From eff1392d524b8797585a0fcc49d62d6ae2e2e49a Mon Sep 17 00:00:00 2001 From: amarchve Date: Thu, 21 Jul 2022 09:04:39 +0200 Subject: [PATCH 01/86] Indicator filter eliminated & new scale --- WDI-Complete code.ipynb | 629 +++++----------------------------------- 1 file changed, 69 insertions(+), 560 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 0431e37..26c7c03 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -33,7 +33,10 @@ "from ipywidgets import interact, interact_manual\n", "import plotly.express as px\n", "from scipy import stats\n", - "from scipy.stats import shapiro" + "from scipy.stats import shapiro\n", + "from scipy.stats import pearsonr\n", + "from scipy.stats import spearmanr\n", + "from pandas.api.types import is_numeric_dtype" ] }, { @@ -885,6 +888,22 @@ "df3" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "BronzeDataFrame=df3" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---- " + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -920,168 +939,10 @@ ] }, { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "indicators_list=['GDP (current US$)','Literacy rate, adult total (% of people ages 15 and above)', 'Government expenditure on education, total (% of government expenditure)','Net migration','Commercial service exports (current US$)','Exports of goods and services (current US$)','Taxes on international trade (current LCU)','Fertility rate, total (births per woman)','People using at least basic sanitation services (% of population)','Employment in agriculture (% of total employment) (modeled ILO estimate)','Employment in services (% of total employment) (modeled ILO estimate)','Employment in industry (% of total employment) (modeled ILO estimate)','Electricity production from renewable sources, excluding hydroelectric (kWh)','Number of infant deaths','Number of infant deaths','Foreign direct investment, net (BoP, current US$)','Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)','Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)','Research and development expenditure (% of GDP)','Labor force with advanced education (% of total working-age population with advanced education)','Suicide mortality rate (per 100,000 population)','CPIA gender equality rating (1=low to 6=high)','Share of youth not in education, employment or training, total (% of youth population)','Government expenditure on education, total (% of government expenditure)']" - ] - }, - { - "cell_type": "code", - "execution_count": 11, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Country CodeIndicator NameDateValue
5334DZACommercial service exports (current US$)19904.795977e+08
5335DZACommercial service exports (current US$)19913.747657e+08
5336DZACommercial service exports (current US$)20052.466000e+09
5337DZACommercial service exports (current US$)20062.512000e+09
5338DZACommercial service exports (current US$)20072.786733e+09
...............
1768492YEMTotal alcohol consumption per capita (liters o...20007.900000e-01
1768493YEMTotal alcohol consumption per capita (liters o...20053.400000e-01
1768494YEMTotal alcohol consumption per capita (liters o...20101.800000e-01
1768495YEMTotal alcohol consumption per capita (liters o...20155.500000e-02
1768496YEMTotal alcohol consumption per capita (liters o...20185.100000e-02
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20377 rows × 4 columns

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" - ], - "text/plain": [ - " Country Code Indicator Name Date \\\n", - "5334 DZA Commercial service exports (current US$) 1990 \n", - "5335 DZA Commercial service exports (current US$) 1991 \n", - "5336 DZA Commercial service exports (current US$) 2005 \n", - "5337 DZA Commercial service exports (current US$) 2006 \n", - "5338 DZA Commercial service exports (current US$) 2007 \n", - "... ... ... ... \n", - "1768492 YEM Total alcohol consumption per capita (liters o... 2000 \n", - "1768493 YEM Total alcohol consumption per capita (liters o... 2005 \n", - "1768494 YEM Total alcohol consumption per capita (liters o... 2010 \n", - "1768495 YEM Total alcohol consumption per capita (liters o... 2015 \n", - "1768496 YEM Total alcohol consumption per capita (liters o... 2018 \n", - "\n", - " Value \n", - "5334 4.795977e+08 \n", - "5335 3.747657e+08 \n", - "5336 2.466000e+09 \n", - "5337 2.512000e+09 \n", - "5338 2.786733e+09 \n", - "... ... \n", - "1768492 7.900000e-01 \n", - "1768493 3.400000e-01 \n", - "1768494 1.800000e-01 \n", - "1768495 5.500000e-02 \n", - "1768496 5.100000e-02 \n", - "\n", - "[20377 rows x 4 columns]" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "BronzeDataFrame=df3.loc[df3['Indicator Name'].isin(indicators_list)]\n", - "pd.set_option('display.max_rows', 10)\n", - "BronzeDataFrame" + "-----" ] }, { @@ -1122,399 +983,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Firstly, what we have done is to change the name of our indicators, as their original denomination is not easy to handle." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Country CodeIndicator Name19601961196219631964196519661967...201320142015201620172018201920202021Unnamed: 66
0AFEAccess to clean fuels and technologies for coo...NaNNaNNaNNaNNaNNaNNaNNaN...16.93600417.33789617.68709318.14097118.49134418.82552019.27221219.628009NaNNaN
1AFEAccess to clean fuels and technologies for coo...NaNNaNNaNNaNNaNNaNNaNNaN...6.4994716.6800666.8591107.0162387.1803647.3222947.5171917.651598NaNNaN
2AFEAccess to clean fuels and technologies for coo...NaNNaNNaNNaNNaNNaNNaNNaN...37.85539938.04678138.32625538.46842638.67004438.72278338.92701639.042839NaNNaN
3AFEAccess to electricity (% of population)NaNNaNNaNNaNNaNNaNNaNNaN...31.79416032.00102733.87191038.88017340.26135843.06187744.27086045.803485NaNNaN
4AFEAccess to electricity, rural (% of rural popul...NaNNaNNaNNaNNaNNaNNaNNaN...18.66350217.63398616.46468124.53143625.34511127.44990829.64176030.404935NaNNaN
..................................................................
384365ZWEWomen who believe a husband is justified in be...NaNNaNNaNNaNNaNNaNNaNNaN...NaNNaN14.500000NaNNaNNaNNaNNaNNaNNaN
384366ZWEWomen who were first married by age 15 (% of w...NaNNaNNaNNaNNaNNaNNaNNaN...NaNNaN3.700000NaNNaNNaN5.418352NaNNaNNaN
384367ZWEWomen who were first married by age 18 (% of w...NaNNaNNaNNaNNaNNaNNaNNaN...NaN33.50000032.400000NaNNaNNaN33.658057NaNNaNNaN
384368ZWEWomen's share of population ages 15+ living wi...NaNNaNNaNNaNNaNNaNNaNNaN...59.20000059.40000059.50000059.70000059.90000060.00000060.20000060.400000NaNNaN
384369ZWEYoung people (ages 15-24) newly infected with HIVNaNNaNNaNNaNNaNNaNNaNNaN...18000.00000017000.00000015000.00000014000.00000012000.0000009700.0000009600.0000007500.000000NaNNaN
\n", - "

384370 rows × 65 columns

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" - ], - "text/plain": [ - " Country Code Indicator Name 1960 \\\n", - "0 AFE Access to clean fuels and technologies for coo... NaN \n", - "1 AFE Access to clean fuels and technologies for coo... NaN \n", - "2 AFE Access to clean fuels and technologies for coo... NaN \n", - "3 AFE Access to electricity (% of population) NaN \n", - "4 AFE Access to electricity, rural (% of rural popul... NaN \n", - "... ... ... ... \n", - "384365 ZWE Women who believe a husband is justified in be... NaN \n", - "384366 ZWE Women who were first married by age 15 (% of w... NaN \n", - "384367 ZWE Women who were first married by age 18 (% of w... NaN \n", - "384368 ZWE Women's share of population ages 15+ living wi... NaN \n", - "384369 ZWE Young people (ages 15-24) newly infected with HIV NaN \n", - "\n", - " 1961 1962 1963 1964 1965 1966 1967 ... 2013 \\\n", - "0 NaN NaN NaN NaN NaN NaN NaN ... 16.936004 \n", - "1 NaN NaN NaN NaN NaN NaN NaN ... 6.499471 \n", - "2 NaN NaN NaN NaN NaN NaN NaN ... 37.855399 \n", - "3 NaN NaN NaN NaN NaN NaN NaN ... 31.794160 \n", - "4 NaN NaN NaN NaN NaN NaN NaN ... 18.663502 \n", - "... ... ... ... ... ... ... ... ... ... \n", - "384365 NaN NaN NaN NaN NaN NaN NaN ... NaN \n", - "384366 NaN NaN NaN NaN NaN NaN NaN ... NaN \n", - "384367 NaN NaN NaN NaN NaN NaN NaN ... NaN \n", - "384368 NaN NaN NaN NaN NaN NaN NaN ... 59.200000 \n", - "384369 NaN NaN NaN NaN NaN NaN NaN ... 18000.000000 \n", - "\n", - " 2014 2015 2016 2017 2018 \\\n", - "0 17.337896 17.687093 18.140971 18.491344 18.825520 \n", - "1 6.680066 6.859110 7.016238 7.180364 7.322294 \n", - "2 38.046781 38.326255 38.468426 38.670044 38.722783 \n", - "3 32.001027 33.871910 38.880173 40.261358 43.061877 \n", - "4 17.633986 16.464681 24.531436 25.345111 27.449908 \n", - "... ... ... ... ... ... \n", - "384365 NaN 14.500000 NaN NaN NaN \n", - "384366 NaN 3.700000 NaN NaN NaN \n", - "384367 33.500000 32.400000 NaN NaN NaN \n", - "384368 59.400000 59.500000 59.700000 59.900000 60.000000 \n", - "384369 17000.000000 15000.000000 14000.000000 12000.000000 9700.000000 \n", - "\n", - " 2019 2020 2021 Unnamed: 66 \n", - "0 19.272212 19.628009 NaN NaN \n", - "1 7.517191 7.651598 NaN NaN \n", - "2 38.927016 39.042839 NaN NaN \n", - "3 44.270860 45.803485 NaN NaN \n", - "4 29.641760 30.404935 NaN NaN \n", - "... ... ... ... ... \n", - "384365 NaN NaN NaN NaN \n", - "384366 5.418352 NaN NaN NaN \n", - "384367 33.658057 NaN NaN NaN \n", - "384368 60.200000 60.400000 NaN NaN \n", - "384369 9600.000000 7500.000000 NaN NaN \n", - "\n", - "[384370 rows x 65 columns]" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "BronzeDataFrame['Indicator Name']=BronzeDataFrame['Indicator Name'].replace(['CPIA gender equality rating (1=low to 6=high)','Commercial service exports (current US$)','Electricity production from renewable sources, excluding hydroelectric (kWh)','Employment in agriculture (% of total employment) (modeled ILO estimate)','Employment in industry (% of total employment) (modeled ILO estimate)','Employment in services (% of total employment) (modeled ILO estimate)','Exports of goods and services (current US$)','Fertility rate, total (births per woman)','Foreign direct investment, net (BoP, current US$)','GDP (current US$)','Government expenditure on education, total (% of government expenditure)','Labor force with advanced education (% of total working-age population with advanced education)','Literacy rate, adult total (% of people ages 15 and above)','Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)','Net migration','Number of infant deaths','People using at least basic sanitation services (% of population)','Research and development expenditure (% of GDP)','Share of youth not in education, employment or training, total (% of youth population)','Suicide mortality rate (per 100,000 population)','Taxes on international trade (current LCU)','Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)'],['Gender equality','Exports-Commercial services','Renewable electricity','Employment-agriculture','Employment-industry','Employment-services','Exports-G&S','Fertility rate','Foreign investment','GDP','Education GExp','Workers high education','Literacy rate','Mortality-pollution','Net migration','Mortality-infants','Health services use','R&D GExp','Ninis','Suicide','International taxes','Alcohol per capita'])\n", - "df" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Secondly, we compute the first quartile (Q1=25%) and the third quartile (Q3=75%). For that, we have grouped the data by country code and indicator name, so we get the Q1 and Q3 values for each indicator in each geographical area. " + "Firstly, we compute the first quartile (Q1=25%) and the third quartile (Q3=75%). For that, we have grouped the data by country code and indicator name, so we get the Q1 and Q3 values for each indicator in each geographical area. " ] }, { @@ -2638,6 +2107,15 @@ "df_limpio" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cols=df_limpio['Indicator'].unique().tolist()" + ] + }, { "cell_type": "code", "execution_count": 22, @@ -3319,6 +2797,13 @@ "data.isna().sum().sum()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Fix explanation" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -3743,14 +3228,14 @@ "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", "datc=dat.interpolate(method=\"linear\")\n", "datf=datc.fillna(method='bfill')\n", - "datr[col_to_scale]=(datr[col_to_scale]-datr[col_to_scale].min())/(datr[col_to_scale].max()-datr[col_to_scale].min())\n", + "datr=datf.fillna(method='ffill')\n", "data=datr\n", "\n", "for i in range(1,len(country_list)):\n", " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", " datc=dat.interpolate(method=\"linear\")\n", " datc=datc.fillna(method='bfill')\n", - " datc[col_to_scale]=(datc[col_to_scale]-datc[col_to_scale].min())/(datc[col_to_scale].max()-datc[col_to_scale].min())\n", + " datc=datc.fillna(method='ffill')\n", " data=pd.concat((data, datc), axis = 0)\n", "data" ] @@ -4177,6 +3662,7 @@ } ], "source": [ + "data.replace([np.inf, -np.inf], np.nan, inplace=True)\n", "for i in range(0, len(col_to_scale)):\n", " if data[col_to_scale[i]].isna().sum()>1000:\n", " del(data[col_to_scale[i]])\n", @@ -4191,6 +3677,26 @@ "As a result we have dropped the *Gender equality* and *Mortality-pollution* variables." ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "columns=data.columns.values.tolist()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for i in range(2,len(columns)):\n", + " data[columns[i]]=data[columns[i]]/data.iloc[0,i]\n", + "data" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -4681,8 +4187,9 @@ "metadata": {}, "outputs": [], "source": [ - "columns=['Country','Year','Exports-Commercial services','Renewable electricity','Employment-agriculture','Employment-industry','Employment-services','Exports-G&S','Fertility rate','Foreign investment','GDP','Education GExp','Workers high education','Literacy rate','Net migration','Mortality-infants','Health services use','R&D GExp','Ninis','Suicide','International taxes','Alcohol per capita']\n", - "clist=Goldendataframe['Country'].unique()" + "columns=Goldendataframe.columns.values.tolist()\n", + "clist=Goldendataframe['Country'].unique()\n", + "common=['Unnamed: 0','Country','Year']" ] }, { @@ -4699,13 +4206,15 @@ "outputs": [], "source": [ "def multcolumn(frame):\n", - " for u in range(3, len(columns)):\n", + " for u in range(2, len(columns)-1):\n", + " name=columns[u]+'.l'\n", " name2=columns[u]+'.^2'\n", " name3=columns[u]+'.^3'\n", " namelog=columns[u]+'.log'\n", " frame.loc[:,name2] = frame[columns[u]]**2\n", " frame.loc[:,name3] = frame[columns[u]]**3\n", - " frame.loc[:,namelog] = np.log(frame[columns[u]])" + " frame.loc[:,namelog] = np.log(frame[columns[u]])\n", + " frame.rename(columns={columns[u]:name}, inplace=True)" ] }, { From a111977ac0d68d35a05431a8d4b1b827ca7b4ea7 Mon Sep 17 00:00:00 2001 From: amarchve Date: Thu, 21 Jul 2022 09:53:06 +0200 Subject: [PATCH 02/86] New corr added --- WDI-Complete code.ipynb | 216 ++++++++++++++++++++++++++++++++-------- 1 file changed, 174 insertions(+), 42 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 26c7c03..2c464c5 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -4238,7 +4238,44 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Firstly we need to calculate the correlation table for each country, therefore we use the basic function `corr()` which provides the Pearson correlation table, as well as a filter for the countries." + "Firstly we are going to create two lists for the variables, which their p-value is under 0.05 for each correlation, so later on, we can calculate only the correlations of those variables." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dat=df.loc[df.loc[:, 'Country'] == clist[0]]\n", + "listacorpe=[]\n", + "listacorsp=[]\n", + "clmns=dat.columns.values.tolist()\n", + "for c in range(0, len(clmns)):\n", + " if dat[clmns[c]].isna().sum()>=1:\n", + " del(dat[clmns[c]])\n", + "pilares=dat.columns.values.tolist()\n", + "for u in range(0,len(pilares)):\n", + " if is_numeric_dtype(dat[pilares[u]]):\n", + " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$).l'])\n", + " if pvalue<=0.05:\n", + " listacorpe.append(pilares[u])\n", + " else:\n", + " pass\n", + " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$).l'])\n", + " if pvalue<=0.05:\n", + " listacorsp.append(pilares[u])\n", + " else:\n", + " pass\n", + " else:\n", + " pass" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Secondly, we need to calculate the correlation table for each country, therefore we use the basic function `corr()` which provides either the Pearson correlation table or the Spearman correlation table, as well as a filter for the countries." ] }, { @@ -4248,7 +4285,12 @@ "outputs": [], "source": [ "dat=df.loc[df.loc[:, 'Country'] == clist[0]]\n", - "cor=dat.corr()" + "\n", + "datp=dat[dat.columns[dat.columns.isin(listacorpe)]]\n", + "corp=datp.corr('pearson')\n", + "\n", + "datsp=dat[dat.columns[dat.columns.isin(listacorsp)]]\n", + "cors=datsp.corr('spearman')" ] }, { @@ -4264,7 +4306,9 @@ "metadata": {}, "outputs": [], "source": [ - "cor.loc[:,'R^2 Pearson'] = cor['GDP']**2" + "corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$).l']**2\n", + "\n", + "cors.loc[:,'R^2 Spearman'] = cors['GDP (current US$).l']**2" ] }, { @@ -4280,8 +4324,11 @@ "metadata": {}, "outputs": [], "source": [ - "cor.loc[:,'Indicator']=cor.index\n", - "cor[['Indicator','Type']]=cor.Indicator.str.split('.',expand=True)" + "corp.loc[:,'Indicator']=corp.index\n", + "corp[['Indicator','Type']]=corp.Indicator.str.split('.',1, expand=True)\n", + "\n", + "cors.loc[:,'Indicator']=cors.index\n", + "cors[['Indicator','Type']]=cors.Indicator.str.split('.',1, expand=True)" ] }, { @@ -4297,8 +4344,11 @@ "metadata": {}, "outputs": [], "source": [ - "corcolumn=cor[['Indicator','Type','R^2 Pearson','GDP']]\n", - "corcolumn=corcolumn.loc[corcolumn.loc[:, 'R^2 Pearson'] >= 0.75]" + "corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$).l']]\n", + "corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= 0.75]\n", + "\n", + "corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", + "corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.6]" ] }, { @@ -4314,9 +4364,13 @@ "metadata": {}, "outputs": [], "source": [ - "id=corcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corcolumn['R^2 Pearson']\n", - "corcolumn[id]\n", - "max_df=pd.DataFrame(corcolumn[id])" + "idp=corpcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corpcolumn['R^2 Pearson']\n", + "corpcolumn[idp]\n", + "maxp_df=pd.DataFrame(corpcolumn[idp])\n", + "\n", + "ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", + "corscolumn[ids]\n", + "maxs_df=pd.DataFrame(corscolumn[ids])" ] }, { @@ -4332,9 +4386,13 @@ "metadata": {}, "outputs": [], "source": [ - "max_df['Behaviour']=np.where(max_df['GDP']>0, 'Positive', 'Negative')\n", - "max_df['Type']=max_df['Type'].replace(['^2','^3','log'],['Cuadratic','Cubic','Logarithmic'])\n", - "max_df['Country']= clist[0]" + "maxp_df['Behaviour']=np.where(maxp_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", + "maxp_df['Type']=maxp_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", + "maxp_df['Country']= clist[0]\n", + "\n", + "maxs_df['Behaviour']=np.where(maxs_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", + "maxs_df['Type']=maxs_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", + "maxs_df['Country']= clist[0]" ] }, { @@ -4350,18 +4408,25 @@ "metadata": {}, "outputs": [], "source": [ - "max_df.drop(\"GDP\",axis=1,inplace=True)\n", - "max_df=max_df.reset_index(drop=True)\n", - "max_df = max_df.drop(max_df[max_df['Indicator']=='Year'].index)\n", - "max_df = max_df.drop(max_df[max_df['Indicator']=='GDP'].index)\n", - "max_df = max_df.drop(max_df[max_df['Indicator']=='Unnamed: 0'].index)" + "maxp_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", + "maxp_df=maxp_df.reset_index(drop=True)\n", + "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Year'].index)\n", + "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='GDP (current US$)'].index)\n", + "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Unnamed: 0'].index)\n", + "\n", + "maxs_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", + "maxs_df=maxs_df.reset_index(drop=True)\n", + "maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", + "maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='GDP (current US$)'].index)\n", + "maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", + "maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "And finnally we sort the values in descending order by the column *R^2 Pearson*." + "And finally we sort the values in descending order by the column *R^2 Pearson*." ] }, { @@ -4370,8 +4435,9 @@ "metadata": {}, "outputs": [], "source": [ - "max_df=max_df.sort_values(by = 'R^2 Pearson',ascending = False)\n", - "demo2=max_df" + "maxp_df=maxp_df.sort_values(by = 'R^2 Pearson',ascending = False)\n", + "pearsondf= maxp_df\n", + "spearmandf=maxs_df" ] }, { @@ -4558,27 +4624,93 @@ "source": [ "for i in range(1,len(clist)):\n", " dat=df.loc[df.loc[:, 'Country'] == clist[i]]\n", - " cor=dat.corr() \n", - " cor.loc[:,'R^2 Pearson'] = cor['GDP']**2\n", - " cor.loc[:,'Indicator']=cor.index\n", - " cor[['Indicator','Type']]=cor.Indicator.str.split('.',expand=True) \n", - " corcolumn=cor[['Indicator','Type','R^2 Pearson','GDP']]\n", - " corcolumn=corcolumn.loc[corcolumn.loc[:, 'R^2 Pearson'] >= 0.75]\n", - " id=corcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corcolumn['R^2 Pearson']\n", - " corcolumn[id]\n", - " max_df=pd.DataFrame(corcolumn[id])\n", - " max_df['Behaviour']=np.where(max_df['GDP']>0, 'Positive', 'Negative')\n", - " max_df['Type']=max_df['Type'].replace(['^2','^3','log'],['Cuadratic','Cubic','Logarithmic'])\n", - " max_df['Country']= clist[i]\n", - " max_df.drop(\"GDP\",axis=1,inplace=True)\n", - " max_df=max_df.reset_index(drop=True)\n", - " max_df = max_df.drop(max_df[max_df['Indicator']=='Year'].index)\n", - " max_df = max_df.drop(max_df[max_df['Indicator']=='GDP'].index)\n", - " max_df = max_df.drop(max_df[max_df['Indicator']=='Unnamed: 0'].index)\n", - " max_df=max_df.sort_values(by = 'R^2 Pearson',ascending = False)\n", - " demo2=pd.concat((demo2, max_df), axis = 0)\n", - "demo2['Continent']=demo2['Country'].map(all_countries)\n", - "demo2" + " listacorpe=[]\n", + " listacorsp=[]\n", + " clmns=dat.columns.values.tolist()\n", + " for c in range(0, len(clmns)):\n", + " if dat[clmns[c]].isna().sum()>=1:\n", + " del(dat[clmns[c]])\n", + " pilares=dat.columns.values.tolist()\n", + " for u in range(0,len(pilares)):\n", + " if is_numeric_dtype(dat[pilares[u]]):\n", + " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$).l'])\n", + " if pvalue<=0.05:\n", + " listacorpe.append(pilares[u])\n", + " else:\n", + " pass\n", + " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$).l'])\n", + " if pvalue<=0.05:\n", + " listacorsp.append(pilares[u])\n", + " else:\n", + " pass\n", + " else:\n", + " pass\n", + " \n", + " dat=df.loc[df.loc[:, 'Country'] == clist[i]]\n", + "\n", + " datp=dat[dat.columns[dat.columns.isin(listacorpe)]]\n", + " corp=datp.corr('pearson')\n", + "\n", + " datsp=dat[dat.columns[dat.columns.isin(listacorsp)]]\n", + " cors=datsp.corr('spearman')\n", + "\n", + "\n", + " corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$).l']**2\n", + "\n", + " cors.loc[:,'R^2 Spearman'] = cors['GDP (current US$).l']**2\n", + "\n", + "\n", + " corp.loc[:,'Indicator']=corp.index\n", + " corp[['Indicator','Type']]=corp.Indicator.str.split('.',1, expand=True)\n", + "\n", + " cors.loc[:,'Indicator']=cors.index\n", + " cors[['Indicator','Type']]=cors.Indicator.str.split('.',1, expand=True)\n", + "\n", + "\n", + " corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$).l']]\n", + " corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= 0.75]\n", + " \n", + " corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.6]\n", + "\n", + "\n", + " idp=corpcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corpcolumn['R^2 Pearson']\n", + " corpcolumn[idp]\n", + " maxp_df=pd.DataFrame(corpcolumn[idp])\n", + "\n", + " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", + " corscolumn[ids]\n", + " maxs_df=pd.DataFrame(corscolumn[ids])\n", + "\n", + "\n", + " maxp_df['Behaviour']=np.where(maxp_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", + " maxp_df['Type']=maxp_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", + " maxp_df['Country']= clist[i]\n", + "\n", + " maxs_df['Behaviour']=np.where(maxs_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", + " maxs_df['Type']=maxs_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", + " maxs_df['Country']= clist[i]\n", + "\n", + "\n", + " maxp_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", + " maxp_df=maxp_df.reset_index(drop=True)\n", + " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Year'].index)\n", + " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='GDP (current US$)'].index)\n", + " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Unnamed: 0'].index)\n", + "\n", + " maxs_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", + " maxs_df=maxs_df.reset_index(drop=True)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='GDP (current US$)'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", + " maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)\n", + "\n", + "\n", + " maxp_df=maxp_df.sort_values(by = 'R^2 Pearson',ascending = False)\n", + " pearsondf= maxp_df\n", + " spearmandf=maxs_df\n", + "\n", + "display(spearmandf.merge(pearsondf, left_on=('Indicator', 'Country','Type','Behaviour'), right_on=('Indicator', 'Country','Type','Behaviour')))" ] }, { From 9ce55a4f18f5f165a12710907734ac68ae398be0 Mon Sep 17 00:00:00 2001 From: amarchve Date: Fri, 22 Jul 2022 09:08:52 +0200 Subject: [PATCH 03/86] bug from 21/07 fixed --- WDI-Complete code.ipynb | 7629 ++++++++++++++++++++++----------------- 1 file changed, 4343 insertions(+), 3286 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 2c464c5..8716dfc 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -890,7 +890,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -988,16 +988,16 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 13, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -1009,7 +1009,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -1047,29 +1047,29 @@ " \n", " \n", " ARE\n", - " Alcohol per capita\n", + " Access to clean fuels and technologies for cooking (% of population)\n", " 10.0\n", - " 6.400000e-01\n", + " 0.00\n", " \n", " \n", - " Education GExp\n", - " 0.0\n", - " 0.000000e+00\n", + " Access to clean fuels and technologies for cooking, rural (% of rural population)\n", + " 10.0\n", + " 0.00\n", " \n", " \n", - " Employment-agriculture\n", - " 14.0\n", - " 5.130000e+00\n", + " Access to clean fuels and technologies for cooking, urban (% of urban population)\n", + " 10.0\n", + " 0.00\n", " \n", " \n", - " Employment-industry\n", - " 14.0\n", - " 1.449997e+00\n", + " Access to electricity (% of population)\n", + " 15.0\n", + " 0.00\n", " \n", " \n", - " Employment-services\n", - " 14.0\n", - " 3.830002e+00\n", + " Access to electricity, rural (% of rural population)\n", + " 15.0\n", + " 0.00\n", " \n", " \n", " ...\n", @@ -1079,54 +1079,68 @@ " \n", " \n", " ZAF\n", - " Ninis\n", - " 12.5\n", - " 2.997499e+00\n", + " Women who believe a husband is justified in beating his wife when she refuses sex with him (%)\n", + " 0.0\n", + " 0.00\n", " \n", " \n", - " R&D GExp\n", - " 8.0\n", - " 1.011100e-01\n", + " Women who were first married by age 15 (% of women ages 20-24)\n", + " 9.0\n", + " 0.15\n", " \n", " \n", - " Renewable electricity\n", - " 12.5\n", - " 2.292500e+08\n", + " Women who were first married by age 18 (% of women ages 20-24)\n", + " 9.0\n", + " 2.15\n", " \n", " \n", - " Suicide\n", - " 9.5\n", - " 1.025000e+00\n", + " Women's share of population ages 15+ living with HIV (%)\n", + " 15.0\n", + " 4.90\n", " \n", " \n", - " Workers high education\n", - " 10.5\n", - " 1.712500e+00\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 15.0\n", + " 85000.00\n", " \n", " \n", "\n", - "

978 rows × 2 columns

\n", + "

59239 rows × 2 columns

\n", "" ], "text/plain": [ - " Date Value\n", - "Country Code Indicator Name \n", - "ARE Alcohol per capita 10.0 6.400000e-01\n", - " Education GExp 0.0 0.000000e+00\n", - " Employment-agriculture 14.0 5.130000e+00\n", - " Employment-industry 14.0 1.449997e+00\n", - " Employment-services 14.0 3.830002e+00\n", - "... ... ...\n", - "ZAF Ninis 12.5 2.997499e+00\n", - " R&D GExp 8.0 1.011100e-01\n", - " Renewable electricity 12.5 2.292500e+08\n", - " Suicide 9.5 1.025000e+00\n", - " Workers high education 10.5 1.712500e+00\n", - "\n", - "[978 rows x 2 columns]" + " Date \\\n", + "Country Code Indicator Name \n", + "ARE Access to clean fuels and technologies for cook... 10.0 \n", + " Access to clean fuels and technologies for cook... 10.0 \n", + " Access to clean fuels and technologies for cook... 10.0 \n", + " Access to electricity (% of population) 15.0 \n", + " Access to electricity, rural (% of rural popula... 15.0 \n", + "... ... \n", + "ZAF Women who believe a husband is justified in bea... 0.0 \n", + " Women who were first married by age 15 (% of wo... 9.0 \n", + " Women who were first married by age 18 (% of wo... 9.0 \n", + " Women's share of population ages 15+ living wit... 15.0 \n", + " Young people (ages 15-24) newly infected with HIV 15.0 \n", + "\n", + " Value \n", + "Country Code Indicator Name \n", + "ARE Access to clean fuels and technologies for cook... 0.00 \n", + " Access to clean fuels and technologies for cook... 0.00 \n", + " Access to clean fuels and technologies for cook... 0.00 \n", + " Access to electricity (% of population) 0.00 \n", + " Access to electricity, rural (% of rural popula... 0.00 \n", + "... ... \n", + "ZAF Women who believe a husband is justified in bea... 0.00 \n", + " Women who were first married by age 15 (% of wo... 0.15 \n", + " Women who were first married by age 18 (% of wo... 2.15 \n", + " Women's share of population ages 15+ living wit... 4.90 \n", + " Young people (ages 15-24) newly infected with HIV 85000.00 \n", + "\n", + "[59239 rows x 2 columns]" ] }, - "execution_count": 14, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -1147,7 +1161,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1183,24 +1197,24 @@ " \n", " \n", " ARE\n", - " Alcohol per capita\n", - " 2.190000e+00\n", + " Access to clean fuels and technologies for cooking (% of population)\n", + " 100.000\n", " \n", " \n", - " Education GExp\n", - " 1.026766e+01\n", + " Access to clean fuels and technologies for cooking, rural (% of rural population)\n", + " 100.000\n", " \n", " \n", - " Employment-agriculture\n", - " -4.905000e+00\n", + " Access to clean fuels and technologies for cooking, urban (% of urban population)\n", + " 100.000\n", " \n", " \n", - " Employment-industry\n", - " 3.131501e+01\n", + " Access to electricity (% of population)\n", + " 100.000\n", " \n", " \n", - " Employment-services\n", - " 5.269500e+01\n", + " Access to electricity, rural (% of rural population)\n", + " 100.000\n", " \n", " \n", " ...\n", @@ -1209,49 +1223,49 @@ " \n", " \n", " ZAF\n", - " Ninis\n", - " 2.684375e+01\n", + " Women who believe a husband is justified in beating his wife when she refuses sex with him (%)\n", + " 1.000\n", " \n", " \n", - " R&D GExp\n", - " 5.828450e-01\n", + " Women who were first married by age 15 (% of women ages 20-24)\n", + " 0.625\n", " \n", " \n", - " Renewable electricity\n", - " -2.623750e+08\n", + " Women who were first married by age 18 (% of women ages 20-24)\n", + " 1.375\n", " \n", " \n", - " Suicide\n", - " 2.203750e+01\n", + " Women's share of population ages 15+ living with HIV (%)\n", + " 49.850\n", " \n", " \n", - " Workers high education\n", - " 8.050875e+01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " -22500.000\n", " \n", " \n", "\n", - "

978 rows × 1 columns

\n", + "

59239 rows × 1 columns

\n", "" ], "text/plain": [ - " Lower limit\n", - "Country Code Indicator Name \n", - "ARE Alcohol per capita 2.190000e+00\n", - " Education GExp 1.026766e+01\n", - " Employment-agriculture -4.905000e+00\n", - " Employment-industry 3.131501e+01\n", - " Employment-services 5.269500e+01\n", - "... ...\n", - "ZAF Ninis 2.684375e+01\n", - " R&D GExp 5.828450e-01\n", - " Renewable electricity -2.623750e+08\n", - " Suicide 2.203750e+01\n", - " Workers high education 8.050875e+01\n", - "\n", - "[978 rows x 1 columns]" + " Lower limit\n", + "Country Code Indicator Name \n", + "ARE Access to clean fuels and technologies for cook... 100.000\n", + " Access to clean fuels and technologies for cook... 100.000\n", + " Access to clean fuels and technologies for cook... 100.000\n", + " Access to electricity (% of population) 100.000\n", + " Access to electricity, rural (% of rural popula... 100.000\n", + "... ...\n", + "ZAF Women who believe a husband is justified in bea... 1.000\n", + " Women who were first married by age 15 (% of wo... 0.625\n", + " Women who were first married by age 18 (% of wo... 1.375\n", + " Women's share of population ages 15+ living wit... 49.850\n", + " Young people (ages 15-24) newly infected with HIV -22500.000\n", + "\n", + "[59239 rows x 1 columns]" ] }, - "execution_count": 15, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1264,7 +1278,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -1300,24 +1314,24 @@ " \n", " \n", " ARE\n", - " Alcohol per capita\n", - " 4.750000e+00\n", + " Access to clean fuels and technologies for cooking (% of population)\n", + " 100.000\n", " \n", " \n", - " Education GExp\n", - " 1.026766e+01\n", + " Access to clean fuels and technologies for cooking, rural (% of rural population)\n", + " 100.000\n", " \n", " \n", - " Employment-agriculture\n", - " 1.561500e+01\n", + " Access to clean fuels and technologies for cooking, urban (% of urban population)\n", + " 100.000\n", " \n", " \n", - " Employment-industry\n", - " 3.711499e+01\n", + " Access to electricity (% of population)\n", + " 100.000\n", " \n", " \n", - " Employment-services\n", - " 6.801500e+01\n", + " Access to electricity, rural (% of rural population)\n", + " 100.000\n", " \n", " \n", " ...\n", @@ -1326,49 +1340,49 @@ " \n", " \n", " ZAF\n", - " Ninis\n", - " 3.883375e+01\n", + " Women who believe a husband is justified in beating his wife when she refuses sex with him (%)\n", + " 1.000\n", " \n", " \n", - " R&D GExp\n", - " 9.872850e-01\n", + " Women who were first married by age 15 (% of women ages 20-24)\n", + " 1.225\n", " \n", " \n", - " Renewable electricity\n", - " 6.546250e+08\n", + " Women who were first married by age 18 (% of women ages 20-24)\n", + " 9.975\n", " \n", " \n", - " Suicide\n", - " 2.613750e+01\n", + " Women's share of population ages 15+ living with HIV (%)\n", + " 69.450\n", " \n", " \n", - " Workers high education\n", - " 8.735875e+01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 317500.000\n", " \n", " \n", "\n", - "

978 rows × 1 columns

\n", + "

59239 rows × 1 columns

\n", "" ], "text/plain": [ - " Upper limit\n", - "Country Code Indicator Name \n", - "ARE Alcohol per capita 4.750000e+00\n", - " Education GExp 1.026766e+01\n", - " Employment-agriculture 1.561500e+01\n", - " Employment-industry 3.711499e+01\n", - " Employment-services 6.801500e+01\n", - "... ...\n", - "ZAF Ninis 3.883375e+01\n", - " R&D GExp 9.872850e-01\n", - " Renewable electricity 6.546250e+08\n", - " Suicide 2.613750e+01\n", - " Workers high education 8.735875e+01\n", - "\n", - "[978 rows x 1 columns]" + " Upper limit\n", + "Country Code Indicator Name \n", + "ARE Access to clean fuels and technologies for cook... 100.000\n", + " Access to clean fuels and technologies for cook... 100.000\n", + " Access to clean fuels and technologies for cook... 100.000\n", + " Access to electricity (% of population) 100.000\n", + " Access to electricity, rural (% of rural popula... 100.000\n", + "... ...\n", + "ZAF Women who believe a husband is justified in bea... 1.000\n", + " Women who were first married by age 15 (% of wo... 1.225\n", + " Women who were first married by age 18 (% of wo... 9.975\n", + " Women's share of population ages 15+ living wit... 69.450\n", + " Young people (ages 15-24) newly infected with HIV 317500.000\n", + "\n", + "[59239 rows x 1 columns]" ] }, - "execution_count": 16, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1388,7 +1402,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -1424,47 +1438,47 @@ " \n", " 0\n", " DZA\n", - " Exports-Commercial services\n", - " 1990\n", - " 4.795977e+08\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2000\n", + " 97.1\n", + " 97.0\n", + " 101.0\n", " \n", " \n", " 1\n", " DZA\n", - " Exports-Commercial services\n", - " 1991\n", - " 3.747657e+08\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2001\n", + " 97.3\n", + " 97.0\n", + " 101.0\n", " \n", " \n", " 2\n", " DZA\n", - " Exports-Commercial services\n", - " 2005\n", - " 2.466000e+09\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2002\n", + " 97.8\n", + " 97.0\n", + " 101.0\n", " \n", " \n", " 3\n", " DZA\n", - " Exports-Commercial services\n", - " 2006\n", - " 2.512000e+09\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2003\n", + " 98.0\n", + " 97.0\n", + " 101.0\n", " \n", " \n", " 4\n", " DZA\n", - " Exports-Commercial services\n", - " 2007\n", - " 2.786733e+09\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2004\n", + " 98.2\n", + " 97.0\n", + " 101.0\n", " \n", " \n", " ...\n", @@ -1476,86 +1490,86 @@ " ...\n", " \n", " \n", - " 20372\n", + " 1225413\n", " YEM\n", - " Alcohol per capita\n", - " 2000\n", - " 7.900000e-01\n", - " -3.725000e-01\n", - " 7.675000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2016\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", - " 20373\n", + " 1225414\n", " YEM\n", - " Alcohol per capita\n", - " 2005\n", - " 3.400000e-01\n", - " -3.725000e-01\n", - " 7.675000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2017\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", - " 20374\n", + " 1225415\n", " YEM\n", - " Alcohol per capita\n", - " 2010\n", - " 1.800000e-01\n", - " -3.725000e-01\n", - " 7.675000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2018\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", - " 20375\n", + " 1225416\n", " YEM\n", - " Alcohol per capita\n", - " 2015\n", - " 5.500000e-02\n", - " -3.725000e-01\n", - " 7.675000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2019\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", - " 20376\n", + " 1225417\n", " YEM\n", - " Alcohol per capita\n", - " 2018\n", - " 5.100000e-02\n", - " -3.725000e-01\n", - " 7.675000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2020\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", "\n", - "

20377 rows × 6 columns

\n", + "

1225418 rows × 6 columns

\n", "" ], "text/plain": [ - " Country Code Indicator Name Date Value_x \\\n", - "0 DZA Exports-Commercial services 1990 4.795977e+08 \n", - "1 DZA Exports-Commercial services 1991 3.747657e+08 \n", - "2 DZA Exports-Commercial services 2005 2.466000e+09 \n", - "3 DZA Exports-Commercial services 2006 2.512000e+09 \n", - "4 DZA Exports-Commercial services 2007 2.786733e+09 \n", - "... ... ... ... ... \n", - "20372 YEM Alcohol per capita 2000 7.900000e-01 \n", - "20373 YEM Alcohol per capita 2005 3.400000e-01 \n", - "20374 YEM Alcohol per capita 2010 1.800000e-01 \n", - "20375 YEM Alcohol per capita 2015 5.500000e-02 \n", - "20376 YEM Alcohol per capita 2018 5.100000e-02 \n", - "\n", - " Value_y Value \n", - "0 1.736231e+09 4.453536e+09 \n", - "1 1.736231e+09 4.453536e+09 \n", - "2 1.736231e+09 4.453536e+09 \n", - "3 1.736231e+09 4.453536e+09 \n", - "4 1.736231e+09 4.453536e+09 \n", - "... ... ... \n", - "20372 -3.725000e-01 7.675000e-01 \n", - "20373 -3.725000e-01 7.675000e-01 \n", - "20374 -3.725000e-01 7.675000e-01 \n", - "20375 -3.725000e-01 7.675000e-01 \n", - "20376 -3.725000e-01 7.675000e-01 \n", - "\n", - "[20377 rows x 6 columns]" + " Country Code Indicator Name Date \\\n", + "0 DZA Access to clean fuels and technologies for coo... 2000 \n", + "1 DZA Access to clean fuels and technologies for coo... 2001 \n", + "2 DZA Access to clean fuels and technologies for coo... 2002 \n", + "3 DZA Access to clean fuels and technologies for coo... 2003 \n", + "4 DZA Access to clean fuels and technologies for coo... 2004 \n", + "... ... ... ... \n", + "1225413 YEM Young people (ages 15-24) newly infected with HIV 2016 \n", + "1225414 YEM Young people (ages 15-24) newly infected with HIV 2017 \n", + "1225415 YEM Young people (ages 15-24) newly infected with HIV 2018 \n", + "1225416 YEM Young people (ages 15-24) newly infected with HIV 2019 \n", + "1225417 YEM Young people (ages 15-24) newly infected with HIV 2020 \n", + "\n", + " Value_x Value_y Value \n", + "0 97.1 97.0 101.0 \n", + "1 97.3 97.0 101.0 \n", + "2 97.8 97.0 101.0 \n", + "3 98.0 97.0 101.0 \n", + "4 98.2 97.0 101.0 \n", + "... ... ... ... \n", + "1225413 200.0 -50.0 350.0 \n", + "1225414 200.0 -50.0 350.0 \n", + "1225415 200.0 -50.0 350.0 \n", + "1225416 200.0 -50.0 350.0 \n", + "1225417 200.0 -50.0 350.0 \n", + "\n", + "[1225418 rows x 6 columns]" ] }, - "execution_count": 17, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1568,7 +1582,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -1577,7 +1591,7 @@ "['Country Code', 'Indicator Name', 'Date', 'Value_x', 'Value_y', 'Value']" ] }, - "execution_count": 18, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1595,7 +1609,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1631,47 +1645,47 @@ " \n", " 0\n", " DZA\n", - " Exports-Commercial services\n", - " 1990\n", - " 4.795977e+08\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2000\n", + " 97.1\n", + " 97.0\n", + " 101.0\n", " \n", " \n", " 1\n", " DZA\n", - " Exports-Commercial services\n", - " 1991\n", - " 3.747657e+08\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2001\n", + " 97.3\n", + " 97.0\n", + " 101.0\n", " \n", " \n", " 2\n", " DZA\n", - " Exports-Commercial services\n", - " 2005\n", - " 2.466000e+09\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2002\n", + " 97.8\n", + " 97.0\n", + " 101.0\n", " \n", " \n", " 3\n", " DZA\n", - " Exports-Commercial services\n", - " 2006\n", - " 2.512000e+09\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2003\n", + " 98.0\n", + " 97.0\n", + " 101.0\n", " \n", " \n", " 4\n", " DZA\n", - " Exports-Commercial services\n", - " 2007\n", - " 2.786733e+09\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2004\n", + " 98.2\n", + " 97.0\n", + " 101.0\n", " \n", " \n", " ...\n", @@ -1683,86 +1697,86 @@ " ...\n", " \n", " \n", - " 20372\n", + " 1225413\n", " YEM\n", - " Alcohol per capita\n", - " 2000\n", - " 7.900000e-01\n", - " -3.725000e-01\n", - " 7.675000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2016\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", - " 20373\n", + " 1225414\n", " YEM\n", - " Alcohol per capita\n", - " 2005\n", - " 3.400000e-01\n", - " -3.725000e-01\n", - " 7.675000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2017\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", - " 20374\n", + " 1225415\n", " YEM\n", - " Alcohol per capita\n", - " 2010\n", - " 1.800000e-01\n", - " -3.725000e-01\n", - " 7.675000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2018\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", - " 20375\n", + " 1225416\n", " YEM\n", - " Alcohol per capita\n", - " 2015\n", - " 5.500000e-02\n", - " -3.725000e-01\n", - " 7.675000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2019\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", - " 20376\n", + " 1225417\n", " YEM\n", - " Alcohol per capita\n", - " 2018\n", - " 5.100000e-02\n", - " -3.725000e-01\n", - " 7.675000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2020\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", "\n", - "

20377 rows × 6 columns

\n", + "

1225418 rows × 6 columns

\n", "" ], "text/plain": [ - " Country Indicator Year Real value Lower value \\\n", - "0 DZA Exports-Commercial services 1990 4.795977e+08 1.736231e+09 \n", - "1 DZA Exports-Commercial services 1991 3.747657e+08 1.736231e+09 \n", - "2 DZA Exports-Commercial services 2005 2.466000e+09 1.736231e+09 \n", - "3 DZA Exports-Commercial services 2006 2.512000e+09 1.736231e+09 \n", - "4 DZA Exports-Commercial services 2007 2.786733e+09 1.736231e+09 \n", - "... ... ... ... ... ... \n", - "20372 YEM Alcohol per capita 2000 7.900000e-01 -3.725000e-01 \n", - "20373 YEM Alcohol per capita 2005 3.400000e-01 -3.725000e-01 \n", - "20374 YEM Alcohol per capita 2010 1.800000e-01 -3.725000e-01 \n", - "20375 YEM Alcohol per capita 2015 5.500000e-02 -3.725000e-01 \n", - "20376 YEM Alcohol per capita 2018 5.100000e-02 -3.725000e-01 \n", - "\n", - " Upper value \n", - "0 4.453536e+09 \n", - "1 4.453536e+09 \n", - "2 4.453536e+09 \n", - "3 4.453536e+09 \n", - "4 4.453536e+09 \n", - "... ... \n", - "20372 7.675000e-01 \n", - "20373 7.675000e-01 \n", - "20374 7.675000e-01 \n", - "20375 7.675000e-01 \n", - "20376 7.675000e-01 \n", + " Country Indicator Year \\\n", + "0 DZA Access to clean fuels and technologies for coo... 2000 \n", + "1 DZA Access to clean fuels and technologies for coo... 2001 \n", + "2 DZA Access to clean fuels and technologies for coo... 2002 \n", + "3 DZA Access to clean fuels and technologies for coo... 2003 \n", + "4 DZA Access to clean fuels and technologies for coo... 2004 \n", + "... ... ... ... \n", + "1225413 YEM Young people (ages 15-24) newly infected with HIV 2016 \n", + "1225414 YEM Young people (ages 15-24) newly infected with HIV 2017 \n", + "1225415 YEM Young people (ages 15-24) newly infected with HIV 2018 \n", + "1225416 YEM Young people (ages 15-24) newly infected with HIV 2019 \n", + "1225417 YEM Young people (ages 15-24) newly infected with HIV 2020 \n", + "\n", + " Real value Lower value Upper value \n", + "0 97.1 97.0 101.0 \n", + "1 97.3 97.0 101.0 \n", + "2 97.8 97.0 101.0 \n", + "3 98.0 97.0 101.0 \n", + "4 98.2 97.0 101.0 \n", + "... ... ... ... \n", + "1225413 200.0 -50.0 350.0 \n", + "1225414 200.0 -50.0 350.0 \n", + "1225415 200.0 -50.0 350.0 \n", + "1225416 200.0 -50.0 350.0 \n", + "1225417 200.0 -50.0 350.0 \n", "\n", - "[20377 rows x 6 columns]" + "[1225418 rows x 6 columns]" ] }, - "execution_count": 19, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -1781,7 +1795,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1815,49 +1829,49 @@ " \n", " \n", " \n", - " 2\n", + " 0\n", " DZA\n", - " Exports-Commercial services\n", - " 2005\n", - " 2.466000e+09\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2000\n", + " 97.1\n", + " 97.0\n", + " 101.0\n", " \n", " \n", - " 3\n", + " 1\n", " DZA\n", - " Exports-Commercial services\n", - " 2006\n", - " 2.512000e+09\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2001\n", + " 97.3\n", + " 97.0\n", + " 101.0\n", " \n", " \n", - " 4\n", + " 2\n", " DZA\n", - " Exports-Commercial services\n", - " 2007\n", - " 2.786733e+09\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2002\n", + " 97.8\n", + " 97.0\n", + " 101.0\n", " \n", " \n", - " 5\n", + " 3\n", " DZA\n", - " Exports-Commercial services\n", - " 2008\n", - " 3.412421e+09\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2003\n", + " 98.0\n", + " 97.0\n", + " 101.0\n", " \n", " \n", - " 6\n", + " 4\n", " DZA\n", - " Exports-Commercial services\n", - " 2009\n", - " 2.744716e+09\n", - " 1.736231e+09\n", - " 4.453536e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2004\n", + " 98.2\n", + " 97.0\n", + " 101.0\n", " \n", " \n", " ...\n", @@ -1869,86 +1883,86 @@ " ...\n", " \n", " \n", - " 20371\n", + " 1225413\n", " YEM\n", - " Suicide\n", - " 2019\n", - " 5.800000e+00\n", - " 5.400000e+00\n", - " 6.200000e+00\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2016\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", - " 20373\n", + " 1225414\n", " YEM\n", - " Alcohol per capita\n", - " 2005\n", - " 3.400000e-01\n", - " -3.725000e-01\n", - " 7.675000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2017\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", - " 20374\n", + " 1225415\n", " YEM\n", - " Alcohol per capita\n", - " 2010\n", - " 1.800000e-01\n", - " -3.725000e-01\n", - " 7.675000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2018\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", - " 20375\n", + " 1225416\n", " YEM\n", - " Alcohol per capita\n", - " 2015\n", - " 5.500000e-02\n", - " -3.725000e-01\n", - " 7.675000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2019\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", - " 20376\n", + " 1225417\n", " YEM\n", - " Alcohol per capita\n", - " 2018\n", - " 5.100000e-02\n", - " -3.725000e-01\n", - " 7.675000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2020\n", + " 200.0\n", + " -50.0\n", + " 350.0\n", " \n", " \n", "\n", - "

19847 rows × 6 columns

\n", + "

1189068 rows × 6 columns

\n", "" ], "text/plain": [ - " Country Indicator Year Real value Lower value \\\n", - "2 DZA Exports-Commercial services 2005 2.466000e+09 1.736231e+09 \n", - "3 DZA Exports-Commercial services 2006 2.512000e+09 1.736231e+09 \n", - "4 DZA Exports-Commercial services 2007 2.786733e+09 1.736231e+09 \n", - "5 DZA Exports-Commercial services 2008 3.412421e+09 1.736231e+09 \n", - "6 DZA Exports-Commercial services 2009 2.744716e+09 1.736231e+09 \n", - "... ... ... ... ... ... \n", - "20371 YEM Suicide 2019 5.800000e+00 5.400000e+00 \n", - "20373 YEM Alcohol per capita 2005 3.400000e-01 -3.725000e-01 \n", - "20374 YEM Alcohol per capita 2010 1.800000e-01 -3.725000e-01 \n", - "20375 YEM Alcohol per capita 2015 5.500000e-02 -3.725000e-01 \n", - "20376 YEM Alcohol per capita 2018 5.100000e-02 -3.725000e-01 \n", - "\n", - " Upper value \n", - "2 4.453536e+09 \n", - "3 4.453536e+09 \n", - "4 4.453536e+09 \n", - "5 4.453536e+09 \n", - "6 4.453536e+09 \n", - "... ... \n", - "20371 6.200000e+00 \n", - "20373 7.675000e-01 \n", - "20374 7.675000e-01 \n", - "20375 7.675000e-01 \n", - "20376 7.675000e-01 \n", + " Country Indicator Year \\\n", + "0 DZA Access to clean fuels and technologies for coo... 2000 \n", + "1 DZA Access to clean fuels and technologies for coo... 2001 \n", + "2 DZA Access to clean fuels and technologies for coo... 2002 \n", + "3 DZA Access to clean fuels and technologies for coo... 2003 \n", + "4 DZA Access to clean fuels and technologies for coo... 2004 \n", + "... ... ... ... \n", + "1225413 YEM Young people (ages 15-24) newly infected with HIV 2016 \n", + "1225414 YEM Young people (ages 15-24) newly infected with HIV 2017 \n", + "1225415 YEM Young people (ages 15-24) newly infected with HIV 2018 \n", + "1225416 YEM Young people (ages 15-24) newly infected with HIV 2019 \n", + "1225417 YEM Young people (ages 15-24) newly infected with HIV 2020 \n", + "\n", + " Real value Lower value Upper value \n", + "0 97.1 97.0 101.0 \n", + "1 97.3 97.0 101.0 \n", + "2 97.8 97.0 101.0 \n", + "3 98.0 97.0 101.0 \n", + "4 98.2 97.0 101.0 \n", + "... ... ... ... \n", + "1225413 200.0 -50.0 350.0 \n", + "1225414 200.0 -50.0 350.0 \n", + "1225415 200.0 -50.0 350.0 \n", + "1225416 200.0 -50.0 350.0 \n", + "1225417 200.0 -50.0 350.0 \n", "\n", - "[19847 rows x 6 columns]" + "[1189068 rows x 6 columns]" ] }, - "execution_count": 20, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1967,7 +1981,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -1999,39 +2013,39 @@ " \n", " \n", " \n", - " 2\n", + " 0\n", " DZA\n", - " Exports-Commercial services\n", - " 2005\n", - " 2.466000e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2000\n", + " 97.1\n", " \n", " \n", - " 3\n", + " 1\n", " DZA\n", - " Exports-Commercial services\n", - " 2006\n", - " 2.512000e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2001\n", + " 97.3\n", " \n", " \n", - " 4\n", + " 2\n", " DZA\n", - " Exports-Commercial services\n", - " 2007\n", - " 2.786733e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2002\n", + " 97.8\n", " \n", " \n", - " 5\n", + " 3\n", " DZA\n", - " Exports-Commercial services\n", - " 2008\n", - " 3.412421e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2003\n", + " 98.0\n", " \n", " \n", - " 6\n", + " 4\n", " DZA\n", - " Exports-Commercial services\n", - " 2009\n", - " 2.744716e+09\n", + " Access to clean fuels and technologies for coo...\n", + " 2004\n", + " 98.2\n", " \n", " \n", " ...\n", @@ -2041,63 +2055,76 @@ " ...\n", " \n", " \n", - " 20371\n", + " 1225413\n", " YEM\n", - " Suicide\n", - " 2019\n", - " 5.800000e+00\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2016\n", + " 200.0\n", " \n", " \n", - " 20373\n", + " 1225414\n", " YEM\n", - " Alcohol per capita\n", - " 2005\n", - " 3.400000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2017\n", + " 200.0\n", " \n", " \n", - " 20374\n", + " 1225415\n", " YEM\n", - " Alcohol per capita\n", - " 2010\n", - " 1.800000e-01\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2018\n", + " 200.0\n", " \n", " \n", - " 20375\n", + " 1225416\n", " YEM\n", - " Alcohol per capita\n", - " 2015\n", - " 5.500000e-02\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2019\n", + " 200.0\n", " \n", " \n", - " 20376\n", + " 1225417\n", " YEM\n", - " Alcohol per capita\n", - " 2018\n", - " 5.100000e-02\n", + " Young people (ages 15-24) newly infected with HIV\n", + " 2020\n", + " 200.0\n", " \n", " \n", "\n", - "

19847 rows × 4 columns

\n", + "

1189068 rows × 4 columns

\n", "" ], "text/plain": [ - " Country Indicator Year Real value\n", - "2 DZA Exports-Commercial services 2005 2.466000e+09\n", - "3 DZA Exports-Commercial services 2006 2.512000e+09\n", - "4 DZA Exports-Commercial services 2007 2.786733e+09\n", - "5 DZA Exports-Commercial services 2008 3.412421e+09\n", - "6 DZA Exports-Commercial services 2009 2.744716e+09\n", - "... ... ... ... ...\n", - "20371 YEM Suicide 2019 5.800000e+00\n", - "20373 YEM Alcohol per capita 2005 3.400000e-01\n", - "20374 YEM Alcohol per capita 2010 1.800000e-01\n", - "20375 YEM Alcohol per capita 2015 5.500000e-02\n", - "20376 YEM Alcohol per capita 2018 5.100000e-02\n", - "\n", - "[19847 rows x 4 columns]" + " Country Indicator Year \\\n", + "0 DZA Access to clean fuels and technologies for coo... 2000 \n", + "1 DZA Access to clean fuels and technologies for coo... 2001 \n", + "2 DZA Access to clean fuels and technologies for coo... 2002 \n", + "3 DZA Access to clean fuels and technologies for coo... 2003 \n", + "4 DZA Access to clean fuels and technologies for coo... 2004 \n", + "... ... ... ... \n", + "1225413 YEM Young people (ages 15-24) newly infected with HIV 2016 \n", + "1225414 YEM Young people (ages 15-24) newly infected with HIV 2017 \n", + "1225415 YEM Young people (ages 15-24) newly infected with HIV 2018 \n", + "1225416 YEM Young people (ages 15-24) newly infected with HIV 2019 \n", + "1225417 YEM Young people (ages 15-24) newly infected with HIV 2020 \n", + "\n", + " Real value \n", + "0 97.1 \n", + "1 97.3 \n", + "2 97.8 \n", + "3 98.0 \n", + "4 98.2 \n", + "... ... \n", + "1225413 200.0 \n", + "1225414 200.0 \n", + "1225415 200.0 \n", + "1225416 200.0 \n", + "1225417 200.0 \n", + "\n", + "[1189068 rows x 4 columns]" ] }, - "execution_count": 21, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -2109,7 +2136,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -2118,7 +2145,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -2144,25 +2171,25 @@ " Indicator\n", " Country\n", " Year\n", - " Alcohol per capita\n", - " Education GExp\n", - " Employment-agriculture\n", - " Employment-industry\n", - " Employment-services\n", - " Exports-Commercial services\n", - " Exports-G&S\n", - " Fertility rate\n", + " ARI treatment (% of children under 5 taken to a health provider)\n", + " Access to clean fuels and technologies for cooking (% of population)\n", + " Access to clean fuels and technologies for cooking, rural (% of rural population)\n", + " Access to clean fuels and technologies for cooking, urban (% of urban population)\n", + " Access to electricity (% of population)\n", + " Access to electricity, rural (% of rural population)\n", + " Access to electricity, urban (% of urban population)\n", + " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", " ...\n", - " International taxes\n", - " Literacy rate\n", - " Mortality-infants\n", - " Mortality-pollution\n", - " Net migration\n", - " Ninis\n", - " R&D GExp\n", - " Renewable electricity\n", - " Suicide\n", - " Workers high education\n", + " Women who believe a husband is justified in beating his wife (any of five reasons) (%)\n", + " Women who believe a husband is justified in beating his wife when she argues with him (%)\n", + " Women who believe a husband is justified in beating his wife when she burns the food (%)\n", + " Women who believe a husband is justified in beating his wife when she goes out without telling him (%)\n", + " Women who believe a husband is justified in beating his wife when she neglects the children (%)\n", + " Women who believe a husband is justified in beating his wife when she refuses sex with him (%)\n", + " Women who were first married by age 15 (% of women ages 20-24)\n", + " Women who were first married by age 18 (% of women ages 20-24)\n", + " Women's share of population ages 15+ living with HIV (%)\n", + " Young people (ages 15-24) newly infected with HIV\n", " \n", " \n", " \n", @@ -2174,21 +2201,21 @@ " NaN\n", " NaN\n", " NaN\n", + " 100.000000\n", + " 100.000000\n", + " 100.000000\n", " NaN\n", - " NaN\n", - " NaN\n", - " 4.454\n", " ...\n", " NaN\n", " NaN\n", - " 672.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 0.0\n", " NaN\n", " NaN\n", + " 18.8\n", + " 100.0\n", " \n", " \n", " 1\n", @@ -2196,23 +2223,23 @@ " 1991\n", " NaN\n", " NaN\n", - " 8.46\n", - " 33.330002\n", - " 58.200001\n", " NaN\n", " NaN\n", - " 4.253\n", + " 100.000000\n", + " 100.000000\n", + " 100.000000\n", + " NaN\n", " ...\n", " NaN\n", " NaN\n", - " 645.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 0.0\n", " NaN\n", " NaN\n", + " 18.2\n", + " 100.0\n", " \n", " \n", " 2\n", @@ -2220,23 +2247,23 @@ " 1992\n", " NaN\n", " NaN\n", - " 8.37\n", - " 33.360001\n", - " 58.279999\n", " NaN\n", " NaN\n", - " 4.041\n", + " 100.000000\n", + " 100.000000\n", + " 100.000000\n", + " NaN\n", " ...\n", " NaN\n", " NaN\n", - " 618.0\n", " NaN\n", - " 368126.0\n", " NaN\n", " NaN\n", - " 0.0\n", " NaN\n", " NaN\n", + " NaN\n", + " 19.4\n", + " 100.0\n", " \n", " \n", " 3\n", @@ -2244,23 +2271,23 @@ " 1993\n", " NaN\n", " NaN\n", - " 8.24\n", - " 33.470001\n", - " 58.290001\n", " NaN\n", " NaN\n", - " 3.827\n", + " 100.000000\n", + " 100.000000\n", + " 100.000000\n", + " NaN\n", " ...\n", " NaN\n", " NaN\n", - " 592.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 0.0\n", " NaN\n", " NaN\n", + " 20.0\n", + " 100.0\n", " \n", " \n", " 4\n", @@ -2268,23 +2295,23 @@ " 1994\n", " NaN\n", " NaN\n", - " 8.13\n", - " 33.490002\n", - " 58.380001\n", " NaN\n", " NaN\n", - " 3.618\n", + " 100.000000\n", + " 100.000000\n", + " 100.000000\n", + " NaN\n", " ...\n", " NaN\n", " NaN\n", - " 568.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 0.0\n", " NaN\n", " NaN\n", + " 20.0\n", + " 100.0\n", " \n", " \n", " ...\n", @@ -2311,107 +2338,107 @@ " ...\n", " \n", " \n", - " 1504\n", + " 1531\n", " ZAF\n", " 2017\n", " NaN\n", - " 18.719290\n", - " 5.28\n", - " 23.340000\n", - " 71.379997\n", - " 1.614806e+10\n", - " 1.042884e+11\n", - " 2.430\n", + " 85.2\n", + " 64.6\n", + " 94.20\n", + " 84.400002\n", + " 76.738983\n", + " 88.373024\n", + " 69.218491\n", " ...\n", - " 4.993941e+10\n", - " 87.046669\n", - " 32777.0\n", " NaN\n", - " 727026.0\n", - " 31.010000\n", - " 0.83215\n", " NaN\n", - " 25.2\n", - " 83.809998\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 63.3\n", + " 100000.0\n", " \n", " \n", - " 1505\n", + " 1532\n", " ZAF\n", " 2018\n", - " 9.52\n", - " 18.901590\n", - " 5.16\n", - " 23.129999\n", - " 71.709999\n", - " 1.670823e+10\n", - " 1.112854e+11\n", - " 2.405\n", + " NaN\n", + " 85.7\n", + " 65.5\n", + " 94.65\n", + " 84.699997\n", + " 77.168495\n", + " 88.518814\n", + " NaN\n", " ...\n", - " 5.572291e+10\n", " NaN\n", - " 31810.0\n", " NaN\n", " NaN\n", - " 31.559999\n", " NaN\n", " NaN\n", - " 24.1\n", - " 82.879997\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 63.7\n", + " 92000.0\n", " \n", " \n", - " 1506\n", + " 1533\n", " ZAF\n", " 2019\n", " NaN\n", - " 19.596230\n", - " 5.28\n", - " 22.309999\n", - " 72.410004\n", - " 1.554886e+10\n", - " 1.060698e+11\n", - " 2.381\n", + " 86.3\n", + " 65.5\n", + " 94.90\n", + " 85.000000\n", + " 77.611824\n", + " 88.662704\n", + " NaN\n", " ...\n", - " 5.522342e+10\n", - " 95.022972\n", - " 30937.0\n", " NaN\n", " NaN\n", - " 32.459999\n", " NaN\n", " NaN\n", - " 23.5\n", - " 82.019997\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 64.1\n", + " 85000.0\n", " \n", " \n", - " 1507\n", + " 1534\n", " ZAF\n", " 2020\n", " NaN\n", - " 19.527281\n", + " 86.8\n", + " 65.9\n", + " 95.20\n", + " 84.385536\n", + " 75.264854\n", + " 88.806267\n", " NaN\n", - " NaN\n", - " NaN\n", - " 8.404204e+09\n", - " 9.317915e+10\n", - " 2.358\n", " ...\n", " NaN\n", " NaN\n", - " 30153.0\n", " NaN\n", " NaN\n", - " 32.400002\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", + " 64.4\n", + " 79000.0\n", " \n", " \n", - " 1508\n", + " 1535\n", " ZAF\n", " 2021\n", " NaN\n", - " 18.417240\n", + " NaN\n", " NaN\n", " NaN\n", " NaN\n", @@ -2432,120 +2459,302 @@ " \n", " \n", "\n", - "

1509 rows × 24 columns

\n", + "

1536 rows × 1438 columns

\n", "" ], "text/plain": [ - "Indicator Country Year Alcohol per capita Education GExp \\\n", - "0 ARE 1990 NaN NaN \n", - "1 ARE 1991 NaN NaN \n", - "2 ARE 1992 NaN NaN \n", - "3 ARE 1993 NaN NaN \n", - "4 ARE 1994 NaN NaN \n", - "... ... ... ... ... \n", - "1504 ZAF 2017 NaN 18.719290 \n", - "1505 ZAF 2018 9.52 18.901590 \n", - "1506 ZAF 2019 NaN 19.596230 \n", - "1507 ZAF 2020 NaN 19.527281 \n", - "1508 ZAF 2021 NaN 18.417240 \n", - "\n", - "Indicator Employment-agriculture Employment-industry Employment-services \\\n", - "0 NaN NaN NaN \n", - "1 8.46 33.330002 58.200001 \n", - "2 8.37 33.360001 58.279999 \n", - "3 8.24 33.470001 58.290001 \n", - "4 8.13 33.490002 58.380001 \n", - "... ... ... ... \n", - "1504 5.28 23.340000 71.379997 \n", - "1505 5.16 23.129999 71.709999 \n", - "1506 5.28 22.309999 72.410004 \n", - "1507 NaN NaN NaN \n", - "1508 NaN NaN NaN \n", - "\n", - "Indicator Exports-Commercial services Exports-G&S Fertility rate ... \\\n", - "0 NaN NaN 4.454 ... \n", - "1 NaN NaN 4.253 ... \n", - "2 NaN NaN 4.041 ... \n", - "3 NaN NaN 3.827 ... \n", - "4 NaN NaN 3.618 ... \n", - "... ... ... ... ... \n", - "1504 1.614806e+10 1.042884e+11 2.430 ... \n", - "1505 1.670823e+10 1.112854e+11 2.405 ... \n", - "1506 1.554886e+10 1.060698e+11 2.381 ... \n", - "1507 8.404204e+09 9.317915e+10 2.358 ... \n", - "1508 NaN NaN NaN ... \n", - "\n", - "Indicator International taxes Literacy rate Mortality-infants \\\n", - "0 NaN NaN 672.0 \n", - "1 NaN NaN 645.0 \n", - "2 NaN NaN 618.0 \n", - "3 NaN NaN 592.0 \n", - "4 NaN NaN 568.0 \n", - "... ... ... ... \n", - "1504 4.993941e+10 87.046669 32777.0 \n", - "1505 5.572291e+10 NaN 31810.0 \n", - "1506 5.522342e+10 95.022972 30937.0 \n", - "1507 NaN NaN 30153.0 \n", - "1508 NaN NaN NaN \n", - "\n", - "Indicator Mortality-pollution Net migration Ninis R&D GExp \\\n", - "0 NaN NaN NaN NaN \n", - "1 NaN NaN NaN NaN \n", - "2 NaN 368126.0 NaN NaN \n", - "3 NaN NaN NaN NaN \n", - "4 NaN NaN NaN NaN \n", - "... ... ... ... ... \n", - "1504 NaN 727026.0 31.010000 0.83215 \n", - "1505 NaN NaN 31.559999 NaN \n", - "1506 NaN NaN 32.459999 NaN \n", - "1507 NaN NaN 32.400002 NaN \n", - "1508 NaN NaN NaN NaN \n", - "\n", - "Indicator Renewable electricity Suicide Workers high education \n", - "0 0.0 NaN NaN \n", - "1 0.0 NaN NaN \n", - "2 0.0 NaN NaN \n", - "3 0.0 NaN NaN \n", - "4 0.0 NaN NaN \n", - "... ... ... ... \n", - "1504 NaN 25.2 83.809998 \n", - "1505 NaN 24.1 82.879997 \n", - "1506 NaN 23.5 82.019997 \n", - "1507 NaN NaN NaN \n", - "1508 NaN NaN NaN \n", - "\n", - "[1509 rows x 24 columns]" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "SilverDataFrame=df_limpio.set_index([\"Country\", \"Year\"]).pivot(columns=\"Indicator\", values=\"Real value\").reset_index()\n", - "SilverDataFrame" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "On the other hand, another big stone of normalizations is to nan/null values, which we have in all variables." + "Indicator Country Year \\\n", + "0 ARE 1990 \n", + "1 ARE 1991 \n", + "2 ARE 1992 \n", + "3 ARE 1993 \n", + "4 ARE 1994 \n", + "... ... ... \n", + "1531 ZAF 2017 \n", + "1532 ZAF 2018 \n", + "1533 ZAF 2019 \n", + "1534 ZAF 2020 \n", + "1535 ZAF 2021 \n", + "\n", + "Indicator ARI treatment (% of children under 5 taken to a health provider) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 85.2 \n", + "1532 85.7 \n", + "1533 86.3 \n", + "1534 86.8 \n", + "1535 NaN \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 64.6 \n", + "1532 65.5 \n", + "1533 65.5 \n", + "1534 65.9 \n", + "1535 NaN \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 94.20 \n", + "1532 94.65 \n", + "1533 94.90 \n", + "1534 95.20 \n", + "1535 NaN \n", + "\n", + "Indicator Access to electricity (% of population) \\\n", + "0 100.000000 \n", + "1 100.000000 \n", + "2 100.000000 \n", + "3 100.000000 \n", + "4 100.000000 \n", + "... ... \n", + "1531 84.400002 \n", + "1532 84.699997 \n", + "1533 85.000000 \n", + "1534 84.385536 \n", + "1535 NaN \n", + "\n", + "Indicator Access to electricity, rural (% of rural population) \\\n", + "0 100.000000 \n", + "1 100.000000 \n", + "2 100.000000 \n", + "3 100.000000 \n", + "4 100.000000 \n", + "... ... \n", + "1531 76.738983 \n", + "1532 77.168495 \n", + "1533 77.611824 \n", + "1534 75.264854 \n", + "1535 NaN \n", + "\n", + "Indicator Access to electricity, urban (% of urban population) \\\n", + "0 100.000000 \n", + "1 100.000000 \n", + "2 100.000000 \n", + "3 100.000000 \n", + "4 100.000000 \n", + "... ... \n", + "1531 88.373024 \n", + "1532 88.518814 \n", + "1533 88.662704 \n", + "1534 88.806267 \n", + "1535 NaN \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 69.218491 \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator ... \\\n", + "0 ... \n", + "1 ... \n", + "2 ... \n", + "3 ... \n", + "4 ... \n", + "... ... \n", + "1531 ... \n", + "1532 ... \n", + "1533 ... \n", + "1534 ... \n", + "1535 ... \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife (any of five reasons) (%) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she argues with him (%) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she burns the food (%) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she goes out without telling him (%) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she neglects the children (%) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she refuses sex with him (%) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women who were first married by age 15 (% of women ages 20-24) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women who were first married by age 18 (% of women ages 20-24) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women's share of population ages 15+ living with HIV (%) \\\n", + "0 18.8 \n", + "1 18.2 \n", + "2 19.4 \n", + "3 20.0 \n", + "4 20.0 \n", + "... ... \n", + "1531 63.3 \n", + "1532 63.7 \n", + "1533 64.1 \n", + "1534 64.4 \n", + "1535 NaN \n", + "\n", + "Indicator Young people (ages 15-24) newly infected with HIV \n", + "0 100.0 \n", + "1 100.0 \n", + "2 100.0 \n", + "3 100.0 \n", + "4 100.0 \n", + "... ... \n", + "1531 100000.0 \n", + "1532 92000.0 \n", + "1533 85000.0 \n", + "1534 79000.0 \n", + "1535 NaN \n", + "\n", + "[1536 rows x 1438 columns]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "SilverDataFrame=df_limpio.set_index([\"Country\", \"Year\"]).pivot(columns=\"Indicator\", values=\"Real value\").reset_index()\n", + "SilverDataFrame" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On the other hand, another big stone of normalizations is to nan/null values, which we have in all variables." ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "13351" + "1016628" ] }, - "execution_count": 23, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -2570,7 +2779,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -2582,8 +2791,7 @@ "asia_list=['BGD','IND','VNM','THA','IDN','PHL','KOR']\n", "latam_list=['MEX','BRA','ARG','PER','VEN','COL','CHL','PAN','CRI']\n", "two_list=['USA','CHN']\n", - "country_list=europe_list+persian_list+naf_list+saf_list+asia_list+latam_list+two_list\n", - "col_to_scale=['Gender equality','Exports-Commercial services','Renewable electricity','Employment-agriculture','Employment-industry','Employment-services','Exports-G&S','Fertility rate','Foreign investment','GDP','Education GExp','Workers high education','Literacy rate','Mortality-pollution','Net migration','Mortality-infants','Health services use','R&D GExp','Ninis','Suicide','International taxes','Alcohol per capita']\n" + "country_list=europe_list+persian_list+naf_list+saf_list+asia_list+latam_list+two_list\n" ] }, { @@ -2595,16 +2803,16 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "8519" + "685787" ] }, - "execution_count": 25, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -2630,16 +2838,16 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "4500" + "498648" ] }, - "execution_count": 26, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -2665,16 +2873,16 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "8519" + "685787" ] }, - "execution_count": 27, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -2700,16 +2908,16 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "8519" + "685787" ] }, - "execution_count": 28, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -2730,16 +2938,16 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "2447" + "310048" ] }, - "execution_count": 29, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -2767,16 +2975,16 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "2447" + "310048" ] }, - "execution_count": 30, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -2820,7 +3028,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -2846,147 +3054,147 @@ " Indicator\n", " Country\n", " Year\n", - " Alcohol per capita\n", - " Education GExp\n", - " Employment-agriculture\n", - " Employment-industry\n", - " Employment-services\n", - " Exports-Commercial services\n", - " Exports-G&S\n", - " Fertility rate\n", + " ARI treatment (% of children under 5 taken to a health provider)\n", + " Access to clean fuels and technologies for cooking (% of population)\n", + " Access to clean fuels and technologies for cooking, rural (% of rural population)\n", + " Access to clean fuels and technologies for cooking, urban (% of urban population)\n", + " Access to electricity (% of population)\n", + " Access to electricity, rural (% of rural population)\n", + " Access to electricity, urban (% of urban population)\n", + " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", " ...\n", - " International taxes\n", - " Literacy rate\n", - " Mortality-infants\n", - " Mortality-pollution\n", - " Net migration\n", - " Ninis\n", - " R&D GExp\n", - " Renewable electricity\n", - " Suicide\n", - " Workers high education\n", + " Women who believe a husband is justified in beating his wife (any of five reasons) (%)\n", + " Women who believe a husband is justified in beating his wife when she argues with him (%)\n", + " Women who believe a husband is justified in beating his wife when she burns the food (%)\n", + " Women who believe a husband is justified in beating his wife when she goes out without telling him (%)\n", + " Women who believe a husband is justified in beating his wife when she neglects the children (%)\n", + " Women who believe a husband is justified in beating his wife when she refuses sex with him (%)\n", + " Women who were first married by age 15 (% of women ages 20-24)\n", + " Women who were first married by age 18 (% of women ages 20-24)\n", + " Women's share of population ages 15+ living with HIV (%)\n", + " Young people (ages 15-24) newly infected with HIV\n", " \n", " \n", " \n", " \n", - " 347\n", + " 352\n", " DEU\n", " 1990\n", - " 1.00000\n", - " 0.443529\n", - " 1.000000\n", - " 1.000000\n", - " 0.000000\n", - " 0.002386\n", - " 0.000000\n", - " 0.636364\n", + " NaN\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 98.133621\n", " ...\n", " NaN\n", " NaN\n", - " 1.000000\n", " NaN\n", - " 0.966124\n", - " 0.77758\n", - " 0.000000\n", - " 0.000000\n", - " 0.956522\n", - " 1.0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 19.1\n", + " 500.0\n", " \n", " \n", - " 348\n", + " 353\n", " DEU\n", " 1991\n", - " 1.00000\n", - " 0.443529\n", - " 1.000000\n", - " 1.000000\n", - " 0.000000\n", - " 0.000000\n", - " 0.025535\n", - " 0.272727\n", + " NaN\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 98.133621\n", " ...\n", " NaN\n", " NaN\n", - " 1.000000\n", " NaN\n", - " 0.966124\n", - " 0.77758\n", - " 0.000000\n", - " 0.002525\n", - " 0.956522\n", - " 1.0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 19.1\n", + " 500.0\n", " \n", " \n", - " 349\n", + " 354\n", " DEU\n", " 1992\n", - " 1.00000\n", - " 0.443529\n", - " 0.964758\n", - " 0.966793\n", - " 0.034321\n", - " 0.018415\n", - " 0.046400\n", - " 0.151515\n", + " NaN\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 98.133621\n", " ...\n", " NaN\n", " NaN\n", - " 0.875324\n", " NaN\n", - " 0.966124\n", - " 0.77758\n", - " 0.000000\n", - " 0.004025\n", - " 0.956522\n", - " 1.0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 19.1\n", + " 500.0\n", " \n", " \n", - " 350\n", + " 355\n", " DEU\n", " 1993\n", - " 1.00000\n", - " 0.443529\n", - " 0.942731\n", - " 0.907021\n", - " 0.088143\n", - " 0.012182\n", - " 0.010957\n", - " 0.121212\n", + " NaN\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 98.133621\n", " ...\n", " NaN\n", " NaN\n", - " 0.765220\n", " NaN\n", - " 0.823187\n", - " 0.77758\n", - " 0.000000\n", - " 0.005848\n", - " 0.956522\n", - " 1.0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 19.1\n", + " 500.0\n", " \n", " \n", - " 351\n", + " 356\n", " DEU\n", " 1994\n", - " 1.00000\n", - " 0.380220\n", - " 0.903084\n", - " 0.876660\n", - " 0.119345\n", - " 0.018513\n", - " 0.041261\n", - " 0.000000\n", + " NaN\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 98.133621\n", " ...\n", " NaN\n", " NaN\n", - " 0.670984\n", " NaN\n", - " 0.680250\n", - " 0.77758\n", - " 0.000000\n", - " 0.011012\n", - " 0.956522\n", - " 1.0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 19.1\n", + " 500.0\n", " \n", " \n", " ...\n", @@ -3013,213 +3221,395 @@ " ...\n", " \n", " \n", - " 247\n", - " CHN\n", - " 2016\n", - " 0.99002\n", - " 0.246406\n", - " 0.068956\n", - " 0.831461\n", - " 0.867725\n", - " 0.849888\n", - " 0.804316\n", - " 0.588235\n", - " ...\n", - " 0.790308\n", - " 0.977482\n", - " 0.042573\n", - " NaN\n", - " 0.264203\n", - " NaN\n", - " 0.974482\n", - " 1.000000\n", - " 0.016129\n", - " NaN\n", - " \n", - " \n", - " 248\n", + " 251\n", " CHN\n", " 2017\n", - " 0.98004\n", - " 0.212024\n", - " 0.048007\n", - " 0.753933\n", - " 0.917460\n", - " 0.867490\n", - " 0.888169\n", - " 0.647059\n", + " NaN\n", + " 73.2\n", + " 55.2\n", + " 86.2\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 80.229118\n", " ...\n", - " 1.000000\n", - " 0.988741\n", - " 0.030745\n", " NaN\n", - " 0.243061\n", " NaN\n", - " 0.984436\n", - " 1.000000\n", - " 0.000000\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", " \n", " \n", - " 249\n", + " 252\n", " CHN\n", " 2018\n", - " 0.97006\n", - " 0.000000\n", - " 0.021530\n", - " 0.777528\n", - " 0.942152\n", - " 0.953748\n", - " 0.974699\n", - " 0.698529\n", - " ...\n", - " 0.920304\n", - " 1.000000\n", - " 0.019650\n", " NaN\n", - " 0.243061\n", + " 75.6\n", + " 59.0\n", + " 87.4\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 80.229118\n", + " ...\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", - " 1.000000\n", - " 1.000000\n", - " 0.000000\n", " NaN\n", " \n", " \n", - " 250\n", + " 253\n", " CHN\n", " 2019\n", - " 0.97006\n", - " 0.000000\n", - " 0.000000\n", - " 0.676405\n", - " 1.000000\n", - " 1.000000\n", - " 0.964730\n", - " 0.742647\n", + " NaN\n", + " 77.6\n", + " 61.9\n", + " 88.4\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 80.229118\n", " ...\n", - " 0.920304\n", - " 1.000000\n", - " 0.009383\n", " NaN\n", - " 0.243061\n", " NaN\n", - " 1.000000\n", - " 1.000000\n", - " 0.000000\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", " \n", " \n", - " 251\n", + " 254\n", " CHN\n", " 2020\n", - " 0.97006\n", - " 0.000000\n", - " 0.000000\n", - " 0.676405\n", - " 1.000000\n", - " 0.957514\n", - " 1.000000\n", - " 0.772059\n", + " NaN\n", + " 79.4\n", + " 65.2\n", + " 89.4\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 80.229118\n", " ...\n", - " 0.920304\n", - " 1.000000\n", - " 0.000000\n", " NaN\n", - " 0.243061\n", " NaN\n", - " 1.000000\n", - " 1.000000\n", - " 0.000000\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " \n", + " \n", + " 255\n", + " CHN\n", + " 2021\n", + " NaN\n", + " 79.4\n", + " 65.2\n", + " 89.4\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 80.229118\n", + " ...\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", " \n", " \n", "\n", - "

1509 rows × 24 columns

\n", + "

1536 rows × 1438 columns

\n", "" ], "text/plain": [ - "Indicator Country Year Alcohol per capita Education GExp \\\n", - "347 DEU 1990 1.00000 0.443529 \n", - "348 DEU 1991 1.00000 0.443529 \n", - "349 DEU 1992 1.00000 0.443529 \n", - "350 DEU 1993 1.00000 0.443529 \n", - "351 DEU 1994 1.00000 0.380220 \n", - ".. ... ... ... ... \n", - "247 CHN 2016 0.99002 0.246406 \n", - "248 CHN 2017 0.98004 0.212024 \n", - "249 CHN 2018 0.97006 0.000000 \n", - "250 CHN 2019 0.97006 0.000000 \n", - "251 CHN 2020 0.97006 0.000000 \n", - "\n", - "Indicator Employment-agriculture Employment-industry Employment-services \\\n", - "347 1.000000 1.000000 0.000000 \n", - "348 1.000000 1.000000 0.000000 \n", - "349 0.964758 0.966793 0.034321 \n", - "350 0.942731 0.907021 0.088143 \n", - "351 0.903084 0.876660 0.119345 \n", - ".. ... ... ... \n", - "247 0.068956 0.831461 0.867725 \n", - "248 0.048007 0.753933 0.917460 \n", - "249 0.021530 0.777528 0.942152 \n", - "250 0.000000 0.676405 1.000000 \n", - "251 0.000000 0.676405 1.000000 \n", - "\n", - "Indicator Exports-Commercial services Exports-G&S Fertility rate ... \\\n", - "347 0.002386 0.000000 0.636364 ... \n", - "348 0.000000 0.025535 0.272727 ... \n", - "349 0.018415 0.046400 0.151515 ... \n", - "350 0.012182 0.010957 0.121212 ... \n", - "351 0.018513 0.041261 0.000000 ... \n", - ".. ... ... ... ... \n", - "247 0.849888 0.804316 0.588235 ... \n", - "248 0.867490 0.888169 0.647059 ... \n", - "249 0.953748 0.974699 0.698529 ... \n", - "250 1.000000 0.964730 0.742647 ... \n", - "251 0.957514 1.000000 0.772059 ... \n", - "\n", - "Indicator International taxes Literacy rate Mortality-infants \\\n", - "347 NaN NaN 1.000000 \n", - "348 NaN NaN 1.000000 \n", - "349 NaN NaN 0.875324 \n", - "350 NaN NaN 0.765220 \n", - "351 NaN NaN 0.670984 \n", - ".. ... ... ... \n", - "247 0.790308 0.977482 0.042573 \n", - "248 1.000000 0.988741 0.030745 \n", - "249 0.920304 1.000000 0.019650 \n", - "250 0.920304 1.000000 0.009383 \n", - "251 0.920304 1.000000 0.000000 \n", - "\n", - "Indicator Mortality-pollution Net migration Ninis R&D GExp \\\n", - "347 NaN 0.966124 0.77758 0.000000 \n", - "348 NaN 0.966124 0.77758 0.000000 \n", - "349 NaN 0.966124 0.77758 0.000000 \n", - "350 NaN 0.823187 0.77758 0.000000 \n", - "351 NaN 0.680250 0.77758 0.000000 \n", - ".. ... ... ... ... \n", - "247 NaN 0.264203 NaN 0.974482 \n", - "248 NaN 0.243061 NaN 0.984436 \n", - "249 NaN 0.243061 NaN 1.000000 \n", - "250 NaN 0.243061 NaN 1.000000 \n", - "251 NaN 0.243061 NaN 1.000000 \n", - "\n", - "Indicator Renewable electricity Suicide Workers high education \n", - "347 0.000000 0.956522 1.0 \n", - "348 0.002525 0.956522 1.0 \n", - "349 0.004025 0.956522 1.0 \n", - "350 0.005848 0.956522 1.0 \n", - "351 0.011012 0.956522 1.0 \n", - ".. ... ... ... \n", - "247 1.000000 0.016129 NaN \n", - "248 1.000000 0.000000 NaN \n", - "249 1.000000 0.000000 NaN \n", - "250 1.000000 0.000000 NaN \n", - "251 1.000000 0.000000 NaN \n", - "\n", - "[1509 rows x 24 columns]" + "Indicator Country Year \\\n", + "352 DEU 1990 \n", + "353 DEU 1991 \n", + "354 DEU 1992 \n", + "355 DEU 1993 \n", + "356 DEU 1994 \n", + ".. ... ... \n", + "251 CHN 2017 \n", + "252 CHN 2018 \n", + "253 CHN 2019 \n", + "254 CHN 2020 \n", + "255 CHN 2021 \n", + "\n", + "Indicator ARI treatment (% of children under 5 taken to a health provider) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 73.2 \n", + "252 75.6 \n", + "253 77.6 \n", + "254 79.4 \n", + "255 79.4 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 55.2 \n", + "252 59.0 \n", + "253 61.9 \n", + "254 65.2 \n", + "255 65.2 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 86.2 \n", + "252 87.4 \n", + "253 88.4 \n", + "254 89.4 \n", + "255 89.4 \n", + "\n", + "Indicator Access to electricity (% of population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 100.0 \n", + "252 100.0 \n", + "253 100.0 \n", + "254 100.0 \n", + "255 100.0 \n", + "\n", + "Indicator Access to electricity, rural (% of rural population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 100.0 \n", + "252 100.0 \n", + "253 100.0 \n", + "254 100.0 \n", + "255 100.0 \n", + "\n", + "Indicator Access to electricity, urban (% of urban population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 100.0 \n", + "252 100.0 \n", + "253 100.0 \n", + "254 100.0 \n", + "255 100.0 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "352 98.133621 \n", + "353 98.133621 \n", + "354 98.133621 \n", + "355 98.133621 \n", + "356 98.133621 \n", + ".. ... \n", + "251 80.229118 \n", + "252 80.229118 \n", + "253 80.229118 \n", + "254 80.229118 \n", + "255 80.229118 \n", + "\n", + "Indicator ... \\\n", + "352 ... \n", + "353 ... \n", + "354 ... \n", + "355 ... \n", + "356 ... \n", + ".. ... \n", + "251 ... \n", + "252 ... \n", + "253 ... \n", + "254 ... \n", + "255 ... \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife (any of five reasons) (%) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she argues with him (%) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she burns the food (%) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she goes out without telling him (%) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she neglects the children (%) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she refuses sex with him (%) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women who were first married by age 15 (% of women ages 20-24) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women who were first married by age 18 (% of women ages 20-24) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women's share of population ages 15+ living with HIV (%) \\\n", + "352 19.1 \n", + "353 19.1 \n", + "354 19.1 \n", + "355 19.1 \n", + "356 19.1 \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Young people (ages 15-24) newly infected with HIV \n", + "352 500.0 \n", + "353 500.0 \n", + "354 500.0 \n", + "355 500.0 \n", + "356 500.0 \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "[1536 rows x 1438 columns]" ] }, - "execution_count": 31, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -3244,20 +3634,396 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now, we will drop the columns which have over 1000 missing values, because the absence of data creates an unreliable source." + "Now, we will drop the columns which have over 308 missing values (20%), because the absence of data creates an unreliable source." ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 36, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Gender equality\n", - "Mortality-pollution\n" + "Adults (ages 15+) and children (ages 0-14) newly infected with HIV\n", + "Adults (ages 15-49) newly infected with HIV\n", + "Antiretroviral therapy coverage (% of people living with HIV)\n", + "Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV)\n", + "ARI treatment (% of children under 5 taken to a health provider)\n", + "Average transaction cost of sending remittances to a specific country (%)\n", + "Average working hours of children, study and work, ages 7-14 (hours per week)\n", + "Average working hours of children, study and work, female, ages 7-14 (hours per week)\n", + "Average working hours of children, study and work, male, ages 7-14 (hours per week)\n", + "Average working hours of children, working only, ages 7-14 (hours per week)\n", + "Average working hours of children, working only, female, ages 7-14 (hours per week)\n", + "Average working hours of children, working only, male, ages 7-14 (hours per week)\n", + "Bank capital to assets ratio (%)\n", + "Bank liquid reserves to bank assets ratio (%)\n", + "Bank nonperforming loans to total gross loans (%)\n", + "Battle-related deaths (number of people)\n", + "Borrowers from commercial banks (per 1,000 adults)\n", + "Bribery incidence (% of firms experiencing at least one bribe payment request)\n", + "Changes in inventories (constant LCU)\n", + "Children (0-14) living with HIV\n", + "Children (ages 0-14) newly infected with HIV\n", + "Children in employment, female (% of female children ages 7-14)\n", + "Children in employment, male (% of male children ages 7-14)\n", + "Children in employment, study and work (% of children in employment, ages 7-14)\n", + "Children in employment, study and work, female (% of female children in employment, ages 7-14)\n", + "Children in employment, study and work, male (% of male children in employment, ages 7-14)\n", + "Children in employment, total (% of children ages 7-14)\n", + "Children in employment, unpaid family workers (% of children in employment, ages 7-14)\n", + "Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14)\n", + "Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14)\n", + "Children in employment, wage workers (% of children in employment, ages 7-14)\n", + "Children in employment, wage workers, female (% of female children in employment, ages 7-14)\n", + "Children in employment, wage workers, male (% of male children in employment, ages 7-14)\n", + "Children in employment, work only (% of children in employment, ages 7-14)\n", + "Children in employment, work only, female (% of female children in employment, ages 7-14)\n", + "Children in employment, work only, male (% of male children in employment, ages 7-14)\n", + "Claims on other sectors of the domestic economy (annual growth as % of broad money)\n", + "Commercial banks and other lending (PPG + PNG) (NFL, current US$)\n", + "Completeness of birth registration, rural (%)\n", + "Completeness of birth registration, urban (%)\n", + "Consumption of iodized salt (% of households)\n", + "Debt service (PPG and IMF only, % of exports of goods, services and primary income)\n", + "Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$)\n", + "Debt service on external debt, total (TDS, current US$)\n", + "Demand for family planning satisfied by modern methods (% of married women with demand for family planning)\n", + "Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding)\n", + "Diarrhea treatment (% of children under 5 who received ORS packet)\n", + "Disaster risk reduction progress score (1-5 scale; 5=best)\n", + "Exclusive breastfeeding (% of children under 6 months)\n", + "External debt stocks (% of GNI)\n", + "External debt stocks, long-term (DOD, current US$)\n", + "External debt stocks, private nonguaranteed (PNG) (DOD, current US$)\n", + "External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$)\n", + "External debt stocks, short-term (DOD, current US$)\n", + "External debt stocks, total (DOD, current US$)\n", + "Financial intermediary services indirectly Measured (FISIM) (constant LCU)\n", + "Financial intermediary services indirectly Measured (FISIM) (current LCU)\n", + "Firms competing against unregistered firms (% of firms)\n", + "Firms formally registered when operations started (% of firms)\n", + "Firms that do not report all sales for tax purposes (% of firms)\n", + "Gross fixed capital formation, private sector (% of GDP)\n", + "Gross fixed capital formation, private sector (current LCU)\n", + "IBRD loans and IDA credits (DOD, current US$)\n", + "IFC, private nonguaranteed (NFL, current US$)\n", + "IMF repurchases and charges (TDS, current US$)\n", + "Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24)\n", + "Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49)\n", + "Incidence of HIV, all (per 1,000 uninfected population)\n", + "Incidence of malaria (per 1,000 population at risk)\n", + "Informal payments to public officials (% of firms)\n", + "Intentional homicides, female (per 100,000 female)\n", + "Intentional homicides, male (per 100,000 male)\n", + "Interest rate spread (lending rate minus deposit rate, %)\n", + "Internally displaced persons, new displacement associated with conflict and violence (number of cases)\n", + "Internally displaced persons, total displaced by conflict and violence (number of people)\n", + "International tourism, number of departures\n", + "Investment in energy with private participation (current US$)\n", + "Investment in ICT with private participation (current US$)\n", + "Investment in transport with private participation (current US$)\n", + "Investment in water and sanitation with private participation (current US$)\n", + "Lending interest rate (%)\n", + "Merchandise exports to low- and middle-income economies within region (% of total merchandise exports)\n", + "Merchandise imports from low- and middle-income economies within region (% of total merchandise imports)\n", + "Methodology assessment of statistical capacity (scale 0 - 100)\n", + "Multilateral debt service (% of public and publicly guaranteed debt service)\n", + "Multilateral debt service (TDS, current US$)\n", + "Net bilateral aid flows from DAC donors, Australia (current US$)\n", + "Net bilateral aid flows from DAC donors, Belgium (current US$)\n", + "Net bilateral aid flows from DAC donors, Canada (current US$)\n", + "Net bilateral aid flows from DAC donors, Czech Republic (current US$)\n", + "Net bilateral aid flows from DAC donors, Denmark (current US$)\n", + "Net bilateral aid flows from DAC donors, Finland (current US$)\n", + "Net bilateral aid flows from DAC donors, Greece (current US$)\n", + "Net bilateral aid flows from DAC donors, Hungary (current US$)\n", + "Net bilateral aid flows from DAC donors, Ireland (current US$)\n", + "Net bilateral aid flows from DAC donors, Italy (current US$)\n", + "Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)\n", + "Net bilateral aid flows from DAC donors, Luxembourg (current US$)\n", + "Net bilateral aid flows from DAC donors, Netherlands (current US$)\n", + "Net bilateral aid flows from DAC donors, New Zealand (current US$)\n", + "Net bilateral aid flows from DAC donors, Norway (current US$)\n", + "Net bilateral aid flows from DAC donors, Poland (current US$)\n", + "Net bilateral aid flows from DAC donors, Portugal (current US$)\n", + "Net bilateral aid flows from DAC donors, Slovenia (current US$)\n", + "Net bilateral aid flows from DAC donors, Spain (current US$)\n", + "Net bilateral aid flows from DAC donors, Sweden (current US$)\n", + "Net bilateral aid flows from DAC donors, Switzerland (current US$)\n", + "Net financial flows, bilateral (NFL, current US$)\n", + "Net financial flows, IBRD (NFL, current US$)\n", + "Net financial flows, IMF nonconcessional (NFL, current US$)\n", + "Net financial flows, multilateral (NFL, current US$)\n", + "Net financial flows, others (NFL, current US$)\n", + "Net financial flows, RDB concessional (NFL, current US$)\n", + "Net financial flows, RDB nonconcessional (NFL, current US$)\n", + "Net flows on external debt, private nonguaranteed (PNG) (NFL, current US$)\n", + "Net intake rate in grade 1 (% of official school-age population)\n", + "Net intake rate in grade 1, female (% of official school-age population)\n", + "Net intake rate in grade 1, male (% of official school-age population)\n", + "Net ODA received (% of GNI)\n", + "Net ODA received (% of gross capital formation)\n", + "Net ODA received (% of imports of goods, services and primary income)\n", + "Net ODA received per capita (current US$)\n", + "Net official development assistance received (constant 2018 US$)\n", + "Net official development assistance received (current US$)\n", + "Net official flows from UN agencies, FAO (current US$)\n", + "Net official flows from UN agencies, IAEA (current US$)\n", + "Net official flows from UN agencies, IFAD (current US$)\n", + "Net official flows from UN agencies, ILO (current US$)\n", + "Net official flows from UN agencies, UNAIDS (current US$)\n", + "Net official flows from UN agencies, UNDP (current US$)\n", + "Net official flows from UN agencies, UNFPA (current US$)\n", + "Net official flows from UN agencies, UNHCR (current US$)\n", + "Net official flows from UN agencies, UNICEF (current US$)\n", + "Net official flows from UN agencies, WFP (current US$)\n", + "Net official flows from UN agencies, WHO (current US$)\n", + "Net secondary income (Net current transfers from abroad) (constant LCU)\n", + "Newborns protected against tetanus (%)\n", + "People using safely managed drinking water services (% of population)\n", + "People using safely managed drinking water services, rural (% of rural population)\n", + "People using safely managed drinking water services, urban (% of urban population)\n", + "People using safely managed sanitation services, rural (% of rural population)\n", + "People using safely managed sanitation services, urban (% of urban population)\n", + "People with basic handwashing facilities including soap and water (% of population)\n", + "People with basic handwashing facilities including soap and water, rural (% of rural population)\n", + "People with basic handwashing facilities including soap and water, urban (% of urban population)\n", + "Periodicity and timeliness assessment of statistical capacity (scale 0 - 100)\n", + "PNG, commercial banks and other creditors (NFL, current US$)\n", + "Portfolio investment, bonds (PPG + PNG) (NFL, current US$)\n", + "Power outages in firms in a typical month (number)\n", + "PPG, bonds (NFL, current US$)\n", + "PPG, commercial banks (NFL, current US$)\n", + "PPG, IBRD (DOD, current US$)\n", + "PPG, official creditors (NFL, current US$)\n", + "PPG, other private creditors (NFL, current US$)\n", + "PPG, private creditors (NFL, current US$)\n", + "Present value of external debt (% of exports of goods, services and primary income)\n", + "Present value of external debt (% of GNI)\n", + "Present value of external debt (current US$)\n", + "Prevalence of HIV, female (% ages 15-24)\n", + "Prevalence of HIV, male (% ages 15-24)\n", + "Prevalence of HIV, total (% of population ages 15-49)\n", + "Prevalence of moderate or severe food insecurity in the population (%)\n", + "Prevalence of overweight, weight for height, female (% of children under 5)\n", + "Prevalence of overweight, weight for height, male (% of children under 5)\n", + "Prevalence of severe food insecurity in the population (%)\n", + "Prevalence of severe wasting, weight for height (% of children under 5)\n", + "Prevalence of severe wasting, weight for height, female (% of children under 5)\n", + "Prevalence of severe wasting, weight for height, male (% of children under 5)\n", + "Prevalence of stunting, height for age, female (% of children under 5)\n", + "Prevalence of stunting, height for age, male (% of children under 5)\n", + "Prevalence of underweight, weight for age, female (% of children under 5)\n", + "Prevalence of underweight, weight for age, male (% of children under 5)\n", + "Prevalence of wasting, weight for height, female (% of children under 5)\n", + "Prevalence of wasting, weight for height, male (% of children under 5)\n", + "Primary government expenditures as a proportion of original approved budget (%)\n", + "Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)\n", + "Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)\n", + "Public and publicly guaranteed debt service (% of exports of goods, services and primary income)\n", + "Public and publicly guaranteed debt service (% of GNI)\n", + "Public private partnerships investment in energy (current US$)\n", + "Public private partnerships investment in transport (current US$)\n", + "Public private partnerships investment in water and sanitation (current US$)\n", + "Real effective exchange rate index (2010 = 100)\n", + "Real interest rate (%)\n", + "Risk premium on lending (lending rate minus treasury bill rate, %)\n", + "Short-term debt (% of exports of goods, services and primary income)\n", + "Short-term debt (% of total external debt)\n", + "Short-term debt (% of total reserves)\n", + "Source data assessment of statistical capacity (scale 0 - 100)\n", + "Statistical Capacity Score (Overall Average) (scale 0 - 100)\n", + "Technicians in R&D (per million people)\n", + "Time required to obtain an operating license (days)\n", + "Total debt service (% of exports of goods, services and primary income)\n", + "Total debt service (% of GNI)\n", + "Total reserves (% of total external debt)\n", + "Trained teachers in primary education (% of total teachers)\n", + "Trained teachers in primary education, female (% of female teachers)\n", + "Trained teachers in primary education, male (% of male teachers)\n", + "Unmet need for contraception (% of married women ages 15-49)\n", + "Use of IMF credit (DOD, current US$)\n", + "Women who believe a husband is justified in beating his wife (any of five reasons) (%)\n", + "Women who were first married by age 15 (% of women ages 20-24)\n", + "Women who were first married by age 18 (% of women ages 20-24)\n", + "Women's share of population ages 15+ living with HIV (%)\n", + "Young people (ages 15-24) newly infected with HIV\n", + "Adequacy of social insurance programs (% of total welfare of beneficiary households)\n", + "Adequacy of social protection and labor programs (% of total welfare of beneficiary households)\n", + "Adequacy of social safety net programs (% of total welfare of beneficiary households)\n", + "Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households)\n", + "Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%)\n", + "Annualized average growth rate in per capita real survey mean consumption or income, total population (%)\n", + "Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits)\n", + "Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits)\n", + "Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits)\n", + "Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)\n", + "Children in employment, self-employed (% of children in employment, ages 7-14)\n", + "Children in employment, self-employed, female (% of female children in employment, ages 7-14)\n", + "Children in employment, self-employed, male (% of male children in employment, ages 7-14)\n", + "Compensation of employees (% of expense)\n", + "Compensation of employees (current LCU)\n", + "Completeness of death registration with cause-of-death information (%)\n", + "Coverage of social insurance programs (% of population)\n", + "Coverage of social insurance programs in 2nd quintile (% of population)\n", + "Coverage of social insurance programs in 3rd quintile (% of population)\n", + "Coverage of social insurance programs in 4th quintile (% of population)\n", + "Coverage of social insurance programs in poorest quintile (% of population)\n", + "Coverage of social insurance programs in richest quintile (% of population)\n", + "Coverage of social protection and labor programs (% of population)\n", + "Coverage of social safety net programs (% of population)\n", + "Coverage of social safety net programs in 2nd quintile (% of population)\n", + "Coverage of social safety net programs in 3rd quintile (% of population)\n", + "Coverage of social safety net programs in 4th quintile (% of population)\n", + "Coverage of social safety net programs in poorest quintile (% of population)\n", + "Coverage of social safety net programs in richest quintile (% of population)\n", + "Coverage of unemployment benefits and ALMP (% of population)\n", + "Coverage of unemployment benefits and ALMP in 2nd quintile (% of population)\n", + "Coverage of unemployment benefits and ALMP in 3rd quintile (% of population)\n", + "Coverage of unemployment benefits and ALMP in 4th quintile (% of population)\n", + "Coverage of unemployment benefits and ALMP in poorest quintile (% of population)\n", + "Coverage of unemployment benefits and ALMP in richest quintile (% of population)\n", + "Current education expenditure, tertiary (% of total expenditure in tertiary public institutions)\n", + "Depositors with commercial banks (per 1,000 adults)\n", + "Domestic credit provided by financial sector (% of GDP)\n", + "Expenditure on primary education (% of government expenditure on education)\n", + "Expenditure on secondary education (% of government expenditure on education)\n", + "Expense (% of GDP)\n", + "Expense (current LCU)\n", + "Female share of employment in senior and middle management (%)\n", + "Firms experiencing electrical outages (% of firms)\n", + "Firms experiencing losses due to theft and vandalism (% of firms)\n", + "Firms that spend on R&D (% of firms)\n", + "Firms visited or required meetings with tax officials (% of firms)\n", + "Firms with female top manager (% of firms)\n", + "Goods and services expense (% of expense)\n", + "Goods and services expense (current LCU)\n", + "Interest payments (% of expense)\n", + "Losses due to theft and vandalism (% of annual sales of affected firms)\n", + "Net acquisition of financial assets (% of GDP)\n", + "Net acquisition of financial assets (current LCU)\n", + "Net bilateral aid flows from DAC donors, Slovak Republic (current US$)\n", + "Net incurrence of liabilities, total (% of GDP)\n", + "Net incurrence of liabilities, total (current LCU)\n", + "Net investment in nonfinancial assets (% of GDP)\n", + "Net investment in nonfinancial assets (current LCU)\n", + "Net lending (+) / net borrowing (-) (% of GDP)\n", + "Net lending (+) / net borrowing (-) (current LCU)\n", + "Net ODA received (% of central government expense)\n", + "Number of visits or required meetings with tax officials (average for affected firms)\n", + "Other expense (% of expense)\n", + "Other expense (current LCU)\n", + "PNG, bonds (NFL, current US$)\n", + "Population living in slums (% of urban population)\n", + "Public private partnerships investment in ICT (current US$)\n", + "S&P Global Equity Indices (annual % change)\n", + "Subsidies and other transfers (% of expense)\n", + "Subsidies and other transfers (current LCU)\n", + "Survey mean consumption or income per capita, bottom 40% of population (2011 PPP $ per day)\n", + "Survey mean consumption or income per capita, total population (2011 PPP $ per day)\n", + "Value lost due to electrical outages (% of sales for affected firms)\n", + "Average transaction cost of sending remittances from a specific country (%)\n", + "Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative)\n", + "Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative)\n", + "Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative)\n", + "Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative)\n", + "Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative)\n", + "Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative)\n", + "Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative)\n", + "Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative)\n", + "Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative)\n", + "Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative)\n", + "Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative)\n", + "Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative)\n", + "Multidimensional poverty headcount ratio (% of total population)\n", + "Multidimensional poverty headcount ratio, children (% of population ages 0-17)\n", + "Multidimensional poverty headcount ratio, female (% of female population)\n", + "Multidimensional poverty headcount ratio, male (% of male population)\n", + "Net ODA provided to the least developed countries (% of GNI)\n", + "Net ODA provided, to the least developed countries (current US$)\n", + "Net ODA provided, total (% of GNI)\n", + "Net ODA provided, total (constant 2015 US$)\n", + "Net ODA provided, total (current US$)\n", + "Net primary income (Net income from abroad) (constant LCU)\n", + "Number of surgical procedures (per 100,000 population)\n", + "Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49)\n", + "Wholesale price index (2010 = 100)\n", + "Central government debt, total (% of GDP)\n", + "Central government debt, total (current LCU)\n", + "Child employment in agriculture (% of economically active children ages 7-14)\n", + "Child employment in agriculture, female (% of female economically active children ages 7-14)\n", + "Child employment in agriculture, male (% of male economically active children ages 7-14)\n", + "Child employment in manufacturing (% of economically active children ages 7-14)\n", + "Child employment in manufacturing, female (% of female economically active children ages 7-14)\n", + "Child employment in manufacturing, male (% of male economically active children ages 7-14)\n", + "Child employment in services (% of economically active children ages 7-14)\n", + "Child employment in services, female (% of female economically active children ages 7-14)\n", + "Child employment in services, male (% of male economically active children ages 7-14)\n", + "Children with fever receiving antimalarial drugs (% of children under age 5 with fever)\n", + "Claims on other sectors of the domestic economy (% of GDP)\n", + "Condom use, population ages 15-24, female (% of females ages 15-24)\n", + "Condom use, population ages 15-24, male (% of males ages 15-24)\n", + "CPIA building human resources rating (1=low to 6=high)\n", + "CPIA business regulatory environment rating (1=low to 6=high)\n", + "CPIA debt policy rating (1=low to 6=high)\n", + "CPIA economic management cluster average (1=low to 6=high)\n", + "CPIA efficiency of revenue mobilization rating (1=low to 6=high)\n", + "CPIA equity of public resource use rating (1=low to 6=high)\n", + "CPIA financial sector rating (1=low to 6=high)\n", + "CPIA fiscal policy rating (1=low to 6=high)\n", + "CPIA gender equality rating (1=low to 6=high)\n", + "CPIA macroeconomic management rating (1=low to 6=high)\n", + "CPIA policies for social inclusion/equity cluster average (1=low to 6=high)\n", + "CPIA policy and institutions for environmental sustainability rating (1=low to 6=high)\n", + "CPIA property rights and rule-based governance rating (1=low to 6=high)\n", + "CPIA public sector management and institutions cluster average (1=low to 6=high)\n", + "CPIA quality of budgetary and financial management rating (1=low to 6=high)\n", + "CPIA quality of public administration rating (1=low to 6=high)\n", + "CPIA social protection rating (1=low to 6=high)\n", + "CPIA structural policies cluster average (1=low to 6=high)\n", + "CPIA trade rating (1=low to 6=high)\n", + "CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high)\n", + "Female headed households (% of households with a female head)\n", + "IDA resource allocation index (1=low to 6=high)\n", + "Net financial flows, IDA (NFL, current US$)\n", + "PPG, IDA (DOD, current US$)\n", + "Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)\n", + "Trained teachers in lower secondary education (% of total teachers)\n", + "Trained teachers in lower secondary education, female (% of female teachers)\n", + "Trained teachers in lower secondary education, male (% of male teachers)\n", + "Trained teachers in preprimary education (% of total teachers)\n", + "Trained teachers in preprimary education, female (% of female teachers)\n", + "Trained teachers in preprimary education, male (% of male teachers)\n", + "Trained teachers in upper secondary education (% of total teachers)\n", + "Trained teachers in upper secondary education, female (% of female teachers)\n", + "Trained teachers in upper secondary education, male (% of male teachers)\n", + "Use of insecticide-treated bed nets (% of under-5 population)\n", + "Vitamin A supplementation coverage rate (% of children ages 6-59 months)\n", + "Wanted fertility rate (births per woman)\n", + "Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)\n", + "Women who believe a husband is justified in beating his wife when she argues with him (%)\n", + "Women who believe a husband is justified in beating his wife when she burns the food (%)\n", + "Women who believe a husband is justified in beating his wife when she goes out without telling him (%)\n", + "Women who believe a husband is justified in beating his wife when she neglects the children (%)\n", + "Women who believe a husband is justified in beating his wife when she refuses sex with him (%)\n", + "Community health workers (per 1,000 people)\n", + "Net bilateral aid flows from DAC donors, Iceland (current US$)\n", + "Trained teachers in secondary education (% of total teachers)\n", + "Trained teachers in secondary education, female (% of female teachers)\n", + "Trained teachers in secondary education, male (% of male teachers)\n", + "Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)\n", + "Female genital mutilation prevalence (%)\n", + "Net official flows from UN agencies, UNPBF (current US$)\n", + "Multidimensional poverty headcount ratio, household (% of total households)\n", + "Multidimensional poverty index (scale 0-1)\n", + "Multidimensional poverty intensity (average share of deprivations experienced by the poor)\n", + "Net financial flows, IMF concessional (NFL, current US$)\n", + "Net official aid received (constant 2018 US$)\n", + "Net official aid received (current US$)\n", + "Multidimensional poverty index, children (population ages 0-17) (scale 0-1)\n" ] }, { @@ -3283,147 +4049,147 @@ " Indicator\n", " Country\n", " Year\n", - " Alcohol per capita\n", - " Education GExp\n", - " Employment-agriculture\n", - " Employment-industry\n", - " Employment-services\n", - " Exports-Commercial services\n", - " Exports-G&S\n", - " Fertility rate\n", + " Access to clean fuels and technologies for cooking (% of population)\n", + " Access to clean fuels and technologies for cooking, rural (% of rural population)\n", + " Access to clean fuels and technologies for cooking, urban (% of urban population)\n", + " Access to electricity (% of population)\n", + " Access to electricity, rural (% of rural population)\n", + " Access to electricity, urban (% of urban population)\n", + " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + " Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)\n", " ...\n", - " Health services use\n", - " International taxes\n", - " Literacy rate\n", - " Mortality-infants\n", - " Net migration\n", - " Ninis\n", - " R&D GExp\n", - " Renewable electricity\n", - " Suicide\n", - " Workers high education\n", + " Urban population growth (annual %)\n", + " Urban population living in areas where elevation is below 5 meters (% of total population)\n", + " Vulnerable employment, female (% of female employment) (modeled ILO estimate)\n", + " Vulnerable employment, male (% of male employment) (modeled ILO estimate)\n", + " Vulnerable employment, total (% of total employment) (modeled ILO estimate)\n", + " Wage and salaried workers, female (% of female employment) (modeled ILO estimate)\n", + " Wage and salaried workers, male (% of male employment) (modeled ILO estimate)\n", + " Wage and salaried workers, total (% of total employment) (modeled ILO estimate)\n", + " Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)\n", + " Women Business and the Law Index Score (scale 1-100)\n", " \n", " \n", " \n", " \n", - " 347\n", + " 352\n", " DEU\n", " 1990\n", - " 1.00000\n", - " 0.443529\n", - " 1.000000\n", - " 1.000000\n", - " 0.000000\n", - " 0.002386\n", - " 0.000000\n", - " 0.636364\n", - " ...\n", - " 0.000000\n", - " NaN\n", - " NaN\n", - " 1.000000\n", - " 0.966124\n", - " 0.77758\n", - " 0.000000\n", - " 0.000000\n", - " 0.956522\n", - " 1.0\n", - " \n", - " \n", - " 348\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 98.133621\n", + " 98.704536\n", + " ...\n", + " 1.056365\n", + " 3.031776\n", + " 5.700000\n", + " 4.800000\n", + " 5.170000\n", + " 92.050003\n", + " 89.110001\n", + " 90.330002\n", + " 54.519497\n", + " 71.250\n", + " \n", + " \n", + " 353\n", " DEU\n", " 1991\n", - " 1.00000\n", - " 0.443529\n", - " 1.000000\n", - " 1.000000\n", - " 0.000000\n", - " 0.000000\n", - " 0.025535\n", - " 0.272727\n", - " ...\n", - " 0.000000\n", - " NaN\n", - " NaN\n", - " 1.000000\n", - " 0.966124\n", - " 0.77758\n", - " 0.000000\n", - " 0.002525\n", - " 0.956522\n", - " 1.0\n", - " \n", - " \n", - " 349\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 98.133621\n", + " 98.704536\n", + " ...\n", + " 0.934908\n", + " 3.029378\n", + " 5.700000\n", + " 4.800000\n", + " 5.170000\n", + " 92.050003\n", + " 89.110001\n", + " 90.330002\n", + " 54.519497\n", + " 71.250\n", + " \n", + " \n", + " 354\n", " DEU\n", " 1992\n", - " 1.00000\n", - " 0.443529\n", - " 0.964758\n", - " 0.966793\n", - " 0.034321\n", - " 0.018415\n", - " 0.046400\n", - " 0.151515\n", - " ...\n", - " 0.000000\n", - " NaN\n", - " NaN\n", - " 0.875324\n", - " 0.966124\n", - " 0.77758\n", - " 0.000000\n", - " 0.004025\n", - " 0.956522\n", - " 1.0\n", - " \n", - " \n", - " 350\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 98.133621\n", + " 98.704536\n", + " ...\n", + " 0.884470\n", + " 3.026980\n", + " 5.740000\n", + " 4.930000\n", + " 5.270000\n", + " 91.910004\n", + " 88.589996\n", + " 89.970001\n", + " 54.519497\n", + " 71.250\n", + " \n", + " \n", + " 355\n", " DEU\n", " 1993\n", - " 1.00000\n", - " 0.443529\n", - " 0.942731\n", - " 0.907021\n", - " 0.088143\n", - " 0.012182\n", - " 0.010957\n", - " 0.121212\n", - " ...\n", - " 0.000000\n", - " NaN\n", - " NaN\n", - " 0.765220\n", - " 0.823187\n", - " 0.77758\n", - " 0.000000\n", - " 0.005848\n", - " 0.956522\n", - " 1.0\n", - " \n", - " \n", - " 351\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 98.133621\n", + " 98.704536\n", + " ...\n", + " 0.843967\n", + " 3.024581\n", + " 5.850000\n", + " 5.040000\n", + " 5.380000\n", + " 91.669998\n", + " 88.250000\n", + " 89.669998\n", + " 56.039631\n", + " 71.250\n", + " \n", + " \n", + " 356\n", " DEU\n", " 1994\n", - " 1.00000\n", - " 0.380220\n", - " 0.903084\n", - " 0.876660\n", - " 0.119345\n", - " 0.018513\n", - " 0.041261\n", - " 0.000000\n", - " ...\n", - " 0.000000\n", - " NaN\n", - " NaN\n", - " 0.670984\n", - " 0.680250\n", - " 0.77758\n", - " 0.000000\n", - " 0.011012\n", - " 0.956522\n", - " 1.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 98.133621\n", + " 98.704536\n", + " ...\n", + " 0.636245\n", + " 3.022183\n", + " 5.610000\n", + " 5.200000\n", + " 5.370000\n", + " 91.629997\n", + " 87.739998\n", + " 89.370003\n", + " 57.559764\n", + " 71.250\n", " \n", " \n", " ...\n", @@ -3450,223 +4216,391 @@ " ...\n", " \n", " \n", - " 247\n", - " CHN\n", - " 2016\n", - " 0.99002\n", - " 0.246406\n", - " 0.068956\n", - " 0.831461\n", - " 0.867725\n", - " 0.849888\n", - " 0.804316\n", - " 0.588235\n", - " ...\n", - " 0.822241\n", - " 0.790308\n", - " 0.977482\n", - " 0.042573\n", - " 0.264203\n", - " NaN\n", - " 0.974482\n", - " 1.000000\n", - " 0.016129\n", - " NaN\n", - " \n", - " \n", - " 248\n", + " 251\n", " CHN\n", " 2017\n", - " 0.98004\n", - " 0.212024\n", - " 0.048007\n", - " 0.753933\n", - " 0.917460\n", - " 0.867490\n", - " 0.888169\n", - " 0.647059\n", - " ...\n", - " 0.868064\n", - " 1.000000\n", - " 0.988741\n", - " 0.030745\n", - " 0.243061\n", - " NaN\n", - " 0.984436\n", - " 1.000000\n", - " 0.000000\n", - " NaN\n", - " \n", - " \n", - " 249\n", + " 73.2\n", + " 55.2\n", + " 86.2\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 80.229118\n", + " 76.364731\n", + " ...\n", + " 2.739664\n", + " 4.203002\n", + " 46.530001\n", + " 42.949999\n", + " 44.530002\n", + " 52.430000\n", + " 54.169998\n", + " 53.400002\n", + " 21.358958\n", + " 75.625\n", + " \n", + " \n", + " 252\n", " CHN\n", " 2018\n", - " 0.97006\n", - " 0.000000\n", - " 0.021530\n", - " 0.777528\n", - " 0.942152\n", - " 0.953748\n", - " 0.974699\n", - " 0.698529\n", - " ...\n", - " 0.912945\n", - " 0.920304\n", - " 1.000000\n", - " 0.019650\n", - " 0.243061\n", - " NaN\n", - " 1.000000\n", - " 1.000000\n", - " 0.000000\n", - " NaN\n", - " \n", - " \n", - " 250\n", + " 75.6\n", + " 59.0\n", + " 87.4\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 80.229118\n", + " 76.364731\n", + " ...\n", + " 2.503401\n", + " 4.203002\n", + " 45.720001\n", + " 41.940001\n", + " 43.609999\n", + " 53.209999\n", + " 55.139999\n", + " 54.290001\n", + " 21.358958\n", + " 75.625\n", + " \n", + " \n", + " 253\n", " CHN\n", " 2019\n", - " 0.97006\n", - " 0.000000\n", - " 0.000000\n", - " 0.676405\n", - " 1.000000\n", - " 1.000000\n", - " 0.964730\n", - " 0.742647\n", - " ...\n", - " 0.956910\n", - " 0.920304\n", - " 1.000000\n", - " 0.009383\n", - " 0.243061\n", - " NaN\n", - " 1.000000\n", - " 1.000000\n", - " 0.000000\n", - " NaN\n", - " \n", - " \n", - " 251\n", + " 77.6\n", + " 61.9\n", + " 88.4\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 80.229118\n", + " 76.364731\n", + " ...\n", + " 2.290177\n", + " 4.203002\n", + " 44.760000\n", + " 40.819999\n", + " 42.540000\n", + " 54.150002\n", + " 56.279999\n", + " 55.340000\n", + " 21.358958\n", + " 75.625\n", + " \n", + " \n", + " 254\n", " CHN\n", " 2020\n", - " 0.97006\n", - " 0.000000\n", - " 0.000000\n", - " 0.676405\n", - " 1.000000\n", - " 0.957514\n", - " 1.000000\n", - " 0.772059\n", - " ...\n", - " 1.000000\n", - " 0.920304\n", - " 1.000000\n", - " 0.000000\n", - " 0.243061\n", - " NaN\n", - " 1.000000\n", - " 1.000000\n", - " 0.000000\n", - " NaN\n", + " 79.4\n", + " 65.2\n", + " 89.4\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 80.229118\n", + " 76.364731\n", + " ...\n", + " 2.066047\n", + " 4.203002\n", + " 44.760000\n", + " 40.819999\n", + " 42.540000\n", + " 54.150002\n", + " 56.279999\n", + " 55.340000\n", + " 21.358958\n", + " 75.625\n", + " \n", + " \n", + " 255\n", + " CHN\n", + " 2021\n", + " 79.4\n", + " 65.2\n", + " 89.4\n", + " 100.0\n", + " 100.0\n", + " 100.0\n", + " 80.229118\n", + " 76.364731\n", + " ...\n", + " 2.066047\n", + " 4.203002\n", + " 44.760000\n", + " 40.819999\n", + " 42.540000\n", + " 54.150002\n", + " 56.279999\n", + " 55.340000\n", + " 21.358958\n", + " 75.625\n", " \n", " \n", "\n", - "

1509 rows × 22 columns

\n", + "

1536 rows × 1060 columns

\n", "" ], "text/plain": [ - "Indicator Country Year Alcohol per capita Education GExp \\\n", - "347 DEU 1990 1.00000 0.443529 \n", - "348 DEU 1991 1.00000 0.443529 \n", - "349 DEU 1992 1.00000 0.443529 \n", - "350 DEU 1993 1.00000 0.443529 \n", - "351 DEU 1994 1.00000 0.380220 \n", - ".. ... ... ... ... \n", - "247 CHN 2016 0.99002 0.246406 \n", - "248 CHN 2017 0.98004 0.212024 \n", - "249 CHN 2018 0.97006 0.000000 \n", - "250 CHN 2019 0.97006 0.000000 \n", - "251 CHN 2020 0.97006 0.000000 \n", - "\n", - "Indicator Employment-agriculture Employment-industry Employment-services \\\n", - "347 1.000000 1.000000 0.000000 \n", - "348 1.000000 1.000000 0.000000 \n", - "349 0.964758 0.966793 0.034321 \n", - "350 0.942731 0.907021 0.088143 \n", - "351 0.903084 0.876660 0.119345 \n", - ".. ... ... ... \n", - "247 0.068956 0.831461 0.867725 \n", - "248 0.048007 0.753933 0.917460 \n", - "249 0.021530 0.777528 0.942152 \n", - "250 0.000000 0.676405 1.000000 \n", - "251 0.000000 0.676405 1.000000 \n", - "\n", - "Indicator Exports-Commercial services Exports-G&S Fertility rate ... \\\n", - "347 0.002386 0.000000 0.636364 ... \n", - "348 0.000000 0.025535 0.272727 ... \n", - "349 0.018415 0.046400 0.151515 ... \n", - "350 0.012182 0.010957 0.121212 ... \n", - "351 0.018513 0.041261 0.000000 ... \n", - ".. ... ... ... ... \n", - "247 0.849888 0.804316 0.588235 ... \n", - "248 0.867490 0.888169 0.647059 ... \n", - "249 0.953748 0.974699 0.698529 ... \n", - "250 1.000000 0.964730 0.742647 ... \n", - "251 0.957514 1.000000 0.772059 ... \n", - "\n", - "Indicator Health services use International taxes Literacy rate \\\n", - "347 0.000000 NaN NaN \n", - "348 0.000000 NaN NaN \n", - "349 0.000000 NaN NaN \n", - "350 0.000000 NaN NaN \n", - "351 0.000000 NaN NaN \n", - ".. ... ... ... \n", - "247 0.822241 0.790308 0.977482 \n", - "248 0.868064 1.000000 0.988741 \n", - "249 0.912945 0.920304 1.000000 \n", - "250 0.956910 0.920304 1.000000 \n", - "251 1.000000 0.920304 1.000000 \n", - "\n", - "Indicator Mortality-infants Net migration Ninis R&D GExp \\\n", - "347 1.000000 0.966124 0.77758 0.000000 \n", - "348 1.000000 0.966124 0.77758 0.000000 \n", - "349 0.875324 0.966124 0.77758 0.000000 \n", - "350 0.765220 0.823187 0.77758 0.000000 \n", - "351 0.670984 0.680250 0.77758 0.000000 \n", - ".. ... ... ... ... \n", - "247 0.042573 0.264203 NaN 0.974482 \n", - "248 0.030745 0.243061 NaN 0.984436 \n", - "249 0.019650 0.243061 NaN 1.000000 \n", - "250 0.009383 0.243061 NaN 1.000000 \n", - "251 0.000000 0.243061 NaN 1.000000 \n", - "\n", - "Indicator Renewable electricity Suicide Workers high education \n", - "347 0.000000 0.956522 1.0 \n", - "348 0.002525 0.956522 1.0 \n", - "349 0.004025 0.956522 1.0 \n", - "350 0.005848 0.956522 1.0 \n", - "351 0.011012 0.956522 1.0 \n", - ".. ... ... ... \n", - "247 1.000000 0.016129 NaN \n", - "248 1.000000 0.000000 NaN \n", - "249 1.000000 0.000000 NaN \n", - "250 1.000000 0.000000 NaN \n", - "251 1.000000 0.000000 NaN \n", - "\n", - "[1509 rows x 22 columns]" + "Indicator Country Year \\\n", + "352 DEU 1990 \n", + "353 DEU 1991 \n", + "354 DEU 1992 \n", + "355 DEU 1993 \n", + "356 DEU 1994 \n", + ".. ... ... \n", + "251 CHN 2017 \n", + "252 CHN 2018 \n", + "253 CHN 2019 \n", + "254 CHN 2020 \n", + "255 CHN 2021 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 73.2 \n", + "252 75.6 \n", + "253 77.6 \n", + "254 79.4 \n", + "255 79.4 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 55.2 \n", + "252 59.0 \n", + "253 61.9 \n", + "254 65.2 \n", + "255 65.2 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 86.2 \n", + "252 87.4 \n", + "253 88.4 \n", + "254 89.4 \n", + "255 89.4 \n", + "\n", + "Indicator Access to electricity (% of population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 100.0 \n", + "252 100.0 \n", + "253 100.0 \n", + "254 100.0 \n", + "255 100.0 \n", + "\n", + "Indicator Access to electricity, rural (% of rural population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 100.0 \n", + "252 100.0 \n", + "253 100.0 \n", + "254 100.0 \n", + "255 100.0 \n", + "\n", + "Indicator Access to electricity, urban (% of urban population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 100.0 \n", + "252 100.0 \n", + "253 100.0 \n", + "254 100.0 \n", + "255 100.0 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "352 98.133621 \n", + "353 98.133621 \n", + "354 98.133621 \n", + "355 98.133621 \n", + "356 98.133621 \n", + ".. ... \n", + "251 80.229118 \n", + "252 80.229118 \n", + "253 80.229118 \n", + "254 80.229118 \n", + "255 80.229118 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) \\\n", + "352 98.704536 \n", + "353 98.704536 \n", + "354 98.704536 \n", + "355 98.704536 \n", + "356 98.704536 \n", + ".. ... \n", + "251 76.364731 \n", + "252 76.364731 \n", + "253 76.364731 \n", + "254 76.364731 \n", + "255 76.364731 \n", + "\n", + "Indicator ... Urban population growth (annual %) \\\n", + "352 ... 1.056365 \n", + "353 ... 0.934908 \n", + "354 ... 0.884470 \n", + "355 ... 0.843967 \n", + "356 ... 0.636245 \n", + ".. ... ... \n", + "251 ... 2.739664 \n", + "252 ... 2.503401 \n", + "253 ... 2.290177 \n", + "254 ... 2.066047 \n", + "255 ... 2.066047 \n", + "\n", + "Indicator Urban population living in areas where elevation is below 5 meters (% of total population) \\\n", + "352 3.031776 \n", + "353 3.029378 \n", + "354 3.026980 \n", + "355 3.024581 \n", + "356 3.022183 \n", + ".. ... \n", + "251 4.203002 \n", + "252 4.203002 \n", + "253 4.203002 \n", + "254 4.203002 \n", + "255 4.203002 \n", + "\n", + "Indicator Vulnerable employment, female (% of female employment) (modeled ILO estimate) \\\n", + "352 5.700000 \n", + "353 5.700000 \n", + "354 5.740000 \n", + "355 5.850000 \n", + "356 5.610000 \n", + ".. ... \n", + "251 46.530001 \n", + "252 45.720001 \n", + "253 44.760000 \n", + "254 44.760000 \n", + "255 44.760000 \n", + "\n", + "Indicator Vulnerable employment, male (% of male employment) (modeled ILO estimate) \\\n", + "352 4.800000 \n", + "353 4.800000 \n", + "354 4.930000 \n", + "355 5.040000 \n", + "356 5.200000 \n", + ".. ... \n", + "251 42.949999 \n", + "252 41.940001 \n", + "253 40.819999 \n", + "254 40.819999 \n", + "255 40.819999 \n", + "\n", + "Indicator Vulnerable employment, total (% of total employment) (modeled ILO estimate) \\\n", + "352 5.170000 \n", + "353 5.170000 \n", + "354 5.270000 \n", + "355 5.380000 \n", + "356 5.370000 \n", + ".. ... \n", + "251 44.530002 \n", + "252 43.609999 \n", + "253 42.540000 \n", + "254 42.540000 \n", + "255 42.540000 \n", + "\n", + "Indicator Wage and salaried workers, female (% of female employment) (modeled ILO estimate) \\\n", + "352 92.050003 \n", + "353 92.050003 \n", + "354 91.910004 \n", + "355 91.669998 \n", + "356 91.629997 \n", + ".. ... \n", + "251 52.430000 \n", + "252 53.209999 \n", + "253 54.150002 \n", + "254 54.150002 \n", + "255 54.150002 \n", + "\n", + "Indicator Wage and salaried workers, male (% of male employment) (modeled ILO estimate) \\\n", + "352 89.110001 \n", + "353 89.110001 \n", + "354 88.589996 \n", + "355 88.250000 \n", + "356 87.739998 \n", + ".. ... \n", + "251 54.169998 \n", + "252 55.139999 \n", + "253 56.279999 \n", + "254 56.279999 \n", + "255 56.279999 \n", + "\n", + "Indicator Wage and salaried workers, total (% of total employment) (modeled ILO estimate) \\\n", + "352 90.330002 \n", + "353 90.330002 \n", + "354 89.970001 \n", + "355 89.669998 \n", + "356 89.370003 \n", + ".. ... \n", + "251 53.400002 \n", + "252 54.290001 \n", + "253 55.340000 \n", + "254 55.340000 \n", + "255 55.340000 \n", + "\n", + "Indicator Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) \\\n", + "352 54.519497 \n", + "353 54.519497 \n", + "354 54.519497 \n", + "355 56.039631 \n", + "356 57.559764 \n", + ".. ... \n", + "251 21.358958 \n", + "252 21.358958 \n", + "253 21.358958 \n", + "254 21.358958 \n", + "255 21.358958 \n", + "\n", + "Indicator Women Business and the Law Index Score (scale 1-100) \n", + "352 71.250 \n", + "353 71.250 \n", + "354 71.250 \n", + "355 71.250 \n", + "356 71.250 \n", + ".. ... \n", + "251 75.625 \n", + "252 75.625 \n", + "253 75.625 \n", + "254 75.625 \n", + "255 75.625 \n", + "\n", + "[1536 rows x 1060 columns]" ] }, - "execution_count": 32, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data.replace([np.inf, -np.inf], np.nan, inplace=True)\n", - "for i in range(0, len(col_to_scale)):\n", - " if data[col_to_scale[i]].isna().sum()>1000:\n", - " del(data[col_to_scale[i]])\n", - " print(col_to_scale[i])\n", + "for i in range(0, len(cols)):\n", + " if data[cols[i]].isna().sum()>308:\n", + " del(data[cols[i]])\n", + " print(cols[i])\n", "data" ] }, @@ -3679,7 +4613,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -3688,64 +4622,7 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "for i in range(2,len(columns)):\n", - " data[columns[i]]=data[columns[i]]/data.iloc[0,i]\n", - "data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For the next part of analyzing this data, we think it is gonna be interesting to have it classify by the categories of the Country groups defined before, to which we call \"Continent\". This category is useful as it groups the nations with similar economies or geographical proximity, so we can extract common conclusions from them." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We create a dictionary with the regions and the countries included in each one. Where we will relate the countries and regions so then we can apply the .map function and arrive to the final dataframe." - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'DEU': 'Europe', 'FRA': 'Europe', 'SWE': 'Europe', 'GBR': 'Europe', 'ESP': 'Europe', 'HRV': 'Europe', 'POL': 'Europe', 'GRC': 'Europe', 'AUT': 'Europe', 'NLD': 'Europe', 'IRQ': 'Persian Gulf', 'QAT': 'Persian Gulf', 'ARE': 'Persian Gulf', 'SAU': 'Persian Gulf', 'AZE': 'Persian Gulf', 'YEM': 'Persian Gulf', 'YDR': 'Persian Gulf', 'OMN': 'Persian Gulf', 'DZA': 'North Africa', 'EGY': 'North Africa', 'LBY': 'North Africa', 'ISR': 'North Africa', 'TUR': 'North Africa', 'MAR': 'North Africa', 'SEN': 'South Africa', 'ZAF': 'South Africa', 'LBR': 'South Africa', 'MOZ': 'South Africa', 'CMR': 'South Africa', 'NGA': 'South Africa', 'GHA': 'South Africa', 'BGD': 'Asia', 'IND': 'Asia', 'VNM': 'Asia', 'THA': 'Asia', 'IDN': 'Asia', 'PHL': 'Asia', 'KOR': 'Asia', 'MEX': 'Latam', 'BRA': 'Latam', 'ARG': 'Latam', 'PER': 'Latam', 'VEN': 'Latam', 'COL': 'Latam', 'CHL': 'Latam', 'PAN': 'Latam', 'CRI': 'Latam', 'USA': 'Pair', 'CHN': 'Pair'}\n" - ] - } - ], - "source": [ - "countries_by_region = {\n", - " \"Europe\": ('DEU','FRA','SWE','GBR','ESP','HRV','POL','GRC','AUT','NLD'),\n", - " 'Persian Gulf': ('IRQ','QAT','ARE','SAU','AZE','YEM','YDR','OMN'),\n", - " 'North Africa':('DZA','EGY','LBY','ISR','TUR','MAR'),\n", - " 'South Africa':('SEN','ZAF','LBR','MOZ','CMR','NGA','GHA'),\n", - " 'Asia':('BGD','IND','VNM','THA','IDN','PHL','KOR'),\n", - " 'Latam':('MEX','BRA','ARG','PER','VEN','COL','CHL','PAN','CRI'),\n", - " 'Pair':('USA','CHN')\n", - " }\n", - "\n", - "all_countries = {}\n", - "for region in countries_by_region.keys():\n", - " for country in countries_by_region[region]:\n", - " all_countries[country] = region\n", - "\n", - "print(all_countries)" - ] - }, - { - "cell_type": "code", - "execution_count": 34, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -3771,147 +4648,147 @@ " Indicator\n", " Country\n", " Year\n", - " Alcohol per capita\n", - " Education GExp\n", - " Employment-agriculture\n", - " Employment-industry\n", - " Employment-services\n", - " Exports-Commercial services\n", - " Exports-G&S\n", - " Fertility rate\n", + " Access to clean fuels and technologies for cooking (% of population)\n", + " Access to clean fuels and technologies for cooking, rural (% of rural population)\n", + " Access to clean fuels and technologies for cooking, urban (% of urban population)\n", + " Access to electricity (% of population)\n", + " Access to electricity, rural (% of rural population)\n", + " Access to electricity, urban (% of urban population)\n", + " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + " Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)\n", " ...\n", - " International taxes\n", - " Literacy rate\n", - " Mortality-infants\n", - " Net migration\n", - " Ninis\n", - " R&D GExp\n", - " Renewable electricity\n", - " Suicide\n", - " Workers high education\n", - " Continent\n", + " Urban population growth (annual %)\n", + " Urban population living in areas where elevation is below 5 meters (% of total population)\n", + " Vulnerable employment, female (% of female employment) (modeled ILO estimate)\n", + " Vulnerable employment, male (% of male employment) (modeled ILO estimate)\n", + " Vulnerable employment, total (% of total employment) (modeled ILO estimate)\n", + " Wage and salaried workers, female (% of female employment) (modeled ILO estimate)\n", + " Wage and salaried workers, male (% of male employment) (modeled ILO estimate)\n", + " Wage and salaried workers, total (% of total employment) (modeled ILO estimate)\n", + " Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)\n", + " Women Business and the Law Index Score (scale 1-100)\n", " \n", " \n", " \n", " \n", - " 347\n", + " 352\n", " DEU\n", " 1990\n", + " 1.000\n", + " 1.000\n", + " 1.000\n", + " 1.0\n", + " 1.0\n", + " 1.0\n", + " 1.00000\n", " 1.00000\n", - " 0.443529\n", + " ...\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", " 1.000000\n", " 1.000000\n", - " 0.000000\n", - " 0.002386\n", - " 0.000000\n", - " 0.636364\n", - " ...\n", - " NaN\n", - " NaN\n", " 1.000000\n", - " 0.966124\n", - " 0.77758\n", - " 0.000000\n", - " 0.000000\n", - " 0.956522\n", - " 1.0\n", - " Europe\n", " \n", " \n", - " 348\n", + " 353\n", " DEU\n", " 1991\n", + " 1.000\n", + " 1.000\n", + " 1.000\n", + " 1.0\n", + " 1.0\n", + " 1.0\n", " 1.00000\n", - " 0.443529\n", + " 1.00000\n", + " ...\n", + " 0.885023\n", + " 0.999209\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", " 1.000000\n", " 1.000000\n", - " 0.000000\n", - " 0.000000\n", - " 0.025535\n", - " 0.272727\n", - " ...\n", - " NaN\n", - " NaN\n", " 1.000000\n", - " 0.966124\n", - " 0.77758\n", - " 0.000000\n", - " 0.002525\n", - " 0.956522\n", - " 1.0\n", - " Europe\n", " \n", " \n", - " 349\n", + " 354\n", " DEU\n", " 1992\n", + " 1.000\n", + " 1.000\n", + " 1.000\n", + " 1.0\n", + " 1.0\n", + " 1.0\n", + " 1.00000\n", " 1.00000\n", - " 0.443529\n", - " 0.964758\n", - " 0.966793\n", - " 0.034321\n", - " 0.018415\n", - " 0.046400\n", - " 0.151515\n", " ...\n", - " NaN\n", - " NaN\n", - " 0.875324\n", - " 0.966124\n", - " 0.77758\n", - " 0.000000\n", - " 0.004025\n", - " 0.956522\n", - " 1.0\n", - " Europe\n", + " 0.837277\n", + " 0.998418\n", + " 1.007018\n", + " 1.027083\n", + " 1.019342\n", + " 0.998479\n", + " 0.994164\n", + " 0.996015\n", + " 1.000000\n", + " 1.000000\n", " \n", " \n", - " 350\n", + " 355\n", " DEU\n", " 1993\n", + " 1.000\n", + " 1.000\n", + " 1.000\n", + " 1.0\n", + " 1.0\n", + " 1.0\n", + " 1.00000\n", " 1.00000\n", - " 0.443529\n", - " 0.942731\n", - " 0.907021\n", - " 0.088143\n", - " 0.012182\n", - " 0.010957\n", - " 0.121212\n", " ...\n", - " NaN\n", - " NaN\n", - " 0.765220\n", - " 0.823187\n", - " 0.77758\n", - " 0.000000\n", - " 0.005848\n", - " 0.956522\n", - " 1.0\n", - " Europe\n", + " 0.798935\n", + " 0.997627\n", + " 1.026316\n", + " 1.050000\n", + " 1.040619\n", + " 0.995872\n", + " 0.990349\n", + " 0.992693\n", + " 1.027882\n", + " 1.000000\n", " \n", " \n", - " 351\n", + " 356\n", " DEU\n", " 1994\n", + " 1.000\n", + " 1.000\n", + " 1.000\n", + " 1.0\n", + " 1.0\n", + " 1.0\n", + " 1.00000\n", " 1.00000\n", - " 0.380220\n", - " 0.903084\n", - " 0.876660\n", - " 0.119345\n", - " 0.018513\n", - " 0.041261\n", - " 0.000000\n", " ...\n", - " NaN\n", - " NaN\n", - " 0.670984\n", - " 0.680250\n", - " 0.77758\n", - " 0.000000\n", - " 0.011012\n", - " 0.956522\n", - " 1.0\n", - " Europe\n", + " 0.602296\n", + " 0.996836\n", + " 0.984210\n", + " 1.083333\n", + " 1.038685\n", + " 0.995437\n", + " 0.984626\n", + " 0.989372\n", + " 1.055765\n", + " 1.000000\n", " \n", " \n", " ...\n", @@ -3938,518 +4815,441 @@ " ...\n", " \n", " \n", - " 247\n", - " CHN\n", - " 2016\n", - " 0.99002\n", - " 0.246406\n", - " 0.068956\n", - " 0.831461\n", - " 0.867725\n", - " 0.849888\n", - " 0.804316\n", - " 0.588235\n", - " ...\n", - " 0.790308\n", - " 0.977482\n", - " 0.042573\n", - " 0.264203\n", - " NaN\n", - " 0.974482\n", - " 1.000000\n", - " 0.016129\n", - " NaN\n", - " Pair\n", - " \n", - " \n", - " 248\n", + " 251\n", " CHN\n", " 2017\n", - " 0.98004\n", - " 0.212024\n", - " 0.048007\n", - " 0.753933\n", - " 0.917460\n", - " 0.867490\n", - " 0.888169\n", - " 0.647059\n", - " ...\n", - " 1.000000\n", - " 0.988741\n", - " 0.030745\n", - " 0.243061\n", - " NaN\n", - " 0.984436\n", - " 1.000000\n", - " 0.000000\n", - " NaN\n", - " Pair\n", - " \n", - " \n", - " 249\n", + " 0.732\n", + " 0.552\n", + " 0.862\n", + " 1.0\n", + " 1.0\n", + " 1.0\n", + " 0.81755\n", + " 0.77367\n", + " ...\n", + " 2.593482\n", + " 1.386317\n", + " 8.163158\n", + " 8.947917\n", + " 8.613153\n", + " 0.569582\n", + " 0.607900\n", + " 0.591166\n", + " 0.391767\n", + " 1.061404\n", + " \n", + " \n", + " 252\n", " CHN\n", " 2018\n", - " 0.97006\n", - " 0.000000\n", - " 0.021530\n", - " 0.777528\n", - " 0.942152\n", - " 0.953748\n", - " 0.974699\n", - " 0.698529\n", - " ...\n", - " 0.920304\n", - " 1.000000\n", - " 0.019650\n", - " 0.243061\n", - " NaN\n", - " 1.000000\n", - " 1.000000\n", - " 0.000000\n", - " NaN\n", - " Pair\n", - " \n", - " \n", - " 250\n", - " CHN\n", + " 0.756\n", + " 0.590\n", + " 0.874\n", + " 1.0\n", + " 1.0\n", + " 1.0\n", + " 0.81755\n", + " 0.77367\n", + " ...\n", + " 2.369825\n", + " 1.386317\n", + " 8.021053\n", + " 8.737500\n", + " 8.435203\n", + " 0.578055\n", + " 0.618786\n", + " 0.601018\n", + " 0.391767\n", + " 1.061404\n", + " \n", + " \n", + " 253\n", + " CHN\n", " 2019\n", - " 0.97006\n", - " 0.000000\n", - " 0.000000\n", - " 0.676405\n", - " 1.000000\n", - " 1.000000\n", - " 0.964730\n", - " 0.742647\n", - " ...\n", - " 0.920304\n", - " 1.000000\n", - " 0.009383\n", - " 0.243061\n", - " NaN\n", - " 1.000000\n", - " 1.000000\n", - " 0.000000\n", - " NaN\n", - " Pair\n", - " \n", - " \n", - " 251\n", + " 0.776\n", + " 0.619\n", + " 0.884\n", + " 1.0\n", + " 1.0\n", + " 1.0\n", + " 0.81755\n", + " 0.77367\n", + " ...\n", + " 2.167979\n", + " 1.386317\n", + " 7.852632\n", + " 8.504167\n", + " 8.228240\n", + " 0.588267\n", + " 0.631579\n", + " 0.612643\n", + " 0.391767\n", + " 1.061404\n", + " \n", + " \n", + " 254\n", " CHN\n", " 2020\n", - " 0.97006\n", - " 0.000000\n", - " 0.000000\n", - " 0.676405\n", - " 1.000000\n", - " 0.957514\n", - " 1.000000\n", - " 0.772059\n", - " ...\n", - " 0.920304\n", - " 1.000000\n", - " 0.000000\n", - " 0.243061\n", - " NaN\n", - " 1.000000\n", - " 1.000000\n", - " 0.000000\n", - " NaN\n", - " Pair\n", + " 0.794\n", + " 0.652\n", + " 0.894\n", + " 1.0\n", + " 1.0\n", + " 1.0\n", + " 0.81755\n", + " 0.77367\n", + " ...\n", + " 1.955807\n", + " 1.386317\n", + " 7.852632\n", + " 8.504167\n", + " 8.228240\n", + " 0.588267\n", + " 0.631579\n", + " 0.612643\n", + " 0.391767\n", + " 1.061404\n", + " \n", + " \n", + " 255\n", + " CHN\n", + " 2021\n", + " 0.794\n", + " 0.652\n", + " 0.894\n", + " 1.0\n", + " 1.0\n", + " 1.0\n", + " 0.81755\n", + " 0.77367\n", + " ...\n", + " 1.955807\n", + " 1.386317\n", + " 7.852632\n", + " 8.504167\n", + " 8.228240\n", + " 0.588267\n", + " 0.631579\n", + " 0.612643\n", + " 0.391767\n", + " 1.061404\n", " \n", " \n", "\n", - "

1509 rows × 23 columns

\n", + "

1536 rows × 1060 columns

\n", "" ], "text/plain": [ - "Indicator Country Year Alcohol per capita Education GExp \\\n", - "347 DEU 1990 1.00000 0.443529 \n", - "348 DEU 1991 1.00000 0.443529 \n", - "349 DEU 1992 1.00000 0.443529 \n", - "350 DEU 1993 1.00000 0.443529 \n", - "351 DEU 1994 1.00000 0.380220 \n", - ".. ... ... ... ... \n", - "247 CHN 2016 0.99002 0.246406 \n", - "248 CHN 2017 0.98004 0.212024 \n", - "249 CHN 2018 0.97006 0.000000 \n", - "250 CHN 2019 0.97006 0.000000 \n", - "251 CHN 2020 0.97006 0.000000 \n", - "\n", - "Indicator Employment-agriculture Employment-industry Employment-services \\\n", - "347 1.000000 1.000000 0.000000 \n", - "348 1.000000 1.000000 0.000000 \n", - "349 0.964758 0.966793 0.034321 \n", - "350 0.942731 0.907021 0.088143 \n", - "351 0.903084 0.876660 0.119345 \n", - ".. ... ... ... \n", - "247 0.068956 0.831461 0.867725 \n", - "248 0.048007 0.753933 0.917460 \n", - "249 0.021530 0.777528 0.942152 \n", - "250 0.000000 0.676405 1.000000 \n", - "251 0.000000 0.676405 1.000000 \n", - "\n", - "Indicator Exports-Commercial services Exports-G&S Fertility rate ... \\\n", - "347 0.002386 0.000000 0.636364 ... \n", - "348 0.000000 0.025535 0.272727 ... \n", - "349 0.018415 0.046400 0.151515 ... \n", - "350 0.012182 0.010957 0.121212 ... \n", - "351 0.018513 0.041261 0.000000 ... \n", - ".. ... ... ... ... \n", - "247 0.849888 0.804316 0.588235 ... \n", - "248 0.867490 0.888169 0.647059 ... \n", - "249 0.953748 0.974699 0.698529 ... \n", - "250 1.000000 0.964730 0.742647 ... \n", - "251 0.957514 1.000000 0.772059 ... \n", - "\n", - "Indicator International taxes Literacy rate Mortality-infants \\\n", - "347 NaN NaN 1.000000 \n", - "348 NaN NaN 1.000000 \n", - "349 NaN NaN 0.875324 \n", - "350 NaN NaN 0.765220 \n", - "351 NaN NaN 0.670984 \n", - ".. ... ... ... \n", - "247 0.790308 0.977482 0.042573 \n", - "248 1.000000 0.988741 0.030745 \n", - "249 0.920304 1.000000 0.019650 \n", - "250 0.920304 1.000000 0.009383 \n", - "251 0.920304 1.000000 0.000000 \n", - "\n", - "Indicator Net migration Ninis R&D GExp Renewable electricity Suicide \\\n", - "347 0.966124 0.77758 0.000000 0.000000 0.956522 \n", - "348 0.966124 0.77758 0.000000 0.002525 0.956522 \n", - "349 0.966124 0.77758 0.000000 0.004025 0.956522 \n", - "350 0.823187 0.77758 0.000000 0.005848 0.956522 \n", - "351 0.680250 0.77758 0.000000 0.011012 0.956522 \n", - ".. ... ... ... ... ... \n", - "247 0.264203 NaN 0.974482 1.000000 0.016129 \n", - "248 0.243061 NaN 0.984436 1.000000 0.000000 \n", - "249 0.243061 NaN 1.000000 1.000000 0.000000 \n", - "250 0.243061 NaN 1.000000 1.000000 0.000000 \n", - "251 0.243061 NaN 1.000000 1.000000 0.000000 \n", - "\n", - "Indicator Workers high education Continent \n", - "347 1.0 Europe \n", - "348 1.0 Europe \n", - "349 1.0 Europe \n", - "350 1.0 Europe \n", - "351 1.0 Europe \n", - ".. ... ... \n", - "247 NaN Pair \n", - "248 NaN Pair \n", - "249 NaN Pair \n", - "250 NaN Pair \n", - "251 NaN Pair \n", - "\n", - "[1509 rows x 23 columns]" + "Indicator Country Year \\\n", + "352 DEU 1990 \n", + "353 DEU 1991 \n", + "354 DEU 1992 \n", + "355 DEU 1993 \n", + "356 DEU 1994 \n", + ".. ... ... \n", + "251 CHN 2017 \n", + "252 CHN 2018 \n", + "253 CHN 2019 \n", + "254 CHN 2020 \n", + "255 CHN 2021 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", + "352 1.000 \n", + "353 1.000 \n", + "354 1.000 \n", + "355 1.000 \n", + "356 1.000 \n", + ".. ... \n", + "251 0.732 \n", + "252 0.756 \n", + "253 0.776 \n", + "254 0.794 \n", + "255 0.794 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", + "352 1.000 \n", + "353 1.000 \n", + "354 1.000 \n", + "355 1.000 \n", + "356 1.000 \n", + ".. ... \n", + "251 0.552 \n", + "252 0.590 \n", + "253 0.619 \n", + "254 0.652 \n", + "255 0.652 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", + "352 1.000 \n", + "353 1.000 \n", + "354 1.000 \n", + "355 1.000 \n", + "356 1.000 \n", + ".. ... \n", + "251 0.862 \n", + "252 0.874 \n", + "253 0.884 \n", + "254 0.894 \n", + "255 0.894 \n", + "\n", + "Indicator Access to electricity (% of population) \\\n", + "352 1.0 \n", + "353 1.0 \n", + "354 1.0 \n", + "355 1.0 \n", + "356 1.0 \n", + ".. ... \n", + "251 1.0 \n", + "252 1.0 \n", + "253 1.0 \n", + "254 1.0 \n", + "255 1.0 \n", + "\n", + "Indicator Access to electricity, rural (% of rural population) \\\n", + "352 1.0 \n", + "353 1.0 \n", + "354 1.0 \n", + "355 1.0 \n", + "356 1.0 \n", + ".. ... \n", + "251 1.0 \n", + "252 1.0 \n", + "253 1.0 \n", + "254 1.0 \n", + "255 1.0 \n", + "\n", + "Indicator Access to electricity, urban (% of urban population) \\\n", + "352 1.0 \n", + "353 1.0 \n", + "354 1.0 \n", + "355 1.0 \n", + "356 1.0 \n", + ".. ... \n", + "251 1.0 \n", + "252 1.0 \n", + "253 1.0 \n", + "254 1.0 \n", + "255 1.0 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "352 1.00000 \n", + "353 1.00000 \n", + "354 1.00000 \n", + "355 1.00000 \n", + "356 1.00000 \n", + ".. ... \n", + "251 0.81755 \n", + "252 0.81755 \n", + "253 0.81755 \n", + "254 0.81755 \n", + "255 0.81755 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) \\\n", + "352 1.00000 \n", + "353 1.00000 \n", + "354 1.00000 \n", + "355 1.00000 \n", + "356 1.00000 \n", + ".. ... \n", + "251 0.77367 \n", + "252 0.77367 \n", + "253 0.77367 \n", + "254 0.77367 \n", + "255 0.77367 \n", + "\n", + "Indicator ... Urban population growth (annual %) \\\n", + "352 ... 1.000000 \n", + "353 ... 0.885023 \n", + "354 ... 0.837277 \n", + "355 ... 0.798935 \n", + "356 ... 0.602296 \n", + ".. ... ... \n", + "251 ... 2.593482 \n", + "252 ... 2.369825 \n", + "253 ... 2.167979 \n", + "254 ... 1.955807 \n", + "255 ... 1.955807 \n", + "\n", + "Indicator Urban population living in areas where elevation is below 5 meters (% of total population) \\\n", + "352 1.000000 \n", + "353 0.999209 \n", + "354 0.998418 \n", + "355 0.997627 \n", + "356 0.996836 \n", + ".. ... \n", + "251 1.386317 \n", + "252 1.386317 \n", + "253 1.386317 \n", + "254 1.386317 \n", + "255 1.386317 \n", + "\n", + "Indicator Vulnerable employment, female (% of female employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.007018 \n", + "355 1.026316 \n", + "356 0.984210 \n", + ".. ... \n", + "251 8.163158 \n", + "252 8.021053 \n", + "253 7.852632 \n", + "254 7.852632 \n", + "255 7.852632 \n", + "\n", + "Indicator Vulnerable employment, male (% of male employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.027083 \n", + "355 1.050000 \n", + "356 1.083333 \n", + ".. ... \n", + "251 8.947917 \n", + "252 8.737500 \n", + "253 8.504167 \n", + "254 8.504167 \n", + "255 8.504167 \n", + "\n", + "Indicator Vulnerable employment, total (% of total employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.019342 \n", + "355 1.040619 \n", + "356 1.038685 \n", + ".. ... \n", + "251 8.613153 \n", + "252 8.435203 \n", + "253 8.228240 \n", + "254 8.228240 \n", + "255 8.228240 \n", + "\n", + "Indicator Wage and salaried workers, female (% of female employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 0.998479 \n", + "355 0.995872 \n", + "356 0.995437 \n", + ".. ... \n", + "251 0.569582 \n", + "252 0.578055 \n", + "253 0.588267 \n", + "254 0.588267 \n", + "255 0.588267 \n", + "\n", + "Indicator Wage and salaried workers, male (% of male employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 0.994164 \n", + "355 0.990349 \n", + "356 0.984626 \n", + ".. ... \n", + "251 0.607900 \n", + "252 0.618786 \n", + "253 0.631579 \n", + "254 0.631579 \n", + "255 0.631579 \n", + "\n", + "Indicator Wage and salaried workers, total (% of total employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 0.996015 \n", + "355 0.992693 \n", + "356 0.989372 \n", + ".. ... \n", + "251 0.591166 \n", + "252 0.601018 \n", + "253 0.612643 \n", + "254 0.612643 \n", + "255 0.612643 \n", + "\n", + "Indicator Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.027882 \n", + "356 1.055765 \n", + ".. ... \n", + "251 0.391767 \n", + "252 0.391767 \n", + "253 0.391767 \n", + "254 0.391767 \n", + "255 0.391767 \n", + "\n", + "Indicator Women Business and the Law Index Score (scale 1-100) \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.061404 \n", + "252 1.061404 \n", + "253 1.061404 \n", + "254 1.061404 \n", + "255 1.061404 \n", + "\n", + "[1536 rows x 1060 columns]" ] }, - "execution_count": 34, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data['Continent']=data['Country'].map(all_countries)\n", - "Goldendataframe=data\n", - "Goldendataframe" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With that all, we export our dataframe all-in-one and by the continent category." - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [], - "source": [ - "Goldendataframe.to_csv(os.getcwd()+'/Data/GoldenDataFrame.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [], - "source": [ - "for region, data in Goldendataframe.groupby('Continent'):\n", - " data.to_csv(os.getcwd()+'/Data/{}.csv'.format(region))" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [], - "source": [ - "columns=Goldendataframe.columns.values.tolist()\n", - "clist=Goldendataframe['Country'].unique()\n", - "common=['Unnamed: 0','Country','Year']" + "for i in range(2,len(columns)):\n", + " data[columns[i]]=data[columns[i]]/data.iloc[0,i]\n", + "data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In the following cell, we have defined a function that will allow us to calculate the different posibilities of relations: cuadratic, cubic and logaritmic." - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [], - "source": [ - "def multcolumn(frame):\n", - " for u in range(2, len(columns)-1):\n", - " name=columns[u]+'.l'\n", - " name2=columns[u]+'.^2'\n", - " name3=columns[u]+'.^3'\n", - " namelog=columns[u]+'.log'\n", - " frame.loc[:,name2] = frame[columns[u]]**2\n", - " frame.loc[:,name3] = frame[columns[u]]**3\n", - " frame.loc[:,namelog] = np.log(frame[columns[u]])\n", - " frame.rename(columns={columns[u]:name}, inplace=True)" + "For the next part of analyzing this data, we think it is gonna be interesting to have it classify by the categories of the Country groups defined before, to which we call \"Continent\". This category is useful as it groups the nations with similar economies or geographical proximity, so we can extract common conclusions from them." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Moreover, we want to know the correlation between all the variables, so to acomplish this, we have created the following loop, which will help us create a new dataframe where we will have: the *Indicator*, the *Type* of relation, the value of the *R^2*, its *Behaviour*, the *Country* and the *Continent*." + "We create a dictionary with the regions and the countries included in each one. Where we will relate the countries and regions so then we can apply the .map function and arrive to the final dataframe." ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, - "outputs": [], - "source": [ - "df= pd.read_csv (os.getcwd()+'/Data/'+'GoldenDataFrame.csv')\n", - "multcolumn(df)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Firstly we are going to create two lists for the variables, which their p-value is under 0.05 for each correlation, so later on, we can calculate only the correlations of those variables." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dat=df.loc[df.loc[:, 'Country'] == clist[0]]\n", - "listacorpe=[]\n", - "listacorsp=[]\n", - "clmns=dat.columns.values.tolist()\n", - "for c in range(0, len(clmns)):\n", - " if dat[clmns[c]].isna().sum()>=1:\n", - " del(dat[clmns[c]])\n", - "pilares=dat.columns.values.tolist()\n", - "for u in range(0,len(pilares)):\n", - " if is_numeric_dtype(dat[pilares[u]]):\n", - " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$).l'])\n", - " if pvalue<=0.05:\n", - " listacorpe.append(pilares[u])\n", - " else:\n", - " pass\n", - " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$).l'])\n", - " if pvalue<=0.05:\n", - " listacorsp.append(pilares[u])\n", - " else:\n", - " pass\n", - " else:\n", - " pass" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Secondly, we need to calculate the correlation table for each country, therefore we use the basic function `corr()` which provides either the Pearson correlation table or the Spearman correlation table, as well as a filter for the countries." - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [], - "source": [ - "dat=df.loc[df.loc[:, 'Country'] == clist[0]]\n", - "\n", - "datp=dat[dat.columns[dat.columns.isin(listacorpe)]]\n", - "corp=datp.corr('pearson')\n", - "\n", - "datsp=dat[dat.columns[dat.columns.isin(listacorsp)]]\n", - "cors=datsp.corr('spearman')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Then we calculate the coefficient of determination which is the correlation squared." - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'DEU': 'Europe', 'FRA': 'Europe', 'SWE': 'Europe', 'GBR': 'Europe', 'ESP': 'Europe', 'HRV': 'Europe', 'POL': 'Europe', 'GRC': 'Europe', 'AUT': 'Europe', 'NLD': 'Europe', 'IRQ': 'Persian Gulf', 'QAT': 'Persian Gulf', 'ARE': 'Persian Gulf', 'SAU': 'Persian Gulf', 'AZE': 'Persian Gulf', 'YEM': 'Persian Gulf', 'YDR': 'Persian Gulf', 'OMN': 'Persian Gulf', 'DZA': 'North Africa', 'EGY': 'North Africa', 'LBY': 'North Africa', 'ISR': 'North Africa', 'TUR': 'North Africa', 'MAR': 'North Africa', 'SEN': 'South Africa', 'ZAF': 'South Africa', 'LBR': 'South Africa', 'MOZ': 'South Africa', 'CMR': 'South Africa', 'NGA': 'South Africa', 'GHA': 'South Africa', 'BGD': 'Asia', 'IND': 'Asia', 'VNM': 'Asia', 'THA': 'Asia', 'IDN': 'Asia', 'PHL': 'Asia', 'KOR': 'Asia', 'MEX': 'Latam', 'BRA': 'Latam', 'ARG': 'Latam', 'PER': 'Latam', 'VEN': 'Latam', 'COL': 'Latam', 'CHL': 'Latam', 'PAN': 'Latam', 'CRI': 'Latam', 'USA': 'Pair', 'CHN': 'Pair'}\n" + ] + } + ], "source": [ - "corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$).l']**2\n", + "countries_by_region = {\n", + " \"Europe\": ('DEU','FRA','SWE','GBR','ESP','HRV','POL','GRC','AUT','NLD'),\n", + " 'Persian Gulf': ('IRQ','QAT','ARE','SAU','AZE','YEM','YDR','OMN'),\n", + " 'North Africa':('DZA','EGY','LBY','ISR','TUR','MAR'),\n", + " 'South Africa':('SEN','ZAF','LBR','MOZ','CMR','NGA','GHA'),\n", + " 'Asia':('BGD','IND','VNM','THA','IDN','PHL','KOR'),\n", + " 'Latam':('MEX','BRA','ARG','PER','VEN','COL','CHL','PAN','CRI'),\n", + " 'Pair':('USA','CHN')\n", + " }\n", "\n", - "cors.loc[:,'R^2 Spearman'] = cors['GDP (current US$).l']**2" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Moreover, we are going to create new columns to know which *Indicator* are we talking about, and the *Type* of correlation that is being analyzed (linear, cuadratic, cubic or logarithmic)" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [], - "source": [ - "corp.loc[:,'Indicator']=corp.index\n", - "corp[['Indicator','Type']]=corp.Indicator.str.split('.',1, expand=True)\n", + "all_countries = {}\n", + "for region in countries_by_region.keys():\n", + " for country in countries_by_region[region]:\n", + " all_countries[country] = region\n", "\n", - "cors.loc[:,'Indicator']=cors.index\n", - "cors[['Indicator','Type']]=cors.Indicator.str.split('.',1, expand=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we can apply the filter we have consider that is enough, R^2>=0.75 to filter the correlations." + "print(all_countries)" ] }, { "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [], - "source": [ - "corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$).l']]\n", - "corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= 0.75]\n", - "\n", - "corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", - "corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.6]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Furthermore, we add all the columns that we have created into a data frame, thanks to the following cell." - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [], - "source": [ - "idp=corpcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corpcolumn['R^2 Pearson']\n", - "corpcolumn[idp]\n", - "maxp_df=pd.DataFrame(corpcolumn[idp])\n", - "\n", - "ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", - "corscolumn[ids]\n", - "maxs_df=pd.DataFrame(corscolumn[ids])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here, we conmute the values, by expressions. For example if the correlation is positive, we want in the new column called *Behaviour* the word Positive. Or for the *Type* column if the greatest correlation is cuadratic we want to put, Cuadratic." - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [], - "source": [ - "maxp_df['Behaviour']=np.where(maxp_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", - "maxp_df['Type']=maxp_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", - "maxp_df['Country']= clist[0]\n", - "\n", - "maxs_df['Behaviour']=np.where(maxs_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", - "maxs_df['Type']=maxs_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", - "maxs_df['Country']= clist[0]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In addition, we also drop the columns which do not add any value, as *GDP*, *Year*, and *Unnamed:0*." - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [], - "source": [ - "maxp_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", - "maxp_df=maxp_df.reset_index(drop=True)\n", - "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Year'].index)\n", - "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='GDP (current US$)'].index)\n", - "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Unnamed: 0'].index)\n", - "\n", - "maxs_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", - "maxs_df=maxs_df.reset_index(drop=True)\n", - "maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", - "maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='GDP (current US$)'].index)\n", - "maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", - "maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "And finally we sort the values in descending order by the column *R^2 Pearson*." - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [], - "source": [ - "maxp_df=maxp_df.sort_values(by = 'R^2 Pearson',ascending = False)\n", - "pearsondf= maxp_df\n", - "spearmandf=maxs_df" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "So, we can do it with all the countries and create just one dataframe." - ] - }, - { - "cell_type": "code", - "execution_count": 48, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -4472,59 +5272,149 @@ "\n", " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - 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IndicatorTypeR^2 PearsonBehaviourCountryYearAccess to clean fuels and technologies for cooking (% of population)Access to clean fuels and technologies for cooking, rural (% of rural population)Access to clean fuels and technologies for cooking, urban (% of urban population)Access to electricity (% of population)Access to electricity, rural (% of rural population)Access to electricity, urban (% of urban population)Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)...Urban population living in areas where elevation is below 5 meters (% of total population)Vulnerable employment, female (% of female employment) (modeled ILO estimate)Vulnerable employment, male (% of male employment) (modeled ILO estimate)Vulnerable employment, total (% of total employment) (modeled ILO estimate)Wage and salaried workers, female (% of female employment) (modeled ILO estimate)Wage and salaried workers, male (% of male employment) (modeled ILO estimate)Wage and salaried workers, total (% of total employment) (modeled ILO estimate)Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)Women Business and the Law Index Score (scale 1-100)Continent
5Exports-G&SNone0.954928Positive352DEU19901.0001.0001.0001.01.01.01.000001.00000...1.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000001.000000Europe
7Health services useNone0.916594Positive353DEU19911.0001.0001.0001.01.01.01.000001.00000...0.9992091.0000001.0000001.0000001.0000001.0000001.0000001.0000001.000000Europe
4Exports-Commercial servicesNone0.911725Positive354DEU19921.0001.0001.0001.01.01.01.000001.00000...0.9984181.0070181.0270831.0193420.9984790.9941640.9960151.0000001.000000Europe
10Employment-servicesCuadratic0.883525Positive355DEU19931.0001.0001.0001.01.01.01.000001.00000...0.9976271.0263161.0500001.0406190.9958720.9903490.9926931.0278821.000000Europe
12Alcohol per capitaCubic0.875820Negative356DEU19941.0001.0001.0001.01.01.01.000001.00000...0.9968360.9842101.0833331.0386850.9954370.9846260.9893721.0557651.000000Europe
......................................................
6SuicideNone0.922759Negative251CHN20170.7320.5520.8621.01.01.00.817550.77367...1.3863178.1631588.9479178.6131530.5695820.6079000.5911660.3917671.061404Pair
5Renewable electricityNone0.912560Positive252CHN20180.7560.5900.8741.01.01.00.817550.77367...1.3863178.0210538.7375008.4352030.5780550.6187860.6010180.3917671.061404Pair
2Exports-Commercial servicesNone0.879177Positive253CHN20190.7760.6190.8841.01.01.00.817550.77367...1.3863177.8526328.5041678.2282400.5882670.6315790.6126430.3917671.061404Pair
14Alcohol per capitaCuadratic0.867314Positive254CHN20200.7940.6520.8941.01.01.00.817550.77367...1.3863177.8526328.5041678.2282400.5882670.6315790.6126430.3917671.061404Pair
10Literacy rateCubic0.840397Positive255CHN20210.7940.6520.8941.01.01.00.817550.77367...1.3863177.8526328.5041678.2282400.5882670.6315790.6126430.3917671.061404Pair
\n", - "

444 rows × 6 columns

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1536 rows × 1061 columns

\n", "" ], "text/plain": [ - " Indicator Type R^2 Pearson Behaviour Country \\\n", - "5 Exports-G&S None 0.954928 Positive DEU \n", - "7 Health services use None 0.916594 Positive DEU \n", - "4 Exports-Commercial services None 0.911725 Positive DEU \n", - "10 Employment-services Cuadratic 0.883525 Positive DEU \n", - "12 Alcohol per capita Cubic 0.875820 Negative DEU \n", - ".. ... ... ... ... ... \n", - "6 Suicide None 0.922759 Negative CHN \n", - "5 Renewable electricity None 0.912560 Positive CHN \n", - "2 Exports-Commercial services None 0.879177 Positive CHN \n", - "14 Alcohol per capita Cuadratic 0.867314 Positive CHN \n", - "10 Literacy rate Cubic 0.840397 Positive CHN \n", - "\n", - " Continent \n", - "5 Europe \n", - "7 Europe \n", - "4 Europe \n", - "10 Europe \n", - "12 Europe \n", - ".. ... \n", - "6 Pair \n", - "5 Pair \n", - "2 Pair \n", - "14 Pair \n", - "10 Pair \n", - "\n", - "[444 rows x 6 columns]" + "Indicator Country Year \\\n", + "352 DEU 1990 \n", + "353 DEU 1991 \n", + "354 DEU 1992 \n", + "355 DEU 1993 \n", + "356 DEU 1994 \n", + ".. ... ... \n", + "251 CHN 2017 \n", + "252 CHN 2018 \n", + "253 CHN 2019 \n", + "254 CHN 2020 \n", + "255 CHN 2021 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", + "352 1.000 \n", + "353 1.000 \n", + "354 1.000 \n", + "355 1.000 \n", + "356 1.000 \n", + ".. ... \n", + "251 0.732 \n", + "252 0.756 \n", + "253 0.776 \n", + "254 0.794 \n", + "255 0.794 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", + "352 1.000 \n", + "353 1.000 \n", + "354 1.000 \n", + "355 1.000 \n", + "356 1.000 \n", + ".. ... \n", + "251 0.552 \n", + "252 0.590 \n", + "253 0.619 \n", + "254 0.652 \n", + "255 0.652 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", + "352 1.000 \n", + "353 1.000 \n", + "354 1.000 \n", + "355 1.000 \n", + "356 1.000 \n", + ".. ... \n", + "251 0.862 \n", + "252 0.874 \n", + "253 0.884 \n", + "254 0.894 \n", + "255 0.894 \n", + "\n", + "Indicator Access to electricity (% of population) \\\n", + "352 1.0 \n", + "353 1.0 \n", + "354 1.0 \n", + "355 1.0 \n", + "356 1.0 \n", + ".. ... \n", + "251 1.0 \n", + "252 1.0 \n", + "253 1.0 \n", + "254 1.0 \n", + "255 1.0 \n", + "\n", + "Indicator Access to electricity, rural (% of rural population) \\\n", + "352 1.0 \n", + "353 1.0 \n", + "354 1.0 \n", + "355 1.0 \n", + "356 1.0 \n", + ".. ... \n", + "251 1.0 \n", + "252 1.0 \n", + "253 1.0 \n", + "254 1.0 \n", + "255 1.0 \n", + "\n", + "Indicator Access to electricity, urban (% of urban population) \\\n", + "352 1.0 \n", + "353 1.0 \n", + "354 1.0 \n", + "355 1.0 \n", + "356 1.0 \n", + ".. ... \n", + "251 1.0 \n", + "252 1.0 \n", + "253 1.0 \n", + "254 1.0 \n", + "255 1.0 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "352 1.00000 \n", + "353 1.00000 \n", + "354 1.00000 \n", + "355 1.00000 \n", + "356 1.00000 \n", + ".. ... \n", + "251 0.81755 \n", + "252 0.81755 \n", + "253 0.81755 \n", + "254 0.81755 \n", + "255 0.81755 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) \\\n", + "352 1.00000 \n", + "353 1.00000 \n", + "354 1.00000 \n", + "355 1.00000 \n", + "356 1.00000 \n", + ".. ... \n", + "251 0.77367 \n", + "252 0.77367 \n", + "253 0.77367 \n", + "254 0.77367 \n", + "255 0.77367 \n", + "\n", + "Indicator ... \\\n", + "352 ... \n", + "353 ... \n", + "354 ... \n", + "355 ... \n", + "356 ... \n", + ".. ... \n", + "251 ... \n", + "252 ... \n", + "253 ... \n", + "254 ... \n", + "255 ... \n", + "\n", + "Indicator Urban population living in areas where elevation is below 5 meters (% of total population) \\\n", + "352 1.000000 \n", + "353 0.999209 \n", + "354 0.998418 \n", + "355 0.997627 \n", + "356 0.996836 \n", + ".. ... \n", + "251 1.386317 \n", + "252 1.386317 \n", + "253 1.386317 \n", + "254 1.386317 \n", + "255 1.386317 \n", + "\n", + "Indicator Vulnerable employment, female (% of female employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.007018 \n", + "355 1.026316 \n", + "356 0.984210 \n", + ".. ... \n", + "251 8.163158 \n", + "252 8.021053 \n", + "253 7.852632 \n", + "254 7.852632 \n", + "255 7.852632 \n", + "\n", + "Indicator Vulnerable employment, male (% of male employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.027083 \n", + "355 1.050000 \n", + "356 1.083333 \n", + ".. ... \n", + "251 8.947917 \n", + "252 8.737500 \n", + "253 8.504167 \n", + "254 8.504167 \n", + "255 8.504167 \n", + "\n", + "Indicator Vulnerable employment, total (% of total employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.019342 \n", + "355 1.040619 \n", + "356 1.038685 \n", + ".. ... \n", + "251 8.613153 \n", + "252 8.435203 \n", + "253 8.228240 \n", + "254 8.228240 \n", + "255 8.228240 \n", + "\n", + "Indicator Wage and salaried workers, female (% of female employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 0.998479 \n", + "355 0.995872 \n", + "356 0.995437 \n", + ".. ... \n", + "251 0.569582 \n", + "252 0.578055 \n", + "253 0.588267 \n", + "254 0.588267 \n", + "255 0.588267 \n", + "\n", + "Indicator Wage and salaried workers, male (% of male employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 0.994164 \n", + "355 0.990349 \n", + "356 0.984626 \n", + ".. ... \n", + "251 0.607900 \n", + "252 0.618786 \n", + "253 0.631579 \n", + "254 0.631579 \n", + "255 0.631579 \n", + "\n", + "Indicator Wage and salaried workers, total (% of total employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 0.996015 \n", + "355 0.992693 \n", + "356 0.989372 \n", + ".. ... \n", + "251 0.591166 \n", + "252 0.601018 \n", + "253 0.612643 \n", + "254 0.612643 \n", + "255 0.612643 \n", + "\n", + "Indicator Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.027882 \n", + "356 1.055765 \n", + ".. ... \n", + "251 0.391767 \n", + "252 0.391767 \n", + "253 0.391767 \n", + "254 0.391767 \n", + "255 0.391767 \n", + "\n", + "Indicator Women Business and the Law Index Score (scale 1-100) Continent \n", + "352 1.000000 Europe \n", + "353 1.000000 Europe \n", + "354 1.000000 Europe \n", + "355 1.000000 Europe \n", + "356 1.000000 Europe \n", + ".. ... ... \n", + "251 1.061404 Pair \n", + "252 1.061404 Pair \n", + "253 1.061404 Pair \n", + "254 1.061404 Pair \n", + "255 1.061404 Pair \n", + "\n", + "[1536 rows x 1061 columns]" ] }, - "execution_count": 48, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "for i in range(1,len(clist)):\n", - " dat=df.loc[df.loc[:, 'Country'] == clist[i]]\n", - " listacorpe=[]\n", - " listacorsp=[]\n", - " clmns=dat.columns.values.tolist()\n", - " for c in range(0, len(clmns)):\n", - " if dat[clmns[c]].isna().sum()>=1:\n", - " del(dat[clmns[c]])\n", - " pilares=dat.columns.values.tolist()\n", - " for u in range(0,len(pilares)):\n", - " if is_numeric_dtype(dat[pilares[u]]):\n", - " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$).l'])\n", - " if pvalue<=0.05:\n", - " listacorpe.append(pilares[u])\n", - " else:\n", - " pass\n", - " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$).l'])\n", - " if pvalue<=0.05:\n", - " listacorsp.append(pilares[u])\n", - " else:\n", - " pass\n", - " else:\n", - " pass\n", - " \n", - " dat=df.loc[df.loc[:, 'Country'] == clist[i]]\n", - "\n", - " datp=dat[dat.columns[dat.columns.isin(listacorpe)]]\n", - " corp=datp.corr('pearson')\n", - "\n", - " datsp=dat[dat.columns[dat.columns.isin(listacorsp)]]\n", - " cors=datsp.corr('spearman')\n", - "\n", - "\n", - " corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$).l']**2\n", - "\n", - " cors.loc[:,'R^2 Spearman'] = cors['GDP (current US$).l']**2\n", - "\n", - "\n", - " corp.loc[:,'Indicator']=corp.index\n", - " corp[['Indicator','Type']]=corp.Indicator.str.split('.',1, expand=True)\n", - "\n", - " cors.loc[:,'Indicator']=cors.index\n", - " cors[['Indicator','Type']]=cors.Indicator.str.split('.',1, expand=True)\n", - "\n", - "\n", - " corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$).l']]\n", - " corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= 0.75]\n", - " \n", - " corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", - " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.6]\n", - "\n", - "\n", - " idp=corpcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corpcolumn['R^2 Pearson']\n", - " corpcolumn[idp]\n", - " maxp_df=pd.DataFrame(corpcolumn[idp])\n", - "\n", - " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", - " corscolumn[ids]\n", - " maxs_df=pd.DataFrame(corscolumn[ids])\n", - "\n", - "\n", - " maxp_df['Behaviour']=np.where(maxp_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", - " maxp_df['Type']=maxp_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", - " maxp_df['Country']= clist[i]\n", - "\n", - " maxs_df['Behaviour']=np.where(maxs_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", - " maxs_df['Type']=maxs_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", - " maxs_df['Country']= clist[i]\n", - "\n", - "\n", - " maxp_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", - " maxp_df=maxp_df.reset_index(drop=True)\n", - " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Year'].index)\n", - " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='GDP (current US$)'].index)\n", - " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Unnamed: 0'].index)\n", - "\n", - " maxs_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", - " maxs_df=maxs_df.reset_index(drop=True)\n", - " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", - " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='GDP (current US$)'].index)\n", - " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", - " maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)\n", - "\n", - "\n", - " maxp_df=maxp_df.sort_values(by = 'R^2 Pearson',ascending = False)\n", - " pearsondf= maxp_df\n", - " spearmandf=maxs_df\n", - "\n", - "display(spearmandf.merge(pearsondf, left_on=('Indicator', 'Country','Type','Behaviour'), right_on=('Indicator', 'Country','Type','Behaviour')))" + "data['Continent']=data['Country'].map(all_countries)\n", + "Goldendataframe=data\n", + "Goldendataframe" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Now that we’ve loaded the data, we can start right away to create widgets. These widgets are essentials to add interactivity to our visualizations. We’re going to use two widgets: both, multiple selection widgets. To create these widgets, we can use `ipywidgets` library that is available for Jupyter Notebook.\n", - "\n", - "The first widget that we are going to create is the multiple selection widget. We can do this by using `SelectMultiple()attribute` from `ipywidgets`. With this widget, we have the option to visualize the R^2 only in particular selection of indicators instead of all.\n", - "\n", - "The first argument that we should specify is `options` , which should contain the list of available options of our variable (in our case different indicators). The next one is `value` , which should contain the variable values that we want to display as default, and then `description` is for the text field to describe the name of the widget.The rest of options are just visual details." + "With that all, we export our dataframe all-in-one and by the continent category." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "Goldendataframe.to_csv(os.getcwd()+'/Data/GoldenDataFrame.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "for region, data in Goldendataframe.groupby('Continent'):\n", + " data.to_csv(os.getcwd()+'/Data/{}.csv'.format(region))" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "columns=Goldendataframe.columns.values.tolist()\n", + "clist=Goldendataframe['Country'].unique()\n", + "common=['Unnamed: 0','Country','Year']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the following cell, we have defined a function that will allow us to calculate the different posibilities of relations: cuadratic, cubic and logaritmic." + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "def multcolumn(frame):\n", + " for u in range(2, len(columns)-1):\n", + " name=columns[u]+'.l'\n", + " name2=columns[u]+'.^2'\n", + " name3=columns[u]+'.^3'\n", + " namelog=columns[u]+'.log'\n", + " frame.loc[:,name2] = frame[columns[u]]**2\n", + " frame.loc[:,name3] = frame[columns[u]]**3\n", + " frame.loc[:,namelog] = np.log(frame[columns[u]])\n", + " frame.rename(columns={columns[u]:name}, inplace=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Moreover, we want to know the correlation between all the variables, so to acomplish this, we have created the following loop, which will help us create a new dataframe where we will have: the *Indicator*, the *Type* of relation, the value of the *R^2*, its *Behaviour*, the *Country* and the *Continent*." + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "df= pd.read_csv (os.getcwd()+'/Data/'+'GoldenDataFrame.csv')\n", + "multcolumn(df)\n" ] }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 47, "metadata": {}, "outputs": [ { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "db323d6bd0264921b895b26f4aff87d8", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(SelectMultiple(description='Indicator', index=(0,), layout=Layout(height='80px', width='…" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "coloraxis": "coloraxis", - "customdata": [ - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Positive" - ] - ], - "geo": "geo", - "hovertemplate": "%{hovertext}

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1.126577 \n", + "1532 1.126577 \n", + "1533 1.126577 \n", + "1534 1.126577 \n", + "1535 1.126577 \n", + "\n", + " Women Business and the Law Index Score (scale 1-100).^3 \\\n", + "0 1.000000 \n", + "1 1.000000 \n", + "2 1.000000 \n", + "3 1.000000 \n", + "4 1.000000 \n", + "... ... \n", + "1531 1.195753 \n", + "1532 1.195753 \n", + "1533 1.195753 \n", + "1534 1.195753 \n", + "1535 1.195753 \n", + "\n", + " Women Business and the Law Index Score (scale 1-100).log \n", + "0 0.000000 \n", + "1 0.000000 \n", + "2 0.000000 \n", + "3 0.000000 \n", + "4 0.000000 \n", + "... ... \n", + "1531 0.059592 \n", + "1532 0.059592 \n", + "1533 0.059592 \n", + "1534 0.059592 \n", + "1535 0.059592 \n", + "\n", + "[1536 rows x 4236 columns]" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Firstly we are going to create two lists for the variables, which their p-value is under 0.05 for each correlation, so later on, we can calculate only the correlations of those variables." + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "dat=df.loc[df.loc[:, 'Country'] == clist[0]]\n", + "listacorpe=[]\n", + "listacorsp=[]\n", + "clmns=dat.columns.values.tolist()\n", + "dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", + "for c in range(0, len(clmns)):\n", + " if dat[clmns[c]].isna().sum()>=1:\n", + " del(dat[clmns[c]])\n", + "pilares=dat.columns.values.tolist()\n", + "for u in range(0,len(pilares)):\n", + " if is_numeric_dtype(dat[pilares[u]]):\n", + " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$).l'])\n", + " if pvalue<=0.05:\n", + " listacorpe.append(pilares[u])\n", + " else:\n", + " pass\n", + " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$).l'])\n", + " if pvalue<=0.05:\n", + " listacorsp.append(pilares[u])\n", + " else:\n", + " pass\n", + " else:\n", + " pass" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Secondly, we need to calculate the correlation table for each country, therefore we use the basic function `corr()` which provides either the Pearson correlation table or the Spearman correlation table, as well as a filter for the countries." + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "dat=df.loc[df.loc[:, 'Country'] == clist[0]]\n", + "\n", + "datp=dat[dat.columns[dat.columns.isin(listacorpe)]]\n", + "corp=datp.corr('pearson')\n", + "\n", + "datsp=dat[dat.columns[dat.columns.isin(listacorsp)]]\n", + "cors=datsp.corr('spearman')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then we calculate the coefficient of determination which is the correlation squared." + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$).l']**2\n", + "\n", + "cors.loc[:,'R^2 Spearman'] = cors['GDP (current US$).l']**2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Moreover, we are going to create new columns to know which *Indicator* are we talking about, and the *Type* of correlation that is being analyzed (linear, cuadratic, cubic or logarithmic)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "corp.loc[:,'Indicator']=corp.index\n", + "corp[['Indicator','Type']]=corp.Indicator.str.split('.',1, expand=True)\n", + "\n", + "cors.loc[:,'Indicator']=cors.index\n", + "cors[['Indicator','Type']]=cors.Indicator.str.split('.',1, expand=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we can apply the filter we have consider that is enough, R^2>=0.75 to filter the correlations." + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$).l']]\n", + "corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= 0.75]\n", + "\n", + "corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", + "corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.6]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Furthermore, we add all the columns that we have created into a data frame, thanks to the following cell." + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "idp=corpcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corpcolumn['R^2 Pearson']\n", + "corpcolumn[idp]\n", + "maxp_df=pd.DataFrame(corpcolumn[idp])\n", + "\n", + "ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", + "corscolumn[ids]\n", + "maxs_df=pd.DataFrame(corscolumn[ids])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here, we conmute the values, by expressions. For example if the correlation is positive, we want in the new column called *Behaviour* the word Positive. Or for the *Type* column if the greatest correlation is cuadratic we want to put, Cuadratic." + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "maxp_df['Behaviour']=np.where(maxp_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", + "maxp_df['Type']=maxp_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", + "maxp_df['Country']= clist[0]\n", + "\n", + "maxs_df['Behaviour']=np.where(maxs_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", + "maxs_df['Type']=maxs_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", + "maxs_df['Country']= clist[0]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In addition, we also drop the columns which do not add any value, as *GDP*, *Year*, and *Unnamed:0*." + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "maxp_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", + "maxp_df=maxp_df.reset_index(drop=True)\n", + "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Year'].index)\n", + "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='GDP (current US$)'].index)\n", + "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Unnamed: 0'].index)\n", + "\n", + "maxs_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", + "maxs_df=maxs_df.reset_index(drop=True)\n", + "maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", + "maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='GDP (current US$)'].index)\n", + "maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", + "maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And finally we sort the values in descending order by the column *R^2 Pearson*." + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "maxp_df_deu=maxp_df.sort_values(by = 'R^2 Pearson',ascending = False)\n", + "pearsondf= maxp_df_deu\n", + "spearmandf=maxs_df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So, we can do it with all the countries and create just one dataframe." + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorR^2 SpearmanTypeBehaviourCountryR^2 Pearson
0Gross value added at basic prices (GVA) (curre...0.996519LinearPositiveDEU0.999851
1Adjusted net national income (current US$)0.996519LinearPositiveDEU0.999141
2GNI (current US$)0.996337LinearPositiveDEU0.999362
3Gross national expenditure (current US$)0.990490LinearPositiveDEU0.997181
4GDP per capita (current US$)0.988302LinearPositiveDEU0.997925
.....................
17494Primary completion rate, female (% of relevant...0.632375CubicPositiveCHN0.760659
17495Account ownership at a financial institution o...0.625751LogarithmicPositiveCHN0.857413
17496Account ownership at a financial institution o...0.625751LogarithmicPositiveCHN0.851776
17497Account ownership at a financial institution o...0.625751LogarithmicPositiveCHN0.842567
17498Commercial bank branches (per 100,000 adults)0.610583LogarithmicPositiveCHN0.759273
\n", + "

17499 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " Indicator R^2 Spearman \\\n", + "0 Gross value added at basic prices (GVA) (curre... 0.996519 \n", + "1 Adjusted net national income (current US$) 0.996519 \n", + "2 GNI (current US$) 0.996337 \n", + "3 Gross national expenditure (current US$) 0.990490 \n", + "4 GDP per capita (current US$) 0.988302 \n", + "... ... ... \n", + "17494 Primary completion rate, female (% of relevant... 0.632375 \n", + "17495 Account ownership at a financial institution o... 0.625751 \n", + "17496 Account ownership at a financial institution o... 0.625751 \n", + "17497 Account ownership at a financial institution o... 0.625751 \n", + "17498 Commercial bank branches (per 100,000 adults) 0.610583 \n", + "\n", + " Type Behaviour Country R^2 Pearson \n", + "0 Linear Positive DEU 0.999851 \n", + "1 Linear Positive DEU 0.999141 \n", + "2 Linear Positive DEU 0.999362 \n", + "3 Linear Positive DEU 0.997181 \n", + "4 Linear Positive DEU 0.997925 \n", + "... ... ... ... ... \n", + "17494 Cubic Positive CHN 0.760659 \n", + "17495 Logarithmic Positive CHN 0.857413 \n", + "17496 Logarithmic Positive CHN 0.851776 \n", + "17497 Logarithmic Positive CHN 0.842567 \n", + "17498 Logarithmic Positive CHN 0.759273 \n", + "\n", + "[17499 rows x 6 columns]" + ] }, "metadata": {}, "output_type": "display_data" } ], + "source": [ + "pearsondf\n", + "spearmandf\n", + "for i in range(1,len(clist)):\n", + " dat=df.loc[df.loc[:, 'Country'] == clist[i]]\n", + " listacorpe=[]\n", + " listacorsp=[]\n", + " clmns=dat.columns.values.tolist()\n", + " dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", + " for c in range(0, len(clmns)):\n", + " if dat[clmns[c]].isna().sum()>=1:\n", + " del(dat[clmns[c]])\n", + " pilares=dat.columns.values.tolist()\n", + " for u in range(0,len(pilares)):\n", + " if is_numeric_dtype(dat[pilares[u]]):\n", + " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$).l'])\n", + " if pvalue<=0.05:\n", + " listacorpe.append(pilares[u])\n", + " else:\n", + " pass\n", + " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$).l'])\n", + " if pvalue<=0.05:\n", + " listacorsp.append(pilares[u])\n", + " else:\n", + " pass\n", + " else:\n", + " pass\n", + " \n", + " dat=df.loc[df.loc[:, 'Country'] == clist[i]]\n", + "\n", + " datp=dat[dat.columns[dat.columns.isin(listacorpe)]]\n", + " corp=datp.corr('pearson')\n", + "\n", + " datsp=dat[dat.columns[dat.columns.isin(listacorsp)]]\n", + " cors=datsp.corr('spearman')\n", + "\n", + "\n", + " corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$).l']**2\n", + "\n", + " cors.loc[:,'R^2 Spearman'] = cors['GDP (current US$).l']**2\n", + "\n", + "\n", + " corp.loc[:,'Indicator']=corp.index\n", + " corp[['Indicator','Type']]=corp.Indicator.str.split('.',1, expand=True)\n", + "\n", + " cors.loc[:,'Indicator']=cors.index\n", + " cors[['Indicator','Type']]=cors.Indicator.str.split('.',1, expand=True)\n", + "\n", + "\n", + " corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$).l']]\n", + " corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= 0.75]\n", + " \n", + " corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.6]\n", + "\n", + "\n", + " idp=corpcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corpcolumn['R^2 Pearson']\n", + " corpcolumn[idp]\n", + " maxp_df=pd.DataFrame(corpcolumn[idp])\n", + "\n", + " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", + " corscolumn[ids]\n", + " maxs_df=pd.DataFrame(corscolumn[ids])\n", + "\n", + "\n", + " maxp_df['Behaviour']=np.where(maxp_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", + " maxp_df['Type']=maxp_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", + " maxp_df['Country']= clist[i]\n", + "\n", + " maxs_df['Behaviour']=np.where(maxs_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", + " maxs_df['Type']=maxs_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", + " maxs_df['Country']= clist[i]\n", + "\n", + "\n", + " maxp_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", + " maxp_df=maxp_df.reset_index(drop=True)\n", + " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Year'].index)\n", + " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='GDP (current US$)'].index)\n", + " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Unnamed: 0'].index)\n", + "\n", + " maxs_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", + " maxs_df=maxs_df.reset_index(drop=True)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='GDP (current US$)'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", + " maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)\n", + "\n", + "\n", + " maxp_df=maxp_df.sort_values(by = 'R^2 Pearson',ascending = False)\n", + " pearsondf=pd.concat((pearsondf, maxp_df), axis = 0)\n", + " spearmandf=pd.concat((spearmandf, maxs_df), axis = 0)\n", + "\n", + "corrtable=spearmandf.merge(pearsondf, left_on=('Indicator', 'Country','Type','Behaviour'), right_on=('Indicator', 'Country','Type','Behaviour'))\n", + "display(corrtable)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Review widgets, obsoleted" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we’ve loaded the data, we can start right away to create widgets. These widgets are essentials to add interactivity to our visualizations. We’re going to use two widgets: both, multiple selection widgets. To create these widgets, we can use `ipywidgets` library that is available for Jupyter Notebook.\n", + "\n", + "The first widget that we are going to create is the multiple selection widget. We can do this by using `SelectMultiple()attribute` from `ipywidgets`. With this widget, we have the option to visualize the R^2 only in particular selection of indicators instead of all.\n", + "\n", + "The first argument that we should specify is `options` , which should contain the list of available options of our variable (in our case different indicators). The next one is `value` , which should contain the variable values that we want to display as default, and then `description` is for the text field to describe the name of the widget.The rest of options are just visual details." + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'demo2' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\Users\\amarchve\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 105\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m unique_tri \u001b[39m=\u001b[39m demo2[\u001b[39m'\u001b[39m\u001b[39mIndicator\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39munique()\n\u001b[0;32m 2\u001b[0m tri \u001b[39m=\u001b[39m widgets\u001b[39m.\u001b[39mSelectMultiple(\n\u001b[0;32m 3\u001b[0m options \u001b[39m=\u001b[39m unique_tri\u001b[39m.\u001b[39mtolist(),\n\u001b[0;32m 4\u001b[0m value \u001b[39m=\u001b[39m [\u001b[39m'\u001b[39m\u001b[39mExports-G&S\u001b[39m\u001b[39m'\u001b[39m],\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 7\u001b[0m layout \u001b[39m=\u001b[39m Layout(width\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m50\u001b[39m\u001b[39m%\u001b[39m\u001b[39m'\u001b[39m, height\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m80px\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m 8\u001b[0m )\n\u001b[0;32m 10\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mgraf1\u001b[39m(tri):\n", + "\u001b[1;31mNameError\u001b[0m: name 'demo2' is not defined" + ] + } + ], "source": [ "unique_tri = demo2['Indicator'].unique()\n", "tri = widgets.SelectMultiple(\n", @@ -5976,7 +7033,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -7383,7 +8440,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": null, "metadata": {}, "outputs": [ { From 85417837bc635f34b2ce7ee28d15c2f78320609a Mon Sep 17 00:00:00 2001 From: amarchve Date: Fri, 22 Jul 2022 09:39:28 +0200 Subject: [PATCH 04/86] Final corr --- WDI-Complete code.ipynb | 645 ++-------------------------------------- 1 file changed, 33 insertions(+), 612 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 8716dfc..c0956e8 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -5907,585 +5907,6 @@ "multcolumn(df)\n" ] }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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"\n", - " Women Business and the Law Index Score (scale 1-100).^3 \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.000000 \n", - "3 1.000000 \n", - "4 1.000000 \n", - "... ... \n", - "1531 1.195753 \n", - "1532 1.195753 \n", - "1533 1.195753 \n", - "1534 1.195753 \n", - "1535 1.195753 \n", - "\n", - " Women Business and the Law Index Score (scale 1-100).log \n", - "0 0.000000 \n", - "1 0.000000 \n", - "2 0.000000 \n", - "3 0.000000 \n", - "4 0.000000 \n", - "... ... \n", - "1531 0.059592 \n", - "1532 0.059592 \n", - "1533 0.059592 \n", - "1534 0.059592 \n", - "1535 0.059592 \n", - "\n", - "[1536 rows x 4236 columns]" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -6601,7 +6022,7 @@ "corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= 0.75]\n", "\n", "corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", - "corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.6]" + "corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.75]" ] }, { @@ -6630,7 +6051,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Here, we conmute the values, by expressions. For example if the correlation is positive, we want in the new column called *Behaviour* the word Positive. Or for the *Type* column if the greatest correlation is cuadratic we want to put, Cuadratic." + "Here, we conmute the values, by expressions. For example if the correlation is positive, we want in the new column called *Behaviour* the word Positive. Or for the *Type* column if the greatest correlation is cuadratic we want to put, Cuadratic. We also add the country." ] }, { @@ -6702,7 +6123,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -6790,43 +6211,43 @@ " ...\n", " \n", " \n", - " 17494\n", - " Primary completion rate, female (% of relevant...\n", - " 0.632375\n", - " Cubic\n", + " 68875\n", + " Account ownership at a financial institution o...\n", + " 0.625751\n", + " Logarithmic\n", " Positive\n", " CHN\n", - " 0.760659\n", + " 0.842567\n", " \n", " \n", - " 17495\n", - " Account ownership at a financial institution o...\n", - " 0.625751\n", + " 68876\n", + " Commercial bank branches (per 100,000 adults)\n", + " 0.610583\n", " Logarithmic\n", " Positive\n", " CHN\n", - " 0.857413\n", + " 0.759273\n", " \n", " \n", - " 17496\n", - " Account ownership at a financial institution o...\n", - " 0.625751\n", + " 68877\n", + " Commercial bank branches (per 100,000 adults)\n", + " 0.610583\n", " Logarithmic\n", " Positive\n", " CHN\n", - " 0.851776\n", + " 0.759273\n", " \n", " \n", - " 17497\n", - " Account ownership at a financial institution o...\n", - " 0.625751\n", + " 68878\n", + " Commercial bank branches (per 100,000 adults)\n", + " 0.610583\n", " Logarithmic\n", " Positive\n", " CHN\n", - " 0.842567\n", + " 0.759273\n", " \n", " \n", - " 17498\n", + " 68879\n", " Commercial bank branches (per 100,000 adults)\n", " 0.610583\n", " Logarithmic\n", @@ -6836,7 +6257,7 @@ " \n", " \n", "\n", - "

17499 rows × 6 columns

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68880 rows × 6 columns

\n", "" ], "text/plain": [ @@ -6847,11 +6268,11 @@ "3 Gross national expenditure (current US$) 0.990490 \n", "4 GDP per capita (current US$) 0.988302 \n", "... ... ... \n", - "17494 Primary completion rate, female (% of relevant... 0.632375 \n", - "17495 Account ownership at a financial institution o... 0.625751 \n", - "17496 Account ownership at a financial institution o... 0.625751 \n", - "17497 Account ownership at a financial institution o... 0.625751 \n", - "17498 Commercial bank branches (per 100,000 adults) 0.610583 \n", + "68875 Account ownership at a financial institution o... 0.625751 \n", + "68876 Commercial bank branches (per 100,000 adults) 0.610583 \n", + "68877 Commercial bank branches (per 100,000 adults) 0.610583 \n", + "68878 Commercial bank branches (per 100,000 adults) 0.610583 \n", + "68879 Commercial bank branches (per 100,000 adults) 0.610583 \n", "\n", " Type Behaviour Country R^2 Pearson \n", "0 Linear Positive DEU 0.999851 \n", @@ -6860,13 +6281,13 @@ "3 Linear Positive DEU 0.997181 \n", "4 Linear Positive DEU 0.997925 \n", "... ... ... ... ... \n", - "17494 Cubic Positive CHN 0.760659 \n", - "17495 Logarithmic Positive CHN 0.857413 \n", - "17496 Logarithmic Positive CHN 0.851776 \n", - "17497 Logarithmic Positive CHN 0.842567 \n", - "17498 Logarithmic Positive CHN 0.759273 \n", + "68875 Logarithmic Positive CHN 0.842567 \n", + "68876 Logarithmic Positive CHN 0.759273 \n", + "68877 Logarithmic Positive CHN 0.759273 \n", + "68878 Logarithmic Positive CHN 0.759273 \n", + "68879 Logarithmic Positive CHN 0.759273 \n", "\n", - "[17499 rows x 6 columns]" + "[68880 rows x 6 columns]" ] }, "metadata": {}, From dda1894788ce6daa246e699c031fc95c858ab58b Mon Sep 17 00:00:00 2001 From: amarchve Date: Fri, 22 Jul 2022 13:21:27 +0200 Subject: [PATCH 05/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 384 +++++++++++++++++++++++++++------------- 1 file changed, 265 insertions(+), 119 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index c0956e8..d3b30fb 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -434,7 +434,7 @@ "[384370 rows x 67 columns]" ] }, - "execution_count": 2, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -460,7 +460,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -506,7 +506,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -522,7 +522,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -538,7 +538,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -681,7 +681,7 @@ "[1769879 rows x 4 columns]" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -702,7 +702,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -724,7 +724,7 @@ "dtype: object" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -735,7 +735,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -878,7 +878,7 @@ "[1225418 rows x 4 columns]" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -890,7 +890,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -988,16 +988,16 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -1009,7 +1009,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1140,7 +1140,7 @@ "[59239 rows x 2 columns]" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1161,7 +1161,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -1265,7 +1265,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 13, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1278,7 +1278,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -1382,7 +1382,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 14, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1402,7 +1402,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -1569,7 +1569,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1582,7 +1582,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1591,7 +1591,7 @@ "['Country Code', 'Indicator Name', 'Date', 'Value_x', 'Value_y', 'Value']" ] }, - "execution_count": 16, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -1609,7 +1609,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1776,7 +1776,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 17, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1795,7 +1795,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -1962,7 +1962,7 @@ "[1189068 rows x 6 columns]" ] }, - "execution_count": 18, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -1981,7 +1981,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -2124,7 +2124,7 @@ "[1189068 rows x 4 columns]" ] }, - "execution_count": 19, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -2136,7 +2136,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -2145,7 +2145,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -2726,7 +2726,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 21, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -2745,7 +2745,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -2754,7 +2754,7 @@ "1016628" ] }, - "execution_count": 22, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -2779,7 +2779,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -2803,7 +2803,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -2812,7 +2812,7 @@ "685787" ] }, - "execution_count": 24, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -2838,7 +2838,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -2847,7 +2847,7 @@ "498648" ] }, - "execution_count": 25, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -2873,7 +2873,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -2882,7 +2882,7 @@ "685787" ] }, - "execution_count": 26, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -2908,7 +2908,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -2917,7 +2917,7 @@ "685787" ] }, - "execution_count": 27, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -2938,7 +2938,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -2947,7 +2947,7 @@ "310048" ] }, - "execution_count": 28, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -2975,7 +2975,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -2984,7 +2984,7 @@ "310048" ] }, - "execution_count": 29, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -3028,7 +3028,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -3609,7 +3609,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 35, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -3639,7 +3639,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -4591,7 +4591,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 36, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -4613,7 +4613,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -4622,7 +4622,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -5190,7 +5190,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 38, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -5217,7 +5217,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -5249,7 +5249,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -5817,7 +5817,7 @@ "[1536 rows x 1061 columns]" ] }, - "execution_count": 40, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -5837,7 +5837,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -5846,7 +5846,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -5856,7 +5856,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -5874,7 +5874,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -5899,7 +5899,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -5916,7 +5916,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 46, "metadata": {}, "outputs": [], "source": [ @@ -5954,7 +5954,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 47, "metadata": {}, "outputs": [], "source": [ @@ -5976,7 +5976,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ @@ -5994,7 +5994,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -6014,7 +6014,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ @@ -6034,7 +6034,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 51, "metadata": {}, "outputs": [], "source": [ @@ -6056,7 +6056,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 52, "metadata": {}, "outputs": [], "source": [ @@ -6078,7 +6078,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 53, "metadata": {}, "outputs": [], "source": [ @@ -6105,7 +6105,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 54, "metadata": {}, "outputs": [], "source": [ @@ -6123,7 +6123,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -6158,21 +6158,21 @@ " \n", " \n", " 0\n", - " Gross value added at basic prices (GVA) (curre...\n", + " Adjusted net national income (current US$)\n", " 0.996519\n", " Linear\n", " Positive\n", " DEU\n", - " 0.999851\n", + " 0.999141\n", " \n", " \n", " 1\n", - " Adjusted net national income (current US$)\n", + " Gross value added at basic prices (GVA) (curre...\n", " 0.996519\n", " Linear\n", " Positive\n", " DEU\n", - " 0.999141\n", + " 0.999851\n", " \n", " \n", " 2\n", @@ -6194,12 +6194,12 @@ " \n", " \n", " 4\n", - " GDP per capita (current US$)\n", + " Final consumption expenditure (current US$)\n", " 0.988302\n", " Linear\n", " Positive\n", " DEU\n", - " 0.997925\n", + " 0.996540\n", " \n", " \n", " ...\n", @@ -6211,43 +6211,43 @@ " ...\n", " \n", " \n", - " 68875\n", - " Account ownership at a financial institution o...\n", - " 0.625751\n", - " Logarithmic\n", + " 17390\n", + " Primary completion rate, female (% of relevant...\n", + " 0.632375\n", + " Cubic\n", " Positive\n", " CHN\n", - " 0.842567\n", + " 0.760659\n", " \n", " \n", - " 68876\n", - " Commercial bank branches (per 100,000 adults)\n", - " 0.610583\n", + " 17391\n", + " Account ownership at a financial institution o...\n", + " 0.625751\n", " Logarithmic\n", " Positive\n", " CHN\n", - " 0.759273\n", + " 0.857413\n", " \n", " \n", - " 68877\n", - " Commercial bank branches (per 100,000 adults)\n", - " 0.610583\n", + " 17392\n", + " Account ownership at a financial institution o...\n", + " 0.625751\n", " Logarithmic\n", " Positive\n", " CHN\n", - " 0.759273\n", + " 0.851776\n", " \n", " \n", - " 68878\n", - " Commercial bank branches (per 100,000 adults)\n", - " 0.610583\n", + " 17393\n", + " Account ownership at a financial institution o...\n", + " 0.625751\n", " Logarithmic\n", " Positive\n", " CHN\n", - " 0.759273\n", + " 0.842567\n", " \n", " \n", - " 68879\n", + " 17394\n", " Commercial bank branches (per 100,000 adults)\n", " 0.610583\n", " Logarithmic\n", @@ -6257,37 +6257,37 @@ " \n", " \n", "\n", - "

68880 rows × 6 columns

\n", + "

17395 rows × 6 columns

\n", "" ], "text/plain": [ " Indicator R^2 Spearman \\\n", - "0 Gross value added at basic prices (GVA) (curre... 0.996519 \n", - "1 Adjusted net national income (current US$) 0.996519 \n", + "0 Adjusted net national income (current US$) 0.996519 \n", + "1 Gross value added at basic prices (GVA) (curre... 0.996519 \n", "2 GNI (current US$) 0.996337 \n", "3 Gross national expenditure (current US$) 0.990490 \n", - "4 GDP per capita (current US$) 0.988302 \n", + "4 Final consumption expenditure (current US$) 0.988302 \n", "... ... ... \n", - "68875 Account ownership at a financial institution o... 0.625751 \n", - "68876 Commercial bank branches (per 100,000 adults) 0.610583 \n", - "68877 Commercial bank branches (per 100,000 adults) 0.610583 \n", - "68878 Commercial bank branches (per 100,000 adults) 0.610583 \n", - "68879 Commercial bank branches (per 100,000 adults) 0.610583 \n", + "17390 Primary completion rate, female (% of relevant... 0.632375 \n", + "17391 Account ownership at a financial institution o... 0.625751 \n", + "17392 Account ownership at a financial institution o... 0.625751 \n", + "17393 Account ownership at a financial institution o... 0.625751 \n", + "17394 Commercial bank branches (per 100,000 adults) 0.610583 \n", "\n", " Type Behaviour Country R^2 Pearson \n", - "0 Linear Positive DEU 0.999851 \n", - "1 Linear Positive DEU 0.999141 \n", + "0 Linear Positive DEU 0.999141 \n", + "1 Linear Positive DEU 0.999851 \n", "2 Linear Positive DEU 0.999362 \n", "3 Linear Positive DEU 0.997181 \n", - "4 Linear Positive DEU 0.997925 \n", + "4 Linear Positive DEU 0.996540 \n", "... ... ... ... ... \n", - "68875 Logarithmic Positive CHN 0.842567 \n", - "68876 Logarithmic Positive CHN 0.759273 \n", - "68877 Logarithmic Positive CHN 0.759273 \n", - "68878 Logarithmic Positive CHN 0.759273 \n", - "68879 Logarithmic Positive CHN 0.759273 \n", + "17390 Cubic Positive CHN 0.760659 \n", + "17391 Logarithmic Positive CHN 0.857413 \n", + "17392 Logarithmic Positive CHN 0.851776 \n", + "17393 Logarithmic Positive CHN 0.842567 \n", + "17394 Logarithmic Positive CHN 0.759273 \n", "\n", - "[68880 rows x 6 columns]" + "[17395 rows x 6 columns]" ] }, "metadata": {}, @@ -6390,6 +6390,152 @@ "display(corrtable)" ] }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "columnssf=corrtable.Indicator.to_list()\n", + "columnsf=np.unique(columnssf)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorNumber of times repeated
278GDP per capita (current US$)47
295GNI per capita, Atlas method (current US$)47
401Industry (including construction), value added...46
483Manufacturing, value added (current US$)46
375Import value index (2000 = 100)46
.........
152Current education expenditure, primary (% of t...1
82Arms imports (SIPRI trend indicator values)1
809Share of tariff lines with specific rates, man...1
810Share of tariff lines with specific rates, pri...1
269Fuel imports (% of merchandise imports)1
\n", + "

929 rows × 2 columns

\n", + "
" + ], + "text/plain": [ + " Indicator \\\n", + "278 GDP per capita (current US$) \n", + "295 GNI per capita, Atlas method (current US$) \n", + "401 Industry (including construction), value added... \n", + "483 Manufacturing, value added (current US$) \n", + "375 Import value index (2000 = 100) \n", + ".. ... \n", + "152 Current education expenditure, primary (% of t... \n", + "82 Arms imports (SIPRI trend indicator values) \n", + "809 Share of tariff lines with specific rates, man... \n", + "810 Share of tariff lines with specific rates, pri... \n", + "269 Fuel imports (% of merchandise imports) \n", + "\n", + " Number of times repeated \n", + "278 47 \n", + "295 47 \n", + "401 46 \n", + "483 46 \n", + "375 46 \n", + ".. ... \n", + "152 1 \n", + "82 1 \n", + "809 1 \n", + "810 1 \n", + "269 1 \n", + "\n", + "[929 rows x 2 columns]" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "powerind=[]\n", + "for i in range(0, len(columnsf)):\n", + " powerind.append(columnssf.count(columnsf[i]))\n", + "\n", + "df_indicators = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Indicator','Number of times repeated'])\n", + "df_indicators=df_indicators.sort_values(by = 'Number of times repeated',ascending = False)\n", + "df_indicators" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -6410,7 +6556,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": null, "metadata": {}, "outputs": [ { From 165b4ddf53b8fe0246232673cc22c350218c5a13 Mon Sep 17 00:00:00 2001 From: Mferna38 Date: Fri, 22 Jul 2022 14:28:37 +0200 Subject: [PATCH 06/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 2448 +++++++++++++++++++++++++++++++++++++-- 1 file changed, 2342 insertions(+), 106 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index c0956e8..f527eef 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 100, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 101, "metadata": {}, "outputs": [ { @@ -434,7 +434,7 @@ "[384370 rows x 67 columns]" ] }, - "execution_count": 2, + "execution_count": 101, "metadata": {}, "output_type": "execute_result" } @@ -460,7 +460,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 102, "metadata": {}, "outputs": [], "source": [ @@ -473,7 +473,7 @@ "source": [ "FILTER 1: BY COUNTRY\n", "\n", - "From the almost two hundred countries we have information about in the worldwide database, we have decided to study 50 of them, grouping them by geographical and economical similiarities. With this, we can keep in our dataframe the selected countries." + "From the almost two hundred countries we have information about in the worldwide database, we have decided to study 50 of them, making an initial grouping by geographical and economical similiarities. With this, we can keep in our dataframe the selected countries." ] }, { @@ -506,7 +506,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 103, "metadata": {}, "outputs": [], "source": [ @@ -522,7 +522,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 104, "metadata": {}, "outputs": [], "source": [ @@ -538,7 +538,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 105, "metadata": {}, "outputs": [ { @@ -681,7 +681,7 @@ "[1769879 rows x 4 columns]" ] }, - "execution_count": 6, + "execution_count": 105, "metadata": {}, "output_type": "execute_result" } @@ -702,7 +702,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 106, "metadata": {}, "outputs": [], "source": [ @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 107, "metadata": {}, "outputs": [ { @@ -724,7 +724,7 @@ "dtype: object" ] }, - "execution_count": 8, + "execution_count": 107, "metadata": {}, "output_type": "execute_result" } @@ -735,7 +735,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 108, "metadata": {}, "outputs": [ { @@ -878,7 +878,7 @@ "[1225418 rows x 4 columns]" ] }, - "execution_count": 9, + "execution_count": 108, "metadata": {}, "output_type": "execute_result" } @@ -890,54 +890,13 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 109, "metadata": {}, "outputs": [], "source": [ "BronzeDataFrame=df3" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---- " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "FILTER 3: BY INDICATOR" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "As there are lots of indicators that have very similar meaning we have decided to select some indicators to perform the study (**Indicator group** = *Name of the selected indicator*):\n", - "- **GDP** = *GDP (current US$), measures the monetary value of final goods and services produced in a country at a given period of time.*\n", - "- **Literacy** = *Literacy rate, % of people ages 15 and above which are able to expand one's knowledge of reading and writing in order to develop one's thinking and learning for the purpose of understanding oneself and the world. Government expenditure on education, total % of government expenditure incurred on education service.*\n", - "- **Migration** = *Net migration, difference between the number of immigrants (people coming into an area) and the number of emigrants (people leaving an area) throughout the year.*\n", - "- **Exports** = *Commercial service exports (current US$)* and *Exports of goods and services (current US$). Exports term is referred to the goods and services which are produced in a country and sold to buyers in another one.*\n", - "- **International trading** = *Taxes on international trade. This one reflects the amount of money that a government collects thanks to all kinds of taxes (on products that enter and leave, customs...)..*\n", - "- **Fertility** = *Fertility rate, mean of total births per woman. How many childs have born during a year per women.*\n", - "- **Healthcare** = *% of people using at least basic sanitation services. Amount of children covert by sanitation.*\n", - "- **Employment** = *Employment in agriculture (% of total employment), *Employment in services (% of total employment), and *Employment in industry (% of total employment). Amount of people employed in these three relevant sectors.*\n", - "- **Renewable energy** = *Electricity production from renewable sources, excluding hydroelectric. The units are KWh.*\n", - "- **Mortality** = *Number of infant deaths.*\n", - "- **Outside investment** = *Foreign direct investment, which is the net inflow of investment to acquire a lasting management interest (BoP, current US$).*\n", - "- **Pollution** = *Mortality rate over 100,000 population attributed to household and ambient air pollution and age-standardized.*\n", - "- **Alcoholism** = *Total alcohol consumed per capita measure in liters of pure alcohol, taking into account people who are 15 or more years of age.*\n", - "- **Tech adoption** = *% of GDP which goes to the research and development expenditure.*\n", - "- **Workers high education** = *Labor force with advanced education. % of total working-age population with high level education. It measures the probability of having a good job according to the studies.*\n", - "- **Optimisim and pessimisim** = *Suicide mortality rate per 100,000 population.*\n", - "- **Gender equality** = *Rate of gender equality in a country between (**1=low to **6=high). It assesses the extent to which the country has installed institutions and programs to enforce laws and policies that promote equal access for men and women in education, health, the economy, and protection under law.*\n", - "- **Education** = *Share of youth not in education, employment or training, total, Total number of young people.* and *Government expenditure on education of total. *\n", - "\n", - "To acomplish this, we use the function `isin` that will allow us to only select the the indicators afromentioned, that have been compilied in the list called *indicators_list*" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -988,16 +947,16 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 110, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 110, "metadata": {}, "output_type": "execute_result" } @@ -1009,7 +968,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 111, "metadata": {}, "outputs": [ { @@ -1140,7 +1099,7 @@ "[59239 rows x 2 columns]" ] }, - "execution_count": 12, + "execution_count": 111, "metadata": {}, "output_type": "execute_result" } @@ -1161,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 112, "metadata": {}, "outputs": [ { @@ -1265,7 +1224,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 13, + "execution_count": 112, "metadata": {}, "output_type": "execute_result" } @@ -1278,7 +1237,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 113, "metadata": {}, "outputs": [ { @@ -1382,7 +1341,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 14, + "execution_count": 113, "metadata": {}, "output_type": "execute_result" } @@ -1402,7 +1361,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 114, "metadata": {}, "outputs": [ { @@ -1569,7 +1528,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 15, + "execution_count": 114, "metadata": {}, "output_type": "execute_result" } @@ -1582,7 +1541,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 115, "metadata": {}, "outputs": [ { @@ -1591,7 +1550,7 @@ "['Country Code', 'Indicator Name', 'Date', 'Value_x', 'Value_y', 'Value']" ] }, - "execution_count": 16, + "execution_count": 115, "metadata": {}, "output_type": "execute_result" } @@ -1609,7 +1568,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 116, "metadata": {}, "outputs": [ { @@ -1776,7 +1735,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 17, + "execution_count": 116, "metadata": {}, "output_type": "execute_result" } @@ -1795,7 +1754,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 117, "metadata": {}, "outputs": [ { @@ -1962,7 +1921,7 @@ "[1189068 rows x 6 columns]" ] }, - "execution_count": 18, + "execution_count": 117, "metadata": {}, "output_type": "execute_result" } @@ -1981,7 +1940,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 118, "metadata": {}, "outputs": [ { @@ -2124,7 +2083,7 @@ "[1189068 rows x 4 columns]" ] }, - "execution_count": 19, + "execution_count": 118, "metadata": {}, "output_type": "execute_result" } @@ -2136,7 +2095,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 119, "metadata": {}, "outputs": [], "source": [ @@ -2145,7 +2104,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 120, "metadata": {}, "outputs": [ { @@ -2726,7 +2685,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 21, + "execution_count": 120, "metadata": {}, "output_type": "execute_result" } @@ -2745,7 +2704,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 121, "metadata": {}, "outputs": [ { @@ -2754,7 +2713,7 @@ "1016628" ] }, - "execution_count": 22, + "execution_count": 121, "metadata": {}, "output_type": "execute_result" } @@ -2779,7 +2738,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 122, "metadata": {}, "outputs": [], "source": [ @@ -2803,7 +2762,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 123, "metadata": {}, "outputs": [ { @@ -2812,7 +2771,7 @@ "685787" ] }, - "execution_count": 24, + "execution_count": 123, "metadata": {}, "output_type": "execute_result" } @@ -2838,7 +2797,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 124, "metadata": {}, "outputs": [ { @@ -2847,7 +2806,7 @@ "498648" ] }, - "execution_count": 25, + "execution_count": 124, "metadata": {}, "output_type": "execute_result" } @@ -2873,7 +2832,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 125, "metadata": {}, "outputs": [ { @@ -2882,7 +2841,7 @@ "685787" ] }, - "execution_count": 26, + "execution_count": 125, "metadata": {}, "output_type": "execute_result" } @@ -2908,7 +2867,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 126, "metadata": {}, "outputs": [ { @@ -2917,7 +2876,7 @@ "685787" ] }, - "execution_count": 27, + "execution_count": 126, "metadata": {}, "output_type": "execute_result" } @@ -2938,7 +2897,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 127, "metadata": {}, "outputs": [ { @@ -2947,7 +2906,7 @@ "310048" ] }, - "execution_count": 28, + "execution_count": 127, "metadata": {}, "output_type": "execute_result" } @@ -2975,7 +2934,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 128, "metadata": {}, "outputs": [ { @@ -2984,7 +2943,7 @@ "310048" ] }, - "execution_count": 29, + "execution_count": 128, "metadata": {}, "output_type": "execute_result" } @@ -3028,7 +2987,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 129, "metadata": {}, "outputs": [ { @@ -3609,7 +3568,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 35, + "execution_count": 129, "metadata": {}, "output_type": "execute_result" } @@ -3639,7 +3598,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 130, "metadata": {}, "outputs": [ { @@ -4591,7 +4550,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 36, + "execution_count": 130, "metadata": {}, "output_type": "execute_result" } @@ -4613,7 +4572,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 131, "metadata": {}, "outputs": [], "source": [ @@ -4622,7 +4581,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 132, "metadata": {}, "outputs": [ { @@ -5190,7 +5149,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 38, + "execution_count": 132, "metadata": {}, "output_type": "execute_result" } @@ -5217,7 +5176,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 133, "metadata": {}, "outputs": [ { @@ -5249,7 +5208,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 134, "metadata": {}, "outputs": [ { @@ -5817,7 +5776,7 @@ "[1536 rows x 1061 columns]" ] }, - "execution_count": 40, + "execution_count": 134, "metadata": {}, "output_type": "execute_result" } @@ -5837,7 +5796,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 135, "metadata": {}, "outputs": [], "source": [ @@ -5846,7 +5805,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 136, "metadata": {}, "outputs": [], "source": [ @@ -5854,6 +5813,2283 @@ " data.to_csv(os.getcwd()+'/Data/{}.csv'.format(region))" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "CATEGORISATION OF VARIABLES FOR A DEEPER STUDY" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "metadata": {}, + "outputs": [], + "source": [ + "#Pivot dataframe for having all variables inside the same column for better treatment.\n", + "columns_golden=list(Goldendataframe.columns)\n", + "del columns_golden[0:2]" + ] + }, + { + "cell_type": "code", + "execution_count": 138, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator Name0
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000
3DEU1990EuropeAccess to electricity (% of population)1.000000
4DEU1990EuropeAccess to electricity, rural (% of rural popul...1.000000
..................
1511898CHN2021PairWage and salaried workers, female (% of female...0.588267
1511899CHN2021PairWage and salaried workers, male (% of male emp...0.631579
1511900CHN2021PairWage and salaried workers, total (% of total e...0.612643
1511901CHN2021PairWater productivity, total (constant 2015 US$ G...0.391767
1511902CHN2021PairWomen Business and the Law Index Score (scale ...1.061404
\n", + "

1511903 rows × 5 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1511898 CHN 2021 Pair \n", + "1511899 CHN 2021 Pair \n", + "1511900 CHN 2021 Pair \n", + "1511901 CHN 2021 Pair \n", + "1511902 CHN 2021 Pair \n", + "\n", + " Indicator Name 0 \n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1511898 Wage and salaried workers, female (% of female... 0.588267 \n", + "1511899 Wage and salaried workers, male (% of male emp... 0.631579 \n", + "1511900 Wage and salaried workers, total (% of total e... 0.612643 \n", + "1511901 Water productivity, total (constant 2015 US$ G... 0.391767 \n", + "1511902 Women Business and the Law Index Score (scale ... 1.061404 \n", + "\n", + "[1511903 rows x 5 columns]" + ] + }, + "execution_count": 138, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Categorization=Goldendataframe.set_index(['Country','Year', 'Continent']).stack().reset_index()\n", + "Categorization.rename(columns={'Indicator':'Indicator Name','0':'Value'},inplace=True)\n", + "Categorization" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator Name0
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000
3DEU1990EuropeAccess to electricity (% of population)1.000000
4DEU1990EuropeAccess to electricity, rural (% of rural popul...1.000000
..................
1511898CHN2021PairWage and salaried workers, female (% of female...0.588267
1511899CHN2021PairWage and salaried workers, male (% of male emp...0.631579
1511900CHN2021PairWage and salaried workers, total (% of total e...0.612643
1511901CHN2021PairWater productivity, total (constant 2015 US$ G...0.391767
1511902CHN2021PairWomen Business and the Law Index Score (scale ...1.061404
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1379204 rows × 5 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1511898 CHN 2021 Pair \n", + "1511899 CHN 2021 Pair \n", + "1511900 CHN 2021 Pair \n", + "1511901 CHN 2021 Pair \n", + "1511902 CHN 2021 Pair \n", + "\n", + " Indicator Name 0 \n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1511898 Wage and salaried workers, female (% of female... 0.588267 \n", + "1511899 Wage and salaried workers, male (% of male emp... 0.631579 \n", + "1511900 Wage and salaried workers, total (% of total e... 0.612643 \n", + "1511901 Water productivity, total (constant 2015 US$ G... 0.391767 \n", + "1511902 Women Business and the Law Index Score (scale ... 1.061404 \n", + "\n", + "[1379204 rows x 5 columns]" + ] + }, + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#For indicators with many units, just keeping the US$.\n", + "discard=[\"annual % growth\",\"constant 2015 US$\",\"% of GNI\",\"constant LCU\",\"current LCU\"]\n", + "Categorization[~Categorization['Indicator Name'].str.contains('|'.join(discard))]" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "metadata": {}, + "outputs": [], + "source": [ + "#To check previous step:\n", + "#BronzeDataFrame.apply(lambda row: row.astype(str).str.contains('LCU').any(), axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator Name0Units
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of population)
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of rural population)
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of urban population)
3DEU1990EuropeAccess to electricity (% of population)1.000000(% of population)
4DEU1990EuropeAccess to electricity, rural (% of rural popul...1.000000(% of rural population)
.....................
1511898CHN2021PairWage and salaried workers, female (% of female...0.588267(% of female employment) (modeled ILO estimate)
1511899CHN2021PairWage and salaried workers, male (% of male emp...0.631579(% of male employment) (modeled ILO estimate)
1511900CHN2021PairWage and salaried workers, total (% of total e...0.612643(% of total employment) (modeled ILO estimate)
1511901CHN2021PairWater productivity, total (constant 2015 US$ G...0.391767(constant 2015 US$ GDP per cubic meter of tota...
1511902CHN2021PairWomen Business and the Law Index Score (scale ...1.061404(scale 1-100)
\n", + "

1511903 rows × 6 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1511898 CHN 2021 Pair \n", + "1511899 CHN 2021 Pair \n", + "1511900 CHN 2021 Pair \n", + "1511901 CHN 2021 Pair \n", + "1511902 CHN 2021 Pair \n", + "\n", + " Indicator Name 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1511898 Wage and salaried workers, female (% of female... 0.588267 \n", + "1511899 Wage and salaried workers, male (% of male emp... 0.631579 \n", + "1511900 Wage and salaried workers, total (% of total e... 0.612643 \n", + "1511901 Water productivity, total (constant 2015 US$ G... 0.391767 \n", + "1511902 Women Business and the Law Index Score (scale ... 1.061404 \n", + "\n", + " Units \n", + "0 (% of population) \n", + "1 (% of rural population) \n", + "2 (% of urban population) \n", + "3 (% of population) \n", + "4 (% of rural population) \n", + "... ... \n", + "1511898 (% of female employment) (modeled ILO estimate) \n", + "1511899 (% of male employment) (modeled ILO estimate) \n", + "1511900 (% of total employment) (modeled ILO estimate) \n", + "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", + "1511902 (scale 1-100) \n", + "\n", + "[1511903 rows x 6 columns]" + ] + }, + "execution_count": 141, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Make a new column with the units, that are the string inside the first parenthesis of the indicator name column.\n", + "Categorization['Units']=Categorization['Indicator Name'].str.extract('(\\(.*\\))')\n", + "Categorization" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator Name0Units
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of population)
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of rural population)
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of urban population)
3DEU1990EuropeAccess to electricity1.000000(% of population)
4DEU1990EuropeAccess to electricity, rural1.000000(% of rural population)
.....................
1511898CHN2021PairWage and salaried workers, female0.588267(% of female employment) (modeled ILO estimate)
1511899CHN2021PairWage and salaried workers, male0.631579(% of male employment) (modeled ILO estimate)
1511900CHN2021PairWage and salaried workers, total0.612643(% of total employment) (modeled ILO estimate)
1511901CHN2021PairWater productivity, total0.391767(constant 2015 US$ GDP per cubic meter of tota...
1511902CHN2021PairWomen Business and the Law Index Score1.061404(scale 1-100)
\n", + "

1511903 rows × 6 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1511898 CHN 2021 Pair \n", + "1511899 CHN 2021 Pair \n", + "1511900 CHN 2021 Pair \n", + "1511901 CHN 2021 Pair \n", + "1511902 CHN 2021 Pair \n", + "\n", + " Indicator Name 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity 1.000000 \n", + "4 Access to electricity, rural 1.000000 \n", + "... ... ... \n", + "1511898 Wage and salaried workers, female 0.588267 \n", + "1511899 Wage and salaried workers, male 0.631579 \n", + "1511900 Wage and salaried workers, total 0.612643 \n", + "1511901 Water productivity, total 0.391767 \n", + "1511902 Women Business and the Law Index Score 1.061404 \n", + "\n", + " Units \n", + "0 (% of population) \n", + "1 (% of rural population) \n", + "2 (% of urban population) \n", + "3 (% of population) \n", + "4 (% of rural population) \n", + "... ... \n", + "1511898 (% of female employment) (modeled ILO estimate) \n", + "1511899 (% of male employment) (modeled ILO estimate) \n", + "1511900 (% of total employment) (modeled ILO estimate) \n", + "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", + "1511902 (scale 1-100) \n", + "\n", + "[1511903 rows x 6 columns]" + ] + }, + "execution_count": 142, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Delete the extracted information from origin column. \n", + "Categorization['Indicator Name']=Categorization['Indicator Name'].str.replace(r\"\\(.*\\)\",\"\")\n", + "Categorization" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator Name0Units
151DEU1990EuropeContributing family workers, female1.000000(% of female employment) (modeled ILO estimate)
152DEU1990EuropeContributing family workers, male1.000000(% of male employment) (modeled ILO estimate)
153DEU1990EuropeContributing family workers, total1.000000(% of total employment) (modeled ILO estimate)
1151DEU1991EuropeContributing family workers, female1.000000(% of female employment) (modeled ILO estimate)
1152DEU1991EuropeContributing family workers, male1.000000(% of male employment) (modeled ILO estimate)
.....................
1510141CHN2020PairContributing family workers, male14.564103(% of male employment) (modeled ILO estimate)
1510142CHN2020PairContributing family workers, total7.096551(% of total employment) (modeled ILO estimate)
1511094CHN2021PairContributing family workers, female5.481356(% of female employment) (modeled ILO estimate)
1511095CHN2021PairContributing family workers, male14.564103(% of male employment) (modeled ILO estimate)
1511096CHN2021PairContributing family workers, total7.096551(% of total employment) (modeled ILO estimate)
\n", + "

4608 rows × 6 columns

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" + ], + "text/plain": [ + " Country Year Continent Indicator Name \\\n", + "151 DEU 1990 Europe Contributing family workers, female \n", + "152 DEU 1990 Europe Contributing family workers, male \n", + "153 DEU 1990 Europe Contributing family workers, total \n", + "1151 DEU 1991 Europe Contributing family workers, female \n", + "1152 DEU 1991 Europe Contributing family workers, male \n", + "... ... ... ... ... \n", + "1510141 CHN 2020 Pair Contributing family workers, male \n", + "1510142 CHN 2020 Pair Contributing family workers, total \n", + "1511094 CHN 2021 Pair Contributing family workers, female \n", + "1511095 CHN 2021 Pair Contributing family workers, male \n", + "1511096 CHN 2021 Pair Contributing family workers, total \n", + "\n", + " 0 Units \n", + "151 1.000000 (% of female employment) (modeled ILO estimate) \n", + "152 1.000000 (% of male employment) (modeled ILO estimate) \n", + "153 1.000000 (% of total employment) (modeled ILO estimate) \n", + "1151 1.000000 (% of female employment) (modeled ILO estimate) \n", + "1152 1.000000 (% of male employment) (modeled ILO estimate) \n", + "... ... ... \n", + "1510141 14.564103 (% of male employment) (modeled ILO estimate) \n", + "1510142 7.096551 (% of total employment) (modeled ILO estimate) \n", + "1511094 5.481356 (% of female employment) (modeled ILO estimate) \n", + "1511095 14.564103 (% of male employment) (modeled ILO estimate) \n", + "1511096 7.096551 (% of total employment) (modeled ILO estimate) \n", + "\n", + "[4608 rows x 6 columns]" + ] + }, + "execution_count": 143, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Checking cases of two parenthesis\n", + "two_parent=Categorization[Categorization['Indicator Name'].str.contains('Contributing family workers')]\n", + "two_parent" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator Name0UnitsOther specification
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of population)None
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of rural population)None
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of urban population)None
3DEU1990EuropeAccess to electricity1.000000(% of population)None
4DEU1990EuropeAccess to electricity, rural1.000000(% of rural population)None
........................
1511898CHN2021PairWage and salaried workers, female0.588267(% of female employment(modeled ILO estimate)
1511899CHN2021PairWage and salaried workers, male0.631579(% of male employment(modeled ILO estimate)
1511900CHN2021PairWage and salaried workers, total0.612643(% of total employment(modeled ILO estimate)
1511901CHN2021PairWater productivity, total0.391767(constant 2015 US$ GDP per cubic meter of tota...None
1511902CHN2021PairWomen Business and the Law Index Score1.061404(scale 1-100)None
\n", + "

1511903 rows × 7 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1511898 CHN 2021 Pair \n", + "1511899 CHN 2021 Pair \n", + "1511900 CHN 2021 Pair \n", + "1511901 CHN 2021 Pair \n", + "1511902 CHN 2021 Pair \n", + "\n", + " Indicator Name 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity 1.000000 \n", + "4 Access to electricity, rural 1.000000 \n", + "... ... ... \n", + "1511898 Wage and salaried workers, female 0.588267 \n", + "1511899 Wage and salaried workers, male 0.631579 \n", + "1511900 Wage and salaried workers, total 0.612643 \n", + "1511901 Water productivity, total 0.391767 \n", + "1511902 Women Business and the Law Index Score 1.061404 \n", + "\n", + " Units \\\n", + "0 (% of population) \n", + "1 (% of rural population) \n", + "2 (% of urban population) \n", + "3 (% of population) \n", + "4 (% of rural population) \n", + "... ... \n", + "1511898 (% of female employment \n", + "1511899 (% of male employment \n", + "1511900 (% of total employment \n", + "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", + "1511902 (scale 1-100) \n", + "\n", + " Other specification \n", + "0 None \n", + "1 None \n", + "2 None \n", + "3 None \n", + "4 None \n", + "... ... \n", + "1511898 (modeled ILO estimate) \n", + "1511899 (modeled ILO estimate) \n", + "1511900 (modeled ILO estimate) \n", + "1511901 None \n", + "1511902 None \n", + "\n", + "[1511903 rows x 7 columns]" + ] + }, + "execution_count": 144, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#As there were variables with more than one parentheses element, we are going to separate them since they are not related to units. They go into Other specification column, although it is not relevant for our study.\n", + "Categorization[['Units','Other specification']]=Categorization['Units'].str.split(\"\\) \", n=1,expand=True)\n", + "Categorization" + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator Name0UnitsOther specificationSubgroup
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of population)NoneNaN
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of rural population)Nonerural
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of urban population)Noneurban
3DEU1990EuropeAccess to electricity1.000000(% of population)NoneNaN
4DEU1990EuropeAccess to electricity, rural1.000000(% of rural population)Nonerural
...........................
1511898CHN2021PairWage and salaried workers, female0.588267(% of female employment(modeled ILO estimate)female
1511899CHN2021PairWage and salaried workers, male0.631579(% of male employment(modeled ILO estimate)male
1511900CHN2021PairWage and salaried workers, total0.612643(% of total employment(modeled ILO estimate)total
1511901CHN2021PairWater productivity, total0.391767(constant 2015 US$ GDP per cubic meter of tota...Nonetotal
1511902CHN2021PairWomen Business and the Law Index Score1.061404(scale 1-100)NoneNaN
\n", + "

1511903 rows × 8 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1511898 CHN 2021 Pair \n", + "1511899 CHN 2021 Pair \n", + "1511900 CHN 2021 Pair \n", + "1511901 CHN 2021 Pair \n", + "1511902 CHN 2021 Pair \n", + "\n", + " Indicator Name 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity 1.000000 \n", + "4 Access to electricity, rural 1.000000 \n", + "... ... ... \n", + "1511898 Wage and salaried workers, female 0.588267 \n", + "1511899 Wage and salaried workers, male 0.631579 \n", + "1511900 Wage and salaried workers, total 0.612643 \n", + "1511901 Water productivity, total 0.391767 \n", + "1511902 Women Business and the Law Index Score 1.061404 \n", + "\n", + " Units \\\n", + "0 (% of population) \n", + "1 (% of rural population) \n", + "2 (% of urban population) \n", + "3 (% of population) \n", + "4 (% of rural population) \n", + "... ... \n", + "1511898 (% of female employment \n", + "1511899 (% of male employment \n", + "1511900 (% of total employment \n", + "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", + "1511902 (scale 1-100) \n", + "\n", + " Other specification Subgroup \n", + "0 None NaN \n", + "1 None rural \n", + "2 None urban \n", + "3 None NaN \n", + "4 None rural \n", + "... ... ... \n", + "1511898 (modeled ILO estimate) female \n", + "1511899 (modeled ILO estimate) male \n", + "1511900 (modeled ILO estimate) total \n", + "1511901 None total \n", + "1511902 None NaN \n", + "\n", + "[1511903 rows x 8 columns]" + ] + }, + "execution_count": 145, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Getting the subclassification of some variables that have information divided for small groups.\n", + "Categorization[['Subgroup']]=Categorization['Indicator Name'].str.extract(', (\\w+)')\n", + "Categorization" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator Name0UnitsOther specificationSubgroup
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of population)NoneNaN
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of rural population)Nonerural
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of urban population)Noneurban
3DEU1990EuropeAccess to electricity1.000000(% of population)NoneNaN
4DEU1990EuropeAccess to electricity1.000000(% of rural population)Nonerural
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1511898CHN2021PairWage and salaried workers0.588267(% of female employment(modeled ILO estimate)female
1511899CHN2021PairWage and salaried workers0.631579(% of male employment(modeled ILO estimate)male
1511900CHN2021PairWage and salaried workers0.612643(% of total employment(modeled ILO estimate)total
1511901CHN2021PairWater productivity0.391767(constant 2015 US$ GDP per cubic meter of tota...Nonetotal
1511902CHN2021PairWomen Business and the Law Index Score1.061404(scale 1-100)NoneNaN
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1511903 rows × 8 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1511898 CHN 2021 Pair \n", + "1511899 CHN 2021 Pair \n", + "1511900 CHN 2021 Pair \n", + "1511901 CHN 2021 Pair \n", + "1511902 CHN 2021 Pair \n", + "\n", + " Indicator Name 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity 1.000000 \n", + "4 Access to electricity 1.000000 \n", + "... ... ... \n", + "1511898 Wage and salaried workers 0.588267 \n", + "1511899 Wage and salaried workers 0.631579 \n", + "1511900 Wage and salaried workers 0.612643 \n", + "1511901 Water productivity 0.391767 \n", + "1511902 Women Business and the Law Index Score 1.061404 \n", + "\n", + " Units \\\n", + "0 (% of population) \n", + "1 (% of rural population) \n", + "2 (% of urban population) \n", + "3 (% of population) \n", + "4 (% of rural population) \n", + "... ... \n", + "1511898 (% of female employment \n", + "1511899 (% of male employment \n", + "1511900 (% of total employment \n", + "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", + "1511902 (scale 1-100) \n", + "\n", + " Other specification Subgroup \n", + "0 None NaN \n", + "1 None rural \n", + "2 None urban \n", + "3 None NaN \n", + "4 None rural \n", + "... ... ... \n", + "1511898 (modeled ILO estimate) female \n", + "1511899 (modeled ILO estimate) male \n", + "1511900 (modeled ILO estimate) total \n", + "1511901 None total \n", + "1511902 None NaN \n", + "\n", + "[1511903 rows x 8 columns]" + ] + }, + "execution_count": 146, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Delete the extracted information from origin column. \n", + "Categorization['Indicator Name']=Categorization['Indicator Name'].str.replace(', (\\w+)',\"\")\n", + "Categorization" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "metadata": {}, + "outputs": [], + "source": [ + "#Checking of previous step, as not all of them have this second element.\n", + "Categorization['Subgroup']=Categorization['Subgroup'].replace(['None'],['total'])\n", + "Categorization['Subgroup']=Categorization['Subgroup'].fillna('total')" + ] + }, + { + "cell_type": "code", + "execution_count": 148, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator Name0UnitsOther specificationSubgroup
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of population)Nonetotal
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of rural population)Nonerural
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of urban population)Noneurban
3DEU1990EuropeAccess to electricity1.000000(% of population)Nonetotal
4DEU1990EuropeAccess to electricity1.000000(% of rural population)Nonerural
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1511898CHN2021PairWage and salaried workers0.588267(% of female employment(modeled ILO estimate)female
1511899CHN2021PairWage and salaried workers0.631579(% of male employment(modeled ILO estimate)male
1511900CHN2021PairWage and salaried workers0.612643(% of total employment(modeled ILO estimate)total
1511901CHN2021PairWater productivity0.391767(constant 2015 US$ GDP per cubic meter of tota...Nonetotal
1511902CHN2021PairWomen Business and the Law Index Score1.061404(scale 1-100)Nonetotal
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1511903 rows × 8 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1511898 CHN 2021 Pair \n", + "1511899 CHN 2021 Pair \n", + "1511900 CHN 2021 Pair \n", + "1511901 CHN 2021 Pair \n", + "1511902 CHN 2021 Pair \n", + "\n", + " Indicator Name 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity 1.000000 \n", + "4 Access to electricity 1.000000 \n", + "... ... ... \n", + "1511898 Wage and salaried workers 0.588267 \n", + "1511899 Wage and salaried workers 0.631579 \n", + "1511900 Wage and salaried workers 0.612643 \n", + "1511901 Water productivity 0.391767 \n", + "1511902 Women Business and the Law Index Score 1.061404 \n", + "\n", + " Units \\\n", + "0 (% of population) \n", + "1 (% of rural population) \n", + "2 (% of urban population) \n", + "3 (% of population) \n", + "4 (% of rural population) \n", + "... ... \n", + "1511898 (% of female employment \n", + "1511899 (% of male employment \n", + "1511900 (% of total employment \n", + "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", + "1511902 (scale 1-100) \n", + "\n", + " Other specification Subgroup \n", + "0 None total \n", + "1 None rural \n", + "2 None urban \n", + "3 None total \n", + "4 None rural \n", + "... ... ... \n", + "1511898 (modeled ILO estimate) female \n", + "1511899 (modeled ILO estimate) male \n", + "1511900 (modeled ILO estimate) total \n", + "1511901 None total \n", + "1511902 None total \n", + "\n", + "[1511903 rows x 8 columns]" + ] + }, + "execution_count": 148, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Categorization" + ] + }, + { + "cell_type": "code", + "execution_count": 149, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Access to clean fuels and technologies for cooking ',\n", + " 'Access to electricity ',\n", + " 'Account ownership at a financial institution or with a mobile-money-service provider ',\n", + " 'Account ownership at a financial institution or with a mobile-money-service provider adults ',\n", + " 'Account ownership at a financial institution or with a mobile-money-service provider 40% ',\n", + " 'Account ownership at a financial institution or with a mobile-money-service provider education or less ',\n", + " 'Account ownership at a financial institution or with a mobile-money-service provider 60% ',\n", + " 'Account ownership at a financial institution or with a mobile-money-service provider education or more ',\n", + " 'Adjusted net enrollment rate ', 'Adjusted net national income ',\n", + " 'Adjusted net national income per capita ',\n", + " 'Adjusted net savings particulate emission damage ',\n", + " 'Adjusted savings: carbon dioxide damage ',\n", + " 'Adjusted savings: consumption of fixed capital ',\n", + " 'Adjusted savings: education expenditure ',\n", + " 'Adjusted savings: energy depletion ',\n", + " 'Adjusted savings: gross savings ',\n", + " 'Adjusted savings: mineral depletion ',\n", + " 'Adjusted savings: natural resources depletion ',\n", + " 'Adjusted savings: net national savings ',\n", + " 'Adjusted savings: particulate emission damage ',\n", + " 'Adolescent fertility rate ', 'Adolescents out of school ',\n", + " 'Age dependency ratio ', 'Agricultural irrigated land ',\n", + " 'Agricultural land ', 'Agricultural machinery',\n", + " 'Agricultural machinery per 100 sq. km of arable land',\n", + " 'Agricultural methane emissions ',\n", + " 'Agricultural nitrous oxide emissions ',\n", + " 'Agricultural raw materials exports ',\n", + " 'Agricultural raw materials imports ',\n", + " 'Agriculture fishing added ',\n", + " 'Agriculture fishing added per worker ', 'Air transport ',\n", + " 'Air transport carried',\n", + " 'Air transport carrier departures worldwide',\n", + " 'Alternative and nuclear energy ',\n", + " 'Annual freshwater withdrawals ', 'Aquaculture production ',\n", + " 'Arable land ', 'Armed forces personnel ',\n", + " 'Armed forces personnel', 'Arms exports ', 'Arms imports ',\n", + " 'Automated teller machines ', 'Average precipitation in depth ',\n", + " 'Average time to clear exports through customs ',\n", + " 'Binding coverage products ', 'Bird species', 'Birth rate ',\n", + " 'Births attended by skilled health staff ',\n", + " 'Bound rate mean products ',\n", + " 'Business extent of disclosure index ', 'CO2 emissions ',\n", + " 'CO2 emissions from electricity and heat production ',\n", + " 'CO2 emissions from gaseous fuel consumption ',\n", + " 'CO2 emissions from liquid fuel consumption ',\n", + " 'CO2 emissions from manufacturing industries and construction ',\n", + " 'CO2 emissions from other sectors residential buildings and commercial and public services ',\n", + " 'CO2 emissions from residential buildings and commercial and public services ',\n", + " 'CO2 emissions from solid fuel consumption ',\n", + " 'CO2 emissions from transport ', 'CO2 intensity ',\n", + " 'Capture fisheries production ',\n", + " 'Cause of death communicable diseases and maternal and nutrition conditions ',\n", + " 'Cause of death injury ',\n", + " 'Cause of death non-communicable diseases ', 'Cereal production ',\n", + " 'Cereal yield ', 'Changes in inventories ',\n", + " 'Charges for the use of intellectual property ', 'Chemicals ',\n", + " 'Children out of school ', 'Children out of school',\n", + " 'Claims on central government. ', 'Coal rents ',\n", + " 'Combustible renewables and waste ', 'Commercial bank branches ',\n", + " 'Commercial service exports ', 'Commercial service imports ',\n", + " 'Communications. ', 'Completeness of birth registration ',\n", + " 'Compulsory education ', 'Computer and other services ',\n", + " 'Consumer price index ', 'Container port traffic ',\n", + " 'Contraceptive prevalence method ',\n", + " 'Contraceptive prevalence modern method ',\n", + " 'Contributing family workers ',\n", + " 'Cost of business start-up procedures ',\n", + " 'Cost to export compliance ', 'Crop production index ',\n", + " 'Current account balance ', 'Current education expenditure ',\n", + " 'Current health expenditure ',\n", + " 'Current health expenditure per capita ',\n", + " 'DEC alternative conversion factor ', 'Death rate ',\n", + " 'Depth of credit information index ', 'Diabetes prevalence ',\n", + " 'Domestic credit to private sector ',\n", + " 'Domestic credit to private sector by banks ',\n", + " 'Domestic general government health expenditure ',\n", + " 'Domestic general government health expenditure per capita ',\n", + " 'Domestic private health expenditure ',\n", + " 'Domestic private health expenditure per capita ',\n", + " 'Droughts temperatures ', 'Ease of doing business rank ',\n", + " 'Ease of doing business score ',\n", + " 'Educational attainment least completed lower secondary 25+ ',\n", + " 'Educational attainment least completed primary 25+ years ',\n", + " 'Educational attainment least completed short-cycle tertiary 25+ ',\n", + " 'Educational attainment least completed upper secondary 25+ ',\n", + " 'Electric power consumption ',\n", + " 'Electric power transmission and distribution losses ',\n", + " 'Electricity production from coal sources ',\n", + " 'Electricity production from hydroelectric sources ',\n", + " 'Electricity production from natural gas sources ',\n", + " 'Electricity production from nuclear sources ',\n", + " 'Electricity production from oil sources ',\n", + " 'Electricity production from oil and coal sources ',\n", + " 'Electricity production from renewable sources hydroelectric ',\n", + " 'Employers ', 'Employment in agriculture ',\n", + " 'Employment in industry ', 'Employment in services ',\n", + " 'Employment to population ratio+ ',\n", + " 'Employment to population ratio 15-24 ', 'Energy imports ',\n", + " 'Energy intensity level of primary energy ',\n", + " 'Energy related methane emissions ', 'Energy use ',\n", + " 'Expenditure on tertiary education ', 'Export unit value index ',\n", + " 'Export value index ', 'Export volume index ',\n", + " 'Exports as a capacity to import ',\n", + " 'Exports of goods and services ',\n", + " 'Exports of goods and primary income ',\n", + " 'External balance on goods and services ', 'Fertility rate ',\n", + " 'Fertilizer consumption ', 'Final consumption expenditure ',\n", + " 'Firms expected to give gifts in meetings with tax officials ',\n", + " 'Firms offering formal training ',\n", + " 'Firms using banks to finance investment ',\n", + " 'Firms using banks to finance working capital ',\n", + " 'Firms with female participation in ownership ', 'Fish species',\n", + " 'Fixed broadband subscriptions', 'Fixed broadband subscriptions ',\n", + " 'Fixed telephone subscriptions', 'Fixed telephone subscriptions ',\n", + " 'Food exports ', 'Food imports ', 'Food production index ',\n", + " 'Food and tobacco ', 'Foreign direct investment ',\n", + " 'Foreign direct investment inflows ',\n", + " 'Foreign direct investment outflows ', 'Forest area ',\n", + " 'Forest rents ', 'Fossil fuel energy consumption ',\n", + " 'Fuel exports ', 'Fuel imports ', 'GDP ', 'GDP deflator ',\n", + " 'GDP deflator: linked series ', 'GDP growth ', 'GDP per capita ',\n", + " 'GDP per capita growth ', 'GDP per person employed ',\n", + " 'GDP per unit of energy use ', 'GDP: linked series ',\n", + " 'GHG net emissions/removals by LUCF ', 'GNI ', 'GNI growth ',\n", + " 'GNI per capita ', 'GNI per capita growth ',\n", + " 'GNI per capita method ', 'GNI method ', 'GNI: linked series ',\n", + " 'General government final consumption expenditure ', 'Gini index',\n", + " 'Goods exports ', 'Goods imports ',\n", + " 'Government expenditure on education ',\n", + " 'Government expenditure per student ', 'Grants and other revenue ',\n", + " 'Gross capital formation ', 'Gross domestic income ',\n", + " 'Gross domestic savings ', 'Gross fixed capital formation ',\n", + " 'Gross intake ratio in first grade of primary education ',\n", + " 'Gross national expenditure ',\n", + " 'Gross national expenditure deflator ', 'Gross savings ',\n", + " 'Gross value added at basic prices ', 'HFC gas emissions ',\n", + " 'High-technology exports ', 'Hospital beds ',\n", + " 'Households and NPISHs Final consumption expenditure ',\n", + " 'Households and NPISHs Final consumption expenditure per capita ',\n", + " 'Households and NPISHs Final consumption expenditure per capita growth ',\n", + " 'Households and NPISHs final consumption expenditure ',\n", + " 'Households and NPISHs final consumption expenditure: linked series ',\n", + " 'Human capital index ', 'ICT goods exports ', 'ICT goods imports ',\n", + " 'ICT service exports ', 'Immunization ',\n", + " 'Import unit value index ', 'Import value index ',\n", + " 'Import volume index ', 'Imports of goods and services ',\n", + " 'Imports of goods and primary income ',\n", + " 'Incidence of tuberculosis ', 'Income share held by fourth 20%',\n", + " 'Income share held by highest 10%',\n", + " 'Income share held by highest 20%',\n", + " 'Income share held by lowest 10%',\n", + " 'Income share held by lowest 20%',\n", + " 'Income share held by second 20%',\n", + " 'Income share held by third 20%',\n", + " 'Increase in poverty gap at $1.90 ',\n", + " 'Increase in poverty gap at $3.20 ',\n", + " 'Individuals using the Internet ',\n", + " 'Industrial design applications count', 'Industry ',\n", + " 'Inflation deflator ', 'Inflation deflator: linked series ',\n", + " 'Inflation prices ', 'Insurance and financial services ',\n", + " 'Intentional homicides ', 'Interest payments ',\n", + " 'Internally displaced persons displacement associated with disasters ',\n", + " 'International migrant stock ', 'International migrant stock',\n", + " 'International tourism ',\n", + " 'International tourism for passenger transport items ',\n", + " 'International tourism for travel items ',\n", + " 'International tourism of arrivals',\n", + " 'Labor force participation rate for ages 15-24 ',\n", + " 'Labor force participation rate ',\n", + " 'Labor force with advanced education ',\n", + " 'Labor force with basic education ',\n", + " 'Labor force with intermediate education ', 'Labor force ',\n", + " 'Labor force', 'Labor tax and contributions ', 'Land area ',\n", + " 'Land area where elevation is below 5 meters ',\n", + " 'Land under cereal production ', 'Lead time to export case ',\n", + " 'Lead time to import case ',\n", + " 'Level of water stress: freshwater withdrawal as a proportion of available freshwater resources',\n", + " 'Life expectancy at birth ', 'Lifetime risk of maternal death ',\n", + " 'Liner shipping connectivity index ', 'Listed domestic companies',\n", + " 'Livestock production index ',\n", + " 'Logistics performance index: Ability to track and trace consignments ',\n", + " 'Logistics performance index: Competence and quality of logistics services ',\n", + " 'Logistics performance index: Ease of arranging competitively priced shipments ',\n", + " 'Logistics performance index: Efficiency of customs clearance process ',\n", + " 'Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time ',\n", + " 'Logistics performance index: Overall ',\n", + " 'Logistics performance index: Quality of trade and transport-related infrastructure ',\n", + " 'Low-birthweight babies ', 'Lower secondary completion rate ',\n", + " 'Lower secondary school starting age ',\n", + " 'Machinery and transport equipment ', 'Mammal species',\n", + " 'Manufactures exports ', 'Manufactures imports ',\n", + " 'Manufacturing added ', 'Marine protected areas ',\n", + " 'Market capitalization of listed domestic companies ',\n", + " 'Maternal mortality ratio ', 'Medium and high-tech exports ',\n", + " 'Medium and high-tech manufacturing value added ',\n", + " 'Merchandise exports ',\n", + " 'Merchandise exports by the reporting economy ',\n", + " 'Merchandise exports to economies in the Arab World ',\n", + " 'Merchandise exports to high-income economies ',\n", + " 'Merchandise exports to low- and middle-income economies in East Asia & Pacific ',\n", + " 'Merchandise exports to low- and middle-income economies in Europe & Central Asia ',\n", + " 'Merchandise exports to low- and middle-income economies in Latin America & the Caribbean ',\n", + " 'Merchandise exports to low- and middle-income economies in Middle East & North Africa ',\n", + " 'Merchandise exports to low- and middle-income economies in South Asia ',\n", + " 'Merchandise exports to low- and middle-income economies in Sub-Saharan Africa ',\n", + " 'Merchandise exports to low- and middle-income economies outside region ',\n", + " 'Merchandise imports ',\n", + " 'Merchandise imports by the reporting economy ',\n", + " 'Merchandise imports from economies in the Arab World ',\n", + " 'Merchandise imports from high-income economies ',\n", + " 'Merchandise imports from low- and middle-income economies in East Asia & Pacific ',\n", + " 'Merchandise imports from low- and middle-income economies in Europe & Central Asia ',\n", + " 'Merchandise imports from low- and middle-income economies in Latin America & the Caribbean ',\n", + " 'Merchandise imports from low- and middle-income economies in Middle East & North Africa ',\n", + " 'Merchandise imports from low- and middle-income economies in South Asia ',\n", + " 'Merchandise imports from low- and middle-income economies in Sub-Saharan Africa ',\n", + " 'Merchandise imports from low- and middle-income economies outside region ',\n", + " 'Merchandise trade ', 'Methane emissions ',\n", + " 'Methane emissions in energy sector ', 'Military expenditure ',\n", + " 'Mineral rents ', 'Mobile cellular subscriptions',\n", + " 'Mobile cellular subscriptions ',\n", + " 'Monetary Sector credit to private sector ',\n", + " 'Mortality caused by road traffic injury ',\n", + " 'Mortality from CVD or CRD between exact ages 30 and 70 ',\n", + " 'Mortality rate attributed to household and ambient air pollution-standardized ',\n", + " 'Mortality rate attributed to unintentional poisoning ',\n", + " 'Mortality rate attributed to unsafe water sanitation and lack of hygiene ',\n", + " 'Mortality rate ', 'Mortality rate-5 ', 'Natural gas rents ',\n", + " 'Net barter terms of trade index ', 'Net capital account ',\n", + " 'Net domestic credit ', 'Net errors and omissions ',\n", + " 'Net financial account ', 'Net foreign assets ', 'Net migration',\n", + " 'Net primary income ', 'Net secondary income ',\n", + " 'Net trade in goods ', 'Net trade in goods and services ',\n", + " 'New business density ', 'New businesses registered ',\n", + " 'Nitrous oxide emissions ',\n", + " 'Nitrous oxide emissions in energy sector ',\n", + " 'Number of deaths ages 10-14 years',\n", + " 'Number of deaths ages 15-19 years',\n", + " 'Number of deaths ages 20-24 years',\n", + " 'Number of deaths ages 5-9 years', 'Number of infant deaths',\n", + " 'Number of maternal deaths', 'Number of neonatal deaths',\n", + " 'Number of under-five deaths', 'Nurses and midwives ',\n", + " 'Official exchange rate ', 'Oil rents ',\n", + " 'Ores and metals exports ', 'Ores and metals imports ',\n", + " 'Other greenhouse gas emissions ',\n", + " 'Other greenhouse gas emissions and SF6 ', 'Other manufacturing ',\n", + " 'Other taxes payable by businesses ', 'Out-of-pocket expenditure ',\n", + " 'Out-of-pocket expenditure per capita ', 'Over-age students ',\n", + " 'PFC gas emissions ', 'PM2.5 air pollution annual exposure ',\n", + " 'PM2.5 air pollution exposed to levels exceeding WHO guideline value ',\n", + " 'PM2.5 pollution exposed to levels exceeding WHO Interim Target-3 value ',\n", + " 'PPP conversion factor ', 'PPP conversion factor consumption ',\n", + " 'Part time employment ', 'Patent applications',\n", + " 'People using at least basic drinking water services ',\n", + " 'People using at least basic sanitation services ',\n", + " 'People using safely managed sanitation services ',\n", + " 'Permanent cropland ', 'Persistence to last grade of primary ',\n", + " 'Personal remittances ', 'Personal transfers ', 'Physicians ',\n", + " 'Plant species ', 'Population ages 0-14 ', 'Population ages 0-14',\n", + " 'Population ages 00-04 ', 'Population ages 05-09 ',\n", + " 'Population ages 10-14 ', 'Population ages 15-19 ',\n", + " 'Population ages 15-64 ', 'Population ages 15-64',\n", + " 'Population ages 20-24 ', 'Population ages 25-29 ',\n", + " 'Population ages 30-34 ', 'Population ages 35-39 ',\n", + " 'Population ages 40-44 ', 'Population ages 45-49 ',\n", + " 'Population ages 50-54 ', 'Population ages 55-59 ',\n", + " 'Population ages 60-64 ', 'Population ages 65 and above ',\n", + " 'Population ages 65 and above', 'Population ages 65-69 ',\n", + " 'Population ages 70-74 ', 'Population ages 75-79 ',\n", + " 'Population ages 80 and above ', 'Population density ',\n", + " 'Population growth ', 'Population in largest city',\n", + " 'Population in the largest city ',\n", + " 'Population in urban agglomerations of more than 1 million',\n", + " 'Population in urban agglomerations of more than 1 million ',\n", + " 'Population living in areas where elevation is below 5 meters ',\n", + " 'Population', 'Population ', 'Portfolio equity inflows ',\n", + " 'Portfolio investment ', 'Poverty gap at $5.50 a day ',\n", + " 'Poverty headcount ratio at $5.50 a day ',\n", + " 'Poverty headcount ratio at national poverty lines ',\n", + " 'Pregnant women receiving prenatal care ', 'Preprimary education ',\n", + " 'Prevalence of anemia among children ',\n", + " 'Prevalence of anemia among non-pregnant women ',\n", + " 'Prevalence of anemia among pregnant women ',\n", + " 'Prevalence of anemia among women of reproductive age ',\n", + " 'Prevalence of current tobacco use ', 'Prevalence of overweight ',\n", + " 'Prevalence of overweight for height ',\n", + " 'Prevalence of stunting for age ',\n", + " 'Prevalence of undernourishment ',\n", + " 'Prevalence of underweight for age ',\n", + " 'Prevalence of wasting for height ',\n", + " 'Price level ratio of PPP conversion factor to market exchange rate',\n", + " 'Primary completion rate ', 'Primary education ',\n", + " 'Primary education', 'Primary income payments ',\n", + " 'Primary income receipts ', 'Primary school starting age ',\n", + " 'Private credit bureau coverage ',\n", + " 'Probability of dying among adolescents ages 10-14 years ',\n", + " 'Probability of dying among adolescents ages 15-19 years ',\n", + " 'Probability of dying among children ages 5-9 years ',\n", + " 'Probability of dying among youth ages 20-24 years ',\n", + " 'Procedures to build a warehouse ',\n", + " 'Procedures to register property ', 'Profit tax ',\n", + " 'Progression to secondary school ',\n", + " 'Proportion of people living below 50 percent of median income ',\n", + " 'Proportion of population pushed below the $1.90 ',\n", + " 'Proportion of population pushed below the $3.20 ',\n", + " 'Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure ',\n", + " 'Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure ',\n", + " 'Proportion of seats held by women in national parliaments ',\n", + " 'Public credit registry coverage ', 'Pump price for diesel fuel ',\n", + " 'Pump price for gasoline ', 'Pupil-teacher ratio secondary',\n", + " 'Pupil-teacher ratio', 'Rail lines ', 'Railways transported ',\n", + " 'Railways carried ',\n", + " 'Ratio of female to male labor force participation rate ',\n", + " 'Refugee population by country or territory of asylum',\n", + " 'Refugee population by country or territory of origin',\n", + " 'Renewable electricity output ', 'Renewable energy consumption ',\n", + " 'Renewable internal freshwater resources per capita ',\n", + " 'Renewable internal freshwater resources ', 'Repeaters ',\n", + " 'Research and development expenditure ', 'Researchers in R&D ',\n", + " 'Reserves and related items ', 'Revenue grants ',\n", + " 'Risk of catastrophic expenditure for surgical care ',\n", + " 'Rural land area ',\n", + " 'Rural land area where elevation is below 5 meters ',\n", + " 'Rural population', 'Rural population ',\n", + " 'Rural population growth ',\n", + " 'Rural population living in areas where elevation is below 5 meters ',\n", + " 'SF6 gas emissions ', 'School enrollment ',\n", + " 'School enrollment and secondary ',\n", + " 'Scientific and technical journal articles',\n", + " 'Secondary education ', 'Secondary education pupils',\n", + " 'Secondary education pupils ', 'Secondary education',\n", + " 'Secondary income receipts ', 'Secondary income sectors ',\n", + " 'Secure Internet servers', 'Secure Internet servers ',\n", + " 'Self-employed ', 'Service exports ', 'Service imports ',\n", + " 'Services added ', 'Services added per worker ',\n", + " 'Sex ratio at birth ',\n", + " 'Share of tariff lines with international peaks products ',\n", + " 'Share of tariff lines with specific rates products ',\n", + " 'Share of youth not in education or training ',\n", + " 'Social contributions ', 'Specialist surgical workforce ',\n", + " 'Start-up procedures to register a business ',\n", + " 'Statistical performance indicators ', 'Stocks traded value ',\n", + " 'Stocks traded ratio of domestic shares ',\n", + " 'Strength of legal rights index ', 'Suicide mortality rate ',\n", + " 'Surface area ', 'Survival to age 65 ',\n", + " 'Tariff rate mean products ',\n", + " 'Tariff rate favored nation mean products ', 'Tax payments ',\n", + " 'Tax revenue ', 'Taxes less subsidies on products ',\n", + " 'Taxes on goods and services ',\n", + " 'Taxes on income and capital gains ', 'Terms of trade adjustment ',\n", + " 'Terrestrial and marine protected areas ',\n", + " 'Terrestrial protected areas ', 'Tertiary education staff ',\n", + " 'Textiles and clothing ', 'Time required to build a warehouse ',\n", + " 'Time required to enforce a contract ',\n", + " 'Time required to get electricity ',\n", + " 'Time required to register property ',\n", + " 'Time required to start a business ',\n", + " 'Time spent dealing with the requirements of government regulations ',\n", + " 'Time to export compliance ', 'Time to import compliance ',\n", + " 'Time to obtain an electrical connection ',\n", + " 'Time to prepare and pay taxes ', 'Time to resolve insolvency ',\n", + " 'Total alcohol consumption per capita ',\n", + " 'Total fisheries production ', 'Total greenhouse gas emissions ',\n", + " 'Total natural resources rents ', 'Total reserves ',\n", + " 'Total reserves in months of imports',\n", + " 'Total reserves minus gold ', 'Total tax and contribution rate ',\n", + " 'Trade ', 'Trade in services ',\n", + " 'Trademark applications nonresident',\n", + " 'Trademark applications resident', 'Trademark applications count',\n", + " 'Trademark applications', 'Transport services ',\n", + " 'Travel services ', 'Tuberculosis case detection rate ',\n", + " 'Tuberculosis treatment success rate ',\n", + " 'UHC service coverage index',\n", + " 'Unemployment with advanced education ',\n", + " 'Unemployment with basic education ',\n", + " 'Unemployment with intermediate education ', 'Unemployment ',\n", + " 'Unemployment female ', 'Unemployment male ',\n", + " 'Unemployment total ', 'Urban land area ',\n", + " 'Urban land area where elevation is below 5 meters ',\n", + " 'Urban population', 'Urban population ',\n", + " 'Urban population growth ',\n", + " 'Urban population living in areas where elevation is below 5 meters ',\n", + " 'Vulnerable employment ', 'Wage and salaried workers ',\n", + " 'Water productivity ', 'Women Business and the Law Index Score ',\n", + " 'Poverty headcount ratio at $3.20 a day ',\n", + " 'Customs and other import duties ',\n", + " 'Discrepancy in expenditure estimate of GDP ', 'Other taxes ',\n", + " 'Poverty gap at $3.20 a day ', 'Taxes on international trade ',\n", + " 'Poverty headcount ratio at $1.90 a day ',\n", + " 'Poverty gap at $1.90 a day ', 'External health expenditure ',\n", + " 'External health expenditure per capita ',\n", + " 'PM2.5 pollution exposed to levels exceeding WHO Interim Target-2 value ',\n", + " 'Risk of impoverishing expenditure for surgical care ',\n", + " 'PM2.5 pollution exposed to levels exceeding WHO Interim Target-1 value ',\n", + " 'People practicing open defecation ', 'Cost to import compliance ',\n", + " 'Taxes on exports ', 'Adjusted savings: net forest depletion '],\n", + " dtype=object)" + ] + }, + "execution_count": 149, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Categorization['Indicator Name'].unique()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "------------------------------" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "FROM HERE ON, ADAPT FOR MAKING CORRELATIONS JUST FOR SUBGROUP=TOTAL." + ] + }, { "cell_type": "code", "execution_count": 43, @@ -10050,7 +12286,7 @@ }, "vscode": { "interpreter": { - "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" + "hash": "292912297167048338b5d1136ec8c661b8a2f1d3fcecd6650d637809a967c218" } } }, From f3db7d9bf3fc3d4313881cca94ac595ed91293cc Mon Sep 17 00:00:00 2001 From: amarchve Date: Mon, 25 Jul 2022 08:31:24 +0200 Subject: [PATCH 07/86] Revert "Merge branch 'Remodel-due-to-d2' of https://github.com/devonfw-forge/python-data-driven-decisions into Remodel-due-to-d2" This reverts commit 6e5995a1b7a6fdbd54d549961245fabe9c9dd227, reversing changes made to 165b4ddf53b8fe0246232673cc22c350218c5a13. --- WDI-Complete code.ipynb | 509 +++++----------------------------------- 1 file changed, 56 insertions(+), 453 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 3e20ea1..f527eef 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -16,11 +16,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 100, -======= - "execution_count": 2, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [], "source": [ @@ -52,11 +48,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 101, -======= - "execution_count": 3, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -442,11 +434,7 @@ "[384370 rows x 67 columns]" ] }, -<<<<<<< HEAD "execution_count": 101, -======= - "execution_count": 3, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -472,11 +460,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 102, -======= - "execution_count": 4, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [], "source": [ @@ -522,11 +506,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 103, -======= - "execution_count": 5, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [], "source": [ @@ -542,11 +522,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 104, -======= - "execution_count": 6, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [], "source": [ @@ -562,11 +538,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 105, -======= - "execution_count": 7, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -709,11 +681,7 @@ "[1769879 rows x 4 columns]" ] }, -<<<<<<< HEAD "execution_count": 105, -======= - "execution_count": 7, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -734,11 +702,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 106, -======= - "execution_count": 8, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [], "source": [ @@ -747,11 +711,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 107, -======= - "execution_count": 9, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -764,11 +724,7 @@ "dtype: object" ] }, -<<<<<<< HEAD "execution_count": 107, -======= - "execution_count": 9, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -779,11 +735,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 108, -======= - "execution_count": 10, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -926,11 +878,7 @@ "[1225418 rows x 4 columns]" ] }, -<<<<<<< HEAD "execution_count": 108, -======= - "execution_count": 10, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -942,11 +890,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 109, -======= - "execution_count": 11, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [], "source": [ @@ -1003,27 +947,16 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 110, -======= - "execution_count": 12, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { "data": { "text/plain": [ -<<<<<<< HEAD "" ] }, "execution_count": 110, -======= - "" - ] - }, - "execution_count": 12, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -1035,11 +968,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 111, -======= - "execution_count": 13, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -1170,11 +1099,7 @@ "[59239 rows x 2 columns]" ] }, -<<<<<<< HEAD "execution_count": 111, -======= - "execution_count": 13, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -1195,11 +1120,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 112, -======= - "execution_count": 14, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -1303,11 +1224,7 @@ "[59239 rows x 1 columns]" ] }, -<<<<<<< HEAD "execution_count": 112, -======= - "execution_count": 14, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -1320,11 +1237,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 113, -======= - "execution_count": 15, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -1428,11 +1341,7 @@ "[59239 rows x 1 columns]" ] }, -<<<<<<< HEAD "execution_count": 113, -======= - "execution_count": 15, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -1452,11 +1361,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 114, -======= - "execution_count": 16, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -1623,11 +1528,7 @@ "[1225418 rows x 6 columns]" ] }, -<<<<<<< HEAD "execution_count": 114, -======= - "execution_count": 16, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -1640,11 +1541,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 115, -======= - "execution_count": 17, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -1653,11 +1550,7 @@ "['Country Code', 'Indicator Name', 'Date', 'Value_x', 'Value_y', 'Value']" ] }, -<<<<<<< HEAD "execution_count": 115, -======= - "execution_count": 17, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -1675,11 +1568,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 116, -======= - "execution_count": 18, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -1846,11 +1735,7 @@ "[1225418 rows x 6 columns]" ] }, -<<<<<<< HEAD "execution_count": 116, -======= - "execution_count": 18, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -1869,11 +1754,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 117, -======= - "execution_count": 19, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -2040,11 +1921,7 @@ "[1189068 rows x 6 columns]" ] }, -<<<<<<< HEAD "execution_count": 117, -======= - "execution_count": 19, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -2063,11 +1940,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 118, -======= - "execution_count": 20, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -2210,11 +2083,7 @@ "[1189068 rows x 4 columns]" ] }, -<<<<<<< HEAD "execution_count": 118, -======= - "execution_count": 20, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -2226,11 +2095,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 119, -======= - "execution_count": 21, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [], "source": [ @@ -2239,11 +2104,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 120, -======= - "execution_count": 22, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -2824,11 +2685,7 @@ "[1536 rows x 1438 columns]" ] }, -<<<<<<< HEAD "execution_count": 120, -======= - "execution_count": 22, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -2847,11 +2704,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 121, -======= - "execution_count": 23, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -2860,11 +2713,7 @@ "1016628" ] }, -<<<<<<< HEAD "execution_count": 121, -======= - "execution_count": 23, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -2889,11 +2738,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 122, -======= - "execution_count": 24, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [], "source": [ @@ -2917,11 +2762,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 123, -======= - "execution_count": 25, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -2930,11 +2771,7 @@ "685787" ] }, -<<<<<<< HEAD "execution_count": 123, -======= - "execution_count": 25, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -2960,11 +2797,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 124, -======= - "execution_count": 26, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -2973,11 +2806,7 @@ "498648" ] }, -<<<<<<< HEAD "execution_count": 124, -======= - "execution_count": 26, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -3003,11 +2832,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 125, -======= - "execution_count": 27, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -3016,11 +2841,7 @@ "685787" ] }, -<<<<<<< HEAD "execution_count": 125, -======= - "execution_count": 27, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -3046,11 +2867,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 126, -======= - "execution_count": 28, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -3059,11 +2876,7 @@ "685787" ] }, -<<<<<<< HEAD "execution_count": 126, -======= - "execution_count": 28, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -3084,11 +2897,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 127, -======= - "execution_count": 29, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -3097,11 +2906,7 @@ "310048" ] }, -<<<<<<< HEAD "execution_count": 127, -======= - "execution_count": 29, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -3129,11 +2934,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 128, -======= - "execution_count": 30, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -3142,11 +2943,7 @@ "310048" ] }, -<<<<<<< HEAD "execution_count": 128, -======= - "execution_count": 30, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -3190,11 +2987,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 129, -======= - "execution_count": 31, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -3775,11 +3568,7 @@ "[1536 rows x 1438 columns]" ] }, -<<<<<<< HEAD "execution_count": 129, -======= - "execution_count": 31, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -3809,11 +3598,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 130, -======= - "execution_count": 32, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -4765,11 +4550,7 @@ "[1536 rows x 1060 columns]" ] }, -<<<<<<< HEAD "execution_count": 130, -======= - "execution_count": 32, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -4791,11 +4572,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 131, -======= - "execution_count": 33, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [], "source": [ @@ -4804,11 +4581,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 132, -======= - "execution_count": 34, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -5376,11 +5149,7 @@ "[1536 rows x 1060 columns]" ] }, -<<<<<<< HEAD "execution_count": 132, -======= - "execution_count": 34, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -5407,11 +5176,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 133, -======= - "execution_count": 35, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -5443,11 +5208,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 134, -======= - "execution_count": 36, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [ { @@ -6015,11 +5776,7 @@ "[1536 rows x 1061 columns]" ] }, -<<<<<<< HEAD "execution_count": 134, -======= - "execution_count": 36, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "output_type": "execute_result" } @@ -6039,11 +5796,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 135, -======= - "execution_count": 37, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [], "source": [ @@ -6052,11 +5805,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 136, -======= - "execution_count": 38, ->>>>>>> dda1894788ce6daa246e699c031fc95c858ab58b "metadata": {}, "outputs": [], "source": [ @@ -8343,7 +8092,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -8361,7 +8110,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ @@ -8386,7 +8135,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ @@ -8403,7 +8152,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 61, "metadata": {}, "outputs": [], "source": [ @@ -8441,7 +8190,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 62, "metadata": {}, "outputs": [], "source": [ @@ -8463,7 +8212,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 63, "metadata": {}, "outputs": [], "source": [ @@ -8481,7 +8230,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 64, "metadata": {}, "outputs": [], "source": [ @@ -8501,7 +8250,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 65, "metadata": {}, "outputs": [], "source": [ @@ -8521,7 +8270,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ @@ -8543,7 +8292,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 67, "metadata": {}, "outputs": [], "source": [ @@ -8565,7 +8314,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 68, "metadata": {}, "outputs": [], "source": [ @@ -8592,7 +8341,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ @@ -8610,7 +8359,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -8645,21 +8394,21 @@ " \n", " \n", " 0\n", - " Adjusted net national income (current US$)\n", + " Gross value added at basic prices (GVA) (curre...\n", " 0.996519\n", " Linear\n", " Positive\n", " DEU\n", - " 0.999141\n", + " 0.999851\n", " \n", " \n", " 1\n", - " Gross value added at basic prices (GVA) (curre...\n", + " Adjusted net national income (current US$)\n", " 0.996519\n", " Linear\n", " Positive\n", " DEU\n", - " 0.999851\n", + " 0.999141\n", " \n", " \n", " 2\n", @@ -8681,12 +8430,12 @@ " \n", " \n", " 4\n", - " Final consumption expenditure (current US$)\n", + " GDP per capita (current US$)\n", " 0.988302\n", " Linear\n", " Positive\n", " DEU\n", - " 0.996540\n", + " 0.997925\n", " \n", " \n", " ...\n", @@ -8698,43 +8447,43 @@ " ...\n", " \n", " \n", - " 17390\n", - " Primary completion rate, female (% of relevant...\n", - " 0.632375\n", - " Cubic\n", + " 68875\n", + " Account ownership at a financial institution o...\n", + " 0.625751\n", + " Logarithmic\n", " Positive\n", " CHN\n", - " 0.760659\n", + " 0.842567\n", " \n", " \n", - " 17391\n", - " Account ownership at a financial institution o...\n", - " 0.625751\n", + " 68876\n", + " Commercial bank branches (per 100,000 adults)\n", + " 0.610583\n", " Logarithmic\n", " Positive\n", " CHN\n", - " 0.857413\n", + " 0.759273\n", " \n", " \n", - " 17392\n", - " Account ownership at a financial institution o...\n", - " 0.625751\n", + " 68877\n", + " Commercial bank branches (per 100,000 adults)\n", + " 0.610583\n", " Logarithmic\n", " Positive\n", " CHN\n", - " 0.851776\n", + " 0.759273\n", " \n", " \n", - " 17393\n", - " Account ownership at a financial institution o...\n", - " 0.625751\n", + " 68878\n", + " Commercial bank branches (per 100,000 adults)\n", + " 0.610583\n", " Logarithmic\n", " Positive\n", " CHN\n", - " 0.842567\n", + " 0.759273\n", " \n", " \n", - " 17394\n", + " 68879\n", " Commercial bank branches (per 100,000 adults)\n", " 0.610583\n", " Logarithmic\n", @@ -8744,37 +8493,37 @@ " \n", " \n", "\n", - "

17395 rows × 6 columns

\n", + "

68880 rows × 6 columns

\n", "" ], "text/plain": [ " Indicator R^2 Spearman \\\n", - "0 Adjusted net national income (current US$) 0.996519 \n", - "1 Gross value added at basic prices (GVA) (curre... 0.996519 \n", + "0 Gross value added at basic prices (GVA) (curre... 0.996519 \n", + "1 Adjusted net national income (current US$) 0.996519 \n", "2 GNI (current US$) 0.996337 \n", "3 Gross national expenditure (current US$) 0.990490 \n", - "4 Final consumption expenditure (current US$) 0.988302 \n", + "4 GDP per capita (current US$) 0.988302 \n", "... ... ... \n", - "17390 Primary completion rate, female (% of relevant... 0.632375 \n", - "17391 Account ownership at a financial institution o... 0.625751 \n", - "17392 Account ownership at a financial institution o... 0.625751 \n", - "17393 Account ownership at a financial institution o... 0.625751 \n", - "17394 Commercial bank branches (per 100,000 adults) 0.610583 \n", + "68875 Account ownership at a financial institution o... 0.625751 \n", + "68876 Commercial bank branches (per 100,000 adults) 0.610583 \n", + "68877 Commercial bank branches (per 100,000 adults) 0.610583 \n", + "68878 Commercial bank branches (per 100,000 adults) 0.610583 \n", + "68879 Commercial bank branches (per 100,000 adults) 0.610583 \n", "\n", " Type Behaviour Country R^2 Pearson \n", - "0 Linear Positive DEU 0.999141 \n", - "1 Linear Positive DEU 0.999851 \n", + "0 Linear Positive DEU 0.999851 \n", + "1 Linear Positive DEU 0.999141 \n", "2 Linear Positive DEU 0.999362 \n", "3 Linear Positive DEU 0.997181 \n", - "4 Linear Positive DEU 0.996540 \n", + "4 Linear Positive DEU 0.997925 \n", "... ... ... ... ... \n", - "17390 Cubic Positive CHN 0.760659 \n", - "17391 Logarithmic Positive CHN 0.857413 \n", - "17392 Logarithmic Positive CHN 0.851776 \n", - "17393 Logarithmic Positive CHN 0.842567 \n", - "17394 Logarithmic Positive CHN 0.759273 \n", + "68875 Logarithmic Positive CHN 0.842567 \n", + "68876 Logarithmic Positive CHN 0.759273 \n", + "68877 Logarithmic Positive CHN 0.759273 \n", + "68878 Logarithmic Positive CHN 0.759273 \n", + "68879 Logarithmic Positive CHN 0.759273 \n", "\n", - "[17395 rows x 6 columns]" + "[68880 rows x 6 columns]" ] }, "metadata": {}, @@ -8877,152 +8626,6 @@ "display(corrtable)" ] }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": {}, - "outputs": [], - "source": [ - "columnssf=corrtable.Indicator.to_list()\n", - "columnsf=np.unique(columnssf)" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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IndicatorNumber of times repeated
278GDP per capita (current US$)47
295GNI per capita, Atlas method (current US$)47
401Industry (including construction), value added...46
483Manufacturing, value added (current US$)46
375Import value index (2000 = 100)46
.........
152Current education expenditure, primary (% of t...1
82Arms imports (SIPRI trend indicator values)1
809Share of tariff lines with specific rates, man...1
810Share of tariff lines with specific rates, pri...1
269Fuel imports (% of merchandise imports)1
\n", - "

929 rows × 2 columns

\n", - "
" - ], - "text/plain": [ - " Indicator \\\n", - "278 GDP per capita (current US$) \n", - "295 GNI per capita, Atlas method (current US$) \n", - "401 Industry (including construction), value added... \n", - "483 Manufacturing, value added (current US$) \n", - "375 Import value index (2000 = 100) \n", - ".. ... \n", - "152 Current education expenditure, primary (% of t... \n", - "82 Arms imports (SIPRI trend indicator values) \n", - "809 Share of tariff lines with specific rates, man... \n", - "810 Share of tariff lines with specific rates, pri... \n", - "269 Fuel imports (% of merchandise imports) \n", - "\n", - " Number of times repeated \n", - "278 47 \n", - "295 47 \n", - "401 46 \n", - "483 46 \n", - "375 46 \n", - ".. ... \n", - "152 1 \n", - "82 1 \n", - "809 1 \n", - "810 1 \n", - "269 1 \n", - "\n", - "[929 rows x 2 columns]" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "powerind=[]\n", - "for i in range(0, len(columnsf)):\n", - " powerind.append(columnssf.count(columnsf[i]))\n", - "\n", - "df_indicators = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Indicator','Number of times repeated'])\n", - "df_indicators=df_indicators.sort_values(by = 'Number of times repeated',ascending = False)\n", - "df_indicators" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -9043,7 +8646,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 71, "metadata": {}, "outputs": [ { From 19c6d13b55c5c9ea938eab08353e41c8709e9013 Mon Sep 17 00:00:00 2001 From: amarchve Date: Mon, 25 Jul 2022 09:06:18 +0200 Subject: [PATCH 08/86] json fix --- WDI-Complete code.ipynb | 1854 +++++++++++++++++++++++++++++++++------ 1 file changed, 1579 insertions(+), 275 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index f527eef..43699ca 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 86, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 87, "metadata": {}, "outputs": [ { @@ -434,7 +434,7 @@ "[384370 rows x 67 columns]" ] }, - "execution_count": 101, + "execution_count": 87, "metadata": {}, "output_type": "execute_result" } @@ -460,7 +460,7 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 88, "metadata": {}, "outputs": [], "source": [ @@ -506,7 +506,7 @@ }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 89, "metadata": {}, "outputs": [], "source": [ @@ -522,7 +522,7 @@ }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 90, "metadata": {}, "outputs": [], "source": [ @@ -538,7 +538,7 @@ }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 91, "metadata": {}, "outputs": [ { @@ -681,7 +681,7 @@ "[1769879 rows x 4 columns]" ] }, - "execution_count": 105, + "execution_count": 91, "metadata": {}, "output_type": "execute_result" } @@ -702,7 +702,7 @@ }, { "cell_type": "code", - "execution_count": 106, + "execution_count": 92, "metadata": {}, "outputs": [], "source": [ @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 107, + "execution_count": 93, "metadata": {}, "outputs": [ { @@ -724,7 +724,7 @@ "dtype: object" ] }, - "execution_count": 107, + "execution_count": 93, "metadata": {}, "output_type": "execute_result" } @@ -735,7 +735,7 @@ }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 94, "metadata": {}, "outputs": [ { @@ -878,7 +878,7 @@ "[1225418 rows x 4 columns]" ] }, - "execution_count": 108, + "execution_count": 94, "metadata": {}, "output_type": "execute_result" } @@ -890,7 +890,7 @@ }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 95, "metadata": {}, "outputs": [], "source": [ @@ -947,16 +947,16 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 96, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 110, + "execution_count": 96, "metadata": {}, "output_type": "execute_result" } @@ -968,7 +968,7 @@ }, { "cell_type": "code", - "execution_count": 111, + "execution_count": 97, "metadata": {}, "outputs": [ { @@ -1099,7 +1099,7 @@ "[59239 rows x 2 columns]" ] }, - "execution_count": 111, + "execution_count": 97, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 98, "metadata": {}, "outputs": [ { @@ -1224,7 +1224,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 112, + "execution_count": 98, "metadata": {}, "output_type": "execute_result" } @@ -1237,7 +1237,7 @@ }, { "cell_type": "code", - "execution_count": 113, + "execution_count": 99, "metadata": {}, "outputs": [ { @@ -1341,7 +1341,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 113, + "execution_count": 99, "metadata": {}, "output_type": "execute_result" } @@ -1361,7 +1361,7 @@ }, { "cell_type": "code", - "execution_count": 114, + "execution_count": 100, "metadata": {}, "outputs": [ { @@ -1528,7 +1528,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 114, + "execution_count": 100, "metadata": {}, "output_type": "execute_result" } @@ -1541,7 +1541,7 @@ }, { "cell_type": "code", - "execution_count": 115, + "execution_count": 101, "metadata": {}, "outputs": [ { @@ -1550,7 +1550,7 @@ "['Country Code', 'Indicator Name', 'Date', 'Value_x', 'Value_y', 'Value']" ] }, - "execution_count": 115, + "execution_count": 101, "metadata": {}, "output_type": "execute_result" } @@ -1568,7 +1568,7 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 102, "metadata": {}, "outputs": [ { @@ -1735,7 +1735,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 116, + "execution_count": 102, "metadata": {}, "output_type": "execute_result" } @@ -1754,7 +1754,7 @@ }, { "cell_type": "code", - "execution_count": 117, + "execution_count": 103, "metadata": {}, "outputs": [ { @@ -1921,7 +1921,7 @@ "[1189068 rows x 6 columns]" ] }, - "execution_count": 117, + "execution_count": 103, "metadata": {}, "output_type": "execute_result" } @@ -1940,7 +1940,7 @@ }, { "cell_type": "code", - "execution_count": 118, + "execution_count": 104, "metadata": {}, "outputs": [ { @@ -2083,7 +2083,7 @@ "[1189068 rows x 4 columns]" ] }, - "execution_count": 118, + "execution_count": 104, "metadata": {}, "output_type": "execute_result" } @@ -2095,7 +2095,7 @@ }, { "cell_type": "code", - "execution_count": 119, + "execution_count": 105, "metadata": {}, "outputs": [], "source": [ @@ -2104,7 +2104,7 @@ }, { "cell_type": "code", - "execution_count": 120, + "execution_count": 106, "metadata": {}, "outputs": [ { @@ -2685,7 +2685,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 120, + "execution_count": 106, "metadata": {}, "output_type": "execute_result" } @@ -2704,7 +2704,7 @@ }, { "cell_type": "code", - "execution_count": 121, + "execution_count": 107, "metadata": {}, "outputs": [ { @@ -2713,7 +2713,7 @@ "1016628" ] }, - "execution_count": 121, + "execution_count": 107, "metadata": {}, "output_type": "execute_result" } @@ -2738,7 +2738,7 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": 108, "metadata": {}, "outputs": [], "source": [ @@ -2762,7 +2762,7 @@ }, { "cell_type": "code", - "execution_count": 123, + "execution_count": 109, "metadata": {}, "outputs": [ { @@ -2771,7 +2771,7 @@ "685787" ] }, - "execution_count": 123, + "execution_count": 109, "metadata": {}, "output_type": "execute_result" } @@ -2797,7 +2797,7 @@ }, { "cell_type": "code", - "execution_count": 124, + "execution_count": 110, "metadata": {}, "outputs": [ { @@ -2806,7 +2806,7 @@ "498648" ] }, - "execution_count": 124, + "execution_count": 110, "metadata": {}, "output_type": "execute_result" } @@ -2832,7 +2832,7 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 111, "metadata": {}, "outputs": [ { @@ -2841,7 +2841,7 @@ "685787" ] }, - "execution_count": 125, + "execution_count": 111, "metadata": {}, "output_type": "execute_result" } @@ -2867,7 +2867,7 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": 112, "metadata": {}, "outputs": [ { @@ -2876,7 +2876,7 @@ "685787" ] }, - "execution_count": 126, + "execution_count": 112, "metadata": {}, "output_type": "execute_result" } @@ -2897,7 +2897,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 113, "metadata": {}, "outputs": [ { @@ -2906,7 +2906,7 @@ "310048" ] }, - "execution_count": 127, + "execution_count": 113, "metadata": {}, "output_type": "execute_result" } @@ -2934,7 +2934,7 @@ }, { "cell_type": "code", - "execution_count": 128, + "execution_count": 114, "metadata": {}, "outputs": [ { @@ -2943,7 +2943,7 @@ "310048" ] }, - "execution_count": 128, + "execution_count": 114, "metadata": {}, "output_type": "execute_result" } @@ -2987,7 +2987,7 @@ }, { "cell_type": "code", - "execution_count": 129, + "execution_count": 115, "metadata": {}, "outputs": [ { @@ -3568,7 +3568,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 129, + "execution_count": 115, "metadata": {}, "output_type": "execute_result" } @@ -3598,7 +3598,7 @@ }, { "cell_type": "code", - "execution_count": 130, + "execution_count": 116, "metadata": {}, "outputs": [ { @@ -4550,7 +4550,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 130, + "execution_count": 116, "metadata": {}, "output_type": "execute_result" } @@ -4572,7 +4572,7 @@ }, { "cell_type": "code", - "execution_count": 131, + "execution_count": 117, "metadata": {}, "outputs": [], "source": [ @@ -4581,7 +4581,7 @@ }, { "cell_type": "code", - "execution_count": 132, + "execution_count": 118, "metadata": {}, "outputs": [ { @@ -5149,7 +5149,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 132, + "execution_count": 118, "metadata": {}, "output_type": "execute_result" } @@ -5176,7 +5176,7 @@ }, { "cell_type": "code", - "execution_count": 133, + "execution_count": 119, "metadata": {}, "outputs": [ { @@ -5208,7 +5208,7 @@ }, { "cell_type": "code", - "execution_count": 134, + "execution_count": 120, "metadata": {}, "outputs": [ { @@ -5776,7 +5776,7 @@ "[1536 rows x 1061 columns]" ] }, - "execution_count": 134, + "execution_count": 120, "metadata": {}, "output_type": "execute_result" } @@ -5796,7 +5796,7 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 121, "metadata": {}, "outputs": [], "source": [ @@ -5805,7 +5805,7 @@ }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 122, "metadata": {}, "outputs": [], "source": [ @@ -5822,7 +5822,7 @@ }, { "cell_type": "code", - "execution_count": 137, + "execution_count": 123, "metadata": {}, "outputs": [], "source": [ @@ -5833,7 +5833,7 @@ }, { "cell_type": "code", - "execution_count": 138, + "execution_count": 124, "metadata": {}, "outputs": [ { @@ -5988,7 +5988,7 @@ "[1511903 rows x 5 columns]" ] }, - "execution_count": 138, + "execution_count": 124, "metadata": {}, "output_type": "execute_result" } @@ -6001,7 +6001,7 @@ }, { "cell_type": "code", - "execution_count": 139, + "execution_count": 125, "metadata": {}, "outputs": [ { @@ -6156,7 +6156,7 @@ "[1379204 rows x 5 columns]" ] }, - "execution_count": 139, + "execution_count": 125, "metadata": {}, "output_type": "execute_result" } @@ -6169,7 +6169,7 @@ }, { "cell_type": "code", - "execution_count": 140, + "execution_count": 126, "metadata": {}, "outputs": [], "source": [ @@ -6179,7 +6179,7 @@ }, { "cell_type": "code", - "execution_count": 141, + "execution_count": 127, "metadata": {}, "outputs": [ { @@ -6359,7 +6359,7 @@ "[1511903 rows x 6 columns]" ] }, - "execution_count": 141, + "execution_count": 127, "metadata": {}, "output_type": "execute_result" } @@ -6372,7 +6372,7 @@ }, { "cell_type": "code", - "execution_count": 142, + "execution_count": 128, "metadata": {}, "outputs": [ { @@ -6552,7 +6552,7 @@ "[1511903 rows x 6 columns]" ] }, - "execution_count": 142, + "execution_count": 128, "metadata": {}, "output_type": "execute_result" } @@ -6565,7 +6565,7 @@ }, { "cell_type": "code", - "execution_count": 143, + "execution_count": 129, "metadata": {}, "outputs": [ { @@ -6732,7 +6732,7 @@ "[4608 rows x 6 columns]" ] }, - "execution_count": 143, + "execution_count": 129, "metadata": {}, "output_type": "execute_result" } @@ -6745,7 +6745,7 @@ }, { "cell_type": "code", - "execution_count": 144, + "execution_count": 130, "metadata": {}, "outputs": [ { @@ -6950,7 +6950,7 @@ "[1511903 rows x 7 columns]" ] }, - "execution_count": 144, + "execution_count": 130, "metadata": {}, "output_type": "execute_result" } @@ -6963,7 +6963,7 @@ }, { "cell_type": "code", - "execution_count": 145, + "execution_count": 131, "metadata": {}, "outputs": [ { @@ -7180,7 +7180,7 @@ "[1511903 rows x 8 columns]" ] }, - "execution_count": 145, + "execution_count": 131, "metadata": {}, "output_type": "execute_result" } @@ -7193,7 +7193,7 @@ }, { "cell_type": "code", - "execution_count": 146, + "execution_count": 132, "metadata": {}, "outputs": [ { @@ -7410,7 +7410,7 @@ "[1511903 rows x 8 columns]" ] }, - "execution_count": 146, + "execution_count": 132, "metadata": {}, "output_type": "execute_result" } @@ -7423,7 +7423,7 @@ }, { "cell_type": "code", - "execution_count": 147, + "execution_count": 133, "metadata": {}, "outputs": [], "source": [ @@ -7434,7 +7434,7 @@ }, { "cell_type": "code", - "execution_count": 148, + "execution_count": 134, "metadata": {}, "outputs": [ { @@ -7651,7 +7651,7 @@ "[1511903 rows x 8 columns]" ] }, - "execution_count": 148, + "execution_count": 134, "metadata": {}, "output_type": "execute_result" } @@ -7662,7 +7662,7 @@ }, { "cell_type": "code", - "execution_count": 149, + "execution_count": 135, "metadata": {}, "outputs": [ { @@ -8067,7 +8067,7 @@ " dtype=object)" ] }, - "execution_count": 149, + "execution_count": 135, "metadata": {}, "output_type": "execute_result" } @@ -8092,7 +8092,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 136, "metadata": {}, "outputs": [], "source": [ @@ -8110,7 +8110,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 137, "metadata": {}, "outputs": [], "source": [ @@ -8135,7 +8135,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 138, "metadata": {}, "outputs": [], "source": [ @@ -8152,139 +8152,718 @@ }, { "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [], - "source": [ - "dat=df.loc[df.loc[:, 'Country'] == clist[0]]\n", - "listacorpe=[]\n", - "listacorsp=[]\n", - "clmns=dat.columns.values.tolist()\n", - "dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", - "for c in range(0, len(clmns)):\n", - " if dat[clmns[c]].isna().sum()>=1:\n", - " del(dat[clmns[c]])\n", - "pilares=dat.columns.values.tolist()\n", - "for u in range(0,len(pilares)):\n", - " if is_numeric_dtype(dat[pilares[u]]):\n", - " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$).l'])\n", - " if pvalue<=0.05:\n", - " listacorpe.append(pilares[u])\n", - " else:\n", - " pass\n", - " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$).l'])\n", - " if pvalue<=0.05:\n", - " listacorsp.append(pilares[u])\n", - " else:\n", - " pass\n", - " else:\n", - " pass" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Secondly, we need to calculate the correlation table for each country, therefore we use the basic function `corr()` which provides either the Pearson correlation table or the Spearman correlation table, as well as a filter for the countries." - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [], - "source": [ - "dat=df.loc[df.loc[:, 'Country'] == clist[0]]\n", - "\n", - "datp=dat[dat.columns[dat.columns.isin(listacorpe)]]\n", - "corp=datp.corr('pearson')\n", - "\n", - "datsp=dat[dat.columns[dat.columns.isin(listacorsp)]]\n", - "cors=datsp.corr('spearman')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Then we calculate the coefficient of determination which is the correlation squared." - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": {}, - "outputs": [], - "source": [ - "corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$).l']**2\n", - "\n", - "cors.loc[:,'R^2 Spearman'] = cors['GDP (current US$).l']**2" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Moreover, we are going to create new columns to know which *Indicator* are we talking about, and the *Type* of correlation that is being analyzed (linear, cuadratic, cubic or logarithmic)" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [], - "source": [ - "corp.loc[:,'Indicator']=corp.index\n", - "corp[['Indicator','Type']]=corp.Indicator.str.split('.',1, expand=True)\n", - "\n", - "cors.loc[:,'Indicator']=cors.index\n", - "cors[['Indicator','Type']]=cors.Indicator.str.split('.',1, expand=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we can apply the filter we have consider that is enough, R^2>=0.75 to filter the correlations." - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [], - "source": [ - "corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$).l']]\n", - "corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= 0.75]\n", - "\n", - "corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", - "corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.75]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Furthermore, we add all the columns that we have created into a data frame, thanks to the following cell." - ] - }, - { - "cell_type": "code", - "execution_count": 66, + "execution_count": 139, "metadata": {}, - "outputs": [], - "source": [ - "idp=corpcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corpcolumn['R^2 Pearson']\n", - "corpcolumn[idp]\n", - "maxp_df=pd.DataFrame(corpcolumn[idp])\n", - "\n", - "ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", - "corscolumn[ids]\n", - "maxs_df=pd.DataFrame(corscolumn[ids])" - ] - }, - { - "cell_type": "markdown", + "outputs": [ + { + "data": { + "text/html": [ + "
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clist[0]]\n", + "listacorpe=[]\n", + "listacorsp=[]\n", + "clmns=dat.columns.values.tolist()\n", + "dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", + "for c in range(0, len(clmns)):\n", + " if dat[clmns[c]].isna().sum()>=1:\n", + " del(dat[clmns[c]])\n", + "pilares=dat.columns.values.tolist()\n", + "for u in range(0,len(pilares)):\n", + " if is_numeric_dtype(dat[pilares[u]]):\n", + " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$).l'])\n", + " if pvalue<=0.05:\n", + " listacorpe.append(pilares[u])\n", + " else:\n", + " pass\n", + " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$).l'])\n", + " if pvalue<=0.05:\n", + " listacorsp.append(pilares[u])\n", + " else:\n", + " pass\n", + " else:\n", + " pass" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Secondly, we need to calculate the correlation table for each country, therefore we use the basic function `corr()` which provides either the Pearson correlation table or the Spearman correlation table, as well as a filter for the countries." + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "metadata": {}, + "outputs": [], + "source": [ + "dat=df.loc[df.loc[:, 'Country'] == clist[0]]\n", + "\n", + "datp=dat[dat.columns[dat.columns.isin(listacorpe)]]\n", + "corp=datp.corr('pearson')\n", + "\n", + "datsp=dat[dat.columns[dat.columns.isin(listacorsp)]]\n", + "cors=datsp.corr('spearman')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then we calculate the coefficient of determination which is the correlation squared." + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "metadata": {}, + "outputs": [], + "source": [ + "corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$).l']**2\n", + "\n", + "cors.loc[:,'R^2 Spearman'] = cors['GDP (current US$).l']**2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Moreover, we are going to create new columns to know which *Indicator* are we talking about, and the *Type* of correlation that is being analyzed (linear, cuadratic, cubic or logarithmic)" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "metadata": {}, + "outputs": [], + "source": [ + "corp.loc[:,'Indicator']=corp.index\n", + "corp[['Indicator','Type']]=corp.Indicator.str.split('.',1, expand=True)\n", + "\n", + "cors.loc[:,'Indicator']=cors.index\n", + "cors[['Indicator','Type']]=cors.Indicator.str.split('.',1, expand=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we can apply the filter we have consider that is enough, R^2>=0.75 to filter the correlations." + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "metadata": {}, + "outputs": [], + "source": [ + "corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$).l']]\n", + "corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= 0.75]\n", + "\n", + "corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", + "corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.75]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Furthermore, we add all the columns that we have created into a data frame, thanks to the following cell." + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "metadata": {}, + "outputs": [], + "source": [ + "idp=corpcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corpcolumn['R^2 Pearson']\n", + "corpcolumn[idp]\n", + "maxp_df=pd.DataFrame(corpcolumn[idp])\n", + "\n", + "ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", + "corscolumn[ids]\n", + "maxs_df=pd.DataFrame(corscolumn[ids])" + ] + }, + { + "cell_type": "markdown", "metadata": {}, "source": [ "Here, we conmute the values, by expressions. For example if the correlation is positive, we want in the new column called *Behaviour* the word Positive. Or for the *Type* column if the greatest correlation is cuadratic we want to put, Cuadratic. We also add the country." @@ -8292,7 +8871,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 145, "metadata": {}, "outputs": [], "source": [ @@ -8314,7 +8893,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 146, "metadata": {}, "outputs": [], "source": [ @@ -8341,7 +8920,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 147, "metadata": {}, "outputs": [], "source": [ @@ -8354,12 +8933,591 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "So, we can do it with all the countries and create just one dataframe." + "So, we can do it with all the countries and create just one dataframe." + ] + }, + { + "cell_type": "code", + "execution_count": 148, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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1.126577 \n", + "1532 1.126577 \n", + "1533 1.126577 \n", + "1534 1.126577 \n", + "1535 1.126577 \n", + "\n", + " Women Business and the Law Index Score (scale 1-100).^3 \\\n", + "0 1.000000 \n", + "1 1.000000 \n", + "2 1.000000 \n", + "3 1.000000 \n", + "4 1.000000 \n", + "... ... \n", + "1531 1.195753 \n", + "1532 1.195753 \n", + "1533 1.195753 \n", + "1534 1.195753 \n", + "1535 1.195753 \n", + "\n", + " Women Business and the Law Index Score (scale 1-100).log \n", + "0 0.000000 \n", + "1 0.000000 \n", + "2 0.000000 \n", + "3 0.000000 \n", + "4 0.000000 \n", + "... ... \n", + "1531 0.059592 \n", + "1532 0.059592 \n", + "1533 0.059592 \n", + "1534 0.059592 \n", + "1535 0.059592 \n", + "\n", + "[1536 rows x 4236 columns]" + ] + }, + "execution_count": 148, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" ] }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 149, "metadata": {}, "outputs": [ { @@ -8394,21 +9552,21 @@ " \n", " \n", " 0\n", - " Gross value added at basic prices (GVA) (curre...\n", + " Adjusted net national income (current US$)\n", " 0.996519\n", " Linear\n", " Positive\n", " DEU\n", - " 0.999851\n", + " 0.999141\n", " \n", " \n", " 1\n", - " Adjusted net national income (current US$)\n", + " Gross value added at basic prices (GVA) (curre...\n", " 0.996519\n", " Linear\n", " Positive\n", " DEU\n", - " 0.999141\n", + " 0.999851\n", " \n", " \n", " 2\n", @@ -8430,12 +9588,12 @@ " \n", " \n", " 4\n", - " GDP per capita (current US$)\n", + " Final consumption expenditure (current US$)\n", " 0.988302\n", " Linear\n", " Positive\n", " DEU\n", - " 0.997925\n", + " 0.996540\n", " \n", " \n", " ...\n", @@ -8447,83 +9605,83 @@ " ...\n", " \n", " \n", - " 68875\n", - " Account ownership at a financial institution o...\n", - " 0.625751\n", + " 14012\n", + " Out-of-pocket expenditure (% of current health...\n", + " 0.782573\n", " Logarithmic\n", - " Positive\n", + " Negative\n", " CHN\n", - " 0.842567\n", + " 0.929883\n", " \n", " \n", - " 68876\n", - " Commercial bank branches (per 100,000 adults)\n", - " 0.610583\n", + " 14013\n", + " Revenue, excluding grants (% of GDP)\n", + " 0.778198\n", " Logarithmic\n", " Positive\n", " CHN\n", - " 0.759273\n", + " 0.795803\n", " \n", " \n", - " 68877\n", - " Commercial bank branches (per 100,000 adults)\n", - " 0.610583\n", - " Logarithmic\n", + " 14014\n", + " Taxes on goods and services (current LCU)\n", + " 0.776123\n", + " Linear\n", " Positive\n", " CHN\n", - " 0.759273\n", + " 0.978917\n", " \n", " \n", - " 68878\n", - " Commercial bank branches (per 100,000 adults)\n", - " 0.610583\n", + " 14015\n", + " Access to clean fuels and technologies for coo...\n", + " 0.772788\n", " Logarithmic\n", " Positive\n", " CHN\n", - " 0.759273\n", + " 0.990567\n", " \n", " \n", - " 68879\n", - " Commercial bank branches (per 100,000 adults)\n", - " 0.610583\n", - " Logarithmic\n", + " 14016\n", + " Domestic general government health expenditure...\n", + " 0.758910\n", + " Cubic\n", " Positive\n", " CHN\n", - " 0.759273\n", + " 0.797637\n", " \n", " \n", "\n", - "

68880 rows × 6 columns

\n", + "

14017 rows × 6 columns

\n", "" ], "text/plain": [ " Indicator R^2 Spearman \\\n", - "0 Gross value added at basic prices (GVA) (curre... 0.996519 \n", - "1 Adjusted net national income (current US$) 0.996519 \n", + "0 Adjusted net national income (current US$) 0.996519 \n", + "1 Gross value added at basic prices (GVA) (curre... 0.996519 \n", "2 GNI (current US$) 0.996337 \n", "3 Gross national expenditure (current US$) 0.990490 \n", - "4 GDP per capita (current US$) 0.988302 \n", + "4 Final consumption expenditure (current US$) 0.988302 \n", "... ... ... \n", - "68875 Account ownership at a financial institution o... 0.625751 \n", - "68876 Commercial bank branches (per 100,000 adults) 0.610583 \n", - "68877 Commercial bank branches (per 100,000 adults) 0.610583 \n", - "68878 Commercial bank branches (per 100,000 adults) 0.610583 \n", - "68879 Commercial bank branches (per 100,000 adults) 0.610583 \n", + "14012 Out-of-pocket expenditure (% of current health... 0.782573 \n", + "14013 Revenue, excluding grants (% of GDP) 0.778198 \n", + "14014 Taxes on goods and services (current LCU) 0.776123 \n", + "14015 Access to clean fuels and technologies for coo... 0.772788 \n", + "14016 Domestic general government health expenditure... 0.758910 \n", "\n", " Type Behaviour Country R^2 Pearson \n", - "0 Linear Positive DEU 0.999851 \n", - "1 Linear Positive DEU 0.999141 \n", + "0 Linear Positive DEU 0.999141 \n", + "1 Linear Positive DEU 0.999851 \n", "2 Linear Positive DEU 0.999362 \n", "3 Linear Positive DEU 0.997181 \n", - "4 Linear Positive DEU 0.997925 \n", + "4 Linear Positive DEU 0.996540 \n", "... ... ... ... ... \n", - "68875 Logarithmic Positive CHN 0.842567 \n", - "68876 Logarithmic Positive CHN 0.759273 \n", - "68877 Logarithmic Positive CHN 0.759273 \n", - "68878 Logarithmic Positive CHN 0.759273 \n", - "68879 Logarithmic Positive CHN 0.759273 \n", + "14012 Logarithmic Negative CHN 0.929883 \n", + "14013 Logarithmic Positive CHN 0.795803 \n", + "14014 Linear Positive CHN 0.978917 \n", + "14015 Logarithmic Positive CHN 0.990567 \n", + "14016 Cubic Positive CHN 0.797637 \n", "\n", - "[68880 rows x 6 columns]" + "[14017 rows x 6 columns]" ] }, "metadata": {}, @@ -8583,7 +9741,7 @@ " corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= 0.75]\n", " \n", " corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", - " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.6]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.75]\n", "\n", "\n", " idp=corpcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corpcolumn['R^2 Pearson']\n", @@ -8626,6 +9784,152 @@ "display(corrtable)" ] }, + { + "cell_type": "code", + "execution_count": 150, + "metadata": {}, + "outputs": [], + "source": [ + "columnssf=corrtable.Indicator.to_list()\n", + "columnsf=np.unique(columnssf)" + ] + }, + { + "cell_type": "code", + "execution_count": 151, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorNumber of times repeated
277GNI per capita, Atlas method (current US$)46
373Industry (including construction), value added...46
260GDP per capita (current US$)46
273GNI (current US$)46
280GNI, Atlas method (current US$)46
.........
463Merchandise exports to economies in the Arab W...1
299Gross capital formation (% of GDP)1
25Adjusted savings: net national savings (% of GNI)1
787Surface area (sq1
512Net capital account (BoP, current US$)1
\n", + "

887 rows × 2 columns

\n", + "
" + ], + "text/plain": [ + " Indicator \\\n", + "277 GNI per capita, Atlas method (current US$) \n", + "373 Industry (including construction), value added... \n", + "260 GDP per capita (current US$) \n", + "273 GNI (current US$) \n", + "280 GNI, Atlas method (current US$) \n", + ".. ... \n", + "463 Merchandise exports to economies in the Arab W... \n", + "299 Gross capital formation (% of GDP) \n", + "25 Adjusted savings: net national savings (% of GNI) \n", + "787 Surface area (sq \n", + "512 Net capital account (BoP, current US$) \n", + "\n", + " Number of times repeated \n", + "277 46 \n", + "373 46 \n", + "260 46 \n", + "273 46 \n", + "280 46 \n", + ".. ... \n", + "463 1 \n", + "299 1 \n", + "25 1 \n", + "787 1 \n", + "512 1 \n", + "\n", + "[887 rows x 2 columns]" + ] + }, + "execution_count": 151, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "powerind=[]\n", + "for i in range(0, len(columnsf)):\n", + " powerind.append(columnssf.count(columnsf[i]))\n", + "\n", + "df_indicators = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Indicator','Number of times repeated'])\n", + "df_indicators=df_indicators.sort_values(by = 'Number of times repeated',ascending = False)\n", + "df_indicators" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -12286,7 +13590,7 @@ }, "vscode": { "interpreter": { - "hash": "292912297167048338b5d1136ec8c661b8a2f1d3fcecd6650d637809a967c218" + "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" } } }, From 557cf8d50a0037b61009b1c3f4bf172ef8a0c620 Mon Sep 17 00:00:00 2001 From: Mferna38 Date: Mon, 25 Jul 2022 11:48:08 +0200 Subject: [PATCH 09/86] Categories ended --- WDI-Complete code.ipynb | 938 ++++++++++++++++++++++++---------------- 1 file changed, 566 insertions(+), 372 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 43699ca..29ba44b 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -434,7 +434,7 @@ "[384370 rows x 67 columns]" ] }, - "execution_count": 87, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -460,7 +460,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -506,7 +506,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -522,7 +522,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -538,7 +538,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -681,7 +681,7 @@ "[1769879 rows x 4 columns]" ] }, - "execution_count": 91, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -702,7 +702,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -724,7 +724,7 @@ "dtype: object" ] }, - "execution_count": 93, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -735,7 +735,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -878,7 +878,7 @@ "[1225418 rows x 4 columns]" ] }, - "execution_count": 94, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -890,7 +890,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -947,16 +947,16 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 96, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -968,7 +968,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -1099,7 +1099,7 @@ "[59239 rows x 2 columns]" ] }, - "execution_count": 97, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1224,7 +1224,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 98, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1237,7 +1237,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -1341,7 +1341,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 99, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1361,7 +1361,7 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -1528,7 +1528,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 100, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1541,7 +1541,7 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -1550,7 +1550,7 @@ "['Country Code', 'Indicator Name', 'Date', 'Value_x', 'Value_y', 'Value']" ] }, - "execution_count": 101, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1568,7 +1568,7 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1735,7 +1735,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 102, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -1754,7 +1754,7 @@ }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1921,7 +1921,7 @@ "[1189068 rows x 6 columns]" ] }, - "execution_count": 103, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1940,7 +1940,7 @@ }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -2083,7 +2083,7 @@ "[1189068 rows x 4 columns]" ] }, - "execution_count": 104, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -2095,7 +2095,7 @@ }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -2104,7 +2104,7 @@ }, { "cell_type": "code", - "execution_count": 106, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -2685,7 +2685,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 106, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -2704,7 +2704,7 @@ }, { "cell_type": "code", - "execution_count": 107, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -2713,7 +2713,7 @@ "1016628" ] }, - "execution_count": 107, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -2738,7 +2738,7 @@ }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -2762,7 +2762,7 @@ }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -2771,7 +2771,7 @@ "685787" ] }, - "execution_count": 109, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -2797,7 +2797,7 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -2806,7 +2806,7 @@ "498648" ] }, - "execution_count": 110, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -2832,7 +2832,7 @@ }, { "cell_type": "code", - "execution_count": 111, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -2841,7 +2841,7 @@ "685787" ] }, - "execution_count": 111, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -2867,7 +2867,7 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -2876,7 +2876,7 @@ "685787" ] }, - "execution_count": 112, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -2897,7 +2897,7 @@ }, { "cell_type": "code", - "execution_count": 113, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -2906,7 +2906,7 @@ "310048" ] }, - "execution_count": 113, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -2934,7 +2934,7 @@ }, { "cell_type": "code", - "execution_count": 114, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -2943,7 +2943,7 @@ "310048" ] }, - "execution_count": 114, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -2987,7 +2987,7 @@ }, { "cell_type": "code", - "execution_count": 115, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -3568,7 +3568,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 115, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -3598,7 +3598,7 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -4550,7 +4550,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 116, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -4572,7 +4572,7 @@ }, { "cell_type": "code", - "execution_count": 117, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -4581,7 +4581,7 @@ }, { "cell_type": "code", - "execution_count": 118, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -5149,7 +5149,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 118, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -5176,7 +5176,7 @@ }, { "cell_type": "code", - "execution_count": 119, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -5208,7 +5208,7 @@ }, { "cell_type": "code", - "execution_count": 120, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -5776,7 +5776,7 @@ "[1536 rows x 1061 columns]" ] }, - "execution_count": 120, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -5796,7 +5796,7 @@ }, { "cell_type": "code", - "execution_count": 121, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -5805,7 +5805,7 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -5822,7 +5822,7 @@ }, { "cell_type": "code", - "execution_count": 123, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -5833,7 +5833,7 @@ }, { "cell_type": "code", - "execution_count": 124, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -5988,7 +5988,7 @@ "[1511903 rows x 5 columns]" ] }, - "execution_count": 124, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -6001,7 +6001,7 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -6156,7 +6156,7 @@ "[1379204 rows x 5 columns]" ] }, - "execution_count": 125, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -6169,7 +6169,7 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -6179,7 +6179,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -6359,20 +6359,20 @@ "[1511903 rows x 6 columns]" ] }, - "execution_count": 127, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Make a new column with the units, that are the string inside the first parenthesis of the indicator name column.\n", + "#Make a new column with the units, that correspond to the string inside the first parenthesis of the indicator name column.\n", "Categorization['Units']=Categorization['Indicator Name'].str.extract('(\\(.*\\))')\n", "Categorization" ] }, { "cell_type": "code", - "execution_count": 128, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -6552,7 +6552,7 @@ "[1511903 rows x 6 columns]" ] }, - "execution_count": 128, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -6565,7 +6565,7 @@ }, { "cell_type": "code", - "execution_count": 129, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -6732,7 +6732,7 @@ "[4608 rows x 6 columns]" ] }, - "execution_count": 129, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -6745,7 +6745,7 @@ }, { "cell_type": "code", - "execution_count": 130, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -6950,7 +6950,7 @@ "[1511903 rows x 7 columns]" ] }, - "execution_count": 130, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -6963,7 +6963,7 @@ }, { "cell_type": "code", - "execution_count": 131, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -6993,8 +6993,6 @@ " Indicator Name\n", " 0\n", " Units\n", - " Other specification\n", - " Subgroup\n", " \n", " \n", " \n", @@ -7006,8 +7004,6 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " (% of population)\n", - " None\n", - " NaN\n", " \n", " \n", " 1\n", @@ -7017,8 +7013,6 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " (% of rural population)\n", - " None\n", - " rural\n", " \n", " \n", " 2\n", @@ -7028,8 +7022,6 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " (% of urban population)\n", - " None\n", - " urban\n", " \n", " \n", " 3\n", @@ -7039,8 +7031,6 @@ " Access to electricity\n", " 1.000000\n", " (% of population)\n", - " None\n", - " NaN\n", " \n", " \n", " 4\n", @@ -7050,8 +7040,6 @@ " Access to electricity, rural\n", " 1.000000\n", " (% of rural population)\n", - " None\n", - " rural\n", " \n", " \n", " ...\n", @@ -7061,8 +7049,6 @@ " ...\n", " ...\n", " ...\n", - " ...\n", - " ...\n", " \n", " \n", " 1511898\n", @@ -7072,8 +7058,6 @@ " Wage and salaried workers, female\n", " 0.588267\n", " (% of female employment\n", - " (modeled ILO estimate)\n", - " female\n", " \n", " \n", " 1511899\n", @@ -7083,8 +7067,6 @@ " Wage and salaried workers, male\n", " 0.631579\n", " (% of male employment\n", - " (modeled ILO estimate)\n", - " male\n", " \n", " \n", " 1511900\n", @@ -7094,8 +7076,6 @@ " Wage and salaried workers, total\n", " 0.612643\n", " (% of total employment\n", - " (modeled ILO estimate)\n", - " total\n", " \n", " \n", " 1511901\n", @@ -7105,8 +7085,6 @@ " Water productivity, total\n", " 0.391767\n", " (constant 2015 US$ GDP per cubic meter of tota...\n", - " None\n", - " total\n", " \n", " \n", " 1511902\n", @@ -7116,12 +7094,10 @@ " Women Business and the Law Index Score\n", " 1.061404\n", " (scale 1-100)\n", - " None\n", - " NaN\n", " \n", " \n", "\n", - "

1511903 rows × 8 columns

\n", + "

1511903 rows × 6 columns

\n", "" ], "text/plain": [ @@ -7151,49 +7127,36 @@ "1511901 Water productivity, total 0.391767 \n", "1511902 Women Business and the Law Index Score 1.061404 \n", "\n", - " Units \\\n", - "0 (% of population) \n", - "1 (% of rural population) \n", - "2 (% of urban population) \n", - "3 (% of population) \n", - "4 (% of rural population) \n", - "... ... \n", - "1511898 (% of female employment \n", - "1511899 (% of male employment \n", - "1511900 (% of total employment \n", - "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", - "1511902 (scale 1-100) \n", - "\n", - " Other specification Subgroup \n", - "0 None NaN \n", - "1 None rural \n", - "2 None urban \n", - "3 None NaN \n", - "4 None rural \n", - "... ... ... \n", - "1511898 (modeled ILO estimate) female \n", - "1511899 (modeled ILO estimate) male \n", - "1511900 (modeled ILO estimate) total \n", - "1511901 None total \n", - "1511902 None NaN \n", + " Units \n", + "0 (% of population) \n", + "1 (% of rural population) \n", + "2 (% of urban population) \n", + "3 (% of population) \n", + "4 (% of rural population) \n", + "... ... \n", + "1511898 (% of female employment \n", + "1511899 (% of male employment \n", + "1511900 (% of total employment \n", + "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", + "1511902 (scale 1-100) \n", "\n", - "[1511903 rows x 8 columns]" + "[1511903 rows x 6 columns]" ] }, - "execution_count": 131, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Getting the subclassification of some variables that have information divided for small groups.\n", - "Categorization[['Subgroup']]=Categorization['Indicator Name'].str.extract(', (\\w+)')\n", - "Categorization" + "#Checking of previous step, as not all of them have this second element.\n", + "Categorization['Other specification'].unique()\n", + "Categorization.drop(columns='Other specification')" ] }, { "cell_type": "code", - "execution_count": 132, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -7277,7 +7240,7 @@ " DEU\n", " 1990\n", " Europe\n", - " Access to electricity\n", + " Access to electricity, rural\n", " 1.000000\n", " (% of rural population)\n", " None\n", @@ -7299,7 +7262,7 @@ " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers\n", + " Wage and salaried workers, female\n", " 0.588267\n", " (% of female employment\n", " (modeled ILO estimate)\n", @@ -7310,7 +7273,7 @@ " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers\n", + " Wage and salaried workers, male\n", " 0.631579\n", " (% of male employment\n", " (modeled ILO estimate)\n", @@ -7321,7 +7284,7 @@ " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers\n", + " Wage and salaried workers, total\n", " 0.612643\n", " (% of total employment\n", " (modeled ILO estimate)\n", @@ -7332,7 +7295,7 @@ " CHN\n", " 2021\n", " Pair\n", - " Water productivity\n", + " Water productivity, total\n", " 0.391767\n", " (constant 2015 US$ GDP per cubic meter of tota...\n", " None\n", @@ -7373,12 +7336,12 @@ "1 Access to clean fuels and technologies for coo... 1.000000 \n", "2 Access to clean fuels and technologies for coo... 1.000000 \n", "3 Access to electricity 1.000000 \n", - "4 Access to electricity 1.000000 \n", + "4 Access to electricity, rural 1.000000 \n", "... ... ... \n", - "1511898 Wage and salaried workers 0.588267 \n", - "1511899 Wage and salaried workers 0.631579 \n", - "1511900 Wage and salaried workers 0.612643 \n", - "1511901 Water productivity 0.391767 \n", + "1511898 Wage and salaried workers, female 0.588267 \n", + "1511899 Wage and salaried workers, male 0.631579 \n", + "1511900 Wage and salaried workers, total 0.612643 \n", + "1511901 Water productivity, total 0.391767 \n", "1511902 Women Business and the Law Index Score 1.061404 \n", "\n", " Units \\\n", @@ -7394,47 +7357,36 @@ "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", "1511902 (scale 1-100) \n", "\n", - " Other specification Subgroup \n", - "0 None NaN \n", - "1 None rural \n", - "2 None urban \n", - "3 None NaN \n", - "4 None rural \n", - "... ... ... \n", - "1511898 (modeled ILO estimate) female \n", - "1511899 (modeled ILO estimate) male \n", - "1511900 (modeled ILO estimate) total \n", - "1511901 None total \n", - "1511902 None NaN \n", + " Other specification Subgroup \n", + "0 None NaN \n", + "1 None rural \n", + "2 None urban \n", + "3 None NaN \n", + "4 None rural \n", + "... ... ... \n", + "1511898 (modeled ILO estimate) female \n", + "1511899 (modeled ILO estimate) male \n", + "1511900 (modeled ILO estimate) total \n", + "1511901 None total \n", + "1511902 None NaN \n", "\n", "[1511903 rows x 8 columns]" ] }, - "execution_count": 132, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Delete the extracted information from origin column. \n", - "Categorization['Indicator Name']=Categorization['Indicator Name'].str.replace(', (\\w+)',\"\")\n", + "#Getting the subclassification of some variables that have information divided for small groups. These categorization is specified at the end of the variable separated by a \",\".\n", + "Categorization[['Subgroup']]=Categorization['Indicator Name'].str.extract(',(?P[^,]*?)$')\n", "Categorization" ] }, { "cell_type": "code", - "execution_count": 133, - "metadata": {}, - "outputs": [], - "source": [ - "#Checking of previous step, as not all of them have this second element.\n", - "Categorization['Subgroup']=Categorization['Subgroup'].replace(['None'],['total'])\n", - "Categorization['Subgroup']=Categorization['Subgroup'].fillna('total')" - ] - }, - { - "cell_type": "code", - "execution_count": 134, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -7478,7 +7430,7 @@ " 1.000000\n", " (% of population)\n", " None\n", - " total\n", + " NaN\n", " \n", " \n", " 1\n", @@ -7511,7 +7463,7 @@ " 1.000000\n", " (% of population)\n", " None\n", - " total\n", + " NaN\n", " \n", " \n", " 4\n", @@ -7588,7 +7540,7 @@ " 1.061404\n", " (scale 1-100)\n", " None\n", - " total\n", + " NaN\n", " \n", " \n", "\n", @@ -7614,12 +7566,12 @@ "1 Access to clean fuels and technologies for coo... 1.000000 \n", "2 Access to clean fuels and technologies for coo... 1.000000 \n", "3 Access to electricity 1.000000 \n", - "4 Access to electricity 1.000000 \n", + "4 Access to electricity 1.000000 \n", "... ... ... \n", - "1511898 Wage and salaried workers 0.588267 \n", - "1511899 Wage and salaried workers 0.631579 \n", - "1511900 Wage and salaried workers 0.612643 \n", - "1511901 Water productivity 0.391767 \n", + "1511898 Wage and salaried workers 0.588267 \n", + "1511899 Wage and salaried workers 0.631579 \n", + "1511900 Wage and salaried workers 0.612643 \n", + "1511901 Water productivity 0.391767 \n", "1511902 Women Business and the Law Index Score 1.061404 \n", "\n", " Units \\\n", @@ -7635,50 +7587,61 @@ "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", "1511902 (scale 1-100) \n", "\n", - " Other specification Subgroup \n", - "0 None total \n", - "1 None rural \n", - "2 None urban \n", - "3 None total \n", - "4 None rural \n", - "... ... ... \n", - "1511898 (modeled ILO estimate) female \n", - "1511899 (modeled ILO estimate) male \n", - "1511900 (modeled ILO estimate) total \n", - "1511901 None total \n", - "1511902 None total \n", + " Other specification Subgroup \n", + "0 None NaN \n", + "1 None rural \n", + "2 None urban \n", + "3 None NaN \n", + "4 None rural \n", + "... ... ... \n", + "1511898 (modeled ILO estimate) female \n", + "1511899 (modeled ILO estimate) male \n", + "1511900 (modeled ILO estimate) total \n", + "1511901 None total \n", + "1511902 None NaN \n", "\n", "[1511903 rows x 8 columns]" ] }, - "execution_count": 134, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "#Delete the extracted information from origin column. \n", + "Categorization['Indicator Name']=Categorization['Indicator Name'].str.replace(',(?P[^,]*?)$',\"\")\n", "Categorization" ] }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "#Checking of previous step, as not all of them have this second element.\n", + "Categorization['Subgroup']=Categorization['Subgroup'].replace(['None'],['total'])\n", + "Categorization['Subgroup']=Categorization['Subgroup'].fillna('total')" + ] + }, + { + "cell_type": "code", + "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['Access to clean fuels and technologies for cooking ',\n", - " 'Access to electricity ',\n", + " 'Access to clean fuels and technologies for cooking',\n", + " 'Access to electricity ', 'Access to electricity',\n", " 'Account ownership at a financial institution or with a mobile-money-service provider ',\n", - " 'Account ownership at a financial institution or with a mobile-money-service provider adults ',\n", - " 'Account ownership at a financial institution or with a mobile-money-service provider 40% ',\n", - " 'Account ownership at a financial institution or with a mobile-money-service provider education or less ',\n", - " 'Account ownership at a financial institution or with a mobile-money-service provider 60% ',\n", - " 'Account ownership at a financial institution or with a mobile-money-service provider education or more ',\n", - " 'Adjusted net enrollment rate ', 'Adjusted net national income ',\n", - " 'Adjusted net national income per capita ',\n", - " 'Adjusted net savings particulate emission damage ',\n", + " 'Account ownership at a financial institution or with a mobile-money-service provider',\n", + " 'Adjusted net enrollment rate',\n", + " 'Adjusted net enrollment rate, primary',\n", + " 'Adjusted net national income ',\n", + " 'Adjusted net national income per capita ', 'Adjusted net savings',\n", " 'Adjusted savings: carbon dioxide damage ',\n", " 'Adjusted savings: consumption of fixed capital ',\n", " 'Adjusted savings: education expenditure ',\n", @@ -7689,70 +7652,68 @@ " 'Adjusted savings: net national savings ',\n", " 'Adjusted savings: particulate emission damage ',\n", " 'Adolescent fertility rate ', 'Adolescents out of school ',\n", - " 'Age dependency ratio ', 'Agricultural irrigated land ',\n", + " 'Adolescents out of school', 'Age dependency ratio ',\n", + " 'Age dependency ratio', 'Agricultural irrigated land ',\n", " 'Agricultural land ', 'Agricultural machinery',\n", - " 'Agricultural machinery per 100 sq. km of arable land',\n", " 'Agricultural methane emissions ',\n", " 'Agricultural nitrous oxide emissions ',\n", " 'Agricultural raw materials exports ',\n", " 'Agricultural raw materials imports ',\n", - " 'Agriculture fishing added ',\n", - " 'Agriculture fishing added per worker ', 'Air transport ',\n", - " 'Air transport carried',\n", - " 'Air transport carrier departures worldwide',\n", - " 'Alternative and nuclear energy ',\n", - " 'Annual freshwater withdrawals ', 'Aquaculture production ',\n", - " 'Arable land ', 'Armed forces personnel ',\n", - " 'Armed forces personnel', 'Arms exports ', 'Arms imports ',\n", - " 'Automated teller machines ', 'Average precipitation in depth ',\n", + " 'Agriculture, forestry, and fishing', 'Air transport',\n", + " 'Alternative and nuclear energy ', 'Annual freshwater withdrawals',\n", + " 'Aquaculture production ', 'Arable land ',\n", + " 'Armed forces personnel ', 'Armed forces personnel',\n", + " 'Arms exports ', 'Arms imports ', 'Automated teller machines ',\n", + " 'Average precipitation in depth ',\n", " 'Average time to clear exports through customs ',\n", - " 'Binding coverage products ', 'Bird species', 'Birth rate ',\n", + " 'Binding coverage', 'Bird species', 'Birth rate',\n", " 'Births attended by skilled health staff ',\n", - " 'Bound rate mean products ',\n", - " 'Business extent of disclosure index ', 'CO2 emissions ',\n", - " 'CO2 emissions from electricity and heat production ',\n", + " 'Bound rate, simple mean', 'Business extent of disclosure index ',\n", + " 'CO2 emissions ',\n", + " 'CO2 emissions from electricity and heat production',\n", " 'CO2 emissions from gaseous fuel consumption ',\n", " 'CO2 emissions from liquid fuel consumption ',\n", " 'CO2 emissions from manufacturing industries and construction ',\n", - " 'CO2 emissions from other sectors residential buildings and commercial and public services ',\n", + " 'CO2 emissions from other sectors',\n", " 'CO2 emissions from residential buildings and commercial and public services ',\n", " 'CO2 emissions from solid fuel consumption ',\n", " 'CO2 emissions from transport ', 'CO2 intensity ',\n", " 'Capture fisheries production ',\n", - " 'Cause of death communicable diseases and maternal and nutrition conditions ',\n", - " 'Cause of death injury ',\n", - " 'Cause of death non-communicable diseases ', 'Cereal production ',\n", - " 'Cereal yield ', 'Changes in inventories ',\n", - " 'Charges for the use of intellectual property ', 'Chemicals ',\n", + " 'Cause of death, by communicable diseases and maternal',\n", + " 'Cause of death', 'Cereal production ', 'Cereal yield ',\n", + " 'Changes in inventories ',\n", + " 'Charges for the use of intellectual property', 'Chemicals ',\n", " 'Children out of school ', 'Children out of school',\n", - " 'Claims on central government. ', 'Coal rents ',\n", - " 'Combustible renewables and waste ', 'Commercial bank branches ',\n", - " 'Commercial service exports ', 'Commercial service imports ',\n", - " 'Communications. ', 'Completeness of birth registration ',\n", - " 'Compulsory education ', 'Computer and other services ',\n", - " 'Consumer price index ', 'Container port traffic ',\n", - " 'Contraceptive prevalence method ',\n", - " 'Contraceptive prevalence modern method ',\n", - " 'Contributing family workers ',\n", + " 'Children out of school, primary', 'Claims on central government',\n", + " 'Coal rents ', 'Combustible renewables and waste ',\n", + " 'Commercial bank branches ', 'Commercial service exports ',\n", + " 'Commercial service imports ', 'Communications, computer',\n", + " 'Completeness of birth registration ',\n", + " 'Completeness of birth registration', 'Compulsory education',\n", + " 'Computer', 'Consumer price index ', 'Container port traffic ',\n", + " 'Contraceptive prevalence', 'Contributing family workers',\n", " 'Cost of business start-up procedures ',\n", - " 'Cost to export compliance ', 'Crop production index ',\n", - " 'Current account balance ', 'Current education expenditure ',\n", - " 'Current health expenditure ',\n", + " 'Cost of business start-up procedures', 'Cost to export',\n", + " 'Crop production index ', 'Current account balance ',\n", + " 'Current education expenditure', 'Current health expenditure ',\n", " 'Current health expenditure per capita ',\n", - " 'DEC alternative conversion factor ', 'Death rate ',\n", + " 'Current health expenditure per capita',\n", + " 'DEC alternative conversion factor ', 'Death rate',\n", " 'Depth of credit information index ', 'Diabetes prevalence ',\n", " 'Domestic credit to private sector ',\n", " 'Domestic credit to private sector by banks ',\n", " 'Domestic general government health expenditure ',\n", " 'Domestic general government health expenditure per capita ',\n", + " 'Domestic general government health expenditure per capita',\n", " 'Domestic private health expenditure ',\n", " 'Domestic private health expenditure per capita ',\n", - " 'Droughts temperatures ', 'Ease of doing business rank ',\n", + " 'Domestic private health expenditure per capita',\n", + " 'Droughts, floods', 'Ease of doing business rank ',\n", " 'Ease of doing business score ',\n", - " 'Educational attainment least completed lower secondary 25+ ',\n", - " 'Educational attainment least completed primary 25+ years ',\n", - " 'Educational attainment least completed short-cycle tertiary 25+ ',\n", - " 'Educational attainment least completed upper secondary 25+ ',\n", + " 'Educational attainment, at least completed lower secondary, population 25+',\n", + " 'Educational attainment, at least completed primary, population 25+ years',\n", + " 'Educational attainment, at least completed short-cycle tertiary, population 25+',\n", + " 'Educational attainment, at least completed upper secondary, population 25+',\n", " 'Electric power consumption ',\n", " 'Electric power transmission and distribution losses ',\n", " 'Electricity production from coal sources ',\n", @@ -7760,20 +7721,20 @@ " 'Electricity production from natural gas sources ',\n", " 'Electricity production from nuclear sources ',\n", " 'Electricity production from oil sources ',\n", - " 'Electricity production from oil and coal sources ',\n", - " 'Electricity production from renewable sources hydroelectric ',\n", - " 'Employers ', 'Employment in agriculture ',\n", - " 'Employment in industry ', 'Employment in services ',\n", - " 'Employment to population ratio+ ',\n", - " 'Employment to population ratio 15-24 ', 'Energy imports ',\n", + " 'Electricity production from oil',\n", + " 'Electricity production from renewable sources', 'Employers',\n", + " 'Employment in agriculture ', 'Employment in agriculture',\n", + " 'Employment in industry ', 'Employment in industry',\n", + " 'Employment in services ', 'Employment in services',\n", + " 'Employment to population ratio, 15+',\n", + " 'Employment to population ratio, ages 15-24', 'Energy imports',\n", " 'Energy intensity level of primary energy ',\n", " 'Energy related methane emissions ', 'Energy use ',\n", " 'Expenditure on tertiary education ', 'Export unit value index ',\n", " 'Export value index ', 'Export volume index ',\n", " 'Exports as a capacity to import ',\n", - " 'Exports of goods and services ',\n", - " 'Exports of goods and primary income ',\n", - " 'External balance on goods and services ', 'Fertility rate ',\n", + " 'Exports of goods and services ', 'Exports of goods',\n", + " 'External balance on goods and services ', 'Fertility rate',\n", " 'Fertilizer consumption ', 'Final consumption expenditure ',\n", " 'Firms expected to give gifts in meetings with tax officials ',\n", " 'Firms offering formal training ',\n", @@ -7782,25 +7743,23 @@ " 'Firms with female participation in ownership ', 'Fish species',\n", " 'Fixed broadband subscriptions', 'Fixed broadband subscriptions ',\n", " 'Fixed telephone subscriptions', 'Fixed telephone subscriptions ',\n", - " 'Food exports ', 'Food imports ', 'Food production index ',\n", - " 'Food and tobacco ', 'Foreign direct investment ',\n", - " 'Foreign direct investment inflows ',\n", - " 'Foreign direct investment outflows ', 'Forest area ',\n", - " 'Forest rents ', 'Fossil fuel energy consumption ',\n", - " 'Fuel exports ', 'Fuel imports ', 'GDP ', 'GDP deflator ',\n", + " 'Food exports ', 'Food imports ', 'Food production index ', 'Food',\n", + " 'Foreign direct investment', 'Forest area ', 'Forest rents ',\n", + " 'Fossil fuel energy consumption ', 'Fuel exports ',\n", + " 'Fuel imports ', 'GDP ', 'GDP deflator ',\n", " 'GDP deflator: linked series ', 'GDP growth ', 'GDP per capita ',\n", - " 'GDP per capita growth ', 'GDP per person employed ',\n", - " 'GDP per unit of energy use ', 'GDP: linked series ',\n", - " 'GHG net emissions/removals by LUCF ', 'GNI ', 'GNI growth ',\n", - " 'GNI per capita ', 'GNI per capita growth ',\n", - " 'GNI per capita method ', 'GNI method ', 'GNI: linked series ',\n", + " 'GDP per capita growth ', 'GDP per capita',\n", + " 'GDP per person employed ', 'GDP per unit of energy use ', 'GDP',\n", + " 'GDP: linked series ', 'GHG net emissions/removals by LUCF ',\n", + " 'GNI ', 'GNI growth ', 'GNI per capita ', 'GNI per capita growth ',\n", + " 'GNI per capita', 'GNI', 'GNI: linked series ',\n", " 'General government final consumption expenditure ', 'Gini index',\n", " 'Goods exports ', 'Goods imports ',\n", - " 'Government expenditure on education ',\n", - " 'Government expenditure per student ', 'Grants and other revenue ',\n", + " 'Government expenditure on education',\n", + " 'Government expenditure per student', 'Grants and other revenue ',\n", " 'Gross capital formation ', 'Gross domestic income ',\n", " 'Gross domestic savings ', 'Gross fixed capital formation ',\n", - " 'Gross intake ratio in first grade of primary education ',\n", + " 'Gross intake ratio in first grade of primary education',\n", " 'Gross national expenditure ',\n", " 'Gross national expenditure deflator ', 'Gross savings ',\n", " 'Gross value added at basic prices ', 'HFC gas emissions ',\n", @@ -7808,13 +7767,13 @@ " 'Households and NPISHs Final consumption expenditure ',\n", " 'Households and NPISHs Final consumption expenditure per capita ',\n", " 'Households and NPISHs Final consumption expenditure per capita growth ',\n", + " 'Households and NPISHs Final consumption expenditure',\n", " 'Households and NPISHs final consumption expenditure ',\n", " 'Households and NPISHs final consumption expenditure: linked series ',\n", " 'Human capital index ', 'ICT goods exports ', 'ICT goods imports ',\n", - " 'ICT service exports ', 'Immunization ',\n", - " 'Import unit value index ', 'Import value index ',\n", - " 'Import volume index ', 'Imports of goods and services ',\n", - " 'Imports of goods and primary income ',\n", + " 'ICT service exports ', 'Immunization', 'Import unit value index ',\n", + " 'Import value index ', 'Import volume index ',\n", + " 'Imports of goods and services ', 'Imports of goods',\n", " 'Incidence of tuberculosis ', 'Income share held by fourth 20%',\n", " 'Income share held by highest 10%',\n", " 'Income share held by highest 20%',\n", @@ -7825,27 +7784,26 @@ " 'Increase in poverty gap at $1.90 ',\n", " 'Increase in poverty gap at $3.20 ',\n", " 'Individuals using the Internet ',\n", - " 'Industrial design applications count', 'Industry ',\n", - " 'Inflation deflator ', 'Inflation deflator: linked series ',\n", - " 'Inflation prices ', 'Insurance and financial services ',\n", + " 'Industrial design applications, nonresident',\n", + " 'Industrial design applications, resident', 'Industry ',\n", + " 'Inflation', 'Insurance and financial services ',\n", " 'Intentional homicides ', 'Interest payments ',\n", - " 'Internally displaced persons displacement associated with disasters ',\n", - " 'International migrant stock ', 'International migrant stock',\n", - " 'International tourism ',\n", - " 'International tourism for passenger transport items ',\n", - " 'International tourism for travel items ',\n", - " 'International tourism of arrivals',\n", - " 'Labor force participation rate for ages 15-24 ',\n", - " 'Labor force participation rate ',\n", + " 'Internally displaced persons', 'International migrant stock ',\n", + " 'International migrant stock', 'International tourism',\n", + " 'Labor force participation rate for ages 15-24',\n", + " 'Labor force participation rate',\n", " 'Labor force with advanced education ',\n", + " 'Labor force with advanced education',\n", " 'Labor force with basic education ',\n", - " 'Labor force with intermediate education ', 'Labor force ',\n", - " 'Labor force', 'Labor tax and contributions ', 'Land area ',\n", + " 'Labor force with basic education',\n", + " 'Labor force with intermediate education ',\n", + " 'Labor force with intermediate education', 'Labor force',\n", + " 'Labor tax and contributions ', 'Land area ',\n", " 'Land area where elevation is below 5 meters ',\n", - " 'Land under cereal production ', 'Lead time to export case ',\n", - " 'Lead time to import case ',\n", + " 'Land under cereal production ', 'Lead time to export',\n", + " 'Lead time to import',\n", " 'Level of water stress: freshwater withdrawal as a proportion of available freshwater resources',\n", - " 'Life expectancy at birth ', 'Lifetime risk of maternal death ',\n", + " 'Life expectancy at birth', 'Lifetime risk of maternal death ',\n", " 'Liner shipping connectivity index ', 'Listed domestic companies',\n", " 'Livestock production index ',\n", " 'Logistics performance index: Ability to track and trace consignments ',\n", @@ -7855,16 +7813,17 @@ " 'Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time ',\n", " 'Logistics performance index: Overall ',\n", " 'Logistics performance index: Quality of trade and transport-related infrastructure ',\n", - " 'Low-birthweight babies ', 'Lower secondary completion rate ',\n", + " 'Low-birthweight babies ', 'Lower secondary completion rate',\n", " 'Lower secondary school starting age ',\n", " 'Machinery and transport equipment ', 'Mammal species',\n", - " 'Manufactures exports ', 'Manufactures imports ',\n", - " 'Manufacturing added ', 'Marine protected areas ',\n", + " 'Manufactures exports ', 'Manufactures imports ', 'Manufacturing',\n", + " 'Marine protected areas ',\n", " 'Market capitalization of listed domestic companies ',\n", " 'Maternal mortality ratio ', 'Medium and high-tech exports ',\n", " 'Medium and high-tech manufacturing value added ',\n", " 'Merchandise exports ',\n", " 'Merchandise exports by the reporting economy ',\n", + " 'Merchandise exports by the reporting economy',\n", " 'Merchandise exports to economies in the Arab World ',\n", " 'Merchandise exports to high-income economies ',\n", " 'Merchandise exports to low- and middle-income economies in East Asia & Pacific ',\n", @@ -7876,6 +7835,7 @@ " 'Merchandise exports to low- and middle-income economies outside region ',\n", " 'Merchandise imports ',\n", " 'Merchandise imports by the reporting economy ',\n", + " 'Merchandise imports by the reporting economy',\n", " 'Merchandise imports from economies in the Arab World ',\n", " 'Merchandise imports from high-income economies ',\n", " 'Merchandise imports from low- and middle-income economies in East Asia & Pacific ',\n", @@ -7891,18 +7851,22 @@ " 'Mobile cellular subscriptions ',\n", " 'Monetary Sector credit to private sector ',\n", " 'Mortality caused by road traffic injury ',\n", - " 'Mortality from CVD or CRD between exact ages 30 and 70 ',\n", - " 'Mortality rate attributed to household and ambient air pollution-standardized ',\n", + " 'Mortality from CVD, cancer',\n", + " 'Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70',\n", + " 'Mortality rate attributed to household and ambient air pollution',\n", + " 'Mortality rate attributed to household and ambient air pollution, age-standardized',\n", " 'Mortality rate attributed to unintentional poisoning ',\n", - " 'Mortality rate attributed to unsafe water sanitation and lack of hygiene ',\n", - " 'Mortality rate ', 'Mortality rate-5 ', 'Natural gas rents ',\n", - " 'Net barter terms of trade index ', 'Net capital account ',\n", - " 'Net domestic credit ', 'Net errors and omissions ',\n", - " 'Net financial account ', 'Net foreign assets ', 'Net migration',\n", - " 'Net primary income ', 'Net secondary income ',\n", - " 'Net trade in goods ', 'Net trade in goods and services ',\n", - " 'New business density ', 'New businesses registered ',\n", - " 'Nitrous oxide emissions ',\n", + " 'Mortality rate attributed to unintentional poisoning',\n", + " 'Mortality rate attributed to unsafe water',\n", + " 'Mortality rate, adult', 'Mortality rate',\n", + " 'Mortality rate, infant', 'Mortality rate, under-5',\n", + " 'Natural gas rents ', 'Net barter terms of trade index ',\n", + " 'Net capital account ', 'Net domestic credit ',\n", + " 'Net errors and omissions ', 'Net financial account ',\n", + " 'Net foreign assets ', 'Net migration', 'Net primary income ',\n", + " 'Net secondary income ', 'Net trade in goods ',\n", + " 'Net trade in goods and services ', 'New business density ',\n", + " 'New businesses registered ', 'Nitrous oxide emissions ',\n", " 'Nitrous oxide emissions in energy sector ',\n", " 'Number of deaths ages 10-14 years',\n", " 'Number of deaths ages 15-19 years',\n", @@ -7913,56 +7877,55 @@ " 'Official exchange rate ', 'Oil rents ',\n", " 'Ores and metals exports ', 'Ores and metals imports ',\n", " 'Other greenhouse gas emissions ',\n", - " 'Other greenhouse gas emissions and SF6 ', 'Other manufacturing ',\n", + " 'Other greenhouse gas emissions, HFC', 'Other manufacturing ',\n", " 'Other taxes payable by businesses ', 'Out-of-pocket expenditure ',\n", - " 'Out-of-pocket expenditure per capita ', 'Over-age students ',\n", - " 'PFC gas emissions ', 'PM2.5 air pollution annual exposure ',\n", - " 'PM2.5 air pollution exposed to levels exceeding WHO guideline value ',\n", - " 'PM2.5 pollution exposed to levels exceeding WHO Interim Target-3 value ',\n", - " 'PPP conversion factor ', 'PPP conversion factor consumption ',\n", - " 'Part time employment ', 'Patent applications',\n", + " 'Out-of-pocket expenditure per capita ',\n", + " 'Out-of-pocket expenditure per capita', 'Over-age students',\n", + " 'Over-age students, primary', 'PFC gas emissions ',\n", + " 'PM2.5 air pollution', 'PM2.5 pollution', 'PPP conversion factor',\n", + " 'Part time employment', 'Patent applications',\n", " 'People using at least basic drinking water services ',\n", + " 'People using at least basic drinking water services',\n", " 'People using at least basic sanitation services ',\n", + " 'People using at least basic sanitation services',\n", " 'People using safely managed sanitation services ',\n", - " 'Permanent cropland ', 'Persistence to last grade of primary ',\n", - " 'Personal remittances ', 'Personal transfers ', 'Physicians ',\n", + " 'Permanent cropland ', 'Persistence to last grade of primary',\n", + " 'Personal remittances', 'Personal transfers', 'Physicians ',\n", " 'Plant species ', 'Population ages 0-14 ', 'Population ages 0-14',\n", - " 'Population ages 00-04 ', 'Population ages 05-09 ',\n", - " 'Population ages 10-14 ', 'Population ages 15-19 ',\n", + " 'Population ages 00-04', 'Population ages 05-09',\n", + " 'Population ages 10-14', 'Population ages 15-19',\n", " 'Population ages 15-64 ', 'Population ages 15-64',\n", - " 'Population ages 20-24 ', 'Population ages 25-29 ',\n", - " 'Population ages 30-34 ', 'Population ages 35-39 ',\n", - " 'Population ages 40-44 ', 'Population ages 45-49 ',\n", - " 'Population ages 50-54 ', 'Population ages 55-59 ',\n", - " 'Population ages 60-64 ', 'Population ages 65 and above ',\n", - " 'Population ages 65 and above', 'Population ages 65-69 ',\n", - " 'Population ages 70-74 ', 'Population ages 75-79 ',\n", - " 'Population ages 80 and above ', 'Population density ',\n", + " 'Population ages 20-24', 'Population ages 25-29',\n", + " 'Population ages 30-34', 'Population ages 35-39',\n", + " 'Population ages 40-44', 'Population ages 45-49',\n", + " 'Population ages 50-54', 'Population ages 55-59',\n", + " 'Population ages 60-64', 'Population ages 65 and above ',\n", + " 'Population ages 65 and above', 'Population ages 65-69',\n", + " 'Population ages 70-74', 'Population ages 75-79',\n", + " 'Population ages 80 and above', 'Population density ',\n", " 'Population growth ', 'Population in largest city',\n", " 'Population in the largest city ',\n", " 'Population in urban agglomerations of more than 1 million',\n", " 'Population in urban agglomerations of more than 1 million ',\n", " 'Population living in areas where elevation is below 5 meters ',\n", - " 'Population', 'Population ', 'Portfolio equity inflows ',\n", - " 'Portfolio investment ', 'Poverty gap at $5.50 a day ',\n", + " 'Population', 'Portfolio equity', 'Portfolio investment',\n", + " 'Poverty gap at $5.50 a day ',\n", " 'Poverty headcount ratio at $5.50 a day ',\n", " 'Poverty headcount ratio at national poverty lines ',\n", - " 'Pregnant women receiving prenatal care ', 'Preprimary education ',\n", + " 'Pregnant women receiving prenatal care ', 'Preprimary education',\n", " 'Prevalence of anemia among children ',\n", " 'Prevalence of anemia among non-pregnant women ',\n", " 'Prevalence of anemia among pregnant women ',\n", " 'Prevalence of anemia among women of reproductive age ',\n", - " 'Prevalence of current tobacco use ', 'Prevalence of overweight ',\n", - " 'Prevalence of overweight for height ',\n", - " 'Prevalence of stunting for age ',\n", - " 'Prevalence of undernourishment ',\n", - " 'Prevalence of underweight for age ',\n", - " 'Prevalence of wasting for height ',\n", + " 'Prevalence of current tobacco use ',\n", + " 'Prevalence of current tobacco use', 'Prevalence of overweight ',\n", + " 'Prevalence of overweight', 'Prevalence of stunting',\n", + " 'Prevalence of undernourishment ', 'Prevalence of underweight',\n", + " 'Prevalence of wasting',\n", " 'Price level ratio of PPP conversion factor to market exchange rate',\n", - " 'Primary completion rate ', 'Primary education ',\n", - " 'Primary education', 'Primary income payments ',\n", - " 'Primary income receipts ', 'Primary school starting age ',\n", - " 'Private credit bureau coverage ',\n", + " 'Primary completion rate', 'Primary education',\n", + " 'Primary income payments ', 'Primary income receipts ',\n", + " 'Primary school starting age ', 'Private credit bureau coverage ',\n", " 'Probability of dying among adolescents ages 10-14 years ',\n", " 'Probability of dying among adolescents ages 15-19 years ',\n", " 'Probability of dying among children ages 5-9 years ',\n", @@ -7970,6 +7933,7 @@ " 'Procedures to build a warehouse ',\n", " 'Procedures to register property ', 'Profit tax ',\n", " 'Progression to secondary school ',\n", + " 'Progression to secondary school',\n", " 'Proportion of people living below 50 percent of median income ',\n", " 'Proportion of population pushed below the $1.90 ',\n", " 'Proportion of population pushed below the $3.20 ',\n", @@ -7977,81 +7941,83 @@ " 'Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure ',\n", " 'Proportion of seats held by women in national parliaments ',\n", " 'Public credit registry coverage ', 'Pump price for diesel fuel ',\n", - " 'Pump price for gasoline ', 'Pupil-teacher ratio secondary',\n", - " 'Pupil-teacher ratio', 'Rail lines ', 'Railways transported ',\n", - " 'Railways carried ',\n", + " 'Pump price for gasoline ', 'Pupil-teacher ratio', 'Rail lines ',\n", + " 'Railways',\n", " 'Ratio of female to male labor force participation rate ',\n", " 'Refugee population by country or territory of asylum',\n", " 'Refugee population by country or territory of origin',\n", " 'Renewable electricity output ', 'Renewable energy consumption ',\n", " 'Renewable internal freshwater resources per capita ',\n", - " 'Renewable internal freshwater resources ', 'Repeaters ',\n", + " 'Renewable internal freshwater resources', 'Repeaters, primary',\n", " 'Research and development expenditure ', 'Researchers in R&D ',\n", - " 'Reserves and related items ', 'Revenue grants ',\n", + " 'Reserves and related items ', 'Revenue',\n", " 'Risk of catastrophic expenditure for surgical care ',\n", " 'Rural land area ',\n", " 'Rural land area where elevation is below 5 meters ',\n", " 'Rural population', 'Rural population ',\n", " 'Rural population growth ',\n", " 'Rural population living in areas where elevation is below 5 meters ',\n", - " 'SF6 gas emissions ', 'School enrollment ',\n", - " 'School enrollment and secondary ',\n", - " 'Scientific and technical journal articles',\n", - " 'Secondary education ', 'Secondary education pupils',\n", - " 'Secondary education pupils ', 'Secondary education',\n", - " 'Secondary income receipts ', 'Secondary income sectors ',\n", - " 'Secure Internet servers', 'Secure Internet servers ',\n", - " 'Self-employed ', 'Service exports ', 'Service imports ',\n", - " 'Services added ', 'Services added per worker ',\n", - " 'Sex ratio at birth ',\n", - " 'Share of tariff lines with international peaks products ',\n", - " 'Share of tariff lines with specific rates products ',\n", - " 'Share of youth not in education or training ',\n", + " 'SF6 gas emissions ', 'School enrollment',\n", + " 'School enrollment, preprimary', 'School enrollment, primary',\n", + " 'School enrollment, secondary', 'School enrollment, tertiary',\n", + " 'Scientific and technical journal articles', 'Secondary education',\n", + " 'Secondary education, teachers', 'Secondary income receipts ',\n", + " 'Secondary income, other sectors', 'Secure Internet servers',\n", + " 'Secure Internet servers ', 'Self-employed', 'Service exports ',\n", + " 'Service imports ', 'Services', 'Sex ratio at birth ',\n", + " 'Share of tariff lines with international peaks',\n", + " 'Share of tariff lines with specific rates',\n", + " 'Share of youth not in education, employment or training',\n", " 'Social contributions ', 'Specialist surgical workforce ',\n", " 'Start-up procedures to register a business ',\n", - " 'Statistical performance indicators ', 'Stocks traded value ',\n", - " 'Stocks traded ratio of domestic shares ',\n", + " 'Start-up procedures to register a business',\n", + " 'Statistical performance indicators ', 'Stocks traded',\n", " 'Strength of legal rights index ', 'Suicide mortality rate ',\n", - " 'Surface area ', 'Survival to age 65 ',\n", - " 'Tariff rate mean products ',\n", - " 'Tariff rate favored nation mean products ', 'Tax payments ',\n", + " 'Suicide mortality rate', 'Surface area ', 'Survival to age 65',\n", + " 'Tariff rate, applied, simple mean',\n", + " 'Tariff rate, applied, weighted mean',\n", + " 'Tariff rate, most favored nation, simple mean',\n", + " 'Tariff rate, most favored nation, weighted mean', 'Tax payments ',\n", " 'Tax revenue ', 'Taxes less subsidies on products ',\n", - " 'Taxes on goods and services ',\n", - " 'Taxes on income and capital gains ', 'Terms of trade adjustment ',\n", + " 'Taxes on goods and services ', 'Taxes on income',\n", + " 'Terms of trade adjustment ',\n", " 'Terrestrial and marine protected areas ',\n", - " 'Terrestrial protected areas ', 'Tertiary education staff ',\n", + " 'Terrestrial protected areas ', 'Tertiary education',\n", " 'Textiles and clothing ', 'Time required to build a warehouse ',\n", " 'Time required to enforce a contract ',\n", " 'Time required to get electricity ',\n", " 'Time required to register property ',\n", " 'Time required to start a business ',\n", + " 'Time required to start a business',\n", " 'Time spent dealing with the requirements of government regulations ',\n", - " 'Time to export compliance ', 'Time to import compliance ',\n", + " 'Time to export', 'Time to import',\n", " 'Time to obtain an electrical connection ',\n", " 'Time to prepare and pay taxes ', 'Time to resolve insolvency ',\n", " 'Total alcohol consumption per capita ',\n", + " 'Total alcohol consumption per capita',\n", " 'Total fisheries production ', 'Total greenhouse gas emissions ',\n", " 'Total natural resources rents ', 'Total reserves ',\n", " 'Total reserves in months of imports',\n", " 'Total reserves minus gold ', 'Total tax and contribution rate ',\n", - " 'Trade ', 'Trade in services ',\n", - " 'Trademark applications nonresident',\n", - " 'Trademark applications resident', 'Trademark applications count',\n", - " 'Trademark applications', 'Transport services ',\n", + " 'Trade ', 'Trade in services ', 'Trademark applications',\n", + " 'Trademark applications, nonresident',\n", + " 'Trademark applications, resident', 'Transport services ',\n", " 'Travel services ', 'Tuberculosis case detection rate ',\n", " 'Tuberculosis treatment success rate ',\n", " 'UHC service coverage index',\n", " 'Unemployment with advanced education ',\n", + " 'Unemployment with advanced education',\n", " 'Unemployment with basic education ',\n", - " 'Unemployment with intermediate education ', 'Unemployment ',\n", - " 'Unemployment female ', 'Unemployment male ',\n", - " 'Unemployment total ', 'Urban land area ',\n", + " 'Unemployment with basic education',\n", + " 'Unemployment with intermediate education ',\n", + " 'Unemployment with intermediate education', 'Unemployment',\n", + " 'Urban land area ',\n", " 'Urban land area where elevation is below 5 meters ',\n", " 'Urban population', 'Urban population ',\n", " 'Urban population growth ',\n", " 'Urban population living in areas where elevation is below 5 meters ',\n", - " 'Vulnerable employment ', 'Wage and salaried workers ',\n", - " 'Water productivity ', 'Women Business and the Law Index Score ',\n", + " 'Vulnerable employment', 'Wage and salaried workers',\n", + " 'Water productivity', 'Women Business and the Law Index Score ',\n", " 'Poverty headcount ratio at $3.20 a day ',\n", " 'Customs and other import duties ',\n", " 'Discrepancy in expenditure estimate of GDP ', 'Other taxes ',\n", @@ -8059,15 +8025,15 @@ " 'Poverty headcount ratio at $1.90 a day ',\n", " 'Poverty gap at $1.90 a day ', 'External health expenditure ',\n", " 'External health expenditure per capita ',\n", - " 'PM2.5 pollution exposed to levels exceeding WHO Interim Target-2 value ',\n", + " 'External health expenditure per capita',\n", " 'Risk of impoverishing expenditure for surgical care ',\n", - " 'PM2.5 pollution exposed to levels exceeding WHO Interim Target-1 value ',\n", - " 'People practicing open defecation ', 'Cost to import compliance ',\n", + " 'People practicing open defecation ',\n", + " 'People practicing open defecation', 'Cost to import',\n", " 'Taxes on exports ', 'Adjusted savings: net forest depletion '],\n", " dtype=object)" ] }, - "execution_count": 135, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -8076,6 +8042,234 @@ "Categorization['Indicator Name'].unique()" ] }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator Name0UnitsOther specificationSubgroup
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of population)Nonetotal
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of rural population)Nonerural
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of urban population)Noneurban
3DEU1990EuropeAccess to electricity1.000000(% of population)Nonetotal
4DEU1990EuropeAccess to electricity1.000000(% of rural population)Nonerural
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1511898CHN2021PairWage and salaried workers0.588267(% of female employment(modeled ILO estimate)female
1511899CHN2021PairWage and salaried workers0.631579(% of male employment(modeled ILO estimate)male
1511900CHN2021PairWage and salaried workers0.612643(% of total employment(modeled ILO estimate)total
1511901CHN2021PairWater productivity0.391767(constant 2015 US$ GDP per cubic meter of tota...Nonetotal
1511902CHN2021PairWomen Business and the Law Index Score1.061404(scale 1-100)Nonetotal
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1511903 rows × 8 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1511898 CHN 2021 Pair \n", + "1511899 CHN 2021 Pair \n", + "1511900 CHN 2021 Pair \n", + "1511901 CHN 2021 Pair \n", + "1511902 CHN 2021 Pair \n", + "\n", + " Indicator Name 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity 1.000000 \n", + "4 Access to electricity 1.000000 \n", + "... ... ... \n", + "1511898 Wage and salaried workers 0.588267 \n", + "1511899 Wage and salaried workers 0.631579 \n", + "1511900 Wage and salaried workers 0.612643 \n", + "1511901 Water productivity 0.391767 \n", + "1511902 Women Business and the Law Index Score 1.061404 \n", + "\n", + " Units \\\n", + "0 (% of population) \n", + "1 (% of rural population) \n", + "2 (% of urban population) \n", + "3 (% of population) \n", + "4 (% of rural population) \n", + "... ... \n", + "1511898 (% of female employment \n", + "1511899 (% of male employment \n", + "1511900 (% of total employment \n", + "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", + "1511902 (scale 1-100) \n", + "\n", + " Other specification Subgroup \n", + "0 None total \n", + "1 None rural \n", + "2 None urban \n", + "3 None total \n", + "4 None rural \n", + "... ... ... \n", + "1511898 (modeled ILO estimate) female \n", + "1511899 (modeled ILO estimate) male \n", + "1511900 (modeled ILO estimate) total \n", + "1511901 None total \n", + "1511902 None total \n", + "\n", + "[1511903 rows x 8 columns]" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Categorization" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -13590,7 +13784,7 @@ }, "vscode": { "interpreter": { - "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" + "hash": "292912297167048338b5d1136ec8c661b8a2f1d3fcecd6650d637809a967c218" } } }, From 49b7d8ded46178c3d5db26e55162f45af454b455 Mon Sep 17 00:00:00 2001 From: Mferna38 Date: Mon, 25 Jul 2022 11:52:52 +0200 Subject: [PATCH 10/86] Error correction --- WDI-Complete code.ipynb | 371 ++++++++++++++++++++++------------------ 1 file changed, 201 insertions(+), 170 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 29ba44b..f35d17f 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 55, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -434,7 +434,7 @@ "[384370 rows x 67 columns]" ] }, - "execution_count": 2, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -460,7 +460,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 57, "metadata": {}, "outputs": [], "source": [ @@ -506,7 +506,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 58, "metadata": {}, "outputs": [], "source": [ @@ -522,7 +522,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 59, "metadata": {}, "outputs": [], "source": [ @@ -538,7 +538,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -681,7 +681,7 @@ "[1769879 rows x 4 columns]" ] }, - "execution_count": 6, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -702,7 +702,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 61, "metadata": {}, "outputs": [], "source": [ @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -724,7 +724,7 @@ "dtype: object" ] }, - "execution_count": 8, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -735,7 +735,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -878,7 +878,7 @@ "[1225418 rows x 4 columns]" ] }, - "execution_count": 9, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -890,7 +890,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 64, "metadata": {}, "outputs": [], "source": [ @@ -947,16 +947,16 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 65, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" } @@ -968,7 +968,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -1099,7 +1099,7 @@ "[59239 rows x 2 columns]" ] }, - "execution_count": 12, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -1224,7 +1224,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 13, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -1237,7 +1237,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -1341,7 +1341,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 14, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -1361,7 +1361,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 69, "metadata": {}, "outputs": [ { @@ -1528,7 +1528,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 15, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } @@ -1541,7 +1541,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 70, "metadata": {}, "outputs": [ { @@ -1550,7 +1550,7 @@ "['Country Code', 'Indicator Name', 'Date', 'Value_x', 'Value_y', 'Value']" ] }, - "execution_count": 16, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -1568,7 +1568,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -1735,7 +1735,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 17, + "execution_count": 71, "metadata": {}, "output_type": "execute_result" } @@ -1754,7 +1754,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 72, "metadata": {}, "outputs": [ { @@ -1921,7 +1921,7 @@ "[1189068 rows x 6 columns]" ] }, - "execution_count": 18, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -1940,7 +1940,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -2083,7 +2083,7 @@ "[1189068 rows x 4 columns]" ] }, - "execution_count": 19, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" } @@ -2095,7 +2095,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 74, "metadata": {}, "outputs": [], "source": [ @@ -2104,7 +2104,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -2685,7 +2685,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 21, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } @@ -2704,7 +2704,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -2713,7 +2713,7 @@ "1016628" ] }, - "execution_count": 22, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -2738,7 +2738,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 77, "metadata": {}, "outputs": [], "source": [ @@ -2762,7 +2762,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 78, "metadata": {}, "outputs": [ { @@ -2771,7 +2771,7 @@ "685787" ] }, - "execution_count": 24, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } @@ -2797,7 +2797,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 79, "metadata": {}, "outputs": [ { @@ -2806,7 +2806,7 @@ "498648" ] }, - "execution_count": 25, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } @@ -2832,7 +2832,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 80, "metadata": {}, "outputs": [ { @@ -2841,7 +2841,7 @@ "685787" ] }, - "execution_count": 26, + "execution_count": 80, "metadata": {}, "output_type": "execute_result" } @@ -2867,7 +2867,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 81, "metadata": {}, "outputs": [ { @@ -2876,7 +2876,7 @@ "685787" ] }, - "execution_count": 27, + "execution_count": 81, "metadata": {}, "output_type": "execute_result" } @@ -2897,7 +2897,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 82, "metadata": {}, "outputs": [ { @@ -2906,7 +2906,7 @@ "310048" ] }, - "execution_count": 28, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" } @@ -2934,7 +2934,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 83, "metadata": {}, "outputs": [ { @@ -2943,7 +2943,7 @@ "310048" ] }, - "execution_count": 29, + "execution_count": 83, "metadata": {}, "output_type": "execute_result" } @@ -2987,7 +2987,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 84, "metadata": {}, "outputs": [ { @@ -3568,7 +3568,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 30, + "execution_count": 84, "metadata": {}, "output_type": "execute_result" } @@ -3598,7 +3598,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 85, "metadata": {}, "outputs": [ { @@ -4550,7 +4550,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 31, + "execution_count": 85, "metadata": {}, "output_type": "execute_result" } @@ -4572,7 +4572,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 86, "metadata": {}, "outputs": [], "source": [ @@ -4581,7 +4581,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 87, "metadata": {}, "outputs": [ { @@ -5149,7 +5149,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 33, + "execution_count": 87, "metadata": {}, "output_type": "execute_result" } @@ -5176,7 +5176,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 88, "metadata": {}, "outputs": [ { @@ -5208,7 +5208,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 89, "metadata": {}, "outputs": [ { @@ -5776,7 +5776,7 @@ "[1536 rows x 1061 columns]" ] }, - "execution_count": 35, + "execution_count": 89, "metadata": {}, "output_type": "execute_result" } @@ -5796,7 +5796,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 90, "metadata": {}, "outputs": [], "source": [ @@ -5805,7 +5805,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 91, "metadata": {}, "outputs": [], "source": [ @@ -5822,7 +5822,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 92, "metadata": {}, "outputs": [], "source": [ @@ -5833,7 +5833,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 93, "metadata": {}, "outputs": [ { @@ -5988,7 +5988,7 @@ "[1511903 rows x 5 columns]" ] }, - "execution_count": 39, + "execution_count": 93, "metadata": {}, "output_type": "execute_result" } @@ -6001,7 +6001,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 94, "metadata": {}, "outputs": [ { @@ -6156,7 +6156,7 @@ "[1379204 rows x 5 columns]" ] }, - "execution_count": 40, + "execution_count": 94, "metadata": {}, "output_type": "execute_result" } @@ -6169,7 +6169,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 95, "metadata": {}, "outputs": [], "source": [ @@ -6179,7 +6179,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 96, "metadata": {}, "outputs": [ { @@ -6359,7 +6359,7 @@ "[1511903 rows x 6 columns]" ] }, - "execution_count": 42, + "execution_count": 96, "metadata": {}, "output_type": "execute_result" } @@ -6372,7 +6372,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 97, "metadata": {}, "outputs": [ { @@ -6552,7 +6552,7 @@ "[1511903 rows x 6 columns]" ] }, - "execution_count": 43, + "execution_count": 97, "metadata": {}, "output_type": "execute_result" } @@ -6565,7 +6565,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 98, "metadata": {}, "outputs": [ { @@ -6732,7 +6732,7 @@ "[4608 rows x 6 columns]" ] }, - "execution_count": 44, + "execution_count": 98, "metadata": {}, "output_type": "execute_result" } @@ -6745,7 +6745,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 99, "metadata": {}, "outputs": [ { @@ -6950,7 +6950,7 @@ "[1511903 rows x 7 columns]" ] }, - "execution_count": 45, + "execution_count": 99, "metadata": {}, "output_type": "execute_result" } @@ -6963,7 +6963,36 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 100, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([None, nan, '(per 100,000 adults)', '(modeled ILO estimate)',\n", + " '(cumulative)', '(national estimate)',\n", + " 'per $1,000 GDP (constant 2017 PPP)', '(constant 2015 US$)',\n", + " '(constant LCU)', '(current LCU)', '(current US$)', '(scale 0-1)',\n", + " 'poverty line due to out-of-pocket health care expenditure (% of poverty line)',\n", + " 'poverty line due to out-of-pocket health care expenditure (USD)',\n", + " '(%)', '(% of population)',\n", + " 'poverty line by out-of-pocket health care expenditure (%)'],\n", + " dtype=object)" + ] + }, + "execution_count": 100, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Checking of previous step, as not all of them have this second element.\n", + "Categorization['Other specification'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 101, "metadata": {}, "outputs": [ { @@ -6993,6 +7022,8 @@ " Indicator Name\n", " 0\n", " Units\n", + " Other specification\n", + " Subgroup\n", " \n", " \n", " \n", @@ -7004,6 +7035,8 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " (% of population)\n", + " None\n", + " NaN\n", " \n", " \n", " 1\n", @@ -7013,6 +7046,8 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " (% of rural population)\n", + " None\n", + " rural\n", " \n", " \n", " 2\n", @@ -7022,6 +7057,8 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " (% of urban population)\n", + " None\n", + " urban\n", " \n", " \n", " 3\n", @@ -7031,6 +7068,8 @@ " Access to electricity\n", " 1.000000\n", " (% of population)\n", + " None\n", + " NaN\n", " \n", " \n", " 4\n", @@ -7040,6 +7079,8 @@ " Access to electricity, rural\n", " 1.000000\n", " (% of rural population)\n", + " None\n", + " rural\n", " \n", " \n", " ...\n", @@ -7049,6 +7090,8 @@ " ...\n", " ...\n", " ...\n", + " ...\n", + " ...\n", " \n", " \n", " 1511898\n", @@ -7058,6 +7101,8 @@ " Wage and salaried workers, female\n", " 0.588267\n", " (% of female employment\n", + " (modeled ILO estimate)\n", + " female\n", " \n", " \n", " 1511899\n", @@ -7067,6 +7112,8 @@ " Wage and salaried workers, male\n", " 0.631579\n", " (% of male employment\n", + " (modeled ILO estimate)\n", + " male\n", " \n", " \n", " 1511900\n", @@ -7076,6 +7123,8 @@ " Wage and salaried workers, total\n", " 0.612643\n", " (% of total employment\n", + " (modeled ILO estimate)\n", + " total\n", " \n", " \n", " 1511901\n", @@ -7085,6 +7134,8 @@ " Water productivity, total\n", " 0.391767\n", " (constant 2015 US$ GDP per cubic meter of tota...\n", + " None\n", + " total\n", " \n", " \n", " 1511902\n", @@ -7094,10 +7145,12 @@ " Women Business and the Law Index Score\n", " 1.061404\n", " (scale 1-100)\n", + " None\n", + " NaN\n", " \n", " \n", "\n", - "

1511903 rows × 6 columns

\n", + "

1511903 rows × 8 columns

\n", "" ], "text/plain": [ @@ -7127,36 +7180,49 @@ "1511901 Water productivity, total 0.391767 \n", "1511902 Women Business and the Law Index Score 1.061404 \n", "\n", - " Units \n", - "0 (% of population) \n", - "1 (% of rural population) \n", - "2 (% of urban population) \n", - "3 (% of population) \n", - "4 (% of rural population) \n", - "... ... \n", - "1511898 (% of female employment \n", - "1511899 (% of male employment \n", - "1511900 (% of total employment \n", - "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", - "1511902 (scale 1-100) \n", + " Units \\\n", + "0 (% of population) \n", + "1 (% of rural population) \n", + "2 (% of urban population) \n", + "3 (% of population) \n", + "4 (% of rural population) \n", + "... ... \n", + "1511898 (% of female employment \n", + "1511899 (% of male employment \n", + "1511900 (% of total employment \n", + "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", + "1511902 (scale 1-100) \n", "\n", - "[1511903 rows x 6 columns]" + " Other specification Subgroup \n", + "0 None NaN \n", + "1 None rural \n", + "2 None urban \n", + "3 None NaN \n", + "4 None rural \n", + "... ... ... \n", + "1511898 (modeled ILO estimate) female \n", + "1511899 (modeled ILO estimate) male \n", + "1511900 (modeled ILO estimate) total \n", + "1511901 None total \n", + "1511902 None NaN \n", + "\n", + "[1511903 rows x 8 columns]" ] }, - "execution_count": 46, + "execution_count": 101, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Checking of previous step, as not all of them have this second element.\n", - "Categorization['Other specification'].unique()\n", - "Categorization.drop(columns='Other specification')" + "#Getting the subclassification of some variables that have information divided for small groups. These categorization is specified at the end of the variable separated by a \",\".\n", + "Categorization[['Subgroup']]=Categorization['Indicator Name'].str.extract(',(?P[^,]*?)$')\n", + "Categorization" ] }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 102, "metadata": {}, "outputs": [ { @@ -7240,7 +7306,7 @@ " DEU\n", " 1990\n", " Europe\n", - " Access to electricity, rural\n", + " Access to electricity\n", " 1.000000\n", " (% of rural population)\n", " None\n", @@ -7262,7 +7328,7 @@ " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, female\n", + " Wage and salaried workers\n", " 0.588267\n", " (% of female employment\n", " (modeled ILO estimate)\n", @@ -7273,7 +7339,7 @@ " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, male\n", + " Wage and salaried workers\n", " 0.631579\n", " (% of male employment\n", " (modeled ILO estimate)\n", @@ -7284,7 +7350,7 @@ " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, total\n", + " Wage and salaried workers\n", " 0.612643\n", " (% of total employment\n", " (modeled ILO estimate)\n", @@ -7295,7 +7361,7 @@ " CHN\n", " 2021\n", " Pair\n", - " Water productivity, total\n", + " Water productivity\n", " 0.391767\n", " (constant 2015 US$ GDP per cubic meter of tota...\n", " None\n", @@ -7336,12 +7402,12 @@ "1 Access to clean fuels and technologies for coo... 1.000000 \n", "2 Access to clean fuels and technologies for coo... 1.000000 \n", "3 Access to electricity 1.000000 \n", - "4 Access to electricity, rural 1.000000 \n", + "4 Access to electricity 1.000000 \n", "... ... ... \n", - "1511898 Wage and salaried workers, female 0.588267 \n", - "1511899 Wage and salaried workers, male 0.631579 \n", - "1511900 Wage and salaried workers, total 0.612643 \n", - "1511901 Water productivity, total 0.391767 \n", + "1511898 Wage and salaried workers 0.588267 \n", + "1511899 Wage and salaried workers 0.631579 \n", + "1511900 Wage and salaried workers 0.612643 \n", + "1511901 Water productivity 0.391767 \n", "1511902 Women Business and the Law Index Score 1.061404 \n", "\n", " Units \\\n", @@ -7373,20 +7439,20 @@ "[1511903 rows x 8 columns]" ] }, - "execution_count": 47, + "execution_count": 102, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Getting the subclassification of some variables that have information divided for small groups. These categorization is specified at the end of the variable separated by a \",\".\n", - "Categorization[['Subgroup']]=Categorization['Indicator Name'].str.extract(',(?P[^,]*?)$')\n", + "#Delete the extracted information from origin column. \n", + "Categorization['Indicator Name']=Categorization['Indicator Name'].str.replace(',(?P[^,]*?)$',\"\")\n", "Categorization" ] }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 103, "metadata": {}, "outputs": [ { @@ -7416,7 +7482,6 @@ " Indicator Name\n", " 0\n", " Units\n", - " Other specification\n", " Subgroup\n", " \n", " \n", @@ -7429,8 +7494,7 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " (% of population)\n", - " None\n", - " NaN\n", + " total\n", " \n", " \n", " 1\n", @@ -7440,7 +7504,6 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " (% of rural population)\n", - " None\n", " rural\n", " \n", " \n", @@ -7451,7 +7514,6 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " (% of urban population)\n", - " None\n", " urban\n", " \n", " \n", @@ -7462,8 +7524,7 @@ " Access to electricity\n", " 1.000000\n", " (% of population)\n", - " None\n", - " NaN\n", + " total\n", " \n", " \n", " 4\n", @@ -7473,7 +7534,6 @@ " Access to electricity\n", " 1.000000\n", " (% of rural population)\n", - " None\n", " rural\n", " \n", " \n", @@ -7485,7 +7545,6 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", " 1511898\n", @@ -7495,7 +7554,6 @@ " Wage and salaried workers\n", " 0.588267\n", " (% of female employment\n", - " (modeled ILO estimate)\n", " female\n", " \n", " \n", @@ -7506,7 +7564,6 @@ " Wage and salaried workers\n", " 0.631579\n", " (% of male employment\n", - " (modeled ILO estimate)\n", " male\n", " \n", " \n", @@ -7517,7 +7574,6 @@ " Wage and salaried workers\n", " 0.612643\n", " (% of total employment\n", - " (modeled ILO estimate)\n", " total\n", " \n", " \n", @@ -7528,7 +7584,6 @@ " Water productivity\n", " 0.391767\n", " (constant 2015 US$ GDP per cubic meter of tota...\n", - " None\n", " total\n", " \n", " \n", @@ -7539,12 +7594,11 @@ " Women Business and the Law Index Score\n", " 1.061404\n", " (scale 1-100)\n", - " None\n", - " NaN\n", + " total\n", " \n", " \n", "\n", - "

1511903 rows × 8 columns

\n", + "

1511903 rows × 7 columns

\n", "" ], "text/plain": [ @@ -7574,60 +7628,37 @@ "1511901 Water productivity 0.391767 \n", "1511902 Women Business and the Law Index Score 1.061404 \n", "\n", - " Units \\\n", - "0 (% of population) \n", - "1 (% of rural population) \n", - "2 (% of urban population) \n", - "3 (% of population) \n", - "4 (% of rural population) \n", - "... ... \n", - "1511898 (% of female employment \n", - "1511899 (% of male employment \n", - "1511900 (% of total employment \n", - "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", - "1511902 (scale 1-100) \n", - "\n", - " Other specification Subgroup \n", - "0 None NaN \n", - "1 None rural \n", - "2 None urban \n", - "3 None NaN \n", - "4 None rural \n", - "... ... ... \n", - "1511898 (modeled ILO estimate) female \n", - "1511899 (modeled ILO estimate) male \n", - "1511900 (modeled ILO estimate) total \n", - "1511901 None total \n", - "1511902 None NaN \n", + " Units Subgroup \n", + "0 (% of population) total \n", + "1 (% of rural population) rural \n", + "2 (% of urban population) urban \n", + "3 (% of population) total \n", + "4 (% of rural population) rural \n", + "... ... ... \n", + "1511898 (% of female employment female \n", + "1511899 (% of male employment male \n", + "1511900 (% of total employment total \n", + "1511901 (constant 2015 US$ GDP per cubic meter of tota... total \n", + "1511902 (scale 1-100) total \n", "\n", - "[1511903 rows x 8 columns]" + "[1511903 rows x 7 columns]" ] }, - "execution_count": 48, + "execution_count": 103, "metadata": {}, "output_type": "execute_result" } ], - "source": [ - "#Delete the extracted information from origin column. \n", - "Categorization['Indicator Name']=Categorization['Indicator Name'].str.replace(',(?P[^,]*?)$',\"\")\n", - "Categorization" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [], "source": [ "#Checking of previous step, as not all of them have this second element.\n", "Categorization['Subgroup']=Categorization['Subgroup'].replace(['None'],['total'])\n", - "Categorization['Subgroup']=Categorization['Subgroup'].fillna('total')" + "Categorization['Subgroup']=Categorization['Subgroup'].fillna('total')\n", + "Categorization.drop(columns='Other specification')" ] }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 104, "metadata": {}, "outputs": [ { @@ -8033,7 +8064,7 @@ " dtype=object)" ] }, - "execution_count": 50, + "execution_count": 104, "metadata": {}, "output_type": "execute_result" } @@ -8044,7 +8075,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 105, "metadata": {}, "outputs": [ { @@ -8261,7 +8292,7 @@ "[1511903 rows x 8 columns]" ] }, - "execution_count": 51, + "execution_count": 105, "metadata": {}, "output_type": "execute_result" } From 027325f03e253dce4d8902cd7a109d0fecc7f8fc Mon Sep 17 00:00:00 2001 From: Mferna38 Date: Mon, 25 Jul 2022 11:56:58 +0200 Subject: [PATCH 11/86] Inplace checked --- WDI-Complete code.ipynb | 427 ++++++++++------------------------------ 1 file changed, 104 insertions(+), 323 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index f35d17f..25196bb 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 106, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 107, "metadata": {}, "outputs": [ { @@ -434,7 +434,7 @@ "[384370 rows x 67 columns]" ] }, - "execution_count": 56, + "execution_count": 107, "metadata": {}, "output_type": "execute_result" } @@ -460,7 +460,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 108, "metadata": {}, "outputs": [], "source": [ @@ -506,7 +506,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 109, "metadata": {}, "outputs": [], "source": [ @@ -522,7 +522,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 110, "metadata": {}, "outputs": [], "source": [ @@ -538,7 +538,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 111, "metadata": {}, "outputs": [ { @@ -681,7 +681,7 @@ "[1769879 rows x 4 columns]" ] }, - "execution_count": 60, + "execution_count": 111, "metadata": {}, "output_type": "execute_result" } @@ -702,7 +702,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 112, "metadata": {}, "outputs": [], "source": [ @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 113, "metadata": {}, "outputs": [ { @@ -724,7 +724,7 @@ "dtype: object" ] }, - "execution_count": 62, + "execution_count": 113, "metadata": {}, "output_type": "execute_result" } @@ -735,7 +735,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 114, "metadata": {}, "outputs": [ { @@ -878,7 +878,7 @@ "[1225418 rows x 4 columns]" ] }, - "execution_count": 63, + "execution_count": 114, "metadata": {}, "output_type": "execute_result" } @@ -890,7 +890,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 115, "metadata": {}, "outputs": [], "source": [ @@ -947,16 +947,16 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 116, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 65, + "execution_count": 116, "metadata": {}, "output_type": "execute_result" } @@ -968,7 +968,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 117, "metadata": {}, "outputs": [ { @@ -1099,7 +1099,7 @@ "[59239 rows x 2 columns]" ] }, - "execution_count": 66, + "execution_count": 117, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 118, "metadata": {}, "outputs": [ { @@ -1224,7 +1224,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 67, + "execution_count": 118, "metadata": {}, "output_type": "execute_result" } @@ -1237,7 +1237,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 119, "metadata": {}, "outputs": [ { @@ -1341,7 +1341,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 68, + "execution_count": 119, "metadata": {}, "output_type": "execute_result" } @@ -1361,7 +1361,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 120, "metadata": {}, "outputs": [ { @@ -1528,7 +1528,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 69, + "execution_count": 120, "metadata": {}, "output_type": "execute_result" } @@ -1541,7 +1541,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 121, "metadata": {}, "outputs": [ { @@ -1550,7 +1550,7 @@ "['Country Code', 'Indicator Name', 'Date', 'Value_x', 'Value_y', 'Value']" ] }, - "execution_count": 70, + "execution_count": 121, "metadata": {}, "output_type": "execute_result" } @@ -1568,7 +1568,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 122, "metadata": {}, "outputs": [ { @@ -1735,7 +1735,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 71, + "execution_count": 122, "metadata": {}, "output_type": "execute_result" } @@ -1754,7 +1754,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 123, "metadata": {}, "outputs": [ { @@ -1921,7 +1921,7 @@ "[1189068 rows x 6 columns]" ] }, - "execution_count": 72, + "execution_count": 123, "metadata": {}, "output_type": "execute_result" } @@ -1940,7 +1940,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 124, "metadata": {}, "outputs": [ { @@ -2083,7 +2083,7 @@ "[1189068 rows x 4 columns]" ] }, - "execution_count": 73, + "execution_count": 124, "metadata": {}, "output_type": "execute_result" } @@ -2095,7 +2095,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 125, "metadata": {}, "outputs": [], "source": [ @@ -2104,7 +2104,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 126, "metadata": {}, "outputs": [ { @@ -2685,7 +2685,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 75, + "execution_count": 126, "metadata": {}, "output_type": "execute_result" } @@ -2704,7 +2704,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 127, "metadata": {}, "outputs": [ { @@ -2713,7 +2713,7 @@ "1016628" ] }, - "execution_count": 76, + "execution_count": 127, "metadata": {}, "output_type": "execute_result" } @@ -2738,7 +2738,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 128, "metadata": {}, "outputs": [], "source": [ @@ -2762,7 +2762,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 129, "metadata": {}, "outputs": [ { @@ -2771,7 +2771,7 @@ "685787" ] }, - "execution_count": 78, + "execution_count": 129, "metadata": {}, "output_type": "execute_result" } @@ -2797,7 +2797,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 130, "metadata": {}, "outputs": [ { @@ -2806,7 +2806,7 @@ "498648" ] }, - "execution_count": 79, + "execution_count": 130, "metadata": {}, "output_type": "execute_result" } @@ -2832,7 +2832,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 131, "metadata": {}, "outputs": [ { @@ -2841,7 +2841,7 @@ "685787" ] }, - "execution_count": 80, + "execution_count": 131, "metadata": {}, "output_type": "execute_result" } @@ -2867,7 +2867,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 132, "metadata": {}, "outputs": [ { @@ -2876,7 +2876,7 @@ "685787" ] }, - "execution_count": 81, + "execution_count": 132, "metadata": {}, "output_type": "execute_result" } @@ -2897,7 +2897,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 133, "metadata": {}, "outputs": [ { @@ -2906,7 +2906,7 @@ "310048" ] }, - "execution_count": 82, + "execution_count": 133, "metadata": {}, "output_type": "execute_result" } @@ -2934,7 +2934,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 134, "metadata": {}, "outputs": [ { @@ -2943,7 +2943,7 @@ "310048" ] }, - "execution_count": 83, + "execution_count": 134, "metadata": {}, "output_type": "execute_result" } @@ -2987,7 +2987,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 135, "metadata": {}, "outputs": [ { @@ -3568,7 +3568,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 84, + "execution_count": 135, "metadata": {}, "output_type": "execute_result" } @@ -3598,7 +3598,7 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 136, "metadata": {}, "outputs": [ { @@ -4550,7 +4550,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 85, + "execution_count": 136, "metadata": {}, "output_type": "execute_result" } @@ -4572,7 +4572,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 137, "metadata": {}, "outputs": [], "source": [ @@ -4581,7 +4581,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 138, "metadata": {}, "outputs": [ { @@ -5149,7 +5149,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 87, + "execution_count": 138, "metadata": {}, "output_type": "execute_result" } @@ -5176,7 +5176,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 139, "metadata": {}, "outputs": [ { @@ -5208,7 +5208,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 140, "metadata": {}, "outputs": [ { @@ -5776,7 +5776,7 @@ "[1536 rows x 1061 columns]" ] }, - "execution_count": 89, + "execution_count": 140, "metadata": {}, "output_type": "execute_result" } @@ -5796,7 +5796,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 141, "metadata": {}, "outputs": [], "source": [ @@ -5805,7 +5805,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 142, "metadata": {}, "outputs": [], "source": [ @@ -5822,7 +5822,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 143, "metadata": {}, "outputs": [], "source": [ @@ -5833,7 +5833,7 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 144, "metadata": {}, "outputs": [ { @@ -5988,7 +5988,7 @@ "[1511903 rows x 5 columns]" ] }, - "execution_count": 93, + "execution_count": 144, "metadata": {}, "output_type": "execute_result" } @@ -6001,7 +6001,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 145, "metadata": {}, "outputs": [ { @@ -6156,7 +6156,7 @@ "[1379204 rows x 5 columns]" ] }, - "execution_count": 94, + "execution_count": 145, "metadata": {}, "output_type": "execute_result" } @@ -6169,7 +6169,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 146, "metadata": {}, "outputs": [], "source": [ @@ -6179,7 +6179,7 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 147, "metadata": {}, "outputs": [ { @@ -6359,7 +6359,7 @@ "[1511903 rows x 6 columns]" ] }, - "execution_count": 96, + "execution_count": 147, "metadata": {}, "output_type": "execute_result" } @@ -6372,7 +6372,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 148, "metadata": {}, "outputs": [ { @@ -6552,7 +6552,7 @@ "[1511903 rows x 6 columns]" ] }, - "execution_count": 97, + "execution_count": 148, "metadata": {}, "output_type": "execute_result" } @@ -6565,7 +6565,7 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 149, "metadata": {}, "outputs": [ { @@ -6732,7 +6732,7 @@ "[4608 rows x 6 columns]" ] }, - "execution_count": 98, + "execution_count": 149, "metadata": {}, "output_type": "execute_result" } @@ -6745,7 +6745,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 150, "metadata": {}, "outputs": [ { @@ -6950,7 +6950,7 @@ "[1511903 rows x 7 columns]" ] }, - "execution_count": 99, + "execution_count": 150, "metadata": {}, "output_type": "execute_result" } @@ -6963,7 +6963,7 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 151, "metadata": {}, "outputs": [ { @@ -6980,7 +6980,7 @@ " dtype=object)" ] }, - "execution_count": 100, + "execution_count": 151, "metadata": {}, "output_type": "execute_result" } @@ -6992,7 +6992,7 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 152, "metadata": {}, "outputs": [ { @@ -7209,7 +7209,7 @@ "[1511903 rows x 8 columns]" ] }, - "execution_count": 101, + "execution_count": 152, "metadata": {}, "output_type": "execute_result" } @@ -7222,7 +7222,7 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 153, "metadata": {}, "outputs": [ { @@ -7439,7 +7439,7 @@ "[1511903 rows x 8 columns]" ] }, - "execution_count": 102, + "execution_count": 153, "metadata": {}, "output_type": "execute_result" } @@ -7452,213 +7452,19 @@ }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 154, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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CountryYearContinentIndicator Name0UnitsSubgroup
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of population)total
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of rural population)rural
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000(% of urban population)urban
3DEU1990EuropeAccess to electricity1.000000(% of population)total
4DEU1990EuropeAccess to electricity1.000000(% of rural population)rural
........................
1511898CHN2021PairWage and salaried workers0.588267(% of female employmentfemale
1511899CHN2021PairWage and salaried workers0.631579(% of male employmentmale
1511900CHN2021PairWage and salaried workers0.612643(% of total employmenttotal
1511901CHN2021PairWater productivity0.391767(constant 2015 US$ GDP per cubic meter of tota...total
1511902CHN2021PairWomen Business and the Law Index Score1.061404(scale 1-100)total
\n", - "

1511903 rows × 7 columns

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" - ], - "text/plain": [ - " Country Year Continent \\\n", - "0 DEU 1990 Europe \n", - "1 DEU 1990 Europe \n", - "2 DEU 1990 Europe \n", - "3 DEU 1990 Europe \n", - "4 DEU 1990 Europe \n", - "... ... ... ... \n", - "1511898 CHN 2021 Pair \n", - "1511899 CHN 2021 Pair \n", - "1511900 CHN 2021 Pair \n", - "1511901 CHN 2021 Pair \n", - "1511902 CHN 2021 Pair \n", - "\n", - " Indicator Name 0 \\\n", - "0 Access to clean fuels and technologies for coo... 1.000000 \n", - "1 Access to clean fuels and technologies for coo... 1.000000 \n", - "2 Access to clean fuels and technologies for coo... 1.000000 \n", - "3 Access to electricity 1.000000 \n", - "4 Access to electricity 1.000000 \n", - "... ... ... \n", - "1511898 Wage and salaried workers 0.588267 \n", - "1511899 Wage and salaried workers 0.631579 \n", - "1511900 Wage and salaried workers 0.612643 \n", - "1511901 Water productivity 0.391767 \n", - "1511902 Women Business and the Law Index Score 1.061404 \n", - "\n", - " Units Subgroup \n", - "0 (% of population) total \n", - "1 (% of rural population) rural \n", - "2 (% of urban population) urban \n", - "3 (% of population) total \n", - "4 (% of rural population) rural \n", - "... ... ... \n", - "1511898 (% of female employment female \n", - "1511899 (% of male employment male \n", - "1511900 (% of total employment total \n", - "1511901 (constant 2015 US$ GDP per cubic meter of tota... total \n", - "1511902 (scale 1-100) total \n", - "\n", - "[1511903 rows x 7 columns]" - ] - }, - "execution_count": 103, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "#Checking of previous step, as not all of them have this second element.\n", "Categorization['Subgroup']=Categorization['Subgroup'].replace(['None'],['total'])\n", "Categorization['Subgroup']=Categorization['Subgroup'].fillna('total')\n", - "Categorization.drop(columns='Other specification')" + "Categorization.drop(columns='Other specification', inplace=True)" ] }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 155, "metadata": {}, "outputs": [ { @@ -8064,7 +7870,7 @@ " dtype=object)" ] }, - "execution_count": 104, + "execution_count": 155, "metadata": {}, "output_type": "execute_result" } @@ -8075,7 +7881,7 @@ }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 156, "metadata": {}, "outputs": [ { @@ -8105,7 +7911,6 @@ " Indicator Name\n", " 0\n", " Units\n", - " Other specification\n", " Subgroup\n", " \n", " \n", @@ -8118,7 +7923,6 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " (% of population)\n", - " None\n", " total\n", " \n", " \n", @@ -8129,7 +7933,6 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " (% of rural population)\n", - " None\n", " rural\n", " \n", " \n", @@ -8140,7 +7943,6 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " (% of urban population)\n", - " None\n", " urban\n", " \n", " \n", @@ -8151,7 +7953,6 @@ " Access to electricity\n", " 1.000000\n", " (% of population)\n", - " None\n", " total\n", " \n", " \n", @@ -8162,7 +7963,6 @@ " Access to electricity\n", " 1.000000\n", " (% of rural population)\n", - " None\n", " rural\n", " \n", " \n", @@ -8174,7 +7974,6 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", " 1511898\n", @@ -8184,7 +7983,6 @@ " Wage and salaried workers\n", " 0.588267\n", " (% of female employment\n", - " (modeled ILO estimate)\n", " female\n", " \n", " \n", @@ -8195,7 +7993,6 @@ " Wage and salaried workers\n", " 0.631579\n", " (% of male employment\n", - " (modeled ILO estimate)\n", " male\n", " \n", " \n", @@ -8206,7 +8003,6 @@ " Wage and salaried workers\n", " 0.612643\n", " (% of total employment\n", - " (modeled ILO estimate)\n", " total\n", " \n", " \n", @@ -8217,7 +8013,6 @@ " Water productivity\n", " 0.391767\n", " (constant 2015 US$ GDP per cubic meter of tota...\n", - " None\n", " total\n", " \n", " \n", @@ -8228,12 +8023,11 @@ " Women Business and the Law Index Score\n", " 1.061404\n", " (scale 1-100)\n", - " None\n", " total\n", " \n", " \n", "\n", - "

1511903 rows × 8 columns

\n", + "

1511903 rows × 7 columns

\n", "" ], "text/plain": [ @@ -8263,36 +8057,23 @@ "1511901 Water productivity 0.391767 \n", "1511902 Women Business and the Law Index Score 1.061404 \n", "\n", - " Units \\\n", - "0 (% of population) \n", - "1 (% of rural population) \n", - "2 (% of urban population) \n", - "3 (% of population) \n", - "4 (% of rural population) \n", - "... ... \n", - "1511898 (% of female employment \n", - "1511899 (% of male employment \n", - "1511900 (% of total employment \n", - "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", - "1511902 (scale 1-100) \n", - "\n", - " Other specification Subgroup \n", - "0 None total \n", - "1 None rural \n", - "2 None urban \n", - "3 None total \n", - "4 None rural \n", - "... ... ... \n", - "1511898 (modeled ILO estimate) female \n", - "1511899 (modeled ILO estimate) male \n", - "1511900 (modeled ILO estimate) total \n", - "1511901 None total \n", - "1511902 None total \n", + " Units Subgroup \n", + "0 (% of population) total \n", + "1 (% of rural population) rural \n", + "2 (% of urban population) urban \n", + "3 (% of population) total \n", + "4 (% of rural population) rural \n", + "... ... ... \n", + "1511898 (% of female employment female \n", + "1511899 (% of male employment male \n", + "1511900 (% of total employment total \n", + "1511901 (constant 2015 US$ GDP per cubic meter of tota... total \n", + "1511902 (scale 1-100) total \n", "\n", - "[1511903 rows x 8 columns]" + "[1511903 rows x 7 columns]" ] }, - "execution_count": 105, + "execution_count": 156, "metadata": {}, "output_type": "execute_result" } From 4cc57e070c7b27e822b625d398ee901524d4bebb Mon Sep 17 00:00:00 2001 From: amarchve Date: Mon, 25 Jul 2022 12:15:45 +0200 Subject: [PATCH 12/86] Normalization fixed --- WDI-Complete code.ipynb | 1203 +++++++++++---------------------------- 1 file changed, 321 insertions(+), 882 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 25196bb..17efd88 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 106, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 107, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -434,7 +434,7 @@ "[384370 rows x 67 columns]" ] }, - "execution_count": 107, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -460,7 +460,7 @@ }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -506,7 +506,7 @@ }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -522,7 +522,7 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -538,7 +538,7 @@ }, { "cell_type": "code", - "execution_count": 111, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -681,7 +681,7 @@ "[1769879 rows x 4 columns]" ] }, - "execution_count": 111, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -702,7 +702,7 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 113, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -724,7 +724,7 @@ "dtype: object" ] }, - "execution_count": 113, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -735,7 +735,7 @@ }, { "cell_type": "code", - "execution_count": 114, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -878,7 +878,7 @@ "[1225418 rows x 4 columns]" ] }, - "execution_count": 114, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -890,7 +890,7 @@ }, { "cell_type": "code", - "execution_count": 115, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -947,16 +947,16 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 116, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -968,7 +968,7 @@ }, { "cell_type": "code", - "execution_count": 117, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -1099,7 +1099,7 @@ "[59239 rows x 2 columns]" ] }, - "execution_count": 117, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 118, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1224,7 +1224,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 118, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1237,7 +1237,7 @@ }, { "cell_type": "code", - "execution_count": 119, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -1341,7 +1341,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 119, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1361,7 +1361,7 @@ }, { "cell_type": "code", - "execution_count": 120, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -1528,7 +1528,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 120, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1541,7 +1541,7 @@ }, { "cell_type": "code", - "execution_count": 121, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -1550,7 +1550,7 @@ "['Country Code', 'Indicator Name', 'Date', 'Value_x', 'Value_y', 'Value']" ] }, - "execution_count": 121, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1568,7 +1568,7 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1735,7 +1735,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 122, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -1754,7 +1754,7 @@ }, { "cell_type": "code", - "execution_count": 123, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1921,7 +1921,7 @@ "[1189068 rows x 6 columns]" ] }, - "execution_count": 123, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1940,7 +1940,7 @@ }, { "cell_type": "code", - "execution_count": 124, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -2083,7 +2083,7 @@ "[1189068 rows x 4 columns]" ] }, - "execution_count": 124, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -2095,7 +2095,7 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -2104,7 +2104,7 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -2685,7 +2685,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 126, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -2704,7 +2704,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -2713,7 +2713,7 @@ "1016628" ] }, - "execution_count": 127, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -2738,13 +2738,13 @@ }, { "cell_type": "code", - "execution_count": 128, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "df=SilverDataFrame\n", "europe_list=['DEU','FRA','SWE','GBR','ESP','HRV','POL','GRC','AUT','NLD']\n", - "persian_list=['IRQ','QAT','ARE','SAU','AZE','YEM','YDR','OMN']\n", + "persian_list=['IRQ','QAT','ARE','SAU','AZE','YEM','OMN']\n", "naf_list=['DZA','EGY','LBY','ISR','TUR','MAR']\n", "saf_list=['SEN','ZAF','LBR','MOZ','CMR','NGA','GHA']\n", "asia_list=['BGD','IND','VNM','THA','IDN','PHL','KOR']\n", @@ -2762,7 +2762,7 @@ }, { "cell_type": "code", - "execution_count": 129, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -2771,7 +2771,7 @@ "685787" ] }, - "execution_count": 129, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -2797,7 +2797,7 @@ }, { "cell_type": "code", - "execution_count": 130, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -2806,7 +2806,7 @@ "498648" ] }, - "execution_count": 130, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -2832,7 +2832,7 @@ }, { "cell_type": "code", - "execution_count": 131, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -2841,7 +2841,7 @@ "685787" ] }, - "execution_count": 131, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -2867,7 +2867,7 @@ }, { "cell_type": "code", - "execution_count": 132, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -2876,7 +2876,7 @@ "685787" ] }, - "execution_count": 132, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -2897,7 +2897,7 @@ }, { "cell_type": "code", - "execution_count": 133, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -2906,7 +2906,7 @@ "310048" ] }, - "execution_count": 133, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -2934,7 +2934,7 @@ }, { "cell_type": "code", - "execution_count": 134, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -2943,7 +2943,7 @@ "310048" ] }, - "execution_count": 134, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -2987,7 +2987,7 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -3568,7 +3568,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 135, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -3598,7 +3598,7 @@ }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -4550,7 +4550,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 136, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -4572,7 +4572,7 @@ }, { "cell_type": "code", - "execution_count": 137, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -4581,7 +4581,20 @@ }, { "cell_type": "code", - "execution_count": 138, + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "datae=data.loc[data.loc[:, 'Country'] == country_list[0]]\n", + "for i in range(2,len(columns)):\n", + " a=columns[i]\n", + " datae[a]=datae[a]/datae.iloc[0,i]\n", + "datau=datae" + ] + }, + { + "cell_type": "code", + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -4633,14 +4646,14 @@ " 352\n", " DEU\n", " 1990\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", " 1.0\n", - " 1.00000\n", - " 1.00000\n", + " 1.000000\n", + " 1.000000\n", " ...\n", " 1.000000\n", " 1.000000\n", @@ -4657,14 +4670,14 @@ " 353\n", " DEU\n", " 1991\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", " 1.0\n", - " 1.00000\n", - " 1.00000\n", + " 1.000000\n", + " 1.000000\n", " ...\n", " 0.885023\n", " 0.999209\n", @@ -4681,14 +4694,14 @@ " 354\n", " DEU\n", " 1992\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", " 1.0\n", - " 1.00000\n", - " 1.00000\n", + " 1.000000\n", + " 1.000000\n", " ...\n", " 0.837277\n", " 0.998418\n", @@ -4705,14 +4718,14 @@ " 355\n", " DEU\n", " 1993\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", " 1.0\n", - " 1.00000\n", - " 1.00000\n", + " 1.000000\n", + " 1.000000\n", " ...\n", " 0.798935\n", " 0.997627\n", @@ -4729,14 +4742,14 @@ " 356\n", " DEU\n", " 1994\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", " 1.0\n", - " 1.00000\n", - " 1.00000\n", + " 1.000000\n", + " 1.000000\n", " ...\n", " 0.602296\n", " 0.996836\n", @@ -4777,121 +4790,121 @@ " 251\n", " CHN\n", " 2017\n", - " 0.732\n", - " 0.552\n", - " 0.862\n", - " 1.0\n", + " 1.742857\n", + " 2.348936\n", + " 1.261156\n", + " 1.030696\n", + " 1.048707\n", " 1.0\n", - " 1.0\n", - " 0.81755\n", - " 0.77367\n", + " 1.257169\n", + " 1.272562\n", " ...\n", - " 2.593482\n", - " 1.386317\n", - " 8.163158\n", - " 8.947917\n", - " 8.613153\n", - " 0.569582\n", - " 0.607900\n", - " 0.591166\n", - " 0.391767\n", - " 1.061404\n", + " 0.635700\n", + " 1.362819\n", + " 0.707250\n", + " 0.617275\n", + " 0.656204\n", + " 1.555786\n", + " 1.984976\n", + " 1.768798\n", + " 8.610987\n", + " 1.273684\n", " \n", " \n", " 252\n", " CHN\n", " 2018\n", - " 0.756\n", - " 0.590\n", - " 0.874\n", - " 1.0\n", + " 1.800000\n", + " 2.510638\n", + " 1.278713\n", + " 1.030696\n", + " 1.048707\n", " 1.0\n", - " 1.0\n", - " 0.81755\n", - " 0.77367\n", + " 1.257169\n", + " 1.272562\n", " ...\n", - " 2.369825\n", - " 1.386317\n", - " 8.021053\n", - " 8.737500\n", - " 8.435203\n", - " 0.578055\n", - " 0.618786\n", - " 0.601018\n", - " 0.391767\n", - " 1.061404\n", + " 0.580879\n", + " 1.362819\n", + " 0.694938\n", + " 0.602759\n", + " 0.642647\n", + " 1.578932\n", + " 2.020520\n", + " 1.798278\n", + " 8.610987\n", + " 1.273684\n", " \n", " \n", " 253\n", " CHN\n", " 2019\n", - " 0.776\n", - " 0.619\n", - " 0.884\n", - " 1.0\n", + " 1.847619\n", + " 2.634043\n", + " 1.293343\n", + " 1.030696\n", + " 1.048707\n", " 1.0\n", - " 1.0\n", - " 0.81755\n", - " 0.77367\n", + " 1.257169\n", + " 1.272562\n", " ...\n", - " 2.167979\n", - " 1.386317\n", - " 7.852632\n", - " 8.504167\n", - " 8.228240\n", - " 0.588267\n", - " 0.631579\n", - " 0.612643\n", - " 0.391767\n", - " 1.061404\n", + " 0.531403\n", + " 1.362819\n", + " 0.680347\n", + " 0.586663\n", + " 0.626879\n", + " 1.606825\n", + " 2.062294\n", + " 1.833057\n", + " 8.610987\n", + " 1.273684\n", " \n", " \n", " 254\n", " CHN\n", " 2020\n", - " 0.794\n", - " 0.652\n", - " 0.894\n", - " 1.0\n", + " 1.890476\n", + " 2.774468\n", + " 1.307974\n", + " 1.030696\n", + " 1.048707\n", " 1.0\n", - " 1.0\n", - " 0.81755\n", - " 0.77367\n", + " 1.257169\n", + " 1.272562\n", " ...\n", - " 1.955807\n", - " 1.386317\n", - " 7.852632\n", - " 8.504167\n", - " 8.228240\n", - " 0.588267\n", - " 0.631579\n", - " 0.612643\n", - " 0.391767\n", - " 1.061404\n", + " 0.479397\n", + " 1.362819\n", + " 0.680347\n", + " 0.586663\n", + " 0.626879\n", + " 1.606825\n", + " 2.062294\n", + " 1.833057\n", + " 8.610987\n", + " 1.273684\n", " \n", " \n", " 255\n", " CHN\n", " 2021\n", - " 0.794\n", - " 0.652\n", - " 0.894\n", - " 1.0\n", + " 1.890476\n", + " 2.774468\n", + " 1.307974\n", + " 1.030696\n", + " 1.048707\n", " 1.0\n", - " 1.0\n", - " 0.81755\n", - " 0.77367\n", - " ...\n", - " 1.955807\n", - " 1.386317\n", - " 7.852632\n", - " 8.504167\n", - " 8.228240\n", - " 0.588267\n", - " 0.631579\n", - " 0.612643\n", - " 0.391767\n", - " 1.061404\n", + " 1.257169\n", + " 1.272562\n", + " ...\n", + " 0.479397\n", + " 1.362819\n", + " 0.680347\n", + " 0.586663\n", + " 0.626879\n", + " 1.606825\n", + " 2.062294\n", + " 1.833057\n", + " 8.610987\n", + " 1.273684\n", " \n", " \n", "\n", @@ -4913,69 +4926,69 @@ "255 CHN 2021 \n", "\n", "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", - "352 1.000 \n", - "353 1.000 \n", - "354 1.000 \n", - "355 1.000 \n", - "356 1.000 \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", ".. ... \n", - "251 0.732 \n", - "252 0.756 \n", - "253 0.776 \n", - "254 0.794 \n", - "255 0.794 \n", + "251 1.742857 \n", + "252 1.800000 \n", + "253 1.847619 \n", + "254 1.890476 \n", + "255 1.890476 \n", "\n", "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", - "352 1.000 \n", - "353 1.000 \n", - "354 1.000 \n", - "355 1.000 \n", - "356 1.000 \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", ".. ... \n", - "251 0.552 \n", - "252 0.590 \n", - "253 0.619 \n", - "254 0.652 \n", - "255 0.652 \n", + "251 2.348936 \n", + "252 2.510638 \n", + "253 2.634043 \n", + "254 2.774468 \n", + "255 2.774468 \n", "\n", "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", - "352 1.000 \n", - "353 1.000 \n", - "354 1.000 \n", - "355 1.000 \n", - "356 1.000 \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", ".. ... \n", - "251 0.862 \n", - "252 0.874 \n", - "253 0.884 \n", - "254 0.894 \n", - "255 0.894 \n", + "251 1.261156 \n", + "252 1.278713 \n", + "253 1.293343 \n", + "254 1.307974 \n", + "255 1.307974 \n", "\n", "Indicator Access to electricity (% of population) \\\n", - "352 1.0 \n", - "353 1.0 \n", - "354 1.0 \n", - "355 1.0 \n", - "356 1.0 \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", ".. ... \n", - "251 1.0 \n", - "252 1.0 \n", - "253 1.0 \n", - "254 1.0 \n", - "255 1.0 \n", + "251 1.030696 \n", + "252 1.030696 \n", + "253 1.030696 \n", + "254 1.030696 \n", + "255 1.030696 \n", "\n", "Indicator Access to electricity, rural (% of rural population) \\\n", - "352 1.0 \n", - "353 1.0 \n", - "354 1.0 \n", - "355 1.0 \n", - "356 1.0 \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", ".. ... \n", - "251 1.0 \n", - "252 1.0 \n", - "253 1.0 \n", - "254 1.0 \n", - "255 1.0 \n", + "251 1.048707 \n", + "252 1.048707 \n", + "253 1.048707 \n", + "254 1.048707 \n", + "255 1.048707 \n", "\n", "Indicator Access to electricity, urban (% of urban population) \\\n", "352 1.0 \n", @@ -4991,30 +5004,30 @@ "255 1.0 \n", "\n", "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", - "352 1.00000 \n", - "353 1.00000 \n", - "354 1.00000 \n", - "355 1.00000 \n", - "356 1.00000 \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", ".. ... \n", - "251 0.81755 \n", - "252 0.81755 \n", - "253 0.81755 \n", - "254 0.81755 \n", - "255 0.81755 \n", + "251 1.257169 \n", + "252 1.257169 \n", + "253 1.257169 \n", + "254 1.257169 \n", + "255 1.257169 \n", "\n", "Indicator Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) \\\n", - "352 1.00000 \n", - "353 1.00000 \n", - "354 1.00000 \n", - "355 1.00000 \n", - "356 1.00000 \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", ".. ... \n", - "251 0.77367 \n", - "252 0.77367 \n", - "253 0.77367 \n", - "254 0.77367 \n", - "255 0.77367 \n", + "251 1.272562 \n", + "252 1.272562 \n", + "253 1.272562 \n", + "254 1.272562 \n", + "255 1.272562 \n", "\n", "Indicator ... Urban population growth (annual %) \\\n", "352 ... 1.000000 \n", @@ -5023,11 +5036,11 @@ "355 ... 0.798935 \n", "356 ... 0.602296 \n", ".. ... ... \n", - "251 ... 2.593482 \n", - "252 ... 2.369825 \n", - "253 ... 2.167979 \n", - "254 ... 1.955807 \n", - "255 ... 1.955807 \n", + "251 ... 0.635700 \n", + "252 ... 0.580879 \n", + "253 ... 0.531403 \n", + "254 ... 0.479397 \n", + "255 ... 0.479397 \n", "\n", "Indicator Urban population living in areas where elevation is below 5 meters (% of total population) \\\n", "352 1.000000 \n", @@ -5036,11 +5049,11 @@ "355 0.997627 \n", "356 0.996836 \n", ".. ... \n", - "251 1.386317 \n", - "252 1.386317 \n", - "253 1.386317 \n", - "254 1.386317 \n", - "255 1.386317 \n", + "251 1.362819 \n", + "252 1.362819 \n", + "253 1.362819 \n", + "254 1.362819 \n", + "255 1.362819 \n", "\n", "Indicator Vulnerable employment, female (% of female employment) (modeled ILO estimate) \\\n", "352 1.000000 \n", @@ -5049,11 +5062,11 @@ "355 1.026316 \n", "356 0.984210 \n", ".. ... \n", - "251 8.163158 \n", - "252 8.021053 \n", - "253 7.852632 \n", - "254 7.852632 \n", - "255 7.852632 \n", + "251 0.707250 \n", + "252 0.694938 \n", + "253 0.680347 \n", + "254 0.680347 \n", + "255 0.680347 \n", "\n", "Indicator Vulnerable employment, male (% of male employment) (modeled ILO estimate) \\\n", "352 1.000000 \n", @@ -5062,11 +5075,11 @@ "355 1.050000 \n", "356 1.083333 \n", ".. ... \n", - "251 8.947917 \n", - "252 8.737500 \n", - "253 8.504167 \n", - "254 8.504167 \n", - "255 8.504167 \n", + "251 0.617275 \n", + "252 0.602759 \n", + "253 0.586663 \n", + "254 0.586663 \n", + "255 0.586663 \n", "\n", "Indicator Vulnerable employment, total (% of total employment) (modeled ILO estimate) \\\n", "352 1.000000 \n", @@ -5075,11 +5088,11 @@ "355 1.040619 \n", "356 1.038685 \n", ".. ... \n", - "251 8.613153 \n", - "252 8.435203 \n", - "253 8.228240 \n", - "254 8.228240 \n", - "255 8.228240 \n", + "251 0.656204 \n", + "252 0.642647 \n", + "253 0.626879 \n", + "254 0.626879 \n", + "255 0.626879 \n", "\n", "Indicator Wage and salaried workers, female (% of female employment) (modeled ILO estimate) \\\n", "352 1.000000 \n", @@ -5088,11 +5101,11 @@ "355 0.995872 \n", "356 0.995437 \n", ".. ... \n", - "251 0.569582 \n", - "252 0.578055 \n", - "253 0.588267 \n", - "254 0.588267 \n", - "255 0.588267 \n", + "251 1.555786 \n", + "252 1.578932 \n", + "253 1.606825 \n", + "254 1.606825 \n", + "255 1.606825 \n", "\n", "Indicator Wage and salaried workers, male (% of male employment) (modeled ILO estimate) \\\n", "352 1.000000 \n", @@ -5101,11 +5114,11 @@ "355 0.990349 \n", "356 0.984626 \n", ".. ... \n", - "251 0.607900 \n", - "252 0.618786 \n", - "253 0.631579 \n", - "254 0.631579 \n", - "255 0.631579 \n", + "251 1.984976 \n", + "252 2.020520 \n", + "253 2.062294 \n", + "254 2.062294 \n", + "255 2.062294 \n", "\n", "Indicator Wage and salaried workers, total (% of total employment) (modeled ILO estimate) \\\n", "352 1.000000 \n", @@ -5114,11 +5127,11 @@ "355 0.992693 \n", "356 0.989372 \n", ".. ... \n", - "251 0.591166 \n", - "252 0.601018 \n", - "253 0.612643 \n", - "254 0.612643 \n", - "255 0.612643 \n", + "251 1.768798 \n", + "252 1.798278 \n", + "253 1.833057 \n", + "254 1.833057 \n", + "255 1.833057 \n", "\n", "Indicator Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) \\\n", "352 1.000000 \n", @@ -5127,11 +5140,11 @@ "355 1.027882 \n", "356 1.055765 \n", ".. ... \n", - "251 0.391767 \n", - "252 0.391767 \n", - "253 0.391767 \n", - "254 0.391767 \n", - "255 0.391767 \n", + "251 8.610987 \n", + "252 8.610987 \n", + "253 8.610987 \n", + "254 8.610987 \n", + "255 8.610987 \n", "\n", "Indicator Women Business and the Law Index Score (scale 1-100) \n", "352 1.000000 \n", @@ -5140,23 +5153,28 @@ "355 1.000000 \n", "356 1.000000 \n", ".. ... \n", - "251 1.061404 \n", - "252 1.061404 \n", - "253 1.061404 \n", - "254 1.061404 \n", - "255 1.061404 \n", + "251 1.273684 \n", + "252 1.273684 \n", + "253 1.273684 \n", + "254 1.273684 \n", + "255 1.273684 \n", "\n", "[1536 rows x 1060 columns]" ] }, - "execution_count": 138, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "for i in range(2,len(columns)):\n", - " data[columns[i]]=data[columns[i]]/data.iloc[0,i]\n", + "for u in range(1,len(country_list)):\n", + " datae=data.loc[data.loc[:, 'Country'] == country_list[u]] \n", + " for i in range(2,len(columns)):\n", + " a=columns[i]\n", + " datae[a]=datae[a]/datae.iloc[0,i]\n", + " datau=pd.concat((datau, datae), axis = 0)\n", + "data=datau\n", "data" ] }, @@ -8942,585 +8960,6 @@ "So, we can do it with all the countries and create just one dataframe." ] }, - { - "cell_type": "code", - "execution_count": 148, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Unnamed: 0CountryYearAccess to clean fuels and technologies for cooking (% of population).lAccess to clean fuels and technologies for cooking, rural (% of rural population).lAccess to clean fuels and technologies for cooking, urban (% of urban population).lAccess to electricity (% of population).lAccess to electricity, rural (% of rural population).lAccess to electricity, urban (% of urban population).lAccount ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+).l...Wage and salaried workers, male (% of male employment) (modeled ILO estimate).logWage and salaried workers, total (% of total employment) (modeled ILO estimate).^2Wage and salaried workers, total (% of total employment) (modeled ILO estimate).^3Wage and salaried workers, total (% of total employment) (modeled ILO estimate).logWater productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal).^2Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal).^3Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal).logWomen Business and the Law Index Score (scale 1-100).^2Women Business and the Law Index Score (scale 1-100).^3Women Business and the Law Index Score (scale 1-100).log
0352DEU19901.0001.0001.0001.01.01.01.00000...0.0000001.0000001.0000000.0000001.0000001.0000000.0000001.0000001.0000000.000000
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4356DEU19941.0001.0001.0001.01.01.01.00000...-0.0154940.9788580.968455-0.0106851.1146391.1767970.0542651.0000001.0000000.000000
..................................................................
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1535255CHN20210.7940.6520.8941.01.01.00.81755...-0.4595320.3753310.229944-0.4899740.1534820.060129-0.9370871.1265771.1957530.059592
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" - ], - "text/plain": [ - " Unnamed: 0 Country Year \\\n", - "0 352 DEU 1990 \n", - "1 353 DEU 1991 \n", - "2 354 DEU 1992 \n", - "3 355 DEU 1993 \n", - "4 356 DEU 1994 \n", - "... ... ... ... \n", - "1531 251 CHN 2017 \n", - "1532 252 CHN 2018 \n", - "1533 253 CHN 2019 \n", - "1534 254 CHN 2020 \n", - "1535 255 CHN 2021 \n", - "\n", - " Access to clean fuels and technologies for cooking (% of population).l \\\n", - "0 1.000 \n", - "1 1.000 \n", - "2 1.000 \n", - "3 1.000 \n", - "4 1.000 \n", - "... ... \n", - "1531 0.732 \n", - "1532 0.756 \n", - "1533 0.776 \n", - "1534 0.794 \n", - "1535 0.794 \n", - "\n", - " Access to clean fuels and technologies for cooking, rural (% of rural population).l \\\n", - "0 1.000 \n", - "1 1.000 \n", - "2 1.000 \n", - "3 1.000 \n", - "4 1.000 \n", - "... ... \n", - "1531 0.552 \n", - "1532 0.590 \n", - "1533 0.619 \n", - "1534 0.652 \n", - "1535 0.652 \n", - "\n", - " Access to clean fuels and technologies for cooking, urban (% of urban population).l \\\n", - "0 1.000 \n", - "1 1.000 \n", - "2 1.000 \n", - "3 1.000 \n", - "4 1.000 \n", - "... ... \n", - "1531 0.862 \n", - "1532 0.874 \n", - "1533 0.884 \n", - "1534 0.894 \n", - "1535 0.894 \n", - "\n", - " Access to electricity (% of population).l \\\n", - "0 1.0 \n", - "1 1.0 \n", - "2 1.0 \n", - "3 1.0 \n", - "4 1.0 \n", - "... ... \n", - "1531 1.0 \n", - "1532 1.0 \n", - "1533 1.0 \n", - "1534 1.0 \n", - "1535 1.0 \n", - "\n", - " Access to electricity, rural (% of rural population).l \\\n", - "0 1.0 \n", - "1 1.0 \n", - "2 1.0 \n", - "3 1.0 \n", - "4 1.0 \n", - "... ... \n", - "1531 1.0 \n", - "1532 1.0 \n", - "1533 1.0 \n", - "1534 1.0 \n", - "1535 1.0 \n", - "\n", - " Access to electricity, urban (% of urban population).l \\\n", - "0 1.0 \n", - "1 1.0 \n", - "2 1.0 \n", - "3 1.0 \n", - "4 1.0 \n", - "... ... \n", - "1531 1.0 \n", - "1532 1.0 \n", - "1533 1.0 \n", - "1534 1.0 \n", - "1535 1.0 \n", - "\n", - " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+).l \\\n", - 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"1534 0.375331 \n", - "1535 0.375331 \n", - "\n", - " Wage and salaried workers, total (% of total employment) (modeled ILO estimate).^3 \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 0.988091 \n", - "3 0.978240 \n", - "4 0.968455 \n", - "... ... \n", - "1531 0.206599 \n", - "1532 0.217102 \n", - "1533 0.229944 \n", - "1534 0.229944 \n", - "1535 0.229944 \n", - "\n", - " Wage and salaried workers, total (% of total employment) (modeled ILO estimate).log \\\n", - "0 0.000000 \n", - "1 0.000000 \n", - "2 -0.003993 \n", - "3 -0.007333 \n", - "4 -0.010685 \n", - "... ... \n", - "1531 -0.525659 \n", - "1532 -0.509130 \n", - "1533 -0.489974 \n", - "1534 -0.489974 \n", - "1535 -0.489974 \n", - "\n", - " Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal).^2 \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.000000 \n", - "3 1.056542 \n", - "4 1.114639 \n", - "... ... \n", - "1531 0.153482 \n", - "1532 0.153482 \n", - "1533 0.153482 \n", - "1534 0.153482 \n", - "1535 0.153482 \n", - "\n", - " Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal).^3 \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.000000 \n", - "3 1.086001 \n", - "4 1.176797 \n", - "... ... \n", - "1531 0.060129 \n", - "1532 0.060129 \n", - "1533 0.060129 \n", - "1534 0.060129 \n", - "1535 0.060129 \n", - "\n", - " Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal).log \\\n", - "0 0.000000 \n", - "1 0.000000 \n", - "2 0.000000 \n", - "3 0.027501 \n", - "4 0.054265 \n", - "... ... \n", - "1531 -0.937087 \n", - "1532 -0.937087 \n", - "1533 -0.937087 \n", - "1534 -0.937087 \n", - "1535 -0.937087 \n", - "\n", - " Women Business and the Law Index Score (scale 1-100).^2 \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.000000 \n", - "3 1.000000 \n", - "4 1.000000 \n", - "... ... \n", - "1531 1.126577 \n", - "1532 1.126577 \n", - "1533 1.126577 \n", - "1534 1.126577 \n", - "1535 1.126577 \n", - "\n", - " Women Business and the Law Index Score (scale 1-100).^3 \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.000000 \n", - "3 1.000000 \n", - "4 1.000000 \n", - "... ... \n", - "1531 1.195753 \n", - "1532 1.195753 \n", - "1533 1.195753 \n", - "1534 1.195753 \n", - "1535 1.195753 \n", - "\n", - " Women Business and the Law Index Score (scale 1-100).log \n", - "0 0.000000 \n", - "1 0.000000 \n", - "2 0.000000 \n", - "3 0.000000 \n", - "4 0.000000 \n", - "... ... \n", - "1531 0.059592 \n", - "1532 0.059592 \n", - "1533 0.059592 \n", - "1534 0.059592 \n", - "1535 0.059592 \n", - "\n", - "[1536 rows x 4236 columns]" - ] - }, - "execution_count": 148, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df" - ] - }, { "cell_type": "code", "execution_count": 149, @@ -13596,7 +13035,7 @@ }, "vscode": { "interpreter": { - "hash": "292912297167048338b5d1136ec8c661b8a2f1d3fcecd6650d637809a967c218" + "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" } } }, From 1120fd62445aabce5e1407d5dca741be83387664 Mon Sep 17 00:00:00 2001 From: amarchve Date: Mon, 25 Jul 2022 13:09:59 +0200 Subject: [PATCH 13/86] shifts --- WDI-Complete code.ipynb | 1271 +++++++++++++++++++++++++++------------ 1 file changed, 889 insertions(+), 382 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 17efd88..00fe452 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -953,7 +953,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -5174,59 +5174,12 @@ " a=columns[i]\n", " datae[a]=datae[a]/datae.iloc[0,i]\n", " datau=pd.concat((datau, datae), axis = 0)\n", - "data=datau\n", - "data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For the next part of analyzing this data, we think it is gonna be interesting to have it classify by the categories of the Country groups defined before, to which we call \"Continent\". This category is useful as it groups the nations with similar economies or geographical proximity, so we can extract common conclusions from them." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We create a dictionary with the regions and the countries included in each one. Where we will relate the countries and regions so then we can apply the .map function and arrive to the final dataframe." - ] - }, - { - "cell_type": "code", - "execution_count": 139, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'DEU': 'Europe', 'FRA': 'Europe', 'SWE': 'Europe', 'GBR': 'Europe', 'ESP': 'Europe', 'HRV': 'Europe', 'POL': 'Europe', 'GRC': 'Europe', 'AUT': 'Europe', 'NLD': 'Europe', 'IRQ': 'Persian Gulf', 'QAT': 'Persian Gulf', 'ARE': 'Persian Gulf', 'SAU': 'Persian Gulf', 'AZE': 'Persian Gulf', 'YEM': 'Persian Gulf', 'YDR': 'Persian Gulf', 'OMN': 'Persian Gulf', 'DZA': 'North Africa', 'EGY': 'North Africa', 'LBY': 'North Africa', 'ISR': 'North Africa', 'TUR': 'North Africa', 'MAR': 'North Africa', 'SEN': 'South Africa', 'ZAF': 'South Africa', 'LBR': 'South Africa', 'MOZ': 'South Africa', 'CMR': 'South Africa', 'NGA': 'South Africa', 'GHA': 'South Africa', 'BGD': 'Asia', 'IND': 'Asia', 'VNM': 'Asia', 'THA': 'Asia', 'IDN': 'Asia', 'PHL': 'Asia', 'KOR': 'Asia', 'MEX': 'Latam', 'BRA': 'Latam', 'ARG': 'Latam', 'PER': 'Latam', 'VEN': 'Latam', 'COL': 'Latam', 'CHL': 'Latam', 'PAN': 'Latam', 'CRI': 'Latam', 'USA': 'Pair', 'CHN': 'Pair'}\n" - ] - } - ], - "source": [ - "countries_by_region = {\n", - " \"Europe\": ('DEU','FRA','SWE','GBR','ESP','HRV','POL','GRC','AUT','NLD'),\n", - " 'Persian Gulf': ('IRQ','QAT','ARE','SAU','AZE','YEM','YDR','OMN'),\n", - " 'North Africa':('DZA','EGY','LBY','ISR','TUR','MAR'),\n", - " 'South Africa':('SEN','ZAF','LBR','MOZ','CMR','NGA','GHA'),\n", - " 'Asia':('BGD','IND','VNM','THA','IDN','PHL','KOR'),\n", - " 'Latam':('MEX','BRA','ARG','PER','VEN','COL','CHL','PAN','CRI'),\n", - " 'Pair':('USA','CHN')\n", - " }\n", - "\n", - "all_countries = {}\n", - "for region in countries_by_region.keys():\n", - " for country in countries_by_region[region]:\n", - " all_countries[country] = region\n", - "\n", - "print(all_countries)" + "datau" ] }, { "cell_type": "code", - "execution_count": 140, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -5261,16 +5214,16 @@ " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", " Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)\n", " ...\n", - " Urban population living in areas where elevation is below 5 meters (% of total population)\n", - " Vulnerable employment, female (% of female employment) (modeled ILO estimate)\n", - " Vulnerable employment, male (% of male employment) (modeled ILO estimate)\n", - " Vulnerable employment, total (% of total employment) (modeled ILO estimate)\n", - " Wage and salaried workers, female (% of female employment) (modeled ILO estimate)\n", - " Wage and salaried workers, male (% of male employment) (modeled ILO estimate)\n", " Wage and salaried workers, total (% of total employment) (modeled ILO estimate)\n", " Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)\n", " Women Business and the Law Index Score (scale 1-100)\n", - " Continent\n", + " GDP (current US$)+1\n", + " GDP (current US$)+2\n", + " GDP (current US$)+3\n", + " GDP (current US$)+5\n", + " GDP (current US$)+8\n", + " GDP (current US$)+13\n", + " GDP (current US$)+21\n", " \n", " \n", " \n", @@ -5278,121 +5231,121 @@ " 352\n", " DEU\n", " 1990\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.00000\n", - " 1.00000\n", - " ...\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", + " 1.0\n", + " 1.000000\n", " 1.000000\n", + " ...\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", - " Europe\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", " 353\n", " DEU\n", " 1991\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.00000\n", - " 1.00000\n", - " ...\n", - " 0.999209\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", + " 1.0\n", " 1.000000\n", " 1.000000\n", + " ...\n", " 1.000000\n", - " Europe\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", " 354\n", " DEU\n", " 1992\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", " 1.0\n", - " 1.00000\n", - " 1.00000\n", + " 1.000000\n", + " 1.000000\n", " ...\n", - " 0.998418\n", - " 1.007018\n", - " 1.027083\n", - " 1.019342\n", - " 0.998479\n", - " 0.994164\n", " 0.996015\n", " 1.000000\n", " 1.000000\n", - " Europe\n", + " 1.054905\n", + " 1.000000\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", " 355\n", " DEU\n", " 1993\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", " 1.0\n", - " 1.00000\n", - " 1.00000\n", + " 1.000000\n", + " 1.000000\n", " ...\n", - " 0.997627\n", - " 1.026316\n", - " 1.050000\n", - " 1.040619\n", - " 0.995872\n", - " 0.990349\n", " 0.992693\n", " 1.027882\n", " 1.000000\n", - " Europe\n", + " 1.203142\n", + " 1.054905\n", + " 1.000000\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", " 356\n", " DEU\n", " 1994\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", " 1.0\n", - " 1.00000\n", - " 1.00000\n", + " 1.000000\n", + " 1.000000\n", " ...\n", - " 0.996836\n", - " 0.984210\n", - " 1.083333\n", - " 1.038685\n", - " 0.995437\n", - " 0.984626\n", " 0.989372\n", " 1.055765\n", " 1.000000\n", - " Europe\n", + " 1.169136\n", + " 1.203142\n", + " 1.054905\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", " ...\n", @@ -5422,125 +5375,125 @@ " 251\n", " CHN\n", " 2017\n", - " 0.732\n", - " 0.552\n", - " 0.862\n", - " 1.0\n", - " 1.0\n", + " 1.742857\n", + " 2.348936\n", + " 1.261156\n", + " 1.030696\n", + " 1.048707\n", " 1.0\n", - " 0.81755\n", - " 0.77367\n", - " ...\n", - " 1.386317\n", - " 8.163158\n", - " 8.947917\n", - " 8.613153\n", - " 0.569582\n", - " 0.607900\n", - " 0.591166\n", - " 0.391767\n", - " 1.061404\n", - " Pair\n", + " 1.257169\n", + " 1.272562\n", + " ...\n", + " 1.768798\n", + " 8.610987\n", + " 1.273684\n", + " 31.129362\n", + " 30.653486\n", + " 29.029938\n", + " 23.644292\n", + " 14.137706\n", + " 5.418606\n", + " 2.393592\n", " \n", " \n", " 252\n", " CHN\n", " 2018\n", - " 0.756\n", - " 0.590\n", - " 0.874\n", - " 1.0\n", - " 1.0\n", + " 1.800000\n", + " 2.510638\n", + " 1.278713\n", + " 1.030696\n", + " 1.048707\n", " 1.0\n", - " 0.81755\n", - " 0.77367\n", - " ...\n", - " 1.386317\n", - " 8.021053\n", - " 8.737500\n", - " 8.435203\n", - " 0.578055\n", - " 0.618786\n", - " 0.601018\n", - " 0.391767\n", - " 1.061404\n", - " Pair\n", + " 1.257169\n", + " 1.272562\n", + " ...\n", + " 1.798278\n", + " 8.610987\n", + " 1.273684\n", + " 34.114284\n", + " 31.129362\n", + " 30.653486\n", + " 26.521259\n", + " 16.868589\n", + " 6.334809\n", + " 2.664772\n", " \n", " \n", " 253\n", " CHN\n", " 2019\n", - " 0.776\n", - " 0.619\n", - " 0.884\n", - " 1.0\n", - " 1.0\n", + " 1.847619\n", + " 2.634043\n", + " 1.293343\n", + " 1.030696\n", + " 1.048707\n", " 1.0\n", - " 0.81755\n", - " 0.77367\n", + " 1.257169\n", + " 1.272562\n", " ...\n", - " 1.386317\n", - " 7.852632\n", - " 8.504167\n", - " 8.228240\n", - " 0.588267\n", - " 0.631579\n", - " 0.612643\n", - " 0.391767\n", - " 1.061404\n", - " Pair\n", + " 1.833057\n", + " 8.610987\n", + " 1.273684\n", + " 38.504955\n", + " 34.114284\n", + " 31.129362\n", + " 29.029938\n", + " 20.926519\n", + " 7.626636\n", + " 2.851657\n", " \n", " \n", " 254\n", " CHN\n", " 2020\n", - " 0.794\n", - " 0.652\n", - " 0.894\n", - " 1.0\n", - " 1.0\n", + " 1.890476\n", + " 2.774468\n", + " 1.307974\n", + " 1.030696\n", + " 1.048707\n", " 1.0\n", - " 0.81755\n", - " 0.77367\n", + " 1.257169\n", + " 1.272562\n", " ...\n", - " 1.386317\n", - " 7.852632\n", - " 8.504167\n", - " 8.228240\n", - " 0.588267\n", - " 0.631579\n", - " 0.612643\n", - " 0.391767\n", - " 1.061404\n", - " Pair\n", + " 1.833057\n", + " 8.610987\n", + " 1.273684\n", + " 39.572189\n", + " 38.504955\n", + " 34.114284\n", + " 30.653486\n", + " 23.644292\n", + " 9.838617\n", + " 3.031657\n", " \n", " \n", " 255\n", " CHN\n", " 2021\n", - " 0.794\n", - " 0.652\n", - " 0.894\n", - " 1.0\n", - " 1.0\n", + " 1.890476\n", + " 2.774468\n", + " 1.307974\n", + " 1.030696\n", + " 1.048707\n", " 1.0\n", - " 0.81755\n", - " 0.77367\n", + " 1.257169\n", + " 1.272562\n", " ...\n", - " 1.386317\n", - " 7.852632\n", - " 8.504167\n", - " 8.228240\n", - " 0.588267\n", - " 0.631579\n", - " 0.612643\n", - " 0.391767\n", - " 1.061404\n", - " Pair\n", + " 1.833057\n", + " 8.610987\n", + " 1.273684\n", + " 40.799246\n", + " 39.572189\n", + " 38.504955\n", + " 31.129362\n", + " 26.521259\n", + " 12.731623\n", + " 3.356853\n", " \n", " \n", "\n", - "

1536 rows × 1061 columns

\n", + "

1536 rows × 1067 columns

\n", "" ], "text/plain": [ @@ -5558,69 +5511,69 @@ "255 CHN 2021 \n", "\n", "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", - "352 1.000 \n", - "353 1.000 \n", - "354 1.000 \n", - "355 1.000 \n", - "356 1.000 \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", ".. ... \n", - "251 0.732 \n", - "252 0.756 \n", - "253 0.776 \n", - "254 0.794 \n", - "255 0.794 \n", + "251 1.742857 \n", + "252 1.800000 \n", + "253 1.847619 \n", + "254 1.890476 \n", + "255 1.890476 \n", "\n", "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", - "352 1.000 \n", - "353 1.000 \n", - "354 1.000 \n", - "355 1.000 \n", - "356 1.000 \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", ".. ... \n", - "251 0.552 \n", - "252 0.590 \n", - "253 0.619 \n", - "254 0.652 \n", - "255 0.652 \n", + "251 2.348936 \n", + "252 2.510638 \n", + "253 2.634043 \n", + "254 2.774468 \n", + "255 2.774468 \n", "\n", "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", - "352 1.000 \n", - "353 1.000 \n", - "354 1.000 \n", - "355 1.000 \n", - "356 1.000 \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", ".. ... \n", - "251 0.862 \n", - "252 0.874 \n", - "253 0.884 \n", - "254 0.894 \n", - "255 0.894 \n", + "251 1.261156 \n", + "252 1.278713 \n", + "253 1.293343 \n", + "254 1.307974 \n", + "255 1.307974 \n", "\n", "Indicator Access to electricity (% of population) \\\n", - "352 1.0 \n", - "353 1.0 \n", - "354 1.0 \n", - "355 1.0 \n", - "356 1.0 \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", ".. ... \n", - "251 1.0 \n", - "252 1.0 \n", - "253 1.0 \n", - "254 1.0 \n", - "255 1.0 \n", + "251 1.030696 \n", + "252 1.030696 \n", + "253 1.030696 \n", + "254 1.030696 \n", + "255 1.030696 \n", "\n", "Indicator Access to electricity, rural (% of rural population) \\\n", - "352 1.0 \n", - "353 1.0 \n", - "354 1.0 \n", - "355 1.0 \n", - "356 1.0 \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", ".. ... \n", - "251 1.0 \n", - "252 1.0 \n", - "253 1.0 \n", - "254 1.0 \n", - "255 1.0 \n", + "251 1.048707 \n", + "252 1.048707 \n", + "253 1.048707 \n", + "254 1.048707 \n", + "255 1.048707 \n", "\n", "Indicator Access to electricity, urban (% of urban population) \\\n", "352 1.0 \n", @@ -5636,30 +5589,30 @@ "255 1.0 \n", "\n", "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", - "352 1.00000 \n", - "353 1.00000 \n", - "354 1.00000 \n", - "355 1.00000 \n", - "356 1.00000 \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", ".. ... \n", - "251 0.81755 \n", - "252 0.81755 \n", - "253 0.81755 \n", - "254 0.81755 \n", - "255 0.81755 \n", + "251 1.257169 \n", + "252 1.257169 \n", + "253 1.257169 \n", + "254 1.257169 \n", + "255 1.257169 \n", "\n", "Indicator Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) \\\n", - "352 1.00000 \n", - "353 1.00000 \n", - "354 1.00000 \n", - "355 1.00000 \n", - "356 1.00000 \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", ".. ... \n", - "251 0.77367 \n", - "252 0.77367 \n", - "253 0.77367 \n", - "254 0.77367 \n", - "255 0.77367 \n", + "251 1.272562 \n", + "252 1.272562 \n", + "253 1.272562 \n", + "254 1.272562 \n", + "255 1.272562 \n", "\n", "Indicator ... \\\n", "352 ... \n", @@ -5674,84 +5627,6 @@ "254 ... \n", "255 ... \n", "\n", - "Indicator Urban population living in areas where elevation is below 5 meters (% of total population) \\\n", - "352 1.000000 \n", - "353 0.999209 \n", - "354 0.998418 \n", - "355 0.997627 \n", - "356 0.996836 \n", - ".. ... \n", - "251 1.386317 \n", - "252 1.386317 \n", - "253 1.386317 \n", - "254 1.386317 \n", - "255 1.386317 \n", - "\n", - "Indicator Vulnerable employment, female (% of female employment) (modeled ILO estimate) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.007018 \n", - "355 1.026316 \n", - "356 0.984210 \n", - ".. ... \n", - "251 8.163158 \n", - "252 8.021053 \n", - "253 7.852632 \n", - "254 7.852632 \n", - "255 7.852632 \n", - "\n", - "Indicator Vulnerable employment, male (% of male employment) (modeled ILO estimate) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.027083 \n", - "355 1.050000 \n", - "356 1.083333 \n", - ".. ... \n", - "251 8.947917 \n", - "252 8.737500 \n", - "253 8.504167 \n", - "254 8.504167 \n", - "255 8.504167 \n", - "\n", - "Indicator Vulnerable employment, total (% of total employment) (modeled ILO estimate) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.019342 \n", - "355 1.040619 \n", - "356 1.038685 \n", - ".. ... \n", - "251 8.613153 \n", - "252 8.435203 \n", - "253 8.228240 \n", - "254 8.228240 \n", - "255 8.228240 \n", - "\n", - "Indicator Wage and salaried workers, female (% of female employment) (modeled ILO estimate) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 0.998479 \n", - "355 0.995872 \n", - "356 0.995437 \n", - ".. ... \n", - "251 0.569582 \n", - "252 0.578055 \n", - "253 0.588267 \n", - "254 0.588267 \n", - "255 0.588267 \n", - "\n", - "Indicator Wage and salaried workers, male (% of male employment) (modeled ILO estimate) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 0.994164 \n", - "355 0.990349 \n", - "356 0.984626 \n", - ".. ... \n", - "251 0.607900 \n", - "252 0.618786 \n", - "253 0.631579 \n", - "254 0.631579 \n", - "255 0.631579 \n", - "\n", "Indicator Wage and salaried workers, total (% of total employment) (modeled ILO estimate) \\\n", "352 1.000000 \n", "353 1.000000 \n", @@ -5759,11 +5634,11 @@ "355 0.992693 \n", "356 0.989372 \n", ".. ... \n", - "251 0.591166 \n", - "252 0.601018 \n", - "253 0.612643 \n", - "254 0.612643 \n", - "255 0.612643 \n", + "251 1.768798 \n", + "252 1.798278 \n", + "253 1.833057 \n", + "254 1.833057 \n", + "255 1.833057 \n", "\n", "Indicator Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) \\\n", "352 1.000000 \n", @@ -5772,29 +5647,661 @@ "355 1.027882 \n", "356 1.055765 \n", ".. ... \n", - "251 0.391767 \n", - "252 0.391767 \n", - "253 0.391767 \n", - "254 0.391767 \n", - "255 0.391767 \n", - "\n", - "Indicator Women Business and the Law Index Score (scale 1-100) Continent \n", - "352 1.000000 Europe \n", - "353 1.000000 Europe \n", - "354 1.000000 Europe \n", - "355 1.000000 Europe \n", - "356 1.000000 Europe \n", - ".. ... ... \n", - "251 1.061404 Pair \n", - "252 1.061404 Pair \n", - "253 1.061404 Pair \n", - "254 1.061404 Pair \n", - "255 1.061404 Pair \n", - "\n", - "[1536 rows x 1061 columns]" + "251 8.610987 \n", + "252 8.610987 \n", + "253 8.610987 \n", + "254 8.610987 \n", + "255 8.610987 \n", + "\n", + "Indicator Women Business and the Law Index Score (scale 1-100) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.273684 \n", + "252 1.273684 \n", + "253 1.273684 \n", + "254 1.273684 \n", + "255 1.273684 \n", + "\n", + "Indicator GDP (current US$)+1 GDP (current US$)+2 GDP (current US$)+3 \\\n", + "352 NaN NaN NaN \n", + "353 1.000000 NaN NaN \n", + "354 1.054905 1.000000 NaN \n", + "355 1.203142 1.054905 1.000000 \n", + "356 1.169136 1.203142 1.054905 \n", + ".. ... ... ... \n", + "251 31.129362 30.653486 29.029938 \n", + "252 34.114284 31.129362 30.653486 \n", + "253 38.504955 34.114284 31.129362 \n", + "254 39.572189 38.504955 34.114284 \n", + "255 40.799246 39.572189 38.504955 \n", + "\n", + "Indicator GDP (current US$)+5 GDP (current US$)+8 GDP (current US$)+13 \\\n", + "352 NaN NaN NaN \n", + "353 NaN NaN NaN \n", + "354 NaN NaN NaN \n", + "355 NaN NaN NaN \n", + "356 NaN NaN NaN \n", + ".. ... ... ... \n", + "251 23.644292 14.137706 5.418606 \n", + "252 26.521259 16.868589 6.334809 \n", + "253 29.029938 20.926519 7.626636 \n", + "254 30.653486 23.644292 9.838617 \n", + "255 31.129362 26.521259 12.731623 \n", + "\n", + "Indicator GDP (current US$)+21 \n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 2.393592 \n", + "252 2.664772 \n", + "253 2.851657 \n", + "254 3.031657 \n", + "255 3.356853 \n", + "\n", + "[1536 rows x 1067 columns]" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "shifted=pd.DataFrame()\n", + "for i in range(0,len(country_list)):\n", + " dat=datau.loc[datau.loc[:, 'Country'] == country_list[i]]\n", + " dat['GDP (current US$)+1']=dat['GDP (current US$)'].shift(periods=1)\n", + " dat['GDP (current US$)+2']=dat['GDP (current US$)'].shift(periods=2)\n", + " dat['GDP (current US$)+3']=dat['GDP (current US$)'].shift(periods=3)\n", + " dat['GDP (current US$)+5']=dat['GDP (current US$)'].shift(periods=5)\n", + " dat['GDP (current US$)+8']=dat['GDP (current US$)'].shift(periods=8)\n", + " dat['GDP (current US$)+13']=dat['GDP (current US$)'].shift(periods=13)\n", + " dat['GDP (current US$)+21']=dat['GDP (current US$)'].shift(periods=21)\n", + " shifted=pd.concat((shifted, dat), axis = 0)\n", + "shifted" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "data=shifted" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For the next part of analyzing this data, we think it is gonna be interesting to have it classify by the categories of the Country groups defined before, to which we call \"Continent\". This category is useful as it groups the nations with similar economies or geographical proximity, so we can extract common conclusions from them." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We create a dictionary with the regions and the countries included in each one. Where we will relate the countries and regions so then we can apply the .map function and arrive to the final dataframe." + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'DEU': 'Europe', 'FRA': 'Europe', 'SWE': 'Europe', 'GBR': 'Europe', 'ESP': 'Europe', 'HRV': 'Europe', 'POL': 'Europe', 'GRC': 'Europe', 'AUT': 'Europe', 'NLD': 'Europe', 'IRQ': 'Persian Gulf', 'QAT': 'Persian Gulf', 'ARE': 'Persian Gulf', 'SAU': 'Persian Gulf', 'AZE': 'Persian Gulf', 'YEM': 'Persian Gulf', 'YDR': 'Persian Gulf', 'OMN': 'Persian Gulf', 'DZA': 'North Africa', 'EGY': 'North Africa', 'LBY': 'North Africa', 'ISR': 'North Africa', 'TUR': 'North Africa', 'MAR': 'North Africa', 'SEN': 'South Africa', 'ZAF': 'South Africa', 'LBR': 'South Africa', 'MOZ': 'South Africa', 'CMR': 'South Africa', 'NGA': 'South Africa', 'GHA': 'South Africa', 'BGD': 'Asia', 'IND': 'Asia', 'VNM': 'Asia', 'THA': 'Asia', 'IDN': 'Asia', 'PHL': 'Asia', 'KOR': 'Asia', 'MEX': 'Latam', 'BRA': 'Latam', 'ARG': 'Latam', 'PER': 'Latam', 'VEN': 'Latam', 'COL': 'Latam', 'CHL': 'Latam', 'PAN': 'Latam', 'CRI': 'Latam', 'USA': 'Pair', 'CHN': 'Pair'}\n" + ] + } + ], + "source": [ + "countries_by_region = {\n", + " \"Europe\": ('DEU','FRA','SWE','GBR','ESP','HRV','POL','GRC','AUT','NLD'),\n", + " 'Persian Gulf': ('IRQ','QAT','ARE','SAU','AZE','YEM','YDR','OMN'),\n", + " 'North Africa':('DZA','EGY','LBY','ISR','TUR','MAR'),\n", + " 'South Africa':('SEN','ZAF','LBR','MOZ','CMR','NGA','GHA'),\n", + " 'Asia':('BGD','IND','VNM','THA','IDN','PHL','KOR'),\n", + " 'Latam':('MEX','BRA','ARG','PER','VEN','COL','CHL','PAN','CRI'),\n", + " 'Pair':('USA','CHN')\n", + " }\n", + "\n", + "all_countries = {}\n", + "for region in countries_by_region.keys():\n", + " for country in countries_by_region[region]:\n", + " all_countries[country] = region\n", + "\n", + "print(all_countries)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorCountryYearAccess to clean fuels and technologies for cooking (% of population)Access to clean fuels and technologies for cooking, rural (% of rural population)Access to clean fuels and technologies for cooking, urban (% of urban population)Access to electricity (% of population)Access to electricity, rural (% of rural population)Access to electricity, urban (% of urban population)Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)...Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)Women Business and the Law Index Score (scale 1-100)GDP (current US$)+1GDP (current US$)+2GDP (current US$)+3GDP (current US$)+5GDP (current US$)+8GDP (current US$)+13GDP (current US$)+21Continent
352DEU19901.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...1.0000001.000000NaNNaNNaNNaNNaNNaNNaNEurope
353DEU19911.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...1.0000001.0000001.000000NaNNaNNaNNaNNaNNaNEurope
354DEU19921.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...1.0000001.0000001.0549051.000000NaNNaNNaNNaNNaNEurope
355DEU19931.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...1.0278821.0000001.2031421.0549051.000000NaNNaNNaNNaNEurope
356DEU19941.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...1.0557651.0000001.1691361.2031421.054905NaNNaNNaNNaNEurope
..................................................................
251CHN20171.7428572.3489361.2611561.0306961.0487071.01.2571691.272562...8.6109871.27368431.12936230.65348629.02993823.64429214.1377065.4186062.393592Pair
252CHN20181.8000002.5106381.2787131.0306961.0487071.01.2571691.272562...8.6109871.27368434.11428431.12936230.65348626.52125916.8685896.3348092.664772Pair
253CHN20191.8476192.6340431.2933431.0306961.0487071.01.2571691.272562...8.6109871.27368438.50495534.11428431.12936229.02993820.9265197.6266362.851657Pair
254CHN20201.8904762.7744681.3079741.0306961.0487071.01.2571691.272562...8.6109871.27368439.57218938.50495534.11428430.65348623.6442929.8386173.031657Pair
255CHN20211.8904762.7744681.3079741.0306961.0487071.01.2571691.272562...8.6109871.27368440.79924639.57218938.50495531.12936226.52125912.7316233.356853Pair
\n", + "

1536 rows × 1068 columns

\n", + "
" + ], + "text/plain": [ + "Indicator Country Year \\\n", + "352 DEU 1990 \n", + "353 DEU 1991 \n", + "354 DEU 1992 \n", + "355 DEU 1993 \n", + "356 DEU 1994 \n", + ".. ... ... \n", + "251 CHN 2017 \n", + "252 CHN 2018 \n", + "253 CHN 2019 \n", + "254 CHN 2020 \n", + "255 CHN 2021 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.742857 \n", + "252 1.800000 \n", + "253 1.847619 \n", + "254 1.890476 \n", + "255 1.890476 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 2.348936 \n", + "252 2.510638 \n", + "253 2.634043 \n", + "254 2.774468 \n", + "255 2.774468 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.261156 \n", + "252 1.278713 \n", + "253 1.293343 \n", + "254 1.307974 \n", + "255 1.307974 \n", + "\n", + "Indicator Access to electricity (% of population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.030696 \n", + "252 1.030696 \n", + "253 1.030696 \n", + "254 1.030696 \n", + "255 1.030696 \n", + "\n", + "Indicator Access to electricity, rural (% of rural population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.048707 \n", + "252 1.048707 \n", + "253 1.048707 \n", + "254 1.048707 \n", + "255 1.048707 \n", + "\n", + "Indicator Access to electricity, urban (% of urban population) \\\n", + "352 1.0 \n", + "353 1.0 \n", + "354 1.0 \n", + "355 1.0 \n", + "356 1.0 \n", + ".. ... \n", + "251 1.0 \n", + "252 1.0 \n", + "253 1.0 \n", + "254 1.0 \n", + "255 1.0 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.257169 \n", + "252 1.257169 \n", + "253 1.257169 \n", + "254 1.257169 \n", + "255 1.257169 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.272562 \n", + "252 1.272562 \n", + "253 1.272562 \n", + "254 1.272562 \n", + "255 1.272562 \n", + "\n", + "Indicator ... \\\n", + "352 ... \n", + "353 ... \n", + "354 ... \n", + "355 ... \n", + "356 ... \n", + ".. ... \n", + "251 ... \n", + "252 ... \n", + "253 ... \n", + "254 ... \n", + "255 ... \n", + "\n", + "Indicator Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.027882 \n", + "356 1.055765 \n", + ".. ... \n", + "251 8.610987 \n", + "252 8.610987 \n", + "253 8.610987 \n", + "254 8.610987 \n", + "255 8.610987 \n", + "\n", + "Indicator Women Business and the Law Index Score (scale 1-100) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.273684 \n", + "252 1.273684 \n", + "253 1.273684 \n", + "254 1.273684 \n", + "255 1.273684 \n", + "\n", + "Indicator GDP (current US$)+1 GDP (current US$)+2 GDP (current US$)+3 \\\n", + "352 NaN NaN NaN \n", + "353 1.000000 NaN NaN \n", + "354 1.054905 1.000000 NaN \n", + "355 1.203142 1.054905 1.000000 \n", + "356 1.169136 1.203142 1.054905 \n", + ".. ... ... ... \n", + "251 31.129362 30.653486 29.029938 \n", + "252 34.114284 31.129362 30.653486 \n", + "253 38.504955 34.114284 31.129362 \n", + "254 39.572189 38.504955 34.114284 \n", + "255 40.799246 39.572189 38.504955 \n", + "\n", + "Indicator GDP (current US$)+5 GDP (current US$)+8 GDP (current US$)+13 \\\n", + "352 NaN NaN NaN \n", + "353 NaN NaN NaN \n", + "354 NaN NaN NaN \n", + "355 NaN NaN NaN \n", + "356 NaN NaN NaN \n", + ".. ... ... ... \n", + "251 23.644292 14.137706 5.418606 \n", + "252 26.521259 16.868589 6.334809 \n", + "253 29.029938 20.926519 7.626636 \n", + "254 30.653486 23.644292 9.838617 \n", + "255 31.129362 26.521259 12.731623 \n", + "\n", + "Indicator GDP (current US$)+21 Continent \n", + "352 NaN Europe \n", + "353 NaN Europe \n", + "354 NaN Europe \n", + "355 NaN Europe \n", + "356 NaN Europe \n", + ".. ... ... \n", + "251 2.393592 Pair \n", + "252 2.664772 Pair \n", + "253 2.851657 Pair \n", + "254 3.031657 Pair \n", + "255 3.356853 Pair \n", + "\n", + "[1536 rows x 1068 columns]" ] }, - "execution_count": 140, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } From ce892956a04f7eba7d71583f857fdf1c3db93ad6 Mon Sep 17 00:00:00 2001 From: masanchis <107245623+masanchis@users.noreply.github.com> Date: Tue, 26 Jul 2022 11:17:38 +0200 Subject: [PATCH 14/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 00fe452..a7aa605 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -1935,7 +1935,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "From the data above, we can perceive that our data comes down from 19944 rows to 19424, so 500 were outliers. The next steps are to order and display data better, removing those columns that we just do not need and pivoting the rows and columns. " + "From the data above, we can perceive that our data comes down from 1225418 rows to 1189068, so 36.350 were outliers. The next steps are to order and display data better, removing those columns that we just do not need and pivoting the rows and columns. " ] }, { @@ -2982,7 +2982,6 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Moreover, we are also going to scale all the values between the max and min of each country for each variable." ] }, { From b310703f89d993d2b0c8d227f58a071b89c1e6cd Mon Sep 17 00:00:00 2001 From: masanchis <107245623+masanchis@users.noreply.github.com> Date: Tue, 26 Jul 2022 11:53:26 +0200 Subject: [PATCH 15/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index a7aa605..7b3f4c6 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -4566,7 +4566,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "As a result we have dropped the *Gender equality* and *Mortality-pollution* variables." + "As a result we drop some variables" + "Afterwards, we have scaled the values. The process we have followed consists of dividing each value by the initial value (1990) of each variable. Each result is expressed as the growth with respect to the initial data." ] }, { From 1c22ae6df15404a2ff1a9590aaf300691430bc6d Mon Sep 17 00:00:00 2001 From: msanchis Date: Tue, 26 Jul 2022 11:56:31 +0200 Subject: [PATCH 16/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 7b3f4c6..cfda35c 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -4566,8 +4566,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "As a result we drop some variables" - "Afterwards, we have scaled the values. The process we have followed consists of dividing each value by the initial value (1990) of each variable. Each result is expressed as the growth with respect to the initial data." + "As a result we drop some variables. Afterwards, we have scaled the values. The process we have followed consists of dividing each value by the initial value (1990) of each variable. Each result is expressed as the growth with respect to the initial data." ] }, { From cba6f211fd0c97051ed4d72f31ed1cf577b19969 Mon Sep 17 00:00:00 2001 From: masanchis <107245623+masanchis@users.noreply.github.com> Date: Tue, 26 Jul 2022 12:00:28 +0200 Subject: [PATCH 17/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index cfda35c..3c3243b 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -4566,7 +4566,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "As a result we drop some variables. Afterwards, we have scaled the values. The process we have followed consists of dividing each value by the initial value (1990) of each variable. Each result is expressed as the growth with respect to the initial data." + "Afterwards, we have scaled the values. The process we have followed consists of dividing each value by the initial value (1990) of each variable. Each result is expressed as the growth with respect to the initial data." ] }, { From e7e0adb5963112cad0b226981eed3e27fe50a552 Mon Sep 17 00:00:00 2001 From: msanchis Date: Tue, 26 Jul 2022 12:13:05 +0200 Subject: [PATCH 18/86] U --- WDI-Complete code.ipynb | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 3c3243b..7766081 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -2981,8 +2981,7 @@ { "cell_type": "markdown", "metadata": {}, - "source": [ - ] + "source": [] }, { "cell_type": "code", From b76627b84211bfe8a94f19e0957a09e879e52e2c Mon Sep 17 00:00:00 2001 From: masanchis <107245623+masanchis@users.noreply.github.com> Date: Tue, 26 Jul 2022 12:28:31 +0200 Subject: [PATCH 19/86] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 73a8811..4ac68a9 100644 --- a/README.md +++ b/README.md @@ -48,6 +48,8 @@ Therefore it is being utilized to get rid of all the outliers that may come from 2- **Substitution of the NaN values**. The developed Nan values´ treatment has been a mix, between the linear interpolation and backwards filling. The linear interpolation is a form of interpolation, which involves the generation of new values based on an existing set of values. Linear interpolation is achieved by geometrically rendering a straight line between two adjacent points on a graph or plane. On the other side, the backwards filling will help us to arrive to those values which have not been fullfilled with the linear interpolation. +3- **Escalation method**. The escalation process has been done dividing each value by the initial one of an indicator (value in 1990). Considering the start point as 1 (initial value divided by itself), each result will show the growth respect to the initial data. + # Run the application ## Dependencies Dependecies are automatically managed by Poetry and there is NO need to use external dockers for running spark. From ecf5003b4afd5c26b659685938c2d8f2699769df Mon Sep 17 00:00:00 2001 From: masanchis <107245623+masanchis@users.noreply.github.com> Date: Tue, 26 Jul 2022 12:29:08 +0200 Subject: [PATCH 20/86] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4ac68a9..30f59c3 100644 --- a/README.md +++ b/README.md @@ -48,7 +48,7 @@ Therefore it is being utilized to get rid of all the outliers that may come from 2- **Substitution of the NaN values**. The developed Nan values´ treatment has been a mix, between the linear interpolation and backwards filling. The linear interpolation is a form of interpolation, which involves the generation of new values based on an existing set of values. Linear interpolation is achieved by geometrically rendering a straight line between two adjacent points on a graph or plane. On the other side, the backwards filling will help us to arrive to those values which have not been fullfilled with the linear interpolation. -3- **Escalation method**. The escalation process has been done dividing each value by the initial one of an indicator (value in 1990). Considering the start point as 1 (initial value divided by itself), each result will show the growth respect to the initial data. +3- **Scaling method**. The escalation process has been done dividing each value by the initial one of an indicator (value in 1990). Considering the start point as 1 (initial value divided by itself), each result will show the growth respect to the initial data. # Run the application ## Dependencies From 5606f577e029362ba4b4c47e3e95ea61965c2046 Mon Sep 17 00:00:00 2001 From: masanchis <107245623+masanchis@users.noreply.github.com> Date: Tue, 26 Jul 2022 12:35:23 +0200 Subject: [PATCH 21/86] Update README.md --- README.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 30f59c3..845dac5 100644 --- a/README.md +++ b/README.md @@ -50,6 +50,8 @@ Therefore it is being utilized to get rid of all the outliers that may come from 3- **Scaling method**. The escalation process has been done dividing each value by the initial one of an indicator (value in 1990). Considering the start point as 1 (initial value divided by itself), each result will show the growth respect to the initial data. +4- **Removing inidcators**. Those inidcators which have missed 20% of its total values have been removed because a lack of data shows unreliable results. + # Run the application ## Dependencies Dependecies are automatically managed by Poetry and there is NO need to use external dockers for running spark. @@ -88,11 +90,8 @@ To start the execution of our code, you can directly run the notebooks on Visual - The Net Migration indicator measures the difference between the number of immigrants and emigrants, so the number of people entering the country minus the number of people leaving it. As the difference is measured, it is necessary to see the original data to draw the conclusions correctly. Taking into account whether this net value is positive or negative and extract conclusions according the type of correlation. - Something similar occurs with the indicator Direct Foreign Investment. This one shows us the difference between outflows and inflows, so, if countries invest outside more or less than which is invested in them. Again we should see which are the net values to extract conclusions correctly. - -- After treating the data, we realized that the indicators: Mortality Pollution and Gender Equality do not present sufficient data for analysis. Therefore, they have been eliminated. No conclusions will be drawn between this indicator and the countries. - ## Repository setup The code is divided in several notebooks that need to be excuted following the corresponding order, which coincides with the one described above in the main steps section. From 75b788dfbd81e9ec5901cad7164b25af0929d9ec Mon Sep 17 00:00:00 2001 From: masanchis <107245623+masanchis@users.noreply.github.com> Date: Tue, 26 Jul 2022 12:37:45 +0200 Subject: [PATCH 22/86] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 845dac5..271e8a2 100644 --- a/README.md +++ b/README.md @@ -50,7 +50,7 @@ Therefore it is being utilized to get rid of all the outliers that may come from 3- **Scaling method**. The escalation process has been done dividing each value by the initial one of an indicator (value in 1990). Considering the start point as 1 (initial value divided by itself), each result will show the growth respect to the initial data. -4- **Removing inidcators**. Those inidcators which have missed 20% of its total values have been removed because a lack of data shows unreliable results. +4- **Removing inidcators**. Those indicators which have 20% of missing values of its total have been removed because a lack of data shows unreliable results. # Run the application ## Dependencies From e08b9aeb7966c657305ea2e24c477ac0d86e34f3 Mon Sep 17 00:00:00 2001 From: masanchis <107245623+masanchis@users.noreply.github.com> Date: Tue, 26 Jul 2022 12:38:54 +0200 Subject: [PATCH 23/86] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 271e8a2..939e86c 100644 --- a/README.md +++ b/README.md @@ -50,7 +50,7 @@ Therefore it is being utilized to get rid of all the outliers that may come from 3- **Scaling method**. The escalation process has been done dividing each value by the initial one of an indicator (value in 1990). Considering the start point as 1 (initial value divided by itself), each result will show the growth respect to the initial data. -4- **Removing inidcators**. Those indicators which have 20% of missing values of its total have been removed because a lack of data shows unreliable results. +4- **Removing indicators**. Those indicators which have 20% of missing values of its total have been removed because a lack of data shows unreliable results. # Run the application ## Dependencies From 764d746c57402e272cdcf27d77e04f1ba64c4f2d Mon Sep 17 00:00:00 2001 From: Mferna38 Date: Tue, 26 Jul 2022 12:39:12 +0200 Subject: [PATCH 24/86] Categ included --- WDI-Complete code.ipynb | 3245 +++++++++++++++++++++------------------ 1 file changed, 1743 insertions(+), 1502 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 7766081..afb0ee5 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -953,7 +953,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -2978,11 +2978,6 @@ "Therefore, the preferred method for the Nan values´ treatment that we are going to develop is a mix, between the linear interpolation and backwards filling. The linear interpolation a form of interpolation, which involves the generation of new values based on an existing set of values. Linear interpolation is achieved by geometrically rendering a straight line between two adjacent points on a graph or plane. Whereas the backwards filling, will help us to arrive to those values which have not been fullfilled with the linear interpolation." ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - }, { "cell_type": "code", "execution_count": 30, @@ -6319,7 +6314,7 @@ }, { "cell_type": "code", - "execution_count": 141, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -6328,7 +6323,7 @@ }, { "cell_type": "code", - "execution_count": 142, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -6345,7 +6340,7 @@ }, { "cell_type": "code", - "execution_count": 143, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -6356,7 +6351,7 @@ }, { "cell_type": "code", - "execution_count": 144, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -6383,8 +6378,9 @@ " Country\n", " Year\n", " Continent\n", - " Indicator Name\n", + " Indicator\n", " 0\n", + " Short indicator\n", " \n", " \n", " \n", @@ -6395,6 +6391,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " \n", " \n", " 1\n", @@ -6403,6 +6400,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " \n", " \n", " 2\n", @@ -6411,6 +6409,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " \n", " \n", " 3\n", @@ -6419,6 +6418,7 @@ " Europe\n", " Access to electricity (% of population)\n", " 1.000000\n", + " Access to electricity (% of population)\n", " \n", " \n", " 4\n", @@ -6427,6 +6427,7 @@ " Europe\n", " Access to electricity, rural (% of rural popul...\n", " 1.000000\n", + " Access to electricity, rural (% of rural popul...\n", " \n", " \n", " ...\n", @@ -6435,50 +6436,56 @@ " ...\n", " ...\n", " ...\n", + " ...\n", " \n", " \n", - " 1511898\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, female (% of female...\n", - " 0.588267\n", + " GDP (current US$)+3\n", + " 38.504955\n", + " GDP (current US$)+3\n", " \n", " \n", - " 1511899\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, male (% of male emp...\n", - " 0.631579\n", + " GDP (current US$)+5\n", + " 31.129362\n", + " GDP (current US$)+5\n", " \n", " \n", - " 1511900\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, total (% of total e...\n", - " 0.612643\n", + " GDP (current US$)+8\n", + " 26.521259\n", + " GDP (current US$)+8\n", " \n", " \n", - " 1511901\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", - " Water productivity, total (constant 2015 US$ G...\n", - " 0.391767\n", + " GDP (current US$)+13\n", + " 12.731623\n", + " GDP (current US$)+13\n", " \n", " \n", - " 1511902\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", - " Women Business and the Law Index Score (scale ...\n", - " 1.061404\n", + " GDP (current US$)+21\n", + " 3.356853\n", + " GDP (current US$)+21\n", " \n", " \n", "\n", - "

1511903 rows × 5 columns

\n", + "

1540363 rows × 6 columns

\n", "" ], "text/plain": [ @@ -6489,42 +6496,55 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1511898 CHN 2021 Pair \n", - "1511899 CHN 2021 Pair \n", - "1511900 CHN 2021 Pair \n", - "1511901 CHN 2021 Pair \n", - "1511902 CHN 2021 Pair \n", - "\n", - " Indicator Name 0 \n", - "0 Access to clean fuels and technologies for coo... 1.000000 \n", - "1 Access to clean fuels and technologies for coo... 1.000000 \n", - "2 Access to clean fuels and technologies for coo... 1.000000 \n", - "3 Access to electricity (% of population) 1.000000 \n", - "4 Access to electricity, rural (% of rural popul... 1.000000 \n", - "... ... ... \n", - "1511898 Wage and salaried workers, female (% of female... 0.588267 \n", - "1511899 Wage and salaried workers, male (% of male emp... 0.631579 \n", - "1511900 Wage and salaried workers, total (% of total e... 0.612643 \n", - "1511901 Water productivity, total (constant 2015 US$ G... 0.391767 \n", - "1511902 Women Business and the Law Index Score (scale ... 1.061404 \n", - "\n", - "[1511903 rows x 5 columns]" + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity (% of population) \n", + "4 Access to electricity, rural (% of rural popul... \n", + "... ... \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", + "\n", + "[1540363 rows x 6 columns]" ] }, - "execution_count": 144, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Categorization=Goldendataframe.set_index(['Country','Year', 'Continent']).stack().reset_index()\n", - "Categorization.rename(columns={'Indicator':'Indicator Name','0':'Value'},inplace=True)\n", + "Categorization['Short indicator']=Categorization['Indicator']\n", "Categorization" ] }, { "cell_type": "code", - "execution_count": 145, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -6551,8 +6571,9 @@ " Country\n", " Year\n", " Continent\n", - " Indicator Name\n", + " Indicator\n", " 0\n", + " Short indicator\n", " \n", " \n", " \n", @@ -6563,6 +6584,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " \n", " \n", " 1\n", @@ -6571,6 +6593,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " \n", " \n", " 2\n", @@ -6579,6 +6602,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " \n", " \n", " 3\n", @@ -6587,6 +6611,7 @@ " Europe\n", " Access to electricity (% of population)\n", " 1.000000\n", + " Access to electricity (% of population)\n", " \n", " \n", " 4\n", @@ -6595,6 +6620,7 @@ " Europe\n", " Access to electricity, rural (% of rural popul...\n", " 1.000000\n", + " Access to electricity, rural (% of rural popul...\n", " \n", " \n", " ...\n", @@ -6603,50 +6629,56 @@ " ...\n", " ...\n", " ...\n", + " ...\n", " \n", " \n", - " 1511898\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, female (% of female...\n", - " 0.588267\n", + " GDP (current US$)+3\n", + " 38.504955\n", + " GDP (current US$)+3\n", " \n", " \n", - " 1511899\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, male (% of male emp...\n", - " 0.631579\n", + " GDP (current US$)+5\n", + " 31.129362\n", + " GDP (current US$)+5\n", " \n", " \n", - " 1511900\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, total (% of total e...\n", - " 0.612643\n", + " GDP (current US$)+8\n", + " 26.521259\n", + " GDP (current US$)+8\n", " \n", " \n", - " 1511901\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", - " Water productivity, total (constant 2015 US$ G...\n", - " 0.391767\n", + " GDP (current US$)+13\n", + " 12.731623\n", + " GDP (current US$)+13\n", " \n", " \n", - " 1511902\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", - " Women Business and the Law Index Score (scale ...\n", - " 1.061404\n", + " GDP (current US$)+21\n", + " 3.356853\n", + " GDP (current US$)+21\n", " \n", " \n", "\n", - "

1379204 rows × 5 columns

\n", + "

1372098 rows × 6 columns

\n", "" ], "text/plain": [ @@ -6657,52 +6689,69 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1511898 CHN 2021 Pair \n", - "1511899 CHN 2021 Pair \n", - "1511900 CHN 2021 Pair \n", - "1511901 CHN 2021 Pair \n", - "1511902 CHN 2021 Pair \n", - "\n", - " Indicator Name 0 \n", - "0 Access to clean fuels and technologies for coo... 1.000000 \n", - "1 Access to clean fuels and technologies for coo... 1.000000 \n", - "2 Access to clean fuels and technologies for coo... 1.000000 \n", - "3 Access to electricity (% of population) 1.000000 \n", - "4 Access to electricity, rural (% of rural popul... 1.000000 \n", - "... ... ... \n", - "1511898 Wage and salaried workers, female (% of female... 0.588267 \n", - "1511899 Wage and salaried workers, male (% of male emp... 0.631579 \n", - "1511900 Wage and salaried workers, total (% of total e... 0.612643 \n", - "1511901 Water productivity, total (constant 2015 US$ G... 0.391767 \n", - "1511902 Women Business and the Law Index Score (scale ... 1.061404 \n", - "\n", - "[1379204 rows x 5 columns]" + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity (% of population) \n", + "4 Access to electricity, rural (% of rural popul... \n", + "... ... \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", + "\n", + "[1372098 rows x 6 columns]" ] }, - "execution_count": 145, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#For indicators with many units, just keeping the US$.\n", - "discard=[\"annual % growth\",\"constant 2015 US$\",\"% of GNI\",\"constant LCU\",\"current LCU\"]\n", - "Categorization[~Categorization['Indicator Name'].str.contains('|'.join(discard))]" + "# https://www.geeksforgeeks.org/how-to-drop-rows-that-contain-a-specific-string-in-pandas/\n", + "# https://www.statology.org/pandas-drop-rows-that-contain-string/ \n", + "import re\n", + "discard=[\"annual % growth\",\"constant 2015 US[$]\",\"% of GNI\",\"constant LCU\",\"current LCU\"]\n", + "Categorization2=Categorization[~Categorization['Short indicator'].str.contains('|'.join(discard))]\n", + "Categorization2" ] }, { "cell_type": "code", - "execution_count": 146, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "#To check previous step:\n", - "#BronzeDataFrame.apply(lambda row: row.astype(str).str.contains('LCU').any(), axis=1)" + "#Categorization2.apply(lambda row: row.astype(str).str.contains('US').any(), axis=1)" ] }, { "cell_type": "code", - "execution_count": 147, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -6729,8 +6778,9 @@ " Country\n", " Year\n", " Continent\n", - " Indicator Name\n", + " Indicator\n", " 0\n", + " Short indicator\n", " Units\n", " \n", " \n", @@ -6742,6 +6792,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of population)\n", " \n", " \n", @@ -6751,6 +6802,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of rural population)\n", " \n", " \n", @@ -6760,6 +6812,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of urban population)\n", " \n", " \n", @@ -6769,6 +6822,7 @@ " Europe\n", " Access to electricity (% of population)\n", " 1.000000\n", + " Access to electricity (% of population)\n", " (% of population)\n", " \n", " \n", @@ -6778,6 +6832,7 @@ " Europe\n", " Access to electricity, rural (% of rural popul...\n", " 1.000000\n", + " Access to electricity, rural (% of rural popul...\n", " (% of rural population)\n", " \n", " \n", @@ -6788,55 +6843,61 @@ " ...\n", " ...\n", " ...\n", + " ...\n", " \n", " \n", - " 1511898\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, female (% of female...\n", - " 0.588267\n", - " (% of female employment) (modeled ILO estimate)\n", + " GDP (current US$)+3\n", + " 38.504955\n", + " GDP (current US$)+3\n", + " (current US$)\n", " \n", " \n", - " 1511899\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, male (% of male emp...\n", - " 0.631579\n", - " (% of male employment) (modeled ILO estimate)\n", + " GDP (current US$)+5\n", + " 31.129362\n", + " GDP (current US$)+5\n", + " (current US$)\n", " \n", " \n", - " 1511900\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, total (% of total e...\n", - " 0.612643\n", - " (% of total employment) (modeled ILO estimate)\n", + " GDP (current US$)+8\n", + " 26.521259\n", + " GDP (current US$)+8\n", + " (current US$)\n", " \n", " \n", - " 1511901\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", - " Water productivity, total (constant 2015 US$ G...\n", - " 0.391767\n", - " (constant 2015 US$ GDP per cubic meter of tota...\n", + " GDP (current US$)+13\n", + " 12.731623\n", + " GDP (current US$)+13\n", + " (current US$)\n", " \n", " \n", - " 1511902\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", - " Women Business and the Law Index Score (scale ...\n", - " 1.061404\n", - " (scale 1-100)\n", + " GDP (current US$)+21\n", + " 3.356853\n", + " GDP (current US$)+21\n", + " (current US$)\n", " \n", " \n", "\n", - "

1511903 rows × 6 columns

\n", + "

1372098 rows × 7 columns

\n", "" ], "text/plain": [ @@ -6847,55 +6908,68 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1511898 CHN 2021 Pair \n", - "1511899 CHN 2021 Pair \n", - "1511900 CHN 2021 Pair \n", - "1511901 CHN 2021 Pair \n", - "1511902 CHN 2021 Pair \n", - "\n", - " Indicator Name 0 \\\n", - "0 Access to clean fuels and technologies for coo... 1.000000 \n", - "1 Access to clean fuels and technologies for coo... 1.000000 \n", - "2 Access to clean fuels and technologies for coo... 1.000000 \n", - "3 Access to electricity (% of population) 1.000000 \n", - "4 Access to electricity, rural (% of rural popul... 1.000000 \n", - "... ... ... \n", - "1511898 Wage and salaried workers, female (% of female... 0.588267 \n", - "1511899 Wage and salaried workers, male (% of male emp... 0.631579 \n", - "1511900 Wage and salaried workers, total (% of total e... 0.612643 \n", - "1511901 Water productivity, total (constant 2015 US$ G... 0.391767 \n", - "1511902 Women Business and the Law Index Score (scale ... 1.061404 \n", - "\n", - " Units \n", - "0 (% of population) \n", - "1 (% of rural population) \n", - "2 (% of urban population) \n", - "3 (% of population) \n", - "4 (% of rural population) \n", - "... ... \n", - "1511898 (% of female employment) (modeled ILO estimate) \n", - "1511899 (% of male employment) (modeled ILO estimate) \n", - "1511900 (% of total employment) (modeled ILO estimate) \n", - "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", - "1511902 (scale 1-100) \n", - "\n", - "[1511903 rows x 6 columns]" + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity (% of population) \n", + "4 Access to electricity, rural (% of rural popul... \n", + "... ... \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", + "\n", + " Units \n", + "0 (% of population) \n", + "1 (% of rural population) \n", + "2 (% of urban population) \n", + "3 (% of population) \n", + "4 (% of rural population) \n", + "... ... \n", + "1540358 (current US$) \n", + "1540359 (current US$) \n", + "1540360 (current US$) \n", + "1540361 (current US$) \n", + "1540362 (current US$) \n", + "\n", + "[1372098 rows x 7 columns]" ] }, - "execution_count": 147, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Make a new column with the units, that correspond to the string inside the first parenthesis of the indicator name column.\n", - "Categorization['Units']=Categorization['Indicator Name'].str.extract('(\\(.*\\))')\n", - "Categorization" + "#Make a new column with the units, that correspond to the string inside the parenthesis of the indicator column.\n", + "Categorization2['Units']=Categorization2['Short indicator'].str.extract(' (\\(.*\\))')\n", + "Categorization2" ] }, { "cell_type": "code", - "execution_count": 148, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -6922,8 +6996,9 @@ " Country\n", " Year\n", " Continent\n", - " Indicator Name\n", + " Indicator\n", " 0\n", + " Short indicator\n", " Units\n", " \n", " \n", @@ -6935,6 +7010,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of population)\n", " \n", " \n", @@ -6944,6 +7020,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of rural population)\n", " \n", " \n", @@ -6953,6 +7030,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of urban population)\n", " \n", " \n", @@ -6960,8 +7038,9 @@ " DEU\n", " 1990\n", " Europe\n", - " Access to electricity\n", + " Access to electricity (% of population)\n", " 1.000000\n", + " Access to electricity\n", " (% of population)\n", " \n", " \n", @@ -6969,8 +7048,9 @@ " DEU\n", " 1990\n", " Europe\n", - " Access to electricity, rural\n", + " Access to electricity, rural (% of rural popul...\n", " 1.000000\n", + " Access to electricity, rural\n", " (% of rural population)\n", " \n", " \n", @@ -6981,55 +7061,61 @@ " ...\n", " ...\n", " ...\n", + " ...\n", " \n", " \n", - " 1511898\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, female\n", - " 0.588267\n", - " (% of female employment) (modeled ILO estimate)\n", + " GDP (current US$)+3\n", + " 38.504955\n", + " GDP+3\n", + " (current US$)\n", " \n", " \n", - " 1511899\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, male\n", - " 0.631579\n", - " (% of male employment) (modeled ILO estimate)\n", + " GDP (current US$)+5\n", + " 31.129362\n", + " GDP+5\n", + " (current US$)\n", " \n", " \n", - " 1511900\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, total\n", - " 0.612643\n", - " (% of total employment) (modeled ILO estimate)\n", + " GDP (current US$)+8\n", + " 26.521259\n", + " GDP+8\n", + " (current US$)\n", " \n", " \n", - " 1511901\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", - " Water productivity, total\n", - " 0.391767\n", - " (constant 2015 US$ GDP per cubic meter of tota...\n", + " GDP (current US$)+13\n", + " 12.731623\n", + " GDP+13\n", + " (current US$)\n", " \n", " \n", - " 1511902\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", - " Women Business and the Law Index Score\n", - " 1.061404\n", - " (scale 1-100)\n", + " GDP (current US$)+21\n", + " 3.356853\n", + " GDP+21\n", + " (current US$)\n", " \n", " \n", "\n", - "

1511903 rows × 6 columns

\n", + "

1372098 rows × 7 columns

\n", "" ], "text/plain": [ @@ -7040,55 +7126,68 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1511898 CHN 2021 Pair \n", - "1511899 CHN 2021 Pair \n", - "1511900 CHN 2021 Pair \n", - "1511901 CHN 2021 Pair \n", - "1511902 CHN 2021 Pair \n", - "\n", - " Indicator Name 0 \\\n", - "0 Access to clean fuels and technologies for coo... 1.000000 \n", - "1 Access to clean fuels and technologies for coo... 1.000000 \n", - "2 Access to clean fuels and technologies for coo... 1.000000 \n", - "3 Access to electricity 1.000000 \n", - "4 Access to electricity, rural 1.000000 \n", - "... ... ... \n", - "1511898 Wage and salaried workers, female 0.588267 \n", - "1511899 Wage and salaried workers, male 0.631579 \n", - "1511900 Wage and salaried workers, total 0.612643 \n", - "1511901 Water productivity, total 0.391767 \n", - "1511902 Women Business and the Law Index Score 1.061404 \n", - "\n", - " Units \n", - "0 (% of population) \n", - "1 (% of rural population) \n", - "2 (% of urban population) \n", - "3 (% of population) \n", - "4 (% of rural population) \n", - "... ... \n", - "1511898 (% of female employment) (modeled ILO estimate) \n", - "1511899 (% of male employment) (modeled ILO estimate) \n", - "1511900 (% of total employment) (modeled ILO estimate) \n", - "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", - "1511902 (scale 1-100) \n", - "\n", - "[1511903 rows x 6 columns]" + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity \n", + "4 Access to electricity, rural \n", + "... ... \n", + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", + "\n", + " Units \n", + "0 (% of population) \n", + "1 (% of rural population) \n", + "2 (% of urban population) \n", + "3 (% of population) \n", + "4 (% of rural population) \n", + "... ... \n", + "1540358 (current US$) \n", + "1540359 (current US$) \n", + "1540360 (current US$) \n", + "1540361 (current US$) \n", + "1540362 (current US$) \n", + "\n", + "[1372098 rows x 7 columns]" ] }, - "execution_count": 148, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Delete the extracted information from origin column. \n", - "Categorization['Indicator Name']=Categorization['Indicator Name'].str.replace(r\"\\(.*\\)\",\"\")\n", - "Categorization" + "Categorization2['Short indicator']=Categorization2['Short indicator'].str.replace(r\" (\\(.*\\))\",\"\")\n", + "Categorization2" ] }, { "cell_type": "code", - "execution_count": 149, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -7115,8 +7214,9 @@ " Country\n", " Year\n", " Continent\n", - " Indicator Name\n", + " Indicator\n", " 0\n", + " Short indicator\n", " Units\n", " \n", " \n", @@ -7126,8 +7226,9 @@ " DEU\n", " 1990\n", " Europe\n", - " Contributing family workers, female\n", + " Contributing family workers, female (% of fema...\n", " 1.000000\n", + " Contributing family workers, female\n", " (% of female employment) (modeled ILO estimate)\n", " \n", " \n", @@ -7135,8 +7236,9 @@ " DEU\n", " 1990\n", " Europe\n", - " Contributing family workers, male\n", + " Contributing family workers, male (% of male e...\n", " 1.000000\n", + " Contributing family workers, male\n", " (% of male employment) (modeled ILO estimate)\n", " \n", " \n", @@ -7144,8 +7246,9 @@ " DEU\n", " 1990\n", " Europe\n", - " Contributing family workers, total\n", + " Contributing family workers, total (% of total...\n", " 1.000000\n", + " Contributing family workers, total\n", " (% of total employment) (modeled ILO estimate)\n", " \n", " \n", @@ -7153,8 +7256,9 @@ " DEU\n", " 1991\n", " Europe\n", - " Contributing family workers, female\n", + " Contributing family workers, female (% of fema...\n", " 1.000000\n", + " Contributing family workers, female\n", " (% of female employment) (modeled ILO estimate)\n", " \n", " \n", @@ -7162,8 +7266,9 @@ " DEU\n", " 1991\n", " Europe\n", - " Contributing family workers, male\n", + " Contributing family workers, male (% of male e...\n", " 1.000000\n", + " Contributing family workers, male\n", " (% of male employment) (modeled ILO estimate)\n", " \n", " \n", @@ -7174,101 +7279,133 @@ " ...\n", " ...\n", " ...\n", + " ...\n", " \n", " \n", - " 1510141\n", + " 1538535\n", " CHN\n", " 2020\n", " Pair\n", + " Contributing family workers, male (% of male e...\n", + " 0.252894\n", " Contributing family workers, male\n", - " 14.564103\n", " (% of male employment) (modeled ILO estimate)\n", " \n", " \n", - " 1510142\n", + " 1538536\n", " CHN\n", " 2020\n", " Pair\n", + " Contributing family workers, total (% of total...\n", + " 0.329385\n", " Contributing family workers, total\n", - " 7.096551\n", " (% of total employment) (modeled ILO estimate)\n", " \n", " \n", - " 1511094\n", + " 1539524\n", " CHN\n", " 2021\n", " Pair\n", + " Contributing family workers, female (% of fema...\n", + " 0.386565\n", " Contributing family workers, female\n", - " 5.481356\n", " (% of female employment) (modeled ILO estimate)\n", " \n", " \n", - " 1511095\n", + " 1539525\n", " CHN\n", " 2021\n", " Pair\n", + " Contributing family workers, male (% of male e...\n", + " 0.252894\n", " Contributing family workers, male\n", - " 14.564103\n", " (% of male employment) (modeled ILO estimate)\n", " \n", " \n", - " 1511096\n", + " 1539526\n", " CHN\n", " 2021\n", " Pair\n", + " Contributing family workers, total (% of total...\n", + " 0.329385\n", " Contributing family workers, total\n", - " 7.096551\n", " (% of total employment) (modeled ILO estimate)\n", " \n", " \n", "\n", - "

4608 rows × 6 columns

\n", + "

4545 rows × 7 columns

\n", "" ], "text/plain": [ - " Country Year Continent Indicator Name \\\n", - "151 DEU 1990 Europe Contributing family workers, female \n", - "152 DEU 1990 Europe Contributing family workers, male \n", - "153 DEU 1990 Europe Contributing family workers, total \n", - "1151 DEU 1991 Europe Contributing family workers, female \n", - "1152 DEU 1991 Europe Contributing family workers, male \n", - "... ... ... ... ... \n", - "1510141 CHN 2020 Pair Contributing family workers, male \n", - "1510142 CHN 2020 Pair Contributing family workers, total \n", - "1511094 CHN 2021 Pair Contributing family workers, female \n", - "1511095 CHN 2021 Pair Contributing family workers, male \n", - "1511096 CHN 2021 Pair Contributing family workers, total \n", - "\n", - " 0 Units \n", - "151 1.000000 (% of female employment) (modeled ILO estimate) \n", - "152 1.000000 (% of male employment) (modeled ILO estimate) \n", - "153 1.000000 (% of total employment) (modeled ILO estimate) \n", - "1151 1.000000 (% of female employment) (modeled ILO estimate) \n", - "1152 1.000000 (% of male employment) (modeled ILO estimate) \n", - "... ... ... \n", - "1510141 14.564103 (% of male employment) (modeled ILO estimate) \n", - "1510142 7.096551 (% of total employment) (modeled ILO estimate) \n", - "1511094 5.481356 (% of female employment) (modeled ILO estimate) \n", - "1511095 14.564103 (% of male employment) (modeled ILO estimate) \n", - "1511096 7.096551 (% of total employment) (modeled ILO estimate) \n", - "\n", - "[4608 rows x 6 columns]" + " Country Year Continent \\\n", + "151 DEU 1990 Europe \n", + "152 DEU 1990 Europe \n", + "153 DEU 1990 Europe \n", + "1151 DEU 1991 Europe \n", + "1152 DEU 1991 Europe \n", + "... ... ... ... \n", + "1538535 CHN 2020 Pair \n", + "1538536 CHN 2020 Pair \n", + "1539524 CHN 2021 Pair \n", + "1539525 CHN 2021 Pair \n", + "1539526 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "151 Contributing family workers, female (% of fema... 1.000000 \n", + "152 Contributing family workers, male (% of male e... 1.000000 \n", + "153 Contributing family workers, total (% of total... 1.000000 \n", + "1151 Contributing family workers, female (% of fema... 1.000000 \n", + "1152 Contributing family workers, male (% of male e... 1.000000 \n", + "... ... ... \n", + "1538535 Contributing family workers, male (% of male e... 0.252894 \n", + "1538536 Contributing family workers, total (% of total... 0.329385 \n", + "1539524 Contributing family workers, female (% of fema... 0.386565 \n", + "1539525 Contributing family workers, male (% of male e... 0.252894 \n", + "1539526 Contributing family workers, total (% of total... 0.329385 \n", + "\n", + " Short indicator \\\n", + "151 Contributing family workers, female \n", + "152 Contributing family workers, male \n", + "153 Contributing family workers, total \n", + "1151 Contributing family workers, female \n", + "1152 Contributing family workers, male \n", + "... ... \n", + "1538535 Contributing family workers, male \n", + "1538536 Contributing family workers, total \n", + "1539524 Contributing family workers, female \n", + "1539525 Contributing family workers, male \n", + "1539526 Contributing family workers, total \n", + "\n", + " Units \n", + "151 (% of female employment) (modeled ILO estimate) \n", + "152 (% of male employment) (modeled ILO estimate) \n", + "153 (% of total employment) (modeled ILO estimate) \n", + "1151 (% of female employment) (modeled ILO estimate) \n", + "1152 (% of male employment) (modeled ILO estimate) \n", + "... ... \n", + "1538535 (% of male employment) (modeled ILO estimate) \n", + "1538536 (% of total employment) (modeled ILO estimate) \n", + "1539524 (% of female employment) (modeled ILO estimate) \n", + "1539525 (% of male employment) (modeled ILO estimate) \n", + "1539526 (% of total employment) (modeled ILO estimate) \n", + "\n", + "[4545 rows x 7 columns]" ] }, - "execution_count": 149, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Checking cases of two parenthesis\n", - "two_parent=Categorization[Categorization['Indicator Name'].str.contains('Contributing family workers')]\n", + "#Checking cases of two parenthesis are both extracted.\n", + "two_parent=Categorization2[Categorization2['Short indicator'].str.contains('Contributing family workers')]\n", "two_parent" ] }, { "cell_type": "code", - "execution_count": 150, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -7295,8 +7432,9 @@ " Country\n", " Year\n", " Continent\n", - " Indicator Name\n", + " Indicator\n", " 0\n", + " Short indicator\n", " Units\n", " Other specification\n", " \n", @@ -7309,6 +7447,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of population)\n", " None\n", " \n", @@ -7319,6 +7458,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of rural population)\n", " None\n", " \n", @@ -7329,6 +7469,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of urban population)\n", " None\n", " \n", @@ -7337,8 +7478,9 @@ " DEU\n", " 1990\n", " Europe\n", - " Access to electricity\n", + " Access to electricity (% of population)\n", " 1.000000\n", + " Access to electricity\n", " (% of population)\n", " None\n", " \n", @@ -7347,8 +7489,9 @@ " DEU\n", " 1990\n", " Europe\n", - " Access to electricity, rural\n", + " Access to electricity, rural (% of rural popul...\n", " 1.000000\n", + " Access to electricity, rural\n", " (% of rural population)\n", " None\n", " \n", @@ -7361,60 +7504,66 @@ " ...\n", " ...\n", " ...\n", + " ...\n", " \n", " \n", - " 1511898\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, female\n", - " 0.588267\n", - " (% of female employment\n", - " (modeled ILO estimate)\n", + " GDP (current US$)+3\n", + " 38.504955\n", + " GDP+3\n", + " (current US$)\n", + " None\n", " \n", " \n", - " 1511899\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, male\n", - " 0.631579\n", - " (% of male employment\n", - " (modeled ILO estimate)\n", + " GDP (current US$)+5\n", + " 31.129362\n", + " GDP+5\n", + " (current US$)\n", + " None\n", " \n", " \n", - " 1511900\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, total\n", - " 0.612643\n", - " (% of total employment\n", - " (modeled ILO estimate)\n", + " GDP (current US$)+8\n", + " 26.521259\n", + " GDP+8\n", + " (current US$)\n", + " None\n", " \n", " \n", - " 1511901\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", - " Water productivity, total\n", - " 0.391767\n", - " (constant 2015 US$ GDP per cubic meter of tota...\n", + " GDP (current US$)+13\n", + " 12.731623\n", + " GDP+13\n", + " (current US$)\n", " None\n", " \n", " \n", - " 1511902\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", - " Women Business and the Law Index Score\n", - " 1.061404\n", - " (scale 1-100)\n", + " GDP (current US$)+21\n", + " 3.356853\n", + " GDP+21\n", + " (current US$)\n", " None\n", " \n", " \n", "\n", - "

1511903 rows × 7 columns

\n", + "

1372098 rows × 8 columns

\n", "" ], "text/plain": [ @@ -7425,97 +7574,68 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1511898 CHN 2021 Pair \n", - "1511899 CHN 2021 Pair \n", - "1511900 CHN 2021 Pair \n", - "1511901 CHN 2021 Pair \n", - "1511902 CHN 2021 Pair \n", - "\n", - " Indicator Name 0 \\\n", - "0 Access to clean fuels and technologies for coo... 1.000000 \n", - "1 Access to clean fuels and technologies for coo... 1.000000 \n", - "2 Access to clean fuels and technologies for coo... 1.000000 \n", - "3 Access to electricity 1.000000 \n", - "4 Access to electricity, rural 1.000000 \n", - "... ... ... \n", - "1511898 Wage and salaried workers, female 0.588267 \n", - "1511899 Wage and salaried workers, male 0.631579 \n", - "1511900 Wage and salaried workers, total 0.612643 \n", - "1511901 Water productivity, total 0.391767 \n", - "1511902 Women Business and the Law Index Score 1.061404 \n", - "\n", - " Units \\\n", - "0 (% of population) \n", - "1 (% of rural population) \n", - "2 (% of urban population) \n", - "3 (% of population) \n", - "4 (% of rural population) \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity \n", + "4 Access to electricity, rural \n", "... ... \n", - "1511898 (% of female employment \n", - "1511899 (% of male employment \n", - "1511900 (% of total employment \n", - "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", - "1511902 (scale 1-100) \n", - "\n", - " Other specification \n", - "0 None \n", - "1 None \n", - "2 None \n", - "3 None \n", - "4 None \n", - "... ... \n", - "1511898 (modeled ILO estimate) \n", - "1511899 (modeled ILO estimate) \n", - "1511900 (modeled ILO estimate) \n", - "1511901 None \n", - "1511902 None \n", - "\n", - "[1511903 rows x 7 columns]" - ] - }, - "execution_count": 150, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#As there were variables with more than one parentheses element, we are going to separate them since they are not related to units. They go into Other specification column, although it is not relevant for our study.\n", - "Categorization[['Units','Other specification']]=Categorization['Units'].str.split(\"\\) \", n=1,expand=True)\n", - "Categorization" - ] - }, - { - "cell_type": "code", - "execution_count": 151, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([None, nan, '(per 100,000 adults)', '(modeled ILO estimate)',\n", - " '(cumulative)', '(national estimate)',\n", - " 'per $1,000 GDP (constant 2017 PPP)', '(constant 2015 US$)',\n", - " '(constant LCU)', '(current LCU)', '(current US$)', '(scale 0-1)',\n", - " 'poverty line due to out-of-pocket health care expenditure (% of poverty line)',\n", - " 'poverty line due to out-of-pocket health care expenditure (USD)',\n", - " '(%)', '(% of population)',\n", - " 'poverty line by out-of-pocket health care expenditure (%)'],\n", - " dtype=object)" + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", + "\n", + " Units Other specification \n", + "0 (% of population) None \n", + "1 (% of rural population) None \n", + "2 (% of urban population) None \n", + "3 (% of population) None \n", + "4 (% of rural population) None \n", + "... ... ... \n", + "1540358 (current US$) None \n", + "1540359 (current US$) None \n", + "1540360 (current US$) None \n", + "1540361 (current US$) None \n", + "1540362 (current US$) None \n", + "\n", + "[1372098 rows x 8 columns]" ] }, - "execution_count": 151, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Checking of previous step, as not all of them have this second element.\n", - "Categorization['Other specification'].unique()" + "#As there were variables with more than one parentheses element, we are going to separate them since they are not related to units. They go into Other specification column.\n", + "Categorization2[['Units','Other specification']]=Categorization2['Units'].str.split(\"\\) \", n=1,expand=True)\n", + "Categorization2" ] }, { "cell_type": "code", - "execution_count": 152, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -7542,8 +7662,9 @@ " Country\n", " Year\n", " Continent\n", - " Indicator Name\n", + " Indicator\n", " 0\n", + " Short indicator\n", " Units\n", " Other specification\n", " Subgroup\n", @@ -7557,6 +7678,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of population)\n", " None\n", " NaN\n", @@ -7568,6 +7690,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of rural population)\n", " None\n", " rural\n", @@ -7579,6 +7702,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of urban population)\n", " None\n", " urban\n", @@ -7588,8 +7712,9 @@ " DEU\n", " 1990\n", " Europe\n", - " Access to electricity\n", + " Access to electricity (% of population)\n", " 1.000000\n", + " Access to electricity\n", " (% of population)\n", " None\n", " NaN\n", @@ -7599,8 +7724,9 @@ " DEU\n", " 1990\n", " Europe\n", - " Access to electricity, rural\n", + " Access to electricity, rural (% of rural popul...\n", " 1.000000\n", + " Access to electricity, rural\n", " (% of rural population)\n", " None\n", " rural\n", @@ -7615,65 +7741,71 @@ " ...\n", " ...\n", " ...\n", + " ...\n", " \n", " \n", - " 1511898\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, female\n", - " 0.588267\n", - " (% of female employment\n", - " (modeled ILO estimate)\n", - " female\n", + " GDP (current US$)+3\n", + " 38.504955\n", + " GDP+3\n", + " (current US$)\n", + " None\n", + " NaN\n", " \n", " \n", - " 1511899\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, male\n", - " 0.631579\n", - " (% of male employment\n", - " (modeled ILO estimate)\n", - " male\n", + " GDP (current US$)+5\n", + " 31.129362\n", + " GDP+5\n", + " (current US$)\n", + " None\n", + " NaN\n", " \n", " \n", - " 1511900\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers, total\n", - " 0.612643\n", - " (% of total employment\n", - " (modeled ILO estimate)\n", - " total\n", + " GDP (current US$)+8\n", + " 26.521259\n", + " GDP+8\n", + " (current US$)\n", + " None\n", + " NaN\n", " \n", " \n", - " 1511901\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", - " Water productivity, total\n", - " 0.391767\n", - " (constant 2015 US$ GDP per cubic meter of tota...\n", + " GDP (current US$)+13\n", + " 12.731623\n", + " GDP+13\n", + " (current US$)\n", " None\n", - " total\n", + " NaN\n", " \n", " \n", - " 1511902\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", - " Women Business and the Law Index Score\n", - " 1.061404\n", - " (scale 1-100)\n", + " GDP (current US$)+21\n", + " 3.356853\n", + " GDP+21\n", + " (current US$)\n", " None\n", " NaN\n", " \n", " \n", "\n", - "

1511903 rows × 8 columns

\n", + "

1372098 rows × 9 columns

\n", "" ], "text/plain": [ @@ -7684,68 +7816,68 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1511898 CHN 2021 Pair \n", - "1511899 CHN 2021 Pair \n", - "1511900 CHN 2021 Pair \n", - "1511901 CHN 2021 Pair \n", - "1511902 CHN 2021 Pair \n", - "\n", - " Indicator Name 0 \\\n", - "0 Access to clean fuels and technologies for coo... 1.000000 \n", - "1 Access to clean fuels and technologies for coo... 1.000000 \n", - "2 Access to clean fuels and technologies for coo... 1.000000 \n", - "3 Access to electricity 1.000000 \n", - "4 Access to electricity, rural 1.000000 \n", - "... ... ... \n", - "1511898 Wage and salaried workers, female 0.588267 \n", - "1511899 Wage and salaried workers, male 0.631579 \n", - "1511900 Wage and salaried workers, total 0.612643 \n", - "1511901 Water productivity, total 0.391767 \n", - "1511902 Women Business and the Law Index Score 1.061404 \n", - "\n", - " Units \\\n", - "0 (% of population) \n", - "1 (% of rural population) \n", - "2 (% of urban population) \n", - "3 (% of population) \n", - "4 (% of rural population) \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity \n", + "4 Access to electricity, rural \n", "... ... \n", - "1511898 (% of female employment \n", - "1511899 (% of male employment \n", - "1511900 (% of total employment \n", - "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", - "1511902 (scale 1-100) \n", - "\n", - " Other specification Subgroup \n", - "0 None NaN \n", - "1 None rural \n", - "2 None urban \n", - "3 None NaN \n", - "4 None rural \n", - "... ... ... \n", - "1511898 (modeled ILO estimate) female \n", - "1511899 (modeled ILO estimate) male \n", - "1511900 (modeled ILO estimate) total \n", - "1511901 None total \n", - "1511902 None NaN \n", - "\n", - "[1511903 rows x 8 columns]" + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", + "\n", + " Units Other specification Subgroup \n", + "0 (% of population) None NaN \n", + "1 (% of rural population) None rural \n", + "2 (% of urban population) None urban \n", + "3 (% of population) None NaN \n", + "4 (% of rural population) None rural \n", + "... ... ... ... \n", + "1540358 (current US$) None NaN \n", + "1540359 (current US$) None NaN \n", + "1540360 (current US$) None NaN \n", + "1540361 (current US$) None NaN \n", + "1540362 (current US$) None NaN \n", + "\n", + "[1372098 rows x 9 columns]" ] }, - "execution_count": 152, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Getting the subclassification of some variables that have information divided for small groups. These categorization is specified at the end of the variable separated by a \",\".\n", - "Categorization[['Subgroup']]=Categorization['Indicator Name'].str.extract(',(?P[^,]*?)$')\n", - "Categorization" + "#Getting the subclassification of some variables that have information divided for small groups. These categorization is specified at the end of the variable separated by the last \",\".\n", + "Categorization2[['Subgroup']]=Categorization2['Short indicator'].str.extract(',(?P[^,]*?)$')\n", + "Categorization2" ] }, { "cell_type": "code", - "execution_count": 153, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -7772,8 +7904,9 @@ " Country\n", " Year\n", " Continent\n", - " Indicator Name\n", + " Indicator\n", " 0\n", + " Short indicator\n", " Units\n", " Other specification\n", " Subgroup\n", @@ -7787,6 +7920,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of population)\n", " None\n", " NaN\n", @@ -7798,6 +7932,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of rural population)\n", " None\n", " rural\n", @@ -7809,6 +7944,7 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of urban population)\n", " None\n", " urban\n", @@ -7818,8 +7954,9 @@ " DEU\n", " 1990\n", " Europe\n", - " Access to electricity\n", + " Access to electricity (% of population)\n", " 1.000000\n", + " Access to electricity\n", " (% of population)\n", " None\n", " NaN\n", @@ -7829,8 +7966,9 @@ " DEU\n", " 1990\n", " Europe\n", - " Access to electricity\n", + " Access to electricity, rural (% of rural popul...\n", " 1.000000\n", + " Access to electricity\n", " (% of rural population)\n", " None\n", " rural\n", @@ -7845,65 +7983,71 @@ " ...\n", " ...\n", " ...\n", + " ...\n", " \n", " \n", - " 1511898\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers\n", - " 0.588267\n", - " (% of female employment\n", - " (modeled ILO estimate)\n", - " female\n", + " GDP (current US$)+3\n", + " 38.504955\n", + " GDP+3\n", + " (current US$)\n", + " None\n", + " NaN\n", " \n", " \n", - " 1511899\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers\n", - " 0.631579\n", - " (% of male employment\n", - " (modeled ILO estimate)\n", - " male\n", + " GDP (current US$)+5\n", + " 31.129362\n", + " GDP+5\n", + " (current US$)\n", + " None\n", + " NaN\n", " \n", " \n", - " 1511900\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers\n", - " 0.612643\n", - " (% of total employment\n", - " (modeled ILO estimate)\n", - " total\n", + " GDP (current US$)+8\n", + " 26.521259\n", + " GDP+8\n", + " (current US$)\n", + " None\n", + " NaN\n", " \n", " \n", - " 1511901\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", - " Water productivity\n", - " 0.391767\n", - " (constant 2015 US$ GDP per cubic meter of tota...\n", + " GDP (current US$)+13\n", + " 12.731623\n", + " GDP+13\n", + " (current US$)\n", " None\n", - " total\n", + " NaN\n", " \n", " \n", - " 1511902\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", - " Women Business and the Law Index Score\n", - " 1.061404\n", - " (scale 1-100)\n", + " GDP (current US$)+21\n", + " 3.356853\n", + " GDP+21\n", + " (current US$)\n", " None\n", " NaN\n", " \n", " \n", "\n", - "

1511903 rows × 8 columns

\n", + "

1372098 rows × 9 columns

\n", "" ], "text/plain": [ @@ -7914,497 +8058,79 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1511898 CHN 2021 Pair \n", - "1511899 CHN 2021 Pair \n", - "1511900 CHN 2021 Pair \n", - "1511901 CHN 2021 Pair \n", - "1511902 CHN 2021 Pair \n", - "\n", - " Indicator Name 0 \\\n", - "0 Access to clean fuels and technologies for coo... 1.000000 \n", - "1 Access to clean fuels and technologies for coo... 1.000000 \n", - "2 Access to clean fuels and technologies for coo... 1.000000 \n", - "3 Access to electricity 1.000000 \n", - "4 Access to electricity 1.000000 \n", - "... ... ... \n", - "1511898 Wage and salaried workers 0.588267 \n", - "1511899 Wage and salaried workers 0.631579 \n", - "1511900 Wage and salaried workers 0.612643 \n", - "1511901 Water productivity 0.391767 \n", - "1511902 Women Business and the Law Index Score 1.061404 \n", - "\n", - " Units \\\n", - "0 (% of population) \n", - "1 (% of rural population) \n", - "2 (% of urban population) \n", - "3 (% of population) \n", - "4 (% of rural population) \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity \n", + "4 Access to electricity \n", "... ... \n", - "1511898 (% of female employment \n", - "1511899 (% of male employment \n", - "1511900 (% of total employment \n", - "1511901 (constant 2015 US$ GDP per cubic meter of tota... \n", - "1511902 (scale 1-100) \n", - "\n", - " Other specification Subgroup \n", - "0 None NaN \n", - "1 None rural \n", - "2 None urban \n", - "3 None NaN \n", - "4 None rural \n", - "... ... ... \n", - "1511898 (modeled ILO estimate) female \n", - "1511899 (modeled ILO estimate) male \n", - "1511900 (modeled ILO estimate) total \n", - "1511901 None total \n", - "1511902 None NaN \n", - "\n", - "[1511903 rows x 8 columns]" + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", + "\n", + " Units Other specification Subgroup \n", + "0 (% of population) None NaN \n", + "1 (% of rural population) None rural \n", + "2 (% of urban population) None urban \n", + "3 (% of population) None NaN \n", + "4 (% of rural population) None rural \n", + "... ... ... ... \n", + "1540358 (current US$) None NaN \n", + "1540359 (current US$) None NaN \n", + "1540360 (current US$) None NaN \n", + "1540361 (current US$) None NaN \n", + "1540362 (current US$) None NaN \n", + "\n", + "[1372098 rows x 9 columns]" ] }, - "execution_count": 153, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Delete the extracted information from origin column. \n", - "Categorization['Indicator Name']=Categorization['Indicator Name'].str.replace(',(?P[^,]*?)$',\"\")\n", - "Categorization" + "Categorization2['Short indicator']=Categorization2['Short indicator'].str.replace(',(?P[^,]*?)$',\"\")\n", + "Categorization2" ] }, { "cell_type": "code", - "execution_count": 154, + "execution_count": 51, "metadata": {}, "outputs": [], "source": [ - "#Checking of previous step, as not all of them have this second element.\n", - "Categorization['Subgroup']=Categorization['Subgroup'].replace(['None'],['total'])\n", - "Categorization['Subgroup']=Categorization['Subgroup'].fillna('total')\n", - "Categorization.drop(columns='Other specification', inplace=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 155, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array(['Access to clean fuels and technologies for cooking ',\n", - " 'Access to clean fuels and technologies for cooking',\n", - " 'Access to electricity ', 'Access to electricity',\n", - " 'Account ownership at a financial institution or with a mobile-money-service provider ',\n", - " 'Account ownership at a financial institution or with a mobile-money-service provider',\n", - " 'Adjusted net enrollment rate',\n", - " 'Adjusted net enrollment rate, primary',\n", - " 'Adjusted net national income ',\n", - " 'Adjusted net national income per capita ', 'Adjusted net savings',\n", - " 'Adjusted savings: carbon dioxide damage ',\n", - " 'Adjusted savings: consumption of fixed capital ',\n", - " 'Adjusted savings: education expenditure ',\n", - " 'Adjusted savings: energy depletion ',\n", - " 'Adjusted savings: gross savings ',\n", - " 'Adjusted savings: mineral depletion ',\n", - " 'Adjusted savings: natural resources depletion ',\n", - " 'Adjusted savings: net national savings ',\n", - " 'Adjusted savings: particulate emission damage ',\n", - " 'Adolescent fertility rate ', 'Adolescents out of school ',\n", - " 'Adolescents out of school', 'Age dependency ratio ',\n", - " 'Age dependency ratio', 'Agricultural irrigated land ',\n", - " 'Agricultural land ', 'Agricultural machinery',\n", - " 'Agricultural methane emissions ',\n", - " 'Agricultural nitrous oxide emissions ',\n", - " 'Agricultural raw materials exports ',\n", - " 'Agricultural raw materials imports ',\n", - " 'Agriculture, forestry, and fishing', 'Air transport',\n", - " 'Alternative and nuclear energy ', 'Annual freshwater withdrawals',\n", - " 'Aquaculture production ', 'Arable land ',\n", - " 'Armed forces personnel ', 'Armed forces personnel',\n", - " 'Arms exports ', 'Arms imports ', 'Automated teller machines ',\n", - " 'Average precipitation in depth ',\n", - " 'Average time to clear exports through customs ',\n", - " 'Binding coverage', 'Bird species', 'Birth rate',\n", - " 'Births attended by skilled health staff ',\n", - " 'Bound rate, simple mean', 'Business extent of disclosure index ',\n", - " 'CO2 emissions ',\n", - " 'CO2 emissions from electricity and heat production',\n", - " 'CO2 emissions from gaseous fuel consumption ',\n", - " 'CO2 emissions from liquid fuel consumption ',\n", - " 'CO2 emissions from manufacturing industries and construction ',\n", - " 'CO2 emissions from other sectors',\n", - " 'CO2 emissions from residential buildings and commercial and public services ',\n", - " 'CO2 emissions from solid fuel consumption ',\n", - " 'CO2 emissions from transport ', 'CO2 intensity ',\n", - " 'Capture fisheries production ',\n", - " 'Cause of death, by communicable diseases and maternal',\n", - " 'Cause of death', 'Cereal production ', 'Cereal yield ',\n", - " 'Changes in inventories ',\n", - " 'Charges for the use of intellectual property', 'Chemicals ',\n", - " 'Children out of school ', 'Children out of school',\n", - " 'Children out of school, primary', 'Claims on central government',\n", - " 'Coal rents ', 'Combustible renewables and waste ',\n", - " 'Commercial bank branches ', 'Commercial service exports ',\n", - " 'Commercial service imports ', 'Communications, computer',\n", - " 'Completeness of birth registration ',\n", - " 'Completeness of birth registration', 'Compulsory education',\n", - " 'Computer', 'Consumer price index ', 'Container port traffic ',\n", - " 'Contraceptive prevalence', 'Contributing family workers',\n", - " 'Cost of business start-up procedures ',\n", - " 'Cost of business start-up procedures', 'Cost to export',\n", - " 'Crop production index ', 'Current account balance ',\n", - " 'Current education expenditure', 'Current health expenditure ',\n", - " 'Current health expenditure per capita ',\n", - " 'Current health expenditure per capita',\n", - " 'DEC alternative conversion factor ', 'Death rate',\n", - " 'Depth of credit information index ', 'Diabetes prevalence ',\n", - " 'Domestic credit to private sector ',\n", - " 'Domestic credit to private sector by banks ',\n", - " 'Domestic general government health expenditure ',\n", - " 'Domestic general government health expenditure per capita ',\n", - " 'Domestic general government health expenditure per capita',\n", - " 'Domestic private health expenditure ',\n", - " 'Domestic private health expenditure per capita ',\n", - " 'Domestic private health expenditure per capita',\n", - " 'Droughts, floods', 'Ease of doing business rank ',\n", - " 'Ease of doing business score ',\n", - " 'Educational attainment, at least completed lower secondary, population 25+',\n", - " 'Educational attainment, at least completed primary, population 25+ years',\n", - " 'Educational attainment, at least completed short-cycle tertiary, population 25+',\n", - " 'Educational attainment, at least completed upper secondary, population 25+',\n", - " 'Electric power consumption ',\n", - " 'Electric power transmission and distribution losses ',\n", - " 'Electricity production from coal sources ',\n", - " 'Electricity production from hydroelectric sources ',\n", - " 'Electricity production from natural gas sources ',\n", - " 'Electricity production from nuclear sources ',\n", - " 'Electricity production from oil sources ',\n", - " 'Electricity production from oil',\n", - " 'Electricity production from renewable sources', 'Employers',\n", - " 'Employment in agriculture ', 'Employment in agriculture',\n", - " 'Employment in industry ', 'Employment in industry',\n", - " 'Employment in services ', 'Employment in services',\n", - " 'Employment to population ratio, 15+',\n", - " 'Employment to population ratio, ages 15-24', 'Energy imports',\n", - " 'Energy intensity level of primary energy ',\n", - " 'Energy related methane emissions ', 'Energy use ',\n", - " 'Expenditure on tertiary education ', 'Export unit value index ',\n", - " 'Export value index ', 'Export volume index ',\n", - " 'Exports as a capacity to import ',\n", - " 'Exports of goods and services ', 'Exports of goods',\n", - " 'External balance on goods and services ', 'Fertility rate',\n", - " 'Fertilizer consumption ', 'Final consumption expenditure ',\n", - " 'Firms expected to give gifts in meetings with tax officials ',\n", - " 'Firms offering formal training ',\n", - " 'Firms using banks to finance investment ',\n", - " 'Firms using banks to finance working capital ',\n", - " 'Firms with female participation in ownership ', 'Fish species',\n", - " 'Fixed broadband subscriptions', 'Fixed broadband subscriptions ',\n", - " 'Fixed telephone subscriptions', 'Fixed telephone subscriptions ',\n", - " 'Food exports ', 'Food imports ', 'Food production index ', 'Food',\n", - " 'Foreign direct investment', 'Forest area ', 'Forest rents ',\n", - " 'Fossil fuel energy consumption ', 'Fuel exports ',\n", - " 'Fuel imports ', 'GDP ', 'GDP deflator ',\n", - " 'GDP deflator: linked series ', 'GDP growth ', 'GDP per capita ',\n", - " 'GDP per capita growth ', 'GDP per capita',\n", - " 'GDP per person employed ', 'GDP per unit of energy use ', 'GDP',\n", - " 'GDP: linked series ', 'GHG net emissions/removals by LUCF ',\n", - " 'GNI ', 'GNI growth ', 'GNI per capita ', 'GNI per capita growth ',\n", - " 'GNI per capita', 'GNI', 'GNI: linked series ',\n", - " 'General government final consumption expenditure ', 'Gini index',\n", - " 'Goods exports ', 'Goods imports ',\n", - " 'Government expenditure on education',\n", - " 'Government expenditure per student', 'Grants and other revenue ',\n", - " 'Gross capital formation ', 'Gross domestic income ',\n", - " 'Gross domestic savings ', 'Gross fixed capital formation ',\n", - " 'Gross intake ratio in first grade of primary education',\n", - " 'Gross national expenditure ',\n", - " 'Gross national expenditure deflator ', 'Gross savings ',\n", - " 'Gross value added at basic prices ', 'HFC gas emissions ',\n", - " 'High-technology exports ', 'Hospital beds ',\n", - " 'Households and NPISHs Final consumption expenditure ',\n", - " 'Households and NPISHs Final consumption expenditure per capita ',\n", - " 'Households and NPISHs Final consumption expenditure per capita growth ',\n", - " 'Households and NPISHs Final consumption expenditure',\n", - " 'Households and NPISHs final consumption expenditure ',\n", - " 'Households and NPISHs final consumption expenditure: linked series ',\n", - " 'Human capital index ', 'ICT goods exports ', 'ICT goods imports ',\n", - " 'ICT service exports ', 'Immunization', 'Import unit value index ',\n", - " 'Import value index ', 'Import volume index ',\n", - " 'Imports of goods and services ', 'Imports of goods',\n", - " 'Incidence of tuberculosis ', 'Income share held by fourth 20%',\n", - " 'Income share held by highest 10%',\n", - " 'Income share held by highest 20%',\n", - " 'Income share held by lowest 10%',\n", - " 'Income share held by lowest 20%',\n", - " 'Income share held by second 20%',\n", - " 'Income share held by third 20%',\n", - " 'Increase in poverty gap at $1.90 ',\n", - " 'Increase in poverty gap at $3.20 ',\n", - " 'Individuals using the Internet ',\n", - " 'Industrial design applications, nonresident',\n", - " 'Industrial design applications, resident', 'Industry ',\n", - " 'Inflation', 'Insurance and financial services ',\n", - " 'Intentional homicides ', 'Interest payments ',\n", - " 'Internally displaced persons', 'International migrant stock ',\n", - " 'International migrant stock', 'International tourism',\n", - " 'Labor force participation rate for ages 15-24',\n", - " 'Labor force participation rate',\n", - " 'Labor force with advanced education ',\n", - " 'Labor force with advanced education',\n", - " 'Labor force with basic education ',\n", - " 'Labor force with basic education',\n", - " 'Labor force with intermediate education ',\n", - " 'Labor force with intermediate education', 'Labor force',\n", - " 'Labor tax and contributions ', 'Land area ',\n", - " 'Land area where elevation is below 5 meters ',\n", - " 'Land under cereal production ', 'Lead time to export',\n", - " 'Lead time to import',\n", - " 'Level of water stress: freshwater withdrawal as a proportion of available freshwater resources',\n", - " 'Life expectancy at birth', 'Lifetime risk of maternal death ',\n", - " 'Liner shipping connectivity index ', 'Listed domestic companies',\n", - " 'Livestock production index ',\n", - " 'Logistics performance index: Ability to track and trace consignments ',\n", - " 'Logistics performance index: Competence and quality of logistics services ',\n", - " 'Logistics performance index: Ease of arranging competitively priced shipments ',\n", - " 'Logistics performance index: Efficiency of customs clearance process ',\n", - " 'Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time ',\n", - " 'Logistics performance index: Overall ',\n", - " 'Logistics performance index: Quality of trade and transport-related infrastructure ',\n", - " 'Low-birthweight babies ', 'Lower secondary completion rate',\n", - " 'Lower secondary school starting age ',\n", - " 'Machinery and transport equipment ', 'Mammal species',\n", - " 'Manufactures exports ', 'Manufactures imports ', 'Manufacturing',\n", - " 'Marine protected areas ',\n", - " 'Market capitalization of listed domestic companies ',\n", - " 'Maternal mortality ratio ', 'Medium and high-tech exports ',\n", - " 'Medium and high-tech manufacturing value added ',\n", - " 'Merchandise exports ',\n", - " 'Merchandise exports by the reporting economy ',\n", - " 'Merchandise exports by the reporting economy',\n", - " 'Merchandise exports to economies in the Arab World ',\n", - " 'Merchandise exports to high-income economies ',\n", - " 'Merchandise exports to low- and middle-income economies in East Asia & Pacific ',\n", - " 'Merchandise exports to low- and middle-income economies in Europe & Central Asia ',\n", - " 'Merchandise exports to low- and middle-income economies in Latin America & the Caribbean ',\n", - " 'Merchandise exports to low- and middle-income economies in Middle East & North Africa ',\n", - " 'Merchandise exports to low- and middle-income economies in South Asia ',\n", - " 'Merchandise exports to low- and middle-income economies in Sub-Saharan Africa ',\n", - " 'Merchandise exports to low- and middle-income economies outside region ',\n", - " 'Merchandise imports ',\n", - " 'Merchandise imports by the reporting economy ',\n", - " 'Merchandise imports by the reporting economy',\n", - " 'Merchandise imports from economies in the Arab World ',\n", - " 'Merchandise imports from high-income economies ',\n", - " 'Merchandise imports from low- and middle-income economies in East Asia & Pacific ',\n", - " 'Merchandise imports from low- and middle-income economies in Europe & Central Asia ',\n", - " 'Merchandise imports from low- and middle-income economies in Latin America & the Caribbean ',\n", - " 'Merchandise imports from low- and middle-income economies in Middle East & North Africa ',\n", - " 'Merchandise imports from low- and middle-income economies in South Asia ',\n", - " 'Merchandise imports from low- and middle-income economies in Sub-Saharan Africa ',\n", - " 'Merchandise imports from low- and middle-income economies outside region ',\n", - " 'Merchandise trade ', 'Methane emissions ',\n", - " 'Methane emissions in energy sector ', 'Military expenditure ',\n", - " 'Mineral rents ', 'Mobile cellular subscriptions',\n", - " 'Mobile cellular subscriptions ',\n", - " 'Monetary Sector credit to private sector ',\n", - " 'Mortality caused by road traffic injury ',\n", - " 'Mortality from CVD, cancer',\n", - " 'Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70',\n", - " 'Mortality rate attributed to household and ambient air pollution',\n", - " 'Mortality rate attributed to household and ambient air pollution, age-standardized',\n", - " 'Mortality rate attributed to unintentional poisoning ',\n", - " 'Mortality rate attributed to unintentional poisoning',\n", - " 'Mortality rate attributed to unsafe water',\n", - " 'Mortality rate, adult', 'Mortality rate',\n", - " 'Mortality rate, infant', 'Mortality rate, under-5',\n", - " 'Natural gas rents ', 'Net barter terms of trade index ',\n", - " 'Net capital account ', 'Net domestic credit ',\n", - " 'Net errors and omissions ', 'Net financial account ',\n", - " 'Net foreign assets ', 'Net migration', 'Net primary income ',\n", - " 'Net secondary income ', 'Net trade in goods ',\n", - " 'Net trade in goods and services ', 'New business density ',\n", - " 'New businesses registered ', 'Nitrous oxide emissions ',\n", - " 'Nitrous oxide emissions in energy sector ',\n", - " 'Number of deaths ages 10-14 years',\n", - " 'Number of deaths ages 15-19 years',\n", - " 'Number of deaths ages 20-24 years',\n", - " 'Number of deaths ages 5-9 years', 'Number of infant deaths',\n", - " 'Number of maternal deaths', 'Number of neonatal deaths',\n", - " 'Number of under-five deaths', 'Nurses and midwives ',\n", - " 'Official exchange rate ', 'Oil rents ',\n", - " 'Ores and metals exports ', 'Ores and metals imports ',\n", - " 'Other greenhouse gas emissions ',\n", - " 'Other greenhouse gas emissions, HFC', 'Other manufacturing ',\n", - " 'Other taxes payable by businesses ', 'Out-of-pocket expenditure ',\n", - " 'Out-of-pocket expenditure per capita ',\n", - " 'Out-of-pocket expenditure per capita', 'Over-age students',\n", - " 'Over-age students, primary', 'PFC gas emissions ',\n", - " 'PM2.5 air pollution', 'PM2.5 pollution', 'PPP conversion factor',\n", - " 'Part time employment', 'Patent applications',\n", - " 'People using at least basic drinking water services ',\n", - " 'People using at least basic drinking water services',\n", - " 'People using at least basic sanitation services ',\n", - " 'People using at least basic sanitation services',\n", - " 'People using safely managed sanitation services ',\n", - " 'Permanent cropland ', 'Persistence to last grade of primary',\n", - " 'Personal remittances', 'Personal transfers', 'Physicians ',\n", - " 'Plant species ', 'Population ages 0-14 ', 'Population ages 0-14',\n", - " 'Population ages 00-04', 'Population ages 05-09',\n", - " 'Population ages 10-14', 'Population ages 15-19',\n", - " 'Population ages 15-64 ', 'Population ages 15-64',\n", - " 'Population ages 20-24', 'Population ages 25-29',\n", - " 'Population ages 30-34', 'Population ages 35-39',\n", - " 'Population ages 40-44', 'Population ages 45-49',\n", - " 'Population ages 50-54', 'Population ages 55-59',\n", - " 'Population ages 60-64', 'Population ages 65 and above ',\n", - " 'Population ages 65 and above', 'Population ages 65-69',\n", - " 'Population ages 70-74', 'Population ages 75-79',\n", - " 'Population ages 80 and above', 'Population density ',\n", - " 'Population growth ', 'Population in largest city',\n", - " 'Population in the largest city ',\n", - " 'Population in urban agglomerations of more than 1 million',\n", - " 'Population in urban agglomerations of more than 1 million ',\n", - " 'Population living in areas where elevation is below 5 meters ',\n", - " 'Population', 'Portfolio equity', 'Portfolio investment',\n", - " 'Poverty gap at $5.50 a day ',\n", - " 'Poverty headcount ratio at $5.50 a day ',\n", - " 'Poverty headcount ratio at national poverty lines ',\n", - " 'Pregnant women receiving prenatal care ', 'Preprimary education',\n", - " 'Prevalence of anemia among children ',\n", - " 'Prevalence of anemia among non-pregnant women ',\n", - " 'Prevalence of anemia among pregnant women ',\n", - " 'Prevalence of anemia among women of reproductive age ',\n", - " 'Prevalence of current tobacco use ',\n", - " 'Prevalence of current tobacco use', 'Prevalence of overweight ',\n", - " 'Prevalence of overweight', 'Prevalence of stunting',\n", - " 'Prevalence of undernourishment ', 'Prevalence of underweight',\n", - " 'Prevalence of wasting',\n", - " 'Price level ratio of PPP conversion factor to market exchange rate',\n", - " 'Primary completion rate', 'Primary education',\n", - " 'Primary income payments ', 'Primary income receipts ',\n", - " 'Primary school starting age ', 'Private credit bureau coverage ',\n", - " 'Probability of dying among adolescents ages 10-14 years ',\n", - " 'Probability of dying among adolescents ages 15-19 years ',\n", - " 'Probability of dying among children ages 5-9 years ',\n", - " 'Probability of dying among youth ages 20-24 years ',\n", - " 'Procedures to build a warehouse ',\n", - " 'Procedures to register property ', 'Profit tax ',\n", - " 'Progression to secondary school ',\n", - " 'Progression to secondary school',\n", - " 'Proportion of people living below 50 percent of median income ',\n", - " 'Proportion of population pushed below the $1.90 ',\n", - " 'Proportion of population pushed below the $3.20 ',\n", - " 'Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure ',\n", - " 'Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure ',\n", - " 'Proportion of seats held by women in national parliaments ',\n", - " 'Public credit registry coverage ', 'Pump price for diesel fuel ',\n", - " 'Pump price for gasoline ', 'Pupil-teacher ratio', 'Rail lines ',\n", - " 'Railways',\n", - " 'Ratio of female to male labor force participation rate ',\n", - " 'Refugee population by country or territory of asylum',\n", - " 'Refugee population by country or territory of origin',\n", - " 'Renewable electricity output ', 'Renewable energy consumption ',\n", - " 'Renewable internal freshwater resources per capita ',\n", - " 'Renewable internal freshwater resources', 'Repeaters, primary',\n", - " 'Research and development expenditure ', 'Researchers in R&D ',\n", - " 'Reserves and related items ', 'Revenue',\n", - " 'Risk of catastrophic expenditure for surgical care ',\n", - " 'Rural land area ',\n", - " 'Rural land area where elevation is below 5 meters ',\n", - " 'Rural population', 'Rural population ',\n", - " 'Rural population growth ',\n", - " 'Rural population living in areas where elevation is below 5 meters ',\n", - " 'SF6 gas emissions ', 'School enrollment',\n", - " 'School enrollment, preprimary', 'School enrollment, primary',\n", - " 'School enrollment, secondary', 'School enrollment, tertiary',\n", - " 'Scientific and technical journal articles', 'Secondary education',\n", - " 'Secondary education, teachers', 'Secondary income receipts ',\n", - " 'Secondary income, other sectors', 'Secure Internet servers',\n", - " 'Secure Internet servers ', 'Self-employed', 'Service exports ',\n", - " 'Service imports ', 'Services', 'Sex ratio at birth ',\n", - " 'Share of tariff lines with international peaks',\n", - " 'Share of tariff lines with specific rates',\n", - " 'Share of youth not in education, employment or training',\n", - " 'Social contributions ', 'Specialist surgical workforce ',\n", - " 'Start-up procedures to register a business ',\n", - " 'Start-up procedures to register a business',\n", - " 'Statistical performance indicators ', 'Stocks traded',\n", - " 'Strength of legal rights index ', 'Suicide mortality rate ',\n", - " 'Suicide mortality rate', 'Surface area ', 'Survival to age 65',\n", - " 'Tariff rate, applied, simple mean',\n", - " 'Tariff rate, applied, weighted mean',\n", - " 'Tariff rate, most favored nation, simple mean',\n", - " 'Tariff rate, most favored nation, weighted mean', 'Tax payments ',\n", - " 'Tax revenue ', 'Taxes less subsidies on products ',\n", - " 'Taxes on goods and services ', 'Taxes on income',\n", - " 'Terms of trade adjustment ',\n", - " 'Terrestrial and marine protected areas ',\n", - " 'Terrestrial protected areas ', 'Tertiary education',\n", - " 'Textiles and clothing ', 'Time required to build a warehouse ',\n", - " 'Time required to enforce a contract ',\n", - " 'Time required to get electricity ',\n", - " 'Time required to register property ',\n", - " 'Time required to start a business ',\n", - " 'Time required to start a business',\n", - " 'Time spent dealing with the requirements of government regulations ',\n", - " 'Time to export', 'Time to import',\n", - " 'Time to obtain an electrical connection ',\n", - " 'Time to prepare and pay taxes ', 'Time to resolve insolvency ',\n", - " 'Total alcohol consumption per capita ',\n", - " 'Total alcohol consumption per capita',\n", - " 'Total fisheries production ', 'Total greenhouse gas emissions ',\n", - " 'Total natural resources rents ', 'Total reserves ',\n", - " 'Total reserves in months of imports',\n", - " 'Total reserves minus gold ', 'Total tax and contribution rate ',\n", - " 'Trade ', 'Trade in services ', 'Trademark applications',\n", - " 'Trademark applications, nonresident',\n", - " 'Trademark applications, resident', 'Transport services ',\n", - " 'Travel services ', 'Tuberculosis case detection rate ',\n", - " 'Tuberculosis treatment success rate ',\n", - " 'UHC service coverage index',\n", - " 'Unemployment with advanced education ',\n", - " 'Unemployment with advanced education',\n", - " 'Unemployment with basic education ',\n", - " 'Unemployment with basic education',\n", - " 'Unemployment with intermediate education ',\n", - " 'Unemployment with intermediate education', 'Unemployment',\n", - " 'Urban land area ',\n", - " 'Urban land area where elevation is below 5 meters ',\n", - " 'Urban population', 'Urban population ',\n", - " 'Urban population growth ',\n", - " 'Urban population living in areas where elevation is below 5 meters ',\n", - " 'Vulnerable employment', 'Wage and salaried workers',\n", - " 'Water productivity', 'Women Business and the Law Index Score ',\n", - " 'Poverty headcount ratio at $3.20 a day ',\n", - " 'Customs and other import duties ',\n", - " 'Discrepancy in expenditure estimate of GDP ', 'Other taxes ',\n", - " 'Poverty gap at $3.20 a day ', 'Taxes on international trade ',\n", - " 'Poverty headcount ratio at $1.90 a day ',\n", - " 'Poverty gap at $1.90 a day ', 'External health expenditure ',\n", - " 'External health expenditure per capita ',\n", - " 'External health expenditure per capita',\n", - " 'Risk of impoverishing expenditure for surgical care ',\n", - " 'People practicing open defecation ',\n", - " 'People practicing open defecation', 'Cost to import',\n", - " 'Taxes on exports ', 'Adjusted savings: net forest depletion '],\n", - " dtype=object)" - ] - }, - "execution_count": 155, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Categorization['Indicator Name'].unique()" + "#Checking of previous step, as not all of them have this element.\n", + "Categorization2['Subgroup']=Categorization2['Subgroup'].replace(['None'],['total'])\n", + "Categorization2['Subgroup']=Categorization2['Subgroup'].fillna('total')" ] }, { "cell_type": "code", - "execution_count": 156, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -8431,9 +8157,11 @@ " Country\n", " Year\n", " Continent\n", - " Indicator Name\n", + " Indicator\n", " 0\n", + " Short indicator\n", " Units\n", + " Other specification\n", " Subgroup\n", " \n", " \n", @@ -8445,7 +8173,9 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of population)\n", + " None\n", " total\n", " \n", " \n", @@ -8455,7 +8185,9 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of rural population)\n", + " None\n", " rural\n", " \n", " \n", @@ -8465,7 +8197,9 @@ " Europe\n", " Access to clean fuels and technologies for coo...\n", " 1.000000\n", + " Access to clean fuels and technologies for coo...\n", " (% of urban population)\n", + " None\n", " urban\n", " \n", " \n", @@ -8473,9 +8207,11 @@ " DEU\n", " 1990\n", " Europe\n", - " Access to electricity\n", + " Access to electricity (% of population)\n", " 1.000000\n", + " Access to electricity\n", " (% of population)\n", + " None\n", " total\n", " \n", " \n", @@ -8483,9 +8219,11 @@ " DEU\n", " 1990\n", " Europe\n", - " Access to electricity\n", + " Access to electricity, rural (% of rural popul...\n", " 1.000000\n", + " Access to electricity\n", " (% of rural population)\n", + " None\n", " rural\n", " \n", " \n", @@ -8497,60 +8235,72 @@ " ...\n", " ...\n", " ...\n", + " ...\n", + " ...\n", " \n", " \n", - " 1511898\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers\n", - " 0.588267\n", - " (% of female employment\n", - " female\n", + " GDP (current US$)+3\n", + " 38.504955\n", + " GDP+3\n", + " (current US$)\n", + " None\n", + " total\n", " \n", " \n", - " 1511899\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers\n", - " 0.631579\n", - " (% of male employment\n", - " male\n", + " GDP (current US$)+5\n", + " 31.129362\n", + " GDP+5\n", + " (current US$)\n", + " None\n", + " total\n", " \n", " \n", - " 1511900\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", - " Wage and salaried workers\n", - " 0.612643\n", - " (% of total employment\n", + " GDP (current US$)+8\n", + " 26.521259\n", + " GDP+8\n", + " (current US$)\n", + " None\n", " total\n", " \n", " \n", - " 1511901\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", - " Water productivity\n", - " 0.391767\n", - " (constant 2015 US$ GDP per cubic meter of tota...\n", + " GDP (current US$)+13\n", + " 12.731623\n", + " GDP+13\n", + " (current US$)\n", + " None\n", " total\n", " \n", " \n", - " 1511902\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", - " Women Business and the Law Index Score\n", - " 1.061404\n", - " (scale 1-100)\n", + " GDP (current US$)+21\n", + " 3.356853\n", + " GDP+21\n", + " (current US$)\n", + " None\n", " total\n", " \n", " \n", "\n", - "

1511903 rows × 7 columns

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1157276 rows × 9 columns

\n", "" ], "text/plain": [ @@ -8561,72 +8311,579 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1511898 CHN 2021 Pair \n", - "1511899 CHN 2021 Pair \n", - "1511900 CHN 2021 Pair \n", - "1511901 CHN 2021 Pair \n", - "1511902 CHN 2021 Pair \n", - "\n", - " Indicator Name 0 \\\n", - "0 Access to clean fuels and technologies for coo... 1.000000 \n", - "1 Access to clean fuels and technologies for coo... 1.000000 \n", - "2 Access to clean fuels and technologies for coo... 1.000000 \n", - "3 Access to electricity 1.000000 \n", - "4 Access to electricity 1.000000 \n", - "... ... ... \n", - "1511898 Wage and salaried workers 0.588267 \n", - "1511899 Wage and salaried workers 0.631579 \n", - "1511900 Wage and salaried workers 0.612643 \n", - "1511901 Water productivity 0.391767 \n", - "1511902 Women Business and the Law Index Score 1.061404 \n", - "\n", - " Units Subgroup \n", - "0 (% of population) total \n", - "1 (% of rural population) rural \n", - "2 (% of urban population) urban \n", - "3 (% of population) total \n", - "4 (% of rural population) rural \n", - "... ... ... \n", - "1511898 (% of female employment female \n", - "1511899 (% of male employment male \n", - "1511900 (% of total employment total \n", - "1511901 (constant 2015 US$ GDP per cubic meter of tota... total \n", - "1511902 (scale 1-100) total \n", - "\n", - "[1511903 rows x 7 columns]" + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity \n", + "4 Access to electricity \n", + "... ... \n", + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", + "\n", + " Units Other specification Subgroup \n", + "0 (% of population) None total \n", + "1 (% of rural population) None rural \n", + "2 (% of urban population) None urban \n", + "3 (% of population) None total \n", + "4 (% of rural population) None rural \n", + "... ... ... ... \n", + "1540358 (current US$) None total \n", + "1540359 (current US$) None total \n", + "1540360 (current US$) None total \n", + "1540361 (current US$) None total \n", + "1540362 (current US$) None total \n", + "\n", + "[1157276 rows x 9 columns]" ] }, - "execution_count": 156, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Categorization" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "------------------------------" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "FROM HERE ON, ADAPT FOR MAKING CORRELATIONS JUST FOR SUBGROUP=TOTAL." + "#Step to remove duplicate variables.\n", + "Categorization2.drop_duplicates(subset=['Country','Year','Short indicator','Continent','Subgroup'], keep='first')" ] }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 53, "metadata": {}, - "outputs": [], - "source": [ - "columns=Goldendataframe.columns.values.tolist()\n", - "clist=Goldendataframe['Country'].unique()\n", + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicatorShort indicatorValueSubgroupUnitsOther specification
0DEU1990EuropeAccess to clean fuels and technologies for coo...Access to clean fuels and technologies for coo...1.000000total(% of population)None
1DEU1990EuropeAccess to clean fuels and technologies for coo...Access to clean fuels and technologies for coo...1.000000rural(% of rural population)None
2DEU1990EuropeAccess to clean fuels and technologies for coo...Access to clean fuels and technologies for coo...1.000000urban(% of urban population)None
3DEU1990EuropeAccess to electricity (% of population)Access to electricity1.000000total(% of population)None
4DEU1990EuropeAccess to electricity, rural (% of rural popul...Access to electricity1.000000rural(% of rural population)None
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1540358CHN2021PairGDP (current US$)+3GDP+338.504955total(current US$)None
1540359CHN2021PairGDP (current US$)+5GDP+531.129362total(current US$)None
1540360CHN2021PairGDP (current US$)+8GDP+826.521259total(current US$)None
1540361CHN2021PairGDP (current US$)+13GDP+1312.731623total(current US$)None
1540362CHN2021PairGDP (current US$)+21GDP+213.356853total(current US$)None
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1372098 rows × 9 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity (% of population) \n", + "4 Access to electricity, rural (% of rural popul... \n", + "... ... \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", + "\n", + " Short indicator Value \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity 1.000000 \n", + "4 Access to electricity 1.000000 \n", + "... ... ... \n", + "1540358 GDP+3 38.504955 \n", + "1540359 GDP+5 31.129362 \n", + "1540360 GDP+8 26.521259 \n", + "1540361 GDP+13 12.731623 \n", + "1540362 GDP+21 3.356853 \n", + "\n", + " Subgroup Units Other specification \n", + "0 total (% of population) None \n", + "1 rural (% of rural population) None \n", + "2 urban (% of urban population) None \n", + "3 total (% of population) None \n", + "4 rural (% of rural population) None \n", + "... ... ... ... \n", + "1540358 total (current US$) None \n", + "1540359 total (current US$) None \n", + "1540360 total (current US$) None \n", + "1540361 total (current US$) None \n", + "1540362 total (current US$) None \n", + "\n", + "[1372098 rows x 9 columns]" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Reordering columns. Categorization3 is our df after all these division in categories.\n", + "Categorization2.rename(columns={Categorization2.columns[4]:'Value'},inplace=True)\n", + "Categorization3=Categorization2[['Country','Year','Continent','Indicator','Short indicator','Value','Subgroup','Units','Other specification']]\n", + "Categorization3" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "------------------------------" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "FROM HERE ON, FOCUS OUR STUDY ON THE INDICATORS AT A FIRST LEVEL, WHERE WE SELECT THOSE SUBGROUP=TOTAL." + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicatorShort indicatorValueSubgroupUnitsOther specification
0DEU1990EuropeAccess to clean fuels and technologies for coo...Access to clean fuels and technologies for coo...1.000000total(% of population)None
3DEU1990EuropeAccess to electricity (% of population)Access to electricity1.000000total(% of population)None
6DEU1990EuropeAccount ownership at a financial institution o...Account ownership at a financial institution o...1.000000total(% of population ages 15+)None
20DEU1990EuropeAdjusted net national income (current US$)Adjusted net national income1.000000total(current US$)None
23DEU1990EuropeAdjusted net national income per capita (curre...Adjusted net national income per capita1.000000total(current US$)None
..............................
1540358CHN2021PairGDP (current US$)+3GDP+338.504955total(current US$)None
1540359CHN2021PairGDP (current US$)+5GDP+531.129362total(current US$)None
1540360CHN2021PairGDP (current US$)+8GDP+826.521259total(current US$)None
1540361CHN2021PairGDP (current US$)+13GDP+1312.731623total(current US$)None
1540362CHN2021PairGDP (current US$)+21GDP+213.356853total(current US$)None
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687830 rows × 9 columns

\n", + "
" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "6 DEU 1990 Europe \n", + "20 DEU 1990 Europe \n", + "23 DEU 1990 Europe \n", + "... ... ... ... \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity (% of population) \n", + "6 Account ownership at a financial institution o... \n", + "20 Adjusted net national income (current US$) \n", + "23 Adjusted net national income per capita (curre... \n", + "... ... \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", + "\n", + " Short indicator Value \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity 1.000000 \n", + "6 Account ownership at a financial institution o... 1.000000 \n", + "20 Adjusted net national income 1.000000 \n", + "23 Adjusted net national income per capita 1.000000 \n", + "... ... ... \n", + "1540358 GDP+3 38.504955 \n", + "1540359 GDP+5 31.129362 \n", + "1540360 GDP+8 26.521259 \n", + "1540361 GDP+13 12.731623 \n", + "1540362 GDP+21 3.356853 \n", + "\n", + " Subgroup Units Other specification \n", + "0 total (% of population) None \n", + "3 total (% of population) None \n", + "6 total (% of population ages 15+) None \n", + "20 total (current US$) None \n", + "23 total (current US$) None \n", + "... ... ... ... \n", + "1540358 total (current US$) None \n", + "1540359 total (current US$) None \n", + "1540360 total (current US$) None \n", + "1540361 total (current US$) None \n", + "1540362 total (current US$) None \n", + "\n", + "[687830 rows x 9 columns]" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Categorization4=Categorization3.loc[Categorization3['Subgroup']=='total']\n", + "Categorization4" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "indicators_list=Categorization4['Indicator'].unique().tolist()" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "columns=indicators_list+['Country','Year','Continent']\n", + "clist=Categorization4['Country'].unique()\n", "common=['Unnamed: 0','Country','Year']" ] }, @@ -8639,7 +8896,7 @@ }, { "cell_type": "code", - "execution_count": 137, + "execution_count": 57, "metadata": {}, "outputs": [], "source": [ @@ -8664,24 +8921,7 @@ }, { "cell_type": "code", - "execution_count": 138, - "metadata": {}, - "outputs": [], - "source": [ - "df= pd.read_csv (os.getcwd()+'/Data/'+'GoldenDataFrame.csv')\n", - "multcolumn(df)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Firstly we are going to create two lists for the variables, which their p-value is under 0.05 for each correlation, so later on, we can calculate only the correlations of those variables." - ] - }, - { - "cell_type": "code", - "execution_count": 139, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -8705,149 +8945,149 @@ " \n", " \n", " \n", - " Unnamed: 0\n", " Country\n", " Year\n", - " Access to clean fuels and technologies for cooking (% of population).l\n", - " Access to clean fuels and technologies for cooking, rural (% of rural population).l\n", - " Access to clean fuels and technologies for cooking, urban (% of urban population).l\n", - " Access to electricity (% of population).l\n", - " Access to electricity, rural (% of rural population).l\n", - " Access to electricity, urban (% of urban population).l\n", - " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+).l\n", + " Access to clean fuels and technologies for cooking (% of population)\n", + " Access to electricity (% of population)\n", + " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + " Adjusted net national income (current US$)\n", + " Adjusted net national income per capita (current US$)\n", + " Adjusted savings: carbon dioxide damage (current US$)\n", + " Adjusted savings: consumption of fixed capital (current US$)\n", + " Adjusted savings: education expenditure (current US$)\n", " ...\n", - " Wage and salaried workers, male (% of male employment) (modeled ILO estimate).log\n", - " Wage and salaried workers, total (% of total employment) (modeled ILO estimate).^2\n", - " Wage and salaried workers, total (% of total employment) (modeled ILO estimate).^3\n", - " Wage and salaried workers, total (% of total employment) (modeled ILO estimate).log\n", - " Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal).^2\n", - " Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal).^3\n", - " Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal).log\n", - " Women Business and the Law Index Score (scale 1-100).^2\n", - " Women Business and the Law Index Score (scale 1-100).^3\n", - " Women Business and the Law Index Score (scale 1-100).log\n", + " Urban population living in areas where elevation is below 5 meters (% of total population)\n", + " Women Business and the Law Index Score (scale 1-100)\n", + " GDP (current US$)+1\n", + " GDP (current US$)+2\n", + " GDP (current US$)+3\n", + " GDP (current US$)+5\n", + " GDP (current US$)+8\n", + " GDP (current US$)+13\n", + " GDP (current US$)+21\n", + " Continent\n", " \n", " \n", " \n", " \n", " 0\n", - " 352\n", " DEU\n", " 1990\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.00000\n", - " ...\n", - " 0.000000\n", " 1.000000\n", " 1.000000\n", - " 0.000000\n", " 1.000000\n", " 1.000000\n", - " 0.000000\n", " 1.000000\n", " 1.000000\n", - " 0.000000\n", + " 1.000000\n", + " 1.000000\n", + " ...\n", + " 1.000000\n", + " 1.000000\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " Europe\n", " \n", " \n", " 1\n", - " 353\n", " DEU\n", " 1991\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.00000\n", - " ...\n", - " 0.000000\n", " 1.000000\n", " 1.000000\n", - " 0.000000\n", " 1.000000\n", + " 1.046360\n", + " 1.038764\n", " 1.000000\n", - " 0.000000\n", + " 1.054581\n", + " 1.047441\n", + " ...\n", + " 0.999209\n", " 1.000000\n", " 1.000000\n", - " 0.000000\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " Europe\n", " \n", " \n", " 2\n", - " 354\n", " DEU\n", " 1992\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.00000\n", - " ...\n", - " -0.005853\n", - " 0.992045\n", - " 0.988091\n", - " -0.003993\n", " 1.000000\n", " 1.000000\n", - " 0.000000\n", " 1.000000\n", + " 1.189340\n", + " 1.171763\n", + " 1.003072\n", + " 1.220571\n", + " 1.193800\n", + " ...\n", + " 0.998418\n", + " 1.000000\n", + " 1.054905\n", " 1.000000\n", - " 0.000000\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " Europe\n", " \n", " \n", " 3\n", - " 355\n", " DEU\n", " 1993\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.00000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.148470\n", + " 1.124083\n", + " 1.033073\n", + " 1.216117\n", + " 1.158604\n", " ...\n", - " -0.009698\n", - " 0.985440\n", - " 0.978240\n", - " -0.007333\n", - " 1.056542\n", - " 1.086001\n", - " 0.027501\n", + " 0.997627\n", " 1.000000\n", + " 1.203142\n", + " 1.054905\n", " 1.000000\n", - " 0.000000\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " Europe\n", " \n", " \n", " 4\n", - " 356\n", " DEU\n", " 1994\n", - " 1.000\n", - " 1.000\n", - " 1.000\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.00000\n", - " ...\n", - " -0.015494\n", - " 0.978858\n", - " 0.968455\n", - " -0.010685\n", - " 1.114639\n", - " 1.176797\n", - " 0.054265\n", " 1.000000\n", " 1.000000\n", - " 0.000000\n", + " 1.000000\n", + " 1.220005\n", + " 1.189964\n", + " 1.064017\n", + " 1.294439\n", + " 1.230977\n", + " ...\n", + " 0.996836\n", + " 1.000000\n", + " 1.169136\n", + " 1.203142\n", + " 1.054905\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " Europe\n", " \n", " \n", " ...\n", @@ -8875,396 +9115,397 @@ " \n", " \n", " 1531\n", - " 251\n", " CHN\n", " 2017\n", - " 0.732\n", - " 0.552\n", - " 0.862\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 0.81755\n", + " 1.742857\n", + " 1.030696\n", + " 1.257169\n", + " 33.119857\n", + " 26.927920\n", + " 12.905776\n", + " 56.996823\n", + " 34.069173\n", " ...\n", - " -0.497744\n", - " 0.349477\n", - " 0.206599\n", - " -0.525659\n", - " 0.153482\n", - " 0.060129\n", - " -0.937087\n", - " 1.126577\n", - " 1.195753\n", - " 0.059592\n", + " 1.362819\n", + " 1.273684\n", + " 31.129362\n", + " 30.653486\n", + " 29.029938\n", + " 23.644292\n", + " 14.137706\n", + " 5.418606\n", + " 2.393592\n", + " Pair\n", " \n", " \n", " 1532\n", - " 252\n", " CHN\n", " 2018\n", - " 0.756\n", - " 0.590\n", - " 0.874\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 0.81755\n", + " 1.800000\n", + " 1.030696\n", + " 1.257169\n", + " 36.984833\n", + " 29.930015\n", + " 13.928500\n", + " 65.494055\n", + " 38.276891\n", " ...\n", - " -0.479996\n", - " 0.361223\n", - " 0.217102\n", - " -0.509130\n", - " 0.153482\n", - " 0.060129\n", - " -0.937087\n", - " 1.126577\n", - " 1.195753\n", - " 0.059592\n", + " 1.362819\n", + " 1.273684\n", + " 34.114284\n", + " 31.129362\n", + " 30.653486\n", + " 26.521259\n", + " 16.868589\n", + " 6.334809\n", + " 2.664772\n", + " Pair\n", " \n", " \n", " 1533\n", - " 253\n", " CHN\n", " 2019\n", - " 0.776\n", - " 0.619\n", - " 0.884\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 0.81755\n", + " 1.847619\n", + " 1.030696\n", + " 1.257169\n", + " 38.098179\n", + " 30.721815\n", + " 14.847484\n", + " 68.294754\n", + " 39.457335\n", " ...\n", - " -0.459532\n", - " 0.375331\n", - " 0.229944\n", - " -0.489974\n", - " 0.153482\n", - " 0.060129\n", - " -0.937087\n", - " 1.126577\n", - " 1.195753\n", - " 0.059592\n", + " 1.362819\n", + " 1.273684\n", + " 38.504955\n", + " 34.114284\n", + " 31.129362\n", + " 29.029938\n", + " 20.926519\n", + " 7.626636\n", + " 2.851657\n", + " Pair\n", " \n", " \n", " 1534\n", - " 254\n", " CHN\n", " 2020\n", - " 0.794\n", - " 0.652\n", - " 0.894\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 0.81755\n", + " 1.890476\n", + " 1.030696\n", + " 1.257169\n", + " 38.098179\n", + " 30.721815\n", + " 14.847484\n", + " 68.294754\n", + " 39.457335\n", " ...\n", - " -0.459532\n", - " 0.375331\n", - " 0.229944\n", - " -0.489974\n", - " 0.153482\n", - " 0.060129\n", - " -0.937087\n", - " 1.126577\n", - " 1.195753\n", - " 0.059592\n", + " 1.362819\n", + " 1.273684\n", + " 39.572189\n", + " 38.504955\n", + " 34.114284\n", + " 30.653486\n", + " 23.644292\n", + " 9.838617\n", + " 3.031657\n", + " Pair\n", " \n", " \n", " 1535\n", - " 255\n", " CHN\n", " 2021\n", - " 0.794\n", - " 0.652\n", - " 0.894\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 0.81755\n", - " ...\n", - " -0.459532\n", - " 0.375331\n", - " 0.229944\n", - " -0.489974\n", - " 0.153482\n", - " 0.060129\n", - " -0.937087\n", - " 1.126577\n", - " 1.195753\n", - " 0.059592\n", + " 1.890476\n", + " 1.030696\n", + " 1.257169\n", + " 38.098179\n", + " 30.721815\n", + " 14.847484\n", + " 68.294754\n", + " 39.457335\n", + " ...\n", + " 1.362819\n", + " 1.273684\n", + " 40.799246\n", + " 39.572189\n", + " 38.504955\n", + " 31.129362\n", + " 26.521259\n", + " 12.731623\n", + " 3.356853\n", + " Pair\n", " \n", " \n", "\n", - "

1536 rows × 4236 columns

\n", + "

1536 rows × 480 columns

\n", "" ], "text/plain": [ - " Unnamed: 0 Country Year \\\n", - "0 352 DEU 1990 \n", - "1 353 DEU 1991 \n", - "2 354 DEU 1992 \n", - "3 355 DEU 1993 \n", - "4 356 DEU 1994 \n", - "... ... ... ... \n", - "1531 251 CHN 2017 \n", - "1532 252 CHN 2018 \n", - "1533 253 CHN 2019 \n", - "1534 254 CHN 2020 \n", - "1535 255 CHN 2021 \n", - "\n", - " Access to clean fuels and technologies for cooking (% of population).l \\\n", - "0 1.000 \n", - "1 1.000 \n", - "2 1.000 \n", - "3 1.000 \n", - "4 1.000 \n", - "... ... \n", - "1531 0.732 \n", - "1532 0.756 \n", - "1533 0.776 \n", - "1534 0.794 \n", - "1535 0.794 \n", - "\n", - " Access to clean fuels and technologies for cooking, rural (% of rural population).l \\\n", - "0 1.000 \n", - "1 1.000 \n", - "2 1.000 \n", - "3 1.000 \n", - "4 1.000 \n", - "... ... \n", - "1531 0.552 \n", - "1532 0.590 \n", - "1533 0.619 \n", - "1534 0.652 \n", - "1535 0.652 \n", - "\n", - " Access to clean fuels and technologies for cooking, urban (% of urban population).l \\\n", - "0 1.000 \n", - "1 1.000 \n", - "2 1.000 \n", - "3 1.000 \n", - "4 1.000 \n", - "... ... \n", - "1531 0.862 \n", - "1532 0.874 \n", - "1533 0.884 \n", - "1534 0.894 \n", - "1535 0.894 \n", - "\n", - " Access to electricity (% of population).l \\\n", - "0 1.0 \n", - "1 1.0 \n", - "2 1.0 \n", - "3 1.0 \n", - "4 1.0 \n", - "... ... \n", - "1531 1.0 \n", - "1532 1.0 \n", - "1533 1.0 \n", - "1534 1.0 \n", - "1535 1.0 \n", - "\n", - " Access to electricity, rural (% of rural population).l \\\n", - "0 1.0 \n", - "1 1.0 \n", - "2 1.0 \n", - "3 1.0 \n", - "4 1.0 \n", - "... ... \n", - "1531 1.0 \n", - "1532 1.0 \n", - "1533 1.0 \n", - "1534 1.0 \n", - "1535 1.0 \n", - "\n", - " Access to electricity, urban (% of urban population).l \\\n", - "0 1.0 \n", - "1 1.0 \n", - "2 1.0 \n", - "3 1.0 \n", - "4 1.0 \n", - "... ... \n", - "1531 1.0 \n", - "1532 1.0 \n", - "1533 1.0 \n", - "1534 1.0 \n", - "1535 1.0 \n", - "\n", - " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+).l \\\n", - "0 1.00000 \n", - "1 1.00000 \n", - "2 1.00000 \n", - "3 1.00000 \n", - "4 1.00000 \n", - "... ... \n", - "1531 0.81755 \n", - "1532 0.81755 \n", - "1533 0.81755 \n", - "1534 0.81755 \n", - "1535 0.81755 \n", - "\n", - " ... \\\n", - "0 ... \n", - "1 ... \n", - "2 ... \n", - "3 ... \n", - "4 ... \n", - "... ... \n", - "1531 ... \n", - "1532 ... \n", - "1533 ... \n", - "1534 ... \n", - "1535 ... \n", - "\n", - " Wage and salaried workers, male (% of male employment) (modeled ILO estimate).log \\\n", - "0 0.000000 \n", - "1 0.000000 \n", - "2 -0.005853 \n", - "3 -0.009698 \n", - "4 -0.015494 \n", - "... ... \n", - "1531 -0.497744 \n", - "1532 -0.479996 \n", - "1533 -0.459532 \n", - "1534 -0.459532 \n", - "1535 -0.459532 \n", - "\n", - " Wage and salaried workers, total (% of total employment) (modeled ILO estimate).^2 \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 0.992045 \n", - "3 0.985440 \n", - "4 0.978858 \n", - "... ... \n", - "1531 0.349477 \n", - "1532 0.361223 \n", - "1533 0.375331 \n", - "1534 0.375331 \n", - "1535 0.375331 \n", - "\n", - " Wage and salaried workers, total (% of total employment) (modeled ILO estimate).^3 \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 0.988091 \n", - "3 0.978240 \n", - "4 0.968455 \n", - "... ... \n", - "1531 0.206599 \n", - "1532 0.217102 \n", - "1533 0.229944 \n", - "1534 0.229944 \n", - "1535 0.229944 \n", - "\n", - " Wage and salaried workers, total (% of total employment) (modeled ILO estimate).log \\\n", - "0 0.000000 \n", - "1 0.000000 \n", - "2 -0.003993 \n", - "3 -0.007333 \n", - "4 -0.010685 \n", - "... ... \n", - "1531 -0.525659 \n", - "1532 -0.509130 \n", - "1533 -0.489974 \n", - "1534 -0.489974 \n", - "1535 -0.489974 \n", - "\n", - " Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal).^2 \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.000000 \n", - "3 1.056542 \n", - "4 1.114639 \n", - "... 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1.126577 \n", - "1532 1.126577 \n", - "1533 1.126577 \n", - "1534 1.126577 \n", - "1535 1.126577 \n", - "\n", - " Women Business and the Law Index Score (scale 1-100).^3 \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.000000 \n", - "3 1.000000 \n", - "4 1.000000 \n", - "... ... \n", - "1531 1.195753 \n", - "1532 1.195753 \n", - "1533 1.195753 \n", - "1534 1.195753 \n", - "1535 1.195753 \n", - "\n", - " Women Business and the Law Index Score (scale 1-100).log \n", - "0 0.000000 \n", - "1 0.000000 \n", - "2 0.000000 \n", - "3 0.000000 \n", - "4 0.000000 \n", - "... ... \n", - "1531 0.059592 \n", - "1532 0.059592 \n", - "1533 0.059592 \n", - "1534 0.059592 \n", - "1535 0.059592 \n", - "\n", - "[1536 rows x 4236 columns]" + " Country Year \\\n", + "0 DEU 1990 \n", + "1 DEU 1991 \n", + "2 DEU 1992 \n", + "3 DEU 1993 \n", + "4 DEU 1994 \n", + "... ... ... \n", + "1531 CHN 2017 \n", + "1532 CHN 2018 \n", + "1533 CHN 2019 \n", + "1534 CHN 2020 \n", + "1535 CHN 2021 \n", + "\n", + " Access to clean fuels and technologies for cooking (% of population) \\\n", + "0 1.000000 \n", + "1 1.000000 \n", + "2 1.000000 \n", + "3 1.000000 \n", + "4 1.000000 \n", + "... ... \n", + "1531 1.742857 \n", + "1532 1.800000 \n", + "1533 1.847619 \n", + "1534 1.890476 \n", + "1535 1.890476 \n", + "\n", + " Access to electricity (% of population) \\\n", + "0 1.000000 \n", + "1 1.000000 \n", + "2 1.000000 \n", + "3 1.000000 \n", + "4 1.000000 \n", + "... ... \n", + "1531 1.030696 \n", + "1532 1.030696 \n", + "1533 1.030696 \n", + "1534 1.030696 \n", + "1535 1.030696 \n", + "\n", + " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "0 1.000000 \n", + "1 1.000000 \n", + "2 1.000000 \n", + "3 1.000000 \n", + "4 1.000000 \n", + "... ... \n", + "1531 1.257169 \n", + "1532 1.257169 \n", + "1533 1.257169 \n", + "1534 1.257169 \n", + "1535 1.257169 \n", + "\n", + " Adjusted net national income (current US$) \\\n", + "0 1.000000 \n", + "1 1.046360 \n", + "2 1.189340 \n", + "3 1.148470 \n", + "4 1.220005 \n", + "... ... \n", + "1531 33.119857 \n", + "1532 36.984833 \n", + "1533 38.098179 \n", + "1534 38.098179 \n", + "1535 38.098179 \n", + "\n", + " Adjusted net national income per capita (current US$) \\\n", + "0 1.000000 \n", + "1 1.038764 \n", + "2 1.171763 \n", + "3 1.124083 \n", + "4 1.189964 \n", + "... ... \n", + "1531 26.927920 \n", + "1532 29.930015 \n", + "1533 30.721815 \n", + "1534 30.721815 \n", + "1535 30.721815 \n", + "\n", + " Adjusted savings: carbon dioxide damage (current US$) \\\n", + "0 1.000000 \n", + "1 1.000000 \n", + "2 1.003072 \n", + "3 1.033073 \n", + "4 1.064017 \n", + "... ... \n", + "1531 12.905776 \n", + "1532 13.928500 \n", + "1533 14.847484 \n", + "1534 14.847484 \n", + "1535 14.847484 \n", + "\n", + " Adjusted savings: consumption of fixed capital (current US$) \\\n", + "0 1.000000 \n", + "1 1.054581 \n", + "2 1.220571 \n", + "3 1.216117 \n", + "4 1.294439 \n", + "... ... \n", + "1531 56.996823 \n", + "1532 65.494055 \n", + "1533 68.294754 \n", + "1534 68.294754 \n", + "1535 68.294754 \n", + "\n", + " Adjusted savings: education expenditure (current US$) ... \\\n", + "0 1.000000 ... \n", + "1 1.047441 ... \n", + "2 1.193800 ... \n", + "3 1.158604 ... \n", + "4 1.230977 ... \n", + "... ... ... \n", + "1531 34.069173 ... \n", + "1532 38.276891 ... \n", + "1533 39.457335 ... \n", + "1534 39.457335 ... \n", + "1535 39.457335 ... \n", + "\n", + " Urban population living in areas where elevation is below 5 meters (% of total population) \\\n", + "0 1.000000 \n", + "1 0.999209 \n", + "2 0.998418 \n", + "3 0.997627 \n", + "4 0.996836 \n", + "... ... \n", + "1531 1.362819 \n", + "1532 1.362819 \n", + "1533 1.362819 \n", + "1534 1.362819 \n", + "1535 1.362819 \n", + "\n", + " Women Business and the Law Index Score (scale 1-100) \\\n", + "0 1.000000 \n", + "1 1.000000 \n", + "2 1.000000 \n", + "3 1.000000 \n", + "4 1.000000 \n", + "... ... \n", + "1531 1.273684 \n", + "1532 1.273684 \n", + "1533 1.273684 \n", + "1534 1.273684 \n", + "1535 1.273684 \n", + "\n", + " GDP (current US$)+1 GDP (current US$)+2 GDP (current US$)+3 \\\n", + "0 NaN NaN NaN \n", + "1 1.000000 NaN NaN \n", + "2 1.054905 1.000000 NaN \n", + "3 1.203142 1.054905 1.000000 \n", + "4 1.169136 1.203142 1.054905 \n", + "... ... ... ... \n", + "1531 31.129362 30.653486 29.029938 \n", + "1532 34.114284 31.129362 30.653486 \n", + "1533 38.504955 34.114284 31.129362 \n", + "1534 39.572189 38.504955 34.114284 \n", + "1535 40.799246 39.572189 38.504955 \n", + "\n", + " GDP (current US$)+5 GDP (current US$)+8 GDP (current US$)+13 \\\n", + "0 NaN NaN NaN \n", + "1 NaN NaN NaN \n", + "2 NaN NaN NaN \n", + "3 NaN NaN NaN \n", + "4 NaN NaN NaN \n", + "... ... ... ... \n", + "1531 23.644292 14.137706 5.418606 \n", + "1532 26.521259 16.868589 6.334809 \n", + "1533 29.029938 20.926519 7.626636 \n", + "1534 30.653486 23.644292 9.838617 \n", + "1535 31.129362 26.521259 12.731623 \n", + "\n", + " GDP (current US$)+21 Continent \n", + "0 NaN Europe \n", + "1 NaN Europe \n", + "2 NaN Europe \n", + "3 NaN Europe \n", + "4 NaN Europe \n", + "... ... ... \n", + "1531 2.393592 Pair \n", + "1532 2.664772 Pair \n", + "1533 2.851657 Pair \n", + "1534 3.031657 Pair \n", + "1535 3.356853 Pair \n", + "\n", + "[1536 rows x 480 columns]" ] }, - "execution_count": 139, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df" + "df= pd.read_csv (os.getcwd()+'/Data/'+'GoldenDataFrame.csv')\n", + "df_study=df[[c for c in df.columns if c in columns]]\n", + "df_study\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Firstly we are going to create two lists for the variables, which their p-value is under 0.05 for each correlation, so later on, we can calculate only the correlations of those variables." ] }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 61, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "TypeError", + "evalue": "unsupported operand type(s) for ** or pow(): 'str' and 'int'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:163\u001b[0m, in \u001b[0;36m_na_arithmetic_op\u001b[1;34m(left, right, op, is_cmp)\u001b[0m\n\u001b[0;32m 162\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 163\u001b[0m result \u001b[39m=\u001b[39m func(left, right)\n\u001b[0;32m 164\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mTypeError\u001b[39;00m:\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\computation\\expressions.py:239\u001b[0m, in \u001b[0;36mevaluate\u001b[1;34m(op, a, b, use_numexpr)\u001b[0m\n\u001b[0;32m 237\u001b[0m \u001b[39mif\u001b[39;00m use_numexpr:\n\u001b[0;32m 238\u001b[0m \u001b[39m# error: \"None\" not callable\u001b[39;00m\n\u001b[1;32m--> 239\u001b[0m \u001b[39mreturn\u001b[39;00m _evaluate(op, op_str, a, b) \u001b[39m# type: ignore[misc]\u001b[39;00m\n\u001b[0;32m 240\u001b[0m \u001b[39mreturn\u001b[39;00m _evaluate_standard(op, op_str, a, b)\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\computation\\expressions.py:69\u001b[0m, in \u001b[0;36m_evaluate_standard\u001b[1;34m(op, op_str, a, b)\u001b[0m\n\u001b[0;32m 68\u001b[0m _store_test_result(\u001b[39mFalse\u001b[39;00m)\n\u001b[1;32m---> 69\u001b[0m \u001b[39mreturn\u001b[39;00m op(a, b)\n", + "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for ** or pow(): 'str' and 'int'", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 100\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m multcolumn(df_study)\n", + "\u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 100\u001b[0m in \u001b[0;36mmultcolumn\u001b[1;34m(frame)\u001b[0m\n\u001b[0;32m 5\u001b[0m name3\u001b[39m=\u001b[39mcolumns[u]\u001b[39m+\u001b[39m\u001b[39m'\u001b[39m\u001b[39m.^3\u001b[39m\u001b[39m'\u001b[39m\n\u001b[0;32m 6\u001b[0m namelog\u001b[39m=\u001b[39mcolumns[u]\u001b[39m+\u001b[39m\u001b[39m'\u001b[39m\u001b[39m.log\u001b[39m\u001b[39m'\u001b[39m\n\u001b[1;32m----> 7\u001b[0m frame\u001b[39m.\u001b[39mloc[:,name2] \u001b[39m=\u001b[39m frame[columns[u]]\u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49m\u001b[39m2\u001b[39;49m\n\u001b[0;32m 8\u001b[0m frame\u001b[39m.\u001b[39mloc[:,name3] \u001b[39m=\u001b[39m frame[columns[u]]\u001b[39m*\u001b[39m\u001b[39m*\u001b[39m\u001b[39m3\u001b[39m\n\u001b[0;32m 9\u001b[0m frame\u001b[39m.\u001b[39mloc[:,namelog] \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mlog(frame[columns[u]])\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\ops\\common.py:70\u001b[0m, in \u001b[0;36m_unpack_zerodim_and_defer..new_method\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m 66\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mNotImplemented\u001b[39m\n\u001b[0;32m 68\u001b[0m other \u001b[39m=\u001b[39m item_from_zerodim(other)\n\u001b[1;32m---> 70\u001b[0m \u001b[39mreturn\u001b[39;00m method(\u001b[39mself\u001b[39;49m, other)\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\arraylike.py:156\u001b[0m, in \u001b[0;36mOpsMixin.__pow__\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m 154\u001b[0m \u001b[39m@unpack_zerodim_and_defer\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39m__pow__\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m 155\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__pow__\u001b[39m(\u001b[39mself\u001b[39m, other):\n\u001b[1;32m--> 156\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_arith_method(other, operator\u001b[39m.\u001b[39;49mpow)\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\series.py:5639\u001b[0m, in \u001b[0;36mSeries._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m 5637\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_arith_method\u001b[39m(\u001b[39mself\u001b[39m, other, op):\n\u001b[0;32m 5638\u001b[0m \u001b[39mself\u001b[39m, other \u001b[39m=\u001b[39m ops\u001b[39m.\u001b[39malign_method_SERIES(\u001b[39mself\u001b[39m, other)\n\u001b[1;32m-> 5639\u001b[0m \u001b[39mreturn\u001b[39;00m base\u001b[39m.\u001b[39;49mIndexOpsMixin\u001b[39m.\u001b[39;49m_arith_method(\u001b[39mself\u001b[39;49m, other, op)\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\base.py:1295\u001b[0m, in \u001b[0;36mIndexOpsMixin._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m 1292\u001b[0m rvalues \u001b[39m=\u001b[39m ensure_wrapped_if_datetimelike(rvalues)\n\u001b[0;32m 1294\u001b[0m \u001b[39mwith\u001b[39;00m np\u001b[39m.\u001b[39merrstate(\u001b[39mall\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mignore\u001b[39m\u001b[39m\"\u001b[39m):\n\u001b[1;32m-> 1295\u001b[0m result \u001b[39m=\u001b[39m ops\u001b[39m.\u001b[39;49marithmetic_op(lvalues, rvalues, op)\n\u001b[0;32m 1297\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_construct_result(result, name\u001b[39m=\u001b[39mres_name)\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:222\u001b[0m, in \u001b[0;36marithmetic_op\u001b[1;34m(left, right, op)\u001b[0m\n\u001b[0;32m 217\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 218\u001b[0m \u001b[39m# TODO we should handle EAs consistently and move this check before the if/else\u001b[39;00m\n\u001b[0;32m 219\u001b[0m \u001b[39m# (https://github.com/pandas-dev/pandas/issues/41165)\u001b[39;00m\n\u001b[0;32m 220\u001b[0m _bool_arith_check(op, left, right)\n\u001b[1;32m--> 222\u001b[0m res_values \u001b[39m=\u001b[39m _na_arithmetic_op(left, right, op)\n\u001b[0;32m 224\u001b[0m \u001b[39mreturn\u001b[39;00m res_values\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:170\u001b[0m, in \u001b[0;36m_na_arithmetic_op\u001b[1;34m(left, right, op, is_cmp)\u001b[0m\n\u001b[0;32m 164\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mTypeError\u001b[39;00m:\n\u001b[0;32m 165\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m is_cmp \u001b[39mand\u001b[39;00m (is_object_dtype(left\u001b[39m.\u001b[39mdtype) \u001b[39mor\u001b[39;00m is_object_dtype(right)):\n\u001b[0;32m 166\u001b[0m \u001b[39m# For object dtype, fallback to a masked operation (only operating\u001b[39;00m\n\u001b[0;32m 167\u001b[0m \u001b[39m# on the non-missing values)\u001b[39;00m\n\u001b[0;32m 168\u001b[0m \u001b[39m# Don't do this for comparisons, as that will handle complex numbers\u001b[39;00m\n\u001b[0;32m 169\u001b[0m \u001b[39m# incorrectly, see GH#32047\u001b[39;00m\n\u001b[1;32m--> 170\u001b[0m result \u001b[39m=\u001b[39m _masked_arith_op(left, right, op)\n\u001b[0;32m 171\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 172\u001b[0m \u001b[39mraise\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:127\u001b[0m, in \u001b[0;36m_masked_arith_op\u001b[1;34m(x, y, op)\u001b[0m\n\u001b[0;32m 124\u001b[0m mask \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mwhere(y \u001b[39m==\u001b[39m \u001b[39m1\u001b[39m, \u001b[39mFalse\u001b[39;00m, mask)\n\u001b[0;32m 126\u001b[0m \u001b[39mif\u001b[39;00m mask\u001b[39m.\u001b[39many():\n\u001b[1;32m--> 127\u001b[0m result[mask] \u001b[39m=\u001b[39m op(xrav[mask], y)\n\u001b[0;32m 129\u001b[0m np\u001b[39m.\u001b[39mputmask(result, \u001b[39m~\u001b[39mmask, np\u001b[39m.\u001b[39mnan)\n\u001b[0;32m 130\u001b[0m result \u001b[39m=\u001b[39m result\u001b[39m.\u001b[39mreshape(x\u001b[39m.\u001b[39mshape) \u001b[39m# 2D compat\u001b[39;00m\n", + "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for ** or pow(): 'str' and 'int'" + ] + } + ], + "source": [ + "multcolumn(df_study)" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "ename": "KeyError", + "evalue": "'GDP (current US$).l'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3621\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 3620\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m-> 3621\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_engine\u001b[39m.\u001b[39;49mget_loc(casted_key)\n\u001b[0;32m 3622\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m \u001b[39mas\u001b[39;00m err:\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\_libs\\index.pyx:136\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\_libs\\index.pyx:163\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", + "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5198\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", + "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5206\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", + "\u001b[1;31mKeyError\u001b[0m: 'GDP (current US$).l'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 101\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 10\u001b[0m \u001b[39mfor\u001b[39;00m u \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(\u001b[39m0\u001b[39m,\u001b[39mlen\u001b[39m(pilares)):\n\u001b[0;32m 11\u001b[0m \u001b[39mif\u001b[39;00m is_numeric_dtype(dat[pilares[u]]):\n\u001b[1;32m---> 12\u001b[0m correlation, pvalue\u001b[39m=\u001b[39mpearsonr(dat[pilares[u]], dat[\u001b[39m'\u001b[39;49m\u001b[39mGDP (current US$).l\u001b[39;49m\u001b[39m'\u001b[39;49m])\n\u001b[0;32m 13\u001b[0m \u001b[39mif\u001b[39;00m pvalue\u001b[39m<\u001b[39m\u001b[39m=\u001b[39m\u001b[39m0.05\u001b[39m:\n\u001b[0;32m 14\u001b[0m listacorpe\u001b[39m.\u001b[39mappend(pilares[u])\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\frame.py:3505\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 3503\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcolumns\u001b[39m.\u001b[39mnlevels \u001b[39m>\u001b[39m \u001b[39m1\u001b[39m:\n\u001b[0;32m 3504\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_getitem_multilevel(key)\n\u001b[1;32m-> 3505\u001b[0m indexer \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcolumns\u001b[39m.\u001b[39;49mget_loc(key)\n\u001b[0;32m 3506\u001b[0m \u001b[39mif\u001b[39;00m is_integer(indexer):\n\u001b[0;32m 3507\u001b[0m indexer \u001b[39m=\u001b[39m [indexer]\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3623\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 3621\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_engine\u001b[39m.\u001b[39mget_loc(casted_key)\n\u001b[0;32m 3622\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m \u001b[39mas\u001b[39;00m err:\n\u001b[1;32m-> 3623\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mKeyError\u001b[39;00m(key) \u001b[39mfrom\u001b[39;00m \u001b[39merr\u001b[39;00m\n\u001b[0;32m 3624\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mTypeError\u001b[39;00m:\n\u001b[0;32m 3625\u001b[0m \u001b[39m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[0;32m 3626\u001b[0m \u001b[39m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[0;32m 3627\u001b[0m \u001b[39m# the TypeError.\u001b[39;00m\n\u001b[0;32m 3628\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_check_indexing_error(key)\n", + "\u001b[1;31mKeyError\u001b[0m: 'GDP (current US$).l'" + ] + } + ], "source": [ - "dat=df.loc[df.loc[:, 'Country'] == clist[0]]\n", + "dat=df_study.loc[df_study.loc[:, 'Country'] == clist[0]]\n", "listacorpe=[]\n", "listacorsp=[]\n", "clmns=dat.columns.values.tolist()\n", @@ -9298,11 +9539,11 @@ }, { "cell_type": "code", - "execution_count": 140, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "dat=df.loc[df.loc[:, 'Country'] == clist[0]]\n", + "dat=df_study.loc[df_study.loc[:, 'Country'] == clist[0]]\n", "\n", "datp=dat[dat.columns[dat.columns.isin(listacorpe)]]\n", "corp=datp.corr('pearson')\n", @@ -9320,7 +9561,7 @@ }, { "cell_type": "code", - "execution_count": 141, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9338,7 +9579,7 @@ }, { "cell_type": "code", - "execution_count": 142, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9358,7 +9599,7 @@ }, { "cell_type": "code", - "execution_count": 143, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9378,7 +9619,7 @@ }, { "cell_type": "code", - "execution_count": 144, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9400,7 +9641,7 @@ }, { "cell_type": "code", - "execution_count": 145, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9422,7 +9663,7 @@ }, { "cell_type": "code", - "execution_count": 146, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9449,7 +9690,7 @@ }, { "cell_type": "code", - "execution_count": 147, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9467,7 +9708,7 @@ }, { "cell_type": "code", - "execution_count": 149, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -9642,7 +9883,7 @@ "pearsondf\n", "spearmandf\n", "for i in range(1,len(clist)):\n", - " dat=df.loc[df.loc[:, 'Country'] == clist[i]]\n", + " dat=df_study.loc[df_study.loc[:, 'Country'] == clist[i]]\n", " listacorpe=[]\n", " listacorsp=[]\n", " clmns=dat.columns.values.tolist()\n", @@ -9736,7 +9977,7 @@ }, { "cell_type": "code", - "execution_count": 150, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9746,7 +9987,7 @@ }, { "cell_type": "code", - "execution_count": 151, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -9900,7 +10141,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -13540,7 +13781,7 @@ }, "vscode": { "interpreter": { - "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" + "hash": "292912297167048338b5d1136ec8c661b8a2f1d3fcecd6650d637809a967c218" } } }, From 76e8b5124d2fa9c72a899f114ceff4c0d9c79c99 Mon Sep 17 00:00:00 2001 From: Mferna38 Date: Tue, 26 Jul 2022 13:00:18 +0200 Subject: [PATCH 25/86] Review --- WDI-Complete code.ipynb | 802 ++++------------------------------------ 1 file changed, 74 insertions(+), 728 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index afb0ee5..4ad4973 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -8896,12 +8896,12 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 62, "metadata": {}, "outputs": [], "source": [ "def multcolumn(frame):\n", - " for u in range(2, len(columns)-1):\n", + " for u in range(0, len(columns)-3):\n", " name=columns[u]+'.l'\n", " name2=columns[u]+'.^2'\n", " name3=columns[u]+'.^3'\n", @@ -8921,510 +8921,27 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 77, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "
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0DEU19901.0000001.0000001.0000001.0000001.0000001.0000001.0000001.000000...1.0000001.000000NaNNaNNaNNaNNaNNaNNaNEurope
1DEU19911.0000001.0000001.0000001.0463601.0387641.0000001.0545811.047441...0.9992091.0000001.000000NaNNaNNaNNaNNaNNaNEurope
2DEU19921.0000001.0000001.0000001.1893401.1717631.0030721.2205711.193800...0.9984181.0000001.0549051.000000NaNNaNNaNNaNNaNEurope
3DEU19931.0000001.0000001.0000001.1484701.1240831.0330731.2161171.158604...0.9976271.0000001.2031421.0549051.000000NaNNaNNaNNaNEurope
4DEU19941.0000001.0000001.0000001.2200051.1899641.0640171.2944391.230977...0.9968361.0000001.1691361.2031421.054905NaNNaNNaNNaNEurope
..................................................................
1531CHN20171.7428571.0306961.25716933.11985726.92792012.90577656.99682334.069173...1.3628191.27368431.12936230.65348629.02993823.64429214.1377065.4186062.393592Pair
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1533CHN20191.8476191.0306961.25716938.09817930.72181514.84748468.29475439.457335...1.3628191.27368438.50495534.11428431.12936229.02993820.9265197.6266362.851657Pair
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1536 rows × 480 columns

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" - ], "text/plain": [ - " Country Year \\\n", - "0 DEU 1990 \n", - "1 DEU 1991 \n", - "2 DEU 1992 \n", - "3 DEU 1993 \n", - "4 DEU 1994 \n", - "... ... ... \n", - "1531 CHN 2017 \n", - "1532 CHN 2018 \n", - "1533 CHN 2019 \n", - "1534 CHN 2020 \n", - "1535 CHN 2021 \n", - "\n", - " Access to clean fuels and technologies for cooking (% of population) \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.000000 \n", - "3 1.000000 \n", - "4 1.000000 \n", - "... ... \n", - "1531 1.742857 \n", - "1532 1.800000 \n", - "1533 1.847619 \n", - "1534 1.890476 \n", - "1535 1.890476 \n", - "\n", - " Access to electricity (% of population) \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.000000 \n", - "3 1.000000 \n", - "4 1.000000 \n", - "... ... \n", - "1531 1.030696 \n", - "1532 1.030696 \n", - "1533 1.030696 \n", - "1534 1.030696 \n", - "1535 1.030696 \n", - "\n", - " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.000000 \n", - "3 1.000000 \n", - "4 1.000000 \n", - "... ... \n", - "1531 1.257169 \n", - "1532 1.257169 \n", - "1533 1.257169 \n", - "1534 1.257169 \n", - "1535 1.257169 \n", - "\n", - " Adjusted net national income (current US$) \\\n", - "0 1.000000 \n", - "1 1.046360 \n", - "2 1.189340 \n", - "3 1.148470 \n", - "4 1.220005 \n", - "... ... \n", - "1531 33.119857 \n", - "1532 36.984833 \n", - "1533 38.098179 \n", - "1534 38.098179 \n", - "1535 38.098179 \n", - "\n", - " Adjusted net national income per capita (current US$) \\\n", - "0 1.000000 \n", - "1 1.038764 \n", - "2 1.171763 \n", - "3 1.124083 \n", - "4 1.189964 \n", - "... ... \n", - "1531 26.927920 \n", - "1532 29.930015 \n", - "1533 30.721815 \n", - "1534 30.721815 \n", - "1535 30.721815 \n", - "\n", - " Adjusted savings: carbon dioxide damage (current US$) \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.003072 \n", - "3 1.033073 \n", - "4 1.064017 \n", - "... ... \n", - "1531 12.905776 \n", - "1532 13.928500 \n", - "1533 14.847484 \n", - "1534 14.847484 \n", - "1535 14.847484 \n", - "\n", - " Adjusted savings: consumption of fixed capital (current US$) \\\n", - "0 1.000000 \n", - "1 1.054581 \n", - "2 1.220571 \n", - "3 1.216117 \n", - "4 1.294439 \n", - "... ... \n", - "1531 56.996823 \n", - "1532 65.494055 \n", - "1533 68.294754 \n", - "1534 68.294754 \n", - "1535 68.294754 \n", - "\n", - " Adjusted savings: education expenditure (current US$) ... \\\n", - "0 1.000000 ... \n", - "1 1.047441 ... \n", - "2 1.193800 ... \n", - "3 1.158604 ... \n", - "4 1.230977 ... \n", - "... ... ... \n", - "1531 34.069173 ... \n", - "1532 38.276891 ... \n", - "1533 39.457335 ... \n", - "1534 39.457335 ... \n", - "1535 39.457335 ... \n", - "\n", - " Urban population living in areas where elevation is below 5 meters (% of total population) \\\n", - "0 1.000000 \n", - "1 0.999209 \n", - "2 0.998418 \n", - "3 0.997627 \n", - "4 0.996836 \n", - "... ... \n", - "1531 1.362819 \n", - "1532 1.362819 \n", - "1533 1.362819 \n", - "1534 1.362819 \n", - "1535 1.362819 \n", - "\n", - " Women Business and the Law Index Score (scale 1-100) \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.000000 \n", - "3 1.000000 \n", - "4 1.000000 \n", - "... ... \n", - "1531 1.273684 \n", - "1532 1.273684 \n", - "1533 1.273684 \n", - "1534 1.273684 \n", - "1535 1.273684 \n", - "\n", - " GDP (current US$)+1 GDP (current US$)+2 GDP (current US$)+3 \\\n", - "0 NaN NaN NaN \n", - "1 1.000000 NaN NaN \n", - "2 1.054905 1.000000 NaN \n", - "3 1.203142 1.054905 1.000000 \n", - "4 1.169136 1.203142 1.054905 \n", - "... ... ... ... \n", - "1531 31.129362 30.653486 29.029938 \n", - "1532 34.114284 31.129362 30.653486 \n", - "1533 38.504955 34.114284 31.129362 \n", - "1534 39.572189 38.504955 34.114284 \n", - "1535 40.799246 39.572189 38.504955 \n", - "\n", - " GDP (current US$)+5 GDP (current US$)+8 GDP (current US$)+13 \\\n", - "0 NaN NaN NaN \n", - "1 NaN NaN NaN \n", - "2 NaN NaN NaN \n", - "3 NaN NaN NaN \n", - "4 NaN NaN NaN \n", - "... ... ... ... \n", - "1531 23.644292 14.137706 5.418606 \n", - "1532 26.521259 16.868589 6.334809 \n", - "1533 29.029938 20.926519 7.626636 \n", - "1534 30.653486 23.644292 9.838617 \n", - "1535 31.129362 26.521259 12.731623 \n", - "\n", - " GDP (current US$)+21 Continent \n", - "0 NaN Europe \n", - "1 NaN Europe \n", - "2 NaN Europe \n", - "3 NaN Europe \n", - "4 NaN Europe \n", - "... ... ... \n", - "1531 2.393592 Pair \n", - "1532 2.664772 Pair \n", - "1533 2.851657 Pair \n", - "1534 3.031657 Pair \n", - "1535 3.356853 Pair \n", - "\n", - "[1536 rows x 480 columns]" + "0 1.000000\n", + "1 1.054905\n", + "2 1.203142\n", + "3 1.169136\n", + "4 1.244629\n", + " ... \n", + "1531 34.114284\n", + "1532 38.504955\n", + "1533 39.572189\n", + "1534 40.799246\n", + "1535 40.799246\n", + "Name: GDP (current US$), Length: 1536, dtype: float64" ] }, - "execution_count": 58, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } @@ -9432,7 +8949,7 @@ "source": [ "df= pd.read_csv (os.getcwd()+'/Data/'+'GoldenDataFrame.csv')\n", "df_study=df[[c for c in df.columns if c in columns]]\n", - "df_study\n" + "df_study['GDP (current US$)']\n" ] }, { @@ -9444,66 +8961,18 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 64, "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "unsupported operand type(s) for ** or pow(): 'str' and 'int'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:163\u001b[0m, in \u001b[0;36m_na_arithmetic_op\u001b[1;34m(left, right, op, is_cmp)\u001b[0m\n\u001b[0;32m 162\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 163\u001b[0m result \u001b[39m=\u001b[39m func(left, right)\n\u001b[0;32m 164\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mTypeError\u001b[39;00m:\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\computation\\expressions.py:239\u001b[0m, in \u001b[0;36mevaluate\u001b[1;34m(op, a, b, use_numexpr)\u001b[0m\n\u001b[0;32m 237\u001b[0m \u001b[39mif\u001b[39;00m use_numexpr:\n\u001b[0;32m 238\u001b[0m \u001b[39m# error: \"None\" not callable\u001b[39;00m\n\u001b[1;32m--> 239\u001b[0m \u001b[39mreturn\u001b[39;00m _evaluate(op, op_str, a, b) \u001b[39m# type: ignore[misc]\u001b[39;00m\n\u001b[0;32m 240\u001b[0m \u001b[39mreturn\u001b[39;00m _evaluate_standard(op, op_str, a, b)\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\computation\\expressions.py:69\u001b[0m, in \u001b[0;36m_evaluate_standard\u001b[1;34m(op, op_str, a, b)\u001b[0m\n\u001b[0;32m 68\u001b[0m _store_test_result(\u001b[39mFalse\u001b[39;00m)\n\u001b[1;32m---> 69\u001b[0m \u001b[39mreturn\u001b[39;00m op(a, b)\n", - "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for ** or pow(): 'str' and 'int'", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 100\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m multcolumn(df_study)\n", - "\u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 100\u001b[0m in \u001b[0;36mmultcolumn\u001b[1;34m(frame)\u001b[0m\n\u001b[0;32m 5\u001b[0m name3\u001b[39m=\u001b[39mcolumns[u]\u001b[39m+\u001b[39m\u001b[39m'\u001b[39m\u001b[39m.^3\u001b[39m\u001b[39m'\u001b[39m\n\u001b[0;32m 6\u001b[0m namelog\u001b[39m=\u001b[39mcolumns[u]\u001b[39m+\u001b[39m\u001b[39m'\u001b[39m\u001b[39m.log\u001b[39m\u001b[39m'\u001b[39m\n\u001b[1;32m----> 7\u001b[0m frame\u001b[39m.\u001b[39mloc[:,name2] \u001b[39m=\u001b[39m frame[columns[u]]\u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49m\u001b[39m2\u001b[39;49m\n\u001b[0;32m 8\u001b[0m frame\u001b[39m.\u001b[39mloc[:,name3] \u001b[39m=\u001b[39m frame[columns[u]]\u001b[39m*\u001b[39m\u001b[39m*\u001b[39m\u001b[39m3\u001b[39m\n\u001b[0;32m 9\u001b[0m frame\u001b[39m.\u001b[39mloc[:,namelog] \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mlog(frame[columns[u]])\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\ops\\common.py:70\u001b[0m, in \u001b[0;36m_unpack_zerodim_and_defer..new_method\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m 66\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mNotImplemented\u001b[39m\n\u001b[0;32m 68\u001b[0m other \u001b[39m=\u001b[39m item_from_zerodim(other)\n\u001b[1;32m---> 70\u001b[0m \u001b[39mreturn\u001b[39;00m method(\u001b[39mself\u001b[39;49m, other)\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\arraylike.py:156\u001b[0m, in \u001b[0;36mOpsMixin.__pow__\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m 154\u001b[0m \u001b[39m@unpack_zerodim_and_defer\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39m__pow__\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m 155\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__pow__\u001b[39m(\u001b[39mself\u001b[39m, other):\n\u001b[1;32m--> 156\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_arith_method(other, operator\u001b[39m.\u001b[39;49mpow)\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\series.py:5639\u001b[0m, in \u001b[0;36mSeries._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m 5637\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_arith_method\u001b[39m(\u001b[39mself\u001b[39m, other, op):\n\u001b[0;32m 5638\u001b[0m \u001b[39mself\u001b[39m, other \u001b[39m=\u001b[39m ops\u001b[39m.\u001b[39malign_method_SERIES(\u001b[39mself\u001b[39m, other)\n\u001b[1;32m-> 5639\u001b[0m \u001b[39mreturn\u001b[39;00m base\u001b[39m.\u001b[39;49mIndexOpsMixin\u001b[39m.\u001b[39;49m_arith_method(\u001b[39mself\u001b[39;49m, other, op)\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\base.py:1295\u001b[0m, in \u001b[0;36mIndexOpsMixin._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m 1292\u001b[0m rvalues \u001b[39m=\u001b[39m ensure_wrapped_if_datetimelike(rvalues)\n\u001b[0;32m 1294\u001b[0m \u001b[39mwith\u001b[39;00m np\u001b[39m.\u001b[39merrstate(\u001b[39mall\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mignore\u001b[39m\u001b[39m\"\u001b[39m):\n\u001b[1;32m-> 1295\u001b[0m result \u001b[39m=\u001b[39m ops\u001b[39m.\u001b[39;49marithmetic_op(lvalues, rvalues, op)\n\u001b[0;32m 1297\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_construct_result(result, name\u001b[39m=\u001b[39mres_name)\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:222\u001b[0m, in \u001b[0;36marithmetic_op\u001b[1;34m(left, right, op)\u001b[0m\n\u001b[0;32m 217\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 218\u001b[0m \u001b[39m# TODO we should handle EAs consistently and move this check before the if/else\u001b[39;00m\n\u001b[0;32m 219\u001b[0m \u001b[39m# (https://github.com/pandas-dev/pandas/issues/41165)\u001b[39;00m\n\u001b[0;32m 220\u001b[0m _bool_arith_check(op, left, right)\n\u001b[1;32m--> 222\u001b[0m res_values \u001b[39m=\u001b[39m _na_arithmetic_op(left, right, op)\n\u001b[0;32m 224\u001b[0m \u001b[39mreturn\u001b[39;00m res_values\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:170\u001b[0m, in \u001b[0;36m_na_arithmetic_op\u001b[1;34m(left, right, op, is_cmp)\u001b[0m\n\u001b[0;32m 164\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mTypeError\u001b[39;00m:\n\u001b[0;32m 165\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m is_cmp \u001b[39mand\u001b[39;00m (is_object_dtype(left\u001b[39m.\u001b[39mdtype) \u001b[39mor\u001b[39;00m is_object_dtype(right)):\n\u001b[0;32m 166\u001b[0m \u001b[39m# For object dtype, fallback to a masked operation (only operating\u001b[39;00m\n\u001b[0;32m 167\u001b[0m \u001b[39m# on the non-missing values)\u001b[39;00m\n\u001b[0;32m 168\u001b[0m \u001b[39m# Don't do this for comparisons, as that will handle complex numbers\u001b[39;00m\n\u001b[0;32m 169\u001b[0m \u001b[39m# incorrectly, see GH#32047\u001b[39;00m\n\u001b[1;32m--> 170\u001b[0m result \u001b[39m=\u001b[39m _masked_arith_op(left, right, op)\n\u001b[0;32m 171\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 172\u001b[0m \u001b[39mraise\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:127\u001b[0m, in \u001b[0;36m_masked_arith_op\u001b[1;34m(x, y, op)\u001b[0m\n\u001b[0;32m 124\u001b[0m mask \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mwhere(y \u001b[39m==\u001b[39m \u001b[39m1\u001b[39m, \u001b[39mFalse\u001b[39;00m, mask)\n\u001b[0;32m 126\u001b[0m \u001b[39mif\u001b[39;00m mask\u001b[39m.\u001b[39many():\n\u001b[1;32m--> 127\u001b[0m result[mask] \u001b[39m=\u001b[39m op(xrav[mask], y)\n\u001b[0;32m 129\u001b[0m np\u001b[39m.\u001b[39mputmask(result, \u001b[39m~\u001b[39mmask, np\u001b[39m.\u001b[39mnan)\n\u001b[0;32m 130\u001b[0m result \u001b[39m=\u001b[39m result\u001b[39m.\u001b[39mreshape(x\u001b[39m.\u001b[39mshape) \u001b[39m# 2D compat\u001b[39;00m\n", - "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for ** or pow(): 'str' and 'int'" - ] - } - ], + "outputs": [], "source": [ "multcolumn(df_study)" ] }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 65, "metadata": {}, - "outputs": [ - { - "ename": "KeyError", - "evalue": "'GDP (current US$).l'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3621\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 3620\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m-> 3621\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_engine\u001b[39m.\u001b[39;49mget_loc(casted_key)\n\u001b[0;32m 3622\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m \u001b[39mas\u001b[39;00m err:\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\_libs\\index.pyx:136\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\_libs\\index.pyx:163\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", - "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5198\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", - "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5206\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", - "\u001b[1;31mKeyError\u001b[0m: 'GDP (current US$).l'", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 101\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 10\u001b[0m \u001b[39mfor\u001b[39;00m u \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(\u001b[39m0\u001b[39m,\u001b[39mlen\u001b[39m(pilares)):\n\u001b[0;32m 11\u001b[0m \u001b[39mif\u001b[39;00m is_numeric_dtype(dat[pilares[u]]):\n\u001b[1;32m---> 12\u001b[0m correlation, pvalue\u001b[39m=\u001b[39mpearsonr(dat[pilares[u]], dat[\u001b[39m'\u001b[39;49m\u001b[39mGDP (current US$).l\u001b[39;49m\u001b[39m'\u001b[39;49m])\n\u001b[0;32m 13\u001b[0m \u001b[39mif\u001b[39;00m pvalue\u001b[39m<\u001b[39m\u001b[39m=\u001b[39m\u001b[39m0.05\u001b[39m:\n\u001b[0;32m 14\u001b[0m listacorpe\u001b[39m.\u001b[39mappend(pilares[u])\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\frame.py:3505\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 3503\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcolumns\u001b[39m.\u001b[39mnlevels \u001b[39m>\u001b[39m \u001b[39m1\u001b[39m:\n\u001b[0;32m 3504\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_getitem_multilevel(key)\n\u001b[1;32m-> 3505\u001b[0m indexer \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcolumns\u001b[39m.\u001b[39;49mget_loc(key)\n\u001b[0;32m 3506\u001b[0m \u001b[39mif\u001b[39;00m is_integer(indexer):\n\u001b[0;32m 3507\u001b[0m indexer \u001b[39m=\u001b[39m [indexer]\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3623\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 3621\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_engine\u001b[39m.\u001b[39mget_loc(casted_key)\n\u001b[0;32m 3622\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m \u001b[39mas\u001b[39;00m err:\n\u001b[1;32m-> 3623\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mKeyError\u001b[39;00m(key) \u001b[39mfrom\u001b[39;00m \u001b[39merr\u001b[39;00m\n\u001b[0;32m 3624\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mTypeError\u001b[39;00m:\n\u001b[0;32m 3625\u001b[0m \u001b[39m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[0;32m 3626\u001b[0m \u001b[39m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[0;32m 3627\u001b[0m \u001b[39m# the TypeError.\u001b[39;00m\n\u001b[0;32m 3628\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_check_indexing_error(key)\n", - "\u001b[1;31mKeyError\u001b[0m: 'GDP (current US$).l'" - ] - } - ], + "outputs": [], "source": [ "dat=df_study.loc[df_study.loc[:, 'Country'] == clist[0]]\n", "listacorpe=[]\n", @@ -9539,7 +9008,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 85, "metadata": {}, "outputs": [], "source": [ @@ -9561,9 +9030,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 86, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "KeyError", + "evalue": "'GDP (current US$).l'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3621\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 3620\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m-> 3621\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_engine\u001b[39m.\u001b[39;49mget_loc(casted_key)\n\u001b[0;32m 3622\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m \u001b[39mas\u001b[39;00m err:\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\_libs\\index.pyx:136\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\_libs\\index.pyx:163\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", + "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5198\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", + "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5206\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", + "\u001b[1;31mKeyError\u001b[0m: 'GDP (current US$).l'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 105\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m corp\u001b[39m.\u001b[39mloc[:,\u001b[39m'\u001b[39m\u001b[39mR^2 Pearson\u001b[39m\u001b[39m'\u001b[39m] \u001b[39m=\u001b[39m corp[\u001b[39m'\u001b[39;49m\u001b[39mGDP (current US$).l\u001b[39;49m\u001b[39m'\u001b[39;49m]\u001b[39m*\u001b[39m\u001b[39m*\u001b[39m\u001b[39m2\u001b[39m\n\u001b[0;32m 3\u001b[0m cors\u001b[39m.\u001b[39mloc[:,\u001b[39m'\u001b[39m\u001b[39mR^2 Spearman\u001b[39m\u001b[39m'\u001b[39m] \u001b[39m=\u001b[39m cors[\u001b[39m'\u001b[39m\u001b[39mGDP (current US$).l\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m*\u001b[39m\u001b[39m*\u001b[39m\u001b[39m2\u001b[39m\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\frame.py:3505\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 3503\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcolumns\u001b[39m.\u001b[39mnlevels \u001b[39m>\u001b[39m \u001b[39m1\u001b[39m:\n\u001b[0;32m 3504\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_getitem_multilevel(key)\n\u001b[1;32m-> 3505\u001b[0m indexer \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcolumns\u001b[39m.\u001b[39;49mget_loc(key)\n\u001b[0;32m 3506\u001b[0m \u001b[39mif\u001b[39;00m is_integer(indexer):\n\u001b[0;32m 3507\u001b[0m indexer \u001b[39m=\u001b[39m [indexer]\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3623\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 3621\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_engine\u001b[39m.\u001b[39mget_loc(casted_key)\n\u001b[0;32m 3622\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m \u001b[39mas\u001b[39;00m err:\n\u001b[1;32m-> 3623\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mKeyError\u001b[39;00m(key) \u001b[39mfrom\u001b[39;00m \u001b[39merr\u001b[39;00m\n\u001b[0;32m 3624\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mTypeError\u001b[39;00m:\n\u001b[0;32m 3625\u001b[0m \u001b[39m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[0;32m 3626\u001b[0m \u001b[39m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[0;32m 3627\u001b[0m \u001b[39m# the TypeError.\u001b[39;00m\n\u001b[0;32m 3628\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_check_indexing_error(key)\n", + "\u001b[1;31mKeyError\u001b[0m: 'GDP (current US$).l'" + ] + } + ], "source": [ "corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$).l']**2\n", "\n", @@ -9579,7 +9070,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ @@ -9599,7 +9090,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 70, "metadata": {}, "outputs": [], "source": [ @@ -9619,7 +9110,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 71, "metadata": {}, "outputs": [], "source": [ @@ -9641,7 +9132,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 72, "metadata": {}, "outputs": [], "source": [ @@ -9663,7 +9154,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 73, "metadata": {}, "outputs": [], "source": [ @@ -9690,7 +9181,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 74, "metadata": {}, "outputs": [], "source": [ @@ -9708,175 +9199,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 80, "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "
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2GNI (current US$)0.996337LinearPositiveDEU0.999362
3Gross national expenditure (current US$)0.990490LinearPositiveDEU0.997181
4Final consumption expenditure (current US$)0.988302LinearPositiveDEU0.996540
.....................
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14013Revenue, excluding grants (% of GDP)0.778198LogarithmicPositiveCHN0.795803
14014Taxes on goods and services (current LCU)0.776123LinearPositiveCHN0.978917
14015Access to clean fuels and technologies for coo...0.772788LogarithmicPositiveCHN0.990567
14016Domestic general government health expenditure...0.758910CubicPositiveCHN0.797637
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14017 rows × 6 columns

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" - ], - "text/plain": [ - " Indicator R^2 Spearman \\\n", - "0 Adjusted net national income (current US$) 0.996519 \n", - "1 Gross value added at basic prices (GVA) (curre... 0.996519 \n", - "2 GNI (current US$) 0.996337 \n", - "3 Gross national expenditure (current US$) 0.990490 \n", - "4 Final consumption expenditure (current US$) 0.988302 \n", - "... ... ... \n", - "14012 Out-of-pocket expenditure (% of current health... 0.782573 \n", - "14013 Revenue, excluding grants (% of GDP) 0.778198 \n", - "14014 Taxes on goods and services (current LCU) 0.776123 \n", - "14015 Access to clean fuels and technologies for coo... 0.772788 \n", - "14016 Domestic general government health expenditure... 0.758910 \n", - "\n", - " Type Behaviour Country R^2 Pearson \n", - "0 Linear Positive DEU 0.999141 \n", - "1 Linear Positive DEU 0.999851 \n", - "2 Linear Positive DEU 0.999362 \n", - "3 Linear Positive DEU 0.997181 \n", - "4 Linear Positive DEU 0.996540 \n", - "... ... ... ... ... \n", - "14012 Logarithmic Negative CHN 0.929883 \n", - "14013 Logarithmic Positive CHN 0.795803 \n", - "14014 Linear Positive CHN 0.978917 \n", - "14015 Logarithmic Positive CHN 0.990567 \n", - "14016 Cubic Positive CHN 0.797637 \n", - "\n", - "[14017 rows x 6 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "KeyError", + "evalue": "'GDP (current US$).l'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3621\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 3620\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m-> 3621\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_engine\u001b[39m.\u001b[39;49mget_loc(casted_key)\n\u001b[0;32m 3622\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m \u001b[39mas\u001b[39;00m err:\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\_libs\\index.pyx:136\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\_libs\\index.pyx:163\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", + "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5198\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", + "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5206\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", + "\u001b[1;31mKeyError\u001b[0m: 'GDP (current US$).l'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 119\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[39mfor\u001b[39;00m u \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(\u001b[39m0\u001b[39m,\u001b[39mlen\u001b[39m(pilares)):\n\u001b[0;32m 14\u001b[0m \u001b[39mif\u001b[39;00m is_numeric_dtype(dat[pilares[u]]):\n\u001b[1;32m---> 15\u001b[0m correlation, pvalue\u001b[39m=\u001b[39mpearsonr(dat[pilares[u]], dat[\u001b[39m'\u001b[39;49m\u001b[39mGDP (current US$).l\u001b[39;49m\u001b[39m'\u001b[39;49m])\n\u001b[0;32m 16\u001b[0m \u001b[39mif\u001b[39;00m pvalue\u001b[39m<\u001b[39m\u001b[39m=\u001b[39m\u001b[39m0.05\u001b[39m:\n\u001b[0;32m 17\u001b[0m listacorpe\u001b[39m.\u001b[39mappend(pilares[u])\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\frame.py:3505\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 3503\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcolumns\u001b[39m.\u001b[39mnlevels \u001b[39m>\u001b[39m \u001b[39m1\u001b[39m:\n\u001b[0;32m 3504\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_getitem_multilevel(key)\n\u001b[1;32m-> 3505\u001b[0m indexer \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcolumns\u001b[39m.\u001b[39;49mget_loc(key)\n\u001b[0;32m 3506\u001b[0m \u001b[39mif\u001b[39;00m is_integer(indexer):\n\u001b[0;32m 3507\u001b[0m indexer \u001b[39m=\u001b[39m [indexer]\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3623\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 3621\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_engine\u001b[39m.\u001b[39mget_loc(casted_key)\n\u001b[0;32m 3622\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m \u001b[39mas\u001b[39;00m err:\n\u001b[1;32m-> 3623\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mKeyError\u001b[39;00m(key) \u001b[39mfrom\u001b[39;00m \u001b[39merr\u001b[39;00m\n\u001b[0;32m 3624\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mTypeError\u001b[39;00m:\n\u001b[0;32m 3625\u001b[0m \u001b[39m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[0;32m 3626\u001b[0m \u001b[39m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[0;32m 3627\u001b[0m \u001b[39m# the TypeError.\u001b[39;00m\n\u001b[0;32m 3628\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_check_indexing_error(key)\n", + "\u001b[1;31mKeyError\u001b[0m: 'GDP (current US$).l'" + ] } ], "source": [ @@ -9907,7 +9252,7 @@ " else:\n", " pass\n", " \n", - " dat=df.loc[df.loc[:, 'Country'] == clist[i]]\n", + " dat=df_study.loc[df_study.loc[:, 'Country'] == clist[i]]\n", "\n", " datp=dat[dat.columns[dat.columns.isin(listacorpe)]]\n", " corp=datp.corr('pearson')\n", @@ -9970,6 +9315,7 @@ " maxp_df=maxp_df.sort_values(by = 'R^2 Pearson',ascending = False)\n", " pearsondf=pd.concat((pearsondf, maxp_df), axis = 0)\n", " spearmandf=pd.concat((spearmandf, maxs_df), axis = 0)\n", + " print(i)\n", "\n", "corrtable=spearmandf.merge(pearsondf, left_on=('Indicator', 'Country','Type','Behaviour'), right_on=('Indicator', 'Country','Type','Behaviour'))\n", "display(corrtable)" From cbf9059532bcf611311d656b2319975f9090ecd2 Mon Sep 17 00:00:00 2001 From: masanchis <107245623+masanchis@users.noreply.github.com> Date: Tue, 26 Jul 2022 13:07:39 +0200 Subject: [PATCH 26/86] Update README.md --- README.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 939e86c..9a8858f 100644 --- a/README.md +++ b/README.md @@ -50,7 +50,10 @@ Therefore it is being utilized to get rid of all the outliers that may come from 3- **Scaling method**. The escalation process has been done dividing each value by the initial one of an indicator (value in 1990). Considering the start point as 1 (initial value divided by itself), each result will show the growth respect to the initial data. -4- **Removing indicators**. Those indicators which have 20% of missing values of its total have been removed because a lack of data shows unreliable results. +4- **Removing indicators**. +- Those indicators which have 20% of missing values of its total have been removed because a lack of data shows unreliable results. +- There are some indicators which represent exactly the same through different units, so, we are going to select only one type. For example, in moetary cases, indicators which are expressed with current US $ has been selected. Then, which are showed with thepercentage and the total value, we have programmed to selct which ones which show a greater value. + # Run the application ## Dependencies From 366d2daa91ca08db735f6a72bc9e51e856fb5931 Mon Sep 17 00:00:00 2001 From: amarchve Date: Tue, 26 Jul 2022 13:50:29 +0200 Subject: [PATCH 27/86] bug fixed --- WDI-Complete code.ipynb | 1752 ++++++++++++++++++++++++++++++++++++--- 1 file changed, 1615 insertions(+), 137 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 4ad4973..909c82c 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -953,7 +953,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -8878,7 +8878,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 85, "metadata": {}, "outputs": [], "source": [ @@ -8896,7 +8896,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 86, "metadata": {}, "outputs": [], "source": [ @@ -8921,56 +8921,1118 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearAccess to clean fuels and technologies for cooking (% of population)Access to electricity (% of population)Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)Adjusted net national income (current US$)Adjusted net national income per capita (current US$)Adjusted savings: carbon dioxide damage (current US$)Adjusted savings: consumption of fixed capital (current US$)Adjusted savings: education expenditure (current US$)...Urban population living in areas where elevation is below 5 meters (% of total population)Women Business and the Law Index Score (scale 1-100)GDP (current US$)+1GDP (current US$)+2GDP (current US$)+3GDP (current US$)+5GDP (current US$)+8GDP (current US$)+13GDP (current US$)+21Continent
0DEU19901.0000001.0000001.0000001.0000001.0000001.0000001.0000001.000000...1.0000001.000000NaNNaNNaNNaNNaNNaNNaNEurope
1DEU19911.0000001.0000001.0000001.0463601.0387641.0000001.0545811.047441...0.9992091.0000001.000000NaNNaNNaNNaNNaNNaNEurope
2DEU19921.0000001.0000001.0000001.1893401.1717631.0030721.2205711.193800...0.9984181.0000001.0549051.000000NaNNaNNaNNaNNaNEurope
3DEU19931.0000001.0000001.0000001.1484701.1240831.0330731.2161171.158604...0.9976271.0000001.2031421.0549051.000000NaNNaNNaNNaNEurope
4DEU19941.0000001.0000001.0000001.2200051.1899641.0640171.2944391.230977...0.9968361.0000001.1691361.2031421.054905NaNNaNNaNNaNEurope
..................................................................
1531CHN20171.7428571.0306961.25716933.11985726.92792012.90577656.99682334.069173...1.3628191.27368431.12936230.65348629.02993823.64429214.1377065.4186062.393592Pair
1532CHN20181.8000001.0306961.25716936.98483329.93001513.92850065.49405538.276891...1.3628191.27368434.11428431.12936230.65348626.52125916.8685896.3348092.664772Pair
1533CHN20191.8476191.0306961.25716938.09817930.72181514.84748468.29475439.457335...1.3628191.27368438.50495534.11428431.12936229.02993820.9265197.6266362.851657Pair
1534CHN20201.8904761.0306961.25716938.09817930.72181514.84748468.29475439.457335...1.3628191.27368439.57218938.50495534.11428430.65348623.6442929.8386173.031657Pair
1535CHN20211.8904761.0306961.25716938.09817930.72181514.84748468.29475439.457335...1.3628191.27368440.79924639.57218938.50495531.12936226.52125912.7316233.356853Pair
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" + ], + "text/plain": [ + " Country Year \\\n", + "0 DEU 1990 \n", + "1 DEU 1991 \n", + "2 DEU 1992 \n", + "3 DEU 1993 \n", + "4 DEU 1994 \n", + "... ... ... \n", + "1531 CHN 2017 \n", + "1532 CHN 2018 \n", + "1533 CHN 2019 \n", + "1534 CHN 2020 \n", + "1535 CHN 2021 \n", + "\n", + " Access to clean fuels and technologies for cooking (% of population) \\\n", + "0 1.000000 \n", + "1 1.000000 \n", + "2 1.000000 \n", + "3 1.000000 \n", + "4 1.000000 \n", + "... ... \n", + "1531 1.742857 \n", + "1532 1.800000 \n", + "1533 1.847619 \n", + "1534 1.890476 \n", + "1535 1.890476 \n", + "\n", + " Access to electricity (% of population) \\\n", + "0 1.000000 \n", + "1 1.000000 \n", + "2 1.000000 \n", + "3 1.000000 \n", + "4 1.000000 \n", + "... ... \n", + "1531 1.030696 \n", + "1532 1.030696 \n", + "1533 1.030696 \n", + "1534 1.030696 \n", + "1535 1.030696 \n", + "\n", + " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "0 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the variables, which their p-value is under 0.05 for each correlation, so later on, we can calculate only the correlations of those variables." - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [], - "source": [ - "multcolumn(df_study)" + "df_study" ] }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 90, "metadata": {}, "outputs": [], "source": [ @@ -9008,7 +10070,7 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 91, "metadata": {}, "outputs": [], "source": [ @@ -9030,31 +10092,9 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 92, "metadata": {}, - "outputs": [ - { - "ename": "KeyError", - "evalue": "'GDP (current US$).l'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3621\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 3620\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m-> 3621\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_engine\u001b[39m.\u001b[39;49mget_loc(casted_key)\n\u001b[0;32m 3622\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m \u001b[39mas\u001b[39;00m err:\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\_libs\\index.pyx:136\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\_libs\\index.pyx:163\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", - "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5198\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", - "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5206\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", - "\u001b[1;31mKeyError\u001b[0m: 'GDP (current US$).l'", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 105\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m corp\u001b[39m.\u001b[39mloc[:,\u001b[39m'\u001b[39m\u001b[39mR^2 Pearson\u001b[39m\u001b[39m'\u001b[39m] \u001b[39m=\u001b[39m corp[\u001b[39m'\u001b[39;49m\u001b[39mGDP (current US$).l\u001b[39;49m\u001b[39m'\u001b[39;49m]\u001b[39m*\u001b[39m\u001b[39m*\u001b[39m\u001b[39m2\u001b[39m\n\u001b[0;32m 3\u001b[0m cors\u001b[39m.\u001b[39mloc[:,\u001b[39m'\u001b[39m\u001b[39mR^2 Spearman\u001b[39m\u001b[39m'\u001b[39m] \u001b[39m=\u001b[39m cors[\u001b[39m'\u001b[39m\u001b[39mGDP (current US$).l\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m*\u001b[39m\u001b[39m*\u001b[39m\u001b[39m2\u001b[39m\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\frame.py:3505\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 3503\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcolumns\u001b[39m.\u001b[39mnlevels \u001b[39m>\u001b[39m \u001b[39m1\u001b[39m:\n\u001b[0;32m 3504\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_getitem_multilevel(key)\n\u001b[1;32m-> 3505\u001b[0m indexer \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcolumns\u001b[39m.\u001b[39;49mget_loc(key)\n\u001b[0;32m 3506\u001b[0m \u001b[39mif\u001b[39;00m is_integer(indexer):\n\u001b[0;32m 3507\u001b[0m indexer \u001b[39m=\u001b[39m [indexer]\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3623\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 3621\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_engine\u001b[39m.\u001b[39mget_loc(casted_key)\n\u001b[0;32m 3622\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m \u001b[39mas\u001b[39;00m err:\n\u001b[1;32m-> 3623\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mKeyError\u001b[39;00m(key) \u001b[39mfrom\u001b[39;00m \u001b[39merr\u001b[39;00m\n\u001b[0;32m 3624\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mTypeError\u001b[39;00m:\n\u001b[0;32m 3625\u001b[0m \u001b[39m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[0;32m 3626\u001b[0m \u001b[39m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[0;32m 3627\u001b[0m \u001b[39m# the TypeError.\u001b[39;00m\n\u001b[0;32m 3628\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_check_indexing_error(key)\n", - "\u001b[1;31mKeyError\u001b[0m: 'GDP (current US$).l'" - ] - } - ], + "outputs": [], "source": [ "corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$).l']**2\n", "\n", @@ -9070,7 +10110,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 93, "metadata": {}, "outputs": [], "source": [ @@ -9090,7 +10130,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 94, "metadata": {}, "outputs": [], "source": [ @@ -9110,7 +10150,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 95, "metadata": {}, "outputs": [], "source": [ @@ -9132,7 +10172,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 96, "metadata": {}, "outputs": [], "source": [ @@ -9154,7 +10194,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 97, "metadata": {}, "outputs": [], "source": [ @@ -9181,7 +10221,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 98, "metadata": {}, "outputs": [], "source": [ @@ -9199,29 +10239,228 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 99, "metadata": {}, "outputs": [ { - "ename": "KeyError", - "evalue": "'GDP (current US$).l'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3621\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 3620\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m-> 3621\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_engine\u001b[39m.\u001b[39;49mget_loc(casted_key)\n\u001b[0;32m 3622\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m \u001b[39mas\u001b[39;00m err:\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\_libs\\index.pyx:136\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\_libs\\index.pyx:163\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", - "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5198\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", - "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5206\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", - "\u001b[1;31mKeyError\u001b[0m: 'GDP (current US$).l'", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 119\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[39mfor\u001b[39;00m u \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(\u001b[39m0\u001b[39m,\u001b[39mlen\u001b[39m(pilares)):\n\u001b[0;32m 14\u001b[0m \u001b[39mif\u001b[39;00m is_numeric_dtype(dat[pilares[u]]):\n\u001b[1;32m---> 15\u001b[0m correlation, pvalue\u001b[39m=\u001b[39mpearsonr(dat[pilares[u]], dat[\u001b[39m'\u001b[39;49m\u001b[39mGDP (current US$).l\u001b[39;49m\u001b[39m'\u001b[39;49m])\n\u001b[0;32m 16\u001b[0m \u001b[39mif\u001b[39;00m pvalue\u001b[39m<\u001b[39m\u001b[39m=\u001b[39m\u001b[39m0.05\u001b[39m:\n\u001b[0;32m 17\u001b[0m listacorpe\u001b[39m.\u001b[39mappend(pilares[u])\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\frame.py:3505\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 3503\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcolumns\u001b[39m.\u001b[39mnlevels \u001b[39m>\u001b[39m \u001b[39m1\u001b[39m:\n\u001b[0;32m 3504\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_getitem_multilevel(key)\n\u001b[1;32m-> 3505\u001b[0m indexer \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcolumns\u001b[39m.\u001b[39;49mget_loc(key)\n\u001b[0;32m 3506\u001b[0m \u001b[39mif\u001b[39;00m is_integer(indexer):\n\u001b[0;32m 3507\u001b[0m indexer \u001b[39m=\u001b[39m [indexer]\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3623\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 3621\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_engine\u001b[39m.\u001b[39mget_loc(casted_key)\n\u001b[0;32m 3622\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m \u001b[39mas\u001b[39;00m err:\n\u001b[1;32m-> 3623\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mKeyError\u001b[39;00m(key) \u001b[39mfrom\u001b[39;00m \u001b[39merr\u001b[39;00m\n\u001b[0;32m 3624\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mTypeError\u001b[39;00m:\n\u001b[0;32m 3625\u001b[0m \u001b[39m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[0;32m 3626\u001b[0m \u001b[39m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[0;32m 3627\u001b[0m \u001b[39m# the TypeError.\u001b[39;00m\n\u001b[0;32m 3628\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_check_indexing_error(key)\n", - "\u001b[1;31mKeyError\u001b[0m: 'GDP (current US$).l'" + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "2\n", + "3\n", + "4\n", + "5\n", + "6\n", + "7\n", + "8\n", + "9\n", + "10\n", + "11\n", + "12\n", + "13\n", + "14\n", + "15\n", + "16\n", + "17\n", + "18\n", + "19\n", + "20\n", + "21\n", + "22\n", + "23\n", + "24\n", + "25\n", + "26\n", + "27\n", + "28\n", + "29\n", + "30\n", + "31\n", + "32\n", + "33\n", + "34\n", + "35\n", + "36\n", + "37\n", + "38\n", + "39\n", + "40\n", + "41\n", + "42\n", + "43\n", + "44\n", + "45\n", + "46\n", + "47\n" ] + }, + { + "data": { + "text/html": [ + "
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IndicatorR^2 SpearmanTypeBehaviourCountryR^2 Pearson
0Adjusted net national income (current US$)0.996519LinearPositiveDEU0.999141
1Gross value added at basic prices (GVA) (curre...0.996519LinearPositiveDEU0.999851
2GNI (current US$)0.996337LinearPositiveDEU0.999362
3Gross national expenditure (current US$)0.990490LinearPositiveDEU0.997181
4Final consumption expenditure (current US$)0.988302LinearPositiveDEU0.996540
.....................
5948Prevalence of anemia among women of reproducti...0.793298LogarithmicNegativeCHN0.752969
5949Logistics performance index: Ability to track ...0.788049LogarithmicPositiveCHN0.926947
5950Logistics performance index: Competence and qu...0.788049LogarithmicPositiveCHN0.890297
5951Out-of-pocket expenditure (% of current health...0.782573LogarithmicNegativeCHN0.929883
5952Domestic general government health expenditure...0.758910CubicPositiveCHN0.797637
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5953 rows × 6 columns

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" + ], + "text/plain": [ + " Indicator R^2 Spearman \\\n", + "0 Adjusted net national income (current US$) 0.996519 \n", + "1 Gross value added at basic prices (GVA) (curre... 0.996519 \n", + "2 GNI (current US$) 0.996337 \n", + "3 Gross national expenditure (current US$) 0.990490 \n", + "4 Final consumption expenditure (current US$) 0.988302 \n", + "... ... ... \n", + "5948 Prevalence of anemia among women of reproducti... 0.793298 \n", + "5949 Logistics performance index: Ability to track ... 0.788049 \n", + "5950 Logistics performance index: Competence and qu... 0.788049 \n", + "5951 Out-of-pocket expenditure (% of current health... 0.782573 \n", + "5952 Domestic general government health expenditure... 0.758910 \n", + "\n", + " Type Behaviour Country R^2 Pearson \n", + "0 Linear Positive DEU 0.999141 \n", + "1 Linear Positive DEU 0.999851 \n", + "2 Linear Positive DEU 0.999362 \n", + "3 Linear Positive DEU 0.997181 \n", + "4 Linear Positive DEU 0.996540 \n", + "... ... ... ... ... \n", + "5948 Logarithmic Negative CHN 0.752969 \n", + "5949 Logarithmic Positive CHN 0.926947 \n", + "5950 Logarithmic Positive CHN 0.890297 \n", + "5951 Logarithmic Negative CHN 0.929883 \n", + "5952 Cubic Positive CHN 0.797637 \n", + "\n", + "[5953 rows x 6 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -9229,8 +10468,8 @@ "spearmandf\n", "for i in range(1,len(clist)):\n", " dat=df_study.loc[df_study.loc[:, 'Country'] == clist[i]]\n", - " listacorpe=[]\n", - " listacorsp=[]\n", + " listacorpe=['GDP (current US$).l']\n", + " listacorsp=['GDP (current US$).l']\n", " clmns=dat.columns.values.tolist()\n", " dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", " for c in range(0, len(clmns)):\n", @@ -9315,7 +10554,6 @@ " maxp_df=maxp_df.sort_values(by = 'R^2 Pearson',ascending = False)\n", " pearsondf=pd.concat((pearsondf, maxp_df), axis = 0)\n", " spearmandf=pd.concat((spearmandf, maxs_df), axis = 0)\n", - " print(i)\n", "\n", "corrtable=spearmandf.merge(pearsondf, left_on=('Indicator', 'Country','Type','Behaviour'), right_on=('Indicator', 'Country','Type','Behaviour'))\n", "display(corrtable)" @@ -9323,7 +10561,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 100, "metadata": {}, "outputs": [], "source": [ @@ -9333,7 +10571,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 101, "metadata": {}, "outputs": [ { @@ -9363,29 +10601,29 @@ " \n", " \n", " \n", - " 277\n", - " GNI per capita, Atlas method (current US$)\n", + " 127\n", + " GDP per capita (current US$)\n", " 46\n", " \n", " \n", - " 373\n", + " 176\n", " Industry (including construction), value added...\n", " 46\n", " \n", " \n", - " 260\n", - " GDP per capita (current US$)\n", + " 132\n", + " GNI (current US$)\n", " 46\n", " \n", " \n", - " 273\n", - " GNI (current US$)\n", - " 46\n", + " 152\n", + " Households and NPISHs Final consumption expend...\n", + " 45\n", " \n", " \n", - " 280\n", - " GNI, Atlas method (current US$)\n", - " 46\n", + " 108\n", + " Final consumption expenditure (current US$)\n", + " 45\n", " \n", " \n", " ...\n", @@ -9393,66 +10631,66 @@ " ...\n", " \n", " \n", - " 463\n", - " Merchandise exports to economies in the Arab W...\n", + " 368\n", + " Time required to enforce a contract (days)\n", " 1\n", " \n", " \n", - " 299\n", - " Gross capital formation (% of GDP)\n", + " 246\n", + " Net capital account (BoP, current US$)\n", " 1\n", " \n", " \n", - " 25\n", - " Adjusted savings: net national savings (% of GNI)\n", + " 244\n", + " Natural gas rents (% of GDP)\n", " 1\n", " \n", " \n", - " 787\n", - " Surface area (sq\n", + " 95\n", + " Expenditure on tertiary education (% of govern...\n", " 1\n", " \n", " \n", - " 512\n", - " Net capital account (BoP, current US$)\n", + " 142\n", + " Gross fixed capital formation (% of GDP)\n", " 1\n", " \n", " \n", "\n", - "

887 rows × 2 columns

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403 rows × 2 columns

\n", "" ], "text/plain": [ " Indicator \\\n", - "277 GNI per capita, Atlas method (current US$) \n", - "373 Industry (including construction), value added... \n", - "260 GDP per capita (current US$) \n", - "273 GNI (current US$) \n", - "280 GNI, Atlas method (current US$) \n", + "127 GDP per capita (current US$) \n", + "176 Industry (including construction), value added... \n", + "132 GNI (current US$) \n", + "152 Households and NPISHs Final consumption expend... \n", + "108 Final consumption expenditure (current US$) \n", ".. ... \n", - "463 Merchandise exports to economies in the Arab W... \n", - "299 Gross capital formation (% of GDP) \n", - "25 Adjusted savings: net national savings (% of GNI) \n", - "787 Surface area (sq \n", - "512 Net capital account (BoP, current US$) \n", + "368 Time required to enforce a contract (days) \n", + "246 Net capital account (BoP, current US$) \n", + "244 Natural gas rents (% of GDP) \n", + "95 Expenditure on tertiary education (% of govern... \n", + "142 Gross fixed capital formation (% of GDP) \n", "\n", " Number of times repeated \n", - "277 46 \n", - "373 46 \n", - "260 46 \n", - "273 46 \n", - "280 46 \n", + "127 46 \n", + "176 46 \n", + "132 46 \n", + "152 45 \n", + "108 45 \n", ".. ... \n", - "463 1 \n", - "299 1 \n", - "25 1 \n", - "787 1 \n", - "512 1 \n", + "368 1 \n", + "246 1 \n", + "244 1 \n", + "95 1 \n", + "142 1 \n", "\n", - "[887 rows x 2 columns]" + "[403 rows x 2 columns]" ] }, - "execution_count": 151, + "execution_count": 101, "metadata": {}, "output_type": "execute_result" } @@ -9467,6 +10705,246 @@ "df_indicators" ] }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicatorShort indicatorValueSubgroupUnitsOther specification
0DEU1990EuropeAccess to clean fuels and technologies for coo...Access to clean fuels and technologies for coo...1.000000total(% of population)None
3DEU1990EuropeAccess to electricity (% of population)Access to electricity1.000000total(% of population)None
6DEU1990EuropeAccount ownership at a financial institution o...Account ownership at a financial institution o...1.000000total(% of population ages 15+)None
20DEU1990EuropeAdjusted net national income (current US$)Adjusted net national income1.000000total(current US$)None
23DEU1990EuropeAdjusted net national income per capita (curre...Adjusted net national income per capita1.000000total(current US$)None
..............................
1540358CHN2021PairGDP (current US$)+3GDP+338.504955total(current US$)None
1540359CHN2021PairGDP (current US$)+5GDP+531.129362total(current US$)None
1540360CHN2021PairGDP (current US$)+8GDP+826.521259total(current US$)None
1540361CHN2021PairGDP (current US$)+13GDP+1312.731623total(current US$)None
1540362CHN2021PairGDP (current US$)+21GDP+213.356853total(current US$)None
\n", + "

687830 rows × 9 columns

\n", + "
" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "6 DEU 1990 Europe \n", + "20 DEU 1990 Europe \n", + "23 DEU 1990 Europe \n", + "... ... ... ... \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity (% of population) \n", + "6 Account ownership at a financial institution o... \n", + "20 Adjusted net national income (current US$) \n", + "23 Adjusted net national income per capita (curre... \n", + "... ... \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", + "\n", + " Short indicator Value \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity 1.000000 \n", + "6 Account ownership at a financial institution o... 1.000000 \n", + "20 Adjusted net national income 1.000000 \n", + "23 Adjusted net national income per capita 1.000000 \n", + "... ... ... \n", + "1540358 GDP+3 38.504955 \n", + "1540359 GDP+5 31.129362 \n", + "1540360 GDP+8 26.521259 \n", + "1540361 GDP+13 12.731623 \n", + "1540362 GDP+21 3.356853 \n", + "\n", + " Subgroup Units Other specification \n", + "0 total (% of population) None \n", + "3 total (% of population) None \n", + "6 total (% of population ages 15+) None \n", + "20 total (current US$) None \n", + "23 total (current US$) None \n", + "... ... ... ... \n", + "1540358 total (current US$) None \n", + "1540359 total (current US$) None \n", + "1540360 total (current US$) None \n", + "1540361 total (current US$) None \n", + "1540362 total (current US$) None \n", + "\n", + "[687830 rows x 9 columns]" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Categorization4" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -13127,7 +14605,7 @@ }, "vscode": { "interpreter": { - "hash": "292912297167048338b5d1136ec8c661b8a2f1d3fcecd6650d637809a967c218" + "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" } } }, From 8080645ddac7213ba1d1013d98acc37eecde529d Mon Sep 17 00:00:00 2001 From: masanchis <107245623+masanchis@users.noreply.github.com> Date: Tue, 26 Jul 2022 14:14:48 +0200 Subject: [PATCH 28/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 909c82c..cb17d15 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -2968,7 +2968,6 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Fix explanation" ] }, { @@ -5734,14 +5733,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "For the next part of analyzing this data, we think it is gonna be interesting to have it classify by the categories of the Country groups defined before, to which we call \"Continent\". This category is useful as it groups the nations with similar economies or geographical proximity, so we can extract common conclusions from them." + "For the next part of analyzing this data, we think it is gonna be interesting to have it classify by the categories of the Country groups defined before, to which we call \"Continent\". This category is useful as it groups the nations with similar economies or geographical proximity, so we coud extract common conclusions from them. however, after our study we will check if our initial grouping hypotheses are correct. Moreover, we will relate different countries between them to see new relationships" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We create a dictionary with the regions and the countries included in each one. Where we will relate the countries and regions so then we can apply the .map function and arrive to the final dataframe." + "We create a dictionary with the regions and the countries included in each one." ] }, { From 67dcb2188f04d5c01dd19f3215f31613a101f442 Mon Sep 17 00:00:00 2001 From: msanchis Date: Wed, 27 Jul 2022 09:04:08 +0200 Subject: [PATCH 29/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 2336 ++++++++++----------------------------- 1 file changed, 560 insertions(+), 1776 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index cb17d15..07ee804 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -434,13 +434,13 @@ "[384370 rows x 67 columns]" ] }, - "execution_count": 2, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df= pd.read_csv (os.getcwd()+'/Data/'+'WDIData.csv')\n", + "df= pd.read_csv (os.getcwd()+'/WDI/'+'WDIData.csv')\n", "df" ] }, @@ -460,7 +460,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -506,7 +506,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -522,7 +522,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -538,7 +538,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -681,7 +681,7 @@ "[1769879 rows x 4 columns]" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -702,7 +702,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -724,7 +724,7 @@ "dtype: object" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -735,7 +735,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -878,7 +878,7 @@ "[1225418 rows x 4 columns]" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -890,7 +890,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -947,16 +947,16 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -968,7 +968,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1099,7 +1099,7 @@ "[59239 rows x 2 columns]" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -1224,7 +1224,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 13, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1237,7 +1237,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -1341,7 +1341,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 14, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1361,7 +1361,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -1528,7 +1528,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1541,7 +1541,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1550,7 +1550,7 @@ "['Country Code', 'Indicator Name', 'Date', 'Value_x', 'Value_y', 'Value']" ] }, - "execution_count": 16, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -1568,7 +1568,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1735,7 +1735,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 17, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1754,7 +1754,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -1921,7 +1921,7 @@ "[1189068 rows x 6 columns]" ] }, - "execution_count": 18, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -1940,7 +1940,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -2083,7 +2083,7 @@ "[1189068 rows x 4 columns]" ] }, - "execution_count": 19, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -2095,7 +2095,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -2104,7 +2104,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -2685,7 +2685,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 21, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -2704,7 +2704,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -2713,7 +2713,7 @@ "1016628" ] }, - "execution_count": 22, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -2738,7 +2738,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -2762,7 +2762,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -2771,7 +2771,7 @@ "685787" ] }, - "execution_count": 24, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -2797,7 +2797,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -2806,7 +2806,7 @@ "498648" ] }, - "execution_count": 25, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -2832,7 +2832,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -2841,7 +2841,7 @@ "685787" ] }, - "execution_count": 26, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -2867,7 +2867,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -2876,7 +2876,7 @@ "685787" ] }, - "execution_count": 27, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -2897,7 +2897,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -2906,7 +2906,7 @@ "310048" ] }, - "execution_count": 28, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -2934,7 +2934,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -2943,7 +2943,7 @@ "310048" ] }, - "execution_count": 29, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -2968,6 +2968,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "Fix explanation" ] }, { @@ -2979,7 +2980,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -3560,7 +3561,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 30, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -3590,7 +3591,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -4542,7 +4543,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 31, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -4564,7 +4565,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -4573,7 +4574,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -4586,7 +4587,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -4900,7 +4901,7 @@ " \n", " \n", "\n", - "

1536 rows × 1060 columns

\n", + "

3008 rows × 1060 columns

\n", "" ], "text/plain": [ @@ -5151,10 +5152,10 @@ "254 1.273684 \n", "255 1.273684 \n", "\n", - "[1536 rows x 1060 columns]" + "[3008 rows x 1060 columns]" ] }, - "execution_count": 34, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -5171,7 +5172,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -5485,7 +5486,7 @@ " \n", " \n", "\n", - "

1536 rows × 1067 columns

\n", + "

3008 rows × 1067 columns

\n", "" ], "text/plain": [ @@ -5697,10 +5698,10 @@ "254 3.031657 \n", "255 3.356853 \n", "\n", - "[1536 rows x 1067 columns]" + "[3008 rows x 1067 columns]" ] }, - "execution_count": 35, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -5722,7 +5723,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -5733,19 +5734,19 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "For the next part of analyzing this data, we think it is gonna be interesting to have it classify by the categories of the Country groups defined before, to which we call \"Continent\". This category is useful as it groups the nations with similar economies or geographical proximity, so we coud extract common conclusions from them. however, after our study we will check if our initial grouping hypotheses are correct. Moreover, we will relate different countries between them to see new relationships" + "For the next part of analyzing this data, we think it is gonna be interesting to have it classify by the categories of the Country groups defined before, to which we call \"Continent\". This category is useful as it groups the nations with similar economies or geographical proximity, so we can extract common conclusions from them." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We create a dictionary with the regions and the countries included in each one." + "We create a dictionary with the regions and the countries included in each one. Where we will relate the countries and regions so then we can apply the .map function and arrive to the final dataframe." ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -5777,7 +5778,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -6091,7 +6092,7 @@ " \n", " \n", "\n", - "

1536 rows × 1068 columns

\n", + "

3008 rows × 1068 columns

\n", "" ], "text/plain": [ @@ -6290,10 +6291,10 @@ "254 3.031657 Pair \n", "255 3.356853 Pair \n", "\n", - "[1536 rows x 1068 columns]" + "[3008 rows x 1068 columns]" ] }, - "execution_count": 38, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -6313,21 +6314,21 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ - "Goldendataframe.to_csv(os.getcwd()+'/Data/GoldenDataFrame.csv')" + "Goldendataframe.to_csv(os.getcwd()+'/WDI/GoldenDataFrame.csv')" ] }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "for region, data in Goldendataframe.groupby('Continent'):\n", - " data.to_csv(os.getcwd()+'/Data/{}.csv'.format(region))" + " data.to_csv(os.getcwd()+'/WDI/{}.csv'.format(region))" ] }, { @@ -6337,20 +6338,26 @@ "CATEGORISATION OF VARIABLES FOR A DEEPER STUDY" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First of all, for having better treatment, al variables of a dataframe have been pivoting in a same column." + ] + }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ - "#Pivot dataframe for having all variables inside the same column for better treatment.\n", "columns_golden=list(Goldendataframe.columns)\n", "del columns_golden[0:2]" ] }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -6438,7 +6445,7 @@ " ...\n", " \n", " \n", - " 1540358\n", + " 3019473\n", " CHN\n", " 2021\n", " Pair\n", @@ -6447,7 +6454,7 @@ " GDP (current US$)+3\n", " \n", " \n", - " 1540359\n", + " 3019474\n", " CHN\n", " 2021\n", " Pair\n", @@ -6456,7 +6463,7 @@ " GDP (current US$)+5\n", " \n", " \n", - " 1540360\n", + " 3019475\n", " CHN\n", " 2021\n", " Pair\n", @@ -6465,7 +6472,7 @@ " GDP (current US$)+8\n", " \n", " \n", - " 1540361\n", + " 3019476\n", " CHN\n", " 2021\n", " Pair\n", @@ -6474,7 +6481,7 @@ " GDP (current US$)+13\n", " \n", " \n", - " 1540362\n", + " 3019477\n", " CHN\n", " 2021\n", " Pair\n", @@ -6484,7 +6491,7 @@ " \n", " \n", "\n", - "

1540363 rows × 6 columns

\n", + "

3019478 rows × 6 columns

\n", "" ], "text/plain": [ @@ -6495,11 +6502,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1540358 CHN 2021 Pair \n", - "1540359 CHN 2021 Pair \n", - "1540360 CHN 2021 Pair \n", - "1540361 CHN 2021 Pair \n", - "1540362 CHN 2021 Pair \n", + "3019473 CHN 2021 Pair \n", + "3019474 CHN 2021 Pair \n", + "3019475 CHN 2021 Pair \n", + "3019476 CHN 2021 Pair \n", + "3019477 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -6508,11 +6515,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "1540358 GDP (current US$)+3 38.504955 \n", - "1540359 GDP (current US$)+5 31.129362 \n", - "1540360 GDP (current US$)+8 26.521259 \n", - "1540361 GDP (current US$)+13 12.731623 \n", - "1540362 GDP (current US$)+21 3.356853 \n", + "3019473 GDP (current US$)+3 38.504955 \n", + "3019474 GDP (current US$)+5 31.129362 \n", + "3019475 GDP (current US$)+8 26.521259 \n", + "3019476 GDP (current US$)+13 12.731623 \n", + "3019477 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \n", "0 Access to clean fuels and technologies for coo... \n", @@ -6521,16 +6528,16 @@ "3 Access to electricity (% of population) \n", "4 Access to electricity, rural (% of rural popul... \n", "... ... \n", - "1540358 GDP (current US$)+3 \n", - "1540359 GDP (current US$)+5 \n", - "1540360 GDP (current US$)+8 \n", - "1540361 GDP (current US$)+13 \n", - "1540362 GDP (current US$)+21 \n", + "3019473 GDP (current US$)+3 \n", + "3019474 GDP (current US$)+5 \n", + "3019475 GDP (current US$)+8 \n", + "3019476 GDP (current US$)+13 \n", + "3019477 GDP (current US$)+21 \n", "\n", - "[1540363 rows x 6 columns]" + "[3019478 rows x 6 columns]" ] }, - "execution_count": 42, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -6541,9 +6548,22 @@ "Categorization" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are some indicators which show same results through different units. In our study we are going to work only with those expressed in US$. \n", + "\n", + "The links used to learn about these functions have been:\n", + "\n", + "https://www.geeksforgeeks.org/how-to-drop-rows-that-contain-a-specific-string-in-pandas/ \n", + "\n", + "https://www.statology.org/pandas-drop-rows-that-contain-string/ " + ] + }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -6631,7 +6651,7 @@ " ...\n", " \n", " \n", - " 1540358\n", + " 3019473\n", " CHN\n", " 2021\n", " Pair\n", @@ -6640,7 +6660,7 @@ " GDP (current US$)+3\n", " \n", " \n", - " 1540359\n", + " 3019474\n", " CHN\n", " 2021\n", " Pair\n", @@ -6649,7 +6669,7 @@ " GDP (current US$)+5\n", " \n", " \n", - " 1540360\n", + " 3019475\n", " CHN\n", " 2021\n", " Pair\n", @@ -6658,7 +6678,7 @@ " GDP (current US$)+8\n", " \n", " \n", - " 1540361\n", + " 3019476\n", " CHN\n", " 2021\n", " Pair\n", @@ -6667,7 +6687,7 @@ " GDP (current US$)+13\n", " \n", " \n", - " 1540362\n", + " 3019477\n", " CHN\n", " 2021\n", " Pair\n", @@ -6677,7 +6697,7 @@ " \n", " \n", "\n", - "

1372098 rows × 6 columns

\n", + "

2689563 rows × 6 columns

\n", "" ], "text/plain": [ @@ -6688,11 +6708,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1540358 CHN 2021 Pair \n", - "1540359 CHN 2021 Pair \n", - "1540360 CHN 2021 Pair \n", - "1540361 CHN 2021 Pair \n", - "1540362 CHN 2021 Pair \n", + "3019473 CHN 2021 Pair \n", + "3019474 CHN 2021 Pair \n", + "3019475 CHN 2021 Pair \n", + "3019476 CHN 2021 Pair \n", + "3019477 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -6701,11 +6721,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "1540358 GDP (current US$)+3 38.504955 \n", - "1540359 GDP (current US$)+5 31.129362 \n", - "1540360 GDP (current US$)+8 26.521259 \n", - "1540361 GDP (current US$)+13 12.731623 \n", - "1540362 GDP (current US$)+21 3.356853 \n", + "3019473 GDP (current US$)+3 38.504955 \n", + "3019474 GDP (current US$)+5 31.129362 \n", + "3019475 GDP (current US$)+8 26.521259 \n", + "3019476 GDP (current US$)+13 12.731623 \n", + "3019477 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \n", "0 Access to clean fuels and technologies for coo... \n", @@ -6714,43 +6734,53 @@ "3 Access to electricity (% of population) \n", "4 Access to electricity, rural (% of rural popul... \n", "... ... \n", - "1540358 GDP (current US$)+3 \n", - "1540359 GDP (current US$)+5 \n", - "1540360 GDP (current US$)+8 \n", - "1540361 GDP (current US$)+13 \n", - "1540362 GDP (current US$)+21 \n", + "3019473 GDP (current US$)+3 \n", + "3019474 GDP (current US$)+5 \n", + "3019475 GDP (current US$)+8 \n", + "3019476 GDP (current US$)+13 \n", + "3019477 GDP (current US$)+21 \n", "\n", - "[1372098 rows x 6 columns]" + "[2689563 rows x 6 columns]" ] }, - "execution_count": 43, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#For indicators with many units, just keeping the US$.\n", - "# https://www.geeksforgeeks.org/how-to-drop-rows-that-contain-a-specific-string-in-pandas/\n", - "# https://www.statology.org/pandas-drop-rows-that-contain-string/ \n", "import re\n", "discard=[\"annual % growth\",\"constant 2015 US[$]\",\"% of GNI\",\"constant LCU\",\"current LCU\"]\n", "Categorization2=Categorization[~Categorization['Short indicator'].str.contains('|'.join(discard))]\n", "Categorization2" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To check previous step." + ] + }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 47, "metadata": {}, "outputs": [], "source": [ - "#To check previous step:\n", "#Categorization2.apply(lambda row: row.astype(str).str.contains('US').any(), axis=1)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we are going to structure the indicators in a same way to work better. The first step consist of making a new column that shows the units of each variable. Units are showed inside the parenthesis of the indicator name." + ] + }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -6845,7 +6875,7 @@ " ...\n", " \n", " \n", - " 1540358\n", + " 3019473\n", " CHN\n", " 2021\n", " Pair\n", @@ -6855,7 +6885,7 @@ " (current US$)\n", " \n", " \n", - " 1540359\n", + " 3019474\n", " CHN\n", " 2021\n", " Pair\n", @@ -6865,7 +6895,7 @@ " (current US$)\n", " \n", " \n", - " 1540360\n", + " 3019475\n", " CHN\n", " 2021\n", " Pair\n", @@ -6875,7 +6905,7 @@ " (current US$)\n", " \n", " \n", - " 1540361\n", + " 3019476\n", " CHN\n", " 2021\n", " Pair\n", @@ -6885,7 +6915,7 @@ " (current US$)\n", " \n", " \n", - " 1540362\n", + " 3019477\n", " CHN\n", " 2021\n", " Pair\n", @@ -6896,7 +6926,7 @@ " \n", " \n", "\n", - "

1372098 rows × 7 columns

\n", + "

2689563 rows × 7 columns

\n", "" ], "text/plain": [ @@ -6907,11 +6937,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1540358 CHN 2021 Pair \n", - "1540359 CHN 2021 Pair \n", - "1540360 CHN 2021 Pair \n", - "1540361 CHN 2021 Pair \n", - "1540362 CHN 2021 Pair \n", + "3019473 CHN 2021 Pair \n", + "3019474 CHN 2021 Pair \n", + "3019475 CHN 2021 Pair \n", + "3019476 CHN 2021 Pair \n", + "3019477 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -6920,11 +6950,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "1540358 GDP (current US$)+3 38.504955 \n", - "1540359 GDP (current US$)+5 31.129362 \n", - "1540360 GDP (current US$)+8 26.521259 \n", - "1540361 GDP (current US$)+13 12.731623 \n", - "1540362 GDP (current US$)+21 3.356853 \n", + "3019473 GDP (current US$)+3 38.504955 \n", + "3019474 GDP (current US$)+5 31.129362 \n", + "3019475 GDP (current US$)+8 26.521259 \n", + "3019476 GDP (current US$)+13 12.731623 \n", + "3019477 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -6933,11 +6963,11 @@ "3 Access to electricity (% of population) \n", "4 Access to electricity, rural (% of rural popul... \n", "... ... \n", - "1540358 GDP (current US$)+3 \n", - "1540359 GDP (current US$)+5 \n", - "1540360 GDP (current US$)+8 \n", - "1540361 GDP (current US$)+13 \n", - "1540362 GDP (current US$)+21 \n", + "3019473 GDP (current US$)+3 \n", + "3019474 GDP (current US$)+5 \n", + "3019475 GDP (current US$)+8 \n", + "3019476 GDP (current US$)+13 \n", + "3019477 GDP (current US$)+21 \n", "\n", " Units \n", "0 (% of population) \n", @@ -6946,29 +6976,35 @@ "3 (% of population) \n", "4 (% of rural population) \n", "... ... \n", - "1540358 (current US$) \n", - "1540359 (current US$) \n", - "1540360 (current US$) \n", - "1540361 (current US$) \n", - "1540362 (current US$) \n", + "3019473 (current US$) \n", + "3019474 (current US$) \n", + "3019475 (current US$) \n", + "3019476 (current US$) \n", + "3019477 (current US$) \n", "\n", - "[1372098 rows x 7 columns]" + "[2689563 rows x 7 columns]" ] }, - "execution_count": 45, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Make a new column with the units, that correspond to the string inside the parenthesis of the indicator column.\n", "Categorization2['Units']=Categorization2['Short indicator'].str.extract(' (\\(.*\\))')\n", "Categorization2" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, short indicator refers to the original indicator name without the units. The extracted information from the origin column has been deleted." + ] + }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -7063,7 +7099,7 @@ " ...\n", " \n", " \n", - " 1540358\n", + " 3019473\n", " CHN\n", " 2021\n", " Pair\n", @@ -7073,7 +7109,7 @@ " (current US$)\n", " \n", " \n", - " 1540359\n", + " 3019474\n", " CHN\n", " 2021\n", " Pair\n", @@ -7083,7 +7119,7 @@ " (current US$)\n", " \n", " \n", - " 1540360\n", + " 3019475\n", " CHN\n", " 2021\n", " Pair\n", @@ -7093,7 +7129,7 @@ " (current US$)\n", " \n", " \n", - " 1540361\n", + " 3019476\n", " CHN\n", " 2021\n", " Pair\n", @@ -7103,7 +7139,7 @@ " (current US$)\n", " \n", " \n", - " 1540362\n", + " 3019477\n", " CHN\n", " 2021\n", " Pair\n", @@ -7114,7 +7150,7 @@ " \n", " \n", "\n", - "

1372098 rows × 7 columns

\n", + "

2689563 rows × 7 columns

\n", "" ], "text/plain": [ @@ -7125,11 +7161,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1540358 CHN 2021 Pair \n", - "1540359 CHN 2021 Pair \n", - "1540360 CHN 2021 Pair \n", - "1540361 CHN 2021 Pair \n", - "1540362 CHN 2021 Pair \n", + "3019473 CHN 2021 Pair \n", + "3019474 CHN 2021 Pair \n", + "3019475 CHN 2021 Pair \n", + "3019476 CHN 2021 Pair \n", + "3019477 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -7138,11 +7174,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "1540358 GDP (current US$)+3 38.504955 \n", - "1540359 GDP (current US$)+5 31.129362 \n", - "1540360 GDP (current US$)+8 26.521259 \n", - "1540361 GDP (current US$)+13 12.731623 \n", - "1540362 GDP (current US$)+21 3.356853 \n", + "3019473 GDP (current US$)+3 38.504955 \n", + "3019474 GDP (current US$)+5 31.129362 \n", + "3019475 GDP (current US$)+8 26.521259 \n", + "3019476 GDP (current US$)+13 12.731623 \n", + "3019477 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -7151,11 +7187,11 @@ "3 Access to electricity \n", "4 Access to electricity, rural \n", "... ... \n", - "1540358 GDP+3 \n", - "1540359 GDP+5 \n", - "1540360 GDP+8 \n", - "1540361 GDP+13 \n", - "1540362 GDP+21 \n", + "3019473 GDP+3 \n", + "3019474 GDP+5 \n", + "3019475 GDP+8 \n", + "3019476 GDP+13 \n", + "3019477 GDP+21 \n", "\n", " Units \n", "0 (% of population) \n", @@ -7164,16 +7200,16 @@ "3 (% of population) \n", "4 (% of rural population) \n", "... ... \n", - "1540358 (current US$) \n", - "1540359 (current US$) \n", - "1540360 (current US$) \n", - "1540361 (current US$) \n", - "1540362 (current US$) \n", + "3019473 (current US$) \n", + "3019474 (current US$) \n", + "3019475 (current US$) \n", + "3019476 (current US$) \n", + "3019477 (current US$) \n", "\n", - "[1372098 rows x 7 columns]" + "[2689563 rows x 7 columns]" ] }, - "execution_count": 46, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -7184,9 +7220,16 @@ "Categorization2" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In some cases there are extra information in indicators name. The information of the second parenthesis is extracted as a new column too." + ] + }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -7281,7 +7324,7 @@ " ...\n", " \n", " \n", - " 1538535\n", + " 3017650\n", " CHN\n", " 2020\n", " Pair\n", @@ -7291,7 +7334,7 @@ " (% of male employment) (modeled ILO estimate)\n", " \n", " \n", - " 1538536\n", + " 3017651\n", " CHN\n", " 2020\n", " Pair\n", @@ -7301,7 +7344,7 @@ " (% of total employment) (modeled ILO estimate)\n", " \n", " \n", - " 1539524\n", + " 3018639\n", " CHN\n", " 2021\n", " Pair\n", @@ -7311,7 +7354,7 @@ " (% of female employment) (modeled ILO estimate)\n", " \n", " \n", - " 1539525\n", + " 3018640\n", " CHN\n", " 2021\n", " Pair\n", @@ -7321,7 +7364,7 @@ " (% of male employment) (modeled ILO estimate)\n", " \n", " \n", - " 1539526\n", + " 3018641\n", " CHN\n", " 2021\n", " Pair\n", @@ -7332,7 +7375,7 @@ " \n", " \n", "\n", - "

4545 rows × 7 columns

\n", + "

8898 rows × 7 columns

\n", "" ], "text/plain": [ @@ -7343,11 +7386,11 @@ "1151 DEU 1991 Europe \n", "1152 DEU 1991 Europe \n", "... ... ... ... \n", - "1538535 CHN 2020 Pair \n", - "1538536 CHN 2020 Pair \n", - "1539524 CHN 2021 Pair \n", - "1539525 CHN 2021 Pair \n", - "1539526 CHN 2021 Pair \n", + "3017650 CHN 2020 Pair \n", + "3017651 CHN 2020 Pair \n", + "3018639 CHN 2021 Pair \n", + "3018640 CHN 2021 Pair \n", + "3018641 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "151 Contributing family workers, female (% of fema... 1.000000 \n", @@ -7356,11 +7399,11 @@ "1151 Contributing family workers, female (% of fema... 1.000000 \n", "1152 Contributing family workers, male (% of male e... 1.000000 \n", "... ... ... \n", - "1538535 Contributing family workers, male (% of male e... 0.252894 \n", - "1538536 Contributing family workers, total (% of total... 0.329385 \n", - "1539524 Contributing family workers, female (% of fema... 0.386565 \n", - "1539525 Contributing family workers, male (% of male e... 0.252894 \n", - "1539526 Contributing family workers, total (% of total... 0.329385 \n", + "3017650 Contributing family workers, male (% of male e... 0.252894 \n", + "3017651 Contributing family workers, total (% of total... 0.329385 \n", + "3018639 Contributing family workers, female (% of fema... 0.386565 \n", + "3018640 Contributing family workers, male (% of male e... 0.252894 \n", + "3018641 Contributing family workers, total (% of total... 0.329385 \n", "\n", " Short indicator \\\n", "151 Contributing family workers, female \n", @@ -7369,11 +7412,11 @@ "1151 Contributing family workers, female \n", "1152 Contributing family workers, male \n", "... ... \n", - "1538535 Contributing family workers, male \n", - "1538536 Contributing family workers, total \n", - "1539524 Contributing family workers, female \n", - "1539525 Contributing family workers, male \n", - "1539526 Contributing family workers, total \n", + "3017650 Contributing family workers, male \n", + "3017651 Contributing family workers, total \n", + "3018639 Contributing family workers, female \n", + "3018640 Contributing family workers, male \n", + "3018641 Contributing family workers, total \n", "\n", " Units \n", "151 (% of female employment) (modeled ILO estimate) \n", @@ -7382,29 +7425,35 @@ "1151 (% of female employment) (modeled ILO estimate) \n", "1152 (% of male employment) (modeled ILO estimate) \n", "... ... \n", - "1538535 (% of male employment) (modeled ILO estimate) \n", - "1538536 (% of total employment) (modeled ILO estimate) \n", - "1539524 (% of female employment) (modeled ILO estimate) \n", - "1539525 (% of male employment) (modeled ILO estimate) \n", - "1539526 (% of total employment) (modeled ILO estimate) \n", + "3017650 (% of male employment) (modeled ILO estimate) \n", + "3017651 (% of total employment) (modeled ILO estimate) \n", + "3018639 (% of female employment) (modeled ILO estimate) \n", + "3018640 (% of male employment) (modeled ILO estimate) \n", + "3018641 (% of total employment) (modeled ILO estimate) \n", "\n", - "[4545 rows x 7 columns]" + "[8898 rows x 7 columns]" ] }, - "execution_count": 47, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Checking cases of two parenthesis are both extracted.\n", "two_parent=Categorization2[Categorization2['Short indicator'].str.contains('Contributing family workers')]\n", "two_parent" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Moreover, there are some inidcators with an extra parenthesis adding some more information. As this information isn't related with units, another column named as 'other specification' has been created." + ] + }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -7506,7 +7555,7 @@ " ...\n", " \n", " \n", - " 1540358\n", + " 3019473\n", " CHN\n", " 2021\n", " Pair\n", @@ -7517,7 +7566,7 @@ " None\n", " \n", " \n", - " 1540359\n", + " 3019474\n", " CHN\n", " 2021\n", " Pair\n", @@ -7528,7 +7577,7 @@ " None\n", " \n", " \n", - " 1540360\n", + " 3019475\n", " CHN\n", " 2021\n", " Pair\n", @@ -7539,7 +7588,7 @@ " None\n", " \n", " \n", - " 1540361\n", + " 3019476\n", " CHN\n", " 2021\n", " Pair\n", @@ -7550,7 +7599,7 @@ " None\n", " \n", " \n", - " 1540362\n", + " 3019477\n", " CHN\n", " 2021\n", " Pair\n", @@ -7562,7 +7611,7 @@ " \n", " \n", "\n", - "

1372098 rows × 8 columns

\n", + "

2689563 rows × 8 columns

\n", "" ], "text/plain": [ @@ -7573,11 +7622,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1540358 CHN 2021 Pair \n", - "1540359 CHN 2021 Pair \n", - "1540360 CHN 2021 Pair \n", - "1540361 CHN 2021 Pair \n", - "1540362 CHN 2021 Pair \n", + "3019473 CHN 2021 Pair \n", + "3019474 CHN 2021 Pair \n", + "3019475 CHN 2021 Pair \n", + "3019476 CHN 2021 Pair \n", + "3019477 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -7586,11 +7635,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "1540358 GDP (current US$)+3 38.504955 \n", - "1540359 GDP (current US$)+5 31.129362 \n", - "1540360 GDP (current US$)+8 26.521259 \n", - "1540361 GDP (current US$)+13 12.731623 \n", - "1540362 GDP (current US$)+21 3.356853 \n", + "3019473 GDP (current US$)+3 38.504955 \n", + "3019474 GDP (current US$)+5 31.129362 \n", + "3019475 GDP (current US$)+8 26.521259 \n", + "3019476 GDP (current US$)+13 12.731623 \n", + "3019477 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -7599,11 +7648,11 @@ "3 Access to electricity \n", "4 Access to electricity, rural \n", "... ... \n", - "1540358 GDP+3 \n", - "1540359 GDP+5 \n", - "1540360 GDP+8 \n", - "1540361 GDP+13 \n", - "1540362 GDP+21 \n", + "3019473 GDP+3 \n", + "3019474 GDP+5 \n", + "3019475 GDP+8 \n", + "3019476 GDP+13 \n", + "3019477 GDP+21 \n", "\n", " Units Other specification \n", "0 (% of population) None \n", @@ -7612,29 +7661,35 @@ "3 (% of population) None \n", "4 (% of rural population) None \n", "... ... ... \n", - "1540358 (current US$) None \n", - "1540359 (current US$) None \n", - "1540360 (current US$) None \n", - "1540361 (current US$) None \n", - "1540362 (current US$) None \n", + "3019473 (current US$) None \n", + "3019474 (current US$) None \n", + "3019475 (current US$) None \n", + "3019476 (current US$) None \n", + "3019477 (current US$) None \n", "\n", - "[1372098 rows x 8 columns]" + "[2689563 rows x 8 columns]" ] }, - "execution_count": 48, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#As there were variables with more than one parentheses element, we are going to separate them since they are not related to units. They go into Other specification column.\n", "Categorization2[['Units','Other specification']]=Categorization2['Units'].str.split(\"\\) \", n=1,expand=True)\n", "Categorization2" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "At the end of the variable name, separated by the last \",\" it is informing us about to which subgroup makes reference the variable. Thus, there are some inidcators that have information divided for small groups. This information is shown as a new column named 'Subgroup'." + ] + }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -7743,7 +7798,7 @@ " ...\n", " \n", " \n", - " 1540358\n", + " 3019473\n", " CHN\n", " 2021\n", " Pair\n", @@ -7755,7 +7810,7 @@ " NaN\n", " \n", " \n", - " 1540359\n", + " 3019474\n", " CHN\n", " 2021\n", " Pair\n", @@ -7767,7 +7822,7 @@ " NaN\n", " \n", " \n", - " 1540360\n", + " 3019475\n", " CHN\n", " 2021\n", " Pair\n", @@ -7779,7 +7834,7 @@ " NaN\n", " \n", " \n", - " 1540361\n", + " 3019476\n", " CHN\n", " 2021\n", " Pair\n", @@ -7791,7 +7846,7 @@ " NaN\n", " \n", " \n", - " 1540362\n", + " 3019477\n", " CHN\n", " 2021\n", " Pair\n", @@ -7804,7 +7859,7 @@ " \n", " \n", "\n", - "

1372098 rows × 9 columns

\n", + "

2689563 rows × 9 columns

\n", "" ], "text/plain": [ @@ -7815,11 +7870,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1540358 CHN 2021 Pair \n", - "1540359 CHN 2021 Pair \n", - "1540360 CHN 2021 Pair \n", - "1540361 CHN 2021 Pair \n", - "1540362 CHN 2021 Pair \n", + "3019473 CHN 2021 Pair \n", + "3019474 CHN 2021 Pair \n", + "3019475 CHN 2021 Pair \n", + "3019476 CHN 2021 Pair \n", + "3019477 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -7828,11 +7883,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "1540358 GDP (current US$)+3 38.504955 \n", - "1540359 GDP (current US$)+5 31.129362 \n", - "1540360 GDP (current US$)+8 26.521259 \n", - "1540361 GDP (current US$)+13 12.731623 \n", - "1540362 GDP (current US$)+21 3.356853 \n", + "3019473 GDP (current US$)+3 38.504955 \n", + "3019474 GDP (current US$)+5 31.129362 \n", + "3019475 GDP (current US$)+8 26.521259 \n", + "3019476 GDP (current US$)+13 12.731623 \n", + "3019477 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -7841,11 +7896,11 @@ "3 Access to electricity \n", "4 Access to electricity, rural \n", "... ... \n", - "1540358 GDP+3 \n", - "1540359 GDP+5 \n", - "1540360 GDP+8 \n", - "1540361 GDP+13 \n", - "1540362 GDP+21 \n", + "3019473 GDP+3 \n", + "3019474 GDP+5 \n", + "3019475 GDP+8 \n", + "3019476 GDP+13 \n", + "3019477 GDP+21 \n", "\n", " Units Other specification Subgroup \n", "0 (% of population) None NaN \n", @@ -7854,29 +7909,35 @@ "3 (% of population) None NaN \n", "4 (% of rural population) None rural \n", "... ... ... ... \n", - "1540358 (current US$) None NaN \n", - "1540359 (current US$) None NaN \n", - "1540360 (current US$) None NaN \n", - "1540361 (current US$) None NaN \n", - "1540362 (current US$) None NaN \n", + "3019473 (current US$) None NaN \n", + "3019474 (current US$) None NaN \n", + "3019475 (current US$) None NaN \n", + "3019476 (current US$) None NaN \n", + "3019477 (current US$) None NaN \n", "\n", - "[1372098 rows x 9 columns]" + "[2689563 rows x 9 columns]" ] }, - "execution_count": 49, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Getting the subclassification of some variables that have information divided for small groups. These categorization is specified at the end of the variable separated by the last \",\".\n", "Categorization2[['Subgroup']]=Categorization2['Short indicator'].str.extract(',(?P[^,]*?)$')\n", "Categorization2" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As before, information which is shown as a new column is deleted from the origin one." + ] + }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -7985,7 +8046,7 @@ " ...\n", " \n", " \n", - " 1540358\n", + " 3019473\n", " CHN\n", " 2021\n", " Pair\n", @@ -7997,7 +8058,7 @@ " NaN\n", " \n", " \n", - " 1540359\n", + " 3019474\n", " CHN\n", " 2021\n", " Pair\n", @@ -8009,7 +8070,7 @@ " NaN\n", " \n", " \n", - " 1540360\n", + " 3019475\n", " CHN\n", " 2021\n", " Pair\n", @@ -8021,7 +8082,7 @@ " NaN\n", " \n", " \n", - " 1540361\n", + " 3019476\n", " CHN\n", " 2021\n", " Pair\n", @@ -8033,7 +8094,7 @@ " NaN\n", " \n", " \n", - " 1540362\n", + " 3019477\n", " CHN\n", " 2021\n", " Pair\n", @@ -8046,7 +8107,7 @@ " \n", " \n", "\n", - "

1372098 rows × 9 columns

\n", + "

2689563 rows × 9 columns

\n", "" ], "text/plain": [ @@ -8057,11 +8118,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1540358 CHN 2021 Pair \n", - "1540359 CHN 2021 Pair \n", - "1540360 CHN 2021 Pair \n", - "1540361 CHN 2021 Pair \n", - "1540362 CHN 2021 Pair \n", + "3019473 CHN 2021 Pair \n", + "3019474 CHN 2021 Pair \n", + "3019475 CHN 2021 Pair \n", + "3019476 CHN 2021 Pair \n", + "3019477 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -8070,11 +8131,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "1540358 GDP (current US$)+3 38.504955 \n", - "1540359 GDP (current US$)+5 31.129362 \n", - "1540360 GDP (current US$)+8 26.521259 \n", - "1540361 GDP (current US$)+13 12.731623 \n", - "1540362 GDP (current US$)+21 3.356853 \n", + "3019473 GDP (current US$)+3 38.504955 \n", + "3019474 GDP (current US$)+5 31.129362 \n", + "3019475 GDP (current US$)+8 26.521259 \n", + "3019476 GDP (current US$)+13 12.731623 \n", + "3019477 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -8083,11 +8144,11 @@ "3 Access to electricity \n", "4 Access to electricity \n", "... ... \n", - "1540358 GDP+3 \n", - "1540359 GDP+5 \n", - "1540360 GDP+8 \n", - "1540361 GDP+13 \n", - "1540362 GDP+21 \n", + "3019473 GDP+3 \n", + "3019474 GDP+5 \n", + "3019475 GDP+8 \n", + "3019476 GDP+13 \n", + "3019477 GDP+21 \n", "\n", " Units Other specification Subgroup \n", "0 (% of population) None NaN \n", @@ -8096,40 +8157,52 @@ "3 (% of population) None NaN \n", "4 (% of rural population) None rural \n", "... ... ... ... \n", - "1540358 (current US$) None NaN \n", - "1540359 (current US$) None NaN \n", - "1540360 (current US$) None NaN \n", - "1540361 (current US$) None NaN \n", - "1540362 (current US$) None NaN \n", + "3019473 (current US$) None NaN \n", + "3019474 (current US$) None NaN \n", + "3019475 (current US$) None NaN \n", + "3019476 (current US$) None NaN \n", + "3019477 (current US$) None NaN \n", "\n", - "[1372098 rows x 9 columns]" + "[2689563 rows x 9 columns]" ] }, - "execution_count": 50, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Delete the extracted information from origin column. \n", "Categorization2['Short indicator']=Categorization2['Short indicator'].str.replace(',(?P[^,]*?)$',\"\")\n", "Categorization2" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "All the indicators don't have these elements. So, a checking point is needed." + ] + }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 54, "metadata": {}, "outputs": [], "source": [ - "#Checking of previous step, as not all of them have this element.\n", "Categorization2['Subgroup']=Categorization2['Subgroup'].replace(['None'],['total'])\n", "Categorization2['Subgroup']=Categorization2['Subgroup'].fillna('total')" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are some duplicate variables which should be removed too." + ] + }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -8238,7 +8311,7 @@ " ...\n", " \n", " \n", - " 1540358\n", + " 3019473\n", " CHN\n", " 2021\n", " Pair\n", @@ -8250,7 +8323,7 @@ " total\n", " \n", " \n", - " 1540359\n", + " 3019474\n", " CHN\n", " 2021\n", " Pair\n", @@ -8262,7 +8335,7 @@ " total\n", " \n", " \n", - " 1540360\n", + " 3019475\n", " CHN\n", " 2021\n", " Pair\n", @@ -8274,7 +8347,7 @@ " total\n", " \n", " \n", - " 1540361\n", + " 3019476\n", " CHN\n", " 2021\n", " Pair\n", @@ -8286,7 +8359,7 @@ " total\n", " \n", " \n", - " 1540362\n", + " 3019477\n", " CHN\n", " 2021\n", " Pair\n", @@ -8299,7 +8372,7 @@ " \n", " \n", "\n", - "

1157276 rows × 9 columns

\n", + "

1159714 rows × 9 columns

\n", "" ], "text/plain": [ @@ -8310,11 +8383,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1540358 CHN 2021 Pair \n", - "1540359 CHN 2021 Pair \n", - "1540360 CHN 2021 Pair \n", - "1540361 CHN 2021 Pair \n", - "1540362 CHN 2021 Pair \n", + "3019473 CHN 2021 Pair \n", + "3019474 CHN 2021 Pair \n", + "3019475 CHN 2021 Pair \n", + "3019476 CHN 2021 Pair \n", + "3019477 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -8323,11 +8396,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "1540358 GDP (current US$)+3 38.504955 \n", - "1540359 GDP (current US$)+5 31.129362 \n", - "1540360 GDP (current US$)+8 26.521259 \n", - "1540361 GDP (current US$)+13 12.731623 \n", - "1540362 GDP (current US$)+21 3.356853 \n", + "3019473 GDP (current US$)+3 38.504955 \n", + "3019474 GDP (current US$)+5 31.129362 \n", + "3019475 GDP (current US$)+8 26.521259 \n", + "3019476 GDP (current US$)+13 12.731623 \n", + "3019477 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -8336,11 +8409,11 @@ "3 Access to electricity \n", "4 Access to electricity \n", "... ... \n", - "1540358 GDP+3 \n", - "1540359 GDP+5 \n", - "1540360 GDP+8 \n", - "1540361 GDP+13 \n", - "1540362 GDP+21 \n", + "3019473 GDP+3 \n", + "3019474 GDP+5 \n", + "3019475 GDP+8 \n", + "3019476 GDP+13 \n", + "3019477 GDP+21 \n", "\n", " Units Other specification Subgroup \n", "0 (% of population) None total \n", @@ -8349,28 +8422,34 @@ "3 (% of population) None total \n", "4 (% of rural population) None rural \n", "... ... ... ... \n", - "1540358 (current US$) None total \n", - "1540359 (current US$) None total \n", - "1540360 (current US$) None total \n", - "1540361 (current US$) None total \n", - "1540362 (current US$) None total \n", + "3019473 (current US$) None total \n", + "3019474 (current US$) None total \n", + "3019475 (current US$) None total \n", + "3019476 (current US$) None total \n", + "3019477 (current US$) None total \n", "\n", - "[1157276 rows x 9 columns]" + "[1159714 rows x 9 columns]" ] }, - "execution_count": 52, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Step to remove duplicate variables.\n", "Categorization2.drop_duplicates(subset=['Country','Year','Short indicator','Continent','Subgroup'], keep='first')" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Reordering columns, categorization3 is our df after all these division in categories." + ] + }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -8479,7 +8558,7 @@ " ...\n", " \n", " \n", - " 1540358\n", + " 3019473\n", " CHN\n", " 2021\n", " Pair\n", @@ -8491,7 +8570,7 @@ " None\n", " \n", " \n", - " 1540359\n", + " 3019474\n", " CHN\n", " 2021\n", " Pair\n", @@ -8503,7 +8582,7 @@ " None\n", " \n", " \n", - " 1540360\n", + " 3019475\n", " CHN\n", " 2021\n", " Pair\n", @@ -8515,7 +8594,7 @@ " None\n", " \n", " \n", - " 1540361\n", + " 3019476\n", " CHN\n", " 2021\n", " Pair\n", @@ -8527,7 +8606,7 @@ " None\n", " \n", " \n", - " 1540362\n", + " 3019477\n", " CHN\n", " 2021\n", " Pair\n", @@ -8540,7 +8619,7 @@ " \n", " \n", "\n", - "

1372098 rows × 9 columns

\n", + "

2689563 rows × 9 columns

\n", "" ], "text/plain": [ @@ -8551,11 +8630,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "1540358 CHN 2021 Pair \n", - "1540359 CHN 2021 Pair \n", - "1540360 CHN 2021 Pair \n", - "1540361 CHN 2021 Pair \n", - "1540362 CHN 2021 Pair \n", + "3019473 CHN 2021 Pair \n", + "3019474 CHN 2021 Pair \n", + "3019475 CHN 2021 Pair \n", + "3019476 CHN 2021 Pair \n", + "3019477 CHN 2021 Pair \n", "\n", " Indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -8564,11 +8643,11 @@ "3 Access to electricity (% of population) \n", "4 Access to electricity, rural (% of rural popul... \n", "... ... \n", - "1540358 GDP (current US$)+3 \n", - "1540359 GDP (current US$)+5 \n", - "1540360 GDP (current US$)+8 \n", - "1540361 GDP (current US$)+13 \n", - "1540362 GDP (current US$)+21 \n", + "3019473 GDP (current US$)+3 \n", + "3019474 GDP (current US$)+5 \n", + "3019475 GDP (current US$)+8 \n", + "3019476 GDP (current US$)+13 \n", + "3019477 GDP (current US$)+21 \n", "\n", " Short indicator Value \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -8577,11 +8656,11 @@ "3 Access to electricity 1.000000 \n", "4 Access to electricity 1.000000 \n", "... ... ... \n", - "1540358 GDP+3 38.504955 \n", - "1540359 GDP+5 31.129362 \n", - "1540360 GDP+8 26.521259 \n", - "1540361 GDP+13 12.731623 \n", - "1540362 GDP+21 3.356853 \n", + "3019473 GDP+3 38.504955 \n", + "3019474 GDP+5 31.129362 \n", + "3019475 GDP+8 26.521259 \n", + "3019476 GDP+13 12.731623 \n", + "3019477 GDP+21 3.356853 \n", "\n", " Subgroup Units Other specification \n", "0 total (% of population) None \n", @@ -8590,22 +8669,21 @@ "3 total (% of population) None \n", "4 rural (% of rural population) None \n", "... ... ... ... \n", - "1540358 total (current US$) None \n", - "1540359 total (current US$) None \n", - "1540360 total (current US$) None \n", - "1540361 total (current US$) None \n", - "1540362 total (current US$) None \n", + "3019473 total (current US$) None \n", + "3019474 total (current US$) None \n", + "3019475 total (current US$) None \n", + "3019476 total (current US$) None \n", + "3019477 total (current US$) None \n", "\n", - "[1372098 rows x 9 columns]" + "[2689563 rows x 9 columns]" ] }, - "execution_count": 53, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Reordering columns. Categorization3 is our df after all these division in categories.\n", "Categorization2.rename(columns={Categorization2.columns[4]:'Value'},inplace=True)\n", "Categorization3=Categorization2[['Country','Year','Continent','Indicator','Short indicator','Value','Subgroup','Units','Other specification']]\n", "Categorization3" @@ -8627,7 +8705,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -8736,7 +8814,7 @@ " ...\n", " \n", " \n", - " 1540358\n", + " 3019473\n", " CHN\n", " 2021\n", " Pair\n", @@ -8748,7 +8826,7 @@ " None\n", " \n", " \n", - " 1540359\n", + " 3019474\n", " CHN\n", " 2021\n", " Pair\n", @@ -8760,7 +8838,7 @@ " None\n", " \n", " \n", - " 1540360\n", + " 3019475\n", " CHN\n", " 2021\n", " Pair\n", @@ -8772,7 +8850,7 @@ " None\n", " \n", " \n", - " 1540361\n", + " 3019476\n", " CHN\n", " 2021\n", " Pair\n", @@ -8784,7 +8862,7 @@ " None\n", " \n", " \n", - " 1540362\n", + " 3019477\n", " CHN\n", " 2021\n", " Pair\n", @@ -8797,7 +8875,7 @@ " \n", " \n", "\n", - "

687830 rows × 9 columns

\n", + "

1348868 rows × 9 columns

\n", "" ], "text/plain": [ @@ -8808,11 +8886,11 @@ "20 DEU 1990 Europe \n", "23 DEU 1990 Europe \n", "... ... ... ... \n", - "1540358 CHN 2021 Pair \n", - "1540359 CHN 2021 Pair \n", - "1540360 CHN 2021 Pair \n", - "1540361 CHN 2021 Pair \n", - "1540362 CHN 2021 Pair \n", + "3019473 CHN 2021 Pair \n", + "3019474 CHN 2021 Pair \n", + "3019475 CHN 2021 Pair \n", + "3019476 CHN 2021 Pair \n", + "3019477 CHN 2021 Pair \n", "\n", " Indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -8821,11 +8899,11 @@ "20 Adjusted net national income (current US$) \n", "23 Adjusted net national income per capita (curre... \n", "... ... \n", - "1540358 GDP (current US$)+3 \n", - "1540359 GDP (current US$)+5 \n", - "1540360 GDP (current US$)+8 \n", - "1540361 GDP (current US$)+13 \n", - "1540362 GDP (current US$)+21 \n", + "3019473 GDP (current US$)+3 \n", + "3019474 GDP (current US$)+5 \n", + "3019475 GDP (current US$)+8 \n", + "3019476 GDP (current US$)+13 \n", + "3019477 GDP (current US$)+21 \n", "\n", " Short indicator Value \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -8834,11 +8912,11 @@ "20 Adjusted net national income 1.000000 \n", "23 Adjusted net national income per capita 1.000000 \n", "... ... ... \n", - "1540358 GDP+3 38.504955 \n", - "1540359 GDP+5 31.129362 \n", - "1540360 GDP+8 26.521259 \n", - "1540361 GDP+13 12.731623 \n", - "1540362 GDP+21 3.356853 \n", + "3019473 GDP+3 38.504955 \n", + "3019474 GDP+5 31.129362 \n", + "3019475 GDP+8 26.521259 \n", + "3019476 GDP+13 12.731623 \n", + "3019477 GDP+21 3.356853 \n", "\n", " Subgroup Units Other specification \n", "0 total (% of population) None \n", @@ -8847,16 +8925,16 @@ "20 total (current US$) None \n", "23 total (current US$) None \n", "... ... ... ... \n", - "1540358 total (current US$) None \n", - "1540359 total (current US$) None \n", - "1540360 total (current US$) None \n", - "1540361 total (current US$) None \n", - "1540362 total (current US$) None \n", + "3019473 total (current US$) None \n", + "3019474 total (current US$) None \n", + "3019475 total (current US$) None \n", + "3019476 total (current US$) None \n", + "3019477 total (current US$) None \n", "\n", - "[687830 rows x 9 columns]" + "[1348868 rows x 9 columns]" ] }, - "execution_count": 54, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -8868,7 +8946,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 58, "metadata": {}, "outputs": [], "source": [ @@ -8877,7 +8955,7 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 59, "metadata": {}, "outputs": [], "source": [ @@ -8895,7 +8973,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 60, "metadata": {}, "outputs": [], "source": [ @@ -8920,1118 +8998,56 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 61, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "
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1536 rows × 480 columns

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"1533 14.847484 \n", - "1534 14.847484 \n", - "1535 14.847484 \n", - "\n", - " Adjusted savings: consumption of fixed capital (current US$) \\\n", - "0 1.000000 \n", - "1 1.054581 \n", - "2 1.220571 \n", - "3 1.216117 \n", - "4 1.294439 \n", - "... ... \n", - "1531 56.996823 \n", - "1532 65.494055 \n", - "1533 68.294754 \n", - "1534 68.294754 \n", - "1535 68.294754 \n", - "\n", - " Adjusted savings: education expenditure (current US$) ... \\\n", - "0 1.000000 ... \n", - "1 1.047441 ... \n", - "2 1.193800 ... \n", - "3 1.158604 ... \n", - "4 1.230977 ... \n", - "... ... ... \n", - "1531 34.069173 ... \n", - "1532 38.276891 ... \n", - "1533 39.457335 ... \n", - "1534 39.457335 ... \n", - "1535 39.457335 ... \n", - "\n", - " Urban population living in areas where elevation is below 5 meters (% of total population) \\\n", - "0 1.000000 \n", - "1 0.999209 \n", - "2 0.998418 \n", - "3 0.997627 \n", - "4 0.996836 \n", - "... ... \n", - "1531 1.362819 \n", - "1532 1.362819 \n", - "1533 1.362819 \n", - 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] - }, - { - "cell_type": "code", - "execution_count": 88, - "metadata": {}, - "outputs": [], - "source": [ - "multcolumn(df_study)" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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1536 rows × 1911 columns

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" - ], "text/plain": [ - " Country Year \\\n", - "0 DEU 1990 \n", - "1 DEU 1991 \n", - "2 DEU 1992 \n", - "3 DEU 1993 \n", - "4 DEU 1994 \n", - "... ... ... \n", - "1531 CHN 2017 \n", - "1532 CHN 2018 \n", - "1533 CHN 2019 \n", - "1534 CHN 2020 \n", - "1535 CHN 2021 \n", - "\n", - " Access to clean fuels and technologies for cooking (% of population).l \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.000000 \n", - "3 1.000000 \n", - "4 1.000000 \n", - "... ... \n", - "1531 1.742857 \n", - "1532 1.800000 \n", - "1533 1.847619 \n", - "1534 1.890476 \n", - "1535 1.890476 \n", - "\n", - " Access to electricity (% of population).l \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.000000 \n", - "3 1.000000 \n", - "4 1.000000 \n", - "... ... \n", - "1531 1.030696 \n", - "1532 1.030696 \n", - "1533 1.030696 \n", - "1534 1.030696 \n", - "1535 1.030696 \n", - "\n", - " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+).l \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.000000 \n", - "3 1.000000 \n", - "4 1.000000 \n", - "... ... \n", - "1531 1.257169 \n", - "1532 1.257169 \n", - "1533 1.257169 \n", - "1534 1.257169 \n", - "1535 1.257169 \n", - "\n", - " Adjusted net national income (current US$).l \\\n", - "0 1.000000 \n", - "1 1.046360 \n", - "2 1.189340 \n", - "3 1.148470 \n", - "4 1.220005 \n", - "... ... \n", - "1531 33.119857 \n", - "1532 36.984833 \n", - "1533 38.098179 \n", - "1534 38.098179 \n", - "1535 38.098179 \n", - "\n", - " Adjusted net national income per capita (current US$).l \\\n", - "0 1.000000 \n", - "1 1.038764 \n", - "2 1.171763 \n", - "3 1.124083 \n", - "4 1.189964 \n", - "... ... \n", - "1531 26.927920 \n", - "1532 29.930015 \n", - "1533 30.721815 \n", - "1534 30.721815 \n", - "1535 30.721815 \n", - "\n", - " Adjusted savings: carbon dioxide damage (current US$).l \\\n", - "0 1.000000 \n", - "1 1.000000 \n", - "2 1.003072 \n", - "3 1.033073 \n", - "4 1.064017 \n", - "... ... \n", - "1531 12.905776 \n", - "1532 13.928500 \n", - "1533 14.847484 \n", - "1534 14.847484 \n", - "1535 14.847484 \n", - "\n", - " Adjusted savings: consumption of fixed capital (current US$).l \\\n", - "0 1.000000 \n", - "1 1.054581 \n", - "2 1.220571 \n", - "3 1.216117 \n", - "4 1.294439 \n", - "... ... \n", - "1531 56.996823 \n", - "1532 65.494055 \n", - "1533 68.294754 \n", - "1534 68.294754 \n", - "1535 68.294754 \n", - "\n", - " Adjusted savings: education expenditure (current US$).l ... \\\n", - "0 1.000000 ... \n", - "1 1.047441 ... \n", - "2 1.193800 ... \n", - "3 1.158604 ... \n", - "4 1.230977 ... \n", - "... ... ... \n", - "1531 34.069173 ... \n", - "1532 38.276891 ... \n", - "1533 39.457335 ... \n", - "1534 39.457335 ... \n", - "1535 39.457335 ... \n", - "\n", - " Technical cooperation grants (BoP, current US$).log \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", - "... ... \n", - "1531 0.291987 \n", - "1532 0.313754 \n", - "1533 0.400631 \n", - "1534 0.400631 \n", - "1535 0.400631 \n", - "\n", - " People practicing open defecation (% of population).^2 \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", - "... ... \n", - "1531 0.044181 \n", - "1532 0.033007 \n", - "1533 0.024080 \n", - "1534 0.017056 \n", - "1535 0.017056 \n", - "\n", - " People practicing open defecation (% of population).^3 \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", - "... ... \n", - "1531 0.009287 \n", - "1532 0.005997 \n", - "1533 0.003737 \n", - "1534 0.002228 \n", - "1535 0.002228 \n", - "\n", - " People practicing open defecation (% of population).log \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", - "... ... \n", - "1531 -1.559729 \n", - "1532 -1.705522 \n", - "1533 -1.863192 \n", - "1534 -2.035615 \n", - "1535 -2.035615 \n", - "\n", - " Taxes on exports (% of tax revenue).^2 \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", - "... ... \n", - "1531 NaN \n", - "1532 NaN \n", - "1533 NaN \n", - "1534 NaN \n", - "1535 NaN \n", - "\n", - " Taxes on exports (% of tax revenue).^3 \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", - "... ... \n", - "1531 NaN \n", - "1532 NaN \n", - "1533 NaN \n", - "1534 NaN \n", - "1535 NaN \n", - "\n", - " Taxes on exports (% of tax revenue).log \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", - "... ... \n", - "1531 NaN \n", - "1532 NaN \n", - "1533 NaN \n", - "1534 NaN \n", - "1535 NaN \n", - "\n", - " Adjusted savings: net forest depletion (current US$).^2 \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", - "... ... \n", - "1531 NaN \n", - "1532 NaN \n", - "1533 NaN \n", - "1534 NaN \n", - "1535 NaN \n", - "\n", - " Adjusted savings: net forest depletion (current US$).^3 \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", - "... ... \n", - "1531 NaN \n", - "1532 NaN \n", - "1533 NaN \n", - "1534 NaN \n", - "1535 NaN \n", - "\n", - " Adjusted savings: net forest depletion (current US$).log \n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", - "... ... \n", - "1531 NaN \n", - "1532 NaN \n", - "1533 NaN \n", - "1534 NaN \n", - "1535 NaN \n", - "\n", - "[1536 rows x 1911 columns]" + "0 1.000000\n", + "1 1.054905\n", + "2 1.203142\n", + "3 1.169136\n", + "4 1.244629\n", + " ... \n", + "3003 34.114284\n", + "3004 38.504955\n", + "3005 39.572189\n", + "3006 40.799246\n", + "3007 40.799246\n", + "Name: GDP (current US$), Length: 3008, dtype: float64" ] }, - "execution_count": 89, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_study" + "df= pd.read_csv (os.getcwd()+'/WDI/'+'GoldenDataFrame.csv')\n", + "df_study=df[[c for c in df.columns if c in columns]]\n", + "df_study['GDP (current US$)']\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Firstly we are going to create two lists for the variables, which their p-value is under 0.05 for each correlation, so later on, we can calculate only the correlations of those variables." + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "multcolumn(df_study)" ] }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 63, "metadata": {}, "outputs": [], "source": [ @@ -10069,7 +9085,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 64, "metadata": {}, "outputs": [], "source": [ @@ -10091,7 +9107,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 65, "metadata": {}, "outputs": [], "source": [ @@ -10109,7 +9125,7 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ @@ -10129,7 +9145,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 67, "metadata": {}, "outputs": [], "source": [ @@ -10149,7 +9165,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 68, "metadata": {}, "outputs": [], "source": [ @@ -10171,7 +9187,7 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ @@ -10193,7 +9209,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 70, "metadata": {}, "outputs": [], "source": [ @@ -10220,7 +9236,7 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 71, "metadata": {}, "outputs": [], "source": [ @@ -10238,7 +9254,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 72, "metadata": {}, "outputs": [ { @@ -10379,7 +9395,7 @@ " ...\n", " \n", " \n", - " 5948\n", + " 5949\n", " Prevalence of anemia among women of reproducti...\n", " 0.793298\n", " Logarithmic\n", @@ -10388,7 +9404,7 @@ " 0.752969\n", " \n", " \n", - " 5949\n", + " 5950\n", " Logistics performance index: Ability to track ...\n", " 0.788049\n", " Logarithmic\n", @@ -10397,7 +9413,7 @@ " 0.926947\n", " \n", " \n", - " 5950\n", + " 5951\n", " Logistics performance index: Competence and qu...\n", " 0.788049\n", " Logarithmic\n", @@ -10406,7 +9422,7 @@ " 0.890297\n", " \n", " \n", - " 5951\n", + " 5952\n", " Out-of-pocket expenditure (% of current health...\n", " 0.782573\n", " Logarithmic\n", @@ -10415,7 +9431,7 @@ " 0.929883\n", " \n", " \n", - " 5952\n", + " 5953\n", " Domestic general government health expenditure...\n", " 0.758910\n", " Cubic\n", @@ -10425,7 +9441,7 @@ " \n", " \n", "\n", - "

5953 rows × 6 columns

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5954 rows × 6 columns

\n", "" ], "text/plain": [ @@ -10436,11 +9452,11 @@ "3 Gross national expenditure (current US$) 0.990490 \n", "4 Final consumption expenditure (current US$) 0.988302 \n", "... ... ... \n", - "5948 Prevalence of anemia among women of reproducti... 0.793298 \n", - "5949 Logistics performance index: Ability to track ... 0.788049 \n", - "5950 Logistics performance index: Competence and qu... 0.788049 \n", - "5951 Out-of-pocket expenditure (% of current health... 0.782573 \n", - "5952 Domestic general government health expenditure... 0.758910 \n", + "5949 Prevalence of anemia among women of reproducti... 0.793298 \n", + "5950 Logistics performance index: Ability to track ... 0.788049 \n", + "5951 Logistics performance index: Competence and qu... 0.788049 \n", + "5952 Out-of-pocket expenditure (% of current health... 0.782573 \n", + "5953 Domestic general government health expenditure... 0.758910 \n", "\n", " Type Behaviour Country R^2 Pearson \n", "0 Linear Positive DEU 0.999141 \n", @@ -10449,13 +9465,13 @@ "3 Linear Positive DEU 0.997181 \n", "4 Linear Positive DEU 0.996540 \n", "... ... ... ... ... \n", - "5948 Logarithmic Negative CHN 0.752969 \n", - "5949 Logarithmic Positive CHN 0.926947 \n", - "5950 Logarithmic Positive CHN 0.890297 \n", - "5951 Logarithmic Negative CHN 0.929883 \n", - "5952 Cubic Positive CHN 0.797637 \n", + "5949 Logarithmic Negative CHN 0.752969 \n", + "5950 Logarithmic Positive CHN 0.926947 \n", + "5951 Logarithmic Positive CHN 0.890297 \n", + "5952 Logarithmic Negative CHN 0.929883 \n", + "5953 Cubic Positive CHN 0.797637 \n", "\n", - "[5953 rows x 6 columns]" + "[5954 rows x 6 columns]" ] }, "metadata": {}, @@ -10467,8 +9483,8 @@ "spearmandf\n", "for i in range(1,len(clist)):\n", " dat=df_study.loc[df_study.loc[:, 'Country'] == clist[i]]\n", - " listacorpe=['GDP (current US$).l']\n", - " listacorsp=['GDP (current US$).l']\n", + " listacorpe=[]\n", + " listacorsp=[]\n", " clmns=dat.columns.values.tolist()\n", " dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", " for c in range(0, len(clmns)):\n", @@ -10553,14 +9569,22 @@ " maxp_df=maxp_df.sort_values(by = 'R^2 Pearson',ascending = False)\n", " pearsondf=pd.concat((pearsondf, maxp_df), axis = 0)\n", " spearmandf=pd.concat((spearmandf, maxs_df), axis = 0)\n", + " print(i)\n", "\n", "corrtable=spearmandf.merge(pearsondf, left_on=('Indicator', 'Country','Type','Behaviour'), right_on=('Indicator', 'Country','Type','Behaviour'))\n", "display(corrtable)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, a table has been created showing the number of times a variable has a high relationship in our 48 countries. These that appear many times will be interesting for us to draw conclusions. Then, we will checck if they are primary or seconday variable type." + ] + }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 73, "metadata": {}, "outputs": [], "source": [ @@ -10570,7 +9594,7 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -10689,7 +9713,7 @@ "[403 rows x 2 columns]" ] }, - "execution_count": 101, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -10704,246 +9728,6 @@ "df_indicators" ] }, - { - "cell_type": "code", - "execution_count": 102, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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CountryYearContinentIndicatorShort indicatorValueSubgroupUnitsOther specification
0DEU1990EuropeAccess to clean fuels and technologies for coo...Access to clean fuels and technologies for coo...1.000000total(% of population)None
3DEU1990EuropeAccess to electricity (% of population)Access to electricity1.000000total(% of population)None
6DEU1990EuropeAccount ownership at a financial institution o...Account ownership at a financial institution o...1.000000total(% of population ages 15+)None
20DEU1990EuropeAdjusted net national income (current US$)Adjusted net national income1.000000total(current US$)None
23DEU1990EuropeAdjusted net national income per capita (curre...Adjusted net national income per capita1.000000total(current US$)None
..............................
1540358CHN2021PairGDP (current US$)+3GDP+338.504955total(current US$)None
1540359CHN2021PairGDP (current US$)+5GDP+531.129362total(current US$)None
1540360CHN2021PairGDP (current US$)+8GDP+826.521259total(current US$)None
1540361CHN2021PairGDP (current US$)+13GDP+1312.731623total(current US$)None
1540362CHN2021PairGDP (current US$)+21GDP+213.356853total(current US$)None
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687830 rows × 9 columns

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" - ], - "text/plain": [ - " Country Year Continent \\\n", - "0 DEU 1990 Europe \n", - "3 DEU 1990 Europe \n", - "6 DEU 1990 Europe \n", - "20 DEU 1990 Europe \n", - "23 DEU 1990 Europe \n", - "... ... ... ... \n", - "1540358 CHN 2021 Pair \n", - "1540359 CHN 2021 Pair \n", - "1540360 CHN 2021 Pair \n", - "1540361 CHN 2021 Pair \n", - "1540362 CHN 2021 Pair \n", - "\n", - " Indicator \\\n", - "0 Access to clean fuels and technologies for coo... \n", - "3 Access to electricity (% of population) \n", - "6 Account ownership at a financial institution o... \n", - "20 Adjusted net national income (current US$) \n", - "23 Adjusted net national income per capita (curre... \n", - "... ... \n", - "1540358 GDP (current US$)+3 \n", - "1540359 GDP (current US$)+5 \n", - "1540360 GDP (current US$)+8 \n", - "1540361 GDP (current US$)+13 \n", - "1540362 GDP (current US$)+21 \n", - "\n", - " Short indicator Value \\\n", - "0 Access to clean fuels and technologies for coo... 1.000000 \n", - "3 Access to electricity 1.000000 \n", - "6 Account ownership at a financial institution o... 1.000000 \n", - "20 Adjusted net national income 1.000000 \n", - "23 Adjusted net national income per capita 1.000000 \n", - "... ... ... \n", - "1540358 GDP+3 38.504955 \n", - "1540359 GDP+5 31.129362 \n", - "1540360 GDP+8 26.521259 \n", - "1540361 GDP+13 12.731623 \n", - "1540362 GDP+21 3.356853 \n", - "\n", - " Subgroup Units Other specification \n", - "0 total (% of population) None \n", - "3 total (% of population) None \n", - "6 total (% of population ages 15+) None \n", - "20 total (current US$) None \n", - "23 total (current US$) None \n", - "... ... ... ... \n", - "1540358 total (current US$) None \n", - "1540359 total (current US$) None \n", - "1540360 total (current US$) None \n", - "1540361 total (current US$) None \n", - "1540362 total (current US$) None \n", - "\n", - "[687830 rows x 9 columns]" - ] - }, - "execution_count": 102, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Categorization4" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -10964,7 +9748,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -10974,7 +9758,7 @@ "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\amarchve\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 105\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m unique_tri \u001b[39m=\u001b[39m demo2[\u001b[39m'\u001b[39m\u001b[39mIndicator\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39munique()\n\u001b[0;32m 2\u001b[0m tri \u001b[39m=\u001b[39m widgets\u001b[39m.\u001b[39mSelectMultiple(\n\u001b[0;32m 3\u001b[0m options \u001b[39m=\u001b[39m unique_tri\u001b[39m.\u001b[39mtolist(),\n\u001b[0;32m 4\u001b[0m value \u001b[39m=\u001b[39m [\u001b[39m'\u001b[39m\u001b[39mExports-G&S\u001b[39m\u001b[39m'\u001b[39m],\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 7\u001b[0m layout \u001b[39m=\u001b[39m Layout(width\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m50\u001b[39m\u001b[39m%\u001b[39m\u001b[39m'\u001b[39m, height\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m80px\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m 8\u001b[0m )\n\u001b[0;32m 10\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mgraf1\u001b[39m(tri):\n", + "\u001b[1;32mc:\\Users\\msanchis\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 131\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m unique_tri \u001b[39m=\u001b[39m demo2[\u001b[39m'\u001b[39m\u001b[39mIndicator\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39munique()\n\u001b[0;32m 2\u001b[0m tri \u001b[39m=\u001b[39m widgets\u001b[39m.\u001b[39mSelectMultiple(\n\u001b[0;32m 3\u001b[0m options \u001b[39m=\u001b[39m unique_tri\u001b[39m.\u001b[39mtolist(),\n\u001b[0;32m 4\u001b[0m value \u001b[39m=\u001b[39m [\u001b[39m'\u001b[39m\u001b[39mExports-G&S\u001b[39m\u001b[39m'\u001b[39m],\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 7\u001b[0m layout \u001b[39m=\u001b[39m Layout(width\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m50\u001b[39m\u001b[39m%\u001b[39m\u001b[39m'\u001b[39m, height\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m80px\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m 8\u001b[0m )\n\u001b[0;32m 10\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mgraf1\u001b[39m(tri):\n", "\u001b[1;31mNameError\u001b[0m: name 'demo2' is not defined" ] } @@ -14604,7 +13388,7 @@ }, "vscode": { "interpreter": { - "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" + "hash": "0581013962d1422e924d6baa4c1347697ec037e3370ec501496e00dda3f2654b" } } }, From 978bebc0638e66285731dda4451db405198c6e9c Mon Sep 17 00:00:00 2001 From: msanchis Date: Wed, 27 Jul 2022 09:14:37 +0200 Subject: [PATCH 30/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 19 +++++++++++++------ 1 file changed, 13 insertions(+), 6 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 07ee804..6d8d042 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -2792,7 +2792,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Here we attempt the backward filling. (Filling the previous cell with future values)" + "Here we attempt the backward filling, filling the previous cell with future values." ] }, { @@ -2827,7 +2827,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Here we will attempt the forward filling. (Filling the next cell with previous values)" + "Here we will attempt the forward filling, which concists of filling the next cell with previous values." ] }, { @@ -2858,6 +2858,13 @@ "data.isna().sum().sum()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The linear interpolation a form of interpolation, which involves the generation of new values based on an existing set of values. Linear interpolation is achieved by geometrically rendering a straight line between two adjacent points on a graph or plane. Whereas the backwards filling, will help us to arrive to those values which have not been fullfilled with the linear interpolation." + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -2968,14 +2975,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Fix explanation" + "##### Conclusion" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Therefore, the preferred method for the Nan values´ treatment that we are going to develop is a mix, between the linear interpolation and backwards filling. The linear interpolation a form of interpolation, which involves the generation of new values based on an existing set of values. Linear interpolation is achieved by geometrically rendering a straight line between two adjacent points on a graph or plane. Whereas the backwards filling, will help us to arrive to those values which have not been fullfilled with the linear interpolation." + "Therefore, the preferred method for the Nan values´ treatment that we are going to develop is a mix, between the linear interpolation and backwards filling." ] }, { @@ -6335,7 +6342,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "CATEGORISATION OF VARIABLES FOR A DEEPER STUDY" + "#### CATEGORISATION OF VARIABLES FOR A DEEPER STUDY" ] }, { @@ -8700,7 +8707,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "FROM HERE ON, FOCUS OUR STUDY ON THE INDICATORS AT A FIRST LEVEL, WHERE WE SELECT THOSE SUBGROUP=TOTAL." + "#### CORRELATION STUDY" ] }, { From e380048bde95be57fffbe7b5687e9f81c96e883e Mon Sep 17 00:00:00 2001 From: msanchis Date: Wed, 27 Jul 2022 14:18:58 +0200 Subject: [PATCH 31/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 2432 ++++++++++++++++++++++++++++++++------- 1 file changed, 2039 insertions(+), 393 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 6d8d042..70ec3de 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -953,7 +953,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 12, @@ -4594,7 +4594,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -4908,7 +4908,7 @@ " \n", " \n", "\n", - "

3008 rows × 1060 columns

\n", + "

1536 rows × 1060 columns

\n", "" ], "text/plain": [ @@ -5159,10 +5159,10 @@ "254 1.273684 \n", "255 1.273684 \n", "\n", - "[3008 rows x 1060 columns]" + "[1536 rows x 1060 columns]" ] }, - "execution_count": 36, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -5179,7 +5179,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -5493,7 +5493,7 @@ " \n", " \n", "\n", - "

3008 rows × 1067 columns

\n", + "

1536 rows × 1067 columns

\n", "" ], "text/plain": [ @@ -5705,10 +5705,10 @@ "254 3.031657 \n", "255 3.356853 \n", "\n", - "[3008 rows x 1067 columns]" + "[1536 rows x 1067 columns]" ] }, - "execution_count": 38, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -5730,7 +5730,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -5753,7 +5753,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -5785,7 +5785,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -6099,7 +6099,7 @@ " \n", " \n", "\n", - "

3008 rows × 1068 columns

\n", + "

1536 rows × 1068 columns

\n", "" ], "text/plain": [ @@ -6298,10 +6298,10 @@ "254 3.031657 Pair \n", "255 3.356853 Pair \n", "\n", - "[3008 rows x 1068 columns]" + "[1536 rows x 1068 columns]" ] }, - "execution_count": 41, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -6321,7 +6321,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -6330,7 +6330,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -6354,7 +6354,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -6364,7 +6364,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -6452,7 +6452,7 @@ " ...\n", " \n", " \n", - " 3019473\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", @@ -6461,7 +6461,7 @@ " GDP (current US$)+3\n", " \n", " \n", - " 3019474\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", @@ -6470,7 +6470,7 @@ " GDP (current US$)+5\n", " \n", " \n", - " 3019475\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", @@ -6479,7 +6479,7 @@ " GDP (current US$)+8\n", " \n", " \n", - " 3019476\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", @@ -6488,7 +6488,7 @@ " GDP (current US$)+13\n", " \n", " \n", - " 3019477\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", @@ -6498,7 +6498,7 @@ " \n", " \n", "\n", - "

3019478 rows × 6 columns

\n", + "

1540363 rows × 6 columns

\n", "" ], "text/plain": [ @@ -6509,11 +6509,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "3019473 CHN 2021 Pair \n", - "3019474 CHN 2021 Pair \n", - "3019475 CHN 2021 Pair \n", - "3019476 CHN 2021 Pair \n", - "3019477 CHN 2021 Pair \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -6522,11 +6522,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "3019473 GDP (current US$)+3 38.504955 \n", - "3019474 GDP (current US$)+5 31.129362 \n", - "3019475 GDP (current US$)+8 26.521259 \n", - "3019476 GDP (current US$)+13 12.731623 \n", - "3019477 GDP (current US$)+21 3.356853 \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \n", "0 Access to clean fuels and technologies for coo... \n", @@ -6535,16 +6535,16 @@ "3 Access to electricity (% of population) \n", "4 Access to electricity, rural (% of rural popul... \n", "... ... \n", - "3019473 GDP (current US$)+3 \n", - "3019474 GDP (current US$)+5 \n", - "3019475 GDP (current US$)+8 \n", - "3019476 GDP (current US$)+13 \n", - "3019477 GDP (current US$)+21 \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", "\n", - "[3019478 rows x 6 columns]" + "[1540363 rows x 6 columns]" ] }, - "execution_count": 45, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -6570,7 +6570,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -6658,7 +6658,7 @@ " ...\n", " \n", " \n", - " 3019473\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", @@ -6667,7 +6667,7 @@ " GDP (current US$)+3\n", " \n", " \n", - " 3019474\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", @@ -6676,7 +6676,7 @@ " GDP (current US$)+5\n", " \n", " \n", - " 3019475\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", @@ -6685,7 +6685,7 @@ " GDP (current US$)+8\n", " \n", " \n", - " 3019476\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", @@ -6694,7 +6694,7 @@ " GDP (current US$)+13\n", " \n", " \n", - " 3019477\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", @@ -6704,7 +6704,7 @@ " \n", " \n", "\n", - "

2689563 rows × 6 columns

\n", + "

1372098 rows × 6 columns

\n", "" ], "text/plain": [ @@ -6715,11 +6715,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "3019473 CHN 2021 Pair \n", - "3019474 CHN 2021 Pair \n", - "3019475 CHN 2021 Pair \n", - "3019476 CHN 2021 Pair \n", - "3019477 CHN 2021 Pair \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -6728,11 +6728,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "3019473 GDP (current US$)+3 38.504955 \n", - "3019474 GDP (current US$)+5 31.129362 \n", - "3019475 GDP (current US$)+8 26.521259 \n", - "3019476 GDP (current US$)+13 12.731623 \n", - "3019477 GDP (current US$)+21 3.356853 \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \n", "0 Access to clean fuels and technologies for coo... \n", @@ -6741,16 +6741,16 @@ "3 Access to electricity (% of population) \n", "4 Access to electricity, rural (% of rural popul... \n", "... ... \n", - "3019473 GDP (current US$)+3 \n", - "3019474 GDP (current US$)+5 \n", - "3019475 GDP (current US$)+8 \n", - "3019476 GDP (current US$)+13 \n", - "3019477 GDP (current US$)+21 \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", "\n", - "[2689563 rows x 6 columns]" + "[1372098 rows x 6 columns]" ] }, - "execution_count": 46, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -6771,7 +6771,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ @@ -6787,7 +6787,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -6882,7 +6882,7 @@ " ...\n", " \n", " \n", - " 3019473\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", @@ -6892,7 +6892,7 @@ " (current US$)\n", " \n", " \n", - " 3019474\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", @@ -6902,7 +6902,7 @@ " (current US$)\n", " \n", " \n", - " 3019475\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", @@ -6912,7 +6912,7 @@ " (current US$)\n", " \n", " \n", - " 3019476\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", @@ -6922,7 +6922,7 @@ " (current US$)\n", " \n", " \n", - " 3019477\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", @@ -6933,7 +6933,7 @@ " \n", " \n", "\n", - "

2689563 rows × 7 columns

\n", + "

1372098 rows × 7 columns

\n", "" ], "text/plain": [ @@ -6944,11 +6944,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "3019473 CHN 2021 Pair \n", - "3019474 CHN 2021 Pair \n", - "3019475 CHN 2021 Pair \n", - "3019476 CHN 2021 Pair \n", - "3019477 CHN 2021 Pair \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -6957,11 +6957,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "3019473 GDP (current US$)+3 38.504955 \n", - "3019474 GDP (current US$)+5 31.129362 \n", - "3019475 GDP (current US$)+8 26.521259 \n", - "3019476 GDP (current US$)+13 12.731623 \n", - "3019477 GDP (current US$)+21 3.356853 \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -6970,11 +6970,11 @@ "3 Access to electricity (% of population) \n", "4 Access to electricity, rural (% of rural popul... \n", "... ... \n", - "3019473 GDP (current US$)+3 \n", - "3019474 GDP (current US$)+5 \n", - "3019475 GDP (current US$)+8 \n", - "3019476 GDP (current US$)+13 \n", - "3019477 GDP (current US$)+21 \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", "\n", " Units \n", "0 (% of population) \n", @@ -6983,16 +6983,16 @@ "3 (% of population) \n", "4 (% of rural population) \n", "... ... \n", - "3019473 (current US$) \n", - "3019474 (current US$) \n", - "3019475 (current US$) \n", - "3019476 (current US$) \n", - "3019477 (current US$) \n", + "1540358 (current US$) \n", + "1540359 (current US$) \n", + "1540360 (current US$) \n", + "1540361 (current US$) \n", + "1540362 (current US$) \n", "\n", - "[2689563 rows x 7 columns]" + "[1372098 rows x 7 columns]" ] }, - "execution_count": 48, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -7011,7 +7011,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -7106,7 +7106,7 @@ " ...\n", " \n", " \n", - " 3019473\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", @@ -7116,7 +7116,7 @@ " (current US$)\n", " \n", " \n", - " 3019474\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", @@ -7126,7 +7126,7 @@ " (current US$)\n", " \n", " \n", - " 3019475\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", @@ -7136,7 +7136,7 @@ " (current US$)\n", " \n", " \n", - " 3019476\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", @@ -7146,7 +7146,7 @@ " (current US$)\n", " \n", " \n", - " 3019477\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", @@ -7157,7 +7157,7 @@ " \n", " \n", "\n", - "

2689563 rows × 7 columns

\n", + "

1372098 rows × 7 columns

\n", "" ], "text/plain": [ @@ -7168,11 +7168,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "3019473 CHN 2021 Pair \n", - "3019474 CHN 2021 Pair \n", - "3019475 CHN 2021 Pair \n", - "3019476 CHN 2021 Pair \n", - "3019477 CHN 2021 Pair \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -7181,11 +7181,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "3019473 GDP (current US$)+3 38.504955 \n", - "3019474 GDP (current US$)+5 31.129362 \n", - "3019475 GDP (current US$)+8 26.521259 \n", - "3019476 GDP (current US$)+13 12.731623 \n", - "3019477 GDP (current US$)+21 3.356853 \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -7194,11 +7194,11 @@ "3 Access to electricity \n", "4 Access to electricity, rural \n", "... ... \n", - "3019473 GDP+3 \n", - "3019474 GDP+5 \n", - "3019475 GDP+8 \n", - "3019476 GDP+13 \n", - "3019477 GDP+21 \n", + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", "\n", " Units \n", "0 (% of population) \n", @@ -7207,16 +7207,16 @@ "3 (% of population) \n", "4 (% of rural population) \n", "... ... \n", - "3019473 (current US$) \n", - "3019474 (current US$) \n", - "3019475 (current US$) \n", - "3019476 (current US$) \n", - "3019477 (current US$) \n", + "1540358 (current US$) \n", + "1540359 (current US$) \n", + "1540360 (current US$) \n", + "1540361 (current US$) \n", + "1540362 (current US$) \n", "\n", - "[2689563 rows x 7 columns]" + "[1372098 rows x 7 columns]" ] }, - "execution_count": 49, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -7236,7 +7236,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -7331,7 +7331,7 @@ " ...\n", " \n", " \n", - " 3017650\n", + " 1538535\n", " CHN\n", " 2020\n", " Pair\n", @@ -7341,7 +7341,7 @@ " (% of male employment) (modeled ILO estimate)\n", " \n", " \n", - " 3017651\n", + " 1538536\n", " CHN\n", " 2020\n", " Pair\n", @@ -7351,7 +7351,7 @@ " (% of total employment) (modeled ILO estimate)\n", " \n", " \n", - " 3018639\n", + " 1539524\n", " CHN\n", " 2021\n", " Pair\n", @@ -7361,7 +7361,7 @@ " (% of female employment) (modeled ILO estimate)\n", " \n", " \n", - " 3018640\n", + " 1539525\n", " CHN\n", " 2021\n", " Pair\n", @@ -7371,7 +7371,7 @@ " (% of male employment) (modeled ILO estimate)\n", " \n", " \n", - " 3018641\n", + " 1539526\n", " CHN\n", " 2021\n", " Pair\n", @@ -7382,7 +7382,7 @@ " \n", " \n", "\n", - "

8898 rows × 7 columns

\n", + "

4545 rows × 7 columns

\n", "" ], "text/plain": [ @@ -7393,11 +7393,11 @@ "1151 DEU 1991 Europe \n", "1152 DEU 1991 Europe \n", "... ... ... ... \n", - "3017650 CHN 2020 Pair \n", - "3017651 CHN 2020 Pair \n", - "3018639 CHN 2021 Pair \n", - "3018640 CHN 2021 Pair \n", - "3018641 CHN 2021 Pair \n", + "1538535 CHN 2020 Pair \n", + "1538536 CHN 2020 Pair \n", + "1539524 CHN 2021 Pair \n", + "1539525 CHN 2021 Pair \n", + "1539526 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "151 Contributing family workers, female (% of fema... 1.000000 \n", @@ -7406,11 +7406,11 @@ "1151 Contributing family workers, female (% of fema... 1.000000 \n", "1152 Contributing family workers, male (% of male e... 1.000000 \n", "... ... ... \n", - "3017650 Contributing family workers, male (% of male e... 0.252894 \n", - "3017651 Contributing family workers, total (% of total... 0.329385 \n", - "3018639 Contributing family workers, female (% of fema... 0.386565 \n", - "3018640 Contributing family workers, male (% of male e... 0.252894 \n", - "3018641 Contributing family workers, total (% of total... 0.329385 \n", + "1538535 Contributing family workers, male (% of male e... 0.252894 \n", + "1538536 Contributing family workers, total (% of total... 0.329385 \n", + "1539524 Contributing family workers, female (% of fema... 0.386565 \n", + "1539525 Contributing family workers, male (% of male e... 0.252894 \n", + "1539526 Contributing family workers, total (% of total... 0.329385 \n", "\n", " Short indicator \\\n", "151 Contributing family workers, female \n", @@ -7419,11 +7419,11 @@ "1151 Contributing family workers, female \n", "1152 Contributing family workers, male \n", "... ... \n", - "3017650 Contributing family workers, male \n", - "3017651 Contributing family workers, total \n", - "3018639 Contributing family workers, female \n", - "3018640 Contributing family workers, male \n", - "3018641 Contributing family workers, total \n", + "1538535 Contributing family workers, male \n", + "1538536 Contributing family workers, total \n", + "1539524 Contributing family workers, female \n", + "1539525 Contributing family workers, male \n", + "1539526 Contributing family workers, total \n", "\n", " Units \n", "151 (% of female employment) (modeled ILO estimate) \n", @@ -7432,16 +7432,16 @@ "1151 (% of female employment) (modeled ILO estimate) \n", "1152 (% of male employment) (modeled ILO estimate) \n", "... ... \n", - "3017650 (% of male employment) (modeled ILO estimate) \n", - "3017651 (% of total employment) (modeled ILO estimate) \n", - "3018639 (% of female employment) (modeled ILO estimate) \n", - "3018640 (% of male employment) (modeled ILO estimate) \n", - "3018641 (% of total employment) (modeled ILO estimate) \n", + "1538535 (% of male employment) (modeled ILO estimate) \n", + "1538536 (% of total employment) (modeled ILO estimate) \n", + "1539524 (% of female employment) (modeled ILO estimate) \n", + "1539525 (% of male employment) (modeled ILO estimate) \n", + "1539526 (% of total employment) (modeled ILO estimate) \n", "\n", - "[8898 rows x 7 columns]" + "[4545 rows x 7 columns]" ] }, - "execution_count": 50, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -7460,7 +7460,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -7562,7 +7562,7 @@ " ...\n", " \n", " \n", - " 3019473\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", @@ -7573,7 +7573,7 @@ " None\n", " \n", " \n", - " 3019474\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", @@ -7584,7 +7584,7 @@ " None\n", " \n", " \n", - " 3019475\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", @@ -7595,7 +7595,7 @@ " None\n", " \n", " \n", - " 3019476\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", @@ -7606,7 +7606,7 @@ " None\n", " \n", " \n", - " 3019477\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", @@ -7618,7 +7618,7 @@ " \n", " \n", "\n", - "

2689563 rows × 8 columns

\n", + "

1372098 rows × 8 columns

\n", "" ], "text/plain": [ @@ -7629,11 +7629,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "3019473 CHN 2021 Pair \n", - "3019474 CHN 2021 Pair \n", - "3019475 CHN 2021 Pair \n", - "3019476 CHN 2021 Pair \n", - "3019477 CHN 2021 Pair \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -7642,11 +7642,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "3019473 GDP (current US$)+3 38.504955 \n", - "3019474 GDP (current US$)+5 31.129362 \n", - "3019475 GDP (current US$)+8 26.521259 \n", - "3019476 GDP (current US$)+13 12.731623 \n", - "3019477 GDP (current US$)+21 3.356853 \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -7655,11 +7655,11 @@ "3 Access to electricity \n", "4 Access to electricity, rural \n", "... ... \n", - "3019473 GDP+3 \n", - "3019474 GDP+5 \n", - "3019475 GDP+8 \n", - "3019476 GDP+13 \n", - "3019477 GDP+21 \n", + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", "\n", " Units Other specification \n", "0 (% of population) None \n", @@ -7668,16 +7668,16 @@ "3 (% of population) None \n", "4 (% of rural population) None \n", "... ... ... \n", - "3019473 (current US$) None \n", - "3019474 (current US$) None \n", - "3019475 (current US$) None \n", - "3019476 (current US$) None \n", - "3019477 (current US$) None \n", + "1540358 (current US$) None \n", + "1540359 (current US$) None \n", + "1540360 (current US$) None \n", + "1540361 (current US$) None \n", + "1540362 (current US$) None \n", "\n", - "[2689563 rows x 8 columns]" + "[1372098 rows x 8 columns]" ] }, - "execution_count": 51, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -7691,12 +7691,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "At the end of the variable name, separated by the last \",\" it is informing us about to which subgroup makes reference the variable. Thus, there are some inidcators that have information divided for small groups. This information is shown as a new column named 'Subgroup'." + "At the end of the variable name, separated by the last \",\" it is informing us about to which subgroup makes reference the variable. Thus, there are some indicators that have information divided for small groups. This information is shown as a new column named 'Subgroup'." ] }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -7805,7 +7805,7 @@ " ...\n", " \n", " \n", - " 3019473\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", @@ -7817,7 +7817,7 @@ " NaN\n", " \n", " \n", - " 3019474\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", @@ -7829,7 +7829,7 @@ " NaN\n", " \n", " \n", - " 3019475\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", @@ -7841,7 +7841,7 @@ " NaN\n", " \n", " \n", - " 3019476\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", @@ -7853,7 +7853,7 @@ " NaN\n", " \n", " \n", - " 3019477\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", @@ -7866,7 +7866,7 @@ " \n", " \n", "\n", - "

2689563 rows × 9 columns

\n", + "

1372098 rows × 9 columns

\n", "" ], "text/plain": [ @@ -7877,11 +7877,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "3019473 CHN 2021 Pair \n", - "3019474 CHN 2021 Pair \n", - "3019475 CHN 2021 Pair \n", - "3019476 CHN 2021 Pair \n", - "3019477 CHN 2021 Pair \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -7890,11 +7890,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "3019473 GDP (current US$)+3 38.504955 \n", - "3019474 GDP (current US$)+5 31.129362 \n", - "3019475 GDP (current US$)+8 26.521259 \n", - "3019476 GDP (current US$)+13 12.731623 \n", - "3019477 GDP (current US$)+21 3.356853 \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -7903,11 +7903,11 @@ "3 Access to electricity \n", "4 Access to electricity, rural \n", "... ... \n", - "3019473 GDP+3 \n", - "3019474 GDP+5 \n", - "3019475 GDP+8 \n", - "3019476 GDP+13 \n", - "3019477 GDP+21 \n", + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", "\n", " Units Other specification Subgroup \n", "0 (% of population) None NaN \n", @@ -7916,16 +7916,16 @@ "3 (% of population) None NaN \n", "4 (% of rural population) None rural \n", "... ... ... ... \n", - "3019473 (current US$) None NaN \n", - "3019474 (current US$) None NaN \n", - "3019475 (current US$) None NaN \n", - "3019476 (current US$) None NaN \n", - "3019477 (current US$) None NaN \n", + "1540358 (current US$) None NaN \n", + "1540359 (current US$) None NaN \n", + "1540360 (current US$) None NaN \n", + "1540361 (current US$) None NaN \n", + "1540362 (current US$) None NaN \n", "\n", - "[2689563 rows x 9 columns]" + "[1372098 rows x 9 columns]" ] }, - "execution_count": 52, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -7944,7 +7944,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -8053,7 +8053,7 @@ " ...\n", " \n", " \n", - " 3019473\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", @@ -8065,7 +8065,7 @@ " NaN\n", " \n", " \n", - " 3019474\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", @@ -8077,7 +8077,7 @@ " NaN\n", " \n", " \n", - " 3019475\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", @@ -8089,7 +8089,7 @@ " NaN\n", " \n", " \n", - " 3019476\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", @@ -8101,7 +8101,7 @@ " NaN\n", " \n", " \n", - " 3019477\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", @@ -8114,7 +8114,7 @@ " \n", " \n", "\n", - "

2689563 rows × 9 columns

\n", + "

1372098 rows × 9 columns

\n", "" ], "text/plain": [ @@ -8125,11 +8125,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "3019473 CHN 2021 Pair \n", - "3019474 CHN 2021 Pair \n", - "3019475 CHN 2021 Pair \n", - "3019476 CHN 2021 Pair \n", - "3019477 CHN 2021 Pair \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -8138,11 +8138,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "3019473 GDP (current US$)+3 38.504955 \n", - "3019474 GDP (current US$)+5 31.129362 \n", - "3019475 GDP (current US$)+8 26.521259 \n", - "3019476 GDP (current US$)+13 12.731623 \n", - "3019477 GDP (current US$)+21 3.356853 \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -8151,11 +8151,11 @@ "3 Access to electricity \n", "4 Access to electricity \n", "... ... \n", - "3019473 GDP+3 \n", - "3019474 GDP+5 \n", - "3019475 GDP+8 \n", - "3019476 GDP+13 \n", - "3019477 GDP+21 \n", + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", "\n", " Units Other specification Subgroup \n", "0 (% of population) None NaN \n", @@ -8164,16 +8164,16 @@ "3 (% of population) None NaN \n", "4 (% of rural population) None rural \n", "... ... ... ... \n", - "3019473 (current US$) None NaN \n", - "3019474 (current US$) None NaN \n", - "3019475 (current US$) None NaN \n", - "3019476 (current US$) None NaN \n", - "3019477 (current US$) None NaN \n", + "1540358 (current US$) None NaN \n", + "1540359 (current US$) None NaN \n", + "1540360 (current US$) None NaN \n", + "1540361 (current US$) None NaN \n", + "1540362 (current US$) None NaN \n", "\n", - "[2689563 rows x 9 columns]" + "[1372098 rows x 9 columns]" ] }, - "execution_count": 53, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -8192,7 +8192,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 52, "metadata": {}, "outputs": [], "source": [ @@ -8209,7 +8209,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -8318,7 +8318,7 @@ " ...\n", " \n", " \n", - " 3019473\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", @@ -8330,7 +8330,7 @@ " total\n", " \n", " \n", - " 3019474\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", @@ -8342,7 +8342,7 @@ " total\n", " \n", " \n", - " 3019475\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", @@ -8354,7 +8354,7 @@ " total\n", " \n", " \n", - " 3019476\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", @@ -8366,7 +8366,7 @@ " total\n", " \n", " \n", - " 3019477\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", @@ -8379,7 +8379,7 @@ " \n", " \n", "\n", - "

1159714 rows × 9 columns

\n", + "

1157276 rows × 9 columns

\n", "" ], "text/plain": [ @@ -8390,11 +8390,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "3019473 CHN 2021 Pair \n", - "3019474 CHN 2021 Pair \n", - "3019475 CHN 2021 Pair \n", - "3019476 CHN 2021 Pair \n", - "3019477 CHN 2021 Pair \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", "\n", " Indicator 0 \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -8403,11 +8403,11 @@ "3 Access to electricity (% of population) 1.000000 \n", "4 Access to electricity, rural (% of rural popul... 1.000000 \n", "... ... ... \n", - "3019473 GDP (current US$)+3 38.504955 \n", - "3019474 GDP (current US$)+5 31.129362 \n", - "3019475 GDP (current US$)+8 26.521259 \n", - "3019476 GDP (current US$)+13 12.731623 \n", - "3019477 GDP (current US$)+21 3.356853 \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", "\n", " Short indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -8416,11 +8416,11 @@ "3 Access to electricity \n", "4 Access to electricity \n", "... ... \n", - "3019473 GDP+3 \n", - "3019474 GDP+5 \n", - "3019475 GDP+8 \n", - "3019476 GDP+13 \n", - "3019477 GDP+21 \n", + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", "\n", " Units Other specification Subgroup \n", "0 (% of population) None total \n", @@ -8429,16 +8429,16 @@ "3 (% of population) None total \n", "4 (% of rural population) None rural \n", "... ... ... ... \n", - "3019473 (current US$) None total \n", - "3019474 (current US$) None total \n", - "3019475 (current US$) None total \n", - "3019476 (current US$) None total \n", - "3019477 (current US$) None total \n", + "1540358 (current US$) None total \n", + "1540359 (current US$) None total \n", + "1540360 (current US$) None total \n", + "1540361 (current US$) None total \n", + "1540362 (current US$) None total \n", "\n", - "[1159714 rows x 9 columns]" + "[1157276 rows x 9 columns]" ] }, - "execution_count": 55, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -8456,7 +8456,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -8565,7 +8565,7 @@ " ...\n", " \n", " \n", - " 3019473\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", @@ -8577,7 +8577,7 @@ " None\n", " \n", " \n", - " 3019474\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", @@ -8589,7 +8589,7 @@ " None\n", " \n", " \n", - " 3019475\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", @@ -8601,7 +8601,7 @@ " None\n", " \n", " \n", - " 3019476\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", @@ -8613,7 +8613,7 @@ " None\n", " \n", " \n", - " 3019477\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", @@ -8626,7 +8626,7 @@ " \n", " \n", "\n", - "

2689563 rows × 9 columns

\n", + "

1372098 rows × 9 columns

\n", "" ], "text/plain": [ @@ -8637,11 +8637,11 @@ "3 DEU 1990 Europe \n", "4 DEU 1990 Europe \n", "... ... ... ... \n", - "3019473 CHN 2021 Pair \n", - "3019474 CHN 2021 Pair \n", - "3019475 CHN 2021 Pair \n", - "3019476 CHN 2021 Pair \n", - "3019477 CHN 2021 Pair \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", "\n", " Indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -8650,11 +8650,11 @@ "3 Access to electricity (% of population) \n", "4 Access to electricity, rural (% of rural popul... \n", "... ... \n", - "3019473 GDP (current US$)+3 \n", - "3019474 GDP (current US$)+5 \n", - "3019475 GDP (current US$)+8 \n", - "3019476 GDP (current US$)+13 \n", - "3019477 GDP (current US$)+21 \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", "\n", " Short indicator Value \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -8663,11 +8663,11 @@ "3 Access to electricity 1.000000 \n", "4 Access to electricity 1.000000 \n", "... ... ... \n", - "3019473 GDP+3 38.504955 \n", - "3019474 GDP+5 31.129362 \n", - "3019475 GDP+8 26.521259 \n", - "3019476 GDP+13 12.731623 \n", - "3019477 GDP+21 3.356853 \n", + "1540358 GDP+3 38.504955 \n", + "1540359 GDP+5 31.129362 \n", + "1540360 GDP+8 26.521259 \n", + "1540361 GDP+13 12.731623 \n", + "1540362 GDP+21 3.356853 \n", "\n", " Subgroup Units Other specification \n", "0 total (% of population) None \n", @@ -8676,16 +8676,16 @@ "3 total (% of population) None \n", "4 rural (% of rural population) None \n", "... ... ... ... \n", - "3019473 total (current US$) None \n", - "3019474 total (current US$) None \n", - "3019475 total (current US$) None \n", - "3019476 total (current US$) None \n", - "3019477 total (current US$) None \n", + "1540358 total (current US$) None \n", + "1540359 total (current US$) None \n", + "1540360 total (current US$) None \n", + "1540361 total (current US$) None \n", + "1540362 total (current US$) None \n", "\n", - "[2689563 rows x 9 columns]" + "[1372098 rows x 9 columns]" ] }, - "execution_count": 56, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -8712,7 +8712,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -8821,7 +8821,7 @@ " ...\n", " \n", " \n", - " 3019473\n", + " 1540358\n", " CHN\n", " 2021\n", " Pair\n", @@ -8833,7 +8833,7 @@ " None\n", " \n", " \n", - " 3019474\n", + " 1540359\n", " CHN\n", " 2021\n", " Pair\n", @@ -8845,7 +8845,7 @@ " None\n", " \n", " \n", - " 3019475\n", + " 1540360\n", " CHN\n", " 2021\n", " Pair\n", @@ -8857,7 +8857,7 @@ " None\n", " \n", " \n", - " 3019476\n", + " 1540361\n", " CHN\n", " 2021\n", " Pair\n", @@ -8869,7 +8869,7 @@ " None\n", " \n", " \n", - " 3019477\n", + " 1540362\n", " CHN\n", " 2021\n", " Pair\n", @@ -8882,7 +8882,7 @@ " \n", " \n", "\n", - "

1348868 rows × 9 columns

\n", + "

687830 rows × 9 columns

\n", "" ], "text/plain": [ @@ -8893,11 +8893,11 @@ "20 DEU 1990 Europe \n", "23 DEU 1990 Europe \n", "... ... ... ... \n", - "3019473 CHN 2021 Pair \n", - "3019474 CHN 2021 Pair \n", - "3019475 CHN 2021 Pair \n", - "3019476 CHN 2021 Pair \n", - "3019477 CHN 2021 Pair \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", "\n", " Indicator \\\n", "0 Access to clean fuels and technologies for coo... \n", @@ -8906,11 +8906,11 @@ "20 Adjusted net national income (current US$) \n", "23 Adjusted net national income per capita (curre... \n", "... ... \n", - "3019473 GDP (current US$)+3 \n", - "3019474 GDP (current US$)+5 \n", - "3019475 GDP (current US$)+8 \n", - "3019476 GDP (current US$)+13 \n", - "3019477 GDP (current US$)+21 \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", "\n", " Short indicator Value \\\n", "0 Access to clean fuels and technologies for coo... 1.000000 \n", @@ -8919,11 +8919,11 @@ "20 Adjusted net national income 1.000000 \n", "23 Adjusted net national income per capita 1.000000 \n", "... ... ... \n", - "3019473 GDP+3 38.504955 \n", - "3019474 GDP+5 31.129362 \n", - "3019475 GDP+8 26.521259 \n", - "3019476 GDP+13 12.731623 \n", - "3019477 GDP+21 3.356853 \n", + "1540358 GDP+3 38.504955 \n", + "1540359 GDP+5 31.129362 \n", + "1540360 GDP+8 26.521259 \n", + "1540361 GDP+13 12.731623 \n", + "1540362 GDP+21 3.356853 \n", "\n", " Subgroup Units Other specification \n", "0 total (% of population) None \n", @@ -8932,16 +8932,16 @@ "20 total (current US$) None \n", "23 total (current US$) None \n", "... ... ... ... \n", - "3019473 total (current US$) None \n", - "3019474 total (current US$) None \n", - "3019475 total (current US$) None \n", - "3019476 total (current US$) None \n", - "3019477 total (current US$) None \n", + "1540358 total (current US$) None \n", + "1540359 total (current US$) None \n", + "1540360 total (current US$) None \n", + "1540361 total (current US$) None \n", + "1540362 total (current US$) None \n", "\n", - "[1348868 rows x 9 columns]" + "[687830 rows x 9 columns]" ] }, - "execution_count": 57, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -8953,7 +8953,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 56, "metadata": {}, "outputs": [], "source": [ @@ -8962,7 +8962,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 57, "metadata": {}, "outputs": [], "source": [ @@ -8980,7 +8980,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 58, "metadata": {}, "outputs": [], "source": [ @@ -9005,7 +9005,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 59, "metadata": {}, "outputs": [ { @@ -9017,15 +9017,15 @@ "3 1.169136\n", "4 1.244629\n", " ... \n", - "3003 34.114284\n", - "3004 38.504955\n", - "3005 39.572189\n", - "3006 40.799246\n", - "3007 40.799246\n", - "Name: GDP (current US$), Length: 3008, dtype: float64" + "1531 34.114284\n", + "1532 38.504955\n", + "1533 39.572189\n", + "1534 40.799246\n", + "1535 40.799246\n", + "Name: GDP (current US$), Length: 1536, dtype: float64" ] }, - "execution_count": 61, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } @@ -9045,7 +9045,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 60, "metadata": {}, "outputs": [], "source": [ @@ -9054,7 +9054,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 61, "metadata": {}, "outputs": [], "source": [ @@ -9092,7 +9092,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 62, "metadata": {}, "outputs": [], "source": [ @@ -9114,7 +9114,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 63, "metadata": {}, "outputs": [], "source": [ @@ -9132,7 +9132,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 64, "metadata": {}, "outputs": [], "source": [ @@ -9152,7 +9152,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 65, "metadata": {}, "outputs": [], "source": [ @@ -9172,7 +9172,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ @@ -9194,7 +9194,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 67, "metadata": {}, "outputs": [], "source": [ @@ -9216,7 +9216,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 68, "metadata": {}, "outputs": [], "source": [ @@ -9243,7 +9243,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ @@ -9261,7 +9261,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 70, "metadata": {}, "outputs": [ { @@ -9402,7 +9402,7 @@ " ...\n", " \n", " \n", - " 5949\n", + " 5948\n", " Prevalence of anemia among women of reproducti...\n", " 0.793298\n", " Logarithmic\n", @@ -9411,7 +9411,7 @@ " 0.752969\n", " \n", " \n", - " 5950\n", + " 5949\n", " Logistics performance index: Ability to track ...\n", " 0.788049\n", " Logarithmic\n", @@ -9420,7 +9420,7 @@ " 0.926947\n", " \n", " \n", - " 5951\n", + " 5950\n", " Logistics performance index: Competence and qu...\n", " 0.788049\n", " Logarithmic\n", @@ -9429,7 +9429,7 @@ " 0.890297\n", " \n", " \n", - " 5952\n", + " 5951\n", " Out-of-pocket expenditure (% of current health...\n", " 0.782573\n", " Logarithmic\n", @@ -9438,7 +9438,7 @@ " 0.929883\n", " \n", " \n", - " 5953\n", + " 5952\n", " Domestic general government health expenditure...\n", " 0.758910\n", " Cubic\n", @@ -9448,7 +9448,7 @@ " \n", " \n", "\n", - "

5954 rows × 6 columns

\n", + "

5953 rows × 6 columns

\n", "" ], "text/plain": [ @@ -9459,11 +9459,11 @@ "3 Gross national expenditure (current US$) 0.990490 \n", "4 Final consumption expenditure (current US$) 0.988302 \n", "... ... ... \n", - "5949 Prevalence of anemia among women of reproducti... 0.793298 \n", - "5950 Logistics performance index: Ability to track ... 0.788049 \n", - "5951 Logistics performance index: Competence and qu... 0.788049 \n", - "5952 Out-of-pocket expenditure (% of current health... 0.782573 \n", - "5953 Domestic general government health expenditure... 0.758910 \n", + "5948 Prevalence of anemia among women of reproducti... 0.793298 \n", + "5949 Logistics performance index: Ability to track ... 0.788049 \n", + "5950 Logistics performance index: Competence and qu... 0.788049 \n", + "5951 Out-of-pocket expenditure (% of current health... 0.782573 \n", + "5952 Domestic general government health expenditure... 0.758910 \n", "\n", " Type Behaviour Country R^2 Pearson \n", "0 Linear Positive DEU 0.999141 \n", @@ -9472,13 +9472,13 @@ "3 Linear Positive DEU 0.997181 \n", "4 Linear Positive DEU 0.996540 \n", "... ... ... ... ... \n", - "5949 Logarithmic Negative CHN 0.752969 \n", - "5950 Logarithmic Positive CHN 0.926947 \n", - "5951 Logarithmic Positive CHN 0.890297 \n", - "5952 Logarithmic Negative CHN 0.929883 \n", - "5953 Cubic Positive CHN 0.797637 \n", + "5948 Logarithmic Negative CHN 0.752969 \n", + "5949 Logarithmic Positive CHN 0.926947 \n", + "5950 Logarithmic Positive CHN 0.890297 \n", + "5951 Logarithmic Negative CHN 0.929883 \n", + "5952 Cubic Positive CHN 0.797637 \n", "\n", - "[5954 rows x 6 columns]" + "[5953 rows x 6 columns]" ] }, "metadata": {}, @@ -9591,7 +9591,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 71, "metadata": {}, "outputs": [], "source": [ @@ -9601,7 +9601,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -9720,9 +9720,8 @@ "[403 rows x 2 columns]" ] }, - "execution_count": 74, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -9732,31 +9731,1678 @@ "\n", "df_indicators = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Indicator','Number of times repeated'])\n", "df_indicators=df_indicators.sort_values(by = 'Number of times repeated',ascending = False)\n", - "df_indicators" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Review widgets, obsoleted" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now that we’ve loaded the data, we can start right away to create widgets. These widgets are essentials to add interactivity to our visualizations. We’re going to use two widgets: both, multiple selection widgets. To create these widgets, we can use `ipywidgets` library that is available for Jupyter Notebook.\n", - "\n", - "The first widget that we are going to create is the multiple selection widget. We can do this by using `SelectMultiple()attribute` from `ipywidgets`. With this widget, we have the option to visualize the R^2 only in particular selection of indicators instead of all.\n", - "\n", - "The first argument that we should specify is `options` , which should contain the list of available options of our variable (in our case different indicators). The next one is `value` , which should contain the variable values that we want to display as default, and then `description` is for the text field to describe the name of the widget.The rest of options are just visual details." + "df_indicators\n", + "display(df_indicators)" ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " 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IndicatorNumber of times repeated
GDP per capita (current US$)46
Industry (including construction), value added (current US$)46
GNI (current US$)46
Households and NPISHs Final consumption expenditure (current US$)45
Final consumption expenditure (current US$)45
General government final consumption expenditure (current US$)45
Gross national expenditure (current US$)45
Adjusted net national income (current US$)45
Adjusted savings: consumption of fixed capital (current US$)45
Adjusted net national income per capita (current US$)44
Merchandise imports by the reporting economy (current US$)44
Imports of goods and services (current US$)44
Current health expenditure per capita (current US$)43
Gross capital formation (current US$)43
Adjusted savings: education expenditure (current US$)43
Merchandise imports (current US$)43
Import value index (2000 = 100)43
Imports of goods and services (BoP, current US$)42
Gross fixed capital formation (current US$)41
Goods imports (BoP, current US$)41
Gross domestic savings (current US$)40
Exports of goods and services (current US$)39
Gross value added at basic prices (GVA) (current US$)39
Gross savings (current US$)38
Service imports (BoP, current US$)37
Commercial service imports (current US$)37
Domestic general government health expenditure per capita (current US$)36
Domestic private health expenditure per capita (current US$)36
Merchandise exports by the reporting economy (current US$)36
Adjusted savings: carbon dioxide damage (current US$)36
Merchandise exports (current US$)35
Exports of goods and services (BoP, current US$)35
Export value index (2000 = 100)35
GDP deflator (base year varies by country)35
GDP deflator: linked series (base year varies by country)35
Import volume index (2000 = 100)35
Goods exports (BoP, current US$)34
Service exports (BoP, current US$)34
Fixed broadband subscriptions (per 100 people)34
Renewable internal freshwater resources per capita (cubic meters)34
Commercial service exports (current US$)34
Fixed broadband subscriptions33
People using at least basic sanitation services (% of population)33
Population density (people per sq33
Consumer price index (2010 = 100)33
Out-of-pocket expenditure per capita (current US$)33
Taxes less subsidies on products (current US$)33
Urban population32
UHC service coverage index32
Population in urban agglomerations of more than 1 million32
Scientific and technical journal articles32
Military expenditure (current USD)31
Prevalence of current tobacco use (% of adults)31
Lifetime risk of maternal death (1 in: rate varies by country)30
Total reserves (includes gold, current US$)30
Total greenhouse gas emissions (kt of CO2 equivalent)30
Number of deaths ages 5-9 years30
Lifetime risk of maternal death (%)30
Employment in services (% of total employment) (modeled ILO estimate)30
Population in largest city30
Total reserves minus gold (current US$)30
Probability of dying among children ages 5-9 years (per 1,000)30
CO2 emissions (kt)30
Employment in agriculture (% of total employment) (modeled ILO estimate)29
GDP per unit of energy use (PPP $ per kg of oil equivalent)29
Maternal mortality ratio (modeled estimate, per 100,000 live births)29
Gross national expenditure deflator (base year varies by country)29
People using at least basic drinking water services (% of population)28
GDP per person employed (constant 2017 PPP $)28
Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)28
Electric power consumption (kWh per capita)28
People practicing open defecation (% of population)27
Container port traffic (TEU: 20 foot equivalent units)27
Livestock production index (2014-2016 = 100)27
Urban population (% of total population)27
Probability of dying among adolescents ages 15-19 years (per 1,000)27
Probability of dying among youth ages 20-24 years (per 1,000)26
Primary income payments (BoP, current US$)26
Rural population (% of total population)26
Probability of dying among adolescents ages 10-14 years (per 1,000)25
Women Business and the Law Index Score (scale 1-100)25
Export volume index (2000 = 100)24
Population ages 0-14 (% of total population)24
Number of under-five deaths24
Low-birthweight babies (% of births)24
Food production index (2014-2016 = 100)24
Prevalence of anemia among pregnant women (%)24
Forest area (% of land area)24
Forest area (sq24
Adjusted savings: particulate emission damage (current US$)24
Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)23
People using safely managed sanitation services (% of population)23
Number of infant deaths23
CO2 emissions (kg per PPP $ of GDP)23
Prevalence of anemia among women of reproductive age (% of women ages 15-49)22
Number of maternal deaths22
Methane emissions (kt of CO2 equivalent)22
Net secondary income (Net current transfers from abroad) (current US$)22
Mobile cellular subscriptions22
Total greenhouse gas emissions (% change from 1990)22
Population ages 65 and above (% of total population)22
Adolescent fertility rate (births per 1,000 women ages 15-19)22
Incidence of tuberculosis (per 100,000 people)21
Prevalence of anemia among non-pregnant women (% of women ages 15-49)21
ICT service exports (BoP, current US$)21
Automated teller machines (ATMs) (per 100,000 adults)21
Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)21
Methane emissions in energy sector (thousand metric tons of CO2 equivalent)21
Crop production index (2014-2016 = 100)21
Secondary income receipts (BoP, current US$)21
Number of deaths ages 10-14 years21
Rural population20
Arable land (hectares per person)20
Mobile cellular subscriptions (per 100 people)20
Ratio of female to male labor force participation rate (%) (modeled ILO estimate)20
Level of water stress: freshwater withdrawal as a proportion of available freshwater resources20
Poverty gap at $520
Methane emissions (% change from 1990)19
Number of neonatal deaths19
Poverty headcount ratio at $319
Population in urban agglomerations of more than 1 million (% of total population)19
Export unit value index (2000 = 100)19
Population ages 15-64 (% of total population)19
Ratio of female to male labor force participation rate (%) (national estimate)18
Poverty headcount ratio at $518
Poverty headcount ratio at $118
Poverty gap at $318
Age dependency ratio (% of working-age population)18
CO2 emissions from gaseous fuel consumption (kt)18
Physicians (per 1,000 people)18
CO2 emissions (metric tons per capita)18
Prevalence of anemia among children (% of children ages 6-59 months)18
Energy intensity level of primary energy (MJ/$2017 PPP GDP)18
Pregnant women receiving prenatal care (%)18
Primary income receipts (BoP, current US$)18
Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)18
Market capitalization of listed domestic companies (current US$)17
Number of deaths ages 20-24 years17
Nitrous oxide emissions (thousand metric tons of CO2 equivalent)17
Net secondary income (BoP, current US$)17
Population in the largest city (% of urban population)17
Risk of impoverishing expenditure for surgical care (% of people at risk)17
Prevalence of overweight (modeled estimate, % of children under 5)17
Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)17
Suicide mortality rate (per 100,000 population)17
Access to clean fuels and technologies for cooking (% of population)17
Adjusted savings: net national savings (current US$)17
Energy use (kg of oil equivalent per capita)17
GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)16
International migrant stock (% of population)16
Poverty gap at $116
Net primary income (Net income from abroad) (current US$)16
Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)16
Access to electricity (% of population)16
Number of deaths ages 15-19 years16
Net trade in goods (BoP, current US$)15
Permanent cropland (% of land area)15
Domestic credit to private sector by banks (% of GDP)15
Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)15
CO2 emissions from liquid fuel consumption (kt)15
Mortality caused by road traffic injury (per 100,000 population)15
Monetary Sector credit to private sector (% GDP)15
Import unit value index (2000 = 100)15
Poverty headcount ratio at national poverty lines (% of population)14
Prevalence of undernourishment (% of population)14
Employment in industry (% of total employment) (modeled ILO estimate)14
Proportion of seats held by women in national parliaments (%)13
Net primary income (BoP, current US$)13
Agricultural land (sq13
Domestic credit to private sector (% of GDP)13
Total fisheries production (metric tons)13
Births attended by skilled health staff (% of total)13
Aquaculture production (metric tons)13
Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)13
Agricultural methane emissions (thousand metric tons of CO2 equivalent)13
Increase in poverty gap at $313
Risk of catastrophic expenditure for surgical care (% of people at risk)13
Agricultural land (% of land area)13
Textiles and clothing (% of value added in manufacturing)13
Researchers in R&D (per million people)13
Nurses and midwives (per 1,000 people)13
Firms using banks to finance investment (% of firms)12
Firms offering formal training (% of firms)12
Customs and other import duties (% of tax revenue)12
Firms using banks to finance working capital (% of firms)12
Combustible renewables and waste (% of total energy)12
Capture fisheries production (metric tons)12
Merchandise imports from high-income economies (% of total merchandise imports)12
Cereal yield (kg per hectare)12
Broad money (% of GDP)12
HFC gas emissions (thousand metric tons of CO2 equivalent)12
CO2 emissions (kg per 2017 PPP $ of GDP)12
CO2 emissions (kg per 2015 US$ of GDP)12
Arable land (hectares)12
Renewable energy consumption (% of total final energy consumption)12
Arable land (% of land area)12
Nitrous oxide emissions (% change from 1990)12
Taxes on international trade (% of revenue)12
Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)12
Agricultural raw materials imports (% of merchandise imports)11
Net barter terms of trade index (2000 = 100)11
Completeness of birth registration (%)11
Commercial bank branches (per 100,000 adults)11
Hospital beds (per 1,000 people)11
Current health expenditure (% of GDP)11
Time required to start a business (days)11
CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)11
Time spent dealing with the requirements of government regulations (% of senior management time)11
Intentional homicides (per 100,000 people)11
Price level ratio of PPP conversion factor (GDP) to market exchange rate11
Time to obtain an electrical connection (days)11
Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)11
Domestic general government health expenditure (% of GDP)10
Agricultural methane emissions (% of total)10
Domestic general government health expenditure (% of general government expenditure)10
Cereal production (metric tons)10
Merchandise exports to high-income economies (% of total merchandise exports)10
Liner shipping connectivity index (maximum value in 2004 = 100)10
Gini index10
Pump price for diesel fuel (US$ per liter)10
Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)10
Income share held by highest 10%10
Income share held by lowest 10%10
Firms expected to give gifts in meetings with tax officials (% of firms)10
Proportion of people living below 50 percent of median income (%)10
Proportion of population pushed below the $310
New businesses registered (number)10
CO2 emissions from solid fuel consumption (kt)9
Electricity production from natural gas sources (% of total)9
Adjusted savings: energy depletion (current US$)9
Rail lines (total route-km)9
Maternal mortality ratio (national estimate, per 100,000 live births)9
Net migration9
Out-of-pocket expenditure (% of current health expenditure)9
Income share held by fourth 20%9
Start-up procedures to register a business (number)9
Income share held by highest 20%9
Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)9
Electricity production from oil sources (% of total)9
Energy related methane emissions (% of total)9
Income share held by lowest 20%9
Domestic general government health expenditure (% of current health expenditure)9
Proportion of population pushed below the $19
Industry (including construction), value added (% of GDP)9
Average time to clear exports through customs (days)9
CO2 emissions from gaseous fuel consumption (% of total)9
Fixed telephone subscriptions9
Research and development expenditure (% of GDP)9
Population living in areas where elevation is below 5 meters (% of total population)8
CO2 intensity (kg per kg of oil equivalent energy use)8
DEC alternative conversion factor (LCU per US$)8
Pump price for gasoline (US$ per liter)8
Rural population living in areas where elevation is below 5 meters (% of total population)8
Armed forces personnel (% of total labor force)8
Renewable electricity output (% of total electricity output)8
Mortality rate attributed to unintentional poisoning (per 100,000 population)8
Tuberculosis case detection rate (%, all forms)8
Urban population growth (annual %)8
Income share held by second 20%8
Income share held by third 20%8
Increase in poverty gap at $18
Firms with female participation in ownership (% of firms)8
Individuals using the Internet (% of population)8
Urban population living in areas where elevation is below 5 meters (% of total population)8
SF6 gas emissions (thousand metric tons of CO2 equivalent)7
External balance on goods and services (current US$)7
Alternative and nuclear energy (% of total energy use)7
Fossil fuel energy consumption (% of total)7
Adolescents out of school (% of lower secondary school age)7
Children out of school (% of primary school age)7
PFC gas emissions (thousand metric tons of CO2 equivalent)7
External health expenditure per capita (current US$)7
Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)7
New business density (new registrations per 1,000 people ages 15-64)7
Fertilizer consumption (kilograms per hectare of arable land)7
Official exchange rate (LCU per US$, period average)7
Nitrous oxide emissions in energy sector (% of total)7
Refugee population by country or territory of origin7
Medium and high-tech exports (% manufactured exports)6
Electricity production from hydroelectric sources (% of total)6
Domestic private health expenditure (% of current health expenditure)6
Net trade in goods and services (BoP, current US$)6
Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)6
Unemployment with basic education (% of total labor force with basic education)6
Population growth (annual %)6
ICT goods exports (% of total goods exports)6
Refugee population by country or territory of asylum6
Tuberculosis treatment success rate (% of new cases)6
Public credit registry coverage (% of adults)6
Fertilizer consumption (% of fertilizer production)6
ICT goods imports (% total goods imports)6
ICT service exports (% of service exports, BoP)6
Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)6
Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)5
Private credit bureau coverage (% of adults)5
Labor force with advanced education (% of total working-age population with advanced education)5
High-technology exports (current US$)5
Progression to secondary school (%)5
Transport services (% of service imports, BoP)5
Transport services (% of service exports, BoP)5
CO2 emissions from liquid fuel consumption (% of total)5
Land under cereal production (hectares)5
Food exports (% of merchandise exports)5
Deposit interest rate (%)5
CO2 emissions from solid fuel consumption (% of total)5
Military expenditure (% of general government expenditure)5
Agricultural raw materials exports (% of merchandise exports)5
Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)5
Trade (% of GDP)5
Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)5
Merchandise trade (% of GDP)5
Exports of goods and services (% of GDP)5
Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)5
Total reserves in months of imports5
Time to prepare and pay taxes (hours)5
Imports of goods and services (% of GDP)4
Rural population growth (annual %)4
Logistics performance index: Competence and quality of logistics services (1=low to 5=high)4
Agricultural nitrous oxide emissions (% of total)4
Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)4
Electricity production from coal sources (% of total)4
Labor force with intermediate education (% of total working-age population with intermediate education)4
Transport services (% of commercial service imports)4
Transport services (% of commercial service exports)4
Taxes on goods and services (% of revenue)4
Logistics performance index: Overall (1=low to 5=high)4
Changes in inventories (current US$)4
Agricultural irrigated land (% of total agricultural land)4
Interest payments (% of revenue)4
Time required to register property (days)4
Military expenditure (% of GDP)4
Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)4
Taxes on goods and services (% value added of industry and services)3
Travel services (% of service exports, BoP)3
Social contributions (% of revenue)3
Adjusted savings: net forest depletion (current US$)3
Unemployment with intermediate education (% of total labor force with intermediate education)3
Total tax and contribution rate (% of profit)3
Travel services (% of commercial service imports)3
Unemployment with advanced education (% of total labor force with advanced education)3
Other greenhouse gas emissions (% change from 1990)3
Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)3
Forest rents (% of GDP)3
Chemicals (% of value added in manufacturing)3
Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)3
Machinery and transport equipment (% of value added in manufacturing)3
Manufactures exports (% of merchandise exports)3
External health expenditure (% of current health expenditure)3
Labor force with basic education (% of total working-age population with basic education)3
Other taxes payable by businesses (% of commercial profits)3
General government final consumption expenditure (% of GDP)3
Logistics performance index: Ability to track and trace consignments (1=low to 5=high)3
Current account balance (BoP, current US$)2
Market capitalization of listed domestic companies (% of GDP)2
Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)2
Merchandise imports from economies in the Arab World (% of total merchandise imports)2
Profit tax (% of commercial profits)2
Grants and other revenue (% of revenue)2
Business extent of disclosure index (0=less disclosure to 10=more disclosure)2
Insurance and financial services (% of service imports, BoP)2
Sex ratio at birth (male births per female births)2
Time required to build a warehouse (days)2
Procedures to build a warehouse (number)2
Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)2
High-technology exports (% of manufactured exports)2
Trade in services (% of GDP)2
Ores and metals exports (% of merchandise exports)2
Tax revenue (% of GDP)2
Fuel exports (% of merchandise exports)2
Surface area (sq2
Ores and metals imports (% of merchandise imports)2
GHG net emissions/removals by LUCF (Mt of CO2 equivalent)2
Other manufacturing (% of value added in manufacturing)2
CO2 emissions from manufacturing industries and construction (% of total fuel combustion)2
CO2 emissions from transport (% of total fuel combustion)2
Labor tax and contributions (% of commercial profits)2
Land area (sq1
Travel services (% of service imports, BoP)1
Households and NPISHs final consumption expenditure (% of GDP)1
Travel services (% of commercial service exports)1
Insurance and financial services (% of service exports, BoP)1
Insurance and financial services (% of commercial service imports)1
Insurance and financial services (% of commercial service exports)1
Fixed telephone subscriptions (per 100 people)1
Arms exports (SIPRI trend indicator values)1
External balance on goods and services (% of GDP)1
Manufactures imports (% of merchandise imports)1
Electric power transmission and distribution losses (% of output)1
Procedures to register property (number)1
Arms imports (SIPRI trend indicator values)1
Broad money to total reserves ratio1
Diabetes prevalence (% of population ages 20 to 79)1
Gross capital formation (% of GDP)1
Tax payments (number)1
Electricity production from nuclear sources (% of total)1
Merchandise exports to economies in the Arab World (% of total merchandise exports)1
Net official development assistance and official aid received (current US$)1
Net official development assistance and official aid received (constant 2018 US$)1
Time required to enforce a contract (days)1
Net capital account (BoP, current US$)1
Natural gas rents (% of GDP)1
Expenditure on tertiary education (% of government expenditure on education)1
Gross fixed capital formation (% of GDP)1
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from IPython.display import HTML\n", + "\n", + "HTML(df_indicators.to_html(index=False))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Review widgets, obsoleted" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we’ve loaded the data, we can start right away to create widgets. These widgets are essentials to add interactivity to our visualizations. We’re going to use two widgets: both, multiple selection widgets. To create these widgets, we can use `ipywidgets` library that is available for Jupyter Notebook.\n", + "\n", + "The first widget that we are going to create is the multiple selection widget. We can do this by using `SelectMultiple()attribute` from `ipywidgets`. With this widget, we have the option to visualize the R^2 only in particular selection of indicators instead of all.\n", + "\n", + "The first argument that we should specify is `options` , which should contain the list of available options of our variable (in our case different indicators). The next one is `value` , which should contain the variable values that we want to display as default, and then `description` is for the text field to describe the name of the widget.The rest of options are just visual details." + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, "outputs": [ { "ename": "NameError", @@ -9765,7 +11411,7 @@ "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\msanchis\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 131\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m unique_tri \u001b[39m=\u001b[39m demo2[\u001b[39m'\u001b[39m\u001b[39mIndicator\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39munique()\n\u001b[0;32m 2\u001b[0m tri \u001b[39m=\u001b[39m widgets\u001b[39m.\u001b[39mSelectMultiple(\n\u001b[0;32m 3\u001b[0m options \u001b[39m=\u001b[39m unique_tri\u001b[39m.\u001b[39mtolist(),\n\u001b[0;32m 4\u001b[0m value \u001b[39m=\u001b[39m [\u001b[39m'\u001b[39m\u001b[39mExports-G&S\u001b[39m\u001b[39m'\u001b[39m],\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 7\u001b[0m layout \u001b[39m=\u001b[39m Layout(width\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m50\u001b[39m\u001b[39m%\u001b[39m\u001b[39m'\u001b[39m, height\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m80px\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m 8\u001b[0m )\n\u001b[0;32m 10\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mgraf1\u001b[39m(tri):\n", + "\u001b[1;32mc:\\Users\\msanchis\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 138\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m unique_tri \u001b[39m=\u001b[39m demo2[\u001b[39m'\u001b[39m\u001b[39mIndicator\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39munique()\n\u001b[0;32m 2\u001b[0m tri \u001b[39m=\u001b[39m widgets\u001b[39m.\u001b[39mSelectMultiple(\n\u001b[0;32m 3\u001b[0m options \u001b[39m=\u001b[39m unique_tri\u001b[39m.\u001b[39mtolist(),\n\u001b[0;32m 4\u001b[0m value \u001b[39m=\u001b[39m [\u001b[39m'\u001b[39m\u001b[39mExports-G&S\u001b[39m\u001b[39m'\u001b[39m],\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 7\u001b[0m layout \u001b[39m=\u001b[39m Layout(width\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m50\u001b[39m\u001b[39m%\u001b[39m\u001b[39m'\u001b[39m, height\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m80px\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m 8\u001b[0m )\n\u001b[0;32m 10\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mgraf1\u001b[39m(tri):\n", "\u001b[1;31mNameError\u001b[0m: name 'demo2' is not defined" ] } From 614e648738c34811629f58d8b99e1b815b35fe88 Mon Sep 17 00:00:00 2001 From: amarchve Date: Thu, 28 Jul 2022 12:17:59 +0200 Subject: [PATCH 32/86] Moved corr --- WDI-Complete code.ipynb | 104 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 104 insertions(+) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 70ec3de..6b370d2 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -11381,6 +11381,110 @@ "HTML(df_indicators.to_html(index=False))" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df= pd.read_csv (os.getcwd()+'/Data/'+'GoldenDataFrame.csv')\n", + "df_study=df[[c for c in df.columns if c in columns]]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "moveddf=pd.DataFrame()\n", + "dat=df_study.loc[df_study.loc[:, 'Country'] == clist[0]]\n", + "clmns=dat.columns.values.tolist()\n", + "dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", + "tempdiffs=['GDP (current US$)+1','GDP (current US$)+2','GDP (current US$)+3','GDP (current US$)+5','GDP (current US$)+8','GDP (current US$)+13','GDP (current US$)+21']\n", + "cors=dat.corr('spearman')\n", + "for f in range(0, len(tempdiffs)):\n", + " cors.loc[:,'R^2 Spearman'] = cors[tempdiffs[f]]**2\n", + " cors.loc[:,'Indicator']=cors.index\n", + " corscolumn=cors[['Indicator','R^2 Spearman',tempdiffs[f]]]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.75]\n", + " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", + " corscolumn[ids]\n", + " maxs_df=pd.DataFrame(corscolumn[ids])\n", + " maxs_df['Behaviour']=np.where(maxs_df[tempdiffs[f]]>0, 'Positive', 'Negative')\n", + " maxs_df['Country']= clist[0]\n", + " maxs_df[['Variable','Moved']]=tempdiffs[f].split('+')\n", + " maxs_df.drop(tempdiffs[f],axis=1,inplace=True)\n", + " maxs_df.drop(columns='Variable',inplace=True)\n", + " maxs_df=maxs_df.reset_index(drop=True)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='GDP (current US$)'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator'].isin(tempdiffs)].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", + " maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)\n", + " moveddf=pd.concat((moveddf,maxs_df),axis=0)\n", + "ids=moveddf.groupby('Indicator')['R^2 Spearman'].transform(max)==moveddf['R^2 Spearman']\n", + "moveddf[ids]\n", + "moveddf=pd.DataFrame(moveddf[ids])\n", + "temporaldf=moveddf" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for i in range(1,len(clist)):\n", + " dat=df_study.loc[df_study.loc[:, 'Country'] == clist[i]]\n", + " clmns=dat.columns.values.tolist()\n", + " dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", + " tempdiffs=['GDP (current US$)+1','GDP (current US$)+2','GDP (current US$)+3','GDP (current US$)+5','GDP (current US$)+8','GDP (current US$)+13','GDP (current US$)+21']\n", + " cors=dat.corr('spearman')\n", + " moveddf=pd.DataFrame()\n", + " for f in range(0, len(tempdiffs)):\n", + " cors.loc[:,'R^2 Spearman'] = cors[tempdiffs[f]]**2\n", + " cors.loc[:,'Indicator']=cors.index\n", + " corscolumn=cors[['Indicator','R^2 Spearman',tempdiffs[f]]]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.75]\n", + " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", + " corscolumn[ids]\n", + " maxs_df=pd.DataFrame(corscolumn[ids])\n", + " maxs_df['Behaviour']=np.where(maxs_df[tempdiffs[f]]>0, 'Positive', 'Negative')\n", + " maxs_df['Country']= clist[i]\n", + " maxs_df[['Variable','Moved']]=tempdiffs[f].split('+')\n", + " maxs_df.drop(tempdiffs[f],axis=1,inplace=True)\n", + " maxs_df.drop(columns='Variable',inplace=True)\n", + " maxs_df=maxs_df.reset_index(drop=True)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator'].isin(tempdiffs)].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", + " maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)\n", + " moveddf=pd.concat((moveddf,maxs_df),axis=0)\n", + " ids=moveddf.groupby('Indicator')['R^2 Spearman'].transform(max)==moveddf['R^2 Spearman']\n", + " moveddf[ids]\n", + " moveddf=pd.DataFrame(moveddf[ids])\n", + " temporaldf=pd.concat((temporaldf,moveddf),axis=0)\n", + "temporaldf" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "columnssf=temporaldf.Indicator.to_list()\n", + "columnsf=np.unique(columnssf)\n", + "powerind=[]\n", + "for i in range(0, len(columnsf)):\n", + " powerind.append(columnssf.count(columnsf[i]))\n", + "\n", + "df_indicators = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Indicator','Number of times repeated'])\n", + "df_indicators=df_indicators.sort_values(by = 'Number of times repeated',ascending = False)\n", + "df_indicators" + ] + }, { "cell_type": "markdown", "metadata": {}, From c417ff98388055c92d08163ac20dabe87222a72b Mon Sep 17 00:00:00 2001 From: amarchve Date: Thu, 28 Jul 2022 14:01:38 +0200 Subject: [PATCH 33/86] final tables visualized --- WDI-Complete code.ipynb | 55 ++++++++++++++++++++++++++++++++++++++--- 1 file changed, 51 insertions(+), 4 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 6b370d2..f6f8a13 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -11474,15 +11474,62 @@ "metadata": {}, "outputs": [], "source": [ - "columnssf=temporaldf.Indicator.to_list()\n", + "alist=['Indicator','R^2 Spearman','Behaviour','Country']\n", + "forcomparassion=corrtable[alist]\n", + "\n", + "quarterfinal=pd.concat((temporaldf,forcomparassion),axis=0)\n", + "quarterfinal.fillna('None',inplace=True)\n", + "quarterfinal" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "final=pd.DataFrame()\n", + "for i in range(0,len(clist)):\n", + " dat=quarterfinal.loc[quarterfinal.loc[:, 'Country'] == clist[i]]\n", + " ids=dat.groupby('Indicator')['R^2 Spearman'].transform(max)==dat['R^2 Spearman']\n", + " dat[ids]\n", + " semifinal=pd.DataFrame(dat[ids])\n", + " final=pd.concat((final,semifinal), axis=0)\n", + "final" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "columnssf=final.Indicator.to_list()\n", "columnsf=np.unique(columnssf)\n", "powerind=[]\n", "for i in range(0, len(columnsf)):\n", " powerind.append(columnssf.count(columnsf[i]))\n", "\n", - "df_indicators = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Indicator','Number of times repeated'])\n", - "df_indicators=df_indicators.sort_values(by = 'Number of times repeated',ascending = False)\n", - "df_indicators" + "final_indicators = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Indicator','Number of times repeated'])\n", + "final_indicators=final_indicators.sort_values(by = 'Number of times repeated',ascending = False)\n", + "final_indicators" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "columnssf=final.Moved.to_list()\n", + "columnsf=np.unique(columnssf)\n", + "powerind=[]\n", + "for i in range(0, len(columnsf)):\n", + " powerind.append(columnssf.count(columnsf[i]))\n", + "\n", + "final_moved = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Time moved','Number of times repeated'])\n", + "final_moved=final_moved.sort_values(by = 'Number of times repeated',ascending = False)\n", + "final_moved" ] }, { From 15a918fcb9ed684e3d4590d59afbbcdece8e3f79 Mon Sep 17 00:00:00 2001 From: amarchve Date: Thu, 28 Jul 2022 14:05:04 +0200 Subject: [PATCH 34/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index f6f8a13..27a8480 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -11474,11 +11474,11 @@ "metadata": {}, "outputs": [], "source": [ - "alist=['Indicator','R^2 Spearman','Behaviour','Country']\n", + "alist=['Indicator','R^2 Spearman','Behaviour','Country','Type']\n", "forcomparassion=corrtable[alist]\n", "\n", "quarterfinal=pd.concat((temporaldf,forcomparassion),axis=0)\n", - "quarterfinal.fillna('None',inplace=True)\n", + "quarterfinal.fillna('Does not apply',inplace=True)\n", "quarterfinal" ] }, @@ -15192,7 +15192,7 @@ }, "vscode": { "interpreter": { - "hash": "0581013962d1422e924d6baa4c1347697ec037e3370ec501496e00dda3f2654b" + "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" } } }, From 9975ceccb052ab390d94bab26dd808ba6ca566db Mon Sep 17 00:00:00 2001 From: Mferna38 Date: Thu, 28 Jul 2022 14:55:32 +0200 Subject: [PATCH 35/86] Marias' changes --- Data/dfindicators - Copy.xlsx | Bin 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"execution_count": 228, "metadata": {}, "outputs": [ { @@ -1224,7 +1224,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 14, + "execution_count": 228, "metadata": {}, "output_type": "execute_result" } @@ -1237,7 +1237,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 229, "metadata": {}, "outputs": [ { @@ -1341,7 +1341,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 15, + "execution_count": 229, "metadata": {}, "output_type": "execute_result" } @@ -1361,7 +1361,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 230, "metadata": {}, "outputs": [ { @@ -1528,7 +1528,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 16, + "execution_count": 230, "metadata": {}, "output_type": "execute_result" } @@ -1541,7 +1541,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 231, "metadata": {}, "outputs": [ { @@ -1550,7 +1550,7 @@ "['Country Code', 'Indicator Name', 'Date', 'Value_x', 'Value_y', 'Value']" ] }, - "execution_count": 17, + "execution_count": 231, "metadata": {}, "output_type": "execute_result" } @@ -1568,7 +1568,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 232, "metadata": {}, "outputs": [ { @@ -1735,7 +1735,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 18, + "execution_count": 232, "metadata": {}, "output_type": "execute_result" } @@ -1754,7 +1754,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 233, "metadata": {}, "outputs": [ { @@ -1921,7 +1921,7 @@ "[1189068 rows x 6 columns]" ] }, - "execution_count": 19, + "execution_count": 233, "metadata": {}, "output_type": "execute_result" } @@ -1940,7 +1940,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 234, "metadata": {}, "outputs": [ { @@ -2083,7 +2083,7 @@ "[1189068 rows x 4 columns]" ] }, - "execution_count": 20, + "execution_count": 234, "metadata": {}, "output_type": "execute_result" } @@ -2095,7 +2095,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 235, "metadata": {}, "outputs": [], "source": [ @@ -2104,7 +2104,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 236, "metadata": {}, "outputs": [ { @@ -2685,7 +2685,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 22, + "execution_count": 236, "metadata": {}, "output_type": "execute_result" } @@ -2704,7 +2704,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 237, "metadata": {}, "outputs": [ { @@ -2713,7 +2713,7 @@ "1016628" ] }, - "execution_count": 23, + "execution_count": 237, "metadata": {}, "output_type": "execute_result" } @@ -2738,7 +2738,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 238, "metadata": {}, "outputs": [], "source": [ @@ -2762,7 +2762,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 239, "metadata": {}, "outputs": [ { @@ -2771,7 +2771,7 @@ "685787" ] }, - "execution_count": 25, + "execution_count": 239, "metadata": {}, "output_type": "execute_result" } @@ -2797,7 +2797,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 240, "metadata": {}, "outputs": [ { @@ -2806,7 +2806,7 @@ "498648" ] }, - "execution_count": 26, + "execution_count": 240, "metadata": {}, "output_type": "execute_result" } @@ -2832,7 +2832,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 241, "metadata": {}, "outputs": [ { @@ -2841,7 +2841,7 @@ "685787" ] }, - "execution_count": 27, + "execution_count": 241, "metadata": {}, "output_type": "execute_result" } @@ -2874,7 +2874,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 242, "metadata": {}, "outputs": [ { @@ -2883,7 +2883,7 @@ "685787" ] }, - "execution_count": 28, + "execution_count": 242, "metadata": {}, "output_type": "execute_result" } @@ -2904,7 +2904,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 243, "metadata": {}, "outputs": [ { @@ -2913,7 +2913,7 @@ "310048" ] }, - "execution_count": 29, + "execution_count": 243, "metadata": {}, "output_type": "execute_result" } @@ -2941,7 +2941,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 244, "metadata": {}, "outputs": [ { @@ -2950,7 +2950,7 @@ "310048" ] }, - "execution_count": 30, + "execution_count": 244, "metadata": {}, "output_type": "execute_result" } @@ -2987,7 +2987,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 245, "metadata": {}, "outputs": [ { @@ -3568,7 +3568,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 31, + "execution_count": 245, "metadata": {}, "output_type": "execute_result" } @@ -3598,7 +3598,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 246, "metadata": {}, "outputs": [ { @@ -4550,7 +4550,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 32, + "execution_count": 246, "metadata": {}, "output_type": 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IndicatorCountryYearAccess to clean fuels and technologies for cooking (% of population)Access to clean fuels and technologies for cooking, rural (% of rural population)Access to clean fuels and technologies for cooking, urban (% of urban population)Access to electricity (% of population)Access to electricity, rural (% of rural population)Access to electricity, urban (% of urban population)Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)...Urban population growth (annual %)Urban population living in areas where elevation is below 5 meters (% of total population)Vulnerable employment, female (% of female employment) (modeled ILO estimate)Vulnerable employment, male (% of male employment) (modeled ILO estimate)Vulnerable employment, total (% of total employment) (modeled ILO estimate)Wage and salaried workers, female (% of female employment) (modeled ILO estimate)Wage and salaried workers, male (% of male employment) (modeled ILO estimate)Wage and salaried workers, total (% of total employment) (modeled ILO estimate)Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)Women Business and the Law Index Score (scale 1-100)
352DEU19901.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...1.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000001.000000
353DEU19911.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...0.8850230.9992091.0000001.0000001.0000001.0000001.0000001.0000001.0000001.000000
354DEU19921.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...0.8372770.9984181.0070181.0270831.0193420.9984790.9941640.9960151.0000001.000000
355DEU19931.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...0.7989350.9976271.0263161.0500001.0406190.9958720.9903490.9926931.0278821.000000
356DEU19941.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...0.6022960.9968360.9842101.0833331.0386850.9954370.9846260.9893721.0557651.000000
..................................................................
251CHN20171.7428572.3489361.2611561.0306961.0487071.01.2571691.272562...0.6357001.3628190.7072500.6172750.6562041.5557861.9849761.7687988.6109871.273684
252CHN20181.8000002.5106381.2787131.0306961.0487071.01.2571691.272562...0.5808791.3628190.6949380.6027590.6426471.5789322.0205201.7982788.6109871.273684
253CHN20191.8476192.6340431.2933431.0306961.0487071.01.2571691.272562...0.5314031.3628190.6803470.5866630.6268791.6068252.0622941.8330578.6109871.273684
254CHN20201.8904762.7744681.3079741.0306961.0487071.01.2571691.272562...0.4793971.3628190.6803470.5866630.6268791.6068252.0622941.8330578.6109871.273684
255CHN20211.8904762.7744681.3079741.0306961.0487071.01.2571691.272562...0.4793971.3628190.6803470.5866630.6268791.6068252.0622941.8330578.6109871.273684
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1536 rows × 1060 columns

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" - ], - "text/plain": [ - "Indicator Country Year \\\n", - "352 DEU 1990 \n", - "353 DEU 1991 \n", - "354 DEU 1992 \n", - "355 DEU 1993 \n", - "356 DEU 1994 \n", - ".. ... ... \n", - "251 CHN 2017 \n", - "252 CHN 2018 \n", - "253 CHN 2019 \n", - "254 CHN 2020 \n", - "255 CHN 2021 \n", - "\n", - "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.000000 \n", - "355 1.000000 \n", - "356 1.000000 \n", - ".. ... \n", - "251 1.742857 \n", - "252 1.800000 \n", - "253 1.847619 \n", - "254 1.890476 \n", - "255 1.890476 \n", - "\n", - "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.000000 \n", - "355 1.000000 \n", - "356 1.000000 \n", - ".. ... \n", - "251 2.348936 \n", - "252 2.510638 \n", - "253 2.634043 \n", - "254 2.774468 \n", - "255 2.774468 \n", - "\n", - "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.000000 \n", - "355 1.000000 \n", - "356 1.000000 \n", - ".. ... \n", - "251 1.261156 \n", - "252 1.278713 \n", - "253 1.293343 \n", - "254 1.307974 \n", - "255 1.307974 \n", - "\n", - "Indicator Access to electricity (% of population) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.000000 \n", - "355 1.000000 \n", - "356 1.000000 \n", - ".. ... \n", - "251 1.030696 \n", - "252 1.030696 \n", - "253 1.030696 \n", - "254 1.030696 \n", - "255 1.030696 \n", - "\n", - "Indicator Access to electricity, rural (% of rural population) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.000000 \n", - "355 1.000000 \n", - "356 1.000000 \n", - ".. ... \n", - "251 1.048707 \n", - "252 1.048707 \n", - "253 1.048707 \n", - "254 1.048707 \n", - "255 1.048707 \n", - "\n", - "Indicator Access to electricity, urban (% of urban population) \\\n", - "352 1.0 \n", - "353 1.0 \n", - "354 1.0 \n", - "355 1.0 \n", - "356 1.0 \n", - ".. ... \n", - "251 1.0 \n", - "252 1.0 \n", - "253 1.0 \n", - "254 1.0 \n", - "255 1.0 \n", - "\n", - "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.000000 \n", - "355 1.000000 \n", - "356 1.000000 \n", - ".. ... \n", - "251 1.257169 \n", - "252 1.257169 \n", - "253 1.257169 \n", - "254 1.257169 \n", - "255 1.257169 \n", - "\n", - "Indicator Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.000000 \n", - "355 1.000000 \n", - "356 1.000000 \n", - ".. ... \n", - "251 1.272562 \n", - "252 1.272562 \n", - "253 1.272562 \n", - "254 1.272562 \n", - "255 1.272562 \n", - "\n", - "Indicator ... Urban population growth (annual %) \\\n", - "352 ... 1.000000 \n", - "353 ... 0.885023 \n", - "354 ... 0.837277 \n", - "355 ... 0.798935 \n", - "356 ... 0.602296 \n", - ".. ... ... \n", - "251 ... 0.635700 \n", - "252 ... 0.580879 \n", - "253 ... 0.531403 \n", - "254 ... 0.479397 \n", - "255 ... 0.479397 \n", - "\n", - "Indicator Urban population living in areas where elevation is below 5 meters (% of total population) \\\n", - "352 1.000000 \n", - "353 0.999209 \n", - "354 0.998418 \n", - "355 0.997627 \n", - "356 0.996836 \n", - ".. ... \n", - "251 1.362819 \n", - "252 1.362819 \n", - "253 1.362819 \n", - "254 1.362819 \n", - "255 1.362819 \n", - "\n", - "Indicator Vulnerable employment, female (% of female employment) (modeled ILO estimate) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.007018 \n", - "355 1.026316 \n", - "356 0.984210 \n", - ".. ... \n", - "251 0.707250 \n", - "252 0.694938 \n", - "253 0.680347 \n", - "254 0.680347 \n", - "255 0.680347 \n", - "\n", - "Indicator Vulnerable employment, male (% of male employment) (modeled ILO estimate) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.027083 \n", - "355 1.050000 \n", - "356 1.083333 \n", - ".. ... \n", - "251 0.617275 \n", - "252 0.602759 \n", - "253 0.586663 \n", - "254 0.586663 \n", - "255 0.586663 \n", - "\n", - "Indicator Vulnerable employment, total (% of total employment) (modeled ILO estimate) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.019342 \n", - "355 1.040619 \n", - "356 1.038685 \n", - ".. ... \n", - "251 0.656204 \n", - "252 0.642647 \n", - "253 0.626879 \n", - "254 0.626879 \n", - "255 0.626879 \n", - "\n", - "Indicator Wage and salaried workers, female (% of female employment) (modeled ILO estimate) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 0.998479 \n", - "355 0.995872 \n", - "356 0.995437 \n", - ".. ... \n", - "251 1.555786 \n", - "252 1.578932 \n", - "253 1.606825 \n", - "254 1.606825 \n", - "255 1.606825 \n", - "\n", - "Indicator Wage and salaried workers, male (% of male employment) (modeled ILO estimate) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 0.994164 \n", - "355 0.990349 \n", - "356 0.984626 \n", - ".. ... \n", - "251 1.984976 \n", - "252 2.020520 \n", - "253 2.062294 \n", - "254 2.062294 \n", - "255 2.062294 \n", - "\n", - "Indicator Wage and salaried workers, total (% of total employment) (modeled ILO estimate) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 0.996015 \n", - "355 0.992693 \n", - "356 0.989372 \n", - ".. ... \n", - "251 1.768798 \n", - "252 1.798278 \n", - "253 1.833057 \n", - "254 1.833057 \n", - "255 1.833057 \n", - "\n", - "Indicator Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.000000 \n", - "355 1.027882 \n", - "356 1.055765 \n", - ".. ... \n", - "251 8.610987 \n", - "252 8.610987 \n", - "253 8.610987 \n", - "254 8.610987 \n", - "255 8.610987 \n", - "\n", - "Indicator Women Business and the Law Index Score (scale 1-100) \n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.000000 \n", - "355 1.000000 \n", - "356 1.000000 \n", - ".. ... \n", - "251 1.273684 \n", - "252 1.273684 \n", - "253 1.273684 \n", - "254 1.273684 \n", - "255 1.273684 \n", - "\n", - "[1536 rows x 1060 columns]" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 67\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(\u001b[39m2\u001b[39m,\u001b[39mlen\u001b[39m(columns)):\n\u001b[0;32m 4\u001b[0m a\u001b[39m=\u001b[39mcolumns[i]\n\u001b[1;32m----> 5\u001b[0m datae[a]\u001b[39m=\u001b[39mdatae[a]\u001b[39m/\u001b[39mdatae\u001b[39m.\u001b[39miloc[\u001b[39m0\u001b[39m,i]\n\u001b[0;32m 6\u001b[0m datau\u001b[39m=\u001b[39mpd\u001b[39m.\u001b[39mconcat((datau, datae), axis \u001b[39m=\u001b[39m \u001b[39m0\u001b[39m)\n\u001b[0;32m 7\u001b[0m datau\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\frame.py:3655\u001b[0m, in \u001b[0;36mDataFrame.__setitem__\u001b[1;34m(self, key, value)\u001b[0m\n\u001b[0;32m 3652\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_setitem_array([key], value)\n\u001b[0;32m 3653\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 3654\u001b[0m \u001b[39m# set column\u001b[39;00m\n\u001b[1;32m-> 3655\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_set_item(key, value)\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\frame.py:3845\u001b[0m, in \u001b[0;36mDataFrame._set_item\u001b[1;34m(self, key, value)\u001b[0m\n\u001b[0;32m 3842\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(existing_piece, DataFrame):\n\u001b[0;32m 3843\u001b[0m value \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mtile(value, (\u001b[39mlen\u001b[39m(existing_piece\u001b[39m.\u001b[39mcolumns), \u001b[39m1\u001b[39m))\u001b[39m.\u001b[39mT\n\u001b[1;32m-> 3845\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_set_item_mgr(key, value)\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\frame.py:3810\u001b[0m, in \u001b[0;36mDataFrame._set_item_mgr\u001b[1;34m(self, key, value)\u001b[0m\n\u001b[0;32m 3806\u001b[0m \u001b[39m# check if we are modifying a copy\u001b[39;00m\n\u001b[0;32m 3807\u001b[0m \u001b[39m# try to set first as we want an invalid\u001b[39;00m\n\u001b[0;32m 3808\u001b[0m \u001b[39m# value exception to occur first\u001b[39;00m\n\u001b[0;32m 3809\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[1;32m-> 3810\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_check_setitem_copy()\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\generic.py:4018\u001b[0m, in \u001b[0;36mNDFrame._check_setitem_copy\u001b[1;34m(self, t, force)\u001b[0m\n\u001b[0;32m 4016\u001b[0m \u001b[39mraise\u001b[39;00m com\u001b[39m.\u001b[39mSettingWithCopyError(t)\n\u001b[0;32m 4017\u001b[0m \u001b[39melif\u001b[39;00m value \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mwarn\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[1;32m-> 4018\u001b[0m warnings\u001b[39m.\u001b[39mwarn(t, com\u001b[39m.\u001b[39mSettingWithCopyWarning, stacklevel\u001b[39m=\u001b[39mfind_stack_level())\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\util\\_exceptions.py:32\u001b[0m, in \u001b[0;36mfind_stack_level\u001b[1;34m()\u001b[0m\n\u001b[0;32m 27\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mfind_stack_level\u001b[39m() \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mint\u001b[39m:\n\u001b[0;32m 28\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m 29\u001b[0m \u001b[39m Find the first place in the stack that is not inside pandas\u001b[39;00m\n\u001b[0;32m 30\u001b[0m \u001b[39m (tests notwithstanding).\u001b[39;00m\n\u001b[0;32m 31\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[1;32m---> 32\u001b[0m stack \u001b[39m=\u001b[39m inspect\u001b[39m.\u001b[39;49mstack()\n\u001b[0;32m 34\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mpandas\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mpd\u001b[39;00m\n\u001b[0;32m 36\u001b[0m pkg_dir \u001b[39m=\u001b[39m os\u001b[39m.\u001b[39mpath\u001b[39m.\u001b[39mdirname(pd\u001b[39m.\u001b[39m\u001b[39m__file__\u001b[39m)\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python310\\lib\\inspect.py:1678\u001b[0m, in \u001b[0;36mstack\u001b[1;34m(context)\u001b[0m\n\u001b[0;32m 1676\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mstack\u001b[39m(context\u001b[39m=\u001b[39m\u001b[39m1\u001b[39m):\n\u001b[0;32m 1677\u001b[0m \u001b[39m\"\"\"Return a list of records for the stack above the caller's frame.\"\"\"\u001b[39;00m\n\u001b[1;32m-> 1678\u001b[0m \u001b[39mreturn\u001b[39;00m getouterframes(sys\u001b[39m.\u001b[39;49m_getframe(\u001b[39m1\u001b[39;49m), context)\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python310\\lib\\inspect.py:1655\u001b[0m, in \u001b[0;36mgetouterframes\u001b[1;34m(frame, context)\u001b[0m\n\u001b[0;32m 1653\u001b[0m framelist \u001b[39m=\u001b[39m []\n\u001b[0;32m 1654\u001b[0m \u001b[39mwhile\u001b[39;00m frame:\n\u001b[1;32m-> 1655\u001b[0m frameinfo \u001b[39m=\u001b[39m (frame,) \u001b[39m+\u001b[39m getframeinfo(frame, context)\n\u001b[0;32m 1656\u001b[0m framelist\u001b[39m.\u001b[39mappend(FrameInfo(\u001b[39m*\u001b[39mframeinfo))\n\u001b[0;32m 1657\u001b[0m frame \u001b[39m=\u001b[39m frame\u001b[39m.\u001b[39mf_back\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python310\\lib\\inspect.py:1625\u001b[0m, in \u001b[0;36mgetframeinfo\u001b[1;34m(frame, context)\u001b[0m\n\u001b[0;32m 1622\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m isframe(frame):\n\u001b[0;32m 1623\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mTypeError\u001b[39;00m(\u001b[39m'\u001b[39m\u001b[39m{!r}\u001b[39;00m\u001b[39m is not a frame or traceback object\u001b[39m\u001b[39m'\u001b[39m\u001b[39m.\u001b[39mformat(frame))\n\u001b[1;32m-> 1625\u001b[0m filename \u001b[39m=\u001b[39m getsourcefile(frame) \u001b[39mor\u001b[39;00m getfile(frame)\n\u001b[0;32m 1626\u001b[0m \u001b[39mif\u001b[39;00m context \u001b[39m>\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[0;32m 1627\u001b[0m start \u001b[39m=\u001b[39m lineno \u001b[39m-\u001b[39m \u001b[39m1\u001b[39m \u001b[39m-\u001b[39m context\u001b[39m/\u001b[39m\u001b[39m/\u001b[39m\u001b[39m2\u001b[39m\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python310\\lib\\inspect.py:826\u001b[0m, in \u001b[0;36mgetsourcefile\u001b[1;34m(object)\u001b[0m\n\u001b[0;32m 823\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39many\u001b[39m(filename\u001b[39m.\u001b[39mendswith(s) \u001b[39mfor\u001b[39;00m s \u001b[39min\u001b[39;00m\n\u001b[0;32m 824\u001b[0m importlib\u001b[39m.\u001b[39mmachinery\u001b[39m.\u001b[39mEXTENSION_SUFFIXES):\n\u001b[0;32m 825\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m--> 826\u001b[0m \u001b[39mif\u001b[39;00m os\u001b[39m.\u001b[39;49mpath\u001b[39m.\u001b[39;49mexists(filename):\n\u001b[0;32m 827\u001b[0m \u001b[39mreturn\u001b[39;00m filename\n\u001b[0;32m 828\u001b[0m \u001b[39m# only return a non-existent filename if the module has a PEP 302 loader\u001b[39;00m\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python310\\lib\\genericpath.py:19\u001b[0m, in \u001b[0;36mexists\u001b[1;34m(path)\u001b[0m\n\u001b[0;32m 17\u001b[0m \u001b[39m\"\"\"Test whether a path exists. Returns False for broken symbolic links\"\"\"\u001b[39;00m\n\u001b[0;32m 18\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m---> 19\u001b[0m os\u001b[39m.\u001b[39;49mstat(path)\n\u001b[0;32m 20\u001b[0m \u001b[39mexcept\u001b[39;00m (\u001b[39mOSError\u001b[39;00m, \u001b[39mValueError\u001b[39;00m):\n\u001b[0;32m 21\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mFalse\u001b[39;00m\n", + "\u001b[1;31mKeyboardInterrupt\u001b[0m: " + ] } ], "source": [ @@ -5179,7 +4631,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -5730,7 +5182,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -5753,7 +5205,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -5785,7 +5237,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -6321,7 +5773,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -6330,7 +5782,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -6354,7 +5806,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -6364,7 +5816,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -6570,7 +6022,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -6771,7 +6223,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -6787,7 +6239,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -7011,7 +6463,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -7236,7 +6688,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -7460,7 +6912,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -7696,7 +7148,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -7944,7 +7396,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -8192,7 +7644,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -8209,7 +7661,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -8456,7 +7908,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -8712,7 +8164,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -8953,7 +8405,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -8962,7 +8414,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -8980,7 +8432,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9005,7 +8457,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -9045,7 +8497,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9054,7 +8506,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9092,7 +8544,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9114,7 +8566,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9132,7 +8584,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9152,7 +8604,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9172,7 +8624,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9194,7 +8646,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9216,7 +8668,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9243,7 +8695,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9261,7 +8713,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -9591,7 +9043,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9601,7 +9053,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -9737,7 +9189,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -11376,9 +10828,10 @@ } ], "source": [ - "from IPython.display import HTML\n", + "#To get list of all number of times repeated.\n", + "#from IPython.display import HTML\n", "\n", - "HTML(df_indicators.to_html(index=False))" + "#HTML(df_indicators.to_html(index=False))" ] }, { @@ -11536,7 +10989,80 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Review widgets, obsoleted" + "VISUALIZATION OF DATA" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#To understand better the data, we categorize it (Area label and Primary/Secondary).\n", + "pip install openpyxl\n", + "\n", + "categories= pd.read_excel (os.getcwd()+'/Data/'+'dfindicators - Copy.xlsx')\n", + "categories" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "joining=pd.merge(corrtable,categories,on='Indicator')\n", + "final_join=joining.rename(columns={'Type_x':'Type of corr','Type_y':'Area'})\n", + "final_join['Continent']=final_join['Country'].map(Categorization3.set_index('Country')['Continent'].to_dict())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Focus on the one where patterns can be extracted (pattern based on repetition, so frequency higher than 50%).\n", + "selected=final_join.loc[final_join['Number of times repeated']>=25]\n", + "selected_primary=selected.loc[selected['Level']=='primary']\n", + "selected_primary" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Needed imports\n", + "import matplotlib.pyplot as plt\n", + "\n", + "pip install seaborn\n", + "\n", + "import seaborn as sns\n", + "\n", + "import plotly.express as px\n", + "\n", + "import plotly.graph_objects as go\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#PLOT FOR INDICATORS FREQUENCY\n", + "unique_tric=selected_primary['Continent'].unique()\n", + "tric=widgets.SelectMultiple(options=unique_tric.tolist(),value=['North Africa'],description='Continent',disabled=False,layout=Layout(width='50%',height='80px'))\n", + "\n", + "def graph1(tric):\n", + " dat=selected_primary.loc[selected_primary.loc[:,'Continent'].isin(np.array(tric))]\n", + " fig=sns.countplot(dat, x='Indicator',animation_group=\"Area\",height=500,color='Area',range_y=[0,50])\n", + " fig.update_layout(title='Relevant indicators with GDP-frequency')\n", + " fig.update_layout(barmode='stack', xaxis={'categoryorder':'total descending'})\n", + " fig.show()\n", + "widgets.interactive(graph1,tric=tric)\n" ] }, { @@ -11552,7 +11078,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": null, "metadata": {}, "outputs": [ { From c946c677c456481e4df2b4821209c902307699fa Mon Sep 17 00:00:00 2001 From: amarchve Date: Fri, 29 Jul 2022 11:17:48 +0200 Subject: [PATCH 36/86] Final table --- WDI-Complete code.ipynb | 7386 +++++++++++++++++++++++++++------------ 1 file changed, 5091 insertions(+), 2295 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index df73faa..ade31cb 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 216, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 217, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -434,7 +434,7 @@ "[384370 rows x 67 columns]" ] }, - "execution_count": 217, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -460,7 +460,7 @@ }, { "cell_type": "code", - "execution_count": 218, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -506,7 +506,7 @@ }, { "cell_type": "code", - "execution_count": 219, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -522,7 +522,7 @@ }, { "cell_type": "code", - "execution_count": 220, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -538,7 +538,7 @@ }, { "cell_type": "code", - "execution_count": 221, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -681,7 +681,7 @@ "[1769879 rows x 4 columns]" ] }, - "execution_count": 221, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -702,7 +702,7 @@ }, { "cell_type": "code", - "execution_count": 222, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -711,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 223, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -724,7 +724,7 @@ "dtype: object" ] }, - "execution_count": 223, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -735,7 +735,7 @@ }, { "cell_type": "code", - "execution_count": 224, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -878,7 +878,7 @@ "[1225418 rows x 4 columns]" ] }, - "execution_count": 224, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -890,7 +890,7 @@ }, { "cell_type": "code", - "execution_count": 225, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -947,16 +947,16 @@ }, { "cell_type": "code", - "execution_count": 226, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 226, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -968,7 +968,7 @@ }, { "cell_type": "code", - "execution_count": 227, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -1099,7 +1099,7 @@ "[59239 rows x 2 columns]" ] }, - "execution_count": 227, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 228, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1224,7 +1224,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 228, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1237,7 +1237,7 @@ }, { "cell_type": "code", - "execution_count": 229, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -1341,7 +1341,7 @@ "[59239 rows x 1 columns]" ] }, - "execution_count": 229, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1361,7 +1361,7 @@ }, { "cell_type": "code", - "execution_count": 230, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -1528,7 +1528,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 230, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1541,7 +1541,7 @@ }, { "cell_type": "code", - "execution_count": 231, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -1550,7 +1550,7 @@ "['Country Code', 'Indicator Name', 'Date', 'Value_x', 'Value_y', 'Value']" ] }, - "execution_count": 231, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1568,7 +1568,7 @@ }, { "cell_type": "code", - "execution_count": 232, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1735,7 +1735,7 @@ "[1225418 rows x 6 columns]" ] }, - "execution_count": 232, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -1754,7 +1754,7 @@ }, { "cell_type": "code", - "execution_count": 233, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1921,7 +1921,7 @@ "[1189068 rows x 6 columns]" ] }, - "execution_count": 233, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1940,7 +1940,7 @@ }, { "cell_type": "code", - "execution_count": 234, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -2083,7 +2083,7 @@ "[1189068 rows x 4 columns]" ] }, - "execution_count": 234, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -2095,7 +2095,7 @@ }, { "cell_type": "code", - "execution_count": 235, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -2104,7 +2104,7 @@ }, { "cell_type": "code", - "execution_count": 236, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -2685,7 +2685,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 236, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -2704,7 +2704,7 @@ }, { "cell_type": "code", - "execution_count": 237, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -2713,7 +2713,7 @@ "1016628" ] }, - "execution_count": 237, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -2738,7 +2738,7 @@ }, { "cell_type": "code", - "execution_count": 238, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -2762,7 +2762,7 @@ }, { "cell_type": "code", - "execution_count": 239, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -2771,7 +2771,7 @@ "685787" ] }, - "execution_count": 239, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -2797,7 +2797,7 @@ }, { "cell_type": "code", - "execution_count": 240, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -2806,7 +2806,7 @@ "498648" ] }, - "execution_count": 240, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -2832,7 +2832,7 @@ }, { "cell_type": "code", - "execution_count": 241, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -2841,7 +2841,7 @@ "685787" ] }, - "execution_count": 241, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -2874,7 +2874,7 @@ }, { "cell_type": "code", - "execution_count": 242, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -2883,7 +2883,7 @@ "685787" ] }, - "execution_count": 242, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -2904,7 +2904,7 @@ }, { "cell_type": "code", - "execution_count": 243, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -2913,7 +2913,7 @@ "310048" ] }, - "execution_count": 243, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -2941,7 +2941,7 @@ }, { "cell_type": "code", - "execution_count": 244, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -2950,7 +2950,7 @@ "310048" ] }, - "execution_count": 244, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -2987,7 +2987,7 @@ }, { "cell_type": "code", - "execution_count": 245, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -3568,7 +3568,7 @@ "[1536 rows x 1438 columns]" ] }, - "execution_count": 245, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -3598,7 +3598,7 @@ }, { "cell_type": "code", - "execution_count": 246, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -4550,7 +4550,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 246, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -4572,7 +4572,7 @@ }, { "cell_type": "code", - "execution_count": 247, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -4581,7 +4581,7 @@ }, { "cell_type": "code", - "execution_count": 248, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -4594,44 +4594,7 @@ }, { "cell_type": "code", - "execution_count": 249, - "metadata": {}, - "outputs": [ - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 67\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(\u001b[39m2\u001b[39m,\u001b[39mlen\u001b[39m(columns)):\n\u001b[0;32m 4\u001b[0m a\u001b[39m=\u001b[39mcolumns[i]\n\u001b[1;32m----> 5\u001b[0m datae[a]\u001b[39m=\u001b[39mdatae[a]\u001b[39m/\u001b[39mdatae\u001b[39m.\u001b[39miloc[\u001b[39m0\u001b[39m,i]\n\u001b[0;32m 6\u001b[0m datau\u001b[39m=\u001b[39mpd\u001b[39m.\u001b[39mconcat((datau, datae), axis \u001b[39m=\u001b[39m \u001b[39m0\u001b[39m)\n\u001b[0;32m 7\u001b[0m datau\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\frame.py:3655\u001b[0m, in \u001b[0;36mDataFrame.__setitem__\u001b[1;34m(self, key, value)\u001b[0m\n\u001b[0;32m 3652\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_setitem_array([key], value)\n\u001b[0;32m 3653\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 3654\u001b[0m \u001b[39m# set column\u001b[39;00m\n\u001b[1;32m-> 3655\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_set_item(key, value)\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\frame.py:3845\u001b[0m, in \u001b[0;36mDataFrame._set_item\u001b[1;34m(self, key, value)\u001b[0m\n\u001b[0;32m 3842\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(existing_piece, DataFrame):\n\u001b[0;32m 3843\u001b[0m value \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mtile(value, (\u001b[39mlen\u001b[39m(existing_piece\u001b[39m.\u001b[39mcolumns), \u001b[39m1\u001b[39m))\u001b[39m.\u001b[39mT\n\u001b[1;32m-> 3845\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_set_item_mgr(key, value)\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\frame.py:3810\u001b[0m, in \u001b[0;36mDataFrame._set_item_mgr\u001b[1;34m(self, key, value)\u001b[0m\n\u001b[0;32m 3806\u001b[0m \u001b[39m# check if we are modifying a copy\u001b[39;00m\n\u001b[0;32m 3807\u001b[0m \u001b[39m# try to set first as we want an invalid\u001b[39;00m\n\u001b[0;32m 3808\u001b[0m \u001b[39m# value exception to occur first\u001b[39;00m\n\u001b[0;32m 3809\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[1;32m-> 3810\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_check_setitem_copy()\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\generic.py:4018\u001b[0m, in \u001b[0;36mNDFrame._check_setitem_copy\u001b[1;34m(self, t, force)\u001b[0m\n\u001b[0;32m 4016\u001b[0m \u001b[39mraise\u001b[39;00m com\u001b[39m.\u001b[39mSettingWithCopyError(t)\n\u001b[0;32m 4017\u001b[0m \u001b[39melif\u001b[39;00m value \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mwarn\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[1;32m-> 4018\u001b[0m warnings\u001b[39m.\u001b[39mwarn(t, com\u001b[39m.\u001b[39mSettingWithCopyWarning, stacklevel\u001b[39m=\u001b[39mfind_stack_level())\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\util\\_exceptions.py:32\u001b[0m, in \u001b[0;36mfind_stack_level\u001b[1;34m()\u001b[0m\n\u001b[0;32m 27\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mfind_stack_level\u001b[39m() \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mint\u001b[39m:\n\u001b[0;32m 28\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m 29\u001b[0m \u001b[39m Find the first place in the stack that is not inside pandas\u001b[39;00m\n\u001b[0;32m 30\u001b[0m \u001b[39m (tests notwithstanding).\u001b[39;00m\n\u001b[0;32m 31\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[1;32m---> 32\u001b[0m stack \u001b[39m=\u001b[39m inspect\u001b[39m.\u001b[39;49mstack()\n\u001b[0;32m 34\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mpandas\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mpd\u001b[39;00m\n\u001b[0;32m 36\u001b[0m pkg_dir \u001b[39m=\u001b[39m os\u001b[39m.\u001b[39mpath\u001b[39m.\u001b[39mdirname(pd\u001b[39m.\u001b[39m\u001b[39m__file__\u001b[39m)\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python310\\lib\\inspect.py:1678\u001b[0m, in \u001b[0;36mstack\u001b[1;34m(context)\u001b[0m\n\u001b[0;32m 1676\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mstack\u001b[39m(context\u001b[39m=\u001b[39m\u001b[39m1\u001b[39m):\n\u001b[0;32m 1677\u001b[0m \u001b[39m\"\"\"Return a list of records for the stack above the caller's frame.\"\"\"\u001b[39;00m\n\u001b[1;32m-> 1678\u001b[0m \u001b[39mreturn\u001b[39;00m getouterframes(sys\u001b[39m.\u001b[39;49m_getframe(\u001b[39m1\u001b[39;49m), context)\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python310\\lib\\inspect.py:1655\u001b[0m, in \u001b[0;36mgetouterframes\u001b[1;34m(frame, context)\u001b[0m\n\u001b[0;32m 1653\u001b[0m framelist \u001b[39m=\u001b[39m []\n\u001b[0;32m 1654\u001b[0m \u001b[39mwhile\u001b[39;00m frame:\n\u001b[1;32m-> 1655\u001b[0m frameinfo \u001b[39m=\u001b[39m (frame,) \u001b[39m+\u001b[39m getframeinfo(frame, context)\n\u001b[0;32m 1656\u001b[0m framelist\u001b[39m.\u001b[39mappend(FrameInfo(\u001b[39m*\u001b[39mframeinfo))\n\u001b[0;32m 1657\u001b[0m frame \u001b[39m=\u001b[39m frame\u001b[39m.\u001b[39mf_back\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python310\\lib\\inspect.py:1625\u001b[0m, in \u001b[0;36mgetframeinfo\u001b[1;34m(frame, context)\u001b[0m\n\u001b[0;32m 1622\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m isframe(frame):\n\u001b[0;32m 1623\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mTypeError\u001b[39;00m(\u001b[39m'\u001b[39m\u001b[39m{!r}\u001b[39;00m\u001b[39m is not a frame or traceback object\u001b[39m\u001b[39m'\u001b[39m\u001b[39m.\u001b[39mformat(frame))\n\u001b[1;32m-> 1625\u001b[0m filename \u001b[39m=\u001b[39m getsourcefile(frame) \u001b[39mor\u001b[39;00m getfile(frame)\n\u001b[0;32m 1626\u001b[0m \u001b[39mif\u001b[39;00m context \u001b[39m>\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[0;32m 1627\u001b[0m start \u001b[39m=\u001b[39m lineno \u001b[39m-\u001b[39m \u001b[39m1\u001b[39m \u001b[39m-\u001b[39m context\u001b[39m/\u001b[39m\u001b[39m/\u001b[39m\u001b[39m2\u001b[39m\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python310\\lib\\inspect.py:826\u001b[0m, in \u001b[0;36mgetsourcefile\u001b[1;34m(object)\u001b[0m\n\u001b[0;32m 823\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39many\u001b[39m(filename\u001b[39m.\u001b[39mendswith(s) \u001b[39mfor\u001b[39;00m s \u001b[39min\u001b[39;00m\n\u001b[0;32m 824\u001b[0m importlib\u001b[39m.\u001b[39mmachinery\u001b[39m.\u001b[39mEXTENSION_SUFFIXES):\n\u001b[0;32m 825\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m--> 826\u001b[0m \u001b[39mif\u001b[39;00m os\u001b[39m.\u001b[39;49mpath\u001b[39m.\u001b[39;49mexists(filename):\n\u001b[0;32m 827\u001b[0m \u001b[39mreturn\u001b[39;00m filename\n\u001b[0;32m 828\u001b[0m \u001b[39m# only return a non-existent filename if the module has a PEP 302 loader\u001b[39;00m\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python310\\lib\\genericpath.py:19\u001b[0m, in \u001b[0;36mexists\u001b[1;34m(path)\u001b[0m\n\u001b[0;32m 17\u001b[0m \u001b[39m\"\"\"Test whether a path exists. Returns False for broken symbolic links\"\"\"\u001b[39;00m\n\u001b[0;32m 18\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m---> 19\u001b[0m os\u001b[39m.\u001b[39;49mstat(path)\n\u001b[0;32m 20\u001b[0m \u001b[39mexcept\u001b[39;00m (\u001b[39mOSError\u001b[39;00m, \u001b[39mValueError\u001b[39;00m):\n\u001b[0;32m 21\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mFalse\u001b[39;00m\n", - "\u001b[1;31mKeyboardInterrupt\u001b[0m: " - ] - } - ], - "source": [ - "for u in range(1,len(country_list)):\n", - " datae=data.loc[data.loc[:, 'Country'] == country_list[u]] \n", - " for i in range(2,len(columns)):\n", - " a=columns[i]\n", - " datae[a]=datae[a]/datae.iloc[0,i]\n", - " datau=pd.concat((datau, datae), axis = 0)\n", - "datau" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -4666,16 +4629,16 @@ " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", " Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)\n", " ...\n", + " Urban population growth (annual %)\n", + " Urban population living in areas where elevation is below 5 meters (% of total population)\n", + " Vulnerable employment, female (% of female employment) (modeled ILO estimate)\n", + " Vulnerable employment, male (% of male employment) (modeled ILO estimate)\n", + " Vulnerable employment, total (% of total employment) (modeled ILO estimate)\n", + " Wage and salaried workers, female (% of female employment) (modeled ILO estimate)\n", + " Wage and salaried workers, male (% of male employment) (modeled ILO estimate)\n", " Wage and salaried workers, total (% of total employment) (modeled ILO estimate)\n", " Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)\n", " Women Business and the Law Index Score (scale 1-100)\n", - " GDP (current US$)+1\n", - " GDP (current US$)+2\n", - " GDP (current US$)+3\n", - " GDP (current US$)+5\n", - " GDP (current US$)+8\n", - " GDP (current US$)+13\n", - " GDP (current US$)+21\n", " \n", " \n", " \n", @@ -4695,13 +4658,13 @@ " 1.000000\n", " 1.000000\n", " 1.000000\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", " \n", " \n", " 353\n", @@ -4716,16 +4679,16 @@ " 1.000000\n", " 1.000000\n", " ...\n", + " 0.885023\n", + " 0.999209\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", " \n", " \n", " 354\n", @@ -4740,16 +4703,16 @@ " 1.000000\n", " 1.000000\n", " ...\n", + " 0.837277\n", + " 0.998418\n", + " 1.007018\n", + " 1.027083\n", + " 1.019342\n", + " 0.998479\n", + " 0.994164\n", " 0.996015\n", " 1.000000\n", " 1.000000\n", - " 1.054905\n", - " 1.000000\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", " \n", " \n", " 355\n", @@ -4764,16 +4727,16 @@ " 1.000000\n", " 1.000000\n", " ...\n", + " 0.798935\n", + " 0.997627\n", + " 1.026316\n", + " 1.050000\n", + " 1.040619\n", + " 0.995872\n", + " 0.990349\n", " 0.992693\n", " 1.027882\n", " 1.000000\n", - " 1.203142\n", - " 1.054905\n", - " 1.000000\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", " \n", " \n", " 356\n", @@ -4788,16 +4751,16 @@ " 1.000000\n", " 1.000000\n", " ...\n", + " 0.602296\n", + " 0.996836\n", + " 0.984210\n", + " 1.083333\n", + " 1.038685\n", + " 0.995437\n", + " 0.984626\n", " 0.989372\n", " 1.055765\n", " 1.000000\n", - " 1.169136\n", - " 1.203142\n", - " 1.054905\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", " \n", " \n", " ...\n", @@ -4836,16 +4799,16 @@ " 1.257169\n", " 1.272562\n", " ...\n", + " 0.635700\n", + " 1.362819\n", + " 0.707250\n", + " 0.617275\n", + " 0.656204\n", + " 1.555786\n", + " 1.984976\n", " 1.768798\n", " 8.610987\n", " 1.273684\n", - " 31.129362\n", - " 30.653486\n", - " 29.029938\n", - " 23.644292\n", - " 14.137706\n", - " 5.418606\n", - " 2.393592\n", " \n", " \n", " 252\n", @@ -4860,16 +4823,16 @@ " 1.257169\n", " 1.272562\n", " ...\n", + " 0.580879\n", + " 1.362819\n", + " 0.694938\n", + " 0.602759\n", + " 0.642647\n", + " 1.578932\n", + " 2.020520\n", " 1.798278\n", " 8.610987\n", " 1.273684\n", - " 34.114284\n", - " 31.129362\n", - " 30.653486\n", - " 26.521259\n", - " 16.868589\n", - " 6.334809\n", - " 2.664772\n", " \n", " \n", " 253\n", @@ -4884,16 +4847,16 @@ " 1.257169\n", " 1.272562\n", " ...\n", + " 0.531403\n", + " 1.362819\n", + " 0.680347\n", + " 0.586663\n", + " 0.626879\n", + " 1.606825\n", + " 2.062294\n", " 1.833057\n", " 8.610987\n", " 1.273684\n", - " 38.504955\n", - " 34.114284\n", - " 31.129362\n", - " 29.029938\n", - " 20.926519\n", - " 7.626636\n", - " 2.851657\n", " \n", " \n", " 254\n", @@ -4908,16 +4871,16 @@ " 1.257169\n", " 1.272562\n", " ...\n", + " 0.479397\n", + " 1.362819\n", + " 0.680347\n", + " 0.586663\n", + " 0.626879\n", + " 1.606825\n", + " 2.062294\n", " 1.833057\n", " 8.610987\n", " 1.273684\n", - " 39.572189\n", - " 38.504955\n", - " 34.114284\n", - " 30.653486\n", - " 23.644292\n", - " 9.838617\n", - " 3.031657\n", " \n", " \n", " 255\n", @@ -4932,20 +4895,20 @@ " 1.257169\n", " 1.272562\n", " ...\n", + " 0.479397\n", + " 1.362819\n", + " 0.680347\n", + " 0.586663\n", + " 0.626879\n", + " 1.606825\n", + " 2.062294\n", " 1.833057\n", " 8.610987\n", " 1.273684\n", - " 40.799246\n", - " 39.572189\n", - " 38.504955\n", - " 31.129362\n", - " 26.521259\n", - " 12.731623\n", - " 3.356853\n", " \n", " \n", "\n", - "

1536 rows × 1067 columns

\n", + "

1536 rows × 1060 columns

\n", "" ], "text/plain": [ @@ -5066,18 +5029,96 @@ "254 1.272562 \n", "255 1.272562 \n", "\n", - "Indicator ... \\\n", - "352 ... \n", - "353 ... \n", - "354 ... \n", - "355 ... \n", - "356 ... \n", - ".. ... \n", - "251 ... \n", - "252 ... \n", - "253 ... \n", - "254 ... \n", - "255 ... \n", + "Indicator ... Urban population growth (annual %) \\\n", + "352 ... 1.000000 \n", + "353 ... 0.885023 \n", + "354 ... 0.837277 \n", + "355 ... 0.798935 \n", + "356 ... 0.602296 \n", + ".. ... ... \n", + "251 ... 0.635700 \n", + "252 ... 0.580879 \n", + "253 ... 0.531403 \n", + "254 ... 0.479397 \n", + "255 ... 0.479397 \n", + "\n", + "Indicator Urban population living in areas where elevation is below 5 meters (% of total population) \\\n", + "352 1.000000 \n", + "353 0.999209 \n", + "354 0.998418 \n", + "355 0.997627 \n", + "356 0.996836 \n", + ".. ... \n", + "251 1.362819 \n", + "252 1.362819 \n", + "253 1.362819 \n", + "254 1.362819 \n", + "255 1.362819 \n", + "\n", + "Indicator Vulnerable employment, female (% of female employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.007018 \n", + "355 1.026316 \n", + "356 0.984210 \n", + ".. ... \n", + "251 0.707250 \n", + "252 0.694938 \n", + "253 0.680347 \n", + "254 0.680347 \n", + "255 0.680347 \n", + "\n", + "Indicator Vulnerable employment, male (% of male employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.027083 \n", + "355 1.050000 \n", + "356 1.083333 \n", + ".. ... \n", + "251 0.617275 \n", + "252 0.602759 \n", + "253 0.586663 \n", + "254 0.586663 \n", + "255 0.586663 \n", + "\n", + "Indicator Vulnerable employment, total (% of total employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.019342 \n", + "355 1.040619 \n", + "356 1.038685 \n", + ".. ... \n", + "251 0.656204 \n", + "252 0.642647 \n", + "253 0.626879 \n", + "254 0.626879 \n", + "255 0.626879 \n", + "\n", + "Indicator Wage and salaried workers, female (% of female employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 0.998479 \n", + "355 0.995872 \n", + "356 0.995437 \n", + ".. ... \n", + "251 1.555786 \n", + "252 1.578932 \n", + "253 1.606825 \n", + "254 1.606825 \n", + "255 1.606825 \n", + "\n", + "Indicator Wage and salaried workers, male (% of male employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 0.994164 \n", + "355 0.990349 \n", + "356 0.984626 \n", + ".. ... \n", + "251 1.984976 \n", + "252 2.020520 \n", + "253 2.062294 \n", + "254 2.062294 \n", + "255 2.062294 \n", "\n", "Indicator Wage and salaried workers, total (% of total employment) (modeled ILO estimate) \\\n", "352 1.000000 \n", @@ -5105,139 +5146,40 @@ "254 8.610987 \n", "255 8.610987 \n", "\n", - "Indicator Women Business and the Law Index Score (scale 1-100) \\\n", - "352 1.000000 \n", - "353 1.000000 \n", - "354 1.000000 \n", - "355 1.000000 \n", - "356 1.000000 \n", - ".. ... \n", - "251 1.273684 \n", - "252 1.273684 \n", - "253 1.273684 \n", - "254 1.273684 \n", - "255 1.273684 \n", - "\n", - "Indicator GDP (current US$)+1 GDP (current US$)+2 GDP (current US$)+3 \\\n", - "352 NaN NaN NaN \n", - "353 1.000000 NaN NaN \n", - "354 1.054905 1.000000 NaN \n", - "355 1.203142 1.054905 1.000000 \n", - "356 1.169136 1.203142 1.054905 \n", - ".. ... ... ... \n", - "251 31.129362 30.653486 29.029938 \n", - "252 34.114284 31.129362 30.653486 \n", - "253 38.504955 34.114284 31.129362 \n", - "254 39.572189 38.504955 34.114284 \n", - "255 40.799246 39.572189 38.504955 \n", - "\n", - "Indicator GDP (current US$)+5 GDP (current US$)+8 GDP (current US$)+13 \\\n", - "352 NaN NaN NaN \n", - "353 NaN NaN NaN \n", - "354 NaN NaN NaN \n", - "355 NaN NaN NaN \n", - "356 NaN NaN NaN \n", - ".. ... ... ... \n", - "251 23.644292 14.137706 5.418606 \n", - "252 26.521259 16.868589 6.334809 \n", - "253 29.029938 20.926519 7.626636 \n", - "254 30.653486 23.644292 9.838617 \n", - "255 31.129362 26.521259 12.731623 \n", - "\n", - "Indicator GDP (current US$)+21 \n", - "352 NaN \n", - "353 NaN \n", - "354 NaN \n", - "355 NaN \n", - "356 NaN \n", - ".. ... \n", - "251 2.393592 \n", - "252 2.664772 \n", - "253 2.851657 \n", - "254 3.031657 \n", - "255 3.356853 \n", + "Indicator Women Business and the Law Index Score (scale 1-100) \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.273684 \n", + "252 1.273684 \n", + "253 1.273684 \n", + "254 1.273684 \n", + "255 1.273684 \n", "\n", - "[1536 rows x 1067 columns]" + "[1536 rows x 1060 columns]" ] }, - "execution_count": 36, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "shifted=pd.DataFrame()\n", - "for i in range(0,len(country_list)):\n", - " dat=datau.loc[datau.loc[:, 'Country'] == country_list[i]]\n", - " dat['GDP (current US$)+1']=dat['GDP (current US$)'].shift(periods=1)\n", - " dat['GDP (current US$)+2']=dat['GDP (current US$)'].shift(periods=2)\n", - " dat['GDP (current US$)+3']=dat['GDP (current US$)'].shift(periods=3)\n", - " dat['GDP (current US$)+5']=dat['GDP (current US$)'].shift(periods=5)\n", - " dat['GDP (current US$)+8']=dat['GDP (current US$)'].shift(periods=8)\n", - " dat['GDP (current US$)+13']=dat['GDP (current US$)'].shift(periods=13)\n", - " dat['GDP (current US$)+21']=dat['GDP (current US$)'].shift(periods=21)\n", - " shifted=pd.concat((shifted, dat), axis = 0)\n", - "shifted" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "data=shifted" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For the next part of analyzing this data, we think it is gonna be interesting to have it classify by the categories of the Country groups defined before, to which we call \"Continent\". This category is useful as it groups the nations with similar economies or geographical proximity, so we can extract common conclusions from them." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We create a dictionary with the regions and the countries included in each one. Where we will relate the countries and regions so then we can apply the .map function and arrive to the final dataframe." + "for u in range(1,len(country_list)):\n", + " datae=data.loc[data.loc[:, 'Country'] == country_list[u]] \n", + " for i in range(2,len(columns)):\n", + " a=columns[i]\n", + " datae[a]=datae[a]/datae.iloc[0,i]\n", + " datau=pd.concat((datau, datae), axis = 0)\n", + "datau" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'DEU': 'Europe', 'FRA': 'Europe', 'SWE': 'Europe', 'GBR': 'Europe', 'ESP': 'Europe', 'HRV': 'Europe', 'POL': 'Europe', 'GRC': 'Europe', 'AUT': 'Europe', 'NLD': 'Europe', 'IRQ': 'Persian Gulf', 'QAT': 'Persian Gulf', 'ARE': 'Persian Gulf', 'SAU': 'Persian Gulf', 'AZE': 'Persian Gulf', 'YEM': 'Persian Gulf', 'YDR': 'Persian Gulf', 'OMN': 'Persian Gulf', 'DZA': 'North Africa', 'EGY': 'North Africa', 'LBY': 'North Africa', 'ISR': 'North Africa', 'TUR': 'North Africa', 'MAR': 'North Africa', 'SEN': 'South Africa', 'ZAF': 'South Africa', 'LBR': 'South Africa', 'MOZ': 'South Africa', 'CMR': 'South Africa', 'NGA': 'South Africa', 'GHA': 'South Africa', 'BGD': 'Asia', 'IND': 'Asia', 'VNM': 'Asia', 'THA': 'Asia', 'IDN': 'Asia', 'PHL': 'Asia', 'KOR': 'Asia', 'MEX': 'Latam', 'BRA': 'Latam', 'ARG': 'Latam', 'PER': 'Latam', 'VEN': 'Latam', 'COL': 'Latam', 'CHL': 'Latam', 'PAN': 'Latam', 'CRI': 'Latam', 'USA': 'Pair', 'CHN': 'Pair'}\n" - ] - } - ], - "source": [ - "countries_by_region = {\n", - " \"Europe\": ('DEU','FRA','SWE','GBR','ESP','HRV','POL','GRC','AUT','NLD'),\n", - " 'Persian Gulf': ('IRQ','QAT','ARE','SAU','AZE','YEM','YDR','OMN'),\n", - " 'North Africa':('DZA','EGY','LBY','ISR','TUR','MAR'),\n", - " 'South Africa':('SEN','ZAF','LBR','MOZ','CMR','NGA','GHA'),\n", - " 'Asia':('BGD','IND','VNM','THA','IDN','PHL','KOR'),\n", - " 'Latam':('MEX','BRA','ARG','PER','VEN','COL','CHL','PAN','CRI'),\n", - " 'Pair':('USA','CHN')\n", - " }\n", - "\n", - "all_countries = {}\n", - "for region in countries_by_region.keys():\n", - " for country in countries_by_region[region]:\n", - " all_countries[country] = region\n", - "\n", - "print(all_countries)" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -5272,6 +5214,7 @@ " Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", " Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)\n", " ...\n", + " Wage and salaried workers, total (% of total employment) (modeled ILO estimate)\n", " Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)\n", " Women Business and the Law Index Score (scale 1-100)\n", " GDP (current US$)+1\n", @@ -5281,7 +5224,6 @@ " GDP (current US$)+8\n", " GDP (current US$)+13\n", " GDP (current US$)+21\n", - " Continent\n", " \n", " \n", " \n", @@ -5300,6 +5242,7 @@ " ...\n", " 1.000000\n", " 1.000000\n", + " 1.000000\n", " NaN\n", " NaN\n", " NaN\n", @@ -5307,7 +5250,6 @@ " NaN\n", " NaN\n", " NaN\n", - " Europe\n", " \n", " \n", " 353\n", @@ -5325,13 +5267,13 @@ " 1.000000\n", " 1.000000\n", " 1.000000\n", + " 1.000000\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " Europe\n", " \n", " \n", " 354\n", @@ -5346,6 +5288,7 @@ " 1.000000\n", " 1.000000\n", " ...\n", + " 0.996015\n", " 1.000000\n", " 1.000000\n", " 1.054905\n", @@ -5355,7 +5298,6 @@ " NaN\n", " NaN\n", " NaN\n", - " Europe\n", " \n", " \n", " 355\n", @@ -5370,6 +5312,7 @@ " 1.000000\n", " 1.000000\n", " ...\n", + " 0.992693\n", " 1.027882\n", " 1.000000\n", " 1.203142\n", @@ -5379,7 +5322,6 @@ " NaN\n", " NaN\n", " NaN\n", - " Europe\n", " \n", " \n", " 356\n", @@ -5394,6 +5336,7 @@ " 1.000000\n", " 1.000000\n", " ...\n", + " 0.989372\n", " 1.055765\n", " 1.000000\n", " 1.169136\n", @@ -5403,7 +5346,6 @@ " NaN\n", " NaN\n", " NaN\n", - " Europe\n", " \n", " \n", " ...\n", @@ -5442,6 +5384,7 @@ " 1.257169\n", " 1.272562\n", " ...\n", + " 1.768798\n", " 8.610987\n", " 1.273684\n", " 31.129362\n", @@ -5451,7 +5394,6 @@ " 14.137706\n", " 5.418606\n", " 2.393592\n", - " Pair\n", " \n", " \n", " 252\n", @@ -5466,6 +5408,7 @@ " 1.257169\n", " 1.272562\n", " ...\n", + " 1.798278\n", " 8.610987\n", " 1.273684\n", " 34.114284\n", @@ -5475,7 +5418,6 @@ " 16.868589\n", " 6.334809\n", " 2.664772\n", - " Pair\n", " \n", " \n", " 253\n", @@ -5490,6 +5432,7 @@ " 1.257169\n", " 1.272562\n", " ...\n", + " 1.833057\n", " 8.610987\n", " 1.273684\n", " 38.504955\n", @@ -5499,7 +5442,6 @@ " 20.926519\n", " 7.626636\n", " 2.851657\n", - " Pair\n", " \n", " \n", " 254\n", @@ -5514,6 +5456,7 @@ " 1.257169\n", " 1.272562\n", " ...\n", + " 1.833057\n", " 8.610987\n", " 1.273684\n", " 39.572189\n", @@ -5523,7 +5466,6 @@ " 23.644292\n", " 9.838617\n", " 3.031657\n", - " Pair\n", " \n", " \n", " 255\n", @@ -5538,6 +5480,7 @@ " 1.257169\n", " 1.272562\n", " ...\n", + " 1.833057\n", " 8.610987\n", " 1.273684\n", " 40.799246\n", @@ -5547,11 +5490,10 @@ " 26.521259\n", " 12.731623\n", " 3.356853\n", - " Pair\n", " \n", " \n", "\n", - "

1536 rows × 1068 columns

\n", + "

1536 rows × 1067 columns

\n", "" ], "text/plain": [ @@ -5685,6 +5627,19 @@ "254 ... \n", "255 ... \n", "\n", + "Indicator Wage and salaried workers, total (% of total employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 0.996015 \n", + "355 0.992693 \n", + "356 0.989372 \n", + ".. ... \n", + "251 1.768798 \n", + "252 1.798278 \n", + "253 1.833057 \n", + "254 1.833057 \n", + "255 1.833057 \n", + "\n", "Indicator Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) \\\n", "352 1.000000 \n", "353 1.000000 \n", @@ -5737,86 +5692,100 @@ "254 30.653486 23.644292 9.838617 \n", "255 31.129362 26.521259 12.731623 \n", "\n", - "Indicator GDP (current US$)+21 Continent \n", - "352 NaN Europe \n", - "353 NaN Europe \n", - "354 NaN Europe \n", - "355 NaN Europe \n", - "356 NaN Europe \n", - ".. ... ... \n", - "251 2.393592 Pair \n", - "252 2.664772 Pair \n", - "253 2.851657 Pair \n", - "254 3.031657 Pair \n", - "255 3.356853 Pair \n", + "Indicator GDP (current US$)+21 \n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 2.393592 \n", + "252 2.664772 \n", + "253 2.851657 \n", + "254 3.031657 \n", + "255 3.356853 \n", "\n", - "[1536 rows x 1068 columns]" + "[1536 rows x 1067 columns]" ] }, - "execution_count": 39, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data['Continent']=data['Country'].map(all_countries)\n", - "Goldendataframe=data\n", - "Goldendataframe" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With that all, we export our dataframe all-in-one and by the continent category." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Goldendataframe.to_csv(os.getcwd()+'/WDI/GoldenDataFrame.csv')" + "shifted=pd.DataFrame()\n", + "for i in range(0,len(country_list)):\n", + " dat=datau.loc[datau.loc[:, 'Country'] == country_list[i]]\n", + " dat['GDP (current US$)+1']=dat['GDP (current US$)'].shift(periods=1)\n", + " dat['GDP (current US$)+2']=dat['GDP (current US$)'].shift(periods=2)\n", + " dat['GDP (current US$)+3']=dat['GDP (current US$)'].shift(periods=3)\n", + " dat['GDP (current US$)+5']=dat['GDP (current US$)'].shift(periods=5)\n", + " dat['GDP (current US$)+8']=dat['GDP (current US$)'].shift(periods=8)\n", + " dat['GDP (current US$)+13']=dat['GDP (current US$)'].shift(periods=13)\n", + " dat['GDP (current US$)+21']=dat['GDP (current US$)'].shift(periods=21)\n", + " shifted=pd.concat((shifted, dat), axis = 0)\n", + "shifted" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ - "for region, data in Goldendataframe.groupby('Continent'):\n", - " data.to_csv(os.getcwd()+'/WDI/{}.csv'.format(region))" + "data=shifted" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### CATEGORISATION OF VARIABLES FOR A DEEPER STUDY" + "For the next part of analyzing this data, we think it is gonna be interesting to have it classify by the categories of the Country groups defined before, to which we call \"Continent\". This category is useful as it groups the nations with similar economies or geographical proximity, so we can extract common conclusions from them." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "First of all, for having better treatment, al variables of a dataframe have been pivoting in a same column." + "We create a dictionary with the regions and the countries included in each one. Where we will relate the countries and regions so then we can apply the .map function and arrive to the final dataframe." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 37, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'DEU': 'Europe', 'FRA': 'Europe', 'SWE': 'Europe', 'GBR': 'Europe', 'ESP': 'Europe', 'HRV': 'Europe', 'POL': 'Europe', 'GRC': 'Europe', 'AUT': 'Europe', 'NLD': 'Europe', 'IRQ': 'Persian Gulf', 'QAT': 'Persian Gulf', 'ARE': 'Persian Gulf', 'SAU': 'Persian Gulf', 'AZE': 'Persian Gulf', 'YEM': 'Persian Gulf', 'YDR': 'Persian Gulf', 'OMN': 'Persian Gulf', 'DZA': 'North Africa', 'EGY': 'North Africa', 'LBY': 'North Africa', 'ISR': 'North Africa', 'TUR': 'North Africa', 'MAR': 'North Africa', 'SEN': 'South Africa', 'ZAF': 'South Africa', 'LBR': 'South Africa', 'MOZ': 'South Africa', 'CMR': 'South Africa', 'NGA': 'South Africa', 'GHA': 'South Africa', 'BGD': 'Asia', 'IND': 'Asia', 'VNM': 'Asia', 'THA': 'Asia', 'IDN': 'Asia', 'PHL': 'Asia', 'KOR': 'Asia', 'MEX': 'Latam', 'BRA': 'Latam', 'ARG': 'Latam', 'PER': 'Latam', 'VEN': 'Latam', 'COL': 'Latam', 'CHL': 'Latam', 'PAN': 'Latam', 'CRI': 'Latam', 'USA': 'Pair', 'CHN': 'Pair'}\n" + ] + } + ], "source": [ - "columns_golden=list(Goldendataframe.columns)\n", - "del columns_golden[0:2]" + "countries_by_region = {\n", + " \"Europe\": ('DEU','FRA','SWE','GBR','ESP','HRV','POL','GRC','AUT','NLD'),\n", + " 'Persian Gulf': ('IRQ','QAT','ARE','SAU','AZE','YEM','YDR','OMN'),\n", + " 'North Africa':('DZA','EGY','LBY','ISR','TUR','MAR'),\n", + " 'South Africa':('SEN','ZAF','LBR','MOZ','CMR','NGA','GHA'),\n", + " 'Asia':('BGD','IND','VNM','THA','IDN','PHL','KOR'),\n", + " 'Latam':('MEX','BRA','ARG','PER','VEN','COL','CHL','PAN','CRI'),\n", + " 'Pair':('USA','CHN')\n", + " }\n", + "\n", + "all_countries = {}\n", + "for region in countries_by_region.keys():\n", + " for country in countries_by_region[region]:\n", + " all_countries[country] = region\n", + "\n", + "print(all_countries)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -5839,60 +5808,150 @@ "\n", " \n", " \n", - " \n", + " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - 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" \n", + " \n", " \n", - " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -5902,127 +5961,410 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - 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IndicatorCountryYearAccess to clean fuels and technologies for cooking (% of population)Access to clean fuels and technologies for cooking, rural (% of rural population)Access to clean fuels and technologies for cooking, urban (% of urban population)Access to electricity (% of population)Access to electricity, rural (% of rural population)Access to electricity, urban (% of urban population)Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)...Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)Women Business and the Law Index Score (scale 1-100)GDP (current US$)+1GDP (current US$)+2GDP (current US$)+3GDP (current US$)+5GDP (current US$)+8GDP (current US$)+13GDP (current US$)+21ContinentIndicator0Short indicator
0352DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...1.0000001.0000001.0000001.0000001.01.0000001.000000...1.0000001.000000NaNNaNNaNNaNNaNNaNNaNEurope
1353DEU1990EuropeAccess to clean fuels and technologies for coo...19911.000000Access to clean fuels and technologies for coo...1.0000001.0000001.0000001.0000001.01.0000001.000000...1.0000001.0000001.000000NaNNaNNaNNaNNaNNaNEurope
2354DEU1990EuropeAccess to clean fuels and technologies for coo...19921.000000Access to clean fuels and technologies for coo...1.0000001.0000001.0000001.0000001.01.0000001.000000...1.0000001.0000001.0549051.000000NaNNaNNaNNaNNaNEurope
3355DEU1990EuropeAccess to electricity (% of population)19931.000000Access to electricity (% of population)1.0000001.0000001.0000001.0000001.01.0000001.000000...1.0278821.0000001.2031421.0549051.000000NaNNaNNaNNaNEurope
4356DEU1990EuropeAccess to electricity, rural (% of rural popul...19941.000000Access to electricity, rural (% of rural popul...1.0000001.0000001.0000001.0000001.01.0000001.000000...1.0557651.0000001.1691361.2031421.054905NaNNaNNaNNaNEurope
.........................................................
1540358251CHN202120171.7428572.3489361.2611561.0306961.0487071.01.2571691.272562...8.6109871.27368431.12936230.65348629.02993823.64429214.1377065.4186062.393592PairGDP (current US$)+338.504955GDP (current US$)+3
1540359252CHN2021PairGDP (current US$)+520181.8000002.5106381.2787131.0306961.0487071.01.2571691.272562...8.6109871.27368434.11428431.129362GDP (current US$)+530.65348626.52125916.8685896.3348092.664772Pair
1540360253CHN202120191.8476192.6340431.2933431.0306961.0487071.01.2571691.272562...8.6109871.27368438.50495534.11428431.12936229.02993820.9265197.6266362.851657PairGDP (current US$)+826.521259GDP (current US$)+8
1540361254CHN202120201.8904762.7744681.3079741.0306961.0487071.01.2571691.272562...8.6109871.27368439.57218938.50495534.11428430.65348623.6442929.8386173.031657PairGDP (current US$)+1312.731623GDP (current US$)+13
1540362255CHN2021PairGDP (current US$)+211.8904762.7744681.3079741.0306961.0487071.01.2571691.272562...8.6109871.27368440.79924639.57218938.50495531.12936226.52125912.7316233.356853GDP (current US$)+21Pair
\n", - "

1540363 rows × 6 columns

\n", + "

1536 rows × 1068 columns

\n", "" ], "text/plain": [ - " Country Year Continent \\\n", - "0 DEU 1990 Europe \n", - "1 DEU 1990 Europe \n", - "2 DEU 1990 Europe \n", - "3 DEU 1990 Europe \n", - "4 DEU 1990 Europe \n", - "... ... ... ... \n", - "1540358 CHN 2021 Pair \n", - "1540359 CHN 2021 Pair \n", - "1540360 CHN 2021 Pair \n", - "1540361 CHN 2021 Pair \n", - "1540362 CHN 2021 Pair \n", + "Indicator Country Year \\\n", + "352 DEU 1990 \n", + "353 DEU 1991 \n", + "354 DEU 1992 \n", + "355 DEU 1993 \n", + "356 DEU 1994 \n", + ".. ... ... \n", + "251 CHN 2017 \n", + "252 CHN 2018 \n", + "253 CHN 2019 \n", + "254 CHN 2020 \n", + "255 CHN 2021 \n", "\n", - " Indicator 0 \\\n", - "0 Access to clean fuels and technologies for coo... 1.000000 \n", - "1 Access to clean fuels and technologies for coo... 1.000000 \n", - "2 Access to clean fuels and technologies for coo... 1.000000 \n", - "3 Access to electricity (% of population) 1.000000 \n", - "4 Access to electricity, rural (% of rural popul... 1.000000 \n", - "... ... ... \n", - "1540358 GDP (current US$)+3 38.504955 \n", - "1540359 GDP (current US$)+5 31.129362 \n", - "1540360 GDP (current US$)+8 26.521259 \n", - "1540361 GDP (current US$)+13 12.731623 \n", - "1540362 GDP (current US$)+21 3.356853 \n", + "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.742857 \n", + "252 1.800000 \n", + "253 1.847619 \n", + "254 1.890476 \n", + "255 1.890476 \n", "\n", - " Short indicator \n", - "0 Access to clean fuels and technologies for coo... \n", - "1 Access to clean fuels and technologies for coo... \n", - "2 Access to clean fuels and technologies for coo... \n", - "3 Access to electricity (% of population) \n", - "4 Access to electricity, rural (% of rural popul... \n", - "... ... \n", - "1540358 GDP (current US$)+3 \n", - "1540359 GDP (current US$)+5 \n", - "1540360 GDP (current US$)+8 \n", - "1540361 GDP (current US$)+13 \n", - "1540362 GDP (current US$)+21 \n", + "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 2.348936 \n", + "252 2.510638 \n", + "253 2.634043 \n", + "254 2.774468 \n", + "255 2.774468 \n", "\n", - "[1540363 rows x 6 columns]" + "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.261156 \n", + "252 1.278713 \n", + "253 1.293343 \n", + "254 1.307974 \n", + "255 1.307974 \n", + "\n", + "Indicator Access to electricity (% of population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.030696 \n", + "252 1.030696 \n", + "253 1.030696 \n", + "254 1.030696 \n", + "255 1.030696 \n", + "\n", + "Indicator Access to electricity, rural (% of rural population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.048707 \n", + "252 1.048707 \n", + "253 1.048707 \n", + "254 1.048707 \n", + "255 1.048707 \n", + "\n", + "Indicator Access to electricity, urban (% of urban population) \\\n", + "352 1.0 \n", + "353 1.0 \n", + "354 1.0 \n", + "355 1.0 \n", + "356 1.0 \n", + ".. ... \n", + "251 1.0 \n", + "252 1.0 \n", + "253 1.0 \n", + "254 1.0 \n", + "255 1.0 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.257169 \n", + "252 1.257169 \n", + "253 1.257169 \n", + "254 1.257169 \n", + "255 1.257169 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.272562 \n", + "252 1.272562 \n", + "253 1.272562 \n", + "254 1.272562 \n", + "255 1.272562 \n", + "\n", + "Indicator ... \\\n", + "352 ... \n", + "353 ... \n", + "354 ... \n", + "355 ... \n", + "356 ... \n", + ".. ... \n", + "251 ... \n", + "252 ... \n", + "253 ... \n", + "254 ... \n", + "255 ... \n", + "\n", + "Indicator Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.027882 \n", + "356 1.055765 \n", + ".. ... \n", + "251 8.610987 \n", + "252 8.610987 \n", + "253 8.610987 \n", + "254 8.610987 \n", + "255 8.610987 \n", + "\n", + "Indicator Women Business and the Law Index Score (scale 1-100) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.273684 \n", + "252 1.273684 \n", + "253 1.273684 \n", + "254 1.273684 \n", + "255 1.273684 \n", + "\n", + "Indicator GDP (current US$)+1 GDP (current US$)+2 GDP (current US$)+3 \\\n", + "352 NaN NaN NaN \n", + "353 1.000000 NaN NaN \n", + "354 1.054905 1.000000 NaN \n", + "355 1.203142 1.054905 1.000000 \n", + "356 1.169136 1.203142 1.054905 \n", + ".. ... ... ... \n", + "251 31.129362 30.653486 29.029938 \n", + "252 34.114284 31.129362 30.653486 \n", + "253 38.504955 34.114284 31.129362 \n", + "254 39.572189 38.504955 34.114284 \n", + "255 40.799246 39.572189 38.504955 \n", + "\n", + "Indicator GDP (current US$)+5 GDP (current US$)+8 GDP (current US$)+13 \\\n", + "352 NaN NaN NaN \n", + "353 NaN NaN NaN \n", + "354 NaN NaN NaN \n", + "355 NaN NaN NaN \n", + "356 NaN NaN NaN \n", + ".. ... ... ... \n", + "251 23.644292 14.137706 5.418606 \n", + "252 26.521259 16.868589 6.334809 \n", + "253 29.029938 20.926519 7.626636 \n", + "254 30.653486 23.644292 9.838617 \n", + "255 31.129362 26.521259 12.731623 \n", + "\n", + "Indicator GDP (current US$)+21 Continent \n", + "352 NaN Europe \n", + "353 NaN Europe \n", + "354 NaN Europe \n", + "355 NaN Europe \n", + "356 NaN Europe \n", + ".. ... ... \n", + "251 2.393592 Pair \n", + "252 2.664772 Pair \n", + "253 2.851657 Pair \n", + "254 3.031657 Pair \n", + "255 3.356853 Pair \n", + "\n", + "[1536 rows x 1068 columns]" ] }, - "execution_count": 43, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Categorization=Goldendataframe.set_index(['Country','Year', 'Continent']).stack().reset_index()\n", - "Categorization['Short indicator']=Categorization['Indicator']\n", - "Categorization" + "data['Continent']=data['Country'].map(all_countries)\n", + "Goldendataframe=data\n", + "Goldendataframe" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "There are some indicators which show same results through different units. In our study we are going to work only with those expressed in US$. \n", - "\n", - "The links used to learn about these functions have been:\n", - "\n", - "https://www.geeksforgeeks.org/how-to-drop-rows-that-contain-a-specific-string-in-pandas/ \n", - "\n", - "https://www.statology.org/pandas-drop-rows-that-contain-string/ " + "With that all, we export our dataframe all-in-one and by the continent category." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "Goldendataframe.to_csv(os.getcwd()+'/Data/GoldenDataFrame.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "for region, data in Goldendataframe.groupby('Continent'):\n", + " data.to_csv(os.getcwd()+'/Data/{}.csv'.format(region))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### CATEGORISATION OF VARIABLES FOR A DEEPER STUDY" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First of all, for having better treatment, al variables of a dataframe have been pivoting in a same column." + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "columns_golden=list(Goldendataframe.columns)\n", + "del columns_golden[0:2]" + ] + }, + { + "cell_type": "code", + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -6156,7 +6498,7 @@ " \n", " \n", "\n", - "

1372098 rows × 6 columns

\n", + "

1540363 rows × 6 columns

\n", "" ], "text/plain": [ @@ -6199,7 +6541,7 @@ "1540361 GDP (current US$)+13 \n", "1540362 GDP (current US$)+21 \n", "\n", - "[1372098 rows x 6 columns]" + "[1540363 rows x 6 columns]" ] }, "execution_count": 44, @@ -6208,38 +6550,27 @@ } ], "source": [ - "import re\n", - "discard=[\"annual % growth\",\"constant 2015 US[$]\",\"% of GNI\",\"constant LCU\",\"current LCU\"]\n", - "Categorization2=Categorization[~Categorization['Short indicator'].str.contains('|'.join(discard))]\n", - "Categorization2" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To check previous step." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Categorization2.apply(lambda row: row.astype(str).str.contains('US').any(), axis=1)" + "Categorization=Goldendataframe.set_index(['Country','Year', 'Continent']).stack().reset_index()\n", + "Categorization['Short indicator']=Categorization['Indicator']\n", + "Categorization" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Now we are going to structure the indicators in a same way to work better. The first step consist of making a new column that shows the units of each variable. Units are showed inside the parenthesis of the indicator name." + "There are some indicators which show same results through different units. In our study we are going to work only with those expressed in US$. \n", + "\n", + "The links used to learn about these functions have been:\n", + "\n", + "https://www.geeksforgeeks.org/how-to-drop-rows-that-contain-a-specific-string-in-pandas/ \n", + "\n", + "https://www.statology.org/pandas-drop-rows-that-contain-string/ " ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -6269,7 +6600,6 @@ " Indicator\n", " 0\n", " Short indicator\n", - " Units\n", " \n", " \n", " \n", @@ -6281,7 +6611,6 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " Access to clean fuels and technologies for coo...\n", - " (% of population)\n", " \n", " \n", " 1\n", @@ -6291,7 +6620,6 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " Access to clean fuels and technologies for coo...\n", - " (% of rural population)\n", " \n", " \n", " 2\n", @@ -6301,7 +6629,6 @@ " Access to clean fuels and technologies for coo...\n", " 1.000000\n", " Access to clean fuels and technologies for coo...\n", - " (% of urban population)\n", " \n", " \n", " 3\n", @@ -6311,7 +6638,6 @@ " Access to electricity (% of population)\n", " 1.000000\n", " Access to electricity (% of population)\n", - " (% of population)\n", " \n", " \n", " 4\n", @@ -6321,7 +6647,6 @@ " Access to electricity, rural (% of rural popul...\n", " 1.000000\n", " Access to electricity, rural (% of rural popul...\n", - " (% of rural population)\n", " \n", " \n", " ...\n", @@ -6331,7 +6656,6 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", " 1540358\n", @@ -6341,7 +6665,6 @@ " GDP (current US$)+3\n", " 38.504955\n", " GDP (current US$)+3\n", - " (current US$)\n", " \n", " \n", " 1540359\n", @@ -6351,7 +6674,6 @@ " GDP (current US$)+5\n", " 31.129362\n", " GDP (current US$)+5\n", - " (current US$)\n", " \n", " \n", " 1540360\n", @@ -6361,7 +6683,233 @@ " GDP (current US$)+8\n", " 26.521259\n", " GDP (current US$)+8\n", - " (current US$)\n", + " \n", + " \n", + " 1540361\n", + " CHN\n", + " 2021\n", + " Pair\n", + " GDP (current US$)+13\n", + " 12.731623\n", + " GDP (current US$)+13\n", + " \n", + " \n", + " 1540362\n", + " CHN\n", + " 2021\n", + " Pair\n", + " GDP (current US$)+21\n", + " 3.356853\n", + " GDP (current US$)+21\n", + " \n", + " \n", + "\n", + "

1372098 rows × 6 columns

\n", + "" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity (% of population) \n", + "4 Access to electricity, rural (% of rural popul... \n", + "... ... \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", + "\n", + "[1372098 rows x 6 columns]" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import re\n", + "discard=[\"annual % growth\",\"constant 2015 US[$]\",\"% of GNI\",\"constant LCU\",\"current LCU\"]\n", + "Categorization2=Categorization[~Categorization['Short indicator'].str.contains('|'.join(discard))]\n", + "Categorization2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To check previous step." + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "#Categorization2.apply(lambda row: row.astype(str).str.contains('US').any(), axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we are going to structure the indicators in a same way to work better. The first step consist of making a new column that shows the units of each variable. Units are showed inside the parenthesis of the indicator name." + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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"execution_count": 46, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -6463,7 +7011,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -6668,7 +7216,7 @@ "[1372098 rows x 7 columns]" ] }, - "execution_count": 47, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -6688,7 +7236,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -6893,7 +7441,7 @@ "[4545 rows x 7 columns]" ] }, - "execution_count": 48, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -6912,7 +7460,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -7129,7 +7677,7 @@ "[1372098 rows x 8 columns]" ] }, - "execution_count": 49, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -7148,7 +7696,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -7377,7 +7925,7 @@ "[1372098 rows x 9 columns]" ] }, - "execution_count": 50, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -7396,7 +7944,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -7625,7 +8173,7 @@ "[1372098 rows x 9 columns]" ] }, - "execution_count": 51, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -7644,7 +8192,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 53, "metadata": {}, "outputs": [], "source": [ @@ -7661,7 +8209,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -7890,7 +8438,7 @@ "[1157276 rows x 9 columns]" ] }, - "execution_count": 53, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -7908,7 +8456,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -8137,7 +8685,7 @@ "[1372098 rows x 9 columns]" ] }, - "execution_count": 54, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -8164,7 +8712,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -8393,7 +8941,7 @@ "[687830 rows x 9 columns]" ] }, - "execution_count": 55, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -8405,7 +8953,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 57, "metadata": {}, "outputs": [], "source": [ @@ -8414,7 +8962,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 58, "metadata": {}, "outputs": [], "source": [ @@ -8432,7 +8980,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 59, "metadata": {}, "outputs": [], "source": [ @@ -8457,7 +9005,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -8477,13 +9025,13 @@ "Name: GDP (current US$), Length: 1536, dtype: float64" ] }, - "execution_count": 59, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df= pd.read_csv (os.getcwd()+'/WDI/'+'GoldenDataFrame.csv')\n", + "df= pd.read_csv (os.getcwd()+'/Data/'+'GoldenDataFrame.csv')\n", "df_study=df[[c for c in df.columns if c in columns]]\n", "df_study['GDP (current US$)']\n" ] @@ -8497,7 +9045,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 62, "metadata": {}, "outputs": [], "source": [ @@ -8506,7 +9054,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 63, "metadata": {}, "outputs": [], "source": [ @@ -8544,7 +9092,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 64, "metadata": {}, "outputs": [], "source": [ @@ -8566,7 +9114,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 65, "metadata": {}, "outputs": [], "source": [ @@ -8584,7 +9132,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ @@ -8604,7 +9152,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 67, "metadata": {}, "outputs": [], "source": [ @@ -8624,7 +9172,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 68, "metadata": {}, "outputs": [], "source": [ @@ -8646,7 +9194,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ @@ -8668,7 +9216,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 70, "metadata": {}, "outputs": [], "source": [ @@ -8695,7 +9243,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 71, "metadata": {}, "outputs": [], "source": [ @@ -8713,62 +9261,9 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 72, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - 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"execution_count": null, + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -9189,1930 +9683,4232 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 75, + "metadata": {}, + "outputs": [], + "source": [ + "#To get list of all number of times repeated.\n", + "#from IPython.display import HTML\n", + "\n", + "#HTML(df_indicators.to_html(index=False))" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "df= pd.read_csv (os.getcwd()+'/Data/'+'GoldenDataFrame.csv')\n", + "df_study=df[[c for c in df.columns if c in columns]]" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "moveddf=pd.DataFrame()\n", + "dat=df_study.loc[df_study.loc[:, 'Country'] == clist[0]]\n", + "clmns=dat.columns.values.tolist()\n", + "dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", + "tempdiffs=['GDP (current US$)+1','GDP (current US$)+2','GDP (current US$)+3','GDP (current US$)+5','GDP (current US$)+8','GDP (current US$)+13','GDP (current US$)+21']\n", + "cors=dat.corr('spearman')\n", + "for f in range(0, len(tempdiffs)):\n", + " cors.loc[:,'R^2 Spearman'] = cors[tempdiffs[f]]**2\n", + " cors.loc[:,'Indicator']=cors.index\n", + " corscolumn=cors[['Indicator','R^2 Spearman',tempdiffs[f]]]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.75]\n", + " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", + " corscolumn[ids]\n", + " maxs_df=pd.DataFrame(corscolumn[ids])\n", + " maxs_df['Behaviour']=np.where(maxs_df[tempdiffs[f]]>0, 'Positive', 'Negative')\n", + " maxs_df['Country']= clist[0]\n", + " maxs_df[['Variable','Moved']]=tempdiffs[f].split('+')\n", + " maxs_df.drop(tempdiffs[f],axis=1,inplace=True)\n", + " maxs_df.drop(columns='Variable',inplace=True)\n", + " maxs_df=maxs_df.reset_index(drop=True)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='GDP (current US$)'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator'].isin(tempdiffs)].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", + " maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)\n", + " moveddf=pd.concat((moveddf,maxs_df),axis=0)\n", + "ids=moveddf.groupby('Indicator')['R^2 Spearman'].transform(max)==moveddf['R^2 Spearman']\n", + "moveddf[ids]\n", + "moveddf=pd.DataFrame(moveddf[ids])\n", + "temporaldf=moveddf" + ] + }, + { + "cell_type": "code", + "execution_count": 78, "metadata": {}, "outputs": [ { "data": { "text/html": [ + "
\n", + "\n", "
CountryYearContinentIndicator0Short indicatorUnits
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of population)
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of rural population)
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of urban population)
3DEU1990EuropeAccess to electricity (% of population)1.000000Access to electricity (% of population)(% of population)
4DEU1990EuropeAccess to electricity, rural (% of rural popul...1.000000Access to electricity, rural (% of rural popul...(% of rural population)
........................
1540358CHN2021PairGDP (current US$)+338.504955GDP (current US$)+3(current US$)
1540359CHN2021PairGDP (current US$)+531.129362GDP (current US$)+5(current US$)
1540360CHN2021PairGDP (current US$)+826.521259GDP (current US$)+8(current US$)
1540361
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IndicatorNumber of times repeatedR^2 SpearmanBehaviourCountryMoved
GDP per capita (current US$)46
Industry (including construction), value added (current US$)46
GNI (current US$)464Adjusted savings: education expenditure (curre...0.824514PositiveDEU1
Households and NPISHs Final consumption expenditure (current US$)4535General government final consumption expenditu...0.822917PositiveDEU1
Final consumption expenditure (current US$)4545Individuals using the Internet (% of population)0.822917PositiveDEU1
General government final consumption expenditure (current US$)4578Surface area (sq. km)0.821642PositiveDEU1
Gross national expenditure (current US$)455Adolescent fertility rate (births per 1,000 wo...0.817804NegativeDEU1
Adjusted net national income (current US$)45..................
Adjusted savings: consumption of fixed capital (current US$)45167Pump price for diesel fuel (US$ per liter)0.787248NegativeCHN21
Adjusted net national income per capita (current US$)44168Pump price for gasoline (US$ per liter)0.787248NegativeCHN21
Merchandise imports by the reporting economy (current US$)4430Chemicals (% of value added in manufacturing)0.781385NegativeCHN21
Imports of goods and services (current US$)44162Proportion of population pushed below the $1.9...0.769754PositiveCHN21
Current health expenditure per capita (current US$)4338Depth of credit information index (0=low to 8=...0.750000PositiveCHN21
Gross capital formation (current US$)43
\n", + "

9700 rows × 5 columns

\n", + "
" + ], + "text/plain": [ + " Indicator R^2 Spearman \\\n", + "4 Adjusted savings: education expenditure (curre... 0.824514 \n", + "35 General government final consumption expenditu... 0.822917 \n", + "45 Individuals using the Internet (% of population) 0.822917 \n", + "78 Surface area (sq. km) 0.821642 \n", + "5 Adolescent fertility rate (births per 1,000 wo... 0.817804 \n", + ".. ... ... \n", + "167 Pump price for diesel fuel (US$ per liter) 0.787248 \n", + "168 Pump price for gasoline (US$ per liter) 0.787248 \n", + "30 Chemicals (% of value added in manufacturing) 0.781385 \n", + "162 Proportion of population pushed below the $1.9... 0.769754 \n", + "38 Depth of credit information index (0=low to 8=... 0.750000 \n", + "\n", + " Behaviour Country Moved \n", + "4 Positive DEU 1 \n", + "35 Positive DEU 1 \n", + "45 Positive DEU 1 \n", + "78 Positive DEU 1 \n", + "5 Negative DEU 1 \n", + ".. ... ... ... \n", + "167 Negative CHN 21 \n", + "168 Negative CHN 21 \n", + "30 Negative CHN 21 \n", + "162 Positive CHN 21 \n", + "38 Positive CHN 21 \n", + "\n", + "[9700 rows x 5 columns]" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "for i in range(1,len(clist)):\n", + " dat=df_study.loc[df_study.loc[:, 'Country'] == clist[i]]\n", + " clmns=dat.columns.values.tolist()\n", + " dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", + " tempdiffs=['GDP (current US$)+1','GDP (current US$)+2','GDP (current US$)+3','GDP (current US$)+5','GDP (current US$)+8','GDP (current US$)+13','GDP (current US$)+21']\n", + " cors=dat.corr('spearman')\n", + " moveddf=pd.DataFrame()\n", + " for f in range(0, len(tempdiffs)):\n", + " cors.loc[:,'R^2 Spearman'] = cors[tempdiffs[f]]**2\n", + " cors.loc[:,'Indicator']=cors.index\n", + " corscolumn=cors[['Indicator','R^2 Spearman',tempdiffs[f]]]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.75]\n", + " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", + " corscolumn[ids]\n", + " maxs_df=pd.DataFrame(corscolumn[ids])\n", + " maxs_df['Behaviour']=np.where(maxs_df[tempdiffs[f]]>0, 'Positive', 'Negative')\n", + " maxs_df['Country']= clist[i]\n", + " maxs_df[['Variable','Moved']]=tempdiffs[f].split('+')\n", + " maxs_df.drop(tempdiffs[f],axis=1,inplace=True)\n", + " maxs_df.drop(columns='Variable',inplace=True)\n", + " maxs_df=maxs_df.reset_index(drop=True)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator'].isin(tempdiffs)].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", + " maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)\n", + " moveddf=pd.concat((moveddf,maxs_df),axis=0)\n", + " ids=moveddf.groupby('Indicator')['R^2 Spearman'].transform(max)==moveddf['R^2 Spearman']\n", + " moveddf[ids]\n", + " moveddf=pd.DataFrame(moveddf[ids])\n", + " temporaldf=pd.concat((temporaldf,moveddf),axis=0)\n", + "temporaldf" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorR^2 SpearmanBehaviourCountryMovedType
Adjusted savings: education expenditure (current US$)434Adjusted savings: education expenditure (curre...0.824514PositiveDEU1Does not apply
Merchandise imports (current US$)4335General government final consumption expenditu...0.822917PositiveDEU1Does not apply
Import value index (2000 = 100)4345Individuals using the Internet (% of population)0.822917PositiveDEU1Does not apply
Imports of goods and services (BoP, current US$)4278Surface area (sq. km)0.821642PositiveDEU1Does not apply
Gross fixed capital formation (current US$)415Adolescent fertility rate (births per 1,000 wo...0.817804NegativeDEU1Does not apply
Goods imports (BoP, current US$)41.....................
Gross domestic savings (current US$)40
Exports of goods and services (current US$)39
Gross value added at basic prices (GVA) (current US$)39
Gross savings (current US$)38
Service imports (BoP, current US$)37
Commercial service imports (current US$)375948Prevalence of anemia among women of reproducti...0.793298NegativeCHNDoes not applyLogarithmic
Domestic general government health expenditure per capita (current US$)365949Logistics performance index: Ability to track ...0.788049PositiveCHNDoes not applyLogarithmic
Domestic private health expenditure per capita (current US$)365950Logistics performance index: Competence and qu...0.788049PositiveCHNDoes not applyLogarithmic
Merchandise exports by the reporting economy (current US$)365951Out-of-pocket expenditure (% of current health...0.782573NegativeCHNDoes not applyLogarithmic
Adjusted savings: carbon dioxide damage (current US$)365952Domestic general government health expenditure...0.758910PositiveCHNDoes not applyCubic
Merchandise exports (current US$)35
\n", + "

15653 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " Indicator R^2 Spearman \\\n", + "4 Adjusted savings: education expenditure (curre... 0.824514 \n", + "35 General government final consumption expenditu... 0.822917 \n", + "45 Individuals using the Internet (% of population) 0.822917 \n", + "78 Surface area (sq. km) 0.821642 \n", + "5 Adolescent fertility rate (births per 1,000 wo... 0.817804 \n", + "... ... ... \n", + "5948 Prevalence of anemia among women of reproducti... 0.793298 \n", + "5949 Logistics performance index: Ability to track ... 0.788049 \n", + "5950 Logistics performance index: Competence and qu... 0.788049 \n", + "5951 Out-of-pocket expenditure (% of current health... 0.782573 \n", + "5952 Domestic general government health expenditure... 0.758910 \n", + "\n", + " Behaviour Country Moved Type \n", + "4 Positive DEU 1 Does not apply \n", + "35 Positive DEU 1 Does not apply \n", + "45 Positive DEU 1 Does not apply \n", + "78 Positive DEU 1 Does not apply \n", + "5 Negative DEU 1 Does not apply \n", + "... ... ... ... ... \n", + "5948 Negative CHN Does not apply Logarithmic \n", + "5949 Positive CHN Does not apply Logarithmic \n", + "5950 Positive CHN Does not apply Logarithmic \n", + "5951 Negative CHN Does not apply Logarithmic \n", + "5952 Positive CHN Does not apply Cubic \n", + "\n", + "[15653 rows x 6 columns]" + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "alist=['Indicator','R^2 Spearman','Behaviour','Country','Type']\n", + "forcomparassion=corrtable[alist]\n", + "\n", + "quarterfinal=pd.concat((temporaldf,forcomparassion),axis=0)\n", + "quarterfinal.fillna('Does not apply',inplace=True)\n", + "quarterfinal" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorNumber of times repeatedTypeLevel
Exports of goods and services (BoP, current US$)350GDP per capita (current US$)46PrincipalNaN
Export value index (2000 = 100)351Industry (including construction), value added...46Economyprimary
GDP deflator (base year varies by country)352GNI (current US$)46Economyprimary
GDP deflator: linked series (base year varies by country)353Households and NPISHs Final consumption expend...45Economysecondary
Import volume index (2000 = 100)354Final consumption expenditure (current US$)45Economysecondary
Goods exports (BoP, current US$)34...............
Service exports (BoP, current US$)34398Time required to enforce a contract (days)1NaNNaN
Fixed broadband subscriptions (per 100 people)34399Net capital account (BoP, current US$)1NaNNaN
Renewable internal freshwater resources per capita (cubic meters)34400Natural gas rents (% of GDP)1NaNNaN
Commercial service exports (current US$)34401Expenditure on tertiary education (% of govern...1NaNNaN
Fixed broadband subscriptions33402Gross fixed capital formation (% of GDP)1NaNNaN
People using at least basic sanitation services (% of population)33
\n", + "

403 rows × 4 columns

\n", + "
" + ], + "text/plain": [ + " Indicator \\\n", + "0 GDP per capita (current US$) \n", + "1 Industry (including construction), value added... \n", + "2 GNI (current US$) \n", + "3 Households and NPISHs Final consumption expend... \n", + "4 Final consumption expenditure (current US$) \n", + ".. ... \n", + "398 Time required to enforce a contract (days) \n", + "399 Net capital account (BoP, current US$) \n", + "400 Natural gas rents (% of GDP) \n", + "401 Expenditure on tertiary education (% of govern... \n", + "402 Gross fixed capital formation (% of GDP) \n", + "\n", + " Number of times repeated Type Level \n", + "0 46 Principal NaN \n", + "1 46 Economy primary \n", + "2 46 Economy primary \n", + "3 45 Economy secondary \n", + "4 45 Economy secondary \n", + ".. ... ... ... \n", + "398 1 NaN NaN \n", + "399 1 NaN NaN \n", + "400 1 NaN NaN \n", + "401 1 NaN NaN \n", + "402 1 NaN NaN \n", + "\n", + "[403 rows x 4 columns]" + ] + }, + "execution_count": 84, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#To understand better the data, we categorize it (Area label and Primary/Secondary).\n", + "categories= pd.read_excel (os.getcwd()+'/Data/'+'dfindicators - Copy.xlsx')" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorR^2 SpearmanBehaviourCountryMovedTypeContinent
Population density (people per sq3345Individuals using the Internet (% of population)0.822917PositiveDEU1Does not applyEurope
Consumer price index (2010 = 100)335Adolescent fertility rate (births per 1,000 wo...0.817804NegativeDEU1Does not applyEurope
Out-of-pocket expenditure per capita (current US$)3313Commercial bank branches (per 100,000 adults)0.801333NegativeDEU1Does not applyEurope
Taxes less subsidies on products (current US$)3311CO2 emissions (kt)0.794276NegativeDEU1Does not applyEurope
Urban population3282Travel services (% of service exports, BoP)0.792475NegativeDEU1Does not applyEurope
UHC service coverage index32........................
Population in urban agglomerations of more than 1 million325941Prevalence of anemia among children (% of chil...0.833357NegativeCHNDoes not applyLogarithmicPair
Scientific and technical journal articles325942CO2 emissions from solid fuel consumption (kt)0.830258PositiveCHNDoes not applyCuadraticPair
Military expenditure (current USD)315946Manufactures imports (% of merchandise imports)0.804497NegativeCHNDoes not applyLogarithmicPair
Prevalence of current tobacco use (% of adults)315947Total alcohol consumption per capita (liters o...0.804163PositiveCHNDoes not applyCubicPair
Lifetime risk of maternal death (1 in: rate varies by country)305948Prevalence of anemia among women of reproducti...0.793298NegativeCHNDoes not applyLogarithmicPair
Total reserves (includes gold, current US$)30
\n", + "

9489 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " Indicator R^2 Spearman \\\n", + "45 Individuals using the Internet (% of population) 0.822917 \n", + "5 Adolescent fertility rate (births per 1,000 wo... 0.817804 \n", + "13 Commercial bank branches (per 100,000 adults) 0.801333 \n", + "11 CO2 emissions (kt) 0.794276 \n", + "82 Travel services (% of service exports, BoP) 0.792475 \n", + "... ... ... \n", + "5941 Prevalence of anemia among children (% of chil... 0.833357 \n", + "5942 CO2 emissions from solid fuel consumption (kt) 0.830258 \n", + "5946 Manufactures imports (% of merchandise imports) 0.804497 \n", + "5947 Total alcohol consumption per capita (liters o... 0.804163 \n", + "5948 Prevalence of anemia among women of reproducti... 0.793298 \n", + "\n", + " Behaviour Country Moved Type Continent \n", + "45 Positive DEU 1 Does not apply Europe \n", + "5 Negative DEU 1 Does not apply Europe \n", + "13 Negative DEU 1 Does not apply Europe \n", + "11 Negative DEU 1 Does not apply Europe \n", + "82 Negative DEU 1 Does not apply Europe \n", + "... ... ... ... ... ... \n", + "5941 Negative CHN Does not apply Logarithmic Pair \n", + "5942 Positive CHN Does not apply Cuadratic Pair \n", + "5946 Negative CHN Does not apply Logarithmic Pair \n", + "5947 Positive CHN Does not apply Cubic Pair \n", + "5948 Negative CHN Does not apply Logarithmic Pair \n", + "\n", + "[9489 rows x 7 columns]" + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "final=pd.DataFrame()\n", + "for i in range(0,len(clist)):\n", + " dat=quarterfinal.loc[quarterfinal.loc[:, 'Country'] == clist[i]]\n", + " ids=dat.groupby('Indicator')['R^2 Spearman'].transform(max)==dat['R^2 Spearman']\n", + " dat[ids]\n", + " semifinal=pd.DataFrame(dat[ids])\n", + " final=pd.concat((final,semifinal), axis=0)\n", + "final_indicators_list=categories.Indicator.unique()\n", + "final['Continent']=final['Country'].map(all_countries)\n", + "final=final.loc[final.loc[:, 'Indicator'].isin(np.array(final_indicators_list))]\n", + "final" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorNumber of times repeated
Total greenhouse gas emissions (kt of CO2 equivalent)30293Population in urban agglomerations of more tha...61
Number of deaths ages 5-9 years30291Population in largest city60
Lifetime risk of maternal death (%)30294Population in urban agglomerations of more tha...49
Employment in services (% of total employment) (modeled ILO estimate)30132GNI (current US$)46
Population in largest city30127GDP per capita (current US$)46
Total reserves minus gold (current US$)30.........
Probability of dying among children ages 5-9 years (per 1,000)3030Arms imports (SIPRI trend indicator values)3
CO2 emissions (kt)30244Natural gas rents (% of GDP)3
Employment in agriculture (% of total employment) (modeled ILO estimate)2986Electricity production from nuclear sources (%...2
GDP per unit of energy use (PPP $ per kg of oil equivalent)29359Surface area (sq2
Maternal mortality ratio (modeled estimate, per 100,000 live births)29188Land area (sq1
Gross national expenditure deflator (base year varies by country)29
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403 rows × 2 columns

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" + ], + "text/plain": [ + " Indicator \\\n", + "293 Population in urban agglomerations of more tha... \n", + "291 Population in largest city \n", + "294 Population in urban agglomerations of more tha... \n", + "132 GNI (current US$) \n", + "127 GDP per capita (current US$) \n", + ".. ... \n", + "30 Arms imports (SIPRI trend indicator values) \n", + "244 Natural gas rents (% of GDP) \n", + "86 Electricity production from nuclear sources (%... \n", + "359 Surface area (sq \n", + "188 Land area (sq \n", + "\n", + " Number of times repeated \n", + "293 61 \n", + "291 60 \n", + "294 49 \n", + "132 46 \n", + "127 46 \n", + ".. ... \n", + "30 3 \n", + "244 3 \n", + "86 2 \n", + "359 2 \n", + "188 1 \n", + "\n", + "[403 rows x 2 columns]" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "columnssf=final.Indicator.to_list()\n", + "columnsf=np.unique(columnssf)\n", + "powerind=[]\n", + "for i in range(0, len(columnsf)):\n", + " powerind.append(columnssf.count(columnsf[i]))\n", + "\n", + "final_indicators = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Indicator','Number of times repeated'])\n", + "final_indicators=final_indicators.sort_values(by = 'Number of times repeated',ascending = False)\n", + "final_indicators" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Time movedNumber of times repeated
People using at least basic drinking water services (% of population)287Does not apply3229
GDP per person employed (constant 2017 PPP $)28681278
Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)28551120
Electric power consumption (kWh per capita)28113982
People practicing open defecation (% of population)27321957
Container port traffic (TEU: 20 foot equivalent units)2701793
Livestock production index (2014-2016 = 100)2722589
Urban population (% of total population)2743541
Probability of dying among adolescents ages 15-19 years (per 1,000)27
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" + ], + "text/plain": [ + " Time moved Number of times repeated\n", + "7 Does not apply 3229\n", + "6 8 1278\n", + "5 5 1120\n", + "1 13 982\n", + "3 21 957\n", + "0 1 793\n", + "2 2 589\n", + "4 3 541" + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "columnssf=final.Moved.to_list()\n", + "columnsf=np.unique(columnssf)\n", + "powerind=[]\n", + "for i in range(0, len(columnsf)):\n", + " powerind.append(columnssf.count(columnsf[i]))\n", + "\n", + "final_moved = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Time moved','Number of times repeated'])\n", + "final_moved=final_moved.sort_values(by = 'Number of times repeated',ascending = False)\n", + "final_moved" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "VISUALIZATION OF DATA" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorR^2 SpearmanBehaviourCountryMovedTypeContinentNumber of times repeatedGroupLevel
Probability of dying among youth ages 20-24 years (per 1,000)260Individuals using the Internet (% of population)0.822917PositiveDEU1Does not applyEurope8NaNNaN
Primary income payments (BoP, current US$)261Individuals using the Internet (% of population)0.760791PositiveFRA5Does not applyEurope8NaNNaN
Rural population (% of total population)262Individuals using the Internet (% of population)0.768616PositiveSWEDoes not applyCubicEurope8NaNNaN
Probability of dying among adolescents ages 10-14 years (per 1,000)253Individuals using the Internet (% of population)0.934571PositiveGBR8Does not applyEurope8NaNNaN
Women Business and the Law Index Score (scale 1-100)25
Export volume index (2000 = 100)24
Population ages 0-14 (% of total population)24
Number of under-five deaths24
Low-birthweight babies (% of births)24
Food production index (2014-2016 = 100)24
Prevalence of anemia among pregnant women (%)24
Forest area (% of land area)24
Forest area (sq24
Adjusted savings: particulate emission damage (current US$)24
Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)23
People using safely managed sanitation services (% of population)23
Number of infant deaths23
CO2 emissions (kg per PPP $ of GDP)23
Prevalence of anemia among women of reproductive age (% of women ages 15-49)22
Number of maternal deaths22
Methane emissions (kt of CO2 equivalent)22
Net secondary income (Net current transfers from abroad) (current US$)22
Mobile cellular subscriptions22
Total greenhouse gas emissions (% change from 1990)22
Population ages 65 and above (% of total population)22
Adolescent fertility rate (births per 1,000 women ages 15-19)22
Incidence of tuberculosis (per 100,000 people)21
Prevalence of anemia among non-pregnant women (% of women ages 15-49)21
ICT service exports (BoP, current US$)21
Automated teller machines (ATMs) (per 100,000 adults)214Individuals using the Internet (% of population)0.801763PositiveESP8Does not applyEurope8NaNNaN
Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)21.................................
Methane emissions in energy sector (thousand metric tons of CO2 equivalent)219484Tuberculosis case detection rate (%, all forms)0.858062PositivePHLDoes not applyLogarithmicAsia8NaNNaN
Crop production index (2014-2016 = 100)219485Natural gas rents (% of GDP)0.888673NegativeGHADoes not applyLogarithmicSouth Africa1NaNNaN
Secondary income receipts (BoP, current US$)9486Natural gas rents (% of GDP)0.893013NegativeBGD21Does not applyAsia1NaNNaN
Number of deaths ages 10-14 years9487Natural gas rents (% of GDP)0.792003NegativeIND21Does not applyAsia1NaNNaN
Rural population20
Arable land (hectares per person)20
Mobile cellular subscriptions (per 100 people)20
Ratio of female to male labor force participation rate (%) (modeled ILO estimate)20
Level of water stress: freshwater withdrawal as a proportion of available freshwater resources20
Poverty gap at $520
Methane emissions (% change from 1990)19
Number of neonatal deaths19
Poverty headcount ratio at $319
Population in urban agglomerations of more than 1 million (% of total population)19
Export unit value index (2000 = 100)19
Population ages 15-64 (% of total population)19
Ratio of female to male labor force participation rate (%) (national estimate)18
Poverty headcount ratio at $518
Poverty headcount ratio at $118
Poverty gap at $318
Age dependency ratio (% of working-age population)18
CO2 emissions from gaseous fuel consumption (kt)18
Physicians (per 1,000 people)18
CO2 emissions (metric tons per capita)18
Prevalence of anemia among children (% of children ages 6-59 months)18
Energy intensity level of primary energy (MJ/$2017 PPP GDP)189488Land area (sq0.929636PositiveKORDoes not applykm).^3Asia1NaNNaN
Pregnant women receiving prenatal care (%)18
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9489 rows × 10 columns

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" + ], + "text/plain": [ + " Indicator R^2 Spearman \\\n", + "0 Individuals using the Internet (% of population) 0.822917 \n", + "1 Individuals using the Internet (% of population) 0.760791 \n", + "2 Individuals using the Internet (% of population) 0.768616 \n", + "3 Individuals using the Internet (% of population) 0.934571 \n", + "4 Individuals using the Internet (% of population) 0.801763 \n", + "... ... ... \n", + "9484 Tuberculosis case detection rate (%, all forms) 0.858062 \n", + "9485 Natural gas rents (% of GDP) 0.888673 \n", + "9486 Natural gas rents (% of GDP) 0.893013 \n", + "9487 Natural gas rents (% of GDP) 0.792003 \n", + "9488 Land area (sq 0.929636 \n", + "\n", + " Behaviour Country Moved Type Continent \\\n", + "0 Positive DEU 1 Does not apply Europe \n", + "1 Positive FRA 5 Does not apply Europe \n", + "2 Positive SWE Does not apply Cubic Europe \n", + "3 Positive GBR 8 Does not apply Europe \n", + "4 Positive ESP 8 Does not apply Europe \n", + "... ... ... ... ... ... \n", + "9484 Positive PHL Does not apply Logarithmic Asia \n", + "9485 Negative GHA Does not apply Logarithmic South Africa \n", + "9486 Negative BGD 21 Does not apply Asia \n", + "9487 Negative IND 21 Does not apply Asia \n", + "9488 Positive KOR Does not apply km).^3 Asia \n", + "\n", + " Number of times repeated Group Level \n", + "0 8 NaN NaN \n", + "1 8 NaN NaN \n", + "2 8 NaN NaN \n", + "3 8 NaN NaN \n", + "4 8 NaN NaN \n", + "... ... ... ... \n", + "9484 8 NaN NaN \n", + "9485 1 NaN NaN \n", + "9486 1 NaN NaN \n", + "9487 1 NaN NaN \n", + "9488 1 NaN NaN \n", + "\n", + "[9489 rows x 10 columns]" + ] + }, + "execution_count": 95, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "joining=pd.merge(final,categories, left_on='Indicator',right_on='Indicator')\n", + "final_join=joining.rename(columns={'Type_x':'Type','Type_y':'Group'})\n", + "final_join" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorR^2 SpearmanBehaviourCountryMovedTypeContinentNumber of times repeatedGroupLevel
Primary income receipts (BoP, current US$)18996GNI (current US$)0.996337PositiveDEUDoes not applyLinearEurope46Economyprimary
Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)18997GNI (current US$)0.996337PositiveFRADoes not applyLinearEurope46Economyprimary
Market capitalization of listed domestic companies (current US$)17998GNI (current US$)0.985388PositiveSWEDoes not applyLinearEurope46Economyprimary
Number of deaths ages 20-24 years17999GNI (current US$)0.988302PositiveGBRDoes not applyLinearEurope46Economyprimary
Nitrous oxide emissions (thousand metric tons of CO2 equivalent)171000GNI (current US$)0.998534PositiveESPDoes not applyLinearEurope46Economyprimary
Net secondary income (BoP, current US$)17.................................
Population in the largest city (% of urban population)178942Population density (people per sq0.871682PositiveCHLDoes not applykm of land area).^2Latam33Demographyprimary
Risk of impoverishing expenditure for surgical care (% of people at risk)178943Population density (people per sq0.974500PositivePANDoes not applykm of land area).^3Latam33Demographyprimary
Prevalence of overweight (modeled estimate, % of children under 5)178944Population density (people per sq0.993411PositiveCRIDoes not applykm of land area).^3Latam33Demographyprimary
Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)178945Population density (people per sq0.995605PositiveUSADoes not applykm of land area).^3Pair33Demographyprimary
Suicide mortality rate (per 100,000 population)17
Access to clean fuels and technologies for cooking (% of population)17
Adjusted savings: net national savings (current US$)17
Energy use (kg of oil equivalent per capita)17
GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)16
International migrant stock (% of population)16
Poverty gap at $116
Net primary income (Net income from abroad) (current US$)16
Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)16
Access to electricity (% of population)16
Number of deaths ages 15-19 years16
Net trade in goods (BoP, current US$)15
Permanent cropland (% of land area)15
Domestic credit to private sector by banks (% of GDP)15
Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)15
CO2 emissions from liquid fuel consumption (kt)15
Mortality caused by road traffic injury (per 100,000 population)15
Monetary Sector credit to private sector (% GDP)15
Import unit value index (2000 = 100)15
Poverty headcount ratio at national poverty lines (% of population)14
Prevalence of undernourishment (% of population)14
Employment in industry (% of total employment) (modeled ILO estimate)14
Proportion of seats held by women in national parliaments (%)13
Net primary income (BoP, current US$)13
Agricultural land (sq13
Domestic credit to private sector (% of GDP)13
Total fisheries production (metric tons)13
Births attended by skilled health staff (% of total)13
Aquaculture production (metric tons)13
Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)13
Agricultural methane emissions (thousand metric tons of CO2 equivalent)13
Increase in poverty gap at $313
Risk of catastrophic expenditure for surgical care (% of people at risk)13
Agricultural land (% of land area)13
Textiles and clothing (% of value added in manufacturing)13
Researchers in R&D (per million people)13
Nurses and midwives (per 1,000 people)13
Firms using banks to finance investment (% of firms)12
Firms offering formal training (% of firms)12
Customs and other import duties (% of tax revenue)12
Firms using banks to finance working capital (% of firms)12
Combustible renewables and waste (% of total energy)12
Capture fisheries production (metric tons)12
Merchandise imports from high-income economies (% of total merchandise imports)12
Cereal yield (kg per hectare)12
Broad money (% of GDP)12
HFC gas emissions (thousand metric tons of CO2 equivalent)12
CO2 emissions (kg per 2017 PPP $ of GDP)12
CO2 emissions (kg per 2015 US$ of GDP)12
Arable land (hectares)12
Renewable energy consumption (% of total final energy consumption)12
Arable land (% of land area)12
Nitrous oxide emissions (% change from 1990)12
Taxes on international trade (% of revenue)12
Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)12
Agricultural raw materials imports (% of merchandise imports)11
Net barter terms of trade index (2000 = 100)11
Completeness of birth registration (%)11
Commercial bank branches (per 100,000 adults)11
Hospital beds (per 1,000 people)11
Current health expenditure (% of GDP)11
Time required to start a business (days)11
CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)11
Time spent dealing with the requirements of government regulations (% of senior management time)11
Intentional homicides (per 100,000 people)11
Price level ratio of PPP conversion factor (GDP) to market exchange rate11
Time to obtain an electrical connection (days)11
Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)11
Domestic general government health expenditure (% of GDP)10
Agricultural methane emissions (% of total)10
Domestic general government health expenditure (% of general government expenditure)10
Cereal production (metric tons)10
Merchandise exports to high-income economies (% of total merchandise exports)10
Liner shipping connectivity index (maximum value in 2004 = 100)10
Gini index10
Pump price for diesel fuel (US$ per liter)10
Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)10
Income share held by highest 10%10
Income share held by lowest 10%10
Firms expected to give gifts in meetings with tax officials (% of firms)10
Proportion of people living below 50 percent of median income (%)10
Proportion of population pushed below the $310
New businesses registered (number)10
CO2 emissions from solid fuel consumption (kt)9
Electricity production from natural gas sources (% of total)9
Adjusted savings: energy depletion (current US$)9
Rail lines (total route-km)9
Maternal mortality ratio (national estimate, per 100,000 live births)9
Net migration9
Out-of-pocket expenditure (% of current health expenditure)9
Income share held by fourth 20%9
Start-up procedures to register a business (number)9
Income share held by highest 20%9
Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)9
Electricity production from oil sources (% of total)9
Energy related methane emissions (% of total)9
Income share held by lowest 20%9
Domestic general government health expenditure (% of current health expenditure)9
Proportion of population pushed below the $19
Industry (including construction), value added (% of GDP)9
Average time to clear exports through customs (days)9
CO2 emissions from gaseous fuel consumption (% of total)9
Fixed telephone subscriptions9
Research and development expenditure (% of GDP)9
Population living in areas where elevation is below 5 meters (% of total population)8
CO2 intensity (kg per kg of oil equivalent energy use)8
DEC alternative conversion factor (LCU per US$)8
Pump price for gasoline (US$ per liter)8
Rural population living in areas where elevation is below 5 meters (% of total population)8
Armed forces personnel (% of total labor force)8
Renewable electricity output (% of total electricity output)8
Mortality rate attributed to unintentional poisoning (per 100,000 population)8
Tuberculosis case detection rate (%, all forms)8
Urban population growth (annual %)8
Income share held by second 20%8
Income share held by third 20%8
Increase in poverty gap at $18
Firms with female participation in ownership (% of firms)8
Individuals using the Internet (% of population)8
Urban population living in areas where elevation is below 5 meters (% of total population)8
SF6 gas emissions (thousand metric tons of CO2 equivalent)7
External balance on goods and services (current US$)7
Alternative and nuclear energy (% of total energy use)7
Fossil fuel energy consumption (% of total)7
Adolescents out of school (% of lower secondary school age)7
Children out of school (% of primary school age)7
PFC gas emissions (thousand metric tons of CO2 equivalent)7
External health expenditure per capita (current US$)7
Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)7
New business density (new registrations per 1,000 people ages 15-64)7
Fertilizer consumption (kilograms per hectare of arable land)7
Official exchange rate (LCU per US$, period average)7
Nitrous oxide emissions in energy sector (% of total)7
Refugee population by country or territory of origin7
Medium and high-tech exports (% manufactured exports)6
Electricity production from hydroelectric sources (% of total)6
Domestic private health expenditure (% of current health expenditure)6
Net trade in goods and services (BoP, current US$)6
Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)6
Unemployment with basic education (% of total labor force with basic education)6
Population growth (annual %)6
ICT goods exports (% of total goods exports)6
Refugee population by country or territory of asylum6
Tuberculosis treatment success rate (% of new cases)6
Public credit registry coverage (% of adults)6
Fertilizer consumption (% of fertilizer production)6
ICT goods imports (% total goods imports)6
ICT service exports (% of service exports, BoP)6
Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)6
Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)5
Private credit bureau coverage (% of adults)5
Labor force with advanced education (% of total working-age population with advanced education)5
High-technology exports (current US$)5
Progression to secondary school (%)5
Transport services (% of service imports, BoP)5
Transport services (% of service exports, BoP)5
CO2 emissions from liquid fuel consumption (% of total)5
Land under cereal production (hectares)5
Food exports (% of merchandise exports)5
Deposit interest rate (%)5
CO2 emissions from solid fuel consumption (% of total)5
Military expenditure (% of general government expenditure)5
Agricultural raw materials exports (% of merchandise exports)5
Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)5
Trade (% of GDP)5
Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)5
Merchandise trade (% of GDP)5
Exports of goods and services (% of GDP)5
Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)5
Total reserves in months of imports5
Time to prepare and pay taxes (hours)5
Imports of goods and services (% of GDP)4
Rural population growth (annual %)4
Logistics performance index: Competence and quality of logistics services (1=low to 5=high)4
Agricultural nitrous oxide emissions (% of total)4
Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)4
Electricity production from coal sources (% of total)4
Labor force with intermediate education (% of total working-age population with intermediate education)4
Transport services (% of commercial service imports)4
Transport services (% of commercial service exports)4
Taxes on goods and services (% of revenue)4
Logistics performance index: Overall (1=low to 5=high)4
Changes in inventories (current US$)4
Agricultural irrigated land (% of total agricultural land)4
Interest payments (% of revenue)4
Time required to register property (days)4
Military expenditure (% of GDP)4
Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)4
Taxes on goods and services (% value added of industry and services)3
Travel services (% of service exports, BoP)3
Social contributions (% of revenue)3
Adjusted savings: net forest depletion (current US$)3
Unemployment with intermediate education (% of total labor force with intermediate education)3
Total tax and contribution rate (% of profit)3
Travel services (% of commercial service imports)3
Unemployment with advanced education (% of total labor force with advanced education)3
Other greenhouse gas emissions (% change from 1990)3
Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)3
Forest rents (% of GDP)3
Chemicals (% of value added in manufacturing)3
Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)3
Machinery and transport equipment (% of value added in manufacturing)3
Manufactures exports (% of merchandise exports)3
External health expenditure (% of current health expenditure)3
Labor force with basic education (% of total working-age population with basic education)3
Other taxes payable by businesses (% of commercial profits)3
General government final consumption expenditure (% of GDP)3
Logistics performance index: Ability to track and trace consignments (1=low to 5=high)3
Current account balance (BoP, current US$)2
Market capitalization of listed domestic companies (% of GDP)2
Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)2
Merchandise imports from economies in the Arab World (% of total merchandise imports)2
Profit tax (% of commercial profits)2
Grants and other revenue (% of revenue)2
Business extent of disclosure index (0=less disclosure to 10=more disclosure)2
Insurance and financial services (% of service imports, BoP)2
Sex ratio at birth (male births per female births)2
Time required to build a warehouse (days)2
Procedures to build a warehouse (number)2
Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)2
High-technology exports (% of manufactured exports)2
Trade in services (% of GDP)2
Ores and metals exports (% of merchandise exports)2
Tax revenue (% of GDP)2
Fuel exports (% of merchandise exports)2
Surface area (sq2
Ores and metals imports (% of merchandise imports)2
GHG net emissions/removals by LUCF (Mt of CO2 equivalent)2
Other manufacturing (% of value added in manufacturing)2
CO2 emissions from manufacturing industries and construction (% of total fuel combustion)2
CO2 emissions from transport (% of total fuel combustion)2
Labor tax and contributions (% of commercial profits)2
Land area (sq1
Travel services (% of service imports, BoP)1
Households and NPISHs final consumption expenditure (% of GDP)1
Travel services (% of commercial service exports)1
Insurance and financial services (% of service exports, BoP)1
Insurance and financial services (% of commercial service imports)1
Insurance and financial services (% of commercial service exports)1
Fixed telephone subscriptions (per 100 people)1
Arms exports (SIPRI trend indicator values)1
External balance on goods and services (% of GDP)1
Manufactures imports (% of merchandise imports)1
Electric power transmission and distribution losses (% of output)1
Procedures to register property (number)1
Arms imports (SIPRI trend indicator values)1
Broad money to total reserves ratio1
Diabetes prevalence (% of population ages 20 to 79)1
Gross capital formation (% of GDP)1
Tax payments (number)1
Electricity production from nuclear sources (% of total)1
Merchandise exports to economies in the Arab World (% of total merchandise exports)1
Net official development assistance and official aid received (current US$)1
Net official development assistance and official aid received (constant 2018 US$)1
Time required to enforce a contract (days)1
Net capital account (BoP, current US$)1
Natural gas rents (% of GDP)1
Expenditure on tertiary education (% of government expenditure on education)1
Gross fixed capital formation (% of GDP)18946Population density (people per sq1.000000PositiveCHNDoes not applykm of land area).^3Pair33Demographyprimary
" + "\n", + "

447 rows × 10 columns

\n", + "
" ], "text/plain": [ - "" + " Indicator R^2 Spearman Behaviour Country \\\n", + "996 GNI (current US$) 0.996337 Positive DEU \n", + "997 GNI (current US$) 0.996337 Positive FRA \n", + "998 GNI (current US$) 0.985388 Positive SWE \n", + "999 GNI (current US$) 0.988302 Positive GBR \n", + "1000 GNI (current US$) 0.998534 Positive ESP \n", + "... ... ... ... ... \n", + "8942 Population density (people per sq 0.871682 Positive CHL \n", + "8943 Population density (people per sq 0.974500 Positive PAN \n", + "8944 Population density (people per sq 0.993411 Positive CRI \n", + "8945 Population density (people per sq 0.995605 Positive USA \n", + "8946 Population density (people per sq 1.000000 Positive CHN \n", + "\n", + " Moved Type Continent \\\n", + "996 Does not apply Linear Europe \n", + "997 Does not apply Linear Europe \n", + "998 Does not apply Linear Europe \n", + "999 Does not apply Linear Europe \n", + "1000 Does not apply Linear Europe \n", + "... ... ... ... \n", + "8942 Does not apply km of land area).^2 Latam \n", + "8943 Does not apply km of land area).^3 Latam \n", + "8944 Does not apply km of land area).^3 Latam \n", + "8945 Does not apply km of land area).^3 Pair \n", + "8946 Does not apply km of land area).^3 Pair \n", + "\n", + " Number of times repeated Group Level \n", + "996 46 Economy primary \n", + "997 46 Economy primary \n", + "998 46 Economy primary \n", + "999 46 Economy primary \n", + "1000 46 Economy primary \n", + "... ... ... ... \n", + "8942 33 Demography primary \n", + "8943 33 Demography primary \n", + "8944 33 Demography primary \n", + "8945 33 Demography primary \n", + "8946 33 Demography primary \n", + "\n", + "[447 rows x 10 columns]" + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Focus on the one where patterns can be extracted (pattern based on repetition, so frequency higher than 50%).\n", + "selected_primary=final_join.loc[final_join['Level']=='primary']\n", + "selected_primary" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [], + "source": [ + "#Needed imports\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import seaborn as sns\n", + "\n", + "import plotly.express as px\n", + "\n", + "import plotly.graph_objects as go\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we’ve loaded the data, we can start right away to create widgets. These widgets are essentials to add interactivity to our visualizations. We’re going to use two widgets: both, multiple selection widgets. To create these widgets, we can use `ipywidgets` library that is available for Jupyter Notebook.\n", + "\n", + "The first widget that we are going to create is the multiple selection widget. We can do this by using `SelectMultiple()attribute` from `ipywidgets`. With this widget, we have the option to visualize the R^2 only in particular selection of indicators instead of all.\n", + "\n", + "The first argument that we should specify is `options` , which should contain the list of available options of our variable (in our case different indicators). The next one is `value` , which should contain the variable values that we want to display as default, and then `description` is for the text field to describe the name of the widget.The rest of options are just visual details." + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ae006984c00b4a09b7ff6ad44cb99c70", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(SelectMultiple(description='Indicator', index=(3,), layout=Layout(height='80px', width='…" ] }, - "execution_count": 75, "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#To get list of all number of times repeated.\n", - "#from IPython.display import HTML\n", - "\n", - "#HTML(df_indicators.to_html(index=False))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df= pd.read_csv (os.getcwd()+'/Data/'+'GoldenDataFrame.csv')\n", - "df_study=df[[c for c in df.columns if c in columns]]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "moveddf=pd.DataFrame()\n", - "dat=df_study.loc[df_study.loc[:, 'Country'] == clist[0]]\n", - "clmns=dat.columns.values.tolist()\n", - "dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", - "tempdiffs=['GDP (current US$)+1','GDP (current US$)+2','GDP (current US$)+3','GDP (current US$)+5','GDP (current US$)+8','GDP (current US$)+13','GDP (current US$)+21']\n", - "cors=dat.corr('spearman')\n", - "for f in range(0, len(tempdiffs)):\n", - " cors.loc[:,'R^2 Spearman'] = cors[tempdiffs[f]]**2\n", - " cors.loc[:,'Indicator']=cors.index\n", - " corscolumn=cors[['Indicator','R^2 Spearman',tempdiffs[f]]]\n", - " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.75]\n", - " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", - " corscolumn[ids]\n", - " maxs_df=pd.DataFrame(corscolumn[ids])\n", - " maxs_df['Behaviour']=np.where(maxs_df[tempdiffs[f]]>0, 'Positive', 'Negative')\n", - " maxs_df['Country']= clist[0]\n", - " maxs_df[['Variable','Moved']]=tempdiffs[f].split('+')\n", - " maxs_df.drop(tempdiffs[f],axis=1,inplace=True)\n", - " maxs_df.drop(columns='Variable',inplace=True)\n", - " maxs_df=maxs_df.reset_index(drop=True)\n", - " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", - " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='GDP (current US$)'].index)\n", - " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator'].isin(tempdiffs)].index)\n", - " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", - " maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)\n", - " moveddf=pd.concat((moveddf,maxs_df),axis=0)\n", - "ids=moveddf.groupby('Indicator')['R^2 Spearman'].transform(max)==moveddf['R^2 Spearman']\n", - "moveddf[ids]\n", - "moveddf=pd.DataFrame(moveddf[ids])\n", - "temporaldf=moveddf" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "for i in range(1,len(clist)):\n", - " dat=df_study.loc[df_study.loc[:, 'Country'] == clist[i]]\n", - " clmns=dat.columns.values.tolist()\n", - " dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", - " tempdiffs=['GDP (current US$)+1','GDP (current US$)+2','GDP (current US$)+3','GDP (current US$)+5','GDP (current US$)+8','GDP (current US$)+13','GDP (current US$)+21']\n", - " cors=dat.corr('spearman')\n", - " moveddf=pd.DataFrame()\n", - " for f in range(0, len(tempdiffs)):\n", - " cors.loc[:,'R^2 Spearman'] = cors[tempdiffs[f]]**2\n", - " cors.loc[:,'Indicator']=cors.index\n", - " corscolumn=cors[['Indicator','R^2 Spearman',tempdiffs[f]]]\n", - " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.75]\n", - " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", - " corscolumn[ids]\n", - " maxs_df=pd.DataFrame(corscolumn[ids])\n", - " maxs_df['Behaviour']=np.where(maxs_df[tempdiffs[f]]>0, 'Positive', 'Negative')\n", - " maxs_df['Country']= clist[i]\n", - " maxs_df[['Variable','Moved']]=tempdiffs[f].split('+')\n", - " maxs_df.drop(tempdiffs[f],axis=1,inplace=True)\n", - " maxs_df.drop(columns='Variable',inplace=True)\n", - " maxs_df=maxs_df.reset_index(drop=True)\n", - " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", - " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator'].isin(tempdiffs)].index)\n", - " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", - " maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)\n", - " moveddf=pd.concat((moveddf,maxs_df),axis=0)\n", - " ids=moveddf.groupby('Indicator')['R^2 Spearman'].transform(max)==moveddf['R^2 Spearman']\n", - " moveddf[ids]\n", - " moveddf=pd.DataFrame(moveddf[ids])\n", - " temporaldf=pd.concat((temporaldf,moveddf),axis=0)\n", - "temporaldf" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "alist=['Indicator','R^2 Spearman','Behaviour','Country','Type']\n", - "forcomparassion=corrtable[alist]\n", - "\n", - "quarterfinal=pd.concat((temporaldf,forcomparassion),axis=0)\n", - "quarterfinal.fillna('Does not apply',inplace=True)\n", - "quarterfinal" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "final=pd.DataFrame()\n", - "for i in range(0,len(clist)):\n", - " dat=quarterfinal.loc[quarterfinal.loc[:, 'Country'] == clist[i]]\n", - " ids=dat.groupby('Indicator')['R^2 Spearman'].transform(max)==dat['R^2 Spearman']\n", - " dat[ids]\n", - " semifinal=pd.DataFrame(dat[ids])\n", - " final=pd.concat((final,semifinal), axis=0)\n", - "final" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "columnssf=final.Indicator.to_list()\n", - "columnsf=np.unique(columnssf)\n", - "powerind=[]\n", - "for i in range(0, len(columnsf)):\n", - " powerind.append(columnssf.count(columnsf[i]))\n", - "\n", - "final_indicators = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Indicator','Number of times repeated'])\n", - "final_indicators=final_indicators.sort_values(by = 'Number of times repeated',ascending = False)\n", - "final_indicators" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "columnssf=final.Moved.to_list()\n", - "columnsf=np.unique(columnssf)\n", - "powerind=[]\n", - "for i in range(0, len(columnsf)):\n", - " powerind.append(columnssf.count(columnsf[i]))\n", - "\n", - "final_moved = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Time moved','Number of times repeated'])\n", - "final_moved=final_moved.sort_values(by = 'Number of times repeated',ascending = False)\n", - "final_moved" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "VISUALIZATION OF DATA" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#To understand better the data, we categorize it (Area label and Primary/Secondary).\n", - "pip install openpyxl\n", - "\n", - "categories= pd.read_excel (os.getcwd()+'/Data/'+'dfindicators - Copy.xlsx')\n", - "categories" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "joining=pd.merge(corrtable,categories,on='Indicator')\n", - "final_join=joining.rename(columns={'Type_x':'Type of corr','Type_y':'Area'})\n", - "final_join['Continent']=final_join['Country'].map(Categorization3.set_index('Country')['Continent'].to_dict())" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Focus on the one where patterns can be extracted (pattern based on repetition, so frequency higher than 50%).\n", - "selected=final_join.loc[final_join['Number of times repeated']>=25]\n", - "selected_primary=selected.loc[selected['Level']=='primary']\n", - "selected_primary" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Needed imports\n", - "import matplotlib.pyplot as plt\n", - "\n", - "pip install seaborn\n", - "\n", - "import seaborn as sns\n", - "\n", - "import plotly.express as px\n", - "\n", - "import plotly.graph_objects as go\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#PLOT FOR INDICATORS FREQUENCY\n", - "unique_tric=selected_primary['Continent'].unique()\n", - "tric=widgets.SelectMultiple(options=unique_tric.tolist(),value=['North Africa'],description='Continent',disabled=False,layout=Layout(width='50%',height='80px'))\n", - "\n", - "def graph1(tric):\n", - " dat=selected_primary.loc[selected_primary.loc[:,'Continent'].isin(np.array(tric))]\n", - " fig=sns.countplot(dat, x='Indicator',animation_group=\"Area\",height=500,color='Area',range_y=[0,50])\n", - " fig.update_layout(title='Relevant indicators with GDP-frequency')\n", - " fig.update_layout(barmode='stack', xaxis={'categoryorder':'total descending'})\n", - " fig.show()\n", - "widgets.interactive(graph1,tric=tric)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now that we’ve loaded the data, we can start right away to create widgets. These widgets are essentials to add interactivity to our visualizations. We’re going to use two widgets: both, multiple selection widgets. To create these widgets, we can use `ipywidgets` library that is available for Jupyter Notebook.\n", - "\n", - "The first widget that we are going to create is the multiple selection widget. We can do this by using `SelectMultiple()attribute` from `ipywidgets`. With this widget, we have the option to visualize the R^2 only in particular selection of indicators instead of all.\n", - "\n", - "The first argument that we should specify is `options` , which should contain the list of available options of our variable (in our case different indicators). 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+ }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Imports of goods and services (current US$)" + }, + "width": 700 + } + } + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "unique_tri = demo2['Indicator'].unique()\n", + "unique_tri = selected_primary['Indicator'].unique()\n", "tri = widgets.SelectMultiple(\n", " options = unique_tri.tolist(),\n", - " value = ['Exports-G&S'],\n", + " value = ['Exports of goods and services (current US$)'],\n", " description='Indicator',\n", " disabled=False,\n", " layout = Layout(width='50%', height='80px')\n", ")\n", "\n", "def graf1(tri):\n", - " dat=demo2.loc[demo2.loc[:, 'Indicator'].isin(np.array(tri))]\n", + " dat=selected_primary.loc[selected_primary.loc[:, 'Indicator'].isin(np.array(tri))]\n", " a=px.choropleth(dat, locations=\"Country\", locationmode='ISO-3', \n", - " color=\"R^2 Pearson\", hover_name=\"Country\",hover_data = [dat.Type, dat.Behaviour],projection=\"natural earth\",\n", + " color=\"R^2 Spearman\", hover_name=\"Country\",hover_data = [dat.Type, dat.Behaviour,dat.Moved,dat.Group],projection=\"natural earth\",\n", " color_continuous_scale='Reds', width=700, height=500, title= dat.Indicator.unique().tolist()[0])\n", " print(tri)\n", " a.show()\n", "widgets.interactive(graf1, tri=tri)\n" ] }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6429ec2c3ba347d58ea1eea464d5a09d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(SelectMultiple(description='Continent', index=(0,), layout=Layout(height='80px', width='…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "unique_tric1=final_join['Continent'].unique()\n", + "unique_tric2=final_join['Group'].unique()\n", + "\n", + "tric1=widgets.SelectMultiple(options=unique_tric1.tolist(),value=['Europe'],description='Continent',disabled=False,layout=Layout(width='50%',height='80px'))\n", + "tric2=widgets.SelectMultiple(options=unique_tric2.tolist(),value=['Demography'],description='Group',disabled=False,layout=Layout(width='50%',height='80px'))\n", + "\n", + "def graph1(tric1,tric2):\n", + " dat=final_join.loc[final_join.loc[:,'Continent'].isin(np.array(tric1))]\n", + " dat=dat.loc[dat.loc[:,'Group'].isin(np.array(tric2))]\n", + " \n", + " fig=sns.countplot(data=dat, y=\"Indicator\", hue=\"Level\",barmode='stack')\n", + " fig.show()\n", + "widgets.interactive(graph1,tric1=tric1,tric2=tric2)\n" + ] + }, { "cell_type": "markdown", "metadata": {}, From 8082b0d7136860769cbe83ff45b8a91fbc2ac95e Mon Sep 17 00:00:00 2001 From: amarchve Date: Fri, 29 Jul 2022 11:30:21 +0200 Subject: [PATCH 37/86] visualization --- WDI-Complete code.ipynb | 22 +++++----------------- 1 file changed, 5 insertions(+), 17 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index ade31cb..59c460e 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -13863,13 +13863,13 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": 133, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6429ec2c3ba347d58ea1eea464d5a09d", + "model_id": "20719ec4325c466496fd83978b29f3ea", "version_major": 2, "version_minor": 0 }, @@ -13879,18 +13879,6 @@ }, "metadata": {}, "output_type": "display_data" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" } ], "source": [ @@ -13898,14 +13886,14 @@ "unique_tric2=final_join['Group'].unique()\n", "\n", "tric1=widgets.SelectMultiple(options=unique_tric1.tolist(),value=['Europe'],description='Continent',disabled=False,layout=Layout(width='50%',height='80px'))\n", - "tric2=widgets.SelectMultiple(options=unique_tric2.tolist(),value=['Demography'],description='Group',disabled=False,layout=Layout(width='50%',height='80px'))\n", + "tric2=widgets.SelectMultiple(options=unique_tric2.tolist(),value=['Exports'],description='Group',disabled=False,layout=Layout(width='50%',height='80px'))\n", "\n", "def graph1(tric1,tric2):\n", " dat=final_join.loc[final_join.loc[:,'Continent'].isin(np.array(tric1))]\n", " dat=dat.loc[dat.loc[:,'Group'].isin(np.array(tric2))]\n", " \n", - " fig=sns.countplot(data=dat, y=\"Indicator\", hue=\"Level\",barmode='stack')\n", - " fig.show()\n", + " fig=sns.countplot(data=dat, y=\"Indicator\", hue=\"Level\")\n", + " fig\n", "widgets.interactive(graph1,tric1=tric1,tric2=tric2)\n" ] }, From 237ab9da9d06afbaca85bc3f1baa2e5ec066cee0 Mon Sep 17 00:00:00 2001 From: amarchve Date: Fri, 29 Jul 2022 11:32:50 +0200 Subject: [PATCH 38/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 1423 +-------------------------------------- 1 file changed, 15 insertions(+), 1408 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 59c460e..7d6445f 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -13861,6 +13861,20 @@ "widgets.interactive(graf1, tri=tri)\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To wrap up, we can create the second widget that is exactly the same as the previous multiple selection widget. The purpose of this widget is to enable us to choose which Continent we want to visualize. Below is the code implementation of this widget." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, if we execute the following loop, it will provide with the variables that follow a normal distribution." + ] + }, { "cell_type": "code", "execution_count": 133, @@ -13901,1414 +13915,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "To wrap up, we can create the second widget that is exactly the same as the previous multiple selection widget. The purpose of this widget is to enable us to choose which Continent we want to visualize. Below is the code implementation of this widget." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "786cecc29fe64b678f77a5ac0c6a2652", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(SelectMultiple(description='Continent', index=(2,), layout=Layout(height='80px', width='…" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "customdata": [ - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Negative" - ], - [ - null, - "Negative" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Positive" - ], - [ - "Logarithmic", - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Positive" - ], - [ - "Logarithmic", - "Negative" - ], - [ - null, - "Positive" - ], - [ - "Logarithmic", - "Negative" - ], - [ - "Logarithmic", - "Negative" - ], - [ - "Cubic", - "Positive" - ], - [ - "Cuadratic", - "Positive" - ], - [ - "Cuadratic", - "Negative" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Positive" - ], - [ - "Cuadratic", - "Positive" - ], - [ - "Logarithmic", - "Negative" - ], - [ - null, - "Positive" - ], - [ - "Logarithmic", - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Logarithmic", - "Positive" - ], - [ - "Cuadratic", - "Negative" - ], - [ - null, - "Positive" - ], - [ - "Logarithmic", - "Negative" - ], - [ - "Logarithmic", - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Negative" - ], - [ - "Cubic", - "Negative" - ], - [ - "Logarithmic", - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cubic", - "Negative" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Negative" - ], - [ - "Cubic", - "Negative" - ], - [ - "Logarithmic", - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Negative" - ], - [ - null, - "Negative" - ], - [ - "Logarithmic", - "Negative" - ] - ], - "hovertemplate": "%{hovertext}

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"automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "title": { - "text": "North Africa" - }, - "width": 700, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "R^2 Pearson" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "title": { - "text": "Indicator" - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "unique_tric = demo2['Continent'].unique()\n", - "tric = widgets.SelectMultiple(\n", - " options = unique_tric.tolist(),\n", - " value = ['North Africa'],\n", - " description='Continent',\n", - " disabled=False,\n", - " layout = Layout(width='50%', height='80px')\n", - ")\n", - "\n", - "def graf1(tric):\n", - " dat=demo2.loc[demo2.loc[:, 'Continent'].isin(np.array(tric))]\n", - " a=px.scatter(dat, x=\"R^2 Pearson\", y='Indicator',\n", - " color=\"R^2 Pearson\", hover_name=\"Country\",hover_data = [dat.Type, dat.Behaviour],\n", - " color_continuous_scale='Blues', width=700, height=500, title= dat.Continent.unique().tolist()[0])\n", - " a.show()\n", - "widgets.interactive(graf1, tric=tric)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, if we execute the following loop, it will provide with the variables that follow a normal distribution." + "----" ] }, { From bfc503226c97375f2ea547e27ca9604dae64cc24 Mon Sep 17 00:00:00 2001 From: amarchve Date: Fri, 29 Jul 2022 12:43:37 +0200 Subject: [PATCH 39/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 57487 ++++++++++++++++++++++++++++++++++---- 1 file changed, 52790 insertions(+), 4697 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 7d6445f..8edae7e 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -27,7 +27,6 @@ "import warnings\n", "warnings.filterwarnings(\"ignore\")\n", "import functools as ft\n", - "from pyspark.sql.functions import concat, col, lit, split\n", "import ipywidgets as widgets\n", "from ipywidgets import Layout\n", "from ipywidgets import interact, interact_manual\n", @@ -953,7 +952,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -3746,7 +3745,13 @@ "People using safely managed drinking water services, rural (% of rural population)\n", "People using safely managed drinking water services, urban (% of urban population)\n", "People using safely managed sanitation services, rural (% of rural population)\n", - "People using safely managed sanitation services, urban (% of urban population)\n", + "People using safely managed sanitation services, urban (% of urban population)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "People with basic handwashing facilities including soap and water (% of population)\n", "People with basic handwashing facilities including soap and water, rural (% of rural population)\n", "People with basic handwashing facilities including soap and water, urban (% of urban population)\n", @@ -3889,7 +3894,13 @@ "Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative)\n", "Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative)\n", "Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative)\n", - "Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative)\n", + "Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative)\n", "Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative)\n", "Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative)\n", @@ -6321,7 +6332,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -6330,7 +6341,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -6354,7 +6365,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -6364,7 +6375,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -6544,7 +6555,7 @@ "[1540363 rows x 6 columns]" ] }, - "execution_count": 44, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -6570,7 +6581,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -6750,7 +6761,7 @@ "[1372098 rows x 6 columns]" ] }, - "execution_count": 45, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -6771,7 +6782,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ @@ -6787,7 +6798,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -6992,7 +7003,7 @@ "[1372098 rows x 7 columns]" ] }, - "execution_count": 47, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -7011,7 +7022,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -7216,7 +7227,7 @@ "[1372098 rows x 7 columns]" ] }, - "execution_count": 48, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -7236,7 +7247,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -7441,7 +7452,7 @@ "[4545 rows x 7 columns]" ] }, - "execution_count": 49, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -7460,7 +7471,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -7677,7 +7688,7 @@ "[1372098 rows x 8 columns]" ] }, - "execution_count": 50, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -7696,7 +7707,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -7925,7 +7936,7 @@ "[1372098 rows x 9 columns]" ] }, - "execution_count": 51, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -7944,7 +7955,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -8173,7 +8184,7 @@ "[1372098 rows x 9 columns]" ] }, - "execution_count": 52, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -8192,7 +8203,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 51, "metadata": {}, "outputs": [], "source": [ @@ -8209,7 +8220,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -8438,7 +8449,7 @@ "[1157276 rows x 9 columns]" ] }, - "execution_count": 54, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -8456,7 +8467,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -8685,7 +8696,7 @@ "[1372098 rows x 9 columns]" ] }, - "execution_count": 55, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -8712,7 +8723,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -8941,7 +8952,7 @@ "[687830 rows x 9 columns]" ] }, - "execution_count": 56, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -8953,7 +8964,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 55, "metadata": {}, "outputs": [], "source": [ @@ -8962,7 +8973,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 56, "metadata": {}, "outputs": [], "source": [ @@ -8980,7 +8991,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 57, "metadata": {}, "outputs": [], "source": [ @@ -9005,7 +9016,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -9025,7 +9036,7 @@ "Name: GDP (current US$), Length: 1536, dtype: float64" ] }, - "execution_count": 61, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -9045,7 +9056,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 59, "metadata": {}, "outputs": [], "source": [ @@ -9054,7 +9065,7 @@ }, { "cell_type": "code", - 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"execution_count": 71, + "execution_count": 68, "metadata": {}, "outputs": [], "source": [ @@ -9261,7 +9272,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 69, "metadata": {}, "outputs": [ { @@ -9537,7 +9548,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 70, "metadata": {}, "outputs": [], "source": [ @@ -9547,7 +9558,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -9683,7 +9694,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 72, "metadata": {}, "outputs": [], "source": [ @@ -9695,7 +9706,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 73, "metadata": {}, "outputs": [], "source": [ @@ -9705,7 +9716,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 74, "metadata": {}, "outputs": [], "source": [ @@ -9743,7 +9754,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -9898,7 +9909,7 @@ "[9700 rows x 5 columns]" ] }, - 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} - ], + "outputs": [], "source": [ "#To understand better the data, we categorize it (Area label and Primary/Secondary).\n", "categories= pd.read_excel (os.getcwd()+'/Data/'+'dfindicators - Copy.xlsx')" @@ -10277,7 +10143,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 78, "metadata": {}, "outputs": [ { @@ -10456,7 +10322,7 @@ "[9489 rows x 7 columns]" ] }, - "execution_count": 87, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } @@ -10477,7 +10343,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 79, "metadata": {}, "outputs": [ { @@ -10596,7 +10462,7 @@ "[403 rows x 2 columns]" ] }, - "execution_count": 88, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } @@ -10615,7 +10481,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 80, "metadata": {}, "outputs": [ { @@ -10700,7 +10566,7 @@ "4 3 541" ] }, - "execution_count": 89, + "execution_count": 80, "metadata": {}, "output_type": "execute_result" } @@ -10726,7 +10592,7 @@ }, { "cell_type": "code", - 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mobile-money-service provider (% of population ages 15+)\n", "Statistical=0.957, p=0.229\n", "Data is NORMAL ( H0 not denied )\n", - "DEU-Renewable electricity\n", - "Statistical=0.806, p=0.000\n", - "DEU-Employment-agriculture\n", - "Statistical=0.888, p=0.003\n", - "DEU-Employment-industry\n", - "Statistical=0.906, p=0.009\n", - "DEU-Employment-services\n", - "Statistical=0.877, p=0.002\n", - "DEU-Exports-G&S\n", - "Statistical=0.887, p=0.003\n", - "DEU-Fertility rate\n", - "Statistical=0.893, p=0.004\n", - "DEU-Foreign investment\n", - "Statistical=0.851, p=0.000\n", - "DEU-GDP\n", - "Statistical=0.927, p=0.031\n", - "DEU-Education GExp\n", - "Statistical=0.972, p=0.548\n", + "DEU-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "DEU-Workers high education\n", - "Statistical=0.887, p=0.003\n", - "DEU-Literacy rate\n", - "Statistical=0.809, p=0.000\n", - "DEU-Net migration\n", - "Statistical=nan, p=1.000\n", + "DEU-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "DEU-Mortality-infants\n", - "Statistical=nan, p=1.000\n", + "DEU-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "DEU-Health services use\n", - "Statistical=0.804, p=0.000\n", - "DEU-R&D GExp\n", - "Statistical=0.879, p=0.002\n", - "DEU-Ninis\n", - "Statistical=0.819, p=0.000\n", - "DEU-Suicide\n", - "Statistical=0.892, p=0.004\n", - "DEU-International taxes\n", - "Statistical=0.824, p=0.000\n", - "DEU-Alcohol per capita\n", - "Statistical=0.826, p=0.000\n", - "FRA-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "DEU-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "FRA-Renewable electricity\n", - "Statistical=0.796, p=0.000\n", - "FRA-Employment-agriculture\n", - "Statistical=0.936, p=0.058\n", + "DEU-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "FRA-Employment-industry\n", - "Statistical=0.904, p=0.008\n", - "FRA-Employment-services\n", - "Statistical=0.906, p=0.009\n", - "FRA-Exports-G&S\n", - "Statistical=0.915, p=0.015\n", - "FRA-Fertility rate\n", - "Statistical=0.876, p=0.002\n", - "FRA-Foreign investment\n", - "Statistical=0.884, p=0.002\n", - "FRA-GDP\n", - "Statistical=0.915, p=0.015\n", - "FRA-Education GExp\n", - "Statistical=0.957, p=0.223\n", + "DEU-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "FRA-Workers high education\n", - "Statistical=0.846, p=0.000\n", - "FRA-Literacy rate\n", - "Statistical=0.856, p=0.001\n", - "FRA-Net migration\n", - "Statistical=0.888, p=0.003\n", - "FRA-Mortality-infants\n", - "Statistical=nan, p=1.000\n", + "DEU-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.620, p=0.000\n", + "DEU-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.647, p=0.000\n", + "DEU-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.596, p=0.000\n", + "DEU-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.604, p=0.000\n", + "DEU-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.457, p=0.000\n", + "DEU-Age dependency ratio (% of working-age population)\n", + "Statistical=0.566, p=0.000\n", + "DEU-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.621, p=0.000\n", + "DEU-Agricultural land (% of land area)\n", + "Statistical=0.584, p=0.000\n", + "DEU-Agricultural land (sq. km)\n", + "Statistical=0.712, p=0.000\n", + "DEU-Agricultural methane emissions (% of total)\n", + "Statistical=0.928, p=0.034\n", + "DEU-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.910, p=0.011\n", + "DEU-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.920, p=0.020\n", + "DEU-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.991, p=0.992\n", "Data is NORMAL ( H0 not denied )\n", - "FRA-Health services use\n", - "Statistical=0.755, p=0.000\n", - "FRA-R&D GExp\n", - "Statistical=0.896, p=0.005\n", - "FRA-Ninis\n", - "Statistical=0.840, p=0.000\n", - "FRA-Suicide\n", - "Statistical=0.902, p=0.007\n", - "FRA-International taxes\n", - "Statistical=0.754, p=0.000\n", - "FRA-Alcohol per capita\n", - "Statistical=0.811, p=0.000\n", - "SWE-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.945, p=0.101\n", "Data is NORMAL ( H0 not denied )\n", - "SWE-Renewable electricity\n", - "Statistical=0.832, p=0.000\n", - "SWE-Employment-agriculture\n", - "Statistical=0.883, p=0.003\n", - "SWE-Employment-industry\n", - "Statistical=0.898, p=0.006\n", - "SWE-Employment-services\n", - "Statistical=0.893, p=0.005\n", - "SWE-Exports-G&S\n", - "Statistical=0.898, p=0.006\n", - "SWE-Fertility rate\n", - "Statistical=0.850, p=0.001\n", - "SWE-Foreign investment\n", - "Statistical=0.863, p=0.001\n", - "SWE-GDP\n", - "Statistical=0.964, p=0.367\n", + "DEU-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.880, p=0.002\n", + "DEU-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.976, p=0.671\n", "Data is NORMAL ( H0 not denied )\n", - "SWE-Education GExp\n", - "Statistical=0.976, p=0.700\n", + "DEU-Aquaculture production (metric tons)\n", + "Statistical=0.925, p=0.029\n", + "DEU-Arable land (% of land area)\n", + "Statistical=0.871, p=0.001\n", + "DEU-Arable land (hectares per person)\n", + "Statistical=0.926, p=0.031\n", + "DEU-Arable land (hectares)\n", + "Statistical=0.850, p=0.000\n", + "DEU-Armed forces personnel (% of total labor force)\n", + "Statistical=0.923, p=0.025\n", + "DEU-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.849, p=0.000\n", + "DEU-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.959, p=0.264\n", "Data is NORMAL ( H0 not denied )\n", - "SWE-Workers high education\n", - "Statistical=0.864, p=0.001\n", - "SWE-Literacy rate\n", - "Statistical=0.830, p=0.000\n", - "SWE-Net migration\n", + "DEU-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.927, p=0.032\n", + "DEU-Average precipitation in depth (mm per year)\n", + "Statistical=0.965, p=0.380\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Average time to clear exports through customs (days)\n", + "Statistical=0.887, p=0.003\n", + "DEU-Births attended by skilled health staff (% of total)\n", + "Statistical=0.834, p=0.000\n", + "DEU-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.866, p=0.001\n", + "DEU-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.923, p=0.026\n", + "DEU-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.900, p=0.006\n", + "DEU-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.856, p=0.001\n", + "DEU-CO2 emissions (kt)\n", + "Statistical=0.777, p=0.000\n", + "DEU-CO2 emissions (metric tons per capita)\n", + "Statistical=0.757, p=0.000\n", + "DEU-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-CO2 emissions from gaseous fuel consumption (kt)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "SWE-Mortality-infants\n", + "DEU-CO2 emissions from liquid fuel consumption (% of total)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "SWE-Health services use\n", - "Statistical=0.791, p=0.000\n", - "SWE-R&D GExp\n", - "Statistical=0.932, p=0.051\n", + "DEU-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.924, p=0.027\n", + "DEU-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.845, p=0.000\n", + "DEU-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.874, p=0.001\n", + "DEU-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.953, p=0.179\n", "Data is NORMAL ( H0 not denied )\n", - "SWE-Ninis\n", - "Statistical=0.820, p=0.000\n", - "SWE-Suicide\n", - "Statistical=0.955, p=0.215\n", + "DEU-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.901, p=0.007\n", + "DEU-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.799, p=0.000\n", + "DEU-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.825, p=0.000\n", + "DEU-Capture fisheries production (metric tons)\n", + "Statistical=0.786, p=0.000\n", + "DEU-Cereal production (metric tons)\n", + "Statistical=0.949, p=0.132\n", "Data is NORMAL ( H0 not denied )\n", - "SWE-International taxes\n", - "Statistical=0.832, p=0.000\n", - "SWE-Alcohol per capita\n", - "Statistical=0.927, p=0.037\n", - "GBR-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Cereal yield (kg per hectare)\n", + "Statistical=0.882, p=0.002\n", + "DEU-Changes in inventories (current US$)\n", + "Statistical=0.890, p=0.003\n", + "DEU-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.567, p=0.000\n", + "DEU-Children out of school (% of primary school age)\n", + "Statistical=0.917, p=0.017\n", + "DEU-Coal rents (% of GDP)\n", + "Statistical=0.905, p=0.008\n", + "DEU-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.612, p=0.000\n", + "DEU-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.605, p=0.000\n", + "DEU-Commercial service exports (current US$)\n", + "Statistical=0.791, p=0.000\n", + "DEU-Commercial service imports (current US$)\n", + "Statistical=0.837, p=0.000\n", + "DEU-Completeness of birth registration (%)\n", + "Statistical=0.745, p=0.000\n", + "DEU-Consumer price index (2010 = 100)\n", + "Statistical=0.951, p=0.153\n", "Data is NORMAL ( H0 not denied )\n", - "GBR-Renewable electricity\n", - "Statistical=0.759, p=0.000\n", - "GBR-Employment-agriculture\n", - "Statistical=0.944, p=0.110\n", + "DEU-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.907, p=0.009\n", + "DEU-Crop production index (2014-2016 = 100)\n", + "Statistical=0.868, p=0.001\n", + "DEU-Current account balance (% of GDP)\n", + "Statistical=0.942, p=0.084\n", "Data is NORMAL ( H0 not denied )\n", - "GBR-Employment-industry\n", - "Statistical=0.846, p=0.000\n", - "GBR-Employment-services\n", - "Statistical=0.896, p=0.006\n", - "GBR-Exports-G&S\n", - "Statistical=0.896, p=0.006\n", - "GBR-Fertility rate\n", - "Statistical=0.885, p=0.003\n", - "GBR-Foreign investment\n", - "Statistical=0.881, p=0.003\n", - "GBR-GDP\n", - "Statistical=0.971, p=0.533\n", + "DEU-Current account balance (BoP, current US$)\n", + "Statistical=0.968, p=0.435\n", "Data is NORMAL ( H0 not denied )\n", - "GBR-Education GExp\n", - "Statistical=0.973, p=0.593\n", + "DEU-Current health expenditure (% of GDP)\n", + "Statistical=0.923, p=0.025\n", + "DEU-Current health expenditure per capita (current US$)\n", + "Statistical=0.923, p=0.025\n", + "DEU-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.934, p=0.051\n", "Data is NORMAL ( H0 not denied )\n", - "GBR-Workers high education\n", - "Statistical=0.882, p=0.003\n", - "GBR-Literacy rate\n", - "Statistical=0.847, p=0.000\n", - "GBR-Net migration\n", - "Statistical=nan, p=1.000\n", + "DEU-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.918, p=0.018\n", + "DEU-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.855, p=0.001\n", + "DEU-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.956, p=0.208\n", "Data is NORMAL ( H0 not denied )\n", - "GBR-Mortality-infants\n", - "Statistical=nan, p=1.000\n", + "DEU-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.861, p=0.001\n", + "DEU-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.921, p=0.022\n", + "DEU-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.928, p=0.035\n", + "DEU-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.878, p=0.002\n", + "DEU-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.838, p=0.000\n", + "DEU-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.866, p=0.001\n", + "DEU-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.901, p=0.006\n", + "DEU-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.901, p=0.006\n", + "DEU-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.934, p=0.049\n", + "DEU-Electric power consumption (kWh per capita)\n", + "Statistical=0.957, p=0.223\n", "Data is NORMAL ( H0 not denied )\n", - "GBR-Health services use\n", - "Statistical=0.917, p=0.020\n", - "GBR-R&D GExp\n", - "Statistical=0.936, p=0.063\n", + "DEU-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.961, p=0.300\n", "Data is NORMAL ( H0 not denied )\n", - "GBR-Ninis\n", - "Statistical=0.773, p=0.000\n", - "GBR-Suicide\n", - "Statistical=0.941, p=0.088\n", + "DEU-Electricity production from coal sources (% of total)\n", + "Statistical=0.968, p=0.441\n", "Data is NORMAL ( H0 not denied )\n", - "GBR-International taxes\n", - "Statistical=0.810, p=0.000\n", - "GBR-Alcohol per capita\n", - "Statistical=0.891, p=0.004\n", - "ESP-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.895, p=0.005\n", + "DEU-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.893, p=0.004\n", + "DEU-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.959, p=0.263\n", "Data is NORMAL ( H0 not denied )\n", - "ESP-Renewable electricity\n", - "Statistical=0.793, p=0.000\n", - "ESP-Employment-agriculture\n", - "Statistical=0.908, p=0.012\n", - "ESP-Employment-industry\n", - "Statistical=0.823, p=0.000\n", - "ESP-Employment-services\n", - "Statistical=0.798, p=0.000\n", - "ESP-Exports-G&S\n", - "Statistical=0.866, p=0.001\n", - "ESP-Fertility rate\n", - "Statistical=0.905, p=0.009\n", - "ESP-Foreign investment\n", - "Statistical=0.897, p=0.006\n", - "ESP-GDP\n", - "Statistical=0.960, p=0.283\n", + "DEU-Electricity production from oil sources (% of total)\n", + "Statistical=0.841, p=0.000\n", + "DEU-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.725, p=0.000\n", + "DEU-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "ESP-Education GExp\n", - "Statistical=0.989, p=0.980\n", + "DEU-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "ESP-Workers high education\n", - "Statistical=0.850, p=0.001\n", - "ESP-Literacy rate\n", - "Statistical=0.848, p=0.000\n", - "ESP-Net migration\n", - "Statistical=0.363, p=0.000\n", - "ESP-Mortality-infants\n", - "Statistical=0.712, p=0.000\n", - "ESP-Health services use\n", - "Statistical=0.923, p=0.029\n", - "ESP-R&D GExp\n", - "Statistical=0.901, p=0.008\n", - "ESP-Ninis\n", - "Statistical=0.711, p=0.000\n", - "ESP-Suicide\n", - "Statistical=0.852, p=0.001\n", - "ESP-International taxes\n", - "Statistical=0.820, p=0.000\n", - "ESP-Alcohol per capita\n", - "Statistical=0.841, p=0.000\n", - "HRV-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "HRV-Renewable electricity\n", - "Statistical=0.700, p=0.000\n", - "HRV-Employment-agriculture\n", - "Statistical=0.829, p=0.000\n", - "HRV-Employment-industry\n", - "Statistical=0.944, p=0.103\n", + "DEU-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "HRV-Employment-services\n", - "Statistical=0.956, p=0.232\n", + "DEU-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "HRV-Exports-G&S\n", - "Statistical=0.928, p=0.040\n", - "HRV-Fertility rate\n", - "Statistical=0.911, p=0.013\n", - "HRV-Foreign investment\n", - "Statistical=0.866, p=0.001\n", - "HRV-GDP\n", - "Statistical=0.976, p=0.703\n", + "DEU-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "HRV-Education GExp\n", - "Statistical=0.931, p=0.048\n", - "HRV-Workers high education\n", - "Statistical=0.827, p=0.000\n", - "HRV-Literacy rate\n", - "Statistical=0.835, p=0.000\n", - "HRV-Net migration\n", - "Statistical=0.878, p=0.002\n", - "HRV-Mortality-infants\n", - "Statistical=0.855, p=0.001\n", - "HRV-Health services use\n", - "Statistical=0.893, p=0.005\n", - "HRV-R&D GExp\n", - "Statistical=0.817, p=0.000\n", - "HRV-Ninis\n", - "Statistical=0.822, p=0.000\n", - "HRV-Suicide\n", - "Statistical=0.910, p=0.013\n", - "HRV-International taxes\n", - "Statistical=0.716, p=0.000\n", - "HRV-Alcohol per capita\n", - "Statistical=0.846, p=0.000\n", - "POL-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.938, p=0.064\n", "Data is NORMAL ( H0 not denied )\n", - "POL-Renewable electricity\n", - "Statistical=0.813, p=0.000\n", - "POL-Employment-agriculture\n", - "Statistical=0.848, p=0.000\n", - "POL-Employment-industry\n", - "Statistical=0.935, p=0.060\n", + "DEU-Export unit value index (2000 = 100)\n", + "Statistical=0.876, p=0.002\n", + "DEU-Export value index (2000 = 100)\n", + "Statistical=0.754, p=0.000\n", + "DEU-Export volume index (2000 = 100)\n", + "Statistical=0.773, p=0.000\n", + "DEU-Exports of goods and services (% of GDP)\n", + "Statistical=0.778, p=0.000\n", + "DEU-Exports of goods and services (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "POL-Employment-services\n", - "Statistical=0.959, p=0.275\n", + "DEU-Exports of goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "POL-Exports-G&S\n", - "Statistical=0.884, p=0.003\n", - "POL-Fertility rate\n", - "Statistical=0.877, p=0.002\n", - "POL-Foreign investment\n", - "Statistical=0.858, p=0.001\n", - "POL-GDP\n", - "Statistical=0.904, p=0.009\n", - "POL-Education GExp\n", - "Statistical=0.974, p=0.628\n", + "DEU-External balance on goods and services (% of GDP)\n", + "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "POL-Workers high education\n", - "Statistical=0.879, p=0.002\n", - "POL-Literacy rate\n", - "Statistical=0.836, p=0.000\n", - "POL-Net migration\n", - "Statistical=0.753, p=0.000\n", - "POL-Mortality-infants\n", + "DEU-External balance on goods and services (current US$)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "POL-Health services use\n", - "Statistical=0.797, p=0.000\n", - "POL-R&D GExp\n", - "Statistical=0.930, p=0.045\n", - "POL-Ninis\n", - "Statistical=0.805, p=0.000\n", - "POL-Suicide\n", - "Statistical=0.801, p=0.000\n", - "POL-International taxes\n", - "Statistical=0.733, p=0.000\n", - "POL-Alcohol per capita\n", - "Statistical=0.795, p=0.000\n", - "GRC-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "GRC-Renewable electricity\n", - "Statistical=0.808, p=0.000\n", - "GRC-Employment-agriculture\n", - "Statistical=0.825, p=0.000\n", - "GRC-Employment-industry\n", - "Statistical=0.837, p=0.000\n", - "GRC-Employment-services\n", - "Statistical=0.819, p=0.000\n", - "GRC-Exports-G&S\n", - "Statistical=0.917, p=0.019\n", - "GRC-Fertility rate\n", - "Statistical=0.903, p=0.008\n", - "GRC-Foreign investment\n", - "Statistical=0.890, p=0.004\n", - "GRC-GDP\n", - "Statistical=0.941, p=0.089\n", + "DEU-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.948, p=0.126\n", "Data is NORMAL ( H0 not denied )\n", - "GRC-Education GExp\n", - "Statistical=0.944, p=0.105\n", + "DEU-Final consumption expenditure (% of GDP)\n", + "Statistical=0.948, p=0.126\n", "Data is NORMAL ( H0 not denied )\n", - "GRC-Workers high education\n", - "Statistical=0.943, p=0.097\n", + "DEU-Final consumption expenditure (current US$)\n", + "Statistical=0.934, p=0.050\n", + "DEU-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.954, p=0.183\n", "Data is NORMAL ( H0 not denied )\n", - "GRC-Literacy rate\n", - "Statistical=0.816, p=0.000\n", - "GRC-Net migration\n", - "Statistical=0.908, p=0.012\n", - "GRC-Mortality-infants\n", - "Statistical=0.885, p=0.003\n", - "GRC-Health services use\n", - "Statistical=0.883, p=0.003\n", - "GRC-R&D GExp\n", - "Statistical=0.916, p=0.019\n", - "GRC-Ninis\n", - "Statistical=0.809, p=0.000\n", - "GRC-Suicide\n", - "Statistical=0.815, p=0.000\n", - "GRC-International taxes\n", - "Statistical=0.791, p=0.000\n", - "GRC-Alcohol per capita\n", - "Statistical=0.809, p=0.000\n", - "AUT-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "DEU-Firms offering formal training (% of firms)\n", + "Statistical=0.964, p=0.356\n", "Data is NORMAL ( H0 not denied )\n", - "AUT-Renewable electricity\n", - "Statistical=0.807, p=0.000\n", - "AUT-Employment-agriculture\n", - "Statistical=0.979, p=0.780\n", + "DEU-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.875, p=0.001\n", + "DEU-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.844, p=0.000\n", + "DEU-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.899, p=0.006\n", + "DEU-Fixed broadband subscriptions\n", + "Statistical=0.894, p=0.004\n", + "DEU-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.820, p=0.000\n", + "DEU-Fixed telephone subscriptions\n", + "Statistical=0.848, p=0.000\n", + "DEU-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.728, p=0.000\n", + "DEU-Food exports (% of merchandise exports)\n", + "Statistical=0.949, p=0.131\n", "Data is NORMAL ( H0 not denied )\n", - "AUT-Employment-industry\n", - "Statistical=0.935, p=0.053\n", + "DEU-Food imports (% of merchandise imports)\n", + "Statistical=0.932, p=0.045\n", + "DEU-Food production index (2014-2016 = 100)\n", + "Statistical=0.908, p=0.010\n", + "DEU-Forest area (% of land area)\n", + "Statistical=0.912, p=0.013\n", + "DEU-Forest area (sq. km)\n", + "Statistical=0.836, p=0.000\n", + "DEU-Forest rents (% of GDP)\n", + "Statistical=0.966, p=0.389\n", "Data is NORMAL ( H0 not denied )\n", - "AUT-Employment-services\n", - "Statistical=0.882, p=0.002\n", - "AUT-Exports-G&S\n", - "Statistical=0.897, p=0.005\n", - "AUT-Fertility rate\n", - "Statistical=0.791, p=0.000\n", - "AUT-Foreign investment\n", - "Statistical=0.856, p=0.001\n", - "AUT-GDP\n", - "Statistical=0.980, p=0.804\n", + "DEU-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.846, p=0.000\n", + "DEU-Fuel exports (% of merchandise exports)\n", + "Statistical=0.790, p=0.000\n", + "DEU-Fuel imports (% of merchandise imports)\n", + "Statistical=0.807, p=0.000\n", + "DEU-GDP (current US$)\n", + "Statistical=0.960, p=0.277\n", "Data is NORMAL ( H0 not denied )\n", - "AUT-Education GExp\n", - "Statistical=0.793, p=0.000\n", - "AUT-Workers high education\n", - "Statistical=0.854, p=0.000\n", - "AUT-Literacy rate\n", - "Statistical=0.806, p=0.000\n", - "AUT-Net migration\n", - "Statistical=0.650, p=0.000\n", - "AUT-Mortality-infants\n", - "Statistical=nan, p=1.000\n", + "DEU-GDP deflator (base year varies by country)\n", + "Statistical=0.976, p=0.662\n", "Data is NORMAL ( H0 not denied )\n", - "AUT-Health services use\n", - "Statistical=0.803, p=0.000\n", - "AUT-R&D GExp\n", - "Statistical=0.939, p=0.069\n", + "DEU-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.940, p=0.074\n", "Data is NORMAL ( H0 not denied )\n", - "AUT-Ninis\n", - "Statistical=0.784, p=0.000\n", - "AUT-Suicide\n", - "Statistical=0.881, p=0.002\n", - "AUT-International taxes\n", - "Statistical=0.826, p=0.000\n", - "AUT-Alcohol per capita\n", + "DEU-GDP growth (annual %)\n", + "Statistical=0.977, p=0.711\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-GDP per capita (current US$)\n", + "Statistical=0.827, p=0.000\n", + "DEU-GDP per capita growth (annual %)\n", + "Statistical=0.740, p=0.000\n", + "DEU-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.893, p=0.004\n", + "DEU-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.866, p=0.001\n", + "DEU-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.849, p=0.000\n", + "DEU-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.839, p=0.000\n", + "DEU-GNI (current US$)\n", + "Statistical=0.865, p=0.001\n", + "DEU-GNI growth (annual %)\n", + "Statistical=0.794, p=0.000\n", + "DEU-GNI per capita growth (annual %)\n", "Statistical=0.838, p=0.000\n", - "NLD-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-General government final consumption expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "NLD-Renewable electricity\n", - "Statistical=0.814, p=0.000\n", - "NLD-Employment-agriculture\n", - "Statistical=0.945, p=0.115\n", + "DEU-General government final consumption expenditure (current US$)\n", + "Statistical=0.835, p=0.000\n", + "DEU-Gini index\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Goods exports (BoP, current US$)\n", + "Statistical=0.822, p=0.000\n", + "DEU-Goods imports (BoP, current US$)\n", + "Statistical=0.824, p=0.000\n", + "DEU-Grants and other revenue (% of revenue)\n", + "Statistical=0.798, p=0.000\n", + "DEU-Gross capital formation (% of GDP)\n", + "Statistical=0.893, p=0.004\n", + "DEU-Gross capital formation (current US$)\n", + "Statistical=0.911, p=0.012\n", + "DEU-Gross domestic savings (% of GDP)\n", + "Statistical=0.846, p=0.000\n", + "DEU-Gross domestic savings (current US$)\n", + "Statistical=0.906, p=0.009\n", + "DEU-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "NLD-Employment-industry\n", - "Statistical=0.935, p=0.059\n", + "DEU-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "NLD-Employment-services\n", - "Statistical=0.910, p=0.013\n", - "NLD-Exports-G&S\n", - "Statistical=0.921, p=0.025\n", - "NLD-Fertility rate\n", - "Statistical=0.895, p=0.005\n", - "NLD-Foreign investment\n", - "Statistical=0.874, p=0.002\n", - "NLD-GDP\n", - "Statistical=0.939, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Education GExp\n", - "Statistical=0.914, p=0.017\n", - "NLD-Workers high education\n", - "Statistical=0.863, p=0.001\n", - "NLD-Literacy rate\n", - "Statistical=0.841, p=0.000\n", - "NLD-Net migration\n", - "Statistical=0.883, p=0.003\n", - "NLD-Mortality-infants\n", - "Statistical=nan, p=1.000\n", + "DEU-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "NLD-Health services use\n", - "Statistical=0.903, p=0.008\n", - "NLD-R&D GExp\n", - "Statistical=0.811, p=0.000\n", - "NLD-Ninis\n", - "Statistical=0.848, p=0.000\n", - "NLD-Suicide\n", - "Statistical=0.921, p=0.025\n", - "NLD-International taxes\n", - "Statistical=0.849, p=0.000\n", - "NLD-Alcohol per capita\n", - "Statistical=0.787, p=0.000\n", - "IRQ-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "IRQ-Renewable electricity\n", - "Statistical=0.838, p=0.000\n", - "IRQ-Employment-agriculture\n", - "Statistical=nan, p=1.000\n", + "DEU-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.940, p=0.075\n", "Data is NORMAL ( H0 not denied )\n", - "IRQ-Employment-industry\n", - "Statistical=0.916, p=0.019\n", - "IRQ-Employment-services\n", - "Statistical=0.904, p=0.009\n", - "IRQ-Exports-G&S\n", - "Statistical=0.904, p=0.009\n", - "IRQ-Fertility rate\n", - "Statistical=0.741, p=0.000\n", - "IRQ-Foreign investment\n", - "Statistical=0.901, p=0.007\n", - "IRQ-GDP\n", - "Statistical=0.965, p=0.390\n", + "DEU-Gross savings (% of GDP)\n", + "Statistical=0.914, p=0.015\n", + "DEU-Gross savings (current US$)\n", + "Statistical=0.970, p=0.510\n", "Data is NORMAL ( H0 not denied )\n", - "IRQ-Education GExp\n", - "Statistical=0.744, p=0.000\n", - "IRQ-Workers high education\n", - "Statistical=0.869, p=0.001\n", - "IRQ-Literacy rate\n", - "Statistical=0.815, p=0.000\n", - "IRQ-Net migration\n", - "Statistical=0.442, p=0.000\n", - "IRQ-Mortality-infants\n", - "Statistical=0.734, p=0.000\n", - "IRQ-Health services use\n", - "Statistical=0.862, p=0.001\n", - "IRQ-R&D GExp\n", - "Statistical=0.961, p=0.314\n", + "DEU-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.813, p=0.000\n", + "DEU-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.926, p=0.030\n", + "DEU-High-technology exports (% of manufactured exports)\n", + "Statistical=0.819, p=0.000\n", + "DEU-High-technology exports (current US$)\n", + "Statistical=0.916, p=0.016\n", + "DEU-Hospital beds (per 1,000 people)\n", + "Statistical=0.942, p=0.088\n", "Data is NORMAL ( H0 not denied )\n", - "IRQ-Ninis\n", - "Statistical=0.674, p=0.000\n", - "IRQ-Suicide\n", - "Statistical=0.661, p=0.000\n", - "IRQ-International taxes\n", - "Statistical=nan, p=1.000\n", + "DEU-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.920, p=0.021\n", + "DEU-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.850, p=0.000\n", + "DEU-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.850, p=0.000\n", + "DEU-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.850, p=0.000\n", + "DEU-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "IRQ-Alcohol per capita\n", - "Statistical=0.837, p=0.000\n", - "QAT-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "QAT-Renewable electricity\n", - "Statistical=0.719, p=0.000\n", - "QAT-Employment-agriculture\n", - "Statistical=0.876, p=0.002\n", - "QAT-Employment-industry\n", - "Statistical=0.873, p=0.002\n", - "QAT-Employment-services\n", - "Statistical=0.860, p=0.001\n", - "QAT-Exports-G&S\n", - "Statistical=0.858, p=0.001\n", - "QAT-Fertility rate\n", - "Statistical=0.616, p=0.000\n", - "QAT-Foreign investment\n", - "Statistical=0.844, p=0.000\n", - "QAT-GDP\n", - "Statistical=0.879, p=0.002\n", - "QAT-Education GExp\n", - "Statistical=0.581, p=0.000\n", - "QAT-Workers high education\n", - "Statistical=0.823, p=0.000\n", - "QAT-Literacy rate\n", + "DEU-Human capital index (HCI), female, upper bound (scale 0-1)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "QAT-Net migration\n", + "DEU-Human capital index (HCI), lower bound (scale 0-1)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "QAT-Mortality-infants\n", - "Statistical=0.686, p=0.000\n", - "QAT-Health services use\n", - "Statistical=0.922, p=0.026\n", - "QAT-R&D GExp\n", - "Statistical=0.894, p=0.005\n", - "QAT-Ninis\n", + "DEU-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.969, p=0.472\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.847, p=0.000\n", + "DEU-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.840, p=0.000\n", + "DEU-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.877, p=0.002\n", + "DEU-ICT goods exports (% of total goods exports)\n", + "Statistical=0.885, p=0.003\n", + "DEU-ICT goods imports (% total goods imports)\n", + "Statistical=0.886, p=0.003\n", + "DEU-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.829, p=0.000\n", + "DEU-ICT service exports (BoP, current US$)\n", + "Statistical=0.815, p=0.000\n", + "DEU-Import unit value index (2000 = 100)\n", + "Statistical=0.826, p=0.000\n", + "DEU-Import value index (2000 = 100)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "QAT-Suicide\n", - "Statistical=0.589, p=0.000\n", - "QAT-International taxes\n", + "DEU-Import volume index (2000 = 100)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "QAT-Alcohol per capita\n", - "Statistical=0.844, p=0.000\n", - "ARE-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Imports of goods and services (% of GDP)\n", + "Statistical=0.969, p=0.485\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.952, p=0.164\n", "Data is NORMAL ( H0 not denied )\n", - "ARE-Renewable electricity\n", - "Statistical=0.850, p=0.001\n", - "ARE-Employment-agriculture\n", + "DEU-Imports of goods and services (current US$)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "ARE-Employment-industry\n", - "Statistical=0.867, p=0.001\n", - "ARE-Employment-services\n", - "Statistical=0.902, p=0.008\n", - "ARE-Exports-G&S\n", - "Statistical=0.874, p=0.002\n", - "ARE-Fertility rate\n", + "DEU-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "DEU-Income share held by highest 10%\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "ARE-Foreign investment\n", - "Statistical=0.780, p=0.000\n", - "ARE-GDP\n", - "Statistical=0.904, p=0.009\n", - "ARE-Education GExp\n", + "DEU-Income share held by highest 20%\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "ARE-Workers high education\n", - "Statistical=0.855, p=0.001\n", - "ARE-Literacy rate\n", - "Statistical=0.742, p=0.000\n", - "ARE-Net migration\n", - "Statistical=0.580, p=0.000\n", - "ARE-Mortality-infants\n", - "Statistical=0.761, p=0.000\n", - "ARE-Health services use\n", - "Statistical=0.920, p=0.024\n", - "ARE-R&D GExp\n", - "Statistical=0.893, p=0.005\n", - "ARE-Ninis\n", - "Statistical=nan, p=1.000\n", + "DEU-Income share held by lowest 10%\n", + "Statistical=0.800, p=0.000\n", + "DEU-Income share held by lowest 20%\n", + "Statistical=0.800, p=0.000\n", + "DEU-Income share held by second 20%\n", + "Statistical=0.815, p=0.000\n", + "DEU-Income share held by third 20%\n", + "Statistical=0.799, p=0.000\n", + "DEU-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.805, p=0.000\n", + "DEU-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.824, p=0.000\n", + "DEU-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.814, p=0.000\n", + "DEU-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.799, p=0.000\n", + "DEU-Individuals using the Internet (% of population)\n", + "Statistical=0.786, p=0.000\n", + "DEU-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.848, p=0.000\n", + "DEU-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "ARE-Suicide\n", + "DEU-Insurance and financial services (% of commercial service imports)\n", "Statistical=0.575, p=0.000\n", - "ARE-International taxes\n", - "Statistical=nan, p=1.000\n", + "DEU-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.814, p=0.000\n", + "DEU-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.785, p=0.000\n", + "DEU-Intentional homicides (per 100,000 people)\n", + "Statistical=0.803, p=0.000\n", + "DEU-Interest payments (% of revenue)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "ARE-Alcohol per capita\n", - "Statistical=0.772, p=0.000\n", - "SAU-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Renewable electricity\n", - "Statistical=0.903, p=0.009\n", - "SAU-Employment-agriculture\n", - "Statistical=0.911, p=0.014\n", - "SAU-Employment-industry\n", - "Statistical=0.936, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Employment-services\n", - "Statistical=0.915, p=0.018\n", - "SAU-Exports-G&S\n", - "Statistical=0.918, p=0.021\n", - "SAU-Fertility rate\n", - "Statistical=0.909, p=0.012\n", - "SAU-Foreign investment\n", - "Statistical=0.880, p=0.002\n", - "SAU-GDP\n", - "Statistical=0.922, p=0.027\n", - "SAU-Education GExp\n", - "Statistical=0.887, p=0.003\n", - "SAU-Workers high education\n", - "Statistical=0.838, p=0.000\n", - "SAU-Literacy rate\n", - "Statistical=0.808, p=0.000\n", - "SAU-Net migration\n", - "Statistical=0.664, p=0.000\n", - "SAU-Mortality-infants\n", - "Statistical=0.919, p=0.022\n", - "SAU-Health services use\n", - "Statistical=0.913, p=0.016\n", - "SAU-R&D GExp\n", - "Statistical=0.930, p=0.043\n", - "SAU-Ninis\n", - "Statistical=0.749, p=0.000\n", - "SAU-Suicide\n", - "Statistical=0.640, p=0.000\n", - "SAU-International taxes\n", - "Statistical=nan, p=1.000\n", + "DEU-International migrant stock (% of population)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "SAU-Alcohol per capita\n", - "Statistical=0.778, p=0.000\n", - "AZE-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "DEU-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "AZE-Renewable electricity\n", + "DEU-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.750, p=0.000\n", + "DEU-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.866, p=0.001\n", + "DEU-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.779, p=0.000\n", + "DEU-Land area (sq. km)\n", + "Statistical=0.775, p=0.000\n", + "DEU-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.882, p=0.002\n", + "DEU-Land under cereal production (hectares)\n", + "Statistical=0.782, p=0.000\n", + "DEU-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.891, p=0.004\n", + "DEU-Lifetime risk of maternal death (%)\n", "Statistical=0.927, p=0.032\n", - "AZE-Employment-agriculture\n", - "Statistical=0.841, p=0.000\n", - "AZE-Employment-industry\n", - "Statistical=0.933, p=0.047\n", - "AZE-Employment-services\n", + "DEU-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.884, p=0.002\n", + "DEU-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.902, p=0.007\n", + "DEU-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=0.820, p=0.000\n", + "DEU-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.929, p=0.036\n", + "DEU-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.920, p=0.021\n", + "DEU-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.826, p=0.000\n", + "DEU-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.824, p=0.000\n", + "DEU-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.948, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.895, p=0.005\n", + "DEU-Low-birthweight babies (% of births)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Lower secondary school starting age (years)\n", "Statistical=0.906, p=0.009\n", - "AZE-Exports-G&S\n", - "Statistical=0.843, p=0.000\n", - "AZE-Fertility rate\n", - "Statistical=0.800, p=0.000\n", - "AZE-Foreign investment\n", - "Statistical=0.851, p=0.000\n", - "AZE-GDP\n", - "Statistical=0.913, p=0.014\n", - "AZE-Education GExp\n", - "Statistical=0.933, p=0.048\n", - "AZE-Workers high education\n", - "Statistical=0.854, p=0.001\n", - "AZE-Literacy rate\n", - "Statistical=0.808, p=0.000\n", - "AZE-Net migration\n", - "Statistical=0.833, p=0.000\n", - "AZE-Mortality-infants\n", - "Statistical=0.687, p=0.000\n", - "AZE-Health services use\n", - "Statistical=0.874, p=0.001\n", - "AZE-R&D GExp\n", - "Statistical=0.802, p=0.000\n", - "AZE-Ninis\n", - "Statistical=nan, p=1.000\n", + "DEU-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.890, p=0.004\n", + "DEU-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.878, p=0.002\n", + "DEU-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.877, p=0.002\n", + "DEU-Marine protected areas (% of territorial waters)\n", + "Statistical=0.870, p=0.001\n", + "DEU-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.879, p=0.002\n", + "DEU-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.887, p=0.003\n", + "DEU-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.875, p=0.001\n", + "DEU-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.894, p=0.004\n", + "DEU-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.877, p=0.002\n", + "DEU-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.881, p=0.002\n", + "DEU-Merchandise exports (current US$)\n", + "Statistical=0.975, p=0.652\n", "Data is NORMAL ( H0 not denied )\n", - "AZE-Suicide\n", - "Statistical=0.860, p=0.001\n", - "AZE-International taxes\n", - "Statistical=nan, p=1.000\n", + "DEU-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.974, p=0.626\n", "Data is NORMAL ( H0 not denied )\n", - "AZE-Alcohol per capita\n", - "Statistical=0.866, p=0.001\n", - "YEM-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.930, p=0.038\n", + "DEU-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.929, p=0.037\n", + "DEU-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.957, p=0.226\n", "Data is NORMAL ( H0 not denied )\n", - "YEM-Renewable electricity\n", - "Statistical=0.740, p=0.000\n", - "YEM-Employment-agriculture\n", - "Statistical=0.730, p=0.000\n", - "YEM-Employment-industry\n", - "Statistical=0.820, p=0.000\n", - "YEM-Employment-services\n", - "Statistical=0.942, p=0.091\n", + "DEU-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.945, p=0.103\n", "Data is NORMAL ( H0 not denied )\n", - "YEM-Exports-G&S\n", - "Statistical=0.880, p=0.002\n", - "YEM-Fertility rate\n", - "Statistical=0.615, p=0.000\n", - "YEM-Foreign investment\n", - "Statistical=0.529, p=0.000\n", - "YEM-GDP\n", - "Statistical=0.931, p=0.046\n", - "YEM-Education GExp\n", - "Statistical=0.707, p=0.000\n", - "YEM-Workers high education\n", - "Statistical=0.900, p=0.007\n", - "YEM-Literacy rate\n", - "Statistical=0.857, p=0.001\n", - "YEM-Net migration\n", - "Statistical=nan, p=1.000\n", + "DEU-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.943, p=0.093\n", "Data is NORMAL ( H0 not denied )\n", - "YEM-Mortality-infants\n", - "Statistical=0.722, p=0.000\n", - "YEM-Health services use\n", - "Statistical=0.848, p=0.000\n", - "YEM-R&D GExp\n", - "Statistical=0.897, p=0.006\n", - "YEM-Ninis\n", + "DEU-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.956, p=0.215\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.957, p=0.227\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.957, p=0.225\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.870, p=0.001\n", + "DEU-Merchandise imports (current US$)\n", + "Statistical=0.802, p=0.000\n", + "DEU-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.763, p=0.000\n", + "DEU-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.923, p=0.026\n", + "DEU-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.911, p=0.012\n", + "DEU-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.797, p=0.000\n", + "DEU-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.809, p=0.000\n", + "DEU-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.826, p=0.000\n", + "DEU-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.924, p=0.027\n", + "DEU-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.866, p=0.001\n", + "DEU-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.847, p=0.000\n", + "DEU-Merchandise trade (% of GDP)\n", + "Statistical=0.972, p=0.547\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Methane emissions (% change from 1990)\n", + "Statistical=0.916, p=0.016\n", + "DEU-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.916, p=0.016\n", + "DEU-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.918, p=0.019\n", + "DEU-Military expenditure (% of GDP)\n", + "Statistical=0.851, p=0.000\n", + "DEU-Military expenditure (% of general government expenditure)\n", + "Statistical=0.837, p=0.000\n", + "DEU-Military expenditure (current USD)\n", + "Statistical=0.861, p=0.001\n", + "DEU-Mineral rents (% of GDP)\n", + "Statistical=0.865, p=0.001\n", + "DEU-Mobile cellular subscriptions\n", + "Statistical=0.892, p=0.004\n", + "DEU-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.852, p=0.000\n", + "DEU-Monetary Sector credit to private sector (% GDP)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "YEM-Suicide\n", + "DEU-Mortality caused by road traffic injury (per 100,000 population)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "YEM-International taxes\n", + "DEU-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "YEM-Alcohol per capita\n", - "Statistical=0.863, p=0.001\n", - "OMN-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Natural gas rents (% of GDP)\n", + "Statistical=0.927, p=0.031\n", + "DEU-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.949, p=0.132\n", "Data is NORMAL ( H0 not denied )\n", - "OMN-Renewable electricity\n", - "Statistical=0.706, p=0.000\n", - "OMN-Employment-agriculture\n", - "Statistical=0.945, p=0.116\n", + "DEU-Net capital account (BoP, current US$)\n", + "Statistical=0.971, p=0.515\n", "Data is NORMAL ( H0 not denied )\n", - "OMN-Employment-industry\n", - "Statistical=0.935, p=0.062\n", + "DEU-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.912, p=0.013\n", + "DEU-Net financial account (BoP, current US$)\n", + "Statistical=0.955, p=0.203\n", "Data is NORMAL ( H0 not denied )\n", - "OMN-Employment-services\n", - "Statistical=0.840, p=0.000\n", - "OMN-Exports-G&S\n", - "Statistical=0.846, p=0.000\n", - "OMN-Fertility rate\n", - "Statistical=0.882, p=0.003\n", - "OMN-Foreign investment\n", - "Statistical=0.880, p=0.002\n", - "OMN-GDP\n", - "Statistical=0.733, p=0.000\n", - "OMN-Education GExp\n", - "Statistical=0.820, p=0.000\n", - "OMN-Workers high education\n", - "Statistical=0.828, p=0.000\n", - "OMN-Literacy rate\n", - "Statistical=0.798, p=0.000\n", - "OMN-Net migration\n", - "Statistical=nan, p=1.000\n", + "DEU-Net migration\n", + "Statistical=0.973, p=0.595\n", "Data is NORMAL ( H0 not denied )\n", - "OMN-Mortality-infants\n", - "Statistical=0.788, p=0.000\n", - "OMN-Health services use\n", - "Statistical=0.815, p=0.000\n", - "OMN-R&D GExp\n", - "Statistical=0.939, p=0.076\n", + "DEU-Net primary income (BoP, current US$)\n", + "Statistical=0.973, p=0.595\n", "Data is NORMAL ( H0 not denied )\n", - "OMN-Ninis\n", - "Statistical=nan, p=1.000\n", + "DEU-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.963, p=0.337\n", "Data is NORMAL ( H0 not denied )\n", - "OMN-Suicide\n", - "Statistical=0.601, p=0.000\n", - "OMN-International taxes\n", - "Statistical=nan, p=1.000\n", + "DEU-Net secondary income (BoP, current US$)\n", + "Statistical=0.886, p=0.003\n", + "DEU-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "OMN-Alcohol per capita\n", - "Statistical=0.852, p=0.001\n", - "DZA-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "DEU-Net trade in goods (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "DZA-Renewable electricity\n", - "Statistical=0.845, p=0.000\n", - "DZA-Employment-agriculture\n", - "Statistical=0.725, p=0.000\n", - "DZA-Employment-industry\n", - "Statistical=0.827, p=0.000\n", - "DZA-Employment-services\n", - "Statistical=0.782, p=0.000\n", - "DZA-Exports-G&S\n", - "Statistical=0.904, p=0.008\n", - "DZA-Fertility rate\n", - "Statistical=0.781, p=0.000\n", - "DZA-Foreign investment\n", - "Statistical=0.896, p=0.005\n", - "DZA-GDP\n", - "Statistical=0.922, p=0.023\n", - "DZA-Education GExp\n", - "Statistical=0.968, p=0.446\n", + "DEU-Net trade in goods and services (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "DZA-Workers high education\n", - "Statistical=0.863, p=0.001\n", - "DZA-Literacy rate\n", - "Statistical=0.851, p=0.000\n", - "DZA-Net migration\n", - "Statistical=nan, p=1.000\n", + "DEU-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "DZA-Mortality-infants\n", - "Statistical=0.808, p=0.000\n", - "DZA-Health services use\n", - "Statistical=0.783, p=0.000\n", - "DZA-R&D GExp\n", - "Statistical=0.891, p=0.004\n", - "DZA-Ninis\n", - "Statistical=0.662, p=0.000\n", - "DZA-Suicide\n", - "Statistical=0.863, p=0.001\n", - "DZA-International taxes\n", - "Statistical=nan, p=1.000\n", + "DEU-New businesses registered (number)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "DZA-Alcohol per capita\n", - "Statistical=0.813, p=0.000\n", - "EGY-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "EGY-Renewable electricity\n", - "Statistical=0.827, p=0.000\n", - "EGY-Employment-agriculture\n", - "Statistical=0.658, p=0.000\n", - "EGY-Employment-industry\n", - "Statistical=0.944, p=0.108\n", + "DEU-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.815, p=0.000\n", + "DEU-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.808, p=0.000\n", + "DEU-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.933, p=0.048\n", + "DEU-Number of deaths ages 10-14 years\n", + "Statistical=0.923, p=0.025\n", + "DEU-Number of deaths ages 15-19 years\n", + "Statistical=0.937, p=0.062\n", "Data is NORMAL ( H0 not denied )\n", - "EGY-Employment-services\n", - "Statistical=0.919, p=0.022\n", - "EGY-Exports-G&S\n", - "Statistical=0.952, p=0.181\n", + "DEU-Number of deaths ages 20-24 years\n", + "Statistical=0.930, p=0.039\n", + "DEU-Number of deaths ages 5-9 years\n", + "Statistical=0.989, p=0.982\n", "Data is NORMAL ( H0 not denied )\n", - "EGY-Fertility rate\n", - "Statistical=0.919, p=0.022\n", - "EGY-Foreign investment\n", - "Statistical=0.855, p=0.001\n", - "EGY-GDP\n", - "Statistical=0.881, p=0.002\n", - "EGY-Education GExp\n", - "Statistical=0.874, p=0.002\n", - "EGY-Workers high education\n", - "Statistical=0.868, p=0.001\n", - "EGY-Literacy rate\n", - "Statistical=0.855, p=0.001\n", - "EGY-Net migration\n", - "Statistical=0.880, p=0.002\n", - "EGY-Mortality-infants\n", - "Statistical=0.784, p=0.000\n", - "EGY-Health services use\n", - "Statistical=0.827, p=0.000\n", - "EGY-R&D GExp\n", - "Statistical=0.926, p=0.034\n", - "EGY-Ninis\n", - "Statistical=0.814, p=0.000\n", - "EGY-Suicide\n", - "Statistical=0.763, p=0.000\n", - "EGY-International taxes\n", - "Statistical=0.804, p=0.000\n", - "EGY-Alcohol per capita\n", - "Statistical=0.823, p=0.000\n", - "LBY-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Number of infant deaths\n", + "Statistical=0.825, p=0.000\n", + "DEU-Number of maternal deaths\n", + "Statistical=0.972, p=0.548\n", "Data is NORMAL ( H0 not denied )\n", - "LBY-Renewable electricity\n", - "Statistical=0.887, p=0.003\n", - "LBY-Employment-agriculture\n", - "Statistical=nan, p=1.000\n", + "DEU-Number of neonatal deaths\n", + "Statistical=0.967, p=0.413\n", "Data is NORMAL ( H0 not denied )\n", - "LBY-Employment-industry\n", - "Statistical=0.917, p=0.020\n", - "LBY-Employment-services\n", - "Statistical=0.911, p=0.014\n", - "LBY-Exports-G&S\n", - "Statistical=0.869, p=0.001\n", - "LBY-Fertility rate\n", - "Statistical=0.865, p=0.001\n", - "LBY-Foreign investment\n", - "Statistical=0.831, p=0.000\n", - "LBY-GDP\n", - "Statistical=0.813, p=0.000\n", - "LBY-Education GExp\n", - "Statistical=0.975, p=0.673\n", + "DEU-Number of under-five deaths\n", + "Statistical=0.966, p=0.405\n", "Data is NORMAL ( H0 not denied )\n", - "LBY-Workers high education\n", - "Statistical=0.849, p=0.000\n", - "LBY-Literacy rate\n", - "Statistical=0.826, p=0.000\n", - "LBY-Net migration\n", - "Statistical=nan, p=1.000\n", + "DEU-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.972, p=0.559\n", "Data is NORMAL ( H0 not denied )\n", - "LBY-Mortality-infants\n", - "Statistical=0.722, p=0.000\n", - "LBY-Health services use\n", - "Statistical=0.954, p=0.195\n", + "DEU-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.936, p=0.057\n", "Data is NORMAL ( H0 not denied )\n", - "LBY-R&D GExp\n", - "Statistical=0.946, p=0.122\n", + "DEU-Oil rents (% of GDP)\n", + "Statistical=0.888, p=0.003\n", + "DEU-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.879, p=0.002\n", + "DEU-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.979, p=0.769\n", "Data is NORMAL ( H0 not denied )\n", - "LBY-Ninis\n", - "Statistical=nan, p=1.000\n", + "DEU-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.902, p=0.007\n", + "DEU-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.929, p=0.037\n", + "DEU-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.919, p=0.020\n", + "DEU-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.962, p=0.311\n", "Data is NORMAL ( H0 not denied )\n", - "LBY-Suicide\n", - "Statistical=nan, p=1.000\n", + "DEU-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.962, p=0.311\n", "Data is NORMAL ( H0 not denied )\n", - "LBY-International taxes\n", - "Statistical=nan, p=1.000\n", + "DEU-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.955, p=0.205\n", "Data is NORMAL ( H0 not denied )\n", - "LBY-Alcohol per capita\n", - "Statistical=0.927, p=0.037\n", - "ISR-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "DEU-People using at least basic drinking water services (% of population)\n", + "Statistical=0.887, p=0.003\n", + "DEU-People using at least basic sanitation services (% of population)\n", + "Statistical=0.967, p=0.425\n", "Data is NORMAL ( H0 not denied )\n", - "ISR-Renewable electricity\n", - "Statistical=0.814, p=0.000\n", - "ISR-Employment-agriculture\n", - "Statistical=0.830, p=0.000\n", - "ISR-Employment-industry\n", - "Statistical=0.892, p=0.004\n", - "ISR-Employment-services\n", - "Statistical=0.850, p=0.000\n", - "ISR-Exports-G&S\n", - "Statistical=0.861, p=0.001\n", - "ISR-Fertility rate\n", - "Statistical=0.890, p=0.003\n", - "ISR-Foreign investment\n", - "Statistical=0.913, p=0.014\n", - "ISR-GDP\n", - "Statistical=0.962, p=0.307\n", + "DEU-People using safely managed sanitation services (% of population)\n", + "Statistical=0.967, p=0.425\n", "Data is NORMAL ( H0 not denied )\n", - "ISR-Education GExp\n", - "Statistical=0.855, p=0.001\n", - "ISR-Workers high education\n", - "Statistical=0.845, p=0.000\n", - "ISR-Literacy rate\n", - "Statistical=0.656, p=0.000\n", - "ISR-Net migration\n", - "Statistical=0.915, p=0.015\n", - "ISR-Mortality-infants\n", - "Statistical=nan, p=1.000\n", + "DEU-Permanent cropland (% of land area)\n", + "Statistical=0.968, p=0.434\n", "Data is NORMAL ( H0 not denied )\n", - "ISR-Health services use\n", - "Statistical=0.909, p=0.010\n", - "ISR-R&D GExp\n", - "Statistical=0.898, p=0.005\n", - "ISR-Ninis\n", - "Statistical=0.537, p=0.000\n", - "ISR-Suicide\n", - "Statistical=0.818, p=0.000\n", - "ISR-International taxes\n", - "Statistical=0.680, p=0.000\n", - "ISR-Alcohol per capita\n", - "Statistical=0.844, p=0.000\n", - "TUR-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "DEU-Physicians (per 1,000 people)\n", + "Statistical=0.938, p=0.067\n", "Data is NORMAL ( H0 not denied )\n", - "TUR-Renewable electricity\n", - "Statistical=0.866, p=0.001\n", - "TUR-Employment-agriculture\n", - "Statistical=0.754, p=0.000\n", - "TUR-Employment-industry\n", - "Statistical=0.916, p=0.016\n", - "TUR-Employment-services\n", - "Statistical=0.895, p=0.005\n", - "TUR-Exports-G&S\n", - "Statistical=0.941, p=0.082\n", + "DEU-Population ages 0-14 (% of total population)\n", + "Statistical=0.938, p=0.067\n", "Data is NORMAL ( H0 not denied )\n", - "TUR-Fertility rate\n", - "Statistical=0.908, p=0.010\n", - "TUR-Foreign investment\n", - "Statistical=0.877, p=0.002\n", - "TUR-GDP\n", - "Statistical=0.878, p=0.002\n", - "TUR-Education GExp\n", - "Statistical=0.859, p=0.001\n", - "TUR-Workers high education\n", - "Statistical=0.861, p=0.001\n", - "TUR-Literacy rate\n", - "Statistical=0.845, p=0.000\n", - "TUR-Net migration\n", - "Statistical=0.755, p=0.000\n", - "TUR-Mortality-infants\n", - "Statistical=0.906, p=0.009\n", - "TUR-Health services use\n", - "Statistical=0.904, p=0.008\n", - "TUR-R&D GExp\n", - "Statistical=0.735, p=0.000\n", - "TUR-Ninis\n", - "Statistical=0.806, p=0.000\n", - "TUR-Suicide\n", - "Statistical=0.844, p=0.000\n", - "TUR-International taxes\n", - "Statistical=0.690, p=0.000\n", - "TUR-Alcohol per capita\n", - "Statistical=0.775, p=0.000\n", - "MAR-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Population ages 15-64 (% of total population)\n", + "Statistical=0.948, p=0.127\n", "Data is NORMAL ( H0 not denied )\n", - "MAR-Renewable electricity\n", - "Statistical=0.775, p=0.000\n", - "MAR-Employment-agriculture\n", - "Statistical=0.865, p=0.001\n", - "MAR-Employment-industry\n", - "Statistical=0.868, p=0.001\n", - "MAR-Employment-services\n", + "DEU-Population ages 65 and above (% of total population)\n", "Statistical=0.878, p=0.002\n", - "MAR-Exports-G&S\n", - "Statistical=0.893, p=0.005\n", - "MAR-Fertility rate\n", - "Statistical=0.863, p=0.001\n", - "MAR-Foreign investment\n", - "Statistical=0.875, p=0.002\n", - "MAR-GDP\n", - "Statistical=0.799, p=0.000\n", - "MAR-Education GExp\n", - "Statistical=0.903, p=0.009\n", - "MAR-Workers high education\n", - "Statistical=0.861, p=0.001\n", - "MAR-Literacy rate\n", - "Statistical=0.856, p=0.001\n", - "MAR-Net migration\n", - "Statistical=0.931, p=0.046\n", - "MAR-Mortality-infants\n", - "Statistical=0.858, p=0.001\n", - "MAR-Health services use\n", - "Statistical=0.940, p=0.085\n", + "DEU-Population density (people per sq. km of land area)\n", + "Statistical=0.962, p=0.316\n", "Data is NORMAL ( H0 not denied )\n", - "MAR-R&D GExp\n", - "Statistical=0.919, p=0.023\n", - "MAR-Ninis\n", - "Statistical=nan, p=1.000\n", + "DEU-Population growth (annual %)\n", + "Statistical=0.938, p=0.067\n", "Data is NORMAL ( H0 not denied )\n", - "MAR-Suicide\n", - "Statistical=0.786, p=0.000\n", - "MAR-International taxes\n", - "Statistical=0.784, p=0.000\n", - "MAR-Alcohol per capita\n", - "Statistical=0.754, p=0.000\n", - "SEN-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "DEU-Population in largest city\n", + "Statistical=0.913, p=0.014\n", + "DEU-Population in the largest city (% of urban population)\n", + "Statistical=0.870, p=0.001\n", + "DEU-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.881, p=0.002\n", + "DEU-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.900, p=0.006\n", + "DEU-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.962, p=0.311\n", "Data is NORMAL ( H0 not denied )\n", - "SEN-Renewable electricity\n", - "Statistical=0.860, p=0.001\n", - "SEN-Employment-agriculture\n", - "Statistical=0.938, p=0.064\n", + "DEU-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.920, p=0.021\n", + "DEU-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.955, p=0.205\n", "Data is NORMAL ( H0 not denied )\n", - "SEN-Employment-industry\n", - "Statistical=0.892, p=0.004\n", - "SEN-Employment-services\n", - "Statistical=0.937, p=0.062\n", + "DEU-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=0.640, p=0.000\n", + "DEU-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.950, p=0.143\n", "Data is NORMAL ( H0 not denied )\n", - "SEN-Exports-G&S\n", - "Statistical=0.904, p=0.008\n", - "SEN-Fertility rate\n", - "Statistical=0.818, p=0.000\n", - "SEN-Foreign investment\n", - "Statistical=0.865, p=0.001\n", - "SEN-GDP\n", - "Statistical=0.942, p=0.084\n", + "DEU-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.950, p=0.143\n", "Data is NORMAL ( H0 not denied )\n", - "SEN-Education GExp\n", + "DEU-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.949, p=0.139\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Prevalence of anemia among pregnant women (%)\n", "Statistical=0.884, p=0.002\n", - "SEN-Workers high education\n", - "Statistical=0.879, p=0.002\n", - "SEN-Literacy rate\n", - "Statistical=0.853, p=0.000\n", - "SEN-Net migration\n", - "Statistical=0.453, p=0.000\n", - "SEN-Mortality-infants\n", - "Statistical=0.792, p=0.000\n", - "SEN-Health services use\n", - "Statistical=0.935, p=0.054\n", + "DEU-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.962, p=0.321\n", "Data is NORMAL ( H0 not denied )\n", - "SEN-R&D GExp\n", - "Statistical=0.815, p=0.000\n", - "SEN-Ninis\n", - "Statistical=0.546, p=0.000\n", - "SEN-Suicide\n", - "Statistical=0.689, p=0.000\n", - "SEN-International taxes\n", - "Statistical=0.895, p=0.005\n", - "SEN-Alcohol per capita\n", - "Statistical=0.850, p=0.000\n", - "ZAF-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "DEU-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.923, p=0.025\n", + "DEU-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.923, p=0.025\n", + "DEU-Prevalence of undernourishment (% of population)\n", + "Statistical=0.941, p=0.082\n", "Data is NORMAL ( H0 not denied )\n", - "ZAF-Renewable electricity\n", - "Statistical=0.839, p=0.000\n", - "ZAF-Employment-agriculture\n", - "Statistical=0.840, p=0.000\n", - "ZAF-Employment-industry\n", - "Statistical=0.832, p=0.000\n", - "ZAF-Employment-services\n", - "Statistical=0.910, p=0.011\n", - "ZAF-Exports-G&S\n", - "Statistical=0.871, p=0.001\n", - "ZAF-Fertility rate\n", - "Statistical=0.866, p=0.001\n", - "ZAF-Foreign investment\n", - "Statistical=0.861, p=0.001\n", - "ZAF-GDP\n", - "Statistical=0.834, p=0.000\n", - "ZAF-Education GExp\n", - "Statistical=0.968, p=0.458\n", + "DEU-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.965, p=0.367\n", "Data is NORMAL ( H0 not denied )\n", - "ZAF-Workers high education\n", - "Statistical=0.886, p=0.003\n", - "ZAF-Literacy rate\n", - "Statistical=0.855, p=0.001\n", - "ZAF-Net migration\n", - "Statistical=0.858, p=0.001\n", - "ZAF-Mortality-infants\n", - "Statistical=0.768, p=0.000\n", - "ZAF-Health services use\n", - "Statistical=0.863, p=0.001\n", - "ZAF-R&D GExp\n", - "Statistical=0.957, p=0.232\n", + "DEU-Primary income payments (BoP, current US$)\n", + "Statistical=0.862, p=0.001\n", + "DEU-Primary income receipts (BoP, current US$)\n", + "Statistical=0.923, p=0.025\n", + "DEU-Primary school starting age (years)\n", + "Statistical=0.908, p=0.010\n", + "DEU-Private credit bureau coverage (% of adults)\n", + "Statistical=0.875, p=0.002\n", + "DEU-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.950, p=0.143\n", "Data is NORMAL ( H0 not denied )\n", - "ZAF-Ninis\n", - "Statistical=0.789, p=0.000\n", - "ZAF-Suicide\n", - "Statistical=0.885, p=0.003\n", - "ZAF-International taxes\n", - "Statistical=0.803, p=0.000\n", - "ZAF-Alcohol per capita\n", - "Statistical=0.846, p=0.000\n", - "LBR-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.915, p=0.015\n", + "DEU-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.949, p=0.139\n", "Data is NORMAL ( H0 not denied )\n", - "LBR-Renewable electricity\n", - "Statistical=0.852, p=0.001\n", - "LBR-Employment-agriculture\n", - "Statistical=0.816, p=0.000\n", - "LBR-Employment-industry\n", - "Statistical=0.925, p=0.032\n", - "LBR-Employment-services\n", - "Statistical=0.877, p=0.002\n", - "LBR-Exports-G&S\n", - "Statistical=0.917, p=0.020\n", - "LBR-Fertility rate\n", - "Statistical=0.825, p=0.000\n", - "LBR-Foreign investment\n", - "Statistical=nan, p=1.000\n", + "DEU-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.970, p=0.489\n", "Data is NORMAL ( H0 not denied )\n", - "LBR-GDP\n", - "Statistical=0.940, p=0.082\n", + "DEU-Procedures to build a warehouse (number)\n", + "Statistical=0.955, p=0.199\n", "Data is NORMAL ( H0 not denied )\n", - "LBR-Education GExp\n", - "Statistical=0.542, p=0.000\n", - "LBR-Workers high education\n", - "Statistical=0.750, p=0.000\n", - "LBR-Literacy rate\n", - "Statistical=0.862, p=0.001\n", - "LBR-Net migration\n", - "Statistical=nan, p=1.000\n", + "DEU-Procedures to register property (number)\n", + "Statistical=0.962, p=0.306\n", "Data is NORMAL ( H0 not denied )\n", - "LBR-Mortality-infants\n", - "Statistical=0.705, p=0.000\n", - "LBR-Health services use\n", - "Statistical=0.848, p=0.000\n", - "LBR-R&D GExp\n", - "Statistical=0.946, p=0.120\n", + "DEU-Profit tax (% of commercial profits)\n", + "Statistical=0.962, p=0.306\n", "Data is NORMAL ( H0 not denied )\n", - "LBR-Ninis\n", - "Statistical=0.671, p=0.000\n", - "LBR-Suicide\n", - "Statistical=nan, p=1.000\n", + "DEU-Progression to secondary school (%)\n", + "Statistical=0.935, p=0.055\n", "Data is NORMAL ( H0 not denied )\n", - "LBR-International taxes\n", + "DEU-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.927, p=0.033\n", + "DEU-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.907, p=0.009\n", + "DEU-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.857, p=0.001\n", + "DEU-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.870, p=0.001\n", + "DEU-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.795, p=0.000\n", + "DEU-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.888, p=0.003\n", + "DEU-Public credit registry coverage (% of adults)\n", + "Statistical=0.914, p=0.014\n", + "DEU-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.744, p=0.000\n", + "DEU-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.585, p=0.000\n", + "DEU-Rail lines (total route-km)\n", + "Statistical=0.930, p=0.039\n", + "DEU-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.903, p=0.007\n", + "DEU-Ratio of female to male labor force participation rate (%) (national estimate)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "LBR-Alcohol per capita\n", - "Statistical=0.849, p=0.000\n", - "MOZ-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Refugee population by country or territory of asylum\n", + "Statistical=0.938, p=0.065\n", "Data is NORMAL ( H0 not denied )\n", - "MOZ-Renewable electricity\n", - "Statistical=0.799, p=0.000\n", - "MOZ-Employment-agriculture\n", - "Statistical=0.864, p=0.001\n", - "MOZ-Employment-industry\n", - "Statistical=0.900, p=0.007\n", - "MOZ-Employment-services\n", - "Statistical=0.843, p=0.000\n", - "MOZ-Exports-G&S\n", - "Statistical=0.920, p=0.023\n", - "MOZ-Fertility rate\n", - "Statistical=0.758, p=0.000\n", - "MOZ-Foreign investment\n", - "Statistical=0.885, p=0.003\n", - "MOZ-GDP\n", - "Statistical=0.943, p=0.098\n", + "DEU-Refugee population by country or territory of origin\n", + "Statistical=0.980, p=0.801\n", "Data is NORMAL ( H0 not denied )\n", - "MOZ-Education GExp\n", - "Statistical=0.718, p=0.000\n", - "MOZ-Workers high education\n", - "Statistical=0.912, p=0.015\n", - "MOZ-Literacy rate\n", - "Statistical=0.850, p=0.000\n", - "MOZ-Net migration\n", - "Statistical=0.633, p=0.000\n", - "MOZ-Mortality-infants\n", - "Statistical=0.901, p=0.008\n", - "MOZ-Health services use\n", - "Statistical=0.870, p=0.001\n", - "MOZ-R&D GExp\n", - "Statistical=0.873, p=0.002\n", - "MOZ-Ninis\n", - "Statistical=nan, p=1.000\n", + "DEU-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.957, p=0.223\n", "Data is NORMAL ( H0 not denied )\n", - "MOZ-Suicide\n", - "Statistical=0.831, p=0.000\n", - "MOZ-International taxes\n", - "Statistical=nan, p=1.000\n", + "DEU-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.957, p=0.223\n", "Data is NORMAL ( H0 not denied )\n", - "MOZ-Alcohol per capita\n", - "Statistical=0.788, p=0.000\n", - "CMR-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "DEU-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.910, p=0.011\n", + "DEU-Research and development expenditure (% of GDP)\n", + "Statistical=0.934, p=0.051\n", "Data is NORMAL ( H0 not denied )\n", - "CMR-Renewable electricity\n", - "Statistical=0.932, p=0.046\n", - "CMR-Employment-agriculture\n", - "Statistical=0.844, p=0.000\n", - "CMR-Employment-industry\n", - "Statistical=0.845, p=0.000\n", - "CMR-Employment-services\n", - "Statistical=0.818, p=0.000\n", - "CMR-Exports-G&S\n", - "Statistical=0.858, p=0.001\n", - "CMR-Fertility rate\n", - "Statistical=0.921, p=0.022\n", - "CMR-Foreign investment\n", - "Statistical=0.871, p=0.001\n", - "CMR-GDP\n", - "Statistical=0.967, p=0.427\n", + "DEU-Researchers in R&D (per million people)\n", + "Statistical=0.964, p=0.350\n", "Data is NORMAL ( H0 not denied )\n", - "CMR-Education GExp\n", - "Statistical=0.869, p=0.001\n", - "CMR-Workers high education\n", - "Statistical=0.877, p=0.002\n", - "CMR-Literacy rate\n", - "Statistical=0.827, p=0.000\n", - "CMR-Net migration\n", - "Statistical=0.908, p=0.010\n", - "CMR-Mortality-infants\n", - "Statistical=0.756, p=0.000\n", - "CMR-Health services use\n", - "Statistical=0.855, p=0.001\n", - "CMR-R&D GExp\n", - "Statistical=0.815, p=0.000\n", - "CMR-Ninis\n", - "Statistical=0.643, p=0.000\n", - "CMR-Suicide\n", - "Statistical=nan, p=1.000\n", + "DEU-Reserves and related items (BoP, current US$)\n", + "Statistical=0.912, p=0.013\n", + "DEU-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.933, p=0.046\n", + "DEU-Rural land area (sq. km)\n", + "Statistical=0.889, p=0.003\n", + "DEU-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.910, p=0.011\n", + "DEU-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.981, p=0.815\n", "Data is NORMAL ( H0 not denied )\n", - "CMR-International taxes\n", - "Statistical=0.703, p=0.000\n", - "CMR-Alcohol per capita\n", - "Statistical=0.815, p=0.000\n", - "NGA-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "DEU-Rural population\n", + "Statistical=0.913, p=0.014\n", + "DEU-Rural population (% of total population)\n", + "Statistical=0.913, p=0.014\n", + "DEU-Rural population growth (annual %)\n", + "Statistical=0.882, p=0.002\n", + "DEU-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.930, p=0.038\n", + "DEU-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.933, p=0.048\n", + "DEU-Scientific and technical journal articles\n", + "Statistical=0.923, p=0.025\n", + "DEU-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.923, p=0.025\n", + "DEU-Secure Internet servers\n", + "Statistical=0.861, p=0.001\n", + "DEU-Secure Internet servers (per 1 million people)\n", + "Statistical=0.973, p=0.589\n", "Data is NORMAL ( H0 not denied )\n", - "NGA-Renewable electricity\n", - "Statistical=0.741, p=0.000\n", - "NGA-Employment-agriculture\n", - "Statistical=0.446, p=0.000\n", - "NGA-Employment-industry\n", - "Statistical=0.879, p=0.002\n", - "NGA-Employment-services\n", - "Statistical=0.941, p=0.082\n", + "DEU-Service exports (BoP, current US$)\n", + "Statistical=0.973, p=0.589\n", "Data is NORMAL ( H0 not denied )\n", - "NGA-Exports-G&S\n", - "Statistical=0.883, p=0.002\n", - "NGA-Fertility rate\n", - "Statistical=0.945, p=0.105\n", + "DEU-Service imports (BoP, current US$)\n", + "Statistical=0.957, p=0.222\n", "Data is NORMAL ( H0 not denied )\n", - "NGA-Foreign investment\n", - "Statistical=0.898, p=0.005\n", - "NGA-GDP\n", - "Statistical=0.962, p=0.305\n", + "DEU-Sex ratio at birth (male births per female births)\n", + "Statistical=0.899, p=0.006\n", + "DEU-Social contributions (% of revenue)\n", + "Statistical=0.965, p=0.380\n", "Data is NORMAL ( H0 not denied )\n", - "NGA-Education GExp\n", - "Statistical=0.885, p=0.003\n", - "NGA-Workers high education\n", - "Statistical=0.857, p=0.001\n", - "NGA-Literacy rate\n", - "Statistical=0.835, p=0.000\n", - "NGA-Net migration\n", - "Statistical=nan, p=1.000\n", + "DEU-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.892, p=0.004\n", + "DEU-Start-up procedures to register a business (number)\n", + "Statistical=0.890, p=0.003\n", + "DEU-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.912, p=0.012\n", + "DEU-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.872, p=0.001\n", + "DEU-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.950, p=0.140\n", "Data is NORMAL ( H0 not denied )\n", - "NGA-Mortality-infants\n", - "Statistical=0.868, p=0.001\n", - "NGA-Health services use\n", - "Statistical=0.956, p=0.214\n", + "DEU-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.950, p=0.140\n", "Data is NORMAL ( H0 not denied )\n", - "NGA-R&D GExp\n", - "Statistical=0.749, p=0.000\n", - "NGA-Ninis\n", - "Statistical=0.743, p=0.000\n", - "NGA-Suicide\n", - "Statistical=nan, p=1.000\n", + "DEU-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.952, p=0.160\n", "Data is NORMAL ( H0 not denied )\n", - "NGA-International taxes\n", - "Statistical=nan, p=1.000\n", + "DEU-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.887, p=0.003\n", + "DEU-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.835, p=0.000\n", + "DEU-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.706, p=0.000\n", + "DEU-Surface area (sq. km)\n", + "Statistical=0.768, p=0.000\n", + "DEU-Tax payments (number)\n", + "Statistical=0.879, p=0.002\n", + "DEU-Tax revenue (% of GDP)\n", + "Statistical=0.955, p=0.205\n", "Data is NORMAL ( H0 not denied )\n", - "NGA-Alcohol per capita\n", - "Statistical=0.771, p=0.000\n", - "GHA-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Taxes less subsidies on products (current US$)\n", + "Statistical=0.983, p=0.876\n", "Data is NORMAL ( H0 not denied )\n", - "GHA-Renewable electricity\n", - "Statistical=0.865, p=0.001\n", - "GHA-Employment-agriculture\n", - "Statistical=0.827, p=0.000\n", - "GHA-Employment-industry\n", - "Statistical=0.745, p=0.000\n", - "GHA-Employment-services\n", - "Statistical=0.935, p=0.058\n", + "DEU-Taxes on goods and services (% of revenue)\n", + "Statistical=0.983, p=0.876\n", "Data is NORMAL ( H0 not denied )\n", - "GHA-Exports-G&S\n", - "Statistical=0.783, p=0.000\n", - "GHA-Fertility rate\n", - "Statistical=0.892, p=0.005\n", - "GHA-Foreign investment\n", - "Statistical=0.823, p=0.000\n", - "GHA-GDP\n", - "Statistical=0.958, p=0.265\n", + "DEU-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.971, p=0.536\n", "Data is NORMAL ( H0 not denied )\n", - "GHA-Education GExp\n", - "Statistical=0.759, p=0.000\n", - "GHA-Workers high education\n", - "Statistical=0.801, p=0.000\n", - "GHA-Literacy rate\n", - "Statistical=0.839, p=0.000\n", - "GHA-Net migration\n", - "Statistical=0.770, p=0.000\n", - "GHA-Mortality-infants\n", - "Statistical=0.841, p=0.000\n", - "GHA-Health services use\n", - "Statistical=0.909, p=0.012\n", - "GHA-R&D GExp\n", - "Statistical=0.960, p=0.288\n", + "DEU-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.884, p=0.002\n", + "DEU-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.969, p=0.474\n", "Data is NORMAL ( H0 not denied )\n", - "GHA-Ninis\n", - "Statistical=0.947, p=0.129\n", + "DEU-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.978, p=0.733\n", "Data is NORMAL ( H0 not denied )\n", - "GHA-Suicide\n", - "Statistical=0.656, p=0.000\n", - "GHA-International taxes\n", - "Statistical=nan, p=1.000\n", + "DEU-Time required to build a warehouse (days)\n", + "Statistical=0.983, p=0.876\n", "Data is NORMAL ( H0 not denied )\n", - "GHA-Alcohol per capita\n", - "Statistical=0.850, p=0.001\n", - "BGD-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "DEU-Time required to enforce a contract (days)\n", + "Statistical=0.941, p=0.082\n", "Data is NORMAL ( H0 not denied )\n", - "BGD-Renewable electricity\n", - "Statistical=0.808, p=0.000\n", - "BGD-Employment-agriculture\n", - "Statistical=0.978, p=0.734\n", + "DEU-Time required to get electricity (days)\n", + "Statistical=0.829, p=0.000\n", + "DEU-Time required to register property (days)\n", + "Statistical=0.971, p=0.536\n", "Data is NORMAL ( H0 not denied )\n", - "BGD-Employment-industry\n", - "Statistical=0.885, p=0.003\n", - "BGD-Employment-services\n", - "Statistical=0.899, p=0.006\n", - "BGD-Exports-G&S\n", - "Statistical=0.895, p=0.005\n", - "BGD-Fertility rate\n", - "Statistical=0.827, p=0.000\n", - "BGD-Foreign investment\n", - "Statistical=0.855, p=0.001\n", - "BGD-GDP\n", + "DEU-Time required to start a business (days)\n", + "Statistical=0.567, p=0.000\n", + "DEU-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.414, p=0.000\n", + "DEU-Time to obtain an electrical connection (days)\n", + "Statistical=0.780, p=0.000\n", + "DEU-Time to prepare and pay taxes (hours)\n", + "Statistical=0.474, p=0.000\n", + "DEU-Time to resolve insolvency (years)\n", + "Statistical=0.368, p=0.000\n", + "DEU-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.656, p=0.000\n", + "DEU-Total fisheries production (metric tons)\n", + "Statistical=0.408, p=0.000\n", + "DEU-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.618, p=0.000\n", + "DEU-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.629, p=0.000\n", + "DEU-Total natural resources rents (% of GDP)\n", + "Statistical=0.779, p=0.000\n", + "DEU-Total reserves (includes gold, current US$)\n", + "Statistical=0.833, p=0.000\n", + "DEU-Total reserves in months of imports\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Total reserves minus gold (current US$)\n", "Statistical=0.904, p=0.008\n", - "BGD-Education GExp\n", - "Statistical=0.862, p=0.001\n", - "BGD-Workers high education\n", + "DEU-Total tax and contribution rate (% of profit)\n", "Statistical=0.814, p=0.000\n", - "BGD-Literacy rate\n", - "Statistical=0.853, p=0.000\n", - "BGD-Net migration\n", - "Statistical=0.761, p=0.000\n", - "BGD-Mortality-infants\n", - "Statistical=0.894, p=0.004\n", - "BGD-Health services use\n", - "Statistical=0.917, p=0.017\n", - "BGD-R&D GExp\n", - "Statistical=0.922, p=0.023\n", - "BGD-Ninis\n", - "Statistical=0.788, p=0.000\n", - "BGD-Suicide\n", - "Statistical=nan, p=1.000\n", + "DEU-Trade (% of GDP)\n", + "Statistical=0.780, p=0.000\n", + "DEU-Trade in services (% of GDP)\n", + "Statistical=0.776, p=0.000\n", + "DEU-Transport services (% of commercial service exports)\n", + "Statistical=0.816, p=0.000\n", + "DEU-Transport services (% of commercial service imports)\n", + "Statistical=0.811, p=0.000\n", + "DEU-Transport services (% of service exports, BoP)\n", + "Statistical=0.849, p=0.000\n", + "DEU-Transport services (% of service imports, BoP)\n", + "Statistical=0.890, p=0.004\n", + "DEU-Travel services (% of commercial service exports)\n", + "Statistical=0.859, p=0.001\n", + "DEU-Travel services (% of commercial service imports)\n", + "Statistical=0.984, p=0.898\n", "Data is NORMAL ( H0 not denied )\n", - "BGD-International taxes\n", - "Statistical=nan, p=1.000\n", + "DEU-Travel services (% of service exports, BoP)\n", + "Statistical=0.936, p=0.056\n", "Data is NORMAL ( H0 not denied )\n", - "BGD-Alcohol per capita\n", - "Statistical=0.836, p=0.000\n", - "IND-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Travel services (% of service imports, BoP)\n", + "Statistical=0.936, p=0.056\n", "Data is NORMAL ( H0 not denied )\n", - "IND-Renewable electricity\n", - "Statistical=0.743, p=0.000\n", - "IND-Employment-agriculture\n", - "Statistical=0.892, p=0.005\n", - "IND-Employment-industry\n", - "Statistical=0.892, p=0.005\n", - "IND-Employment-services\n", - "Statistical=0.843, p=0.000\n", - "IND-Exports-G&S\n", - "Statistical=0.922, p=0.027\n", - "IND-Fertility rate\n", - "Statistical=0.848, p=0.000\n", - "IND-Foreign investment\n", - "Statistical=0.832, p=0.000\n", - "IND-GDP\n", - "Statistical=0.930, p=0.044\n", - "IND-Education GExp\n", - "Statistical=0.829, p=0.000\n", - "IND-Workers high education\n", + "DEU-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.926, p=0.031\n", + "DEU-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.860, p=0.001\n", + "DEU-UHC service coverage index\n", "Statistical=0.858, p=0.001\n", - "IND-Literacy rate\n", - "Statistical=0.854, p=0.001\n", - "IND-Net migration\n", - "Statistical=0.884, p=0.003\n", - "IND-Mortality-infants\n", - "Statistical=0.784, p=0.000\n", - "IND-Health services use\n", - "Statistical=0.939, p=0.078\n", + "DEU-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.803, p=0.000\n", + "DEU-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.950, p=0.140\n", "Data is NORMAL ( H0 not denied )\n", - "IND-R&D GExp\n", - "Statistical=0.793, p=0.000\n", - "IND-Ninis\n", - "Statistical=0.894, p=0.005\n", - "IND-Suicide\n", - "Statistical=0.909, p=0.012\n", - "IND-International taxes\n", - "Statistical=0.781, p=0.000\n", - "IND-Alcohol per capita\n", - "Statistical=0.855, p=0.001\n", - "VNM-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "DEU-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.924, p=0.026\n", + "DEU-Urban land area (sq. km)\n", + "Statistical=0.922, p=0.024\n", + "DEU-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.915, p=0.015\n", + "DEU-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.918, p=0.019\n", + "DEU-Urban population\n", + "Statistical=0.907, p=0.009\n", + "DEU-Urban population (% of total population)\n", + "Statistical=0.925, p=0.028\n", + "DEU-Urban population growth (annual %)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "VNM-Renewable electricity\n", - "Statistical=0.774, p=0.000\n", - "VNM-Employment-agriculture\n", - "Statistical=0.695, p=0.000\n", - "VNM-Employment-industry\n", - "Statistical=0.907, p=0.010\n", - "VNM-Employment-services\n", - "Statistical=0.905, p=0.008\n", - "VNM-Exports-G&S\n", - "Statistical=0.905, p=0.008\n", - "VNM-Fertility rate\n", - "Statistical=0.855, p=0.001\n", - "VNM-Foreign investment\n", - "Statistical=0.806, p=0.000\n", - "VNM-GDP\n", - "Statistical=0.727, p=0.000\n", - "VNM-Education GExp\n", - "Statistical=0.814, p=0.000\n", - "VNM-Workers high education\n", - "Statistical=0.855, p=0.001\n", - "VNM-Literacy rate\n", - "Statistical=0.853, p=0.000\n", - "VNM-Net migration\n", - "Statistical=nan, p=1.000\n", + "DEU-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "VNM-Mortality-infants\n", - "Statistical=0.846, p=0.000\n", - "VNM-Health services use\n", - "Statistical=0.694, p=0.000\n", - "VNM-R&D GExp\n", - "Statistical=0.881, p=0.002\n", - "VNM-Ninis\n", - "Statistical=0.688, p=0.000\n", - "VNM-Suicide\n", - "Statistical=0.631, p=0.000\n", - "VNM-International taxes\n", - "Statistical=0.772, p=0.000\n", - "VNM-Alcohol per capita\n", - "Statistical=0.780, p=0.000\n", - "THA-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "DEU-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "THA-Renewable electricity\n", - "Statistical=0.791, p=0.000\n", - "THA-Employment-agriculture\n", - "Statistical=0.980, p=0.810\n", + "DEU-GDP (current US$)+1\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "THA-Employment-industry\n", - "Statistical=0.929, p=0.040\n", - "THA-Employment-services\n", - "Statistical=0.945, p=0.117\n", + "DEU-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=0.801, p=0.000\n", + "DEU-GDP (current US$)+2\n", + "Statistical=0.960, p=0.275\n", "Data is NORMAL ( H0 not denied )\n", - "THA-Exports-G&S\n", - "Statistical=0.928, p=0.039\n", - "THA-Fertility rate\n", - "Statistical=0.863, p=0.001\n", - "THA-Foreign investment\n", - "Statistical=0.879, p=0.002\n", - "THA-GDP\n", - "Statistical=0.790, p=0.000\n", - "THA-Education GExp\n", - "Statistical=0.935, p=0.059\n", + "DEU-GDP (current US$)+3\n", + "Statistical=0.875, p=0.001\n", + "DEU-GDP (current US$)+5\n", + "Statistical=0.819, p=0.000\n", + "DEU-GDP (current US$)+8\n", + "Statistical=0.952, p=0.161\n", "Data is NORMAL ( H0 not denied )\n", - "THA-Workers high education\n", - "Statistical=0.883, p=0.003\n", - "THA-Literacy rate\n", - "Statistical=0.849, p=0.000\n", - "THA-Net migration\n", - "Statistical=0.956, p=0.231\n", + "DEU-GDP (current US$)+13\n", + "Statistical=0.893, p=0.004\n", + "DEU-GDP (current US$)+21\n", + "Statistical=0.893, p=0.004\n", + "DEU-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.853, p=0.000\n", + "DEU-Deposit interest rate (%)\n", + "Statistical=0.907, p=0.010\n", + "DEU-Other taxes (% of revenue)\n", + "Statistical=0.907, p=0.009\n", + "DEU-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.981, p=0.842\n", "Data is NORMAL ( H0 not denied )\n", - "THA-Mortality-infants\n", - "Statistical=0.823, p=0.000\n", - "THA-Health services use\n", - "Statistical=0.905, p=0.010\n", - "THA-R&D GExp\n", - "Statistical=0.774, p=0.000\n", - "THA-Ninis\n", - "Statistical=0.787, p=0.000\n", - "THA-Suicide\n", - "Statistical=0.825, p=0.000\n", - "THA-International taxes\n", - "Statistical=0.806, p=0.000\n", - "THA-Alcohol per capita\n", - "Statistical=0.788, p=0.000\n", - "IDN-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "DEU-Taxes on international trade (% of revenue)\n", + "Statistical=0.981, p=0.842\n", "Data is NORMAL ( H0 not denied )\n", - "IDN-Renewable electricity\n", - "Statistical=0.810, p=0.000\n", - "IDN-Employment-agriculture\n", - "Statistical=0.885, p=0.003\n", - "IDN-Employment-industry\n", - "Statistical=0.946, p=0.108\n", + "DEU-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.955, p=0.195\n", "Data is NORMAL ( H0 not denied )\n", - "IDN-Employment-services\n", - "Statistical=0.924, p=0.027\n", - "IDN-Exports-G&S\n", - "Statistical=0.950, p=0.147\n", + "DEU-Broad money (% of GDP)\n", + "Statistical=0.970, p=0.498\n", "Data is NORMAL ( H0 not denied )\n", - "IDN-Fertility rate\n", - "Statistical=0.888, p=0.003\n", - "IDN-Foreign investment\n", - "Statistical=0.877, p=0.002\n", - "IDN-GDP\n", - "Statistical=0.919, p=0.020\n", - "IDN-Education GExp\n", - "Statistical=0.922, p=0.024\n", - "IDN-Workers high education\n", - "Statistical=0.830, p=0.000\n", - "IDN-Literacy rate\n", - "Statistical=0.853, p=0.000\n", - "IDN-Net migration\n", - "Statistical=0.879, p=0.002\n", - "IDN-Mortality-infants\n", - "Statistical=0.785, p=0.000\n", - "IDN-Health services use\n", - "Statistical=0.951, p=0.149\n", + "DEU-Broad money growth (annual %)\n", + "Statistical=0.963, p=0.328\n", "Data is NORMAL ( H0 not denied )\n", - "IDN-R&D GExp\n", - "Statistical=0.893, p=0.004\n", - "IDN-Ninis\n", - "Statistical=0.835, p=0.000\n", - "IDN-Suicide\n", - "Statistical=0.678, p=0.000\n", - "IDN-International taxes\n", + "DEU-Broad money to total reserves ratio\n", + "Statistical=0.950, p=0.143\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.963, p=0.321\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.869, p=0.001\n", + "DEU-Poverty gap at $1.90 a day (2011 PPP) (%)\n", "Statistical=0.874, p=0.001\n", - "IDN-Alcohol per capita\n", - "Statistical=0.804, p=0.000\n", - "PHL-Exports-Commercial services\n", + "DEU-External health expenditure (% of current health expenditure)\n", + "Statistical=0.844, p=0.000\n", + "DEU-External health expenditure per capita (current US$)\n", + "Statistical=0.458, p=0.000\n", + "DEU-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.870, p=0.001\n", + "DEU-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.873, p=0.001\n", + "DEU-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.859, p=0.001\n", + "DEU-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.880, p=0.002\n", + "DEU-People practicing open defecation (% of population)\n", + "Statistical=0.893, p=0.004\n", + "DEU-Taxes on exports (% of tax revenue)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "DEU-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.890, p=0.003\n", + "DEU-Country\n", + "Statistical=0.840, p=0.000\n", + "DEU-Year\n", + "Statistical=0.811, p=0.000\n", + "DEU-Continent\n", + "Statistical=0.832, p=0.000\n", + "FRA-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", "Statistical=0.957, p=0.229\n", "Data is NORMAL ( H0 not denied )\n", - "PHL-Renewable electricity\n", - "Statistical=0.845, p=0.000\n", - "PHL-Employment-agriculture\n", - "Statistical=0.960, p=0.271\n", + "FRA-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "PHL-Employment-industry\n", - "Statistical=0.946, p=0.112\n", + "FRA-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "PHL-Employment-services\n", - "Statistical=0.900, p=0.006\n", - "PHL-Exports-G&S\n", - "Statistical=0.945, p=0.106\n", + "FRA-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "PHL-Fertility rate\n", - "Statistical=0.880, p=0.002\n", - "PHL-Foreign investment\n", - "Statistical=0.943, p=0.089\n", + "FRA-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "PHL-GDP\n", - "Statistical=0.943, p=0.089\n", + "FRA-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "PHL-Education GExp\n", - "Statistical=0.981, p=0.832\n", + "FRA-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "PHL-Workers high education\n", - "Statistical=0.849, p=0.000\n", - "PHL-Literacy rate\n", - "Statistical=0.805, p=0.000\n", - "PHL-Net migration\n", - "Statistical=0.856, p=0.001\n", - "PHL-Mortality-infants\n", - "Statistical=0.914, p=0.014\n", - "PHL-Health services use\n", - "Statistical=0.982, p=0.854\n", + "FRA-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.557, p=0.000\n", + "FRA-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.574, p=0.000\n", + "FRA-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.661, p=0.000\n", + "FRA-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.561, p=0.000\n", + "FRA-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.617, p=0.000\n", + "FRA-Age dependency ratio (% of working-age population)\n", + "Statistical=0.617, p=0.000\n", + "FRA-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.531, p=0.000\n", + "FRA-Agricultural land (% of land area)\n", + "Statistical=0.612, p=0.000\n", + "FRA-Agricultural land (sq. km)\n", + "Statistical=0.610, p=0.000\n", + "FRA-Agricultural methane emissions (% of total)\n", + "Statistical=0.842, p=0.000\n", + "FRA-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.862, p=0.001\n", + "FRA-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.877, p=0.002\n", + "FRA-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.905, p=0.008\n", + "FRA-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.926, p=0.030\n", + "FRA-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.847, p=0.000\n", + "FRA-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.953, p=0.181\n", "Data is NORMAL ( H0 not denied )\n", - "PHL-R&D GExp\n", - "Statistical=0.949, p=0.136\n", + "FRA-Aquaculture production (metric tons)\n", + "Statistical=0.900, p=0.006\n", + "FRA-Arable land (% of land area)\n", + "Statistical=0.871, p=0.001\n", + "FRA-Arable land (hectares per person)\n", + "Statistical=0.952, p=0.166\n", "Data is NORMAL ( H0 not denied )\n", - "PHL-Ninis\n", - "Statistical=0.617, p=0.000\n", - "PHL-Suicide\n", - "Statistical=0.874, p=0.001\n", - "PHL-International taxes\n", - "Statistical=0.846, p=0.000\n", - "PHL-Alcohol per capita\n", - "Statistical=0.891, p=0.004\n", - "KOR-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "FRA-Arable land (hectares)\n", + "Statistical=0.969, p=0.467\n", "Data is NORMAL ( H0 not denied )\n", - "KOR-Renewable electricity\n", - "Statistical=0.778, p=0.000\n", - "KOR-Employment-agriculture\n", - "Statistical=nan, p=1.000\n", + "FRA-Armed forces personnel (% of total labor force)\n", + "Statistical=0.953, p=0.178\n", "Data is NORMAL ( H0 not denied )\n", - "KOR-Employment-industry\n", - "Statistical=0.910, p=0.011\n", - "KOR-Employment-services\n", - "Statistical=0.819, p=0.000\n", - "KOR-Exports-G&S\n", - "Statistical=0.864, p=0.001\n", - "KOR-Fertility rate\n", - "Statistical=0.891, p=0.004\n", - "KOR-Foreign investment\n", - "Statistical=0.870, p=0.001\n", - "KOR-GDP\n", - "Statistical=0.953, p=0.176\n", + "FRA-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.969, p=0.465\n", "Data is NORMAL ( H0 not denied )\n", - "KOR-Education GExp\n", - "Statistical=0.904, p=0.008\n", - "KOR-Workers high education\n", - "Statistical=0.914, p=0.014\n", - "KOR-Literacy rate\n", - "Statistical=0.731, p=0.000\n", - "KOR-Net migration\n", - "Statistical=0.963, p=0.335\n", + "FRA-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.932, p=0.044\n", + "FRA-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Average precipitation in depth (mm per year)\n", + "Statistical=0.886, p=0.003\n", + "FRA-Average time to clear exports through customs (days)\n", + "Statistical=0.817, p=0.000\n", + "FRA-Births attended by skilled health staff (% of total)\n", + "Statistical=0.852, p=0.000\n", + "FRA-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.872, p=0.001\n", + "FRA-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.957, p=0.234\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.970, p=0.505\n", "Data is NORMAL ( H0 not denied )\n", - "KOR-Mortality-infants\n", + "FRA-CO2 emissions (kt)\n", + "Statistical=0.888, p=0.003\n", + "FRA-CO2 emissions (metric tons per capita)\n", + "Statistical=0.907, p=0.009\n", + "FRA-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-CO2 emissions from gaseous fuel consumption (kt)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "KOR-Health services use\n", - "Statistical=0.841, p=0.000\n", - "KOR-R&D GExp\n", - "Statistical=0.798, p=0.000\n", - "KOR-Ninis\n", + "FRA-CO2 emissions from liquid fuel consumption (% of total)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "KOR-Suicide\n", - "Statistical=0.828, p=0.000\n", - "KOR-International taxes\n", - "Statistical=0.746, p=0.000\n", - "KOR-Alcohol per capita\n", - "Statistical=0.847, p=0.000\n", - "MEX-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "FRA-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.960, p=0.277\n", "Data is NORMAL ( H0 not denied )\n", - "MEX-Renewable electricity\n", - "Statistical=0.734, p=0.000\n", - "MEX-Employment-agriculture\n", - "Statistical=0.964, p=0.361\n", + "FRA-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.962, p=0.303\n", "Data is NORMAL ( H0 not denied )\n", - "MEX-Employment-industry\n", - "Statistical=0.852, p=0.001\n", - "MEX-Employment-services\n", - "Statistical=0.960, p=0.291\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Exports-G&S\n", - "Statistical=0.872, p=0.002\n", - "MEX-Fertility rate\n", - "Statistical=0.951, p=0.169\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Foreign investment\n", - "Statistical=0.927, p=0.036\n", - "MEX-GDP\n", - "Statistical=0.929, p=0.042\n", - "MEX-Education GExp\n", - "Statistical=0.967, p=0.445\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Workers high education\n", - "Statistical=0.928, p=0.039\n", - "MEX-Literacy rate\n", - "Statistical=0.856, p=0.001\n", - "MEX-Net migration\n", - "Statistical=0.926, p=0.035\n", - "MEX-Mortality-infants\n", - "Statistical=0.931, p=0.046\n", - "MEX-Health services use\n", - "Statistical=0.927, p=0.036\n", - "MEX-R&D GExp\n", - "Statistical=0.780, p=0.000\n", - "MEX-Ninis\n", - "Statistical=0.751, p=0.000\n", - "MEX-Suicide\n", - "Statistical=0.928, p=0.038\n", - "MEX-International taxes\n", - "Statistical=0.862, p=0.001\n", - "MEX-Alcohol per capita\n", - "Statistical=0.846, p=0.000\n", - "BRA-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "FRA-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.956, p=0.209\n", "Data is NORMAL ( H0 not denied )\n", - "BRA-Renewable electricity\n", - "Statistical=0.824, p=0.000\n", - "BRA-Employment-agriculture\n", - "Statistical=0.875, p=0.002\n", - "BRA-Employment-industry\n", + "FRA-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.905, p=0.008\n", + "FRA-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.874, p=0.001\n", + "FRA-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.761, p=0.000\n", + "FRA-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.728, p=0.000\n", + "FRA-Capture fisheries production (metric tons)\n", + "Statistical=0.744, p=0.000\n", + "FRA-Cereal production (metric tons)\n", + "Statistical=0.801, p=0.000\n", + "FRA-Cereal yield (kg per hectare)\n", + "Statistical=0.901, p=0.007\n", + "FRA-Changes in inventories (current US$)\n", "Statistical=0.904, p=0.008\n", - "BRA-Employment-services\n", - "Statistical=0.890, p=0.003\n", - "BRA-Exports-G&S\n", - "Statistical=0.932, p=0.045\n", - "BRA-Fertility rate\n", - "Statistical=0.846, p=0.000\n", - "BRA-Foreign investment\n", - "Statistical=0.866, p=0.001\n", - "BRA-GDP\n", - "Statistical=0.861, p=0.001\n", - "BRA-Education GExp\n", - "Statistical=0.937, p=0.062\n", + "FRA-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.743, p=0.000\n", + "FRA-Children out of school (% of primary school age)\n", + "Statistical=0.902, p=0.007\n", + "FRA-Coal rents (% of GDP)\n", + "Statistical=0.902, p=0.007\n", + "FRA-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.774, p=0.000\n", + "FRA-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.760, p=0.000\n", + "FRA-Commercial service exports (current US$)\n", + "Statistical=0.810, p=0.000\n", + "FRA-Commercial service imports (current US$)\n", + "Statistical=0.955, p=0.200\n", "Data is NORMAL ( H0 not denied )\n", - "BRA-Workers high education\n", - "Statistical=0.907, p=0.009\n", - "BRA-Literacy rate\n", - "Statistical=0.856, p=0.001\n", - "BRA-Net migration\n", - "Statistical=0.672, p=0.000\n", - "BRA-Mortality-infants\n", - "Statistical=0.785, p=0.000\n", - "BRA-Health services use\n", - "Statistical=0.861, p=0.001\n", - "BRA-R&D GExp\n", - "Statistical=0.679, p=0.000\n", - "BRA-Ninis\n", - "Statistical=0.834, p=0.000\n", - "BRA-Suicide\n", - "Statistical=0.906, p=0.009\n", - "BRA-International taxes\n", - "Statistical=0.797, p=0.000\n", - "BRA-Alcohol per capita\n", - "Statistical=0.842, p=0.000\n", - "ARG-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "FRA-Completeness of birth registration (%)\n", + "Statistical=0.738, p=0.000\n", + "FRA-Consumer price index (2010 = 100)\n", + "Statistical=0.941, p=0.078\n", "Data is NORMAL ( H0 not denied )\n", - "ARG-Renewable electricity\n", - "Statistical=0.767, p=0.000\n", - "ARG-Employment-agriculture\n", - "Statistical=0.879, p=0.002\n", - "ARG-Employment-industry\n", - "Statistical=0.956, p=0.227\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Employment-services\n", - "Statistical=0.915, p=0.017\n", - "ARG-Exports-G&S\n", - "Statistical=0.932, p=0.048\n", - "ARG-Fertility rate\n", - "Statistical=0.864, p=0.001\n", - "ARG-Foreign investment\n", - "Statistical=0.907, p=0.011\n", - "ARG-GDP\n", - "Statistical=0.880, p=0.002\n", - "ARG-Education GExp\n", - "Statistical=0.898, p=0.006\n", - "ARG-Workers high education\n", - "Statistical=0.931, p=0.047\n", - "ARG-Literacy rate\n", - "Statistical=0.827, p=0.000\n", - "ARG-Net migration\n", - "Statistical=0.776, p=0.000\n", - "ARG-Mortality-infants\n", - "Statistical=0.745, p=0.000\n", - "ARG-Health services use\n", - "Statistical=0.954, p=0.204\n", + "FRA-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.784, p=0.000\n", + "FRA-Crop production index (2014-2016 = 100)\n", + "Statistical=0.883, p=0.002\n", + "FRA-Current account balance (% of GDP)\n", + "Statistical=0.887, p=0.003\n", + "FRA-Current account balance (BoP, current US$)\n", + "Statistical=0.976, p=0.663\n", "Data is NORMAL ( H0 not denied )\n", - "ARG-R&D GExp\n", - "Statistical=0.737, p=0.000\n", - "ARG-Ninis\n", - "Statistical=0.772, p=0.000\n", - "ARG-Suicide\n", - "Statistical=0.843, p=0.000\n", - "ARG-International taxes\n", - "Statistical=0.871, p=0.001\n", - "ARG-Alcohol per capita\n", - "Statistical=0.909, p=0.012\n", - "PER-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "FRA-Current health expenditure (% of GDP)\n", + "Statistical=0.951, p=0.149\n", "Data is NORMAL ( H0 not denied )\n", - "PER-Renewable electricity\n", - "Statistical=0.918, p=0.018\n", - "PER-Employment-agriculture\n", - "Statistical=0.866, p=0.001\n", - "PER-Employment-industry\n", - "Statistical=0.811, p=0.000\n", - "PER-Employment-services\n", - "Statistical=0.951, p=0.154\n", + "FRA-Current health expenditure per capita (current US$)\n", + "Statistical=0.951, p=0.149\n", "Data is NORMAL ( H0 not denied )\n", - "PER-Exports-G&S\n", - "Statistical=0.904, p=0.008\n", - "PER-Fertility rate\n", - "Statistical=0.861, p=0.001\n", - "PER-Foreign investment\n", - "Statistical=0.848, p=0.000\n", - "PER-GDP\n", - "Statistical=0.905, p=0.008\n", - "PER-Education GExp\n", - "Statistical=0.915, p=0.015\n", - "PER-Workers high education\n", - "Statistical=0.845, p=0.000\n", - "PER-Literacy rate\n", - "Statistical=0.858, p=0.001\n", - "PER-Net migration\n", - "Statistical=0.936, p=0.058\n", + "FRA-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.971, p=0.521\n", "Data is NORMAL ( H0 not denied )\n", - "PER-Mortality-infants\n", - "Statistical=0.772, p=0.000\n", - "PER-Health services use\n", - "Statistical=0.865, p=0.001\n", - "PER-R&D GExp\n", - "Statistical=0.919, p=0.019\n", - "PER-Ninis\n", - "Statistical=0.854, p=0.001\n", - "PER-Suicide\n", + "FRA-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.974, p=0.617\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.940, p=0.076\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.955, p=0.198\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.912, p=0.013\n", + "FRA-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.979, p=0.758\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.843, p=0.000\n", + "FRA-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.870, p=0.001\n", + "FRA-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.880, p=0.002\n", + "FRA-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.880, p=0.002\n", + "FRA-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.925, p=0.028\n", + "FRA-Electric power consumption (kWh per capita)\n", + "Statistical=0.921, p=0.023\n", + "FRA-Electric power transmission and distribution losses (% of output)\n", "Statistical=0.873, p=0.001\n", - "PER-International taxes\n", - "Statistical=0.770, p=0.000\n", - "PER-Alcohol per capita\n", - "Statistical=0.924, p=0.026\n", - "VEN-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "FRA-Electricity production from coal sources (% of total)\n", + "Statistical=0.921, p=0.022\n", + "FRA-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.844, p=0.000\n", + "FRA-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.839, p=0.000\n", + "FRA-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.941, p=0.081\n", "Data is NORMAL ( H0 not denied )\n", - "VEN-Renewable electricity\n", - "Statistical=0.683, p=0.000\n", - "VEN-Employment-agriculture\n", - "Statistical=0.407, p=0.000\n", - "VEN-Employment-industry\n", - "Statistical=0.909, p=0.012\n", - "VEN-Employment-services\n", - "Statistical=0.959, p=0.272\n", + "FRA-Electricity production from oil sources (% of total)\n", + "Statistical=0.978, p=0.738\n", "Data is NORMAL ( H0 not denied )\n", - "VEN-Exports-G&S\n", - "Statistical=0.958, p=0.263\n", + "FRA-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.801, p=0.000\n", + "FRA-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "VEN-Fertility rate\n", - "Statistical=0.946, p=0.119\n", + "FRA-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "VEN-Foreign investment\n", - "Statistical=0.874, p=0.002\n", - "VEN-GDP\n", - "Statistical=0.936, p=0.066\n", + "FRA-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "VEN-Education GExp\n", - "Statistical=0.941, p=0.087\n", + "FRA-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "VEN-Workers high education\n", - "Statistical=0.818, p=0.000\n", - "VEN-Literacy rate\n", - "Statistical=0.781, p=0.000\n", - "VEN-Net migration\n", + "FRA-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.870, p=0.001\n", + "FRA-Export unit value index (2000 = 100)\n", + "Statistical=0.953, p=0.180\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Export value index (2000 = 100)\n", + "Statistical=0.754, p=0.000\n", + "FRA-Export volume index (2000 = 100)\n", + "Statistical=0.773, p=0.000\n", + "FRA-Exports of goods and services (% of GDP)\n", + "Statistical=0.778, p=0.000\n", + "FRA-Exports of goods and services (BoP, current US$)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "VEN-Mortality-infants\n", - "Statistical=0.834, p=0.000\n", - "VEN-Health services use\n", - "Statistical=0.914, p=0.016\n", - "VEN-R&D GExp\n", - "Statistical=0.775, p=0.000\n", - "VEN-Ninis\n", - "Statistical=0.759, p=0.000\n", - "VEN-Suicide\n", - "Statistical=0.716, p=0.000\n", - "VEN-International taxes\n", + "FRA-Exports of goods and services (current US$)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "VEN-Alcohol per capita\n", - "Statistical=0.826, p=0.000\n", - "COL-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "FRA-External balance on goods and services (% of GDP)\n", + "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "COL-Renewable electricity\n", - "Statistical=0.900, p=0.006\n", - "COL-Employment-agriculture\n", - "Statistical=0.898, p=0.006\n", - "COL-Employment-industry\n", - "Statistical=0.883, p=0.002\n", - "COL-Employment-services\n", - "Statistical=0.889, p=0.003\n", - "COL-Exports-G&S\n", - "Statistical=0.925, p=0.028\n", - "COL-Fertility rate\n", - "Statistical=0.851, p=0.000\n", - "COL-Foreign investment\n", - "Statistical=0.886, p=0.003\n", - "COL-GDP\n", - "Statistical=0.901, p=0.007\n", - "COL-Education GExp\n", - "Statistical=0.907, p=0.010\n", - "COL-Workers high education\n", - "Statistical=0.880, p=0.002\n", - "COL-Literacy rate\n", - "Statistical=0.855, p=0.001\n", - "COL-Net migration\n", - "Statistical=0.826, p=0.000\n", - "COL-Mortality-infants\n", - "Statistical=0.927, p=0.033\n", - "COL-Health services use\n", - "Statistical=0.921, p=0.023\n", - "COL-R&D GExp\n", - "Statistical=0.797, p=0.000\n", - "COL-Ninis\n", - "Statistical=0.827, p=0.000\n", - "COL-Suicide\n", - "Statistical=0.907, p=0.009\n", - "COL-International taxes\n", - "Statistical=0.798, p=0.000\n", - "COL-Alcohol per capita\n", - "Statistical=0.832, p=0.000\n", - "CHL-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "FRA-External balance on goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "CHL-Renewable electricity\n", - "Statistical=0.771, p=0.000\n", - "CHL-Employment-agriculture\n", - "Statistical=0.933, p=0.053\n", + "FRA-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "CHL-Employment-industry\n", - "Statistical=0.925, p=0.033\n", - "CHL-Employment-services\n", - "Statistical=0.843, p=0.000\n", - "CHL-Exports-G&S\n", - "Statistical=0.921, p=0.025\n", - "CHL-Fertility rate\n", - "Statistical=0.924, p=0.031\n", - "CHL-Foreign investment\n", - "Statistical=0.847, p=0.000\n", - "CHL-GDP\n", - "Statistical=0.912, p=0.015\n", - "CHL-Education GExp\n", - "Statistical=0.963, p=0.348\n", + "FRA-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.932, p=0.044\n", + "FRA-Final consumption expenditure (% of GDP)\n", + "Statistical=0.932, p=0.044\n", + "FRA-Final consumption expenditure (current US$)\n", + "Statistical=0.920, p=0.021\n", + "FRA-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.885, p=0.003\n", + "FRA-Firms offering formal training (% of firms)\n", + "Statistical=0.873, p=0.001\n", + "FRA-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.892, p=0.004\n", + "FRA-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.898, p=0.006\n", + "FRA-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.948, p=0.130\n", "Data is NORMAL ( H0 not denied )\n", - "CHL-Workers high education\n", - "Statistical=0.865, p=0.001\n", - "CHL-Literacy rate\n", - "Statistical=0.835, p=0.000\n", - "CHL-Net migration\n", - "Statistical=0.867, p=0.001\n", - "CHL-Mortality-infants\n", - "Statistical=0.851, p=0.001\n", - "CHL-Health services use\n", + "FRA-Fixed broadband subscriptions\n", + "Statistical=0.905, p=0.008\n", + "FRA-Fixed broadband subscriptions (per 100 people)\n", "Statistical=0.848, p=0.000\n", - "CHL-R&D GExp\n", - "Statistical=0.833, p=0.000\n", - "CHL-Ninis\n", - "Statistical=0.984, p=0.910\n", + "FRA-Fixed telephone subscriptions\n", + "Statistical=0.914, p=0.015\n", + "FRA-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.940, p=0.076\n", "Data is NORMAL ( H0 not denied )\n", - "CHL-Suicide\n", - "Statistical=0.728, p=0.000\n", - "CHL-International taxes\n", - "Statistical=0.903, p=0.009\n", - "CHL-Alcohol per capita\n", - "Statistical=0.925, p=0.032\n", - "PAN-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "FRA-Food exports (% of merchandise exports)\n", + "Statistical=0.943, p=0.094\n", "Data is NORMAL ( H0 not denied )\n", - "PAN-Renewable electricity\n", - "Statistical=0.759, p=0.000\n", - "PAN-Employment-agriculture\n", - "Statistical=0.910, p=0.011\n", - "PAN-Employment-industry\n", - "Statistical=0.932, p=0.043\n", - "PAN-Employment-services\n", - "Statistical=0.949, p=0.134\n", + "FRA-Food imports (% of merchandise imports)\n", + "Statistical=0.895, p=0.005\n", + "FRA-Food production index (2014-2016 = 100)\n", + "Statistical=0.921, p=0.022\n", + "FRA-Forest area (% of land area)\n", + "Statistical=0.923, p=0.025\n", + "FRA-Forest area (sq. km)\n", + "Statistical=0.930, p=0.039\n", + "FRA-Forest rents (% of GDP)\n", + "Statistical=0.933, p=0.047\n", + "FRA-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.855, p=0.001\n", + "FRA-Fuel exports (% of merchandise exports)\n", + "Statistical=0.843, p=0.000\n", + "FRA-Fuel imports (% of merchandise imports)\n", + "Statistical=0.815, p=0.000\n", + "FRA-GDP (current US$)\n", + "Statistical=0.954, p=0.183\n", "Data is NORMAL ( H0 not denied )\n", - "PAN-Exports-G&S\n", - "Statistical=0.924, p=0.027\n", - "PAN-Fertility rate\n", - "Statistical=0.846, p=0.000\n", - "PAN-Foreign investment\n", - "Statistical=0.858, p=0.001\n", - "PAN-GDP\n", - "Statistical=0.970, p=0.510\n", + "FRA-GDP deflator (base year varies by country)\n", + "Statistical=0.949, p=0.136\n", "Data is NORMAL ( H0 not denied )\n", - "PAN-Education GExp\n", - "Statistical=0.866, p=0.001\n", - "PAN-Workers high education\n", - "Statistical=0.839, p=0.000\n", - "PAN-Literacy rate\n", - "Statistical=0.850, p=0.000\n", - "PAN-Net migration\n", - "Statistical=0.541, p=0.000\n", - "PAN-Mortality-infants\n", - "Statistical=0.942, p=0.086\n", + "FRA-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.965, p=0.380\n", "Data is NORMAL ( H0 not denied )\n", - "PAN-Health services use\n", - "Statistical=0.922, p=0.023\n", - "PAN-R&D GExp\n", - "Statistical=0.863, p=0.001\n", - "PAN-Ninis\n", - "Statistical=0.874, p=0.001\n", - "PAN-Suicide\n", - "Statistical=0.911, p=0.012\n", - "PAN-International taxes\n", - "Statistical=0.928, p=0.033\n", - "PAN-Alcohol per capita\n", - "Statistical=0.812, p=0.000\n", - "CRI-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "FRA-GDP growth (annual %)\n", + "Statistical=0.958, p=0.240\n", "Data is NORMAL ( H0 not denied )\n", - "CRI-Renewable electricity\n", - "Statistical=0.764, p=0.000\n", - "CRI-Employment-agriculture\n", - "Statistical=0.941, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Employment-industry\n", - "Statistical=0.904, p=0.009\n", - "CRI-Employment-services\n", - "Statistical=0.951, p=0.163\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Exports-G&S\n", - "Statistical=0.938, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Fertility rate\n", - "Statistical=0.913, p=0.016\n", - "CRI-Foreign investment\n", - "Statistical=0.927, p=0.037\n", - "CRI-GDP\n", + "FRA-GDP per capita (current US$)\n", + "Statistical=0.914, p=0.014\n", + "FRA-GDP per capita growth (annual %)\n", "Statistical=0.856, p=0.001\n", - "CRI-Education GExp\n", - "Statistical=0.888, p=0.004\n", - "CRI-Workers high education\n", - "Statistical=0.861, p=0.001\n", - "CRI-Literacy rate\n", - "Statistical=0.852, p=0.001\n", - "CRI-Net migration\n", - "Statistical=0.821, p=0.000\n", - "CRI-Mortality-infants\n", - "Statistical=0.816, p=0.000\n", - "CRI-Health services use\n", - "Statistical=0.915, p=0.017\n", - "CRI-R&D GExp\n", + "FRA-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.924, p=0.026\n", + "FRA-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.775, p=0.000\n", + "FRA-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.851, p=0.000\n", + "FRA-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.833, p=0.000\n", + "FRA-GNI (current US$)\n", + "Statistical=0.780, p=0.000\n", + "FRA-GNI growth (annual %)\n", + "Statistical=0.853, p=0.000\n", + "FRA-GNI per capita growth (annual %)\n", + "Statistical=0.836, p=0.000\n", + "FRA-General government final consumption expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-General government final consumption expenditure (current US$)\n", + "Statistical=0.708, p=0.000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FRA-Gini index\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Goods exports (BoP, current US$)\n", + "Statistical=0.714, p=0.000\n", + "FRA-Goods imports (BoP, current US$)\n", + "Statistical=0.893, p=0.004\n", + "FRA-Grants and other revenue (% of revenue)\n", + "Statistical=0.753, p=0.000\n", + "FRA-Gross capital formation (% of GDP)\n", + "Statistical=0.876, p=0.002\n", + "FRA-Gross capital formation (current US$)\n", + "Statistical=0.879, p=0.002\n", + "FRA-Gross domestic savings (% of GDP)\n", + "Statistical=0.977, p=0.720\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Gross domestic savings (current US$)\n", + "Statistical=0.955, p=0.204\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.977, p=0.708\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Gross savings (% of GDP)\n", + "Statistical=0.955, p=0.200\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Gross savings (current US$)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Gross value added at basic prices (GVA) (current US$)\n", "Statistical=0.838, p=0.000\n", - "CRI-Ninis\n", - "Statistical=0.830, p=0.000\n", - "CRI-Suicide\n", - "Statistical=0.929, p=0.042\n", - "CRI-International taxes\n", - "Statistical=0.927, p=0.037\n", - "CRI-Alcohol per capita\n", - "Statistical=0.914, p=0.017\n", - "USA-Exports-Commercial services\n", - "Statistical=0.957, p=0.229\n", + "FRA-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.910, p=0.011\n", + "FRA-High-technology exports (% of manufactured exports)\n", + "Statistical=0.915, p=0.015\n", + "FRA-High-technology exports (current US$)\n", + "Statistical=0.856, p=0.001\n", + "FRA-Hospital beds (per 1,000 people)\n", + "Statistical=0.922, p=0.024\n", + "FRA-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.875, p=0.001\n", + "FRA-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.801, p=0.000\n", + "FRA-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.801, p=0.000\n", + "FRA-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.801, p=0.000\n", + "FRA-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "USA-Renewable electricity\n", - "Statistical=0.831, p=0.000\n", - "USA-Employment-agriculture\n", + "FRA-Human capital index (HCI), female, lower bound (scale 0-1)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "USA-Employment-industry\n", - "Statistical=0.853, p=0.000\n", - "USA-Employment-services\n", + "FRA-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.960, p=0.283\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.955, p=0.201\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.983, p=0.873\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.895, p=0.005\n", + "FRA-ICT goods exports (% of total goods exports)\n", + "Statistical=0.860, p=0.001\n", + "FRA-ICT goods imports (% total goods imports)\n", + "Statistical=0.865, p=0.001\n", + "FRA-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.825, p=0.000\n", + "FRA-ICT service exports (BoP, current US$)\n", + "Statistical=0.797, p=0.000\n", + "FRA-Import unit value index (2000 = 100)\n", + "Statistical=0.846, p=0.000\n", + "FRA-Import value index (2000 = 100)\n", + "Statistical=0.923, p=0.025\n", + "FRA-Import volume index (2000 = 100)\n", + "Statistical=0.888, p=0.003\n", + "FRA-Imports of goods and services (% of GDP)\n", + "Statistical=0.971, p=0.532\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.910, p=0.011\n", + "FRA-Imports of goods and services (current US$)\n", + "Statistical=0.909, p=0.011\n", + "FRA-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "FRA-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Income share held by highest 20%\n", + "Statistical=0.575, p=0.000\n", + "FRA-Income share held by lowest 10%\n", + "Statistical=0.815, p=0.000\n", + "FRA-Income share held by lowest 20%\n", + "Statistical=0.807, p=0.000\n", + "FRA-Income share held by second 20%\n", + "Statistical=0.850, p=0.000\n", + "FRA-Income share held by third 20%\n", + "Statistical=0.868, p=0.001\n", + "FRA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.826, p=0.000\n", + "FRA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.780, p=0.000\n", + "FRA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.841, p=0.000\n", + "FRA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.868, p=0.001\n", + "FRA-Individuals using the Internet (% of population)\n", + "Statistical=0.842, p=0.000\n", + "FRA-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.813, p=0.000\n", + "FRA-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.463, p=0.000\n", + "FRA-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.790, p=0.000\n", + "FRA-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.771, p=0.000\n", + "FRA-Intentional homicides (per 100,000 people)\n", + "Statistical=0.783, p=0.000\n", + "FRA-Interest payments (% of revenue)\n", + "Statistical=0.843, p=0.000\n", + "FRA-International migrant stock (% of population)\n", + "Statistical=0.885, p=0.003\n", + "FRA-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.870, p=0.001\n", + "FRA-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.781, p=0.000\n", + "FRA-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.757, p=0.000\n", + "FRA-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.774, p=0.000\n", + "FRA-Land area (sq. km)\n", + "Statistical=0.777, p=0.000\n", + "FRA-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.763, p=0.000\n", + "FRA-Land under cereal production (hectares)\n", + "Statistical=0.771, p=0.000\n", + "FRA-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.953, p=0.174\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Lifetime risk of maternal death (%)\n", + "Statistical=0.893, p=0.004\n", + "FRA-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.926, p=0.030\n", + "FRA-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Livestock production index (2014-2016 = 100)\n", "Statistical=0.836, p=0.000\n", - "USA-Exports-G&S\n", - "Statistical=0.833, p=0.000\n", - "USA-Fertility rate\n", - "Statistical=0.901, p=0.007\n", - "USA-Foreign investment\n", + "FRA-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=0.920, p=0.021\n", + "FRA-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.917, p=0.017\n", + "FRA-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.920, p=0.021\n", + "FRA-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.744, p=0.000\n", + "FRA-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.754, p=0.000\n", + "FRA-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.967, p=0.432\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Low-birthweight babies (% of births)\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Lower secondary school starting age (years)\n", + "Statistical=0.904, p=0.008\n", + "FRA-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.882, p=0.002\n", + "FRA-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.913, p=0.014\n", + "FRA-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.906, p=0.009\n", + "FRA-Marine protected areas (% of territorial waters)\n", + "Statistical=0.887, p=0.003\n", + "FRA-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.907, p=0.010\n", + "FRA-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.915, p=0.015\n", + "FRA-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.896, p=0.005\n", + "FRA-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.927, p=0.032\n", + "FRA-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.811, p=0.000\n", + "FRA-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.793, p=0.000\n", + "FRA-Merchandise exports (current US$)\n", + "Statistical=0.954, p=0.181\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.949, p=0.137\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.955, p=0.204\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.958, p=0.244\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.978, p=0.745\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.946, p=0.107\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.966, p=0.406\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.959, p=0.262\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.960, p=0.279\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.952, p=0.161\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.885, p=0.003\n", + "FRA-Merchandise imports (current US$)\n", + "Statistical=0.822, p=0.000\n", + "FRA-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.774, p=0.000\n", + "FRA-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.915, p=0.015\n", + "FRA-Merchandise imports from high-income economies (% of total merchandise imports)\n", "Statistical=0.901, p=0.006\n", - "USA-GDP\n", - "Statistical=0.890, p=0.004\n", - "USA-Education GExp\n", - "Statistical=0.953, p=0.176\n", + "FRA-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.547, p=0.000\n", + "FRA-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.809, p=0.000\n", + "FRA-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.849, p=0.000\n", + "FRA-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.852, p=0.000\n", + "FRA-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.956, p=0.215\n", "Data is NORMAL ( H0 not denied )\n", - "USA-Workers high education\n", - "Statistical=0.943, p=0.092\n", + "FRA-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.929, p=0.038\n", + "FRA-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.881, p=0.002\n", + "FRA-Merchandise trade (% of GDP)\n", + "Statistical=0.973, p=0.582\n", "Data is NORMAL ( H0 not denied )\n", - "USA-Literacy rate\n", - "Statistical=0.690, p=0.000\n", - "USA-Net migration\n", - "Statistical=0.838, p=0.000\n", - "USA-Mortality-infants\n", + "FRA-Methane emissions (% change from 1990)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.950, p=0.145\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Military expenditure (% of GDP)\n", + "Statistical=0.884, p=0.002\n", + "FRA-Military expenditure (% of general government expenditure)\n", + "Statistical=0.861, p=0.001\n", + "FRA-Military expenditure (current USD)\n", + "Statistical=0.918, p=0.019\n", + "FRA-Mineral rents (% of GDP)\n", + "Statistical=0.964, p=0.345\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Mobile cellular subscriptions\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Natural gas rents (% of GDP)\n", + "Statistical=0.915, p=0.015\n", + "FRA-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.884, p=0.002\n", + "FRA-Net capital account (BoP, current US$)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.955, p=0.198\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Net financial account (BoP, current US$)\n", + "Statistical=0.978, p=0.747\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Net migration\n", + "Statistical=0.920, p=0.021\n", + "FRA-Net primary income (BoP, current US$)\n", + "Statistical=0.920, p=0.021\n", + "FRA-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.919, p=0.019\n", + "FRA-Net secondary income (BoP, current US$)\n", + "Statistical=0.846, p=0.000\n", + "FRA-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Net trade in goods (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Net trade in goods and services (BoP, current US$)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "USA-Health services use\n", + "FRA-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-New businesses registered (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.814, p=0.000\n", + "FRA-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.810, p=0.000\n", + "FRA-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Number of deaths ages 10-14 years\n", + "Statistical=0.973, p=0.598\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Number of deaths ages 15-19 years\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Number of deaths ages 20-24 years\n", + "Statistical=0.968, p=0.449\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Number of deaths ages 5-9 years\n", + "Statistical=0.946, p=0.112\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Number of infant deaths\n", + "Statistical=0.803, p=0.000\n", + "FRA-Number of maternal deaths\n", + "Statistical=0.957, p=0.223\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Number of neonatal deaths\n", "Statistical=0.937, p=0.062\n", "Data is NORMAL ( H0 not denied )\n", - "USA-R&D GExp\n", - "Statistical=0.939, p=0.071\n", + "FRA-Number of under-five deaths\n", + "Statistical=0.920, p=0.021\n", + "FRA-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.911, p=0.012\n", + "FRA-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.897, p=0.005\n", + "FRA-Oil rents (% of GDP)\n", + "Statistical=0.937, p=0.063\n", "Data is NORMAL ( H0 not denied )\n", - "USA-Ninis\n", - "Statistical=0.939, p=0.068\n", + "FRA-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.937, p=0.063\n", "Data is NORMAL ( H0 not denied )\n", - "USA-Suicide\n", - "Statistical=0.884, p=0.002\n", - "USA-International taxes\n", - "Statistical=0.764, p=0.000\n", - "USA-Alcohol per capita\n", - "Statistical=0.835, p=0.000\n", - "CHN-Exports-Commercial services\n", - "Statistical=0.957, p=0.247\n", + "FRA-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.926, p=0.031\n", + "FRA-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.925, p=0.028\n", + "FRA-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.905, p=0.008\n", + "FRA-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.926, p=0.030\n", + "FRA-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.917, p=0.018\n", + "FRA-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.917, p=0.018\n", + "FRA-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.927, p=0.033\n", + "FRA-People using at least basic drinking water services (% of population)\n", + "Statistical=0.846, p=0.000\n", + "FRA-People using at least basic sanitation services (% of population)\n", + "Statistical=0.932, p=0.045\n", + "FRA-People using safely managed sanitation services (% of population)\n", + "Statistical=0.932, p=0.045\n", + "FRA-Permanent cropland (% of land area)\n", + "Statistical=0.986, p=0.946\n", "Data is NORMAL ( H0 not denied )\n", - "CHN-Renewable electricity\n", - "Statistical=0.717, p=0.000\n", - "CHN-Employment-agriculture\n", - "Statistical=0.929, p=0.042\n", - "CHN-Employment-industry\n", - "Statistical=0.923, p=0.028\n", - "CHN-Employment-services\n", + "FRA-Physicians (per 1,000 people)\n", + "Statistical=0.893, p=0.004\n", + "FRA-Population ages 0-14 (% of total population)\n", + "Statistical=0.893, p=0.004\n", + "FRA-Population ages 15-64 (% of total population)\n", + "Statistical=0.927, p=0.033\n", + "FRA-Population ages 65 and above (% of total population)\n", + "Statistical=0.868, p=0.001\n", + "FRA-Population density (people per sq. km of land area)\n", + "Statistical=0.979, p=0.783\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Population growth (annual %)\n", + "Statistical=0.893, p=0.004\n", + "FRA-Population in largest city\n", + "Statistical=0.943, p=0.093\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Population in the largest city (% of urban population)\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Population in urban agglomerations of more than 1 million\n", "Statistical=0.878, p=0.002\n", - "CHN-Exports-G&S\n", - "Statistical=0.955, p=0.209\n", + "FRA-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.889, p=0.003\n", + "FRA-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.917, p=0.018\n", + "FRA-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.938, p=0.064\n", "Data is NORMAL ( H0 not denied )\n", - "CHN-Fertility rate\n", - "Statistical=0.897, p=0.006\n", - "CHN-Foreign investment\n", - "Statistical=0.839, p=0.000\n", - "CHN-GDP\n", - "Statistical=0.876, p=0.002\n", - "CHN-Education GExp\n", - "Statistical=0.933, p=0.054\n", + "FRA-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.927, p=0.033\n", + "FRA-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=0.832, p=0.000\n", + "FRA-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.914, p=0.015\n", + "FRA-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.914, p=0.015\n", + "FRA-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.926, p=0.030\n", + "FRA-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.847, p=0.000\n", + "FRA-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.990, p=0.989\n", "Data is NORMAL ( H0 not denied )\n", - "CHN-Workers high education\n", - "Statistical=0.824, p=0.000\n", - "CHN-Literacy rate\n", - "Statistical=0.846, p=0.000\n", - "CHN-Net migration\n", - "Statistical=0.718, p=0.000\n", - "CHN-Mortality-infants\n", - "Statistical=0.858, p=0.001\n", - "CHN-Health services use\n", - "Statistical=0.896, p=0.006\n", - "CHN-R&D GExp\n", - "Statistical=0.874, p=0.002\n", - "CHN-Ninis\n", + "FRA-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.892, p=0.004\n", + "FRA-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.892, p=0.004\n", + "FRA-Prevalence of undernourishment (% of population)\n", + "Statistical=0.925, p=0.029\n", + "FRA-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.981, p=0.830\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Primary income payments (BoP, current US$)\n", + "Statistical=0.847, p=0.000\n", + "FRA-Primary income receipts (BoP, current US$)\n", + "Statistical=0.892, p=0.004\n", + "FRA-Primary school starting age (years)\n", + "Statistical=0.942, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Private credit bureau coverage (% of adults)\n", + "Statistical=0.827, p=0.000\n", + "FRA-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.914, p=0.015\n", + "FRA-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.926, p=0.030\n", + "FRA-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.983, p=0.886\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Procedures to build a warehouse (number)\n", + "Statistical=0.964, p=0.361\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Procedures to register property (number)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Profit tax (% of commercial profits)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Progression to secondary school (%)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.852, p=0.000\n", + "FRA-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.885, p=0.003\n", + "FRA-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.869, p=0.001\n", + "FRA-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.710, p=0.000\n", + "FRA-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Public credit registry coverage (% of adults)\n", + "Statistical=0.881, p=0.002\n", + "FRA-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.845, p=0.000\n", + "FRA-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.860, p=0.001\n", + "FRA-Rail lines (total route-km)\n", + "Statistical=0.361, p=0.000\n", + "FRA-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.286, p=0.000\n", + "FRA-Ratio of female to male labor force participation rate (%) (national estimate)\n", "Statistical=nan, p=1.000\n", "Data is NORMAL ( H0 not denied )\n", - "CHN-Suicide\n", - "Statistical=0.867, p=0.001\n", - "CHN-International taxes\n", - "Statistical=0.704, p=0.000\n", - "CHN-Alcohol per capita\n", - "Statistical=0.822, p=0.000\n" + "FRA-Refugee population by country or territory of asylum\n", + "Statistical=0.952, p=0.166\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Refugee population by country or territory of origin\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.923, p=0.026\n", + "FRA-Research and development expenditure (% of GDP)\n", + "Statistical=0.847, p=0.000\n", + "FRA-Researchers in R&D (per million people)\n", + "Statistical=0.926, p=0.031\n", + "FRA-Reserves and related items (BoP, current US$)\n", + "Statistical=0.955, p=0.198\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.948, p=0.125\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Rural land area (sq. km)\n", + "Statistical=0.875, p=0.002\n", + "FRA-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.963, p=0.337\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.974, p=0.607\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Rural population\n", + "Statistical=0.915, p=0.015\n", + "FRA-Rural population (% of total population)\n", + "Statistical=0.915, p=0.015\n", + "FRA-Rural population growth (annual %)\n", + "Statistical=0.906, p=0.009\n", + "FRA-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.834, p=0.000\n", + "FRA-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Scientific and technical journal articles\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.613, p=0.000\n", + "FRA-Secure Internet servers\n", + "Statistical=0.918, p=0.019\n", + "FRA-Secure Internet servers (per 1 million people)\n", + "Statistical=0.913, p=0.013\n", + "FRA-Service exports (BoP, current US$)\n", + "Statistical=0.913, p=0.013\n", + "FRA-Service imports (BoP, current US$)\n", + "Statistical=0.916, p=0.017\n", + "FRA-Sex ratio at birth (male births per female births)\n", + "Statistical=0.837, p=0.000\n", + "FRA-Social contributions (% of revenue)\n", + "Statistical=0.922, p=0.023\n", + "FRA-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.955, p=0.195\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Start-up procedures to register a business (number)\n", + "Statistical=0.964, p=0.346\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.946, p=0.110\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.884, p=0.002\n", + "FRA-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.924, p=0.027\n", + "FRA-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.924, p=0.027\n", + "FRA-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.925, p=0.029\n", + "FRA-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.843, p=0.000\n", + "FRA-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.838, p=0.000\n", + "FRA-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.722, p=0.000\n", + "FRA-Surface area (sq. km)\n", + "Statistical=0.692, p=0.000\n", + "FRA-Tax payments (number)\n", + "Statistical=0.906, p=0.009\n", + "FRA-Tax revenue (% of GDP)\n", + "Statistical=0.973, p=0.577\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Taxes less subsidies on products (current US$)\n", + "Statistical=0.901, p=0.007\n", + "FRA-Taxes on goods and services (% of revenue)\n", + "Statistical=0.901, p=0.007\n", + "FRA-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.916, p=0.016\n", + "FRA-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.850, p=0.000\n", + "FRA-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.882, p=0.002\n", + "FRA-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.966, p=0.396\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Time required to build a warehouse (days)\n", + "Statistical=0.901, p=0.007\n", + "FRA-Time required to enforce a contract (days)\n", + "Statistical=0.926, p=0.030\n", + "FRA-Time required to get electricity (days)\n", + "Statistical=0.954, p=0.184\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Time required to register property (days)\n", + "Statistical=0.916, p=0.016\n", + "FRA-Time required to start a business (days)\n", + "Statistical=0.671, p=0.000\n", + "FRA-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.751, p=0.000\n", + "FRA-Time to obtain an electrical connection (days)\n", + "Statistical=0.758, p=0.000\n", + "FRA-Time to prepare and pay taxes (hours)\n", + "Statistical=0.745, p=0.000\n", + "FRA-Time to resolve insolvency (years)\n", + "Statistical=0.634, p=0.000\n", + "FRA-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.526, p=0.000\n", + "FRA-Total fisheries production (metric tons)\n", + "Statistical=0.544, p=0.000\n", + "FRA-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.495, p=0.000\n", + "FRA-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.700, p=0.000\n", + "FRA-Total natural resources rents (% of GDP)\n", + "Statistical=0.766, p=0.000\n", + "FRA-Total reserves (includes gold, current US$)\n", + "Statistical=0.792, p=0.000\n", + "FRA-Total reserves in months of imports\n", + "Statistical=0.824, p=0.000\n", + "FRA-Total reserves minus gold (current US$)\n", + "Statistical=0.863, p=0.001\n", + "FRA-Total tax and contribution rate (% of profit)\n", + "Statistical=0.896, p=0.005\n", + "FRA-Trade (% of GDP)\n", + "Statistical=0.776, p=0.000\n", + "FRA-Trade in services (% of GDP)\n", + "Statistical=0.837, p=0.000\n", + "FRA-Transport services (% of commercial service exports)\n", + "Statistical=0.811, p=0.000\n", + "FRA-Transport services (% of commercial service imports)\n", + "Statistical=0.847, p=0.000\n", + "FRA-Transport services (% of service exports, BoP)\n", + "Statistical=0.895, p=0.005\n", + "FRA-Transport services (% of service imports, BoP)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Travel services (% of commercial service exports)\n", + "Statistical=0.861, p=0.001\n", + "FRA-Travel services (% of commercial service imports)\n", + "Statistical=0.974, p=0.609\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Travel services (% of service exports, BoP)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Travel services (% of service imports, BoP)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.925, p=0.029\n", + "FRA-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.859, p=0.001\n", + "FRA-UHC service coverage index\n", + "Statistical=0.843, p=0.000\n", + "FRA-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.821, p=0.000\n", + "FRA-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.917, p=0.017\n", + "FRA-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.955, p=0.206\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Urban land area (sq. km)\n", + "Statistical=0.957, p=0.227\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.906, p=0.009\n", + "FRA-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.925, p=0.028\n", + "FRA-Urban population\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Urban population (% of total population)\n", + "Statistical=0.966, p=0.395\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Urban population growth (annual %)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-GDP (current US$)+1\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=0.820, p=0.000\n", + "FRA-GDP (current US$)+2\n", + "Statistical=0.731, p=0.000\n", + "FRA-GDP (current US$)+3\n", + "Statistical=0.826, p=0.000\n", + "FRA-GDP (current US$)+5\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-GDP (current US$)+8\n", + "Statistical=0.977, p=0.705\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-GDP (current US$)+13\n", + "Statistical=0.885, p=0.003\n", + "FRA-GDP (current US$)+21\n", + "Statistical=0.885, p=0.003\n", + "FRA-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.919, p=0.020\n", + "FRA-Deposit interest rate (%)\n", + "Statistical=0.905, p=0.008\n", + "FRA-Other taxes (% of revenue)\n", + "Statistical=0.916, p=0.016\n", + "FRA-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.955, p=0.194\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Taxes on international trade (% of revenue)\n", + "Statistical=0.955, p=0.194\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.959, p=0.254\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Broad money (% of GDP)\n", + "Statistical=0.922, p=0.023\n", + "FRA-Broad money growth (annual %)\n", + "Statistical=0.952, p=0.159\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Broad money to total reserves ratio\n", + "Statistical=0.923, p=0.026\n", + "FRA-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.951, p=0.151\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.870, p=0.001\n", + "FRA-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.901, p=0.007\n", + "FRA-External health expenditure (% of current health expenditure)\n", + "Statistical=0.964, p=0.347\n", + "Data is NORMAL ( H0 not denied )\n", + "FRA-External health expenditure per capita (current US$)\n", + "Statistical=0.713, p=0.000\n", + "FRA-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.858, p=0.001\n", + "FRA-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.881, p=0.002\n", + "FRA-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.922, p=0.024\n", + "FRA-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.913, p=0.013\n", + "FRA-People practicing open defecation (% of population)\n", + "Statistical=0.932, p=0.046\n", + "FRA-Taxes on exports (% of tax revenue)\n", + "Statistical=0.912, p=0.013\n", + "FRA-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.758, p=0.000\n", + "FRA-Country\n", + "Statistical=0.895, p=0.005\n", + "FRA-Year\n", + "Statistical=0.874, p=0.001\n", + "FRA-Continent\n", + "Statistical=0.915, p=0.015\n", + "SWE-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.606, p=0.000\n", + "SWE-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.619, p=0.000\n", + "SWE-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.642, p=0.000\n", + "SWE-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.642, p=0.000\n", + "SWE-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.617, p=0.000\n", + "SWE-Age dependency ratio (% of working-age population)\n", + "Statistical=0.716, p=0.000\n", + "SWE-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.662, p=0.000\n", + "SWE-Agricultural land (% of land area)\n", + "Statistical=0.617, p=0.000\n", + "SWE-Agricultural land (sq. km)\n", + "Statistical=0.615, p=0.000\n", + "SWE-Agricultural methane emissions (% of total)\n", + "Statistical=0.965, p=0.363\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.828, p=0.000\n", + "SWE-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.672, p=0.000\n", + "SWE-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.966, p=0.393\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.940, p=0.076\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.859, p=0.001\n", + "SWE-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.969, p=0.478\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Aquaculture production (metric tons)\n", + "Statistical=0.913, p=0.013\n", + "SWE-Arable land (% of land area)\n", + "Statistical=0.888, p=0.003\n", + "SWE-Arable land (hectares per person)\n", + "Statistical=0.966, p=0.403\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Arable land (hectares)\n", + "Statistical=0.890, p=0.003\n", + "SWE-Armed forces personnel (% of total labor force)\n", + "Statistical=0.966, p=0.409\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.890, p=0.003\n", + "SWE-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.926, p=0.030\n", + "SWE-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Average precipitation in depth (mm per year)\n", + "Statistical=0.933, p=0.048\n", + "SWE-Average time to clear exports through customs (days)\n", + "Statistical=0.857, p=0.001\n", + "SWE-Births attended by skilled health staff (% of total)\n", + "Statistical=0.957, p=0.230\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.926, p=0.030\n", + "SWE-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.934, p=0.050\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-CO2 emissions (kt)\n", + "Statistical=0.912, p=0.013\n", + "SWE-CO2 emissions (metric tons per capita)\n", + "Statistical=0.872, p=0.001\n", + "SWE-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.918, p=0.018\n", + "SWE-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.873, p=0.001\n", + "SWE-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.909, p=0.010\n", + "SWE-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.807, p=0.000\n", + "SWE-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.578, p=0.000\n", + "SWE-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.804, p=0.000\n", + "SWE-Capture fisheries production (metric tons)\n", + "Statistical=0.805, p=0.000\n", + "SWE-Cereal production (metric tons)\n", + "Statistical=0.926, p=0.030\n", + "SWE-Cereal yield (kg per hectare)\n", + "Statistical=0.810, p=0.000\n", + "SWE-Changes in inventories (current US$)\n", + "Statistical=0.949, p=0.135\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.836, p=0.000\n", + "SWE-Children out of school (% of primary school age)\n", + "Statistical=0.900, p=0.006\n", + "SWE-Coal rents (% of GDP)\n", + "Statistical=0.915, p=0.016\n", + "SWE-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.723, p=0.000\n", + "SWE-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.792, p=0.000\n", + "SWE-Commercial service exports (current US$)\n", + "Statistical=0.801, p=0.000\n", + "SWE-Commercial service imports (current US$)\n", + "Statistical=0.907, p=0.009\n", + "SWE-Completeness of birth registration (%)\n", + "Statistical=0.809, p=0.000\n", + "SWE-Consumer price index (2010 = 100)\n", + "Statistical=0.977, p=0.695\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.901, p=0.006\n", + "SWE-Crop production index (2014-2016 = 100)\n", + "Statistical=0.961, p=0.301\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Current account balance (% of GDP)\n", + "Statistical=0.835, p=0.000\n", + "SWE-Current account balance (BoP, current US$)\n", + "Statistical=0.976, p=0.677\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Current health expenditure (% of GDP)\n", + "Statistical=0.925, p=0.029\n", + "SWE-Current health expenditure per capita (current US$)\n", + "Statistical=0.925, p=0.029\n", + "SWE-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.954, p=0.183\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.978, p=0.746\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.901, p=0.006\n", + "SWE-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.817, p=0.000\n", + "SWE-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.930, p=0.039\n", + "SWE-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.816, p=0.000\n", + "SWE-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.953, p=0.176\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.868, p=0.001\n", + "SWE-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.680, p=0.000\n", + "SWE-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.906, p=0.009\n", + "SWE-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.816, p=0.000\n", + "SWE-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.816, p=0.000\n", + "SWE-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.905, p=0.008\n", + "SWE-Electric power consumption (kWh per capita)\n", + "Statistical=0.920, p=0.021\n", + "SWE-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Electricity production from coal sources (% of total)\n", + "Statistical=0.931, p=0.042\n", + "SWE-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.839, p=0.000\n", + "SWE-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.842, p=0.000\n", + "SWE-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.948, p=0.123\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Electricity production from oil sources (% of total)\n", + "Statistical=0.861, p=0.001\n", + "SWE-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.904, p=0.008\n", + "SWE-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.523, p=0.000\n", + "SWE-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.944, p=0.098\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Export unit value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Export value index (2000 = 100)\n", + "Statistical=0.754, p=0.000\n", + "SWE-Export volume index (2000 = 100)\n", + "Statistical=0.773, p=0.000\n", + "SWE-Exports of goods and services (% of GDP)\n", + "Statistical=0.778, p=0.000\n", + "SWE-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.896, p=0.005\n", + "SWE-Exports of goods and services (current US$)\n", + "Statistical=0.892, p=0.004\n", + "SWE-External balance on goods and services (% of GDP)\n", + "Statistical=0.919, p=0.019\n", + "SWE-External balance on goods and services (current US$)\n", + "Statistical=0.975, p=0.634\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.615, p=0.000\n", + "SWE-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.905, p=0.009\n", + "SWE-Final consumption expenditure (% of GDP)\n", + "Statistical=0.905, p=0.009\n", + "SWE-Final consumption expenditure (current US$)\n", + "Statistical=0.880, p=0.002\n", + "SWE-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.923, p=0.025\n", + "SWE-Firms offering formal training (% of firms)\n", + "Statistical=0.909, p=0.011\n", + "SWE-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.947, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.965, p=0.377\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Fixed broadband subscriptions\n", + "Statistical=0.913, p=0.014\n", + "SWE-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.895, p=0.005\n", + "SWE-Fixed telephone subscriptions\n", + "Statistical=0.905, p=0.008\n", + "SWE-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.876, p=0.002\n", + "SWE-Food exports (% of merchandise exports)\n", + "Statistical=0.814, p=0.000\n", + "SWE-Food imports (% of merchandise imports)\n", + "Statistical=0.902, p=0.007\n", + "SWE-Food production index (2014-2016 = 100)\n", + "Statistical=0.919, p=0.020\n", + "SWE-Forest area (% of land area)\n", + "Statistical=0.857, p=0.001\n", + "SWE-Forest area (sq. km)\n", + "Statistical=0.900, p=0.006\n", + "SWE-Forest rents (% of GDP)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.919, p=0.019\n", + "SWE-Fuel exports (% of merchandise exports)\n", + "Statistical=0.835, p=0.000\n", + "SWE-Fuel imports (% of merchandise imports)\n", + "Statistical=0.814, p=0.000\n", + "SWE-GDP (current US$)\n", + "Statistical=0.967, p=0.432\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-GDP deflator (base year varies by country)\n", + "Statistical=0.962, p=0.310\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.954, p=0.182\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-GDP growth (annual %)\n", + "Statistical=0.971, p=0.533\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-GDP per capita (current US$)\n", + "Statistical=0.811, p=0.000\n", + "SWE-GDP per capita growth (annual %)\n", + "Statistical=0.859, p=0.001\n", + "SWE-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.904, p=0.008\n", + "SWE-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.800, p=0.000\n", + "SWE-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.611, p=0.000\n", + "SWE-GNI (current US$)\n", + "Statistical=0.913, p=0.013\n", + "SWE-GNI growth (annual %)\n", + "Statistical=0.755, p=0.000\n", + "SWE-GNI per capita growth (annual %)\n", + "Statistical=0.577, p=0.000\n", + "SWE-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.977, p=0.700\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-General government final consumption expenditure (current US$)\n", + "Statistical=0.914, p=0.014\n", + "SWE-Gini index\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Goods imports (BoP, current US$)\n", + "Statistical=0.867, p=0.001\n", + "SWE-Grants and other revenue (% of revenue)\n", + "Statistical=0.677, p=0.000\n", + "SWE-Gross capital formation (% of GDP)\n", + "Statistical=0.849, p=0.000\n", + "SWE-Gross capital formation (current US$)\n", + "Statistical=0.879, p=0.002\n", + "SWE-Gross domestic savings (% of GDP)\n", + "Statistical=0.969, p=0.484\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Gross domestic savings (current US$)\n", + "Statistical=0.955, p=0.197\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.968, p=0.443\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Gross savings (% of GDP)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Gross savings (current US$)\n", + "Statistical=0.969, p=0.482\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.837, p=0.000\n", + "SWE-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.555, p=0.000\n", + "SWE-High-technology exports (% of manufactured exports)\n", + "Statistical=0.555, p=0.000\n", + "SWE-High-technology exports (current US$)\n", + "Statistical=0.866, p=0.001\n", + "SWE-Hospital beds (per 1,000 people)\n", + "Statistical=0.828, p=0.000\n", + "SWE-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.852, p=0.000\n", + "SWE-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.738, p=0.000\n", + "SWE-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.738, p=0.000\n", + "SWE-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.738, p=0.000\n", + "SWE-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.952, p=0.159\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.908, p=0.010\n", + "SWE-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.965, p=0.363\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.791, p=0.000\n", + "SWE-ICT goods exports (% of total goods exports)\n", + "Statistical=0.701, p=0.000\n", + "SWE-ICT goods imports (% total goods imports)\n", + "Statistical=0.860, p=0.001\n", + "SWE-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.763, p=0.000\n", + "SWE-ICT service exports (BoP, current US$)\n", + "Statistical=0.836, p=0.000\n", + "SWE-Import unit value index (2000 = 100)\n", + "Statistical=0.815, p=0.000\n", + "SWE-Import value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Import volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Imports of goods and services (% of GDP)\n", + "Statistical=0.974, p=0.608\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.953, p=0.174\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Imports of goods and services (current US$)\n", + "Statistical=0.667, p=0.000\n", + "SWE-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "SWE-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Income share held by lowest 10%\n", + "Statistical=0.812, p=0.000\n", + "SWE-Income share held by lowest 20%\n", + "Statistical=0.832, p=0.000\n", + "SWE-Income share held by second 20%\n", + "Statistical=0.741, p=0.000\n", + "SWE-Income share held by third 20%\n", + "Statistical=0.789, p=0.000\n", + "SWE-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.762, p=0.000\n", + "SWE-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.834, p=0.000\n", + "SWE-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.807, p=0.000\n", + "SWE-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.789, p=0.000\n", + "SWE-Individuals using the Internet (% of population)\n", + "Statistical=0.852, p=0.000\n", + "SWE-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.845, p=0.000\n", + "SWE-Industry (including construction), value added (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.434, p=0.000\n", + "SWE-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.884, p=0.002\n", + "SWE-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.893, p=0.004\n", + "SWE-Intentional homicides (per 100,000 people)\n", + "Statistical=0.888, p=0.003\n", + "SWE-Interest payments (% of revenue)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-International migrant stock (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.738, p=0.000\n", + "SWE-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.752, p=0.000\n", + "SWE-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.733, p=0.000\n", + "SWE-Land area (sq. km)\n", + "Statistical=0.899, p=0.006\n", + "SWE-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.829, p=0.000\n", + "SWE-Land under cereal production (hectares)\n", + "Statistical=0.865, p=0.001\n", + "SWE-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.857, p=0.001\n", + "SWE-Lifetime risk of maternal death (%)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.872, p=0.001\n", + "SWE-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.938, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.896, p=0.005\n", + "SWE-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.888, p=0.003\n", + "SWE-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.913, p=0.014\n", + "SWE-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.834, p=0.000\n", + "SWE-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.830, p=0.000\n", + "SWE-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.974, p=0.622\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.969, p=0.484\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Low-birthweight babies (% of births)\n", + "Statistical=0.929, p=0.037\n", + "SWE-Lower secondary school starting age (years)\n", + "Statistical=0.895, p=0.005\n", + "SWE-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.878, p=0.002\n", + "SWE-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.898, p=0.005\n", + "SWE-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.886, p=0.003\n", + "SWE-Marine protected areas (% of territorial waters)\n", + "Statistical=0.864, p=0.001\n", + "SWE-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.896, p=0.005\n", + "SWE-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.891, p=0.004\n", + "SWE-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.858, p=0.001\n", + "SWE-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.903, p=0.007\n", + "SWE-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.983, p=0.872\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.927, p=0.033\n", + "SWE-Merchandise exports (current US$)\n", + "Statistical=0.975, p=0.652\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.968, p=0.444\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.957, p=0.233\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.959, p=0.254\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.952, p=0.162\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.961, p=0.298\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.962, p=0.306\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.886, p=0.003\n", + "SWE-Merchandise imports (current US$)\n", + "Statistical=0.846, p=0.000\n", + "SWE-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.800, p=0.000\n", + "SWE-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.929, p=0.037\n", + "SWE-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.859, p=0.001\n", + "SWE-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Statistical=0.945, p=0.103\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.833, p=0.000\n", + "SWE-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.851, p=0.000\n", + "SWE-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.867, p=0.001\n", + "SWE-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.905, p=0.008\n", + "SWE-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.858, p=0.001\n", + "SWE-Merchandise trade (% of GDP)\n", + "Statistical=0.978, p=0.743\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Methane emissions (% change from 1990)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.954, p=0.188\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Military expenditure (% of GDP)\n", + "Statistical=0.858, p=0.001\n", + "SWE-Military expenditure (% of general government expenditure)\n", + "Statistical=0.862, p=0.001\n", + "SWE-Military expenditure (current USD)\n", + "Statistical=0.922, p=0.024\n", + "SWE-Mineral rents (% of GDP)\n", + "Statistical=0.927, p=0.032\n", + "SWE-Mobile cellular subscriptions\n", + "Statistical=0.932, p=0.044\n", + "SWE-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Natural gas rents (% of GDP)\n", + "Statistical=0.967, p=0.410\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.760, p=0.000\n", + "SWE-Net capital account (BoP, current US$)\n", + "Statistical=0.978, p=0.739\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.982, p=0.842\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Net financial account (BoP, current US$)\n", + "Statistical=0.947, p=0.118\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Net migration\n", + "Statistical=0.914, p=0.014\n", + "SWE-Net primary income (BoP, current US$)\n", + "Statistical=0.914, p=0.014\n", + "SWE-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.932, p=0.044\n", + "SWE-Net secondary income (BoP, current US$)\n", + "Statistical=0.874, p=0.001\n", + "SWE-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.523, p=0.000\n", + "SWE-Net trade in goods (BoP, current US$)\n", + "Statistical=0.523, p=0.000\n", + "SWE-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.523, p=0.000\n", + "SWE-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.523, p=0.000\n", + "SWE-New businesses registered (number)\n", + "Statistical=0.523, p=0.000\n", + "SWE-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.811, p=0.000\n", + "SWE-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.797, p=0.000\n", + "SWE-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.816, p=0.000\n", + "SWE-Number of deaths ages 10-14 years\n", + "Statistical=0.831, p=0.000\n", + "SWE-Number of deaths ages 15-19 years\n", + "Statistical=0.881, p=0.002\n", + "SWE-Number of deaths ages 20-24 years\n", + "Statistical=0.894, p=0.004\n", + "SWE-Number of deaths ages 5-9 years\n", + "Statistical=0.971, p=0.522\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Number of infant deaths\n", + "Statistical=0.919, p=0.020\n", + "SWE-Number of maternal deaths\n", + "Statistical=0.978, p=0.749\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Number of neonatal deaths\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Number of under-five deaths\n", + "Statistical=0.956, p=0.217\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.984, p=0.906\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.971, p=0.522\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Oil rents (% of GDP)\n", + "Statistical=0.961, p=0.298\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.890, p=0.004\n", + "SWE-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.874, p=0.001\n", + "SWE-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.932, p=0.044\n", + "SWE-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.968, p=0.441\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.930, p=0.038\n", + "SWE-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.930, p=0.038\n", + "SWE-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-People using at least basic drinking water services (% of population)\n", + "Statistical=0.861, p=0.001\n", + "SWE-People using at least basic sanitation services (% of population)\n", + "Statistical=0.967, p=0.415\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-People using safely managed sanitation services (% of population)\n", + "Statistical=0.967, p=0.415\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Permanent cropland (% of land area)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Physicians (per 1,000 people)\n", + "Statistical=0.897, p=0.005\n", + "SWE-Population ages 0-14 (% of total population)\n", + "Statistical=0.897, p=0.005\n", + "SWE-Population ages 15-64 (% of total population)\n", + "Statistical=0.937, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Population ages 65 and above (% of total population)\n", + "Statistical=0.886, p=0.003\n", + "SWE-Population density (people per sq. km of land area)\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Population growth (annual %)\n", + "Statistical=0.897, p=0.005\n", + "SWE-Population in largest city\n", + "Statistical=0.920, p=0.021\n", + "SWE-Population in the largest city (% of urban population)\n", + "Statistical=0.902, p=0.007\n", + "SWE-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.866, p=0.001\n", + "SWE-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.870, p=0.001\n", + "SWE-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.930, p=0.038\n", + "SWE-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.922, p=0.023\n", + "SWE-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=0.853, p=0.000\n", + "SWE-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.930, p=0.039\n", + "SWE-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.930, p=0.039\n", + "SWE-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.856, p=0.001\n", + "SWE-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.927, p=0.032\n", + "SWE-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.889, p=0.003\n", + "SWE-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.889, p=0.003\n", + "SWE-Prevalence of undernourishment (% of population)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Primary income payments (BoP, current US$)\n", + "Statistical=0.825, p=0.000\n", + "SWE-Primary income receipts (BoP, current US$)\n", + "Statistical=0.889, p=0.003\n", + "SWE-Primary school starting age (years)\n", + "Statistical=0.921, p=0.022\n", + "SWE-Private credit bureau coverage (% of adults)\n", + "Statistical=0.825, p=0.000\n", + "SWE-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.930, p=0.039\n", + "SWE-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.924, p=0.026\n", + "SWE-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.987, p=0.952\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Procedures to build a warehouse (number)\n", + "Statistical=0.967, p=0.410\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Procedures to register property (number)\n", + "Statistical=0.916, p=0.016\n", + "SWE-Profit tax (% of commercial profits)\n", + "Statistical=0.916, p=0.016\n", + "SWE-Progression to secondary school (%)\n", + "Statistical=0.930, p=0.039\n", + "SWE-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.867, p=0.001\n", + "SWE-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.892, p=0.004\n", + "SWE-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.869, p=0.001\n", + "SWE-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.915, p=0.015\n", + "SWE-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.878, p=0.002\n", + "SWE-Public credit registry coverage (% of adults)\n", + "Statistical=0.814, p=0.000\n", + "SWE-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.867, p=0.001\n", + "SWE-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.888, p=0.003\n", + "SWE-Rail lines (total route-km)\n", + "Statistical=0.858, p=0.001\n", + "SWE-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Refugee population by country or territory of asylum\n", + "Statistical=0.965, p=0.383\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Refugee population by country or territory of origin\n", + "Statistical=0.984, p=0.903\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.944, p=0.098\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.944, p=0.098\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.920, p=0.021\n", + "SWE-Research and development expenditure (% of GDP)\n", + "Statistical=0.876, p=0.002\n", + "SWE-Researchers in R&D (per million people)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Reserves and related items (BoP, current US$)\n", + "Statistical=0.982, p=0.842\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Rural land area (sq. km)\n", + "Statistical=0.848, p=0.000\n", + "SWE-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.966, p=0.401\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Rural population\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Rural population (% of total population)\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Rural population growth (annual %)\n", + "Statistical=0.921, p=0.022\n", + "SWE-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.874, p=0.001\n", + "SWE-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.926, p=0.030\n", + "SWE-Scientific and technical journal articles\n", + "Statistical=0.945, p=0.103\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Secure Internet servers\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Secure Internet servers (per 1 million people)\n", + "Statistical=0.926, p=0.030\n", + "SWE-Service exports (BoP, current US$)\n", + "Statistical=0.926, p=0.030\n", + "SWE-Service imports (BoP, current US$)\n", + "Statistical=0.921, p=0.022\n", + "SWE-Sex ratio at birth (male births per female births)\n", + "Statistical=0.867, p=0.001\n", + "SWE-Social contributions (% of revenue)\n", + "Statistical=0.964, p=0.346\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Start-up procedures to register a business (number)\n", + "Statistical=0.944, p=0.097\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.948, p=0.130\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.860, p=0.001\n", + "SWE-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.930, p=0.039\n", + "SWE-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.930, p=0.039\n", + "SWE-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.863, p=0.001\n", + "SWE-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.823, p=0.000\n", + "SWE-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.870, p=0.001\n", + "SWE-Surface area (sq. km)\n", + "Statistical=0.779, p=0.000\n", + "SWE-Tax payments (number)\n", + "Statistical=0.787, p=0.000\n", + "SWE-Tax revenue (% of GDP)\n", + "Statistical=0.986, p=0.943\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Taxes less subsidies on products (current US$)\n", + "Statistical=0.917, p=0.017\n", + "SWE-Taxes on goods and services (% of revenue)\n", + "Statistical=0.917, p=0.017\n", + "SWE-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.877, p=0.002\n", + "SWE-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.909, p=0.011\n", + "SWE-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.986, p=0.944\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Time required to build a warehouse (days)\n", + "Statistical=0.917, p=0.017\n", + "SWE-Time required to enforce a contract (days)\n", + "Statistical=0.907, p=0.009\n", + "SWE-Time required to get electricity (days)\n", + "Statistical=0.966, p=0.389\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Time required to register property (days)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Time required to start a business (days)\n", + "Statistical=0.427, p=0.000\n", + "SWE-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.383, p=0.000\n", + "SWE-Time to obtain an electrical connection (days)\n", + "Statistical=0.450, p=0.000\n", + "SWE-Time to prepare and pay taxes (hours)\n", + "Statistical=0.359, p=0.000\n", + "SWE-Time to resolve insolvency (years)\n", + "Statistical=0.411, p=0.000\n", + "SWE-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.430, p=0.000\n", + "SWE-Total fisheries production (metric tons)\n", + "Statistical=0.413, p=0.000\n", + "SWE-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.660, p=0.000\n", + "SWE-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.351, p=0.000\n", + "SWE-Total natural resources rents (% of GDP)\n", + "Statistical=0.792, p=0.000\n", + "SWE-Total reserves (includes gold, current US$)\n", + "Statistical=0.857, p=0.001\n", + "SWE-Total reserves in months of imports\n", + "Statistical=0.914, p=0.014\n", + "SWE-Total reserves minus gold (current US$)\n", + "Statistical=0.836, p=0.000\n", + "SWE-Total tax and contribution rate (% of profit)\n", + "Statistical=0.773, p=0.000\n", + "SWE-Trade (% of GDP)\n", + "Statistical=0.571, p=0.000\n", + "SWE-Trade in services (% of GDP)\n", + "Statistical=0.876, p=0.002\n", + "SWE-Transport services (% of commercial service exports)\n", + "Statistical=0.835, p=0.000\n", + "SWE-Transport services (% of commercial service imports)\n", + "Statistical=0.824, p=0.000\n", + "SWE-Transport services (% of service exports, BoP)\n", + "Statistical=0.868, p=0.001\n", + "SWE-Transport services (% of service imports, BoP)\n", + "Statistical=0.909, p=0.010\n", + "SWE-Travel services (% of commercial service exports)\n", + "Statistical=0.854, p=0.000\n", + "SWE-Travel services (% of commercial service imports)\n", + "Statistical=0.967, p=0.410\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Travel services (% of service exports, BoP)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Travel services (% of service imports, BoP)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.859, p=0.001\n", + "SWE-UHC service coverage index\n", + "Statistical=0.849, p=0.000\n", + "SWE-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.900, p=0.006\n", + "SWE-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.944, p=0.097\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Urban land area (sq. km)\n", + "Statistical=0.928, p=0.035\n", + "SWE-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.851, p=0.000\n", + "SWE-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.904, p=0.008\n", + "SWE-Urban population\n", + "Statistical=0.928, p=0.035\n", + "SWE-Urban population (% of total population)\n", + "Statistical=0.932, p=0.043\n", + "SWE-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=0.765, p=0.000\n", + "SWE-GDP (current US$)+2\n", + "Statistical=0.629, p=0.000\n", + "SWE-GDP (current US$)+3\n", + "Statistical=0.689, p=0.000\n", + "SWE-GDP (current US$)+5\n", + "Statistical=0.920, p=0.021\n", + "SWE-GDP (current US$)+8\n", + "Statistical=0.959, p=0.264\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-GDP (current US$)+13\n", + "Statistical=0.870, p=0.001\n", + "SWE-GDP (current US$)+21\n", + "Statistical=0.870, p=0.001\n", + "SWE-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.952, p=0.159\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Deposit interest rate (%)\n", + "Statistical=0.898, p=0.006\n", + "SWE-Other taxes (% of revenue)\n", + "Statistical=0.860, p=0.001\n", + "SWE-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.950, p=0.148\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Taxes on international trade (% of revenue)\n", + "Statistical=0.950, p=0.148\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.953, p=0.181\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Broad money (% of GDP)\n", + "Statistical=0.926, p=0.030\n", + "SWE-Broad money growth (annual %)\n", + "Statistical=0.959, p=0.262\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Broad money to total reserves ratio\n", + "Statistical=0.925, p=0.029\n", + "SWE-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.959, p=0.255\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.967, p=0.422\n", + "Data is NORMAL ( H0 not denied )\n", + "SWE-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.892, p=0.004\n", + "SWE-External health expenditure (% of current health expenditure)\n", + "Statistical=0.919, p=0.019\n", + "SWE-External health expenditure per capita (current US$)\n", + "Statistical=0.532, p=0.000\n", + "SWE-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.892, p=0.004\n", + "SWE-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.885, p=0.003\n", + "SWE-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.886, p=0.003\n", + "SWE-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.806, p=0.000\n", + "SWE-People practicing open defecation (% of population)\n", + "Statistical=0.842, p=0.000\n", + "SWE-Taxes on exports (% of tax revenue)\n", + "Statistical=0.887, p=0.003\n", + "SWE-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.847, p=0.000\n", + "SWE-Country\n", + "Statistical=0.921, p=0.022\n", + "SWE-Year\n", + "Statistical=0.796, p=0.000\n", + "SWE-Continent\n", + "Statistical=0.810, p=0.000\n", + "GBR-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.718, p=0.000\n", + "GBR-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.673, p=0.000\n", + "GBR-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.463, p=0.000\n", + "GBR-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.639, p=0.000\n", + "GBR-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.678, p=0.000\n", + "GBR-Age dependency ratio (% of working-age population)\n", + "Statistical=0.479, p=0.000\n", + "GBR-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.459, p=0.000\n", + "GBR-Agricultural land (% of land area)\n", + "Statistical=0.628, p=0.000\n", + "GBR-Agricultural land (sq. km)\n", + "Statistical=0.532, p=0.000\n", + "GBR-Agricultural methane emissions (% of total)\n", + "Statistical=0.838, p=0.000\n", + "GBR-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.902, p=0.007\n", + "GBR-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.890, p=0.003\n", + "GBR-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.952, p=0.166\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.917, p=0.018\n", + "GBR-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.874, p=0.001\n", + "GBR-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.951, p=0.155\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Aquaculture production (metric tons)\n", + "Statistical=0.867, p=0.001\n", + "GBR-Arable land (% of land area)\n", + "Statistical=0.896, p=0.005\n", + "GBR-Arable land (hectares per person)\n", + "Statistical=0.950, p=0.144\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Arable land (hectares)\n", + "Statistical=0.975, p=0.654\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Armed forces personnel (% of total labor force)\n", + "Statistical=0.953, p=0.177\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.975, p=0.651\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.957, p=0.226\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.863, p=0.001\n", + "GBR-Average precipitation in depth (mm per year)\n", + "Statistical=0.901, p=0.006\n", + "GBR-Average time to clear exports through customs (days)\n", + "Statistical=0.845, p=0.000\n", + "GBR-Births attended by skilled health staff (% of total)\n", + "Statistical=0.893, p=0.004\n", + "GBR-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.867, p=0.001\n", + "GBR-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.986, p=0.936\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.953, p=0.175\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.955, p=0.201\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-CO2 emissions (kt)\n", + "Statistical=0.736, p=0.000\n", + "GBR-CO2 emissions (metric tons per capita)\n", + "Statistical=0.646, p=0.000\n", + "GBR-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.989, p=0.984\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.933, p=0.047\n", + "GBR-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.879, p=0.002\n", + "GBR-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.962, p=0.312\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.875, p=0.002\n", + "GBR-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.868, p=0.001\n", + "GBR-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.789, p=0.000\n", + "GBR-Capture fisheries production (metric tons)\n", + "Statistical=0.734, p=0.000\n", + "GBR-Cereal production (metric tons)\n", + "Statistical=0.951, p=0.154\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Cereal yield (kg per hectare)\n", + "Statistical=0.734, p=0.000\n", + "GBR-Changes in inventories (current US$)\n", + "Statistical=0.892, p=0.004\n", + "GBR-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.740, p=0.000\n", + "GBR-Children out of school (% of primary school age)\n", + "Statistical=0.921, p=0.022\n", + "GBR-Coal rents (% of GDP)\n", + "Statistical=0.921, p=0.022\n", + "GBR-Combustible renewables and waste (% of total energy)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Commercial bank branches (per 100,000 adults)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Commercial service exports (current US$)\n", + "Statistical=0.793, p=0.000\n", + "GBR-Commercial service imports (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Completeness of birth registration (%)\n", + "Statistical=0.716, p=0.000\n", + "GBR-Consumer price index (2010 = 100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.965, p=0.370\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Crop production index (2014-2016 = 100)\n", + "Statistical=0.872, p=0.001\n", + "GBR-Current account balance (% of GDP)\n", + "Statistical=0.836, p=0.000\n", + "GBR-Current account balance (BoP, current US$)\n", + "Statistical=0.930, p=0.040\n", + "GBR-Current health expenditure (% of GDP)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Current health expenditure per capita (current US$)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.966, p=0.402\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.987, p=0.952\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.899, p=0.006\n", + "GBR-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.950, p=0.142\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.962, p=0.304\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.932, p=0.046\n", + "GBR-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.932, p=0.045\n", + "GBR-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.902, p=0.007\n", + "GBR-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.858, p=0.001\n", + "GBR-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.650, p=0.000\n", + "GBR-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.766, p=0.000\n", + "GBR-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.766, p=0.000\n", + "GBR-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.847, p=0.000\n", + "GBR-Electric power consumption (kWh per capita)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Electricity production from coal sources (% of total)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.897, p=0.005\n", + "GBR-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.876, p=0.002\n", + "GBR-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.967, p=0.431\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Electricity production from oil sources (% of total)\n", + "Statistical=0.975, p=0.640\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.878, p=0.002\n", + "GBR-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Energy related methane emissions (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Energy use (kg of oil equivalent per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.977, p=0.713\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Export unit value index (2000 = 100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Export value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Export volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Exports of goods and services (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.916, p=0.017\n", + "GBR-Exports of goods and services (current US$)\n", + "Statistical=0.904, p=0.008\n", + "GBR-External balance on goods and services (% of GDP)\n", + "Statistical=0.976, p=0.689\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-External balance on goods and services (current US$)\n", + "Statistical=0.956, p=0.209\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.946, p=0.112\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Final consumption expenditure (% of GDP)\n", + "Statistical=0.949, p=0.137\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Final consumption expenditure (current US$)\n", + "Statistical=0.925, p=0.028\n", + "GBR-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.823, p=0.000\n", + "GBR-Firms offering formal training (% of firms)\n", + "Statistical=0.848, p=0.000\n", + "GBR-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.872, p=0.001\n", + "GBR-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.900, p=0.006\n", + "GBR-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.929, p=0.037\n", + "GBR-Fixed broadband subscriptions\n", + "Statistical=0.868, p=0.001\n", + "GBR-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.925, p=0.029\n", + "GBR-Fixed telephone subscriptions\n", + "Statistical=0.907, p=0.010\n", + "GBR-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.795, p=0.000\n", + "GBR-Food exports (% of merchandise exports)\n", + "Statistical=0.964, p=0.354\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Food imports (% of merchandise imports)\n", + "Statistical=0.880, p=0.002\n", + "GBR-Food production index (2014-2016 = 100)\n", + "Statistical=0.856, p=0.001\n", + "GBR-Forest area (% of land area)\n", + "Statistical=0.924, p=0.027\n", + "GBR-Forest area (sq. km)\n", + "Statistical=0.892, p=0.004\n", + "GBR-Forest rents (% of GDP)\n", + "Statistical=0.931, p=0.042\n", + "GBR-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.644, p=0.000\n", + "GBR-Fuel exports (% of merchandise exports)\n", + "Statistical=0.838, p=0.000\n", + "GBR-Fuel imports (% of merchandise imports)\n", + "Statistical=0.654, p=0.000\n", + "GBR-GDP (current US$)\n", + "Statistical=0.967, p=0.419\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-GDP deflator (base year varies by country)\n", + "Statistical=0.982, p=0.864\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.965, p=0.371\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-GDP growth (annual %)\n", + "Statistical=0.956, p=0.218\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-GDP per capita (current US$)\n", + "Statistical=0.960, p=0.280\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-GDP per capita growth (annual %)\n", + "Statistical=0.913, p=0.013\n", + "GBR-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.983, p=0.872\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.888, p=0.003\n", + "GBR-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-GNI (current US$)\n", + "Statistical=0.893, p=0.004\n", + "GBR-GNI growth (annual %)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-GNI per capita growth (annual %)\n", + "Statistical=0.950, p=0.147\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.953, p=0.170\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-General government final consumption expenditure (current US$)\n", + "Statistical=0.802, p=0.000\n", + "GBR-Gini index\n", + "Statistical=0.960, p=0.274\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Goods exports (BoP, current US$)\n", + "Statistical=0.794, p=0.000\n", + "GBR-Goods imports (BoP, current US$)\n", + "Statistical=0.761, p=0.000\n", + "GBR-Grants and other revenue (% of revenue)\n", + "Statistical=0.751, p=0.000\n", + "GBR-Gross capital formation (% of GDP)\n", + "Statistical=0.880, p=0.002\n", + "GBR-Gross capital formation (current US$)\n", + "Statistical=0.907, p=0.009\n", + "GBR-Gross domestic savings (% of GDP)\n", + "Statistical=0.952, p=0.160\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Gross domestic savings (current US$)\n", + "Statistical=0.889, p=0.003\n", + "GBR-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Gross savings (% of GDP)\n", + "Statistical=0.930, p=0.038\n", + "GBR-Gross savings (current US$)\n", + "Statistical=0.956, p=0.210\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.860, p=0.001\n", + "GBR-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.779, p=0.000\n", + "GBR-High-technology exports (% of manufactured exports)\n", + "Statistical=0.889, p=0.003\n", + "GBR-High-technology exports (current US$)\n", + "Statistical=0.764, p=0.000\n", + "GBR-Hospital beds (per 1,000 people)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.864, p=0.001\n", + "GBR-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.761, p=0.000\n", + "GBR-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.761, p=0.000\n", + "GBR-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.761, p=0.000\n", + "GBR-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.950, p=0.146\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.973, p=0.575\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.868, p=0.001\n", + "GBR-ICT goods exports (% of total goods exports)\n", + "Statistical=0.901, p=0.006\n", + "GBR-ICT goods imports (% total goods imports)\n", + "Statistical=0.917, p=0.017\n", + "GBR-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.801, p=0.000\n", + "GBR-ICT service exports (BoP, current US$)\n", + "Statistical=0.792, p=0.000\n", + "GBR-Import unit value index (2000 = 100)\n", + "Statistical=0.863, p=0.001\n", + "GBR-Import value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Import volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Imports of goods and services (% of GDP)\n", + "Statistical=0.953, p=0.175\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.908, p=0.010\n", + "GBR-Imports of goods and services (current US$)\n", + "Statistical=0.458, p=0.000\n", + "GBR-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "GBR-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Income share held by lowest 10%\n", + "Statistical=0.917, p=0.017\n", + "GBR-Income share held by lowest 20%\n", + "Statistical=0.915, p=0.016\n", + "GBR-Income share held by second 20%\n", + "Statistical=0.792, p=0.000\n", + "GBR-Income share held by third 20%\n", + "Statistical=0.866, p=0.001\n", + "GBR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.860, p=0.001\n", + "GBR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.787, p=0.000\n", + "GBR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.861, p=0.001\n", + "GBR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.866, p=0.001\n", + "GBR-Individuals using the Internet (% of population)\n", + "Statistical=0.842, p=0.000\n", + "GBR-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.826, p=0.000\n", + "GBR-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.500, p=0.000\n", + "GBR-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.693, p=0.000\n", + "GBR-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.812, p=0.000\n", + "GBR-Intentional homicides (per 100,000 people)\n", + "Statistical=0.699, p=0.000\n", + "GBR-Interest payments (% of revenue)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-International migrant stock (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.672, p=0.000\n", + "GBR-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.682, p=0.000\n", + "GBR-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.677, p=0.000\n", + "GBR-Land area (sq. km)\n", + "Statistical=0.752, p=0.000\n", + "GBR-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.687, p=0.000\n", + "GBR-Land under cereal production (hectares)\n", + "Statistical=0.734, p=0.000\n", + "GBR-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.887, p=0.003\n", + "GBR-Lifetime risk of maternal death (%)\n", + "Statistical=0.855, p=0.001\n", + "GBR-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.894, p=0.004\n", + "GBR-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.923, p=0.025\n", + "GBR-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.890, p=0.003\n", + "GBR-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GBR-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.755, p=0.000\n", + "GBR-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.907, p=0.010\n", + "GBR-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.797, p=0.000\n", + "GBR-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.807, p=0.000\n", + "GBR-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.970, p=0.495\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Low-birthweight babies (% of births)\n", + "Statistical=0.968, p=0.440\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Lower secondary school starting age (years)\n", + "Statistical=0.841, p=0.000\n", + "GBR-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.801, p=0.000\n", + "GBR-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.876, p=0.002\n", + "GBR-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.889, p=0.003\n", + "GBR-Marine protected areas (% of territorial waters)\n", + "Statistical=0.847, p=0.000\n", + "GBR-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.901, p=0.006\n", + "GBR-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.888, p=0.003\n", + "GBR-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.843, p=0.000\n", + "GBR-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.902, p=0.007\n", + "GBR-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.944, p=0.098\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Merchandise exports (current US$)\n", + "Statistical=0.923, p=0.025\n", + "GBR-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.902, p=0.007\n", + "GBR-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.977, p=0.699\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.970, p=0.511\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.950, p=0.142\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.926, p=0.030\n", + "GBR-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.954, p=0.190\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.886, p=0.003\n", + "GBR-Merchandise imports (current US$)\n", + "Statistical=0.847, p=0.000\n", + "GBR-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.715, p=0.000\n", + "GBR-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.808, p=0.000\n", + "GBR-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.899, p=0.006\n", + "GBR-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.890, p=0.003\n", + "GBR-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.896, p=0.005\n", + "GBR-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.827, p=0.000\n", + "GBR-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.947, p=0.119\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.953, p=0.180\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.877, p=0.002\n", + "GBR-Merchandise trade (% of GDP)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Methane emissions (% change from 1990)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Military expenditure (% of GDP)\n", + "Statistical=0.878, p=0.002\n", + "GBR-Military expenditure (% of general government expenditure)\n", + "Statistical=0.931, p=0.042\n", + "GBR-Military expenditure (current USD)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Mineral rents (% of GDP)\n", + "Statistical=0.975, p=0.656\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Mobile cellular subscriptions\n", + "Statistical=0.865, p=0.001\n", + "GBR-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.926, p=0.029\n", + "GBR-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.687, p=0.000\n", + "GBR-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.848, p=0.000\n", + "GBR-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.787, p=0.000\n", + "GBR-Natural gas rents (% of GDP)\n", + "Statistical=0.968, p=0.442\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.934, p=0.050\n", + "GBR-Net capital account (BoP, current US$)\n", + "Statistical=0.900, p=0.006\n", + "GBR-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.986, p=0.948\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Net financial account (BoP, current US$)\n", + "Statistical=0.964, p=0.350\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Net migration\n", + "Statistical=0.926, p=0.031\n", + "GBR-Net primary income (BoP, current US$)\n", + "Statistical=0.926, p=0.031\n", + "GBR-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.941, p=0.081\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Net secondary income (BoP, current US$)\n", + "Statistical=0.865, p=0.001\n", + "GBR-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Net trade in goods (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Net trade in goods and services (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-New businesses registered (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.807, p=0.000\n", + "GBR-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.795, p=0.000\n", + "GBR-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.865, p=0.001\n", + "GBR-Number of deaths ages 10-14 years\n", + "Statistical=0.956, p=0.214\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Number of deaths ages 15-19 years\n", + "Statistical=0.975, p=0.635\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Number of deaths ages 20-24 years\n", + "Statistical=0.981, p=0.818\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Number of deaths ages 5-9 years\n", + "Statistical=0.965, p=0.383\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Number of infant deaths\n", + "Statistical=0.905, p=0.008\n", + "GBR-Number of maternal deaths\n", + "Statistical=0.970, p=0.496\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Number of neonatal deaths\n", + "Statistical=0.881, p=0.002\n", + "GBR-Number of under-five deaths\n", + "Statistical=0.904, p=0.008\n", + "GBR-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.966, p=0.399\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.964, p=0.347\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Oil rents (% of GDP)\n", + "Statistical=0.950, p=0.143\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.950, p=0.143\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.973, p=0.584\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.894, p=0.004\n", + "GBR-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.955, p=0.195\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.947, p=0.118\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-People using at least basic drinking water services (% of population)\n", + "Statistical=0.877, p=0.002\n", + "GBR-People using at least basic sanitation services (% of population)\n", + "Statistical=0.964, p=0.361\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-People using safely managed sanitation services (% of population)\n", + "Statistical=0.964, p=0.361\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Permanent cropland (% of land area)\n", + "Statistical=0.969, p=0.461\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Physicians (per 1,000 people)\n", + "Statistical=0.903, p=0.007\n", + "GBR-Population ages 0-14 (% of total population)\n", + "Statistical=0.903, p=0.007\n", + "GBR-Population ages 15-64 (% of total population)\n", + "Statistical=0.947, p=0.118\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Population ages 65 and above (% of total population)\n", + "Statistical=0.899, p=0.006\n", + "GBR-Population density (people per sq. km of land area)\n", + "Statistical=0.988, p=0.970\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Population growth (annual %)\n", + "Statistical=0.903, p=0.007\n", + "GBR-Population in largest city\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Population in the largest city (% of urban population)\n", + "Statistical=0.892, p=0.004\n", + "GBR-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.882, p=0.002\n", + "GBR-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.890, p=0.003\n", + "GBR-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.947, p=0.118\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=0.799, p=0.000\n", + "GBR-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.933, p=0.046\n", + "GBR-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.933, p=0.046\n", + "GBR-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.871, p=0.001\n", + "GBR-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.969, p=0.465\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.885, p=0.003\n", + "GBR-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.885, p=0.003\n", + "GBR-Prevalence of undernourishment (% of population)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.954, p=0.183\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Primary income payments (BoP, current US$)\n", + "Statistical=0.876, p=0.002\n", + "GBR-Primary income receipts (BoP, current US$)\n", + "Statistical=0.885, p=0.003\n", + "GBR-Primary school starting age (years)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Private credit bureau coverage (% of adults)\n", + "Statistical=0.844, p=0.000\n", + "GBR-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.933, p=0.046\n", + "GBR-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.962, p=0.305\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Procedures to build a warehouse (number)\n", + "Statistical=0.914, p=0.014\n", + "GBR-Procedures to register property (number)\n", + "Statistical=0.871, p=0.001\n", + "GBR-Profit tax (% of commercial profits)\n", + "Statistical=0.871, p=0.001\n", + "GBR-Progression to secondary school (%)\n", + "Statistical=0.924, p=0.026\n", + "GBR-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.840, p=0.000\n", + "GBR-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.976, p=0.668\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.898, p=0.006\n", + "GBR-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.877, p=0.002\n", + "GBR-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Public credit registry coverage (% of adults)\n", + "Statistical=0.789, p=0.000\n", + "GBR-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.826, p=0.000\n", + "GBR-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.914, p=0.014\n", + "GBR-Rail lines (total route-km)\n", + "Statistical=0.960, p=0.266\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.840, p=0.000\n", + "GBR-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Refugee population by country or territory of asylum\n", + "Statistical=0.977, p=0.719\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Refugee population by country or territory of origin\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.953, p=0.170\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.953, p=0.170\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.947, p=0.118\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Research and development expenditure (% of GDP)\n", + "Statistical=0.930, p=0.040\n", + "GBR-Researchers in R&D (per million people)\n", + "Statistical=0.941, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Reserves and related items (BoP, current US$)\n", + "Statistical=0.986, p=0.948\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.947, p=0.119\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Rural land area (sq. km)\n", + "Statistical=0.918, p=0.018\n", + "GBR-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.964, p=0.346\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.976, p=0.685\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Rural population\n", + "Statistical=0.962, p=0.311\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Rural population (% of total population)\n", + "Statistical=0.962, p=0.311\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Rural population growth (annual %)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.917, p=0.017\n", + "GBR-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.555, p=0.000\n", + "GBR-Scientific and technical journal articles\n", + "Statistical=0.490, p=0.000\n", + "GBR-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.339, p=0.000\n", + "GBR-Secure Internet servers\n", + "Statistical=0.899, p=0.006\n", + "GBR-Secure Internet servers (per 1 million people)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Service exports (BoP, current US$)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Service imports (BoP, current US$)\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Sex ratio at birth (male births per female births)\n", + "Statistical=0.875, p=0.001\n", + "GBR-Social contributions (% of revenue)\n", + "Statistical=0.954, p=0.183\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Start-up procedures to register a business (number)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.961, p=0.289\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.945, p=0.105\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.928, p=0.035\n", + "GBR-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.928, p=0.035\n", + "GBR-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.947, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.878, p=0.002\n", + "GBR-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.841, p=0.000\n", + "GBR-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.745, p=0.000\n", + "GBR-Surface area (sq. km)\n", + "Statistical=0.805, p=0.000\n", + "GBR-Tax payments (number)\n", + "Statistical=0.926, p=0.031\n", + "GBR-Tax revenue (% of GDP)\n", + "Statistical=0.973, p=0.600\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Taxes less subsidies on products (current US$)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Taxes on goods and services (% of revenue)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.953, p=0.177\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.884, p=0.003\n", + "GBR-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.877, p=0.002\n", + "GBR-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.979, p=0.774\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Time required to build a warehouse (days)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Time required to enforce a contract (days)\n", + "Statistical=0.947, p=0.119\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Time required to get electricity (days)\n", + "Statistical=0.915, p=0.015\n", + "GBR-Time required to register property (days)\n", + "Statistical=0.953, p=0.177\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Time required to start a business (days)\n", + "Statistical=0.663, p=0.000\n", + "GBR-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.422, p=0.000\n", + "GBR-Time to obtain an electrical connection (days)\n", + "Statistical=0.408, p=0.000\n", + "GBR-Time to prepare and pay taxes (hours)\n", + "Statistical=0.432, p=0.000\n", + "GBR-Time to resolve insolvency (years)\n", + "Statistical=0.663, p=0.000\n", + "GBR-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.664, p=0.000\n", + "GBR-Total fisheries production (metric tons)\n", + "Statistical=0.662, p=0.000\n", + "GBR-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.666, p=0.000\n", + "GBR-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.663, p=0.000\n", + "GBR-Total natural resources rents (% of GDP)\n", + "Statistical=0.760, p=0.000\n", + "GBR-Total reserves (includes gold, current US$)\n", + "Statistical=0.826, p=0.000\n", + "GBR-Total reserves in months of imports\n", + "Statistical=0.956, p=0.216\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Total reserves minus gold (current US$)\n", + "Statistical=0.905, p=0.008\n", + "GBR-Total tax and contribution rate (% of profit)\n", + "Statistical=0.908, p=0.010\n", + "GBR-Trade (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Trade in services (% of GDP)\n", + "Statistical=0.885, p=0.003\n", + "GBR-Transport services (% of commercial service exports)\n", + "Statistical=0.887, p=0.003\n", + "GBR-Transport services (% of commercial service imports)\n", + "Statistical=0.835, p=0.000\n", + "GBR-Transport services (% of service exports, BoP)\n", + "Statistical=0.876, p=0.002\n", + "GBR-Transport services (% of service imports, BoP)\n", + "Statistical=0.959, p=0.266\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Travel services (% of commercial service exports)\n", + "Statistical=0.874, p=0.001\n", + "GBR-Travel services (% of commercial service imports)\n", + "Statistical=0.965, p=0.364\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Travel services (% of service exports, BoP)\n", + "Statistical=0.931, p=0.043\n", + "GBR-Travel services (% of service imports, BoP)\n", + "Statistical=0.931, p=0.043\n", + "GBR-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.876, p=0.002\n", + "GBR-UHC service coverage index\n", + "Statistical=0.923, p=0.025\n", + "GBR-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.904, p=0.008\n", + "GBR-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.972, p=0.566\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Urban land area (sq. km)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.859, p=0.001\n", + "GBR-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.933, p=0.048\n", + "GBR-Urban population\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Urban population (% of total population)\n", + "Statistical=0.970, p=0.501\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=0.812, p=0.000\n", + "GBR-GDP (current US$)+2\n", + "Statistical=0.462, p=0.000\n", + "GBR-GDP (current US$)+3\n", + "Statistical=0.509, p=0.000\n", + "GBR-GDP (current US$)+5\n", + "Statistical=0.905, p=0.008\n", + "GBR-GDP (current US$)+8\n", + "Statistical=0.967, p=0.413\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-GDP (current US$)+13\n", + "Statistical=0.932, p=0.043\n", + "GBR-GDP (current US$)+21\n", + "Statistical=0.932, p=0.043\n", + "GBR-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.965, p=0.370\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Deposit interest rate (%)\n", + "Statistical=0.952, p=0.162\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Other taxes (% of revenue)\n", + "Statistical=0.899, p=0.006\n", + "GBR-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.958, p=0.245\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Taxes on international trade (% of revenue)\n", + "Statistical=0.958, p=0.245\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.964, p=0.351\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Broad money (% of GDP)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Broad money growth (annual %)\n", + "Statistical=0.901, p=0.006\n", + "GBR-Broad money to total reserves ratio\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.900, p=0.006\n", + "GBR-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.950, p=0.144\n", + "Data is NORMAL ( H0 not denied )\n", + "GBR-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.924, p=0.028\n", + "GBR-External health expenditure (% of current health expenditure)\n", + "Statistical=0.891, p=0.004\n", + "GBR-External health expenditure per capita (current US$)\n", + "Statistical=0.480, p=0.000\n", + "GBR-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.867, p=0.001\n", + "GBR-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.867, p=0.001\n", + "GBR-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.337, p=0.000\n", + "GBR-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.556, p=0.000\n", + "GBR-People practicing open defecation (% of population)\n", + "Statistical=0.547, p=0.000\n", + "GBR-Taxes on exports (% of tax revenue)\n", + "Statistical=0.875, p=0.002\n", + "GBR-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.874, p=0.001\n", + "GBR-Country\n", + "Statistical=0.615, p=0.000\n", + "GBR-Year\n", + "Statistical=0.549, p=0.000\n", + "GBR-Continent\n", + "Statistical=0.546, p=0.000\n", + "ESP-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.544, p=0.000\n", + "ESP-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.453, p=0.000\n", + "ESP-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.634, p=0.000\n", + "ESP-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.637, p=0.000\n", + "ESP-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.624, p=0.000\n", + "ESP-Age dependency ratio (% of working-age population)\n", + "Statistical=0.625, p=0.000\n", + "ESP-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.466, p=0.000\n", + "ESP-Agricultural land (% of land area)\n", + "Statistical=0.615, p=0.000\n", + "ESP-Agricultural land (sq. km)\n", + "Statistical=0.635, p=0.000\n", + "ESP-Agricultural methane emissions (% of total)\n", + "Statistical=0.771, p=0.000\n", + "ESP-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.930, p=0.040\n", + "ESP-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.747, p=0.000\n", + "ESP-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.913, p=0.014\n", + "ESP-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.905, p=0.008\n", + "ESP-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.839, p=0.000\n", + "ESP-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Aquaculture production (metric tons)\n", + "Statistical=0.902, p=0.007\n", + "ESP-Arable land (% of land area)\n", + "Statistical=0.858, p=0.001\n", + "ESP-Arable land (hectares per person)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Arable land (hectares)\n", + "Statistical=0.919, p=0.019\n", + "ESP-Armed forces personnel (% of total labor force)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.919, p=0.019\n", + "ESP-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.928, p=0.035\n", + "ESP-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.884, p=0.002\n", + "ESP-Average precipitation in depth (mm per year)\n", + "Statistical=0.868, p=0.001\n", + "ESP-Average time to clear exports through customs (days)\n", + "Statistical=0.802, p=0.000\n", + "ESP-Births attended by skilled health staff (% of total)\n", + "Statistical=0.951, p=0.154\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.872, p=0.001\n", + "ESP-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.866, p=0.001\n", + "ESP-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.908, p=0.010\n", + "ESP-CO2 emissions (kt)\n", + "Statistical=0.928, p=0.034\n", + "ESP-CO2 emissions (metric tons per capita)\n", + "Statistical=0.867, p=0.001\n", + "ESP-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.968, p=0.442\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.931, p=0.041\n", + "ESP-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.903, p=0.008\n", + "ESP-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.931, p=0.041\n", + "ESP-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.937, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.958, p=0.237\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.876, p=0.002\n", + "ESP-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.862, p=0.001\n", + "ESP-Capture fisheries production (metric tons)\n", + "Statistical=0.834, p=0.000\n", + "ESP-Cereal production (metric tons)\n", + "Statistical=0.899, p=0.006\n", + "ESP-Cereal yield (kg per hectare)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Changes in inventories (current US$)\n", + "Statistical=0.878, p=0.002\n", + "ESP-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.896, p=0.005\n", + "ESP-Children out of school (% of primary school age)\n", + "Statistical=0.864, p=0.001\n", + "ESP-Coal rents (% of GDP)\n", + "Statistical=0.868, p=0.001\n", + "ESP-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.811, p=0.000\n", + "ESP-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.805, p=0.000\n", + "ESP-Commercial service exports (current US$)\n", + "Statistical=0.721, p=0.000\n", + "ESP-Commercial service imports (current US$)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Completeness of birth registration (%)\n", + "Statistical=0.799, p=0.000\n", + "ESP-Consumer price index (2010 = 100)\n", + "Statistical=0.965, p=0.364\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.960, p=0.269\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Crop production index (2014-2016 = 100)\n", + "Statistical=0.860, p=0.001\n", + "ESP-Current account balance (% of GDP)\n", + "Statistical=0.902, p=0.007\n", + "ESP-Current account balance (BoP, current US$)\n", + "Statistical=0.929, p=0.037\n", + "ESP-Current health expenditure (% of GDP)\n", + "Statistical=0.922, p=0.023\n", + "ESP-Current health expenditure per capita (current US$)\n", + "Statistical=0.922, p=0.023\n", + "ESP-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.887, p=0.003\n", + "ESP-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.898, p=0.006\n", + "ESP-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.894, p=0.004\n", + "ESP-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.960, p=0.275\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.923, p=0.024\n", + "ESP-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.957, p=0.220\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.913, p=0.013\n", + "ESP-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.968, p=0.446\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.950, p=0.141\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.870, p=0.001\n", + "ESP-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.870, p=0.001\n", + "ESP-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.964, p=0.347\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Electric power consumption (kWh per capita)\n", + "Statistical=0.881, p=0.002\n", + "ESP-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.872, p=0.001\n", + "ESP-Electricity production from coal sources (% of total)\n", + "Statistical=0.879, p=0.002\n", + "ESP-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.854, p=0.000\n", + "ESP-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.865, p=0.001\n", + "ESP-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.871, p=0.001\n", + "ESP-Electricity production from oil sources (% of total)\n", + "Statistical=0.938, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.769, p=0.000\n", + "ESP-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Export unit value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Export value index (2000 = 100)\n", + "Statistical=0.754, p=0.000\n", + "ESP-Export volume index (2000 = 100)\n", + "Statistical=0.773, p=0.000\n", + "ESP-Exports of goods and services (% of GDP)\n", + "Statistical=0.778, p=0.000\n", + "ESP-Exports of goods and services (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Exports of goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-External balance on goods and services (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-External balance on goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.565, p=0.000\n", + "ESP-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.810, p=0.000\n", + "ESP-Final consumption expenditure (% of GDP)\n", + "Statistical=0.810, p=0.000\n", + "ESP-Final consumption expenditure (current US$)\n", + "Statistical=0.889, p=0.003\n", + "ESP-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.929, p=0.036\n", + "ESP-Firms offering formal training (% of firms)\n", + "Statistical=0.858, p=0.001\n", + "ESP-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.861, p=0.001\n", + "ESP-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.899, p=0.006\n", + "ESP-Fixed broadband subscriptions\n", + "Statistical=0.959, p=0.266\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.920, p=0.021\n", + "ESP-Fixed telephone subscriptions\n", + "Statistical=0.875, p=0.002\n", + "ESP-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.898, p=0.006\n", + "ESP-Food exports (% of merchandise exports)\n", + "Statistical=0.908, p=0.010\n", + "ESP-Food imports (% of merchandise imports)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Food production index (2014-2016 = 100)\n", + "Statistical=0.862, p=0.001\n", + "ESP-Forest area (% of land area)\n", + "Statistical=0.932, p=0.044\n", + "ESP-Forest area (sq. km)\n", + "Statistical=0.862, p=0.001\n", + "ESP-Forest rents (% of GDP)\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.848, p=0.000\n", + "ESP-Fuel exports (% of merchandise exports)\n", + "Statistical=0.614, p=0.000\n", + "ESP-Fuel imports (% of merchandise imports)\n", + "Statistical=0.861, p=0.001\n", + "ESP-GDP (current US$)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-GDP deflator (base year varies by country)\n", + "Statistical=0.954, p=0.184\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-GDP growth (annual %)\n", + "Statistical=0.923, p=0.025\n", + "ESP-GDP per capita (current US$)\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-GDP per capita growth (annual %)\n", + "Statistical=0.837, p=0.000\n", + "ESP-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.929, p=0.036\n", + "ESP-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.826, p=0.000\n", + "ESP-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.615, p=0.000\n", + "ESP-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.690, p=0.000\n", + "ESP-GNI (current US$)\n", + "Statistical=0.805, p=0.000\n", + "ESP-GNI growth (annual %)\n", + "Statistical=0.617, p=0.000\n", + "ESP-GNI per capita growth (annual %)\n", + "Statistical=0.698, p=0.000\n", + "ESP-General government final consumption expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-General government final consumption expenditure (current US$)\n", + "Statistical=0.801, p=0.000\n", + "ESP-Gini index\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Goods exports (BoP, current US$)\n", + "Statistical=0.854, p=0.001\n", + "ESP-Goods imports (BoP, current US$)\n", + "Statistical=0.886, p=0.003\n", + "ESP-Grants and other revenue (% of revenue)\n", + "Statistical=0.740, p=0.000\n", + "ESP-Gross capital formation (% of GDP)\n", + "Statistical=0.913, p=0.014\n", + "ESP-Gross capital formation (current US$)\n", + "Statistical=0.908, p=0.010\n", + "ESP-Gross domestic savings (% of GDP)\n", + "Statistical=0.926, p=0.031\n", + "ESP-Gross domestic savings (current US$)\n", + "Statistical=0.915, p=0.015\n", + "ESP-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.912, p=0.012\n", + "ESP-Gross savings (% of GDP)\n", + "Statistical=0.835, p=0.000\n", + "ESP-Gross savings (current US$)\n", + "Statistical=0.922, p=0.023\n", + "ESP-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.832, p=0.000\n", + "ESP-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.825, p=0.000\n", + "ESP-High-technology exports (% of manufactured exports)\n", + "Statistical=0.853, p=0.000\n", + "ESP-High-technology exports (current US$)\n", + "Statistical=0.833, p=0.000\n", + "ESP-Hospital beds (per 1,000 people)\n", + "Statistical=0.854, p=0.001\n", + "ESP-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.852, p=0.000\n", + "ESP-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.668, p=0.000\n", + "ESP-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.668, p=0.000\n", + "ESP-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.668, p=0.000\n", + "ESP-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.962, p=0.319\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.943, p=0.093\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.959, p=0.262\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.881, p=0.002\n", + "ESP-ICT goods exports (% of total goods exports)\n", + "Statistical=0.893, p=0.004\n", + "ESP-ICT goods imports (% total goods imports)\n", + "Statistical=0.849, p=0.000\n", + "ESP-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.765, p=0.000\n", + "ESP-ICT service exports (BoP, current US$)\n", + "Statistical=0.798, p=0.000\n", + "ESP-Import unit value index (2000 = 100)\n", + "Statistical=0.854, p=0.001\n", + "ESP-Import value index (2000 = 100)\n", + "Statistical=0.345, p=0.000\n", + "ESP-Import volume index (2000 = 100)\n", + "Statistical=0.354, p=0.000\n", + "ESP-Imports of goods and services (% of GDP)\n", + "Statistical=0.952, p=0.164\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.954, p=0.192\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Imports of goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "ESP-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Income share held by lowest 10%\n", + "Statistical=0.770, p=0.000\n", + "ESP-Income share held by lowest 20%\n", + "Statistical=0.769, p=0.000\n", + "ESP-Income share held by second 20%\n", + "Statistical=0.816, p=0.000\n", + "ESP-Income share held by third 20%\n", + "Statistical=0.885, p=0.003\n", + "ESP-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.825, p=0.000\n", + "ESP-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.810, p=0.000\n", + "ESP-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.850, p=0.000\n", + "ESP-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.885, p=0.003\n", + "ESP-Individuals using the Internet (% of population)\n", + "Statistical=0.785, p=0.000\n", + "ESP-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.857, p=0.001\n", + "ESP-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.401, p=0.000\n", + "ESP-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.804, p=0.000\n", + "ESP-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.807, p=0.000\n", + "ESP-Intentional homicides (per 100,000 people)\n", + "Statistical=0.806, p=0.000\n", + "ESP-Interest payments (% of revenue)\n", + "Statistical=0.763, p=0.000\n", + "ESP-International migrant stock (% of population)\n", + "Statistical=0.773, p=0.000\n", + "ESP-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.766, p=0.000\n", + "ESP-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.799, p=0.000\n", + "ESP-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.810, p=0.000\n", + "ESP-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.804, p=0.000\n", + "ESP-Land area (sq. km)\n", + "Statistical=0.819, p=0.000\n", + "ESP-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.826, p=0.000\n", + "ESP-Land under cereal production (hectares)\n", + "Statistical=0.822, p=0.000\n", + "ESP-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.855, p=0.001\n", + "ESP-Lifetime risk of maternal death (%)\n", + "Statistical=0.849, p=0.000\n", + "ESP-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.922, p=0.024\n", + "ESP-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.943, p=0.091\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=0.831, p=0.000\n", + "ESP-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.886, p=0.003\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ESP-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.825, p=0.000\n", + "ESP-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.817, p=0.000\n", + "ESP-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.841, p=0.000\n", + "ESP-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.971, p=0.529\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Low-birthweight babies (% of births)\n", + "Statistical=0.965, p=0.373\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Lower secondary school starting age (years)\n", + "Statistical=0.815, p=0.000\n", + "ESP-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.834, p=0.000\n", + "ESP-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.827, p=0.000\n", + "ESP-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.798, p=0.000\n", + "ESP-Marine protected areas (% of territorial waters)\n", + "Statistical=0.893, p=0.004\n", + "ESP-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.804, p=0.000\n", + "ESP-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.861, p=0.001\n", + "ESP-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.890, p=0.003\n", + "ESP-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.792, p=0.000\n", + "ESP-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.838, p=0.000\n", + "ESP-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.837, p=0.000\n", + "ESP-Merchandise exports (current US$)\n", + "Statistical=0.951, p=0.157\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.950, p=0.147\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.953, p=0.171\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.954, p=0.183\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.925, p=0.029\n", + "ESP-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.928, p=0.034\n", + "ESP-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.920, p=0.021\n", + "ESP-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.920, p=0.021\n", + "ESP-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.960, p=0.273\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Merchandise imports (current US$)\n", + "Statistical=0.803, p=0.000\n", + "ESP-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.723, p=0.000\n", + "ESP-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.901, p=0.007\n", + "ESP-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.805, p=0.000\n", + "ESP-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.862, p=0.001\n", + "ESP-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.817, p=0.000\n", + "ESP-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.843, p=0.000\n", + "ESP-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.841, p=0.000\n", + "ESP-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.948, p=0.125\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.897, p=0.005\n", + "ESP-Merchandise trade (% of GDP)\n", + "Statistical=0.968, p=0.434\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Methane emissions (% change from 1990)\n", + "Statistical=0.959, p=0.259\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.959, p=0.259\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.955, p=0.204\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Military expenditure (% of GDP)\n", + "Statistical=0.897, p=0.005\n", + "ESP-Military expenditure (% of general government expenditure)\n", + "Statistical=0.883, p=0.002\n", + "ESP-Military expenditure (current USD)\n", + "Statistical=0.953, p=0.181\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Mineral rents (% of GDP)\n", + "Statistical=0.950, p=0.140\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Mobile cellular subscriptions\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.945, p=0.101\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Natural gas rents (% of GDP)\n", + "Statistical=0.963, p=0.341\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.981, p=0.823\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Net capital account (BoP, current US$)\n", + "Statistical=0.948, p=0.130\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.968, p=0.452\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Net financial account (BoP, current US$)\n", + "Statistical=0.908, p=0.010\n", + "ESP-Net migration\n", + "Statistical=0.864, p=0.001\n", + "ESP-Net primary income (BoP, current US$)\n", + "Statistical=0.864, p=0.001\n", + "ESP-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.878, p=0.002\n", + "ESP-Net secondary income (BoP, current US$)\n", + "Statistical=0.846, p=0.000\n", + "ESP-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Net trade in goods (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Net trade in goods and services (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-New businesses registered (number)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.830, p=0.000\n", + "ESP-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.833, p=0.000\n", + "ESP-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.868, p=0.001\n", + "ESP-Number of deaths ages 10-14 years\n", + "Statistical=0.892, p=0.004\n", + "ESP-Number of deaths ages 15-19 years\n", + "Statistical=0.979, p=0.782\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Number of deaths ages 20-24 years\n", + "Statistical=0.970, p=0.510\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Number of deaths ages 5-9 years\n", + "Statistical=0.946, p=0.111\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Number of infant deaths\n", + "Statistical=0.896, p=0.005\n", + "ESP-Number of maternal deaths\n", + "Statistical=0.989, p=0.985\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Number of neonatal deaths\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Number of under-five deaths\n", + "Statistical=0.951, p=0.152\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.921, p=0.022\n", + "ESP-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Oil rents (% of GDP)\n", + "Statistical=0.815, p=0.000\n", + "ESP-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.817, p=0.000\n", + "ESP-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.899, p=0.006\n", + "ESP-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.953, p=0.175\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.929, p=0.038\n", + "ESP-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.887, p=0.003\n", + "ESP-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.887, p=0.003\n", + "ESP-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.884, p=0.003\n", + "ESP-People using at least basic drinking water services (% of population)\n", + "Statistical=0.851, p=0.000\n", + "ESP-People using at least basic sanitation services (% of population)\n", + "Statistical=0.875, p=0.001\n", + "ESP-People using safely managed sanitation services (% of population)\n", + "Statistical=0.875, p=0.001\n", + "ESP-Permanent cropland (% of land area)\n", + "Statistical=0.926, p=0.030\n", + "ESP-Physicians (per 1,000 people)\n", + "Statistical=0.888, p=0.003\n", + "ESP-Population ages 0-14 (% of total population)\n", + "Statistical=0.888, p=0.003\n", + "ESP-Population ages 15-64 (% of total population)\n", + "Statistical=0.886, p=0.003\n", + "ESP-Population ages 65 and above (% of total population)\n", + "Statistical=0.870, p=0.001\n", + "ESP-Population density (people per sq. km of land area)\n", + "Statistical=0.962, p=0.306\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Population growth (annual %)\n", + "Statistical=0.888, p=0.003\n", + "ESP-Population in largest city\n", + "Statistical=0.928, p=0.035\n", + "ESP-Population in the largest city (% of urban population)\n", + "Statistical=0.924, p=0.027\n", + "ESP-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.847, p=0.000\n", + "ESP-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.796, p=0.000\n", + "ESP-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.887, p=0.003\n", + "ESP-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.916, p=0.016\n", + "ESP-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.884, p=0.003\n", + "ESP-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=0.835, p=0.000\n", + "ESP-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.893, p=0.004\n", + "ESP-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.893, p=0.004\n", + "ESP-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.892, p=0.004\n", + "ESP-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.841, p=0.000\n", + "ESP-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.931, p=0.042\n", + "ESP-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.890, p=0.003\n", + "ESP-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.890, p=0.003\n", + "ESP-Prevalence of undernourishment (% of population)\n", + "Statistical=0.893, p=0.004\n", + "ESP-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.963, p=0.332\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Primary income payments (BoP, current US$)\n", + "Statistical=0.833, p=0.000\n", + "ESP-Primary income receipts (BoP, current US$)\n", + "Statistical=0.890, p=0.003\n", + "ESP-Primary school starting age (years)\n", + "Statistical=0.932, p=0.045\n", + "ESP-Private credit bureau coverage (% of adults)\n", + "Statistical=0.822, p=0.000\n", + "ESP-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.893, p=0.004\n", + "ESP-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.920, p=0.021\n", + "ESP-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.892, p=0.004\n", + "ESP-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.917, p=0.017\n", + "ESP-Procedures to build a warehouse (number)\n", + "Statistical=0.967, p=0.414\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Procedures to register property (number)\n", + "Statistical=0.874, p=0.001\n", + "ESP-Profit tax (% of commercial profits)\n", + "Statistical=0.874, p=0.001\n", + "ESP-Progression to secondary school (%)\n", + "Statistical=0.891, p=0.004\n", + "ESP-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.844, p=0.000\n", + "ESP-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.962, p=0.319\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.888, p=0.003\n", + "ESP-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.891, p=0.004\n", + "ESP-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.910, p=0.011\n", + "ESP-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.913, p=0.014\n", + "ESP-Public credit registry coverage (% of adults)\n", + "Statistical=0.737, p=0.000\n", + "ESP-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.846, p=0.000\n", + "ESP-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.855, p=0.001\n", + "ESP-Rail lines (total route-km)\n", + "Statistical=0.630, p=0.000\n", + "ESP-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.956, p=0.213\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Refugee population by country or territory of asylum\n", + "Statistical=0.956, p=0.211\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Refugee population by country or territory of origin\n", + "Statistical=0.895, p=0.005\n", + "ESP-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.965, p=0.371\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.965, p=0.371\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Research and development expenditure (% of GDP)\n", + "Statistical=0.930, p=0.040\n", + "ESP-Researchers in R&D (per million people)\n", + "Statistical=0.882, p=0.002\n", + "ESP-Reserves and related items (BoP, current US$)\n", + "Statistical=0.968, p=0.452\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.906, p=0.009\n", + "ESP-Rural land area (sq. km)\n", + "Statistical=0.889, p=0.003\n", + "ESP-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.947, p=0.120\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.890, p=0.003\n", + "ESP-Rural population\n", + "Statistical=0.962, p=0.314\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Rural population (% of total population)\n", + "Statistical=0.962, p=0.314\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Rural population growth (annual %)\n", + "Statistical=0.946, p=0.109\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.928, p=0.034\n", + "ESP-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.867, p=0.001\n", + "ESP-Scientific and technical journal articles\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.869, p=0.001\n", + "ESP-Secure Internet servers\n", + "Statistical=0.951, p=0.152\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Secure Internet servers (per 1 million people)\n", + "Statistical=0.884, p=0.003\n", + "ESP-Service exports (BoP, current US$)\n", + "Statistical=0.884, p=0.003\n", + "ESP-Service imports (BoP, current US$)\n", + "Statistical=0.873, p=0.001\n", + "ESP-Sex ratio at birth (male births per female births)\n", + "Statistical=0.872, p=0.001\n", + "ESP-Social contributions (% of revenue)\n", + "Statistical=0.879, p=0.002\n", + "ESP-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.922, p=0.024\n", + "ESP-Start-up procedures to register a business (number)\n", + "Statistical=0.929, p=0.036\n", + "ESP-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.864, p=0.001\n", + "ESP-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.894, p=0.004\n", + "ESP-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.894, p=0.004\n", + "ESP-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.895, p=0.005\n", + "ESP-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.849, p=0.000\n", + "ESP-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.804, p=0.000\n", + "ESP-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.699, p=0.000\n", + "ESP-Surface area (sq. km)\n", + "Statistical=0.706, p=0.000\n", + "ESP-Tax payments (number)\n", + "Statistical=0.827, p=0.000\n", + "ESP-Tax revenue (% of GDP)\n", + "Statistical=0.912, p=0.013\n", + "ESP-Taxes less subsidies on products (current US$)\n", + "Statistical=0.881, p=0.002\n", + "ESP-Taxes on goods and services (% of revenue)\n", + "Statistical=0.881, p=0.002\n", + "ESP-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.881, p=0.002\n", + "ESP-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.850, p=0.000\n", + "ESP-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.921, p=0.022\n", + "ESP-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.927, p=0.033\n", + "ESP-Time required to build a warehouse (days)\n", + "Statistical=0.881, p=0.002\n", + "ESP-Time required to enforce a contract (days)\n", + "Statistical=0.919, p=0.020\n", + "ESP-Time required to get electricity (days)\n", + "Statistical=0.961, p=0.286\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Time required to register property (days)\n", + "Statistical=0.881, p=0.002\n", + "ESP-Time required to start a business (days)\n", + "Statistical=0.677, p=0.000\n", + "ESP-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.680, p=0.000\n", + "ESP-Time to obtain an electrical connection (days)\n", + "Statistical=0.681, p=0.000\n", + "ESP-Time to prepare and pay taxes (hours)\n", + "Statistical=0.679, p=0.000\n", + "ESP-Time to resolve insolvency (years)\n", + "Statistical=0.675, p=0.000\n", + "ESP-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.670, p=0.000\n", + "ESP-Total fisheries production (metric tons)\n", + "Statistical=0.404, p=0.000\n", + "ESP-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.671, p=0.000\n", + "ESP-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.678, p=0.000\n", + "ESP-Total natural resources rents (% of GDP)\n", + "Statistical=0.812, p=0.000\n", + "ESP-Total reserves (includes gold, current US$)\n", + "Statistical=0.849, p=0.000\n", + "ESP-Total reserves in months of imports\n", + "Statistical=0.970, p=0.496\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Total reserves minus gold (current US$)\n", + "Statistical=0.926, p=0.031\n", + "ESP-Total tax and contribution rate (% of profit)\n", + "Statistical=0.886, p=0.003\n", + "ESP-Trade (% of GDP)\n", + "Statistical=0.759, p=0.000\n", + "ESP-Trade in services (% of GDP)\n", + "Statistical=0.833, p=0.000\n", + "ESP-Transport services (% of commercial service exports)\n", + "Statistical=0.826, p=0.000\n", + "ESP-Transport services (% of commercial service imports)\n", + "Statistical=0.854, p=0.001\n", + "ESP-Transport services (% of service exports, BoP)\n", + "Statistical=0.837, p=0.000\n", + "ESP-Transport services (% of service imports, BoP)\n", + "Statistical=0.863, p=0.001\n", + "ESP-Travel services (% of commercial service exports)\n", + "Statistical=0.889, p=0.003\n", + "ESP-Travel services (% of commercial service imports)\n", + "Statistical=0.960, p=0.270\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Travel services (% of service exports, BoP)\n", + "Statistical=0.895, p=0.005\n", + "ESP-Travel services (% of service imports, BoP)\n", + "Statistical=0.895, p=0.005\n", + "ESP-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.916, p=0.016\n", + "ESP-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.888, p=0.003\n", + "ESP-UHC service coverage index\n", + "Statistical=0.900, p=0.006\n", + "ESP-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.903, p=0.007\n", + "ESP-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.949, p=0.137\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.947, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Urban land area (sq. km)\n", + "Statistical=0.988, p=0.967\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.959, p=0.266\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.966, p=0.400\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Urban population\n", + "Statistical=0.957, p=0.227\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Urban population (% of total population)\n", + "Statistical=0.918, p=0.018\n", + "ESP-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.804, p=0.000\n", + "ESP-GDP (current US$)+1\n", + "Statistical=0.804, p=0.000\n", + "ESP-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=0.872, p=0.001\n", + "ESP-GDP (current US$)+2\n", + "Statistical=0.717, p=0.000\n", + "ESP-GDP (current US$)+3\n", + "Statistical=0.764, p=0.000\n", + "ESP-GDP (current US$)+5\n", + "Statistical=0.766, p=0.000\n", + "ESP-GDP (current US$)+8\n", + "Statistical=0.869, p=0.001\n", + "ESP-GDP (current US$)+13\n", + "Statistical=0.915, p=0.016\n", + "ESP-GDP (current US$)+21\n", + "Statistical=0.915, p=0.016\n", + "ESP-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.916, p=0.016\n", + "ESP-Deposit interest rate (%)\n", + "Statistical=0.894, p=0.004\n", + "ESP-Other taxes (% of revenue)\n", + "Statistical=0.862, p=0.001\n", + "ESP-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.931, p=0.043\n", + "ESP-Taxes on international trade (% of revenue)\n", + "Statistical=0.931, p=0.043\n", + "ESP-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.954, p=0.186\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Broad money (% of GDP)\n", + "Statistical=0.909, p=0.011\n", + "ESP-Broad money growth (annual %)\n", + "Statistical=0.970, p=0.499\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Broad money to total reserves ratio\n", + "Statistical=0.911, p=0.012\n", + "ESP-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.968, p=0.442\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.906, p=0.009\n", + "ESP-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.960, p=0.283\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-External health expenditure (% of current health expenditure)\n", + "Statistical=0.880, p=0.002\n", + "ESP-External health expenditure per capita (current US$)\n", + "Statistical=0.742, p=0.000\n", + "ESP-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.809, p=0.000\n", + "ESP-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.810, p=0.000\n", + "ESP-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.546, p=0.000\n", + "ESP-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.560, p=0.000\n", + "ESP-People practicing open defecation (% of population)\n", + "Statistical=0.553, p=0.000\n", + "ESP-Taxes on exports (% of tax revenue)\n", + "Statistical=0.883, p=0.002\n", + "ESP-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.952, p=0.160\n", + "Data is NORMAL ( H0 not denied )\n", + "ESP-Country\n", + "Statistical=0.643, p=0.000\n", + "ESP-Year\n", + "Statistical=0.557, p=0.000\n", + "ESP-Continent\n", + "Statistical=0.532, p=0.000\n", + "HRV-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.611, p=0.000\n", + "HRV-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.557, p=0.000\n", + "HRV-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.472, p=0.000\n", + "HRV-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.548, p=0.000\n", + "HRV-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.569, p=0.000\n", + "HRV-Age dependency ratio (% of working-age population)\n", + "Statistical=0.620, p=0.000\n", + "HRV-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.621, p=0.000\n", + "HRV-Agricultural land (% of land area)\n", + "Statistical=0.605, p=0.000\n", + "HRV-Agricultural land (sq. km)\n", + "Statistical=0.620, p=0.000\n", + "HRV-Agricultural methane emissions (% of total)\n", + "Statistical=0.814, p=0.000\n", + "HRV-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.761, p=0.000\n", + "HRV-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.774, p=0.000\n", + "HRV-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.931, p=0.042\n", + "HRV-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.910, p=0.011\n", + "HRV-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.822, p=0.000\n", + "HRV-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.933, p=0.047\n", + "HRV-Aquaculture production (metric tons)\n", + "Statistical=0.917, p=0.017\n", + "HRV-Arable land (% of land area)\n", + "Statistical=0.824, p=0.000\n", + "HRV-Arable land (hectares per person)\n", + "Statistical=0.920, p=0.021\n", + "HRV-Arable land (hectares)\n", + "Statistical=0.895, p=0.005\n", + "HRV-Armed forces personnel (% of total labor force)\n", + "Statistical=0.920, p=0.021\n", + "HRV-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.894, p=0.004\n", + "HRV-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.881, p=0.002\n", + "HRV-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.908, p=0.010\n", + "HRV-Average precipitation in depth (mm per year)\n", + "Statistical=0.914, p=0.014\n", + "HRV-Average time to clear exports through customs (days)\n", + "Statistical=0.839, p=0.000\n", + "HRV-Births attended by skilled health staff (% of total)\n", + "Statistical=0.848, p=0.000\n", + "HRV-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.833, p=0.000\n", + "HRV-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.964, p=0.354\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.885, p=0.003\n", + "HRV-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.859, p=0.001\n", + "HRV-CO2 emissions (kt)\n", + "Statistical=0.708, p=0.000\n", + "HRV-CO2 emissions (metric tons per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.964, p=0.353\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.915, p=0.015\n", + "HRV-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.872, p=0.001\n", + "HRV-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.912, p=0.013\n", + "HRV-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.890, p=0.004\n", + "HRV-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.964, p=0.347\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.732, p=0.000\n", + "HRV-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.664, p=0.000\n", + "HRV-Capture fisheries production (metric tons)\n", + "Statistical=0.767, p=0.000\n", + "HRV-Cereal production (metric tons)\n", + "Statistical=0.949, p=0.131\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Cereal yield (kg per hectare)\n", + "Statistical=0.971, p=0.522\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Changes in inventories (current US$)\n", + "Statistical=0.879, p=0.002\n", + "HRV-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.877, p=0.002\n", + "HRV-Children out of school (% of primary school age)\n", + "Statistical=0.830, p=0.000\n", + "HRV-Coal rents (% of GDP)\n", + "Statistical=0.837, p=0.000\n", + "HRV-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.567, p=0.000\n", + "HRV-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.743, p=0.000\n", + "HRV-Commercial service exports (current US$)\n", + "Statistical=0.833, p=0.000\n", + "HRV-Commercial service imports (current US$)\n", + "Statistical=0.882, p=0.002\n", + "HRV-Completeness of birth registration (%)\n", + "Statistical=0.821, p=0.000\n", + "HRV-Consumer price index (2010 = 100)\n", + "Statistical=0.900, p=0.006\n", + "HRV-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.943, p=0.091\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Crop production index (2014-2016 = 100)\n", + "Statistical=0.900, p=0.006\n", + "HRV-Current account balance (% of GDP)\n", + "Statistical=0.874, p=0.001\n", + "HRV-Current account balance (BoP, current US$)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Current health expenditure (% of GDP)\n", + "Statistical=0.980, p=0.791\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Current health expenditure per capita (current US$)\n", + "Statistical=0.980, p=0.791\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.916, p=0.017\n", + "HRV-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.911, p=0.012\n", + "HRV-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.899, p=0.006\n", + "HRV-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.928, p=0.035\n", + "HRV-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.908, p=0.010\n", + "HRV-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.908, p=0.010\n", + "HRV-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.866, p=0.001\n", + "HRV-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.721, p=0.000\n", + "HRV-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.803, p=0.000\n", + "HRV-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.816, p=0.000\n", + "HRV-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.709, p=0.000\n", + "HRV-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.709, p=0.000\n", + "HRV-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Electric power consumption (kWh per capita)\n", + "Statistical=0.848, p=0.000\n", + "HRV-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.865, p=0.001\n", + "HRV-Electricity production from coal sources (% of total)\n", + "Statistical=0.837, p=0.000\n", + "HRV-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.782, p=0.000\n", + "HRV-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.779, p=0.000\n", + "HRV-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.834, p=0.000\n", + "HRV-Electricity production from oil sources (% of total)\n", + "Statistical=0.890, p=0.004\n", + "HRV-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.792, p=0.000\n", + "HRV-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.865, p=0.001\n", + "HRV-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.875, p=0.002\n", + "HRV-Export unit value index (2000 = 100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Export value index (2000 = 100)\n", + "Statistical=0.754, p=0.000\n", + "HRV-Export volume index (2000 = 100)\n", + "Statistical=0.773, p=0.000\n", + "HRV-Exports of goods and services (% of GDP)\n", + "Statistical=0.778, p=0.000\n", + "HRV-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.871, p=0.001\n", + "HRV-Exports of goods and services (current US$)\n", + "Statistical=0.905, p=0.009\n", + "HRV-External balance on goods and services (% of GDP)\n", + "Statistical=0.870, p=0.001\n", + "HRV-External balance on goods and services (current US$)\n", + "Statistical=0.919, p=0.019\n", + "HRV-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.703, p=0.000\n", + "HRV-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.872, p=0.001\n", + "HRV-Final consumption expenditure (% of GDP)\n", + "Statistical=0.871, p=0.001\n", + "HRV-Final consumption expenditure (current US$)\n", + "Statistical=0.846, p=0.000\n", + "HRV-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Firms offering formal training (% of firms)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.922, p=0.023\n", + "HRV-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Fixed broadband subscriptions\n", + "Statistical=0.897, p=0.005\n", + "HRV-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.854, p=0.001\n", + "HRV-Fixed telephone subscriptions\n", + "Statistical=0.888, p=0.003\n", + "HRV-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.962, p=0.319\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Food exports (% of merchandise exports)\n", + "Statistical=0.910, p=0.011\n", + "HRV-Food imports (% of merchandise imports)\n", + "Statistical=0.876, p=0.002\n", + "HRV-Food production index (2014-2016 = 100)\n", + "Statistical=0.819, p=0.000\n", + "HRV-Forest area (% of land area)\n", + "Statistical=0.909, p=0.011\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "HRV-Forest area (sq. km)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Forest rents (% of GDP)\n", + "Statistical=0.845, p=0.000\n", + "HRV-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.827, p=0.000\n", + "HRV-Fuel exports (% of merchandise exports)\n", + "Statistical=0.824, p=0.000\n", + "HRV-Fuel imports (% of merchandise imports)\n", + "Statistical=0.848, p=0.000\n", + "HRV-GDP (current US$)\n", + "Statistical=0.972, p=0.561\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-GDP deflator (base year varies by country)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.969, p=0.473\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-GDP growth (annual %)\n", + "Statistical=0.957, p=0.226\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-GDP per capita (current US$)\n", + "Statistical=0.866, p=0.001\n", + "HRV-GDP per capita growth (annual %)\n", + "Statistical=0.950, p=0.143\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.816, p=0.000\n", + "HRV-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.899, p=0.006\n", + "HRV-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.717, p=0.000\n", + "HRV-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.840, p=0.000\n", + "HRV-GNI (current US$)\n", + "Statistical=0.898, p=0.006\n", + "HRV-GNI growth (annual %)\n", + "Statistical=0.711, p=0.000\n", + "HRV-GNI per capita growth (annual %)\n", + "Statistical=0.755, p=0.000\n", + "HRV-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.952, p=0.165\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-General government final consumption expenditure (current US$)\n", + "Statistical=0.920, p=0.021\n", + "HRV-Gini index\n", + "Statistical=0.900, p=0.006\n", + "HRV-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Goods imports (BoP, current US$)\n", + "Statistical=0.968, p=0.459\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Grants and other revenue (% of revenue)\n", + "Statistical=0.865, p=0.001\n", + "HRV-Gross capital formation (% of GDP)\n", + "Statistical=0.914, p=0.015\n", + "HRV-Gross capital formation (current US$)\n", + "Statistical=0.911, p=0.012\n", + "HRV-Gross domestic savings (% of GDP)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Gross domestic savings (current US$)\n", + "Statistical=0.915, p=0.015\n", + "HRV-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.927, p=0.032\n", + "HRV-Gross savings (% of GDP)\n", + "Statistical=0.922, p=0.024\n", + "HRV-Gross savings (current US$)\n", + "Statistical=0.869, p=0.001\n", + "HRV-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.845, p=0.000\n", + "HRV-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-High-technology exports (% of manufactured exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-High-technology exports (current US$)\n", + "Statistical=0.870, p=0.001\n", + "HRV-Hospital beds (per 1,000 people)\n", + "Statistical=0.800, p=0.000\n", + "HRV-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.852, p=0.000\n", + "HRV-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.813, p=0.000\n", + "HRV-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.813, p=0.000\n", + "HRV-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.813, p=0.000\n", + "HRV-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.965, p=0.371\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.929, p=0.038\n", + "HRV-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.954, p=0.187\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.513, p=0.000\n", + "HRV-ICT goods exports (% of total goods exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-ICT goods imports (% total goods imports)\n", + "Statistical=0.780, p=0.000\n", + "HRV-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.889, p=0.003\n", + "HRV-ICT service exports (BoP, current US$)\n", + "Statistical=0.835, p=0.000\n", + "HRV-Import unit value index (2000 = 100)\n", + "Statistical=0.834, p=0.000\n", + "HRV-Import value index (2000 = 100)\n", + "Statistical=0.850, p=0.000\n", + "HRV-Import volume index (2000 = 100)\n", + "Statistical=0.871, p=0.001\n", + "HRV-Imports of goods and services (% of GDP)\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Imports of goods and services (current US$)\n", + "Statistical=0.796, p=0.000\n", + "HRV-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "HRV-Income share held by highest 10%\n", + "Statistical=0.553, p=0.000\n", + "HRV-Income share held by highest 20%\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Income share held by lowest 10%\n", + "Statistical=0.878, p=0.002\n", + "HRV-Income share held by lowest 20%\n", + "Statistical=0.878, p=0.002\n", + "HRV-Income share held by second 20%\n", + "Statistical=0.861, p=0.001\n", + "HRV-Income share held by third 20%\n", + "Statistical=0.894, p=0.004\n", + "HRV-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.855, p=0.001\n", + "HRV-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.835, p=0.000\n", + "HRV-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.833, p=0.000\n", + "HRV-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.894, p=0.004\n", + "HRV-Individuals using the Internet (% of population)\n", + "Statistical=0.852, p=0.000\n", + "HRV-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.860, p=0.001\n", + "HRV-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.494, p=0.000\n", + "HRV-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.810, p=0.000\n", + "HRV-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.787, p=0.000\n", + "HRV-Intentional homicides (per 100,000 people)\n", + "Statistical=0.801, p=0.000\n", + "HRV-Interest payments (% of revenue)\n", + "Statistical=0.763, p=0.000\n", + "HRV-International migrant stock (% of population)\n", + "Statistical=0.763, p=0.000\n", + "HRV-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.763, p=0.000\n", + "HRV-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.846, p=0.000\n", + "HRV-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.819, p=0.000\n", + "HRV-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.838, p=0.000\n", + "HRV-Land area (sq. km)\n", + "Statistical=0.763, p=0.000\n", + "HRV-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.763, p=0.000\n", + "HRV-Land under cereal production (hectares)\n", + "Statistical=0.763, p=0.000\n", + "HRV-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.850, p=0.000\n", + "HRV-Lifetime risk of maternal death (%)\n", + "Statistical=0.914, p=0.015\n", + "HRV-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.860, p=0.001\n", + "HRV-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.960, p=0.275\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.895, p=0.005\n", + "HRV-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.948, p=0.129\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.735, p=0.000\n", + "HRV-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.717, p=0.000\n", + "HRV-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.929, p=0.036\n", + "HRV-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.961, p=0.285\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Low-birthweight babies (% of births)\n", + "Statistical=0.955, p=0.203\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Lower secondary school starting age (years)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.923, p=0.024\n", + "HRV-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.945, p=0.107\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.958, p=0.241\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Marine protected areas (% of territorial waters)\n", + "Statistical=0.919, p=0.019\n", + "HRV-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.969, p=0.482\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.922, p=0.023\n", + "HRV-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.930, p=0.040\n", + "HRV-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.911, p=0.012\n", + "HRV-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.931, p=0.041\n", + "HRV-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.842, p=0.000\n", + "HRV-Merchandise exports (current US$)\n", + "Statistical=0.947, p=0.115\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.870, p=0.001\n", + "HRV-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.834, p=0.000\n", + "HRV-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.947, p=0.115\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.652, p=0.000\n", + "HRV-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.912, p=0.013\n", + "HRV-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.783, p=0.000\n", + "HRV-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.979, p=0.767\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.678, p=0.000\n", + "HRV-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.838, p=0.000\n", + "HRV-Merchandise imports (current US$)\n", + "Statistical=0.839, p=0.000\n", + "HRV-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.820, p=0.000\n", + "HRV-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.855, p=0.001\n", + "HRV-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.761, p=0.000\n", + "HRV-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.855, p=0.001\n", + "HRV-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.849, p=0.000\n", + "HRV-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.856, p=0.001\n", + "HRV-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.932, p=0.045\n", + "HRV-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.872, p=0.001\n", + "HRV-Merchandise trade (% of GDP)\n", + "Statistical=0.902, p=0.007\n", + "HRV-Methane emissions (% change from 1990)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.930, p=0.039\n", + "HRV-Military expenditure (% of GDP)\n", + "Statistical=0.865, p=0.001\n", + "HRV-Military expenditure (% of general government expenditure)\n", + "Statistical=0.878, p=0.002\n", + "HRV-Military expenditure (current USD)\n", + "Statistical=0.917, p=0.017\n", + "HRV-Mineral rents (% of GDP)\n", + "Statistical=0.444, p=0.000\n", + "HRV-Mobile cellular subscriptions\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Natural gas rents (% of GDP)\n", + "Statistical=0.976, p=0.676\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Net capital account (BoP, current US$)\n", + "Statistical=0.932, p=0.043\n", + "HRV-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.899, p=0.006\n", + "HRV-Net financial account (BoP, current US$)\n", + "Statistical=0.962, p=0.307\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Net migration\n", + "Statistical=0.857, p=0.001\n", + "HRV-Net primary income (BoP, current US$)\n", + "Statistical=0.857, p=0.001\n", + "HRV-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.867, p=0.001\n", + "HRV-Net secondary income (BoP, current US$)\n", + "Statistical=0.831, p=0.000\n", + "HRV-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.788, p=0.000\n", + "HRV-Net trade in goods (BoP, current US$)\n", + "Statistical=0.792, p=0.000\n", + "HRV-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.925, p=0.028\n", + "HRV-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.733, p=0.000\n", + "HRV-New businesses registered (number)\n", + "Statistical=0.848, p=0.000\n", + "HRV-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.764, p=0.000\n", + "HRV-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.770, p=0.000\n", + "HRV-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.904, p=0.008\n", + "HRV-Number of deaths ages 10-14 years\n", + "Statistical=0.886, p=0.003\n", + "HRV-Number of deaths ages 15-19 years\n", + "Statistical=0.968, p=0.446\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Number of deaths ages 20-24 years\n", + "Statistical=0.885, p=0.003\n", + "HRV-Number of deaths ages 5-9 years\n", + "Statistical=0.967, p=0.432\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Number of infant deaths\n", + "Statistical=0.925, p=0.028\n", + "HRV-Number of maternal deaths\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Number of neonatal deaths\n", + "Statistical=0.923, p=0.025\n", + "HRV-Number of under-five deaths\n", + "Statistical=0.875, p=0.002\n", + "HRV-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.957, p=0.231\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Oil rents (% of GDP)\n", + "Statistical=0.908, p=0.010\n", + "HRV-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.962, p=0.308\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.868, p=0.001\n", + "HRV-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.961, p=0.288\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.884, p=0.002\n", + "HRV-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.884, p=0.002\n", + "HRV-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.875, p=0.002\n", + "HRV-People using at least basic drinking water services (% of population)\n", + "Statistical=0.827, p=0.000\n", + "HRV-People using at least basic sanitation services (% of population)\n", + "Statistical=0.865, p=0.001\n", + "HRV-People using safely managed sanitation services (% of population)\n", + "Statistical=0.865, p=0.001\n", + "HRV-Permanent cropland (% of land area)\n", + "Statistical=0.850, p=0.000\n", + "HRV-Physicians (per 1,000 people)\n", + "Statistical=0.896, p=0.005\n", + "HRV-Population ages 0-14 (% of total population)\n", + "Statistical=0.896, p=0.005\n", + "HRV-Population ages 15-64 (% of total population)\n", + "Statistical=0.891, p=0.004\n", + "HRV-Population ages 65 and above (% of total population)\n", + "Statistical=0.821, p=0.000\n", + "HRV-Population density (people per sq. km of land area)\n", + "Statistical=0.878, p=0.002\n", + "HRV-Population growth (annual %)\n", + "Statistical=0.896, p=0.005\n", + "HRV-Population in largest city\n", + "Statistical=0.902, p=0.007\n", + "HRV-Population in the largest city (% of urban population)\n", + "Statistical=0.836, p=0.000\n", + "HRV-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.830, p=0.000\n", + "HRV-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.853, p=0.000\n", + "HRV-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.884, p=0.002\n", + "HRV-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.897, p=0.005\n", + "HRV-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.875, p=0.002\n", + "HRV-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=0.796, p=0.000\n", + "HRV-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.892, p=0.004\n", + "HRV-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.892, p=0.004\n", + "HRV-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.883, p=0.002\n", + "HRV-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.821, p=0.000\n", + "HRV-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.867, p=0.001\n", + "HRV-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.907, p=0.010\n", + "HRV-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.907, p=0.010\n", + "HRV-Prevalence of undernourishment (% of population)\n", + "Statistical=0.897, p=0.005\n", + "HRV-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.885, p=0.003\n", + "HRV-Primary income payments (BoP, current US$)\n", + "Statistical=0.783, p=0.000\n", + "HRV-Primary income receipts (BoP, current US$)\n", + "Statistical=0.907, p=0.010\n", + "HRV-Primary school starting age (years)\n", + "Statistical=0.902, p=0.007\n", + "HRV-Private credit bureau coverage (% of adults)\n", + "Statistical=0.783, p=0.000\n", + "HRV-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.892, p=0.004\n", + "HRV-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.897, p=0.005\n", + "HRV-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.883, p=0.002\n", + "HRV-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.931, p=0.041\n", + "HRV-Procedures to build a warehouse (number)\n", + "Statistical=0.955, p=0.198\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Procedures to register property (number)\n", + "Statistical=0.881, p=0.002\n", + "HRV-Profit tax (% of commercial profits)\n", + "Statistical=0.881, p=0.002\n", + "HRV-Progression to secondary school (%)\n", + "Statistical=0.888, p=0.003\n", + "HRV-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.830, p=0.000\n", + "HRV-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.597, p=0.000\n", + "HRV-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.857, p=0.001\n", + "HRV-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.900, p=0.006\n", + "HRV-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.745, p=0.000\n", + "HRV-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.834, p=0.000\n", + "HRV-Public credit registry coverage (% of adults)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.836, p=0.000\n", + "HRV-Rail lines (total route-km)\n", + "Statistical=0.349, p=0.000\n", + "HRV-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.382, p=0.000\n", + "HRV-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.820, p=0.000\n", + "HRV-Refugee population by country or territory of asylum\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Refugee population by country or territory of origin\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.943, p=0.091\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.943, p=0.091\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.917, p=0.017\n", + "HRV-Research and development expenditure (% of GDP)\n", + "Statistical=0.912, p=0.013\n", + "HRV-Researchers in R&D (per million people)\n", + "Statistical=0.886, p=0.003\n", + "HRV-Reserves and related items (BoP, current US$)\n", + "Statistical=0.899, p=0.006\n", + "HRV-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.917, p=0.017\n", + "HRV-Rural land area (sq. km)\n", + "Statistical=0.878, p=0.002\n", + "HRV-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.926, p=0.031\n", + "HRV-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.919, p=0.019\n", + "HRV-Rural population\n", + "Statistical=0.916, p=0.016\n", + "HRV-Rural population (% of total population)\n", + "Statistical=0.916, p=0.016\n", + "HRV-Rural population growth (annual %)\n", + "Statistical=0.901, p=0.007\n", + "HRV-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.908, p=0.010\n", + "HRV-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.920, p=0.020\n", + "HRV-Scientific and technical journal articles\n", + "Statistical=0.919, p=0.020\n", + "HRV-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.916, p=0.016\n", + "HRV-Secure Internet servers\n", + "Statistical=0.917, p=0.017\n", + "HRV-Secure Internet servers (per 1 million people)\n", + "Statistical=0.891, p=0.004\n", + "HRV-Service exports (BoP, current US$)\n", + "Statistical=0.891, p=0.004\n", + "HRV-Service imports (BoP, current US$)\n", + "Statistical=0.871, p=0.001\n", + "HRV-Sex ratio at birth (male births per female births)\n", + "Statistical=0.851, p=0.000\n", + "HRV-Social contributions (% of revenue)\n", + "Statistical=0.860, p=0.001\n", + "HRV-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.904, p=0.008\n", + "HRV-Start-up procedures to register a business (number)\n", + "Statistical=0.917, p=0.017\n", + "HRV-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.880, p=0.002\n", + "HRV-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.879, p=0.002\n", + "HRV-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.879, p=0.002\n", + "HRV-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.865, p=0.001\n", + "HRV-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.832, p=0.000\n", + "HRV-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.745, p=0.000\n", + "HRV-Surface area (sq. km)\n", + "Statistical=0.726, p=0.000\n", + "HRV-Tax payments (number)\n", + "Statistical=0.901, p=0.007\n", + "HRV-Tax revenue (% of GDP)\n", + "Statistical=0.957, p=0.233\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Taxes less subsidies on products (current US$)\n", + "Statistical=0.862, p=0.001\n", + "HRV-Taxes on goods and services (% of revenue)\n", + "Statistical=0.862, p=0.001\n", + "HRV-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.857, p=0.001\n", + "HRV-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.841, p=0.000\n", + "HRV-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.860, p=0.001\n", + "HRV-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Time required to build a warehouse (days)\n", + "Statistical=0.862, p=0.001\n", + "HRV-Time required to enforce a contract (days)\n", + "Statistical=0.893, p=0.004\n", + "HRV-Time required to get electricity (days)\n", + "Statistical=0.926, p=0.030\n", + "HRV-Time required to register property (days)\n", + "Statistical=0.857, p=0.001\n", + "HRV-Time required to start a business (days)\n", + "Statistical=0.676, p=0.000\n", + "HRV-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.650, p=0.000\n", + "HRV-Time to obtain an electrical connection (days)\n", + "Statistical=0.632, p=0.000\n", + "HRV-Time to prepare and pay taxes (hours)\n", + "Statistical=0.656, p=0.000\n", + "HRV-Time to resolve insolvency (years)\n", + "Statistical=0.671, p=0.000\n", + "HRV-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.676, p=0.000\n", + "HRV-Total fisheries production (metric tons)\n", + "Statistical=0.674, p=0.000\n", + "HRV-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.673, p=0.000\n", + "HRV-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.674, p=0.000\n", + "HRV-Total natural resources rents (% of GDP)\n", + "Statistical=0.858, p=0.001\n", + "HRV-Total reserves (includes gold, current US$)\n", + "Statistical=0.873, p=0.001\n", + "HRV-Total reserves in months of imports\n", + "Statistical=0.915, p=0.016\n", + "HRV-Total reserves minus gold (current US$)\n", + "Statistical=0.879, p=0.002\n", + "HRV-Total tax and contribution rate (% of profit)\n", + "Statistical=0.887, p=0.003\n", + "HRV-Trade (% of GDP)\n", + "Statistical=0.845, p=0.000\n", + "HRV-Trade in services (% of GDP)\n", + "Statistical=0.908, p=0.010\n", + "HRV-Transport services (% of commercial service exports)\n", + "Statistical=0.842, p=0.000\n", + "HRV-Transport services (% of commercial service imports)\n", + "Statistical=0.867, p=0.001\n", + "HRV-Transport services (% of service exports, BoP)\n", + "Statistical=0.858, p=0.001\n", + "HRV-Transport services (% of service imports, BoP)\n", + "Statistical=0.905, p=0.008\n", + "HRV-Travel services (% of commercial service exports)\n", + "Statistical=0.900, p=0.006\n", + "HRV-Travel services (% of commercial service imports)\n", + "Statistical=0.916, p=0.017\n", + "HRV-Travel services (% of service exports, BoP)\n", + "Statistical=0.922, p=0.024\n", + "HRV-Travel services (% of service imports, BoP)\n", + "Statistical=0.922, p=0.024\n", + "HRV-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.922, p=0.024\n", + "HRV-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.862, p=0.001\n", + "HRV-UHC service coverage index\n", + "Statistical=0.900, p=0.006\n", + "HRV-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.846, p=0.000\n", + "HRV-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.617, p=0.000\n", + "HRV-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.663, p=0.000\n", + "HRV-Urban land area (sq. km)\n", + "Statistical=0.638, p=0.000\n", + "HRV-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.602, p=0.000\n", + "HRV-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.570, p=0.000\n", + "HRV-Urban population\n", + "Statistical=0.590, p=0.000\n", + "HRV-Urban population (% of total population)\n", + "Statistical=0.637, p=0.000\n", + "HRV-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-GDP (current US$)+2\n", + "Statistical=0.654, p=0.000\n", + "HRV-GDP (current US$)+3\n", + "Statistical=0.827, p=0.000\n", + "HRV-GDP (current US$)+5\n", + "Statistical=0.911, p=0.012\n", + "HRV-GDP (current US$)+8\n", + "Statistical=0.917, p=0.017\n", + "HRV-GDP (current US$)+13\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-GDP (current US$)+21\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.852, p=0.000\n", + "HRV-Deposit interest rate (%)\n", + "Statistical=0.867, p=0.001\n", + "HRV-Other taxes (% of revenue)\n", + "Statistical=0.802, p=0.000\n", + "HRV-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.920, p=0.021\n", + "HRV-Taxes on international trade (% of revenue)\n", + "Statistical=0.920, p=0.021\n", + "HRV-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.966, p=0.406\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Broad money (% of GDP)\n", + "Statistical=0.949, p=0.137\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Broad money growth (annual %)\n", + "Statistical=0.909, p=0.010\n", + "HRV-Broad money to total reserves ratio\n", + "Statistical=0.952, p=0.165\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.910, p=0.012\n", + "HRV-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.917, p=0.018\n", + "HRV-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.962, p=0.311\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-External health expenditure (% of current health expenditure)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-External health expenditure per capita (current US$)\n", + "Statistical=0.615, p=0.000\n", + "HRV-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.695, p=0.000\n", + "HRV-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.828, p=0.000\n", + "HRV-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.820, p=0.000\n", + "HRV-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.917, p=0.017\n", + "HRV-People practicing open defecation (% of population)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "HRV-Taxes on exports (% of tax revenue)\n", + "Statistical=0.933, p=0.049\n", + "HRV-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.865, p=0.001\n", + "HRV-Country\n", + "Statistical=0.895, p=0.005\n", + "HRV-Year\n", + "Statistical=0.860, p=0.001\n", + "HRV-Continent\n", + "Statistical=0.866, p=0.001\n", + "POL-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.612, p=0.000\n", + "POL-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.580, p=0.000\n", + "POL-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.616, p=0.000\n", + "POL-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.595, p=0.000\n", + "POL-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.607, p=0.000\n", + "POL-Age dependency ratio (% of working-age population)\n", + "Statistical=0.616, p=0.000\n", + "POL-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.616, p=0.000\n", + "POL-Agricultural land (% of land area)\n", + "Statistical=0.585, p=0.000\n", + "POL-Agricultural land (sq. km)\n", + "Statistical=0.613, p=0.000\n", + "POL-Agricultural methane emissions (% of total)\n", + "Statistical=0.787, p=0.000\n", + "POL-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.795, p=0.000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "POL-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.779, p=0.000\n", + "POL-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.864, p=0.001\n", + "POL-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.904, p=0.008\n", + "POL-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.886, p=0.003\n", + "POL-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.868, p=0.001\n", + "POL-Aquaculture production (metric tons)\n", + "Statistical=0.904, p=0.008\n", + "POL-Arable land (% of land area)\n", + "Statistical=0.885, p=0.003\n", + "POL-Arable land (hectares per person)\n", + "Statistical=0.952, p=0.167\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Arable land (hectares)\n", + "Statistical=0.853, p=0.000\n", + "POL-Armed forces personnel (% of total labor force)\n", + "Statistical=0.958, p=0.235\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.852, p=0.000\n", + "POL-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.834, p=0.000\n", + "POL-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.909, p=0.011\n", + "POL-Average precipitation in depth (mm per year)\n", + "Statistical=0.819, p=0.000\n", + "POL-Average time to clear exports through customs (days)\n", + "Statistical=0.874, p=0.001\n", + "POL-Births attended by skilled health staff (% of total)\n", + "Statistical=0.980, p=0.807\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.873, p=0.001\n", + "POL-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.929, p=0.037\n", + "POL-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.918, p=0.019\n", + "POL-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.890, p=0.003\n", + "POL-CO2 emissions (kt)\n", + "Statistical=0.972, p=0.549\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-CO2 emissions (metric tons per capita)\n", + "Statistical=0.891, p=0.004\n", + "POL-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.874, p=0.001\n", + "POL-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.815, p=0.000\n", + "POL-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.950, p=0.148\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.902, p=0.007\n", + "POL-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.869, p=0.001\n", + "POL-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.888, p=0.003\n", + "POL-Capture fisheries production (metric tons)\n", + "Statistical=0.863, p=0.001\n", + "POL-Cereal production (metric tons)\n", + "Statistical=0.917, p=0.017\n", + "POL-Cereal yield (kg per hectare)\n", + "Statistical=0.869, p=0.001\n", + "POL-Changes in inventories (current US$)\n", + "Statistical=0.817, p=0.000\n", + "POL-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.722, p=0.000\n", + "POL-Children out of school (% of primary school age)\n", + "Statistical=0.812, p=0.000\n", + "POL-Coal rents (% of GDP)\n", + "Statistical=0.812, p=0.000\n", + "POL-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.795, p=0.000\n", + "POL-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.792, p=0.000\n", + "POL-Commercial service exports (current US$)\n", + "Statistical=0.753, p=0.000\n", + "POL-Commercial service imports (current US$)\n", + "Statistical=0.762, p=0.000\n", + "POL-Completeness of birth registration (%)\n", + "Statistical=0.856, p=0.001\n", + "POL-Consumer price index (2010 = 100)\n", + "Statistical=0.958, p=0.244\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.805, p=0.000\n", + "POL-Crop production index (2014-2016 = 100)\n", + "Statistical=0.921, p=0.022\n", + "POL-Current account balance (% of GDP)\n", + "Statistical=0.872, p=0.001\n", + "POL-Current account balance (BoP, current US$)\n", + "Statistical=0.951, p=0.151\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Current health expenditure (% of GDP)\n", + "Statistical=0.947, p=0.115\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Current health expenditure per capita (current US$)\n", + "Statistical=0.947, p=0.115\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.871, p=0.001\n", + "POL-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.899, p=0.006\n", + "POL-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.877, p=0.002\n", + "POL-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.932, p=0.045\n", + "POL-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.960, p=0.271\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.806, p=0.000\n", + "POL-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.946, p=0.109\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.894, p=0.004\n", + "POL-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.909, p=0.011\n", + "POL-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.924, p=0.026\n", + "POL-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.924, p=0.026\n", + "POL-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.958, p=0.237\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Electric power consumption (kWh per capita)\n", + "Statistical=0.833, p=0.000\n", + "POL-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.847, p=0.000\n", + "POL-Electricity production from coal sources (% of total)\n", + "Statistical=0.833, p=0.000\n", + "POL-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.920, p=0.021\n", + "POL-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.930, p=0.040\n", + "POL-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.916, p=0.016\n", + "POL-Electricity production from oil sources (% of total)\n", + "Statistical=0.966, p=0.397\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.769, p=0.000\n", + "POL-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.837, p=0.000\n", + "POL-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.851, p=0.000\n", + "POL-Export unit value index (2000 = 100)\n", + "Statistical=0.765, p=0.000\n", + "POL-Export value index (2000 = 100)\n", + "Statistical=0.754, p=0.000\n", + "POL-Export volume index (2000 = 100)\n", + "Statistical=0.773, p=0.000\n", + "POL-Exports of goods and services (% of GDP)\n", + "Statistical=0.778, p=0.000\n", + "POL-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.928, p=0.036\n", + "POL-Exports of goods and services (current US$)\n", + "Statistical=0.905, p=0.009\n", + "POL-External balance on goods and services (% of GDP)\n", + "Statistical=0.888, p=0.003\n", + "POL-External balance on goods and services (current US$)\n", + "Statistical=0.981, p=0.833\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.864, p=0.001\n", + "POL-Final consumption expenditure (% of GDP)\n", + "Statistical=0.864, p=0.001\n", + "POL-Final consumption expenditure (current US$)\n", + "Statistical=0.859, p=0.001\n", + "POL-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.895, p=0.005\n", + "POL-Firms offering formal training (% of firms)\n", + "Statistical=0.902, p=0.007\n", + "POL-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.826, p=0.000\n", + "POL-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.897, p=0.005\n", + "POL-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.910, p=0.011\n", + "POL-Fixed broadband subscriptions\n", + "Statistical=0.873, p=0.001\n", + "POL-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.898, p=0.006\n", + "POL-Fixed telephone subscriptions\n", + "Statistical=0.830, p=0.000\n", + "POL-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.906, p=0.009\n", + "POL-Food exports (% of merchandise exports)\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Food imports (% of merchandise imports)\n", + "Statistical=0.912, p=0.013\n", + "POL-Food production index (2014-2016 = 100)\n", + "Statistical=0.840, p=0.000\n", + "POL-Forest area (% of land area)\n", + "Statistical=0.835, p=0.000\n", + "POL-Forest area (sq. km)\n", + "Statistical=0.902, p=0.007\n", + "POL-Forest rents (% of GDP)\n", + "Statistical=0.802, p=0.000\n", + "POL-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.643, p=0.000\n", + "POL-Fuel exports (% of merchandise exports)\n", + "Statistical=0.794, p=0.000\n", + "POL-Fuel imports (% of merchandise imports)\n", + "Statistical=0.866, p=0.001\n", + "POL-GDP (current US$)\n", + "Statistical=0.943, p=0.091\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-GDP deflator (base year varies by country)\n", + "Statistical=0.979, p=0.784\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.896, p=0.005\n", + "POL-GDP growth (annual %)\n", + "Statistical=0.915, p=0.016\n", + "POL-GDP per capita (current US$)\n", + "Statistical=0.886, p=0.003\n", + "POL-GDP per capita growth (annual %)\n", + "Statistical=0.783, p=0.000\n", + "POL-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.945, p=0.105\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.906, p=0.009\n", + "POL-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.914, p=0.014\n", + "POL-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.893, p=0.004\n", + "POL-GNI (current US$)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-GNI growth (annual %)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-GNI per capita growth (annual %)\n", + "Statistical=0.929, p=0.037\n", + "POL-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.976, p=0.679\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-General government final consumption expenditure (current US$)\n", + "Statistical=0.932, p=0.045\n", + "POL-Gini index\n", + "Statistical=0.912, p=0.012\n", + "POL-Goods exports (BoP, current US$)\n", + "Statistical=0.863, p=0.001\n", + "POL-Goods imports (BoP, current US$)\n", + "Statistical=0.796, p=0.000\n", + "POL-Grants and other revenue (% of revenue)\n", + "Statistical=0.784, p=0.000\n", + "POL-Gross capital formation (% of GDP)\n", + "Statistical=0.876, p=0.002\n", + "POL-Gross capital formation (current US$)\n", + "Statistical=0.879, p=0.002\n", + "POL-Gross domestic savings (% of GDP)\n", + "Statistical=0.947, p=0.116\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Gross domestic savings (current US$)\n", + "Statistical=0.976, p=0.684\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.946, p=0.110\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Gross savings (% of GDP)\n", + "Statistical=0.972, p=0.557\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Gross savings (current US$)\n", + "Statistical=0.898, p=0.005\n", + "POL-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.787, p=0.000\n", + "POL-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.963, p=0.323\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-High-technology exports (% of manufactured exports)\n", + "Statistical=0.884, p=0.003\n", + "POL-High-technology exports (current US$)\n", + "Statistical=0.931, p=0.042\n", + "POL-Hospital beds (per 1,000 people)\n", + "Statistical=0.934, p=0.050\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.769, p=0.000\n", + "POL-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.769, p=0.000\n", + "POL-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.769, p=0.000\n", + "POL-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.953, p=0.176\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.970, p=0.503\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.915, p=0.015\n", + "POL-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.874, p=0.001\n", + "POL-ICT goods exports (% of total goods exports)\n", + "Statistical=0.953, p=0.173\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-ICT goods imports (% total goods imports)\n", + "Statistical=0.892, p=0.004\n", + "POL-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.827, p=0.000\n", + "POL-ICT service exports (BoP, current US$)\n", + "Statistical=0.813, p=0.000\n", + "POL-Import unit value index (2000 = 100)\n", + "Statistical=0.834, p=0.000\n", + "POL-Import value index (2000 = 100)\n", + "Statistical=0.737, p=0.000\n", + "POL-Import volume index (2000 = 100)\n", + "Statistical=0.745, p=0.000\n", + "POL-Imports of goods and services (% of GDP)\n", + "Statistical=0.907, p=0.009\n", + "POL-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Imports of goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "POL-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Income share held by lowest 10%\n", + "Statistical=0.837, p=0.000\n", + "POL-Income share held by lowest 20%\n", + "Statistical=0.837, p=0.000\n", + "POL-Income share held by second 20%\n", + "Statistical=0.835, p=0.000\n", + "POL-Income share held by third 20%\n", + "Statistical=0.864, p=0.001\n", + "POL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.840, p=0.000\n", + "POL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.816, p=0.000\n", + "POL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.836, p=0.000\n", + "POL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.865, p=0.001\n", + "POL-Individuals using the Internet (% of population)\n", + "Statistical=0.805, p=0.000\n", + "POL-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.824, p=0.000\n", + "POL-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.543, p=0.000\n", + "POL-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.694, p=0.000\n", + "POL-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.713, p=0.000\n", + "POL-Intentional homicides (per 100,000 people)\n", + "Statistical=0.693, p=0.000\n", + "POL-Interest payments (% of revenue)\n", + "Statistical=0.661, p=0.000\n", + "POL-International migrant stock (% of population)\n", + "Statistical=0.681, p=0.000\n", + "POL-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.660, p=0.000\n", + "POL-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.720, p=0.000\n", + "POL-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.815, p=0.000\n", + "POL-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.720, p=0.000\n", + "POL-Land area (sq. km)\n", + "Statistical=0.717, p=0.000\n", + "POL-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.717, p=0.000\n", + "POL-Land under cereal production (hectares)\n", + "Statistical=0.717, p=0.000\n", + "POL-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.868, p=0.001\n", + "POL-Lifetime risk of maternal death (%)\n", + "Statistical=0.893, p=0.004\n", + "POL-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.829, p=0.000\n", + "POL-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.905, p=0.008\n", + "POL-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.816, p=0.000\n", + "POL-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.890, p=0.003\n", + "POL-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.748, p=0.000\n", + "POL-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.738, p=0.000\n", + "POL-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.734, p=0.000\n", + "POL-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.948, p=0.129\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.960, p=0.277\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Low-birthweight babies (% of births)\n", + "Statistical=0.926, p=0.031\n", + "POL-Lower secondary school starting age (years)\n", + "Statistical=0.930, p=0.038\n", + "POL-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.932, p=0.045\n", + "POL-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.923, p=0.025\n", + "POL-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.961, p=0.290\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Marine protected areas (% of territorial waters)\n", + "Statistical=0.846, p=0.000\n", + "POL-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.972, p=0.561\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.877, p=0.002\n", + "POL-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.899, p=0.006\n", + "POL-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.843, p=0.000\n", + "POL-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.907, p=0.009\n", + "POL-Merchandise exports (current US$)\n", + "Statistical=0.927, p=0.033\n", + "POL-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.955, p=0.204\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.932, p=0.043\n", + "POL-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.944, p=0.097\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.956, p=0.211\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.956, p=0.214\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.973, p=0.578\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.966, p=0.388\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.969, p=0.465\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.965, p=0.380\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.861, p=0.001\n", + "POL-Merchandise imports (current US$)\n", + "Statistical=0.833, p=0.000\n", + "POL-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.759, p=0.000\n", + "POL-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.964, p=0.362\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.852, p=0.000\n", + "POL-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.808, p=0.000\n", + "POL-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.850, p=0.000\n", + "POL-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.843, p=0.000\n", + "POL-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.874, p=0.001\n", + "POL-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.889, p=0.003\n", + "POL-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.877, p=0.002\n", + "POL-Merchandise trade (% of GDP)\n", + "Statistical=0.945, p=0.105\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Methane emissions (% change from 1990)\n", + "Statistical=0.886, p=0.003\n", + "POL-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.886, p=0.003\n", + "POL-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.873, p=0.001\n", + "POL-Military expenditure (% of GDP)\n", + "Statistical=0.857, p=0.001\n", + "POL-Military expenditure (% of general government expenditure)\n", + "Statistical=0.876, p=0.002\n", + "POL-Military expenditure (current USD)\n", + "Statistical=0.959, p=0.252\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Mineral rents (% of GDP)\n", + "Statistical=0.465, p=0.000\n", + "POL-Mobile cellular subscriptions\n", + "Statistical=0.915, p=0.015\n", + "POL-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.932, p=0.044\n", + "POL-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.808, p=0.000\n", + "POL-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.752, p=0.000\n", + "POL-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.803, p=0.000\n", + "POL-Natural gas rents (% of GDP)\n", + "Statistical=0.905, p=0.008\n", + "POL-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.963, p=0.333\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Net capital account (BoP, current US$)\n", + "Statistical=0.887, p=0.003\n", + "POL-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.958, p=0.248\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Net financial account (BoP, current US$)\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Net migration\n", + "Statistical=0.920, p=0.021\n", + "POL-Net primary income (BoP, current US$)\n", + "Statistical=0.920, p=0.021\n", + "POL-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.923, p=0.025\n", + "POL-Net secondary income (BoP, current US$)\n", + "Statistical=0.835, p=0.000\n", + "POL-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.748, p=0.000\n", + "POL-Net trade in goods (BoP, current US$)\n", + "Statistical=0.859, p=0.001\n", + "POL-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.800, p=0.000\n", + "POL-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.906, p=0.009\n", + "POL-New businesses registered (number)\n", + "Statistical=0.814, p=0.000\n", + "POL-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.775, p=0.000\n", + "POL-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.777, p=0.000\n", + "POL-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.962, p=0.308\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Number of deaths ages 10-14 years\n", + "Statistical=0.963, p=0.324\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Number of deaths ages 15-19 years\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Number of deaths ages 20-24 years\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Number of deaths ages 5-9 years\n", + "Statistical=0.950, p=0.141\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Number of infant deaths\n", + "Statistical=0.854, p=0.001\n", + "POL-Number of maternal deaths\n", + "Statistical=0.974, p=0.601\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Number of neonatal deaths\n", + "Statistical=0.964, p=0.360\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Number of under-five deaths\n", + "Statistical=0.934, p=0.050\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.928, p=0.035\n", + "POL-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.903, p=0.007\n", + "POL-Oil rents (% of GDP)\n", + "Statistical=0.921, p=0.022\n", + "POL-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.921, p=0.022\n", + "POL-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.783, p=0.000\n", + "POL-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.847, p=0.000\n", + "POL-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.928, p=0.034\n", + "POL-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.970, p=0.508\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-People using at least basic drinking water services (% of population)\n", + "Statistical=0.877, p=0.002\n", + "POL-People using at least basic sanitation services (% of population)\n", + "Statistical=0.897, p=0.005\n", + "POL-People using safely managed sanitation services (% of population)\n", + "Statistical=0.897, p=0.005\n", + "POL-Permanent cropland (% of land area)\n", + "Statistical=0.971, p=0.519\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Physicians (per 1,000 people)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Population ages 0-14 (% of total population)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Population ages 15-64 (% of total population)\n", + "Statistical=0.950, p=0.144\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Population ages 65 and above (% of total population)\n", + "Statistical=0.876, p=0.002\n", + "POL-Population density (people per sq. km of land area)\n", + "Statistical=0.966, p=0.401\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Population growth (annual %)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Population in largest city\n", + "Statistical=0.905, p=0.008\n", + "POL-Population in the largest city (% of urban population)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.888, p=0.003\n", + "POL-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.907, p=0.009\n", + "POL-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.906, p=0.009\n", + "POL-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=0.802, p=0.000\n", + "POL-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.915, p=0.015\n", + "POL-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.915, p=0.015\n", + "POL-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.953, p=0.181\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.881, p=0.002\n", + "POL-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.909, p=0.011\n", + "POL-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.914, p=0.015\n", + "POL-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.914, p=0.015\n", + "POL-Prevalence of undernourishment (% of population)\n", + "Statistical=0.953, p=0.175\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.889, p=0.003\n", + "POL-Primary income payments (BoP, current US$)\n", + "Statistical=0.865, p=0.001\n", + "POL-Primary income receipts (BoP, current US$)\n", + "Statistical=0.914, p=0.015\n", + "POL-Primary school starting age (years)\n", + "Statistical=0.912, p=0.012\n", + "POL-Private credit bureau coverage (% of adults)\n", + "Statistical=0.865, p=0.001\n", + "POL-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.915, p=0.015\n", + "POL-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.912, p=0.013\n", + "POL-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.953, p=0.181\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Procedures to build a warehouse (number)\n", + "Statistical=0.930, p=0.039\n", + "POL-Procedures to register property (number)\n", + "Statistical=0.916, p=0.017\n", + "POL-Profit tax (% of commercial profits)\n", + "Statistical=0.916, p=0.017\n", + "POL-Progression to secondary school (%)\n", + "Statistical=0.923, p=0.025\n", + "POL-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.844, p=0.000\n", + "POL-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.784, p=0.000\n", + "POL-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.879, p=0.002\n", + "POL-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.881, p=0.002\n", + "POL-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.961, p=0.296\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.841, p=0.000\n", + "POL-Public credit registry coverage (% of adults)\n", + "Statistical=0.773, p=0.000\n", + "POL-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.821, p=0.000\n", + "POL-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.908, p=0.010\n", + "POL-Rail lines (total route-km)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.779, p=0.000\n", + "POL-Refugee population by country or territory of asylum\n", + "Statistical=0.898, p=0.006\n", + "POL-Refugee population by country or territory of origin\n", + "Statistical=0.923, p=0.025\n", + "POL-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.910, p=0.011\n", + "POL-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.910, p=0.011\n", + "POL-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.913, p=0.013\n", + "POL-Research and development expenditure (% of GDP)\n", + "Statistical=0.857, p=0.001\n", + "POL-Researchers in R&D (per million people)\n", + "Statistical=0.904, p=0.008\n", + "POL-Reserves and related items (BoP, current US$)\n", + "Statistical=0.958, p=0.248\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.875, p=0.002\n", + "POL-Rural land area (sq. km)\n", + "Statistical=0.829, p=0.000\n", + "POL-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.909, p=0.010\n", + "POL-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.925, p=0.029\n", + "POL-Rural population\n", + "Statistical=0.909, p=0.010\n", + "POL-Rural population (% of total population)\n", + "Statistical=0.909, p=0.010\n", + "POL-Rural population growth (annual %)\n", + "Statistical=0.908, p=0.010\n", + "POL-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.851, p=0.000\n", + "POL-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.669, p=0.000\n", + "POL-Scientific and technical journal articles\n", + "Statistical=0.725, p=0.000\n", + "POL-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.967, p=0.415\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Secure Internet servers\n", + "Statistical=0.959, p=0.252\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Secure Internet servers (per 1 million people)\n", + "Statistical=0.917, p=0.017\n", + "POL-Service exports (BoP, current US$)\n", + "Statistical=0.917, p=0.017\n", + "POL-Service imports (BoP, current US$)\n", + "Statistical=0.919, p=0.020\n", + "POL-Sex ratio at birth (male births per female births)\n", + "Statistical=0.831, p=0.000\n", + "POL-Social contributions (% of revenue)\n", + "Statistical=0.887, p=0.003\n", + "POL-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.923, p=0.025\n", + "POL-Start-up procedures to register a business (number)\n", + "Statistical=0.895, p=0.005\n", + "POL-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.890, p=0.003\n", + "POL-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.837, p=0.000\n", + "POL-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.907, p=0.009\n", + "POL-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.907, p=0.009\n", + "POL-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.918, p=0.018\n", + "POL-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.835, p=0.000\n", + "POL-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.822, p=0.000\n", + "POL-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.731, p=0.000\n", + "POL-Surface area (sq. km)\n", + "Statistical=0.733, p=0.000\n", + "POL-Tax payments (number)\n", + "Statistical=0.791, p=0.000\n", + "POL-Tax revenue (% of GDP)\n", + "Statistical=0.925, p=0.029\n", + "POL-Taxes less subsidies on products (current US$)\n", + "Statistical=0.921, p=0.023\n", + "POL-Taxes on goods and services (% of revenue)\n", + "Statistical=0.921, p=0.023\n", + "POL-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.921, p=0.022\n", + "POL-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.834, p=0.000\n", + "POL-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.921, p=0.022\n", + "POL-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.923, p=0.026\n", + "POL-Time required to build a warehouse (days)\n", + "Statistical=0.921, p=0.023\n", + "POL-Time required to enforce a contract (days)\n", + "Statistical=0.884, p=0.002\n", + "POL-Time required to get electricity (days)\n", + "Statistical=0.970, p=0.497\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Time required to register property (days)\n", + "Statistical=0.921, p=0.022\n", + "POL-Time required to start a business (days)\n", + "Statistical=0.405, p=0.000\n", + "POL-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.407, p=0.000\n", + "POL-Time to obtain an electrical connection (days)\n", + "Statistical=0.409, p=0.000\n", + "POL-Time to prepare and pay taxes (hours)\n", + "Statistical=0.409, p=0.000\n", + "POL-Time to resolve insolvency (years)\n", + "Statistical=0.654, p=0.000\n", + "POL-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.400, p=0.000\n", + "POL-Total fisheries production (metric tons)\n", + "Statistical=0.408, p=0.000\n", + "POL-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.381, p=0.000\n", + "POL-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.382, p=0.000\n", + "POL-Total natural resources rents (% of GDP)\n", + "Statistical=0.841, p=0.000\n", + "POL-Total reserves (includes gold, current US$)\n", + "Statistical=0.919, p=0.019\n", + "POL-Total reserves in months of imports\n", + "Statistical=0.799, p=0.000\n", + "POL-Total reserves minus gold (current US$)\n", + "Statistical=0.742, p=0.000\n", + "POL-Total tax and contribution rate (% of profit)\n", + "Statistical=0.792, p=0.000\n", + "POL-Trade (% of GDP)\n", + "Statistical=0.775, p=0.000\n", + "POL-Trade in services (% of GDP)\n", + "Statistical=0.874, p=0.001\n", + "POL-Transport services (% of commercial service exports)\n", + "Statistical=0.812, p=0.000\n", + "POL-Transport services (% of commercial service imports)\n", + "Statistical=0.859, p=0.001\n", + "POL-Transport services (% of service exports, BoP)\n", + "Statistical=0.841, p=0.000\n", + "POL-Transport services (% of service imports, BoP)\n", + "Statistical=0.911, p=0.012\n", + "POL-Travel services (% of commercial service exports)\n", + "Statistical=0.880, p=0.002\n", + "POL-Travel services (% of commercial service imports)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Travel services (% of service exports, BoP)\n", + "Statistical=0.908, p=0.010\n", + "POL-Travel services (% of service imports, BoP)\n", + "Statistical=0.908, p=0.010\n", + "POL-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.897, p=0.005\n", + "POL-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.865, p=0.001\n", + "POL-UHC service coverage index\n", + "Statistical=0.872, p=0.001\n", + "POL-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.863, p=0.001\n", + "POL-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.776, p=0.000\n", + "POL-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.811, p=0.000\n", + "POL-Urban land area (sq. km)\n", + "Statistical=0.785, p=0.000\n", + "POL-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.686, p=0.000\n", + "POL-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.645, p=0.000\n", + "POL-Urban population\n", + "Statistical=0.736, p=0.000\n", + "POL-Urban population (% of total population)\n", + "Statistical=0.800, p=0.000\n", + "POL-Urban population growth (annual %)\n", + "Statistical=0.840, p=0.000\n", + "POL-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.840, p=0.000\n", + "POL-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.891, p=0.004\n", + "POL-GDP (current US$)+1\n", + "Statistical=0.891, p=0.004\n", + "POL-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-GDP (current US$)+2\n", + "Statistical=0.265, p=0.000\n", + "POL-GDP (current US$)+3\n", + "Statistical=0.265, p=0.000\n", + "POL-GDP (current US$)+5\n", + "Statistical=0.885, p=0.003\n", + "POL-GDP (current US$)+8\n", + "Statistical=0.957, p=0.227\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-GDP (current US$)+13\n", + "Statistical=0.841, p=0.000\n", + "POL-GDP (current US$)+21\n", + "Statistical=0.841, p=0.000\n", + "POL-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.902, p=0.007\n", + "POL-Deposit interest rate (%)\n", + "Statistical=0.802, p=0.000\n", + "POL-Other taxes (% of revenue)\n", + "Statistical=0.878, p=0.002\n", + "POL-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.757, p=0.000\n", + "POL-Taxes on international trade (% of revenue)\n", + "Statistical=0.757, p=0.000\n", + "POL-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.741, p=0.000\n", + "POL-Broad money (% of GDP)\n", + "Statistical=0.954, p=0.184\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Broad money growth (annual %)\n", + "Statistical=0.912, p=0.013\n", + "POL-Broad money to total reserves ratio\n", + "Statistical=0.955, p=0.199\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.907, p=0.009\n", + "POL-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.872, p=0.001\n", + "POL-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-External health expenditure (% of current health expenditure)\n", + "Statistical=0.947, p=0.115\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-External health expenditure per capita (current US$)\n", + "Statistical=0.650, p=0.000\n", + "POL-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.855, p=0.001\n", + "POL-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.853, p=0.000\n", + "POL-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.870, p=0.001\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "POL-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-People practicing open defecation (% of population)\n", + "Statistical=0.933, p=0.047\n", + "POL-Taxes on exports (% of tax revenue)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.882, p=0.002\n", + "POL-Country\n", + "Statistical=0.814, p=0.000\n", + "POL-Year\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "POL-Continent\n", + "Statistical=0.904, p=0.008\n", + "GRC-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.635, p=0.000\n", + "GRC-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.632, p=0.000\n", + "GRC-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.639, p=0.000\n", + "GRC-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.640, p=0.000\n", + "GRC-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.613, p=0.000\n", + "GRC-Age dependency ratio (% of working-age population)\n", + "Statistical=0.634, p=0.000\n", + "GRC-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.653, p=0.000\n", + "GRC-Agricultural land (% of land area)\n", + "Statistical=0.634, p=0.000\n", + "GRC-Agricultural land (sq. km)\n", + "Statistical=0.531, p=0.000\n", + "GRC-Agricultural methane emissions (% of total)\n", + "Statistical=0.761, p=0.000\n", + "GRC-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.842, p=0.000\n", + "GRC-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.696, p=0.000\n", + "GRC-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.639, p=0.000\n", + "GRC-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.709, p=0.000\n", + "GRC-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.856, p=0.001\n", + "GRC-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.663, p=0.000\n", + "GRC-Aquaculture production (metric tons)\n", + "Statistical=0.727, p=0.000\n", + "GRC-Arable land (% of land area)\n", + "Statistical=0.861, p=0.001\n", + "GRC-Arable land (hectares per person)\n", + "Statistical=0.769, p=0.000\n", + "GRC-Arable land (hectares)\n", + "Statistical=0.745, p=0.000\n", + "GRC-Armed forces personnel (% of total labor force)\n", + "Statistical=0.769, p=0.000\n", + "GRC-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.742, p=0.000\n", + "GRC-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.764, p=0.000\n", + "GRC-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.868, p=0.001\n", + "GRC-Average precipitation in depth (mm per year)\n", + "Statistical=0.738, p=0.000\n", + "GRC-Average time to clear exports through customs (days)\n", + "Statistical=0.933, p=0.047\n", + "GRC-Births attended by skilled health staff (% of total)\n", + "Statistical=0.760, p=0.000\n", + "GRC-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.860, p=0.001\n", + "GRC-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.795, p=0.000\n", + "GRC-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.891, p=0.004\n", + "GRC-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.765, p=0.000\n", + "GRC-CO2 emissions (kt)\n", + "Statistical=0.724, p=0.000\n", + "GRC-CO2 emissions (metric tons per capita)\n", + "Statistical=0.915, p=0.015\n", + "GRC-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.857, p=0.001\n", + "GRC-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.766, p=0.000\n", + "GRC-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.784, p=0.000\n", + "GRC-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.839, p=0.000\n", + "GRC-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.813, p=0.000\n", + "GRC-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.921, p=0.022\n", + "GRC-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.882, p=0.002\n", + "GRC-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.905, p=0.008\n", + "GRC-Capture fisheries production (metric tons)\n", + "Statistical=0.864, p=0.001\n", + "GRC-Cereal production (metric tons)\n", + "Statistical=0.887, p=0.003\n", + "GRC-Cereal yield (kg per hectare)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Changes in inventories (current US$)\n", + "Statistical=0.855, p=0.001\n", + "GRC-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.686, p=0.000\n", + "GRC-Children out of school (% of primary school age)\n", + "Statistical=0.877, p=0.002\n", + "GRC-Coal rents (% of GDP)\n", + "Statistical=0.877, p=0.002\n", + "GRC-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.712, p=0.000\n", + "GRC-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.777, p=0.000\n", + "GRC-Commercial service exports (current US$)\n", + "Statistical=0.884, p=0.002\n", + "GRC-Commercial service imports (current US$)\n", + "Statistical=0.920, p=0.021\n", + "GRC-Completeness of birth registration (%)\n", + "Statistical=0.850, p=0.000\n", + "GRC-Consumer price index (2010 = 100)\n", + "Statistical=0.907, p=0.009\n", + "GRC-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.914, p=0.014\n", + "GRC-Crop production index (2014-2016 = 100)\n", + "Statistical=0.867, p=0.001\n", + "GRC-Current account balance (% of GDP)\n", + "Statistical=0.878, p=0.002\n", + "GRC-Current account balance (BoP, current US$)\n", + "Statistical=0.960, p=0.267\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Current health expenditure (% of GDP)\n", + "Statistical=0.899, p=0.006\n", + "GRC-Current health expenditure per capita (current US$)\n", + "Statistical=0.899, p=0.006\n", + "GRC-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.885, p=0.003\n", + "GRC-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.928, p=0.034\n", + "GRC-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.907, p=0.010\n", + "GRC-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.895, p=0.005\n", + "GRC-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.953, p=0.180\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.826, p=0.000\n", + "GRC-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.926, p=0.030\n", + "GRC-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.758, p=0.000\n", + "GRC-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.914, p=0.015\n", + "GRC-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.931, p=0.043\n", + "GRC-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.931, p=0.043\n", + "GRC-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.852, p=0.000\n", + "GRC-Electric power consumption (kWh per capita)\n", + "Statistical=0.862, p=0.001\n", + "GRC-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.921, p=0.022\n", + "GRC-Electricity production from coal sources (% of total)\n", + "Statistical=0.862, p=0.001\n", + "GRC-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.792, p=0.000\n", + "GRC-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.846, p=0.000\n", + "GRC-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.924, p=0.027\n", + "GRC-Electricity production from oil sources (% of total)\n", + "Statistical=0.925, p=0.029\n", + "GRC-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.852, p=0.000\n", + "GRC-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.759, p=0.000\n", + "GRC-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.926, p=0.030\n", + "GRC-Export unit value index (2000 = 100)\n", + "Statistical=0.922, p=0.023\n", + "GRC-Export value index (2000 = 100)\n", + "Statistical=0.754, p=0.000\n", + "GRC-Export volume index (2000 = 100)\n", + "Statistical=0.773, p=0.000\n", + "GRC-Exports of goods and services (% of GDP)\n", + "Statistical=0.778, p=0.000\n", + "GRC-Exports of goods and services (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Exports of goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-External balance on goods and services (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-External balance on goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.639, p=0.000\n", + "GRC-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.907, p=0.009\n", + "GRC-Final consumption expenditure (% of GDP)\n", + "Statistical=0.907, p=0.009\n", + "GRC-Final consumption expenditure (current US$)\n", + "Statistical=0.916, p=0.016\n", + "GRC-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.923, p=0.025\n", + "GRC-Firms offering formal training (% of firms)\n", + "Statistical=0.916, p=0.016\n", + "GRC-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.850, p=0.000\n", + "GRC-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.892, p=0.004\n", + "GRC-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.857, p=0.001\n", + "GRC-Fixed broadband subscriptions\n", + "Statistical=0.948, p=0.125\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.913, p=0.013\n", + "GRC-Fixed telephone subscriptions\n", + "Statistical=0.922, p=0.024\n", + "GRC-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.882, p=0.002\n", + "GRC-Food exports (% of merchandise exports)\n", + "Statistical=0.862, p=0.001\n", + "GRC-Food imports (% of merchandise imports)\n", + "Statistical=0.899, p=0.006\n", + "GRC-Food production index (2014-2016 = 100)\n", + "Statistical=0.872, p=0.001\n", + "GRC-Forest area (% of land area)\n", + "Statistical=0.922, p=0.024\n", + "GRC-Forest area (sq. km)\n", + "Statistical=0.875, p=0.002\n", + "GRC-Forest rents (% of GDP)\n", + "Statistical=0.888, p=0.003\n", + "GRC-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.767, p=0.000\n", + "GRC-Fuel exports (% of merchandise exports)\n", + "Statistical=0.826, p=0.000\n", + "GRC-Fuel imports (% of merchandise imports)\n", + "Statistical=0.711, p=0.000\n", + "GRC-GDP (current US$)\n", + "Statistical=0.921, p=0.022\n", + "GRC-GDP deflator (base year varies by country)\n", + "Statistical=0.954, p=0.188\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.958, p=0.238\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-GDP growth (annual %)\n", + "Statistical=0.977, p=0.706\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-GDP per capita (current US$)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-GDP per capita growth (annual %)\n", + "Statistical=0.873, p=0.001\n", + "GRC-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.890, p=0.004\n", + "GRC-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.778, p=0.000\n", + "GRC-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.858, p=0.001\n", + "GRC-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.712, p=0.000\n", + "GRC-GNI (current US$)\n", + "Statistical=0.743, p=0.000\n", + "GRC-GNI growth (annual %)\n", + "Statistical=0.813, p=0.000\n", + "GRC-GNI per capita growth (annual %)\n", + "Statistical=0.689, p=0.000\n", + "GRC-General government final consumption expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-General government final consumption expenditure (current US$)\n", + "Statistical=0.868, p=0.001\n", + "GRC-Gini index\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Goods exports (BoP, current US$)\n", + "Statistical=0.891, p=0.004\n", + "GRC-Goods imports (BoP, current US$)\n", + "Statistical=0.882, p=0.002\n", + "GRC-Grants and other revenue (% of revenue)\n", + "Statistical=0.860, p=0.001\n", + "GRC-Gross capital formation (% of GDP)\n", + "Statistical=0.912, p=0.013\n", + "GRC-Gross capital formation (current US$)\n", + "Statistical=0.914, p=0.015\n", + "GRC-Gross domestic savings (% of GDP)\n", + "Statistical=0.675, p=0.000\n", + "GRC-Gross domestic savings (current US$)\n", + "Statistical=0.910, p=0.011\n", + "GRC-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Gross national expenditure (current US$)\n", + "Statistical=0.632, p=0.000\n", + "GRC-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.672, p=0.000\n", + "GRC-Gross savings (% of GDP)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Gross savings (current US$)\n", + "Statistical=0.882, p=0.002\n", + "GRC-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.783, p=0.000\n", + "GRC-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-High-technology exports (% of manufactured exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-High-technology exports (current US$)\n", + "Statistical=0.857, p=0.001\n", + "GRC-Hospital beds (per 1,000 people)\n", + "Statistical=0.927, p=0.033\n", + "GRC-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.883, p=0.002\n", + "GRC-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.763, p=0.000\n", + "GRC-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.763, p=0.000\n", + "GRC-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.763, p=0.000\n", + "GRC-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.927, p=0.032\n", + "GRC-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.905, p=0.008\n", + "GRC-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.948, p=0.128\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.509, p=0.000\n", + "GRC-ICT goods exports (% of total goods exports)\n", + "Statistical=0.855, p=0.001\n", + "GRC-ICT goods imports (% total goods imports)\n", + "Statistical=0.614, p=0.000\n", + "GRC-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.892, p=0.004\n", + "GRC-ICT service exports (BoP, current US$)\n", + "Statistical=0.873, p=0.001\n", + "GRC-Import unit value index (2000 = 100)\n", + "Statistical=0.864, p=0.001\n", + "GRC-Import value index (2000 = 100)\n", + "Statistical=0.792, p=0.000\n", + "GRC-Import volume index (2000 = 100)\n", + "Statistical=0.901, p=0.006\n", + "GRC-Imports of goods and services (% of GDP)\n", + "Statistical=0.970, p=0.509\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.812, p=0.000\n", + "GRC-Imports of goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "GRC-Income share held by highest 10%\n", + "Statistical=0.873, p=0.001\n", + "GRC-Income share held by highest 20%\n", + "Statistical=0.702, p=0.000\n", + "GRC-Income share held by lowest 10%\n", + "Statistical=0.833, p=0.000\n", + "GRC-Income share held by lowest 20%\n", + "Statistical=0.833, p=0.000\n", + "GRC-Income share held by second 20%\n", + "Statistical=0.893, p=0.004\n", + "GRC-Income share held by third 20%\n", + "Statistical=0.860, p=0.001\n", + "GRC-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.820, p=0.000\n", + "GRC-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.870, p=0.001\n", + "GRC-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.861, p=0.001\n", + "GRC-Individuals using the Internet (% of population)\n", + "Statistical=0.840, p=0.000\n", + "GRC-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.817, p=0.000\n", + "GRC-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.474, p=0.000\n", + "GRC-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.804, p=0.000\n", + "GRC-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.789, p=0.000\n", + "GRC-Intentional homicides (per 100,000 people)\n", + "Statistical=0.800, p=0.000\n", + "GRC-Interest payments (% of revenue)\n", + "Statistical=0.785, p=0.000\n", + "GRC-International migrant stock (% of population)\n", + "Statistical=0.793, p=0.000\n", + "GRC-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.806, p=0.000\n", + "GRC-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.778, p=0.000\n", + "GRC-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.689, p=0.000\n", + "GRC-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.760, p=0.000\n", + "GRC-Land area (sq. km)\n", + "Statistical=0.802, p=0.000\n", + "GRC-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.770, p=0.000\n", + "GRC-Land under cereal production (hectares)\n", + "Statistical=0.791, p=0.000\n", + "GRC-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.886, p=0.003\n", + "GRC-Lifetime risk of maternal death (%)\n", + "Statistical=0.933, p=0.046\n", + "GRC-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.901, p=0.007\n", + "GRC-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.847, p=0.000\n", + "GRC-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.912, p=0.013\n", + "GRC-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.882, p=0.002\n", + "GRC-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.792, p=0.000\n", + "GRC-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.790, p=0.000\n", + "GRC-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.918, p=0.018\n", + "GRC-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.967, p=0.423\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Low-birthweight babies (% of births)\n", + "Statistical=0.962, p=0.318\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Lower secondary school starting age (years)\n", + "Statistical=0.830, p=0.000\n", + "GRC-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.836, p=0.000\n", + "GRC-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.882, p=0.002\n", + "GRC-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.818, p=0.000\n", + "GRC-Marine protected areas (% of territorial waters)\n", + "Statistical=0.885, p=0.003\n", + "GRC-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.770, p=0.000\n", + "GRC-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.910, p=0.011\n", + "GRC-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.841, p=0.000\n", + "GRC-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.902, p=0.007\n", + "GRC-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.959, p=0.254\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.961, p=0.295\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Merchandise exports (current US$)\n", + "Statistical=0.769, p=0.000\n", + "GRC-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.789, p=0.000\n", + "GRC-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.933, p=0.046\n", + "GRC-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.849, p=0.000\n", + "GRC-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.864, p=0.001\n", + "GRC-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.830, p=0.000\n", + "GRC-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.837, p=0.000\n", + "GRC-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.830, p=0.000\n", + "GRC-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.839, p=0.000\n", + "GRC-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Merchandise imports (current US$)\n", + "Statistical=0.851, p=0.000\n", + "GRC-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.810, p=0.000\n", + "GRC-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.851, p=0.000\n", + "GRC-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.877, p=0.002\n", + "GRC-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.769, p=0.000\n", + "GRC-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.863, p=0.001\n", + "GRC-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.828, p=0.000\n", + "GRC-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.792, p=0.000\n", + "GRC-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.915, p=0.015\n", + "GRC-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.884, p=0.003\n", + "GRC-Merchandise trade (% of GDP)\n", + "Statistical=0.947, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Methane emissions (% change from 1990)\n", + "Statistical=0.929, p=0.037\n", + "GRC-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.929, p=0.037\n", + "GRC-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.929, p=0.036\n", + "GRC-Military expenditure (% of GDP)\n", + "Statistical=0.892, p=0.004\n", + "GRC-Military expenditure (% of general government expenditure)\n", + "Statistical=0.877, p=0.002\n", + "GRC-Military expenditure (current USD)\n", + "Statistical=0.889, p=0.003\n", + "GRC-Mineral rents (% of GDP)\n", + "Statistical=0.957, p=0.228\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Mobile cellular subscriptions\n", + "Statistical=0.920, p=0.021\n", + "GRC-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.927, p=0.033\n", + "GRC-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Natural gas rents (% of GDP)\n", + "Statistical=0.940, p=0.076\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.933, p=0.049\n", + "GRC-Net capital account (BoP, current US$)\n", + "Statistical=0.970, p=0.494\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.893, p=0.004\n", + "GRC-Net financial account (BoP, current US$)\n", + "Statistical=0.897, p=0.005\n", + "GRC-Net migration\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Net primary income (BoP, current US$)\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Net secondary income (BoP, current US$)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.759, p=0.000\n", + "GRC-Net trade in goods (BoP, current US$)\n", + "Statistical=0.759, p=0.000\n", + "GRC-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.759, p=0.000\n", + "GRC-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.759, p=0.000\n", + "GRC-New businesses registered (number)\n", + "Statistical=0.759, p=0.000\n", + "GRC-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.780, p=0.000\n", + "GRC-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.781, p=0.000\n", + "GRC-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.956, p=0.209\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Number of deaths ages 10-14 years\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Number of deaths ages 15-19 years\n", + "Statistical=0.909, p=0.011\n", + "GRC-Number of deaths ages 20-24 years\n", + "Statistical=0.970, p=0.498\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Number of deaths ages 5-9 years\n", + "Statistical=0.963, p=0.329\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Number of infant deaths\n", + "Statistical=0.905, p=0.008\n", + "GRC-Number of maternal deaths\n", + "Statistical=0.944, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Number of neonatal deaths\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Number of under-five deaths\n", + "Statistical=0.928, p=0.034\n", + "GRC-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.977, p=0.724\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.952, p=0.167\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Oil rents (% of GDP)\n", + "Statistical=0.845, p=0.000\n", + "GRC-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.845, p=0.000\n", + "GRC-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.904, p=0.008\n", + "GRC-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.788, p=0.000\n", + "GRC-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.860, p=0.001\n", + "GRC-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.933, p=0.049\n", + "GRC-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.930, p=0.039\n", + "GRC-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.930, p=0.039\n", + "GRC-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-People using at least basic drinking water services (% of population)\n", + "Statistical=0.945, p=0.107\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-People using at least basic sanitation services (% of population)\n", + "Statistical=0.848, p=0.000\n", + "GRC-People using safely managed sanitation services (% of population)\n", + "Statistical=0.848, p=0.000\n", + "GRC-Permanent cropland (% of land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Physicians (per 1,000 people)\n", + "Statistical=0.917, p=0.017\n", + "GRC-Population ages 0-14 (% of total population)\n", + "Statistical=0.917, p=0.017\n", + "GRC-Population ages 15-64 (% of total population)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Population ages 65 and above (% of total population)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Population density (people per sq. km of land area)\n", + "Statistical=0.913, p=0.013\n", + "GRC-Population growth (annual %)\n", + "Statistical=0.917, p=0.017\n", + "GRC-Population in largest city\n", + "Statistical=0.890, p=0.003\n", + "GRC-Population in the largest city (% of urban population)\n", + "Statistical=0.921, p=0.022\n", + "GRC-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.878, p=0.002\n", + "GRC-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.882, p=0.002\n", + "GRC-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.930, p=0.039\n", + "GRC-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.892, p=0.004\n", + "GRC-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=0.898, p=0.006\n", + "GRC-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.715, p=0.000\n", + "GRC-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.715, p=0.000\n", + "GRC-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.824, p=0.000\n", + "GRC-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.857, p=0.001\n", + "GRC-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.688, p=0.000\n", + "GRC-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.713, p=0.000\n", + "GRC-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.713, p=0.000\n", + "GRC-Prevalence of undernourishment (% of population)\n", + "Statistical=0.824, p=0.000\n", + "GRC-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.661, p=0.000\n", + "GRC-Primary income payments (BoP, current US$)\n", + "Statistical=0.841, p=0.000\n", + "GRC-Primary income receipts (BoP, current US$)\n", + "Statistical=0.713, p=0.000\n", + "GRC-Primary school starting age (years)\n", + "Statistical=0.836, p=0.000\n", + "GRC-Private credit bureau coverage (% of adults)\n", + "Statistical=0.840, p=0.000\n", + "GRC-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.715, p=0.000\n", + "GRC-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.864, p=0.001\n", + "GRC-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.824, p=0.000\n", + "GRC-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.962, p=0.309\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Procedures to build a warehouse (number)\n", + "Statistical=0.947, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Procedures to register property (number)\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Profit tax (% of commercial profits)\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Progression to secondary school (%)\n", + "Statistical=0.947, p=0.120\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.934, p=0.049\n", + "GRC-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.913, p=0.013\n", + "GRC-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.886, p=0.003\n", + "GRC-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.925, p=0.028\n", + "GRC-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.857, p=0.001\n", + "GRC-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.818, p=0.000\n", + "GRC-Public credit registry coverage (% of adults)\n", + "Statistical=0.478, p=0.000\n", + "GRC-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.796, p=0.000\n", + "GRC-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.730, p=0.000\n", + "GRC-Rail lines (total route-km)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Refugee population by country or territory of asylum\n", + "Statistical=0.852, p=0.000\n", + "GRC-Refugee population by country or territory of origin\n", + "Statistical=0.991, p=0.995\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.901, p=0.007\n", + "GRC-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.901, p=0.007\n", + "GRC-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.894, p=0.004\n", + "GRC-Research and development expenditure (% of GDP)\n", + "Statistical=0.803, p=0.000\n", + "GRC-Researchers in R&D (per million people)\n", + "Statistical=0.933, p=0.048\n", + "GRC-Reserves and related items (BoP, current US$)\n", + "Statistical=0.893, p=0.004\n", + "GRC-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.955, p=0.196\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Rural land area (sq. km)\n", + "Statistical=0.919, p=0.019\n", + "GRC-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.823, p=0.000\n", + "GRC-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.979, p=0.776\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Rural population\n", + "Statistical=0.877, p=0.002\n", + "GRC-Rural population (% of total population)\n", + "Statistical=0.877, p=0.002\n", + "GRC-Rural population growth (annual %)\n", + "Statistical=0.882, p=0.002\n", + "GRC-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.805, p=0.000\n", + "GRC-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.921, p=0.022\n", + "GRC-Scientific and technical journal articles\n", + "Statistical=0.909, p=0.011\n", + "GRC-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Secure Internet servers\n", + "Statistical=0.894, p=0.004\n", + "GRC-Secure Internet servers (per 1 million people)\n", + "Statistical=0.906, p=0.009\n", + "GRC-Service exports (BoP, current US$)\n", + "Statistical=0.906, p=0.009\n", + "GRC-Service imports (BoP, current US$)\n", + "Statistical=0.954, p=0.190\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Sex ratio at birth (male births per female births)\n", + "Statistical=0.932, p=0.043\n", + "GRC-Social contributions (% of revenue)\n", + "Statistical=0.859, p=0.001\n", + "GRC-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.753, p=0.000\n", + "GRC-Start-up procedures to register a business (number)\n", + "Statistical=0.758, p=0.000\n", + "GRC-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.747, p=0.000\n", + "GRC-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.705, p=0.000\n", + "GRC-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.933, p=0.047\n", + "GRC-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.901, p=0.007\n", + "GRC-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.762, p=0.000\n", + "GRC-Surface area (sq. km)\n", + "Statistical=0.699, p=0.000\n", + "GRC-Tax payments (number)\n", + "Statistical=0.855, p=0.001\n", + "GRC-Tax revenue (% of GDP)\n", + "Statistical=0.906, p=0.009\n", + "GRC-Taxes less subsidies on products (current US$)\n", + "Statistical=0.957, p=0.221\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Taxes on goods and services (% of revenue)\n", + "Statistical=0.957, p=0.221\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.947, p=0.119\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.949, p=0.137\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.903, p=0.007\n", + "GRC-Time required to build a warehouse (days)\n", + "Statistical=0.957, p=0.221\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Time required to enforce a contract (days)\n", + "Statistical=0.893, p=0.004\n", + "GRC-Time required to get electricity (days)\n", + "Statistical=0.957, p=0.231\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Time required to register property (days)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Time required to start a business (days)\n", + "Statistical=0.675, p=0.000\n", + "GRC-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.682, p=0.000\n", + "GRC-Time to obtain an electrical connection (days)\n", + "Statistical=0.682, p=0.000\n", + "GRC-Time to prepare and pay taxes (hours)\n", + "Statistical=0.683, p=0.000\n", + "GRC-Time to resolve insolvency (years)\n", + "Statistical=0.678, p=0.000\n", + "GRC-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.678, p=0.000\n", + "GRC-Total fisheries production (metric tons)\n", + "Statistical=0.681, p=0.000\n", + "GRC-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.676, p=0.000\n", + "GRC-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.673, p=0.000\n", + "GRC-Total natural resources rents (% of GDP)\n", + "Statistical=0.895, p=0.005\n", + "GRC-Total reserves (includes gold, current US$)\n", + "Statistical=0.868, p=0.001\n", + "GRC-Total reserves in months of imports\n", + "Statistical=0.864, p=0.001\n", + "GRC-Total reserves minus gold (current US$)\n", + "Statistical=0.851, p=0.000\n", + "GRC-Total tax and contribution rate (% of profit)\n", + "Statistical=0.795, p=0.000\n", + "GRC-Trade (% of GDP)\n", + "Statistical=0.663, p=0.000\n", + "GRC-Trade in services (% of GDP)\n", + "Statistical=0.833, p=0.000\n", + "GRC-Transport services (% of commercial service exports)\n", + "Statistical=0.854, p=0.001\n", + "GRC-Transport services (% of commercial service imports)\n", + "Statistical=0.901, p=0.007\n", + "GRC-Transport services (% of service exports, BoP)\n", + "Statistical=0.902, p=0.007\n", + "GRC-Transport services (% of service imports, BoP)\n", + "Statistical=0.960, p=0.276\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Travel services (% of commercial service exports)\n", + "Statistical=0.926, p=0.030\n", + "GRC-Travel services (% of commercial service imports)\n", + "Statistical=0.977, p=0.701\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Travel services (% of service exports, BoP)\n", + "Statistical=0.916, p=0.016\n", + "GRC-Travel services (% of service imports, BoP)\n", + "Statistical=0.916, p=0.016\n", + "GRC-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.916, p=0.016\n", + "GRC-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-UHC service coverage index\n", + "Statistical=0.932, p=0.044\n", + "GRC-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.840, p=0.000\n", + "GRC-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.952, p=0.163\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.905, p=0.009\n", + "GRC-Urban land area (sq. km)\n", + "Statistical=0.899, p=0.006\n", + "GRC-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.864, p=0.001\n", + "GRC-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.859, p=0.001\n", + "GRC-Urban population\n", + "Statistical=0.918, p=0.019\n", + "GRC-Urban population (% of total population)\n", + "Statistical=0.897, p=0.005\n", + "GRC-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-GDP (current US$)+2\n", + "Statistical=0.650, p=0.000\n", + "GRC-GDP (current US$)+3\n", + "Statistical=0.705, p=0.000\n", + "GRC-GDP (current US$)+5\n", + "Statistical=0.861, p=0.001\n", + "GRC-GDP (current US$)+8\n", + "Statistical=0.960, p=0.281\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-GDP (current US$)+13\n", + "Statistical=0.883, p=0.002\n", + "GRC-GDP (current US$)+21\n", + "Statistical=0.883, p=0.002\n", + "GRC-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.917, p=0.017\n", + "GRC-Deposit interest rate (%)\n", + "Statistical=0.775, p=0.000\n", + "GRC-Other taxes (% of revenue)\n", + "Statistical=0.888, p=0.003\n", + "GRC-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.852, p=0.000\n", + "GRC-Taxes on international trade (% of revenue)\n", + "Statistical=0.852, p=0.000\n", + "GRC-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.911, p=0.012\n", + "GRC-Broad money (% of GDP)\n", + "Statistical=0.929, p=0.037\n", + "GRC-Broad money growth (annual %)\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Broad money to total reserves ratio\n", + "Statistical=0.928, p=0.035\n", + "GRC-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.958, p=0.236\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.887, p=0.003\n", + "GRC-External health expenditure (% of current health expenditure)\n", + "Statistical=0.960, p=0.271\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-External health expenditure per capita (current US$)\n", + "Statistical=0.485, p=0.000\n", + "GRC-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.779, p=0.000\n", + "GRC-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.782, p=0.000\n", + "GRC-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.886, p=0.003\n", + "GRC-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.874, p=0.001\n", + "GRC-People practicing open defecation (% of population)\n", + "Statistical=0.799, p=0.000\n", + "GRC-Taxes on exports (% of tax revenue)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.897, p=0.005\n", + "GRC-Country\n", + "Statistical=0.970, p=0.489\n", + "Data is NORMAL ( H0 not denied )\n", + "GRC-Year\n", + "Statistical=0.916, p=0.017\n", + "GRC-Continent\n", + "Statistical=0.767, p=0.000\n", + "AUT-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.609, p=0.000\n", + "AUT-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.610, p=0.000\n", + "AUT-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.566, p=0.000\n", + "AUT-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.585, p=0.000\n", + "AUT-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.614, p=0.000\n", + "AUT-Age dependency ratio (% of working-age population)\n", + "Statistical=0.611, p=0.000\n", + "AUT-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.600, p=0.000\n", + "AUT-Agricultural land (% of land area)\n", + "Statistical=0.583, p=0.000\n", + "AUT-Agricultural land (sq. km)\n", + "Statistical=0.463, p=0.000\n", + "AUT-Agricultural methane emissions (% of total)\n", + "Statistical=0.833, p=0.000\n", + "AUT-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.862, p=0.001\n", + "AUT-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.736, p=0.000\n", + "AUT-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.976, p=0.688\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.924, p=0.027\n", + "AUT-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.849, p=0.000\n", + "AUT-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.957, p=0.231\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Aquaculture production (metric tons)\n", + "Statistical=0.877, p=0.002\n", + "AUT-Arable land (% of land area)\n", + "Statistical=0.855, p=0.001\n", + "AUT-Arable land (hectares per person)\n", + "Statistical=0.855, p=0.001\n", + "AUT-Arable land (hectares)\n", + "Statistical=0.793, p=0.000\n", + "AUT-Armed forces personnel (% of total labor force)\n", + "Statistical=0.828, p=0.000\n", + "AUT-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.793, p=0.000\n", + "AUT-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.965, p=0.373\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Average precipitation in depth (mm per year)\n", + "Statistical=0.921, p=0.022\n", + "AUT-Average time to clear exports through customs (days)\n", + "Statistical=0.866, p=0.001\n", + "AUT-Births attended by skilled health staff (% of total)\n", + "Statistical=0.976, p=0.688\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.869, p=0.001\n", + "AUT-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.958, p=0.247\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.900, p=0.006\n", + "AUT-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.772, p=0.000\n", + "AUT-CO2 emissions (kt)\n", + "Statistical=0.915, p=0.015\n", + "AUT-CO2 emissions (metric tons per capita)\n", + "Statistical=0.851, p=0.000\n", + "AUT-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.953, p=0.173\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.857, p=0.001\n", + "AUT-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.727, p=0.000\n", + "AUT-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.869, p=0.001\n", + "AUT-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.956, p=0.210\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.927, p=0.033\n", + "AUT-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.920, p=0.021\n", + "AUT-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.930, p=0.040\n", + "AUT-Capture fisheries production (metric tons)\n", + "Statistical=0.949, p=0.131\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Cereal production (metric tons)\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Cereal yield (kg per hectare)\n", + "Statistical=0.853, p=0.000\n", + "AUT-Changes in inventories (current US$)\n", + "Statistical=0.891, p=0.004\n", + "AUT-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.867, p=0.001\n", + "AUT-Children out of school (% of primary school age)\n", + "Statistical=0.917, p=0.017\n", + "AUT-Coal rents (% of GDP)\n", + "Statistical=0.917, p=0.017\n", + "AUT-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.686, p=0.000\n", + "AUT-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.849, p=0.000\n", + "AUT-Commercial service exports (current US$)\n", + "Statistical=0.826, p=0.000\n", + "AUT-Commercial service imports (current US$)\n", + "Statistical=0.802, p=0.000\n", + "AUT-Completeness of birth registration (%)\n", + "Statistical=0.841, p=0.000\n", + "AUT-Consumer price index (2010 = 100)\n", + "Statistical=0.903, p=0.007\n", + "AUT-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.842, p=0.000\n", + "AUT-Crop production index (2014-2016 = 100)\n", + "Statistical=0.953, p=0.176\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Current account balance (% of GDP)\n", + "Statistical=0.866, p=0.001\n", + "AUT-Current account balance (BoP, current US$)\n", + "Statistical=0.951, p=0.152\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Current health expenditure (% of GDP)\n", + "Statistical=0.952, p=0.164\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Current health expenditure per capita (current US$)\n", + "Statistical=0.952, p=0.164\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.960, p=0.271\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.980, p=0.785\n", + "Data is NORMAL ( H0 not denied )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "AUT-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.920, p=0.021\n", + "AUT-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.933, p=0.047\n", + "AUT-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.910, p=0.011\n", + "AUT-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.899, p=0.006\n", + "AUT-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.783, p=0.000\n", + "AUT-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.815, p=0.000\n", + "AUT-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.863, p=0.001\n", + "AUT-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.826, p=0.000\n", + "AUT-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.826, p=0.000\n", + "AUT-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Electric power consumption (kWh per capita)\n", + "Statistical=0.961, p=0.283\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.953, p=0.172\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Electricity production from coal sources (% of total)\n", + "Statistical=0.961, p=0.284\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.892, p=0.004\n", + "AUT-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.888, p=0.003\n", + "AUT-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.877, p=0.002\n", + "AUT-Electricity production from oil sources (% of total)\n", + "Statistical=0.768, p=0.000\n", + "AUT-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.666, p=0.000\n", + "AUT-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.772, p=0.000\n", + "AUT-Export unit value index (2000 = 100)\n", + "Statistical=0.888, p=0.003\n", + "AUT-Export value index (2000 = 100)\n", + "Statistical=0.754, p=0.000\n", + "AUT-Export volume index (2000 = 100)\n", + "Statistical=0.773, p=0.000\n", + "AUT-Exports of goods and services (% of GDP)\n", + "Statistical=0.778, p=0.000\n", + "AUT-Exports of goods and services (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Exports of goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-External balance on goods and services (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-External balance on goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.917, p=0.017\n", + "AUT-Final consumption expenditure (% of GDP)\n", + "Statistical=0.916, p=0.016\n", + "AUT-Final consumption expenditure (current US$)\n", + "Statistical=0.926, p=0.031\n", + "AUT-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.930, p=0.039\n", + "AUT-Firms offering formal training (% of firms)\n", + "Statistical=0.918, p=0.019\n", + "AUT-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.943, p=0.091\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.929, p=0.037\n", + "AUT-Fixed broadband subscriptions\n", + "Statistical=0.956, p=0.215\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.929, p=0.037\n", + "AUT-Fixed telephone subscriptions\n", + "Statistical=0.926, p=0.030\n", + "AUT-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.824, p=0.000\n", + "AUT-Food exports (% of merchandise exports)\n", + "Statistical=0.872, p=0.001\n", + "AUT-Food imports (% of merchandise imports)\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Food production index (2014-2016 = 100)\n", + "Statistical=0.914, p=0.014\n", + "AUT-Forest area (% of land area)\n", + "Statistical=0.908, p=0.010\n", + "AUT-Forest area (sq. km)\n", + "Statistical=0.856, p=0.001\n", + "AUT-Forest rents (% of GDP)\n", + "Statistical=0.826, p=0.000\n", + "AUT-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.758, p=0.000\n", + "AUT-Fuel exports (% of merchandise exports)\n", + "Statistical=0.687, p=0.000\n", + "AUT-Fuel imports (% of merchandise imports)\n", + "Statistical=0.733, p=0.000\n", + "AUT-GDP (current US$)\n", + "Statistical=0.913, p=0.013\n", + "AUT-GDP deflator (base year varies by country)\n", + "Statistical=0.953, p=0.181\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.958, p=0.246\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-GDP growth (annual %)\n", + "Statistical=0.947, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-GDP per capita (current US$)\n", + "Statistical=0.801, p=0.000\n", + "AUT-GDP per capita growth (annual %)\n", + "Statistical=0.786, p=0.000\n", + "AUT-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.977, p=0.717\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.771, p=0.000\n", + "AUT-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.769, p=0.000\n", + "AUT-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.762, p=0.000\n", + "AUT-GNI (current US$)\n", + "Statistical=0.777, p=0.000\n", + "AUT-GNI growth (annual %)\n", + "Statistical=0.785, p=0.000\n", + "AUT-GNI per capita growth (annual %)\n", + "Statistical=0.751, p=0.000\n", + "AUT-General government final consumption expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-General government final consumption expenditure (current US$)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Gini index\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Goods exports (BoP, current US$)\n", + "Statistical=0.714, p=0.000\n", + "AUT-Goods imports (BoP, current US$)\n", + "Statistical=0.800, p=0.000\n", + "AUT-Grants and other revenue (% of revenue)\n", + "Statistical=0.899, p=0.006\n", + "AUT-Gross capital formation (% of GDP)\n", + "Statistical=0.791, p=0.000\n", + "AUT-Gross capital formation (current US$)\n", + "Statistical=0.750, p=0.000\n", + "AUT-Gross domestic savings (% of GDP)\n", + "Statistical=0.804, p=0.000\n", + "AUT-Gross domestic savings (current US$)\n", + "Statistical=0.789, p=0.000\n", + "AUT-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Gross national expenditure (current US$)\n", + "Statistical=0.602, p=0.000\n", + "AUT-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.807, p=0.000\n", + "AUT-Gross savings (% of GDP)\n", + "Statistical=0.790, p=0.000\n", + "AUT-Gross savings (current US$)\n", + "Statistical=0.960, p=0.268\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.615, p=0.000\n", + "AUT-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.729, p=0.000\n", + "AUT-High-technology exports (% of manufactured exports)\n", + "Statistical=0.834, p=0.000\n", + "AUT-High-technology exports (current US$)\n", + "Statistical=0.894, p=0.004\n", + "AUT-Hospital beds (per 1,000 people)\n", + "Statistical=0.918, p=0.019\n", + "AUT-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.811, p=0.000\n", + "AUT-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.811, p=0.000\n", + "AUT-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.811, p=0.000\n", + "AUT-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.933, p=0.047\n", + "AUT-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.818, p=0.000\n", + "AUT-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.777, p=0.000\n", + "AUT-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.889, p=0.003\n", + "AUT-ICT goods exports (% of total goods exports)\n", + "Statistical=0.834, p=0.000\n", + "AUT-ICT goods imports (% total goods imports)\n", + "Statistical=0.858, p=0.001\n", + "AUT-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.808, p=0.000\n", + "AUT-ICT service exports (BoP, current US$)\n", + "Statistical=0.788, p=0.000\n", + "AUT-Import unit value index (2000 = 100)\n", + "Statistical=0.838, p=0.000\n", + "AUT-Import value index (2000 = 100)\n", + "Statistical=0.623, p=0.000\n", + "AUT-Import volume index (2000 = 100)\n", + "Statistical=0.700, p=0.000\n", + "AUT-Imports of goods and services (% of GDP)\n", + "Statistical=0.970, p=0.486\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.903, p=0.007\n", + "AUT-Imports of goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "AUT-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Income share held by highest 20%\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Income share held by lowest 10%\n", + "Statistical=0.952, p=0.161\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Income share held by lowest 20%\n", + "Statistical=0.951, p=0.150\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Income share held by second 20%\n", + "Statistical=0.801, p=0.000\n", + "AUT-Income share held by third 20%\n", + "Statistical=0.883, p=0.002\n", + "AUT-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.848, p=0.000\n", + "AUT-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.789, p=0.000\n", + "AUT-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.836, p=0.000\n", + "AUT-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.883, p=0.002\n", + "AUT-Individuals using the Internet (% of population)\n", + "Statistical=0.789, p=0.000\n", + "AUT-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.839, p=0.000\n", + "AUT-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.554, p=0.000\n", + "AUT-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Intentional homicides (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Interest payments (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-International migrant stock (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.672, p=0.000\n", + "AUT-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.631, p=0.000\n", + "AUT-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.649, p=0.000\n", + "AUT-Land area (sq. km)\n", + "Statistical=0.524, p=0.000\n", + "AUT-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.464, p=0.000\n", + "AUT-Land under cereal production (hectares)\n", + "Statistical=0.527, p=0.000\n", + "AUT-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.830, p=0.000\n", + "AUT-Lifetime risk of maternal death (%)\n", + "Statistical=0.913, p=0.014\n", + "AUT-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.909, p=0.011\n", + "AUT-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.955, p=0.201\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.957, p=0.221\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.908, p=0.010\n", + "AUT-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.933, p=0.046\n", + "AUT-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.821, p=0.000\n", + "AUT-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.826, p=0.000\n", + "AUT-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.929, p=0.036\n", + "AUT-Low-birthweight babies (% of births)\n", + "Statistical=0.967, p=0.412\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Lower secondary school starting age (years)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.927, p=0.033\n", + "AUT-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.882, p=0.002\n", + "AUT-Marine protected areas (% of territorial waters)\n", + "Statistical=0.892, p=0.004\n", + "AUT-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.881, p=0.002\n", + "AUT-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.897, p=0.005\n", + "AUT-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.884, p=0.002\n", + "AUT-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.894, p=0.004\n", + "AUT-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.910, p=0.012\n", + "AUT-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.911, p=0.012\n", + "AUT-Merchandise exports (current US$)\n", + "Statistical=0.962, p=0.321\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.958, p=0.240\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.934, p=0.050\n", + "AUT-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.932, p=0.044\n", + "AUT-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.901, p=0.006\n", + "AUT-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.926, p=0.030\n", + "AUT-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.919, p=0.019\n", + "AUT-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.928, p=0.035\n", + "AUT-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.902, p=0.007\n", + "AUT-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.933, p=0.046\n", + "AUT-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Merchandise imports (current US$)\n", + "Statistical=0.926, p=0.029\n", + "AUT-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.729, p=0.000\n", + "AUT-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.910, p=0.011\n", + "AUT-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.912, p=0.013\n", + "AUT-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.883, p=0.002\n", + "AUT-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.813, p=0.000\n", + "AUT-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.823, p=0.000\n", + "AUT-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.833, p=0.000\n", + "AUT-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.927, p=0.032\n", + "AUT-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.872, p=0.001\n", + "AUT-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.791, p=0.000\n", + "AUT-Merchandise trade (% of GDP)\n", + "Statistical=0.974, p=0.609\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Methane emissions (% change from 1990)\n", + "Statistical=0.925, p=0.028\n", + "AUT-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.925, p=0.028\n", + "AUT-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.925, p=0.029\n", + "AUT-Military expenditure (% of GDP)\n", + "Statistical=0.856, p=0.001\n", + "AUT-Military expenditure (% of general government expenditure)\n", + "Statistical=0.791, p=0.000\n", + "AUT-Military expenditure (current USD)\n", + "Statistical=0.850, p=0.000\n", + "AUT-Mineral rents (% of GDP)\n", + "Statistical=0.864, p=0.001\n", + "AUT-Mobile cellular subscriptions\n", + "Statistical=0.876, p=0.002\n", + "AUT-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.887, p=0.003\n", + "AUT-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Natural gas rents (% of GDP)\n", + "Statistical=0.980, p=0.804\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Net barter terms of trade index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Net capital account (BoP, current US$)\n", + "Statistical=0.966, p=0.399\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.965, p=0.373\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Net financial account (BoP, current US$)\n", + "Statistical=0.943, p=0.093\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Net migration\n", + "Statistical=0.926, p=0.029\n", + "AUT-Net primary income (BoP, current US$)\n", + "Statistical=0.926, p=0.029\n", + "AUT-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Net secondary income (BoP, current US$)\n", + "Statistical=0.853, p=0.000\n", + "AUT-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Net trade in goods (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Net trade in goods and services (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-New businesses registered (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.820, p=0.000\n", + "AUT-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.806, p=0.000\n", + "AUT-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Number of deaths ages 10-14 years\n", + "Statistical=0.909, p=0.011\n", + "AUT-Number of deaths ages 15-19 years\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Number of deaths ages 20-24 years\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Number of deaths ages 5-9 years\n", + "Statistical=0.976, p=0.683\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Number of infant deaths\n", + "Statistical=0.925, p=0.028\n", + "AUT-Number of maternal deaths\n", + "Statistical=0.793, p=0.000\n", + "AUT-Number of neonatal deaths\n", + "Statistical=0.949, p=0.135\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Number of under-five deaths\n", + "Statistical=0.932, p=0.046\n", + "AUT-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.931, p=0.043\n", + "AUT-Oil rents (% of GDP)\n", + "Statistical=0.958, p=0.236\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.955, p=0.199\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.971, p=0.523\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.818, p=0.000\n", + "AUT-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.906, p=0.009\n", + "AUT-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.931, p=0.041\n", + "AUT-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.931, p=0.041\n", + "AUT-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.931, p=0.041\n", + "AUT-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.947, p=0.116\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-People using at least basic drinking water services (% of population)\n", + "Statistical=0.854, p=0.000\n", + "AUT-People using at least basic sanitation services (% of population)\n", + "Statistical=0.952, p=0.159\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-People using safely managed sanitation services (% of population)\n", + "Statistical=0.952, p=0.159\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Permanent cropland (% of land area)\n", + "Statistical=0.981, p=0.820\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Physicians (per 1,000 people)\n", + "Statistical=0.889, p=0.003\n", + "AUT-Population ages 0-14 (% of total population)\n", + "Statistical=0.889, p=0.003\n", + "AUT-Population ages 15-64 (% of total population)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Population ages 65 and above (% of total population)\n", + "Statistical=0.853, p=0.000\n", + "AUT-Population density (people per sq. km of land area)\n", + "Statistical=0.966, p=0.407\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Population growth (annual %)\n", + "Statistical=0.889, p=0.003\n", + "AUT-Population in largest city\n", + "Statistical=0.931, p=0.042\n", + "AUT-Population in the largest city (% of urban population)\n", + "Statistical=0.833, p=0.000\n", + "AUT-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.879, p=0.002\n", + "AUT-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.907, p=0.009\n", + "AUT-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.931, p=0.041\n", + "AUT-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.928, p=0.035\n", + "AUT-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.947, p=0.116\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=0.799, p=0.000\n", + "AUT-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.920, p=0.021\n", + "AUT-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.920, p=0.021\n", + "AUT-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.944, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.849, p=0.000\n", + "AUT-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.965, p=0.379\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.882, p=0.002\n", + "AUT-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.882, p=0.002\n", + "AUT-Prevalence of undernourishment (% of population)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.960, p=0.272\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Primary income payments (BoP, current US$)\n", + "Statistical=0.837, p=0.000\n", + "AUT-Primary income receipts (BoP, current US$)\n", + "Statistical=0.882, p=0.002\n", + "AUT-Primary school starting age (years)\n", + "Statistical=0.928, p=0.035\n", + "AUT-Private credit bureau coverage (% of adults)\n", + "Statistical=0.838, p=0.000\n", + "AUT-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.920, p=0.021\n", + "AUT-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.926, p=0.031\n", + "AUT-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.944, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.959, p=0.253\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Procedures to build a warehouse (number)\n", + "Statistical=0.949, p=0.137\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Procedures to register property (number)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Profit tax (% of commercial profits)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Progression to secondary school (%)\n", + "Statistical=0.952, p=0.167\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.872, p=0.001\n", + "AUT-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.950, p=0.144\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.804, p=0.000\n", + "AUT-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.805, p=0.000\n", + "AUT-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.979, p=0.768\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.979, p=0.780\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Public credit registry coverage (% of adults)\n", + "Statistical=0.920, p=0.020\n", + "AUT-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.916, p=0.016\n", + "AUT-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.765, p=0.000\n", + "AUT-Rail lines (total route-km)\n", + "Statistical=0.919, p=0.019\n", + "AUT-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.867, p=0.001\n", + "AUT-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Refugee population by country or territory of asylum\n", + "Statistical=0.943, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Refugee population by country or territory of origin\n", + "Statistical=0.977, p=0.707\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.971, p=0.517\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.971, p=0.517\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Research and development expenditure (% of GDP)\n", + "Statistical=0.896, p=0.005\n", + "AUT-Researchers in R&D (per million people)\n", + "Statistical=0.933, p=0.048\n", + "AUT-Reserves and related items (BoP, current US$)\n", + "Statistical=0.965, p=0.373\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Rural land area (sq. km)\n", + "Statistical=0.873, p=0.001\n", + "AUT-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.928, p=0.035\n", + "AUT-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.973, p=0.582\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Rural population\n", + "Statistical=0.963, p=0.340\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Rural population (% of total population)\n", + "Statistical=0.963, p=0.340\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Rural population growth (annual %)\n", + "Statistical=0.951, p=0.154\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.902, p=0.007\n", + "AUT-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.855, p=0.001\n", + "AUT-Scientific and technical journal articles\n", + "Statistical=0.859, p=0.001\n", + "AUT-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.911, p=0.012\n", + "AUT-Secure Internet servers\n", + "Statistical=0.874, p=0.001\n", + "AUT-Secure Internet servers (per 1 million people)\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Service exports (BoP, current US$)\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Service imports (BoP, current US$)\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Sex ratio at birth (male births per female births)\n", + "Statistical=0.861, p=0.001\n", + "AUT-Social contributions (% of revenue)\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.791, p=0.000\n", + "AUT-Start-up procedures to register a business (number)\n", + "Statistical=0.819, p=0.000\n", + "AUT-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.781, p=0.000\n", + "AUT-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.789, p=0.000\n", + "AUT-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.857, p=0.001\n", + "AUT-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.838, p=0.000\n", + "AUT-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.799, p=0.000\n", + "AUT-Surface area (sq. km)\n", + "Statistical=0.779, p=0.000\n", + "AUT-Tax payments (number)\n", + "Statistical=0.803, p=0.000\n", + "AUT-Tax revenue (% of GDP)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Taxes less subsidies on products (current US$)\n", + "Statistical=0.926, p=0.031\n", + "AUT-Taxes on goods and services (% of revenue)\n", + "Statistical=0.926, p=0.031\n", + "AUT-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.856, p=0.001\n", + "AUT-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.887, p=0.003\n", + "AUT-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.960, p=0.268\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Time required to build a warehouse (days)\n", + "Statistical=0.926, p=0.031\n", + "AUT-Time required to enforce a contract (days)\n", + "Statistical=0.930, p=0.039\n", + "AUT-Time required to get electricity (days)\n", + "Statistical=0.946, p=0.110\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Time required to register property (days)\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Time required to start a business (days)\n", + "Statistical=0.652, p=0.000\n", + "AUT-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.656, p=0.000\n", + "AUT-Time to obtain an electrical connection (days)\n", + "Statistical=0.653, p=0.000\n", + "AUT-Time to prepare and pay taxes (hours)\n", + "Statistical=0.658, p=0.000\n", + "AUT-Time to resolve insolvency (years)\n", + "Statistical=0.647, p=0.000\n", + "AUT-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.652, p=0.000\n", + "AUT-Total fisheries production (metric tons)\n", + "Statistical=0.643, p=0.000\n", + "AUT-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.659, p=0.000\n", + "AUT-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.656, p=0.000\n", + "AUT-Total natural resources rents (% of GDP)\n", + "Statistical=0.837, p=0.000\n", + "AUT-Total reserves (includes gold, current US$)\n", + "Statistical=0.795, p=0.000\n", + "AUT-Total reserves in months of imports\n", + "Statistical=0.785, p=0.000\n", + "AUT-Total reserves minus gold (current US$)\n", + "Statistical=0.780, p=0.000\n", + "AUT-Total tax and contribution rate (% of profit)\n", + "Statistical=0.948, p=0.128\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Trade (% of GDP)\n", + "Statistical=0.794, p=0.000\n", + "AUT-Trade in services (% of GDP)\n", + "Statistical=0.892, p=0.004\n", + "AUT-Transport services (% of commercial service exports)\n", + "Statistical=0.801, p=0.000\n", + "AUT-Transport services (% of commercial service imports)\n", + "Statistical=0.824, p=0.000\n", + "AUT-Transport services (% of service exports, BoP)\n", + "Statistical=0.823, p=0.000\n", + "AUT-Transport services (% of service imports, BoP)\n", + "Statistical=0.914, p=0.014\n", + "AUT-Travel services (% of commercial service exports)\n", + "Statistical=0.788, p=0.000\n", + "AUT-Travel services (% of commercial service imports)\n", + "Statistical=0.963, p=0.338\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Travel services (% of service exports, BoP)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Travel services (% of service imports, BoP)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.930, p=0.040\n", + "AUT-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.861, p=0.001\n", + "AUT-UHC service coverage index\n", + "Statistical=0.795, p=0.000\n", + "AUT-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.866, p=0.001\n", + "AUT-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.913, p=0.013\n", + "AUT-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Urban land area (sq. km)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.904, p=0.008\n", + "AUT-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.841, p=0.000\n", + "AUT-Urban population\n", + "Statistical=0.890, p=0.003\n", + "AUT-Urban population (% of total population)\n", + "Statistical=0.866, p=0.001\n", + "AUT-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=0.846, p=0.000\n", + "AUT-GDP (current US$)+2\n", + "Statistical=0.783, p=0.000\n", + "AUT-GDP (current US$)+3\n", + "Statistical=0.893, p=0.004\n", + "AUT-GDP (current US$)+5\n", + "Statistical=0.879, p=0.002\n", + "AUT-GDP (current US$)+8\n", + "Statistical=0.957, p=0.226\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-GDP (current US$)+13\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-GDP (current US$)+21\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.954, p=0.188\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Deposit interest rate (%)\n", + "Statistical=0.864, p=0.001\n", + "AUT-Other taxes (% of revenue)\n", + "Statistical=0.880, p=0.002\n", + "AUT-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.980, p=0.798\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Taxes on international trade (% of revenue)\n", + "Statistical=0.980, p=0.798\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.978, p=0.733\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Broad money (% of GDP)\n", + "Statistical=0.768, p=0.000\n", + "AUT-Broad money growth (annual %)\n", + "Statistical=0.788, p=0.000\n", + "AUT-Broad money to total reserves ratio\n", + "Statistical=0.768, p=0.000\n", + "AUT-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.788, p=0.000\n", + "AUT-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.963, p=0.334\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.957, p=0.222\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-External health expenditure (% of current health expenditure)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-External health expenditure per capita (current US$)\n", + "Statistical=0.556, p=0.000\n", + "AUT-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.904, p=0.008\n", + "AUT-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.905, p=0.008\n", + "AUT-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.388, p=0.000\n", + "AUT-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.825, p=0.000\n", + "AUT-People practicing open defecation (% of population)\n", + "Statistical=0.824, p=0.000\n", + "AUT-Taxes on exports (% of tax revenue)\n", + "Statistical=0.945, p=0.102\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data is NORMAL ( H0 not denied )\n", + "AUT-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.880, p=0.002\n", + "AUT-Country\n", + "Statistical=0.432, p=0.000\n", + "AUT-Year\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "AUT-Continent\n", + "Statistical=0.880, p=0.002\n", + "NLD-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.621, p=0.000\n", + "NLD-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.617, p=0.000\n", + "NLD-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.607, p=0.000\n", + "NLD-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.613, p=0.000\n", + "NLD-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.718, p=0.000\n", + "NLD-Age dependency ratio (% of working-age population)\n", + "Statistical=0.603, p=0.000\n", + "NLD-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.604, p=0.000\n", + "NLD-Agricultural land (% of land area)\n", + "Statistical=0.607, p=0.000\n", + "NLD-Agricultural land (sq. km)\n", + "Statistical=0.673, p=0.000\n", + "NLD-Agricultural methane emissions (% of total)\n", + "Statistical=0.531, p=0.000\n", + "NLD-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.472, p=0.000\n", + "NLD-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.588, p=0.000\n", + "NLD-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.984, p=0.902\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.929, p=0.036\n", + "NLD-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.857, p=0.001\n", + "NLD-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.985, p=0.928\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Aquaculture production (metric tons)\n", + "Statistical=0.905, p=0.008\n", + "NLD-Arable land (% of land area)\n", + "Statistical=0.862, p=0.001\n", + "NLD-Arable land (hectares per person)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Arable land (hectares)\n", + "Statistical=0.928, p=0.036\n", + "NLD-Armed forces personnel (% of total labor force)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.929, p=0.036\n", + "NLD-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.928, p=0.035\n", + "NLD-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.944, p=0.099\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Average precipitation in depth (mm per year)\n", + "Statistical=0.959, p=0.261\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Average time to clear exports through customs (days)\n", + "Statistical=0.831, p=0.000\n", + "NLD-Births attended by skilled health staff (% of total)\n", + "Statistical=0.980, p=0.814\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.847, p=0.000\n", + "NLD-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.891, p=0.004\n", + "NLD-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.833, p=0.000\n", + "NLD-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.919, p=0.019\n", + "NLD-CO2 emissions (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-CO2 emissions (metric tons per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.891, p=0.004\n", + "NLD-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.905, p=0.008\n", + "NLD-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.968, p=0.438\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.883, p=0.002\n", + "NLD-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.858, p=0.001\n", + "NLD-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.886, p=0.003\n", + "NLD-Capture fisheries production (metric tons)\n", + "Statistical=0.777, p=0.000\n", + "NLD-Cereal production (metric tons)\n", + "Statistical=0.900, p=0.006\n", + "NLD-Cereal yield (kg per hectare)\n", + "Statistical=0.854, p=0.001\n", + "NLD-Changes in inventories (current US$)\n", + "Statistical=0.882, p=0.002\n", + "NLD-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.752, p=0.000\n", + "NLD-Children out of school (% of primary school age)\n", + "Statistical=0.893, p=0.004\n", + "NLD-Coal rents (% of GDP)\n", + "Statistical=0.890, p=0.003\n", + "NLD-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.652, p=0.000\n", + "NLD-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.756, p=0.000\n", + "NLD-Commercial service exports (current US$)\n", + "Statistical=0.778, p=0.000\n", + "NLD-Commercial service imports (current US$)\n", + "Statistical=0.900, p=0.006\n", + "NLD-Completeness of birth registration (%)\n", + "Statistical=0.812, p=0.000\n", + "NLD-Consumer price index (2010 = 100)\n", + "Statistical=0.829, p=0.000\n", + "NLD-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.844, p=0.000\n", + "NLD-Crop production index (2014-2016 = 100)\n", + "Statistical=0.872, p=0.001\n", + "NLD-Current account balance (% of GDP)\n", + "Statistical=0.819, p=0.000\n", + "NLD-Current account balance (BoP, current US$)\n", + "Statistical=0.978, p=0.738\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Current health expenditure (% of GDP)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Current health expenditure per capita (current US$)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.921, p=0.022\n", + "NLD-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.815, p=0.000\n", + "NLD-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.957, p=0.227\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.967, p=0.427\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.976, p=0.678\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.856, p=0.001\n", + "NLD-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.701, p=0.000\n", + "NLD-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.911, p=0.012\n", + "NLD-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.892, p=0.004\n", + "NLD-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.884, p=0.002\n", + "NLD-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.884, p=0.002\n", + "NLD-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.855, p=0.001\n", + "NLD-Electric power consumption (kWh per capita)\n", + "Statistical=0.865, p=0.001\n", + "NLD-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Electricity production from coal sources (% of total)\n", + "Statistical=0.869, p=0.001\n", + "NLD-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.815, p=0.000\n", + "NLD-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.814, p=0.000\n", + "NLD-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Electricity production from oil sources (% of total)\n", + "Statistical=0.963, p=0.322\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.776, p=0.000\n", + "NLD-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.908, p=0.010\n", + "NLD-Export unit value index (2000 = 100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Export value index (2000 = 100)\n", + "Statistical=0.754, p=0.000\n", + "NLD-Export volume index (2000 = 100)\n", + "Statistical=0.773, p=0.000\n", + "NLD-Exports of goods and services (% of GDP)\n", + "Statistical=0.778, p=0.000\n", + "NLD-Exports of goods and services (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Exports of goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-External balance on goods and services (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-External balance on goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.585, p=0.000\n", + "NLD-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.903, p=0.008\n", + "NLD-Final consumption expenditure (% of GDP)\n", + "Statistical=0.903, p=0.008\n", + "NLD-Final consumption expenditure (current US$)\n", + "Statistical=0.890, p=0.004\n", + "NLD-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.963, p=0.338\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Firms offering formal training (% of firms)\n", + "Statistical=0.926, p=0.031\n", + "NLD-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.910, p=0.011\n", + "NLD-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.930, p=0.040\n", + "NLD-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.904, p=0.008\n", + "NLD-Fixed broadband subscriptions\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Fixed telephone subscriptions\n", + "Statistical=0.949, p=0.137\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.879, p=0.002\n", + "NLD-Food exports (% of merchandise exports)\n", + "Statistical=0.917, p=0.018\n", + "NLD-Food imports (% of merchandise imports)\n", + "Statistical=0.889, p=0.003\n", + "NLD-Food production index (2014-2016 = 100)\n", + "Statistical=0.904, p=0.008\n", + "NLD-Forest area (% of land area)\n", + "Statistical=0.922, p=0.024\n", + "NLD-Forest area (sq. km)\n", + "Statistical=0.901, p=0.007\n", + "NLD-Forest rents (% of GDP)\n", + "Statistical=0.961, p=0.298\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.835, p=0.000\n", + "NLD-Fuel exports (% of merchandise exports)\n", + "Statistical=0.788, p=0.000\n", + "NLD-Fuel imports (% of merchandise imports)\n", + "Statistical=0.874, p=0.001\n", + "NLD-GDP (current US$)\n", + "Statistical=0.901, p=0.007\n", + "NLD-GDP deflator (base year varies by country)\n", + "Statistical=0.959, p=0.250\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.965, p=0.381\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-GDP growth (annual %)\n", + "Statistical=0.967, p=0.430\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-GDP per capita (current US$)\n", + "Statistical=0.835, p=0.000\n", + "NLD-GDP per capita growth (annual %)\n", + "Statistical=0.842, p=0.000\n", + "NLD-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.934, p=0.049\n", + "NLD-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.524, p=0.000\n", + "NLD-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.472, p=0.000\n", + "NLD-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.588, p=0.000\n", + "NLD-GNI (current US$)\n", + "Statistical=0.531, p=0.000\n", + "NLD-GNI growth (annual %)\n", + "Statistical=0.474, p=0.000\n", + "NLD-GNI per capita growth (annual %)\n", + "Statistical=0.602, p=0.000\n", + "NLD-General government final consumption expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-General government final consumption expenditure (current US$)\n", + "Statistical=0.811, p=0.000\n", + "NLD-Gini index\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Goods imports (BoP, current US$)\n", + "Statistical=0.768, p=0.000\n", + "NLD-Grants and other revenue (% of revenue)\n", + "Statistical=0.800, p=0.000\n", + "NLD-Gross capital formation (% of GDP)\n", + "Statistical=0.895, p=0.005\n", + "NLD-Gross capital formation (current US$)\n", + "Statistical=0.866, p=0.001\n", + "NLD-Gross domestic savings (% of GDP)\n", + "Statistical=0.837, p=0.000\n", + "NLD-Gross domestic savings (current US$)\n", + "Statistical=0.836, p=0.000\n", + "NLD-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.834, p=0.000\n", + "NLD-Gross savings (% of GDP)\n", + "Statistical=0.828, p=0.000\n", + "NLD-Gross savings (current US$)\n", + "Statistical=0.957, p=0.222\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.844, p=0.000\n", + "NLD-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-High-technology exports (% of manufactured exports)\n", + "Statistical=0.885, p=0.003\n", + "NLD-High-technology exports (current US$)\n", + "Statistical=0.843, p=0.000\n", + "NLD-Hospital beds (per 1,000 people)\n", + "Statistical=0.922, p=0.024\n", + "NLD-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.864, p=0.001\n", + "NLD-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.771, p=0.000\n", + "NLD-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.771, p=0.000\n", + "NLD-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.771, p=0.000\n", + "NLD-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.989, p=0.985\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.954, p=0.191\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.916, p=0.016\n", + "NLD-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.745, p=0.000\n", + "NLD-ICT goods exports (% of total goods exports)\n", + "Statistical=0.789, p=0.000\n", + "NLD-ICT goods imports (% total goods imports)\n", + "Statistical=0.922, p=0.023\n", + "NLD-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.825, p=0.000\n", + "NLD-ICT service exports (BoP, current US$)\n", + "Statistical=0.790, p=0.000\n", + "NLD-Import unit value index (2000 = 100)\n", + "Statistical=0.854, p=0.001\n", + "NLD-Import value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Import volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Imports of goods and services (% of GDP)\n", + "Statistical=0.927, p=0.033\n", + "NLD-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.897, p=0.005\n", + "NLD-Imports of goods and services (current US$)\n", + "Statistical=0.772, p=0.000\n", + "NLD-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=0.438, p=0.000\n", + "NLD-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "NLD-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Income share held by lowest 10%\n", + "Statistical=0.916, p=0.016\n", + "NLD-Income share held by lowest 20%\n", + "Statistical=0.916, p=0.016\n", + "NLD-Income share held by second 20%\n", + "Statistical=0.860, p=0.001\n", + "NLD-Income share held by third 20%\n", + "Statistical=0.899, p=0.006\n", + "NLD-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.860, p=0.001\n", + "NLD-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.799, p=0.000\n", + "NLD-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.858, p=0.001\n", + "NLD-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.900, p=0.006\n", + "NLD-Individuals using the Internet (% of population)\n", + "Statistical=0.773, p=0.000\n", + "NLD-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.841, p=0.000\n", + "NLD-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.452, p=0.000\n", + "NLD-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.765, p=0.000\n", + "NLD-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.766, p=0.000\n", + "NLD-Intentional homicides (per 100,000 people)\n", + "Statistical=0.774, p=0.000\n", + "NLD-Interest payments (% of revenue)\n", + "Statistical=0.773, p=0.000\n", + "NLD-International migrant stock (% of population)\n", + "Statistical=0.740, p=0.000\n", + "NLD-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.775, p=0.000\n", + "NLD-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.757, p=0.000\n", + "NLD-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.780, p=0.000\n", + "NLD-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.764, p=0.000\n", + "NLD-Land area (sq. km)\n", + "Statistical=0.794, p=0.000\n", + "NLD-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.734, p=0.000\n", + "NLD-Land under cereal production (hectares)\n", + "Statistical=0.777, p=0.000\n", + "NLD-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.854, p=0.001\n", + "NLD-Lifetime risk of maternal death (%)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.926, p=0.030\n", + "NLD-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.926, p=0.031\n", + "NLD-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.940, p=0.076\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=0.946, p=0.110\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.896, p=0.005\n", + "NLD-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.863, p=0.001\n", + "NLD-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.847, p=0.000\n", + "NLD-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.844, p=0.000\n", + "NLD-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.962, p=0.309\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.905, p=0.008\n", + "NLD-Low-birthweight babies (% of births)\n", + "Statistical=0.883, p=0.002\n", + "NLD-Lower secondary school starting age (years)\n", + "Statistical=0.928, p=0.034\n", + "NLD-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.928, p=0.035\n", + "NLD-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.922, p=0.023\n", + "NLD-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.903, p=0.007\n", + "NLD-Marine protected areas (% of territorial waters)\n", + "Statistical=0.893, p=0.004\n", + "NLD-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.896, p=0.005\n", + "NLD-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.914, p=0.014\n", + "NLD-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.898, p=0.005\n", + "NLD-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.908, p=0.010\n", + "NLD-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.861, p=0.001\n", + "NLD-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.845, p=0.000\n", + "NLD-Merchandise exports (current US$)\n", + "Statistical=0.927, p=0.033\n", + "NLD-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.914, p=0.014\n", + "NLD-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.875, p=0.001\n", + "NLD-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.841, p=0.000\n", + "NLD-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.946, p=0.110\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.947, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.954, p=0.186\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.929, p=0.036\n", + "NLD-Merchandise imports (current US$)\n", + "Statistical=0.838, p=0.000\n", + "NLD-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.768, p=0.000\n", + "NLD-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.909, p=0.011\n", + "NLD-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.908, p=0.010\n", + "NLD-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.862, p=0.001\n", + "NLD-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.842, p=0.000\n", + "NLD-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.819, p=0.000\n", + "NLD-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.843, p=0.000\n", + "NLD-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.914, p=0.014\n", + "NLD-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.857, p=0.001\n", + "NLD-Merchandise trade (% of GDP)\n", + "Statistical=0.955, p=0.203\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Methane emissions (% change from 1990)\n", + "Statistical=0.946, p=0.109\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.946, p=0.109\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.932, p=0.045\n", + "NLD-Military expenditure (% of GDP)\n", + "Statistical=0.870, p=0.001\n", + "NLD-Military expenditure (% of general government expenditure)\n", + "Statistical=0.828, p=0.000\n", + "NLD-Military expenditure (current USD)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Mineral rents (% of GDP)\n", + "Statistical=0.906, p=0.009\n", + "NLD-Mobile cellular subscriptions\n", + "Statistical=0.922, p=0.024\n", + "NLD-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.890, p=0.004\n", + "NLD-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Natural gas rents (% of GDP)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.925, p=0.029\n", + "NLD-Net capital account (BoP, current US$)\n", + "Statistical=0.852, p=0.000\n", + "NLD-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.898, p=0.006\n", + "NLD-Net financial account (BoP, current US$)\n", + "Statistical=0.983, p=0.872\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Net migration\n", + "Statistical=0.865, p=0.001\n", + "NLD-Net primary income (BoP, current US$)\n", + "Statistical=0.865, p=0.001\n", + "NLD-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.927, p=0.032\n", + "NLD-Net secondary income (BoP, current US$)\n", + "Statistical=0.854, p=0.001\n", + "NLD-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Net trade in goods (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Net trade in goods and services (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-New businesses registered (number)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.788, p=0.000\n", + "NLD-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.781, p=0.000\n", + "NLD-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.958, p=0.238\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Number of deaths ages 10-14 years\n", + "Statistical=0.972, p=0.548\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Number of deaths ages 15-19 years\n", + "Statistical=0.907, p=0.010\n", + "NLD-Number of deaths ages 20-24 years\n", + "Statistical=0.960, p=0.268\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Number of deaths ages 5-9 years\n", + "Statistical=0.978, p=0.743\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Number of infant deaths\n", + "Statistical=0.957, p=0.228\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Number of maternal deaths\n", + "Statistical=0.923, p=0.024\n", + "NLD-Number of neonatal deaths\n", + "Statistical=0.952, p=0.162\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Number of under-five deaths\n", + "Statistical=0.931, p=0.042\n", + "NLD-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.961, p=0.291\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.952, p=0.163\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Oil rents (% of GDP)\n", + "Statistical=0.900, p=0.006\n", + "NLD-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.906, p=0.009\n", + "NLD-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.890, p=0.003\n", + "NLD-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.946, p=0.109\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.928, p=0.035\n", + "NLD-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.921, p=0.022\n", + "NLD-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.921, p=0.022\n", + "NLD-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-People using at least basic drinking water services (% of population)\n", + "Statistical=0.857, p=0.001\n", + "NLD-People using at least basic sanitation services (% of population)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-People using safely managed sanitation services (% of population)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Permanent cropland (% of land area)\n", + "Statistical=0.970, p=0.507\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Physicians (per 1,000 people)\n", + "Statistical=0.893, p=0.004\n", + "NLD-Population ages 0-14 (% of total population)\n", + "Statistical=0.893, p=0.004\n", + "NLD-Population ages 15-64 (% of total population)\n", + "Statistical=0.929, p=0.036\n", + "NLD-Population ages 65 and above (% of total population)\n", + "Statistical=0.861, p=0.001\n", + "NLD-Population density (people per sq. km of land area)\n", + "Statistical=0.965, p=0.378\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Population growth (annual %)\n", + "Statistical=0.893, p=0.004\n", + "NLD-Population in largest city\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Population in the largest city (% of urban population)\n", + "Statistical=0.901, p=0.006\n", + "NLD-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.890, p=0.004\n", + "NLD-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.907, p=0.010\n", + "NLD-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.921, p=0.022\n", + "NLD-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.926, p=0.031\n", + "NLD-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.926, p=0.031\n", + "NLD-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.852, p=0.000\n", + "NLD-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.983, p=0.891\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.893, p=0.004\n", + "NLD-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.893, p=0.004\n", + "NLD-Prevalence of undernourishment (% of population)\n", + "Statistical=0.931, p=0.042\n", + "NLD-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.979, p=0.778\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Primary income payments (BoP, current US$)\n", + "Statistical=0.844, p=0.000\n", + "NLD-Primary income receipts (BoP, current US$)\n", + "Statistical=0.893, p=0.004\n", + "NLD-Primary school starting age (years)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Private credit bureau coverage (% of adults)\n", + "Statistical=0.836, p=0.000\n", + "NLD-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.926, p=0.031\n", + "NLD-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.918, p=0.019\n", + "NLD-Procedures to build a warehouse (number)\n", + "Statistical=0.973, p=0.578\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Procedures to register property (number)\n", + "Statistical=0.891, p=0.004\n", + "NLD-Profit tax (% of commercial profits)\n", + "Statistical=0.891, p=0.004\n", + "NLD-Progression to secondary school (%)\n", + "Statistical=0.917, p=0.018\n", + "NLD-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.841, p=0.000\n", + "NLD-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.959, p=0.260\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.850, p=0.000\n", + "NLD-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.861, p=0.001\n", + "NLD-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.905, p=0.008\n", + "NLD-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Public credit registry coverage (% of adults)\n", + "Statistical=0.842, p=0.000\n", + "NLD-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.859, p=0.001\n", + "NLD-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.862, p=0.001\n", + "NLD-Rail lines (total route-km)\n", + "Statistical=0.968, p=0.457\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.887, p=0.003\n", + "NLD-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Refugee population by country or territory of asylum\n", + "Statistical=0.965, p=0.378\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Refugee population by country or territory of origin\n", + "Statistical=0.975, p=0.651\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.949, p=0.132\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.949, p=0.132\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.955, p=0.201\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Research and development expenditure (% of GDP)\n", + "Statistical=0.907, p=0.009\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NLD-Researchers in R&D (per million people)\n", + "Statistical=0.919, p=0.020\n", + "NLD-Reserves and related items (BoP, current US$)\n", + "Statistical=0.898, p=0.006\n", + "NLD-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.947, p=0.120\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Rural land area (sq. km)\n", + "Statistical=0.876, p=0.002\n", + "NLD-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.980, p=0.797\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.976, p=0.682\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Rural population\n", + "Statistical=0.934, p=0.050\n", + "NLD-Rural population (% of total population)\n", + "Statistical=0.934, p=0.050\n", + "NLD-Rural population growth (annual %)\n", + "Statistical=0.950, p=0.141\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.905, p=0.008\n", + "NLD-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Scientific and technical journal articles\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Secondary income receipts (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Secure Internet servers\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Secure Internet servers (per 1 million people)\n", + "Statistical=0.903, p=0.007\n", + "NLD-Service exports (BoP, current US$)\n", + "Statistical=0.903, p=0.007\n", + "NLD-Service imports (BoP, current US$)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Sex ratio at birth (male births per female births)\n", + "Statistical=0.860, p=0.001\n", + "NLD-Social contributions (% of revenue)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.906, p=0.009\n", + "NLD-Start-up procedures to register a business (number)\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.958, p=0.246\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.893, p=0.004\n", + "NLD-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.928, p=0.035\n", + "NLD-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.928, p=0.035\n", + "NLD-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.852, p=0.000\n", + "NLD-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.948, p=0.125\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.732, p=0.000\n", + "NLD-Surface area (sq. km)\n", + "Statistical=0.704, p=0.000\n", + "NLD-Tax payments (number)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Tax revenue (% of GDP)\n", + "Statistical=0.960, p=0.268\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Taxes less subsidies on products (current US$)\n", + "Statistical=0.795, p=0.000\n", + "NLD-Taxes on goods and services (% of revenue)\n", + "Statistical=0.795, p=0.000\n", + "NLD-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.920, p=0.020\n", + "NLD-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.873, p=0.001\n", + "NLD-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.773, p=0.000\n", + "NLD-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.973, p=0.580\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Time required to build a warehouse (days)\n", + "Statistical=0.795, p=0.000\n", + "NLD-Time required to enforce a contract (days)\n", + "Statistical=0.928, p=0.035\n", + "NLD-Time required to get electricity (days)\n", + "Statistical=0.877, p=0.002\n", + "NLD-Time required to register property (days)\n", + "Statistical=0.920, p=0.020\n", + "NLD-Time required to start a business (days)\n", + "Statistical=0.647, p=0.000\n", + "NLD-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.657, p=0.000\n", + "NLD-Time to obtain an electrical connection (days)\n", + "Statistical=0.675, p=0.000\n", + "NLD-Time to prepare and pay taxes (hours)\n", + "Statistical=0.408, p=0.000\n", + "NLD-Time to resolve insolvency (years)\n", + "Statistical=0.692, p=0.000\n", + "NLD-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.767, p=0.000\n", + "NLD-Total fisheries production (metric tons)\n", + "Statistical=0.406, p=0.000\n", + "NLD-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.550, p=0.000\n", + "NLD-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.681, p=0.000\n", + "NLD-Total natural resources rents (% of GDP)\n", + "Statistical=0.805, p=0.000\n", + "NLD-Total reserves (includes gold, current US$)\n", + "Statistical=0.813, p=0.000\n", + "NLD-Total reserves in months of imports\n", + "Statistical=0.818, p=0.000\n", + "NLD-Total reserves minus gold (current US$)\n", + "Statistical=0.892, p=0.004\n", + "NLD-Total tax and contribution rate (% of profit)\n", + "Statistical=0.769, p=0.000\n", + "NLD-Trade (% of GDP)\n", + "Statistical=0.576, p=0.000\n", + "NLD-Trade in services (% of GDP)\n", + "Statistical=0.779, p=0.000\n", + "NLD-Transport services (% of commercial service exports)\n", + "Statistical=0.843, p=0.000\n", + "NLD-Transport services (% of commercial service imports)\n", + "Statistical=0.820, p=0.000\n", + "NLD-Transport services (% of service exports, BoP)\n", + "Statistical=0.843, p=0.000\n", + "NLD-Transport services (% of service imports, BoP)\n", + "Statistical=0.929, p=0.038\n", + "NLD-Travel services (% of commercial service exports)\n", + "Statistical=0.857, p=0.001\n", + "NLD-Travel services (% of commercial service imports)\n", + "Statistical=0.982, p=0.854\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Travel services (% of service exports, BoP)\n", + "Statistical=0.945, p=0.107\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Travel services (% of service imports, BoP)\n", + "Statistical=0.945, p=0.107\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.933, p=0.047\n", + "NLD-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.866, p=0.001\n", + "NLD-UHC service coverage index\n", + "Statistical=0.824, p=0.000\n", + "NLD-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.887, p=0.003\n", + "NLD-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.970, p=0.488\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Urban land area (sq. km)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.687, p=0.000\n", + "NLD-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.874, p=0.001\n", + "NLD-Urban population\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Urban population (% of total population)\n", + "Statistical=0.908, p=0.010\n", + "NLD-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=0.783, p=0.000\n", + "NLD-GDP (current US$)+2\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-GDP (current US$)+3\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-GDP (current US$)+5\n", + "Statistical=0.945, p=0.103\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-GDP (current US$)+8\n", + "Statistical=0.951, p=0.155\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-GDP (current US$)+13\n", + "Statistical=0.919, p=0.020\n", + "NLD-GDP (current US$)+21\n", + "Statistical=0.919, p=0.020\n", + "NLD-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.898, p=0.006\n", + "NLD-Deposit interest rate (%)\n", + "Statistical=0.906, p=0.009\n", + "NLD-Other taxes (% of revenue)\n", + "Statistical=0.902, p=0.007\n", + "NLD-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.975, p=0.647\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Taxes on international trade (% of revenue)\n", + "Statistical=0.975, p=0.647\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.985, p=0.929\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Broad money (% of GDP)\n", + "Statistical=0.910, p=0.011\n", + "NLD-Broad money growth (annual %)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Broad money to total reserves ratio\n", + "Statistical=0.908, p=0.010\n", + "NLD-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.954, p=0.183\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.913, p=0.014\n", + "NLD-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.912, p=0.013\n", + "NLD-External health expenditure (% of current health expenditure)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-External health expenditure per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.895, p=0.005\n", + "NLD-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.900, p=0.006\n", + "NLD-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.877, p=0.002\n", + "NLD-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "NLD-People practicing open defecation (% of population)\n", + "Statistical=0.886, p=0.003\n", + "NLD-Taxes on exports (% of tax revenue)\n", + "Statistical=0.898, p=0.005\n", + "NLD-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.924, p=0.026\n", + "NLD-Country\n", + "Statistical=0.917, p=0.018\n", + "NLD-Year\n", + "Statistical=0.872, p=0.001\n", + "NLD-Continent\n", + "Statistical=0.890, p=0.003\n", + "IRQ-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Adjusted net national income (current US$)\n", + "Statistical=0.800, p=0.000\n", + "IRQ-Adjusted net national income per capita (current US$)\n", + "Statistical=0.811, p=0.000\n", + "IRQ-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.784, p=0.000\n", + "IRQ-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.823, p=0.000\n", + "IRQ-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.828, p=0.000\n", + "IRQ-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.769, p=0.000\n", + "IRQ-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.531, p=0.000\n", + "IRQ-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.524, p=0.000\n", + "IRQ-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.545, p=0.000\n", + "IRQ-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.525, p=0.000\n", + "IRQ-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.559, p=0.000\n", + "IRQ-Age dependency ratio (% of working-age population)\n", + "Statistical=0.562, p=0.000\n", + "IRQ-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.551, p=0.000\n", + "IRQ-Agricultural land (% of land area)\n", + "Statistical=0.549, p=0.000\n", + "IRQ-Agricultural land (sq. km)\n", + "Statistical=0.572, p=0.000\n", + "IRQ-Agricultural methane emissions (% of total)\n", + "Statistical=0.680, p=0.000\n", + "IRQ-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.697, p=0.000\n", + "IRQ-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.665, p=0.000\n", + "IRQ-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.746, p=0.000\n", + "IRQ-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.734, p=0.000\n", + "IRQ-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.748, p=0.000\n", + "IRQ-Aquaculture production (metric tons)\n", + "Statistical=0.743, p=0.000\n", + "IRQ-Arable land (% of land area)\n", + "Statistical=0.777, p=0.000\n", + "IRQ-Arable land (hectares per person)\n", + "Statistical=0.851, p=0.000\n", + "IRQ-Arable land (hectares)\n", + "Statistical=0.863, p=0.001\n", + "IRQ-Armed forces personnel (% of total labor force)\n", + "Statistical=0.852, p=0.000\n", + "IRQ-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.865, p=0.001\n", + "IRQ-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.980, p=0.810\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.842, p=0.000\n", + "IRQ-Average precipitation in depth (mm per year)\n", + "Statistical=0.981, p=0.830\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Average time to clear exports through customs (days)\n", + "Statistical=0.912, p=0.013\n", + "IRQ-Births attended by skilled health staff (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.857, p=0.001\n", + "IRQ-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.857, p=0.001\n", + "IRQ-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.744, p=0.000\n", + "IRQ-CO2 emissions (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-CO2 emissions (metric tons per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.857, p=0.001\n", + "IRQ-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.796, p=0.000\n", + "IRQ-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.715, p=0.000\n", + "IRQ-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.778, p=0.000\n", + "IRQ-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.789, p=0.000\n", + "IRQ-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.785, p=0.000\n", + "IRQ-Capture fisheries production (metric tons)\n", + "Statistical=0.793, p=0.000\n", + "IRQ-Cereal production (metric tons)\n", + "Statistical=0.961, p=0.286\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Cereal yield (kg per hectare)\n", + "Statistical=0.962, p=0.306\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Changes in inventories (current US$)\n", + "Statistical=0.963, p=0.335\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Chemicals (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Children out of school (% of primary school age)\n", + "Statistical=0.956, p=0.219\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Coal rents (% of GDP)\n", + "Statistical=0.961, p=0.296\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.673, p=0.000\n", + "IRQ-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.533, p=0.000\n", + "IRQ-Commercial service exports (current US$)\n", + "Statistical=0.784, p=0.000\n", + "IRQ-Commercial service imports (current US$)\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Completeness of birth registration (%)\n", + "Statistical=0.820, p=0.000\n", + "IRQ-Consumer price index (2010 = 100)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.816, p=0.000\n", + "IRQ-Crop production index (2014-2016 = 100)\n", + "Statistical=0.750, p=0.000\n", + "IRQ-Current account balance (% of GDP)\n", + "Statistical=0.932, p=0.046\n", + "IRQ-Current account balance (BoP, current US$)\n", + "Statistical=0.987, p=0.963\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Current health expenditure (% of GDP)\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Current health expenditure per capita (current US$)\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.928, p=0.034\n", + "IRQ-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.927, p=0.033\n", + "IRQ-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.974, p=0.618\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.648, p=0.000\n", + "IRQ-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.834, p=0.000\n", + "IRQ-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.837, p=0.000\n", + "IRQ-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.907, p=0.010\n", + "IRQ-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.907, p=0.010\n", + "IRQ-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.907, p=0.010\n", + "IRQ-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.916, p=0.016\n", + "IRQ-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.916, p=0.016\n", + "IRQ-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.867, p=0.001\n", + "IRQ-Electric power consumption (kWh per capita)\n", + "Statistical=0.960, p=0.272\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.851, p=0.000\n", + "IRQ-Electricity production from coal sources (% of total)\n", + "Statistical=0.960, p=0.279\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.876, p=0.002\n", + "IRQ-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Electricity production from nuclear sources (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Electricity production from oil sources (% of total)\n", + "Statistical=0.983, p=0.871\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.695, p=0.000\n", + "IRQ-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Energy related methane emissions (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Energy use (kg of oil equivalent per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.926, p=0.031\n", + "IRQ-Export unit value index (2000 = 100)\n", + "Statistical=0.865, p=0.001\n", + "IRQ-Export value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Export volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Exports of goods and services (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.882, p=0.002\n", + "IRQ-Exports of goods and services (current US$)\n", + "Statistical=0.730, p=0.000\n", + "IRQ-External balance on goods and services (% of GDP)\n", + "Statistical=0.664, p=0.000\n", + "IRQ-External balance on goods and services (current US$)\n", + "Statistical=0.817, p=0.000\n", + "IRQ-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.914, p=0.014\n", + "IRQ-Final consumption expenditure (% of GDP)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Final consumption expenditure (current US$)\n", + "Statistical=0.747, p=0.000\n", + "IRQ-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.879, p=0.002\n", + "IRQ-Firms offering formal training (% of firms)\n", + "Statistical=0.894, p=0.004\n", + "IRQ-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.912, p=0.013\n", + "IRQ-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.885, p=0.003\n", + "IRQ-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.856, p=0.001\n", + "IRQ-Fixed broadband subscriptions\n", + "Statistical=0.954, p=0.182\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.896, p=0.005\n", + "IRQ-Fixed telephone subscriptions\n", + "Statistical=0.898, p=0.005\n", + "IRQ-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Food exports (% of merchandise exports)\n", + "Statistical=0.884, p=0.002\n", + "IRQ-Food imports (% of merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Food production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Forest area (% of land area)\n", + "Statistical=0.906, p=0.009\n", + "IRQ-Forest area (sq. km)\n", + "Statistical=0.818, p=0.000\n", + "IRQ-Forest rents (% of GDP)\n", + "Statistical=0.978, p=0.734\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.802, p=0.000\n", + "IRQ-Fuel exports (% of merchandise exports)\n", + "Statistical=0.828, p=0.000\n", + "IRQ-Fuel imports (% of merchandise imports)\n", + "Statistical=0.735, p=0.000\n", + "IRQ-GDP (current US$)\n", + "Statistical=0.943, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-GDP deflator (base year varies by country)\n", + "Statistical=0.906, p=0.009\n", + "IRQ-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.951, p=0.154\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-GDP growth (annual %)\n", + "Statistical=0.921, p=0.022\n", + "IRQ-GDP per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.928, p=0.035\n", + "IRQ-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.683, p=0.000\n", + "IRQ-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.701, p=0.000\n", + "IRQ-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.665, p=0.000\n", + "IRQ-GNI (current US$)\n", + "Statistical=0.726, p=0.000\n", + "IRQ-GNI growth (annual %)\n", + "Statistical=0.726, p=0.000\n", + "IRQ-GNI per capita growth (annual %)\n", + "Statistical=0.682, p=0.000\n", + "IRQ-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.817, p=0.000\n", + "IRQ-General government final consumption expenditure (current US$)\n", + "Statistical=0.799, p=0.000\n", + "IRQ-Gini index\n", + "Statistical=0.833, p=0.000\n", + "IRQ-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Goods imports (BoP, current US$)\n", + "Statistical=0.917, p=0.017\n", + "IRQ-Grants and other revenue (% of revenue)\n", + "Statistical=0.707, p=0.000\n", + "IRQ-Gross capital formation (% of GDP)\n", + "Statistical=0.760, p=0.000\n", + "IRQ-Gross capital formation (current US$)\n", + "Statistical=0.765, p=0.000\n", + "IRQ-Gross domestic savings (% of GDP)\n", + "Statistical=0.782, p=0.000\n", + "IRQ-Gross domestic savings (current US$)\n", + "Statistical=0.747, p=0.000\n", + "IRQ-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.708, p=0.000\n", + "IRQ-Gross fixed capital formation (current US$)\n", + "Statistical=0.618, p=0.000\n", + "IRQ-Gross national expenditure (% of GDP)\n", + "Statistical=0.618, p=0.000\n", + "IRQ-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.699, p=0.000\n", + "IRQ-Gross savings (% of GDP)\n", + "Statistical=0.754, p=0.000\n", + "IRQ-Gross savings (current US$)\n", + "Statistical=0.833, p=0.000\n", + "IRQ-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.503, p=0.000\n", + "IRQ-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.776, p=0.000\n", + "IRQ-High-technology exports (% of manufactured exports)\n", + "Statistical=0.707, p=0.000\n", + "IRQ-High-technology exports (current US$)\n", + "Statistical=0.915, p=0.015\n", + "IRQ-Hospital beds (per 1,000 people)\n", + "Statistical=0.892, p=0.004\n", + "IRQ-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.924, p=0.026\n", + "IRQ-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.682, p=0.000\n", + "IRQ-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.682, p=0.000\n", + "IRQ-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.682, p=0.000\n", + "IRQ-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.966, p=0.389\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.782, p=0.000\n", + "IRQ-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.734, p=0.000\n", + "IRQ-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-ICT goods exports (% of total goods exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-ICT goods imports (% total goods imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.771, p=0.000\n", + "IRQ-ICT service exports (BoP, current US$)\n", + "Statistical=0.806, p=0.000\n", + "IRQ-Import unit value index (2000 = 100)\n", + "Statistical=0.817, p=0.000\n", + "IRQ-Import value index (2000 = 100)\n", + "Statistical=0.587, p=0.000\n", + "IRQ-Import volume index (2000 = 100)\n", + "Statistical=0.513, p=0.000\n", + "IRQ-Imports of goods and services (% of GDP)\n", + "Statistical=0.817, p=0.000\n", + "IRQ-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.933, p=0.048\n", + "IRQ-Imports of goods and services (current US$)\n", + "Statistical=0.784, p=0.000\n", + "IRQ-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "IRQ-Income share held by highest 10%\n", + "Statistical=0.672, p=0.000\n", + "IRQ-Income share held by highest 20%\n", + "Statistical=0.928, p=0.034\n", + "IRQ-Income share held by lowest 10%\n", + "Statistical=0.768, p=0.000\n", + "IRQ-Income share held by lowest 20%\n", + "Statistical=0.767, p=0.000\n", + "IRQ-Income share held by second 20%\n", + "Statistical=0.906, p=0.009\n", + "IRQ-Income share held by third 20%\n", + "Statistical=0.856, p=0.001\n", + "IRQ-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.791, p=0.000\n", + "IRQ-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.792, p=0.000\n", + "IRQ-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.830, p=0.000\n", + "IRQ-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.851, p=0.000\n", + "IRQ-Individuals using the Internet (% of population)\n", + "Statistical=0.676, p=0.000\n", + "IRQ-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.669, p=0.000\n", + "IRQ-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.447, p=0.000\n", + "IRQ-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Intentional homicides (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Interest payments (% of revenue)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-International migrant stock (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Labor tax and contributions (% of commercial profits)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Land area (sq. km)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Land under cereal production (hectares)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.786, p=0.000\n", + "IRQ-Lifetime risk of maternal death (%)\n", + "Statistical=0.769, p=0.000\n", + "IRQ-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.754, p=0.000\n", + "IRQ-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.955, p=0.201\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.838, p=0.000\n", + "IRQ-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.769, p=0.000\n", + "IRQ-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.906, p=0.009\n", + "IRQ-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.825, p=0.000\n", + "IRQ-Low-birthweight babies (% of births)\n", + "Statistical=0.795, p=0.000\n", + "IRQ-Lower secondary school starting age (years)\n", + "Statistical=0.911, p=0.012\n", + "IRQ-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.915, p=0.016\n", + "IRQ-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.912, p=0.013\n", + "IRQ-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.901, p=0.006\n", + "IRQ-Marine protected areas (% of territorial waters)\n", + "Statistical=0.904, p=0.008\n", + "IRQ-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.905, p=0.008\n", + "IRQ-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.901, p=0.007\n", + "IRQ-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.910, p=0.011\n", + "IRQ-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.901, p=0.007\n", + "IRQ-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.849, p=0.000\n", + "IRQ-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.575, p=0.000\n", + "IRQ-Merchandise exports (current US$)\n", + "Statistical=0.885, p=0.003\n", + "IRQ-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.665, p=0.000\n", + "IRQ-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.927, p=0.033\n", + "IRQ-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.815, p=0.000\n", + "IRQ-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.868, p=0.001\n", + "IRQ-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.669, p=0.000\n", + "IRQ-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.920, p=0.021\n", + "IRQ-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.618, p=0.000\n", + "IRQ-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.916, p=0.016\n", + "IRQ-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.612, p=0.000\n", + "IRQ-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.901, p=0.007\n", + "IRQ-Merchandise imports (current US$)\n", + "Statistical=0.904, p=0.008\n", + "IRQ-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.873, p=0.001\n", + "IRQ-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.670, p=0.000\n", + "IRQ-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.819, p=0.000\n", + "IRQ-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.880, p=0.002\n", + "IRQ-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.931, p=0.041\n", + "IRQ-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.707, p=0.000\n", + "IRQ-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.910, p=0.011\n", + "IRQ-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.772, p=0.000\n", + "IRQ-Merchandise trade (% of GDP)\n", + "Statistical=0.742, p=0.000\n", + "IRQ-Methane emissions (% change from 1990)\n", + "Statistical=0.682, p=0.000\n", + "IRQ-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.682, p=0.000\n", + "IRQ-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.893, p=0.004\n", + "IRQ-Military expenditure (% of GDP)\n", + "Statistical=0.897, p=0.005\n", + "IRQ-Military expenditure (% of general government expenditure)\n", + "Statistical=0.776, p=0.000\n", + "IRQ-Military expenditure (current USD)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Mineral rents (% of GDP)\n", + "Statistical=0.648, p=0.000\n", + "IRQ-Mobile cellular subscriptions\n", + "Statistical=0.865, p=0.001\n", + "IRQ-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.863, p=0.001\n", + "IRQ-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Natural gas rents (% of GDP)\n", + "Statistical=0.961, p=0.285\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.905, p=0.008\n", + "IRQ-Net capital account (BoP, current US$)\n", + "Statistical=0.966, p=0.402\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Net financial account (BoP, current US$)\n", + "Statistical=0.674, p=0.000\n", + "IRQ-Net migration\n", + "Statistical=0.725, p=0.000\n", + "IRQ-Net primary income (BoP, current US$)\n", + "Statistical=0.725, p=0.000\n", + "IRQ-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.827, p=0.000\n", + "IRQ-Net secondary income (BoP, current US$)\n", + "Statistical=0.831, p=0.000\n", + "IRQ-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Net trade in goods (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Net trade in goods and services (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-New businesses registered (number)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.658, p=0.000\n", + "IRQ-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.660, p=0.000\n", + "IRQ-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.864, p=0.001\n", + "IRQ-Number of deaths ages 10-14 years\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Number of deaths ages 15-19 years\n", + "Statistical=0.758, p=0.000\n", + "IRQ-Number of deaths ages 20-24 years\n", + "Statistical=0.790, p=0.000\n", + "IRQ-Number of deaths ages 5-9 years\n", + "Statistical=0.979, p=0.776\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Number of infant deaths\n", + "Statistical=0.830, p=0.000\n", + "IRQ-Number of maternal deaths\n", + "Statistical=0.766, p=0.000\n", + "IRQ-Number of neonatal deaths\n", + "Statistical=0.910, p=0.011\n", + "IRQ-Number of under-five deaths\n", + "Statistical=0.870, p=0.001\n", + "IRQ-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.821, p=0.000\n", + "IRQ-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.761, p=0.000\n", + "IRQ-Oil rents (% of GDP)\n", + "Statistical=0.869, p=0.001\n", + "IRQ-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.820, p=0.000\n", + "IRQ-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.990, p=0.988\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.815, p=0.000\n", + "IRQ-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.806, p=0.000\n", + "IRQ-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.838, p=0.000\n", + "IRQ-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.949, p=0.134\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.949, p=0.134\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.871, p=0.001\n", + "IRQ-People using at least basic drinking water services (% of population)\n", + "Statistical=0.874, p=0.001\n", + "IRQ-People using at least basic sanitation services (% of population)\n", + "Statistical=0.912, p=0.013\n", + "IRQ-People using safely managed sanitation services (% of population)\n", + "Statistical=0.912, p=0.013\n", + "IRQ-Permanent cropland (% of land area)\n", + "Statistical=0.931, p=0.041\n", + "IRQ-Physicians (per 1,000 people)\n", + "Statistical=0.924, p=0.027\n", + "IRQ-Population ages 0-14 (% of total population)\n", + "Statistical=0.924, p=0.027\n", + "IRQ-Population ages 15-64 (% of total population)\n", + "Statistical=0.905, p=0.008\n", + "IRQ-Population ages 65 and above (% of total population)\n", + "Statistical=0.923, p=0.026\n", + "IRQ-Population density (people per sq. km of land area)\n", + "Statistical=0.929, p=0.037\n", + "IRQ-Population growth (annual %)\n", + "Statistical=0.924, p=0.027\n", + "IRQ-Population in largest city\n", + "Statistical=0.943, p=0.093\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Population in the largest city (% of urban population)\n", + "Statistical=0.900, p=0.006\n", + "IRQ-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.783, p=0.000\n", + "IRQ-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.802, p=0.000\n", + "IRQ-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.949, p=0.134\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.871, p=0.001\n", + "IRQ-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.724, p=0.000\n", + "IRQ-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.724, p=0.000\n", + "IRQ-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.868, p=0.001\n", + "IRQ-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.871, p=0.001\n", + "IRQ-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.706, p=0.000\n", + "IRQ-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.737, p=0.000\n", + "IRQ-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.737, p=0.000\n", + "IRQ-Prevalence of undernourishment (% of population)\n", + "Statistical=0.903, p=0.008\n", + "IRQ-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.686, p=0.000\n", + "IRQ-Primary income payments (BoP, current US$)\n", + "Statistical=0.894, p=0.004\n", + "IRQ-Primary income receipts (BoP, current US$)\n", + "Statistical=0.737, p=0.000\n", + "IRQ-Primary school starting age (years)\n", + "Statistical=0.952, p=0.166\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Private credit bureau coverage (% of adults)\n", + "Statistical=0.862, p=0.001\n", + "IRQ-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.724, p=0.000\n", + "IRQ-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.950, p=0.145\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.868, p=0.001\n", + "IRQ-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.879, p=0.002\n", + "IRQ-Procedures to build a warehouse (number)\n", + "Statistical=0.829, p=0.000\n", + "IRQ-Procedures to register property (number)\n", + "Statistical=0.705, p=0.000\n", + "IRQ-Profit tax (% of commercial profits)\n", + "Statistical=0.705, p=0.000\n", + "IRQ-Progression to secondary school (%)\n", + "Statistical=0.862, p=0.001\n", + "IRQ-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.873, p=0.001\n", + "IRQ-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.697, p=0.000\n", + "IRQ-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.769, p=0.000\n", + "IRQ-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.791, p=0.000\n", + "IRQ-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Public credit registry coverage (% of adults)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Pump price for gasoline (US$ per liter)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Rail lines (total route-km)\n", + "Statistical=0.483, p=0.000\n", + "IRQ-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.368, p=0.000\n", + "IRQ-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.872, p=0.001\n", + "IRQ-Refugee population by country or territory of asylum\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Refugee population by country or territory of origin\n", + "Statistical=0.725, p=0.000\n", + "IRQ-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.728, p=0.000\n", + "IRQ-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.728, p=0.000\n", + "IRQ-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.880, p=0.002\n", + "IRQ-Research and development expenditure (% of GDP)\n", + "Statistical=0.880, p=0.002\n", + "IRQ-Researchers in R&D (per million people)\n", + "Statistical=0.708, p=0.000\n", + "IRQ-Reserves and related items (BoP, current US$)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.875, p=0.002\n", + "IRQ-Rural land area (sq. km)\n", + "Statistical=0.887, p=0.003\n", + "IRQ-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.900, p=0.006\n", + "IRQ-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.725, p=0.000\n", + "IRQ-Rural population\n", + "Statistical=0.669, p=0.000\n", + "IRQ-Rural population (% of total population)\n", + "Statistical=0.669, p=0.000\n", + "IRQ-Rural population growth (annual %)\n", + "Statistical=0.781, p=0.000\n", + "IRQ-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.795, p=0.000\n", + "IRQ-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.701, p=0.000\n", + "IRQ-Scientific and technical journal articles\n", + "Statistical=0.647, p=0.000\n", + "IRQ-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.641, p=0.000\n", + "IRQ-Secure Internet servers\n", + "Statistical=0.953, p=0.170\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Secure Internet servers (per 1 million people)\n", + "Statistical=0.734, p=0.000\n", + "IRQ-Service exports (BoP, current US$)\n", + "Statistical=0.735, p=0.000\n", + "IRQ-Service imports (BoP, current US$)\n", + "Statistical=0.849, p=0.000\n", + "IRQ-Sex ratio at birth (male births per female births)\n", + "Statistical=0.846, p=0.000\n", + "IRQ-Social contributions (% of revenue)\n", + "Statistical=0.710, p=0.000\n", + "IRQ-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.677, p=0.000\n", + "IRQ-Start-up procedures to register a business (number)\n", + "Statistical=0.757, p=0.000\n", + "IRQ-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.732, p=0.000\n", + "IRQ-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.743, p=0.000\n", + "IRQ-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.949, p=0.134\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.949, p=0.134\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.871, p=0.001\n", + "IRQ-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.874, p=0.001\n", + "IRQ-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Suicide mortality rate (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Surface area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Tax payments (number)\n", + "Statistical=0.775, p=0.000\n", + "IRQ-Tax revenue (% of GDP)\n", + "Statistical=0.562, p=0.000\n", + "IRQ-Taxes less subsidies on products (current US$)\n", + "Statistical=0.700, p=0.000\n", + "IRQ-Taxes on goods and services (% of revenue)\n", + "Statistical=0.700, p=0.000\n", + "IRQ-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.809, p=0.000\n", + "IRQ-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.809, p=0.000\n", + "IRQ-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.903, p=0.008\n", + "IRQ-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Time required to build a warehouse (days)\n", + "Statistical=0.700, p=0.000\n", + "IRQ-Time required to enforce a contract (days)\n", + "Statistical=0.856, p=0.001\n", + "IRQ-Time required to get electricity (days)\n", + "Statistical=0.965, p=0.374\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Time required to register property (days)\n", + "Statistical=0.809, p=0.000\n", + "IRQ-Time required to start a business (days)\n", + "Statistical=0.365, p=0.000\n", + "IRQ-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.346, p=0.000\n", + "IRQ-Time to obtain an electrical connection (days)\n", + "Statistical=0.396, p=0.000\n", + "IRQ-Time to prepare and pay taxes (hours)\n", + "Statistical=0.429, p=0.000\n", + "IRQ-Time to resolve insolvency (years)\n", + "Statistical=0.403, p=0.000\n", + "IRQ-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.373, p=0.000\n", + "IRQ-Total fisheries production (metric tons)\n", + "Statistical=0.404, p=0.000\n", + "IRQ-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.422, p=0.000\n", + "IRQ-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.440, p=0.000\n", + "IRQ-Total natural resources rents (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Total reserves (includes gold, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Total reserves in months of imports\n", + "Statistical=0.763, p=0.000\n", + "IRQ-Total reserves minus gold (current US$)\n", + "Statistical=0.707, p=0.000\n", + "IRQ-Total tax and contribution rate (% of profit)\n", + "Statistical=0.984, p=0.898\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Trade (% of GDP)\n", + "Statistical=0.945, p=0.105\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Trade in services (% of GDP)\n", + "Statistical=0.983, p=0.869\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Transport services (% of commercial service exports)\n", + "Statistical=0.821, p=0.000\n", + "IRQ-Transport services (% of commercial service imports)\n", + "Statistical=0.892, p=0.004\n", + "IRQ-Transport services (% of service exports, BoP)\n", + "Statistical=0.856, p=0.001\n", + "IRQ-Transport services (% of service imports, BoP)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Travel services (% of commercial service exports)\n", + "Statistical=0.793, p=0.000\n", + "IRQ-Travel services (% of commercial service imports)\n", + "Statistical=0.753, p=0.000\n", + "IRQ-Travel services (% of service exports, BoP)\n", + "Statistical=0.757, p=0.000\n", + "IRQ-Travel services (% of service imports, BoP)\n", + "Statistical=0.757, p=0.000\n", + "IRQ-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.911, p=0.012\n", + "IRQ-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.916, p=0.016\n", + "IRQ-UHC service coverage index\n", + "Statistical=0.793, p=0.000\n", + "IRQ-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.761, p=0.000\n", + "IRQ-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.697, p=0.000\n", + "IRQ-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.697, p=0.000\n", + "IRQ-Urban land area (sq. km)\n", + "Statistical=0.697, p=0.000\n", + "IRQ-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.697, p=0.000\n", + "IRQ-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.697, p=0.000\n", + "IRQ-Urban population\n", + "Statistical=0.697, p=0.000\n", + "IRQ-Urban population (% of total population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Urban population growth (annual %)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-GDP (current US$)+1\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-GDP (current US$)+2\n", + "Statistical=0.442, p=0.000\n", + "IRQ-GDP (current US$)+3\n", + "Statistical=0.442, p=0.000\n", + "IRQ-GDP (current US$)+5\n", + "Statistical=0.975, p=0.640\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-GDP (current US$)+8\n", + "Statistical=0.963, p=0.323\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-GDP (current US$)+13\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-GDP (current US$)+21\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "IRQ-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.899, p=0.006\n", + "IRQ-Deposit interest rate (%)\n", + "Statistical=0.900, p=0.006\n", + "IRQ-Other taxes (% of revenue)\n", + "Statistical=0.851, p=0.000\n", + "IRQ-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.883, p=0.002\n", + "IRQ-Taxes on international trade (% of revenue)\n", + "Statistical=0.883, p=0.002\n", + "IRQ-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.917, p=0.017\n", + "IRQ-Broad money (% of GDP)\n", + "Statistical=0.851, p=0.000\n", + "IRQ-Broad money growth (annual %)\n", + "Statistical=0.755, p=0.000\n", + "IRQ-Broad money to total reserves ratio\n", + "Statistical=0.821, p=0.000\n", + "IRQ-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.708, p=0.000\n", + "IRQ-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.907, p=0.009\n", + "IRQ-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.474, p=0.000\n", + "IRQ-External health expenditure (% of current health expenditure)\n", + "Statistical=0.580, p=0.000\n", + "IRQ-External health expenditure per capita (current US$)\n", + "Statistical=0.547, p=0.000\n", + "IRQ-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.864, p=0.001\n", + "IRQ-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.826, p=0.000\n", + "IRQ-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.656, p=0.000\n", + "IRQ-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.692, p=0.000\n", + "IRQ-People practicing open defecation (% of population)\n", + "Statistical=0.770, p=0.000\n", + "IRQ-Taxes on exports (% of tax revenue)\n", + "Statistical=0.730, p=0.000\n", + "IRQ-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.865, p=0.001\n", + "IRQ-Country\n", + "Statistical=0.741, p=0.000\n", + "IRQ-Year\n", + "Statistical=0.769, p=0.000\n", + "IRQ-Continent\n", + "Statistical=0.812, p=0.000\n", + "QAT-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Adjusted savings: net national savings (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Age dependency ratio (% of working-age population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Agricultural land (% of land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Agricultural land (sq. km)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Agricultural methane emissions (% of total)\n", + "Statistical=0.891, p=0.004\n", + "QAT-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.766, p=0.000\n", + "QAT-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.909, p=0.011\n", + "QAT-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.416, p=0.000\n", + "QAT-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.801, p=0.000\n", + "QAT-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.437, p=0.000\n", + "QAT-Aquaculture production (metric tons)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Arable land (% of land area)\n", + "Statistical=0.876, p=0.002\n", + "QAT-Arable land (hectares per person)\n", + "Statistical=0.585, p=0.000\n", + "QAT-Arable land (hectares)\n", + "Statistical=0.747, p=0.000\n", + "QAT-Armed forces personnel (% of total labor force)\n", + "Statistical=0.585, p=0.000\n", + "QAT-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.747, p=0.000\n", + "QAT-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.877, p=0.002\n", + "QAT-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.850, p=0.000\n", + "QAT-Average precipitation in depth (mm per year)\n", + "Statistical=0.918, p=0.019\n", + "QAT-Average time to clear exports through customs (days)\n", + "Statistical=0.786, p=0.000\n", + "QAT-Births attended by skilled health staff (% of total)\n", + "Statistical=0.927, p=0.033\n", + "QAT-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.809, p=0.000\n", + "QAT-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.863, p=0.001\n", + "QAT-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.592, p=0.000\n", + "QAT-CO2 emissions (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-CO2 emissions (metric tons per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=0.865, p=0.001\n", + "QAT-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=0.877, p=0.002\n", + "QAT-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.587, p=0.000\n", + "QAT-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.683, p=0.000\n", + "QAT-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.844, p=0.000\n", + "QAT-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.834, p=0.000\n", + "QAT-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.851, p=0.000\n", + "QAT-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.954, p=0.191\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.875, p=0.002\n", + "QAT-Capture fisheries production (metric tons)\n", + "Statistical=0.970, p=0.491\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Cereal production (metric tons)\n", + "Statistical=0.805, p=0.000\n", + "QAT-Cereal yield (kg per hectare)\n", + "Statistical=0.912, p=0.013\n", + "QAT-Changes in inventories (current US$)\n", + "Statistical=0.801, p=0.000\n", + "QAT-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.621, p=0.000\n", + "QAT-Children out of school (% of primary school age)\n", + "Statistical=0.930, p=0.040\n", + "QAT-Coal rents (% of GDP)\n", + "Statistical=0.956, p=0.210\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.858, p=0.001\n", + "QAT-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.833, p=0.000\n", + "QAT-Commercial service exports (current US$)\n", + "Statistical=0.758, p=0.000\n", + "QAT-Commercial service imports (current US$)\n", + "Statistical=0.928, p=0.034\n", + "QAT-Completeness of birth registration (%)\n", + "Statistical=0.783, p=0.000\n", + "QAT-Consumer price index (2010 = 100)\n", + "Statistical=0.869, p=0.001\n", + "QAT-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.909, p=0.011\n", + "QAT-Crop production index (2014-2016 = 100)\n", + "Statistical=0.900, p=0.006\n", + "QAT-Current account balance (% of GDP)\n", + "Statistical=0.813, p=0.000\n", + "QAT-Current account balance (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Current health expenditure (% of GDP)\n", + "Statistical=0.741, p=0.000\n", + "QAT-Current health expenditure per capita (current US$)\n", + "Statistical=0.741, p=0.000\n", + "QAT-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.742, p=0.000\n", + "QAT-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.742, p=0.000\n", + "QAT-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.904, p=0.008\n", + "QAT-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.740, p=0.000\n", + "QAT-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.828, p=0.000\n", + "QAT-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.847, p=0.000\n", + "QAT-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.842, p=0.000\n", + "QAT-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.831, p=0.000\n", + "QAT-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.791, p=0.000\n", + "QAT-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.861, p=0.001\n", + "QAT-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.861, p=0.001\n", + "QAT-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Electric power consumption (kWh per capita)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.850, p=0.000\n", + "QAT-Electricity production from coal sources (% of total)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.848, p=0.000\n", + "QAT-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.587, p=0.000\n", + "QAT-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.861, p=0.001\n", + "QAT-Electricity production from oil sources (% of total)\n", + "Statistical=0.760, p=0.000\n", + "QAT-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.908, p=0.010\n", + "QAT-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.738, p=0.000\n", + "QAT-Energy related methane emissions (% of total)\n", + "Statistical=0.703, p=0.000\n", + "QAT-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.867, p=0.001\n", + "QAT-Export unit value index (2000 = 100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Export value index (2000 = 100)\n", + "Statistical=0.635, p=0.000\n", + "QAT-Export volume index (2000 = 100)\n", + "Statistical=0.699, p=0.000\n", + "QAT-Exports of goods and services (% of GDP)\n", + "Statistical=0.760, p=0.000\n", + "QAT-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.919, p=0.019\n", + "QAT-Exports of goods and services (current US$)\n", + "Statistical=0.792, p=0.000\n", + "QAT-External balance on goods and services (% of GDP)\n", + "Statistical=0.916, p=0.017\n", + "QAT-External balance on goods and services (current US$)\n", + "Statistical=0.954, p=0.183\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.478, p=0.000\n", + "QAT-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.912, p=0.013\n", + "QAT-Final consumption expenditure (% of GDP)\n", + "Statistical=0.912, p=0.013\n", + "QAT-Final consumption expenditure (current US$)\n", + "Statistical=0.835, p=0.000\n", + "QAT-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.862, p=0.001\n", + "QAT-Firms offering formal training (% of firms)\n", + "Statistical=0.910, p=0.012\n", + "QAT-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.957, p=0.224\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.927, p=0.032\n", + "QAT-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.861, p=0.001\n", + "QAT-Fixed broadband subscriptions\n", + "Statistical=0.931, p=0.043\n", + "QAT-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.902, p=0.007\n", + "QAT-Fixed telephone subscriptions\n", + "Statistical=0.932, p=0.044\n", + "QAT-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Food exports (% of merchandise exports)\n", + "Statistical=0.786, p=0.000\n", + "QAT-Food imports (% of merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Food production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Forest area (% of land area)\n", + "Statistical=0.831, p=0.000\n", + "QAT-Forest area (sq. km)\n", + "Statistical=0.888, p=0.003\n", + "QAT-Forest rents (% of GDP)\n", + "Statistical=0.897, p=0.005\n", + "QAT-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.858, p=0.001\n", + "QAT-Fuel exports (% of merchandise exports)\n", + "Statistical=0.853, p=0.000\n", + "QAT-Fuel imports (% of merchandise imports)\n", + "Statistical=0.916, p=0.016\n", + "QAT-GDP (current US$)\n", + "Statistical=0.898, p=0.005\n", + "QAT-GDP deflator (base year varies by country)\n", + "Statistical=0.855, p=0.001\n", + "QAT-GDP deflator: linked series (base year varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-GDP growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-GDP per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.898, p=0.006\n", + "QAT-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.886, p=0.003\n", + "QAT-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.746, p=0.000\n", + "QAT-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.885, p=0.003\n", + "QAT-GNI (current US$)\n", + "Statistical=0.852, p=0.000\n", + "QAT-GNI growth (annual %)\n", + "Statistical=0.848, p=0.000\n", + "QAT-GNI per capita growth (annual %)\n", + "Statistical=0.966, p=0.388\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.991, p=0.993\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-General government final consumption expenditure (current US$)\n", + "Statistical=0.977, p=0.693\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Gini index\n", + "Statistical=0.958, p=0.236\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Goods imports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Grants and other revenue (% of revenue)\n", + "Statistical=0.789, p=0.000\n", + "QAT-Gross capital formation (% of GDP)\n", + "Statistical=0.633, p=0.000\n", + "QAT-Gross capital formation (current US$)\n", + "Statistical=0.615, p=0.000\n", + "QAT-Gross domestic savings (% of GDP)\n", + "Statistical=0.595, p=0.000\n", + "QAT-Gross domestic savings (current US$)\n", + "Statistical=0.576, p=0.000\n", + "QAT-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.512, p=0.000\n", + "QAT-Gross savings (% of GDP)\n", + "Statistical=0.510, p=0.000\n", + "QAT-Gross savings (current US$)\n", + "Statistical=0.845, p=0.000\n", + "QAT-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.638, p=0.000\n", + "QAT-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.810, p=0.000\n", + "QAT-High-technology exports (% of manufactured exports)\n", + "Statistical=0.810, p=0.000\n", + "QAT-High-technology exports (current US$)\n", + "Statistical=0.688, p=0.000\n", + "QAT-Hospital beds (per 1,000 people)\n", + "Statistical=0.853, p=0.000\n", + "QAT-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.849, p=0.000\n", + "QAT-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.849, p=0.000\n", + "QAT-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.849, p=0.000\n", + "QAT-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.849, p=0.000\n", + "QAT-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.967, p=0.422\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.591, p=0.000\n", + "QAT-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.617, p=0.000\n", + "QAT-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-ICT goods exports (% of total goods exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-ICT goods imports (% total goods imports)\n", + "Statistical=0.528, p=0.000\n", + "QAT-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.896, p=0.005\n", + "QAT-ICT service exports (BoP, current US$)\n", + "Statistical=0.843, p=0.000\n", + "QAT-Import unit value index (2000 = 100)\n", + "Statistical=0.858, p=0.001\n", + "QAT-Import value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Import volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Imports of goods and services (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.844, p=0.000\n", + "QAT-Imports of goods and services (current US$)\n", + "Statistical=0.928, p=0.033\n", + "QAT-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=0.441, p=0.000\n", + "QAT-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "QAT-Income share held by highest 10%\n", + "Statistical=0.335, p=0.000\n", + "QAT-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Income share held by lowest 10%\n", + "Statistical=0.824, p=0.000\n", + "QAT-Income share held by lowest 20%\n", + "Statistical=0.824, p=0.000\n", + "QAT-Income share held by second 20%\n", + "Statistical=0.843, p=0.000\n", + "QAT-Income share held by third 20%\n", + "Statistical=0.748, p=0.000\n", + "QAT-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.833, p=0.000\n", + "QAT-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.867, p=0.001\n", + "QAT-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.888, p=0.003\n", + "QAT-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.748, p=0.000\n", + "QAT-Individuals using the Internet (% of population)\n", + "Statistical=0.841, p=0.000\n", + "QAT-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.908, p=0.010\n", + "QAT-Industry (including construction), value added (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.442, p=0.000\n", + "QAT-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.795, p=0.000\n", + "QAT-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.808, p=0.000\n", + "QAT-Intentional homicides (per 100,000 people)\n", + "Statistical=0.780, p=0.000\n", + "QAT-Interest payments (% of revenue)\n", + "Statistical=0.777, p=0.000\n", + "QAT-International migrant stock (% of population)\n", + "Statistical=0.775, p=0.000\n", + "QAT-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.776, p=0.000\n", + "QAT-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Labor tax and contributions (% of commercial profits)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Land area (sq. km)\n", + "Statistical=0.797, p=0.000\n", + "QAT-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.607, p=0.000\n", + "QAT-Land under cereal production (hectares)\n", + "Statistical=0.617, p=0.000\n", + "QAT-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.848, p=0.000\n", + "QAT-Lifetime risk of maternal death (%)\n", + "Statistical=0.928, p=0.035\n", + "QAT-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Livestock production index (2014-2016 = 100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.811, p=0.000\n", + "QAT-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.886, p=0.003\n", + "QAT-Low-birthweight babies (% of births)\n", + "Statistical=0.893, p=0.004\n", + "QAT-Lower secondary school starting age (years)\n", + "Statistical=0.866, p=0.001\n", + "QAT-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.758, p=0.000\n", + "QAT-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.860, p=0.001\n", + "QAT-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.856, p=0.001\n", + "QAT-Marine protected areas (% of territorial waters)\n", + "Statistical=0.883, p=0.002\n", + "QAT-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.866, p=0.001\n", + "QAT-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.855, p=0.001\n", + "QAT-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.884, p=0.003\n", + "QAT-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.867, p=0.001\n", + "QAT-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.804, p=0.000\n", + "QAT-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.806, p=0.000\n", + "QAT-Merchandise exports (current US$)\n", + "Statistical=0.972, p=0.561\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.796, p=0.000\n", + "QAT-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.840, p=0.000\n", + "QAT-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.756, p=0.000\n", + "QAT-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.951, p=0.153\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.667, p=0.000\n", + "QAT-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.750, p=0.000\n", + "QAT-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.891, p=0.004\n", + "QAT-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.761, p=0.000\n", + "QAT-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Merchandise imports (current US$)\n", + "Statistical=0.891, p=0.004\n", + "QAT-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.874, p=0.001\n", + "QAT-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.968, p=0.459\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.933, p=0.047\n", + "QAT-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.832, p=0.000\n", + "QAT-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.847, p=0.000\n", + "QAT-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.774, p=0.000\n", + "QAT-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.360, p=0.000\n", + "QAT-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.932, p=0.045\n", + "QAT-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.723, p=0.000\n", + "QAT-Merchandise trade (% of GDP)\n", + "Statistical=0.317, p=0.000\n", + "QAT-Methane emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.434, p=0.000\n", + "QAT-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.853, p=0.000\n", + "QAT-Military expenditure (% of GDP)\n", + "Statistical=0.853, p=0.000\n", + "QAT-Military expenditure (% of general government expenditure)\n", + "Statistical=0.732, p=0.000\n", + "QAT-Military expenditure (current USD)\n", + "Statistical=0.921, p=0.022\n", + "QAT-Mineral rents (% of GDP)\n", + "Statistical=0.311, p=0.000\n", + "QAT-Mobile cellular subscriptions\n", + "Statistical=0.822, p=0.000\n", + "QAT-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.822, p=0.000\n", + "QAT-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Natural gas rents (% of GDP)\n", + "Statistical=0.873, p=0.001\n", + "QAT-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.818, p=0.000\n", + "QAT-Net capital account (BoP, current US$)\n", + "Statistical=0.898, p=0.006\n", + "QAT-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.882, p=0.002\n", + "QAT-Net financial account (BoP, current US$)\n", + "Statistical=0.469, p=0.000\n", + "QAT-Net migration\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Net primary income (BoP, current US$)\n", + "Statistical=0.513, p=0.000\n", + "QAT-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.790, p=0.000\n", + "QAT-Net secondary income (BoP, current US$)\n", + "Statistical=0.790, p=0.000\n", + "QAT-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Net trade in goods (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Net trade in goods and services (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-New businesses registered (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.793, p=0.000\n", + "QAT-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.755, p=0.000\n", + "QAT-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.860, p=0.001\n", + "QAT-Number of deaths ages 10-14 years\n", + "Statistical=0.898, p=0.005\n", + "QAT-Number of deaths ages 15-19 years\n", + "Statistical=0.899, p=0.006\n", + "QAT-Number of deaths ages 20-24 years\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Number of deaths ages 5-9 years\n", + "Statistical=0.909, p=0.011\n", + "QAT-Number of infant deaths\n", + "Statistical=0.914, p=0.014\n", + "QAT-Number of maternal deaths\n", + "Statistical=0.613, p=0.000\n", + "QAT-Number of neonatal deaths\n", + "Statistical=0.943, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Number of under-five deaths\n", + "Statistical=0.951, p=0.159\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.831, p=0.000\n", + "QAT-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.783, p=0.000\n", + "QAT-Oil rents (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Ores and metals exports (% of merchandise exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.848, p=0.000\n", + "QAT-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.135, p=0.000\n", + "QAT-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.775, p=0.000\n", + "QAT-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.775, p=0.000\n", + "QAT-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.830, p=0.000\n", + "QAT-People using at least basic drinking water services (% of population)\n", + "Statistical=0.830, p=0.000\n", + "QAT-People using at least basic sanitation services (% of population)\n", + "Statistical=0.826, p=0.000\n", + "QAT-People using safely managed sanitation services (% of population)\n", + "Statistical=0.826, p=0.000\n", + "QAT-Permanent cropland (% of land area)\n", + "Statistical=0.826, p=0.000\n", + "QAT-Physicians (per 1,000 people)\n", + "Statistical=0.851, p=0.000\n", + "QAT-Population ages 0-14 (% of total population)\n", + "Statistical=0.851, p=0.000\n", + "QAT-Population ages 15-64 (% of total population)\n", + "Statistical=0.900, p=0.006\n", + "QAT-Population ages 65 and above (% of total population)\n", + "Statistical=0.900, p=0.006\n", + "QAT-Population density (people per sq. km of land area)\n", + "Statistical=0.866, p=0.001\n", + "QAT-Population growth (annual %)\n", + "Statistical=0.851, p=0.000\n", + "QAT-Population in largest city\n", + "Statistical=0.844, p=0.000\n", + "QAT-Population in the largest city (% of urban population)\n", + "Statistical=0.861, p=0.001\n", + "QAT-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.852, p=0.000\n", + "QAT-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.905, p=0.008\n", + "QAT-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.775, p=0.000\n", + "QAT-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.812, p=0.000\n", + "QAT-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.807, p=0.000\n", + "QAT-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Pregnant women receiving prenatal care (%)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.393, p=0.000\n", + "QAT-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.824, p=0.000\n", + "QAT-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.824, p=0.000\n", + "QAT-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.459, p=0.000\n", + "QAT-Prevalence of current tobacco use (% of adults)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.446, p=0.000\n", + "QAT-Prevalence of undernourishment (% of population)\n", + "Statistical=0.900, p=0.006\n", + "QAT-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.459, p=0.000\n", + "QAT-Primary income payments (BoP, current US$)\n", + "Statistical=0.812, p=0.000\n", + "QAT-Primary income receipts (BoP, current US$)\n", + "Statistical=0.446, p=0.000\n", + "QAT-Primary school starting age (years)\n", + "Statistical=0.799, p=0.000\n", + "QAT-Private credit bureau coverage (% of adults)\n", + "Statistical=0.785, p=0.000\n", + "QAT-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.393, p=0.000\n", + "QAT-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.808, p=0.000\n", + "QAT-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.802, p=0.000\n", + "QAT-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.875, p=0.002\n", + "QAT-Procedures to build a warehouse (number)\n", + "Statistical=0.410, p=0.000\n", + "QAT-Procedures to register property (number)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Profit tax (% of commercial profits)\n", + "Statistical=0.550, p=0.000\n", + "QAT-Progression to secondary school (%)\n", + "Statistical=0.781, p=0.000\n", + "QAT-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.781, p=0.000\n", + "QAT-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.684, p=0.000\n", + "QAT-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.645, p=0.000\n", + "QAT-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.964, p=0.349\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.879, p=0.002\n", + "QAT-Public credit registry coverage (% of adults)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Pump price for gasoline (US$ per liter)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Rail lines (total route-km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.806, p=0.000\n", + "QAT-Refugee population by country or territory of asylum\n", + "Statistical=0.962, p=0.309\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Refugee population by country or territory of origin\n", + "Statistical=0.384, p=0.000\n", + "QAT-Renewable electricity output (% of total electricity output)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.375, p=0.000\n", + "QAT-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.832, p=0.000\n", + "QAT-Research and development expenditure (% of GDP)\n", + "Statistical=0.832, p=0.000\n", + "QAT-Researchers in R&D (per million people)\n", + "Statistical=0.388, p=0.000\n", + "QAT-Reserves and related items (BoP, current US$)\n", + "Statistical=0.882, p=0.002\n", + "QAT-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.856, p=0.001\n", + "QAT-Rural land area (sq. km)\n", + "Statistical=0.856, p=0.001\n", + "QAT-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Rural population\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Rural population (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Rural population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.684, p=0.000\n", + "QAT-Scientific and technical journal articles\n", + "Statistical=0.764, p=0.000\n", + "QAT-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.702, p=0.000\n", + "QAT-Secure Internet servers\n", + "Statistical=0.921, p=0.022\n", + "QAT-Secure Internet servers (per 1 million people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Service exports (BoP, current US$)\n", + "Statistical=0.467, p=0.000\n", + "QAT-Service imports (BoP, current US$)\n", + "Statistical=0.815, p=0.000\n", + "QAT-Sex ratio at birth (male births per female births)\n", + "Statistical=0.815, p=0.000\n", + "QAT-Social contributions (% of revenue)\n", + "Statistical=0.542, p=0.000\n", + "QAT-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.593, p=0.000\n", + "QAT-Start-up procedures to register a business (number)\n", + "Statistical=0.601, p=0.000\n", + "QAT-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.701, p=0.000\n", + "QAT-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.701, p=0.000\n", + "QAT-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.562, p=0.000\n", + "QAT-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.562, p=0.000\n", + "QAT-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.732, p=0.000\n", + "QAT-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.732, p=0.000\n", + "QAT-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.196, p=0.000\n", + "QAT-Surface area (sq. km)\n", + "Statistical=0.181, p=0.000\n", + "QAT-Tax payments (number)\n", + "Statistical=0.835, p=0.000\n", + "QAT-Tax revenue (% of GDP)\n", + "Statistical=0.403, p=0.000\n", + "QAT-Taxes less subsidies on products (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Taxes on goods and services (% of revenue)\n", + "Statistical=0.479, p=0.000\n", + "QAT-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.805, p=0.000\n", + "QAT-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.805, p=0.000\n", + "QAT-Terrestrial protected areas (% of total land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Time required to build a warehouse (days)\n", + "Statistical=0.479, p=0.000\n", + "QAT-Time required to enforce a contract (days)\n", + "Statistical=0.802, p=0.000\n", + "QAT-Time required to get electricity (days)\n", + "Statistical=0.913, p=0.013\n", + "QAT-Time required to register property (days)\n", + "Statistical=0.798, p=0.000\n", + "QAT-Time required to start a business (days)\n", + "Statistical=0.611, p=0.000\n", + "QAT-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.383, p=0.000\n", + "QAT-Time to obtain an electrical connection (days)\n", + "Statistical=0.641, p=0.000\n", + "QAT-Time to prepare and pay taxes (hours)\n", + "Statistical=0.357, p=0.000\n", + "QAT-Time to resolve insolvency (years)\n", + "Statistical=0.538, p=0.000\n", + "QAT-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.552, p=0.000\n", + "QAT-Total fisheries production (metric tons)\n", + "Statistical=0.419, p=0.000\n", + "QAT-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.611, p=0.000\n", + "QAT-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.635, p=0.000\n", + "QAT-Total natural resources rents (% of GDP)\n", + "Statistical=0.786, p=0.000\n", + "QAT-Total reserves (includes gold, current US$)\n", + "Statistical=0.885, p=0.003\n", + "QAT-Total reserves in months of imports\n", + "Statistical=0.631, p=0.000\n", + "QAT-Total reserves minus gold (current US$)\n", + "Statistical=0.632, p=0.000\n", + "QAT-Total tax and contribution rate (% of profit)\n", + "Statistical=0.920, p=0.021\n", + "QAT-Trade (% of GDP)\n", + "Statistical=0.914, p=0.014\n", + "QAT-Trade in services (% of GDP)\n", + "Statistical=0.852, p=0.000\n", + "QAT-Transport services (% of commercial service exports)\n", + "Statistical=0.808, p=0.000\n", + "QAT-Transport services (% of commercial service imports)\n", + "Statistical=0.804, p=0.000\n", + "QAT-Transport services (% of service exports, BoP)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Statistical=0.800, p=0.000\n", + "QAT-Transport services (% of service imports, BoP)\n", + "Statistical=0.967, p=0.424\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Travel services (% of commercial service exports)\n", + "Statistical=0.619, p=0.000\n", + "QAT-Travel services (% of commercial service imports)\n", + "Statistical=0.496, p=0.000\n", + "QAT-Travel services (% of service exports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Travel services (% of service imports, BoP)\n", + "Statistical=0.476, p=0.000\n", + "QAT-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.797, p=0.000\n", + "QAT-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.797, p=0.000\n", + "QAT-UHC service coverage index\n", + "Statistical=0.662, p=0.000\n", + "QAT-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.869, p=0.001\n", + "QAT-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Urban land area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Urban population\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Urban population (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-GDP (current US$)+2\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-GDP (current US$)+3\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-GDP (current US$)+5\n", + "Statistical=0.577, p=0.000\n", + "QAT-GDP (current US$)+8\n", + "Statistical=0.793, p=0.000\n", + "QAT-GDP (current US$)+13\n", + "Statistical=0.770, p=0.000\n", + "QAT-GDP (current US$)+21\n", + "Statistical=0.770, p=0.000\n", + "QAT-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.720, p=0.000\n", + "QAT-Deposit interest rate (%)\n", + "Statistical=0.720, p=0.000\n", + "QAT-Other taxes (% of revenue)\n", + "Statistical=0.763, p=0.000\n", + "QAT-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Taxes on international trade (% of revenue)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.983, p=0.880\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Broad money (% of GDP)\n", + "Statistical=0.627, p=0.000\n", + "QAT-Broad money growth (annual %)\n", + "Statistical=0.718, p=0.000\n", + "QAT-Broad money to total reserves ratio\n", + "Statistical=0.692, p=0.000\n", + "QAT-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.713, p=0.000\n", + "QAT-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.928, p=0.035\n", + "QAT-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-External health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-External health expenditure per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.953, p=0.171\n", + "Data is NORMAL ( H0 not denied )\n", + "QAT-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.788, p=0.000\n", + "QAT-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.629, p=0.000\n", + "QAT-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.620, p=0.000\n", + "QAT-People practicing open defecation (% of population)\n", + "Statistical=0.643, p=0.000\n", + "QAT-Taxes on exports (% of tax revenue)\n", + "Statistical=0.785, p=0.000\n", + "QAT-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.786, p=0.000\n", + "QAT-Country\n", + "Statistical=0.600, p=0.000\n", + "QAT-Year\n", + "Statistical=0.638, p=0.000\n", + "QAT-Continent\n", + "Statistical=0.618, p=0.000\n", + "ARE-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.615, p=0.000\n", + "ARE-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.620, p=0.000\n", + "ARE-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.612, p=0.000\n", + "ARE-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.614, p=0.000\n", + "ARE-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.616, p=0.000\n", + "ARE-Age dependency ratio (% of working-age population)\n", + "Statistical=0.619, p=0.000\n", + "ARE-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.614, p=0.000\n", + "ARE-Agricultural land (% of land area)\n", + "Statistical=0.615, p=0.000\n", + "ARE-Agricultural land (sq. km)\n", + "Statistical=0.628, p=0.000\n", + "ARE-Agricultural methane emissions (% of total)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.819, p=0.000\n", + "ARE-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.912, p=0.013\n", + "ARE-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.842, p=0.000\n", + "ARE-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.804, p=0.000\n", + "ARE-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.799, p=0.000\n", + "ARE-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.833, p=0.000\n", + "ARE-Aquaculture production (metric tons)\n", + "Statistical=0.804, p=0.000\n", + "ARE-Arable land (% of land area)\n", + "Statistical=0.877, p=0.002\n", + "ARE-Arable land (hectares per person)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Arable land (hectares)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Armed forces personnel (% of total labor force)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Arms exports (SIPRI trend indicator values)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.887, p=0.003\n", + "ARE-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.869, p=0.001\n", + "ARE-Average precipitation in depth (mm per year)\n", + "Statistical=0.840, p=0.000\n", + "ARE-Average time to clear exports through customs (days)\n", + "Statistical=0.922, p=0.024\n", + "ARE-Births attended by skilled health staff (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.901, p=0.006\n", + "ARE-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.869, p=0.001\n", + "ARE-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-CO2 emissions (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-CO2 emissions (metric tons per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.901, p=0.006\n", + "ARE-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.872, p=0.001\n", + "ARE-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.816, p=0.000\n", + "ARE-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.955, p=0.194\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.559, p=0.000\n", + "ARE-Capture fisheries production (metric tons)\n", + "Statistical=0.924, p=0.026\n", + "ARE-Cereal production (metric tons)\n", + "Statistical=0.839, p=0.000\n", + "ARE-Cereal yield (kg per hectare)\n", + "Statistical=0.947, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Changes in inventories (current US$)\n", + "Statistical=0.833, p=0.000\n", + "ARE-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.690, p=0.000\n", + "ARE-Children out of school (% of primary school age)\n", + "Statistical=0.802, p=0.000\n", + "ARE-Coal rents (% of GDP)\n", + "Statistical=0.802, p=0.000\n", + "ARE-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.642, p=0.000\n", + "ARE-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.625, p=0.000\n", + "ARE-Commercial service exports (current US$)\n", + "Statistical=0.898, p=0.005\n", + "ARE-Commercial service imports (current US$)\n", + "Statistical=0.914, p=0.014\n", + "ARE-Completeness of birth registration (%)\n", + "Statistical=0.743, p=0.000\n", + "ARE-Consumer price index (2010 = 100)\n", + "Statistical=0.920, p=0.021\n", + "ARE-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.920, p=0.021\n", + "ARE-Crop production index (2014-2016 = 100)\n", + "Statistical=0.916, p=0.016\n", + "ARE-Current account balance (% of GDP)\n", + "Statistical=0.879, p=0.002\n", + "ARE-Current account balance (BoP, current US$)\n", + "Statistical=0.792, p=0.000\n", + "ARE-Current health expenditure (% of GDP)\n", + "Statistical=0.826, p=0.000\n", + "ARE-Current health expenditure per capita (current US$)\n", + "Statistical=0.826, p=0.000\n", + "ARE-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.898, p=0.006\n", + "ARE-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.898, p=0.006\n", + "ARE-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.872, p=0.001\n", + "ARE-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.854, p=0.000\n", + "ARE-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.811, p=0.000\n", + "ARE-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.833, p=0.000\n", + "ARE-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.714, p=0.000\n", + "ARE-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.712, p=0.000\n", + "ARE-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.714, p=0.000\n", + "ARE-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.867, p=0.001\n", + "ARE-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.867, p=0.001\n", + "ARE-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Electric power consumption (kWh per capita)\n", + "Statistical=0.895, p=0.005\n", + "ARE-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.830, p=0.000\n", + "ARE-Electricity production from coal sources (% of total)\n", + "Statistical=0.895, p=0.005\n", + "ARE-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.818, p=0.000\n", + "ARE-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.863, p=0.001\n", + "ARE-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.785, p=0.000\n", + "ARE-Electricity production from oil sources (% of total)\n", + "Statistical=0.943, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.787, p=0.000\n", + "ARE-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.738, p=0.000\n", + "ARE-Energy related methane emissions (% of total)\n", + "Statistical=0.703, p=0.000\n", + "ARE-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.887, p=0.003\n", + "ARE-Export unit value index (2000 = 100)\n", + "Statistical=0.667, p=0.000\n", + "ARE-Export value index (2000 = 100)\n", + "Statistical=0.731, p=0.000\n", + "ARE-Export volume index (2000 = 100)\n", + "Statistical=0.595, p=0.000\n", + "ARE-Exports of goods and services (% of GDP)\n", + "Statistical=0.765, p=0.000\n", + "ARE-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.875, p=0.002\n", + "ARE-Exports of goods and services (current US$)\n", + "Statistical=0.841, p=0.000\n", + "ARE-External balance on goods and services (% of GDP)\n", + "Statistical=0.932, p=0.043\n", + "ARE-External balance on goods and services (current US$)\n", + "Statistical=0.982, p=0.849\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.568, p=0.000\n", + "ARE-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.972, p=0.562\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Final consumption expenditure (% of GDP)\n", + "Statistical=0.972, p=0.569\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Final consumption expenditure (current US$)\n", + "Statistical=0.985, p=0.929\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.890, p=0.004\n", + "ARE-Firms offering formal training (% of firms)\n", + "Statistical=0.864, p=0.001\n", + "ARE-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.922, p=0.023\n", + "ARE-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.947, p=0.119\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.860, p=0.001\n", + "ARE-Fixed broadband subscriptions\n", + "Statistical=0.934, p=0.050\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.933, p=0.047\n", + "ARE-Fixed telephone subscriptions\n", + "Statistical=0.925, p=0.029\n", + "ARE-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Food exports (% of merchandise exports)\n", + "Statistical=0.859, p=0.001\n", + "ARE-Food imports (% of merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Food production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Forest area (% of land area)\n", + "Statistical=0.887, p=0.003\n", + "ARE-Forest area (sq. km)\n", + "Statistical=0.952, p=0.162\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Forest rents (% of GDP)\n", + "Statistical=0.866, p=0.001\n", + "ARE-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.683, p=0.000\n", + "ARE-Fuel exports (% of merchandise exports)\n", + "Statistical=0.917, p=0.018\n", + "ARE-Fuel imports (% of merchandise imports)\n", + "Statistical=0.732, p=0.000\n", + "ARE-GDP (current US$)\n", + "Statistical=0.953, p=0.181\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-GDP deflator (base year varies by country)\n", + "Statistical=0.957, p=0.224\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.835, p=0.000\n", + "ARE-GDP growth (annual %)\n", + "Statistical=0.835, p=0.000\n", + "ARE-GDP per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.548, p=0.000\n", + "ARE-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.806, p=0.000\n", + "ARE-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-GNI (current US$)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-GNI growth (annual %)\n", + "Statistical=0.875, p=0.002\n", + "ARE-GNI per capita growth (annual %)\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.967, p=0.420\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-General government final consumption expenditure (current US$)\n", + "Statistical=0.926, p=0.031\n", + "ARE-Gini index\n", + "Statistical=0.974, p=0.619\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Goods imports (BoP, current US$)\n", + "Statistical=0.930, p=0.038\n", + "ARE-Grants and other revenue (% of revenue)\n", + "Statistical=0.783, p=0.000\n", + "ARE-Gross capital formation (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Gross capital formation (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Gross domestic savings (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Gross domestic savings (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Gross national expenditure (current US$)\n", + "Statistical=0.585, p=0.000\n", + "ARE-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Gross savings (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Gross savings (current US$)\n", + "Statistical=0.756, p=0.000\n", + "ARE-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.810, p=0.000\n", + "ARE-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-High-technology exports (% of manufactured exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-High-technology exports (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Hospital beds (per 1,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.792, p=0.000\n", + "ARE-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.794, p=0.000\n", + "ARE-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.794, p=0.000\n", + "ARE-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.923, p=0.025\n", + "ARE-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.793, p=0.000\n", + "ARE-ICT goods exports (% of total goods exports)\n", + "Statistical=0.792, p=0.000\n", + "ARE-ICT goods imports (% total goods imports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.796, p=0.000\n", + "ARE-ICT service exports (BoP, current US$)\n", + "Statistical=0.824, p=0.000\n", + "ARE-Import unit value index (2000 = 100)\n", + "Statistical=0.822, p=0.000\n", + "ARE-Import value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Import volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Imports of goods and services (% of GDP)\n", + "Statistical=0.540, p=0.000\n", + "ARE-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.877, p=0.002\n", + "ARE-Imports of goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=0.563, p=0.000\n", + "ARE-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "ARE-Income share held by highest 10%\n", + "Statistical=0.680, p=0.000\n", + "ARE-Income share held by highest 20%\n", + "Statistical=0.835, p=0.000\n", + "ARE-Income share held by lowest 10%\n", + "Statistical=0.384, p=0.000\n", + "ARE-Income share held by lowest 20%\n", + "Statistical=0.872, p=0.001\n", + "ARE-Income share held by second 20%\n", + "Statistical=0.881, p=0.002\n", + "ARE-Income share held by third 20%\n", + "Statistical=0.869, p=0.001\n", + "ARE-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.797, p=0.000\n", + "ARE-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.777, p=0.000\n", + "ARE-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.912, p=0.013\n", + "ARE-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.869, p=0.001\n", + "ARE-Individuals using the Internet (% of population)\n", + "Statistical=0.865, p=0.001\n", + "ARE-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.790, p=0.000\n", + "ARE-Industry (including construction), value added (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.488, p=0.000\n", + "ARE-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.709, p=0.000\n", + "ARE-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.398, p=0.000\n", + "ARE-Intentional homicides (per 100,000 people)\n", + "Statistical=0.672, p=0.000\n", + "ARE-Interest payments (% of revenue)\n", + "Statistical=0.747, p=0.000\n", + "ARE-International migrant stock (% of population)\n", + "Statistical=0.389, p=0.000\n", + "ARE-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.711, p=0.000\n", + "ARE-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.374, p=0.000\n", + "ARE-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.357, p=0.000\n", + "ARE-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.704, p=0.000\n", + "ARE-Land area (sq. km)\n", + "Statistical=0.678, p=0.000\n", + "ARE-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.394, p=0.000\n", + "ARE-Land under cereal production (hectares)\n", + "Statistical=0.604, p=0.000\n", + "ARE-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.927, p=0.033\n", + "ARE-Lifetime risk of maternal death (%)\n", + "Statistical=0.800, p=0.000\n", + "ARE-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.836, p=0.000\n", + "ARE-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.851, p=0.000\n", + "ARE-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.799, p=0.000\n", + "ARE-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.798, p=0.000\n", + "ARE-Low-birthweight babies (% of births)\n", + "Statistical=0.802, p=0.000\n", + "ARE-Lower secondary school starting age (years)\n", + "Statistical=0.864, p=0.001\n", + "ARE-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.863, p=0.001\n", + "ARE-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.858, p=0.001\n", + "ARE-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.908, p=0.010\n", + "ARE-Marine protected areas (% of territorial waters)\n", + "Statistical=0.837, p=0.000\n", + "ARE-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.866, p=0.001\n", + "ARE-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.871, p=0.001\n", + "ARE-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.837, p=0.000\n", + "ARE-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.884, p=0.002\n", + "ARE-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.913, p=0.014\n", + "ARE-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.851, p=0.000\n", + "ARE-Merchandise exports (current US$)\n", + "Statistical=0.864, p=0.001\n", + "ARE-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.800, p=0.000\n", + "ARE-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.911, p=0.012\n", + "ARE-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.918, p=0.018\n", + "ARE-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.468, p=0.000\n", + "ARE-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.941, p=0.081\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.477, p=0.000\n", + "ARE-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.974, p=0.621\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.345, p=0.000\n", + "ARE-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.862, p=0.001\n", + "ARE-Merchandise imports (current US$)\n", + "Statistical=0.912, p=0.013\n", + "ARE-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.824, p=0.000\n", + "ARE-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.837, p=0.000\n", + "ARE-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.833, p=0.000\n", + "ARE-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.842, p=0.000\n", + "ARE-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.844, p=0.000\n", + "ARE-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.817, p=0.000\n", + "ARE-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.799, p=0.000\n", + "ARE-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Merchandise trade (% of GDP)\n", + "Statistical=0.867, p=0.001\n", + "ARE-Methane emissions (% change from 1990)\n", + "Statistical=0.814, p=0.000\n", + "ARE-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.814, p=0.000\n", + "ARE-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.780, p=0.000\n", + "ARE-Military expenditure (% of GDP)\n", + "Statistical=0.780, p=0.000\n", + "ARE-Military expenditure (% of general government expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Military expenditure (current USD)\n", + "Statistical=0.809, p=0.000\n", + "ARE-Mineral rents (% of GDP)\n", + "Statistical=0.668, p=0.000\n", + "ARE-Mobile cellular subscriptions\n", + "Statistical=0.773, p=0.000\n", + "ARE-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.773, p=0.000\n", + "ARE-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Natural gas rents (% of GDP)\n", + "Statistical=0.898, p=0.005\n", + "ARE-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.869, p=0.001\n", + "ARE-Net capital account (BoP, current US$)\n", + "Statistical=0.962, p=0.308\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.796, p=0.000\n", + "ARE-Net financial account (BoP, current US$)\n", + "Statistical=0.768, p=0.000\n", + "ARE-Net migration\n", + "Statistical=0.824, p=0.000\n", + "ARE-Net primary income (BoP, current US$)\n", + "Statistical=0.824, p=0.000\n", + "ARE-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.822, p=0.000\n", + "ARE-Net secondary income (BoP, current US$)\n", + "Statistical=0.822, p=0.000\n", + "ARE-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Net trade in goods (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Net trade in goods and services (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-New businesses registered (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.725, p=0.000\n", + "ARE-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.751, p=0.000\n", + "ARE-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.917, p=0.017\n", + "ARE-Number of deaths ages 10-14 years\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Number of deaths ages 15-19 years\n", + "Statistical=0.909, p=0.011\n", + "ARE-Number of deaths ages 20-24 years\n", + "Statistical=0.804, p=0.000\n", + "ARE-Number of deaths ages 5-9 years\n", + "Statistical=0.944, p=0.097\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Number of infant deaths\n", + "Statistical=0.603, p=0.000\n", + "ARE-Number of maternal deaths\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Number of neonatal deaths\n", + "Statistical=0.922, p=0.023\n", + "ARE-Number of under-five deaths\n", + "Statistical=0.871, p=0.001\n", + "ARE-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.819, p=0.000\n", + "ARE-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.784, p=0.000\n", + "ARE-Oil rents (% of GDP)\n", + "Statistical=0.705, p=0.000\n", + "ARE-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.705, p=0.000\n", + "ARE-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.932, p=0.045\n", + "ARE-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.826, p=0.000\n", + "ARE-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.877, p=0.002\n", + "ARE-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.800, p=0.000\n", + "ARE-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.920, p=0.021\n", + "ARE-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.920, p=0.021\n", + "ARE-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.854, p=0.001\n", + "ARE-People using at least basic drinking water services (% of population)\n", + "Statistical=0.854, p=0.001\n", + "ARE-People using at least basic sanitation services (% of population)\n", + "Statistical=0.863, p=0.001\n", + "ARE-People using safely managed sanitation services (% of population)\n", + "Statistical=0.863, p=0.001\n", + "ARE-Permanent cropland (% of land area)\n", + "Statistical=0.928, p=0.034\n", + "ARE-Physicians (per 1,000 people)\n", + "Statistical=0.857, p=0.001\n", + "ARE-Population ages 0-14 (% of total population)\n", + "Statistical=0.857, p=0.001\n", + "ARE-Population ages 15-64 (% of total population)\n", + "Statistical=0.921, p=0.022\n", + "ARE-Population ages 65 and above (% of total population)\n", + "Statistical=0.921, p=0.022\n", + "ARE-Population density (people per sq. km of land area)\n", + "Statistical=0.969, p=0.479\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Population growth (annual %)\n", + "Statistical=0.857, p=0.001\n", + "ARE-Population in largest city\n", + "Statistical=0.887, p=0.003\n", + "ARE-Population in the largest city (% of urban population)\n", + "Statistical=0.862, p=0.001\n", + "ARE-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.920, p=0.021\n", + "ARE-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.887, p=0.003\n", + "ARE-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.854, p=0.001\n", + "ARE-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.831, p=0.000\n", + "ARE-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.831, p=0.000\n", + "ARE-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.803, p=0.000\n", + "ARE-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.803, p=0.000\n", + "ARE-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.858, p=0.001\n", + "ARE-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.805, p=0.000\n", + "ARE-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.805, p=0.000\n", + "ARE-Prevalence of undernourishment (% of population)\n", + "Statistical=0.889, p=0.003\n", + "ARE-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.880, p=0.002\n", + "ARE-Primary income payments (BoP, current US$)\n", + "Statistical=0.847, p=0.000\n", + "ARE-Primary income receipts (BoP, current US$)\n", + "Statistical=0.805, p=0.000\n", + "ARE-Primary school starting age (years)\n", + "Statistical=0.759, p=0.000\n", + "ARE-Private credit bureau coverage (% of adults)\n", + "Statistical=0.804, p=0.000\n", + "ARE-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.831, p=0.000\n", + "ARE-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.814, p=0.000\n", + "ARE-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.803, p=0.000\n", + "ARE-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.889, p=0.003\n", + "ARE-Procedures to build a warehouse (number)\n", + "Statistical=0.922, p=0.024\n", + "ARE-Procedures to register property (number)\n", + "Statistical=0.745, p=0.000\n", + "ARE-Profit tax (% of commercial profits)\n", + "Statistical=0.745, p=0.000\n", + "ARE-Progression to secondary school (%)\n", + "Statistical=0.776, p=0.000\n", + "ARE-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.776, p=0.000\n", + "ARE-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.556, p=0.000\n", + "ARE-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Public credit registry coverage (% of adults)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Pump price for gasoline (US$ per liter)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Rail lines (total route-km)\n", + "Statistical=0.808, p=0.000\n", + "ARE-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.860, p=0.001\n", + "ARE-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.728, p=0.000\n", + "ARE-Refugee population by country or territory of asylum\n", + "Statistical=0.870, p=0.001\n", + "ARE-Refugee population by country or territory of origin\n", + "Statistical=0.892, p=0.004\n", + "ARE-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.830, p=0.000\n", + "ARE-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.830, p=0.000\n", + "ARE-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.773, p=0.000\n", + "ARE-Research and development expenditure (% of GDP)\n", + "Statistical=0.773, p=0.000\n", + "ARE-Researchers in R&D (per million people)\n", + "Statistical=0.834, p=0.000\n", + "ARE-Reserves and related items (BoP, current US$)\n", + "Statistical=0.796, p=0.000\n", + "ARE-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.775, p=0.000\n", + "ARE-Rural land area (sq. km)\n", + "Statistical=0.775, p=0.000\n", + "ARE-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.865, p=0.001\n", + "ARE-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.864, p=0.001\n", + "ARE-Rural population\n", + "Statistical=0.772, p=0.000\n", + "ARE-Rural population (% of total population)\n", + "Statistical=0.772, p=0.000\n", + "ARE-Rural population growth (annual %)\n", + "Statistical=0.761, p=0.000\n", + "ARE-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.761, p=0.000\n", + "ARE-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Scientific and technical journal articles\n", + "Statistical=0.946, p=0.111\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.913, p=0.013\n", + "ARE-Secure Internet servers\n", + "Statistical=0.809, p=0.000\n", + "ARE-Secure Internet servers (per 1 million people)\n", + "Statistical=0.869, p=0.001\n", + "ARE-Service exports (BoP, current US$)\n", + "Statistical=0.864, p=0.001\n", + "ARE-Service imports (BoP, current US$)\n", + "Statistical=0.805, p=0.000\n", + "ARE-Sex ratio at birth (male births per female births)\n", + "Statistical=0.805, p=0.000\n", + "ARE-Social contributions (% of revenue)\n", + "Statistical=0.783, p=0.000\n", + "ARE-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Start-up procedures to register a business (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.685, p=0.000\n", + "ARE-Surface area (sq. km)\n", + "Statistical=0.679, p=0.000\n", + "ARE-Tax payments (number)\n", + "Statistical=0.928, p=0.035\n", + "ARE-Tax revenue (% of GDP)\n", + "Statistical=0.746, p=0.000\n", + "ARE-Taxes less subsidies on products (current US$)\n", + "Statistical=0.804, p=0.000\n", + "ARE-Taxes on goods and services (% of revenue)\n", + "Statistical=0.804, p=0.000\n", + "ARE-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.841, p=0.000\n", + "ARE-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.841, p=0.000\n", + "ARE-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.732, p=0.000\n", + "ARE-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.859, p=0.001\n", + "ARE-Time required to build a warehouse (days)\n", + "Statistical=0.804, p=0.000\n", + "ARE-Time required to enforce a contract (days)\n", + "Statistical=0.752, p=0.000\n", + "ARE-Time required to get electricity (days)\n", + "Statistical=0.754, p=0.000\n", + "ARE-Time required to register property (days)\n", + "Statistical=0.841, p=0.000\n", + "ARE-Time required to start a business (days)\n", + "Statistical=0.643, p=0.000\n", + "ARE-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.646, p=0.000\n", + "ARE-Time to obtain an electrical connection (days)\n", + "Statistical=0.648, p=0.000\n", + "ARE-Time to prepare and pay taxes (hours)\n", + "Statistical=0.648, p=0.000\n", + "ARE-Time to resolve insolvency (years)\n", + "Statistical=0.629, p=0.000\n", + "ARE-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.653, p=0.000\n", + "ARE-Total fisheries production (metric tons)\n", + "Statistical=0.649, p=0.000\n", + "ARE-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.656, p=0.000\n", + "ARE-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.649, p=0.000\n", + "ARE-Total natural resources rents (% of GDP)\n", + "Statistical=0.852, p=0.000\n", + "ARE-Total reserves (includes gold, current US$)\n", + "Statistical=0.851, p=0.000\n", + "ARE-Total reserves in months of imports\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Total reserves minus gold (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Total tax and contribution rate (% of profit)\n", + "Statistical=0.930, p=0.038\n", + "ARE-Trade (% of GDP)\n", + "Statistical=0.825, p=0.000\n", + "ARE-Trade in services (% of GDP)\n", + "Statistical=0.901, p=0.006\n", + "ARE-Transport services (% of commercial service exports)\n", + "Statistical=0.815, p=0.000\n", + "ARE-Transport services (% of commercial service imports)\n", + "Statistical=0.824, p=0.000\n", + "ARE-Transport services (% of service exports, BoP)\n", + "Statistical=0.822, p=0.000\n", + "ARE-Transport services (% of service imports, BoP)\n", + "Statistical=0.822, p=0.000\n", + "ARE-Travel services (% of commercial service exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Travel services (% of commercial service imports)\n", + "Statistical=0.904, p=0.008\n", + "ARE-Travel services (% of service exports, BoP)\n", + "Statistical=0.823, p=0.000\n", + "ARE-Travel services (% of service imports, BoP)\n", + "Statistical=0.823, p=0.000\n", + "ARE-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.796, p=0.000\n", + "ARE-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.796, p=0.000\n", + "ARE-UHC service coverage index\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.813, p=0.000\n", + "ARE-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.556, p=0.000\n", + "ARE-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.556, p=0.000\n", + "ARE-Urban land area (sq. km)\n", + "Statistical=0.556, p=0.000\n", + "ARE-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.556, p=0.000\n", + "ARE-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.556, p=0.000\n", + "ARE-Urban population\n", + "Statistical=0.556, p=0.000\n", + "ARE-Urban population (% of total population)\n", + "Statistical=0.556, p=0.000\n", + "ARE-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-GDP (current US$)+2\n", + "Statistical=0.627, p=0.000\n", + "ARE-GDP (current US$)+3\n", + "Statistical=0.670, p=0.000\n", + "ARE-GDP (current US$)+5\n", + "Statistical=0.945, p=0.103\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-GDP (current US$)+8\n", + "Statistical=0.846, p=0.000\n", + "ARE-GDP (current US$)+13\n", + "Statistical=0.837, p=0.000\n", + "ARE-GDP (current US$)+21\n", + "Statistical=0.837, p=0.000\n", + "ARE-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.868, p=0.001\n", + "ARE-Deposit interest rate (%)\n", + "Statistical=0.867, p=0.001\n", + "ARE-Other taxes (% of revenue)\n", + "Statistical=0.775, p=0.000\n", + "ARE-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.970, p=0.494\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Taxes on international trade (% of revenue)\n", + "Statistical=0.970, p=0.494\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.737, p=0.000\n", + "ARE-Broad money (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Broad money growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Broad money to total reserves ratio\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Claims on central government (annual growth as % of broad money)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.806, p=0.000\n", + "ARE-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-External health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-External health expenditure per capita (current US$)\n", + "Statistical=0.389, p=0.000\n", + "ARE-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.849, p=0.000\n", + "ARE-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.815, p=0.000\n", + "ARE-Net official development assistance and official aid received (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.808, p=0.000\n", + "ARE-People practicing open defecation (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Taxes on exports (% of tax revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.481, p=0.000\n", + "ARE-Country\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARE-Year\n", + "Statistical=0.765, p=0.000\n", + "ARE-Continent\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.611, p=0.000\n", + "SAU-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.613, p=0.000\n", + "SAU-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.596, p=0.000\n", + "SAU-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.620, p=0.000\n", + "SAU-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.604, p=0.000\n", + "SAU-Age dependency ratio (% of working-age population)\n", + "Statistical=0.606, p=0.000\n", + "SAU-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.616, p=0.000\n", + "SAU-Agricultural land (% of land area)\n", + "Statistical=0.610, p=0.000\n", + "SAU-Agricultural land (sq. km)\n", + "Statistical=0.641, p=0.000\n", + "SAU-Agricultural methane emissions (% of total)\n", + "Statistical=0.647, p=0.000\n", + "SAU-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.524, p=0.000\n", + "SAU-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.672, p=0.000\n", + "SAU-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.894, p=0.004\n", + "SAU-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.798, p=0.000\n", + "SAU-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.839, p=0.000\n", + "SAU-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.897, p=0.005\n", + "SAU-Aquaculture production (metric tons)\n", + "Statistical=0.840, p=0.000\n", + "SAU-Arable land (% of land area)\n", + "Statistical=0.825, p=0.000\n", + "SAU-Arable land (hectares per person)\n", + "Statistical=0.951, p=0.158\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Arable land (hectares)\n", + "Statistical=0.911, p=0.012\n", + "SAU-Armed forces personnel (% of total labor force)\n", + "Statistical=0.951, p=0.157\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.911, p=0.012\n", + "SAU-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.974, p=0.606\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.873, p=0.001\n", + "SAU-Average precipitation in depth (mm per year)\n", + "Statistical=0.957, p=0.226\n", + "Data is NORMAL ( H0 not denied )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SAU-Average time to clear exports through customs (days)\n", + "Statistical=0.823, p=0.000\n", + "SAU-Births attended by skilled health staff (% of total)\n", + "Statistical=0.592, p=0.000\n", + "SAU-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.845, p=0.000\n", + "SAU-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.902, p=0.007\n", + "SAU-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.882, p=0.002\n", + "SAU-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.959, p=0.258\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-CO2 emissions (kt)\n", + "Statistical=0.923, p=0.026\n", + "SAU-CO2 emissions (metric tons per capita)\n", + "Statistical=0.882, p=0.002\n", + "SAU-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.902, p=0.007\n", + "SAU-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.961, p=0.301\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.906, p=0.009\n", + "SAU-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.824, p=0.000\n", + "SAU-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.870, p=0.001\n", + "SAU-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.826, p=0.000\n", + "SAU-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.460, p=0.000\n", + "SAU-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.666, p=0.000\n", + "SAU-Capture fisheries production (metric tons)\n", + "Statistical=0.609, p=0.000\n", + "SAU-Cereal production (metric tons)\n", + "Statistical=0.881, p=0.002\n", + "SAU-Cereal yield (kg per hectare)\n", + "Statistical=0.919, p=0.020\n", + "SAU-Changes in inventories (current US$)\n", + "Statistical=0.886, p=0.003\n", + "SAU-Chemicals (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Children out of school (% of primary school age)\n", + "Statistical=0.593, p=0.000\n", + "SAU-Coal rents (% of GDP)\n", + "Statistical=0.593, p=0.000\n", + "SAU-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.470, p=0.000\n", + "SAU-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.488, p=0.000\n", + "SAU-Commercial service exports (current US$)\n", + "Statistical=0.811, p=0.000\n", + "SAU-Commercial service imports (current US$)\n", + "Statistical=0.931, p=0.041\n", + "SAU-Completeness of birth registration (%)\n", + "Statistical=0.785, p=0.000\n", + "SAU-Consumer price index (2010 = 100)\n", + "Statistical=0.906, p=0.009\n", + "SAU-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.902, p=0.007\n", + "SAU-Crop production index (2014-2016 = 100)\n", + "Statistical=0.922, p=0.023\n", + "SAU-Current account balance (% of GDP)\n", + "Statistical=0.834, p=0.000\n", + "SAU-Current account balance (BoP, current US$)\n", + "Statistical=0.970, p=0.511\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Current health expenditure (% of GDP)\n", + "Statistical=0.883, p=0.002\n", + "SAU-Current health expenditure per capita (current US$)\n", + "Statistical=0.883, p=0.002\n", + "SAU-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.878, p=0.002\n", + "SAU-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.878, p=0.002\n", + "SAU-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.911, p=0.012\n", + "SAU-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.892, p=0.004\n", + "SAU-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.850, p=0.000\n", + "SAU-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.838, p=0.000\n", + "SAU-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.870, p=0.001\n", + "SAU-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.843, p=0.000\n", + "SAU-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.849, p=0.000\n", + "SAU-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.844, p=0.000\n", + "SAU-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.844, p=0.000\n", + "SAU-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.850, p=0.000\n", + "SAU-Electric power consumption (kWh per capita)\n", + "Statistical=0.927, p=0.032\n", + "SAU-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.882, p=0.002\n", + "SAU-Electricity production from coal sources (% of total)\n", + "Statistical=0.927, p=0.032\n", + "SAU-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.932, p=0.045\n", + "SAU-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.836, p=0.000\n", + "SAU-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.925, p=0.029\n", + "SAU-Electricity production from oil sources (% of total)\n", + "Statistical=0.930, p=0.039\n", + "SAU-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.774, p=0.000\n", + "SAU-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.752, p=0.000\n", + "SAU-Energy related methane emissions (% of total)\n", + "Statistical=0.703, p=0.000\n", + "SAU-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.957, p=0.226\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Export unit value index (2000 = 100)\n", + "Statistical=0.896, p=0.005\n", + "SAU-Export value index (2000 = 100)\n", + "Statistical=0.589, p=0.000\n", + "SAU-Export volume index (2000 = 100)\n", + "Statistical=0.442, p=0.000\n", + "SAU-Exports of goods and services (% of GDP)\n", + "Statistical=0.701, p=0.000\n", + "SAU-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.883, p=0.002\n", + "SAU-Exports of goods and services (current US$)\n", + "Statistical=0.811, p=0.000\n", + "SAU-External balance on goods and services (% of GDP)\n", + "Statistical=0.904, p=0.008\n", + "SAU-External balance on goods and services (current US$)\n", + "Statistical=0.812, p=0.000\n", + "SAU-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.951, p=0.158\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Final consumption expenditure (% of GDP)\n", + "Statistical=0.951, p=0.158\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Final consumption expenditure (current US$)\n", + "Statistical=0.980, p=0.796\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.881, p=0.002\n", + "SAU-Firms offering formal training (% of firms)\n", + "Statistical=0.915, p=0.015\n", + "SAU-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.918, p=0.018\n", + "SAU-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.955, p=0.205\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.877, p=0.002\n", + "SAU-Fixed broadband subscriptions\n", + "Statistical=0.862, p=0.001\n", + "SAU-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.953, p=0.170\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Fixed telephone subscriptions\n", + "Statistical=0.880, p=0.002\n", + "SAU-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Food exports (% of merchandise exports)\n", + "Statistical=0.919, p=0.019\n", + "SAU-Food imports (% of merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Food production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Forest area (% of land area)\n", + "Statistical=0.816, p=0.000\n", + "SAU-Forest area (sq. km)\n", + "Statistical=0.907, p=0.009\n", + "SAU-Forest rents (% of GDP)\n", + "Statistical=0.882, p=0.002\n", + "SAU-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.835, p=0.000\n", + "SAU-Fuel exports (% of merchandise exports)\n", + "Statistical=0.829, p=0.000\n", + "SAU-Fuel imports (% of merchandise imports)\n", + "Statistical=0.856, p=0.001\n", + "SAU-GDP (current US$)\n", + "Statistical=0.888, p=0.003\n", + "SAU-GDP deflator (base year varies by country)\n", + "Statistical=0.898, p=0.005\n", + "SAU-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.850, p=0.000\n", + "SAU-GDP growth (annual %)\n", + "Statistical=0.850, p=0.000\n", + "SAU-GDP per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.792, p=0.000\n", + "SAU-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.741, p=0.000\n", + "SAU-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.573, p=0.000\n", + "SAU-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.697, p=0.000\n", + "SAU-GNI (current US$)\n", + "Statistical=0.729, p=0.000\n", + "SAU-GNI growth (annual %)\n", + "Statistical=0.675, p=0.000\n", + "SAU-GNI per capita growth (annual %)\n", + "Statistical=0.689, p=0.000\n", + "SAU-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.954, p=0.184\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-General government final consumption expenditure (current US$)\n", + "Statistical=0.891, p=0.004\n", + "SAU-Gini index\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Goods imports (BoP, current US$)\n", + "Statistical=0.839, p=0.000\n", + "SAU-Grants and other revenue (% of revenue)\n", + "Statistical=0.884, p=0.002\n", + "SAU-Gross capital formation (% of GDP)\n", + "Statistical=0.915, p=0.015\n", + "SAU-Gross capital formation (current US$)\n", + "Statistical=0.824, p=0.000\n", + "SAU-Gross domestic savings (% of GDP)\n", + "Statistical=0.720, p=0.000\n", + "SAU-Gross domestic savings (current US$)\n", + "Statistical=0.757, p=0.000\n", + "SAU-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.718, p=0.000\n", + "SAU-Gross savings (% of GDP)\n", + "Statistical=0.858, p=0.001\n", + "SAU-Gross savings (current US$)\n", + "Statistical=0.818, p=0.000\n", + "SAU-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.851, p=0.000\n", + "SAU-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.782, p=0.000\n", + "SAU-High-technology exports (% of manufactured exports)\n", + "Statistical=0.863, p=0.001\n", + "SAU-High-technology exports (current US$)\n", + "Statistical=0.886, p=0.003\n", + "SAU-Hospital beds (per 1,000 people)\n", + "Statistical=0.847, p=0.000\n", + "SAU-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.850, p=0.000\n", + "SAU-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.713, p=0.000\n", + "SAU-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.713, p=0.000\n", + "SAU-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.713, p=0.000\n", + "SAU-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.931, p=0.042\n", + "SAU-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.963, p=0.329\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.903, p=0.007\n", + "SAU-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-ICT goods exports (% of total goods exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-ICT goods imports (% total goods imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.872, p=0.001\n", + "SAU-ICT service exports (BoP, current US$)\n", + "Statistical=0.762, p=0.000\n", + "SAU-Import unit value index (2000 = 100)\n", + "Statistical=0.763, p=0.000\n", + "SAU-Import value index (2000 = 100)\n", + "Statistical=0.740, p=0.000\n", + "SAU-Import volume index (2000 = 100)\n", + "Statistical=0.685, p=0.000\n", + "SAU-Imports of goods and services (% of GDP)\n", + "Statistical=0.627, p=0.000\n", + "SAU-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.783, p=0.000\n", + "SAU-Imports of goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "SAU-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Income share held by highest 20%\n", + "Statistical=0.862, p=0.001\n", + "SAU-Income share held by lowest 10%\n", + "Statistical=0.934, p=0.050\n", + "SAU-Income share held by lowest 20%\n", + "Statistical=0.927, p=0.031\n", + "SAU-Income share held by second 20%\n", + "Statistical=0.923, p=0.026\n", + "SAU-Income share held by third 20%\n", + "Statistical=0.784, p=0.000\n", + "SAU-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.928, p=0.034\n", + "SAU-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.755, p=0.000\n", + "SAU-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.785, p=0.000\n", + "SAU-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.784, p=0.000\n", + "SAU-Individuals using the Internet (% of population)\n", + "Statistical=0.773, p=0.000\n", + "SAU-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.776, p=0.000\n", + "SAU-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.454, p=0.000\n", + "SAU-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.862, p=0.001\n", + "SAU-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.829, p=0.000\n", + "SAU-Intentional homicides (per 100,000 people)\n", + "Statistical=0.853, p=0.000\n", + "SAU-Interest payments (% of revenue)\n", + "Statistical=0.855, p=0.001\n", + "SAU-International migrant stock (% of population)\n", + "Statistical=0.817, p=0.000\n", + "SAU-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.846, p=0.000\n", + "SAU-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.881, p=0.002\n", + "SAU-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.866, p=0.001\n", + "SAU-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.877, p=0.002\n", + "SAU-Land area (sq. km)\n", + "Statistical=0.868, p=0.001\n", + "SAU-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.811, p=0.000\n", + "SAU-Land under cereal production (hectares)\n", + "Statistical=0.847, p=0.000\n", + "SAU-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.902, p=0.007\n", + "SAU-Lifetime risk of maternal death (%)\n", + "Statistical=0.966, p=0.396\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.894, p=0.004\n", + "SAU-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.911, p=0.012\n", + "SAU-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.894, p=0.004\n", + "SAU-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.855, p=0.001\n", + "SAU-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.826, p=0.000\n", + "SAU-Low-birthweight babies (% of births)\n", + "Statistical=0.776, p=0.000\n", + "SAU-Lower secondary school starting age (years)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.964, p=0.361\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.912, p=0.013\n", + "SAU-Marine protected areas (% of territorial waters)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.892, p=0.004\n", + "SAU-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.916, p=0.017\n", + "SAU-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.923, p=0.024\n", + "SAU-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.930, p=0.038\n", + "SAU-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.933, p=0.047\n", + "SAU-Merchandise exports (current US$)\n", + "Statistical=0.960, p=0.267\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.913, p=0.014\n", + "SAU-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.917, p=0.017\n", + "SAU-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.953, p=0.180\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.867, p=0.001\n", + "SAU-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.846, p=0.000\n", + "SAU-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.868, p=0.001\n", + "SAU-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.850, p=0.000\n", + "SAU-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.894, p=0.004\n", + "SAU-Merchandise imports (current US$)\n", + "Statistical=0.843, p=0.000\n", + "SAU-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.816, p=0.000\n", + "SAU-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.874, p=0.001\n", + "SAU-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.923, p=0.025\n", + "SAU-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.487, p=0.000\n", + "SAU-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.906, p=0.009\n", + "SAU-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.888, p=0.003\n", + "SAU-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.940, p=0.076\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.856, p=0.001\n", + "SAU-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.954, p=0.181\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.887, p=0.003\n", + "SAU-Merchandise trade (% of GDP)\n", + "Statistical=0.885, p=0.003\n", + "SAU-Methane emissions (% change from 1990)\n", + "Statistical=0.869, p=0.001\n", + "SAU-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.869, p=0.001\n", + "SAU-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.887, p=0.003\n", + "SAU-Military expenditure (% of GDP)\n", + "Statistical=0.887, p=0.003\n", + "SAU-Military expenditure (% of general government expenditure)\n", + "Statistical=0.882, p=0.002\n", + "SAU-Military expenditure (current USD)\n", + "Statistical=0.962, p=0.303\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Mineral rents (% of GDP)\n", + "Statistical=0.667, p=0.000\n", + "SAU-Mobile cellular subscriptions\n", + "Statistical=0.888, p=0.003\n", + "SAU-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.888, p=0.003\n", + "SAU-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Natural gas rents (% of GDP)\n", + "Statistical=0.917, p=0.018\n", + "SAU-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.848, p=0.000\n", + "SAU-Net capital account (BoP, current US$)\n", + "Statistical=0.947, p=0.119\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.933, p=0.046\n", + "SAU-Net financial account (BoP, current US$)\n", + "Statistical=0.882, p=0.002\n", + "SAU-Net migration\n", + "Statistical=0.792, p=0.000\n", + "SAU-Net primary income (BoP, current US$)\n", + "Statistical=0.792, p=0.000\n", + "SAU-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.812, p=0.000\n", + "SAU-Net secondary income (BoP, current US$)\n", + "Statistical=0.811, p=0.000\n", + "SAU-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Net trade in goods (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Net trade in goods and services (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-New businesses registered (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.724, p=0.000\n", + "SAU-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.734, p=0.000\n", + "SAU-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Number of deaths ages 10-14 years\n", + "Statistical=0.816, p=0.000\n", + "SAU-Number of deaths ages 15-19 years\n", + "Statistical=0.926, p=0.030\n", + "SAU-Number of deaths ages 20-24 years\n", + "Statistical=0.959, p=0.260\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Number of deaths ages 5-9 years\n", + "Statistical=0.910, p=0.011\n", + "SAU-Number of infant deaths\n", + "Statistical=0.874, p=0.001\n", + "SAU-Number of maternal deaths\n", + "Statistical=0.883, p=0.002\n", + "SAU-Number of neonatal deaths\n", + "Statistical=0.941, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Number of under-five deaths\n", + "Statistical=0.863, p=0.001\n", + "SAU-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.857, p=0.001\n", + "SAU-Oil rents (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Ores and metals exports (% of merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.914, p=0.014\n", + "SAU-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.606, p=0.000\n", + "SAU-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.877, p=0.002\n", + "SAU-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.666, p=0.000\n", + "SAU-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.870, p=0.001\n", + "SAU-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.870, p=0.001\n", + "SAU-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.839, p=0.000\n", + "SAU-People using at least basic drinking water services (% of population)\n", + "Statistical=0.839, p=0.000\n", + "SAU-People using at least basic sanitation services (% of population)\n", + "Statistical=0.860, p=0.001\n", + "SAU-People using safely managed sanitation services (% of population)\n", + "Statistical=0.860, p=0.001\n", + "SAU-Permanent cropland (% of land area)\n", + "Statistical=0.976, p=0.671\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Physicians (per 1,000 people)\n", + "Statistical=0.967, p=0.427\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Population ages 0-14 (% of total population)\n", + "Statistical=0.967, p=0.427\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Population ages 15-64 (% of total population)\n", + "Statistical=0.850, p=0.000\n", + "SAU-Population ages 65 and above (% of total population)\n", + "Statistical=0.850, p=0.000\n", + "SAU-Population density (people per sq. km of land area)\n", + "Statistical=0.964, p=0.345\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Population growth (annual %)\n", + "Statistical=0.967, p=0.427\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Population in largest city\n", + "Statistical=0.933, p=0.049\n", + "SAU-Population in the largest city (% of urban population)\n", + "Statistical=0.967, p=0.415\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.950, p=0.146\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.891, p=0.004\n", + "SAU-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.870, p=0.001\n", + "SAU-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.883, p=0.002\n", + "SAU-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.839, p=0.000\n", + "SAU-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.813, p=0.000\n", + "SAU-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.813, p=0.000\n", + "SAU-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.834, p=0.000\n", + "SAU-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.834, p=0.000\n", + "SAU-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.876, p=0.002\n", + "SAU-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.916, p=0.017\n", + "SAU-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.916, p=0.017\n", + "SAU-Prevalence of undernourishment (% of population)\n", + "Statistical=0.846, p=0.000\n", + "SAU-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.872, p=0.001\n", + "SAU-Primary income payments (BoP, current US$)\n", + "Statistical=0.837, p=0.000\n", + "SAU-Primary income receipts (BoP, current US$)\n", + "Statistical=0.916, p=0.017\n", + "SAU-Primary school starting age (years)\n", + "Statistical=0.920, p=0.021\n", + "SAU-Private credit bureau coverage (% of adults)\n", + "Statistical=0.822, p=0.000\n", + "SAU-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.813, p=0.000\n", + "SAU-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.879, p=0.002\n", + "SAU-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.834, p=0.000\n", + "SAU-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.974, p=0.615\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Procedures to build a warehouse (number)\n", + "Statistical=0.851, p=0.000\n", + "SAU-Procedures to register property (number)\n", + "Statistical=0.817, p=0.000\n", + "SAU-Profit tax (% of commercial profits)\n", + "Statistical=0.817, p=0.000\n", + "SAU-Progression to secondary school (%)\n", + "Statistical=0.829, p=0.000\n", + "SAU-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.829, p=0.000\n", + "SAU-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.888, p=0.003\n", + "SAU-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.834, p=0.000\n", + "SAU-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.801, p=0.000\n", + "SAU-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.904, p=0.008\n", + "SAU-Public credit registry coverage (% of adults)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Pump price for gasoline (US$ per liter)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Rail lines (total route-km)\n", + "Statistical=0.577, p=0.000\n", + "SAU-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.645, p=0.000\n", + "SAU-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.787, p=0.000\n", + "SAU-Refugee population by country or territory of asylum\n", + "Statistical=0.950, p=0.143\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Refugee population by country or territory of origin\n", + "Statistical=0.885, p=0.003\n", + "SAU-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.806, p=0.000\n", + "SAU-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.806, p=0.000\n", + "SAU-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.819, p=0.000\n", + "SAU-Research and development expenditure (% of GDP)\n", + "Statistical=0.819, p=0.000\n", + "SAU-Researchers in R&D (per million people)\n", + "Statistical=0.823, p=0.000\n", + "SAU-Reserves and related items (BoP, current US$)\n", + "Statistical=0.933, p=0.046\n", + "SAU-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.894, p=0.004\n", + "SAU-Rural land area (sq. km)\n", + "Statistical=0.894, p=0.004\n", + "SAU-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.945, p=0.103\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.895, p=0.005\n", + "SAU-Rural population\n", + "Statistical=0.813, p=0.000\n", + "SAU-Rural population (% of total population)\n", + "Statistical=0.813, p=0.000\n", + "SAU-Rural population growth (annual %)\n", + "Statistical=0.822, p=0.000\n", + "SAU-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.822, p=0.000\n", + "SAU-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.828, p=0.000\n", + "SAU-Scientific and technical journal articles\n", + "Statistical=0.724, p=0.000\n", + "SAU-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.698, p=0.000\n", + "SAU-Secure Internet servers\n", + "Statistical=0.962, p=0.303\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Secure Internet servers (per 1 million people)\n", + "Statistical=0.797, p=0.000\n", + "SAU-Service exports (BoP, current US$)\n", + "Statistical=0.798, p=0.000\n", + "SAU-Service imports (BoP, current US$)\n", + "Statistical=0.814, p=0.000\n", + "SAU-Sex ratio at birth (male births per female births)\n", + "Statistical=0.814, p=0.000\n", + "SAU-Social contributions (% of revenue)\n", + "Statistical=0.808, p=0.000\n", + "SAU-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.953, p=0.171\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Start-up procedures to register a business (number)\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.900, p=0.006\n", + "SAU-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.900, p=0.006\n", + "SAU-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.871, p=0.001\n", + "SAU-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.871, p=0.001\n", + "SAU-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.839, p=0.000\n", + "SAU-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.839, p=0.000\n", + "SAU-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.819, p=0.000\n", + "SAU-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.855, p=0.001\n", + "SAU-Surface area (sq. km)\n", + "Statistical=0.749, p=0.000\n", + "SAU-Tax payments (number)\n", + "Statistical=0.859, p=0.001\n", + "SAU-Tax revenue (% of GDP)\n", + "Statistical=0.874, p=0.001\n", + "SAU-Taxes less subsidies on products (current US$)\n", + "Statistical=0.804, p=0.000\n", + "SAU-Taxes on goods and services (% of revenue)\n", + "Statistical=0.804, p=0.000\n", + "SAU-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.807, p=0.000\n", + "SAU-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.807, p=0.000\n", + "SAU-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.786, p=0.000\n", + "SAU-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.879, p=0.002\n", + "SAU-Time required to build a warehouse (days)\n", + "Statistical=0.804, p=0.000\n", + "SAU-Time required to enforce a contract (days)\n", + "Statistical=0.864, p=0.001\n", + "SAU-Time required to get electricity (days)\n", + "Statistical=0.924, p=0.027\n", + "SAU-Time required to register property (days)\n", + "Statistical=0.807, p=0.000\n", + "SAU-Time required to start a business (days)\n", + "Statistical=0.402, p=0.000\n", + "SAU-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.668, p=0.000\n", + "SAU-Time to obtain an electrical connection (days)\n", + "Statistical=0.669, p=0.000\n", + "SAU-Time to prepare and pay taxes (hours)\n", + "Statistical=0.669, p=0.000\n", + "SAU-Time to resolve insolvency (years)\n", + "Statistical=0.403, p=0.000\n", + "SAU-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.661, p=0.000\n", + "SAU-Total fisheries production (metric tons)\n", + "Statistical=0.663, p=0.000\n", + "SAU-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.411, p=0.000\n", + "SAU-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.665, p=0.000\n", + "SAU-Total natural resources rents (% of GDP)\n", + "Statistical=0.839, p=0.000\n", + "SAU-Total reserves (includes gold, current US$)\n", + "Statistical=0.814, p=0.000\n", + "SAU-Total reserves in months of imports\n", + "Statistical=0.707, p=0.000\n", + "SAU-Total reserves minus gold (current US$)\n", + "Statistical=0.770, p=0.000\n", + "SAU-Total tax and contribution rate (% of profit)\n", + "Statistical=0.886, p=0.003\n", + "SAU-Trade (% of GDP)\n", + "Statistical=0.832, p=0.000\n", + "SAU-Trade in services (% of GDP)\n", + "Statistical=0.868, p=0.001\n", + "SAU-Transport services (% of commercial service exports)\n", + "Statistical=0.801, p=0.000\n", + "SAU-Transport services (% of commercial service imports)\n", + "Statistical=0.837, p=0.000\n", + "SAU-Transport services (% of service exports, BoP)\n", + "Statistical=0.851, p=0.000\n", + "SAU-Transport services (% of service imports, BoP)\n", + "Statistical=0.922, p=0.024\n", + "SAU-Travel services (% of commercial service exports)\n", + "Statistical=0.842, p=0.000\n", + "SAU-Travel services (% of commercial service imports)\n", + "Statistical=0.898, p=0.006\n", + "SAU-Travel services (% of service exports, BoP)\n", + "Statistical=0.808, p=0.000\n", + "SAU-Travel services (% of service imports, BoP)\n", + "Statistical=0.808, p=0.000\n", + "SAU-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.834, p=0.000\n", + "SAU-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.834, p=0.000\n", + "SAU-UHC service coverage index\n", + "Statistical=0.838, p=0.000\n", + "SAU-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.780, p=0.000\n", + "SAU-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Urban land area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Urban population\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Urban population (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-GDP (current US$)+2\n", + "Statistical=0.690, p=0.000\n", + "SAU-GDP (current US$)+3\n", + "Statistical=0.629, p=0.000\n", + "SAU-GDP (current US$)+5\n", + "Statistical=0.956, p=0.216\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-GDP (current US$)+8\n", + "Statistical=0.965, p=0.366\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-GDP (current US$)+13\n", + "Statistical=0.909, p=0.011\n", + "SAU-GDP (current US$)+21\n", + "Statistical=0.909, p=0.011\n", + "SAU-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.879, p=0.002\n", + "SAU-Deposit interest rate (%)\n", + "Statistical=0.879, p=0.002\n", + "SAU-Other taxes (% of revenue)\n", + "Statistical=0.870, p=0.001\n", + "SAU-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.971, p=0.540\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Taxes on international trade (% of revenue)\n", + "Statistical=0.971, p=0.540\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.962, p=0.318\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Broad money (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Broad money growth (annual %)\n", + "Statistical=0.913, p=0.014\n", + "SAU-Broad money to total reserves ratio\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SAU-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.853, p=0.000\n", + "SAU-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.897, p=0.005\n", + "SAU-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.760, p=0.000\n", + "SAU-External health expenditure (% of current health expenditure)\n", + "Statistical=0.773, p=0.000\n", + "SAU-External health expenditure per capita (current US$)\n", + "Statistical=0.662, p=0.000\n", + "SAU-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.901, p=0.006\n", + "SAU-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.824, p=0.000\n", + "SAU-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.782, p=0.000\n", + "SAU-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.809, p=0.000\n", + "SAU-People practicing open defecation (% of population)\n", + "Statistical=0.696, p=0.000\n", + "SAU-Taxes on exports (% of tax revenue)\n", + "Statistical=0.811, p=0.000\n", + "SAU-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.898, p=0.006\n", + "SAU-Country\n", + "Statistical=0.755, p=0.000\n", + "SAU-Year\n", + "Statistical=0.776, p=0.000\n", + "SAU-Continent\n", + "Statistical=0.565, p=0.000\n", + "AZE-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Adjusted net national income (current US$)\n", + "Statistical=0.793, p=0.000\n", + "AZE-Adjusted net national income per capita (current US$)\n", + "Statistical=0.799, p=0.000\n", + "AZE-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.772, p=0.000\n", + "AZE-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.771, p=0.000\n", + "AZE-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.757, p=0.000\n", + "AZE-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.751, p=0.000\n", + "AZE-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.609, p=0.000\n", + "AZE-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.614, p=0.000\n", + "AZE-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.631, p=0.000\n", + "AZE-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.618, p=0.000\n", + "AZE-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.656, p=0.000\n", + "AZE-Age dependency ratio (% of working-age population)\n", + "Statistical=0.620, p=0.000\n", + "AZE-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.618, p=0.000\n", + "AZE-Agricultural land (% of land area)\n", + "Statistical=0.621, p=0.000\n", + "AZE-Agricultural land (sq. km)\n", + "Statistical=0.621, p=0.000\n", + "AZE-Agricultural methane emissions (% of total)\n", + "Statistical=0.903, p=0.007\n", + "AZE-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.943, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.864, p=0.001\n", + "AZE-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.822, p=0.000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "AZE-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.862, p=0.001\n", + "AZE-Aquaculture production (metric tons)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Arable land (% of land area)\n", + "Statistical=0.827, p=0.000\n", + "AZE-Arable land (hectares per person)\n", + "Statistical=0.860, p=0.001\n", + "AZE-Arable land (hectares)\n", + "Statistical=0.798, p=0.000\n", + "AZE-Armed forces personnel (% of total labor force)\n", + "Statistical=0.858, p=0.001\n", + "AZE-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.798, p=0.000\n", + "AZE-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.854, p=0.001\n", + "AZE-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.894, p=0.004\n", + "AZE-Average precipitation in depth (mm per year)\n", + "Statistical=0.878, p=0.002\n", + "AZE-Average time to clear exports through customs (days)\n", + "Statistical=0.882, p=0.002\n", + "AZE-Births attended by skilled health staff (% of total)\n", + "Statistical=0.908, p=0.010\n", + "AZE-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.843, p=0.000\n", + "AZE-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.924, p=0.027\n", + "AZE-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.842, p=0.000\n", + "AZE-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.920, p=0.021\n", + "AZE-CO2 emissions (kt)\n", + "Statistical=0.737, p=0.000\n", + "AZE-CO2 emissions (metric tons per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.913, p=0.014\n", + "AZE-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.903, p=0.008\n", + "AZE-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.815, p=0.000\n", + "AZE-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.752, p=0.000\n", + "AZE-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.895, p=0.005\n", + "AZE-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.647, p=0.000\n", + "AZE-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.639, p=0.000\n", + "AZE-Capture fisheries production (metric tons)\n", + "Statistical=0.663, p=0.000\n", + "AZE-Cereal production (metric tons)\n", + "Statistical=0.836, p=0.000\n", + "AZE-Cereal yield (kg per hectare)\n", + "Statistical=0.952, p=0.163\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Changes in inventories (current US$)\n", + "Statistical=0.815, p=0.000\n", + "AZE-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.664, p=0.000\n", + "AZE-Children out of school (% of primary school age)\n", + "Statistical=0.684, p=0.000\n", + "AZE-Coal rents (% of GDP)\n", + "Statistical=0.703, p=0.000\n", + "AZE-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.884, p=0.002\n", + "AZE-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.874, p=0.001\n", + "AZE-Commercial service exports (current US$)\n", + "Statistical=0.801, p=0.000\n", + "AZE-Commercial service imports (current US$)\n", + "Statistical=0.865, p=0.001\n", + "AZE-Completeness of birth registration (%)\n", + "Statistical=0.837, p=0.000\n", + "AZE-Consumer price index (2010 = 100)\n", + "Statistical=0.930, p=0.039\n", + "AZE-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.804, p=0.000\n", + "AZE-Crop production index (2014-2016 = 100)\n", + "Statistical=0.902, p=0.007\n", + "AZE-Current account balance (% of GDP)\n", + "Statistical=0.821, p=0.000\n", + "AZE-Current account balance (BoP, current US$)\n", + "Statistical=0.965, p=0.375\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Current health expenditure (% of GDP)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Current health expenditure per capita (current US$)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.902, p=0.007\n", + "AZE-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.906, p=0.009\n", + "AZE-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.951, p=0.156\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.931, p=0.041\n", + "AZE-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.933, p=0.046\n", + "AZE-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.923, p=0.025\n", + "AZE-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.920, p=0.021\n", + "AZE-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.909, p=0.011\n", + "AZE-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.918, p=0.018\n", + "AZE-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.963, p=0.334\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.947, p=0.119\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.947, p=0.119\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.913, p=0.014\n", + "AZE-Electric power consumption (kWh per capita)\n", + "Statistical=0.919, p=0.020\n", + "AZE-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.903, p=0.007\n", + "AZE-Electricity production from coal sources (% of total)\n", + "Statistical=0.918, p=0.019\n", + "AZE-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.902, p=0.007\n", + "AZE-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.685, p=0.000\n", + "AZE-Electricity production from nuclear sources (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Electricity production from oil sources (% of total)\n", + "Statistical=0.774, p=0.000\n", + "AZE-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.743, p=0.000\n", + "AZE-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.920, p=0.021\n", + "AZE-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Energy related methane emissions (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Energy use (kg of oil equivalent per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.915, p=0.015\n", + "AZE-Export unit value index (2000 = 100)\n", + "Statistical=0.854, p=0.001\n", + "AZE-Export value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Export volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Exports of goods and services (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.920, p=0.020\n", + "AZE-Exports of goods and services (current US$)\n", + "Statistical=0.797, p=0.000\n", + "AZE-External balance on goods and services (% of GDP)\n", + "Statistical=0.915, p=0.016\n", + "AZE-External balance on goods and services (current US$)\n", + "Statistical=0.962, p=0.307\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.718, p=0.000\n", + "AZE-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.832, p=0.000\n", + "AZE-Final consumption expenditure (% of GDP)\n", + "Statistical=0.831, p=0.000\n", + "AZE-Final consumption expenditure (current US$)\n", + "Statistical=0.824, p=0.000\n", + "AZE-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.951, p=0.157\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Firms offering formal training (% of firms)\n", + "Statistical=0.895, p=0.005\n", + "AZE-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.910, p=0.011\n", + "AZE-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.876, p=0.002\n", + "AZE-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.884, p=0.003\n", + "AZE-Fixed broadband subscriptions\n", + "Statistical=0.848, p=0.000\n", + "AZE-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.815, p=0.000\n", + "AZE-Fixed telephone subscriptions\n", + "Statistical=0.751, p=0.000\n", + "AZE-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Food exports (% of merchandise exports)\n", + "Statistical=0.934, p=0.050\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Food imports (% of merchandise imports)\n", + "Statistical=0.859, p=0.001\n", + "AZE-Food production index (2014-2016 = 100)\n", + "Statistical=0.886, p=0.003\n", + "AZE-Forest area (% of land area)\n", + "Statistical=0.855, p=0.001\n", + "AZE-Forest area (sq. km)\n", + "Statistical=0.830, p=0.000\n", + "AZE-Forest rents (% of GDP)\n", + "Statistical=0.789, p=0.000\n", + "AZE-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.836, p=0.000\n", + "AZE-Fuel exports (% of merchandise exports)\n", + "Statistical=0.799, p=0.000\n", + "AZE-Fuel imports (% of merchandise imports)\n", + "Statistical=0.843, p=0.000\n", + "AZE-GDP (current US$)\n", + "Statistical=0.915, p=0.015\n", + "AZE-GDP deflator (base year varies by country)\n", + "Statistical=0.903, p=0.007\n", + "AZE-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.881, p=0.002\n", + "AZE-GDP growth (annual %)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-GDP per capita (current US$)\n", + "Statistical=0.751, p=0.000\n", + "AZE-GDP per capita growth (annual %)\n", + "Statistical=0.734, p=0.000\n", + "AZE-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.889, p=0.003\n", + "AZE-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.931, p=0.043\n", + "AZE-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.954, p=0.193\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.908, p=0.010\n", + "AZE-GNI (current US$)\n", + "Statistical=0.890, p=0.003\n", + "AZE-GNI growth (annual %)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-GNI per capita growth (annual %)\n", + "Statistical=0.919, p=0.019\n", + "AZE-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.960, p=0.269\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-General government final consumption expenditure (current US$)\n", + "Statistical=0.924, p=0.026\n", + "AZE-Gini index\n", + "Statistical=0.922, p=0.023\n", + "AZE-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Goods imports (BoP, current US$)\n", + "Statistical=0.797, p=0.000\n", + "AZE-Grants and other revenue (% of revenue)\n", + "Statistical=0.755, p=0.000\n", + "AZE-Gross capital formation (% of GDP)\n", + "Statistical=0.800, p=0.000\n", + "AZE-Gross capital formation (current US$)\n", + "Statistical=0.878, p=0.002\n", + "AZE-Gross domestic savings (% of GDP)\n", + "Statistical=0.906, p=0.009\n", + "AZE-Gross domestic savings (current US$)\n", + "Statistical=0.905, p=0.008\n", + "AZE-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Gross national expenditure (current US$)\n", + "Statistical=0.565, p=0.000\n", + "AZE-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.887, p=0.003\n", + "AZE-Gross savings (% of GDP)\n", + "Statistical=0.903, p=0.007\n", + "AZE-Gross savings (current US$)\n", + "Statistical=0.941, p=0.081\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.857, p=0.001\n", + "AZE-High-technology exports (% of manufactured exports)\n", + "Statistical=0.793, p=0.000\n", + "AZE-High-technology exports (current US$)\n", + "Statistical=0.967, p=0.422\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Hospital beds (per 1,000 people)\n", + "Statistical=0.893, p=0.004\n", + "AZE-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.918, p=0.019\n", + "AZE-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.735, p=0.000\n", + "AZE-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.735, p=0.000\n", + "AZE-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.735, p=0.000\n", + "AZE-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=0.478, p=0.000\n", + "AZE-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.952, p=0.170\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.948, p=0.125\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.759, p=0.000\n", + "AZE-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-ICT goods exports (% of total goods exports)\n", + "Statistical=0.525, p=0.000\n", + "AZE-ICT goods imports (% total goods imports)\n", + "Statistical=0.871, p=0.001\n", + "AZE-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.904, p=0.008\n", + "AZE-ICT service exports (BoP, current US$)\n", + "Statistical=0.806, p=0.000\n", + "AZE-Import unit value index (2000 = 100)\n", + "Statistical=0.782, p=0.000\n", + "AZE-Import value index (2000 = 100)\n", + "Statistical=0.933, p=0.048\n", + "AZE-Import volume index (2000 = 100)\n", + "Statistical=0.812, p=0.000\n", + "AZE-Imports of goods and services (% of GDP)\n", + "Statistical=0.891, p=0.004\n", + "AZE-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.922, p=0.023\n", + "AZE-Imports of goods and services (current US$)\n", + "Statistical=0.875, p=0.002\n", + "AZE-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=0.391, p=0.000\n", + "AZE-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "AZE-Income share held by highest 10%\n", + "Statistical=0.676, p=0.000\n", + "AZE-Income share held by highest 20%\n", + "Statistical=0.743, p=0.000\n", + "AZE-Income share held by lowest 10%\n", + "Statistical=0.392, p=0.000\n", + "AZE-Income share held by lowest 20%\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Income share held by second 20%\n", + "Statistical=0.837, p=0.000\n", + "AZE-Income share held by third 20%\n", + "Statistical=0.828, p=0.000\n", + "AZE-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.888, p=0.003\n", + "AZE-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.816, p=0.000\n", + "AZE-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.795, p=0.000\n", + "AZE-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.833, p=0.000\n", + "AZE-Individuals using the Internet (% of population)\n", + "Statistical=0.790, p=0.000\n", + "AZE-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.755, p=0.000\n", + "AZE-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.439, p=0.000\n", + "AZE-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.733, p=0.000\n", + "AZE-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.730, p=0.000\n", + "AZE-Intentional homicides (per 100,000 people)\n", + "Statistical=0.748, p=0.000\n", + "AZE-Interest payments (% of revenue)\n", + "Statistical=0.723, p=0.000\n", + "AZE-International migrant stock (% of population)\n", + "Statistical=0.719, p=0.000\n", + "AZE-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.713, p=0.000\n", + "AZE-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.726, p=0.000\n", + "AZE-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.781, p=0.000\n", + "AZE-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.683, p=0.000\n", + "AZE-Land area (sq. km)\n", + "Statistical=0.831, p=0.000\n", + "AZE-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.708, p=0.000\n", + "AZE-Land under cereal production (hectares)\n", + "Statistical=0.675, p=0.000\n", + "AZE-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.959, p=0.256\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Lifetime risk of maternal death (%)\n", + "Statistical=0.891, p=0.004\n", + "AZE-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.915, p=0.015\n", + "AZE-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.839, p=0.000\n", + "AZE-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.833, p=0.000\n", + "AZE-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.904, p=0.008\n", + "AZE-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.874, p=0.001\n", + "AZE-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Low-birthweight babies (% of births)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Lower secondary school starting age (years)\n", + "Statistical=0.933, p=0.047\n", + "AZE-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.959, p=0.256\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.865, p=0.001\n", + "AZE-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.906, p=0.009\n", + "AZE-Marine protected areas (% of territorial waters)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.839, p=0.000\n", + "AZE-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.843, p=0.000\n", + "AZE-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.846, p=0.000\n", + "AZE-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.808, p=0.000\n", + "AZE-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.893, p=0.004\n", + "AZE-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.821, p=0.000\n", + "AZE-Merchandise exports (current US$)\n", + "Statistical=0.860, p=0.001\n", + "AZE-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.819, p=0.000\n", + "AZE-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.875, p=0.002\n", + "AZE-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.822, p=0.000\n", + "AZE-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.918, p=0.018\n", + "AZE-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.684, p=0.000\n", + "AZE-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.923, p=0.025\n", + "AZE-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.660, p=0.000\n", + "AZE-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.899, p=0.006\n", + "AZE-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.665, p=0.000\n", + "AZE-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.851, p=0.000\n", + "AZE-Merchandise imports (current US$)\n", + "Statistical=0.748, p=0.000\n", + "AZE-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.783, p=0.000\n", + "AZE-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.840, p=0.000\n", + "AZE-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.836, p=0.000\n", + "AZE-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.887, p=0.003\n", + "AZE-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.834, p=0.000\n", + "AZE-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.846, p=0.000\n", + "AZE-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.773, p=0.000\n", + "AZE-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.773, p=0.000\n", + "AZE-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.975, p=0.635\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.844, p=0.000\n", + "AZE-Merchandise trade (% of GDP)\n", + "Statistical=0.925, p=0.029\n", + "AZE-Methane emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.771, p=0.000\n", + "AZE-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.851, p=0.000\n", + "AZE-Military expenditure (% of GDP)\n", + "Statistical=0.851, p=0.000\n", + "AZE-Military expenditure (% of general government expenditure)\n", + "Statistical=0.843, p=0.000\n", + "AZE-Military expenditure (current USD)\n", + "Statistical=0.960, p=0.266\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Mineral rents (% of GDP)\n", + "Statistical=0.757, p=0.000\n", + "AZE-Mobile cellular subscriptions\n", + "Statistical=0.791, p=0.000\n", + "AZE-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.766, p=0.000\n", + "AZE-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.900, p=0.006\n", + "AZE-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.809, p=0.000\n", + "AZE-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.886, p=0.003\n", + "AZE-Natural gas rents (% of GDP)\n", + "Statistical=0.913, p=0.014\n", + "AZE-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.498, p=0.000\n", + "AZE-Net capital account (BoP, current US$)\n", + "Statistical=0.903, p=0.007\n", + "AZE-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Net financial account (BoP, current US$)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Net migration\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Net primary income (BoP, current US$)\n", + "Statistical=0.792, p=0.000\n", + "AZE-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.826, p=0.000\n", + "AZE-Net secondary income (BoP, current US$)\n", + "Statistical=0.845, p=0.000\n", + "AZE-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.765, p=0.000\n", + "AZE-Net trade in goods (BoP, current US$)\n", + "Statistical=0.794, p=0.000\n", + "AZE-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.794, p=0.000\n", + "AZE-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.791, p=0.000\n", + "AZE-New businesses registered (number)\n", + "Statistical=0.741, p=0.000\n", + "AZE-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.674, p=0.000\n", + "AZE-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.669, p=0.000\n", + "AZE-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.849, p=0.000\n", + "AZE-Number of deaths ages 10-14 years\n", + "Statistical=0.867, p=0.001\n", + "AZE-Number of deaths ages 15-19 years\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Number of deaths ages 20-24 years\n", + "Statistical=0.917, p=0.018\n", + "AZE-Number of deaths ages 5-9 years\n", + "Statistical=0.933, p=0.046\n", + "AZE-Number of infant deaths\n", + "Statistical=0.808, p=0.000\n", + "AZE-Number of maternal deaths\n", + "Statistical=0.933, p=0.048\n", + "AZE-Number of neonatal deaths\n", + "Statistical=0.849, p=0.000\n", + "AZE-Number of under-five deaths\n", + "Statistical=0.865, p=0.001\n", + "AZE-Nurses and midwives (per 1,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Official exchange rate (LCU per US$, period average)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Oil rents (% of GDP)\n", + "Statistical=0.958, p=0.243\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.925, p=0.028\n", + "AZE-Ores and metals imports (% of merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.914, p=0.015\n", + "AZE-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.842, p=0.000\n", + "AZE-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.857, p=0.001\n", + "AZE-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.818, p=0.000\n", + "AZE-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.818, p=0.000\n", + "AZE-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.841, p=0.000\n", + "AZE-People using at least basic drinking water services (% of population)\n", + "Statistical=0.854, p=0.001\n", + "AZE-People using at least basic sanitation services (% of population)\n", + "Statistical=0.931, p=0.042\n", + "AZE-People using safely managed sanitation services (% of population)\n", + "Statistical=0.931, p=0.042\n", + "AZE-Permanent cropland (% of land area)\n", + "Statistical=0.922, p=0.024\n", + "AZE-Physicians (per 1,000 people)\n", + "Statistical=0.819, p=0.000\n", + "AZE-Population ages 0-14 (% of total population)\n", + "Statistical=0.819, p=0.000\n", + "AZE-Population ages 15-64 (% of total population)\n", + "Statistical=0.843, p=0.000\n", + "AZE-Population ages 65 and above (% of total population)\n", + "Statistical=0.862, p=0.001\n", + "AZE-Population density (people per sq. km of land area)\n", + "Statistical=0.927, p=0.032\n", + "AZE-Population growth (annual %)\n", + "Statistical=0.819, p=0.000\n", + "AZE-Population in largest city\n", + "Statistical=0.831, p=0.000\n", + "AZE-Population in the largest city (% of urban population)\n", + "Statistical=0.817, p=0.000\n", + "AZE-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.774, p=0.000\n", + "AZE-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.791, p=0.000\n", + "AZE-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.818, p=0.000\n", + "AZE-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.821, p=0.000\n", + "AZE-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.841, p=0.000\n", + "AZE-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Pregnant women receiving prenatal care (%)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.770, p=0.000\n", + "AZE-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.838, p=0.000\n", + "AZE-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.849, p=0.000\n", + "AZE-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.853, p=0.000\n", + "AZE-Prevalence of current tobacco use (% of adults)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.772, p=0.000\n", + "AZE-Prevalence of undernourishment (% of population)\n", + "Statistical=0.843, p=0.000\n", + "AZE-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.859, p=0.001\n", + "AZE-Primary income payments (BoP, current US$)\n", + "Statistical=0.861, p=0.001\n", + "AZE-Primary income receipts (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Primary school starting age (years)\n", + "Statistical=0.819, p=0.000\n", + "AZE-Private credit bureau coverage (% of adults)\n", + "Statistical=0.849, p=0.000\n", + "AZE-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.816, p=0.000\n", + "AZE-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.838, p=0.000\n", + "AZE-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.952, p=0.166\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Procedures to build a warehouse (number)\n", + "Statistical=0.906, p=0.009\n", + "AZE-Procedures to register property (number)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Profit tax (% of commercial profits)\n", + "Statistical=0.755, p=0.000\n", + "AZE-Progression to secondary school (%)\n", + "Statistical=0.847, p=0.000\n", + "AZE-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.845, p=0.000\n", + "AZE-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.684, p=0.000\n", + "AZE-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.844, p=0.000\n", + "AZE-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.839, p=0.000\n", + "AZE-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.949, p=0.137\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.841, p=0.000\n", + "AZE-Public credit registry coverage (% of adults)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.739, p=0.000\n", + "AZE-Rail lines (total route-km)\n", + "Statistical=0.847, p=0.000\n", + "AZE-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.887, p=0.003\n", + "AZE-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.954, p=0.192\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Refugee population by country or territory of asylum\n", + "Statistical=0.963, p=0.322\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Refugee population by country or territory of origin\n", + "Statistical=0.871, p=0.001\n", + "AZE-Renewable electricity output (% of total electricity output)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.818, p=0.000\n", + "AZE-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.842, p=0.000\n", + "AZE-Research and development expenditure (% of GDP)\n", + "Statistical=0.896, p=0.005\n", + "AZE-Researchers in R&D (per million people)\n", + "Statistical=0.758, p=0.000\n", + "AZE-Reserves and related items (BoP, current US$)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.819, p=0.000\n", + "AZE-Rural land area (sq. km)\n", + "Statistical=0.826, p=0.000\n", + "AZE-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.980, p=0.802\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Rural population\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Rural population (% of total population)\n", + "Statistical=0.824, p=0.000\n", + "AZE-Rural population growth (annual %)\n", + "Statistical=0.839, p=0.000\n", + "AZE-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.893, p=0.004\n", + "AZE-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.963, p=0.334\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Scientific and technical journal articles\n", + "Statistical=0.954, p=0.192\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Secure Internet servers\n", + "Statistical=0.944, p=0.097\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Secure Internet servers (per 1 million people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Service exports (BoP, current US$)\n", + "Statistical=0.797, p=0.000\n", + "AZE-Service imports (BoP, current US$)\n", + "Statistical=0.837, p=0.000\n", + "AZE-Sex ratio at birth (male births per female births)\n", + "Statistical=0.873, p=0.001\n", + "AZE-Social contributions (% of revenue)\n", + "Statistical=0.776, p=0.000\n", + "AZE-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.921, p=0.022\n", + "AZE-Start-up procedures to register a business (number)\n", + "Statistical=0.925, p=0.028\n", + "AZE-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.817, p=0.000\n", + "AZE-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.823, p=0.000\n", + "AZE-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.794, p=0.000\n", + "AZE-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.794, p=0.000\n", + "AZE-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.839, p=0.000\n", + "AZE-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.854, p=0.001\n", + "AZE-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.821, p=0.000\n", + "AZE-Surface area (sq. km)\n", + "Statistical=0.794, p=0.000\n", + "AZE-Tax payments (number)\n", + "Statistical=0.840, p=0.000\n", + "AZE-Tax revenue (% of GDP)\n", + "Statistical=0.932, p=0.043\n", + "AZE-Taxes less subsidies on products (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Taxes on goods and services (% of revenue)\n", + "Statistical=0.803, p=0.000\n", + "AZE-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.823, p=0.000\n", + "AZE-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.846, p=0.000\n", + "AZE-Terrestrial protected areas (% of total land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Time required to build a warehouse (days)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Time required to enforce a contract (days)\n", + "Statistical=0.843, p=0.000\n", + "AZE-Time required to get electricity (days)\n", + "Statistical=0.958, p=0.248\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Time required to register property (days)\n", + "Statistical=0.823, p=0.000\n", + "AZE-Time required to start a business (days)\n", + "Statistical=0.672, p=0.000\n", + "AZE-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.674, p=0.000\n", + "AZE-Time to obtain an electrical connection (days)\n", + "Statistical=0.674, p=0.000\n", + "AZE-Time to prepare and pay taxes (hours)\n", + "Statistical=0.674, p=0.000\n", + "AZE-Time to resolve insolvency (years)\n", + "Statistical=0.671, p=0.000\n", + "AZE-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.671, p=0.000\n", + "AZE-Total fisheries production (metric tons)\n", + "Statistical=0.671, p=0.000\n", + "AZE-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.671, p=0.000\n", + "AZE-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.672, p=0.000\n", + "AZE-Total natural resources rents (% of GDP)\n", + "Statistical=0.839, p=0.000\n", + "AZE-Total reserves (includes gold, current US$)\n", + "Statistical=0.857, p=0.001\n", + "AZE-Total reserves in months of imports\n", + "Statistical=0.949, p=0.132\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Total reserves minus gold (current US$)\n", + "Statistical=0.873, p=0.001\n", + "AZE-Total tax and contribution rate (% of profit)\n", + "Statistical=0.933, p=0.048\n", + "AZE-Trade (% of GDP)\n", + "Statistical=0.761, p=0.000\n", + "AZE-Trade in services (% of GDP)\n", + "Statistical=0.898, p=0.006\n", + "AZE-Transport services (% of commercial service exports)\n", + "Statistical=0.806, p=0.000\n", + "AZE-Transport services (% of commercial service imports)\n", + "Statistical=0.866, p=0.001\n", + "AZE-Transport services (% of service exports, BoP)\n", + "Statistical=0.865, p=0.001\n", + "AZE-Transport services (% of service imports, BoP)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Travel services (% of commercial service exports)\n", + "Statistical=0.843, p=0.000\n", + "AZE-Travel services (% of commercial service imports)\n", + "Statistical=0.919, p=0.019\n", + "AZE-Travel services (% of service exports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Travel services (% of service imports, BoP)\n", + "Statistical=0.834, p=0.000\n", + "AZE-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.836, p=0.000\n", + "AZE-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.864, p=0.001\n", + "AZE-UHC service coverage index\n", + "Statistical=0.842, p=0.000\n", + "AZE-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.896, p=0.005\n", + "AZE-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.747, p=0.000\n", + "AZE-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.783, p=0.000\n", + "AZE-Urban land area (sq. km)\n", + "Statistical=0.742, p=0.000\n", + "AZE-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.658, p=0.000\n", + "AZE-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.649, p=0.000\n", + "AZE-Urban population\n", + "Statistical=0.700, p=0.000\n", + "AZE-Urban population (% of total population)\n", + "Statistical=0.789, p=0.000\n", + "AZE-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.668, p=0.000\n", + "AZE-GDP (current US$)+1\n", + "Statistical=0.668, p=0.000\n", + "AZE-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-GDP (current US$)+2\n", + "Statistical=0.709, p=0.000\n", + "AZE-GDP (current US$)+3\n", + "Statistical=0.836, p=0.000\n", + "AZE-GDP (current US$)+5\n", + "Statistical=0.961, p=0.286\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-GDP (current US$)+8\n", + "Statistical=0.912, p=0.012\n", + "AZE-GDP (current US$)+13\n", + "Statistical=0.795, p=0.000\n", + "AZE-GDP (current US$)+21\n", + "Statistical=0.795, p=0.000\n", + "AZE-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.834, p=0.000\n", + "AZE-Deposit interest rate (%)\n", + "Statistical=0.849, p=0.000\n", + "AZE-Other taxes (% of revenue)\n", + "Statistical=0.875, p=0.002\n", + "AZE-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Taxes on international trade (% of revenue)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "AZE-Broad money (% of GDP)\n", + "Statistical=0.894, p=0.004\n", + "AZE-Broad money growth (annual %)\n", + "Statistical=0.914, p=0.015\n", + "AZE-Broad money to total reserves ratio\n", + "Statistical=0.903, p=0.007\n", + "AZE-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.916, p=0.016\n", + "AZE-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.714, p=0.000\n", + "AZE-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.892, p=0.004\n", + "AZE-External health expenditure (% of current health expenditure)\n", + "Statistical=0.750, p=0.000\n", + "AZE-External health expenditure per capita (current US$)\n", + "Statistical=0.567, p=0.000\n", + "AZE-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.902, p=0.007\n", + "AZE-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.883, p=0.002\n", + "AZE-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.902, p=0.007\n", + "AZE-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.701, p=0.000\n", + "AZE-People practicing open defecation (% of population)\n", + "Statistical=0.814, p=0.000\n", + "AZE-Taxes on exports (% of tax revenue)\n", + "Statistical=0.692, p=0.000\n", + "AZE-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.918, p=0.018\n", + "AZE-Country\n", + "Statistical=0.887, p=0.003\n", + "AZE-Year\n", + "Statistical=0.697, p=0.000\n", + "AZE-Continent\n", + "Statistical=0.793, p=0.000\n", + "YEM-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Adjusted net national income (current US$)\n", + "Statistical=0.834, p=0.000\n", + "YEM-Adjusted net national income per capita (current US$)\n", + "Statistical=0.900, p=0.006\n", + "YEM-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.807, p=0.000\n", + "YEM-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.932, p=0.044\n", + "YEM-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.897, p=0.005\n", + "YEM-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.930, p=0.039\n", + "YEM-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.603, p=0.000\n", + "YEM-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.603, p=0.000\n", + "YEM-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.603, p=0.000\n", + "YEM-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.603, p=0.000\n", + "YEM-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.603, p=0.000\n", + "YEM-Age dependency ratio (% of working-age population)\n", + "Statistical=0.603, p=0.000\n", + "YEM-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.603, p=0.000\n", + "YEM-Agricultural land (% of land area)\n", + "Statistical=0.603, p=0.000\n", + "YEM-Agricultural land (sq. km)\n", + "Statistical=0.603, p=0.000\n", + "YEM-Agricultural methane emissions (% of total)\n", + "Statistical=0.802, p=0.000\n", + "YEM-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.797, p=0.000\n", + "YEM-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.807, p=0.000\n", + "YEM-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.880, p=0.002\n", + "YEM-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Aquaculture production (metric tons)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Arable land (% of land area)\n", + "Statistical=0.905, p=0.008\n", + "YEM-Arable land (hectares per person)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Arable land (hectares)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Armed forces personnel (% of total labor force)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Arms exports (SIPRI trend indicator values)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.959, p=0.258\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.960, p=0.274\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Average precipitation in depth (mm per year)\n", + "Statistical=0.950, p=0.145\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Average time to clear exports through customs (days)\n", + "Statistical=0.874, p=0.001\n", + "YEM-Births attended by skilled health staff (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.901, p=0.006\n", + "YEM-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.908, p=0.010\n", + "YEM-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.898, p=0.005\n", + "YEM-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-CO2 emissions (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-CO2 emissions (metric tons per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.908, p=0.010\n", + "YEM-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.866, p=0.001\n", + "YEM-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.917, p=0.017\n", + "YEM-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.873, p=0.001\n", + "YEM-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.715, p=0.000\n", + "YEM-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.805, p=0.000\n", + "YEM-Capture fisheries production (metric tons)\n", + "Statistical=0.650, p=0.000\n", + "YEM-Cereal production (metric tons)\n", + "Statistical=0.892, p=0.004\n", + "YEM-Cereal yield (kg per hectare)\n", + "Statistical=0.858, p=0.001\n", + "YEM-Changes in inventories (current US$)\n", + "Statistical=0.898, p=0.006\n", + "YEM-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.666, p=0.000\n", + "YEM-Children out of school (% of primary school age)\n", + "Statistical=0.922, p=0.023\n", + "YEM-Coal rents (% of GDP)\n", + "Statistical=0.922, p=0.023\n", + "YEM-Combustible renewables and waste (% of total energy)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.652, p=0.000\n", + "YEM-Commercial service exports (current US$)\n", + "Statistical=0.640, p=0.000\n", + "YEM-Commercial service imports (current US$)\n", + "Statistical=0.872, p=0.001\n", + "YEM-Completeness of birth registration (%)\n", + "Statistical=0.697, p=0.000\n", + "YEM-Consumer price index (2010 = 100)\n", + "Statistical=0.866, p=0.001\n", + "YEM-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.831, p=0.000\n", + "YEM-Crop production index (2014-2016 = 100)\n", + "Statistical=0.808, p=0.000\n", + "YEM-Current account balance (% of GDP)\n", + "Statistical=0.898, p=0.006\n", + "YEM-Current account balance (BoP, current US$)\n", + "Statistical=0.979, p=0.775\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Current health expenditure (% of GDP)\n", + "Statistical=0.967, p=0.418\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Current health expenditure per capita (current US$)\n", + "Statistical=0.967, p=0.418\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.903, p=0.007\n", + "YEM-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.888, p=0.003\n", + "YEM-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.911, p=0.012\n", + "YEM-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.813, p=0.000\n", + "YEM-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.966, p=0.387\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.909, p=0.011\n", + "YEM-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.749, p=0.000\n", + "YEM-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.751, p=0.000\n", + "YEM-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.749, p=0.000\n", + "YEM-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.756, p=0.000\n", + "YEM-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.756, p=0.000\n", + "YEM-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Electric power consumption (kWh per capita)\n", + "Statistical=0.897, p=0.005\n", + "YEM-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.901, p=0.007\n", + "YEM-Electricity production from coal sources (% of total)\n", + "Statistical=0.897, p=0.005\n", + "YEM-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.757, p=0.000\n", + "YEM-Electricity production from nuclear sources (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Electricity production from oil sources (% of total)\n", + "Statistical=0.820, p=0.000\n", + "YEM-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.751, p=0.000\n", + "YEM-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.622, p=0.000\n", + "YEM-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.917, p=0.018\n", + "YEM-Export unit value index (2000 = 100)\n", + "Statistical=0.885, p=0.003\n", + "YEM-Export value index (2000 = 100)\n", + "Statistical=0.438, p=0.000\n", + "YEM-Export volume index (2000 = 100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Exports of goods and services (% of GDP)\n", + "Statistical=0.438, p=0.000\n", + "YEM-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.790, p=0.000\n", + "YEM-Exports of goods and services (current US$)\n", + "Statistical=0.832, p=0.000\n", + "YEM-External balance on goods and services (% of GDP)\n", + "Statistical=0.889, p=0.003\n", + "YEM-External balance on goods and services (current US$)\n", + "Statistical=0.908, p=0.010\n", + "YEM-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.949, p=0.131\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Final consumption expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Final consumption expenditure (current US$)\n", + "Statistical=0.908, p=0.010\n", + "YEM-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.902, p=0.007\n", + "YEM-Firms offering formal training (% of firms)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.961, p=0.297\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Firms using banks to finance working capital (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Firms with female participation in ownership (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Fixed broadband subscriptions\n", + "Statistical=0.847, p=0.000\n", + "YEM-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.909, p=0.010\n", + "YEM-Fixed telephone subscriptions\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Food exports (% of merchandise exports)\n", + "Statistical=0.862, p=0.001\n", + "YEM-Food imports (% of merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Food production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Forest area (% of land area)\n", + "Statistical=0.919, p=0.020\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "YEM-Forest area (sq. km)\n", + "Statistical=0.931, p=0.041\n", + "YEM-Forest rents (% of GDP)\n", + "Statistical=0.929, p=0.037\n", + "YEM-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.835, p=0.000\n", + "YEM-Fuel exports (% of merchandise exports)\n", + "Statistical=0.780, p=0.000\n", + "YEM-Fuel imports (% of merchandise imports)\n", + "Statistical=0.666, p=0.000\n", + "YEM-GDP (current US$)\n", + "Statistical=0.955, p=0.196\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-GDP deflator (base year varies by country)\n", + "Statistical=0.883, p=0.002\n", + "YEM-GDP deflator: linked series (base year varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-GDP growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-GDP per capita (current US$)\n", + "Statistical=0.678, p=0.000\n", + "YEM-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.876, p=0.002\n", + "YEM-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.803, p=0.000\n", + "YEM-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.797, p=0.000\n", + "YEM-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.810, p=0.000\n", + "YEM-GNI (current US$)\n", + "Statistical=0.818, p=0.000\n", + "YEM-GNI growth (annual %)\n", + "Statistical=0.800, p=0.000\n", + "YEM-GNI per capita growth (annual %)\n", + "Statistical=0.815, p=0.000\n", + "YEM-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.923, p=0.024\n", + "YEM-General government final consumption expenditure (current US$)\n", + "Statistical=0.912, p=0.013\n", + "YEM-Gini index\n", + "Statistical=0.914, p=0.014\n", + "YEM-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Goods imports (BoP, current US$)\n", + "Statistical=0.789, p=0.000\n", + "YEM-Grants and other revenue (% of revenue)\n", + "Statistical=0.865, p=0.001\n", + "YEM-Gross capital formation (% of GDP)\n", + "Statistical=0.607, p=0.000\n", + "YEM-Gross capital formation (current US$)\n", + "Statistical=0.752, p=0.000\n", + "YEM-Gross domestic savings (% of GDP)\n", + "Statistical=0.852, p=0.000\n", + "YEM-Gross domestic savings (current US$)\n", + "Statistical=0.734, p=0.000\n", + "YEM-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.748, p=0.000\n", + "YEM-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.800, p=0.000\n", + "YEM-Gross savings (% of GDP)\n", + "Statistical=0.876, p=0.002\n", + "YEM-Gross savings (current US$)\n", + "Statistical=0.860, p=0.001\n", + "YEM-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.894, p=0.004\n", + "YEM-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.802, p=0.000\n", + "YEM-High-technology exports (% of manufactured exports)\n", + "Statistical=0.853, p=0.000\n", + "YEM-High-technology exports (current US$)\n", + "Statistical=0.878, p=0.002\n", + "YEM-Hospital beds (per 1,000 people)\n", + "Statistical=0.921, p=0.022\n", + "YEM-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.857, p=0.001\n", + "YEM-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.753, p=0.000\n", + "YEM-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.753, p=0.000\n", + "YEM-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.753, p=0.000\n", + "YEM-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.957, p=0.223\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.771, p=0.000\n", + "YEM-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.768, p=0.000\n", + "YEM-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-ICT goods exports (% of total goods exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-ICT goods imports (% total goods imports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.881, p=0.002\n", + "YEM-ICT service exports (BoP, current US$)\n", + "Statistical=0.787, p=0.000\n", + "YEM-Import unit value index (2000 = 100)\n", + "Statistical=0.895, p=0.005\n", + "YEM-Import value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Import volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Imports of goods and services (% of GDP)\n", + "Statistical=0.921, p=0.023\n", + "YEM-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.836, p=0.000\n", + "YEM-Imports of goods and services (current US$)\n", + "Statistical=0.833, p=0.000\n", + "YEM-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "YEM-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Income share held by lowest 10%\n", + "Statistical=0.954, p=0.187\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Income share held by lowest 20%\n", + "Statistical=0.954, p=0.187\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Income share held by second 20%\n", + "Statistical=0.815, p=0.000\n", + "YEM-Income share held by third 20%\n", + "Statistical=0.819, p=0.000\n", + "YEM-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.812, p=0.000\n", + "YEM-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.698, p=0.000\n", + "YEM-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.796, p=0.000\n", + "YEM-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.805, p=0.000\n", + "YEM-Individuals using the Internet (% of population)\n", + "Statistical=0.784, p=0.000\n", + "YEM-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.861, p=0.001\n", + "YEM-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.494, p=0.000\n", + "YEM-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Intentional homicides (per 100,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Interest payments (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-International migrant stock (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Labor tax and contributions (% of commercial profits)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Land area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Land under cereal production (hectares)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.886, p=0.003\n", + "YEM-Lifetime risk of maternal death (%)\n", + "Statistical=0.910, p=0.011\n", + "YEM-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Livestock production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.625, p=0.000\n", + "YEM-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.819, p=0.000\n", + "YEM-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.948, p=0.123\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Low-birthweight babies (% of births)\n", + "Statistical=0.967, p=0.410\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Lower secondary school starting age (years)\n", + "Statistical=0.812, p=0.000\n", + "YEM-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.872, p=0.001\n", + "YEM-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.815, p=0.000\n", + "YEM-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Marine protected areas (% of territorial waters)\n", + "Statistical=0.854, p=0.001\n", + "YEM-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.878, p=0.002\n", + "YEM-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.893, p=0.004\n", + "YEM-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.924, p=0.027\n", + "YEM-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.866, p=0.001\n", + "YEM-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.757, p=0.000\n", + "YEM-Merchandise exports (current US$)\n", + "Statistical=0.870, p=0.001\n", + "YEM-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.840, p=0.000\n", + "YEM-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.859, p=0.001\n", + "YEM-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.804, p=0.000\n", + "YEM-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.862, p=0.001\n", + "YEM-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.628, p=0.000\n", + "YEM-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.802, p=0.000\n", + "YEM-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.628, p=0.000\n", + "YEM-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.851, p=0.000\n", + "YEM-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.628, p=0.000\n", + "YEM-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.874, p=0.001\n", + "YEM-Merchandise imports (current US$)\n", + "Statistical=0.819, p=0.000\n", + "YEM-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.702, p=0.000\n", + "YEM-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.873, p=0.001\n", + "YEM-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.848, p=0.000\n", + "YEM-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.872, p=0.001\n", + "YEM-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.819, p=0.000\n", + "YEM-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.619, p=0.000\n", + "YEM-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.613, p=0.000\n", + "YEM-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.739, p=0.000\n", + "YEM-Merchandise trade (% of GDP)\n", + "Statistical=0.672, p=0.000\n", + "YEM-Methane emissions (% change from 1990)\n", + "Statistical=0.622, p=0.000\n", + "YEM-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.622, p=0.000\n", + "YEM-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.580, p=0.000\n", + "YEM-Military expenditure (% of GDP)\n", + "Statistical=0.554, p=0.000\n", + "YEM-Military expenditure (% of general government expenditure)\n", + "Statistical=0.748, p=0.000\n", + "YEM-Military expenditure (current USD)\n", + "Statistical=0.610, p=0.000\n", + "YEM-Mineral rents (% of GDP)\n", + "Statistical=0.651, p=0.000\n", + "YEM-Mobile cellular subscriptions\n", + "Statistical=0.601, p=0.000\n", + "YEM-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.646, p=0.000\n", + "YEM-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.866, p=0.001\n", + "YEM-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.754, p=0.000\n", + "YEM-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.803, p=0.000\n", + "YEM-Natural gas rents (% of GDP)\n", + "Statistical=0.926, p=0.031\n", + "YEM-Net barter terms of trade index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Net capital account (BoP, current US$)\n", + "Statistical=0.954, p=0.189\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Net errors and omissions (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Net financial account (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Net migration\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Net primary income (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Net secondary income (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.622, p=0.000\n", + "YEM-Net trade in goods (BoP, current US$)\n", + "Statistical=0.622, p=0.000\n", + "YEM-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.622, p=0.000\n", + "YEM-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.622, p=0.000\n", + "YEM-New businesses registered (number)\n", + "Statistical=0.622, p=0.000\n", + "YEM-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.692, p=0.000\n", + "YEM-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.705, p=0.000\n", + "YEM-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.836, p=0.000\n", + "YEM-Number of deaths ages 10-14 years\n", + "Statistical=0.779, p=0.000\n", + "YEM-Number of deaths ages 15-19 years\n", + "Statistical=0.826, p=0.000\n", + "YEM-Number of deaths ages 20-24 years\n", + "Statistical=0.900, p=0.006\n", + "YEM-Number of deaths ages 5-9 years\n", + "Statistical=0.919, p=0.019\n", + "YEM-Number of infant deaths\n", + "Statistical=0.858, p=0.001\n", + "YEM-Number of maternal deaths\n", + "Statistical=0.713, p=0.000\n", + "YEM-Number of neonatal deaths\n", + "Statistical=0.980, p=0.785\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Number of under-five deaths\n", + "Statistical=0.963, p=0.329\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.890, p=0.004\n", + "YEM-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.801, p=0.000\n", + "YEM-Oil rents (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Ores and metals exports (% of merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.947, p=0.119\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.810, p=0.000\n", + "YEM-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.700, p=0.000\n", + "YEM-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.904, p=0.008\n", + "YEM-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.952, p=0.167\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.952, p=0.167\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.869, p=0.001\n", + "YEM-People using at least basic drinking water services (% of population)\n", + "Statistical=0.906, p=0.009\n", + "YEM-People using at least basic sanitation services (% of population)\n", + "Statistical=0.829, p=0.000\n", + "YEM-People using safely managed sanitation services (% of population)\n", + "Statistical=0.829, p=0.000\n", + "YEM-Permanent cropland (% of land area)\n", + "Statistical=0.944, p=0.097\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Physicians (per 1,000 people)\n", + "Statistical=0.958, p=0.248\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Population ages 0-14 (% of total population)\n", + "Statistical=0.958, p=0.248\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Population ages 15-64 (% of total population)\n", + "Statistical=0.886, p=0.003\n", + "YEM-Population ages 65 and above (% of total population)\n", + "Statistical=0.917, p=0.017\n", + "YEM-Population density (people per sq. km of land area)\n", + "Statistical=0.956, p=0.209\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Population in largest city\n", + "Statistical=0.890, p=0.004\n", + "YEM-Population in the largest city (% of urban population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.866, p=0.001\n", + "YEM-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.869, p=0.001\n", + "YEM-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Pregnant women receiving prenatal care (%)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.865, p=0.001\n", + "YEM-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.901, p=0.007\n", + "YEM-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Prevalence of current tobacco use (% of adults)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Prevalence of undernourishment (% of population)\n", + "Statistical=0.886, p=0.003\n", + "YEM-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Primary income payments (BoP, current US$)\n", + "Statistical=0.923, p=0.025\n", + "YEM-Primary income receipts (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Primary school starting age (years)\n", + "Statistical=0.887, p=0.003\n", + "YEM-Private credit bureau coverage (% of adults)\n", + "Statistical=0.877, p=0.002\n", + "YEM-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.863, p=0.001\n", + "YEM-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.865, p=0.001\n", + "YEM-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Procedures to build a warehouse (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Procedures to register property (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Profit tax (% of commercial profits)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Progression to secondary school (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.776, p=0.000\n", + "YEM-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.806, p=0.000\n", + "YEM-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.781, p=0.000\n", + "YEM-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.734, p=0.000\n", + "YEM-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.726, p=0.000\n", + "YEM-Public credit registry coverage (% of adults)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Pump price for gasoline (US$ per liter)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Rail lines (total route-km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.794, p=0.000\n", + "YEM-Refugee population by country or territory of asylum\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Refugee population by country or territory of origin\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Renewable electricity output (% of total electricity output)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Research and development expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Researchers in R&D (per million people)\n", + "Statistical=0.607, p=0.000\n", + "YEM-Reserves and related items (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Rural land area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Rural population\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Rural population (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Rural population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.810, p=0.000\n", + "YEM-Scientific and technical journal articles\n", + "Statistical=0.847, p=0.000\n", + "YEM-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.856, p=0.001\n", + "YEM-Secure Internet servers\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Secure Internet servers (per 1 million people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Service exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Service imports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Sex ratio at birth (male births per female births)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Social contributions (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Start-up procedures to register a business (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.961, p=0.294\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.961, p=0.294\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.855, p=0.001\n", + "YEM-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.905, p=0.008\n", + "YEM-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.576, p=0.000\n", + "YEM-Surface area (sq. km)\n", + "Statistical=0.596, p=0.000\n", + "YEM-Tax payments (number)\n", + "Statistical=0.889, p=0.003\n", + "YEM-Tax revenue (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Taxes less subsidies on products (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Taxes on goods and services (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Terrestrial protected areas (% of total land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Time required to build a warehouse (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Time required to enforce a contract (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Time required to get electricity (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Time required to register property (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Time required to start a business (days)\n", + "Statistical=0.393, p=0.000\n", + "YEM-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.393, p=0.000\n", + "YEM-Time to obtain an electrical connection (days)\n", + "Statistical=0.424, p=0.000\n", + "YEM-Time to prepare and pay taxes (hours)\n", + "Statistical=0.398, p=0.000\n", + "YEM-Time to resolve insolvency (years)\n", + "Statistical=0.382, p=0.000\n", + "YEM-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.393, p=0.000\n", + "YEM-Total fisheries production (metric tons)\n", + "Statistical=0.448, p=0.000\n", + "YEM-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.397, p=0.000\n", + "YEM-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.398, p=0.000\n", + "YEM-Total natural resources rents (% of GDP)\n", + "Statistical=0.731, p=0.000\n", + "YEM-Total reserves (includes gold, current US$)\n", + "Statistical=0.837, p=0.000\n", + "YEM-Total reserves in months of imports\n", + "Statistical=0.757, p=0.000\n", + "YEM-Total reserves minus gold (current US$)\n", + "Statistical=0.740, p=0.000\n", + "YEM-Total tax and contribution rate (% of profit)\n", + "Statistical=0.967, p=0.425\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Trade (% of GDP)\n", + "Statistical=0.769, p=0.000\n", + "YEM-Trade in services (% of GDP)\n", + "Statistical=0.958, p=0.248\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Transport services (% of commercial service exports)\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Transport services (% of commercial service imports)\n", + "Statistical=0.890, p=0.004\n", + "YEM-Transport services (% of service exports, BoP)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Transport services (% of service imports, BoP)\n", + "Statistical=0.758, p=0.000\n", + "YEM-Travel services (% of commercial service exports)\n", + "Statistical=0.780, p=0.000\n", + "YEM-Travel services (% of commercial service imports)\n", + "Statistical=0.706, p=0.000\n", + "YEM-Travel services (% of service exports, BoP)\n", + "Statistical=0.645, p=0.000\n", + "YEM-Travel services (% of service imports, BoP)\n", + "Statistical=0.645, p=0.000\n", + "YEM-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.720, p=0.000\n", + "YEM-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.761, p=0.000\n", + "YEM-UHC service coverage index\n", + "Statistical=0.692, p=0.000\n", + "YEM-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.767, p=0.000\n", + "YEM-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.729, p=0.000\n", + "YEM-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.806, p=0.000\n", + "YEM-Urban land area (sq. km)\n", + "Statistical=0.825, p=0.000\n", + "YEM-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.892, p=0.004\n", + "YEM-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.892, p=0.004\n", + "YEM-Urban population\n", + "Statistical=0.868, p=0.001\n", + "YEM-Urban population (% of total population)\n", + "Statistical=0.824, p=0.000\n", + "YEM-Urban population growth (annual %)\n", + "Statistical=0.732, p=0.000\n", + "YEM-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.732, p=0.000\n", + "YEM-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.732, p=0.000\n", + "YEM-GDP (current US$)+1\n", + "Statistical=0.732, p=0.000\n", + "YEM-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-GDP (current US$)+2\n", + "Statistical=0.838, p=0.000\n", + "YEM-GDP (current US$)+3\n", + "Statistical=0.961, p=0.284\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-GDP (current US$)+5\n", + "Statistical=0.950, p=0.142\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-GDP (current US$)+8\n", + "Statistical=0.977, p=0.713\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-GDP (current US$)+13\n", + "Statistical=0.916, p=0.016\n", + "YEM-GDP (current US$)+21\n", + "Statistical=0.916, p=0.016\n", + "YEM-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.879, p=0.002\n", + "YEM-Deposit interest rate (%)\n", + "Statistical=0.915, p=0.015\n", + "YEM-Other taxes (% of revenue)\n", + "Statistical=0.955, p=0.194\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.971, p=0.539\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Taxes on international trade (% of revenue)\n", + "Statistical=0.971, p=0.539\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.776, p=0.000\n", + "YEM-Broad money (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Broad money growth (annual %)\n", + "Statistical=0.777, p=0.000\n", + "YEM-Broad money to total reserves ratio\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.772, p=0.000\n", + "YEM-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.761, p=0.000\n", + "YEM-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-External health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "YEM-External health expenditure per capita (current US$)\n", + "Statistical=0.732, p=0.000\n", + "YEM-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.827, p=0.000\n", + "YEM-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.815, p=0.000\n", + "YEM-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.754, p=0.000\n", + "YEM-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.903, p=0.007\n", + "YEM-People practicing open defecation (% of population)\n", + "Statistical=0.716, p=0.000\n", + "YEM-Taxes on exports (% of tax revenue)\n", + "Statistical=0.830, p=0.000\n", + "YEM-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.670, p=0.000\n", + "YEM-Country\n", + "Statistical=0.596, p=0.000\n", + "YEM-Year\n", + "Statistical=0.587, p=0.000\n", + "YEM-Continent\n", + "Statistical=0.630, p=0.000\n", + "OMN-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Adjusted savings: net national savings (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Age dependency ratio (% of working-age population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Agricultural land (% of land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Agricultural land (sq. km)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Agricultural methane emissions (% of total)\n", + "Statistical=0.875, p=0.002\n", + "OMN-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.558, p=0.000\n", + "OMN-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.550, p=0.000\n", + "OMN-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.907, p=0.010\n", + "OMN-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.838, p=0.000\n", + "OMN-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.845, p=0.000\n", + "OMN-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.931, p=0.041\n", + "OMN-Aquaculture production (metric tons)\n", + "Statistical=0.884, p=0.003\n", + "OMN-Arable land (% of land area)\n", + "Statistical=0.868, p=0.001\n", + "OMN-Arable land (hectares per person)\n", + "Statistical=0.965, p=0.384\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Arable land (hectares)\n", + "Statistical=0.889, p=0.003\n", + "OMN-Armed forces personnel (% of total labor force)\n", + "Statistical=0.967, p=0.426\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.888, p=0.003\n", + "OMN-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.948, p=0.125\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.859, p=0.001\n", + "OMN-Average precipitation in depth (mm per year)\n", + "Statistical=0.990, p=0.987\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Average time to clear exports through customs (days)\n", + "Statistical=0.807, p=0.000\n", + "OMN-Births attended by skilled health staff (% of total)\n", + "Statistical=0.889, p=0.003\n", + "OMN-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.847, p=0.000\n", + "OMN-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.973, p=0.575\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.884, p=0.003\n", + "OMN-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.925, p=0.029\n", + "OMN-CO2 emissions (kt)\n", + "Statistical=0.722, p=0.000\n", + "OMN-CO2 emissions (metric tons per capita)\n", + "Statistical=0.787, p=0.000\n", + "OMN-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.973, p=0.576\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=0.854, p=0.001\n", + "OMN-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.934, p=0.050\n", + "OMN-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.874, p=0.001\n", + "OMN-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.923, p=0.025\n", + "OMN-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.921, p=0.022\n", + "OMN-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.754, p=0.000\n", + "OMN-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.886, p=0.003\n", + "OMN-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.874, p=0.001\n", + "OMN-Capture fisheries production (metric tons)\n", + "Statistical=0.893, p=0.004\n", + "OMN-Cereal production (metric tons)\n", + "Statistical=0.898, p=0.005\n", + "OMN-Cereal yield (kg per hectare)\n", + "Statistical=0.934, p=0.049\n", + "OMN-Changes in inventories (current US$)\n", + "Statistical=0.894, p=0.004\n", + "OMN-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.604, p=0.000\n", + "OMN-Children out of school (% of primary school age)\n", + "Statistical=0.731, p=0.000\n", + "OMN-Coal rents (% of GDP)\n", + "Statistical=0.731, p=0.000\n", + "OMN-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.742, p=0.000\n", + "OMN-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.708, p=0.000\n", + "OMN-Commercial service exports (current US$)\n", + "Statistical=0.802, p=0.000\n", + "OMN-Commercial service imports (current US$)\n", + "Statistical=0.907, p=0.009\n", + "OMN-Completeness of birth registration (%)\n", + "Statistical=0.826, p=0.000\n", + "OMN-Consumer price index (2010 = 100)\n", + "Statistical=0.922, p=0.024\n", + "OMN-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.954, p=0.186\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Crop production index (2014-2016 = 100)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Current account balance (% of GDP)\n", + "Statistical=0.946, p=0.107\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Current account balance (BoP, current US$)\n", + "Statistical=0.938, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Current health expenditure (% of GDP)\n", + "Statistical=0.705, p=0.000\n", + "OMN-Current health expenditure per capita (current US$)\n", + "Statistical=0.705, p=0.000\n", + "OMN-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.810, p=0.000\n", + "OMN-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.810, p=0.000\n", + "OMN-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.947, p=0.115\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.871, p=0.001\n", + "OMN-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.864, p=0.001\n", + "OMN-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.836, p=0.000\n", + "OMN-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.849, p=0.000\n", + "OMN-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.793, p=0.000\n", + "OMN-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.813, p=0.000\n", + "OMN-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.813, p=0.000\n", + "OMN-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Electric power consumption (kWh per capita)\n", + "Statistical=0.867, p=0.001\n", + "OMN-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.959, p=0.250\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Electricity production from coal sources (% of total)\n", + "Statistical=0.867, p=0.001\n", + "OMN-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.888, p=0.003\n", + "OMN-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.811, p=0.000\n", + "OMN-Electricity production from nuclear sources (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Electricity production from oil sources (% of total)\n", + "Statistical=0.835, p=0.000\n", + "OMN-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.653, p=0.000\n", + "OMN-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.680, p=0.000\n", + "OMN-Energy related methane emissions (% of total)\n", + "Statistical=0.596, p=0.000\n", + "OMN-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.853, p=0.000\n", + "OMN-Export unit value index (2000 = 100)\n", + "Statistical=0.388, p=0.000\n", + "OMN-Export value index (2000 = 100)\n", + "Statistical=0.762, p=0.000\n", + "OMN-Export volume index (2000 = 100)\n", + "Statistical=0.882, p=0.002\n", + "OMN-Exports of goods and services (% of GDP)\n", + "Statistical=0.808, p=0.000\n", + "OMN-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.941, p=0.081\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Exports of goods and services (current US$)\n", + "Statistical=0.820, p=0.000\n", + "OMN-External balance on goods and services (% of GDP)\n", + "Statistical=0.901, p=0.007\n", + "OMN-External balance on goods and services (current US$)\n", + "Statistical=0.969, p=0.473\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.871, p=0.001\n", + "OMN-Final consumption expenditure (% of GDP)\n", + "Statistical=0.868, p=0.001\n", + "OMN-Final consumption expenditure (current US$)\n", + "Statistical=0.865, p=0.001\n", + "OMN-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.869, p=0.001\n", + "OMN-Firms offering formal training (% of firms)\n", + "Statistical=0.854, p=0.001\n", + "OMN-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.855, p=0.001\n", + "OMN-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.890, p=0.004\n", + "OMN-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.847, p=0.000\n", + "OMN-Fixed broadband subscriptions\n", + "Statistical=0.943, p=0.093\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.924, p=0.027\n", + "OMN-Fixed telephone subscriptions\n", + "Statistical=0.882, p=0.002\n", + "OMN-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.816, p=0.000\n", + "OMN-Food exports (% of merchandise exports)\n", + "Statistical=0.952, p=0.169\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Food imports (% of merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Food production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Forest area (% of land area)\n", + "Statistical=0.878, p=0.002\n", + "OMN-Forest area (sq. km)\n", + "Statistical=0.911, p=0.012\n", + "OMN-Forest rents (% of GDP)\n", + "Statistical=0.866, p=0.001\n", + "OMN-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.684, p=0.000\n", + "OMN-Fuel exports (% of merchandise exports)\n", + "Statistical=0.848, p=0.000\n", + "OMN-Fuel imports (% of merchandise imports)\n", + "Statistical=0.827, p=0.000\n", + "OMN-GDP (current US$)\n", + "Statistical=0.749, p=0.000\n", + "OMN-GDP deflator (base year varies by country)\n", + "Statistical=0.788, p=0.000\n", + "OMN-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.945, p=0.105\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-GDP growth (annual %)\n", + "Statistical=0.945, p=0.105\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-GDP per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.918, p=0.018\n", + "OMN-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.880, p=0.002\n", + "OMN-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.879, p=0.002\n", + "OMN-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.867, p=0.001\n", + "OMN-GNI (current US$)\n", + "Statistical=0.864, p=0.001\n", + "OMN-GNI growth (annual %)\n", + "Statistical=0.694, p=0.000\n", + "OMN-GNI per capita growth (annual %)\n", + "Statistical=0.853, p=0.000\n", + "OMN-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.965, p=0.372\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-General government final consumption expenditure (current US$)\n", + "Statistical=0.889, p=0.003\n", + "OMN-Gini index\n", + "Statistical=0.969, p=0.469\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Goods imports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Grants and other revenue (% of revenue)\n", + "Statistical=0.727, p=0.000\n", + "OMN-Gross capital formation (% of GDP)\n", + "Statistical=0.892, p=0.004\n", + "OMN-Gross capital formation (current US$)\n", + "Statistical=0.869, p=0.001\n", + "OMN-Gross domestic savings (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Gross domestic savings (current US$)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Gross savings (% of GDP)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Gross savings (current US$)\n", + "Statistical=0.754, p=0.000\n", + "OMN-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.863, p=0.001\n", + "OMN-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.894, p=0.004\n", + "OMN-High-technology exports (% of manufactured exports)\n", + "Statistical=0.896, p=0.005\n", + "OMN-High-technology exports (current US$)\n", + "Statistical=0.927, p=0.033\n", + "OMN-Hospital beds (per 1,000 people)\n", + "Statistical=0.871, p=0.001\n", + "OMN-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.940, p=0.076\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.791, p=0.000\n", + "OMN-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.791, p=0.000\n", + "OMN-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.791, p=0.000\n", + "OMN-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=0.438, p=0.000\n", + "OMN-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=0.438, p=0.000\n", + "OMN-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.925, p=0.029\n", + "OMN-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.969, p=0.481\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.962, p=0.310\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-ICT goods exports (% of total goods exports)\n", + "Statistical=0.932, p=0.045\n", + "OMN-ICT goods imports (% total goods imports)\n", + "Statistical=0.881, p=0.002\n", + "OMN-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.898, p=0.005\n", + "OMN-ICT service exports (BoP, current US$)\n", + "Statistical=0.805, p=0.000\n", + "OMN-Import unit value index (2000 = 100)\n", + "Statistical=0.904, p=0.008\n", + "OMN-Import value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Import volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Imports of goods and services (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.882, p=0.002\n", + "OMN-Imports of goods and services (current US$)\n", + "Statistical=0.903, p=0.007\n", + "OMN-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "OMN-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Income share held by lowest 10%\n", + "Statistical=0.897, p=0.005\n", + "OMN-Income share held by lowest 20%\n", + "Statistical=0.897, p=0.005\n", + "OMN-Income share held by second 20%\n", + "Statistical=0.875, p=0.002\n", + "OMN-Income share held by third 20%\n", + "Statistical=0.810, p=0.000\n", + "OMN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.914, p=0.015\n", + "OMN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.808, p=0.000\n", + "OMN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.929, p=0.036\n", + "OMN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.810, p=0.000\n", + "OMN-Individuals using the Internet (% of population)\n", + "Statistical=0.840, p=0.000\n", + "OMN-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.853, p=0.000\n", + "OMN-Industry (including construction), value added (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.423, p=0.000\n", + "OMN-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.791, p=0.000\n", + "OMN-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.791, p=0.000\n", + "OMN-Intentional homicides (per 100,000 people)\n", + "Statistical=0.787, p=0.000\n", + "OMN-Interest payments (% of revenue)\n", + "Statistical=0.782, p=0.000\n", + "OMN-International migrant stock (% of population)\n", + "Statistical=0.805, p=0.000\n", + "OMN-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.801, p=0.000\n", + "OMN-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.700, p=0.000\n", + "OMN-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.700, p=0.000\n", + "OMN-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.700, p=0.000\n", + "OMN-Land area (sq. km)\n", + "Statistical=0.787, p=0.000\n", + "OMN-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.766, p=0.000\n", + "OMN-Land under cereal production (hectares)\n", + "Statistical=0.823, p=0.000\n", + "OMN-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.862, p=0.001\n", + "OMN-Lifetime risk of maternal death (%)\n", + "Statistical=0.867, p=0.001\n", + "OMN-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.698, p=0.000\n", + "OMN-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.698, p=0.000\n", + "OMN-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.868, p=0.001\n", + "OMN-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.853, p=0.000\n", + "OMN-Low-birthweight babies (% of births)\n", + "Statistical=0.850, p=0.000\n", + "OMN-Lower secondary school starting age (years)\n", + "Statistical=0.929, p=0.038\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "OMN-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.812, p=0.000\n", + "OMN-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.931, p=0.042\n", + "OMN-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.838, p=0.000\n", + "OMN-Marine protected areas (% of territorial waters)\n", + "Statistical=0.882, p=0.002\n", + "OMN-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.834, p=0.000\n", + "OMN-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.846, p=0.000\n", + "OMN-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.894, p=0.004\n", + "OMN-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.844, p=0.000\n", + "OMN-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.918, p=0.018\n", + "OMN-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.590, p=0.000\n", + "OMN-Merchandise exports (current US$)\n", + "Statistical=0.902, p=0.007\n", + "OMN-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.702, p=0.000\n", + "OMN-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.821, p=0.000\n", + "OMN-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.676, p=0.000\n", + "OMN-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.814, p=0.000\n", + "OMN-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.605, p=0.000\n", + "OMN-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.928, p=0.033\n", + "OMN-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.762, p=0.000\n", + "OMN-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.968, p=0.444\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.775, p=0.000\n", + "OMN-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.795, p=0.000\n", + "OMN-Merchandise imports (current US$)\n", + "Statistical=0.801, p=0.000\n", + "OMN-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.761, p=0.000\n", + "OMN-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.824, p=0.000\n", + "OMN-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.784, p=0.000\n", + "OMN-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.829, p=0.000\n", + "OMN-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.859, p=0.001\n", + "OMN-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.888, p=0.003\n", + "OMN-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.917, p=0.017\n", + "OMN-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.892, p=0.004\n", + "OMN-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.893, p=0.004\n", + "OMN-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.888, p=0.003\n", + "OMN-Merchandise trade (% of GDP)\n", + "Statistical=0.897, p=0.005\n", + "OMN-Methane emissions (% change from 1990)\n", + "Statistical=0.853, p=0.000\n", + "OMN-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.853, p=0.000\n", + "OMN-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.888, p=0.003\n", + "OMN-Military expenditure (% of GDP)\n", + "Statistical=0.888, p=0.003\n", + "OMN-Military expenditure (% of general government expenditure)\n", + "Statistical=0.889, p=0.003\n", + "OMN-Military expenditure (current USD)\n", + "Statistical=0.971, p=0.515\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Mineral rents (% of GDP)\n", + "Statistical=0.641, p=0.000\n", + "OMN-Mobile cellular subscriptions\n", + "Statistical=0.865, p=0.001\n", + "OMN-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.865, p=0.001\n", + "OMN-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Natural gas rents (% of GDP)\n", + "Statistical=0.727, p=0.000\n", + "OMN-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.745, p=0.000\n", + "OMN-Net capital account (BoP, current US$)\n", + "Statistical=0.901, p=0.007\n", + "OMN-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.938, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Net financial account (BoP, current US$)\n", + "Statistical=0.844, p=0.000\n", + "OMN-Net migration\n", + "Statistical=0.799, p=0.000\n", + "OMN-Net primary income (BoP, current US$)\n", + "Statistical=0.799, p=0.000\n", + "OMN-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.813, p=0.000\n", + "OMN-Net secondary income (BoP, current US$)\n", + "Statistical=0.813, p=0.000\n", + "OMN-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Net trade in goods (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Net trade in goods and services (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-New businesses registered (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.691, p=0.000\n", + "OMN-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.730, p=0.000\n", + "OMN-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.931, p=0.043\n", + "OMN-Number of deaths ages 10-14 years\n", + "Statistical=0.952, p=0.162\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Number of deaths ages 15-19 years\n", + "Statistical=0.962, p=0.316\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Number of deaths ages 20-24 years\n", + "Statistical=0.972, p=0.559\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Number of deaths ages 5-9 years\n", + "Statistical=0.896, p=0.005\n", + "OMN-Number of infant deaths\n", + "Statistical=0.908, p=0.010\n", + "OMN-Number of maternal deaths\n", + "Statistical=0.820, p=0.000\n", + "OMN-Number of neonatal deaths\n", + "Statistical=0.931, p=0.042\n", + "OMN-Number of under-five deaths\n", + "Statistical=0.874, p=0.001\n", + "OMN-Nurses and midwives (per 1,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Official exchange rate (LCU per US$, period average)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Oil rents (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Ores and metals exports (% of merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.074, p=0.000\n", + "OMN-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.917, p=0.017\n", + "OMN-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.903, p=0.007\n", + "OMN-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.916, p=0.016\n", + "OMN-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.916, p=0.016\n", + "OMN-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.833, p=0.000\n", + "OMN-People using at least basic drinking water services (% of population)\n", + "Statistical=0.833, p=0.000\n", + "OMN-People using at least basic sanitation services (% of population)\n", + "Statistical=0.858, p=0.001\n", + "OMN-People using safely managed sanitation services (% of population)\n", + "Statistical=0.863, p=0.001\n", + "OMN-Permanent cropland (% of land area)\n", + "Statistical=0.963, p=0.329\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Physicians (per 1,000 people)\n", + "Statistical=0.956, p=0.216\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Population ages 0-14 (% of total population)\n", + "Statistical=0.956, p=0.216\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Population ages 15-64 (% of total population)\n", + "Statistical=0.887, p=0.003\n", + "OMN-Population ages 65 and above (% of total population)\n", + "Statistical=0.887, p=0.003\n", + "OMN-Population density (people per sq. km of land area)\n", + "Statistical=0.957, p=0.230\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Population growth (annual %)\n", + "Statistical=0.956, p=0.216\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Population in largest city\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Population in the largest city (% of urban population)\n", + "Statistical=0.898, p=0.005\n", + "OMN-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.829, p=0.000\n", + "OMN-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.799, p=0.000\n", + "OMN-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.916, p=0.016\n", + "OMN-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.925, p=0.028\n", + "OMN-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.843, p=0.000\n", + "OMN-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.822, p=0.000\n", + "OMN-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.822, p=0.000\n", + "OMN-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.838, p=0.000\n", + "OMN-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.838, p=0.000\n", + "OMN-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.903, p=0.007\n", + "OMN-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.839, p=0.000\n", + "OMN-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.839, p=0.000\n", + "OMN-Prevalence of undernourishment (% of population)\n", + "Statistical=0.888, p=0.003\n", + "OMN-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Primary income payments (BoP, current US$)\n", + "Statistical=0.878, p=0.002\n", + "OMN-Primary income receipts (BoP, current US$)\n", + "Statistical=0.839, p=0.000\n", + "OMN-Primary school starting age (years)\n", + "Statistical=0.933, p=0.048\n", + "OMN-Private credit bureau coverage (% of adults)\n", + "Statistical=0.822, p=0.000\n", + "OMN-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.822, p=0.000\n", + "OMN-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.849, p=0.000\n", + "OMN-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.953, p=0.181\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Procedures to build a warehouse (number)\n", + "Statistical=0.882, p=0.002\n", + "OMN-Procedures to register property (number)\n", + "Statistical=0.833, p=0.000\n", + "OMN-Profit tax (% of commercial profits)\n", + "Statistical=0.833, p=0.000\n", + "OMN-Progression to secondary school (%)\n", + "Statistical=0.806, p=0.000\n", + "OMN-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.806, p=0.000\n", + "OMN-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.889, p=0.003\n", + "OMN-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.868, p=0.001\n", + "OMN-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.923, p=0.026\n", + "OMN-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Public credit registry coverage (% of adults)\n", + "Statistical=0.794, p=0.000\n", + "OMN-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.860, p=0.001\n", + "OMN-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.732, p=0.000\n", + "OMN-Rail lines (total route-km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.841, p=0.000\n", + "OMN-Refugee population by country or territory of asylum\n", + "Statistical=0.929, p=0.036\n", + "OMN-Refugee population by country or territory of origin\n", + "Statistical=0.877, p=0.002\n", + "OMN-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.883, p=0.002\n", + "OMN-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.883, p=0.002\n", + "OMN-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.837, p=0.000\n", + "OMN-Research and development expenditure (% of GDP)\n", + "Statistical=0.837, p=0.000\n", + "OMN-Researchers in R&D (per million people)\n", + "Statistical=0.824, p=0.000\n", + "OMN-Reserves and related items (BoP, current US$)\n", + "Statistical=0.938, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.874, p=0.001\n", + "OMN-Rural land area (sq. km)\n", + "Statistical=0.874, p=0.001\n", + "OMN-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.871, p=0.001\n", + "OMN-Rural population\n", + "Statistical=0.841, p=0.000\n", + "OMN-Rural population (% of total population)\n", + "Statistical=0.841, p=0.000\n", + "OMN-Rural population growth (annual %)\n", + "Statistical=0.830, p=0.000\n", + "OMN-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.830, p=0.000\n", + "OMN-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.913, p=0.014\n", + "OMN-Scientific and technical journal articles\n", + "Statistical=0.915, p=0.015\n", + "OMN-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.910, p=0.011\n", + "OMN-Secure Internet servers\n", + "Statistical=0.990, p=0.987\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Secure Internet servers (per 1 million people)\n", + "Statistical=0.809, p=0.000\n", + "OMN-Service exports (BoP, current US$)\n", + "Statistical=0.809, p=0.000\n", + "OMN-Service imports (BoP, current US$)\n", + "Statistical=0.818, p=0.000\n", + "OMN-Sex ratio at birth (male births per female births)\n", + "Statistical=0.818, p=0.000\n", + "OMN-Social contributions (% of revenue)\n", + "Statistical=0.842, p=0.000\n", + "OMN-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.945, p=0.107\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Start-up procedures to register a business (number)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.870, p=0.001\n", + "OMN-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.870, p=0.001\n", + "OMN-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.652, p=0.000\n", + "OMN-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.652, p=0.000\n", + "OMN-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.820, p=0.000\n", + "OMN-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.820, p=0.000\n", + "OMN-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.583, p=0.000\n", + "OMN-Surface area (sq. km)\n", + "Statistical=0.638, p=0.000\n", + "OMN-Tax payments (number)\n", + "Statistical=0.814, p=0.000\n", + "OMN-Tax revenue (% of GDP)\n", + "Statistical=0.925, p=0.028\n", + "OMN-Taxes less subsidies on products (current US$)\n", + "Statistical=0.818, p=0.000\n", + "OMN-Taxes on goods and services (% of revenue)\n", + "Statistical=0.818, p=0.000\n", + "OMN-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.814, p=0.000\n", + "OMN-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.814, p=0.000\n", + "OMN-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.799, p=0.000\n", + "OMN-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.908, p=0.010\n", + "OMN-Time required to build a warehouse (days)\n", + "Statistical=0.818, p=0.000\n", + "OMN-Time required to enforce a contract (days)\n", + "Statistical=0.829, p=0.000\n", + "OMN-Time required to get electricity (days)\n", + "Statistical=0.909, p=0.011\n", + "OMN-Time required to register property (days)\n", + "Statistical=0.805, p=0.000\n", + "OMN-Time required to start a business (days)\n", + "Statistical=0.402, p=0.000\n", + "OMN-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.404, p=0.000\n", + "OMN-Time to obtain an electrical connection (days)\n", + "Statistical=0.404, p=0.000\n", + "OMN-Time to prepare and pay taxes (hours)\n", + "Statistical=0.403, p=0.000\n", + "OMN-Time to resolve insolvency (years)\n", + "Statistical=0.401, p=0.000\n", + "OMN-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.402, p=0.000\n", + "OMN-Total fisheries production (metric tons)\n", + "Statistical=0.399, p=0.000\n", + "OMN-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.404, p=0.000\n", + "OMN-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.403, p=0.000\n", + "OMN-Total natural resources rents (% of GDP)\n", + "Statistical=0.811, p=0.000\n", + "OMN-Total reserves (includes gold, current US$)\n", + "Statistical=0.806, p=0.000\n", + "OMN-Total reserves in months of imports\n", + "Statistical=0.835, p=0.000\n", + "OMN-Total reserves minus gold (current US$)\n", + "Statistical=0.810, p=0.000\n", + "OMN-Total tax and contribution rate (% of profit)\n", + "Statistical=0.483, p=0.000\n", + "OMN-Trade (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Trade in services (% of GDP)\n", + "Statistical=0.773, p=0.000\n", + "OMN-Transport services (% of commercial service exports)\n", + "Statistical=0.850, p=0.000\n", + "OMN-Transport services (% of commercial service imports)\n", + "Statistical=0.867, p=0.001\n", + "OMN-Transport services (% of service exports, BoP)\n", + "Statistical=0.850, p=0.000\n", + "OMN-Transport services (% of service imports, BoP)\n", + "Statistical=0.952, p=0.159\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Travel services (% of commercial service exports)\n", + "Statistical=0.860, p=0.001\n", + "OMN-Travel services (% of commercial service imports)\n", + "Statistical=0.854, p=0.000\n", + "OMN-Travel services (% of service exports, BoP)\n", + "Statistical=0.834, p=0.000\n", + "OMN-Travel services (% of service imports, BoP)\n", + "Statistical=0.834, p=0.000\n", + "OMN-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.862, p=0.001\n", + "OMN-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.862, p=0.001\n", + "OMN-UHC service coverage index\n", + "Statistical=0.850, p=0.000\n", + "OMN-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.849, p=0.000\n", + "OMN-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Urban land area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Urban population\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Urban population (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-GDP (current US$)+2\n", + "Statistical=0.486, p=0.000\n", + "OMN-GDP (current US$)+3\n", + "Statistical=0.451, p=0.000\n", + "OMN-GDP (current US$)+5\n", + "Statistical=0.931, p=0.043\n", + "OMN-GDP (current US$)+8\n", + "Statistical=0.921, p=0.023\n", + "OMN-GDP (current US$)+13\n", + "Statistical=0.810, p=0.000\n", + "OMN-GDP (current US$)+21\n", + "Statistical=0.810, p=0.000\n", + "OMN-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.869, p=0.001\n", + "OMN-Deposit interest rate (%)\n", + "Statistical=0.869, p=0.001\n", + "OMN-Other taxes (% of revenue)\n", + "Statistical=0.782, p=0.000\n", + "OMN-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.989, p=0.983\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Taxes on international trade (% of revenue)\n", + "Statistical=0.995, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.836, p=0.000\n", + "OMN-Broad money (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Broad money growth (annual %)\n", + "Statistical=0.913, p=0.014\n", + "OMN-Broad money to total reserves ratio\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.913, p=0.014\n", + "OMN-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.888, p=0.003\n", + "OMN-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-External health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "OMN-External health expenditure per capita (current US$)\n", + "Statistical=0.443, p=0.000\n", + "OMN-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.748, p=0.000\n", + "OMN-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.862, p=0.001\n", + "OMN-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.925, p=0.029\n", + "OMN-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.801, p=0.000\n", + "OMN-People practicing open defecation (% of population)\n", + "Statistical=0.795, p=0.000\n", + "OMN-Taxes on exports (% of tax revenue)\n", + "Statistical=0.894, p=0.004\n", + "OMN-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.730, p=0.000\n", + "OMN-Country\n", + "Statistical=0.930, p=0.040\n", + "OMN-Year\n", + "Statistical=0.802, p=0.000\n", + "OMN-Continent\n", + "Statistical=0.773, p=0.000\n", + "DZA-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Adjusted net national income (current US$)\n", + "Statistical=0.808, p=0.000\n", + "DZA-Adjusted net national income per capita (current US$)\n", + "Statistical=0.813, p=0.000\n", + "DZA-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.806, p=0.000\n", + "DZA-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.746, p=0.000\n", + "DZA-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.905, p=0.009\n", + "DZA-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.865, p=0.001\n", + "DZA-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.661, p=0.000\n", + "DZA-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.663, p=0.000\n", + "DZA-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.645, p=0.000\n", + "DZA-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.663, p=0.000\n", + "DZA-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.625, p=0.000\n", + "DZA-Age dependency ratio (% of working-age population)\n", + "Statistical=0.663, p=0.000\n", + "DZA-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.658, p=0.000\n", + "DZA-Agricultural land (% of land area)\n", + "Statistical=0.659, p=0.000\n", + "DZA-Agricultural land (sq. km)\n", + "Statistical=0.663, p=0.000\n", + "DZA-Agricultural methane emissions (% of total)\n", + "Statistical=0.841, p=0.000\n", + "DZA-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.790, p=0.000\n", + "DZA-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.819, p=0.000\n", + "DZA-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.959, p=0.251\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.864, p=0.001\n", + "DZA-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.833, p=0.000\n", + "DZA-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.965, p=0.383\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Aquaculture production (metric tons)\n", + "Statistical=0.844, p=0.000\n", + "DZA-Arable land (% of land area)\n", + "Statistical=0.866, p=0.001\n", + "DZA-Arable land (hectares per person)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Arable land (hectares)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Armed forces personnel (% of total labor force)\n", + "Statistical=0.953, p=0.175\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.940, p=0.076\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.874, p=0.001\n", + "DZA-Average precipitation in depth (mm per year)\n", + "Statistical=0.950, p=0.145\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Average time to clear exports through customs (days)\n", + "Statistical=0.852, p=0.000\n", + "DZA-Births attended by skilled health staff (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.849, p=0.000\n", + "DZA-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.923, p=0.025\n", + "DZA-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.882, p=0.002\n", + "DZA-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.973, p=0.594\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-CO2 emissions (kt)\n", + "Statistical=0.893, p=0.004\n", + "DZA-CO2 emissions (metric tons per capita)\n", + "Statistical=0.763, p=0.000\n", + "DZA-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.923, p=0.025\n", + "DZA-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=0.916, p=0.016\n", + "DZA-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=0.873, p=0.001\n", + "DZA-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.967, p=0.412\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.955, p=0.198\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.828, p=0.000\n", + "DZA-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.732, p=0.000\n", + "DZA-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.513, p=0.000\n", + "DZA-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.518, p=0.000\n", + "DZA-Capture fisheries production (metric tons)\n", + "Statistical=0.535, p=0.000\n", + "DZA-Cereal production (metric tons)\n", + "Statistical=0.865, p=0.001\n", + "DZA-Cereal yield (kg per hectare)\n", + "Statistical=0.903, p=0.007\n", + "DZA-Changes in inventories (current US$)\n", + "Statistical=0.842, p=0.000\n", + "DZA-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.775, p=0.000\n", + "DZA-Children out of school (% of primary school age)\n", + "Statistical=0.798, p=0.000\n", + "DZA-Coal rents (% of GDP)\n", + "Statistical=0.798, p=0.000\n", + "DZA-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.808, p=0.000\n", + "DZA-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.792, p=0.000\n", + "DZA-Commercial service exports (current US$)\n", + "Statistical=0.667, p=0.000\n", + "DZA-Commercial service imports (current US$)\n", + "Statistical=0.860, p=0.001\n", + "DZA-Completeness of birth registration (%)\n", + "Statistical=0.666, p=0.000\n", + "DZA-Consumer price index (2010 = 100)\n", + "Statistical=0.848, p=0.000\n", + "DZA-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.878, p=0.002\n", + "DZA-Crop production index (2014-2016 = 100)\n", + "Statistical=0.932, p=0.043\n", + "DZA-Current account balance (% of GDP)\n", + "Statistical=0.957, p=0.228\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Current account balance (BoP, current US$)\n", + "Statistical=0.885, p=0.003\n", + "DZA-Current health expenditure (% of GDP)\n", + "Statistical=0.822, p=0.000\n", + "DZA-Current health expenditure per capita (current US$)\n", + "Statistical=0.822, p=0.000\n", + "DZA-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.788, p=0.000\n", + "DZA-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.800, p=0.000\n", + "DZA-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.778, p=0.000\n", + "DZA-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.956, p=0.217\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.812, p=0.000\n", + "DZA-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.893, p=0.004\n", + "DZA-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.963, p=0.326\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.851, p=0.000\n", + "DZA-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.860, p=0.001\n", + "DZA-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.905, p=0.008\n", + "DZA-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.905, p=0.008\n", + "DZA-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.831, p=0.000\n", + "DZA-Electric power consumption (kWh per capita)\n", + "Statistical=0.958, p=0.235\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.932, p=0.045\n", + "DZA-Electricity production from coal sources (% of total)\n", + "Statistical=0.958, p=0.235\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.910, p=0.011\n", + "DZA-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.782, p=0.000\n", + "DZA-Electricity production from nuclear sources (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Electricity production from oil sources (% of total)\n", + "Statistical=0.929, p=0.036\n", + "DZA-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.779, p=0.000\n", + "DZA-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Energy related methane emissions (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Energy use (kg of oil equivalent per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Export unit value index (2000 = 100)\n", + "Statistical=0.748, p=0.000\n", + "DZA-Export value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Export volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Exports of goods and services (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.971, p=0.531\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Exports of goods and services (current US$)\n", + "Statistical=0.862, p=0.001\n", + "DZA-External balance on goods and services (% of GDP)\n", + "Statistical=0.978, p=0.729\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-External balance on goods and services (current US$)\n", + "Statistical=0.829, p=0.000\n", + "DZA-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.955, p=0.195\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Final consumption expenditure (% of GDP)\n", + "Statistical=0.955, p=0.197\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Final consumption expenditure (current US$)\n", + "Statistical=0.924, p=0.027\n", + "DZA-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.858, p=0.001\n", + "DZA-Firms offering formal training (% of firms)\n", + "Statistical=0.846, p=0.000\n", + "DZA-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.865, p=0.001\n", + "DZA-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.920, p=0.021\n", + "DZA-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.889, p=0.003\n", + "DZA-Fixed broadband subscriptions\n", + "Statistical=0.970, p=0.503\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.868, p=0.001\n", + "DZA-Fixed telephone subscriptions\n", + "Statistical=0.872, p=0.001\n", + "DZA-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Food exports (% of merchandise exports)\n", + "Statistical=0.931, p=0.041\n", + "DZA-Food imports (% of merchandise imports)\n", + "Statistical=0.906, p=0.009\n", + "DZA-Food production index (2014-2016 = 100)\n", + "Statistical=0.910, p=0.011\n", + "DZA-Forest area (% of land area)\n", + "Statistical=0.897, p=0.005\n", + "DZA-Forest area (sq. km)\n", + "Statistical=0.826, p=0.000\n", + "DZA-Forest rents (% of GDP)\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.857, p=0.001\n", + "DZA-Fuel exports (% of merchandise exports)\n", + "Statistical=0.838, p=0.000\n", + "DZA-Fuel imports (% of merchandise imports)\n", + "Statistical=0.852, p=0.000\n", + "DZA-GDP (current US$)\n", + "Statistical=0.950, p=0.147\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-GDP deflator (base year varies by country)\n", + "Statistical=0.931, p=0.042\n", + "DZA-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.856, p=0.001\n", + "DZA-GDP growth (annual %)\n", + "Statistical=0.890, p=0.003\n", + "DZA-GDP per capita (current US$)\n", + "Statistical=0.743, p=0.000\n", + "DZA-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.838, p=0.000\n", + "DZA-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.845, p=0.000\n", + "DZA-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.790, p=0.000\n", + "DZA-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.819, p=0.000\n", + "DZA-GNI (current US$)\n", + "Statistical=0.821, p=0.000\n", + "DZA-GNI growth (annual %)\n", + "Statistical=0.780, p=0.000\n", + "DZA-GNI per capita growth (annual %)\n", + "Statistical=0.816, p=0.000\n", + "DZA-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.966, p=0.387\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-General government final consumption expenditure (current US$)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Gini index\n", + "Statistical=0.956, p=0.217\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Goods imports (BoP, current US$)\n", + "Statistical=0.871, p=0.001\n", + "DZA-Grants and other revenue (% of revenue)\n", + "Statistical=0.723, p=0.000\n", + "DZA-Gross capital formation (% of GDP)\n", + "Statistical=0.781, p=0.000\n", + "DZA-Gross capital formation (current US$)\n", + "Statistical=0.864, p=0.001\n", + "DZA-Gross domestic savings (% of GDP)\n", + "Statistical=0.951, p=0.158\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Gross domestic savings (current US$)\n", + "Statistical=0.806, p=0.000\n", + "DZA-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.706, p=0.000\n", + "DZA-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Gross national expenditure (% of GDP)\n", + "Statistical=0.558, p=0.000\n", + "DZA-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.957, p=0.227\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Gross savings (% of GDP)\n", + "Statistical=0.807, p=0.000\n", + "DZA-Gross savings (current US$)\n", + "Statistical=0.972, p=0.556\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.749, p=0.000\n", + "DZA-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.689, p=0.000\n", + "DZA-High-technology exports (% of manufactured exports)\n", + "Statistical=0.929, p=0.036\n", + "DZA-High-technology exports (current US$)\n", + "Statistical=0.800, p=0.000\n", + "DZA-Hospital beds (per 1,000 people)\n", + "Statistical=0.797, p=0.000\n", + "DZA-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.797, p=0.000\n", + "DZA-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.802, p=0.000\n", + "DZA-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.802, p=0.000\n", + "DZA-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.802, p=0.000\n", + "DZA-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.878, p=0.002\n", + "DZA-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.933, p=0.049\n", + "DZA-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.553, p=0.000\n", + "DZA-ICT goods exports (% of total goods exports)\n", + "Statistical=0.401, p=0.000\n", + "DZA-ICT goods imports (% total goods imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.785, p=0.000\n", + "DZA-ICT service exports (BoP, current US$)\n", + "Statistical=0.821, p=0.000\n", + "DZA-Import unit value index (2000 = 100)\n", + "Statistical=0.797, p=0.000\n", + "DZA-Import value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Import volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Imports of goods and services (% of GDP)\n", + "Statistical=0.906, p=0.009\n", + "DZA-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.739, p=0.000\n", + "DZA-Imports of goods and services (current US$)\n", + "Statistical=0.717, p=0.000\n", + "DZA-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "DZA-Income share held by highest 10%\n", + "Statistical=0.624, p=0.000\n", + "DZA-Income share held by highest 20%\n", + "Statistical=0.884, p=0.003\n", + "DZA-Income share held by lowest 10%\n", + "Statistical=0.907, p=0.009\n", + "DZA-Income share held by lowest 20%\n", + "Statistical=0.907, p=0.009\n", + "DZA-Income share held by second 20%\n", + "Statistical=0.836, p=0.000\n", + "DZA-Income share held by third 20%\n", + "Statistical=0.880, p=0.002\n", + "DZA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.865, p=0.001\n", + "DZA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.831, p=0.000\n", + "DZA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.821, p=0.000\n", + "DZA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.879, p=0.002\n", + "DZA-Individuals using the Internet (% of population)\n", + "Statistical=0.783, p=0.000\n", + "DZA-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.787, p=0.000\n", + "DZA-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.485, p=0.000\n", + "DZA-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.654, p=0.000\n", + "DZA-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.654, p=0.000\n", + "DZA-Intentional homicides (per 100,000 people)\n", + "Statistical=0.654, p=0.000\n", + "DZA-Interest payments (% of revenue)\n", + "Statistical=0.654, p=0.000\n", + "DZA-International migrant stock (% of population)\n", + "Statistical=0.654, p=0.000\n", + "DZA-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.654, p=0.000\n", + "DZA-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.654, p=0.000\n", + "DZA-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.654, p=0.000\n", + "DZA-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.654, p=0.000\n", + "DZA-Land area (sq. km)\n", + "Statistical=0.654, p=0.000\n", + "DZA-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.654, p=0.000\n", + "DZA-Land under cereal production (hectares)\n", + "Statistical=0.654, p=0.000\n", + "DZA-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.850, p=0.000\n", + "DZA-Lifetime risk of maternal death (%)\n", + "Statistical=0.967, p=0.412\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.885, p=0.003\n", + "DZA-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.926, p=0.031\n", + "DZA-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.908, p=0.010\n", + "DZA-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.890, p=0.004\n", + "DZA-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.818, p=0.000\n", + "DZA-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.834, p=0.000\n", + "DZA-Low-birthweight babies (% of births)\n", + "Statistical=0.838, p=0.000\n", + "DZA-Lower secondary school starting age (years)\n", + "Statistical=0.827, p=0.000\n", + "DZA-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.800, p=0.000\n", + "DZA-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.836, p=0.000\n", + "DZA-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.782, p=0.000\n", + "DZA-Marine protected areas (% of territorial waters)\n", + "Statistical=0.825, p=0.000\n", + "DZA-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.785, p=0.000\n", + "DZA-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.904, p=0.008\n", + "DZA-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.825, p=0.000\n", + "DZA-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.889, p=0.003\n", + "DZA-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.630, p=0.000\n", + "DZA-Merchandise exports (current US$)\n", + "Statistical=0.933, p=0.048\n", + "DZA-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.669, p=0.000\n", + "DZA-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.917, p=0.017\n", + "DZA-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.733, p=0.000\n", + "DZA-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.951, p=0.157\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.662, p=0.000\n", + "DZA-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.965, p=0.366\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.693, p=0.000\n", + "DZA-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.963, p=0.334\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.691, p=0.000\n", + "DZA-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.841, p=0.000\n", + "DZA-Merchandise imports (current US$)\n", + "Statistical=0.822, p=0.000\n", + "DZA-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.802, p=0.000\n", + "DZA-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.853, p=0.000\n", + "DZA-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.895, p=0.005\n", + "DZA-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.881, p=0.002\n", + "DZA-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.887, p=0.003\n", + "DZA-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.967, p=0.418\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.916, p=0.016\n", + "DZA-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.953, p=0.172\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Merchandise trade (% of GDP)\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Methane emissions (% change from 1990)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.908, p=0.010\n", + "DZA-Military expenditure (% of GDP)\n", + "Statistical=0.896, p=0.005\n", + "DZA-Military expenditure (% of general government expenditure)\n", + "Statistical=0.950, p=0.147\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Military expenditure (current USD)\n", + "Statistical=0.970, p=0.505\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Mineral rents (% of GDP)\n", + "Statistical=0.570, p=0.000\n", + "DZA-Mobile cellular subscriptions\n", + "Statistical=0.950, p=0.148\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.970, p=0.509\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.892, p=0.004\n", + "DZA-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.841, p=0.000\n", + "DZA-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.763, p=0.000\n", + "DZA-Natural gas rents (% of GDP)\n", + "Statistical=0.922, p=0.023\n", + "DZA-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.876, p=0.002\n", + "DZA-Net capital account (BoP, current US$)\n", + "Statistical=0.961, p=0.285\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Net financial account (BoP, current US$)\n", + "Statistical=0.972, p=0.555\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Net migration\n", + "Statistical=0.853, p=0.000\n", + "DZA-Net primary income (BoP, current US$)\n", + "Statistical=0.853, p=0.000\n", + "DZA-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.866, p=0.001\n", + "DZA-Net secondary income (BoP, current US$)\n", + "Statistical=0.822, p=0.000\n", + "DZA-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Net trade in goods (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Net trade in goods and services (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-New businesses registered (number)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.731, p=0.000\n", + "DZA-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.745, p=0.000\n", + "DZA-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Number of deaths ages 10-14 years\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Number of deaths ages 15-19 years\n", + "Statistical=0.884, p=0.003\n", + "DZA-Number of deaths ages 20-24 years\n", + "Statistical=0.902, p=0.007\n", + "DZA-Number of deaths ages 5-9 years\n", + "Statistical=0.873, p=0.001\n", + "DZA-Number of infant deaths\n", + "Statistical=0.844, p=0.000\n", + "DZA-Number of maternal deaths\n", + "Statistical=0.968, p=0.446\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Number of neonatal deaths\n", + "Statistical=0.963, p=0.327\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Number of under-five deaths\n", + "Statistical=0.951, p=0.155\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.860, p=0.001\n", + "DZA-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.816, p=0.000\n", + "DZA-Oil rents (% of GDP)\n", + "Statistical=0.831, p=0.000\n", + "DZA-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.831, p=0.000\n", + "DZA-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.909, p=0.011\n", + "DZA-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.919, p=0.020\n", + "DZA-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.903, p=0.007\n", + "DZA-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.843, p=0.000\n", + "DZA-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.899, p=0.006\n", + "DZA-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.899, p=0.006\n", + "DZA-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.886, p=0.003\n", + "DZA-People using at least basic drinking water services (% of population)\n", + "Statistical=0.863, p=0.001\n", + "DZA-People using at least basic sanitation services (% of population)\n", + "Statistical=0.902, p=0.007\n", + "DZA-People using safely managed sanitation services (% of population)\n", + "Statistical=0.902, p=0.007\n", + "DZA-Permanent cropland (% of land area)\n", + "Statistical=0.976, p=0.682\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Physicians (per 1,000 people)\n", + "Statistical=0.883, p=0.002\n", + "DZA-Population ages 0-14 (% of total population)\n", + "Statistical=0.883, p=0.002\n", + "DZA-Population ages 15-64 (% of total population)\n", + "Statistical=0.888, p=0.003\n", + "DZA-Population ages 65 and above (% of total population)\n", + "Statistical=0.884, p=0.002\n", + "DZA-Population density (people per sq. km of land area)\n", + "Statistical=0.968, p=0.445\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Population growth (annual %)\n", + "Statistical=0.883, p=0.002\n", + "DZA-Population in largest city\n", + "Statistical=0.874, p=0.001\n", + "DZA-Population in the largest city (% of urban population)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.909, p=0.011\n", + "DZA-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.899, p=0.006\n", + "DZA-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.854, p=0.001\n", + "DZA-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.886, p=0.003\n", + "DZA-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Pregnant women receiving prenatal care (%)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Statistical=0.894, p=0.004\n", + "DZA-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.894, p=0.004\n", + "DZA-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.882, p=0.002\n", + "DZA-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.860, p=0.001\n", + "DZA-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.985, p=0.919\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.884, p=0.003\n", + "DZA-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.884, p=0.003\n", + "DZA-Prevalence of undernourishment (% of population)\n", + "Statistical=0.883, p=0.002\n", + "DZA-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.988, p=0.968\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Primary income payments (BoP, current US$)\n", + "Statistical=0.880, p=0.002\n", + "DZA-Primary income receipts (BoP, current US$)\n", + "Statistical=0.884, p=0.003\n", + "DZA-Primary school starting age (years)\n", + "Statistical=0.878, p=0.002\n", + "DZA-Private credit bureau coverage (% of adults)\n", + "Statistical=0.844, p=0.000\n", + "DZA-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.894, p=0.004\n", + "DZA-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.846, p=0.000\n", + "DZA-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.882, p=0.002\n", + "DZA-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.969, p=0.470\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Procedures to build a warehouse (number)\n", + "Statistical=0.912, p=0.013\n", + "DZA-Procedures to register property (number)\n", + "Statistical=0.892, p=0.004\n", + "DZA-Profit tax (% of commercial profits)\n", + "Statistical=0.892, p=0.004\n", + "DZA-Progression to secondary school (%)\n", + "Statistical=0.811, p=0.000\n", + "DZA-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.833, p=0.000\n", + "DZA-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.826, p=0.000\n", + "DZA-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.888, p=0.003\n", + "DZA-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.457, p=0.000\n", + "DZA-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.725, p=0.000\n", + "DZA-Public credit registry coverage (% of adults)\n", + "Statistical=0.747, p=0.000\n", + "DZA-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.634, p=0.000\n", + "DZA-Pump price for gasoline (US$ per liter)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Rail lines (total route-km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.963, p=0.340\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Refugee population by country or territory of asylum\n", + "Statistical=0.927, p=0.032\n", + "DZA-Refugee population by country or territory of origin\n", + "Statistical=0.952, p=0.165\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.854, p=0.001\n", + "DZA-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.854, p=0.001\n", + "DZA-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.853, p=0.000\n", + "DZA-Research and development expenditure (% of GDP)\n", + "Statistical=0.836, p=0.000\n", + "DZA-Researchers in R&D (per million people)\n", + "Statistical=0.858, p=0.001\n", + "DZA-Reserves and related items (BoP, current US$)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.882, p=0.002\n", + "DZA-Rural land area (sq. km)\n", + "Statistical=0.884, p=0.003\n", + "DZA-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.890, p=0.003\n", + "DZA-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Rural population\n", + "Statistical=0.855, p=0.001\n", + "DZA-Rural population (% of total population)\n", + "Statistical=0.855, p=0.001\n", + "DZA-Rural population growth (annual %)\n", + "Statistical=0.839, p=0.000\n", + "DZA-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.806, p=0.000\n", + "DZA-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.972, p=0.564\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Scientific and technical journal articles\n", + "Statistical=0.946, p=0.111\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.964, p=0.362\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Secure Internet servers\n", + "Statistical=0.969, p=0.482\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Secure Internet servers (per 1 million people)\n", + "Statistical=0.843, p=0.000\n", + "DZA-Service exports (BoP, current US$)\n", + "Statistical=0.843, p=0.000\n", + "DZA-Service imports (BoP, current US$)\n", + "Statistical=0.856, p=0.001\n", + "DZA-Sex ratio at birth (male births per female births)\n", + "Statistical=0.827, p=0.000\n", + "DZA-Social contributions (% of revenue)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.987, p=0.954\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Start-up procedures to register a business (number)\n", + "Statistical=0.983, p=0.870\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.790, p=0.000\n", + "DZA-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.770, p=0.000\n", + "DZA-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.861, p=0.001\n", + "DZA-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.861, p=0.001\n", + "DZA-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.833, p=0.000\n", + "DZA-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.842, p=0.000\n", + "DZA-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.671, p=0.000\n", + "DZA-Surface area (sq. km)\n", + "Statistical=0.843, p=0.000\n", + "DZA-Tax payments (number)\n", + "Statistical=0.884, p=0.002\n", + "DZA-Tax revenue (% of GDP)\n", + "Statistical=0.911, p=0.012\n", + "DZA-Taxes less subsidies on products (current US$)\n", + "Statistical=0.845, p=0.000\n", + "DZA-Taxes on goods and services (% of revenue)\n", + "Statistical=0.845, p=0.000\n", + "DZA-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.878, p=0.002\n", + "DZA-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.832, p=0.000\n", + "DZA-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.879, p=0.002\n", + "DZA-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.911, p=0.012\n", + "DZA-Time required to build a warehouse (days)\n", + "Statistical=0.845, p=0.000\n", + "DZA-Time required to enforce a contract (days)\n", + "Statistical=0.870, p=0.001\n", + "DZA-Time required to get electricity (days)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Time required to register property (days)\n", + "Statistical=0.878, p=0.002\n", + "DZA-Time required to start a business (days)\n", + "Statistical=0.487, p=0.000\n", + "DZA-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.495, p=0.000\n", + "DZA-Time to obtain an electrical connection (days)\n", + "Statistical=0.537, p=0.000\n", + "DZA-Time to prepare and pay taxes (hours)\n", + "Statistical=0.576, p=0.000\n", + "DZA-Time to resolve insolvency (years)\n", + "Statistical=0.739, p=0.000\n", + "DZA-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.664, p=0.000\n", + "DZA-Total fisheries production (metric tons)\n", + "Statistical=0.657, p=0.000\n", + "DZA-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.674, p=0.000\n", + "DZA-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.776, p=0.000\n", + "DZA-Total natural resources rents (% of GDP)\n", + "Statistical=0.796, p=0.000\n", + "DZA-Total reserves (includes gold, current US$)\n", + "Statistical=0.901, p=0.006\n", + "DZA-Total reserves in months of imports\n", + "Statistical=0.857, p=0.001\n", + "DZA-Total reserves minus gold (current US$)\n", + "Statistical=0.956, p=0.213\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Total tax and contribution rate (% of profit)\n", + "Statistical=0.905, p=0.008\n", + "DZA-Trade (% of GDP)\n", + "Statistical=0.639, p=0.000\n", + "DZA-Trade in services (% of GDP)\n", + "Statistical=0.896, p=0.005\n", + "DZA-Transport services (% of commercial service exports)\n", + "Statistical=0.953, p=0.177\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Transport services (% of commercial service imports)\n", + "Statistical=0.846, p=0.000\n", + "DZA-Transport services (% of service exports, BoP)\n", + "Statistical=0.863, p=0.001\n", + "DZA-Transport services (% of service imports, BoP)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Travel services (% of commercial service exports)\n", + "Statistical=0.881, p=0.002\n", + "DZA-Travel services (% of commercial service imports)\n", + "Statistical=0.967, p=0.416\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Travel services (% of service exports, BoP)\n", + "Statistical=0.886, p=0.003\n", + "DZA-Travel services (% of service imports, BoP)\n", + "Statistical=0.886, p=0.003\n", + "DZA-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.863, p=0.001\n", + "DZA-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.837, p=0.000\n", + "DZA-UHC service coverage index\n", + "Statistical=0.905, p=0.008\n", + "DZA-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.808, p=0.000\n", + "DZA-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.826, p=0.000\n", + "DZA-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.826, p=0.000\n", + "DZA-Urban land area (sq. km)\n", + "Statistical=0.826, p=0.000\n", + "DZA-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.826, p=0.000\n", + "DZA-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.826, p=0.000\n", + "DZA-Urban population\n", + "Statistical=0.826, p=0.000\n", + "DZA-Urban population (% of total population)\n", + "Statistical=0.826, p=0.000\n", + "DZA-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-GDP (current US$)+2\n", + "Statistical=0.818, p=0.000\n", + "DZA-GDP (current US$)+3\n", + "Statistical=0.653, p=0.000\n", + "DZA-GDP (current US$)+5\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-GDP (current US$)+8\n", + "Statistical=0.918, p=0.018\n", + "DZA-GDP (current US$)+13\n", + "Statistical=0.881, p=0.002\n", + "DZA-GDP (current US$)+21\n", + "Statistical=0.881, p=0.002\n", + "DZA-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.868, p=0.001\n", + "DZA-Deposit interest rate (%)\n", + "Statistical=0.867, p=0.001\n", + "DZA-Other taxes (% of revenue)\n", + "Statistical=0.787, p=0.000\n", + "DZA-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.966, p=0.389\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Taxes on international trade (% of revenue)\n", + "Statistical=0.966, p=0.389\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.961, p=0.292\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-Broad money (% of GDP)\n", + "Statistical=0.767, p=0.000\n", + "DZA-Broad money growth (annual %)\n", + "Statistical=0.765, p=0.000\n", + "DZA-Broad money to total reserves ratio\n", + "Statistical=0.786, p=0.000\n", + "DZA-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.764, p=0.000\n", + "DZA-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.823, p=0.000\n", + "DZA-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-External health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "DZA-External health expenditure per capita (current US$)\n", + "Statistical=0.513, p=0.000\n", + "DZA-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.907, p=0.010\n", + "DZA-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.820, p=0.000\n", + "DZA-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.774, p=0.000\n", + "DZA-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.805, p=0.000\n", + "DZA-People practicing open defecation (% of population)\n", + "Statistical=0.756, p=0.000\n", + "DZA-Taxes on exports (% of tax revenue)\n", + "Statistical=0.887, p=0.003\n", + "DZA-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.874, p=0.001\n", + "DZA-Country\n", + "Statistical=0.788, p=0.000\n", + "DZA-Year\n", + "Statistical=0.775, p=0.000\n", + "DZA-Continent\n", + "Statistical=0.763, p=0.000\n", + "EGY-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Adjusted net national income (current US$)\n", + "Statistical=0.744, p=0.000\n", + "EGY-Adjusted net national income per capita (current US$)\n", + "Statistical=0.739, p=0.000\n", + "EGY-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.774, p=0.000\n", + "EGY-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.852, p=0.000\n", + "EGY-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.843, p=0.000\n", + "EGY-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.902, p=0.007\n", + "EGY-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.570, p=0.000\n", + "EGY-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.557, p=0.000\n", + "EGY-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.578, p=0.000\n", + "EGY-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.579, p=0.000\n", + "EGY-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.535, p=0.000\n", + "EGY-Age dependency ratio (% of working-age population)\n", + "Statistical=0.552, p=0.000\n", + "EGY-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.581, p=0.000\n", + "EGY-Agricultural land (% of land area)\n", + "Statistical=0.586, p=0.000\n", + "EGY-Agricultural land (sq. km)\n", + "Statistical=0.547, p=0.000\n", + "EGY-Agricultural methane emissions (% of total)\n", + "Statistical=0.836, p=0.000\n", + "EGY-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.698, p=0.000\n", + "EGY-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.813, p=0.000\n", + "EGY-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.932, p=0.045\n", + "EGY-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.870, p=0.001\n", + "EGY-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.965, p=0.375\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Aquaculture production (metric tons)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Arable land (% of land area)\n", + "Statistical=0.900, p=0.006\n", + "EGY-Arable land (hectares per person)\n", + "Statistical=0.945, p=0.101\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Arable land (hectares)\n", + "Statistical=0.985, p=0.923\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Armed forces personnel (% of total labor force)\n", + "Statistical=0.957, p=0.227\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.979, p=0.783\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.859, p=0.001\n", + "EGY-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.902, p=0.007\n", + "EGY-Average precipitation in depth (mm per year)\n", + "Statistical=0.925, p=0.029\n", + "EGY-Average time to clear exports through customs (days)\n", + "Statistical=0.873, p=0.001\n", + "EGY-Births attended by skilled health staff (% of total)\n", + "Statistical=0.540, p=0.000\n", + "EGY-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.878, p=0.002\n", + "EGY-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.964, p=0.349\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.895, p=0.005\n", + "EGY-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.919, p=0.020\n", + "EGY-CO2 emissions (kt)\n", + "Statistical=0.750, p=0.000\n", + "EGY-CO2 emissions (metric tons per capita)\n", + "Statistical=0.690, p=0.000\n", + "EGY-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.964, p=0.357\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=0.880, p=0.002\n", + "EGY-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.920, p=0.021\n", + "EGY-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.856, p=0.001\n", + "EGY-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.843, p=0.000\n", + "EGY-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.880, p=0.002\n", + "EGY-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.804, p=0.000\n", + "EGY-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.931, p=0.042\n", + "EGY-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.932, p=0.044\n", + "EGY-Capture fisheries production (metric tons)\n", + "Statistical=0.850, p=0.000\n", + "EGY-Cereal production (metric tons)\n", + "Statistical=0.856, p=0.001\n", + "EGY-Cereal yield (kg per hectare)\n", + "Statistical=0.906, p=0.009\n", + "EGY-Changes in inventories (current US$)\n", + "Statistical=0.842, p=0.000\n", + "EGY-Chemicals (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Children out of school (% of primary school age)\n", + "Statistical=0.906, p=0.009\n", + "EGY-Coal rents (% of GDP)\n", + "Statistical=0.906, p=0.009\n", + "EGY-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.794, p=0.000\n", + "EGY-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.689, p=0.000\n", + "EGY-Commercial service exports (current US$)\n", + "Statistical=0.658, p=0.000\n", + "EGY-Commercial service imports (current US$)\n", + "Statistical=0.964, p=0.346\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Completeness of birth registration (%)\n", + "Statistical=0.905, p=0.008\n", + "EGY-Consumer price index (2010 = 100)\n", + "Statistical=0.843, p=0.000\n", + "EGY-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.814, p=0.000\n", + "EGY-Crop production index (2014-2016 = 100)\n", + "Statistical=0.910, p=0.011\n", + "EGY-Current account balance (% of GDP)\n", + "Statistical=0.907, p=0.010\n", + "EGY-Current account balance (BoP, current US$)\n", + "Statistical=0.976, p=0.675\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Current health expenditure (% of GDP)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Current health expenditure per capita (current US$)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.810, p=0.000\n", + "EGY-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.895, p=0.005\n", + "EGY-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.929, p=0.036\n", + "EGY-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.948, p=0.129\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.841, p=0.000\n", + "EGY-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.822, p=0.000\n", + "EGY-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.834, p=0.000\n", + "EGY-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.730, p=0.000\n", + "EGY-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.838, p=0.000\n", + "EGY-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.855, p=0.001\n", + "EGY-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.888, p=0.003\n", + "EGY-Electric power consumption (kWh per capita)\n", + "Statistical=0.881, p=0.002\n", + "EGY-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.884, p=0.002\n", + "EGY-Electricity production from coal sources (% of total)\n", + "Statistical=0.881, p=0.002\n", + "EGY-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.951, p=0.156\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.803, p=0.000\n", + "EGY-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.798, p=0.000\n", + "EGY-Electricity production from oil sources (% of total)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.776, p=0.000\n", + "EGY-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.747, p=0.000\n", + "EGY-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.842, p=0.000\n", + "EGY-Energy related methane emissions (% of total)\n", + "Statistical=0.795, p=0.000\n", + "EGY-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.710, p=0.000\n", + "EGY-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.905, p=0.008\n", + "EGY-Export unit value index (2000 = 100)\n", + "Statistical=0.883, p=0.002\n", + "EGY-Export value index (2000 = 100)\n", + "Statistical=0.834, p=0.000\n", + "EGY-Export volume index (2000 = 100)\n", + "Statistical=0.822, p=0.000\n", + "EGY-Exports of goods and services (% of GDP)\n", + "Statistical=0.728, p=0.000\n", + "EGY-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.932, p=0.045\n", + "EGY-Exports of goods and services (current US$)\n", + "Statistical=0.793, p=0.000\n", + "EGY-External balance on goods and services (% of GDP)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-External balance on goods and services (current US$)\n", + "Statistical=0.926, p=0.029\n", + "EGY-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.655, p=0.000\n", + "EGY-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.927, p=0.032\n", + "EGY-Final consumption expenditure (% of GDP)\n", + "Statistical=0.927, p=0.032\n", + "EGY-Final consumption expenditure (current US$)\n", + "Statistical=0.910, p=0.011\n", + "EGY-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.889, p=0.003\n", + "EGY-Firms offering formal training (% of firms)\n", + "Statistical=0.833, p=0.000\n", + "EGY-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.857, p=0.001\n", + "EGY-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.840, p=0.000\n", + "EGY-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.854, p=0.001\n", + "EGY-Fixed broadband subscriptions\n", + "Statistical=0.849, p=0.000\n", + "EGY-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.913, p=0.014\n", + "EGY-Fixed telephone subscriptions\n", + "Statistical=0.893, p=0.004\n", + "EGY-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Food exports (% of merchandise exports)\n", + "Statistical=0.827, p=0.000\n", + "EGY-Food imports (% of merchandise imports)\n", + "Statistical=0.917, p=0.017\n", + "EGY-Food production index (2014-2016 = 100)\n", + "Statistical=0.875, p=0.002\n", + "EGY-Forest area (% of land area)\n", + "Statistical=0.914, p=0.014\n", + "EGY-Forest area (sq. km)\n", + "Statistical=0.872, p=0.001\n", + "EGY-Forest rents (% of GDP)\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.831, p=0.000\n", + "EGY-Fuel exports (% of merchandise exports)\n", + "Statistical=0.911, p=0.012\n", + "EGY-Fuel imports (% of merchandise imports)\n", + "Statistical=0.837, p=0.000\n", + "EGY-GDP (current US$)\n", + "Statistical=0.895, p=0.005\n", + "EGY-GDP deflator (base year varies by country)\n", + "Statistical=0.817, p=0.000\n", + "EGY-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.946, p=0.111\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-GDP growth (annual %)\n", + "Statistical=0.960, p=0.276\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-GDP per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.932, p=0.044\n", + "EGY-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.836, p=0.000\n", + "EGY-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.719, p=0.000\n", + "EGY-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.709, p=0.000\n", + "EGY-GNI (current US$)\n", + "Statistical=0.833, p=0.000\n", + "EGY-GNI growth (annual %)\n", + "Statistical=0.831, p=0.000\n", + "EGY-GNI per capita growth (annual %)\n", + "Statistical=0.685, p=0.000\n", + "EGY-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.923, p=0.024\n", + "EGY-General government final consumption expenditure (current US$)\n", + "Statistical=0.926, p=0.030\n", + "EGY-Gini index\n", + "Statistical=0.962, p=0.313\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Goods imports (BoP, current US$)\n", + "Statistical=0.861, p=0.001\n", + "EGY-Grants and other revenue (% of revenue)\n", + "Statistical=0.748, p=0.000\n", + "EGY-Gross capital formation (% of GDP)\n", + "Statistical=0.926, p=0.031\n", + "EGY-Gross capital formation (current US$)\n", + "Statistical=0.891, p=0.004\n", + "EGY-Gross domestic savings (% of GDP)\n", + "Statistical=0.933, p=0.049\n", + "EGY-Gross domestic savings (current US$)\n", + "Statistical=0.914, p=0.014\n", + "EGY-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.732, p=0.000\n", + "EGY-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Gross national expenditure (current US$)\n", + "Statistical=0.511, p=0.000\n", + "EGY-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.910, p=0.011\n", + "EGY-Gross savings (% of GDP)\n", + "Statistical=0.921, p=0.022\n", + "EGY-Gross savings (current US$)\n", + "Statistical=0.820, p=0.000\n", + "EGY-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.800, p=0.000\n", + "EGY-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.727, p=0.000\n", + "EGY-High-technology exports (% of manufactured exports)\n", + "Statistical=0.701, p=0.000\n", + "EGY-High-technology exports (current US$)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Hospital beds (per 1,000 people)\n", + "Statistical=0.842, p=0.000\n", + "EGY-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.919, p=0.020\n", + "EGY-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.732, p=0.000\n", + "EGY-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.732, p=0.000\n", + "EGY-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.732, p=0.000\n", + "EGY-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=0.478, p=0.000\n", + "EGY-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.911, p=0.012\n", + "EGY-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.918, p=0.018\n", + "EGY-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.928, p=0.035\n", + "EGY-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-ICT goods exports (% of total goods exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-ICT goods imports (% total goods imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.920, p=0.020\n", + "EGY-ICT service exports (BoP, current US$)\n", + "Statistical=0.841, p=0.000\n", + "EGY-Import unit value index (2000 = 100)\n", + "Statistical=0.824, p=0.000\n", + "EGY-Import value index (2000 = 100)\n", + "Statistical=0.842, p=0.000\n", + "EGY-Import volume index (2000 = 100)\n", + "Statistical=0.846, p=0.000\n", + "EGY-Imports of goods and services (% of GDP)\n", + "Statistical=0.895, p=0.005\n", + "EGY-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.884, p=0.002\n", + "EGY-Imports of goods and services (current US$)\n", + "Statistical=0.903, p=0.007\n", + "EGY-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "EGY-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Income share held by lowest 10%\n", + "Statistical=0.869, p=0.001\n", + "EGY-Income share held by lowest 20%\n", + "Statistical=0.869, p=0.001\n", + "EGY-Income share held by second 20%\n", + "Statistical=0.893, p=0.004\n", + "EGY-Income share held by third 20%\n", + "Statistical=0.825, p=0.000\n", + "EGY-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.840, p=0.000\n", + "EGY-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.902, p=0.007\n", + "EGY-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.856, p=0.001\n", + "EGY-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.882, p=0.002\n", + "EGY-Individuals using the Internet (% of population)\n", + "Statistical=0.814, p=0.000\n", + "EGY-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.793, p=0.000\n", + "EGY-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.448, p=0.000\n", + "EGY-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.822, p=0.000\n", + "EGY-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.796, p=0.000\n", + "EGY-Intentional homicides (per 100,000 people)\n", + "Statistical=0.773, p=0.000\n", + "EGY-Interest payments (% of revenue)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-International migrant stock (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.734, p=0.000\n", + "EGY-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.734, p=0.000\n", + "EGY-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.734, p=0.000\n", + "EGY-Land area (sq. km)\n", + "Statistical=0.734, p=0.000\n", + "EGY-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.734, p=0.000\n", + "EGY-Land under cereal production (hectares)\n", + "Statistical=0.734, p=0.000\n", + "EGY-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.841, p=0.000\n", + "EGY-Lifetime risk of maternal death (%)\n", + "Statistical=0.960, p=0.268\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.838, p=0.000\n", + "EGY-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.891, p=0.004\n", + "EGY-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.843, p=0.000\n", + "EGY-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.965, p=0.370\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.913, p=0.013\n", + "EGY-Low-birthweight babies (% of births)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Lower secondary school starting age (years)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.973, p=0.577\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.912, p=0.013\n", + "EGY-Marine protected areas (% of territorial waters)\n", + "Statistical=0.919, p=0.020\n", + "EGY-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.904, p=0.008\n", + "EGY-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.932, p=0.044\n", + "EGY-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.923, p=0.025\n", + "EGY-Merchandise exports (current US$)\n", + "Statistical=0.962, p=0.315\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.973, p=0.572\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.962, p=0.309\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.981, p=0.840\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.740, p=0.000\n", + "EGY-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.965, p=0.381\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.708, p=0.000\n", + "EGY-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.926, p=0.031\n", + "EGY-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.684, p=0.000\n", + "EGY-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.834, p=0.000\n", + "EGY-Merchandise imports (current US$)\n", + "Statistical=0.883, p=0.002\n", + "EGY-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.847, p=0.000\n", + "EGY-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.855, p=0.001\n", + "EGY-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.357, p=0.000\n", + "EGY-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.826, p=0.000\n", + "EGY-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.816, p=0.000\n", + "EGY-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.867, p=0.001\n", + "EGY-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.897, p=0.005\n", + "EGY-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.953, p=0.181\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.870, p=0.001\n", + "EGY-Merchandise trade (% of GDP)\n", + "Statistical=0.968, p=0.448\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Methane emissions (% change from 1990)\n", + "Statistical=0.876, p=0.002\n", + "EGY-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.876, p=0.002\n", + "EGY-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.837, p=0.000\n", + "EGY-Military expenditure (% of GDP)\n", + "Statistical=0.851, p=0.000\n", + "EGY-Military expenditure (% of general government expenditure)\n", + "Statistical=0.882, p=0.002\n", + "EGY-Military expenditure (current USD)\n", + "Statistical=0.977, p=0.704\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Mineral rents (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Mobile cellular subscriptions\n", + "Statistical=0.729, p=0.000\n", + "EGY-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.823, p=0.000\n", + "EGY-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.910, p=0.012\n", + "EGY-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.775, p=0.000\n", + "EGY-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.864, p=0.001\n", + "EGY-Natural gas rents (% of GDP)\n", + "Statistical=0.876, p=0.002\n", + "EGY-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.889, p=0.003\n", + "EGY-Net capital account (BoP, current US$)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.894, p=0.004\n", + "EGY-Net financial account (BoP, current US$)\n", + "Statistical=0.954, p=0.189\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Net migration\n", + "Statistical=0.917, p=0.017\n", + "EGY-Net primary income (BoP, current US$)\n", + "Statistical=0.917, p=0.017\n", + "EGY-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.776, p=0.000\n", + "EGY-Net secondary income (BoP, current US$)\n", + "Statistical=0.858, p=0.001\n", + "EGY-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.727, p=0.000\n", + "EGY-Net trade in goods (BoP, current US$)\n", + "Statistical=0.709, p=0.000\n", + "EGY-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.630, p=0.000\n", + "EGY-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.763, p=0.000\n", + "EGY-New businesses registered (number)\n", + "Statistical=0.742, p=0.000\n", + "EGY-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.709, p=0.000\n", + "EGY-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.731, p=0.000\n", + "EGY-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Number of deaths ages 10-14 years\n", + "Statistical=0.957, p=0.233\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Number of deaths ages 15-19 years\n", + "Statistical=0.874, p=0.001\n", + "EGY-Number of deaths ages 20-24 years\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Number of deaths ages 5-9 years\n", + "Statistical=0.891, p=0.004\n", + "EGY-Number of infant deaths\n", + "Statistical=0.958, p=0.238\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Number of maternal deaths\n", + "Statistical=0.883, p=0.002\n", + "EGY-Number of neonatal deaths\n", + "Statistical=0.961, p=0.298\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Number of under-five deaths\n", + "Statistical=0.870, p=0.001\n", + "EGY-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.911, p=0.012\n", + "EGY-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.846, p=0.000\n", + "EGY-Oil rents (% of GDP)\n", + "Statistical=0.897, p=0.005\n", + "EGY-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.897, p=0.005\n", + "EGY-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.941, p=0.081\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.868, p=0.001\n", + "EGY-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.969, p=0.479\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.892, p=0.004\n", + "EGY-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.931, p=0.041\n", + "EGY-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.931, p=0.041\n", + "EGY-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.794, p=0.000\n", + "EGY-People using at least basic drinking water services (% of population)\n", + "Statistical=0.868, p=0.001\n", + "EGY-People using at least basic sanitation services (% of population)\n", + "Statistical=0.807, p=0.000\n", + "EGY-People using safely managed sanitation services (% of population)\n", + "Statistical=0.807, p=0.000\n", + "EGY-Permanent cropland (% of land area)\n", + "Statistical=0.983, p=0.892\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Physicians (per 1,000 people)\n", + "Statistical=0.924, p=0.027\n", + "EGY-Population ages 0-14 (% of total population)\n", + "Statistical=0.924, p=0.027\n", + "EGY-Population ages 15-64 (% of total population)\n", + "Statistical=0.815, p=0.000\n", + "EGY-Population ages 65 and above (% of total population)\n", + "Statistical=0.874, p=0.001\n", + "EGY-Population density (people per sq. km of land area)\n", + "Statistical=0.983, p=0.878\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Population growth (annual %)\n", + "Statistical=0.924, p=0.027\n", + "EGY-Population in largest city\n", + "Statistical=0.906, p=0.009\n", + "EGY-Population in the largest city (% of urban population)\n", + "Statistical=0.927, p=0.032\n", + "EGY-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.891, p=0.004\n", + "EGY-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.931, p=0.041\n", + "EGY-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.907, p=0.009\n", + "EGY-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.794, p=0.000\n", + "EGY-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.796, p=0.000\n", + "EGY-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.873, p=0.001\n", + "EGY-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.982, p=0.859\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.926, p=0.030\n", + "EGY-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.926, p=0.030\n", + "EGY-Prevalence of undernourishment (% of population)\n", + "Statistical=0.818, p=0.000\n", + "EGY-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.979, p=0.760\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Primary income payments (BoP, current US$)\n", + "Statistical=0.875, p=0.002\n", + "EGY-Primary income receipts (BoP, current US$)\n", + "Statistical=0.926, p=0.030\n", + "EGY-Primary school starting age (years)\n", + "Statistical=0.909, p=0.011\n", + "EGY-Private credit bureau coverage (% of adults)\n", + "Statistical=0.852, p=0.000\n", + "EGY-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.911, p=0.012\n", + "EGY-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.796, p=0.000\n", + "EGY-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.917, p=0.017\n", + "EGY-Procedures to build a warehouse (number)\n", + "Statistical=0.988, p=0.969\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Procedures to register property (number)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Profit tax (% of commercial profits)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Progression to secondary school (%)\n", + "Statistical=0.812, p=0.000\n", + "EGY-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.902, p=0.007\n", + "EGY-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.923, p=0.025\n", + "EGY-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.837, p=0.000\n", + "EGY-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.820, p=0.000\n", + "EGY-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.921, p=0.022\n", + "EGY-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.657, p=0.000\n", + "EGY-Public credit registry coverage (% of adults)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Pump price for gasoline (US$ per liter)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Rail lines (total route-km)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.836, p=0.000\n", + "EGY-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.970, p=0.503\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Refugee population by country or territory of asylum\n", + "Statistical=0.969, p=0.461\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Refugee population by country or territory of origin\n", + "Statistical=0.919, p=0.019\n", + "EGY-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.931, p=0.043\n", + "EGY-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.931, p=0.043\n", + "EGY-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.814, p=0.000\n", + "EGY-Research and development expenditure (% of GDP)\n", + "Statistical=0.878, p=0.002\n", + "EGY-Researchers in R&D (per million people)\n", + "Statistical=0.931, p=0.041\n", + "EGY-Reserves and related items (BoP, current US$)\n", + "Statistical=0.894, p=0.004\n", + "EGY-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.857, p=0.001\n", + "EGY-Rural land area (sq. km)\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.962, p=0.308\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.947, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Rural population\n", + "Statistical=0.931, p=0.043\n", + "EGY-Rural population (% of total population)\n", + "Statistical=0.931, p=0.043\n", + "EGY-Rural population growth (annual %)\n", + "Statistical=0.810, p=0.000\n", + "EGY-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.884, p=0.002\n", + "EGY-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.832, p=0.000\n", + "EGY-Scientific and technical journal articles\n", + "Statistical=0.840, p=0.000\n", + "EGY-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.827, p=0.000\n", + "EGY-Secure Internet servers\n", + "Statistical=0.977, p=0.704\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Secure Internet servers (per 1 million people)\n", + "Statistical=0.914, p=0.014\n", + "EGY-Service exports (BoP, current US$)\n", + "Statistical=0.914, p=0.015\n", + "EGY-Service imports (BoP, current US$)\n", + "Statistical=0.782, p=0.000\n", + "EGY-Sex ratio at birth (male births per female births)\n", + "Statistical=0.863, p=0.001\n", + "EGY-Social contributions (% of revenue)\n", + "Statistical=0.825, p=0.000\n", + "EGY-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.923, p=0.026\n", + "EGY-Start-up procedures to register a business (number)\n", + "Statistical=0.921, p=0.022\n", + "EGY-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.858, p=0.001\n", + "EGY-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.864, p=0.001\n", + "EGY-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.923, p=0.024\n", + "EGY-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.923, p=0.024\n", + "EGY-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.789, p=0.000\n", + "EGY-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.851, p=0.000\n", + "EGY-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.748, p=0.000\n", + "EGY-Surface area (sq. km)\n", + "Statistical=0.819, p=0.000\n", + "EGY-Tax payments (number)\n", + "Statistical=0.828, p=0.000\n", + "EGY-Tax revenue (% of GDP)\n", + "Statistical=0.969, p=0.480\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Taxes less subsidies on products (current US$)\n", + "Statistical=0.912, p=0.013\n", + "EGY-Taxes on goods and services (% of revenue)\n", + "Statistical=0.912, p=0.013\n", + "EGY-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.770, p=0.000\n", + "EGY-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.856, p=0.001\n", + "EGY-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.900, p=0.006\n", + "EGY-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.966, p=0.407\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Time required to build a warehouse (days)\n", + "Statistical=0.912, p=0.013\n", + "EGY-Time required to enforce a contract (days)\n", + "Statistical=0.890, p=0.003\n", + "EGY-Time required to get electricity (days)\n", + "Statistical=0.894, p=0.004\n", + "EGY-Time required to register property (days)\n", + "Statistical=0.770, p=0.000\n", + "EGY-Time required to start a business (days)\n", + "Statistical=0.603, p=0.000\n", + "EGY-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.633, p=0.000\n", + "EGY-Time to obtain an electrical connection (days)\n", + "Statistical=0.606, p=0.000\n", + "EGY-Time to prepare and pay taxes (hours)\n", + "Statistical=0.644, p=0.000\n", + "EGY-Time to resolve insolvency (years)\n", + "Statistical=0.468, p=0.000\n", + "EGY-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.462, p=0.000\n", + "EGY-Total fisheries production (metric tons)\n", + "Statistical=0.426, p=0.000\n", + "EGY-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.630, p=0.000\n", + "EGY-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.640, p=0.000\n", + "EGY-Total natural resources rents (% of GDP)\n", + "Statistical=0.616, p=0.000\n", + "EGY-Total reserves (includes gold, current US$)\n", + "Statistical=0.918, p=0.019\n", + "EGY-Total reserves in months of imports\n", + "Statistical=0.922, p=0.023\n", + "EGY-Total reserves minus gold (current US$)\n", + "Statistical=0.886, p=0.003\n", + "EGY-Total tax and contribution rate (% of profit)\n", + "Statistical=0.860, p=0.001\n", + "EGY-Trade (% of GDP)\n", + "Statistical=0.842, p=0.000\n", + "EGY-Trade in services (% of GDP)\n", + "Statistical=0.914, p=0.014\n", + "EGY-Transport services (% of commercial service exports)\n", + "Statistical=0.892, p=0.004\n", + "EGY-Transport services (% of commercial service imports)\n", + "Statistical=0.830, p=0.000\n", + "EGY-Transport services (% of service exports, BoP)\n", + "Statistical=0.873, p=0.001\n", + "EGY-Transport services (% of service imports, BoP)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Travel services (% of commercial service exports)\n", + "Statistical=0.833, p=0.000\n", + "EGY-Travel services (% of commercial service imports)\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Travel services (% of service exports, BoP)\n", + "Statistical=0.871, p=0.001\n", + "EGY-Travel services (% of service imports, BoP)\n", + "Statistical=0.871, p=0.001\n", + "EGY-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.829, p=0.000\n", + "EGY-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.827, p=0.000\n", + "EGY-UHC service coverage index\n", + "Statistical=0.837, p=0.000\n", + "EGY-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.864, p=0.001\n", + "EGY-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.976, p=0.666\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Urban land area (sq. km)\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.891, p=0.004\n", + "EGY-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.926, p=0.030\n", + "EGY-Urban population\n", + "Statistical=0.968, p=0.435\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Urban population (% of total population)\n", + "Statistical=0.987, p=0.953\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Urban population growth (annual %)\n", + "Statistical=0.798, p=0.000\n", + "EGY-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.798, p=0.000\n", + "EGY-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.826, p=0.000\n", + "EGY-GDP (current US$)+1\n", + "Statistical=0.826, p=0.000\n", + "EGY-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-GDP (current US$)+2\n", + "Statistical=0.741, p=0.000\n", + "EGY-GDP (current US$)+3\n", + "Statistical=0.908, p=0.010\n", + "EGY-GDP (current US$)+5\n", + "Statistical=0.967, p=0.432\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-GDP (current US$)+8\n", + "Statistical=0.916, p=0.016\n", + "EGY-GDP (current US$)+13\n", + "Statistical=0.920, p=0.021\n", + "EGY-GDP (current US$)+21\n", + "Statistical=0.920, p=0.021\n", + "EGY-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.779, p=0.000\n", + "EGY-Deposit interest rate (%)\n", + "Statistical=0.844, p=0.000\n", + "EGY-Other taxes (% of revenue)\n", + "Statistical=0.844, p=0.000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EGY-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.971, p=0.534\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Taxes on international trade (% of revenue)\n", + "Statistical=0.971, p=0.534\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.961, p=0.302\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Broad money (% of GDP)\n", + "Statistical=0.914, p=0.014\n", + "EGY-Broad money growth (annual %)\n", + "Statistical=0.880, p=0.002\n", + "EGY-Broad money to total reserves ratio\n", + "Statistical=0.915, p=0.016\n", + "EGY-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.889, p=0.003\n", + "EGY-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.797, p=0.000\n", + "EGY-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.900, p=0.006\n", + "EGY-External health expenditure (% of current health expenditure)\n", + "Statistical=0.799, p=0.000\n", + "EGY-External health expenditure per capita (current US$)\n", + "Statistical=0.362, p=0.000\n", + "EGY-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.775, p=0.000\n", + "EGY-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.741, p=0.000\n", + "EGY-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.919, p=0.020\n", + "EGY-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.873, p=0.001\n", + "EGY-People practicing open defecation (% of population)\n", + "Statistical=0.888, p=0.003\n", + "EGY-Taxes on exports (% of tax revenue)\n", + "Statistical=0.873, p=0.001\n", + "EGY-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.900, p=0.006\n", + "EGY-Country\n", + "Statistical=0.966, p=0.390\n", + "Data is NORMAL ( H0 not denied )\n", + "EGY-Year\n", + "Statistical=0.872, p=0.001\n", + "EGY-Continent\n", + "Statistical=0.895, p=0.005\n", + "LBY-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Adjusted net national income (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Adjusted net national income per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.854, p=0.001\n", + "LBY-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.779, p=0.000\n", + "LBY-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Adjusted savings: net national savings (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Age dependency ratio (% of working-age population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Agricultural land (% of land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Agricultural land (sq. km)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Agricultural methane emissions (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.843, p=0.000\n", + "LBY-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Aquaculture production (metric tons)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Arable land (% of land area)\n", + "Statistical=0.847, p=0.000\n", + "LBY-Arable land (hectares per person)\n", + "Statistical=0.688, p=0.000\n", + "LBY-Arable land (hectares)\n", + "Statistical=0.712, p=0.000\n", + "LBY-Armed forces personnel (% of total labor force)\n", + "Statistical=0.688, p=0.000\n", + "LBY-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.712, p=0.000\n", + "LBY-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.909, p=0.011\n", + "LBY-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.900, p=0.006\n", + "LBY-Average precipitation in depth (mm per year)\n", + "Statistical=0.880, p=0.002\n", + "LBY-Average time to clear exports through customs (days)\n", + "Statistical=0.968, p=0.458\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Births attended by skilled health staff (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.838, p=0.000\n", + "LBY-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.837, p=0.000\n", + "LBY-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.881, p=0.002\n", + "LBY-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.687, p=0.000\n", + "LBY-CO2 emissions (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-CO2 emissions (metric tons per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.837, p=0.000\n", + "LBY-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=0.757, p=0.000\n", + "LBY-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=0.870, p=0.001\n", + "LBY-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.688, p=0.000\n", + "LBY-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.711, p=0.000\n", + "LBY-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.827, p=0.000\n", + "LBY-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.751, p=0.000\n", + "LBY-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Capture fisheries production (metric tons)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Cereal production (metric tons)\n", + "Statistical=0.814, p=0.000\n", + "LBY-Cereal yield (kg per hectare)\n", + "Statistical=0.974, p=0.630\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Changes in inventories (current US$)\n", + "Statistical=0.822, p=0.000\n", + "LBY-Chemicals (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Children out of school (% of primary school age)\n", + "Statistical=0.839, p=0.000\n", + "LBY-Coal rents (% of GDP)\n", + "Statistical=0.839, p=0.000\n", + "LBY-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.627, p=0.000\n", + "LBY-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.615, p=0.000\n", + "LBY-Commercial service exports (current US$)\n", + "Statistical=0.791, p=0.000\n", + "LBY-Commercial service imports (current US$)\n", + "Statistical=0.879, p=0.002\n", + "LBY-Completeness of birth registration (%)\n", + "Statistical=0.847, p=0.000\n", + "LBY-Consumer price index (2010 = 100)\n", + "Statistical=0.862, p=0.001\n", + "LBY-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.696, p=0.000\n", + "LBY-Crop production index (2014-2016 = 100)\n", + "Statistical=0.774, p=0.000\n", + "LBY-Current account balance (% of GDP)\n", + "Statistical=0.697, p=0.000\n", + "LBY-Current account balance (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Current health expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Current health expenditure per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.698, p=0.000\n", + "LBY-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.689, p=0.000\n", + "LBY-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.706, p=0.000\n", + "LBY-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.899, p=0.006\n", + "LBY-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.731, p=0.000\n", + "LBY-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.853, p=0.000\n", + "LBY-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.876, p=0.002\n", + "LBY-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.805, p=0.000\n", + "LBY-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.805, p=0.000\n", + "LBY-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.767, p=0.000\n", + "LBY-Electric power consumption (kWh per capita)\n", + "Statistical=0.834, p=0.000\n", + "LBY-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.882, p=0.002\n", + "LBY-Electricity production from coal sources (% of total)\n", + "Statistical=0.834, p=0.000\n", + "LBY-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.697, p=0.000\n", + "LBY-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.761, p=0.000\n", + "LBY-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.864, p=0.001\n", + "LBY-Electricity production from oil sources (% of total)\n", + "Statistical=0.688, p=0.000\n", + "LBY-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.793, p=0.000\n", + "LBY-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Energy related methane emissions (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Energy use (kg of oil equivalent per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.902, p=0.007\n", + "LBY-Export unit value index (2000 = 100)\n", + "Statistical=0.812, p=0.000\n", + "LBY-Export value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Export volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Exports of goods and services (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.860, p=0.001\n", + "LBY-Exports of goods and services (current US$)\n", + "Statistical=0.809, p=0.000\n", + "LBY-External balance on goods and services (% of GDP)\n", + "Statistical=0.962, p=0.319\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-External balance on goods and services (current US$)\n", + "Statistical=0.805, p=0.000\n", + "LBY-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.585, p=0.000\n", + "LBY-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.802, p=0.000\n", + "LBY-Final consumption expenditure (% of GDP)\n", + "Statistical=0.802, p=0.000\n", + "LBY-Final consumption expenditure (current US$)\n", + "Statistical=0.893, p=0.004\n", + "LBY-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.933, p=0.047\n", + "LBY-Firms offering formal training (% of firms)\n", + "Statistical=0.962, p=0.320\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.929, p=0.037\n", + "LBY-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.931, p=0.042\n", + "LBY-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.910, p=0.011\n", + "LBY-Fixed broadband subscriptions\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Fixed telephone subscriptions\n", + "Statistical=0.883, p=0.002\n", + "LBY-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Food exports (% of merchandise exports)\n", + "Statistical=0.866, p=0.001\n", + "LBY-Food imports (% of merchandise imports)\n", + "Statistical=0.591, p=0.000\n", + "LBY-Food production index (2014-2016 = 100)\n", + "Statistical=0.573, p=0.000\n", + "LBY-Forest area (% of land area)\n", + "Statistical=0.855, p=0.001\n", + "LBY-Forest area (sq. km)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Forest rents (% of GDP)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.817, p=0.000\n", + "LBY-Fuel exports (% of merchandise exports)\n", + "Statistical=0.809, p=0.000\n", + "LBY-Fuel imports (% of merchandise imports)\n", + "Statistical=0.928, p=0.035\n", + "LBY-GDP (current US$)\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GDP deflator (base year varies by country)\n", + "Statistical=0.926, p=0.030\n", + "LBY-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.774, p=0.000\n", + "LBY-GDP growth (annual %)\n", + "Statistical=0.722, p=0.000\n", + "LBY-GDP per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GNI (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GNI growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GNI per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.950, p=0.147\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-General government final consumption expenditure (current US$)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Gini index\n", + "Statistical=0.967, p=0.428\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Goods imports (BoP, current US$)\n", + "Statistical=0.928, p=0.034\n", + "LBY-Grants and other revenue (% of revenue)\n", + "Statistical=0.744, p=0.000\n", + "LBY-Gross capital formation (% of GDP)\n", + "Statistical=0.869, p=0.001\n", + "LBY-Gross capital formation (current US$)\n", + "Statistical=0.877, p=0.002\n", + "LBY-Gross domestic savings (% of GDP)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Gross domestic savings (current US$)\n", + "Statistical=0.968, p=0.457\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Gross fixed capital formation (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Gross fixed capital formation (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Gross national expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.868, p=0.001\n", + "LBY-Gross savings (% of GDP)\n", + "Statistical=0.882, p=0.002\n", + "LBY-Gross savings (current US$)\n", + "Statistical=0.896, p=0.005\n", + "LBY-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.681, p=0.000\n", + "LBY-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.736, p=0.000\n", + "LBY-High-technology exports (% of manufactured exports)\n", + "Statistical=0.830, p=0.000\n", + "LBY-High-technology exports (current US$)\n", + "Statistical=0.861, p=0.001\n", + "LBY-Hospital beds (per 1,000 people)\n", + "Statistical=0.853, p=0.000\n", + "LBY-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.848, p=0.000\n", + "LBY-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.576, p=0.000\n", + "LBY-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.576, p=0.000\n", + "LBY-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.576, p=0.000\n", + "LBY-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.892, p=0.004\n", + "LBY-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.984, p=0.901\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-ICT goods exports (% of total goods exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-ICT goods imports (% total goods imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.800, p=0.000\n", + "LBY-ICT service exports (BoP, current US$)\n", + "Statistical=0.909, p=0.011\n", + "LBY-Import unit value index (2000 = 100)\n", + "Statistical=0.586, p=0.000\n", + "LBY-Import value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Import volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Imports of goods and services (% of GDP)\n", + "Statistical=0.749, p=0.000\n", + "LBY-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.870, p=0.001\n", + "LBY-Imports of goods and services (current US$)\n", + "Statistical=0.787, p=0.000\n", + "LBY-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "LBY-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Income share held by highest 20%\n", + "Statistical=0.698, p=0.000\n", + "LBY-Income share held by lowest 10%\n", + "Statistical=0.945, p=0.105\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Income share held by lowest 20%\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Income share held by second 20%\n", + "Statistical=0.741, p=0.000\n", + "LBY-Income share held by third 20%\n", + "Statistical=0.825, p=0.000\n", + "LBY-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.802, p=0.000\n", + "LBY-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.817, p=0.000\n", + "LBY-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.805, p=0.000\n", + "LBY-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.827, p=0.000\n", + "LBY-Individuals using the Internet (% of population)\n", + "Statistical=0.742, p=0.000\n", + "LBY-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.798, p=0.000\n", + "LBY-Industry (including construction), value added (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.611, p=0.000\n", + "LBY-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Intentional homicides (per 100,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Interest payments (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-International migrant stock (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Labor tax and contributions (% of commercial profits)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Land area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Land under cereal production (hectares)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.822, p=0.000\n", + "LBY-Lifetime risk of maternal death (%)\n", + "Statistical=0.870, p=0.001\n", + "LBY-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Livestock production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.885, p=0.003\n", + "LBY-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.773, p=0.000\n", + "LBY-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.933, p=0.046\n", + "LBY-Low-birthweight babies (% of births)\n", + "Statistical=0.884, p=0.003\n", + "LBY-Lower secondary school starting age (years)\n", + "Statistical=0.913, p=0.013\n", + "LBY-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.897, p=0.005\n", + "LBY-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.888, p=0.003\n", + "LBY-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.905, p=0.008\n", + "LBY-Marine protected areas (% of territorial waters)\n", + "Statistical=0.912, p=0.013\n", + "LBY-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.930, p=0.040\n", + "LBY-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.865, p=0.001\n", + "LBY-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.902, p=0.007\n", + "LBY-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.829, p=0.000\n", + "LBY-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.826, p=0.000\n", + "LBY-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Merchandise exports (current US$)\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.906, p=0.009\n", + "LBY-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.911, p=0.012\n", + "LBY-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.924, p=0.027\n", + "LBY-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.919, p=0.020\n", + "LBY-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.913, p=0.013\n", + "LBY-Merchandise imports (current US$)\n", + "Statistical=0.923, p=0.025\n", + "LBY-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.808, p=0.000\n", + "LBY-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.947, p=0.120\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.866, p=0.001\n", + "LBY-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.833, p=0.000\n", + "LBY-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.823, p=0.000\n", + "LBY-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.878, p=0.002\n", + "LBY-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.896, p=0.005\n", + "LBY-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.901, p=0.007\n", + "LBY-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.869, p=0.001\n", + "LBY-Merchandise trade (% of GDP)\n", + "Statistical=0.840, p=0.000\n", + "LBY-Methane emissions (% change from 1990)\n", + "Statistical=0.803, p=0.000\n", + "LBY-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.803, p=0.000\n", + "LBY-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.837, p=0.000\n", + "LBY-Military expenditure (% of GDP)\n", + "Statistical=0.822, p=0.000\n", + "LBY-Military expenditure (% of general government expenditure)\n", + "Statistical=0.865, p=0.001\n", + "LBY-Military expenditure (current USD)\n", + "Statistical=0.926, p=0.030\n", + "LBY-Mineral rents (% of GDP)\n", + "Statistical=0.809, p=0.000\n", + "LBY-Mobile cellular subscriptions\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.949, p=0.137\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Natural gas rents (% of GDP)\n", + "Statistical=0.812, p=0.000\n", + "LBY-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.887, p=0.003\n", + "LBY-Net capital account (BoP, current US$)\n", + "Statistical=0.965, p=0.380\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.771, p=0.000\n", + "LBY-Net financial account (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Net migration\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Net primary income (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.781, p=0.000\n", + "LBY-Net secondary income (BoP, current US$)\n", + "Statistical=0.788, p=0.000\n", + "LBY-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Net trade in goods (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Net trade in goods and services (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-New businesses registered (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.538, p=0.000\n", + "LBY-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.537, p=0.000\n", + "LBY-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.923, p=0.026\n", + "LBY-Number of deaths ages 10-14 years\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Number of deaths ages 15-19 years\n", + "Statistical=0.678, p=0.000\n", + "LBY-Number of deaths ages 20-24 years\n", + "Statistical=0.789, p=0.000\n", + "LBY-Number of deaths ages 5-9 years\n", + "Statistical=0.918, p=0.018\n", + "LBY-Number of infant deaths\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Number of maternal deaths\n", + "Statistical=0.975, p=0.633\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Number of neonatal deaths\n", + "Statistical=0.817, p=0.000\n", + "LBY-Number of under-five deaths\n", + "Statistical=0.738, p=0.000\n", + "LBY-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.987, p=0.957\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.974, p=0.608\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Oil rents (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Ores and metals exports (% of merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.949, p=0.135\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.654, p=0.000\n", + "LBY-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.646, p=0.000\n", + "LBY-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.914, p=0.014\n", + "LBY-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.914, p=0.014\n", + "LBY-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.899, p=0.006\n", + "LBY-People using at least basic drinking water services (% of population)\n", + "Statistical=0.841, p=0.000\n", + "LBY-People using at least basic sanitation services (% of population)\n", + "Statistical=0.869, p=0.001\n", + "LBY-People using safely managed sanitation services (% of population)\n", + "Statistical=0.869, p=0.001\n", + "LBY-Permanent cropland (% of land area)\n", + "Statistical=0.896, p=0.005\n", + "LBY-Physicians (per 1,000 people)\n", + "Statistical=0.926, p=0.030\n", + "LBY-Population ages 0-14 (% of total population)\n", + "Statistical=0.926, p=0.030\n", + "LBY-Population ages 15-64 (% of total population)\n", + "Statistical=0.893, p=0.004\n", + "LBY-Population ages 65 and above (% of total population)\n", + "Statistical=0.948, p=0.128\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Population density (people per sq. km of land area)\n", + "Statistical=0.902, p=0.007\n", + "LBY-Population growth (annual %)\n", + "Statistical=0.926, p=0.030\n", + "LBY-Population in largest city\n", + "Statistical=0.903, p=0.007\n", + "LBY-Population in the largest city (% of urban population)\n", + "Statistical=0.898, p=0.005\n", + "LBY-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.795, p=0.000\n", + "LBY-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.912, p=0.013\n", + "LBY-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.914, p=0.014\n", + "LBY-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.824, p=0.000\n", + "LBY-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.859, p=0.001\n", + "LBY-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Pregnant women receiving prenatal care (%)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.817, p=0.000\n", + "LBY-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.805, p=0.000\n", + "LBY-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Prevalence of current tobacco use (% of adults)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Prevalence of undernourishment (% of population)\n", + "Statistical=0.795, p=0.000\n", + "LBY-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Primary income payments (BoP, current US$)\n", + "Statistical=0.707, p=0.000\n", + "LBY-Primary income receipts (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Primary school starting age (years)\n", + "Statistical=0.891, p=0.004\n", + "LBY-Private credit bureau coverage (% of adults)\n", + "Statistical=0.726, p=0.000\n", + "LBY-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.835, p=0.000\n", + "LBY-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.817, p=0.000\n", + "LBY-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.787, p=0.000\n", + "LBY-Procedures to build a warehouse (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Procedures to register property (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Profit tax (% of commercial profits)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Progression to secondary school (%)\n", + "Statistical=0.755, p=0.000\n", + "LBY-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.835, p=0.000\n", + "LBY-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.867, p=0.001\n", + "LBY-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.888, p=0.003\n", + "LBY-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Public credit registry coverage (% of adults)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Pump price for gasoline (US$ per liter)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Rail lines (total route-km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.709, p=0.000\n", + "LBY-Refugee population by country or territory of asylum\n", + "Statistical=0.774, p=0.000\n", + "LBY-Refugee population by country or territory of origin\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Renewable electricity output (% of total electricity output)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.722, p=0.000\n", + "LBY-Research and development expenditure (% of GDP)\n", + "Statistical=0.827, p=0.000\n", + "LBY-Researchers in R&D (per million people)\n", + "Statistical=0.836, p=0.000\n", + "LBY-Reserves and related items (BoP, current US$)\n", + "Statistical=0.771, p=0.000\n", + "LBY-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.712, p=0.000\n", + "LBY-Rural land area (sq. km)\n", + "Statistical=0.735, p=0.000\n", + "LBY-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.786, p=0.000\n", + "LBY-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Rural population\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Rural population (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Rural population growth (annual %)\n", + "Statistical=0.705, p=0.000\n", + "LBY-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.743, p=0.000\n", + "LBY-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Scientific and technical journal articles\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Secondary income receipts (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Secure Internet servers\n", + "Statistical=0.822, p=0.000\n", + "LBY-Secure Internet servers (per 1 million people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Service exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Service imports (BoP, current US$)\n", + "Statistical=0.754, p=0.000\n", + "LBY-Sex ratio at birth (male births per female births)\n", + "Statistical=0.730, p=0.000\n", + "LBY-Social contributions (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.690, p=0.000\n", + "LBY-Start-up procedures to register a business (number)\n", + "Statistical=0.687, p=0.000\n", + "LBY-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.711, p=0.000\n", + "LBY-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.711, p=0.000\n", + "LBY-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.707, p=0.000\n", + "LBY-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.709, p=0.000\n", + "LBY-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Suicide mortality rate (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Surface area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Tax payments (number)\n", + "Statistical=0.733, p=0.000\n", + "LBY-Tax revenue (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Taxes less subsidies on products (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Taxes on goods and services (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.788, p=0.000\n", + "LBY-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.784, p=0.000\n", + "LBY-Terrestrial protected areas (% of total land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Time required to build a warehouse (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Time required to enforce a contract (days)\n", + "Statistical=0.730, p=0.000\n", + "LBY-Time required to get electricity (days)\n", + "Statistical=0.778, p=0.000\n", + "LBY-Time required to register property (days)\n", + "Statistical=0.737, p=0.000\n", + "LBY-Time required to start a business (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Time to obtain an electrical connection (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Time to prepare and pay taxes (hours)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Time to resolve insolvency (years)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Total fisheries production (metric tons)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Total natural resources rents (% of GDP)\n", + "Statistical=0.391, p=0.000\n", + "LBY-Total reserves (includes gold, current US$)\n", + "Statistical=0.726, p=0.000\n", + "LBY-Total reserves in months of imports\n", + "Statistical=0.687, p=0.000\n", + "LBY-Total reserves minus gold (current US$)\n", + "Statistical=0.839, p=0.000\n", + "LBY-Total tax and contribution rate (% of profit)\n", + "Statistical=0.848, p=0.000\n", + "LBY-Trade (% of GDP)\n", + "Statistical=0.893, p=0.004\n", + "LBY-Trade in services (% of GDP)\n", + "Statistical=0.925, p=0.028\n", + "LBY-Transport services (% of commercial service exports)\n", + "Statistical=0.892, p=0.004\n", + "LBY-Transport services (% of commercial service imports)\n", + "Statistical=0.838, p=0.000\n", + "LBY-Transport services (% of service exports, BoP)\n", + "Statistical=0.842, p=0.000\n", + "LBY-Transport services (% of service imports, BoP)\n", + "Statistical=0.943, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Travel services (% of commercial service exports)\n", + "Statistical=0.894, p=0.004\n", + "LBY-Travel services (% of commercial service imports)\n", + "Statistical=0.805, p=0.000\n", + "LBY-Travel services (% of service exports, BoP)\n", + "Statistical=0.763, p=0.000\n", + "LBY-Travel services (% of service imports, BoP)\n", + "Statistical=0.763, p=0.000\n", + "LBY-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.884, p=0.002\n", + "LBY-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.878, p=0.002\n", + "LBY-UHC service coverage index\n", + "Statistical=0.892, p=0.004\n", + "LBY-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Urban land area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Urban population\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Urban population (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GDP (current US$)+2\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GDP (current US$)+3\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GDP (current US$)+5\n", + "Statistical=0.774, p=0.000\n", + "LBY-GDP (current US$)+8\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GDP (current US$)+13\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-GDP (current US$)+21\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.708, p=0.000\n", + "LBY-Deposit interest rate (%)\n", + "Statistical=0.709, p=0.000\n", + "LBY-Other taxes (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.813, p=0.000\n", + "LBY-Taxes on international trade (% of revenue)\n", + "Statistical=0.813, p=0.000\n", + "LBY-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.908, p=0.010\n", + "LBY-Broad money (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Broad money growth (annual %)\n", + "Statistical=0.841, p=0.000\n", + "LBY-Broad money to total reserves ratio\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.834, p=0.000\n", + "LBY-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-External health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBY-External health expenditure per capita (current US$)\n", + "Statistical=0.558, p=0.000\n", + "LBY-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.814, p=0.000\n", + "LBY-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.913, p=0.014\n", + "LBY-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.916, p=0.016\n", + "LBY-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.897, p=0.005\n", + "LBY-People practicing open defecation (% of population)\n", + "Statistical=0.919, p=0.020\n", + "LBY-Taxes on exports (% of tax revenue)\n", + "Statistical=0.865, p=0.001\n", + "LBY-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.796, p=0.000\n", + "LBY-Country\n", + "Statistical=0.778, p=0.000\n", + "LBY-Year\n", + "Statistical=0.877, p=0.002\n", + "LBY-Continent\n", + "Statistical=0.902, p=0.007\n", + "ISR-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.586, p=0.000\n", + "ISR-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.723, p=0.000\n", + "ISR-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.608, p=0.000\n", + "ISR-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.584, p=0.000\n", + "ISR-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.615, p=0.000\n", + "ISR-Age dependency ratio (% of working-age population)\n", + "Statistical=0.656, p=0.000\n", + "ISR-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.626, p=0.000\n", + "ISR-Agricultural land (% of land area)\n", + "Statistical=0.596, p=0.000\n", + "ISR-Agricultural land (sq. km)\n", + "Statistical=0.661, p=0.000\n", + "ISR-Agricultural methane emissions (% of total)\n", + "Statistical=0.932, p=0.046\n", + "ISR-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.832, p=0.000\n", + "ISR-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.881, p=0.002\n", + "ISR-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.887, p=0.003\n", + "ISR-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.853, p=0.000\n", + "ISR-Aquaculture production (metric tons)\n", + "Statistical=0.866, p=0.001\n", + "ISR-Arable land (% of land area)\n", + "Statistical=0.892, p=0.004\n", + "ISR-Arable land (hectares per person)\n", + "Statistical=0.918, p=0.018\n", + "ISR-Arable land (hectares)\n", + "Statistical=0.846, p=0.000\n", + "ISR-Armed forces personnel (% of total labor force)\n", + "Statistical=0.921, p=0.023\n", + "ISR-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.846, p=0.000\n", + "ISR-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Average precipitation in depth (mm per year)\n", + "Statistical=0.913, p=0.014\n", + "ISR-Average time to clear exports through customs (days)\n", + "Statistical=0.910, p=0.011\n", + "ISR-Births attended by skilled health staff (% of total)\n", + "Statistical=0.844, p=0.000\n", + "ISR-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.898, p=0.005\n", + "ISR-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.824, p=0.000\n", + "ISR-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.811, p=0.000\n", + "ISR-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.950, p=0.144\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-CO2 emissions (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-CO2 emissions (metric tons per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.814, p=0.000\n", + "ISR-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.954, p=0.193\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.831, p=0.000\n", + "ISR-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.844, p=0.000\n", + "ISR-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.829, p=0.000\n", + "ISR-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.680, p=0.000\n", + "ISR-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Capture fisheries production (metric tons)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Cereal production (metric tons)\n", + "Statistical=0.896, p=0.005\n", + "ISR-Cereal yield (kg per hectare)\n", + "Statistical=0.842, p=0.000\n", + "ISR-Changes in inventories (current US$)\n", + "Statistical=0.934, p=0.050\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.835, p=0.000\n", + "ISR-Children out of school (% of primary school age)\n", + "Statistical=0.907, p=0.009\n", + "ISR-Coal rents (% of GDP)\n", + "Statistical=0.907, p=0.009\n", + "ISR-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.819, p=0.000\n", + "ISR-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.885, p=0.003\n", + "ISR-Commercial service exports (current US$)\n", + "Statistical=0.787, p=0.000\n", + "ISR-Commercial service imports (current US$)\n", + "Statistical=0.892, p=0.004\n", + "ISR-Completeness of birth registration (%)\n", + "Statistical=0.805, p=0.000\n", + "ISR-Consumer price index (2010 = 100)\n", + "Statistical=0.957, p=0.223\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.797, p=0.000\n", + "ISR-Crop production index (2014-2016 = 100)\n", + "Statistical=0.817, p=0.000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ISR-Current account balance (% of GDP)\n", + "Statistical=0.911, p=0.012\n", + "ISR-Current account balance (BoP, current US$)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Current health expenditure (% of GDP)\n", + "Statistical=0.898, p=0.005\n", + "ISR-Current health expenditure per capita (current US$)\n", + "Statistical=0.898, p=0.005\n", + "ISR-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.881, p=0.002\n", + "ISR-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.822, p=0.000\n", + "ISR-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.865, p=0.001\n", + "ISR-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.923, p=0.025\n", + "ISR-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.952, p=0.167\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.898, p=0.005\n", + "ISR-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.818, p=0.000\n", + "ISR-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.780, p=0.000\n", + "ISR-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.888, p=0.003\n", + "ISR-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.815, p=0.000\n", + "ISR-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.815, p=0.000\n", + "ISR-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.950, p=0.141\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Electric power consumption (kWh per capita)\n", + "Statistical=0.906, p=0.009\n", + "ISR-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.921, p=0.022\n", + "ISR-Electricity production from coal sources (% of total)\n", + "Statistical=0.906, p=0.009\n", + "ISR-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.916, p=0.017\n", + "ISR-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.966, p=0.399\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Electricity production from oil sources (% of total)\n", + "Statistical=0.913, p=0.013\n", + "ISR-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.785, p=0.000\n", + "ISR-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.844, p=0.000\n", + "ISR-Energy related methane emissions (% of total)\n", + "Statistical=0.871, p=0.001\n", + "ISR-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.723, p=0.000\n", + "ISR-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.955, p=0.195\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Export unit value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Export value index (2000 = 100)\n", + "Statistical=0.808, p=0.000\n", + "ISR-Export volume index (2000 = 100)\n", + "Statistical=0.825, p=0.000\n", + "ISR-Exports of goods and services (% of GDP)\n", + "Statistical=0.743, p=0.000\n", + "ISR-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.944, p=0.097\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Exports of goods and services (current US$)\n", + "Statistical=0.951, p=0.151\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-External balance on goods and services (% of GDP)\n", + "Statistical=0.932, p=0.046\n", + "ISR-External balance on goods and services (current US$)\n", + "Statistical=0.878, p=0.002\n", + "ISR-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.824, p=0.000\n", + "ISR-Final consumption expenditure (% of GDP)\n", + "Statistical=0.832, p=0.000\n", + "ISR-Final consumption expenditure (current US$)\n", + "Statistical=0.877, p=0.002\n", + "ISR-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.897, p=0.005\n", + "ISR-Firms offering formal training (% of firms)\n", + "Statistical=0.904, p=0.008\n", + "ISR-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.906, p=0.009\n", + "ISR-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.782, p=0.000\n", + "ISR-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.783, p=0.000\n", + "ISR-Fixed broadband subscriptions\n", + "Statistical=0.884, p=0.002\n", + "ISR-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Fixed telephone subscriptions\n", + "Statistical=0.920, p=0.021\n", + "ISR-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.834, p=0.000\n", + "ISR-Food exports (% of merchandise exports)\n", + "Statistical=0.901, p=0.007\n", + "ISR-Food imports (% of merchandise imports)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Food production index (2014-2016 = 100)\n", + "Statistical=0.925, p=0.029\n", + "ISR-Forest area (% of land area)\n", + "Statistical=0.921, p=0.022\n", + "ISR-Forest area (sq. km)\n", + "Statistical=0.933, p=0.048\n", + "ISR-Forest rents (% of GDP)\n", + "Statistical=0.900, p=0.006\n", + "ISR-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.758, p=0.000\n", + "ISR-Fuel exports (% of merchandise exports)\n", + "Statistical=0.791, p=0.000\n", + "ISR-Fuel imports (% of merchandise imports)\n", + "Statistical=0.723, p=0.000\n", + "ISR-GDP (current US$)\n", + "Statistical=0.962, p=0.320\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-GDP deflator (base year varies by country)\n", + "Statistical=0.948, p=0.123\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.974, p=0.605\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-GDP growth (annual %)\n", + "Statistical=0.962, p=0.312\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-GDP per capita (current US$)\n", + "Statistical=0.924, p=0.027\n", + "ISR-GDP per capita growth (annual %)\n", + "Statistical=0.923, p=0.025\n", + "ISR-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.805, p=0.000\n", + "ISR-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.799, p=0.000\n", + "ISR-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-GNI (current US$)\n", + "Statistical=0.872, p=0.001\n", + "ISR-GNI growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-GNI per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.962, p=0.304\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-General government final consumption expenditure (current US$)\n", + "Statistical=0.905, p=0.008\n", + "ISR-Gini index\n", + "Statistical=0.921, p=0.023\n", + "ISR-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Goods imports (BoP, current US$)\n", + "Statistical=0.943, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Grants and other revenue (% of revenue)\n", + "Statistical=0.814, p=0.000\n", + "ISR-Gross capital formation (% of GDP)\n", + "Statistical=0.890, p=0.003\n", + "ISR-Gross capital formation (current US$)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Gross domestic savings (% of GDP)\n", + "Statistical=0.934, p=0.049\n", + "ISR-Gross domestic savings (current US$)\n", + "Statistical=0.925, p=0.028\n", + "ISR-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Gross national expenditure (current US$)\n", + "Statistical=0.703, p=0.000\n", + "ISR-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.932, p=0.044\n", + "ISR-Gross savings (% of GDP)\n", + "Statistical=0.928, p=0.033\n", + "ISR-Gross savings (current US$)\n", + "Statistical=0.877, p=0.002\n", + "ISR-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.820, p=0.000\n", + "ISR-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-High-technology exports (% of manufactured exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-High-technology exports (current US$)\n", + "Statistical=0.892, p=0.004\n", + "ISR-Hospital beds (per 1,000 people)\n", + "Statistical=0.924, p=0.027\n", + "ISR-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.897, p=0.005\n", + "ISR-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.794, p=0.000\n", + "ISR-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.794, p=0.000\n", + "ISR-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.794, p=0.000\n", + "ISR-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.923, p=0.025\n", + "ISR-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.888, p=0.003\n", + "ISR-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.914, p=0.015\n", + "ISR-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.864, p=0.001\n", + "ISR-ICT goods exports (% of total goods exports)\n", + "Statistical=0.893, p=0.004\n", + "ISR-ICT goods imports (% total goods imports)\n", + "Statistical=0.918, p=0.018\n", + "ISR-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.900, p=0.006\n", + "ISR-ICT service exports (BoP, current US$)\n", + "Statistical=0.795, p=0.000\n", + "ISR-Import unit value index (2000 = 100)\n", + "Statistical=0.753, p=0.000\n", + "ISR-Import value index (2000 = 100)\n", + "Statistical=0.913, p=0.013\n", + "ISR-Import volume index (2000 = 100)\n", + "Statistical=0.917, p=0.017\n", + "ISR-Imports of goods and services (% of GDP)\n", + "Statistical=0.956, p=0.212\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.907, p=0.009\n", + "ISR-Imports of goods and services (current US$)\n", + "Statistical=0.554, p=0.000\n", + "ISR-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "ISR-Income share held by highest 10%\n", + "Statistical=0.949, p=0.133\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Income share held by highest 20%\n", + "Statistical=0.950, p=0.146\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Income share held by lowest 10%\n", + "Statistical=0.931, p=0.042\n", + "ISR-Income share held by lowest 20%\n", + "Statistical=0.931, p=0.042\n", + "ISR-Income share held by second 20%\n", + "Statistical=0.852, p=0.000\n", + "ISR-Income share held by third 20%\n", + "Statistical=0.926, p=0.030\n", + "ISR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.830, p=0.000\n", + "ISR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.786, p=0.000\n", + "ISR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.734, p=0.000\n", + "ISR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.867, p=0.001\n", + "ISR-Individuals using the Internet (% of population)\n", + "Statistical=0.815, p=0.000\n", + "ISR-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.808, p=0.000\n", + "ISR-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.415, p=0.000\n", + "ISR-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.651, p=0.000\n", + "ISR-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.654, p=0.000\n", + "ISR-Intentional homicides (per 100,000 people)\n", + "Statistical=0.653, p=0.000\n", + "ISR-Interest payments (% of revenue)\n", + "Statistical=0.816, p=0.000\n", + "ISR-International migrant stock (% of population)\n", + "Statistical=0.644, p=0.000\n", + "ISR-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.847, p=0.000\n", + "ISR-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.721, p=0.000\n", + "ISR-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.688, p=0.000\n", + "ISR-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.714, p=0.000\n", + "ISR-Land area (sq. km)\n", + "Statistical=0.671, p=0.000\n", + "ISR-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.710, p=0.000\n", + "ISR-Land under cereal production (hectares)\n", + "Statistical=0.664, p=0.000\n", + "ISR-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.818, p=0.000\n", + "ISR-Lifetime risk of maternal death (%)\n", + "Statistical=0.828, p=0.000\n", + "ISR-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.911, p=0.012\n", + "ISR-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.945, p=0.101\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Livestock production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.896, p=0.005\n", + "ISR-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.860, p=0.001\n", + "ISR-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.899, p=0.006\n", + "ISR-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Low-birthweight babies (% of births)\n", + "Statistical=0.935, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Lower secondary school starting age (years)\n", + "Statistical=0.892, p=0.004\n", + "ISR-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.882, p=0.002\n", + "ISR-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.884, p=0.002\n", + "ISR-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.850, p=0.000\n", + "ISR-Marine protected areas (% of territorial waters)\n", + "Statistical=0.848, p=0.000\n", + "ISR-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.847, p=0.000\n", + "ISR-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.861, p=0.001\n", + "ISR-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.865, p=0.001\n", + "ISR-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.857, p=0.001\n", + "ISR-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.933, p=0.049\n", + "ISR-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Merchandise exports (current US$)\n", + "Statistical=0.981, p=0.838\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.981, p=0.828\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.864, p=0.001\n", + "ISR-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.874, p=0.001\n", + "ISR-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.955, p=0.202\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.954, p=0.191\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.952, p=0.169\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.960, p=0.278\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.781, p=0.000\n", + "ISR-Merchandise imports (current US$)\n", + "Statistical=0.803, p=0.000\n", + "ISR-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.746, p=0.000\n", + "ISR-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.963, p=0.325\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.863, p=0.001\n", + "ISR-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.931, p=0.043\n", + "ISR-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.803, p=0.000\n", + "ISR-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.874, p=0.001\n", + "ISR-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.857, p=0.001\n", + "ISR-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.951, p=0.158\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.893, p=0.004\n", + "ISR-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Merchandise trade (% of GDP)\n", + "Statistical=0.976, p=0.683\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Methane emissions (% change from 1990)\n", + "Statistical=0.930, p=0.038\n", + "ISR-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.930, p=0.038\n", + "ISR-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.918, p=0.018\n", + "ISR-Military expenditure (% of GDP)\n", + "Statistical=0.913, p=0.014\n", + "ISR-Military expenditure (% of general government expenditure)\n", + "Statistical=0.931, p=0.043\n", + "ISR-Military expenditure (current USD)\n", + "Statistical=0.892, p=0.004\n", + "ISR-Mineral rents (% of GDP)\n", + "Statistical=0.898, p=0.006\n", + "ISR-Mobile cellular subscriptions\n", + "Statistical=0.930, p=0.040\n", + "ISR-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.773, p=0.000\n", + "ISR-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.926, p=0.031\n", + "ISR-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.764, p=0.000\n", + "ISR-Natural gas rents (% of GDP)\n", + "Statistical=0.962, p=0.307\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.894, p=0.004\n", + "ISR-Net capital account (BoP, current US$)\n", + "Statistical=0.969, p=0.473\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.922, p=0.024\n", + "ISR-Net financial account (BoP, current US$)\n", + "Statistical=0.917, p=0.018\n", + "ISR-Net migration\n", + "Statistical=0.953, p=0.176\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Net primary income (BoP, current US$)\n", + "Statistical=0.953, p=0.176\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.948, p=0.128\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Net secondary income (BoP, current US$)\n", + "Statistical=0.895, p=0.005\n", + "ISR-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Net trade in goods (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Net trade in goods and services (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-New businesses registered (number)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.825, p=0.000\n", + "ISR-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.798, p=0.000\n", + "ISR-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.874, p=0.001\n", + "ISR-Number of deaths ages 10-14 years\n", + "Statistical=0.933, p=0.049\n", + "ISR-Number of deaths ages 15-19 years\n", + "Statistical=0.902, p=0.007\n", + "ISR-Number of deaths ages 20-24 years\n", + "Statistical=0.960, p=0.274\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Number of deaths ages 5-9 years\n", + "Statistical=0.897, p=0.005\n", + "ISR-Number of infant deaths\n", + "Statistical=0.955, p=0.206\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Number of maternal deaths\n", + "Statistical=0.855, p=0.001\n", + "ISR-Number of neonatal deaths\n", + "Statistical=0.885, p=0.003\n", + "ISR-Number of under-five deaths\n", + "Statistical=0.872, p=0.001\n", + "ISR-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.848, p=0.000\n", + "ISR-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.860, p=0.001\n", + "ISR-Oil rents (% of GDP)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.722, p=0.000\n", + "ISR-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.889, p=0.003\n", + "ISR-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.881, p=0.002\n", + "ISR-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.909, p=0.010\n", + "ISR-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.897, p=0.005\n", + "ISR-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.897, p=0.005\n", + "ISR-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.906, p=0.009\n", + "ISR-People using at least basic drinking water services (% of population)\n", + "Statistical=0.845, p=0.000\n", + "ISR-People using at least basic sanitation services (% of population)\n", + "Statistical=0.902, p=0.007\n", + "ISR-People using safely managed sanitation services (% of population)\n", + "Statistical=0.902, p=0.007\n", + "ISR-Permanent cropland (% of land area)\n", + "Statistical=0.889, p=0.003\n", + "ISR-Physicians (per 1,000 people)\n", + "Statistical=0.896, p=0.005\n", + "ISR-Population ages 0-14 (% of total population)\n", + "Statistical=0.896, p=0.005\n", + "ISR-Population ages 15-64 (% of total population)\n", + "Statistical=0.918, p=0.018\n", + "ISR-Population ages 65 and above (% of total population)\n", + "Statistical=0.825, p=0.000\n", + "ISR-Population density (people per sq. km of land area)\n", + "Statistical=0.924, p=0.027\n", + "ISR-Population growth (annual %)\n", + "Statistical=0.896, p=0.005\n", + "ISR-Population in largest city\n", + "Statistical=0.884, p=0.003\n", + "ISR-Population in the largest city (% of urban population)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.852, p=0.000\n", + "ISR-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.839, p=0.000\n", + "ISR-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.897, p=0.005\n", + "ISR-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.881, p=0.002\n", + "ISR-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.906, p=0.009\n", + "ISR-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.891, p=0.004\n", + "ISR-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.891, p=0.004\n", + "ISR-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.943, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.891, p=0.004\n", + "ISR-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.851, p=0.000\n", + "ISR-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.885, p=0.003\n", + "ISR-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.885, p=0.003\n", + "ISR-Prevalence of undernourishment (% of population)\n", + "Statistical=0.955, p=0.200\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.883, p=0.002\n", + "ISR-Primary income payments (BoP, current US$)\n", + "Statistical=0.810, p=0.000\n", + "ISR-Primary income receipts (BoP, current US$)\n", + "Statistical=0.885, p=0.003\n", + "ISR-Primary school starting age (years)\n", + "Statistical=0.882, p=0.002\n", + "ISR-Private credit bureau coverage (% of adults)\n", + "Statistical=0.821, p=0.000\n", + "ISR-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.891, p=0.004\n", + "ISR-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.876, p=0.002\n", + "ISR-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.904, p=0.008\n", + "ISR-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.841, p=0.000\n", + "ISR-Procedures to build a warehouse (number)\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Procedures to register property (number)\n", + "Statistical=0.925, p=0.028\n", + "ISR-Profit tax (% of commercial profits)\n", + "Statistical=0.925, p=0.028\n", + "ISR-Progression to secondary school (%)\n", + "Statistical=0.960, p=0.269\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.902, p=0.007\n", + "ISR-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.949, p=0.134\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.892, p=0.004\n", + "ISR-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.924, p=0.027\n", + "ISR-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.892, p=0.004\n", + "ISR-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.830, p=0.000\n", + "ISR-Public credit registry coverage (% of adults)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.718, p=0.000\n", + "ISR-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.822, p=0.000\n", + "ISR-Rail lines (total route-km)\n", + "Statistical=0.934, p=0.050\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.890, p=0.004\n", + "ISR-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.745, p=0.000\n", + "ISR-Refugee population by country or territory of asylum\n", + "Statistical=0.903, p=0.007\n", + "ISR-Refugee population by country or territory of origin\n", + "Statistical=0.928, p=0.033\n", + "ISR-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.886, p=0.003\n", + "ISR-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.886, p=0.003\n", + "ISR-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.944, p=0.099\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Research and development expenditure (% of GDP)\n", + "Statistical=0.883, p=0.002\n", + "ISR-Researchers in R&D (per million people)\n", + "Statistical=0.894, p=0.004\n", + "ISR-Reserves and related items (BoP, current US$)\n", + "Statistical=0.922, p=0.024\n", + "ISR-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.902, p=0.007\n", + "ISR-Rural land area (sq. km)\n", + "Statistical=0.847, p=0.000\n", + "ISR-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.879, p=0.002\n", + "ISR-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.966, p=0.406\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Rural population\n", + "Statistical=0.921, p=0.022\n", + "ISR-Rural population (% of total population)\n", + "Statistical=0.921, p=0.022\n", + "ISR-Rural population growth (annual %)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.877, p=0.002\n", + "ISR-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Scientific and technical journal articles\n", + "Statistical=0.932, p=0.044\n", + "ISR-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Secure Internet servers\n", + "Statistical=0.892, p=0.004\n", + "ISR-Secure Internet servers (per 1 million people)\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Service exports (BoP, current US$)\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Service imports (BoP, current US$)\n", + "Statistical=0.949, p=0.133\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Sex ratio at birth (male births per female births)\n", + "Statistical=0.891, p=0.004\n", + "ISR-Social contributions (% of revenue)\n", + "Statistical=0.881, p=0.002\n", + "ISR-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.897, p=0.005\n", + "ISR-Start-up procedures to register a business (number)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.879, p=0.002\n", + "ISR-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.890, p=0.003\n", + "ISR-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.890, p=0.003\n", + "ISR-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.899, p=0.006\n", + "ISR-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.839, p=0.000\n", + "ISR-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.839, p=0.000\n", + "ISR-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.695, p=0.000\n", + "ISR-Surface area (sq. km)\n", + "Statistical=0.732, p=0.000\n", + "ISR-Tax payments (number)\n", + "Statistical=0.737, p=0.000\n", + "ISR-Tax revenue (% of GDP)\n", + "Statistical=0.969, p=0.474\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Taxes less subsidies on products (current US$)\n", + "Statistical=0.956, p=0.207\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Taxes on goods and services (% of revenue)\n", + "Statistical=0.956, p=0.207\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.893, p=0.004\n", + "ISR-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.963, p=0.336\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.958, p=0.240\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Time required to build a warehouse (days)\n", + "Statistical=0.956, p=0.207\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Time required to enforce a contract (days)\n", + "Statistical=0.905, p=0.008\n", + "ISR-Time required to get electricity (days)\n", + "Statistical=0.951, p=0.155\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Time required to register property (days)\n", + "Statistical=0.906, p=0.009\n", + "ISR-Time required to start a business (days)\n", + "Statistical=0.666, p=0.000\n", + "ISR-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.675, p=0.000\n", + "ISR-Time to obtain an electrical connection (days)\n", + "Statistical=0.675, p=0.000\n", + "ISR-Time to prepare and pay taxes (hours)\n", + "Statistical=0.674, p=0.000\n", + "ISR-Time to resolve insolvency (years)\n", + "Statistical=0.670, p=0.000\n", + "ISR-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.649, p=0.000\n", + "ISR-Total fisheries production (metric tons)\n", + "Statistical=0.635, p=0.000\n", + "ISR-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.659, p=0.000\n", + "ISR-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.670, p=0.000\n", + "ISR-Total natural resources rents (% of GDP)\n", + "Statistical=0.915, p=0.015\n", + "ISR-Total reserves (includes gold, current US$)\n", + "Statistical=0.843, p=0.000\n", + "ISR-Total reserves in months of imports\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Total reserves minus gold (current US$)\n", + "Statistical=0.844, p=0.000\n", + "ISR-Total tax and contribution rate (% of profit)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Trade (% of GDP)\n", + "Statistical=0.881, p=0.002\n", + "ISR-Trade in services (% of GDP)\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Transport services (% of commercial service exports)\n", + "Statistical=0.848, p=0.000\n", + "ISR-Transport services (% of commercial service imports)\n", + "Statistical=0.845, p=0.000\n", + "ISR-Transport services (% of service exports, BoP)\n", + "Statistical=0.847, p=0.000\n", + "ISR-Transport services (% of service imports, BoP)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Travel services (% of commercial service exports)\n", + "Statistical=0.929, p=0.037\n", + "ISR-Travel services (% of commercial service imports)\n", + "Statistical=0.957, p=0.224\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Travel services (% of service exports, BoP)\n", + "Statistical=0.964, p=0.362\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Travel services (% of service imports, BoP)\n", + "Statistical=0.964, p=0.362\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.924, p=0.027\n", + "ISR-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.912, p=0.013\n", + "ISR-UHC service coverage index\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.866, p=0.001\n", + "ISR-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.864, p=0.001\n", + "ISR-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Urban land area (sq. km)\n", + "Statistical=0.955, p=0.194\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.687, p=0.000\n", + "ISR-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.847, p=0.000\n", + "ISR-Urban population\n", + "Statistical=0.948, p=0.125\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Urban population (% of total population)\n", + "Statistical=0.953, p=0.177\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=0.858, p=0.001\n", + "ISR-GDP (current US$)+2\n", + "Statistical=0.969, p=0.471\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-GDP (current US$)+3\n", + "Statistical=0.980, p=0.800\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-GDP (current US$)+5\n", + "Statistical=0.898, p=0.006\n", + "ISR-GDP (current US$)+8\n", + "Statistical=0.956, p=0.207\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-GDP (current US$)+13\n", + "Statistical=0.916, p=0.016\n", + "ISR-GDP (current US$)+21\n", + "Statistical=0.916, p=0.016\n", + "ISR-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.913, p=0.014\n", + "ISR-Deposit interest rate (%)\n", + "Statistical=0.841, p=0.000\n", + "ISR-Other taxes (% of revenue)\n", + "Statistical=0.881, p=0.002\n", + "ISR-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.830, p=0.000\n", + "ISR-Taxes on international trade (% of revenue)\n", + "Statistical=0.830, p=0.000\n", + "ISR-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.827, p=0.000\n", + "ISR-Broad money (% of GDP)\n", + "Statistical=0.898, p=0.005\n", + "ISR-Broad money growth (annual %)\n", + "Statistical=0.956, p=0.215\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Broad money to total reserves ratio\n", + "Statistical=0.907, p=0.010\n", + "ISR-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.959, p=0.254\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.917, p=0.017\n", + "ISR-External health expenditure (% of current health expenditure)\n", + "Statistical=0.969, p=0.462\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-External health expenditure per capita (current US$)\n", + "Statistical=0.307, p=0.000\n", + "ISR-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.893, p=0.004\n", + "ISR-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.917, p=0.017\n", + "ISR-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.953, p=0.178\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.910, p=0.011\n", + "ISR-People practicing open defecation (% of population)\n", + "Statistical=0.963, p=0.330\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Taxes on exports (% of tax revenue)\n", + "Statistical=0.871, p=0.001\n", + "ISR-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.952, p=0.169\n", + "Data is NORMAL ( H0 not denied )\n", + "ISR-Country\n", + "Statistical=0.801, p=0.000\n", + "ISR-Year\n", + "Statistical=0.905, p=0.008\n", + "ISR-Continent\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Adjusted net national income (current US$)\n", + "Statistical=0.815, p=0.000\n", + "TUR-Adjusted net national income per capita (current US$)\n", + "Statistical=0.799, p=0.000\n", + "TUR-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.807, p=0.000\n", + "TUR-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.483, p=0.000\n", + "TUR-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.504, p=0.000\n", + "TUR-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.548, p=0.000\n", + "TUR-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.617, p=0.000\n", + "TUR-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.524, p=0.000\n", + "TUR-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.550, p=0.000\n", + "TUR-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.609, p=0.000\n", + "TUR-Age dependency ratio (% of working-age population)\n", + "Statistical=0.642, p=0.000\n", + "TUR-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.628, p=0.000\n", + "TUR-Agricultural land (% of land area)\n", + "Statistical=0.636, p=0.000\n", + "TUR-Agricultural land (sq. km)\n", + "Statistical=0.576, p=0.000\n", + "TUR-Agricultural methane emissions (% of total)\n", + "Statistical=0.968, p=0.439\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.897, p=0.005\n", + "TUR-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.821, p=0.000\n", + "TUR-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.857, p=0.001\n", + "TUR-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Aquaculture production (metric tons)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Arable land (% of land area)\n", + "Statistical=0.875, p=0.002\n", + "TUR-Arable land (hectares per person)\n", + "Statistical=0.929, p=0.036\n", + "TUR-Arable land (hectares)\n", + "Statistical=0.856, p=0.001\n", + "TUR-Armed forces personnel (% of total labor force)\n", + "Statistical=0.929, p=0.037\n", + "TUR-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.856, p=0.001\n", + "TUR-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.904, p=0.008\n", + "TUR-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.885, p=0.003\n", + "TUR-Average precipitation in depth (mm per year)\n", + "Statistical=0.969, p=0.468\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Average time to clear exports through customs (days)\n", + "Statistical=0.850, p=0.000\n", + "TUR-Births attended by skilled health staff (% of total)\n", + "Statistical=0.897, p=0.005\n", + "TUR-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.849, p=0.000\n", + "TUR-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.981, p=0.827\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.902, p=0.007\n", + "TUR-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.962, p=0.315\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-CO2 emissions (kt)\n", + "Statistical=0.843, p=0.000\n", + "TUR-CO2 emissions (metric tons per capita)\n", + "Statistical=0.803, p=0.000\n", + "TUR-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.950, p=0.141\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.956, p=0.216\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.868, p=0.001\n", + "TUR-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.805, p=0.000\n", + "TUR-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.913, p=0.014\n", + "TUR-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.788, p=0.000\n", + "TUR-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.823, p=0.000\n", + "TUR-Capture fisheries production (metric tons)\n", + "Statistical=0.802, p=0.000\n", + "TUR-Cereal production (metric tons)\n", + "Statistical=0.909, p=0.011\n", + "TUR-Cereal yield (kg per hectare)\n", + "Statistical=0.966, p=0.404\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Changes in inventories (current US$)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.775, p=0.000\n", + "TUR-Children out of school (% of primary school age)\n", + "Statistical=0.944, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Coal rents (% of GDP)\n", + "Statistical=0.944, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.779, p=0.000\n", + "TUR-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.820, p=0.000\n", + "TUR-Commercial service exports (current US$)\n", + "Statistical=0.793, p=0.000\n", + "TUR-Commercial service imports (current US$)\n", + "Statistical=0.921, p=0.022\n", + "TUR-Completeness of birth registration (%)\n", + "Statistical=0.787, p=0.000\n", + "TUR-Consumer price index (2010 = 100)\n", + "Statistical=0.882, p=0.002\n", + "TUR-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.823, p=0.000\n", + "TUR-Crop production index (2014-2016 = 100)\n", + "Statistical=0.877, p=0.002\n", + "TUR-Current account balance (% of GDP)\n", + "Statistical=0.860, p=0.001\n", + "TUR-Current account balance (BoP, current US$)\n", + "Statistical=0.960, p=0.271\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Current health expenditure (% of GDP)\n", + "Statistical=0.890, p=0.003\n", + "TUR-Current health expenditure per capita (current US$)\n", + "Statistical=0.890, p=0.003\n", + "TUR-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.856, p=0.001\n", + "TUR-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.929, p=0.037\n", + "TUR-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.906, p=0.009\n", + "TUR-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.731, p=0.000\n", + "TUR-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.804, p=0.000\n", + "TUR-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.817, p=0.000\n", + "TUR-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.875, p=0.002\n", + "TUR-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.765, p=0.000\n", + "TUR-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.903, p=0.007\n", + "TUR-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.891, p=0.004\n", + "TUR-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.891, p=0.004\n", + "TUR-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.910, p=0.011\n", + "TUR-Electric power consumption (kWh per capita)\n", + "Statistical=0.842, p=0.000\n", + "TUR-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.923, p=0.025\n", + "TUR-Electricity production from coal sources (% of total)\n", + "Statistical=0.842, p=0.000\n", + "TUR-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.927, p=0.032\n", + "TUR-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.894, p=0.004\n", + "TUR-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.848, p=0.000\n", + "TUR-Electricity production from oil sources (% of total)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.736, p=0.000\n", + "TUR-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.801, p=0.000\n", + "TUR-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.857, p=0.001\n", + "TUR-Energy related methane emissions (% of total)\n", + "Statistical=0.885, p=0.003\n", + "TUR-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.837, p=0.000\n", + "TUR-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Export unit value index (2000 = 100)\n", + "Statistical=0.851, p=0.000\n", + "TUR-Export value index (2000 = 100)\n", + "Statistical=0.804, p=0.000\n", + "TUR-Export volume index (2000 = 100)\n", + "Statistical=0.905, p=0.008\n", + "TUR-Exports of goods and services (% of GDP)\n", + "Statistical=0.873, p=0.001\n", + "TUR-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.956, p=0.207\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Exports of goods and services (current US$)\n", + "Statistical=0.797, p=0.000\n", + "TUR-External balance on goods and services (% of GDP)\n", + "Statistical=0.824, p=0.000\n", + "TUR-External balance on goods and services (current US$)\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.892, p=0.004\n", + "TUR-Final consumption expenditure (% of GDP)\n", + "Statistical=0.891, p=0.004\n", + "TUR-Final consumption expenditure (current US$)\n", + "Statistical=0.908, p=0.010\n", + "TUR-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.917, p=0.017\n", + "TUR-Firms offering formal training (% of firms)\n", + "Statistical=0.924, p=0.027\n", + "TUR-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.916, p=0.016\n", + "TUR-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.858, p=0.001\n", + "TUR-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.859, p=0.001\n", + "TUR-Fixed broadband subscriptions\n", + "Statistical=0.866, p=0.001\n", + "TUR-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.906, p=0.009\n", + "TUR-Fixed telephone subscriptions\n", + "Statistical=0.871, p=0.001\n", + "TUR-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.899, p=0.006\n", + "TUR-Food exports (% of merchandise exports)\n", + "Statistical=0.957, p=0.232\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Food imports (% of merchandise imports)\n", + "Statistical=0.916, p=0.016\n", + "TUR-Food production index (2014-2016 = 100)\n", + "Statistical=0.878, p=0.002\n", + "TUR-Forest area (% of land area)\n", + "Statistical=0.944, p=0.099\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Forest area (sq. km)\n", + "Statistical=0.961, p=0.296\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Forest rents (% of GDP)\n", + "Statistical=0.947, p=0.115\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.651, p=0.000\n", + "TUR-Fuel exports (% of merchandise exports)\n", + "Statistical=0.871, p=0.001\n", + "TUR-Fuel imports (% of merchandise imports)\n", + "Statistical=0.505, p=0.000\n", + "TUR-GDP (current US$)\n", + "Statistical=0.972, p=0.548\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-GDP deflator (base year varies by country)\n", + "Statistical=0.914, p=0.014\n", + "TUR-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-GDP growth (annual %)\n", + "Statistical=0.982, p=0.848\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-GDP per capita (current US$)\n", + "Statistical=0.805, p=0.000\n", + "TUR-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.962, p=0.313\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.886, p=0.003\n", + "TUR-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.924, p=0.027\n", + "TUR-GNI (current US$)\n", + "Statistical=0.915, p=0.015\n", + "TUR-GNI growth (annual %)\n", + "Statistical=0.853, p=0.000\n", + "TUR-GNI per capita growth (annual %)\n", + "Statistical=0.894, p=0.004\n", + "TUR-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.930, p=0.039\n", + "TUR-General government final consumption expenditure (current US$)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Statistical=0.978, p=0.749\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Gini index\n", + "Statistical=0.881, p=0.002\n", + "TUR-Goods exports (BoP, current US$)\n", + "Statistical=0.878, p=0.002\n", + "TUR-Goods imports (BoP, current US$)\n", + "Statistical=0.892, p=0.004\n", + "TUR-Grants and other revenue (% of revenue)\n", + "Statistical=0.793, p=0.000\n", + "TUR-Gross capital formation (% of GDP)\n", + "Statistical=0.908, p=0.010\n", + "TUR-Gross capital formation (current US$)\n", + "Statistical=0.900, p=0.006\n", + "TUR-Gross domestic savings (% of GDP)\n", + "Statistical=0.764, p=0.000\n", + "TUR-Gross domestic savings (current US$)\n", + "Statistical=0.863, p=0.001\n", + "TUR-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.757, p=0.000\n", + "TUR-Gross fixed capital formation (current US$)\n", + "Statistical=0.556, p=0.000\n", + "TUR-Gross national expenditure (% of GDP)\n", + "Statistical=0.556, p=0.000\n", + "TUR-Gross national expenditure (current US$)\n", + "Statistical=0.585, p=0.000\n", + "TUR-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.773, p=0.000\n", + "TUR-Gross savings (% of GDP)\n", + "Statistical=0.862, p=0.001\n", + "TUR-Gross savings (current US$)\n", + "Statistical=0.888, p=0.003\n", + "TUR-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.828, p=0.000\n", + "TUR-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.834, p=0.000\n", + "TUR-High-technology exports (% of manufactured exports)\n", + "Statistical=0.867, p=0.001\n", + "TUR-High-technology exports (current US$)\n", + "Statistical=0.930, p=0.039\n", + "TUR-Hospital beds (per 1,000 people)\n", + "Statistical=0.850, p=0.000\n", + "TUR-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.899, p=0.006\n", + "TUR-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.814, p=0.000\n", + "TUR-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.814, p=0.000\n", + "TUR-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.814, p=0.000\n", + "TUR-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=0.391, p=0.000\n", + "TUR-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=0.391, p=0.000\n", + "TUR-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.924, p=0.028\n", + "TUR-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.973, p=0.581\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.903, p=0.007\n", + "TUR-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.645, p=0.000\n", + "TUR-ICT goods exports (% of total goods exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-ICT goods imports (% total goods imports)\n", + "Statistical=0.724, p=0.000\n", + "TUR-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-ICT service exports (BoP, current US$)\n", + "Statistical=0.849, p=0.000\n", + "TUR-Import unit value index (2000 = 100)\n", + "Statistical=0.815, p=0.000\n", + "TUR-Import value index (2000 = 100)\n", + "Statistical=0.735, p=0.000\n", + "TUR-Import volume index (2000 = 100)\n", + "Statistical=0.755, p=0.000\n", + "TUR-Imports of goods and services (% of GDP)\n", + "Statistical=0.881, p=0.002\n", + "TUR-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.868, p=0.001\n", + "TUR-Imports of goods and services (current US$)\n", + "Statistical=0.817, p=0.000\n", + "TUR-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=0.391, p=0.000\n", + "TUR-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "TUR-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Income share held by lowest 10%\n", + "Statistical=0.706, p=0.000\n", + "TUR-Income share held by lowest 20%\n", + "Statistical=0.824, p=0.000\n", + "TUR-Income share held by second 20%\n", + "Statistical=0.830, p=0.000\n", + "TUR-Income share held by third 20%\n", + "Statistical=0.815, p=0.000\n", + "TUR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.863, p=0.001\n", + "TUR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.830, p=0.000\n", + "TUR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.818, p=0.000\n", + "TUR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.815, p=0.000\n", + "TUR-Individuals using the Internet (% of population)\n", + "Statistical=0.905, p=0.008\n", + "TUR-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.875, p=0.002\n", + "TUR-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.434, p=0.000\n", + "TUR-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.758, p=0.000\n", + "TUR-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.748, p=0.000\n", + "TUR-Intentional homicides (per 100,000 people)\n", + "Statistical=0.754, p=0.000\n", + "TUR-Interest payments (% of revenue)\n", + "Statistical=0.757, p=0.000\n", + "TUR-International migrant stock (% of population)\n", + "Statistical=0.738, p=0.000\n", + "TUR-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.746, p=0.000\n", + "TUR-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.758, p=0.000\n", + "TUR-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.760, p=0.000\n", + "TUR-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.760, p=0.000\n", + "TUR-Land area (sq. km)\n", + "Statistical=0.776, p=0.000\n", + "TUR-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.775, p=0.000\n", + "TUR-Land under cereal production (hectares)\n", + "Statistical=0.776, p=0.000\n", + "TUR-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.880, p=0.002\n", + "TUR-Lifetime risk of maternal death (%)\n", + "Statistical=0.897, p=0.005\n", + "TUR-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.962, p=0.303\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.887, p=0.003\n", + "TUR-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.864, p=0.001\n", + "TUR-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.834, p=0.000\n", + "TUR-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.963, p=0.337\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.702, p=0.000\n", + "TUR-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.690, p=0.000\n", + "TUR-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.897, p=0.005\n", + "TUR-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Low-birthweight babies (% of births)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Lower secondary school starting age (years)\n", + "Statistical=0.916, p=0.016\n", + "TUR-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.864, p=0.001\n", + "TUR-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.933, p=0.048\n", + "TUR-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.895, p=0.005\n", + "TUR-Marine protected areas (% of territorial waters)\n", + "Statistical=0.891, p=0.004\n", + "TUR-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.935, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.900, p=0.006\n", + "TUR-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.911, p=0.012\n", + "TUR-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.955, p=0.194\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.957, p=0.226\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Merchandise exports (current US$)\n", + "Statistical=0.898, p=0.005\n", + "TUR-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.903, p=0.007\n", + "TUR-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.951, p=0.150\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.949, p=0.131\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.880, p=0.002\n", + "TUR-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.888, p=0.003\n", + "TUR-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.907, p=0.009\n", + "TUR-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.906, p=0.009\n", + "TUR-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.896, p=0.005\n", + "TUR-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.896, p=0.005\n", + "TUR-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.852, p=0.000\n", + "TUR-Merchandise imports (current US$)\n", + "Statistical=0.837, p=0.000\n", + "TUR-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.835, p=0.000\n", + "TUR-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.891, p=0.004\n", + "TUR-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.854, p=0.001\n", + "TUR-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.802, p=0.000\n", + "TUR-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.969, p=0.470\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.855, p=0.001\n", + "TUR-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.910, p=0.011\n", + "TUR-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.954, p=0.183\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.891, p=0.004\n", + "TUR-Merchandise trade (% of GDP)\n", + "Statistical=0.972, p=0.543\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Methane emissions (% change from 1990)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.816, p=0.000\n", + "TUR-Military expenditure (% of GDP)\n", + "Statistical=0.877, p=0.002\n", + "TUR-Military expenditure (% of general government expenditure)\n", + "Statistical=0.891, p=0.004\n", + "TUR-Military expenditure (current USD)\n", + "Statistical=0.955, p=0.195\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Mineral rents (% of GDP)\n", + "Statistical=0.666, p=0.000\n", + "TUR-Mobile cellular subscriptions\n", + "Statistical=0.795, p=0.000\n", + "TUR-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.962, p=0.319\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Natural gas rents (% of GDP)\n", + "Statistical=0.878, p=0.002\n", + "TUR-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Net capital account (BoP, current US$)\n", + "Statistical=0.952, p=0.160\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.974, p=0.630\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Net financial account (BoP, current US$)\n", + "Statistical=0.983, p=0.887\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Net migration\n", + "Statistical=0.899, p=0.006\n", + "TUR-Net primary income (BoP, current US$)\n", + "Statistical=0.899, p=0.006\n", + "TUR-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.822, p=0.000\n", + "TUR-Net secondary income (BoP, current US$)\n", + "Statistical=0.868, p=0.001\n", + "TUR-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.699, p=0.000\n", + "TUR-Net trade in goods (BoP, current US$)\n", + "Statistical=0.832, p=0.000\n", + "TUR-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.815, p=0.000\n", + "TUR-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.753, p=0.000\n", + "TUR-New businesses registered (number)\n", + "Statistical=0.760, p=0.000\n", + "TUR-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.820, p=0.000\n", + "TUR-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.823, p=0.000\n", + "TUR-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.931, p=0.041\n", + "TUR-Number of deaths ages 10-14 years\n", + "Statistical=0.892, p=0.004\n", + "TUR-Number of deaths ages 15-19 years\n", + "Statistical=0.827, p=0.000\n", + "TUR-Number of deaths ages 20-24 years\n", + "Statistical=0.981, p=0.814\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Number of deaths ages 5-9 years\n", + "Statistical=0.890, p=0.004\n", + "TUR-Number of infant deaths\n", + "Statistical=0.928, p=0.034\n", + "TUR-Number of maternal deaths\n", + "Statistical=0.859, p=0.001\n", + "TUR-Number of neonatal deaths\n", + "Statistical=0.894, p=0.004\n", + "TUR-Number of under-five deaths\n", + "Statistical=0.858, p=0.001\n", + "TUR-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.953, p=0.178\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.883, p=0.002\n", + "TUR-Oil rents (% of GDP)\n", + "Statistical=0.918, p=0.018\n", + "TUR-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.918, p=0.018\n", + "TUR-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.802, p=0.000\n", + "TUR-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.920, p=0.020\n", + "TUR-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.953, p=0.170\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.891, p=0.004\n", + "TUR-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.891, p=0.004\n", + "TUR-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.821, p=0.000\n", + "TUR-People using at least basic drinking water services (% of population)\n", + "Statistical=0.861, p=0.001\n", + "TUR-People using at least basic sanitation services (% of population)\n", + "Statistical=0.892, p=0.004\n", + "TUR-People using safely managed sanitation services (% of population)\n", + "Statistical=0.893, p=0.004\n", + "TUR-Permanent cropland (% of land area)\n", + "Statistical=0.917, p=0.017\n", + "TUR-Physicians (per 1,000 people)\n", + "Statistical=0.887, p=0.003\n", + "TUR-Population ages 0-14 (% of total population)\n", + "Statistical=0.887, p=0.003\n", + "TUR-Population ages 15-64 (% of total population)\n", + "Statistical=0.839, p=0.000\n", + "TUR-Population ages 65 and above (% of total population)\n", + "Statistical=0.879, p=0.002\n", + "TUR-Population density (people per sq. km of land area)\n", + "Statistical=0.922, p=0.023\n", + "TUR-Population growth (annual %)\n", + "Statistical=0.887, p=0.003\n", + "TUR-Population in largest city\n", + "Statistical=0.831, p=0.000\n", + "TUR-Population in the largest city (% of urban population)\n", + "Statistical=0.927, p=0.033\n", + "TUR-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.858, p=0.001\n", + "TUR-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.836, p=0.000\n", + "TUR-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.891, p=0.004\n", + "TUR-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.830, p=0.000\n", + "TUR-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.821, p=0.000\n", + "TUR-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=0.838, p=0.000\n", + "TUR-Pregnant women receiving prenatal care (%)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.822, p=0.000\n", + "TUR-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.862, p=0.001\n", + "TUR-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Prevalence of current tobacco use (% of adults)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Prevalence of undernourishment (% of population)\n", + "Statistical=0.839, p=0.000\n", + "TUR-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Primary income payments (BoP, current US$)\n", + "Statistical=0.859, p=0.001\n", + "TUR-Primary income receipts (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Primary school starting age (years)\n", + "Statistical=0.831, p=0.000\n", + "TUR-Private credit bureau coverage (% of adults)\n", + "Statistical=0.850, p=0.000\n", + "TUR-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.829, p=0.000\n", + "TUR-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.822, p=0.000\n", + "TUR-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.973, p=0.592\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Procedures to build a warehouse (number)\n", + "Statistical=0.981, p=0.834\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Procedures to register property (number)\n", + "Statistical=0.908, p=0.010\n", + "TUR-Profit tax (% of commercial profits)\n", + "Statistical=0.908, p=0.010\n", + "TUR-Progression to secondary school (%)\n", + "Statistical=0.810, p=0.000\n", + "TUR-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.836, p=0.000\n", + "TUR-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.860, p=0.001\n", + "TUR-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.884, p=0.002\n", + "TUR-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.859, p=0.001\n", + "TUR-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.788, p=0.000\n", + "TUR-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.754, p=0.000\n", + "TUR-Public credit registry coverage (% of adults)\n", + "Statistical=0.493, p=0.000\n", + "TUR-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.570, p=0.000\n", + "TUR-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.898, p=0.006\n", + "TUR-Rail lines (total route-km)\n", + "Statistical=0.967, p=0.412\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.814, p=0.000\n", + "TUR-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.892, p=0.004\n", + "TUR-Refugee population by country or territory of asylum\n", + "Statistical=0.974, p=0.606\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Refugee population by country or territory of origin\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Renewable electricity output (% of total electricity output)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.810, p=0.000\n", + "TUR-Research and development expenditure (% of GDP)\n", + "Statistical=0.853, p=0.000\n", + "TUR-Researchers in R&D (per million people)\n", + "Statistical=0.898, p=0.005\n", + "TUR-Reserves and related items (BoP, current US$)\n", + "Statistical=0.974, p=0.630\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.814, p=0.000\n", + "TUR-Rural land area (sq. km)\n", + "Statistical=0.853, p=0.000\n", + "TUR-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.958, p=0.236\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.965, p=0.382\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Rural population\n", + "Statistical=0.871, p=0.001\n", + "TUR-Rural population (% of total population)\n", + "Statistical=0.871, p=0.001\n", + "TUR-Rural population growth (annual %)\n", + "Statistical=0.798, p=0.000\n", + "TUR-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.854, p=0.001\n", + "TUR-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Scientific and technical journal articles\n", + "Statistical=0.906, p=0.009\n", + "TUR-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.958, p=0.246\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Secure Internet servers\n", + "Statistical=0.976, p=0.689\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Secure Internet servers (per 1 million people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Service exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Service imports (BoP, current US$)\n", + "Statistical=0.820, p=0.000\n", + "TUR-Sex ratio at birth (male births per female births)\n", + "Statistical=0.863, p=0.001\n", + "TUR-Social contributions (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.966, p=0.407\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Start-up procedures to register a business (number)\n", + "Statistical=0.967, p=0.417\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.815, p=0.000\n", + "TUR-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.856, p=0.001\n", + "TUR-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.893, p=0.004\n", + "TUR-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.893, p=0.004\n", + "TUR-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.819, p=0.000\n", + "TUR-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.856, p=0.001\n", + "TUR-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.693, p=0.000\n", + "TUR-Surface area (sq. km)\n", + "Statistical=0.669, p=0.000\n", + "TUR-Tax payments (number)\n", + "Statistical=0.903, p=0.007\n", + "TUR-Tax revenue (% of GDP)\n", + "Statistical=0.975, p=0.633\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Taxes less subsidies on products (current US$)\n", + "Statistical=0.896, p=0.005\n", + "TUR-Taxes on goods and services (% of revenue)\n", + "Statistical=0.896, p=0.005\n", + "TUR-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.829, p=0.000\n", + "TUR-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.876, p=0.002\n", + "TUR-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.888, p=0.003\n", + "TUR-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.973, p=0.598\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Time required to build a warehouse (days)\n", + "Statistical=0.896, p=0.005\n", + "TUR-Time required to enforce a contract (days)\n", + "Statistical=0.860, p=0.001\n", + "TUR-Time required to get electricity (days)\n", + "Statistical=0.960, p=0.277\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Time required to register property (days)\n", + "Statistical=0.829, p=0.000\n", + "TUR-Time required to start a business (days)\n", + "Statistical=0.634, p=0.000\n", + "TUR-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.627, p=0.000\n", + "TUR-Time to obtain an electrical connection (days)\n", + "Statistical=0.650, p=0.000\n", + "TUR-Time to prepare and pay taxes (hours)\n", + "Statistical=0.605, p=0.000\n", + "TUR-Time to resolve insolvency (years)\n", + "Statistical=0.676, p=0.000\n", + "TUR-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.764, p=0.000\n", + "TUR-Total fisheries production (metric tons)\n", + "Statistical=0.769, p=0.000\n", + "TUR-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.707, p=0.000\n", + "TUR-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.740, p=0.000\n", + "TUR-Total natural resources rents (% of GDP)\n", + "Statistical=0.861, p=0.001\n", + "TUR-Total reserves (includes gold, current US$)\n", + "Statistical=0.843, p=0.000\n", + "TUR-Total reserves in months of imports\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Total reserves minus gold (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Total tax and contribution rate (% of profit)\n", + "Statistical=0.867, p=0.001\n", + "TUR-Trade (% of GDP)\n", + "Statistical=0.771, p=0.000\n", + "TUR-Trade in services (% of GDP)\n", + "Statistical=0.851, p=0.000\n", + "TUR-Transport services (% of commercial service exports)\n", + "Statistical=0.908, p=0.010\n", + "TUR-Transport services (% of commercial service imports)\n", + "Statistical=0.849, p=0.000\n", + "TUR-Transport services (% of service exports, BoP)\n", + "Statistical=0.906, p=0.009\n", + "TUR-Transport services (% of service imports, BoP)\n", + "Statistical=0.965, p=0.368\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Travel services (% of commercial service exports)\n", + "Statistical=0.861, p=0.001\n", + "TUR-Travel services (% of commercial service imports)\n", + "Statistical=0.979, p=0.761\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Travel services (% of service exports, BoP)\n", + "Statistical=0.908, p=0.010\n", + "TUR-Travel services (% of service imports, BoP)\n", + "Statistical=0.908, p=0.010\n", + "TUR-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.792, p=0.000\n", + "TUR-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.856, p=0.001\n", + "TUR-UHC service coverage index\n", + "Statistical=0.862, p=0.001\n", + "TUR-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.784, p=0.000\n", + "TUR-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.851, p=0.000\n", + "TUR-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.852, p=0.000\n", + "TUR-Urban land area (sq. km)\n", + "Statistical=0.855, p=0.001\n", + "TUR-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.826, p=0.000\n", + "TUR-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.712, p=0.000\n", + "TUR-Urban population\n", + "Statistical=0.730, p=0.000\n", + "TUR-Urban population (% of total population)\n", + "Statistical=0.894, p=0.004\n", + "TUR-Urban population growth (annual %)\n", + "Statistical=0.762, p=0.000\n", + "TUR-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.762, p=0.000\n", + "TUR-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.799, p=0.000\n", + "TUR-GDP (current US$)+1\n", + "Statistical=0.799, p=0.000\n", + "TUR-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-GDP (current US$)+2\n", + "Statistical=0.831, p=0.000\n", + "TUR-GDP (current US$)+3\n", + "Statistical=0.883, p=0.002\n", + "TUR-GDP (current US$)+5\n", + "Statistical=0.949, p=0.131\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-GDP (current US$)+8\n", + "Statistical=0.971, p=0.519\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-GDP (current US$)+13\n", + "Statistical=0.875, p=0.002\n", + "TUR-GDP (current US$)+21\n", + "Statistical=0.875, p=0.002\n", + "TUR-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.801, p=0.000\n", + "TUR-Deposit interest rate (%)\n", + "Statistical=0.863, p=0.001\n", + "TUR-Other taxes (% of revenue)\n", + "Statistical=0.904, p=0.008\n", + "TUR-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.821, p=0.000\n", + "TUR-Taxes on international trade (% of revenue)\n", + "Statistical=0.819, p=0.000\n", + "TUR-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.804, p=0.000\n", + "TUR-Broad money (% of GDP)\n", + "Statistical=0.972, p=0.546\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Broad money growth (annual %)\n", + "Statistical=0.954, p=0.183\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Broad money to total reserves ratio\n", + "Statistical=0.972, p=0.557\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.953, p=0.171\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.817, p=0.000\n", + "TUR-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "TUR-External health expenditure (% of current health expenditure)\n", + "Statistical=0.848, p=0.000\n", + "TUR-External health expenditure per capita (current US$)\n", + "Statistical=0.204, p=0.000\n", + "TUR-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.839, p=0.000\n", + "TUR-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.840, p=0.000\n", + "TUR-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.804, p=0.000\n", + "TUR-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.770, p=0.000\n", + "TUR-People practicing open defecation (% of population)\n", + "Statistical=0.819, p=0.000\n", + "TUR-Taxes on exports (% of tax revenue)\n", + "Statistical=0.864, p=0.001\n", + "TUR-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.874, p=0.001\n", + "TUR-Country\n", + "Statistical=0.810, p=0.000\n", + "TUR-Year\n", + "Statistical=0.829, p=0.000\n", + "TUR-Continent\n", + "Statistical=0.719, p=0.000\n", + "MAR-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Adjusted net national income (current US$)\n", + "Statistical=0.816, p=0.000\n", + "MAR-Adjusted net national income per capita (current US$)\n", + "Statistical=0.826, p=0.000\n", + "MAR-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.771, p=0.000\n", + "MAR-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.903, p=0.007\n", + "MAR-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.892, p=0.004\n", + "MAR-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.899, p=0.006\n", + "MAR-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Adjusted savings: net national savings (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Age dependency ratio (% of working-age population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Agricultural land (% of land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Agricultural land (sq. km)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Agricultural methane emissions (% of total)\n", + "Statistical=0.867, p=0.001\n", + "MAR-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.839, p=0.000\n", + "MAR-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.853, p=0.000\n", + "MAR-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.975, p=0.645\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.917, p=0.017\n", + "MAR-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.860, p=0.001\n", + "MAR-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.975, p=0.652\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Aquaculture production (metric tons)\n", + "Statistical=0.912, p=0.013\n", + "MAR-Arable land (% of land area)\n", + "Statistical=0.833, p=0.000\n", + "MAR-Arable land (hectares per person)\n", + "Statistical=0.929, p=0.038\n", + "MAR-Arable land (hectares)\n", + "Statistical=0.848, p=0.000\n", + "MAR-Armed forces personnel (% of total labor force)\n", + "Statistical=0.948, p=0.129\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.849, p=0.000\n", + "MAR-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.952, p=0.161\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.900, p=0.006\n", + "MAR-Average precipitation in depth (mm per year)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Average time to clear exports through customs (days)\n", + "Statistical=0.869, p=0.001\n", + "MAR-Births attended by skilled health staff (% of total)\n", + "Statistical=0.896, p=0.005\n", + "MAR-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.865, p=0.001\n", + "MAR-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.925, p=0.029\n", + "MAR-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.877, p=0.002\n", + "MAR-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.967, p=0.425\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-CO2 emissions (kt)\n", + "Statistical=0.954, p=0.187\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-CO2 emissions (metric tons per capita)\n", + "Statistical=0.898, p=0.005\n", + "MAR-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.917, p=0.018\n", + "MAR-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.966, p=0.390\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.862, p=0.001\n", + "MAR-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.867, p=0.001\n", + "MAR-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.911, p=0.012\n", + "MAR-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.972, p=0.546\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.859, p=0.001\n", + "MAR-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.868, p=0.001\n", + "MAR-Capture fisheries production (metric tons)\n", + "Statistical=0.845, p=0.000\n", + "MAR-Cereal production (metric tons)\n", + "Statistical=0.840, p=0.000\n", + "MAR-Cereal yield (kg per hectare)\n", + "Statistical=0.967, p=0.426\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Changes in inventories (current US$)\n", + "Statistical=0.867, p=0.001\n", + "MAR-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.785, p=0.000\n", + "MAR-Children out of school (% of primary school age)\n", + "Statistical=0.855, p=0.001\n", + "MAR-Coal rents (% of GDP)\n", + "Statistical=0.855, p=0.001\n", + "MAR-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.544, p=0.000\n", + "MAR-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.598, p=0.000\n", + "MAR-Commercial service exports (current US$)\n", + "Statistical=0.815, p=0.000\n", + "MAR-Commercial service imports (current US$)\n", + "Statistical=0.941, p=0.081\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Completeness of birth registration (%)\n", + "Statistical=0.814, p=0.000\n", + "MAR-Consumer price index (2010 = 100)\n", + "Statistical=0.948, p=0.128\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.898, p=0.006\n", + "MAR-Crop production index (2014-2016 = 100)\n", + "Statistical=0.844, p=0.000\n", + "MAR-Current account balance (% of GDP)\n", + "Statistical=0.969, p=0.483\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Current account balance (BoP, current US$)\n", + "Statistical=0.969, p=0.481\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Current health expenditure (% of GDP)\n", + "Statistical=0.927, p=0.033\n", + "MAR-Current health expenditure per capita (current US$)\n", + "Statistical=0.927, p=0.033\n", + "MAR-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.916, p=0.017\n", + "MAR-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.880, p=0.002\n", + "MAR-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.920, p=0.021\n", + "MAR-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.976, p=0.692\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.897, p=0.005\n", + "MAR-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.912, p=0.012\n", + "MAR-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.948, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.833, p=0.000\n", + "MAR-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.875, p=0.002\n", + "MAR-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.875, p=0.002\n", + "MAR-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.957, p=0.228\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Electric power consumption (kWh per capita)\n", + "Statistical=0.890, p=0.003\n", + "MAR-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.909, p=0.011\n", + "MAR-Electricity production from coal sources (% of total)\n", + "Statistical=0.890, p=0.003\n", + "MAR-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.924, p=0.027\n", + "MAR-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.787, p=0.000\n", + "MAR-Electricity production from nuclear sources (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Electricity production from oil sources (% of total)\n", + "Statistical=0.845, p=0.000\n", + "MAR-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.789, p=0.000\n", + "MAR-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.699, p=0.000\n", + "MAR-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.905, p=0.008\n", + "MAR-Export unit value index (2000 = 100)\n", + "Statistical=0.922, p=0.024\n", + "MAR-Export value index (2000 = 100)\n", + "Statistical=0.806, p=0.000\n", + "MAR-Export volume index (2000 = 100)\n", + "Statistical=0.800, p=0.000\n", + "MAR-Exports of goods and services (% of GDP)\n", + "Statistical=0.521, p=0.000\n", + "MAR-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.891, p=0.004\n", + "MAR-Exports of goods and services (current US$)\n", + "Statistical=0.899, p=0.006\n", + "MAR-External balance on goods and services (% of GDP)\n", + "Statistical=0.885, p=0.003\n", + "MAR-External balance on goods and services (current US$)\n", + "Statistical=0.962, p=0.306\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.612, p=0.000\n", + "MAR-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.958, p=0.234\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Final consumption expenditure (% of GDP)\n", + "Statistical=0.958, p=0.236\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Final consumption expenditure (current US$)\n", + "Statistical=0.919, p=0.019\n", + "MAR-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.908, p=0.010\n", + "MAR-Firms offering formal training (% of firms)\n", + "Statistical=0.888, p=0.003\n", + "MAR-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.786, p=0.000\n", + "MAR-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.771, p=0.000\n", + "MAR-Fixed broadband subscriptions\n", + "Statistical=0.907, p=0.009\n", + "MAR-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.843, p=0.000\n", + "MAR-Fixed telephone subscriptions\n", + "Statistical=0.887, p=0.003\n", + "MAR-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Food exports (% of merchandise exports)\n", + "Statistical=0.902, p=0.007\n", + "MAR-Food imports (% of merchandise imports)\n", + "Statistical=0.946, p=0.110\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Food production index (2014-2016 = 100)\n", + "Statistical=0.898, p=0.006\n", + "MAR-Forest area (% of land area)\n", + "Statistical=0.871, p=0.001\n", + "MAR-Forest area (sq. km)\n", + "Statistical=0.885, p=0.003\n", + "MAR-Forest rents (% of GDP)\n", + "Statistical=0.932, p=0.044\n", + "MAR-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.843, p=0.000\n", + "MAR-Fuel exports (% of merchandise exports)\n", + "Statistical=0.825, p=0.000\n", + "MAR-Fuel imports (% of merchandise imports)\n", + "Statistical=0.845, p=0.000\n", + "MAR-GDP (current US$)\n", + "Statistical=0.922, p=0.023\n", + "MAR-GDP deflator (base year varies by country)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.945, p=0.107\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-GDP growth (annual %)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-GDP per capita (current US$)\n", + "Statistical=0.928, p=0.035\n", + "MAR-GDP per capita growth (annual %)\n", + "Statistical=0.915, p=0.015\n", + "MAR-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.968, p=0.455\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.859, p=0.001\n", + "MAR-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.838, p=0.000\n", + "MAR-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.834, p=0.000\n", + "MAR-GNI (current US$)\n", + "Statistical=0.856, p=0.001\n", + "MAR-GNI growth (annual %)\n", + "Statistical=0.833, p=0.000\n", + "MAR-GNI per capita growth (annual %)\n", + "Statistical=0.834, p=0.000\n", + "MAR-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.979, p=0.781\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-General government final consumption expenditure (current US$)\n", + "Statistical=0.863, p=0.001\n", + "MAR-Gini index\n", + "Statistical=0.951, p=0.156\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Goods exports (BoP, current US$)\n", + "Statistical=0.704, p=0.000\n", + "MAR-Goods imports (BoP, current US$)\n", + "Statistical=0.885, p=0.003\n", + "MAR-Grants and other revenue (% of revenue)\n", + "Statistical=0.724, p=0.000\n", + "MAR-Gross capital formation (% of GDP)\n", + "Statistical=0.866, p=0.001\n", + "MAR-Gross capital formation (current US$)\n", + "Statistical=0.876, p=0.002\n", + "MAR-Gross domestic savings (% of GDP)\n", + "Statistical=0.927, p=0.033\n", + "MAR-Gross domestic savings (current US$)\n", + "Statistical=0.979, p=0.757\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.830, p=0.000\n", + "MAR-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.898, p=0.006\n", + "MAR-Gross savings (% of GDP)\n", + "Statistical=0.922, p=0.024\n", + "MAR-Gross savings (current US$)\n", + "Statistical=0.954, p=0.191\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.769, p=0.000\n", + "MAR-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.845, p=0.000\n", + "MAR-High-technology exports (% of manufactured exports)\n", + "Statistical=0.796, p=0.000\n", + "MAR-High-technology exports (current US$)\n", + "Statistical=0.890, p=0.003\n", + "MAR-Hospital beds (per 1,000 people)\n", + "Statistical=0.913, p=0.013\n", + "MAR-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.895, p=0.005\n", + "MAR-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.744, p=0.000\n", + "MAR-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.744, p=0.000\n", + "MAR-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.744, p=0.000\n", + "MAR-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data is NORMAL ( H0 not denied )\n", + "MAR-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.948, p=0.125\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.981, p=0.816\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.894, p=0.004\n", + "MAR-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.787, p=0.000\n", + "MAR-ICT goods exports (% of total goods exports)\n", + "Statistical=0.688, p=0.000\n", + "MAR-ICT goods imports (% total goods imports)\n", + "Statistical=0.565, p=0.000\n", + "MAR-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.849, p=0.000\n", + "MAR-ICT service exports (BoP, current US$)\n", + "Statistical=0.781, p=0.000\n", + "MAR-Import unit value index (2000 = 100)\n", + "Statistical=0.814, p=0.000\n", + "MAR-Import value index (2000 = 100)\n", + "Statistical=0.829, p=0.000\n", + "MAR-Import volume index (2000 = 100)\n", + "Statistical=0.962, p=0.303\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Imports of goods and services (% of GDP)\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.876, p=0.002\n", + "MAR-Imports of goods and services (current US$)\n", + "Statistical=0.818, p=0.000\n", + "MAR-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=0.478, p=0.000\n", + "MAR-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "MAR-Income share held by highest 10%\n", + "Statistical=0.664, p=0.000\n", + "MAR-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Income share held by lowest 10%\n", + "Statistical=0.748, p=0.000\n", + "MAR-Income share held by lowest 20%\n", + "Statistical=0.897, p=0.005\n", + "MAR-Income share held by second 20%\n", + "Statistical=0.798, p=0.000\n", + "MAR-Income share held by third 20%\n", + "Statistical=0.763, p=0.000\n", + "MAR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.792, p=0.000\n", + "MAR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.771, p=0.000\n", + "MAR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.778, p=0.000\n", + "MAR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.758, p=0.000\n", + "MAR-Individuals using the Internet (% of population)\n", + "Statistical=0.798, p=0.000\n", + "MAR-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.846, p=0.000\n", + "MAR-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.475, p=0.000\n", + "MAR-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Intentional homicides (per 100,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Interest payments (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-International migrant stock (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Labor tax and contributions (% of commercial profits)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Land area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Land under cereal production (hectares)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.866, p=0.001\n", + "MAR-Lifetime risk of maternal death (%)\n", + "Statistical=0.915, p=0.015\n", + "MAR-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.920, p=0.021\n", + "MAR-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.817, p=0.000\n", + "MAR-Livestock production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.830, p=0.000\n", + "MAR-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.889, p=0.003\n", + "MAR-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.856, p=0.001\n", + "MAR-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.785, p=0.000\n", + "MAR-Low-birthweight babies (% of births)\n", + "Statistical=0.786, p=0.000\n", + "MAR-Lower secondary school starting age (years)\n", + "Statistical=0.864, p=0.001\n", + "MAR-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.919, p=0.019\n", + "MAR-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.872, p=0.001\n", + "MAR-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.874, p=0.001\n", + "MAR-Marine protected areas (% of territorial waters)\n", + "Statistical=0.798, p=0.000\n", + "MAR-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.830, p=0.000\n", + "MAR-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.888, p=0.003\n", + "MAR-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.870, p=0.001\n", + "MAR-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.912, p=0.013\n", + "MAR-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.970, p=0.493\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.942, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Merchandise exports (current US$)\n", + "Statistical=0.800, p=0.000\n", + "MAR-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.925, p=0.029\n", + "MAR-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.872, p=0.001\n", + "MAR-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.945, p=0.107\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.767, p=0.000\n", + "MAR-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.726, p=0.000\n", + "MAR-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.824, p=0.000\n", + "MAR-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.729, p=0.000\n", + "MAR-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.817, p=0.000\n", + "MAR-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.733, p=0.000\n", + "MAR-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.878, p=0.002\n", + "MAR-Merchandise imports (current US$)\n", + "Statistical=0.898, p=0.006\n", + "MAR-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.782, p=0.000\n", + "MAR-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.848, p=0.000\n", + "MAR-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.914, p=0.014\n", + "MAR-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.705, p=0.000\n", + "MAR-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.882, p=0.002\n", + "MAR-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.888, p=0.003\n", + "MAR-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.919, p=0.019\n", + "MAR-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.920, p=0.021\n", + "MAR-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.868, p=0.001\n", + "MAR-Merchandise trade (% of GDP)\n", + "Statistical=0.953, p=0.178\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Methane emissions (% change from 1990)\n", + "Statistical=0.920, p=0.021\n", + "MAR-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.920, p=0.021\n", + "MAR-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.907, p=0.009\n", + "MAR-Military expenditure (% of GDP)\n", + "Statistical=0.874, p=0.001\n", + "MAR-Military expenditure (% of general government expenditure)\n", + "Statistical=0.867, p=0.001\n", + "MAR-Military expenditure (current USD)\n", + "Statistical=0.921, p=0.022\n", + "MAR-Mineral rents (% of GDP)\n", + "Statistical=0.791, p=0.000\n", + "MAR-Mobile cellular subscriptions\n", + "Statistical=0.830, p=0.000\n", + "MAR-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.845, p=0.000\n", + "MAR-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.818, p=0.000\n", + "MAR-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.751, p=0.000\n", + "MAR-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.751, p=0.000\n", + "MAR-Natural gas rents (% of GDP)\n", + "Statistical=0.802, p=0.000\n", + "MAR-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.956, p=0.207\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Net capital account (BoP, current US$)\n", + "Statistical=0.912, p=0.013\n", + "MAR-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.960, p=0.283\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Net financial account (BoP, current US$)\n", + "Statistical=0.968, p=0.436\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Net migration\n", + "Statistical=0.894, p=0.004\n", + "MAR-Net primary income (BoP, current US$)\n", + "Statistical=0.894, p=0.004\n", + "MAR-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.902, p=0.007\n", + "MAR-Net secondary income (BoP, current US$)\n", + "Statistical=0.854, p=0.001\n", + "MAR-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.688, p=0.000\n", + "MAR-Net trade in goods (BoP, current US$)\n", + "Statistical=0.631, p=0.000\n", + "MAR-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.724, p=0.000\n", + "MAR-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.722, p=0.000\n", + "MAR-New businesses registered (number)\n", + "Statistical=0.731, p=0.000\n", + "MAR-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.797, p=0.000\n", + "MAR-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.811, p=0.000\n", + "MAR-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Number of deaths ages 10-14 years\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Number of deaths ages 15-19 years\n", + "Statistical=0.870, p=0.001\n", + "MAR-Number of deaths ages 20-24 years\n", + "Statistical=0.922, p=0.024\n", + "MAR-Number of deaths ages 5-9 years\n", + "Statistical=0.927, p=0.031\n", + "MAR-Number of infant deaths\n", + "Statistical=0.958, p=0.236\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Number of maternal deaths\n", + "Statistical=0.910, p=0.012\n", + "MAR-Number of neonatal deaths\n", + "Statistical=0.947, p=0.118\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Number of under-five deaths\n", + "Statistical=0.911, p=0.012\n", + "MAR-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.892, p=0.004\n", + "MAR-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.851, p=0.000\n", + "MAR-Oil rents (% of GDP)\n", + "Statistical=0.871, p=0.001\n", + "MAR-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.871, p=0.001\n", + "MAR-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.932, p=0.044\n", + "MAR-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.967, p=0.424\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.949, p=0.131\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.908, p=0.010\n", + "MAR-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.908, p=0.010\n", + "MAR-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.911, p=0.012\n", + "MAR-People using at least basic drinking water services (% of population)\n", + "Statistical=0.859, p=0.001\n", + "MAR-People using at least basic sanitation services (% of population)\n", + "Statistical=0.951, p=0.156\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-People using safely managed sanitation services (% of population)\n", + "Statistical=0.951, p=0.156\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Permanent cropland (% of land area)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Physicians (per 1,000 people)\n", + "Statistical=0.898, p=0.006\n", + "MAR-Population ages 0-14 (% of total population)\n", + "Statistical=0.898, p=0.006\n", + "MAR-Population ages 15-64 (% of total population)\n", + "Statistical=0.911, p=0.012\n", + "MAR-Population ages 65 and above (% of total population)\n", + "Statistical=0.828, p=0.000\n", + "MAR-Population density (people per sq. km of land area)\n", + "Statistical=0.975, p=0.633\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Population growth (annual %)\n", + "Statistical=0.898, p=0.006\n", + "MAR-Population in largest city\n", + "Statistical=0.897, p=0.005\n", + "MAR-Population in the largest city (% of urban population)\n", + "Statistical=0.876, p=0.002\n", + "MAR-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.855, p=0.001\n", + "MAR-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.911, p=0.012\n", + "MAR-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.908, p=0.010\n", + "MAR-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.908, p=0.010\n", + "MAR-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.911, p=0.012\n", + "MAR-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.910, p=0.011\n", + "MAR-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.910, p=0.011\n", + "MAR-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.913, p=0.013\n", + "MAR-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.859, p=0.001\n", + "MAR-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.974, p=0.614\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.900, p=0.006\n", + "MAR-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.900, p=0.006\n", + "MAR-Prevalence of undernourishment (% of population)\n", + "Statistical=0.912, p=0.013\n", + "MAR-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.975, p=0.635\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Primary income payments (BoP, current US$)\n", + "Statistical=0.816, p=0.000\n", + "MAR-Primary income receipts (BoP, current US$)\n", + "Statistical=0.900, p=0.006\n", + "MAR-Primary school starting age (years)\n", + "Statistical=0.897, p=0.005\n", + "MAR-Private credit bureau coverage (% of adults)\n", + "Statistical=0.850, p=0.000\n", + "MAR-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.910, p=0.011\n", + "MAR-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.909, p=0.010\n", + "MAR-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.913, p=0.013\n", + "MAR-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.972, p=0.562\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Procedures to build a warehouse (number)\n", + "Statistical=0.975, p=0.648\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Procedures to register property (number)\n", + "Statistical=0.845, p=0.000\n", + "MAR-Profit tax (% of commercial profits)\n", + "Statistical=0.845, p=0.000\n", + "MAR-Progression to secondary school (%)\n", + "Statistical=0.903, p=0.008\n", + "MAR-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.872, p=0.001\n", + "MAR-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.824, p=0.000\n", + "MAR-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.828, p=0.000\n", + "MAR-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.826, p=0.000\n", + "MAR-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.718, p=0.000\n", + "MAR-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.863, p=0.001\n", + "MAR-Public credit registry coverage (% of adults)\n", + "Statistical=0.881, p=0.002\n", + "MAR-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.849, p=0.000\n", + "MAR-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.586, p=0.000\n", + "MAR-Rail lines (total route-km)\n", + "Statistical=0.983, p=0.890\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.888, p=0.003\n", + "MAR-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.948, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Refugee population by country or territory of asylum\n", + "Statistical=0.961, p=0.296\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Refugee population by country or territory of origin\n", + "Statistical=0.955, p=0.205\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.883, p=0.002\n", + "MAR-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.883, p=0.002\n", + "MAR-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.871, p=0.001\n", + "MAR-Research and development expenditure (% of GDP)\n", + "Statistical=0.824, p=0.000\n", + "MAR-Researchers in R&D (per million people)\n", + "Statistical=0.913, p=0.013\n", + "MAR-Reserves and related items (BoP, current US$)\n", + "Statistical=0.960, p=0.283\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.926, p=0.031\n", + "MAR-Rural land area (sq. km)\n", + "Statistical=0.881, p=0.002\n", + "MAR-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.983, p=0.887\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.967, p=0.430\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Rural population\n", + "Statistical=0.862, p=0.001\n", + "MAR-Rural population (% of total population)\n", + "Statistical=0.862, p=0.001\n", + "MAR-Rural population growth (annual %)\n", + "Statistical=0.870, p=0.001\n", + "MAR-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.807, p=0.000\n", + "MAR-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.796, p=0.000\n", + "MAR-Scientific and technical journal articles\n", + "Statistical=0.893, p=0.004\n", + "MAR-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.831, p=0.000\n", + "MAR-Secure Internet servers\n", + "Statistical=0.921, p=0.022\n", + "MAR-Secure Internet servers (per 1 million people)\n", + "Statistical=0.895, p=0.005\n", + "MAR-Service exports (BoP, current US$)\n", + "Statistical=0.895, p=0.005\n", + "MAR-Service imports (BoP, current US$)\n", + "Statistical=0.895, p=0.005\n", + "MAR-Sex ratio at birth (male births per female births)\n", + "Statistical=0.838, p=0.000\n", + "MAR-Social contributions (% of revenue)\n", + "Statistical=0.919, p=0.019\n", + "MAR-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.967, p=0.429\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Start-up procedures to register a business (number)\n", + "Statistical=0.962, p=0.320\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.907, p=0.009\n", + "MAR-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.849, p=0.000\n", + "MAR-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.905, p=0.008\n", + "MAR-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.905, p=0.008\n", + "MAR-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.911, p=0.012\n", + "MAR-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.856, p=0.001\n", + "MAR-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.428, p=0.000\n", + "MAR-Surface area (sq. km)\n", + "Statistical=0.470, p=0.000\n", + "MAR-Tax payments (number)\n", + "Statistical=0.950, p=0.148\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Tax revenue (% of GDP)\n", + "Statistical=0.988, p=0.968\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Taxes less subsidies on products (current US$)\n", + "Statistical=0.910, p=0.011\n", + "MAR-Taxes on goods and services (% of revenue)\n", + "Statistical=0.910, p=0.011\n", + "MAR-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.902, p=0.007\n", + "MAR-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.852, p=0.000\n", + "MAR-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.903, p=0.007\n", + "MAR-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.988, p=0.972\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Time required to build a warehouse (days)\n", + "Statistical=0.910, p=0.011\n", + "MAR-Time required to enforce a contract (days)\n", + "Statistical=0.891, p=0.004\n", + "MAR-Time required to get electricity (days)\n", + "Statistical=0.928, p=0.034\n", + "MAR-Time required to register property (days)\n", + "Statistical=0.902, p=0.007\n", + "MAR-Time required to start a business (days)\n", + "Statistical=0.664, p=0.000\n", + "MAR-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.433, p=0.000\n", + "MAR-Time to obtain an electrical connection (days)\n", + "Statistical=0.660, p=0.000\n", + "MAR-Time to prepare and pay taxes (hours)\n", + "Statistical=0.419, p=0.000\n", + "MAR-Time to resolve insolvency (years)\n", + "Statistical=0.665, p=0.000\n", + "MAR-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.662, p=0.000\n", + "MAR-Total fisheries production (metric tons)\n", + "Statistical=0.655, p=0.000\n", + "MAR-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.665, p=0.000\n", + "MAR-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.664, p=0.000\n", + "MAR-Total natural resources rents (% of GDP)\n", + "Statistical=0.799, p=0.000\n", + "MAR-Total reserves (includes gold, current US$)\n", + "Statistical=0.820, p=0.000\n", + "MAR-Total reserves in months of imports\n", + "Statistical=0.929, p=0.037\n", + "MAR-Total reserves minus gold (current US$)\n", + "Statistical=0.842, p=0.000\n", + "MAR-Total tax and contribution rate (% of profit)\n", + "Statistical=0.784, p=0.000\n", + "MAR-Trade (% of GDP)\n", + "Statistical=0.790, p=0.000\n", + "MAR-Trade in services (% of GDP)\n", + "Statistical=0.819, p=0.000\n", + "MAR-Transport services (% of commercial service exports)\n", + "Statistical=0.953, p=0.176\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Transport services (% of commercial service imports)\n", + "Statistical=0.840, p=0.000\n", + "MAR-Transport services (% of service exports, BoP)\n", + "Statistical=0.894, p=0.004\n", + "MAR-Transport services (% of service imports, BoP)\n", + "Statistical=0.889, p=0.003\n", + "MAR-Travel services (% of commercial service exports)\n", + "Statistical=0.831, p=0.000\n", + "MAR-Travel services (% of commercial service imports)\n", + "Statistical=0.948, p=0.125\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Travel services (% of service exports, BoP)\n", + "Statistical=0.901, p=0.007\n", + "MAR-Travel services (% of service imports, BoP)\n", + "Statistical=0.901, p=0.007\n", + "MAR-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.875, p=0.001\n", + "MAR-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.836, p=0.000\n", + "MAR-UHC service coverage index\n", + "Statistical=0.829, p=0.000\n", + "MAR-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.801, p=0.000\n", + "MAR-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.854, p=0.001\n", + "MAR-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.889, p=0.003\n", + "MAR-Urban land area (sq. km)\n", + "Statistical=0.912, p=0.013\n", + "MAR-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.818, p=0.000\n", + "MAR-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.819, p=0.000\n", + "MAR-Urban population\n", + "Statistical=0.913, p=0.013\n", + "MAR-Urban population (% of total population)\n", + "Statistical=0.870, p=0.001\n", + "MAR-Urban population growth (annual %)\n", + "Statistical=0.721, p=0.000\n", + "MAR-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.721, p=0.000\n", + "MAR-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.711, p=0.000\n", + "MAR-GDP (current US$)+1\n", + "Statistical=0.711, p=0.000\n", + "MAR-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-GDP (current US$)+2\n", + "Statistical=0.785, p=0.000\n", + "MAR-GDP (current US$)+3\n", + "Statistical=0.847, p=0.000\n", + "MAR-GDP (current US$)+5\n", + "Statistical=0.980, p=0.810\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-GDP (current US$)+8\n", + "Statistical=0.953, p=0.173\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-GDP (current US$)+13\n", + "Statistical=0.912, p=0.013\n", + "MAR-GDP (current US$)+21\n", + "Statistical=0.912, p=0.013\n", + "MAR-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.899, p=0.006\n", + "MAR-Deposit interest rate (%)\n", + "Statistical=0.850, p=0.000\n", + "MAR-Other taxes (% of revenue)\n", + "Statistical=0.908, p=0.010\n", + "MAR-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.919, p=0.020\n", + "MAR-Taxes on international trade (% of revenue)\n", + "Statistical=0.919, p=0.020\n", + "MAR-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.833, p=0.000\n", + "MAR-Broad money (% of GDP)\n", + "Statistical=0.970, p=0.489\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Broad money growth (annual %)\n", + "Statistical=0.903, p=0.007\n", + "MAR-Broad money to total reserves ratio\n", + "Statistical=0.969, p=0.485\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.922, p=0.024\n", + "MAR-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.927, p=0.032\n", + "MAR-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.874, p=0.001\n", + "MAR-External health expenditure (% of current health expenditure)\n", + "Statistical=0.863, p=0.001\n", + "MAR-External health expenditure per capita (current US$)\n", + "Statistical=0.704, p=0.000\n", + "MAR-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.838, p=0.000\n", + "MAR-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.766, p=0.000\n", + "MAR-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.942, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.885, p=0.003\n", + "MAR-People practicing open defecation (% of population)\n", + "Statistical=0.878, p=0.002\n", + "MAR-Taxes on exports (% of tax revenue)\n", + "Statistical=0.879, p=0.002\n", + "MAR-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.871, p=0.001\n", + "MAR-Country\n", + "Statistical=0.960, p=0.283\n", + "Data is NORMAL ( H0 not denied )\n", + "MAR-Year\n", + "Statistical=0.851, p=0.000\n", + "MAR-Continent\n", + "Statistical=0.846, p=0.000\n", + "SEN-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Adjusted net national income (current US$)\n", + "Statistical=0.860, p=0.001\n", + "SEN-Adjusted net national income per capita (current US$)\n", + "Statistical=0.904, p=0.008\n", + "SEN-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.829, p=0.000\n", + "SEN-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.922, p=0.024\n", + "SEN-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.910, p=0.011\n", + "SEN-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.584, p=0.000\n", + "SEN-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.568, p=0.000\n", + "SEN-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.597, p=0.000\n", + "SEN-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.590, p=0.000\n", + "SEN-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.535, p=0.000\n", + "SEN-Age dependency ratio (% of working-age population)\n", + "Statistical=0.572, p=0.000\n", + "SEN-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.602, p=0.000\n", + "SEN-Agricultural land (% of land area)\n", + "Statistical=0.595, p=0.000\n", + "SEN-Agricultural land (sq. km)\n", + "Statistical=0.569, p=0.000\n", + "SEN-Agricultural methane emissions (% of total)\n", + "Statistical=0.862, p=0.001\n", + "SEN-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.877, p=0.002\n", + "SEN-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.842, p=0.000\n", + "SEN-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.987, p=0.958\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.889, p=0.003\n", + "SEN-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.877, p=0.002\n", + "SEN-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.985, p=0.926\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Aquaculture production (metric tons)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Arable land (% of land area)\n", + "Statistical=0.887, p=0.003\n", + "SEN-Arable land (hectares per person)\n", + "Statistical=0.926, p=0.029\n", + "SEN-Arable land (hectares)\n", + "Statistical=0.853, p=0.000\n", + "SEN-Armed forces personnel (% of total labor force)\n", + "Statistical=0.932, p=0.044\n", + "SEN-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.855, p=0.001\n", + "SEN-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.894, p=0.004\n", + "SEN-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.811, p=0.000\n", + "SEN-Average precipitation in depth (mm per year)\n", + "Statistical=0.924, p=0.027\n", + "SEN-Average time to clear exports through customs (days)\n", + "Statistical=0.916, p=0.016\n", + "SEN-Births attended by skilled health staff (% of total)\n", + "Statistical=0.918, p=0.018\n", + "SEN-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.857, p=0.001\n", + "SEN-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.803, p=0.000\n", + "SEN-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.706, p=0.000\n", + "SEN-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.933, p=0.048\n", + "SEN-CO2 emissions (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-CO2 emissions (metric tons per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.718, p=0.000\n", + "SEN-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.923, p=0.026\n", + "SEN-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.841, p=0.000\n", + "SEN-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.909, p=0.010\n", + "SEN-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.970, p=0.499\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.803, p=0.000\n", + "SEN-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.825, p=0.000\n", + "SEN-Capture fisheries production (metric tons)\n", + "Statistical=0.876, p=0.002\n", + "SEN-Cereal production (metric tons)\n", + "Statistical=0.904, p=0.008\n", + "SEN-Cereal yield (kg per hectare)\n", + "Statistical=0.859, p=0.001\n", + "SEN-Changes in inventories (current US$)\n", + "Statistical=0.895, p=0.005\n", + "SEN-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.703, p=0.000\n", + "SEN-Children out of school (% of primary school age)\n", + "Statistical=0.953, p=0.180\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Coal rents (% of GDP)\n", + "Statistical=0.953, p=0.180\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.725, p=0.000\n", + "SEN-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.709, p=0.000\n", + "SEN-Commercial service exports (current US$)\n", + "Statistical=0.798, p=0.000\n", + "SEN-Commercial service imports (current US$)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Completeness of birth registration (%)\n", + "Statistical=0.808, p=0.000\n", + "SEN-Consumer price index (2010 = 100)\n", + "Statistical=0.948, p=0.130\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Crop production index (2014-2016 = 100)\n", + "Statistical=0.886, p=0.003\n", + "SEN-Current account balance (% of GDP)\n", + "Statistical=0.965, p=0.369\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Current account balance (BoP, current US$)\n", + "Statistical=0.986, p=0.937\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Current health expenditure (% of GDP)\n", + "Statistical=0.864, p=0.001\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SEN-Current health expenditure per capita (current US$)\n", + "Statistical=0.864, p=0.001\n", + "SEN-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.902, p=0.007\n", + "SEN-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.884, p=0.003\n", + "SEN-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.846, p=0.000\n", + "SEN-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.790, p=0.000\n", + "SEN-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.880, p=0.002\n", + "SEN-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.932, p=0.044\n", + "SEN-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.693, p=0.000\n", + "SEN-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.694, p=0.000\n", + "SEN-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.692, p=0.000\n", + "SEN-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.666, p=0.000\n", + "SEN-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.666, p=0.000\n", + "SEN-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.703, p=0.000\n", + "SEN-Electric power consumption (kWh per capita)\n", + "Statistical=0.952, p=0.170\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Electricity production from coal sources (% of total)\n", + "Statistical=0.952, p=0.170\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.907, p=0.009\n", + "SEN-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.854, p=0.000\n", + "SEN-Electricity production from nuclear sources (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Electricity production from oil sources (% of total)\n", + "Statistical=0.959, p=0.255\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.685, p=0.000\n", + "SEN-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.694, p=0.000\n", + "SEN-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.745, p=0.000\n", + "SEN-Energy related methane emissions (% of total)\n", + "Statistical=0.692, p=0.000\n", + "SEN-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.952, p=0.162\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Export unit value index (2000 = 100)\n", + "Statistical=0.876, p=0.002\n", + "SEN-Export value index (2000 = 100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Export volume index (2000 = 100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Exports of goods and services (% of GDP)\n", + "Statistical=0.511, p=0.000\n", + "SEN-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.876, p=0.002\n", + "SEN-Exports of goods and services (current US$)\n", + "Statistical=0.835, p=0.000\n", + "SEN-External balance on goods and services (% of GDP)\n", + "Statistical=0.973, p=0.578\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-External balance on goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.540, p=0.000\n", + "SEN-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.926, p=0.030\n", + "SEN-Final consumption expenditure (% of GDP)\n", + "Statistical=0.926, p=0.030\n", + "SEN-Final consumption expenditure (current US$)\n", + "Statistical=0.915, p=0.015\n", + "SEN-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.905, p=0.008\n", + "SEN-Firms offering formal training (% of firms)\n", + "Statistical=0.908, p=0.010\n", + "SEN-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.871, p=0.001\n", + "SEN-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Fixed broadband subscriptions\n", + "Statistical=0.882, p=0.002\n", + "SEN-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.843, p=0.000\n", + "SEN-Fixed telephone subscriptions\n", + "Statistical=0.922, p=0.024\n", + "SEN-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.744, p=0.000\n", + "SEN-Food exports (% of merchandise exports)\n", + "Statistical=0.880, p=0.002\n", + "SEN-Food imports (% of merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Food production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Forest area (% of land area)\n", + "Statistical=0.919, p=0.020\n", + "SEN-Forest area (sq. km)\n", + "Statistical=0.893, p=0.004\n", + "SEN-Forest rents (% of GDP)\n", + "Statistical=0.970, p=0.492\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.844, p=0.000\n", + "SEN-Fuel exports (% of merchandise exports)\n", + "Statistical=0.825, p=0.000\n", + "SEN-Fuel imports (% of merchandise imports)\n", + "Statistical=0.846, p=0.000\n", + "SEN-GDP (current US$)\n", + "Statistical=0.925, p=0.028\n", + "SEN-GDP deflator (base year varies by country)\n", + "Statistical=0.921, p=0.022\n", + "SEN-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.923, p=0.025\n", + "SEN-GDP growth (annual %)\n", + "Statistical=0.917, p=0.018\n", + "SEN-GDP per capita (current US$)\n", + "Statistical=0.922, p=0.023\n", + "SEN-GDP per capita growth (annual %)\n", + "Statistical=0.824, p=0.000\n", + "SEN-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.852, p=0.000\n", + "SEN-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.867, p=0.001\n", + "SEN-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.847, p=0.000\n", + "SEN-GNI (current US$)\n", + "Statistical=0.959, p=0.264\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-GNI growth (annual %)\n", + "Statistical=0.891, p=0.004\n", + "SEN-GNI per capita growth (annual %)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.933, p=0.048\n", + "SEN-General government final consumption expenditure (current US$)\n", + "Statistical=0.956, p=0.207\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Gini index\n", + "Statistical=0.972, p=0.561\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Goods imports (BoP, current US$)\n", + "Statistical=0.899, p=0.006\n", + "SEN-Grants and other revenue (% of revenue)\n", + "Statistical=0.792, p=0.000\n", + "SEN-Gross capital formation (% of GDP)\n", + "Statistical=0.818, p=0.000\n", + "SEN-Gross capital formation (current US$)\n", + "Statistical=0.845, p=0.000\n", + "SEN-Gross domestic savings (% of GDP)\n", + "Statistical=0.961, p=0.288\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Gross domestic savings (current US$)\n", + "Statistical=0.856, p=0.001\n", + "SEN-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.743, p=0.000\n", + "SEN-Gross fixed capital formation (current US$)\n", + "Statistical=0.704, p=0.000\n", + "SEN-Gross national expenditure (% of GDP)\n", + "Statistical=0.693, p=0.000\n", + "SEN-Gross national expenditure (current US$)\n", + "Statistical=0.632, p=0.000\n", + "SEN-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Gross savings (% of GDP)\n", + "Statistical=0.933, p=0.048\n", + "SEN-Gross savings (current US$)\n", + "Statistical=0.902, p=0.007\n", + "SEN-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.802, p=0.000\n", + "SEN-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.807, p=0.000\n", + "SEN-High-technology exports (% of manufactured exports)\n", + "Statistical=0.845, p=0.000\n", + "SEN-High-technology exports (current US$)\n", + "Statistical=0.880, p=0.002\n", + "SEN-Hospital beds (per 1,000 people)\n", + "Statistical=0.956, p=0.209\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.926, p=0.030\n", + "SEN-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.790, p=0.000\n", + "SEN-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.790, p=0.000\n", + "SEN-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.790, p=0.000\n", + "SEN-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.923, p=0.025\n", + "SEN-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.912, p=0.012\n", + "SEN-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.850, p=0.000\n", + "SEN-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.615, p=0.000\n", + "SEN-ICT goods exports (% of total goods exports)\n", + "Statistical=0.622, p=0.000\n", + "SEN-ICT goods imports (% total goods imports)\n", + "Statistical=0.727, p=0.000\n", + "SEN-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.867, p=0.001\n", + "SEN-ICT service exports (BoP, current US$)\n", + "Statistical=0.823, p=0.000\n", + "SEN-Import unit value index (2000 = 100)\n", + "Statistical=0.857, p=0.001\n", + "SEN-Import value index (2000 = 100)\n", + "Statistical=0.228, p=0.000\n", + "SEN-Import volume index (2000 = 100)\n", + "Statistical=0.451, p=0.000\n", + "SEN-Imports of goods and services (% of GDP)\n", + "Statistical=0.920, p=0.021\n", + "SEN-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.856, p=0.001\n", + "SEN-Imports of goods and services (current US$)\n", + "Statistical=0.851, p=0.000\n", + "SEN-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "SEN-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Income share held by lowest 10%\n", + "Statistical=0.890, p=0.004\n", + "SEN-Income share held by lowest 20%\n", + "Statistical=0.890, p=0.003\n", + "SEN-Income share held by second 20%\n", + "Statistical=0.930, p=0.039\n", + "SEN-Income share held by third 20%\n", + "Statistical=0.899, p=0.006\n", + "SEN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.768, p=0.000\n", + "SEN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.851, p=0.000\n", + "SEN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.876, p=0.002\n", + "SEN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.893, p=0.004\n", + "SEN-Individuals using the Internet (% of population)\n", + "Statistical=0.829, p=0.000\n", + "SEN-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.813, p=0.000\n", + "SEN-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.455, p=0.000\n", + "SEN-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.710, p=0.000\n", + "SEN-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.710, p=0.000\n", + "SEN-Intentional homicides (per 100,000 people)\n", + "Statistical=0.713, p=0.000\n", + "SEN-Interest payments (% of revenue)\n", + "Statistical=0.783, p=0.000\n", + "SEN-International migrant stock (% of population)\n", + "Statistical=0.722, p=0.000\n", + "SEN-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.474, p=0.000\n", + "SEN-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.780, p=0.000\n", + "SEN-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.726, p=0.000\n", + "SEN-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.717, p=0.000\n", + "SEN-Land area (sq. km)\n", + "Statistical=0.661, p=0.000\n", + "SEN-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.660, p=0.000\n", + "SEN-Land under cereal production (hectares)\n", + "Statistical=0.664, p=0.000\n", + "SEN-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.841, p=0.000\n", + "SEN-Lifetime risk of maternal death (%)\n", + "Statistical=0.787, p=0.000\n", + "SEN-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.949, p=0.134\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.885, p=0.003\n", + "SEN-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.867, p=0.001\n", + "SEN-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.895, p=0.005\n", + "SEN-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.897, p=0.005\n", + "SEN-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.896, p=0.005\n", + "SEN-Low-birthweight babies (% of births)\n", + "Statistical=0.915, p=0.015\n", + "SEN-Lower secondary school starting age (years)\n", + "Statistical=0.892, p=0.004\n", + "SEN-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.900, p=0.006\n", + "SEN-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.888, p=0.003\n", + "SEN-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Marine protected areas (% of territorial waters)\n", + "Statistical=0.927, p=0.032\n", + "SEN-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.836, p=0.000\n", + "SEN-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.904, p=0.008\n", + "SEN-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.904, p=0.008\n", + "SEN-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.908, p=0.010\n", + "SEN-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.911, p=0.012\n", + "SEN-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.763, p=0.000\n", + "SEN-Merchandise exports (current US$)\n", + "Statistical=0.837, p=0.000\n", + "SEN-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.851, p=0.000\n", + "SEN-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.839, p=0.000\n", + "SEN-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.822, p=0.000\n", + "SEN-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.911, p=0.012\n", + "SEN-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.873, p=0.001\n", + "SEN-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.867, p=0.001\n", + "SEN-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.652, p=0.000\n", + "SEN-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.889, p=0.003\n", + "SEN-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.771, p=0.000\n", + "SEN-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.856, p=0.001\n", + "SEN-Merchandise imports (current US$)\n", + "Statistical=0.879, p=0.002\n", + "SEN-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.920, p=0.020\n", + "SEN-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.927, p=0.033\n", + "SEN-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.797, p=0.000\n", + "SEN-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.889, p=0.003\n", + "SEN-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.952, p=0.164\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.831, p=0.000\n", + "SEN-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.973, p=0.593\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.862, p=0.001\n", + "SEN-Merchandise trade (% of GDP)\n", + "Statistical=0.950, p=0.148\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Methane emissions (% change from 1990)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.918, p=0.018\n", + "SEN-Military expenditure (% of GDP)\n", + "Statistical=0.865, p=0.001\n", + "SEN-Military expenditure (% of general government expenditure)\n", + "Statistical=0.861, p=0.001\n", + "SEN-Military expenditure (current USD)\n", + "Statistical=0.957, p=0.225\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Mineral rents (% of GDP)\n", + "Statistical=0.497, p=0.000\n", + "SEN-Mobile cellular subscriptions\n", + "Statistical=0.925, p=0.029\n", + "SEN-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.877, p=0.002\n", + "SEN-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.791, p=0.000\n", + "SEN-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.786, p=0.000\n", + "SEN-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.756, p=0.000\n", + "SEN-Natural gas rents (% of GDP)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.709, p=0.000\n", + "SEN-Net capital account (BoP, current US$)\n", + "Statistical=0.933, p=0.047\n", + "SEN-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.949, p=0.131\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Net financial account (BoP, current US$)\n", + "Statistical=0.977, p=0.720\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Net migration\n", + "Statistical=0.926, p=0.031\n", + "SEN-Net primary income (BoP, current US$)\n", + "Statistical=0.926, p=0.031\n", + "SEN-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.931, p=0.040\n", + "SEN-Net secondary income (BoP, current US$)\n", + "Statistical=0.875, p=0.001\n", + "SEN-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.694, p=0.000\n", + "SEN-Net trade in goods (BoP, current US$)\n", + "Statistical=0.694, p=0.000\n", + "SEN-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.694, p=0.000\n", + "SEN-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.694, p=0.000\n", + "SEN-New businesses registered (number)\n", + "Statistical=0.694, p=0.000\n", + "SEN-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.805, p=0.000\n", + "SEN-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.798, p=0.000\n", + "SEN-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.909, p=0.011\n", + "SEN-Number of deaths ages 10-14 years\n", + "Statistical=0.919, p=0.019\n", + "SEN-Number of deaths ages 15-19 years\n", + "Statistical=0.889, p=0.003\n", + "SEN-Number of deaths ages 20-24 years\n", + "Statistical=0.955, p=0.200\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Number of deaths ages 5-9 years\n", + "Statistical=0.897, p=0.005\n", + "SEN-Number of infant deaths\n", + "Statistical=0.865, p=0.001\n", + "SEN-Number of maternal deaths\n", + "Statistical=0.884, p=0.002\n", + "SEN-Number of neonatal deaths\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Number of under-five deaths\n", + "Statistical=0.898, p=0.006\n", + "SEN-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.960, p=0.271\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.908, p=0.010\n", + "SEN-Oil rents (% of GDP)\n", + "Statistical=0.956, p=0.215\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.956, p=0.215\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.970, p=0.504\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.861, p=0.001\n", + "SEN-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.956, p=0.210\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.876, p=0.002\n", + "SEN-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.910, p=0.011\n", + "SEN-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.910, p=0.011\n", + "SEN-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.924, p=0.027\n", + "SEN-People using at least basic drinking water services (% of population)\n", + "Statistical=0.879, p=0.002\n", + "SEN-People using at least basic sanitation services (% of population)\n", + "Statistical=0.905, p=0.008\n", + "SEN-People using safely managed sanitation services (% of population)\n", + "Statistical=0.905, p=0.008\n", + "SEN-Permanent cropland (% of land area)\n", + "Statistical=0.968, p=0.436\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Physicians (per 1,000 people)\n", + "Statistical=0.916, p=0.017\n", + "SEN-Population ages 0-14 (% of total population)\n", + "Statistical=0.916, p=0.017\n", + "SEN-Population ages 15-64 (% of total population)\n", + "Statistical=0.952, p=0.162\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Population ages 65 and above (% of total population)\n", + "Statistical=0.895, p=0.005\n", + "SEN-Population density (people per sq. km of land area)\n", + "Statistical=0.968, p=0.449\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Population growth (annual %)\n", + "Statistical=0.916, p=0.017\n", + "SEN-Population in largest city\n", + "Statistical=0.930, p=0.038\n", + "SEN-Population in the largest city (% of urban population)\n", + "Statistical=0.921, p=0.023\n", + "SEN-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.886, p=0.003\n", + "SEN-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.912, p=0.013\n", + "SEN-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.910, p=0.011\n", + "SEN-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.913, p=0.013\n", + "SEN-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.924, p=0.027\n", + "SEN-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.917, p=0.017\n", + "SEN-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.917, p=0.017\n", + "SEN-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.928, p=0.034\n", + "SEN-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.879, p=0.002\n", + "SEN-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.960, p=0.269\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.927, p=0.032\n", + "SEN-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.927, p=0.032\n", + "SEN-Prevalence of undernourishment (% of population)\n", + "Statistical=0.952, p=0.166\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.959, p=0.256\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Primary income payments (BoP, current US$)\n", + "Statistical=0.878, p=0.002\n", + "SEN-Primary income receipts (BoP, current US$)\n", + "Statistical=0.927, p=0.032\n", + "SEN-Primary school starting age (years)\n", + "Statistical=0.933, p=0.049\n", + "SEN-Private credit bureau coverage (% of adults)\n", + "Statistical=0.851, p=0.000\n", + "SEN-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.917, p=0.017\n", + "SEN-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.917, p=0.018\n", + "SEN-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.928, p=0.034\n", + "SEN-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.965, p=0.368\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Procedures to build a warehouse (number)\n", + "Statistical=0.971, p=0.516\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Procedures to register property (number)\n", + "Statistical=0.925, p=0.029\n", + "SEN-Profit tax (% of commercial profits)\n", + "Statistical=0.925, p=0.029\n", + "SEN-Progression to secondary school (%)\n", + "Statistical=0.894, p=0.004\n", + "SEN-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.894, p=0.004\n", + "SEN-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.880, p=0.002\n", + "SEN-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.862, p=0.001\n", + "SEN-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.857, p=0.001\n", + "SEN-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.815, p=0.000\n", + "SEN-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Public credit registry coverage (% of adults)\n", + "Statistical=0.861, p=0.001\n", + "SEN-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.846, p=0.000\n", + "SEN-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.829, p=0.000\n", + "SEN-Rail lines (total route-km)\n", + "Statistical=0.500, p=0.000\n", + "SEN-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.444, p=0.000\n", + "SEN-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.972, p=0.566\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Refugee population by country or territory of asylum\n", + "Statistical=0.946, p=0.111\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Refugee population by country or territory of origin\n", + "Statistical=0.974, p=0.627\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.868, p=0.001\n", + "SEN-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.868, p=0.001\n", + "SEN-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.878, p=0.002\n", + "SEN-Research and development expenditure (% of GDP)\n", + "Statistical=0.868, p=0.001\n", + "SEN-Researchers in R&D (per million people)\n", + "Statistical=0.889, p=0.003\n", + "SEN-Reserves and related items (BoP, current US$)\n", + "Statistical=0.949, p=0.131\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.882, p=0.002\n", + "SEN-Rural land area (sq. km)\n", + "Statistical=0.834, p=0.000\n", + "SEN-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Rural population\n", + "Statistical=0.789, p=0.000\n", + "SEN-Rural population (% of total population)\n", + "Statistical=0.789, p=0.000\n", + "SEN-Rural population growth (annual %)\n", + "Statistical=0.872, p=0.001\n", + "SEN-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.852, p=0.000\n", + "SEN-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.813, p=0.000\n", + "SEN-Scientific and technical journal articles\n", + "Statistical=0.822, p=0.000\n", + "SEN-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.818, p=0.000\n", + "SEN-Secure Internet servers\n", + "Statistical=0.975, p=0.649\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Secure Internet servers (per 1 million people)\n", + "Statistical=0.902, p=0.007\n", + "SEN-Service exports (BoP, current US$)\n", + "Statistical=0.901, p=0.007\n", + "SEN-Service imports (BoP, current US$)\n", + "Statistical=0.926, p=0.029\n", + "SEN-Sex ratio at birth (male births per female births)\n", + "Statistical=0.880, p=0.002\n", + "SEN-Social contributions (% of revenue)\n", + "Statistical=0.880, p=0.002\n", + "SEN-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Start-up procedures to register a business (number)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.887, p=0.003\n", + "SEN-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.884, p=0.003\n", + "SEN-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.901, p=0.007\n", + "SEN-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.901, p=0.007\n", + "SEN-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.920, p=0.021\n", + "SEN-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.876, p=0.002\n", + "SEN-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.746, p=0.000\n", + "SEN-Surface area (sq. km)\n", + "Statistical=0.713, p=0.000\n", + "SEN-Tax payments (number)\n", + "Statistical=0.909, p=0.011\n", + "SEN-Tax revenue (% of GDP)\n", + "Statistical=0.983, p=0.890\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Taxes less subsidies on products (current US$)\n", + "Statistical=0.927, p=0.033\n", + "SEN-Taxes on goods and services (% of revenue)\n", + "Statistical=0.927, p=0.033\n", + "SEN-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.867, p=0.001\n", + "SEN-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.990, p=0.989\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Time required to build a warehouse (days)\n", + "Statistical=0.927, p=0.033\n", + "SEN-Time required to enforce a contract (days)\n", + "Statistical=0.918, p=0.018\n", + "SEN-Time required to get electricity (days)\n", + "Statistical=0.910, p=0.011\n", + "SEN-Time required to register property (days)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Time required to start a business (days)\n", + "Statistical=0.410, p=0.000\n", + "SEN-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.643, p=0.000\n", + "SEN-Time to obtain an electrical connection (days)\n", + "Statistical=0.643, p=0.000\n", + "SEN-Time to prepare and pay taxes (hours)\n", + "Statistical=0.643, p=0.000\n", + "SEN-Time to resolve insolvency (years)\n", + "Statistical=0.410, p=0.000\n", + "SEN-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.403, p=0.000\n", + "SEN-Total fisheries production (metric tons)\n", + "Statistical=0.668, p=0.000\n", + "SEN-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.397, p=0.000\n", + "SEN-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.408, p=0.000\n", + "SEN-Total natural resources rents (% of GDP)\n", + "Statistical=0.876, p=0.002\n", + "SEN-Total reserves (includes gold, current US$)\n", + "Statistical=0.895, p=0.005\n", + "SEN-Total reserves in months of imports\n", + "Statistical=0.916, p=0.016\n", + "SEN-Total reserves minus gold (current US$)\n", + "Statistical=0.864, p=0.001\n", + "SEN-Total tax and contribution rate (% of profit)\n", + "Statistical=0.813, p=0.000\n", + "SEN-Trade (% of GDP)\n", + "Statistical=0.784, p=0.000\n", + "SEN-Trade in services (% of GDP)\n", + "Statistical=0.907, p=0.009\n", + "SEN-Transport services (% of commercial service exports)\n", + "Statistical=0.863, p=0.001\n", + "SEN-Transport services (% of commercial service imports)\n", + "Statistical=0.871, p=0.001\n", + "SEN-Transport services (% of service exports, BoP)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Transport services (% of service imports, BoP)\n", + "Statistical=0.981, p=0.823\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Travel services (% of commercial service exports)\n", + "Statistical=0.850, p=0.000\n", + "SEN-Travel services (% of commercial service imports)\n", + "Statistical=0.982, p=0.862\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Travel services (% of service exports, BoP)\n", + "Statistical=0.852, p=0.000\n", + "SEN-Travel services (% of service imports, BoP)\n", + "Statistical=0.852, p=0.000\n", + "SEN-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.918, p=0.018\n", + "SEN-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.858, p=0.001\n", + "SEN-UHC service coverage index\n", + "Statistical=0.852, p=0.000\n", + "SEN-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.851, p=0.000\n", + "SEN-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.914, p=0.014\n", + "SEN-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.780, p=0.000\n", + "SEN-Urban land area (sq. km)\n", + "Statistical=0.801, p=0.000\n", + "SEN-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.919, p=0.020\n", + "SEN-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.898, p=0.005\n", + "SEN-Urban population\n", + "Statistical=0.853, p=0.000\n", + "SEN-Urban population (% of total population)\n", + "Statistical=0.812, p=0.000\n", + "SEN-Urban population growth (annual %)\n", + "Statistical=0.812, p=0.000\n", + "SEN-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.812, p=0.000\n", + "SEN-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.722, p=0.000\n", + "SEN-GDP (current US$)+1\n", + "Statistical=0.722, p=0.000\n", + "SEN-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-GDP (current US$)+2\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-GDP (current US$)+3\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-GDP (current US$)+5\n", + "Statistical=0.961, p=0.283\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-GDP (current US$)+8\n", + "Statistical=0.981, p=0.833\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-GDP (current US$)+13\n", + "Statistical=0.926, p=0.031\n", + "SEN-GDP (current US$)+21\n", + "Statistical=0.926, p=0.031\n", + "SEN-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.926, p=0.030\n", + "SEN-Deposit interest rate (%)\n", + "Statistical=0.883, p=0.002\n", + "SEN-Other taxes (% of revenue)\n", + "Statistical=0.929, p=0.037\n", + "SEN-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Taxes on international trade (% of revenue)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.982, p=0.850\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Broad money (% of GDP)\n", + "Statistical=0.915, p=0.015\n", + "SEN-Broad money growth (annual %)\n", + "Statistical=0.929, p=0.037\n", + "SEN-Broad money to total reserves ratio\n", + "Statistical=0.893, p=0.004\n", + "SEN-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.963, p=0.328\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.478, p=0.000\n", + "SEN-External health expenditure (% of current health expenditure)\n", + "Statistical=0.475, p=0.000\n", + "SEN-External health expenditure per capita (current US$)\n", + "Statistical=0.754, p=0.000\n", + "SEN-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.830, p=0.000\n", + "SEN-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.956, p=0.213\n", + "Data is NORMAL ( H0 not denied )\n", + "SEN-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.809, p=0.000\n", + "SEN-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.859, p=0.001\n", + "SEN-People practicing open defecation (% of population)\n", + "Statistical=0.860, p=0.001\n", + "SEN-Taxes on exports (% of tax revenue)\n", + "Statistical=0.851, p=0.000\n", + "SEN-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.788, p=0.000\n", + "SEN-Country\n", + "Statistical=0.908, p=0.010\n", + "SEN-Year\n", + "Statistical=0.856, p=0.001\n", + "SEN-Continent\n", + "Statistical=0.863, p=0.001\n", + "ZAF-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Adjusted net national income (current US$)\n", + "Statistical=0.830, p=0.000\n", + "ZAF-Adjusted net national income per capita (current US$)\n", + "Statistical=0.818, p=0.000\n", + "ZAF-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.833, p=0.000\n", + "ZAF-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.798, p=0.000\n", + "ZAF-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.798, p=0.000\n", + "ZAF-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.923, p=0.026\n", + "ZAF-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.613, p=0.000\n", + "ZAF-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.606, p=0.000\n", + "ZAF-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.624, p=0.000\n", + "ZAF-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.645, p=0.000\n", + "ZAF-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.620, p=0.000\n", + "ZAF-Age dependency ratio (% of working-age population)\n", + "Statistical=0.615, p=0.000\n", + "ZAF-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.651, p=0.000\n", + "ZAF-Agricultural land (% of land area)\n", + "Statistical=0.629, p=0.000\n", + "ZAF-Agricultural land (sq. km)\n", + "Statistical=0.619, p=0.000\n", + "ZAF-Agricultural methane emissions (% of total)\n", + "Statistical=0.913, p=0.014\n", + "ZAF-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.811, p=0.000\n", + "ZAF-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.948, p=0.129\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.953, p=0.179\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.901, p=0.007\n", + "ZAF-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.871, p=0.001\n", + "ZAF-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.964, p=0.351\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Aquaculture production (metric tons)\n", + "Statistical=0.815, p=0.000\n", + "ZAF-Arable land (% of land area)\n", + "Statistical=0.917, p=0.017\n", + "ZAF-Arable land (hectares per person)\n", + "Statistical=0.983, p=0.883\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Arable land (hectares)\n", + "Statistical=0.968, p=0.450\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Armed forces personnel (% of total labor force)\n", + "Statistical=0.974, p=0.625\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.972, p=0.564\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.958, p=0.245\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.908, p=0.010\n", + "ZAF-Average precipitation in depth (mm per year)\n", + "Statistical=0.976, p=0.692\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Average time to clear exports through customs (days)\n", + "Statistical=0.843, p=0.000\n", + "ZAF-Births attended by skilled health staff (% of total)\n", + "Statistical=0.929, p=0.037\n", + "ZAF-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.888, p=0.003\n", + "ZAF-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.908, p=0.010\n", + "ZAF-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-CO2 emissions (kt)\n", + "Statistical=0.953, p=0.170\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-CO2 emissions (metric tons per capita)\n", + "Statistical=0.858, p=0.001\n", + "ZAF-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.978, p=0.737\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=0.960, p=0.278\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=0.966, p=0.392\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.927, p=0.033\n", + "ZAF-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.922, p=0.024\n", + "ZAF-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.894, p=0.004\n", + "ZAF-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.947, p=0.116\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.778, p=0.000\n", + "ZAF-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.960, p=0.276\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Capture fisheries production (metric tons)\n", + "Statistical=0.902, p=0.007\n", + "ZAF-Cereal production (metric tons)\n", + "Statistical=0.796, p=0.000\n", + "ZAF-Cereal yield (kg per hectare)\n", + "Statistical=0.889, p=0.003\n", + "ZAF-Changes in inventories (current US$)\n", + "Statistical=0.820, p=0.000\n", + "ZAF-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.602, p=0.000\n", + "ZAF-Children out of school (% of primary school age)\n", + "Statistical=0.891, p=0.004\n", + "ZAF-Coal rents (% of GDP)\n", + "Statistical=0.891, p=0.004\n", + "ZAF-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.668, p=0.000\n", + "ZAF-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.656, p=0.000\n", + "ZAF-Commercial service exports (current US$)\n", + "Statistical=0.870, p=0.001\n", + "ZAF-Commercial service imports (current US$)\n", + "Statistical=0.915, p=0.015\n", + "ZAF-Completeness of birth registration (%)\n", + "Statistical=0.730, p=0.000\n", + "ZAF-Consumer price index (2010 = 100)\n", + "Statistical=0.971, p=0.536\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.884, p=0.002\n", + "ZAF-Crop production index (2014-2016 = 100)\n", + "Statistical=0.816, p=0.000\n", + "ZAF-Current account balance (% of GDP)\n", + "Statistical=0.910, p=0.011\n", + "ZAF-Current account balance (BoP, current US$)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Current health expenditure (% of GDP)\n", + "Statistical=0.930, p=0.040\n", + "ZAF-Current health expenditure per capita (current US$)\n", + "Statistical=0.930, p=0.040\n", + "ZAF-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.889, p=0.003\n", + "ZAF-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.924, p=0.026\n", + "ZAF-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.931, p=0.041\n", + "ZAF-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.946, p=0.111\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.906, p=0.009\n", + "ZAF-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.915, p=0.015\n", + "ZAF-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.966, p=0.386\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.892, p=0.004\n", + "ZAF-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.859, p=0.001\n", + "ZAF-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.857, p=0.001\n", + "ZAF-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.812, p=0.000\n", + "ZAF-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.812, p=0.000\n", + "ZAF-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.957, p=0.228\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Electric power consumption (kWh per capita)\n", + "Statistical=0.844, p=0.000\n", + "ZAF-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.903, p=0.007\n", + "ZAF-Electricity production from coal sources (% of total)\n", + "Statistical=0.844, p=0.000\n", + "ZAF-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.933, p=0.049\n", + "ZAF-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.895, p=0.005\n", + "ZAF-Electricity production from oil sources (% of total)\n", + "Statistical=0.806, p=0.000\n", + "ZAF-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.767, p=0.000\n", + "ZAF-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.728, p=0.000\n", + "ZAF-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.724, p=0.000\n", + "ZAF-Energy related methane emissions (% of total)\n", + "Statistical=0.630, p=0.000\n", + "ZAF-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.702, p=0.000\n", + "ZAF-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.911, p=0.012\n", + "ZAF-Export unit value index (2000 = 100)\n", + "Statistical=0.832, p=0.000\n", + "ZAF-Export value index (2000 = 100)\n", + "Statistical=0.834, p=0.000\n", + "ZAF-Export volume index (2000 = 100)\n", + "Statistical=0.745, p=0.000\n", + "ZAF-Exports of goods and services (% of GDP)\n", + "Statistical=0.861, p=0.001\n", + "ZAF-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.913, p=0.014\n", + "ZAF-Exports of goods and services (current US$)\n", + "Statistical=0.886, p=0.003\n", + "ZAF-External balance on goods and services (% of GDP)\n", + "Statistical=0.952, p=0.169\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-External balance on goods and services (current US$)\n", + "Statistical=0.834, p=0.000\n", + "ZAF-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.954, p=0.186\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Final consumption expenditure (% of GDP)\n", + "Statistical=0.958, p=0.247\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Final consumption expenditure (current US$)\n", + "Statistical=0.920, p=0.021\n", + "ZAF-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.852, p=0.000\n", + "ZAF-Firms offering formal training (% of firms)\n", + "Statistical=0.919, p=0.020\n", + "ZAF-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.926, p=0.031\n", + "ZAF-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.848, p=0.000\n", + "ZAF-Fixed broadband subscriptions\n", + "Statistical=0.944, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Fixed telephone subscriptions\n", + "Statistical=0.909, p=0.011\n", + "ZAF-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.844, p=0.000\n", + "ZAF-Food exports (% of merchandise exports)\n", + "Statistical=0.926, p=0.031\n", + "ZAF-Food imports (% of merchandise imports)\n", + "Statistical=0.885, p=0.003\n", + "ZAF-Food production index (2014-2016 = 100)\n", + "Statistical=0.880, p=0.002\n", + "ZAF-Forest area (% of land area)\n", + "Statistical=0.981, p=0.833\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Forest area (sq. km)\n", + "Statistical=0.861, p=0.001\n", + "ZAF-Forest rents (% of GDP)\n", + "Statistical=0.950, p=0.141\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.685, p=0.000\n", + "ZAF-Fuel exports (% of merchandise exports)\n", + "Statistical=0.903, p=0.007\n", + "ZAF-Fuel imports (% of merchandise imports)\n", + "Statistical=0.707, p=0.000\n", + "ZAF-GDP (current US$)\n", + "Statistical=0.965, p=0.365\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-GDP deflator (base year varies by country)\n", + "Statistical=0.958, p=0.237\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.958, p=0.244\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-GDP growth (annual %)\n", + "Statistical=0.979, p=0.759\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-GDP per capita (current US$)\n", + "Statistical=0.866, p=0.001\n", + "ZAF-GDP per capita growth (annual %)\n", + "Statistical=0.908, p=0.010\n", + "ZAF-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.715, p=0.000\n", + "ZAF-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.890, p=0.003\n", + "ZAF-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.845, p=0.000\n", + "ZAF-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.954, p=0.186\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-GNI (current US$)\n", + "Statistical=0.851, p=0.000\n", + "ZAF-GNI growth (annual %)\n", + "Statistical=0.840, p=0.000\n", + "ZAF-GNI per capita growth (annual %)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.968, p=0.438\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-General government final consumption expenditure (current US$)\n", + "Statistical=0.977, p=0.694\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Gini index\n", + "Statistical=0.949, p=0.139\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Goods exports (BoP, current US$)\n", + "Statistical=0.959, p=0.261\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Goods imports (BoP, current US$)\n", + "Statistical=0.970, p=0.489\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Grants and other revenue (% of revenue)\n", + "Statistical=0.768, p=0.000\n", + "ZAF-Gross capital formation (% of GDP)\n", + "Statistical=0.866, p=0.001\n", + "ZAF-Gross capital formation (current US$)\n", + "Statistical=0.878, p=0.002\n", + "ZAF-Gross domestic savings (% of GDP)\n", + "Statistical=0.894, p=0.004\n", + "ZAF-Gross domestic savings (current US$)\n", + "Statistical=0.877, p=0.002\n", + "ZAF-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.752, p=0.000\n", + "ZAF-Gross fixed capital formation (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Gross national expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.919, p=0.019\n", + "ZAF-Gross savings (% of GDP)\n", + "Statistical=0.887, p=0.003\n", + "ZAF-Gross savings (current US$)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.814, p=0.000\n", + "ZAF-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-High-technology exports (% of manufactured exports)\n", + "Statistical=0.879, p=0.002\n", + "ZAF-High-technology exports (current US$)\n", + "Statistical=0.850, p=0.000\n", + "ZAF-Hospital beds (per 1,000 people)\n", + "Statistical=0.756, p=0.000\n", + "ZAF-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.818, p=0.000\n", + "ZAF-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.714, p=0.000\n", + "ZAF-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.714, p=0.000\n", + "ZAF-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.714, p=0.000\n", + "ZAF-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=0.391, p=0.000\n", + "ZAF-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.985, p=0.931\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.953, p=0.179\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.952, p=0.169\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.823, p=0.000\n", + "ZAF-ICT goods exports (% of total goods exports)\n", + "Statistical=0.853, p=0.000\n", + "ZAF-ICT goods imports (% total goods imports)\n", + "Statistical=0.845, p=0.000\n", + "ZAF-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.932, p=0.046\n", + "ZAF-ICT service exports (BoP, current US$)\n", + "Statistical=0.883, p=0.002\n", + "ZAF-Import unit value index (2000 = 100)\n", + "Statistical=0.806, p=0.000\n", + "ZAF-Import value index (2000 = 100)\n", + "Statistical=0.919, p=0.020\n", + "ZAF-Import volume index (2000 = 100)\n", + "Statistical=0.863, p=0.001\n", + "ZAF-Imports of goods and services (% of GDP)\n", + "Statistical=0.932, p=0.045\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ZAF-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.916, p=0.016\n", + "ZAF-Imports of goods and services (current US$)\n", + "Statistical=0.930, p=0.040\n", + "ZAF-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "ZAF-Income share held by highest 10%\n", + "Statistical=0.499, p=0.000\n", + "ZAF-Income share held by highest 20%\n", + "Statistical=0.873, p=0.001\n", + "ZAF-Income share held by lowest 10%\n", + "Statistical=0.972, p=0.562\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Income share held by lowest 20%\n", + "Statistical=0.963, p=0.331\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Income share held by second 20%\n", + "Statistical=0.838, p=0.000\n", + "ZAF-Income share held by third 20%\n", + "Statistical=0.839, p=0.000\n", + "ZAF-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.869, p=0.001\n", + "ZAF-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.834, p=0.000\n", + "ZAF-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.822, p=0.000\n", + "ZAF-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.747, p=0.000\n", + "ZAF-Individuals using the Internet (% of population)\n", + "Statistical=0.862, p=0.001\n", + "ZAF-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.865, p=0.001\n", + "ZAF-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.605, p=0.000\n", + "ZAF-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.844, p=0.000\n", + "ZAF-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.832, p=0.000\n", + "ZAF-Intentional homicides (per 100,000 people)\n", + "Statistical=0.857, p=0.001\n", + "ZAF-Interest payments (% of revenue)\n", + "Statistical=0.862, p=0.001\n", + "ZAF-International migrant stock (% of population)\n", + "Statistical=0.864, p=0.001\n", + "ZAF-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.842, p=0.000\n", + "ZAF-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.791, p=0.000\n", + "ZAF-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.823, p=0.000\n", + "ZAF-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.790, p=0.000\n", + "ZAF-Land area (sq. km)\n", + "Statistical=0.828, p=0.000\n", + "ZAF-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.824, p=0.000\n", + "ZAF-Land under cereal production (hectares)\n", + "Statistical=0.822, p=0.000\n", + "ZAF-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.933, p=0.049\n", + "ZAF-Lifetime risk of maternal death (%)\n", + "Statistical=0.902, p=0.007\n", + "ZAF-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.933, p=0.046\n", + "ZAF-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.887, p=0.003\n", + "ZAF-Livestock production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=0.926, p=0.030\n", + "ZAF-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.779, p=0.000\n", + "ZAF-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.915, p=0.015\n", + "ZAF-Low-birthweight babies (% of births)\n", + "Statistical=0.899, p=0.006\n", + "ZAF-Lower secondary school starting age (years)\n", + "Statistical=0.832, p=0.000\n", + "ZAF-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.821, p=0.000\n", + "ZAF-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.844, p=0.000\n", + "ZAF-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.910, p=0.011\n", + "ZAF-Marine protected areas (% of territorial waters)\n", + "Statistical=0.905, p=0.008\n", + "ZAF-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.807, p=0.000\n", + "ZAF-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.871, p=0.001\n", + "ZAF-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.840, p=0.000\n", + "ZAF-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.882, p=0.002\n", + "ZAF-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.888, p=0.003\n", + "ZAF-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Merchandise exports (current US$)\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.934, p=0.050\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.958, p=0.242\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.950, p=0.140\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.930, p=0.039\n", + "ZAF-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.890, p=0.003\n", + "ZAF-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.930, p=0.039\n", + "ZAF-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.886, p=0.003\n", + "ZAF-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.931, p=0.043\n", + "ZAF-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.903, p=0.007\n", + "ZAF-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.889, p=0.003\n", + "ZAF-Merchandise imports (current US$)\n", + "Statistical=0.845, p=0.000\n", + "ZAF-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.730, p=0.000\n", + "ZAF-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.957, p=0.224\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.905, p=0.008\n", + "ZAF-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.909, p=0.010\n", + "ZAF-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.854, p=0.001\n", + "ZAF-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.923, p=0.025\n", + "ZAF-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.903, p=0.007\n", + "ZAF-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.860, p=0.001\n", + "ZAF-Merchandise trade (% of GDP)\n", + "Statistical=0.969, p=0.460\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Methane emissions (% change from 1990)\n", + "Statistical=0.923, p=0.025\n", + "ZAF-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.923, p=0.025\n", + "ZAF-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.879, p=0.002\n", + "ZAF-Military expenditure (% of GDP)\n", + "Statistical=0.861, p=0.001\n", + "ZAF-Military expenditure (% of general government expenditure)\n", + "Statistical=0.854, p=0.001\n", + "ZAF-Military expenditure (current USD)\n", + "Statistical=0.950, p=0.142\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Mineral rents (% of GDP)\n", + "Statistical=0.527, p=0.000\n", + "ZAF-Mobile cellular subscriptions\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.874, p=0.001\n", + "ZAF-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.750, p=0.000\n", + "ZAF-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.755, p=0.000\n", + "ZAF-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.766, p=0.000\n", + "ZAF-Natural gas rents (% of GDP)\n", + "Statistical=0.834, p=0.000\n", + "ZAF-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.853, p=0.000\n", + "ZAF-Net capital account (BoP, current US$)\n", + "Statistical=0.933, p=0.049\n", + "ZAF-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.895, p=0.005\n", + "ZAF-Net financial account (BoP, current US$)\n", + "Statistical=0.982, p=0.866\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Net migration\n", + "Statistical=0.882, p=0.002\n", + "ZAF-Net primary income (BoP, current US$)\n", + "Statistical=0.882, p=0.002\n", + "ZAF-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.888, p=0.003\n", + "ZAF-Net secondary income (BoP, current US$)\n", + "Statistical=0.889, p=0.003\n", + "ZAF-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.728, p=0.000\n", + "ZAF-Net trade in goods (BoP, current US$)\n", + "Statistical=0.728, p=0.000\n", + "ZAF-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.728, p=0.000\n", + "ZAF-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.728, p=0.000\n", + "ZAF-New businesses registered (number)\n", + "Statistical=0.728, p=0.000\n", + "ZAF-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.801, p=0.000\n", + "ZAF-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.810, p=0.000\n", + "ZAF-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.839, p=0.000\n", + "ZAF-Number of deaths ages 10-14 years\n", + "Statistical=0.991, p=0.995\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Number of deaths ages 15-19 years\n", + "Statistical=0.956, p=0.211\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Number of deaths ages 20-24 years\n", + "Statistical=0.925, p=0.029\n", + "ZAF-Number of deaths ages 5-9 years\n", + "Statistical=0.920, p=0.021\n", + "ZAF-Number of infant deaths\n", + "Statistical=0.842, p=0.000\n", + "ZAF-Number of maternal deaths\n", + "Statistical=0.968, p=0.458\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Number of neonatal deaths\n", + "Statistical=0.918, p=0.018\n", + "ZAF-Number of under-five deaths\n", + "Statistical=0.902, p=0.007\n", + "ZAF-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.966, p=0.386\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.974, p=0.627\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Oil rents (% of GDP)\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.949, p=0.132\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.924, p=0.026\n", + "ZAF-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.934, p=0.050\n", + "ZAF-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.920, p=0.021\n", + "ZAF-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.888, p=0.003\n", + "ZAF-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.888, p=0.003\n", + "ZAF-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.892, p=0.004\n", + "ZAF-People using at least basic drinking water services (% of population)\n", + "Statistical=0.886, p=0.003\n", + "ZAF-People using at least basic sanitation services (% of population)\n", + "Statistical=0.932, p=0.044\n", + "ZAF-People using safely managed sanitation services (% of population)\n", + "Statistical=0.928, p=0.035\n", + "ZAF-Permanent cropland (% of land area)\n", + "Statistical=0.977, p=0.706\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Physicians (per 1,000 people)\n", + "Statistical=0.855, p=0.001\n", + "ZAF-Population ages 0-14 (% of total population)\n", + "Statistical=0.855, p=0.001\n", + "ZAF-Population ages 15-64 (% of total population)\n", + "Statistical=0.903, p=0.007\n", + "ZAF-Population ages 65 and above (% of total population)\n", + "Statistical=0.925, p=0.028\n", + "ZAF-Population density (people per sq. km of land area)\n", + "Statistical=0.977, p=0.694\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Population growth (annual %)\n", + "Statistical=0.855, p=0.001\n", + "ZAF-Population in largest city\n", + "Statistical=0.853, p=0.000\n", + "ZAF-Population in the largest city (% of urban population)\n", + "Statistical=0.883, p=0.002\n", + "ZAF-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.866, p=0.001\n", + "ZAF-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.903, p=0.007\n", + "ZAF-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.888, p=0.003\n", + "ZAF-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.896, p=0.005\n", + "ZAF-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.890, p=0.003\n", + "ZAF-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.886, p=0.003\n", + "ZAF-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.886, p=0.003\n", + "ZAF-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.892, p=0.004\n", + "ZAF-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.888, p=0.003\n", + "ZAF-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.981, p=0.820\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.850, p=0.000\n", + "ZAF-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.850, p=0.000\n", + "ZAF-Prevalence of undernourishment (% of population)\n", + "Statistical=0.904, p=0.008\n", + "ZAF-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.983, p=0.890\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Primary income payments (BoP, current US$)\n", + "Statistical=0.898, p=0.005\n", + "ZAF-Primary income receipts (BoP, current US$)\n", + "Statistical=0.850, p=0.000\n", + "ZAF-Primary school starting age (years)\n", + "Statistical=0.851, p=0.000\n", + "ZAF-Private credit bureau coverage (% of adults)\n", + "Statistical=0.872, p=0.001\n", + "ZAF-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.886, p=0.003\n", + "ZAF-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.898, p=0.005\n", + "ZAF-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.890, p=0.004\n", + "ZAF-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.959, p=0.262\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Procedures to build a warehouse (number)\n", + "Statistical=0.987, p=0.957\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Procedures to register property (number)\n", + "Statistical=0.856, p=0.001\n", + "ZAF-Profit tax (% of commercial profits)\n", + "Statistical=0.856, p=0.001\n", + "ZAF-Progression to secondary school (%)\n", + "Statistical=0.873, p=0.001\n", + "ZAF-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.866, p=0.001\n", + "ZAF-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.829, p=0.000\n", + "ZAF-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.855, p=0.001\n", + "ZAF-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.875, p=0.002\n", + "ZAF-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.840, p=0.000\n", + "ZAF-Public credit registry coverage (% of adults)\n", + "Statistical=0.848, p=0.000\n", + "ZAF-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.885, p=0.003\n", + "ZAF-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.528, p=0.000\n", + "ZAF-Rail lines (total route-km)\n", + "Statistical=0.929, p=0.036\n", + "ZAF-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.795, p=0.000\n", + "ZAF-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.860, p=0.001\n", + "ZAF-Refugee population by country or territory of asylum\n", + "Statistical=0.970, p=0.513\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Refugee population by country or territory of origin\n", + "Statistical=0.975, p=0.645\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.880, p=0.002\n", + "ZAF-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.880, p=0.002\n", + "ZAF-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.880, p=0.002\n", + "ZAF-Research and development expenditure (% of GDP)\n", + "Statistical=0.892, p=0.004\n", + "ZAF-Researchers in R&D (per million people)\n", + "Statistical=0.873, p=0.001\n", + "ZAF-Reserves and related items (BoP, current US$)\n", + "Statistical=0.895, p=0.005\n", + "ZAF-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.899, p=0.006\n", + "ZAF-Rural land area (sq. km)\n", + "Statistical=0.871, p=0.001\n", + "ZAF-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.954, p=0.187\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.960, p=0.268\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Rural population\n", + "Statistical=0.860, p=0.001\n", + "ZAF-Rural population (% of total population)\n", + "Statistical=0.860, p=0.001\n", + "ZAF-Rural population growth (annual %)\n", + "Statistical=0.860, p=0.001\n", + "ZAF-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.881, p=0.002\n", + "ZAF-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.902, p=0.007\n", + "ZAF-Scientific and technical journal articles\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.917, p=0.017\n", + "ZAF-Secure Internet servers\n", + "Statistical=0.964, p=0.346\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Secure Internet servers (per 1 million people)\n", + "Statistical=0.876, p=0.002\n", + "ZAF-Service exports (BoP, current US$)\n", + "Statistical=0.876, p=0.002\n", + "ZAF-Service imports (BoP, current US$)\n", + "Statistical=0.888, p=0.003\n", + "ZAF-Sex ratio at birth (male births per female births)\n", + "Statistical=0.887, p=0.003\n", + "ZAF-Social contributions (% of revenue)\n", + "Statistical=0.931, p=0.041\n", + "ZAF-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.951, p=0.150\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Start-up procedures to register a business (number)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.911, p=0.012\n", + "ZAF-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.881, p=0.002\n", + "ZAF-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.886, p=0.003\n", + "ZAF-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.886, p=0.003\n", + "ZAF-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.893, p=0.004\n", + "ZAF-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.891, p=0.004\n", + "ZAF-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.834, p=0.000\n", + "ZAF-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.839, p=0.000\n", + "ZAF-Surface area (sq. km)\n", + "Statistical=0.752, p=0.000\n", + "ZAF-Tax payments (number)\n", + "Statistical=0.720, p=0.000\n", + "ZAF-Tax revenue (% of GDP)\n", + "Statistical=0.965, p=0.381\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Taxes less subsidies on products (current US$)\n", + "Statistical=0.891, p=0.004\n", + "ZAF-Taxes on goods and services (% of revenue)\n", + "Statistical=0.891, p=0.004\n", + "ZAF-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.894, p=0.004\n", + "ZAF-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.895, p=0.005\n", + "ZAF-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.847, p=0.000\n", + "ZAF-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.956, p=0.208\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Time required to build a warehouse (days)\n", + "Statistical=0.891, p=0.004\n", + "ZAF-Time required to enforce a contract (days)\n", + "Statistical=0.889, p=0.003\n", + "ZAF-Time required to get electricity (days)\n", + "Statistical=0.971, p=0.541\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Time required to register property (days)\n", + "Statistical=0.892, p=0.004\n", + "ZAF-Time required to start a business (days)\n", + "Statistical=0.626, p=0.000\n", + "ZAF-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.645, p=0.000\n", + "ZAF-Time to obtain an electrical connection (days)\n", + "Statistical=0.644, p=0.000\n", + "ZAF-Time to prepare and pay taxes (hours)\n", + "Statistical=0.642, p=0.000\n", + "ZAF-Time to resolve insolvency (years)\n", + "Statistical=0.639, p=0.000\n", + "ZAF-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.661, p=0.000\n", + "ZAF-Total fisheries production (metric tons)\n", + "Statistical=0.661, p=0.000\n", + "ZAF-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.661, p=0.000\n", + "ZAF-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.623, p=0.000\n", + "ZAF-Total natural resources rents (% of GDP)\n", + "Statistical=0.879, p=0.002\n", + "ZAF-Total reserves (includes gold, current US$)\n", + "Statistical=0.824, p=0.000\n", + "ZAF-Total reserves in months of imports\n", + "Statistical=0.920, p=0.020\n", + "ZAF-Total reserves minus gold (current US$)\n", + "Statistical=0.880, p=0.002\n", + "ZAF-Total tax and contribution rate (% of profit)\n", + "Statistical=0.894, p=0.004\n", + "ZAF-Trade (% of GDP)\n", + "Statistical=0.829, p=0.000\n", + "ZAF-Trade in services (% of GDP)\n", + "Statistical=0.923, p=0.026\n", + "ZAF-Transport services (% of commercial service exports)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Transport services (% of commercial service imports)\n", + "Statistical=0.876, p=0.002\n", + "ZAF-Transport services (% of service exports, BoP)\n", + "Statistical=0.896, p=0.005\n", + "ZAF-Transport services (% of service imports, BoP)\n", + "Statistical=0.982, p=0.858\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Travel services (% of commercial service exports)\n", + "Statistical=0.873, p=0.001\n", + "ZAF-Travel services (% of commercial service imports)\n", + "Statistical=0.976, p=0.681\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Travel services (% of service exports, BoP)\n", + "Statistical=0.896, p=0.005\n", + "ZAF-Travel services (% of service imports, BoP)\n", + "Statistical=0.896, p=0.005\n", + "ZAF-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.874, p=0.001\n", + "ZAF-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.874, p=0.001\n", + "ZAF-UHC service coverage index\n", + "Statistical=0.865, p=0.001\n", + "ZAF-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.880, p=0.002\n", + "ZAF-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.917, p=0.017\n", + "ZAF-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.893, p=0.004\n", + "ZAF-Urban land area (sq. km)\n", + "Statistical=0.867, p=0.001\n", + "ZAF-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.759, p=0.000\n", + "ZAF-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.859, p=0.001\n", + "ZAF-Urban population\n", + "Statistical=0.827, p=0.000\n", + "ZAF-Urban population (% of total population)\n", + "Statistical=0.864, p=0.001\n", + "ZAF-Urban population growth (annual %)\n", + "Statistical=0.900, p=0.006\n", + "ZAF-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.900, p=0.006\n", + "ZAF-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.875, p=0.001\n", + "ZAF-GDP (current US$)+1\n", + "Statistical=0.875, p=0.001\n", + "ZAF-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-GDP (current US$)+2\n", + "Statistical=0.949, p=0.137\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-GDP (current US$)+3\n", + "Statistical=0.912, p=0.012\n", + "ZAF-GDP (current US$)+5\n", + "Statistical=0.890, p=0.003\n", + "ZAF-GDP (current US$)+8\n", + "Statistical=0.954, p=0.191\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-GDP (current US$)+13\n", + "Statistical=0.871, p=0.001\n", + "ZAF-GDP (current US$)+21\n", + "Statistical=0.871, p=0.001\n", + "ZAF-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.898, p=0.006\n", + "ZAF-Deposit interest rate (%)\n", + "Statistical=0.911, p=0.012\n", + "ZAF-Other taxes (% of revenue)\n", + "Statistical=0.977, p=0.722\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.946, p=0.111\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Taxes on international trade (% of revenue)\n", + "Statistical=0.877, p=0.002\n", + "ZAF-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.932, p=0.044\n", + "ZAF-Broad money (% of GDP)\n", + "Statistical=0.969, p=0.470\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Broad money growth (annual %)\n", + "Statistical=0.941, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Broad money to total reserves ratio\n", + "Statistical=0.973, p=0.577\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.842, p=0.000\n", + "ZAF-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.892, p=0.004\n", + "ZAF-External health expenditure (% of current health expenditure)\n", + "Statistical=0.843, p=0.000\n", + "ZAF-External health expenditure per capita (current US$)\n", + "Statistical=0.604, p=0.000\n", + "ZAF-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.812, p=0.000\n", + "ZAF-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.761, p=0.000\n", + "ZAF-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.878, p=0.002\n", + "ZAF-People practicing open defecation (% of population)\n", + "Statistical=0.795, p=0.000\n", + "ZAF-Taxes on exports (% of tax revenue)\n", + "Statistical=0.933, p=0.048\n", + "ZAF-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.852, p=0.000\n", + "ZAF-Country\n", + "Statistical=0.954, p=0.182\n", + "Data is NORMAL ( H0 not denied )\n", + "ZAF-Year\n", + "Statistical=0.802, p=0.000\n", + "ZAF-Continent\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Adjusted net national income (current US$)\n", + "Statistical=0.751, p=0.000\n", + "LBR-Adjusted net national income per capita (current US$)\n", + "Statistical=0.779, p=0.000\n", + "LBR-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.766, p=0.000\n", + "LBR-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.673, p=0.000\n", + "LBR-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.629, p=0.000\n", + "LBR-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.673, p=0.000\n", + "LBR-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.615, p=0.000\n", + "LBR-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.615, p=0.000\n", + "LBR-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.615, p=0.000\n", + "LBR-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.615, p=0.000\n", + "LBR-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Age dependency ratio (% of working-age population)\n", + "Statistical=0.615, p=0.000\n", + "LBR-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Agricultural land (% of land area)\n", + "Statistical=0.615, p=0.000\n", + "LBR-Agricultural land (sq. km)\n", + "Statistical=0.615, p=0.000\n", + "LBR-Agricultural methane emissions (% of total)\n", + "Statistical=0.887, p=0.003\n", + "LBR-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.750, p=0.000\n", + "LBR-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.664, p=0.000\n", + "LBR-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.796, p=0.000\n", + "LBR-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Aquaculture production (metric tons)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Arable land (% of land area)\n", + "Statistical=0.870, p=0.001\n", + "LBR-Arable land (hectares per person)\n", + "Statistical=0.778, p=0.000\n", + "LBR-Arable land (hectares)\n", + "Statistical=0.800, p=0.000\n", + "LBR-Armed forces personnel (% of total labor force)\n", + "Statistical=0.789, p=0.000\n", + "LBR-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.799, p=0.000\n", + "LBR-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.829, p=0.000\n", + "LBR-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.790, p=0.000\n", + "LBR-Average precipitation in depth (mm per year)\n", + "Statistical=0.834, p=0.000\n", + "LBR-Average time to clear exports through customs (days)\n", + "Statistical=0.750, p=0.000\n", + "LBR-Births attended by skilled health staff (% of total)\n", + "Statistical=0.812, p=0.000\n", + "LBR-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.768, p=0.000\n", + "LBR-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.803, p=0.000\n", + "LBR-CO2 emissions (kt)\n", + "Statistical=0.624, p=0.000\n", + "LBR-CO2 emissions (metric tons per capita)\n", + "Statistical=0.730, p=0.000\n", + "LBR-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.774, p=0.000\n", + "LBR-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.801, p=0.000\n", + "LBR-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.808, p=0.000\n", + "LBR-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.752, p=0.000\n", + "LBR-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.897, p=0.005\n", + "LBR-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.909, p=0.010\n", + "LBR-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Capture fisheries production (metric tons)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Cereal production (metric tons)\n", + "Statistical=0.888, p=0.003\n", + "LBR-Cereal yield (kg per hectare)\n", + "Statistical=0.839, p=0.000\n", + "LBR-Changes in inventories (current US$)\n", + "Statistical=0.897, p=0.005\n", + "LBR-Chemicals (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Children out of school (% of primary school age)\n", + "Statistical=0.933, p=0.049\n", + "LBR-Coal rents (% of GDP)\n", + "Statistical=0.933, p=0.049\n", + "LBR-Combustible renewables and waste (% of total energy)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Commercial bank branches (per 100,000 adults)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Commercial service exports (current US$)\n", + "Statistical=0.842, p=0.000\n", + "LBR-Commercial service imports (current US$)\n", + "Statistical=0.881, p=0.002\n", + "LBR-Completeness of birth registration (%)\n", + "Statistical=0.862, p=0.001\n", + "LBR-Consumer price index (2010 = 100)\n", + "Statistical=0.852, p=0.000\n", + "LBR-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Crop production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Current account balance (% of GDP)\n", + "Statistical=0.798, p=0.000\n", + "LBR-Current account balance (BoP, current US$)\n", + "Statistical=0.883, p=0.002\n", + "LBR-Current health expenditure (% of GDP)\n", + "Statistical=0.859, p=0.001\n", + "LBR-Current health expenditure per capita (current US$)\n", + "Statistical=0.859, p=0.001\n", + "LBR-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.820, p=0.000\n", + "LBR-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.820, p=0.000\n", + "LBR-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.904, p=0.008\n", + "LBR-Domestic credit to private sector (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.172, p=0.000\n", + "LBR-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.172, p=0.000\n", + "LBR-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.666, p=0.000\n", + "LBR-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.668, p=0.000\n", + "LBR-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.663, p=0.000\n", + "LBR-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.754, p=0.000\n", + "LBR-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.754, p=0.000\n", + "LBR-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Electric power consumption (kWh per capita)\n", + "Statistical=0.810, p=0.000\n", + "LBR-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.891, p=0.004\n", + "LBR-Electricity production from coal sources (% of total)\n", + "Statistical=0.810, p=0.000\n", + "LBR-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.784, p=0.000\n", + "LBR-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.755, p=0.000\n", + "LBR-Electricity production from nuclear sources (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Electricity production from oil sources (% of total)\n", + "Statistical=0.933, p=0.048\n", + "LBR-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.622, p=0.000\n", + "LBR-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.334, p=0.000\n", + "LBR-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.334, p=0.000\n", + "LBR-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.903, p=0.007\n", + "LBR-Export unit value index (2000 = 100)\n", + "Statistical=0.757, p=0.000\n", + "LBR-Export value index (2000 = 100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Export volume index (2000 = 100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Exports of goods and services (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.804, p=0.000\n", + "LBR-Exports of goods and services (current US$)\n", + "Statistical=0.787, p=0.000\n", + "LBR-External balance on goods and services (% of GDP)\n", + "Statistical=0.950, p=0.140\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-External balance on goods and services (current US$)\n", + "Statistical=0.806, p=0.000\n", + "LBR-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.837, p=0.000\n", + "LBR-Final consumption expenditure (% of GDP)\n", + "Statistical=0.837, p=0.000\n", + "LBR-Final consumption expenditure (current US$)\n", + "Statistical=0.826, p=0.000\n", + "LBR-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.806, p=0.000\n", + "LBR-Firms offering formal training (% of firms)\n", + "Statistical=0.825, p=0.000\n", + "LBR-Firms using banks to finance investment (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Firms using banks to finance working capital (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Firms with female participation in ownership (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Fixed broadband subscriptions\n", + "Statistical=0.902, p=0.007\n", + "LBR-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.825, p=0.000\n", + "LBR-Fixed telephone subscriptions\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Food exports (% of merchandise exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Food imports (% of merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Food production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Forest area (% of land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Forest area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Forest rents (% of GDP)\n", + "Statistical=0.913, p=0.014\n", + "LBR-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.864, p=0.001\n", + "LBR-Fuel exports (% of merchandise exports)\n", + "Statistical=0.856, p=0.001\n", + "LBR-Fuel imports (% of merchandise imports)\n", + "Statistical=0.862, p=0.001\n", + "LBR-GDP (current US$)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-GDP deflator (base year varies by country)\n", + "Statistical=0.962, p=0.304\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-GDP deflator: linked series (base year varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-GDP growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-GDP per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.766, p=0.000\n", + "LBR-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.715, p=0.000\n", + "LBR-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.825, p=0.000\n", + "LBR-GNI (current US$)\n", + "Statistical=0.960, p=0.280\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-GNI growth (annual %)\n", + "Statistical=0.930, p=0.039\n", + "LBR-GNI per capita growth (annual %)\n", + "Statistical=0.950, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.833, p=0.000\n", + "LBR-General government final consumption expenditure (current US$)\n", + "Statistical=0.709, p=0.000\n", + "LBR-Gini index\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Goods imports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Grants and other revenue (% of revenue)\n", + "Statistical=0.562, p=0.000\n", + "LBR-Gross capital formation (% of GDP)\n", + "Statistical=0.823, p=0.000\n", + "LBR-Gross capital formation (current US$)\n", + "Statistical=0.784, p=0.000\n", + "LBR-Gross domestic savings (% of GDP)\n", + "Statistical=0.768, p=0.000\n", + "LBR-Gross domestic savings (current US$)\n", + "Statistical=0.692, p=0.000\n", + "LBR-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.707, p=0.000\n", + "LBR-Gross fixed capital formation (current US$)\n", + "Statistical=0.707, p=0.000\n", + "LBR-Gross national expenditure (% of GDP)\n", + "Statistical=0.708, p=0.000\n", + "LBR-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.681, p=0.000\n", + "LBR-Gross savings (% of GDP)\n", + "Statistical=0.784, p=0.000\n", + "LBR-Gross savings (current US$)\n", + "Statistical=0.792, p=0.000\n", + "LBR-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.668, p=0.000\n", + "LBR-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.772, p=0.000\n", + "LBR-High-technology exports (% of manufactured exports)\n", + "Statistical=0.732, p=0.000\n", + "LBR-High-technology exports (current US$)\n", + "Statistical=0.930, p=0.039\n", + "LBR-Hospital beds (per 1,000 people)\n", + "Statistical=0.861, p=0.001\n", + "LBR-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.906, p=0.009\n", + "LBR-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.672, p=0.000\n", + "LBR-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.672, p=0.000\n", + "LBR-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.672, p=0.000\n", + "LBR-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=0.478, p=0.000\n", + "LBR-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=0.478, p=0.000\n", + "LBR-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.851, p=0.000\n", + "LBR-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.770, p=0.000\n", + "LBR-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.789, p=0.000\n", + "LBR-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-ICT goods exports (% of total goods exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-ICT goods imports (% total goods imports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.807, p=0.000\n", + "LBR-ICT service exports (BoP, current US$)\n", + "Statistical=0.852, p=0.000\n", + "LBR-Import unit value index (2000 = 100)\n", + "Statistical=0.868, p=0.001\n", + "LBR-Import value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Import volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Imports of goods and services (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.908, p=0.010\n", + "LBR-Imports of goods and services (current US$)\n", + "Statistical=0.931, p=0.043\n", + "LBR-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "LBR-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Income share held by lowest 10%\n", + "Statistical=0.798, p=0.000\n", + "LBR-Income share held by lowest 20%\n", + "Statistical=0.798, p=0.000\n", + "LBR-Income share held by second 20%\n", + "Statistical=0.862, p=0.001\n", + "LBR-Income share held by third 20%\n", + "Statistical=0.874, p=0.001\n", + "LBR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.913, p=0.013\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LBR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.797, p=0.000\n", + "LBR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.815, p=0.000\n", + "LBR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.866, p=0.001\n", + "LBR-Individuals using the Internet (% of population)\n", + "Statistical=0.871, p=0.001\n", + "LBR-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.890, p=0.004\n", + "LBR-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.448, p=0.000\n", + "LBR-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Intentional homicides (per 100,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Interest payments (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-International migrant stock (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Labor tax and contributions (% of commercial profits)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Land area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Land under cereal production (hectares)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Lifetime risk of maternal death (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Livestock production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.851, p=0.000\n", + "LBR-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.956, p=0.209\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Low-birthweight babies (% of births)\n", + "Statistical=0.920, p=0.021\n", + "LBR-Lower secondary school starting age (years)\n", + "Statistical=0.918, p=0.019\n", + "LBR-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.920, p=0.020\n", + "LBR-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.929, p=0.036\n", + "LBR-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.883, p=0.002\n", + "LBR-Marine protected areas (% of territorial waters)\n", + "Statistical=0.927, p=0.033\n", + "LBR-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.912, p=0.013\n", + "LBR-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.919, p=0.020\n", + "LBR-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.908, p=0.010\n", + "LBR-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.795, p=0.000\n", + "LBR-Merchandise exports (current US$)\n", + "Statistical=0.918, p=0.018\n", + "LBR-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.819, p=0.000\n", + "LBR-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.852, p=0.000\n", + "LBR-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.817, p=0.000\n", + "LBR-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.775, p=0.000\n", + "LBR-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.883, p=0.002\n", + "LBR-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.774, p=0.000\n", + "LBR-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.850, p=0.000\n", + "LBR-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.775, p=0.000\n", + "LBR-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Merchandise imports (current US$)\n", + "Statistical=0.846, p=0.000\n", + "LBR-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.749, p=0.000\n", + "LBR-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.823, p=0.000\n", + "LBR-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.951, p=0.159\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.849, p=0.000\n", + "LBR-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.773, p=0.000\n", + "LBR-Merchandise trade (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Methane emissions (% change from 1990)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Military expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Military expenditure (% of general government expenditure)\n", + "Statistical=0.793, p=0.000\n", + "LBR-Military expenditure (current USD)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Mineral rents (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Mobile cellular subscriptions\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.876, p=0.002\n", + "LBR-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.820, p=0.000\n", + "LBR-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.815, p=0.000\n", + "LBR-Natural gas rents (% of GDP)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Net barter terms of trade index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Net capital account (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Net errors and omissions (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Net financial account (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Net migration\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Net primary income (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Net secondary income (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.667, p=0.000\n", + "LBR-Net trade in goods (BoP, current US$)\n", + "Statistical=0.667, p=0.000\n", + "LBR-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.667, p=0.000\n", + "LBR-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.667, p=0.000\n", + "LBR-New businesses registered (number)\n", + "Statistical=0.667, p=0.000\n", + "LBR-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.633, p=0.000\n", + "LBR-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.633, p=0.000\n", + "LBR-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.966, p=0.397\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Number of deaths ages 10-14 years\n", + "Statistical=0.962, p=0.303\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Number of deaths ages 15-19 years\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Number of deaths ages 20-24 years\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Number of deaths ages 5-9 years\n", + "Statistical=0.931, p=0.042\n", + "LBR-Number of infant deaths\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Number of maternal deaths\n", + "Statistical=0.534, p=0.000\n", + "LBR-Number of neonatal deaths\n", + "Statistical=0.854, p=0.001\n", + "LBR-Number of under-five deaths\n", + "Statistical=0.974, p=0.624\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.874, p=0.001\n", + "LBR-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.961, p=0.298\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Oil rents (% of GDP)\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.904, p=0.008\n", + "LBR-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.861, p=0.001\n", + "LBR-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.861, p=0.001\n", + "LBR-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.754, p=0.000\n", + "LBR-People using at least basic drinking water services (% of population)\n", + "Statistical=0.754, p=0.000\n", + "LBR-People using at least basic sanitation services (% of population)\n", + "Statistical=0.793, p=0.000\n", + "LBR-People using safely managed sanitation services (% of population)\n", + "Statistical=0.793, p=0.000\n", + "LBR-Permanent cropland (% of land area)\n", + "Statistical=0.919, p=0.020\n", + "LBR-Physicians (per 1,000 people)\n", + "Statistical=0.852, p=0.000\n", + "LBR-Population ages 0-14 (% of total population)\n", + "Statistical=0.852, p=0.000\n", + "LBR-Population ages 15-64 (% of total population)\n", + "Statistical=0.790, p=0.000\n", + "LBR-Population ages 65 and above (% of total population)\n", + "Statistical=0.790, p=0.000\n", + "LBR-Population density (people per sq. km of land area)\n", + "Statistical=0.928, p=0.035\n", + "LBR-Population growth (annual %)\n", + "Statistical=0.852, p=0.000\n", + "LBR-Population in largest city\n", + "Statistical=0.859, p=0.001\n", + "LBR-Population in the largest city (% of urban population)\n", + "Statistical=0.856, p=0.001\n", + "LBR-Population in urban agglomerations of more than 1 million\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.861, p=0.001\n", + "LBR-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.782, p=0.000\n", + "LBR-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.754, p=0.000\n", + "LBR-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Pregnant women receiving prenatal care (%)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.760, p=0.000\n", + "LBR-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.760, p=0.000\n", + "LBR-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Prevalence of current tobacco use (% of adults)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Prevalence of undernourishment (% of population)\n", + "Statistical=0.811, p=0.000\n", + "LBR-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Primary income payments (BoP, current US$)\n", + "Statistical=0.792, p=0.000\n", + "LBR-Primary income receipts (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Primary school starting age (years)\n", + "Statistical=0.882, p=0.002\n", + "LBR-Private credit bureau coverage (% of adults)\n", + "Statistical=0.763, p=0.000\n", + "LBR-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.795, p=0.000\n", + "LBR-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.760, p=0.000\n", + "LBR-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Procedures to build a warehouse (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Procedures to register property (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Profit tax (% of commercial profits)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Progression to secondary school (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.754, p=0.000\n", + "LBR-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.750, p=0.000\n", + "LBR-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.792, p=0.000\n", + "LBR-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.628, p=0.000\n", + "LBR-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.823, p=0.000\n", + "LBR-Public credit registry coverage (% of adults)\n", + "Statistical=0.478, p=0.000\n", + "LBR-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Pump price for gasoline (US$ per liter)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Rail lines (total route-km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.879, p=0.002\n", + "LBR-Refugee population by country or territory of asylum\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Refugee population by country or territory of origin\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Renewable electricity output (% of total electricity output)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Research and development expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Researchers in R&D (per million people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Reserves and related items (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Rural land area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Rural population\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Rural population (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Rural population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.841, p=0.000\n", + "LBR-Scientific and technical journal articles\n", + "Statistical=0.846, p=0.000\n", + "LBR-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.848, p=0.000\n", + "LBR-Secure Internet servers\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Secure Internet servers (per 1 million people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Service exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Service imports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Sex ratio at birth (male births per female births)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Social contributions (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Start-up procedures to register a business (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Suicide mortality rate (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Surface area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Tax payments (number)\n", + "Statistical=0.615, p=0.000\n", + "LBR-Tax revenue (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Taxes less subsidies on products (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Taxes on goods and services (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.742, p=0.000\n", + "LBR-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.896, p=0.005\n", + "LBR-Time required to build a warehouse (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Time required to enforce a contract (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Time required to get electricity (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Time required to register property (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Time required to start a business (days)\n", + "Statistical=0.268, p=0.000\n", + "LBR-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.404, p=0.000\n", + "LBR-Time to obtain an electrical connection (days)\n", + "Statistical=0.404, p=0.000\n", + "LBR-Time to prepare and pay taxes (hours)\n", + "Statistical=0.404, p=0.000\n", + "LBR-Time to resolve insolvency (years)\n", + "Statistical=0.406, p=0.000\n", + "LBR-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.414, p=0.000\n", + "LBR-Total fisheries production (metric tons)\n", + "Statistical=0.397, p=0.000\n", + "LBR-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.401, p=0.000\n", + "LBR-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.449, p=0.000\n", + "LBR-Total natural resources rents (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Total reserves (includes gold, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Total reserves in months of imports\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Total reserves minus gold (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Total tax and contribution rate (% of profit)\n", + "Statistical=0.931, p=0.040\n", + "LBR-Trade (% of GDP)\n", + "Statistical=0.793, p=0.000\n", + "LBR-Trade in services (% of GDP)\n", + "Statistical=0.955, p=0.202\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Transport services (% of commercial service exports)\n", + "Statistical=0.876, p=0.002\n", + "LBR-Transport services (% of commercial service imports)\n", + "Statistical=0.902, p=0.007\n", + "LBR-Transport services (% of service exports, BoP)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Transport services (% of service imports, BoP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Travel services (% of commercial service exports)\n", + "Statistical=0.785, p=0.000\n", + "LBR-Travel services (% of commercial service imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Travel services (% of service exports, BoP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Travel services (% of service imports, BoP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-UHC service coverage index\n", + "Statistical=0.752, p=0.000\n", + "LBR-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.814, p=0.000\n", + "LBR-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.694, p=0.000\n", + "LBR-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.758, p=0.000\n", + "LBR-Urban land area (sq. km)\n", + "Statistical=0.745, p=0.000\n", + "LBR-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.746, p=0.000\n", + "LBR-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.751, p=0.000\n", + "LBR-Urban population\n", + "Statistical=0.834, p=0.000\n", + "LBR-Urban population (% of total population)\n", + "Statistical=0.834, p=0.000\n", + "LBR-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-GDP (current US$)+2\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-GDP (current US$)+3\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-GDP (current US$)+5\n", + "Statistical=0.776, p=0.000\n", + "LBR-GDP (current US$)+8\n", + "Statistical=0.874, p=0.001\n", + "LBR-GDP (current US$)+13\n", + "Statistical=0.745, p=0.000\n", + "LBR-GDP (current US$)+21\n", + "Statistical=0.745, p=0.000\n", + "LBR-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.714, p=0.000\n", + "LBR-Deposit interest rate (%)\n", + "Statistical=0.714, p=0.000\n", + "LBR-Other taxes (% of revenue)\n", + "Statistical=0.744, p=0.000\n", + "LBR-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.773, p=0.000\n", + "LBR-Taxes on international trade (% of revenue)\n", + "Statistical=0.773, p=0.000\n", + "LBR-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.821, p=0.000\n", + "LBR-Broad money (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Broad money growth (annual %)\n", + "Statistical=0.664, p=0.000\n", + "LBR-Broad money to total reserves ratio\n", + "Statistical=0.562, p=0.000\n", + "LBR-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.706, p=0.000\n", + "LBR-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.624, p=0.000\n", + "LBR-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-External health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-External health expenditure per capita (current US$)\n", + "Statistical=0.432, p=0.000\n", + "LBR-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.752, p=0.000\n", + "LBR-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.855, p=0.001\n", + "LBR-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.663, p=0.000\n", + "LBR-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.718, p=0.000\n", + "LBR-People practicing open defecation (% of population)\n", + "Statistical=0.771, p=0.000\n", + "LBR-Taxes on exports (% of tax revenue)\n", + "Statistical=0.859, p=0.001\n", + "LBR-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "LBR-Country\n", + "Statistical=0.688, p=0.000\n", + "LBR-Year\n", + "Statistical=0.717, p=0.000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LBR-Continent\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Adjusted net national income (current US$)\n", + "Statistical=0.776, p=0.000\n", + "MOZ-Adjusted net national income per capita (current US$)\n", + "Statistical=0.812, p=0.000\n", + "MOZ-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.844, p=0.000\n", + "MOZ-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.866, p=0.001\n", + "MOZ-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.740, p=0.000\n", + "MOZ-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.858, p=0.001\n", + "MOZ-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Adjusted savings: net national savings (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Age dependency ratio (% of working-age population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Agricultural land (% of land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Agricultural land (sq. km)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Agricultural methane emissions (% of total)\n", + "Statistical=0.835, p=0.000\n", + "MOZ-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.838, p=0.000\n", + "MOZ-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.829, p=0.000\n", + "MOZ-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.981, p=0.828\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.897, p=0.005\n", + "MOZ-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.920, p=0.020\n", + "MOZ-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.977, p=0.699\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Aquaculture production (metric tons)\n", + "Statistical=0.887, p=0.003\n", + "MOZ-Arable land (% of land area)\n", + "Statistical=0.956, p=0.217\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Arable land (hectares per person)\n", + "Statistical=0.833, p=0.000\n", + "MOZ-Arable land (hectares)\n", + "Statistical=0.829, p=0.000\n", + "MOZ-Armed forces personnel (% of total labor force)\n", + "Statistical=0.852, p=0.000\n", + "MOZ-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.810, p=0.000\n", + "MOZ-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.903, p=0.007\n", + "MOZ-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.812, p=0.000\n", + "MOZ-Average precipitation in depth (mm per year)\n", + "Statistical=0.850, p=0.000\n", + "MOZ-Average time to clear exports through customs (days)\n", + "Statistical=0.847, p=0.000\n", + "MOZ-Births attended by skilled health staff (% of total)\n", + "Statistical=0.905, p=0.009\n", + "MOZ-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.857, p=0.001\n", + "MOZ-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.755, p=0.000\n", + "MOZ-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.839, p=0.000\n", + "MOZ-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.784, p=0.000\n", + "MOZ-CO2 emissions (kt)\n", + "Statistical=0.846, p=0.000\n", + "MOZ-CO2 emissions (metric tons per capita)\n", + "Statistical=0.770, p=0.000\n", + "MOZ-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.766, p=0.000\n", + "MOZ-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.872, p=0.001\n", + "MOZ-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.820, p=0.000\n", + "MOZ-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.873, p=0.001\n", + "MOZ-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.945, p=0.107\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.881, p=0.002\n", + "MOZ-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.850, p=0.000\n", + "MOZ-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.835, p=0.000\n", + "MOZ-Capture fisheries production (metric tons)\n", + "Statistical=0.920, p=0.021\n", + "MOZ-Cereal production (metric tons)\n", + "Statistical=0.967, p=0.412\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Cereal yield (kg per hectare)\n", + "Statistical=0.967, p=0.413\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Changes in inventories (current US$)\n", + "Statistical=0.959, p=0.265\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Chemicals (% of value added in manufacturing)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Children out of school (% of primary school age)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Coal rents (% of GDP)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Combustible renewables and waste (% of total energy)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Commercial bank branches (per 100,000 adults)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Commercial service exports (current US$)\n", + "Statistical=0.792, p=0.000\n", + "MOZ-Commercial service imports (current US$)\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Completeness of birth registration (%)\n", + "Statistical=0.828, p=0.000\n", + "MOZ-Consumer price index (2010 = 100)\n", + "Statistical=0.963, p=0.323\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.828, p=0.000\n", + "MOZ-Crop production index (2014-2016 = 100)\n", + "Statistical=0.955, p=0.205\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Current account balance (% of GDP)\n", + "Statistical=0.950, p=0.142\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Current account balance (BoP, current US$)\n", + "Statistical=0.969, p=0.484\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Current health expenditure (% of GDP)\n", + "Statistical=0.916, p=0.017\n", + "MOZ-Current health expenditure per capita (current US$)\n", + "Statistical=0.916, p=0.017\n", + "MOZ-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.853, p=0.000\n", + "MOZ-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.874, p=0.001\n", + "MOZ-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.885, p=0.003\n", + "MOZ-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.961, p=0.302\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.906, p=0.009\n", + "MOZ-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.920, p=0.021\n", + "MOZ-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.723, p=0.000\n", + "MOZ-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.761, p=0.000\n", + "MOZ-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.820, p=0.000\n", + "MOZ-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.918, p=0.018\n", + "MOZ-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.894, p=0.004\n", + "MOZ-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.894, p=0.004\n", + "MOZ-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.841, p=0.000\n", + "MOZ-Electric power consumption (kWh per capita)\n", + "Statistical=0.813, p=0.000\n", + "MOZ-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.928, p=0.034\n", + "MOZ-Electricity production from coal sources (% of total)\n", + "Statistical=0.813, p=0.000\n", + "MOZ-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.893, p=0.004\n", + "MOZ-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.565, p=0.000\n", + "MOZ-Electricity production from nuclear sources (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Electricity production from oil sources (% of total)\n", + "Statistical=0.507, p=0.000\n", + "MOZ-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.766, p=0.000\n", + "MOZ-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.718, p=0.000\n", + "MOZ-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.826, p=0.000\n", + "MOZ-Energy related methane emissions (% of total)\n", + "Statistical=0.803, p=0.000\n", + "MOZ-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.896, p=0.005\n", + "MOZ-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.848, p=0.000\n", + "MOZ-Export unit value index (2000 = 100)\n", + "Statistical=0.777, p=0.000\n", + "MOZ-Export value index (2000 = 100)\n", + "Statistical=0.761, p=0.000\n", + "MOZ-Export volume index (2000 = 100)\n", + "Statistical=0.784, p=0.000\n", + "MOZ-Exports of goods and services (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.867, p=0.001\n", + "MOZ-Exports of goods and services (current US$)\n", + "Statistical=0.778, p=0.000\n", + "MOZ-External balance on goods and services (% of GDP)\n", + "Statistical=0.953, p=0.180\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-External balance on goods and services (current US$)\n", + "Statistical=0.898, p=0.006\n", + "MOZ-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.916, p=0.016\n", + "MOZ-Final consumption expenditure (% of GDP)\n", + "Statistical=0.916, p=0.016\n", + "MOZ-Final consumption expenditure (current US$)\n", + "Statistical=0.892, p=0.004\n", + "MOZ-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.790, p=0.000\n", + "MOZ-Firms offering formal training (% of firms)\n", + "Statistical=0.812, p=0.000\n", + "MOZ-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.867, p=0.001\n", + "MOZ-Firms using banks to finance working capital (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Firms with female participation in ownership (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Fixed broadband subscriptions\n", + "Statistical=0.921, p=0.023\n", + "MOZ-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.835, p=0.000\n", + "MOZ-Fixed telephone subscriptions\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.858, p=0.001\n", + "MOZ-Food exports (% of merchandise exports)\n", + "Statistical=0.911, p=0.012\n", + "MOZ-Food imports (% of merchandise imports)\n", + "Statistical=0.716, p=0.000\n", + "MOZ-Food production index (2014-2016 = 100)\n", + "Statistical=0.811, p=0.000\n", + "MOZ-Forest area (% of land area)\n", + "Statistical=0.889, p=0.003\n", + "MOZ-Forest area (sq. km)\n", + "Statistical=0.844, p=0.000\n", + "MOZ-Forest rents (% of GDP)\n", + "Statistical=0.829, p=0.000\n", + "MOZ-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.850, p=0.000\n", + "MOZ-Fuel exports (% of merchandise exports)\n", + "Statistical=0.819, p=0.000\n", + "MOZ-Fuel imports (% of merchandise imports)\n", + "Statistical=0.852, p=0.000\n", + "MOZ-GDP (current US$)\n", + "Statistical=0.928, p=0.035\n", + "MOZ-GDP deflator (base year varies by country)\n", + "Statistical=0.962, p=0.310\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-GDP deflator: linked series (base year varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-GDP growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-GDP per capita (current US$)\n", + "Statistical=0.713, p=0.000\n", + "MOZ-GDP per capita growth (annual %)\n", + "Statistical=0.662, p=0.000\n", + "MOZ-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.863, p=0.001\n", + "MOZ-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.857, p=0.001\n", + "MOZ-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.853, p=0.000\n", + "MOZ-GNI (current US$)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-GNI growth (annual %)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-GNI per capita growth (annual %)\n", + "Statistical=0.921, p=0.023\n", + "MOZ-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-General government final consumption expenditure (current US$)\n", + "Statistical=0.913, p=0.013\n", + "MOZ-Gini index\n", + "Statistical=0.971, p=0.532\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Goods exports (BoP, current US$)\n", + "Statistical=0.647, p=0.000\n", + "MOZ-Goods imports (BoP, current US$)\n", + "Statistical=0.926, p=0.031\n", + "MOZ-Grants and other revenue (% of revenue)\n", + "Statistical=0.756, p=0.000\n", + "MOZ-Gross capital formation (% of GDP)\n", + "Statistical=0.767, p=0.000\n", + "MOZ-Gross capital formation (current US$)\n", + "Statistical=0.736, p=0.000\n", + "MOZ-Gross domestic savings (% of GDP)\n", + "Statistical=0.707, p=0.000\n", + "MOZ-Gross domestic savings (current US$)\n", + "Statistical=0.770, p=0.000\n", + "MOZ-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.681, p=0.000\n", + "MOZ-Gross fixed capital formation (current US$)\n", + "Statistical=0.607, p=0.000\n", + "MOZ-Gross national expenditure (% of GDP)\n", + "Statistical=0.607, p=0.000\n", + "MOZ-Gross national expenditure (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.744, p=0.000\n", + "MOZ-Gross savings (% of GDP)\n", + "Statistical=0.763, p=0.000\n", + "MOZ-Gross savings (current US$)\n", + "Statistical=0.767, p=0.000\n", + "MOZ-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.700, p=0.000\n", + "MOZ-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.875, p=0.001\n", + "MOZ-High-technology exports (% of manufactured exports)\n", + "Statistical=0.718, p=0.000\n", + "MOZ-High-technology exports (current US$)\n", + "Statistical=0.881, p=0.002\n", + "MOZ-Hospital beds (per 1,000 people)\n", + "Statistical=0.909, p=0.010\n", + "MOZ-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.911, p=0.012\n", + "MOZ-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.776, p=0.000\n", + "MOZ-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.776, p=0.000\n", + "MOZ-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.776, p=0.000\n", + "MOZ-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.949, p=0.132\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.732, p=0.000\n", + "MOZ-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.719, p=0.000\n", + "MOZ-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.721, p=0.000\n", + "MOZ-ICT goods exports (% of total goods exports)\n", + "Statistical=0.697, p=0.000\n", + "MOZ-ICT goods imports (% total goods imports)\n", + "Statistical=0.814, p=0.000\n", + "MOZ-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.858, p=0.001\n", + "MOZ-ICT service exports (BoP, current US$)\n", + "Statistical=0.826, p=0.000\n", + "MOZ-Import unit value index (2000 = 100)\n", + "Statistical=0.815, p=0.000\n", + "MOZ-Import value index (2000 = 100)\n", + "Statistical=0.696, p=0.000\n", + "MOZ-Import volume index (2000 = 100)\n", + "Statistical=0.653, p=0.000\n", + "MOZ-Imports of goods and services (% of GDP)\n", + "Statistical=0.923, p=0.025\n", + "MOZ-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Imports of goods and services (current US$)\n", + "Statistical=0.868, p=0.001\n", + "MOZ-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "MOZ-Income share held by highest 10%\n", + "Statistical=0.519, p=0.000\n", + "MOZ-Income share held by highest 20%\n", + "Statistical=0.806, p=0.000\n", + "MOZ-Income share held by lowest 10%\n", + "Statistical=0.856, p=0.001\n", + "MOZ-Income share held by lowest 20%\n", + "Statistical=0.857, p=0.001\n", + "MOZ-Income share held by second 20%\n", + "Statistical=0.786, p=0.000\n", + "MOZ-Income share held by third 20%\n", + "Statistical=0.813, p=0.000\n", + "MOZ-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.841, p=0.000\n", + "MOZ-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.855, p=0.001\n", + "MOZ-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.810, p=0.000\n", + "MOZ-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.842, p=0.000\n", + "MOZ-Individuals using the Internet (% of population)\n", + "Statistical=0.733, p=0.000\n", + "MOZ-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.655, p=0.000\n", + "MOZ-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.476, p=0.000\n", + "MOZ-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.783, p=0.000\n", + "MOZ-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.714, p=0.000\n", + "MOZ-Intentional homicides (per 100,000 people)\n", + "Statistical=0.791, p=0.000\n", + "MOZ-Interest payments (% of revenue)\n", + "Statistical=0.764, p=0.000\n", + "MOZ-International migrant stock (% of population)\n", + "Statistical=0.602, p=0.000\n", + "MOZ-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.749, p=0.000\n", + "MOZ-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.682, p=0.000\n", + "MOZ-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.690, p=0.000\n", + "MOZ-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.680, p=0.000\n", + "MOZ-Land area (sq. km)\n", + "Statistical=0.761, p=0.000\n", + "MOZ-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.641, p=0.000\n", + "MOZ-Land under cereal production (hectares)\n", + "Statistical=0.709, p=0.000\n", + "MOZ-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.723, p=0.000\n", + "MOZ-Lifetime risk of maternal death (%)\n", + "Statistical=0.870, p=0.001\n", + "MOZ-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.756, p=0.000\n", + "MOZ-Livestock production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.639, p=0.000\n", + "MOZ-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.756, p=0.000\n", + "MOZ-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.923, p=0.025\n", + "MOZ-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.902, p=0.007\n", + "MOZ-Low-birthweight babies (% of births)\n", + "Statistical=0.925, p=0.028\n", + "MOZ-Lower secondary school starting age (years)\n", + "Statistical=0.895, p=0.005\n", + "MOZ-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.880, p=0.002\n", + "MOZ-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.905, p=0.008\n", + "MOZ-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.841, p=0.000\n", + "MOZ-Marine protected areas (% of territorial waters)\n", + "Statistical=0.743, p=0.000\n", + "MOZ-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.861, p=0.001\n", + "MOZ-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.914, p=0.014\n", + "MOZ-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.900, p=0.006\n", + "MOZ-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.867, p=0.001\n", + "MOZ-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.800, p=0.000\n", + "MOZ-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Merchandise exports (current US$)\n", + "Statistical=0.959, p=0.261\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.853, p=0.000\n", + "MOZ-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.857, p=0.001\n", + "MOZ-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.853, p=0.000\n", + "MOZ-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.879, p=0.002\n", + "MOZ-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.865, p=0.001\n", + "MOZ-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.917, p=0.017\n", + "MOZ-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.809, p=0.000\n", + "MOZ-Merchandise imports (current US$)\n", + "Statistical=0.789, p=0.000\n", + "MOZ-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.857, p=0.001\n", + "MOZ-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.906, p=0.009\n", + "MOZ-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.845, p=0.000\n", + "MOZ-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.573, p=0.000\n", + "MOZ-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.958, p=0.238\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.875, p=0.002\n", + "MOZ-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.885, p=0.003\n", + "MOZ-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.868, p=0.001\n", + "MOZ-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.910, p=0.011\n", + "MOZ-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.785, p=0.000\n", + "MOZ-Merchandise trade (% of GDP)\n", + "Statistical=0.975, p=0.639\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Methane emissions (% change from 1990)\n", + "Statistical=0.900, p=0.006\n", + "MOZ-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.900, p=0.006\n", + "MOZ-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.797, p=0.000\n", + "MOZ-Military expenditure (% of GDP)\n", + "Statistical=0.883, p=0.002\n", + "MOZ-Military expenditure (% of general government expenditure)\n", + "Statistical=0.789, p=0.000\n", + "MOZ-Military expenditure (current USD)\n", + "Statistical=0.961, p=0.287\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Mineral rents (% of GDP)\n", + "Statistical=0.551, p=0.000\n", + "MOZ-Mobile cellular subscriptions\n", + "Statistical=0.733, p=0.000\n", + "MOZ-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.768, p=0.000\n", + "MOZ-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.818, p=0.000\n", + "MOZ-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.827, p=0.000\n", + "MOZ-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.831, p=0.000\n", + "MOZ-Natural gas rents (% of GDP)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Net barter terms of trade index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Net capital account (BoP, current US$)\n", + "Statistical=0.925, p=0.028\n", + "MOZ-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.890, p=0.003\n", + "MOZ-Net financial account (BoP, current US$)\n", + "Statistical=0.980, p=0.805\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Net migration\n", + "Statistical=0.873, p=0.001\n", + "MOZ-Net primary income (BoP, current US$)\n", + "Statistical=0.873, p=0.001\n", + "MOZ-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.855, p=0.001\n", + "MOZ-Net secondary income (BoP, current US$)\n", + "Statistical=0.908, p=0.010\n", + "MOZ-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.718, p=0.000\n", + "MOZ-Net trade in goods (BoP, current US$)\n", + "Statistical=0.718, p=0.000\n", + "MOZ-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.718, p=0.000\n", + "MOZ-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.718, p=0.000\n", + "MOZ-New businesses registered (number)\n", + "Statistical=0.718, p=0.000\n", + "MOZ-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.724, p=0.000\n", + "MOZ-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.746, p=0.000\n", + "MOZ-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.896, p=0.005\n", + "MOZ-Number of deaths ages 10-14 years\n", + "Statistical=0.961, p=0.294\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Number of deaths ages 15-19 years\n", + "Statistical=0.892, p=0.004\n", + "MOZ-Number of deaths ages 20-24 years\n", + "Statistical=0.970, p=0.496\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Number of deaths ages 5-9 years\n", + "Statistical=0.950, p=0.145\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Number of infant deaths\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Number of maternal deaths\n", + "Statistical=0.738, p=0.000\n", + "MOZ-Number of neonatal deaths\n", + "Statistical=0.825, p=0.000\n", + "MOZ-Number of under-five deaths\n", + "Statistical=0.787, p=0.000\n", + "MOZ-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.770, p=0.000\n", + "MOZ-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.763, p=0.000\n", + "MOZ-Oil rents (% of GDP)\n", + "Statistical=0.953, p=0.181\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.953, p=0.181\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.898, p=0.006\n", + "MOZ-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.863, p=0.001\n", + "MOZ-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.929, p=0.037\n", + "MOZ-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.977, p=0.706\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.894, p=0.004\n", + "MOZ-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.894, p=0.004\n", + "MOZ-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.854, p=0.001\n", + "MOZ-People using at least basic drinking water services (% of population)\n", + "Statistical=0.913, p=0.013\n", + "MOZ-People using at least basic sanitation services (% of population)\n", + "Statistical=0.952, p=0.162\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-People using safely managed sanitation services (% of population)\n", + "Statistical=0.952, p=0.162\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Permanent cropland (% of land area)\n", + "Statistical=0.949, p=0.131\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Physicians (per 1,000 people)\n", + "Statistical=0.896, p=0.005\n", + "MOZ-Population ages 0-14 (% of total population)\n", + "Statistical=0.896, p=0.005\n", + "MOZ-Population ages 15-64 (% of total population)\n", + "Statistical=0.897, p=0.005\n", + "MOZ-Population ages 65 and above (% of total population)\n", + "Statistical=0.954, p=0.189\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Population density (people per sq. km of land area)\n", + "Statistical=0.956, p=0.212\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Population growth (annual %)\n", + "Statistical=0.896, p=0.005\n", + "MOZ-Population in largest city\n", + "Statistical=0.897, p=0.005\n", + "MOZ-Population in the largest city (% of urban population)\n", + "Statistical=0.885, p=0.003\n", + "MOZ-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.863, p=0.001\n", + "MOZ-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.878, p=0.002\n", + "MOZ-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.894, p=0.004\n", + "MOZ-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.880, p=0.002\n", + "MOZ-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.854, p=0.001\n", + "MOZ-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.889, p=0.003\n", + "MOZ-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.889, p=0.003\n", + "MOZ-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.851, p=0.000\n", + "MOZ-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.915, p=0.016\n", + "MOZ-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.971, p=0.524\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.888, p=0.003\n", + "MOZ-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.888, p=0.003\n", + "MOZ-Prevalence of undernourishment (% of population)\n", + "Statistical=0.895, p=0.005\n", + "MOZ-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.966, p=0.406\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Primary income payments (BoP, current US$)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Primary income receipts (BoP, current US$)\n", + "Statistical=0.888, p=0.003\n", + "MOZ-Primary school starting age (years)\n", + "Statistical=0.894, p=0.004\n", + "MOZ-Private credit bureau coverage (% of adults)\n", + "Statistical=0.898, p=0.006\n", + "MOZ-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.889, p=0.003\n", + "MOZ-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.877, p=0.002\n", + "MOZ-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.851, p=0.000\n", + "MOZ-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Procedures to build a warehouse (number)\n", + "Statistical=0.980, p=0.814\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Procedures to register property (number)\n", + "Statistical=0.841, p=0.000\n", + "MOZ-Profit tax (% of commercial profits)\n", + "Statistical=0.841, p=0.000\n", + "MOZ-Progression to secondary school (%)\n", + "Statistical=0.795, p=0.000\n", + "MOZ-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.885, p=0.003\n", + "MOZ-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.809, p=0.000\n", + "MOZ-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.788, p=0.000\n", + "MOZ-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.764, p=0.000\n", + "MOZ-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.861, p=0.001\n", + "MOZ-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.871, p=0.001\n", + "MOZ-Public credit registry coverage (% of adults)\n", + "Statistical=0.698, p=0.000\n", + "MOZ-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.685, p=0.000\n", + "MOZ-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.712, p=0.000\n", + "MOZ-Rail lines (total route-km)\n", + "Statistical=0.645, p=0.000\n", + "MOZ-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.785, p=0.000\n", + "MOZ-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.919, p=0.020\n", + "MOZ-Refugee population by country or territory of asylum\n", + "Statistical=0.906, p=0.009\n", + "MOZ-Refugee population by country or territory of origin\n", + "Statistical=0.964, p=0.342\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.837, p=0.000\n", + "MOZ-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.837, p=0.000\n", + "MOZ-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.766, p=0.000\n", + "MOZ-Research and development expenditure (% of GDP)\n", + "Statistical=0.815, p=0.000\n", + "MOZ-Researchers in R&D (per million people)\n", + "Statistical=0.892, p=0.004\n", + "MOZ-Reserves and related items (BoP, current US$)\n", + "Statistical=0.890, p=0.003\n", + "MOZ-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.862, p=0.001\n", + "MOZ-Rural land area (sq. km)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.871, p=0.001\n", + "MOZ-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.966, p=0.403\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Rural population\n", + "Statistical=0.789, p=0.000\n", + "MOZ-Rural population (% of total population)\n", + "Statistical=0.789, p=0.000\n", + "MOZ-Rural population growth (annual %)\n", + "Statistical=0.756, p=0.000\n", + "MOZ-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.834, p=0.000\n", + "MOZ-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.870, p=0.001\n", + "MOZ-Scientific and technical journal articles\n", + "Statistical=0.867, p=0.001\n", + "MOZ-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.869, p=0.001\n", + "MOZ-Secure Internet servers\n", + "Statistical=0.962, p=0.314\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Secure Internet servers (per 1 million people)\n", + "Statistical=0.861, p=0.001\n", + "MOZ-Service exports (BoP, current US$)\n", + "Statistical=0.861, p=0.001\n", + "MOZ-Service imports (BoP, current US$)\n", + "Statistical=0.831, p=0.000\n", + "MOZ-Sex ratio at birth (male births per female births)\n", + "Statistical=0.900, p=0.006\n", + "MOZ-Social contributions (% of revenue)\n", + "Statistical=0.948, p=0.123\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.780, p=0.000\n", + "MOZ-Start-up procedures to register a business (number)\n", + "Statistical=0.784, p=0.000\n", + "MOZ-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.753, p=0.000\n", + "MOZ-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.786, p=0.000\n", + "MOZ-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.888, p=0.003\n", + "MOZ-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.888, p=0.003\n", + "MOZ-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.853, p=0.000\n", + "MOZ-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.904, p=0.008\n", + "MOZ-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.612, p=0.000\n", + "MOZ-Surface area (sq. km)\n", + "Statistical=0.584, p=0.000\n", + "MOZ-Tax payments (number)\n", + "Statistical=0.775, p=0.000\n", + "MOZ-Tax revenue (% of GDP)\n", + "Statistical=0.903, p=0.007\n", + "MOZ-Taxes less subsidies on products (current US$)\n", + "Statistical=0.888, p=0.003\n", + "MOZ-Taxes on goods and services (% of revenue)\n", + "Statistical=0.888, p=0.003\n", + "MOZ-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.870, p=0.001\n", + "MOZ-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.910, p=0.011\n", + "MOZ-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.876, p=0.002\n", + "MOZ-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Time required to build a warehouse (days)\n", + "Statistical=0.888, p=0.003\n", + "MOZ-Time required to enforce a contract (days)\n", + "Statistical=0.712, p=0.000\n", + "MOZ-Time required to get electricity (days)\n", + "Statistical=0.879, p=0.002\n", + "MOZ-Time required to register property (days)\n", + "Statistical=0.870, p=0.001\n", + "MOZ-Time required to start a business (days)\n", + "Statistical=0.369, p=0.000\n", + "MOZ-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Time to obtain an electrical connection (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Time to prepare and pay taxes (hours)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Time to resolve insolvency (years)\n", + "Statistical=0.385, p=0.000\n", + "MOZ-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Total fisheries production (metric tons)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.294, p=0.000\n", + "MOZ-Total natural resources rents (% of GDP)\n", + "Statistical=0.848, p=0.000\n", + "MOZ-Total reserves (includes gold, current US$)\n", + "Statistical=0.905, p=0.008\n", + "MOZ-Total reserves in months of imports\n", + "Statistical=0.877, p=0.002\n", + "MOZ-Total reserves minus gold (current US$)\n", + "Statistical=0.787, p=0.000\n", + "MOZ-Total tax and contribution rate (% of profit)\n", + "Statistical=0.897, p=0.005\n", + "MOZ-Trade (% of GDP)\n", + "Statistical=0.701, p=0.000\n", + "MOZ-Trade in services (% of GDP)\n", + "Statistical=0.901, p=0.006\n", + "MOZ-Transport services (% of commercial service exports)\n", + "Statistical=0.849, p=0.000\n", + "MOZ-Transport services (% of commercial service imports)\n", + "Statistical=0.862, p=0.001\n", + "MOZ-Transport services (% of service exports, BoP)\n", + "Statistical=0.899, p=0.006\n", + "MOZ-Transport services (% of service imports, BoP)\n", + "Statistical=0.877, p=0.002\n", + "MOZ-Travel services (% of commercial service exports)\n", + "Statistical=0.753, p=0.000\n", + "MOZ-Travel services (% of commercial service imports)\n", + "Statistical=0.982, p=0.856\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Travel services (% of service exports, BoP)\n", + "Statistical=0.804, p=0.000\n", + "MOZ-Travel services (% of service imports, BoP)\n", + "Statistical=0.804, p=0.000\n", + "MOZ-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.774, p=0.000\n", + "MOZ-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.823, p=0.000\n", + "MOZ-UHC service coverage index\n", + "Statistical=0.761, p=0.000\n", + "MOZ-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.813, p=0.000\n", + "MOZ-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.917, p=0.018\n", + "MOZ-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.887, p=0.003\n", + "MOZ-Urban land area (sq. km)\n", + "Statistical=0.820, p=0.000\n", + "MOZ-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.882, p=0.002\n", + "MOZ-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.848, p=0.000\n", + "MOZ-Urban population\n", + "Statistical=0.820, p=0.000\n", + "MOZ-Urban population (% of total population)\n", + "Statistical=0.796, p=0.000\n", + "MOZ-Urban population growth (annual %)\n", + "Statistical=0.713, p=0.000\n", + "MOZ-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.713, p=0.000\n", + "MOZ-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.713, p=0.000\n", + "MOZ-GDP (current US$)+1\n", + "Statistical=0.713, p=0.000\n", + "MOZ-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-GDP (current US$)+2\n", + "Statistical=0.795, p=0.000\n", + "MOZ-GDP (current US$)+3\n", + "Statistical=0.844, p=0.000\n", + "MOZ-GDP (current US$)+5\n", + "Statistical=0.959, p=0.264\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-GDP (current US$)+8\n", + "Statistical=0.981, p=0.839\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-GDP (current US$)+13\n", + "Statistical=0.904, p=0.008\n", + "MOZ-GDP (current US$)+21\n", + "Statistical=0.904, p=0.008\n", + "MOZ-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.836, p=0.000\n", + "MOZ-Deposit interest rate (%)\n", + "Statistical=0.927, p=0.031\n", + "MOZ-Other taxes (% of revenue)\n", + "Statistical=0.891, p=0.004\n", + "MOZ-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.950, p=0.147\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Taxes on international trade (% of revenue)\n", + "Statistical=0.950, p=0.147\n", + "Data is NORMAL ( H0 not denied )\n", + "MOZ-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.816, p=0.000\n", + "MOZ-Broad money (% of GDP)\n", + "Statistical=0.705, p=0.000\n", + "MOZ-Broad money growth (annual %)\n", + "Statistical=0.816, p=0.000\n", + "MOZ-Broad money to total reserves ratio\n", + "Statistical=0.695, p=0.000\n", + "MOZ-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.813, p=0.000\n", + "MOZ-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.740, p=0.000\n", + "MOZ-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.623, p=0.000\n", + "MOZ-External health expenditure (% of current health expenditure)\n", + "Statistical=0.596, p=0.000\n", + "MOZ-External health expenditure per capita (current US$)\n", + "Statistical=0.715, p=0.000\n", + "MOZ-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.888, p=0.003\n", + "MOZ-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.839, p=0.000\n", + "MOZ-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.758, p=0.000\n", + "MOZ-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.857, p=0.001\n", + "MOZ-People practicing open defecation (% of population)\n", + "Statistical=0.777, p=0.000\n", + "MOZ-Taxes on exports (% of tax revenue)\n", + "Statistical=0.896, p=0.005\n", + "MOZ-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.861, p=0.001\n", + "MOZ-Country\n", + "Statistical=0.762, p=0.000\n", + "MOZ-Year\n", + "Statistical=0.834, p=0.000\n", + "MOZ-Continent\n", + "Statistical=0.827, p=0.000\n", + "CMR-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Adjusted net national income (current US$)\n", + "Statistical=0.807, p=0.000\n", + "CMR-Adjusted net national income per capita (current US$)\n", + "Statistical=0.808, p=0.000\n", + "CMR-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.800, p=0.000\n", + "CMR-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.963, p=0.324\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.563, p=0.000\n", + "CMR-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.533, p=0.000\n", + "CMR-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.588, p=0.000\n", + "CMR-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.579, p=0.000\n", + "CMR-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.716, p=0.000\n", + "CMR-Age dependency ratio (% of working-age population)\n", + "Statistical=0.659, p=0.000\n", + "CMR-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.550, p=0.000\n", + "CMR-Agricultural land (% of land area)\n", + "Statistical=0.560, p=0.000\n", + "CMR-Agricultural land (sq. km)\n", + "Statistical=0.523, p=0.000\n", + "CMR-Agricultural methane emissions (% of total)\n", + "Statistical=0.903, p=0.007\n", + "CMR-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.924, p=0.026\n", + "CMR-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.911, p=0.012\n", + "CMR-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.962, p=0.305\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.911, p=0.012\n", + "CMR-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.868, p=0.001\n", + "CMR-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.962, p=0.303\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Aquaculture production (metric tons)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Arable land (% of land area)\n", + "Statistical=0.907, p=0.009\n", + "CMR-Arable land (hectares per person)\n", + "Statistical=0.975, p=0.655\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Arable land (hectares)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Armed forces personnel (% of total labor force)\n", + "Statistical=0.969, p=0.473\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.957, p=0.221\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.875, p=0.002\n", + "CMR-Average precipitation in depth (mm per year)\n", + "Statistical=0.972, p=0.546\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Average time to clear exports through customs (days)\n", + "Statistical=0.822, p=0.000\n", + "CMR-Births attended by skilled health staff (% of total)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.888, p=0.003\n", + "CMR-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.951, p=0.157\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.927, p=0.033\n", + "CMR-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.984, p=0.896\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-CO2 emissions (kt)\n", + "Statistical=0.902, p=0.007\n", + "CMR-CO2 emissions (metric tons per capita)\n", + "Statistical=0.807, p=0.000\n", + "CMR-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.959, p=0.254\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.963, p=0.338\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.920, p=0.021\n", + "CMR-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.897, p=0.005\n", + "CMR-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.949, p=0.133\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.622, p=0.000\n", + "CMR-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.426, p=0.000\n", + "CMR-Capture fisheries production (metric tons)\n", + "Statistical=0.538, p=0.000\n", + "CMR-Cereal production (metric tons)\n", + "Statistical=0.934, p=0.050\n", + "CMR-Cereal yield (kg per hectare)\n", + "Statistical=0.914, p=0.014\n", + "CMR-Changes in inventories (current US$)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Chemicals (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Children out of school (% of primary school age)\n", + "Statistical=0.678, p=0.000\n", + "CMR-Coal rents (% of GDP)\n", + "Statistical=0.678, p=0.000\n", + "CMR-Combustible renewables and waste (% of total energy)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.172, p=0.000\n", + "CMR-Commercial service exports (current US$)\n", + "Statistical=0.831, p=0.000\n", + "CMR-Commercial service imports (current US$)\n", + "Statistical=0.917, p=0.018\n", + "CMR-Completeness of birth registration (%)\n", + "Statistical=0.866, p=0.001\n", + "CMR-Consumer price index (2010 = 100)\n", + "Statistical=0.893, p=0.004\n", + "CMR-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.962, p=0.302\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Crop production index (2014-2016 = 100)\n", + "Statistical=0.909, p=0.011\n", + "CMR-Current account balance (% of GDP)\n", + "Statistical=0.964, p=0.345\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Current account balance (BoP, current US$)\n", + "Statistical=0.983, p=0.874\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Current health expenditure (% of GDP)\n", + "Statistical=0.950, p=0.144\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Current health expenditure per capita (current US$)\n", + "Statistical=0.950, p=0.144\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.905, p=0.009\n", + "CMR-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.905, p=0.008\n", + "CMR-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.860, p=0.001\n", + "CMR-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.869, p=0.001\n", + "CMR-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.923, p=0.025\n", + "CMR-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.963, p=0.333\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.886, p=0.003\n", + "CMR-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.749, p=0.000\n", + "CMR-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.749, p=0.000\n", + "CMR-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.749, p=0.000\n", + "CMR-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.712, p=0.000\n", + "CMR-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.712, p=0.000\n", + "CMR-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.810, p=0.000\n", + "CMR-Electric power consumption (kWh per capita)\n", + "Statistical=0.638, p=0.000\n", + "CMR-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.931, p=0.042\n", + "CMR-Electricity production from coal sources (% of total)\n", + "Statistical=0.638, p=0.000\n", + "CMR-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.913, p=0.014\n", + "CMR-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.904, p=0.008\n", + "CMR-Electricity production from nuclear sources (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Electricity production from oil sources (% of total)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.761, p=0.000\n", + "CMR-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.756, p=0.000\n", + "CMR-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.809, p=0.000\n", + "CMR-Energy related methane emissions (% of total)\n", + "Statistical=0.793, p=0.000\n", + "CMR-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.928, p=0.035\n", + "CMR-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.951, p=0.151\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Export unit value index (2000 = 100)\n", + "Statistical=0.814, p=0.000\n", + "CMR-Export value index (2000 = 100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Export volume index (2000 = 100)\n", + "Statistical=0.751, p=0.000\n", + "CMR-Exports of goods and services (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.915, p=0.015\n", + "CMR-Exports of goods and services (current US$)\n", + "Statistical=0.855, p=0.001\n", + "CMR-External balance on goods and services (% of GDP)\n", + "Statistical=0.958, p=0.239\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-External balance on goods and services (current US$)\n", + "Statistical=0.673, p=0.000\n", + "CMR-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.540, p=0.000\n", + "CMR-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Final consumption expenditure (% of GDP)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Final consumption expenditure (current US$)\n", + "Statistical=0.873, p=0.001\n", + "CMR-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.891, p=0.004\n", + "CMR-Firms offering formal training (% of firms)\n", + "Statistical=0.955, p=0.202\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.701, p=0.000\n", + "CMR-Firms using banks to finance working capital (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Firms with female participation in ownership (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Fixed broadband subscriptions\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.908, p=0.010\n", + "CMR-Fixed telephone subscriptions\n", + "Statistical=0.902, p=0.007\n", + "CMR-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Food exports (% of merchandise exports)\n", + "Statistical=0.815, p=0.000\n", + "CMR-Food imports (% of merchandise imports)\n", + "Statistical=0.592, p=0.000\n", + "CMR-Food production index (2014-2016 = 100)\n", + "Statistical=0.540, p=0.000\n", + "CMR-Forest area (% of land area)\n", + "Statistical=0.798, p=0.000\n", + "CMR-Forest area (sq. km)\n", + "Statistical=0.859, p=0.001\n", + "CMR-Forest rents (% of GDP)\n", + "Statistical=0.913, p=0.013\n", + "CMR-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.840, p=0.000\n", + "CMR-Fuel exports (% of merchandise exports)\n", + "Statistical=0.835, p=0.000\n", + "CMR-Fuel imports (% of merchandise imports)\n", + "Statistical=0.838, p=0.000\n", + "CMR-GDP (current US$)\n", + "Statistical=0.878, p=0.002\n", + "CMR-GDP deflator (base year varies by country)\n", + "Statistical=0.820, p=0.000\n", + "CMR-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.969, p=0.463\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-GDP growth (annual %)\n", + "Statistical=0.967, p=0.433\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-GDP per capita (current US$)\n", + "Statistical=0.854, p=0.000\n", + "CMR-GDP per capita growth (annual %)\n", + "Statistical=0.890, p=0.004\n", + "CMR-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.677, p=0.000\n", + "CMR-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.920, p=0.020\n", + "CMR-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.919, p=0.019\n", + "CMR-GNI (current US$)\n", + "Statistical=0.866, p=0.001\n", + "CMR-GNI growth (annual %)\n", + "Statistical=0.923, p=0.026\n", + "CMR-GNI per capita growth (annual %)\n", + "Statistical=0.958, p=0.240\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.956, p=0.208\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-General government final consumption expenditure (current US$)\n", + "Statistical=0.973, p=0.586\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Gini index\n", + "Statistical=0.952, p=0.165\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Goods imports (BoP, current US$)\n", + "Statistical=0.803, p=0.000\n", + "CMR-Grants and other revenue (% of revenue)\n", + "Statistical=0.782, p=0.000\n", + "CMR-Gross capital formation (% of GDP)\n", + "Statistical=0.921, p=0.022\n", + "CMR-Gross capital formation (current US$)\n", + "Statistical=0.945, p=0.101\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Gross domestic savings (% of GDP)\n", + "Statistical=0.890, p=0.003\n", + "CMR-Gross domestic savings (current US$)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.756, p=0.000\n", + "CMR-Gross fixed capital formation (current US$)\n", + "Statistical=0.637, p=0.000\n", + "CMR-Gross national expenditure (% of GDP)\n", + "Statistical=0.553, p=0.000\n", + "CMR-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.903, p=0.007\n", + "CMR-Gross savings (% of GDP)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Gross savings (current US$)\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.741, p=0.000\n", + "CMR-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-High-technology exports (% of manufactured exports)\n", + "Statistical=0.921, p=0.023\n", + "CMR-High-technology exports (current US$)\n", + "Statistical=0.947, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Hospital beds (per 1,000 people)\n", + "Statistical=0.919, p=0.019\n", + "CMR-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.727, p=0.000\n", + "CMR-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.728, p=0.000\n", + "CMR-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.727, p=0.000\n", + "CMR-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.867, p=0.001\n", + "CMR-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.991, p=0.995\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.967, p=0.433\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.754, p=0.000\n", + "CMR-ICT goods exports (% of total goods exports)\n", + "Statistical=0.703, p=0.000\n", + "CMR-ICT goods imports (% total goods imports)\n", + "Statistical=0.670, p=0.000\n", + "CMR-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.856, p=0.001\n", + "CMR-ICT service exports (BoP, current US$)\n", + "Statistical=0.833, p=0.000\n", + "CMR-Import unit value index (2000 = 100)\n", + "Statistical=0.841, p=0.000\n", + "CMR-Import value index (2000 = 100)\n", + "Statistical=0.922, p=0.024\n", + "CMR-Import volume index (2000 = 100)\n", + "Statistical=0.918, p=0.018\n", + "CMR-Imports of goods and services (% of GDP)\n", + "Statistical=0.920, p=0.021\n", + "CMR-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.877, p=0.002\n", + "CMR-Imports of goods and services (current US$)\n", + "Statistical=0.896, p=0.005\n", + "CMR-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=0.438, p=0.000\n", + "CMR-Income share held by fourth 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Income share held by highest 20%\n", + "Statistical=0.767, p=0.000\n", + "CMR-Income share held by lowest 10%\n", + "Statistical=0.881, p=0.002\n", + "CMR-Income share held by lowest 20%\n", + "Statistical=0.879, p=0.002\n", + "CMR-Income share held by second 20%\n", + "Statistical=0.868, p=0.001\n", + "CMR-Income share held by third 20%\n", + "Statistical=0.852, p=0.000\n", + "CMR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.913, p=0.014\n", + "CMR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.926, p=0.030\n", + "CMR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.886, p=0.003\n", + "CMR-Individuals using the Internet (% of population)\n", + "Statistical=0.812, p=0.000\n", + "CMR-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.821, p=0.000\n", + "CMR-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.454, p=0.000\n", + "CMR-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Intentional homicides (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Interest payments (% of revenue)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-International migrant stock (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CMR-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Labor tax and contributions (% of commercial profits)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Land area (sq. km)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Land under cereal production (hectares)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.823, p=0.000\n", + "CMR-Lifetime risk of maternal death (%)\n", + "Statistical=0.858, p=0.001\n", + "CMR-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.729, p=0.000\n", + "CMR-Livestock production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.776, p=0.000\n", + "CMR-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.745, p=0.000\n", + "CMR-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.908, p=0.010\n", + "CMR-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.692, p=0.000\n", + "CMR-Low-birthweight babies (% of births)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Lower secondary school starting age (years)\n", + "Statistical=0.845, p=0.000\n", + "CMR-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.840, p=0.000\n", + "CMR-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.842, p=0.000\n", + "CMR-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.818, p=0.000\n", + "CMR-Marine protected areas (% of territorial waters)\n", + "Statistical=0.822, p=0.000\n", + "CMR-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.797, p=0.000\n", + "CMR-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.858, p=0.001\n", + "CMR-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.830, p=0.000\n", + "CMR-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.855, p=0.001\n", + "CMR-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.796, p=0.000\n", + "CMR-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.888, p=0.003\n", + "CMR-Merchandise exports (current US$)\n", + "Statistical=0.930, p=0.038\n", + "CMR-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.954, p=0.190\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.898, p=0.005\n", + "CMR-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.747, p=0.000\n", + "CMR-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.697, p=0.000\n", + "CMR-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.933, p=0.048\n", + "CMR-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.697, p=0.000\n", + "CMR-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.823, p=0.000\n", + "CMR-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.698, p=0.000\n", + "CMR-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.893, p=0.004\n", + "CMR-Merchandise imports (current US$)\n", + "Statistical=0.780, p=0.000\n", + "CMR-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.827, p=0.000\n", + "CMR-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.795, p=0.000\n", + "CMR-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.857, p=0.001\n", + "CMR-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.909, p=0.011\n", + "CMR-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.882, p=0.002\n", + "CMR-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.916, p=0.016\n", + "CMR-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.961, p=0.298\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.965, p=0.370\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.972, p=0.560\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.886, p=0.003\n", + "CMR-Merchandise trade (% of GDP)\n", + "Statistical=0.961, p=0.288\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Methane emissions (% change from 1990)\n", + "Statistical=0.962, p=0.309\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.962, p=0.309\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Military expenditure (% of GDP)\n", + "Statistical=0.871, p=0.001\n", + "CMR-Military expenditure (% of general government expenditure)\n", + "Statistical=0.885, p=0.003\n", + "CMR-Military expenditure (current USD)\n", + "Statistical=0.866, p=0.001\n", + "CMR-Mineral rents (% of GDP)\n", + "Statistical=0.395, p=0.000\n", + "CMR-Mobile cellular subscriptions\n", + "Statistical=0.932, p=0.044\n", + "CMR-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.831, p=0.000\n", + "CMR-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.825, p=0.000\n", + "CMR-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.804, p=0.000\n", + "CMR-Natural gas rents (% of GDP)\n", + "Statistical=0.967, p=0.427\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Net barter terms of trade index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Net capital account (BoP, current US$)\n", + "Statistical=0.956, p=0.208\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.933, p=0.047\n", + "CMR-Net financial account (BoP, current US$)\n", + "Statistical=0.926, p=0.031\n", + "CMR-Net migration\n", + "Statistical=0.920, p=0.020\n", + "CMR-Net primary income (BoP, current US$)\n", + "Statistical=0.920, p=0.020\n", + "CMR-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.923, p=0.025\n", + "CMR-Net secondary income (BoP, current US$)\n", + "Statistical=0.881, p=0.002\n", + "CMR-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.711, p=0.000\n", + "CMR-Net trade in goods (BoP, current US$)\n", + "Statistical=0.774, p=0.000\n", + "CMR-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.799, p=0.000\n", + "CMR-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.666, p=0.000\n", + "CMR-New businesses registered (number)\n", + "Statistical=0.760, p=0.000\n", + "CMR-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.520, p=0.000\n", + "CMR-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.525, p=0.000\n", + "CMR-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.785, p=0.000\n", + "CMR-Number of deaths ages 10-14 years\n", + "Statistical=0.796, p=0.000\n", + "CMR-Number of deaths ages 15-19 years\n", + "Statistical=0.986, p=0.935\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Number of deaths ages 20-24 years\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Number of deaths ages 5-9 years\n", + "Statistical=0.874, p=0.001\n", + "CMR-Number of infant deaths\n", + "Statistical=0.746, p=0.000\n", + "CMR-Number of maternal deaths\n", + "Statistical=0.869, p=0.001\n", + "CMR-Number of neonatal deaths\n", + "Statistical=0.953, p=0.179\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Number of under-five deaths\n", + "Statistical=0.886, p=0.003\n", + "CMR-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.980, p=0.799\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.969, p=0.460\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Oil rents (% of GDP)\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.925, p=0.029\n", + "CMR-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.769, p=0.000\n", + "CMR-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.859, p=0.001\n", + "CMR-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.912, p=0.013\n", + "CMR-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.906, p=0.009\n", + "CMR-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.906, p=0.009\n", + "CMR-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.925, p=0.028\n", + "CMR-People using at least basic drinking water services (% of population)\n", + "Statistical=0.877, p=0.002\n", + "CMR-People using at least basic sanitation services (% of population)\n", + "Statistical=0.917, p=0.017\n", + "CMR-People using safely managed sanitation services (% of population)\n", + "Statistical=0.926, p=0.030\n", + "CMR-Permanent cropland (% of land area)\n", + "Statistical=0.973, p=0.587\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Physicians (per 1,000 people)\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Population ages 0-14 (% of total population)\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Population ages 15-64 (% of total population)\n", + "Statistical=0.954, p=0.181\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Population ages 65 and above (% of total population)\n", + "Statistical=0.894, p=0.004\n", + "CMR-Population density (people per sq. km of land area)\n", + "Statistical=0.969, p=0.481\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Population growth (annual %)\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Population in largest city\n", + "Statistical=0.912, p=0.013\n", + "CMR-Population in the largest city (% of urban population)\n", + "Statistical=0.917, p=0.017\n", + "CMR-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.839, p=0.000\n", + "CMR-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.844, p=0.000\n", + "CMR-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.906, p=0.009\n", + "CMR-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.890, p=0.004\n", + "CMR-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.919, p=0.020\n", + "CMR-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.903, p=0.008\n", + "CMR-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.903, p=0.008\n", + "CMR-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.923, p=0.024\n", + "CMR-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.874, p=0.001\n", + "CMR-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.959, p=0.265\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.932, p=0.044\n", + "CMR-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.932, p=0.044\n", + "CMR-Prevalence of undernourishment (% of population)\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.953, p=0.177\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Primary income payments (BoP, current US$)\n", + "Statistical=0.870, p=0.001\n", + "CMR-Primary income receipts (BoP, current US$)\n", + "Statistical=0.932, p=0.044\n", + "CMR-Primary school starting age (years)\n", + "Statistical=0.906, p=0.009\n", + "CMR-Private credit bureau coverage (% of adults)\n", + "Statistical=0.842, p=0.000\n", + "CMR-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.903, p=0.008\n", + "CMR-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.889, p=0.003\n", + "CMR-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.917, p=0.017\n", + "CMR-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.983, p=0.888\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Procedures to build a warehouse (number)\n", + "Statistical=0.975, p=0.647\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Procedures to register property (number)\n", + "Statistical=0.874, p=0.001\n", + "CMR-Profit tax (% of commercial profits)\n", + "Statistical=0.874, p=0.001\n", + "CMR-Progression to secondary school (%)\n", + "Statistical=0.897, p=0.005\n", + "CMR-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.882, p=0.002\n", + "CMR-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.888, p=0.003\n", + "CMR-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.884, p=0.002\n", + "CMR-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.873, p=0.001\n", + "CMR-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.932, p=0.045\n", + "CMR-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.844, p=0.000\n", + "CMR-Public credit registry coverage (% of adults)\n", + "Statistical=0.847, p=0.000\n", + "CMR-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.716, p=0.000\n", + "CMR-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.733, p=0.000\n", + "CMR-Rail lines (total route-km)\n", + "Statistical=0.928, p=0.035\n", + "CMR-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.875, p=0.001\n", + "CMR-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.962, p=0.318\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Refugee population by country or territory of asylum\n", + "Statistical=0.959, p=0.250\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Refugee population by country or territory of origin\n", + "Statistical=0.956, p=0.216\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.882, p=0.002\n", + "CMR-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.882, p=0.002\n", + "CMR-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.924, p=0.026\n", + "CMR-Research and development expenditure (% of GDP)\n", + "Statistical=0.874, p=0.001\n", + "CMR-Researchers in R&D (per million people)\n", + "Statistical=0.903, p=0.007\n", + "CMR-Reserves and related items (BoP, current US$)\n", + "Statistical=0.933, p=0.047\n", + "CMR-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Rural land area (sq. km)\n", + "Statistical=0.897, p=0.005\n", + "CMR-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.968, p=0.441\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.960, p=0.270\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Rural population\n", + "Statistical=0.883, p=0.002\n", + "CMR-Rural population (% of total population)\n", + "Statistical=0.883, p=0.002\n", + "CMR-Rural population growth (annual %)\n", + "Statistical=0.928, p=0.034\n", + "CMR-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.875, p=0.002\n", + "CMR-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.890, p=0.004\n", + "CMR-Scientific and technical journal articles\n", + "Statistical=0.858, p=0.001\n", + "CMR-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.874, p=0.001\n", + "CMR-Secure Internet servers\n", + "Statistical=0.866, p=0.001\n", + "CMR-Secure Internet servers (per 1 million people)\n", + "Statistical=0.913, p=0.014\n", + "CMR-Service exports (BoP, current US$)\n", + "Statistical=0.913, p=0.014\n", + "CMR-Service imports (BoP, current US$)\n", + "Statistical=0.922, p=0.023\n", + "CMR-Sex ratio at birth (male births per female births)\n", + "Statistical=0.876, p=0.002\n", + "CMR-Social contributions (% of revenue)\n", + "Statistical=0.913, p=0.014\n", + "CMR-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.980, p=0.797\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Start-up procedures to register a business (number)\n", + "Statistical=0.983, p=0.874\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.930, p=0.039\n", + "CMR-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.887, p=0.003\n", + "CMR-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.907, p=0.009\n", + "CMR-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.907, p=0.009\n", + "CMR-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.924, p=0.027\n", + "CMR-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.880, p=0.002\n", + "CMR-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.570, p=0.000\n", + "CMR-Surface area (sq. km)\n", + "Statistical=0.436, p=0.000\n", + "CMR-Tax payments (number)\n", + "Statistical=0.836, p=0.000\n", + "CMR-Tax revenue (% of GDP)\n", + "Statistical=0.928, p=0.035\n", + "CMR-Taxes less subsidies on products (current US$)\n", + "Statistical=0.928, p=0.034\n", + "CMR-Taxes on goods and services (% of revenue)\n", + "Statistical=0.928, p=0.034\n", + "CMR-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.927, p=0.032\n", + "CMR-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.880, p=0.002\n", + "CMR-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.956, p=0.211\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.950, p=0.145\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Time required to build a warehouse (days)\n", + "Statistical=0.928, p=0.034\n", + "CMR-Time required to enforce a contract (days)\n", + "Statistical=0.902, p=0.007\n", + "CMR-Time required to get electricity (days)\n", + "Statistical=0.877, p=0.002\n", + "CMR-Time required to register property (days)\n", + "Statistical=0.922, p=0.023\n", + "CMR-Time required to start a business (days)\n", + "Statistical=0.383, p=0.000\n", + "CMR-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.339, p=0.000\n", + "CMR-Time to obtain an electrical connection (days)\n", + "Statistical=0.637, p=0.000\n", + "CMR-Time to prepare and pay taxes (hours)\n", + "Statistical=0.419, p=0.000\n", + "CMR-Time to resolve insolvency (years)\n", + "Statistical=0.601, p=0.000\n", + "CMR-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.419, p=0.000\n", + "CMR-Total fisheries production (metric tons)\n", + "Statistical=0.623, p=0.000\n", + "CMR-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.659, p=0.000\n", + "CMR-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.656, p=0.000\n", + "CMR-Total natural resources rents (% of GDP)\n", + "Statistical=0.810, p=0.000\n", + "CMR-Total reserves (includes gold, current US$)\n", + "Statistical=0.844, p=0.000\n", + "CMR-Total reserves in months of imports\n", + "Statistical=0.926, p=0.031\n", + "CMR-Total reserves minus gold (current US$)\n", + "Statistical=0.863, p=0.001\n", + "CMR-Total tax and contribution rate (% of profit)\n", + "Statistical=0.913, p=0.013\n", + "CMR-Trade (% of GDP)\n", + "Statistical=0.843, p=0.000\n", + "CMR-Trade in services (% of GDP)\n", + "Statistical=0.953, p=0.180\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Transport services (% of commercial service exports)\n", + "Statistical=0.925, p=0.028\n", + "CMR-Transport services (% of commercial service imports)\n", + "Statistical=0.865, p=0.001\n", + "CMR-Transport services (% of service exports, BoP)\n", + "Statistical=0.919, p=0.020\n", + "CMR-Transport services (% of service imports, BoP)\n", + "Statistical=0.974, p=0.630\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Travel services (% of commercial service exports)\n", + "Statistical=0.886, p=0.003\n", + "CMR-Travel services (% of commercial service imports)\n", + "Statistical=0.978, p=0.751\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Travel services (% of service exports, BoP)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Travel services (% of service imports, BoP)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.928, p=0.034\n", + "CMR-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.883, p=0.002\n", + "CMR-UHC service coverage index\n", + "Statistical=0.888, p=0.003\n", + "CMR-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.805, p=0.000\n", + "CMR-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.773, p=0.000\n", + "CMR-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.905, p=0.008\n", + "CMR-Urban land area (sq. km)\n", + "Statistical=0.771, p=0.000\n", + "CMR-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.767, p=0.000\n", + "CMR-Urban population\n", + "Statistical=0.640, p=0.000\n", + "CMR-Urban population (% of total population)\n", + "Statistical=0.857, p=0.001\n", + "CMR-Urban population growth (annual %)\n", + "Statistical=0.799, p=0.000\n", + "CMR-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.799, p=0.000\n", + "CMR-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.695, p=0.000\n", + "CMR-GDP (current US$)+1\n", + "Statistical=0.695, p=0.000\n", + "CMR-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-GDP (current US$)+2\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-GDP (current US$)+3\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-GDP (current US$)+5\n", + "Statistical=0.959, p=0.251\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-GDP (current US$)+8\n", + "Statistical=0.966, p=0.402\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-GDP (current US$)+13\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-GDP (current US$)+21\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.936, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Deposit interest rate (%)\n", + "Statistical=0.872, p=0.001\n", + "CMR-Other taxes (% of revenue)\n", + "Statistical=0.906, p=0.009\n", + "CMR-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.956, p=0.209\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Taxes on international trade (% of revenue)\n", + "Statistical=0.956, p=0.215\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Broad money (% of GDP)\n", + "Statistical=0.955, p=0.195\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Broad money growth (annual %)\n", + "Statistical=0.972, p=0.549\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Broad money to total reserves ratio\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.971, p=0.532\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.926, p=0.030\n", + "CMR-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.910, p=0.011\n", + "CMR-External health expenditure (% of current health expenditure)\n", + "Statistical=0.910, p=0.011\n", + "CMR-External health expenditure per capita (current US$)\n", + "Statistical=0.683, p=0.000\n", + "CMR-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.830, p=0.000\n", + "CMR-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.857, p=0.001\n", + "CMR-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.963, p=0.340\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.879, p=0.002\n", + "CMR-People practicing open defecation (% of population)\n", + "Statistical=0.880, p=0.002\n", + "CMR-Taxes on exports (% of tax revenue)\n", + "Statistical=0.873, p=0.001\n", + "CMR-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.703, p=0.000\n", + "CMR-Country\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "CMR-Year\n", + "Statistical=0.871, p=0.001\n", + "CMR-Continent\n", + "Statistical=0.966, p=0.400\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Adjusted net national income (current US$)\n", + "Statistical=0.652, p=0.000\n", + "NGA-Adjusted net national income per capita (current US$)\n", + "Statistical=0.683, p=0.000\n", + "NGA-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.646, p=0.000\n", + "NGA-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.951, p=0.153\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.966, p=0.404\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.981, p=0.818\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.646, p=0.000\n", + "NGA-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.577, p=0.000\n", + "NGA-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.624, p=0.000\n", + "NGA-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.646, p=0.000\n", + "NGA-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.651, p=0.000\n", + "NGA-Age dependency ratio (% of working-age population)\n", + "Statistical=0.619, p=0.000\n", + "NGA-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.644, p=0.000\n", + "NGA-Agricultural land (% of land area)\n", + "Statistical=0.618, p=0.000\n", + "NGA-Agricultural land (sq. km)\n", + "Statistical=0.635, p=0.000\n", + "NGA-Agricultural methane emissions (% of total)\n", + "Statistical=0.854, p=0.001\n", + "NGA-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.862, p=0.001\n", + "NGA-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.783, p=0.000\n", + "NGA-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.979, p=0.779\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.874, p=0.001\n", + "NGA-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.859, p=0.001\n", + "NGA-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.979, p=0.776\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Aquaculture production (metric tons)\n", + "Statistical=0.919, p=0.019\n", + "NGA-Arable land (% of land area)\n", + "Statistical=0.875, p=0.001\n", + "NGA-Arable land (hectares per person)\n", + "Statistical=0.930, p=0.040\n", + "NGA-Arable land (hectares)\n", + "Statistical=0.922, p=0.024\n", + "NGA-Armed forces personnel (% of total labor force)\n", + "Statistical=0.916, p=0.016\n", + "NGA-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.957, p=0.224\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.914, p=0.014\n", + "NGA-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.885, p=0.003\n", + "NGA-Average precipitation in depth (mm per year)\n", + "Statistical=0.950, p=0.141\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Average time to clear exports through customs (days)\n", + "Statistical=0.844, p=0.000\n", + "NGA-Births attended by skilled health staff (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.858, p=0.001\n", + "NGA-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.972, p=0.565\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.881, p=0.002\n", + "NGA-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.950, p=0.142\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-CO2 emissions (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-CO2 emissions (metric tons per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.966, p=0.409\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.954, p=0.192\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.911, p=0.012\n", + "NGA-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.875, p=0.001\n", + "NGA-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.867, p=0.001\n", + "NGA-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.964, p=0.356\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Capture fisheries production (metric tons)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Cereal production (metric tons)\n", + "Statistical=0.916, p=0.016\n", + "NGA-Cereal yield (kg per hectare)\n", + "Statistical=0.845, p=0.000\n", + "NGA-Changes in inventories (current US$)\n", + "Statistical=0.906, p=0.009\n", + "NGA-Chemicals (% of value added in manufacturing)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Children out of school (% of primary school age)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Coal rents (% of GDP)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.796, p=0.000\n", + "NGA-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.763, p=0.000\n", + "NGA-Commercial service exports (current US$)\n", + "Statistical=0.714, p=0.000\n", + "NGA-Commercial service imports (current US$)\n", + "Statistical=0.928, p=0.034\n", + "NGA-Completeness of birth registration (%)\n", + "Statistical=0.789, p=0.000\n", + "NGA-Consumer price index (2010 = 100)\n", + "Statistical=0.932, p=0.044\n", + "NGA-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.802, p=0.000\n", + "NGA-Crop production index (2014-2016 = 100)\n", + "Statistical=0.932, p=0.045\n", + "NGA-Current account balance (% of GDP)\n", + "Statistical=0.928, p=0.034\n", + "NGA-Current account balance (BoP, current US$)\n", + "Statistical=0.922, p=0.024\n", + "NGA-Current health expenditure (% of GDP)\n", + "Statistical=0.882, p=0.002\n", + "NGA-Current health expenditure per capita (current US$)\n", + "Statistical=0.882, p=0.002\n", + "NGA-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.853, p=0.000\n", + "NGA-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.852, p=0.000\n", + "NGA-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.852, p=0.000\n", + "NGA-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.927, p=0.033\n", + "NGA-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.813, p=0.000\n", + "NGA-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.791, p=0.000\n", + "NGA-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.899, p=0.006\n", + "NGA-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.832, p=0.000\n", + "NGA-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.853, p=0.000\n", + "NGA-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.828, p=0.000\n", + "NGA-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.822, p=0.000\n", + "NGA-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.822, p=0.000\n", + "NGA-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.788, p=0.000\n", + "NGA-Electric power consumption (kWh per capita)\n", + "Statistical=0.904, p=0.008\n", + "NGA-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.874, p=0.001\n", + "NGA-Electricity production from coal sources (% of total)\n", + "Statistical=0.905, p=0.008\n", + "NGA-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.927, p=0.032\n", + "NGA-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.893, p=0.004\n", + "NGA-Electricity production from nuclear sources (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Electricity production from oil sources (% of total)\n", + "Statistical=0.883, p=0.002\n", + "NGA-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.728, p=0.000\n", + "NGA-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.694, p=0.000\n", + "NGA-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.791, p=0.000\n", + "NGA-Energy related methane emissions (% of total)\n", + "Statistical=0.729, p=0.000\n", + "NGA-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.860, p=0.001\n", + "NGA-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.877, p=0.002\n", + "NGA-Export unit value index (2000 = 100)\n", + "Statistical=0.964, p=0.349\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Export value index (2000 = 100)\n", + "Statistical=0.736, p=0.000\n", + "NGA-Export volume index (2000 = 100)\n", + "Statistical=0.811, p=0.000\n", + "NGA-Exports of goods and services (% of GDP)\n", + "Statistical=0.771, p=0.000\n", + "NGA-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.878, p=0.002\n", + "NGA-Exports of goods and services (current US$)\n", + "Statistical=0.801, p=0.000\n", + "NGA-External balance on goods and services (% of GDP)\n", + "Statistical=0.974, p=0.617\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-External balance on goods and services (current US$)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.511, p=0.000\n", + "NGA-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.879, p=0.002\n", + "NGA-Final consumption expenditure (% of GDP)\n", + "Statistical=0.879, p=0.002\n", + "NGA-Final consumption expenditure (current US$)\n", + "Statistical=0.844, p=0.000\n", + "NGA-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.924, p=0.027\n", + "NGA-Firms offering formal training (% of firms)\n", + "Statistical=0.963, p=0.338\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.917, p=0.017\n", + "NGA-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.861, p=0.001\n", + "NGA-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.860, p=0.001\n", + "NGA-Fixed broadband subscriptions\n", + "Statistical=0.898, p=0.006\n", + "NGA-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.843, p=0.000\n", + "NGA-Fixed telephone subscriptions\n", + "Statistical=0.911, p=0.012\n", + "NGA-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.823, p=0.000\n", + "NGA-Food exports (% of merchandise exports)\n", + "Statistical=0.844, p=0.000\n", + "NGA-Food imports (% of merchandise imports)\n", + "Statistical=0.928, p=0.034\n", + "NGA-Food production index (2014-2016 = 100)\n", + "Statistical=0.923, p=0.025\n", + "NGA-Forest area (% of land area)\n", + "Statistical=0.897, p=0.005\n", + "NGA-Forest area (sq. km)\n", + "Statistical=0.921, p=0.023\n", + "NGA-Forest rents (% of GDP)\n", + "Statistical=0.949, p=0.134\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.842, p=0.000\n", + "NGA-Fuel exports (% of merchandise exports)\n", + "Statistical=0.827, p=0.000\n", + "NGA-Fuel imports (% of merchandise imports)\n", + "Statistical=0.851, p=0.000\n", + "NGA-GDP (current US$)\n", + "Statistical=0.961, p=0.299\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-GDP deflator (base year varies by country)\n", + "Statistical=0.921, p=0.022\n", + "NGA-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.851, p=0.000\n", + "NGA-GDP growth (annual %)\n", + "Statistical=0.829, p=0.000\n", + "NGA-GDP per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.452, p=0.000\n", + "NGA-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.854, p=0.001\n", + "NGA-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.862, p=0.001\n", + "NGA-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.783, p=0.000\n", + "NGA-GNI (current US$)\n", + "Statistical=0.747, p=0.000\n", + "NGA-GNI growth (annual %)\n", + "Statistical=0.718, p=0.000\n", + "NGA-GNI per capita growth (annual %)\n", + "Statistical=0.822, p=0.000\n", + "NGA-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.974, p=0.610\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-General government final consumption expenditure (current US$)\n", + "Statistical=0.967, p=0.414\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Gini index\n", + "Statistical=0.984, p=0.902\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Goods exports (BoP, current US$)\n", + "Statistical=0.853, p=0.000\n", + "NGA-Goods imports (BoP, current US$)\n", + "Statistical=0.863, p=0.001\n", + "NGA-Grants and other revenue (% of revenue)\n", + "Statistical=0.801, p=0.000\n", + "NGA-Gross capital formation (% of GDP)\n", + "Statistical=0.945, p=0.105\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Gross capital formation (current US$)\n", + "Statistical=0.877, p=0.002\n", + "NGA-Gross domestic savings (% of GDP)\n", + "Statistical=0.762, p=0.000\n", + "NGA-Gross domestic savings (current US$)\n", + "Statistical=0.964, p=0.354\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.708, p=0.000\n", + "NGA-Gross fixed capital formation (current US$)\n", + "Statistical=0.589, p=0.000\n", + "NGA-Gross national expenditure (% of GDP)\n", + "Statistical=0.603, p=0.000\n", + "NGA-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.707, p=0.000\n", + "NGA-Gross savings (% of GDP)\n", + "Statistical=0.950, p=0.146\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Gross savings (current US$)\n", + "Statistical=0.864, p=0.001\n", + "NGA-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.839, p=0.000\n", + "NGA-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.954, p=0.185\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-High-technology exports (% of manufactured exports)\n", + "Statistical=0.852, p=0.000\n", + "NGA-High-technology exports (current US$)\n", + "Statistical=0.883, p=0.002\n", + "NGA-Hospital beds (per 1,000 people)\n", + "Statistical=0.897, p=0.005\n", + "NGA-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.886, p=0.003\n", + "NGA-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.522, p=0.000\n", + "NGA-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.522, p=0.000\n", + "NGA-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.522, p=0.000\n", + "NGA-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.950, p=0.143\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.972, p=0.555\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.951, p=0.155\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-ICT goods exports (% of total goods exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-ICT goods imports (% total goods imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.875, p=0.002\n", + "NGA-ICT service exports (BoP, current US$)\n", + "Statistical=0.842, p=0.000\n", + "NGA-Import unit value index (2000 = 100)\n", + "Statistical=0.677, p=0.000\n", + "NGA-Import value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Import volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Imports of goods and services (% of GDP)\n", + "Statistical=0.931, p=0.043\n", + "NGA-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.875, p=0.001\n", + "NGA-Imports of goods and services (current US$)\n", + "Statistical=0.986, p=0.940\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=0.438, p=0.000\n", + "NGA-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "NGA-Income share held by highest 10%\n", + "Statistical=0.580, p=0.000\n", + "NGA-Income share held by highest 20%\n", + "Statistical=0.678, p=0.000\n", + "NGA-Income share held by lowest 10%\n", + "Statistical=0.958, p=0.244\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Income share held by lowest 20%\n", + "Statistical=0.947, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Income share held by second 20%\n", + "Statistical=0.739, p=0.000\n", + "NGA-Income share held by third 20%\n", + "Statistical=0.874, p=0.001\n", + "NGA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.857, p=0.001\n", + "NGA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.838, p=0.000\n", + "NGA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.866, p=0.001\n", + "NGA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.867, p=0.001\n", + "NGA-Individuals using the Internet (% of population)\n", + "Statistical=0.841, p=0.000\n", + "NGA-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.835, p=0.000\n", + "NGA-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.448, p=0.000\n", + "NGA-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Intentional homicides (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Interest payments (% of revenue)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-International migrant stock (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NGA-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Labor tax and contributions (% of commercial profits)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Land area (sq. km)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Land under cereal production (hectares)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.880, p=0.002\n", + "NGA-Lifetime risk of maternal death (%)\n", + "Statistical=0.882, p=0.002\n", + "NGA-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.861, p=0.001\n", + "NGA-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.877, p=0.002\n", + "NGA-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.555, p=0.000\n", + "NGA-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.861, p=0.001\n", + "NGA-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.834, p=0.000\n", + "NGA-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Low-birthweight babies (% of births)\n", + "Statistical=0.893, p=0.004\n", + "NGA-Lower secondary school starting age (years)\n", + "Statistical=0.879, p=0.002\n", + "NGA-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.877, p=0.002\n", + "NGA-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.869, p=0.001\n", + "NGA-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Marine protected areas (% of territorial waters)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.883, p=0.002\n", + "NGA-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.891, p=0.004\n", + "NGA-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.855, p=0.001\n", + "NGA-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.682, p=0.000\n", + "NGA-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.833, p=0.000\n", + "NGA-Merchandise exports (current US$)\n", + "Statistical=0.762, p=0.000\n", + "NGA-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.707, p=0.000\n", + "NGA-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.671, p=0.000\n", + "NGA-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.676, p=0.000\n", + "NGA-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.735, p=0.000\n", + "NGA-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.632, p=0.000\n", + "NGA-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.962, p=0.313\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.639, p=0.000\n", + "NGA-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.818, p=0.000\n", + "NGA-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.637, p=0.000\n", + "NGA-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.900, p=0.006\n", + "NGA-Merchandise imports (current US$)\n", + "Statistical=0.802, p=0.000\n", + "NGA-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.679, p=0.000\n", + "NGA-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.927, p=0.033\n", + "NGA-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.842, p=0.000\n", + "NGA-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.893, p=0.004\n", + "NGA-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.873, p=0.001\n", + "NGA-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.966, p=0.397\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.897, p=0.005\n", + "NGA-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.978, p=0.734\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.916, p=0.016\n", + "NGA-Merchandise trade (% of GDP)\n", + "Statistical=0.968, p=0.441\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Methane emissions (% change from 1990)\n", + "Statistical=0.883, p=0.002\n", + "NGA-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.883, p=0.002\n", + "NGA-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.883, p=0.002\n", + "NGA-Military expenditure (% of GDP)\n", + "Statistical=0.898, p=0.005\n", + "NGA-Military expenditure (% of general government expenditure)\n", + "Statistical=0.915, p=0.015\n", + "NGA-Military expenditure (current USD)\n", + "Statistical=0.962, p=0.314\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Mineral rents (% of GDP)\n", + "Statistical=0.686, p=0.000\n", + "NGA-Mobile cellular subscriptions\n", + "Statistical=0.897, p=0.005\n", + "NGA-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.903, p=0.008\n", + "NGA-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.754, p=0.000\n", + "NGA-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.833, p=0.000\n", + "NGA-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.908, p=0.010\n", + "NGA-Natural gas rents (% of GDP)\n", + "Statistical=0.962, p=0.305\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.928, p=0.034\n", + "NGA-Net capital account (BoP, current US$)\n", + "Statistical=0.866, p=0.001\n", + "NGA-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.953, p=0.175\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Net financial account (BoP, current US$)\n", + "Statistical=0.974, p=0.609\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Net migration\n", + "Statistical=0.863, p=0.001\n", + "NGA-Net primary income (BoP, current US$)\n", + "Statistical=0.863, p=0.001\n", + "NGA-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.811, p=0.000\n", + "NGA-Net secondary income (BoP, current US$)\n", + "Statistical=0.847, p=0.000\n", + "NGA-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.694, p=0.000\n", + "NGA-Net trade in goods (BoP, current US$)\n", + "Statistical=0.694, p=0.000\n", + "NGA-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.694, p=0.000\n", + "NGA-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.694, p=0.000\n", + "NGA-New businesses registered (number)\n", + "Statistical=0.694, p=0.000\n", + "NGA-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.764, p=0.000\n", + "NGA-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.765, p=0.000\n", + "NGA-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.868, p=0.001\n", + "NGA-Number of deaths ages 10-14 years\n", + "Statistical=0.911, p=0.012\n", + "NGA-Number of deaths ages 15-19 years\n", + "Statistical=0.880, p=0.002\n", + "NGA-Number of deaths ages 20-24 years\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Number of deaths ages 5-9 years\n", + "Statistical=0.950, p=0.141\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Number of infant deaths\n", + "Statistical=0.574, p=0.000\n", + "NGA-Number of maternal deaths\n", + "Statistical=0.885, p=0.003\n", + "NGA-Number of neonatal deaths\n", + "Statistical=0.961, p=0.289\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Number of under-five deaths\n", + "Statistical=0.865, p=0.001\n", + "NGA-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.958, p=0.242\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.899, p=0.006\n", + "NGA-Oil rents (% of GDP)\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.842, p=0.000\n", + "NGA-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.923, p=0.025\n", + "NGA-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.917, p=0.018\n", + "NGA-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.761, p=0.000\n", + "NGA-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.846, p=0.000\n", + "NGA-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.846, p=0.000\n", + "NGA-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.835, p=0.000\n", + "NGA-People using at least basic drinking water services (% of population)\n", + "Statistical=0.857, p=0.001\n", + "NGA-People using at least basic sanitation services (% of population)\n", + "Statistical=0.901, p=0.007\n", + "NGA-People using safely managed sanitation services (% of population)\n", + "Statistical=0.892, p=0.004\n", + "NGA-Permanent cropland (% of land area)\n", + "Statistical=0.953, p=0.177\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Physicians (per 1,000 people)\n", + "Statistical=0.864, p=0.001\n", + "NGA-Population ages 0-14 (% of total population)\n", + "Statistical=0.864, p=0.001\n", + "NGA-Population ages 15-64 (% of total population)\n", + "Statistical=0.865, p=0.001\n", + "NGA-Population ages 65 and above (% of total population)\n", + "Statistical=0.879, p=0.002\n", + "NGA-Population density (people per sq. km of land area)\n", + "Statistical=0.952, p=0.166\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Population growth (annual %)\n", + "Statistical=0.864, p=0.001\n", + "NGA-Population in largest city\n", + "Statistical=0.833, p=0.000\n", + "NGA-Population in the largest city (% of urban population)\n", + "Statistical=0.847, p=0.000\n", + "NGA-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.830, p=0.000\n", + "NGA-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.834, p=0.000\n", + "NGA-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.846, p=0.000\n", + "NGA-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.862, p=0.001\n", + "NGA-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.827, p=0.000\n", + "NGA-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.843, p=0.000\n", + "NGA-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.843, p=0.000\n", + "NGA-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.833, p=0.000\n", + "NGA-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.856, p=0.001\n", + "NGA-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.982, p=0.864\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.866, p=0.001\n", + "NGA-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.866, p=0.001\n", + "NGA-Prevalence of undernourishment (% of population)\n", + "Statistical=0.863, p=0.001\n", + "NGA-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.981, p=0.839\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Primary income payments (BoP, current US$)\n", + "Statistical=0.864, p=0.001\n", + "NGA-Primary income receipts (BoP, current US$)\n", + "Statistical=0.866, p=0.001\n", + "NGA-Primary school starting age (years)\n", + "Statistical=0.837, p=0.000\n", + "NGA-Private credit bureau coverage (% of adults)\n", + "Statistical=0.843, p=0.000\n", + "NGA-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.843, p=0.000\n", + "NGA-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.859, p=0.001\n", + "NGA-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.825, p=0.000\n", + "NGA-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.870, p=0.001\n", + "NGA-Procedures to build a warehouse (number)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Procedures to register property (number)\n", + "Statistical=0.836, p=0.000\n", + "NGA-Profit tax (% of commercial profits)\n", + "Statistical=0.836, p=0.000\n", + "NGA-Progression to secondary school (%)\n", + "Statistical=0.798, p=0.000\n", + "NGA-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.808, p=0.000\n", + "NGA-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.852, p=0.000\n", + "NGA-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.907, p=0.009\n", + "NGA-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.886, p=0.003\n", + "NGA-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.446, p=0.000\n", + "NGA-Public credit registry coverage (% of adults)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Pump price for gasoline (US$ per liter)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Rail lines (total route-km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.835, p=0.000\n", + "NGA-Refugee population by country or territory of asylum\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Refugee population by country or territory of origin\n", + "Statistical=0.975, p=0.634\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.920, p=0.020\n", + "NGA-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.920, p=0.020\n", + "NGA-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.851, p=0.000\n", + "NGA-Research and development expenditure (% of GDP)\n", + "Statistical=0.888, p=0.003\n", + "NGA-Researchers in R&D (per million people)\n", + "Statistical=0.837, p=0.000\n", + "NGA-Reserves and related items (BoP, current US$)\n", + "Statistical=0.953, p=0.175\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.881, p=0.002\n", + "NGA-Rural land area (sq. km)\n", + "Statistical=0.924, p=0.026\n", + "NGA-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.930, p=0.040\n", + "NGA-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.973, p=0.578\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Rural population\n", + "Statistical=0.924, p=0.026\n", + "NGA-Rural population (% of total population)\n", + "Statistical=0.924, p=0.026\n", + "NGA-Rural population growth (annual %)\n", + "Statistical=0.878, p=0.002\n", + "NGA-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.884, p=0.002\n", + "NGA-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.840, p=0.000\n", + "NGA-Scientific and technical journal articles\n", + "Statistical=0.793, p=0.000\n", + "NGA-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.814, p=0.000\n", + "NGA-Secure Internet servers\n", + "Statistical=0.961, p=0.291\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Secure Internet servers (per 1 million people)\n", + "Statistical=0.869, p=0.001\n", + "NGA-Service exports (BoP, current US$)\n", + "Statistical=0.871, p=0.001\n", + "NGA-Service imports (BoP, current US$)\n", + "Statistical=0.817, p=0.000\n", + "NGA-Sex ratio at birth (male births per female births)\n", + "Statistical=0.847, p=0.000\n", + "NGA-Social contributions (% of revenue)\n", + "Statistical=0.856, p=0.001\n", + "NGA-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Start-up procedures to register a business (number)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.868, p=0.001\n", + "NGA-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.909, p=0.011\n", + "NGA-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.845, p=0.000\n", + "NGA-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.845, p=0.000\n", + "NGA-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.835, p=0.000\n", + "NGA-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.857, p=0.001\n", + "NGA-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.720, p=0.000\n", + "NGA-Surface area (sq. km)\n", + "Statistical=0.632, p=0.000\n", + "NGA-Tax payments (number)\n", + "Statistical=0.737, p=0.000\n", + "NGA-Tax revenue (% of GDP)\n", + "Statistical=0.958, p=0.239\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Taxes less subsidies on products (current US$)\n", + "Statistical=0.859, p=0.001\n", + "NGA-Taxes on goods and services (% of revenue)\n", + "Statistical=0.859, p=0.001\n", + "NGA-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.804, p=0.000\n", + "NGA-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.853, p=0.000\n", + "NGA-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.873, p=0.001\n", + "NGA-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.958, p=0.244\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Time required to build a warehouse (days)\n", + "Statistical=0.859, p=0.001\n", + "NGA-Time required to enforce a contract (days)\n", + "Statistical=0.832, p=0.000\n", + "NGA-Time required to get electricity (days)\n", + "Statistical=0.977, p=0.718\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Time required to register property (days)\n", + "Statistical=0.797, p=0.000\n", + "NGA-Time required to start a business (days)\n", + "Statistical=0.404, p=0.000\n", + "NGA-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.402, p=0.000\n", + "NGA-Time to obtain an electrical connection (days)\n", + "Statistical=0.401, p=0.000\n", + "NGA-Time to prepare and pay taxes (hours)\n", + "Statistical=0.403, p=0.000\n", + "NGA-Time to resolve insolvency (years)\n", + "Statistical=0.403, p=0.000\n", + "NGA-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.401, p=0.000\n", + "NGA-Total fisheries production (metric tons)\n", + "Statistical=0.404, p=0.000\n", + "NGA-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.399, p=0.000\n", + "NGA-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.404, p=0.000\n", + "NGA-Total natural resources rents (% of GDP)\n", + "Statistical=0.685, p=0.000\n", + "NGA-Total reserves (includes gold, current US$)\n", + "Statistical=0.869, p=0.001\n", + "NGA-Total reserves in months of imports\n", + "Statistical=0.708, p=0.000\n", + "NGA-Total reserves minus gold (current US$)\n", + "Statistical=0.654, p=0.000\n", + "NGA-Total tax and contribution rate (% of profit)\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Trade (% of GDP)\n", + "Statistical=0.778, p=0.000\n", + "NGA-Trade in services (% of GDP)\n", + "Statistical=0.949, p=0.134\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Transport services (% of commercial service exports)\n", + "Statistical=0.930, p=0.040\n", + "NGA-Transport services (% of commercial service imports)\n", + "Statistical=0.836, p=0.000\n", + "NGA-Transport services (% of service exports, BoP)\n", + "Statistical=0.876, p=0.002\n", + "NGA-Transport services (% of service imports, BoP)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Travel services (% of commercial service exports)\n", + "Statistical=0.884, p=0.002\n", + "NGA-Travel services (% of commercial service imports)\n", + "Statistical=0.942, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Travel services (% of service exports, BoP)\n", + "Statistical=0.916, p=0.017\n", + "NGA-Travel services (% of service imports, BoP)\n", + "Statistical=0.916, p=0.017\n", + "NGA-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.822, p=0.000\n", + "NGA-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.881, p=0.002\n", + "NGA-UHC service coverage index\n", + "Statistical=0.875, p=0.002\n", + "NGA-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.790, p=0.000\n", + "NGA-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.830, p=0.000\n", + "NGA-Urban land area (sq. km)\n", + "Statistical=0.875, p=0.001\n", + "NGA-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.814, p=0.000\n", + "NGA-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.812, p=0.000\n", + "NGA-Urban population\n", + "Statistical=0.856, p=0.001\n", + "NGA-Urban population (% of total population)\n", + "Statistical=0.910, p=0.011\n", + "NGA-Urban population growth (annual %)\n", + "Statistical=0.795, p=0.000\n", + "NGA-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.795, p=0.000\n", + "NGA-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.741, p=0.000\n", + "NGA-GDP (current US$)+1\n", + "Statistical=0.741, p=0.000\n", + "NGA-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-GDP (current US$)+2\n", + "Statistical=0.698, p=0.000\n", + "NGA-GDP (current US$)+3\n", + "Statistical=0.453, p=0.000\n", + "NGA-GDP (current US$)+5\n", + "Statistical=0.952, p=0.159\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-GDP (current US$)+8\n", + "Statistical=0.977, p=0.694\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-GDP (current US$)+13\n", + "Statistical=0.927, p=0.033\n", + "NGA-GDP (current US$)+21\n", + "Statistical=0.927, p=0.033\n", + "NGA-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.820, p=0.000\n", + "NGA-Deposit interest rate (%)\n", + "Statistical=0.863, p=0.001\n", + "NGA-Other taxes (% of revenue)\n", + "Statistical=0.956, p=0.212\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.895, p=0.005\n", + "NGA-Taxes on international trade (% of revenue)\n", + "Statistical=0.879, p=0.002\n", + "NGA-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.978, p=0.754\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Broad money (% of GDP)\n", + "Statistical=0.812, p=0.000\n", + "NGA-Broad money growth (annual %)\n", + "Statistical=0.947, p=0.120\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Broad money to total reserves ratio\n", + "Statistical=0.859, p=0.001\n", + "NGA-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-External health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-External health expenditure per capita (current US$)\n", + "Statistical=0.589, p=0.000\n", + "NGA-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.849, p=0.000\n", + "NGA-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.819, p=0.000\n", + "NGA-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.927, p=0.032\n", + "NGA-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.849, p=0.000\n", + "NGA-People practicing open defecation (% of population)\n", + "Statistical=0.769, p=0.000\n", + "NGA-Taxes on exports (% of tax revenue)\n", + "Statistical=0.839, p=0.000\n", + "NGA-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.848, p=0.000\n", + "NGA-Country\n", + "Statistical=0.976, p=0.685\n", + "Data is NORMAL ( H0 not denied )\n", + "NGA-Year\n", + "Statistical=0.827, p=0.000\n", + "NGA-Continent\n", + "Statistical=0.858, p=0.001\n", + "GHA-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Adjusted net national income (current US$)\n", + "Statistical=0.800, p=0.000\n", + "GHA-Adjusted net national income per capita (current US$)\n", + "Statistical=0.819, p=0.000\n", + "GHA-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.796, p=0.000\n", + "GHA-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.916, p=0.016\n", + "GHA-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.888, p=0.003\n", + "GHA-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.928, p=0.034\n", + "GHA-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.604, p=0.000\n", + "GHA-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.612, p=0.000\n", + "GHA-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.595, p=0.000\n", + "GHA-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.602, p=0.000\n", + "GHA-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.615, p=0.000\n", + "GHA-Age dependency ratio (% of working-age population)\n", + "Statistical=0.583, p=0.000\n", + "GHA-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.592, p=0.000\n", + "GHA-Agricultural land (% of land area)\n", + "Statistical=0.557, p=0.000\n", + "GHA-Agricultural land (sq. km)\n", + "Statistical=0.611, p=0.000\n", + "GHA-Agricultural methane emissions (% of total)\n", + "Statistical=0.823, p=0.000\n", + "GHA-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.819, p=0.000\n", + "GHA-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.825, p=0.000\n", + "GHA-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.750, p=0.000\n", + "GHA-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.732, p=0.000\n", + "GHA-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.809, p=0.000\n", + "GHA-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.758, p=0.000\n", + "GHA-Aquaculture production (metric tons)\n", + "Statistical=0.731, p=0.000\n", + "GHA-Arable land (% of land area)\n", + "Statistical=0.827, p=0.000\n", + "GHA-Arable land (hectares per person)\n", + "Statistical=0.958, p=0.236\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Arable land (hectares)\n", + "Statistical=0.893, p=0.004\n", + "GHA-Armed forces personnel (% of total labor force)\n", + "Statistical=0.948, p=0.129\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.909, p=0.011\n", + "GHA-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.881, p=0.002\n", + "GHA-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.830, p=0.000\n", + "GHA-Average precipitation in depth (mm per year)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Average time to clear exports through customs (days)\n", + "Statistical=0.806, p=0.000\n", + "GHA-Births attended by skilled health staff (% of total)\n", + "Statistical=0.886, p=0.003\n", + "GHA-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.837, p=0.000\n", + "GHA-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.950, p=0.142\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.801, p=0.000\n", + "GHA-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.926, p=0.030\n", + "GHA-CO2 emissions (kt)\n", + "Statistical=0.970, p=0.503\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-CO2 emissions (metric tons per capita)\n", + "Statistical=0.763, p=0.000\n", + "GHA-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.925, p=0.028\n", + "GHA-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.818, p=0.000\n", + "GHA-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.918, p=0.018\n", + "GHA-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.862, p=0.001\n", + "GHA-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.903, p=0.007\n", + "GHA-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.826, p=0.000\n", + "GHA-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.837, p=0.000\n", + "GHA-Capture fisheries production (metric tons)\n", + "Statistical=0.819, p=0.000\n", + "GHA-Cereal production (metric tons)\n", + "Statistical=0.915, p=0.015\n", + "GHA-Cereal yield (kg per hectare)\n", + "Statistical=0.913, p=0.014\n", + "GHA-Changes in inventories (current US$)\n", + "Statistical=0.920, p=0.021\n", + "GHA-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.723, p=0.000\n", + "GHA-Children out of school (% of primary school age)\n", + "Statistical=0.835, p=0.000\n", + "GHA-Coal rents (% of GDP)\n", + "Statistical=0.835, p=0.000\n", + "GHA-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.833, p=0.000\n", + "GHA-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.655, p=0.000\n", + "GHA-Commercial service exports (current US$)\n", + "Statistical=0.779, p=0.000\n", + "GHA-Commercial service imports (current US$)\n", + "Statistical=0.921, p=0.022\n", + "GHA-Completeness of birth registration (%)\n", + "Statistical=0.798, p=0.000\n", + "GHA-Consumer price index (2010 = 100)\n", + "Statistical=0.919, p=0.019\n", + "GHA-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.906, p=0.009\n", + "GHA-Crop production index (2014-2016 = 100)\n", + "Statistical=0.834, p=0.000\n", + "GHA-Current account balance (% of GDP)\n", + "Statistical=0.908, p=0.010\n", + "GHA-Current account balance (BoP, current US$)\n", + "Statistical=0.740, p=0.000\n", + "GHA-Current health expenditure (% of GDP)\n", + "Statistical=0.742, p=0.000\n", + "GHA-Current health expenditure per capita (current US$)\n", + "Statistical=0.742, p=0.000\n", + "GHA-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.739, p=0.000\n", + "GHA-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.841, p=0.000\n", + "GHA-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.689, p=0.000\n", + "GHA-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.865, p=0.001\n", + "GHA-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.880, p=0.002\n", + "GHA-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.829, p=0.000\n", + "GHA-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.900, p=0.006\n", + "GHA-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.838, p=0.000\n", + "GHA-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.865, p=0.001\n", + "GHA-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.875, p=0.002\n", + "GHA-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.913, p=0.014\n", + "GHA-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.913, p=0.014\n", + "GHA-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.723, p=0.000\n", + "GHA-Electric power consumption (kWh per capita)\n", + "Statistical=0.818, p=0.000\n", + "GHA-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Electricity production from coal sources (% of total)\n", + "Statistical=0.818, p=0.000\n", + "GHA-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.956, p=0.216\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.773, p=0.000\n", + "GHA-Electricity production from nuclear sources (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Electricity production from oil sources (% of total)\n", + "Statistical=0.940, p=0.076\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.626, p=0.000\n", + "GHA-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.820, p=0.000\n", + "GHA-Energy related methane emissions (% of total)\n", + "Statistical=0.772, p=0.000\n", + "GHA-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.828, p=0.000\n", + "GHA-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.962, p=0.311\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Export unit value index (2000 = 100)\n", + "Statistical=0.803, p=0.000\n", + "GHA-Export value index (2000 = 100)\n", + "Statistical=0.817, p=0.000\n", + "GHA-Export volume index (2000 = 100)\n", + "Statistical=0.701, p=0.000\n", + "GHA-Exports of goods and services (% of GDP)\n", + "Statistical=0.672, p=0.000\n", + "GHA-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.967, p=0.411\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Exports of goods and services (current US$)\n", + "Statistical=0.722, p=0.000\n", + "GHA-External balance on goods and services (% of GDP)\n", + "Statistical=0.953, p=0.177\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-External balance on goods and services (current US$)\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Final consumption expenditure (% of GDP)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Final consumption expenditure (current US$)\n", + "Statistical=0.866, p=0.001\n", + "GHA-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.894, p=0.004\n", + "GHA-Firms offering formal training (% of firms)\n", + "Statistical=0.913, p=0.014\n", + "GHA-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.838, p=0.000\n", + "GHA-Firms using banks to finance working capital (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Firms with female participation in ownership (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Fixed broadband subscriptions\n", + "Statistical=0.909, p=0.011\n", + "GHA-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.881, p=0.002\n", + "GHA-Fixed telephone subscriptions\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.881, p=0.002\n", + "GHA-Food exports (% of merchandise exports)\n", + "Statistical=0.867, p=0.001\n", + "GHA-Food imports (% of merchandise imports)\n", + "Statistical=0.588, p=0.000\n", + "GHA-Food production index (2014-2016 = 100)\n", + "Statistical=0.540, p=0.000\n", + "GHA-Forest area (% of land area)\n", + "Statistical=0.929, p=0.037\n", + "GHA-Forest area (sq. km)\n", + "Statistical=0.854, p=0.001\n", + "GHA-Forest rents (% of GDP)\n", + "Statistical=0.955, p=0.198\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.844, p=0.000\n", + "GHA-Fuel exports (% of merchandise exports)\n", + "Statistical=0.841, p=0.000\n", + "GHA-Fuel imports (% of merchandise imports)\n", + "Statistical=0.844, p=0.000\n", + "GHA-GDP (current US$)\n", + "Statistical=0.929, p=0.036\n", + "GHA-GDP deflator (base year varies by country)\n", + "Statistical=0.909, p=0.010\n", + "GHA-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.693, p=0.000\n", + "GHA-GDP growth (annual %)\n", + "Statistical=0.770, p=0.000\n", + "GHA-GDP per capita (current US$)\n", + "Statistical=0.438, p=0.000\n", + "GHA-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.827, p=0.000\n", + "GHA-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.823, p=0.000\n", + "GHA-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.821, p=0.000\n", + "GHA-GNI (current US$)\n", + "Statistical=0.823, p=0.000\n", + "GHA-GNI growth (annual %)\n", + "Statistical=0.819, p=0.000\n", + "GHA-GNI per capita growth (annual %)\n", + "Statistical=0.814, p=0.000\n", + "GHA-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.966, p=0.398\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-General government final consumption expenditure (current US$)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Gini index\n", + "Statistical=0.963, p=0.330\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Goods imports (BoP, current US$)\n", + "Statistical=0.839, p=0.000\n", + "GHA-Grants and other revenue (% of revenue)\n", + "Statistical=0.798, p=0.000\n", + "GHA-Gross capital formation (% of GDP)\n", + "Statistical=0.891, p=0.004\n", + "GHA-Gross capital formation (current US$)\n", + "Statistical=0.766, p=0.000\n", + "GHA-Gross domestic savings (% of GDP)\n", + "Statistical=0.859, p=0.001\n", + "GHA-Gross domestic savings (current US$)\n", + "Statistical=0.918, p=0.019\n", + "GHA-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.715, p=0.000\n", + "GHA-Gross fixed capital formation (current US$)\n", + "Statistical=0.569, p=0.000\n", + "GHA-Gross national expenditure (% of GDP)\n", + "Statistical=0.682, p=0.000\n", + "GHA-Gross national expenditure (current US$)\n", + "Statistical=0.637, p=0.000\n", + "GHA-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.829, p=0.000\n", + "GHA-Gross savings (% of GDP)\n", + "Statistical=0.813, p=0.000\n", + "GHA-Gross savings (current US$)\n", + "Statistical=0.834, p=0.000\n", + "GHA-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.711, p=0.000\n", + "GHA-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.946, p=0.112\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-High-technology exports (% of manufactured exports)\n", + "Statistical=0.959, p=0.265\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-High-technology exports (current US$)\n", + "Statistical=0.896, p=0.005\n", + "GHA-Hospital beds (per 1,000 people)\n", + "Statistical=0.885, p=0.003\n", + "GHA-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.889, p=0.003\n", + "GHA-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.775, p=0.000\n", + "GHA-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.775, p=0.000\n", + "GHA-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.775, p=0.000\n", + "GHA-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.982, p=0.866\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.883, p=0.002\n", + "GHA-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.830, p=0.000\n", + "GHA-ICT goods exports (% of total goods exports)\n", + "Statistical=0.766, p=0.000\n", + "GHA-ICT goods imports (% total goods imports)\n", + "Statistical=0.871, p=0.001\n", + "GHA-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.847, p=0.000\n", + "GHA-ICT service exports (BoP, current US$)\n", + "Statistical=0.840, p=0.000\n", + "GHA-Import unit value index (2000 = 100)\n", + "Statistical=0.840, p=0.000\n", + "GHA-Import value index (2000 = 100)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Import volume index (2000 = 100)\n", + "Statistical=0.759, p=0.000\n", + "GHA-Imports of goods and services (% of GDP)\n", + "Statistical=0.803, p=0.000\n", + "GHA-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.877, p=0.002\n", + "GHA-Imports of goods and services (current US$)\n", + "Statistical=0.859, p=0.001\n", + "GHA-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "GHA-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Income share held by lowest 10%\n", + "Statistical=0.865, p=0.001\n", + "GHA-Income share held by lowest 20%\n", + "Statistical=0.889, p=0.003\n", + "GHA-Income share held by second 20%\n", + "Statistical=0.859, p=0.001\n", + "GHA-Income share held by third 20%\n", + "Statistical=0.887, p=0.003\n", + "GHA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.779, p=0.000\n", + "GHA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.839, p=0.000\n", + "GHA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.837, p=0.000\n", + "GHA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.876, p=0.002\n", + "GHA-Individuals using the Internet (% of population)\n", + "Statistical=0.837, p=0.000\n", + "GHA-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.806, p=0.000\n", + "GHA-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.488, p=0.000\n", + "GHA-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Intentional homicides (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Interest payments (% of revenue)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-International migrant stock (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Labor tax and contributions (% of commercial profits)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Land area (sq. km)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Land under cereal production (hectares)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.867, p=0.001\n", + "GHA-Lifetime risk of maternal death (%)\n", + "Statistical=0.734, p=0.000\n", + "GHA-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.879, p=0.002\n", + "GHA-Livestock production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.897, p=0.005\n", + "GHA-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.952, p=0.167\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Low-birthweight babies (% of births)\n", + "Statistical=0.923, p=0.026\n", + "GHA-Lower secondary school starting age (years)\n", + "Statistical=0.749, p=0.000\n", + "GHA-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.746, p=0.000\n", + "GHA-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.787, p=0.000\n", + "GHA-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.930, p=0.040\n", + "GHA-Marine protected areas (% of territorial waters)\n", + "Statistical=0.932, p=0.046\n", + "GHA-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.806, p=0.000\n", + "GHA-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.785, p=0.000\n", + "GHA-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.787, p=0.000\n", + "GHA-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.775, p=0.000\n", + "GHA-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.922, p=0.023\n", + "GHA-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.903, p=0.008\n", + "GHA-Merchandise exports (current US$)\n", + "Statistical=0.906, p=0.009\n", + "GHA-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.871, p=0.001\n", + "GHA-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.917, p=0.017\n", + "GHA-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.914, p=0.014\n", + "GHA-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.921, p=0.022\n", + "GHA-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.950, p=0.147\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.909, p=0.010\n", + "GHA-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.919, p=0.019\n", + "GHA-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.887, p=0.003\n", + "GHA-Merchandise imports (current US$)\n", + "Statistical=0.808, p=0.000\n", + "GHA-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.769, p=0.000\n", + "GHA-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.953, p=0.176\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.774, p=0.000\n", + "GHA-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.842, p=0.000\n", + "GHA-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.829, p=0.000\n", + "GHA-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.800, p=0.000\n", + "GHA-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.864, p=0.001\n", + "GHA-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.738, p=0.000\n", + "GHA-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.976, p=0.690\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.826, p=0.000\n", + "GHA-Merchandise trade (% of GDP)\n", + "Statistical=0.689, p=0.000\n", + "GHA-Methane emissions (% change from 1990)\n", + "Statistical=0.732, p=0.000\n", + "GHA-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.732, p=0.000\n", + "GHA-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.710, p=0.000\n", + "GHA-Military expenditure (% of GDP)\n", + "Statistical=0.826, p=0.000\n", + "GHA-Military expenditure (% of general government expenditure)\n", + "Statistical=0.825, p=0.000\n", + "GHA-Military expenditure (current USD)\n", + "Statistical=0.978, p=0.754\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Mineral rents (% of GDP)\n", + "Statistical=0.582, p=0.000\n", + "GHA-Mobile cellular subscriptions\n", + "Statistical=0.835, p=0.000\n", + "GHA-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.869, p=0.001\n", + "GHA-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.906, p=0.009\n", + "GHA-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.856, p=0.001\n", + "GHA-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.835, p=0.000\n", + "GHA-Natural gas rents (% of GDP)\n", + "Statistical=0.955, p=0.196\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Net barter terms of trade index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Net capital account (BoP, current US$)\n", + "Statistical=0.881, p=0.002\n", + "GHA-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.951, p=0.156\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Net financial account (BoP, current US$)\n", + "Statistical=0.824, p=0.000\n", + "GHA-Net migration\n", + "Statistical=0.745, p=0.000\n", + "GHA-Net primary income (BoP, current US$)\n", + "Statistical=0.745, p=0.000\n", + "GHA-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.727, p=0.000\n", + "GHA-Net secondary income (BoP, current US$)\n", + "Statistical=0.817, p=0.000\n", + "GHA-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.687, p=0.000\n", + "GHA-Net trade in goods (BoP, current US$)\n", + "Statistical=0.687, p=0.000\n", + "GHA-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.687, p=0.000\n", + "GHA-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.687, p=0.000\n", + "GHA-New businesses registered (number)\n", + "Statistical=0.687, p=0.000\n", + "GHA-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.764, p=0.000\n", + "GHA-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.763, p=0.000\n", + "GHA-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.860, p=0.001\n", + "GHA-Number of deaths ages 10-14 years\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Number of deaths ages 15-19 years\n", + "Statistical=0.955, p=0.199\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Number of deaths ages 20-24 years\n", + "Statistical=0.969, p=0.478\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Number of deaths ages 5-9 years\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Number of infant deaths\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Number of maternal deaths\n", + "Statistical=0.773, p=0.000\n", + "GHA-Number of neonatal deaths\n", + "Statistical=0.927, p=0.032\n", + "GHA-Number of under-five deaths\n", + "Statistical=0.788, p=0.000\n", + "GHA-Nurses and midwives (per 1,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.951, p=0.153\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Oil rents (% of GDP)\n", + "Statistical=0.861, p=0.001\n", + "GHA-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.861, p=0.001\n", + "GHA-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.950, p=0.141\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.843, p=0.000\n", + "GHA-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.780, p=0.000\n", + "GHA-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.915, p=0.015\n", + "GHA-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.879, p=0.002\n", + "GHA-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.879, p=0.002\n", + "GHA-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.712, p=0.000\n", + "GHA-People using at least basic drinking water services (% of population)\n", + "Statistical=0.802, p=0.000\n", + "GHA-People using at least basic sanitation services (% of population)\n", + "Statistical=0.755, p=0.000\n", + "GHA-People using safely managed sanitation services (% of population)\n", + "Statistical=0.763, p=0.000\n", + "GHA-Permanent cropland (% of land area)\n", + "Statistical=0.965, p=0.364\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Physicians (per 1,000 people)\n", + "Statistical=0.864, p=0.001\n", + "GHA-Population ages 0-14 (% of total population)\n", + "Statistical=0.864, p=0.001\n", + "GHA-Population ages 15-64 (% of total population)\n", + "Statistical=0.725, p=0.000\n", + "GHA-Population ages 65 and above (% of total population)\n", + "Statistical=0.819, p=0.000\n", + "GHA-Population density (people per sq. km of land area)\n", + "Statistical=0.960, p=0.277\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Population growth (annual %)\n", + "Statistical=0.864, p=0.001\n", + "GHA-Population in largest city\n", + "Statistical=0.823, p=0.000\n", + "GHA-Population in the largest city (% of urban population)\n", + "Statistical=0.871, p=0.001\n", + "GHA-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.835, p=0.000\n", + "GHA-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.813, p=0.000\n", + "GHA-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.879, p=0.002\n", + "GHA-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.826, p=0.000\n", + "GHA-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.716, p=0.000\n", + "GHA-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.739, p=0.000\n", + "GHA-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.739, p=0.000\n", + "GHA-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.714, p=0.000\n", + "GHA-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.815, p=0.000\n", + "GHA-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.831, p=0.000\n", + "GHA-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.742, p=0.000\n", + "GHA-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.742, p=0.000\n", + "GHA-Prevalence of undernourishment (% of population)\n", + "Statistical=0.727, p=0.000\n", + "GHA-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.815, p=0.000\n", + "GHA-Primary income payments (BoP, current US$)\n", + "Statistical=0.812, p=0.000\n", + "GHA-Primary income receipts (BoP, current US$)\n", + "Statistical=0.742, p=0.000\n", + "GHA-Primary school starting age (years)\n", + "Statistical=0.839, p=0.000\n", + "GHA-Private credit bureau coverage (% of adults)\n", + "Statistical=0.801, p=0.000\n", + "GHA-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.739, p=0.000\n", + "GHA-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.837, p=0.000\n", + "GHA-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.718, p=0.000\n", + "GHA-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Procedures to build a warehouse (number)\n", + "Statistical=0.867, p=0.001\n", + "GHA-Procedures to register property (number)\n", + "Statistical=0.729, p=0.000\n", + "GHA-Profit tax (% of commercial profits)\n", + "Statistical=0.729, p=0.000\n", + "GHA-Progression to secondary school (%)\n", + "Statistical=0.737, p=0.000\n", + "GHA-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.812, p=0.000\n", + "GHA-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.863, p=0.001\n", + "GHA-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.802, p=0.000\n", + "GHA-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.871, p=0.001\n", + "GHA-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.854, p=0.000\n", + "GHA-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.826, p=0.000\n", + "GHA-Public credit registry coverage (% of adults)\n", + "Statistical=0.842, p=0.000\n", + "GHA-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.769, p=0.000\n", + "GHA-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.740, p=0.000\n", + "GHA-Rail lines (total route-km)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.754, p=0.000\n", + "GHA-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.925, p=0.028\n", + "GHA-Refugee population by country or territory of asylum\n", + "Statistical=0.964, p=0.355\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Refugee population by country or territory of origin\n", + "Statistical=0.782, p=0.000\n", + "GHA-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.779, p=0.000\n", + "GHA-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.779, p=0.000\n", + "GHA-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.666, p=0.000\n", + "GHA-Research and development expenditure (% of GDP)\n", + "Statistical=0.769, p=0.000\n", + "GHA-Researchers in R&D (per million people)\n", + "Statistical=0.735, p=0.000\n", + "GHA-Reserves and related items (BoP, current US$)\n", + "Statistical=0.951, p=0.156\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.615, p=0.000\n", + "GHA-Rural land area (sq. km)\n", + "Statistical=0.675, p=0.000\n", + "GHA-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.972, p=0.551\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.773, p=0.000\n", + "GHA-Rural population\n", + "Statistical=0.849, p=0.000\n", + "GHA-Rural population (% of total population)\n", + "Statistical=0.849, p=0.000\n", + "GHA-Rural population growth (annual %)\n", + "Statistical=0.665, p=0.000\n", + "GHA-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.778, p=0.000\n", + "GHA-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.781, p=0.000\n", + "GHA-Scientific and technical journal articles\n", + "Statistical=0.874, p=0.001\n", + "GHA-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.825, p=0.000\n", + "GHA-Secure Internet servers\n", + "Statistical=0.981, p=0.819\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Secure Internet servers (per 1 million people)\n", + "Statistical=0.748, p=0.000\n", + "GHA-Service exports (BoP, current US$)\n", + "Statistical=0.749, p=0.000\n", + "GHA-Service imports (BoP, current US$)\n", + "Statistical=0.718, p=0.000\n", + "GHA-Sex ratio at birth (male births per female births)\n", + "Statistical=0.808, p=0.000\n", + "GHA-Social contributions (% of revenue)\n", + "Statistical=0.684, p=0.000\n", + "GHA-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.925, p=0.029\n", + "GHA-Start-up procedures to register a business (number)\n", + "Statistical=0.907, p=0.009\n", + "GHA-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.658, p=0.000\n", + "GHA-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.716, p=0.000\n", + "GHA-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.731, p=0.000\n", + "GHA-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.731, p=0.000\n", + "GHA-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.712, p=0.000\n", + "GHA-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.804, p=0.000\n", + "GHA-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.637, p=0.000\n", + "GHA-Surface area (sq. km)\n", + "Statistical=0.556, p=0.000\n", + "GHA-Tax payments (number)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Tax revenue (% of GDP)\n", + "Statistical=0.791, p=0.000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GHA-Taxes less subsidies on products (current US$)\n", + "Statistical=0.747, p=0.000\n", + "GHA-Taxes on goods and services (% of revenue)\n", + "Statistical=0.747, p=0.000\n", + "GHA-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.732, p=0.000\n", + "GHA-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.817, p=0.000\n", + "GHA-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.721, p=0.000\n", + "GHA-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.707, p=0.000\n", + "GHA-Time required to build a warehouse (days)\n", + "Statistical=0.747, p=0.000\n", + "GHA-Time required to enforce a contract (days)\n", + "Statistical=0.827, p=0.000\n", + "GHA-Time required to get electricity (days)\n", + "Statistical=0.954, p=0.187\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Time required to register property (days)\n", + "Statistical=0.738, p=0.000\n", + "GHA-Time required to start a business (days)\n", + "Statistical=0.397, p=0.000\n", + "GHA-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.394, p=0.000\n", + "GHA-Time to obtain an electrical connection (days)\n", + "Statistical=0.401, p=0.000\n", + "GHA-Time to prepare and pay taxes (hours)\n", + "Statistical=0.391, p=0.000\n", + "GHA-Time to resolve insolvency (years)\n", + "Statistical=0.404, p=0.000\n", + "GHA-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.400, p=0.000\n", + "GHA-Total fisheries production (metric tons)\n", + "Statistical=0.404, p=0.000\n", + "GHA-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.399, p=0.000\n", + "GHA-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.385, p=0.000\n", + "GHA-Total natural resources rents (% of GDP)\n", + "Statistical=0.831, p=0.000\n", + "GHA-Total reserves (includes gold, current US$)\n", + "Statistical=0.773, p=0.000\n", + "GHA-Total reserves in months of imports\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Total reserves minus gold (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Total tax and contribution rate (% of profit)\n", + "Statistical=0.916, p=0.016\n", + "GHA-Trade (% of GDP)\n", + "Statistical=0.793, p=0.000\n", + "GHA-Trade in services (% of GDP)\n", + "Statistical=0.903, p=0.007\n", + "GHA-Transport services (% of commercial service exports)\n", + "Statistical=0.853, p=0.000\n", + "GHA-Transport services (% of commercial service imports)\n", + "Statistical=0.877, p=0.002\n", + "GHA-Transport services (% of service exports, BoP)\n", + "Statistical=0.912, p=0.013\n", + "GHA-Transport services (% of service imports, BoP)\n", + "Statistical=0.951, p=0.155\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Travel services (% of commercial service exports)\n", + "Statistical=0.838, p=0.000\n", + "GHA-Travel services (% of commercial service imports)\n", + "Statistical=0.796, p=0.000\n", + "GHA-Travel services (% of service exports, BoP)\n", + "Statistical=0.745, p=0.000\n", + "GHA-Travel services (% of service imports, BoP)\n", + "Statistical=0.745, p=0.000\n", + "GHA-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.730, p=0.000\n", + "GHA-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.838, p=0.000\n", + "GHA-UHC service coverage index\n", + "Statistical=0.840, p=0.000\n", + "GHA-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.828, p=0.000\n", + "GHA-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.828, p=0.000\n", + "GHA-Urban land area (sq. km)\n", + "Statistical=0.772, p=0.000\n", + "GHA-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.931, p=0.042\n", + "GHA-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.924, p=0.027\n", + "GHA-Urban population\n", + "Statistical=0.887, p=0.003\n", + "GHA-Urban population (% of total population)\n", + "Statistical=0.886, p=0.003\n", + "GHA-Urban population growth (annual %)\n", + "Statistical=0.723, p=0.000\n", + "GHA-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.723, p=0.000\n", + "GHA-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.835, p=0.000\n", + "GHA-GDP (current US$)+1\n", + "Statistical=0.835, p=0.000\n", + "GHA-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-GDP (current US$)+2\n", + "Statistical=0.482, p=0.000\n", + "GHA-GDP (current US$)+3\n", + "Statistical=0.459, p=0.000\n", + "GHA-GDP (current US$)+5\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-GDP (current US$)+8\n", + "Statistical=0.801, p=0.000\n", + "GHA-GDP (current US$)+13\n", + "Statistical=0.726, p=0.000\n", + "GHA-GDP (current US$)+21\n", + "Statistical=0.726, p=0.000\n", + "GHA-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.678, p=0.000\n", + "GHA-Deposit interest rate (%)\n", + "Statistical=0.762, p=0.000\n", + "GHA-Other taxes (% of revenue)\n", + "Statistical=0.761, p=0.000\n", + "GHA-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.923, p=0.026\n", + "GHA-Taxes on international trade (% of revenue)\n", + "Statistical=0.921, p=0.022\n", + "GHA-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.888, p=0.003\n", + "GHA-Broad money (% of GDP)\n", + "Statistical=0.855, p=0.001\n", + "GHA-Broad money growth (annual %)\n", + "Statistical=0.958, p=0.234\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Broad money to total reserves ratio\n", + "Statistical=0.862, p=0.001\n", + "GHA-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.818, p=0.000\n", + "GHA-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-External health expenditure (% of current health expenditure)\n", + "Statistical=0.645, p=0.000\n", + "GHA-External health expenditure per capita (current US$)\n", + "Statistical=0.703, p=0.000\n", + "GHA-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.845, p=0.000\n", + "GHA-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.901, p=0.007\n", + "GHA-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "GHA-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.858, p=0.001\n", + "GHA-People practicing open defecation (% of population)\n", + "Statistical=0.807, p=0.000\n", + "GHA-Taxes on exports (% of tax revenue)\n", + "Statistical=0.875, p=0.002\n", + "GHA-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.847, p=0.000\n", + "GHA-Country\n", + "Statistical=0.894, p=0.004\n", + "GHA-Year\n", + "Statistical=0.895, p=0.005\n", + "GHA-Continent\n", + "Statistical=0.844, p=0.000\n", + "BGD-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Adjusted net national income (current US$)\n", + "Statistical=0.775, p=0.000\n", + "BGD-Adjusted net national income per capita (current US$)\n", + "Statistical=0.751, p=0.000\n", + "BGD-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.769, p=0.000\n", + "BGD-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.906, p=0.009\n", + "BGD-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.961, p=0.287\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.535, p=0.000\n", + "BGD-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.534, p=0.000\n", + "BGD-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.544, p=0.000\n", + "BGD-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.546, p=0.000\n", + "BGD-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.569, p=0.000\n", + "BGD-Age dependency ratio (% of working-age population)\n", + "Statistical=0.573, p=0.000\n", + "BGD-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.590, p=0.000\n", + "BGD-Agricultural land (% of land area)\n", + "Statistical=0.616, p=0.000\n", + "BGD-Agricultural land (sq. km)\n", + "Statistical=0.528, p=0.000\n", + "BGD-Agricultural methane emissions (% of total)\n", + "Statistical=0.700, p=0.000\n", + "BGD-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.812, p=0.000\n", + "BGD-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.812, p=0.000\n", + "BGD-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.959, p=0.255\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.882, p=0.002\n", + "BGD-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.823, p=0.000\n", + "BGD-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.959, p=0.253\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Aquaculture production (metric tons)\n", + "Statistical=0.865, p=0.001\n", + "BGD-Arable land (% of land area)\n", + "Statistical=0.818, p=0.000\n", + "BGD-Arable land (hectares per person)\n", + "Statistical=0.908, p=0.010\n", + "BGD-Arable land (hectares)\n", + "Statistical=0.849, p=0.000\n", + "BGD-Armed forces personnel (% of total labor force)\n", + "Statistical=0.886, p=0.003\n", + "BGD-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.851, p=0.000\n", + "BGD-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.825, p=0.000\n", + "BGD-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.847, p=0.000\n", + "BGD-Average precipitation in depth (mm per year)\n", + "Statistical=0.962, p=0.310\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Average time to clear exports through customs (days)\n", + "Statistical=0.819, p=0.000\n", + "BGD-Births attended by skilled health staff (% of total)\n", + "Statistical=0.967, p=0.423\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.819, p=0.000\n", + "BGD-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.929, p=0.038\n", + "BGD-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.858, p=0.001\n", + "BGD-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.885, p=0.003\n", + "BGD-CO2 emissions (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-CO2 emissions (metric tons per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.862, p=0.001\n", + "BGD-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=0.931, p=0.042\n", + "BGD-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=0.837, p=0.000\n", + "BGD-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.898, p=0.005\n", + "BGD-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.848, p=0.000\n", + "BGD-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.908, p=0.010\n", + "BGD-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.844, p=0.000\n", + "BGD-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.891, p=0.004\n", + "BGD-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.842, p=0.000\n", + "BGD-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.794, p=0.000\n", + "BGD-Capture fisheries production (metric tons)\n", + "Statistical=0.825, p=0.000\n", + "BGD-Cereal production (metric tons)\n", + "Statistical=0.954, p=0.187\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Cereal yield (kg per hectare)\n", + "Statistical=0.867, p=0.001\n", + "BGD-Changes in inventories (current US$)\n", + "Statistical=0.950, p=0.141\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.753, p=0.000\n", + "BGD-Children out of school (% of primary school age)\n", + "Statistical=0.956, p=0.209\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Coal rents (% of GDP)\n", + "Statistical=0.956, p=0.209\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.801, p=0.000\n", + "BGD-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.770, p=0.000\n", + "BGD-Commercial service exports (current US$)\n", + "Statistical=0.815, p=0.000\n", + "BGD-Commercial service imports (current US$)\n", + "Statistical=0.885, p=0.003\n", + "BGD-Completeness of birth registration (%)\n", + "Statistical=0.892, p=0.004\n", + "BGD-Consumer price index (2010 = 100)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.865, p=0.001\n", + "BGD-Crop production index (2014-2016 = 100)\n", + "Statistical=0.955, p=0.204\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Current account balance (% of GDP)\n", + "Statistical=0.927, p=0.032\n", + "BGD-Current account balance (BoP, current US$)\n", + "Statistical=0.983, p=0.882\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Current health expenditure (% of GDP)\n", + "Statistical=0.909, p=0.011\n", + "BGD-Current health expenditure per capita (current US$)\n", + "Statistical=0.909, p=0.011\n", + "BGD-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.842, p=0.000\n", + "BGD-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.814, p=0.000\n", + "BGD-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.867, p=0.001\n", + "BGD-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.943, p=0.093\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.830, p=0.000\n", + "BGD-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.778, p=0.000\n", + "BGD-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.920, p=0.021\n", + "BGD-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Domestic private health expenditure per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.884, p=0.002\n", + "BGD-Electric power consumption (kWh per capita)\n", + "Statistical=0.847, p=0.000\n", + "BGD-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.884, p=0.002\n", + "BGD-Electricity production from coal sources (% of total)\n", + "Statistical=0.847, p=0.000\n", + "BGD-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.955, p=0.205\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.821, p=0.000\n", + "BGD-Electricity production from nuclear sources (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Electricity production from oil sources (% of total)\n", + "Statistical=0.885, p=0.003\n", + "BGD-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.726, p=0.000\n", + "BGD-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.687, p=0.000\n", + "BGD-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.877, p=0.002\n", + "BGD-Energy related methane emissions (% of total)\n", + "Statistical=0.765, p=0.000\n", + "BGD-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.793, p=0.000\n", + "BGD-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.930, p=0.038\n", + "BGD-Export unit value index (2000 = 100)\n", + "Statistical=0.835, p=0.000\n", + "BGD-Export value index (2000 = 100)\n", + "Statistical=0.784, p=0.000\n", + "BGD-Export volume index (2000 = 100)\n", + "Statistical=0.749, p=0.000\n", + "BGD-Exports of goods and services (% of GDP)\n", + "Statistical=0.789, p=0.000\n", + "BGD-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.871, p=0.001\n", + "BGD-Exports of goods and services (current US$)\n", + "Statistical=0.793, p=0.000\n", + "BGD-External balance on goods and services (% of GDP)\n", + "Statistical=0.960, p=0.277\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-External balance on goods and services (current US$)\n", + "Statistical=0.928, p=0.035\n", + "BGD-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.897, p=0.005\n", + "BGD-Final consumption expenditure (% of GDP)\n", + "Statistical=0.897, p=0.005\n", + "BGD-Final consumption expenditure (current US$)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.889, p=0.003\n", + "BGD-Firms offering formal training (% of firms)\n", + "Statistical=0.894, p=0.004\n", + "BGD-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.919, p=0.020\n", + "BGD-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.964, p=0.346\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.889, p=0.003\n", + "BGD-Fixed broadband subscriptions\n", + "Statistical=0.870, p=0.001\n", + "BGD-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.901, p=0.007\n", + "BGD-Fixed telephone subscriptions\n", + "Statistical=0.971, p=0.527\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.900, p=0.006\n", + "BGD-Food exports (% of merchandise exports)\n", + "Statistical=0.884, p=0.002\n", + "BGD-Food imports (% of merchandise imports)\n", + "Statistical=0.953, p=0.172\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Food production index (2014-2016 = 100)\n", + "Statistical=0.876, p=0.002\n", + "BGD-Forest area (% of land area)\n", + "Statistical=0.845, p=0.000\n", + "BGD-Forest area (sq. km)\n", + "Statistical=0.880, p=0.002\n", + "BGD-Forest rents (% of GDP)\n", + "Statistical=0.899, p=0.006\n", + "BGD-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.852, p=0.000\n", + "BGD-Fuel exports (% of merchandise exports)\n", + "Statistical=0.850, p=0.000\n", + "BGD-Fuel imports (% of merchandise imports)\n", + "Statistical=0.855, p=0.001\n", + "BGD-GDP (current US$)\n", + "Statistical=0.907, p=0.010\n", + "BGD-GDP deflator (base year varies by country)\n", + "Statistical=0.892, p=0.004\n", + "BGD-GDP deflator: linked series (base year varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-GDP growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-GDP per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.924, p=0.027\n", + "BGD-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.700, p=0.000\n", + "BGD-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.812, p=0.000\n", + "BGD-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.812, p=0.000\n", + "BGD-GNI (current US$)\n", + "Statistical=0.700, p=0.000\n", + "BGD-GNI growth (annual %)\n", + "Statistical=0.812, p=0.000\n", + "BGD-GNI per capita growth (annual %)\n", + "Statistical=0.812, p=0.000\n", + "BGD-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.960, p=0.267\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-General government final consumption expenditure (current US$)\n", + "Statistical=0.775, p=0.000\n", + "BGD-Gini index\n", + "Statistical=0.967, p=0.429\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Goods imports (BoP, current US$)\n", + "Statistical=0.891, p=0.004\n", + "BGD-Grants and other revenue (% of revenue)\n", + "Statistical=0.718, p=0.000\n", + "BGD-Gross capital formation (% of GDP)\n", + "Statistical=0.827, p=0.000\n", + "BGD-Gross capital formation (current US$)\n", + "Statistical=0.849, p=0.000\n", + "BGD-Gross domestic savings (% of GDP)\n", + "Statistical=0.955, p=0.197\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Gross domestic savings (current US$)\n", + "Statistical=0.861, p=0.001\n", + "BGD-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.717, p=0.000\n", + "BGD-Gross fixed capital formation (current US$)\n", + "Statistical=0.605, p=0.000\n", + "BGD-Gross national expenditure (% of GDP)\n", + "Statistical=0.598, p=0.000\n", + "BGD-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.928, p=0.035\n", + "BGD-Gross savings (% of GDP)\n", + "Statistical=0.881, p=0.002\n", + "BGD-Gross savings (current US$)\n", + "Statistical=0.888, p=0.003\n", + "BGD-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.811, p=0.000\n", + "BGD-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.897, p=0.005\n", + "BGD-High-technology exports (% of manufactured exports)\n", + "Statistical=0.956, p=0.209\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-High-technology exports (current US$)\n", + "Statistical=0.804, p=0.000\n", + "BGD-Hospital beds (per 1,000 people)\n", + "Statistical=0.906, p=0.009\n", + "BGD-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.821, p=0.000\n", + "BGD-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.590, p=0.000\n", + "BGD-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.590, p=0.000\n", + "BGD-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.590, p=0.000\n", + "BGD-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.892, p=0.004\n", + "BGD-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.976, p=0.679\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.952, p=0.170\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.639, p=0.000\n", + "BGD-ICT goods exports (% of total goods exports)\n", + "Statistical=0.655, p=0.000\n", + "BGD-ICT goods imports (% total goods imports)\n", + "Statistical=0.774, p=0.000\n", + "BGD-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.855, p=0.001\n", + "BGD-ICT service exports (BoP, current US$)\n", + "Statistical=0.788, p=0.000\n", + "BGD-Import unit value index (2000 = 100)\n", + "Statistical=0.824, p=0.000\n", + "BGD-Import value index (2000 = 100)\n", + "Statistical=0.783, p=0.000\n", + "BGD-Import volume index (2000 = 100)\n", + "Statistical=0.761, p=0.000\n", + "BGD-Imports of goods and services (% of GDP)\n", + "Statistical=0.915, p=0.015\n", + "BGD-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.811, p=0.000\n", + "BGD-Imports of goods and services (current US$)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "BGD-Income share held by highest 10%\n", + "Statistical=0.698, p=0.000\n", + "BGD-Income share held by highest 20%\n", + "Statistical=0.964, p=0.353\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Income share held by lowest 10%\n", + "Statistical=0.890, p=0.003\n", + "BGD-Income share held by lowest 20%\n", + "Statistical=0.889, p=0.003\n", + "BGD-Income share held by second 20%\n", + "Statistical=0.816, p=0.000\n", + "BGD-Income share held by third 20%\n", + "Statistical=0.866, p=0.001\n", + "BGD-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.840, p=0.000\n", + "BGD-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.798, p=0.000\n", + "BGD-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.838, p=0.000\n", + "BGD-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.860, p=0.001\n", + "BGD-Individuals using the Internet (% of population)\n", + "Statistical=0.782, p=0.000\n", + "BGD-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.820, p=0.000\n", + "BGD-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.447, p=0.000\n", + "BGD-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.782, p=0.000\n", + "BGD-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.832, p=0.000\n", + "BGD-Intentional homicides (per 100,000 people)\n", + "Statistical=0.800, p=0.000\n", + "BGD-Interest payments (% of revenue)\n", + "Statistical=0.640, p=0.000\n", + "BGD-International migrant stock (% of population)\n", + "Statistical=0.668, p=0.000\n", + "BGD-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.645, p=0.000\n", + "BGD-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.540, p=0.000\n", + "BGD-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.558, p=0.000\n", + "BGD-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.537, p=0.000\n", + "BGD-Land area (sq. km)\n", + "Statistical=0.779, p=0.000\n", + "BGD-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.843, p=0.000\n", + "BGD-Land under cereal production (hectares)\n", + "Statistical=0.818, p=0.000\n", + "BGD-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.864, p=0.001\n", + "BGD-Lifetime risk of maternal death (%)\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.864, p=0.001\n", + "BGD-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.925, p=0.029\n", + "BGD-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.876, p=0.002\n", + "BGD-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.852, p=0.000\n", + "BGD-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.831, p=0.000\n", + "BGD-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.655, p=0.000\n", + "BGD-Low-birthweight babies (% of births)\n", + "Statistical=0.659, p=0.000\n", + "BGD-Lower secondary school starting age (years)\n", + "Statistical=0.885, p=0.003\n", + "BGD-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.927, p=0.033\n", + "BGD-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.880, p=0.002\n", + "BGD-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.899, p=0.006\n", + "BGD-Marine protected areas (% of territorial waters)\n", + "Statistical=0.884, p=0.003\n", + "BGD-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.893, p=0.004\n", + "BGD-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.895, p=0.005\n", + "BGD-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.897, p=0.005\n", + "BGD-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.908, p=0.010\n", + "BGD-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.871, p=0.001\n", + "BGD-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.813, p=0.000\n", + "BGD-Merchandise exports (current US$)\n", + "Statistical=0.923, p=0.026\n", + "BGD-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.769, p=0.000\n", + "BGD-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.929, p=0.036\n", + "BGD-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.737, p=0.000\n", + "BGD-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.889, p=0.003\n", + "BGD-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.721, p=0.000\n", + "BGD-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.887, p=0.003\n", + "BGD-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.660, p=0.000\n", + "BGD-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.907, p=0.009\n", + "BGD-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.640, p=0.000\n", + "BGD-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.966, p=0.390\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Merchandise imports (current US$)\n", + "Statistical=0.844, p=0.000\n", + "BGD-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.760, p=0.000\n", + "BGD-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.867, p=0.001\n", + "BGD-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.900, p=0.006\n", + "BGD-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.906, p=0.009\n", + "BGD-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.927, p=0.033\n", + "BGD-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.854, p=0.001\n", + "BGD-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.875, p=0.002\n", + "BGD-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.853, p=0.000\n", + "BGD-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.971, p=0.529\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.863, p=0.001\n", + "BGD-Merchandise trade (% of GDP)\n", + "Statistical=0.967, p=0.414\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Methane emissions (% change from 1990)\n", + "Statistical=0.842, p=0.000\n", + "BGD-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.842, p=0.000\n", + "BGD-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.838, p=0.000\n", + "BGD-Military expenditure (% of GDP)\n", + "Statistical=0.855, p=0.001\n", + "BGD-Military expenditure (% of general government expenditure)\n", + "Statistical=0.864, p=0.001\n", + "BGD-Military expenditure (current USD)\n", + "Statistical=0.956, p=0.213\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Mineral rents (% of GDP)\n", + "Statistical=0.796, p=0.000\n", + "BGD-Mobile cellular subscriptions\n", + "Statistical=0.808, p=0.000\n", + "BGD-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.820, p=0.000\n", + "BGD-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.915, p=0.016\n", + "BGD-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.806, p=0.000\n", + "BGD-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.815, p=0.000\n", + "BGD-Natural gas rents (% of GDP)\n", + "Statistical=0.904, p=0.008\n", + "BGD-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.799, p=0.000\n", + "BGD-Net capital account (BoP, current US$)\n", + "Statistical=0.914, p=0.014\n", + "BGD-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.928, p=0.035\n", + "BGD-Net financial account (BoP, current US$)\n", + "Statistical=0.965, p=0.363\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Net migration\n", + "Statistical=0.886, p=0.003\n", + "BGD-Net primary income (BoP, current US$)\n", + "Statistical=0.886, p=0.003\n", + "BGD-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.814, p=0.000\n", + "BGD-Net secondary income (BoP, current US$)\n", + "Statistical=0.816, p=0.000\n", + "BGD-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.687, p=0.000\n", + "BGD-Net trade in goods (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.687, p=0.000\n", + "BGD-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.687, p=0.000\n", + "BGD-New businesses registered (number)\n", + "Statistical=0.687, p=0.000\n", + "BGD-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.622, p=0.000\n", + "BGD-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.625, p=0.000\n", + "BGD-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.920, p=0.021\n", + "BGD-Number of deaths ages 10-14 years\n", + "Statistical=0.909, p=0.011\n", + "BGD-Number of deaths ages 15-19 years\n", + "Statistical=0.885, p=0.003\n", + "BGD-Number of deaths ages 20-24 years\n", + "Statistical=0.955, p=0.204\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Number of deaths ages 5-9 years\n", + "Statistical=0.893, p=0.004\n", + "BGD-Number of infant deaths\n", + "Statistical=0.828, p=0.000\n", + "BGD-Number of maternal deaths\n", + "Statistical=0.862, p=0.001\n", + "BGD-Number of neonatal deaths\n", + "Statistical=0.927, p=0.033\n", + "BGD-Number of under-five deaths\n", + "Statistical=0.858, p=0.001\n", + "BGD-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.820, p=0.000\n", + "BGD-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.764, p=0.000\n", + "BGD-Oil rents (% of GDP)\n", + "Statistical=0.794, p=0.000\n", + "BGD-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.794, p=0.000\n", + "BGD-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.891, p=0.004\n", + "BGD-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.869, p=0.001\n", + "BGD-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.892, p=0.004\n", + "BGD-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.892, p=0.004\n", + "BGD-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.813, p=0.000\n", + "BGD-People using at least basic drinking water services (% of population)\n", + "Statistical=0.814, p=0.000\n", + "BGD-People using at least basic sanitation services (% of population)\n", + "Statistical=0.892, p=0.004\n", + "BGD-People using safely managed sanitation services (% of population)\n", + "Statistical=0.876, p=0.002\n", + "BGD-Permanent cropland (% of land area)\n", + "Statistical=0.973, p=0.572\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Physicians (per 1,000 people)\n", + "Statistical=0.881, p=0.002\n", + "BGD-Population ages 0-14 (% of total population)\n", + "Statistical=0.881, p=0.002\n", + "BGD-Population ages 15-64 (% of total population)\n", + "Statistical=0.818, p=0.000\n", + "BGD-Population ages 65 and above (% of total population)\n", + "Statistical=0.808, p=0.000\n", + "BGD-Population density (people per sq. km of land area)\n", + "Statistical=0.953, p=0.173\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Population growth (annual %)\n", + "Statistical=0.881, p=0.002\n", + "BGD-Population in largest city\n", + "Statistical=0.869, p=0.001\n", + "BGD-Population in the largest city (% of urban population)\n", + "Statistical=0.881, p=0.002\n", + "BGD-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.884, p=0.002\n", + "BGD-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.890, p=0.004\n", + "BGD-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.892, p=0.004\n", + "BGD-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.867, p=0.001\n", + "BGD-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.809, p=0.000\n", + "BGD-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "BGD-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.897, p=0.005\n", + "BGD-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.897, p=0.005\n", + "BGD-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.814, p=0.000\n", + "BGD-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.820, p=0.000\n", + "BGD-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.888, p=0.003\n", + "BGD-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.888, p=0.003\n", + "BGD-Prevalence of undernourishment (% of population)\n", + "Statistical=0.823, p=0.000\n", + "BGD-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Primary income payments (BoP, current US$)\n", + "Statistical=0.819, p=0.000\n", + "BGD-Primary income receipts (BoP, current US$)\n", + "Statistical=0.888, p=0.003\n", + "BGD-Primary school starting age (years)\n", + "Statistical=0.875, p=0.002\n", + "BGD-Private credit bureau coverage (% of adults)\n", + "Statistical=0.825, p=0.000\n", + "BGD-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.897, p=0.005\n", + "BGD-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.872, p=0.001\n", + "BGD-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.809, p=0.000\n", + "BGD-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.912, p=0.013\n", + "BGD-Procedures to build a warehouse (number)\n", + "Statistical=0.979, p=0.765\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Procedures to register property (number)\n", + "Statistical=0.874, p=0.001\n", + "BGD-Profit tax (% of commercial profits)\n", + "Statistical=0.874, p=0.001\n", + "BGD-Progression to secondary school (%)\n", + "Statistical=0.799, p=0.000\n", + "BGD-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.816, p=0.000\n", + "BGD-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.909, p=0.011\n", + "BGD-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.858, p=0.001\n", + "BGD-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.858, p=0.001\n", + "BGD-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.897, p=0.005\n", + "BGD-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.978, p=0.734\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Public credit registry coverage (% of adults)\n", + "Statistical=0.288, p=0.000\n", + "BGD-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.741, p=0.000\n", + "BGD-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.871, p=0.001\n", + "BGD-Rail lines (total route-km)\n", + "Statistical=0.793, p=0.000\n", + "BGD-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.794, p=0.000\n", + "BGD-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.912, p=0.012\n", + "BGD-Refugee population by country or territory of asylum\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Refugee population by country or territory of origin\n", + "Statistical=0.974, p=0.611\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.877, p=0.002\n", + "BGD-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.877, p=0.002\n", + "BGD-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.797, p=0.000\n", + "BGD-Research and development expenditure (% of GDP)\n", + "Statistical=0.816, p=0.000\n", + "BGD-Researchers in R&D (per million people)\n", + "Statistical=0.895, p=0.005\n", + "BGD-Reserves and related items (BoP, current US$)\n", + "Statistical=0.928, p=0.035\n", + "BGD-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.795, p=0.000\n", + "BGD-Rural land area (sq. km)\n", + "Statistical=0.808, p=0.000\n", + "BGD-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.974, p=0.611\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Rural population\n", + "Statistical=0.877, p=0.002\n", + "BGD-Rural population (% of total population)\n", + "Statistical=0.877, p=0.002\n", + "BGD-Rural population growth (annual %)\n", + "Statistical=0.797, p=0.000\n", + "BGD-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.816, p=0.000\n", + "BGD-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.772, p=0.000\n", + "BGD-Scientific and technical journal articles\n", + "Statistical=0.817, p=0.000\n", + "BGD-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.799, p=0.000\n", + "BGD-Secure Internet servers\n", + "Statistical=0.966, p=0.391\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Secure Internet servers (per 1 million people)\n", + "Statistical=0.884, p=0.002\n", + "BGD-Service exports (BoP, current US$)\n", + "Statistical=0.883, p=0.002\n", + "BGD-Service imports (BoP, current US$)\n", + "Statistical=0.812, p=0.000\n", + "BGD-Sex ratio at birth (male births per female births)\n", + "Statistical=0.814, p=0.000\n", + "BGD-Social contributions (% of revenue)\n", + "Statistical=0.897, p=0.005\n", + "BGD-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.903, p=0.007\n", + "BGD-Start-up procedures to register a business (number)\n", + "Statistical=0.887, p=0.003\n", + "BGD-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.825, p=0.000\n", + "BGD-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.842, p=0.000\n", + "BGD-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.889, p=0.003\n", + "BGD-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.889, p=0.003\n", + "BGD-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.813, p=0.000\n", + "BGD-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.814, p=0.000\n", + "BGD-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.725, p=0.000\n", + "BGD-Surface area (sq. km)\n", + "Statistical=0.799, p=0.000\n", + "BGD-Tax payments (number)\n", + "Statistical=0.767, p=0.000\n", + "BGD-Tax revenue (% of GDP)\n", + "Statistical=0.967, p=0.413\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Taxes less subsidies on products (current US$)\n", + "Statistical=0.887, p=0.003\n", + "BGD-Taxes on goods and services (% of revenue)\n", + "Statistical=0.887, p=0.003\n", + "BGD-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.817, p=0.000\n", + "BGD-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.818, p=0.000\n", + "BGD-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.845, p=0.000\n", + "BGD-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.963, p=0.327\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Time required to build a warehouse (days)\n", + "Statistical=0.887, p=0.003\n", + "BGD-Time required to enforce a contract (days)\n", + "Statistical=0.862, p=0.001\n", + "BGD-Time required to get electricity (days)\n", + "Statistical=0.931, p=0.042\n", + "BGD-Time required to register property (days)\n", + "Statistical=0.812, p=0.000\n", + "BGD-Time required to start a business (days)\n", + "Statistical=0.408, p=0.000\n", + "BGD-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.409, p=0.000\n", + "BGD-Time to obtain an electrical connection (days)\n", + "Statistical=0.409, p=0.000\n", + "BGD-Time to prepare and pay taxes (hours)\n", + "Statistical=0.409, p=0.000\n", + "BGD-Time to resolve insolvency (years)\n", + "Statistical=0.409, p=0.000\n", + "BGD-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.408, p=0.000\n", + "BGD-Total fisheries production (metric tons)\n", + "Statistical=0.408, p=0.000\n", + "BGD-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.409, p=0.000\n", + "BGD-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.408, p=0.000\n", + "BGD-Total natural resources rents (% of GDP)\n", + "Statistical=0.928, p=0.035\n", + "BGD-Total reserves (includes gold, current US$)\n", + "Statistical=0.829, p=0.000\n", + "BGD-Total reserves in months of imports\n", + "Statistical=0.870, p=0.001\n", + "BGD-Total reserves minus gold (current US$)\n", + "Statistical=0.789, p=0.000\n", + "BGD-Total tax and contribution rate (% of profit)\n", + "Statistical=0.850, p=0.000\n", + "BGD-Trade (% of GDP)\n", + "Statistical=0.755, p=0.000\n", + "BGD-Trade in services (% of GDP)\n", + "Statistical=0.897, p=0.005\n", + "BGD-Transport services (% of commercial service exports)\n", + "Statistical=0.890, p=0.004\n", + "BGD-Transport services (% of commercial service imports)\n", + "Statistical=0.857, p=0.001\n", + "BGD-Transport services (% of service exports, BoP)\n", + "Statistical=0.850, p=0.000\n", + "BGD-Transport services (% of service imports, BoP)\n", + "Statistical=0.960, p=0.272\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Travel services (% of commercial service exports)\n", + "Statistical=0.858, p=0.001\n", + "BGD-Travel services (% of commercial service imports)\n", + "Statistical=0.941, p=0.081\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Travel services (% of service exports, BoP)\n", + "Statistical=0.863, p=0.001\n", + "BGD-Travel services (% of service imports, BoP)\n", + "Statistical=0.863, p=0.001\n", + "BGD-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.826, p=0.000\n", + "BGD-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.842, p=0.000\n", + "BGD-UHC service coverage index\n", + "Statistical=0.859, p=0.001\n", + "BGD-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.895, p=0.005\n", + "BGD-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.765, p=0.000\n", + "BGD-Urban land area (sq. km)\n", + "Statistical=0.799, p=0.000\n", + "BGD-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.849, p=0.000\n", + "BGD-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.906, p=0.009\n", + "BGD-Urban population\n", + "Statistical=0.862, p=0.001\n", + "BGD-Urban population (% of total population)\n", + "Statistical=0.809, p=0.000\n", + "BGD-Urban population growth (annual %)\n", + "Statistical=0.804, p=0.000\n", + "BGD-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.804, p=0.000\n", + "BGD-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.900, p=0.006\n", + "BGD-GDP (current US$)+1\n", + "Statistical=0.900, p=0.006\n", + "BGD-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-GDP (current US$)+2\n", + "Statistical=0.915, p=0.015\n", + "BGD-GDP (current US$)+3\n", + "Statistical=0.971, p=0.529\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-GDP (current US$)+5\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-GDP (current US$)+8\n", + "Statistical=0.984, p=0.909\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-GDP (current US$)+13\n", + "Statistical=0.857, p=0.001\n", + "BGD-GDP (current US$)+21\n", + "Statistical=0.857, p=0.001\n", + "BGD-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.793, p=0.000\n", + "BGD-Deposit interest rate (%)\n", + "Statistical=0.803, p=0.000\n", + "BGD-Other taxes (% of revenue)\n", + "Statistical=0.885, p=0.003\n", + "BGD-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.964, p=0.348\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Taxes on international trade (% of revenue)\n", + "Statistical=0.962, p=0.303\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.960, p=0.267\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Broad money (% of GDP)\n", + "Statistical=0.958, p=0.242\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Broad money growth (annual %)\n", + "Statistical=0.953, p=0.173\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Broad money to total reserves ratio\n", + "Statistical=0.948, p=0.123\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.922, p=0.024\n", + "BGD-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.839, p=0.000\n", + "BGD-External health expenditure (% of current health expenditure)\n", + "Statistical=0.765, p=0.000\n", + "BGD-External health expenditure per capita (current US$)\n", + "Statistical=0.626, p=0.000\n", + "BGD-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.861, p=0.001\n", + "BGD-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.853, p=0.000\n", + "BGD-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.957, p=0.224\n", + "Data is NORMAL ( H0 not denied )\n", + "BGD-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.875, p=0.002\n", + "BGD-People practicing open defecation (% of population)\n", + "Statistical=0.895, p=0.005\n", + "BGD-Taxes on exports (% of tax revenue)\n", + "Statistical=0.906, p=0.009\n", + "BGD-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.912, p=0.013\n", + "BGD-Country\n", + "Statistical=0.797, p=0.000\n", + "BGD-Year\n", + "Statistical=0.678, p=0.000\n", + "BGD-Continent\n", + "Statistical=0.781, p=0.000\n", + "IND-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Adjusted net national income (current US$)\n", + "Statistical=0.811, p=0.000\n", + "IND-Adjusted net national income per capita (current US$)\n", + "Statistical=0.736, p=0.000\n", + "IND-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.850, p=0.000\n", + "IND-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.911, p=0.012\n", + "IND-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.901, p=0.006\n", + "IND-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.605, p=0.000\n", + "IND-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.596, p=0.000\n", + "IND-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.614, p=0.000\n", + "IND-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.607, p=0.000\n", + "IND-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.596, p=0.000\n", + "IND-Age dependency ratio (% of working-age population)\n", + "Statistical=0.589, p=0.000\n", + "IND-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.611, p=0.000\n", + "IND-Agricultural land (% of land area)\n", + "Statistical=0.569, p=0.000\n", + "IND-Agricultural land (sq. km)\n", + "Statistical=0.600, p=0.000\n", + "IND-Agricultural methane emissions (% of total)\n", + "Statistical=0.814, p=0.000\n", + "IND-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.798, p=0.000\n", + "IND-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.812, p=0.000\n", + "IND-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.974, p=0.631\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.886, p=0.003\n", + "IND-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.854, p=0.001\n", + "IND-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.977, p=0.715\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Aquaculture production (metric tons)\n", + "Statistical=0.889, p=0.003\n", + "IND-Arable land (% of land area)\n", + "Statistical=0.856, p=0.001\n", + "IND-Arable land (hectares per person)\n", + "Statistical=0.945, p=0.105\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Arable land (hectares)\n", + "Statistical=0.848, p=0.000\n", + "IND-Armed forces personnel (% of total labor force)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.849, p=0.000\n", + "IND-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.965, p=0.366\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.857, p=0.001\n", + "IND-Average precipitation in depth (mm per year)\n", + "Statistical=0.960, p=0.271\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Average time to clear exports through customs (days)\n", + "Statistical=0.858, p=0.001\n", + "IND-Births attended by skilled health staff (% of total)\n", + "Statistical=0.748, p=0.000\n", + "IND-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.868, p=0.001\n", + "IND-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.958, p=0.244\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.898, p=0.006\n", + "IND-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-CO2 emissions (kt)\n", + "Statistical=0.863, p=0.001\n", + "IND-CO2 emissions (metric tons per capita)\n", + "Statistical=0.823, p=0.000\n", + "IND-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.930, p=0.038\n", + "IND-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=0.952, p=0.165\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=0.836, p=0.000\n", + "IND-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.948, p=0.129\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.844, p=0.000\n", + "IND-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.871, p=0.001\n", + "IND-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.818, p=0.000\n", + "IND-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.560, p=0.000\n", + "IND-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.560, p=0.000\n", + "IND-Capture fisheries production (metric tons)\n", + "Statistical=0.560, p=0.000\n", + "IND-Cereal production (metric tons)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Cereal yield (kg per hectare)\n", + "Statistical=0.927, p=0.033\n", + "IND-Changes in inventories (current US$)\n", + "Statistical=0.943, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.825, p=0.000\n", + "IND-Children out of school (% of primary school age)\n", + "Statistical=0.849, p=0.000\n", + "IND-Coal rents (% of GDP)\n", + "Statistical=0.849, p=0.000\n", + "IND-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.706, p=0.000\n", + "IND-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.707, p=0.000\n", + "IND-Commercial service exports (current US$)\n", + "Statistical=0.723, p=0.000\n", + "IND-Commercial service imports (current US$)\n", + "Statistical=0.904, p=0.008\n", + "IND-Completeness of birth registration (%)\n", + "Statistical=0.694, p=0.000\n", + "IND-Consumer price index (2010 = 100)\n", + "Statistical=0.893, p=0.004\n", + "IND-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.928, p=0.035\n", + "IND-Crop production index (2014-2016 = 100)\n", + "Statistical=0.862, p=0.001\n", + "IND-Current account balance (% of GDP)\n", + "Statistical=0.817, p=0.000\n", + "IND-Current account balance (BoP, current US$)\n", + "Statistical=0.974, p=0.626\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Current health expenditure (% of GDP)\n", + "Statistical=0.931, p=0.041\n", + "IND-Current health expenditure per capita (current US$)\n", + "Statistical=0.931, p=0.041\n", + "IND-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.830, p=0.000\n", + "IND-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.845, p=0.000\n", + "IND-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.839, p=0.000\n", + "IND-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.853, p=0.000\n", + "IND-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.867, p=0.001\n", + "IND-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.886, p=0.003\n", + "IND-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.851, p=0.000\n", + "IND-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.837, p=0.000\n", + "IND-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.773, p=0.000\n", + "IND-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.879, p=0.002\n", + "IND-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.904, p=0.008\n", + "IND-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.904, p=0.008\n", + "IND-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.898, p=0.005\n", + "IND-Electric power consumption (kWh per capita)\n", + "Statistical=0.876, p=0.002\n", + "IND-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.915, p=0.016\n", + "IND-Electricity production from coal sources (% of total)\n", + "Statistical=0.876, p=0.002\n", + "IND-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.895, p=0.005\n", + "IND-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.870, p=0.001\n", + "IND-Electricity production from oil sources (% of total)\n", + "Statistical=0.931, p=0.041\n", + "IND-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.704, p=0.000\n", + "IND-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.714, p=0.000\n", + "IND-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.679, p=0.000\n", + "IND-Energy related methane emissions (% of total)\n", + "Statistical=0.875, p=0.002\n", + "IND-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.732, p=0.000\n", + "IND-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.933, p=0.047\n", + "IND-Export unit value index (2000 = 100)\n", + "Statistical=0.827, p=0.000\n", + "IND-Export value index (2000 = 100)\n", + "Statistical=0.760, p=0.000\n", + "IND-Export volume index (2000 = 100)\n", + "Statistical=0.755, p=0.000\n", + "IND-Exports of goods and services (% of GDP)\n", + "Statistical=0.816, p=0.000\n", + "IND-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.893, p=0.004\n", + "IND-Exports of goods and services (current US$)\n", + "Statistical=0.831, p=0.000\n", + "IND-External balance on goods and services (% of GDP)\n", + "Statistical=0.964, p=0.351\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-External balance on goods and services (current US$)\n", + "Statistical=0.891, p=0.004\n", + "IND-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.563, p=0.000\n", + "IND-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Final consumption expenditure (% of GDP)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Final consumption expenditure (current US$)\n", + "Statistical=0.892, p=0.004\n", + "IND-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.889, p=0.003\n", + "IND-Firms offering formal training (% of firms)\n", + "Statistical=0.883, p=0.002\n", + "IND-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.891, p=0.004\n", + "IND-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.923, p=0.024\n", + "IND-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.860, p=0.001\n", + "IND-Fixed broadband subscriptions\n", + "Statistical=0.921, p=0.021\n", + "IND-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.885, p=0.003\n", + "IND-Fixed telephone subscriptions\n", + "Statistical=0.892, p=0.004\n", + "IND-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.888, p=0.003\n", + "IND-Food exports (% of merchandise exports)\n", + "Statistical=0.882, p=0.002\n", + "IND-Food imports (% of merchandise imports)\n", + "Statistical=0.979, p=0.761\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Food production index (2014-2016 = 100)\n", + "Statistical=0.862, p=0.001\n", + "IND-Forest area (% of land area)\n", + "Statistical=0.951, p=0.153\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Forest area (sq. km)\n", + "Statistical=0.900, p=0.006\n", + "IND-Forest rents (% of GDP)\n", + "Statistical=0.924, p=0.027\n", + "IND-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.844, p=0.000\n", + "IND-Fuel exports (% of merchandise exports)\n", + "Statistical=0.864, p=0.001\n", + "IND-Fuel imports (% of merchandise imports)\n", + "Statistical=0.841, p=0.000\n", + "IND-GDP (current US$)\n", + "Statistical=0.924, p=0.027\n", + "IND-GDP deflator (base year varies by country)\n", + "Statistical=0.931, p=0.043\n", + "IND-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-GDP growth (annual %)\n", + "Statistical=0.973, p=0.585\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-GDP per capita (current US$)\n", + "Statistical=0.790, p=0.000\n", + "IND-GDP per capita growth (annual %)\n", + "Statistical=0.785, p=0.000\n", + "IND-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.968, p=0.446\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.832, p=0.000\n", + "IND-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.808, p=0.000\n", + "IND-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.876, p=0.002\n", + "IND-GNI (current US$)\n", + "Statistical=0.813, p=0.000\n", + "IND-GNI growth (annual %)\n", + "Statistical=0.795, p=0.000\n", + "IND-GNI per capita growth (annual %)\n", + "Statistical=0.867, p=0.001\n", + "IND-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.983, p=0.889\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-General government final consumption expenditure (current US$)\n", + "Statistical=0.923, p=0.024\n", + "IND-Gini index\n", + "Statistical=0.928, p=0.035\n", + "IND-Goods exports (BoP, current US$)\n", + "Statistical=0.959, p=0.253\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Goods imports (BoP, current US$)\n", + "Statistical=0.899, p=0.006\n", + "IND-Grants and other revenue (% of revenue)\n", + "Statistical=0.694, p=0.000\n", + "IND-Gross capital formation (% of GDP)\n", + "Statistical=0.848, p=0.000\n", + "IND-Gross capital formation (current US$)\n", + "Statistical=0.892, p=0.004\n", + "IND-Gross domestic savings (% of GDP)\n", + "Statistical=0.780, p=0.000\n", + "IND-Gross domestic savings (current US$)\n", + "Statistical=0.928, p=0.035\n", + "IND-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.719, p=0.000\n", + "IND-Gross fixed capital formation (current US$)\n", + "Statistical=0.727, p=0.000\n", + "IND-Gross national expenditure (% of GDP)\n", + "Statistical=0.727, p=0.000\n", + "IND-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.806, p=0.000\n", + "IND-Gross savings (% of GDP)\n", + "Statistical=0.891, p=0.004\n", + "IND-Gross savings (current US$)\n", + "Statistical=0.895, p=0.005\n", + "IND-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.837, p=0.000\n", + "IND-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.813, p=0.000\n", + "IND-High-technology exports (% of manufactured exports)\n", + "Statistical=0.788, p=0.000\n", + "IND-High-technology exports (current US$)\n", + "Statistical=0.962, p=0.312\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Hospital beds (per 1,000 people)\n", + "Statistical=0.809, p=0.000\n", + "IND-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.846, p=0.000\n", + "IND-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.540, p=0.000\n", + "IND-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.540, p=0.000\n", + "IND-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.540, p=0.000\n", + "IND-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=0.420, p=0.000\n", + "IND-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=0.457, p=0.000\n", + "IND-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=0.413, p=0.000\n", + "IND-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=0.447, p=0.000\n", + "IND-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.909, p=0.010\n", + "IND-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.959, p=0.255\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.920, p=0.021\n", + "IND-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.669, p=0.000\n", + "IND-ICT goods exports (% of total goods exports)\n", + "Statistical=0.686, p=0.000\n", + "IND-ICT goods imports (% total goods imports)\n", + "Statistical=0.688, p=0.000\n", + "IND-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.879, p=0.002\n", + "IND-ICT service exports (BoP, current US$)\n", + "Statistical=0.809, p=0.000\n", + "IND-Import unit value index (2000 = 100)\n", + "Statistical=0.828, p=0.000\n", + "IND-Import value index (2000 = 100)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Import volume index (2000 = 100)\n", + "Statistical=0.891, p=0.004\n", + "IND-Imports of goods and services (% of GDP)\n", + "Statistical=0.957, p=0.228\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.876, p=0.002\n", + "IND-Imports of goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "IND-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Income share held by highest 20%\n", + "Statistical=0.972, p=0.570\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Income share held by lowest 10%\n", + "Statistical=0.828, p=0.000\n", + "IND-Income share held by lowest 20%\n", + "Statistical=0.828, p=0.000\n", + "IND-Income share held by second 20%\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Income share held by third 20%\n", + "Statistical=0.835, p=0.000\n", + "IND-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.858, p=0.001\n", + "IND-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.803, p=0.000\n", + "IND-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.798, p=0.000\n", + "IND-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.844, p=0.000\n", + "IND-Individuals using the Internet (% of population)\n", + "Statistical=0.812, p=0.000\n", + "IND-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.842, p=0.000\n", + "IND-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.457, p=0.000\n", + "IND-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Intentional homicides (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Interest payments (% of revenue)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-International migrant stock (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Labor tax and contributions (% of commercial profits)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Land area (sq. km)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Land under cereal production (hectares)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.862, p=0.001\n", + "IND-Lifetime risk of maternal death (%)\n", + "Statistical=0.824, p=0.000\n", + "IND-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.876, p=0.002\n", + "IND-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.889, p=0.003\n", + "IND-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.869, p=0.001\n", + "IND-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.865, p=0.001\n", + "IND-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.920, p=0.021\n", + "IND-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.822, p=0.000\n", + "IND-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.781, p=0.000\n", + "IND-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.902, p=0.007\n", + "IND-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.932, p=0.044\n", + "IND-Low-birthweight babies (% of births)\n", + "Statistical=0.930, p=0.038\n", + "IND-Lower secondary school starting age (years)\n", + "Statistical=0.887, p=0.003\n", + "IND-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.837, p=0.000\n", + "IND-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.909, p=0.010\n", + "IND-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.840, p=0.000\n", + "IND-Marine protected areas (% of territorial waters)\n", + "Statistical=0.830, p=0.000\n", + "IND-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.859, p=0.001\n", + "IND-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.916, p=0.016\n", + "IND-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.838, p=0.000\n", + "IND-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.951, p=0.156\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.811, p=0.000\n", + "IND-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.804, p=0.000\n", + "IND-Merchandise exports (current US$)\n", + "Statistical=0.876, p=0.002\n", + "IND-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.840, p=0.000\n", + "IND-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.819, p=0.000\n", + "IND-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.820, p=0.000\n", + "IND-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.849, p=0.000\n", + "IND-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.848, p=0.000\n", + "IND-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.866, p=0.001\n", + "IND-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.833, p=0.000\n", + "IND-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.858, p=0.001\n", + "IND-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.841, p=0.000\n", + "IND-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.908, p=0.010\n", + "IND-Merchandise imports (current US$)\n", + "Statistical=0.845, p=0.000\n", + "IND-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.768, p=0.000\n", + "IND-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.854, p=0.001\n", + "IND-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.855, p=0.001\n", + "IND-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.842, p=0.000\n", + "IND-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.826, p=0.000\n", + "IND-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.870, p=0.001\n", + "IND-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.877, p=0.002\n", + "IND-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.930, p=0.039\n", + "IND-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.830, p=0.000\n", + "IND-Merchandise trade (% of GDP)\n", + "Statistical=0.970, p=0.486\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Methane emissions (% change from 1990)\n", + "Statistical=0.868, p=0.001\n", + "IND-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.868, p=0.001\n", + "IND-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.831, p=0.000\n", + "IND-Military expenditure (% of GDP)\n", + "Statistical=0.831, p=0.000\n", + "IND-Military expenditure (% of general government expenditure)\n", + "Statistical=0.834, p=0.000\n", + "IND-Military expenditure (current USD)\n", + "Statistical=0.945, p=0.107\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Mineral rents (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Mobile cellular subscriptions\n", + "Statistical=0.823, p=0.000\n", + "IND-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.835, p=0.000\n", + "IND-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.831, p=0.000\n", + "IND-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.916, p=0.016\n", + "IND-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.875, p=0.001\n", + "IND-Natural gas rents (% of GDP)\n", + "Statistical=0.923, p=0.026\n", + "IND-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Net capital account (BoP, current US$)\n", + "Statistical=0.882, p=0.002\n", + "IND-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.924, p=0.027\n", + "IND-Net financial account (BoP, current US$)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Net migration\n", + "Statistical=0.898, p=0.005\n", + "IND-Net primary income (BoP, current US$)\n", + "Statistical=0.898, p=0.005\n", + "IND-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.824, p=0.000\n", + "IND-Net secondary income (BoP, current US$)\n", + "Statistical=0.856, p=0.001\n", + "IND-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.714, p=0.000\n", + "IND-Net trade in goods (BoP, current US$)\n", + "Statistical=0.714, p=0.000\n", + "IND-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.714, p=0.000\n", + "IND-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-New businesses registered (number)\n", + "Statistical=0.714, p=0.000\n", + "IND-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.777, p=0.000\n", + "IND-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.773, p=0.000\n", + "IND-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.969, p=0.479\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Number of deaths ages 10-14 years\n", + "Statistical=0.964, p=0.354\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Number of deaths ages 15-19 years\n", + "Statistical=0.922, p=0.024\n", + "IND-Number of deaths ages 20-24 years\n", + "Statistical=0.957, p=0.222\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Number of deaths ages 5-9 years\n", + "Statistical=0.910, p=0.011\n", + "IND-Number of infant deaths\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Number of maternal deaths\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Number of neonatal deaths\n", + "Statistical=0.956, p=0.207\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Number of under-five deaths\n", + "Statistical=0.855, p=0.001\n", + "IND-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.913, p=0.013\n", + "IND-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.830, p=0.000\n", + "IND-Oil rents (% of GDP)\n", + "Statistical=0.964, p=0.344\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.964, p=0.344\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.964, p=0.349\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.901, p=0.006\n", + "IND-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.908, p=0.010\n", + "IND-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.973, p=0.589\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.899, p=0.006\n", + "IND-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.899, p=0.006\n", + "IND-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.831, p=0.000\n", + "IND-People using at least basic drinking water services (% of population)\n", + "Statistical=0.857, p=0.001\n", + "IND-People using at least basic sanitation services (% of population)\n", + "Statistical=0.910, p=0.011\n", + "IND-People using safely managed sanitation services (% of population)\n", + "Statistical=0.910, p=0.011\n", + "IND-Permanent cropland (% of land area)\n", + "Statistical=0.930, p=0.039\n", + "IND-Physicians (per 1,000 people)\n", + "Statistical=0.904, p=0.008\n", + "IND-Population ages 0-14 (% of total population)\n", + "Statistical=0.904, p=0.008\n", + "IND-Population ages 15-64 (% of total population)\n", + "Statistical=0.844, p=0.000\n", + "IND-Population ages 65 and above (% of total population)\n", + "Statistical=0.860, p=0.001\n", + "IND-Population density (people per sq. km of land area)\n", + "Statistical=0.928, p=0.034\n", + "IND-Population growth (annual %)\n", + "Statistical=0.904, p=0.008\n", + "IND-Population in largest city\n", + "Statistical=0.905, p=0.008\n", + "IND-Population in the largest city (% of urban population)\n", + "Statistical=0.875, p=0.002\n", + "IND-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.866, p=0.001\n", + "IND-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.872, p=0.001\n", + "IND-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.899, p=0.006\n", + "IND-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.895, p=0.005\n", + "IND-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.831, p=0.000\n", + "IND-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.900, p=0.006\n", + "IND-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.900, p=0.006\n", + "IND-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.831, p=0.000\n", + "IND-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.858, p=0.001\n", + "IND-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.911, p=0.012\n", + "IND-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.907, p=0.009\n", + "IND-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.907, p=0.009\n", + "IND-Prevalence of undernourishment (% of population)\n", + "Statistical=0.845, p=0.000\n", + "IND-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Statistical=0.908, p=0.010\n", + "IND-Primary income payments (BoP, current US$)\n", + "Statistical=0.856, p=0.001\n", + "IND-Primary income receipts (BoP, current US$)\n", + "Statistical=0.907, p=0.009\n", + "IND-Primary school starting age (years)\n", + "Statistical=0.907, p=0.009\n", + "IND-Private credit bureau coverage (% of adults)\n", + "Statistical=0.855, p=0.001\n", + "IND-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.900, p=0.006\n", + "IND-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.897, p=0.005\n", + "IND-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.831, p=0.000\n", + "IND-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.971, p=0.518\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Procedures to build a warehouse (number)\n", + "Statistical=0.955, p=0.202\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Procedures to register property (number)\n", + "Statistical=0.896, p=0.005\n", + "IND-Profit tax (% of commercial profits)\n", + "Statistical=0.896, p=0.005\n", + "IND-Progression to secondary school (%)\n", + "Statistical=0.827, p=0.000\n", + "IND-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.859, p=0.001\n", + "IND-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.830, p=0.000\n", + "IND-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.828, p=0.000\n", + "IND-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.825, p=0.000\n", + "IND-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.824, p=0.000\n", + "IND-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.889, p=0.003\n", + "IND-Public credit registry coverage (% of adults)\n", + "Statistical=0.926, p=0.031\n", + "IND-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.798, p=0.000\n", + "IND-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.782, p=0.000\n", + "IND-Rail lines (total route-km)\n", + "Statistical=0.893, p=0.004\n", + "IND-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.888, p=0.003\n", + "IND-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.907, p=0.009\n", + "IND-Refugee population by country or territory of asylum\n", + "Statistical=0.917, p=0.017\n", + "IND-Refugee population by country or territory of origin\n", + "Statistical=0.969, p=0.481\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.886, p=0.003\n", + "IND-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.886, p=0.003\n", + "IND-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.856, p=0.001\n", + "IND-Research and development expenditure (% of GDP)\n", + "Statistical=0.848, p=0.000\n", + "IND-Researchers in R&D (per million people)\n", + "Statistical=0.899, p=0.006\n", + "IND-Reserves and related items (BoP, current US$)\n", + "Statistical=0.924, p=0.027\n", + "IND-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.838, p=0.000\n", + "IND-Rural land area (sq. km)\n", + "Statistical=0.850, p=0.000\n", + "IND-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.987, p=0.954\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Rural population\n", + "Statistical=0.893, p=0.004\n", + "IND-Rural population (% of total population)\n", + "Statistical=0.893, p=0.004\n", + "IND-Rural population growth (annual %)\n", + "Statistical=0.856, p=0.001\n", + "IND-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.862, p=0.001\n", + "IND-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.890, p=0.003\n", + "IND-Scientific and technical journal articles\n", + "Statistical=0.775, p=0.000\n", + "IND-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.888, p=0.003\n", + "IND-Secure Internet servers\n", + "Statistical=0.912, p=0.012\n", + "IND-Secure Internet servers (per 1 million people)\n", + "Statistical=0.899, p=0.006\n", + "IND-Service exports (BoP, current US$)\n", + "Statistical=0.899, p=0.006\n", + "IND-Service imports (BoP, current US$)\n", + "Statistical=0.838, p=0.000\n", + "IND-Sex ratio at birth (male births per female births)\n", + "Statistical=0.862, p=0.001\n", + "IND-Social contributions (% of revenue)\n", + "Statistical=0.916, p=0.016\n", + "IND-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Start-up procedures to register a business (number)\n", + "Statistical=0.947, p=0.116\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.844, p=0.000\n", + "IND-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.852, p=0.000\n", + "IND-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.901, p=0.007\n", + "IND-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.901, p=0.007\n", + "IND-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.834, p=0.000\n", + "IND-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.858, p=0.001\n", + "IND-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.837, p=0.000\n", + "IND-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.784, p=0.000\n", + "IND-Surface area (sq. km)\n", + "Statistical=0.675, p=0.000\n", + "IND-Tax payments (number)\n", + "Statistical=0.952, p=0.166\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Tax revenue (% of GDP)\n", + "Statistical=0.957, p=0.223\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Taxes less subsidies on products (current US$)\n", + "Statistical=0.899, p=0.006\n", + "IND-Taxes on goods and services (% of revenue)\n", + "Statistical=0.899, p=0.006\n", + "IND-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.825, p=0.000\n", + "IND-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.857, p=0.001\n", + "IND-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.898, p=0.005\n", + "IND-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.961, p=0.292\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Time required to build a warehouse (days)\n", + "Statistical=0.899, p=0.006\n", + "IND-Time required to enforce a contract (days)\n", + "Statistical=0.886, p=0.003\n", + "IND-Time required to get electricity (days)\n", + "Statistical=0.922, p=0.024\n", + "IND-Time required to register property (days)\n", + "Statistical=0.825, p=0.000\n", + "IND-Time required to start a business (days)\n", + "Statistical=0.400, p=0.000\n", + "IND-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.400, p=0.000\n", + "IND-Time to obtain an electrical connection (days)\n", + "Statistical=0.400, p=0.000\n", + "IND-Time to prepare and pay taxes (hours)\n", + "Statistical=0.401, p=0.000\n", + "IND-Time to resolve insolvency (years)\n", + "Statistical=0.399, p=0.000\n", + "IND-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.399, p=0.000\n", + "IND-Total fisheries production (metric tons)\n", + "Statistical=0.398, p=0.000\n", + "IND-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.400, p=0.000\n", + "IND-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.400, p=0.000\n", + "IND-Total natural resources rents (% of GDP)\n", + "Statistical=0.905, p=0.008\n", + "IND-Total reserves (includes gold, current US$)\n", + "Statistical=0.878, p=0.002\n", + "IND-Total reserves in months of imports\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Total reserves minus gold (current US$)\n", + "Statistical=0.833, p=0.000\n", + "IND-Total tax and contribution rate (% of profit)\n", + "Statistical=0.890, p=0.003\n", + "IND-Trade (% of GDP)\n", + "Statistical=0.720, p=0.000\n", + "IND-Trade in services (% of GDP)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Transport services (% of commercial service exports)\n", + "Statistical=0.921, p=0.022\n", + "IND-Transport services (% of commercial service imports)\n", + "Statistical=0.833, p=0.000\n", + "IND-Transport services (% of service exports, BoP)\n", + "Statistical=0.864, p=0.001\n", + "IND-Transport services (% of service imports, BoP)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Travel services (% of commercial service exports)\n", + "Statistical=0.835, p=0.000\n", + "IND-Travel services (% of commercial service imports)\n", + "Statistical=0.971, p=0.537\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Travel services (% of service exports, BoP)\n", + "Statistical=0.870, p=0.001\n", + "IND-Travel services (% of service imports, BoP)\n", + "Statistical=0.870, p=0.001\n", + "IND-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.838, p=0.000\n", + "IND-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.836, p=0.000\n", + "IND-UHC service coverage index\n", + "Statistical=0.834, p=0.000\n", + "IND-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.807, p=0.000\n", + "IND-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.699, p=0.000\n", + "IND-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.812, p=0.000\n", + "IND-Urban land area (sq. km)\n", + "Statistical=0.820, p=0.000\n", + "IND-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.792, p=0.000\n", + "IND-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.856, p=0.001\n", + "IND-Urban population\n", + "Statistical=0.832, p=0.000\n", + "IND-Urban population (% of total population)\n", + "Statistical=0.791, p=0.000\n", + "IND-Urban population growth (annual %)\n", + "Statistical=0.711, p=0.000\n", + "IND-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.711, p=0.000\n", + "IND-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.811, p=0.000\n", + "IND-GDP (current US$)+1\n", + "Statistical=0.811, p=0.000\n", + "IND-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-GDP (current US$)+2\n", + "Statistical=0.858, p=0.001\n", + "IND-GDP (current US$)+3\n", + "Statistical=0.909, p=0.011\n", + "IND-GDP (current US$)+5\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-GDP (current US$)+8\n", + "Statistical=0.970, p=0.499\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-GDP (current US$)+13\n", + "Statistical=0.899, p=0.006\n", + "IND-GDP (current US$)+21\n", + "Statistical=0.899, p=0.006\n", + "IND-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.850, p=0.000\n", + "IND-Deposit interest rate (%)\n", + "Statistical=0.854, p=0.001\n", + "IND-Other taxes (% of revenue)\n", + "Statistical=0.919, p=0.019\n", + "IND-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Taxes on international trade (% of revenue)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.917, p=0.018\n", + "IND-Broad money (% of GDP)\n", + "Statistical=0.949, p=0.134\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Broad money growth (annual %)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Broad money to total reserves ratio\n", + "Statistical=0.949, p=0.133\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "IND-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.905, p=0.008\n", + "IND-External health expenditure (% of current health expenditure)\n", + "Statistical=0.843, p=0.000\n", + "IND-External health expenditure per capita (current US$)\n", + "Statistical=0.783, p=0.000\n", + "IND-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.881, p=0.002\n", + "IND-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.881, p=0.002\n", + "IND-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.921, p=0.022\n", + "IND-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.848, p=0.000\n", + "IND-People practicing open defecation (% of population)\n", + "Statistical=0.875, p=0.001\n", + "IND-Taxes on exports (% of tax revenue)\n", + "Statistical=0.890, p=0.003\n", + "IND-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.748, p=0.000\n", + "IND-Country\n", + "Statistical=0.821, p=0.000\n", + "IND-Year\n", + "Statistical=0.841, p=0.000\n", + "IND-Continent\n", + "Statistical=0.829, p=0.000\n", + "VNM-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Adjusted net national income (current US$)\n", + "Statistical=0.832, p=0.000\n", + "VNM-Adjusted net national income per capita (current US$)\n", + "Statistical=0.834, p=0.000\n", + "VNM-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.772, p=0.000\n", + "VNM-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.829, p=0.000\n", + "VNM-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.835, p=0.000\n", + "VNM-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.845, p=0.000\n", + "VNM-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.605, p=0.000\n", + "VNM-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.622, p=0.000\n", + "VNM-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.617, p=0.000\n", + "VNM-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.612, p=0.000\n", + "VNM-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.616, p=0.000\n", + "VNM-Age dependency ratio (% of working-age population)\n", + "Statistical=0.634, p=0.000\n", + "VNM-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.621, p=0.000\n", + "VNM-Agricultural land (% of land area)\n", + "Statistical=0.618, p=0.000\n", + "VNM-Agricultural land (sq. km)\n", + "Statistical=0.635, p=0.000\n", + "VNM-Agricultural methane emissions (% of total)\n", + "Statistical=0.736, p=0.000\n", + "VNM-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.918, p=0.019\n", + "VNM-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.865, p=0.001\n", + "VNM-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.851, p=0.000\n", + "VNM-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.923, p=0.025\n", + "VNM-Aquaculture production (metric tons)\n", + "Statistical=0.871, p=0.001\n", + "VNM-Arable land (% of land area)\n", + "Statistical=0.862, p=0.001\n", + "VNM-Arable land (hectares per person)\n", + "Statistical=0.869, p=0.001\n", + "VNM-Arable land (hectares)\n", + "Statistical=0.860, p=0.001\n", + "VNM-Armed forces personnel (% of total labor force)\n", + "Statistical=0.862, p=0.001\n", + "VNM-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.866, p=0.001\n", + "VNM-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.950, p=0.143\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.858, p=0.001\n", + "VNM-Average precipitation in depth (mm per year)\n", + "Statistical=0.846, p=0.000\n", + "VNM-Average time to clear exports through customs (days)\n", + "Statistical=0.848, p=0.000\n", + "VNM-Births attended by skilled health staff (% of total)\n", + "Statistical=0.902, p=0.007\n", + "VNM-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.838, p=0.000\n", + "VNM-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.905, p=0.008\n", + "VNM-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.903, p=0.008\n", + "VNM-CO2 emissions (kt)\n", + "Statistical=0.803, p=0.000\n", + "VNM-CO2 emissions (metric tons per capita)\n", + "Statistical=0.804, p=0.000\n", + "VNM-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=0.906, p=0.009\n", + "VNM-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=0.836, p=0.000\n", + "VNM-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.932, p=0.044\n", + "VNM-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.880, p=0.002\n", + "VNM-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.770, p=0.000\n", + "VNM-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.826, p=0.000\n", + "VNM-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.983, p=0.887\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.624, p=0.000\n", + "VNM-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Capture fisheries production (metric tons)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Cereal production (metric tons)\n", + "Statistical=0.846, p=0.000\n", + "VNM-Cereal yield (kg per hectare)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Changes in inventories (current US$)\n", + "Statistical=0.834, p=0.000\n", + "VNM-Chemicals (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Children out of school (% of primary school age)\n", + "Statistical=0.899, p=0.006\n", + "VNM-Coal rents (% of GDP)\n", + "Statistical=0.910, p=0.011\n", + "VNM-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.624, p=0.000\n", + "VNM-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.601, p=0.000\n", + "VNM-Commercial service exports (current US$)\n", + "Statistical=0.788, p=0.000\n", + "VNM-Commercial service imports (current US$)\n", + "Statistical=0.803, p=0.000\n", + "VNM-Completeness of birth registration (%)\n", + "Statistical=0.898, p=0.005\n", + "VNM-Consumer price index (2010 = 100)\n", + "Statistical=0.925, p=0.029\n", + "VNM-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.909, p=0.010\n", + "VNM-Crop production index (2014-2016 = 100)\n", + "Statistical=0.908, p=0.010\n", + "VNM-Current account balance (% of GDP)\n", + "Statistical=0.927, p=0.033\n", + "VNM-Current account balance (BoP, current US$)\n", + "Statistical=0.968, p=0.452\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Current health expenditure (% of GDP)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Current health expenditure per capita (current US$)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.842, p=0.000\n", + "VNM-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.860, p=0.001\n", + "VNM-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.914, p=0.014\n", + "VNM-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.879, p=0.002\n", + "VNM-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.820, p=0.000\n", + "VNM-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.850, p=0.000\n", + "VNM-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.889, p=0.003\n", + "VNM-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.741, p=0.000\n", + "VNM-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.655, p=0.000\n", + "VNM-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.771, p=0.000\n", + "VNM-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.763, p=0.000\n", + "VNM-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.763, p=0.000\n", + "VNM-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.862, p=0.001\n", + "VNM-Electric power consumption (kWh per capita)\n", + "Statistical=0.867, p=0.001\n", + "VNM-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.942, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Electricity production from coal sources (% of total)\n", + "Statistical=0.899, p=0.006\n", + "VNM-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.801, p=0.000\n", + "VNM-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.812, p=0.000\n", + "VNM-Electricity production from nuclear sources (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Electricity production from oil sources (% of total)\n", + "Statistical=0.800, p=0.000\n", + "VNM-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.754, p=0.000\n", + "VNM-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.657, p=0.000\n", + "VNM-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.634, p=0.000\n", + "VNM-Energy related methane emissions (% of total)\n", + "Statistical=0.648, p=0.000\n", + "VNM-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.637, p=0.000\n", + "VNM-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.715, p=0.000\n", + "VNM-Export unit value index (2000 = 100)\n", + "Statistical=0.848, p=0.000\n", + "VNM-Export value index (2000 = 100)\n", + "Statistical=0.614, p=0.000\n", + "VNM-Export volume index (2000 = 100)\n", + "Statistical=0.614, p=0.000\n", + "VNM-Exports of goods and services (% of GDP)\n", + "Statistical=0.614, p=0.000\n", + "VNM-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.905, p=0.008\n", + "VNM-Exports of goods and services (current US$)\n", + "Statistical=0.761, p=0.000\n", + "VNM-External balance on goods and services (% of GDP)\n", + "Statistical=0.888, p=0.003\n", + "VNM-External balance on goods and services (current US$)\n", + "Statistical=0.856, p=0.001\n", + "VNM-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.565, p=0.000\n", + "VNM-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.923, p=0.025\n", + "VNM-Final consumption expenditure (% of GDP)\n", + "Statistical=0.923, p=0.025\n", + "VNM-Final consumption expenditure (current US$)\n", + "Statistical=0.978, p=0.735\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.889, p=0.003\n", + "VNM-Firms offering formal training (% of firms)\n", + "Statistical=0.900, p=0.006\n", + "VNM-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.881, p=0.002\n", + "VNM-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.866, p=0.001\n", + "VNM-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.831, p=0.000\n", + "VNM-Fixed broadband subscriptions\n", + "Statistical=0.899, p=0.006\n", + "VNM-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.899, p=0.006\n", + "VNM-Fixed telephone subscriptions\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.855, p=0.001\n", + "VNM-Food exports (% of merchandise exports)\n", + "Statistical=0.843, p=0.000\n", + "VNM-Food imports (% of merchandise imports)\n", + "Statistical=0.915, p=0.015\n", + "VNM-Food production index (2014-2016 = 100)\n", + "Statistical=0.885, p=0.003\n", + "VNM-Forest area (% of land area)\n", + "Statistical=0.909, p=0.010\n", + "VNM-Forest area (sq. km)\n", + "Statistical=0.843, p=0.000\n", + "VNM-Forest rents (% of GDP)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.846, p=0.000\n", + "VNM-Fuel exports (% of merchandise exports)\n", + "Statistical=0.839, p=0.000\n", + "VNM-Fuel imports (% of merchandise imports)\n", + "Statistical=0.837, p=0.000\n", + "VNM-GDP (current US$)\n", + "Statistical=0.901, p=0.007\n", + "VNM-GDP deflator (base year varies by country)\n", + "Statistical=0.911, p=0.012\n", + "VNM-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.829, p=0.000\n", + "VNM-GDP growth (annual %)\n", + "Statistical=0.840, p=0.000\n", + "VNM-GDP per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.919, p=0.019\n", + "VNM-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.604, p=0.000\n", + "VNM-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-GNI (current US$)\n", + "Statistical=0.610, p=0.000\n", + "VNM-GNI growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-GNI per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.958, p=0.247\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-General government final consumption expenditure (current US$)\n", + "Statistical=0.890, p=0.003\n", + "VNM-Gini index\n", + "Statistical=0.924, p=0.027\n", + "VNM-Goods exports (BoP, current US$)\n", + "Statistical=0.812, p=0.000\n", + "VNM-Goods imports (BoP, current US$)\n", + "Statistical=0.844, p=0.000\n", + "VNM-Grants and other revenue (% of revenue)\n", + "Statistical=0.703, p=0.000\n", + "VNM-Gross capital formation (% of GDP)\n", + "Statistical=0.855, p=0.001\n", + "VNM-Gross capital formation (current US$)\n", + "Statistical=0.825, p=0.000\n", + "VNM-Gross domestic savings (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Gross domestic savings (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.829, p=0.000\n", + "VNM-Gross fixed capital formation (current US$)\n", + "Statistical=0.732, p=0.000\n", + "VNM-Gross national expenditure (% of GDP)\n", + "Statistical=0.732, p=0.000\n", + "VNM-Gross national expenditure (current US$)\n", + "Statistical=0.717, p=0.000\n", + "VNM-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Gross savings (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Gross savings (current US$)\n", + "Statistical=0.820, p=0.000\n", + "VNM-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.799, p=0.000\n", + "VNM-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.964, p=0.361\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-High-technology exports (% of manufactured exports)\n", + "Statistical=0.825, p=0.000\n", + "VNM-High-technology exports (current US$)\n", + "Statistical=0.850, p=0.000\n", + "VNM-Hospital beds (per 1,000 people)\n", + "Statistical=0.884, p=0.002\n", + "VNM-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.868, p=0.001\n", + "VNM-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.761, p=0.000\n", + "VNM-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.761, p=0.000\n", + "VNM-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.761, p=0.000\n", + "VNM-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=0.438, p=0.000\n", + "VNM-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=0.438, p=0.000\n", + "VNM-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.924, p=0.026\n", + "VNM-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.919, p=0.019\n", + "VNM-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.930, p=0.039\n", + "VNM-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.756, p=0.000\n", + "VNM-ICT goods exports (% of total goods exports)\n", + "Statistical=0.717, p=0.000\n", + "VNM-ICT goods imports (% total goods imports)\n", + "Statistical=0.703, p=0.000\n", + "VNM-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.865, p=0.001\n", + "VNM-ICT service exports (BoP, current US$)\n", + "Statistical=0.801, p=0.000\n", + "VNM-Import unit value index (2000 = 100)\n", + "Statistical=0.807, p=0.000\n", + "VNM-Import value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Import volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Imports of goods and services (% of GDP)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.887, p=0.003\n", + "VNM-Imports of goods and services (current US$)\n", + "Statistical=0.965, p=0.369\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=0.511, p=0.000\n", + "VNM-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "VNM-Income share held by highest 10%\n", + "Statistical=0.651, p=0.000\n", + "VNM-Income share held by highest 20%\n", + "Statistical=0.834, p=0.000\n", + "VNM-Income share held by lowest 10%\n", + "Statistical=0.900, p=0.006\n", + "VNM-Income share held by lowest 20%\n", + "Statistical=0.900, p=0.006\n", + "VNM-Income share held by second 20%\n", + "Statistical=0.827, p=0.000\n", + "VNM-Income share held by third 20%\n", + "Statistical=0.830, p=0.000\n", + "VNM-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.892, p=0.004\n", + "VNM-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.787, p=0.000\n", + "VNM-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.791, p=0.000\n", + "VNM-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.828, p=0.000\n", + "VNM-Individuals using the Internet (% of population)\n", + "Statistical=0.808, p=0.000\n", + "VNM-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.812, p=0.000\n", + "VNM-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.494, p=0.000\n", + "VNM-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.676, p=0.000\n", + "VNM-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.676, p=0.000\n", + "VNM-Intentional homicides (per 100,000 people)\n", + "Statistical=0.676, p=0.000\n", + "VNM-Interest payments (% of revenue)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-International migrant stock (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.676, p=0.000\n", + "VNM-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.676, p=0.000\n", + "VNM-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.676, p=0.000\n", + "VNM-Land area (sq. km)\n", + "Statistical=0.676, p=0.000\n", + "VNM-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.676, p=0.000\n", + "VNM-Land under cereal production (hectares)\n", + "Statistical=0.676, p=0.000\n", + "VNM-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.846, p=0.000\n", + "VNM-Lifetime risk of maternal death (%)\n", + "Statistical=0.796, p=0.000\n", + "VNM-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.868, p=0.001\n", + "VNM-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.873, p=0.001\n", + "VNM-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.826, p=0.000\n", + "VNM-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.868, p=0.001\n", + "VNM-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.927, p=0.033\n", + "VNM-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.949, p=0.137\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Low-birthweight babies (% of births)\n", + "Statistical=0.945, p=0.103\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Lower secondary school starting age (years)\n", + "Statistical=0.907, p=0.010\n", + "VNM-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.909, p=0.011\n", + "VNM-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.902, p=0.007\n", + "VNM-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.905, p=0.008\n", + "VNM-Marine protected areas (% of territorial waters)\n", + "Statistical=0.899, p=0.006\n", + "VNM-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.901, p=0.006\n", + "VNM-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.905, p=0.008\n", + "VNM-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.910, p=0.011\n", + "VNM-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.898, p=0.005\n", + "VNM-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.953, p=0.180\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.826, p=0.000\n", + "VNM-Merchandise exports (current US$)\n", + "Statistical=0.922, p=0.024\n", + "VNM-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.916, p=0.016\n", + "VNM-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.907, p=0.009\n", + "VNM-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.900, p=0.006\n", + "VNM-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.872, p=0.001\n", + "VNM-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.773, p=0.000\n", + "VNM-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.866, p=0.001\n", + "VNM-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.830, p=0.000\n", + "VNM-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.833, p=0.000\n", + "VNM-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.826, p=0.000\n", + "VNM-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.888, p=0.003\n", + "VNM-Merchandise imports (current US$)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.804, p=0.000\n", + "VNM-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.835, p=0.000\n", + "VNM-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.890, p=0.004\n", + "VNM-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.681, p=0.000\n", + "VNM-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.781, p=0.000\n", + "VNM-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.799, p=0.000\n", + "VNM-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.771, p=0.000\n", + "VNM-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.820, p=0.000\n", + "VNM-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.940, p=0.076\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.790, p=0.000\n", + "VNM-Merchandise trade (% of GDP)\n", + "Statistical=0.981, p=0.825\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Methane emissions (% change from 1990)\n", + "Statistical=0.839, p=0.000\n", + "VNM-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.839, p=0.000\n", + "VNM-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.776, p=0.000\n", + "VNM-Military expenditure (% of GDP)\n", + "Statistical=0.806, p=0.000\n", + "VNM-Military expenditure (% of general government expenditure)\n", + "Statistical=0.790, p=0.000\n", + "VNM-Military expenditure (current USD)\n", + "Statistical=0.914, p=0.015\n", + "VNM-Mineral rents (% of GDP)\n", + "Statistical=0.767, p=0.000\n", + "VNM-Mobile cellular subscriptions\n", + "Statistical=0.930, p=0.040\n", + "VNM-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.944, p=0.097\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.875, p=0.001\n", + "VNM-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.853, p=0.000\n", + "VNM-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.838, p=0.000\n", + "VNM-Natural gas rents (% of GDP)\n", + "Statistical=0.727, p=0.000\n", + "VNM-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.886, p=0.003\n", + "VNM-Net capital account (BoP, current US$)\n", + "Statistical=0.926, p=0.030\n", + "VNM-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.845, p=0.000\n", + "VNM-Net financial account (BoP, current US$)\n", + "Statistical=0.876, p=0.002\n", + "VNM-Net migration\n", + "Statistical=0.878, p=0.002\n", + "VNM-Net primary income (BoP, current US$)\n", + "Statistical=0.878, p=0.002\n", + "VNM-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.820, p=0.000\n", + "VNM-Net secondary income (BoP, current US$)\n", + "Statistical=0.848, p=0.000\n", + "VNM-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.657, p=0.000\n", + "VNM-Net trade in goods (BoP, current US$)\n", + "Statistical=0.657, p=0.000\n", + "VNM-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.657, p=0.000\n", + "VNM-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.657, p=0.000\n", + "VNM-New businesses registered (number)\n", + "Statistical=0.657, p=0.000\n", + "VNM-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.734, p=0.000\n", + "VNM-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.744, p=0.000\n", + "VNM-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.905, p=0.008\n", + "VNM-Number of deaths ages 10-14 years\n", + "Statistical=0.899, p=0.006\n", + "VNM-Number of deaths ages 15-19 years\n", + "Statistical=0.900, p=0.006\n", + "VNM-Number of deaths ages 20-24 years\n", + "Statistical=0.864, p=0.001\n", + "VNM-Number of deaths ages 5-9 years\n", + "Statistical=0.915, p=0.015\n", + "VNM-Number of infant deaths\n", + "Statistical=0.826, p=0.000\n", + "VNM-Number of maternal deaths\n", + "Statistical=0.814, p=0.000\n", + "VNM-Number of neonatal deaths\n", + "Statistical=0.958, p=0.237\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Number of under-five deaths\n", + "Statistical=0.839, p=0.000\n", + "VNM-Nurses and midwives (per 1,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Official exchange rate (LCU per US$, period average)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Oil rents (% of GDP)\n", + "Statistical=0.922, p=0.023\n", + "VNM-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.890, p=0.003\n", + "VNM-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.849, p=0.000\n", + "VNM-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.893, p=0.004\n", + "VNM-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.919, p=0.020\n", + "VNM-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.919, p=0.020\n", + "VNM-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.824, p=0.000\n", + "VNM-People using at least basic drinking water services (% of population)\n", + "Statistical=0.855, p=0.001\n", + "VNM-People using at least basic sanitation services (% of population)\n", + "Statistical=0.867, p=0.001\n", + "VNM-People using safely managed sanitation services (% of population)\n", + "Statistical=0.867, p=0.001\n", + "VNM-Permanent cropland (% of land area)\n", + "Statistical=0.963, p=0.332\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Physicians (per 1,000 people)\n", + "Statistical=0.928, p=0.034\n", + "VNM-Population ages 0-14 (% of total population)\n", + "Statistical=0.928, p=0.034\n", + "VNM-Population ages 15-64 (% of total population)\n", + "Statistical=0.835, p=0.000\n", + "VNM-Population ages 65 and above (% of total population)\n", + "Statistical=0.863, p=0.001\n", + "VNM-Population density (people per sq. km of land area)\n", + "Statistical=0.979, p=0.772\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Population growth (annual %)\n", + "Statistical=0.928, p=0.034\n", + "VNM-Population in largest city\n", + "Statistical=0.895, p=0.005\n", + "VNM-Population in the largest city (% of urban population)\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.913, p=0.013\n", + "VNM-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.897, p=0.005\n", + "VNM-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.919, p=0.020\n", + "VNM-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.883, p=0.002\n", + "VNM-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.824, p=0.000\n", + "VNM-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.908, p=0.010\n", + "VNM-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.908, p=0.010\n", + "VNM-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.829, p=0.000\n", + "VNM-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.861, p=0.001\n", + "VNM-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.925, p=0.028\n", + "VNM-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.916, p=0.017\n", + "VNM-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.916, p=0.017\n", + "VNM-Prevalence of undernourishment (% of population)\n", + "Statistical=0.840, p=0.000\n", + "VNM-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.932, p=0.045\n", + "VNM-Primary income payments (BoP, current US$)\n", + "Statistical=0.866, p=0.001\n", + "VNM-Primary income receipts (BoP, current US$)\n", + "Statistical=0.916, p=0.017\n", + "VNM-Primary school starting age (years)\n", + "Statistical=0.905, p=0.008\n", + "VNM-Private credit bureau coverage (% of adults)\n", + "Statistical=0.856, p=0.001\n", + "VNM-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.908, p=0.010\n", + "VNM-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.892, p=0.004\n", + "VNM-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.829, p=0.000\n", + "VNM-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.877, p=0.002\n", + "VNM-Procedures to build a warehouse (number)\n", + "Statistical=0.954, p=0.189\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Procedures to register property (number)\n", + "Statistical=0.853, p=0.000\n", + "VNM-Profit tax (% of commercial profits)\n", + "Statistical=0.853, p=0.000\n", + "VNM-Progression to secondary school (%)\n", + "Statistical=0.809, p=0.000\n", + "VNM-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.837, p=0.000\n", + "VNM-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.864, p=0.001\n", + "VNM-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.788, p=0.000\n", + "VNM-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.799, p=0.000\n", + "VNM-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.785, p=0.000\n", + "VNM-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.695, p=0.000\n", + "VNM-Public credit registry coverage (% of adults)\n", + "Statistical=0.670, p=0.000\n", + "VNM-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.693, p=0.000\n", + "VNM-Rail lines (total route-km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.961, p=0.284\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Refugee population by country or territory of asylum\n", + "Statistical=0.924, p=0.027\n", + "VNM-Refugee population by country or territory of origin\n", + "Statistical=0.977, p=0.698\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.919, p=0.020\n", + "VNM-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.919, p=0.020\n", + "VNM-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.861, p=0.001\n", + "VNM-Research and development expenditure (% of GDP)\n", + "Statistical=0.890, p=0.004\n", + "VNM-Researchers in R&D (per million people)\n", + "Statistical=0.891, p=0.004\n", + "VNM-Reserves and related items (BoP, current US$)\n", + "Statistical=0.845, p=0.000\n", + "VNM-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.831, p=0.000\n", + "VNM-Rural land area (sq. km)\n", + "Statistical=0.866, p=0.001\n", + "VNM-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.820, p=0.000\n", + "VNM-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.924, p=0.027\n", + "VNM-Rural population\n", + "Statistical=0.892, p=0.004\n", + "VNM-Rural population (% of total population)\n", + "Statistical=0.892, p=0.004\n", + "VNM-Rural population growth (annual %)\n", + "Statistical=0.852, p=0.000\n", + "VNM-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.876, p=0.002\n", + "VNM-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.875, p=0.002\n", + "VNM-Scientific and technical journal articles\n", + "Statistical=0.828, p=0.000\n", + "VNM-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.921, p=0.022\n", + "VNM-Secure Internet servers\n", + "Statistical=0.961, p=0.294\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Secure Internet servers (per 1 million people)\n", + "Statistical=0.884, p=0.002\n", + "VNM-Service exports (BoP, current US$)\n", + "Statistical=0.884, p=0.003\n", + "VNM-Service imports (BoP, current US$)\n", + "Statistical=0.833, p=0.000\n", + "VNM-Sex ratio at birth (male births per female births)\n", + "Statistical=0.863, p=0.001\n", + "VNM-Social contributions (% of revenue)\n", + "Statistical=0.846, p=0.000\n", + "VNM-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.847, p=0.000\n", + "VNM-Start-up procedures to register a business (number)\n", + "Statistical=0.870, p=0.001\n", + "VNM-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.837, p=0.000\n", + "VNM-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.856, p=0.001\n", + "VNM-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.638, p=0.000\n", + "VNM-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.638, p=0.000\n", + "VNM-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.665, p=0.000\n", + "VNM-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.663, p=0.000\n", + "VNM-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.675, p=0.000\n", + "VNM-Surface area (sq. km)\n", + "Statistical=0.650, p=0.000\n", + "VNM-Tax payments (number)\n", + "Statistical=0.865, p=0.001\n", + "VNM-Tax revenue (% of GDP)\n", + "Statistical=0.880, p=0.002\n", + "VNM-Taxes less subsidies on products (current US$)\n", + "Statistical=0.881, p=0.002\n", + "VNM-Taxes on goods and services (% of revenue)\n", + "Statistical=0.881, p=0.002\n", + "VNM-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.821, p=0.000\n", + "VNM-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.849, p=0.000\n", + "VNM-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.886, p=0.003\n", + "VNM-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.925, p=0.028\n", + "VNM-Time required to build a warehouse (days)\n", + "Statistical=0.881, p=0.002\n", + "VNM-Time required to enforce a contract (days)\n", + "Statistical=0.848, p=0.000\n", + "VNM-Time required to get electricity (days)\n", + "Statistical=0.862, p=0.001\n", + "VNM-Time required to register property (days)\n", + "Statistical=0.821, p=0.000\n", + "VNM-Time required to start a business (days)\n", + "Statistical=0.534, p=0.000\n", + "VNM-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.649, p=0.000\n", + "VNM-Time to obtain an electrical connection (days)\n", + "Statistical=0.648, p=0.000\n", + "VNM-Time to prepare and pay taxes (hours)\n", + "Statistical=0.649, p=0.000\n", + "VNM-Time to resolve insolvency (years)\n", + "Statistical=0.480, p=0.000\n", + "VNM-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.651, p=0.000\n", + "VNM-Total fisheries production (metric tons)\n", + "Statistical=0.651, p=0.000\n", + "VNM-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.652, p=0.000\n", + "VNM-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.555, p=0.000\n", + "VNM-Total natural resources rents (% of GDP)\n", + "Statistical=0.728, p=0.000\n", + "VNM-Total reserves (includes gold, current US$)\n", + "Statistical=0.755, p=0.000\n", + "VNM-Total reserves in months of imports\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Total reserves minus gold (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Total tax and contribution rate (% of profit)\n", + "Statistical=0.924, p=0.027\n", + "VNM-Trade (% of GDP)\n", + "Statistical=0.769, p=0.000\n", + "VNM-Trade in services (% of GDP)\n", + "Statistical=0.882, p=0.002\n", + "VNM-Transport services (% of commercial service exports)\n", + "Statistical=0.817, p=0.000\n", + "VNM-Transport services (% of commercial service imports)\n", + "Statistical=0.823, p=0.000\n", + "VNM-Transport services (% of service exports, BoP)\n", + "Statistical=0.788, p=0.000\n", + "VNM-Transport services (% of service imports, BoP)\n", + "Statistical=0.948, p=0.128\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Travel services (% of commercial service exports)\n", + "Statistical=0.802, p=0.000\n", + "VNM-Travel services (% of commercial service imports)\n", + "Statistical=0.964, p=0.356\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Travel services (% of service exports, BoP)\n", + "Statistical=0.838, p=0.000\n", + "VNM-Travel services (% of service imports, BoP)\n", + "Statistical=0.838, p=0.000\n", + "VNM-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.790, p=0.000\n", + "VNM-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.822, p=0.000\n", + "VNM-UHC service coverage index\n", + "Statistical=0.799, p=0.000\n", + "VNM-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.843, p=0.000\n", + "VNM-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.850, p=0.000\n", + "VNM-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.959, p=0.260\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Urban land area (sq. km)\n", + "Statistical=0.963, p=0.324\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.853, p=0.000\n", + "VNM-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.924, p=0.026\n", + "VNM-Urban population\n", + "Statistical=0.944, p=0.099\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Urban population (% of total population)\n", + "Statistical=0.875, p=0.002\n", + "VNM-Urban population growth (annual %)\n", + "Statistical=0.855, p=0.001\n", + "VNM-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.855, p=0.001\n", + "VNM-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.819, p=0.000\n", + "VNM-GDP (current US$)+1\n", + "Statistical=0.819, p=0.000\n", + "VNM-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-GDP (current US$)+2\n", + "Statistical=0.591, p=0.000\n", + "VNM-GDP (current US$)+3\n", + "Statistical=0.635, p=0.000\n", + "VNM-GDP (current US$)+5\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-GDP (current US$)+8\n", + "Statistical=0.930, p=0.039\n", + "VNM-GDP (current US$)+13\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-GDP (current US$)+21\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.837, p=0.000\n", + "VNM-Deposit interest rate (%)\n", + "Statistical=0.873, p=0.001\n", + "VNM-Other taxes (% of revenue)\n", + "Statistical=0.920, p=0.021\n", + "VNM-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.850, p=0.000\n", + "VNM-Taxes on international trade (% of revenue)\n", + "Statistical=0.850, p=0.000\n", + "VNM-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.959, p=0.257\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Broad money (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Broad money growth (annual %)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Broad money to total reserves ratio\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Claims on central government (annual growth as % of broad money)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.712, p=0.000\n", + "VNM-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-External health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-External health expenditure per capita (current US$)\n", + "Statistical=0.530, p=0.000\n", + "VNM-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.902, p=0.007\n", + "VNM-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.810, p=0.000\n", + "VNM-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.755, p=0.000\n", + "VNM-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.691, p=0.000\n", + "VNM-People practicing open defecation (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Taxes on exports (% of tax revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VNM-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.856, p=0.001\n", + "VNM-Country\n", + "Statistical=0.851, p=0.000\n", + "VNM-Year\n", + "Statistical=0.792, p=0.000\n", + "VNM-Continent\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Adjusted net national income (current US$)\n", + "Statistical=0.852, p=0.000\n", + "THA-Adjusted net national income per capita (current US$)\n", + "Statistical=0.855, p=0.001\n", + "THA-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.876, p=0.002\n", + "THA-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.742, p=0.000\n", + "THA-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.768, p=0.000\n", + "THA-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.809, p=0.000\n", + "THA-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.620, p=0.000\n", + "THA-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.604, p=0.000\n", + "THA-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.618, p=0.000\n", + "THA-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.618, p=0.000\n", + "THA-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.616, p=0.000\n", + "THA-Age dependency ratio (% of working-age population)\n", + "Statistical=0.620, p=0.000\n", + "THA-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.620, p=0.000\n", + "THA-Agricultural land (% of land area)\n", + "Statistical=0.636, p=0.000\n", + "THA-Agricultural land (sq. km)\n", + "Statistical=0.617, p=0.000\n", + "THA-Agricultural methane emissions (% of total)\n", + "Statistical=0.675, p=0.000\n", + "THA-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.665, p=0.000\n", + "THA-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.664, p=0.000\n", + "THA-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.883, p=0.002\n", + "THA-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Aquaculture production (metric tons)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Arable land (% of land area)\n", + "Statistical=0.889, p=0.003\n", + "THA-Arable land (hectares per person)\n", + "Statistical=0.862, p=0.001\n", + "THA-Arable land (hectares)\n", + "Statistical=0.919, p=0.019\n", + "THA-Armed forces personnel (% of total labor force)\n", + "Statistical=0.868, p=0.001\n", + "THA-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.919, p=0.019\n", + "THA-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.885, p=0.003\n", + "THA-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.921, p=0.021\n", + "THA-Average precipitation in depth (mm per year)\n", + "Statistical=0.928, p=0.035\n", + "THA-Average time to clear exports through customs (days)\n", + "Statistical=0.877, p=0.002\n", + "THA-Births attended by skilled health staff (% of total)\n", + "Statistical=0.881, p=0.002\n", + "THA-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.882, p=0.002\n", + "THA-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.923, p=0.025\n", + "THA-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.865, p=0.001\n", + "THA-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.934, p=0.050\n", + "THA-CO2 emissions (kt)\n", + "Statistical=0.877, p=0.002\n", + "THA-CO2 emissions (metric tons per capita)\n", + "Statistical=0.819, p=0.000\n", + "THA-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.925, p=0.028\n", + "THA-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=0.866, p=0.001\n", + "THA-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.900, p=0.006\n", + "THA-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.926, p=0.031\n", + "THA-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.919, p=0.020\n", + "THA-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.903, p=0.007\n", + "THA-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.930, p=0.040\n", + "THA-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.689, p=0.000\n", + "THA-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.649, p=0.000\n", + "THA-Capture fisheries production (metric tons)\n", + "Statistical=0.649, p=0.000\n", + "THA-Cereal production (metric tons)\n", + "Statistical=0.847, p=0.000\n", + "THA-Cereal yield (kg per hectare)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Changes in inventories (current US$)\n", + "Statistical=0.903, p=0.007\n", + "THA-Chemicals (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Children out of school (% of primary school age)\n", + "Statistical=0.865, p=0.001\n", + "THA-Coal rents (% of GDP)\n", + "Statistical=0.865, p=0.001\n", + "THA-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.687, p=0.000\n", + "THA-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.686, p=0.000\n", + "THA-Commercial service exports (current US$)\n", + "Statistical=0.679, p=0.000\n", + "THA-Commercial service imports (current US$)\n", + "Statistical=0.908, p=0.010\n", + "THA-Completeness of birth registration (%)\n", + "Statistical=0.806, p=0.000\n", + "THA-Consumer price index (2010 = 100)\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Crop production index (2014-2016 = 100)\n", + "Statistical=0.861, p=0.001\n", + "THA-Current account balance (% of GDP)\n", + "Statistical=0.866, p=0.001\n", + "THA-Current account balance (BoP, current US$)\n", + "Statistical=0.977, p=0.723\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Current health expenditure (% of GDP)\n", + "Statistical=0.895, p=0.005\n", + "THA-Current health expenditure per capita (current US$)\n", + "Statistical=0.895, p=0.005\n", + "THA-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.868, p=0.001\n", + "THA-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.844, p=0.000\n", + "THA-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.929, p=0.038\n", + "THA-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.959, p=0.258\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.880, p=0.002\n", + "THA-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.819, p=0.000\n", + "THA-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.888, p=0.003\n", + "THA-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Domestic private health expenditure per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.946, p=0.112\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Electric power consumption (kWh per capita)\n", + "Statistical=0.887, p=0.003\n", + "THA-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.814, p=0.000\n", + "THA-Electricity production from coal sources (% of total)\n", + "Statistical=0.887, p=0.003\n", + "THA-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.847, p=0.000\n", + "THA-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.794, p=0.000\n", + "THA-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.764, p=0.000\n", + "THA-Electricity production from oil sources (% of total)\n", + "Statistical=0.892, p=0.004\n", + "THA-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.763, p=0.000\n", + "THA-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.727, p=0.000\n", + "THA-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.797, p=0.000\n", + "THA-Energy related methane emissions (% of total)\n", + "Statistical=0.869, p=0.001\n", + "THA-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.697, p=0.000\n", + "THA-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.917, p=0.017\n", + "THA-Export unit value index (2000 = 100)\n", + "Statistical=0.889, p=0.003\n", + "THA-Export value index (2000 = 100)\n", + "Statistical=0.813, p=0.000\n", + "THA-Export volume index (2000 = 100)\n", + "Statistical=0.718, p=0.000\n", + "THA-Exports of goods and services (% of GDP)\n", + "Statistical=0.852, p=0.000\n", + "THA-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.886, p=0.003\n", + "THA-Exports of goods and services (current US$)\n", + "Statistical=0.904, p=0.008\n", + "THA-External balance on goods and services (% of GDP)\n", + "Statistical=0.887, p=0.003\n", + "THA-External balance on goods and services (current US$)\n", + "Statistical=0.959, p=0.254\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.955, p=0.204\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Final consumption expenditure (% of GDP)\n", + "Statistical=0.955, p=0.204\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Final consumption expenditure (current US$)\n", + "Statistical=0.918, p=0.018\n", + "THA-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.904, p=0.008\n", + "THA-Firms offering formal training (% of firms)\n", + "Statistical=0.902, p=0.007\n", + "THA-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.899, p=0.006\n", + "THA-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.857, p=0.001\n", + "THA-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.880, p=0.002\n", + "THA-Fixed broadband subscriptions\n", + "Statistical=0.865, p=0.001\n", + "THA-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.892, p=0.004\n", + "THA-Fixed telephone subscriptions\n", + "Statistical=0.965, p=0.371\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.928, p=0.034\n", + "THA-Food exports (% of merchandise exports)\n", + "Statistical=0.913, p=0.013\n", + "THA-Food imports (% of merchandise imports)\n", + "Statistical=0.927, p=0.033\n", + "THA-Food production index (2014-2016 = 100)\n", + "Statistical=0.901, p=0.007\n", + "THA-Forest area (% of land area)\n", + "Statistical=0.890, p=0.003\n", + "THA-Forest area (sq. km)\n", + "Statistical=0.903, p=0.008\n", + "THA-Forest rents (% of GDP)\n", + "Statistical=0.821, p=0.000\n", + "THA-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.557, p=0.000\n", + "THA-Fuel exports (% of merchandise exports)\n", + "Statistical=0.681, p=0.000\n", + "THA-Fuel imports (% of merchandise imports)\n", + "Statistical=0.851, p=0.000\n", + "THA-GDP (current US$)\n", + "Statistical=0.959, p=0.259\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-GDP deflator (base year varies by country)\n", + "Statistical=0.864, p=0.001\n", + "THA-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.971, p=0.527\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-GDP growth (annual %)\n", + "Statistical=0.968, p=0.438\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-GDP per capita (current US$)\n", + "Statistical=0.892, p=0.004\n", + "THA-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.867, p=0.001\n", + "THA-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.705, p=0.000\n", + "THA-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.384, p=0.000\n", + "THA-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.660, p=0.000\n", + "THA-GNI (current US$)\n", + "Statistical=0.711, p=0.000\n", + "THA-GNI growth (annual %)\n", + "Statistical=0.395, p=0.000\n", + "THA-GNI per capita growth (annual %)\n", + "Statistical=0.659, p=0.000\n", + "THA-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.927, p=0.033\n", + "THA-General government final consumption expenditure (current US$)\n", + "Statistical=0.981, p=0.815\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Gini index\n", + "Statistical=0.908, p=0.010\n", + "THA-Goods exports (BoP, current US$)\n", + "Statistical=0.849, p=0.000\n", + "THA-Goods imports (BoP, current US$)\n", + "Statistical=0.811, p=0.000\n", + "THA-Grants and other revenue (% of revenue)\n", + "Statistical=0.786, p=0.000\n", + "THA-Gross capital formation (% of GDP)\n", + "Statistical=0.869, p=0.001\n", + "THA-Gross capital formation (current US$)\n", + "Statistical=0.894, p=0.004\n", + "THA-Gross domestic savings (% of GDP)\n", + "Statistical=0.960, p=0.276\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Gross domestic savings (current US$)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.609, p=0.000\n", + "THA-Gross fixed capital formation (current US$)\n", + "Statistical=0.441, p=0.000\n", + "THA-Gross national expenditure (% of GDP)\n", + "Statistical=0.441, p=0.000\n", + "THA-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.964, p=0.342\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Gross savings (% of GDP)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Gross savings (current US$)\n", + "Statistical=0.913, p=0.014\n", + "THA-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.838, p=0.000\n", + "THA-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.899, p=0.006\n", + "THA-High-technology exports (% of manufactured exports)\n", + "Statistical=0.897, p=0.005\n", + "THA-High-technology exports (current US$)\n", + "Statistical=0.913, p=0.013\n", + "THA-Hospital beds (per 1,000 people)\n", + "Statistical=0.897, p=0.005\n", + "THA-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.915, p=0.015\n", + "THA-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.744, p=0.000\n", + "THA-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.744, p=0.000\n", + "THA-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.744, p=0.000\n", + "THA-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.907, p=0.010\n", + "THA-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.956, p=0.217\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.580, p=0.000\n", + "THA-ICT goods exports (% of total goods exports)\n", + "Statistical=0.578, p=0.000\n", + "THA-ICT goods imports (% total goods imports)\n", + "Statistical=0.573, p=0.000\n", + "THA-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.824, p=0.000\n", + "THA-ICT service exports (BoP, current US$)\n", + "Statistical=0.823, p=0.000\n", + "THA-Import unit value index (2000 = 100)\n", + "Statistical=0.837, p=0.000\n", + "THA-Import value index (2000 = 100)\n", + "Statistical=0.875, p=0.002\n", + "THA-Import volume index (2000 = 100)\n", + "Statistical=0.978, p=0.732\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Imports of goods and services (% of GDP)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Imports of goods and services (current US$)\n", + "Statistical=0.791, p=0.000\n", + "THA-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=0.478, p=0.000\n", + "THA-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "THA-Income share held by highest 10%\n", + "Statistical=0.625, p=0.000\n", + "THA-Income share held by highest 20%\n", + "Statistical=0.974, p=0.630\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Income share held by lowest 10%\n", + "Statistical=0.705, p=0.000\n", + "THA-Income share held by lowest 20%\n", + "Statistical=0.940, p=0.076\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Income share held by second 20%\n", + "Statistical=0.806, p=0.000\n", + "THA-Income share held by third 20%\n", + "Statistical=0.793, p=0.000\n", + "THA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.876, p=0.002\n", + "THA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.824, p=0.000\n", + "THA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.836, p=0.000\n", + "THA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.794, p=0.000\n", + "THA-Individuals using the Internet (% of population)\n", + "Statistical=0.756, p=0.000\n", + "THA-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.727, p=0.000\n", + "THA-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.463, p=0.000\n", + "THA-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.768, p=0.000\n", + "THA-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.763, p=0.000\n", + "THA-Intentional homicides (per 100,000 people)\n", + "Statistical=0.767, p=0.000\n", + "THA-Interest payments (% of revenue)\n", + "Statistical=0.810, p=0.000\n", + "THA-International migrant stock (% of population)\n", + "Statistical=0.809, p=0.000\n", + "THA-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.812, p=0.000\n", + "THA-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.702, p=0.000\n", + "THA-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.727, p=0.000\n", + "THA-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.712, p=0.000\n", + "THA-Land area (sq. km)\n", + "Statistical=0.757, p=0.000\n", + "THA-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.761, p=0.000\n", + "THA-Land under cereal production (hectares)\n", + "Statistical=0.757, p=0.000\n", + "THA-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.897, p=0.005\n", + "THA-Lifetime risk of maternal death (%)\n", + "Statistical=0.882, p=0.002\n", + "THA-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.920, p=0.020\n", + "THA-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.928, p=0.035\n", + "THA-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.740, p=0.000\n", + "THA-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.747, p=0.000\n", + "THA-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.946, p=0.115\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.835, p=0.000\n", + "THA-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.803, p=0.000\n", + "THA-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.897, p=0.005\n", + "THA-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.987, p=0.958\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Low-birthweight babies (% of births)\n", + "Statistical=0.985, p=0.921\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Lower secondary school starting age (years)\n", + "Statistical=0.922, p=0.024\n", + "THA-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.916, p=0.016\n", + "THA-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.926, p=0.031\n", + "THA-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Marine protected areas (% of territorial waters)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.952, p=0.164\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.922, p=0.024\n", + "THA-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.931, p=0.041\n", + "THA-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.915, p=0.015\n", + "THA-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.900, p=0.006\n", + "THA-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.934, p=0.050\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Merchandise exports (current US$)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.933, p=0.047\n", + "THA-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.883, p=0.002\n", + "THA-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.891, p=0.004\n", + "THA-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.633, p=0.000\n", + "THA-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.879, p=0.002\n", + "THA-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.659, p=0.000\n", + "THA-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.897, p=0.005\n", + "THA-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.643, p=0.000\n", + "THA-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.950, p=0.143\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Merchandise imports (current US$)\n", + "Statistical=0.927, p=0.032\n", + "THA-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.772, p=0.000\n", + "THA-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.899, p=0.006\n", + "THA-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.813, p=0.000\n", + "THA-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.885, p=0.003\n", + "THA-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.861, p=0.001\n", + "THA-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.862, p=0.001\n", + "THA-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.885, p=0.003\n", + "THA-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.831, p=0.000\n", + "THA-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.880, p=0.002\n", + "THA-Merchandise trade (% of GDP)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Methane emissions (% change from 1990)\n", + "Statistical=0.921, p=0.022\n", + "THA-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.921, p=0.022\n", + "THA-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.923, p=0.025\n", + "THA-Military expenditure (% of GDP)\n", + "Statistical=0.880, p=0.002\n", + "THA-Military expenditure (% of general government expenditure)\n", + "Statistical=0.879, p=0.002\n", + "THA-Military expenditure (current USD)\n", + "Statistical=0.960, p=0.270\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Mineral rents (% of GDP)\n", + "Statistical=0.886, p=0.003\n", + "THA-Mobile cellular subscriptions\n", + "Statistical=0.919, p=0.019\n", + "THA-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.916, p=0.017\n", + "THA-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.855, p=0.001\n", + "THA-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.818, p=0.000\n", + "THA-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.825, p=0.000\n", + "THA-Natural gas rents (% of GDP)\n", + "Statistical=0.788, p=0.000\n", + "THA-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.920, p=0.021\n", + "THA-Net capital account (BoP, current US$)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Net financial account (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Net migration\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Net primary income (BoP, current US$)\n", + "Statistical=0.625, p=0.000\n", + "THA-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.916, p=0.016\n", + "THA-Net secondary income (BoP, current US$)\n", + "Statistical=0.876, p=0.002\n", + "THA-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Net trade in goods (BoP, current US$)\n", + "Statistical=0.727, p=0.000\n", + "THA-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.727, p=0.000\n", + "THA-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.727, p=0.000\n", + "THA-New businesses registered (number)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.777, p=0.000\n", + "THA-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.780, p=0.000\n", + "THA-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.890, p=0.004\n", + "THA-Number of deaths ages 10-14 years\n", + "Statistical=0.941, p=0.081\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Number of deaths ages 15-19 years\n", + "Statistical=0.845, p=0.000\n", + "THA-Number of deaths ages 20-24 years\n", + "Statistical=0.954, p=0.185\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Number of deaths ages 5-9 years\n", + "Statistical=0.922, p=0.023\n", + "THA-Number of infant deaths\n", + "Statistical=0.926, p=0.029\n", + "THA-Number of maternal deaths\n", + "Statistical=0.927, p=0.033\n", + "THA-Number of neonatal deaths\n", + "Statistical=0.982, p=0.852\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Number of under-five deaths\n", + "Statistical=0.951, p=0.153\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.812, p=0.000\n", + "THA-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.791, p=0.000\n", + "THA-Oil rents (% of GDP)\n", + "Statistical=0.867, p=0.001\n", + "THA-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.867, p=0.001\n", + "THA-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.951, p=0.157\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.853, p=0.000\n", + "THA-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.951, p=0.152\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.919, p=0.019\n", + "THA-People using at least basic drinking water services (% of population)\n", + "Statistical=0.882, p=0.002\n", + "THA-People using at least basic sanitation services (% of population)\n", + "Statistical=0.932, p=0.044\n", + "THA-People using safely managed sanitation services (% of population)\n", + "Statistical=0.932, p=0.044\n", + "THA-Permanent cropland (% of land area)\n", + "Statistical=0.985, p=0.934\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Physicians (per 1,000 people)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Population ages 0-14 (% of total population)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Population ages 15-64 (% of total population)\n", + "Statistical=0.922, p=0.023\n", + "THA-Population ages 65 and above (% of total population)\n", + "Statistical=0.886, p=0.003\n", + "THA-Population density (people per sq. km of land area)\n", + "Statistical=0.974, p=0.620\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Population growth (annual %)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Population in largest city\n", + "Statistical=0.926, p=0.030\n", + "THA-Population in the largest city (% of urban population)\n", + "Statistical=0.931, p=0.041\n", + "THA-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.854, p=0.001\n", + "THA-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.786, p=0.000\n", + "THA-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.924, p=0.026\n", + "THA-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.919, p=0.019\n", + "THA-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Pregnant women receiving prenatal care (%)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.625, p=0.000\n", + "THA-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.920, p=0.021\n", + "THA-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.883, p=0.002\n", + "THA-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Prevalence of current tobacco use (% of adults)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.625, p=0.000\n", + "THA-Prevalence of undernourishment (% of population)\n", + "Statistical=0.924, p=0.026\n", + "THA-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Primary income payments (BoP, current US$)\n", + "Statistical=0.883, p=0.002\n", + "THA-Primary income receipts (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Primary school starting age (years)\n", + "Statistical=0.927, p=0.033\n", + "THA-Private credit bureau coverage (% of adults)\n", + "Statistical=0.879, p=0.002\n", + "THA-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.926, p=0.030\n", + "THA-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.920, p=0.021\n", + "THA-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Procedures to build a warehouse (number)\n", + "Statistical=0.946, p=0.111\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Procedures to register property (number)\n", + "Statistical=0.901, p=0.007\n", + "THA-Profit tax (% of commercial profits)\n", + "Statistical=0.901, p=0.007\n", + "THA-Progression to secondary school (%)\n", + "Statistical=0.897, p=0.005\n", + "THA-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.861, p=0.001\n", + "THA-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.956, p=0.216\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.859, p=0.001\n", + "THA-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.870, p=0.001\n", + "THA-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.925, p=0.028\n", + "THA-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.978, p=0.747\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Public credit registry coverage (% of adults)\n", + "Statistical=0.849, p=0.000\n", + "THA-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.867, p=0.001\n", + "THA-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.789, p=0.000\n", + "THA-Rail lines (total route-km)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.878, p=0.002\n", + "THA-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.972, p=0.570\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Refugee population by country or territory of asylum\n", + "Statistical=0.815, p=0.000\n", + "THA-Refugee population by country or territory of origin\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Renewable electricity output (% of total electricity output)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.625, p=0.000\n", + "THA-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.922, p=0.024\n", + "THA-Research and development expenditure (% of GDP)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Researchers in R&D (per million people)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Reserves and related items (BoP, current US$)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.925, p=0.029\n", + "THA-Rural land area (sq. km)\n", + "Statistical=0.900, p=0.006\n", + "THA-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.758, p=0.000\n", + "THA-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.965, p=0.367\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Rural population\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Rural population (% of total population)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Rural population growth (annual %)\n", + "Statistical=0.899, p=0.006\n", + "THA-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.922, p=0.023\n", + "THA-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.867, p=0.001\n", + "THA-Scientific and technical journal articles\n", + "Statistical=0.800, p=0.000\n", + "THA-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.831, p=0.000\n", + "THA-Secure Internet servers\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Secure Internet servers (per 1 million people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Service exports (BoP, current US$)\n", + "Statistical=0.625, p=0.000\n", + "THA-Service imports (BoP, current US$)\n", + "Statistical=0.908, p=0.010\n", + "THA-Sex ratio at birth (male births per female births)\n", + "Statistical=0.885, p=0.003\n", + "THA-Social contributions (% of revenue)\n", + "Statistical=0.625, p=0.000\n", + "THA-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.924, p=0.027\n", + "THA-Start-up procedures to register a business (number)\n", + "Statistical=0.926, p=0.030\n", + "THA-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.922, p=0.023\n", + "THA-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.901, p=0.006\n", + "THA-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.689, p=0.000\n", + "THA-Surface area (sq. km)\n", + "Statistical=0.753, p=0.000\n", + "THA-Tax payments (number)\n", + "Statistical=0.687, p=0.000\n", + "THA-Tax revenue (% of GDP)\n", + "Statistical=0.971, p=0.532\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Taxes less subsidies on products (current US$)\n", + "Statistical=0.947, p=0.118\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Taxes on goods and services (% of revenue)\n", + "Statistical=0.947, p=0.118\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.921, p=0.023\n", + "THA-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.883, p=0.002\n", + "THA-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.951, p=0.156\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.979, p=0.776\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Time required to build a warehouse (days)\n", + "Statistical=0.947, p=0.118\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Time required to enforce a contract (days)\n", + "Statistical=0.919, p=0.020\n", + "THA-Time required to get electricity (days)\n", + "Statistical=0.962, p=0.315\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Time required to register property (days)\n", + "Statistical=0.921, p=0.023\n", + "THA-Time required to start a business (days)\n", + "Statistical=0.654, p=0.000\n", + "THA-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.424, p=0.000\n", + "THA-Time to obtain an electrical connection (days)\n", + "Statistical=0.686, p=0.000\n", + "THA-Time to prepare and pay taxes (hours)\n", + "Statistical=0.561, p=0.000\n", + "THA-Time to resolve insolvency (years)\n", + "Statistical=0.627, p=0.000\n", + "THA-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.417, p=0.000\n", + "THA-Total fisheries production (metric tons)\n", + "Statistical=0.411, p=0.000\n", + "THA-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.600, p=0.000\n", + "THA-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.377, p=0.000\n", + "THA-Total natural resources rents (% of GDP)\n", + "Statistical=0.819, p=0.000\n", + "THA-Total reserves (includes gold, current US$)\n", + "Statistical=0.829, p=0.000\n", + "THA-Total reserves in months of imports\n", + "Statistical=0.967, p=0.410\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Total reserves minus gold (current US$)\n", + "Statistical=0.853, p=0.000\n", + "THA-Total tax and contribution rate (% of profit)\n", + "Statistical=0.843, p=0.000\n", + "THA-Trade (% of GDP)\n", + "Statistical=0.900, p=0.006\n", + "THA-Trade in services (% of GDP)\n", + "Statistical=0.874, p=0.001\n", + "THA-Transport services (% of commercial service exports)\n", + "Statistical=0.899, p=0.006\n", + "THA-Transport services (% of commercial service imports)\n", + "Statistical=0.872, p=0.001\n", + "THA-Transport services (% of service exports, BoP)\n", + "Statistical=0.890, p=0.004\n", + "THA-Transport services (% of service imports, BoP)\n", + "Statistical=0.932, p=0.045\n", + "THA-Travel services (% of commercial service exports)\n", + "Statistical=0.874, p=0.001\n", + "THA-Travel services (% of commercial service imports)\n", + "Statistical=0.971, p=0.518\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Travel services (% of service exports, BoP)\n", + "Statistical=0.903, p=0.008\n", + "THA-Travel services (% of service imports, BoP)\n", + "Statistical=0.903, p=0.008\n", + "THA-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.894, p=0.004\n", + "THA-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.874, p=0.001\n", + "THA-UHC service coverage index\n", + "Statistical=0.877, p=0.002\n", + "THA-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.807, p=0.000\n", + "THA-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.963, p=0.340\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Urban land area (sq. km)\n", + "Statistical=0.959, p=0.257\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.945, p=0.101\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Urban population\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Urban population (% of total population)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Urban population growth (annual %)\n", + "Statistical=0.679, p=0.000\n", + "THA-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.679, p=0.000\n", + "THA-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.791, p=0.000\n", + "THA-GDP (current US$)+1\n", + "Statistical=0.791, p=0.000\n", + "THA-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-GDP (current US$)+2\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-GDP (current US$)+3\n", + "Statistical=0.902, p=0.007\n", + "THA-GDP (current US$)+5\n", + "Statistical=0.961, p=0.300\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-GDP (current US$)+8\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-GDP (current US$)+13\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-GDP (current US$)+21\n", + "Statistical=0.625, p=0.000\n", + "THA-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.907, p=0.010\n", + "THA-Deposit interest rate (%)\n", + "Statistical=0.875, p=0.002\n", + "THA-Other taxes (% of revenue)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.980, p=0.803\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Taxes on international trade (% of revenue)\n", + "Statistical=0.980, p=0.803\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.960, p=0.268\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-Broad money (% of GDP)\n", + "Statistical=0.924, p=0.026\n", + "THA-Broad money growth (annual %)\n", + "Statistical=0.911, p=0.012\n", + "THA-Broad money to total reserves ratio\n", + "Statistical=0.924, p=0.026\n", + "THA-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.907, p=0.009\n", + "THA-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.932, p=0.043\n", + "THA-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.973, p=0.597\n", + "Data is NORMAL ( H0 not denied )\n", + "THA-External health expenditure (% of current health expenditure)\n", + "Statistical=0.928, p=0.034\n", + "THA-External health expenditure per capita (current US$)\n", + "Statistical=0.698, p=0.000\n", + "THA-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.868, p=0.001\n", + "THA-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.868, p=0.001\n", + "THA-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.910, p=0.011\n", + "THA-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.896, p=0.005\n", + "THA-People practicing open defecation (% of population)\n", + "Statistical=0.877, p=0.002\n", + "THA-Taxes on exports (% of tax revenue)\n", + "Statistical=0.914, p=0.014\n", + "THA-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.815, p=0.000\n", + "THA-Country\n", + "Statistical=0.868, p=0.001\n", + "THA-Year\n", + "Statistical=0.780, p=0.000\n", + "THA-Continent\n", + "Statistical=0.898, p=0.005\n", + "IDN-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Adjusted net national income (current US$)\n", + "Statistical=0.798, p=0.000\n", + "IDN-Adjusted net national income per capita (current US$)\n", + "Statistical=0.774, p=0.000\n", + "IDN-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.791, p=0.000\n", + "IDN-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.847, p=0.000\n", + "IDN-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.870, p=0.001\n", + "IDN-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.886, p=0.003\n", + "IDN-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.618, p=0.000\n", + "IDN-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.619, p=0.000\n", + "IDN-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.618, p=0.000\n", + "IDN-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.616, p=0.000\n", + "IDN-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.609, p=0.000\n", + "IDN-Age dependency ratio (% of working-age population)\n", + "Statistical=0.580, p=0.000\n", + "IDN-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.620, p=0.000\n", + "IDN-Agricultural land (% of land area)\n", + "Statistical=0.620, p=0.000\n", + "IDN-Agricultural land (sq. km)\n", + "Statistical=0.621, p=0.000\n", + "IDN-Agricultural methane emissions (% of total)\n", + "Statistical=0.955, p=0.202\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.907, p=0.010\n", + "IDN-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.980, p=0.803\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.907, p=0.009\n", + "IDN-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.906, p=0.009\n", + "IDN-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.832, p=0.000\n", + "IDN-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.906, p=0.009\n", + "IDN-Aquaculture production (metric tons)\n", + "Statistical=0.920, p=0.021\n", + "IDN-Arable land (% of land area)\n", + "Statistical=0.839, p=0.000\n", + "IDN-Arable land (hectares per person)\n", + "Statistical=0.925, p=0.029\n", + "IDN-Arable land (hectares)\n", + "Statistical=0.859, p=0.001\n", + "IDN-Armed forces personnel (% of total labor force)\n", + "Statistical=0.924, p=0.027\n", + "IDN-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.862, p=0.001\n", + "IDN-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.904, p=0.008\n", + "IDN-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.886, p=0.003\n", + "IDN-Average precipitation in depth (mm per year)\n", + "Statistical=0.698, p=0.000\n", + "IDN-Average time to clear exports through customs (days)\n", + "Statistical=0.820, p=0.000\n", + "IDN-Births attended by skilled health staff (% of total)\n", + "Statistical=0.838, p=0.000\n", + "IDN-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.828, p=0.000\n", + "IDN-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.973, p=0.581\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.912, p=0.013\n", + "IDN-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.930, p=0.040\n", + "IDN-CO2 emissions (kt)\n", + "Statistical=0.911, p=0.012\n", + "IDN-CO2 emissions (metric tons per capita)\n", + "Statistical=0.899, p=0.006\n", + "IDN-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.967, p=0.429\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.967, p=0.432\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.860, p=0.001\n", + "IDN-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.814, p=0.000\n", + "IDN-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.863, p=0.001\n", + "IDN-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.851, p=0.000\n", + "IDN-Capture fisheries production (metric tons)\n", + "Statistical=0.890, p=0.003\n", + "IDN-Cereal production (metric tons)\n", + "Statistical=0.899, p=0.006\n", + "IDN-Cereal yield (kg per hectare)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Changes in inventories (current US$)\n", + "Statistical=0.924, p=0.027\n", + "IDN-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.580, p=0.000\n", + "IDN-Children out of school (% of primary school age)\n", + "Statistical=0.900, p=0.006\n", + "IDN-Coal rents (% of GDP)\n", + "Statistical=0.916, p=0.016\n", + "IDN-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.657, p=0.000\n", + "IDN-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.652, p=0.000\n", + "IDN-Commercial service exports (current US$)\n", + "Statistical=0.758, p=0.000\n", + "IDN-Commercial service imports (current US$)\n", + "Statistical=0.848, p=0.000\n", + "IDN-Completeness of birth registration (%)\n", + "Statistical=0.666, p=0.000\n", + "IDN-Consumer price index (2010 = 100)\n", + "Statistical=0.894, p=0.004\n", + "IDN-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.965, p=0.368\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Crop production index (2014-2016 = 100)\n", + "Statistical=0.882, p=0.002\n", + "IDN-Current account balance (% of GDP)\n", + "Statistical=0.877, p=0.002\n", + "IDN-Current account balance (BoP, current US$)\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Current health expenditure (% of GDP)\n", + "Statistical=0.903, p=0.007\n", + "IDN-Current health expenditure per capita (current US$)\n", + "Statistical=0.903, p=0.007\n", + "IDN-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.850, p=0.000\n", + "IDN-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.821, p=0.000\n", + "IDN-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.882, p=0.002\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "IDN-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.930, p=0.040\n", + "IDN-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.812, p=0.000\n", + "IDN-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.880, p=0.002\n", + "IDN-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.898, p=0.005\n", + "IDN-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.917, p=0.017\n", + "IDN-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.900, p=0.006\n", + "IDN-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.900, p=0.006\n", + "IDN-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.756, p=0.000\n", + "IDN-Electric power consumption (kWh per capita)\n", + "Statistical=0.908, p=0.010\n", + "IDN-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.970, p=0.492\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Electricity production from coal sources (% of total)\n", + "Statistical=0.926, p=0.030\n", + "IDN-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.830, p=0.000\n", + "IDN-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.844, p=0.000\n", + "IDN-Electricity production from oil sources (% of total)\n", + "Statistical=0.967, p=0.416\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.676, p=0.000\n", + "IDN-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.657, p=0.000\n", + "IDN-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.831, p=0.000\n", + "IDN-Energy related methane emissions (% of total)\n", + "Statistical=0.769, p=0.000\n", + "IDN-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.803, p=0.000\n", + "IDN-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Export unit value index (2000 = 100)\n", + "Statistical=0.916, p=0.017\n", + "IDN-Export value index (2000 = 100)\n", + "Statistical=0.731, p=0.000\n", + "IDN-Export volume index (2000 = 100)\n", + "Statistical=0.784, p=0.000\n", + "IDN-Exports of goods and services (% of GDP)\n", + "Statistical=0.761, p=0.000\n", + "IDN-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.912, p=0.013\n", + "IDN-Exports of goods and services (current US$)\n", + "Statistical=0.853, p=0.000\n", + "IDN-External balance on goods and services (% of GDP)\n", + "Statistical=0.967, p=0.413\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-External balance on goods and services (current US$)\n", + "Statistical=0.790, p=0.000\n", + "IDN-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.625, p=0.000\n", + "IDN-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.880, p=0.002\n", + "IDN-Final consumption expenditure (% of GDP)\n", + "Statistical=0.880, p=0.002\n", + "IDN-Final consumption expenditure (current US$)\n", + "Statistical=0.915, p=0.015\n", + "IDN-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.947, p=0.118\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Firms offering formal training (% of firms)\n", + "Statistical=0.956, p=0.219\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.883, p=0.002\n", + "IDN-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.816, p=0.000\n", + "IDN-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.910, p=0.011\n", + "IDN-Fixed broadband subscriptions\n", + "Statistical=0.896, p=0.005\n", + "IDN-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.918, p=0.018\n", + "IDN-Fixed telephone subscriptions\n", + "Statistical=0.916, p=0.016\n", + "IDN-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.904, p=0.008\n", + "IDN-Food exports (% of merchandise exports)\n", + "Statistical=0.851, p=0.000\n", + "IDN-Food imports (% of merchandise imports)\n", + "Statistical=0.885, p=0.003\n", + "IDN-Food production index (2014-2016 = 100)\n", + "Statistical=0.864, p=0.001\n", + "IDN-Forest area (% of land area)\n", + "Statistical=0.881, p=0.002\n", + "IDN-Forest area (sq. km)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Forest rents (% of GDP)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.850, p=0.000\n", + "IDN-Fuel exports (% of merchandise exports)\n", + "Statistical=0.843, p=0.000\n", + "IDN-Fuel imports (% of merchandise imports)\n", + "Statistical=0.849, p=0.000\n", + "IDN-GDP (current US$)\n", + "Statistical=0.870, p=0.001\n", + "IDN-GDP deflator (base year varies by country)\n", + "Statistical=0.859, p=0.001\n", + "IDN-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.836, p=0.000\n", + "IDN-GDP growth (annual %)\n", + "Statistical=0.866, p=0.001\n", + "IDN-GDP per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.927, p=0.031\n", + "IDN-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.955, p=0.202\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.907, p=0.010\n", + "IDN-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.980, p=0.803\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-GNI (current US$)\n", + "Statistical=0.950, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-GNI growth (annual %)\n", + "Statistical=0.906, p=0.009\n", + "IDN-GNI per capita growth (annual %)\n", + "Statistical=0.986, p=0.948\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.968, p=0.439\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-General government final consumption expenditure (current US$)\n", + "Statistical=0.888, p=0.003\n", + "IDN-Gini index\n", + "Statistical=0.956, p=0.213\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Goods exports (BoP, current US$)\n", + "Statistical=0.882, p=0.002\n", + "IDN-Goods imports (BoP, current US$)\n", + "Statistical=0.858, p=0.001\n", + "IDN-Grants and other revenue (% of revenue)\n", + "Statistical=0.701, p=0.000\n", + "IDN-Gross capital formation (% of GDP)\n", + "Statistical=0.888, p=0.003\n", + "IDN-Gross capital formation (current US$)\n", + "Statistical=0.960, p=0.269\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Gross domestic savings (% of GDP)\n", + "Statistical=0.882, p=0.002\n", + "IDN-Gross domestic savings (current US$)\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.800, p=0.000\n", + "IDN-Gross fixed capital formation (current US$)\n", + "Statistical=0.717, p=0.000\n", + "IDN-Gross national expenditure (% of GDP)\n", + "Statistical=0.716, p=0.000\n", + "IDN-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.893, p=0.004\n", + "IDN-Gross savings (% of GDP)\n", + "Statistical=0.957, p=0.223\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Gross savings (current US$)\n", + "Statistical=0.917, p=0.017\n", + "IDN-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.812, p=0.000\n", + "IDN-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.926, p=0.030\n", + "IDN-High-technology exports (% of manufactured exports)\n", + "Statistical=0.919, p=0.020\n", + "IDN-High-technology exports (current US$)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Hospital beds (per 1,000 people)\n", + "Statistical=0.909, p=0.010\n", + "IDN-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.905, p=0.008\n", + "IDN-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.491, p=0.000\n", + "IDN-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.491, p=0.000\n", + "IDN-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.491, p=0.000\n", + "IDN-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=0.478, p=0.000\n", + "IDN-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.888, p=0.003\n", + "IDN-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.893, p=0.004\n", + "IDN-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.884, p=0.002\n", + "IDN-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.683, p=0.000\n", + "IDN-ICT goods exports (% of total goods exports)\n", + "Statistical=0.682, p=0.000\n", + "IDN-ICT goods imports (% total goods imports)\n", + "Statistical=0.719, p=0.000\n", + "IDN-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.798, p=0.000\n", + "IDN-ICT service exports (BoP, current US$)\n", + "Statistical=0.790, p=0.000\n", + "IDN-Import unit value index (2000 = 100)\n", + "Statistical=0.839, p=0.000\n", + "IDN-Import value index (2000 = 100)\n", + "Statistical=0.904, p=0.008\n", + "IDN-Import volume index (2000 = 100)\n", + "Statistical=0.881, p=0.002\n", + "IDN-Imports of goods and services (% of GDP)\n", + "Statistical=0.873, p=0.001\n", + "IDN-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.909, p=0.010\n", + "IDN-Imports of goods and services (current US$)\n", + "Statistical=0.896, p=0.005\n", + "IDN-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=0.442, p=0.000\n", + "IDN-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "IDN-Income share held by highest 10%\n", + "Statistical=0.651, p=0.000\n", + "IDN-Income share held by highest 20%\n", + "Statistical=0.922, p=0.024\n", + "IDN-Income share held by lowest 10%\n", + "Statistical=0.655, p=0.000\n", + "IDN-Income share held by lowest 20%\n", + "Statistical=0.876, p=0.002\n", + "IDN-Income share held by second 20%\n", + "Statistical=0.820, p=0.000\n", + "IDN-Income share held by third 20%\n", + "Statistical=0.853, p=0.000\n", + "IDN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.725, p=0.000\n", + "IDN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.805, p=0.000\n", + "IDN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.807, p=0.000\n", + "IDN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.886, p=0.003\n", + "IDN-Individuals using the Internet (% of population)\n", + "Statistical=0.823, p=0.000\n", + "IDN-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.818, p=0.000\n", + "IDN-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.493, p=0.000\n", + "IDN-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.727, p=0.000\n", + "IDN-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.691, p=0.000\n", + "IDN-Intentional homicides (per 100,000 people)\n", + "Statistical=0.726, p=0.000\n", + "IDN-Interest payments (% of revenue)\n", + "Statistical=0.857, p=0.001\n", + "IDN-International migrant stock (% of population)\n", + "Statistical=0.762, p=0.000\n", + "IDN-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.740, p=0.000\n", + "IDN-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.965, p=0.380\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.918, p=0.019\n", + "IDN-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.955, p=0.198\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Land area (sq. km)\n", + "Statistical=0.730, p=0.000\n", + "IDN-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.765, p=0.000\n", + "IDN-Land under cereal production (hectares)\n", + "Statistical=0.720, p=0.000\n", + "IDN-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.919, p=0.019\n", + "IDN-Lifetime risk of maternal death (%)\n", + "Statistical=0.851, p=0.000\n", + "IDN-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.911, p=0.012\n", + "IDN-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.829, p=0.000\n", + "IDN-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.914, p=0.015\n", + "IDN-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.892, p=0.004\n", + "IDN-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.918, p=0.019\n", + "IDN-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.874, p=0.001\n", + "IDN-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.883, p=0.002\n", + "IDN-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.796, p=0.000\n", + "IDN-Low-birthweight babies (% of births)\n", + "Statistical=0.805, p=0.000\n", + "IDN-Lower secondary school starting age (years)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.950, p=0.140\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.924, p=0.027\n", + "IDN-Marine protected areas (% of territorial waters)\n", + "Statistical=0.961, p=0.285\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.908, p=0.010\n", + "IDN-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.950, p=0.147\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.944, p=0.099\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Merchandise exports (current US$)\n", + "Statistical=0.955, p=0.196\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.957, p=0.233\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.911, p=0.012\n", + "IDN-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.918, p=0.018\n", + "IDN-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.943, p=0.093\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.891, p=0.004\n", + "IDN-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.886, p=0.003\n", + "IDN-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.909, p=0.011\n", + "IDN-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.913, p=0.014\n", + "IDN-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.821, p=0.000\n", + "IDN-Merchandise imports (current US$)\n", + "Statistical=0.805, p=0.000\n", + "IDN-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.642, p=0.000\n", + "IDN-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.890, p=0.003\n", + "IDN-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.889, p=0.003\n", + "IDN-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.872, p=0.001\n", + "IDN-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.826, p=0.000\n", + "IDN-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.887, p=0.003\n", + "IDN-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.950, p=0.146\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.917, p=0.017\n", + "IDN-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.982, p=0.853\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.892, p=0.004\n", + "IDN-Merchandise trade (% of GDP)\n", + "Statistical=0.975, p=0.651\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Methane emissions (% change from 1990)\n", + "Statistical=0.901, p=0.007\n", + "IDN-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.901, p=0.007\n", + "IDN-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.888, p=0.003\n", + "IDN-Military expenditure (% of GDP)\n", + "Statistical=0.877, p=0.002\n", + "IDN-Military expenditure (% of general government expenditure)\n", + "Statistical=0.894, p=0.004\n", + "IDN-Military expenditure (current USD)\n", + "Statistical=0.902, p=0.007\n", + "IDN-Mineral rents (% of GDP)\n", + "Statistical=0.757, p=0.000\n", + "IDN-Mobile cellular subscriptions\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.967, p=0.423\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.897, p=0.005\n", + "IDN-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.880, p=0.002\n", + "IDN-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.920, p=0.021\n", + "IDN-Natural gas rents (% of GDP)\n", + "Statistical=0.919, p=0.020\n", + "IDN-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.904, p=0.008\n", + "IDN-Net capital account (BoP, current US$)\n", + "Statistical=0.857, p=0.001\n", + "IDN-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.927, p=0.031\n", + "IDN-Net financial account (BoP, current US$)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Net migration\n", + "Statistical=0.921, p=0.022\n", + "IDN-Net primary income (BoP, current US$)\n", + "Statistical=0.921, p=0.022\n", + "IDN-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.847, p=0.000\n", + "IDN-Net secondary income (BoP, current US$)\n", + "Statistical=0.843, p=0.000\n", + "IDN-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.657, p=0.000\n", + "IDN-Net trade in goods (BoP, current US$)\n", + "Statistical=0.657, p=0.000\n", + "IDN-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.657, p=0.000\n", + "IDN-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.657, p=0.000\n", + "IDN-New businesses registered (number)\n", + "Statistical=0.657, p=0.000\n", + "IDN-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.723, p=0.000\n", + "IDN-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.734, p=0.000\n", + "IDN-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.827, p=0.000\n", + "IDN-Number of deaths ages 10-14 years\n", + "Statistical=0.821, p=0.000\n", + "IDN-Number of deaths ages 15-19 years\n", + "Statistical=0.875, p=0.002\n", + "IDN-Number of deaths ages 20-24 years\n", + "Statistical=0.971, p=0.533\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Number of deaths ages 5-9 years\n", + "Statistical=0.930, p=0.039\n", + "IDN-Number of infant deaths\n", + "Statistical=0.954, p=0.188\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Number of maternal deaths\n", + "Statistical=0.922, p=0.024\n", + "IDN-Number of neonatal deaths\n", + "Statistical=0.932, p=0.044\n", + "IDN-Number of under-five deaths\n", + "Statistical=0.885, p=0.003\n", + "IDN-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.911, p=0.012\n", + "IDN-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.864, p=0.001\n", + "IDN-Oil rents (% of GDP)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.911, p=0.012\n", + "IDN-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.916, p=0.016\n", + "IDN-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.850, p=0.000\n", + "IDN-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.900, p=0.006\n", + "IDN-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.900, p=0.006\n", + "IDN-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.841, p=0.000\n", + "IDN-People using at least basic drinking water services (% of population)\n", + "Statistical=0.830, p=0.000\n", + "IDN-People using at least basic sanitation services (% of population)\n", + "Statistical=0.881, p=0.002\n", + "IDN-People using safely managed sanitation services (% of population)\n", + "Statistical=0.881, p=0.002\n", + "IDN-Permanent cropland (% of land area)\n", + "Statistical=0.920, p=0.021\n", + "IDN-Physicians (per 1,000 people)\n", + "Statistical=0.906, p=0.009\n", + "IDN-Population ages 0-14 (% of total population)\n", + "Statistical=0.906, p=0.009\n", + "IDN-Population ages 15-64 (% of total population)\n", + "Statistical=0.854, p=0.001\n", + "IDN-Population ages 65 and above (% of total population)\n", + "Statistical=0.829, p=0.000\n", + "IDN-Population density (people per sq. km of land area)\n", + "Statistical=0.957, p=0.230\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Population growth (annual %)\n", + "Statistical=0.906, p=0.009\n", + "IDN-Population in largest city\n", + "Statistical=0.911, p=0.012\n", + "IDN-Population in the largest city (% of urban population)\n", + "Statistical=0.907, p=0.010\n", + "IDN-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.837, p=0.000\n", + "IDN-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.863, p=0.001\n", + "IDN-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.900, p=0.006\n", + "IDN-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.904, p=0.008\n", + "IDN-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.841, p=0.000\n", + "IDN-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.650, p=0.000\n", + "IDN-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.650, p=0.000\n", + "IDN-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.840, p=0.000\n", + "IDN-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.830, p=0.000\n", + "IDN-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.560, p=0.000\n", + "IDN-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.655, p=0.000\n", + "IDN-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.655, p=0.000\n", + "IDN-Prevalence of undernourishment (% of population)\n", + "Statistical=0.853, p=0.000\n", + "IDN-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.630, p=0.000\n", + "IDN-Primary income payments (BoP, current US$)\n", + "Statistical=0.824, p=0.000\n", + "IDN-Primary income receipts (BoP, current US$)\n", + "Statistical=0.655, p=0.000\n", + "IDN-Primary school starting age (years)\n", + "Statistical=0.910, p=0.011\n", + "IDN-Private credit bureau coverage (% of adults)\n", + "Statistical=0.823, p=0.000\n", + "IDN-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.650, p=0.000\n", + "IDN-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.902, p=0.007\n", + "IDN-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.840, p=0.000\n", + "IDN-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.889, p=0.003\n", + "IDN-Procedures to build a warehouse (number)\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Procedures to register property (number)\n", + "Statistical=0.862, p=0.001\n", + "IDN-Profit tax (% of commercial profits)\n", + "Statistical=0.862, p=0.001\n", + "IDN-Progression to secondary school (%)\n", + "Statistical=0.825, p=0.000\n", + "IDN-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.810, p=0.000\n", + "IDN-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.944, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.901, p=0.007\n", + "IDN-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.851, p=0.000\n", + "IDN-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.865, p=0.001\n", + "IDN-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.885, p=0.003\n", + "IDN-Public credit registry coverage (% of adults)\n", + "Statistical=0.757, p=0.000\n", + "IDN-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.794, p=0.000\n", + "IDN-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.770, p=0.000\n", + "IDN-Rail lines (total route-km)\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.868, p=0.001\n", + "IDN-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.886, p=0.003\n", + "IDN-Refugee population by country or territory of asylum\n", + "Statistical=0.901, p=0.006\n", + "IDN-Refugee population by country or territory of origin\n", + "Statistical=0.970, p=0.513\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.906, p=0.009\n", + "IDN-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.906, p=0.009\n", + "IDN-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.813, p=0.000\n", + "IDN-Research and development expenditure (% of GDP)\n", + "Statistical=0.800, p=0.000\n", + "IDN-Researchers in R&D (per million people)\n", + "Statistical=0.908, p=0.010\n", + "IDN-Reserves and related items (BoP, current US$)\n", + "Statistical=0.927, p=0.031\n", + "IDN-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.826, p=0.000\n", + "IDN-Rural land area (sq. km)\n", + "Statistical=0.812, p=0.000\n", + "IDN-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.866, p=0.001\n", + "IDN-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.928, p=0.035\n", + "IDN-Rural population\n", + "Statistical=0.884, p=0.003\n", + "IDN-Rural population (% of total population)\n", + "Statistical=0.884, p=0.003\n", + "IDN-Rural population growth (annual %)\n", + "Statistical=0.812, p=0.000\n", + "IDN-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.802, p=0.000\n", + "IDN-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.949, p=0.133\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Scientific and technical journal articles\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.957, p=0.231\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Secure Internet servers\n", + "Statistical=0.970, p=0.502\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Secure Internet servers (per 1 million people)\n", + "Statistical=0.878, p=0.002\n", + "IDN-Service exports (BoP, current US$)\n", + "Statistical=0.878, p=0.002\n", + "IDN-Service imports (BoP, current US$)\n", + "Statistical=0.837, p=0.000\n", + "IDN-Sex ratio at birth (male births per female births)\n", + "Statistical=0.827, p=0.000\n", + "IDN-Social contributions (% of revenue)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Start-up procedures to register a business (number)\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.824, p=0.000\n", + "IDN-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.814, p=0.000\n", + "IDN-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.655, p=0.000\n", + "IDN-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.655, p=0.000\n", + "IDN-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.828, p=0.000\n", + "IDN-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.686, p=0.000\n", + "IDN-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.663, p=0.000\n", + "IDN-Surface area (sq. km)\n", + "Statistical=0.690, p=0.000\n", + "IDN-Tax payments (number)\n", + "Statistical=0.722, p=0.000\n", + "IDN-Tax revenue (% of GDP)\n", + "Statistical=0.929, p=0.036\n", + "IDN-Taxes less subsidies on products (current US$)\n", + "Statistical=0.927, p=0.033\n", + "IDN-Taxes on goods and services (% of revenue)\n", + "Statistical=0.927, p=0.033\n", + "IDN-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.851, p=0.000\n", + "IDN-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.848, p=0.000\n", + "IDN-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Time required to build a warehouse (days)\n", + "Statistical=0.927, p=0.033\n", + "IDN-Time required to enforce a contract (days)\n", + "Statistical=0.894, p=0.004\n", + "IDN-Time required to get electricity (days)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Time required to register property (days)\n", + "Statistical=0.851, p=0.000\n", + "IDN-Time required to start a business (days)\n", + "Statistical=0.404, p=0.000\n", + "IDN-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.393, p=0.000\n", + "IDN-Time to obtain an electrical connection (days)\n", + "Statistical=0.431, p=0.000\n", + "IDN-Time to prepare and pay taxes (hours)\n", + "Statistical=0.395, p=0.000\n", + "IDN-Time to resolve insolvency (years)\n", + "Statistical=0.404, p=0.000\n", + "IDN-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.397, p=0.000\n", + "IDN-Total fisheries production (metric tons)\n", + "Statistical=0.644, p=0.000\n", + "IDN-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.403, p=0.000\n", + "IDN-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.403, p=0.000\n", + "IDN-Total natural resources rents (% of GDP)\n", + "Statistical=0.764, p=0.000\n", + "IDN-Total reserves (includes gold, current US$)\n", + "Statistical=0.764, p=0.000\n", + "IDN-Total reserves in months of imports\n", + "Statistical=0.870, p=0.001\n", + "IDN-Total reserves minus gold (current US$)\n", + "Statistical=0.830, p=0.000\n", + "IDN-Total tax and contribution rate (% of profit)\n", + "Statistical=0.980, p=0.813\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Trade (% of GDP)\n", + "Statistical=0.889, p=0.003\n", + "IDN-Trade in services (% of GDP)\n", + "Statistical=0.929, p=0.038\n", + "IDN-Transport services (% of commercial service exports)\n", + "Statistical=0.800, p=0.000\n", + "IDN-Transport services (% of commercial service imports)\n", + "Statistical=0.846, p=0.000\n", + "IDN-Transport services (% of service exports, BoP)\n", + "Statistical=0.897, p=0.005\n", + "IDN-Transport services (% of service imports, BoP)\n", + "Statistical=0.952, p=0.161\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Travel services (% of commercial service exports)\n", + "Statistical=0.864, p=0.001\n", + "IDN-Travel services (% of commercial service imports)\n", + "Statistical=0.969, p=0.459\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Travel services (% of service exports, BoP)\n", + "Statistical=0.925, p=0.028\n", + "IDN-Travel services (% of service imports, BoP)\n", + "Statistical=0.925, p=0.028\n", + "IDN-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.875, p=0.001\n", + "IDN-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.862, p=0.001\n", + "IDN-UHC service coverage index\n", + "Statistical=0.861, p=0.001\n", + "IDN-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.837, p=0.000\n", + "IDN-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.965, p=0.376\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Urban land area (sq. km)\n", + "Statistical=0.960, p=0.272\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.919, p=0.020\n", + "IDN-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.910, p=0.011\n", + "IDN-Urban population\n", + "Statistical=0.929, p=0.037\n", + "IDN-Urban population (% of total population)\n", + "Statistical=0.959, p=0.254\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Urban population growth (annual %)\n", + "Statistical=0.782, p=0.000\n", + "IDN-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.782, p=0.000\n", + "IDN-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.798, p=0.000\n", + "IDN-GDP (current US$)+1\n", + "Statistical=0.798, p=0.000\n", + "IDN-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-GDP (current US$)+2\n", + "Statistical=0.590, p=0.000\n", + "IDN-GDP (current US$)+3\n", + "Statistical=0.615, p=0.000\n", + "IDN-GDP (current US$)+5\n", + "Statistical=0.934, p=0.050\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-GDP (current US$)+8\n", + "Statistical=0.974, p=0.616\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-GDP (current US$)+13\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-GDP (current US$)+21\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.857, p=0.001\n", + "IDN-Deposit interest rate (%)\n", + "Statistical=0.830, p=0.000\n", + "IDN-Other taxes (% of revenue)\n", + "Statistical=0.897, p=0.005\n", + "IDN-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.970, p=0.487\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Taxes on international trade (% of revenue)\n", + "Statistical=0.970, p=0.487\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.973, p=0.579\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Broad money (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Broad money growth (annual %)\n", + "Statistical=0.973, p=0.577\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Broad money to total reserves ratio\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.974, p=0.627\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.852, p=0.000\n", + "IDN-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.971, p=0.516\n", + "Data is NORMAL ( H0 not denied )\n", + "IDN-External health expenditure (% of current health expenditure)\n", + "Statistical=0.859, p=0.001\n", + "IDN-External health expenditure per capita (current US$)\n", + "Statistical=0.713, p=0.000\n", + "IDN-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.678, p=0.000\n", + "IDN-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.804, p=0.000\n", + "IDN-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.843, p=0.000\n", + "IDN-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.873, p=0.001\n", + "IDN-People practicing open defecation (% of population)\n", + "Statistical=0.925, p=0.029\n", + "IDN-Taxes on exports (% of tax revenue)\n", + "Statistical=0.872, p=0.001\n", + "IDN-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.827, p=0.000\n", + "IDN-Country\n", + "Statistical=0.839, p=0.000\n", + "IDN-Year\n", + "Statistical=0.773, p=0.000\n", + "IDN-Continent\n", + "Statistical=0.790, p=0.000\n", + "PHL-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Adjusted net national income (current US$)\n", + "Statistical=0.815, p=0.000\n", + "PHL-Adjusted net national income per capita (current US$)\n", + "Statistical=0.852, p=0.000\n", + "PHL-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.870, p=0.001\n", + "PHL-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.924, p=0.026\n", + "PHL-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.620, p=0.000\n", + "PHL-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.617, p=0.000\n", + "PHL-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.614, p=0.000\n", + "PHL-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.621, p=0.000\n", + "PHL-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.603, p=0.000\n", + "PHL-Age dependency ratio (% of working-age population)\n", + "Statistical=0.604, p=0.000\n", + "PHL-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.593, p=0.000\n", + "PHL-Agricultural land (% of land area)\n", + "Statistical=0.611, p=0.000\n", + "PHL-Agricultural land (sq. km)\n", + "Statistical=0.557, p=0.000\n", + "PHL-Agricultural methane emissions (% of total)\n", + "Statistical=0.882, p=0.002\n", + "PHL-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.827, p=0.000\n", + "PHL-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.868, p=0.001\n", + "PHL-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.965, p=0.374\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.890, p=0.003\n", + "PHL-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.852, p=0.000\n", + "PHL-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.970, p=0.496\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Aquaculture production (metric tons)\n", + "Statistical=0.876, p=0.002\n", + "PHL-Arable land (% of land area)\n", + "Statistical=0.852, p=0.000\n", + "PHL-Arable land (hectares per person)\n", + "Statistical=0.776, p=0.000\n", + "PHL-Arable land (hectares)\n", + "Statistical=0.864, p=0.001\n", + "PHL-Armed forces personnel (% of total labor force)\n", + "Statistical=0.769, p=0.000\n", + "PHL-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.866, p=0.001\n", + "PHL-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.863, p=0.001\n", + "PHL-Average precipitation in depth (mm per year)\n", + "Statistical=0.903, p=0.008\n", + "PHL-Average time to clear exports through customs (days)\n", + "Statistical=0.872, p=0.001\n", + "PHL-Births attended by skilled health staff (% of total)\n", + "Statistical=0.796, p=0.000\n", + "PHL-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.883, p=0.002\n", + "PHL-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.886, p=0.003\n", + "PHL-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.869, p=0.001\n", + "PHL-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.794, p=0.000\n", + "PHL-CO2 emissions (kt)\n", + "Statistical=0.905, p=0.008\n", + "PHL-CO2 emissions (metric tons per capita)\n", + "Statistical=0.821, p=0.000\n", + "PHL-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.903, p=0.007\n", + "PHL-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=0.922, p=0.023\n", + "PHL-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=0.908, p=0.010\n", + "PHL-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.756, p=0.000\n", + "PHL-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.862, p=0.001\n", + "PHL-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.932, p=0.044\n", + "PHL-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.801, p=0.000\n", + "PHL-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.911, p=0.012\n", + "PHL-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.860, p=0.001\n", + "PHL-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.845, p=0.000\n", + "PHL-Capture fisheries production (metric tons)\n", + "Statistical=0.831, p=0.000\n", + "PHL-Cereal production (metric tons)\n", + "Statistical=0.930, p=0.038\n", + "PHL-Cereal yield (kg per hectare)\n", + "Statistical=0.855, p=0.001\n", + "PHL-Changes in inventories (current US$)\n", + "Statistical=0.930, p=0.038\n", + "PHL-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.689, p=0.000\n", + "PHL-Children out of school (% of primary school age)\n", + "Statistical=0.808, p=0.000\n", + "PHL-Coal rents (% of GDP)\n", + "Statistical=0.808, p=0.000\n", + "PHL-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.686, p=0.000\n", + "PHL-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.690, p=0.000\n", + "PHL-Commercial service exports (current US$)\n", + "Statistical=0.892, p=0.004\n", + "PHL-Commercial service imports (current US$)\n", + "Statistical=0.885, p=0.003\n", + "PHL-Completeness of birth registration (%)\n", + "Statistical=0.842, p=0.000\n", + "PHL-Consumer price index (2010 = 100)\n", + "Statistical=0.948, p=0.129\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.913, p=0.013\n", + "PHL-Crop production index (2014-2016 = 100)\n", + "Statistical=0.794, p=0.000\n", + "PHL-Current account balance (% of GDP)\n", + "Statistical=0.925, p=0.029\n", + "PHL-Current account balance (BoP, current US$)\n", + "Statistical=0.956, p=0.216\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Current health expenditure (% of GDP)\n", + "Statistical=0.890, p=0.004\n", + "PHL-Current health expenditure per capita (current US$)\n", + "Statistical=0.890, p=0.004\n", + "PHL-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.889, p=0.003\n", + "PHL-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.837, p=0.000\n", + "PHL-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.902, p=0.007\n", + "PHL-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.923, p=0.025\n", + "PHL-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.743, p=0.000\n", + "PHL-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.738, p=0.000\n", + "PHL-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.974, p=0.614\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.658, p=0.000\n", + "PHL-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.631, p=0.000\n", + "PHL-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.661, p=0.000\n", + "PHL-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.670, p=0.000\n", + "PHL-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.670, p=0.000\n", + "PHL-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.854, p=0.001\n", + "PHL-Electric power consumption (kWh per capita)\n", + "Statistical=0.880, p=0.002\n", + "PHL-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.859, p=0.001\n", + "PHL-Electricity production from coal sources (% of total)\n", + "Statistical=0.880, p=0.002\n", + "PHL-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.807, p=0.000\n", + "PHL-Electricity production from nuclear sources (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Electricity production from oil sources (% of total)\n", + "Statistical=0.848, p=0.000\n", + "PHL-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.742, p=0.000\n", + "PHL-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.657, p=0.000\n", + "PHL-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.707, p=0.000\n", + "PHL-Energy related methane emissions (% of total)\n", + "Statistical=0.728, p=0.000\n", + "PHL-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.807, p=0.000\n", + "PHL-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Export unit value index (2000 = 100)\n", + "Statistical=0.862, p=0.001\n", + "PHL-Export value index (2000 = 100)\n", + "Statistical=0.638, p=0.000\n", + "PHL-Export volume index (2000 = 100)\n", + "Statistical=0.868, p=0.001\n", + "PHL-Exports of goods and services (% of GDP)\n", + "Statistical=0.792, p=0.000\n", + "PHL-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.910, p=0.011\n", + "PHL-Exports of goods and services (current US$)\n", + "Statistical=0.849, p=0.000\n", + "PHL-External balance on goods and services (% of GDP)\n", + "Statistical=0.855, p=0.001\n", + "PHL-External balance on goods and services (current US$)\n", + "Statistical=0.974, p=0.607\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.845, p=0.000\n", + "PHL-Final consumption expenditure (% of GDP)\n", + "Statistical=0.846, p=0.000\n", + "PHL-Final consumption expenditure (current US$)\n", + "Statistical=0.849, p=0.000\n", + "PHL-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.887, p=0.003\n", + "PHL-Firms offering formal training (% of firms)\n", + "Statistical=0.928, p=0.034\n", + "PHL-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.885, p=0.003\n", + "PHL-Firms using banks to finance working capital (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Firms with female participation in ownership (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Fixed broadband subscriptions\n", + "Statistical=0.873, p=0.001\n", + "PHL-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.911, p=0.012\n", + "PHL-Fixed telephone subscriptions\n", + "Statistical=0.844, p=0.000\n", + "PHL-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.904, p=0.008\n", + "PHL-Food exports (% of merchandise exports)\n", + "Statistical=0.956, p=0.215\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Food imports (% of merchandise imports)\n", + "Statistical=0.868, p=0.001\n", + "PHL-Food production index (2014-2016 = 100)\n", + "Statistical=0.868, p=0.001\n", + "PHL-Forest area (% of land area)\n", + "Statistical=0.854, p=0.001\n", + "PHL-Forest area (sq. km)\n", + "Statistical=0.881, p=0.002\n", + "PHL-Forest rents (% of GDP)\n", + "Statistical=0.907, p=0.010\n", + "PHL-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.839, p=0.000\n", + "PHL-Fuel exports (% of merchandise exports)\n", + "Statistical=0.846, p=0.000\n", + "PHL-Fuel imports (% of merchandise imports)\n", + "Statistical=0.847, p=0.000\n", + "PHL-GDP (current US$)\n", + "Statistical=0.898, p=0.005\n", + "PHL-GDP deflator (base year varies by country)\n", + "Statistical=0.887, p=0.003\n", + "PHL-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.872, p=0.001\n", + "PHL-GDP growth (annual %)\n", + "Statistical=0.860, p=0.001\n", + "PHL-GDP per capita (current US$)\n", + "Statistical=0.932, p=0.044\n", + "PHL-GDP per capita growth (annual %)\n", + "Statistical=0.890, p=0.003\n", + "PHL-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.912, p=0.013\n", + "PHL-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.910, p=0.011\n", + "PHL-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.912, p=0.013\n", + "PHL-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.898, p=0.006\n", + "PHL-GNI (current US$)\n", + "Statistical=0.912, p=0.013\n", + "PHL-GNI growth (annual %)\n", + "Statistical=0.921, p=0.022\n", + "PHL-GNI per capita growth (annual %)\n", + "Statistical=0.911, p=0.012\n", + "PHL-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.977, p=0.708\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-General government final consumption expenditure (current US$)\n", + "Statistical=0.956, p=0.217\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Gini index\n", + "Statistical=0.971, p=0.515\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Goods exports (BoP, current US$)\n", + "Statistical=0.909, p=0.011\n", + "PHL-Goods imports (BoP, current US$)\n", + "Statistical=0.786, p=0.000\n", + "PHL-Grants and other revenue (% of revenue)\n", + "Statistical=0.883, p=0.002\n", + "PHL-Gross capital formation (% of GDP)\n", + "Statistical=0.880, p=0.002\n", + "PHL-Gross capital formation (current US$)\n", + "Statistical=0.897, p=0.005\n", + "PHL-Gross domestic savings (% of GDP)\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Gross domestic savings (current US$)\n", + "Statistical=0.841, p=0.000\n", + "PHL-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.809, p=0.000\n", + "PHL-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Gross national expenditure (current US$)\n", + "Statistical=0.585, p=0.000\n", + "PHL-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.948, p=0.130\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Gross savings (% of GDP)\n", + "Statistical=0.841, p=0.000\n", + "PHL-Gross savings (current US$)\n", + "Statistical=0.948, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.813, p=0.000\n", + "PHL-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.913, p=0.013\n", + "PHL-High-technology exports (% of manufactured exports)\n", + "Statistical=0.894, p=0.004\n", + "PHL-High-technology exports (current US$)\n", + "Statistical=0.849, p=0.000\n", + "PHL-Hospital beds (per 1,000 people)\n", + "Statistical=0.849, p=0.000\n", + "PHL-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.809, p=0.000\n", + "PHL-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.823, p=0.000\n", + "PHL-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.823, p=0.000\n", + "PHL-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.823, p=0.000\n", + "PHL-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.875, p=0.002\n", + "PHL-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.953, p=0.177\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.925, p=0.029\n", + "PHL-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.890, p=0.003\n", + "PHL-ICT goods exports (% of total goods exports)\n", + "Statistical=0.861, p=0.001\n", + "PHL-ICT goods imports (% total goods imports)\n", + "Statistical=0.871, p=0.001\n", + "PHL-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.813, p=0.000\n", + "PHL-ICT service exports (BoP, current US$)\n", + "Statistical=0.810, p=0.000\n", + "PHL-Import unit value index (2000 = 100)\n", + "Statistical=0.838, p=0.000\n", + "PHL-Import value index (2000 = 100)\n", + "Statistical=0.852, p=0.000\n", + "PHL-Import volume index (2000 = 100)\n", + "Statistical=0.856, p=0.001\n", + "PHL-Imports of goods and services (% of GDP)\n", + "Statistical=0.869, p=0.001\n", + "PHL-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.901, p=0.006\n", + "PHL-Imports of goods and services (current US$)\n", + "Statistical=0.904, p=0.008\n", + "PHL-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=0.478, p=0.000\n", + "PHL-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "PHL-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Income share held by highest 20%\n", + "Statistical=0.870, p=0.001\n", + "PHL-Income share held by lowest 10%\n", + "Statistical=0.970, p=0.499\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Income share held by lowest 20%\n", + "Statistical=0.970, p=0.495\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Income share held by second 20%\n", + "Statistical=0.948, p=0.129\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Income share held by third 20%\n", + "Statistical=0.880, p=0.002\n", + "PHL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.921, p=0.022\n", + "PHL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.806, p=0.000\n", + "PHL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.777, p=0.000\n", + "PHL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.883, p=0.002\n", + "PHL-Individuals using the Internet (% of population)\n", + "Statistical=0.796, p=0.000\n", + "PHL-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.827, p=0.000\n", + "PHL-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.460, p=0.000\n", + "PHL-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.840, p=0.000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PHL-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.871, p=0.001\n", + "PHL-Intentional homicides (per 100,000 people)\n", + "Statistical=0.876, p=0.002\n", + "PHL-Interest payments (% of revenue)\n", + "Statistical=0.855, p=0.001\n", + "PHL-International migrant stock (% of population)\n", + "Statistical=0.787, p=0.000\n", + "PHL-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.864, p=0.001\n", + "PHL-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.726, p=0.000\n", + "PHL-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.688, p=0.000\n", + "PHL-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.721, p=0.000\n", + "PHL-Land area (sq. km)\n", + "Statistical=0.838, p=0.000\n", + "PHL-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.890, p=0.004\n", + "PHL-Land under cereal production (hectares)\n", + "Statistical=0.864, p=0.001\n", + "PHL-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.896, p=0.005\n", + "PHL-Lifetime risk of maternal death (%)\n", + "Statistical=0.922, p=0.024\n", + "PHL-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.881, p=0.002\n", + "PHL-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Livestock production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.748, p=0.000\n", + "PHL-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.911, p=0.012\n", + "PHL-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.917, p=0.017\n", + "PHL-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.846, p=0.000\n", + "PHL-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.946, p=0.111\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.890, p=0.003\n", + "PHL-Low-birthweight babies (% of births)\n", + "Statistical=0.881, p=0.002\n", + "PHL-Lower secondary school starting age (years)\n", + "Statistical=0.946, p=0.112\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.900, p=0.006\n", + "PHL-Marine protected areas (% of territorial waters)\n", + "Statistical=0.900, p=0.006\n", + "PHL-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.898, p=0.005\n", + "PHL-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.947, p=0.118\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.912, p=0.013\n", + "PHL-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.932, p=0.044\n", + "PHL-Merchandise exports (current US$)\n", + "Statistical=0.878, p=0.002\n", + "PHL-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.946, p=0.111\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.929, p=0.037\n", + "PHL-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.898, p=0.005\n", + "PHL-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.834, p=0.000\n", + "PHL-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.869, p=0.001\n", + "PHL-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.800, p=0.000\n", + "PHL-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.867, p=0.001\n", + "PHL-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.798, p=0.000\n", + "PHL-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Merchandise imports (current US$)\n", + "Statistical=0.823, p=0.000\n", + "PHL-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.913, p=0.013\n", + "PHL-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.970, p=0.508\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.804, p=0.000\n", + "PHL-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.804, p=0.000\n", + "PHL-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.980, p=0.805\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.947, p=0.119\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.943, p=0.091\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.949, p=0.131\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.930, p=0.040\n", + "PHL-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.928, p=0.034\n", + "PHL-Merchandise trade (% of GDP)\n", + "Statistical=0.979, p=0.780\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Methane emissions (% change from 1990)\n", + "Statistical=0.916, p=0.016\n", + "PHL-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.916, p=0.016\n", + "PHL-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Military expenditure (% of GDP)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Military expenditure (% of general government expenditure)\n", + "Statistical=0.933, p=0.048\n", + "PHL-Military expenditure (current USD)\n", + "Statistical=0.968, p=0.439\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Mineral rents (% of GDP)\n", + "Statistical=0.277, p=0.000\n", + "PHL-Mobile cellular subscriptions\n", + "Statistical=0.853, p=0.000\n", + "PHL-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.881, p=0.002\n", + "PHL-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.867, p=0.001\n", + "PHL-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.883, p=0.002\n", + "PHL-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.890, p=0.003\n", + "PHL-Natural gas rents (% of GDP)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.825, p=0.000\n", + "PHL-Net capital account (BoP, current US$)\n", + "Statistical=0.953, p=0.178\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.966, p=0.403\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Net financial account (BoP, current US$)\n", + "Statistical=0.979, p=0.773\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Net migration\n", + "Statistical=0.895, p=0.005\n", + "PHL-Net primary income (BoP, current US$)\n", + "Statistical=0.895, p=0.005\n", + "PHL-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.886, p=0.003\n", + "PHL-Net secondary income (BoP, current US$)\n", + "Statistical=0.852, p=0.000\n", + "PHL-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.657, p=0.000\n", + "PHL-Net trade in goods (BoP, current US$)\n", + "Statistical=0.657, p=0.000\n", + "PHL-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.657, p=0.000\n", + "PHL-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.657, p=0.000\n", + "PHL-New businesses registered (number)\n", + "Statistical=0.657, p=0.000\n", + "PHL-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.758, p=0.000\n", + "PHL-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.771, p=0.000\n", + "PHL-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.891, p=0.004\n", + "PHL-Number of deaths ages 10-14 years\n", + "Statistical=0.843, p=0.000\n", + "PHL-Number of deaths ages 15-19 years\n", + "Statistical=0.894, p=0.004\n", + "PHL-Number of deaths ages 20-24 years\n", + "Statistical=0.925, p=0.029\n", + "PHL-Number of deaths ages 5-9 years\n", + "Statistical=0.895, p=0.005\n", + "PHL-Number of infant deaths\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Number of maternal deaths\n", + "Statistical=0.981, p=0.832\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Number of neonatal deaths\n", + "Statistical=0.970, p=0.491\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Number of under-five deaths\n", + "Statistical=0.833, p=0.000\n", + "PHL-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.977, p=0.719\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.882, p=0.002\n", + "PHL-Oil rents (% of GDP)\n", + "Statistical=0.932, p=0.044\n", + "PHL-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.932, p=0.044\n", + "PHL-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.903, p=0.007\n", + "PHL-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.964, p=0.345\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.913, p=0.014\n", + "PHL-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.892, p=0.004\n", + "PHL-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.892, p=0.004\n", + "PHL-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.892, p=0.004\n", + "PHL-People using at least basic drinking water services (% of population)\n", + "Statistical=0.849, p=0.000\n", + "PHL-People using at least basic sanitation services (% of population)\n", + "Statistical=0.927, p=0.033\n", + "PHL-People using safely managed sanitation services (% of population)\n", + "Statistical=0.927, p=0.033\n", + "PHL-Permanent cropland (% of land area)\n", + "Statistical=0.893, p=0.004\n", + "PHL-Physicians (per 1,000 people)\n", + "Statistical=0.875, p=0.002\n", + "PHL-Population ages 0-14 (% of total population)\n", + "Statistical=0.875, p=0.002\n", + "PHL-Population ages 15-64 (% of total population)\n", + "Statistical=0.913, p=0.013\n", + "PHL-Population ages 65 and above (% of total population)\n", + "Statistical=0.847, p=0.000\n", + "PHL-Population density (people per sq. km of land area)\n", + "Statistical=0.900, p=0.006\n", + "PHL-Population growth (annual %)\n", + "Statistical=0.875, p=0.002\n", + "PHL-Population in largest city\n", + "Statistical=0.897, p=0.005\n", + "PHL-Population in the largest city (% of urban population)\n", + "Statistical=0.851, p=0.000\n", + "PHL-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.818, p=0.000\n", + "PHL-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.801, p=0.000\n", + "PHL-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.892, p=0.004\n", + "PHL-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.893, p=0.004\n", + "PHL-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.892, p=0.004\n", + "PHL-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.908, p=0.010\n", + "PHL-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.908, p=0.010\n", + "PHL-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.895, p=0.005\n", + "PHL-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.850, p=0.000\n", + "PHL-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.948, p=0.130\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.907, p=0.009\n", + "PHL-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.907, p=0.009\n", + "PHL-Prevalence of undernourishment (% of population)\n", + "Statistical=0.916, p=0.016\n", + "PHL-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.933, p=0.047\n", + "PHL-Primary income payments (BoP, current US$)\n", + "Statistical=0.848, p=0.000\n", + "PHL-Primary income receipts (BoP, current US$)\n", + "Statistical=0.907, p=0.009\n", + "PHL-Primary school starting age (years)\n", + "Statistical=0.911, p=0.012\n", + "PHL-Private credit bureau coverage (% of adults)\n", + "Statistical=0.848, p=0.000\n", + "PHL-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.908, p=0.010\n", + "PHL-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.902, p=0.007\n", + "PHL-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.895, p=0.005\n", + "PHL-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.944, p=0.098\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Procedures to build a warehouse (number)\n", + "Statistical=0.980, p=0.793\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Procedures to register property (number)\n", + "Statistical=0.805, p=0.000\n", + "PHL-Profit tax (% of commercial profits)\n", + "Statistical=0.805, p=0.000\n", + "PHL-Progression to secondary school (%)\n", + "Statistical=0.847, p=0.000\n", + "PHL-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.833, p=0.000\n", + "PHL-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.813, p=0.000\n", + "PHL-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.945, p=0.105\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.918, p=0.018\n", + "PHL-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.960, p=0.271\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Public credit registry coverage (% of adults)\n", + "Statistical=0.743, p=0.000\n", + "PHL-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.751, p=0.000\n", + "PHL-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.776, p=0.000\n", + "PHL-Rail lines (total route-km)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.892, p=0.004\n", + "PHL-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.899, p=0.006\n", + "PHL-Refugee population by country or territory of asylum\n", + "Statistical=0.967, p=0.413\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Refugee population by country or territory of origin\n", + "Statistical=0.979, p=0.757\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.835, p=0.000\n", + "PHL-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.835, p=0.000\n", + "PHL-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.875, p=0.002\n", + "PHL-Research and development expenditure (% of GDP)\n", + "Statistical=0.839, p=0.000\n", + "PHL-Researchers in R&D (per million people)\n", + "Statistical=0.902, p=0.007\n", + "PHL-Reserves and related items (BoP, current US$)\n", + "Statistical=0.966, p=0.403\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.901, p=0.007\n", + "PHL-Rural land area (sq. km)\n", + "Statistical=0.843, p=0.000\n", + "PHL-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.821, p=0.000\n", + "PHL-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.862, p=0.001\n", + "PHL-Rural population\n", + "Statistical=0.767, p=0.000\n", + "PHL-Rural population (% of total population)\n", + "Statistical=0.767, p=0.000\n", + "PHL-Rural population growth (annual %)\n", + "Statistical=0.791, p=0.000\n", + "PHL-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.795, p=0.000\n", + "PHL-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.910, p=0.011\n", + "PHL-Scientific and technical journal articles\n", + "Statistical=0.890, p=0.003\n", + "PHL-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.895, p=0.005\n", + "PHL-Secure Internet servers\n", + "Statistical=0.964, p=0.363\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Secure Internet servers (per 1 million people)\n", + "Statistical=0.881, p=0.002\n", + "PHL-Service exports (BoP, current US$)\n", + "Statistical=0.881, p=0.002\n", + "PHL-Service imports (BoP, current US$)\n", + "Statistical=0.883, p=0.002\n", + "PHL-Sex ratio at birth (male births per female births)\n", + "Statistical=0.846, p=0.000\n", + "PHL-Social contributions (% of revenue)\n", + "Statistical=0.932, p=0.045\n", + "PHL-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.817, p=0.000\n", + "PHL-Start-up procedures to register a business (number)\n", + "Statistical=0.832, p=0.000\n", + "PHL-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.913, p=0.014\n", + "PHL-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.874, p=0.001\n", + "PHL-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.394, p=0.000\n", + "PHL-Surface area (sq. km)\n", + "Statistical=0.372, p=0.000\n", + "PHL-Tax payments (number)\n", + "Statistical=0.858, p=0.001\n", + "PHL-Tax revenue (% of GDP)\n", + "Statistical=0.949, p=0.132\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Taxes less subsidies on products (current US$)\n", + "Statistical=0.907, p=0.010\n", + "PHL-Taxes on goods and services (% of revenue)\n", + "Statistical=0.907, p=0.010\n", + "PHL-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.892, p=0.004\n", + "PHL-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.853, p=0.000\n", + "PHL-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.902, p=0.007\n", + "PHL-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.973, p=0.597\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Time required to build a warehouse (days)\n", + "Statistical=0.907, p=0.010\n", + "PHL-Time required to enforce a contract (days)\n", + "Statistical=0.896, p=0.005\n", + "PHL-Time required to get electricity (days)\n", + "Statistical=0.972, p=0.550\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Time required to register property (days)\n", + "Statistical=0.892, p=0.004\n", + "PHL-Time required to start a business (days)\n", + "Statistical=0.343, p=0.000\n", + "PHL-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.334, p=0.000\n", + "PHL-Time to obtain an electrical connection (days)\n", + "Statistical=0.348, p=0.000\n", + "PHL-Time to prepare and pay taxes (hours)\n", + "Statistical=0.376, p=0.000\n", + "PHL-Time to resolve insolvency (years)\n", + "Statistical=0.375, p=0.000\n", + "PHL-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.345, p=0.000\n", + "PHL-Total fisheries production (metric tons)\n", + "Statistical=0.412, p=0.000\n", + "PHL-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.418, p=0.000\n", + "PHL-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.346, p=0.000\n", + "PHL-Total natural resources rents (% of GDP)\n", + "Statistical=0.915, p=0.015\n", + "PHL-Total reserves (includes gold, current US$)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Total reserves in months of imports\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Total reserves minus gold (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Total tax and contribution rate (% of profit)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Trade (% of GDP)\n", + "Statistical=0.899, p=0.006\n", + "PHL-Trade in services (% of GDP)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Transport services (% of commercial service exports)\n", + "Statistical=0.963, p=0.335\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Transport services (% of commercial service imports)\n", + "Statistical=0.951, p=0.156\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Transport services (% of service exports, BoP)\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Transport services (% of service imports, BoP)\n", + "Statistical=0.949, p=0.132\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Travel services (% of commercial service exports)\n", + "Statistical=0.912, p=0.013\n", + "PHL-Travel services (% of commercial service imports)\n", + "Statistical=0.971, p=0.520\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Travel services (% of service exports, BoP)\n", + "Statistical=0.887, p=0.003\n", + "PHL-Travel services (% of service imports, BoP)\n", + "Statistical=0.887, p=0.003\n", + "PHL-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.913, p=0.013\n", + "PHL-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.909, p=0.011\n", + "PHL-UHC service coverage index\n", + "Statistical=0.914, p=0.014\n", + "PHL-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.863, p=0.001\n", + "PHL-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.756, p=0.000\n", + "PHL-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.838, p=0.000\n", + "PHL-Urban land area (sq. km)\n", + "Statistical=0.820, p=0.000\n", + "PHL-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.806, p=0.000\n", + "PHL-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.772, p=0.000\n", + "PHL-Urban population\n", + "Statistical=0.789, p=0.000\n", + "PHL-Urban population (% of total population)\n", + "Statistical=0.830, p=0.000\n", + "PHL-Urban population growth (annual %)\n", + "Statistical=0.902, p=0.007\n", + "PHL-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.902, p=0.007\n", + "PHL-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.865, p=0.001\n", + "PHL-GDP (current US$)+1\n", + "Statistical=0.865, p=0.001\n", + "PHL-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-GDP (current US$)+2\n", + "Statistical=0.931, p=0.043\n", + "PHL-GDP (current US$)+3\n", + "Statistical=0.947, p=0.116\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-GDP (current US$)+5\n", + "Statistical=0.967, p=0.410\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-GDP (current US$)+8\n", + "Statistical=0.910, p=0.011\n", + "PHL-GDP (current US$)+13\n", + "Statistical=0.891, p=0.004\n", + "PHL-GDP (current US$)+21\n", + "Statistical=0.891, p=0.004\n", + "PHL-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.909, p=0.011\n", + "PHL-Deposit interest rate (%)\n", + "Statistical=0.855, p=0.001\n", + "PHL-Other taxes (% of revenue)\n", + "Statistical=0.858, p=0.001\n", + "PHL-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.970, p=0.510\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Taxes on international trade (% of revenue)\n", + "Statistical=0.970, p=0.508\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.944, p=0.097\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Broad money (% of GDP)\n", + "Statistical=0.970, p=0.491\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Broad money growth (annual %)\n", + "Statistical=0.956, p=0.214\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Broad money to total reserves ratio\n", + "Statistical=0.970, p=0.507\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.958, p=0.238\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.897, p=0.005\n", + "PHL-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-External health expenditure (% of current health expenditure)\n", + "Statistical=0.829, p=0.000\n", + "PHL-External health expenditure per capita (current US$)\n", + "Statistical=0.742, p=0.000\n", + "PHL-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.807, p=0.000\n", + "PHL-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.925, p=0.029\n", + "PHL-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.946, p=0.112\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.827, p=0.000\n", + "PHL-People practicing open defecation (% of population)\n", + "Statistical=0.934, p=0.050\n", + "PHL-Taxes on exports (% of tax revenue)\n", + "Statistical=0.822, p=0.000\n", + "PHL-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.814, p=0.000\n", + "PHL-Country\n", + "Statistical=0.940, p=0.076\n", + "Data is NORMAL ( H0 not denied )\n", + "PHL-Year\n", + "Statistical=0.877, p=0.002\n", + "PHL-Continent\n", + "Statistical=0.904, p=0.008\n", + "KOR-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.620, p=0.000\n", + "KOR-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.566, p=0.000\n", + "KOR-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.627, p=0.000\n", + "KOR-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.599, p=0.000\n", + "KOR-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.663, p=0.000\n", + "KOR-Age dependency ratio (% of working-age population)\n", + "Statistical=0.543, p=0.000\n", + "KOR-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.597, p=0.000\n", + "KOR-Agricultural land (% of land area)\n", + "Statistical=0.620, p=0.000\n", + "KOR-Agricultural land (sq. km)\n", + "Statistical=0.620, p=0.000\n", + "KOR-Agricultural methane emissions (% of total)\n", + "Statistical=0.894, p=0.004\n", + "KOR-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.578, p=0.000\n", + "KOR-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.444, p=0.000\n", + "KOR-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.959, p=0.253\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.912, p=0.013\n", + "KOR-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.965, p=0.384\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Aquaculture production (metric tons)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Arable land (% of land area)\n", + "Statistical=0.915, p=0.015\n", + "KOR-Arable land (hectares per person)\n", + "Statistical=0.847, p=0.000\n", + "KOR-Arable land (hectares)\n", + "Statistical=0.913, p=0.013\n", + "KOR-Armed forces personnel (% of total labor force)\n", + "Statistical=0.850, p=0.000\n", + "KOR-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.913, p=0.014\n", + "KOR-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.919, p=0.020\n", + "KOR-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.921, p=0.022\n", + "KOR-Average precipitation in depth (mm per year)\n", + "Statistical=0.850, p=0.000\n", + "KOR-Average time to clear exports through customs (days)\n", + "Statistical=0.914, p=0.014\n", + "KOR-Births attended by skilled health staff (% of total)\n", + "Statistical=0.885, p=0.003\n", + "KOR-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.881, p=0.002\n", + "KOR-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.878, p=0.002\n", + "KOR-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.884, p=0.002\n", + "KOR-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.962, p=0.320\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-CO2 emissions (kt)\n", + "Statistical=0.771, p=0.000\n", + "KOR-CO2 emissions (metric tons per capita)\n", + "Statistical=0.805, p=0.000\n", + "KOR-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.968, p=0.457\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.816, p=0.000\n", + "KOR-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.921, p=0.023\n", + "KOR-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.802, p=0.000\n", + "KOR-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.904, p=0.008\n", + "KOR-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.894, p=0.004\n", + "KOR-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.932, p=0.044\n", + "KOR-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.948, p=0.125\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Capture fisheries production (metric tons)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Cereal production (metric tons)\n", + "Statistical=0.917, p=0.018\n", + "KOR-Cereal yield (kg per hectare)\n", + "Statistical=0.925, p=0.028\n", + "KOR-Changes in inventories (current US$)\n", + "Statistical=0.933, p=0.048\n", + "KOR-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.692, p=0.000\n", + "KOR-Children out of school (% of primary school age)\n", + "Statistical=0.948, p=0.128\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Coal rents (% of GDP)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.778, p=0.000\n", + "KOR-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.797, p=0.000\n", + "KOR-Commercial service exports (current US$)\n", + "Statistical=0.908, p=0.010\n", + "KOR-Commercial service imports (current US$)\n", + "Statistical=0.951, p=0.156\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Completeness of birth registration (%)\n", + "Statistical=0.833, p=0.000\n", + "KOR-Consumer price index (2010 = 100)\n", + "Statistical=0.869, p=0.001\n", + "KOR-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.927, p=0.033\n", + "KOR-Crop production index (2014-2016 = 100)\n", + "Statistical=0.814, p=0.000\n", + "KOR-Current account balance (% of GDP)\n", + "Statistical=0.845, p=0.000\n", + "KOR-Current account balance (BoP, current US$)\n", + "Statistical=0.963, p=0.333\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Current health expenditure (% of GDP)\n", + "Statistical=0.932, p=0.044\n", + "KOR-Current health expenditure per capita (current US$)\n", + "Statistical=0.932, p=0.044\n", + "KOR-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.946, p=0.110\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.895, p=0.005\n", + "KOR-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.962, p=0.318\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.864, p=0.001\n", + "KOR-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.974, p=0.612\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.901, p=0.007\n", + "KOR-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.925, p=0.028\n", + "KOR-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.950, p=0.147\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.777, p=0.000\n", + "KOR-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.654, p=0.000\n", + "KOR-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.654, p=0.000\n", + "KOR-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.885, p=0.003\n", + "KOR-Electric power consumption (kWh per capita)\n", + "Statistical=0.951, p=0.153\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Electricity production from coal sources (% of total)\n", + "Statistical=0.952, p=0.160\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.926, p=0.030\n", + "KOR-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.854, p=0.001\n", + "KOR-Electricity production from oil sources (% of total)\n", + "Statistical=0.980, p=0.799\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.775, p=0.000\n", + "KOR-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.787, p=0.000\n", + "KOR-Energy related methane emissions (% of total)\n", + "Statistical=0.838, p=0.000\n", + "KOR-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.732, p=0.000\n", + "KOR-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.923, p=0.026\n", + "KOR-Export unit value index (2000 = 100)\n", + "Statistical=0.640, p=0.000\n", + "KOR-Export value index (2000 = 100)\n", + "Statistical=0.831, p=0.000\n", + "KOR-Export volume index (2000 = 100)\n", + "Statistical=0.776, p=0.000\n", + "KOR-Exports of goods and services (% of GDP)\n", + "Statistical=0.812, p=0.000\n", + "KOR-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.858, p=0.001\n", + "KOR-Exports of goods and services (current US$)\n", + "Statistical=0.913, p=0.014\n", + "KOR-External balance on goods and services (% of GDP)\n", + "Statistical=0.922, p=0.023\n", + "KOR-External balance on goods and services (current US$)\n", + "Statistical=0.972, p=0.543\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.540, p=0.000\n", + "KOR-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.876, p=0.002\n", + "KOR-Final consumption expenditure (% of GDP)\n", + "Statistical=0.876, p=0.002\n", + "KOR-Final consumption expenditure (current US$)\n", + "Statistical=0.882, p=0.002\n", + "KOR-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.927, p=0.032\n", + "KOR-Firms offering formal training (% of firms)\n", + "Statistical=0.912, p=0.013\n", + "KOR-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.858, p=0.001\n", + "KOR-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.899, p=0.006\n", + "KOR-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.906, p=0.009\n", + "KOR-Fixed broadband subscriptions\n", + "Statistical=0.870, p=0.001\n", + "KOR-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.975, p=0.632\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Fixed telephone subscriptions\n", + "Statistical=0.828, p=0.000\n", + "KOR-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.871, p=0.001\n", + "KOR-Food exports (% of merchandise exports)\n", + "Statistical=0.870, p=0.001\n", + "KOR-Food imports (% of merchandise imports)\n", + "Statistical=0.890, p=0.003\n", + "KOR-Food production index (2014-2016 = 100)\n", + "Statistical=0.860, p=0.001\n", + "KOR-Forest area (% of land area)\n", + "Statistical=0.907, p=0.009\n", + "KOR-Forest area (sq. km)\n", + "Statistical=0.825, p=0.000\n", + "KOR-Forest rents (% of GDP)\n", + "Statistical=0.937, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.683, p=0.000\n", + "KOR-Fuel exports (% of merchandise exports)\n", + "Statistical=0.827, p=0.000\n", + "KOR-Fuel imports (% of merchandise imports)\n", + "Statistical=0.829, p=0.000\n", + "KOR-GDP (current US$)\n", + "Statistical=0.942, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-GDP deflator (base year varies by country)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.851, p=0.000\n", + "KOR-GDP growth (annual %)\n", + "Statistical=0.923, p=0.026\n", + "KOR-GDP per capita (current US$)\n", + "Statistical=0.872, p=0.001\n", + "KOR-GDP per capita growth (annual %)\n", + "Statistical=0.851, p=0.000\n", + "KOR-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.967, p=0.415\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.917, p=0.017\n", + "KOR-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.852, p=0.000\n", + "KOR-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-GNI (current US$)\n", + "Statistical=0.908, p=0.010\n", + "KOR-GNI growth (annual %)\n", + "Statistical=0.855, p=0.001\n", + "KOR-GNI per capita growth (annual %)\n", + "Statistical=0.885, p=0.003\n", + "KOR-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.969, p=0.471\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-General government final consumption expenditure (current US$)\n", + "Statistical=0.969, p=0.478\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Gini index\n", + "Statistical=0.928, p=0.034\n", + "KOR-Goods exports (BoP, current US$)\n", + "Statistical=0.867, p=0.001\n", + "KOR-Goods imports (BoP, current US$)\n", + "Statistical=0.862, p=0.001\n", + "KOR-Grants and other revenue (% of revenue)\n", + "Statistical=0.879, p=0.002\n", + "KOR-Gross capital formation (% of GDP)\n", + "Statistical=0.891, p=0.004\n", + "KOR-Gross capital formation (current US$)\n", + "Statistical=0.886, p=0.003\n", + "KOR-Gross domestic savings (% of GDP)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Gross domestic savings (current US$)\n", + "Statistical=0.927, p=0.031\n", + "KOR-Gross fixed capital formation (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Gross fixed capital formation (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Gross national expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Gross national expenditure (current US$)\n", + "Statistical=0.660, p=0.000\n", + "KOR-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.918, p=0.018\n", + "KOR-Gross savings (% of GDP)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Gross savings (current US$)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.842, p=0.000\n", + "KOR-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.948, p=0.123\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-High-technology exports (% of manufactured exports)\n", + "Statistical=0.831, p=0.000\n", + "KOR-High-technology exports (current US$)\n", + "Statistical=0.887, p=0.003\n", + "KOR-Hospital beds (per 1,000 people)\n", + "Statistical=0.914, p=0.014\n", + "KOR-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.886, p=0.003\n", + "KOR-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.805, p=0.000\n", + "KOR-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.805, p=0.000\n", + "KOR-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.805, p=0.000\n", + "KOR-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.933, p=0.047\n", + "KOR-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.980, p=0.810\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.899, p=0.006\n", + "KOR-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.852, p=0.000\n", + "KOR-ICT goods exports (% of total goods exports)\n", + "Statistical=0.719, p=0.000\n", + "KOR-ICT goods imports (% total goods imports)\n", + "Statistical=0.809, p=0.000\n", + "KOR-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.850, p=0.000\n", + "KOR-ICT service exports (BoP, current US$)\n", + "Statistical=0.829, p=0.000\n", + "KOR-Import unit value index (2000 = 100)\n", + "Statistical=0.834, p=0.000\n", + "KOR-Import value index (2000 = 100)\n", + "Statistical=0.948, p=0.130\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Import volume index (2000 = 100)\n", + "Statistical=0.963, p=0.335\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Imports of goods and services (% of GDP)\n", + "Statistical=0.919, p=0.019\n", + "KOR-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.913, p=0.013\n", + "KOR-Imports of goods and services (current US$)\n", + "Statistical=0.873, p=0.001\n", + "KOR-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "KOR-Income share held by highest 10%\n", + "Statistical=0.462, p=0.000\n", + "KOR-Income share held by highest 20%\n", + "Statistical=0.931, p=0.041\n", + "KOR-Income share held by lowest 10%\n", + "Statistical=0.867, p=0.001\n", + "KOR-Income share held by lowest 20%\n", + "Statistical=0.862, p=0.001\n", + "KOR-Income share held by second 20%\n", + "Statistical=0.871, p=0.001\n", + "KOR-Income share held by third 20%\n", + "Statistical=0.837, p=0.000\n", + "KOR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.860, p=0.001\n", + "KOR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.839, p=0.000\n", + "KOR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.844, p=0.000\n", + "KOR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.837, p=0.000\n", + "KOR-Individuals using the Internet (% of population)\n", + "Statistical=0.815, p=0.000\n", + "KOR-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.814, p=0.000\n", + "KOR-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.400, p=0.000\n", + "KOR-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.907, p=0.009\n", + "KOR-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.914, p=0.014\n", + "KOR-Intentional homicides (per 100,000 people)\n", + "Statistical=0.911, p=0.012\n", + "KOR-Interest payments (% of revenue)\n", + "Statistical=0.899, p=0.006\n", + "KOR-International migrant stock (% of population)\n", + "Statistical=0.910, p=0.011\n", + "KOR-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.904, p=0.008\n", + "KOR-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.910, p=0.012\n", + "KOR-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.921, p=0.023\n", + "KOR-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.917, p=0.018\n", + "KOR-Land area (sq. km)\n", + "Statistical=0.903, p=0.007\n", + "KOR-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.910, p=0.011\n", + "KOR-Land under cereal production (hectares)\n", + "Statistical=0.907, p=0.009\n", + "KOR-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.870, p=0.001\n", + "KOR-Lifetime risk of maternal death (%)\n", + "Statistical=0.885, p=0.003\n", + "KOR-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.791, p=0.000\n", + "KOR-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.892, p=0.004\n", + "KOR-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.910, p=0.011\n", + "KOR-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.802, p=0.000\n", + "KOR-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.782, p=0.000\n", + "KOR-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.746, p=0.000\n", + "KOR-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.918, p=0.018\n", + "KOR-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.911, p=0.012\n", + "KOR-Low-birthweight babies (% of births)\n", + "Statistical=0.948, p=0.130\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Lower secondary school starting age (years)\n", + "Statistical=0.910, p=0.011\n", + "KOR-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.907, p=0.009\n", + "KOR-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.912, p=0.013\n", + "KOR-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.819, p=0.000\n", + "KOR-Marine protected areas (% of territorial waters)\n", + "Statistical=0.856, p=0.001\n", + "KOR-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.774, p=0.000\n", + "KOR-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.864, p=0.001\n", + "KOR-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.891, p=0.004\n", + "KOR-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.821, p=0.000\n", + "KOR-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.968, p=0.439\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.967, p=0.424\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Merchandise exports (current US$)\n", + "Statistical=0.980, p=0.787\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.972, p=0.567\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.928, p=0.035\n", + "KOR-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.951, p=0.153\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.889, p=0.003\n", + "KOR-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.894, p=0.004\n", + "KOR-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.953, p=0.172\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.913, p=0.014\n", + "KOR-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.923, p=0.024\n", + "KOR-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Merchandise imports (current US$)\n", + "Statistical=0.861, p=0.001\n", + "KOR-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.879, p=0.002\n", + "KOR-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.901, p=0.007\n", + "KOR-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.850, p=0.000\n", + "KOR-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.610, p=0.000\n", + "KOR-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.820, p=0.000\n", + "KOR-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.868, p=0.001\n", + "KOR-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.874, p=0.001\n", + "KOR-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.908, p=0.010\n", + "KOR-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.951, p=0.153\n", + "Data is NORMAL ( H0 not denied )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "KOR-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.876, p=0.002\n", + "KOR-Merchandise trade (% of GDP)\n", + "Statistical=0.954, p=0.187\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Methane emissions (% change from 1990)\n", + "Statistical=0.882, p=0.002\n", + "KOR-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.882, p=0.002\n", + "KOR-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.865, p=0.001\n", + "KOR-Military expenditure (% of GDP)\n", + "Statistical=0.870, p=0.001\n", + "KOR-Military expenditure (% of general government expenditure)\n", + "Statistical=0.876, p=0.002\n", + "KOR-Military expenditure (current USD)\n", + "Statistical=0.974, p=0.628\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Mineral rents (% of GDP)\n", + "Statistical=0.453, p=0.000\n", + "KOR-Mobile cellular subscriptions\n", + "Statistical=0.901, p=0.007\n", + "KOR-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.913, p=0.013\n", + "KOR-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Natural gas rents (% of GDP)\n", + "Statistical=0.953, p=0.176\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.839, p=0.000\n", + "KOR-Net capital account (BoP, current US$)\n", + "Statistical=0.916, p=0.016\n", + "KOR-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.964, p=0.355\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Net financial account (BoP, current US$)\n", + "Statistical=0.970, p=0.511\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Net migration\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Net primary income (BoP, current US$)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Net secondary income (BoP, current US$)\n", + "Statistical=0.918, p=0.018\n", + "KOR-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Net trade in goods (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Net trade in goods and services (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-New businesses registered (number)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.842, p=0.000\n", + "KOR-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.840, p=0.000\n", + "KOR-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Number of deaths ages 10-14 years\n", + "Statistical=0.958, p=0.238\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Number of deaths ages 15-19 years\n", + "Statistical=0.875, p=0.001\n", + "KOR-Number of deaths ages 20-24 years\n", + "Statistical=0.954, p=0.183\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Number of deaths ages 5-9 years\n", + "Statistical=0.894, p=0.004\n", + "KOR-Number of infant deaths\n", + "Statistical=0.889, p=0.003\n", + "KOR-Number of maternal deaths\n", + "Statistical=0.904, p=0.008\n", + "KOR-Number of neonatal deaths\n", + "Statistical=0.958, p=0.237\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Number of under-five deaths\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.880, p=0.002\n", + "KOR-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.844, p=0.000\n", + "KOR-Oil rents (% of GDP)\n", + "Statistical=0.928, p=0.035\n", + "KOR-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.968, p=0.459\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.897, p=0.005\n", + "KOR-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.965, p=0.377\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.948, p=0.125\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.931, p=0.042\n", + "KOR-People using at least basic drinking water services (% of population)\n", + "Statistical=0.914, p=0.014\n", + "KOR-People using at least basic sanitation services (% of population)\n", + "Statistical=0.945, p=0.101\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-People using safely managed sanitation services (% of population)\n", + "Statistical=0.945, p=0.101\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Permanent cropland (% of land area)\n", + "Statistical=0.964, p=0.351\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Physicians (per 1,000 people)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Population ages 0-14 (% of total population)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Population ages 15-64 (% of total population)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Population ages 65 and above (% of total population)\n", + "Statistical=0.916, p=0.016\n", + "KOR-Population density (people per sq. km of land area)\n", + "Statistical=0.966, p=0.403\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Population growth (annual %)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Population in largest city\n", + "Statistical=0.945, p=0.105\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Population in the largest city (% of urban population)\n", + "Statistical=0.927, p=0.032\n", + "KOR-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.869, p=0.001\n", + "KOR-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.851, p=0.000\n", + "KOR-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.931, p=0.042\n", + "KOR-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.930, p=0.040\n", + "KOR-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.912, p=0.013\n", + "KOR-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.961, p=0.297\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Prevalence of undernourishment (% of population)\n", + "Statistical=0.933, p=0.049\n", + "KOR-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.963, p=0.323\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Primary income payments (BoP, current US$)\n", + "Statistical=0.918, p=0.019\n", + "KOR-Primary income receipts (BoP, current US$)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Primary school starting age (years)\n", + "Statistical=0.944, p=0.099\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Private credit bureau coverage (% of adults)\n", + "Statistical=0.917, p=0.017\n", + "KOR-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.930, p=0.040\n", + "KOR-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.930, p=0.040\n", + "KOR-Procedures to build a warehouse (number)\n", + "Statistical=0.977, p=0.715\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Procedures to register property (number)\n", + "Statistical=0.920, p=0.021\n", + "KOR-Profit tax (% of commercial profits)\n", + "Statistical=0.920, p=0.021\n", + "KOR-Progression to secondary school (%)\n", + "Statistical=0.918, p=0.018\n", + "KOR-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.897, p=0.005\n", + "KOR-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.867, p=0.001\n", + "KOR-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.873, p=0.001\n", + "KOR-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.885, p=0.003\n", + "KOR-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.952, p=0.163\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Public credit registry coverage (% of adults)\n", + "Statistical=0.849, p=0.000\n", + "KOR-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.848, p=0.000\n", + "KOR-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.860, p=0.001\n", + "KOR-Rail lines (total route-km)\n", + "Statistical=0.956, p=0.220\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.850, p=0.000\n", + "KOR-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.768, p=0.000\n", + "KOR-Refugee population by country or territory of asylum\n", + "Statistical=0.882, p=0.002\n", + "KOR-Refugee population by country or territory of origin\n", + "Statistical=0.969, p=0.474\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.955, p=0.197\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.955, p=0.197\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Research and development expenditure (% of GDP)\n", + "Statistical=0.924, p=0.027\n", + "KOR-Researchers in R&D (per million people)\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Reserves and related items (BoP, current US$)\n", + "Statistical=0.964, p=0.355\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.921, p=0.023\n", + "KOR-Rural land area (sq. km)\n", + "Statistical=0.910, p=0.011\n", + "KOR-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.774, p=0.000\n", + "KOR-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.930, p=0.039\n", + "KOR-Rural population\n", + "Statistical=0.961, p=0.293\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Rural population (% of total population)\n", + "Statistical=0.961, p=0.293\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Rural population growth (annual %)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.925, p=0.028\n", + "KOR-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.961, p=0.299\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Scientific and technical journal articles\n", + "Statistical=0.977, p=0.710\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.968, p=0.453\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Secure Internet servers\n", + "Statistical=0.973, p=0.589\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Secure Internet servers (per 1 million people)\n", + "Statistical=0.949, p=0.133\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Service exports (BoP, current US$)\n", + "Statistical=0.949, p=0.133\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Service imports (BoP, current US$)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Sex ratio at birth (male births per female births)\n", + "Statistical=0.918, p=0.018\n", + "KOR-Social contributions (% of revenue)\n", + "Statistical=0.930, p=0.040\n", + "KOR-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.978, p=0.736\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Start-up procedures to register a business (number)\n", + "Statistical=0.971, p=0.524\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.919, p=0.019\n", + "KOR-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.903, p=0.007\n", + "KOR-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.930, p=0.038\n", + "KOR-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.912, p=0.012\n", + "KOR-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.830, p=0.000\n", + "KOR-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.752, p=0.000\n", + "KOR-Surface area (sq. km)\n", + "Statistical=0.730, p=0.000\n", + "KOR-Tax payments (number)\n", + "Statistical=0.868, p=0.001\n", + "KOR-Tax revenue (% of GDP)\n", + "Statistical=0.964, p=0.360\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Taxes less subsidies on products (current US$)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Taxes on goods and services (% of revenue)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.921, p=0.022\n", + "KOR-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.971, p=0.523\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Time required to build a warehouse (days)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Time required to enforce a contract (days)\n", + "Statistical=0.932, p=0.044\n", + "KOR-Time required to get electricity (days)\n", + "Statistical=0.974, p=0.615\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Time required to register property (days)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Time required to start a business (days)\n", + "Statistical=0.742, p=0.000\n", + "KOR-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.634, p=0.000\n", + "KOR-Time to obtain an electrical connection (days)\n", + "Statistical=0.757, p=0.000\n", + "KOR-Time to prepare and pay taxes (hours)\n", + "Statistical=0.526, p=0.000\n", + "KOR-Time to resolve insolvency (years)\n", + "Statistical=0.684, p=0.000\n", + "KOR-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.725, p=0.000\n", + "KOR-Total fisheries production (metric tons)\n", + "Statistical=0.420, p=0.000\n", + "KOR-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.755, p=0.000\n", + "KOR-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.762, p=0.000\n", + "KOR-Total natural resources rents (% of GDP)\n", + "Statistical=0.853, p=0.000\n", + "KOR-Total reserves (includes gold, current US$)\n", + "Statistical=0.878, p=0.002\n", + "KOR-Total reserves in months of imports\n", + "Statistical=0.861, p=0.001\n", + "KOR-Total reserves minus gold (current US$)\n", + "Statistical=0.731, p=0.000\n", + "KOR-Total tax and contribution rate (% of profit)\n", + "Statistical=0.805, p=0.000\n", + "KOR-Trade (% of GDP)\n", + "Statistical=0.791, p=0.000\n", + "KOR-Trade in services (% of GDP)\n", + "Statistical=0.853, p=0.000\n", + "KOR-Transport services (% of commercial service exports)\n", + "Statistical=0.949, p=0.132\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Transport services (% of commercial service imports)\n", + "Statistical=0.866, p=0.001\n", + "KOR-Transport services (% of service exports, BoP)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Transport services (% of service imports, BoP)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Travel services (% of commercial service exports)\n", + "Statistical=0.877, p=0.002\n", + "KOR-Travel services (% of commercial service imports)\n", + "Statistical=0.964, p=0.355\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Travel services (% of service exports, BoP)\n", + "Statistical=0.908, p=0.010\n", + "KOR-Travel services (% of service imports, BoP)\n", + "Statistical=0.908, p=0.010\n", + "KOR-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.880, p=0.002\n", + "KOR-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.875, p=0.001\n", + "KOR-UHC service coverage index\n", + "Statistical=0.877, p=0.002\n", + "KOR-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.876, p=0.002\n", + "KOR-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.800, p=0.000\n", + "KOR-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.715, p=0.000\n", + "KOR-Urban land area (sq. km)\n", + "Statistical=0.807, p=0.000\n", + "KOR-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.806, p=0.000\n", + "KOR-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.702, p=0.000\n", + "KOR-Urban population\n", + "Statistical=0.840, p=0.000\n", + "KOR-Urban population (% of total population)\n", + "Statistical=0.732, p=0.000\n", + "KOR-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.787, p=0.000\n", + "KOR-GDP (current US$)+1\n", + "Statistical=0.787, p=0.000\n", + "KOR-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=0.796, p=0.000\n", + "KOR-GDP (current US$)+2\n", + "Statistical=0.853, p=0.000\n", + "KOR-GDP (current US$)+3\n", + "Statistical=0.853, p=0.000\n", + "KOR-GDP (current US$)+5\n", + "Statistical=0.955, p=0.201\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-GDP (current US$)+8\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-GDP (current US$)+13\n", + "Statistical=0.478, p=0.000\n", + "KOR-GDP (current US$)+21\n", + "Statistical=0.478, p=0.000\n", + "KOR-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.925, p=0.028\n", + "KOR-Deposit interest rate (%)\n", + "Statistical=0.913, p=0.014\n", + "KOR-Other taxes (% of revenue)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.925, p=0.029\n", + "KOR-Taxes on international trade (% of revenue)\n", + "Statistical=0.925, p=0.029\n", + "KOR-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Broad money (% of GDP)\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Broad money growth (annual %)\n", + "Statistical=0.975, p=0.657\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Broad money to total reserves ratio\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.975, p=0.649\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.950, p=0.147\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-External health expenditure (% of current health expenditure)\n", + "Statistical=0.873, p=0.001\n", + "KOR-External health expenditure per capita (current US$)\n", + "Statistical=0.533, p=0.000\n", + "KOR-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.861, p=0.001\n", + "KOR-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.857, p=0.001\n", + "KOR-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.968, p=0.447\n", + "Data is NORMAL ( H0 not denied )\n", + "KOR-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.912, p=0.013\n", + "KOR-People practicing open defecation (% of population)\n", + "Statistical=0.832, p=0.000\n", + "KOR-Taxes on exports (% of tax revenue)\n", + "Statistical=0.913, p=0.014\n", + "KOR-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.845, p=0.000\n", + "KOR-Country\n", + "Statistical=0.922, p=0.024\n", + "KOR-Year\n", + "Statistical=0.838, p=0.000\n", + "KOR-Continent\n", + "Statistical=0.836, p=0.000\n", + "MEX-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Adjusted net national income (current US$)\n", + "Statistical=0.849, p=0.000\n", + "MEX-Adjusted net national income per capita (current US$)\n", + "Statistical=0.836, p=0.000\n", + "MEX-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.820, p=0.000\n", + "MEX-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.871, p=0.001\n", + "MEX-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.857, p=0.001\n", + "MEX-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.929, p=0.038\n", + "MEX-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.631, p=0.000\n", + "MEX-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.647, p=0.000\n", + "MEX-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.618, p=0.000\n", + "MEX-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.636, p=0.000\n", + "MEX-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.635, p=0.000\n", + "MEX-Age dependency ratio (% of working-age population)\n", + "Statistical=0.647, p=0.000\n", + "MEX-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.631, p=0.000\n", + "MEX-Agricultural land (% of land area)\n", + "Statistical=0.644, p=0.000\n", + "MEX-Agricultural land (sq. km)\n", + "Statistical=0.616, p=0.000\n", + "MEX-Agricultural methane emissions (% of total)\n", + "Statistical=0.752, p=0.000\n", + "MEX-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.540, p=0.000\n", + "MEX-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.540, p=0.000\n", + "MEX-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.984, p=0.907\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.952, p=0.163\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.918, p=0.019\n", + "MEX-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.982, p=0.854\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Aquaculture production (metric tons)\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Arable land (% of land area)\n", + "Statistical=0.911, p=0.012\n", + "MEX-Arable land (hectares per person)\n", + "Statistical=0.967, p=0.429\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Arable land (hectares)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Armed forces personnel (% of total labor force)\n", + "Statistical=0.965, p=0.369\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.952, p=0.167\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.918, p=0.019\n", + "MEX-Average precipitation in depth (mm per year)\n", + "Statistical=0.881, p=0.002\n", + "MEX-Average time to clear exports through customs (days)\n", + "Statistical=0.933, p=0.046\n", + "MEX-Births attended by skilled health staff (% of total)\n", + "Statistical=0.827, p=0.000\n", + "MEX-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.916, p=0.017\n", + "MEX-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.874, p=0.001\n", + "MEX-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.870, p=0.001\n", + "MEX-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.879, p=0.002\n", + "MEX-CO2 emissions (kt)\n", + "Statistical=0.870, p=0.001\n", + "MEX-CO2 emissions (metric tons per capita)\n", + "Statistical=0.816, p=0.000\n", + "MEX-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.875, p=0.002\n", + "MEX-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.973, p=0.593\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.790, p=0.000\n", + "MEX-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.968, p=0.449\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.927, p=0.032\n", + "MEX-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.868, p=0.001\n", + "MEX-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.847, p=0.000\n", + "MEX-Capture fisheries production (metric tons)\n", + "Statistical=0.854, p=0.000\n", + "MEX-Cereal production (metric tons)\n", + "Statistical=0.925, p=0.029\n", + "MEX-Cereal yield (kg per hectare)\n", + "Statistical=0.945, p=0.103\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Changes in inventories (current US$)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.755, p=0.000\n", + "MEX-Children out of school (% of primary school age)\n", + "Statistical=0.759, p=0.000\n", + "MEX-Coal rents (% of GDP)\n", + "Statistical=0.759, p=0.000\n", + "MEX-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.795, p=0.000\n", + "MEX-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.787, p=0.000\n", + "MEX-Commercial service exports (current US$)\n", + "Statistical=0.835, p=0.000\n", + "MEX-Commercial service imports (current US$)\n", + "Statistical=0.909, p=0.011\n", + "MEX-Completeness of birth registration (%)\n", + "Statistical=0.812, p=0.000\n", + "MEX-Consumer price index (2010 = 100)\n", + "Statistical=0.919, p=0.019\n", + "MEX-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.817, p=0.000\n", + "MEX-Crop production index (2014-2016 = 100)\n", + "Statistical=0.875, p=0.002\n", + "MEX-Current account balance (% of GDP)\n", + "Statistical=0.782, p=0.000\n", + "MEX-Current account balance (BoP, current US$)\n", + "Statistical=0.980, p=0.789\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Current health expenditure (% of GDP)\n", + "Statistical=0.929, p=0.037\n", + "MEX-Current health expenditure per capita (current US$)\n", + "Statistical=0.929, p=0.037\n", + "MEX-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.922, p=0.024\n", + "MEX-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.927, p=0.032\n", + "MEX-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.900, p=0.006\n", + "MEX-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.917, p=0.017\n", + "MEX-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.856, p=0.001\n", + "MEX-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.900, p=0.006\n", + "MEX-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.930, p=0.039\n", + "MEX-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.822, p=0.000\n", + "MEX-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.798, p=0.000\n", + "MEX-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.756, p=0.000\n", + "MEX-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.901, p=0.007\n", + "MEX-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.901, p=0.007\n", + "MEX-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.894, p=0.004\n", + "MEX-Electric power consumption (kWh per capita)\n", + "Statistical=0.954, p=0.185\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Electricity production from coal sources (% of total)\n", + "Statistical=0.954, p=0.185\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.950, p=0.141\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.783, p=0.000\n", + "MEX-Electricity production from nuclear sources (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Electricity production from oil sources (% of total)\n", + "Statistical=0.878, p=0.002\n", + "MEX-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.803, p=0.000\n", + "MEX-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.678, p=0.000\n", + "MEX-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.949, p=0.131\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Export unit value index (2000 = 100)\n", + "Statistical=0.851, p=0.000\n", + "MEX-Export value index (2000 = 100)\n", + "Statistical=0.803, p=0.000\n", + "MEX-Export volume index (2000 = 100)\n", + "Statistical=0.867, p=0.001\n", + "MEX-Exports of goods and services (% of GDP)\n", + "Statistical=0.743, p=0.000\n", + "MEX-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.881, p=0.002\n", + "MEX-Exports of goods and services (current US$)\n", + "Statistical=0.883, p=0.002\n", + "MEX-External balance on goods and services (% of GDP)\n", + "Statistical=0.944, p=0.098\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-External balance on goods and services (current US$)\n", + "Statistical=0.875, p=0.002\n", + "MEX-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.896, p=0.005\n", + "MEX-Final consumption expenditure (% of GDP)\n", + "Statistical=0.896, p=0.005\n", + "MEX-Final consumption expenditure (current US$)\n", + "Statistical=0.894, p=0.004\n", + "MEX-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.849, p=0.000\n", + "MEX-Firms offering formal training (% of firms)\n", + "Statistical=0.962, p=0.306\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.912, p=0.012\n", + "MEX-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.888, p=0.003\n", + "MEX-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.883, p=0.002\n", + "MEX-Fixed broadband subscriptions\n", + "Statistical=0.922, p=0.024\n", + "MEX-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.955, p=0.202\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Fixed telephone subscriptions\n", + "Statistical=0.872, p=0.001\n", + "MEX-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.919, p=0.020\n", + "MEX-Food exports (% of merchandise exports)\n", + "Statistical=0.849, p=0.000\n", + "MEX-Food imports (% of merchandise imports)\n", + "Statistical=0.933, p=0.047\n", + "MEX-Food production index (2014-2016 = 100)\n", + "Statistical=0.884, p=0.002\n", + "MEX-Forest area (% of land area)\n", + "Statistical=0.896, p=0.005\n", + "MEX-Forest area (sq. km)\n", + "Statistical=0.919, p=0.019\n", + "MEX-Forest rents (% of GDP)\n", + "Statistical=0.957, p=0.225\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.831, p=0.000\n", + "MEX-Fuel exports (% of merchandise exports)\n", + "Statistical=0.762, p=0.000\n", + "MEX-Fuel imports (% of merchandise imports)\n", + "Statistical=0.827, p=0.000\n", + "MEX-GDP (current US$)\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-GDP deflator (base year varies by country)\n", + "Statistical=0.918, p=0.018\n", + "MEX-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.967, p=0.413\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-GDP growth (annual %)\n", + "Statistical=0.977, p=0.710\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-GDP per capita (current US$)\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-GDP per capita growth (annual %)\n", + "Statistical=0.817, p=0.000\n", + "MEX-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.878, p=0.002\n", + "MEX-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.768, p=0.000\n", + "MEX-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.540, p=0.000\n", + "MEX-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.540, p=0.000\n", + "MEX-GNI (current US$)\n", + "Statistical=0.770, p=0.000\n", + "MEX-GNI growth (annual %)\n", + "Statistical=0.540, p=0.000\n", + "MEX-GNI per capita growth (annual %)\n", + "Statistical=0.540, p=0.000\n", + "MEX-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.974, p=0.624\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-General government final consumption expenditure (current US$)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Gini index\n", + "Statistical=0.930, p=0.039\n", + "MEX-Goods exports (BoP, current US$)\n", + "Statistical=0.915, p=0.016\n", + "MEX-Goods imports (BoP, current US$)\n", + "Statistical=0.856, p=0.001\n", + "MEX-Grants and other revenue (% of revenue)\n", + "Statistical=0.768, p=0.000\n", + "MEX-Gross capital formation (% of GDP)\n", + "Statistical=0.955, p=0.194\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Gross capital formation (current US$)\n", + "Statistical=0.932, p=0.045\n", + "MEX-Gross domestic savings (% of GDP)\n", + "Statistical=0.734, p=0.000\n", + "MEX-Gross domestic savings (current US$)\n", + "Statistical=0.961, p=0.299\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.668, p=0.000\n", + "MEX-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Gross national expenditure (current US$)\n", + "Statistical=0.786, p=0.000\n", + "MEX-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.747, p=0.000\n", + "MEX-Gross savings (% of GDP)\n", + "Statistical=0.951, p=0.156\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Gross savings (current US$)\n", + "Statistical=0.959, p=0.250\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.808, p=0.000\n", + "MEX-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.866, p=0.001\n", + "MEX-High-technology exports (% of manufactured exports)\n", + "Statistical=0.821, p=0.000\n", + "MEX-High-technology exports (current US$)\n", + "Statistical=0.889, p=0.003\n", + "MEX-Hospital beds (per 1,000 people)\n", + "Statistical=0.855, p=0.001\n", + "MEX-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.880, p=0.002\n", + "MEX-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.517, p=0.000\n", + "MEX-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.517, p=0.000\n", + "MEX-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.517, p=0.000\n", + "MEX-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.928, p=0.035\n", + "MEX-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.900, p=0.006\n", + "MEX-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.869, p=0.001\n", + "MEX-ICT goods exports (% of total goods exports)\n", + "Statistical=0.893, p=0.004\n", + "MEX-ICT goods imports (% total goods imports)\n", + "Statistical=0.880, p=0.002\n", + "MEX-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.861, p=0.001\n", + "MEX-ICT service exports (BoP, current US$)\n", + "Statistical=0.845, p=0.000\n", + "MEX-Import unit value index (2000 = 100)\n", + "Statistical=0.839, p=0.000\n", + "MEX-Import value index (2000 = 100)\n", + "Statistical=0.846, p=0.000\n", + "MEX-Import volume index (2000 = 100)\n", + "Statistical=0.921, p=0.022\n", + "MEX-Imports of goods and services (% of GDP)\n", + "Statistical=0.927, p=0.033\n", + "MEX-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.913, p=0.013\n", + "MEX-Imports of goods and services (current US$)\n", + "Statistical=0.789, p=0.000\n", + "MEX-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Income share held by fourth 20%\n", + "Statistical=0.860, p=0.001\n", + "MEX-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Income share held by highest 20%\n", + "Statistical=0.964, p=0.342\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Income share held by lowest 10%\n", + "Statistical=0.903, p=0.007\n", + "MEX-Income share held by lowest 20%\n", + "Statistical=0.949, p=0.135\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Income share held by second 20%\n", + "Statistical=0.861, p=0.001\n", + "MEX-Income share held by third 20%\n", + "Statistical=0.904, p=0.008\n", + "MEX-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.895, p=0.005\n", + "MEX-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.863, p=0.001\n", + "MEX-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.796, p=0.000\n", + "MEX-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.904, p=0.008\n", + "MEX-Individuals using the Internet (% of population)\n", + "Statistical=0.863, p=0.001\n", + "MEX-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.815, p=0.000\n", + "MEX-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.410, p=0.000\n", + "MEX-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.870, p=0.001\n", + "MEX-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.813, p=0.000\n", + "MEX-Intentional homicides (per 100,000 people)\n", + "Statistical=0.869, p=0.001\n", + "MEX-Interest payments (% of revenue)\n", + "Statistical=0.842, p=0.000\n", + "MEX-International migrant stock (% of population)\n", + "Statistical=0.839, p=0.000\n", + "MEX-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.840, p=0.000\n", + "MEX-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.787, p=0.000\n", + "MEX-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.798, p=0.000\n", + "MEX-Land area (sq. km)\n", + "Statistical=0.807, p=0.000\n", + "MEX-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.816, p=0.000\n", + "MEX-Land under cereal production (hectares)\n", + "Statistical=0.809, p=0.000\n", + "MEX-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.861, p=0.001\n", + "MEX-Lifetime risk of maternal death (%)\n", + "Statistical=0.970, p=0.493\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.902, p=0.007\n", + "MEX-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.876, p=0.002\n", + "MEX-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.823, p=0.000\n", + "MEX-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=0.968, p=0.439\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.857, p=0.001\n", + "MEX-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.859, p=0.001\n", + "MEX-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.903, p=0.007\n", + "MEX-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.856, p=0.001\n", + "MEX-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Low-birthweight babies (% of births)\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Lower secondary school starting age (years)\n", + "Statistical=0.849, p=0.000\n", + "MEX-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.812, p=0.000\n", + "MEX-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.855, p=0.001\n", + "MEX-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.961, p=0.296\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Marine protected areas (% of territorial waters)\n", + "Statistical=0.882, p=0.002\n", + "MEX-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.905, p=0.008\n", + "MEX-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.864, p=0.001\n", + "MEX-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.836, p=0.000\n", + "MEX-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.882, p=0.002\n", + "MEX-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.926, p=0.031\n", + "MEX-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Merchandise exports (current US$)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.899, p=0.006\n", + "MEX-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.959, p=0.260\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.920, p=0.020\n", + "MEX-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.952, p=0.167\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.955, p=0.194\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.928, p=0.036\n", + "MEX-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.925, p=0.028\n", + "MEX-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.826, p=0.000\n", + "MEX-Merchandise imports (current US$)\n", + "Statistical=0.879, p=0.002\n", + "MEX-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.825, p=0.000\n", + "MEX-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.929, p=0.036\n", + "MEX-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.949, p=0.131\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.888, p=0.003\n", + "MEX-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.919, p=0.020\n", + "MEX-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.952, p=0.167\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.956, p=0.211\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.918, p=0.018\n", + "MEX-Merchandise trade (% of GDP)\n", + "Statistical=0.969, p=0.469\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Methane emissions (% change from 1990)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.880, p=0.002\n", + "MEX-Military expenditure (% of GDP)\n", + "Statistical=0.922, p=0.024\n", + "MEX-Military expenditure (% of general government expenditure)\n", + "Statistical=0.919, p=0.019\n", + "MEX-Military expenditure (current USD)\n", + "Statistical=0.954, p=0.185\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Mineral rents (% of GDP)\n", + "Statistical=0.542, p=0.000\n", + "MEX-Mobile cellular subscriptions\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.968, p=0.443\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Natural gas rents (% of GDP)\n", + "Statistical=0.926, p=0.030\n", + "MEX-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.858, p=0.001\n", + "MEX-Net capital account (BoP, current US$)\n", + "Statistical=0.921, p=0.022\n", + "MEX-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.978, p=0.747\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Net financial account (BoP, current US$)\n", + "Statistical=0.975, p=0.641\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Net migration\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Net primary income (BoP, current US$)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.932, p=0.045\n", + "MEX-Net secondary income (BoP, current US$)\n", + "Statistical=0.927, p=0.032\n", + "MEX-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.678, p=0.000\n", + "MEX-Net trade in goods (BoP, current US$)\n", + "Statistical=0.678, p=0.000\n", + "MEX-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.678, p=0.000\n", + "MEX-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.678, p=0.000\n", + "MEX-New businesses registered (number)\n", + "Statistical=0.678, p=0.000\n", + "MEX-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.810, p=0.000\n", + "MEX-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.809, p=0.000\n", + "MEX-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.893, p=0.004\n", + "MEX-Number of deaths ages 10-14 years\n", + "Statistical=0.865, p=0.001\n", + "MEX-Number of deaths ages 15-19 years\n", + "Statistical=0.955, p=0.193\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Number of deaths ages 20-24 years\n", + "Statistical=0.922, p=0.023\n", + "MEX-Number of deaths ages 5-9 years\n", + "Statistical=0.947, p=0.116\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Number of infant deaths\n", + "Statistical=0.933, p=0.046\n", + "MEX-Number of maternal deaths\n", + "Statistical=0.964, p=0.346\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Number of neonatal deaths\n", + "Statistical=0.973, p=0.582\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Number of under-five deaths\n", + "Statistical=0.967, p=0.414\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.883, p=0.002\n", + "MEX-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.845, p=0.000\n", + "MEX-Oil rents (% of GDP)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.917, p=0.017\n", + "MEX-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.883, p=0.002\n", + "MEX-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.898, p=0.006\n", + "MEX-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.953, p=0.170\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.953, p=0.170\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.933, p=0.046\n", + "MEX-People using at least basic drinking water services (% of population)\n", + "Statistical=0.926, p=0.030\n", + "MEX-People using at least basic sanitation services (% of population)\n", + "Statistical=0.953, p=0.174\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-People using safely managed sanitation services (% of population)\n", + "Statistical=0.950, p=0.145\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Permanent cropland (% of land area)\n", + "Statistical=0.966, p=0.395\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Physicians (per 1,000 people)\n", + "Statistical=0.958, p=0.237\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Population ages 0-14 (% of total population)\n", + "Statistical=0.958, p=0.237\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Population ages 15-64 (% of total population)\n", + "Statistical=0.946, p=0.110\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Population ages 65 and above (% of total population)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Population density (people per sq. km of land area)\n", + "Statistical=0.973, p=0.598\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Population growth (annual %)\n", + "Statistical=0.958, p=0.237\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Population in largest city\n", + "Statistical=0.909, p=0.010\n", + "MEX-Population in the largest city (% of urban population)\n", + "Statistical=0.971, p=0.518\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.873, p=0.001\n", + "MEX-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.924, p=0.027\n", + "MEX-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.953, p=0.170\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.906, p=0.009\n", + "MEX-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.930, p=0.040\n", + "MEX-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.952, p=0.161\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.952, p=0.161\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.934, p=0.050\n", + "MEX-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.924, p=0.027\n", + "MEX-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.967, p=0.423\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.952, p=0.164\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.952, p=0.164\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Prevalence of undernourishment (% of population)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.964, p=0.349\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Primary income payments (BoP, current US$)\n", + "Statistical=0.913, p=0.014\n", + "MEX-Primary income receipts (BoP, current US$)\n", + "Statistical=0.952, p=0.164\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Primary school starting age (years)\n", + "Statistical=0.910, p=0.011\n", + "MEX-Private credit bureau coverage (% of adults)\n", + "Statistical=0.906, p=0.009\n", + "MEX-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.952, p=0.161\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.907, p=0.010\n", + "MEX-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.931, p=0.042\n", + "MEX-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.944, p=0.097\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Procedures to build a warehouse (number)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Procedures to register property (number)\n", + "Statistical=0.931, p=0.042\n", + "MEX-Profit tax (% of commercial profits)\n", + "Statistical=0.931, p=0.042\n", + "MEX-Progression to secondary school (%)\n", + "Statistical=0.916, p=0.016\n", + "MEX-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.914, p=0.015\n", + "MEX-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.936, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.913, p=0.014\n", + "MEX-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.916, p=0.016\n", + "MEX-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.925, p=0.029\n", + "MEX-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.959, p=0.255\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Public credit registry coverage (% of adults)\n", + "Statistical=0.760, p=0.000\n", + "MEX-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.930, p=0.039\n", + "MEX-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.921, p=0.022\n", + "MEX-Rail lines (total route-km)\n", + "Statistical=0.911, p=0.012\n", + "MEX-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.846, p=0.000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MEX-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.854, p=0.001\n", + "MEX-Refugee population by country or territory of asylum\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Refugee population by country or territory of origin\n", + "Statistical=0.976, p=0.664\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.946, p=0.109\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.946, p=0.109\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.933, p=0.048\n", + "MEX-Research and development expenditure (% of GDP)\n", + "Statistical=0.922, p=0.023\n", + "MEX-Researchers in R&D (per million people)\n", + "Statistical=0.949, p=0.132\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Reserves and related items (BoP, current US$)\n", + "Statistical=0.978, p=0.747\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.929, p=0.037\n", + "MEX-Rural land area (sq. km)\n", + "Statistical=0.928, p=0.034\n", + "MEX-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.966, p=0.405\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.988, p=0.969\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Rural population\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Rural population (% of total population)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Rural population growth (annual %)\n", + "Statistical=0.931, p=0.042\n", + "MEX-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.917, p=0.017\n", + "MEX-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.921, p=0.023\n", + "MEX-Scientific and technical journal articles\n", + "Statistical=0.902, p=0.007\n", + "MEX-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.881, p=0.002\n", + "MEX-Secure Internet servers\n", + "Statistical=0.960, p=0.280\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Secure Internet servers (per 1 million people)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Service exports (BoP, current US$)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Service imports (BoP, current US$)\n", + "Statistical=0.932, p=0.044\n", + "MEX-Sex ratio at birth (male births per female births)\n", + "Statistical=0.928, p=0.034\n", + "MEX-Social contributions (% of revenue)\n", + "Statistical=0.954, p=0.183\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.875, p=0.002\n", + "MEX-Start-up procedures to register a business (number)\n", + "Statistical=0.888, p=0.003\n", + "MEX-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.928, p=0.035\n", + "MEX-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.912, p=0.013\n", + "MEX-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.952, p=0.160\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.952, p=0.160\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.926, p=0.031\n", + "MEX-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.789, p=0.000\n", + "MEX-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.778, p=0.000\n", + "MEX-Surface area (sq. km)\n", + "Statistical=0.734, p=0.000\n", + "MEX-Tax payments (number)\n", + "Statistical=0.868, p=0.001\n", + "MEX-Tax revenue (% of GDP)\n", + "Statistical=0.964, p=0.361\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Taxes less subsidies on products (current US$)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Taxes on goods and services (% of revenue)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.929, p=0.037\n", + "MEX-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.906, p=0.009\n", + "MEX-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.978, p=0.732\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Time required to build a warehouse (days)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Time required to enforce a contract (days)\n", + "Statistical=0.919, p=0.019\n", + "MEX-Time required to get electricity (days)\n", + "Statistical=0.965, p=0.365\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Time required to register property (days)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Time required to start a business (days)\n", + "Statistical=0.646, p=0.000\n", + "MEX-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.639, p=0.000\n", + "MEX-Time to obtain an electrical connection (days)\n", + "Statistical=0.642, p=0.000\n", + "MEX-Time to prepare and pay taxes (hours)\n", + "Statistical=0.637, p=0.000\n", + "MEX-Time to resolve insolvency (years)\n", + "Statistical=0.643, p=0.000\n", + "MEX-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.386, p=0.000\n", + "MEX-Total fisheries production (metric tons)\n", + "Statistical=0.368, p=0.000\n", + "MEX-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.393, p=0.000\n", + "MEX-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.404, p=0.000\n", + "MEX-Total natural resources rents (% of GDP)\n", + "Statistical=0.853, p=0.000\n", + "MEX-Total reserves (includes gold, current US$)\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Total reserves in months of imports\n", + "Statistical=0.871, p=0.001\n", + "MEX-Total reserves minus gold (current US$)\n", + "Statistical=0.866, p=0.001\n", + "MEX-Total tax and contribution rate (% of profit)\n", + "Statistical=0.861, p=0.001\n", + "MEX-Trade (% of GDP)\n", + "Statistical=0.667, p=0.000\n", + "MEX-Trade in services (% of GDP)\n", + "Statistical=0.844, p=0.000\n", + "MEX-Transport services (% of commercial service exports)\n", + "Statistical=0.837, p=0.000\n", + "MEX-Transport services (% of commercial service imports)\n", + "Statistical=0.922, p=0.024\n", + "MEX-Transport services (% of service exports, BoP)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Transport services (% of service imports, BoP)\n", + "Statistical=0.970, p=0.512\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Travel services (% of commercial service exports)\n", + "Statistical=0.917, p=0.017\n", + "MEX-Travel services (% of commercial service imports)\n", + "Statistical=0.922, p=0.023\n", + "MEX-Travel services (% of service exports, BoP)\n", + "Statistical=0.951, p=0.155\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Travel services (% of service imports, BoP)\n", + "Statistical=0.951, p=0.155\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.892, p=0.004\n", + "MEX-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.923, p=0.025\n", + "MEX-UHC service coverage index\n", + "Statistical=0.916, p=0.017\n", + "MEX-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.810, p=0.000\n", + "MEX-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.965, p=0.385\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.933, p=0.046\n", + "MEX-Urban land area (sq. km)\n", + "Statistical=0.927, p=0.031\n", + "MEX-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.904, p=0.008\n", + "MEX-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.959, p=0.262\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Urban population\n", + "Statistical=0.918, p=0.019\n", + "MEX-Urban population (% of total population)\n", + "Statistical=0.920, p=0.021\n", + "MEX-Urban population growth (annual %)\n", + "Statistical=0.700, p=0.000\n", + "MEX-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.700, p=0.000\n", + "MEX-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.672, p=0.000\n", + "MEX-GDP (current US$)+1\n", + "Statistical=0.672, p=0.000\n", + "MEX-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-GDP (current US$)+2\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-GDP (current US$)+3\n", + "Statistical=0.912, p=0.013\n", + "MEX-GDP (current US$)+5\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-GDP (current US$)+8\n", + "Statistical=0.962, p=0.303\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-GDP (current US$)+13\n", + "Statistical=0.901, p=0.007\n", + "MEX-GDP (current US$)+21\n", + "Statistical=0.901, p=0.007\n", + "MEX-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Deposit interest rate (%)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Other taxes (% of revenue)\n", + "Statistical=0.919, p=0.019\n", + "MEX-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.814, p=0.000\n", + "MEX-Taxes on international trade (% of revenue)\n", + "Statistical=0.839, p=0.000\n", + "MEX-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.788, p=0.000\n", + "MEX-Broad money (% of GDP)\n", + "Statistical=0.963, p=0.325\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Broad money growth (annual %)\n", + "Statistical=0.964, p=0.352\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Broad money to total reserves ratio\n", + "Statistical=0.963, p=0.327\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.964, p=0.354\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.928, p=0.033\n", + "MEX-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.826, p=0.000\n", + "MEX-External health expenditure (% of current health expenditure)\n", + "Statistical=0.894, p=0.004\n", + "MEX-External health expenditure per capita (current US$)\n", + "Statistical=0.575, p=0.000\n", + "MEX-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.890, p=0.003\n", + "MEX-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.867, p=0.001\n", + "MEX-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.916, p=0.016\n", + "MEX-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.905, p=0.009\n", + "MEX-People practicing open defecation (% of population)\n", + "Statistical=0.880, p=0.002\n", + "MEX-Taxes on exports (% of tax revenue)\n", + "Statistical=0.905, p=0.008\n", + "MEX-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.957, p=0.226\n", + "Data is NORMAL ( H0 not denied )\n", + "MEX-Country\n", + "Statistical=0.902, p=0.007\n", + "MEX-Year\n", + "Statistical=0.919, p=0.019\n", + "MEX-Continent\n", + "Statistical=0.959, p=0.255\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Adjusted net national income (current US$)\n", + "Statistical=0.825, p=0.000\n", + "BRA-Adjusted net national income per capita (current US$)\n", + "Statistical=0.827, p=0.000\n", + "BRA-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.792, p=0.000\n", + "BRA-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.867, p=0.001\n", + "BRA-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.899, p=0.006\n", + "BRA-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.835, p=0.000\n", + "BRA-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.614, p=0.000\n", + "BRA-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.616, p=0.000\n", + "BRA-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.611, p=0.000\n", + "BRA-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.620, p=0.000\n", + "BRA-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.608, p=0.000\n", + "BRA-Age dependency ratio (% of working-age population)\n", + "Statistical=0.617, p=0.000\n", + "BRA-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.621, p=0.000\n", + "BRA-Agricultural land (% of land area)\n", + "Statistical=0.608, p=0.000\n", + "BRA-Agricultural land (sq. km)\n", + "Statistical=0.651, p=0.000\n", + "BRA-Agricultural methane emissions (% of total)\n", + "Statistical=0.888, p=0.003\n", + "BRA-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.755, p=0.000\n", + "BRA-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.831, p=0.000\n", + "BRA-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.971, p=0.532\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.891, p=0.004\n", + "BRA-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.881, p=0.002\n", + "BRA-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.963, p=0.329\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Aquaculture production (metric tons)\n", + "Statistical=0.927, p=0.033\n", + "BRA-Arable land (% of land area)\n", + "Statistical=0.898, p=0.005\n", + "BRA-Arable land (hectares per person)\n", + "Statistical=0.962, p=0.314\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Arable land (hectares)\n", + "Statistical=0.888, p=0.003\n", + "BRA-Armed forces personnel (% of total labor force)\n", + "Statistical=0.956, p=0.210\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.887, p=0.003\n", + "BRA-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.924, p=0.027\n", + "BRA-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.897, p=0.005\n", + "BRA-Average precipitation in depth (mm per year)\n", + "Statistical=0.972, p=0.552\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Average time to clear exports through customs (days)\n", + "Statistical=0.879, p=0.002\n", + "BRA-Births attended by skilled health staff (% of total)\n", + "Statistical=0.912, p=0.012\n", + "BRA-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.830, p=0.000\n", + "BRA-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.915, p=0.016\n", + "BRA-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.874, p=0.001\n", + "BRA-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.908, p=0.010\n", + "BRA-CO2 emissions (kt)\n", + "Statistical=0.967, p=0.421\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-CO2 emissions (metric tons per capita)\n", + "Statistical=0.841, p=0.000\n", + "BRA-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.930, p=0.039\n", + "BRA-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.865, p=0.001\n", + "BRA-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.854, p=0.000\n", + "BRA-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.982, p=0.863\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.866, p=0.001\n", + "BRA-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.724, p=0.000\n", + "BRA-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.717, p=0.000\n", + "BRA-Capture fisheries production (metric tons)\n", + "Statistical=0.832, p=0.000\n", + "BRA-Cereal production (metric tons)\n", + "Statistical=0.892, p=0.004\n", + "BRA-Cereal yield (kg per hectare)\n", + "Statistical=0.911, p=0.012\n", + "BRA-Changes in inventories (current US$)\n", + "Statistical=0.931, p=0.042\n", + "BRA-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.713, p=0.000\n", + "BRA-Children out of school (% of primary school age)\n", + "Statistical=0.867, p=0.001\n", + "BRA-Coal rents (% of GDP)\n", + "Statistical=0.867, p=0.001\n", + "BRA-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.737, p=0.000\n", + "BRA-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.798, p=0.000\n", + "BRA-Commercial service exports (current US$)\n", + "Statistical=0.751, p=0.000\n", + "BRA-Commercial service imports (current US$)\n", + "Statistical=0.815, p=0.000\n", + "BRA-Completeness of birth registration (%)\n", + "Statistical=0.806, p=0.000\n", + "BRA-Consumer price index (2010 = 100)\n", + "Statistical=0.894, p=0.004\n", + "BRA-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.908, p=0.010\n", + "BRA-Crop production index (2014-2016 = 100)\n", + "Statistical=0.859, p=0.001\n", + "BRA-Current account balance (% of GDP)\n", + "Statistical=0.827, p=0.000\n", + "BRA-Current account balance (BoP, current US$)\n", + "Statistical=0.962, p=0.314\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Current health expenditure (% of GDP)\n", + "Statistical=0.928, p=0.035\n", + "BRA-Current health expenditure per capita (current US$)\n", + "Statistical=0.928, p=0.035\n", + "BRA-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.904, p=0.008\n", + "BRA-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.892, p=0.004\n", + "BRA-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.861, p=0.001\n", + "BRA-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.966, p=0.393\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.845, p=0.000\n", + "BRA-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.919, p=0.019\n", + "BRA-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.867, p=0.001\n", + "BRA-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.833, p=0.000\n", + "BRA-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.842, p=0.000\n", + "BRA-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.881, p=0.002\n", + "BRA-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.916, p=0.016\n", + "BRA-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.916, p=0.016\n", + "BRA-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.896, p=0.005\n", + "BRA-Electric power consumption (kWh per capita)\n", + "Statistical=0.917, p=0.017\n", + "BRA-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.887, p=0.003\n", + "BRA-Electricity production from coal sources (% of total)\n", + "Statistical=0.917, p=0.017\n", + "BRA-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.812, p=0.000\n", + "BRA-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.872, p=0.001\n", + "BRA-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.838, p=0.000\n", + "BRA-Electricity production from oil sources (% of total)\n", + "Statistical=0.952, p=0.167\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.870, p=0.001\n", + "BRA-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.904, p=0.008\n", + "BRA-Export unit value index (2000 = 100)\n", + "Statistical=0.815, p=0.000\n", + "BRA-Export value index (2000 = 100)\n", + "Statistical=0.791, p=0.000\n", + "BRA-Export volume index (2000 = 100)\n", + "Statistical=0.838, p=0.000\n", + "BRA-Exports of goods and services (% of GDP)\n", + "Statistical=0.821, p=0.000\n", + "BRA-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.958, p=0.237\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Exports of goods and services (current US$)\n", + "Statistical=0.852, p=0.000\n", + "BRA-External balance on goods and services (% of GDP)\n", + "Statistical=0.814, p=0.000\n", + "BRA-External balance on goods and services (current US$)\n", + "Statistical=0.877, p=0.002\n", + "BRA-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.962, p=0.319\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Final consumption expenditure (% of GDP)\n", + "Statistical=0.964, p=0.346\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Final consumption expenditure (current US$)\n", + "Statistical=0.880, p=0.002\n", + "BRA-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.953, p=0.175\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Firms offering formal training (% of firms)\n", + "Statistical=0.962, p=0.318\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.864, p=0.001\n", + "BRA-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.848, p=0.000\n", + "BRA-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.893, p=0.004\n", + "BRA-Fixed broadband subscriptions\n", + "Statistical=0.860, p=0.001\n", + "BRA-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Fixed telephone subscriptions\n", + "Statistical=0.882, p=0.002\n", + "BRA-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.898, p=0.005\n", + "BRA-Food exports (% of merchandise exports)\n", + "Statistical=0.889, p=0.003\n", + "BRA-Food imports (% of merchandise imports)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Food production index (2014-2016 = 100)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Forest area (% of land area)\n", + "Statistical=0.946, p=0.112\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Forest area (sq. km)\n", + "Statistical=0.890, p=0.004\n", + "BRA-Forest rents (% of GDP)\n", + "Statistical=0.944, p=0.098\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.716, p=0.000\n", + "BRA-Fuel exports (% of merchandise exports)\n", + "Statistical=0.732, p=0.000\n", + "BRA-Fuel imports (% of merchandise imports)\n", + "Statistical=0.573, p=0.000\n", + "BRA-GDP (current US$)\n", + "Statistical=0.916, p=0.016\n", + "BRA-GDP deflator (base year varies by country)\n", + "Statistical=0.931, p=0.041\n", + "BRA-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.918, p=0.018\n", + "BRA-GDP growth (annual %)\n", + "Statistical=0.955, p=0.197\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-GDP per capita (current US$)\n", + "Statistical=0.887, p=0.003\n", + "BRA-GDP per capita growth (annual %)\n", + "Statistical=0.868, p=0.001\n", + "BRA-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.929, p=0.037\n", + "BRA-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.902, p=0.007\n", + "BRA-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.603, p=0.000\n", + "BRA-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.718, p=0.000\n", + "BRA-GNI (current US$)\n", + "Statistical=0.892, p=0.004\n", + "BRA-GNI growth (annual %)\n", + "Statistical=0.605, p=0.000\n", + "BRA-GNI per capita growth (annual %)\n", + "Statistical=0.736, p=0.000\n", + "BRA-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.965, p=0.385\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-General government final consumption expenditure (current US$)\n", + "Statistical=0.954, p=0.188\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Gini index\n", + "Statistical=0.919, p=0.019\n", + "BRA-Goods exports (BoP, current US$)\n", + "Statistical=0.932, p=0.045\n", + "BRA-Goods imports (BoP, current US$)\n", + "Statistical=0.928, p=0.035\n", + "BRA-Grants and other revenue (% of revenue)\n", + "Statistical=0.771, p=0.000\n", + "BRA-Gross capital formation (% of GDP)\n", + "Statistical=0.846, p=0.000\n", + "BRA-Gross capital formation (current US$)\n", + "Statistical=0.856, p=0.001\n", + "BRA-Gross domestic savings (% of GDP)\n", + "Statistical=0.889, p=0.003\n", + "BRA-Gross domestic savings (current US$)\n", + "Statistical=0.964, p=0.347\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.732, p=0.000\n", + "BRA-Gross fixed capital formation (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Gross national expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Gross national expenditure (current US$)\n", + "Statistical=0.565, p=0.000\n", + "BRA-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.910, p=0.012\n", + "BRA-Gross savings (% of GDP)\n", + "Statistical=0.960, p=0.272\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Gross savings (current US$)\n", + "Statistical=0.961, p=0.299\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.818, p=0.000\n", + "BRA-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.779, p=0.000\n", + "BRA-High-technology exports (% of manufactured exports)\n", + "Statistical=0.786, p=0.000\n", + "BRA-High-technology exports (current US$)\n", + "Statistical=0.882, p=0.002\n", + "BRA-Hospital beds (per 1,000 people)\n", + "Statistical=0.894, p=0.004\n", + "BRA-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.888, p=0.003\n", + "BRA-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.571, p=0.000\n", + "BRA-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.571, p=0.000\n", + "BRA-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.571, p=0.000\n", + "BRA-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=0.391, p=0.000\n", + "BRA-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.901, p=0.006\n", + "BRA-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.918, p=0.019\n", + "BRA-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.886, p=0.003\n", + "BRA-ICT goods exports (% of total goods exports)\n", + "Statistical=0.953, p=0.171\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-ICT goods imports (% total goods imports)\n", + "Statistical=0.960, p=0.278\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.831, p=0.000\n", + "BRA-ICT service exports (BoP, current US$)\n", + "Statistical=0.816, p=0.000\n", + "BRA-Import unit value index (2000 = 100)\n", + "Statistical=0.838, p=0.000\n", + "BRA-Import value index (2000 = 100)\n", + "Statistical=0.686, p=0.000\n", + "BRA-Import volume index (2000 = 100)\n", + "Statistical=0.672, p=0.000\n", + "BRA-Imports of goods and services (% of GDP)\n", + "Statistical=0.960, p=0.269\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.908, p=0.010\n", + "BRA-Imports of goods and services (current US$)\n", + "Statistical=0.902, p=0.007\n", + "BRA-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=0.391, p=0.000\n", + "BRA-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "BRA-Income share held by highest 10%\n", + "Statistical=0.650, p=0.000\n", + "BRA-Income share held by highest 20%\n", + "Statistical=0.853, p=0.000\n", + "BRA-Income share held by lowest 10%\n", + "Statistical=0.929, p=0.036\n", + "BRA-Income share held by lowest 20%\n", + "Statistical=0.928, p=0.034\n", + "BRA-Income share held by second 20%\n", + "Statistical=0.796, p=0.000\n", + "BRA-Income share held by third 20%\n", + "Statistical=0.895, p=0.005\n", + "BRA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.892, p=0.004\n", + "BRA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.822, p=0.000\n", + "BRA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.821, p=0.000\n", + "BRA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.917, p=0.017\n", + "BRA-Individuals using the Internet (% of population)\n", + "Statistical=0.809, p=0.000\n", + "BRA-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.836, p=0.000\n", + "BRA-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.424, p=0.000\n", + "BRA-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.778, p=0.000\n", + "BRA-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.776, p=0.000\n", + "BRA-Intentional homicides (per 100,000 people)\n", + "Statistical=0.777, p=0.000\n", + "BRA-Interest payments (% of revenue)\n", + "Statistical=0.800, p=0.000\n", + "BRA-International migrant stock (% of population)\n", + "Statistical=0.802, p=0.000\n", + "BRA-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.801, p=0.000\n", + "BRA-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.760, p=0.000\n", + "BRA-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.757, p=0.000\n", + "BRA-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.760, p=0.000\n", + "BRA-Land area (sq. km)\n", + "Statistical=0.780, p=0.000\n", + "BRA-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.781, p=0.000\n", + "BRA-Land under cereal production (hectares)\n", + "Statistical=0.781, p=0.000\n", + "BRA-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.885, p=0.003\n", + "BRA-Lifetime risk of maternal death (%)\n", + "Statistical=0.946, p=0.112\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.922, p=0.023\n", + "BRA-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.863, p=0.001\n", + "BRA-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.832, p=0.000\n", + "BRA-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=0.913, p=0.014\n", + "BRA-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.869, p=0.001\n", + "BRA-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.869, p=0.001\n", + "BRA-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.810, p=0.000\n", + "BRA-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.797, p=0.000\n", + "BRA-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.967, p=0.418\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.932, p=0.044\n", + "BRA-Low-birthweight babies (% of births)\n", + "Statistical=0.962, p=0.317\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Lower secondary school starting age (years)\n", + "Statistical=0.904, p=0.008\n", + "BRA-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.904, p=0.008\n", + "BRA-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.921, p=0.022\n", + "BRA-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.890, p=0.003\n", + "BRA-Marine protected areas (% of territorial waters)\n", + "Statistical=0.943, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.857, p=0.001\n", + "BRA-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.932, p=0.045\n", + "BRA-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.854, p=0.000\n", + "BRA-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.926, p=0.030\n", + "BRA-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.912, p=0.012\n", + "BRA-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Merchandise exports (current US$)\n", + "Statistical=0.892, p=0.004\n", + "BRA-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.890, p=0.004\n", + "BRA-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.949, p=0.134\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.962, p=0.313\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.922, p=0.024\n", + "BRA-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.876, p=0.002\n", + "BRA-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.928, p=0.035\n", + "BRA-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.903, p=0.007\n", + "BRA-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.917, p=0.017\n", + "BRA-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.888, p=0.003\n", + "BRA-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.861, p=0.001\n", + "BRA-Merchandise imports (current US$)\n", + "Statistical=0.898, p=0.005\n", + "BRA-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.797, p=0.000\n", + "BRA-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.871, p=0.001\n", + "BRA-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.917, p=0.017\n", + "BRA-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.910, p=0.011\n", + "BRA-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.893, p=0.004\n", + "BRA-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.856, p=0.001\n", + "BRA-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.891, p=0.004\n", + "BRA-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.874, p=0.001\n", + "BRA-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.970, p=0.500\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.865, p=0.001\n", + "BRA-Merchandise trade (% of GDP)\n", + "Statistical=0.980, p=0.796\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Methane emissions (% change from 1990)\n", + "Statistical=0.896, p=0.005\n", + "BRA-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.896, p=0.005\n", + "BRA-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.891, p=0.004\n", + "BRA-Military expenditure (% of GDP)\n", + "Statistical=0.866, p=0.001\n", + "BRA-Military expenditure (% of general government expenditure)\n", + "Statistical=0.870, p=0.001\n", + "BRA-Military expenditure (current USD)\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Mineral rents (% of GDP)\n", + "Statistical=0.719, p=0.000\n", + "BRA-Mobile cellular subscriptions\n", + "Statistical=0.947, p=0.120\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.972, p=0.569\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.812, p=0.000\n", + "BRA-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.959, p=0.252\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.897, p=0.005\n", + "BRA-Natural gas rents (% of GDP)\n", + "Statistical=0.861, p=0.001\n", + "BRA-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.890, p=0.003\n", + "BRA-Net capital account (BoP, current US$)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.882, p=0.002\n", + "BRA-Net financial account (BoP, current US$)\n", + "Statistical=0.970, p=0.507\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Net migration\n", + "Statistical=0.890, p=0.004\n", + "BRA-Net primary income (BoP, current US$)\n", + "Statistical=0.890, p=0.004\n", + "BRA-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.889, p=0.003\n", + "BRA-Net secondary income (BoP, current US$)\n", + "Statistical=0.906, p=0.009\n", + "BRA-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Net trade in goods (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Net trade in goods and services (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-New businesses registered (number)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.809, p=0.000\n", + "BRA-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.812, p=0.000\n", + "BRA-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.825, p=0.000\n", + "BRA-Number of deaths ages 10-14 years\n", + "Statistical=0.809, p=0.000\n", + "BRA-Number of deaths ages 15-19 years\n", + "Statistical=0.933, p=0.048\n", + "BRA-Number of deaths ages 20-24 years\n", + "Statistical=0.863, p=0.001\n", + "BRA-Number of deaths ages 5-9 years\n", + "Statistical=0.919, p=0.019\n", + "BRA-Number of infant deaths\n", + "Statistical=0.974, p=0.615\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Number of maternal deaths\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Number of neonatal deaths\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Number of under-five deaths\n", + "Statistical=0.909, p=0.011\n", + "BRA-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.918, p=0.018\n", + "BRA-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.825, p=0.000\n", + "BRA-Oil rents (% of GDP)\n", + "Statistical=0.912, p=0.013\n", + "BRA-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.912, p=0.013\n", + "BRA-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.923, p=0.025\n", + "BRA-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.889, p=0.003\n", + "BRA-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.918, p=0.018\n", + "BRA-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.969, p=0.469\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.890, p=0.003\n", + "BRA-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.890, p=0.003\n", + "BRA-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.894, p=0.004\n", + "BRA-People using at least basic drinking water services (% of population)\n", + "Statistical=0.907, p=0.009\n", + "BRA-People using at least basic sanitation services (% of population)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-People using safely managed sanitation services (% of population)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Permanent cropland (% of land area)\n", + "Statistical=0.949, p=0.139\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Physicians (per 1,000 people)\n", + "Statistical=0.915, p=0.015\n", + "BRA-Population ages 0-14 (% of total population)\n", + "Statistical=0.915, p=0.015\n", + "BRA-Population ages 15-64 (% of total population)\n", + "Statistical=0.905, p=0.008\n", + "BRA-Population ages 65 and above (% of total population)\n", + "Statistical=0.919, p=0.020\n", + "BRA-Population density (people per sq. km of land area)\n", + "Statistical=0.968, p=0.458\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Population growth (annual %)\n", + "Statistical=0.915, p=0.015\n", + "BRA-Population in largest city\n", + "Statistical=0.880, p=0.002\n", + "BRA-Population in the largest city (% of urban population)\n", + "Statistical=0.878, p=0.002\n", + "BRA-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.862, p=0.001\n", + "BRA-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.931, p=0.043\n", + "BRA-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.890, p=0.003\n", + "BRA-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.883, p=0.002\n", + "BRA-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.894, p=0.004\n", + "BRA-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.888, p=0.003\n", + "BRA-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.888, p=0.003\n", + "BRA-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.893, p=0.004\n", + "BRA-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.905, p=0.008\n", + "BRA-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.951, p=0.152\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.909, p=0.010\n", + "BRA-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.909, p=0.010\n", + "BRA-Prevalence of undernourishment (% of population)\n", + "Statistical=0.903, p=0.008\n", + "BRA-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.958, p=0.249\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Primary income payments (BoP, current US$)\n", + "Statistical=0.902, p=0.007\n", + "BRA-Primary income receipts (BoP, current US$)\n", + "Statistical=0.909, p=0.010\n", + "BRA-Primary school starting age (years)\n", + "Statistical=0.878, p=0.002\n", + "BRA-Private credit bureau coverage (% of adults)\n", + "Statistical=0.888, p=0.003\n", + "BRA-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.888, p=0.003\n", + "BRA-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.880, p=0.002\n", + "BRA-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.893, p=0.004\n", + "BRA-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.975, p=0.642\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Procedures to build a warehouse (number)\n", + "Statistical=0.957, p=0.223\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Procedures to register property (number)\n", + "Statistical=0.865, p=0.001\n", + "BRA-Profit tax (% of commercial profits)\n", + "Statistical=0.865, p=0.001\n", + "BRA-Progression to secondary school (%)\n", + "Statistical=0.892, p=0.004\n", + "BRA-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.907, p=0.009\n", + "BRA-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.926, p=0.030\n", + "BRA-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.871, p=0.001\n", + "BRA-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.883, p=0.002\n", + "BRA-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.907, p=0.009\n", + "BRA-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.875, p=0.002\n", + "BRA-Public credit registry coverage (% of adults)\n", + "Statistical=0.759, p=0.000\n", + "BRA-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.733, p=0.000\n", + "BRA-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.779, p=0.000\n", + "BRA-Rail lines (total route-km)\n", + "Statistical=0.790, p=0.000\n", + "BRA-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.624, p=0.000\n", + "BRA-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.897, p=0.005\n", + "BRA-Refugee population by country or territory of asylum\n", + "Statistical=0.944, p=0.097\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Refugee population by country or territory of origin\n", + "Statistical=0.989, p=0.980\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.874, p=0.001\n", + "BRA-Research and development expenditure (% of GDP)\n", + "Statistical=0.874, p=0.001\n", + "BRA-Researchers in R&D (per million people)\n", + "Statistical=0.889, p=0.003\n", + "BRA-Reserves and related items (BoP, current US$)\n", + "Statistical=0.882, p=0.002\n", + "BRA-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.897, p=0.005\n", + "BRA-Rural land area (sq. km)\n", + "Statistical=0.890, p=0.003\n", + "BRA-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.957, p=0.234\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.989, p=0.980\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Rural population\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Rural population (% of total population)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Rural population growth (annual %)\n", + "Statistical=0.882, p=0.002\n", + "BRA-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.889, p=0.003\n", + "BRA-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.660, p=0.000\n", + "BRA-Scientific and technical journal articles\n", + "Statistical=0.660, p=0.000\n", + "BRA-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.671, p=0.000\n", + "BRA-Secure Internet servers\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Secure Internet servers (per 1 million people)\n", + "Statistical=0.897, p=0.005\n", + "BRA-Service exports (BoP, current US$)\n", + "Statistical=0.898, p=0.006\n", + "BRA-Service imports (BoP, current US$)\n", + "Statistical=0.890, p=0.003\n", + "BRA-Sex ratio at birth (male births per female births)\n", + "Statistical=0.907, p=0.010\n", + "BRA-Social contributions (% of revenue)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.957, p=0.222\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Start-up procedures to register a business (number)\n", + "Statistical=0.950, p=0.140\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.894, p=0.004\n", + "BRA-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.883, p=0.002\n", + "BRA-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.846, p=0.000\n", + "BRA-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.846, p=0.000\n", + "BRA-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.893, p=0.004\n", + "BRA-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.906, p=0.009\n", + "BRA-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.721, p=0.000\n", + "BRA-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.782, p=0.000\n", + "BRA-Surface area (sq. km)\n", + "Statistical=0.759, p=0.000\n", + "BRA-Tax payments (number)\n", + "Statistical=0.867, p=0.001\n", + "BRA-Tax revenue (% of GDP)\n", + "Statistical=0.979, p=0.756\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Taxes less subsidies on products (current US$)\n", + "Statistical=0.893, p=0.004\n", + "BRA-Taxes on goods and services (% of revenue)\n", + "Statistical=0.893, p=0.004\n", + "BRA-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.889, p=0.003\n", + "BRA-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.905, p=0.009\n", + "BRA-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.902, p=0.007\n", + "BRA-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.950, p=0.147\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Time required to build a warehouse (days)\n", + "Statistical=0.893, p=0.004\n", + "BRA-Time required to enforce a contract (days)\n", + "Statistical=0.872, p=0.001\n", + "BRA-Time required to get electricity (days)\n", + "Statistical=0.916, p=0.017\n", + "BRA-Time required to register property (days)\n", + "Statistical=0.889, p=0.003\n", + "BRA-Time required to start a business (days)\n", + "Statistical=0.680, p=0.000\n", + "BRA-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Time to obtain an electrical connection (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Time to prepare and pay taxes (hours)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Time to resolve insolvency (years)\n", + "Statistical=0.677, p=0.000\n", + "BRA-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Total fisheries production (metric tons)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.683, p=0.000\n", + "BRA-Total natural resources rents (% of GDP)\n", + "Statistical=0.789, p=0.000\n", + "BRA-Total reserves (includes gold, current US$)\n", + "Statistical=0.870, p=0.001\n", + "BRA-Total reserves in months of imports\n", + "Statistical=0.834, p=0.000\n", + "BRA-Total reserves minus gold (current US$)\n", + "Statistical=0.768, p=0.000\n", + "BRA-Total tax and contribution rate (% of profit)\n", + "Statistical=0.831, p=0.000\n", + "BRA-Trade (% of GDP)\n", + "Statistical=0.883, p=0.002\n", + "BRA-Trade in services (% of GDP)\n", + "Statistical=0.805, p=0.000\n", + "BRA-Transport services (% of commercial service exports)\n", + "Statistical=0.923, p=0.026\n", + "BRA-Transport services (% of commercial service imports)\n", + "Statistical=0.894, p=0.004\n", + "BRA-Transport services (% of service exports, BoP)\n", + "Statistical=0.927, p=0.032\n", + "BRA-Transport services (% of service imports, BoP)\n", + "Statistical=0.952, p=0.161\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Travel services (% of commercial service exports)\n", + "Statistical=0.872, p=0.001\n", + "BRA-Travel services (% of commercial service imports)\n", + "Statistical=0.972, p=0.561\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Travel services (% of service exports, BoP)\n", + "Statistical=0.918, p=0.018\n", + "BRA-Travel services (% of service imports, BoP)\n", + "Statistical=0.918, p=0.018\n", + "BRA-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.888, p=0.003\n", + "BRA-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.893, p=0.004\n", + "BRA-UHC service coverage index\n", + "Statistical=0.864, p=0.001\n", + "BRA-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.864, p=0.001\n", + "BRA-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.920, p=0.020\n", + "BRA-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.929, p=0.037\n", + "BRA-Urban land area (sq. km)\n", + "Statistical=0.921, p=0.022\n", + "BRA-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.926, p=0.031\n", + "BRA-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Urban population\n", + "Statistical=0.925, p=0.029\n", + "BRA-Urban population (% of total population)\n", + "Statistical=0.910, p=0.011\n", + "BRA-Urban population growth (annual %)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-GDP (current US$)+1\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-GDP (current US$)+2\n", + "Statistical=0.950, p=0.145\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-GDP (current US$)+3\n", + "Statistical=0.854, p=0.000\n", + "BRA-GDP (current US$)+5\n", + "Statistical=0.829, p=0.000\n", + "BRA-GDP (current US$)+8\n", + "Statistical=0.990, p=0.989\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-GDP (current US$)+13\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-GDP (current US$)+21\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.898, p=0.006\n", + "BRA-Deposit interest rate (%)\n", + "Statistical=0.895, p=0.005\n", + "BRA-Other taxes (% of revenue)\n", + "Statistical=0.981, p=0.835\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.781, p=0.000\n", + "BRA-Taxes on international trade (% of revenue)\n", + "Statistical=0.781, p=0.000\n", + "BRA-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.808, p=0.000\n", + "BRA-Broad money (% of GDP)\n", + "Statistical=0.975, p=0.633\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Broad money growth (annual %)\n", + "Statistical=0.904, p=0.008\n", + "BRA-Broad money to total reserves ratio\n", + "Statistical=0.979, p=0.784\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data is NORMAL ( H0 not denied )\n", + "BRA-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.918, p=0.019\n", + "BRA-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.979, p=0.783\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.499, p=0.000\n", + "BRA-External health expenditure (% of current health expenditure)\n", + "Statistical=0.658, p=0.000\n", + "BRA-External health expenditure per capita (current US$)\n", + "Statistical=0.775, p=0.000\n", + "BRA-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.868, p=0.001\n", + "BRA-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.969, p=0.471\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.957, p=0.230\n", + "Data is NORMAL ( H0 not denied )\n", + "BRA-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.813, p=0.000\n", + "BRA-People practicing open defecation (% of population)\n", + "Statistical=0.811, p=0.000\n", + "BRA-Taxes on exports (% of tax revenue)\n", + "Statistical=0.813, p=0.000\n", + "BRA-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.880, p=0.002\n", + "BRA-Country\n", + "Statistical=0.927, p=0.032\n", + "BRA-Year\n", + "Statistical=0.866, p=0.001\n", + "BRA-Continent\n", + "Statistical=0.905, p=0.008\n", + "ARG-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Adjusted net national income (current US$)\n", + "Statistical=0.799, p=0.000\n", + "ARG-Adjusted net national income per capita (current US$)\n", + "Statistical=0.816, p=0.000\n", + "ARG-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.780, p=0.000\n", + "ARG-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.911, p=0.012\n", + "ARG-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.903, p=0.007\n", + "ARG-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.901, p=0.006\n", + "ARG-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.616, p=0.000\n", + "ARG-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.603, p=0.000\n", + "ARG-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.633, p=0.000\n", + "ARG-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.635, p=0.000\n", + "ARG-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.640, p=0.000\n", + "ARG-Age dependency ratio (% of working-age population)\n", + "Statistical=0.654, p=0.000\n", + "ARG-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.614, p=0.000\n", + "ARG-Agricultural land (% of land area)\n", + "Statistical=0.618, p=0.000\n", + "ARG-Agricultural land (sq. km)\n", + "Statistical=0.615, p=0.000\n", + "ARG-Agricultural methane emissions (% of total)\n", + "Statistical=0.919, p=0.019\n", + "ARG-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.967, p=0.419\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.886, p=0.003\n", + "ARG-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.951, p=0.156\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.966, p=0.405\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Aquaculture production (metric tons)\n", + "Statistical=0.929, p=0.037\n", + "ARG-Arable land (% of land area)\n", + "Statistical=0.969, p=0.464\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Arable land (hectares per person)\n", + "Statistical=0.928, p=0.034\n", + "ARG-Arable land (hectares)\n", + "Statistical=0.953, p=0.174\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Armed forces personnel (% of total labor force)\n", + "Statistical=0.955, p=0.206\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.953, p=0.180\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.927, p=0.031\n", + "ARG-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.895, p=0.005\n", + "ARG-Average precipitation in depth (mm per year)\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Average time to clear exports through customs (days)\n", + "Statistical=0.907, p=0.009\n", + "ARG-Births attended by skilled health staff (% of total)\n", + "Statistical=0.904, p=0.008\n", + "ARG-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.925, p=0.029\n", + "ARG-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.857, p=0.001\n", + "ARG-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.913, p=0.013\n", + "ARG-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-CO2 emissions (kt)\n", + "Statistical=0.844, p=0.000\n", + "ARG-CO2 emissions (metric tons per capita)\n", + "Statistical=0.799, p=0.000\n", + "ARG-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.865, p=0.001\n", + "ARG-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.911, p=0.012\n", + "ARG-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.956, p=0.210\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.914, p=0.014\n", + "ARG-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.957, p=0.232\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.773, p=0.000\n", + "ARG-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.891, p=0.004\n", + "ARG-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.843, p=0.000\n", + "ARG-Capture fisheries production (metric tons)\n", + "Statistical=0.910, p=0.011\n", + "ARG-Cereal production (metric tons)\n", + "Statistical=0.877, p=0.002\n", + "ARG-Cereal yield (kg per hectare)\n", + "Statistical=0.907, p=0.010\n", + "ARG-Changes in inventories (current US$)\n", + "Statistical=0.925, p=0.029\n", + "ARG-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.879, p=0.002\n", + "ARG-Children out of school (% of primary school age)\n", + "Statistical=0.764, p=0.000\n", + "ARG-Coal rents (% of GDP)\n", + "Statistical=0.764, p=0.000\n", + "ARG-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.683, p=0.000\n", + "ARG-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.682, p=0.000\n", + "ARG-Commercial service exports (current US$)\n", + "Statistical=0.751, p=0.000\n", + "ARG-Commercial service imports (current US$)\n", + "Statistical=0.955, p=0.201\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Completeness of birth registration (%)\n", + "Statistical=0.711, p=0.000\n", + "ARG-Consumer price index (2010 = 100)\n", + "Statistical=0.911, p=0.012\n", + "ARG-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.845, p=0.000\n", + "ARG-Crop production index (2014-2016 = 100)\n", + "Statistical=0.921, p=0.022\n", + "ARG-Current account balance (% of GDP)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Current account balance (BoP, current US$)\n", + "Statistical=0.966, p=0.401\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Current health expenditure (% of GDP)\n", + "Statistical=0.916, p=0.017\n", + "ARG-Current health expenditure per capita (current US$)\n", + "Statistical=0.916, p=0.017\n", + "ARG-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.746, p=0.000\n", + "ARG-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.863, p=0.001\n", + "ARG-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.957, p=0.222\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.957, p=0.234\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.879, p=0.002\n", + "ARG-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.853, p=0.000\n", + "ARG-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.768, p=0.000\n", + "ARG-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.758, p=0.000\n", + "ARG-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.835, p=0.000\n", + "ARG-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.835, p=0.000\n", + "ARG-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Electric power consumption (kWh per capita)\n", + "Statistical=0.792, p=0.000\n", + "ARG-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.916, p=0.016\n", + "ARG-Electricity production from coal sources (% of total)\n", + "Statistical=0.792, p=0.000\n", + "ARG-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.968, p=0.441\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.912, p=0.013\n", + "ARG-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.825, p=0.000\n", + "ARG-Electricity production from oil sources (% of total)\n", + "Statistical=0.917, p=0.018\n", + "ARG-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.734, p=0.000\n", + "ARG-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.775, p=0.000\n", + "ARG-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.947, p=0.115\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Export unit value index (2000 = 100)\n", + "Statistical=0.925, p=0.029\n", + "ARG-Export value index (2000 = 100)\n", + "Statistical=0.834, p=0.000\n", + "ARG-Export volume index (2000 = 100)\n", + "Statistical=0.892, p=0.004\n", + "ARG-Exports of goods and services (% of GDP)\n", + "Statistical=0.785, p=0.000\n", + "ARG-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.875, p=0.002\n", + "ARG-Exports of goods and services (current US$)\n", + "Statistical=0.764, p=0.000\n", + "ARG-External balance on goods and services (% of GDP)\n", + "Statistical=0.962, p=0.318\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-External balance on goods and services (current US$)\n", + "Statistical=0.953, p=0.179\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.923, p=0.026\n", + "ARG-Final consumption expenditure (% of GDP)\n", + "Statistical=0.923, p=0.025\n", + "ARG-Final consumption expenditure (current US$)\n", + "Statistical=0.949, p=0.132\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.895, p=0.005\n", + "ARG-Firms offering formal training (% of firms)\n", + "Statistical=0.929, p=0.038\n", + "ARG-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.886, p=0.003\n", + "ARG-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.869, p=0.001\n", + "ARG-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.904, p=0.008\n", + "ARG-Fixed broadband subscriptions\n", + "Statistical=0.861, p=0.001\n", + "ARG-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.862, p=0.001\n", + "ARG-Fixed telephone subscriptions\n", + "Statistical=0.930, p=0.039\n", + "ARG-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Food exports (% of merchandise exports)\n", + "Statistical=0.921, p=0.022\n", + "ARG-Food imports (% of merchandise imports)\n", + "Statistical=0.968, p=0.453\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Food production index (2014-2016 = 100)\n", + "Statistical=0.977, p=0.722\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Forest area (% of land area)\n", + "Statistical=0.892, p=0.004\n", + "ARG-Forest area (sq. km)\n", + "Statistical=0.903, p=0.007\n", + "ARG-Forest rents (% of GDP)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.828, p=0.000\n", + "ARG-Fuel exports (% of merchandise exports)\n", + "Statistical=0.848, p=0.000\n", + "ARG-Fuel imports (% of merchandise imports)\n", + "Statistical=0.762, p=0.000\n", + "ARG-GDP (current US$)\n", + "Statistical=0.919, p=0.019\n", + "ARG-GDP deflator (base year varies by country)\n", + "Statistical=0.953, p=0.176\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GDP deflator: linked series (base year varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GDP growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GDP per capita (current US$)\n", + "Statistical=0.847, p=0.000\n", + "ARG-GDP per capita growth (annual %)\n", + "Statistical=0.875, p=0.002\n", + "ARG-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.955, p=0.204\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GNI (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GNI growth (annual %)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GNI per capita growth (annual %)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.950, p=0.144\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-General government final consumption expenditure (current US$)\n", + "Statistical=0.926, p=0.031\n", + "ARG-Gini index\n", + "Statistical=0.909, p=0.010\n", + "ARG-Goods exports (BoP, current US$)\n", + "Statistical=0.801, p=0.000\n", + "ARG-Goods imports (BoP, current US$)\n", + "Statistical=0.916, p=0.016\n", + "ARG-Grants and other revenue (% of revenue)\n", + "Statistical=0.835, p=0.000\n", + "ARG-Gross capital formation (% of GDP)\n", + "Statistical=0.875, p=0.002\n", + "ARG-Gross capital formation (current US$)\n", + "Statistical=0.920, p=0.021\n", + "ARG-Gross domestic savings (% of GDP)\n", + "Statistical=0.895, p=0.005\n", + "ARG-Gross domestic savings (current US$)\n", + "Statistical=0.892, p=0.004\n", + "ARG-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.725, p=0.000\n", + "ARG-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Gross national expenditure (current US$)\n", + "Statistical=0.725, p=0.000\n", + "ARG-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.886, p=0.003\n", + "ARG-Gross savings (% of GDP)\n", + "Statistical=0.899, p=0.006\n", + "ARG-Gross savings (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.848, p=0.000\n", + "ARG-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-High-technology exports (% of manufactured exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-High-technology exports (current US$)\n", + "Statistical=0.928, p=0.034\n", + "ARG-Hospital beds (per 1,000 people)\n", + "Statistical=0.899, p=0.006\n", + "ARG-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.900, p=0.006\n", + "ARG-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.873, p=0.001\n", + "ARG-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.873, p=0.001\n", + "ARG-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.873, p=0.001\n", + "ARG-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.956, p=0.209\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.878, p=0.002\n", + "ARG-ICT goods exports (% of total goods exports)\n", + "Statistical=0.811, p=0.000\n", + "ARG-ICT goods imports (% total goods imports)\n", + "Statistical=0.844, p=0.000\n", + "ARG-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.922, p=0.024\n", + "ARG-ICT service exports (BoP, current US$)\n", + "Statistical=0.930, p=0.039\n", + "ARG-Import unit value index (2000 = 100)\n", + "Statistical=0.850, p=0.000\n", + "ARG-Import value index (2000 = 100)\n", + "Statistical=0.923, p=0.026\n", + "ARG-Import volume index (2000 = 100)\n", + "Statistical=0.744, p=0.000\n", + "ARG-Imports of goods and services (% of GDP)\n", + "Statistical=0.788, p=0.000\n", + "ARG-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.932, p=0.045\n", + "ARG-Imports of goods and services (current US$)\n", + "Statistical=0.624, p=0.000\n", + "ARG-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "ARG-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Income share held by highest 20%\n", + "Statistical=0.865, p=0.001\n", + "ARG-Income share held by lowest 10%\n", + "Statistical=0.929, p=0.038\n", + "ARG-Income share held by lowest 20%\n", + "Statistical=0.923, p=0.025\n", + "ARG-Income share held by second 20%\n", + "Statistical=0.882, p=0.002\n", + "ARG-Income share held by third 20%\n", + "Statistical=0.850, p=0.000\n", + "ARG-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.912, p=0.013\n", + "ARG-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.916, p=0.016\n", + "ARG-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.823, p=0.000\n", + "ARG-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.852, p=0.000\n", + "ARG-Individuals using the Internet (% of population)\n", + "Statistical=0.927, p=0.032\n", + "ARG-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.903, p=0.007\n", + "ARG-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.464, p=0.000\n", + "ARG-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.653, p=0.000\n", + "ARG-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.653, p=0.000\n", + "ARG-Intentional homicides (per 100,000 people)\n", + "Statistical=0.653, p=0.000\n", + "ARG-Interest payments (% of revenue)\n", + "Statistical=0.653, p=0.000\n", + "ARG-International migrant stock (% of population)\n", + "Statistical=0.653, p=0.000\n", + "ARG-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.653, p=0.000\n", + "ARG-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.653, p=0.000\n", + "ARG-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.653, p=0.000\n", + "ARG-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.653, p=0.000\n", + "ARG-Land area (sq. km)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Land under cereal production (hectares)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.887, p=0.003\n", + "ARG-Lifetime risk of maternal death (%)\n", + "Statistical=0.860, p=0.001\n", + "ARG-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.972, p=0.567\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.890, p=0.004\n", + "ARG-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.925, p=0.028\n", + "ARG-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=0.880, p=0.002\n", + "ARG-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.873, p=0.001\n", + "ARG-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.877, p=0.002\n", + "ARG-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.884, p=0.003\n", + "ARG-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.865, p=0.001\n", + "ARG-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.915, p=0.015\n", + "ARG-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.929, p=0.036\n", + "ARG-Low-birthweight babies (% of births)\n", + "Statistical=0.943, p=0.091\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Lower secondary school starting age (years)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.912, p=0.012\n", + "ARG-Marine protected areas (% of territorial waters)\n", + "Statistical=0.899, p=0.006\n", + "ARG-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.932, p=0.043\n", + "ARG-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.929, p=0.037\n", + "ARG-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.876, p=0.002\n", + "ARG-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.945, p=0.103\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.893, p=0.004\n", + "ARG-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.819, p=0.000\n", + "ARG-Merchandise exports (current US$)\n", + "Statistical=0.942, p=0.085\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.918, p=0.019\n", + "ARG-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.862, p=0.001\n", + "ARG-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.932, p=0.044\n", + "ARG-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.825, p=0.000\n", + "ARG-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.963, p=0.339\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.727, p=0.000\n", + "ARG-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.950, p=0.143\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.762, p=0.000\n", + "ARG-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.902, p=0.007\n", + "ARG-Merchandise imports (current US$)\n", + "Statistical=0.899, p=0.006\n", + "ARG-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.857, p=0.001\n", + "ARG-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.885, p=0.003\n", + "ARG-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.947, p=0.116\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.895, p=0.005\n", + "ARG-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.894, p=0.004\n", + "ARG-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.922, p=0.024\n", + "ARG-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.884, p=0.003\n", + "ARG-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.923, p=0.025\n", + "ARG-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.938, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.911, p=0.012\n", + "ARG-Merchandise trade (% of GDP)\n", + "Statistical=0.991, p=0.995\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Methane emissions (% change from 1990)\n", + "Statistical=0.894, p=0.004\n", + "ARG-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.894, p=0.004\n", + "ARG-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.766, p=0.000\n", + "ARG-Military expenditure (% of GDP)\n", + "Statistical=0.911, p=0.012\n", + "ARG-Military expenditure (% of general government expenditure)\n", + "Statistical=0.920, p=0.021\n", + "ARG-Military expenditure (current USD)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Mineral rents (% of GDP)\n", + "Statistical=0.774, p=0.000\n", + "ARG-Mobile cellular subscriptions\n", + "Statistical=0.877, p=0.002\n", + "ARG-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.913, p=0.014\n", + "ARG-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.881, p=0.002\n", + "ARG-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.845, p=0.000\n", + "ARG-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.886, p=0.003\n", + "ARG-Natural gas rents (% of GDP)\n", + "Statistical=0.878, p=0.002\n", + "ARG-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.839, p=0.000\n", + "ARG-Net capital account (BoP, current US$)\n", + "Statistical=0.922, p=0.024\n", + "ARG-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.910, p=0.012\n", + "ARG-Net financial account (BoP, current US$)\n", + "Statistical=0.959, p=0.262\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Net migration\n", + "Statistical=0.917, p=0.018\n", + "ARG-Net primary income (BoP, current US$)\n", + "Statistical=0.917, p=0.018\n", + "ARG-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.715, p=0.000\n", + "ARG-Net secondary income (BoP, current US$)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.789, p=0.000\n", + "ARG-Net trade in goods (BoP, current US$)\n", + "Statistical=0.843, p=0.000\n", + "ARG-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.731, p=0.000\n", + "ARG-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.752, p=0.000\n", + "ARG-New businesses registered (number)\n", + "Statistical=0.722, p=0.000\n", + "ARG-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.806, p=0.000\n", + "ARG-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.807, p=0.000\n", + "ARG-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.856, p=0.001\n", + "ARG-Number of deaths ages 10-14 years\n", + "Statistical=0.842, p=0.000\n", + "ARG-Number of deaths ages 15-19 years\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Number of deaths ages 20-24 years\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Number of deaths ages 5-9 years\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Number of infant deaths\n", + "Statistical=0.963, p=0.337\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Number of maternal deaths\n", + "Statistical=0.890, p=0.003\n", + "ARG-Number of neonatal deaths\n", + "Statistical=0.974, p=0.603\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Number of under-five deaths\n", + "Statistical=0.933, p=0.046\n", + "ARG-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.950, p=0.145\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.983, p=0.884\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Oil rents (% of GDP)\n", + "Statistical=0.910, p=0.011\n", + "ARG-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.910, p=0.011\n", + "ARG-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.956, p=0.209\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.964, p=0.353\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.926, p=0.030\n", + "ARG-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.880, p=0.002\n", + "ARG-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.909, p=0.010\n", + "ARG-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.909, p=0.010\n", + "ARG-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.723, p=0.000\n", + "ARG-People using at least basic drinking water services (% of population)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-People using at least basic sanitation services (% of population)\n", + "Statistical=0.727, p=0.000\n", + "ARG-People using safely managed sanitation services (% of population)\n", + "Statistical=0.727, p=0.000\n", + "ARG-Permanent cropland (% of land area)\n", + "Statistical=0.916, p=0.016\n", + "ARG-Physicians (per 1,000 people)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Population ages 0-14 (% of total population)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Population ages 15-64 (% of total population)\n", + "Statistical=0.727, p=0.000\n", + "ARG-Population ages 65 and above (% of total population)\n", + "Statistical=0.955, p=0.205\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Population density (people per sq. km of land area)\n", + "Statistical=0.923, p=0.024\n", + "ARG-Population growth (annual %)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Population in largest city\n", + "Statistical=0.918, p=0.019\n", + "ARG-Population in the largest city (% of urban population)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.894, p=0.004\n", + "ARG-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.955, p=0.202\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.909, p=0.010\n", + "ARG-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.914, p=0.014\n", + "ARG-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.723, p=0.000\n", + "ARG-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.906, p=0.009\n", + "ARG-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.906, p=0.009\n", + "ARG-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.720, p=0.000\n", + "ARG-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.981, p=0.831\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.944, p=0.098\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.944, p=0.098\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Prevalence of undernourishment (% of population)\n", + "Statistical=0.725, p=0.000\n", + "ARG-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.981, p=0.830\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Primary income payments (BoP, current US$)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Primary income receipts (BoP, current US$)\n", + "Statistical=0.944, p=0.098\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Primary school starting age (years)\n", + "Statistical=0.910, p=0.011\n", + "ARG-Private credit bureau coverage (% of adults)\n", + "Statistical=0.922, p=0.023\n", + "ARG-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.906, p=0.009\n", + "ARG-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.906, p=0.009\n", + "ARG-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.720, p=0.000\n", + "ARG-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.948, p=0.129\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Procedures to build a warehouse (number)\n", + "Statistical=0.989, p=0.977\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Procedures to register property (number)\n", + "Statistical=0.835, p=0.000\n", + "ARG-Profit tax (% of commercial profits)\n", + "Statistical=0.835, p=0.000\n", + "ARG-Progression to secondary school (%)\n", + "Statistical=0.708, p=0.000\n", + "ARG-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.921, p=0.022\n", + "ARG-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.908, p=0.010\n", + "ARG-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.873, p=0.001\n", + "ARG-Public credit registry coverage (% of adults)\n", + "Statistical=0.856, p=0.001\n", + "ARG-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.889, p=0.003\n", + "ARG-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.896, p=0.005\n", + "ARG-Rail lines (total route-km)\n", + "Statistical=0.976, p=0.690\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.713, p=0.000\n", + "ARG-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.970, p=0.506\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Refugee population by country or territory of asylum\n", + "Statistical=0.958, p=0.242\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Refugee population by country or territory of origin\n", + "Statistical=0.972, p=0.546\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.962, p=0.309\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.962, p=0.309\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.731, p=0.000\n", + "ARG-Research and development expenditure (% of GDP)\n", + "Statistical=0.966, p=0.396\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Researchers in R&D (per million people)\n", + "Statistical=0.898, p=0.005\n", + "ARG-Reserves and related items (BoP, current US$)\n", + "Statistical=0.910, p=0.012\n", + "ARG-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.762, p=0.000\n", + "ARG-Rural land area (sq. km)\n", + "Statistical=0.929, p=0.036\n", + "ARG-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.964, p=0.349\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.970, p=0.510\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Rural population\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Rural population (% of total population)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Rural population growth (annual %)\n", + "Statistical=0.736, p=0.000\n", + "ARG-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.967, p=0.410\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.914, p=0.014\n", + "ARG-Scientific and technical journal articles\n", + "Statistical=0.879, p=0.002\n", + "ARG-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.888, p=0.003\n", + "ARG-Secure Internet servers\n", + "Statistical=0.929, p=0.036\n", + "ARG-Secure Internet servers (per 1 million people)\n", + "Statistical=0.930, p=0.038\n", + "ARG-Service exports (BoP, current US$)\n", + "Statistical=0.931, p=0.042\n", + "ARG-Service imports (BoP, current US$)\n", + "Statistical=0.717, p=0.000\n", + "ARG-Sex ratio at birth (male births per female births)\n", + "Statistical=0.945, p=0.103\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Social contributions (% of revenue)\n", + "Statistical=0.726, p=0.000\n", + "ARG-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.925, p=0.028\n", + "ARG-Start-up procedures to register a business (number)\n", + "Statistical=0.944, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.752, p=0.000\n", + "ARG-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.929, p=0.037\n", + "ARG-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.912, p=0.013\n", + "ARG-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.912, p=0.013\n", + "ARG-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.721, p=0.000\n", + "ARG-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.950, p=0.145\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.808, p=0.000\n", + "ARG-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.737, p=0.000\n", + "ARG-Surface area (sq. km)\n", + "Statistical=0.855, p=0.001\n", + "ARG-Tax payments (number)\n", + "Statistical=0.912, p=0.012\n", + "ARG-Tax revenue (% of GDP)\n", + "Statistical=0.903, p=0.007\n", + "ARG-Taxes less subsidies on products (current US$)\n", + "Statistical=0.875, p=0.002\n", + "ARG-Taxes on goods and services (% of revenue)\n", + "Statistical=0.875, p=0.002\n", + "ARG-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.716, p=0.000\n", + "ARG-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.944, p=0.099\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.906, p=0.009\n", + "ARG-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.914, p=0.015\n", + "ARG-Time required to build a warehouse (days)\n", + "Statistical=0.875, p=0.002\n", + "ARG-Time required to enforce a contract (days)\n", + "Statistical=0.622, p=0.000\n", + "ARG-Time required to get electricity (days)\n", + "Statistical=0.915, p=0.016\n", + "ARG-Time required to register property (days)\n", + "Statistical=0.716, p=0.000\n", + "ARG-Time required to start a business (days)\n", + "Statistical=0.676, p=0.000\n", + "ARG-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.622, p=0.000\n", + "ARG-Time to obtain an electrical connection (days)\n", + "Statistical=0.633, p=0.000\n", + "ARG-Time to prepare and pay taxes (hours)\n", + "Statistical=0.618, p=0.000\n", + "ARG-Time to resolve insolvency (years)\n", + "Statistical=0.675, p=0.000\n", + "ARG-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.300, p=0.000\n", + "ARG-Total fisheries production (metric tons)\n", + "Statistical=0.269, p=0.000\n", + "ARG-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.322, p=0.000\n", + "ARG-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.675, p=0.000\n", + "ARG-Total natural resources rents (% of GDP)\n", + "Statistical=0.844, p=0.000\n", + "ARG-Total reserves (includes gold, current US$)\n", + "Statistical=0.884, p=0.003\n", + "ARG-Total reserves in months of imports\n", + "Statistical=0.899, p=0.006\n", + "ARG-Total reserves minus gold (current US$)\n", + "Statistical=0.822, p=0.000\n", + "ARG-Total tax and contribution rate (% of profit)\n", + "Statistical=0.950, p=0.143\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Trade (% of GDP)\n", + "Statistical=0.781, p=0.000\n", + "ARG-Trade in services (% of GDP)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Transport services (% of commercial service exports)\n", + "Statistical=0.959, p=0.259\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Transport services (% of commercial service imports)\n", + "Statistical=0.940, p=0.076\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Transport services (% of service exports, BoP)\n", + "Statistical=0.961, p=0.296\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Transport services (% of service imports, BoP)\n", + "Statistical=0.961, p=0.302\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Travel services (% of commercial service exports)\n", + "Statistical=0.926, p=0.030\n", + "ARG-Travel services (% of commercial service imports)\n", + "Statistical=0.963, p=0.338\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Travel services (% of service exports, BoP)\n", + "Statistical=0.967, p=0.425\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Travel services (% of service imports, BoP)\n", + "Statistical=0.967, p=0.425\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.763, p=0.000\n", + "ARG-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-UHC service coverage index\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.875, p=0.001\n", + "ARG-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.903, p=0.007\n", + "ARG-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.920, p=0.020\n", + "ARG-Urban land area (sq. km)\n", + "Statistical=0.931, p=0.042\n", + "ARG-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.893, p=0.004\n", + "ARG-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.908, p=0.010\n", + "ARG-Urban population\n", + "Statistical=0.927, p=0.033\n", + "ARG-Urban population (% of total population)\n", + "Statistical=0.921, p=0.022\n", + "ARG-Urban population growth (annual %)\n", + "Statistical=0.701, p=0.000\n", + "ARG-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.701, p=0.000\n", + "ARG-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.701, p=0.000\n", + "ARG-GDP (current US$)+1\n", + "Statistical=0.701, p=0.000\n", + "ARG-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GDP (current US$)+2\n", + "Statistical=0.964, p=0.359\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GDP (current US$)+3\n", + "Statistical=0.978, p=0.739\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GDP (current US$)+5\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GDP (current US$)+8\n", + "Statistical=0.958, p=0.240\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GDP (current US$)+13\n", + "Statistical=0.951, p=0.158\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-GDP (current US$)+21\n", + "Statistical=0.951, p=0.158\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.734, p=0.000\n", + "ARG-Deposit interest rate (%)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Other taxes (% of revenue)\n", + "Statistical=0.922, p=0.024\n", + "ARG-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Taxes on international trade (% of revenue)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Broad money (% of GDP)\n", + "Statistical=0.878, p=0.002\n", + "ARG-Broad money growth (annual %)\n", + "Statistical=0.964, p=0.354\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Broad money to total reserves ratio\n", + "Statistical=0.876, p=0.002\n", + "ARG-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.961, p=0.284\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.806, p=0.000\n", + "ARG-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.944, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-External health expenditure (% of current health expenditure)\n", + "Statistical=0.835, p=0.000\n", + "ARG-External health expenditure per capita (current US$)\n", + "Statistical=0.569, p=0.000\n", + "ARG-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.917, p=0.018\n", + "ARG-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.832, p=0.000\n", + "ARG-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "ARG-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.851, p=0.000\n", + "ARG-People practicing open defecation (% of population)\n", + "Statistical=0.876, p=0.002\n", + "ARG-Taxes on exports (% of tax revenue)\n", + "Statistical=0.872, p=0.001\n", + "ARG-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.827, p=0.000\n", + "ARG-Country\n", + "Statistical=0.866, p=0.001\n", + "ARG-Year\n", + "Statistical=0.874, p=0.001\n", + "ARG-Continent\n", + "Statistical=0.954, p=0.185\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Adjusted net national income (current US$)\n", + "Statistical=0.862, p=0.001\n", + "PER-Adjusted net national income per capita (current US$)\n", + "Statistical=0.772, p=0.000\n", + "PER-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.852, p=0.000\n", + "PER-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.908, p=0.010\n", + "PER-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.897, p=0.005\n", + "PER-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.904, p=0.008\n", + "PER-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.603, p=0.000\n", + "PER-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.590, p=0.000\n", + "PER-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.610, p=0.000\n", + "PER-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.605, p=0.000\n", + "PER-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.613, p=0.000\n", + "PER-Age dependency ratio (% of working-age population)\n", + "Statistical=0.577, p=0.000\n", + "PER-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.594, p=0.000\n", + "PER-Agricultural land (% of land area)\n", + "Statistical=0.608, p=0.000\n", + "PER-Agricultural land (sq. km)\n", + "Statistical=0.597, p=0.000\n", + "PER-Agricultural methane emissions (% of total)\n", + "Statistical=0.871, p=0.001\n", + "PER-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.826, p=0.000\n", + "PER-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.842, p=0.000\n", + "PER-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.983, p=0.875\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.874, p=0.001\n", + "PER-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.845, p=0.000\n", + "PER-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.977, p=0.698\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Aquaculture production (metric tons)\n", + "Statistical=0.845, p=0.000\n", + "PER-Arable land (% of land area)\n", + "Statistical=0.833, p=0.000\n", + "PER-Arable land (hectares per person)\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Arable land (hectares)\n", + "Statistical=0.866, p=0.001\n", + "PER-Armed forces personnel (% of total labor force)\n", + "Statistical=0.934, p=0.050\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.854, p=0.000\n", + "PER-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.963, p=0.331\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.867, p=0.001\n", + "PER-Average precipitation in depth (mm per year)\n", + "Statistical=0.947, p=0.115\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Average time to clear exports through customs (days)\n", + "Statistical=0.771, p=0.000\n", + "PER-Births attended by skilled health staff (% of total)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.840, p=0.000\n", + "PER-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.918, p=0.018\n", + "PER-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.981, p=0.823\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.967, p=0.410\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-CO2 emissions (kt)\n", + "Statistical=0.856, p=0.001\n", + "PER-CO2 emissions (metric tons per capita)\n", + "Statistical=0.825, p=0.000\n", + "PER-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.876, p=0.002\n", + "PER-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.913, p=0.013\n", + "PER-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.873, p=0.001\n", + "PER-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.823, p=0.000\n", + "PER-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.907, p=0.009\n", + "PER-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.851, p=0.000\n", + "PER-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.845, p=0.000\n", + "PER-Capture fisheries production (metric tons)\n", + "Statistical=0.815, p=0.000\n", + "PER-Cereal production (metric tons)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Cereal yield (kg per hectare)\n", + "Statistical=0.912, p=0.013\n", + "PER-Changes in inventories (current US$)\n", + "Statistical=0.954, p=0.192\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Chemicals (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Children out of school (% of primary school age)\n", + "Statistical=0.933, p=0.049\n", + "PER-Coal rents (% of GDP)\n", + "Statistical=0.933, p=0.049\n", + "PER-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.448, p=0.000\n", + "PER-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.450, p=0.000\n", + "PER-Commercial service exports (current US$)\n", + "Statistical=0.653, p=0.000\n", + "PER-Commercial service imports (current US$)\n", + "Statistical=0.866, p=0.001\n", + "PER-Completeness of birth registration (%)\n", + "Statistical=0.714, p=0.000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PER-Consumer price index (2010 = 100)\n", + "Statistical=0.873, p=0.001\n", + "PER-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.887, p=0.003\n", + "PER-Crop production index (2014-2016 = 100)\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Current account balance (% of GDP)\n", + "Statistical=0.908, p=0.010\n", + "PER-Current account balance (BoP, current US$)\n", + "Statistical=0.974, p=0.623\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Current health expenditure (% of GDP)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Current health expenditure per capita (current US$)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.914, p=0.014\n", + "PER-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.834, p=0.000\n", + "PER-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.872, p=0.001\n", + "PER-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.876, p=0.002\n", + "PER-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.826, p=0.000\n", + "PER-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.854, p=0.001\n", + "PER-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.896, p=0.005\n", + "PER-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.586, p=0.000\n", + "PER-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.586, p=0.000\n", + "PER-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.586, p=0.000\n", + "PER-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.586, p=0.000\n", + "PER-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.586, p=0.000\n", + "PER-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.807, p=0.000\n", + "PER-Electric power consumption (kWh per capita)\n", + "Statistical=0.962, p=0.316\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.887, p=0.003\n", + "PER-Electricity production from coal sources (% of total)\n", + "Statistical=0.962, p=0.316\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.862, p=0.001\n", + "PER-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.660, p=0.000\n", + "PER-Electricity production from oil sources (% of total)\n", + "Statistical=0.899, p=0.006\n", + "PER-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.669, p=0.000\n", + "PER-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.776, p=0.000\n", + "PER-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.766, p=0.000\n", + "PER-Energy related methane emissions (% of total)\n", + "Statistical=0.724, p=0.000\n", + "PER-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.933, p=0.047\n", + "PER-Export unit value index (2000 = 100)\n", + "Statistical=0.872, p=0.001\n", + "PER-Export value index (2000 = 100)\n", + "Statistical=0.798, p=0.000\n", + "PER-Export volume index (2000 = 100)\n", + "Statistical=0.794, p=0.000\n", + "PER-Exports of goods and services (% of GDP)\n", + "Statistical=0.657, p=0.000\n", + "PER-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.944, p=0.098\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Exports of goods and services (current US$)\n", + "Statistical=0.858, p=0.001\n", + "PER-External balance on goods and services (% of GDP)\n", + "Statistical=0.895, p=0.005\n", + "PER-External balance on goods and services (current US$)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.731, p=0.000\n", + "PER-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Final consumption expenditure (% of GDP)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Final consumption expenditure (current US$)\n", + "Statistical=0.900, p=0.006\n", + "PER-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.867, p=0.001\n", + "PER-Firms offering formal training (% of firms)\n", + "Statistical=0.853, p=0.000\n", + "PER-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.835, p=0.000\n", + "PER-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.804, p=0.000\n", + "PER-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.776, p=0.000\n", + "PER-Fixed broadband subscriptions\n", + "Statistical=0.891, p=0.004\n", + "PER-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.922, p=0.023\n", + "PER-Fixed telephone subscriptions\n", + "Statistical=0.877, p=0.002\n", + "PER-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.883, p=0.002\n", + "PER-Food exports (% of merchandise exports)\n", + "Statistical=0.832, p=0.000\n", + "PER-Food imports (% of merchandise imports)\n", + "Statistical=0.897, p=0.005\n", + "PER-Food production index (2014-2016 = 100)\n", + "Statistical=0.836, p=0.000\n", + "PER-Forest area (% of land area)\n", + "Statistical=0.899, p=0.006\n", + "PER-Forest area (sq. km)\n", + "Statistical=0.943, p=0.091\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Forest rents (% of GDP)\n", + "Statistical=0.966, p=0.400\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.829, p=0.000\n", + "PER-Fuel exports (% of merchandise exports)\n", + "Statistical=0.818, p=0.000\n", + "PER-Fuel imports (% of merchandise imports)\n", + "Statistical=0.836, p=0.000\n", + "PER-GDP (current US$)\n", + "Statistical=0.919, p=0.020\n", + "PER-GDP deflator (base year varies by country)\n", + "Statistical=0.946, p=0.108\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.874, p=0.001\n", + "PER-GDP growth (annual %)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-GDP per capita (current US$)\n", + "Statistical=0.844, p=0.000\n", + "PER-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.886, p=0.003\n", + "PER-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.784, p=0.000\n", + "PER-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.680, p=0.000\n", + "PER-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.689, p=0.000\n", + "PER-GNI (current US$)\n", + "Statistical=0.774, p=0.000\n", + "PER-GNI growth (annual %)\n", + "Statistical=0.686, p=0.000\n", + "PER-GNI per capita growth (annual %)\n", + "Statistical=0.701, p=0.000\n", + "PER-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.963, p=0.333\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-General government final consumption expenditure (current US$)\n", + "Statistical=0.968, p=0.446\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Gini index\n", + "Statistical=0.915, p=0.015\n", + "PER-Goods exports (BoP, current US$)\n", + "Statistical=0.878, p=0.002\n", + "PER-Goods imports (BoP, current US$)\n", + "Statistical=0.905, p=0.008\n", + "PER-Grants and other revenue (% of revenue)\n", + "Statistical=0.780, p=0.000\n", + "PER-Gross capital formation (% of GDP)\n", + "Statistical=0.861, p=0.001\n", + "PER-Gross capital formation (current US$)\n", + "Statistical=0.880, p=0.002\n", + "PER-Gross domestic savings (% of GDP)\n", + "Statistical=0.962, p=0.316\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Gross domestic savings (current US$)\n", + "Statistical=0.970, p=0.507\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.757, p=0.000\n", + "PER-Gross fixed capital formation (current US$)\n", + "Statistical=0.654, p=0.000\n", + "PER-Gross national expenditure (% of GDP)\n", + "Statistical=0.654, p=0.000\n", + "PER-Gross national expenditure (current US$)\n", + "Statistical=0.585, p=0.000\n", + "PER-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.977, p=0.698\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Gross savings (% of GDP)\n", + "Statistical=0.968, p=0.435\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Gross savings (current US$)\n", + "Statistical=0.957, p=0.232\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.818, p=0.000\n", + "PER-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.824, p=0.000\n", + "PER-High-technology exports (% of manufactured exports)\n", + "Statistical=0.884, p=0.002\n", + "PER-High-technology exports (current US$)\n", + "Statistical=0.891, p=0.004\n", + "PER-Hospital beds (per 1,000 people)\n", + "Statistical=0.919, p=0.020\n", + "PER-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.868, p=0.001\n", + "PER-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.769, p=0.000\n", + "PER-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.769, p=0.000\n", + "PER-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.769, p=0.000\n", + "PER-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.948, p=0.129\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.984, p=0.912\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.954, p=0.181\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.952, p=0.163\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-ICT goods exports (% of total goods exports)\n", + "Statistical=0.900, p=0.006\n", + "PER-ICT goods imports (% total goods imports)\n", + "Statistical=0.946, p=0.110\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.817, p=0.000\n", + "PER-ICT service exports (BoP, current US$)\n", + "Statistical=0.793, p=0.000\n", + "PER-Import unit value index (2000 = 100)\n", + "Statistical=0.829, p=0.000\n", + "PER-Import value index (2000 = 100)\n", + "Statistical=0.841, p=0.000\n", + "PER-Import volume index (2000 = 100)\n", + "Statistical=0.935, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Imports of goods and services (% of GDP)\n", + "Statistical=0.879, p=0.002\n", + "PER-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.782, p=0.000\n", + "PER-Imports of goods and services (current US$)\n", + "Statistical=0.789, p=0.000\n", + "PER-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "PER-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Income share held by lowest 10%\n", + "Statistical=0.966, p=0.398\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Income share held by lowest 20%\n", + "Statistical=0.966, p=0.401\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Income share held by second 20%\n", + "Statistical=0.791, p=0.000\n", + "PER-Income share held by third 20%\n", + "Statistical=0.829, p=0.000\n", + "PER-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.816, p=0.000\n", + "PER-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.785, p=0.000\n", + "PER-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.801, p=0.000\n", + "PER-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.801, p=0.000\n", + "PER-Individuals using the Internet (% of population)\n", + "Statistical=0.789, p=0.000\n", + "PER-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.809, p=0.000\n", + "PER-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.470, p=0.000\n", + "PER-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.891, p=0.004\n", + "PER-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.900, p=0.006\n", + "PER-Intentional homicides (per 100,000 people)\n", + "Statistical=0.895, p=0.005\n", + "PER-Interest payments (% of revenue)\n", + "Statistical=0.755, p=0.000\n", + "PER-International migrant stock (% of population)\n", + "Statistical=0.667, p=0.000\n", + "PER-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.718, p=0.000\n", + "PER-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.580, p=0.000\n", + "PER-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.383, p=0.000\n", + "PER-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.350, p=0.000\n", + "PER-Land area (sq. km)\n", + "Statistical=0.796, p=0.000\n", + "PER-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.762, p=0.000\n", + "PER-Land under cereal production (hectares)\n", + "Statistical=0.750, p=0.000\n", + "PER-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.855, p=0.001\n", + "PER-Lifetime risk of maternal death (%)\n", + "Statistical=0.867, p=0.001\n", + "PER-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.851, p=0.000\n", + "PER-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.803, p=0.000\n", + "PER-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.854, p=0.001\n", + "PER-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.846, p=0.000\n", + "PER-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.824, p=0.000\n", + "PER-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.770, p=0.000\n", + "PER-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.914, p=0.015\n", + "PER-Low-birthweight babies (% of births)\n", + "Statistical=0.925, p=0.029\n", + "PER-Lower secondary school starting age (years)\n", + "Statistical=0.811, p=0.000\n", + "PER-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.810, p=0.000\n", + "PER-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.811, p=0.000\n", + "PER-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.951, p=0.154\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Marine protected areas (% of territorial waters)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.856, p=0.001\n", + "PER-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.904, p=0.008\n", + "PER-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.903, p=0.007\n", + "PER-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.893, p=0.004\n", + "PER-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.869, p=0.001\n", + "PER-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.859, p=0.001\n", + "PER-Merchandise exports (current US$)\n", + "Statistical=0.901, p=0.006\n", + "PER-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.870, p=0.001\n", + "PER-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.875, p=0.002\n", + "PER-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.849, p=0.000\n", + "PER-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.919, p=0.020\n", + "PER-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.846, p=0.000\n", + "PER-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.931, p=0.042\n", + "PER-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.889, p=0.003\n", + "PER-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.924, p=0.027\n", + "PER-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.861, p=0.001\n", + "PER-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.900, p=0.006\n", + "PER-Merchandise imports (current US$)\n", + "Statistical=0.791, p=0.000\n", + "PER-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.883, p=0.002\n", + "PER-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.781, p=0.000\n", + "PER-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.957, p=0.226\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.864, p=0.001\n", + "PER-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.843, p=0.000\n", + "PER-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.875, p=0.002\n", + "PER-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.925, p=0.029\n", + "PER-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.847, p=0.000\n", + "PER-Merchandise trade (% of GDP)\n", + "Statistical=0.969, p=0.472\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Methane emissions (% change from 1990)\n", + "Statistical=0.924, p=0.027\n", + "PER-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.924, p=0.027\n", + "PER-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.895, p=0.005\n", + "PER-Military expenditure (% of GDP)\n", + "Statistical=0.848, p=0.000\n", + "PER-Military expenditure (% of general government expenditure)\n", + "Statistical=0.849, p=0.000\n", + "PER-Military expenditure (current USD)\n", + "Statistical=0.968, p=0.458\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Mineral rents (% of GDP)\n", + "Statistical=0.731, p=0.000\n", + "PER-Mobile cellular subscriptions\n", + "Statistical=0.948, p=0.130\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.948, p=0.123\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.697, p=0.000\n", + "PER-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.829, p=0.000\n", + "PER-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.796, p=0.000\n", + "PER-Natural gas rents (% of GDP)\n", + "Statistical=0.905, p=0.008\n", + "PER-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.614, p=0.000\n", + "PER-Net capital account (BoP, current US$)\n", + "Statistical=0.973, p=0.587\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.933, p=0.048\n", + "PER-Net financial account (BoP, current US$)\n", + "Statistical=0.952, p=0.164\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Net migration\n", + "Statistical=0.876, p=0.002\n", + "PER-Net primary income (BoP, current US$)\n", + "Statistical=0.876, p=0.002\n", + "PER-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.912, p=0.012\n", + "PER-Net secondary income (BoP, current US$)\n", + "Statistical=0.846, p=0.000\n", + "PER-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.725, p=0.000\n", + "PER-Net trade in goods (BoP, current US$)\n", + "Statistical=0.724, p=0.000\n", + "PER-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.740, p=0.000\n", + "PER-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.852, p=0.000\n", + "PER-New businesses registered (number)\n", + "Statistical=0.683, p=0.000\n", + "PER-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.807, p=0.000\n", + "PER-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.815, p=0.000\n", + "PER-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.926, p=0.031\n", + "PER-Number of deaths ages 10-14 years\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Number of deaths ages 15-19 years\n", + "Statistical=0.961, p=0.290\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Number of deaths ages 20-24 years\n", + "Statistical=0.879, p=0.002\n", + "PER-Number of deaths ages 5-9 years\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Number of infant deaths\n", + "Statistical=0.943, p=0.091\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Number of maternal deaths\n", + "Statistical=0.915, p=0.015\n", + "PER-Number of neonatal deaths\n", + "Statistical=0.983, p=0.888\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Number of under-five deaths\n", + "Statistical=0.920, p=0.021\n", + "PER-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.941, p=0.081\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.892, p=0.004\n", + "PER-Oil rents (% of GDP)\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.944, p=0.099\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.895, p=0.005\n", + "PER-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.945, p=0.107\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.899, p=0.006\n", + "PER-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.899, p=0.006\n", + "PER-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.915, p=0.016\n", + "PER-People using at least basic drinking water services (% of population)\n", + "Statistical=0.845, p=0.000\n", + "PER-People using at least basic sanitation services (% of population)\n", + "Statistical=0.956, p=0.215\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-People using safely managed sanitation services (% of population)\n", + "Statistical=0.956, p=0.215\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Permanent cropland (% of land area)\n", + "Statistical=0.962, p=0.311\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Physicians (per 1,000 people)\n", + "Statistical=0.882, p=0.002\n", + "PER-Population ages 0-14 (% of total population)\n", + "Statistical=0.882, p=0.002\n", + "PER-Population ages 15-64 (% of total population)\n", + "Statistical=0.925, p=0.029\n", + "PER-Population ages 65 and above (% of total population)\n", + "Statistical=0.841, p=0.000\n", + "PER-Population density (people per sq. km of land area)\n", + "Statistical=0.964, p=0.355\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Population growth (annual %)\n", + "Statistical=0.882, p=0.002\n", + "PER-Population in largest city\n", + "Statistical=0.891, p=0.004\n", + "PER-Population in the largest city (% of urban population)\n", + "Statistical=0.820, p=0.000\n", + "PER-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.919, p=0.020\n", + "PER-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.961, p=0.299\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.899, p=0.006\n", + "PER-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.902, p=0.007\n", + "PER-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.915, p=0.016\n", + "PER-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.901, p=0.007\n", + "PER-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.901, p=0.007\n", + "PER-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.913, p=0.014\n", + "PER-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.845, p=0.000\n", + "PER-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.973, p=0.598\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.886, p=0.003\n", + "PER-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.886, p=0.003\n", + "PER-Prevalence of undernourishment (% of population)\n", + "Statistical=0.924, p=0.027\n", + "PER-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.974, p=0.625\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Primary income payments (BoP, current US$)\n", + "Statistical=0.855, p=0.001\n", + "PER-Primary income receipts (BoP, current US$)\n", + "Statistical=0.886, p=0.003\n", + "PER-Primary school starting age (years)\n", + "Statistical=0.896, p=0.005\n", + "PER-Private credit bureau coverage (% of adults)\n", + "Statistical=0.854, p=0.001\n", + "PER-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.901, p=0.007\n", + "PER-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.904, p=0.008\n", + "PER-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.913, p=0.014\n", + "PER-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.920, p=0.021\n", + "PER-Procedures to build a warehouse (number)\n", + "Statistical=0.956, p=0.206\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Procedures to register property (number)\n", + "Statistical=0.885, p=0.003\n", + "PER-Profit tax (% of commercial profits)\n", + "Statistical=0.885, p=0.003\n", + "PER-Progression to secondary school (%)\n", + "Statistical=0.892, p=0.004\n", + "PER-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.863, p=0.001\n", + "PER-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.871, p=0.001\n", + "PER-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.842, p=0.000\n", + "PER-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.827, p=0.000\n", + "PER-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.906, p=0.009\n", + "PER-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.866, p=0.001\n", + "PER-Public credit registry coverage (% of adults)\n", + "Statistical=0.856, p=0.001\n", + "PER-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.893, p=0.004\n", + "PER-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.851, p=0.000\n", + "PER-Rail lines (total route-km)\n", + "Statistical=0.985, p=0.928\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.916, p=0.016\n", + "PER-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.972, p=0.562\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Refugee population by country or territory of asylum\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Refugee population by country or territory of origin\n", + "Statistical=0.961, p=0.292\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.849, p=0.000\n", + "PER-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.849, p=0.000\n", + "PER-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.882, p=0.002\n", + "PER-Research and development expenditure (% of GDP)\n", + "Statistical=0.852, p=0.000\n", + "PER-Researchers in R&D (per million people)\n", + "Statistical=0.872, p=0.001\n", + "PER-Reserves and related items (BoP, current US$)\n", + "Statistical=0.933, p=0.048\n", + "PER-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.885, p=0.003\n", + "PER-Rural land area (sq. km)\n", + "Statistical=0.846, p=0.000\n", + "PER-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.933, p=0.049\n", + "PER-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.970, p=0.501\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Rural population\n", + "Statistical=0.858, p=0.001\n", + "PER-Rural population (% of total population)\n", + "Statistical=0.858, p=0.001\n", + "PER-Rural population growth (annual %)\n", + "Statistical=0.868, p=0.001\n", + "PER-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.845, p=0.000\n", + "PER-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.892, p=0.004\n", + "PER-Scientific and technical journal articles\n", + "Statistical=0.871, p=0.001\n", + "PER-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.879, p=0.002\n", + "PER-Secure Internet servers\n", + "Statistical=0.968, p=0.458\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Secure Internet servers (per 1 million people)\n", + "Statistical=0.863, p=0.001\n", + "PER-Service exports (BoP, current US$)\n", + "Statistical=0.862, p=0.001\n", + "PER-Service imports (BoP, current US$)\n", + "Statistical=0.908, p=0.010\n", + "PER-Sex ratio at birth (male births per female births)\n", + "Statistical=0.839, p=0.000\n", + "PER-Social contributions (% of revenue)\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.964, p=0.358\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Start-up procedures to register a business (number)\n", + "Statistical=0.962, p=0.315\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.895, p=0.005\n", + "PER-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.845, p=0.000\n", + "PER-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.889, p=0.003\n", + "PER-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.889, p=0.003\n", + "PER-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.909, p=0.011\n", + "PER-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.836, p=0.000\n", + "PER-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.742, p=0.000\n", + "PER-Surface area (sq. km)\n", + "Statistical=0.628, p=0.000\n", + "PER-Tax payments (number)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Tax revenue (% of GDP)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Taxes less subsidies on products (current US$)\n", + "Statistical=0.877, p=0.002\n", + "PER-Taxes on goods and services (% of revenue)\n", + "Statistical=0.877, p=0.002\n", + "PER-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.917, p=0.018\n", + "PER-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.844, p=0.000\n", + "PER-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.852, p=0.000\n", + "PER-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Time required to build a warehouse (days)\n", + "Statistical=0.877, p=0.002\n", + "PER-Time required to enforce a contract (days)\n", + "Statistical=0.881, p=0.002\n", + "PER-Time required to get electricity (days)\n", + "Statistical=0.926, p=0.031\n", + "PER-Time required to register property (days)\n", + "Statistical=0.917, p=0.018\n", + "PER-Time required to start a business (days)\n", + "Statistical=0.650, p=0.000\n", + "PER-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.646, p=0.000\n", + "PER-Time to obtain an electrical connection (days)\n", + "Statistical=0.609, p=0.000\n", + "PER-Time to prepare and pay taxes (hours)\n", + "Statistical=0.394, p=0.000\n", + "PER-Time to resolve insolvency (years)\n", + "Statistical=0.638, p=0.000\n", + "PER-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.598, p=0.000\n", + "PER-Total fisheries production (metric tons)\n", + "Statistical=0.544, p=0.000\n", + "PER-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.631, p=0.000\n", + "PER-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.388, p=0.000\n", + "PER-Total natural resources rents (% of GDP)\n", + "Statistical=0.873, p=0.001\n", + "PER-Total reserves (includes gold, current US$)\n", + "Statistical=0.914, p=0.014\n", + "PER-Total reserves in months of imports\n", + "Statistical=0.780, p=0.000\n", + "PER-Total reserves minus gold (current US$)\n", + "Statistical=0.956, p=0.216\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Total tax and contribution rate (% of profit)\n", + "Statistical=0.969, p=0.461\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Trade (% of GDP)\n", + "Statistical=0.817, p=0.000\n", + "PER-Trade in services (% of GDP)\n", + "Statistical=0.904, p=0.008\n", + "PER-Transport services (% of commercial service exports)\n", + "Statistical=0.863, p=0.001\n", + "PER-Transport services (% of commercial service imports)\n", + "Statistical=0.828, p=0.000\n", + "PER-Transport services (% of service exports, BoP)\n", + "Statistical=0.902, p=0.007\n", + "PER-Transport services (% of service imports, BoP)\n", + "Statistical=0.977, p=0.724\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Travel services (% of commercial service exports)\n", + "Statistical=0.833, p=0.000\n", + "PER-Travel services (% of commercial service imports)\n", + "Statistical=0.906, p=0.009\n", + "PER-Travel services (% of service exports, BoP)\n", + "Statistical=0.869, p=0.001\n", + "PER-Travel services (% of service imports, BoP)\n", + "Statistical=0.869, p=0.001\n", + "PER-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.889, p=0.003\n", + "PER-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.838, p=0.000\n", + "PER-UHC service coverage index\n", + "Statistical=0.837, p=0.000\n", + "PER-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.834, p=0.000\n", + "PER-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.899, p=0.006\n", + "PER-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.899, p=0.006\n", + "PER-Urban land area (sq. km)\n", + "Statistical=0.880, p=0.002\n", + "PER-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.916, p=0.017\n", + "PER-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.885, p=0.003\n", + "PER-Urban population\n", + "Statistical=0.850, p=0.000\n", + "PER-Urban population (% of total population)\n", + "Statistical=0.884, p=0.002\n", + "PER-Urban population growth (annual %)\n", + "Statistical=0.735, p=0.000\n", + "PER-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.735, p=0.000\n", + "PER-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.746, p=0.000\n", + "PER-GDP (current US$)+1\n", + "Statistical=0.746, p=0.000\n", + "PER-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-GDP (current US$)+2\n", + "Statistical=0.938, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-GDP (current US$)+3\n", + "Statistical=0.967, p=0.424\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-GDP (current US$)+5\n", + "Statistical=0.936, p=0.057\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-GDP (current US$)+8\n", + "Statistical=0.984, p=0.907\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-GDP (current US$)+13\n", + "Statistical=0.906, p=0.009\n", + "PER-GDP (current US$)+21\n", + "Statistical=0.906, p=0.009\n", + "PER-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.902, p=0.007\n", + "PER-Deposit interest rate (%)\n", + "Statistical=0.840, p=0.000\n", + "PER-Other taxes (% of revenue)\n", + "Statistical=0.890, p=0.004\n", + "PER-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.835, p=0.000\n", + "PER-Taxes on international trade (% of revenue)\n", + "Statistical=0.835, p=0.000\n", + "PER-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.798, p=0.000\n", + "PER-Broad money (% of GDP)\n", + "Statistical=0.974, p=0.619\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Broad money growth (annual %)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Broad money to total reserves ratio\n", + "Statistical=0.980, p=0.811\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.628, p=0.000\n", + "PER-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.844, p=0.000\n", + "PER-External health expenditure (% of current health expenditure)\n", + "Statistical=0.960, p=0.280\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-External health expenditure per capita (current US$)\n", + "Statistical=0.692, p=0.000\n", + "PER-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.848, p=0.000\n", + "PER-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.883, p=0.002\n", + "PER-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.964, p=0.349\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.852, p=0.000\n", + "PER-People practicing open defecation (% of population)\n", + "Statistical=0.818, p=0.000\n", + "PER-Taxes on exports (% of tax revenue)\n", + "Statistical=0.860, p=0.001\n", + "PER-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.803, p=0.000\n", + "PER-Country\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "PER-Year\n", + "Statistical=0.832, p=0.000\n", + "PER-Continent\n", + "Statistical=0.804, p=0.000\n", + "VEN-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Adjusted net national income (current US$)\n", + "Statistical=0.815, p=0.000\n", + "VEN-Adjusted net national income per capita (current US$)\n", + "Statistical=0.793, p=0.000\n", + "VEN-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.861, p=0.001\n", + "VEN-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.916, p=0.016\n", + "VEN-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.920, p=0.021\n", + "VEN-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.866, p=0.001\n", + "VEN-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.609, p=0.000\n", + "VEN-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.615, p=0.000\n", + "VEN-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.596, p=0.000\n", + "VEN-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.616, p=0.000\n", + "VEN-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.619, p=0.000\n", + "VEN-Age dependency ratio (% of working-age population)\n", + "Statistical=0.577, p=0.000\n", + "VEN-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.597, p=0.000\n", + "VEN-Agricultural land (% of land area)\n", + "Statistical=0.617, p=0.000\n", + "VEN-Agricultural land (sq. km)\n", + "Statistical=0.583, p=0.000\n", + "VEN-Agricultural methane emissions (% of total)\n", + "Statistical=0.794, p=0.000\n", + "VEN-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.864, p=0.001\n", + "VEN-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.850, p=0.000\n", + "VEN-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.922, p=0.024\n", + "VEN-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.810, p=0.000\n", + "VEN-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.924, p=0.026\n", + "VEN-Aquaculture production (metric tons)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Arable land (% of land area)\n", + "Statistical=0.810, p=0.000\n", + "VEN-Arable land (hectares per person)\n", + "Statistical=0.917, p=0.017\n", + "VEN-Arable land (hectares)\n", + "Statistical=0.861, p=0.001\n", + "VEN-Armed forces personnel (% of total labor force)\n", + "Statistical=0.917, p=0.017\n", + "VEN-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.858, p=0.001\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "VEN-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.877, p=0.002\n", + "VEN-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.918, p=0.018\n", + "VEN-Average precipitation in depth (mm per year)\n", + "Statistical=0.933, p=0.047\n", + "VEN-Average time to clear exports through customs (days)\n", + "Statistical=0.810, p=0.000\n", + "VEN-Births attended by skilled health staff (% of total)\n", + "Statistical=0.824, p=0.000\n", + "VEN-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.773, p=0.000\n", + "VEN-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.882, p=0.002\n", + "VEN-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.924, p=0.027\n", + "VEN-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.902, p=0.007\n", + "VEN-CO2 emissions (kt)\n", + "Statistical=0.864, p=0.001\n", + "VEN-CO2 emissions (metric tons per capita)\n", + "Statistical=0.790, p=0.000\n", + "VEN-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.884, p=0.002\n", + "VEN-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.907, p=0.010\n", + "VEN-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.794, p=0.000\n", + "VEN-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.921, p=0.022\n", + "VEN-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.812, p=0.000\n", + "VEN-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.850, p=0.000\n", + "VEN-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.863, p=0.001\n", + "VEN-Capture fisheries production (metric tons)\n", + "Statistical=0.838, p=0.000\n", + "VEN-Cereal production (metric tons)\n", + "Statistical=0.869, p=0.001\n", + "VEN-Cereal yield (kg per hectare)\n", + "Statistical=0.887, p=0.003\n", + "VEN-Changes in inventories (current US$)\n", + "Statistical=0.914, p=0.014\n", + "VEN-Chemicals (% of value added in manufacturing)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Children out of school (% of primary school age)\n", + "Statistical=0.810, p=0.000\n", + "VEN-Coal rents (% of GDP)\n", + "Statistical=0.810, p=0.000\n", + "VEN-Combustible renewables and waste (% of total energy)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Commercial bank branches (per 100,000 adults)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Commercial service exports (current US$)\n", + "Statistical=0.798, p=0.000\n", + "VEN-Commercial service imports (current US$)\n", + "Statistical=0.884, p=0.003\n", + "VEN-Completeness of birth registration (%)\n", + "Statistical=0.815, p=0.000\n", + "VEN-Consumer price index (2010 = 100)\n", + "Statistical=0.862, p=0.001\n", + "VEN-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.814, p=0.000\n", + "VEN-Crop production index (2014-2016 = 100)\n", + "Statistical=0.825, p=0.000\n", + "VEN-Current account balance (% of GDP)\n", + "Statistical=0.875, p=0.001\n", + "VEN-Current account balance (BoP, current US$)\n", + "Statistical=0.916, p=0.017\n", + "VEN-Current health expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Current health expenditure per capita (current US$)\n", + "Statistical=0.860, p=0.001\n", + "VEN-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.739, p=0.000\n", + "VEN-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.778, p=0.000\n", + "VEN-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.746, p=0.000\n", + "VEN-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.963, p=0.339\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.952, p=0.164\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.905, p=0.008\n", + "VEN-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.750, p=0.000\n", + "VEN-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.752, p=0.000\n", + "VEN-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.761, p=0.000\n", + "VEN-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.758, p=0.000\n", + "VEN-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.758, p=0.000\n", + "VEN-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.929, p=0.036\n", + "VEN-Electric power consumption (kWh per capita)\n", + "Statistical=0.654, p=0.000\n", + "VEN-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.876, p=0.002\n", + "VEN-Electricity production from coal sources (% of total)\n", + "Statistical=0.654, p=0.000\n", + "VEN-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.956, p=0.207\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.744, p=0.000\n", + "VEN-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.755, p=0.000\n", + "VEN-Electricity production from oil sources (% of total)\n", + "Statistical=0.790, p=0.000\n", + "VEN-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.712, p=0.000\n", + "VEN-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.678, p=0.000\n", + "VEN-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.638, p=0.000\n", + "VEN-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.965, p=0.366\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Export unit value index (2000 = 100)\n", + "Statistical=0.856, p=0.001\n", + "VEN-Export value index (2000 = 100)\n", + "Statistical=0.676, p=0.000\n", + "VEN-Export volume index (2000 = 100)\n", + "Statistical=0.819, p=0.000\n", + "VEN-Exports of goods and services (% of GDP)\n", + "Statistical=0.883, p=0.002\n", + "VEN-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.861, p=0.001\n", + "VEN-Exports of goods and services (current US$)\n", + "Statistical=0.743, p=0.000\n", + "VEN-External balance on goods and services (% of GDP)\n", + "Statistical=0.903, p=0.008\n", + "VEN-External balance on goods and services (current US$)\n", + "Statistical=0.767, p=0.000\n", + "VEN-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Final consumption expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Final consumption expenditure (current US$)\n", + "Statistical=0.815, p=0.000\n", + "VEN-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.962, p=0.310\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Firms offering formal training (% of firms)\n", + "Statistical=0.960, p=0.280\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.894, p=0.004\n", + "VEN-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.966, p=0.406\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.972, p=0.562\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Fixed broadband subscriptions\n", + "Statistical=0.955, p=0.196\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.978, p=0.743\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Fixed telephone subscriptions\n", + "Statistical=0.966, p=0.401\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.771, p=0.000\n", + "VEN-Food exports (% of merchandise exports)\n", + "Statistical=0.933, p=0.047\n", + "VEN-Food imports (% of merchandise imports)\n", + "Statistical=0.866, p=0.001\n", + "VEN-Food production index (2014-2016 = 100)\n", + "Statistical=0.925, p=0.029\n", + "VEN-Forest area (% of land area)\n", + "Statistical=0.921, p=0.022\n", + "VEN-Forest area (sq. km)\n", + "Statistical=0.894, p=0.004\n", + "VEN-Forest rents (% of GDP)\n", + "Statistical=0.948, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.834, p=0.000\n", + "VEN-Fuel exports (% of merchandise exports)\n", + "Statistical=0.873, p=0.001\n", + "VEN-Fuel imports (% of merchandise imports)\n", + "Statistical=0.849, p=0.000\n", + "VEN-GDP (current US$)\n", + "Statistical=0.904, p=0.008\n", + "VEN-GDP deflator (base year varies by country)\n", + "Statistical=0.932, p=0.044\n", + "VEN-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.742, p=0.000\n", + "VEN-GDP growth (annual %)\n", + "Statistical=0.885, p=0.003\n", + "VEN-GDP per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.592, p=0.000\n", + "VEN-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.790, p=0.000\n", + "VEN-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.845, p=0.000\n", + "VEN-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.838, p=0.000\n", + "VEN-GNI (current US$)\n", + "Statistical=0.805, p=0.000\n", + "VEN-GNI growth (annual %)\n", + "Statistical=0.873, p=0.001\n", + "VEN-GNI per capita growth (annual %)\n", + "Statistical=0.855, p=0.001\n", + "VEN-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.955, p=0.203\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-General government final consumption expenditure (current US$)\n", + "Statistical=0.933, p=0.049\n", + "VEN-Gini index\n", + "Statistical=0.915, p=0.015\n", + "VEN-Goods exports (BoP, current US$)\n", + "Statistical=0.745, p=0.000\n", + "VEN-Goods imports (BoP, current US$)\n", + "Statistical=0.906, p=0.009\n", + "VEN-Grants and other revenue (% of revenue)\n", + "Statistical=0.786, p=0.000\n", + "VEN-Gross capital formation (% of GDP)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Gross capital formation (current US$)\n", + "Statistical=0.858, p=0.001\n", + "VEN-Gross domestic savings (% of GDP)\n", + "Statistical=0.929, p=0.038\n", + "VEN-Gross domestic savings (current US$)\n", + "Statistical=0.903, p=0.008\n", + "VEN-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.779, p=0.000\n", + "VEN-Gross fixed capital formation (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Gross national expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.978, p=0.734\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Gross savings (% of GDP)\n", + "Statistical=0.899, p=0.006\n", + "VEN-Gross savings (current US$)\n", + "Statistical=0.638, p=0.000\n", + "VEN-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.921, p=0.023\n", + "VEN-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.729, p=0.000\n", + "VEN-High-technology exports (% of manufactured exports)\n", + "Statistical=0.556, p=0.000\n", + "VEN-High-technology exports (current US$)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Hospital beds (per 1,000 people)\n", + "Statistical=0.916, p=0.017\n", + "VEN-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.907, p=0.009\n", + "VEN-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.698, p=0.000\n", + "VEN-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.698, p=0.000\n", + "VEN-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.698, p=0.000\n", + "VEN-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.898, p=0.005\n", + "VEN-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.889, p=0.003\n", + "VEN-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.693, p=0.000\n", + "VEN-ICT goods exports (% of total goods exports)\n", + "Statistical=0.808, p=0.000\n", + "VEN-ICT goods imports (% total goods imports)\n", + "Statistical=0.645, p=0.000\n", + "VEN-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.864, p=0.001\n", + "VEN-ICT service exports (BoP, current US$)\n", + "Statistical=0.826, p=0.000\n", + "VEN-Import unit value index (2000 = 100)\n", + "Statistical=0.921, p=0.022\n", + "VEN-Import value index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Import volume index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Imports of goods and services (% of GDP)\n", + "Statistical=0.823, p=0.000\n", + "VEN-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.776, p=0.000\n", + "VEN-Imports of goods and services (current US$)\n", + "Statistical=0.790, p=0.000\n", + "VEN-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "VEN-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Income share held by highest 20%\n", + "Statistical=0.548, p=0.000\n", + "VEN-Income share held by lowest 10%\n", + "Statistical=0.872, p=0.001\n", + "VEN-Income share held by lowest 20%\n", + "Statistical=0.872, p=0.001\n", + "VEN-Income share held by second 20%\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Income share held by third 20%\n", + "Statistical=0.880, p=0.002\n", + "VEN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.758, p=0.000\n", + "VEN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.809, p=0.000\n", + "VEN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.906, p=0.009\n", + "VEN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.880, p=0.002\n", + "VEN-Individuals using the Internet (% of population)\n", + "Statistical=0.772, p=0.000\n", + "VEN-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.934, p=0.050\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.496, p=0.000\n", + "VEN-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.733, p=0.000\n", + "VEN-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.893, p=0.004\n", + "VEN-Intentional homicides (per 100,000 people)\n", + "Statistical=0.732, p=0.000\n", + "VEN-Interest payments (% of revenue)\n", + "Statistical=0.759, p=0.000\n", + "VEN-International migrant stock (% of population)\n", + "Statistical=0.759, p=0.000\n", + "VEN-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.759, p=0.000\n", + "VEN-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.769, p=0.000\n", + "VEN-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.716, p=0.000\n", + "VEN-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.736, p=0.000\n", + "VEN-Land area (sq. km)\n", + "Statistical=0.743, p=0.000\n", + "VEN-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.736, p=0.000\n", + "VEN-Land under cereal production (hectares)\n", + "Statistical=0.740, p=0.000\n", + "VEN-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.824, p=0.000\n", + "VEN-Lifetime risk of maternal death (%)\n", + "Statistical=0.869, p=0.001\n", + "VEN-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.919, p=0.020\n", + "VEN-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.872, p=0.001\n", + "VEN-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.919, p=0.020\n", + "VEN-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.886, p=0.003\n", + "VEN-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Low-birthweight babies (% of births)\n", + "Statistical=0.931, p=0.042\n", + "VEN-Lower secondary school starting age (years)\n", + "Statistical=0.902, p=0.007\n", + "VEN-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.960, p=0.281\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.900, p=0.006\n", + "VEN-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.952, p=0.167\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Marine protected areas (% of territorial waters)\n", + "Statistical=0.956, p=0.209\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.953, p=0.171\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.959, p=0.258\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.948, p=0.123\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.869, p=0.001\n", + "VEN-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.859, p=0.001\n", + "VEN-Merchandise exports (current US$)\n", + "Statistical=0.890, p=0.004\n", + "VEN-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.931, p=0.043\n", + "VEN-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.866, p=0.001\n", + "VEN-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.816, p=0.000\n", + "VEN-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.628, p=0.000\n", + "VEN-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.879, p=0.002\n", + "VEN-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.956, p=0.206\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.685, p=0.000\n", + "VEN-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.896, p=0.005\n", + "VEN-Merchandise imports (current US$)\n", + "Statistical=0.828, p=0.000\n", + "VEN-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.801, p=0.000\n", + "VEN-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.926, p=0.030\n", + "VEN-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.833, p=0.000\n", + "VEN-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.874, p=0.001\n", + "VEN-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.865, p=0.001\n", + "VEN-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.822, p=0.000\n", + "VEN-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.816, p=0.000\n", + "VEN-Merchandise trade (% of GDP)\n", + "Statistical=0.965, p=0.374\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Methane emissions (% change from 1990)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.891, p=0.004\n", + "VEN-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.770, p=0.000\n", + "VEN-Military expenditure (% of GDP)\n", + "Statistical=0.874, p=0.001\n", + "VEN-Military expenditure (% of general government expenditure)\n", + "Statistical=0.810, p=0.000\n", + "VEN-Military expenditure (current USD)\n", + "Statistical=0.894, p=0.004\n", + "VEN-Mineral rents (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Mobile cellular subscriptions\n", + "Statistical=0.899, p=0.006\n", + "VEN-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.902, p=0.007\n", + "VEN-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.827, p=0.000\n", + "VEN-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.842, p=0.000\n", + "VEN-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.829, p=0.000\n", + "VEN-Natural gas rents (% of GDP)\n", + "Statistical=0.932, p=0.045\n", + "VEN-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.925, p=0.028\n", + "VEN-Net capital account (BoP, current US$)\n", + "Statistical=0.902, p=0.007\n", + "VEN-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.898, p=0.006\n", + "VEN-Net financial account (BoP, current US$)\n", + "Statistical=0.884, p=0.002\n", + "VEN-Net migration\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Net primary income (BoP, current US$)\n", + "Statistical=0.796, p=0.000\n", + "VEN-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.755, p=0.000\n", + "VEN-Net secondary income (BoP, current US$)\n", + "Statistical=0.779, p=0.000\n", + "VEN-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.678, p=0.000\n", + "VEN-Net trade in goods (BoP, current US$)\n", + "Statistical=0.678, p=0.000\n", + "VEN-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.678, p=0.000\n", + "VEN-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.678, p=0.000\n", + "VEN-New businesses registered (number)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.774, p=0.000\n", + "VEN-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.782, p=0.000\n", + "VEN-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.886, p=0.003\n", + "VEN-Number of deaths ages 10-14 years\n", + "Statistical=0.875, p=0.002\n", + "VEN-Number of deaths ages 15-19 years\n", + "Statistical=0.811, p=0.000\n", + "VEN-Number of deaths ages 20-24 years\n", + "Statistical=0.907, p=0.010\n", + "VEN-Number of deaths ages 5-9 years\n", + "Statistical=0.966, p=0.394\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Number of infant deaths\n", + "Statistical=0.649, p=0.000\n", + "VEN-Number of maternal deaths\n", + "Statistical=0.934, p=0.050\n", + "VEN-Number of neonatal deaths\n", + "Statistical=0.862, p=0.001\n", + "VEN-Number of under-five deaths\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.953, p=0.174\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.894, p=0.004\n", + "VEN-Oil rents (% of GDP)\n", + "Statistical=0.933, p=0.048\n", + "VEN-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.933, p=0.048\n", + "VEN-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.828, p=0.000\n", + "VEN-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.972, p=0.558\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.885, p=0.003\n", + "VEN-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.819, p=0.000\n", + "VEN-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.836, p=0.000\n", + "VEN-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.758, p=0.000\n", + "VEN-People using at least basic drinking water services (% of population)\n", + "Statistical=0.816, p=0.000\n", + "VEN-People using at least basic sanitation services (% of population)\n", + "Statistical=0.775, p=0.000\n", + "VEN-People using safely managed sanitation services (% of population)\n", + "Statistical=0.775, p=0.000\n", + "VEN-Permanent cropland (% of land area)\n", + "Statistical=0.944, p=0.098\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Physicians (per 1,000 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Population ages 0-14 (% of total population)\n", + "Statistical=0.932, p=0.044\n", + "VEN-Population ages 15-64 (% of total population)\n", + "Statistical=0.765, p=0.000\n", + "VEN-Population ages 65 and above (% of total population)\n", + "Statistical=0.815, p=0.000\n", + "VEN-Population density (people per sq. km of land area)\n", + "Statistical=0.946, p=0.112\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Population in largest city\n", + "Statistical=0.793, p=0.000\n", + "VEN-Population in the largest city (% of urban population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.821, p=0.000\n", + "VEN-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.808, p=0.000\n", + "VEN-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.758, p=0.000\n", + "VEN-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Pregnant women receiving prenatal care (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.812, p=0.000\n", + "VEN-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.759, p=0.000\n", + "VEN-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.816, p=0.000\n", + "VEN-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.949, p=0.132\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Prevalence of current tobacco use (% of adults)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Prevalence of undernourishment (% of population)\n", + "Statistical=0.766, p=0.000\n", + "VEN-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.933, p=0.048\n", + "VEN-Primary income payments (BoP, current US$)\n", + "Statistical=0.785, p=0.000\n", + "VEN-Primary income receipts (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Primary school starting age (years)\n", + "Statistical=0.791, p=0.000\n", + "VEN-Private credit bureau coverage (% of adults)\n", + "Statistical=0.796, p=0.000\n", + "VEN-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.796, p=0.000\n", + "VEN-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.759, p=0.000\n", + "VEN-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.871, p=0.001\n", + "VEN-Procedures to build a warehouse (number)\n", + "Statistical=0.955, p=0.198\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Procedures to register property (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Profit tax (% of commercial profits)\n", + "Statistical=0.846, p=0.000\n", + "VEN-Progression to secondary school (%)\n", + "Statistical=0.764, p=0.000\n", + "VEN-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.825, p=0.000\n", + "VEN-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.654, p=0.000\n", + "VEN-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.818, p=0.000\n", + "VEN-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.817, p=0.000\n", + "VEN-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.929, p=0.037\n", + "VEN-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.446, p=0.000\n", + "VEN-Public credit registry coverage (% of adults)\n", + "Statistical=0.664, p=0.000\n", + "VEN-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.704, p=0.000\n", + "VEN-Pump price for gasoline (US$ per liter)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Rail lines (total route-km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Refugee population by country or territory of asylum\n", + "Statistical=0.913, p=0.013\n", + "VEN-Refugee population by country or territory of origin\n", + "Statistical=0.876, p=0.002\n", + "VEN-Renewable electricity output (% of total electricity output)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.757, p=0.000\n", + "VEN-Research and development expenditure (% of GDP)\n", + "Statistical=0.834, p=0.000\n", + "VEN-Researchers in R&D (per million people)\n", + "Statistical=0.908, p=0.010\n", + "VEN-Reserves and related items (BoP, current US$)\n", + "Statistical=0.898, p=0.006\n", + "VEN-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.792, p=0.000\n", + "VEN-Rural land area (sq. km)\n", + "Statistical=0.894, p=0.004\n", + "VEN-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.962, p=0.308\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.905, p=0.008\n", + "VEN-Rural population\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Rural population (% of total population)\n", + "Statistical=0.927, p=0.032\n", + "VEN-Rural population growth (annual %)\n", + "Statistical=0.767, p=0.000\n", + "VEN-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.835, p=0.000\n", + "VEN-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.890, p=0.004\n", + "VEN-Scientific and technical journal articles\n", + "Statistical=0.921, p=0.022\n", + "VEN-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.906, p=0.009\n", + "VEN-Secure Internet servers\n", + "Statistical=0.907, p=0.009\n", + "VEN-Secure Internet servers (per 1 million people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Service exports (BoP, current US$)\n", + "Statistical=0.823, p=0.000\n", + "VEN-Service imports (BoP, current US$)\n", + "Statistical=0.758, p=0.000\n", + "VEN-Sex ratio at birth (male births per female births)\n", + "Statistical=0.802, p=0.000\n", + "VEN-Social contributions (% of revenue)\n", + "Statistical=0.786, p=0.000\n", + "VEN-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.901, p=0.007\n", + "VEN-Start-up procedures to register a business (number)\n", + "Statistical=0.902, p=0.007\n", + "VEN-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.852, p=0.000\n", + "VEN-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.883, p=0.002\n", + "VEN-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.834, p=0.000\n", + "VEN-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.758, p=0.000\n", + "VEN-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.814, p=0.000\n", + "VEN-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.799, p=0.000\n", + "VEN-Suicide mortality rate (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Surface area (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Tax payments (number)\n", + "Statistical=0.726, p=0.000\n", + "VEN-Tax revenue (% of GDP)\n", + "Statistical=0.876, p=0.002\n", + "VEN-Taxes less subsidies on products (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Taxes on goods and services (% of revenue)\n", + "Statistical=0.785, p=0.000\n", + "VEN-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.753, p=0.000\n", + "VEN-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.773, p=0.000\n", + "VEN-Terrestrial protected areas (% of total land area)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Time required to build a warehouse (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Time required to enforce a contract (days)\n", + "Statistical=0.625, p=0.000\n", + "VEN-Time required to get electricity (days)\n", + "Statistical=0.904, p=0.008\n", + "VEN-Time required to register property (days)\n", + "Statistical=0.753, p=0.000\n", + "VEN-Time required to start a business (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Time to obtain an electrical connection (days)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Time to prepare and pay taxes (hours)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Time to resolve insolvency (years)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Total fisheries production (metric tons)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Total natural resources rents (% of GDP)\n", + "Statistical=0.866, p=0.001\n", + "VEN-Total reserves (includes gold, current US$)\n", + "Statistical=0.879, p=0.002\n", + "VEN-Total reserves in months of imports\n", + "Statistical=0.953, p=0.171\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Total reserves minus gold (current US$)\n", + "Statistical=0.972, p=0.550\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Total tax and contribution rate (% of profit)\n", + "Statistical=0.957, p=0.231\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Trade (% of GDP)\n", + "Statistical=0.800, p=0.000\n", + "VEN-Trade in services (% of GDP)\n", + "Statistical=0.930, p=0.038\n", + "VEN-Transport services (% of commercial service exports)\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Transport services (% of commercial service imports)\n", + "Statistical=0.819, p=0.000\n", + "VEN-Transport services (% of service exports, BoP)\n", + "Statistical=0.809, p=0.000\n", + "VEN-Transport services (% of service imports, BoP)\n", + "Statistical=0.863, p=0.001\n", + "VEN-Travel services (% of commercial service exports)\n", + "Statistical=0.832, p=0.000\n", + "VEN-Travel services (% of commercial service imports)\n", + "Statistical=0.870, p=0.001\n", + "VEN-Travel services (% of service exports, BoP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Travel services (% of service imports, BoP)\n", + "Statistical=0.884, p=0.003\n", + "VEN-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.764, p=0.000\n", + "VEN-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.792, p=0.000\n", + "VEN-UHC service coverage index\n", + "Statistical=0.853, p=0.000\n", + "VEN-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.817, p=0.000\n", + "VEN-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.731, p=0.000\n", + "VEN-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.744, p=0.000\n", + "VEN-Urban land area (sq. km)\n", + "Statistical=0.791, p=0.000\n", + "VEN-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.821, p=0.000\n", + "VEN-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.874, p=0.001\n", + "VEN-Urban population\n", + "Statistical=0.773, p=0.000\n", + "VEN-Urban population (% of total population)\n", + "Statistical=0.735, p=0.000\n", + "VEN-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-GDP (current US$)+1\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-GDP (current US$)+2\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-GDP (current US$)+3\n", + "Statistical=0.177, p=0.000\n", + "VEN-GDP (current US$)+5\n", + "Statistical=0.917, p=0.018\n", + "VEN-GDP (current US$)+8\n", + "Statistical=0.958, p=0.237\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-GDP (current US$)+13\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-GDP (current US$)+21\n", + "Statistical=0.947, p=0.116\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.760, p=0.000\n", + "VEN-Deposit interest rate (%)\n", + "Statistical=0.802, p=0.000\n", + "VEN-Other taxes (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.929, p=0.037\n", + "VEN-Taxes on international trade (% of revenue)\n", + "Statistical=0.929, p=0.037\n", + "VEN-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.575, p=0.000\n", + "VEN-Broad money (% of GDP)\n", + "Statistical=0.827, p=0.000\n", + "VEN-Broad money growth (annual %)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Broad money to total reserves ratio\n", + "Statistical=0.823, p=0.000\n", + "VEN-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.952, p=0.164\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-External health expenditure (% of current health expenditure)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-External health expenditure per capita (current US$)\n", + "Statistical=0.513, p=0.000\n", + "VEN-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.811, p=0.000\n", + "VEN-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.765, p=0.000\n", + "VEN-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.880, p=0.002\n", + "VEN-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.900, p=0.006\n", + "VEN-People practicing open defecation (% of population)\n", + "Statistical=0.920, p=0.021\n", + "VEN-Taxes on exports (% of tax revenue)\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "VEN-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.911, p=0.012\n", + "VEN-Country\n", + "Statistical=0.921, p=0.023\n", + "VEN-Year\n", + "Statistical=0.909, p=0.011\n", + "VEN-Continent\n", + "Statistical=0.910, p=0.011\n", + "COL-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Adjusted net national income (current US$)\n", + "Statistical=0.855, p=0.001\n", + "COL-Adjusted net national income per capita (current US$)\n", + "Statistical=0.804, p=0.000\n", + "COL-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.839, p=0.000\n", + "COL-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.968, p=0.451\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.977, p=0.699\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.914, p=0.014\n", + "COL-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.618, p=0.000\n", + "COL-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.615, p=0.000\n", + "COL-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.620, p=0.000\n", + "COL-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.611, p=0.000\n", + "COL-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.615, p=0.000\n", + "COL-Age dependency ratio (% of working-age population)\n", + "Statistical=0.578, p=0.000\n", + "COL-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.620, p=0.000\n", + "COL-Agricultural land (% of land area)\n", + "Statistical=0.620, p=0.000\n", + "COL-Agricultural land (sq. km)\n", + "Statistical=0.620, p=0.000\n", + "COL-Agricultural methane emissions (% of total)\n", + "Statistical=0.718, p=0.000\n", + "COL-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.900, p=0.006\n", + "COL-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.967, p=0.409\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.884, p=0.002\n", + "COL-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.860, p=0.001\n", + "COL-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.967, p=0.415\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Aquaculture production (metric tons)\n", + "Statistical=0.868, p=0.001\n", + "COL-Arable land (% of land area)\n", + "Statistical=0.880, p=0.002\n", + "COL-Arable land (hectares per person)\n", + "Statistical=0.973, p=0.574\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Arable land (hectares)\n", + "Statistical=0.947, p=0.116\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Armed forces personnel (% of total labor force)\n", + "Statistical=0.981, p=0.840\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.951, p=0.152\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.962, p=0.315\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.846, p=0.000\n", + "COL-Average precipitation in depth (mm per year)\n", + "Statistical=0.944, p=0.097\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Average time to clear exports through customs (days)\n", + "Statistical=0.881, p=0.002\n", + "COL-Births attended by skilled health staff (% of total)\n", + "Statistical=0.914, p=0.014\n", + "COL-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.892, p=0.004\n", + "COL-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.969, p=0.474\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.860, p=0.001\n", + "COL-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.959, p=0.265\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-CO2 emissions (kt)\n", + "Statistical=0.842, p=0.000\n", + "COL-CO2 emissions (metric tons per capita)\n", + "Statistical=0.799, p=0.000\n", + "COL-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.963, p=0.324\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.957, p=0.225\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.929, p=0.037\n", + "COL-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.883, p=0.002\n", + "COL-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.962, p=0.320\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.871, p=0.001\n", + "COL-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.757, p=0.000\n", + "COL-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.745, p=0.000\n", + "COL-Capture fisheries production (metric tons)\n", + "Statistical=0.771, p=0.000\n", + "COL-Cereal production (metric tons)\n", + "Statistical=0.916, p=0.016\n", + "COL-Cereal yield (kg per hectare)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Changes in inventories (current US$)\n", + "Statistical=0.929, p=0.038\n", + "COL-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.596, p=0.000\n", + "COL-Children out of school (% of primary school age)\n", + "Statistical=0.802, p=0.000\n", + "COL-Coal rents (% of GDP)\n", + "Statistical=0.802, p=0.000\n", + "COL-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.485, p=0.000\n", + "COL-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.537, p=0.000\n", + "COL-Commercial service exports (current US$)\n", + "Statistical=0.811, p=0.000\n", + "COL-Commercial service imports (current US$)\n", + "Statistical=0.946, p=0.107\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Completeness of birth registration (%)\n", + "Statistical=0.809, p=0.000\n", + "COL-Consumer price index (2010 = 100)\n", + "Statistical=0.917, p=0.017\n", + "COL-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.956, p=0.207\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Crop production index (2014-2016 = 100)\n", + "Statistical=0.895, p=0.005\n", + "COL-Current account balance (% of GDP)\n", + "Statistical=0.821, p=0.000\n", + "COL-Current account balance (BoP, current US$)\n", + "Statistical=0.977, p=0.693\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Current health expenditure (% of GDP)\n", + "Statistical=0.911, p=0.012\n", + "COL-Current health expenditure per capita (current US$)\n", + "Statistical=0.911, p=0.012\n", + "COL-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.922, p=0.024\n", + "COL-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.874, p=0.001\n", + "COL-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.888, p=0.003\n", + "COL-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.795, p=0.000\n", + "COL-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "COL-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.961, p=0.294\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.804, p=0.000\n", + "COL-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.775, p=0.000\n", + "COL-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.803, p=0.000\n", + "COL-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.800, p=0.000\n", + "COL-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.800, p=0.000\n", + "COL-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.953, p=0.179\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Electric power consumption (kWh per capita)\n", + "Statistical=0.889, p=0.003\n", + "COL-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.862, p=0.001\n", + "COL-Electricity production from coal sources (% of total)\n", + "Statistical=0.889, p=0.003\n", + "COL-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.882, p=0.002\n", + "COL-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.872, p=0.001\n", + "COL-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.890, p=0.003\n", + "COL-Electricity production from oil sources (% of total)\n", + "Statistical=0.904, p=0.008\n", + "COL-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.702, p=0.000\n", + "COL-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.723, p=0.000\n", + "COL-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.724, p=0.000\n", + "COL-Energy related methane emissions (% of total)\n", + "Statistical=0.657, p=0.000\n", + "COL-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.907, p=0.009\n", + "COL-Export unit value index (2000 = 100)\n", + "Statistical=0.876, p=0.002\n", + "COL-Export value index (2000 = 100)\n", + "Statistical=0.680, p=0.000\n", + "COL-Export volume index (2000 = 100)\n", + "Statistical=0.829, p=0.000\n", + "COL-Exports of goods and services (% of GDP)\n", + "Statistical=0.884, p=0.003\n", + "COL-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.917, p=0.017\n", + "COL-Exports of goods and services (current US$)\n", + "Statistical=0.854, p=0.001\n", + "COL-External balance on goods and services (% of GDP)\n", + "Statistical=0.930, p=0.040\n", + "COL-External balance on goods and services (current US$)\n", + "Statistical=0.981, p=0.841\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.857, p=0.001\n", + "COL-Final consumption expenditure (% of GDP)\n", + "Statistical=0.857, p=0.001\n", + "COL-Final consumption expenditure (current US$)\n", + "Statistical=0.878, p=0.002\n", + "COL-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.879, p=0.002\n", + "COL-Firms offering formal training (% of firms)\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.925, p=0.029\n", + "COL-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.969, p=0.476\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.854, p=0.001\n", + "COL-Fixed broadband subscriptions\n", + "Statistical=0.959, p=0.259\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.893, p=0.004\n", + "COL-Fixed telephone subscriptions\n", + "Statistical=0.848, p=0.000\n", + "COL-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.749, p=0.000\n", + "COL-Food exports (% of merchandise exports)\n", + "Statistical=0.889, p=0.003\n", + "COL-Food imports (% of merchandise imports)\n", + "Statistical=0.956, p=0.213\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Food production index (2014-2016 = 100)\n", + "Statistical=0.892, p=0.004\n", + "COL-Forest area (% of land area)\n", + "Statistical=0.921, p=0.023\n", + "COL-Forest area (sq. km)\n", + "Statistical=0.896, p=0.005\n", + "COL-Forest rents (% of GDP)\n", + "Statistical=0.947, p=0.120\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.649, p=0.000\n", + "COL-Fuel exports (% of merchandise exports)\n", + "Statistical=0.841, p=0.000\n", + "COL-Fuel imports (% of merchandise imports)\n", + "Statistical=0.841, p=0.000\n", + "COL-GDP (current US$)\n", + "Statistical=0.964, p=0.342\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-GDP deflator (base year varies by country)\n", + "Statistical=0.931, p=0.042\n", + "COL-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.956, p=0.214\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-GDP growth (annual %)\n", + "Statistical=0.933, p=0.046\n", + "COL-GDP per capita (current US$)\n", + "Statistical=0.773, p=0.000\n", + "COL-GDP per capita growth (annual %)\n", + "Statistical=0.826, p=0.000\n", + "COL-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.943, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.931, p=0.042\n", + "COL-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.924, p=0.026\n", + "COL-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-GNI (current US$)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-GNI growth (annual %)\n", + "Statistical=0.889, p=0.003\n", + "COL-GNI per capita growth (annual %)\n", + "Statistical=0.927, p=0.033\n", + "COL-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.962, p=0.316\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-General government final consumption expenditure (current US$)\n", + "Statistical=0.850, p=0.000\n", + "COL-Gini index\n", + "Statistical=0.963, p=0.335\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Goods exports (BoP, current US$)\n", + "Statistical=0.879, p=0.002\n", + "COL-Goods imports (BoP, current US$)\n", + "Statistical=0.834, p=0.000\n", + "COL-Grants and other revenue (% of revenue)\n", + "Statistical=0.736, p=0.000\n", + "COL-Gross capital formation (% of GDP)\n", + "Statistical=0.851, p=0.000\n", + "COL-Gross capital formation (current US$)\n", + "Statistical=0.854, p=0.001\n", + "COL-Gross domestic savings (% of GDP)\n", + "Statistical=0.930, p=0.038\n", + "COL-Gross domestic savings (current US$)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.704, p=0.000\n", + "COL-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Gross national expenditure (current US$)\n", + "Statistical=0.511, p=0.000\n", + "COL-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.928, p=0.035\n", + "COL-Gross savings (% of GDP)\n", + "Statistical=0.927, p=0.032\n", + "COL-Gross savings (current US$)\n", + "Statistical=0.957, p=0.234\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.823, p=0.000\n", + "COL-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.857, p=0.001\n", + "COL-High-technology exports (% of manufactured exports)\n", + "Statistical=0.899, p=0.006\n", + "COL-High-technology exports (current US$)\n", + "Statistical=0.921, p=0.022\n", + "COL-Hospital beds (per 1,000 people)\n", + "Statistical=0.905, p=0.008\n", + "COL-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.891, p=0.004\n", + "COL-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.785, p=0.000\n", + "COL-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.785, p=0.000\n", + "COL-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.785, p=0.000\n", + "COL-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.898, p=0.006\n", + "COL-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.945, p=0.105\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.893, p=0.004\n", + "COL-ICT goods exports (% of total goods exports)\n", + "Statistical=0.889, p=0.003\n", + "COL-ICT goods imports (% total goods imports)\n", + "Statistical=0.797, p=0.000\n", + "COL-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.818, p=0.000\n", + "COL-ICT service exports (BoP, current US$)\n", + "Statistical=0.791, p=0.000\n", + "COL-Import unit value index (2000 = 100)\n", + "Statistical=0.825, p=0.000\n", + "COL-Import value index (2000 = 100)\n", + "Statistical=0.825, p=0.000\n", + "COL-Import volume index (2000 = 100)\n", + "Statistical=0.860, p=0.001\n", + "COL-Imports of goods and services (% of GDP)\n", + "Statistical=0.964, p=0.360\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.896, p=0.005\n", + "COL-Imports of goods and services (current US$)\n", + "Statistical=0.798, p=0.000\n", + "COL-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "COL-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Income share held by lowest 10%\n", + "Statistical=0.921, p=0.022\n", + "COL-Income share held by lowest 20%\n", + "Statistical=0.921, p=0.022\n", + "COL-Income share held by second 20%\n", + "Statistical=0.833, p=0.000\n", + "COL-Income share held by third 20%\n", + "Statistical=0.927, p=0.033\n", + "COL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.859, p=0.001\n", + "COL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.785, p=0.000\n", + "COL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.827, p=0.000\n", + "COL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.923, p=0.025\n", + "COL-Individuals using the Internet (% of population)\n", + "Statistical=0.809, p=0.000\n", + "COL-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.817, p=0.000\n", + "COL-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.490, p=0.000\n", + "COL-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.806, p=0.000\n", + "COL-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.804, p=0.000\n", + "COL-Intentional homicides (per 100,000 people)\n", + "Statistical=0.881, p=0.002\n", + "COL-Interest payments (% of revenue)\n", + "Statistical=0.739, p=0.000\n", + "COL-International migrant stock (% of population)\n", + "Statistical=0.746, p=0.000\n", + "COL-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.741, p=0.000\n", + "COL-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.789, p=0.000\n", + "COL-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.882, p=0.002\n", + "COL-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.921, p=0.022\n", + "COL-Land area (sq. km)\n", + "Statistical=0.788, p=0.000\n", + "COL-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.797, p=0.000\n", + "COL-Land under cereal production (hectares)\n", + "Statistical=0.909, p=0.011\n", + "COL-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.833, p=0.000\n", + "COL-Lifetime risk of maternal death (%)\n", + "Statistical=0.864, p=0.001\n", + "COL-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.898, p=0.006\n", + "COL-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.922, p=0.024\n", + "COL-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.926, p=0.030\n", + "COL-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.862, p=0.001\n", + "COL-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.919, p=0.019\n", + "COL-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.820, p=0.000\n", + "COL-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.798, p=0.000\n", + "COL-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.914, p=0.014\n", + "COL-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.926, p=0.030\n", + "COL-Low-birthweight babies (% of births)\n", + "Statistical=0.891, p=0.004\n", + "COL-Lower secondary school starting age (years)\n", + "Statistical=0.883, p=0.002\n", + "COL-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.949, p=0.132\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.853, p=0.000\n", + "COL-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.889, p=0.003\n", + "COL-Marine protected areas (% of territorial waters)\n", + "Statistical=0.943, p=0.093\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.840, p=0.000\n", + "COL-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.925, p=0.028\n", + "COL-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.932, p=0.045\n", + "COL-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.901, p=0.007\n", + "COL-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Merchandise exports (current US$)\n", + "Statistical=0.968, p=0.446\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.954, p=0.189\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.974, p=0.631\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.909, p=0.011\n", + "COL-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.968, p=0.438\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.931, p=0.041\n", + "COL-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.967, p=0.418\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.918, p=0.019\n", + "COL-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.902, p=0.007\n", + "COL-Merchandise imports (current US$)\n", + "Statistical=0.875, p=0.001\n", + "COL-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.799, p=0.000\n", + "COL-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.899, p=0.006\n", + "COL-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.872, p=0.001\n", + "COL-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.913, p=0.013\n", + "COL-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.881, p=0.002\n", + "COL-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.884, p=0.002\n", + "COL-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.877, p=0.002\n", + "COL-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.883, p=0.002\n", + "COL-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.953, p=0.176\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.877, p=0.002\n", + "COL-Merchandise trade (% of GDP)\n", + "Statistical=0.976, p=0.678\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Methane emissions (% change from 1990)\n", + "Statistical=0.918, p=0.019\n", + "COL-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.918, p=0.019\n", + "COL-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.898, p=0.006\n", + "COL-Military expenditure (% of GDP)\n", + "Statistical=0.886, p=0.003\n", + "COL-Military expenditure (% of general government expenditure)\n", + "Statistical=0.874, p=0.001\n", + "COL-Military expenditure (current USD)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Mineral rents (% of GDP)\n", + "Statistical=0.438, p=0.000\n", + "COL-Mobile cellular subscriptions\n", + "Statistical=0.828, p=0.000\n", + "COL-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.880, p=0.002\n", + "COL-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.777, p=0.000\n", + "COL-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.763, p=0.000\n", + "COL-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.798, p=0.000\n", + "COL-Natural gas rents (% of GDP)\n", + "Statistical=0.901, p=0.007\n", + "COL-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Net capital account (BoP, current US$)\n", + "Statistical=0.834, p=0.000\n", + "COL-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.962, p=0.310\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Net financial account (BoP, current US$)\n", + "Statistical=0.962, p=0.313\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Net migration\n", + "Statistical=0.909, p=0.010\n", + "COL-Net primary income (BoP, current US$)\n", + "Statistical=0.909, p=0.010\n", + "COL-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.907, p=0.009\n", + "COL-Net secondary income (BoP, current US$)\n", + "Statistical=0.880, p=0.002\n", + "COL-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.660, p=0.000\n", + "COL-Net trade in goods (BoP, current US$)\n", + "Statistical=0.698, p=0.000\n", + "COL-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.703, p=0.000\n", + "COL-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.786, p=0.000\n", + "COL-New businesses registered (number)\n", + "Statistical=0.726, p=0.000\n", + "COL-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.780, p=0.000\n", + "COL-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.781, p=0.000\n", + "COL-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.754, p=0.000\n", + "COL-Number of deaths ages 10-14 years\n", + "Statistical=0.890, p=0.003\n", + "COL-Number of deaths ages 15-19 years\n", + "Statistical=0.904, p=0.008\n", + "COL-Number of deaths ages 20-24 years\n", + "Statistical=0.970, p=0.486\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Number of deaths ages 5-9 years\n", + "Statistical=0.900, p=0.006\n", + "COL-Number of infant deaths\n", + "Statistical=0.905, p=0.008\n", + "COL-Number of maternal deaths\n", + "Statistical=0.907, p=0.010\n", + "COL-Number of neonatal deaths\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Number of under-five deaths\n", + "Statistical=0.894, p=0.004\n", + "COL-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.943, p=0.093\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.858, p=0.001\n", + "COL-Oil rents (% of GDP)\n", + "Statistical=0.954, p=0.185\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.954, p=0.185\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.926, p=0.030\n", + "COL-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.785, p=0.000\n", + "COL-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.899, p=0.006\n", + "COL-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.900, p=0.006\n", + "COL-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.900, p=0.006\n", + "COL-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.906, p=0.009\n", + "COL-People using at least basic drinking water services (% of population)\n", + "Statistical=0.880, p=0.002\n", + "COL-People using at least basic sanitation services (% of population)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-People using safely managed sanitation services (% of population)\n", + "Statistical=0.949, p=0.131\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Permanent cropland (% of land area)\n", + "Statistical=0.975, p=0.653\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Physicians (per 1,000 people)\n", + "Statistical=0.876, p=0.002\n", + "COL-Population ages 0-14 (% of total population)\n", + "Statistical=0.876, p=0.002\n", + "COL-Population ages 15-64 (% of total population)\n", + "Statistical=0.917, p=0.017\n", + "COL-Population ages 65 and above (% of total population)\n", + "Statistical=0.896, p=0.005\n", + "COL-Population density (people per sq. km of land area)\n", + "Statistical=0.970, p=0.495\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Population growth (annual %)\n", + "Statistical=0.876, p=0.002\n", + "COL-Population in largest city\n", + "Statistical=0.899, p=0.006\n", + "COL-Population in the largest city (% of urban population)\n", + "Statistical=0.946, p=0.110\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.878, p=0.002\n", + "COL-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.880, p=0.002\n", + "COL-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.900, p=0.006\n", + "COL-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.905, p=0.008\n", + "COL-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.908, p=0.010\n", + "COL-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.902, p=0.007\n", + "COL-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.902, p=0.007\n", + "COL-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.905, p=0.008\n", + "COL-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.880, p=0.002\n", + "COL-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.952, p=0.169\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.886, p=0.003\n", + "COL-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.886, p=0.003\n", + "COL-Prevalence of undernourishment (% of population)\n", + "Statistical=0.917, p=0.017\n", + "COL-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.947, p=0.118\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Primary income payments (BoP, current US$)\n", + "Statistical=0.892, p=0.004\n", + "COL-Primary income receipts (BoP, current US$)\n", + "Statistical=0.886, p=0.003\n", + "COL-Primary school starting age (years)\n", + "Statistical=0.900, p=0.006\n", + "COL-Private credit bureau coverage (% of adults)\n", + "Statistical=0.875, p=0.001\n", + "COL-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.902, p=0.007\n", + "COL-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.905, p=0.008\n", + "COL-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.907, p=0.009\n", + "COL-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.960, p=0.277\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Procedures to build a warehouse (number)\n", + "Statistical=0.965, p=0.381\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Procedures to register property (number)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Profit tax (% of commercial profits)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Progression to secondary school (%)\n", + "Statistical=0.908, p=0.010\n", + "COL-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.899, p=0.006\n", + "COL-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.965, p=0.376\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.883, p=0.002\n", + "COL-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.879, p=0.002\n", + "COL-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.923, p=0.024\n", + "COL-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.898, p=0.006\n", + "COL-Public credit registry coverage (% of adults)\n", + "Statistical=0.906, p=0.009\n", + "COL-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.865, p=0.001\n", + "COL-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.866, p=0.001\n", + "COL-Rail lines (total route-km)\n", + "Statistical=0.879, p=0.002\n", + "COL-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.823, p=0.000\n", + "COL-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.834, p=0.000\n", + "COL-Refugee population by country or territory of asylum\n", + "Statistical=0.974, p=0.607\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Refugee population by country or territory of origin\n", + "Statistical=0.969, p=0.470\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.913, p=0.014\n", + "COL-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.913, p=0.014\n", + "COL-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.885, p=0.003\n", + "COL-Research and development expenditure (% of GDP)\n", + "Statistical=0.892, p=0.004\n", + "COL-Researchers in R&D (per million people)\n", + "Statistical=0.883, p=0.002\n", + "COL-Reserves and related items (BoP, current US$)\n", + "Statistical=0.962, p=0.310\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.874, p=0.001\n", + "COL-Rural land area (sq. km)\n", + "Statistical=0.857, p=0.001\n", + "COL-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.926, p=0.031\n", + "COL-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.954, p=0.187\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Rural population\n", + "Statistical=0.899, p=0.006\n", + "COL-Rural population (% of total population)\n", + "Statistical=0.899, p=0.006\n", + "COL-Rural population growth (annual %)\n", + "Statistical=0.889, p=0.003\n", + "COL-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.882, p=0.002\n", + "COL-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.904, p=0.008\n", + "COL-Scientific and technical journal articles\n", + "Statistical=0.910, p=0.011\n", + "COL-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.923, p=0.025\n", + "COL-Secure Internet servers\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Secure Internet servers (per 1 million people)\n", + "Statistical=0.897, p=0.005\n", + "COL-Service exports (BoP, current US$)\n", + "Statistical=0.897, p=0.005\n", + "COL-Service imports (BoP, current US$)\n", + "Statistical=0.904, p=0.008\n", + "COL-Sex ratio at birth (male births per female births)\n", + "Statistical=0.880, p=0.002\n", + "COL-Social contributions (% of revenue)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Start-up procedures to register a business (number)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.886, p=0.003\n", + "COL-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.862, p=0.001\n", + "COL-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.902, p=0.007\n", + "COL-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.902, p=0.007\n", + "COL-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.906, p=0.009\n", + "COL-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.881, p=0.002\n", + "COL-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.728, p=0.000\n", + "COL-Surface area (sq. km)\n", + "Statistical=0.730, p=0.000\n", + "COL-Tax payments (number)\n", + "Statistical=0.951, p=0.151\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Tax revenue (% of GDP)\n", + "Statistical=0.975, p=0.646\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Taxes less subsidies on products (current US$)\n", + "Statistical=0.889, p=0.003\n", + "COL-Taxes on goods and services (% of revenue)\n", + "Statistical=0.889, p=0.003\n", + "COL-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.906, p=0.009\n", + "COL-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.877, p=0.002\n", + "COL-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.858, p=0.001\n", + "COL-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.975, p=0.646\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Time required to build a warehouse (days)\n", + "Statistical=0.889, p=0.003\n", + "COL-Time required to enforce a contract (days)\n", + "Statistical=0.886, p=0.003\n", + "COL-Time required to get electricity (days)\n", + "Statistical=0.954, p=0.187\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Time required to register property (days)\n", + "Statistical=0.907, p=0.009\n", + "COL-Time required to start a business (days)\n", + "Statistical=0.631, p=0.000\n", + "COL-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.404, p=0.000\n", + "COL-Time to obtain an electrical connection (days)\n", + "Statistical=0.603, p=0.000\n", + "COL-Time to prepare and pay taxes (hours)\n", + "Statistical=0.625, p=0.000\n", + "COL-Time to resolve insolvency (years)\n", + "Statistical=0.605, p=0.000\n", + "COL-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.523, p=0.000\n", + "COL-Total fisheries production (metric tons)\n", + "Statistical=0.778, p=0.000\n", + "COL-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.694, p=0.000\n", + "COL-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.649, p=0.000\n", + "COL-Total natural resources rents (% of GDP)\n", + "Statistical=0.854, p=0.001\n", + "COL-Total reserves (includes gold, current US$)\n", + "Statistical=0.876, p=0.002\n", + "COL-Total reserves in months of imports\n", + "Statistical=0.873, p=0.001\n", + "COL-Total reserves minus gold (current US$)\n", + "Statistical=0.869, p=0.001\n", + "COL-Total tax and contribution rate (% of profit)\n", + "Statistical=0.905, p=0.008\n", + "COL-Trade (% of GDP)\n", + "Statistical=0.816, p=0.000\n", + "COL-Trade in services (% of GDP)\n", + "Statistical=0.856, p=0.001\n", + "COL-Transport services (% of commercial service exports)\n", + "Statistical=0.874, p=0.001\n", + "COL-Transport services (% of commercial service imports)\n", + "Statistical=0.887, p=0.003\n", + "COL-Transport services (% of service exports, BoP)\n", + "Statistical=0.872, p=0.001\n", + "COL-Transport services (% of service imports, BoP)\n", + "Statistical=0.920, p=0.021\n", + "COL-Travel services (% of commercial service exports)\n", + "Statistical=0.873, p=0.001\n", + "COL-Travel services (% of commercial service imports)\n", + "Statistical=0.979, p=0.766\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Travel services (% of service exports, BoP)\n", + "Statistical=0.897, p=0.005\n", + "COL-Travel services (% of service imports, BoP)\n", + "Statistical=0.897, p=0.005\n", + "COL-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.900, p=0.006\n", + "COL-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.890, p=0.004\n", + "COL-UHC service coverage index\n", + "Statistical=0.866, p=0.001\n", + "COL-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.830, p=0.000\n", + "COL-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.950, p=0.145\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.958, p=0.243\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Urban land area (sq. km)\n", + "Statistical=0.976, p=0.688\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.807, p=0.000\n", + "COL-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.912, p=0.012\n", + "COL-Urban population\n", + "Statistical=0.966, p=0.404\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Urban population (% of total population)\n", + "Statistical=0.964, p=0.351\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Urban population growth (annual %)\n", + "Statistical=0.675, p=0.000\n", + "COL-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.675, p=0.000\n", + "COL-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.692, p=0.000\n", + "COL-GDP (current US$)+1\n", + "Statistical=0.692, p=0.000\n", + "COL-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-GDP (current US$)+2\n", + "Statistical=0.977, p=0.702\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-GDP (current US$)+3\n", + "Statistical=0.862, p=0.001\n", + "COL-GDP (current US$)+5\n", + "Statistical=0.971, p=0.520\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-GDP (current US$)+8\n", + "Statistical=0.982, p=0.845\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-GDP (current US$)+13\n", + "Statistical=0.872, p=0.001\n", + "COL-GDP (current US$)+21\n", + "Statistical=0.872, p=0.001\n", + "COL-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.882, p=0.002\n", + "COL-Deposit interest rate (%)\n", + "Statistical=0.885, p=0.003\n", + "COL-Other taxes (% of revenue)\n", + "Statistical=0.950, p=0.140\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.829, p=0.000\n", + "COL-Taxes on international trade (% of revenue)\n", + "Statistical=0.833, p=0.000\n", + "COL-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.796, p=0.000\n", + "COL-Broad money (% of GDP)\n", + "Statistical=0.850, p=0.000\n", + "COL-Broad money growth (annual %)\n", + "Statistical=0.980, p=0.809\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Broad money to total reserves ratio\n", + "Statistical=0.844, p=0.000\n", + "COL-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.980, p=0.800\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.894, p=0.004\n", + "COL-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.917, p=0.017\n", + "COL-External health expenditure (% of current health expenditure)\n", + "Statistical=0.857, p=0.001\n", + "COL-External health expenditure per capita (current US$)\n", + "Statistical=0.670, p=0.000\n", + "COL-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.812, p=0.000\n", + "COL-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.806, p=0.000\n", + "COL-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.954, p=0.193\n", + "Data is NORMAL ( H0 not denied )\n", + "COL-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.800, p=0.000\n", + "COL-People practicing open defecation (% of population)\n", + "Statistical=0.910, p=0.011\n", + "COL-Taxes on exports (% of tax revenue)\n", + "Statistical=0.794, p=0.000\n", + "COL-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.881, p=0.002\n", + "COL-Country\n", + "Statistical=0.925, p=0.028\n", + "COL-Year\n", + "Statistical=0.843, p=0.000\n", + "COL-Continent\n", + "Statistical=0.807, p=0.000\n", + "CHL-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.881, p=0.002\n", + "CHL-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.872, p=0.001\n", + "CHL-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.929, p=0.037\n", + "CHL-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.621, p=0.000\n", + "CHL-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.620, p=0.000\n", + "CHL-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.620, p=0.000\n", + "CHL-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.621, p=0.000\n", + "CHL-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.620, p=0.000\n", + "CHL-Age dependency ratio (% of working-age population)\n", + "Statistical=0.607, p=0.000\n", + "CHL-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.621, p=0.000\n", + "CHL-Agricultural land (% of land area)\n", + "Statistical=0.621, p=0.000\n", + "CHL-Agricultural land (sq. km)\n", + "Statistical=0.621, p=0.000\n", + "CHL-Agricultural methane emissions (% of total)\n", + "Statistical=0.765, p=0.000\n", + "CHL-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.755, p=0.000\n", + "CHL-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.785, p=0.000\n", + "CHL-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.948, p=0.123\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.908, p=0.010\n", + "CHL-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.849, p=0.000\n", + "CHL-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.957, p=0.224\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Aquaculture production (metric tons)\n", + "Statistical=0.908, p=0.010\n", + "CHL-Arable land (% of land area)\n", + "Statistical=0.855, p=0.001\n", + "CHL-Arable land (hectares per person)\n", + "Statistical=0.960, p=0.271\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Arable land (hectares)\n", + "Statistical=0.905, p=0.008\n", + "CHL-Armed forces personnel (% of total labor force)\n", + "Statistical=0.961, p=0.297\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.904, p=0.008\n", + "CHL-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.945, p=0.105\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.913, p=0.014\n", + "CHL-Average precipitation in depth (mm per year)\n", + "Statistical=0.872, p=0.001\n", + "CHL-Average time to clear exports through customs (days)\n", + "Statistical=0.875, p=0.002\n", + "CHL-Births attended by skilled health staff (% of total)\n", + "Statistical=0.922, p=0.024\n", + "CHL-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.845, p=0.000\n", + "CHL-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.870, p=0.001\n", + "CHL-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.959, p=0.262\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-CO2 emissions (kt)\n", + "Statistical=0.895, p=0.005\n", + "CHL-CO2 emissions (metric tons per capita)\n", + "Statistical=0.835, p=0.000\n", + "CHL-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.869, p=0.001\n", + "CHL-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.858, p=0.001\n", + "CHL-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.878, p=0.002\n", + "CHL-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.849, p=0.000\n", + "CHL-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.921, p=0.022\n", + "CHL-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.788, p=0.000\n", + "CHL-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.783, p=0.000\n", + "CHL-Capture fisheries production (metric tons)\n", + "Statistical=0.789, p=0.000\n", + "CHL-Cereal production (metric tons)\n", + "Statistical=0.823, p=0.000\n", + "CHL-Cereal yield (kg per hectare)\n", + "Statistical=0.958, p=0.239\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Changes in inventories (current US$)\n", + "Statistical=0.893, p=0.004\n", + "CHL-Chemicals (% of value added in manufacturing)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Children out of school (% of primary school age)\n", + "Statistical=0.862, p=0.001\n", + "CHL-Coal rents (% of GDP)\n", + "Statistical=0.862, p=0.001\n", + "CHL-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.564, p=0.000\n", + "CHL-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.801, p=0.000\n", + "CHL-Commercial service exports (current US$)\n", + "Statistical=0.818, p=0.000\n", + "CHL-Commercial service imports (current US$)\n", + "Statistical=0.869, p=0.001\n", + "CHL-Completeness of birth registration (%)\n", + "Statistical=0.897, p=0.005\n", + "CHL-Consumer price index (2010 = 100)\n", + "Statistical=0.955, p=0.201\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.935, p=0.054\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Crop production index (2014-2016 = 100)\n", + "Statistical=0.832, p=0.000\n", + "CHL-Current account balance (% of GDP)\n", + "Statistical=0.782, p=0.000\n", + "CHL-Current account balance (BoP, current US$)\n", + "Statistical=0.976, p=0.670\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Current health expenditure (% of GDP)\n", + "Statistical=0.893, p=0.004\n", + "CHL-Current health expenditure per capita (current US$)\n", + "Statistical=0.893, p=0.004\n", + "CHL-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.886, p=0.003\n", + "CHL-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.885, p=0.003\n", + "CHL-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.900, p=0.006\n", + "CHL-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.900, p=0.006\n", + "CHL-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.898, p=0.005\n", + "CHL-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.971, p=0.519\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.966, p=0.399\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.661, p=0.000\n", + "CHL-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.799, p=0.000\n", + "CHL-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.776, p=0.000\n", + "CHL-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.776, p=0.000\n", + "CHL-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.928, p=0.035\n", + "CHL-Electric power consumption (kWh per capita)\n", + "Statistical=0.828, p=0.000\n", + "CHL-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.845, p=0.000\n", + "CHL-Electricity production from coal sources (% of total)\n", + "Statistical=0.828, p=0.000\n", + "CHL-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.879, p=0.002\n", + "CHL-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.922, p=0.024\n", + "CHL-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.914, p=0.014\n", + "CHL-Electricity production from oil sources (% of total)\n", + "Statistical=0.891, p=0.004\n", + "CHL-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.805, p=0.000\n", + "CHL-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.678, p=0.000\n", + "CHL-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.756, p=0.000\n", + "CHL-Energy related methane emissions (% of total)\n", + "Statistical=0.705, p=0.000\n", + "CHL-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.909, p=0.011\n", + "CHL-Export unit value index (2000 = 100)\n", + "Statistical=0.742, p=0.000\n", + "CHL-Export value index (2000 = 100)\n", + "Statistical=0.585, p=0.000\n", + "CHL-Export volume index (2000 = 100)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Exports of goods and services (% of GDP)\n", + "Statistical=0.602, p=0.000\n", + "CHL-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.853, p=0.000\n", + "CHL-Exports of goods and services (current US$)\n", + "Statistical=0.901, p=0.007\n", + "CHL-External balance on goods and services (% of GDP)\n", + "Statistical=0.958, p=0.248\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-External balance on goods and services (current US$)\n", + "Statistical=0.901, p=0.006\n", + "CHL-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.615, p=0.000\n", + "CHL-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Final consumption expenditure (% of GDP)\n", + "Statistical=0.945, p=0.104\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Final consumption expenditure (current US$)\n", + "Statistical=0.903, p=0.007\n", + "CHL-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.916, p=0.016\n", + "CHL-Firms offering formal training (% of firms)\n", + "Statistical=0.913, p=0.014\n", + "CHL-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.916, p=0.017\n", + "CHL-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.799, p=0.000\n", + "CHL-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.920, p=0.021\n", + "CHL-Fixed broadband subscriptions\n", + "Statistical=0.932, p=0.045\n", + "CHL-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.863, p=0.001\n", + "CHL-Fixed telephone subscriptions\n", + "Statistical=0.941, p=0.081\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.874, p=0.001\n", + "CHL-Food exports (% of merchandise exports)\n", + "Statistical=0.835, p=0.000\n", + "CHL-Food imports (% of merchandise imports)\n", + "Statistical=0.924, p=0.027\n", + "CHL-Food production index (2014-2016 = 100)\n", + "Statistical=0.871, p=0.001\n", + "CHL-Forest area (% of land area)\n", + "Statistical=0.922, p=0.023\n", + "CHL-Forest area (sq. km)\n", + "Statistical=0.899, p=0.006\n", + "CHL-Forest rents (% of GDP)\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.830, p=0.000\n", + "CHL-Fuel exports (% of merchandise exports)\n", + "Statistical=0.816, p=0.000\n", + "CHL-Fuel imports (% of merchandise imports)\n", + "Statistical=0.825, p=0.000\n", + "CHL-GDP (current US$)\n", + "Statistical=0.950, p=0.145\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-GDP deflator (base year varies by country)\n", + "Statistical=0.913, p=0.013\n", + "CHL-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.894, p=0.004\n", + "CHL-GDP growth (annual %)\n", + "Statistical=0.930, p=0.039\n", + "CHL-GDP per capita (current US$)\n", + "Statistical=0.830, p=0.000\n", + "CHL-GDP per capita growth (annual %)\n", + "Statistical=0.886, p=0.003\n", + "CHL-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.645, p=0.000\n", + "CHL-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.756, p=0.000\n", + "CHL-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.721, p=0.000\n", + "CHL-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.725, p=0.000\n", + "CHL-GNI (current US$)\n", + "Statistical=0.808, p=0.000\n", + "CHL-GNI growth (annual %)\n", + "Statistical=0.679, p=0.000\n", + "CHL-GNI per capita growth (annual %)\n", + "Statistical=0.749, p=0.000\n", + "CHL-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.979, p=0.781\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-General government final consumption expenditure (current US$)\n", + "Statistical=0.952, p=0.164\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Gini index\n", + "Statistical=0.920, p=0.021\n", + "CHL-Goods exports (BoP, current US$)\n", + "Statistical=0.867, p=0.001\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CHL-Goods imports (BoP, current US$)\n", + "Statistical=0.898, p=0.006\n", + "CHL-Grants and other revenue (% of revenue)\n", + "Statistical=0.868, p=0.001\n", + "CHL-Gross capital formation (% of GDP)\n", + "Statistical=0.931, p=0.043\n", + "CHL-Gross capital formation (current US$)\n", + "Statistical=0.893, p=0.004\n", + "CHL-Gross domestic savings (% of GDP)\n", + "Statistical=0.888, p=0.003\n", + "CHL-Gross domestic savings (current US$)\n", + "Statistical=0.909, p=0.011\n", + "CHL-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.708, p=0.000\n", + "CHL-Gross fixed capital formation (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Gross national expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.901, p=0.007\n", + "CHL-Gross savings (% of GDP)\n", + "Statistical=0.907, p=0.009\n", + "CHL-Gross savings (current US$)\n", + "Statistical=0.979, p=0.761\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.818, p=0.000\n", + "CHL-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.884, p=0.002\n", + "CHL-High-technology exports (% of manufactured exports)\n", + "Statistical=0.812, p=0.000\n", + "CHL-High-technology exports (current US$)\n", + "Statistical=0.923, p=0.025\n", + "CHL-Hospital beds (per 1,000 people)\n", + "Statistical=0.882, p=0.002\n", + "CHL-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.927, p=0.033\n", + "CHL-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.814, p=0.000\n", + "CHL-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.814, p=0.000\n", + "CHL-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.814, p=0.000\n", + "CHL-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.951, p=0.159\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.968, p=0.438\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.914, p=0.014\n", + "CHL-ICT goods exports (% of total goods exports)\n", + "Statistical=0.924, p=0.026\n", + "CHL-ICT goods imports (% total goods imports)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.808, p=0.000\n", + "CHL-ICT service exports (BoP, current US$)\n", + "Statistical=0.809, p=0.000\n", + "CHL-Import unit value index (2000 = 100)\n", + "Statistical=0.801, p=0.000\n", + "CHL-Import value index (2000 = 100)\n", + "Statistical=0.770, p=0.000\n", + "CHL-Import volume index (2000 = 100)\n", + "Statistical=0.816, p=0.000\n", + "CHL-Imports of goods and services (% of GDP)\n", + "Statistical=0.977, p=0.713\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.837, p=0.000\n", + "CHL-Imports of goods and services (current US$)\n", + "Statistical=0.850, p=0.000\n", + "CHL-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "CHL-Income share held by highest 10%\n", + "Statistical=0.540, p=0.000\n", + "CHL-Income share held by highest 20%\n", + "Statistical=0.764, p=0.000\n", + "CHL-Income share held by lowest 10%\n", + "Statistical=0.798, p=0.000\n", + "CHL-Income share held by lowest 20%\n", + "Statistical=0.963, p=0.334\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Income share held by second 20%\n", + "Statistical=0.771, p=0.000\n", + "CHL-Income share held by third 20%\n", + "Statistical=0.817, p=0.000\n", + "CHL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.843, p=0.000\n", + "CHL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.804, p=0.000\n", + "CHL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.801, p=0.000\n", + "CHL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.817, p=0.000\n", + "CHL-Individuals using the Internet (% of population)\n", + "Statistical=0.817, p=0.000\n", + "CHL-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.799, p=0.000\n", + "CHL-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.487, p=0.000\n", + "CHL-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.881, p=0.002\n", + "CHL-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.738, p=0.000\n", + "CHL-Intentional homicides (per 100,000 people)\n", + "Statistical=0.823, p=0.000\n", + "CHL-Interest payments (% of revenue)\n", + "Statistical=0.788, p=0.000\n", + "CHL-International migrant stock (% of population)\n", + "Statistical=0.910, p=0.011\n", + "CHL-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.855, p=0.001\n", + "CHL-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.759, p=0.000\n", + "CHL-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.771, p=0.000\n", + "CHL-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.766, p=0.000\n", + "CHL-Land area (sq. km)\n", + "Statistical=0.674, p=0.000\n", + "CHL-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.734, p=0.000\n", + "CHL-Land under cereal production (hectares)\n", + "Statistical=0.704, p=0.000\n", + "CHL-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.879, p=0.002\n", + "CHL-Lifetime risk of maternal death (%)\n", + "Statistical=0.918, p=0.018\n", + "CHL-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.900, p=0.006\n", + "CHL-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.900, p=0.006\n", + "CHL-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.916, p=0.017\n", + "CHL-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.888, p=0.003\n", + "CHL-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.876, p=0.002\n", + "CHL-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.889, p=0.003\n", + "CHL-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.899, p=0.006\n", + "CHL-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.887, p=0.003\n", + "CHL-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.782, p=0.000\n", + "CHL-Low-birthweight babies (% of births)\n", + "Statistical=0.813, p=0.000\n", + "CHL-Lower secondary school starting age (years)\n", + "Statistical=0.918, p=0.019\n", + "CHL-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.913, p=0.013\n", + "CHL-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.921, p=0.022\n", + "CHL-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.845, p=0.000\n", + "CHL-Marine protected areas (% of territorial waters)\n", + "Statistical=0.874, p=0.001\n", + "CHL-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.976, p=0.670\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.916, p=0.017\n", + "CHL-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.893, p=0.004\n", + "CHL-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.902, p=0.007\n", + "CHL-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.874, p=0.001\n", + "CHL-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.881, p=0.002\n", + "CHL-Merchandise exports (current US$)\n", + "Statistical=0.860, p=0.001\n", + "CHL-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.857, p=0.001\n", + "CHL-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.906, p=0.009\n", + "CHL-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.912, p=0.012\n", + "CHL-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.940, p=0.074\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.888, p=0.003\n", + "CHL-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.883, p=0.002\n", + "CHL-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.879, p=0.002\n", + "CHL-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.862, p=0.001\n", + "CHL-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.945, p=0.107\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.779, p=0.000\n", + "CHL-Merchandise imports (current US$)\n", + "Statistical=0.857, p=0.001\n", + "CHL-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.884, p=0.002\n", + "CHL-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.919, p=0.019\n", + "CHL-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.929, p=0.037\n", + "CHL-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.872, p=0.001\n", + "CHL-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.872, p=0.001\n", + "CHL-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.832, p=0.000\n", + "CHL-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.873, p=0.001\n", + "CHL-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.845, p=0.000\n", + "CHL-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.920, p=0.021\n", + "CHL-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.843, p=0.000\n", + "CHL-Merchandise trade (% of GDP)\n", + "Statistical=0.959, p=0.264\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Methane emissions (% change from 1990)\n", + "Statistical=0.859, p=0.001\n", + "CHL-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.859, p=0.001\n", + "CHL-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.901, p=0.007\n", + "CHL-Military expenditure (% of GDP)\n", + "Statistical=0.845, p=0.000\n", + "CHL-Military expenditure (% of general government expenditure)\n", + "Statistical=0.835, p=0.000\n", + "CHL-Military expenditure (current USD)\n", + "Statistical=0.971, p=0.541\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Mineral rents (% of GDP)\n", + "Statistical=0.584, p=0.000\n", + "CHL-Mobile cellular subscriptions\n", + "Statistical=0.877, p=0.002\n", + "CHL-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.859, p=0.001\n", + "CHL-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Natural gas rents (% of GDP)\n", + "Statistical=0.912, p=0.013\n", + "CHL-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.896, p=0.005\n", + "CHL-Net capital account (BoP, current US$)\n", + "Statistical=0.953, p=0.179\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Net financial account (BoP, current US$)\n", + "Statistical=0.957, p=0.226\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Net migration\n", + "Statistical=0.924, p=0.027\n", + "CHL-Net primary income (BoP, current US$)\n", + "Statistical=0.924, p=0.027\n", + "CHL-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.886, p=0.003\n", + "CHL-Net secondary income (BoP, current US$)\n", + "Statistical=0.870, p=0.001\n", + "CHL-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.678, p=0.000\n", + "CHL-Net trade in goods (BoP, current US$)\n", + "Statistical=0.678, p=0.000\n", + "CHL-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.678, p=0.000\n", + "CHL-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.678, p=0.000\n", + "CHL-New businesses registered (number)\n", + "Statistical=0.678, p=0.000\n", + "CHL-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.842, p=0.000\n", + "CHL-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.842, p=0.000\n", + "CHL-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.775, p=0.000\n", + "CHL-Number of deaths ages 10-14 years\n", + "Statistical=0.867, p=0.001\n", + "CHL-Number of deaths ages 15-19 years\n", + "Statistical=0.909, p=0.010\n", + "CHL-Number of deaths ages 20-24 years\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Number of deaths ages 5-9 years\n", + "Statistical=0.923, p=0.025\n", + "CHL-Number of infant deaths\n", + "Statistical=0.928, p=0.035\n", + "CHL-Number of maternal deaths\n", + "Statistical=0.969, p=0.462\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Number of neonatal deaths\n", + "Statistical=0.950, p=0.145\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Number of under-five deaths\n", + "Statistical=0.890, p=0.004\n", + "CHL-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.930, p=0.038\n", + "CHL-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.830, p=0.000\n", + "CHL-Oil rents (% of GDP)\n", + "Statistical=0.917, p=0.017\n", + "CHL-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.917, p=0.017\n", + "CHL-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.950, p=0.141\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.890, p=0.003\n", + "CHL-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.899, p=0.006\n", + "CHL-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.961, p=0.299\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.930, p=0.038\n", + "CHL-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.930, p=0.038\n", + "CHL-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.900, p=0.006\n", + "CHL-People using at least basic drinking water services (% of population)\n", + "Statistical=0.864, p=0.001\n", + "CHL-People using at least basic sanitation services (% of population)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-People using safely managed sanitation services (% of population)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Permanent cropland (% of land area)\n", + "Statistical=0.991, p=0.993\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Physicians (per 1,000 people)\n", + "Statistical=0.924, p=0.026\n", + "CHL-Population ages 0-14 (% of total population)\n", + "Statistical=0.924, p=0.026\n", + "CHL-Population ages 15-64 (% of total population)\n", + "Statistical=0.909, p=0.010\n", + "CHL-Population ages 65 and above (% of total population)\n", + "Statistical=0.875, p=0.001\n", + "CHL-Population density (people per sq. km of land area)\n", + "Statistical=0.987, p=0.952\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Population growth (annual %)\n", + "Statistical=0.924, p=0.026\n", + "CHL-Population in largest city\n", + "Statistical=0.903, p=0.008\n", + "CHL-Population in the largest city (% of urban population)\n", + "Statistical=0.922, p=0.023\n", + "CHL-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.863, p=0.001\n", + "CHL-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.919, p=0.020\n", + "CHL-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.930, p=0.038\n", + "CHL-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.902, p=0.007\n", + "CHL-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.900, p=0.006\n", + "CHL-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.932, p=0.046\n", + "CHL-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.932, p=0.046\n", + "CHL-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.894, p=0.004\n", + "CHL-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.864, p=0.001\n", + "CHL-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.979, p=0.783\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Prevalence of undernourishment (% of population)\n", + "Statistical=0.904, p=0.008\n", + "CHL-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.985, p=0.916\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Primary income payments (BoP, current US$)\n", + "Statistical=0.870, p=0.001\n", + "CHL-Primary income receipts (BoP, current US$)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Primary school starting age (years)\n", + "Statistical=0.902, p=0.007\n", + "CHL-Private credit bureau coverage (% of adults)\n", + "Statistical=0.859, p=0.001\n", + "CHL-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.932, p=0.046\n", + "CHL-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.899, p=0.006\n", + "CHL-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.894, p=0.004\n", + "CHL-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.927, p=0.031\n", + "CHL-Procedures to build a warehouse (number)\n", + "Statistical=0.975, p=0.660\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Procedures to register property (number)\n", + "Statistical=0.912, p=0.013\n", + "CHL-Profit tax (% of commercial profits)\n", + "Statistical=0.912, p=0.013\n", + "CHL-Progression to secondary school (%)\n", + "Statistical=0.876, p=0.002\n", + "CHL-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.869, p=0.001\n", + "CHL-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.864, p=0.001\n", + "CHL-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.832, p=0.000\n", + "CHL-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.875, p=0.001\n", + "CHL-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.933, p=0.049\n", + "CHL-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.926, p=0.030\n", + "CHL-Public credit registry coverage (% of adults)\n", + "Statistical=0.921, p=0.022\n", + "CHL-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.876, p=0.002\n", + "CHL-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.824, p=0.000\n", + "CHL-Rail lines (total route-km)\n", + "Statistical=0.927, p=0.032\n", + "CHL-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.924, p=0.027\n", + "CHL-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.817, p=0.000\n", + "CHL-Refugee population by country or territory of asylum\n", + "Statistical=0.928, p=0.034\n", + "CHL-Refugee population by country or territory of origin\n", + "Statistical=0.971, p=0.534\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.883, p=0.002\n", + "CHL-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.883, p=0.002\n", + "CHL-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.884, p=0.002\n", + "CHL-Research and development expenditure (% of GDP)\n", + "Statistical=0.887, p=0.003\n", + "CHL-Researchers in R&D (per million people)\n", + "Statistical=0.904, p=0.008\n", + "CHL-Reserves and related items (BoP, current US$)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.907, p=0.009\n", + "CHL-Rural land area (sq. km)\n", + "Statistical=0.839, p=0.000\n", + "CHL-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.926, p=0.029\n", + "CHL-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.969, p=0.471\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Rural population\n", + "Statistical=0.885, p=0.003\n", + "CHL-Rural population (% of total population)\n", + "Statistical=0.885, p=0.003\n", + "CHL-Rural population growth (annual %)\n", + "Statistical=0.888, p=0.003\n", + "CHL-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.882, p=0.002\n", + "CHL-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.918, p=0.018\n", + "CHL-Scientific and technical journal articles\n", + "Statistical=0.927, p=0.032\n", + "CHL-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.925, p=0.028\n", + "CHL-Secure Internet servers\n", + "Statistical=0.968, p=0.453\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Secure Internet servers (per 1 million people)\n", + "Statistical=0.911, p=0.012\n", + "CHL-Service exports (BoP, current US$)\n", + "Statistical=0.912, p=0.012\n", + "CHL-Service imports (BoP, current US$)\n", + "Statistical=0.889, p=0.003\n", + "CHL-Sex ratio at birth (male births per female births)\n", + "Statistical=0.869, p=0.001\n", + "CHL-Social contributions (% of revenue)\n", + "Statistical=0.960, p=0.267\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.972, p=0.548\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Start-up procedures to register a business (number)\n", + "Statistical=0.964, p=0.357\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.913, p=0.013\n", + "CHL-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.844, p=0.000\n", + "CHL-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.902, p=0.007\n", + "CHL-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.902, p=0.007\n", + "CHL-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.901, p=0.007\n", + "CHL-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.863, p=0.001\n", + "CHL-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.803, p=0.000\n", + "CHL-Surface area (sq. km)\n", + "Statistical=0.805, p=0.000\n", + "CHL-Tax payments (number)\n", + "Statistical=0.886, p=0.003\n", + "CHL-Tax revenue (% of GDP)\n", + "Statistical=0.969, p=0.466\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Taxes less subsidies on products (current US$)\n", + "Statistical=0.922, p=0.024\n", + "CHL-Taxes on goods and services (% of revenue)\n", + "Statistical=0.922, p=0.024\n", + "CHL-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.891, p=0.004\n", + "CHL-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.874, p=0.001\n", + "CHL-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.923, p=0.024\n", + "CHL-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.970, p=0.501\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Time required to build a warehouse (days)\n", + "Statistical=0.922, p=0.024\n", + "CHL-Time required to enforce a contract (days)\n", + "Statistical=0.888, p=0.003\n", + "CHL-Time required to get electricity (days)\n", + "Statistical=0.922, p=0.023\n", + "CHL-Time required to register property (days)\n", + "Statistical=0.891, p=0.004\n", + "CHL-Time required to start a business (days)\n", + "Statistical=0.679, p=0.000\n", + "CHL-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.675, p=0.000\n", + "CHL-Time to obtain an electrical connection (days)\n", + "Statistical=0.653, p=0.000\n", + "CHL-Time to prepare and pay taxes (hours)\n", + "Statistical=0.669, p=0.000\n", + "CHL-Time to resolve insolvency (years)\n", + "Statistical=0.676, p=0.000\n", + "CHL-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.682, p=0.000\n", + "CHL-Total fisheries production (metric tons)\n", + "Statistical=0.303, p=0.000\n", + "CHL-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.669, p=0.000\n", + "CHL-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.681, p=0.000\n", + "CHL-Total natural resources rents (% of GDP)\n", + "Statistical=0.868, p=0.001\n", + "CHL-Total reserves (includes gold, current US$)\n", + "Statistical=0.885, p=0.003\n", + "CHL-Total reserves in months of imports\n", + "Statistical=0.964, p=0.342\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Total reserves minus gold (current US$)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Total tax and contribution rate (% of profit)\n", + "Statistical=0.918, p=0.018\n", + "CHL-Trade (% of GDP)\n", + "Statistical=0.723, p=0.000\n", + "CHL-Trade in services (% of GDP)\n", + "Statistical=0.955, p=0.202\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Transport services (% of commercial service exports)\n", + "Statistical=0.915, p=0.016\n", + "CHL-Transport services (% of commercial service imports)\n", + "Statistical=0.874, p=0.001\n", + "CHL-Transport services (% of service exports, BoP)\n", + "Statistical=0.871, p=0.001\n", + "CHL-Transport services (% of service imports, BoP)\n", + "Statistical=0.962, p=0.320\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Travel services (% of commercial service exports)\n", + "Statistical=0.875, p=0.002\n", + "CHL-Travel services (% of commercial service imports)\n", + "Statistical=0.974, p=0.604\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Travel services (% of service exports, BoP)\n", + "Statistical=0.890, p=0.003\n", + "CHL-Travel services (% of service imports, BoP)\n", + "Statistical=0.890, p=0.003\n", + "CHL-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.890, p=0.004\n", + "CHL-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.877, p=0.002\n", + "CHL-UHC service coverage index\n", + "Statistical=0.863, p=0.001\n", + "CHL-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.801, p=0.000\n", + "CHL-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.875, p=0.002\n", + "CHL-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.875, p=0.001\n", + "CHL-Urban land area (sq. km)\n", + "Statistical=0.867, p=0.001\n", + "CHL-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.845, p=0.000\n", + "CHL-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.846, p=0.000\n", + "CHL-Urban population\n", + "Statistical=0.867, p=0.001\n", + "CHL-Urban population (% of total population)\n", + "Statistical=0.864, p=0.001\n", + "CHL-Urban population growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.800, p=0.000\n", + "CHL-GDP (current US$)+1\n", + "Statistical=0.800, p=0.000\n", + "CHL-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-GDP (current US$)+2\n", + "Statistical=0.983, p=0.873\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-GDP (current US$)+3\n", + "Statistical=0.952, p=0.166\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-GDP (current US$)+5\n", + "Statistical=0.955, p=0.202\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-GDP (current US$)+8\n", + "Statistical=0.970, p=0.507\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-GDP (current US$)+13\n", + "Statistical=0.922, p=0.024\n", + "CHL-GDP (current US$)+21\n", + "Statistical=0.922, p=0.024\n", + "CHL-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.912, p=0.013\n", + "CHL-Deposit interest rate (%)\n", + "Statistical=0.846, p=0.000\n", + "CHL-Other taxes (% of revenue)\n", + "Statistical=0.851, p=0.000\n", + "CHL-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.908, p=0.010\n", + "CHL-Taxes on international trade (% of revenue)\n", + "Statistical=0.908, p=0.010\n", + "CHL-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.844, p=0.000\n", + "CHL-Broad money (% of GDP)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Broad money growth (annual %)\n", + "Statistical=0.944, p=0.095\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Broad money to total reserves ratio\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.943, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.834, p=0.000\n", + "CHL-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.930, p=0.038\n", + "CHL-External health expenditure (% of current health expenditure)\n", + "Statistical=0.857, p=0.001\n", + "CHL-External health expenditure per capita (current US$)\n", + "Statistical=0.678, p=0.000\n", + "CHL-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.874, p=0.001\n", + "CHL-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.875, p=0.002\n", + "CHL-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.916, p=0.016\n", + "CHL-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.807, p=0.000\n", + "CHL-People practicing open defecation (% of population)\n", + "Statistical=0.829, p=0.000\n", + "CHL-Taxes on exports (% of tax revenue)\n", + "Statistical=0.809, p=0.000\n", + "CHL-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.656, p=0.000\n", + "CHL-Country\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "CHL-Year\n", + "Statistical=0.830, p=0.000\n", + "CHL-Continent\n", + "Statistical=0.857, p=0.001\n", + "PAN-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Adjusted net national income (current US$)\n", + "Statistical=0.807, p=0.000\n", + "PAN-Adjusted net national income per capita (current US$)\n", + "Statistical=0.798, p=0.000\n", + "PAN-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.797, p=0.000\n", + "PAN-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.969, p=0.474\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.950, p=0.146\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.955, p=0.201\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.614, p=0.000\n", + "PAN-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.612, p=0.000\n", + "PAN-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.615, p=0.000\n", + "PAN-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.610, p=0.000\n", + "PAN-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.609, p=0.000\n", + "PAN-Age dependency ratio (% of working-age population)\n", + "Statistical=0.598, p=0.000\n", + "PAN-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.615, p=0.000\n", + "PAN-Agricultural land (% of land area)\n", + "Statistical=0.611, p=0.000\n", + "PAN-Agricultural land (sq. km)\n", + "Statistical=0.620, p=0.000\n", + "PAN-Agricultural methane emissions (% of total)\n", + "Statistical=0.888, p=0.003\n", + "PAN-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.895, p=0.005\n", + "PAN-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.885, p=0.003\n", + "PAN-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.982, p=0.868\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.861, p=0.001\n", + "PAN-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.821, p=0.000\n", + "PAN-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.979, p=0.776\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Aquaculture production (metric tons)\n", + "Statistical=0.854, p=0.001\n", + "PAN-Arable land (% of land area)\n", + "Statistical=0.817, p=0.000\n", + "PAN-Arable land (hectares per person)\n", + "Statistical=0.957, p=0.223\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Arable land (hectares)\n", + "Statistical=0.792, p=0.000\n", + "PAN-Armed forces personnel (% of total labor force)\n", + "Statistical=0.956, p=0.217\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.792, p=0.000\n", + "PAN-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.981, p=0.824\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.886, p=0.003\n", + "PAN-Average precipitation in depth (mm per year)\n", + "Statistical=0.951, p=0.156\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Average time to clear exports through customs (days)\n", + "Statistical=0.823, p=0.000\n", + "PAN-Births attended by skilled health staff (% of total)\n", + "Statistical=0.783, p=0.000\n", + "PAN-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.819, p=0.000\n", + "PAN-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-CO2 emissions (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-CO2 emissions (metric tons per capita)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.793, p=0.000\n", + "PAN-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.953, p=0.179\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.815, p=0.000\n", + "PAN-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.967, p=0.433\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.894, p=0.004\n", + "PAN-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.905, p=0.008\n", + "PAN-Capture fisheries production (metric tons)\n", + "Statistical=0.882, p=0.002\n", + "PAN-Cereal production (metric tons)\n", + "Statistical=0.900, p=0.006\n", + "PAN-Cereal yield (kg per hectare)\n", + "Statistical=0.915, p=0.015\n", + "PAN-Changes in inventories (current US$)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.694, p=0.000\n", + "PAN-Children out of school (% of primary school age)\n", + "Statistical=0.788, p=0.000\n", + "PAN-Coal rents (% of GDP)\n", + "Statistical=0.779, p=0.000\n", + "PAN-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.641, p=0.000\n", + "PAN-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.621, p=0.000\n", + "PAN-Commercial service exports (current US$)\n", + "Statistical=0.918, p=0.019\n", + "PAN-Commercial service imports (current US$)\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Completeness of birth registration (%)\n", + "Statistical=0.805, p=0.000\n", + "PAN-Consumer price index (2010 = 100)\n", + "Statistical=0.965, p=0.364\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.911, p=0.012\n", + "PAN-Crop production index (2014-2016 = 100)\n", + "Statistical=0.891, p=0.004\n", + "PAN-Current account balance (% of GDP)\n", + "Statistical=0.872, p=0.001\n", + "PAN-Current account balance (BoP, current US$)\n", + "Statistical=0.962, p=0.311\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Current health expenditure (% of GDP)\n", + "Statistical=0.899, p=0.006\n", + "PAN-Current health expenditure per capita (current US$)\n", + "Statistical=0.899, p=0.006\n", + "PAN-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.909, p=0.010\n", + "PAN-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.909, p=0.010\n", + "PAN-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.963, p=0.323\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.875, p=0.002\n", + "PAN-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.770, p=0.000\n", + "PAN-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.829, p=0.000\n", + "PAN-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.933, p=0.049\n", + "PAN-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.586, p=0.000\n", + "PAN-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.586, p=0.000\n", + "PAN-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.586, p=0.000\n", + "PAN-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.586, p=0.000\n", + "PAN-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.586, p=0.000\n", + "PAN-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.948, p=0.123\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Electric power consumption (kWh per capita)\n", + "Statistical=0.823, p=0.000\n", + "PAN-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.940, p=0.076\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Electricity production from coal sources (% of total)\n", + "Statistical=0.817, p=0.000\n", + "PAN-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.919, p=0.020\n", + "PAN-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.672, p=0.000\n", + "PAN-Electricity production from nuclear sources (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Electricity production from oil sources (% of total)\n", + "Statistical=0.867, p=0.001\n", + "PAN-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.694, p=0.000\n", + "PAN-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.678, p=0.000\n", + "PAN-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.791, p=0.000\n", + "PAN-Energy related methane emissions (% of total)\n", + "Statistical=0.844, p=0.000\n", + "PAN-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.726, p=0.000\n", + "PAN-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.960, p=0.280\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Export unit value index (2000 = 100)\n", + "Statistical=0.935, p=0.053\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Export value index (2000 = 100)\n", + "Statistical=0.850, p=0.000\n", + "PAN-Export volume index (2000 = 100)\n", + "Statistical=0.860, p=0.001\n", + "PAN-Exports of goods and services (% of GDP)\n", + "Statistical=0.792, p=0.000\n", + "PAN-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.735, p=0.000\n", + "PAN-Exports of goods and services (current US$)\n", + "Statistical=0.815, p=0.000\n", + "PAN-External balance on goods and services (% of GDP)\n", + "Statistical=0.893, p=0.004\n", + "PAN-External balance on goods and services (current US$)\n", + "Statistical=0.874, p=0.001\n", + "PAN-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=0.565, p=0.000\n", + "PAN-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Final consumption expenditure (% of GDP)\n", + "Statistical=0.939, p=0.072\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Final consumption expenditure (current US$)\n", + "Statistical=0.905, p=0.008\n", + "PAN-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.905, p=0.008\n", + "PAN-Firms offering formal training (% of firms)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.904, p=0.008\n", + "PAN-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.588, p=0.000\n", + "PAN-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.547, p=0.000\n", + "PAN-Fixed broadband subscriptions\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.914, p=0.014\n", + "PAN-Fixed telephone subscriptions\n", + "Statistical=0.950, p=0.140\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Food exports (% of merchandise exports)\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Food imports (% of merchandise imports)\n", + "Statistical=0.927, p=0.033\n", + "PAN-Food production index (2014-2016 = 100)\n", + "Statistical=0.803, p=0.000\n", + "PAN-Forest area (% of land area)\n", + "Statistical=0.899, p=0.006\n", + "PAN-Forest area (sq. km)\n", + "Statistical=0.870, p=0.001\n", + "PAN-Forest rents (% of GDP)\n", + "Statistical=0.954, p=0.184\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.760, p=0.000\n", + "PAN-Fuel exports (% of merchandise exports)\n", + "Statistical=0.706, p=0.000\n", + "PAN-Fuel imports (% of merchandise imports)\n", + "Statistical=0.697, p=0.000\n", + "PAN-GDP (current US$)\n", + "Statistical=0.946, p=0.112\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-GDP deflator (base year varies by country)\n", + "Statistical=0.928, p=0.033\n", + "PAN-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.965, p=0.383\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-GDP growth (annual %)\n", + "Statistical=0.965, p=0.383\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-GDP per capita (current US$)\n", + "Statistical=0.924, p=0.026\n", + "PAN-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.653, p=0.000\n", + "PAN-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.910, p=0.012\n", + "PAN-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.921, p=0.022\n", + "PAN-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.901, p=0.007\n", + "PAN-GNI (current US$)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-GNI growth (annual %)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-GNI per capita growth (annual %)\n", + "Statistical=0.922, p=0.024\n", + "PAN-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.882, p=0.002\n", + "PAN-General government final consumption expenditure (current US$)\n", + "Statistical=0.976, p=0.672\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Gini index\n", + "Statistical=0.834, p=0.000\n", + "PAN-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Goods imports (BoP, current US$)\n", + "Statistical=0.879, p=0.002\n", + "PAN-Grants and other revenue (% of revenue)\n", + "Statistical=0.840, p=0.000\n", + "PAN-Gross capital formation (% of GDP)\n", + "Statistical=0.846, p=0.000\n", + "PAN-Gross capital formation (current US$)\n", + "Statistical=0.826, p=0.000\n", + "PAN-Gross domestic savings (% of GDP)\n", + "Statistical=0.748, p=0.000\n", + "PAN-Gross domestic savings (current US$)\n", + "Statistical=0.959, p=0.253\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.558, p=0.000\n", + "PAN-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.907, p=0.010\n", + "PAN-Gross savings (% of GDP)\n", + "Statistical=0.953, p=0.172\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Gross savings (current US$)\n", + "Statistical=0.827, p=0.000\n", + "PAN-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.816, p=0.000\n", + "PAN-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.559, p=0.000\n", + "PAN-High-technology exports (% of manufactured exports)\n", + "Statistical=0.573, p=0.000\n", + "PAN-High-technology exports (current US$)\n", + "Statistical=0.896, p=0.005\n", + "PAN-Hospital beds (per 1,000 people)\n", + "Statistical=0.918, p=0.019\n", + "PAN-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.949, p=0.139\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.765, p=0.000\n", + "PAN-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.765, p=0.000\n", + "PAN-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.765, p=0.000\n", + "PAN-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.948, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.980, p=0.798\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.888, p=0.003\n", + "PAN-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.823, p=0.000\n", + "PAN-ICT goods exports (% of total goods exports)\n", + "Statistical=0.662, p=0.000\n", + "PAN-ICT goods imports (% total goods imports)\n", + "Statistical=0.779, p=0.000\n", + "PAN-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.902, p=0.007\n", + "PAN-ICT service exports (BoP, current US$)\n", + "Statistical=0.768, p=0.000\n", + "PAN-Import unit value index (2000 = 100)\n", + "Statistical=0.760, p=0.000\n", + "PAN-Import value index (2000 = 100)\n", + "Statistical=0.512, p=0.000\n", + "PAN-Import volume index (2000 = 100)\n", + "Statistical=0.541, p=0.000\n", + "PAN-Imports of goods and services (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.911, p=0.012\n", + "PAN-Imports of goods and services (current US$)\n", + "Statistical=0.852, p=0.000\n", + "PAN-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "PAN-Income share held by highest 10%\n", + "Statistical=0.671, p=0.000\n", + "PAN-Income share held by highest 20%\n", + "Statistical=0.889, p=0.003\n", + "PAN-Income share held by lowest 10%\n", + "Statistical=0.778, p=0.000\n", + "PAN-Income share held by lowest 20%\n", + "Statistical=0.914, p=0.015\n", + "PAN-Income share held by second 20%\n", + "Statistical=0.881, p=0.002\n", + "PAN-Income share held by third 20%\n", + "Statistical=0.833, p=0.000\n", + "PAN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.894, p=0.004\n", + "PAN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.771, p=0.000\n", + "PAN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.755, p=0.000\n", + "PAN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.821, p=0.000\n", + "PAN-Individuals using the Internet (% of population)\n", + "Statistical=0.760, p=0.000\n", + "PAN-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.765, p=0.000\n", + "PAN-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.453, p=0.000\n", + "PAN-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.892, p=0.004\n", + "PAN-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.882, p=0.002\n", + "PAN-Intentional homicides (per 100,000 people)\n", + "Statistical=0.887, p=0.003\n", + "PAN-Interest payments (% of revenue)\n", + "Statistical=0.941, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-International migrant stock (% of population)\n", + "Statistical=0.939, p=0.071\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.837, p=0.000\n", + "PAN-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.844, p=0.000\n", + "PAN-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.841, p=0.000\n", + "PAN-Land area (sq. km)\n", + "Statistical=0.901, p=0.006\n", + "PAN-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.882, p=0.002\n", + "PAN-Land under cereal production (hectares)\n", + "Statistical=0.893, p=0.004\n", + "PAN-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.897, p=0.005\n", + "PAN-Lifetime risk of maternal death (%)\n", + "Statistical=0.858, p=0.001\n", + "PAN-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.969, p=0.477\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Livestock production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.947, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.970, p=0.510\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.635, p=0.000\n", + "PAN-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.928, p=0.033\n", + "PAN-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.976, p=0.677\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.970, p=0.494\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Low-birthweight babies (% of births)\n", + "Statistical=0.971, p=0.521\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Lower secondary school starting age (years)\n", + "Statistical=0.932, p=0.043\n", + "PAN-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.840, p=0.000\n", + "PAN-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.924, p=0.026\n", + "PAN-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.949, p=0.134\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Marine protected areas (% of territorial waters)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.965, p=0.377\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.924, p=0.027\n", + "PAN-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.915, p=0.015\n", + "PAN-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.930, p=0.040\n", + "PAN-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.985, p=0.922\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.953, p=0.172\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Merchandise exports (current US$)\n", + "Statistical=0.920, p=0.021\n", + "PAN-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.970, p=0.500\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.948, p=0.126\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.918, p=0.018\n", + "PAN-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.921, p=0.022\n", + "PAN-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.683, p=0.000\n", + "PAN-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.900, p=0.006\n", + "PAN-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.652, p=0.000\n", + "PAN-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.880, p=0.002\n", + "PAN-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.746, p=0.000\n", + "PAN-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.916, p=0.017\n", + "PAN-Merchandise imports (current US$)\n", + "Statistical=0.870, p=0.001\n", + "PAN-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.806, p=0.000\n", + "PAN-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.908, p=0.010\n", + "PAN-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.870, p=0.001\n", + "PAN-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.857, p=0.001\n", + "PAN-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.899, p=0.006\n", + "PAN-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.815, p=0.000\n", + "PAN-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.790, p=0.000\n", + "PAN-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.817, p=0.000\n", + "PAN-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.922, p=0.024\n", + "PAN-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.847, p=0.000\n", + "PAN-Merchandise trade (% of GDP)\n", + "Statistical=0.958, p=0.241\n", + "Data is NORMAL ( H0 not denied )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PAN-Methane emissions (% change from 1990)\n", + "Statistical=0.826, p=0.000\n", + "PAN-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.826, p=0.000\n", + "PAN-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.858, p=0.001\n", + "PAN-Military expenditure (% of GDP)\n", + "Statistical=0.858, p=0.001\n", + "PAN-Military expenditure (% of general government expenditure)\n", + "Statistical=0.848, p=0.000\n", + "PAN-Military expenditure (current USD)\n", + "Statistical=0.978, p=0.741\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Mineral rents (% of GDP)\n", + "Statistical=0.797, p=0.000\n", + "PAN-Mobile cellular subscriptions\n", + "Statistical=0.965, p=0.368\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.965, p=0.368\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.905, p=0.008\n", + "PAN-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.916, p=0.016\n", + "PAN-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.932, p=0.046\n", + "PAN-Natural gas rents (% of GDP)\n", + "Statistical=0.970, p=0.510\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Net barter terms of trade index (2000 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Net capital account (BoP, current US$)\n", + "Statistical=0.961, p=0.285\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.950, p=0.143\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Net financial account (BoP, current US$)\n", + "Statistical=0.948, p=0.129\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Net migration\n", + "Statistical=0.903, p=0.008\n", + "PAN-Net primary income (BoP, current US$)\n", + "Statistical=0.903, p=0.008\n", + "PAN-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.850, p=0.000\n", + "PAN-Net secondary income (BoP, current US$)\n", + "Statistical=0.850, p=0.000\n", + "PAN-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=0.678, p=0.000\n", + "PAN-Net trade in goods (BoP, current US$)\n", + "Statistical=0.678, p=0.000\n", + "PAN-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.678, p=0.000\n", + "PAN-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.678, p=0.000\n", + "PAN-New businesses registered (number)\n", + "Statistical=0.678, p=0.000\n", + "PAN-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.798, p=0.000\n", + "PAN-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.799, p=0.000\n", + "PAN-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.961, p=0.287\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Number of deaths ages 10-14 years\n", + "Statistical=0.908, p=0.010\n", + "PAN-Number of deaths ages 15-19 years\n", + "Statistical=0.702, p=0.000\n", + "PAN-Number of deaths ages 20-24 years\n", + "Statistical=0.917, p=0.017\n", + "PAN-Number of deaths ages 5-9 years\n", + "Statistical=0.882, p=0.002\n", + "PAN-Number of infant deaths\n", + "Statistical=0.663, p=0.000\n", + "PAN-Number of maternal deaths\n", + "Statistical=0.866, p=0.001\n", + "PAN-Number of neonatal deaths\n", + "Statistical=0.958, p=0.248\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Number of under-five deaths\n", + "Statistical=0.928, p=0.033\n", + "PAN-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.970, p=0.503\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.926, p=0.031\n", + "PAN-Oil rents (% of GDP)\n", + "Statistical=0.953, p=0.172\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.955, p=0.202\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.822, p=0.000\n", + "PAN-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.915, p=0.015\n", + "PAN-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.794, p=0.000\n", + "PAN-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.921, p=0.022\n", + "PAN-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.891, p=0.004\n", + "PAN-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.891, p=0.004\n", + "PAN-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.839, p=0.000\n", + "PAN-People using at least basic drinking water services (% of population)\n", + "Statistical=0.839, p=0.000\n", + "PAN-People using at least basic sanitation services (% of population)\n", + "Statistical=0.836, p=0.000\n", + "PAN-People using safely managed sanitation services (% of population)\n", + "Statistical=0.836, p=0.000\n", + "PAN-Permanent cropland (% of land area)\n", + "Statistical=0.973, p=0.601\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Physicians (per 1,000 people)\n", + "Statistical=0.889, p=0.003\n", + "PAN-Population ages 0-14 (% of total population)\n", + "Statistical=0.889, p=0.003\n", + "PAN-Population ages 15-64 (% of total population)\n", + "Statistical=0.842, p=0.000\n", + "PAN-Population ages 65 and above (% of total population)\n", + "Statistical=0.842, p=0.000\n", + "PAN-Population density (people per sq. km of land area)\n", + "Statistical=0.975, p=0.659\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Population growth (annual %)\n", + "Statistical=0.889, p=0.003\n", + "PAN-Population in largest city\n", + "Statistical=0.861, p=0.001\n", + "PAN-Population in the largest city (% of urban population)\n", + "Statistical=0.827, p=0.000\n", + "PAN-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.826, p=0.000\n", + "PAN-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.845, p=0.000\n", + "PAN-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.891, p=0.004\n", + "PAN-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.849, p=0.000\n", + "PAN-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.839, p=0.000\n", + "PAN-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.875, p=0.002\n", + "PAN-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.875, p=0.002\n", + "PAN-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.837, p=0.000\n", + "PAN-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.837, p=0.000\n", + "PAN-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.965, p=0.368\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.867, p=0.001\n", + "PAN-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.867, p=0.001\n", + "PAN-Prevalence of undernourishment (% of population)\n", + "Statistical=0.839, p=0.000\n", + "PAN-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.965, p=0.365\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Primary income payments (BoP, current US$)\n", + "Statistical=0.842, p=0.000\n", + "PAN-Primary income receipts (BoP, current US$)\n", + "Statistical=0.867, p=0.001\n", + "PAN-Primary school starting age (years)\n", + "Statistical=0.857, p=0.001\n", + "PAN-Private credit bureau coverage (% of adults)\n", + "Statistical=0.840, p=0.000\n", + "PAN-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.875, p=0.002\n", + "PAN-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.846, p=0.000\n", + "PAN-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.837, p=0.000\n", + "PAN-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.965, p=0.365\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Procedures to build a warehouse (number)\n", + "Statistical=0.962, p=0.303\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Procedures to register property (number)\n", + "Statistical=0.876, p=0.002\n", + "PAN-Profit tax (% of commercial profits)\n", + "Statistical=0.876, p=0.002\n", + "PAN-Progression to secondary school (%)\n", + "Statistical=0.837, p=0.000\n", + "PAN-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.837, p=0.000\n", + "PAN-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.875, p=0.001\n", + "PAN-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.891, p=0.004\n", + "PAN-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.862, p=0.001\n", + "PAN-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.934, p=0.049\n", + "PAN-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.910, p=0.011\n", + "PAN-Public credit registry coverage (% of adults)\n", + "Statistical=0.806, p=0.000\n", + "PAN-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.828, p=0.000\n", + "PAN-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.789, p=0.000\n", + "PAN-Rail lines (total route-km)\n", + "Statistical=0.620, p=0.000\n", + "PAN-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.468, p=0.000\n", + "PAN-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.933, p=0.048\n", + "PAN-Refugee population by country or territory of asylum\n", + "Statistical=0.916, p=0.016\n", + "PAN-Refugee population by country or territory of origin\n", + "Statistical=0.982, p=0.853\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.824, p=0.000\n", + "PAN-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.824, p=0.000\n", + "PAN-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.828, p=0.000\n", + "PAN-Research and development expenditure (% of GDP)\n", + "Statistical=0.828, p=0.000\n", + "PAN-Researchers in R&D (per million people)\n", + "Statistical=0.873, p=0.001\n", + "PAN-Reserves and related items (BoP, current US$)\n", + "Statistical=0.950, p=0.143\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.819, p=0.000\n", + "PAN-Rural land area (sq. km)\n", + "Statistical=0.819, p=0.000\n", + "PAN-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.957, p=0.221\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.895, p=0.005\n", + "PAN-Rural population\n", + "Statistical=0.816, p=0.000\n", + "PAN-Rural population (% of total population)\n", + "Statistical=0.816, p=0.000\n", + "PAN-Rural population growth (annual %)\n", + "Statistical=0.815, p=0.000\n", + "PAN-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.815, p=0.000\n", + "PAN-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.910, p=0.011\n", + "PAN-Scientific and technical journal articles\n", + "Statistical=0.914, p=0.015\n", + "PAN-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.912, p=0.013\n", + "PAN-Secure Internet servers\n", + "Statistical=0.963, p=0.339\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Secure Internet servers (per 1 million people)\n", + "Statistical=0.869, p=0.001\n", + "PAN-Service exports (BoP, current US$)\n", + "Statistical=0.866, p=0.001\n", + "PAN-Service imports (BoP, current US$)\n", + "Statistical=0.846, p=0.000\n", + "PAN-Sex ratio at birth (male births per female births)\n", + "Statistical=0.846, p=0.000\n", + "PAN-Social contributions (% of revenue)\n", + "Statistical=0.845, p=0.000\n", + "PAN-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.954, p=0.186\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Start-up procedures to register a business (number)\n", + "Statistical=0.957, p=0.220\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.816, p=0.000\n", + "PAN-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.816, p=0.000\n", + "PAN-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.892, p=0.004\n", + "PAN-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.892, p=0.004\n", + "PAN-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.839, p=0.000\n", + "PAN-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.839, p=0.000\n", + "PAN-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.660, p=0.000\n", + "PAN-Surface area (sq. km)\n", + "Statistical=0.685, p=0.000\n", + "PAN-Tax payments (number)\n", + "Statistical=0.926, p=0.030\n", + "PAN-Tax revenue (% of GDP)\n", + "Statistical=0.954, p=0.183\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Taxes less subsidies on products (current US$)\n", + "Statistical=0.906, p=0.009\n", + "PAN-Taxes on goods and services (% of revenue)\n", + "Statistical=0.906, p=0.009\n", + "PAN-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.855, p=0.001\n", + "PAN-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.855, p=0.001\n", + "PAN-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.911, p=0.012\n", + "PAN-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Time required to build a warehouse (days)\n", + "Statistical=0.906, p=0.009\n", + "PAN-Time required to enforce a contract (days)\n", + "Statistical=0.869, p=0.001\n", + "PAN-Time required to get electricity (days)\n", + "Statistical=0.939, p=0.069\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Time required to register property (days)\n", + "Statistical=0.855, p=0.001\n", + "PAN-Time required to start a business (days)\n", + "Statistical=0.388, p=0.000\n", + "PAN-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.719, p=0.000\n", + "PAN-Time to obtain an electrical connection (days)\n", + "Statistical=0.732, p=0.000\n", + "PAN-Time to prepare and pay taxes (hours)\n", + "Statistical=0.653, p=0.000\n", + "PAN-Time to resolve insolvency (years)\n", + "Statistical=0.763, p=0.000\n", + "PAN-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.695, p=0.000\n", + "PAN-Total fisheries production (metric tons)\n", + "Statistical=0.730, p=0.000\n", + "PAN-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.701, p=0.000\n", + "PAN-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.773, p=0.000\n", + "PAN-Total natural resources rents (% of GDP)\n", + "Statistical=0.774, p=0.000\n", + "PAN-Total reserves (includes gold, current US$)\n", + "Statistical=0.839, p=0.000\n", + "PAN-Total reserves in months of imports\n", + "Statistical=0.926, p=0.030\n", + "PAN-Total reserves minus gold (current US$)\n", + "Statistical=0.813, p=0.000\n", + "PAN-Total tax and contribution rate (% of profit)\n", + "Statistical=0.957, p=0.225\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Trade (% of GDP)\n", + "Statistical=0.830, p=0.000\n", + "PAN-Trade in services (% of GDP)\n", + "Statistical=0.823, p=0.000\n", + "PAN-Transport services (% of commercial service exports)\n", + "Statistical=0.900, p=0.006\n", + "PAN-Transport services (% of commercial service imports)\n", + "Statistical=0.826, p=0.000\n", + "PAN-Transport services (% of service exports, BoP)\n", + "Statistical=0.815, p=0.000\n", + "PAN-Transport services (% of service imports, BoP)\n", + "Statistical=0.911, p=0.012\n", + "PAN-Travel services (% of commercial service exports)\n", + "Statistical=0.852, p=0.000\n", + "PAN-Travel services (% of commercial service imports)\n", + "Statistical=0.973, p=0.593\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Travel services (% of service exports, BoP)\n", + "Statistical=0.821, p=0.000\n", + "PAN-Travel services (% of service imports, BoP)\n", + "Statistical=0.821, p=0.000\n", + "PAN-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.868, p=0.001\n", + "PAN-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.868, p=0.001\n", + "PAN-UHC service coverage index\n", + "Statistical=0.842, p=0.000\n", + "PAN-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.934, p=0.051\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.970, p=0.500\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.919, p=0.020\n", + "PAN-Urban land area (sq. km)\n", + "Statistical=0.882, p=0.002\n", + "PAN-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.842, p=0.000\n", + "PAN-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.868, p=0.001\n", + "PAN-Urban population\n", + "Statistical=0.879, p=0.002\n", + "PAN-Urban population (% of total population)\n", + "Statistical=0.879, p=0.002\n", + "PAN-Urban population growth (annual %)\n", + "Statistical=0.819, p=0.000\n", + "PAN-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.819, p=0.000\n", + "PAN-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.816, p=0.000\n", + "PAN-GDP (current US$)+1\n", + "Statistical=0.816, p=0.000\n", + "PAN-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-GDP (current US$)+2\n", + "Statistical=0.875, p=0.001\n", + "PAN-GDP (current US$)+3\n", + "Statistical=0.876, p=0.002\n", + "PAN-GDP (current US$)+5\n", + "Statistical=0.922, p=0.024\n", + "PAN-GDP (current US$)+8\n", + "Statistical=0.951, p=0.151\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-GDP (current US$)+13\n", + "Statistical=0.832, p=0.000\n", + "PAN-GDP (current US$)+21\n", + "Statistical=0.832, p=0.000\n", + "PAN-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.790, p=0.000\n", + "PAN-Deposit interest rate (%)\n", + "Statistical=0.790, p=0.000\n", + "PAN-Other taxes (% of revenue)\n", + "Statistical=0.741, p=0.000\n", + "PAN-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.954, p=0.192\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Taxes on international trade (% of revenue)\n", + "Statistical=0.954, p=0.192\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.948, p=0.122\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Broad money (% of GDP)\n", + "Statistical=0.971, p=0.516\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Broad money growth (annual %)\n", + "Statistical=0.969, p=0.482\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Broad money to total reserves ratio\n", + "Statistical=0.963, p=0.327\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.970, p=0.486\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.937, p=0.062\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.548, p=0.000\n", + "PAN-External health expenditure (% of current health expenditure)\n", + "Statistical=0.526, p=0.000\n", + "PAN-External health expenditure per capita (current US$)\n", + "Statistical=0.571, p=0.000\n", + "PAN-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.828, p=0.000\n", + "PAN-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.859, p=0.001\n", + "PAN-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.964, p=0.354\n", + "Data is NORMAL ( H0 not denied )\n", + "PAN-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.807, p=0.000\n", + "PAN-People practicing open defecation (% of population)\n", + "Statistical=0.830, p=0.000\n", + "PAN-Taxes on exports (% of tax revenue)\n", + "Statistical=0.784, p=0.000\n", + "PAN-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.847, p=0.000\n", + "PAN-Country\n", + "Statistical=0.855, p=0.001\n", + "PAN-Year\n", + "Statistical=0.787, p=0.000\n", + "PAN-Continent\n", + "Statistical=0.803, p=0.000\n", + "CRI-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Adjusted net national income (current US$)\n", + "Statistical=0.851, p=0.000\n", + "CRI-Adjusted net national income per capita (current US$)\n", + "Statistical=0.802, p=0.000\n", + "CRI-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.860, p=0.001\n", + "CRI-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.848, p=0.000\n", + "CRI-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.872, p=0.001\n", + "CRI-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.865, p=0.001\n", + "CRI-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.617, p=0.000\n", + "CRI-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.606, p=0.000\n", + "CRI-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.619, p=0.000\n", + "CRI-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.615, p=0.000\n", + "CRI-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.608, p=0.000\n", + "CRI-Age dependency ratio (% of working-age population)\n", + "Statistical=0.620, p=0.000\n", + "CRI-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.621, p=0.000\n", + "CRI-Agricultural land (% of land area)\n", + "Statistical=0.604, p=0.000\n", + "CRI-Agricultural land (sq. km)\n", + "Statistical=0.620, p=0.000\n", + "CRI-Agricultural methane emissions (% of total)\n", + "Statistical=0.892, p=0.004\n", + "CRI-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.919, p=0.020\n", + "CRI-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.909, p=0.011\n", + "CRI-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.972, p=0.542\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.919, p=0.019\n", + "CRI-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.858, p=0.001\n", + "CRI-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.982, p=0.863\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Aquaculture production (metric tons)\n", + "Statistical=0.905, p=0.008\n", + "CRI-Arable land (% of land area)\n", + "Statistical=0.853, p=0.000\n", + "CRI-Arable land (hectares per person)\n", + "Statistical=0.930, p=0.039\n", + "CRI-Arable land (hectares)\n", + "Statistical=0.852, p=0.000\n", + "CRI-Armed forces personnel (% of total labor force)\n", + "Statistical=0.924, p=0.027\n", + "CRI-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.853, p=0.000\n", + "CRI-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.926, p=0.031\n", + "CRI-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.924, p=0.027\n", + "CRI-Average precipitation in depth (mm per year)\n", + "Statistical=0.946, p=0.111\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Average time to clear exports through customs (days)\n", + "Statistical=0.879, p=0.002\n", + "CRI-Births attended by skilled health staff (% of total)\n", + "Statistical=0.881, p=0.002\n", + "CRI-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.816, p=0.000\n", + "CRI-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.965, p=0.370\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-CO2 emissions (kt)\n", + "Statistical=0.795, p=0.000\n", + "CRI-CO2 emissions (metric tons per capita)\n", + "Statistical=0.882, p=0.002\n", + "CRI-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.911, p=0.012\n", + "CRI-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=0.901, p=0.006\n", + "CRI-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=0.738, p=0.000\n", + "CRI-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.950, p=0.140\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.882, p=0.002\n", + "CRI-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.836, p=0.000\n", + "CRI-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.821, p=0.000\n", + "CRI-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.916, p=0.016\n", + "CRI-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=0.911, p=0.012\n", + "CRI-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=0.590, p=0.000\n", + "CRI-Capture fisheries production (metric tons)\n", + "Statistical=0.645, p=0.000\n", + "CRI-Cereal production (metric tons)\n", + "Statistical=0.845, p=0.000\n", + "CRI-Cereal yield (kg per hectare)\n", + "Statistical=0.901, p=0.006\n", + "CRI-Changes in inventories (current US$)\n", + "Statistical=0.891, p=0.004\n", + "CRI-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.679, p=0.000\n", + "CRI-Children out of school (% of primary school age)\n", + "Statistical=0.739, p=0.000\n", + "CRI-Coal rents (% of GDP)\n", + "Statistical=0.739, p=0.000\n", + "CRI-Combustible renewables and waste (% of total energy)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Commercial bank branches (per 100,000 adults)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Commercial service exports (current US$)\n", + "Statistical=0.732, p=0.000\n", + "CRI-Commercial service imports (current US$)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Completeness of birth registration (%)\n", + "Statistical=0.713, p=0.000\n", + "CRI-Consumer price index (2010 = 100)\n", + "Statistical=0.873, p=0.001\n", + "CRI-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.858, p=0.001\n", + "CRI-Crop production index (2014-2016 = 100)\n", + "Statistical=0.920, p=0.020\n", + "CRI-Current account balance (% of GDP)\n", + "Statistical=0.903, p=0.008\n", + "CRI-Current account balance (BoP, current US$)\n", + "Statistical=0.971, p=0.529\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Current health expenditure (% of GDP)\n", + "Statistical=0.949, p=0.135\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Current health expenditure per capita (current US$)\n", + "Statistical=0.949, p=0.135\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.907, p=0.009\n", + "CRI-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.930, p=0.038\n", + "CRI-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.929, p=0.037\n", + "CRI-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.826, p=0.000\n", + "CRI-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.916, p=0.016\n", + "CRI-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.917, p=0.017\n", + "CRI-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.586, p=0.000\n", + "CRI-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.586, p=0.000\n", + "CRI-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.586, p=0.000\n", + "CRI-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.586, p=0.000\n", + "CRI-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.586, p=0.000\n", + "CRI-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.890, p=0.003\n", + "CRI-Electric power consumption (kWh per capita)\n", + "Statistical=0.885, p=0.003\n", + "CRI-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.833, p=0.000\n", + "CRI-Electricity production from coal sources (% of total)\n", + "Statistical=0.885, p=0.003\n", + "CRI-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.839, p=0.000\n", + "CRI-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.813, p=0.000\n", + "CRI-Electricity production from nuclear sources (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Electricity production from oil sources (% of total)\n", + "Statistical=0.855, p=0.001\n", + "CRI-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.780, p=0.000\n", + "CRI-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.695, p=0.000\n", + "CRI-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=0.707, p=0.000\n", + "CRI-Energy related methane emissions (% of total)\n", + "Statistical=0.636, p=0.000\n", + "CRI-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.886, p=0.003\n", + "CRI-Export unit value index (2000 = 100)\n", + "Statistical=0.924, p=0.027\n", + "CRI-Export value index (2000 = 100)\n", + "Statistical=0.778, p=0.000\n", + "CRI-Export volume index (2000 = 100)\n", + "Statistical=0.791, p=0.000\n", + "CRI-Exports of goods and services (% of GDP)\n", + "Statistical=0.829, p=0.000\n", + "CRI-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.867, p=0.001\n", + "CRI-Exports of goods and services (current US$)\n", + "Statistical=0.867, p=0.001\n", + "CRI-External balance on goods and services (% of GDP)\n", + "Statistical=0.948, p=0.125\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-External balance on goods and services (current US$)\n", + "Statistical=0.924, p=0.027\n", + "CRI-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.943, p=0.093\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Final consumption expenditure (% of GDP)\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Final consumption expenditure (current US$)\n", + "Statistical=0.949, p=0.133\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.914, p=0.014\n", + "CRI-Firms offering formal training (% of firms)\n", + "Statistical=0.903, p=0.007\n", + "CRI-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.943, p=0.093\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Firms using banks to finance working capital (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Firms with female participation in ownership (% of firms)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Fixed broadband subscriptions\n", + "Statistical=0.889, p=0.003\n", + "CRI-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.876, p=0.002\n", + "CRI-Fixed telephone subscriptions\n", + "Statistical=0.887, p=0.003\n", + "CRI-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.846, p=0.000\n", + "CRI-Food exports (% of merchandise exports)\n", + "Statistical=0.910, p=0.011\n", + "CRI-Food imports (% of merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Food production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Forest area (% of land area)\n", + "Statistical=0.897, p=0.005\n", + "CRI-Forest area (sq. km)\n", + "Statistical=0.849, p=0.000\n", + "CRI-Forest rents (% of GDP)\n", + "Statistical=0.854, p=0.001\n", + "CRI-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.687, p=0.000\n", + "CRI-Fuel exports (% of merchandise exports)\n", + "Statistical=0.774, p=0.000\n", + "CRI-Fuel imports (% of merchandise imports)\n", + "Statistical=0.600, p=0.000\n", + "CRI-GDP (current US$)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-GDP deflator (base year varies by country)\n", + "Statistical=0.946, p=0.109\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.965, p=0.366\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-GDP growth (annual %)\n", + "Statistical=0.970, p=0.498\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-GDP per capita (current US$)\n", + "Statistical=0.763, p=0.000\n", + "CRI-GDP per capita growth (annual %)\n", + "Statistical=0.725, p=0.000\n", + "CRI-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.861, p=0.001\n", + "CRI-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.892, p=0.004\n", + "CRI-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.922, p=0.024\n", + "CRI-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.912, p=0.013\n", + "CRI-GNI (current US$)\n", + "Statistical=0.885, p=0.003\n", + "CRI-GNI growth (annual %)\n", + "Statistical=0.918, p=0.018\n", + "CRI-GNI per capita growth (annual %)\n", + "Statistical=0.908, p=0.010\n", + "CRI-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.961, p=0.301\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-General government final consumption expenditure (current US$)\n", + "Statistical=0.930, p=0.040\n", + "CRI-Gini index\n", + "Statistical=0.970, p=0.500\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Goods exports (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Goods imports (BoP, current US$)\n", + "Statistical=0.947, p=0.115\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Grants and other revenue (% of revenue)\n", + "Statistical=0.803, p=0.000\n", + "CRI-Gross capital formation (% of GDP)\n", + "Statistical=0.915, p=0.015\n", + "CRI-Gross capital formation (current US$)\n", + "Statistical=0.868, p=0.001\n", + "CRI-Gross domestic savings (% of GDP)\n", + "Statistical=0.886, p=0.003\n", + "CRI-Gross domestic savings (current US$)\n", + "Statistical=0.923, p=0.025\n", + "CRI-Gross fixed capital formation (% of GDP)\n", + "Statistical=0.596, p=0.000\n", + "CRI-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Gross national expenditure (current US$)\n", + "Statistical=0.602, p=0.000\n", + "CRI-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.887, p=0.003\n", + "CRI-Gross savings (% of GDP)\n", + "Statistical=0.912, p=0.013\n", + "CRI-Gross savings (current US$)\n", + "Statistical=0.890, p=0.004\n", + "CRI-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.822, p=0.000\n", + "CRI-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.900, p=0.006\n", + "CRI-High-technology exports (% of manufactured exports)\n", + "Statistical=0.946, p=0.112\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-High-technology exports (current US$)\n", + "Statistical=0.969, p=0.470\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Hospital beds (per 1,000 people)\n", + "Statistical=0.909, p=0.011\n", + "CRI-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.800, p=0.000\n", + "CRI-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.800, p=0.000\n", + "CRI-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.800, p=0.000\n", + "CRI-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=0.478, p=0.000\n", + "CRI-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=0.478, p=0.000\n", + "CRI-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.978, p=0.749\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.875, p=0.002\n", + "CRI-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.816, p=0.000\n", + "CRI-ICT goods exports (% of total goods exports)\n", + "Statistical=0.785, p=0.000\n", + "CRI-ICT goods imports (% total goods imports)\n", + "Statistical=0.847, p=0.000\n", + "CRI-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.866, p=0.001\n", + "CRI-ICT service exports (BoP, current US$)\n", + "Statistical=0.771, p=0.000\n", + "CRI-Import unit value index (2000 = 100)\n", + "Statistical=0.826, p=0.000\n", + "CRI-Import value index (2000 = 100)\n", + "Statistical=0.745, p=0.000\n", + "CRI-Import volume index (2000 = 100)\n", + "Statistical=0.846, p=0.000\n", + "CRI-Imports of goods and services (% of GDP)\n", + "Statistical=0.867, p=0.001\n", + "CRI-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.862, p=0.001\n", + "CRI-Imports of goods and services (current US$)\n", + "Statistical=0.922, p=0.024\n", + "CRI-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "CRI-Income share held by highest 10%\n", + "Statistical=0.261, p=0.000\n", + "CRI-Income share held by highest 20%\n", + "Statistical=0.887, p=0.003\n", + "CRI-Income share held by lowest 10%\n", + "Statistical=0.778, p=0.000\n", + "CRI-Income share held by lowest 20%\n", + "Statistical=0.905, p=0.008\n", + "CRI-Income share held by second 20%\n", + "Statistical=0.817, p=0.000\n", + "CRI-Income share held by third 20%\n", + "Statistical=0.814, p=0.000\n", + "CRI-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.836, p=0.000\n", + "CRI-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.769, p=0.000\n", + "CRI-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.819, p=0.000\n", + "CRI-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.810, p=0.000\n", + "CRI-Individuals using the Internet (% of population)\n", + "Statistical=0.778, p=0.000\n", + "CRI-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.843, p=0.000\n", + "CRI-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.450, p=0.000\n", + "CRI-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.724, p=0.000\n", + "CRI-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.741, p=0.000\n", + "CRI-Intentional homicides (per 100,000 people)\n", + "Statistical=0.733, p=0.000\n", + "CRI-Interest payments (% of revenue)\n", + "Statistical=0.756, p=0.000\n", + "CRI-International migrant stock (% of population)\n", + "Statistical=0.754, p=0.000\n", + "CRI-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.757, p=0.000\n", + "CRI-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.734, p=0.000\n", + "CRI-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.809, p=0.000\n", + "CRI-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.719, p=0.000\n", + "CRI-Land area (sq. km)\n", + "Statistical=0.756, p=0.000\n", + "CRI-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.756, p=0.000\n", + "CRI-Land under cereal production (hectares)\n", + "Statistical=0.754, p=0.000\n", + "CRI-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.847, p=0.000\n", + "CRI-Lifetime risk of maternal death (%)\n", + "Statistical=0.801, p=0.000\n", + "CRI-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.963, p=0.337\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Livestock production index (2014-2016 = 100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.859, p=0.001\n", + "CRI-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.859, p=0.001\n", + "CRI-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.886, p=0.003\n", + "CRI-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.866, p=0.001\n", + "CRI-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.874, p=0.001\n", + "CRI-Low-birthweight babies (% of births)\n", + "Statistical=0.873, p=0.001\n", + "CRI-Lower secondary school starting age (years)\n", + "Statistical=0.901, p=0.007\n", + "CRI-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.956, p=0.216\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.872, p=0.001\n", + "CRI-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Marine protected areas (% of territorial waters)\n", + "Statistical=0.902, p=0.007\n", + "CRI-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.933, p=0.046\n", + "CRI-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.924, p=0.028\n", + "CRI-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.912, p=0.012\n", + "CRI-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.927, p=0.033\n", + "CRI-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.930, p=0.040\n", + "CRI-Merchandise exports (current US$)\n", + "Statistical=0.842, p=0.000\n", + "CRI-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.883, p=0.002\n", + "CRI-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.973, p=0.592\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.976, p=0.678\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.932, p=0.045\n", + "CRI-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.930, p=0.039\n", + "CRI-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.932, p=0.043\n", + "CRI-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.917, p=0.018\n", + "CRI-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.930, p=0.040\n", + "CRI-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.854, p=0.001\n", + "CRI-Merchandise imports (current US$)\n", + "Statistical=0.920, p=0.020\n", + "CRI-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.815, p=0.000\n", + "CRI-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.804, p=0.000\n", + "CRI-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.889, p=0.003\n", + "CRI-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.875, p=0.002\n", + "CRI-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.951, p=0.158\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.926, p=0.030\n", + "CRI-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.904, p=0.008\n", + "CRI-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.928, p=0.034\n", + "CRI-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.910, p=0.011\n", + "CRI-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.923, p=0.025\n", + "CRI-Merchandise trade (% of GDP)\n", + "Statistical=0.957, p=0.222\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Methane emissions (% change from 1990)\n", + "Statistical=0.951, p=0.154\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.951, p=0.154\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.906, p=0.009\n", + "CRI-Military expenditure (% of GDP)\n", + "Statistical=0.924, p=0.027\n", + "CRI-Military expenditure (% of general government expenditure)\n", + "Statistical=0.925, p=0.029\n", + "CRI-Military expenditure (current USD)\n", + "Statistical=0.978, p=0.743\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Mineral rents (% of GDP)\n", + "Statistical=0.403, p=0.000\n", + "CRI-Mobile cellular subscriptions\n", + "Statistical=0.939, p=0.070\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.948, p=0.125\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.798, p=0.000\n", + "CRI-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.873, p=0.001\n", + "CRI-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.826, p=0.000\n", + "CRI-Natural gas rents (% of GDP)\n", + "Statistical=0.851, p=0.000\n", + "CRI-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.590, p=0.000\n", + "CRI-Net capital account (BoP, current US$)\n", + "Statistical=0.955, p=0.203\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Net financial account (BoP, current US$)\n", + "Statistical=0.968, p=0.458\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Net migration\n", + "Statistical=0.914, p=0.014\n", + "CRI-Net primary income (BoP, current US$)\n", + "Statistical=0.914, p=0.014\n", + "CRI-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.868, p=0.001\n", + "CRI-Net secondary income (BoP, current US$)\n", + "Statistical=0.855, p=0.001\n", + "CRI-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Net trade in goods (BoP, current US$)\n", + "Statistical=0.695, p=0.000\n", + "CRI-Net trade in goods and services (BoP, current US$)\n", + "Statistical=0.695, p=0.000\n", + "CRI-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=0.695, p=0.000\n", + "CRI-New businesses registered (number)\n", + "Statistical=0.695, p=0.000\n", + "CRI-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.766, p=0.000\n", + "CRI-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.772, p=0.000\n", + "CRI-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.959, p=0.266\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Number of deaths ages 10-14 years\n", + "Statistical=0.930, p=0.039\n", + "CRI-Number of deaths ages 15-19 years\n", + "Statistical=0.896, p=0.005\n", + "CRI-Number of deaths ages 20-24 years\n", + "Statistical=0.946, p=0.113\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Number of deaths ages 5-9 years\n", + "Statistical=0.930, p=0.039\n", + "CRI-Number of infant deaths\n", + "Statistical=0.952, p=0.165\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Number of maternal deaths\n", + "Statistical=0.896, p=0.005\n", + "CRI-Number of neonatal deaths\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Number of under-five deaths\n", + "Statistical=0.886, p=0.003\n", + "CRI-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.880, p=0.002\n", + "CRI-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.864, p=0.001\n", + "CRI-Oil rents (% of GDP)\n", + "Statistical=0.813, p=0.000\n", + "CRI-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.813, p=0.000\n", + "CRI-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.829, p=0.000\n", + "CRI-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.847, p=0.000\n", + "CRI-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.883, p=0.002\n", + "CRI-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.972, p=0.568\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.928, p=0.034\n", + "CRI-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.928, p=0.034\n", + "CRI-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.868, p=0.001\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CRI-People using at least basic drinking water services (% of population)\n", + "Statistical=0.859, p=0.001\n", + "CRI-People using at least basic sanitation services (% of population)\n", + "Statistical=0.896, p=0.005\n", + "CRI-People using safely managed sanitation services (% of population)\n", + "Statistical=0.896, p=0.005\n", + "CRI-Permanent cropland (% of land area)\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Physicians (per 1,000 people)\n", + "Statistical=0.923, p=0.024\n", + "CRI-Population ages 0-14 (% of total population)\n", + "Statistical=0.923, p=0.024\n", + "CRI-Population ages 15-64 (% of total population)\n", + "Statistical=0.878, p=0.002\n", + "CRI-Population ages 65 and above (% of total population)\n", + "Statistical=0.856, p=0.001\n", + "CRI-Population density (people per sq. km of land area)\n", + "Statistical=0.984, p=0.901\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Population growth (annual %)\n", + "Statistical=0.923, p=0.024\n", + "CRI-Population in largest city\n", + "Statistical=0.895, p=0.005\n", + "CRI-Population in the largest city (% of urban population)\n", + "Statistical=0.888, p=0.003\n", + "CRI-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.898, p=0.005\n", + "CRI-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.908, p=0.010\n", + "CRI-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.928, p=0.034\n", + "CRI-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.893, p=0.004\n", + "CRI-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.868, p=0.001\n", + "CRI-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.925, p=0.028\n", + "CRI-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.925, p=0.028\n", + "CRI-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.868, p=0.001\n", + "CRI-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.857, p=0.001\n", + "CRI-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.957, p=0.228\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.916, p=0.016\n", + "CRI-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.916, p=0.016\n", + "CRI-Prevalence of undernourishment (% of population)\n", + "Statistical=0.877, p=0.002\n", + "CRI-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.953, p=0.175\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Primary income payments (BoP, current US$)\n", + "Statistical=0.868, p=0.001\n", + "CRI-Primary income receipts (BoP, current US$)\n", + "Statistical=0.916, p=0.016\n", + "CRI-Primary school starting age (years)\n", + "Statistical=0.898, p=0.005\n", + "CRI-Private credit bureau coverage (% of adults)\n", + "Statistical=0.868, p=0.001\n", + "CRI-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.925, p=0.028\n", + "CRI-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.895, p=0.005\n", + "CRI-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.868, p=0.001\n", + "CRI-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.887, p=0.003\n", + "CRI-Procedures to build a warehouse (number)\n", + "Statistical=0.963, p=0.328\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Procedures to register property (number)\n", + "Statistical=0.920, p=0.021\n", + "CRI-Profit tax (% of commercial profits)\n", + "Statistical=0.920, p=0.021\n", + "CRI-Progression to secondary school (%)\n", + "Statistical=0.848, p=0.000\n", + "CRI-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.830, p=0.000\n", + "CRI-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.951, p=0.153\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.925, p=0.028\n", + "CRI-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.889, p=0.003\n", + "CRI-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.881, p=0.002\n", + "CRI-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.944, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Public credit registry coverage (% of adults)\n", + "Statistical=0.883, p=0.002\n", + "CRI-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.808, p=0.000\n", + "CRI-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.869, p=0.001\n", + "CRI-Rail lines (total route-km)\n", + "Statistical=0.904, p=0.008\n", + "CRI-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.888, p=0.003\n", + "CRI-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.906, p=0.009\n", + "CRI-Refugee population by country or territory of asylum\n", + "Statistical=0.972, p=0.544\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Refugee population by country or territory of origin\n", + "Statistical=0.980, p=0.800\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.930, p=0.040\n", + "CRI-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.930, p=0.040\n", + "CRI-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.866, p=0.001\n", + "CRI-Research and development expenditure (% of GDP)\n", + "Statistical=0.857, p=0.001\n", + "CRI-Researchers in R&D (per million people)\n", + "Statistical=0.927, p=0.032\n", + "CRI-Reserves and related items (BoP, current US$)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.866, p=0.001\n", + "CRI-Rural land area (sq. km)\n", + "Statistical=0.866, p=0.001\n", + "CRI-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.940, p=0.075\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.958, p=0.241\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Rural population\n", + "Statistical=0.930, p=0.040\n", + "CRI-Rural population (% of total population)\n", + "Statistical=0.930, p=0.040\n", + "CRI-Rural population growth (annual %)\n", + "Statistical=0.862, p=0.001\n", + "CRI-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.857, p=0.001\n", + "CRI-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.963, p=0.328\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Scientific and technical journal articles\n", + "Statistical=0.964, p=0.360\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.962, p=0.316\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Secure Internet servers\n", + "Statistical=0.978, p=0.743\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Secure Internet servers (per 1 million people)\n", + "Statistical=0.918, p=0.018\n", + "CRI-Service exports (BoP, current US$)\n", + "Statistical=0.918, p=0.018\n", + "CRI-Service imports (BoP, current US$)\n", + "Statistical=0.867, p=0.001\n", + "CRI-Sex ratio at birth (male births per female births)\n", + "Statistical=0.854, p=0.001\n", + "CRI-Social contributions (% of revenue)\n", + "Statistical=0.888, p=0.003\n", + "CRI-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Start-up procedures to register a business (number)\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.870, p=0.001\n", + "CRI-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.879, p=0.002\n", + "CRI-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.925, p=0.028\n", + "CRI-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.925, p=0.028\n", + "CRI-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.867, p=0.001\n", + "CRI-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.855, p=0.001\n", + "CRI-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.632, p=0.000\n", + "CRI-Surface area (sq. km)\n", + "Statistical=0.690, p=0.000\n", + "CRI-Tax payments (number)\n", + "Statistical=0.855, p=0.001\n", + "CRI-Tax revenue (% of GDP)\n", + "Statistical=0.962, p=0.306\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Taxes less subsidies on products (current US$)\n", + "Statistical=0.912, p=0.013\n", + "CRI-Taxes on goods and services (% of revenue)\n", + "Statistical=0.912, p=0.013\n", + "CRI-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.873, p=0.001\n", + "CRI-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.863, p=0.001\n", + "CRI-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.891, p=0.004\n", + "CRI-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.973, p=0.597\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Time required to build a warehouse (days)\n", + "Statistical=0.912, p=0.013\n", + "CRI-Time required to enforce a contract (days)\n", + "Statistical=0.912, p=0.013\n", + "CRI-Time required to get electricity (days)\n", + "Statistical=0.954, p=0.183\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Time required to register property (days)\n", + "Statistical=0.873, p=0.001\n", + "CRI-Time required to start a business (days)\n", + "Statistical=0.644, p=0.000\n", + "CRI-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.679, p=0.000\n", + "CRI-Time to obtain an electrical connection (days)\n", + "Statistical=0.674, p=0.000\n", + "CRI-Time to prepare and pay taxes (hours)\n", + "Statistical=0.548, p=0.000\n", + "CRI-Time to resolve insolvency (years)\n", + "Statistical=0.637, p=0.000\n", + "CRI-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.580, p=0.000\n", + "CRI-Total fisheries production (metric tons)\n", + "Statistical=0.680, p=0.000\n", + "CRI-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.611, p=0.000\n", + "CRI-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.649, p=0.000\n", + "CRI-Total natural resources rents (% of GDP)\n", + "Statistical=0.788, p=0.000\n", + "CRI-Total reserves (includes gold, current US$)\n", + "Statistical=0.865, p=0.001\n", + "CRI-Total reserves in months of imports\n", + "Statistical=0.879, p=0.002\n", + "CRI-Total reserves minus gold (current US$)\n", + "Statistical=0.809, p=0.000\n", + "CRI-Total tax and contribution rate (% of profit)\n", + "Statistical=0.936, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Trade (% of GDP)\n", + "Statistical=0.891, p=0.004\n", + "CRI-Trade in services (% of GDP)\n", + "Statistical=0.949, p=0.133\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Transport services (% of commercial service exports)\n", + "Statistical=0.953, p=0.177\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Transport services (% of commercial service imports)\n", + "Statistical=0.903, p=0.008\n", + "CRI-Transport services (% of service exports, BoP)\n", + "Statistical=0.915, p=0.015\n", + "CRI-Transport services (% of service imports, BoP)\n", + "Statistical=0.925, p=0.028\n", + "CRI-Travel services (% of commercial service exports)\n", + "Statistical=0.905, p=0.008\n", + "CRI-Travel services (% of commercial service imports)\n", + "Statistical=0.979, p=0.776\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Travel services (% of service exports, BoP)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Travel services (% of service imports, BoP)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.898, p=0.006\n", + "CRI-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.906, p=0.009\n", + "CRI-UHC service coverage index\n", + "Statistical=0.916, p=0.016\n", + "CRI-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.890, p=0.004\n", + "CRI-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.965, p=0.384\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.944, p=0.096\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Urban land area (sq. km)\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.882, p=0.002\n", + "CRI-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.931, p=0.042\n", + "CRI-Urban population\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Urban population (% of total population)\n", + "Statistical=0.884, p=0.003\n", + "CRI-Urban population growth (annual %)\n", + "Statistical=0.748, p=0.000\n", + "CRI-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.748, p=0.000\n", + "CRI-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.887, p=0.003\n", + "CRI-GDP (current US$)+1\n", + "Statistical=0.887, p=0.003\n", + "CRI-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-GDP (current US$)+2\n", + "Statistical=0.770, p=0.000\n", + "CRI-GDP (current US$)+3\n", + "Statistical=0.606, p=0.000\n", + "CRI-GDP (current US$)+5\n", + "Statistical=0.927, p=0.032\n", + "CRI-GDP (current US$)+8\n", + "Statistical=0.962, p=0.321\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-GDP (current US$)+13\n", + "Statistical=0.906, p=0.009\n", + "CRI-GDP (current US$)+21\n", + "Statistical=0.906, p=0.009\n", + "CRI-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.879, p=0.002\n", + "CRI-Deposit interest rate (%)\n", + "Statistical=0.867, p=0.001\n", + "CRI-Other taxes (% of revenue)\n", + "Statistical=0.960, p=0.278\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.962, p=0.312\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Taxes on international trade (% of revenue)\n", + "Statistical=0.962, p=0.312\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.951, p=0.157\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Broad money (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Broad money growth (annual %)\n", + "Statistical=0.926, p=0.030\n", + "CRI-Broad money to total reserves ratio\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.925, p=0.028\n", + "CRI-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.892, p=0.004\n", + "CRI-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.946, p=0.111\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-External health expenditure (% of current health expenditure)\n", + "Statistical=0.883, p=0.002\n", + "CRI-External health expenditure per capita (current US$)\n", + "Statistical=0.702, p=0.000\n", + "CRI-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.823, p=0.000\n", + "CRI-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.884, p=0.003\n", + "CRI-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.878, p=0.002\n", + "CRI-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "CRI-People practicing open defecation (% of population)\n", + "Statistical=0.908, p=0.010\n", + "CRI-Taxes on exports (% of tax revenue)\n", + "Statistical=0.808, p=0.000\n", + "CRI-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.879, p=0.002\n", + "CRI-Country\n", + "Statistical=0.919, p=0.019\n", + "CRI-Year\n", + "Statistical=0.911, p=0.012\n", + "CRI-Continent\n", + "Statistical=0.920, p=0.020\n", + "USA-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Adjusted net national income (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Adjusted net national income per capita (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Adjusted savings: education expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Adjusted savings: energy depletion (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.616, p=0.000\n", + "USA-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.632, p=0.000\n", + "USA-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.580, p=0.000\n", + "USA-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.626, p=0.000\n", + "USA-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.641, p=0.000\n", + "USA-Age dependency ratio (% of working-age population)\n", + "Statistical=0.620, p=0.000\n", + "USA-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.619, p=0.000\n", + "USA-Agricultural land (% of land area)\n", + "Statistical=0.603, p=0.000\n", + "USA-Agricultural land (sq. km)\n", + "Statistical=0.611, p=0.000\n", + "USA-Agricultural methane emissions (% of total)\n", + "Statistical=0.755, p=0.000\n", + "USA-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.745, p=0.000\n", + "USA-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.764, p=0.000\n", + "USA-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.986, p=0.946\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.943, p=0.089\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.978, p=0.747\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Aquaculture production (metric tons)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Arable land (% of land area)\n", + "Statistical=0.947, p=0.117\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Arable land (hectares per person)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Arable land (hectares)\n", + "Statistical=0.970, p=0.509\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Armed forces personnel (% of total labor force)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.971, p=0.519\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.875, p=0.001\n", + "USA-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.944, p=0.097\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Average precipitation in depth (mm per year)\n", + "Statistical=0.964, p=0.351\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Average time to clear exports through customs (days)\n", + "Statistical=0.931, p=0.042\n", + "USA-Births attended by skilled health staff (% of total)\n", + "Statistical=0.903, p=0.007\n", + "USA-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.942, p=0.086\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.978, p=0.752\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.984, p=0.896\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.975, p=0.646\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-CO2 emissions (kt)\n", + "Statistical=0.933, p=0.047\n", + "USA-CO2 emissions (metric tons per capita)\n", + "Statistical=0.857, p=0.001\n", + "USA-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.974, p=0.621\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.946, p=0.109\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.884, p=0.003\n", + "USA-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Capture fisheries production (metric tons)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Cereal production (metric tons)\n", + "Statistical=0.916, p=0.016\n", + "USA-Cereal yield (kg per hectare)\n", + "Statistical=0.785, p=0.000\n", + "USA-Changes in inventories (current US$)\n", + "Statistical=0.900, p=0.006\n", + "USA-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.774, p=0.000\n", + "USA-Children out of school (% of primary school age)\n", + "Statistical=0.905, p=0.008\n", + "USA-Coal rents (% of GDP)\n", + "Statistical=0.907, p=0.010\n", + "USA-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.853, p=0.000\n", + "USA-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.743, p=0.000\n", + "USA-Commercial service exports (current US$)\n", + "Statistical=0.753, p=0.000\n", + "USA-Commercial service imports (current US$)\n", + "Statistical=0.963, p=0.332\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Completeness of birth registration (%)\n", + "Statistical=0.825, p=0.000\n", + "USA-Consumer price index (2010 = 100)\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.856, p=0.001\n", + "USA-Crop production index (2014-2016 = 100)\n", + "Statistical=0.866, p=0.001\n", + "USA-Current account balance (% of GDP)\n", + "Statistical=0.886, p=0.003\n", + "USA-Current account balance (BoP, current US$)\n", + "Statistical=0.966, p=0.400\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Current health expenditure (% of GDP)\n", + "Statistical=0.912, p=0.013\n", + "USA-Current health expenditure per capita (current US$)\n", + "Statistical=0.912, p=0.013\n", + "USA-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.874, p=0.001\n", + "USA-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.874, p=0.001\n", + "USA-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.890, p=0.003\n", + "USA-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.860, p=0.001\n", + "USA-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.977, p=0.703\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.886, p=0.003\n", + "USA-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.887, p=0.003\n", + "USA-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.739, p=0.000\n", + "USA-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.866, p=0.001\n", + "USA-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.782, p=0.000\n", + "USA-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.883, p=0.002\n", + "USA-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.883, p=0.002\n", + "USA-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.984, p=0.912\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Electric power consumption (kWh per capita)\n", + "Statistical=0.865, p=0.001\n", + "USA-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.885, p=0.003\n", + "USA-Electricity production from coal sources (% of total)\n", + "Statistical=0.865, p=0.001\n", + "USA-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.885, p=0.003\n", + "USA-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.925, p=0.029\n", + "USA-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.974, p=0.611\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Electricity production from oil sources (% of total)\n", + "Statistical=0.961, p=0.298\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.683, p=0.000\n", + "USA-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Energy use (kg of oil equivalent per capita)\n", + "Statistical=0.637, p=0.000\n", + "USA-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.959, p=0.263\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Export unit value index (2000 = 100)\n", + "Statistical=0.849, p=0.000\n", + "USA-Export value index (2000 = 100)\n", + "Statistical=0.912, p=0.013\n", + "USA-Export volume index (2000 = 100)\n", + "Statistical=0.778, p=0.000\n", + "USA-Exports of goods and services (% of GDP)\n", + "Statistical=0.795, p=0.000\n", + "USA-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.914, p=0.014\n", + "USA-Exports of goods and services (current US$)\n", + "Statistical=0.920, p=0.021\n", + "USA-External balance on goods and services (% of GDP)\n", + "Statistical=0.962, p=0.309\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-External balance on goods and services (current US$)\n", + "Statistical=0.950, p=0.142\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.914, p=0.014\n", + "USA-Final consumption expenditure (% of GDP)\n", + "Statistical=0.914, p=0.014\n", + "USA-Final consumption expenditure (current US$)\n", + "Statistical=0.917, p=0.017\n", + "USA-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.875, p=0.001\n", + "USA-Firms offering formal training (% of firms)\n", + "Statistical=0.853, p=0.000\n", + "USA-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.907, p=0.010\n", + "USA-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.805, p=0.000\n", + "USA-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.904, p=0.008\n", + "USA-Fixed broadband subscriptions\n", + "Statistical=0.903, p=0.007\n", + "USA-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.932, p=0.045\n", + "USA-Fixed telephone subscriptions\n", + "Statistical=0.821, p=0.000\n", + "USA-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.903, p=0.007\n", + "USA-Food exports (% of merchandise exports)\n", + "Statistical=0.970, p=0.498\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Food imports (% of merchandise imports)\n", + "Statistical=0.811, p=0.000\n", + "USA-Food production index (2014-2016 = 100)\n", + "Statistical=0.885, p=0.003\n", + "USA-Forest area (% of land area)\n", + "Statistical=0.899, p=0.006\n", + "USA-Forest area (sq. km)\n", + "Statistical=0.877, p=0.002\n", + "USA-Forest rents (% of GDP)\n", + "Statistical=0.942, p=0.087\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.534, p=0.000\n", + "USA-Fuel exports (% of merchandise exports)\n", + "Statistical=0.859, p=0.001\n", + "USA-Fuel imports (% of merchandise imports)\n", + "Statistical=0.845, p=0.000\n", + "USA-GDP (current US$)\n", + "Statistical=0.962, p=0.306\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-GDP deflator (base year varies by country)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.945, p=0.103\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-GDP growth (annual %)\n", + "Statistical=0.945, p=0.103\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-GDP per capita (current US$)\n", + "Statistical=0.922, p=0.023\n", + "USA-GDP per capita growth (annual %)\n", + "Statistical=0.865, p=0.001\n", + "USA-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.816, p=0.000\n", + "USA-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.775, p=0.000\n", + "USA-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.733, p=0.000\n", + "USA-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.801, p=0.000\n", + "USA-GNI (current US$)\n", + "Statistical=0.771, p=0.000\n", + "USA-GNI growth (annual %)\n", + "Statistical=0.734, p=0.000\n", + "USA-GNI per capita growth (annual %)\n", + "Statistical=0.798, p=0.000\n", + "USA-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.949, p=0.135\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-General government final consumption expenditure (current US$)\n", + "Statistical=0.871, p=0.001\n", + "USA-Gini index\n", + "Statistical=0.976, p=0.690\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Goods exports (BoP, current US$)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Goods imports (BoP, current US$)\n", + "Statistical=0.855, p=0.001\n", + "USA-Grants and other revenue (% of revenue)\n", + "Statistical=0.889, p=0.003\n", + "USA-Gross capital formation (% of GDP)\n", + "Statistical=0.901, p=0.007\n", + "USA-Gross capital formation (current US$)\n", + "Statistical=0.915, p=0.016\n", + "USA-Gross domestic savings (% of GDP)\n", + "Statistical=0.925, p=0.029\n", + "USA-Gross domestic savings (current US$)\n", + "Statistical=0.866, p=0.001\n", + "USA-Gross fixed capital formation (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Gross fixed capital formation (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Gross national expenditure (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.896, p=0.005\n", + "USA-Gross savings (% of GDP)\n", + "Statistical=0.911, p=0.012\n", + "USA-Gross savings (current US$)\n", + "Statistical=0.954, p=0.192\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.858, p=0.001\n", + "USA-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.970, p=0.489\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-High-technology exports (% of manufactured exports)\n", + "Statistical=0.965, p=0.367\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-High-technology exports (current US$)\n", + "Statistical=0.872, p=0.001\n", + "USA-Hospital beds (per 1,000 people)\n", + "Statistical=0.885, p=0.003\n", + "USA-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.885, p=0.003\n", + "USA-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.531, p=0.000\n", + "USA-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.531, p=0.000\n", + "USA-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.531, p=0.000\n", + "USA-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.979, p=0.772\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.949, p=0.139\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.957, p=0.232\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=0.485, p=0.000\n", + "USA-ICT goods exports (% of total goods exports)\n", + "Statistical=0.485, p=0.000\n", + "USA-ICT goods imports (% total goods imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.818, p=0.000\n", + "USA-ICT service exports (BoP, current US$)\n", + "Statistical=0.861, p=0.001\n", + "USA-Import unit value index (2000 = 100)\n", + "Statistical=0.861, p=0.001\n", + "USA-Import value index (2000 = 100)\n", + "Statistical=0.904, p=0.008\n", + "USA-Import volume index (2000 = 100)\n", + "Statistical=0.841, p=0.000\n", + "USA-Imports of goods and services (% of GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.918, p=0.018\n", + "USA-Imports of goods and services (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "USA-Income share held by highest 10%\n", + "Statistical=0.912, p=0.013\n", + "USA-Income share held by highest 20%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Income share held by lowest 10%\n", + "Statistical=0.908, p=0.010\n", + "USA-Income share held by lowest 20%\n", + "Statistical=0.974, p=0.603\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Income share held by second 20%\n", + "Statistical=0.827, p=0.000\n", + "USA-Income share held by third 20%\n", + "Statistical=0.804, p=0.000\n", + "USA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.818, p=0.000\n", + "USA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.853, p=0.000\n", + "USA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.853, p=0.000\n", + "USA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.804, p=0.000\n", + "USA-Individuals using the Internet (% of population)\n", + "Statistical=0.866, p=0.001\n", + "USA-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.866, p=0.001\n", + "USA-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.484, p=0.000\n", + "USA-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.803, p=0.000\n", + "USA-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.790, p=0.000\n", + "USA-Intentional homicides (per 100,000 people)\n", + "Statistical=0.798, p=0.000\n", + "USA-Interest payments (% of revenue)\n", + "Statistical=0.800, p=0.000\n", + "USA-International migrant stock (% of population)\n", + "Statistical=0.793, p=0.000\n", + "USA-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=0.799, p=0.000\n", + "USA-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=0.968, p=0.452\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=0.748, p=0.000\n", + "USA-Labor tax and contributions (% of commercial profits)\n", + "Statistical=0.951, p=0.150\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Land area (sq. km)\n", + "Statistical=0.797, p=0.000\n", + "USA-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.772, p=0.000\n", + "USA-Land under cereal production (hectares)\n", + "Statistical=0.787, p=0.000\n", + "USA-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.919, p=0.020\n", + "USA-Lifetime risk of maternal death (%)\n", + "Statistical=0.839, p=0.000\n", + "USA-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.805, p=0.000\n", + "USA-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.902, p=0.007\n", + "USA-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.870, p=0.001\n", + "USA-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=0.956, p=0.208\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.841, p=0.000\n", + "USA-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.903, p=0.007\n", + "USA-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.754, p=0.000\n", + "USA-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.764, p=0.000\n", + "USA-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Low-birthweight babies (% of births)\n", + "Statistical=0.933, p=0.047\n", + "USA-Lower secondary school starting age (years)\n", + "Statistical=0.853, p=0.000\n", + "USA-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.894, p=0.004\n", + "USA-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.851, p=0.000\n", + "USA-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.836, p=0.000\n", + "USA-Marine protected areas (% of territorial waters)\n", + "Statistical=0.824, p=0.000\n", + "USA-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.825, p=0.000\n", + "USA-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.833, p=0.000\n", + "USA-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.823, p=0.000\n", + "USA-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.833, p=0.000\n", + "USA-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Merchandise exports (current US$)\n", + "Statistical=0.892, p=0.004\n", + "USA-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=0.895, p=0.005\n", + "USA-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.941, p=0.081\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.931, p=0.041\n", + "USA-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.926, p=0.030\n", + "USA-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=0.935, p=0.055\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.885, p=0.003\n", + "USA-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=0.913, p=0.013\n", + "USA-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.901, p=0.007\n", + "USA-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=0.917, p=0.017\n", + "USA-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.903, p=0.007\n", + "USA-Merchandise imports (current US$)\n", + "Statistical=0.847, p=0.000\n", + "USA-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.896, p=0.005\n", + "USA-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.812, p=0.000\n", + "USA-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.898, p=0.005\n", + "USA-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.540, p=0.000\n", + "USA-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.956, p=0.215\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.884, p=0.002\n", + "USA-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.926, p=0.030\n", + "USA-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=0.945, p=0.106\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.924, p=0.026\n", + "USA-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.897, p=0.005\n", + "USA-Merchandise trade (% of GDP)\n", + "Statistical=0.972, p=0.558\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Methane emissions (% change from 1990)\n", + "Statistical=0.928, p=0.035\n", + "USA-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=0.928, p=0.035\n", + "USA-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.901, p=0.006\n", + "USA-Military expenditure (% of GDP)\n", + "Statistical=0.901, p=0.006\n", + "USA-Military expenditure (% of general government expenditure)\n", + "Statistical=0.896, p=0.005\n", + "USA-Military expenditure (current USD)\n", + "Statistical=0.949, p=0.138\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Mineral rents (% of GDP)\n", + "Statistical=0.913, p=0.014\n", + "USA-Mobile cellular subscriptions\n", + "Statistical=0.899, p=0.006\n", + "USA-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.899, p=0.006\n", + "USA-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Natural gas rents (% of GDP)\n", + "Statistical=0.890, p=0.004\n", + "USA-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.840, p=0.000\n", + "USA-Net capital account (BoP, current US$)\n", + "Statistical=0.933, p=0.047\n", + "USA-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.959, p=0.255\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Net financial account (BoP, current US$)\n", + "Statistical=0.951, p=0.153\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Net migration\n", + "Statistical=0.931, p=0.042\n", + "USA-Net primary income (BoP, current US$)\n", + "Statistical=0.931, p=0.042\n", + "USA-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Net secondary income (BoP, current US$)\n", + "Statistical=0.937, p=0.061\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Net trade in goods (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Net trade in goods and services (BoP, current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-New businesses registered (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.844, p=0.000\n", + "USA-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.832, p=0.000\n", + "USA-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.959, p=0.264\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Number of deaths ages 10-14 years\n", + "Statistical=0.931, p=0.041\n", + "USA-Number of deaths ages 15-19 years\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Number of deaths ages 20-24 years\n", + "Statistical=0.962, p=0.304\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Number of deaths ages 5-9 years\n", + "Statistical=0.963, p=0.322\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Number of infant deaths\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Number of maternal deaths\n", + "Statistical=0.953, p=0.176\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Number of neonatal deaths\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Number of under-five deaths\n", + "Statistical=0.963, p=0.328\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.981, p=0.830\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.965, p=0.376\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Oil rents (% of GDP)\n", + "Statistical=0.838, p=0.000\n", + "USA-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.846, p=0.000\n", + "USA-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.853, p=0.000\n", + "USA-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.821, p=0.000\n", + "USA-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.845, p=0.000\n", + "USA-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.916, p=0.017\n", + "USA-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-People using at least basic drinking water services (% of population)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-People using at least basic sanitation services (% of population)\n", + "Statistical=0.944, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-People using safely managed sanitation services (% of population)\n", + "Statistical=0.944, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Permanent cropland (% of land area)\n", + "Statistical=0.972, p=0.567\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Physicians (per 1,000 people)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Population ages 0-14 (% of total population)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Population ages 15-64 (% of total population)\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Population ages 65 and above (% of total population)\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Population density (people per sq. km of land area)\n", + "Statistical=0.952, p=0.168\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Population growth (annual %)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Population in largest city\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Population in the largest city (% of urban population)\n", + "Statistical=0.930, p=0.039\n", + "USA-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.895, p=0.005\n", + "USA-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.901, p=0.007\n", + "USA-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=0.794, p=0.000\n", + "USA-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.944, p=0.099\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.944, p=0.099\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.941, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.941, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.975, p=0.654\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Prevalence of undernourishment (% of population)\n", + "Statistical=0.944, p=0.099\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.982, p=0.858\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Primary income payments (BoP, current US$)\n", + "Statistical=0.941, p=0.079\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Primary income receipts (BoP, current US$)\n", + "Statistical=0.937, p=0.063\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Primary school starting age (years)\n", + "Statistical=0.944, p=0.099\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Private credit bureau coverage (% of adults)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.944, p=0.099\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.941, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.941, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.944, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Procedures to build a warehouse (number)\n", + "Statistical=0.978, p=0.749\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Procedures to register property (number)\n", + "Statistical=0.883, p=0.002\n", + "USA-Profit tax (% of commercial profits)\n", + "Statistical=0.883, p=0.002\n", + "USA-Progression to secondary school (%)\n", + "Statistical=0.912, p=0.013\n", + "USA-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.912, p=0.013\n", + "USA-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.933, p=0.048\n", + "USA-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.899, p=0.006\n", + "USA-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.896, p=0.005\n", + "USA-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Public credit registry coverage (% of adults)\n", + "Statistical=0.637, p=0.000\n", + "USA-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=0.648, p=0.000\n", + "USA-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.731, p=0.000\n", + "USA-Rail lines (total route-km)\n", + "Statistical=0.948, p=0.130\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.868, p=0.001\n", + "USA-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Refugee population by country or territory of asylum\n", + "Statistical=0.969, p=0.477\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Refugee population by country or territory of origin\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.954, p=0.191\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.954, p=0.191\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.957, p=0.224\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Research and development expenditure (% of GDP)\n", + "Statistical=0.957, p=0.224\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Researchers in R&D (per million people)\n", + "Statistical=0.948, p=0.124\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Reserves and related items (BoP, current US$)\n", + "Statistical=0.959, p=0.255\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.925, p=0.029\n", + "USA-Rural land area (sq. km)\n", + "Statistical=0.925, p=0.029\n", + "USA-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.975, p=0.640\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.951, p=0.154\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Rural population\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Rural population (% of total population)\n", + "Statistical=0.948, p=0.127\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Rural population growth (annual %)\n", + "Statistical=0.953, p=0.180\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.953, p=0.180\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.784, p=0.000\n", + "USA-Scientific and technical journal articles\n", + "Statistical=0.674, p=0.000\n", + "USA-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.494, p=0.000\n", + "USA-Secure Internet servers\n", + "Statistical=0.955, p=0.203\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Secure Internet servers (per 1 million people)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Service exports (BoP, current US$)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Service imports (BoP, current US$)\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Sex ratio at birth (male births per female births)\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Social contributions (% of revenue)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.951, p=0.157\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Start-up procedures to register a business (number)\n", + "Statistical=0.979, p=0.782\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.918, p=0.019\n", + "USA-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.918, p=0.019\n", + "USA-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=0.931, p=0.042\n", + "USA-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=0.931, p=0.042\n", + "USA-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.842, p=0.000\n", + "USA-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.703, p=0.000\n", + "USA-Surface area (sq. km)\n", + "Statistical=0.723, p=0.000\n", + "USA-Tax payments (number)\n", + "Statistical=0.855, p=0.001\n", + "USA-Tax revenue (% of GDP)\n", + "Statistical=0.971, p=0.520\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Taxes less subsidies on products (current US$)\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Taxes on goods and services (% of revenue)\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.925, p=0.028\n", + "USA-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.956, p=0.218\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data is NORMAL ( H0 not denied )\n", + "USA-Time required to build a warehouse (days)\n", + "Statistical=0.939, p=0.068\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Time required to enforce a contract (days)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Time required to get electricity (days)\n", + "Statistical=0.889, p=0.003\n", + "USA-Time required to register property (days)\n", + "Statistical=0.941, p=0.078\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Time required to start a business (days)\n", + "Statistical=0.630, p=0.000\n", + "USA-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.674, p=0.000\n", + "USA-Time to obtain an electrical connection (days)\n", + "Statistical=0.672, p=0.000\n", + "USA-Time to prepare and pay taxes (hours)\n", + "Statistical=0.676, p=0.000\n", + "USA-Time to resolve insolvency (years)\n", + "Statistical=0.633, p=0.000\n", + "USA-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.631, p=0.000\n", + "USA-Total fisheries production (metric tons)\n", + "Statistical=0.623, p=0.000\n", + "USA-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.639, p=0.000\n", + "USA-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.631, p=0.000\n", + "USA-Total natural resources rents (% of GDP)\n", + "Statistical=0.797, p=0.000\n", + "USA-Total reserves (includes gold, current US$)\n", + "Statistical=0.869, p=0.001\n", + "USA-Total reserves in months of imports\n", + "Statistical=0.942, p=0.083\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Total reserves minus gold (current US$)\n", + "Statistical=0.887, p=0.003\n", + "USA-Total tax and contribution rate (% of profit)\n", + "Statistical=0.835, p=0.000\n", + "USA-Trade (% of GDP)\n", + "Statistical=0.804, p=0.000\n", + "USA-Trade in services (% of GDP)\n", + "Statistical=0.896, p=0.005\n", + "USA-Transport services (% of commercial service exports)\n", + "Statistical=0.961, p=0.301\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Transport services (% of commercial service imports)\n", + "Statistical=0.896, p=0.005\n", + "USA-Transport services (% of service exports, BoP)\n", + "Statistical=0.915, p=0.015\n", + "USA-Transport services (% of service imports, BoP)\n", + "Statistical=0.959, p=0.259\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Travel services (% of commercial service exports)\n", + "Statistical=0.897, p=0.005\n", + "USA-Travel services (% of commercial service imports)\n", + "Statistical=0.957, p=0.223\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Travel services (% of service exports, BoP)\n", + "Statistical=0.930, p=0.040\n", + "USA-Travel services (% of service imports, BoP)\n", + "Statistical=0.930, p=0.040\n", + "USA-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.897, p=0.005\n", + "USA-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.897, p=0.005\n", + "USA-UHC service coverage index\n", + "Statistical=0.900, p=0.006\n", + "USA-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.844, p=0.000\n", + "USA-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.943, p=0.091\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.945, p=0.101\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Urban land area (sq. km)\n", + "Statistical=0.915, p=0.016\n", + "USA-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.870, p=0.001\n", + "USA-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.907, p=0.009\n", + "USA-Urban population\n", + "Statistical=0.915, p=0.015\n", + "USA-Urban population (% of total population)\n", + "Statistical=0.899, p=0.006\n", + "USA-Urban population growth (annual %)\n", + "Statistical=0.645, p=0.000\n", + "USA-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.645, p=0.000\n", + "USA-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.644, p=0.000\n", + "USA-GDP (current US$)+1\n", + "Statistical=0.644, p=0.000\n", + "USA-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=0.862, p=0.001\n", + "USA-GDP (current US$)+2\n", + "Statistical=0.890, p=0.004\n", + "USA-GDP (current US$)+3\n", + "Statistical=0.920, p=0.020\n", + "USA-GDP (current US$)+5\n", + "Statistical=0.876, p=0.002\n", + "USA-GDP (current US$)+8\n", + "Statistical=0.891, p=0.004\n", + "USA-GDP (current US$)+13\n", + "Statistical=0.918, p=0.018\n", + "USA-GDP (current US$)+21\n", + "Statistical=0.918, p=0.018\n", + "USA-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.890, p=0.003\n", + "USA-Deposit interest rate (%)\n", + "Statistical=0.890, p=0.003\n", + "USA-Other taxes (% of revenue)\n", + "Statistical=0.846, p=0.000\n", + "USA-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.973, p=0.596\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Taxes on international trade (% of revenue)\n", + "Statistical=0.973, p=0.596\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.978, p=0.741\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Broad money (% of GDP)\n", + "Statistical=0.869, p=0.001\n", + "USA-Broad money growth (annual %)\n", + "Statistical=0.861, p=0.001\n", + "USA-Broad money to total reserves ratio\n", + "Statistical=0.868, p=0.001\n", + "USA-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.857, p=0.001\n", + "USA-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.806, p=0.000\n", + "USA-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.961, p=0.300\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-External health expenditure (% of current health expenditure)\n", + "Statistical=0.933, p=0.047\n", + "USA-External health expenditure per capita (current US$)\n", + "Statistical=0.677, p=0.000\n", + "USA-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.856, p=0.001\n", + "USA-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.886, p=0.003\n", + "USA-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.902, p=0.007\n", + "USA-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.930, p=0.040\n", + "USA-People practicing open defecation (% of population)\n", + "Statistical=0.887, p=0.003\n", + "USA-Taxes on exports (% of tax revenue)\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "USA-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.795, p=0.000\n", + "USA-Country\n", + "Statistical=0.908, p=0.010\n", + "USA-Year\n", + "Statistical=0.811, p=0.000\n", + "USA-Continent\n", + "Statistical=0.881, p=0.002\n", + "CHN-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Adjusted net national income (current US$)\n", + "Statistical=0.804, p=0.000\n", + "CHN-Adjusted net national income per capita (current US$)\n", + "Statistical=0.753, p=0.000\n", + "CHN-Adjusted savings: carbon dioxide damage (current US$)\n", + "Statistical=0.802, p=0.000\n", + "CHN-Adjusted savings: consumption of fixed capital (current US$)\n", + "Statistical=0.783, p=0.000\n", + "CHN-Adjusted savings: education expenditure (current US$)\n", + "Statistical=0.786, p=0.000\n", + "CHN-Adjusted savings: energy depletion (current US$)\n", + "Statistical=0.599, p=0.000\n", + "CHN-Adjusted savings: mineral depletion (current US$)\n", + "Statistical=0.610, p=0.000\n", + "CHN-Adjusted savings: net national savings (current US$)\n", + "Statistical=0.603, p=0.000\n", + "CHN-Adjusted savings: particulate emission damage (current US$)\n", + "Statistical=0.615, p=0.000\n", + "CHN-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", + "Statistical=0.607, p=0.000\n", + "CHN-Adolescents out of school (% of lower secondary school age)\n", + "Statistical=0.628, p=0.000\n", + "CHN-Age dependency ratio (% of working-age population)\n", + "Statistical=0.615, p=0.000\n", + "CHN-Agricultural irrigated land (% of total agricultural land)\n", + "Statistical=0.619, p=0.000\n", + "CHN-Agricultural land (% of land area)\n", + "Statistical=0.620, p=0.000\n", + "CHN-Agricultural land (sq. km)\n", + "Statistical=0.606, p=0.000\n", + "CHN-Agricultural methane emissions (% of total)\n", + "Statistical=0.506, p=0.000\n", + "CHN-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.494, p=0.000\n", + "CHN-Agricultural nitrous oxide emissions (% of total)\n", + "Statistical=0.511, p=0.000\n", + "CHN-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.924, p=0.027\n", + "CHN-Agricultural raw materials exports (% of merchandise exports)\n", + "Statistical=0.862, p=0.001\n", + "CHN-Agricultural raw materials imports (% of merchandise imports)\n", + "Statistical=0.824, p=0.000\n", + "CHN-Alternative and nuclear energy (% of total energy use)\n", + "Statistical=0.932, p=0.046\n", + "CHN-Aquaculture production (metric tons)\n", + "Statistical=0.864, p=0.001\n", + "CHN-Arable land (% of land area)\n", + "Statistical=0.828, p=0.000\n", + "CHN-Arable land (hectares per person)\n", + "Statistical=0.981, p=0.830\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Arable land (hectares)\n", + "Statistical=0.829, p=0.000\n", + "CHN-Armed forces personnel (% of total labor force)\n", + "Statistical=0.978, p=0.735\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Arms exports (SIPRI trend indicator values)\n", + "Statistical=0.829, p=0.000\n", + "CHN-Arms imports (SIPRI trend indicator values)\n", + "Statistical=0.910, p=0.011\n", + "CHN-Automated teller machines (ATMs) (per 100,000 adults)\n", + "Statistical=0.860, p=0.001\n", + "CHN-Average precipitation in depth (mm per year)\n", + "Statistical=0.871, p=0.001\n", + "CHN-Average time to clear exports through customs (days)\n", + "Statistical=0.789, p=0.000\n", + "CHN-Births attended by skilled health staff (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", + "Statistical=0.822, p=0.000\n", + "CHN-CO2 emissions (kg per 2015 US$ of GDP)\n", + "Statistical=0.929, p=0.037\n", + "CHN-CO2 emissions (kg per 2017 PPP $ of GDP)\n", + "Statistical=0.870, p=0.001\n", + "CHN-CO2 emissions (kg per PPP $ of GDP)\n", + "Statistical=0.959, p=0.251\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-CO2 emissions (kt)\n", + "Statistical=0.887, p=0.003\n", + "CHN-CO2 emissions (metric tons per capita)\n", + "Statistical=0.837, p=0.000\n", + "CHN-CO2 emissions from gaseous fuel consumption (% of total)\n", + "Statistical=0.891, p=0.004\n", + "CHN-CO2 emissions from gaseous fuel consumption (kt)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-CO2 emissions from liquid fuel consumption (% of total)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-CO2 emissions from liquid fuel consumption (kt)\n", + "Statistical=0.919, p=0.019\n", + "CHN-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", + "Statistical=0.833, p=0.000\n", + "CHN-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", + "Statistical=0.813, p=0.000\n", + "CHN-CO2 emissions from solid fuel consumption (% of total)\n", + "Statistical=0.818, p=0.000\n", + "CHN-CO2 emissions from solid fuel consumption (kt)\n", + "Statistical=0.755, p=0.000\n", + "CHN-CO2 emissions from transport (% of total fuel combustion)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-CO2 intensity (kg per kg of oil equivalent energy use)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Capture fisheries production (metric tons)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Cereal production (metric tons)\n", + "Statistical=0.880, p=0.002\n", + "CHN-Cereal yield (kg per hectare)\n", + "Statistical=0.882, p=0.002\n", + "CHN-Changes in inventories (current US$)\n", + "Statistical=0.811, p=0.000\n", + "CHN-Chemicals (% of value added in manufacturing)\n", + "Statistical=0.675, p=0.000\n", + "CHN-Children out of school (% of primary school age)\n", + "Statistical=0.818, p=0.000\n", + "CHN-Coal rents (% of GDP)\n", + "Statistical=0.818, p=0.000\n", + "CHN-Combustible renewables and waste (% of total energy)\n", + "Statistical=0.597, p=0.000\n", + "CHN-Commercial bank branches (per 100,000 adults)\n", + "Statistical=0.591, p=0.000\n", + "CHN-Commercial service exports (current US$)\n", + "Statistical=0.791, p=0.000\n", + "CHN-Commercial service imports (current US$)\n", + "Statistical=0.933, p=0.047\n", + "CHN-Completeness of birth registration (%)\n", + "Statistical=0.819, p=0.000\n", + "CHN-Consumer price index (2010 = 100)\n", + "Statistical=0.865, p=0.001\n", + "CHN-Container port traffic (TEU: 20 foot equivalent units)\n", + "Statistical=0.776, p=0.000\n", + "CHN-Crop production index (2014-2016 = 100)\n", + "Statistical=0.971, p=0.534\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Current account balance (% of GDP)\n", + "Statistical=0.893, p=0.004\n", + "CHN-Current account balance (BoP, current US$)\n", + "Statistical=0.964, p=0.352\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Current health expenditure (% of GDP)\n", + "Statistical=0.926, p=0.031\n", + "CHN-Current health expenditure per capita (current US$)\n", + "Statistical=0.926, p=0.031\n", + "CHN-DEC alternative conversion factor (LCU per US$)\n", + "Statistical=0.887, p=0.003\n", + "CHN-Depth of credit information index (0=low to 8=high)\n", + "Statistical=0.841, p=0.000\n", + "CHN-Diabetes prevalence (% of population ages 20 to 79)\n", + "Statistical=0.852, p=0.000\n", + "CHN-Domestic credit to private sector (% of GDP)\n", + "Statistical=0.889, p=0.003\n", + "CHN-Domestic credit to private sector by banks (% of GDP)\n", + "Statistical=0.872, p=0.001\n", + "CHN-Domestic general government health expenditure (% of GDP)\n", + "Statistical=0.893, p=0.004\n", + "CHN-Domestic general government health expenditure (% of current health expenditure)\n", + "Statistical=0.893, p=0.004\n", + "CHN-Domestic general government health expenditure (% of general government expenditure)\n", + "Statistical=0.784, p=0.000\n", + "CHN-Domestic general government health expenditure per capita (current US$)\n", + "Statistical=0.830, p=0.000\n", + "CHN-Domestic private health expenditure (% of current health expenditure)\n", + "Statistical=0.855, p=0.001\n", + "CHN-Domestic private health expenditure per capita (current US$)\n", + "Statistical=0.896, p=0.005\n", + "CHN-Ease of doing business rank (1=most business-friendly regulations)\n", + "Statistical=0.896, p=0.005\n", + "CHN-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", + "Statistical=0.947, p=0.120\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Electric power consumption (kWh per capita)\n", + "Statistical=0.842, p=0.000\n", + "CHN-Electric power transmission and distribution losses (% of output)\n", + "Statistical=0.924, p=0.027\n", + "CHN-Electricity production from coal sources (% of total)\n", + "Statistical=0.842, p=0.000\n", + "CHN-Electricity production from hydroelectric sources (% of total)\n", + "Statistical=0.923, p=0.025\n", + "CHN-Electricity production from natural gas sources (% of total)\n", + "Statistical=0.905, p=0.008\n", + "CHN-Electricity production from nuclear sources (% of total)\n", + "Statistical=0.937, p=0.060\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Electricity production from oil sources (% of total)\n", + "Statistical=0.936, p=0.059\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", + "Statistical=0.701, p=0.000\n", + "CHN-Employment in industry (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Employment in services (% of total employment) (modeled ILO estimate)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Energy related methane emissions (% of total)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Energy use (kg of oil equivalent per capita)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Expenditure on tertiary education (% of government expenditure on education)\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Export unit value index (2000 = 100)\n", + "Statistical=0.850, p=0.000\n", + "CHN-Export value index (2000 = 100)\n", + "Statistical=0.775, p=0.000\n", + "CHN-Export volume index (2000 = 100)\n", + "Statistical=0.757, p=0.000\n", + "CHN-Exports of goods and services (% of GDP)\n", + "Statistical=0.829, p=0.000\n", + "CHN-Exports of goods and services (BoP, current US$)\n", + "Statistical=0.945, p=0.103\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Exports of goods and services (current US$)\n", + "Statistical=0.824, p=0.000\n", + "CHN-External balance on goods and services (% of GDP)\n", + "Statistical=0.917, p=0.018\n", + "CHN-External balance on goods and services (current US$)\n", + "Statistical=0.884, p=0.002\n", + "CHN-Fertilizer consumption (% of fertilizer production)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Fertilizer consumption (kilograms per hectare of arable land)\n", + "Statistical=0.923, p=0.025\n", + "CHN-Final consumption expenditure (% of GDP)\n", + "Statistical=0.923, p=0.025\n", + "CHN-Final consumption expenditure (current US$)\n", + "Statistical=0.881, p=0.002\n", + "CHN-Firms expected to give gifts in meetings with tax officials (% of firms)\n", + "Statistical=0.844, p=0.000\n", + "CHN-Firms offering formal training (% of firms)\n", + "Statistical=0.831, p=0.000\n", + "CHN-Firms using banks to finance investment (% of firms)\n", + "Statistical=0.755, p=0.000\n", + "CHN-Firms using banks to finance working capital (% of firms)\n", + "Statistical=0.798, p=0.000\n", + "CHN-Firms with female participation in ownership (% of firms)\n", + "Statistical=0.790, p=0.000\n", + "CHN-Fixed broadband subscriptions\n", + "Statistical=0.926, p=0.029\n", + "CHN-Fixed broadband subscriptions (per 100 people)\n", + "Statistical=0.900, p=0.006\n", + "CHN-Fixed telephone subscriptions\n", + "Statistical=0.970, p=0.496\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Fixed telephone subscriptions (per 100 people)\n", + "Statistical=0.763, p=0.000\n", + "CHN-Food exports (% of merchandise exports)\n", + "Statistical=0.803, p=0.000\n", + "CHN-Food imports (% of merchandise imports)\n", + "Statistical=0.899, p=0.006\n", + "CHN-Food production index (2014-2016 = 100)\n", + "Statistical=0.828, p=0.000\n", + "CHN-Forest area (% of land area)\n", + "Statistical=0.817, p=0.000\n", + "CHN-Forest area (sq. km)\n", + "Statistical=0.849, p=0.000\n", + "CHN-Forest rents (% of GDP)\n", + "Statistical=0.902, p=0.007\n", + "CHN-Fossil fuel energy consumption (% of total)\n", + "Statistical=0.828, p=0.000\n", + "CHN-Fuel exports (% of merchandise exports)\n", + "Statistical=0.832, p=0.000\n", + "CHN-Fuel imports (% of merchandise imports)\n", + "Statistical=0.843, p=0.000\n", + "CHN-GDP (current US$)\n", + "Statistical=0.864, p=0.001\n", + "CHN-GDP deflator (base year varies by country)\n", + "Statistical=0.924, p=0.027\n", + "CHN-GDP deflator: linked series (base year varies by country)\n", + "Statistical=0.891, p=0.004\n", + "CHN-GDP growth (annual %)\n", + "Statistical=0.875, p=0.002\n", + "CHN-GDP per capita (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-GDP per capita growth (annual %)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-GDP per person employed (constant 2017 PPP $)\n", + "Statistical=0.882, p=0.002\n", + "CHN-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", + "Statistical=0.506, p=0.000\n", + "CHN-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", + "Statistical=0.494, p=0.000\n", + "CHN-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", + "Statistical=0.511, p=0.000\n", + "CHN-GNI (current US$)\n", + "Statistical=0.520, p=0.000\n", + "CHN-GNI growth (annual %)\n", + "Statistical=0.515, p=0.000\n", + "CHN-GNI per capita growth (annual %)\n", + "Statistical=0.522, p=0.000\n", + "CHN-General government final consumption expenditure (% of GDP)\n", + "Statistical=0.934, p=0.052\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-General government final consumption expenditure (current US$)\n", + "Statistical=0.909, p=0.010\n", + "CHN-Gini index\n", + "Statistical=0.877, p=0.002\n", + "CHN-Goods exports (BoP, current US$)\n", + "Statistical=0.856, p=0.001\n", + "CHN-Goods imports (BoP, current US$)\n", + "Statistical=0.844, p=0.000\n", + "CHN-Grants and other revenue (% of revenue)\n", + "Statistical=0.566, p=0.000\n", + "CHN-Gross capital formation (% of GDP)\n", + "Statistical=0.892, p=0.004\n", + "CHN-Gross capital formation (current US$)\n", + "Statistical=0.831, p=0.000\n", + "CHN-Gross domestic savings (% of GDP)\n", + "Statistical=0.946, p=0.114\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Gross domestic savings (current US$)\n", + "Statistical=0.952, p=0.163\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Gross fixed capital formation (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Gross fixed capital formation (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Gross national expenditure (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Gross national expenditure (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Gross national expenditure deflator (base year varies by country)\n", + "Statistical=0.945, p=0.102\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Gross savings (% of GDP)\n", + "Statistical=0.949, p=0.139\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Gross savings (current US$)\n", + "Statistical=0.945, p=0.101\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Gross value added at basic prices (GVA) (current US$)\n", + "Statistical=0.828, p=0.000\n", + "CHN-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.907, p=0.010\n", + "CHN-High-technology exports (% of manufactured exports)\n", + "Statistical=0.938, p=0.067\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-High-technology exports (current US$)\n", + "Statistical=0.928, p=0.035\n", + "CHN-Hospital beds (per 1,000 people)\n", + "Statistical=0.915, p=0.015\n", + "CHN-Households and NPISHs Final consumption expenditure (current US$)\n", + "Statistical=0.923, p=0.025\n", + "CHN-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", + "Statistical=0.567, p=0.000\n", + "CHN-Households and NPISHs final consumption expenditure (% of GDP)\n", + "Statistical=0.567, p=0.000\n", + "CHN-Human capital index (HCI) (scale 0-1)\n", + "Statistical=0.567, p=0.000\n", + "CHN-Human capital index (HCI), female (scale 0-1)\n", + "Statistical=0.398, p=0.000\n", + "CHN-Human capital index (HCI), female, lower bound (scale 0-1)\n", + "Statistical=0.391, p=0.000\n", + "CHN-Human capital index (HCI), female, upper bound (scale 0-1)\n", + "Statistical=0.397, p=0.000\n", + "CHN-Human capital index (HCI), lower bound (scale 0-1)\n", + "Statistical=0.391, p=0.000\n", + "CHN-Human capital index (HCI), male (scale 0-1)\n", + "Statistical=0.936, p=0.058\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Human capital index (HCI), male, lower bound (scale 0-1)\n", + "Statistical=0.938, p=0.065\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Human capital index (HCI), male, upper bound (scale 0-1)\n", + "Statistical=0.880, p=0.002\n", + "CHN-Human capital index (HCI), upper bound (scale 0-1)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-ICT goods exports (% of total goods exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-ICT goods imports (% total goods imports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-ICT service exports (% of service exports, BoP)\n", + "Statistical=0.929, p=0.036\n", + "CHN-ICT service exports (BoP, current US$)\n", + "Statistical=0.771, p=0.000\n", + "CHN-Import unit value index (2000 = 100)\n", + "Statistical=0.800, p=0.000\n", + "CHN-Import value index (2000 = 100)\n", + "Statistical=0.785, p=0.000\n", + "CHN-Import volume index (2000 = 100)\n", + "Statistical=0.730, p=0.000\n", + "CHN-Imports of goods and services (% of GDP)\n", + "Statistical=0.885, p=0.003\n", + "CHN-Imports of goods and services (BoP, current US$)\n", + "Statistical=0.827, p=0.000\n", + "CHN-Imports of goods and services (current US$)\n", + "Statistical=0.756, p=0.000\n", + "CHN-Incidence of tuberculosis (per 100,000 people)\n", + "Statistical=0.478, p=0.000\n", + "CHN-Income share held by fourth 20%\n", + "Statistical=0.628, p=0.000\n", + "CHN-Income share held by highest 10%\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Income share held by highest 20%\n", + "Statistical=0.923, p=0.025\n", + "CHN-Income share held by lowest 10%\n", + "Statistical=0.925, p=0.029\n", + "CHN-Income share held by lowest 20%\n", + "Statistical=0.928, p=0.035\n", + "CHN-Income share held by second 20%\n", + "Statistical=0.789, p=0.000\n", + "CHN-Income share held by third 20%\n", + "Statistical=0.791, p=0.000\n", + "CHN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.850, p=0.000\n", + "CHN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.761, p=0.000\n", + "CHN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", + "Statistical=0.789, p=0.000\n", + "CHN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", + "Statistical=0.792, p=0.000\n", + "CHN-Individuals using the Internet (% of population)\n", + "Statistical=0.781, p=0.000\n", + "CHN-Industry (including construction), value added (% of GDP)\n", + "Statistical=0.804, p=0.000\n", + "CHN-Industry (including construction), value added (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Insurance and financial services (% of commercial service exports)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Insurance and financial services (% of commercial service imports)\n", + "Statistical=0.432, p=0.000\n", + "CHN-Insurance and financial services (% of service exports, BoP)\n", + "Statistical=0.763, p=0.000\n", + "CHN-Insurance and financial services (% of service imports, BoP)\n", + "Statistical=0.763, p=0.000\n", + "CHN-Intentional homicides (per 100,000 people)\n", + "Statistical=0.842, p=0.000\n", + "CHN-Interest payments (% of revenue)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-International migrant stock (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Labor force with advanced education (% of total working-age population with advanced education)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Labor force with basic education (% of total working-age population with basic education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Labor force with intermediate education (% of total working-age population with intermediate education)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Labor tax and contributions (% of commercial profits)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Land area (sq. km)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Land under cereal production (hectares)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", + "Statistical=0.838, p=0.000\n", + "CHN-Lifetime risk of maternal death (%)\n", + "Statistical=0.890, p=0.003\n", + "CHN-Lifetime risk of maternal death (1 in: rate varies by country)\n", + "Statistical=0.917, p=0.017\n", + "CHN-Liner shipping connectivity index (maximum value in 2004 = 100)\n", + "Statistical=0.948, p=0.128\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Livestock production index (2014-2016 = 100)\n", + "Statistical=0.796, p=0.000\n", + "CHN-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", + "Statistical=0.838, p=0.000\n", + "CHN-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", + "Statistical=0.835, p=0.000\n", + "CHN-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", + "Statistical=0.873, p=0.001\n", + "CHN-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", + "Statistical=0.742, p=0.000\n", + "CHN-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", + "Statistical=0.707, p=0.000\n", + "CHN-Logistics performance index: Overall (1=low to 5=high)\n", + "Statistical=0.846, p=0.000\n", + "CHN-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", + "Statistical=0.871, p=0.001\n", + "CHN-Low-birthweight babies (% of births)\n", + "Statistical=0.894, p=0.004\n", + "CHN-Lower secondary school starting age (years)\n", + "Statistical=0.916, p=0.017\n", + "CHN-Machinery and transport equipment (% of value added in manufacturing)\n", + "Statistical=0.915, p=0.015\n", + "CHN-Manufactures exports (% of merchandise exports)\n", + "Statistical=0.921, p=0.022\n", + "CHN-Manufactures imports (% of merchandise imports)\n", + "Statistical=0.883, p=0.002\n", + "CHN-Marine protected areas (% of territorial waters)\n", + "Statistical=0.979, p=0.761\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Market capitalization of listed domestic companies (% of GDP)\n", + "Statistical=0.846, p=0.000\n", + "CHN-Market capitalization of listed domestic companies (current US$)\n", + "Statistical=0.947, p=0.118\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", + "Statistical=0.942, p=0.084\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Maternal mortality ratio (national estimate, per 100,000 live births)\n", + "Statistical=0.951, p=0.158\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Medium and high-tech exports (% manufactured exports)\n", + "Statistical=0.882, p=0.002\n", + "CHN-Medium and high-tech manufacturing value added (% manufacturing value added)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Merchandise exports (current US$)\n", + "Statistical=0.932, p=0.045\n", + "CHN-Merchandise exports by the reporting economy (current US$)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", + "Statistical=0.911, p=0.012\n", + "CHN-Merchandise exports to high-income economies (% of total merchandise exports)\n", + "Statistical=0.815, p=0.000\n", + "CHN-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", + "Statistical=0.947, p=0.121\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", + "Statistical=0.951, p=0.149\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", + "Statistical=0.949, p=0.136\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", + "Statistical=0.862, p=0.001\n", + "CHN-Merchandise imports (current US$)\n", + "Statistical=0.798, p=0.000\n", + "CHN-Merchandise imports by the reporting economy (current US$)\n", + "Statistical=0.793, p=0.000\n", + "CHN-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", + "Statistical=0.817, p=0.000\n", + "CHN-Merchandise imports from high-income economies (% of total merchandise imports)\n", + "Statistical=0.833, p=0.000\n", + "CHN-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", + "Statistical=0.626, p=0.000\n", + "CHN-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", + "Statistical=0.897, p=0.005\n", + "CHN-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", + "Statistical=0.840, p=0.000\n", + "CHN-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", + "Statistical=0.862, p=0.001\n", + "CHN-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", + "Statistical=0.903, p=0.007\n", + "CHN-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", + "Statistical=0.831, p=0.000\n", + "CHN-Merchandise trade (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Methane emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Methane emissions (kt of CO2 equivalent)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.872, p=0.001\n", + "CHN-Military expenditure (% of GDP)\n", + "Statistical=0.839, p=0.000\n", + "CHN-Military expenditure (% of general government expenditure)\n", + "Statistical=0.828, p=0.000\n", + "CHN-Military expenditure (current USD)\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Mineral rents (% of GDP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Mobile cellular subscriptions\n", + "Statistical=0.885, p=0.003\n", + "CHN-Mobile cellular subscriptions (per 100 people)\n", + "Statistical=0.870, p=0.001\n", + "CHN-Monetary Sector credit to private sector (% GDP)\n", + "Statistical=0.821, p=0.000\n", + "CHN-Mortality caused by road traffic injury (per 100,000 population)\n", + "Statistical=0.793, p=0.000\n", + "CHN-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", + "Statistical=0.801, p=0.000\n", + "CHN-Natural gas rents (% of GDP)\n", + "Statistical=0.883, p=0.002\n", + "CHN-Net barter terms of trade index (2000 = 100)\n", + "Statistical=0.901, p=0.007\n", + "CHN-Net capital account (BoP, current US$)\n", + "Statistical=0.943, p=0.088\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Net errors and omissions (BoP, current US$)\n", + "Statistical=0.952, p=0.165\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Net financial account (BoP, current US$)\n", + "Statistical=0.883, p=0.002\n", + "CHN-Net migration\n", + "Statistical=0.859, p=0.001\n", + "CHN-Net primary income (BoP, current US$)\n", + "Statistical=0.859, p=0.001\n", + "CHN-Net primary income (Net income from abroad) (current US$)\n", + "Statistical=0.839, p=0.000\n", + "CHN-Net secondary income (BoP, current US$)\n", + "Statistical=0.819, p=0.000\n", + "CHN-Net secondary income (Net current transfers from abroad) (current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Net trade in goods (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Net trade in goods and services (BoP, current US$)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-New business density (new registrations per 1,000 people ages 15-64)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-New businesses registered (number)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Nitrous oxide emissions (% change from 1990)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.770, p=0.000\n", + "CHN-Nitrous oxide emissions in energy sector (% of total)\n", + "Statistical=0.776, p=0.000\n", + "CHN-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.935, p=0.056\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Number of deaths ages 10-14 years\n", + "Statistical=0.944, p=0.100\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Number of deaths ages 15-19 years\n", + "Statistical=0.769, p=0.000\n", + "CHN-Number of deaths ages 20-24 years\n", + "Statistical=0.950, p=0.143\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Number of deaths ages 5-9 years\n", + "Statistical=0.927, p=0.032\n", + "CHN-Number of infant deaths\n", + "Statistical=0.777, p=0.000\n", + "CHN-Number of maternal deaths\n", + "Statistical=0.941, p=0.080\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Number of neonatal deaths\n", + "Statistical=0.956, p=0.208\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Number of under-five deaths\n", + "Statistical=0.895, p=0.005\n", + "CHN-Nurses and midwives (per 1,000 people)\n", + "Statistical=0.950, p=0.147\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Official exchange rate (LCU per US$, period average)\n", + "Statistical=0.787, p=0.000\n", + "CHN-Oil rents (% of GDP)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Ores and metals exports (% of merchandise exports)\n", + "Statistical=0.943, p=0.092\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Ores and metals imports (% of merchandise imports)\n", + "Statistical=0.748, p=0.000\n", + "CHN-Other greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.828, p=0.000\n", + "CHN-Other manufacturing (% of value added in manufacturing)\n", + "Statistical=0.885, p=0.003\n", + "CHN-Other taxes payable by businesses (% of commercial profits)\n", + "Statistical=0.914, p=0.014\n", + "CHN-Out-of-pocket expenditure (% of current health expenditure)\n", + "Statistical=0.885, p=0.003\n", + "CHN-Out-of-pocket expenditure per capita (current US$)\n", + "Statistical=0.885, p=0.003\n", + "CHN-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.848, p=0.000\n", + "CHN-People using at least basic drinking water services (% of population)\n", + "Statistical=0.824, p=0.000\n", + "CHN-People using at least basic sanitation services (% of population)\n", + "Statistical=0.933, p=0.047\n", + "CHN-People using safely managed sanitation services (% of population)\n", + "Statistical=0.933, p=0.047\n", + "CHN-Permanent cropland (% of land area)\n", + "Statistical=0.962, p=0.306\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Physicians (per 1,000 people)\n", + "Statistical=0.889, p=0.003\n", + "CHN-Population ages 0-14 (% of total population)\n", + "Statistical=0.889, p=0.003\n", + "CHN-Population ages 15-64 (% of total population)\n", + "Statistical=0.854, p=0.001\n", + "CHN-Population ages 65 and above (% of total population)\n", + "Statistical=0.827, p=0.000\n", + "CHN-Population density (people per sq. km of land area)\n", + "Statistical=0.927, p=0.033\n", + "CHN-Population growth (annual %)\n", + "Statistical=0.889, p=0.003\n", + "CHN-Population in largest city\n", + "Statistical=0.885, p=0.003\n", + "CHN-Population in the largest city (% of urban population)\n", + "Statistical=0.886, p=0.003\n", + "CHN-Population in urban agglomerations of more than 1 million\n", + "Statistical=0.905, p=0.008\n", + "CHN-Population in urban agglomerations of more than 1 million (% of total population)\n", + "Statistical=0.919, p=0.019\n", + "CHN-Population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.885, p=0.003\n", + "CHN-Poverty gap at $5.50 a day (2011 PPP) (%)\n", + "Statistical=0.881, p=0.002\n", + "CHN-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", + "Statistical=0.848, p=0.000\n", + "CHN-Poverty headcount ratio at national poverty lines (% of population)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Pregnant women receiving prenatal care (%)\n", + "Statistical=0.860, p=0.001\n", + "CHN-Prevalence of anemia among children (% of children ages 6-59 months)\n", + "Statistical=0.860, p=0.001\n", + "CHN-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", + "Statistical=0.847, p=0.000\n", + "CHN-Prevalence of anemia among pregnant women (%)\n", + "Statistical=0.824, p=0.000\n", + "CHN-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", + "Statistical=0.944, p=0.094\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Prevalence of current tobacco use (% of adults)\n", + "Statistical=0.863, p=0.001\n", + "CHN-Prevalence of overweight (modeled estimate, % of children under 5)\n", + "Statistical=0.863, p=0.001\n", + "CHN-Prevalence of undernourishment (% of population)\n", + "Statistical=0.854, p=0.000\n", + "CHN-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", + "Statistical=0.907, p=0.010\n", + "CHN-Primary income payments (BoP, current US$)\n", + "Statistical=0.825, p=0.000\n", + "CHN-Primary income receipts (BoP, current US$)\n", + "Statistical=0.863, p=0.001\n", + "CHN-Primary school starting age (years)\n", + "Statistical=0.885, p=0.003\n", + "CHN-Private credit bureau coverage (% of adults)\n", + "Statistical=0.821, p=0.000\n", + "CHN-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", + "Statistical=0.860, p=0.001\n", + "CHN-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", + "Statistical=0.881, p=0.002\n", + "CHN-Probability of dying among children ages 5-9 years (per 1,000)\n", + "Statistical=0.847, p=0.000\n", + "CHN-Probability of dying among youth ages 20-24 years (per 1,000)\n", + "Statistical=0.938, p=0.064\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Procedures to build a warehouse (number)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Procedures to register property (number)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Profit tax (% of commercial profits)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Progression to secondary school (%)\n", + "Statistical=0.836, p=0.000\n", + "CHN-Proportion of people living below 50 percent of median income (%)\n", + "Statistical=0.816, p=0.000\n", + "CHN-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.928, p=0.035\n", + "CHN-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", + "Statistical=0.825, p=0.000\n", + "CHN-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.832, p=0.000\n", + "CHN-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", + "Statistical=0.864, p=0.001\n", + "CHN-Proportion of seats held by women in national parliaments (%)\n", + "Statistical=0.928, p=0.035\n", + "CHN-Public credit registry coverage (% of adults)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Pump price for diesel fuel (US$ per liter)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Pump price for gasoline (US$ per liter)\n", + "Statistical=0.565, p=0.000\n", + "CHN-Rail lines (total route-km)\n", + "Statistical=0.790, p=0.000\n", + "CHN-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", + "Statistical=0.724, p=0.000\n", + "CHN-Ratio of female to male labor force participation rate (%) (national estimate)\n", + "Statistical=0.940, p=0.077\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Refugee population by country or territory of asylum\n", + "Statistical=0.931, p=0.042\n", + "CHN-Refugee population by country or territory of origin\n", + "Statistical=0.938, p=0.066\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Renewable electricity output (% of total electricity output)\n", + "Statistical=0.845, p=0.000\n", + "CHN-Renewable energy consumption (% of total final energy consumption)\n", + "Statistical=0.845, p=0.000\n", + "CHN-Renewable internal freshwater resources per capita (cubic meters)\n", + "Statistical=0.840, p=0.000\n", + "CHN-Research and development expenditure (% of GDP)\n", + "Statistical=0.816, p=0.000\n", + "CHN-Researchers in R&D (per million people)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Reserves and related items (BoP, current US$)\n", + "Statistical=0.952, p=0.165\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", + "Statistical=0.852, p=0.000\n", + "CHN-Rural land area (sq. km)\n", + "Statistical=0.826, p=0.000\n", + "CHN-Rural land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.910, p=0.011\n", + "CHN-Rural land area where elevation is below 5 meters (sq. km)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Rural population\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Rural population (% of total population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Rural population growth (annual %)\n", + "Statistical=0.840, p=0.000\n", + "CHN-Rural population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.818, p=0.000\n", + "CHN-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", + "Statistical=0.906, p=0.009\n", + "CHN-Scientific and technical journal articles\n", + "Statistical=0.854, p=0.001\n", + "CHN-Secondary income receipts (BoP, current US$)\n", + "Statistical=0.972, p=0.547\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Secure Internet servers\n", + "Statistical=0.914, p=0.015\n", + "CHN-Secure Internet servers (per 1 million people)\n", + "Statistical=0.853, p=0.000\n", + "CHN-Service exports (BoP, current US$)\n", + "Statistical=0.853, p=0.000\n", + "CHN-Service imports (BoP, current US$)\n", + "Statistical=0.842, p=0.000\n", + "CHN-Sex ratio at birth (male births per female births)\n", + "Statistical=0.819, p=0.000\n", + "CHN-Social contributions (% of revenue)\n", + "Statistical=0.808, p=0.000\n", + "CHN-Specialist surgical workforce (per 100,000 population)\n", + "Statistical=0.958, p=0.236\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Start-up procedures to register a business (number)\n", + "Statistical=0.956, p=0.218\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", + "Statistical=0.853, p=0.000\n", + "CHN-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", + "Statistical=0.827, p=0.000\n", + "CHN-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Strength of legal rights index (0=weak to 12=strong)\n", + "Statistical=0.793, p=0.000\n", + "CHN-Suicide mortality rate (per 100,000 population)\n", + "Statistical=0.795, p=0.000\n", + "CHN-Surface area (sq. km)\n", + "Statistical=0.718, p=0.000\n", + "CHN-Tax payments (number)\n", + "Statistical=0.887, p=0.003\n", + "CHN-Tax revenue (% of GDP)\n", + "Statistical=0.895, p=0.005\n", + "CHN-Taxes less subsidies on products (current US$)\n", + "Statistical=0.841, p=0.000\n", + "CHN-Taxes on goods and services (% of revenue)\n", + "Statistical=0.841, p=0.000\n", + "CHN-Taxes on goods and services (% value added of industry and services)\n", + "Statistical=0.840, p=0.000\n", + "CHN-Terrestrial and marine protected areas (% of total territorial area)\n", + "Statistical=0.819, p=0.000\n", + "CHN-Terrestrial protected areas (% of total land area)\n", + "Statistical=0.842, p=0.000\n", + "CHN-Textiles and clothing (% of value added in manufacturing)\n", + "Statistical=0.909, p=0.011\n", + "CHN-Time required to build a warehouse (days)\n", + "Statistical=0.841, p=0.000\n", + "CHN-Time required to enforce a contract (days)\n", + "Statistical=0.857, p=0.001\n", + "CHN-Time required to get electricity (days)\n", + "Statistical=0.915, p=0.015\n", + "CHN-Time required to register property (days)\n", + "Statistical=0.840, p=0.000\n", + "CHN-Time required to start a business (days)\n", + "Statistical=0.406, p=0.000\n", + "CHN-Time spent dealing with the requirements of government regulations (% of senior management time)\n", + "Statistical=0.407, p=0.000\n", + "CHN-Time to obtain an electrical connection (days)\n", + "Statistical=0.404, p=0.000\n", + "CHN-Time to prepare and pay taxes (hours)\n", + "Statistical=0.409, p=0.000\n", + "CHN-Time to resolve insolvency (years)\n", + "Statistical=0.405, p=0.000\n", + "CHN-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", + "Statistical=0.411, p=0.000\n", + "CHN-Total fisheries production (metric tons)\n", + "Statistical=0.409, p=0.000\n", + "CHN-Total greenhouse gas emissions (% change from 1990)\n", + "Statistical=0.406, p=0.000\n", + "CHN-Total greenhouse gas emissions (kt of CO2 equivalent)\n", + "Statistical=0.408, p=0.000\n", + "CHN-Total natural resources rents (% of GDP)\n", + "Statistical=0.854, p=0.001\n", + "CHN-Total reserves (includes gold, current US$)\n", + "Statistical=0.895, p=0.005\n", + "CHN-Total reserves in months of imports\n", + "Statistical=0.869, p=0.001\n", + "CHN-Total reserves minus gold (current US$)\n", + "Statistical=0.789, p=0.000\n", + "CHN-Total tax and contribution rate (% of profit)\n", + "Statistical=0.818, p=0.000\n", + "CHN-Trade (% of GDP)\n", + "Statistical=0.734, p=0.000\n", + "CHN-Trade in services (% of GDP)\n", + "Statistical=0.821, p=0.000\n", + "CHN-Transport services (% of commercial service exports)\n", + "Statistical=0.880, p=0.002\n", + "CHN-Transport services (% of commercial service imports)\n", + "Statistical=0.841, p=0.000\n", + "CHN-Transport services (% of service exports, BoP)\n", + "Statistical=0.879, p=0.002\n", + "CHN-Transport services (% of service imports, BoP)\n", + "Statistical=0.957, p=0.229\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Travel services (% of commercial service exports)\n", + "Statistical=0.834, p=0.000\n", + "CHN-Travel services (% of commercial service imports)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Travel services (% of service exports, BoP)\n", + "Statistical=1.000, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Travel services (% of service imports, BoP)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Tuberculosis case detection rate (%, all forms)\n", + "Statistical=0.872, p=0.001\n", + "CHN-Tuberculosis treatment success rate (% of new cases)\n", + "Statistical=0.842, p=0.000\n", + "CHN-UHC service coverage index\n", + "Statistical=0.832, p=0.000\n", + "CHN-Unemployment with advanced education (% of total labor force with advanced education)\n", + "Statistical=0.846, p=0.000\n", + "CHN-Unemployment with basic education (% of total labor force with basic education)\n", + "Statistical=0.910, p=0.011\n", + "CHN-Unemployment with intermediate education (% of total labor force with intermediate education)\n", + "Statistical=0.923, p=0.025\n", + "CHN-Urban land area (sq. km)\n", + "Statistical=0.919, p=0.019\n", + "CHN-Urban land area where elevation is below 5 meters (% of total land area)\n", + "Statistical=0.940, p=0.073\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Urban land area where elevation is below 5 meters (sq. km)\n", + "Statistical=0.926, p=0.031\n", + "CHN-Urban population\n", + "Statistical=0.925, p=0.029\n", + "CHN-Urban population (% of total population)\n", + "Statistical=0.902, p=0.007\n", + "CHN-Urban population growth (annual %)\n", + "Statistical=0.882, p=0.002\n", + "CHN-Urban population living in areas where elevation is below 5 meters (% of total population)\n", + "Statistical=0.882, p=0.002\n", + "CHN-Women Business and the Law Index Score (scale 1-100)\n", + "Statistical=0.910, p=0.011\n", + "CHN-GDP (current US$)+1\n", + "Statistical=0.910, p=0.011\n", + "CHN-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", + "Statistical=nan, p=1.000\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-GDP (current US$)+2\n", + "Statistical=0.890, p=0.003\n", + "CHN-GDP (current US$)+3\n", + "Statistical=0.831, p=0.000\n", + "CHN-GDP (current US$)+5\n", + "Statistical=0.853, p=0.000\n", + "CHN-GDP (current US$)+8\n", + "Statistical=0.981, p=0.824\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-GDP (current US$)+13\n", + "Statistical=0.885, p=0.003\n", + "CHN-GDP (current US$)+21\n", + "Statistical=0.885, p=0.003\n", + "CHN-Customs and other import duties (% of tax revenue)\n", + "Statistical=0.862, p=0.001\n", + "CHN-Deposit interest rate (%)\n", + "Statistical=0.829, p=0.000\n", + "CHN-Other taxes (% of revenue)\n", + "Statistical=0.906, p=0.009\n", + "CHN-Poverty gap at $3.20 a day (2011 PPP) (%)\n", + "Statistical=0.893, p=0.004\n", + "CHN-Taxes on international trade (% of revenue)\n", + "Statistical=0.893, p=0.004\n", + "CHN-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", + "Statistical=0.977, p=0.709\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Broad money (% of GDP)\n", + "Statistical=0.891, p=0.004\n", + "CHN-Broad money growth (annual %)\n", + "Statistical=0.943, p=0.090\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Broad money to total reserves ratio\n", + "Statistical=0.891, p=0.004\n", + "CHN-Claims on central government (annual growth as % of broad money)\n", + "Statistical=0.941, p=0.082\n", + "Data is NORMAL ( H0 not denied )\n", + "CHN-Claims on private sector (annual growth as % of broad money)\n", + "Statistical=0.835, p=0.000\n", + "CHN-Poverty gap at $1.90 a day (2011 PPP) (%)\n", + "Statistical=0.681, p=0.000\n", + "CHN-External health expenditure (% of current health expenditure)\n", + "Statistical=0.717, p=0.000\n", + "CHN-External health expenditure per capita (current US$)\n", + "Statistical=0.599, p=0.000\n", + "CHN-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", + "Statistical=0.864, p=0.001\n", + "CHN-Net official development assistance and official aid received (constant 2018 US$)\n", + "Statistical=0.874, p=0.001\n", + "CHN-Net official development assistance and official aid received (current US$)\n", + "Statistical=0.678, p=0.000\n", + "CHN-Technical cooperation grants (BoP, current US$)\n", + "Statistical=0.703, p=0.000\n", + "CHN-People practicing open defecation (% of population)\n", + "Statistical=0.714, p=0.000\n", + "CHN-Taxes on exports (% of tax revenue)\n", + "Statistical=0.737, p=0.000\n", + "CHN-Adjusted savings: net forest depletion (current US$)\n", + "Statistical=0.899, p=0.006\n", + "CHN-Country\n", + "Statistical=0.563, p=0.000\n", + "CHN-Year\n", + "Statistical=0.703, p=0.000\n", + "CHN-Continent\n", + "Statistical=0.707, p=0.000\n" ] } ], @@ -16091,7 +64184,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.10.4 ('.venv': poetry)", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -16105,7 +64198,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.4" + "version": "3.9.12" }, "vscode": { "interpreter": { From 4e8b05cd64629880ee55bd521bb62699e614d0dc Mon Sep 17 00:00:00 2001 From: amarchve Date: Mon, 1 Aug 2022 08:52:38 +0200 Subject: [PATCH 40/86] Conclusions started --- WDI-Complete code.ipynb | 1117 +++++++++++++++++++++++++++------------ 1 file changed, 767 insertions(+), 350 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 8edae7e..99d50a5 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -952,7 +952,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -3745,13 +3745,7 @@ "People using safely managed drinking water services, rural (% of rural population)\n", "People using safely managed drinking water services, urban (% of urban population)\n", "People using safely managed sanitation services, rural (% of rural population)\n", - "People using safely managed sanitation services, urban (% of urban population)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "People using safely managed sanitation services, urban (% of urban population)\n", "People with basic handwashing facilities including soap and water (% of population)\n", "People with basic handwashing facilities including soap and water, rural (% of rural population)\n", "People with basic handwashing facilities including soap and water, urban (% of urban population)\n", @@ -3894,13 +3888,7 @@ "Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative)\n", "Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative)\n", "Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative)\n", - "Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative)\n", "Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative)\n", "Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative)\n", "Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative)\n", @@ -10143,7 +10131,16 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 107, + "metadata": {}, + "outputs": [], + "source": [ + "categories.rename(columns={'Type':'Group'}, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 126, "metadata": {}, "outputs": [ { @@ -10174,11 +10171,14 @@ " Moved\n", " Type\n", " Continent\n", + " Number of times repeated\n", + " Group\n", + " Level\n", " \n", " \n", " \n", " \n", - " 45\n", + " 0\n", " Individuals using the Internet (% of population)\n", " 0.822917\n", " Positive\n", @@ -10186,46 +10186,61 @@ " 1\n", " Does not apply\n", " Europe\n", + " 8\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 5\n", - " Adolescent fertility rate (births per 1,000 wo...\n", - " 0.817804\n", - " Negative\n", - " DEU\n", - " 1\n", + " 1\n", + " Individuals using the Internet (% of population)\n", + " 0.760791\n", + " Positive\n", + " FRA\n", + " 5\n", " Does not apply\n", " Europe\n", + " 8\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 13\n", - " Commercial bank branches (per 100,000 adults)\n", - " 0.801333\n", - " Negative\n", - " DEU\n", - " 1\n", + " 2\n", + " Individuals using the Internet (% of population)\n", + " 0.768616\n", + " Positive\n", + " SWE\n", " Does not apply\n", + " Cubic\n", " Europe\n", + " 8\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 11\n", - " CO2 emissions (kt)\n", - " 0.794276\n", - " Negative\n", - " DEU\n", - " 1\n", + " 3\n", + " Individuals using the Internet (% of population)\n", + " 0.934571\n", + " Positive\n", + " GBR\n", + " 8\n", " Does not apply\n", " Europe\n", + " 8\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 82\n", - " Travel services (% of service exports, BoP)\n", - " 0.792475\n", - " Negative\n", - " DEU\n", - " 1\n", + " 4\n", + " Individuals using the Internet (% of population)\n", + " 0.801763\n", + " Positive\n", + " ESP\n", + " 8\n", " Does not apply\n", " Europe\n", + " 8\n", + " NaN\n", + " NaN\n", " \n", " \n", " ...\n", @@ -10236,93 +10251,124 @@ " ...\n", " ...\n", " ...\n", + " ...\n", + " ...\n", + " ...\n", " \n", " \n", - " 5941\n", - " Prevalence of anemia among children (% of chil...\n", - " 0.833357\n", - " Negative\n", - " CHN\n", + " 9484\n", + " Tuberculosis case detection rate (%, all forms)\n", + " 0.858062\n", + " Positive\n", + " PHL\n", " Does not apply\n", " Logarithmic\n", - " Pair\n", + " Asia\n", + " 8\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 5942\n", - " CO2 emissions from solid fuel consumption (kt)\n", - " 0.830258\n", - " Positive\n", - " CHN\n", + " 9485\n", + " Natural gas rents (% of GDP)\n", + " 0.888673\n", + " Negative\n", + " GHA\n", " Does not apply\n", - " Cuadratic\n", - " Pair\n", + " Logarithmic\n", + " South Africa\n", + " 1\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 5946\n", - " Manufactures imports (% of merchandise imports)\n", - " 0.804497\n", + " 9486\n", + " Natural gas rents (% of GDP)\n", + " 0.893013\n", " Negative\n", - " CHN\n", + " BGD\n", + " 21\n", " Does not apply\n", - " Logarithmic\n", - " Pair\n", + " Asia\n", + " 1\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 5947\n", - " Total alcohol consumption per capita (liters o...\n", - " 0.804163\n", - " Positive\n", - " CHN\n", + " 9487\n", + " Natural gas rents (% of GDP)\n", + " 0.792003\n", + " Negative\n", + " IND\n", + " 21\n", " Does not apply\n", - " Cubic\n", - " Pair\n", + " Asia\n", + " 1\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 5948\n", - " Prevalence of anemia among women of reproducti...\n", - " 0.793298\n", - " Negative\n", - " CHN\n", + " 9488\n", + " Land area (sq\n", + " 0.929636\n", + " Positive\n", + " KOR\n", " Does not apply\n", - " Logarithmic\n", - " Pair\n", + " km).^3\n", + " Asia\n", + " 1\n", + " NaN\n", + " NaN\n", " \n", " \n", "\n", - "

9489 rows × 7 columns

\n", + "

9489 rows × 10 columns

\n", "" ], "text/plain": [ - " Indicator R^2 Spearman \\\n", - "45 Individuals using the Internet (% of population) 0.822917 \n", - "5 Adolescent fertility rate (births per 1,000 wo... 0.817804 \n", - "13 Commercial bank branches (per 100,000 adults) 0.801333 \n", - "11 CO2 emissions (kt) 0.794276 \n", - "82 Travel services (% of service exports, BoP) 0.792475 \n", - "... ... ... \n", - "5941 Prevalence of anemia among children (% of chil... 0.833357 \n", - "5942 CO2 emissions from solid fuel consumption (kt) 0.830258 \n", - "5946 Manufactures imports (% of merchandise imports) 0.804497 \n", - "5947 Total alcohol consumption per capita (liters o... 0.804163 \n", - "5948 Prevalence of anemia among women of reproducti... 0.793298 \n", + " Indicator R^2 Spearman \\\n", + "0 Individuals using the Internet (% of population) 0.822917 \n", + "1 Individuals using the Internet (% of population) 0.760791 \n", + "2 Individuals using the Internet (% of population) 0.768616 \n", + "3 Individuals using the Internet (% of population) 0.934571 \n", + "4 Individuals using the Internet (% of population) 0.801763 \n", + "... ... ... \n", + "9484 Tuberculosis case detection rate (%, all forms) 0.858062 \n", + "9485 Natural gas rents (% of GDP) 0.888673 \n", + "9486 Natural gas rents (% of GDP) 0.893013 \n", + "9487 Natural gas rents (% of GDP) 0.792003 \n", + "9488 Land area (sq 0.929636 \n", + "\n", + " Behaviour Country Moved Type Continent \\\n", + "0 Positive DEU 1 Does not apply Europe \n", + "1 Positive FRA 5 Does not apply Europe \n", + "2 Positive SWE Does not apply Cubic Europe \n", + "3 Positive GBR 8 Does not apply Europe \n", + "4 Positive ESP 8 Does not apply Europe \n", + "... ... ... ... ... ... \n", + "9484 Positive PHL Does not apply Logarithmic Asia \n", + "9485 Negative GHA Does not apply Logarithmic South Africa \n", + "9486 Negative BGD 21 Does not apply Asia \n", + "9487 Negative IND 21 Does not apply Asia \n", + "9488 Positive KOR Does not apply km).^3 Asia \n", "\n", - " Behaviour Country Moved Type Continent \n", - "45 Positive DEU 1 Does not apply Europe \n", - "5 Negative DEU 1 Does not apply Europe \n", - "13 Negative DEU 1 Does not apply Europe \n", - "11 Negative DEU 1 Does not apply Europe \n", - "82 Negative DEU 1 Does not apply Europe \n", - "... ... ... ... ... ... \n", - "5941 Negative CHN Does not apply Logarithmic Pair \n", - "5942 Positive CHN Does not apply Cuadratic Pair \n", - "5946 Negative CHN Does not apply Logarithmic Pair \n", - "5947 Positive CHN Does not apply Cubic Pair \n", - "5948 Negative CHN Does not apply Logarithmic Pair \n", - "\n", - "[9489 rows x 7 columns]" + " Number of times repeated Group Level \n", + "0 8 NaN NaN \n", + "1 8 NaN NaN \n", + "2 8 NaN NaN \n", + "3 8 NaN NaN \n", + "4 8 NaN NaN \n", + "... ... ... ... \n", + "9484 8 NaN NaN \n", + "9485 1 NaN NaN \n", + "9486 1 NaN NaN \n", + "9487 1 NaN NaN \n", + "9488 1 NaN NaN \n", + "\n", + "[9489 rows x 10 columns]" ] }, - "execution_count": 78, + "execution_count": 126, "metadata": {}, "output_type": "execute_result" } @@ -10338,6 +10384,7 @@ "final_indicators_list=categories.Indicator.unique()\n", "final['Continent']=final['Country'].map(all_countries)\n", "final=final.loc[final.loc[:, 'Indicator'].isin(np.array(final_indicators_list))]\n", + "final=pd.merge(final,categories, left_on='Indicator',right_on='Indicator')\n", "final" ] }, @@ -10630,69 +10677,69 @@ " \n", " \n", " \n", - " 0\n", - " Individuals using the Internet (% of population)\n", - " 0.822917\n", + " 996\n", + " GNI (current US$)\n", + " 0.996337\n", " Positive\n", " DEU\n", - " 1\n", " Does not apply\n", + " Linear\n", " Europe\n", - " 8\n", - " NaN\n", - " NaN\n", + " 46\n", + " Economy\n", + " primary\n", " \n", " \n", - " 1\n", - " Individuals using the Internet (% of population)\n", - " 0.760791\n", + " 997\n", + " GNI (current US$)\n", + " 0.996337\n", " Positive\n", " FRA\n", - " 5\n", " Does not apply\n", + " Linear\n", " Europe\n", - " 8\n", - " NaN\n", - " NaN\n", + " 46\n", + " Economy\n", + " primary\n", " \n", " \n", - " 2\n", - " Individuals using the Internet (% of population)\n", - " 0.768616\n", + " 998\n", + " GNI (current US$)\n", + " 0.985388\n", " Positive\n", " SWE\n", " Does not apply\n", - " Cubic\n", + " Linear\n", " Europe\n", - " 8\n", - " NaN\n", - " NaN\n", + " 46\n", + " Economy\n", + " primary\n", " \n", " \n", - " 3\n", - " Individuals using the Internet (% of population)\n", - " 0.934571\n", + " 999\n", + " GNI (current US$)\n", + " 0.988302\n", " Positive\n", " GBR\n", - " 8\n", " Does not apply\n", + " Linear\n", " Europe\n", - " 8\n", - " NaN\n", - " NaN\n", + " 46\n", + " Economy\n", + " primary\n", " \n", " \n", - " 4\n", - " Individuals using the Internet (% of population)\n", - " 0.801763\n", + " 1000\n", + " GNI (current US$)\n", + " 0.998534\n", " Positive\n", " ESP\n", - " 8\n", " Does not apply\n", + " Linear\n", " Europe\n", - " 8\n", - " NaN\n", - " NaN\n", + " 46\n", + " Economy\n", + " primary\n", " \n", " \n", " ...\n", @@ -10708,116 +10755,116 @@ " ...\n", " \n", " \n", - " 9484\n", - " Tuberculosis case detection rate (%, all forms)\n", - " 0.858062\n", + " 8942\n", + " Population density (people per sq\n", + " 0.871682\n", " Positive\n", - " PHL\n", + " CHL\n", " Does not apply\n", - " Logarithmic\n", - " Asia\n", - " 8\n", - " NaN\n", - " NaN\n", + " km of land area).^2\n", + " Latam\n", + " 33\n", + " Demography\n", + " primary\n", " \n", " \n", - " 9485\n", - " Natural gas rents (% of GDP)\n", - " 0.888673\n", - " Negative\n", - " GHA\n", + " 8943\n", + " Population density (people per sq\n", + " 0.974500\n", + " Positive\n", + " PAN\n", " Does not apply\n", - " Logarithmic\n", - " South Africa\n", - " 1\n", - " NaN\n", - " NaN\n", + " km of land area).^3\n", + " Latam\n", + " 33\n", + " Demography\n", + " primary\n", " \n", " \n", - " 9486\n", - " Natural gas rents (% of GDP)\n", - " 0.893013\n", - " Negative\n", - " BGD\n", - " 21\n", + " 8944\n", + " Population density (people per sq\n", + " 0.993411\n", + " Positive\n", + " CRI\n", " Does not apply\n", - " Asia\n", - " 1\n", - " NaN\n", - " NaN\n", + " km of land area).^3\n", + " Latam\n", + " 33\n", + " Demography\n", + " primary\n", " \n", " \n", - " 9487\n", - " Natural gas rents (% of GDP)\n", - " 0.792003\n", - " Negative\n", - " IND\n", - " 21\n", + " 8945\n", + " Population density (people per sq\n", + " 0.995605\n", + " Positive\n", + " USA\n", " Does not apply\n", - " Asia\n", - " 1\n", - " NaN\n", - " NaN\n", + " km of land area).^3\n", + " Pair\n", + " 33\n", + " Demography\n", + " primary\n", " \n", " \n", - " 9488\n", - " Land area (sq\n", - " 0.929636\n", + " 8946\n", + " Population density (people per sq\n", + " 1.000000\n", " Positive\n", - " KOR\n", + " CHN\n", " Does not apply\n", - " km).^3\n", - " Asia\n", - " 1\n", - " NaN\n", - " NaN\n", + " km of land area).^3\n", + " Pair\n", + " 33\n", + " Demography\n", + " primary\n", " \n", " \n", "\n", - "

9489 rows × 10 columns

\n", + "

447 rows × 10 columns

\n", "" ], "text/plain": [ - " Indicator R^2 Spearman \\\n", - "0 Individuals using the Internet (% of population) 0.822917 \n", - "1 Individuals using the Internet (% of population) 0.760791 \n", - "2 Individuals using the Internet (% of population) 0.768616 \n", - "3 Individuals using the Internet (% of population) 0.934571 \n", - "4 Individuals using the Internet (% of population) 0.801763 \n", - "... ... ... \n", - "9484 Tuberculosis case detection rate (%, all forms) 0.858062 \n", - "9485 Natural gas rents (% of GDP) 0.888673 \n", - "9486 Natural gas rents (% of GDP) 0.893013 \n", - "9487 Natural gas rents (% of GDP) 0.792003 \n", - "9488 Land area (sq 0.929636 \n", + " Indicator R^2 Spearman Behaviour Country \\\n", + "996 GNI (current US$) 0.996337 Positive DEU \n", + "997 GNI (current US$) 0.996337 Positive FRA \n", + "998 GNI (current US$) 0.985388 Positive SWE \n", + "999 GNI (current US$) 0.988302 Positive GBR \n", + "1000 GNI (current US$) 0.998534 Positive ESP \n", + "... ... ... ... ... \n", + "8942 Population density (people per sq 0.871682 Positive CHL \n", + "8943 Population density (people per sq 0.974500 Positive PAN \n", + "8944 Population density (people per sq 0.993411 Positive CRI \n", + "8945 Population density (people per sq 0.995605 Positive USA \n", + "8946 Population density (people per sq 1.000000 Positive CHN \n", "\n", - " Behaviour Country Moved Type Continent \\\n", - "0 Positive DEU 1 Does not apply Europe \n", - "1 Positive FRA 5 Does not apply Europe \n", - "2 Positive SWE Does not apply Cubic Europe \n", - "3 Positive GBR 8 Does not apply Europe \n", - "4 Positive ESP 8 Does not apply Europe \n", - "... ... ... ... ... ... \n", - "9484 Positive PHL Does not apply Logarithmic Asia \n", - "9485 Negative GHA Does not apply Logarithmic South Africa \n", - "9486 Negative BGD 21 Does not apply Asia \n", - "9487 Negative IND 21 Does not apply Asia \n", - "9488 Positive KOR Does not apply km).^3 Asia \n", + " Moved Type Continent \\\n", + "996 Does not apply Linear Europe \n", + "997 Does not apply Linear Europe \n", + "998 Does not apply Linear Europe \n", + "999 Does not apply Linear Europe \n", + "1000 Does not apply Linear Europe \n", + "... ... ... ... \n", + "8942 Does not apply km of land area).^2 Latam \n", + "8943 Does not apply km of land area).^3 Latam \n", + "8944 Does not apply km of land area).^3 Latam \n", + "8945 Does not apply km of land area).^3 Pair \n", + "8946 Does not apply km of land area).^3 Pair \n", "\n", - " Number of times repeated Group Level \n", - "0 8 NaN NaN \n", - "1 8 NaN NaN \n", - "2 8 NaN NaN \n", - "3 8 NaN NaN \n", - "4 8 NaN NaN \n", - "... ... ... ... \n", - "9484 8 NaN NaN \n", - "9485 1 NaN NaN \n", - "9486 1 NaN NaN \n", - "9487 1 NaN NaN \n", - "9488 1 NaN NaN \n", + " Number of times repeated Group Level \n", + "996 46 Economy primary \n", + "997 46 Economy primary \n", + "998 46 Economy primary \n", + "999 46 Economy primary \n", + "1000 46 Economy primary \n", + "... ... ... ... \n", + "8942 33 Demography primary \n", + "8943 33 Demography primary \n", + "8944 33 Demography primary \n", + "8945 33 Demography primary \n", + "8946 33 Demography primary \n", "\n", - "[9489 rows x 10 columns]" + "[447 rows x 10 columns]" ] }, "execution_count": 81, @@ -10826,14 +10873,110 @@ } ], "source": [ - "joining=pd.merge(final,categories, left_on='Indicator',right_on='Indicator')\n", - "final_join=joining.rename(columns={'Type_x':'Type','Type_y':'Group'})\n", - "final_join" + "#Focus on the one where patterns can be extracted (pattern based on repetition, so frequency higher than 50%).\n", + "selected_primary=final.loc[final['Level']=='primary']\n", + "selected_primary" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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2658 rows × 11 columns

\n", + "" + ], + "text/plain": [ + " Indicator R^2 Spearman Behaviour Country \\\n", + "0 CO2 emissions (kt) 0.794276 Negative DEU \n", + "1 CO2 emissions (kt) 0.761173 Negative SWE \n", + "2 CO2 emissions (kt) 0.905449 Negative GBR \n", + "3 CO2 emissions (kt) 0.971453 Positive QAT \n", + "4 CO2 emissions (kt) 0.984775 Positive ARE \n", + "... ... ... ... ... \n", + "2653 Military expenditure (current USD) 0.778471 Positive PER \n", + "2654 Military expenditure (current USD) 0.927311 Positive COL \n", + "2655 Military expenditure (current USD) 0.937223 Positive CHL \n", + "2656 Military expenditure (current USD) 0.791243 Positive USA \n", + "2657 Military expenditure (current USD) 0.999695 Positive CHN \n", + "\n", + " Moved Type Continent Number of times repeated \\\n", + "0 1 Does not apply Europe 30 \n", + "1 1 Does not apply Europe 30 \n", + "2 13 Does not apply Europe 30 \n", + "3 8 Does not apply Persian Gulf 30 \n", + "4 5 Does not apply Persian Gulf 30 \n", + "... ... ... ... ... \n", + "2653 Does not apply Linear Latam 31 \n", + "2654 Does not apply Linear Latam 31 \n", + "2655 Does not apply Linear Latam 31 \n", + "2656 3 Does not apply Pair 31 \n", + "2657 5 Does not apply Pair 31 \n", + "\n", + " Group Level Min \n", + "0 Environment secondary 24.0 \n", + "1 Environment secondary 24.0 \n", + "2 Environment secondary 24.0 \n", + "3 Environment secondary 24.0 \n", + "4 Environment secondary 24.0 \n", + "... ... ... ... \n", + "2653 Military primary 25.0 \n", + "2654 Military primary 25.0 \n", + "2655 Military primary 25.0 \n", + "2656 Military primary 25.0 \n", + "2657 Military primary 25.0 \n", + "\n", + "[2658 rows x 11 columns]" + ] + }, + "execution_count": 128, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "final" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorR^2 SpearmanBehaviourCountryMovedTypeContinentNumber of times repeatedGroupLevelMinH_0
0CO2 emissions (kt)0.794276NegativeDEU1Does not applyEurope30Environmentsecondary24.0Not Discarded
1CO2 emissions (kt)0.761173NegativeSWE1Does not applyEurope30Environmentsecondary24.0Not Discarded
2CO2 emissions (kt)0.905449NegativeGBR13Does not applyEurope30Environmentsecondary24.0Not Discarded
3CO2 emissions (kt)0.971453PositiveQAT8Does not applyPersian Gulf30Environmentsecondary24.0Not Discarded
4CO2 emissions (kt)0.984775PositiveARE5Does not applyPersian Gulf30Environmentsecondary24.0Not Discarded
..................
8942Population density (people per sq0.8716822653Military expenditure (current USD)0.778471PositiveCHLPERDoes not applykm of land area).^2LinearLatam33Demography31Militaryprimary25.0Not Discarded
8943Population density (people per sq0.9745002654Military expenditure (current USD)0.927311PositivePANCOLDoes not applykm of land area).^3LinearLatam33Demography31Militaryprimary25.0Not Discarded
8944Population density (people per sq0.9934112655Military expenditure (current USD)0.937223PositiveCRICHLDoes not applykm of land area).^3LinearLatam33Demography31Militaryprimary25.0Not Discarded
8945Population density (people per sq0.9956052656Military expenditure (current USD)0.791243PositiveUSA3Does not applykm of land area).^3Pair33Demography31Militaryprimary25.0Not Discarded
8946Population density (people per sq1.0000002657Military expenditure (current USD)0.999695PositiveCHN5Does not applykm of land area).^3Pair33Demography31Militaryprimary25.0Not Discarded
\n", - "

447 rows × 10 columns

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2658 rows × 12 columns

\n", "
" ], "text/plain": [ - " Indicator R^2 Spearman Behaviour Country \\\n", - "996 GNI (current US$) 0.996337 Positive DEU \n", - "997 GNI (current US$) 0.996337 Positive FRA \n", - "998 GNI (current US$) 0.985388 Positive SWE \n", - "999 GNI (current US$) 0.988302 Positive GBR \n", - "1000 GNI (current US$) 0.998534 Positive ESP \n", - "... ... ... ... ... \n", - "8942 Population density (people per sq 0.871682 Positive CHL \n", - "8943 Population density (people per sq 0.974500 Positive PAN \n", - "8944 Population density (people per sq 0.993411 Positive CRI \n", - "8945 Population density (people per sq 0.995605 Positive USA \n", - "8946 Population density (people per sq 1.000000 Positive CHN \n", - "\n", - " Moved Type Continent \\\n", - "996 Does not apply Linear Europe \n", - "997 Does not apply Linear Europe \n", - "998 Does not apply Linear Europe \n", - "999 Does not apply Linear Europe \n", - "1000 Does not apply Linear Europe \n", - "... ... ... ... \n", - "8942 Does not apply km of land area).^2 Latam \n", - "8943 Does not apply km of land area).^3 Latam \n", - "8944 Does not apply km of land area).^3 Latam \n", - "8945 Does not apply km of land area).^3 Pair \n", - "8946 Does not apply km of land area).^3 Pair \n", - "\n", - " Number of times repeated Group Level \n", - "996 46 Economy primary \n", - "997 46 Economy primary \n", - "998 46 Economy primary \n", - "999 46 Economy primary \n", - "1000 46 Economy primary \n", - "... ... ... ... \n", - "8942 33 Demography primary \n", - "8943 33 Demography primary \n", - "8944 33 Demography primary \n", - "8945 33 Demography primary \n", - "8946 33 Demography primary \n", - "\n", - "[447 rows x 10 columns]" + " Indicator R^2 Spearman Behaviour Country \\\n", + "0 CO2 emissions (kt) 0.794276 Negative DEU \n", + "1 CO2 emissions (kt) 0.761173 Negative SWE \n", + "2 CO2 emissions (kt) 0.905449 Negative GBR \n", + "3 CO2 emissions (kt) 0.971453 Positive QAT \n", + "4 CO2 emissions (kt) 0.984775 Positive ARE \n", + "... ... ... ... ... \n", + "2653 Military expenditure (current USD) 0.778471 Positive PER \n", + "2654 Military expenditure (current USD) 0.927311 Positive COL \n", + "2655 Military expenditure (current USD) 0.937223 Positive CHL \n", + "2656 Military expenditure (current USD) 0.791243 Positive USA \n", + "2657 Military expenditure (current USD) 0.999695 Positive CHN \n", + "\n", + " Moved Type Continent Number of times repeated \\\n", + "0 1 Does not apply Europe 30 \n", + "1 1 Does not apply Europe 30 \n", + "2 13 Does not apply Europe 30 \n", + "3 8 Does not apply Persian Gulf 30 \n", + "4 5 Does not apply Persian Gulf 30 \n", + "... ... ... ... ... \n", + "2653 Does not apply Linear Latam 31 \n", + "2654 Does not apply Linear Latam 31 \n", + "2655 Does not apply Linear Latam 31 \n", + "2656 3 Does not apply Pair 31 \n", + "2657 5 Does not apply Pair 31 \n", + "\n", + " Group Level Min H_0 \n", + "0 Environment secondary 24.0 Not Discarded \n", + "1 Environment secondary 24.0 Not Discarded \n", + "2 Environment secondary 24.0 Not Discarded \n", + "3 Environment secondary 24.0 Not Discarded \n", + "4 Environment secondary 24.0 Not Discarded \n", + "... ... ... ... ... \n", + "2653 Military primary 25.0 Not Discarded \n", + "2654 Military primary 25.0 Not Discarded \n", + "2655 Military primary 25.0 Not Discarded \n", + "2656 Military primary 25.0 Not Discarded \n", + "2657 Military primary 25.0 Not Discarded \n", + "\n", + "[2658 rows x 12 columns]" ] }, - "execution_count": 82, + "execution_count": 130, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Focus on the one where patterns can be extracted (pattern based on repetition, so frequency higher than 50%).\n", - "selected_primary=final_join.loc[final_join['Level']=='primary']\n", - "selected_primary" + "final['H_0']=np.where(final['Number of times repeated']-final['Min']>0,'Not Discarded', 'Denied')\n", + "final" ] }, { @@ -11146,13 +11563,6 @@ "To wrap up, we can create the second widget that is exactly the same as the previous multiple selection widget. The purpose of this widget is to enable us to choose which Continent we want to visualize. Below is the code implementation of this widget." ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, if we execute the following loop, it will provide with the variables that follow a normal distribution." - ] - }, { "cell_type": "code", "execution_count": 85, @@ -11196,6 +11606,13 @@ "----" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, if we execute the following loop, it will provide with the variables that follow a normal distribution." + ] + }, { "cell_type": "code", "execution_count": 86, @@ -64198,7 +64615,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.10.4" }, "vscode": { "interpreter": { From a0ef36026e666ec9c819ad25e9eab3885d3f171b Mon Sep 17 00:00:00 2001 From: amarchve Date: Mon, 1 Aug 2022 10:38:13 +0200 Subject: [PATCH 41/86] Code for conclusions done, without documentation --- WDI-Complete code.ipynb | 669 ++++++++++++++++++++++------------------ 1 file changed, 376 insertions(+), 293 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 99d50a5..5f9605a 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -8950,6 +8950,24 @@ "Categorization4" ] }, + { + "cell_type": "code", + "execution_count": 193, + "metadata": {}, + "outputs": [], + "source": [ + "Categorization4.to_csv(os.getcwd()+'/Data/Categorization.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 194, + "metadata": {}, + "outputs": [], + "source": [ + "Categorization4= pd.read_csv (os.getcwd()+'/Data/'+'Categorization.csv')" + ] + }, { "cell_type": "code", "execution_count": 55, @@ -10119,6 +10137,24 @@ "quarterfinal" ] }, + { + "cell_type": "code", + "execution_count": 195, + "metadata": {}, + "outputs": [], + "source": [ + "quarterfinal.to_csv(os.getcwd()+'/Data/Quarterfinal.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "quarterfinal= pd.read_csv (os.getcwd()+'/Data/'+'Quarterfinal.csv')" + ] + }, { "cell_type": "code", "execution_count": 77, @@ -10140,7 +10176,7 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": 137, "metadata": {}, "outputs": [ { @@ -10368,7 +10404,7 @@ "[9489 rows x 10 columns]" ] }, - "execution_count": 126, + "execution_count": 137, "metadata": {}, "output_type": "execute_result" } @@ -10639,7 +10675,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 138, "metadata": {}, "outputs": [ { @@ -10867,7 +10903,7 @@ "[447 rows x 10 columns]" ] }, - "execution_count": 81, + "execution_count": 138, "metadata": {}, "output_type": "execute_result" } @@ -10880,7 +10916,7 @@ }, { "cell_type": "code", - "execution_count": 120, + "execution_count": 139, "metadata": {}, "outputs": [ { @@ -10961,7 +10997,7 @@ "Military 25.0" ] }, - "execution_count": 120, + "execution_count": 139, "metadata": {}, "output_type": "execute_result" } @@ -10971,12 +11007,40 @@ "minprimary=selected_p.groupby('Group').min()\n", "minprimary['Min']=round(minprimary['Number of times repeated']*0.8)\n", "minprimary.drop(columns=['Indicator','Number of times repeated','Level'], inplace=True)\n", - "final=pd.merge(final,minprimary, left_on='Group',right_on='Group')" + "minprimary\n" ] }, { "cell_type": "code", - "execution_count": 128, + "execution_count": 143, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Demography',\n", + " 'Economy',\n", + " 'Employment',\n", + " 'Environment',\n", + " 'Exports',\n", + " 'Health',\n", + " 'Imports',\n", + " 'Military']" + ] + }, + "execution_count": 143, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "grouplist=minprimary.index.to_list()\n", + "grouplist" + ] + }, + { + "cell_type": "code", + "execution_count": 140, "metadata": {}, "outputs": [ { @@ -11099,135 +11163,137 @@ " ...\n", " \n", " \n", - " 2653\n", - " Military expenditure (current USD)\n", - " 0.778471\n", + " 2206\n", + " Urban population\n", + " 0.895844\n", " Positive\n", - " PER\n", + " CHL\n", + " 2\n", " Does not apply\n", - " Linear\n", " Latam\n", - " 31\n", - " Military\n", - " primary\n", - " 25.0\n", + " 32\n", + " Demography\n", + " secondary\n", + " 26.0\n", " \n", " \n", - " 2654\n", - " Military expenditure (current USD)\n", - " 0.927311\n", + " 2207\n", + " Urban population\n", + " 0.999778\n", " Positive\n", - " COL\n", + " PAN\n", + " 2\n", " Does not apply\n", - " Linear\n", " Latam\n", - " 31\n", - " Military\n", - " primary\n", - " 25.0\n", + " 32\n", + " Demography\n", + " secondary\n", + " 26.0\n", " \n", " \n", - " 2655\n", - " Military expenditure (current USD)\n", - " 0.937223\n", + " 2208\n", + " Urban population\n", + " 0.999123\n", " Positive\n", - " CHL\n", + " CRI\n", + " 13\n", " Does not apply\n", - " Linear\n", " Latam\n", - " 31\n", - " Military\n", - " primary\n", - " 25.0\n", + " 32\n", + " Demography\n", + " secondary\n", + " 26.0\n", " \n", " \n", - " 2656\n", - " Military expenditure (current USD)\n", - " 0.791243\n", + " 2209\n", + " Urban population\n", + " 0.999123\n", " Positive\n", " USA\n", - " 3\n", + " 13\n", " Does not apply\n", " Pair\n", - " 31\n", - " Military\n", - " primary\n", - " 25.0\n", + " 32\n", + " Demography\n", + " secondary\n", + " 26.0\n", " \n", " \n", - " 2657\n", - " Military expenditure (current USD)\n", - " 0.999695\n", + " 2210\n", + " Urban population\n", + " 1.000000\n", " Positive\n", " CHN\n", - " 5\n", " Does not apply\n", + " Cubic\n", " Pair\n", - " 31\n", - " Military\n", - " primary\n", - " 25.0\n", + " 32\n", + " Demography\n", + " secondary\n", + " 26.0\n", " \n", " \n", "\n", - "

2658 rows × 11 columns

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2211 rows × 11 columns

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"execution_count": 128, + "execution_count": 140, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "final" + "secondary=final.loc[final['Level']=='secondary']\n", + "secondary=pd.merge(secondary,minprimary, left_on='Group',right_on='Group')\n", + "secondary" ] }, { "cell_type": "code", - "execution_count": 130, + "execution_count": 187, "metadata": {}, "outputs": [ { @@ -11251,242 +11317,259 @@ " \n", " \n", " \n", - " Indicator\n", - " R^2 Spearman\n", - " Behaviour\n", - " Country\n", - " Moved\n", - " Type\n", - " Continent\n", - " Number of times repeated\n", + " Global Count\n", + " \n", + " \n", " Group\n", - " Level\n", - " Min\n", - " H_0\n", + " \n", " \n", " \n", " \n", " \n", - " 0\n", - " CO2 emissions (kt)\n", - " 0.794276\n", - " Negative\n", - " DEU\n", - " 1\n", - " Does not apply\n", - " Europe\n", - " 30\n", - " Environment\n", - " secondary\n", - " 24.0\n", - " Not Discarded\n", + " Demography\n", + " 246\n", " \n", " \n", - " 1\n", - " CO2 emissions (kt)\n", - " 0.761173\n", - " Negative\n", - " SWE\n", - " 1\n", - " Does not apply\n", - " Europe\n", - " 30\n", - " Environment\n", - " secondary\n", - " 24.0\n", - " Not Discarded\n", + " Economy\n", + " 910\n", " \n", " \n", - " 2\n", - " CO2 emissions (kt)\n", - " 0.905449\n", - " Negative\n", - " GBR\n", - " 13\n", - " Does not apply\n", - " Europe\n", - " 30\n", - " Environment\n", - " secondary\n", - " 24.0\n", - " Not Discarded\n", + " Environment\n", + " 107\n", " \n", " \n", - " 3\n", - " CO2 emissions (kt)\n", - " 0.971453\n", - " Positive\n", - " QAT\n", - " 8\n", - " Does not apply\n", - " Persian Gulf\n", - " 30\n", - " Environment\n", - " secondary\n", - " 24.0\n", - " Not Discarded\n", + " Exports\n", + " 258\n", " \n", " \n", - " 4\n", - " CO2 emissions (kt)\n", - " 0.984775\n", - " Positive\n", - " ARE\n", - " 5\n", - " Does not apply\n", - " Persian Gulf\n", - " 30\n", - " Environment\n", - " secondary\n", - " 24.0\n", - " Not Discarded\n", + " Health\n", + " 321\n", " \n", " \n", - 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"outputs": [], "source": [ @@ -10176,7 +10176,7 @@ }, { "cell_type": "code", - "execution_count": 137, + "execution_count": 210, "metadata": {}, "outputs": [ { @@ -10404,7 +10404,7 @@ "[9489 rows x 10 columns]" ] }, - "execution_count": 137, + "execution_count": 210, "metadata": {}, "output_type": "execute_result" } @@ -10426,7 +10426,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 211, "metadata": {}, "outputs": [ { @@ -10545,7 +10545,7 @@ "[403 rows x 2 columns]" ] }, - "execution_count": 79, + "execution_count": 211, "metadata": {}, "output_type": "execute_result" } @@ -10564,7 +10564,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 212, "metadata": {}, "outputs": [ { @@ -10649,7 +10649,7 @@ "4 3 541" ] }, - "execution_count": 80, + "execution_count": 212, "metadata": {}, "output_type": "execute_result" } @@ -10675,7 +10675,7 @@ }, { "cell_type": "code", - "execution_count": 138, + "execution_count": 213, "metadata": {}, "outputs": [ { @@ -10713,68 +10713,68 @@ " \n", " \n", " \n", - " 996\n", - " GNI (current US$)\n", - " 0.996337\n", + " 181\n", + " GDP per unit of energy use (PPP $ per kg of oi...\n", + " 0.779372\n", " Positive\n", " DEU\n", + " 1\n", " Does not apply\n", - " Linear\n", " Europe\n", - " 46\n", - " Economy\n", + " 29\n", + " Principal\n", " primary\n", " \n", " \n", - " 997\n", - " GNI (current US$)\n", - " 0.996337\n", + " 182\n", + " GDP per unit of energy use (PPP $ per kg of oi...\n", + " 0.798438\n", " Positive\n", " FRA\n", + " 8\n", " Does not apply\n", - " Linear\n", " Europe\n", - " 46\n", - " Economy\n", + " 29\n", + " Principal\n", " primary\n", " \n", " \n", - " 998\n", - " GNI (current US$)\n", - " 0.985388\n", + " 183\n", + " GDP per unit of energy use (PPP $ per kg of oi...\n", + " 0.782956\n", " Positive\n", " SWE\n", + " 1\n", " Does not apply\n", - " Linear\n", " Europe\n", - " 46\n", - " Economy\n", + " 29\n", + " Principal\n", " primary\n", " \n", " \n", - " 999\n", - " GNI (current US$)\n", - " 0.988302\n", + " 184\n", + " GDP per unit of energy use (PPP $ per kg of oi...\n", + " 0.907327\n", " Positive\n", " GBR\n", + " 8\n", " Does not apply\n", - " Linear\n", " Europe\n", - " 46\n", - " Economy\n", + " 29\n", + " Principal\n", " primary\n", " \n", " \n", - " 1000\n", - " GNI (current US$)\n", - " 0.998534\n", + " 185\n", + " GDP per unit of energy use (PPP $ per kg of oi...\n", + " 0.800012\n", " Positive\n", " ESP\n", + " 8\n", " Does not apply\n", - " Linear\n", " Europe\n", - " 46\n", - " Economy\n", + " 29\n", + " Principal\n", " primary\n", " \n", " \n", @@ -10791,119 +10791,119 @@ " ...\n", " \n", " \n", - " 8942\n", - " Population density (people per sq\n", - " 0.871682\n", + " 9122\n", + " Access to electricity (% of population)\n", + " 0.780517\n", " Positive\n", - " CHL\n", + " COL\n", + " 3\n", " Does not apply\n", - " km of land area).^2\n", " Latam\n", - " 33\n", - " Demography\n", + " 16\n", + " Environment\n", " primary\n", " \n", " \n", - " 8943\n", - " Population density (people per sq\n", - " 0.974500\n", + " 9123\n", + " Access to electricity (% of population)\n", + " 0.871062\n", " Positive\n", - " PAN\n", + " CHL\n", + " 2\n", " Does not apply\n", - " km of land area).^3\n", " Latam\n", - " 33\n", - " Demography\n", + " 16\n", + " Environment\n", " primary\n", " \n", " \n", - " 8944\n", - " Population density (people per sq\n", - " 0.993411\n", + " 9124\n", + " Access to electricity (% of population)\n", + " 0.977356\n", " Positive\n", - " CRI\n", + " PAN\n", + " 21\n", " Does not apply\n", - " km of land area).^3\n", " Latam\n", - " 33\n", - " Demography\n", + " 16\n", + " Environment\n", " primary\n", " \n", " \n", - " 8945\n", - " Population density (people per sq\n", - " 0.995605\n", + " 9125\n", + " Access to electricity (% of population)\n", + " 0.937042\n", " Positive\n", - " USA\n", + " CRI\n", + " 5\n", " Does not apply\n", - " km of land area).^3\n", - " Pair\n", - " 33\n", - " Demography\n", + " Latam\n", + " 16\n", + " Environment\n", " primary\n", " \n", " \n", - " 8946\n", - " Population density (people per sq\n", - " 1.000000\n", + " 9126\n", + " Access to electricity (% of population)\n", + " 0.963675\n", " Positive\n", " CHN\n", + " 5\n", " Does not apply\n", - " km of land area).^3\n", " Pair\n", - " 33\n", - " Demography\n", + " 16\n", + " Environment\n", " primary\n", " \n", " \n", "\n", - "

447 rows × 10 columns

\n", + "

872 rows × 10 columns

\n", "" ], "text/plain": [ - " Indicator R^2 Spearman Behaviour Country \\\n", - "996 GNI (current US$) 0.996337 Positive DEU \n", - "997 GNI (current US$) 0.996337 Positive FRA \n", - "998 GNI (current US$) 0.985388 Positive SWE \n", - "999 GNI (current US$) 0.988302 Positive GBR \n", - "1000 GNI (current US$) 0.998534 Positive ESP \n", - "... ... ... ... ... \n", - "8942 Population density (people per sq 0.871682 Positive CHL \n", - "8943 Population density (people per sq 0.974500 Positive PAN \n", - "8944 Population density (people per sq 0.993411 Positive CRI \n", - "8945 Population density (people per sq 0.995605 Positive USA \n", - "8946 Population density (people per sq 1.000000 Positive CHN \n", - "\n", - " Moved Type Continent \\\n", - "996 Does not apply Linear Europe \n", - "997 Does not apply Linear Europe \n", - "998 Does not apply Linear Europe \n", - "999 Does not apply Linear Europe \n", - "1000 Does not apply Linear Europe \n", - "... ... ... ... \n", - "8942 Does not apply km of land area).^2 Latam \n", - "8943 Does not apply km of land area).^3 Latam \n", - "8944 Does not apply km of land area).^3 Latam \n", - "8945 Does not apply km of land area).^3 Pair \n", - "8946 Does not apply km of land area).^3 Pair \n", - "\n", - " Number of times repeated Group Level \n", - "996 46 Economy primary \n", - "997 46 Economy primary \n", - "998 46 Economy primary \n", - "999 46 Economy primary \n", - "1000 46 Economy primary \n", - "... ... ... ... \n", - "8942 33 Demography primary \n", - "8943 33 Demography primary \n", - "8944 33 Demography primary \n", - "8945 33 Demography primary \n", - "8946 33 Demography primary \n", - "\n", - "[447 rows x 10 columns]" + " Indicator R^2 Spearman \\\n", + "181 GDP per unit of energy use (PPP $ per kg of oi... 0.779372 \n", + "182 GDP per unit of energy use (PPP $ per kg of oi... 0.798438 \n", + "183 GDP per unit of energy use (PPP $ per kg of oi... 0.782956 \n", + "184 GDP per unit of energy use (PPP $ per kg of oi... 0.907327 \n", + "185 GDP per unit of energy use (PPP $ per kg of oi... 0.800012 \n", + "... ... ... \n", + "9122 Access to electricity (% of population) 0.780517 \n", + "9123 Access to electricity (% of population) 0.871062 \n", + "9124 Access to electricity (% of population) 0.977356 \n", + "9125 Access to electricity (% of population) 0.937042 \n", + "9126 Access to electricity (% of population) 0.963675 \n", + "\n", + " Behaviour Country Moved Type Continent \\\n", + "181 Positive DEU 1 Does not apply Europe \n", + "182 Positive FRA 8 Does not apply Europe \n", + "183 Positive SWE 1 Does not apply Europe \n", + "184 Positive GBR 8 Does not apply Europe \n", + "185 Positive ESP 8 Does not apply Europe \n", + "... ... ... ... ... ... \n", + "9122 Positive COL 3 Does not apply Latam \n", + "9123 Positive CHL 2 Does not apply Latam \n", + "9124 Positive PAN 21 Does not apply Latam \n", + "9125 Positive CRI 5 Does not apply Latam \n", + "9126 Positive CHN 5 Does not apply Pair \n", + "\n", + " Number of times repeated Group Level \n", + "181 29 Principal primary \n", + "182 29 Principal primary \n", + "183 29 Principal primary \n", + "184 29 Principal primary \n", + "185 29 Principal primary \n", + "... ... ... ... \n", + "9122 16 Environment primary \n", + "9123 16 Environment primary \n", + "9124 16 Environment primary \n", + "9125 16 Environment primary \n", + "9126 16 Environment primary \n", + "\n", + "[872 rows x 10 columns]" ] }, - "execution_count": 138, + "execution_count": 213, "metadata": {}, "output_type": "execute_result" } @@ -10916,7 +10916,7 @@ }, { "cell_type": "code", - "execution_count": 139, + "execution_count": 214, "metadata": {}, "outputs": [ { @@ -10949,20 +10949,32 @@ " \n", " \n", " \n", + " A&D\n", + " 13.0\n", + " \n", + " \n", + " Agriculture\n", + " 10.0\n", + " \n", + " \n", " Demography\n", - " 26.0\n", + " 24.0\n", " \n", " \n", " Economy\n", - " 37.0\n", + " 26.0\n", " \n", " \n", " Employment\n", - " 23.0\n", + " 11.0\n", " \n", " \n", " Environment\n", - " 24.0\n", + " 13.0\n", + " \n", + " \n", + " Equality\n", + " 14.0\n", " \n", " \n", " Exports\n", @@ -10970,15 +10982,15 @@ " \n", " \n", " Health\n", - " 26.0\n", + " 9.0\n", " \n", " \n", - " Imports\n", - " 35.0\n", + " Mortality\n", + " 14.0\n", " \n", " \n", - " Military\n", - " 25.0\n", + " Principal\n", + " 23.0\n", " \n", " \n", "\n", @@ -10987,17 +10999,20 @@ "text/plain": [ " Min\n", "Group \n", - "Demography 26.0\n", - "Economy 37.0\n", - "Employment 23.0\n", - "Environment 24.0\n", + "A&D 13.0\n", + "Agriculture 10.0\n", + "Demography 24.0\n", + "Economy 26.0\n", + "Employment 11.0\n", + "Environment 13.0\n", + "Equality 14.0\n", "Exports 28.0\n", - "Health 26.0\n", - "Imports 35.0\n", - "Military 25.0" + "Health 9.0\n", + "Mortality 14.0\n", + "Principal 23.0" ] }, - "execution_count": 139, + "execution_count": 214, "metadata": {}, "output_type": "execute_result" } @@ -11012,23 +11027,26 @@ }, { "cell_type": "code", - "execution_count": 143, + "execution_count": 215, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['Demography',\n", + "['A&D',\n", + " 'Agriculture',\n", + " 'Demography',\n", " 'Economy',\n", " 'Employment',\n", " 'Environment',\n", + " 'Equality',\n", " 'Exports',\n", " 'Health',\n", - " 'Imports',\n", - " 'Military']" + " 'Mortality',\n", + " 'Principal']" ] }, - "execution_count": 143, + "execution_count": 215, "metadata": {}, "output_type": "execute_result" } @@ -11040,7 +11058,7 @@ }, { "cell_type": "code", - "execution_count": 140, + "execution_count": 216, "metadata": {}, "outputs": [ { @@ -11080,71 +11098,71 @@ " \n", " \n", " 0\n", - " CO2 emissions (kt)\n", - " 0.794276\n", + " Adolescent fertility rate (births per 1,000 wo...\n", + " 0.817804\n", " Negative\n", " DEU\n", " 1\n", " Does not apply\n", " Europe\n", - " 30\n", - " Environment\n", + " 22\n", + " Demography\n", " secondary\n", " 24.0\n", " \n", " \n", " 1\n", - " CO2 emissions (kt)\n", - " 0.761173\n", + " Adolescent fertility rate (births per 1,000 wo...\n", + " 0.759333\n", " Negative\n", " SWE\n", - " 1\n", + " 3\n", " Does not apply\n", " Europe\n", - " 30\n", - " Environment\n", + " 22\n", + " Demography\n", " secondary\n", " 24.0\n", " \n", " \n", " 2\n", - " CO2 emissions (kt)\n", - " 0.905449\n", + " Adolescent fertility rate (births per 1,000 wo...\n", + " 0.936963\n", " Negative\n", " GBR\n", " 13\n", " Does not apply\n", " Europe\n", - " 30\n", - " Environment\n", + " 22\n", + " Demography\n", " secondary\n", " 24.0\n", " \n", " \n", " 3\n", - " CO2 emissions (kt)\n", - " 0.971453\n", - " Positive\n", - " QAT\n", + " Adolescent fertility rate (births per 1,000 wo...\n", + " 0.786708\n", + " Negative\n", + " HRV\n", " 8\n", " Does not apply\n", - " Persian Gulf\n", - " 30\n", - " Environment\n", + " Europe\n", + " 22\n", + " Demography\n", " secondary\n", " 24.0\n", " \n", " \n", " 4\n", - " CO2 emissions (kt)\n", - " 0.984775\n", - " Positive\n", - " ARE\n", - " 5\n", + " Adolescent fertility rate (births per 1,000 wo...\n", + " 0.924056\n", + " Negative\n", + " POL\n", + " 21\n", " Does not apply\n", - " Persian Gulf\n", - " 30\n", - " Environment\n", + " Europe\n", + " 22\n", + " Demography\n", " secondary\n", " 24.0\n", " \n", @@ -11163,124 +11181,124 @@ " ...\n", " \n", " \n", - " 2206\n", - " Urban population\n", - " 0.895844\n", + " 4561\n", + " Crop production index (2014-2016 = 100)\n", + " 0.851083\n", " Positive\n", - " CHL\n", - " 2\n", + " COL\n", + " 8\n", " Does not apply\n", " Latam\n", - " 32\n", - " Demography\n", + " 21\n", + " Agriculture\n", " secondary\n", - " 26.0\n", + " 10.0\n", " \n", " \n", - " 2207\n", - " Urban population\n", - " 0.999778\n", + " 4562\n", + " Crop production index (2014-2016 = 100)\n", + " 0.882284\n", " Positive\n", - " PAN\n", - " 2\n", + " CHL\n", " Does not apply\n", + " Cuadratic\n", " Latam\n", - " 32\n", - " Demography\n", + " 21\n", + " Agriculture\n", " secondary\n", - " 26.0\n", + " 10.0\n", " \n", " \n", - " 2208\n", - " Urban population\n", - " 0.999123\n", + " 4563\n", + " Crop production index (2014-2016 = 100)\n", + " 0.967446\n", " Positive\n", " CRI\n", - " 13\n", " Does not apply\n", + " Cubic\n", " Latam\n", - " 32\n", - " Demography\n", + " 21\n", + " Agriculture\n", " secondary\n", - " 26.0\n", + " 10.0\n", " \n", " \n", - " 2209\n", - " Urban population\n", - " 0.999123\n", + " 4564\n", + " Crop production index (2014-2016 = 100)\n", + " 0.845314\n", " Positive\n", " USA\n", - " 13\n", " Does not apply\n", + " Linear\n", " Pair\n", - " 32\n", - " Demography\n", + " 21\n", + " Agriculture\n", " secondary\n", - " 26.0\n", + " 10.0\n", " \n", " \n", - " 2210\n", - " Urban population\n", - " 1.000000\n", + " 4565\n", + " Crop production index (2014-2016 = 100)\n", + " 0.998717\n", " Positive\n", " CHN\n", " Does not apply\n", " Cubic\n", " Pair\n", - " 32\n", - " Demography\n", + " 21\n", + " Agriculture\n", " secondary\n", - " 26.0\n", + " 10.0\n", " \n", " \n", "\n", - "

2211 rows × 11 columns

\n", + "

4566 rows × 11 columns

\n", "" ], "text/plain": [ - " Indicator R^2 Spearman Behaviour Country Moved \\\n", - "0 CO2 emissions (kt) 0.794276 Negative DEU 1 \n", - "1 CO2 emissions (kt) 0.761173 Negative SWE 1 \n", - "2 CO2 emissions (kt) 0.905449 Negative GBR 13 \n", - "3 CO2 emissions (kt) 0.971453 Positive QAT 8 \n", - "4 CO2 emissions (kt) 0.984775 Positive ARE 5 \n", - "... ... ... ... ... ... \n", - "2206 Urban population 0.895844 Positive CHL 2 \n", - "2207 Urban population 0.999778 Positive PAN 2 \n", - "2208 Urban population 0.999123 Positive CRI 13 \n", - "2209 Urban population 0.999123 Positive USA 13 \n", - "2210 Urban population 1.000000 Positive CHN Does not apply \n", - "\n", - " Type Continent Number of times repeated Group \\\n", - "0 Does not apply Europe 30 Environment \n", - "1 Does not apply Europe 30 Environment \n", - "2 Does not apply Europe 30 Environment \n", - "3 Does not apply Persian Gulf 30 Environment \n", - "4 Does not apply Persian Gulf 30 Environment \n", - "... ... ... ... ... \n", - "2206 Does not apply Latam 32 Demography \n", - "2207 Does not apply Latam 32 Demography \n", - "2208 Does not apply Latam 32 Demography \n", - "2209 Does not apply Pair 32 Demography \n", - "2210 Cubic Pair 32 Demography \n", - "\n", - " Level Min \n", - "0 secondary 24.0 \n", - "1 secondary 24.0 \n", - "2 secondary 24.0 \n", - "3 secondary 24.0 \n", - "4 secondary 24.0 \n", - "... ... ... \n", - "2206 secondary 26.0 \n", - "2207 secondary 26.0 \n", - "2208 secondary 26.0 \n", - "2209 secondary 26.0 \n", - "2210 secondary 26.0 \n", - "\n", - "[2211 rows x 11 columns]" + " Indicator R^2 Spearman \\\n", + "0 Adolescent fertility rate (births per 1,000 wo... 0.817804 \n", + "1 Adolescent fertility rate (births per 1,000 wo... 0.759333 \n", + "2 Adolescent fertility rate (births per 1,000 wo... 0.936963 \n", + "3 Adolescent fertility rate (births per 1,000 wo... 0.786708 \n", + "4 Adolescent fertility rate (births per 1,000 wo... 0.924056 \n", + "... ... ... \n", + "4561 Crop production index (2014-2016 = 100) 0.851083 \n", + "4562 Crop production index (2014-2016 = 100) 0.882284 \n", + "4563 Crop production index (2014-2016 = 100) 0.967446 \n", + "4564 Crop production index (2014-2016 = 100) 0.845314 \n", + "4565 Crop production index (2014-2016 = 100) 0.998717 \n", + "\n", + " Behaviour Country Moved Type Continent \\\n", + "0 Negative DEU 1 Does not apply Europe \n", + "1 Negative SWE 3 Does not apply Europe \n", + "2 Negative GBR 13 Does not apply Europe \n", + "3 Negative HRV 8 Does not apply Europe \n", + "4 Negative POL 21 Does not apply Europe \n", + "... ... ... ... ... ... \n", + "4561 Positive COL 8 Does not apply Latam \n", + "4562 Positive CHL Does not apply Cuadratic Latam \n", + "4563 Positive CRI Does not apply Cubic Latam \n", + "4564 Positive USA Does not apply Linear Pair \n", + "4565 Positive CHN Does not apply Cubic Pair \n", + "\n", + " Number of times repeated Group Level Min \n", + "0 22 Demography secondary 24.0 \n", + "1 22 Demography secondary 24.0 \n", + "2 22 Demography secondary 24.0 \n", + "3 22 Demography secondary 24.0 \n", + "4 22 Demography secondary 24.0 \n", + "... ... ... ... ... \n", + "4561 21 Agriculture secondary 10.0 \n", + "4562 21 Agriculture secondary 10.0 \n", + "4563 21 Agriculture secondary 10.0 \n", + "4564 21 Agriculture secondary 10.0 \n", + "4565 21 Agriculture secondary 10.0 \n", + "\n", + "[4566 rows x 11 columns]" ] }, - "execution_count": 140, + "execution_count": 216, "metadata": {}, "output_type": "execute_result" } @@ -11293,7 +11311,7 @@ }, { "cell_type": "code", - "execution_count": 187, + "execution_count": 217, "metadata": {}, "outputs": [ { @@ -11326,28 +11344,44 @@ " \n", " \n", " \n", + " Agriculture\n", + " 244\n", + " \n", + " \n", " Demography\n", - " 246\n", + " 517\n", " \n", " \n", " Economy\n", - " 910\n", + " 1313\n", + " \n", + " \n", + " Employment\n", + " 83\n", " \n", " \n", " Environment\n", - " 107\n", + " 612\n", + " \n", + " \n", + " Equality\n", + " 56\n", " \n", " \n", " Exports\n", - " 258\n", + " 409\n", " \n", " \n", " Health\n", - " 321\n", + " 731\n", + " \n", + " \n", + " Mortality\n", + " 522\n", " \n", " \n", - " Imports\n", - " 369\n", + " Principal\n", + " 79\n", " \n", " \n", "\n", @@ -11356,15 +11390,19 @@ "text/plain": [ " Global Count\n", "Group \n", - "Demography 246\n", - "Economy 910\n", - "Environment 107\n", - "Exports 258\n", - "Health 321\n", - "Imports 369" + "Agriculture 244\n", + "Demography 517\n", + "Economy 1313\n", + "Employment 83\n", + "Environment 612\n", + "Equality 56\n", + "Exports 409\n", + "Health 731\n", + "Mortality 522\n", + "Principal 79" ] }, - "execution_count": 187, + "execution_count": 217, "metadata": {}, "output_type": "execute_result" } @@ -11378,7 +11416,7 @@ }, { "cell_type": "code", - "execution_count": 188, + "execution_count": 218, "metadata": {}, "outputs": [ { @@ -11411,28 +11449,44 @@ " \n", " \n", " \n", + " Agriculture\n", + " 244\n", + " \n", + " \n", " Demography\n", - " 204\n", + " 186\n", " \n", " \n", " Economy\n", - " 562\n", + " 659\n", + " \n", + " \n", + " Employment\n", + " 83\n", " \n", " \n", " Environment\n", - " 107\n", + " 450\n", + " \n", + " \n", + " Equality\n", + " 33\n", " \n", " \n", " Exports\n", - " 224\n", + " 263\n", " \n", " \n", " Health\n", - " 321\n", + " 731\n", + " \n", + " \n", + " Mortality\n", + " 482\n", " \n", " \n", - " Imports\n", - " 293\n", + " Principal\n", + " 79\n", " \n", " \n", "\n", @@ -11441,15 +11495,19 @@ "text/plain": [ " Secondary Count\n", "Group \n", - "Demography 204\n", - "Economy 562\n", - "Environment 107\n", - "Exports 224\n", - "Health 321\n", - "Imports 293" + "Agriculture 244\n", + "Demography 186\n", + "Economy 659\n", + "Employment 83\n", + "Environment 450\n", + "Equality 33\n", + "Exports 263\n", + "Health 731\n", + "Mortality 482\n", + "Principal 79" ] }, - "execution_count": 188, + "execution_count": 218, "metadata": {}, "output_type": "execute_result" } @@ -11465,7 +11523,7 @@ }, { "cell_type": "code", - "execution_count": 192, + "execution_count": 219, "metadata": {}, "outputs": [ { @@ -11502,40 +11560,64 @@ " \n", " \n", " \n", - " Demography\n", - " 246\n", - " 204\n", + " Agriculture\n", + " 244\n", + " 244\n", " Yes\n", " \n", " \n", + " Demography\n", + " 517\n", + " 186\n", + " No\n", + " \n", + " \n", " Economy\n", - " 910\n", - " 562\n", + " 1313\n", + " 659\n", " No\n", " \n", " \n", - " Environment\n", - " 107\n", - " 107\n", + " Employment\n", + " 83\n", + " 83\n", " Yes\n", " \n", " \n", + " Environment\n", + " 612\n", + " 450\n", + " No\n", + " \n", + " \n", + " Equality\n", + " 56\n", + " 33\n", + " No\n", + " \n", + " \n", " Exports\n", - " 258\n", - " 224\n", - " Yes\n", + " 409\n", + " 263\n", + " No\n", " \n", " \n", " Health\n", - " 321\n", - " 321\n", + " 731\n", + " 731\n", " Yes\n", " \n", " \n", - " Imports\n", - " 369\n", - " 293\n", - " No\n", + " Mortality\n", + " 522\n", + " 482\n", + " Yes\n", + " \n", + " \n", + " Principal\n", + " 79\n", + " 79\n", + " Yes\n", " \n", " \n", "\n", @@ -11544,24 +11626,32 @@ "text/plain": [ " Global Count Secondary Count \\\n", "Group \n", - "Demography 246 204 \n", - "Economy 910 562 \n", - "Environment 107 107 \n", - "Exports 258 224 \n", - "Health 321 321 \n", - "Imports 369 293 \n", + "Agriculture 244 244 \n", + "Demography 517 186 \n", + "Economy 1313 659 \n", + "Employment 83 83 \n", + "Environment 612 450 \n", + "Equality 56 33 \n", + "Exports 409 263 \n", + "Health 731 731 \n", + "Mortality 522 482 \n", + "Principal 79 79 \n", "\n", " Useful as a basis for decision making \n", "Group \n", - "Demography Yes \n", + "Agriculture Yes \n", + "Demography No \n", "Economy No \n", - "Environment Yes \n", - "Exports Yes \n", + "Employment Yes \n", + "Environment No \n", + "Equality No \n", + "Exports No \n", "Health Yes \n", - "Imports No " + "Mortality Yes \n", + "Principal Yes " ] }, - "execution_count": 192, + "execution_count": 219, "metadata": {}, "output_type": "execute_result" } From 5e520745c269083d8aea7c9ca397203c1523f163 Mon Sep 17 00:00:00 2001 From: amarchve Date: Mon, 1 Aug 2022 12:38:37 +0200 Subject: [PATCH 43/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 23 ++++++++++------------- 1 file changed, 10 insertions(+), 13 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index d095a24..15d03fa 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -11738,22 +11738,19 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 221, "metadata": {}, "outputs": [ { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "3e5e839dbbd24424855ce83987136f6f", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(SelectMultiple(description='Continent', index=(0,), layout=Layout(height='80px', width='…" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "NameError", + "evalue": "name 'final_join' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\Users\\amarchve\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 162\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m unique_tric1\u001b[39m=\u001b[39mfinal_join[\u001b[39m'\u001b[39m\u001b[39mContinent\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39munique()\n\u001b[0;32m 2\u001b[0m unique_tric2\u001b[39m=\u001b[39mfinal_join[\u001b[39m'\u001b[39m\u001b[39mGroup\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39munique()\n\u001b[0;32m 4\u001b[0m tric1\u001b[39m=\u001b[39mwidgets\u001b[39m.\u001b[39mSelectMultiple(options\u001b[39m=\u001b[39munique_tric1\u001b[39m.\u001b[39mtolist(),value\u001b[39m=\u001b[39m[\u001b[39m'\u001b[39m\u001b[39mEurope\u001b[39m\u001b[39m'\u001b[39m],description\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mContinent\u001b[39m\u001b[39m'\u001b[39m,disabled\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m,layout\u001b[39m=\u001b[39mLayout(width\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m50\u001b[39m\u001b[39m%\u001b[39m\u001b[39m'\u001b[39m,height\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m80px\u001b[39m\u001b[39m'\u001b[39m))\n", + "\u001b[1;31mNameError\u001b[0m: name 'final_join' is not defined" + ] } ], "source": [ From 545edb9814f26ebc62ae55896455d4c08c88b70f Mon Sep 17 00:00:00 2001 From: Mferna38 Date: Mon, 1 Aug 2022 14:43:22 +0200 Subject: [PATCH 44/86] 2 Graphs added --- WDI-Complete code.ipynb | 506 ++++++++++++++-------------------------- 1 file changed, 177 insertions(+), 329 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 15d03fa..72533ec 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -952,7 +952,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -2877,14 +2877,29 @@ "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "685787" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 55\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(\u001b[39m1\u001b[39m,\u001b[39mlen\u001b[39m(country_list)):\n\u001b[0;32m 7\u001b[0m dat\u001b[39m=\u001b[39mdf\u001b[39m.\u001b[39mloc[df\u001b[39m.\u001b[39mloc[:, \u001b[39m'\u001b[39m\u001b[39mCountry\u001b[39m\u001b[39m'\u001b[39m] \u001b[39m==\u001b[39m country_list[i]]\n\u001b[1;32m----> 8\u001b[0m datc\u001b[39m=\u001b[39mdat\u001b[39m.\u001b[39;49minterpolate(method\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mlinear\u001b[39;49m\u001b[39m\"\u001b[39;49m)\n\u001b[0;32m 9\u001b[0m datc\u001b[39m=\u001b[39mdatc\u001b[39m.\u001b[39mfillna(method\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mffill\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m 10\u001b[0m data\u001b[39m=\u001b[39mpd\u001b[39m.\u001b[39mconcat((data, datc), axis \u001b[39m=\u001b[39m \u001b[39m0\u001b[39m)\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\util\\_decorators.py:311\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments..decorate..wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 305\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(args) \u001b[39m>\u001b[39m num_allow_args:\n\u001b[0;32m 306\u001b[0m warnings\u001b[39m.\u001b[39mwarn(\n\u001b[0;32m 307\u001b[0m msg\u001b[39m.\u001b[39mformat(arguments\u001b[39m=\u001b[39marguments),\n\u001b[0;32m 308\u001b[0m \u001b[39mFutureWarning\u001b[39;00m,\n\u001b[0;32m 309\u001b[0m stacklevel\u001b[39m=\u001b[39mstacklevel,\n\u001b[0;32m 310\u001b[0m )\n\u001b[1;32m--> 311\u001b[0m \u001b[39mreturn\u001b[39;00m func(\u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\frame.py:10931\u001b[0m, in \u001b[0;36mDataFrame.interpolate\u001b[1;34m(self, method, axis, limit, inplace, limit_direction, limit_area, downcast, **kwargs)\u001b[0m\n\u001b[0;32m 10919\u001b[0m \u001b[39m@deprecate_nonkeyword_arguments\u001b[39m(version\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m, allowed_args\u001b[39m=\u001b[39m[\u001b[39m\"\u001b[39m\u001b[39mself\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mmethod\u001b[39m\u001b[39m\"\u001b[39m])\n\u001b[0;32m 10920\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39minterpolate\u001b[39m(\n\u001b[0;32m 10921\u001b[0m \u001b[39mself\u001b[39m: DataFrame,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 10929\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 10930\u001b[0m ) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m DataFrame \u001b[39m|\u001b[39m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m> 10931\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39msuper\u001b[39m()\u001b[39m.\u001b[39minterpolate(\n\u001b[0;32m 10932\u001b[0m method,\n\u001b[0;32m 10933\u001b[0m axis,\n\u001b[0;32m 10934\u001b[0m limit,\n\u001b[0;32m 10935\u001b[0m inplace,\n\u001b[0;32m 10936\u001b[0m limit_direction,\n\u001b[0;32m 10937\u001b[0m limit_area,\n\u001b[0;32m 10938\u001b[0m downcast,\n\u001b[0;32m 10939\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 10940\u001b[0m )\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\generic.py:7034\u001b[0m, in \u001b[0;36mNDFrame.interpolate\u001b[1;34m(self, method, axis, limit, inplace, limit_direction, limit_area, downcast, **kwargs)\u001b[0m\n\u001b[0;32m 7028\u001b[0m \u001b[39mif\u001b[39;00m isna(index)\u001b[39m.\u001b[39many():\n\u001b[0;32m 7029\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mNotImplementedError\u001b[39;00m(\n\u001b[0;32m 7030\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mInterpolation with NaNs in the index \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 7031\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mhas not been implemented. Try filling \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 7032\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mthose NaNs before interpolating.\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 7033\u001b[0m )\n\u001b[1;32m-> 7034\u001b[0m new_data \u001b[39m=\u001b[39m obj\u001b[39m.\u001b[39m_mgr\u001b[39m.\u001b[39minterpolate(\n\u001b[0;32m 7035\u001b[0m method\u001b[39m=\u001b[39mmethod,\n\u001b[0;32m 7036\u001b[0m axis\u001b[39m=\u001b[39maxis,\n\u001b[0;32m 7037\u001b[0m index\u001b[39m=\u001b[39mindex,\n\u001b[0;32m 7038\u001b[0m limit\u001b[39m=\u001b[39mlimit,\n\u001b[0;32m 7039\u001b[0m limit_direction\u001b[39m=\u001b[39mlimit_direction,\n\u001b[0;32m 7040\u001b[0m limit_area\u001b[39m=\u001b[39mlimit_area,\n\u001b[0;32m 7041\u001b[0m inplace\u001b[39m=\u001b[39minplace,\n\u001b[0;32m 7042\u001b[0m downcast\u001b[39m=\u001b[39mdowncast,\n\u001b[0;32m 7043\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 7044\u001b[0m )\n\u001b[0;32m 7046\u001b[0m result \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_constructor(new_data)\n\u001b[0;32m 7047\u001b[0m \u001b[39mif\u001b[39;00m should_transpose:\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\internals\\managers.py:359\u001b[0m, in \u001b[0;36mBaseBlockManager.interpolate\u001b[1;34m(self, **kwargs)\u001b[0m\n\u001b[0;32m 358\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39minterpolate\u001b[39m(\u001b[39mself\u001b[39m: T, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m T:\n\u001b[1;32m--> 359\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mapply(\u001b[39m\"\u001b[39m\u001b[39minterpolate\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\internals\\managers.py:304\u001b[0m, in \u001b[0;36mBaseBlockManager.apply\u001b[1;34m(self, f, align_keys, ignore_failures, **kwargs)\u001b[0m\n\u001b[0;32m 302\u001b[0m applied \u001b[39m=\u001b[39m b\u001b[39m.\u001b[39mapply(f, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[0;32m 303\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m--> 304\u001b[0m applied \u001b[39m=\u001b[39m \u001b[39mgetattr\u001b[39m(b, f)(\u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[0;32m 305\u001b[0m \u001b[39mexcept\u001b[39;00m (\u001b[39mTypeError\u001b[39;00m, \u001b[39mNotImplementedError\u001b[39;00m):\n\u001b[0;32m 306\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m ignore_failures:\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\internals\\blocks.py:1099\u001b[0m, in \u001b[0;36mBlock.interpolate\u001b[1;34m(self, method, axis, index, inplace, limit, limit_direction, limit_area, fill_value, coerce, downcast, **kwargs)\u001b[0m\n\u001b[0;32m 1096\u001b[0m data \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mvalues \u001b[39mif\u001b[39;00m inplace \u001b[39melse\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mvalues\u001b[39m.\u001b[39mcopy()\n\u001b[0;32m 1097\u001b[0m data \u001b[39m=\u001b[39m cast(np\u001b[39m.\u001b[39mndarray, data) \u001b[39m# bc overridden by ExtensionBlock\u001b[39;00m\n\u001b[1;32m-> 1099\u001b[0m missing\u001b[39m.\u001b[39minterpolate_array_2d(\n\u001b[0;32m 1100\u001b[0m data,\n\u001b[0;32m 1101\u001b[0m method\u001b[39m=\u001b[39mmethod,\n\u001b[0;32m 1102\u001b[0m axis\u001b[39m=\u001b[39maxis,\n\u001b[0;32m 1103\u001b[0m index\u001b[39m=\u001b[39mindex,\n\u001b[0;32m 1104\u001b[0m limit\u001b[39m=\u001b[39mlimit,\n\u001b[0;32m 1105\u001b[0m limit_direction\u001b[39m=\u001b[39mlimit_direction,\n\u001b[0;32m 1106\u001b[0m limit_area\u001b[39m=\u001b[39mlimit_area,\n\u001b[0;32m 1107\u001b[0m fill_value\u001b[39m=\u001b[39mfill_value,\n\u001b[0;32m 1108\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 1109\u001b[0m )\n\u001b[0;32m 1111\u001b[0m nb \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmake_block_same_class(data)\n\u001b[0;32m 1112\u001b[0m \u001b[39mreturn\u001b[39;00m nb\u001b[39m.\u001b[39m_maybe_downcast([nb], downcast)\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\missing.py:249\u001b[0m, in \u001b[0;36minterpolate_array_2d\u001b[1;34m(data, method, axis, index, limit, limit_direction, limit_area, fill_value, coerce, downcast, **kwargs)\u001b[0m\n\u001b[0;32m 246\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 247\u001b[0m \u001b[39massert\u001b[39;00m index \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39m# for mypy\u001b[39;00m\n\u001b[1;32m--> 249\u001b[0m _interpolate_2d_with_fill(\n\u001b[0;32m 250\u001b[0m data\u001b[39m=\u001b[39mdata,\n\u001b[0;32m 251\u001b[0m index\u001b[39m=\u001b[39mindex,\n\u001b[0;32m 252\u001b[0m axis\u001b[39m=\u001b[39maxis,\n\u001b[0;32m 253\u001b[0m method\u001b[39m=\u001b[39mmethod,\n\u001b[0;32m 254\u001b[0m limit\u001b[39m=\u001b[39mlimit,\n\u001b[0;32m 255\u001b[0m limit_direction\u001b[39m=\u001b[39mlimit_direction,\n\u001b[0;32m 256\u001b[0m limit_area\u001b[39m=\u001b[39mlimit_area,\n\u001b[0;32m 257\u001b[0m fill_value\u001b[39m=\u001b[39mfill_value,\n\u001b[0;32m 258\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 259\u001b[0m )\n\u001b[0;32m 260\u001b[0m \u001b[39mreturn\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\missing.py:344\u001b[0m, in \u001b[0;36m_interpolate_2d_with_fill\u001b[1;34m(data, index, axis, method, limit, limit_direction, limit_area, fill_value, **kwargs)\u001b[0m\n\u001b[0;32m 324\u001b[0m _interpolate_1d(\n\u001b[0;32m 325\u001b[0m indices\u001b[39m=\u001b[39mindices,\n\u001b[0;32m 326\u001b[0m yvalues\u001b[39m=\u001b[39myvalues,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 333\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 334\u001b[0m )\n\u001b[0;32m 336\u001b[0m \u001b[39m# Argument 1 to \"apply_along_axis\" has incompatible type\u001b[39;00m\n\u001b[0;32m 337\u001b[0m \u001b[39m# \"Callable[[ndarray[Any, Any]], None]\"; expected\u001b[39;00m\n\u001b[0;32m 338\u001b[0m \u001b[39m# \"Callable[..., Union[_SupportsArray[dtype[]],\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 342\u001b[0m \u001b[39m# Sequence[Sequence[Sequence[Sequence[_SupportsArray[dtype[]]]]]]]]\"\u001b[39;00m\n\u001b[0;32m 343\u001b[0m \u001b[39m# interp each column independently\u001b[39;00m\n\u001b[1;32m--> 344\u001b[0m np\u001b[39m.\u001b[39;49mapply_along_axis(func, axis, data) \u001b[39m# type: ignore[arg-type]\u001b[39;00m\n\u001b[0;32m 345\u001b[0m \u001b[39mreturn\u001b[39;00m\n", + "File \u001b[1;32m<__array_function__ internals>:180\u001b[0m, in \u001b[0;36mapply_along_axis\u001b[1;34m(*args, **kwargs)\u001b[0m\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\numpy\\lib\\shape_base.py:402\u001b[0m, in \u001b[0;36mapply_along_axis\u001b[1;34m(func1d, axis, arr, *args, **kwargs)\u001b[0m\n\u001b[0;32m 400\u001b[0m buff[ind0] \u001b[39m=\u001b[39m res\n\u001b[0;32m 401\u001b[0m \u001b[39mfor\u001b[39;00m ind \u001b[39min\u001b[39;00m inds:\n\u001b[1;32m--> 402\u001b[0m buff[ind] \u001b[39m=\u001b[39m asanyarray(func1d(inarr_view[ind], \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs))\n\u001b[0;32m 404\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39misinstance\u001b[39m(res, matrix):\n\u001b[0;32m 405\u001b[0m \u001b[39m# wrap the array, to preserve subclasses\u001b[39;00m\n\u001b[0;32m 406\u001b[0m buff \u001b[39m=\u001b[39m res\u001b[39m.\u001b[39m__array_wrap__(buff)\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\missing.py:324\u001b[0m, in \u001b[0;36m_interpolate_2d_with_fill..func\u001b[1;34m(yvalues)\u001b[0m\n\u001b[0;32m 321\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mfunc\u001b[39m(yvalues: np\u001b[39m.\u001b[39mndarray) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 322\u001b[0m \u001b[39m# process 1-d slices in the axis direction\u001b[39;00m\n\u001b[1;32m--> 324\u001b[0m _interpolate_1d(\n\u001b[0;32m 325\u001b[0m indices\u001b[39m=\u001b[39mindices,\n\u001b[0;32m 326\u001b[0m yvalues\u001b[39m=\u001b[39myvalues,\n\u001b[0;32m 327\u001b[0m method\u001b[39m=\u001b[39mmethod,\n\u001b[0;32m 328\u001b[0m limit\u001b[39m=\u001b[39mlimit,\n\u001b[0;32m 329\u001b[0m limit_direction\u001b[39m=\u001b[39mlimit_direction,\n\u001b[0;32m 330\u001b[0m limit_area\u001b[39m=\u001b[39mlimit_area,\n\u001b[0;32m 331\u001b[0m fill_value\u001b[39m=\u001b[39mfill_value,\n\u001b[0;32m 332\u001b[0m bounds_error\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m,\n\u001b[0;32m 333\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 334\u001b[0m )\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\missing.py:451\u001b[0m, in \u001b[0;36m_interpolate_1d\u001b[1;34m(indices, yvalues, method, limit, limit_direction, limit_area, fill_value, bounds_error, order, **kwargs)\u001b[0m\n\u001b[0;32m 447\u001b[0m \u001b[39mif\u001b[39;00m method \u001b[39min\u001b[39;00m NP_METHODS:\n\u001b[0;32m 448\u001b[0m \u001b[39m# np.interp requires sorted X values, #21037\u001b[39;00m\n\u001b[0;32m 450\u001b[0m indexer \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39margsort(indices[valid])\n\u001b[1;32m--> 451\u001b[0m yvalues[invalid] \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49minterp(\n\u001b[0;32m 452\u001b[0m indices[invalid], indices[valid][indexer], yvalues[valid][indexer]\n\u001b[0;32m 453\u001b[0m )\n\u001b[0;32m 454\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 455\u001b[0m yvalues[invalid] \u001b[39m=\u001b[39m _interpolate_scipy_wrapper(\n\u001b[0;32m 456\u001b[0m indices[valid],\n\u001b[0;32m 457\u001b[0m yvalues[valid],\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 463\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 464\u001b[0m )\n", + "File \u001b[1;32m<__array_function__ internals>:180\u001b[0m, in \u001b[0;36minterp\u001b[1;34m(*args, **kwargs)\u001b[0m\n", + "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\numpy\\lib\\function_base.py:1570\u001b[0m, in \u001b[0;36minterp\u001b[1;34m(x, xp, fp, left, right, period)\u001b[0m\n\u001b[0;32m 1567\u001b[0m xp \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mconcatenate((xp[\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m:]\u001b[39m-\u001b[39mperiod, xp, xp[\u001b[39m0\u001b[39m:\u001b[39m1\u001b[39m]\u001b[39m+\u001b[39mperiod))\n\u001b[0;32m 1568\u001b[0m fp \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mconcatenate((fp[\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m:], fp, fp[\u001b[39m0\u001b[39m:\u001b[39m1\u001b[39m]))\n\u001b[1;32m-> 1570\u001b[0m \u001b[39mreturn\u001b[39;00m interp_func(x, xp, fp, left, right)\n", + "\u001b[1;31mKeyboardInterrupt\u001b[0m: " + ] } ], "source": [ @@ -2903,7 +2918,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -2940,7 +2955,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -2986,7 +3001,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -3597,7 +3612,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -4571,7 +4586,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -4580,7 +4595,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -4593,7 +4608,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -5178,7 +5193,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -5729,7 +5744,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -5752,7 +5767,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -5784,7 +5799,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -6320,7 +6335,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -6329,7 +6344,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -6353,7 +6368,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -6363,7 +6378,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -6569,7 +6584,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -6770,7 +6785,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -6786,7 +6801,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -7010,7 +7025,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -7235,7 +7250,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -7459,7 +7474,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -7695,7 +7710,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -7943,7 +7958,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -8191,7 +8206,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -8208,7 +8223,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -8455,7 +8470,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -8711,7 +8726,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -8952,7 +8967,7 @@ }, { "cell_type": "code", - "execution_count": 193, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -8961,7 +8976,7 @@ }, { "cell_type": "code", - "execution_count": 194, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -8970,7 +8985,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -8979,7 +8994,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -8997,7 +9012,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9022,7 +9037,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -9062,7 +9077,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9071,7 +9086,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9109,7 +9124,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9131,7 +9146,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9149,7 +9164,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9169,7 +9184,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9189,7 +9204,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9211,7 +9226,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9233,7 +9248,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9260,7 +9275,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9278,7 +9293,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -9554,7 +9569,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9564,7 +9579,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -9700,7 +9715,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9712,7 +9727,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9722,7 +9737,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -9760,7 +9775,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -9956,7 +9971,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -10139,7 +10154,7 @@ }, { "cell_type": "code", - "execution_count": 195, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -10157,7 +10172,7 @@ }, { "cell_type": "code", - "execution_count": 208, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -10167,7 +10182,7 @@ }, { "cell_type": "code", - "execution_count": 209, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -10176,7 +10191,7 @@ }, { "cell_type": "code", - "execution_count": 210, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -10426,7 +10441,7 @@ }, { "cell_type": "code", - "execution_count": 211, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -10564,7 +10579,7 @@ }, { "cell_type": "code", - "execution_count": 212, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -10666,257 +10681,9 @@ "final_moved" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "VISUALIZATION OF DATA" - ] - }, { "cell_type": "code", - "execution_count": 213, - "metadata": {}, - 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IndicatorR^2 SpearmanBehaviourCountryMovedTypeContinentNumber of times repeatedGroupLevel
181GDP per unit of energy use (PPP $ per kg of oi...0.779372PositiveDEU1Does not applyEurope29Principalprimary
182GDP per unit of energy use (PPP $ per kg of oi...0.798438PositiveFRA8Does not applyEurope29Principalprimary
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185GDP per unit of energy use (PPP $ per kg of oi...0.800012PositiveESP8Does not applyEurope29Principalprimary
.................................
9122Access to electricity (% of population)0.780517PositiveCOL3Does not applyLatam16Environmentprimary
9123Access to electricity (% of population)0.871062PositiveCHL2Does not applyLatam16Environmentprimary
9124Access to electricity (% of population)0.977356PositivePAN21Does not applyLatam16Environmentprimary
9125Access to electricity (% of population)0.937042PositiveCRI5Does not applyLatam16Environmentprimary
9126Access to electricity (% of population)0.963675PositiveCHN5Does not applyPair16Environmentprimary
\n", - "

872 rows × 10 columns

\n", - "
" - ], - "text/plain": [ - " Indicator R^2 Spearman \\\n", - "181 GDP per unit of energy use (PPP $ per kg of oi... 0.779372 \n", - "182 GDP per unit of energy use (PPP $ per kg of oi... 0.798438 \n", - "183 GDP per unit of energy use (PPP $ per kg of oi... 0.782956 \n", - "184 GDP per unit of energy use (PPP $ per kg of oi... 0.907327 \n", - "185 GDP per unit of energy use (PPP $ per kg of oi... 0.800012 \n", - "... ... ... \n", - "9122 Access to electricity (% of population) 0.780517 \n", - "9123 Access to electricity (% of population) 0.871062 \n", - "9124 Access to electricity (% of population) 0.977356 \n", - "9125 Access to electricity (% of population) 0.937042 \n", - "9126 Access to electricity (% of population) 0.963675 \n", - "\n", - " Behaviour Country Moved Type Continent \\\n", - "181 Positive DEU 1 Does not apply Europe \n", - "182 Positive FRA 8 Does not apply Europe \n", - "183 Positive SWE 1 Does not apply Europe \n", - "184 Positive GBR 8 Does not apply Europe \n", - "185 Positive ESP 8 Does not apply Europe \n", - "... ... ... ... ... ... \n", - "9122 Positive COL 3 Does not apply Latam \n", - "9123 Positive CHL 2 Does not apply Latam \n", - "9124 Positive PAN 21 Does not apply Latam \n", - "9125 Positive CRI 5 Does not apply Latam \n", - "9126 Positive CHN 5 Does not apply Pair \n", - "\n", - " Number of times repeated Group Level \n", - "181 29 Principal primary \n", - "182 29 Principal primary \n", - "183 29 Principal primary \n", - "184 29 Principal primary \n", - "185 29 Principal primary \n", - "... ... ... ... \n", - "9122 16 Environment primary \n", - "9123 16 Environment primary \n", - "9124 16 Environment primary \n", - "9125 16 Environment primary \n", - "9126 16 Environment primary \n", - "\n", - "[872 rows x 10 columns]" - ] - }, - "execution_count": 213, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Focus on the one where patterns can be extracted (pattern based on repetition, so frequency higher than 50%).\n", - "selected_primary=final.loc[final['Level']=='primary']\n", - "selected_primary" - ] - }, - { - "cell_type": "code", - "execution_count": 214, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -11027,7 +10794,7 @@ }, { "cell_type": "code", - "execution_count": 215, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -11058,7 +10825,7 @@ }, { "cell_type": "code", - "execution_count": 216, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -11311,7 +11078,7 @@ }, { "cell_type": "code", - "execution_count": 217, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -11416,7 +11183,7 @@ }, { "cell_type": "code", - "execution_count": 218, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -11523,7 +11290,7 @@ }, { "cell_type": "code", - "execution_count": 219, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -11664,7 +11431,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -11682,16 +11449,97 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now that we’ve loaded the data, we can start right away to create widgets. These widgets are essentials to add interactivity to our visualizations. We’re going to use two widgets: both, multiple selection widgets. To create these widgets, we can use `ipywidgets` library that is available for Jupyter Notebook.\n", + "Now that we’ve loaded the data, we can start right away to create widgets. These widgets are essentials to add interactivity to our visualizations." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#COUNT HISTOGRAM: Graph for seeing the frequency of the relevant primary indicators for each region.\n", + "selected_primary=final.loc[final['Level']=='primary']\n", + "selected_primary=selected_primary.loc[selected_primary['Number of times repeated']>=11]\n", "\n", - "The first widget that we are going to create is the multiple selection widget. We can do this by using `SelectMultiple()attribute` from `ipywidgets`. With this widget, we have the option to visualize the R^2 only in particular selection of indicators instead of all.\n", + "continents=list(selected_primary['Continent'].unique())\n", "\n", - "The first argument that we should specify is `options` , which should contain the list of available options of our variable (in our case different indicators). The next one is `value` , which should contain the variable values that we want to display as default, and then `description` is for the text field to describe the name of the widget.The rest of options are just visual details." + "fig=px.histogram(selected_primary,x='Indicator',histfunc=\"count\",color='Group',text_auto=True,title=\"Indicators frequency by continents\").update_xaxes(categoryorder=\"total descending\")\n", + "\n", + "buttons = []\n", + "for continent in continents:\n", + " selected_primary_c = selected_primary.loc[(selected_primary['Continent'] == continent)]\n", + " fig_continent = px.histogram(selected_primary_c, x='Indicator', color='Group').update_xaxes(categoryorder=\"total descending\")\n", + " buttons.append(\n", + " dict(\n", + " label=continent,\n", + " method=\"update\",\n", + " args=[\n", + " {\n", + " \"x\": [trace['x'] for trace in fig_continent._data],\n", + " }\n", + " ]\n", + " )\n", + " )\n", + "\n", + "fig.update_layout(\n", + " updatemenus=[\n", + " dict(\n", + " type=\"dropdown\",\n", + " direction=\"down\",\n", + " showactive=True,\n", + " buttons=buttons\n", + " )\n", + " ]\n", + ")\n", + "\n", + "fig.show()" ] }, { "cell_type": "code", - "execution_count": 84, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#TREEMAP: Graph for seeing the correlation of each indicator in each country.\n", + "fig2=px.treemap(selected_primary,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu')\n", + "\n", + "indics=list(selected_primary['Indicator'].unique())\n", + "buttons = []\n", + "for indic in indics:\n", + " selected_primary_i = selected_primary.loc[(selected_primary['Indicator'] == indic)]\n", + " fig_indicator = px.treemap(selected_primary_i,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman')\n", + " buttons.append(\n", + " dict(\n", + " label=indic,\n", + " method=\"update\",\n", + " args=[]\n", + " )\n", + " )\n", + "\n", + "fig2.update_layout(\n", + " updatemenus=[\n", + " dict(\n", + " type=\"dropdown\",\n", + " direction=\"down\",\n", + " showactive=True,\n", + " buttons=buttons\n", + " )\n", + " ]\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "DRAFT GRAPHS" + ] + }, + { + "cell_type": "code", + "execution_count": null, "metadata": {}, "outputs": [ { @@ -11738,7 +11586,7 @@ }, { "cell_type": "code", - "execution_count": 221, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -11785,7 +11633,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -64771,7 +64619,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3.10.4 ('.venv': poetry)", "language": "python", "name": "python3" }, @@ -64789,7 +64637,7 @@ }, "vscode": { "interpreter": { - "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" + "hash": "292912297167048338b5d1136ec8c661b8a2f1d3fcecd6650d637809a967c218" } } }, From 5f6c57aab0eeed245c3ed39214e38c3caf5586a0 Mon Sep 17 00:00:00 2001 From: Mferna38 Date: Mon, 1 Aug 2022 14:44:11 +0200 Subject: [PATCH 45/86] Args[] to resolve --- WDI-Complete code.ipynb | 2 ++ 1 file changed, 2 insertions(+) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 72533ec..06a9826 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -11503,6 +11503,8 @@ "outputs": [], "source": [ "#TREEMAP: Graph for seeing the correlation of each indicator in each country.\n", + "#To resolve args[], but it works.\n", + "\n", "fig2=px.treemap(selected_primary,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu')\n", "\n", "indics=list(selected_primary['Indicator'].unique())\n", From c7c9b25aa48a5c50f07669e62bb74aa705471522 Mon Sep 17 00:00:00 2001 From: amarchve Date: Mon, 1 Aug 2022 14:59:54 +0200 Subject: [PATCH 46/86] updated final table --- WDI-Complete code.ipynb | 518 +++++++++++++++++++++++++++++++++------- 1 file changed, 434 insertions(+), 84 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 06a9826..4c00e14 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -5767,7 +5767,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -10163,7 +10163,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -10172,7 +10172,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -10182,16 +10182,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ - "categories.rename(columns={'Type':'Group'}, inplace=True)" + "categories.rename(columns={'Type':'Group'}, inplace=True)\n", + "quarterfinal.drop(columns=('Unnamed: 0'), inplace=True)\n", + "clist=quarterfinal['Country'].unique()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -10419,7 +10421,7 @@ "[9489 rows x 10 columns]" ] }, - "execution_count": 210, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -10441,7 +10443,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -10560,7 +10562,7 @@ "[403 rows x 2 columns]" ] }, - "execution_count": 211, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -10579,7 +10581,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -10664,7 +10666,7 @@ "4 3 541" ] }, - "execution_count": 212, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -10683,7 +10685,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -10779,7 +10781,7 @@ "Principal 23.0" ] }, - "execution_count": 214, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -10794,7 +10796,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -10813,7 +10815,7 @@ " 'Principal']" ] }, - "execution_count": 215, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -10825,7 +10827,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -11065,7 +11067,7 @@ "[4566 rows x 11 columns]" ] }, - "execution_count": 216, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -11078,7 +11080,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -11169,7 +11171,7 @@ "Principal 79" ] }, - "execution_count": 217, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -11183,7 +11185,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -11274,7 +11276,7 @@ "Principal 79" ] }, - "execution_count": 218, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -11290,7 +11292,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "continentlist=final['Continent'].unique()\n", + "namescontinents=['European', 'North African', 'Asian', 'Pair', 'Persian', 'South African', 'Latino-American']" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "finalcount=pd.merge(Global_Count,secondarycount, left_on='Group',right_on='Group')\n", + "finalcount['Does it have some global casuallity implied?']=np.where(finalcount['Secondary Count']/finalcount['Global Count']>0.8,'No', 'Yes')\n", + "finalcount['% of count (Global)']=finalcount['Secondary Count']/finalcount['Global Count']*100\n", + "finalcount.drop(columns=['Global Count','Secondary Count'],inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -11314,118 +11338,444 @@ " \n", " \n", " \n", - " Global Count\n", - " Secondary Count\n", - " Useful as a basis for decision making\n", + " Does it have some global casuallity implied?\n", + " % of count (Global)\n", + " Does it have some European casuallity implied?\n", + " % of count (European)\n", + " Does it have some North African casuallity implied?\n", + " % of count (North African)\n", + " Does it have some Asian casuallity implied?\n", + " % of count (Asian)\n", + " Does it have some Pair casuallity implied?\n", + " % of count (Pair)\n", + " Does it have some Persian casuallity implied?\n", + " % of count (Persian)\n", + " Does it have some South African casuallity implied?\n", + " % of count (South African)\n", + " Does it have some Latino-American casuallity implied?\n", + " % of count (Latino-American)\n", " \n", " \n", " Group\n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " Agriculture\n", - " 244\n", - " 244\n", - " Yes\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", " \n", " \n", " Demography\n", - " 517\n", - " 186\n", - " No\n", + " Yes\n", + " 35.976789\n", + " Yes\n", + " 34.117647\n", + " Yes\n", + " 33.962264\n", + " Yes\n", + " 35.294118\n", + " Yes\n", + " 38.461538\n", + " Yes\n", + " 39.682540\n", + " Yes\n", + " 37.500000\n", + " Yes\n", + " 35.000000\n", " \n", " \n", " Economy\n", - " 1313\n", - " 659\n", - " No\n", + " Yes\n", + " 50.190404\n", + " Yes\n", + " 60.538117\n", + " Yes\n", + " 48.993289\n", + " Yes\n", + " 43.600000\n", + " Yes\n", + " 49.206349\n", + " Yes\n", + " 52.941176\n", + " Yes\n", + " 47.422680\n", + " Yes\n", + " 49.110320\n", " \n", " \n", " Employment\n", - " 83\n", - " 83\n", - " Yes\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", " \n", " \n", " Environment\n", - " 612\n", - " 450\n", + " Yes\n", + " 73.529412\n", + " Yes\n", + " 62.184874\n", + " No\n", + " 81.333333\n", + " Yes\n", + " 72.727273\n", + " Yes\n", + " 65.789474\n", + " Yes\n", + " 76.543210\n", " No\n", + " 81.081081\n", + " Yes\n", + " 76.923077\n", " \n", " \n", " Equality\n", - " 56\n", - " 33\n", - " No\n", + " Yes\n", + " 58.928571\n", + " Yes\n", + " 77.777778\n", + " Yes\n", + " 55.555556\n", + " Yes\n", + " 50.000000\n", + " Yes\n", + " 33.333333\n", + " Yes\n", + " 75.000000\n", + " Yes\n", + " 50.000000\n", + " Yes\n", + " 63.636364\n", " \n", " \n", " Exports\n", - " 409\n", - " 263\n", - " No\n", + " Yes\n", + " 64.303178\n", + " Yes\n", + " 64.583333\n", + " Yes\n", + " 74.285714\n", + " Yes\n", + " 65.333333\n", + " Yes\n", + " 63.636364\n", + " Yes\n", + " 59.259259\n", + " Yes\n", + " 63.829787\n", + " Yes\n", + " 62.500000\n", " \n", " \n", " Health\n", - " 731\n", - " 731\n", - " Yes\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", " \n", " \n", " Mortality\n", - " 522\n", - " 482\n", - " Yes\n", + " No\n", + " 92.337165\n", + " No\n", + " 96.296296\n", + " No\n", + " 90.476190\n", + " No\n", + " 90.217391\n", + " No\n", + " 88.461538\n", + " No\n", + " 92.753623\n", + " No\n", + " 92.753623\n", + " No\n", + " 91.578947\n", " \n", " \n", " Principal\n", - " 79\n", - " 79\n", - " Yes\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", " \n", " \n", "\n", "" ], "text/plain": [ - " Global Count Secondary Count \\\n", - "Group \n", - "Agriculture 244 244 \n", - "Demography 517 186 \n", - "Economy 1313 659 \n", - "Employment 83 83 \n", - "Environment 612 450 \n", - "Equality 56 33 \n", - "Exports 409 263 \n", - "Health 731 731 \n", - "Mortality 522 482 \n", - "Principal 79 79 \n", - "\n", - " Useful as a basis for decision making \n", - "Group \n", - "Agriculture Yes \n", - "Demography No \n", - "Economy No \n", - "Employment Yes \n", - "Environment No \n", - "Equality No \n", - "Exports No \n", - "Health Yes \n", - "Mortality Yes \n", - "Principal Yes " + " Does it have some global casuallity implied? % of count (Global) \\\n", + "Group \n", + "Agriculture No 100.000000 \n", + "Demography Yes 35.976789 \n", + "Economy Yes 50.190404 \n", + "Employment No 100.000000 \n", + "Environment Yes 73.529412 \n", + "Equality Yes 58.928571 \n", + "Exports Yes 64.303178 \n", + "Health No 100.000000 \n", + "Mortality No 92.337165 \n", + "Principal No 100.000000 \n", + "\n", + " Does it have some European casuallity implied? \\\n", + "Group \n", + "Agriculture No \n", + "Demography Yes \n", + "Economy Yes \n", + "Employment No \n", + "Environment Yes \n", + "Equality Yes \n", + "Exports Yes \n", + "Health No \n", + "Mortality No \n", + "Principal No \n", + "\n", + " % of count (European) \\\n", + "Group \n", + "Agriculture 100.000000 \n", + "Demography 34.117647 \n", + "Economy 60.538117 \n", + "Employment 100.000000 \n", + "Environment 62.184874 \n", + "Equality 77.777778 \n", + "Exports 64.583333 \n", + "Health 100.000000 \n", + "Mortality 96.296296 \n", + "Principal 100.000000 \n", + "\n", + " Does it have some North African casuallity implied? \\\n", + "Group \n", + "Agriculture No \n", + "Demography Yes \n", + "Economy Yes \n", + "Employment No \n", + "Environment No \n", + "Equality Yes \n", + "Exports Yes \n", + "Health No \n", + "Mortality No \n", + "Principal No \n", + "\n", + " % of count (North African) \\\n", + "Group \n", + "Agriculture 100.000000 \n", + "Demography 33.962264 \n", + "Economy 48.993289 \n", + "Employment 100.000000 \n", + "Environment 81.333333 \n", + "Equality 55.555556 \n", + "Exports 74.285714 \n", + "Health 100.000000 \n", + "Mortality 90.476190 \n", + "Principal 100.000000 \n", + "\n", + " Does it have some Asian casuallity implied? % of count (Asian) \\\n", + "Group \n", + "Agriculture No 100.000000 \n", + "Demography Yes 35.294118 \n", + "Economy Yes 43.600000 \n", + "Employment No 100.000000 \n", + "Environment Yes 72.727273 \n", + "Equality Yes 50.000000 \n", + "Exports Yes 65.333333 \n", + "Health No 100.000000 \n", + "Mortality No 90.217391 \n", + "Principal No 100.000000 \n", + "\n", + " Does it have some Pair casuallity implied? % of count (Pair) \\\n", + "Group \n", + "Agriculture No 100.000000 \n", + "Demography Yes 38.461538 \n", + "Economy Yes 49.206349 \n", + "Employment No 100.000000 \n", + "Environment Yes 65.789474 \n", + "Equality Yes 33.333333 \n", + "Exports Yes 63.636364 \n", + "Health No 100.000000 \n", + "Mortality No 88.461538 \n", + "Principal No 100.000000 \n", + "\n", + " Does it have some Persian casuallity implied? \\\n", + "Group \n", + "Agriculture No \n", + "Demography Yes \n", + "Economy Yes \n", + "Employment No \n", + "Environment Yes \n", + "Equality Yes \n", + "Exports Yes \n", + "Health No \n", + "Mortality No \n", + "Principal No \n", + "\n", + " % of count (Persian) \\\n", + "Group \n", + "Agriculture 100.000000 \n", + "Demography 39.682540 \n", + "Economy 52.941176 \n", + "Employment 100.000000 \n", + "Environment 76.543210 \n", + "Equality 75.000000 \n", + "Exports 59.259259 \n", + "Health 100.000000 \n", + "Mortality 92.753623 \n", + "Principal 100.000000 \n", + "\n", + " Does it have some South African casuallity implied? \\\n", + "Group \n", + "Agriculture No \n", + "Demography Yes \n", + "Economy Yes \n", + "Employment No \n", + "Environment No \n", + "Equality Yes \n", + "Exports Yes \n", + "Health No \n", + "Mortality No \n", + "Principal No \n", + "\n", + " % of count (South African) \\\n", + "Group \n", + "Agriculture 100.000000 \n", + "Demography 37.500000 \n", + "Economy 47.422680 \n", + "Employment 100.000000 \n", + "Environment 81.081081 \n", + "Equality 50.000000 \n", + "Exports 63.829787 \n", + "Health 100.000000 \n", + "Mortality 92.753623 \n", + "Principal 100.000000 \n", + "\n", + " Does it have some Latino-American casuallity implied? \\\n", + "Group \n", + "Agriculture No \n", + "Demography Yes \n", + "Economy Yes \n", + "Employment No \n", + "Environment Yes \n", + "Equality Yes \n", + "Exports Yes \n", + "Health No \n", + "Mortality No \n", + "Principal No \n", + "\n", + " % of count (Latino-American) \n", + "Group \n", + "Agriculture 100.000000 \n", + "Demography 35.000000 \n", + "Economy 49.110320 \n", + "Employment 100.000000 \n", + "Environment 76.923077 \n", + "Equality 63.636364 \n", + "Exports 62.500000 \n", + "Health 100.000000 \n", + "Mortality 91.578947 \n", + "Principal 100.000000 " ] }, - "execution_count": 219, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "finalcount=pd.merge(Global_Count,secondarycount, left_on='Group',right_on='Group')\n", - "finalcount['Useful as a basis for decision making']=np.where(finalcount['Secondary Count']/finalcount['Global Count']>0.8,'Yes', 'No')\n", + "for i in range(0,len(continentlist)):\n", + " apfinal=final.loc[final['Continent']==continentlist[i]]\n", + " \n", + " selected_p=categories.loc[categories['Level']=='primary']\n", + " minprimary=selected_p.groupby('Group').min()\n", + " minprimary['Min']=round(minprimary['Number of times repeated']*0.8)\n", + " minprimary.drop(columns=['Indicator','Number of times repeated','Level'], inplace=True)\n", + "\n", + " grouplist=minprimary.index.to_list()\n", + "\n", + " secondary=apfinal.loc[apfinal['Level']=='secondary']\n", + " secondary=pd.merge(secondary,minprimary, left_on='Group',right_on='Group')\n", + "\n", + " secondaryp=secondary.loc[:,['Group','Min']]\n", + " Global_Count=secondaryp.groupby('Group').count()\n", + " Global_Count.rename(columns={'Min':'Global Count'},inplace=True)\n", + "\n", + " secondary['H_0']=np.where(secondary['Number of times repeated']-secondary['Min']>0,'Not Discarded', 'Denied')\n", + " seco=secondary.groupby(['H_0','Group']).count()\n", + " sec=seco.loc['Not Discarded']\n", + " secondarycount=sec.drop(columns=['Indicator','R^2 Spearman','Behaviour','Country','Moved','Type','Continent','Number of times repeated','Level'])\n", + " secondarycount.rename(columns={'Min':'Secondary Count'},inplace=True)\n", + "\n", + " apfinalcount=pd.merge(Global_Count,secondarycount, left_on='Group',right_on='Group')\n", + " apfinalcount['Does it have some '+namescontinents[i]+' casuallity implied?']=np.where(apfinalcount['Secondary Count']/apfinalcount['Global Count']>0.8,'No', 'Yes')\n", + " apfinalcount['% of count ('+namescontinents[i]+')']=apfinalcount['Secondary Count']/apfinalcount['Global Count']*100\n", + " apfinalcount.drop(columns=['Global Count','Secondary Count'],inplace=True)\n", + " finalcount=pd.merge(finalcount,apfinalcount, left_on='Group',right_on='Group')\n", + "\n", "finalcount" ] }, @@ -64639,7 +64989,7 @@ }, "vscode": { "interpreter": { - "hash": "292912297167048338b5d1136ec8c661b8a2f1d3fcecd6650d637809a967c218" + "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" } } }, From 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zXeuC`#DsF+?71F-7f@9CxvRaJJqoIB-dvB>skw1R`aQucU0`;H2OF_NK#7TP$d9h8 zg7@Fm)g^$wyh@##XNVqsUp@Pd*iq<|$CM6m#-Oqv|0~QicDOv-@J`?dE9AoGPlE?I z&?{(S4gvSp|fe`Pl*5k diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 4983b35..6236b27 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -10688,8 +10688,14 @@ "metadata": {}, "source": [ "There is an interesting phenomenon, in some cases there are correlations that have a high coefficient and also an adequate graphics, but they do not make sense in the analysis, these are called spurious correlations. Here are some examples:\n", - "![Cheese consumption VS. People killed by becoming tangled in their bedsheets](os.getcwd()+'/Logos/'+'chart%(1).png')\n", - "![People drowned VS. Nicolas Cage appearences](os.getcwd()+'/Logos/'+'chart.png')\n", + "\n", + "\n", + "![Cheese consumption VS. People killed by becoming tangled in their bedsheets](os.getcwd()+'/Logos/'+'chart%(2).png')\n", + "\n", + "\n", + "![People drowned VS. Nicolas Cage appearences](os.getcwd()+'/Logos/'+'chart%(1).png')\n", + "\n", + "\n", "Therefore, we have to be carefull with our results because correlation does not imply causation, it may have happened by chance that both variables are really similar.\n", "So, after some thought and experimenting, we have developed a method that will allow us to find out if the correlation has happened by chance or if there is really a correlation." ] @@ -10709,7 +10715,9 @@ "\n", "This hypothesis can be used in a global level, all the countries, or in the different regions. \n", "\n", - "For example if a primary indicator is repeated 20 times the secondary indicators must have repeated 18 times. And if there are 10 secondary indicators, it has to happen for, at least, 8 indicators.\n" + "For example if a primary indicator is repeated 20 times the secondary indicators must have repeated 18 times. And if there are 10 secondary indicators, it has to happen for, at least, 8 indicators.\n", + "\n", + "Finally, we will finish with two possible errors of 20%, which combined (20%*20%), leaves us with a 4% of margin of error, which is lower than the wildly spread of 5%.\n" ] }, { From 1b6b2d02cc18b9efa0bbaac541c696c7eeb56e68 Mon Sep 17 00:00:00 2001 From: amarchve Date: Tue, 2 Aug 2022 09:22:19 +0200 Subject: [PATCH 49/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 6236b27..682f9cf 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -10690,10 +10690,10 @@ "There is an interesting phenomenon, in some cases there are correlations that have a high coefficient and also an adequate graphics, but they do not make sense in the analysis, these are called spurious correlations. Here are some examples:\n", "\n", "\n", - "![Cheese consumption VS. People killed by becoming tangled in their bedsheets](os.getcwd()+'/Logos/'+'chart%(2).png')\n", + "![Cheese consumption VS. People killed by becoming tangled in their bedsheets](https://github.com/devonfw-forge/python-data-driven-decisions/blob/Remodel-due-to-d2/Logos/chart%20(2).jpeg)\n", "\n", "\n", - "![People drowned VS. Nicolas Cage appearences](os.getcwd()+'/Logos/'+'chart%(1).png')\n", + "![People drowned VS. Nicolas Cage appearences](https://github.com/devonfw-forge/python-data-driven-decisions/blob/Remodel-due-to-d2/Logos/chart%20(1).jpeg)\n", "\n", "\n", "Therefore, we have to be carefull with our results because correlation does not imply causation, it may have happened by chance that both variables are really similar.\n", From 521b9a2c03882d3c3fc39dd30a41db73276e3898 Mon Sep 17 00:00:00 2001 From: amarchve Date: Tue, 2 Aug 2022 09:29:29 +0200 Subject: [PATCH 50/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 52999 -------------------------------------- 1 file changed, 52999 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 682f9cf..dd490a0 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -12005,53005 +12005,6 @@ " fig\n", "widgets.interactive(graph1,tric1=tric1,tric2=tric2)\n" ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, if we execute the following loop, it will provide with the variables that follow a normal distribution." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "DEU-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.620, p=0.000\n", - "DEU-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.647, p=0.000\n", - "DEU-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.596, p=0.000\n", - "DEU-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.604, p=0.000\n", - "DEU-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.457, p=0.000\n", - "DEU-Age dependency ratio (% of working-age population)\n", - "Statistical=0.566, p=0.000\n", - "DEU-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.621, p=0.000\n", - "DEU-Agricultural land (% of land area)\n", - "Statistical=0.584, p=0.000\n", - "DEU-Agricultural land (sq. km)\n", - "Statistical=0.712, p=0.000\n", - "DEU-Agricultural methane emissions (% of total)\n", - "Statistical=0.928, p=0.034\n", - "DEU-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.910, p=0.011\n", - "DEU-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.920, p=0.020\n", - "DEU-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.991, p=0.992\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.945, p=0.101\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.880, p=0.002\n", - "DEU-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.976, p=0.671\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Aquaculture production (metric tons)\n", - "Statistical=0.925, p=0.029\n", - "DEU-Arable land (% of land area)\n", - "Statistical=0.871, p=0.001\n", - "DEU-Arable land (hectares per person)\n", - "Statistical=0.926, p=0.031\n", - "DEU-Arable land (hectares)\n", - "Statistical=0.850, p=0.000\n", - "DEU-Armed forces personnel (% of total labor force)\n", - "Statistical=0.923, p=0.025\n", - "DEU-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.849, p=0.000\n", - "DEU-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.959, p=0.264\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.927, p=0.032\n", - "DEU-Average precipitation in depth (mm per year)\n", - "Statistical=0.965, p=0.380\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Average time to clear exports through customs (days)\n", - "Statistical=0.887, p=0.003\n", - "DEU-Births attended by skilled health staff (% of total)\n", - "Statistical=0.834, p=0.000\n", - "DEU-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.866, p=0.001\n", - "DEU-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.923, p=0.026\n", - "DEU-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.900, p=0.006\n", - "DEU-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.856, p=0.001\n", - "DEU-CO2 emissions (kt)\n", - "Statistical=0.777, p=0.000\n", - "DEU-CO2 emissions (metric tons per capita)\n", - "Statistical=0.757, p=0.000\n", - "DEU-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.924, p=0.027\n", - "DEU-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.845, p=0.000\n", - "DEU-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.874, p=0.001\n", - "DEU-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.953, p=0.179\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.901, p=0.007\n", - "DEU-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.799, p=0.000\n", - "DEU-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.825, p=0.000\n", - "DEU-Capture fisheries production (metric tons)\n", - "Statistical=0.786, p=0.000\n", - "DEU-Cereal production (metric tons)\n", - "Statistical=0.949, p=0.132\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Cereal yield (kg per hectare)\n", - "Statistical=0.882, p=0.002\n", - "DEU-Changes in inventories (current US$)\n", - "Statistical=0.890, p=0.003\n", - "DEU-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.567, p=0.000\n", - "DEU-Children out of school (% of primary school age)\n", - "Statistical=0.917, p=0.017\n", - "DEU-Coal rents (% of GDP)\n", - "Statistical=0.905, p=0.008\n", - "DEU-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.612, p=0.000\n", - "DEU-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.605, p=0.000\n", - "DEU-Commercial service exports (current US$)\n", - "Statistical=0.791, p=0.000\n", - "DEU-Commercial service imports (current US$)\n", - "Statistical=0.837, p=0.000\n", - "DEU-Completeness of birth registration (%)\n", - "Statistical=0.745, p=0.000\n", - "DEU-Consumer price index (2010 = 100)\n", - "Statistical=0.951, p=0.153\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.907, p=0.009\n", - "DEU-Crop production index (2014-2016 = 100)\n", - "Statistical=0.868, p=0.001\n", - "DEU-Current account balance (% of GDP)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Current account balance (BoP, current US$)\n", - "Statistical=0.968, p=0.435\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Current health expenditure (% of GDP)\n", - "Statistical=0.923, p=0.025\n", - "DEU-Current health expenditure per capita (current US$)\n", - "Statistical=0.923, p=0.025\n", - "DEU-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.918, p=0.018\n", - "DEU-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.855, p=0.001\n", - "DEU-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.956, p=0.208\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.861, p=0.001\n", - "DEU-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.921, p=0.022\n", - "DEU-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.928, p=0.035\n", - "DEU-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.878, p=0.002\n", - "DEU-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.838, p=0.000\n", - "DEU-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.866, p=0.001\n", - "DEU-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.901, p=0.006\n", - "DEU-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.901, p=0.006\n", - "DEU-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.934, p=0.049\n", - "DEU-Electric power consumption (kWh per capita)\n", - "Statistical=0.957, p=0.223\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.961, p=0.300\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Electricity production from coal sources (% of total)\n", - "Statistical=0.968, p=0.441\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.895, p=0.005\n", - "DEU-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.893, p=0.004\n", - "DEU-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.959, p=0.263\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Electricity production from oil sources (% of total)\n", - "Statistical=0.841, p=0.000\n", - "DEU-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.725, p=0.000\n", - "DEU-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Export unit value index (2000 = 100)\n", - "Statistical=0.876, p=0.002\n", - "DEU-Export value index (2000 = 100)\n", - "Statistical=0.754, p=0.000\n", - "DEU-Export volume index (2000 = 100)\n", - "Statistical=0.773, p=0.000\n", - "DEU-Exports of goods and services (% of GDP)\n", - "Statistical=0.778, p=0.000\n", - "DEU-Exports of goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Exports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-External balance on goods and services (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-External balance on goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Final consumption expenditure (% of GDP)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Final consumption expenditure (current US$)\n", - "Statistical=0.934, p=0.050\n", - "DEU-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.954, p=0.183\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Firms offering formal training (% of firms)\n", - "Statistical=0.964, p=0.356\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.875, p=0.001\n", - "DEU-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.844, p=0.000\n", - "DEU-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.899, p=0.006\n", - "DEU-Fixed broadband subscriptions\n", - "Statistical=0.894, p=0.004\n", - "DEU-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.820, p=0.000\n", - "DEU-Fixed telephone subscriptions\n", - "Statistical=0.848, p=0.000\n", - "DEU-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.728, p=0.000\n", - "DEU-Food exports (% of merchandise exports)\n", - "Statistical=0.949, p=0.131\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Food imports (% of merchandise imports)\n", - "Statistical=0.932, p=0.045\n", - "DEU-Food production index (2014-2016 = 100)\n", - "Statistical=0.908, p=0.010\n", - "DEU-Forest area (% of land area)\n", - "Statistical=0.912, p=0.013\n", - "DEU-Forest area (sq. km)\n", - "Statistical=0.836, p=0.000\n", - "DEU-Forest rents (% of GDP)\n", - "Statistical=0.966, p=0.389\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.846, p=0.000\n", - "DEU-Fuel exports (% of merchandise exports)\n", - "Statistical=0.790, p=0.000\n", - "DEU-Fuel imports (% of merchandise imports)\n", - "Statistical=0.807, p=0.000\n", - "DEU-GDP (current US$)\n", - "Statistical=0.960, p=0.277\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-GDP deflator (base year varies by country)\n", - "Statistical=0.976, p=0.662\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-GDP growth (annual %)\n", - "Statistical=0.977, p=0.711\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-GDP per capita (current US$)\n", - "Statistical=0.827, p=0.000\n", - "DEU-GDP per capita growth (annual %)\n", - "Statistical=0.740, p=0.000\n", - "DEU-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.893, p=0.004\n", - "DEU-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.866, p=0.001\n", - "DEU-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.849, p=0.000\n", - "DEU-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.839, p=0.000\n", - "DEU-GNI (current US$)\n", - "Statistical=0.865, p=0.001\n", - "DEU-GNI growth (annual %)\n", - "Statistical=0.794, p=0.000\n", - "DEU-GNI per capita growth (annual %)\n", - "Statistical=0.838, p=0.000\n", - "DEU-General government final consumption expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-General government final consumption expenditure (current US$)\n", - "Statistical=0.835, p=0.000\n", - "DEU-Gini index\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Goods exports (BoP, current US$)\n", - "Statistical=0.822, p=0.000\n", - "DEU-Goods imports (BoP, current US$)\n", - "Statistical=0.824, p=0.000\n", - "DEU-Grants and other revenue (% of revenue)\n", - "Statistical=0.798, p=0.000\n", - "DEU-Gross capital formation (% of GDP)\n", - "Statistical=0.893, p=0.004\n", - "DEU-Gross capital formation (current US$)\n", - "Statistical=0.911, p=0.012\n", - "DEU-Gross domestic savings (% of GDP)\n", - "Statistical=0.846, p=0.000\n", - "DEU-Gross domestic savings (current US$)\n", - "Statistical=0.906, p=0.009\n", - "DEU-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Gross savings (% of GDP)\n", - "Statistical=0.914, p=0.015\n", - "DEU-Gross savings (current US$)\n", - "Statistical=0.970, p=0.510\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.813, p=0.000\n", - "DEU-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.926, p=0.030\n", - "DEU-High-technology exports (% of manufactured exports)\n", - "Statistical=0.819, p=0.000\n", - "DEU-High-technology exports (current US$)\n", - "Statistical=0.916, p=0.016\n", - "DEU-Hospital beds (per 1,000 people)\n", - "Statistical=0.942, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.920, p=0.021\n", - "DEU-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.850, p=0.000\n", - "DEU-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.850, p=0.000\n", - "DEU-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.850, p=0.000\n", - "DEU-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.969, p=0.472\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.847, p=0.000\n", - "DEU-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.840, p=0.000\n", - "DEU-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.877, p=0.002\n", - "DEU-ICT goods exports (% of total goods exports)\n", - "Statistical=0.885, p=0.003\n", - "DEU-ICT goods imports (% total goods imports)\n", - "Statistical=0.886, p=0.003\n", - "DEU-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.829, p=0.000\n", - "DEU-ICT service exports (BoP, current US$)\n", - "Statistical=0.815, p=0.000\n", - "DEU-Import unit value index (2000 = 100)\n", - "Statistical=0.826, p=0.000\n", - "DEU-Import value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Import volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Imports of goods and services (% of GDP)\n", - "Statistical=0.969, p=0.485\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.952, p=0.164\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Imports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "DEU-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Income share held by lowest 10%\n", - "Statistical=0.800, p=0.000\n", - "DEU-Income share held by lowest 20%\n", - "Statistical=0.800, p=0.000\n", - "DEU-Income share held by second 20%\n", - "Statistical=0.815, p=0.000\n", - "DEU-Income share held by third 20%\n", - "Statistical=0.799, p=0.000\n", - "DEU-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.805, p=0.000\n", - "DEU-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.824, p=0.000\n", - "DEU-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.814, p=0.000\n", - "DEU-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.799, p=0.000\n", - "DEU-Individuals using the Internet (% of population)\n", - "Statistical=0.786, p=0.000\n", - "DEU-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.848, p=0.000\n", - "DEU-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.575, p=0.000\n", - "DEU-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.814, p=0.000\n", - "DEU-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.785, p=0.000\n", - "DEU-Intentional homicides (per 100,000 people)\n", - "Statistical=0.803, p=0.000\n", - "DEU-Interest payments (% of revenue)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-International migrant stock (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.750, p=0.000\n", - "DEU-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.866, p=0.001\n", - "DEU-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.779, p=0.000\n", - "DEU-Land area (sq. km)\n", - "Statistical=0.775, p=0.000\n", - "DEU-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.882, p=0.002\n", - "DEU-Land under cereal production (hectares)\n", - "Statistical=0.782, p=0.000\n", - "DEU-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.891, p=0.004\n", - "DEU-Lifetime risk of maternal death (%)\n", - "Statistical=0.927, p=0.032\n", - "DEU-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.884, p=0.002\n", - "DEU-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.902, p=0.007\n", - "DEU-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=0.820, p=0.000\n", - "DEU-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.929, p=0.036\n", - "DEU-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.920, p=0.021\n", - "DEU-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.826, p=0.000\n", - "DEU-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.824, p=0.000\n", - "DEU-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.948, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.895, p=0.005\n", - "DEU-Low-birthweight babies (% of births)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Lower secondary school starting age (years)\n", - "Statistical=0.906, p=0.009\n", - "DEU-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.890, p=0.004\n", - "DEU-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.878, p=0.002\n", - "DEU-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.877, p=0.002\n", - "DEU-Marine protected areas (% of territorial waters)\n", - "Statistical=0.870, p=0.001\n", - "DEU-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.879, p=0.002\n", - "DEU-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.887, p=0.003\n", - "DEU-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.875, p=0.001\n", - "DEU-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.894, p=0.004\n", - "DEU-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.877, p=0.002\n", - "DEU-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.881, p=0.002\n", - "DEU-Merchandise exports (current US$)\n", - "Statistical=0.975, p=0.652\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.974, p=0.626\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.930, p=0.038\n", - "DEU-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.929, p=0.037\n", - "DEU-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.957, p=0.226\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.945, p=0.103\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.943, p=0.093\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.956, p=0.215\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.957, p=0.227\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.957, p=0.225\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.870, p=0.001\n", - "DEU-Merchandise imports (current US$)\n", - "Statistical=0.802, p=0.000\n", - "DEU-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.763, p=0.000\n", - "DEU-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.923, p=0.026\n", - "DEU-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.911, p=0.012\n", - "DEU-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.797, p=0.000\n", - "DEU-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.809, p=0.000\n", - "DEU-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.826, p=0.000\n", - "DEU-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.924, p=0.027\n", - "DEU-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.866, p=0.001\n", - "DEU-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.847, p=0.000\n", - "DEU-Merchandise trade (% of GDP)\n", - "Statistical=0.972, p=0.547\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Methane emissions (% change from 1990)\n", - "Statistical=0.916, p=0.016\n", - "DEU-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.916, p=0.016\n", - "DEU-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.918, p=0.019\n", - "DEU-Military expenditure (% of GDP)\n", - "Statistical=0.851, p=0.000\n", - "DEU-Military expenditure (% of general government expenditure)\n", - "Statistical=0.837, p=0.000\n", - "DEU-Military expenditure (current USD)\n", - "Statistical=0.861, p=0.001\n", - "DEU-Mineral rents (% of GDP)\n", - "Statistical=0.865, p=0.001\n", - "DEU-Mobile cellular subscriptions\n", - "Statistical=0.892, p=0.004\n", - "DEU-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.852, p=0.000\n", - "DEU-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Natural gas rents (% of GDP)\n", - "Statistical=0.927, p=0.031\n", - "DEU-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.949, p=0.132\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Net capital account (BoP, current US$)\n", - "Statistical=0.971, p=0.515\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.912, p=0.013\n", - "DEU-Net financial account (BoP, current US$)\n", - "Statistical=0.955, p=0.203\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Net migration\n", - "Statistical=0.973, p=0.595\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Net primary income (BoP, current US$)\n", - "Statistical=0.973, p=0.595\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.963, p=0.337\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Net secondary income (BoP, current US$)\n", - "Statistical=0.886, p=0.003\n", - "DEU-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Net trade in goods (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Net trade in goods and services (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-New businesses registered (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.815, p=0.000\n", - "DEU-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.808, p=0.000\n", - "DEU-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.933, p=0.048\n", - "DEU-Number of deaths ages 10-14 years\n", - "Statistical=0.923, p=0.025\n", - "DEU-Number of deaths ages 15-19 years\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Number of deaths ages 20-24 years\n", - "Statistical=0.930, p=0.039\n", - "DEU-Number of deaths ages 5-9 years\n", - "Statistical=0.989, p=0.982\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Number of infant deaths\n", - "Statistical=0.825, p=0.000\n", - "DEU-Number of maternal deaths\n", - "Statistical=0.972, p=0.548\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Number of neonatal deaths\n", - "Statistical=0.967, p=0.413\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Number of under-five deaths\n", - "Statistical=0.966, p=0.405\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.972, p=0.559\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Oil rents (% of GDP)\n", - "Statistical=0.888, p=0.003\n", - "DEU-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.879, p=0.002\n", - "DEU-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.979, p=0.769\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.902, p=0.007\n", - "DEU-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.929, p=0.037\n", - "DEU-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.919, p=0.020\n", - "DEU-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.962, p=0.311\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.962, p=0.311\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.955, p=0.205\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-People using at least basic drinking water services (% of population)\n", - "Statistical=0.887, p=0.003\n", - "DEU-People using at least basic sanitation services (% of population)\n", - "Statistical=0.967, p=0.425\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-People using safely managed sanitation services (% of population)\n", - "Statistical=0.967, p=0.425\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Permanent cropland (% of land area)\n", - "Statistical=0.968, p=0.434\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Physicians (per 1,000 people)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Population ages 0-14 (% of total population)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Population ages 15-64 (% of total population)\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Population ages 65 and above (% of total population)\n", - "Statistical=0.878, p=0.002\n", - "DEU-Population density (people per sq. km of land area)\n", - "Statistical=0.962, p=0.316\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Population growth (annual %)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Population in largest city\n", - "Statistical=0.913, p=0.014\n", - "DEU-Population in the largest city (% of urban population)\n", - "Statistical=0.870, p=0.001\n", - "DEU-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.881, p=0.002\n", - "DEU-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.900, p=0.006\n", - "DEU-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.962, p=0.311\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.920, p=0.021\n", - "DEU-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.955, p=0.205\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=0.640, p=0.000\n", - "DEU-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.949, p=0.139\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.884, p=0.002\n", - "DEU-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.962, p=0.321\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.923, p=0.025\n", - "DEU-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.923, p=0.025\n", - "DEU-Prevalence of undernourishment (% of population)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.965, p=0.367\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Primary income payments (BoP, current US$)\n", - "Statistical=0.862, p=0.001\n", - "DEU-Primary income receipts (BoP, current US$)\n", - "Statistical=0.923, p=0.025\n", - "DEU-Primary school starting age (years)\n", - "Statistical=0.908, p=0.010\n", - "DEU-Private credit bureau coverage (% of adults)\n", - "Statistical=0.875, p=0.002\n", - "DEU-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.915, p=0.015\n", - "DEU-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.949, p=0.139\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.970, p=0.489\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Procedures to build a warehouse (number)\n", - "Statistical=0.955, p=0.199\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Procedures to register property (number)\n", - "Statistical=0.962, p=0.306\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Profit tax (% of commercial profits)\n", - "Statistical=0.962, p=0.306\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Progression to secondary school (%)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.927, p=0.033\n", - "DEU-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.907, p=0.009\n", - "DEU-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.857, p=0.001\n", - "DEU-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.870, p=0.001\n", - "DEU-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.795, p=0.000\n", - "DEU-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.888, p=0.003\n", - "DEU-Public credit registry coverage (% of adults)\n", - "Statistical=0.914, p=0.014\n", - "DEU-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.744, p=0.000\n", - "DEU-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.585, p=0.000\n", - "DEU-Rail lines (total route-km)\n", - "Statistical=0.930, p=0.039\n", - "DEU-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.903, p=0.007\n", - "DEU-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Refugee population by country or territory of asylum\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Refugee population by country or territory of origin\n", - "Statistical=0.980, p=0.801\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.957, p=0.223\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.957, p=0.223\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.910, p=0.011\n", - "DEU-Research and development expenditure (% of GDP)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Researchers in R&D (per million people)\n", - "Statistical=0.964, p=0.350\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Reserves and related items (BoP, current US$)\n", - "Statistical=0.912, p=0.013\n", - "DEU-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.933, p=0.046\n", - "DEU-Rural land area (sq. km)\n", - "Statistical=0.889, p=0.003\n", - "DEU-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.910, p=0.011\n", - "DEU-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.981, p=0.815\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Rural population\n", - "Statistical=0.913, p=0.014\n", - "DEU-Rural population (% of total population)\n", - "Statistical=0.913, p=0.014\n", - "DEU-Rural population growth (annual %)\n", - "Statistical=0.882, p=0.002\n", - "DEU-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.930, p=0.038\n", - "DEU-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.933, p=0.048\n", - "DEU-Scientific and technical journal articles\n", - "Statistical=0.923, p=0.025\n", - "DEU-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.923, p=0.025\n", - "DEU-Secure Internet servers\n", - "Statistical=0.861, p=0.001\n", - "DEU-Secure Internet servers (per 1 million people)\n", - "Statistical=0.973, p=0.589\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Service exports (BoP, current US$)\n", - "Statistical=0.973, p=0.589\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Service imports (BoP, current US$)\n", - "Statistical=0.957, p=0.222\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Sex ratio at birth (male births per female births)\n", - "Statistical=0.899, p=0.006\n", - "DEU-Social contributions (% of revenue)\n", - "Statistical=0.965, p=0.380\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.892, p=0.004\n", - "DEU-Start-up procedures to register a business (number)\n", - "Statistical=0.890, p=0.003\n", - "DEU-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.912, p=0.012\n", - "DEU-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.872, p=0.001\n", - "DEU-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.950, p=0.140\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.950, p=0.140\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.952, p=0.160\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.887, p=0.003\n", - "DEU-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.835, p=0.000\n", - "DEU-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.706, p=0.000\n", - "DEU-Surface area (sq. km)\n", - "Statistical=0.768, p=0.000\n", - "DEU-Tax payments (number)\n", - "Statistical=0.879, p=0.002\n", - "DEU-Tax revenue (% of GDP)\n", - "Statistical=0.955, p=0.205\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Taxes less subsidies on products (current US$)\n", - "Statistical=0.983, p=0.876\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Taxes on goods and services (% of revenue)\n", - "Statistical=0.983, p=0.876\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.971, p=0.536\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.884, p=0.002\n", - "DEU-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.969, p=0.474\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.978, p=0.733\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Time required to build a warehouse (days)\n", - "Statistical=0.983, p=0.876\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Time required to enforce a contract (days)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Time required to get electricity (days)\n", - "Statistical=0.829, p=0.000\n", - "DEU-Time required to register property (days)\n", - "Statistical=0.971, p=0.536\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Time required to start a business (days)\n", - "Statistical=0.567, p=0.000\n", - "DEU-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.414, p=0.000\n", - "DEU-Time to obtain an electrical connection (days)\n", - "Statistical=0.780, p=0.000\n", - "DEU-Time to prepare and pay taxes (hours)\n", - "Statistical=0.474, p=0.000\n", - "DEU-Time to resolve insolvency (years)\n", - "Statistical=0.368, p=0.000\n", - "DEU-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.656, p=0.000\n", - "DEU-Total fisheries production (metric tons)\n", - "Statistical=0.408, p=0.000\n", - "DEU-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.618, p=0.000\n", - "DEU-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.629, p=0.000\n", - "DEU-Total natural resources rents (% of GDP)\n", - "Statistical=0.779, p=0.000\n", - "DEU-Total reserves (includes gold, current US$)\n", - "Statistical=0.833, p=0.000\n", - "DEU-Total reserves in months of imports\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Total reserves minus gold (current US$)\n", - "Statistical=0.904, p=0.008\n", - "DEU-Total tax and contribution rate (% of profit)\n", - "Statistical=0.814, p=0.000\n", - "DEU-Trade (% of GDP)\n", - "Statistical=0.780, p=0.000\n", - "DEU-Trade in services (% of GDP)\n", - "Statistical=0.776, p=0.000\n", - "DEU-Transport services (% of commercial service exports)\n", - "Statistical=0.816, p=0.000\n", - "DEU-Transport services (% of commercial service imports)\n", - "Statistical=0.811, p=0.000\n", - "DEU-Transport services (% of service exports, BoP)\n", - "Statistical=0.849, p=0.000\n", - "DEU-Transport services (% of service imports, BoP)\n", - "Statistical=0.890, p=0.004\n", - "DEU-Travel services (% of commercial service exports)\n", - "Statistical=0.859, p=0.001\n", - "DEU-Travel services (% of commercial service imports)\n", - "Statistical=0.984, p=0.898\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Travel services (% of service exports, BoP)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Travel services (% of service imports, BoP)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.926, p=0.031\n", - "DEU-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.860, p=0.001\n", - "DEU-UHC service coverage index\n", - "Statistical=0.858, p=0.001\n", - "DEU-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.803, p=0.000\n", - "DEU-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.950, p=0.140\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.924, p=0.026\n", - "DEU-Urban land area (sq. km)\n", - "Statistical=0.922, p=0.024\n", - "DEU-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.915, p=0.015\n", - "DEU-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.918, p=0.019\n", - "DEU-Urban population\n", - "Statistical=0.907, p=0.009\n", - "DEU-Urban population (% of total population)\n", - "Statistical=0.925, p=0.028\n", - "DEU-Urban population growth (annual %)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-GDP (current US$)+1\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=0.801, p=0.000\n", - "DEU-GDP (current US$)+2\n", - "Statistical=0.960, p=0.275\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-GDP (current US$)+3\n", - "Statistical=0.875, p=0.001\n", - "DEU-GDP (current US$)+5\n", - "Statistical=0.819, p=0.000\n", - "DEU-GDP (current US$)+8\n", - "Statistical=0.952, p=0.161\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-GDP (current US$)+13\n", - "Statistical=0.893, p=0.004\n", - "DEU-GDP (current US$)+21\n", - "Statistical=0.893, p=0.004\n", - "DEU-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.853, p=0.000\n", - "DEU-Deposit interest rate (%)\n", - "Statistical=0.907, p=0.010\n", - "DEU-Other taxes (% of revenue)\n", - "Statistical=0.907, p=0.009\n", - "DEU-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.981, p=0.842\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Taxes on international trade (% of revenue)\n", - "Statistical=0.981, p=0.842\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.955, p=0.195\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Broad money (% of GDP)\n", - "Statistical=0.970, p=0.498\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Broad money growth (annual %)\n", - "Statistical=0.963, p=0.328\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Broad money to total reserves ratio\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.963, p=0.321\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.869, p=0.001\n", - "DEU-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.874, p=0.001\n", - "DEU-External health expenditure (% of current health expenditure)\n", - "Statistical=0.844, p=0.000\n", - "DEU-External health expenditure per capita (current US$)\n", - "Statistical=0.458, p=0.000\n", - "DEU-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.870, p=0.001\n", - "DEU-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.873, p=0.001\n", - "DEU-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.859, p=0.001\n", - "DEU-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.880, p=0.002\n", - "DEU-People practicing open defecation (% of population)\n", - "Statistical=0.893, p=0.004\n", - "DEU-Taxes on exports (% of tax revenue)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "DEU-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.890, p=0.003\n", - "DEU-Country\n", - "Statistical=0.840, p=0.000\n", - "DEU-Year\n", - "Statistical=0.811, p=0.000\n", - "DEU-Continent\n", - "Statistical=0.832, p=0.000\n", - "FRA-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.557, p=0.000\n", - "FRA-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.574, p=0.000\n", - "FRA-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.661, p=0.000\n", - "FRA-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.561, p=0.000\n", - "FRA-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.617, p=0.000\n", - "FRA-Age dependency ratio (% of working-age population)\n", - "Statistical=0.617, p=0.000\n", - "FRA-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.531, p=0.000\n", - "FRA-Agricultural land (% of land area)\n", - "Statistical=0.612, p=0.000\n", - "FRA-Agricultural land (sq. km)\n", - "Statistical=0.610, p=0.000\n", - "FRA-Agricultural methane emissions (% of total)\n", - "Statistical=0.842, p=0.000\n", - "FRA-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.862, p=0.001\n", - "FRA-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.877, p=0.002\n", - "FRA-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.905, p=0.008\n", - "FRA-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.926, p=0.030\n", - "FRA-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.847, p=0.000\n", - "FRA-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.953, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Aquaculture production (metric tons)\n", - "Statistical=0.900, p=0.006\n", - "FRA-Arable land (% of land area)\n", - "Statistical=0.871, p=0.001\n", - "FRA-Arable land (hectares per person)\n", - "Statistical=0.952, p=0.166\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Arable land (hectares)\n", - "Statistical=0.969, p=0.467\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Armed forces personnel (% of total labor force)\n", - "Statistical=0.953, p=0.178\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.969, p=0.465\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.932, p=0.044\n", - "FRA-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Average precipitation in depth (mm per year)\n", - "Statistical=0.886, p=0.003\n", - "FRA-Average time to clear exports through customs (days)\n", - "Statistical=0.817, p=0.000\n", - "FRA-Births attended by skilled health staff (% of total)\n", - "Statistical=0.852, p=0.000\n", - "FRA-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.872, p=0.001\n", - "FRA-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.957, p=0.234\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.970, p=0.505\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-CO2 emissions (kt)\n", - "Statistical=0.888, p=0.003\n", - "FRA-CO2 emissions (metric tons per capita)\n", - "Statistical=0.907, p=0.009\n", - "FRA-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.960, p=0.277\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.962, p=0.303\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.956, p=0.209\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.905, p=0.008\n", - "FRA-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.874, p=0.001\n", - "FRA-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.761, p=0.000\n", - "FRA-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.728, p=0.000\n", - "FRA-Capture fisheries production (metric tons)\n", - "Statistical=0.744, p=0.000\n", - "FRA-Cereal production (metric tons)\n", - "Statistical=0.801, p=0.000\n", - "FRA-Cereal yield (kg per hectare)\n", - "Statistical=0.901, p=0.007\n", - "FRA-Changes in inventories (current US$)\n", - "Statistical=0.904, p=0.008\n", - "FRA-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.743, p=0.000\n", - "FRA-Children out of school (% of primary school age)\n", - "Statistical=0.902, p=0.007\n", - "FRA-Coal rents (% of GDP)\n", - "Statistical=0.902, p=0.007\n", - "FRA-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.774, p=0.000\n", - "FRA-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.760, p=0.000\n", - "FRA-Commercial service exports (current US$)\n", - "Statistical=0.810, p=0.000\n", - "FRA-Commercial service imports (current US$)\n", - "Statistical=0.955, p=0.200\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Completeness of birth registration (%)\n", - "Statistical=0.738, p=0.000\n", - "FRA-Consumer price index (2010 = 100)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.784, p=0.000\n", - "FRA-Crop production index (2014-2016 = 100)\n", - "Statistical=0.883, p=0.002\n", - "FRA-Current account balance (% of GDP)\n", - "Statistical=0.887, p=0.003\n", - "FRA-Current account balance (BoP, current US$)\n", - "Statistical=0.976, p=0.663\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Current health expenditure (% of GDP)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Current health expenditure per capita (current US$)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.971, p=0.521\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.974, p=0.617\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.940, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.955, p=0.198\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.912, p=0.013\n", - "FRA-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.979, p=0.758\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.843, p=0.000\n", - "FRA-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.870, p=0.001\n", - "FRA-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.880, p=0.002\n", - "FRA-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.880, p=0.002\n", - "FRA-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.925, p=0.028\n", - "FRA-Electric power consumption (kWh per capita)\n", - "Statistical=0.921, p=0.023\n", - "FRA-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.873, p=0.001\n", - "FRA-Electricity production from coal sources (% of total)\n", - "Statistical=0.921, p=0.022\n", - "FRA-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.844, p=0.000\n", - "FRA-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.839, p=0.000\n", - "FRA-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.941, p=0.081\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Electricity production from oil sources (% of total)\n", - "Statistical=0.978, p=0.738\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.801, p=0.000\n", - "FRA-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.870, p=0.001\n", - "FRA-Export unit value index (2000 = 100)\n", - "Statistical=0.953, p=0.180\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Export value index (2000 = 100)\n", - "Statistical=0.754, p=0.000\n", - "FRA-Export volume index (2000 = 100)\n", - "Statistical=0.773, p=0.000\n", - "FRA-Exports of goods and services (% of GDP)\n", - "Statistical=0.778, p=0.000\n", - "FRA-Exports of goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Exports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-External balance on goods and services (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-External balance on goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.932, p=0.044\n", - "FRA-Final consumption expenditure (% of GDP)\n", - "Statistical=0.932, p=0.044\n", - "FRA-Final consumption expenditure (current US$)\n", - "Statistical=0.920, p=0.021\n", - "FRA-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.885, p=0.003\n", - "FRA-Firms offering formal training (% of firms)\n", - "Statistical=0.873, p=0.001\n", - "FRA-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.892, p=0.004\n", - "FRA-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.898, p=0.006\n", - "FRA-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.948, p=0.130\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Fixed broadband subscriptions\n", - "Statistical=0.905, p=0.008\n", - "FRA-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.848, p=0.000\n", - "FRA-Fixed telephone subscriptions\n", - "Statistical=0.914, p=0.015\n", - "FRA-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.940, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Food exports (% of merchandise exports)\n", - "Statistical=0.943, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Food imports (% of merchandise imports)\n", - "Statistical=0.895, p=0.005\n", - "FRA-Food production index (2014-2016 = 100)\n", - "Statistical=0.921, p=0.022\n", - "FRA-Forest area (% of land area)\n", - "Statistical=0.923, p=0.025\n", - "FRA-Forest area (sq. km)\n", - "Statistical=0.930, p=0.039\n", - "FRA-Forest rents (% of GDP)\n", - "Statistical=0.933, p=0.047\n", - "FRA-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.855, p=0.001\n", - "FRA-Fuel exports (% of merchandise exports)\n", - "Statistical=0.843, p=0.000\n", - "FRA-Fuel imports (% of merchandise imports)\n", - "Statistical=0.815, p=0.000\n", - "FRA-GDP (current US$)\n", - "Statistical=0.954, p=0.183\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-GDP deflator (base year varies by country)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.965, p=0.380\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-GDP growth (annual %)\n", - "Statistical=0.958, p=0.240\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-GDP per capita (current US$)\n", - "Statistical=0.914, p=0.014\n", - "FRA-GDP per capita growth (annual %)\n", - "Statistical=0.856, p=0.001\n", - "FRA-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.924, p=0.026\n", - "FRA-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.775, p=0.000\n", - "FRA-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.851, p=0.000\n", - "FRA-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.833, p=0.000\n", - "FRA-GNI (current US$)\n", - "Statistical=0.780, p=0.000\n", - "FRA-GNI growth (annual %)\n", - "Statistical=0.853, p=0.000\n", - "FRA-GNI per capita growth (annual %)\n", - "Statistical=0.836, p=0.000\n", - "FRA-General government final consumption expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-General government final consumption expenditure (current US$)\n", - "Statistical=0.708, p=0.000\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "FRA-Gini index\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Goods exports (BoP, current US$)\n", - "Statistical=0.714, p=0.000\n", - "FRA-Goods imports (BoP, current US$)\n", - "Statistical=0.893, p=0.004\n", - "FRA-Grants and other revenue (% of revenue)\n", - "Statistical=0.753, p=0.000\n", - "FRA-Gross capital formation (% of GDP)\n", - "Statistical=0.876, p=0.002\n", - "FRA-Gross capital formation (current US$)\n", - "Statistical=0.879, p=0.002\n", - "FRA-Gross domestic savings (% of GDP)\n", - "Statistical=0.977, p=0.720\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Gross domestic savings (current US$)\n", - "Statistical=0.955, p=0.204\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.977, p=0.708\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Gross savings (% of GDP)\n", - "Statistical=0.955, p=0.200\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Gross savings (current US$)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.838, p=0.000\n", - "FRA-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.910, p=0.011\n", - "FRA-High-technology exports (% of manufactured exports)\n", - "Statistical=0.915, p=0.015\n", - "FRA-High-technology exports (current US$)\n", - "Statistical=0.856, p=0.001\n", - "FRA-Hospital beds (per 1,000 people)\n", - "Statistical=0.922, p=0.024\n", - "FRA-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.875, p=0.001\n", - "FRA-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.801, p=0.000\n", - "FRA-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.801, p=0.000\n", - "FRA-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.801, p=0.000\n", - "FRA-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.960, p=0.283\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.955, p=0.201\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.983, p=0.873\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.895, p=0.005\n", - "FRA-ICT goods exports (% of total goods exports)\n", - "Statistical=0.860, p=0.001\n", - "FRA-ICT goods imports (% total goods imports)\n", - "Statistical=0.865, p=0.001\n", - "FRA-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.825, p=0.000\n", - "FRA-ICT service exports (BoP, current US$)\n", - "Statistical=0.797, p=0.000\n", - "FRA-Import unit value index (2000 = 100)\n", - "Statistical=0.846, p=0.000\n", - "FRA-Import value index (2000 = 100)\n", - "Statistical=0.923, p=0.025\n", - "FRA-Import volume index (2000 = 100)\n", - "Statistical=0.888, p=0.003\n", - "FRA-Imports of goods and services (% of GDP)\n", - "Statistical=0.971, p=0.532\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.910, p=0.011\n", - "FRA-Imports of goods and services (current US$)\n", - "Statistical=0.909, p=0.011\n", - "FRA-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "FRA-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Income share held by highest 20%\n", - "Statistical=0.575, p=0.000\n", - "FRA-Income share held by lowest 10%\n", - "Statistical=0.815, p=0.000\n", - "FRA-Income share held by lowest 20%\n", - "Statistical=0.807, p=0.000\n", - "FRA-Income share held by second 20%\n", - "Statistical=0.850, p=0.000\n", - "FRA-Income share held by third 20%\n", - "Statistical=0.868, p=0.001\n", - "FRA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.826, p=0.000\n", - "FRA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.780, p=0.000\n", - "FRA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.841, p=0.000\n", - "FRA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.868, p=0.001\n", - "FRA-Individuals using the Internet (% of population)\n", - "Statistical=0.842, p=0.000\n", - "FRA-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.813, p=0.000\n", - "FRA-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.463, p=0.000\n", - "FRA-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.790, p=0.000\n", - "FRA-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.771, p=0.000\n", - "FRA-Intentional homicides (per 100,000 people)\n", - "Statistical=0.783, p=0.000\n", - "FRA-Interest payments (% of revenue)\n", - "Statistical=0.843, p=0.000\n", - "FRA-International migrant stock (% of population)\n", - "Statistical=0.885, p=0.003\n", - "FRA-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.870, p=0.001\n", - "FRA-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.781, p=0.000\n", - "FRA-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.757, p=0.000\n", - "FRA-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.774, p=0.000\n", - "FRA-Land area (sq. km)\n", - "Statistical=0.777, p=0.000\n", - "FRA-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.763, p=0.000\n", - "FRA-Land under cereal production (hectares)\n", - "Statistical=0.771, p=0.000\n", - "FRA-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.953, p=0.174\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Lifetime risk of maternal death (%)\n", - "Statistical=0.893, p=0.004\n", - "FRA-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.926, p=0.030\n", - "FRA-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.836, p=0.000\n", - "FRA-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=0.920, p=0.021\n", - "FRA-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.917, p=0.017\n", - "FRA-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.920, p=0.021\n", - "FRA-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.744, p=0.000\n", - "FRA-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.754, p=0.000\n", - "FRA-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.967, p=0.432\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Low-birthweight babies (% of births)\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Lower secondary school starting age (years)\n", - "Statistical=0.904, p=0.008\n", - "FRA-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.882, p=0.002\n", - "FRA-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.913, p=0.014\n", - "FRA-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.906, p=0.009\n", - "FRA-Marine protected areas (% of territorial waters)\n", - "Statistical=0.887, p=0.003\n", - "FRA-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.907, p=0.010\n", - "FRA-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.915, p=0.015\n", - "FRA-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.896, p=0.005\n", - "FRA-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.927, p=0.032\n", - "FRA-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.811, p=0.000\n", - "FRA-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.793, p=0.000\n", - "FRA-Merchandise exports (current US$)\n", - "Statistical=0.954, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.949, p=0.137\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.955, p=0.204\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.958, p=0.244\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.978, p=0.745\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.946, p=0.107\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.966, p=0.406\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.959, p=0.262\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.960, p=0.279\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.952, p=0.161\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.885, p=0.003\n", - "FRA-Merchandise imports (current US$)\n", - "Statistical=0.822, p=0.000\n", - "FRA-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.774, p=0.000\n", - "FRA-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.915, p=0.015\n", - "FRA-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.901, p=0.006\n", - "FRA-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.547, p=0.000\n", - "FRA-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.809, p=0.000\n", - "FRA-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.849, p=0.000\n", - "FRA-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.852, p=0.000\n", - "FRA-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.956, p=0.215\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.929, p=0.038\n", - "FRA-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.881, p=0.002\n", - "FRA-Merchandise trade (% of GDP)\n", - "Statistical=0.973, p=0.582\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Methane emissions (% change from 1990)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.950, p=0.145\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Military expenditure (% of GDP)\n", - "Statistical=0.884, p=0.002\n", - "FRA-Military expenditure (% of general government expenditure)\n", - "Statistical=0.861, p=0.001\n", - "FRA-Military expenditure (current USD)\n", - "Statistical=0.918, p=0.019\n", - "FRA-Mineral rents (% of GDP)\n", - "Statistical=0.964, p=0.345\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Mobile cellular subscriptions\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Natural gas rents (% of GDP)\n", - "Statistical=0.915, p=0.015\n", - "FRA-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.884, p=0.002\n", - "FRA-Net capital account (BoP, current US$)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.955, p=0.198\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Net financial account (BoP, current US$)\n", - "Statistical=0.978, p=0.747\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Net migration\n", - "Statistical=0.920, p=0.021\n", - "FRA-Net primary income (BoP, current US$)\n", - "Statistical=0.920, p=0.021\n", - "FRA-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.919, p=0.019\n", - "FRA-Net secondary income (BoP, current US$)\n", - "Statistical=0.846, p=0.000\n", - "FRA-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Net trade in goods (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Net trade in goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-New businesses registered (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.814, p=0.000\n", - "FRA-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.810, p=0.000\n", - "FRA-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Number of deaths ages 10-14 years\n", - "Statistical=0.973, p=0.598\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Number of deaths ages 15-19 years\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Number of deaths ages 20-24 years\n", - "Statistical=0.968, p=0.449\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Number of deaths ages 5-9 years\n", - "Statistical=0.946, p=0.112\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Number of infant deaths\n", - "Statistical=0.803, p=0.000\n", - "FRA-Number of maternal deaths\n", - "Statistical=0.957, p=0.223\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Number of neonatal deaths\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Number of under-five deaths\n", - "Statistical=0.920, p=0.021\n", - "FRA-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.911, p=0.012\n", - "FRA-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.897, p=0.005\n", - "FRA-Oil rents (% of GDP)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.926, p=0.031\n", - "FRA-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.925, p=0.028\n", - "FRA-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.905, p=0.008\n", - "FRA-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.926, p=0.030\n", - "FRA-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.917, p=0.018\n", - "FRA-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.917, p=0.018\n", - "FRA-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.927, p=0.033\n", - "FRA-People using at least basic drinking water services (% of population)\n", - "Statistical=0.846, p=0.000\n", - "FRA-People using at least basic sanitation services (% of population)\n", - "Statistical=0.932, p=0.045\n", - "FRA-People using safely managed sanitation services (% of population)\n", - "Statistical=0.932, p=0.045\n", - "FRA-Permanent cropland (% of land area)\n", - "Statistical=0.986, p=0.946\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Physicians (per 1,000 people)\n", - "Statistical=0.893, p=0.004\n", - "FRA-Population ages 0-14 (% of total population)\n", - "Statistical=0.893, p=0.004\n", - "FRA-Population ages 15-64 (% of total population)\n", - "Statistical=0.927, p=0.033\n", - "FRA-Population ages 65 and above (% of total population)\n", - "Statistical=0.868, p=0.001\n", - "FRA-Population density (people per sq. km of land area)\n", - "Statistical=0.979, p=0.783\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Population growth (annual %)\n", - "Statistical=0.893, p=0.004\n", - "FRA-Population in largest city\n", - "Statistical=0.943, p=0.093\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Population in the largest city (% of urban population)\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.878, p=0.002\n", - "FRA-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.889, p=0.003\n", - "FRA-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.917, p=0.018\n", - "FRA-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.927, p=0.033\n", - "FRA-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=0.832, p=0.000\n", - "FRA-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.914, p=0.015\n", - "FRA-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.914, p=0.015\n", - "FRA-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.926, p=0.030\n", - "FRA-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.847, p=0.000\n", - "FRA-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.990, p=0.989\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.892, p=0.004\n", - "FRA-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.892, p=0.004\n", - "FRA-Prevalence of undernourishment (% of population)\n", - "Statistical=0.925, p=0.029\n", - "FRA-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.981, p=0.830\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Primary income payments (BoP, current US$)\n", - "Statistical=0.847, p=0.000\n", - "FRA-Primary income receipts (BoP, current US$)\n", - "Statistical=0.892, p=0.004\n", - "FRA-Primary school starting age (years)\n", - "Statistical=0.942, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Private credit bureau coverage (% of adults)\n", - "Statistical=0.827, p=0.000\n", - "FRA-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.914, p=0.015\n", - "FRA-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.926, p=0.030\n", - "FRA-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.983, p=0.886\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Procedures to build a warehouse (number)\n", - "Statistical=0.964, p=0.361\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Procedures to register property (number)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Profit tax (% of commercial profits)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Progression to secondary school (%)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.852, p=0.000\n", - "FRA-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.885, p=0.003\n", - "FRA-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.869, p=0.001\n", - "FRA-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.710, p=0.000\n", - "FRA-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Public credit registry coverage (% of adults)\n", - "Statistical=0.881, p=0.002\n", - "FRA-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.845, p=0.000\n", - "FRA-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.860, p=0.001\n", - "FRA-Rail lines (total route-km)\n", - "Statistical=0.361, p=0.000\n", - "FRA-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.286, p=0.000\n", - "FRA-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Refugee population by country or territory of asylum\n", - "Statistical=0.952, p=0.166\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Refugee population by country or territory of origin\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.923, p=0.026\n", - "FRA-Research and development expenditure (% of GDP)\n", - "Statistical=0.847, p=0.000\n", - "FRA-Researchers in R&D (per million people)\n", - "Statistical=0.926, p=0.031\n", - "FRA-Reserves and related items (BoP, current US$)\n", - "Statistical=0.955, p=0.198\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.948, p=0.125\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Rural land area (sq. km)\n", - "Statistical=0.875, p=0.002\n", - "FRA-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.963, p=0.337\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.974, p=0.607\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Rural population\n", - "Statistical=0.915, p=0.015\n", - "FRA-Rural population (% of total population)\n", - "Statistical=0.915, p=0.015\n", - "FRA-Rural population growth (annual %)\n", - "Statistical=0.906, p=0.009\n", - "FRA-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.834, p=0.000\n", - "FRA-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Scientific and technical journal articles\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.613, p=0.000\n", - "FRA-Secure Internet servers\n", - "Statistical=0.918, p=0.019\n", - "FRA-Secure Internet servers (per 1 million people)\n", - "Statistical=0.913, p=0.013\n", - "FRA-Service exports (BoP, current US$)\n", - "Statistical=0.913, p=0.013\n", - "FRA-Service imports (BoP, current US$)\n", - "Statistical=0.916, p=0.017\n", - "FRA-Sex ratio at birth (male births per female births)\n", - "Statistical=0.837, p=0.000\n", - "FRA-Social contributions (% of revenue)\n", - "Statistical=0.922, p=0.023\n", - "FRA-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.955, p=0.195\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Start-up procedures to register a business (number)\n", - "Statistical=0.964, p=0.346\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.946, p=0.110\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.884, p=0.002\n", - "FRA-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.924, p=0.027\n", - "FRA-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.924, p=0.027\n", - "FRA-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.925, p=0.029\n", - "FRA-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.843, p=0.000\n", - "FRA-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.838, p=0.000\n", - "FRA-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.722, p=0.000\n", - "FRA-Surface area (sq. km)\n", - "Statistical=0.692, p=0.000\n", - "FRA-Tax payments (number)\n", - "Statistical=0.906, p=0.009\n", - "FRA-Tax revenue (% of GDP)\n", - "Statistical=0.973, p=0.577\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Taxes less subsidies on products (current US$)\n", - "Statistical=0.901, p=0.007\n", - "FRA-Taxes on goods and services (% of revenue)\n", - "Statistical=0.901, p=0.007\n", - "FRA-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.916, p=0.016\n", - "FRA-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.850, p=0.000\n", - "FRA-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.882, p=0.002\n", - "FRA-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.966, p=0.396\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Time required to build a warehouse (days)\n", - "Statistical=0.901, p=0.007\n", - "FRA-Time required to enforce a contract (days)\n", - "Statistical=0.926, p=0.030\n", - "FRA-Time required to get electricity (days)\n", - "Statistical=0.954, p=0.184\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Time required to register property (days)\n", - "Statistical=0.916, p=0.016\n", - "FRA-Time required to start a business (days)\n", - "Statistical=0.671, p=0.000\n", - "FRA-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.751, p=0.000\n", - "FRA-Time to obtain an electrical connection (days)\n", - "Statistical=0.758, p=0.000\n", - "FRA-Time to prepare and pay taxes (hours)\n", - "Statistical=0.745, p=0.000\n", - "FRA-Time to resolve insolvency (years)\n", - "Statistical=0.634, p=0.000\n", - "FRA-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.526, p=0.000\n", - "FRA-Total fisheries production (metric tons)\n", - "Statistical=0.544, p=0.000\n", - "FRA-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.495, p=0.000\n", - "FRA-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.700, p=0.000\n", - "FRA-Total natural resources rents (% of GDP)\n", - "Statistical=0.766, p=0.000\n", - "FRA-Total reserves (includes gold, current US$)\n", - "Statistical=0.792, p=0.000\n", - "FRA-Total reserves in months of imports\n", - "Statistical=0.824, p=0.000\n", - "FRA-Total reserves minus gold (current US$)\n", - "Statistical=0.863, p=0.001\n", - "FRA-Total tax and contribution rate (% of profit)\n", - "Statistical=0.896, p=0.005\n", - "FRA-Trade (% of GDP)\n", - "Statistical=0.776, p=0.000\n", - "FRA-Trade in services (% of GDP)\n", - "Statistical=0.837, p=0.000\n", - "FRA-Transport services (% of commercial service exports)\n", - "Statistical=0.811, p=0.000\n", - "FRA-Transport services (% of commercial service imports)\n", - "Statistical=0.847, p=0.000\n", - "FRA-Transport services (% of service exports, BoP)\n", - "Statistical=0.895, p=0.005\n", - "FRA-Transport services (% of service imports, BoP)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Travel services (% of commercial service exports)\n", - "Statistical=0.861, p=0.001\n", - "FRA-Travel services (% of commercial service imports)\n", - "Statistical=0.974, p=0.609\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Travel services (% of service exports, BoP)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Travel services (% of service imports, BoP)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.925, p=0.029\n", - "FRA-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.859, p=0.001\n", - "FRA-UHC service coverage index\n", - "Statistical=0.843, p=0.000\n", - "FRA-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.821, p=0.000\n", - "FRA-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.917, p=0.017\n", - "FRA-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.955, p=0.206\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Urban land area (sq. km)\n", - "Statistical=0.957, p=0.227\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.906, p=0.009\n", - "FRA-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.925, p=0.028\n", - "FRA-Urban population\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Urban population (% of total population)\n", - "Statistical=0.966, p=0.395\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Urban population growth (annual %)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-GDP (current US$)+1\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=0.820, p=0.000\n", - "FRA-GDP (current US$)+2\n", - "Statistical=0.731, p=0.000\n", - "FRA-GDP (current US$)+3\n", - "Statistical=0.826, p=0.000\n", - "FRA-GDP (current US$)+5\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-GDP (current US$)+8\n", - "Statistical=0.977, p=0.705\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-GDP (current US$)+13\n", - "Statistical=0.885, p=0.003\n", - "FRA-GDP (current US$)+21\n", - "Statistical=0.885, p=0.003\n", - "FRA-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.919, p=0.020\n", - "FRA-Deposit interest rate (%)\n", - "Statistical=0.905, p=0.008\n", - "FRA-Other taxes (% of revenue)\n", - "Statistical=0.916, p=0.016\n", - "FRA-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.955, p=0.194\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Taxes on international trade (% of revenue)\n", - "Statistical=0.955, p=0.194\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.959, p=0.254\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Broad money (% of GDP)\n", - "Statistical=0.922, p=0.023\n", - "FRA-Broad money growth (annual %)\n", - "Statistical=0.952, p=0.159\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Broad money to total reserves ratio\n", - "Statistical=0.923, p=0.026\n", - "FRA-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.951, p=0.151\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.870, p=0.001\n", - "FRA-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.901, p=0.007\n", - "FRA-External health expenditure (% of current health expenditure)\n", - "Statistical=0.964, p=0.347\n", - "Data is NORMAL ( H0 not denied )\n", - "FRA-External health expenditure per capita (current US$)\n", - "Statistical=0.713, p=0.000\n", - "FRA-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.858, p=0.001\n", - "FRA-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.881, p=0.002\n", - "FRA-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.922, p=0.024\n", - "FRA-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.913, p=0.013\n", - "FRA-People practicing open defecation (% of population)\n", - "Statistical=0.932, p=0.046\n", - "FRA-Taxes on exports (% of tax revenue)\n", - "Statistical=0.912, p=0.013\n", - "FRA-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.758, p=0.000\n", - "FRA-Country\n", - "Statistical=0.895, p=0.005\n", - "FRA-Year\n", - "Statistical=0.874, p=0.001\n", - "FRA-Continent\n", - "Statistical=0.915, p=0.015\n", - "SWE-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.606, p=0.000\n", - "SWE-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.619, p=0.000\n", - "SWE-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.642, p=0.000\n", - "SWE-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.642, p=0.000\n", - "SWE-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.617, p=0.000\n", - "SWE-Age dependency ratio (% of working-age population)\n", - "Statistical=0.716, p=0.000\n", - "SWE-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.662, p=0.000\n", - "SWE-Agricultural land (% of land area)\n", - "Statistical=0.617, p=0.000\n", - "SWE-Agricultural land (sq. km)\n", - "Statistical=0.615, p=0.000\n", - "SWE-Agricultural methane emissions (% of total)\n", - "Statistical=0.965, p=0.363\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.828, p=0.000\n", - "SWE-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.672, p=0.000\n", - "SWE-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.966, p=0.393\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.940, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.859, p=0.001\n", - "SWE-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.969, p=0.478\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Aquaculture production (metric tons)\n", - "Statistical=0.913, p=0.013\n", - "SWE-Arable land (% of land area)\n", - "Statistical=0.888, p=0.003\n", - "SWE-Arable land (hectares per person)\n", - "Statistical=0.966, p=0.403\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Arable land (hectares)\n", - "Statistical=0.890, p=0.003\n", - "SWE-Armed forces personnel (% of total labor force)\n", - "Statistical=0.966, p=0.409\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.890, p=0.003\n", - "SWE-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.926, p=0.030\n", - "SWE-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Average precipitation in depth (mm per year)\n", - "Statistical=0.933, p=0.048\n", - "SWE-Average time to clear exports through customs (days)\n", - "Statistical=0.857, p=0.001\n", - "SWE-Births attended by skilled health staff (% of total)\n", - "Statistical=0.957, p=0.230\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.926, p=0.030\n", - "SWE-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.934, p=0.050\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-CO2 emissions (kt)\n", - "Statistical=0.912, p=0.013\n", - "SWE-CO2 emissions (metric tons per capita)\n", - "Statistical=0.872, p=0.001\n", - "SWE-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.918, p=0.018\n", - "SWE-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.873, p=0.001\n", - "SWE-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.909, p=0.010\n", - "SWE-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.807, p=0.000\n", - "SWE-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.578, p=0.000\n", - "SWE-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.804, p=0.000\n", - "SWE-Capture fisheries production (metric tons)\n", - "Statistical=0.805, p=0.000\n", - "SWE-Cereal production (metric tons)\n", - "Statistical=0.926, p=0.030\n", - "SWE-Cereal yield (kg per hectare)\n", - "Statistical=0.810, p=0.000\n", - "SWE-Changes in inventories (current US$)\n", - "Statistical=0.949, p=0.135\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.836, p=0.000\n", - "SWE-Children out of school (% of primary school age)\n", - "Statistical=0.900, p=0.006\n", - "SWE-Coal rents (% of GDP)\n", - "Statistical=0.915, p=0.016\n", - "SWE-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.723, p=0.000\n", - "SWE-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.792, p=0.000\n", - "SWE-Commercial service exports (current US$)\n", - "Statistical=0.801, p=0.000\n", - "SWE-Commercial service imports (current US$)\n", - "Statistical=0.907, p=0.009\n", - "SWE-Completeness of birth registration (%)\n", - "Statistical=0.809, p=0.000\n", - "SWE-Consumer price index (2010 = 100)\n", - "Statistical=0.977, p=0.695\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.901, p=0.006\n", - "SWE-Crop production index (2014-2016 = 100)\n", - "Statistical=0.961, p=0.301\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Current account balance (% of GDP)\n", - "Statistical=0.835, p=0.000\n", - "SWE-Current account balance (BoP, current US$)\n", - "Statistical=0.976, p=0.677\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Current health expenditure (% of GDP)\n", - "Statistical=0.925, p=0.029\n", - "SWE-Current health expenditure per capita (current US$)\n", - "Statistical=0.925, p=0.029\n", - "SWE-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.954, p=0.183\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.978, p=0.746\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.901, p=0.006\n", - "SWE-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.817, p=0.000\n", - "SWE-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.930, p=0.039\n", - "SWE-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.816, p=0.000\n", - "SWE-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.953, p=0.176\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.868, p=0.001\n", - "SWE-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.680, p=0.000\n", - "SWE-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.906, p=0.009\n", - "SWE-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.816, p=0.000\n", - "SWE-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.816, p=0.000\n", - "SWE-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.905, p=0.008\n", - "SWE-Electric power consumption (kWh per capita)\n", - "Statistical=0.920, p=0.021\n", - "SWE-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Electricity production from coal sources (% of total)\n", - "Statistical=0.931, p=0.042\n", - "SWE-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.839, p=0.000\n", - "SWE-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.842, p=0.000\n", - "SWE-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.948, p=0.123\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Electricity production from oil sources (% of total)\n", - "Statistical=0.861, p=0.001\n", - "SWE-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.904, p=0.008\n", - "SWE-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.523, p=0.000\n", - "SWE-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.944, p=0.098\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Export unit value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Export value index (2000 = 100)\n", - "Statistical=0.754, p=0.000\n", - "SWE-Export volume index (2000 = 100)\n", - "Statistical=0.773, p=0.000\n", - "SWE-Exports of goods and services (% of GDP)\n", - "Statistical=0.778, p=0.000\n", - "SWE-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.896, p=0.005\n", - "SWE-Exports of goods and services (current US$)\n", - "Statistical=0.892, p=0.004\n", - "SWE-External balance on goods and services (% of GDP)\n", - "Statistical=0.919, p=0.019\n", - "SWE-External balance on goods and services (current US$)\n", - "Statistical=0.975, p=0.634\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.615, p=0.000\n", - "SWE-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.905, p=0.009\n", - "SWE-Final consumption expenditure (% of GDP)\n", - "Statistical=0.905, p=0.009\n", - "SWE-Final consumption expenditure (current US$)\n", - "Statistical=0.880, p=0.002\n", - "SWE-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.923, p=0.025\n", - "SWE-Firms offering formal training (% of firms)\n", - "Statistical=0.909, p=0.011\n", - "SWE-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.947, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.965, p=0.377\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Fixed broadband subscriptions\n", - "Statistical=0.913, p=0.014\n", - "SWE-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.895, p=0.005\n", - "SWE-Fixed telephone subscriptions\n", - "Statistical=0.905, p=0.008\n", - "SWE-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.876, p=0.002\n", - "SWE-Food exports (% of merchandise exports)\n", - "Statistical=0.814, p=0.000\n", - "SWE-Food imports (% of merchandise imports)\n", - "Statistical=0.902, p=0.007\n", - "SWE-Food production index (2014-2016 = 100)\n", - "Statistical=0.919, p=0.020\n", - "SWE-Forest area (% of land area)\n", - "Statistical=0.857, p=0.001\n", - "SWE-Forest area (sq. km)\n", - "Statistical=0.900, p=0.006\n", - "SWE-Forest rents (% of GDP)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.919, p=0.019\n", - "SWE-Fuel exports (% of merchandise exports)\n", - "Statistical=0.835, p=0.000\n", - "SWE-Fuel imports (% of merchandise imports)\n", - "Statistical=0.814, p=0.000\n", - "SWE-GDP (current US$)\n", - "Statistical=0.967, p=0.432\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-GDP deflator (base year varies by country)\n", - "Statistical=0.962, p=0.310\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.954, p=0.182\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-GDP growth (annual %)\n", - "Statistical=0.971, p=0.533\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-GDP per capita (current US$)\n", - "Statistical=0.811, p=0.000\n", - "SWE-GDP per capita growth (annual %)\n", - "Statistical=0.859, p=0.001\n", - "SWE-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.904, p=0.008\n", - "SWE-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.800, p=0.000\n", - "SWE-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.611, p=0.000\n", - "SWE-GNI (current US$)\n", - "Statistical=0.913, p=0.013\n", - "SWE-GNI growth (annual %)\n", - "Statistical=0.755, p=0.000\n", - "SWE-GNI per capita growth (annual %)\n", - "Statistical=0.577, p=0.000\n", - "SWE-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.977, p=0.700\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-General government final consumption expenditure (current US$)\n", - "Statistical=0.914, p=0.014\n", - "SWE-Gini index\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Goods imports (BoP, current US$)\n", - "Statistical=0.867, p=0.001\n", - "SWE-Grants and other revenue (% of revenue)\n", - "Statistical=0.677, p=0.000\n", - "SWE-Gross capital formation (% of GDP)\n", - "Statistical=0.849, p=0.000\n", - "SWE-Gross capital formation (current US$)\n", - "Statistical=0.879, p=0.002\n", - "SWE-Gross domestic savings (% of GDP)\n", - "Statistical=0.969, p=0.484\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Gross domestic savings (current US$)\n", - "Statistical=0.955, p=0.197\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.968, p=0.443\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Gross savings (% of GDP)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Gross savings (current US$)\n", - "Statistical=0.969, p=0.482\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.837, p=0.000\n", - "SWE-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.555, p=0.000\n", - "SWE-High-technology exports (% of manufactured exports)\n", - "Statistical=0.555, p=0.000\n", - "SWE-High-technology exports (current US$)\n", - "Statistical=0.866, p=0.001\n", - "SWE-Hospital beds (per 1,000 people)\n", - "Statistical=0.828, p=0.000\n", - "SWE-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.852, p=0.000\n", - "SWE-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.738, p=0.000\n", - "SWE-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.738, p=0.000\n", - "SWE-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.738, p=0.000\n", - "SWE-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.952, p=0.159\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.908, p=0.010\n", - "SWE-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.965, p=0.363\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.791, p=0.000\n", - "SWE-ICT goods exports (% of total goods exports)\n", - "Statistical=0.701, p=0.000\n", - "SWE-ICT goods imports (% total goods imports)\n", - "Statistical=0.860, p=0.001\n", - "SWE-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.763, p=0.000\n", - "SWE-ICT service exports (BoP, current US$)\n", - "Statistical=0.836, p=0.000\n", - "SWE-Import unit value index (2000 = 100)\n", - "Statistical=0.815, p=0.000\n", - "SWE-Import value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Import volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Imports of goods and services (% of GDP)\n", - "Statistical=0.974, p=0.608\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.953, p=0.174\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Imports of goods and services (current US$)\n", - "Statistical=0.667, p=0.000\n", - "SWE-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "SWE-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Income share held by lowest 10%\n", - "Statistical=0.812, p=0.000\n", - "SWE-Income share held by lowest 20%\n", - "Statistical=0.832, p=0.000\n", - "SWE-Income share held by second 20%\n", - "Statistical=0.741, p=0.000\n", - "SWE-Income share held by third 20%\n", - "Statistical=0.789, p=0.000\n", - "SWE-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.762, p=0.000\n", - "SWE-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.834, p=0.000\n", - "SWE-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.807, p=0.000\n", - "SWE-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.789, p=0.000\n", - "SWE-Individuals using the Internet (% of population)\n", - "Statistical=0.852, p=0.000\n", - "SWE-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.845, p=0.000\n", - "SWE-Industry (including construction), value added (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.434, p=0.000\n", - "SWE-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.884, p=0.002\n", - "SWE-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.893, p=0.004\n", - "SWE-Intentional homicides (per 100,000 people)\n", - "Statistical=0.888, p=0.003\n", - "SWE-Interest payments (% of revenue)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-International migrant stock (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.738, p=0.000\n", - "SWE-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.752, p=0.000\n", - "SWE-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.733, p=0.000\n", - "SWE-Land area (sq. km)\n", - "Statistical=0.899, p=0.006\n", - "SWE-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.829, p=0.000\n", - "SWE-Land under cereal production (hectares)\n", - "Statistical=0.865, p=0.001\n", - "SWE-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.857, p=0.001\n", - "SWE-Lifetime risk of maternal death (%)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.872, p=0.001\n", - "SWE-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.938, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.896, p=0.005\n", - "SWE-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.888, p=0.003\n", - "SWE-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.913, p=0.014\n", - "SWE-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.834, p=0.000\n", - "SWE-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.830, p=0.000\n", - "SWE-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.974, p=0.622\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.969, p=0.484\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Low-birthweight babies (% of births)\n", - "Statistical=0.929, p=0.037\n", - "SWE-Lower secondary school starting age (years)\n", - "Statistical=0.895, p=0.005\n", - "SWE-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.878, p=0.002\n", - "SWE-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.898, p=0.005\n", - "SWE-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.886, p=0.003\n", - "SWE-Marine protected areas (% of territorial waters)\n", - "Statistical=0.864, p=0.001\n", - "SWE-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.896, p=0.005\n", - "SWE-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.891, p=0.004\n", - "SWE-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.858, p=0.001\n", - "SWE-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.903, p=0.007\n", - "SWE-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.983, p=0.872\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.927, p=0.033\n", - "SWE-Merchandise exports (current US$)\n", - "Statistical=0.975, p=0.652\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.968, p=0.444\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.957, p=0.233\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.959, p=0.254\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.952, p=0.162\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.961, p=0.298\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.962, p=0.306\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.886, p=0.003\n", - "SWE-Merchandise imports (current US$)\n", - "Statistical=0.846, p=0.000\n", - "SWE-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.800, p=0.000\n", - "SWE-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.929, p=0.037\n", - "SWE-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.859, p=0.001\n", - "SWE-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Statistical=0.945, p=0.103\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.833, p=0.000\n", - "SWE-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.851, p=0.000\n", - "SWE-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.867, p=0.001\n", - "SWE-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.905, p=0.008\n", - "SWE-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.858, p=0.001\n", - "SWE-Merchandise trade (% of GDP)\n", - "Statistical=0.978, p=0.743\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Methane emissions (% change from 1990)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.954, p=0.188\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Military expenditure (% of GDP)\n", - "Statistical=0.858, p=0.001\n", - "SWE-Military expenditure (% of general government expenditure)\n", - "Statistical=0.862, p=0.001\n", - "SWE-Military expenditure (current USD)\n", - "Statistical=0.922, p=0.024\n", - "SWE-Mineral rents (% of GDP)\n", - "Statistical=0.927, p=0.032\n", - "SWE-Mobile cellular subscriptions\n", - "Statistical=0.932, p=0.044\n", - "SWE-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Natural gas rents (% of GDP)\n", - "Statistical=0.967, p=0.410\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.760, p=0.000\n", - "SWE-Net capital account (BoP, current US$)\n", - "Statistical=0.978, p=0.739\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.982, p=0.842\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Net financial account (BoP, current US$)\n", - "Statistical=0.947, p=0.118\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Net migration\n", - "Statistical=0.914, p=0.014\n", - "SWE-Net primary income (BoP, current US$)\n", - "Statistical=0.914, p=0.014\n", - "SWE-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.932, p=0.044\n", - "SWE-Net secondary income (BoP, current US$)\n", - "Statistical=0.874, p=0.001\n", - "SWE-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.523, p=0.000\n", - "SWE-Net trade in goods (BoP, current US$)\n", - "Statistical=0.523, p=0.000\n", - "SWE-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.523, p=0.000\n", - "SWE-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.523, p=0.000\n", - "SWE-New businesses registered (number)\n", - "Statistical=0.523, p=0.000\n", - "SWE-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.811, p=0.000\n", - "SWE-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.797, p=0.000\n", - "SWE-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.816, p=0.000\n", - "SWE-Number of deaths ages 10-14 years\n", - "Statistical=0.831, p=0.000\n", - "SWE-Number of deaths ages 15-19 years\n", - "Statistical=0.881, p=0.002\n", - "SWE-Number of deaths ages 20-24 years\n", - "Statistical=0.894, p=0.004\n", - "SWE-Number of deaths ages 5-9 years\n", - "Statistical=0.971, p=0.522\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Number of infant deaths\n", - "Statistical=0.919, p=0.020\n", - "SWE-Number of maternal deaths\n", - "Statistical=0.978, p=0.749\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Number of neonatal deaths\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Number of under-five deaths\n", - "Statistical=0.956, p=0.217\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.984, p=0.906\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.971, p=0.522\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Oil rents (% of GDP)\n", - "Statistical=0.961, p=0.298\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.890, p=0.004\n", - "SWE-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.874, p=0.001\n", - "SWE-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.932, p=0.044\n", - "SWE-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.968, p=0.441\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.930, p=0.038\n", - "SWE-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.930, p=0.038\n", - "SWE-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-People using at least basic drinking water services (% of population)\n", - "Statistical=0.861, p=0.001\n", - "SWE-People using at least basic sanitation services (% of population)\n", - "Statistical=0.967, p=0.415\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-People using safely managed sanitation services (% of population)\n", - "Statistical=0.967, p=0.415\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Permanent cropland (% of land area)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Physicians (per 1,000 people)\n", - "Statistical=0.897, p=0.005\n", - "SWE-Population ages 0-14 (% of total population)\n", - "Statistical=0.897, p=0.005\n", - "SWE-Population ages 15-64 (% of total population)\n", - "Statistical=0.937, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Population ages 65 and above (% of total population)\n", - "Statistical=0.886, p=0.003\n", - "SWE-Population density (people per sq. km of land area)\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Population growth (annual %)\n", - "Statistical=0.897, p=0.005\n", - "SWE-Population in largest city\n", - "Statistical=0.920, p=0.021\n", - "SWE-Population in the largest city (% of urban population)\n", - "Statistical=0.902, p=0.007\n", - "SWE-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.866, p=0.001\n", - "SWE-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.870, p=0.001\n", - "SWE-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.930, p=0.038\n", - "SWE-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.922, p=0.023\n", - "SWE-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=0.853, p=0.000\n", - "SWE-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.930, p=0.039\n", - "SWE-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.930, p=0.039\n", - "SWE-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.856, p=0.001\n", - "SWE-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.927, p=0.032\n", - "SWE-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.889, p=0.003\n", - "SWE-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.889, p=0.003\n", - "SWE-Prevalence of undernourishment (% of population)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Primary income payments (BoP, current US$)\n", - "Statistical=0.825, p=0.000\n", - "SWE-Primary income receipts (BoP, current US$)\n", - "Statistical=0.889, p=0.003\n", - "SWE-Primary school starting age (years)\n", - "Statistical=0.921, p=0.022\n", - "SWE-Private credit bureau coverage (% of adults)\n", - "Statistical=0.825, p=0.000\n", - "SWE-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.930, p=0.039\n", - "SWE-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.924, p=0.026\n", - "SWE-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.987, p=0.952\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Procedures to build a warehouse (number)\n", - "Statistical=0.967, p=0.410\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Procedures to register property (number)\n", - "Statistical=0.916, p=0.016\n", - "SWE-Profit tax (% of commercial profits)\n", - "Statistical=0.916, p=0.016\n", - "SWE-Progression to secondary school (%)\n", - "Statistical=0.930, p=0.039\n", - "SWE-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.867, p=0.001\n", - "SWE-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.892, p=0.004\n", - "SWE-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.869, p=0.001\n", - "SWE-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.915, p=0.015\n", - "SWE-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.878, p=0.002\n", - "SWE-Public credit registry coverage (% of adults)\n", - "Statistical=0.814, p=0.000\n", - "SWE-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.867, p=0.001\n", - "SWE-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.888, p=0.003\n", - "SWE-Rail lines (total route-km)\n", - "Statistical=0.858, p=0.001\n", - "SWE-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Refugee population by country or territory of asylum\n", - "Statistical=0.965, p=0.383\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Refugee population by country or territory of origin\n", - "Statistical=0.984, p=0.903\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.944, p=0.098\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.944, p=0.098\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.920, p=0.021\n", - "SWE-Research and development expenditure (% of GDP)\n", - "Statistical=0.876, p=0.002\n", - "SWE-Researchers in R&D (per million people)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Reserves and related items (BoP, current US$)\n", - "Statistical=0.982, p=0.842\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Rural land area (sq. km)\n", - "Statistical=0.848, p=0.000\n", - "SWE-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.966, p=0.401\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Rural population\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Rural population (% of total population)\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Rural population growth (annual %)\n", - "Statistical=0.921, p=0.022\n", - "SWE-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.874, p=0.001\n", - "SWE-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.926, p=0.030\n", - "SWE-Scientific and technical journal articles\n", - "Statistical=0.945, p=0.103\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Secure Internet servers\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Secure Internet servers (per 1 million people)\n", - "Statistical=0.926, p=0.030\n", - "SWE-Service exports (BoP, current US$)\n", - "Statistical=0.926, p=0.030\n", - "SWE-Service imports (BoP, current US$)\n", - "Statistical=0.921, p=0.022\n", - "SWE-Sex ratio at birth (male births per female births)\n", - "Statistical=0.867, p=0.001\n", - "SWE-Social contributions (% of revenue)\n", - "Statistical=0.964, p=0.346\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Start-up procedures to register a business (number)\n", - "Statistical=0.944, p=0.097\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.948, p=0.130\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.860, p=0.001\n", - "SWE-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.930, p=0.039\n", - "SWE-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.930, p=0.039\n", - "SWE-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.863, p=0.001\n", - "SWE-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.823, p=0.000\n", - "SWE-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.870, p=0.001\n", - "SWE-Surface area (sq. km)\n", - "Statistical=0.779, p=0.000\n", - "SWE-Tax payments (number)\n", - "Statistical=0.787, p=0.000\n", - "SWE-Tax revenue (% of GDP)\n", - "Statistical=0.986, p=0.943\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Taxes less subsidies on products (current US$)\n", - "Statistical=0.917, p=0.017\n", - "SWE-Taxes on goods and services (% of revenue)\n", - "Statistical=0.917, p=0.017\n", - "SWE-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.877, p=0.002\n", - "SWE-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.909, p=0.011\n", - "SWE-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.986, p=0.944\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Time required to build a warehouse (days)\n", - "Statistical=0.917, p=0.017\n", - "SWE-Time required to enforce a contract (days)\n", - "Statistical=0.907, p=0.009\n", - "SWE-Time required to get electricity (days)\n", - "Statistical=0.966, p=0.389\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Time required to register property (days)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Time required to start a business (days)\n", - "Statistical=0.427, p=0.000\n", - "SWE-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.383, p=0.000\n", - "SWE-Time to obtain an electrical connection (days)\n", - "Statistical=0.450, p=0.000\n", - "SWE-Time to prepare and pay taxes (hours)\n", - "Statistical=0.359, p=0.000\n", - "SWE-Time to resolve insolvency (years)\n", - "Statistical=0.411, p=0.000\n", - "SWE-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.430, p=0.000\n", - "SWE-Total fisheries production (metric tons)\n", - "Statistical=0.413, p=0.000\n", - "SWE-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.660, p=0.000\n", - "SWE-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.351, p=0.000\n", - "SWE-Total natural resources rents (% of GDP)\n", - "Statistical=0.792, p=0.000\n", - "SWE-Total reserves (includes gold, current US$)\n", - "Statistical=0.857, p=0.001\n", - "SWE-Total reserves in months of imports\n", - "Statistical=0.914, p=0.014\n", - "SWE-Total reserves minus gold (current US$)\n", - "Statistical=0.836, p=0.000\n", - "SWE-Total tax and contribution rate (% of profit)\n", - "Statistical=0.773, p=0.000\n", - "SWE-Trade (% of GDP)\n", - "Statistical=0.571, p=0.000\n", - "SWE-Trade in services (% of GDP)\n", - "Statistical=0.876, p=0.002\n", - "SWE-Transport services (% of commercial service exports)\n", - "Statistical=0.835, p=0.000\n", - "SWE-Transport services (% of commercial service imports)\n", - "Statistical=0.824, p=0.000\n", - "SWE-Transport services (% of service exports, BoP)\n", - "Statistical=0.868, p=0.001\n", - "SWE-Transport services (% of service imports, BoP)\n", - "Statistical=0.909, p=0.010\n", - "SWE-Travel services (% of commercial service exports)\n", - "Statistical=0.854, p=0.000\n", - "SWE-Travel services (% of commercial service imports)\n", - "Statistical=0.967, p=0.410\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Travel services (% of service exports, BoP)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Travel services (% of service imports, BoP)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.859, p=0.001\n", - "SWE-UHC service coverage index\n", - "Statistical=0.849, p=0.000\n", - "SWE-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.900, p=0.006\n", - "SWE-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.944, p=0.097\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Urban land area (sq. km)\n", - "Statistical=0.928, p=0.035\n", - "SWE-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.851, p=0.000\n", - "SWE-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.904, p=0.008\n", - "SWE-Urban population\n", - "Statistical=0.928, p=0.035\n", - "SWE-Urban population (% of total population)\n", - "Statistical=0.932, p=0.043\n", - "SWE-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=0.765, p=0.000\n", - "SWE-GDP (current US$)+2\n", - "Statistical=0.629, p=0.000\n", - "SWE-GDP (current US$)+3\n", - "Statistical=0.689, p=0.000\n", - "SWE-GDP (current US$)+5\n", - "Statistical=0.920, p=0.021\n", - "SWE-GDP (current US$)+8\n", - "Statistical=0.959, p=0.264\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-GDP (current US$)+13\n", - "Statistical=0.870, p=0.001\n", - "SWE-GDP (current US$)+21\n", - "Statistical=0.870, p=0.001\n", - "SWE-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.952, p=0.159\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Deposit interest rate (%)\n", - "Statistical=0.898, p=0.006\n", - "SWE-Other taxes (% of revenue)\n", - "Statistical=0.860, p=0.001\n", - "SWE-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.950, p=0.148\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Taxes on international trade (% of revenue)\n", - "Statistical=0.950, p=0.148\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.953, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Broad money (% of GDP)\n", - "Statistical=0.926, p=0.030\n", - "SWE-Broad money growth (annual %)\n", - "Statistical=0.959, p=0.262\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Broad money to total reserves ratio\n", - "Statistical=0.925, p=0.029\n", - "SWE-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.959, p=0.255\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.967, p=0.422\n", - "Data is NORMAL ( H0 not denied )\n", - "SWE-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.892, p=0.004\n", - "SWE-External health expenditure (% of current health expenditure)\n", - "Statistical=0.919, p=0.019\n", - "SWE-External health expenditure per capita (current US$)\n", - "Statistical=0.532, p=0.000\n", - "SWE-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.892, p=0.004\n", - "SWE-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.885, p=0.003\n", - "SWE-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.886, p=0.003\n", - "SWE-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.806, p=0.000\n", - "SWE-People practicing open defecation (% of population)\n", - "Statistical=0.842, p=0.000\n", - "SWE-Taxes on exports (% of tax revenue)\n", - "Statistical=0.887, p=0.003\n", - "SWE-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.847, p=0.000\n", - "SWE-Country\n", - "Statistical=0.921, p=0.022\n", - "SWE-Year\n", - "Statistical=0.796, p=0.000\n", - "SWE-Continent\n", - "Statistical=0.810, p=0.000\n", - "GBR-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.718, p=0.000\n", - "GBR-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.673, p=0.000\n", - "GBR-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.463, p=0.000\n", - "GBR-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.639, p=0.000\n", - "GBR-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.678, p=0.000\n", - "GBR-Age dependency ratio (% of working-age population)\n", - "Statistical=0.479, p=0.000\n", - "GBR-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.459, p=0.000\n", - "GBR-Agricultural land (% of land area)\n", - "Statistical=0.628, p=0.000\n", - "GBR-Agricultural land (sq. km)\n", - "Statistical=0.532, p=0.000\n", - "GBR-Agricultural methane emissions (% of total)\n", - "Statistical=0.838, p=0.000\n", - "GBR-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.902, p=0.007\n", - "GBR-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.890, p=0.003\n", - "GBR-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.952, p=0.166\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.917, p=0.018\n", - "GBR-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.874, p=0.001\n", - "GBR-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.951, p=0.155\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Aquaculture production (metric tons)\n", - "Statistical=0.867, p=0.001\n", - "GBR-Arable land (% of land area)\n", - "Statistical=0.896, p=0.005\n", - "GBR-Arable land (hectares per person)\n", - "Statistical=0.950, p=0.144\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Arable land (hectares)\n", - "Statistical=0.975, p=0.654\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Armed forces personnel (% of total labor force)\n", - "Statistical=0.953, p=0.177\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.975, p=0.651\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.957, p=0.226\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.863, p=0.001\n", - "GBR-Average precipitation in depth (mm per year)\n", - "Statistical=0.901, p=0.006\n", - "GBR-Average time to clear exports through customs (days)\n", - "Statistical=0.845, p=0.000\n", - "GBR-Births attended by skilled health staff (% of total)\n", - "Statistical=0.893, p=0.004\n", - "GBR-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.867, p=0.001\n", - "GBR-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.986, p=0.936\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.953, p=0.175\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.955, p=0.201\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-CO2 emissions (kt)\n", - "Statistical=0.736, p=0.000\n", - "GBR-CO2 emissions (metric tons per capita)\n", - "Statistical=0.646, p=0.000\n", - "GBR-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.989, p=0.984\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.933, p=0.047\n", - "GBR-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.879, p=0.002\n", - "GBR-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.962, p=0.312\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.875, p=0.002\n", - "GBR-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.868, p=0.001\n", - "GBR-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.789, p=0.000\n", - "GBR-Capture fisheries production (metric tons)\n", - "Statistical=0.734, p=0.000\n", - "GBR-Cereal production (metric tons)\n", - "Statistical=0.951, p=0.154\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Cereal yield (kg per hectare)\n", - "Statistical=0.734, p=0.000\n", - "GBR-Changes in inventories (current US$)\n", - "Statistical=0.892, p=0.004\n", - "GBR-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.740, p=0.000\n", - "GBR-Children out of school (% of primary school age)\n", - "Statistical=0.921, p=0.022\n", - "GBR-Coal rents (% of GDP)\n", - "Statistical=0.921, p=0.022\n", - "GBR-Combustible renewables and waste (% of total energy)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Commercial bank branches (per 100,000 adults)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Commercial service exports (current US$)\n", - "Statistical=0.793, p=0.000\n", - "GBR-Commercial service imports (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Completeness of birth registration (%)\n", - "Statistical=0.716, p=0.000\n", - "GBR-Consumer price index (2010 = 100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.965, p=0.370\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Crop production index (2014-2016 = 100)\n", - "Statistical=0.872, p=0.001\n", - "GBR-Current account balance (% of GDP)\n", - "Statistical=0.836, p=0.000\n", - "GBR-Current account balance (BoP, current US$)\n", - "Statistical=0.930, p=0.040\n", - "GBR-Current health expenditure (% of GDP)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Current health expenditure per capita (current US$)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.966, p=0.402\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.987, p=0.952\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.899, p=0.006\n", - "GBR-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.950, p=0.142\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.962, p=0.304\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.932, p=0.046\n", - "GBR-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.932, p=0.045\n", - "GBR-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.902, p=0.007\n", - "GBR-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.858, p=0.001\n", - "GBR-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.650, p=0.000\n", - "GBR-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.766, p=0.000\n", - "GBR-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.766, p=0.000\n", - "GBR-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.847, p=0.000\n", - "GBR-Electric power consumption (kWh per capita)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Electricity production from coal sources (% of total)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.897, p=0.005\n", - "GBR-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.876, p=0.002\n", - "GBR-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.967, p=0.431\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Electricity production from oil sources (% of total)\n", - "Statistical=0.975, p=0.640\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.878, p=0.002\n", - "GBR-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Energy related methane emissions (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Energy use (kg of oil equivalent per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.977, p=0.713\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Export unit value index (2000 = 100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Export value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Export volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Exports of goods and services (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.916, p=0.017\n", - "GBR-Exports of goods and services (current US$)\n", - "Statistical=0.904, p=0.008\n", - "GBR-External balance on goods and services (% of GDP)\n", - "Statistical=0.976, p=0.689\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-External balance on goods and services (current US$)\n", - "Statistical=0.956, p=0.209\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.946, p=0.112\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Final consumption expenditure (% of GDP)\n", - "Statistical=0.949, p=0.137\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Final consumption expenditure (current US$)\n", - "Statistical=0.925, p=0.028\n", - "GBR-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.823, p=0.000\n", - "GBR-Firms offering formal training (% of firms)\n", - "Statistical=0.848, p=0.000\n", - "GBR-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.872, p=0.001\n", - "GBR-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.900, p=0.006\n", - "GBR-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.929, p=0.037\n", - "GBR-Fixed broadband subscriptions\n", - "Statistical=0.868, p=0.001\n", - "GBR-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.925, p=0.029\n", - "GBR-Fixed telephone subscriptions\n", - "Statistical=0.907, p=0.010\n", - "GBR-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.795, p=0.000\n", - "GBR-Food exports (% of merchandise exports)\n", - "Statistical=0.964, p=0.354\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Food imports (% of merchandise imports)\n", - "Statistical=0.880, p=0.002\n", - "GBR-Food production index (2014-2016 = 100)\n", - "Statistical=0.856, p=0.001\n", - "GBR-Forest area (% of land area)\n", - "Statistical=0.924, p=0.027\n", - "GBR-Forest area (sq. km)\n", - "Statistical=0.892, p=0.004\n", - "GBR-Forest rents (% of GDP)\n", - "Statistical=0.931, p=0.042\n", - "GBR-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.644, p=0.000\n", - "GBR-Fuel exports (% of merchandise exports)\n", - "Statistical=0.838, p=0.000\n", - "GBR-Fuel imports (% of merchandise imports)\n", - "Statistical=0.654, p=0.000\n", - "GBR-GDP (current US$)\n", - "Statistical=0.967, p=0.419\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-GDP deflator (base year varies by country)\n", - "Statistical=0.982, p=0.864\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.965, p=0.371\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-GDP growth (annual %)\n", - "Statistical=0.956, p=0.218\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-GDP per capita (current US$)\n", - "Statistical=0.960, p=0.280\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-GDP per capita growth (annual %)\n", - "Statistical=0.913, p=0.013\n", - "GBR-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.983, p=0.872\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.888, p=0.003\n", - "GBR-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-GNI (current US$)\n", - "Statistical=0.893, p=0.004\n", - "GBR-GNI growth (annual %)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-GNI per capita growth (annual %)\n", - "Statistical=0.950, p=0.147\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.953, p=0.170\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-General government final consumption expenditure (current US$)\n", - "Statistical=0.802, p=0.000\n", - "GBR-Gini index\n", - "Statistical=0.960, p=0.274\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Goods exports (BoP, current US$)\n", - "Statistical=0.794, p=0.000\n", - "GBR-Goods imports (BoP, current US$)\n", - "Statistical=0.761, p=0.000\n", - "GBR-Grants and other revenue (% of revenue)\n", - "Statistical=0.751, p=0.000\n", - "GBR-Gross capital formation (% of GDP)\n", - "Statistical=0.880, p=0.002\n", - "GBR-Gross capital formation (current US$)\n", - "Statistical=0.907, p=0.009\n", - "GBR-Gross domestic savings (% of GDP)\n", - "Statistical=0.952, p=0.160\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Gross domestic savings (current US$)\n", - "Statistical=0.889, p=0.003\n", - "GBR-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Gross savings (% of GDP)\n", - "Statistical=0.930, p=0.038\n", - "GBR-Gross savings (current US$)\n", - "Statistical=0.956, p=0.210\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.860, p=0.001\n", - "GBR-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.779, p=0.000\n", - "GBR-High-technology exports (% of manufactured exports)\n", - "Statistical=0.889, p=0.003\n", - "GBR-High-technology exports (current US$)\n", - "Statistical=0.764, p=0.000\n", - "GBR-Hospital beds (per 1,000 people)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.864, p=0.001\n", - "GBR-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.761, p=0.000\n", - "GBR-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.761, p=0.000\n", - "GBR-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.761, p=0.000\n", - "GBR-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.950, p=0.146\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.973, p=0.575\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.868, p=0.001\n", - "GBR-ICT goods exports (% of total goods exports)\n", - "Statistical=0.901, p=0.006\n", - "GBR-ICT goods imports (% total goods imports)\n", - "Statistical=0.917, p=0.017\n", - "GBR-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.801, p=0.000\n", - "GBR-ICT service exports (BoP, current US$)\n", - "Statistical=0.792, p=0.000\n", - "GBR-Import unit value index (2000 = 100)\n", - "Statistical=0.863, p=0.001\n", - "GBR-Import value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Import volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Imports of goods and services (% of GDP)\n", - "Statistical=0.953, p=0.175\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.908, p=0.010\n", - "GBR-Imports of goods and services (current US$)\n", - "Statistical=0.458, p=0.000\n", - "GBR-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "GBR-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Income share held by lowest 10%\n", - "Statistical=0.917, p=0.017\n", - "GBR-Income share held by lowest 20%\n", - "Statistical=0.915, p=0.016\n", - "GBR-Income share held by second 20%\n", - "Statistical=0.792, p=0.000\n", - "GBR-Income share held by third 20%\n", - "Statistical=0.866, p=0.001\n", - "GBR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.860, p=0.001\n", - "GBR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.787, p=0.000\n", - "GBR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.861, p=0.001\n", - "GBR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.866, p=0.001\n", - "GBR-Individuals using the Internet (% of population)\n", - "Statistical=0.842, p=0.000\n", - "GBR-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.826, p=0.000\n", - "GBR-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.500, p=0.000\n", - "GBR-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.693, p=0.000\n", - "GBR-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.812, p=0.000\n", - "GBR-Intentional homicides (per 100,000 people)\n", - "Statistical=0.699, p=0.000\n", - "GBR-Interest payments (% of revenue)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-International migrant stock (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.672, p=0.000\n", - "GBR-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.682, p=0.000\n", - "GBR-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.677, p=0.000\n", - "GBR-Land area (sq. km)\n", - "Statistical=0.752, p=0.000\n", - "GBR-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.687, p=0.000\n", - "GBR-Land under cereal production (hectares)\n", - "Statistical=0.734, p=0.000\n", - "GBR-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.887, p=0.003\n", - "GBR-Lifetime risk of maternal death (%)\n", - "Statistical=0.855, p=0.001\n", - "GBR-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.894, p=0.004\n", - "GBR-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.923, p=0.025\n", - "GBR-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.890, p=0.003\n", - "GBR-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "GBR-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.755, p=0.000\n", - "GBR-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.907, p=0.010\n", - "GBR-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.797, p=0.000\n", - "GBR-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.807, p=0.000\n", - "GBR-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.970, p=0.495\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Low-birthweight babies (% of births)\n", - "Statistical=0.968, p=0.440\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Lower secondary school starting age (years)\n", - "Statistical=0.841, p=0.000\n", - "GBR-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.801, p=0.000\n", - "GBR-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.876, p=0.002\n", - "GBR-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.889, p=0.003\n", - "GBR-Marine protected areas (% of territorial waters)\n", - "Statistical=0.847, p=0.000\n", - "GBR-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.901, p=0.006\n", - "GBR-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.888, p=0.003\n", - "GBR-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.843, p=0.000\n", - "GBR-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.902, p=0.007\n", - "GBR-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.944, p=0.098\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Merchandise exports (current US$)\n", - "Statistical=0.923, p=0.025\n", - "GBR-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.902, p=0.007\n", - "GBR-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.977, p=0.699\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.970, p=0.511\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.950, p=0.142\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.926, p=0.030\n", - "GBR-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.954, p=0.190\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.886, p=0.003\n", - "GBR-Merchandise imports (current US$)\n", - "Statistical=0.847, p=0.000\n", - "GBR-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.715, p=0.000\n", - "GBR-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.808, p=0.000\n", - "GBR-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.899, p=0.006\n", - "GBR-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.890, p=0.003\n", - "GBR-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.896, p=0.005\n", - "GBR-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.827, p=0.000\n", - "GBR-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.947, p=0.119\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.953, p=0.180\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.877, p=0.002\n", - "GBR-Merchandise trade (% of GDP)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Methane emissions (% change from 1990)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Military expenditure (% of GDP)\n", - "Statistical=0.878, p=0.002\n", - "GBR-Military expenditure (% of general government expenditure)\n", - "Statistical=0.931, p=0.042\n", - "GBR-Military expenditure (current USD)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Mineral rents (% of GDP)\n", - "Statistical=0.975, p=0.656\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Mobile cellular subscriptions\n", - "Statistical=0.865, p=0.001\n", - "GBR-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.926, p=0.029\n", - "GBR-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.687, p=0.000\n", - "GBR-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.848, p=0.000\n", - "GBR-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.787, p=0.000\n", - "GBR-Natural gas rents (% of GDP)\n", - "Statistical=0.968, p=0.442\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.934, p=0.050\n", - "GBR-Net capital account (BoP, current US$)\n", - "Statistical=0.900, p=0.006\n", - "GBR-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.986, p=0.948\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Net financial account (BoP, current US$)\n", - "Statistical=0.964, p=0.350\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Net migration\n", - "Statistical=0.926, p=0.031\n", - "GBR-Net primary income (BoP, current US$)\n", - "Statistical=0.926, p=0.031\n", - "GBR-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.941, p=0.081\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Net secondary income (BoP, current US$)\n", - "Statistical=0.865, p=0.001\n", - "GBR-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Net trade in goods (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Net trade in goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-New businesses registered (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.807, p=0.000\n", - "GBR-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.795, p=0.000\n", - "GBR-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.865, p=0.001\n", - "GBR-Number of deaths ages 10-14 years\n", - "Statistical=0.956, p=0.214\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Number of deaths ages 15-19 years\n", - "Statistical=0.975, p=0.635\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Number of deaths ages 20-24 years\n", - "Statistical=0.981, p=0.818\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Number of deaths ages 5-9 years\n", - "Statistical=0.965, p=0.383\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Number of infant deaths\n", - "Statistical=0.905, p=0.008\n", - "GBR-Number of maternal deaths\n", - "Statistical=0.970, p=0.496\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Number of neonatal deaths\n", - "Statistical=0.881, p=0.002\n", - "GBR-Number of under-five deaths\n", - "Statistical=0.904, p=0.008\n", - "GBR-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.966, p=0.399\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.964, p=0.347\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Oil rents (% of GDP)\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.973, p=0.584\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.894, p=0.004\n", - "GBR-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.955, p=0.195\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.947, p=0.118\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-People using at least basic drinking water services (% of population)\n", - "Statistical=0.877, p=0.002\n", - "GBR-People using at least basic sanitation services (% of population)\n", - "Statistical=0.964, p=0.361\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-People using safely managed sanitation services (% of population)\n", - "Statistical=0.964, p=0.361\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Permanent cropland (% of land area)\n", - "Statistical=0.969, p=0.461\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Physicians (per 1,000 people)\n", - "Statistical=0.903, p=0.007\n", - "GBR-Population ages 0-14 (% of total population)\n", - "Statistical=0.903, p=0.007\n", - "GBR-Population ages 15-64 (% of total population)\n", - "Statistical=0.947, p=0.118\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Population ages 65 and above (% of total population)\n", - "Statistical=0.899, p=0.006\n", - "GBR-Population density (people per sq. km of land area)\n", - "Statistical=0.988, p=0.970\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Population growth (annual %)\n", - "Statistical=0.903, p=0.007\n", - "GBR-Population in largest city\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Population in the largest city (% of urban population)\n", - "Statistical=0.892, p=0.004\n", - "GBR-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.882, p=0.002\n", - "GBR-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.890, p=0.003\n", - "GBR-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.947, p=0.118\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=0.799, p=0.000\n", - "GBR-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.933, p=0.046\n", - "GBR-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.933, p=0.046\n", - "GBR-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.871, p=0.001\n", - "GBR-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.969, p=0.465\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.885, p=0.003\n", - "GBR-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.885, p=0.003\n", - "GBR-Prevalence of undernourishment (% of population)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.954, p=0.183\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Primary income payments (BoP, current US$)\n", - "Statistical=0.876, p=0.002\n", - "GBR-Primary income receipts (BoP, current US$)\n", - "Statistical=0.885, p=0.003\n", - "GBR-Primary school starting age (years)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Private credit bureau coverage (% of adults)\n", - "Statistical=0.844, p=0.000\n", - "GBR-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.933, p=0.046\n", - "GBR-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.962, p=0.305\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Procedures to build a warehouse (number)\n", - "Statistical=0.914, p=0.014\n", - "GBR-Procedures to register property (number)\n", - "Statistical=0.871, p=0.001\n", - "GBR-Profit tax (% of commercial profits)\n", - "Statistical=0.871, p=0.001\n", - "GBR-Progression to secondary school (%)\n", - "Statistical=0.924, p=0.026\n", - "GBR-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.840, p=0.000\n", - "GBR-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.976, p=0.668\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.898, p=0.006\n", - "GBR-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.877, p=0.002\n", - "GBR-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Public credit registry coverage (% of adults)\n", - "Statistical=0.789, p=0.000\n", - "GBR-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.826, p=0.000\n", - "GBR-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.914, p=0.014\n", - "GBR-Rail lines (total route-km)\n", - "Statistical=0.960, p=0.266\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.840, p=0.000\n", - "GBR-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Refugee population by country or territory of asylum\n", - "Statistical=0.977, p=0.719\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Refugee population by country or territory of origin\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.953, p=0.170\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.953, p=0.170\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.947, p=0.118\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Research and development expenditure (% of GDP)\n", - "Statistical=0.930, p=0.040\n", - "GBR-Researchers in R&D (per million people)\n", - "Statistical=0.941, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Reserves and related items (BoP, current US$)\n", - "Statistical=0.986, p=0.948\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.947, p=0.119\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Rural land area (sq. km)\n", - "Statistical=0.918, p=0.018\n", - "GBR-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.964, p=0.346\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.976, p=0.685\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Rural population\n", - "Statistical=0.962, p=0.311\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Rural population (% of total population)\n", - "Statistical=0.962, p=0.311\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Rural population growth (annual %)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.917, p=0.017\n", - "GBR-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.555, p=0.000\n", - "GBR-Scientific and technical journal articles\n", - "Statistical=0.490, p=0.000\n", - "GBR-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.339, p=0.000\n", - "GBR-Secure Internet servers\n", - "Statistical=0.899, p=0.006\n", - "GBR-Secure Internet servers (per 1 million people)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Service exports (BoP, current US$)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Service imports (BoP, current US$)\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Sex ratio at birth (male births per female births)\n", - "Statistical=0.875, p=0.001\n", - "GBR-Social contributions (% of revenue)\n", - "Statistical=0.954, p=0.183\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Start-up procedures to register a business (number)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.961, p=0.289\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.945, p=0.105\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.928, p=0.035\n", - "GBR-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.928, p=0.035\n", - "GBR-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.947, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.878, p=0.002\n", - "GBR-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.841, p=0.000\n", - "GBR-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.745, p=0.000\n", - "GBR-Surface area (sq. km)\n", - "Statistical=0.805, p=0.000\n", - "GBR-Tax payments (number)\n", - "Statistical=0.926, p=0.031\n", - "GBR-Tax revenue (% of GDP)\n", - "Statistical=0.973, p=0.600\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Taxes less subsidies on products (current US$)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Taxes on goods and services (% of revenue)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.953, p=0.177\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.884, p=0.003\n", - "GBR-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.877, p=0.002\n", - "GBR-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.979, p=0.774\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Time required to build a warehouse (days)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Time required to enforce a contract (days)\n", - "Statistical=0.947, p=0.119\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Time required to get electricity (days)\n", - "Statistical=0.915, p=0.015\n", - "GBR-Time required to register property (days)\n", - "Statistical=0.953, p=0.177\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Time required to start a business (days)\n", - "Statistical=0.663, p=0.000\n", - "GBR-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.422, p=0.000\n", - "GBR-Time to obtain an electrical connection (days)\n", - "Statistical=0.408, p=0.000\n", - "GBR-Time to prepare and pay taxes (hours)\n", - "Statistical=0.432, p=0.000\n", - "GBR-Time to resolve insolvency (years)\n", - "Statistical=0.663, p=0.000\n", - "GBR-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.664, p=0.000\n", - "GBR-Total fisheries production (metric tons)\n", - "Statistical=0.662, p=0.000\n", - "GBR-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.666, p=0.000\n", - "GBR-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.663, p=0.000\n", - "GBR-Total natural resources rents (% of GDP)\n", - "Statistical=0.760, p=0.000\n", - "GBR-Total reserves (includes gold, current US$)\n", - "Statistical=0.826, p=0.000\n", - "GBR-Total reserves in months of imports\n", - "Statistical=0.956, p=0.216\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Total reserves minus gold (current US$)\n", - "Statistical=0.905, p=0.008\n", - "GBR-Total tax and contribution rate (% of profit)\n", - "Statistical=0.908, p=0.010\n", - "GBR-Trade (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Trade in services (% of GDP)\n", - "Statistical=0.885, p=0.003\n", - "GBR-Transport services (% of commercial service exports)\n", - "Statistical=0.887, p=0.003\n", - "GBR-Transport services (% of commercial service imports)\n", - "Statistical=0.835, p=0.000\n", - "GBR-Transport services (% of service exports, BoP)\n", - "Statistical=0.876, p=0.002\n", - "GBR-Transport services (% of service imports, BoP)\n", - "Statistical=0.959, p=0.266\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Travel services (% of commercial service exports)\n", - "Statistical=0.874, p=0.001\n", - "GBR-Travel services (% of commercial service imports)\n", - "Statistical=0.965, p=0.364\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Travel services (% of service exports, BoP)\n", - "Statistical=0.931, p=0.043\n", - "GBR-Travel services (% of service imports, BoP)\n", - "Statistical=0.931, p=0.043\n", - "GBR-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.876, p=0.002\n", - "GBR-UHC service coverage index\n", - "Statistical=0.923, p=0.025\n", - "GBR-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.904, p=0.008\n", - "GBR-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.972, p=0.566\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Urban land area (sq. km)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.859, p=0.001\n", - "GBR-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.933, p=0.048\n", - "GBR-Urban population\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Urban population (% of total population)\n", - "Statistical=0.970, p=0.501\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=0.812, p=0.000\n", - "GBR-GDP (current US$)+2\n", - "Statistical=0.462, p=0.000\n", - "GBR-GDP (current US$)+3\n", - "Statistical=0.509, p=0.000\n", - "GBR-GDP (current US$)+5\n", - "Statistical=0.905, p=0.008\n", - "GBR-GDP (current US$)+8\n", - "Statistical=0.967, p=0.413\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-GDP (current US$)+13\n", - "Statistical=0.932, p=0.043\n", - "GBR-GDP (current US$)+21\n", - "Statistical=0.932, p=0.043\n", - "GBR-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.965, p=0.370\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Deposit interest rate (%)\n", - "Statistical=0.952, p=0.162\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Other taxes (% of revenue)\n", - "Statistical=0.899, p=0.006\n", - "GBR-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.958, p=0.245\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Taxes on international trade (% of revenue)\n", - "Statistical=0.958, p=0.245\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.964, p=0.351\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Broad money (% of GDP)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Broad money growth (annual %)\n", - "Statistical=0.901, p=0.006\n", - "GBR-Broad money to total reserves ratio\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.900, p=0.006\n", - "GBR-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.950, p=0.144\n", - "Data is NORMAL ( H0 not denied )\n", - "GBR-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.924, p=0.028\n", - "GBR-External health expenditure (% of current health expenditure)\n", - "Statistical=0.891, p=0.004\n", - "GBR-External health expenditure per capita (current US$)\n", - "Statistical=0.480, p=0.000\n", - "GBR-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.867, p=0.001\n", - "GBR-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.867, p=0.001\n", - "GBR-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.337, p=0.000\n", - "GBR-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.556, p=0.000\n", - "GBR-People practicing open defecation (% of population)\n", - "Statistical=0.547, p=0.000\n", - "GBR-Taxes on exports (% of tax revenue)\n", - "Statistical=0.875, p=0.002\n", - "GBR-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.874, p=0.001\n", - "GBR-Country\n", - "Statistical=0.615, p=0.000\n", - "GBR-Year\n", - "Statistical=0.549, p=0.000\n", - "GBR-Continent\n", - "Statistical=0.546, p=0.000\n", - "ESP-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.544, p=0.000\n", - "ESP-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.453, p=0.000\n", - "ESP-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.634, p=0.000\n", - "ESP-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.637, p=0.000\n", - "ESP-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.624, p=0.000\n", - "ESP-Age dependency ratio (% of working-age population)\n", - "Statistical=0.625, p=0.000\n", - "ESP-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.466, p=0.000\n", - "ESP-Agricultural land (% of land area)\n", - "Statistical=0.615, p=0.000\n", - "ESP-Agricultural land (sq. km)\n", - "Statistical=0.635, p=0.000\n", - "ESP-Agricultural methane emissions (% of total)\n", - "Statistical=0.771, p=0.000\n", - "ESP-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.930, p=0.040\n", - "ESP-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.747, p=0.000\n", - "ESP-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.913, p=0.014\n", - "ESP-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.905, p=0.008\n", - "ESP-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.839, p=0.000\n", - "ESP-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Aquaculture production (metric tons)\n", - "Statistical=0.902, p=0.007\n", - "ESP-Arable land (% of land area)\n", - "Statistical=0.858, p=0.001\n", - "ESP-Arable land (hectares per person)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Arable land (hectares)\n", - "Statistical=0.919, p=0.019\n", - "ESP-Armed forces personnel (% of total labor force)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.919, p=0.019\n", - "ESP-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.928, p=0.035\n", - "ESP-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.884, p=0.002\n", - "ESP-Average precipitation in depth (mm per year)\n", - "Statistical=0.868, p=0.001\n", - "ESP-Average time to clear exports through customs (days)\n", - "Statistical=0.802, p=0.000\n", - "ESP-Births attended by skilled health staff (% of total)\n", - "Statistical=0.951, p=0.154\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.872, p=0.001\n", - "ESP-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.866, p=0.001\n", - "ESP-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.908, p=0.010\n", - "ESP-CO2 emissions (kt)\n", - "Statistical=0.928, p=0.034\n", - "ESP-CO2 emissions (metric tons per capita)\n", - "Statistical=0.867, p=0.001\n", - "ESP-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.968, p=0.442\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.931, p=0.041\n", - "ESP-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.903, p=0.008\n", - "ESP-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.931, p=0.041\n", - "ESP-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.937, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.958, p=0.237\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.876, p=0.002\n", - "ESP-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.862, p=0.001\n", - "ESP-Capture fisheries production (metric tons)\n", - "Statistical=0.834, p=0.000\n", - "ESP-Cereal production (metric tons)\n", - "Statistical=0.899, p=0.006\n", - "ESP-Cereal yield (kg per hectare)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Changes in inventories (current US$)\n", - "Statistical=0.878, p=0.002\n", - "ESP-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.896, p=0.005\n", - "ESP-Children out of school (% of primary school age)\n", - "Statistical=0.864, p=0.001\n", - "ESP-Coal rents (% of GDP)\n", - "Statistical=0.868, p=0.001\n", - "ESP-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.811, p=0.000\n", - "ESP-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.805, p=0.000\n", - "ESP-Commercial service exports (current US$)\n", - "Statistical=0.721, p=0.000\n", - "ESP-Commercial service imports (current US$)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Completeness of birth registration (%)\n", - "Statistical=0.799, p=0.000\n", - "ESP-Consumer price index (2010 = 100)\n", - "Statistical=0.965, p=0.364\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.960, p=0.269\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Crop production index (2014-2016 = 100)\n", - "Statistical=0.860, p=0.001\n", - "ESP-Current account balance (% of GDP)\n", - "Statistical=0.902, p=0.007\n", - "ESP-Current account balance (BoP, current US$)\n", - "Statistical=0.929, p=0.037\n", - "ESP-Current health expenditure (% of GDP)\n", - "Statistical=0.922, p=0.023\n", - "ESP-Current health expenditure per capita (current US$)\n", - "Statistical=0.922, p=0.023\n", - "ESP-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.887, p=0.003\n", - "ESP-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.898, p=0.006\n", - "ESP-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.894, p=0.004\n", - "ESP-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.960, p=0.275\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.923, p=0.024\n", - "ESP-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.957, p=0.220\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.913, p=0.013\n", - "ESP-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.968, p=0.446\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.950, p=0.141\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.870, p=0.001\n", - "ESP-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.870, p=0.001\n", - "ESP-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.964, p=0.347\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Electric power consumption (kWh per capita)\n", - "Statistical=0.881, p=0.002\n", - "ESP-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.872, p=0.001\n", - "ESP-Electricity production from coal sources (% of total)\n", - "Statistical=0.879, p=0.002\n", - "ESP-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.854, p=0.000\n", - "ESP-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.865, p=0.001\n", - "ESP-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.871, p=0.001\n", - "ESP-Electricity production from oil sources (% of total)\n", - "Statistical=0.938, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.769, p=0.000\n", - "ESP-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Export unit value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Export value index (2000 = 100)\n", - "Statistical=0.754, p=0.000\n", - "ESP-Export volume index (2000 = 100)\n", - "Statistical=0.773, p=0.000\n", - "ESP-Exports of goods and services (% of GDP)\n", - "Statistical=0.778, p=0.000\n", - "ESP-Exports of goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Exports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-External balance on goods and services (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-External balance on goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.565, p=0.000\n", - "ESP-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.810, p=0.000\n", - "ESP-Final consumption expenditure (% of GDP)\n", - "Statistical=0.810, p=0.000\n", - "ESP-Final consumption expenditure (current US$)\n", - "Statistical=0.889, p=0.003\n", - "ESP-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.929, p=0.036\n", - "ESP-Firms offering formal training (% of firms)\n", - "Statistical=0.858, p=0.001\n", - "ESP-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.861, p=0.001\n", - "ESP-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.899, p=0.006\n", - "ESP-Fixed broadband subscriptions\n", - "Statistical=0.959, p=0.266\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.920, p=0.021\n", - "ESP-Fixed telephone subscriptions\n", - "Statistical=0.875, p=0.002\n", - "ESP-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.898, p=0.006\n", - "ESP-Food exports (% of merchandise exports)\n", - "Statistical=0.908, p=0.010\n", - "ESP-Food imports (% of merchandise imports)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Food production index (2014-2016 = 100)\n", - "Statistical=0.862, p=0.001\n", - "ESP-Forest area (% of land area)\n", - "Statistical=0.932, p=0.044\n", - "ESP-Forest area (sq. km)\n", - "Statistical=0.862, p=0.001\n", - "ESP-Forest rents (% of GDP)\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.848, p=0.000\n", - "ESP-Fuel exports (% of merchandise exports)\n", - "Statistical=0.614, p=0.000\n", - "ESP-Fuel imports (% of merchandise imports)\n", - "Statistical=0.861, p=0.001\n", - "ESP-GDP (current US$)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-GDP deflator (base year varies by country)\n", - "Statistical=0.954, p=0.184\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-GDP growth (annual %)\n", - "Statistical=0.923, p=0.025\n", - "ESP-GDP per capita (current US$)\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-GDP per capita growth (annual %)\n", - "Statistical=0.837, p=0.000\n", - "ESP-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.929, p=0.036\n", - "ESP-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.826, p=0.000\n", - "ESP-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.615, p=0.000\n", - "ESP-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.690, p=0.000\n", - "ESP-GNI (current US$)\n", - "Statistical=0.805, p=0.000\n", - "ESP-GNI growth (annual %)\n", - "Statistical=0.617, p=0.000\n", - "ESP-GNI per capita growth (annual %)\n", - "Statistical=0.698, p=0.000\n", - "ESP-General government final consumption expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-General government final consumption expenditure (current US$)\n", - "Statistical=0.801, p=0.000\n", - "ESP-Gini index\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Goods exports (BoP, current US$)\n", - "Statistical=0.854, p=0.001\n", - "ESP-Goods imports (BoP, current US$)\n", - "Statistical=0.886, p=0.003\n", - "ESP-Grants and other revenue (% of revenue)\n", - "Statistical=0.740, p=0.000\n", - "ESP-Gross capital formation (% of GDP)\n", - "Statistical=0.913, p=0.014\n", - "ESP-Gross capital formation (current US$)\n", - "Statistical=0.908, p=0.010\n", - "ESP-Gross domestic savings (% of GDP)\n", - "Statistical=0.926, p=0.031\n", - "ESP-Gross domestic savings (current US$)\n", - "Statistical=0.915, p=0.015\n", - "ESP-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.912, p=0.012\n", - "ESP-Gross savings (% of GDP)\n", - "Statistical=0.835, p=0.000\n", - "ESP-Gross savings (current US$)\n", - "Statistical=0.922, p=0.023\n", - "ESP-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.832, p=0.000\n", - "ESP-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.825, p=0.000\n", - "ESP-High-technology exports (% of manufactured exports)\n", - "Statistical=0.853, p=0.000\n", - "ESP-High-technology exports (current US$)\n", - "Statistical=0.833, p=0.000\n", - "ESP-Hospital beds (per 1,000 people)\n", - "Statistical=0.854, p=0.001\n", - "ESP-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.852, p=0.000\n", - "ESP-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.668, p=0.000\n", - "ESP-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.668, p=0.000\n", - "ESP-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.668, p=0.000\n", - "ESP-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.962, p=0.319\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.943, p=0.093\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.959, p=0.262\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.881, p=0.002\n", - "ESP-ICT goods exports (% of total goods exports)\n", - "Statistical=0.893, p=0.004\n", - "ESP-ICT goods imports (% total goods imports)\n", - "Statistical=0.849, p=0.000\n", - "ESP-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.765, p=0.000\n", - "ESP-ICT service exports (BoP, current US$)\n", - "Statistical=0.798, p=0.000\n", - "ESP-Import unit value index (2000 = 100)\n", - "Statistical=0.854, p=0.001\n", - "ESP-Import value index (2000 = 100)\n", - "Statistical=0.345, p=0.000\n", - "ESP-Import volume index (2000 = 100)\n", - "Statistical=0.354, p=0.000\n", - "ESP-Imports of goods and services (% of GDP)\n", - "Statistical=0.952, p=0.164\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.954, p=0.192\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Imports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "ESP-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Income share held by lowest 10%\n", - "Statistical=0.770, p=0.000\n", - "ESP-Income share held by lowest 20%\n", - "Statistical=0.769, p=0.000\n", - "ESP-Income share held by second 20%\n", - "Statistical=0.816, p=0.000\n", - "ESP-Income share held by third 20%\n", - "Statistical=0.885, p=0.003\n", - "ESP-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.825, p=0.000\n", - "ESP-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.810, p=0.000\n", - "ESP-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.850, p=0.000\n", - "ESP-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.885, p=0.003\n", - "ESP-Individuals using the Internet (% of population)\n", - "Statistical=0.785, p=0.000\n", - "ESP-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.857, p=0.001\n", - "ESP-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.401, p=0.000\n", - "ESP-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.804, p=0.000\n", - "ESP-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.807, p=0.000\n", - "ESP-Intentional homicides (per 100,000 people)\n", - "Statistical=0.806, p=0.000\n", - "ESP-Interest payments (% of revenue)\n", - "Statistical=0.763, p=0.000\n", - "ESP-International migrant stock (% of population)\n", - "Statistical=0.773, p=0.000\n", - "ESP-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.766, p=0.000\n", - "ESP-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.799, p=0.000\n", - "ESP-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.810, p=0.000\n", - "ESP-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.804, p=0.000\n", - "ESP-Land area (sq. km)\n", - "Statistical=0.819, p=0.000\n", - "ESP-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.826, p=0.000\n", - "ESP-Land under cereal production (hectares)\n", - "Statistical=0.822, p=0.000\n", - "ESP-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.855, p=0.001\n", - "ESP-Lifetime risk of maternal death (%)\n", - "Statistical=0.849, p=0.000\n", - "ESP-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.922, p=0.024\n", - "ESP-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.943, p=0.091\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=0.831, p=0.000\n", - "ESP-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.886, p=0.003\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ESP-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.825, p=0.000\n", - "ESP-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.817, p=0.000\n", - "ESP-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.841, p=0.000\n", - "ESP-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.971, p=0.529\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Low-birthweight babies (% of births)\n", - "Statistical=0.965, p=0.373\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Lower secondary school starting age (years)\n", - "Statistical=0.815, p=0.000\n", - "ESP-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.834, p=0.000\n", - "ESP-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.827, p=0.000\n", - "ESP-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.798, p=0.000\n", - "ESP-Marine protected areas (% of territorial waters)\n", - "Statistical=0.893, p=0.004\n", - "ESP-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.804, p=0.000\n", - "ESP-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.861, p=0.001\n", - "ESP-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.890, p=0.003\n", - "ESP-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.792, p=0.000\n", - "ESP-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.838, p=0.000\n", - "ESP-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.837, p=0.000\n", - "ESP-Merchandise exports (current US$)\n", - "Statistical=0.951, p=0.157\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.950, p=0.147\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.953, p=0.171\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.954, p=0.183\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.925, p=0.029\n", - "ESP-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.928, p=0.034\n", - "ESP-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.920, p=0.021\n", - "ESP-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.920, p=0.021\n", - "ESP-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.960, p=0.273\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Merchandise imports (current US$)\n", - "Statistical=0.803, p=0.000\n", - "ESP-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.723, p=0.000\n", - "ESP-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.901, p=0.007\n", - "ESP-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.805, p=0.000\n", - "ESP-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.862, p=0.001\n", - "ESP-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.817, p=0.000\n", - "ESP-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.843, p=0.000\n", - "ESP-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.841, p=0.000\n", - "ESP-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.948, p=0.125\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.897, p=0.005\n", - "ESP-Merchandise trade (% of GDP)\n", - "Statistical=0.968, p=0.434\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Methane emissions (% change from 1990)\n", - "Statistical=0.959, p=0.259\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.959, p=0.259\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.955, p=0.204\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Military expenditure (% of GDP)\n", - "Statistical=0.897, p=0.005\n", - "ESP-Military expenditure (% of general government expenditure)\n", - "Statistical=0.883, p=0.002\n", - "ESP-Military expenditure (current USD)\n", - "Statistical=0.953, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Mineral rents (% of GDP)\n", - "Statistical=0.950, p=0.140\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Mobile cellular subscriptions\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.945, p=0.101\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Natural gas rents (% of GDP)\n", - "Statistical=0.963, p=0.341\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.981, p=0.823\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Net capital account (BoP, current US$)\n", - "Statistical=0.948, p=0.130\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.968, p=0.452\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Net financial account (BoP, current US$)\n", - "Statistical=0.908, p=0.010\n", - "ESP-Net migration\n", - "Statistical=0.864, p=0.001\n", - "ESP-Net primary income (BoP, current US$)\n", - "Statistical=0.864, p=0.001\n", - "ESP-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.878, p=0.002\n", - "ESP-Net secondary income (BoP, current US$)\n", - "Statistical=0.846, p=0.000\n", - "ESP-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Net trade in goods (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Net trade in goods and services (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-New businesses registered (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.830, p=0.000\n", - "ESP-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.833, p=0.000\n", - "ESP-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.868, p=0.001\n", - "ESP-Number of deaths ages 10-14 years\n", - "Statistical=0.892, p=0.004\n", - "ESP-Number of deaths ages 15-19 years\n", - "Statistical=0.979, p=0.782\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Number of deaths ages 20-24 years\n", - "Statistical=0.970, p=0.510\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Number of deaths ages 5-9 years\n", - "Statistical=0.946, p=0.111\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Number of infant deaths\n", - "Statistical=0.896, p=0.005\n", - "ESP-Number of maternal deaths\n", - "Statistical=0.989, p=0.985\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Number of neonatal deaths\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Number of under-five deaths\n", - "Statistical=0.951, p=0.152\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.921, p=0.022\n", - "ESP-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Oil rents (% of GDP)\n", - "Statistical=0.815, p=0.000\n", - "ESP-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.817, p=0.000\n", - "ESP-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.899, p=0.006\n", - "ESP-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.953, p=0.175\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.929, p=0.038\n", - "ESP-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.887, p=0.003\n", - "ESP-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.887, p=0.003\n", - "ESP-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.884, p=0.003\n", - "ESP-People using at least basic drinking water services (% of population)\n", - "Statistical=0.851, p=0.000\n", - "ESP-People using at least basic sanitation services (% of population)\n", - "Statistical=0.875, p=0.001\n", - "ESP-People using safely managed sanitation services (% of population)\n", - "Statistical=0.875, p=0.001\n", - "ESP-Permanent cropland (% of land area)\n", - "Statistical=0.926, p=0.030\n", - "ESP-Physicians (per 1,000 people)\n", - "Statistical=0.888, p=0.003\n", - "ESP-Population ages 0-14 (% of total population)\n", - "Statistical=0.888, p=0.003\n", - "ESP-Population ages 15-64 (% of total population)\n", - "Statistical=0.886, p=0.003\n", - "ESP-Population ages 65 and above (% of total population)\n", - "Statistical=0.870, p=0.001\n", - "ESP-Population density (people per sq. km of land area)\n", - "Statistical=0.962, p=0.306\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Population growth (annual %)\n", - "Statistical=0.888, p=0.003\n", - "ESP-Population in largest city\n", - "Statistical=0.928, p=0.035\n", - "ESP-Population in the largest city (% of urban population)\n", - "Statistical=0.924, p=0.027\n", - "ESP-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.847, p=0.000\n", - "ESP-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.796, p=0.000\n", - "ESP-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.887, p=0.003\n", - "ESP-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.916, p=0.016\n", - "ESP-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.884, p=0.003\n", - "ESP-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=0.835, p=0.000\n", - "ESP-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.893, p=0.004\n", - "ESP-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.893, p=0.004\n", - "ESP-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.892, p=0.004\n", - "ESP-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.841, p=0.000\n", - "ESP-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.931, p=0.042\n", - "ESP-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.890, p=0.003\n", - "ESP-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.890, p=0.003\n", - "ESP-Prevalence of undernourishment (% of population)\n", - "Statistical=0.893, p=0.004\n", - "ESP-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.963, p=0.332\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Primary income payments (BoP, current US$)\n", - "Statistical=0.833, p=0.000\n", - "ESP-Primary income receipts (BoP, current US$)\n", - "Statistical=0.890, p=0.003\n", - "ESP-Primary school starting age (years)\n", - "Statistical=0.932, p=0.045\n", - "ESP-Private credit bureau coverage (% of adults)\n", - "Statistical=0.822, p=0.000\n", - "ESP-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.893, p=0.004\n", - "ESP-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.920, p=0.021\n", - "ESP-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.892, p=0.004\n", - "ESP-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.917, p=0.017\n", - "ESP-Procedures to build a warehouse (number)\n", - "Statistical=0.967, p=0.414\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Procedures to register property (number)\n", - "Statistical=0.874, p=0.001\n", - "ESP-Profit tax (% of commercial profits)\n", - "Statistical=0.874, p=0.001\n", - "ESP-Progression to secondary school (%)\n", - "Statistical=0.891, p=0.004\n", - "ESP-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.844, p=0.000\n", - "ESP-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.962, p=0.319\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.888, p=0.003\n", - "ESP-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.891, p=0.004\n", - "ESP-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.910, p=0.011\n", - "ESP-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.913, p=0.014\n", - "ESP-Public credit registry coverage (% of adults)\n", - "Statistical=0.737, p=0.000\n", - "ESP-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.846, p=0.000\n", - "ESP-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.855, p=0.001\n", - "ESP-Rail lines (total route-km)\n", - "Statistical=0.630, p=0.000\n", - "ESP-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.956, p=0.213\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Refugee population by country or territory of asylum\n", - "Statistical=0.956, p=0.211\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Refugee population by country or territory of origin\n", - "Statistical=0.895, p=0.005\n", - "ESP-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.965, p=0.371\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.965, p=0.371\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Research and development expenditure (% of GDP)\n", - "Statistical=0.930, p=0.040\n", - "ESP-Researchers in R&D (per million people)\n", - "Statistical=0.882, p=0.002\n", - "ESP-Reserves and related items (BoP, current US$)\n", - "Statistical=0.968, p=0.452\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.906, p=0.009\n", - "ESP-Rural land area (sq. km)\n", - "Statistical=0.889, p=0.003\n", - "ESP-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.947, p=0.120\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.890, p=0.003\n", - "ESP-Rural population\n", - "Statistical=0.962, p=0.314\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Rural population (% of total population)\n", - "Statistical=0.962, p=0.314\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Rural population growth (annual %)\n", - "Statistical=0.946, p=0.109\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.928, p=0.034\n", - "ESP-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.867, p=0.001\n", - "ESP-Scientific and technical journal articles\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.869, p=0.001\n", - "ESP-Secure Internet servers\n", - "Statistical=0.951, p=0.152\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Secure Internet servers (per 1 million people)\n", - "Statistical=0.884, p=0.003\n", - "ESP-Service exports (BoP, current US$)\n", - "Statistical=0.884, p=0.003\n", - "ESP-Service imports (BoP, current US$)\n", - "Statistical=0.873, p=0.001\n", - "ESP-Sex ratio at birth (male births per female births)\n", - "Statistical=0.872, p=0.001\n", - "ESP-Social contributions (% of revenue)\n", - "Statistical=0.879, p=0.002\n", - "ESP-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.922, p=0.024\n", - "ESP-Start-up procedures to register a business (number)\n", - "Statistical=0.929, p=0.036\n", - "ESP-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.864, p=0.001\n", - "ESP-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.894, p=0.004\n", - "ESP-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.894, p=0.004\n", - "ESP-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.895, p=0.005\n", - "ESP-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.849, p=0.000\n", - "ESP-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.804, p=0.000\n", - "ESP-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.699, p=0.000\n", - "ESP-Surface area (sq. km)\n", - "Statistical=0.706, p=0.000\n", - "ESP-Tax payments (number)\n", - "Statistical=0.827, p=0.000\n", - "ESP-Tax revenue (% of GDP)\n", - "Statistical=0.912, p=0.013\n", - "ESP-Taxes less subsidies on products (current US$)\n", - "Statistical=0.881, p=0.002\n", - "ESP-Taxes on goods and services (% of revenue)\n", - "Statistical=0.881, p=0.002\n", - "ESP-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.881, p=0.002\n", - "ESP-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.850, p=0.000\n", - "ESP-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.921, p=0.022\n", - "ESP-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.927, p=0.033\n", - "ESP-Time required to build a warehouse (days)\n", - "Statistical=0.881, p=0.002\n", - "ESP-Time required to enforce a contract (days)\n", - "Statistical=0.919, p=0.020\n", - "ESP-Time required to get electricity (days)\n", - "Statistical=0.961, p=0.286\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Time required to register property (days)\n", - "Statistical=0.881, p=0.002\n", - "ESP-Time required to start a business (days)\n", - "Statistical=0.677, p=0.000\n", - "ESP-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.680, p=0.000\n", - "ESP-Time to obtain an electrical connection (days)\n", - "Statistical=0.681, p=0.000\n", - "ESP-Time to prepare and pay taxes (hours)\n", - "Statistical=0.679, p=0.000\n", - "ESP-Time to resolve insolvency (years)\n", - "Statistical=0.675, p=0.000\n", - "ESP-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.670, p=0.000\n", - "ESP-Total fisheries production (metric tons)\n", - "Statistical=0.404, p=0.000\n", - "ESP-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.671, p=0.000\n", - "ESP-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.678, p=0.000\n", - "ESP-Total natural resources rents (% of GDP)\n", - "Statistical=0.812, p=0.000\n", - "ESP-Total reserves (includes gold, current US$)\n", - "Statistical=0.849, p=0.000\n", - "ESP-Total reserves in months of imports\n", - "Statistical=0.970, p=0.496\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Total reserves minus gold (current US$)\n", - "Statistical=0.926, p=0.031\n", - "ESP-Total tax and contribution rate (% of profit)\n", - "Statistical=0.886, p=0.003\n", - "ESP-Trade (% of GDP)\n", - "Statistical=0.759, p=0.000\n", - "ESP-Trade in services (% of GDP)\n", - "Statistical=0.833, p=0.000\n", - "ESP-Transport services (% of commercial service exports)\n", - "Statistical=0.826, p=0.000\n", - "ESP-Transport services (% of commercial service imports)\n", - "Statistical=0.854, p=0.001\n", - "ESP-Transport services (% of service exports, BoP)\n", - "Statistical=0.837, p=0.000\n", - "ESP-Transport services (% of service imports, BoP)\n", - "Statistical=0.863, p=0.001\n", - "ESP-Travel services (% of commercial service exports)\n", - "Statistical=0.889, p=0.003\n", - "ESP-Travel services (% of commercial service imports)\n", - "Statistical=0.960, p=0.270\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Travel services (% of service exports, BoP)\n", - "Statistical=0.895, p=0.005\n", - "ESP-Travel services (% of service imports, BoP)\n", - "Statistical=0.895, p=0.005\n", - "ESP-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.916, p=0.016\n", - "ESP-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.888, p=0.003\n", - "ESP-UHC service coverage index\n", - "Statistical=0.900, p=0.006\n", - "ESP-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.903, p=0.007\n", - "ESP-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.949, p=0.137\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.947, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Urban land area (sq. km)\n", - "Statistical=0.988, p=0.967\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.959, p=0.266\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.966, p=0.400\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Urban population\n", - "Statistical=0.957, p=0.227\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Urban population (% of total population)\n", - "Statistical=0.918, p=0.018\n", - "ESP-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.804, p=0.000\n", - "ESP-GDP (current US$)+1\n", - "Statistical=0.804, p=0.000\n", - "ESP-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=0.872, p=0.001\n", - "ESP-GDP (current US$)+2\n", - "Statistical=0.717, p=0.000\n", - "ESP-GDP (current US$)+3\n", - "Statistical=0.764, p=0.000\n", - "ESP-GDP (current US$)+5\n", - "Statistical=0.766, p=0.000\n", - "ESP-GDP (current US$)+8\n", - "Statistical=0.869, p=0.001\n", - "ESP-GDP (current US$)+13\n", - "Statistical=0.915, p=0.016\n", - "ESP-GDP (current US$)+21\n", - "Statistical=0.915, p=0.016\n", - "ESP-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.916, p=0.016\n", - "ESP-Deposit interest rate (%)\n", - "Statistical=0.894, p=0.004\n", - "ESP-Other taxes (% of revenue)\n", - "Statistical=0.862, p=0.001\n", - "ESP-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.931, p=0.043\n", - "ESP-Taxes on international trade (% of revenue)\n", - "Statistical=0.931, p=0.043\n", - "ESP-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.954, p=0.186\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Broad money (% of GDP)\n", - "Statistical=0.909, p=0.011\n", - "ESP-Broad money growth (annual %)\n", - "Statistical=0.970, p=0.499\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Broad money to total reserves ratio\n", - "Statistical=0.911, p=0.012\n", - "ESP-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.968, p=0.442\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.906, p=0.009\n", - "ESP-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.960, p=0.283\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-External health expenditure (% of current health expenditure)\n", - "Statistical=0.880, p=0.002\n", - "ESP-External health expenditure per capita (current US$)\n", - "Statistical=0.742, p=0.000\n", - "ESP-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.809, p=0.000\n", - "ESP-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.810, p=0.000\n", - "ESP-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.546, p=0.000\n", - "ESP-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.560, p=0.000\n", - "ESP-People practicing open defecation (% of population)\n", - "Statistical=0.553, p=0.000\n", - "ESP-Taxes on exports (% of tax revenue)\n", - "Statistical=0.883, p=0.002\n", - "ESP-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.952, p=0.160\n", - "Data is NORMAL ( H0 not denied )\n", - "ESP-Country\n", - "Statistical=0.643, p=0.000\n", - "ESP-Year\n", - "Statistical=0.557, p=0.000\n", - "ESP-Continent\n", - "Statistical=0.532, p=0.000\n", - "HRV-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.611, p=0.000\n", - "HRV-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.557, p=0.000\n", - "HRV-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.472, p=0.000\n", - "HRV-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.548, p=0.000\n", - "HRV-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.569, p=0.000\n", - "HRV-Age dependency ratio (% of working-age population)\n", - "Statistical=0.620, p=0.000\n", - "HRV-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.621, p=0.000\n", - "HRV-Agricultural land (% of land area)\n", - "Statistical=0.605, p=0.000\n", - "HRV-Agricultural land (sq. km)\n", - "Statistical=0.620, p=0.000\n", - "HRV-Agricultural methane emissions (% of total)\n", - "Statistical=0.814, p=0.000\n", - "HRV-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.761, p=0.000\n", - "HRV-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.774, p=0.000\n", - "HRV-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.931, p=0.042\n", - "HRV-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.910, p=0.011\n", - "HRV-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.822, p=0.000\n", - "HRV-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.933, p=0.047\n", - "HRV-Aquaculture production (metric tons)\n", - "Statistical=0.917, p=0.017\n", - "HRV-Arable land (% of land area)\n", - "Statistical=0.824, p=0.000\n", - "HRV-Arable land (hectares per person)\n", - "Statistical=0.920, p=0.021\n", - "HRV-Arable land (hectares)\n", - "Statistical=0.895, p=0.005\n", - "HRV-Armed forces personnel (% of total labor force)\n", - "Statistical=0.920, p=0.021\n", - "HRV-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.894, p=0.004\n", - "HRV-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.881, p=0.002\n", - "HRV-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.908, p=0.010\n", - "HRV-Average precipitation in depth (mm per year)\n", - "Statistical=0.914, p=0.014\n", - "HRV-Average time to clear exports through customs (days)\n", - "Statistical=0.839, p=0.000\n", - "HRV-Births attended by skilled health staff (% of total)\n", - "Statistical=0.848, p=0.000\n", - "HRV-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.833, p=0.000\n", - "HRV-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.964, p=0.354\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.885, p=0.003\n", - "HRV-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.859, p=0.001\n", - "HRV-CO2 emissions (kt)\n", - "Statistical=0.708, p=0.000\n", - "HRV-CO2 emissions (metric tons per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.964, p=0.353\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.915, p=0.015\n", - "HRV-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.872, p=0.001\n", - "HRV-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.912, p=0.013\n", - "HRV-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.890, p=0.004\n", - "HRV-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.964, p=0.347\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.732, p=0.000\n", - "HRV-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.664, p=0.000\n", - "HRV-Capture fisheries production (metric tons)\n", - "Statistical=0.767, p=0.000\n", - "HRV-Cereal production (metric tons)\n", - "Statistical=0.949, p=0.131\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Cereal yield (kg per hectare)\n", - "Statistical=0.971, p=0.522\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Changes in inventories (current US$)\n", - "Statistical=0.879, p=0.002\n", - "HRV-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.877, p=0.002\n", - "HRV-Children out of school (% of primary school age)\n", - "Statistical=0.830, p=0.000\n", - "HRV-Coal rents (% of GDP)\n", - "Statistical=0.837, p=0.000\n", - "HRV-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.567, p=0.000\n", - "HRV-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.743, p=0.000\n", - "HRV-Commercial service exports (current US$)\n", - "Statistical=0.833, p=0.000\n", - "HRV-Commercial service imports (current US$)\n", - "Statistical=0.882, p=0.002\n", - "HRV-Completeness of birth registration (%)\n", - "Statistical=0.821, p=0.000\n", - "HRV-Consumer price index (2010 = 100)\n", - "Statistical=0.900, p=0.006\n", - "HRV-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.943, p=0.091\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Crop production index (2014-2016 = 100)\n", - "Statistical=0.900, p=0.006\n", - "HRV-Current account balance (% of GDP)\n", - "Statistical=0.874, p=0.001\n", - "HRV-Current account balance (BoP, current US$)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Current health expenditure (% of GDP)\n", - "Statistical=0.980, p=0.791\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Current health expenditure per capita (current US$)\n", - "Statistical=0.980, p=0.791\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.916, p=0.017\n", - "HRV-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.911, p=0.012\n", - "HRV-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.899, p=0.006\n", - "HRV-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.928, p=0.035\n", - "HRV-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.908, p=0.010\n", - "HRV-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.908, p=0.010\n", - "HRV-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.866, p=0.001\n", - "HRV-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.721, p=0.000\n", - "HRV-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.803, p=0.000\n", - "HRV-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.816, p=0.000\n", - "HRV-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.709, p=0.000\n", - "HRV-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.709, p=0.000\n", - "HRV-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Electric power consumption (kWh per capita)\n", - "Statistical=0.848, p=0.000\n", - "HRV-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.865, p=0.001\n", - "HRV-Electricity production from coal sources (% of total)\n", - "Statistical=0.837, p=0.000\n", - "HRV-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.782, p=0.000\n", - "HRV-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.779, p=0.000\n", - "HRV-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.834, p=0.000\n", - "HRV-Electricity production from oil sources (% of total)\n", - "Statistical=0.890, p=0.004\n", - "HRV-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.792, p=0.000\n", - "HRV-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.865, p=0.001\n", - "HRV-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.875, p=0.002\n", - "HRV-Export unit value index (2000 = 100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Export value index (2000 = 100)\n", - "Statistical=0.754, p=0.000\n", - "HRV-Export volume index (2000 = 100)\n", - "Statistical=0.773, p=0.000\n", - "HRV-Exports of goods and services (% of GDP)\n", - "Statistical=0.778, p=0.000\n", - "HRV-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.871, p=0.001\n", - "HRV-Exports of goods and services (current US$)\n", - "Statistical=0.905, p=0.009\n", - "HRV-External balance on goods and services (% of GDP)\n", - "Statistical=0.870, p=0.001\n", - "HRV-External balance on goods and services (current US$)\n", - "Statistical=0.919, p=0.019\n", - "HRV-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.703, p=0.000\n", - "HRV-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.872, p=0.001\n", - "HRV-Final consumption expenditure (% of GDP)\n", - "Statistical=0.871, p=0.001\n", - "HRV-Final consumption expenditure (current US$)\n", - "Statistical=0.846, p=0.000\n", - "HRV-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Firms offering formal training (% of firms)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.922, p=0.023\n", - "HRV-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Fixed broadband subscriptions\n", - "Statistical=0.897, p=0.005\n", - "HRV-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.854, p=0.001\n", - "HRV-Fixed telephone subscriptions\n", - "Statistical=0.888, p=0.003\n", - "HRV-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.962, p=0.319\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Food exports (% of merchandise exports)\n", - "Statistical=0.910, p=0.011\n", - "HRV-Food imports (% of merchandise imports)\n", - "Statistical=0.876, p=0.002\n", - "HRV-Food production index (2014-2016 = 100)\n", - "Statistical=0.819, p=0.000\n", - "HRV-Forest area (% of land area)\n", - "Statistical=0.909, p=0.011\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "HRV-Forest area (sq. km)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Forest rents (% of GDP)\n", - "Statistical=0.845, p=0.000\n", - "HRV-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.827, p=0.000\n", - "HRV-Fuel exports (% of merchandise exports)\n", - "Statistical=0.824, p=0.000\n", - "HRV-Fuel imports (% of merchandise imports)\n", - "Statistical=0.848, p=0.000\n", - "HRV-GDP (current US$)\n", - "Statistical=0.972, p=0.561\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-GDP deflator (base year varies by country)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.969, p=0.473\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-GDP growth (annual %)\n", - "Statistical=0.957, p=0.226\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-GDP per capita (current US$)\n", - "Statistical=0.866, p=0.001\n", - "HRV-GDP per capita growth (annual %)\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.816, p=0.000\n", - "HRV-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.899, p=0.006\n", - "HRV-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.717, p=0.000\n", - "HRV-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.840, p=0.000\n", - "HRV-GNI (current US$)\n", - "Statistical=0.898, p=0.006\n", - "HRV-GNI growth (annual %)\n", - "Statistical=0.711, p=0.000\n", - "HRV-GNI per capita growth (annual %)\n", - "Statistical=0.755, p=0.000\n", - "HRV-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.952, p=0.165\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-General government final consumption expenditure (current US$)\n", - "Statistical=0.920, p=0.021\n", - "HRV-Gini index\n", - "Statistical=0.900, p=0.006\n", - "HRV-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Goods imports (BoP, current US$)\n", - "Statistical=0.968, p=0.459\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Grants and other revenue (% of revenue)\n", - "Statistical=0.865, p=0.001\n", - "HRV-Gross capital formation (% of GDP)\n", - "Statistical=0.914, p=0.015\n", - "HRV-Gross capital formation (current US$)\n", - "Statistical=0.911, p=0.012\n", - "HRV-Gross domestic savings (% of GDP)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Gross domestic savings (current US$)\n", - "Statistical=0.915, p=0.015\n", - "HRV-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.927, p=0.032\n", - "HRV-Gross savings (% of GDP)\n", - "Statistical=0.922, p=0.024\n", - "HRV-Gross savings (current US$)\n", - "Statistical=0.869, p=0.001\n", - "HRV-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.845, p=0.000\n", - "HRV-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-High-technology exports (% of manufactured exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-High-technology exports (current US$)\n", - "Statistical=0.870, p=0.001\n", - "HRV-Hospital beds (per 1,000 people)\n", - "Statistical=0.800, p=0.000\n", - "HRV-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.852, p=0.000\n", - "HRV-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.813, p=0.000\n", - "HRV-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.813, p=0.000\n", - "HRV-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.813, p=0.000\n", - "HRV-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.965, p=0.371\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.929, p=0.038\n", - "HRV-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.954, p=0.187\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.513, p=0.000\n", - "HRV-ICT goods exports (% of total goods exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-ICT goods imports (% total goods imports)\n", - "Statistical=0.780, p=0.000\n", - "HRV-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.889, p=0.003\n", - "HRV-ICT service exports (BoP, current US$)\n", - "Statistical=0.835, p=0.000\n", - "HRV-Import unit value index (2000 = 100)\n", - "Statistical=0.834, p=0.000\n", - "HRV-Import value index (2000 = 100)\n", - "Statistical=0.850, p=0.000\n", - "HRV-Import volume index (2000 = 100)\n", - "Statistical=0.871, p=0.001\n", - "HRV-Imports of goods and services (% of GDP)\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Imports of goods and services (current US$)\n", - "Statistical=0.796, p=0.000\n", - "HRV-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "HRV-Income share held by highest 10%\n", - "Statistical=0.553, p=0.000\n", - "HRV-Income share held by highest 20%\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Income share held by lowest 10%\n", - "Statistical=0.878, p=0.002\n", - "HRV-Income share held by lowest 20%\n", - "Statistical=0.878, p=0.002\n", - "HRV-Income share held by second 20%\n", - "Statistical=0.861, p=0.001\n", - "HRV-Income share held by third 20%\n", - "Statistical=0.894, p=0.004\n", - "HRV-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.855, p=0.001\n", - "HRV-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.835, p=0.000\n", - "HRV-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.833, p=0.000\n", - "HRV-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.894, p=0.004\n", - "HRV-Individuals using the Internet (% of population)\n", - "Statistical=0.852, p=0.000\n", - "HRV-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.860, p=0.001\n", - "HRV-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.494, p=0.000\n", - "HRV-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.810, p=0.000\n", - "HRV-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.787, p=0.000\n", - "HRV-Intentional homicides (per 100,000 people)\n", - "Statistical=0.801, p=0.000\n", - "HRV-Interest payments (% of revenue)\n", - "Statistical=0.763, p=0.000\n", - "HRV-International migrant stock (% of population)\n", - "Statistical=0.763, p=0.000\n", - "HRV-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.763, p=0.000\n", - "HRV-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.846, p=0.000\n", - "HRV-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.819, p=0.000\n", - "HRV-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.838, p=0.000\n", - "HRV-Land area (sq. km)\n", - "Statistical=0.763, p=0.000\n", - "HRV-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.763, p=0.000\n", - "HRV-Land under cereal production (hectares)\n", - "Statistical=0.763, p=0.000\n", - "HRV-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.850, p=0.000\n", - "HRV-Lifetime risk of maternal death (%)\n", - "Statistical=0.914, p=0.015\n", - "HRV-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.860, p=0.001\n", - "HRV-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.960, p=0.275\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.895, p=0.005\n", - "HRV-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.948, p=0.129\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.735, p=0.000\n", - "HRV-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.717, p=0.000\n", - "HRV-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.929, p=0.036\n", - "HRV-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.961, p=0.285\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Low-birthweight babies (% of births)\n", - "Statistical=0.955, p=0.203\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Lower secondary school starting age (years)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.923, p=0.024\n", - "HRV-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.945, p=0.107\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.958, p=0.241\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Marine protected areas (% of territorial waters)\n", - "Statistical=0.919, p=0.019\n", - "HRV-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.969, p=0.482\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.922, p=0.023\n", - "HRV-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.930, p=0.040\n", - "HRV-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.911, p=0.012\n", - "HRV-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.931, p=0.041\n", - "HRV-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.842, p=0.000\n", - "HRV-Merchandise exports (current US$)\n", - "Statistical=0.947, p=0.115\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.870, p=0.001\n", - "HRV-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.834, p=0.000\n", - "HRV-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.947, p=0.115\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.652, p=0.000\n", - "HRV-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.912, p=0.013\n", - "HRV-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.783, p=0.000\n", - "HRV-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.979, p=0.767\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.678, p=0.000\n", - "HRV-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.838, p=0.000\n", - "HRV-Merchandise imports (current US$)\n", - "Statistical=0.839, p=0.000\n", - "HRV-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.820, p=0.000\n", - "HRV-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.855, p=0.001\n", - "HRV-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.761, p=0.000\n", - "HRV-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.855, p=0.001\n", - "HRV-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.849, p=0.000\n", - "HRV-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.856, p=0.001\n", - "HRV-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.932, p=0.045\n", - "HRV-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.872, p=0.001\n", - "HRV-Merchandise trade (% of GDP)\n", - "Statistical=0.902, p=0.007\n", - "HRV-Methane emissions (% change from 1990)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.930, p=0.039\n", - "HRV-Military expenditure (% of GDP)\n", - "Statistical=0.865, p=0.001\n", - "HRV-Military expenditure (% of general government expenditure)\n", - "Statistical=0.878, p=0.002\n", - "HRV-Military expenditure (current USD)\n", - "Statistical=0.917, p=0.017\n", - "HRV-Mineral rents (% of GDP)\n", - "Statistical=0.444, p=0.000\n", - "HRV-Mobile cellular subscriptions\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Natural gas rents (% of GDP)\n", - "Statistical=0.976, p=0.676\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Net capital account (BoP, current US$)\n", - "Statistical=0.932, p=0.043\n", - "HRV-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.899, p=0.006\n", - "HRV-Net financial account (BoP, current US$)\n", - "Statistical=0.962, p=0.307\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Net migration\n", - "Statistical=0.857, p=0.001\n", - "HRV-Net primary income (BoP, current US$)\n", - "Statistical=0.857, p=0.001\n", - "HRV-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.867, p=0.001\n", - "HRV-Net secondary income (BoP, current US$)\n", - "Statistical=0.831, p=0.000\n", - "HRV-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.788, p=0.000\n", - "HRV-Net trade in goods (BoP, current US$)\n", - "Statistical=0.792, p=0.000\n", - "HRV-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.925, p=0.028\n", - "HRV-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.733, p=0.000\n", - "HRV-New businesses registered (number)\n", - "Statistical=0.848, p=0.000\n", - "HRV-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.764, p=0.000\n", - "HRV-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.770, p=0.000\n", - "HRV-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.904, p=0.008\n", - "HRV-Number of deaths ages 10-14 years\n", - "Statistical=0.886, p=0.003\n", - "HRV-Number of deaths ages 15-19 years\n", - "Statistical=0.968, p=0.446\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Number of deaths ages 20-24 years\n", - "Statistical=0.885, p=0.003\n", - "HRV-Number of deaths ages 5-9 years\n", - "Statistical=0.967, p=0.432\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Number of infant deaths\n", - "Statistical=0.925, p=0.028\n", - "HRV-Number of maternal deaths\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Number of neonatal deaths\n", - "Statistical=0.923, p=0.025\n", - "HRV-Number of under-five deaths\n", - "Statistical=0.875, p=0.002\n", - "HRV-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.957, p=0.231\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Oil rents (% of GDP)\n", - "Statistical=0.908, p=0.010\n", - "HRV-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.962, p=0.308\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.868, p=0.001\n", - "HRV-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.961, p=0.288\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.884, p=0.002\n", - "HRV-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.884, p=0.002\n", - "HRV-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.875, p=0.002\n", - "HRV-People using at least basic drinking water services (% of population)\n", - "Statistical=0.827, p=0.000\n", - "HRV-People using at least basic sanitation services (% of population)\n", - "Statistical=0.865, p=0.001\n", - "HRV-People using safely managed sanitation services (% of population)\n", - "Statistical=0.865, p=0.001\n", - "HRV-Permanent cropland (% of land area)\n", - "Statistical=0.850, p=0.000\n", - "HRV-Physicians (per 1,000 people)\n", - "Statistical=0.896, p=0.005\n", - "HRV-Population ages 0-14 (% of total population)\n", - "Statistical=0.896, p=0.005\n", - "HRV-Population ages 15-64 (% of total population)\n", - "Statistical=0.891, p=0.004\n", - "HRV-Population ages 65 and above (% of total population)\n", - "Statistical=0.821, p=0.000\n", - "HRV-Population density (people per sq. km of land area)\n", - "Statistical=0.878, p=0.002\n", - "HRV-Population growth (annual %)\n", - "Statistical=0.896, p=0.005\n", - "HRV-Population in largest city\n", - "Statistical=0.902, p=0.007\n", - "HRV-Population in the largest city (% of urban population)\n", - "Statistical=0.836, p=0.000\n", - "HRV-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.830, p=0.000\n", - "HRV-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.853, p=0.000\n", - "HRV-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.884, p=0.002\n", - "HRV-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.897, p=0.005\n", - "HRV-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.875, p=0.002\n", - "HRV-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=0.796, p=0.000\n", - "HRV-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.892, p=0.004\n", - "HRV-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.892, p=0.004\n", - "HRV-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.883, p=0.002\n", - "HRV-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.821, p=0.000\n", - "HRV-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.867, p=0.001\n", - "HRV-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.907, p=0.010\n", - "HRV-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.907, p=0.010\n", - "HRV-Prevalence of undernourishment (% of population)\n", - "Statistical=0.897, p=0.005\n", - "HRV-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.885, p=0.003\n", - "HRV-Primary income payments (BoP, current US$)\n", - "Statistical=0.783, p=0.000\n", - "HRV-Primary income receipts (BoP, current US$)\n", - "Statistical=0.907, p=0.010\n", - "HRV-Primary school starting age (years)\n", - "Statistical=0.902, p=0.007\n", - "HRV-Private credit bureau coverage (% of adults)\n", - "Statistical=0.783, p=0.000\n", - "HRV-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.892, p=0.004\n", - "HRV-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.897, p=0.005\n", - "HRV-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.883, p=0.002\n", - "HRV-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.931, p=0.041\n", - "HRV-Procedures to build a warehouse (number)\n", - "Statistical=0.955, p=0.198\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Procedures to register property (number)\n", - "Statistical=0.881, p=0.002\n", - "HRV-Profit tax (% of commercial profits)\n", - "Statistical=0.881, p=0.002\n", - "HRV-Progression to secondary school (%)\n", - "Statistical=0.888, p=0.003\n", - "HRV-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.830, p=0.000\n", - "HRV-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.597, p=0.000\n", - "HRV-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.857, p=0.001\n", - "HRV-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.900, p=0.006\n", - "HRV-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.745, p=0.000\n", - "HRV-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.834, p=0.000\n", - "HRV-Public credit registry coverage (% of adults)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.836, p=0.000\n", - "HRV-Rail lines (total route-km)\n", - "Statistical=0.349, p=0.000\n", - "HRV-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.382, p=0.000\n", - "HRV-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.820, p=0.000\n", - "HRV-Refugee population by country or territory of asylum\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Refugee population by country or territory of origin\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.943, p=0.091\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.943, p=0.091\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.917, p=0.017\n", - "HRV-Research and development expenditure (% of GDP)\n", - "Statistical=0.912, p=0.013\n", - "HRV-Researchers in R&D (per million people)\n", - "Statistical=0.886, p=0.003\n", - "HRV-Reserves and related items (BoP, current US$)\n", - "Statistical=0.899, p=0.006\n", - "HRV-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.917, p=0.017\n", - "HRV-Rural land area (sq. km)\n", - "Statistical=0.878, p=0.002\n", - "HRV-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.926, p=0.031\n", - "HRV-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.919, p=0.019\n", - "HRV-Rural population\n", - "Statistical=0.916, p=0.016\n", - "HRV-Rural population (% of total population)\n", - "Statistical=0.916, p=0.016\n", - "HRV-Rural population growth (annual %)\n", - "Statistical=0.901, p=0.007\n", - "HRV-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.908, p=0.010\n", - "HRV-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.920, p=0.020\n", - "HRV-Scientific and technical journal articles\n", - "Statistical=0.919, p=0.020\n", - "HRV-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.916, p=0.016\n", - "HRV-Secure Internet servers\n", - "Statistical=0.917, p=0.017\n", - "HRV-Secure Internet servers (per 1 million people)\n", - "Statistical=0.891, p=0.004\n", - "HRV-Service exports (BoP, current US$)\n", - "Statistical=0.891, p=0.004\n", - "HRV-Service imports (BoP, current US$)\n", - "Statistical=0.871, p=0.001\n", - "HRV-Sex ratio at birth (male births per female births)\n", - "Statistical=0.851, p=0.000\n", - "HRV-Social contributions (% of revenue)\n", - "Statistical=0.860, p=0.001\n", - "HRV-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.904, p=0.008\n", - "HRV-Start-up procedures to register a business (number)\n", - "Statistical=0.917, p=0.017\n", - "HRV-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.880, p=0.002\n", - "HRV-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.879, p=0.002\n", - "HRV-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.879, p=0.002\n", - "HRV-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.865, p=0.001\n", - "HRV-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.832, p=0.000\n", - "HRV-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.745, p=0.000\n", - "HRV-Surface area (sq. km)\n", - "Statistical=0.726, p=0.000\n", - "HRV-Tax payments (number)\n", - "Statistical=0.901, p=0.007\n", - "HRV-Tax revenue (% of GDP)\n", - "Statistical=0.957, p=0.233\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Taxes less subsidies on products (current US$)\n", - "Statistical=0.862, p=0.001\n", - "HRV-Taxes on goods and services (% of revenue)\n", - "Statistical=0.862, p=0.001\n", - "HRV-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.857, p=0.001\n", - "HRV-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.841, p=0.000\n", - "HRV-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.860, p=0.001\n", - "HRV-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Time required to build a warehouse (days)\n", - "Statistical=0.862, p=0.001\n", - "HRV-Time required to enforce a contract (days)\n", - "Statistical=0.893, p=0.004\n", - "HRV-Time required to get electricity (days)\n", - "Statistical=0.926, p=0.030\n", - "HRV-Time required to register property (days)\n", - "Statistical=0.857, p=0.001\n", - "HRV-Time required to start a business (days)\n", - "Statistical=0.676, p=0.000\n", - "HRV-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.650, p=0.000\n", - "HRV-Time to obtain an electrical connection (days)\n", - "Statistical=0.632, p=0.000\n", - "HRV-Time to prepare and pay taxes (hours)\n", - "Statistical=0.656, p=0.000\n", - "HRV-Time to resolve insolvency (years)\n", - "Statistical=0.671, p=0.000\n", - "HRV-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.676, p=0.000\n", - "HRV-Total fisheries production (metric tons)\n", - "Statistical=0.674, p=0.000\n", - "HRV-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.673, p=0.000\n", - "HRV-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.674, p=0.000\n", - "HRV-Total natural resources rents (% of GDP)\n", - "Statistical=0.858, p=0.001\n", - "HRV-Total reserves (includes gold, current US$)\n", - "Statistical=0.873, p=0.001\n", - "HRV-Total reserves in months of imports\n", - "Statistical=0.915, p=0.016\n", - "HRV-Total reserves minus gold (current US$)\n", - "Statistical=0.879, p=0.002\n", - "HRV-Total tax and contribution rate (% of profit)\n", - "Statistical=0.887, p=0.003\n", - "HRV-Trade (% of GDP)\n", - "Statistical=0.845, p=0.000\n", - "HRV-Trade in services (% of GDP)\n", - "Statistical=0.908, p=0.010\n", - "HRV-Transport services (% of commercial service exports)\n", - "Statistical=0.842, p=0.000\n", - "HRV-Transport services (% of commercial service imports)\n", - "Statistical=0.867, p=0.001\n", - "HRV-Transport services (% of service exports, BoP)\n", - "Statistical=0.858, p=0.001\n", - "HRV-Transport services (% of service imports, BoP)\n", - "Statistical=0.905, p=0.008\n", - "HRV-Travel services (% of commercial service exports)\n", - "Statistical=0.900, p=0.006\n", - "HRV-Travel services (% of commercial service imports)\n", - "Statistical=0.916, p=0.017\n", - "HRV-Travel services (% of service exports, BoP)\n", - "Statistical=0.922, p=0.024\n", - "HRV-Travel services (% of service imports, BoP)\n", - "Statistical=0.922, p=0.024\n", - "HRV-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.922, p=0.024\n", - "HRV-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.862, p=0.001\n", - "HRV-UHC service coverage index\n", - "Statistical=0.900, p=0.006\n", - "HRV-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.846, p=0.000\n", - "HRV-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.617, p=0.000\n", - "HRV-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.663, p=0.000\n", - "HRV-Urban land area (sq. km)\n", - "Statistical=0.638, p=0.000\n", - "HRV-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.602, p=0.000\n", - "HRV-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.570, p=0.000\n", - "HRV-Urban population\n", - "Statistical=0.590, p=0.000\n", - "HRV-Urban population (% of total population)\n", - "Statistical=0.637, p=0.000\n", - "HRV-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-GDP (current US$)+2\n", - "Statistical=0.654, p=0.000\n", - "HRV-GDP (current US$)+3\n", - "Statistical=0.827, p=0.000\n", - "HRV-GDP (current US$)+5\n", - "Statistical=0.911, p=0.012\n", - "HRV-GDP (current US$)+8\n", - "Statistical=0.917, p=0.017\n", - "HRV-GDP (current US$)+13\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-GDP (current US$)+21\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.852, p=0.000\n", - "HRV-Deposit interest rate (%)\n", - "Statistical=0.867, p=0.001\n", - "HRV-Other taxes (% of revenue)\n", - "Statistical=0.802, p=0.000\n", - "HRV-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.920, p=0.021\n", - "HRV-Taxes on international trade (% of revenue)\n", - "Statistical=0.920, p=0.021\n", - "HRV-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.966, p=0.406\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Broad money (% of GDP)\n", - "Statistical=0.949, p=0.137\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Broad money growth (annual %)\n", - "Statistical=0.909, p=0.010\n", - "HRV-Broad money to total reserves ratio\n", - "Statistical=0.952, p=0.165\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.910, p=0.012\n", - "HRV-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.917, p=0.018\n", - "HRV-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.962, p=0.311\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-External health expenditure (% of current health expenditure)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-External health expenditure per capita (current US$)\n", - "Statistical=0.615, p=0.000\n", - "HRV-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.695, p=0.000\n", - "HRV-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.828, p=0.000\n", - "HRV-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.820, p=0.000\n", - "HRV-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.917, p=0.017\n", - "HRV-People practicing open defecation (% of population)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "HRV-Taxes on exports (% of tax revenue)\n", - "Statistical=0.933, p=0.049\n", - "HRV-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.865, p=0.001\n", - "HRV-Country\n", - "Statistical=0.895, p=0.005\n", - "HRV-Year\n", - "Statistical=0.860, p=0.001\n", - "HRV-Continent\n", - "Statistical=0.866, p=0.001\n", - "POL-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.612, p=0.000\n", - "POL-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.580, p=0.000\n", - "POL-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.616, p=0.000\n", - "POL-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.595, p=0.000\n", - "POL-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.607, p=0.000\n", - "POL-Age dependency ratio (% of working-age population)\n", - "Statistical=0.616, p=0.000\n", - "POL-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.616, p=0.000\n", - "POL-Agricultural land (% of land area)\n", - "Statistical=0.585, p=0.000\n", - "POL-Agricultural land (sq. km)\n", - "Statistical=0.613, p=0.000\n", - "POL-Agricultural methane emissions (% of total)\n", - "Statistical=0.787, p=0.000\n", - "POL-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.795, p=0.000\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "POL-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.779, p=0.000\n", - "POL-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.864, p=0.001\n", - "POL-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.904, p=0.008\n", - "POL-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.886, p=0.003\n", - "POL-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.868, p=0.001\n", - "POL-Aquaculture production (metric tons)\n", - "Statistical=0.904, p=0.008\n", - "POL-Arable land (% of land area)\n", - "Statistical=0.885, p=0.003\n", - "POL-Arable land (hectares per person)\n", - "Statistical=0.952, p=0.167\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Arable land (hectares)\n", - "Statistical=0.853, p=0.000\n", - "POL-Armed forces personnel (% of total labor force)\n", - "Statistical=0.958, p=0.235\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.852, p=0.000\n", - "POL-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.834, p=0.000\n", - "POL-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.909, p=0.011\n", - "POL-Average precipitation in depth (mm per year)\n", - "Statistical=0.819, p=0.000\n", - "POL-Average time to clear exports through customs (days)\n", - "Statistical=0.874, p=0.001\n", - "POL-Births attended by skilled health staff (% of total)\n", - "Statistical=0.980, p=0.807\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.873, p=0.001\n", - "POL-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.929, p=0.037\n", - "POL-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.918, p=0.019\n", - "POL-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.890, p=0.003\n", - "POL-CO2 emissions (kt)\n", - "Statistical=0.972, p=0.549\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-CO2 emissions (metric tons per capita)\n", - "Statistical=0.891, p=0.004\n", - "POL-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.874, p=0.001\n", - "POL-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.815, p=0.000\n", - "POL-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.950, p=0.148\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.902, p=0.007\n", - "POL-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.869, p=0.001\n", - "POL-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.888, p=0.003\n", - "POL-Capture fisheries production (metric tons)\n", - "Statistical=0.863, p=0.001\n", - "POL-Cereal production (metric tons)\n", - "Statistical=0.917, p=0.017\n", - "POL-Cereal yield (kg per hectare)\n", - "Statistical=0.869, p=0.001\n", - "POL-Changes in inventories (current US$)\n", - "Statistical=0.817, p=0.000\n", - "POL-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.722, p=0.000\n", - "POL-Children out of school (% of primary school age)\n", - "Statistical=0.812, p=0.000\n", - "POL-Coal rents (% of GDP)\n", - "Statistical=0.812, p=0.000\n", - "POL-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.795, p=0.000\n", - "POL-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.792, p=0.000\n", - "POL-Commercial service exports (current US$)\n", - "Statistical=0.753, p=0.000\n", - "POL-Commercial service imports (current US$)\n", - "Statistical=0.762, p=0.000\n", - "POL-Completeness of birth registration (%)\n", - "Statistical=0.856, p=0.001\n", - "POL-Consumer price index (2010 = 100)\n", - "Statistical=0.958, p=0.244\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.805, p=0.000\n", - "POL-Crop production index (2014-2016 = 100)\n", - "Statistical=0.921, p=0.022\n", - "POL-Current account balance (% of GDP)\n", - "Statistical=0.872, p=0.001\n", - "POL-Current account balance (BoP, current US$)\n", - "Statistical=0.951, p=0.151\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Current health expenditure (% of GDP)\n", - "Statistical=0.947, p=0.115\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Current health expenditure per capita (current US$)\n", - "Statistical=0.947, p=0.115\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.871, p=0.001\n", - "POL-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.899, p=0.006\n", - "POL-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.877, p=0.002\n", - "POL-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.932, p=0.045\n", - "POL-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.960, p=0.271\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.806, p=0.000\n", - "POL-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.946, p=0.109\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.894, p=0.004\n", - "POL-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.909, p=0.011\n", - "POL-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.924, p=0.026\n", - "POL-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.924, p=0.026\n", - "POL-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.958, p=0.237\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Electric power consumption (kWh per capita)\n", - "Statistical=0.833, p=0.000\n", - "POL-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.847, p=0.000\n", - "POL-Electricity production from coal sources (% of total)\n", - "Statistical=0.833, p=0.000\n", - "POL-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.920, p=0.021\n", - "POL-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.930, p=0.040\n", - "POL-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.916, p=0.016\n", - "POL-Electricity production from oil sources (% of total)\n", - "Statistical=0.966, p=0.397\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.769, p=0.000\n", - "POL-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.837, p=0.000\n", - "POL-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.851, p=0.000\n", - "POL-Export unit value index (2000 = 100)\n", - "Statistical=0.765, p=0.000\n", - "POL-Export value index (2000 = 100)\n", - "Statistical=0.754, p=0.000\n", - "POL-Export volume index (2000 = 100)\n", - "Statistical=0.773, p=0.000\n", - "POL-Exports of goods and services (% of GDP)\n", - "Statistical=0.778, p=0.000\n", - "POL-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.928, p=0.036\n", - "POL-Exports of goods and services (current US$)\n", - "Statistical=0.905, p=0.009\n", - "POL-External balance on goods and services (% of GDP)\n", - "Statistical=0.888, p=0.003\n", - "POL-External balance on goods and services (current US$)\n", - "Statistical=0.981, p=0.833\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.864, p=0.001\n", - "POL-Final consumption expenditure (% of GDP)\n", - "Statistical=0.864, p=0.001\n", - "POL-Final consumption expenditure (current US$)\n", - "Statistical=0.859, p=0.001\n", - "POL-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.895, p=0.005\n", - "POL-Firms offering formal training (% of firms)\n", - "Statistical=0.902, p=0.007\n", - "POL-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.826, p=0.000\n", - "POL-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.897, p=0.005\n", - "POL-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.910, p=0.011\n", - "POL-Fixed broadband subscriptions\n", - "Statistical=0.873, p=0.001\n", - "POL-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.898, p=0.006\n", - "POL-Fixed telephone subscriptions\n", - "Statistical=0.830, p=0.000\n", - "POL-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.906, p=0.009\n", - "POL-Food exports (% of merchandise exports)\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Food imports (% of merchandise imports)\n", - "Statistical=0.912, p=0.013\n", - "POL-Food production index (2014-2016 = 100)\n", - "Statistical=0.840, p=0.000\n", - "POL-Forest area (% of land area)\n", - "Statistical=0.835, p=0.000\n", - "POL-Forest area (sq. km)\n", - "Statistical=0.902, p=0.007\n", - "POL-Forest rents (% of GDP)\n", - "Statistical=0.802, p=0.000\n", - "POL-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.643, p=0.000\n", - "POL-Fuel exports (% of merchandise exports)\n", - "Statistical=0.794, p=0.000\n", - "POL-Fuel imports (% of merchandise imports)\n", - "Statistical=0.866, p=0.001\n", - "POL-GDP (current US$)\n", - "Statistical=0.943, p=0.091\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-GDP deflator (base year varies by country)\n", - "Statistical=0.979, p=0.784\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.896, p=0.005\n", - "POL-GDP growth (annual %)\n", - "Statistical=0.915, p=0.016\n", - "POL-GDP per capita (current US$)\n", - "Statistical=0.886, p=0.003\n", - "POL-GDP per capita growth (annual %)\n", - "Statistical=0.783, p=0.000\n", - "POL-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.945, p=0.105\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.906, p=0.009\n", - "POL-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.914, p=0.014\n", - "POL-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.893, p=0.004\n", - "POL-GNI (current US$)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-GNI growth (annual %)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-GNI per capita growth (annual %)\n", - "Statistical=0.929, p=0.037\n", - "POL-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.976, p=0.679\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-General government final consumption expenditure (current US$)\n", - "Statistical=0.932, p=0.045\n", - "POL-Gini index\n", - "Statistical=0.912, p=0.012\n", - "POL-Goods exports (BoP, current US$)\n", - "Statistical=0.863, p=0.001\n", - "POL-Goods imports (BoP, current US$)\n", - "Statistical=0.796, p=0.000\n", - "POL-Grants and other revenue (% of revenue)\n", - "Statistical=0.784, p=0.000\n", - "POL-Gross capital formation (% of GDP)\n", - "Statistical=0.876, p=0.002\n", - "POL-Gross capital formation (current US$)\n", - "Statistical=0.879, p=0.002\n", - "POL-Gross domestic savings (% of GDP)\n", - "Statistical=0.947, p=0.116\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Gross domestic savings (current US$)\n", - "Statistical=0.976, p=0.684\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.946, p=0.110\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Gross savings (% of GDP)\n", - "Statistical=0.972, p=0.557\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Gross savings (current US$)\n", - "Statistical=0.898, p=0.005\n", - "POL-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.787, p=0.000\n", - "POL-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.963, p=0.323\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-High-technology exports (% of manufactured exports)\n", - "Statistical=0.884, p=0.003\n", - "POL-High-technology exports (current US$)\n", - "Statistical=0.931, p=0.042\n", - "POL-Hospital beds (per 1,000 people)\n", - "Statistical=0.934, p=0.050\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.769, p=0.000\n", - "POL-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.769, p=0.000\n", - "POL-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.769, p=0.000\n", - "POL-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.953, p=0.176\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.970, p=0.503\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.915, p=0.015\n", - "POL-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.874, p=0.001\n", - "POL-ICT goods exports (% of total goods exports)\n", - "Statistical=0.953, p=0.173\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-ICT goods imports (% total goods imports)\n", - "Statistical=0.892, p=0.004\n", - "POL-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.827, p=0.000\n", - "POL-ICT service exports (BoP, current US$)\n", - "Statistical=0.813, p=0.000\n", - "POL-Import unit value index (2000 = 100)\n", - "Statistical=0.834, p=0.000\n", - "POL-Import value index (2000 = 100)\n", - "Statistical=0.737, p=0.000\n", - "POL-Import volume index (2000 = 100)\n", - "Statistical=0.745, p=0.000\n", - "POL-Imports of goods and services (% of GDP)\n", - "Statistical=0.907, p=0.009\n", - "POL-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Imports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "POL-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Income share held by lowest 10%\n", - "Statistical=0.837, p=0.000\n", - "POL-Income share held by lowest 20%\n", - "Statistical=0.837, p=0.000\n", - "POL-Income share held by second 20%\n", - "Statistical=0.835, p=0.000\n", - "POL-Income share held by third 20%\n", - "Statistical=0.864, p=0.001\n", - "POL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.840, p=0.000\n", - "POL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.816, p=0.000\n", - "POL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.836, p=0.000\n", - "POL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.865, p=0.001\n", - "POL-Individuals using the Internet (% of population)\n", - "Statistical=0.805, p=0.000\n", - "POL-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.824, p=0.000\n", - "POL-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.543, p=0.000\n", - "POL-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.694, p=0.000\n", - "POL-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.713, p=0.000\n", - "POL-Intentional homicides (per 100,000 people)\n", - "Statistical=0.693, p=0.000\n", - "POL-Interest payments (% of revenue)\n", - "Statistical=0.661, p=0.000\n", - "POL-International migrant stock (% of population)\n", - "Statistical=0.681, p=0.000\n", - "POL-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.660, p=0.000\n", - "POL-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.720, p=0.000\n", - "POL-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.815, p=0.000\n", - "POL-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.720, p=0.000\n", - "POL-Land area (sq. km)\n", - "Statistical=0.717, p=0.000\n", - "POL-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.717, p=0.000\n", - "POL-Land under cereal production (hectares)\n", - "Statistical=0.717, p=0.000\n", - "POL-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.868, p=0.001\n", - "POL-Lifetime risk of maternal death (%)\n", - "Statistical=0.893, p=0.004\n", - "POL-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.829, p=0.000\n", - "POL-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.905, p=0.008\n", - "POL-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.816, p=0.000\n", - "POL-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.890, p=0.003\n", - "POL-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.748, p=0.000\n", - "POL-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.738, p=0.000\n", - "POL-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.734, p=0.000\n", - "POL-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.948, p=0.129\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.960, p=0.277\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Low-birthweight babies (% of births)\n", - "Statistical=0.926, p=0.031\n", - "POL-Lower secondary school starting age (years)\n", - "Statistical=0.930, p=0.038\n", - "POL-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.932, p=0.045\n", - "POL-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.923, p=0.025\n", - "POL-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.961, p=0.290\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Marine protected areas (% of territorial waters)\n", - "Statistical=0.846, p=0.000\n", - "POL-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.972, p=0.561\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.877, p=0.002\n", - "POL-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.899, p=0.006\n", - "POL-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.843, p=0.000\n", - "POL-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.907, p=0.009\n", - "POL-Merchandise exports (current US$)\n", - "Statistical=0.927, p=0.033\n", - "POL-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.955, p=0.204\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.932, p=0.043\n", - "POL-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.944, p=0.097\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.956, p=0.211\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.956, p=0.214\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.973, p=0.578\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.966, p=0.388\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.969, p=0.465\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.965, p=0.380\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.861, p=0.001\n", - "POL-Merchandise imports (current US$)\n", - "Statistical=0.833, p=0.000\n", - "POL-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.759, p=0.000\n", - "POL-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.964, p=0.362\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.852, p=0.000\n", - "POL-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.808, p=0.000\n", - "POL-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.850, p=0.000\n", - "POL-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.843, p=0.000\n", - "POL-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.874, p=0.001\n", - "POL-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.889, p=0.003\n", - "POL-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.877, p=0.002\n", - "POL-Merchandise trade (% of GDP)\n", - "Statistical=0.945, p=0.105\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Methane emissions (% change from 1990)\n", - "Statistical=0.886, p=0.003\n", - "POL-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.886, p=0.003\n", - "POL-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.873, p=0.001\n", - "POL-Military expenditure (% of GDP)\n", - "Statistical=0.857, p=0.001\n", - "POL-Military expenditure (% of general government expenditure)\n", - "Statistical=0.876, p=0.002\n", - "POL-Military expenditure (current USD)\n", - "Statistical=0.959, p=0.252\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Mineral rents (% of GDP)\n", - "Statistical=0.465, p=0.000\n", - "POL-Mobile cellular subscriptions\n", - "Statistical=0.915, p=0.015\n", - "POL-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.932, p=0.044\n", - "POL-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.808, p=0.000\n", - "POL-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.752, p=0.000\n", - "POL-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.803, p=0.000\n", - "POL-Natural gas rents (% of GDP)\n", - "Statistical=0.905, p=0.008\n", - "POL-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.963, p=0.333\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Net capital account (BoP, current US$)\n", - "Statistical=0.887, p=0.003\n", - "POL-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.958, p=0.248\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Net financial account (BoP, current US$)\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Net migration\n", - "Statistical=0.920, p=0.021\n", - "POL-Net primary income (BoP, current US$)\n", - "Statistical=0.920, p=0.021\n", - "POL-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.923, p=0.025\n", - "POL-Net secondary income (BoP, current US$)\n", - "Statistical=0.835, p=0.000\n", - "POL-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.748, p=0.000\n", - "POL-Net trade in goods (BoP, current US$)\n", - "Statistical=0.859, p=0.001\n", - "POL-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.800, p=0.000\n", - "POL-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.906, p=0.009\n", - "POL-New businesses registered (number)\n", - "Statistical=0.814, p=0.000\n", - "POL-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.775, p=0.000\n", - "POL-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.777, p=0.000\n", - "POL-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.962, p=0.308\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Number of deaths ages 10-14 years\n", - "Statistical=0.963, p=0.324\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Number of deaths ages 15-19 years\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Number of deaths ages 20-24 years\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Number of deaths ages 5-9 years\n", - "Statistical=0.950, p=0.141\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Number of infant deaths\n", - "Statistical=0.854, p=0.001\n", - "POL-Number of maternal deaths\n", - "Statistical=0.974, p=0.601\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Number of neonatal deaths\n", - "Statistical=0.964, p=0.360\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Number of under-five deaths\n", - "Statistical=0.934, p=0.050\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.928, p=0.035\n", - "POL-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.903, p=0.007\n", - "POL-Oil rents (% of GDP)\n", - "Statistical=0.921, p=0.022\n", - "POL-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.921, p=0.022\n", - "POL-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.783, p=0.000\n", - "POL-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.847, p=0.000\n", - "POL-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.928, p=0.034\n", - "POL-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.970, p=0.508\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-People using at least basic drinking water services (% of population)\n", - "Statistical=0.877, p=0.002\n", - "POL-People using at least basic sanitation services (% of population)\n", - "Statistical=0.897, p=0.005\n", - "POL-People using safely managed sanitation services (% of population)\n", - "Statistical=0.897, p=0.005\n", - "POL-Permanent cropland (% of land area)\n", - "Statistical=0.971, p=0.519\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Physicians (per 1,000 people)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Population ages 0-14 (% of total population)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Population ages 15-64 (% of total population)\n", - "Statistical=0.950, p=0.144\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Population ages 65 and above (% of total population)\n", - "Statistical=0.876, p=0.002\n", - "POL-Population density (people per sq. km of land area)\n", - "Statistical=0.966, p=0.401\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Population growth (annual %)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Population in largest city\n", - "Statistical=0.905, p=0.008\n", - "POL-Population in the largest city (% of urban population)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.888, p=0.003\n", - "POL-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.907, p=0.009\n", - "POL-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.906, p=0.009\n", - "POL-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=0.802, p=0.000\n", - "POL-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.915, p=0.015\n", - "POL-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.915, p=0.015\n", - "POL-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.953, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.881, p=0.002\n", - "POL-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.909, p=0.011\n", - "POL-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.914, p=0.015\n", - "POL-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.914, p=0.015\n", - "POL-Prevalence of undernourishment (% of population)\n", - "Statistical=0.953, p=0.175\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.889, p=0.003\n", - "POL-Primary income payments (BoP, current US$)\n", - "Statistical=0.865, p=0.001\n", - "POL-Primary income receipts (BoP, current US$)\n", - "Statistical=0.914, p=0.015\n", - "POL-Primary school starting age (years)\n", - "Statistical=0.912, p=0.012\n", - "POL-Private credit bureau coverage (% of adults)\n", - "Statistical=0.865, p=0.001\n", - "POL-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.915, p=0.015\n", - "POL-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.912, p=0.013\n", - "POL-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.953, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Procedures to build a warehouse (number)\n", - "Statistical=0.930, p=0.039\n", - "POL-Procedures to register property (number)\n", - "Statistical=0.916, p=0.017\n", - "POL-Profit tax (% of commercial profits)\n", - "Statistical=0.916, p=0.017\n", - "POL-Progression to secondary school (%)\n", - "Statistical=0.923, p=0.025\n", - "POL-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.844, p=0.000\n", - "POL-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.784, p=0.000\n", - "POL-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.879, p=0.002\n", - "POL-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.881, p=0.002\n", - "POL-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.961, p=0.296\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.841, p=0.000\n", - "POL-Public credit registry coverage (% of adults)\n", - "Statistical=0.773, p=0.000\n", - "POL-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.821, p=0.000\n", - "POL-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.908, p=0.010\n", - "POL-Rail lines (total route-km)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.779, p=0.000\n", - "POL-Refugee population by country or territory of asylum\n", - "Statistical=0.898, p=0.006\n", - "POL-Refugee population by country or territory of origin\n", - "Statistical=0.923, p=0.025\n", - "POL-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.910, p=0.011\n", - "POL-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.910, p=0.011\n", - "POL-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.913, p=0.013\n", - "POL-Research and development expenditure (% of GDP)\n", - "Statistical=0.857, p=0.001\n", - "POL-Researchers in R&D (per million people)\n", - "Statistical=0.904, p=0.008\n", - "POL-Reserves and related items (BoP, current US$)\n", - "Statistical=0.958, p=0.248\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.875, p=0.002\n", - "POL-Rural land area (sq. km)\n", - "Statistical=0.829, p=0.000\n", - "POL-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.909, p=0.010\n", - "POL-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.925, p=0.029\n", - "POL-Rural population\n", - "Statistical=0.909, p=0.010\n", - "POL-Rural population (% of total population)\n", - "Statistical=0.909, p=0.010\n", - "POL-Rural population growth (annual %)\n", - "Statistical=0.908, p=0.010\n", - "POL-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.851, p=0.000\n", - "POL-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.669, p=0.000\n", - "POL-Scientific and technical journal articles\n", - "Statistical=0.725, p=0.000\n", - "POL-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.967, p=0.415\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Secure Internet servers\n", - "Statistical=0.959, p=0.252\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Secure Internet servers (per 1 million people)\n", - "Statistical=0.917, p=0.017\n", - "POL-Service exports (BoP, current US$)\n", - "Statistical=0.917, p=0.017\n", - "POL-Service imports (BoP, current US$)\n", - "Statistical=0.919, p=0.020\n", - "POL-Sex ratio at birth (male births per female births)\n", - "Statistical=0.831, p=0.000\n", - "POL-Social contributions (% of revenue)\n", - "Statistical=0.887, p=0.003\n", - "POL-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.923, p=0.025\n", - "POL-Start-up procedures to register a business (number)\n", - "Statistical=0.895, p=0.005\n", - "POL-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.890, p=0.003\n", - "POL-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.837, p=0.000\n", - "POL-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.907, p=0.009\n", - "POL-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.907, p=0.009\n", - "POL-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.918, p=0.018\n", - "POL-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.835, p=0.000\n", - "POL-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.822, p=0.000\n", - "POL-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.731, p=0.000\n", - "POL-Surface area (sq. km)\n", - "Statistical=0.733, p=0.000\n", - "POL-Tax payments (number)\n", - "Statistical=0.791, p=0.000\n", - "POL-Tax revenue (% of GDP)\n", - "Statistical=0.925, p=0.029\n", - "POL-Taxes less subsidies on products (current US$)\n", - "Statistical=0.921, p=0.023\n", - "POL-Taxes on goods and services (% of revenue)\n", - "Statistical=0.921, p=0.023\n", - "POL-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.921, p=0.022\n", - "POL-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.834, p=0.000\n", - "POL-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.921, p=0.022\n", - "POL-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.923, p=0.026\n", - "POL-Time required to build a warehouse (days)\n", - "Statistical=0.921, p=0.023\n", - "POL-Time required to enforce a contract (days)\n", - "Statistical=0.884, p=0.002\n", - "POL-Time required to get electricity (days)\n", - "Statistical=0.970, p=0.497\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Time required to register property (days)\n", - "Statistical=0.921, p=0.022\n", - "POL-Time required to start a business (days)\n", - "Statistical=0.405, p=0.000\n", - "POL-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.407, p=0.000\n", - "POL-Time to obtain an electrical connection (days)\n", - "Statistical=0.409, p=0.000\n", - "POL-Time to prepare and pay taxes (hours)\n", - "Statistical=0.409, p=0.000\n", - "POL-Time to resolve insolvency (years)\n", - "Statistical=0.654, p=0.000\n", - "POL-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.400, p=0.000\n", - "POL-Total fisheries production (metric tons)\n", - "Statistical=0.408, p=0.000\n", - "POL-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.381, p=0.000\n", - "POL-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.382, p=0.000\n", - "POL-Total natural resources rents (% of GDP)\n", - "Statistical=0.841, p=0.000\n", - "POL-Total reserves (includes gold, current US$)\n", - "Statistical=0.919, p=0.019\n", - "POL-Total reserves in months of imports\n", - "Statistical=0.799, p=0.000\n", - "POL-Total reserves minus gold (current US$)\n", - "Statistical=0.742, p=0.000\n", - "POL-Total tax and contribution rate (% of profit)\n", - "Statistical=0.792, p=0.000\n", - "POL-Trade (% of GDP)\n", - "Statistical=0.775, p=0.000\n", - "POL-Trade in services (% of GDP)\n", - "Statistical=0.874, p=0.001\n", - "POL-Transport services (% of commercial service exports)\n", - "Statistical=0.812, p=0.000\n", - "POL-Transport services (% of commercial service imports)\n", - "Statistical=0.859, p=0.001\n", - "POL-Transport services (% of service exports, BoP)\n", - "Statistical=0.841, p=0.000\n", - "POL-Transport services (% of service imports, BoP)\n", - "Statistical=0.911, p=0.012\n", - "POL-Travel services (% of commercial service exports)\n", - "Statistical=0.880, p=0.002\n", - "POL-Travel services (% of commercial service imports)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Travel services (% of service exports, BoP)\n", - "Statistical=0.908, p=0.010\n", - "POL-Travel services (% of service imports, BoP)\n", - "Statistical=0.908, p=0.010\n", - "POL-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.897, p=0.005\n", - "POL-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.865, p=0.001\n", - "POL-UHC service coverage index\n", - "Statistical=0.872, p=0.001\n", - "POL-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.863, p=0.001\n", - "POL-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.776, p=0.000\n", - "POL-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.811, p=0.000\n", - "POL-Urban land area (sq. km)\n", - "Statistical=0.785, p=0.000\n", - "POL-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.686, p=0.000\n", - "POL-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.645, p=0.000\n", - "POL-Urban population\n", - "Statistical=0.736, p=0.000\n", - "POL-Urban population (% of total population)\n", - "Statistical=0.800, p=0.000\n", - "POL-Urban population growth (annual %)\n", - "Statistical=0.840, p=0.000\n", - "POL-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.840, p=0.000\n", - "POL-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.891, p=0.004\n", - "POL-GDP (current US$)+1\n", - "Statistical=0.891, p=0.004\n", - "POL-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-GDP (current US$)+2\n", - "Statistical=0.265, p=0.000\n", - "POL-GDP (current US$)+3\n", - "Statistical=0.265, p=0.000\n", - "POL-GDP (current US$)+5\n", - "Statistical=0.885, p=0.003\n", - "POL-GDP (current US$)+8\n", - "Statistical=0.957, p=0.227\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-GDP (current US$)+13\n", - "Statistical=0.841, p=0.000\n", - "POL-GDP (current US$)+21\n", - "Statistical=0.841, p=0.000\n", - "POL-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.902, p=0.007\n", - "POL-Deposit interest rate (%)\n", - "Statistical=0.802, p=0.000\n", - "POL-Other taxes (% of revenue)\n", - "Statistical=0.878, p=0.002\n", - "POL-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.757, p=0.000\n", - "POL-Taxes on international trade (% of revenue)\n", - "Statistical=0.757, p=0.000\n", - "POL-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.741, p=0.000\n", - "POL-Broad money (% of GDP)\n", - "Statistical=0.954, p=0.184\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Broad money growth (annual %)\n", - "Statistical=0.912, p=0.013\n", - "POL-Broad money to total reserves ratio\n", - "Statistical=0.955, p=0.199\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.907, p=0.009\n", - "POL-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.872, p=0.001\n", - "POL-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-External health expenditure (% of current health expenditure)\n", - "Statistical=0.947, p=0.115\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-External health expenditure per capita (current US$)\n", - "Statistical=0.650, p=0.000\n", - "POL-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.855, p=0.001\n", - "POL-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.853, p=0.000\n", - "POL-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.870, p=0.001\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "POL-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-People practicing open defecation (% of population)\n", - "Statistical=0.933, p=0.047\n", - "POL-Taxes on exports (% of tax revenue)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.882, p=0.002\n", - "POL-Country\n", - "Statistical=0.814, p=0.000\n", - "POL-Year\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "POL-Continent\n", - "Statistical=0.904, p=0.008\n", - "GRC-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.635, p=0.000\n", - "GRC-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.632, p=0.000\n", - "GRC-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.639, p=0.000\n", - "GRC-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.640, p=0.000\n", - "GRC-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.613, p=0.000\n", - "GRC-Age dependency ratio (% of working-age population)\n", - "Statistical=0.634, p=0.000\n", - "GRC-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.653, p=0.000\n", - "GRC-Agricultural land (% of land area)\n", - "Statistical=0.634, p=0.000\n", - "GRC-Agricultural land (sq. km)\n", - "Statistical=0.531, p=0.000\n", - "GRC-Agricultural methane emissions (% of total)\n", - "Statistical=0.761, p=0.000\n", - "GRC-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.842, p=0.000\n", - "GRC-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.696, p=0.000\n", - "GRC-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.639, p=0.000\n", - "GRC-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.709, p=0.000\n", - "GRC-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.856, p=0.001\n", - "GRC-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.663, p=0.000\n", - "GRC-Aquaculture production (metric tons)\n", - "Statistical=0.727, p=0.000\n", - "GRC-Arable land (% of land area)\n", - "Statistical=0.861, p=0.001\n", - "GRC-Arable land (hectares per person)\n", - "Statistical=0.769, p=0.000\n", - "GRC-Arable land (hectares)\n", - "Statistical=0.745, p=0.000\n", - "GRC-Armed forces personnel (% of total labor force)\n", - "Statistical=0.769, p=0.000\n", - "GRC-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.742, p=0.000\n", - "GRC-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.764, p=0.000\n", - "GRC-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.868, p=0.001\n", - "GRC-Average precipitation in depth (mm per year)\n", - "Statistical=0.738, p=0.000\n", - "GRC-Average time to clear exports through customs (days)\n", - "Statistical=0.933, p=0.047\n", - "GRC-Births attended by skilled health staff (% of total)\n", - "Statistical=0.760, p=0.000\n", - "GRC-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.860, p=0.001\n", - "GRC-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.795, p=0.000\n", - "GRC-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.891, p=0.004\n", - "GRC-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.765, p=0.000\n", - "GRC-CO2 emissions (kt)\n", - "Statistical=0.724, p=0.000\n", - "GRC-CO2 emissions (metric tons per capita)\n", - "Statistical=0.915, p=0.015\n", - "GRC-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.857, p=0.001\n", - "GRC-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.766, p=0.000\n", - "GRC-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.784, p=0.000\n", - "GRC-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.839, p=0.000\n", - "GRC-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.813, p=0.000\n", - "GRC-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.921, p=0.022\n", - "GRC-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.882, p=0.002\n", - "GRC-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.905, p=0.008\n", - "GRC-Capture fisheries production (metric tons)\n", - "Statistical=0.864, p=0.001\n", - "GRC-Cereal production (metric tons)\n", - "Statistical=0.887, p=0.003\n", - "GRC-Cereal yield (kg per hectare)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Changes in inventories (current US$)\n", - "Statistical=0.855, p=0.001\n", - "GRC-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.686, p=0.000\n", - "GRC-Children out of school (% of primary school age)\n", - "Statistical=0.877, p=0.002\n", - "GRC-Coal rents (% of GDP)\n", - "Statistical=0.877, p=0.002\n", - "GRC-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.712, p=0.000\n", - "GRC-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.777, p=0.000\n", - "GRC-Commercial service exports (current US$)\n", - "Statistical=0.884, p=0.002\n", - "GRC-Commercial service imports (current US$)\n", - "Statistical=0.920, p=0.021\n", - "GRC-Completeness of birth registration (%)\n", - "Statistical=0.850, p=0.000\n", - "GRC-Consumer price index (2010 = 100)\n", - "Statistical=0.907, p=0.009\n", - "GRC-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.914, p=0.014\n", - "GRC-Crop production index (2014-2016 = 100)\n", - "Statistical=0.867, p=0.001\n", - "GRC-Current account balance (% of GDP)\n", - "Statistical=0.878, p=0.002\n", - "GRC-Current account balance (BoP, current US$)\n", - "Statistical=0.960, p=0.267\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Current health expenditure (% of GDP)\n", - "Statistical=0.899, p=0.006\n", - "GRC-Current health expenditure per capita (current US$)\n", - "Statistical=0.899, p=0.006\n", - "GRC-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.885, p=0.003\n", - "GRC-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.928, p=0.034\n", - "GRC-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.907, p=0.010\n", - "GRC-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.895, p=0.005\n", - "GRC-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.953, p=0.180\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.826, p=0.000\n", - "GRC-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.926, p=0.030\n", - "GRC-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.758, p=0.000\n", - "GRC-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.914, p=0.015\n", - "GRC-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.931, p=0.043\n", - "GRC-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.931, p=0.043\n", - "GRC-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.852, p=0.000\n", - "GRC-Electric power consumption (kWh per capita)\n", - "Statistical=0.862, p=0.001\n", - "GRC-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.921, p=0.022\n", - "GRC-Electricity production from coal sources (% of total)\n", - "Statistical=0.862, p=0.001\n", - "GRC-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.792, p=0.000\n", - "GRC-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.846, p=0.000\n", - "GRC-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.924, p=0.027\n", - "GRC-Electricity production from oil sources (% of total)\n", - "Statistical=0.925, p=0.029\n", - "GRC-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.852, p=0.000\n", - "GRC-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.759, p=0.000\n", - "GRC-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.926, p=0.030\n", - "GRC-Export unit value index (2000 = 100)\n", - "Statistical=0.922, p=0.023\n", - "GRC-Export value index (2000 = 100)\n", - "Statistical=0.754, p=0.000\n", - "GRC-Export volume index (2000 = 100)\n", - "Statistical=0.773, p=0.000\n", - "GRC-Exports of goods and services (% of GDP)\n", - "Statistical=0.778, p=0.000\n", - "GRC-Exports of goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Exports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-External balance on goods and services (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-External balance on goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.639, p=0.000\n", - "GRC-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.907, p=0.009\n", - "GRC-Final consumption expenditure (% of GDP)\n", - "Statistical=0.907, p=0.009\n", - "GRC-Final consumption expenditure (current US$)\n", - "Statistical=0.916, p=0.016\n", - "GRC-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.923, p=0.025\n", - "GRC-Firms offering formal training (% of firms)\n", - "Statistical=0.916, p=0.016\n", - "GRC-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.850, p=0.000\n", - "GRC-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.892, p=0.004\n", - "GRC-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.857, p=0.001\n", - "GRC-Fixed broadband subscriptions\n", - "Statistical=0.948, p=0.125\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.913, p=0.013\n", - "GRC-Fixed telephone subscriptions\n", - "Statistical=0.922, p=0.024\n", - "GRC-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.882, p=0.002\n", - "GRC-Food exports (% of merchandise exports)\n", - "Statistical=0.862, p=0.001\n", - "GRC-Food imports (% of merchandise imports)\n", - "Statistical=0.899, p=0.006\n", - "GRC-Food production index (2014-2016 = 100)\n", - "Statistical=0.872, p=0.001\n", - "GRC-Forest area (% of land area)\n", - "Statistical=0.922, p=0.024\n", - "GRC-Forest area (sq. km)\n", - "Statistical=0.875, p=0.002\n", - "GRC-Forest rents (% of GDP)\n", - "Statistical=0.888, p=0.003\n", - "GRC-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.767, p=0.000\n", - "GRC-Fuel exports (% of merchandise exports)\n", - "Statistical=0.826, p=0.000\n", - "GRC-Fuel imports (% of merchandise imports)\n", - "Statistical=0.711, p=0.000\n", - "GRC-GDP (current US$)\n", - "Statistical=0.921, p=0.022\n", - "GRC-GDP deflator (base year varies by country)\n", - "Statistical=0.954, p=0.188\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.958, p=0.238\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-GDP growth (annual %)\n", - "Statistical=0.977, p=0.706\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-GDP per capita (current US$)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-GDP per capita growth (annual %)\n", - "Statistical=0.873, p=0.001\n", - "GRC-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.890, p=0.004\n", - "GRC-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.778, p=0.000\n", - "GRC-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.858, p=0.001\n", - "GRC-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.712, p=0.000\n", - "GRC-GNI (current US$)\n", - "Statistical=0.743, p=0.000\n", - "GRC-GNI growth (annual %)\n", - "Statistical=0.813, p=0.000\n", - "GRC-GNI per capita growth (annual %)\n", - "Statistical=0.689, p=0.000\n", - "GRC-General government final consumption expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-General government final consumption expenditure (current US$)\n", - "Statistical=0.868, p=0.001\n", - "GRC-Gini index\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Goods exports (BoP, current US$)\n", - "Statistical=0.891, p=0.004\n", - "GRC-Goods imports (BoP, current US$)\n", - "Statistical=0.882, p=0.002\n", - "GRC-Grants and other revenue (% of revenue)\n", - "Statistical=0.860, p=0.001\n", - "GRC-Gross capital formation (% of GDP)\n", - "Statistical=0.912, p=0.013\n", - "GRC-Gross capital formation (current US$)\n", - "Statistical=0.914, p=0.015\n", - "GRC-Gross domestic savings (% of GDP)\n", - "Statistical=0.675, p=0.000\n", - "GRC-Gross domestic savings (current US$)\n", - "Statistical=0.910, p=0.011\n", - "GRC-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Gross national expenditure (current US$)\n", - "Statistical=0.632, p=0.000\n", - "GRC-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.672, p=0.000\n", - "GRC-Gross savings (% of GDP)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Gross savings (current US$)\n", - "Statistical=0.882, p=0.002\n", - "GRC-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.783, p=0.000\n", - "GRC-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-High-technology exports (% of manufactured exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-High-technology exports (current US$)\n", - "Statistical=0.857, p=0.001\n", - "GRC-Hospital beds (per 1,000 people)\n", - "Statistical=0.927, p=0.033\n", - "GRC-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.883, p=0.002\n", - "GRC-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.763, p=0.000\n", - "GRC-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.763, p=0.000\n", - "GRC-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.763, p=0.000\n", - "GRC-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.927, p=0.032\n", - "GRC-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.905, p=0.008\n", - "GRC-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.948, p=0.128\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.509, p=0.000\n", - "GRC-ICT goods exports (% of total goods exports)\n", - "Statistical=0.855, p=0.001\n", - "GRC-ICT goods imports (% total goods imports)\n", - "Statistical=0.614, p=0.000\n", - "GRC-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.892, p=0.004\n", - "GRC-ICT service exports (BoP, current US$)\n", - "Statistical=0.873, p=0.001\n", - "GRC-Import unit value index (2000 = 100)\n", - "Statistical=0.864, p=0.001\n", - "GRC-Import value index (2000 = 100)\n", - "Statistical=0.792, p=0.000\n", - "GRC-Import volume index (2000 = 100)\n", - "Statistical=0.901, p=0.006\n", - "GRC-Imports of goods and services (% of GDP)\n", - "Statistical=0.970, p=0.509\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.812, p=0.000\n", - "GRC-Imports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "GRC-Income share held by highest 10%\n", - "Statistical=0.873, p=0.001\n", - "GRC-Income share held by highest 20%\n", - "Statistical=0.702, p=0.000\n", - "GRC-Income share held by lowest 10%\n", - "Statistical=0.833, p=0.000\n", - "GRC-Income share held by lowest 20%\n", - "Statistical=0.833, p=0.000\n", - "GRC-Income share held by second 20%\n", - "Statistical=0.893, p=0.004\n", - "GRC-Income share held by third 20%\n", - "Statistical=0.860, p=0.001\n", - "GRC-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.820, p=0.000\n", - "GRC-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.870, p=0.001\n", - "GRC-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.861, p=0.001\n", - "GRC-Individuals using the Internet (% of population)\n", - "Statistical=0.840, p=0.000\n", - "GRC-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.817, p=0.000\n", - "GRC-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.474, p=0.000\n", - "GRC-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.804, p=0.000\n", - "GRC-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.789, p=0.000\n", - "GRC-Intentional homicides (per 100,000 people)\n", - "Statistical=0.800, p=0.000\n", - "GRC-Interest payments (% of revenue)\n", - "Statistical=0.785, p=0.000\n", - "GRC-International migrant stock (% of population)\n", - "Statistical=0.793, p=0.000\n", - "GRC-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.806, p=0.000\n", - "GRC-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.778, p=0.000\n", - "GRC-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.689, p=0.000\n", - "GRC-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.760, p=0.000\n", - "GRC-Land area (sq. km)\n", - "Statistical=0.802, p=0.000\n", - "GRC-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.770, p=0.000\n", - "GRC-Land under cereal production (hectares)\n", - "Statistical=0.791, p=0.000\n", - "GRC-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.886, p=0.003\n", - "GRC-Lifetime risk of maternal death (%)\n", - "Statistical=0.933, p=0.046\n", - "GRC-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.901, p=0.007\n", - "GRC-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.847, p=0.000\n", - "GRC-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.912, p=0.013\n", - "GRC-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.882, p=0.002\n", - "GRC-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.792, p=0.000\n", - "GRC-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.790, p=0.000\n", - "GRC-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.918, p=0.018\n", - "GRC-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.967, p=0.423\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Low-birthweight babies (% of births)\n", - "Statistical=0.962, p=0.318\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Lower secondary school starting age (years)\n", - "Statistical=0.830, p=0.000\n", - "GRC-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.836, p=0.000\n", - "GRC-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.882, p=0.002\n", - "GRC-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.818, p=0.000\n", - "GRC-Marine protected areas (% of territorial waters)\n", - "Statistical=0.885, p=0.003\n", - "GRC-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.770, p=0.000\n", - "GRC-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.910, p=0.011\n", - "GRC-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.841, p=0.000\n", - "GRC-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.902, p=0.007\n", - "GRC-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.959, p=0.254\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.961, p=0.295\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Merchandise exports (current US$)\n", - "Statistical=0.769, p=0.000\n", - "GRC-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.789, p=0.000\n", - "GRC-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.933, p=0.046\n", - "GRC-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.849, p=0.000\n", - "GRC-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.864, p=0.001\n", - "GRC-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.830, p=0.000\n", - "GRC-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.837, p=0.000\n", - "GRC-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.830, p=0.000\n", - "GRC-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.839, p=0.000\n", - "GRC-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Merchandise imports (current US$)\n", - "Statistical=0.851, p=0.000\n", - "GRC-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.810, p=0.000\n", - "GRC-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.851, p=0.000\n", - "GRC-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.877, p=0.002\n", - "GRC-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.769, p=0.000\n", - "GRC-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.863, p=0.001\n", - "GRC-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.828, p=0.000\n", - "GRC-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.792, p=0.000\n", - "GRC-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.915, p=0.015\n", - "GRC-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.884, p=0.003\n", - "GRC-Merchandise trade (% of GDP)\n", - "Statistical=0.947, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Methane emissions (% change from 1990)\n", - "Statistical=0.929, p=0.037\n", - "GRC-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.929, p=0.037\n", - "GRC-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.929, p=0.036\n", - "GRC-Military expenditure (% of GDP)\n", - "Statistical=0.892, p=0.004\n", - "GRC-Military expenditure (% of general government expenditure)\n", - "Statistical=0.877, p=0.002\n", - "GRC-Military expenditure (current USD)\n", - "Statistical=0.889, p=0.003\n", - "GRC-Mineral rents (% of GDP)\n", - "Statistical=0.957, p=0.228\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Mobile cellular subscriptions\n", - "Statistical=0.920, p=0.021\n", - "GRC-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.927, p=0.033\n", - "GRC-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Natural gas rents (% of GDP)\n", - "Statistical=0.940, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.933, p=0.049\n", - "GRC-Net capital account (BoP, current US$)\n", - "Statistical=0.970, p=0.494\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.893, p=0.004\n", - "GRC-Net financial account (BoP, current US$)\n", - "Statistical=0.897, p=0.005\n", - "GRC-Net migration\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Net primary income (BoP, current US$)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Net secondary income (BoP, current US$)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.759, p=0.000\n", - "GRC-Net trade in goods (BoP, current US$)\n", - "Statistical=0.759, p=0.000\n", - "GRC-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.759, p=0.000\n", - "GRC-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.759, p=0.000\n", - "GRC-New businesses registered (number)\n", - "Statistical=0.759, p=0.000\n", - "GRC-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.780, p=0.000\n", - "GRC-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.781, p=0.000\n", - "GRC-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.956, p=0.209\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Number of deaths ages 10-14 years\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Number of deaths ages 15-19 years\n", - "Statistical=0.909, p=0.011\n", - "GRC-Number of deaths ages 20-24 years\n", - "Statistical=0.970, p=0.498\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Number of deaths ages 5-9 years\n", - "Statistical=0.963, p=0.329\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Number of infant deaths\n", - "Statistical=0.905, p=0.008\n", - "GRC-Number of maternal deaths\n", - "Statistical=0.944, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Number of neonatal deaths\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Number of under-five deaths\n", - "Statistical=0.928, p=0.034\n", - "GRC-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.977, p=0.724\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.952, p=0.167\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Oil rents (% of GDP)\n", - "Statistical=0.845, p=0.000\n", - "GRC-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.845, p=0.000\n", - "GRC-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.904, p=0.008\n", - "GRC-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.788, p=0.000\n", - "GRC-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.860, p=0.001\n", - "GRC-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.933, p=0.049\n", - "GRC-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.930, p=0.039\n", - "GRC-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.930, p=0.039\n", - "GRC-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-People using at least basic drinking water services (% of population)\n", - "Statistical=0.945, p=0.107\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-People using at least basic sanitation services (% of population)\n", - "Statistical=0.848, p=0.000\n", - "GRC-People using safely managed sanitation services (% of population)\n", - "Statistical=0.848, p=0.000\n", - "GRC-Permanent cropland (% of land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Physicians (per 1,000 people)\n", - "Statistical=0.917, p=0.017\n", - "GRC-Population ages 0-14 (% of total population)\n", - "Statistical=0.917, p=0.017\n", - "GRC-Population ages 15-64 (% of total population)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Population ages 65 and above (% of total population)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Population density (people per sq. km of land area)\n", - "Statistical=0.913, p=0.013\n", - "GRC-Population growth (annual %)\n", - "Statistical=0.917, p=0.017\n", - "GRC-Population in largest city\n", - "Statistical=0.890, p=0.003\n", - "GRC-Population in the largest city (% of urban population)\n", - "Statistical=0.921, p=0.022\n", - "GRC-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.878, p=0.002\n", - "GRC-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.882, p=0.002\n", - "GRC-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.930, p=0.039\n", - "GRC-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.892, p=0.004\n", - "GRC-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=0.898, p=0.006\n", - "GRC-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.715, p=0.000\n", - "GRC-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.715, p=0.000\n", - "GRC-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.824, p=0.000\n", - "GRC-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.857, p=0.001\n", - "GRC-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.688, p=0.000\n", - "GRC-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.713, p=0.000\n", - "GRC-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.713, p=0.000\n", - "GRC-Prevalence of undernourishment (% of population)\n", - "Statistical=0.824, p=0.000\n", - "GRC-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.661, p=0.000\n", - "GRC-Primary income payments (BoP, current US$)\n", - "Statistical=0.841, p=0.000\n", - "GRC-Primary income receipts (BoP, current US$)\n", - "Statistical=0.713, p=0.000\n", - "GRC-Primary school starting age (years)\n", - "Statistical=0.836, p=0.000\n", - "GRC-Private credit bureau coverage (% of adults)\n", - "Statistical=0.840, p=0.000\n", - "GRC-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.715, p=0.000\n", - "GRC-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.864, p=0.001\n", - "GRC-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.824, p=0.000\n", - "GRC-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.962, p=0.309\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Procedures to build a warehouse (number)\n", - "Statistical=0.947, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Procedures to register property (number)\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Profit tax (% of commercial profits)\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Progression to secondary school (%)\n", - "Statistical=0.947, p=0.120\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.934, p=0.049\n", - "GRC-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.913, p=0.013\n", - "GRC-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.886, p=0.003\n", - "GRC-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.925, p=0.028\n", - "GRC-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.857, p=0.001\n", - "GRC-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.818, p=0.000\n", - "GRC-Public credit registry coverage (% of adults)\n", - "Statistical=0.478, p=0.000\n", - "GRC-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.796, p=0.000\n", - "GRC-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.730, p=0.000\n", - "GRC-Rail lines (total route-km)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Refugee population by country or territory of asylum\n", - "Statistical=0.852, p=0.000\n", - "GRC-Refugee population by country or territory of origin\n", - "Statistical=0.991, p=0.995\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.901, p=0.007\n", - "GRC-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.901, p=0.007\n", - "GRC-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.894, p=0.004\n", - "GRC-Research and development expenditure (% of GDP)\n", - "Statistical=0.803, p=0.000\n", - "GRC-Researchers in R&D (per million people)\n", - "Statistical=0.933, p=0.048\n", - "GRC-Reserves and related items (BoP, current US$)\n", - "Statistical=0.893, p=0.004\n", - "GRC-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.955, p=0.196\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Rural land area (sq. km)\n", - "Statistical=0.919, p=0.019\n", - "GRC-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.823, p=0.000\n", - "GRC-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.979, p=0.776\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Rural population\n", - "Statistical=0.877, p=0.002\n", - "GRC-Rural population (% of total population)\n", - "Statistical=0.877, p=0.002\n", - "GRC-Rural population growth (annual %)\n", - "Statistical=0.882, p=0.002\n", - "GRC-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.805, p=0.000\n", - "GRC-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.921, p=0.022\n", - "GRC-Scientific and technical journal articles\n", - "Statistical=0.909, p=0.011\n", - "GRC-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Secure Internet servers\n", - "Statistical=0.894, p=0.004\n", - "GRC-Secure Internet servers (per 1 million people)\n", - "Statistical=0.906, p=0.009\n", - "GRC-Service exports (BoP, current US$)\n", - "Statistical=0.906, p=0.009\n", - "GRC-Service imports (BoP, current US$)\n", - "Statistical=0.954, p=0.190\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Sex ratio at birth (male births per female births)\n", - "Statistical=0.932, p=0.043\n", - "GRC-Social contributions (% of revenue)\n", - "Statistical=0.859, p=0.001\n", - "GRC-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.753, p=0.000\n", - "GRC-Start-up procedures to register a business (number)\n", - "Statistical=0.758, p=0.000\n", - "GRC-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.747, p=0.000\n", - "GRC-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.705, p=0.000\n", - "GRC-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.933, p=0.047\n", - "GRC-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.901, p=0.007\n", - "GRC-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.762, p=0.000\n", - "GRC-Surface area (sq. km)\n", - "Statistical=0.699, p=0.000\n", - "GRC-Tax payments (number)\n", - "Statistical=0.855, p=0.001\n", - "GRC-Tax revenue (% of GDP)\n", - "Statistical=0.906, p=0.009\n", - "GRC-Taxes less subsidies on products (current US$)\n", - "Statistical=0.957, p=0.221\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Taxes on goods and services (% of revenue)\n", - "Statistical=0.957, p=0.221\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.947, p=0.119\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.949, p=0.137\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.903, p=0.007\n", - "GRC-Time required to build a warehouse (days)\n", - "Statistical=0.957, p=0.221\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Time required to enforce a contract (days)\n", - "Statistical=0.893, p=0.004\n", - "GRC-Time required to get electricity (days)\n", - "Statistical=0.957, p=0.231\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Time required to register property (days)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Time required to start a business (days)\n", - "Statistical=0.675, p=0.000\n", - "GRC-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.682, p=0.000\n", - "GRC-Time to obtain an electrical connection (days)\n", - "Statistical=0.682, p=0.000\n", - "GRC-Time to prepare and pay taxes (hours)\n", - "Statistical=0.683, p=0.000\n", - "GRC-Time to resolve insolvency (years)\n", - "Statistical=0.678, p=0.000\n", - "GRC-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.678, p=0.000\n", - "GRC-Total fisheries production (metric tons)\n", - "Statistical=0.681, p=0.000\n", - "GRC-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.676, p=0.000\n", - "GRC-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.673, p=0.000\n", - "GRC-Total natural resources rents (% of GDP)\n", - "Statistical=0.895, p=0.005\n", - "GRC-Total reserves (includes gold, current US$)\n", - "Statistical=0.868, p=0.001\n", - "GRC-Total reserves in months of imports\n", - "Statistical=0.864, p=0.001\n", - "GRC-Total reserves minus gold (current US$)\n", - "Statistical=0.851, p=0.000\n", - "GRC-Total tax and contribution rate (% of profit)\n", - "Statistical=0.795, p=0.000\n", - "GRC-Trade (% of GDP)\n", - "Statistical=0.663, p=0.000\n", - "GRC-Trade in services (% of GDP)\n", - "Statistical=0.833, p=0.000\n", - "GRC-Transport services (% of commercial service exports)\n", - "Statistical=0.854, p=0.001\n", - "GRC-Transport services (% of commercial service imports)\n", - "Statistical=0.901, p=0.007\n", - "GRC-Transport services (% of service exports, BoP)\n", - "Statistical=0.902, p=0.007\n", - "GRC-Transport services (% of service imports, BoP)\n", - "Statistical=0.960, p=0.276\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Travel services (% of commercial service exports)\n", - "Statistical=0.926, p=0.030\n", - "GRC-Travel services (% of commercial service imports)\n", - "Statistical=0.977, p=0.701\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Travel services (% of service exports, BoP)\n", - "Statistical=0.916, p=0.016\n", - "GRC-Travel services (% of service imports, BoP)\n", - "Statistical=0.916, p=0.016\n", - "GRC-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.916, p=0.016\n", - "GRC-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-UHC service coverage index\n", - "Statistical=0.932, p=0.044\n", - "GRC-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.840, p=0.000\n", - "GRC-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.952, p=0.163\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.905, p=0.009\n", - "GRC-Urban land area (sq. km)\n", - "Statistical=0.899, p=0.006\n", - "GRC-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.864, p=0.001\n", - "GRC-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.859, p=0.001\n", - "GRC-Urban population\n", - "Statistical=0.918, p=0.019\n", - "GRC-Urban population (% of total population)\n", - "Statistical=0.897, p=0.005\n", - "GRC-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-GDP (current US$)+2\n", - "Statistical=0.650, p=0.000\n", - "GRC-GDP (current US$)+3\n", - "Statistical=0.705, p=0.000\n", - "GRC-GDP (current US$)+5\n", - "Statistical=0.861, p=0.001\n", - "GRC-GDP (current US$)+8\n", - "Statistical=0.960, p=0.281\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-GDP (current US$)+13\n", - "Statistical=0.883, p=0.002\n", - "GRC-GDP (current US$)+21\n", - "Statistical=0.883, p=0.002\n", - "GRC-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.917, p=0.017\n", - "GRC-Deposit interest rate (%)\n", - "Statistical=0.775, p=0.000\n", - "GRC-Other taxes (% of revenue)\n", - "Statistical=0.888, p=0.003\n", - "GRC-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.852, p=0.000\n", - "GRC-Taxes on international trade (% of revenue)\n", - "Statistical=0.852, p=0.000\n", - "GRC-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.911, p=0.012\n", - "GRC-Broad money (% of GDP)\n", - "Statistical=0.929, p=0.037\n", - "GRC-Broad money growth (annual %)\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Broad money to total reserves ratio\n", - "Statistical=0.928, p=0.035\n", - "GRC-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.958, p=0.236\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.887, p=0.003\n", - "GRC-External health expenditure (% of current health expenditure)\n", - "Statistical=0.960, p=0.271\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-External health expenditure per capita (current US$)\n", - "Statistical=0.485, p=0.000\n", - "GRC-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.779, p=0.000\n", - "GRC-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.782, p=0.000\n", - "GRC-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.886, p=0.003\n", - "GRC-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.874, p=0.001\n", - "GRC-People practicing open defecation (% of population)\n", - "Statistical=0.799, p=0.000\n", - "GRC-Taxes on exports (% of tax revenue)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.897, p=0.005\n", - "GRC-Country\n", - "Statistical=0.970, p=0.489\n", - "Data is NORMAL ( H0 not denied )\n", - "GRC-Year\n", - "Statistical=0.916, p=0.017\n", - "GRC-Continent\n", - "Statistical=0.767, p=0.000\n", - "AUT-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.609, p=0.000\n", - "AUT-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.610, p=0.000\n", - "AUT-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.566, p=0.000\n", - "AUT-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.585, p=0.000\n", - "AUT-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.614, p=0.000\n", - "AUT-Age dependency ratio (% of working-age population)\n", - "Statistical=0.611, p=0.000\n", - "AUT-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.600, p=0.000\n", - "AUT-Agricultural land (% of land area)\n", - "Statistical=0.583, p=0.000\n", - "AUT-Agricultural land (sq. km)\n", - "Statistical=0.463, p=0.000\n", - "AUT-Agricultural methane emissions (% of total)\n", - "Statistical=0.833, p=0.000\n", - "AUT-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.862, p=0.001\n", - "AUT-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.736, p=0.000\n", - "AUT-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.976, p=0.688\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.924, p=0.027\n", - "AUT-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.849, p=0.000\n", - "AUT-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.957, p=0.231\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Aquaculture production (metric tons)\n", - "Statistical=0.877, p=0.002\n", - "AUT-Arable land (% of land area)\n", - "Statistical=0.855, p=0.001\n", - "AUT-Arable land (hectares per person)\n", - "Statistical=0.855, p=0.001\n", - "AUT-Arable land (hectares)\n", - "Statistical=0.793, p=0.000\n", - "AUT-Armed forces personnel (% of total labor force)\n", - "Statistical=0.828, p=0.000\n", - "AUT-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.793, p=0.000\n", - "AUT-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.965, p=0.373\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Average precipitation in depth (mm per year)\n", - "Statistical=0.921, p=0.022\n", - "AUT-Average time to clear exports through customs (days)\n", - "Statistical=0.866, p=0.001\n", - "AUT-Births attended by skilled health staff (% of total)\n", - "Statistical=0.976, p=0.688\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.869, p=0.001\n", - "AUT-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.958, p=0.247\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.900, p=0.006\n", - "AUT-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.772, p=0.000\n", - "AUT-CO2 emissions (kt)\n", - "Statistical=0.915, p=0.015\n", - "AUT-CO2 emissions (metric tons per capita)\n", - "Statistical=0.851, p=0.000\n", - "AUT-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.953, p=0.173\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.857, p=0.001\n", - "AUT-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.727, p=0.000\n", - "AUT-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.869, p=0.001\n", - "AUT-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.956, p=0.210\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.927, p=0.033\n", - "AUT-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.920, p=0.021\n", - "AUT-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.930, p=0.040\n", - "AUT-Capture fisheries production (metric tons)\n", - "Statistical=0.949, p=0.131\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Cereal production (metric tons)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Cereal yield (kg per hectare)\n", - "Statistical=0.853, p=0.000\n", - "AUT-Changes in inventories (current US$)\n", - "Statistical=0.891, p=0.004\n", - "AUT-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.867, p=0.001\n", - "AUT-Children out of school (% of primary school age)\n", - "Statistical=0.917, p=0.017\n", - "AUT-Coal rents (% of GDP)\n", - "Statistical=0.917, p=0.017\n", - "AUT-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.686, p=0.000\n", - "AUT-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.849, p=0.000\n", - "AUT-Commercial service exports (current US$)\n", - "Statistical=0.826, p=0.000\n", - "AUT-Commercial service imports (current US$)\n", - "Statistical=0.802, p=0.000\n", - "AUT-Completeness of birth registration (%)\n", - "Statistical=0.841, p=0.000\n", - "AUT-Consumer price index (2010 = 100)\n", - "Statistical=0.903, p=0.007\n", - "AUT-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.842, p=0.000\n", - "AUT-Crop production index (2014-2016 = 100)\n", - "Statistical=0.953, p=0.176\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Current account balance (% of GDP)\n", - "Statistical=0.866, p=0.001\n", - "AUT-Current account balance (BoP, current US$)\n", - "Statistical=0.951, p=0.152\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Current health expenditure (% of GDP)\n", - "Statistical=0.952, p=0.164\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Current health expenditure per capita (current US$)\n", - "Statistical=0.952, p=0.164\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.960, p=0.271\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.980, p=0.785\n", - "Data is NORMAL ( H0 not denied )\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "AUT-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.920, p=0.021\n", - "AUT-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.933, p=0.047\n", - "AUT-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.910, p=0.011\n", - "AUT-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.899, p=0.006\n", - "AUT-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.783, p=0.000\n", - "AUT-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.815, p=0.000\n", - "AUT-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.863, p=0.001\n", - "AUT-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.826, p=0.000\n", - "AUT-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.826, p=0.000\n", - "AUT-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Electric power consumption (kWh per capita)\n", - "Statistical=0.961, p=0.283\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.953, p=0.172\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Electricity production from coal sources (% of total)\n", - "Statistical=0.961, p=0.284\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.892, p=0.004\n", - "AUT-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.888, p=0.003\n", - "AUT-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.877, p=0.002\n", - "AUT-Electricity production from oil sources (% of total)\n", - "Statistical=0.768, p=0.000\n", - "AUT-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.666, p=0.000\n", - "AUT-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.772, p=0.000\n", - "AUT-Export unit value index (2000 = 100)\n", - "Statistical=0.888, p=0.003\n", - "AUT-Export value index (2000 = 100)\n", - "Statistical=0.754, p=0.000\n", - "AUT-Export volume index (2000 = 100)\n", - "Statistical=0.773, p=0.000\n", - "AUT-Exports of goods and services (% of GDP)\n", - "Statistical=0.778, p=0.000\n", - "AUT-Exports of goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Exports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-External balance on goods and services (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-External balance on goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.917, p=0.017\n", - "AUT-Final consumption expenditure (% of GDP)\n", - "Statistical=0.916, p=0.016\n", - "AUT-Final consumption expenditure (current US$)\n", - "Statistical=0.926, p=0.031\n", - "AUT-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.930, p=0.039\n", - "AUT-Firms offering formal training (% of firms)\n", - "Statistical=0.918, p=0.019\n", - "AUT-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.943, p=0.091\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.929, p=0.037\n", - "AUT-Fixed broadband subscriptions\n", - "Statistical=0.956, p=0.215\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.929, p=0.037\n", - "AUT-Fixed telephone subscriptions\n", - "Statistical=0.926, p=0.030\n", - "AUT-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.824, p=0.000\n", - "AUT-Food exports (% of merchandise exports)\n", - "Statistical=0.872, p=0.001\n", - "AUT-Food imports (% of merchandise imports)\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Food production index (2014-2016 = 100)\n", - "Statistical=0.914, p=0.014\n", - "AUT-Forest area (% of land area)\n", - "Statistical=0.908, p=0.010\n", - "AUT-Forest area (sq. km)\n", - "Statistical=0.856, p=0.001\n", - "AUT-Forest rents (% of GDP)\n", - "Statistical=0.826, p=0.000\n", - "AUT-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.758, p=0.000\n", - "AUT-Fuel exports (% of merchandise exports)\n", - "Statistical=0.687, p=0.000\n", - "AUT-Fuel imports (% of merchandise imports)\n", - "Statistical=0.733, p=0.000\n", - "AUT-GDP (current US$)\n", - "Statistical=0.913, p=0.013\n", - "AUT-GDP deflator (base year varies by country)\n", - "Statistical=0.953, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.958, p=0.246\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-GDP growth (annual %)\n", - "Statistical=0.947, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-GDP per capita (current US$)\n", - "Statistical=0.801, p=0.000\n", - "AUT-GDP per capita growth (annual %)\n", - "Statistical=0.786, p=0.000\n", - "AUT-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.977, p=0.717\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.771, p=0.000\n", - "AUT-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.769, p=0.000\n", - "AUT-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.762, p=0.000\n", - "AUT-GNI (current US$)\n", - "Statistical=0.777, p=0.000\n", - "AUT-GNI growth (annual %)\n", - "Statistical=0.785, p=0.000\n", - "AUT-GNI per capita growth (annual %)\n", - "Statistical=0.751, p=0.000\n", - "AUT-General government final consumption expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-General government final consumption expenditure (current US$)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Gini index\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Goods exports (BoP, current US$)\n", - "Statistical=0.714, p=0.000\n", - "AUT-Goods imports (BoP, current US$)\n", - "Statistical=0.800, p=0.000\n", - "AUT-Grants and other revenue (% of revenue)\n", - "Statistical=0.899, p=0.006\n", - "AUT-Gross capital formation (% of GDP)\n", - "Statistical=0.791, p=0.000\n", - "AUT-Gross capital formation (current US$)\n", - "Statistical=0.750, p=0.000\n", - "AUT-Gross domestic savings (% of GDP)\n", - "Statistical=0.804, p=0.000\n", - "AUT-Gross domestic savings (current US$)\n", - "Statistical=0.789, p=0.000\n", - "AUT-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Gross national expenditure (current US$)\n", - "Statistical=0.602, p=0.000\n", - "AUT-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.807, p=0.000\n", - "AUT-Gross savings (% of GDP)\n", - "Statistical=0.790, p=0.000\n", - "AUT-Gross savings (current US$)\n", - "Statistical=0.960, p=0.268\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.615, p=0.000\n", - "AUT-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.729, p=0.000\n", - "AUT-High-technology exports (% of manufactured exports)\n", - "Statistical=0.834, p=0.000\n", - "AUT-High-technology exports (current US$)\n", - "Statistical=0.894, p=0.004\n", - "AUT-Hospital beds (per 1,000 people)\n", - "Statistical=0.918, p=0.019\n", - "AUT-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.811, p=0.000\n", - "AUT-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.811, p=0.000\n", - "AUT-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.811, p=0.000\n", - "AUT-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.933, p=0.047\n", - "AUT-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.818, p=0.000\n", - "AUT-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.777, p=0.000\n", - "AUT-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.889, p=0.003\n", - "AUT-ICT goods exports (% of total goods exports)\n", - "Statistical=0.834, p=0.000\n", - "AUT-ICT goods imports (% total goods imports)\n", - "Statistical=0.858, p=0.001\n", - "AUT-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.808, p=0.000\n", - "AUT-ICT service exports (BoP, current US$)\n", - "Statistical=0.788, p=0.000\n", - "AUT-Import unit value index (2000 = 100)\n", - "Statistical=0.838, p=0.000\n", - "AUT-Import value index (2000 = 100)\n", - "Statistical=0.623, p=0.000\n", - "AUT-Import volume index (2000 = 100)\n", - "Statistical=0.700, p=0.000\n", - "AUT-Imports of goods and services (% of GDP)\n", - "Statistical=0.970, p=0.486\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.903, p=0.007\n", - "AUT-Imports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "AUT-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Income share held by highest 20%\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Income share held by lowest 10%\n", - "Statistical=0.952, p=0.161\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Income share held by lowest 20%\n", - "Statistical=0.951, p=0.150\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Income share held by second 20%\n", - "Statistical=0.801, p=0.000\n", - "AUT-Income share held by third 20%\n", - "Statistical=0.883, p=0.002\n", - "AUT-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.848, p=0.000\n", - "AUT-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.789, p=0.000\n", - "AUT-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.836, p=0.000\n", - "AUT-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.883, p=0.002\n", - "AUT-Individuals using the Internet (% of population)\n", - "Statistical=0.789, p=0.000\n", - "AUT-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.839, p=0.000\n", - "AUT-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.554, p=0.000\n", - "AUT-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Intentional homicides (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Interest payments (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-International migrant stock (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.672, p=0.000\n", - "AUT-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.631, p=0.000\n", - "AUT-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.649, p=0.000\n", - "AUT-Land area (sq. km)\n", - "Statistical=0.524, p=0.000\n", - "AUT-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.464, p=0.000\n", - "AUT-Land under cereal production (hectares)\n", - "Statistical=0.527, p=0.000\n", - "AUT-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.830, p=0.000\n", - "AUT-Lifetime risk of maternal death (%)\n", - "Statistical=0.913, p=0.014\n", - "AUT-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.909, p=0.011\n", - "AUT-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.955, p=0.201\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.957, p=0.221\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.908, p=0.010\n", - "AUT-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.933, p=0.046\n", - "AUT-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.821, p=0.000\n", - "AUT-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.826, p=0.000\n", - "AUT-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.929, p=0.036\n", - "AUT-Low-birthweight babies (% of births)\n", - "Statistical=0.967, p=0.412\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Lower secondary school starting age (years)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.927, p=0.033\n", - "AUT-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.882, p=0.002\n", - "AUT-Marine protected areas (% of territorial waters)\n", - "Statistical=0.892, p=0.004\n", - "AUT-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.881, p=0.002\n", - "AUT-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.897, p=0.005\n", - "AUT-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.884, p=0.002\n", - "AUT-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.894, p=0.004\n", - "AUT-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.910, p=0.012\n", - "AUT-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.911, p=0.012\n", - "AUT-Merchandise exports (current US$)\n", - "Statistical=0.962, p=0.321\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.958, p=0.240\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.934, p=0.050\n", - "AUT-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.932, p=0.044\n", - "AUT-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.901, p=0.006\n", - "AUT-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.926, p=0.030\n", - "AUT-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.919, p=0.019\n", - "AUT-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.928, p=0.035\n", - "AUT-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.902, p=0.007\n", - "AUT-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.933, p=0.046\n", - "AUT-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Merchandise imports (current US$)\n", - "Statistical=0.926, p=0.029\n", - "AUT-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.729, p=0.000\n", - "AUT-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.910, p=0.011\n", - "AUT-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.912, p=0.013\n", - "AUT-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.883, p=0.002\n", - "AUT-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.813, p=0.000\n", - "AUT-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.823, p=0.000\n", - "AUT-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.833, p=0.000\n", - "AUT-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.927, p=0.032\n", - "AUT-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.872, p=0.001\n", - "AUT-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.791, p=0.000\n", - "AUT-Merchandise trade (% of GDP)\n", - "Statistical=0.974, p=0.609\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Methane emissions (% change from 1990)\n", - "Statistical=0.925, p=0.028\n", - "AUT-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.925, p=0.028\n", - "AUT-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.925, p=0.029\n", - "AUT-Military expenditure (% of GDP)\n", - "Statistical=0.856, p=0.001\n", - "AUT-Military expenditure (% of general government expenditure)\n", - "Statistical=0.791, p=0.000\n", - "AUT-Military expenditure (current USD)\n", - "Statistical=0.850, p=0.000\n", - "AUT-Mineral rents (% of GDP)\n", - "Statistical=0.864, p=0.001\n", - "AUT-Mobile cellular subscriptions\n", - "Statistical=0.876, p=0.002\n", - "AUT-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.887, p=0.003\n", - "AUT-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Natural gas rents (% of GDP)\n", - "Statistical=0.980, p=0.804\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Net barter terms of trade index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Net capital account (BoP, current US$)\n", - "Statistical=0.966, p=0.399\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.965, p=0.373\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Net financial account (BoP, current US$)\n", - "Statistical=0.943, p=0.093\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Net migration\n", - "Statistical=0.926, p=0.029\n", - "AUT-Net primary income (BoP, current US$)\n", - "Statistical=0.926, p=0.029\n", - "AUT-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Net secondary income (BoP, current US$)\n", - "Statistical=0.853, p=0.000\n", - "AUT-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Net trade in goods (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Net trade in goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-New businesses registered (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.820, p=0.000\n", - "AUT-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.806, p=0.000\n", - "AUT-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Number of deaths ages 10-14 years\n", - "Statistical=0.909, p=0.011\n", - "AUT-Number of deaths ages 15-19 years\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Number of deaths ages 20-24 years\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Number of deaths ages 5-9 years\n", - "Statistical=0.976, p=0.683\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Number of infant deaths\n", - "Statistical=0.925, p=0.028\n", - "AUT-Number of maternal deaths\n", - "Statistical=0.793, p=0.000\n", - "AUT-Number of neonatal deaths\n", - "Statistical=0.949, p=0.135\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Number of under-five deaths\n", - "Statistical=0.932, p=0.046\n", - "AUT-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.931, p=0.043\n", - "AUT-Oil rents (% of GDP)\n", - "Statistical=0.958, p=0.236\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.955, p=0.199\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.971, p=0.523\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.818, p=0.000\n", - "AUT-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.906, p=0.009\n", - "AUT-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.931, p=0.041\n", - "AUT-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.931, p=0.041\n", - "AUT-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.931, p=0.041\n", - "AUT-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.947, p=0.116\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-People using at least basic drinking water services (% of population)\n", - "Statistical=0.854, p=0.000\n", - "AUT-People using at least basic sanitation services (% of population)\n", - "Statistical=0.952, p=0.159\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-People using safely managed sanitation services (% of population)\n", - "Statistical=0.952, p=0.159\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Permanent cropland (% of land area)\n", - "Statistical=0.981, p=0.820\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Physicians (per 1,000 people)\n", - "Statistical=0.889, p=0.003\n", - "AUT-Population ages 0-14 (% of total population)\n", - "Statistical=0.889, p=0.003\n", - "AUT-Population ages 15-64 (% of total population)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Population ages 65 and above (% of total population)\n", - "Statistical=0.853, p=0.000\n", - "AUT-Population density (people per sq. km of land area)\n", - "Statistical=0.966, p=0.407\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Population growth (annual %)\n", - "Statistical=0.889, p=0.003\n", - "AUT-Population in largest city\n", - "Statistical=0.931, p=0.042\n", - "AUT-Population in the largest city (% of urban population)\n", - "Statistical=0.833, p=0.000\n", - "AUT-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.879, p=0.002\n", - "AUT-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.907, p=0.009\n", - "AUT-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.931, p=0.041\n", - "AUT-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.928, p=0.035\n", - "AUT-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.947, p=0.116\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=0.799, p=0.000\n", - "AUT-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.920, p=0.021\n", - "AUT-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.920, p=0.021\n", - "AUT-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.944, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.849, p=0.000\n", - "AUT-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.965, p=0.379\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.882, p=0.002\n", - "AUT-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.882, p=0.002\n", - "AUT-Prevalence of undernourishment (% of population)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.960, p=0.272\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Primary income payments (BoP, current US$)\n", - "Statistical=0.837, p=0.000\n", - "AUT-Primary income receipts (BoP, current US$)\n", - "Statistical=0.882, p=0.002\n", - "AUT-Primary school starting age (years)\n", - "Statistical=0.928, p=0.035\n", - "AUT-Private credit bureau coverage (% of adults)\n", - "Statistical=0.838, p=0.000\n", - "AUT-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.920, p=0.021\n", - "AUT-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.926, p=0.031\n", - "AUT-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.944, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.959, p=0.253\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Procedures to build a warehouse (number)\n", - "Statistical=0.949, p=0.137\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Procedures to register property (number)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Profit tax (% of commercial profits)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Progression to secondary school (%)\n", - "Statistical=0.952, p=0.167\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.872, p=0.001\n", - "AUT-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.950, p=0.144\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.804, p=0.000\n", - "AUT-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.805, p=0.000\n", - "AUT-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.979, p=0.768\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.979, p=0.780\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Public credit registry coverage (% of adults)\n", - "Statistical=0.920, p=0.020\n", - "AUT-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.916, p=0.016\n", - "AUT-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.765, p=0.000\n", - "AUT-Rail lines (total route-km)\n", - "Statistical=0.919, p=0.019\n", - "AUT-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.867, p=0.001\n", - "AUT-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Refugee population by country or territory of asylum\n", - "Statistical=0.943, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Refugee population by country or territory of origin\n", - "Statistical=0.977, p=0.707\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.971, p=0.517\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.971, p=0.517\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Research and development expenditure (% of GDP)\n", - "Statistical=0.896, p=0.005\n", - "AUT-Researchers in R&D (per million people)\n", - "Statistical=0.933, p=0.048\n", - "AUT-Reserves and related items (BoP, current US$)\n", - "Statistical=0.965, p=0.373\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Rural land area (sq. km)\n", - "Statistical=0.873, p=0.001\n", - "AUT-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.928, p=0.035\n", - "AUT-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.973, p=0.582\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Rural population\n", - "Statistical=0.963, p=0.340\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Rural population (% of total population)\n", - "Statistical=0.963, p=0.340\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Rural population growth (annual %)\n", - "Statistical=0.951, p=0.154\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.902, p=0.007\n", - "AUT-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.855, p=0.001\n", - "AUT-Scientific and technical journal articles\n", - "Statistical=0.859, p=0.001\n", - "AUT-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.911, p=0.012\n", - "AUT-Secure Internet servers\n", - "Statistical=0.874, p=0.001\n", - "AUT-Secure Internet servers (per 1 million people)\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Service exports (BoP, current US$)\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Service imports (BoP, current US$)\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Sex ratio at birth (male births per female births)\n", - "Statistical=0.861, p=0.001\n", - "AUT-Social contributions (% of revenue)\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.791, p=0.000\n", - "AUT-Start-up procedures to register a business (number)\n", - "Statistical=0.819, p=0.000\n", - "AUT-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.781, p=0.000\n", - "AUT-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.789, p=0.000\n", - "AUT-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.857, p=0.001\n", - "AUT-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.838, p=0.000\n", - "AUT-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.799, p=0.000\n", - "AUT-Surface area (sq. km)\n", - "Statistical=0.779, p=0.000\n", - "AUT-Tax payments (number)\n", - "Statistical=0.803, p=0.000\n", - "AUT-Tax revenue (% of GDP)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Taxes less subsidies on products (current US$)\n", - "Statistical=0.926, p=0.031\n", - "AUT-Taxes on goods and services (% of revenue)\n", - "Statistical=0.926, p=0.031\n", - "AUT-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.856, p=0.001\n", - "AUT-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.887, p=0.003\n", - "AUT-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.960, p=0.268\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Time required to build a warehouse (days)\n", - "Statistical=0.926, p=0.031\n", - "AUT-Time required to enforce a contract (days)\n", - "Statistical=0.930, p=0.039\n", - "AUT-Time required to get electricity (days)\n", - "Statistical=0.946, p=0.110\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Time required to register property (days)\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Time required to start a business (days)\n", - "Statistical=0.652, p=0.000\n", - "AUT-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.656, p=0.000\n", - "AUT-Time to obtain an electrical connection (days)\n", - "Statistical=0.653, p=0.000\n", - "AUT-Time to prepare and pay taxes (hours)\n", - "Statistical=0.658, p=0.000\n", - "AUT-Time to resolve insolvency (years)\n", - "Statistical=0.647, p=0.000\n", - "AUT-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.652, p=0.000\n", - "AUT-Total fisheries production (metric tons)\n", - "Statistical=0.643, p=0.000\n", - "AUT-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.659, p=0.000\n", - "AUT-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.656, p=0.000\n", - "AUT-Total natural resources rents (% of GDP)\n", - "Statistical=0.837, p=0.000\n", - "AUT-Total reserves (includes gold, current US$)\n", - "Statistical=0.795, p=0.000\n", - "AUT-Total reserves in months of imports\n", - "Statistical=0.785, p=0.000\n", - "AUT-Total reserves minus gold (current US$)\n", - "Statistical=0.780, p=0.000\n", - "AUT-Total tax and contribution rate (% of profit)\n", - "Statistical=0.948, p=0.128\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Trade (% of GDP)\n", - "Statistical=0.794, p=0.000\n", - "AUT-Trade in services (% of GDP)\n", - "Statistical=0.892, p=0.004\n", - "AUT-Transport services (% of commercial service exports)\n", - "Statistical=0.801, p=0.000\n", - "AUT-Transport services (% of commercial service imports)\n", - "Statistical=0.824, p=0.000\n", - "AUT-Transport services (% of service exports, BoP)\n", - "Statistical=0.823, p=0.000\n", - "AUT-Transport services (% of service imports, BoP)\n", - "Statistical=0.914, p=0.014\n", - "AUT-Travel services (% of commercial service exports)\n", - "Statistical=0.788, p=0.000\n", - "AUT-Travel services (% of commercial service imports)\n", - "Statistical=0.963, p=0.338\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Travel services (% of service exports, BoP)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Travel services (% of service imports, BoP)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.930, p=0.040\n", - "AUT-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.861, p=0.001\n", - "AUT-UHC service coverage index\n", - "Statistical=0.795, p=0.000\n", - "AUT-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.866, p=0.001\n", - "AUT-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.913, p=0.013\n", - "AUT-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Urban land area (sq. km)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.904, p=0.008\n", - "AUT-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.841, p=0.000\n", - "AUT-Urban population\n", - "Statistical=0.890, p=0.003\n", - "AUT-Urban population (% of total population)\n", - "Statistical=0.866, p=0.001\n", - "AUT-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=0.846, p=0.000\n", - "AUT-GDP (current US$)+2\n", - "Statistical=0.783, p=0.000\n", - "AUT-GDP (current US$)+3\n", - "Statistical=0.893, p=0.004\n", - "AUT-GDP (current US$)+5\n", - "Statistical=0.879, p=0.002\n", - "AUT-GDP (current US$)+8\n", - "Statistical=0.957, p=0.226\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-GDP (current US$)+13\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-GDP (current US$)+21\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.954, p=0.188\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Deposit interest rate (%)\n", - "Statistical=0.864, p=0.001\n", - "AUT-Other taxes (% of revenue)\n", - "Statistical=0.880, p=0.002\n", - "AUT-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.980, p=0.798\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Taxes on international trade (% of revenue)\n", - "Statistical=0.980, p=0.798\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.978, p=0.733\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Broad money (% of GDP)\n", - "Statistical=0.768, p=0.000\n", - "AUT-Broad money growth (annual %)\n", - "Statistical=0.788, p=0.000\n", - "AUT-Broad money to total reserves ratio\n", - "Statistical=0.768, p=0.000\n", - "AUT-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.788, p=0.000\n", - "AUT-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.963, p=0.334\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.957, p=0.222\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-External health expenditure (% of current health expenditure)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-External health expenditure per capita (current US$)\n", - "Statistical=0.556, p=0.000\n", - "AUT-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.904, p=0.008\n", - "AUT-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.905, p=0.008\n", - "AUT-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.388, p=0.000\n", - "AUT-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.825, p=0.000\n", - "AUT-People practicing open defecation (% of population)\n", - "Statistical=0.824, p=0.000\n", - "AUT-Taxes on exports (% of tax revenue)\n", - "Statistical=0.945, p=0.102\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data is NORMAL ( H0 not denied )\n", - "AUT-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.880, p=0.002\n", - "AUT-Country\n", - "Statistical=0.432, p=0.000\n", - "AUT-Year\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "AUT-Continent\n", - "Statistical=0.880, p=0.002\n", - "NLD-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.621, p=0.000\n", - "NLD-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.617, p=0.000\n", - "NLD-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.607, p=0.000\n", - "NLD-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.613, p=0.000\n", - "NLD-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.718, p=0.000\n", - "NLD-Age dependency ratio (% of working-age population)\n", - "Statistical=0.603, p=0.000\n", - "NLD-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.604, p=0.000\n", - "NLD-Agricultural land (% of land area)\n", - "Statistical=0.607, p=0.000\n", - "NLD-Agricultural land (sq. km)\n", - "Statistical=0.673, p=0.000\n", - "NLD-Agricultural methane emissions (% of total)\n", - "Statistical=0.531, p=0.000\n", - "NLD-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.472, p=0.000\n", - "NLD-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.588, p=0.000\n", - "NLD-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.984, p=0.902\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.929, p=0.036\n", - "NLD-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.857, p=0.001\n", - "NLD-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.985, p=0.928\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Aquaculture production (metric tons)\n", - "Statistical=0.905, p=0.008\n", - "NLD-Arable land (% of land area)\n", - "Statistical=0.862, p=0.001\n", - "NLD-Arable land (hectares per person)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Arable land (hectares)\n", - "Statistical=0.928, p=0.036\n", - "NLD-Armed forces personnel (% of total labor force)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.929, p=0.036\n", - "NLD-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.928, p=0.035\n", - "NLD-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.944, p=0.099\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Average precipitation in depth (mm per year)\n", - "Statistical=0.959, p=0.261\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Average time to clear exports through customs (days)\n", - "Statistical=0.831, p=0.000\n", - "NLD-Births attended by skilled health staff (% of total)\n", - "Statistical=0.980, p=0.814\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.847, p=0.000\n", - "NLD-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.891, p=0.004\n", - "NLD-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.833, p=0.000\n", - "NLD-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.919, p=0.019\n", - "NLD-CO2 emissions (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-CO2 emissions (metric tons per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.891, p=0.004\n", - "NLD-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.905, p=0.008\n", - "NLD-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.968, p=0.438\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.883, p=0.002\n", - "NLD-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.858, p=0.001\n", - "NLD-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.886, p=0.003\n", - "NLD-Capture fisheries production (metric tons)\n", - "Statistical=0.777, p=0.000\n", - "NLD-Cereal production (metric tons)\n", - "Statistical=0.900, p=0.006\n", - "NLD-Cereal yield (kg per hectare)\n", - "Statistical=0.854, p=0.001\n", - "NLD-Changes in inventories (current US$)\n", - "Statistical=0.882, p=0.002\n", - "NLD-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.752, p=0.000\n", - "NLD-Children out of school (% of primary school age)\n", - "Statistical=0.893, p=0.004\n", - "NLD-Coal rents (% of GDP)\n", - "Statistical=0.890, p=0.003\n", - "NLD-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.652, p=0.000\n", - "NLD-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.756, p=0.000\n", - "NLD-Commercial service exports (current US$)\n", - "Statistical=0.778, p=0.000\n", - "NLD-Commercial service imports (current US$)\n", - "Statistical=0.900, p=0.006\n", - "NLD-Completeness of birth registration (%)\n", - "Statistical=0.812, p=0.000\n", - "NLD-Consumer price index (2010 = 100)\n", - "Statistical=0.829, p=0.000\n", - "NLD-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.844, p=0.000\n", - "NLD-Crop production index (2014-2016 = 100)\n", - "Statistical=0.872, p=0.001\n", - "NLD-Current account balance (% of GDP)\n", - "Statistical=0.819, p=0.000\n", - "NLD-Current account balance (BoP, current US$)\n", - "Statistical=0.978, p=0.738\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Current health expenditure (% of GDP)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Current health expenditure per capita (current US$)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.921, p=0.022\n", - "NLD-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.815, p=0.000\n", - "NLD-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.957, p=0.227\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.967, p=0.427\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.976, p=0.678\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.856, p=0.001\n", - "NLD-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.701, p=0.000\n", - "NLD-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.911, p=0.012\n", - "NLD-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.892, p=0.004\n", - "NLD-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.884, p=0.002\n", - "NLD-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.884, p=0.002\n", - "NLD-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.855, p=0.001\n", - "NLD-Electric power consumption (kWh per capita)\n", - "Statistical=0.865, p=0.001\n", - "NLD-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Electricity production from coal sources (% of total)\n", - "Statistical=0.869, p=0.001\n", - "NLD-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.815, p=0.000\n", - "NLD-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.814, p=0.000\n", - "NLD-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Electricity production from oil sources (% of total)\n", - "Statistical=0.963, p=0.322\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.776, p=0.000\n", - "NLD-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.908, p=0.010\n", - "NLD-Export unit value index (2000 = 100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Export value index (2000 = 100)\n", - "Statistical=0.754, p=0.000\n", - "NLD-Export volume index (2000 = 100)\n", - "Statistical=0.773, p=0.000\n", - "NLD-Exports of goods and services (% of GDP)\n", - "Statistical=0.778, p=0.000\n", - "NLD-Exports of goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Exports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-External balance on goods and services (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-External balance on goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.585, p=0.000\n", - "NLD-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.903, p=0.008\n", - "NLD-Final consumption expenditure (% of GDP)\n", - "Statistical=0.903, p=0.008\n", - "NLD-Final consumption expenditure (current US$)\n", - "Statistical=0.890, p=0.004\n", - "NLD-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.963, p=0.338\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Firms offering formal training (% of firms)\n", - "Statistical=0.926, p=0.031\n", - "NLD-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.910, p=0.011\n", - "NLD-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.930, p=0.040\n", - "NLD-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.904, p=0.008\n", - "NLD-Fixed broadband subscriptions\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Fixed telephone subscriptions\n", - "Statistical=0.949, p=0.137\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.879, p=0.002\n", - "NLD-Food exports (% of merchandise exports)\n", - "Statistical=0.917, p=0.018\n", - "NLD-Food imports (% of merchandise imports)\n", - "Statistical=0.889, p=0.003\n", - "NLD-Food production index (2014-2016 = 100)\n", - "Statistical=0.904, p=0.008\n", - "NLD-Forest area (% of land area)\n", - "Statistical=0.922, p=0.024\n", - "NLD-Forest area (sq. km)\n", - "Statistical=0.901, p=0.007\n", - "NLD-Forest rents (% of GDP)\n", - "Statistical=0.961, p=0.298\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.835, p=0.000\n", - "NLD-Fuel exports (% of merchandise exports)\n", - "Statistical=0.788, p=0.000\n", - "NLD-Fuel imports (% of merchandise imports)\n", - "Statistical=0.874, p=0.001\n", - "NLD-GDP (current US$)\n", - "Statistical=0.901, p=0.007\n", - "NLD-GDP deflator (base year varies by country)\n", - "Statistical=0.959, p=0.250\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.965, p=0.381\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-GDP growth (annual %)\n", - "Statistical=0.967, p=0.430\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-GDP per capita (current US$)\n", - "Statistical=0.835, p=0.000\n", - "NLD-GDP per capita growth (annual %)\n", - "Statistical=0.842, p=0.000\n", - "NLD-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.934, p=0.049\n", - "NLD-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.524, p=0.000\n", - "NLD-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.472, p=0.000\n", - "NLD-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.588, p=0.000\n", - "NLD-GNI (current US$)\n", - "Statistical=0.531, p=0.000\n", - "NLD-GNI growth (annual %)\n", - "Statistical=0.474, p=0.000\n", - "NLD-GNI per capita growth (annual %)\n", - "Statistical=0.602, p=0.000\n", - "NLD-General government final consumption expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-General government final consumption expenditure (current US$)\n", - "Statistical=0.811, p=0.000\n", - "NLD-Gini index\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Goods imports (BoP, current US$)\n", - "Statistical=0.768, p=0.000\n", - "NLD-Grants and other revenue (% of revenue)\n", - "Statistical=0.800, p=0.000\n", - "NLD-Gross capital formation (% of GDP)\n", - "Statistical=0.895, p=0.005\n", - "NLD-Gross capital formation (current US$)\n", - "Statistical=0.866, p=0.001\n", - "NLD-Gross domestic savings (% of GDP)\n", - "Statistical=0.837, p=0.000\n", - "NLD-Gross domestic savings (current US$)\n", - "Statistical=0.836, p=0.000\n", - "NLD-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.834, p=0.000\n", - "NLD-Gross savings (% of GDP)\n", - "Statistical=0.828, p=0.000\n", - "NLD-Gross savings (current US$)\n", - "Statistical=0.957, p=0.222\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.844, p=0.000\n", - "NLD-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-High-technology exports (% of manufactured exports)\n", - "Statistical=0.885, p=0.003\n", - "NLD-High-technology exports (current US$)\n", - "Statistical=0.843, p=0.000\n", - "NLD-Hospital beds (per 1,000 people)\n", - "Statistical=0.922, p=0.024\n", - "NLD-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.864, p=0.001\n", - "NLD-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.771, p=0.000\n", - "NLD-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.771, p=0.000\n", - "NLD-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.771, p=0.000\n", - "NLD-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.989, p=0.985\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.954, p=0.191\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.916, p=0.016\n", - "NLD-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.745, p=0.000\n", - "NLD-ICT goods exports (% of total goods exports)\n", - "Statistical=0.789, p=0.000\n", - "NLD-ICT goods imports (% total goods imports)\n", - "Statistical=0.922, p=0.023\n", - "NLD-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.825, p=0.000\n", - "NLD-ICT service exports (BoP, current US$)\n", - "Statistical=0.790, p=0.000\n", - "NLD-Import unit value index (2000 = 100)\n", - "Statistical=0.854, p=0.001\n", - "NLD-Import value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Import volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Imports of goods and services (% of GDP)\n", - "Statistical=0.927, p=0.033\n", - "NLD-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.897, p=0.005\n", - "NLD-Imports of goods and services (current US$)\n", - "Statistical=0.772, p=0.000\n", - "NLD-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=0.438, p=0.000\n", - "NLD-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "NLD-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Income share held by lowest 10%\n", - "Statistical=0.916, p=0.016\n", - "NLD-Income share held by lowest 20%\n", - "Statistical=0.916, p=0.016\n", - "NLD-Income share held by second 20%\n", - "Statistical=0.860, p=0.001\n", - "NLD-Income share held by third 20%\n", - "Statistical=0.899, p=0.006\n", - "NLD-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.860, p=0.001\n", - "NLD-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.799, p=0.000\n", - "NLD-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.858, p=0.001\n", - "NLD-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.900, p=0.006\n", - "NLD-Individuals using the Internet (% of population)\n", - "Statistical=0.773, p=0.000\n", - "NLD-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.841, p=0.000\n", - "NLD-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.452, p=0.000\n", - "NLD-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.765, p=0.000\n", - "NLD-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.766, p=0.000\n", - "NLD-Intentional homicides (per 100,000 people)\n", - "Statistical=0.774, p=0.000\n", - "NLD-Interest payments (% of revenue)\n", - "Statistical=0.773, p=0.000\n", - "NLD-International migrant stock (% of population)\n", - "Statistical=0.740, p=0.000\n", - "NLD-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.775, p=0.000\n", - "NLD-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.757, p=0.000\n", - "NLD-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.780, p=0.000\n", - "NLD-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.764, p=0.000\n", - "NLD-Land area (sq. km)\n", - "Statistical=0.794, p=0.000\n", - "NLD-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.734, p=0.000\n", - "NLD-Land under cereal production (hectares)\n", - "Statistical=0.777, p=0.000\n", - "NLD-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.854, p=0.001\n", - "NLD-Lifetime risk of maternal death (%)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.926, p=0.030\n", - "NLD-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.926, p=0.031\n", - "NLD-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.940, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=0.946, p=0.110\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.896, p=0.005\n", - "NLD-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.863, p=0.001\n", - "NLD-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.847, p=0.000\n", - "NLD-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.844, p=0.000\n", - "NLD-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.962, p=0.309\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.905, p=0.008\n", - "NLD-Low-birthweight babies (% of births)\n", - "Statistical=0.883, p=0.002\n", - "NLD-Lower secondary school starting age (years)\n", - "Statistical=0.928, p=0.034\n", - "NLD-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.928, p=0.035\n", - "NLD-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.922, p=0.023\n", - "NLD-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.903, p=0.007\n", - "NLD-Marine protected areas (% of territorial waters)\n", - "Statistical=0.893, p=0.004\n", - "NLD-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.896, p=0.005\n", - "NLD-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.914, p=0.014\n", - "NLD-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.898, p=0.005\n", - "NLD-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.908, p=0.010\n", - "NLD-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.861, p=0.001\n", - "NLD-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.845, p=0.000\n", - "NLD-Merchandise exports (current US$)\n", - "Statistical=0.927, p=0.033\n", - "NLD-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.914, p=0.014\n", - "NLD-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.875, p=0.001\n", - "NLD-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.841, p=0.000\n", - "NLD-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.946, p=0.110\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.947, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.954, p=0.186\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.929, p=0.036\n", - "NLD-Merchandise imports (current US$)\n", - "Statistical=0.838, p=0.000\n", - "NLD-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.768, p=0.000\n", - "NLD-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.909, p=0.011\n", - "NLD-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.908, p=0.010\n", - "NLD-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.862, p=0.001\n", - "NLD-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.842, p=0.000\n", - "NLD-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.819, p=0.000\n", - "NLD-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.843, p=0.000\n", - "NLD-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.914, p=0.014\n", - "NLD-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.857, p=0.001\n", - "NLD-Merchandise trade (% of GDP)\n", - "Statistical=0.955, p=0.203\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Methane emissions (% change from 1990)\n", - "Statistical=0.946, p=0.109\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.946, p=0.109\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.932, p=0.045\n", - "NLD-Military expenditure (% of GDP)\n", - "Statistical=0.870, p=0.001\n", - "NLD-Military expenditure (% of general government expenditure)\n", - "Statistical=0.828, p=0.000\n", - "NLD-Military expenditure (current USD)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Mineral rents (% of GDP)\n", - "Statistical=0.906, p=0.009\n", - "NLD-Mobile cellular subscriptions\n", - "Statistical=0.922, p=0.024\n", - "NLD-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.890, p=0.004\n", - "NLD-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Natural gas rents (% of GDP)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.925, p=0.029\n", - "NLD-Net capital account (BoP, current US$)\n", - "Statistical=0.852, p=0.000\n", - "NLD-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.898, p=0.006\n", - "NLD-Net financial account (BoP, current US$)\n", - "Statistical=0.983, p=0.872\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Net migration\n", - "Statistical=0.865, p=0.001\n", - "NLD-Net primary income (BoP, current US$)\n", - "Statistical=0.865, p=0.001\n", - "NLD-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.927, p=0.032\n", - "NLD-Net secondary income (BoP, current US$)\n", - "Statistical=0.854, p=0.001\n", - "NLD-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Net trade in goods (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Net trade in goods and services (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-New businesses registered (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.788, p=0.000\n", - "NLD-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.781, p=0.000\n", - "NLD-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.958, p=0.238\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Number of deaths ages 10-14 years\n", - "Statistical=0.972, p=0.548\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Number of deaths ages 15-19 years\n", - "Statistical=0.907, p=0.010\n", - "NLD-Number of deaths ages 20-24 years\n", - "Statistical=0.960, p=0.268\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Number of deaths ages 5-9 years\n", - "Statistical=0.978, p=0.743\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Number of infant deaths\n", - "Statistical=0.957, p=0.228\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Number of maternal deaths\n", - "Statistical=0.923, p=0.024\n", - "NLD-Number of neonatal deaths\n", - "Statistical=0.952, p=0.162\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Number of under-five deaths\n", - "Statistical=0.931, p=0.042\n", - "NLD-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.961, p=0.291\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.952, p=0.163\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Oil rents (% of GDP)\n", - "Statistical=0.900, p=0.006\n", - "NLD-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.906, p=0.009\n", - "NLD-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.890, p=0.003\n", - "NLD-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.946, p=0.109\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.928, p=0.035\n", - "NLD-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.921, p=0.022\n", - "NLD-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.921, p=0.022\n", - "NLD-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-People using at least basic drinking water services (% of population)\n", - "Statistical=0.857, p=0.001\n", - "NLD-People using at least basic sanitation services (% of population)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-People using safely managed sanitation services (% of population)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Permanent cropland (% of land area)\n", - "Statistical=0.970, p=0.507\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Physicians (per 1,000 people)\n", - "Statistical=0.893, p=0.004\n", - "NLD-Population ages 0-14 (% of total population)\n", - "Statistical=0.893, p=0.004\n", - "NLD-Population ages 15-64 (% of total population)\n", - "Statistical=0.929, p=0.036\n", - "NLD-Population ages 65 and above (% of total population)\n", - "Statistical=0.861, p=0.001\n", - "NLD-Population density (people per sq. km of land area)\n", - "Statistical=0.965, p=0.378\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Population growth (annual %)\n", - "Statistical=0.893, p=0.004\n", - "NLD-Population in largest city\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Population in the largest city (% of urban population)\n", - "Statistical=0.901, p=0.006\n", - "NLD-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.890, p=0.004\n", - "NLD-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.907, p=0.010\n", - "NLD-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.921, p=0.022\n", - "NLD-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.926, p=0.031\n", - "NLD-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.926, p=0.031\n", - "NLD-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.852, p=0.000\n", - "NLD-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.983, p=0.891\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.893, p=0.004\n", - "NLD-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.893, p=0.004\n", - "NLD-Prevalence of undernourishment (% of population)\n", - "Statistical=0.931, p=0.042\n", - "NLD-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.979, p=0.778\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Primary income payments (BoP, current US$)\n", - "Statistical=0.844, p=0.000\n", - "NLD-Primary income receipts (BoP, current US$)\n", - "Statistical=0.893, p=0.004\n", - "NLD-Primary school starting age (years)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Private credit bureau coverage (% of adults)\n", - "Statistical=0.836, p=0.000\n", - "NLD-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.926, p=0.031\n", - "NLD-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.918, p=0.019\n", - "NLD-Procedures to build a warehouse (number)\n", - "Statistical=0.973, p=0.578\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Procedures to register property (number)\n", - "Statistical=0.891, p=0.004\n", - "NLD-Profit tax (% of commercial profits)\n", - "Statistical=0.891, p=0.004\n", - "NLD-Progression to secondary school (%)\n", - "Statistical=0.917, p=0.018\n", - "NLD-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.841, p=0.000\n", - "NLD-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.959, p=0.260\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.850, p=0.000\n", - "NLD-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.861, p=0.001\n", - "NLD-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.905, p=0.008\n", - "NLD-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Public credit registry coverage (% of adults)\n", - "Statistical=0.842, p=0.000\n", - "NLD-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.859, p=0.001\n", - "NLD-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.862, p=0.001\n", - "NLD-Rail lines (total route-km)\n", - "Statistical=0.968, p=0.457\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.887, p=0.003\n", - "NLD-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Refugee population by country or territory of asylum\n", - "Statistical=0.965, p=0.378\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Refugee population by country or territory of origin\n", - "Statistical=0.975, p=0.651\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.949, p=0.132\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.949, p=0.132\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.955, p=0.201\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Research and development expenditure (% of GDP)\n", - "Statistical=0.907, p=0.009\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "NLD-Researchers in R&D (per million people)\n", - "Statistical=0.919, p=0.020\n", - "NLD-Reserves and related items (BoP, current US$)\n", - "Statistical=0.898, p=0.006\n", - "NLD-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.947, p=0.120\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Rural land area (sq. km)\n", - "Statistical=0.876, p=0.002\n", - "NLD-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.980, p=0.797\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.976, p=0.682\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Rural population\n", - "Statistical=0.934, p=0.050\n", - "NLD-Rural population (% of total population)\n", - "Statistical=0.934, p=0.050\n", - "NLD-Rural population growth (annual %)\n", - "Statistical=0.950, p=0.141\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.905, p=0.008\n", - "NLD-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Scientific and technical journal articles\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Secondary income receipts (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Secure Internet servers\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Secure Internet servers (per 1 million people)\n", - "Statistical=0.903, p=0.007\n", - "NLD-Service exports (BoP, current US$)\n", - "Statistical=0.903, p=0.007\n", - "NLD-Service imports (BoP, current US$)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Sex ratio at birth (male births per female births)\n", - "Statistical=0.860, p=0.001\n", - "NLD-Social contributions (% of revenue)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.906, p=0.009\n", - "NLD-Start-up procedures to register a business (number)\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.958, p=0.246\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.893, p=0.004\n", - "NLD-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.928, p=0.035\n", - "NLD-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.928, p=0.035\n", - "NLD-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.852, p=0.000\n", - "NLD-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.948, p=0.125\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.732, p=0.000\n", - "NLD-Surface area (sq. km)\n", - "Statistical=0.704, p=0.000\n", - "NLD-Tax payments (number)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Tax revenue (% of GDP)\n", - "Statistical=0.960, p=0.268\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Taxes less subsidies on products (current US$)\n", - "Statistical=0.795, p=0.000\n", - "NLD-Taxes on goods and services (% of revenue)\n", - "Statistical=0.795, p=0.000\n", - "NLD-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.920, p=0.020\n", - "NLD-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.873, p=0.001\n", - "NLD-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.773, p=0.000\n", - "NLD-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.973, p=0.580\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Time required to build a warehouse (days)\n", - "Statistical=0.795, p=0.000\n", - "NLD-Time required to enforce a contract (days)\n", - "Statistical=0.928, p=0.035\n", - "NLD-Time required to get electricity (days)\n", - "Statistical=0.877, p=0.002\n", - "NLD-Time required to register property (days)\n", - "Statistical=0.920, p=0.020\n", - "NLD-Time required to start a business (days)\n", - "Statistical=0.647, p=0.000\n", - "NLD-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.657, p=0.000\n", - "NLD-Time to obtain an electrical connection (days)\n", - "Statistical=0.675, p=0.000\n", - "NLD-Time to prepare and pay taxes (hours)\n", - "Statistical=0.408, p=0.000\n", - "NLD-Time to resolve insolvency (years)\n", - "Statistical=0.692, p=0.000\n", - "NLD-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.767, p=0.000\n", - "NLD-Total fisheries production (metric tons)\n", - "Statistical=0.406, p=0.000\n", - "NLD-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.550, p=0.000\n", - "NLD-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.681, p=0.000\n", - "NLD-Total natural resources rents (% of GDP)\n", - "Statistical=0.805, p=0.000\n", - "NLD-Total reserves (includes gold, current US$)\n", - "Statistical=0.813, p=0.000\n", - "NLD-Total reserves in months of imports\n", - "Statistical=0.818, p=0.000\n", - "NLD-Total reserves minus gold (current US$)\n", - "Statistical=0.892, p=0.004\n", - "NLD-Total tax and contribution rate (% of profit)\n", - "Statistical=0.769, p=0.000\n", - "NLD-Trade (% of GDP)\n", - "Statistical=0.576, p=0.000\n", - "NLD-Trade in services (% of GDP)\n", - "Statistical=0.779, p=0.000\n", - "NLD-Transport services (% of commercial service exports)\n", - "Statistical=0.843, p=0.000\n", - "NLD-Transport services (% of commercial service imports)\n", - "Statistical=0.820, p=0.000\n", - "NLD-Transport services (% of service exports, BoP)\n", - "Statistical=0.843, p=0.000\n", - "NLD-Transport services (% of service imports, BoP)\n", - "Statistical=0.929, p=0.038\n", - "NLD-Travel services (% of commercial service exports)\n", - "Statistical=0.857, p=0.001\n", - "NLD-Travel services (% of commercial service imports)\n", - "Statistical=0.982, p=0.854\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Travel services (% of service exports, BoP)\n", - "Statistical=0.945, p=0.107\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Travel services (% of service imports, BoP)\n", - "Statistical=0.945, p=0.107\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.933, p=0.047\n", - "NLD-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.866, p=0.001\n", - "NLD-UHC service coverage index\n", - "Statistical=0.824, p=0.000\n", - "NLD-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.887, p=0.003\n", - "NLD-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.970, p=0.488\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Urban land area (sq. km)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.687, p=0.000\n", - "NLD-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.874, p=0.001\n", - "NLD-Urban population\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Urban population (% of total population)\n", - "Statistical=0.908, p=0.010\n", - "NLD-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=0.783, p=0.000\n", - "NLD-GDP (current US$)+2\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-GDP (current US$)+3\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-GDP (current US$)+5\n", - "Statistical=0.945, p=0.103\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-GDP (current US$)+8\n", - "Statistical=0.951, p=0.155\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-GDP (current US$)+13\n", - "Statistical=0.919, p=0.020\n", - "NLD-GDP (current US$)+21\n", - "Statistical=0.919, p=0.020\n", - "NLD-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.898, p=0.006\n", - "NLD-Deposit interest rate (%)\n", - "Statistical=0.906, p=0.009\n", - "NLD-Other taxes (% of revenue)\n", - "Statistical=0.902, p=0.007\n", - "NLD-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.975, p=0.647\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Taxes on international trade (% of revenue)\n", - "Statistical=0.975, p=0.647\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.985, p=0.929\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Broad money (% of GDP)\n", - "Statistical=0.910, p=0.011\n", - "NLD-Broad money growth (annual %)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Broad money to total reserves ratio\n", - "Statistical=0.908, p=0.010\n", - "NLD-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.954, p=0.183\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.913, p=0.014\n", - "NLD-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.912, p=0.013\n", - "NLD-External health expenditure (% of current health expenditure)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-External health expenditure per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.895, p=0.005\n", - "NLD-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.900, p=0.006\n", - "NLD-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.877, p=0.002\n", - "NLD-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "NLD-People practicing open defecation (% of population)\n", - "Statistical=0.886, p=0.003\n", - "NLD-Taxes on exports (% of tax revenue)\n", - "Statistical=0.898, p=0.005\n", - "NLD-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.924, p=0.026\n", - "NLD-Country\n", - "Statistical=0.917, p=0.018\n", - "NLD-Year\n", - "Statistical=0.872, p=0.001\n", - "NLD-Continent\n", - "Statistical=0.890, p=0.003\n", - "IRQ-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Adjusted net national income (current US$)\n", - "Statistical=0.800, p=0.000\n", - "IRQ-Adjusted net national income per capita (current US$)\n", - "Statistical=0.811, p=0.000\n", - "IRQ-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.784, p=0.000\n", - "IRQ-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.823, p=0.000\n", - "IRQ-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.828, p=0.000\n", - "IRQ-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.769, p=0.000\n", - "IRQ-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.531, p=0.000\n", - "IRQ-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.524, p=0.000\n", - "IRQ-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.545, p=0.000\n", - "IRQ-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.525, p=0.000\n", - "IRQ-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.559, p=0.000\n", - "IRQ-Age dependency ratio (% of working-age population)\n", - "Statistical=0.562, p=0.000\n", - "IRQ-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.551, p=0.000\n", - "IRQ-Agricultural land (% of land area)\n", - "Statistical=0.549, p=0.000\n", - "IRQ-Agricultural land (sq. km)\n", - "Statistical=0.572, p=0.000\n", - "IRQ-Agricultural methane emissions (% of total)\n", - "Statistical=0.680, p=0.000\n", - "IRQ-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.697, p=0.000\n", - "IRQ-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.665, p=0.000\n", - "IRQ-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.746, p=0.000\n", - "IRQ-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.734, p=0.000\n", - "IRQ-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.748, p=0.000\n", - "IRQ-Aquaculture production (metric tons)\n", - "Statistical=0.743, p=0.000\n", - "IRQ-Arable land (% of land area)\n", - "Statistical=0.777, p=0.000\n", - "IRQ-Arable land (hectares per person)\n", - "Statistical=0.851, p=0.000\n", - "IRQ-Arable land (hectares)\n", - "Statistical=0.863, p=0.001\n", - "IRQ-Armed forces personnel (% of total labor force)\n", - "Statistical=0.852, p=0.000\n", - "IRQ-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.865, p=0.001\n", - "IRQ-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.980, p=0.810\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.842, p=0.000\n", - "IRQ-Average precipitation in depth (mm per year)\n", - "Statistical=0.981, p=0.830\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Average time to clear exports through customs (days)\n", - "Statistical=0.912, p=0.013\n", - "IRQ-Births attended by skilled health staff (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.857, p=0.001\n", - "IRQ-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.857, p=0.001\n", - "IRQ-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.744, p=0.000\n", - "IRQ-CO2 emissions (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-CO2 emissions (metric tons per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.857, p=0.001\n", - "IRQ-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.796, p=0.000\n", - "IRQ-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.715, p=0.000\n", - "IRQ-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.778, p=0.000\n", - "IRQ-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.789, p=0.000\n", - "IRQ-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.785, p=0.000\n", - "IRQ-Capture fisheries production (metric tons)\n", - "Statistical=0.793, p=0.000\n", - "IRQ-Cereal production (metric tons)\n", - "Statistical=0.961, p=0.286\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Cereal yield (kg per hectare)\n", - "Statistical=0.962, p=0.306\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Changes in inventories (current US$)\n", - "Statistical=0.963, p=0.335\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Chemicals (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Children out of school (% of primary school age)\n", - "Statistical=0.956, p=0.219\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Coal rents (% of GDP)\n", - "Statistical=0.961, p=0.296\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.673, p=0.000\n", - "IRQ-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.533, p=0.000\n", - "IRQ-Commercial service exports (current US$)\n", - "Statistical=0.784, p=0.000\n", - "IRQ-Commercial service imports (current US$)\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Completeness of birth registration (%)\n", - "Statistical=0.820, p=0.000\n", - "IRQ-Consumer price index (2010 = 100)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.816, p=0.000\n", - "IRQ-Crop production index (2014-2016 = 100)\n", - "Statistical=0.750, p=0.000\n", - "IRQ-Current account balance (% of GDP)\n", - "Statistical=0.932, p=0.046\n", - "IRQ-Current account balance (BoP, current US$)\n", - "Statistical=0.987, p=0.963\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Current health expenditure (% of GDP)\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Current health expenditure per capita (current US$)\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.928, p=0.034\n", - "IRQ-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.927, p=0.033\n", - "IRQ-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.974, p=0.618\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.648, p=0.000\n", - "IRQ-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.834, p=0.000\n", - "IRQ-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.837, p=0.000\n", - "IRQ-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.907, p=0.010\n", - "IRQ-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.907, p=0.010\n", - "IRQ-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.907, p=0.010\n", - "IRQ-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.916, p=0.016\n", - "IRQ-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.916, p=0.016\n", - "IRQ-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.867, p=0.001\n", - "IRQ-Electric power consumption (kWh per capita)\n", - "Statistical=0.960, p=0.272\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.851, p=0.000\n", - "IRQ-Electricity production from coal sources (% of total)\n", - "Statistical=0.960, p=0.279\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.876, p=0.002\n", - "IRQ-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Electricity production from nuclear sources (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Electricity production from oil sources (% of total)\n", - "Statistical=0.983, p=0.871\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.695, p=0.000\n", - "IRQ-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Energy related methane emissions (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Energy use (kg of oil equivalent per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.926, p=0.031\n", - "IRQ-Export unit value index (2000 = 100)\n", - "Statistical=0.865, p=0.001\n", - "IRQ-Export value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Export volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Exports of goods and services (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.882, p=0.002\n", - "IRQ-Exports of goods and services (current US$)\n", - "Statistical=0.730, p=0.000\n", - "IRQ-External balance on goods and services (% of GDP)\n", - "Statistical=0.664, p=0.000\n", - "IRQ-External balance on goods and services (current US$)\n", - "Statistical=0.817, p=0.000\n", - "IRQ-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.914, p=0.014\n", - "IRQ-Final consumption expenditure (% of GDP)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Final consumption expenditure (current US$)\n", - "Statistical=0.747, p=0.000\n", - "IRQ-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.879, p=0.002\n", - "IRQ-Firms offering formal training (% of firms)\n", - "Statistical=0.894, p=0.004\n", - "IRQ-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.912, p=0.013\n", - "IRQ-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.885, p=0.003\n", - "IRQ-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.856, p=0.001\n", - "IRQ-Fixed broadband subscriptions\n", - "Statistical=0.954, p=0.182\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.896, p=0.005\n", - "IRQ-Fixed telephone subscriptions\n", - "Statistical=0.898, p=0.005\n", - "IRQ-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Food exports (% of merchandise exports)\n", - "Statistical=0.884, p=0.002\n", - "IRQ-Food imports (% of merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Food production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Forest area (% of land area)\n", - "Statistical=0.906, p=0.009\n", - "IRQ-Forest area (sq. km)\n", - "Statistical=0.818, p=0.000\n", - "IRQ-Forest rents (% of GDP)\n", - "Statistical=0.978, p=0.734\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.802, p=0.000\n", - "IRQ-Fuel exports (% of merchandise exports)\n", - "Statistical=0.828, p=0.000\n", - "IRQ-Fuel imports (% of merchandise imports)\n", - "Statistical=0.735, p=0.000\n", - "IRQ-GDP (current US$)\n", - "Statistical=0.943, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-GDP deflator (base year varies by country)\n", - "Statistical=0.906, p=0.009\n", - "IRQ-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.951, p=0.154\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-GDP growth (annual %)\n", - "Statistical=0.921, p=0.022\n", - "IRQ-GDP per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.928, p=0.035\n", - "IRQ-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.683, p=0.000\n", - "IRQ-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.701, p=0.000\n", - "IRQ-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.665, p=0.000\n", - "IRQ-GNI (current US$)\n", - "Statistical=0.726, p=0.000\n", - "IRQ-GNI growth (annual %)\n", - "Statistical=0.726, p=0.000\n", - "IRQ-GNI per capita growth (annual %)\n", - "Statistical=0.682, p=0.000\n", - "IRQ-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.817, p=0.000\n", - "IRQ-General government final consumption expenditure (current US$)\n", - "Statistical=0.799, p=0.000\n", - "IRQ-Gini index\n", - "Statistical=0.833, p=0.000\n", - "IRQ-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Goods imports (BoP, current US$)\n", - "Statistical=0.917, p=0.017\n", - "IRQ-Grants and other revenue (% of revenue)\n", - "Statistical=0.707, p=0.000\n", - "IRQ-Gross capital formation (% of GDP)\n", - "Statistical=0.760, p=0.000\n", - "IRQ-Gross capital formation (current US$)\n", - "Statistical=0.765, p=0.000\n", - "IRQ-Gross domestic savings (% of GDP)\n", - "Statistical=0.782, p=0.000\n", - "IRQ-Gross domestic savings (current US$)\n", - "Statistical=0.747, p=0.000\n", - "IRQ-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.708, p=0.000\n", - "IRQ-Gross fixed capital formation (current US$)\n", - "Statistical=0.618, p=0.000\n", - "IRQ-Gross national expenditure (% of GDP)\n", - "Statistical=0.618, p=0.000\n", - "IRQ-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.699, p=0.000\n", - "IRQ-Gross savings (% of GDP)\n", - "Statistical=0.754, p=0.000\n", - "IRQ-Gross savings (current US$)\n", - "Statistical=0.833, p=0.000\n", - "IRQ-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.503, p=0.000\n", - "IRQ-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.776, p=0.000\n", - "IRQ-High-technology exports (% of manufactured exports)\n", - "Statistical=0.707, p=0.000\n", - "IRQ-High-technology exports (current US$)\n", - "Statistical=0.915, p=0.015\n", - "IRQ-Hospital beds (per 1,000 people)\n", - "Statistical=0.892, p=0.004\n", - "IRQ-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.924, p=0.026\n", - "IRQ-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.682, p=0.000\n", - "IRQ-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.682, p=0.000\n", - "IRQ-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.682, p=0.000\n", - "IRQ-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.966, p=0.389\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.782, p=0.000\n", - "IRQ-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.734, p=0.000\n", - "IRQ-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-ICT goods exports (% of total goods exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-ICT goods imports (% total goods imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.771, p=0.000\n", - "IRQ-ICT service exports (BoP, current US$)\n", - "Statistical=0.806, p=0.000\n", - "IRQ-Import unit value index (2000 = 100)\n", - "Statistical=0.817, p=0.000\n", - "IRQ-Import value index (2000 = 100)\n", - "Statistical=0.587, p=0.000\n", - "IRQ-Import volume index (2000 = 100)\n", - "Statistical=0.513, p=0.000\n", - "IRQ-Imports of goods and services (% of GDP)\n", - "Statistical=0.817, p=0.000\n", - "IRQ-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.933, p=0.048\n", - "IRQ-Imports of goods and services (current US$)\n", - "Statistical=0.784, p=0.000\n", - "IRQ-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "IRQ-Income share held by highest 10%\n", - "Statistical=0.672, p=0.000\n", - "IRQ-Income share held by highest 20%\n", - "Statistical=0.928, p=0.034\n", - "IRQ-Income share held by lowest 10%\n", - "Statistical=0.768, p=0.000\n", - "IRQ-Income share held by lowest 20%\n", - "Statistical=0.767, p=0.000\n", - "IRQ-Income share held by second 20%\n", - "Statistical=0.906, p=0.009\n", - "IRQ-Income share held by third 20%\n", - "Statistical=0.856, p=0.001\n", - "IRQ-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.791, p=0.000\n", - "IRQ-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.792, p=0.000\n", - "IRQ-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.830, p=0.000\n", - "IRQ-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.851, p=0.000\n", - "IRQ-Individuals using the Internet (% of population)\n", - "Statistical=0.676, p=0.000\n", - "IRQ-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.669, p=0.000\n", - "IRQ-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.447, p=0.000\n", - "IRQ-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Intentional homicides (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Interest payments (% of revenue)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-International migrant stock (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Labor tax and contributions (% of commercial profits)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Land area (sq. km)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Land under cereal production (hectares)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.786, p=0.000\n", - "IRQ-Lifetime risk of maternal death (%)\n", - "Statistical=0.769, p=0.000\n", - "IRQ-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.754, p=0.000\n", - "IRQ-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.955, p=0.201\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.838, p=0.000\n", - "IRQ-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.769, p=0.000\n", - "IRQ-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.906, p=0.009\n", - "IRQ-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.825, p=0.000\n", - "IRQ-Low-birthweight babies (% of births)\n", - "Statistical=0.795, p=0.000\n", - "IRQ-Lower secondary school starting age (years)\n", - "Statistical=0.911, p=0.012\n", - "IRQ-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.915, p=0.016\n", - "IRQ-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.912, p=0.013\n", - "IRQ-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.901, p=0.006\n", - "IRQ-Marine protected areas (% of territorial waters)\n", - "Statistical=0.904, p=0.008\n", - "IRQ-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.905, p=0.008\n", - "IRQ-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.901, p=0.007\n", - "IRQ-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.910, p=0.011\n", - "IRQ-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.901, p=0.007\n", - "IRQ-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.849, p=0.000\n", - "IRQ-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.575, p=0.000\n", - "IRQ-Merchandise exports (current US$)\n", - "Statistical=0.885, p=0.003\n", - "IRQ-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.665, p=0.000\n", - "IRQ-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.927, p=0.033\n", - "IRQ-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.815, p=0.000\n", - "IRQ-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.868, p=0.001\n", - "IRQ-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.669, p=0.000\n", - "IRQ-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.920, p=0.021\n", - "IRQ-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.618, p=0.000\n", - "IRQ-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.916, p=0.016\n", - "IRQ-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.612, p=0.000\n", - "IRQ-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.901, p=0.007\n", - "IRQ-Merchandise imports (current US$)\n", - "Statistical=0.904, p=0.008\n", - "IRQ-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.873, p=0.001\n", - "IRQ-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.670, p=0.000\n", - "IRQ-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.819, p=0.000\n", - "IRQ-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.880, p=0.002\n", - "IRQ-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.931, p=0.041\n", - "IRQ-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.707, p=0.000\n", - "IRQ-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.910, p=0.011\n", - "IRQ-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.772, p=0.000\n", - "IRQ-Merchandise trade (% of GDP)\n", - "Statistical=0.742, p=0.000\n", - "IRQ-Methane emissions (% change from 1990)\n", - "Statistical=0.682, p=0.000\n", - "IRQ-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.682, p=0.000\n", - "IRQ-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.893, p=0.004\n", - "IRQ-Military expenditure (% of GDP)\n", - "Statistical=0.897, p=0.005\n", - "IRQ-Military expenditure (% of general government expenditure)\n", - "Statistical=0.776, p=0.000\n", - "IRQ-Military expenditure (current USD)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Mineral rents (% of GDP)\n", - "Statistical=0.648, p=0.000\n", - "IRQ-Mobile cellular subscriptions\n", - "Statistical=0.865, p=0.001\n", - "IRQ-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.863, p=0.001\n", - "IRQ-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Natural gas rents (% of GDP)\n", - "Statistical=0.961, p=0.285\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.905, p=0.008\n", - "IRQ-Net capital account (BoP, current US$)\n", - "Statistical=0.966, p=0.402\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Net financial account (BoP, current US$)\n", - "Statistical=0.674, p=0.000\n", - "IRQ-Net migration\n", - "Statistical=0.725, p=0.000\n", - "IRQ-Net primary income (BoP, current US$)\n", - "Statistical=0.725, p=0.000\n", - "IRQ-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.827, p=0.000\n", - "IRQ-Net secondary income (BoP, current US$)\n", - "Statistical=0.831, p=0.000\n", - "IRQ-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Net trade in goods (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Net trade in goods and services (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-New businesses registered (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.658, p=0.000\n", - "IRQ-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.660, p=0.000\n", - "IRQ-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.864, p=0.001\n", - "IRQ-Number of deaths ages 10-14 years\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Number of deaths ages 15-19 years\n", - "Statistical=0.758, p=0.000\n", - "IRQ-Number of deaths ages 20-24 years\n", - "Statistical=0.790, p=0.000\n", - "IRQ-Number of deaths ages 5-9 years\n", - "Statistical=0.979, p=0.776\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Number of infant deaths\n", - "Statistical=0.830, p=0.000\n", - "IRQ-Number of maternal deaths\n", - "Statistical=0.766, p=0.000\n", - "IRQ-Number of neonatal deaths\n", - "Statistical=0.910, p=0.011\n", - "IRQ-Number of under-five deaths\n", - "Statistical=0.870, p=0.001\n", - "IRQ-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.821, p=0.000\n", - "IRQ-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.761, p=0.000\n", - "IRQ-Oil rents (% of GDP)\n", - "Statistical=0.869, p=0.001\n", - "IRQ-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.820, p=0.000\n", - "IRQ-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.990, p=0.988\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.815, p=0.000\n", - "IRQ-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.806, p=0.000\n", - "IRQ-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.838, p=0.000\n", - "IRQ-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.949, p=0.134\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.949, p=0.134\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.871, p=0.001\n", - "IRQ-People using at least basic drinking water services (% of population)\n", - "Statistical=0.874, p=0.001\n", - "IRQ-People using at least basic sanitation services (% of population)\n", - "Statistical=0.912, p=0.013\n", - "IRQ-People using safely managed sanitation services (% of population)\n", - "Statistical=0.912, p=0.013\n", - "IRQ-Permanent cropland (% of land area)\n", - "Statistical=0.931, p=0.041\n", - "IRQ-Physicians (per 1,000 people)\n", - "Statistical=0.924, p=0.027\n", - "IRQ-Population ages 0-14 (% of total population)\n", - "Statistical=0.924, p=0.027\n", - "IRQ-Population ages 15-64 (% of total population)\n", - "Statistical=0.905, p=0.008\n", - "IRQ-Population ages 65 and above (% of total population)\n", - "Statistical=0.923, p=0.026\n", - "IRQ-Population density (people per sq. km of land area)\n", - "Statistical=0.929, p=0.037\n", - "IRQ-Population growth (annual %)\n", - "Statistical=0.924, p=0.027\n", - "IRQ-Population in largest city\n", - "Statistical=0.943, p=0.093\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Population in the largest city (% of urban population)\n", - "Statistical=0.900, p=0.006\n", - "IRQ-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.783, p=0.000\n", - "IRQ-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.802, p=0.000\n", - "IRQ-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.949, p=0.134\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.871, p=0.001\n", - "IRQ-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.724, p=0.000\n", - "IRQ-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.724, p=0.000\n", - "IRQ-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.868, p=0.001\n", - "IRQ-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.871, p=0.001\n", - "IRQ-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.706, p=0.000\n", - "IRQ-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.737, p=0.000\n", - "IRQ-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.737, p=0.000\n", - "IRQ-Prevalence of undernourishment (% of population)\n", - "Statistical=0.903, p=0.008\n", - "IRQ-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.686, p=0.000\n", - "IRQ-Primary income payments (BoP, current US$)\n", - "Statistical=0.894, p=0.004\n", - "IRQ-Primary income receipts (BoP, current US$)\n", - "Statistical=0.737, p=0.000\n", - "IRQ-Primary school starting age (years)\n", - "Statistical=0.952, p=0.166\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Private credit bureau coverage (% of adults)\n", - "Statistical=0.862, p=0.001\n", - "IRQ-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.724, p=0.000\n", - "IRQ-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.950, p=0.145\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.868, p=0.001\n", - "IRQ-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.879, p=0.002\n", - "IRQ-Procedures to build a warehouse (number)\n", - "Statistical=0.829, p=0.000\n", - "IRQ-Procedures to register property (number)\n", - "Statistical=0.705, p=0.000\n", - "IRQ-Profit tax (% of commercial profits)\n", - "Statistical=0.705, p=0.000\n", - "IRQ-Progression to secondary school (%)\n", - "Statistical=0.862, p=0.001\n", - "IRQ-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.873, p=0.001\n", - "IRQ-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.697, p=0.000\n", - "IRQ-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.769, p=0.000\n", - "IRQ-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.791, p=0.000\n", - "IRQ-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Public credit registry coverage (% of adults)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Pump price for gasoline (US$ per liter)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Rail lines (total route-km)\n", - "Statistical=0.483, p=0.000\n", - "IRQ-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.368, p=0.000\n", - "IRQ-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.872, p=0.001\n", - "IRQ-Refugee population by country or territory of asylum\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Refugee population by country or territory of origin\n", - "Statistical=0.725, p=0.000\n", - "IRQ-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.728, p=0.000\n", - "IRQ-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.728, p=0.000\n", - "IRQ-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.880, p=0.002\n", - "IRQ-Research and development expenditure (% of GDP)\n", - "Statistical=0.880, p=0.002\n", - "IRQ-Researchers in R&D (per million people)\n", - "Statistical=0.708, p=0.000\n", - "IRQ-Reserves and related items (BoP, current US$)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.875, p=0.002\n", - "IRQ-Rural land area (sq. km)\n", - "Statistical=0.887, p=0.003\n", - "IRQ-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.900, p=0.006\n", - "IRQ-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.725, p=0.000\n", - "IRQ-Rural population\n", - "Statistical=0.669, p=0.000\n", - "IRQ-Rural population (% of total population)\n", - "Statistical=0.669, p=0.000\n", - "IRQ-Rural population growth (annual %)\n", - "Statistical=0.781, p=0.000\n", - "IRQ-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.795, p=0.000\n", - "IRQ-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.701, p=0.000\n", - "IRQ-Scientific and technical journal articles\n", - "Statistical=0.647, p=0.000\n", - "IRQ-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.641, p=0.000\n", - "IRQ-Secure Internet servers\n", - "Statistical=0.953, p=0.170\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Secure Internet servers (per 1 million people)\n", - "Statistical=0.734, p=0.000\n", - "IRQ-Service exports (BoP, current US$)\n", - "Statistical=0.735, p=0.000\n", - "IRQ-Service imports (BoP, current US$)\n", - "Statistical=0.849, p=0.000\n", - "IRQ-Sex ratio at birth (male births per female births)\n", - "Statistical=0.846, p=0.000\n", - "IRQ-Social contributions (% of revenue)\n", - "Statistical=0.710, p=0.000\n", - "IRQ-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.677, p=0.000\n", - "IRQ-Start-up procedures to register a business (number)\n", - "Statistical=0.757, p=0.000\n", - "IRQ-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.732, p=0.000\n", - "IRQ-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.743, p=0.000\n", - "IRQ-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.949, p=0.134\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.949, p=0.134\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.871, p=0.001\n", - "IRQ-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.874, p=0.001\n", - "IRQ-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Suicide mortality rate (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Surface area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Tax payments (number)\n", - "Statistical=0.775, p=0.000\n", - "IRQ-Tax revenue (% of GDP)\n", - "Statistical=0.562, p=0.000\n", - "IRQ-Taxes less subsidies on products (current US$)\n", - "Statistical=0.700, p=0.000\n", - "IRQ-Taxes on goods and services (% of revenue)\n", - "Statistical=0.700, p=0.000\n", - "IRQ-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.809, p=0.000\n", - "IRQ-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.809, p=0.000\n", - "IRQ-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.903, p=0.008\n", - "IRQ-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Time required to build a warehouse (days)\n", - "Statistical=0.700, p=0.000\n", - "IRQ-Time required to enforce a contract (days)\n", - "Statistical=0.856, p=0.001\n", - "IRQ-Time required to get electricity (days)\n", - "Statistical=0.965, p=0.374\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Time required to register property (days)\n", - "Statistical=0.809, p=0.000\n", - "IRQ-Time required to start a business (days)\n", - "Statistical=0.365, p=0.000\n", - "IRQ-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.346, p=0.000\n", - "IRQ-Time to obtain an electrical connection (days)\n", - "Statistical=0.396, p=0.000\n", - "IRQ-Time to prepare and pay taxes (hours)\n", - "Statistical=0.429, p=0.000\n", - "IRQ-Time to resolve insolvency (years)\n", - "Statistical=0.403, p=0.000\n", - "IRQ-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.373, p=0.000\n", - "IRQ-Total fisheries production (metric tons)\n", - "Statistical=0.404, p=0.000\n", - "IRQ-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.422, p=0.000\n", - "IRQ-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.440, p=0.000\n", - "IRQ-Total natural resources rents (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Total reserves (includes gold, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Total reserves in months of imports\n", - "Statistical=0.763, p=0.000\n", - "IRQ-Total reserves minus gold (current US$)\n", - "Statistical=0.707, p=0.000\n", - "IRQ-Total tax and contribution rate (% of profit)\n", - "Statistical=0.984, p=0.898\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Trade (% of GDP)\n", - "Statistical=0.945, p=0.105\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Trade in services (% of GDP)\n", - "Statistical=0.983, p=0.869\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Transport services (% of commercial service exports)\n", - "Statistical=0.821, p=0.000\n", - "IRQ-Transport services (% of commercial service imports)\n", - "Statistical=0.892, p=0.004\n", - "IRQ-Transport services (% of service exports, BoP)\n", - "Statistical=0.856, p=0.001\n", - "IRQ-Transport services (% of service imports, BoP)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Travel services (% of commercial service exports)\n", - "Statistical=0.793, p=0.000\n", - "IRQ-Travel services (% of commercial service imports)\n", - "Statistical=0.753, p=0.000\n", - "IRQ-Travel services (% of service exports, BoP)\n", - "Statistical=0.757, p=0.000\n", - "IRQ-Travel services (% of service imports, BoP)\n", - "Statistical=0.757, p=0.000\n", - "IRQ-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.911, p=0.012\n", - "IRQ-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.916, p=0.016\n", - "IRQ-UHC service coverage index\n", - "Statistical=0.793, p=0.000\n", - "IRQ-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.761, p=0.000\n", - "IRQ-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.697, p=0.000\n", - "IRQ-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.697, p=0.000\n", - "IRQ-Urban land area (sq. km)\n", - "Statistical=0.697, p=0.000\n", - "IRQ-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.697, p=0.000\n", - "IRQ-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.697, p=0.000\n", - "IRQ-Urban population\n", - "Statistical=0.697, p=0.000\n", - "IRQ-Urban population (% of total population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Urban population growth (annual %)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-GDP (current US$)+1\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-GDP (current US$)+2\n", - "Statistical=0.442, p=0.000\n", - "IRQ-GDP (current US$)+3\n", - "Statistical=0.442, p=0.000\n", - "IRQ-GDP (current US$)+5\n", - "Statistical=0.975, p=0.640\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-GDP (current US$)+8\n", - "Statistical=0.963, p=0.323\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-GDP (current US$)+13\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-GDP (current US$)+21\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "IRQ-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.899, p=0.006\n", - "IRQ-Deposit interest rate (%)\n", - "Statistical=0.900, p=0.006\n", - "IRQ-Other taxes (% of revenue)\n", - "Statistical=0.851, p=0.000\n", - "IRQ-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.883, p=0.002\n", - "IRQ-Taxes on international trade (% of revenue)\n", - "Statistical=0.883, p=0.002\n", - "IRQ-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.917, p=0.017\n", - "IRQ-Broad money (% of GDP)\n", - "Statistical=0.851, p=0.000\n", - "IRQ-Broad money growth (annual %)\n", - "Statistical=0.755, p=0.000\n", - "IRQ-Broad money to total reserves ratio\n", - "Statistical=0.821, p=0.000\n", - "IRQ-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.708, p=0.000\n", - "IRQ-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.907, p=0.009\n", - "IRQ-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.474, p=0.000\n", - "IRQ-External health expenditure (% of current health expenditure)\n", - "Statistical=0.580, p=0.000\n", - "IRQ-External health expenditure per capita (current US$)\n", - "Statistical=0.547, p=0.000\n", - "IRQ-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.864, p=0.001\n", - "IRQ-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.826, p=0.000\n", - "IRQ-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.656, p=0.000\n", - "IRQ-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.692, p=0.000\n", - "IRQ-People practicing open defecation (% of population)\n", - "Statistical=0.770, p=0.000\n", - "IRQ-Taxes on exports (% of tax revenue)\n", - "Statistical=0.730, p=0.000\n", - "IRQ-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.865, p=0.001\n", - "IRQ-Country\n", - "Statistical=0.741, p=0.000\n", - "IRQ-Year\n", - "Statistical=0.769, p=0.000\n", - "IRQ-Continent\n", - "Statistical=0.812, p=0.000\n", - "QAT-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Adjusted savings: net national savings (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Age dependency ratio (% of working-age population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Agricultural land (% of land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Agricultural land (sq. km)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Agricultural methane emissions (% of total)\n", - "Statistical=0.891, p=0.004\n", - "QAT-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.766, p=0.000\n", - "QAT-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.909, p=0.011\n", - "QAT-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.416, p=0.000\n", - "QAT-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.801, p=0.000\n", - "QAT-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.437, p=0.000\n", - "QAT-Aquaculture production (metric tons)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Arable land (% of land area)\n", - "Statistical=0.876, p=0.002\n", - "QAT-Arable land (hectares per person)\n", - "Statistical=0.585, p=0.000\n", - "QAT-Arable land (hectares)\n", - "Statistical=0.747, p=0.000\n", - "QAT-Armed forces personnel (% of total labor force)\n", - "Statistical=0.585, p=0.000\n", - "QAT-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.747, p=0.000\n", - "QAT-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.877, p=0.002\n", - "QAT-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.850, p=0.000\n", - "QAT-Average precipitation in depth (mm per year)\n", - "Statistical=0.918, p=0.019\n", - "QAT-Average time to clear exports through customs (days)\n", - "Statistical=0.786, p=0.000\n", - "QAT-Births attended by skilled health staff (% of total)\n", - "Statistical=0.927, p=0.033\n", - "QAT-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.809, p=0.000\n", - "QAT-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.863, p=0.001\n", - "QAT-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.592, p=0.000\n", - "QAT-CO2 emissions (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-CO2 emissions (metric tons per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=0.865, p=0.001\n", - "QAT-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=0.877, p=0.002\n", - "QAT-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.587, p=0.000\n", - "QAT-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.683, p=0.000\n", - "QAT-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.844, p=0.000\n", - "QAT-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.834, p=0.000\n", - "QAT-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.851, p=0.000\n", - "QAT-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.954, p=0.191\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.875, p=0.002\n", - "QAT-Capture fisheries production (metric tons)\n", - "Statistical=0.970, p=0.491\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Cereal production (metric tons)\n", - "Statistical=0.805, p=0.000\n", - "QAT-Cereal yield (kg per hectare)\n", - "Statistical=0.912, p=0.013\n", - "QAT-Changes in inventories (current US$)\n", - "Statistical=0.801, p=0.000\n", - "QAT-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.621, p=0.000\n", - "QAT-Children out of school (% of primary school age)\n", - "Statistical=0.930, p=0.040\n", - "QAT-Coal rents (% of GDP)\n", - "Statistical=0.956, p=0.210\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.858, p=0.001\n", - "QAT-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.833, p=0.000\n", - "QAT-Commercial service exports (current US$)\n", - "Statistical=0.758, p=0.000\n", - "QAT-Commercial service imports (current US$)\n", - "Statistical=0.928, p=0.034\n", - "QAT-Completeness of birth registration (%)\n", - "Statistical=0.783, p=0.000\n", - "QAT-Consumer price index (2010 = 100)\n", - "Statistical=0.869, p=0.001\n", - "QAT-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.909, p=0.011\n", - "QAT-Crop production index (2014-2016 = 100)\n", - "Statistical=0.900, p=0.006\n", - "QAT-Current account balance (% of GDP)\n", - "Statistical=0.813, p=0.000\n", - "QAT-Current account balance (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Current health expenditure (% of GDP)\n", - "Statistical=0.741, p=0.000\n", - "QAT-Current health expenditure per capita (current US$)\n", - "Statistical=0.741, p=0.000\n", - "QAT-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.742, p=0.000\n", - "QAT-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.742, p=0.000\n", - "QAT-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.904, p=0.008\n", - "QAT-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.740, p=0.000\n", - "QAT-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.828, p=0.000\n", - "QAT-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.847, p=0.000\n", - "QAT-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.842, p=0.000\n", - "QAT-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.831, p=0.000\n", - "QAT-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.791, p=0.000\n", - "QAT-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.861, p=0.001\n", - "QAT-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.861, p=0.001\n", - "QAT-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Electric power consumption (kWh per capita)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.850, p=0.000\n", - "QAT-Electricity production from coal sources (% of total)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.848, p=0.000\n", - "QAT-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.587, p=0.000\n", - "QAT-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.861, p=0.001\n", - "QAT-Electricity production from oil sources (% of total)\n", - "Statistical=0.760, p=0.000\n", - "QAT-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.908, p=0.010\n", - "QAT-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.738, p=0.000\n", - "QAT-Energy related methane emissions (% of total)\n", - "Statistical=0.703, p=0.000\n", - "QAT-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.867, p=0.001\n", - "QAT-Export unit value index (2000 = 100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Export value index (2000 = 100)\n", - "Statistical=0.635, p=0.000\n", - "QAT-Export volume index (2000 = 100)\n", - "Statistical=0.699, p=0.000\n", - "QAT-Exports of goods and services (% of GDP)\n", - "Statistical=0.760, p=0.000\n", - "QAT-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.919, p=0.019\n", - "QAT-Exports of goods and services (current US$)\n", - "Statistical=0.792, p=0.000\n", - "QAT-External balance on goods and services (% of GDP)\n", - "Statistical=0.916, p=0.017\n", - "QAT-External balance on goods and services (current US$)\n", - "Statistical=0.954, p=0.183\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.478, p=0.000\n", - "QAT-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.912, p=0.013\n", - "QAT-Final consumption expenditure (% of GDP)\n", - "Statistical=0.912, p=0.013\n", - "QAT-Final consumption expenditure (current US$)\n", - "Statistical=0.835, p=0.000\n", - "QAT-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.862, p=0.001\n", - "QAT-Firms offering formal training (% of firms)\n", - "Statistical=0.910, p=0.012\n", - "QAT-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.957, p=0.224\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.927, p=0.032\n", - "QAT-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.861, p=0.001\n", - "QAT-Fixed broadband subscriptions\n", - "Statistical=0.931, p=0.043\n", - "QAT-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.902, p=0.007\n", - "QAT-Fixed telephone subscriptions\n", - "Statistical=0.932, p=0.044\n", - "QAT-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Food exports (% of merchandise exports)\n", - "Statistical=0.786, p=0.000\n", - "QAT-Food imports (% of merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Food production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Forest area (% of land area)\n", - "Statistical=0.831, p=0.000\n", - "QAT-Forest area (sq. km)\n", - "Statistical=0.888, p=0.003\n", - "QAT-Forest rents (% of GDP)\n", - "Statistical=0.897, p=0.005\n", - "QAT-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.858, p=0.001\n", - "QAT-Fuel exports (% of merchandise exports)\n", - "Statistical=0.853, p=0.000\n", - "QAT-Fuel imports (% of merchandise imports)\n", - "Statistical=0.916, p=0.016\n", - "QAT-GDP (current US$)\n", - "Statistical=0.898, p=0.005\n", - "QAT-GDP deflator (base year varies by country)\n", - "Statistical=0.855, p=0.001\n", - "QAT-GDP deflator: linked series (base year varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-GDP growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-GDP per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.898, p=0.006\n", - "QAT-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.886, p=0.003\n", - "QAT-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.746, p=0.000\n", - "QAT-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.885, p=0.003\n", - "QAT-GNI (current US$)\n", - "Statistical=0.852, p=0.000\n", - "QAT-GNI growth (annual %)\n", - "Statistical=0.848, p=0.000\n", - "QAT-GNI per capita growth (annual %)\n", - "Statistical=0.966, p=0.388\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.991, p=0.993\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-General government final consumption expenditure (current US$)\n", - "Statistical=0.977, p=0.693\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Gini index\n", - "Statistical=0.958, p=0.236\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Goods imports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Grants and other revenue (% of revenue)\n", - "Statistical=0.789, p=0.000\n", - "QAT-Gross capital formation (% of GDP)\n", - "Statistical=0.633, p=0.000\n", - "QAT-Gross capital formation (current US$)\n", - "Statistical=0.615, p=0.000\n", - "QAT-Gross domestic savings (% of GDP)\n", - "Statistical=0.595, p=0.000\n", - "QAT-Gross domestic savings (current US$)\n", - "Statistical=0.576, p=0.000\n", - "QAT-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.512, p=0.000\n", - "QAT-Gross savings (% of GDP)\n", - "Statistical=0.510, p=0.000\n", - "QAT-Gross savings (current US$)\n", - "Statistical=0.845, p=0.000\n", - "QAT-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.638, p=0.000\n", - "QAT-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.810, p=0.000\n", - "QAT-High-technology exports (% of manufactured exports)\n", - "Statistical=0.810, p=0.000\n", - "QAT-High-technology exports (current US$)\n", - "Statistical=0.688, p=0.000\n", - "QAT-Hospital beds (per 1,000 people)\n", - "Statistical=0.853, p=0.000\n", - "QAT-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.849, p=0.000\n", - "QAT-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.849, p=0.000\n", - "QAT-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.849, p=0.000\n", - "QAT-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.849, p=0.000\n", - "QAT-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.967, p=0.422\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.591, p=0.000\n", - "QAT-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.617, p=0.000\n", - "QAT-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-ICT goods exports (% of total goods exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-ICT goods imports (% total goods imports)\n", - "Statistical=0.528, p=0.000\n", - "QAT-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.896, p=0.005\n", - "QAT-ICT service exports (BoP, current US$)\n", - "Statistical=0.843, p=0.000\n", - "QAT-Import unit value index (2000 = 100)\n", - "Statistical=0.858, p=0.001\n", - "QAT-Import value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Import volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Imports of goods and services (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.844, p=0.000\n", - "QAT-Imports of goods and services (current US$)\n", - "Statistical=0.928, p=0.033\n", - "QAT-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=0.441, p=0.000\n", - "QAT-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "QAT-Income share held by highest 10%\n", - "Statistical=0.335, p=0.000\n", - "QAT-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Income share held by lowest 10%\n", - "Statistical=0.824, p=0.000\n", - "QAT-Income share held by lowest 20%\n", - "Statistical=0.824, p=0.000\n", - "QAT-Income share held by second 20%\n", - "Statistical=0.843, p=0.000\n", - "QAT-Income share held by third 20%\n", - "Statistical=0.748, p=0.000\n", - "QAT-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.833, p=0.000\n", - "QAT-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.867, p=0.001\n", - "QAT-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.888, p=0.003\n", - "QAT-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.748, p=0.000\n", - "QAT-Individuals using the Internet (% of population)\n", - "Statistical=0.841, p=0.000\n", - "QAT-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.908, p=0.010\n", - "QAT-Industry (including construction), value added (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.442, p=0.000\n", - "QAT-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.795, p=0.000\n", - "QAT-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.808, p=0.000\n", - "QAT-Intentional homicides (per 100,000 people)\n", - "Statistical=0.780, p=0.000\n", - "QAT-Interest payments (% of revenue)\n", - "Statistical=0.777, p=0.000\n", - "QAT-International migrant stock (% of population)\n", - "Statistical=0.775, p=0.000\n", - "QAT-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.776, p=0.000\n", - "QAT-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Labor tax and contributions (% of commercial profits)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Land area (sq. km)\n", - "Statistical=0.797, p=0.000\n", - "QAT-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.607, p=0.000\n", - "QAT-Land under cereal production (hectares)\n", - "Statistical=0.617, p=0.000\n", - "QAT-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.848, p=0.000\n", - "QAT-Lifetime risk of maternal death (%)\n", - "Statistical=0.928, p=0.035\n", - "QAT-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Livestock production index (2014-2016 = 100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.811, p=0.000\n", - "QAT-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.886, p=0.003\n", - "QAT-Low-birthweight babies (% of births)\n", - "Statistical=0.893, p=0.004\n", - "QAT-Lower secondary school starting age (years)\n", - "Statistical=0.866, p=0.001\n", - "QAT-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.758, p=0.000\n", - "QAT-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.860, p=0.001\n", - "QAT-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.856, p=0.001\n", - "QAT-Marine protected areas (% of territorial waters)\n", - "Statistical=0.883, p=0.002\n", - "QAT-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.866, p=0.001\n", - "QAT-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.855, p=0.001\n", - "QAT-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.884, p=0.003\n", - "QAT-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.867, p=0.001\n", - "QAT-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.804, p=0.000\n", - "QAT-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.806, p=0.000\n", - "QAT-Merchandise exports (current US$)\n", - "Statistical=0.972, p=0.561\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.796, p=0.000\n", - "QAT-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.840, p=0.000\n", - "QAT-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.756, p=0.000\n", - "QAT-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.951, p=0.153\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.667, p=0.000\n", - "QAT-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.750, p=0.000\n", - "QAT-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.891, p=0.004\n", - "QAT-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.761, p=0.000\n", - "QAT-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Merchandise imports (current US$)\n", - "Statistical=0.891, p=0.004\n", - "QAT-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.874, p=0.001\n", - "QAT-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.968, p=0.459\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.933, p=0.047\n", - "QAT-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.832, p=0.000\n", - "QAT-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.847, p=0.000\n", - "QAT-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.774, p=0.000\n", - "QAT-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.360, p=0.000\n", - "QAT-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.932, p=0.045\n", - "QAT-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.723, p=0.000\n", - "QAT-Merchandise trade (% of GDP)\n", - "Statistical=0.317, p=0.000\n", - "QAT-Methane emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.434, p=0.000\n", - "QAT-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.853, p=0.000\n", - "QAT-Military expenditure (% of GDP)\n", - "Statistical=0.853, p=0.000\n", - "QAT-Military expenditure (% of general government expenditure)\n", - "Statistical=0.732, p=0.000\n", - "QAT-Military expenditure (current USD)\n", - "Statistical=0.921, p=0.022\n", - "QAT-Mineral rents (% of GDP)\n", - "Statistical=0.311, p=0.000\n", - "QAT-Mobile cellular subscriptions\n", - "Statistical=0.822, p=0.000\n", - "QAT-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.822, p=0.000\n", - "QAT-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Natural gas rents (% of GDP)\n", - "Statistical=0.873, p=0.001\n", - "QAT-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.818, p=0.000\n", - "QAT-Net capital account (BoP, current US$)\n", - "Statistical=0.898, p=0.006\n", - "QAT-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.882, p=0.002\n", - "QAT-Net financial account (BoP, current US$)\n", - "Statistical=0.469, p=0.000\n", - "QAT-Net migration\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Net primary income (BoP, current US$)\n", - "Statistical=0.513, p=0.000\n", - "QAT-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.790, p=0.000\n", - "QAT-Net secondary income (BoP, current US$)\n", - "Statistical=0.790, p=0.000\n", - "QAT-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Net trade in goods (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Net trade in goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-New businesses registered (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.793, p=0.000\n", - "QAT-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.755, p=0.000\n", - "QAT-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.860, p=0.001\n", - "QAT-Number of deaths ages 10-14 years\n", - "Statistical=0.898, p=0.005\n", - "QAT-Number of deaths ages 15-19 years\n", - "Statistical=0.899, p=0.006\n", - "QAT-Number of deaths ages 20-24 years\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Number of deaths ages 5-9 years\n", - "Statistical=0.909, p=0.011\n", - "QAT-Number of infant deaths\n", - "Statistical=0.914, p=0.014\n", - "QAT-Number of maternal deaths\n", - "Statistical=0.613, p=0.000\n", - "QAT-Number of neonatal deaths\n", - "Statistical=0.943, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Number of under-five deaths\n", - "Statistical=0.951, p=0.159\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.831, p=0.000\n", - "QAT-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.783, p=0.000\n", - "QAT-Oil rents (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Ores and metals exports (% of merchandise exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.848, p=0.000\n", - "QAT-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.135, p=0.000\n", - "QAT-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.775, p=0.000\n", - "QAT-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.775, p=0.000\n", - "QAT-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.830, p=0.000\n", - "QAT-People using at least basic drinking water services (% of population)\n", - "Statistical=0.830, p=0.000\n", - "QAT-People using at least basic sanitation services (% of population)\n", - "Statistical=0.826, p=0.000\n", - "QAT-People using safely managed sanitation services (% of population)\n", - "Statistical=0.826, p=0.000\n", - "QAT-Permanent cropland (% of land area)\n", - "Statistical=0.826, p=0.000\n", - "QAT-Physicians (per 1,000 people)\n", - "Statistical=0.851, p=0.000\n", - "QAT-Population ages 0-14 (% of total population)\n", - "Statistical=0.851, p=0.000\n", - "QAT-Population ages 15-64 (% of total population)\n", - "Statistical=0.900, p=0.006\n", - "QAT-Population ages 65 and above (% of total population)\n", - "Statistical=0.900, p=0.006\n", - "QAT-Population density (people per sq. km of land area)\n", - "Statistical=0.866, p=0.001\n", - "QAT-Population growth (annual %)\n", - "Statistical=0.851, p=0.000\n", - "QAT-Population in largest city\n", - "Statistical=0.844, p=0.000\n", - "QAT-Population in the largest city (% of urban population)\n", - "Statistical=0.861, p=0.001\n", - "QAT-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.852, p=0.000\n", - "QAT-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.905, p=0.008\n", - "QAT-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.775, p=0.000\n", - "QAT-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.812, p=0.000\n", - "QAT-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.807, p=0.000\n", - "QAT-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Pregnant women receiving prenatal care (%)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.393, p=0.000\n", - "QAT-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.824, p=0.000\n", - "QAT-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.824, p=0.000\n", - "QAT-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.459, p=0.000\n", - "QAT-Prevalence of current tobacco use (% of adults)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.446, p=0.000\n", - "QAT-Prevalence of undernourishment (% of population)\n", - "Statistical=0.900, p=0.006\n", - "QAT-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.459, p=0.000\n", - "QAT-Primary income payments (BoP, current US$)\n", - "Statistical=0.812, p=0.000\n", - "QAT-Primary income receipts (BoP, current US$)\n", - "Statistical=0.446, p=0.000\n", - "QAT-Primary school starting age (years)\n", - "Statistical=0.799, p=0.000\n", - "QAT-Private credit bureau coverage (% of adults)\n", - "Statistical=0.785, p=0.000\n", - "QAT-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.393, p=0.000\n", - "QAT-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.808, p=0.000\n", - "QAT-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.802, p=0.000\n", - "QAT-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.875, p=0.002\n", - "QAT-Procedures to build a warehouse (number)\n", - "Statistical=0.410, p=0.000\n", - "QAT-Procedures to register property (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Profit tax (% of commercial profits)\n", - "Statistical=0.550, p=0.000\n", - "QAT-Progression to secondary school (%)\n", - "Statistical=0.781, p=0.000\n", - "QAT-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.781, p=0.000\n", - "QAT-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.684, p=0.000\n", - "QAT-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.645, p=0.000\n", - "QAT-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.964, p=0.349\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.879, p=0.002\n", - "QAT-Public credit registry coverage (% of adults)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Pump price for gasoline (US$ per liter)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Rail lines (total route-km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.806, p=0.000\n", - "QAT-Refugee population by country or territory of asylum\n", - "Statistical=0.962, p=0.309\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Refugee population by country or territory of origin\n", - "Statistical=0.384, p=0.000\n", - "QAT-Renewable electricity output (% of total electricity output)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.375, p=0.000\n", - "QAT-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.832, p=0.000\n", - "QAT-Research and development expenditure (% of GDP)\n", - "Statistical=0.832, p=0.000\n", - "QAT-Researchers in R&D (per million people)\n", - "Statistical=0.388, p=0.000\n", - "QAT-Reserves and related items (BoP, current US$)\n", - "Statistical=0.882, p=0.002\n", - "QAT-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.856, p=0.001\n", - "QAT-Rural land area (sq. km)\n", - "Statistical=0.856, p=0.001\n", - "QAT-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Rural population\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Rural population (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Rural population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.684, p=0.000\n", - "QAT-Scientific and technical journal articles\n", - "Statistical=0.764, p=0.000\n", - "QAT-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.702, p=0.000\n", - "QAT-Secure Internet servers\n", - "Statistical=0.921, p=0.022\n", - "QAT-Secure Internet servers (per 1 million people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Service exports (BoP, current US$)\n", - "Statistical=0.467, p=0.000\n", - "QAT-Service imports (BoP, current US$)\n", - "Statistical=0.815, p=0.000\n", - "QAT-Sex ratio at birth (male births per female births)\n", - "Statistical=0.815, p=0.000\n", - "QAT-Social contributions (% of revenue)\n", - "Statistical=0.542, p=0.000\n", - "QAT-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.593, p=0.000\n", - "QAT-Start-up procedures to register a business (number)\n", - "Statistical=0.601, p=0.000\n", - "QAT-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.701, p=0.000\n", - "QAT-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.701, p=0.000\n", - "QAT-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.562, p=0.000\n", - "QAT-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.562, p=0.000\n", - "QAT-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.732, p=0.000\n", - "QAT-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.732, p=0.000\n", - "QAT-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.196, p=0.000\n", - "QAT-Surface area (sq. km)\n", - "Statistical=0.181, p=0.000\n", - "QAT-Tax payments (number)\n", - "Statistical=0.835, p=0.000\n", - "QAT-Tax revenue (% of GDP)\n", - "Statistical=0.403, p=0.000\n", - "QAT-Taxes less subsidies on products (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Taxes on goods and services (% of revenue)\n", - "Statistical=0.479, p=0.000\n", - "QAT-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.805, p=0.000\n", - "QAT-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.805, p=0.000\n", - "QAT-Terrestrial protected areas (% of total land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Time required to build a warehouse (days)\n", - "Statistical=0.479, p=0.000\n", - "QAT-Time required to enforce a contract (days)\n", - "Statistical=0.802, p=0.000\n", - "QAT-Time required to get electricity (days)\n", - "Statistical=0.913, p=0.013\n", - "QAT-Time required to register property (days)\n", - "Statistical=0.798, p=0.000\n", - "QAT-Time required to start a business (days)\n", - "Statistical=0.611, p=0.000\n", - "QAT-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.383, p=0.000\n", - "QAT-Time to obtain an electrical connection (days)\n", - "Statistical=0.641, p=0.000\n", - "QAT-Time to prepare and pay taxes (hours)\n", - "Statistical=0.357, p=0.000\n", - "QAT-Time to resolve insolvency (years)\n", - "Statistical=0.538, p=0.000\n", - "QAT-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.552, p=0.000\n", - "QAT-Total fisheries production (metric tons)\n", - "Statistical=0.419, p=0.000\n", - "QAT-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.611, p=0.000\n", - "QAT-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.635, p=0.000\n", - "QAT-Total natural resources rents (% of GDP)\n", - "Statistical=0.786, p=0.000\n", - "QAT-Total reserves (includes gold, current US$)\n", - "Statistical=0.885, p=0.003\n", - "QAT-Total reserves in months of imports\n", - "Statistical=0.631, p=0.000\n", - "QAT-Total reserves minus gold (current US$)\n", - "Statistical=0.632, p=0.000\n", - "QAT-Total tax and contribution rate (% of profit)\n", - "Statistical=0.920, p=0.021\n", - "QAT-Trade (% of GDP)\n", - "Statistical=0.914, p=0.014\n", - "QAT-Trade in services (% of GDP)\n", - "Statistical=0.852, p=0.000\n", - "QAT-Transport services (% of commercial service exports)\n", - "Statistical=0.808, p=0.000\n", - "QAT-Transport services (% of commercial service imports)\n", - "Statistical=0.804, p=0.000\n", - "QAT-Transport services (% of service exports, BoP)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Statistical=0.800, p=0.000\n", - "QAT-Transport services (% of service imports, BoP)\n", - "Statistical=0.967, p=0.424\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Travel services (% of commercial service exports)\n", - "Statistical=0.619, p=0.000\n", - "QAT-Travel services (% of commercial service imports)\n", - "Statistical=0.496, p=0.000\n", - "QAT-Travel services (% of service exports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Travel services (% of service imports, BoP)\n", - "Statistical=0.476, p=0.000\n", - "QAT-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.797, p=0.000\n", - "QAT-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.797, p=0.000\n", - "QAT-UHC service coverage index\n", - "Statistical=0.662, p=0.000\n", - "QAT-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.869, p=0.001\n", - "QAT-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Urban land area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Urban population\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Urban population (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-GDP (current US$)+2\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-GDP (current US$)+3\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-GDP (current US$)+5\n", - "Statistical=0.577, p=0.000\n", - "QAT-GDP (current US$)+8\n", - "Statistical=0.793, p=0.000\n", - "QAT-GDP (current US$)+13\n", - "Statistical=0.770, p=0.000\n", - "QAT-GDP (current US$)+21\n", - "Statistical=0.770, p=0.000\n", - "QAT-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.720, p=0.000\n", - "QAT-Deposit interest rate (%)\n", - "Statistical=0.720, p=0.000\n", - "QAT-Other taxes (% of revenue)\n", - "Statistical=0.763, p=0.000\n", - "QAT-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Taxes on international trade (% of revenue)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.983, p=0.880\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Broad money (% of GDP)\n", - "Statistical=0.627, p=0.000\n", - "QAT-Broad money growth (annual %)\n", - "Statistical=0.718, p=0.000\n", - "QAT-Broad money to total reserves ratio\n", - "Statistical=0.692, p=0.000\n", - "QAT-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.713, p=0.000\n", - "QAT-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.928, p=0.035\n", - "QAT-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-External health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-External health expenditure per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.953, p=0.171\n", - "Data is NORMAL ( H0 not denied )\n", - "QAT-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.788, p=0.000\n", - "QAT-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.629, p=0.000\n", - "QAT-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.620, p=0.000\n", - "QAT-People practicing open defecation (% of population)\n", - "Statistical=0.643, p=0.000\n", - "QAT-Taxes on exports (% of tax revenue)\n", - "Statistical=0.785, p=0.000\n", - "QAT-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.786, p=0.000\n", - "QAT-Country\n", - "Statistical=0.600, p=0.000\n", - "QAT-Year\n", - "Statistical=0.638, p=0.000\n", - "QAT-Continent\n", - "Statistical=0.618, p=0.000\n", - "ARE-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.615, p=0.000\n", - "ARE-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.620, p=0.000\n", - "ARE-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.612, p=0.000\n", - "ARE-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.614, p=0.000\n", - "ARE-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.616, p=0.000\n", - "ARE-Age dependency ratio (% of working-age population)\n", - "Statistical=0.619, p=0.000\n", - "ARE-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.614, p=0.000\n", - "ARE-Agricultural land (% of land area)\n", - "Statistical=0.615, p=0.000\n", - "ARE-Agricultural land (sq. km)\n", - "Statistical=0.628, p=0.000\n", - "ARE-Agricultural methane emissions (% of total)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.819, p=0.000\n", - "ARE-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.912, p=0.013\n", - "ARE-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.842, p=0.000\n", - "ARE-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.804, p=0.000\n", - "ARE-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.799, p=0.000\n", - "ARE-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.833, p=0.000\n", - "ARE-Aquaculture production (metric tons)\n", - "Statistical=0.804, p=0.000\n", - "ARE-Arable land (% of land area)\n", - "Statistical=0.877, p=0.002\n", - "ARE-Arable land (hectares per person)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Arable land (hectares)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Armed forces personnel (% of total labor force)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Arms exports (SIPRI trend indicator values)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.887, p=0.003\n", - "ARE-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.869, p=0.001\n", - "ARE-Average precipitation in depth (mm per year)\n", - "Statistical=0.840, p=0.000\n", - "ARE-Average time to clear exports through customs (days)\n", - "Statistical=0.922, p=0.024\n", - "ARE-Births attended by skilled health staff (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.901, p=0.006\n", - "ARE-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.869, p=0.001\n", - "ARE-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-CO2 emissions (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-CO2 emissions (metric tons per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.901, p=0.006\n", - "ARE-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.872, p=0.001\n", - "ARE-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.816, p=0.000\n", - "ARE-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.955, p=0.194\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.559, p=0.000\n", - "ARE-Capture fisheries production (metric tons)\n", - "Statistical=0.924, p=0.026\n", - "ARE-Cereal production (metric tons)\n", - "Statistical=0.839, p=0.000\n", - "ARE-Cereal yield (kg per hectare)\n", - "Statistical=0.947, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Changes in inventories (current US$)\n", - "Statistical=0.833, p=0.000\n", - "ARE-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.690, p=0.000\n", - "ARE-Children out of school (% of primary school age)\n", - "Statistical=0.802, p=0.000\n", - "ARE-Coal rents (% of GDP)\n", - "Statistical=0.802, p=0.000\n", - "ARE-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.642, p=0.000\n", - "ARE-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.625, p=0.000\n", - "ARE-Commercial service exports (current US$)\n", - "Statistical=0.898, p=0.005\n", - "ARE-Commercial service imports (current US$)\n", - "Statistical=0.914, p=0.014\n", - "ARE-Completeness of birth registration (%)\n", - "Statistical=0.743, p=0.000\n", - "ARE-Consumer price index (2010 = 100)\n", - "Statistical=0.920, p=0.021\n", - "ARE-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.920, p=0.021\n", - "ARE-Crop production index (2014-2016 = 100)\n", - "Statistical=0.916, p=0.016\n", - "ARE-Current account balance (% of GDP)\n", - "Statistical=0.879, p=0.002\n", - "ARE-Current account balance (BoP, current US$)\n", - "Statistical=0.792, p=0.000\n", - "ARE-Current health expenditure (% of GDP)\n", - "Statistical=0.826, p=0.000\n", - "ARE-Current health expenditure per capita (current US$)\n", - "Statistical=0.826, p=0.000\n", - "ARE-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.898, p=0.006\n", - "ARE-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.898, p=0.006\n", - "ARE-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.872, p=0.001\n", - "ARE-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.854, p=0.000\n", - "ARE-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.811, p=0.000\n", - "ARE-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.833, p=0.000\n", - "ARE-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.714, p=0.000\n", - "ARE-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.712, p=0.000\n", - "ARE-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.714, p=0.000\n", - "ARE-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.867, p=0.001\n", - "ARE-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.867, p=0.001\n", - "ARE-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Electric power consumption (kWh per capita)\n", - "Statistical=0.895, p=0.005\n", - "ARE-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.830, p=0.000\n", - "ARE-Electricity production from coal sources (% of total)\n", - "Statistical=0.895, p=0.005\n", - "ARE-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.818, p=0.000\n", - "ARE-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.863, p=0.001\n", - "ARE-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.785, p=0.000\n", - "ARE-Electricity production from oil sources (% of total)\n", - "Statistical=0.943, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.787, p=0.000\n", - "ARE-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.738, p=0.000\n", - "ARE-Energy related methane emissions (% of total)\n", - "Statistical=0.703, p=0.000\n", - "ARE-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.887, p=0.003\n", - "ARE-Export unit value index (2000 = 100)\n", - "Statistical=0.667, p=0.000\n", - "ARE-Export value index (2000 = 100)\n", - "Statistical=0.731, p=0.000\n", - "ARE-Export volume index (2000 = 100)\n", - "Statistical=0.595, p=0.000\n", - "ARE-Exports of goods and services (% of GDP)\n", - "Statistical=0.765, p=0.000\n", - "ARE-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.875, p=0.002\n", - "ARE-Exports of goods and services (current US$)\n", - "Statistical=0.841, p=0.000\n", - "ARE-External balance on goods and services (% of GDP)\n", - "Statistical=0.932, p=0.043\n", - "ARE-External balance on goods and services (current US$)\n", - "Statistical=0.982, p=0.849\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.568, p=0.000\n", - "ARE-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.972, p=0.562\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Final consumption expenditure (% of GDP)\n", - "Statistical=0.972, p=0.569\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Final consumption expenditure (current US$)\n", - "Statistical=0.985, p=0.929\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.890, p=0.004\n", - "ARE-Firms offering formal training (% of firms)\n", - "Statistical=0.864, p=0.001\n", - "ARE-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.922, p=0.023\n", - "ARE-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.947, p=0.119\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.860, p=0.001\n", - "ARE-Fixed broadband subscriptions\n", - "Statistical=0.934, p=0.050\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.933, p=0.047\n", - "ARE-Fixed telephone subscriptions\n", - "Statistical=0.925, p=0.029\n", - "ARE-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Food exports (% of merchandise exports)\n", - "Statistical=0.859, p=0.001\n", - "ARE-Food imports (% of merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Food production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Forest area (% of land area)\n", - "Statistical=0.887, p=0.003\n", - "ARE-Forest area (sq. km)\n", - "Statistical=0.952, p=0.162\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Forest rents (% of GDP)\n", - "Statistical=0.866, p=0.001\n", - "ARE-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.683, p=0.000\n", - "ARE-Fuel exports (% of merchandise exports)\n", - "Statistical=0.917, p=0.018\n", - "ARE-Fuel imports (% of merchandise imports)\n", - "Statistical=0.732, p=0.000\n", - "ARE-GDP (current US$)\n", - "Statistical=0.953, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-GDP deflator (base year varies by country)\n", - "Statistical=0.957, p=0.224\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.835, p=0.000\n", - "ARE-GDP growth (annual %)\n", - "Statistical=0.835, p=0.000\n", - "ARE-GDP per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.548, p=0.000\n", - "ARE-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.806, p=0.000\n", - "ARE-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-GNI (current US$)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-GNI growth (annual %)\n", - "Statistical=0.875, p=0.002\n", - "ARE-GNI per capita growth (annual %)\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.967, p=0.420\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-General government final consumption expenditure (current US$)\n", - "Statistical=0.926, p=0.031\n", - "ARE-Gini index\n", - "Statistical=0.974, p=0.619\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Goods imports (BoP, current US$)\n", - "Statistical=0.930, p=0.038\n", - "ARE-Grants and other revenue (% of revenue)\n", - "Statistical=0.783, p=0.000\n", - "ARE-Gross capital formation (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Gross capital formation (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Gross domestic savings (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Gross domestic savings (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Gross national expenditure (current US$)\n", - "Statistical=0.585, p=0.000\n", - "ARE-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Gross savings (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Gross savings (current US$)\n", - "Statistical=0.756, p=0.000\n", - "ARE-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.810, p=0.000\n", - "ARE-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-High-technology exports (% of manufactured exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-High-technology exports (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Hospital beds (per 1,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.792, p=0.000\n", - "ARE-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.794, p=0.000\n", - "ARE-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.794, p=0.000\n", - "ARE-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.923, p=0.025\n", - "ARE-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.793, p=0.000\n", - "ARE-ICT goods exports (% of total goods exports)\n", - "Statistical=0.792, p=0.000\n", - "ARE-ICT goods imports (% total goods imports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.796, p=0.000\n", - "ARE-ICT service exports (BoP, current US$)\n", - "Statistical=0.824, p=0.000\n", - "ARE-Import unit value index (2000 = 100)\n", - "Statistical=0.822, p=0.000\n", - "ARE-Import value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Import volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Imports of goods and services (% of GDP)\n", - "Statistical=0.540, p=0.000\n", - "ARE-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.877, p=0.002\n", - "ARE-Imports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=0.563, p=0.000\n", - "ARE-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "ARE-Income share held by highest 10%\n", - "Statistical=0.680, p=0.000\n", - "ARE-Income share held by highest 20%\n", - "Statistical=0.835, p=0.000\n", - "ARE-Income share held by lowest 10%\n", - "Statistical=0.384, p=0.000\n", - "ARE-Income share held by lowest 20%\n", - "Statistical=0.872, p=0.001\n", - "ARE-Income share held by second 20%\n", - "Statistical=0.881, p=0.002\n", - "ARE-Income share held by third 20%\n", - "Statistical=0.869, p=0.001\n", - "ARE-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.797, p=0.000\n", - "ARE-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.777, p=0.000\n", - "ARE-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.912, p=0.013\n", - "ARE-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.869, p=0.001\n", - "ARE-Individuals using the Internet (% of population)\n", - "Statistical=0.865, p=0.001\n", - "ARE-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.790, p=0.000\n", - "ARE-Industry (including construction), value added (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.488, p=0.000\n", - "ARE-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.709, p=0.000\n", - "ARE-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.398, p=0.000\n", - "ARE-Intentional homicides (per 100,000 people)\n", - "Statistical=0.672, p=0.000\n", - "ARE-Interest payments (% of revenue)\n", - "Statistical=0.747, p=0.000\n", - "ARE-International migrant stock (% of population)\n", - "Statistical=0.389, p=0.000\n", - "ARE-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.711, p=0.000\n", - "ARE-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.374, p=0.000\n", - "ARE-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.357, p=0.000\n", - "ARE-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.704, p=0.000\n", - "ARE-Land area (sq. km)\n", - "Statistical=0.678, p=0.000\n", - "ARE-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.394, p=0.000\n", - "ARE-Land under cereal production (hectares)\n", - "Statistical=0.604, p=0.000\n", - "ARE-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.927, p=0.033\n", - "ARE-Lifetime risk of maternal death (%)\n", - "Statistical=0.800, p=0.000\n", - "ARE-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.836, p=0.000\n", - "ARE-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.851, p=0.000\n", - "ARE-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.799, p=0.000\n", - "ARE-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.798, p=0.000\n", - "ARE-Low-birthweight babies (% of births)\n", - "Statistical=0.802, p=0.000\n", - "ARE-Lower secondary school starting age (years)\n", - "Statistical=0.864, p=0.001\n", - "ARE-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.863, p=0.001\n", - "ARE-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.858, p=0.001\n", - "ARE-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.908, p=0.010\n", - "ARE-Marine protected areas (% of territorial waters)\n", - "Statistical=0.837, p=0.000\n", - "ARE-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.866, p=0.001\n", - "ARE-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.871, p=0.001\n", - "ARE-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.837, p=0.000\n", - "ARE-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.884, p=0.002\n", - "ARE-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.913, p=0.014\n", - "ARE-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.851, p=0.000\n", - "ARE-Merchandise exports (current US$)\n", - "Statistical=0.864, p=0.001\n", - "ARE-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.800, p=0.000\n", - "ARE-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.911, p=0.012\n", - "ARE-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.918, p=0.018\n", - "ARE-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.468, p=0.000\n", - "ARE-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.941, p=0.081\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.477, p=0.000\n", - "ARE-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.974, p=0.621\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.345, p=0.000\n", - "ARE-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.862, p=0.001\n", - "ARE-Merchandise imports (current US$)\n", - "Statistical=0.912, p=0.013\n", - "ARE-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.824, p=0.000\n", - "ARE-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.837, p=0.000\n", - "ARE-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.833, p=0.000\n", - "ARE-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.842, p=0.000\n", - "ARE-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.844, p=0.000\n", - "ARE-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.817, p=0.000\n", - "ARE-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.799, p=0.000\n", - "ARE-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Merchandise trade (% of GDP)\n", - "Statistical=0.867, p=0.001\n", - "ARE-Methane emissions (% change from 1990)\n", - "Statistical=0.814, p=0.000\n", - "ARE-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.814, p=0.000\n", - "ARE-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.780, p=0.000\n", - "ARE-Military expenditure (% of GDP)\n", - "Statistical=0.780, p=0.000\n", - "ARE-Military expenditure (% of general government expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Military expenditure (current USD)\n", - "Statistical=0.809, p=0.000\n", - "ARE-Mineral rents (% of GDP)\n", - "Statistical=0.668, p=0.000\n", - "ARE-Mobile cellular subscriptions\n", - "Statistical=0.773, p=0.000\n", - "ARE-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.773, p=0.000\n", - "ARE-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Natural gas rents (% of GDP)\n", - "Statistical=0.898, p=0.005\n", - "ARE-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.869, p=0.001\n", - "ARE-Net capital account (BoP, current US$)\n", - "Statistical=0.962, p=0.308\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.796, p=0.000\n", - "ARE-Net financial account (BoP, current US$)\n", - "Statistical=0.768, p=0.000\n", - "ARE-Net migration\n", - "Statistical=0.824, p=0.000\n", - "ARE-Net primary income (BoP, current US$)\n", - "Statistical=0.824, p=0.000\n", - "ARE-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.822, p=0.000\n", - "ARE-Net secondary income (BoP, current US$)\n", - "Statistical=0.822, p=0.000\n", - "ARE-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Net trade in goods (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Net trade in goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-New businesses registered (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.725, p=0.000\n", - "ARE-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.751, p=0.000\n", - "ARE-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.917, p=0.017\n", - "ARE-Number of deaths ages 10-14 years\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Number of deaths ages 15-19 years\n", - "Statistical=0.909, p=0.011\n", - "ARE-Number of deaths ages 20-24 years\n", - "Statistical=0.804, p=0.000\n", - "ARE-Number of deaths ages 5-9 years\n", - "Statistical=0.944, p=0.097\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Number of infant deaths\n", - "Statistical=0.603, p=0.000\n", - "ARE-Number of maternal deaths\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Number of neonatal deaths\n", - "Statistical=0.922, p=0.023\n", - "ARE-Number of under-five deaths\n", - "Statistical=0.871, p=0.001\n", - "ARE-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.819, p=0.000\n", - "ARE-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.784, p=0.000\n", - "ARE-Oil rents (% of GDP)\n", - "Statistical=0.705, p=0.000\n", - "ARE-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.705, p=0.000\n", - "ARE-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.932, p=0.045\n", - "ARE-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.826, p=0.000\n", - "ARE-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.877, p=0.002\n", - "ARE-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.800, p=0.000\n", - "ARE-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.920, p=0.021\n", - "ARE-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.920, p=0.021\n", - "ARE-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.854, p=0.001\n", - "ARE-People using at least basic drinking water services (% of population)\n", - "Statistical=0.854, p=0.001\n", - "ARE-People using at least basic sanitation services (% of population)\n", - "Statistical=0.863, p=0.001\n", - "ARE-People using safely managed sanitation services (% of population)\n", - "Statistical=0.863, p=0.001\n", - "ARE-Permanent cropland (% of land area)\n", - "Statistical=0.928, p=0.034\n", - "ARE-Physicians (per 1,000 people)\n", - "Statistical=0.857, p=0.001\n", - "ARE-Population ages 0-14 (% of total population)\n", - "Statistical=0.857, p=0.001\n", - "ARE-Population ages 15-64 (% of total population)\n", - "Statistical=0.921, p=0.022\n", - "ARE-Population ages 65 and above (% of total population)\n", - "Statistical=0.921, p=0.022\n", - "ARE-Population density (people per sq. km of land area)\n", - "Statistical=0.969, p=0.479\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Population growth (annual %)\n", - "Statistical=0.857, p=0.001\n", - "ARE-Population in largest city\n", - "Statistical=0.887, p=0.003\n", - "ARE-Population in the largest city (% of urban population)\n", - "Statistical=0.862, p=0.001\n", - "ARE-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.920, p=0.021\n", - "ARE-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.887, p=0.003\n", - "ARE-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.854, p=0.001\n", - "ARE-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.831, p=0.000\n", - "ARE-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.831, p=0.000\n", - "ARE-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.803, p=0.000\n", - "ARE-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.803, p=0.000\n", - "ARE-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.858, p=0.001\n", - "ARE-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.805, p=0.000\n", - "ARE-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.805, p=0.000\n", - "ARE-Prevalence of undernourishment (% of population)\n", - "Statistical=0.889, p=0.003\n", - "ARE-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.880, p=0.002\n", - "ARE-Primary income payments (BoP, current US$)\n", - "Statistical=0.847, p=0.000\n", - "ARE-Primary income receipts (BoP, current US$)\n", - "Statistical=0.805, p=0.000\n", - "ARE-Primary school starting age (years)\n", - "Statistical=0.759, p=0.000\n", - "ARE-Private credit bureau coverage (% of adults)\n", - "Statistical=0.804, p=0.000\n", - "ARE-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.831, p=0.000\n", - "ARE-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.814, p=0.000\n", - "ARE-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.803, p=0.000\n", - "ARE-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.889, p=0.003\n", - "ARE-Procedures to build a warehouse (number)\n", - "Statistical=0.922, p=0.024\n", - "ARE-Procedures to register property (number)\n", - "Statistical=0.745, p=0.000\n", - "ARE-Profit tax (% of commercial profits)\n", - "Statistical=0.745, p=0.000\n", - "ARE-Progression to secondary school (%)\n", - "Statistical=0.776, p=0.000\n", - "ARE-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.776, p=0.000\n", - "ARE-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.556, p=0.000\n", - "ARE-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Public credit registry coverage (% of adults)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Pump price for gasoline (US$ per liter)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Rail lines (total route-km)\n", - "Statistical=0.808, p=0.000\n", - "ARE-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.860, p=0.001\n", - "ARE-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.728, p=0.000\n", - "ARE-Refugee population by country or territory of asylum\n", - "Statistical=0.870, p=0.001\n", - "ARE-Refugee population by country or territory of origin\n", - "Statistical=0.892, p=0.004\n", - "ARE-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.830, p=0.000\n", - "ARE-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.830, p=0.000\n", - "ARE-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.773, p=0.000\n", - "ARE-Research and development expenditure (% of GDP)\n", - "Statistical=0.773, p=0.000\n", - "ARE-Researchers in R&D (per million people)\n", - "Statistical=0.834, p=0.000\n", - "ARE-Reserves and related items (BoP, current US$)\n", - "Statistical=0.796, p=0.000\n", - "ARE-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.775, p=0.000\n", - "ARE-Rural land area (sq. km)\n", - "Statistical=0.775, p=0.000\n", - "ARE-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.865, p=0.001\n", - "ARE-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.864, p=0.001\n", - "ARE-Rural population\n", - "Statistical=0.772, p=0.000\n", - "ARE-Rural population (% of total population)\n", - "Statistical=0.772, p=0.000\n", - "ARE-Rural population growth (annual %)\n", - "Statistical=0.761, p=0.000\n", - "ARE-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.761, p=0.000\n", - "ARE-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Scientific and technical journal articles\n", - "Statistical=0.946, p=0.111\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.913, p=0.013\n", - "ARE-Secure Internet servers\n", - "Statistical=0.809, p=0.000\n", - "ARE-Secure Internet servers (per 1 million people)\n", - "Statistical=0.869, p=0.001\n", - "ARE-Service exports (BoP, current US$)\n", - "Statistical=0.864, p=0.001\n", - "ARE-Service imports (BoP, current US$)\n", - "Statistical=0.805, p=0.000\n", - "ARE-Sex ratio at birth (male births per female births)\n", - "Statistical=0.805, p=0.000\n", - "ARE-Social contributions (% of revenue)\n", - "Statistical=0.783, p=0.000\n", - "ARE-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Start-up procedures to register a business (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.685, p=0.000\n", - "ARE-Surface area (sq. km)\n", - "Statistical=0.679, p=0.000\n", - "ARE-Tax payments (number)\n", - "Statistical=0.928, p=0.035\n", - "ARE-Tax revenue (% of GDP)\n", - "Statistical=0.746, p=0.000\n", - "ARE-Taxes less subsidies on products (current US$)\n", - "Statistical=0.804, p=0.000\n", - "ARE-Taxes on goods and services (% of revenue)\n", - "Statistical=0.804, p=0.000\n", - "ARE-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.841, p=0.000\n", - "ARE-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.841, p=0.000\n", - "ARE-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.732, p=0.000\n", - "ARE-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.859, p=0.001\n", - "ARE-Time required to build a warehouse (days)\n", - "Statistical=0.804, p=0.000\n", - "ARE-Time required to enforce a contract (days)\n", - "Statistical=0.752, p=0.000\n", - "ARE-Time required to get electricity (days)\n", - "Statistical=0.754, p=0.000\n", - "ARE-Time required to register property (days)\n", - "Statistical=0.841, p=0.000\n", - "ARE-Time required to start a business (days)\n", - "Statistical=0.643, p=0.000\n", - "ARE-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.646, p=0.000\n", - "ARE-Time to obtain an electrical connection (days)\n", - "Statistical=0.648, p=0.000\n", - "ARE-Time to prepare and pay taxes (hours)\n", - "Statistical=0.648, p=0.000\n", - "ARE-Time to resolve insolvency (years)\n", - "Statistical=0.629, p=0.000\n", - "ARE-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.653, p=0.000\n", - "ARE-Total fisheries production (metric tons)\n", - "Statistical=0.649, p=0.000\n", - "ARE-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.656, p=0.000\n", - "ARE-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.649, p=0.000\n", - "ARE-Total natural resources rents (% of GDP)\n", - "Statistical=0.852, p=0.000\n", - "ARE-Total reserves (includes gold, current US$)\n", - "Statistical=0.851, p=0.000\n", - "ARE-Total reserves in months of imports\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Total reserves minus gold (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Total tax and contribution rate (% of profit)\n", - "Statistical=0.930, p=0.038\n", - "ARE-Trade (% of GDP)\n", - "Statistical=0.825, p=0.000\n", - "ARE-Trade in services (% of GDP)\n", - "Statistical=0.901, p=0.006\n", - "ARE-Transport services (% of commercial service exports)\n", - "Statistical=0.815, p=0.000\n", - "ARE-Transport services (% of commercial service imports)\n", - "Statistical=0.824, p=0.000\n", - "ARE-Transport services (% of service exports, BoP)\n", - "Statistical=0.822, p=0.000\n", - "ARE-Transport services (% of service imports, BoP)\n", - "Statistical=0.822, p=0.000\n", - "ARE-Travel services (% of commercial service exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Travel services (% of commercial service imports)\n", - "Statistical=0.904, p=0.008\n", - "ARE-Travel services (% of service exports, BoP)\n", - "Statistical=0.823, p=0.000\n", - "ARE-Travel services (% of service imports, BoP)\n", - "Statistical=0.823, p=0.000\n", - "ARE-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.796, p=0.000\n", - "ARE-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.796, p=0.000\n", - "ARE-UHC service coverage index\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.813, p=0.000\n", - "ARE-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.556, p=0.000\n", - "ARE-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.556, p=0.000\n", - "ARE-Urban land area (sq. km)\n", - "Statistical=0.556, p=0.000\n", - "ARE-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.556, p=0.000\n", - "ARE-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.556, p=0.000\n", - "ARE-Urban population\n", - "Statistical=0.556, p=0.000\n", - "ARE-Urban population (% of total population)\n", - "Statistical=0.556, p=0.000\n", - "ARE-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-GDP (current US$)+2\n", - "Statistical=0.627, p=0.000\n", - "ARE-GDP (current US$)+3\n", - "Statistical=0.670, p=0.000\n", - "ARE-GDP (current US$)+5\n", - "Statistical=0.945, p=0.103\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-GDP (current US$)+8\n", - "Statistical=0.846, p=0.000\n", - "ARE-GDP (current US$)+13\n", - "Statistical=0.837, p=0.000\n", - "ARE-GDP (current US$)+21\n", - "Statistical=0.837, p=0.000\n", - "ARE-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.868, p=0.001\n", - "ARE-Deposit interest rate (%)\n", - "Statistical=0.867, p=0.001\n", - "ARE-Other taxes (% of revenue)\n", - "Statistical=0.775, p=0.000\n", - "ARE-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.970, p=0.494\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Taxes on international trade (% of revenue)\n", - "Statistical=0.970, p=0.494\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.737, p=0.000\n", - "ARE-Broad money (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Broad money growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Broad money to total reserves ratio\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Claims on central government (annual growth as % of broad money)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.806, p=0.000\n", - "ARE-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-External health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-External health expenditure per capita (current US$)\n", - "Statistical=0.389, p=0.000\n", - "ARE-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.849, p=0.000\n", - "ARE-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.815, p=0.000\n", - "ARE-Net official development assistance and official aid received (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.808, p=0.000\n", - "ARE-People practicing open defecation (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Taxes on exports (% of tax revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.481, p=0.000\n", - "ARE-Country\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARE-Year\n", - "Statistical=0.765, p=0.000\n", - "ARE-Continent\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.611, p=0.000\n", - "SAU-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.613, p=0.000\n", - "SAU-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.596, p=0.000\n", - "SAU-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.620, p=0.000\n", - "SAU-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.604, p=0.000\n", - "SAU-Age dependency ratio (% of working-age population)\n", - "Statistical=0.606, p=0.000\n", - "SAU-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.616, p=0.000\n", - "SAU-Agricultural land (% of land area)\n", - "Statistical=0.610, p=0.000\n", - "SAU-Agricultural land (sq. km)\n", - "Statistical=0.641, p=0.000\n", - "SAU-Agricultural methane emissions (% of total)\n", - "Statistical=0.647, p=0.000\n", - "SAU-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.524, p=0.000\n", - "SAU-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.672, p=0.000\n", - "SAU-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.894, p=0.004\n", - "SAU-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.798, p=0.000\n", - "SAU-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.839, p=0.000\n", - "SAU-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.897, p=0.005\n", - "SAU-Aquaculture production (metric tons)\n", - "Statistical=0.840, p=0.000\n", - "SAU-Arable land (% of land area)\n", - "Statistical=0.825, p=0.000\n", - "SAU-Arable land (hectares per person)\n", - "Statistical=0.951, p=0.158\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Arable land (hectares)\n", - "Statistical=0.911, p=0.012\n", - "SAU-Armed forces personnel (% of total labor force)\n", - "Statistical=0.951, p=0.157\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.911, p=0.012\n", - "SAU-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.974, p=0.606\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.873, p=0.001\n", - "SAU-Average precipitation in depth (mm per year)\n", - "Statistical=0.957, p=0.226\n", - "Data is NORMAL ( H0 not denied )\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SAU-Average time to clear exports through customs (days)\n", - "Statistical=0.823, p=0.000\n", - "SAU-Births attended by skilled health staff (% of total)\n", - "Statistical=0.592, p=0.000\n", - "SAU-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.845, p=0.000\n", - "SAU-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.902, p=0.007\n", - "SAU-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.882, p=0.002\n", - "SAU-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.959, p=0.258\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-CO2 emissions (kt)\n", - "Statistical=0.923, p=0.026\n", - "SAU-CO2 emissions (metric tons per capita)\n", - "Statistical=0.882, p=0.002\n", - "SAU-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.902, p=0.007\n", - "SAU-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.961, p=0.301\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.906, p=0.009\n", - "SAU-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.824, p=0.000\n", - "SAU-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.870, p=0.001\n", - "SAU-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.826, p=0.000\n", - "SAU-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.460, p=0.000\n", - "SAU-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.666, p=0.000\n", - "SAU-Capture fisheries production (metric tons)\n", - "Statistical=0.609, p=0.000\n", - "SAU-Cereal production (metric tons)\n", - "Statistical=0.881, p=0.002\n", - "SAU-Cereal yield (kg per hectare)\n", - "Statistical=0.919, p=0.020\n", - "SAU-Changes in inventories (current US$)\n", - "Statistical=0.886, p=0.003\n", - "SAU-Chemicals (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Children out of school (% of primary school age)\n", - "Statistical=0.593, p=0.000\n", - "SAU-Coal rents (% of GDP)\n", - "Statistical=0.593, p=0.000\n", - "SAU-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.470, p=0.000\n", - "SAU-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.488, p=0.000\n", - "SAU-Commercial service exports (current US$)\n", - "Statistical=0.811, p=0.000\n", - "SAU-Commercial service imports (current US$)\n", - "Statistical=0.931, p=0.041\n", - "SAU-Completeness of birth registration (%)\n", - "Statistical=0.785, p=0.000\n", - "SAU-Consumer price index (2010 = 100)\n", - "Statistical=0.906, p=0.009\n", - "SAU-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.902, p=0.007\n", - "SAU-Crop production index (2014-2016 = 100)\n", - "Statistical=0.922, p=0.023\n", - "SAU-Current account balance (% of GDP)\n", - "Statistical=0.834, p=0.000\n", - "SAU-Current account balance (BoP, current US$)\n", - "Statistical=0.970, p=0.511\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Current health expenditure (% of GDP)\n", - "Statistical=0.883, p=0.002\n", - "SAU-Current health expenditure per capita (current US$)\n", - "Statistical=0.883, p=0.002\n", - "SAU-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.878, p=0.002\n", - "SAU-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.878, p=0.002\n", - "SAU-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.911, p=0.012\n", - "SAU-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.892, p=0.004\n", - "SAU-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.850, p=0.000\n", - "SAU-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.838, p=0.000\n", - "SAU-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.870, p=0.001\n", - "SAU-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.843, p=0.000\n", - "SAU-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.849, p=0.000\n", - "SAU-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.844, p=0.000\n", - "SAU-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.844, p=0.000\n", - "SAU-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.850, p=0.000\n", - "SAU-Electric power consumption (kWh per capita)\n", - "Statistical=0.927, p=0.032\n", - "SAU-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.882, p=0.002\n", - "SAU-Electricity production from coal sources (% of total)\n", - "Statistical=0.927, p=0.032\n", - "SAU-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.932, p=0.045\n", - "SAU-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.836, p=0.000\n", - "SAU-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.925, p=0.029\n", - "SAU-Electricity production from oil sources (% of total)\n", - "Statistical=0.930, p=0.039\n", - "SAU-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.774, p=0.000\n", - "SAU-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.752, p=0.000\n", - "SAU-Energy related methane emissions (% of total)\n", - "Statistical=0.703, p=0.000\n", - "SAU-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.957, p=0.226\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Export unit value index (2000 = 100)\n", - "Statistical=0.896, p=0.005\n", - "SAU-Export value index (2000 = 100)\n", - "Statistical=0.589, p=0.000\n", - "SAU-Export volume index (2000 = 100)\n", - "Statistical=0.442, p=0.000\n", - "SAU-Exports of goods and services (% of GDP)\n", - "Statistical=0.701, p=0.000\n", - "SAU-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.883, p=0.002\n", - "SAU-Exports of goods and services (current US$)\n", - "Statistical=0.811, p=0.000\n", - "SAU-External balance on goods and services (% of GDP)\n", - "Statistical=0.904, p=0.008\n", - "SAU-External balance on goods and services (current US$)\n", - "Statistical=0.812, p=0.000\n", - "SAU-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.951, p=0.158\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Final consumption expenditure (% of GDP)\n", - "Statistical=0.951, p=0.158\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Final consumption expenditure (current US$)\n", - "Statistical=0.980, p=0.796\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.881, p=0.002\n", - "SAU-Firms offering formal training (% of firms)\n", - "Statistical=0.915, p=0.015\n", - "SAU-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.918, p=0.018\n", - "SAU-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.955, p=0.205\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.877, p=0.002\n", - "SAU-Fixed broadband subscriptions\n", - "Statistical=0.862, p=0.001\n", - "SAU-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.953, p=0.170\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Fixed telephone subscriptions\n", - "Statistical=0.880, p=0.002\n", - "SAU-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Food exports (% of merchandise exports)\n", - "Statistical=0.919, p=0.019\n", - "SAU-Food imports (% of merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Food production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Forest area (% of land area)\n", - "Statistical=0.816, p=0.000\n", - "SAU-Forest area (sq. km)\n", - "Statistical=0.907, p=0.009\n", - "SAU-Forest rents (% of GDP)\n", - "Statistical=0.882, p=0.002\n", - "SAU-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.835, p=0.000\n", - "SAU-Fuel exports (% of merchandise exports)\n", - "Statistical=0.829, p=0.000\n", - "SAU-Fuel imports (% of merchandise imports)\n", - "Statistical=0.856, p=0.001\n", - "SAU-GDP (current US$)\n", - "Statistical=0.888, p=0.003\n", - "SAU-GDP deflator (base year varies by country)\n", - "Statistical=0.898, p=0.005\n", - "SAU-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.850, p=0.000\n", - "SAU-GDP growth (annual %)\n", - "Statistical=0.850, p=0.000\n", - "SAU-GDP per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.792, p=0.000\n", - "SAU-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.741, p=0.000\n", - "SAU-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.573, p=0.000\n", - "SAU-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.697, p=0.000\n", - "SAU-GNI (current US$)\n", - "Statistical=0.729, p=0.000\n", - "SAU-GNI growth (annual %)\n", - "Statistical=0.675, p=0.000\n", - "SAU-GNI per capita growth (annual %)\n", - "Statistical=0.689, p=0.000\n", - "SAU-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.954, p=0.184\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-General government final consumption expenditure (current US$)\n", - "Statistical=0.891, p=0.004\n", - "SAU-Gini index\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Goods imports (BoP, current US$)\n", - "Statistical=0.839, p=0.000\n", - "SAU-Grants and other revenue (% of revenue)\n", - "Statistical=0.884, p=0.002\n", - "SAU-Gross capital formation (% of GDP)\n", - "Statistical=0.915, p=0.015\n", - "SAU-Gross capital formation (current US$)\n", - "Statistical=0.824, p=0.000\n", - "SAU-Gross domestic savings (% of GDP)\n", - "Statistical=0.720, p=0.000\n", - "SAU-Gross domestic savings (current US$)\n", - "Statistical=0.757, p=0.000\n", - "SAU-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.718, p=0.000\n", - "SAU-Gross savings (% of GDP)\n", - "Statistical=0.858, p=0.001\n", - "SAU-Gross savings (current US$)\n", - "Statistical=0.818, p=0.000\n", - "SAU-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.851, p=0.000\n", - "SAU-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.782, p=0.000\n", - "SAU-High-technology exports (% of manufactured exports)\n", - "Statistical=0.863, p=0.001\n", - "SAU-High-technology exports (current US$)\n", - "Statistical=0.886, p=0.003\n", - "SAU-Hospital beds (per 1,000 people)\n", - "Statistical=0.847, p=0.000\n", - "SAU-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.850, p=0.000\n", - "SAU-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.713, p=0.000\n", - "SAU-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.713, p=0.000\n", - "SAU-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.713, p=0.000\n", - "SAU-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.931, p=0.042\n", - "SAU-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.963, p=0.329\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.903, p=0.007\n", - "SAU-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-ICT goods exports (% of total goods exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-ICT goods imports (% total goods imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.872, p=0.001\n", - "SAU-ICT service exports (BoP, current US$)\n", - "Statistical=0.762, p=0.000\n", - "SAU-Import unit value index (2000 = 100)\n", - "Statistical=0.763, p=0.000\n", - "SAU-Import value index (2000 = 100)\n", - "Statistical=0.740, p=0.000\n", - "SAU-Import volume index (2000 = 100)\n", - "Statistical=0.685, p=0.000\n", - "SAU-Imports of goods and services (% of GDP)\n", - "Statistical=0.627, p=0.000\n", - "SAU-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.783, p=0.000\n", - "SAU-Imports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "SAU-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Income share held by highest 20%\n", - "Statistical=0.862, p=0.001\n", - "SAU-Income share held by lowest 10%\n", - "Statistical=0.934, p=0.050\n", - "SAU-Income share held by lowest 20%\n", - "Statistical=0.927, p=0.031\n", - "SAU-Income share held by second 20%\n", - "Statistical=0.923, p=0.026\n", - "SAU-Income share held by third 20%\n", - "Statistical=0.784, p=0.000\n", - "SAU-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.928, p=0.034\n", - "SAU-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.755, p=0.000\n", - "SAU-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.785, p=0.000\n", - "SAU-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.784, p=0.000\n", - "SAU-Individuals using the Internet (% of population)\n", - "Statistical=0.773, p=0.000\n", - "SAU-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.776, p=0.000\n", - "SAU-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.454, p=0.000\n", - "SAU-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.862, p=0.001\n", - "SAU-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.829, p=0.000\n", - "SAU-Intentional homicides (per 100,000 people)\n", - "Statistical=0.853, p=0.000\n", - "SAU-Interest payments (% of revenue)\n", - "Statistical=0.855, p=0.001\n", - "SAU-International migrant stock (% of population)\n", - "Statistical=0.817, p=0.000\n", - "SAU-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.846, p=0.000\n", - "SAU-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.881, p=0.002\n", - "SAU-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.866, p=0.001\n", - "SAU-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.877, p=0.002\n", - "SAU-Land area (sq. km)\n", - "Statistical=0.868, p=0.001\n", - "SAU-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.811, p=0.000\n", - "SAU-Land under cereal production (hectares)\n", - "Statistical=0.847, p=0.000\n", - "SAU-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.902, p=0.007\n", - "SAU-Lifetime risk of maternal death (%)\n", - "Statistical=0.966, p=0.396\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.894, p=0.004\n", - "SAU-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.911, p=0.012\n", - "SAU-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.894, p=0.004\n", - "SAU-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.855, p=0.001\n", - "SAU-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.826, p=0.000\n", - "SAU-Low-birthweight babies (% of births)\n", - "Statistical=0.776, p=0.000\n", - "SAU-Lower secondary school starting age (years)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.964, p=0.361\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.912, p=0.013\n", - "SAU-Marine protected areas (% of territorial waters)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.892, p=0.004\n", - "SAU-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.916, p=0.017\n", - "SAU-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.923, p=0.024\n", - "SAU-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.930, p=0.038\n", - "SAU-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.933, p=0.047\n", - "SAU-Merchandise exports (current US$)\n", - "Statistical=0.960, p=0.267\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.913, p=0.014\n", - "SAU-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.917, p=0.017\n", - "SAU-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.953, p=0.180\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.867, p=0.001\n", - "SAU-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.846, p=0.000\n", - "SAU-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.868, p=0.001\n", - "SAU-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.850, p=0.000\n", - "SAU-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.894, p=0.004\n", - "SAU-Merchandise imports (current US$)\n", - "Statistical=0.843, p=0.000\n", - "SAU-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.816, p=0.000\n", - "SAU-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.874, p=0.001\n", - "SAU-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.923, p=0.025\n", - "SAU-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.487, p=0.000\n", - "SAU-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.906, p=0.009\n", - "SAU-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.888, p=0.003\n", - "SAU-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.940, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.856, p=0.001\n", - "SAU-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.954, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.887, p=0.003\n", - "SAU-Merchandise trade (% of GDP)\n", - "Statistical=0.885, p=0.003\n", - "SAU-Methane emissions (% change from 1990)\n", - "Statistical=0.869, p=0.001\n", - "SAU-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.869, p=0.001\n", - "SAU-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.887, p=0.003\n", - "SAU-Military expenditure (% of GDP)\n", - "Statistical=0.887, p=0.003\n", - "SAU-Military expenditure (% of general government expenditure)\n", - "Statistical=0.882, p=0.002\n", - "SAU-Military expenditure (current USD)\n", - "Statistical=0.962, p=0.303\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Mineral rents (% of GDP)\n", - "Statistical=0.667, p=0.000\n", - "SAU-Mobile cellular subscriptions\n", - "Statistical=0.888, p=0.003\n", - "SAU-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.888, p=0.003\n", - "SAU-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Natural gas rents (% of GDP)\n", - "Statistical=0.917, p=0.018\n", - "SAU-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.848, p=0.000\n", - "SAU-Net capital account (BoP, current US$)\n", - "Statistical=0.947, p=0.119\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.933, p=0.046\n", - "SAU-Net financial account (BoP, current US$)\n", - "Statistical=0.882, p=0.002\n", - "SAU-Net migration\n", - "Statistical=0.792, p=0.000\n", - "SAU-Net primary income (BoP, current US$)\n", - "Statistical=0.792, p=0.000\n", - "SAU-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.812, p=0.000\n", - "SAU-Net secondary income (BoP, current US$)\n", - "Statistical=0.811, p=0.000\n", - "SAU-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Net trade in goods (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Net trade in goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-New businesses registered (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.724, p=0.000\n", - "SAU-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.734, p=0.000\n", - "SAU-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Number of deaths ages 10-14 years\n", - "Statistical=0.816, p=0.000\n", - "SAU-Number of deaths ages 15-19 years\n", - "Statistical=0.926, p=0.030\n", - "SAU-Number of deaths ages 20-24 years\n", - "Statistical=0.959, p=0.260\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Number of deaths ages 5-9 years\n", - "Statistical=0.910, p=0.011\n", - "SAU-Number of infant deaths\n", - "Statistical=0.874, p=0.001\n", - "SAU-Number of maternal deaths\n", - "Statistical=0.883, p=0.002\n", - "SAU-Number of neonatal deaths\n", - "Statistical=0.941, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Number of under-five deaths\n", - "Statistical=0.863, p=0.001\n", - "SAU-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.857, p=0.001\n", - "SAU-Oil rents (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Ores and metals exports (% of merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.914, p=0.014\n", - "SAU-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.606, p=0.000\n", - "SAU-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.877, p=0.002\n", - "SAU-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.666, p=0.000\n", - "SAU-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.870, p=0.001\n", - "SAU-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.870, p=0.001\n", - "SAU-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.839, p=0.000\n", - "SAU-People using at least basic drinking water services (% of population)\n", - "Statistical=0.839, p=0.000\n", - "SAU-People using at least basic sanitation services (% of population)\n", - "Statistical=0.860, p=0.001\n", - "SAU-People using safely managed sanitation services (% of population)\n", - "Statistical=0.860, p=0.001\n", - "SAU-Permanent cropland (% of land area)\n", - "Statistical=0.976, p=0.671\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Physicians (per 1,000 people)\n", - "Statistical=0.967, p=0.427\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Population ages 0-14 (% of total population)\n", - "Statistical=0.967, p=0.427\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Population ages 15-64 (% of total population)\n", - "Statistical=0.850, p=0.000\n", - "SAU-Population ages 65 and above (% of total population)\n", - "Statistical=0.850, p=0.000\n", - "SAU-Population density (people per sq. km of land area)\n", - "Statistical=0.964, p=0.345\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Population growth (annual %)\n", - "Statistical=0.967, p=0.427\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Population in largest city\n", - "Statistical=0.933, p=0.049\n", - "SAU-Population in the largest city (% of urban population)\n", - "Statistical=0.967, p=0.415\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.950, p=0.146\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.891, p=0.004\n", - "SAU-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.870, p=0.001\n", - "SAU-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.883, p=0.002\n", - "SAU-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.839, p=0.000\n", - "SAU-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.813, p=0.000\n", - "SAU-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.813, p=0.000\n", - "SAU-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.834, p=0.000\n", - "SAU-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.834, p=0.000\n", - "SAU-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.876, p=0.002\n", - "SAU-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.916, p=0.017\n", - "SAU-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.916, p=0.017\n", - "SAU-Prevalence of undernourishment (% of population)\n", - "Statistical=0.846, p=0.000\n", - "SAU-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.872, p=0.001\n", - "SAU-Primary income payments (BoP, current US$)\n", - "Statistical=0.837, p=0.000\n", - "SAU-Primary income receipts (BoP, current US$)\n", - "Statistical=0.916, p=0.017\n", - "SAU-Primary school starting age (years)\n", - "Statistical=0.920, p=0.021\n", - "SAU-Private credit bureau coverage (% of adults)\n", - "Statistical=0.822, p=0.000\n", - "SAU-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.813, p=0.000\n", - "SAU-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.879, p=0.002\n", - "SAU-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.834, p=0.000\n", - "SAU-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.974, p=0.615\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Procedures to build a warehouse (number)\n", - "Statistical=0.851, p=0.000\n", - "SAU-Procedures to register property (number)\n", - "Statistical=0.817, p=0.000\n", - "SAU-Profit tax (% of commercial profits)\n", - "Statistical=0.817, p=0.000\n", - "SAU-Progression to secondary school (%)\n", - "Statistical=0.829, p=0.000\n", - "SAU-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.829, p=0.000\n", - "SAU-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.888, p=0.003\n", - "SAU-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.834, p=0.000\n", - "SAU-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.801, p=0.000\n", - "SAU-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.904, p=0.008\n", - "SAU-Public credit registry coverage (% of adults)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Pump price for gasoline (US$ per liter)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Rail lines (total route-km)\n", - "Statistical=0.577, p=0.000\n", - "SAU-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.645, p=0.000\n", - "SAU-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.787, p=0.000\n", - "SAU-Refugee population by country or territory of asylum\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Refugee population by country or territory of origin\n", - "Statistical=0.885, p=0.003\n", - "SAU-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.806, p=0.000\n", - "SAU-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.806, p=0.000\n", - "SAU-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.819, p=0.000\n", - "SAU-Research and development expenditure (% of GDP)\n", - "Statistical=0.819, p=0.000\n", - "SAU-Researchers in R&D (per million people)\n", - "Statistical=0.823, p=0.000\n", - "SAU-Reserves and related items (BoP, current US$)\n", - "Statistical=0.933, p=0.046\n", - "SAU-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.894, p=0.004\n", - "SAU-Rural land area (sq. km)\n", - "Statistical=0.894, p=0.004\n", - "SAU-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.945, p=0.103\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.895, p=0.005\n", - "SAU-Rural population\n", - "Statistical=0.813, p=0.000\n", - "SAU-Rural population (% of total population)\n", - "Statistical=0.813, p=0.000\n", - "SAU-Rural population growth (annual %)\n", - "Statistical=0.822, p=0.000\n", - "SAU-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.822, p=0.000\n", - "SAU-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.828, p=0.000\n", - "SAU-Scientific and technical journal articles\n", - "Statistical=0.724, p=0.000\n", - "SAU-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.698, p=0.000\n", - "SAU-Secure Internet servers\n", - "Statistical=0.962, p=0.303\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Secure Internet servers (per 1 million people)\n", - "Statistical=0.797, p=0.000\n", - "SAU-Service exports (BoP, current US$)\n", - "Statistical=0.798, p=0.000\n", - "SAU-Service imports (BoP, current US$)\n", - "Statistical=0.814, p=0.000\n", - "SAU-Sex ratio at birth (male births per female births)\n", - "Statistical=0.814, p=0.000\n", - "SAU-Social contributions (% of revenue)\n", - "Statistical=0.808, p=0.000\n", - "SAU-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.953, p=0.171\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Start-up procedures to register a business (number)\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.900, p=0.006\n", - "SAU-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.900, p=0.006\n", - "SAU-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.871, p=0.001\n", - "SAU-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.871, p=0.001\n", - "SAU-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.839, p=0.000\n", - "SAU-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.839, p=0.000\n", - "SAU-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.819, p=0.000\n", - "SAU-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.855, p=0.001\n", - "SAU-Surface area (sq. km)\n", - "Statistical=0.749, p=0.000\n", - "SAU-Tax payments (number)\n", - "Statistical=0.859, p=0.001\n", - "SAU-Tax revenue (% of GDP)\n", - "Statistical=0.874, p=0.001\n", - "SAU-Taxes less subsidies on products (current US$)\n", - "Statistical=0.804, p=0.000\n", - "SAU-Taxes on goods and services (% of revenue)\n", - "Statistical=0.804, p=0.000\n", - "SAU-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.807, p=0.000\n", - "SAU-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.807, p=0.000\n", - "SAU-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.786, p=0.000\n", - "SAU-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.879, p=0.002\n", - "SAU-Time required to build a warehouse (days)\n", - "Statistical=0.804, p=0.000\n", - "SAU-Time required to enforce a contract (days)\n", - "Statistical=0.864, p=0.001\n", - "SAU-Time required to get electricity (days)\n", - "Statistical=0.924, p=0.027\n", - "SAU-Time required to register property (days)\n", - "Statistical=0.807, p=0.000\n", - "SAU-Time required to start a business (days)\n", - "Statistical=0.402, p=0.000\n", - "SAU-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.668, p=0.000\n", - "SAU-Time to obtain an electrical connection (days)\n", - "Statistical=0.669, p=0.000\n", - "SAU-Time to prepare and pay taxes (hours)\n", - "Statistical=0.669, p=0.000\n", - "SAU-Time to resolve insolvency (years)\n", - "Statistical=0.403, p=0.000\n", - "SAU-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.661, p=0.000\n", - "SAU-Total fisheries production (metric tons)\n", - "Statistical=0.663, p=0.000\n", - "SAU-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.411, p=0.000\n", - "SAU-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.665, p=0.000\n", - "SAU-Total natural resources rents (% of GDP)\n", - "Statistical=0.839, p=0.000\n", - "SAU-Total reserves (includes gold, current US$)\n", - "Statistical=0.814, p=0.000\n", - "SAU-Total reserves in months of imports\n", - "Statistical=0.707, p=0.000\n", - "SAU-Total reserves minus gold (current US$)\n", - "Statistical=0.770, p=0.000\n", - "SAU-Total tax and contribution rate (% of profit)\n", - "Statistical=0.886, p=0.003\n", - "SAU-Trade (% of GDP)\n", - "Statistical=0.832, p=0.000\n", - "SAU-Trade in services (% of GDP)\n", - "Statistical=0.868, p=0.001\n", - "SAU-Transport services (% of commercial service exports)\n", - "Statistical=0.801, p=0.000\n", - "SAU-Transport services (% of commercial service imports)\n", - "Statistical=0.837, p=0.000\n", - "SAU-Transport services (% of service exports, BoP)\n", - "Statistical=0.851, p=0.000\n", - "SAU-Transport services (% of service imports, BoP)\n", - "Statistical=0.922, p=0.024\n", - "SAU-Travel services (% of commercial service exports)\n", - "Statistical=0.842, p=0.000\n", - "SAU-Travel services (% of commercial service imports)\n", - "Statistical=0.898, p=0.006\n", - "SAU-Travel services (% of service exports, BoP)\n", - "Statistical=0.808, p=0.000\n", - "SAU-Travel services (% of service imports, BoP)\n", - "Statistical=0.808, p=0.000\n", - "SAU-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.834, p=0.000\n", - "SAU-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.834, p=0.000\n", - "SAU-UHC service coverage index\n", - "Statistical=0.838, p=0.000\n", - "SAU-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.780, p=0.000\n", - "SAU-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Urban land area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Urban population\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Urban population (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-GDP (current US$)+2\n", - "Statistical=0.690, p=0.000\n", - "SAU-GDP (current US$)+3\n", - "Statistical=0.629, p=0.000\n", - "SAU-GDP (current US$)+5\n", - "Statistical=0.956, p=0.216\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-GDP (current US$)+8\n", - "Statistical=0.965, p=0.366\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-GDP (current US$)+13\n", - "Statistical=0.909, p=0.011\n", - "SAU-GDP (current US$)+21\n", - "Statistical=0.909, p=0.011\n", - "SAU-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.879, p=0.002\n", - "SAU-Deposit interest rate (%)\n", - "Statistical=0.879, p=0.002\n", - "SAU-Other taxes (% of revenue)\n", - "Statistical=0.870, p=0.001\n", - "SAU-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.971, p=0.540\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Taxes on international trade (% of revenue)\n", - "Statistical=0.971, p=0.540\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.962, p=0.318\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Broad money (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Broad money growth (annual %)\n", - "Statistical=0.913, p=0.014\n", - "SAU-Broad money to total reserves ratio\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SAU-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.853, p=0.000\n", - "SAU-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.897, p=0.005\n", - "SAU-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.760, p=0.000\n", - "SAU-External health expenditure (% of current health expenditure)\n", - "Statistical=0.773, p=0.000\n", - "SAU-External health expenditure per capita (current US$)\n", - "Statistical=0.662, p=0.000\n", - "SAU-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.901, p=0.006\n", - "SAU-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.824, p=0.000\n", - "SAU-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.782, p=0.000\n", - "SAU-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.809, p=0.000\n", - "SAU-People practicing open defecation (% of population)\n", - "Statistical=0.696, p=0.000\n", - "SAU-Taxes on exports (% of tax revenue)\n", - "Statistical=0.811, p=0.000\n", - "SAU-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.898, p=0.006\n", - "SAU-Country\n", - "Statistical=0.755, p=0.000\n", - "SAU-Year\n", - "Statistical=0.776, p=0.000\n", - "SAU-Continent\n", - "Statistical=0.565, p=0.000\n", - "AZE-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Adjusted net national income (current US$)\n", - "Statistical=0.793, p=0.000\n", - "AZE-Adjusted net national income per capita (current US$)\n", - "Statistical=0.799, p=0.000\n", - "AZE-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.772, p=0.000\n", - "AZE-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.771, p=0.000\n", - "AZE-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.757, p=0.000\n", - "AZE-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.751, p=0.000\n", - "AZE-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.609, p=0.000\n", - "AZE-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.614, p=0.000\n", - "AZE-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.631, p=0.000\n", - "AZE-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.618, p=0.000\n", - "AZE-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.656, p=0.000\n", - "AZE-Age dependency ratio (% of working-age population)\n", - "Statistical=0.620, p=0.000\n", - "AZE-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.618, p=0.000\n", - "AZE-Agricultural land (% of land area)\n", - "Statistical=0.621, p=0.000\n", - "AZE-Agricultural land (sq. km)\n", - "Statistical=0.621, p=0.000\n", - "AZE-Agricultural methane emissions (% of total)\n", - "Statistical=0.903, p=0.007\n", - "AZE-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.943, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.864, p=0.001\n", - "AZE-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.822, p=0.000\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "AZE-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.862, p=0.001\n", - "AZE-Aquaculture production (metric tons)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Arable land (% of land area)\n", - "Statistical=0.827, p=0.000\n", - "AZE-Arable land (hectares per person)\n", - "Statistical=0.860, p=0.001\n", - "AZE-Arable land (hectares)\n", - "Statistical=0.798, p=0.000\n", - "AZE-Armed forces personnel (% of total labor force)\n", - "Statistical=0.858, p=0.001\n", - "AZE-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.798, p=0.000\n", - "AZE-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.854, p=0.001\n", - "AZE-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.894, p=0.004\n", - "AZE-Average precipitation in depth (mm per year)\n", - "Statistical=0.878, p=0.002\n", - "AZE-Average time to clear exports through customs (days)\n", - "Statistical=0.882, p=0.002\n", - "AZE-Births attended by skilled health staff (% of total)\n", - "Statistical=0.908, p=0.010\n", - "AZE-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.843, p=0.000\n", - "AZE-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.924, p=0.027\n", - "AZE-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.842, p=0.000\n", - "AZE-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.920, p=0.021\n", - "AZE-CO2 emissions (kt)\n", - "Statistical=0.737, p=0.000\n", - "AZE-CO2 emissions (metric tons per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.913, p=0.014\n", - "AZE-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.903, p=0.008\n", - "AZE-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.815, p=0.000\n", - "AZE-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.752, p=0.000\n", - "AZE-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.895, p=0.005\n", - "AZE-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.647, p=0.000\n", - "AZE-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.639, p=0.000\n", - "AZE-Capture fisheries production (metric tons)\n", - "Statistical=0.663, p=0.000\n", - "AZE-Cereal production (metric tons)\n", - "Statistical=0.836, p=0.000\n", - "AZE-Cereal yield (kg per hectare)\n", - "Statistical=0.952, p=0.163\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Changes in inventories (current US$)\n", - "Statistical=0.815, p=0.000\n", - "AZE-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.664, p=0.000\n", - "AZE-Children out of school (% of primary school age)\n", - "Statistical=0.684, p=0.000\n", - "AZE-Coal rents (% of GDP)\n", - "Statistical=0.703, p=0.000\n", - "AZE-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.884, p=0.002\n", - "AZE-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.874, p=0.001\n", - "AZE-Commercial service exports (current US$)\n", - "Statistical=0.801, p=0.000\n", - "AZE-Commercial service imports (current US$)\n", - "Statistical=0.865, p=0.001\n", - "AZE-Completeness of birth registration (%)\n", - "Statistical=0.837, p=0.000\n", - "AZE-Consumer price index (2010 = 100)\n", - "Statistical=0.930, p=0.039\n", - "AZE-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.804, p=0.000\n", - "AZE-Crop production index (2014-2016 = 100)\n", - "Statistical=0.902, p=0.007\n", - "AZE-Current account balance (% of GDP)\n", - "Statistical=0.821, p=0.000\n", - "AZE-Current account balance (BoP, current US$)\n", - "Statistical=0.965, p=0.375\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Current health expenditure (% of GDP)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Current health expenditure per capita (current US$)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.902, p=0.007\n", - "AZE-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.906, p=0.009\n", - "AZE-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.951, p=0.156\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.931, p=0.041\n", - "AZE-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.933, p=0.046\n", - "AZE-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.923, p=0.025\n", - "AZE-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.920, p=0.021\n", - "AZE-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.909, p=0.011\n", - "AZE-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.918, p=0.018\n", - "AZE-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.963, p=0.334\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.947, p=0.119\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.947, p=0.119\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.913, p=0.014\n", - "AZE-Electric power consumption (kWh per capita)\n", - "Statistical=0.919, p=0.020\n", - "AZE-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.903, p=0.007\n", - "AZE-Electricity production from coal sources (% of total)\n", - "Statistical=0.918, p=0.019\n", - "AZE-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.902, p=0.007\n", - "AZE-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.685, p=0.000\n", - "AZE-Electricity production from nuclear sources (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Electricity production from oil sources (% of total)\n", - "Statistical=0.774, p=0.000\n", - "AZE-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.743, p=0.000\n", - "AZE-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.920, p=0.021\n", - "AZE-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Energy related methane emissions (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Energy use (kg of oil equivalent per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.915, p=0.015\n", - "AZE-Export unit value index (2000 = 100)\n", - "Statistical=0.854, p=0.001\n", - "AZE-Export value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Export volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Exports of goods and services (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.920, p=0.020\n", - "AZE-Exports of goods and services (current US$)\n", - "Statistical=0.797, p=0.000\n", - "AZE-External balance on goods and services (% of GDP)\n", - "Statistical=0.915, p=0.016\n", - "AZE-External balance on goods and services (current US$)\n", - "Statistical=0.962, p=0.307\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.718, p=0.000\n", - "AZE-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.832, p=0.000\n", - "AZE-Final consumption expenditure (% of GDP)\n", - "Statistical=0.831, p=0.000\n", - "AZE-Final consumption expenditure (current US$)\n", - "Statistical=0.824, p=0.000\n", - "AZE-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.951, p=0.157\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Firms offering formal training (% of firms)\n", - "Statistical=0.895, p=0.005\n", - "AZE-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.910, p=0.011\n", - "AZE-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.876, p=0.002\n", - "AZE-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.884, p=0.003\n", - "AZE-Fixed broadband subscriptions\n", - "Statistical=0.848, p=0.000\n", - "AZE-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.815, p=0.000\n", - "AZE-Fixed telephone subscriptions\n", - "Statistical=0.751, p=0.000\n", - "AZE-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Food exports (% of merchandise exports)\n", - "Statistical=0.934, p=0.050\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Food imports (% of merchandise imports)\n", - "Statistical=0.859, p=0.001\n", - "AZE-Food production index (2014-2016 = 100)\n", - "Statistical=0.886, p=0.003\n", - "AZE-Forest area (% of land area)\n", - "Statistical=0.855, p=0.001\n", - "AZE-Forest area (sq. km)\n", - "Statistical=0.830, p=0.000\n", - "AZE-Forest rents (% of GDP)\n", - "Statistical=0.789, p=0.000\n", - "AZE-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.836, p=0.000\n", - "AZE-Fuel exports (% of merchandise exports)\n", - "Statistical=0.799, p=0.000\n", - "AZE-Fuel imports (% of merchandise imports)\n", - "Statistical=0.843, p=0.000\n", - "AZE-GDP (current US$)\n", - "Statistical=0.915, p=0.015\n", - "AZE-GDP deflator (base year varies by country)\n", - "Statistical=0.903, p=0.007\n", - "AZE-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.881, p=0.002\n", - "AZE-GDP growth (annual %)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-GDP per capita (current US$)\n", - "Statistical=0.751, p=0.000\n", - "AZE-GDP per capita growth (annual %)\n", - "Statistical=0.734, p=0.000\n", - "AZE-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.889, p=0.003\n", - "AZE-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.931, p=0.043\n", - "AZE-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.954, p=0.193\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.908, p=0.010\n", - "AZE-GNI (current US$)\n", - "Statistical=0.890, p=0.003\n", - "AZE-GNI growth (annual %)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-GNI per capita growth (annual %)\n", - "Statistical=0.919, p=0.019\n", - "AZE-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.960, p=0.269\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-General government final consumption expenditure (current US$)\n", - "Statistical=0.924, p=0.026\n", - "AZE-Gini index\n", - "Statistical=0.922, p=0.023\n", - "AZE-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Goods imports (BoP, current US$)\n", - "Statistical=0.797, p=0.000\n", - "AZE-Grants and other revenue (% of revenue)\n", - "Statistical=0.755, p=0.000\n", - "AZE-Gross capital formation (% of GDP)\n", - "Statistical=0.800, p=0.000\n", - "AZE-Gross capital formation (current US$)\n", - "Statistical=0.878, p=0.002\n", - "AZE-Gross domestic savings (% of GDP)\n", - "Statistical=0.906, p=0.009\n", - "AZE-Gross domestic savings (current US$)\n", - "Statistical=0.905, p=0.008\n", - "AZE-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Gross national expenditure (current US$)\n", - "Statistical=0.565, p=0.000\n", - "AZE-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.887, p=0.003\n", - "AZE-Gross savings (% of GDP)\n", - "Statistical=0.903, p=0.007\n", - "AZE-Gross savings (current US$)\n", - "Statistical=0.941, p=0.081\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.857, p=0.001\n", - "AZE-High-technology exports (% of manufactured exports)\n", - "Statistical=0.793, p=0.000\n", - "AZE-High-technology exports (current US$)\n", - "Statistical=0.967, p=0.422\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Hospital beds (per 1,000 people)\n", - "Statistical=0.893, p=0.004\n", - "AZE-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.918, p=0.019\n", - "AZE-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.735, p=0.000\n", - "AZE-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.735, p=0.000\n", - "AZE-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.735, p=0.000\n", - "AZE-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=0.478, p=0.000\n", - "AZE-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.952, p=0.170\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.948, p=0.125\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.759, p=0.000\n", - "AZE-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-ICT goods exports (% of total goods exports)\n", - "Statistical=0.525, p=0.000\n", - "AZE-ICT goods imports (% total goods imports)\n", - "Statistical=0.871, p=0.001\n", - "AZE-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.904, p=0.008\n", - "AZE-ICT service exports (BoP, current US$)\n", - "Statistical=0.806, p=0.000\n", - "AZE-Import unit value index (2000 = 100)\n", - "Statistical=0.782, p=0.000\n", - "AZE-Import value index (2000 = 100)\n", - "Statistical=0.933, p=0.048\n", - "AZE-Import volume index (2000 = 100)\n", - "Statistical=0.812, p=0.000\n", - "AZE-Imports of goods and services (% of GDP)\n", - "Statistical=0.891, p=0.004\n", - "AZE-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.922, p=0.023\n", - "AZE-Imports of goods and services (current US$)\n", - "Statistical=0.875, p=0.002\n", - "AZE-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=0.391, p=0.000\n", - "AZE-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "AZE-Income share held by highest 10%\n", - "Statistical=0.676, p=0.000\n", - "AZE-Income share held by highest 20%\n", - "Statistical=0.743, p=0.000\n", - "AZE-Income share held by lowest 10%\n", - "Statistical=0.392, p=0.000\n", - "AZE-Income share held by lowest 20%\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Income share held by second 20%\n", - "Statistical=0.837, p=0.000\n", - "AZE-Income share held by third 20%\n", - "Statistical=0.828, p=0.000\n", - "AZE-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.888, p=0.003\n", - "AZE-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.816, p=0.000\n", - "AZE-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.795, p=0.000\n", - "AZE-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.833, p=0.000\n", - "AZE-Individuals using the Internet (% of population)\n", - "Statistical=0.790, p=0.000\n", - "AZE-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.755, p=0.000\n", - "AZE-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.439, p=0.000\n", - "AZE-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.733, p=0.000\n", - "AZE-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.730, p=0.000\n", - "AZE-Intentional homicides (per 100,000 people)\n", - "Statistical=0.748, p=0.000\n", - "AZE-Interest payments (% of revenue)\n", - "Statistical=0.723, p=0.000\n", - "AZE-International migrant stock (% of population)\n", - "Statistical=0.719, p=0.000\n", - "AZE-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.713, p=0.000\n", - "AZE-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.726, p=0.000\n", - "AZE-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.781, p=0.000\n", - "AZE-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.683, p=0.000\n", - "AZE-Land area (sq. km)\n", - "Statistical=0.831, p=0.000\n", - "AZE-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.708, p=0.000\n", - "AZE-Land under cereal production (hectares)\n", - "Statistical=0.675, p=0.000\n", - "AZE-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.959, p=0.256\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Lifetime risk of maternal death (%)\n", - "Statistical=0.891, p=0.004\n", - "AZE-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.915, p=0.015\n", - "AZE-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.839, p=0.000\n", - "AZE-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.833, p=0.000\n", - "AZE-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.904, p=0.008\n", - "AZE-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.874, p=0.001\n", - "AZE-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Low-birthweight babies (% of births)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Lower secondary school starting age (years)\n", - "Statistical=0.933, p=0.047\n", - "AZE-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.959, p=0.256\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.865, p=0.001\n", - "AZE-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.906, p=0.009\n", - "AZE-Marine protected areas (% of territorial waters)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.839, p=0.000\n", - "AZE-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.843, p=0.000\n", - "AZE-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.846, p=0.000\n", - "AZE-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.808, p=0.000\n", - "AZE-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.893, p=0.004\n", - "AZE-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.821, p=0.000\n", - "AZE-Merchandise exports (current US$)\n", - "Statistical=0.860, p=0.001\n", - "AZE-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.819, p=0.000\n", - "AZE-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.875, p=0.002\n", - "AZE-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.822, p=0.000\n", - "AZE-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.918, p=0.018\n", - "AZE-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.684, p=0.000\n", - "AZE-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.923, p=0.025\n", - "AZE-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.660, p=0.000\n", - "AZE-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.899, p=0.006\n", - "AZE-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.665, p=0.000\n", - "AZE-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.851, p=0.000\n", - "AZE-Merchandise imports (current US$)\n", - "Statistical=0.748, p=0.000\n", - "AZE-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.783, p=0.000\n", - "AZE-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.840, p=0.000\n", - "AZE-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.836, p=0.000\n", - "AZE-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.887, p=0.003\n", - "AZE-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.834, p=0.000\n", - "AZE-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.846, p=0.000\n", - "AZE-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.773, p=0.000\n", - "AZE-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.773, p=0.000\n", - "AZE-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.975, p=0.635\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.844, p=0.000\n", - "AZE-Merchandise trade (% of GDP)\n", - "Statistical=0.925, p=0.029\n", - "AZE-Methane emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.771, p=0.000\n", - "AZE-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.851, p=0.000\n", - "AZE-Military expenditure (% of GDP)\n", - "Statistical=0.851, p=0.000\n", - "AZE-Military expenditure (% of general government expenditure)\n", - "Statistical=0.843, p=0.000\n", - "AZE-Military expenditure (current USD)\n", - "Statistical=0.960, p=0.266\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Mineral rents (% of GDP)\n", - "Statistical=0.757, p=0.000\n", - "AZE-Mobile cellular subscriptions\n", - "Statistical=0.791, p=0.000\n", - "AZE-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.766, p=0.000\n", - "AZE-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.900, p=0.006\n", - "AZE-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.809, p=0.000\n", - "AZE-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.886, p=0.003\n", - "AZE-Natural gas rents (% of GDP)\n", - "Statistical=0.913, p=0.014\n", - "AZE-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.498, p=0.000\n", - "AZE-Net capital account (BoP, current US$)\n", - "Statistical=0.903, p=0.007\n", - "AZE-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Net financial account (BoP, current US$)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Net migration\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Net primary income (BoP, current US$)\n", - "Statistical=0.792, p=0.000\n", - "AZE-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.826, p=0.000\n", - "AZE-Net secondary income (BoP, current US$)\n", - "Statistical=0.845, p=0.000\n", - "AZE-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.765, p=0.000\n", - "AZE-Net trade in goods (BoP, current US$)\n", - "Statistical=0.794, p=0.000\n", - "AZE-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.794, p=0.000\n", - "AZE-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.791, p=0.000\n", - "AZE-New businesses registered (number)\n", - "Statistical=0.741, p=0.000\n", - "AZE-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.674, p=0.000\n", - "AZE-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.669, p=0.000\n", - "AZE-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.849, p=0.000\n", - "AZE-Number of deaths ages 10-14 years\n", - "Statistical=0.867, p=0.001\n", - "AZE-Number of deaths ages 15-19 years\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Number of deaths ages 20-24 years\n", - "Statistical=0.917, p=0.018\n", - "AZE-Number of deaths ages 5-9 years\n", - "Statistical=0.933, p=0.046\n", - "AZE-Number of infant deaths\n", - "Statistical=0.808, p=0.000\n", - "AZE-Number of maternal deaths\n", - "Statistical=0.933, p=0.048\n", - "AZE-Number of neonatal deaths\n", - "Statistical=0.849, p=0.000\n", - "AZE-Number of under-five deaths\n", - "Statistical=0.865, p=0.001\n", - "AZE-Nurses and midwives (per 1,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Official exchange rate (LCU per US$, period average)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Oil rents (% of GDP)\n", - "Statistical=0.958, p=0.243\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.925, p=0.028\n", - "AZE-Ores and metals imports (% of merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.914, p=0.015\n", - "AZE-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.842, p=0.000\n", - "AZE-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.857, p=0.001\n", - "AZE-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.818, p=0.000\n", - "AZE-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.818, p=0.000\n", - "AZE-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.841, p=0.000\n", - "AZE-People using at least basic drinking water services (% of population)\n", - "Statistical=0.854, p=0.001\n", - "AZE-People using at least basic sanitation services (% of population)\n", - "Statistical=0.931, p=0.042\n", - "AZE-People using safely managed sanitation services (% of population)\n", - "Statistical=0.931, p=0.042\n", - "AZE-Permanent cropland (% of land area)\n", - "Statistical=0.922, p=0.024\n", - "AZE-Physicians (per 1,000 people)\n", - "Statistical=0.819, p=0.000\n", - "AZE-Population ages 0-14 (% of total population)\n", - "Statistical=0.819, p=0.000\n", - "AZE-Population ages 15-64 (% of total population)\n", - "Statistical=0.843, p=0.000\n", - "AZE-Population ages 65 and above (% of total population)\n", - "Statistical=0.862, p=0.001\n", - "AZE-Population density (people per sq. km of land area)\n", - "Statistical=0.927, p=0.032\n", - "AZE-Population growth (annual %)\n", - "Statistical=0.819, p=0.000\n", - "AZE-Population in largest city\n", - "Statistical=0.831, p=0.000\n", - "AZE-Population in the largest city (% of urban population)\n", - "Statistical=0.817, p=0.000\n", - "AZE-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.774, p=0.000\n", - "AZE-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.791, p=0.000\n", - "AZE-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.818, p=0.000\n", - "AZE-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.821, p=0.000\n", - "AZE-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.841, p=0.000\n", - "AZE-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Pregnant women receiving prenatal care (%)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.770, p=0.000\n", - "AZE-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.838, p=0.000\n", - "AZE-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.849, p=0.000\n", - "AZE-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.853, p=0.000\n", - "AZE-Prevalence of current tobacco use (% of adults)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.772, p=0.000\n", - "AZE-Prevalence of undernourishment (% of population)\n", - "Statistical=0.843, p=0.000\n", - "AZE-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.859, p=0.001\n", - "AZE-Primary income payments (BoP, current US$)\n", - "Statistical=0.861, p=0.001\n", - "AZE-Primary income receipts (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Primary school starting age (years)\n", - "Statistical=0.819, p=0.000\n", - "AZE-Private credit bureau coverage (% of adults)\n", - "Statistical=0.849, p=0.000\n", - "AZE-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.816, p=0.000\n", - "AZE-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.838, p=0.000\n", - "AZE-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.952, p=0.166\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Procedures to build a warehouse (number)\n", - "Statistical=0.906, p=0.009\n", - "AZE-Procedures to register property (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Profit tax (% of commercial profits)\n", - "Statistical=0.755, p=0.000\n", - "AZE-Progression to secondary school (%)\n", - "Statistical=0.847, p=0.000\n", - "AZE-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.845, p=0.000\n", - "AZE-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.684, p=0.000\n", - "AZE-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.844, p=0.000\n", - "AZE-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.839, p=0.000\n", - "AZE-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.949, p=0.137\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.841, p=0.000\n", - "AZE-Public credit registry coverage (% of adults)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.739, p=0.000\n", - "AZE-Rail lines (total route-km)\n", - "Statistical=0.847, p=0.000\n", - "AZE-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.887, p=0.003\n", - "AZE-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.954, p=0.192\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Refugee population by country or territory of asylum\n", - "Statistical=0.963, p=0.322\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Refugee population by country or territory of origin\n", - "Statistical=0.871, p=0.001\n", - "AZE-Renewable electricity output (% of total electricity output)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.818, p=0.000\n", - "AZE-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.842, p=0.000\n", - "AZE-Research and development expenditure (% of GDP)\n", - "Statistical=0.896, p=0.005\n", - "AZE-Researchers in R&D (per million people)\n", - "Statistical=0.758, p=0.000\n", - "AZE-Reserves and related items (BoP, current US$)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.819, p=0.000\n", - "AZE-Rural land area (sq. km)\n", - "Statistical=0.826, p=0.000\n", - "AZE-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.980, p=0.802\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Rural population\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Rural population (% of total population)\n", - "Statistical=0.824, p=0.000\n", - "AZE-Rural population growth (annual %)\n", - "Statistical=0.839, p=0.000\n", - "AZE-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.893, p=0.004\n", - "AZE-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.963, p=0.334\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Scientific and technical journal articles\n", - "Statistical=0.954, p=0.192\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Secure Internet servers\n", - "Statistical=0.944, p=0.097\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Secure Internet servers (per 1 million people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Service exports (BoP, current US$)\n", - "Statistical=0.797, p=0.000\n", - "AZE-Service imports (BoP, current US$)\n", - "Statistical=0.837, p=0.000\n", - "AZE-Sex ratio at birth (male births per female births)\n", - "Statistical=0.873, p=0.001\n", - "AZE-Social contributions (% of revenue)\n", - "Statistical=0.776, p=0.000\n", - "AZE-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.921, p=0.022\n", - "AZE-Start-up procedures to register a business (number)\n", - "Statistical=0.925, p=0.028\n", - "AZE-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.817, p=0.000\n", - "AZE-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.823, p=0.000\n", - "AZE-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.794, p=0.000\n", - "AZE-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.794, p=0.000\n", - "AZE-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.839, p=0.000\n", - "AZE-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.854, p=0.001\n", - "AZE-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.821, p=0.000\n", - "AZE-Surface area (sq. km)\n", - "Statistical=0.794, p=0.000\n", - "AZE-Tax payments (number)\n", - "Statistical=0.840, p=0.000\n", - "AZE-Tax revenue (% of GDP)\n", - "Statistical=0.932, p=0.043\n", - "AZE-Taxes less subsidies on products (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Taxes on goods and services (% of revenue)\n", - "Statistical=0.803, p=0.000\n", - "AZE-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.823, p=0.000\n", - "AZE-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.846, p=0.000\n", - "AZE-Terrestrial protected areas (% of total land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Time required to build a warehouse (days)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Time required to enforce a contract (days)\n", - "Statistical=0.843, p=0.000\n", - "AZE-Time required to get electricity (days)\n", - "Statistical=0.958, p=0.248\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Time required to register property (days)\n", - "Statistical=0.823, p=0.000\n", - "AZE-Time required to start a business (days)\n", - "Statistical=0.672, p=0.000\n", - "AZE-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.674, p=0.000\n", - "AZE-Time to obtain an electrical connection (days)\n", - "Statistical=0.674, p=0.000\n", - "AZE-Time to prepare and pay taxes (hours)\n", - "Statistical=0.674, p=0.000\n", - "AZE-Time to resolve insolvency (years)\n", - "Statistical=0.671, p=0.000\n", - "AZE-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.671, p=0.000\n", - "AZE-Total fisheries production (metric tons)\n", - "Statistical=0.671, p=0.000\n", - "AZE-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.671, p=0.000\n", - "AZE-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.672, p=0.000\n", - "AZE-Total natural resources rents (% of GDP)\n", - "Statistical=0.839, p=0.000\n", - "AZE-Total reserves (includes gold, current US$)\n", - "Statistical=0.857, p=0.001\n", - "AZE-Total reserves in months of imports\n", - "Statistical=0.949, p=0.132\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Total reserves minus gold (current US$)\n", - "Statistical=0.873, p=0.001\n", - "AZE-Total tax and contribution rate (% of profit)\n", - "Statistical=0.933, p=0.048\n", - "AZE-Trade (% of GDP)\n", - "Statistical=0.761, p=0.000\n", - "AZE-Trade in services (% of GDP)\n", - "Statistical=0.898, p=0.006\n", - "AZE-Transport services (% of commercial service exports)\n", - "Statistical=0.806, p=0.000\n", - "AZE-Transport services (% of commercial service imports)\n", - "Statistical=0.866, p=0.001\n", - "AZE-Transport services (% of service exports, BoP)\n", - "Statistical=0.865, p=0.001\n", - "AZE-Transport services (% of service imports, BoP)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Travel services (% of commercial service exports)\n", - "Statistical=0.843, p=0.000\n", - "AZE-Travel services (% of commercial service imports)\n", - "Statistical=0.919, p=0.019\n", - "AZE-Travel services (% of service exports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Travel services (% of service imports, BoP)\n", - "Statistical=0.834, p=0.000\n", - "AZE-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.836, p=0.000\n", - "AZE-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.864, p=0.001\n", - "AZE-UHC service coverage index\n", - "Statistical=0.842, p=0.000\n", - "AZE-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.896, p=0.005\n", - "AZE-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.747, p=0.000\n", - "AZE-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.783, p=0.000\n", - "AZE-Urban land area (sq. km)\n", - "Statistical=0.742, p=0.000\n", - "AZE-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.658, p=0.000\n", - "AZE-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.649, p=0.000\n", - "AZE-Urban population\n", - "Statistical=0.700, p=0.000\n", - "AZE-Urban population (% of total population)\n", - "Statistical=0.789, p=0.000\n", - "AZE-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.668, p=0.000\n", - "AZE-GDP (current US$)+1\n", - "Statistical=0.668, p=0.000\n", - "AZE-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-GDP (current US$)+2\n", - "Statistical=0.709, p=0.000\n", - "AZE-GDP (current US$)+3\n", - "Statistical=0.836, p=0.000\n", - "AZE-GDP (current US$)+5\n", - "Statistical=0.961, p=0.286\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-GDP (current US$)+8\n", - "Statistical=0.912, p=0.012\n", - "AZE-GDP (current US$)+13\n", - "Statistical=0.795, p=0.000\n", - "AZE-GDP (current US$)+21\n", - "Statistical=0.795, p=0.000\n", - "AZE-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.834, p=0.000\n", - "AZE-Deposit interest rate (%)\n", - "Statistical=0.849, p=0.000\n", - "AZE-Other taxes (% of revenue)\n", - "Statistical=0.875, p=0.002\n", - "AZE-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Taxes on international trade (% of revenue)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "AZE-Broad money (% of GDP)\n", - "Statistical=0.894, p=0.004\n", - "AZE-Broad money growth (annual %)\n", - "Statistical=0.914, p=0.015\n", - "AZE-Broad money to total reserves ratio\n", - "Statistical=0.903, p=0.007\n", - "AZE-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.916, p=0.016\n", - "AZE-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.714, p=0.000\n", - "AZE-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.892, p=0.004\n", - "AZE-External health expenditure (% of current health expenditure)\n", - "Statistical=0.750, p=0.000\n", - "AZE-External health expenditure per capita (current US$)\n", - "Statistical=0.567, p=0.000\n", - "AZE-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.902, p=0.007\n", - "AZE-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.883, p=0.002\n", - "AZE-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.902, p=0.007\n", - "AZE-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.701, p=0.000\n", - "AZE-People practicing open defecation (% of population)\n", - "Statistical=0.814, p=0.000\n", - "AZE-Taxes on exports (% of tax revenue)\n", - "Statistical=0.692, p=0.000\n", - "AZE-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.918, p=0.018\n", - "AZE-Country\n", - "Statistical=0.887, p=0.003\n", - "AZE-Year\n", - "Statistical=0.697, p=0.000\n", - "AZE-Continent\n", - "Statistical=0.793, p=0.000\n", - "YEM-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Adjusted net national income (current US$)\n", - "Statistical=0.834, p=0.000\n", - "YEM-Adjusted net national income per capita (current US$)\n", - "Statistical=0.900, p=0.006\n", - "YEM-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.807, p=0.000\n", - "YEM-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.932, p=0.044\n", - "YEM-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.897, p=0.005\n", - "YEM-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.930, p=0.039\n", - "YEM-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.603, p=0.000\n", - "YEM-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.603, p=0.000\n", - "YEM-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.603, p=0.000\n", - "YEM-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.603, p=0.000\n", - "YEM-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.603, p=0.000\n", - "YEM-Age dependency ratio (% of working-age population)\n", - "Statistical=0.603, p=0.000\n", - "YEM-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.603, p=0.000\n", - "YEM-Agricultural land (% of land area)\n", - "Statistical=0.603, p=0.000\n", - "YEM-Agricultural land (sq. km)\n", - "Statistical=0.603, p=0.000\n", - "YEM-Agricultural methane emissions (% of total)\n", - "Statistical=0.802, p=0.000\n", - "YEM-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.797, p=0.000\n", - "YEM-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.807, p=0.000\n", - "YEM-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.880, p=0.002\n", - "YEM-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Aquaculture production (metric tons)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Arable land (% of land area)\n", - "Statistical=0.905, p=0.008\n", - "YEM-Arable land (hectares per person)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Arable land (hectares)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Armed forces personnel (% of total labor force)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Arms exports (SIPRI trend indicator values)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.959, p=0.258\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.960, p=0.274\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Average precipitation in depth (mm per year)\n", - "Statistical=0.950, p=0.145\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Average time to clear exports through customs (days)\n", - "Statistical=0.874, p=0.001\n", - "YEM-Births attended by skilled health staff (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.901, p=0.006\n", - "YEM-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.908, p=0.010\n", - "YEM-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.898, p=0.005\n", - "YEM-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-CO2 emissions (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-CO2 emissions (metric tons per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.908, p=0.010\n", - "YEM-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.866, p=0.001\n", - "YEM-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.917, p=0.017\n", - "YEM-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.873, p=0.001\n", - "YEM-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.715, p=0.000\n", - "YEM-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.805, p=0.000\n", - "YEM-Capture fisheries production (metric tons)\n", - "Statistical=0.650, p=0.000\n", - "YEM-Cereal production (metric tons)\n", - "Statistical=0.892, p=0.004\n", - "YEM-Cereal yield (kg per hectare)\n", - "Statistical=0.858, p=0.001\n", - "YEM-Changes in inventories (current US$)\n", - "Statistical=0.898, p=0.006\n", - "YEM-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.666, p=0.000\n", - "YEM-Children out of school (% of primary school age)\n", - "Statistical=0.922, p=0.023\n", - "YEM-Coal rents (% of GDP)\n", - "Statistical=0.922, p=0.023\n", - "YEM-Combustible renewables and waste (% of total energy)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.652, p=0.000\n", - "YEM-Commercial service exports (current US$)\n", - "Statistical=0.640, p=0.000\n", - "YEM-Commercial service imports (current US$)\n", - "Statistical=0.872, p=0.001\n", - "YEM-Completeness of birth registration (%)\n", - "Statistical=0.697, p=0.000\n", - "YEM-Consumer price index (2010 = 100)\n", - "Statistical=0.866, p=0.001\n", - "YEM-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.831, p=0.000\n", - "YEM-Crop production index (2014-2016 = 100)\n", - "Statistical=0.808, p=0.000\n", - "YEM-Current account balance (% of GDP)\n", - "Statistical=0.898, p=0.006\n", - "YEM-Current account balance (BoP, current US$)\n", - "Statistical=0.979, p=0.775\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Current health expenditure (% of GDP)\n", - "Statistical=0.967, p=0.418\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Current health expenditure per capita (current US$)\n", - "Statistical=0.967, p=0.418\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.903, p=0.007\n", - "YEM-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.888, p=0.003\n", - "YEM-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.911, p=0.012\n", - "YEM-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.813, p=0.000\n", - "YEM-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.966, p=0.387\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.909, p=0.011\n", - "YEM-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.749, p=0.000\n", - "YEM-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.751, p=0.000\n", - "YEM-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.749, p=0.000\n", - "YEM-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.756, p=0.000\n", - "YEM-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.756, p=0.000\n", - "YEM-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Electric power consumption (kWh per capita)\n", - "Statistical=0.897, p=0.005\n", - "YEM-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.901, p=0.007\n", - "YEM-Electricity production from coal sources (% of total)\n", - "Statistical=0.897, p=0.005\n", - "YEM-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.757, p=0.000\n", - "YEM-Electricity production from nuclear sources (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Electricity production from oil sources (% of total)\n", - "Statistical=0.820, p=0.000\n", - "YEM-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.751, p=0.000\n", - "YEM-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.622, p=0.000\n", - "YEM-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.917, p=0.018\n", - "YEM-Export unit value index (2000 = 100)\n", - "Statistical=0.885, p=0.003\n", - "YEM-Export value index (2000 = 100)\n", - "Statistical=0.438, p=0.000\n", - "YEM-Export volume index (2000 = 100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Exports of goods and services (% of GDP)\n", - "Statistical=0.438, p=0.000\n", - "YEM-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.790, p=0.000\n", - "YEM-Exports of goods and services (current US$)\n", - "Statistical=0.832, p=0.000\n", - "YEM-External balance on goods and services (% of GDP)\n", - "Statistical=0.889, p=0.003\n", - "YEM-External balance on goods and services (current US$)\n", - "Statistical=0.908, p=0.010\n", - "YEM-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.949, p=0.131\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Final consumption expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Final consumption expenditure (current US$)\n", - "Statistical=0.908, p=0.010\n", - "YEM-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.902, p=0.007\n", - "YEM-Firms offering formal training (% of firms)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.961, p=0.297\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Firms using banks to finance working capital (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Firms with female participation in ownership (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Fixed broadband subscriptions\n", - "Statistical=0.847, p=0.000\n", - "YEM-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.909, p=0.010\n", - "YEM-Fixed telephone subscriptions\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Food exports (% of merchandise exports)\n", - "Statistical=0.862, p=0.001\n", - "YEM-Food imports (% of merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Food production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Forest area (% of land area)\n", - "Statistical=0.919, p=0.020\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "YEM-Forest area (sq. km)\n", - "Statistical=0.931, p=0.041\n", - "YEM-Forest rents (% of GDP)\n", - "Statistical=0.929, p=0.037\n", - "YEM-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.835, p=0.000\n", - "YEM-Fuel exports (% of merchandise exports)\n", - "Statistical=0.780, p=0.000\n", - "YEM-Fuel imports (% of merchandise imports)\n", - "Statistical=0.666, p=0.000\n", - "YEM-GDP (current US$)\n", - "Statistical=0.955, p=0.196\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-GDP deflator (base year varies by country)\n", - "Statistical=0.883, p=0.002\n", - "YEM-GDP deflator: linked series (base year varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-GDP growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-GDP per capita (current US$)\n", - "Statistical=0.678, p=0.000\n", - "YEM-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.876, p=0.002\n", - "YEM-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.803, p=0.000\n", - "YEM-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.797, p=0.000\n", - "YEM-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.810, p=0.000\n", - "YEM-GNI (current US$)\n", - "Statistical=0.818, p=0.000\n", - "YEM-GNI growth (annual %)\n", - "Statistical=0.800, p=0.000\n", - "YEM-GNI per capita growth (annual %)\n", - "Statistical=0.815, p=0.000\n", - "YEM-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.923, p=0.024\n", - "YEM-General government final consumption expenditure (current US$)\n", - "Statistical=0.912, p=0.013\n", - "YEM-Gini index\n", - "Statistical=0.914, p=0.014\n", - "YEM-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Goods imports (BoP, current US$)\n", - "Statistical=0.789, p=0.000\n", - "YEM-Grants and other revenue (% of revenue)\n", - "Statistical=0.865, p=0.001\n", - "YEM-Gross capital formation (% of GDP)\n", - "Statistical=0.607, p=0.000\n", - "YEM-Gross capital formation (current US$)\n", - "Statistical=0.752, p=0.000\n", - "YEM-Gross domestic savings (% of GDP)\n", - "Statistical=0.852, p=0.000\n", - "YEM-Gross domestic savings (current US$)\n", - "Statistical=0.734, p=0.000\n", - "YEM-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.748, p=0.000\n", - "YEM-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.800, p=0.000\n", - "YEM-Gross savings (% of GDP)\n", - "Statistical=0.876, p=0.002\n", - "YEM-Gross savings (current US$)\n", - "Statistical=0.860, p=0.001\n", - "YEM-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.894, p=0.004\n", - "YEM-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.802, p=0.000\n", - "YEM-High-technology exports (% of manufactured exports)\n", - "Statistical=0.853, p=0.000\n", - "YEM-High-technology exports (current US$)\n", - "Statistical=0.878, p=0.002\n", - "YEM-Hospital beds (per 1,000 people)\n", - "Statistical=0.921, p=0.022\n", - "YEM-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.857, p=0.001\n", - "YEM-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.753, p=0.000\n", - "YEM-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.753, p=0.000\n", - "YEM-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.753, p=0.000\n", - "YEM-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.957, p=0.223\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.771, p=0.000\n", - "YEM-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.768, p=0.000\n", - "YEM-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-ICT goods exports (% of total goods exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-ICT goods imports (% total goods imports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.881, p=0.002\n", - "YEM-ICT service exports (BoP, current US$)\n", - "Statistical=0.787, p=0.000\n", - "YEM-Import unit value index (2000 = 100)\n", - "Statistical=0.895, p=0.005\n", - "YEM-Import value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Import volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Imports of goods and services (% of GDP)\n", - "Statistical=0.921, p=0.023\n", - "YEM-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.836, p=0.000\n", - "YEM-Imports of goods and services (current US$)\n", - "Statistical=0.833, p=0.000\n", - "YEM-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "YEM-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Income share held by lowest 10%\n", - "Statistical=0.954, p=0.187\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Income share held by lowest 20%\n", - "Statistical=0.954, p=0.187\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Income share held by second 20%\n", - "Statistical=0.815, p=0.000\n", - "YEM-Income share held by third 20%\n", - "Statistical=0.819, p=0.000\n", - "YEM-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.812, p=0.000\n", - "YEM-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.698, p=0.000\n", - "YEM-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.796, p=0.000\n", - "YEM-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.805, p=0.000\n", - "YEM-Individuals using the Internet (% of population)\n", - "Statistical=0.784, p=0.000\n", - "YEM-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.861, p=0.001\n", - "YEM-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.494, p=0.000\n", - "YEM-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Intentional homicides (per 100,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Interest payments (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-International migrant stock (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Labor tax and contributions (% of commercial profits)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Land area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Land under cereal production (hectares)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.886, p=0.003\n", - "YEM-Lifetime risk of maternal death (%)\n", - "Statistical=0.910, p=0.011\n", - "YEM-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Livestock production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.625, p=0.000\n", - "YEM-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.819, p=0.000\n", - "YEM-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.948, p=0.123\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Low-birthweight babies (% of births)\n", - "Statistical=0.967, p=0.410\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Lower secondary school starting age (years)\n", - "Statistical=0.812, p=0.000\n", - "YEM-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.872, p=0.001\n", - "YEM-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.815, p=0.000\n", - "YEM-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Marine protected areas (% of territorial waters)\n", - "Statistical=0.854, p=0.001\n", - "YEM-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.878, p=0.002\n", - "YEM-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.893, p=0.004\n", - "YEM-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.924, p=0.027\n", - "YEM-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.866, p=0.001\n", - "YEM-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.757, p=0.000\n", - "YEM-Merchandise exports (current US$)\n", - "Statistical=0.870, p=0.001\n", - "YEM-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.840, p=0.000\n", - "YEM-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.859, p=0.001\n", - "YEM-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.804, p=0.000\n", - "YEM-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.862, p=0.001\n", - "YEM-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.628, p=0.000\n", - "YEM-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.802, p=0.000\n", - "YEM-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.628, p=0.000\n", - "YEM-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.851, p=0.000\n", - "YEM-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.628, p=0.000\n", - "YEM-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.874, p=0.001\n", - "YEM-Merchandise imports (current US$)\n", - "Statistical=0.819, p=0.000\n", - "YEM-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.702, p=0.000\n", - "YEM-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.873, p=0.001\n", - "YEM-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.848, p=0.000\n", - "YEM-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.872, p=0.001\n", - "YEM-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.819, p=0.000\n", - "YEM-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.619, p=0.000\n", - "YEM-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.613, p=0.000\n", - "YEM-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.739, p=0.000\n", - "YEM-Merchandise trade (% of GDP)\n", - "Statistical=0.672, p=0.000\n", - "YEM-Methane emissions (% change from 1990)\n", - "Statistical=0.622, p=0.000\n", - "YEM-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.622, p=0.000\n", - "YEM-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.580, p=0.000\n", - "YEM-Military expenditure (% of GDP)\n", - "Statistical=0.554, p=0.000\n", - "YEM-Military expenditure (% of general government expenditure)\n", - "Statistical=0.748, p=0.000\n", - "YEM-Military expenditure (current USD)\n", - "Statistical=0.610, p=0.000\n", - "YEM-Mineral rents (% of GDP)\n", - "Statistical=0.651, p=0.000\n", - "YEM-Mobile cellular subscriptions\n", - "Statistical=0.601, p=0.000\n", - "YEM-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.646, p=0.000\n", - "YEM-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.866, p=0.001\n", - "YEM-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.754, p=0.000\n", - "YEM-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.803, p=0.000\n", - "YEM-Natural gas rents (% of GDP)\n", - "Statistical=0.926, p=0.031\n", - "YEM-Net barter terms of trade index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Net capital account (BoP, current US$)\n", - "Statistical=0.954, p=0.189\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Net errors and omissions (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Net financial account (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Net migration\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Net primary income (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Net secondary income (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.622, p=0.000\n", - "YEM-Net trade in goods (BoP, current US$)\n", - "Statistical=0.622, p=0.000\n", - "YEM-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.622, p=0.000\n", - "YEM-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.622, p=0.000\n", - "YEM-New businesses registered (number)\n", - "Statistical=0.622, p=0.000\n", - "YEM-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.692, p=0.000\n", - "YEM-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.705, p=0.000\n", - "YEM-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.836, p=0.000\n", - "YEM-Number of deaths ages 10-14 years\n", - "Statistical=0.779, p=0.000\n", - "YEM-Number of deaths ages 15-19 years\n", - "Statistical=0.826, p=0.000\n", - "YEM-Number of deaths ages 20-24 years\n", - "Statistical=0.900, p=0.006\n", - "YEM-Number of deaths ages 5-9 years\n", - "Statistical=0.919, p=0.019\n", - "YEM-Number of infant deaths\n", - "Statistical=0.858, p=0.001\n", - "YEM-Number of maternal deaths\n", - "Statistical=0.713, p=0.000\n", - "YEM-Number of neonatal deaths\n", - "Statistical=0.980, p=0.785\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Number of under-five deaths\n", - "Statistical=0.963, p=0.329\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.890, p=0.004\n", - "YEM-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.801, p=0.000\n", - "YEM-Oil rents (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Ores and metals exports (% of merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.947, p=0.119\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.810, p=0.000\n", - "YEM-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.700, p=0.000\n", - "YEM-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.904, p=0.008\n", - "YEM-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.952, p=0.167\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.952, p=0.167\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.869, p=0.001\n", - "YEM-People using at least basic drinking water services (% of population)\n", - "Statistical=0.906, p=0.009\n", - "YEM-People using at least basic sanitation services (% of population)\n", - "Statistical=0.829, p=0.000\n", - "YEM-People using safely managed sanitation services (% of population)\n", - "Statistical=0.829, p=0.000\n", - "YEM-Permanent cropland (% of land area)\n", - "Statistical=0.944, p=0.097\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Physicians (per 1,000 people)\n", - "Statistical=0.958, p=0.248\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Population ages 0-14 (% of total population)\n", - "Statistical=0.958, p=0.248\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Population ages 15-64 (% of total population)\n", - "Statistical=0.886, p=0.003\n", - "YEM-Population ages 65 and above (% of total population)\n", - "Statistical=0.917, p=0.017\n", - "YEM-Population density (people per sq. km of land area)\n", - "Statistical=0.956, p=0.209\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Population in largest city\n", - "Statistical=0.890, p=0.004\n", - "YEM-Population in the largest city (% of urban population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.866, p=0.001\n", - "YEM-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.869, p=0.001\n", - "YEM-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Pregnant women receiving prenatal care (%)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.865, p=0.001\n", - "YEM-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.901, p=0.007\n", - "YEM-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Prevalence of current tobacco use (% of adults)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Prevalence of undernourishment (% of population)\n", - "Statistical=0.886, p=0.003\n", - "YEM-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Primary income payments (BoP, current US$)\n", - "Statistical=0.923, p=0.025\n", - "YEM-Primary income receipts (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Primary school starting age (years)\n", - "Statistical=0.887, p=0.003\n", - "YEM-Private credit bureau coverage (% of adults)\n", - "Statistical=0.877, p=0.002\n", - "YEM-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.863, p=0.001\n", - "YEM-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.865, p=0.001\n", - "YEM-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Procedures to build a warehouse (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Procedures to register property (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Profit tax (% of commercial profits)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Progression to secondary school (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.776, p=0.000\n", - "YEM-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.806, p=0.000\n", - "YEM-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.781, p=0.000\n", - "YEM-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.734, p=0.000\n", - "YEM-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.726, p=0.000\n", - "YEM-Public credit registry coverage (% of adults)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Pump price for gasoline (US$ per liter)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Rail lines (total route-km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.794, p=0.000\n", - "YEM-Refugee population by country or territory of asylum\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Refugee population by country or territory of origin\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Renewable electricity output (% of total electricity output)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Research and development expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Researchers in R&D (per million people)\n", - "Statistical=0.607, p=0.000\n", - "YEM-Reserves and related items (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Rural land area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Rural population\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Rural population (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Rural population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.810, p=0.000\n", - "YEM-Scientific and technical journal articles\n", - "Statistical=0.847, p=0.000\n", - "YEM-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.856, p=0.001\n", - "YEM-Secure Internet servers\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Secure Internet servers (per 1 million people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Service exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Service imports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Sex ratio at birth (male births per female births)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Social contributions (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Start-up procedures to register a business (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.961, p=0.294\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.961, p=0.294\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.855, p=0.001\n", - "YEM-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.905, p=0.008\n", - "YEM-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.576, p=0.000\n", - "YEM-Surface area (sq. km)\n", - "Statistical=0.596, p=0.000\n", - "YEM-Tax payments (number)\n", - "Statistical=0.889, p=0.003\n", - "YEM-Tax revenue (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Taxes less subsidies on products (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Taxes on goods and services (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Terrestrial protected areas (% of total land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Time required to build a warehouse (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Time required to enforce a contract (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Time required to get electricity (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Time required to register property (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Time required to start a business (days)\n", - "Statistical=0.393, p=0.000\n", - "YEM-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.393, p=0.000\n", - "YEM-Time to obtain an electrical connection (days)\n", - "Statistical=0.424, p=0.000\n", - "YEM-Time to prepare and pay taxes (hours)\n", - "Statistical=0.398, p=0.000\n", - "YEM-Time to resolve insolvency (years)\n", - "Statistical=0.382, p=0.000\n", - "YEM-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.393, p=0.000\n", - "YEM-Total fisheries production (metric tons)\n", - "Statistical=0.448, p=0.000\n", - "YEM-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.397, p=0.000\n", - "YEM-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.398, p=0.000\n", - "YEM-Total natural resources rents (% of GDP)\n", - "Statistical=0.731, p=0.000\n", - "YEM-Total reserves (includes gold, current US$)\n", - "Statistical=0.837, p=0.000\n", - "YEM-Total reserves in months of imports\n", - "Statistical=0.757, p=0.000\n", - "YEM-Total reserves minus gold (current US$)\n", - "Statistical=0.740, p=0.000\n", - "YEM-Total tax and contribution rate (% of profit)\n", - "Statistical=0.967, p=0.425\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Trade (% of GDP)\n", - "Statistical=0.769, p=0.000\n", - "YEM-Trade in services (% of GDP)\n", - "Statistical=0.958, p=0.248\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Transport services (% of commercial service exports)\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Transport services (% of commercial service imports)\n", - "Statistical=0.890, p=0.004\n", - "YEM-Transport services (% of service exports, BoP)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Transport services (% of service imports, BoP)\n", - "Statistical=0.758, p=0.000\n", - "YEM-Travel services (% of commercial service exports)\n", - "Statistical=0.780, p=0.000\n", - "YEM-Travel services (% of commercial service imports)\n", - "Statistical=0.706, p=0.000\n", - "YEM-Travel services (% of service exports, BoP)\n", - "Statistical=0.645, p=0.000\n", - "YEM-Travel services (% of service imports, BoP)\n", - "Statistical=0.645, p=0.000\n", - "YEM-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.720, p=0.000\n", - "YEM-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.761, p=0.000\n", - "YEM-UHC service coverage index\n", - "Statistical=0.692, p=0.000\n", - "YEM-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.767, p=0.000\n", - "YEM-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.729, p=0.000\n", - "YEM-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.806, p=0.000\n", - "YEM-Urban land area (sq. km)\n", - "Statistical=0.825, p=0.000\n", - "YEM-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.892, p=0.004\n", - "YEM-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.892, p=0.004\n", - "YEM-Urban population\n", - "Statistical=0.868, p=0.001\n", - "YEM-Urban population (% of total population)\n", - "Statistical=0.824, p=0.000\n", - "YEM-Urban population growth (annual %)\n", - "Statistical=0.732, p=0.000\n", - "YEM-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.732, p=0.000\n", - "YEM-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.732, p=0.000\n", - "YEM-GDP (current US$)+1\n", - "Statistical=0.732, p=0.000\n", - "YEM-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-GDP (current US$)+2\n", - "Statistical=0.838, p=0.000\n", - "YEM-GDP (current US$)+3\n", - "Statistical=0.961, p=0.284\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-GDP (current US$)+5\n", - "Statistical=0.950, p=0.142\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-GDP (current US$)+8\n", - "Statistical=0.977, p=0.713\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-GDP (current US$)+13\n", - "Statistical=0.916, p=0.016\n", - "YEM-GDP (current US$)+21\n", - "Statistical=0.916, p=0.016\n", - "YEM-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.879, p=0.002\n", - "YEM-Deposit interest rate (%)\n", - "Statistical=0.915, p=0.015\n", - "YEM-Other taxes (% of revenue)\n", - "Statistical=0.955, p=0.194\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.971, p=0.539\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Taxes on international trade (% of revenue)\n", - "Statistical=0.971, p=0.539\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.776, p=0.000\n", - "YEM-Broad money (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Broad money growth (annual %)\n", - "Statistical=0.777, p=0.000\n", - "YEM-Broad money to total reserves ratio\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.772, p=0.000\n", - "YEM-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.761, p=0.000\n", - "YEM-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-External health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "YEM-External health expenditure per capita (current US$)\n", - "Statistical=0.732, p=0.000\n", - "YEM-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.827, p=0.000\n", - "YEM-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.815, p=0.000\n", - "YEM-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.754, p=0.000\n", - "YEM-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.903, p=0.007\n", - "YEM-People practicing open defecation (% of population)\n", - "Statistical=0.716, p=0.000\n", - "YEM-Taxes on exports (% of tax revenue)\n", - "Statistical=0.830, p=0.000\n", - "YEM-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.670, p=0.000\n", - "YEM-Country\n", - "Statistical=0.596, p=0.000\n", - "YEM-Year\n", - "Statistical=0.587, p=0.000\n", - "YEM-Continent\n", - "Statistical=0.630, p=0.000\n", - "OMN-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Adjusted savings: net national savings (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Age dependency ratio (% of working-age population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Agricultural land (% of land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Agricultural land (sq. km)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Agricultural methane emissions (% of total)\n", - "Statistical=0.875, p=0.002\n", - "OMN-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.558, p=0.000\n", - "OMN-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.550, p=0.000\n", - "OMN-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.907, p=0.010\n", - "OMN-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.838, p=0.000\n", - "OMN-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.845, p=0.000\n", - "OMN-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.931, p=0.041\n", - "OMN-Aquaculture production (metric tons)\n", - "Statistical=0.884, p=0.003\n", - "OMN-Arable land (% of land area)\n", - "Statistical=0.868, p=0.001\n", - "OMN-Arable land (hectares per person)\n", - "Statistical=0.965, p=0.384\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Arable land (hectares)\n", - "Statistical=0.889, p=0.003\n", - "OMN-Armed forces personnel (% of total labor force)\n", - "Statistical=0.967, p=0.426\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.888, p=0.003\n", - "OMN-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.948, p=0.125\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.859, p=0.001\n", - "OMN-Average precipitation in depth (mm per year)\n", - "Statistical=0.990, p=0.987\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Average time to clear exports through customs (days)\n", - "Statistical=0.807, p=0.000\n", - "OMN-Births attended by skilled health staff (% of total)\n", - "Statistical=0.889, p=0.003\n", - "OMN-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.847, p=0.000\n", - "OMN-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.973, p=0.575\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.884, p=0.003\n", - "OMN-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.925, p=0.029\n", - "OMN-CO2 emissions (kt)\n", - "Statistical=0.722, p=0.000\n", - "OMN-CO2 emissions (metric tons per capita)\n", - "Statistical=0.787, p=0.000\n", - "OMN-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.973, p=0.576\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=0.854, p=0.001\n", - "OMN-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.934, p=0.050\n", - "OMN-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.874, p=0.001\n", - "OMN-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.923, p=0.025\n", - "OMN-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.921, p=0.022\n", - "OMN-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.754, p=0.000\n", - "OMN-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.886, p=0.003\n", - "OMN-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.874, p=0.001\n", - "OMN-Capture fisheries production (metric tons)\n", - "Statistical=0.893, p=0.004\n", - "OMN-Cereal production (metric tons)\n", - "Statistical=0.898, p=0.005\n", - "OMN-Cereal yield (kg per hectare)\n", - "Statistical=0.934, p=0.049\n", - "OMN-Changes in inventories (current US$)\n", - "Statistical=0.894, p=0.004\n", - "OMN-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.604, p=0.000\n", - "OMN-Children out of school (% of primary school age)\n", - "Statistical=0.731, p=0.000\n", - "OMN-Coal rents (% of GDP)\n", - "Statistical=0.731, p=0.000\n", - "OMN-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.742, p=0.000\n", - "OMN-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.708, p=0.000\n", - "OMN-Commercial service exports (current US$)\n", - "Statistical=0.802, p=0.000\n", - "OMN-Commercial service imports (current US$)\n", - "Statistical=0.907, p=0.009\n", - "OMN-Completeness of birth registration (%)\n", - "Statistical=0.826, p=0.000\n", - "OMN-Consumer price index (2010 = 100)\n", - "Statistical=0.922, p=0.024\n", - "OMN-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.954, p=0.186\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Crop production index (2014-2016 = 100)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Current account balance (% of GDP)\n", - "Statistical=0.946, p=0.107\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Current account balance (BoP, current US$)\n", - "Statistical=0.938, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Current health expenditure (% of GDP)\n", - "Statistical=0.705, p=0.000\n", - "OMN-Current health expenditure per capita (current US$)\n", - "Statistical=0.705, p=0.000\n", - "OMN-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.810, p=0.000\n", - "OMN-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.810, p=0.000\n", - "OMN-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.947, p=0.115\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.871, p=0.001\n", - "OMN-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.864, p=0.001\n", - "OMN-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.836, p=0.000\n", - "OMN-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.849, p=0.000\n", - "OMN-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.793, p=0.000\n", - "OMN-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.813, p=0.000\n", - "OMN-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.813, p=0.000\n", - "OMN-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Electric power consumption (kWh per capita)\n", - "Statistical=0.867, p=0.001\n", - "OMN-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.959, p=0.250\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Electricity production from coal sources (% of total)\n", - "Statistical=0.867, p=0.001\n", - "OMN-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.888, p=0.003\n", - "OMN-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.811, p=0.000\n", - "OMN-Electricity production from nuclear sources (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Electricity production from oil sources (% of total)\n", - "Statistical=0.835, p=0.000\n", - "OMN-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.653, p=0.000\n", - "OMN-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.680, p=0.000\n", - "OMN-Energy related methane emissions (% of total)\n", - "Statistical=0.596, p=0.000\n", - "OMN-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.853, p=0.000\n", - "OMN-Export unit value index (2000 = 100)\n", - "Statistical=0.388, p=0.000\n", - "OMN-Export value index (2000 = 100)\n", - "Statistical=0.762, p=0.000\n", - "OMN-Export volume index (2000 = 100)\n", - "Statistical=0.882, p=0.002\n", - "OMN-Exports of goods and services (% of GDP)\n", - "Statistical=0.808, p=0.000\n", - "OMN-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.941, p=0.081\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Exports of goods and services (current US$)\n", - "Statistical=0.820, p=0.000\n", - "OMN-External balance on goods and services (% of GDP)\n", - "Statistical=0.901, p=0.007\n", - "OMN-External balance on goods and services (current US$)\n", - "Statistical=0.969, p=0.473\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.871, p=0.001\n", - "OMN-Final consumption expenditure (% of GDP)\n", - "Statistical=0.868, p=0.001\n", - "OMN-Final consumption expenditure (current US$)\n", - "Statistical=0.865, p=0.001\n", - "OMN-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.869, p=0.001\n", - "OMN-Firms offering formal training (% of firms)\n", - "Statistical=0.854, p=0.001\n", - "OMN-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.855, p=0.001\n", - "OMN-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.890, p=0.004\n", - "OMN-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.847, p=0.000\n", - "OMN-Fixed broadband subscriptions\n", - "Statistical=0.943, p=0.093\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.924, p=0.027\n", - "OMN-Fixed telephone subscriptions\n", - "Statistical=0.882, p=0.002\n", - "OMN-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.816, p=0.000\n", - "OMN-Food exports (% of merchandise exports)\n", - "Statistical=0.952, p=0.169\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Food imports (% of merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Food production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Forest area (% of land area)\n", - "Statistical=0.878, p=0.002\n", - "OMN-Forest area (sq. km)\n", - "Statistical=0.911, p=0.012\n", - "OMN-Forest rents (% of GDP)\n", - "Statistical=0.866, p=0.001\n", - "OMN-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.684, p=0.000\n", - "OMN-Fuel exports (% of merchandise exports)\n", - "Statistical=0.848, p=0.000\n", - "OMN-Fuel imports (% of merchandise imports)\n", - "Statistical=0.827, p=0.000\n", - "OMN-GDP (current US$)\n", - "Statistical=0.749, p=0.000\n", - "OMN-GDP deflator (base year varies by country)\n", - "Statistical=0.788, p=0.000\n", - "OMN-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.945, p=0.105\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-GDP growth (annual %)\n", - "Statistical=0.945, p=0.105\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-GDP per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.918, p=0.018\n", - "OMN-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.880, p=0.002\n", - "OMN-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.879, p=0.002\n", - "OMN-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.867, p=0.001\n", - "OMN-GNI (current US$)\n", - "Statistical=0.864, p=0.001\n", - "OMN-GNI growth (annual %)\n", - "Statistical=0.694, p=0.000\n", - "OMN-GNI per capita growth (annual %)\n", - "Statistical=0.853, p=0.000\n", - "OMN-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.965, p=0.372\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-General government final consumption expenditure (current US$)\n", - "Statistical=0.889, p=0.003\n", - "OMN-Gini index\n", - "Statistical=0.969, p=0.469\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Goods imports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Grants and other revenue (% of revenue)\n", - "Statistical=0.727, p=0.000\n", - "OMN-Gross capital formation (% of GDP)\n", - "Statistical=0.892, p=0.004\n", - "OMN-Gross capital formation (current US$)\n", - "Statistical=0.869, p=0.001\n", - "OMN-Gross domestic savings (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Gross domestic savings (current US$)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Gross savings (% of GDP)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Gross savings (current US$)\n", - "Statistical=0.754, p=0.000\n", - "OMN-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.863, p=0.001\n", - "OMN-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.894, p=0.004\n", - "OMN-High-technology exports (% of manufactured exports)\n", - "Statistical=0.896, p=0.005\n", - "OMN-High-technology exports (current US$)\n", - "Statistical=0.927, p=0.033\n", - "OMN-Hospital beds (per 1,000 people)\n", - "Statistical=0.871, p=0.001\n", - "OMN-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.940, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.791, p=0.000\n", - "OMN-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.791, p=0.000\n", - "OMN-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.791, p=0.000\n", - "OMN-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=0.438, p=0.000\n", - "OMN-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=0.438, p=0.000\n", - "OMN-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.925, p=0.029\n", - "OMN-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.969, p=0.481\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.962, p=0.310\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-ICT goods exports (% of total goods exports)\n", - "Statistical=0.932, p=0.045\n", - "OMN-ICT goods imports (% total goods imports)\n", - "Statistical=0.881, p=0.002\n", - "OMN-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.898, p=0.005\n", - "OMN-ICT service exports (BoP, current US$)\n", - "Statistical=0.805, p=0.000\n", - "OMN-Import unit value index (2000 = 100)\n", - "Statistical=0.904, p=0.008\n", - "OMN-Import value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Import volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Imports of goods and services (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.882, p=0.002\n", - "OMN-Imports of goods and services (current US$)\n", - "Statistical=0.903, p=0.007\n", - "OMN-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "OMN-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Income share held by lowest 10%\n", - "Statistical=0.897, p=0.005\n", - "OMN-Income share held by lowest 20%\n", - "Statistical=0.897, p=0.005\n", - "OMN-Income share held by second 20%\n", - "Statistical=0.875, p=0.002\n", - "OMN-Income share held by third 20%\n", - "Statistical=0.810, p=0.000\n", - "OMN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.914, p=0.015\n", - "OMN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.808, p=0.000\n", - "OMN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.929, p=0.036\n", - "OMN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.810, p=0.000\n", - "OMN-Individuals using the Internet (% of population)\n", - "Statistical=0.840, p=0.000\n", - "OMN-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.853, p=0.000\n", - "OMN-Industry (including construction), value added (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.423, p=0.000\n", - "OMN-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.791, p=0.000\n", - "OMN-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.791, p=0.000\n", - "OMN-Intentional homicides (per 100,000 people)\n", - "Statistical=0.787, p=0.000\n", - "OMN-Interest payments (% of revenue)\n", - "Statistical=0.782, p=0.000\n", - "OMN-International migrant stock (% of population)\n", - "Statistical=0.805, p=0.000\n", - "OMN-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.801, p=0.000\n", - "OMN-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.700, p=0.000\n", - "OMN-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.700, p=0.000\n", - "OMN-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.700, p=0.000\n", - "OMN-Land area (sq. km)\n", - "Statistical=0.787, p=0.000\n", - "OMN-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.766, p=0.000\n", - "OMN-Land under cereal production (hectares)\n", - "Statistical=0.823, p=0.000\n", - "OMN-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.862, p=0.001\n", - "OMN-Lifetime risk of maternal death (%)\n", - "Statistical=0.867, p=0.001\n", - "OMN-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.698, p=0.000\n", - "OMN-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.698, p=0.000\n", - "OMN-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.868, p=0.001\n", - "OMN-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.853, p=0.000\n", - "OMN-Low-birthweight babies (% of births)\n", - "Statistical=0.850, p=0.000\n", - "OMN-Lower secondary school starting age (years)\n", - "Statistical=0.929, p=0.038\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "OMN-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.812, p=0.000\n", - "OMN-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.931, p=0.042\n", - "OMN-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.838, p=0.000\n", - "OMN-Marine protected areas (% of territorial waters)\n", - "Statistical=0.882, p=0.002\n", - "OMN-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.834, p=0.000\n", - "OMN-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.846, p=0.000\n", - "OMN-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.894, p=0.004\n", - "OMN-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.844, p=0.000\n", - "OMN-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.918, p=0.018\n", - "OMN-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.590, p=0.000\n", - "OMN-Merchandise exports (current US$)\n", - "Statistical=0.902, p=0.007\n", - "OMN-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.702, p=0.000\n", - "OMN-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.821, p=0.000\n", - "OMN-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.676, p=0.000\n", - "OMN-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.814, p=0.000\n", - "OMN-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.605, p=0.000\n", - "OMN-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.928, p=0.033\n", - "OMN-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.762, p=0.000\n", - "OMN-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.968, p=0.444\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.775, p=0.000\n", - "OMN-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.795, p=0.000\n", - "OMN-Merchandise imports (current US$)\n", - "Statistical=0.801, p=0.000\n", - "OMN-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.761, p=0.000\n", - "OMN-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.824, p=0.000\n", - "OMN-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.784, p=0.000\n", - "OMN-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.829, p=0.000\n", - "OMN-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.859, p=0.001\n", - "OMN-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.888, p=0.003\n", - "OMN-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.917, p=0.017\n", - "OMN-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.892, p=0.004\n", - "OMN-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.893, p=0.004\n", - "OMN-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.888, p=0.003\n", - "OMN-Merchandise trade (% of GDP)\n", - "Statistical=0.897, p=0.005\n", - "OMN-Methane emissions (% change from 1990)\n", - "Statistical=0.853, p=0.000\n", - "OMN-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.853, p=0.000\n", - "OMN-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.888, p=0.003\n", - "OMN-Military expenditure (% of GDP)\n", - "Statistical=0.888, p=0.003\n", - "OMN-Military expenditure (% of general government expenditure)\n", - "Statistical=0.889, p=0.003\n", - "OMN-Military expenditure (current USD)\n", - "Statistical=0.971, p=0.515\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Mineral rents (% of GDP)\n", - "Statistical=0.641, p=0.000\n", - "OMN-Mobile cellular subscriptions\n", - "Statistical=0.865, p=0.001\n", - "OMN-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.865, p=0.001\n", - "OMN-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Natural gas rents (% of GDP)\n", - "Statistical=0.727, p=0.000\n", - "OMN-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.745, p=0.000\n", - "OMN-Net capital account (BoP, current US$)\n", - "Statistical=0.901, p=0.007\n", - "OMN-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.938, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Net financial account (BoP, current US$)\n", - "Statistical=0.844, p=0.000\n", - "OMN-Net migration\n", - "Statistical=0.799, p=0.000\n", - "OMN-Net primary income (BoP, current US$)\n", - "Statistical=0.799, p=0.000\n", - "OMN-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.813, p=0.000\n", - "OMN-Net secondary income (BoP, current US$)\n", - "Statistical=0.813, p=0.000\n", - "OMN-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Net trade in goods (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Net trade in goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-New businesses registered (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.691, p=0.000\n", - "OMN-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.730, p=0.000\n", - "OMN-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.931, p=0.043\n", - "OMN-Number of deaths ages 10-14 years\n", - "Statistical=0.952, p=0.162\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Number of deaths ages 15-19 years\n", - "Statistical=0.962, p=0.316\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Number of deaths ages 20-24 years\n", - "Statistical=0.972, p=0.559\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Number of deaths ages 5-9 years\n", - "Statistical=0.896, p=0.005\n", - "OMN-Number of infant deaths\n", - "Statistical=0.908, p=0.010\n", - "OMN-Number of maternal deaths\n", - "Statistical=0.820, p=0.000\n", - "OMN-Number of neonatal deaths\n", - "Statistical=0.931, p=0.042\n", - "OMN-Number of under-five deaths\n", - "Statistical=0.874, p=0.001\n", - "OMN-Nurses and midwives (per 1,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Official exchange rate (LCU per US$, period average)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Oil rents (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Ores and metals exports (% of merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.074, p=0.000\n", - "OMN-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.917, p=0.017\n", - "OMN-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.903, p=0.007\n", - "OMN-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.916, p=0.016\n", - "OMN-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.916, p=0.016\n", - "OMN-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.833, p=0.000\n", - "OMN-People using at least basic drinking water services (% of population)\n", - "Statistical=0.833, p=0.000\n", - "OMN-People using at least basic sanitation services (% of population)\n", - "Statistical=0.858, p=0.001\n", - "OMN-People using safely managed sanitation services (% of population)\n", - "Statistical=0.863, p=0.001\n", - "OMN-Permanent cropland (% of land area)\n", - "Statistical=0.963, p=0.329\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Physicians (per 1,000 people)\n", - "Statistical=0.956, p=0.216\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Population ages 0-14 (% of total population)\n", - "Statistical=0.956, p=0.216\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Population ages 15-64 (% of total population)\n", - "Statistical=0.887, p=0.003\n", - "OMN-Population ages 65 and above (% of total population)\n", - "Statistical=0.887, p=0.003\n", - "OMN-Population density (people per sq. km of land area)\n", - "Statistical=0.957, p=0.230\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Population growth (annual %)\n", - "Statistical=0.956, p=0.216\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Population in largest city\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Population in the largest city (% of urban population)\n", - "Statistical=0.898, p=0.005\n", - "OMN-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.829, p=0.000\n", - "OMN-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.799, p=0.000\n", - "OMN-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.916, p=0.016\n", - "OMN-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.925, p=0.028\n", - "OMN-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.843, p=0.000\n", - "OMN-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.822, p=0.000\n", - "OMN-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.822, p=0.000\n", - "OMN-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.838, p=0.000\n", - "OMN-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.838, p=0.000\n", - "OMN-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.903, p=0.007\n", - "OMN-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.839, p=0.000\n", - "OMN-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.839, p=0.000\n", - "OMN-Prevalence of undernourishment (% of population)\n", - "Statistical=0.888, p=0.003\n", - "OMN-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Primary income payments (BoP, current US$)\n", - "Statistical=0.878, p=0.002\n", - "OMN-Primary income receipts (BoP, current US$)\n", - "Statistical=0.839, p=0.000\n", - "OMN-Primary school starting age (years)\n", - "Statistical=0.933, p=0.048\n", - "OMN-Private credit bureau coverage (% of adults)\n", - "Statistical=0.822, p=0.000\n", - "OMN-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.822, p=0.000\n", - "OMN-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.849, p=0.000\n", - "OMN-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.953, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Procedures to build a warehouse (number)\n", - "Statistical=0.882, p=0.002\n", - "OMN-Procedures to register property (number)\n", - "Statistical=0.833, p=0.000\n", - "OMN-Profit tax (% of commercial profits)\n", - "Statistical=0.833, p=0.000\n", - "OMN-Progression to secondary school (%)\n", - "Statistical=0.806, p=0.000\n", - "OMN-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.806, p=0.000\n", - "OMN-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.889, p=0.003\n", - "OMN-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.868, p=0.001\n", - "OMN-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.923, p=0.026\n", - "OMN-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Public credit registry coverage (% of adults)\n", - "Statistical=0.794, p=0.000\n", - "OMN-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.860, p=0.001\n", - "OMN-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.732, p=0.000\n", - "OMN-Rail lines (total route-km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.841, p=0.000\n", - "OMN-Refugee population by country or territory of asylum\n", - "Statistical=0.929, p=0.036\n", - "OMN-Refugee population by country or territory of origin\n", - "Statistical=0.877, p=0.002\n", - "OMN-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.883, p=0.002\n", - "OMN-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.883, p=0.002\n", - "OMN-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.837, p=0.000\n", - "OMN-Research and development expenditure (% of GDP)\n", - "Statistical=0.837, p=0.000\n", - "OMN-Researchers in R&D (per million people)\n", - "Statistical=0.824, p=0.000\n", - "OMN-Reserves and related items (BoP, current US$)\n", - "Statistical=0.938, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.874, p=0.001\n", - "OMN-Rural land area (sq. km)\n", - "Statistical=0.874, p=0.001\n", - "OMN-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.871, p=0.001\n", - "OMN-Rural population\n", - "Statistical=0.841, p=0.000\n", - "OMN-Rural population (% of total population)\n", - "Statistical=0.841, p=0.000\n", - "OMN-Rural population growth (annual %)\n", - "Statistical=0.830, p=0.000\n", - "OMN-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.830, p=0.000\n", - "OMN-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.913, p=0.014\n", - "OMN-Scientific and technical journal articles\n", - "Statistical=0.915, p=0.015\n", - "OMN-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.910, p=0.011\n", - "OMN-Secure Internet servers\n", - "Statistical=0.990, p=0.987\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Secure Internet servers (per 1 million people)\n", - "Statistical=0.809, p=0.000\n", - "OMN-Service exports (BoP, current US$)\n", - "Statistical=0.809, p=0.000\n", - "OMN-Service imports (BoP, current US$)\n", - "Statistical=0.818, p=0.000\n", - "OMN-Sex ratio at birth (male births per female births)\n", - "Statistical=0.818, p=0.000\n", - "OMN-Social contributions (% of revenue)\n", - "Statistical=0.842, p=0.000\n", - "OMN-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.945, p=0.107\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Start-up procedures to register a business (number)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.870, p=0.001\n", - "OMN-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.870, p=0.001\n", - "OMN-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.652, p=0.000\n", - "OMN-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.652, p=0.000\n", - "OMN-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.820, p=0.000\n", - "OMN-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.820, p=0.000\n", - "OMN-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.583, p=0.000\n", - "OMN-Surface area (sq. km)\n", - "Statistical=0.638, p=0.000\n", - "OMN-Tax payments (number)\n", - "Statistical=0.814, p=0.000\n", - "OMN-Tax revenue (% of GDP)\n", - "Statistical=0.925, p=0.028\n", - "OMN-Taxes less subsidies on products (current US$)\n", - "Statistical=0.818, p=0.000\n", - "OMN-Taxes on goods and services (% of revenue)\n", - "Statistical=0.818, p=0.000\n", - "OMN-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.814, p=0.000\n", - "OMN-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.814, p=0.000\n", - "OMN-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.799, p=0.000\n", - "OMN-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.908, p=0.010\n", - "OMN-Time required to build a warehouse (days)\n", - "Statistical=0.818, p=0.000\n", - "OMN-Time required to enforce a contract (days)\n", - "Statistical=0.829, p=0.000\n", - "OMN-Time required to get electricity (days)\n", - "Statistical=0.909, p=0.011\n", - "OMN-Time required to register property (days)\n", - "Statistical=0.805, p=0.000\n", - "OMN-Time required to start a business (days)\n", - "Statistical=0.402, p=0.000\n", - "OMN-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.404, p=0.000\n", - "OMN-Time to obtain an electrical connection (days)\n", - "Statistical=0.404, p=0.000\n", - "OMN-Time to prepare and pay taxes (hours)\n", - "Statistical=0.403, p=0.000\n", - "OMN-Time to resolve insolvency (years)\n", - "Statistical=0.401, p=0.000\n", - "OMN-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.402, p=0.000\n", - "OMN-Total fisheries production (metric tons)\n", - "Statistical=0.399, p=0.000\n", - "OMN-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.404, p=0.000\n", - "OMN-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.403, p=0.000\n", - "OMN-Total natural resources rents (% of GDP)\n", - "Statistical=0.811, p=0.000\n", - "OMN-Total reserves (includes gold, current US$)\n", - "Statistical=0.806, p=0.000\n", - "OMN-Total reserves in months of imports\n", - "Statistical=0.835, p=0.000\n", - "OMN-Total reserves minus gold (current US$)\n", - "Statistical=0.810, p=0.000\n", - "OMN-Total tax and contribution rate (% of profit)\n", - "Statistical=0.483, p=0.000\n", - "OMN-Trade (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Trade in services (% of GDP)\n", - "Statistical=0.773, p=0.000\n", - "OMN-Transport services (% of commercial service exports)\n", - "Statistical=0.850, p=0.000\n", - "OMN-Transport services (% of commercial service imports)\n", - "Statistical=0.867, p=0.001\n", - "OMN-Transport services (% of service exports, BoP)\n", - "Statistical=0.850, p=0.000\n", - "OMN-Transport services (% of service imports, BoP)\n", - "Statistical=0.952, p=0.159\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Travel services (% of commercial service exports)\n", - "Statistical=0.860, p=0.001\n", - "OMN-Travel services (% of commercial service imports)\n", - "Statistical=0.854, p=0.000\n", - "OMN-Travel services (% of service exports, BoP)\n", - "Statistical=0.834, p=0.000\n", - "OMN-Travel services (% of service imports, BoP)\n", - "Statistical=0.834, p=0.000\n", - "OMN-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.862, p=0.001\n", - "OMN-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.862, p=0.001\n", - "OMN-UHC service coverage index\n", - "Statistical=0.850, p=0.000\n", - "OMN-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.849, p=0.000\n", - "OMN-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Urban land area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Urban population\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Urban population (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-GDP (current US$)+2\n", - "Statistical=0.486, p=0.000\n", - "OMN-GDP (current US$)+3\n", - "Statistical=0.451, p=0.000\n", - "OMN-GDP (current US$)+5\n", - "Statistical=0.931, p=0.043\n", - "OMN-GDP (current US$)+8\n", - "Statistical=0.921, p=0.023\n", - "OMN-GDP (current US$)+13\n", - "Statistical=0.810, p=0.000\n", - "OMN-GDP (current US$)+21\n", - "Statistical=0.810, p=0.000\n", - "OMN-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.869, p=0.001\n", - "OMN-Deposit interest rate (%)\n", - "Statistical=0.869, p=0.001\n", - "OMN-Other taxes (% of revenue)\n", - "Statistical=0.782, p=0.000\n", - "OMN-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.989, p=0.983\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Taxes on international trade (% of revenue)\n", - "Statistical=0.995, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.836, p=0.000\n", - "OMN-Broad money (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Broad money growth (annual %)\n", - "Statistical=0.913, p=0.014\n", - "OMN-Broad money to total reserves ratio\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.913, p=0.014\n", - "OMN-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.888, p=0.003\n", - "OMN-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-External health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "OMN-External health expenditure per capita (current US$)\n", - "Statistical=0.443, p=0.000\n", - "OMN-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.748, p=0.000\n", - "OMN-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.862, p=0.001\n", - "OMN-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.925, p=0.029\n", - "OMN-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.801, p=0.000\n", - "OMN-People practicing open defecation (% of population)\n", - "Statistical=0.795, p=0.000\n", - "OMN-Taxes on exports (% of tax revenue)\n", - "Statistical=0.894, p=0.004\n", - "OMN-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.730, p=0.000\n", - "OMN-Country\n", - "Statistical=0.930, p=0.040\n", - "OMN-Year\n", - "Statistical=0.802, p=0.000\n", - "OMN-Continent\n", - "Statistical=0.773, p=0.000\n", - "DZA-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Adjusted net national income (current US$)\n", - "Statistical=0.808, p=0.000\n", - "DZA-Adjusted net national income per capita (current US$)\n", - "Statistical=0.813, p=0.000\n", - "DZA-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.806, p=0.000\n", - "DZA-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.746, p=0.000\n", - "DZA-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.905, p=0.009\n", - "DZA-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.865, p=0.001\n", - "DZA-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.661, p=0.000\n", - "DZA-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.663, p=0.000\n", - "DZA-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.645, p=0.000\n", - "DZA-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.663, p=0.000\n", - "DZA-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.625, p=0.000\n", - "DZA-Age dependency ratio (% of working-age population)\n", - "Statistical=0.663, p=0.000\n", - "DZA-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.658, p=0.000\n", - "DZA-Agricultural land (% of land area)\n", - "Statistical=0.659, p=0.000\n", - "DZA-Agricultural land (sq. km)\n", - "Statistical=0.663, p=0.000\n", - "DZA-Agricultural methane emissions (% of total)\n", - "Statistical=0.841, p=0.000\n", - "DZA-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.790, p=0.000\n", - "DZA-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.819, p=0.000\n", - "DZA-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.959, p=0.251\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.864, p=0.001\n", - "DZA-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.833, p=0.000\n", - "DZA-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.965, p=0.383\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Aquaculture production (metric tons)\n", - "Statistical=0.844, p=0.000\n", - "DZA-Arable land (% of land area)\n", - "Statistical=0.866, p=0.001\n", - "DZA-Arable land (hectares per person)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Arable land (hectares)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Armed forces personnel (% of total labor force)\n", - "Statistical=0.953, p=0.175\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.940, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.874, p=0.001\n", - "DZA-Average precipitation in depth (mm per year)\n", - "Statistical=0.950, p=0.145\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Average time to clear exports through customs (days)\n", - "Statistical=0.852, p=0.000\n", - "DZA-Births attended by skilled health staff (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.849, p=0.000\n", - "DZA-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.923, p=0.025\n", - "DZA-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.882, p=0.002\n", - "DZA-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.973, p=0.594\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-CO2 emissions (kt)\n", - "Statistical=0.893, p=0.004\n", - "DZA-CO2 emissions (metric tons per capita)\n", - "Statistical=0.763, p=0.000\n", - "DZA-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.923, p=0.025\n", - "DZA-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=0.916, p=0.016\n", - "DZA-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=0.873, p=0.001\n", - "DZA-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.967, p=0.412\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.955, p=0.198\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.828, p=0.000\n", - "DZA-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.732, p=0.000\n", - "DZA-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.513, p=0.000\n", - "DZA-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.518, p=0.000\n", - "DZA-Capture fisheries production (metric tons)\n", - "Statistical=0.535, p=0.000\n", - "DZA-Cereal production (metric tons)\n", - "Statistical=0.865, p=0.001\n", - "DZA-Cereal yield (kg per hectare)\n", - "Statistical=0.903, p=0.007\n", - "DZA-Changes in inventories (current US$)\n", - "Statistical=0.842, p=0.000\n", - "DZA-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.775, p=0.000\n", - "DZA-Children out of school (% of primary school age)\n", - "Statistical=0.798, p=0.000\n", - "DZA-Coal rents (% of GDP)\n", - "Statistical=0.798, p=0.000\n", - "DZA-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.808, p=0.000\n", - "DZA-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.792, p=0.000\n", - "DZA-Commercial service exports (current US$)\n", - "Statistical=0.667, p=0.000\n", - "DZA-Commercial service imports (current US$)\n", - "Statistical=0.860, p=0.001\n", - "DZA-Completeness of birth registration (%)\n", - "Statistical=0.666, p=0.000\n", - "DZA-Consumer price index (2010 = 100)\n", - "Statistical=0.848, p=0.000\n", - "DZA-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.878, p=0.002\n", - "DZA-Crop production index (2014-2016 = 100)\n", - "Statistical=0.932, p=0.043\n", - "DZA-Current account balance (% of GDP)\n", - "Statistical=0.957, p=0.228\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Current account balance (BoP, current US$)\n", - "Statistical=0.885, p=0.003\n", - "DZA-Current health expenditure (% of GDP)\n", - "Statistical=0.822, p=0.000\n", - "DZA-Current health expenditure per capita (current US$)\n", - "Statistical=0.822, p=0.000\n", - "DZA-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.788, p=0.000\n", - "DZA-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.800, p=0.000\n", - "DZA-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.778, p=0.000\n", - "DZA-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.956, p=0.217\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.812, p=0.000\n", - "DZA-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.893, p=0.004\n", - "DZA-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.963, p=0.326\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.851, p=0.000\n", - "DZA-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.860, p=0.001\n", - "DZA-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.905, p=0.008\n", - "DZA-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.905, p=0.008\n", - "DZA-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.831, p=0.000\n", - "DZA-Electric power consumption (kWh per capita)\n", - "Statistical=0.958, p=0.235\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.932, p=0.045\n", - "DZA-Electricity production from coal sources (% of total)\n", - "Statistical=0.958, p=0.235\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.910, p=0.011\n", - "DZA-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.782, p=0.000\n", - "DZA-Electricity production from nuclear sources (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Electricity production from oil sources (% of total)\n", - "Statistical=0.929, p=0.036\n", - "DZA-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.779, p=0.000\n", - "DZA-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Energy related methane emissions (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Energy use (kg of oil equivalent per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Export unit value index (2000 = 100)\n", - "Statistical=0.748, p=0.000\n", - "DZA-Export value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Export volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Exports of goods and services (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.971, p=0.531\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Exports of goods and services (current US$)\n", - "Statistical=0.862, p=0.001\n", - "DZA-External balance on goods and services (% of GDP)\n", - "Statistical=0.978, p=0.729\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-External balance on goods and services (current US$)\n", - "Statistical=0.829, p=0.000\n", - "DZA-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.955, p=0.195\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Final consumption expenditure (% of GDP)\n", - "Statistical=0.955, p=0.197\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Final consumption expenditure (current US$)\n", - "Statistical=0.924, p=0.027\n", - "DZA-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.858, p=0.001\n", - "DZA-Firms offering formal training (% of firms)\n", - "Statistical=0.846, p=0.000\n", - "DZA-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.865, p=0.001\n", - "DZA-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.920, p=0.021\n", - "DZA-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.889, p=0.003\n", - "DZA-Fixed broadband subscriptions\n", - "Statistical=0.970, p=0.503\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.868, p=0.001\n", - "DZA-Fixed telephone subscriptions\n", - "Statistical=0.872, p=0.001\n", - "DZA-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Food exports (% of merchandise exports)\n", - "Statistical=0.931, p=0.041\n", - "DZA-Food imports (% of merchandise imports)\n", - "Statistical=0.906, p=0.009\n", - "DZA-Food production index (2014-2016 = 100)\n", - "Statistical=0.910, p=0.011\n", - "DZA-Forest area (% of land area)\n", - "Statistical=0.897, p=0.005\n", - "DZA-Forest area (sq. km)\n", - "Statistical=0.826, p=0.000\n", - "DZA-Forest rents (% of GDP)\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.857, p=0.001\n", - "DZA-Fuel exports (% of merchandise exports)\n", - "Statistical=0.838, p=0.000\n", - "DZA-Fuel imports (% of merchandise imports)\n", - "Statistical=0.852, p=0.000\n", - "DZA-GDP (current US$)\n", - "Statistical=0.950, p=0.147\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-GDP deflator (base year varies by country)\n", - "Statistical=0.931, p=0.042\n", - "DZA-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.856, p=0.001\n", - "DZA-GDP growth (annual %)\n", - "Statistical=0.890, p=0.003\n", - "DZA-GDP per capita (current US$)\n", - "Statistical=0.743, p=0.000\n", - "DZA-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.838, p=0.000\n", - "DZA-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.845, p=0.000\n", - "DZA-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.790, p=0.000\n", - "DZA-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.819, p=0.000\n", - "DZA-GNI (current US$)\n", - "Statistical=0.821, p=0.000\n", - "DZA-GNI growth (annual %)\n", - "Statistical=0.780, p=0.000\n", - "DZA-GNI per capita growth (annual %)\n", - "Statistical=0.816, p=0.000\n", - "DZA-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.966, p=0.387\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-General government final consumption expenditure (current US$)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Gini index\n", - "Statistical=0.956, p=0.217\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Goods imports (BoP, current US$)\n", - "Statistical=0.871, p=0.001\n", - "DZA-Grants and other revenue (% of revenue)\n", - "Statistical=0.723, p=0.000\n", - "DZA-Gross capital formation (% of GDP)\n", - "Statistical=0.781, p=0.000\n", - "DZA-Gross capital formation (current US$)\n", - "Statistical=0.864, p=0.001\n", - "DZA-Gross domestic savings (% of GDP)\n", - "Statistical=0.951, p=0.158\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Gross domestic savings (current US$)\n", - "Statistical=0.806, p=0.000\n", - "DZA-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.706, p=0.000\n", - "DZA-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Gross national expenditure (% of GDP)\n", - "Statistical=0.558, p=0.000\n", - "DZA-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.957, p=0.227\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Gross savings (% of GDP)\n", - "Statistical=0.807, p=0.000\n", - "DZA-Gross savings (current US$)\n", - "Statistical=0.972, p=0.556\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.749, p=0.000\n", - "DZA-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.689, p=0.000\n", - "DZA-High-technology exports (% of manufactured exports)\n", - "Statistical=0.929, p=0.036\n", - "DZA-High-technology exports (current US$)\n", - "Statistical=0.800, p=0.000\n", - "DZA-Hospital beds (per 1,000 people)\n", - "Statistical=0.797, p=0.000\n", - "DZA-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.797, p=0.000\n", - "DZA-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.802, p=0.000\n", - "DZA-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.802, p=0.000\n", - "DZA-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.802, p=0.000\n", - "DZA-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.878, p=0.002\n", - "DZA-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.933, p=0.049\n", - "DZA-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.553, p=0.000\n", - "DZA-ICT goods exports (% of total goods exports)\n", - "Statistical=0.401, p=0.000\n", - "DZA-ICT goods imports (% total goods imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.785, p=0.000\n", - "DZA-ICT service exports (BoP, current US$)\n", - "Statistical=0.821, p=0.000\n", - "DZA-Import unit value index (2000 = 100)\n", - "Statistical=0.797, p=0.000\n", - "DZA-Import value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Import volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Imports of goods and services (% of GDP)\n", - "Statistical=0.906, p=0.009\n", - "DZA-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.739, p=0.000\n", - "DZA-Imports of goods and services (current US$)\n", - "Statistical=0.717, p=0.000\n", - "DZA-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "DZA-Income share held by highest 10%\n", - "Statistical=0.624, p=0.000\n", - "DZA-Income share held by highest 20%\n", - "Statistical=0.884, p=0.003\n", - "DZA-Income share held by lowest 10%\n", - "Statistical=0.907, p=0.009\n", - "DZA-Income share held by lowest 20%\n", - "Statistical=0.907, p=0.009\n", - "DZA-Income share held by second 20%\n", - "Statistical=0.836, p=0.000\n", - "DZA-Income share held by third 20%\n", - "Statistical=0.880, p=0.002\n", - "DZA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.865, p=0.001\n", - "DZA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.831, p=0.000\n", - "DZA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.821, p=0.000\n", - "DZA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.879, p=0.002\n", - "DZA-Individuals using the Internet (% of population)\n", - "Statistical=0.783, p=0.000\n", - "DZA-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.787, p=0.000\n", - "DZA-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.485, p=0.000\n", - "DZA-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.654, p=0.000\n", - "DZA-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.654, p=0.000\n", - "DZA-Intentional homicides (per 100,000 people)\n", - "Statistical=0.654, p=0.000\n", - "DZA-Interest payments (% of revenue)\n", - "Statistical=0.654, p=0.000\n", - "DZA-International migrant stock (% of population)\n", - "Statistical=0.654, p=0.000\n", - "DZA-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.654, p=0.000\n", - "DZA-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.654, p=0.000\n", - "DZA-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.654, p=0.000\n", - "DZA-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.654, p=0.000\n", - "DZA-Land area (sq. km)\n", - "Statistical=0.654, p=0.000\n", - "DZA-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.654, p=0.000\n", - "DZA-Land under cereal production (hectares)\n", - "Statistical=0.654, p=0.000\n", - "DZA-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.850, p=0.000\n", - "DZA-Lifetime risk of maternal death (%)\n", - "Statistical=0.967, p=0.412\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.885, p=0.003\n", - "DZA-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.926, p=0.031\n", - "DZA-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.908, p=0.010\n", - "DZA-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.890, p=0.004\n", - "DZA-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.818, p=0.000\n", - "DZA-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.834, p=0.000\n", - "DZA-Low-birthweight babies (% of births)\n", - "Statistical=0.838, p=0.000\n", - "DZA-Lower secondary school starting age (years)\n", - "Statistical=0.827, p=0.000\n", - "DZA-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.800, p=0.000\n", - "DZA-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.836, p=0.000\n", - "DZA-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.782, p=0.000\n", - "DZA-Marine protected areas (% of territorial waters)\n", - "Statistical=0.825, p=0.000\n", - "DZA-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.785, p=0.000\n", - "DZA-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.904, p=0.008\n", - "DZA-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.825, p=0.000\n", - "DZA-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.889, p=0.003\n", - "DZA-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.630, p=0.000\n", - "DZA-Merchandise exports (current US$)\n", - "Statistical=0.933, p=0.048\n", - "DZA-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.669, p=0.000\n", - "DZA-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.917, p=0.017\n", - "DZA-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.733, p=0.000\n", - "DZA-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.951, p=0.157\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.662, p=0.000\n", - "DZA-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.965, p=0.366\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.693, p=0.000\n", - "DZA-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.963, p=0.334\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.691, p=0.000\n", - "DZA-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.841, p=0.000\n", - "DZA-Merchandise imports (current US$)\n", - "Statistical=0.822, p=0.000\n", - "DZA-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.802, p=0.000\n", - "DZA-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.853, p=0.000\n", - "DZA-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.895, p=0.005\n", - "DZA-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.881, p=0.002\n", - "DZA-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.887, p=0.003\n", - "DZA-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.967, p=0.418\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.916, p=0.016\n", - "DZA-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.953, p=0.172\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Merchandise trade (% of GDP)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Methane emissions (% change from 1990)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.908, p=0.010\n", - "DZA-Military expenditure (% of GDP)\n", - "Statistical=0.896, p=0.005\n", - "DZA-Military expenditure (% of general government expenditure)\n", - "Statistical=0.950, p=0.147\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Military expenditure (current USD)\n", - "Statistical=0.970, p=0.505\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Mineral rents (% of GDP)\n", - "Statistical=0.570, p=0.000\n", - "DZA-Mobile cellular subscriptions\n", - "Statistical=0.950, p=0.148\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.970, p=0.509\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.892, p=0.004\n", - "DZA-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.841, p=0.000\n", - "DZA-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.763, p=0.000\n", - "DZA-Natural gas rents (% of GDP)\n", - "Statistical=0.922, p=0.023\n", - "DZA-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.876, p=0.002\n", - "DZA-Net capital account (BoP, current US$)\n", - "Statistical=0.961, p=0.285\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Net financial account (BoP, current US$)\n", - "Statistical=0.972, p=0.555\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Net migration\n", - "Statistical=0.853, p=0.000\n", - "DZA-Net primary income (BoP, current US$)\n", - "Statistical=0.853, p=0.000\n", - "DZA-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.866, p=0.001\n", - "DZA-Net secondary income (BoP, current US$)\n", - "Statistical=0.822, p=0.000\n", - "DZA-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Net trade in goods (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Net trade in goods and services (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-New businesses registered (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.731, p=0.000\n", - "DZA-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.745, p=0.000\n", - "DZA-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Number of deaths ages 10-14 years\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Number of deaths ages 15-19 years\n", - "Statistical=0.884, p=0.003\n", - "DZA-Number of deaths ages 20-24 years\n", - "Statistical=0.902, p=0.007\n", - "DZA-Number of deaths ages 5-9 years\n", - "Statistical=0.873, p=0.001\n", - "DZA-Number of infant deaths\n", - "Statistical=0.844, p=0.000\n", - "DZA-Number of maternal deaths\n", - "Statistical=0.968, p=0.446\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Number of neonatal deaths\n", - "Statistical=0.963, p=0.327\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Number of under-five deaths\n", - "Statistical=0.951, p=0.155\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.860, p=0.001\n", - "DZA-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.816, p=0.000\n", - "DZA-Oil rents (% of GDP)\n", - "Statistical=0.831, p=0.000\n", - "DZA-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.831, p=0.000\n", - "DZA-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.909, p=0.011\n", - "DZA-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.919, p=0.020\n", - "DZA-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.903, p=0.007\n", - "DZA-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.843, p=0.000\n", - "DZA-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.899, p=0.006\n", - "DZA-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.899, p=0.006\n", - "DZA-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.886, p=0.003\n", - "DZA-People using at least basic drinking water services (% of population)\n", - "Statistical=0.863, p=0.001\n", - "DZA-People using at least basic sanitation services (% of population)\n", - "Statistical=0.902, p=0.007\n", - "DZA-People using safely managed sanitation services (% of population)\n", - "Statistical=0.902, p=0.007\n", - "DZA-Permanent cropland (% of land area)\n", - "Statistical=0.976, p=0.682\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Physicians (per 1,000 people)\n", - "Statistical=0.883, p=0.002\n", - "DZA-Population ages 0-14 (% of total population)\n", - "Statistical=0.883, p=0.002\n", - "DZA-Population ages 15-64 (% of total population)\n", - "Statistical=0.888, p=0.003\n", - "DZA-Population ages 65 and above (% of total population)\n", - "Statistical=0.884, p=0.002\n", - "DZA-Population density (people per sq. km of land area)\n", - "Statistical=0.968, p=0.445\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Population growth (annual %)\n", - "Statistical=0.883, p=0.002\n", - "DZA-Population in largest city\n", - "Statistical=0.874, p=0.001\n", - "DZA-Population in the largest city (% of urban population)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.909, p=0.011\n", - "DZA-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.899, p=0.006\n", - "DZA-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.854, p=0.001\n", - "DZA-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.886, p=0.003\n", - "DZA-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Pregnant women receiving prenatal care (%)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Statistical=0.894, p=0.004\n", - "DZA-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.894, p=0.004\n", - "DZA-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.882, p=0.002\n", - "DZA-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.860, p=0.001\n", - "DZA-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.985, p=0.919\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.884, p=0.003\n", - "DZA-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.884, p=0.003\n", - "DZA-Prevalence of undernourishment (% of population)\n", - "Statistical=0.883, p=0.002\n", - "DZA-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.988, p=0.968\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Primary income payments (BoP, current US$)\n", - "Statistical=0.880, p=0.002\n", - "DZA-Primary income receipts (BoP, current US$)\n", - "Statistical=0.884, p=0.003\n", - "DZA-Primary school starting age (years)\n", - "Statistical=0.878, p=0.002\n", - "DZA-Private credit bureau coverage (% of adults)\n", - "Statistical=0.844, p=0.000\n", - "DZA-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.894, p=0.004\n", - "DZA-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.846, p=0.000\n", - "DZA-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.882, p=0.002\n", - "DZA-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.969, p=0.470\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Procedures to build a warehouse (number)\n", - "Statistical=0.912, p=0.013\n", - "DZA-Procedures to register property (number)\n", - "Statistical=0.892, p=0.004\n", - "DZA-Profit tax (% of commercial profits)\n", - "Statistical=0.892, p=0.004\n", - "DZA-Progression to secondary school (%)\n", - "Statistical=0.811, p=0.000\n", - "DZA-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.833, p=0.000\n", - "DZA-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.826, p=0.000\n", - "DZA-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.888, p=0.003\n", - "DZA-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.457, p=0.000\n", - "DZA-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.725, p=0.000\n", - "DZA-Public credit registry coverage (% of adults)\n", - "Statistical=0.747, p=0.000\n", - "DZA-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.634, p=0.000\n", - "DZA-Pump price for gasoline (US$ per liter)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Rail lines (total route-km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.963, p=0.340\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Refugee population by country or territory of asylum\n", - "Statistical=0.927, p=0.032\n", - "DZA-Refugee population by country or territory of origin\n", - "Statistical=0.952, p=0.165\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.854, p=0.001\n", - "DZA-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.854, p=0.001\n", - "DZA-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.853, p=0.000\n", - "DZA-Research and development expenditure (% of GDP)\n", - "Statistical=0.836, p=0.000\n", - "DZA-Researchers in R&D (per million people)\n", - "Statistical=0.858, p=0.001\n", - "DZA-Reserves and related items (BoP, current US$)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.882, p=0.002\n", - "DZA-Rural land area (sq. km)\n", - "Statistical=0.884, p=0.003\n", - "DZA-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.890, p=0.003\n", - "DZA-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Rural population\n", - "Statistical=0.855, p=0.001\n", - "DZA-Rural population (% of total population)\n", - "Statistical=0.855, p=0.001\n", - "DZA-Rural population growth (annual %)\n", - "Statistical=0.839, p=0.000\n", - "DZA-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.806, p=0.000\n", - "DZA-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.972, p=0.564\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Scientific and technical journal articles\n", - "Statistical=0.946, p=0.111\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.964, p=0.362\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Secure Internet servers\n", - "Statistical=0.969, p=0.482\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Secure Internet servers (per 1 million people)\n", - "Statistical=0.843, p=0.000\n", - "DZA-Service exports (BoP, current US$)\n", - "Statistical=0.843, p=0.000\n", - "DZA-Service imports (BoP, current US$)\n", - "Statistical=0.856, p=0.001\n", - "DZA-Sex ratio at birth (male births per female births)\n", - "Statistical=0.827, p=0.000\n", - "DZA-Social contributions (% of revenue)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.987, p=0.954\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Start-up procedures to register a business (number)\n", - "Statistical=0.983, p=0.870\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.790, p=0.000\n", - "DZA-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.770, p=0.000\n", - "DZA-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.861, p=0.001\n", - "DZA-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.861, p=0.001\n", - "DZA-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.833, p=0.000\n", - "DZA-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.842, p=0.000\n", - "DZA-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.671, p=0.000\n", - "DZA-Surface area (sq. km)\n", - "Statistical=0.843, p=0.000\n", - "DZA-Tax payments (number)\n", - "Statistical=0.884, p=0.002\n", - "DZA-Tax revenue (% of GDP)\n", - "Statistical=0.911, p=0.012\n", - "DZA-Taxes less subsidies on products (current US$)\n", - "Statistical=0.845, p=0.000\n", - "DZA-Taxes on goods and services (% of revenue)\n", - "Statistical=0.845, p=0.000\n", - "DZA-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.878, p=0.002\n", - "DZA-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.832, p=0.000\n", - "DZA-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.879, p=0.002\n", - "DZA-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.911, p=0.012\n", - "DZA-Time required to build a warehouse (days)\n", - "Statistical=0.845, p=0.000\n", - "DZA-Time required to enforce a contract (days)\n", - "Statistical=0.870, p=0.001\n", - "DZA-Time required to get electricity (days)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Time required to register property (days)\n", - "Statistical=0.878, p=0.002\n", - "DZA-Time required to start a business (days)\n", - "Statistical=0.487, p=0.000\n", - "DZA-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.495, p=0.000\n", - "DZA-Time to obtain an electrical connection (days)\n", - "Statistical=0.537, p=0.000\n", - "DZA-Time to prepare and pay taxes (hours)\n", - "Statistical=0.576, p=0.000\n", - "DZA-Time to resolve insolvency (years)\n", - "Statistical=0.739, p=0.000\n", - "DZA-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.664, p=0.000\n", - "DZA-Total fisheries production (metric tons)\n", - "Statistical=0.657, p=0.000\n", - "DZA-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.674, p=0.000\n", - "DZA-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.776, p=0.000\n", - "DZA-Total natural resources rents (% of GDP)\n", - "Statistical=0.796, p=0.000\n", - "DZA-Total reserves (includes gold, current US$)\n", - "Statistical=0.901, p=0.006\n", - "DZA-Total reserves in months of imports\n", - "Statistical=0.857, p=0.001\n", - "DZA-Total reserves minus gold (current US$)\n", - "Statistical=0.956, p=0.213\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Total tax and contribution rate (% of profit)\n", - "Statistical=0.905, p=0.008\n", - "DZA-Trade (% of GDP)\n", - "Statistical=0.639, p=0.000\n", - "DZA-Trade in services (% of GDP)\n", - "Statistical=0.896, p=0.005\n", - "DZA-Transport services (% of commercial service exports)\n", - "Statistical=0.953, p=0.177\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Transport services (% of commercial service imports)\n", - "Statistical=0.846, p=0.000\n", - "DZA-Transport services (% of service exports, BoP)\n", - "Statistical=0.863, p=0.001\n", - "DZA-Transport services (% of service imports, BoP)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Travel services (% of commercial service exports)\n", - "Statistical=0.881, p=0.002\n", - "DZA-Travel services (% of commercial service imports)\n", - "Statistical=0.967, p=0.416\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Travel services (% of service exports, BoP)\n", - "Statistical=0.886, p=0.003\n", - "DZA-Travel services (% of service imports, BoP)\n", - "Statistical=0.886, p=0.003\n", - "DZA-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.863, p=0.001\n", - "DZA-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.837, p=0.000\n", - "DZA-UHC service coverage index\n", - "Statistical=0.905, p=0.008\n", - "DZA-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.808, p=0.000\n", - "DZA-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.826, p=0.000\n", - "DZA-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.826, p=0.000\n", - "DZA-Urban land area (sq. km)\n", - "Statistical=0.826, p=0.000\n", - "DZA-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.826, p=0.000\n", - "DZA-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.826, p=0.000\n", - "DZA-Urban population\n", - "Statistical=0.826, p=0.000\n", - "DZA-Urban population (% of total population)\n", - "Statistical=0.826, p=0.000\n", - "DZA-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-GDP (current US$)+2\n", - "Statistical=0.818, p=0.000\n", - "DZA-GDP (current US$)+3\n", - "Statistical=0.653, p=0.000\n", - "DZA-GDP (current US$)+5\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-GDP (current US$)+8\n", - "Statistical=0.918, p=0.018\n", - "DZA-GDP (current US$)+13\n", - "Statistical=0.881, p=0.002\n", - "DZA-GDP (current US$)+21\n", - "Statistical=0.881, p=0.002\n", - "DZA-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.868, p=0.001\n", - "DZA-Deposit interest rate (%)\n", - "Statistical=0.867, p=0.001\n", - "DZA-Other taxes (% of revenue)\n", - "Statistical=0.787, p=0.000\n", - "DZA-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.966, p=0.389\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Taxes on international trade (% of revenue)\n", - "Statistical=0.966, p=0.389\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.961, p=0.292\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-Broad money (% of GDP)\n", - "Statistical=0.767, p=0.000\n", - "DZA-Broad money growth (annual %)\n", - "Statistical=0.765, p=0.000\n", - "DZA-Broad money to total reserves ratio\n", - "Statistical=0.786, p=0.000\n", - "DZA-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.764, p=0.000\n", - "DZA-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.823, p=0.000\n", - "DZA-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-External health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "DZA-External health expenditure per capita (current US$)\n", - "Statistical=0.513, p=0.000\n", - "DZA-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.907, p=0.010\n", - "DZA-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.820, p=0.000\n", - "DZA-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.774, p=0.000\n", - "DZA-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.805, p=0.000\n", - "DZA-People practicing open defecation (% of population)\n", - "Statistical=0.756, p=0.000\n", - "DZA-Taxes on exports (% of tax revenue)\n", - "Statistical=0.887, p=0.003\n", - "DZA-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.874, p=0.001\n", - "DZA-Country\n", - "Statistical=0.788, p=0.000\n", - "DZA-Year\n", - "Statistical=0.775, p=0.000\n", - "DZA-Continent\n", - "Statistical=0.763, p=0.000\n", - "EGY-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Adjusted net national income (current US$)\n", - "Statistical=0.744, p=0.000\n", - "EGY-Adjusted net national income per capita (current US$)\n", - "Statistical=0.739, p=0.000\n", - "EGY-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.774, p=0.000\n", - "EGY-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.852, p=0.000\n", - "EGY-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.843, p=0.000\n", - "EGY-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.902, p=0.007\n", - "EGY-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.570, p=0.000\n", - "EGY-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.557, p=0.000\n", - "EGY-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.578, p=0.000\n", - "EGY-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.579, p=0.000\n", - "EGY-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.535, p=0.000\n", - "EGY-Age dependency ratio (% of working-age population)\n", - "Statistical=0.552, p=0.000\n", - "EGY-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.581, p=0.000\n", - "EGY-Agricultural land (% of land area)\n", - "Statistical=0.586, p=0.000\n", - "EGY-Agricultural land (sq. km)\n", - "Statistical=0.547, p=0.000\n", - "EGY-Agricultural methane emissions (% of total)\n", - "Statistical=0.836, p=0.000\n", - "EGY-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.698, p=0.000\n", - "EGY-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.813, p=0.000\n", - "EGY-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.932, p=0.045\n", - "EGY-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.870, p=0.001\n", - "EGY-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.965, p=0.375\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Aquaculture production (metric tons)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Arable land (% of land area)\n", - "Statistical=0.900, p=0.006\n", - "EGY-Arable land (hectares per person)\n", - "Statistical=0.945, p=0.101\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Arable land (hectares)\n", - "Statistical=0.985, p=0.923\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Armed forces personnel (% of total labor force)\n", - "Statistical=0.957, p=0.227\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.979, p=0.783\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.859, p=0.001\n", - "EGY-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.902, p=0.007\n", - "EGY-Average precipitation in depth (mm per year)\n", - "Statistical=0.925, p=0.029\n", - "EGY-Average time to clear exports through customs (days)\n", - "Statistical=0.873, p=0.001\n", - "EGY-Births attended by skilled health staff (% of total)\n", - "Statistical=0.540, p=0.000\n", - "EGY-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.878, p=0.002\n", - "EGY-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.964, p=0.349\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.895, p=0.005\n", - "EGY-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.919, p=0.020\n", - "EGY-CO2 emissions (kt)\n", - "Statistical=0.750, p=0.000\n", - "EGY-CO2 emissions (metric tons per capita)\n", - "Statistical=0.690, p=0.000\n", - "EGY-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.964, p=0.357\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=0.880, p=0.002\n", - "EGY-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.920, p=0.021\n", - "EGY-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.856, p=0.001\n", - "EGY-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.843, p=0.000\n", - "EGY-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.880, p=0.002\n", - "EGY-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.804, p=0.000\n", - "EGY-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.931, p=0.042\n", - "EGY-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.932, p=0.044\n", - "EGY-Capture fisheries production (metric tons)\n", - "Statistical=0.850, p=0.000\n", - "EGY-Cereal production (metric tons)\n", - "Statistical=0.856, p=0.001\n", - "EGY-Cereal yield (kg per hectare)\n", - "Statistical=0.906, p=0.009\n", - "EGY-Changes in inventories (current US$)\n", - "Statistical=0.842, p=0.000\n", - "EGY-Chemicals (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Children out of school (% of primary school age)\n", - "Statistical=0.906, p=0.009\n", - "EGY-Coal rents (% of GDP)\n", - "Statistical=0.906, p=0.009\n", - "EGY-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.794, p=0.000\n", - "EGY-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.689, p=0.000\n", - "EGY-Commercial service exports (current US$)\n", - "Statistical=0.658, p=0.000\n", - "EGY-Commercial service imports (current US$)\n", - "Statistical=0.964, p=0.346\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Completeness of birth registration (%)\n", - "Statistical=0.905, p=0.008\n", - "EGY-Consumer price index (2010 = 100)\n", - "Statistical=0.843, p=0.000\n", - "EGY-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.814, p=0.000\n", - "EGY-Crop production index (2014-2016 = 100)\n", - "Statistical=0.910, p=0.011\n", - "EGY-Current account balance (% of GDP)\n", - "Statistical=0.907, p=0.010\n", - "EGY-Current account balance (BoP, current US$)\n", - "Statistical=0.976, p=0.675\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Current health expenditure (% of GDP)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Current health expenditure per capita (current US$)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.810, p=0.000\n", - "EGY-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.895, p=0.005\n", - "EGY-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.929, p=0.036\n", - "EGY-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.948, p=0.129\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.841, p=0.000\n", - "EGY-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.822, p=0.000\n", - "EGY-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.834, p=0.000\n", - "EGY-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.730, p=0.000\n", - "EGY-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.838, p=0.000\n", - "EGY-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.855, p=0.001\n", - "EGY-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.888, p=0.003\n", - "EGY-Electric power consumption (kWh per capita)\n", - "Statistical=0.881, p=0.002\n", - "EGY-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.884, p=0.002\n", - "EGY-Electricity production from coal sources (% of total)\n", - "Statistical=0.881, p=0.002\n", - "EGY-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.951, p=0.156\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.803, p=0.000\n", - "EGY-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.798, p=0.000\n", - "EGY-Electricity production from oil sources (% of total)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.776, p=0.000\n", - "EGY-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.747, p=0.000\n", - "EGY-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.842, p=0.000\n", - "EGY-Energy related methane emissions (% of total)\n", - "Statistical=0.795, p=0.000\n", - "EGY-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.710, p=0.000\n", - "EGY-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.905, p=0.008\n", - "EGY-Export unit value index (2000 = 100)\n", - "Statistical=0.883, p=0.002\n", - "EGY-Export value index (2000 = 100)\n", - "Statistical=0.834, p=0.000\n", - "EGY-Export volume index (2000 = 100)\n", - "Statistical=0.822, p=0.000\n", - "EGY-Exports of goods and services (% of GDP)\n", - "Statistical=0.728, p=0.000\n", - "EGY-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.932, p=0.045\n", - "EGY-Exports of goods and services (current US$)\n", - "Statistical=0.793, p=0.000\n", - "EGY-External balance on goods and services (% of GDP)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-External balance on goods and services (current US$)\n", - "Statistical=0.926, p=0.029\n", - "EGY-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.655, p=0.000\n", - "EGY-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.927, p=0.032\n", - "EGY-Final consumption expenditure (% of GDP)\n", - "Statistical=0.927, p=0.032\n", - "EGY-Final consumption expenditure (current US$)\n", - "Statistical=0.910, p=0.011\n", - "EGY-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.889, p=0.003\n", - "EGY-Firms offering formal training (% of firms)\n", - "Statistical=0.833, p=0.000\n", - "EGY-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.857, p=0.001\n", - "EGY-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.840, p=0.000\n", - "EGY-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.854, p=0.001\n", - "EGY-Fixed broadband subscriptions\n", - "Statistical=0.849, p=0.000\n", - "EGY-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.913, p=0.014\n", - "EGY-Fixed telephone subscriptions\n", - "Statistical=0.893, p=0.004\n", - "EGY-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Food exports (% of merchandise exports)\n", - "Statistical=0.827, p=0.000\n", - "EGY-Food imports (% of merchandise imports)\n", - "Statistical=0.917, p=0.017\n", - "EGY-Food production index (2014-2016 = 100)\n", - "Statistical=0.875, p=0.002\n", - "EGY-Forest area (% of land area)\n", - "Statistical=0.914, p=0.014\n", - "EGY-Forest area (sq. km)\n", - "Statistical=0.872, p=0.001\n", - "EGY-Forest rents (% of GDP)\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.831, p=0.000\n", - "EGY-Fuel exports (% of merchandise exports)\n", - "Statistical=0.911, p=0.012\n", - "EGY-Fuel imports (% of merchandise imports)\n", - "Statistical=0.837, p=0.000\n", - "EGY-GDP (current US$)\n", - "Statistical=0.895, p=0.005\n", - "EGY-GDP deflator (base year varies by country)\n", - "Statistical=0.817, p=0.000\n", - "EGY-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.946, p=0.111\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-GDP growth (annual %)\n", - "Statistical=0.960, p=0.276\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-GDP per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.932, p=0.044\n", - "EGY-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.836, p=0.000\n", - "EGY-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.719, p=0.000\n", - "EGY-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.709, p=0.000\n", - "EGY-GNI (current US$)\n", - "Statistical=0.833, p=0.000\n", - "EGY-GNI growth (annual %)\n", - "Statistical=0.831, p=0.000\n", - "EGY-GNI per capita growth (annual %)\n", - "Statistical=0.685, p=0.000\n", - "EGY-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.923, p=0.024\n", - "EGY-General government final consumption expenditure (current US$)\n", - "Statistical=0.926, p=0.030\n", - "EGY-Gini index\n", - "Statistical=0.962, p=0.313\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Goods imports (BoP, current US$)\n", - "Statistical=0.861, p=0.001\n", - "EGY-Grants and other revenue (% of revenue)\n", - "Statistical=0.748, p=0.000\n", - "EGY-Gross capital formation (% of GDP)\n", - "Statistical=0.926, p=0.031\n", - "EGY-Gross capital formation (current US$)\n", - "Statistical=0.891, p=0.004\n", - "EGY-Gross domestic savings (% of GDP)\n", - "Statistical=0.933, p=0.049\n", - "EGY-Gross domestic savings (current US$)\n", - "Statistical=0.914, p=0.014\n", - "EGY-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.732, p=0.000\n", - "EGY-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Gross national expenditure (current US$)\n", - "Statistical=0.511, p=0.000\n", - "EGY-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.910, p=0.011\n", - "EGY-Gross savings (% of GDP)\n", - "Statistical=0.921, p=0.022\n", - "EGY-Gross savings (current US$)\n", - "Statistical=0.820, p=0.000\n", - "EGY-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.800, p=0.000\n", - "EGY-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.727, p=0.000\n", - "EGY-High-technology exports (% of manufactured exports)\n", - "Statistical=0.701, p=0.000\n", - "EGY-High-technology exports (current US$)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Hospital beds (per 1,000 people)\n", - "Statistical=0.842, p=0.000\n", - "EGY-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.919, p=0.020\n", - "EGY-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.732, p=0.000\n", - "EGY-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.732, p=0.000\n", - "EGY-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.732, p=0.000\n", - "EGY-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=0.478, p=0.000\n", - "EGY-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.911, p=0.012\n", - "EGY-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.918, p=0.018\n", - "EGY-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.928, p=0.035\n", - "EGY-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-ICT goods exports (% of total goods exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-ICT goods imports (% total goods imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.920, p=0.020\n", - "EGY-ICT service exports (BoP, current US$)\n", - "Statistical=0.841, p=0.000\n", - "EGY-Import unit value index (2000 = 100)\n", - "Statistical=0.824, p=0.000\n", - "EGY-Import value index (2000 = 100)\n", - "Statistical=0.842, p=0.000\n", - "EGY-Import volume index (2000 = 100)\n", - "Statistical=0.846, p=0.000\n", - "EGY-Imports of goods and services (% of GDP)\n", - "Statistical=0.895, p=0.005\n", - "EGY-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.884, p=0.002\n", - "EGY-Imports of goods and services (current US$)\n", - "Statistical=0.903, p=0.007\n", - "EGY-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "EGY-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Income share held by lowest 10%\n", - "Statistical=0.869, p=0.001\n", - "EGY-Income share held by lowest 20%\n", - "Statistical=0.869, p=0.001\n", - "EGY-Income share held by second 20%\n", - "Statistical=0.893, p=0.004\n", - "EGY-Income share held by third 20%\n", - "Statistical=0.825, p=0.000\n", - "EGY-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.840, p=0.000\n", - "EGY-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.902, p=0.007\n", - "EGY-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.856, p=0.001\n", - "EGY-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.882, p=0.002\n", - "EGY-Individuals using the Internet (% of population)\n", - "Statistical=0.814, p=0.000\n", - "EGY-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.793, p=0.000\n", - "EGY-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.448, p=0.000\n", - "EGY-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.822, p=0.000\n", - "EGY-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.796, p=0.000\n", - "EGY-Intentional homicides (per 100,000 people)\n", - "Statistical=0.773, p=0.000\n", - "EGY-Interest payments (% of revenue)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-International migrant stock (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.734, p=0.000\n", - "EGY-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.734, p=0.000\n", - "EGY-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.734, p=0.000\n", - "EGY-Land area (sq. km)\n", - "Statistical=0.734, p=0.000\n", - "EGY-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.734, p=0.000\n", - "EGY-Land under cereal production (hectares)\n", - "Statistical=0.734, p=0.000\n", - "EGY-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.841, p=0.000\n", - "EGY-Lifetime risk of maternal death (%)\n", - "Statistical=0.960, p=0.268\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.838, p=0.000\n", - "EGY-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.891, p=0.004\n", - "EGY-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.843, p=0.000\n", - "EGY-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.965, p=0.370\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.913, p=0.013\n", - "EGY-Low-birthweight babies (% of births)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Lower secondary school starting age (years)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.973, p=0.577\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.912, p=0.013\n", - "EGY-Marine protected areas (% of territorial waters)\n", - "Statistical=0.919, p=0.020\n", - "EGY-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.904, p=0.008\n", - "EGY-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.932, p=0.044\n", - "EGY-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.923, p=0.025\n", - "EGY-Merchandise exports (current US$)\n", - "Statistical=0.962, p=0.315\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.973, p=0.572\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.962, p=0.309\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.981, p=0.840\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.740, p=0.000\n", - "EGY-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.965, p=0.381\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.708, p=0.000\n", - "EGY-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.926, p=0.031\n", - "EGY-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.684, p=0.000\n", - "EGY-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.834, p=0.000\n", - "EGY-Merchandise imports (current US$)\n", - "Statistical=0.883, p=0.002\n", - "EGY-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.847, p=0.000\n", - "EGY-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.855, p=0.001\n", - "EGY-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.357, p=0.000\n", - "EGY-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.826, p=0.000\n", - "EGY-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.816, p=0.000\n", - "EGY-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.867, p=0.001\n", - "EGY-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.897, p=0.005\n", - "EGY-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.953, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.870, p=0.001\n", - "EGY-Merchandise trade (% of GDP)\n", - "Statistical=0.968, p=0.448\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Methane emissions (% change from 1990)\n", - "Statistical=0.876, p=0.002\n", - "EGY-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.876, p=0.002\n", - "EGY-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.837, p=0.000\n", - "EGY-Military expenditure (% of GDP)\n", - "Statistical=0.851, p=0.000\n", - "EGY-Military expenditure (% of general government expenditure)\n", - "Statistical=0.882, p=0.002\n", - "EGY-Military expenditure (current USD)\n", - "Statistical=0.977, p=0.704\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Mineral rents (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Mobile cellular subscriptions\n", - "Statistical=0.729, p=0.000\n", - "EGY-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.823, p=0.000\n", - "EGY-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.910, p=0.012\n", - "EGY-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.775, p=0.000\n", - "EGY-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.864, p=0.001\n", - "EGY-Natural gas rents (% of GDP)\n", - "Statistical=0.876, p=0.002\n", - "EGY-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.889, p=0.003\n", - "EGY-Net capital account (BoP, current US$)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.894, p=0.004\n", - "EGY-Net financial account (BoP, current US$)\n", - "Statistical=0.954, p=0.189\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Net migration\n", - "Statistical=0.917, p=0.017\n", - "EGY-Net primary income (BoP, current US$)\n", - "Statistical=0.917, p=0.017\n", - "EGY-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.776, p=0.000\n", - "EGY-Net secondary income (BoP, current US$)\n", - "Statistical=0.858, p=0.001\n", - "EGY-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.727, p=0.000\n", - "EGY-Net trade in goods (BoP, current US$)\n", - "Statistical=0.709, p=0.000\n", - "EGY-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.630, p=0.000\n", - "EGY-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.763, p=0.000\n", - "EGY-New businesses registered (number)\n", - "Statistical=0.742, p=0.000\n", - "EGY-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.709, p=0.000\n", - "EGY-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.731, p=0.000\n", - "EGY-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Number of deaths ages 10-14 years\n", - "Statistical=0.957, p=0.233\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Number of deaths ages 15-19 years\n", - "Statistical=0.874, p=0.001\n", - "EGY-Number of deaths ages 20-24 years\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Number of deaths ages 5-9 years\n", - "Statistical=0.891, p=0.004\n", - "EGY-Number of infant deaths\n", - "Statistical=0.958, p=0.238\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Number of maternal deaths\n", - "Statistical=0.883, p=0.002\n", - "EGY-Number of neonatal deaths\n", - "Statistical=0.961, p=0.298\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Number of under-five deaths\n", - "Statistical=0.870, p=0.001\n", - "EGY-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.911, p=0.012\n", - "EGY-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.846, p=0.000\n", - "EGY-Oil rents (% of GDP)\n", - "Statistical=0.897, p=0.005\n", - "EGY-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.897, p=0.005\n", - "EGY-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.941, p=0.081\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.868, p=0.001\n", - "EGY-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.969, p=0.479\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.892, p=0.004\n", - "EGY-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.931, p=0.041\n", - "EGY-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.931, p=0.041\n", - "EGY-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.794, p=0.000\n", - "EGY-People using at least basic drinking water services (% of population)\n", - "Statistical=0.868, p=0.001\n", - "EGY-People using at least basic sanitation services (% of population)\n", - "Statistical=0.807, p=0.000\n", - "EGY-People using safely managed sanitation services (% of population)\n", - "Statistical=0.807, p=0.000\n", - "EGY-Permanent cropland (% of land area)\n", - "Statistical=0.983, p=0.892\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Physicians (per 1,000 people)\n", - "Statistical=0.924, p=0.027\n", - "EGY-Population ages 0-14 (% of total population)\n", - "Statistical=0.924, p=0.027\n", - "EGY-Population ages 15-64 (% of total population)\n", - "Statistical=0.815, p=0.000\n", - "EGY-Population ages 65 and above (% of total population)\n", - "Statistical=0.874, p=0.001\n", - "EGY-Population density (people per sq. km of land area)\n", - "Statistical=0.983, p=0.878\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Population growth (annual %)\n", - "Statistical=0.924, p=0.027\n", - "EGY-Population in largest city\n", - "Statistical=0.906, p=0.009\n", - "EGY-Population in the largest city (% of urban population)\n", - "Statistical=0.927, p=0.032\n", - "EGY-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.891, p=0.004\n", - "EGY-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.931, p=0.041\n", - "EGY-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.907, p=0.009\n", - "EGY-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.794, p=0.000\n", - "EGY-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.796, p=0.000\n", - "EGY-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.873, p=0.001\n", - "EGY-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.982, p=0.859\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.926, p=0.030\n", - "EGY-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.926, p=0.030\n", - "EGY-Prevalence of undernourishment (% of population)\n", - "Statistical=0.818, p=0.000\n", - "EGY-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.979, p=0.760\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Primary income payments (BoP, current US$)\n", - "Statistical=0.875, p=0.002\n", - "EGY-Primary income receipts (BoP, current US$)\n", - "Statistical=0.926, p=0.030\n", - "EGY-Primary school starting age (years)\n", - "Statistical=0.909, p=0.011\n", - "EGY-Private credit bureau coverage (% of adults)\n", - "Statistical=0.852, p=0.000\n", - "EGY-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.911, p=0.012\n", - "EGY-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.796, p=0.000\n", - "EGY-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.917, p=0.017\n", - "EGY-Procedures to build a warehouse (number)\n", - "Statistical=0.988, p=0.969\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Procedures to register property (number)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Profit tax (% of commercial profits)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Progression to secondary school (%)\n", - "Statistical=0.812, p=0.000\n", - "EGY-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.902, p=0.007\n", - "EGY-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.923, p=0.025\n", - "EGY-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.837, p=0.000\n", - "EGY-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.820, p=0.000\n", - "EGY-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.921, p=0.022\n", - "EGY-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.657, p=0.000\n", - "EGY-Public credit registry coverage (% of adults)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Pump price for gasoline (US$ per liter)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Rail lines (total route-km)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.836, p=0.000\n", - "EGY-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.970, p=0.503\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Refugee population by country or territory of asylum\n", - "Statistical=0.969, p=0.461\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Refugee population by country or territory of origin\n", - "Statistical=0.919, p=0.019\n", - "EGY-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.931, p=0.043\n", - "EGY-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.931, p=0.043\n", - "EGY-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.814, p=0.000\n", - "EGY-Research and development expenditure (% of GDP)\n", - "Statistical=0.878, p=0.002\n", - "EGY-Researchers in R&D (per million people)\n", - "Statistical=0.931, p=0.041\n", - "EGY-Reserves and related items (BoP, current US$)\n", - "Statistical=0.894, p=0.004\n", - "EGY-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.857, p=0.001\n", - "EGY-Rural land area (sq. km)\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.962, p=0.308\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.947, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Rural population\n", - "Statistical=0.931, p=0.043\n", - "EGY-Rural population (% of total population)\n", - "Statistical=0.931, p=0.043\n", - "EGY-Rural population growth (annual %)\n", - "Statistical=0.810, p=0.000\n", - "EGY-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.884, p=0.002\n", - "EGY-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.832, p=0.000\n", - "EGY-Scientific and technical journal articles\n", - "Statistical=0.840, p=0.000\n", - "EGY-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.827, p=0.000\n", - "EGY-Secure Internet servers\n", - "Statistical=0.977, p=0.704\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Secure Internet servers (per 1 million people)\n", - "Statistical=0.914, p=0.014\n", - "EGY-Service exports (BoP, current US$)\n", - "Statistical=0.914, p=0.015\n", - "EGY-Service imports (BoP, current US$)\n", - "Statistical=0.782, p=0.000\n", - "EGY-Sex ratio at birth (male births per female births)\n", - "Statistical=0.863, p=0.001\n", - "EGY-Social contributions (% of revenue)\n", - "Statistical=0.825, p=0.000\n", - "EGY-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.923, p=0.026\n", - "EGY-Start-up procedures to register a business (number)\n", - "Statistical=0.921, p=0.022\n", - "EGY-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.858, p=0.001\n", - "EGY-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.864, p=0.001\n", - "EGY-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.923, p=0.024\n", - "EGY-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.923, p=0.024\n", - "EGY-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.789, p=0.000\n", - "EGY-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.851, p=0.000\n", - "EGY-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.748, p=0.000\n", - "EGY-Surface area (sq. km)\n", - "Statistical=0.819, p=0.000\n", - "EGY-Tax payments (number)\n", - "Statistical=0.828, p=0.000\n", - "EGY-Tax revenue (% of GDP)\n", - "Statistical=0.969, p=0.480\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Taxes less subsidies on products (current US$)\n", - "Statistical=0.912, p=0.013\n", - "EGY-Taxes on goods and services (% of revenue)\n", - "Statistical=0.912, p=0.013\n", - "EGY-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.770, p=0.000\n", - "EGY-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.856, p=0.001\n", - "EGY-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.900, p=0.006\n", - "EGY-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.966, p=0.407\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Time required to build a warehouse (days)\n", - "Statistical=0.912, p=0.013\n", - "EGY-Time required to enforce a contract (days)\n", - "Statistical=0.890, p=0.003\n", - "EGY-Time required to get electricity (days)\n", - "Statistical=0.894, p=0.004\n", - "EGY-Time required to register property (days)\n", - "Statistical=0.770, p=0.000\n", - "EGY-Time required to start a business (days)\n", - "Statistical=0.603, p=0.000\n", - "EGY-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.633, p=0.000\n", - "EGY-Time to obtain an electrical connection (days)\n", - "Statistical=0.606, p=0.000\n", - "EGY-Time to prepare and pay taxes (hours)\n", - "Statistical=0.644, p=0.000\n", - "EGY-Time to resolve insolvency (years)\n", - "Statistical=0.468, p=0.000\n", - "EGY-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.462, p=0.000\n", - "EGY-Total fisheries production (metric tons)\n", - "Statistical=0.426, p=0.000\n", - "EGY-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.630, p=0.000\n", - "EGY-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.640, p=0.000\n", - "EGY-Total natural resources rents (% of GDP)\n", - "Statistical=0.616, p=0.000\n", - "EGY-Total reserves (includes gold, current US$)\n", - "Statistical=0.918, p=0.019\n", - "EGY-Total reserves in months of imports\n", - "Statistical=0.922, p=0.023\n", - "EGY-Total reserves minus gold (current US$)\n", - "Statistical=0.886, p=0.003\n", - "EGY-Total tax and contribution rate (% of profit)\n", - "Statistical=0.860, p=0.001\n", - "EGY-Trade (% of GDP)\n", - "Statistical=0.842, p=0.000\n", - "EGY-Trade in services (% of GDP)\n", - "Statistical=0.914, p=0.014\n", - "EGY-Transport services (% of commercial service exports)\n", - "Statistical=0.892, p=0.004\n", - "EGY-Transport services (% of commercial service imports)\n", - "Statistical=0.830, p=0.000\n", - "EGY-Transport services (% of service exports, BoP)\n", - "Statistical=0.873, p=0.001\n", - "EGY-Transport services (% of service imports, BoP)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Travel services (% of commercial service exports)\n", - "Statistical=0.833, p=0.000\n", - "EGY-Travel services (% of commercial service imports)\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Travel services (% of service exports, BoP)\n", - "Statistical=0.871, p=0.001\n", - "EGY-Travel services (% of service imports, BoP)\n", - "Statistical=0.871, p=0.001\n", - "EGY-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.829, p=0.000\n", - "EGY-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.827, p=0.000\n", - "EGY-UHC service coverage index\n", - "Statistical=0.837, p=0.000\n", - "EGY-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.864, p=0.001\n", - "EGY-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.976, p=0.666\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Urban land area (sq. km)\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.891, p=0.004\n", - "EGY-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.926, p=0.030\n", - "EGY-Urban population\n", - "Statistical=0.968, p=0.435\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Urban population (% of total population)\n", - "Statistical=0.987, p=0.953\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Urban population growth (annual %)\n", - "Statistical=0.798, p=0.000\n", - "EGY-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.798, p=0.000\n", - "EGY-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.826, p=0.000\n", - "EGY-GDP (current US$)+1\n", - "Statistical=0.826, p=0.000\n", - "EGY-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-GDP (current US$)+2\n", - "Statistical=0.741, p=0.000\n", - "EGY-GDP (current US$)+3\n", - "Statistical=0.908, p=0.010\n", - "EGY-GDP (current US$)+5\n", - "Statistical=0.967, p=0.432\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-GDP (current US$)+8\n", - "Statistical=0.916, p=0.016\n", - "EGY-GDP (current US$)+13\n", - "Statistical=0.920, p=0.021\n", - "EGY-GDP (current US$)+21\n", - "Statistical=0.920, p=0.021\n", - "EGY-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.779, p=0.000\n", - "EGY-Deposit interest rate (%)\n", - "Statistical=0.844, p=0.000\n", - "EGY-Other taxes (% of revenue)\n", - "Statistical=0.844, p=0.000\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EGY-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.971, p=0.534\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Taxes on international trade (% of revenue)\n", - "Statistical=0.971, p=0.534\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.961, p=0.302\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Broad money (% of GDP)\n", - "Statistical=0.914, p=0.014\n", - "EGY-Broad money growth (annual %)\n", - "Statistical=0.880, p=0.002\n", - "EGY-Broad money to total reserves ratio\n", - "Statistical=0.915, p=0.016\n", - "EGY-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.889, p=0.003\n", - "EGY-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.797, p=0.000\n", - "EGY-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.900, p=0.006\n", - "EGY-External health expenditure (% of current health expenditure)\n", - "Statistical=0.799, p=0.000\n", - "EGY-External health expenditure per capita (current US$)\n", - "Statistical=0.362, p=0.000\n", - "EGY-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.775, p=0.000\n", - "EGY-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.741, p=0.000\n", - "EGY-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.919, p=0.020\n", - "EGY-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.873, p=0.001\n", - "EGY-People practicing open defecation (% of population)\n", - "Statistical=0.888, p=0.003\n", - "EGY-Taxes on exports (% of tax revenue)\n", - "Statistical=0.873, p=0.001\n", - "EGY-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.900, p=0.006\n", - "EGY-Country\n", - "Statistical=0.966, p=0.390\n", - "Data is NORMAL ( H0 not denied )\n", - "EGY-Year\n", - "Statistical=0.872, p=0.001\n", - "EGY-Continent\n", - "Statistical=0.895, p=0.005\n", - "LBY-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Adjusted net national income (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Adjusted net national income per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.854, p=0.001\n", - "LBY-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.779, p=0.000\n", - "LBY-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Adjusted savings: net national savings (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Age dependency ratio (% of working-age population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Agricultural land (% of land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Agricultural land (sq. km)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Agricultural methane emissions (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.843, p=0.000\n", - "LBY-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Aquaculture production (metric tons)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Arable land (% of land area)\n", - "Statistical=0.847, p=0.000\n", - "LBY-Arable land (hectares per person)\n", - "Statistical=0.688, p=0.000\n", - "LBY-Arable land (hectares)\n", - "Statistical=0.712, p=0.000\n", - "LBY-Armed forces personnel (% of total labor force)\n", - "Statistical=0.688, p=0.000\n", - "LBY-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.712, p=0.000\n", - "LBY-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.909, p=0.011\n", - "LBY-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.900, p=0.006\n", - "LBY-Average precipitation in depth (mm per year)\n", - "Statistical=0.880, p=0.002\n", - "LBY-Average time to clear exports through customs (days)\n", - "Statistical=0.968, p=0.458\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Births attended by skilled health staff (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.838, p=0.000\n", - "LBY-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.837, p=0.000\n", - "LBY-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.881, p=0.002\n", - "LBY-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.687, p=0.000\n", - "LBY-CO2 emissions (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-CO2 emissions (metric tons per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.837, p=0.000\n", - "LBY-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=0.757, p=0.000\n", - "LBY-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=0.870, p=0.001\n", - "LBY-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.688, p=0.000\n", - "LBY-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.711, p=0.000\n", - "LBY-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.827, p=0.000\n", - "LBY-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.751, p=0.000\n", - "LBY-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Capture fisheries production (metric tons)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Cereal production (metric tons)\n", - "Statistical=0.814, p=0.000\n", - "LBY-Cereal yield (kg per hectare)\n", - "Statistical=0.974, p=0.630\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Changes in inventories (current US$)\n", - "Statistical=0.822, p=0.000\n", - "LBY-Chemicals (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Children out of school (% of primary school age)\n", - "Statistical=0.839, p=0.000\n", - "LBY-Coal rents (% of GDP)\n", - "Statistical=0.839, p=0.000\n", - "LBY-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.627, p=0.000\n", - "LBY-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.615, p=0.000\n", - "LBY-Commercial service exports (current US$)\n", - "Statistical=0.791, p=0.000\n", - "LBY-Commercial service imports (current US$)\n", - "Statistical=0.879, p=0.002\n", - "LBY-Completeness of birth registration (%)\n", - "Statistical=0.847, p=0.000\n", - "LBY-Consumer price index (2010 = 100)\n", - "Statistical=0.862, p=0.001\n", - "LBY-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.696, p=0.000\n", - "LBY-Crop production index (2014-2016 = 100)\n", - "Statistical=0.774, p=0.000\n", - "LBY-Current account balance (% of GDP)\n", - "Statistical=0.697, p=0.000\n", - "LBY-Current account balance (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Current health expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Current health expenditure per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.698, p=0.000\n", - "LBY-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.689, p=0.000\n", - "LBY-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.706, p=0.000\n", - "LBY-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.899, p=0.006\n", - "LBY-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.731, p=0.000\n", - "LBY-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.853, p=0.000\n", - "LBY-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.876, p=0.002\n", - "LBY-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.805, p=0.000\n", - "LBY-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.805, p=0.000\n", - "LBY-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.767, p=0.000\n", - "LBY-Electric power consumption (kWh per capita)\n", - "Statistical=0.834, p=0.000\n", - "LBY-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.882, p=0.002\n", - "LBY-Electricity production from coal sources (% of total)\n", - "Statistical=0.834, p=0.000\n", - "LBY-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.697, p=0.000\n", - "LBY-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.761, p=0.000\n", - "LBY-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.864, p=0.001\n", - "LBY-Electricity production from oil sources (% of total)\n", - "Statistical=0.688, p=0.000\n", - "LBY-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.793, p=0.000\n", - "LBY-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Energy related methane emissions (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Energy use (kg of oil equivalent per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.902, p=0.007\n", - "LBY-Export unit value index (2000 = 100)\n", - "Statistical=0.812, p=0.000\n", - "LBY-Export value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Export volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Exports of goods and services (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.860, p=0.001\n", - "LBY-Exports of goods and services (current US$)\n", - "Statistical=0.809, p=0.000\n", - "LBY-External balance on goods and services (% of GDP)\n", - "Statistical=0.962, p=0.319\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-External balance on goods and services (current US$)\n", - "Statistical=0.805, p=0.000\n", - "LBY-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.585, p=0.000\n", - "LBY-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.802, p=0.000\n", - "LBY-Final consumption expenditure (% of GDP)\n", - "Statistical=0.802, p=0.000\n", - "LBY-Final consumption expenditure (current US$)\n", - "Statistical=0.893, p=0.004\n", - "LBY-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.933, p=0.047\n", - "LBY-Firms offering formal training (% of firms)\n", - "Statistical=0.962, p=0.320\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.929, p=0.037\n", - "LBY-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.931, p=0.042\n", - "LBY-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.910, p=0.011\n", - "LBY-Fixed broadband subscriptions\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Fixed telephone subscriptions\n", - "Statistical=0.883, p=0.002\n", - "LBY-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Food exports (% of merchandise exports)\n", - "Statistical=0.866, p=0.001\n", - "LBY-Food imports (% of merchandise imports)\n", - "Statistical=0.591, p=0.000\n", - "LBY-Food production index (2014-2016 = 100)\n", - "Statistical=0.573, p=0.000\n", - "LBY-Forest area (% of land area)\n", - "Statistical=0.855, p=0.001\n", - "LBY-Forest area (sq. km)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Forest rents (% of GDP)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.817, p=0.000\n", - "LBY-Fuel exports (% of merchandise exports)\n", - "Statistical=0.809, p=0.000\n", - "LBY-Fuel imports (% of merchandise imports)\n", - "Statistical=0.928, p=0.035\n", - "LBY-GDP (current US$)\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GDP deflator (base year varies by country)\n", - "Statistical=0.926, p=0.030\n", - "LBY-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.774, p=0.000\n", - "LBY-GDP growth (annual %)\n", - "Statistical=0.722, p=0.000\n", - "LBY-GDP per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GNI (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GNI growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GNI per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.950, p=0.147\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-General government final consumption expenditure (current US$)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Gini index\n", - "Statistical=0.967, p=0.428\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Goods imports (BoP, current US$)\n", - "Statistical=0.928, p=0.034\n", - "LBY-Grants and other revenue (% of revenue)\n", - "Statistical=0.744, p=0.000\n", - "LBY-Gross capital formation (% of GDP)\n", - "Statistical=0.869, p=0.001\n", - "LBY-Gross capital formation (current US$)\n", - "Statistical=0.877, p=0.002\n", - "LBY-Gross domestic savings (% of GDP)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Gross domestic savings (current US$)\n", - "Statistical=0.968, p=0.457\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Gross fixed capital formation (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Gross fixed capital formation (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Gross national expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.868, p=0.001\n", - "LBY-Gross savings (% of GDP)\n", - "Statistical=0.882, p=0.002\n", - "LBY-Gross savings (current US$)\n", - "Statistical=0.896, p=0.005\n", - "LBY-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.681, p=0.000\n", - "LBY-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.736, p=0.000\n", - "LBY-High-technology exports (% of manufactured exports)\n", - "Statistical=0.830, p=0.000\n", - "LBY-High-technology exports (current US$)\n", - "Statistical=0.861, p=0.001\n", - "LBY-Hospital beds (per 1,000 people)\n", - "Statistical=0.853, p=0.000\n", - "LBY-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.848, p=0.000\n", - "LBY-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.576, p=0.000\n", - "LBY-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.576, p=0.000\n", - "LBY-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.576, p=0.000\n", - "LBY-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.892, p=0.004\n", - "LBY-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.984, p=0.901\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-ICT goods exports (% of total goods exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-ICT goods imports (% total goods imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.800, p=0.000\n", - "LBY-ICT service exports (BoP, current US$)\n", - "Statistical=0.909, p=0.011\n", - "LBY-Import unit value index (2000 = 100)\n", - "Statistical=0.586, p=0.000\n", - "LBY-Import value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Import volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Imports of goods and services (% of GDP)\n", - "Statistical=0.749, p=0.000\n", - "LBY-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.870, p=0.001\n", - "LBY-Imports of goods and services (current US$)\n", - "Statistical=0.787, p=0.000\n", - "LBY-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "LBY-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Income share held by highest 20%\n", - "Statistical=0.698, p=0.000\n", - "LBY-Income share held by lowest 10%\n", - "Statistical=0.945, p=0.105\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Income share held by lowest 20%\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Income share held by second 20%\n", - "Statistical=0.741, p=0.000\n", - "LBY-Income share held by third 20%\n", - "Statistical=0.825, p=0.000\n", - "LBY-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.802, p=0.000\n", - "LBY-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.817, p=0.000\n", - "LBY-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.805, p=0.000\n", - "LBY-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.827, p=0.000\n", - "LBY-Individuals using the Internet (% of population)\n", - "Statistical=0.742, p=0.000\n", - "LBY-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.798, p=0.000\n", - "LBY-Industry (including construction), value added (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.611, p=0.000\n", - "LBY-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Intentional homicides (per 100,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Interest payments (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-International migrant stock (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Labor tax and contributions (% of commercial profits)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Land area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Land under cereal production (hectares)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.822, p=0.000\n", - "LBY-Lifetime risk of maternal death (%)\n", - "Statistical=0.870, p=0.001\n", - "LBY-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Livestock production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.885, p=0.003\n", - "LBY-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.773, p=0.000\n", - "LBY-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.933, p=0.046\n", - "LBY-Low-birthweight babies (% of births)\n", - "Statistical=0.884, p=0.003\n", - "LBY-Lower secondary school starting age (years)\n", - "Statistical=0.913, p=0.013\n", - "LBY-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.897, p=0.005\n", - "LBY-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.888, p=0.003\n", - "LBY-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.905, p=0.008\n", - "LBY-Marine protected areas (% of territorial waters)\n", - "Statistical=0.912, p=0.013\n", - "LBY-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.930, p=0.040\n", - "LBY-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.865, p=0.001\n", - "LBY-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.902, p=0.007\n", - "LBY-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.829, p=0.000\n", - "LBY-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.826, p=0.000\n", - "LBY-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Merchandise exports (current US$)\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.906, p=0.009\n", - "LBY-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.911, p=0.012\n", - "LBY-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.924, p=0.027\n", - "LBY-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.919, p=0.020\n", - "LBY-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.913, p=0.013\n", - "LBY-Merchandise imports (current US$)\n", - "Statistical=0.923, p=0.025\n", - "LBY-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.808, p=0.000\n", - "LBY-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.947, p=0.120\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.866, p=0.001\n", - "LBY-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.833, p=0.000\n", - "LBY-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.823, p=0.000\n", - "LBY-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.878, p=0.002\n", - "LBY-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.896, p=0.005\n", - "LBY-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.901, p=0.007\n", - "LBY-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.869, p=0.001\n", - "LBY-Merchandise trade (% of GDP)\n", - "Statistical=0.840, p=0.000\n", - "LBY-Methane emissions (% change from 1990)\n", - "Statistical=0.803, p=0.000\n", - "LBY-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.803, p=0.000\n", - "LBY-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.837, p=0.000\n", - "LBY-Military expenditure (% of GDP)\n", - "Statistical=0.822, p=0.000\n", - "LBY-Military expenditure (% of general government expenditure)\n", - "Statistical=0.865, p=0.001\n", - "LBY-Military expenditure (current USD)\n", - "Statistical=0.926, p=0.030\n", - "LBY-Mineral rents (% of GDP)\n", - "Statistical=0.809, p=0.000\n", - "LBY-Mobile cellular subscriptions\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.949, p=0.137\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Natural gas rents (% of GDP)\n", - "Statistical=0.812, p=0.000\n", - "LBY-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.887, p=0.003\n", - "LBY-Net capital account (BoP, current US$)\n", - "Statistical=0.965, p=0.380\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.771, p=0.000\n", - "LBY-Net financial account (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Net migration\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Net primary income (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.781, p=0.000\n", - "LBY-Net secondary income (BoP, current US$)\n", - "Statistical=0.788, p=0.000\n", - "LBY-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Net trade in goods (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Net trade in goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-New businesses registered (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.538, p=0.000\n", - "LBY-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.537, p=0.000\n", - "LBY-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.923, p=0.026\n", - "LBY-Number of deaths ages 10-14 years\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Number of deaths ages 15-19 years\n", - "Statistical=0.678, p=0.000\n", - "LBY-Number of deaths ages 20-24 years\n", - "Statistical=0.789, p=0.000\n", - "LBY-Number of deaths ages 5-9 years\n", - "Statistical=0.918, p=0.018\n", - "LBY-Number of infant deaths\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Number of maternal deaths\n", - "Statistical=0.975, p=0.633\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Number of neonatal deaths\n", - "Statistical=0.817, p=0.000\n", - "LBY-Number of under-five deaths\n", - "Statistical=0.738, p=0.000\n", - "LBY-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.987, p=0.957\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.974, p=0.608\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Oil rents (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Ores and metals exports (% of merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.949, p=0.135\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.654, p=0.000\n", - "LBY-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.646, p=0.000\n", - "LBY-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.914, p=0.014\n", - "LBY-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.914, p=0.014\n", - "LBY-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.899, p=0.006\n", - "LBY-People using at least basic drinking water services (% of population)\n", - "Statistical=0.841, p=0.000\n", - "LBY-People using at least basic sanitation services (% of population)\n", - "Statistical=0.869, p=0.001\n", - "LBY-People using safely managed sanitation services (% of population)\n", - "Statistical=0.869, p=0.001\n", - "LBY-Permanent cropland (% of land area)\n", - "Statistical=0.896, p=0.005\n", - "LBY-Physicians (per 1,000 people)\n", - "Statistical=0.926, p=0.030\n", - "LBY-Population ages 0-14 (% of total population)\n", - "Statistical=0.926, p=0.030\n", - "LBY-Population ages 15-64 (% of total population)\n", - "Statistical=0.893, p=0.004\n", - "LBY-Population ages 65 and above (% of total population)\n", - "Statistical=0.948, p=0.128\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Population density (people per sq. km of land area)\n", - "Statistical=0.902, p=0.007\n", - "LBY-Population growth (annual %)\n", - "Statistical=0.926, p=0.030\n", - "LBY-Population in largest city\n", - "Statistical=0.903, p=0.007\n", - "LBY-Population in the largest city (% of urban population)\n", - "Statistical=0.898, p=0.005\n", - "LBY-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.795, p=0.000\n", - "LBY-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.912, p=0.013\n", - "LBY-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.914, p=0.014\n", - "LBY-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.824, p=0.000\n", - "LBY-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.859, p=0.001\n", - "LBY-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Pregnant women receiving prenatal care (%)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.817, p=0.000\n", - "LBY-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.805, p=0.000\n", - "LBY-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Prevalence of current tobacco use (% of adults)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Prevalence of undernourishment (% of population)\n", - "Statistical=0.795, p=0.000\n", - "LBY-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Primary income payments (BoP, current US$)\n", - "Statistical=0.707, p=0.000\n", - "LBY-Primary income receipts (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Primary school starting age (years)\n", - "Statistical=0.891, p=0.004\n", - "LBY-Private credit bureau coverage (% of adults)\n", - "Statistical=0.726, p=0.000\n", - "LBY-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.835, p=0.000\n", - "LBY-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.817, p=0.000\n", - "LBY-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.787, p=0.000\n", - "LBY-Procedures to build a warehouse (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Procedures to register property (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Profit tax (% of commercial profits)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Progression to secondary school (%)\n", - "Statistical=0.755, p=0.000\n", - "LBY-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.835, p=0.000\n", - "LBY-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.867, p=0.001\n", - "LBY-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.888, p=0.003\n", - "LBY-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Public credit registry coverage (% of adults)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Pump price for gasoline (US$ per liter)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Rail lines (total route-km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.709, p=0.000\n", - "LBY-Refugee population by country or territory of asylum\n", - "Statistical=0.774, p=0.000\n", - "LBY-Refugee population by country or territory of origin\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Renewable electricity output (% of total electricity output)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.722, p=0.000\n", - "LBY-Research and development expenditure (% of GDP)\n", - "Statistical=0.827, p=0.000\n", - "LBY-Researchers in R&D (per million people)\n", - "Statistical=0.836, p=0.000\n", - "LBY-Reserves and related items (BoP, current US$)\n", - "Statistical=0.771, p=0.000\n", - "LBY-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.712, p=0.000\n", - "LBY-Rural land area (sq. km)\n", - "Statistical=0.735, p=0.000\n", - "LBY-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.786, p=0.000\n", - "LBY-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Rural population\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Rural population (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Rural population growth (annual %)\n", - "Statistical=0.705, p=0.000\n", - "LBY-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.743, p=0.000\n", - "LBY-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Scientific and technical journal articles\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Secondary income receipts (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Secure Internet servers\n", - "Statistical=0.822, p=0.000\n", - "LBY-Secure Internet servers (per 1 million people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Service exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Service imports (BoP, current US$)\n", - "Statistical=0.754, p=0.000\n", - "LBY-Sex ratio at birth (male births per female births)\n", - "Statistical=0.730, p=0.000\n", - "LBY-Social contributions (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.690, p=0.000\n", - "LBY-Start-up procedures to register a business (number)\n", - "Statistical=0.687, p=0.000\n", - "LBY-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.711, p=0.000\n", - "LBY-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.711, p=0.000\n", - "LBY-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.707, p=0.000\n", - "LBY-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.709, p=0.000\n", - "LBY-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Suicide mortality rate (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Surface area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Tax payments (number)\n", - "Statistical=0.733, p=0.000\n", - "LBY-Tax revenue (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Taxes less subsidies on products (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Taxes on goods and services (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.788, p=0.000\n", - "LBY-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.784, p=0.000\n", - "LBY-Terrestrial protected areas (% of total land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Time required to build a warehouse (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Time required to enforce a contract (days)\n", - "Statistical=0.730, p=0.000\n", - "LBY-Time required to get electricity (days)\n", - "Statistical=0.778, p=0.000\n", - "LBY-Time required to register property (days)\n", - "Statistical=0.737, p=0.000\n", - "LBY-Time required to start a business (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Time to obtain an electrical connection (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Time to prepare and pay taxes (hours)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Time to resolve insolvency (years)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Total fisheries production (metric tons)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Total natural resources rents (% of GDP)\n", - "Statistical=0.391, p=0.000\n", - "LBY-Total reserves (includes gold, current US$)\n", - "Statistical=0.726, p=0.000\n", - "LBY-Total reserves in months of imports\n", - "Statistical=0.687, p=0.000\n", - "LBY-Total reserves minus gold (current US$)\n", - "Statistical=0.839, p=0.000\n", - "LBY-Total tax and contribution rate (% of profit)\n", - "Statistical=0.848, p=0.000\n", - "LBY-Trade (% of GDP)\n", - "Statistical=0.893, p=0.004\n", - "LBY-Trade in services (% of GDP)\n", - "Statistical=0.925, p=0.028\n", - "LBY-Transport services (% of commercial service exports)\n", - "Statistical=0.892, p=0.004\n", - "LBY-Transport services (% of commercial service imports)\n", - "Statistical=0.838, p=0.000\n", - "LBY-Transport services (% of service exports, BoP)\n", - "Statistical=0.842, p=0.000\n", - "LBY-Transport services (% of service imports, BoP)\n", - "Statistical=0.943, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Travel services (% of commercial service exports)\n", - "Statistical=0.894, p=0.004\n", - "LBY-Travel services (% of commercial service imports)\n", - "Statistical=0.805, p=0.000\n", - "LBY-Travel services (% of service exports, BoP)\n", - "Statistical=0.763, p=0.000\n", - "LBY-Travel services (% of service imports, BoP)\n", - "Statistical=0.763, p=0.000\n", - "LBY-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.884, p=0.002\n", - "LBY-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.878, p=0.002\n", - "LBY-UHC service coverage index\n", - "Statistical=0.892, p=0.004\n", - "LBY-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Urban land area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Urban population\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Urban population (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GDP (current US$)+2\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GDP (current US$)+3\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GDP (current US$)+5\n", - "Statistical=0.774, p=0.000\n", - "LBY-GDP (current US$)+8\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GDP (current US$)+13\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-GDP (current US$)+21\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.708, p=0.000\n", - "LBY-Deposit interest rate (%)\n", - "Statistical=0.709, p=0.000\n", - "LBY-Other taxes (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.813, p=0.000\n", - "LBY-Taxes on international trade (% of revenue)\n", - "Statistical=0.813, p=0.000\n", - "LBY-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.908, p=0.010\n", - "LBY-Broad money (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Broad money growth (annual %)\n", - "Statistical=0.841, p=0.000\n", - "LBY-Broad money to total reserves ratio\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.834, p=0.000\n", - "LBY-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-External health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBY-External health expenditure per capita (current US$)\n", - "Statistical=0.558, p=0.000\n", - "LBY-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.814, p=0.000\n", - "LBY-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.913, p=0.014\n", - "LBY-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.916, p=0.016\n", - "LBY-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.897, p=0.005\n", - "LBY-People practicing open defecation (% of population)\n", - "Statistical=0.919, p=0.020\n", - "LBY-Taxes on exports (% of tax revenue)\n", - "Statistical=0.865, p=0.001\n", - "LBY-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.796, p=0.000\n", - "LBY-Country\n", - "Statistical=0.778, p=0.000\n", - "LBY-Year\n", - "Statistical=0.877, p=0.002\n", - "LBY-Continent\n", - "Statistical=0.902, p=0.007\n", - "ISR-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.586, p=0.000\n", - "ISR-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.723, p=0.000\n", - "ISR-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.608, p=0.000\n", - "ISR-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.584, p=0.000\n", - "ISR-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.615, p=0.000\n", - "ISR-Age dependency ratio (% of working-age population)\n", - "Statistical=0.656, p=0.000\n", - "ISR-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.626, p=0.000\n", - "ISR-Agricultural land (% of land area)\n", - "Statistical=0.596, p=0.000\n", - "ISR-Agricultural land (sq. km)\n", - "Statistical=0.661, p=0.000\n", - "ISR-Agricultural methane emissions (% of total)\n", - "Statistical=0.932, p=0.046\n", - "ISR-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.832, p=0.000\n", - "ISR-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.881, p=0.002\n", - "ISR-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.887, p=0.003\n", - "ISR-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.853, p=0.000\n", - "ISR-Aquaculture production (metric tons)\n", - "Statistical=0.866, p=0.001\n", - "ISR-Arable land (% of land area)\n", - "Statistical=0.892, p=0.004\n", - "ISR-Arable land (hectares per person)\n", - "Statistical=0.918, p=0.018\n", - "ISR-Arable land (hectares)\n", - "Statistical=0.846, p=0.000\n", - "ISR-Armed forces personnel (% of total labor force)\n", - "Statistical=0.921, p=0.023\n", - "ISR-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.846, p=0.000\n", - "ISR-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Average precipitation in depth (mm per year)\n", - "Statistical=0.913, p=0.014\n", - "ISR-Average time to clear exports through customs (days)\n", - "Statistical=0.910, p=0.011\n", - "ISR-Births attended by skilled health staff (% of total)\n", - "Statistical=0.844, p=0.000\n", - "ISR-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.898, p=0.005\n", - "ISR-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.824, p=0.000\n", - "ISR-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.811, p=0.000\n", - "ISR-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.950, p=0.144\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-CO2 emissions (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-CO2 emissions (metric tons per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.814, p=0.000\n", - "ISR-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.954, p=0.193\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.831, p=0.000\n", - "ISR-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.844, p=0.000\n", - "ISR-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.829, p=0.000\n", - "ISR-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.680, p=0.000\n", - "ISR-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Capture fisheries production (metric tons)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Cereal production (metric tons)\n", - "Statistical=0.896, p=0.005\n", - "ISR-Cereal yield (kg per hectare)\n", - "Statistical=0.842, p=0.000\n", - "ISR-Changes in inventories (current US$)\n", - "Statistical=0.934, p=0.050\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.835, p=0.000\n", - "ISR-Children out of school (% of primary school age)\n", - "Statistical=0.907, p=0.009\n", - "ISR-Coal rents (% of GDP)\n", - "Statistical=0.907, p=0.009\n", - "ISR-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.819, p=0.000\n", - "ISR-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.885, p=0.003\n", - "ISR-Commercial service exports (current US$)\n", - "Statistical=0.787, p=0.000\n", - "ISR-Commercial service imports (current US$)\n", - "Statistical=0.892, p=0.004\n", - "ISR-Completeness of birth registration (%)\n", - "Statistical=0.805, p=0.000\n", - "ISR-Consumer price index (2010 = 100)\n", - "Statistical=0.957, p=0.223\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.797, p=0.000\n", - "ISR-Crop production index (2014-2016 = 100)\n", - "Statistical=0.817, p=0.000\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ISR-Current account balance (% of GDP)\n", - "Statistical=0.911, p=0.012\n", - "ISR-Current account balance (BoP, current US$)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Current health expenditure (% of GDP)\n", - "Statistical=0.898, p=0.005\n", - "ISR-Current health expenditure per capita (current US$)\n", - "Statistical=0.898, p=0.005\n", - "ISR-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.881, p=0.002\n", - "ISR-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.822, p=0.000\n", - "ISR-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.865, p=0.001\n", - "ISR-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.923, p=0.025\n", - "ISR-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.952, p=0.167\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.898, p=0.005\n", - "ISR-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.818, p=0.000\n", - "ISR-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.780, p=0.000\n", - "ISR-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.888, p=0.003\n", - "ISR-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.815, p=0.000\n", - "ISR-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.815, p=0.000\n", - "ISR-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.950, p=0.141\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Electric power consumption (kWh per capita)\n", - "Statistical=0.906, p=0.009\n", - "ISR-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.921, p=0.022\n", - "ISR-Electricity production from coal sources (% of total)\n", - "Statistical=0.906, p=0.009\n", - "ISR-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.916, p=0.017\n", - "ISR-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.966, p=0.399\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Electricity production from oil sources (% of total)\n", - "Statistical=0.913, p=0.013\n", - "ISR-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.785, p=0.000\n", - "ISR-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.844, p=0.000\n", - "ISR-Energy related methane emissions (% of total)\n", - "Statistical=0.871, p=0.001\n", - "ISR-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.723, p=0.000\n", - "ISR-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.955, p=0.195\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Export unit value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Export value index (2000 = 100)\n", - "Statistical=0.808, p=0.000\n", - "ISR-Export volume index (2000 = 100)\n", - "Statistical=0.825, p=0.000\n", - "ISR-Exports of goods and services (% of GDP)\n", - "Statistical=0.743, p=0.000\n", - "ISR-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.944, p=0.097\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Exports of goods and services (current US$)\n", - "Statistical=0.951, p=0.151\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-External balance on goods and services (% of GDP)\n", - "Statistical=0.932, p=0.046\n", - "ISR-External balance on goods and services (current US$)\n", - "Statistical=0.878, p=0.002\n", - "ISR-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.824, p=0.000\n", - "ISR-Final consumption expenditure (% of GDP)\n", - "Statistical=0.832, p=0.000\n", - "ISR-Final consumption expenditure (current US$)\n", - "Statistical=0.877, p=0.002\n", - "ISR-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.897, p=0.005\n", - "ISR-Firms offering formal training (% of firms)\n", - "Statistical=0.904, p=0.008\n", - "ISR-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.906, p=0.009\n", - "ISR-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.782, p=0.000\n", - "ISR-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.783, p=0.000\n", - "ISR-Fixed broadband subscriptions\n", - "Statistical=0.884, p=0.002\n", - "ISR-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Fixed telephone subscriptions\n", - "Statistical=0.920, p=0.021\n", - "ISR-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.834, p=0.000\n", - "ISR-Food exports (% of merchandise exports)\n", - "Statistical=0.901, p=0.007\n", - "ISR-Food imports (% of merchandise imports)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Food production index (2014-2016 = 100)\n", - "Statistical=0.925, p=0.029\n", - "ISR-Forest area (% of land area)\n", - "Statistical=0.921, p=0.022\n", - "ISR-Forest area (sq. km)\n", - "Statistical=0.933, p=0.048\n", - "ISR-Forest rents (% of GDP)\n", - "Statistical=0.900, p=0.006\n", - "ISR-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.758, p=0.000\n", - "ISR-Fuel exports (% of merchandise exports)\n", - "Statistical=0.791, p=0.000\n", - "ISR-Fuel imports (% of merchandise imports)\n", - "Statistical=0.723, p=0.000\n", - "ISR-GDP (current US$)\n", - "Statistical=0.962, p=0.320\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-GDP deflator (base year varies by country)\n", - "Statistical=0.948, p=0.123\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.974, p=0.605\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-GDP growth (annual %)\n", - "Statistical=0.962, p=0.312\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-GDP per capita (current US$)\n", - "Statistical=0.924, p=0.027\n", - "ISR-GDP per capita growth (annual %)\n", - "Statistical=0.923, p=0.025\n", - "ISR-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.805, p=0.000\n", - "ISR-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.799, p=0.000\n", - "ISR-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-GNI (current US$)\n", - "Statistical=0.872, p=0.001\n", - "ISR-GNI growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-GNI per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.962, p=0.304\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-General government final consumption expenditure (current US$)\n", - "Statistical=0.905, p=0.008\n", - "ISR-Gini index\n", - "Statistical=0.921, p=0.023\n", - "ISR-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Goods imports (BoP, current US$)\n", - "Statistical=0.943, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Grants and other revenue (% of revenue)\n", - "Statistical=0.814, p=0.000\n", - "ISR-Gross capital formation (% of GDP)\n", - "Statistical=0.890, p=0.003\n", - "ISR-Gross capital formation (current US$)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Gross domestic savings (% of GDP)\n", - "Statistical=0.934, p=0.049\n", - "ISR-Gross domestic savings (current US$)\n", - "Statistical=0.925, p=0.028\n", - "ISR-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Gross national expenditure (current US$)\n", - "Statistical=0.703, p=0.000\n", - "ISR-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.932, p=0.044\n", - "ISR-Gross savings (% of GDP)\n", - "Statistical=0.928, p=0.033\n", - "ISR-Gross savings (current US$)\n", - "Statistical=0.877, p=0.002\n", - "ISR-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.820, p=0.000\n", - "ISR-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-High-technology exports (% of manufactured exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-High-technology exports (current US$)\n", - "Statistical=0.892, p=0.004\n", - "ISR-Hospital beds (per 1,000 people)\n", - "Statistical=0.924, p=0.027\n", - "ISR-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.897, p=0.005\n", - "ISR-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.794, p=0.000\n", - "ISR-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.794, p=0.000\n", - "ISR-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.794, p=0.000\n", - "ISR-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.923, p=0.025\n", - "ISR-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.888, p=0.003\n", - "ISR-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.914, p=0.015\n", - "ISR-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.864, p=0.001\n", - "ISR-ICT goods exports (% of total goods exports)\n", - "Statistical=0.893, p=0.004\n", - "ISR-ICT goods imports (% total goods imports)\n", - "Statistical=0.918, p=0.018\n", - "ISR-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.900, p=0.006\n", - "ISR-ICT service exports (BoP, current US$)\n", - "Statistical=0.795, p=0.000\n", - "ISR-Import unit value index (2000 = 100)\n", - "Statistical=0.753, p=0.000\n", - "ISR-Import value index (2000 = 100)\n", - "Statistical=0.913, p=0.013\n", - "ISR-Import volume index (2000 = 100)\n", - "Statistical=0.917, p=0.017\n", - "ISR-Imports of goods and services (% of GDP)\n", - "Statistical=0.956, p=0.212\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.907, p=0.009\n", - "ISR-Imports of goods and services (current US$)\n", - "Statistical=0.554, p=0.000\n", - "ISR-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "ISR-Income share held by highest 10%\n", - "Statistical=0.949, p=0.133\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Income share held by highest 20%\n", - "Statistical=0.950, p=0.146\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Income share held by lowest 10%\n", - "Statistical=0.931, p=0.042\n", - "ISR-Income share held by lowest 20%\n", - "Statistical=0.931, p=0.042\n", - "ISR-Income share held by second 20%\n", - "Statistical=0.852, p=0.000\n", - "ISR-Income share held by third 20%\n", - "Statistical=0.926, p=0.030\n", - "ISR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.830, p=0.000\n", - "ISR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.786, p=0.000\n", - "ISR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.734, p=0.000\n", - "ISR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.867, p=0.001\n", - "ISR-Individuals using the Internet (% of population)\n", - "Statistical=0.815, p=0.000\n", - "ISR-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.808, p=0.000\n", - "ISR-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.415, p=0.000\n", - "ISR-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.651, p=0.000\n", - "ISR-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.654, p=0.000\n", - "ISR-Intentional homicides (per 100,000 people)\n", - "Statistical=0.653, p=0.000\n", - "ISR-Interest payments (% of revenue)\n", - "Statistical=0.816, p=0.000\n", - "ISR-International migrant stock (% of population)\n", - "Statistical=0.644, p=0.000\n", - "ISR-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.847, p=0.000\n", - "ISR-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.721, p=0.000\n", - "ISR-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.688, p=0.000\n", - "ISR-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.714, p=0.000\n", - "ISR-Land area (sq. km)\n", - "Statistical=0.671, p=0.000\n", - "ISR-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.710, p=0.000\n", - "ISR-Land under cereal production (hectares)\n", - "Statistical=0.664, p=0.000\n", - "ISR-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.818, p=0.000\n", - "ISR-Lifetime risk of maternal death (%)\n", - "Statistical=0.828, p=0.000\n", - "ISR-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.911, p=0.012\n", - "ISR-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.945, p=0.101\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Livestock production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.896, p=0.005\n", - "ISR-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.860, p=0.001\n", - "ISR-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.899, p=0.006\n", - "ISR-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Low-birthweight babies (% of births)\n", - "Statistical=0.935, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Lower secondary school starting age (years)\n", - "Statistical=0.892, p=0.004\n", - "ISR-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.882, p=0.002\n", - "ISR-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.884, p=0.002\n", - "ISR-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.850, p=0.000\n", - "ISR-Marine protected areas (% of territorial waters)\n", - "Statistical=0.848, p=0.000\n", - "ISR-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.847, p=0.000\n", - "ISR-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.861, p=0.001\n", - "ISR-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.865, p=0.001\n", - "ISR-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.857, p=0.001\n", - "ISR-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.933, p=0.049\n", - "ISR-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Merchandise exports (current US$)\n", - "Statistical=0.981, p=0.838\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.981, p=0.828\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.864, p=0.001\n", - "ISR-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.874, p=0.001\n", - "ISR-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.955, p=0.202\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.954, p=0.191\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.952, p=0.169\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.960, p=0.278\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.781, p=0.000\n", - "ISR-Merchandise imports (current US$)\n", - "Statistical=0.803, p=0.000\n", - "ISR-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.746, p=0.000\n", - "ISR-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.963, p=0.325\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.863, p=0.001\n", - "ISR-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.931, p=0.043\n", - "ISR-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.803, p=0.000\n", - "ISR-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.874, p=0.001\n", - "ISR-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.857, p=0.001\n", - "ISR-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.951, p=0.158\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.893, p=0.004\n", - "ISR-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Merchandise trade (% of GDP)\n", - "Statistical=0.976, p=0.683\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Methane emissions (% change from 1990)\n", - "Statistical=0.930, p=0.038\n", - "ISR-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.930, p=0.038\n", - "ISR-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.918, p=0.018\n", - "ISR-Military expenditure (% of GDP)\n", - "Statistical=0.913, p=0.014\n", - "ISR-Military expenditure (% of general government expenditure)\n", - "Statistical=0.931, p=0.043\n", - "ISR-Military expenditure (current USD)\n", - "Statistical=0.892, p=0.004\n", - "ISR-Mineral rents (% of GDP)\n", - "Statistical=0.898, p=0.006\n", - "ISR-Mobile cellular subscriptions\n", - "Statistical=0.930, p=0.040\n", - "ISR-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.773, p=0.000\n", - "ISR-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.926, p=0.031\n", - "ISR-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.764, p=0.000\n", - "ISR-Natural gas rents (% of GDP)\n", - "Statistical=0.962, p=0.307\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.894, p=0.004\n", - "ISR-Net capital account (BoP, current US$)\n", - "Statistical=0.969, p=0.473\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.922, p=0.024\n", - "ISR-Net financial account (BoP, current US$)\n", - "Statistical=0.917, p=0.018\n", - "ISR-Net migration\n", - "Statistical=0.953, p=0.176\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Net primary income (BoP, current US$)\n", - "Statistical=0.953, p=0.176\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.948, p=0.128\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Net secondary income (BoP, current US$)\n", - "Statistical=0.895, p=0.005\n", - "ISR-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Net trade in goods (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Net trade in goods and services (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-New businesses registered (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.825, p=0.000\n", - "ISR-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.798, p=0.000\n", - "ISR-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.874, p=0.001\n", - "ISR-Number of deaths ages 10-14 years\n", - "Statistical=0.933, p=0.049\n", - "ISR-Number of deaths ages 15-19 years\n", - "Statistical=0.902, p=0.007\n", - "ISR-Number of deaths ages 20-24 years\n", - "Statistical=0.960, p=0.274\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Number of deaths ages 5-9 years\n", - "Statistical=0.897, p=0.005\n", - "ISR-Number of infant deaths\n", - "Statistical=0.955, p=0.206\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Number of maternal deaths\n", - "Statistical=0.855, p=0.001\n", - "ISR-Number of neonatal deaths\n", - "Statistical=0.885, p=0.003\n", - "ISR-Number of under-five deaths\n", - "Statistical=0.872, p=0.001\n", - "ISR-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.848, p=0.000\n", - "ISR-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.860, p=0.001\n", - "ISR-Oil rents (% of GDP)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.722, p=0.000\n", - "ISR-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.889, p=0.003\n", - "ISR-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.881, p=0.002\n", - "ISR-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.909, p=0.010\n", - "ISR-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.897, p=0.005\n", - "ISR-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.897, p=0.005\n", - "ISR-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.906, p=0.009\n", - "ISR-People using at least basic drinking water services (% of population)\n", - "Statistical=0.845, p=0.000\n", - "ISR-People using at least basic sanitation services (% of population)\n", - "Statistical=0.902, p=0.007\n", - "ISR-People using safely managed sanitation services (% of population)\n", - "Statistical=0.902, p=0.007\n", - "ISR-Permanent cropland (% of land area)\n", - "Statistical=0.889, p=0.003\n", - "ISR-Physicians (per 1,000 people)\n", - "Statistical=0.896, p=0.005\n", - "ISR-Population ages 0-14 (% of total population)\n", - "Statistical=0.896, p=0.005\n", - "ISR-Population ages 15-64 (% of total population)\n", - "Statistical=0.918, p=0.018\n", - "ISR-Population ages 65 and above (% of total population)\n", - "Statistical=0.825, p=0.000\n", - "ISR-Population density (people per sq. km of land area)\n", - "Statistical=0.924, p=0.027\n", - "ISR-Population growth (annual %)\n", - "Statistical=0.896, p=0.005\n", - "ISR-Population in largest city\n", - "Statistical=0.884, p=0.003\n", - "ISR-Population in the largest city (% of urban population)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.852, p=0.000\n", - "ISR-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.839, p=0.000\n", - "ISR-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.897, p=0.005\n", - "ISR-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.881, p=0.002\n", - "ISR-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.906, p=0.009\n", - "ISR-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.891, p=0.004\n", - "ISR-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.891, p=0.004\n", - "ISR-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.943, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.891, p=0.004\n", - "ISR-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.851, p=0.000\n", - "ISR-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.885, p=0.003\n", - "ISR-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.885, p=0.003\n", - "ISR-Prevalence of undernourishment (% of population)\n", - "Statistical=0.955, p=0.200\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.883, p=0.002\n", - "ISR-Primary income payments (BoP, current US$)\n", - "Statistical=0.810, p=0.000\n", - "ISR-Primary income receipts (BoP, current US$)\n", - "Statistical=0.885, p=0.003\n", - "ISR-Primary school starting age (years)\n", - "Statistical=0.882, p=0.002\n", - "ISR-Private credit bureau coverage (% of adults)\n", - "Statistical=0.821, p=0.000\n", - "ISR-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.891, p=0.004\n", - "ISR-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.876, p=0.002\n", - "ISR-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.904, p=0.008\n", - "ISR-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.841, p=0.000\n", - "ISR-Procedures to build a warehouse (number)\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Procedures to register property (number)\n", - "Statistical=0.925, p=0.028\n", - "ISR-Profit tax (% of commercial profits)\n", - "Statistical=0.925, p=0.028\n", - "ISR-Progression to secondary school (%)\n", - "Statistical=0.960, p=0.269\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.902, p=0.007\n", - "ISR-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.949, p=0.134\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.892, p=0.004\n", - "ISR-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.924, p=0.027\n", - "ISR-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.892, p=0.004\n", - "ISR-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.830, p=0.000\n", - "ISR-Public credit registry coverage (% of adults)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.718, p=0.000\n", - "ISR-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.822, p=0.000\n", - "ISR-Rail lines (total route-km)\n", - "Statistical=0.934, p=0.050\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.890, p=0.004\n", - "ISR-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.745, p=0.000\n", - "ISR-Refugee population by country or territory of asylum\n", - "Statistical=0.903, p=0.007\n", - "ISR-Refugee population by country or territory of origin\n", - "Statistical=0.928, p=0.033\n", - "ISR-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.886, p=0.003\n", - "ISR-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.886, p=0.003\n", - "ISR-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.944, p=0.099\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Research and development expenditure (% of GDP)\n", - "Statistical=0.883, p=0.002\n", - "ISR-Researchers in R&D (per million people)\n", - "Statistical=0.894, p=0.004\n", - "ISR-Reserves and related items (BoP, current US$)\n", - "Statistical=0.922, p=0.024\n", - "ISR-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.902, p=0.007\n", - "ISR-Rural land area (sq. km)\n", - "Statistical=0.847, p=0.000\n", - "ISR-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.879, p=0.002\n", - "ISR-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.966, p=0.406\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Rural population\n", - "Statistical=0.921, p=0.022\n", - "ISR-Rural population (% of total population)\n", - "Statistical=0.921, p=0.022\n", - "ISR-Rural population growth (annual %)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.877, p=0.002\n", - "ISR-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Scientific and technical journal articles\n", - "Statistical=0.932, p=0.044\n", - "ISR-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Secure Internet servers\n", - "Statistical=0.892, p=0.004\n", - "ISR-Secure Internet servers (per 1 million people)\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Service exports (BoP, current US$)\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Service imports (BoP, current US$)\n", - "Statistical=0.949, p=0.133\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Sex ratio at birth (male births per female births)\n", - "Statistical=0.891, p=0.004\n", - "ISR-Social contributions (% of revenue)\n", - "Statistical=0.881, p=0.002\n", - "ISR-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.897, p=0.005\n", - "ISR-Start-up procedures to register a business (number)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.879, p=0.002\n", - "ISR-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.890, p=0.003\n", - "ISR-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.890, p=0.003\n", - "ISR-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.899, p=0.006\n", - "ISR-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.839, p=0.000\n", - "ISR-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.839, p=0.000\n", - "ISR-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.695, p=0.000\n", - "ISR-Surface area (sq. km)\n", - "Statistical=0.732, p=0.000\n", - "ISR-Tax payments (number)\n", - "Statistical=0.737, p=0.000\n", - "ISR-Tax revenue (% of GDP)\n", - "Statistical=0.969, p=0.474\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Taxes less subsidies on products (current US$)\n", - "Statistical=0.956, p=0.207\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Taxes on goods and services (% of revenue)\n", - "Statistical=0.956, p=0.207\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.893, p=0.004\n", - "ISR-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.963, p=0.336\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.958, p=0.240\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Time required to build a warehouse (days)\n", - "Statistical=0.956, p=0.207\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Time required to enforce a contract (days)\n", - "Statistical=0.905, p=0.008\n", - "ISR-Time required to get electricity (days)\n", - "Statistical=0.951, p=0.155\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Time required to register property (days)\n", - "Statistical=0.906, p=0.009\n", - "ISR-Time required to start a business (days)\n", - "Statistical=0.666, p=0.000\n", - "ISR-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.675, p=0.000\n", - "ISR-Time to obtain an electrical connection (days)\n", - "Statistical=0.675, p=0.000\n", - "ISR-Time to prepare and pay taxes (hours)\n", - "Statistical=0.674, p=0.000\n", - "ISR-Time to resolve insolvency (years)\n", - "Statistical=0.670, p=0.000\n", - "ISR-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.649, p=0.000\n", - "ISR-Total fisheries production (metric tons)\n", - "Statistical=0.635, p=0.000\n", - "ISR-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.659, p=0.000\n", - "ISR-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.670, p=0.000\n", - "ISR-Total natural resources rents (% of GDP)\n", - "Statistical=0.915, p=0.015\n", - "ISR-Total reserves (includes gold, current US$)\n", - "Statistical=0.843, p=0.000\n", - "ISR-Total reserves in months of imports\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Total reserves minus gold (current US$)\n", - "Statistical=0.844, p=0.000\n", - "ISR-Total tax and contribution rate (% of profit)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Trade (% of GDP)\n", - "Statistical=0.881, p=0.002\n", - "ISR-Trade in services (% of GDP)\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Transport services (% of commercial service exports)\n", - "Statistical=0.848, p=0.000\n", - "ISR-Transport services (% of commercial service imports)\n", - "Statistical=0.845, p=0.000\n", - "ISR-Transport services (% of service exports, BoP)\n", - "Statistical=0.847, p=0.000\n", - "ISR-Transport services (% of service imports, BoP)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Travel services (% of commercial service exports)\n", - "Statistical=0.929, p=0.037\n", - "ISR-Travel services (% of commercial service imports)\n", - "Statistical=0.957, p=0.224\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Travel services (% of service exports, BoP)\n", - "Statistical=0.964, p=0.362\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Travel services (% of service imports, BoP)\n", - "Statistical=0.964, p=0.362\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.924, p=0.027\n", - "ISR-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.912, p=0.013\n", - "ISR-UHC service coverage index\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.866, p=0.001\n", - "ISR-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.864, p=0.001\n", - "ISR-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Urban land area (sq. km)\n", - "Statistical=0.955, p=0.194\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.687, p=0.000\n", - "ISR-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.847, p=0.000\n", - "ISR-Urban population\n", - "Statistical=0.948, p=0.125\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Urban population (% of total population)\n", - "Statistical=0.953, p=0.177\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=0.858, p=0.001\n", - "ISR-GDP (current US$)+2\n", - "Statistical=0.969, p=0.471\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-GDP (current US$)+3\n", - "Statistical=0.980, p=0.800\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-GDP (current US$)+5\n", - "Statistical=0.898, p=0.006\n", - "ISR-GDP (current US$)+8\n", - "Statistical=0.956, p=0.207\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-GDP (current US$)+13\n", - "Statistical=0.916, p=0.016\n", - "ISR-GDP (current US$)+21\n", - "Statistical=0.916, p=0.016\n", - "ISR-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.913, p=0.014\n", - "ISR-Deposit interest rate (%)\n", - "Statistical=0.841, p=0.000\n", - "ISR-Other taxes (% of revenue)\n", - "Statistical=0.881, p=0.002\n", - "ISR-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.830, p=0.000\n", - "ISR-Taxes on international trade (% of revenue)\n", - "Statistical=0.830, p=0.000\n", - "ISR-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.827, p=0.000\n", - "ISR-Broad money (% of GDP)\n", - "Statistical=0.898, p=0.005\n", - "ISR-Broad money growth (annual %)\n", - "Statistical=0.956, p=0.215\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Broad money to total reserves ratio\n", - "Statistical=0.907, p=0.010\n", - "ISR-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.959, p=0.254\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.917, p=0.017\n", - "ISR-External health expenditure (% of current health expenditure)\n", - "Statistical=0.969, p=0.462\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-External health expenditure per capita (current US$)\n", - "Statistical=0.307, p=0.000\n", - "ISR-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.893, p=0.004\n", - "ISR-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.917, p=0.017\n", - "ISR-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.953, p=0.178\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.910, p=0.011\n", - "ISR-People practicing open defecation (% of population)\n", - "Statistical=0.963, p=0.330\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Taxes on exports (% of tax revenue)\n", - "Statistical=0.871, p=0.001\n", - "ISR-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.952, p=0.169\n", - "Data is NORMAL ( H0 not denied )\n", - "ISR-Country\n", - "Statistical=0.801, p=0.000\n", - "ISR-Year\n", - "Statistical=0.905, p=0.008\n", - "ISR-Continent\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Adjusted net national income (current US$)\n", - "Statistical=0.815, p=0.000\n", - "TUR-Adjusted net national income per capita (current US$)\n", - "Statistical=0.799, p=0.000\n", - "TUR-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.807, p=0.000\n", - "TUR-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.483, p=0.000\n", - "TUR-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.504, p=0.000\n", - "TUR-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.548, p=0.000\n", - "TUR-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.617, p=0.000\n", - "TUR-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.524, p=0.000\n", - "TUR-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.550, p=0.000\n", - "TUR-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.609, p=0.000\n", - "TUR-Age dependency ratio (% of working-age population)\n", - "Statistical=0.642, p=0.000\n", - "TUR-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.628, p=0.000\n", - "TUR-Agricultural land (% of land area)\n", - "Statistical=0.636, p=0.000\n", - "TUR-Agricultural land (sq. km)\n", - "Statistical=0.576, p=0.000\n", - "TUR-Agricultural methane emissions (% of total)\n", - "Statistical=0.968, p=0.439\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.897, p=0.005\n", - "TUR-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.821, p=0.000\n", - "TUR-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.857, p=0.001\n", - "TUR-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Aquaculture production (metric tons)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Arable land (% of land area)\n", - "Statistical=0.875, p=0.002\n", - "TUR-Arable land (hectares per person)\n", - "Statistical=0.929, p=0.036\n", - "TUR-Arable land (hectares)\n", - "Statistical=0.856, p=0.001\n", - "TUR-Armed forces personnel (% of total labor force)\n", - "Statistical=0.929, p=0.037\n", - "TUR-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.856, p=0.001\n", - "TUR-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.904, p=0.008\n", - "TUR-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.885, p=0.003\n", - "TUR-Average precipitation in depth (mm per year)\n", - "Statistical=0.969, p=0.468\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Average time to clear exports through customs (days)\n", - "Statistical=0.850, p=0.000\n", - "TUR-Births attended by skilled health staff (% of total)\n", - "Statistical=0.897, p=0.005\n", - "TUR-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.849, p=0.000\n", - "TUR-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.981, p=0.827\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.902, p=0.007\n", - "TUR-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.962, p=0.315\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-CO2 emissions (kt)\n", - "Statistical=0.843, p=0.000\n", - "TUR-CO2 emissions (metric tons per capita)\n", - "Statistical=0.803, p=0.000\n", - "TUR-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.950, p=0.141\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.956, p=0.216\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.868, p=0.001\n", - "TUR-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.805, p=0.000\n", - "TUR-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.913, p=0.014\n", - "TUR-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.788, p=0.000\n", - "TUR-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.823, p=0.000\n", - "TUR-Capture fisheries production (metric tons)\n", - "Statistical=0.802, p=0.000\n", - "TUR-Cereal production (metric tons)\n", - "Statistical=0.909, p=0.011\n", - "TUR-Cereal yield (kg per hectare)\n", - "Statistical=0.966, p=0.404\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Changes in inventories (current US$)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.775, p=0.000\n", - "TUR-Children out of school (% of primary school age)\n", - "Statistical=0.944, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Coal rents (% of GDP)\n", - "Statistical=0.944, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.779, p=0.000\n", - "TUR-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.820, p=0.000\n", - "TUR-Commercial service exports (current US$)\n", - "Statistical=0.793, p=0.000\n", - "TUR-Commercial service imports (current US$)\n", - "Statistical=0.921, p=0.022\n", - "TUR-Completeness of birth registration (%)\n", - "Statistical=0.787, p=0.000\n", - "TUR-Consumer price index (2010 = 100)\n", - "Statistical=0.882, p=0.002\n", - "TUR-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.823, p=0.000\n", - "TUR-Crop production index (2014-2016 = 100)\n", - "Statistical=0.877, p=0.002\n", - "TUR-Current account balance (% of GDP)\n", - "Statistical=0.860, p=0.001\n", - "TUR-Current account balance (BoP, current US$)\n", - "Statistical=0.960, p=0.271\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Current health expenditure (% of GDP)\n", - "Statistical=0.890, p=0.003\n", - "TUR-Current health expenditure per capita (current US$)\n", - "Statistical=0.890, p=0.003\n", - "TUR-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.856, p=0.001\n", - "TUR-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.929, p=0.037\n", - "TUR-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.906, p=0.009\n", - "TUR-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.731, p=0.000\n", - "TUR-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.804, p=0.000\n", - "TUR-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.817, p=0.000\n", - "TUR-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.875, p=0.002\n", - "TUR-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.765, p=0.000\n", - "TUR-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.903, p=0.007\n", - "TUR-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.891, p=0.004\n", - "TUR-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.891, p=0.004\n", - "TUR-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.910, p=0.011\n", - "TUR-Electric power consumption (kWh per capita)\n", - "Statistical=0.842, p=0.000\n", - "TUR-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.923, p=0.025\n", - "TUR-Electricity production from coal sources (% of total)\n", - "Statistical=0.842, p=0.000\n", - "TUR-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.927, p=0.032\n", - "TUR-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.894, p=0.004\n", - "TUR-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.848, p=0.000\n", - "TUR-Electricity production from oil sources (% of total)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.736, p=0.000\n", - "TUR-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.801, p=0.000\n", - "TUR-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.857, p=0.001\n", - "TUR-Energy related methane emissions (% of total)\n", - "Statistical=0.885, p=0.003\n", - "TUR-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.837, p=0.000\n", - "TUR-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Export unit value index (2000 = 100)\n", - "Statistical=0.851, p=0.000\n", - "TUR-Export value index (2000 = 100)\n", - "Statistical=0.804, p=0.000\n", - "TUR-Export volume index (2000 = 100)\n", - "Statistical=0.905, p=0.008\n", - "TUR-Exports of goods and services (% of GDP)\n", - "Statistical=0.873, p=0.001\n", - "TUR-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.956, p=0.207\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Exports of goods and services (current US$)\n", - "Statistical=0.797, p=0.000\n", - "TUR-External balance on goods and services (% of GDP)\n", - "Statistical=0.824, p=0.000\n", - "TUR-External balance on goods and services (current US$)\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.892, p=0.004\n", - "TUR-Final consumption expenditure (% of GDP)\n", - "Statistical=0.891, p=0.004\n", - "TUR-Final consumption expenditure (current US$)\n", - "Statistical=0.908, p=0.010\n", - "TUR-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.917, p=0.017\n", - "TUR-Firms offering formal training (% of firms)\n", - "Statistical=0.924, p=0.027\n", - "TUR-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.916, p=0.016\n", - "TUR-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.858, p=0.001\n", - "TUR-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.859, p=0.001\n", - "TUR-Fixed broadband subscriptions\n", - "Statistical=0.866, p=0.001\n", - "TUR-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.906, p=0.009\n", - "TUR-Fixed telephone subscriptions\n", - "Statistical=0.871, p=0.001\n", - "TUR-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.899, p=0.006\n", - "TUR-Food exports (% of merchandise exports)\n", - "Statistical=0.957, p=0.232\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Food imports (% of merchandise imports)\n", - "Statistical=0.916, p=0.016\n", - "TUR-Food production index (2014-2016 = 100)\n", - "Statistical=0.878, p=0.002\n", - "TUR-Forest area (% of land area)\n", - "Statistical=0.944, p=0.099\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Forest area (sq. km)\n", - "Statistical=0.961, p=0.296\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Forest rents (% of GDP)\n", - "Statistical=0.947, p=0.115\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.651, p=0.000\n", - "TUR-Fuel exports (% of merchandise exports)\n", - "Statistical=0.871, p=0.001\n", - "TUR-Fuel imports (% of merchandise imports)\n", - "Statistical=0.505, p=0.000\n", - "TUR-GDP (current US$)\n", - "Statistical=0.972, p=0.548\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-GDP deflator (base year varies by country)\n", - "Statistical=0.914, p=0.014\n", - "TUR-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-GDP growth (annual %)\n", - "Statistical=0.982, p=0.848\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-GDP per capita (current US$)\n", - "Statistical=0.805, p=0.000\n", - "TUR-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.962, p=0.313\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.886, p=0.003\n", - "TUR-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.924, p=0.027\n", - "TUR-GNI (current US$)\n", - "Statistical=0.915, p=0.015\n", - "TUR-GNI growth (annual %)\n", - "Statistical=0.853, p=0.000\n", - "TUR-GNI per capita growth (annual %)\n", - "Statistical=0.894, p=0.004\n", - "TUR-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.930, p=0.039\n", - "TUR-General government final consumption expenditure (current US$)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Statistical=0.978, p=0.749\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Gini index\n", - "Statistical=0.881, p=0.002\n", - "TUR-Goods exports (BoP, current US$)\n", - "Statistical=0.878, p=0.002\n", - "TUR-Goods imports (BoP, current US$)\n", - "Statistical=0.892, p=0.004\n", - "TUR-Grants and other revenue (% of revenue)\n", - "Statistical=0.793, p=0.000\n", - "TUR-Gross capital formation (% of GDP)\n", - "Statistical=0.908, p=0.010\n", - "TUR-Gross capital formation (current US$)\n", - "Statistical=0.900, p=0.006\n", - "TUR-Gross domestic savings (% of GDP)\n", - "Statistical=0.764, p=0.000\n", - "TUR-Gross domestic savings (current US$)\n", - "Statistical=0.863, p=0.001\n", - "TUR-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.757, p=0.000\n", - "TUR-Gross fixed capital formation (current US$)\n", - "Statistical=0.556, p=0.000\n", - "TUR-Gross national expenditure (% of GDP)\n", - "Statistical=0.556, p=0.000\n", - "TUR-Gross national expenditure (current US$)\n", - "Statistical=0.585, p=0.000\n", - "TUR-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.773, p=0.000\n", - "TUR-Gross savings (% of GDP)\n", - "Statistical=0.862, p=0.001\n", - "TUR-Gross savings (current US$)\n", - "Statistical=0.888, p=0.003\n", - "TUR-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.828, p=0.000\n", - "TUR-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.834, p=0.000\n", - "TUR-High-technology exports (% of manufactured exports)\n", - "Statistical=0.867, p=0.001\n", - "TUR-High-technology exports (current US$)\n", - "Statistical=0.930, p=0.039\n", - "TUR-Hospital beds (per 1,000 people)\n", - "Statistical=0.850, p=0.000\n", - "TUR-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.899, p=0.006\n", - "TUR-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.814, p=0.000\n", - "TUR-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.814, p=0.000\n", - "TUR-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.814, p=0.000\n", - "TUR-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=0.391, p=0.000\n", - "TUR-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=0.391, p=0.000\n", - "TUR-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.924, p=0.028\n", - "TUR-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.973, p=0.581\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.903, p=0.007\n", - "TUR-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.645, p=0.000\n", - "TUR-ICT goods exports (% of total goods exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-ICT goods imports (% total goods imports)\n", - "Statistical=0.724, p=0.000\n", - "TUR-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-ICT service exports (BoP, current US$)\n", - "Statistical=0.849, p=0.000\n", - "TUR-Import unit value index (2000 = 100)\n", - "Statistical=0.815, p=0.000\n", - "TUR-Import value index (2000 = 100)\n", - "Statistical=0.735, p=0.000\n", - "TUR-Import volume index (2000 = 100)\n", - "Statistical=0.755, p=0.000\n", - "TUR-Imports of goods and services (% of GDP)\n", - "Statistical=0.881, p=0.002\n", - "TUR-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.868, p=0.001\n", - "TUR-Imports of goods and services (current US$)\n", - "Statistical=0.817, p=0.000\n", - "TUR-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=0.391, p=0.000\n", - "TUR-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "TUR-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Income share held by lowest 10%\n", - "Statistical=0.706, p=0.000\n", - "TUR-Income share held by lowest 20%\n", - "Statistical=0.824, p=0.000\n", - "TUR-Income share held by second 20%\n", - "Statistical=0.830, p=0.000\n", - "TUR-Income share held by third 20%\n", - "Statistical=0.815, p=0.000\n", - "TUR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.863, p=0.001\n", - "TUR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.830, p=0.000\n", - "TUR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.818, p=0.000\n", - "TUR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.815, p=0.000\n", - "TUR-Individuals using the Internet (% of population)\n", - "Statistical=0.905, p=0.008\n", - "TUR-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.875, p=0.002\n", - "TUR-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.434, p=0.000\n", - "TUR-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.758, p=0.000\n", - "TUR-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.748, p=0.000\n", - "TUR-Intentional homicides (per 100,000 people)\n", - "Statistical=0.754, p=0.000\n", - "TUR-Interest payments (% of revenue)\n", - "Statistical=0.757, p=0.000\n", - "TUR-International migrant stock (% of population)\n", - "Statistical=0.738, p=0.000\n", - "TUR-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.746, p=0.000\n", - "TUR-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.758, p=0.000\n", - "TUR-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.760, p=0.000\n", - "TUR-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.760, p=0.000\n", - "TUR-Land area (sq. km)\n", - "Statistical=0.776, p=0.000\n", - "TUR-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.775, p=0.000\n", - "TUR-Land under cereal production (hectares)\n", - "Statistical=0.776, p=0.000\n", - "TUR-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.880, p=0.002\n", - "TUR-Lifetime risk of maternal death (%)\n", - "Statistical=0.897, p=0.005\n", - "TUR-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.962, p=0.303\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.887, p=0.003\n", - "TUR-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.864, p=0.001\n", - "TUR-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.834, p=0.000\n", - "TUR-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.963, p=0.337\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.702, p=0.000\n", - "TUR-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.690, p=0.000\n", - "TUR-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.897, p=0.005\n", - "TUR-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Low-birthweight babies (% of births)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Lower secondary school starting age (years)\n", - "Statistical=0.916, p=0.016\n", - "TUR-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.864, p=0.001\n", - "TUR-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.933, p=0.048\n", - "TUR-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.895, p=0.005\n", - "TUR-Marine protected areas (% of territorial waters)\n", - "Statistical=0.891, p=0.004\n", - "TUR-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.935, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.900, p=0.006\n", - "TUR-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.911, p=0.012\n", - "TUR-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.955, p=0.194\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.957, p=0.226\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Merchandise exports (current US$)\n", - "Statistical=0.898, p=0.005\n", - "TUR-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.903, p=0.007\n", - "TUR-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.951, p=0.150\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.949, p=0.131\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.880, p=0.002\n", - "TUR-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.888, p=0.003\n", - "TUR-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.907, p=0.009\n", - "TUR-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.906, p=0.009\n", - "TUR-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.896, p=0.005\n", - "TUR-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.896, p=0.005\n", - "TUR-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.852, p=0.000\n", - "TUR-Merchandise imports (current US$)\n", - "Statistical=0.837, p=0.000\n", - "TUR-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.835, p=0.000\n", - "TUR-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.891, p=0.004\n", - "TUR-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.854, p=0.001\n", - "TUR-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.802, p=0.000\n", - "TUR-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.969, p=0.470\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.855, p=0.001\n", - "TUR-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.910, p=0.011\n", - "TUR-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.954, p=0.183\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.891, p=0.004\n", - "TUR-Merchandise trade (% of GDP)\n", - "Statistical=0.972, p=0.543\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Methane emissions (% change from 1990)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.816, p=0.000\n", - "TUR-Military expenditure (% of GDP)\n", - "Statistical=0.877, p=0.002\n", - "TUR-Military expenditure (% of general government expenditure)\n", - "Statistical=0.891, p=0.004\n", - "TUR-Military expenditure (current USD)\n", - "Statistical=0.955, p=0.195\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Mineral rents (% of GDP)\n", - "Statistical=0.666, p=0.000\n", - "TUR-Mobile cellular subscriptions\n", - "Statistical=0.795, p=0.000\n", - "TUR-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.962, p=0.319\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Natural gas rents (% of GDP)\n", - "Statistical=0.878, p=0.002\n", - "TUR-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Net capital account (BoP, current US$)\n", - "Statistical=0.952, p=0.160\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.974, p=0.630\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Net financial account (BoP, current US$)\n", - "Statistical=0.983, p=0.887\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Net migration\n", - "Statistical=0.899, p=0.006\n", - "TUR-Net primary income (BoP, current US$)\n", - "Statistical=0.899, p=0.006\n", - "TUR-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.822, p=0.000\n", - "TUR-Net secondary income (BoP, current US$)\n", - "Statistical=0.868, p=0.001\n", - "TUR-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.699, p=0.000\n", - "TUR-Net trade in goods (BoP, current US$)\n", - "Statistical=0.832, p=0.000\n", - "TUR-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.815, p=0.000\n", - "TUR-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.753, p=0.000\n", - "TUR-New businesses registered (number)\n", - "Statistical=0.760, p=0.000\n", - "TUR-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.820, p=0.000\n", - "TUR-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.823, p=0.000\n", - "TUR-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.931, p=0.041\n", - "TUR-Number of deaths ages 10-14 years\n", - "Statistical=0.892, p=0.004\n", - "TUR-Number of deaths ages 15-19 years\n", - "Statistical=0.827, p=0.000\n", - "TUR-Number of deaths ages 20-24 years\n", - "Statistical=0.981, p=0.814\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Number of deaths ages 5-9 years\n", - "Statistical=0.890, p=0.004\n", - "TUR-Number of infant deaths\n", - "Statistical=0.928, p=0.034\n", - "TUR-Number of maternal deaths\n", - "Statistical=0.859, p=0.001\n", - "TUR-Number of neonatal deaths\n", - "Statistical=0.894, p=0.004\n", - "TUR-Number of under-five deaths\n", - "Statistical=0.858, p=0.001\n", - "TUR-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.953, p=0.178\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.883, p=0.002\n", - "TUR-Oil rents (% of GDP)\n", - "Statistical=0.918, p=0.018\n", - "TUR-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.918, p=0.018\n", - "TUR-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.802, p=0.000\n", - "TUR-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.920, p=0.020\n", - "TUR-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.953, p=0.170\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.891, p=0.004\n", - "TUR-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.891, p=0.004\n", - "TUR-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.821, p=0.000\n", - "TUR-People using at least basic drinking water services (% of population)\n", - "Statistical=0.861, p=0.001\n", - "TUR-People using at least basic sanitation services (% of population)\n", - "Statistical=0.892, p=0.004\n", - "TUR-People using safely managed sanitation services (% of population)\n", - "Statistical=0.893, p=0.004\n", - "TUR-Permanent cropland (% of land area)\n", - "Statistical=0.917, p=0.017\n", - "TUR-Physicians (per 1,000 people)\n", - "Statistical=0.887, p=0.003\n", - "TUR-Population ages 0-14 (% of total population)\n", - "Statistical=0.887, p=0.003\n", - "TUR-Population ages 15-64 (% of total population)\n", - "Statistical=0.839, p=0.000\n", - "TUR-Population ages 65 and above (% of total population)\n", - "Statistical=0.879, p=0.002\n", - "TUR-Population density (people per sq. km of land area)\n", - "Statistical=0.922, p=0.023\n", - "TUR-Population growth (annual %)\n", - "Statistical=0.887, p=0.003\n", - "TUR-Population in largest city\n", - "Statistical=0.831, p=0.000\n", - "TUR-Population in the largest city (% of urban population)\n", - "Statistical=0.927, p=0.033\n", - "TUR-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.858, p=0.001\n", - "TUR-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.836, p=0.000\n", - "TUR-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.891, p=0.004\n", - "TUR-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.830, p=0.000\n", - "TUR-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.821, p=0.000\n", - "TUR-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=0.838, p=0.000\n", - "TUR-Pregnant women receiving prenatal care (%)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.822, p=0.000\n", - "TUR-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.862, p=0.001\n", - "TUR-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Prevalence of current tobacco use (% of adults)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Prevalence of undernourishment (% of population)\n", - "Statistical=0.839, p=0.000\n", - "TUR-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Primary income payments (BoP, current US$)\n", - "Statistical=0.859, p=0.001\n", - "TUR-Primary income receipts (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Primary school starting age (years)\n", - "Statistical=0.831, p=0.000\n", - "TUR-Private credit bureau coverage (% of adults)\n", - "Statistical=0.850, p=0.000\n", - "TUR-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.829, p=0.000\n", - "TUR-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.822, p=0.000\n", - "TUR-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.973, p=0.592\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Procedures to build a warehouse (number)\n", - "Statistical=0.981, p=0.834\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Procedures to register property (number)\n", - "Statistical=0.908, p=0.010\n", - "TUR-Profit tax (% of commercial profits)\n", - "Statistical=0.908, p=0.010\n", - "TUR-Progression to secondary school (%)\n", - "Statistical=0.810, p=0.000\n", - "TUR-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.836, p=0.000\n", - "TUR-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.860, p=0.001\n", - "TUR-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.884, p=0.002\n", - "TUR-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.859, p=0.001\n", - "TUR-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.788, p=0.000\n", - "TUR-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.754, p=0.000\n", - "TUR-Public credit registry coverage (% of adults)\n", - "Statistical=0.493, p=0.000\n", - "TUR-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.570, p=0.000\n", - "TUR-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.898, p=0.006\n", - "TUR-Rail lines (total route-km)\n", - "Statistical=0.967, p=0.412\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.814, p=0.000\n", - "TUR-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.892, p=0.004\n", - "TUR-Refugee population by country or territory of asylum\n", - "Statistical=0.974, p=0.606\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Refugee population by country or territory of origin\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Renewable electricity output (% of total electricity output)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.810, p=0.000\n", - "TUR-Research and development expenditure (% of GDP)\n", - "Statistical=0.853, p=0.000\n", - "TUR-Researchers in R&D (per million people)\n", - "Statistical=0.898, p=0.005\n", - "TUR-Reserves and related items (BoP, current US$)\n", - "Statistical=0.974, p=0.630\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.814, p=0.000\n", - "TUR-Rural land area (sq. km)\n", - "Statistical=0.853, p=0.000\n", - "TUR-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.958, p=0.236\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.965, p=0.382\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Rural population\n", - "Statistical=0.871, p=0.001\n", - "TUR-Rural population (% of total population)\n", - "Statistical=0.871, p=0.001\n", - "TUR-Rural population growth (annual %)\n", - "Statistical=0.798, p=0.000\n", - "TUR-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.854, p=0.001\n", - "TUR-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Scientific and technical journal articles\n", - "Statistical=0.906, p=0.009\n", - "TUR-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.958, p=0.246\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Secure Internet servers\n", - "Statistical=0.976, p=0.689\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Secure Internet servers (per 1 million people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Service exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Service imports (BoP, current US$)\n", - "Statistical=0.820, p=0.000\n", - "TUR-Sex ratio at birth (male births per female births)\n", - "Statistical=0.863, p=0.001\n", - "TUR-Social contributions (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.966, p=0.407\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Start-up procedures to register a business (number)\n", - "Statistical=0.967, p=0.417\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.815, p=0.000\n", - "TUR-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.856, p=0.001\n", - "TUR-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.893, p=0.004\n", - "TUR-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.893, p=0.004\n", - "TUR-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.819, p=0.000\n", - "TUR-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.856, p=0.001\n", - "TUR-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.693, p=0.000\n", - "TUR-Surface area (sq. km)\n", - "Statistical=0.669, p=0.000\n", - "TUR-Tax payments (number)\n", - "Statistical=0.903, p=0.007\n", - "TUR-Tax revenue (% of GDP)\n", - "Statistical=0.975, p=0.633\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Taxes less subsidies on products (current US$)\n", - "Statistical=0.896, p=0.005\n", - "TUR-Taxes on goods and services (% of revenue)\n", - "Statistical=0.896, p=0.005\n", - "TUR-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.829, p=0.000\n", - "TUR-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.876, p=0.002\n", - "TUR-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.888, p=0.003\n", - "TUR-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.973, p=0.598\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Time required to build a warehouse (days)\n", - "Statistical=0.896, p=0.005\n", - "TUR-Time required to enforce a contract (days)\n", - "Statistical=0.860, p=0.001\n", - "TUR-Time required to get electricity (days)\n", - "Statistical=0.960, p=0.277\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Time required to register property (days)\n", - "Statistical=0.829, p=0.000\n", - "TUR-Time required to start a business (days)\n", - "Statistical=0.634, p=0.000\n", - "TUR-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.627, p=0.000\n", - "TUR-Time to obtain an electrical connection (days)\n", - "Statistical=0.650, p=0.000\n", - "TUR-Time to prepare and pay taxes (hours)\n", - "Statistical=0.605, p=0.000\n", - "TUR-Time to resolve insolvency (years)\n", - "Statistical=0.676, p=0.000\n", - "TUR-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.764, p=0.000\n", - "TUR-Total fisheries production (metric tons)\n", - "Statistical=0.769, p=0.000\n", - "TUR-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.707, p=0.000\n", - "TUR-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.740, p=0.000\n", - "TUR-Total natural resources rents (% of GDP)\n", - "Statistical=0.861, p=0.001\n", - "TUR-Total reserves (includes gold, current US$)\n", - "Statistical=0.843, p=0.000\n", - "TUR-Total reserves in months of imports\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Total reserves minus gold (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Total tax and contribution rate (% of profit)\n", - "Statistical=0.867, p=0.001\n", - "TUR-Trade (% of GDP)\n", - "Statistical=0.771, p=0.000\n", - "TUR-Trade in services (% of GDP)\n", - "Statistical=0.851, p=0.000\n", - "TUR-Transport services (% of commercial service exports)\n", - "Statistical=0.908, p=0.010\n", - "TUR-Transport services (% of commercial service imports)\n", - "Statistical=0.849, p=0.000\n", - "TUR-Transport services (% of service exports, BoP)\n", - "Statistical=0.906, p=0.009\n", - "TUR-Transport services (% of service imports, BoP)\n", - "Statistical=0.965, p=0.368\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Travel services (% of commercial service exports)\n", - "Statistical=0.861, p=0.001\n", - "TUR-Travel services (% of commercial service imports)\n", - "Statistical=0.979, p=0.761\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Travel services (% of service exports, BoP)\n", - "Statistical=0.908, p=0.010\n", - "TUR-Travel services (% of service imports, BoP)\n", - "Statistical=0.908, p=0.010\n", - "TUR-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.792, p=0.000\n", - "TUR-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.856, p=0.001\n", - "TUR-UHC service coverage index\n", - "Statistical=0.862, p=0.001\n", - "TUR-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.784, p=0.000\n", - "TUR-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.851, p=0.000\n", - "TUR-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.852, p=0.000\n", - "TUR-Urban land area (sq. km)\n", - "Statistical=0.855, p=0.001\n", - "TUR-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.826, p=0.000\n", - "TUR-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.712, p=0.000\n", - "TUR-Urban population\n", - "Statistical=0.730, p=0.000\n", - "TUR-Urban population (% of total population)\n", - "Statistical=0.894, p=0.004\n", - "TUR-Urban population growth (annual %)\n", - "Statistical=0.762, p=0.000\n", - "TUR-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.762, p=0.000\n", - "TUR-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.799, p=0.000\n", - "TUR-GDP (current US$)+1\n", - "Statistical=0.799, p=0.000\n", - "TUR-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-GDP (current US$)+2\n", - "Statistical=0.831, p=0.000\n", - "TUR-GDP (current US$)+3\n", - "Statistical=0.883, p=0.002\n", - "TUR-GDP (current US$)+5\n", - "Statistical=0.949, p=0.131\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-GDP (current US$)+8\n", - "Statistical=0.971, p=0.519\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-GDP (current US$)+13\n", - "Statistical=0.875, p=0.002\n", - "TUR-GDP (current US$)+21\n", - "Statistical=0.875, p=0.002\n", - "TUR-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.801, p=0.000\n", - "TUR-Deposit interest rate (%)\n", - "Statistical=0.863, p=0.001\n", - "TUR-Other taxes (% of revenue)\n", - "Statistical=0.904, p=0.008\n", - "TUR-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.821, p=0.000\n", - "TUR-Taxes on international trade (% of revenue)\n", - "Statistical=0.819, p=0.000\n", - "TUR-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.804, p=0.000\n", - "TUR-Broad money (% of GDP)\n", - "Statistical=0.972, p=0.546\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Broad money growth (annual %)\n", - "Statistical=0.954, p=0.183\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Broad money to total reserves ratio\n", - "Statistical=0.972, p=0.557\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.953, p=0.171\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.817, p=0.000\n", - "TUR-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "TUR-External health expenditure (% of current health expenditure)\n", - "Statistical=0.848, p=0.000\n", - "TUR-External health expenditure per capita (current US$)\n", - "Statistical=0.204, p=0.000\n", - "TUR-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.839, p=0.000\n", - "TUR-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.840, p=0.000\n", - "TUR-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.804, p=0.000\n", - "TUR-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.770, p=0.000\n", - "TUR-People practicing open defecation (% of population)\n", - "Statistical=0.819, p=0.000\n", - "TUR-Taxes on exports (% of tax revenue)\n", - "Statistical=0.864, p=0.001\n", - "TUR-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.874, p=0.001\n", - "TUR-Country\n", - "Statistical=0.810, p=0.000\n", - "TUR-Year\n", - "Statistical=0.829, p=0.000\n", - "TUR-Continent\n", - "Statistical=0.719, p=0.000\n", - "MAR-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Adjusted net national income (current US$)\n", - "Statistical=0.816, p=0.000\n", - "MAR-Adjusted net national income per capita (current US$)\n", - "Statistical=0.826, p=0.000\n", - "MAR-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.771, p=0.000\n", - "MAR-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.903, p=0.007\n", - "MAR-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.892, p=0.004\n", - "MAR-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.899, p=0.006\n", - "MAR-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Adjusted savings: net national savings (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Age dependency ratio (% of working-age population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Agricultural land (% of land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Agricultural land (sq. km)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Agricultural methane emissions (% of total)\n", - "Statistical=0.867, p=0.001\n", - "MAR-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.839, p=0.000\n", - "MAR-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.853, p=0.000\n", - "MAR-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.975, p=0.645\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.917, p=0.017\n", - "MAR-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.860, p=0.001\n", - "MAR-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.975, p=0.652\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Aquaculture production (metric tons)\n", - "Statistical=0.912, p=0.013\n", - "MAR-Arable land (% of land area)\n", - "Statistical=0.833, p=0.000\n", - "MAR-Arable land (hectares per person)\n", - "Statistical=0.929, p=0.038\n", - "MAR-Arable land (hectares)\n", - "Statistical=0.848, p=0.000\n", - "MAR-Armed forces personnel (% of total labor force)\n", - "Statistical=0.948, p=0.129\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.849, p=0.000\n", - "MAR-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.952, p=0.161\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.900, p=0.006\n", - "MAR-Average precipitation in depth (mm per year)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Average time to clear exports through customs (days)\n", - "Statistical=0.869, p=0.001\n", - "MAR-Births attended by skilled health staff (% of total)\n", - "Statistical=0.896, p=0.005\n", - "MAR-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.865, p=0.001\n", - "MAR-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.925, p=0.029\n", - "MAR-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.877, p=0.002\n", - "MAR-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.967, p=0.425\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-CO2 emissions (kt)\n", - "Statistical=0.954, p=0.187\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-CO2 emissions (metric tons per capita)\n", - "Statistical=0.898, p=0.005\n", - "MAR-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.917, p=0.018\n", - "MAR-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.966, p=0.390\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.862, p=0.001\n", - "MAR-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.867, p=0.001\n", - "MAR-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.911, p=0.012\n", - "MAR-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.972, p=0.546\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.859, p=0.001\n", - "MAR-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.868, p=0.001\n", - "MAR-Capture fisheries production (metric tons)\n", - "Statistical=0.845, p=0.000\n", - "MAR-Cereal production (metric tons)\n", - "Statistical=0.840, p=0.000\n", - "MAR-Cereal yield (kg per hectare)\n", - "Statistical=0.967, p=0.426\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Changes in inventories (current US$)\n", - "Statistical=0.867, p=0.001\n", - "MAR-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.785, p=0.000\n", - "MAR-Children out of school (% of primary school age)\n", - "Statistical=0.855, p=0.001\n", - "MAR-Coal rents (% of GDP)\n", - "Statistical=0.855, p=0.001\n", - "MAR-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.544, p=0.000\n", - "MAR-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.598, p=0.000\n", - "MAR-Commercial service exports (current US$)\n", - "Statistical=0.815, p=0.000\n", - "MAR-Commercial service imports (current US$)\n", - "Statistical=0.941, p=0.081\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Completeness of birth registration (%)\n", - "Statistical=0.814, p=0.000\n", - "MAR-Consumer price index (2010 = 100)\n", - "Statistical=0.948, p=0.128\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.898, p=0.006\n", - "MAR-Crop production index (2014-2016 = 100)\n", - "Statistical=0.844, p=0.000\n", - "MAR-Current account balance (% of GDP)\n", - "Statistical=0.969, p=0.483\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Current account balance (BoP, current US$)\n", - "Statistical=0.969, p=0.481\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Current health expenditure (% of GDP)\n", - "Statistical=0.927, p=0.033\n", - "MAR-Current health expenditure per capita (current US$)\n", - "Statistical=0.927, p=0.033\n", - "MAR-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.916, p=0.017\n", - "MAR-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.880, p=0.002\n", - "MAR-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.920, p=0.021\n", - "MAR-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.976, p=0.692\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.897, p=0.005\n", - "MAR-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.912, p=0.012\n", - "MAR-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.948, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.833, p=0.000\n", - "MAR-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.875, p=0.002\n", - "MAR-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.875, p=0.002\n", - "MAR-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.957, p=0.228\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Electric power consumption (kWh per capita)\n", - "Statistical=0.890, p=0.003\n", - "MAR-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.909, p=0.011\n", - "MAR-Electricity production from coal sources (% of total)\n", - "Statistical=0.890, p=0.003\n", - "MAR-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.924, p=0.027\n", - "MAR-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.787, p=0.000\n", - "MAR-Electricity production from nuclear sources (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Electricity production from oil sources (% of total)\n", - "Statistical=0.845, p=0.000\n", - "MAR-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.789, p=0.000\n", - "MAR-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.699, p=0.000\n", - "MAR-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.905, p=0.008\n", - "MAR-Export unit value index (2000 = 100)\n", - "Statistical=0.922, p=0.024\n", - "MAR-Export value index (2000 = 100)\n", - "Statistical=0.806, p=0.000\n", - "MAR-Export volume index (2000 = 100)\n", - "Statistical=0.800, p=0.000\n", - "MAR-Exports of goods and services (% of GDP)\n", - "Statistical=0.521, p=0.000\n", - "MAR-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.891, p=0.004\n", - "MAR-Exports of goods and services (current US$)\n", - "Statistical=0.899, p=0.006\n", - "MAR-External balance on goods and services (% of GDP)\n", - "Statistical=0.885, p=0.003\n", - "MAR-External balance on goods and services (current US$)\n", - "Statistical=0.962, p=0.306\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.612, p=0.000\n", - "MAR-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.958, p=0.234\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Final consumption expenditure (% of GDP)\n", - "Statistical=0.958, p=0.236\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Final consumption expenditure (current US$)\n", - "Statistical=0.919, p=0.019\n", - "MAR-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.908, p=0.010\n", - "MAR-Firms offering formal training (% of firms)\n", - "Statistical=0.888, p=0.003\n", - "MAR-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.786, p=0.000\n", - "MAR-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.771, p=0.000\n", - "MAR-Fixed broadband subscriptions\n", - "Statistical=0.907, p=0.009\n", - "MAR-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.843, p=0.000\n", - "MAR-Fixed telephone subscriptions\n", - "Statistical=0.887, p=0.003\n", - "MAR-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Food exports (% of merchandise exports)\n", - "Statistical=0.902, p=0.007\n", - "MAR-Food imports (% of merchandise imports)\n", - "Statistical=0.946, p=0.110\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Food production index (2014-2016 = 100)\n", - "Statistical=0.898, p=0.006\n", - "MAR-Forest area (% of land area)\n", - "Statistical=0.871, p=0.001\n", - "MAR-Forest area (sq. km)\n", - "Statistical=0.885, p=0.003\n", - "MAR-Forest rents (% of GDP)\n", - "Statistical=0.932, p=0.044\n", - "MAR-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.843, p=0.000\n", - "MAR-Fuel exports (% of merchandise exports)\n", - "Statistical=0.825, p=0.000\n", - "MAR-Fuel imports (% of merchandise imports)\n", - "Statistical=0.845, p=0.000\n", - "MAR-GDP (current US$)\n", - "Statistical=0.922, p=0.023\n", - "MAR-GDP deflator (base year varies by country)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.945, p=0.107\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-GDP growth (annual %)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-GDP per capita (current US$)\n", - "Statistical=0.928, p=0.035\n", - "MAR-GDP per capita growth (annual %)\n", - "Statistical=0.915, p=0.015\n", - "MAR-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.968, p=0.455\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.859, p=0.001\n", - "MAR-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.838, p=0.000\n", - "MAR-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.834, p=0.000\n", - "MAR-GNI (current US$)\n", - "Statistical=0.856, p=0.001\n", - "MAR-GNI growth (annual %)\n", - "Statistical=0.833, p=0.000\n", - "MAR-GNI per capita growth (annual %)\n", - "Statistical=0.834, p=0.000\n", - "MAR-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.979, p=0.781\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-General government final consumption expenditure (current US$)\n", - "Statistical=0.863, p=0.001\n", - "MAR-Gini index\n", - "Statistical=0.951, p=0.156\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Goods exports (BoP, current US$)\n", - "Statistical=0.704, p=0.000\n", - "MAR-Goods imports (BoP, current US$)\n", - "Statistical=0.885, p=0.003\n", - "MAR-Grants and other revenue (% of revenue)\n", - "Statistical=0.724, p=0.000\n", - "MAR-Gross capital formation (% of GDP)\n", - "Statistical=0.866, p=0.001\n", - "MAR-Gross capital formation (current US$)\n", - "Statistical=0.876, p=0.002\n", - "MAR-Gross domestic savings (% of GDP)\n", - "Statistical=0.927, p=0.033\n", - "MAR-Gross domestic savings (current US$)\n", - "Statistical=0.979, p=0.757\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.830, p=0.000\n", - "MAR-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.898, p=0.006\n", - "MAR-Gross savings (% of GDP)\n", - "Statistical=0.922, p=0.024\n", - "MAR-Gross savings (current US$)\n", - "Statistical=0.954, p=0.191\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.769, p=0.000\n", - "MAR-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.845, p=0.000\n", - "MAR-High-technology exports (% of manufactured exports)\n", - "Statistical=0.796, p=0.000\n", - "MAR-High-technology exports (current US$)\n", - "Statistical=0.890, p=0.003\n", - "MAR-Hospital beds (per 1,000 people)\n", - "Statistical=0.913, p=0.013\n", - "MAR-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.895, p=0.005\n", - "MAR-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.744, p=0.000\n", - "MAR-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.744, p=0.000\n", - "MAR-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.744, p=0.000\n", - "MAR-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data is NORMAL ( H0 not denied )\n", - "MAR-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.948, p=0.125\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.981, p=0.816\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.894, p=0.004\n", - "MAR-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.787, p=0.000\n", - "MAR-ICT goods exports (% of total goods exports)\n", - "Statistical=0.688, p=0.000\n", - "MAR-ICT goods imports (% total goods imports)\n", - "Statistical=0.565, p=0.000\n", - "MAR-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.849, p=0.000\n", - "MAR-ICT service exports (BoP, current US$)\n", - "Statistical=0.781, p=0.000\n", - "MAR-Import unit value index (2000 = 100)\n", - "Statistical=0.814, p=0.000\n", - "MAR-Import value index (2000 = 100)\n", - "Statistical=0.829, p=0.000\n", - "MAR-Import volume index (2000 = 100)\n", - "Statistical=0.962, p=0.303\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Imports of goods and services (% of GDP)\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.876, p=0.002\n", - "MAR-Imports of goods and services (current US$)\n", - "Statistical=0.818, p=0.000\n", - "MAR-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=0.478, p=0.000\n", - "MAR-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "MAR-Income share held by highest 10%\n", - "Statistical=0.664, p=0.000\n", - "MAR-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Income share held by lowest 10%\n", - "Statistical=0.748, p=0.000\n", - "MAR-Income share held by lowest 20%\n", - "Statistical=0.897, p=0.005\n", - "MAR-Income share held by second 20%\n", - "Statistical=0.798, p=0.000\n", - "MAR-Income share held by third 20%\n", - "Statistical=0.763, p=0.000\n", - "MAR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.792, p=0.000\n", - "MAR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.771, p=0.000\n", - "MAR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.778, p=0.000\n", - "MAR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.758, p=0.000\n", - "MAR-Individuals using the Internet (% of population)\n", - "Statistical=0.798, p=0.000\n", - "MAR-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.846, p=0.000\n", - "MAR-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.475, p=0.000\n", - "MAR-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Intentional homicides (per 100,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Interest payments (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-International migrant stock (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Labor tax and contributions (% of commercial profits)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Land area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Land under cereal production (hectares)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.866, p=0.001\n", - "MAR-Lifetime risk of maternal death (%)\n", - "Statistical=0.915, p=0.015\n", - "MAR-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.920, p=0.021\n", - "MAR-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.817, p=0.000\n", - "MAR-Livestock production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.830, p=0.000\n", - "MAR-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.889, p=0.003\n", - "MAR-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.856, p=0.001\n", - "MAR-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.785, p=0.000\n", - "MAR-Low-birthweight babies (% of births)\n", - "Statistical=0.786, p=0.000\n", - "MAR-Lower secondary school starting age (years)\n", - "Statistical=0.864, p=0.001\n", - "MAR-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.919, p=0.019\n", - "MAR-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.872, p=0.001\n", - "MAR-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.874, p=0.001\n", - "MAR-Marine protected areas (% of territorial waters)\n", - "Statistical=0.798, p=0.000\n", - "MAR-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.830, p=0.000\n", - "MAR-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.888, p=0.003\n", - "MAR-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.870, p=0.001\n", - "MAR-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.912, p=0.013\n", - "MAR-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.970, p=0.493\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.942, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Merchandise exports (current US$)\n", - "Statistical=0.800, p=0.000\n", - "MAR-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.925, p=0.029\n", - "MAR-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.872, p=0.001\n", - "MAR-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.945, p=0.107\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.767, p=0.000\n", - "MAR-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.726, p=0.000\n", - "MAR-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.824, p=0.000\n", - "MAR-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.729, p=0.000\n", - "MAR-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.817, p=0.000\n", - "MAR-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.733, p=0.000\n", - "MAR-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.878, p=0.002\n", - "MAR-Merchandise imports (current US$)\n", - "Statistical=0.898, p=0.006\n", - "MAR-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.782, p=0.000\n", - "MAR-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.848, p=0.000\n", - "MAR-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.914, p=0.014\n", - "MAR-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.705, p=0.000\n", - "MAR-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.882, p=0.002\n", - "MAR-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.888, p=0.003\n", - "MAR-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.919, p=0.019\n", - "MAR-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.920, p=0.021\n", - "MAR-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.868, p=0.001\n", - "MAR-Merchandise trade (% of GDP)\n", - "Statistical=0.953, p=0.178\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Methane emissions (% change from 1990)\n", - "Statistical=0.920, p=0.021\n", - "MAR-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.920, p=0.021\n", - "MAR-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.907, p=0.009\n", - "MAR-Military expenditure (% of GDP)\n", - "Statistical=0.874, p=0.001\n", - "MAR-Military expenditure (% of general government expenditure)\n", - "Statistical=0.867, p=0.001\n", - "MAR-Military expenditure (current USD)\n", - "Statistical=0.921, p=0.022\n", - "MAR-Mineral rents (% of GDP)\n", - "Statistical=0.791, p=0.000\n", - "MAR-Mobile cellular subscriptions\n", - "Statistical=0.830, p=0.000\n", - "MAR-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.845, p=0.000\n", - "MAR-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.818, p=0.000\n", - "MAR-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.751, p=0.000\n", - "MAR-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.751, p=0.000\n", - "MAR-Natural gas rents (% of GDP)\n", - "Statistical=0.802, p=0.000\n", - "MAR-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.956, p=0.207\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Net capital account (BoP, current US$)\n", - "Statistical=0.912, p=0.013\n", - "MAR-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.960, p=0.283\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Net financial account (BoP, current US$)\n", - "Statistical=0.968, p=0.436\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Net migration\n", - "Statistical=0.894, p=0.004\n", - "MAR-Net primary income (BoP, current US$)\n", - "Statistical=0.894, p=0.004\n", - "MAR-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.902, p=0.007\n", - "MAR-Net secondary income (BoP, current US$)\n", - "Statistical=0.854, p=0.001\n", - "MAR-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.688, p=0.000\n", - "MAR-Net trade in goods (BoP, current US$)\n", - "Statistical=0.631, p=0.000\n", - "MAR-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.724, p=0.000\n", - "MAR-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.722, p=0.000\n", - "MAR-New businesses registered (number)\n", - "Statistical=0.731, p=0.000\n", - "MAR-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.797, p=0.000\n", - "MAR-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.811, p=0.000\n", - "MAR-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Number of deaths ages 10-14 years\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Number of deaths ages 15-19 years\n", - "Statistical=0.870, p=0.001\n", - "MAR-Number of deaths ages 20-24 years\n", - "Statistical=0.922, p=0.024\n", - "MAR-Number of deaths ages 5-9 years\n", - "Statistical=0.927, p=0.031\n", - "MAR-Number of infant deaths\n", - "Statistical=0.958, p=0.236\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Number of maternal deaths\n", - "Statistical=0.910, p=0.012\n", - "MAR-Number of neonatal deaths\n", - "Statistical=0.947, p=0.118\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Number of under-five deaths\n", - "Statistical=0.911, p=0.012\n", - "MAR-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.892, p=0.004\n", - "MAR-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.851, p=0.000\n", - "MAR-Oil rents (% of GDP)\n", - "Statistical=0.871, p=0.001\n", - "MAR-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.871, p=0.001\n", - "MAR-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.932, p=0.044\n", - "MAR-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.967, p=0.424\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.949, p=0.131\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.908, p=0.010\n", - "MAR-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.908, p=0.010\n", - "MAR-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.911, p=0.012\n", - "MAR-People using at least basic drinking water services (% of population)\n", - "Statistical=0.859, p=0.001\n", - "MAR-People using at least basic sanitation services (% of population)\n", - "Statistical=0.951, p=0.156\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-People using safely managed sanitation services (% of population)\n", - "Statistical=0.951, p=0.156\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Permanent cropland (% of land area)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Physicians (per 1,000 people)\n", - "Statistical=0.898, p=0.006\n", - "MAR-Population ages 0-14 (% of total population)\n", - "Statistical=0.898, p=0.006\n", - "MAR-Population ages 15-64 (% of total population)\n", - "Statistical=0.911, p=0.012\n", - "MAR-Population ages 65 and above (% of total population)\n", - "Statistical=0.828, p=0.000\n", - "MAR-Population density (people per sq. km of land area)\n", - "Statistical=0.975, p=0.633\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Population growth (annual %)\n", - "Statistical=0.898, p=0.006\n", - "MAR-Population in largest city\n", - "Statistical=0.897, p=0.005\n", - "MAR-Population in the largest city (% of urban population)\n", - "Statistical=0.876, p=0.002\n", - "MAR-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.855, p=0.001\n", - "MAR-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.911, p=0.012\n", - "MAR-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.908, p=0.010\n", - "MAR-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.908, p=0.010\n", - "MAR-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.911, p=0.012\n", - "MAR-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.910, p=0.011\n", - "MAR-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.910, p=0.011\n", - "MAR-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.913, p=0.013\n", - "MAR-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.859, p=0.001\n", - "MAR-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.974, p=0.614\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.900, p=0.006\n", - "MAR-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.900, p=0.006\n", - "MAR-Prevalence of undernourishment (% of population)\n", - "Statistical=0.912, p=0.013\n", - "MAR-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.975, p=0.635\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Primary income payments (BoP, current US$)\n", - "Statistical=0.816, p=0.000\n", - "MAR-Primary income receipts (BoP, current US$)\n", - "Statistical=0.900, p=0.006\n", - "MAR-Primary school starting age (years)\n", - "Statistical=0.897, p=0.005\n", - "MAR-Private credit bureau coverage (% of adults)\n", - "Statistical=0.850, p=0.000\n", - "MAR-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.910, p=0.011\n", - "MAR-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.909, p=0.010\n", - "MAR-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.913, p=0.013\n", - "MAR-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.972, p=0.562\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Procedures to build a warehouse (number)\n", - "Statistical=0.975, p=0.648\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Procedures to register property (number)\n", - "Statistical=0.845, p=0.000\n", - "MAR-Profit tax (% of commercial profits)\n", - "Statistical=0.845, p=0.000\n", - "MAR-Progression to secondary school (%)\n", - "Statistical=0.903, p=0.008\n", - "MAR-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.872, p=0.001\n", - "MAR-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.824, p=0.000\n", - "MAR-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.828, p=0.000\n", - "MAR-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.826, p=0.000\n", - "MAR-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.718, p=0.000\n", - "MAR-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.863, p=0.001\n", - "MAR-Public credit registry coverage (% of adults)\n", - "Statistical=0.881, p=0.002\n", - "MAR-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.849, p=0.000\n", - "MAR-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.586, p=0.000\n", - "MAR-Rail lines (total route-km)\n", - "Statistical=0.983, p=0.890\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.888, p=0.003\n", - "MAR-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.948, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Refugee population by country or territory of asylum\n", - "Statistical=0.961, p=0.296\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Refugee population by country or territory of origin\n", - "Statistical=0.955, p=0.205\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.883, p=0.002\n", - "MAR-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.883, p=0.002\n", - "MAR-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.871, p=0.001\n", - "MAR-Research and development expenditure (% of GDP)\n", - "Statistical=0.824, p=0.000\n", - "MAR-Researchers in R&D (per million people)\n", - "Statistical=0.913, p=0.013\n", - "MAR-Reserves and related items (BoP, current US$)\n", - "Statistical=0.960, p=0.283\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.926, p=0.031\n", - "MAR-Rural land area (sq. km)\n", - "Statistical=0.881, p=0.002\n", - "MAR-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.983, p=0.887\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.967, p=0.430\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Rural population\n", - "Statistical=0.862, p=0.001\n", - "MAR-Rural population (% of total population)\n", - "Statistical=0.862, p=0.001\n", - "MAR-Rural population growth (annual %)\n", - "Statistical=0.870, p=0.001\n", - "MAR-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.807, p=0.000\n", - "MAR-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.796, p=0.000\n", - "MAR-Scientific and technical journal articles\n", - "Statistical=0.893, p=0.004\n", - "MAR-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.831, p=0.000\n", - "MAR-Secure Internet servers\n", - "Statistical=0.921, p=0.022\n", - "MAR-Secure Internet servers (per 1 million people)\n", - "Statistical=0.895, p=0.005\n", - "MAR-Service exports (BoP, current US$)\n", - "Statistical=0.895, p=0.005\n", - "MAR-Service imports (BoP, current US$)\n", - "Statistical=0.895, p=0.005\n", - "MAR-Sex ratio at birth (male births per female births)\n", - "Statistical=0.838, p=0.000\n", - "MAR-Social contributions (% of revenue)\n", - "Statistical=0.919, p=0.019\n", - "MAR-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.967, p=0.429\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Start-up procedures to register a business (number)\n", - "Statistical=0.962, p=0.320\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.907, p=0.009\n", - "MAR-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.849, p=0.000\n", - "MAR-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.905, p=0.008\n", - "MAR-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.905, p=0.008\n", - "MAR-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.911, p=0.012\n", - "MAR-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.856, p=0.001\n", - "MAR-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.428, p=0.000\n", - "MAR-Surface area (sq. km)\n", - "Statistical=0.470, p=0.000\n", - "MAR-Tax payments (number)\n", - "Statistical=0.950, p=0.148\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Tax revenue (% of GDP)\n", - "Statistical=0.988, p=0.968\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Taxes less subsidies on products (current US$)\n", - "Statistical=0.910, p=0.011\n", - "MAR-Taxes on goods and services (% of revenue)\n", - "Statistical=0.910, p=0.011\n", - "MAR-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.902, p=0.007\n", - "MAR-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.852, p=0.000\n", - "MAR-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.903, p=0.007\n", - "MAR-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.988, p=0.972\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Time required to build a warehouse (days)\n", - "Statistical=0.910, p=0.011\n", - "MAR-Time required to enforce a contract (days)\n", - "Statistical=0.891, p=0.004\n", - "MAR-Time required to get electricity (days)\n", - "Statistical=0.928, p=0.034\n", - "MAR-Time required to register property (days)\n", - "Statistical=0.902, p=0.007\n", - "MAR-Time required to start a business (days)\n", - "Statistical=0.664, p=0.000\n", - "MAR-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.433, p=0.000\n", - "MAR-Time to obtain an electrical connection (days)\n", - "Statistical=0.660, p=0.000\n", - "MAR-Time to prepare and pay taxes (hours)\n", - "Statistical=0.419, p=0.000\n", - "MAR-Time to resolve insolvency (years)\n", - "Statistical=0.665, p=0.000\n", - "MAR-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.662, p=0.000\n", - "MAR-Total fisheries production (metric tons)\n", - "Statistical=0.655, p=0.000\n", - "MAR-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.665, p=0.000\n", - "MAR-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.664, p=0.000\n", - "MAR-Total natural resources rents (% of GDP)\n", - "Statistical=0.799, p=0.000\n", - "MAR-Total reserves (includes gold, current US$)\n", - "Statistical=0.820, p=0.000\n", - "MAR-Total reserves in months of imports\n", - "Statistical=0.929, p=0.037\n", - "MAR-Total reserves minus gold (current US$)\n", - "Statistical=0.842, p=0.000\n", - "MAR-Total tax and contribution rate (% of profit)\n", - "Statistical=0.784, p=0.000\n", - "MAR-Trade (% of GDP)\n", - "Statistical=0.790, p=0.000\n", - "MAR-Trade in services (% of GDP)\n", - "Statistical=0.819, p=0.000\n", - "MAR-Transport services (% of commercial service exports)\n", - "Statistical=0.953, p=0.176\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Transport services (% of commercial service imports)\n", - "Statistical=0.840, p=0.000\n", - "MAR-Transport services (% of service exports, BoP)\n", - "Statistical=0.894, p=0.004\n", - "MAR-Transport services (% of service imports, BoP)\n", - "Statistical=0.889, p=0.003\n", - "MAR-Travel services (% of commercial service exports)\n", - "Statistical=0.831, p=0.000\n", - "MAR-Travel services (% of commercial service imports)\n", - "Statistical=0.948, p=0.125\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Travel services (% of service exports, BoP)\n", - "Statistical=0.901, p=0.007\n", - "MAR-Travel services (% of service imports, BoP)\n", - "Statistical=0.901, p=0.007\n", - "MAR-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.875, p=0.001\n", - "MAR-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.836, p=0.000\n", - "MAR-UHC service coverage index\n", - "Statistical=0.829, p=0.000\n", - "MAR-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.801, p=0.000\n", - "MAR-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.854, p=0.001\n", - "MAR-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.889, p=0.003\n", - "MAR-Urban land area (sq. km)\n", - "Statistical=0.912, p=0.013\n", - "MAR-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.818, p=0.000\n", - "MAR-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.819, p=0.000\n", - "MAR-Urban population\n", - "Statistical=0.913, p=0.013\n", - "MAR-Urban population (% of total population)\n", - "Statistical=0.870, p=0.001\n", - "MAR-Urban population growth (annual %)\n", - "Statistical=0.721, p=0.000\n", - "MAR-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.721, p=0.000\n", - "MAR-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.711, p=0.000\n", - "MAR-GDP (current US$)+1\n", - "Statistical=0.711, p=0.000\n", - "MAR-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-GDP (current US$)+2\n", - "Statistical=0.785, p=0.000\n", - "MAR-GDP (current US$)+3\n", - "Statistical=0.847, p=0.000\n", - "MAR-GDP (current US$)+5\n", - "Statistical=0.980, p=0.810\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-GDP (current US$)+8\n", - "Statistical=0.953, p=0.173\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-GDP (current US$)+13\n", - "Statistical=0.912, p=0.013\n", - "MAR-GDP (current US$)+21\n", - "Statistical=0.912, p=0.013\n", - "MAR-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.899, p=0.006\n", - "MAR-Deposit interest rate (%)\n", - "Statistical=0.850, p=0.000\n", - "MAR-Other taxes (% of revenue)\n", - "Statistical=0.908, p=0.010\n", - "MAR-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.919, p=0.020\n", - "MAR-Taxes on international trade (% of revenue)\n", - "Statistical=0.919, p=0.020\n", - "MAR-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.833, p=0.000\n", - "MAR-Broad money (% of GDP)\n", - "Statistical=0.970, p=0.489\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Broad money growth (annual %)\n", - "Statistical=0.903, p=0.007\n", - "MAR-Broad money to total reserves ratio\n", - "Statistical=0.969, p=0.485\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.922, p=0.024\n", - "MAR-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.927, p=0.032\n", - "MAR-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.874, p=0.001\n", - "MAR-External health expenditure (% of current health expenditure)\n", - "Statistical=0.863, p=0.001\n", - "MAR-External health expenditure per capita (current US$)\n", - "Statistical=0.704, p=0.000\n", - "MAR-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.838, p=0.000\n", - "MAR-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.766, p=0.000\n", - "MAR-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.942, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.885, p=0.003\n", - "MAR-People practicing open defecation (% of population)\n", - "Statistical=0.878, p=0.002\n", - "MAR-Taxes on exports (% of tax revenue)\n", - "Statistical=0.879, p=0.002\n", - "MAR-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.871, p=0.001\n", - "MAR-Country\n", - "Statistical=0.960, p=0.283\n", - "Data is NORMAL ( H0 not denied )\n", - "MAR-Year\n", - "Statistical=0.851, p=0.000\n", - "MAR-Continent\n", - "Statistical=0.846, p=0.000\n", - "SEN-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Adjusted net national income (current US$)\n", - "Statistical=0.860, p=0.001\n", - "SEN-Adjusted net national income per capita (current US$)\n", - "Statistical=0.904, p=0.008\n", - "SEN-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.829, p=0.000\n", - "SEN-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.922, p=0.024\n", - "SEN-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.910, p=0.011\n", - "SEN-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.584, p=0.000\n", - "SEN-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.568, p=0.000\n", - "SEN-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.597, p=0.000\n", - "SEN-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.590, p=0.000\n", - "SEN-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.535, p=0.000\n", - "SEN-Age dependency ratio (% of working-age population)\n", - "Statistical=0.572, p=0.000\n", - "SEN-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.602, p=0.000\n", - "SEN-Agricultural land (% of land area)\n", - "Statistical=0.595, p=0.000\n", - "SEN-Agricultural land (sq. km)\n", - "Statistical=0.569, p=0.000\n", - "SEN-Agricultural methane emissions (% of total)\n", - "Statistical=0.862, p=0.001\n", - "SEN-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.877, p=0.002\n", - "SEN-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.842, p=0.000\n", - "SEN-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.987, p=0.958\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.889, p=0.003\n", - "SEN-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.877, p=0.002\n", - "SEN-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.985, p=0.926\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Aquaculture production (metric tons)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Arable land (% of land area)\n", - "Statistical=0.887, p=0.003\n", - "SEN-Arable land (hectares per person)\n", - "Statistical=0.926, p=0.029\n", - "SEN-Arable land (hectares)\n", - "Statistical=0.853, p=0.000\n", - "SEN-Armed forces personnel (% of total labor force)\n", - "Statistical=0.932, p=0.044\n", - "SEN-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.855, p=0.001\n", - "SEN-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.894, p=0.004\n", - "SEN-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.811, p=0.000\n", - "SEN-Average precipitation in depth (mm per year)\n", - "Statistical=0.924, p=0.027\n", - "SEN-Average time to clear exports through customs (days)\n", - "Statistical=0.916, p=0.016\n", - "SEN-Births attended by skilled health staff (% of total)\n", - "Statistical=0.918, p=0.018\n", - "SEN-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.857, p=0.001\n", - "SEN-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.803, p=0.000\n", - "SEN-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.706, p=0.000\n", - "SEN-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.933, p=0.048\n", - "SEN-CO2 emissions (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-CO2 emissions (metric tons per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.718, p=0.000\n", - "SEN-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.923, p=0.026\n", - "SEN-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.841, p=0.000\n", - "SEN-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.909, p=0.010\n", - "SEN-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.970, p=0.499\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.803, p=0.000\n", - "SEN-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.825, p=0.000\n", - "SEN-Capture fisheries production (metric tons)\n", - "Statistical=0.876, p=0.002\n", - "SEN-Cereal production (metric tons)\n", - "Statistical=0.904, p=0.008\n", - "SEN-Cereal yield (kg per hectare)\n", - "Statistical=0.859, p=0.001\n", - "SEN-Changes in inventories (current US$)\n", - "Statistical=0.895, p=0.005\n", - "SEN-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.703, p=0.000\n", - "SEN-Children out of school (% of primary school age)\n", - "Statistical=0.953, p=0.180\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Coal rents (% of GDP)\n", - "Statistical=0.953, p=0.180\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.725, p=0.000\n", - "SEN-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.709, p=0.000\n", - "SEN-Commercial service exports (current US$)\n", - "Statistical=0.798, p=0.000\n", - "SEN-Commercial service imports (current US$)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Completeness of birth registration (%)\n", - "Statistical=0.808, p=0.000\n", - "SEN-Consumer price index (2010 = 100)\n", - "Statistical=0.948, p=0.130\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Crop production index (2014-2016 = 100)\n", - "Statistical=0.886, p=0.003\n", - "SEN-Current account balance (% of GDP)\n", - "Statistical=0.965, p=0.369\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Current account balance (BoP, current US$)\n", - "Statistical=0.986, p=0.937\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Current health expenditure (% of GDP)\n", - "Statistical=0.864, p=0.001\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SEN-Current health expenditure per capita (current US$)\n", - "Statistical=0.864, p=0.001\n", - "SEN-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.902, p=0.007\n", - "SEN-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.884, p=0.003\n", - "SEN-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.846, p=0.000\n", - "SEN-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.790, p=0.000\n", - "SEN-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.880, p=0.002\n", - "SEN-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.932, p=0.044\n", - "SEN-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.693, p=0.000\n", - "SEN-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.694, p=0.000\n", - "SEN-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.692, p=0.000\n", - "SEN-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.666, p=0.000\n", - "SEN-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.666, p=0.000\n", - "SEN-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.703, p=0.000\n", - "SEN-Electric power consumption (kWh per capita)\n", - "Statistical=0.952, p=0.170\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Electricity production from coal sources (% of total)\n", - "Statistical=0.952, p=0.170\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.907, p=0.009\n", - "SEN-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.854, p=0.000\n", - "SEN-Electricity production from nuclear sources (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Electricity production from oil sources (% of total)\n", - "Statistical=0.959, p=0.255\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.685, p=0.000\n", - "SEN-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.694, p=0.000\n", - "SEN-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.745, p=0.000\n", - "SEN-Energy related methane emissions (% of total)\n", - "Statistical=0.692, p=0.000\n", - "SEN-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.952, p=0.162\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Export unit value index (2000 = 100)\n", - "Statistical=0.876, p=0.002\n", - "SEN-Export value index (2000 = 100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Export volume index (2000 = 100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Exports of goods and services (% of GDP)\n", - "Statistical=0.511, p=0.000\n", - "SEN-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.876, p=0.002\n", - "SEN-Exports of goods and services (current US$)\n", - "Statistical=0.835, p=0.000\n", - "SEN-External balance on goods and services (% of GDP)\n", - "Statistical=0.973, p=0.578\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-External balance on goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.540, p=0.000\n", - "SEN-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.926, p=0.030\n", - "SEN-Final consumption expenditure (% of GDP)\n", - "Statistical=0.926, p=0.030\n", - "SEN-Final consumption expenditure (current US$)\n", - "Statistical=0.915, p=0.015\n", - "SEN-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.905, p=0.008\n", - "SEN-Firms offering formal training (% of firms)\n", - "Statistical=0.908, p=0.010\n", - "SEN-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.871, p=0.001\n", - "SEN-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Fixed broadband subscriptions\n", - "Statistical=0.882, p=0.002\n", - "SEN-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.843, p=0.000\n", - "SEN-Fixed telephone subscriptions\n", - "Statistical=0.922, p=0.024\n", - "SEN-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.744, p=0.000\n", - "SEN-Food exports (% of merchandise exports)\n", - "Statistical=0.880, p=0.002\n", - "SEN-Food imports (% of merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Food production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Forest area (% of land area)\n", - "Statistical=0.919, p=0.020\n", - "SEN-Forest area (sq. km)\n", - "Statistical=0.893, p=0.004\n", - "SEN-Forest rents (% of GDP)\n", - "Statistical=0.970, p=0.492\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.844, p=0.000\n", - "SEN-Fuel exports (% of merchandise exports)\n", - "Statistical=0.825, p=0.000\n", - "SEN-Fuel imports (% of merchandise imports)\n", - "Statistical=0.846, p=0.000\n", - "SEN-GDP (current US$)\n", - "Statistical=0.925, p=0.028\n", - "SEN-GDP deflator (base year varies by country)\n", - "Statistical=0.921, p=0.022\n", - "SEN-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.923, p=0.025\n", - "SEN-GDP growth (annual %)\n", - "Statistical=0.917, p=0.018\n", - "SEN-GDP per capita (current US$)\n", - "Statistical=0.922, p=0.023\n", - "SEN-GDP per capita growth (annual %)\n", - "Statistical=0.824, p=0.000\n", - "SEN-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.852, p=0.000\n", - "SEN-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.867, p=0.001\n", - "SEN-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.847, p=0.000\n", - "SEN-GNI (current US$)\n", - "Statistical=0.959, p=0.264\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-GNI growth (annual %)\n", - "Statistical=0.891, p=0.004\n", - "SEN-GNI per capita growth (annual %)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.933, p=0.048\n", - "SEN-General government final consumption expenditure (current US$)\n", - "Statistical=0.956, p=0.207\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Gini index\n", - "Statistical=0.972, p=0.561\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Goods imports (BoP, current US$)\n", - "Statistical=0.899, p=0.006\n", - "SEN-Grants and other revenue (% of revenue)\n", - "Statistical=0.792, p=0.000\n", - "SEN-Gross capital formation (% of GDP)\n", - "Statistical=0.818, p=0.000\n", - "SEN-Gross capital formation (current US$)\n", - "Statistical=0.845, p=0.000\n", - "SEN-Gross domestic savings (% of GDP)\n", - "Statistical=0.961, p=0.288\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Gross domestic savings (current US$)\n", - "Statistical=0.856, p=0.001\n", - "SEN-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.743, p=0.000\n", - "SEN-Gross fixed capital formation (current US$)\n", - "Statistical=0.704, p=0.000\n", - "SEN-Gross national expenditure (% of GDP)\n", - "Statistical=0.693, p=0.000\n", - "SEN-Gross national expenditure (current US$)\n", - "Statistical=0.632, p=0.000\n", - "SEN-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Gross savings (% of GDP)\n", - "Statistical=0.933, p=0.048\n", - "SEN-Gross savings (current US$)\n", - "Statistical=0.902, p=0.007\n", - "SEN-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.802, p=0.000\n", - "SEN-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.807, p=0.000\n", - "SEN-High-technology exports (% of manufactured exports)\n", - "Statistical=0.845, p=0.000\n", - "SEN-High-technology exports (current US$)\n", - "Statistical=0.880, p=0.002\n", - "SEN-Hospital beds (per 1,000 people)\n", - "Statistical=0.956, p=0.209\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.926, p=0.030\n", - "SEN-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.790, p=0.000\n", - "SEN-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.790, p=0.000\n", - "SEN-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.790, p=0.000\n", - "SEN-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.923, p=0.025\n", - "SEN-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.912, p=0.012\n", - "SEN-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.850, p=0.000\n", - "SEN-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.615, p=0.000\n", - "SEN-ICT goods exports (% of total goods exports)\n", - "Statistical=0.622, p=0.000\n", - "SEN-ICT goods imports (% total goods imports)\n", - "Statistical=0.727, p=0.000\n", - "SEN-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.867, p=0.001\n", - "SEN-ICT service exports (BoP, current US$)\n", - "Statistical=0.823, p=0.000\n", - "SEN-Import unit value index (2000 = 100)\n", - "Statistical=0.857, p=0.001\n", - "SEN-Import value index (2000 = 100)\n", - "Statistical=0.228, p=0.000\n", - "SEN-Import volume index (2000 = 100)\n", - "Statistical=0.451, p=0.000\n", - "SEN-Imports of goods and services (% of GDP)\n", - "Statistical=0.920, p=0.021\n", - "SEN-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.856, p=0.001\n", - "SEN-Imports of goods and services (current US$)\n", - "Statistical=0.851, p=0.000\n", - "SEN-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "SEN-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Income share held by lowest 10%\n", - "Statistical=0.890, p=0.004\n", - "SEN-Income share held by lowest 20%\n", - "Statistical=0.890, p=0.003\n", - "SEN-Income share held by second 20%\n", - "Statistical=0.930, p=0.039\n", - "SEN-Income share held by third 20%\n", - "Statistical=0.899, p=0.006\n", - "SEN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.768, p=0.000\n", - "SEN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.851, p=0.000\n", - "SEN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.876, p=0.002\n", - "SEN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.893, p=0.004\n", - "SEN-Individuals using the Internet (% of population)\n", - "Statistical=0.829, p=0.000\n", - "SEN-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.813, p=0.000\n", - "SEN-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.455, p=0.000\n", - "SEN-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.710, p=0.000\n", - "SEN-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.710, p=0.000\n", - "SEN-Intentional homicides (per 100,000 people)\n", - "Statistical=0.713, p=0.000\n", - "SEN-Interest payments (% of revenue)\n", - "Statistical=0.783, p=0.000\n", - "SEN-International migrant stock (% of population)\n", - "Statistical=0.722, p=0.000\n", - "SEN-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.474, p=0.000\n", - "SEN-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.780, p=0.000\n", - "SEN-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.726, p=0.000\n", - "SEN-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.717, p=0.000\n", - "SEN-Land area (sq. km)\n", - "Statistical=0.661, p=0.000\n", - "SEN-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.660, p=0.000\n", - "SEN-Land under cereal production (hectares)\n", - "Statistical=0.664, p=0.000\n", - "SEN-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.841, p=0.000\n", - "SEN-Lifetime risk of maternal death (%)\n", - "Statistical=0.787, p=0.000\n", - "SEN-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.949, p=0.134\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.885, p=0.003\n", - "SEN-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.867, p=0.001\n", - "SEN-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.895, p=0.005\n", - "SEN-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.897, p=0.005\n", - "SEN-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.896, p=0.005\n", - "SEN-Low-birthweight babies (% of births)\n", - "Statistical=0.915, p=0.015\n", - "SEN-Lower secondary school starting age (years)\n", - "Statistical=0.892, p=0.004\n", - "SEN-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.900, p=0.006\n", - "SEN-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.888, p=0.003\n", - "SEN-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Marine protected areas (% of territorial waters)\n", - "Statistical=0.927, p=0.032\n", - "SEN-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.836, p=0.000\n", - "SEN-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.904, p=0.008\n", - "SEN-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.904, p=0.008\n", - "SEN-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.908, p=0.010\n", - "SEN-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.911, p=0.012\n", - "SEN-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.763, p=0.000\n", - "SEN-Merchandise exports (current US$)\n", - "Statistical=0.837, p=0.000\n", - "SEN-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.851, p=0.000\n", - "SEN-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.839, p=0.000\n", - "SEN-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.822, p=0.000\n", - "SEN-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.911, p=0.012\n", - "SEN-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.873, p=0.001\n", - "SEN-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.867, p=0.001\n", - "SEN-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.652, p=0.000\n", - "SEN-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.889, p=0.003\n", - "SEN-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.771, p=0.000\n", - "SEN-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.856, p=0.001\n", - "SEN-Merchandise imports (current US$)\n", - "Statistical=0.879, p=0.002\n", - "SEN-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.920, p=0.020\n", - "SEN-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.927, p=0.033\n", - "SEN-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.797, p=0.000\n", - "SEN-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.889, p=0.003\n", - "SEN-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.952, p=0.164\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.831, p=0.000\n", - "SEN-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.973, p=0.593\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.862, p=0.001\n", - "SEN-Merchandise trade (% of GDP)\n", - "Statistical=0.950, p=0.148\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Methane emissions (% change from 1990)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.918, p=0.018\n", - "SEN-Military expenditure (% of GDP)\n", - "Statistical=0.865, p=0.001\n", - "SEN-Military expenditure (% of general government expenditure)\n", - "Statistical=0.861, p=0.001\n", - "SEN-Military expenditure (current USD)\n", - "Statistical=0.957, p=0.225\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Mineral rents (% of GDP)\n", - "Statistical=0.497, p=0.000\n", - "SEN-Mobile cellular subscriptions\n", - "Statistical=0.925, p=0.029\n", - "SEN-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.877, p=0.002\n", - "SEN-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.791, p=0.000\n", - "SEN-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.786, p=0.000\n", - "SEN-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.756, p=0.000\n", - "SEN-Natural gas rents (% of GDP)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.709, p=0.000\n", - "SEN-Net capital account (BoP, current US$)\n", - "Statistical=0.933, p=0.047\n", - "SEN-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.949, p=0.131\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Net financial account (BoP, current US$)\n", - "Statistical=0.977, p=0.720\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Net migration\n", - "Statistical=0.926, p=0.031\n", - "SEN-Net primary income (BoP, current US$)\n", - "Statistical=0.926, p=0.031\n", - "SEN-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.931, p=0.040\n", - "SEN-Net secondary income (BoP, current US$)\n", - "Statistical=0.875, p=0.001\n", - "SEN-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.694, p=0.000\n", - "SEN-Net trade in goods (BoP, current US$)\n", - "Statistical=0.694, p=0.000\n", - "SEN-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.694, p=0.000\n", - "SEN-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.694, p=0.000\n", - "SEN-New businesses registered (number)\n", - "Statistical=0.694, p=0.000\n", - "SEN-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.805, p=0.000\n", - "SEN-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.798, p=0.000\n", - "SEN-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.909, p=0.011\n", - "SEN-Number of deaths ages 10-14 years\n", - "Statistical=0.919, p=0.019\n", - "SEN-Number of deaths ages 15-19 years\n", - "Statistical=0.889, p=0.003\n", - "SEN-Number of deaths ages 20-24 years\n", - "Statistical=0.955, p=0.200\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Number of deaths ages 5-9 years\n", - "Statistical=0.897, p=0.005\n", - "SEN-Number of infant deaths\n", - "Statistical=0.865, p=0.001\n", - "SEN-Number of maternal deaths\n", - "Statistical=0.884, p=0.002\n", - "SEN-Number of neonatal deaths\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Number of under-five deaths\n", - "Statistical=0.898, p=0.006\n", - "SEN-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.960, p=0.271\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.908, p=0.010\n", - "SEN-Oil rents (% of GDP)\n", - "Statistical=0.956, p=0.215\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.956, p=0.215\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.970, p=0.504\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.861, p=0.001\n", - "SEN-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.956, p=0.210\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.876, p=0.002\n", - "SEN-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.910, p=0.011\n", - "SEN-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.910, p=0.011\n", - "SEN-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.924, p=0.027\n", - "SEN-People using at least basic drinking water services (% of population)\n", - "Statistical=0.879, p=0.002\n", - "SEN-People using at least basic sanitation services (% of population)\n", - "Statistical=0.905, p=0.008\n", - "SEN-People using safely managed sanitation services (% of population)\n", - "Statistical=0.905, p=0.008\n", - "SEN-Permanent cropland (% of land area)\n", - "Statistical=0.968, p=0.436\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Physicians (per 1,000 people)\n", - "Statistical=0.916, p=0.017\n", - "SEN-Population ages 0-14 (% of total population)\n", - "Statistical=0.916, p=0.017\n", - "SEN-Population ages 15-64 (% of total population)\n", - "Statistical=0.952, p=0.162\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Population ages 65 and above (% of total population)\n", - "Statistical=0.895, p=0.005\n", - "SEN-Population density (people per sq. km of land area)\n", - "Statistical=0.968, p=0.449\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Population growth (annual %)\n", - "Statistical=0.916, p=0.017\n", - "SEN-Population in largest city\n", - "Statistical=0.930, p=0.038\n", - "SEN-Population in the largest city (% of urban population)\n", - "Statistical=0.921, p=0.023\n", - "SEN-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.886, p=0.003\n", - "SEN-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.912, p=0.013\n", - "SEN-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.910, p=0.011\n", - "SEN-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.913, p=0.013\n", - "SEN-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.924, p=0.027\n", - "SEN-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.917, p=0.017\n", - "SEN-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.917, p=0.017\n", - "SEN-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.928, p=0.034\n", - "SEN-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.879, p=0.002\n", - "SEN-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.960, p=0.269\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.927, p=0.032\n", - "SEN-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.927, p=0.032\n", - "SEN-Prevalence of undernourishment (% of population)\n", - "Statistical=0.952, p=0.166\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.959, p=0.256\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Primary income payments (BoP, current US$)\n", - "Statistical=0.878, p=0.002\n", - "SEN-Primary income receipts (BoP, current US$)\n", - "Statistical=0.927, p=0.032\n", - "SEN-Primary school starting age (years)\n", - "Statistical=0.933, p=0.049\n", - "SEN-Private credit bureau coverage (% of adults)\n", - "Statistical=0.851, p=0.000\n", - "SEN-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.917, p=0.017\n", - "SEN-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.917, p=0.018\n", - "SEN-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.928, p=0.034\n", - "SEN-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.965, p=0.368\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Procedures to build a warehouse (number)\n", - "Statistical=0.971, p=0.516\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Procedures to register property (number)\n", - "Statistical=0.925, p=0.029\n", - "SEN-Profit tax (% of commercial profits)\n", - "Statistical=0.925, p=0.029\n", - "SEN-Progression to secondary school (%)\n", - "Statistical=0.894, p=0.004\n", - "SEN-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.894, p=0.004\n", - "SEN-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.880, p=0.002\n", - "SEN-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.862, p=0.001\n", - "SEN-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.857, p=0.001\n", - "SEN-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.815, p=0.000\n", - "SEN-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Public credit registry coverage (% of adults)\n", - "Statistical=0.861, p=0.001\n", - "SEN-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.846, p=0.000\n", - "SEN-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.829, p=0.000\n", - "SEN-Rail lines (total route-km)\n", - "Statistical=0.500, p=0.000\n", - "SEN-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.444, p=0.000\n", - "SEN-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.972, p=0.566\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Refugee population by country or territory of asylum\n", - "Statistical=0.946, p=0.111\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Refugee population by country or territory of origin\n", - "Statistical=0.974, p=0.627\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.868, p=0.001\n", - "SEN-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.868, p=0.001\n", - "SEN-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.878, p=0.002\n", - "SEN-Research and development expenditure (% of GDP)\n", - "Statistical=0.868, p=0.001\n", - "SEN-Researchers in R&D (per million people)\n", - "Statistical=0.889, p=0.003\n", - "SEN-Reserves and related items (BoP, current US$)\n", - "Statistical=0.949, p=0.131\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.882, p=0.002\n", - "SEN-Rural land area (sq. km)\n", - "Statistical=0.834, p=0.000\n", - "SEN-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Rural population\n", - "Statistical=0.789, p=0.000\n", - "SEN-Rural population (% of total population)\n", - "Statistical=0.789, p=0.000\n", - "SEN-Rural population growth (annual %)\n", - "Statistical=0.872, p=0.001\n", - "SEN-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.852, p=0.000\n", - "SEN-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.813, p=0.000\n", - "SEN-Scientific and technical journal articles\n", - "Statistical=0.822, p=0.000\n", - "SEN-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.818, p=0.000\n", - "SEN-Secure Internet servers\n", - "Statistical=0.975, p=0.649\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Secure Internet servers (per 1 million people)\n", - "Statistical=0.902, p=0.007\n", - "SEN-Service exports (BoP, current US$)\n", - "Statistical=0.901, p=0.007\n", - "SEN-Service imports (BoP, current US$)\n", - "Statistical=0.926, p=0.029\n", - "SEN-Sex ratio at birth (male births per female births)\n", - "Statistical=0.880, p=0.002\n", - "SEN-Social contributions (% of revenue)\n", - "Statistical=0.880, p=0.002\n", - "SEN-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Start-up procedures to register a business (number)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.887, p=0.003\n", - "SEN-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.884, p=0.003\n", - "SEN-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.901, p=0.007\n", - "SEN-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.901, p=0.007\n", - "SEN-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.920, p=0.021\n", - "SEN-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.876, p=0.002\n", - "SEN-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.746, p=0.000\n", - "SEN-Surface area (sq. km)\n", - "Statistical=0.713, p=0.000\n", - "SEN-Tax payments (number)\n", - "Statistical=0.909, p=0.011\n", - "SEN-Tax revenue (% of GDP)\n", - "Statistical=0.983, p=0.890\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Taxes less subsidies on products (current US$)\n", - "Statistical=0.927, p=0.033\n", - "SEN-Taxes on goods and services (% of revenue)\n", - "Statistical=0.927, p=0.033\n", - "SEN-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.867, p=0.001\n", - "SEN-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.990, p=0.989\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Time required to build a warehouse (days)\n", - "Statistical=0.927, p=0.033\n", - "SEN-Time required to enforce a contract (days)\n", - "Statistical=0.918, p=0.018\n", - "SEN-Time required to get electricity (days)\n", - "Statistical=0.910, p=0.011\n", - "SEN-Time required to register property (days)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Time required to start a business (days)\n", - "Statistical=0.410, p=0.000\n", - "SEN-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.643, p=0.000\n", - "SEN-Time to obtain an electrical connection (days)\n", - "Statistical=0.643, p=0.000\n", - "SEN-Time to prepare and pay taxes (hours)\n", - "Statistical=0.643, p=0.000\n", - "SEN-Time to resolve insolvency (years)\n", - "Statistical=0.410, p=0.000\n", - "SEN-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.403, p=0.000\n", - "SEN-Total fisheries production (metric tons)\n", - "Statistical=0.668, p=0.000\n", - "SEN-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.397, p=0.000\n", - "SEN-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.408, p=0.000\n", - "SEN-Total natural resources rents (% of GDP)\n", - "Statistical=0.876, p=0.002\n", - "SEN-Total reserves (includes gold, current US$)\n", - "Statistical=0.895, p=0.005\n", - "SEN-Total reserves in months of imports\n", - "Statistical=0.916, p=0.016\n", - "SEN-Total reserves minus gold (current US$)\n", - "Statistical=0.864, p=0.001\n", - "SEN-Total tax and contribution rate (% of profit)\n", - "Statistical=0.813, p=0.000\n", - "SEN-Trade (% of GDP)\n", - "Statistical=0.784, p=0.000\n", - "SEN-Trade in services (% of GDP)\n", - "Statistical=0.907, p=0.009\n", - "SEN-Transport services (% of commercial service exports)\n", - "Statistical=0.863, p=0.001\n", - "SEN-Transport services (% of commercial service imports)\n", - "Statistical=0.871, p=0.001\n", - "SEN-Transport services (% of service exports, BoP)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Transport services (% of service imports, BoP)\n", - "Statistical=0.981, p=0.823\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Travel services (% of commercial service exports)\n", - "Statistical=0.850, p=0.000\n", - "SEN-Travel services (% of commercial service imports)\n", - "Statistical=0.982, p=0.862\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Travel services (% of service exports, BoP)\n", - "Statistical=0.852, p=0.000\n", - "SEN-Travel services (% of service imports, BoP)\n", - "Statistical=0.852, p=0.000\n", - "SEN-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.918, p=0.018\n", - "SEN-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.858, p=0.001\n", - "SEN-UHC service coverage index\n", - "Statistical=0.852, p=0.000\n", - "SEN-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.851, p=0.000\n", - "SEN-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.914, p=0.014\n", - "SEN-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.780, p=0.000\n", - "SEN-Urban land area (sq. km)\n", - "Statistical=0.801, p=0.000\n", - "SEN-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.919, p=0.020\n", - "SEN-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.898, p=0.005\n", - "SEN-Urban population\n", - "Statistical=0.853, p=0.000\n", - "SEN-Urban population (% of total population)\n", - "Statistical=0.812, p=0.000\n", - "SEN-Urban population growth (annual %)\n", - "Statistical=0.812, p=0.000\n", - "SEN-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.812, p=0.000\n", - "SEN-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.722, p=0.000\n", - "SEN-GDP (current US$)+1\n", - "Statistical=0.722, p=0.000\n", - "SEN-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-GDP (current US$)+2\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-GDP (current US$)+3\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-GDP (current US$)+5\n", - "Statistical=0.961, p=0.283\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-GDP (current US$)+8\n", - "Statistical=0.981, p=0.833\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-GDP (current US$)+13\n", - "Statistical=0.926, p=0.031\n", - "SEN-GDP (current US$)+21\n", - "Statistical=0.926, p=0.031\n", - "SEN-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.926, p=0.030\n", - "SEN-Deposit interest rate (%)\n", - "Statistical=0.883, p=0.002\n", - "SEN-Other taxes (% of revenue)\n", - "Statistical=0.929, p=0.037\n", - "SEN-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Taxes on international trade (% of revenue)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.982, p=0.850\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Broad money (% of GDP)\n", - "Statistical=0.915, p=0.015\n", - "SEN-Broad money growth (annual %)\n", - "Statistical=0.929, p=0.037\n", - "SEN-Broad money to total reserves ratio\n", - "Statistical=0.893, p=0.004\n", - "SEN-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.963, p=0.328\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.478, p=0.000\n", - "SEN-External health expenditure (% of current health expenditure)\n", - "Statistical=0.475, p=0.000\n", - "SEN-External health expenditure per capita (current US$)\n", - "Statistical=0.754, p=0.000\n", - "SEN-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.830, p=0.000\n", - "SEN-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.956, p=0.213\n", - "Data is NORMAL ( H0 not denied )\n", - "SEN-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.809, p=0.000\n", - "SEN-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.859, p=0.001\n", - "SEN-People practicing open defecation (% of population)\n", - "Statistical=0.860, p=0.001\n", - "SEN-Taxes on exports (% of tax revenue)\n", - "Statistical=0.851, p=0.000\n", - "SEN-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.788, p=0.000\n", - "SEN-Country\n", - "Statistical=0.908, p=0.010\n", - "SEN-Year\n", - "Statistical=0.856, p=0.001\n", - "SEN-Continent\n", - "Statistical=0.863, p=0.001\n", - "ZAF-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Adjusted net national income (current US$)\n", - "Statistical=0.830, p=0.000\n", - "ZAF-Adjusted net national income per capita (current US$)\n", - "Statistical=0.818, p=0.000\n", - "ZAF-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.833, p=0.000\n", - "ZAF-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.798, p=0.000\n", - "ZAF-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.798, p=0.000\n", - "ZAF-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.923, p=0.026\n", - "ZAF-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.613, p=0.000\n", - "ZAF-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.606, p=0.000\n", - "ZAF-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.624, p=0.000\n", - "ZAF-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.645, p=0.000\n", - "ZAF-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.620, p=0.000\n", - "ZAF-Age dependency ratio (% of working-age population)\n", - "Statistical=0.615, p=0.000\n", - "ZAF-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.651, p=0.000\n", - "ZAF-Agricultural land (% of land area)\n", - "Statistical=0.629, p=0.000\n", - "ZAF-Agricultural land (sq. km)\n", - "Statistical=0.619, p=0.000\n", - "ZAF-Agricultural methane emissions (% of total)\n", - "Statistical=0.913, p=0.014\n", - "ZAF-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.811, p=0.000\n", - "ZAF-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.948, p=0.129\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.953, p=0.179\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.901, p=0.007\n", - "ZAF-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.871, p=0.001\n", - "ZAF-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.964, p=0.351\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Aquaculture production (metric tons)\n", - "Statistical=0.815, p=0.000\n", - "ZAF-Arable land (% of land area)\n", - "Statistical=0.917, p=0.017\n", - "ZAF-Arable land (hectares per person)\n", - "Statistical=0.983, p=0.883\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Arable land (hectares)\n", - "Statistical=0.968, p=0.450\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Armed forces personnel (% of total labor force)\n", - "Statistical=0.974, p=0.625\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.972, p=0.564\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.958, p=0.245\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.908, p=0.010\n", - "ZAF-Average precipitation in depth (mm per year)\n", - "Statistical=0.976, p=0.692\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Average time to clear exports through customs (days)\n", - "Statistical=0.843, p=0.000\n", - "ZAF-Births attended by skilled health staff (% of total)\n", - "Statistical=0.929, p=0.037\n", - "ZAF-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.888, p=0.003\n", - "ZAF-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.908, p=0.010\n", - "ZAF-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-CO2 emissions (kt)\n", - "Statistical=0.953, p=0.170\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-CO2 emissions (metric tons per capita)\n", - "Statistical=0.858, p=0.001\n", - "ZAF-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.978, p=0.737\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=0.960, p=0.278\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=0.966, p=0.392\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.927, p=0.033\n", - "ZAF-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.922, p=0.024\n", - "ZAF-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.894, p=0.004\n", - "ZAF-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.947, p=0.116\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.778, p=0.000\n", - "ZAF-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.960, p=0.276\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Capture fisheries production (metric tons)\n", - "Statistical=0.902, p=0.007\n", - "ZAF-Cereal production (metric tons)\n", - "Statistical=0.796, p=0.000\n", - "ZAF-Cereal yield (kg per hectare)\n", - "Statistical=0.889, p=0.003\n", - "ZAF-Changes in inventories (current US$)\n", - "Statistical=0.820, p=0.000\n", - "ZAF-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.602, p=0.000\n", - "ZAF-Children out of school (% of primary school age)\n", - "Statistical=0.891, p=0.004\n", - "ZAF-Coal rents (% of GDP)\n", - "Statistical=0.891, p=0.004\n", - "ZAF-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.668, p=0.000\n", - "ZAF-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.656, p=0.000\n", - "ZAF-Commercial service exports (current US$)\n", - "Statistical=0.870, p=0.001\n", - "ZAF-Commercial service imports (current US$)\n", - "Statistical=0.915, p=0.015\n", - "ZAF-Completeness of birth registration (%)\n", - "Statistical=0.730, p=0.000\n", - "ZAF-Consumer price index (2010 = 100)\n", - "Statistical=0.971, p=0.536\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.884, p=0.002\n", - "ZAF-Crop production index (2014-2016 = 100)\n", - "Statistical=0.816, p=0.000\n", - "ZAF-Current account balance (% of GDP)\n", - "Statistical=0.910, p=0.011\n", - "ZAF-Current account balance (BoP, current US$)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Current health expenditure (% of GDP)\n", - "Statistical=0.930, p=0.040\n", - "ZAF-Current health expenditure per capita (current US$)\n", - "Statistical=0.930, p=0.040\n", - "ZAF-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.889, p=0.003\n", - "ZAF-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.924, p=0.026\n", - "ZAF-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.931, p=0.041\n", - "ZAF-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.946, p=0.111\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.906, p=0.009\n", - "ZAF-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.915, p=0.015\n", - "ZAF-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.966, p=0.386\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.892, p=0.004\n", - "ZAF-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.859, p=0.001\n", - "ZAF-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.857, p=0.001\n", - "ZAF-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.812, p=0.000\n", - "ZAF-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.812, p=0.000\n", - "ZAF-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.957, p=0.228\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Electric power consumption (kWh per capita)\n", - "Statistical=0.844, p=0.000\n", - "ZAF-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.903, p=0.007\n", - "ZAF-Electricity production from coal sources (% of total)\n", - "Statistical=0.844, p=0.000\n", - "ZAF-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.933, p=0.049\n", - "ZAF-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.895, p=0.005\n", - "ZAF-Electricity production from oil sources (% of total)\n", - "Statistical=0.806, p=0.000\n", - "ZAF-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.767, p=0.000\n", - "ZAF-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.728, p=0.000\n", - "ZAF-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.724, p=0.000\n", - "ZAF-Energy related methane emissions (% of total)\n", - "Statistical=0.630, p=0.000\n", - "ZAF-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.702, p=0.000\n", - "ZAF-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.911, p=0.012\n", - "ZAF-Export unit value index (2000 = 100)\n", - "Statistical=0.832, p=0.000\n", - "ZAF-Export value index (2000 = 100)\n", - "Statistical=0.834, p=0.000\n", - "ZAF-Export volume index (2000 = 100)\n", - "Statistical=0.745, p=0.000\n", - "ZAF-Exports of goods and services (% of GDP)\n", - "Statistical=0.861, p=0.001\n", - "ZAF-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.913, p=0.014\n", - "ZAF-Exports of goods and services (current US$)\n", - "Statistical=0.886, p=0.003\n", - "ZAF-External balance on goods and services (% of GDP)\n", - "Statistical=0.952, p=0.169\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-External balance on goods and services (current US$)\n", - "Statistical=0.834, p=0.000\n", - "ZAF-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.954, p=0.186\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Final consumption expenditure (% of GDP)\n", - "Statistical=0.958, p=0.247\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Final consumption expenditure (current US$)\n", - "Statistical=0.920, p=0.021\n", - "ZAF-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.852, p=0.000\n", - "ZAF-Firms offering formal training (% of firms)\n", - "Statistical=0.919, p=0.020\n", - "ZAF-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.926, p=0.031\n", - "ZAF-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.848, p=0.000\n", - "ZAF-Fixed broadband subscriptions\n", - "Statistical=0.944, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Fixed telephone subscriptions\n", - "Statistical=0.909, p=0.011\n", - "ZAF-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.844, p=0.000\n", - "ZAF-Food exports (% of merchandise exports)\n", - "Statistical=0.926, p=0.031\n", - "ZAF-Food imports (% of merchandise imports)\n", - "Statistical=0.885, p=0.003\n", - "ZAF-Food production index (2014-2016 = 100)\n", - "Statistical=0.880, p=0.002\n", - "ZAF-Forest area (% of land area)\n", - "Statistical=0.981, p=0.833\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Forest area (sq. km)\n", - "Statistical=0.861, p=0.001\n", - "ZAF-Forest rents (% of GDP)\n", - "Statistical=0.950, p=0.141\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.685, p=0.000\n", - "ZAF-Fuel exports (% of merchandise exports)\n", - "Statistical=0.903, p=0.007\n", - "ZAF-Fuel imports (% of merchandise imports)\n", - "Statistical=0.707, p=0.000\n", - "ZAF-GDP (current US$)\n", - "Statistical=0.965, p=0.365\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-GDP deflator (base year varies by country)\n", - "Statistical=0.958, p=0.237\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.958, p=0.244\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-GDP growth (annual %)\n", - "Statistical=0.979, p=0.759\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-GDP per capita (current US$)\n", - "Statistical=0.866, p=0.001\n", - "ZAF-GDP per capita growth (annual %)\n", - "Statistical=0.908, p=0.010\n", - "ZAF-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.715, p=0.000\n", - "ZAF-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.890, p=0.003\n", - "ZAF-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.845, p=0.000\n", - "ZAF-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.954, p=0.186\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-GNI (current US$)\n", - "Statistical=0.851, p=0.000\n", - "ZAF-GNI growth (annual %)\n", - "Statistical=0.840, p=0.000\n", - "ZAF-GNI per capita growth (annual %)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.968, p=0.438\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-General government final consumption expenditure (current US$)\n", - "Statistical=0.977, p=0.694\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Gini index\n", - "Statistical=0.949, p=0.139\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Goods exports (BoP, current US$)\n", - "Statistical=0.959, p=0.261\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Goods imports (BoP, current US$)\n", - "Statistical=0.970, p=0.489\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Grants and other revenue (% of revenue)\n", - "Statistical=0.768, p=0.000\n", - "ZAF-Gross capital formation (% of GDP)\n", - "Statistical=0.866, p=0.001\n", - "ZAF-Gross capital formation (current US$)\n", - "Statistical=0.878, p=0.002\n", - "ZAF-Gross domestic savings (% of GDP)\n", - "Statistical=0.894, p=0.004\n", - "ZAF-Gross domestic savings (current US$)\n", - "Statistical=0.877, p=0.002\n", - "ZAF-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.752, p=0.000\n", - "ZAF-Gross fixed capital formation (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Gross national expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.919, p=0.019\n", - "ZAF-Gross savings (% of GDP)\n", - "Statistical=0.887, p=0.003\n", - "ZAF-Gross savings (current US$)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.814, p=0.000\n", - "ZAF-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-High-technology exports (% of manufactured exports)\n", - "Statistical=0.879, p=0.002\n", - "ZAF-High-technology exports (current US$)\n", - "Statistical=0.850, p=0.000\n", - "ZAF-Hospital beds (per 1,000 people)\n", - "Statistical=0.756, p=0.000\n", - "ZAF-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.818, p=0.000\n", - "ZAF-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.714, p=0.000\n", - "ZAF-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.714, p=0.000\n", - "ZAF-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.714, p=0.000\n", - "ZAF-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=0.391, p=0.000\n", - "ZAF-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.985, p=0.931\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.953, p=0.179\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.952, p=0.169\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.823, p=0.000\n", - "ZAF-ICT goods exports (% of total goods exports)\n", - "Statistical=0.853, p=0.000\n", - "ZAF-ICT goods imports (% total goods imports)\n", - "Statistical=0.845, p=0.000\n", - "ZAF-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.932, p=0.046\n", - "ZAF-ICT service exports (BoP, current US$)\n", - "Statistical=0.883, p=0.002\n", - "ZAF-Import unit value index (2000 = 100)\n", - "Statistical=0.806, p=0.000\n", - "ZAF-Import value index (2000 = 100)\n", - "Statistical=0.919, p=0.020\n", - "ZAF-Import volume index (2000 = 100)\n", - "Statistical=0.863, p=0.001\n", - "ZAF-Imports of goods and services (% of GDP)\n", - "Statistical=0.932, p=0.045\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ZAF-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.916, p=0.016\n", - "ZAF-Imports of goods and services (current US$)\n", - "Statistical=0.930, p=0.040\n", - "ZAF-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "ZAF-Income share held by highest 10%\n", - "Statistical=0.499, p=0.000\n", - "ZAF-Income share held by highest 20%\n", - "Statistical=0.873, p=0.001\n", - "ZAF-Income share held by lowest 10%\n", - "Statistical=0.972, p=0.562\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Income share held by lowest 20%\n", - "Statistical=0.963, p=0.331\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Income share held by second 20%\n", - "Statistical=0.838, p=0.000\n", - "ZAF-Income share held by third 20%\n", - "Statistical=0.839, p=0.000\n", - "ZAF-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.869, p=0.001\n", - "ZAF-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.834, p=0.000\n", - "ZAF-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.822, p=0.000\n", - "ZAF-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.747, p=0.000\n", - "ZAF-Individuals using the Internet (% of population)\n", - "Statistical=0.862, p=0.001\n", - "ZAF-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.865, p=0.001\n", - "ZAF-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.605, p=0.000\n", - "ZAF-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.844, p=0.000\n", - "ZAF-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.832, p=0.000\n", - "ZAF-Intentional homicides (per 100,000 people)\n", - "Statistical=0.857, p=0.001\n", - "ZAF-Interest payments (% of revenue)\n", - "Statistical=0.862, p=0.001\n", - "ZAF-International migrant stock (% of population)\n", - "Statistical=0.864, p=0.001\n", - "ZAF-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.842, p=0.000\n", - "ZAF-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.791, p=0.000\n", - "ZAF-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.823, p=0.000\n", - "ZAF-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.790, p=0.000\n", - "ZAF-Land area (sq. km)\n", - "Statistical=0.828, p=0.000\n", - "ZAF-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.824, p=0.000\n", - "ZAF-Land under cereal production (hectares)\n", - "Statistical=0.822, p=0.000\n", - "ZAF-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.933, p=0.049\n", - "ZAF-Lifetime risk of maternal death (%)\n", - "Statistical=0.902, p=0.007\n", - "ZAF-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.933, p=0.046\n", - "ZAF-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.887, p=0.003\n", - "ZAF-Livestock production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=0.926, p=0.030\n", - "ZAF-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.779, p=0.000\n", - "ZAF-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.915, p=0.015\n", - "ZAF-Low-birthweight babies (% of births)\n", - "Statistical=0.899, p=0.006\n", - "ZAF-Lower secondary school starting age (years)\n", - "Statistical=0.832, p=0.000\n", - "ZAF-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.821, p=0.000\n", - "ZAF-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.844, p=0.000\n", - "ZAF-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.910, p=0.011\n", - "ZAF-Marine protected areas (% of territorial waters)\n", - "Statistical=0.905, p=0.008\n", - "ZAF-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.807, p=0.000\n", - "ZAF-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.871, p=0.001\n", - "ZAF-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.840, p=0.000\n", - "ZAF-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.882, p=0.002\n", - "ZAF-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.888, p=0.003\n", - "ZAF-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Merchandise exports (current US$)\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.934, p=0.050\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.958, p=0.242\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.950, p=0.140\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.930, p=0.039\n", - "ZAF-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.890, p=0.003\n", - "ZAF-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.930, p=0.039\n", - "ZAF-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.886, p=0.003\n", - "ZAF-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.931, p=0.043\n", - "ZAF-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.903, p=0.007\n", - "ZAF-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.889, p=0.003\n", - "ZAF-Merchandise imports (current US$)\n", - "Statistical=0.845, p=0.000\n", - "ZAF-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.730, p=0.000\n", - "ZAF-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.957, p=0.224\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.905, p=0.008\n", - "ZAF-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.909, p=0.010\n", - "ZAF-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.854, p=0.001\n", - "ZAF-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.923, p=0.025\n", - "ZAF-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.903, p=0.007\n", - "ZAF-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.860, p=0.001\n", - "ZAF-Merchandise trade (% of GDP)\n", - "Statistical=0.969, p=0.460\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Methane emissions (% change from 1990)\n", - "Statistical=0.923, p=0.025\n", - "ZAF-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.923, p=0.025\n", - "ZAF-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.879, p=0.002\n", - "ZAF-Military expenditure (% of GDP)\n", - "Statistical=0.861, p=0.001\n", - "ZAF-Military expenditure (% of general government expenditure)\n", - "Statistical=0.854, p=0.001\n", - "ZAF-Military expenditure (current USD)\n", - "Statistical=0.950, p=0.142\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Mineral rents (% of GDP)\n", - "Statistical=0.527, p=0.000\n", - "ZAF-Mobile cellular subscriptions\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.874, p=0.001\n", - "ZAF-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.750, p=0.000\n", - "ZAF-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.755, p=0.000\n", - "ZAF-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.766, p=0.000\n", - "ZAF-Natural gas rents (% of GDP)\n", - "Statistical=0.834, p=0.000\n", - "ZAF-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.853, p=0.000\n", - "ZAF-Net capital account (BoP, current US$)\n", - "Statistical=0.933, p=0.049\n", - "ZAF-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.895, p=0.005\n", - "ZAF-Net financial account (BoP, current US$)\n", - "Statistical=0.982, p=0.866\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Net migration\n", - "Statistical=0.882, p=0.002\n", - "ZAF-Net primary income (BoP, current US$)\n", - "Statistical=0.882, p=0.002\n", - "ZAF-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.888, p=0.003\n", - "ZAF-Net secondary income (BoP, current US$)\n", - "Statistical=0.889, p=0.003\n", - "ZAF-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.728, p=0.000\n", - "ZAF-Net trade in goods (BoP, current US$)\n", - "Statistical=0.728, p=0.000\n", - "ZAF-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.728, p=0.000\n", - "ZAF-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.728, p=0.000\n", - "ZAF-New businesses registered (number)\n", - "Statistical=0.728, p=0.000\n", - "ZAF-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.801, p=0.000\n", - "ZAF-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.810, p=0.000\n", - "ZAF-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.839, p=0.000\n", - "ZAF-Number of deaths ages 10-14 years\n", - "Statistical=0.991, p=0.995\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Number of deaths ages 15-19 years\n", - "Statistical=0.956, p=0.211\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Number of deaths ages 20-24 years\n", - "Statistical=0.925, p=0.029\n", - "ZAF-Number of deaths ages 5-9 years\n", - "Statistical=0.920, p=0.021\n", - "ZAF-Number of infant deaths\n", - "Statistical=0.842, p=0.000\n", - "ZAF-Number of maternal deaths\n", - "Statistical=0.968, p=0.458\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Number of neonatal deaths\n", - "Statistical=0.918, p=0.018\n", - "ZAF-Number of under-five deaths\n", - "Statistical=0.902, p=0.007\n", - "ZAF-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.966, p=0.386\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.974, p=0.627\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Oil rents (% of GDP)\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.949, p=0.132\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.924, p=0.026\n", - "ZAF-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.934, p=0.050\n", - "ZAF-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.920, p=0.021\n", - "ZAF-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.888, p=0.003\n", - "ZAF-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.888, p=0.003\n", - "ZAF-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.892, p=0.004\n", - "ZAF-People using at least basic drinking water services (% of population)\n", - "Statistical=0.886, p=0.003\n", - "ZAF-People using at least basic sanitation services (% of population)\n", - "Statistical=0.932, p=0.044\n", - "ZAF-People using safely managed sanitation services (% of population)\n", - "Statistical=0.928, p=0.035\n", - "ZAF-Permanent cropland (% of land area)\n", - "Statistical=0.977, p=0.706\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Physicians (per 1,000 people)\n", - "Statistical=0.855, p=0.001\n", - "ZAF-Population ages 0-14 (% of total population)\n", - "Statistical=0.855, p=0.001\n", - "ZAF-Population ages 15-64 (% of total population)\n", - "Statistical=0.903, p=0.007\n", - "ZAF-Population ages 65 and above (% of total population)\n", - "Statistical=0.925, p=0.028\n", - "ZAF-Population density (people per sq. km of land area)\n", - "Statistical=0.977, p=0.694\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Population growth (annual %)\n", - "Statistical=0.855, p=0.001\n", - "ZAF-Population in largest city\n", - "Statistical=0.853, p=0.000\n", - "ZAF-Population in the largest city (% of urban population)\n", - "Statistical=0.883, p=0.002\n", - "ZAF-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.866, p=0.001\n", - "ZAF-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.903, p=0.007\n", - "ZAF-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.888, p=0.003\n", - "ZAF-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.896, p=0.005\n", - "ZAF-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.890, p=0.003\n", - "ZAF-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.886, p=0.003\n", - "ZAF-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.886, p=0.003\n", - "ZAF-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.892, p=0.004\n", - "ZAF-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.888, p=0.003\n", - "ZAF-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.981, p=0.820\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.850, p=0.000\n", - "ZAF-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.850, p=0.000\n", - "ZAF-Prevalence of undernourishment (% of population)\n", - "Statistical=0.904, p=0.008\n", - "ZAF-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.983, p=0.890\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Primary income payments (BoP, current US$)\n", - "Statistical=0.898, p=0.005\n", - "ZAF-Primary income receipts (BoP, current US$)\n", - "Statistical=0.850, p=0.000\n", - "ZAF-Primary school starting age (years)\n", - "Statistical=0.851, p=0.000\n", - "ZAF-Private credit bureau coverage (% of adults)\n", - "Statistical=0.872, p=0.001\n", - "ZAF-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.886, p=0.003\n", - "ZAF-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.898, p=0.005\n", - "ZAF-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.890, p=0.004\n", - "ZAF-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.959, p=0.262\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Procedures to build a warehouse (number)\n", - "Statistical=0.987, p=0.957\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Procedures to register property (number)\n", - "Statistical=0.856, p=0.001\n", - "ZAF-Profit tax (% of commercial profits)\n", - "Statistical=0.856, p=0.001\n", - "ZAF-Progression to secondary school (%)\n", - "Statistical=0.873, p=0.001\n", - "ZAF-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.866, p=0.001\n", - "ZAF-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.829, p=0.000\n", - "ZAF-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.855, p=0.001\n", - "ZAF-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.875, p=0.002\n", - "ZAF-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.840, p=0.000\n", - "ZAF-Public credit registry coverage (% of adults)\n", - "Statistical=0.848, p=0.000\n", - "ZAF-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.885, p=0.003\n", - "ZAF-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.528, p=0.000\n", - "ZAF-Rail lines (total route-km)\n", - "Statistical=0.929, p=0.036\n", - "ZAF-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.795, p=0.000\n", - "ZAF-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.860, p=0.001\n", - "ZAF-Refugee population by country or territory of asylum\n", - "Statistical=0.970, p=0.513\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Refugee population by country or territory of origin\n", - "Statistical=0.975, p=0.645\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.880, p=0.002\n", - "ZAF-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.880, p=0.002\n", - "ZAF-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.880, p=0.002\n", - "ZAF-Research and development expenditure (% of GDP)\n", - "Statistical=0.892, p=0.004\n", - "ZAF-Researchers in R&D (per million people)\n", - "Statistical=0.873, p=0.001\n", - "ZAF-Reserves and related items (BoP, current US$)\n", - "Statistical=0.895, p=0.005\n", - "ZAF-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.899, p=0.006\n", - "ZAF-Rural land area (sq. km)\n", - "Statistical=0.871, p=0.001\n", - "ZAF-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.954, p=0.187\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.960, p=0.268\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Rural population\n", - "Statistical=0.860, p=0.001\n", - "ZAF-Rural population (% of total population)\n", - "Statistical=0.860, p=0.001\n", - "ZAF-Rural population growth (annual %)\n", - "Statistical=0.860, p=0.001\n", - "ZAF-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.881, p=0.002\n", - "ZAF-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.902, p=0.007\n", - "ZAF-Scientific and technical journal articles\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.917, p=0.017\n", - "ZAF-Secure Internet servers\n", - "Statistical=0.964, p=0.346\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Secure Internet servers (per 1 million people)\n", - "Statistical=0.876, p=0.002\n", - "ZAF-Service exports (BoP, current US$)\n", - "Statistical=0.876, p=0.002\n", - "ZAF-Service imports (BoP, current US$)\n", - "Statistical=0.888, p=0.003\n", - "ZAF-Sex ratio at birth (male births per female births)\n", - "Statistical=0.887, p=0.003\n", - "ZAF-Social contributions (% of revenue)\n", - "Statistical=0.931, p=0.041\n", - "ZAF-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.951, p=0.150\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Start-up procedures to register a business (number)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.911, p=0.012\n", - "ZAF-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.881, p=0.002\n", - "ZAF-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.886, p=0.003\n", - "ZAF-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.886, p=0.003\n", - "ZAF-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.893, p=0.004\n", - "ZAF-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.891, p=0.004\n", - "ZAF-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.834, p=0.000\n", - "ZAF-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.839, p=0.000\n", - "ZAF-Surface area (sq. km)\n", - "Statistical=0.752, p=0.000\n", - "ZAF-Tax payments (number)\n", - "Statistical=0.720, p=0.000\n", - "ZAF-Tax revenue (% of GDP)\n", - "Statistical=0.965, p=0.381\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Taxes less subsidies on products (current US$)\n", - "Statistical=0.891, p=0.004\n", - "ZAF-Taxes on goods and services (% of revenue)\n", - "Statistical=0.891, p=0.004\n", - "ZAF-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.894, p=0.004\n", - "ZAF-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.895, p=0.005\n", - "ZAF-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.847, p=0.000\n", - "ZAF-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.956, p=0.208\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Time required to build a warehouse (days)\n", - "Statistical=0.891, p=0.004\n", - "ZAF-Time required to enforce a contract (days)\n", - "Statistical=0.889, p=0.003\n", - "ZAF-Time required to get electricity (days)\n", - "Statistical=0.971, p=0.541\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Time required to register property (days)\n", - "Statistical=0.892, p=0.004\n", - "ZAF-Time required to start a business (days)\n", - "Statistical=0.626, p=0.000\n", - "ZAF-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.645, p=0.000\n", - "ZAF-Time to obtain an electrical connection (days)\n", - "Statistical=0.644, p=0.000\n", - "ZAF-Time to prepare and pay taxes (hours)\n", - "Statistical=0.642, p=0.000\n", - "ZAF-Time to resolve insolvency (years)\n", - "Statistical=0.639, p=0.000\n", - "ZAF-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.661, p=0.000\n", - "ZAF-Total fisheries production (metric tons)\n", - "Statistical=0.661, p=0.000\n", - "ZAF-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.661, p=0.000\n", - "ZAF-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.623, p=0.000\n", - "ZAF-Total natural resources rents (% of GDP)\n", - "Statistical=0.879, p=0.002\n", - "ZAF-Total reserves (includes gold, current US$)\n", - "Statistical=0.824, p=0.000\n", - "ZAF-Total reserves in months of imports\n", - "Statistical=0.920, p=0.020\n", - "ZAF-Total reserves minus gold (current US$)\n", - "Statistical=0.880, p=0.002\n", - "ZAF-Total tax and contribution rate (% of profit)\n", - "Statistical=0.894, p=0.004\n", - "ZAF-Trade (% of GDP)\n", - "Statistical=0.829, p=0.000\n", - "ZAF-Trade in services (% of GDP)\n", - "Statistical=0.923, p=0.026\n", - "ZAF-Transport services (% of commercial service exports)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Transport services (% of commercial service imports)\n", - "Statistical=0.876, p=0.002\n", - "ZAF-Transport services (% of service exports, BoP)\n", - "Statistical=0.896, p=0.005\n", - "ZAF-Transport services (% of service imports, BoP)\n", - "Statistical=0.982, p=0.858\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Travel services (% of commercial service exports)\n", - "Statistical=0.873, p=0.001\n", - "ZAF-Travel services (% of commercial service imports)\n", - "Statistical=0.976, p=0.681\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Travel services (% of service exports, BoP)\n", - "Statistical=0.896, p=0.005\n", - "ZAF-Travel services (% of service imports, BoP)\n", - "Statistical=0.896, p=0.005\n", - "ZAF-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.874, p=0.001\n", - "ZAF-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.874, p=0.001\n", - "ZAF-UHC service coverage index\n", - "Statistical=0.865, p=0.001\n", - "ZAF-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.880, p=0.002\n", - "ZAF-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.917, p=0.017\n", - "ZAF-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.893, p=0.004\n", - "ZAF-Urban land area (sq. km)\n", - "Statistical=0.867, p=0.001\n", - "ZAF-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.759, p=0.000\n", - "ZAF-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.859, p=0.001\n", - "ZAF-Urban population\n", - "Statistical=0.827, p=0.000\n", - "ZAF-Urban population (% of total population)\n", - "Statistical=0.864, p=0.001\n", - "ZAF-Urban population growth (annual %)\n", - "Statistical=0.900, p=0.006\n", - "ZAF-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.900, p=0.006\n", - "ZAF-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.875, p=0.001\n", - "ZAF-GDP (current US$)+1\n", - "Statistical=0.875, p=0.001\n", - "ZAF-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-GDP (current US$)+2\n", - "Statistical=0.949, p=0.137\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-GDP (current US$)+3\n", - "Statistical=0.912, p=0.012\n", - "ZAF-GDP (current US$)+5\n", - "Statistical=0.890, p=0.003\n", - "ZAF-GDP (current US$)+8\n", - "Statistical=0.954, p=0.191\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-GDP (current US$)+13\n", - "Statistical=0.871, p=0.001\n", - "ZAF-GDP (current US$)+21\n", - "Statistical=0.871, p=0.001\n", - "ZAF-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.898, p=0.006\n", - "ZAF-Deposit interest rate (%)\n", - "Statistical=0.911, p=0.012\n", - "ZAF-Other taxes (% of revenue)\n", - "Statistical=0.977, p=0.722\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.946, p=0.111\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Taxes on international trade (% of revenue)\n", - "Statistical=0.877, p=0.002\n", - "ZAF-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.932, p=0.044\n", - "ZAF-Broad money (% of GDP)\n", - "Statistical=0.969, p=0.470\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Broad money growth (annual %)\n", - "Statistical=0.941, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Broad money to total reserves ratio\n", - "Statistical=0.973, p=0.577\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.842, p=0.000\n", - "ZAF-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.892, p=0.004\n", - "ZAF-External health expenditure (% of current health expenditure)\n", - "Statistical=0.843, p=0.000\n", - "ZAF-External health expenditure per capita (current US$)\n", - "Statistical=0.604, p=0.000\n", - "ZAF-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.812, p=0.000\n", - "ZAF-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.761, p=0.000\n", - "ZAF-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.878, p=0.002\n", - "ZAF-People practicing open defecation (% of population)\n", - "Statistical=0.795, p=0.000\n", - "ZAF-Taxes on exports (% of tax revenue)\n", - "Statistical=0.933, p=0.048\n", - "ZAF-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.852, p=0.000\n", - "ZAF-Country\n", - "Statistical=0.954, p=0.182\n", - "Data is NORMAL ( H0 not denied )\n", - "ZAF-Year\n", - "Statistical=0.802, p=0.000\n", - "ZAF-Continent\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Adjusted net national income (current US$)\n", - "Statistical=0.751, p=0.000\n", - "LBR-Adjusted net national income per capita (current US$)\n", - "Statistical=0.779, p=0.000\n", - "LBR-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.766, p=0.000\n", - "LBR-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.673, p=0.000\n", - "LBR-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.629, p=0.000\n", - "LBR-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.673, p=0.000\n", - "LBR-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.615, p=0.000\n", - "LBR-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.615, p=0.000\n", - "LBR-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.615, p=0.000\n", - "LBR-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.615, p=0.000\n", - "LBR-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Age dependency ratio (% of working-age population)\n", - "Statistical=0.615, p=0.000\n", - "LBR-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Agricultural land (% of land area)\n", - "Statistical=0.615, p=0.000\n", - "LBR-Agricultural land (sq. km)\n", - "Statistical=0.615, p=0.000\n", - "LBR-Agricultural methane emissions (% of total)\n", - "Statistical=0.887, p=0.003\n", - "LBR-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.750, p=0.000\n", - "LBR-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.664, p=0.000\n", - "LBR-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.796, p=0.000\n", - "LBR-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Aquaculture production (metric tons)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Arable land (% of land area)\n", - "Statistical=0.870, p=0.001\n", - "LBR-Arable land (hectares per person)\n", - "Statistical=0.778, p=0.000\n", - "LBR-Arable land (hectares)\n", - "Statistical=0.800, p=0.000\n", - "LBR-Armed forces personnel (% of total labor force)\n", - "Statistical=0.789, p=0.000\n", - "LBR-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.799, p=0.000\n", - "LBR-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.829, p=0.000\n", - "LBR-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.790, p=0.000\n", - "LBR-Average precipitation in depth (mm per year)\n", - "Statistical=0.834, p=0.000\n", - "LBR-Average time to clear exports through customs (days)\n", - "Statistical=0.750, p=0.000\n", - "LBR-Births attended by skilled health staff (% of total)\n", - "Statistical=0.812, p=0.000\n", - "LBR-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.768, p=0.000\n", - "LBR-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.803, p=0.000\n", - "LBR-CO2 emissions (kt)\n", - "Statistical=0.624, p=0.000\n", - "LBR-CO2 emissions (metric tons per capita)\n", - "Statistical=0.730, p=0.000\n", - "LBR-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.774, p=0.000\n", - "LBR-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.801, p=0.000\n", - "LBR-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.808, p=0.000\n", - "LBR-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.752, p=0.000\n", - "LBR-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.897, p=0.005\n", - "LBR-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.909, p=0.010\n", - "LBR-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Capture fisheries production (metric tons)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Cereal production (metric tons)\n", - "Statistical=0.888, p=0.003\n", - "LBR-Cereal yield (kg per hectare)\n", - "Statistical=0.839, p=0.000\n", - "LBR-Changes in inventories (current US$)\n", - "Statistical=0.897, p=0.005\n", - "LBR-Chemicals (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Children out of school (% of primary school age)\n", - "Statistical=0.933, p=0.049\n", - "LBR-Coal rents (% of GDP)\n", - "Statistical=0.933, p=0.049\n", - "LBR-Combustible renewables and waste (% of total energy)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Commercial bank branches (per 100,000 adults)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Commercial service exports (current US$)\n", - "Statistical=0.842, p=0.000\n", - "LBR-Commercial service imports (current US$)\n", - "Statistical=0.881, p=0.002\n", - "LBR-Completeness of birth registration (%)\n", - "Statistical=0.862, p=0.001\n", - "LBR-Consumer price index (2010 = 100)\n", - "Statistical=0.852, p=0.000\n", - "LBR-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Crop production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Current account balance (% of GDP)\n", - "Statistical=0.798, p=0.000\n", - "LBR-Current account balance (BoP, current US$)\n", - "Statistical=0.883, p=0.002\n", - "LBR-Current health expenditure (% of GDP)\n", - "Statistical=0.859, p=0.001\n", - "LBR-Current health expenditure per capita (current US$)\n", - "Statistical=0.859, p=0.001\n", - "LBR-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.820, p=0.000\n", - "LBR-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.820, p=0.000\n", - "LBR-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.904, p=0.008\n", - "LBR-Domestic credit to private sector (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.172, p=0.000\n", - "LBR-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.172, p=0.000\n", - "LBR-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.666, p=0.000\n", - "LBR-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.668, p=0.000\n", - "LBR-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.663, p=0.000\n", - "LBR-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.754, p=0.000\n", - "LBR-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.754, p=0.000\n", - "LBR-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Electric power consumption (kWh per capita)\n", - "Statistical=0.810, p=0.000\n", - "LBR-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.891, p=0.004\n", - "LBR-Electricity production from coal sources (% of total)\n", - "Statistical=0.810, p=0.000\n", - "LBR-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.784, p=0.000\n", - "LBR-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.755, p=0.000\n", - "LBR-Electricity production from nuclear sources (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Electricity production from oil sources (% of total)\n", - "Statistical=0.933, p=0.048\n", - "LBR-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.622, p=0.000\n", - "LBR-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.334, p=0.000\n", - "LBR-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.334, p=0.000\n", - "LBR-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.903, p=0.007\n", - "LBR-Export unit value index (2000 = 100)\n", - "Statistical=0.757, p=0.000\n", - "LBR-Export value index (2000 = 100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Export volume index (2000 = 100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Exports of goods and services (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.804, p=0.000\n", - "LBR-Exports of goods and services (current US$)\n", - "Statistical=0.787, p=0.000\n", - "LBR-External balance on goods and services (% of GDP)\n", - "Statistical=0.950, p=0.140\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-External balance on goods and services (current US$)\n", - "Statistical=0.806, p=0.000\n", - "LBR-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.837, p=0.000\n", - "LBR-Final consumption expenditure (% of GDP)\n", - "Statistical=0.837, p=0.000\n", - "LBR-Final consumption expenditure (current US$)\n", - "Statistical=0.826, p=0.000\n", - "LBR-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.806, p=0.000\n", - "LBR-Firms offering formal training (% of firms)\n", - "Statistical=0.825, p=0.000\n", - "LBR-Firms using banks to finance investment (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Firms using banks to finance working capital (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Firms with female participation in ownership (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Fixed broadband subscriptions\n", - "Statistical=0.902, p=0.007\n", - "LBR-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.825, p=0.000\n", - "LBR-Fixed telephone subscriptions\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Food exports (% of merchandise exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Food imports (% of merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Food production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Forest area (% of land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Forest area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Forest rents (% of GDP)\n", - "Statistical=0.913, p=0.014\n", - "LBR-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.864, p=0.001\n", - "LBR-Fuel exports (% of merchandise exports)\n", - "Statistical=0.856, p=0.001\n", - "LBR-Fuel imports (% of merchandise imports)\n", - "Statistical=0.862, p=0.001\n", - "LBR-GDP (current US$)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-GDP deflator (base year varies by country)\n", - "Statistical=0.962, p=0.304\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-GDP deflator: linked series (base year varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-GDP growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-GDP per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.766, p=0.000\n", - "LBR-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.715, p=0.000\n", - "LBR-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.825, p=0.000\n", - "LBR-GNI (current US$)\n", - "Statistical=0.960, p=0.280\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-GNI growth (annual %)\n", - "Statistical=0.930, p=0.039\n", - "LBR-GNI per capita growth (annual %)\n", - "Statistical=0.950, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.833, p=0.000\n", - "LBR-General government final consumption expenditure (current US$)\n", - "Statistical=0.709, p=0.000\n", - "LBR-Gini index\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Goods imports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Grants and other revenue (% of revenue)\n", - "Statistical=0.562, p=0.000\n", - "LBR-Gross capital formation (% of GDP)\n", - "Statistical=0.823, p=0.000\n", - "LBR-Gross capital formation (current US$)\n", - "Statistical=0.784, p=0.000\n", - "LBR-Gross domestic savings (% of GDP)\n", - "Statistical=0.768, p=0.000\n", - "LBR-Gross domestic savings (current US$)\n", - "Statistical=0.692, p=0.000\n", - "LBR-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.707, p=0.000\n", - "LBR-Gross fixed capital formation (current US$)\n", - "Statistical=0.707, p=0.000\n", - "LBR-Gross national expenditure (% of GDP)\n", - "Statistical=0.708, p=0.000\n", - "LBR-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.681, p=0.000\n", - "LBR-Gross savings (% of GDP)\n", - "Statistical=0.784, p=0.000\n", - "LBR-Gross savings (current US$)\n", - "Statistical=0.792, p=0.000\n", - "LBR-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.668, p=0.000\n", - "LBR-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.772, p=0.000\n", - "LBR-High-technology exports (% of manufactured exports)\n", - "Statistical=0.732, p=0.000\n", - "LBR-High-technology exports (current US$)\n", - "Statistical=0.930, p=0.039\n", - "LBR-Hospital beds (per 1,000 people)\n", - "Statistical=0.861, p=0.001\n", - "LBR-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.906, p=0.009\n", - "LBR-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.672, p=0.000\n", - "LBR-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.672, p=0.000\n", - "LBR-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.672, p=0.000\n", - "LBR-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=0.478, p=0.000\n", - "LBR-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=0.478, p=0.000\n", - "LBR-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.851, p=0.000\n", - "LBR-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.770, p=0.000\n", - "LBR-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.789, p=0.000\n", - "LBR-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-ICT goods exports (% of total goods exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-ICT goods imports (% total goods imports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.807, p=0.000\n", - "LBR-ICT service exports (BoP, current US$)\n", - "Statistical=0.852, p=0.000\n", - "LBR-Import unit value index (2000 = 100)\n", - "Statistical=0.868, p=0.001\n", - "LBR-Import value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Import volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Imports of goods and services (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.908, p=0.010\n", - "LBR-Imports of goods and services (current US$)\n", - "Statistical=0.931, p=0.043\n", - "LBR-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "LBR-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Income share held by lowest 10%\n", - "Statistical=0.798, p=0.000\n", - "LBR-Income share held by lowest 20%\n", - "Statistical=0.798, p=0.000\n", - "LBR-Income share held by second 20%\n", - "Statistical=0.862, p=0.001\n", - "LBR-Income share held by third 20%\n", - "Statistical=0.874, p=0.001\n", - "LBR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.913, p=0.013\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "LBR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.797, p=0.000\n", - "LBR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.815, p=0.000\n", - "LBR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.866, p=0.001\n", - "LBR-Individuals using the Internet (% of population)\n", - "Statistical=0.871, p=0.001\n", - "LBR-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.890, p=0.004\n", - "LBR-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.448, p=0.000\n", - "LBR-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Intentional homicides (per 100,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Interest payments (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-International migrant stock (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Labor tax and contributions (% of commercial profits)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Land area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Land under cereal production (hectares)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Lifetime risk of maternal death (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Livestock production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.851, p=0.000\n", - "LBR-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.956, p=0.209\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Low-birthweight babies (% of births)\n", - "Statistical=0.920, p=0.021\n", - "LBR-Lower secondary school starting age (years)\n", - "Statistical=0.918, p=0.019\n", - "LBR-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.920, p=0.020\n", - "LBR-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.929, p=0.036\n", - "LBR-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.883, p=0.002\n", - "LBR-Marine protected areas (% of territorial waters)\n", - "Statistical=0.927, p=0.033\n", - "LBR-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.912, p=0.013\n", - "LBR-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.919, p=0.020\n", - "LBR-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.908, p=0.010\n", - "LBR-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.795, p=0.000\n", - "LBR-Merchandise exports (current US$)\n", - "Statistical=0.918, p=0.018\n", - "LBR-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.819, p=0.000\n", - "LBR-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.852, p=0.000\n", - "LBR-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.817, p=0.000\n", - "LBR-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.775, p=0.000\n", - "LBR-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.883, p=0.002\n", - "LBR-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.774, p=0.000\n", - "LBR-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.850, p=0.000\n", - "LBR-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.775, p=0.000\n", - "LBR-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Merchandise imports (current US$)\n", - "Statistical=0.846, p=0.000\n", - "LBR-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.749, p=0.000\n", - "LBR-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.823, p=0.000\n", - "LBR-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.951, p=0.159\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.849, p=0.000\n", - "LBR-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.773, p=0.000\n", - "LBR-Merchandise trade (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Methane emissions (% change from 1990)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Military expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Military expenditure (% of general government expenditure)\n", - "Statistical=0.793, p=0.000\n", - "LBR-Military expenditure (current USD)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Mineral rents (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Mobile cellular subscriptions\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.876, p=0.002\n", - "LBR-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.820, p=0.000\n", - "LBR-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.815, p=0.000\n", - "LBR-Natural gas rents (% of GDP)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Net barter terms of trade index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Net capital account (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Net errors and omissions (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Net financial account (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Net migration\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Net primary income (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Net secondary income (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.667, p=0.000\n", - "LBR-Net trade in goods (BoP, current US$)\n", - "Statistical=0.667, p=0.000\n", - "LBR-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.667, p=0.000\n", - "LBR-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.667, p=0.000\n", - "LBR-New businesses registered (number)\n", - "Statistical=0.667, p=0.000\n", - "LBR-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.633, p=0.000\n", - "LBR-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.633, p=0.000\n", - "LBR-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.966, p=0.397\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Number of deaths ages 10-14 years\n", - "Statistical=0.962, p=0.303\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Number of deaths ages 15-19 years\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Number of deaths ages 20-24 years\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Number of deaths ages 5-9 years\n", - "Statistical=0.931, p=0.042\n", - "LBR-Number of infant deaths\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Number of maternal deaths\n", - "Statistical=0.534, p=0.000\n", - "LBR-Number of neonatal deaths\n", - "Statistical=0.854, p=0.001\n", - "LBR-Number of under-five deaths\n", - "Statistical=0.974, p=0.624\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.874, p=0.001\n", - "LBR-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.961, p=0.298\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Oil rents (% of GDP)\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.904, p=0.008\n", - "LBR-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.861, p=0.001\n", - "LBR-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.861, p=0.001\n", - "LBR-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.754, p=0.000\n", - "LBR-People using at least basic drinking water services (% of population)\n", - "Statistical=0.754, p=0.000\n", - "LBR-People using at least basic sanitation services (% of population)\n", - "Statistical=0.793, p=0.000\n", - "LBR-People using safely managed sanitation services (% of population)\n", - "Statistical=0.793, p=0.000\n", - "LBR-Permanent cropland (% of land area)\n", - "Statistical=0.919, p=0.020\n", - "LBR-Physicians (per 1,000 people)\n", - "Statistical=0.852, p=0.000\n", - "LBR-Population ages 0-14 (% of total population)\n", - "Statistical=0.852, p=0.000\n", - "LBR-Population ages 15-64 (% of total population)\n", - "Statistical=0.790, p=0.000\n", - "LBR-Population ages 65 and above (% of total population)\n", - "Statistical=0.790, p=0.000\n", - "LBR-Population density (people per sq. km of land area)\n", - "Statistical=0.928, p=0.035\n", - "LBR-Population growth (annual %)\n", - "Statistical=0.852, p=0.000\n", - "LBR-Population in largest city\n", - "Statistical=0.859, p=0.001\n", - "LBR-Population in the largest city (% of urban population)\n", - "Statistical=0.856, p=0.001\n", - "LBR-Population in urban agglomerations of more than 1 million\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.861, p=0.001\n", - "LBR-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.782, p=0.000\n", - "LBR-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.754, p=0.000\n", - "LBR-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Pregnant women receiving prenatal care (%)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.760, p=0.000\n", - "LBR-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.760, p=0.000\n", - "LBR-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Prevalence of current tobacco use (% of adults)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Prevalence of undernourishment (% of population)\n", - "Statistical=0.811, p=0.000\n", - "LBR-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Primary income payments (BoP, current US$)\n", - "Statistical=0.792, p=0.000\n", - "LBR-Primary income receipts (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Primary school starting age (years)\n", - "Statistical=0.882, p=0.002\n", - "LBR-Private credit bureau coverage (% of adults)\n", - "Statistical=0.763, p=0.000\n", - "LBR-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.795, p=0.000\n", - "LBR-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.760, p=0.000\n", - "LBR-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Procedures to build a warehouse (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Procedures to register property (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Profit tax (% of commercial profits)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Progression to secondary school (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.754, p=0.000\n", - "LBR-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.750, p=0.000\n", - "LBR-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.792, p=0.000\n", - "LBR-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.628, p=0.000\n", - "LBR-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.823, p=0.000\n", - "LBR-Public credit registry coverage (% of adults)\n", - "Statistical=0.478, p=0.000\n", - "LBR-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Pump price for gasoline (US$ per liter)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Rail lines (total route-km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.879, p=0.002\n", - "LBR-Refugee population by country or territory of asylum\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Refugee population by country or territory of origin\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Renewable electricity output (% of total electricity output)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Research and development expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Researchers in R&D (per million people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Reserves and related items (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Rural land area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Rural population\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Rural population (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Rural population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.841, p=0.000\n", - "LBR-Scientific and technical journal articles\n", - "Statistical=0.846, p=0.000\n", - "LBR-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.848, p=0.000\n", - "LBR-Secure Internet servers\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Secure Internet servers (per 1 million people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Service exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Service imports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Sex ratio at birth (male births per female births)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Social contributions (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Start-up procedures to register a business (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Suicide mortality rate (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Surface area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Tax payments (number)\n", - "Statistical=0.615, p=0.000\n", - "LBR-Tax revenue (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Taxes less subsidies on products (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Taxes on goods and services (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.742, p=0.000\n", - "LBR-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.896, p=0.005\n", - "LBR-Time required to build a warehouse (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Time required to enforce a contract (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Time required to get electricity (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Time required to register property (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Time required to start a business (days)\n", - "Statistical=0.268, p=0.000\n", - "LBR-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.404, p=0.000\n", - "LBR-Time to obtain an electrical connection (days)\n", - "Statistical=0.404, p=0.000\n", - "LBR-Time to prepare and pay taxes (hours)\n", - "Statistical=0.404, p=0.000\n", - "LBR-Time to resolve insolvency (years)\n", - "Statistical=0.406, p=0.000\n", - "LBR-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.414, p=0.000\n", - "LBR-Total fisheries production (metric tons)\n", - "Statistical=0.397, p=0.000\n", - "LBR-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.401, p=0.000\n", - "LBR-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.449, p=0.000\n", - "LBR-Total natural resources rents (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Total reserves (includes gold, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Total reserves in months of imports\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Total reserves minus gold (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Total tax and contribution rate (% of profit)\n", - "Statistical=0.931, p=0.040\n", - "LBR-Trade (% of GDP)\n", - "Statistical=0.793, p=0.000\n", - "LBR-Trade in services (% of GDP)\n", - "Statistical=0.955, p=0.202\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Transport services (% of commercial service exports)\n", - "Statistical=0.876, p=0.002\n", - "LBR-Transport services (% of commercial service imports)\n", - "Statistical=0.902, p=0.007\n", - "LBR-Transport services (% of service exports, BoP)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Transport services (% of service imports, BoP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Travel services (% of commercial service exports)\n", - "Statistical=0.785, p=0.000\n", - "LBR-Travel services (% of commercial service imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Travel services (% of service exports, BoP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Travel services (% of service imports, BoP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-UHC service coverage index\n", - "Statistical=0.752, p=0.000\n", - "LBR-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.814, p=0.000\n", - "LBR-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.694, p=0.000\n", - "LBR-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.758, p=0.000\n", - "LBR-Urban land area (sq. km)\n", - "Statistical=0.745, p=0.000\n", - "LBR-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.746, p=0.000\n", - "LBR-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.751, p=0.000\n", - "LBR-Urban population\n", - "Statistical=0.834, p=0.000\n", - "LBR-Urban population (% of total population)\n", - "Statistical=0.834, p=0.000\n", - "LBR-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-GDP (current US$)+2\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-GDP (current US$)+3\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-GDP (current US$)+5\n", - "Statistical=0.776, p=0.000\n", - "LBR-GDP (current US$)+8\n", - "Statistical=0.874, p=0.001\n", - "LBR-GDP (current US$)+13\n", - "Statistical=0.745, p=0.000\n", - "LBR-GDP (current US$)+21\n", - "Statistical=0.745, p=0.000\n", - "LBR-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.714, p=0.000\n", - "LBR-Deposit interest rate (%)\n", - "Statistical=0.714, p=0.000\n", - "LBR-Other taxes (% of revenue)\n", - "Statistical=0.744, p=0.000\n", - "LBR-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.773, p=0.000\n", - "LBR-Taxes on international trade (% of revenue)\n", - "Statistical=0.773, p=0.000\n", - "LBR-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.821, p=0.000\n", - "LBR-Broad money (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Broad money growth (annual %)\n", - "Statistical=0.664, p=0.000\n", - "LBR-Broad money to total reserves ratio\n", - "Statistical=0.562, p=0.000\n", - "LBR-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.706, p=0.000\n", - "LBR-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.624, p=0.000\n", - "LBR-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-External health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-External health expenditure per capita (current US$)\n", - "Statistical=0.432, p=0.000\n", - "LBR-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.752, p=0.000\n", - "LBR-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.855, p=0.001\n", - "LBR-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.663, p=0.000\n", - "LBR-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.718, p=0.000\n", - "LBR-People practicing open defecation (% of population)\n", - "Statistical=0.771, p=0.000\n", - "LBR-Taxes on exports (% of tax revenue)\n", - "Statistical=0.859, p=0.001\n", - "LBR-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "LBR-Country\n", - "Statistical=0.688, p=0.000\n", - "LBR-Year\n", - "Statistical=0.717, p=0.000\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "LBR-Continent\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Adjusted net national income (current US$)\n", - "Statistical=0.776, p=0.000\n", - "MOZ-Adjusted net national income per capita (current US$)\n", - "Statistical=0.812, p=0.000\n", - "MOZ-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.844, p=0.000\n", - "MOZ-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.866, p=0.001\n", - "MOZ-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.740, p=0.000\n", - "MOZ-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.858, p=0.001\n", - "MOZ-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Adjusted savings: net national savings (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Age dependency ratio (% of working-age population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Agricultural land (% of land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Agricultural land (sq. km)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Agricultural methane emissions (% of total)\n", - "Statistical=0.835, p=0.000\n", - "MOZ-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.838, p=0.000\n", - "MOZ-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.829, p=0.000\n", - "MOZ-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.981, p=0.828\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.897, p=0.005\n", - "MOZ-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.920, p=0.020\n", - "MOZ-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.977, p=0.699\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Aquaculture production (metric tons)\n", - "Statistical=0.887, p=0.003\n", - "MOZ-Arable land (% of land area)\n", - "Statistical=0.956, p=0.217\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Arable land (hectares per person)\n", - "Statistical=0.833, p=0.000\n", - "MOZ-Arable land (hectares)\n", - "Statistical=0.829, p=0.000\n", - "MOZ-Armed forces personnel (% of total labor force)\n", - "Statistical=0.852, p=0.000\n", - "MOZ-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.810, p=0.000\n", - "MOZ-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.903, p=0.007\n", - "MOZ-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.812, p=0.000\n", - "MOZ-Average precipitation in depth (mm per year)\n", - "Statistical=0.850, p=0.000\n", - "MOZ-Average time to clear exports through customs (days)\n", - "Statistical=0.847, p=0.000\n", - "MOZ-Births attended by skilled health staff (% of total)\n", - "Statistical=0.905, p=0.009\n", - "MOZ-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.857, p=0.001\n", - "MOZ-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.755, p=0.000\n", - "MOZ-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.839, p=0.000\n", - "MOZ-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.784, p=0.000\n", - "MOZ-CO2 emissions (kt)\n", - "Statistical=0.846, p=0.000\n", - "MOZ-CO2 emissions (metric tons per capita)\n", - "Statistical=0.770, p=0.000\n", - "MOZ-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.766, p=0.000\n", - "MOZ-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.872, p=0.001\n", - "MOZ-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.820, p=0.000\n", - "MOZ-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.873, p=0.001\n", - "MOZ-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.945, p=0.107\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.881, p=0.002\n", - "MOZ-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.850, p=0.000\n", - "MOZ-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.835, p=0.000\n", - "MOZ-Capture fisheries production (metric tons)\n", - "Statistical=0.920, p=0.021\n", - "MOZ-Cereal production (metric tons)\n", - "Statistical=0.967, p=0.412\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Cereal yield (kg per hectare)\n", - "Statistical=0.967, p=0.413\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Changes in inventories (current US$)\n", - "Statistical=0.959, p=0.265\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Chemicals (% of value added in manufacturing)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Children out of school (% of primary school age)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Coal rents (% of GDP)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Combustible renewables and waste (% of total energy)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Commercial bank branches (per 100,000 adults)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Commercial service exports (current US$)\n", - "Statistical=0.792, p=0.000\n", - "MOZ-Commercial service imports (current US$)\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Completeness of birth registration (%)\n", - "Statistical=0.828, p=0.000\n", - "MOZ-Consumer price index (2010 = 100)\n", - "Statistical=0.963, p=0.323\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.828, p=0.000\n", - "MOZ-Crop production index (2014-2016 = 100)\n", - "Statistical=0.955, p=0.205\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Current account balance (% of GDP)\n", - "Statistical=0.950, p=0.142\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Current account balance (BoP, current US$)\n", - "Statistical=0.969, p=0.484\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Current health expenditure (% of GDP)\n", - "Statistical=0.916, p=0.017\n", - "MOZ-Current health expenditure per capita (current US$)\n", - "Statistical=0.916, p=0.017\n", - "MOZ-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.853, p=0.000\n", - "MOZ-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.874, p=0.001\n", - "MOZ-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.885, p=0.003\n", - "MOZ-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.961, p=0.302\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.906, p=0.009\n", - "MOZ-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.920, p=0.021\n", - "MOZ-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.723, p=0.000\n", - "MOZ-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.761, p=0.000\n", - "MOZ-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.820, p=0.000\n", - "MOZ-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.918, p=0.018\n", - "MOZ-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.894, p=0.004\n", - "MOZ-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.894, p=0.004\n", - "MOZ-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.841, p=0.000\n", - "MOZ-Electric power consumption (kWh per capita)\n", - "Statistical=0.813, p=0.000\n", - "MOZ-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.928, p=0.034\n", - "MOZ-Electricity production from coal sources (% of total)\n", - "Statistical=0.813, p=0.000\n", - "MOZ-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.893, p=0.004\n", - "MOZ-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.565, p=0.000\n", - "MOZ-Electricity production from nuclear sources (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Electricity production from oil sources (% of total)\n", - "Statistical=0.507, p=0.000\n", - "MOZ-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.766, p=0.000\n", - "MOZ-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.718, p=0.000\n", - "MOZ-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.826, p=0.000\n", - "MOZ-Energy related methane emissions (% of total)\n", - "Statistical=0.803, p=0.000\n", - "MOZ-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.896, p=0.005\n", - "MOZ-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.848, p=0.000\n", - "MOZ-Export unit value index (2000 = 100)\n", - "Statistical=0.777, p=0.000\n", - "MOZ-Export value index (2000 = 100)\n", - "Statistical=0.761, p=0.000\n", - "MOZ-Export volume index (2000 = 100)\n", - "Statistical=0.784, p=0.000\n", - "MOZ-Exports of goods and services (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.867, p=0.001\n", - "MOZ-Exports of goods and services (current US$)\n", - "Statistical=0.778, p=0.000\n", - "MOZ-External balance on goods and services (% of GDP)\n", - "Statistical=0.953, p=0.180\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-External balance on goods and services (current US$)\n", - "Statistical=0.898, p=0.006\n", - "MOZ-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.916, p=0.016\n", - "MOZ-Final consumption expenditure (% of GDP)\n", - "Statistical=0.916, p=0.016\n", - "MOZ-Final consumption expenditure (current US$)\n", - "Statistical=0.892, p=0.004\n", - "MOZ-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.790, p=0.000\n", - "MOZ-Firms offering formal training (% of firms)\n", - "Statistical=0.812, p=0.000\n", - "MOZ-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.867, p=0.001\n", - "MOZ-Firms using banks to finance working capital (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Firms with female participation in ownership (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Fixed broadband subscriptions\n", - "Statistical=0.921, p=0.023\n", - "MOZ-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.835, p=0.000\n", - "MOZ-Fixed telephone subscriptions\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.858, p=0.001\n", - "MOZ-Food exports (% of merchandise exports)\n", - "Statistical=0.911, p=0.012\n", - "MOZ-Food imports (% of merchandise imports)\n", - "Statistical=0.716, p=0.000\n", - "MOZ-Food production index (2014-2016 = 100)\n", - "Statistical=0.811, p=0.000\n", - "MOZ-Forest area (% of land area)\n", - "Statistical=0.889, p=0.003\n", - "MOZ-Forest area (sq. km)\n", - "Statistical=0.844, p=0.000\n", - "MOZ-Forest rents (% of GDP)\n", - "Statistical=0.829, p=0.000\n", - "MOZ-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.850, p=0.000\n", - "MOZ-Fuel exports (% of merchandise exports)\n", - "Statistical=0.819, p=0.000\n", - "MOZ-Fuel imports (% of merchandise imports)\n", - "Statistical=0.852, p=0.000\n", - "MOZ-GDP (current US$)\n", - "Statistical=0.928, p=0.035\n", - "MOZ-GDP deflator (base year varies by country)\n", - "Statistical=0.962, p=0.310\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-GDP deflator: linked series (base year varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-GDP growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-GDP per capita (current US$)\n", - "Statistical=0.713, p=0.000\n", - "MOZ-GDP per capita growth (annual %)\n", - "Statistical=0.662, p=0.000\n", - "MOZ-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.863, p=0.001\n", - "MOZ-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.857, p=0.001\n", - "MOZ-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.853, p=0.000\n", - "MOZ-GNI (current US$)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-GNI growth (annual %)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-GNI per capita growth (annual %)\n", - "Statistical=0.921, p=0.023\n", - "MOZ-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-General government final consumption expenditure (current US$)\n", - "Statistical=0.913, p=0.013\n", - "MOZ-Gini index\n", - "Statistical=0.971, p=0.532\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Goods exports (BoP, current US$)\n", - "Statistical=0.647, p=0.000\n", - "MOZ-Goods imports (BoP, current US$)\n", - "Statistical=0.926, p=0.031\n", - "MOZ-Grants and other revenue (% of revenue)\n", - "Statistical=0.756, p=0.000\n", - "MOZ-Gross capital formation (% of GDP)\n", - "Statistical=0.767, p=0.000\n", - "MOZ-Gross capital formation (current US$)\n", - "Statistical=0.736, p=0.000\n", - "MOZ-Gross domestic savings (% of GDP)\n", - "Statistical=0.707, p=0.000\n", - "MOZ-Gross domestic savings (current US$)\n", - "Statistical=0.770, p=0.000\n", - "MOZ-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.681, p=0.000\n", - "MOZ-Gross fixed capital formation (current US$)\n", - "Statistical=0.607, p=0.000\n", - "MOZ-Gross national expenditure (% of GDP)\n", - "Statistical=0.607, p=0.000\n", - "MOZ-Gross national expenditure (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.744, p=0.000\n", - "MOZ-Gross savings (% of GDP)\n", - "Statistical=0.763, p=0.000\n", - "MOZ-Gross savings (current US$)\n", - "Statistical=0.767, p=0.000\n", - "MOZ-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.700, p=0.000\n", - "MOZ-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.875, p=0.001\n", - "MOZ-High-technology exports (% of manufactured exports)\n", - "Statistical=0.718, p=0.000\n", - "MOZ-High-technology exports (current US$)\n", - "Statistical=0.881, p=0.002\n", - "MOZ-Hospital beds (per 1,000 people)\n", - "Statistical=0.909, p=0.010\n", - "MOZ-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.911, p=0.012\n", - "MOZ-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.776, p=0.000\n", - "MOZ-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.776, p=0.000\n", - "MOZ-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.776, p=0.000\n", - "MOZ-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.949, p=0.132\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.732, p=0.000\n", - "MOZ-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.719, p=0.000\n", - "MOZ-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.721, p=0.000\n", - "MOZ-ICT goods exports (% of total goods exports)\n", - "Statistical=0.697, p=0.000\n", - "MOZ-ICT goods imports (% total goods imports)\n", - "Statistical=0.814, p=0.000\n", - "MOZ-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.858, p=0.001\n", - "MOZ-ICT service exports (BoP, current US$)\n", - "Statistical=0.826, p=0.000\n", - "MOZ-Import unit value index (2000 = 100)\n", - "Statistical=0.815, p=0.000\n", - "MOZ-Import value index (2000 = 100)\n", - "Statistical=0.696, p=0.000\n", - "MOZ-Import volume index (2000 = 100)\n", - "Statistical=0.653, p=0.000\n", - "MOZ-Imports of goods and services (% of GDP)\n", - "Statistical=0.923, p=0.025\n", - "MOZ-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Imports of goods and services (current US$)\n", - "Statistical=0.868, p=0.001\n", - "MOZ-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "MOZ-Income share held by highest 10%\n", - "Statistical=0.519, p=0.000\n", - "MOZ-Income share held by highest 20%\n", - "Statistical=0.806, p=0.000\n", - "MOZ-Income share held by lowest 10%\n", - "Statistical=0.856, p=0.001\n", - "MOZ-Income share held by lowest 20%\n", - "Statistical=0.857, p=0.001\n", - "MOZ-Income share held by second 20%\n", - "Statistical=0.786, p=0.000\n", - "MOZ-Income share held by third 20%\n", - "Statistical=0.813, p=0.000\n", - "MOZ-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.841, p=0.000\n", - "MOZ-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.855, p=0.001\n", - "MOZ-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.810, p=0.000\n", - "MOZ-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.842, p=0.000\n", - "MOZ-Individuals using the Internet (% of population)\n", - "Statistical=0.733, p=0.000\n", - "MOZ-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.655, p=0.000\n", - "MOZ-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.476, p=0.000\n", - "MOZ-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.783, p=0.000\n", - "MOZ-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.714, p=0.000\n", - "MOZ-Intentional homicides (per 100,000 people)\n", - "Statistical=0.791, p=0.000\n", - "MOZ-Interest payments (% of revenue)\n", - "Statistical=0.764, p=0.000\n", - "MOZ-International migrant stock (% of population)\n", - "Statistical=0.602, p=0.000\n", - "MOZ-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.749, p=0.000\n", - "MOZ-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.682, p=0.000\n", - "MOZ-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.690, p=0.000\n", - "MOZ-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.680, p=0.000\n", - "MOZ-Land area (sq. km)\n", - "Statistical=0.761, p=0.000\n", - "MOZ-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.641, p=0.000\n", - "MOZ-Land under cereal production (hectares)\n", - "Statistical=0.709, p=0.000\n", - "MOZ-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.723, p=0.000\n", - "MOZ-Lifetime risk of maternal death (%)\n", - "Statistical=0.870, p=0.001\n", - "MOZ-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.756, p=0.000\n", - "MOZ-Livestock production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.639, p=0.000\n", - "MOZ-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.756, p=0.000\n", - "MOZ-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.923, p=0.025\n", - "MOZ-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.902, p=0.007\n", - "MOZ-Low-birthweight babies (% of births)\n", - "Statistical=0.925, p=0.028\n", - "MOZ-Lower secondary school starting age (years)\n", - "Statistical=0.895, p=0.005\n", - "MOZ-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.880, p=0.002\n", - "MOZ-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.905, p=0.008\n", - "MOZ-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.841, p=0.000\n", - "MOZ-Marine protected areas (% of territorial waters)\n", - "Statistical=0.743, p=0.000\n", - "MOZ-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.861, p=0.001\n", - "MOZ-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.914, p=0.014\n", - "MOZ-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.900, p=0.006\n", - "MOZ-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.867, p=0.001\n", - "MOZ-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.800, p=0.000\n", - "MOZ-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Merchandise exports (current US$)\n", - "Statistical=0.959, p=0.261\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.853, p=0.000\n", - "MOZ-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.857, p=0.001\n", - "MOZ-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.853, p=0.000\n", - "MOZ-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.879, p=0.002\n", - "MOZ-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.865, p=0.001\n", - "MOZ-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.917, p=0.017\n", - "MOZ-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.809, p=0.000\n", - "MOZ-Merchandise imports (current US$)\n", - "Statistical=0.789, p=0.000\n", - "MOZ-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.857, p=0.001\n", - "MOZ-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.906, p=0.009\n", - "MOZ-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.845, p=0.000\n", - "MOZ-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.573, p=0.000\n", - "MOZ-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.958, p=0.238\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.875, p=0.002\n", - "MOZ-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.885, p=0.003\n", - "MOZ-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.868, p=0.001\n", - "MOZ-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.910, p=0.011\n", - "MOZ-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.785, p=0.000\n", - "MOZ-Merchandise trade (% of GDP)\n", - "Statistical=0.975, p=0.639\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Methane emissions (% change from 1990)\n", - "Statistical=0.900, p=0.006\n", - "MOZ-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.900, p=0.006\n", - "MOZ-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.797, p=0.000\n", - "MOZ-Military expenditure (% of GDP)\n", - "Statistical=0.883, p=0.002\n", - "MOZ-Military expenditure (% of general government expenditure)\n", - "Statistical=0.789, p=0.000\n", - "MOZ-Military expenditure (current USD)\n", - "Statistical=0.961, p=0.287\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Mineral rents (% of GDP)\n", - "Statistical=0.551, p=0.000\n", - "MOZ-Mobile cellular subscriptions\n", - "Statistical=0.733, p=0.000\n", - "MOZ-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.768, p=0.000\n", - "MOZ-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.818, p=0.000\n", - "MOZ-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.827, p=0.000\n", - "MOZ-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.831, p=0.000\n", - "MOZ-Natural gas rents (% of GDP)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Net barter terms of trade index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Net capital account (BoP, current US$)\n", - "Statistical=0.925, p=0.028\n", - "MOZ-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.890, p=0.003\n", - "MOZ-Net financial account (BoP, current US$)\n", - "Statistical=0.980, p=0.805\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Net migration\n", - "Statistical=0.873, p=0.001\n", - "MOZ-Net primary income (BoP, current US$)\n", - "Statistical=0.873, p=0.001\n", - "MOZ-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.855, p=0.001\n", - "MOZ-Net secondary income (BoP, current US$)\n", - "Statistical=0.908, p=0.010\n", - "MOZ-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.718, p=0.000\n", - "MOZ-Net trade in goods (BoP, current US$)\n", - "Statistical=0.718, p=0.000\n", - "MOZ-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.718, p=0.000\n", - "MOZ-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.718, p=0.000\n", - "MOZ-New businesses registered (number)\n", - "Statistical=0.718, p=0.000\n", - "MOZ-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.724, p=0.000\n", - "MOZ-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.746, p=0.000\n", - "MOZ-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.896, p=0.005\n", - "MOZ-Number of deaths ages 10-14 years\n", - "Statistical=0.961, p=0.294\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Number of deaths ages 15-19 years\n", - "Statistical=0.892, p=0.004\n", - "MOZ-Number of deaths ages 20-24 years\n", - "Statistical=0.970, p=0.496\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Number of deaths ages 5-9 years\n", - "Statistical=0.950, p=0.145\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Number of infant deaths\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Number of maternal deaths\n", - "Statistical=0.738, p=0.000\n", - "MOZ-Number of neonatal deaths\n", - "Statistical=0.825, p=0.000\n", - "MOZ-Number of under-five deaths\n", - "Statistical=0.787, p=0.000\n", - "MOZ-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.770, p=0.000\n", - "MOZ-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.763, p=0.000\n", - "MOZ-Oil rents (% of GDP)\n", - "Statistical=0.953, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.953, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.898, p=0.006\n", - "MOZ-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.863, p=0.001\n", - "MOZ-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.929, p=0.037\n", - "MOZ-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.977, p=0.706\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.894, p=0.004\n", - "MOZ-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.894, p=0.004\n", - "MOZ-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.854, p=0.001\n", - "MOZ-People using at least basic drinking water services (% of population)\n", - "Statistical=0.913, p=0.013\n", - "MOZ-People using at least basic sanitation services (% of population)\n", - "Statistical=0.952, p=0.162\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-People using safely managed sanitation services (% of population)\n", - "Statistical=0.952, p=0.162\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Permanent cropland (% of land area)\n", - "Statistical=0.949, p=0.131\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Physicians (per 1,000 people)\n", - "Statistical=0.896, p=0.005\n", - "MOZ-Population ages 0-14 (% of total population)\n", - "Statistical=0.896, p=0.005\n", - "MOZ-Population ages 15-64 (% of total population)\n", - "Statistical=0.897, p=0.005\n", - "MOZ-Population ages 65 and above (% of total population)\n", - "Statistical=0.954, p=0.189\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Population density (people per sq. km of land area)\n", - "Statistical=0.956, p=0.212\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Population growth (annual %)\n", - "Statistical=0.896, p=0.005\n", - "MOZ-Population in largest city\n", - "Statistical=0.897, p=0.005\n", - "MOZ-Population in the largest city (% of urban population)\n", - "Statistical=0.885, p=0.003\n", - "MOZ-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.863, p=0.001\n", - "MOZ-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.878, p=0.002\n", - "MOZ-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.894, p=0.004\n", - "MOZ-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.880, p=0.002\n", - "MOZ-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.854, p=0.001\n", - "MOZ-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.889, p=0.003\n", - "MOZ-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.889, p=0.003\n", - "MOZ-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.851, p=0.000\n", - "MOZ-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.915, p=0.016\n", - "MOZ-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.971, p=0.524\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.888, p=0.003\n", - "MOZ-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.888, p=0.003\n", - "MOZ-Prevalence of undernourishment (% of population)\n", - "Statistical=0.895, p=0.005\n", - "MOZ-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.966, p=0.406\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Primary income payments (BoP, current US$)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Primary income receipts (BoP, current US$)\n", - "Statistical=0.888, p=0.003\n", - "MOZ-Primary school starting age (years)\n", - "Statistical=0.894, p=0.004\n", - "MOZ-Private credit bureau coverage (% of adults)\n", - "Statistical=0.898, p=0.006\n", - "MOZ-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.889, p=0.003\n", - "MOZ-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.877, p=0.002\n", - "MOZ-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.851, p=0.000\n", - "MOZ-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Procedures to build a warehouse (number)\n", - "Statistical=0.980, p=0.814\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Procedures to register property (number)\n", - "Statistical=0.841, p=0.000\n", - "MOZ-Profit tax (% of commercial profits)\n", - "Statistical=0.841, p=0.000\n", - "MOZ-Progression to secondary school (%)\n", - "Statistical=0.795, p=0.000\n", - "MOZ-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.885, p=0.003\n", - "MOZ-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.809, p=0.000\n", - "MOZ-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.788, p=0.000\n", - "MOZ-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.764, p=0.000\n", - "MOZ-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.861, p=0.001\n", - "MOZ-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.871, p=0.001\n", - "MOZ-Public credit registry coverage (% of adults)\n", - "Statistical=0.698, p=0.000\n", - "MOZ-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.685, p=0.000\n", - "MOZ-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.712, p=0.000\n", - "MOZ-Rail lines (total route-km)\n", - "Statistical=0.645, p=0.000\n", - "MOZ-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.785, p=0.000\n", - "MOZ-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.919, p=0.020\n", - "MOZ-Refugee population by country or territory of asylum\n", - "Statistical=0.906, p=0.009\n", - "MOZ-Refugee population by country or territory of origin\n", - "Statistical=0.964, p=0.342\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.837, p=0.000\n", - "MOZ-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.837, p=0.000\n", - "MOZ-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.766, p=0.000\n", - "MOZ-Research and development expenditure (% of GDP)\n", - "Statistical=0.815, p=0.000\n", - "MOZ-Researchers in R&D (per million people)\n", - "Statistical=0.892, p=0.004\n", - "MOZ-Reserves and related items (BoP, current US$)\n", - "Statistical=0.890, p=0.003\n", - "MOZ-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.862, p=0.001\n", - "MOZ-Rural land area (sq. km)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.871, p=0.001\n", - "MOZ-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.966, p=0.403\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Rural population\n", - "Statistical=0.789, p=0.000\n", - "MOZ-Rural population (% of total population)\n", - "Statistical=0.789, p=0.000\n", - "MOZ-Rural population growth (annual %)\n", - "Statistical=0.756, p=0.000\n", - "MOZ-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.834, p=0.000\n", - "MOZ-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.870, p=0.001\n", - "MOZ-Scientific and technical journal articles\n", - "Statistical=0.867, p=0.001\n", - "MOZ-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.869, p=0.001\n", - "MOZ-Secure Internet servers\n", - "Statistical=0.962, p=0.314\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Secure Internet servers (per 1 million people)\n", - "Statistical=0.861, p=0.001\n", - "MOZ-Service exports (BoP, current US$)\n", - "Statistical=0.861, p=0.001\n", - "MOZ-Service imports (BoP, current US$)\n", - "Statistical=0.831, p=0.000\n", - "MOZ-Sex ratio at birth (male births per female births)\n", - "Statistical=0.900, p=0.006\n", - "MOZ-Social contributions (% of revenue)\n", - "Statistical=0.948, p=0.123\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.780, p=0.000\n", - "MOZ-Start-up procedures to register a business (number)\n", - "Statistical=0.784, p=0.000\n", - "MOZ-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.753, p=0.000\n", - "MOZ-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.786, p=0.000\n", - "MOZ-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.888, p=0.003\n", - "MOZ-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.888, p=0.003\n", - "MOZ-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.853, p=0.000\n", - "MOZ-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.904, p=0.008\n", - "MOZ-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.612, p=0.000\n", - "MOZ-Surface area (sq. km)\n", - "Statistical=0.584, p=0.000\n", - "MOZ-Tax payments (number)\n", - "Statistical=0.775, p=0.000\n", - "MOZ-Tax revenue (% of GDP)\n", - "Statistical=0.903, p=0.007\n", - "MOZ-Taxes less subsidies on products (current US$)\n", - "Statistical=0.888, p=0.003\n", - "MOZ-Taxes on goods and services (% of revenue)\n", - "Statistical=0.888, p=0.003\n", - "MOZ-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.870, p=0.001\n", - "MOZ-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.910, p=0.011\n", - "MOZ-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.876, p=0.002\n", - "MOZ-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Time required to build a warehouse (days)\n", - "Statistical=0.888, p=0.003\n", - "MOZ-Time required to enforce a contract (days)\n", - "Statistical=0.712, p=0.000\n", - "MOZ-Time required to get electricity (days)\n", - "Statistical=0.879, p=0.002\n", - "MOZ-Time required to register property (days)\n", - "Statistical=0.870, p=0.001\n", - "MOZ-Time required to start a business (days)\n", - "Statistical=0.369, p=0.000\n", - "MOZ-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Time to obtain an electrical connection (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Time to prepare and pay taxes (hours)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Time to resolve insolvency (years)\n", - "Statistical=0.385, p=0.000\n", - "MOZ-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Total fisheries production (metric tons)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.294, p=0.000\n", - "MOZ-Total natural resources rents (% of GDP)\n", - "Statistical=0.848, p=0.000\n", - "MOZ-Total reserves (includes gold, current US$)\n", - "Statistical=0.905, p=0.008\n", - "MOZ-Total reserves in months of imports\n", - "Statistical=0.877, p=0.002\n", - "MOZ-Total reserves minus gold (current US$)\n", - "Statistical=0.787, p=0.000\n", - "MOZ-Total tax and contribution rate (% of profit)\n", - "Statistical=0.897, p=0.005\n", - "MOZ-Trade (% of GDP)\n", - "Statistical=0.701, p=0.000\n", - "MOZ-Trade in services (% of GDP)\n", - "Statistical=0.901, p=0.006\n", - "MOZ-Transport services (% of commercial service exports)\n", - "Statistical=0.849, p=0.000\n", - "MOZ-Transport services (% of commercial service imports)\n", - "Statistical=0.862, p=0.001\n", - "MOZ-Transport services (% of service exports, BoP)\n", - "Statistical=0.899, p=0.006\n", - "MOZ-Transport services (% of service imports, BoP)\n", - "Statistical=0.877, p=0.002\n", - "MOZ-Travel services (% of commercial service exports)\n", - "Statistical=0.753, p=0.000\n", - "MOZ-Travel services (% of commercial service imports)\n", - "Statistical=0.982, p=0.856\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Travel services (% of service exports, BoP)\n", - "Statistical=0.804, p=0.000\n", - "MOZ-Travel services (% of service imports, BoP)\n", - "Statistical=0.804, p=0.000\n", - "MOZ-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.774, p=0.000\n", - "MOZ-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.823, p=0.000\n", - "MOZ-UHC service coverage index\n", - "Statistical=0.761, p=0.000\n", - "MOZ-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.813, p=0.000\n", - "MOZ-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.917, p=0.018\n", - "MOZ-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.887, p=0.003\n", - "MOZ-Urban land area (sq. km)\n", - "Statistical=0.820, p=0.000\n", - "MOZ-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.882, p=0.002\n", - "MOZ-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.848, p=0.000\n", - "MOZ-Urban population\n", - "Statistical=0.820, p=0.000\n", - "MOZ-Urban population (% of total population)\n", - "Statistical=0.796, p=0.000\n", - "MOZ-Urban population growth (annual %)\n", - "Statistical=0.713, p=0.000\n", - "MOZ-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.713, p=0.000\n", - "MOZ-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.713, p=0.000\n", - "MOZ-GDP (current US$)+1\n", - "Statistical=0.713, p=0.000\n", - "MOZ-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-GDP (current US$)+2\n", - "Statistical=0.795, p=0.000\n", - "MOZ-GDP (current US$)+3\n", - "Statistical=0.844, p=0.000\n", - "MOZ-GDP (current US$)+5\n", - "Statistical=0.959, p=0.264\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-GDP (current US$)+8\n", - "Statistical=0.981, p=0.839\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-GDP (current US$)+13\n", - "Statistical=0.904, p=0.008\n", - "MOZ-GDP (current US$)+21\n", - "Statistical=0.904, p=0.008\n", - "MOZ-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.836, p=0.000\n", - "MOZ-Deposit interest rate (%)\n", - "Statistical=0.927, p=0.031\n", - "MOZ-Other taxes (% of revenue)\n", - "Statistical=0.891, p=0.004\n", - "MOZ-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.950, p=0.147\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Taxes on international trade (% of revenue)\n", - "Statistical=0.950, p=0.147\n", - "Data is NORMAL ( H0 not denied )\n", - "MOZ-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.816, p=0.000\n", - "MOZ-Broad money (% of GDP)\n", - "Statistical=0.705, p=0.000\n", - "MOZ-Broad money growth (annual %)\n", - "Statistical=0.816, p=0.000\n", - "MOZ-Broad money to total reserves ratio\n", - "Statistical=0.695, p=0.000\n", - "MOZ-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.813, p=0.000\n", - "MOZ-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.740, p=0.000\n", - "MOZ-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.623, p=0.000\n", - "MOZ-External health expenditure (% of current health expenditure)\n", - "Statistical=0.596, p=0.000\n", - "MOZ-External health expenditure per capita (current US$)\n", - "Statistical=0.715, p=0.000\n", - "MOZ-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.888, p=0.003\n", - "MOZ-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.839, p=0.000\n", - "MOZ-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.758, p=0.000\n", - "MOZ-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.857, p=0.001\n", - "MOZ-People practicing open defecation (% of population)\n", - "Statistical=0.777, p=0.000\n", - "MOZ-Taxes on exports (% of tax revenue)\n", - "Statistical=0.896, p=0.005\n", - "MOZ-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.861, p=0.001\n", - "MOZ-Country\n", - "Statistical=0.762, p=0.000\n", - "MOZ-Year\n", - "Statistical=0.834, p=0.000\n", - "MOZ-Continent\n", - "Statistical=0.827, p=0.000\n", - "CMR-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Adjusted net national income (current US$)\n", - "Statistical=0.807, p=0.000\n", - "CMR-Adjusted net national income per capita (current US$)\n", - "Statistical=0.808, p=0.000\n", - "CMR-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.800, p=0.000\n", - "CMR-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.963, p=0.324\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.563, p=0.000\n", - "CMR-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.533, p=0.000\n", - "CMR-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.588, p=0.000\n", - "CMR-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.579, p=0.000\n", - "CMR-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.716, p=0.000\n", - "CMR-Age dependency ratio (% of working-age population)\n", - "Statistical=0.659, p=0.000\n", - "CMR-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.550, p=0.000\n", - "CMR-Agricultural land (% of land area)\n", - "Statistical=0.560, p=0.000\n", - "CMR-Agricultural land (sq. km)\n", - "Statistical=0.523, p=0.000\n", - "CMR-Agricultural methane emissions (% of total)\n", - "Statistical=0.903, p=0.007\n", - "CMR-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.924, p=0.026\n", - "CMR-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.911, p=0.012\n", - "CMR-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.962, p=0.305\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.911, p=0.012\n", - "CMR-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.868, p=0.001\n", - "CMR-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.962, p=0.303\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Aquaculture production (metric tons)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Arable land (% of land area)\n", - "Statistical=0.907, p=0.009\n", - "CMR-Arable land (hectares per person)\n", - "Statistical=0.975, p=0.655\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Arable land (hectares)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Armed forces personnel (% of total labor force)\n", - "Statistical=0.969, p=0.473\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.957, p=0.221\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.875, p=0.002\n", - "CMR-Average precipitation in depth (mm per year)\n", - "Statistical=0.972, p=0.546\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Average time to clear exports through customs (days)\n", - "Statistical=0.822, p=0.000\n", - "CMR-Births attended by skilled health staff (% of total)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.888, p=0.003\n", - "CMR-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.951, p=0.157\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.927, p=0.033\n", - "CMR-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.984, p=0.896\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-CO2 emissions (kt)\n", - "Statistical=0.902, p=0.007\n", - "CMR-CO2 emissions (metric tons per capita)\n", - "Statistical=0.807, p=0.000\n", - "CMR-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.959, p=0.254\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.963, p=0.338\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.920, p=0.021\n", - "CMR-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.897, p=0.005\n", - "CMR-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.949, p=0.133\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.622, p=0.000\n", - "CMR-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.426, p=0.000\n", - "CMR-Capture fisheries production (metric tons)\n", - "Statistical=0.538, p=0.000\n", - "CMR-Cereal production (metric tons)\n", - "Statistical=0.934, p=0.050\n", - "CMR-Cereal yield (kg per hectare)\n", - "Statistical=0.914, p=0.014\n", - "CMR-Changes in inventories (current US$)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Chemicals (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Children out of school (% of primary school age)\n", - "Statistical=0.678, p=0.000\n", - "CMR-Coal rents (% of GDP)\n", - "Statistical=0.678, p=0.000\n", - "CMR-Combustible renewables and waste (% of total energy)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.172, p=0.000\n", - "CMR-Commercial service exports (current US$)\n", - "Statistical=0.831, p=0.000\n", - "CMR-Commercial service imports (current US$)\n", - "Statistical=0.917, p=0.018\n", - "CMR-Completeness of birth registration (%)\n", - "Statistical=0.866, p=0.001\n", - "CMR-Consumer price index (2010 = 100)\n", - "Statistical=0.893, p=0.004\n", - "CMR-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.962, p=0.302\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Crop production index (2014-2016 = 100)\n", - "Statistical=0.909, p=0.011\n", - "CMR-Current account balance (% of GDP)\n", - "Statistical=0.964, p=0.345\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Current account balance (BoP, current US$)\n", - "Statistical=0.983, p=0.874\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Current health expenditure (% of GDP)\n", - "Statistical=0.950, p=0.144\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Current health expenditure per capita (current US$)\n", - "Statistical=0.950, p=0.144\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.905, p=0.009\n", - "CMR-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.905, p=0.008\n", - "CMR-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.860, p=0.001\n", - "CMR-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.869, p=0.001\n", - "CMR-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.923, p=0.025\n", - "CMR-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.963, p=0.333\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.886, p=0.003\n", - "CMR-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.749, p=0.000\n", - "CMR-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.749, p=0.000\n", - "CMR-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.749, p=0.000\n", - "CMR-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.712, p=0.000\n", - "CMR-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.712, p=0.000\n", - "CMR-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.810, p=0.000\n", - "CMR-Electric power consumption (kWh per capita)\n", - "Statistical=0.638, p=0.000\n", - "CMR-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.931, p=0.042\n", - "CMR-Electricity production from coal sources (% of total)\n", - "Statistical=0.638, p=0.000\n", - "CMR-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.913, p=0.014\n", - "CMR-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.904, p=0.008\n", - "CMR-Electricity production from nuclear sources (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Electricity production from oil sources (% of total)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.761, p=0.000\n", - "CMR-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.756, p=0.000\n", - "CMR-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.809, p=0.000\n", - "CMR-Energy related methane emissions (% of total)\n", - "Statistical=0.793, p=0.000\n", - "CMR-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.928, p=0.035\n", - "CMR-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.951, p=0.151\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Export unit value index (2000 = 100)\n", - "Statistical=0.814, p=0.000\n", - "CMR-Export value index (2000 = 100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Export volume index (2000 = 100)\n", - "Statistical=0.751, p=0.000\n", - "CMR-Exports of goods and services (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.915, p=0.015\n", - "CMR-Exports of goods and services (current US$)\n", - "Statistical=0.855, p=0.001\n", - "CMR-External balance on goods and services (% of GDP)\n", - "Statistical=0.958, p=0.239\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-External balance on goods and services (current US$)\n", - "Statistical=0.673, p=0.000\n", - "CMR-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.540, p=0.000\n", - "CMR-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Final consumption expenditure (% of GDP)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Final consumption expenditure (current US$)\n", - "Statistical=0.873, p=0.001\n", - "CMR-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.891, p=0.004\n", - "CMR-Firms offering formal training (% of firms)\n", - "Statistical=0.955, p=0.202\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.701, p=0.000\n", - "CMR-Firms using banks to finance working capital (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Firms with female participation in ownership (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Fixed broadband subscriptions\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.908, p=0.010\n", - "CMR-Fixed telephone subscriptions\n", - "Statistical=0.902, p=0.007\n", - "CMR-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Food exports (% of merchandise exports)\n", - "Statistical=0.815, p=0.000\n", - "CMR-Food imports (% of merchandise imports)\n", - "Statistical=0.592, p=0.000\n", - "CMR-Food production index (2014-2016 = 100)\n", - "Statistical=0.540, p=0.000\n", - "CMR-Forest area (% of land area)\n", - "Statistical=0.798, p=0.000\n", - "CMR-Forest area (sq. km)\n", - "Statistical=0.859, p=0.001\n", - "CMR-Forest rents (% of GDP)\n", - "Statistical=0.913, p=0.013\n", - "CMR-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.840, p=0.000\n", - "CMR-Fuel exports (% of merchandise exports)\n", - "Statistical=0.835, p=0.000\n", - "CMR-Fuel imports (% of merchandise imports)\n", - "Statistical=0.838, p=0.000\n", - "CMR-GDP (current US$)\n", - "Statistical=0.878, p=0.002\n", - "CMR-GDP deflator (base year varies by country)\n", - "Statistical=0.820, p=0.000\n", - "CMR-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.969, p=0.463\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-GDP growth (annual %)\n", - "Statistical=0.967, p=0.433\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-GDP per capita (current US$)\n", - "Statistical=0.854, p=0.000\n", - "CMR-GDP per capita growth (annual %)\n", - "Statistical=0.890, p=0.004\n", - "CMR-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.677, p=0.000\n", - "CMR-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.920, p=0.020\n", - "CMR-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.919, p=0.019\n", - "CMR-GNI (current US$)\n", - "Statistical=0.866, p=0.001\n", - "CMR-GNI growth (annual %)\n", - "Statistical=0.923, p=0.026\n", - "CMR-GNI per capita growth (annual %)\n", - "Statistical=0.958, p=0.240\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.956, p=0.208\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-General government final consumption expenditure (current US$)\n", - "Statistical=0.973, p=0.586\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Gini index\n", - "Statistical=0.952, p=0.165\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Goods imports (BoP, current US$)\n", - "Statistical=0.803, p=0.000\n", - "CMR-Grants and other revenue (% of revenue)\n", - "Statistical=0.782, p=0.000\n", - "CMR-Gross capital formation (% of GDP)\n", - "Statistical=0.921, p=0.022\n", - "CMR-Gross capital formation (current US$)\n", - "Statistical=0.945, p=0.101\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Gross domestic savings (% of GDP)\n", - "Statistical=0.890, p=0.003\n", - "CMR-Gross domestic savings (current US$)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.756, p=0.000\n", - "CMR-Gross fixed capital formation (current US$)\n", - "Statistical=0.637, p=0.000\n", - "CMR-Gross national expenditure (% of GDP)\n", - "Statistical=0.553, p=0.000\n", - "CMR-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.903, p=0.007\n", - "CMR-Gross savings (% of GDP)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Gross savings (current US$)\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.741, p=0.000\n", - "CMR-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-High-technology exports (% of manufactured exports)\n", - "Statistical=0.921, p=0.023\n", - "CMR-High-technology exports (current US$)\n", - "Statistical=0.947, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Hospital beds (per 1,000 people)\n", - "Statistical=0.919, p=0.019\n", - "CMR-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.727, p=0.000\n", - "CMR-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.728, p=0.000\n", - "CMR-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.727, p=0.000\n", - "CMR-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.867, p=0.001\n", - "CMR-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.991, p=0.995\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.967, p=0.433\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.754, p=0.000\n", - "CMR-ICT goods exports (% of total goods exports)\n", - "Statistical=0.703, p=0.000\n", - "CMR-ICT goods imports (% total goods imports)\n", - "Statistical=0.670, p=0.000\n", - "CMR-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.856, p=0.001\n", - "CMR-ICT service exports (BoP, current US$)\n", - "Statistical=0.833, p=0.000\n", - "CMR-Import unit value index (2000 = 100)\n", - "Statistical=0.841, p=0.000\n", - "CMR-Import value index (2000 = 100)\n", - "Statistical=0.922, p=0.024\n", - "CMR-Import volume index (2000 = 100)\n", - "Statistical=0.918, p=0.018\n", - "CMR-Imports of goods and services (% of GDP)\n", - "Statistical=0.920, p=0.021\n", - "CMR-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.877, p=0.002\n", - "CMR-Imports of goods and services (current US$)\n", - "Statistical=0.896, p=0.005\n", - "CMR-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=0.438, p=0.000\n", - "CMR-Income share held by fourth 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Income share held by highest 20%\n", - "Statistical=0.767, p=0.000\n", - "CMR-Income share held by lowest 10%\n", - "Statistical=0.881, p=0.002\n", - "CMR-Income share held by lowest 20%\n", - "Statistical=0.879, p=0.002\n", - "CMR-Income share held by second 20%\n", - "Statistical=0.868, p=0.001\n", - "CMR-Income share held by third 20%\n", - "Statistical=0.852, p=0.000\n", - "CMR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.913, p=0.014\n", - "CMR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.926, p=0.030\n", - "CMR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.886, p=0.003\n", - "CMR-Individuals using the Internet (% of population)\n", - "Statistical=0.812, p=0.000\n", - "CMR-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.821, p=0.000\n", - "CMR-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.454, p=0.000\n", - "CMR-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Intentional homicides (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Interest payments (% of revenue)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-International migrant stock (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CMR-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Labor tax and contributions (% of commercial profits)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Land area (sq. km)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Land under cereal production (hectares)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.823, p=0.000\n", - "CMR-Lifetime risk of maternal death (%)\n", - "Statistical=0.858, p=0.001\n", - "CMR-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.729, p=0.000\n", - "CMR-Livestock production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.776, p=0.000\n", - "CMR-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.745, p=0.000\n", - "CMR-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.908, p=0.010\n", - "CMR-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.692, p=0.000\n", - "CMR-Low-birthweight babies (% of births)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Lower secondary school starting age (years)\n", - "Statistical=0.845, p=0.000\n", - "CMR-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.840, p=0.000\n", - "CMR-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.842, p=0.000\n", - "CMR-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.818, p=0.000\n", - "CMR-Marine protected areas (% of territorial waters)\n", - "Statistical=0.822, p=0.000\n", - "CMR-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.797, p=0.000\n", - "CMR-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.858, p=0.001\n", - "CMR-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.830, p=0.000\n", - "CMR-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.855, p=0.001\n", - "CMR-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.796, p=0.000\n", - "CMR-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.888, p=0.003\n", - "CMR-Merchandise exports (current US$)\n", - "Statistical=0.930, p=0.038\n", - "CMR-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.954, p=0.190\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.898, p=0.005\n", - "CMR-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.747, p=0.000\n", - "CMR-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.697, p=0.000\n", - "CMR-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.933, p=0.048\n", - "CMR-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.697, p=0.000\n", - "CMR-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.823, p=0.000\n", - "CMR-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.698, p=0.000\n", - "CMR-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.893, p=0.004\n", - "CMR-Merchandise imports (current US$)\n", - "Statistical=0.780, p=0.000\n", - "CMR-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.827, p=0.000\n", - "CMR-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.795, p=0.000\n", - "CMR-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.857, p=0.001\n", - "CMR-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.909, p=0.011\n", - "CMR-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.882, p=0.002\n", - "CMR-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.916, p=0.016\n", - "CMR-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.961, p=0.298\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.965, p=0.370\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.972, p=0.560\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.886, p=0.003\n", - "CMR-Merchandise trade (% of GDP)\n", - "Statistical=0.961, p=0.288\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Methane emissions (% change from 1990)\n", - "Statistical=0.962, p=0.309\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.962, p=0.309\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Military expenditure (% of GDP)\n", - "Statistical=0.871, p=0.001\n", - "CMR-Military expenditure (% of general government expenditure)\n", - "Statistical=0.885, p=0.003\n", - "CMR-Military expenditure (current USD)\n", - "Statistical=0.866, p=0.001\n", - "CMR-Mineral rents (% of GDP)\n", - "Statistical=0.395, p=0.000\n", - "CMR-Mobile cellular subscriptions\n", - "Statistical=0.932, p=0.044\n", - "CMR-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.831, p=0.000\n", - "CMR-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.825, p=0.000\n", - "CMR-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.804, p=0.000\n", - "CMR-Natural gas rents (% of GDP)\n", - "Statistical=0.967, p=0.427\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Net barter terms of trade index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Net capital account (BoP, current US$)\n", - "Statistical=0.956, p=0.208\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.933, p=0.047\n", - "CMR-Net financial account (BoP, current US$)\n", - "Statistical=0.926, p=0.031\n", - "CMR-Net migration\n", - "Statistical=0.920, p=0.020\n", - "CMR-Net primary income (BoP, current US$)\n", - "Statistical=0.920, p=0.020\n", - "CMR-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.923, p=0.025\n", - "CMR-Net secondary income (BoP, current US$)\n", - "Statistical=0.881, p=0.002\n", - "CMR-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.711, p=0.000\n", - "CMR-Net trade in goods (BoP, current US$)\n", - "Statistical=0.774, p=0.000\n", - "CMR-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.799, p=0.000\n", - "CMR-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.666, p=0.000\n", - "CMR-New businesses registered (number)\n", - "Statistical=0.760, p=0.000\n", - "CMR-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.520, p=0.000\n", - "CMR-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.525, p=0.000\n", - "CMR-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.785, p=0.000\n", - "CMR-Number of deaths ages 10-14 years\n", - "Statistical=0.796, p=0.000\n", - "CMR-Number of deaths ages 15-19 years\n", - "Statistical=0.986, p=0.935\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Number of deaths ages 20-24 years\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Number of deaths ages 5-9 years\n", - "Statistical=0.874, p=0.001\n", - "CMR-Number of infant deaths\n", - "Statistical=0.746, p=0.000\n", - "CMR-Number of maternal deaths\n", - "Statistical=0.869, p=0.001\n", - "CMR-Number of neonatal deaths\n", - "Statistical=0.953, p=0.179\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Number of under-five deaths\n", - "Statistical=0.886, p=0.003\n", - "CMR-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.980, p=0.799\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.969, p=0.460\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Oil rents (% of GDP)\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.925, p=0.029\n", - "CMR-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.769, p=0.000\n", - "CMR-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.859, p=0.001\n", - "CMR-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.912, p=0.013\n", - "CMR-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.906, p=0.009\n", - "CMR-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.906, p=0.009\n", - "CMR-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.925, p=0.028\n", - "CMR-People using at least basic drinking water services (% of population)\n", - "Statistical=0.877, p=0.002\n", - "CMR-People using at least basic sanitation services (% of population)\n", - "Statistical=0.917, p=0.017\n", - "CMR-People using safely managed sanitation services (% of population)\n", - "Statistical=0.926, p=0.030\n", - "CMR-Permanent cropland (% of land area)\n", - "Statistical=0.973, p=0.587\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Physicians (per 1,000 people)\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Population ages 0-14 (% of total population)\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Population ages 15-64 (% of total population)\n", - "Statistical=0.954, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Population ages 65 and above (% of total population)\n", - "Statistical=0.894, p=0.004\n", - "CMR-Population density (people per sq. km of land area)\n", - "Statistical=0.969, p=0.481\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Population growth (annual %)\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Population in largest city\n", - "Statistical=0.912, p=0.013\n", - "CMR-Population in the largest city (% of urban population)\n", - "Statistical=0.917, p=0.017\n", - "CMR-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.839, p=0.000\n", - "CMR-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.844, p=0.000\n", - "CMR-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.906, p=0.009\n", - "CMR-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.890, p=0.004\n", - "CMR-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.919, p=0.020\n", - "CMR-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.903, p=0.008\n", - "CMR-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.903, p=0.008\n", - "CMR-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.923, p=0.024\n", - "CMR-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.874, p=0.001\n", - "CMR-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.959, p=0.265\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.932, p=0.044\n", - "CMR-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.932, p=0.044\n", - "CMR-Prevalence of undernourishment (% of population)\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.953, p=0.177\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Primary income payments (BoP, current US$)\n", - "Statistical=0.870, p=0.001\n", - "CMR-Primary income receipts (BoP, current US$)\n", - "Statistical=0.932, p=0.044\n", - "CMR-Primary school starting age (years)\n", - "Statistical=0.906, p=0.009\n", - "CMR-Private credit bureau coverage (% of adults)\n", - "Statistical=0.842, p=0.000\n", - "CMR-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.903, p=0.008\n", - "CMR-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.889, p=0.003\n", - "CMR-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.917, p=0.017\n", - "CMR-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.983, p=0.888\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Procedures to build a warehouse (number)\n", - "Statistical=0.975, p=0.647\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Procedures to register property (number)\n", - "Statistical=0.874, p=0.001\n", - "CMR-Profit tax (% of commercial profits)\n", - "Statistical=0.874, p=0.001\n", - "CMR-Progression to secondary school (%)\n", - "Statistical=0.897, p=0.005\n", - "CMR-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.882, p=0.002\n", - "CMR-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.888, p=0.003\n", - "CMR-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.884, p=0.002\n", - "CMR-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.873, p=0.001\n", - "CMR-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.932, p=0.045\n", - "CMR-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.844, p=0.000\n", - "CMR-Public credit registry coverage (% of adults)\n", - "Statistical=0.847, p=0.000\n", - "CMR-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.716, p=0.000\n", - "CMR-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.733, p=0.000\n", - "CMR-Rail lines (total route-km)\n", - "Statistical=0.928, p=0.035\n", - "CMR-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.875, p=0.001\n", - "CMR-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.962, p=0.318\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Refugee population by country or territory of asylum\n", - "Statistical=0.959, p=0.250\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Refugee population by country or territory of origin\n", - "Statistical=0.956, p=0.216\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.882, p=0.002\n", - "CMR-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.882, p=0.002\n", - "CMR-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.924, p=0.026\n", - "CMR-Research and development expenditure (% of GDP)\n", - "Statistical=0.874, p=0.001\n", - "CMR-Researchers in R&D (per million people)\n", - "Statistical=0.903, p=0.007\n", - "CMR-Reserves and related items (BoP, current US$)\n", - "Statistical=0.933, p=0.047\n", - "CMR-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Rural land area (sq. km)\n", - "Statistical=0.897, p=0.005\n", - "CMR-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.968, p=0.441\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.960, p=0.270\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Rural population\n", - "Statistical=0.883, p=0.002\n", - "CMR-Rural population (% of total population)\n", - "Statistical=0.883, p=0.002\n", - "CMR-Rural population growth (annual %)\n", - "Statistical=0.928, p=0.034\n", - "CMR-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.875, p=0.002\n", - "CMR-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.890, p=0.004\n", - "CMR-Scientific and technical journal articles\n", - "Statistical=0.858, p=0.001\n", - "CMR-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.874, p=0.001\n", - "CMR-Secure Internet servers\n", - "Statistical=0.866, p=0.001\n", - "CMR-Secure Internet servers (per 1 million people)\n", - "Statistical=0.913, p=0.014\n", - "CMR-Service exports (BoP, current US$)\n", - "Statistical=0.913, p=0.014\n", - "CMR-Service imports (BoP, current US$)\n", - "Statistical=0.922, p=0.023\n", - "CMR-Sex ratio at birth (male births per female births)\n", - "Statistical=0.876, p=0.002\n", - "CMR-Social contributions (% of revenue)\n", - "Statistical=0.913, p=0.014\n", - "CMR-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.980, p=0.797\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Start-up procedures to register a business (number)\n", - "Statistical=0.983, p=0.874\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.930, p=0.039\n", - "CMR-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.887, p=0.003\n", - "CMR-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.907, p=0.009\n", - "CMR-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.907, p=0.009\n", - "CMR-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.924, p=0.027\n", - "CMR-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.880, p=0.002\n", - "CMR-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.570, p=0.000\n", - "CMR-Surface area (sq. km)\n", - "Statistical=0.436, p=0.000\n", - "CMR-Tax payments (number)\n", - "Statistical=0.836, p=0.000\n", - "CMR-Tax revenue (% of GDP)\n", - "Statistical=0.928, p=0.035\n", - "CMR-Taxes less subsidies on products (current US$)\n", - "Statistical=0.928, p=0.034\n", - "CMR-Taxes on goods and services (% of revenue)\n", - "Statistical=0.928, p=0.034\n", - "CMR-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.927, p=0.032\n", - "CMR-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.880, p=0.002\n", - "CMR-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.956, p=0.211\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.950, p=0.145\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Time required to build a warehouse (days)\n", - "Statistical=0.928, p=0.034\n", - "CMR-Time required to enforce a contract (days)\n", - "Statistical=0.902, p=0.007\n", - "CMR-Time required to get electricity (days)\n", - "Statistical=0.877, p=0.002\n", - "CMR-Time required to register property (days)\n", - "Statistical=0.922, p=0.023\n", - "CMR-Time required to start a business (days)\n", - "Statistical=0.383, p=0.000\n", - "CMR-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.339, p=0.000\n", - "CMR-Time to obtain an electrical connection (days)\n", - "Statistical=0.637, p=0.000\n", - "CMR-Time to prepare and pay taxes (hours)\n", - "Statistical=0.419, p=0.000\n", - "CMR-Time to resolve insolvency (years)\n", - "Statistical=0.601, p=0.000\n", - "CMR-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.419, p=0.000\n", - "CMR-Total fisheries production (metric tons)\n", - "Statistical=0.623, p=0.000\n", - "CMR-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.659, p=0.000\n", - "CMR-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.656, p=0.000\n", - "CMR-Total natural resources rents (% of GDP)\n", - "Statistical=0.810, p=0.000\n", - "CMR-Total reserves (includes gold, current US$)\n", - "Statistical=0.844, p=0.000\n", - "CMR-Total reserves in months of imports\n", - "Statistical=0.926, p=0.031\n", - "CMR-Total reserves minus gold (current US$)\n", - "Statistical=0.863, p=0.001\n", - "CMR-Total tax and contribution rate (% of profit)\n", - "Statistical=0.913, p=0.013\n", - "CMR-Trade (% of GDP)\n", - "Statistical=0.843, p=0.000\n", - "CMR-Trade in services (% of GDP)\n", - "Statistical=0.953, p=0.180\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Transport services (% of commercial service exports)\n", - "Statistical=0.925, p=0.028\n", - "CMR-Transport services (% of commercial service imports)\n", - "Statistical=0.865, p=0.001\n", - "CMR-Transport services (% of service exports, BoP)\n", - "Statistical=0.919, p=0.020\n", - "CMR-Transport services (% of service imports, BoP)\n", - "Statistical=0.974, p=0.630\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Travel services (% of commercial service exports)\n", - "Statistical=0.886, p=0.003\n", - "CMR-Travel services (% of commercial service imports)\n", - "Statistical=0.978, p=0.751\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Travel services (% of service exports, BoP)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Travel services (% of service imports, BoP)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.928, p=0.034\n", - "CMR-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.883, p=0.002\n", - "CMR-UHC service coverage index\n", - "Statistical=0.888, p=0.003\n", - "CMR-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.805, p=0.000\n", - "CMR-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.773, p=0.000\n", - "CMR-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.905, p=0.008\n", - "CMR-Urban land area (sq. km)\n", - "Statistical=0.771, p=0.000\n", - "CMR-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.767, p=0.000\n", - "CMR-Urban population\n", - "Statistical=0.640, p=0.000\n", - "CMR-Urban population (% of total population)\n", - "Statistical=0.857, p=0.001\n", - "CMR-Urban population growth (annual %)\n", - "Statistical=0.799, p=0.000\n", - "CMR-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.799, p=0.000\n", - "CMR-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.695, p=0.000\n", - "CMR-GDP (current US$)+1\n", - "Statistical=0.695, p=0.000\n", - "CMR-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-GDP (current US$)+2\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-GDP (current US$)+3\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-GDP (current US$)+5\n", - "Statistical=0.959, p=0.251\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-GDP (current US$)+8\n", - "Statistical=0.966, p=0.402\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-GDP (current US$)+13\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-GDP (current US$)+21\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.936, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Deposit interest rate (%)\n", - "Statistical=0.872, p=0.001\n", - "CMR-Other taxes (% of revenue)\n", - "Statistical=0.906, p=0.009\n", - "CMR-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.956, p=0.209\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Taxes on international trade (% of revenue)\n", - "Statistical=0.956, p=0.215\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Broad money (% of GDP)\n", - "Statistical=0.955, p=0.195\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Broad money growth (annual %)\n", - "Statistical=0.972, p=0.549\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Broad money to total reserves ratio\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.971, p=0.532\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.926, p=0.030\n", - "CMR-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.910, p=0.011\n", - "CMR-External health expenditure (% of current health expenditure)\n", - "Statistical=0.910, p=0.011\n", - "CMR-External health expenditure per capita (current US$)\n", - "Statistical=0.683, p=0.000\n", - "CMR-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.830, p=0.000\n", - "CMR-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.857, p=0.001\n", - "CMR-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.963, p=0.340\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.879, p=0.002\n", - "CMR-People practicing open defecation (% of population)\n", - "Statistical=0.880, p=0.002\n", - "CMR-Taxes on exports (% of tax revenue)\n", - "Statistical=0.873, p=0.001\n", - "CMR-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.703, p=0.000\n", - "CMR-Country\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "CMR-Year\n", - "Statistical=0.871, p=0.001\n", - "CMR-Continent\n", - "Statistical=0.966, p=0.400\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Adjusted net national income (current US$)\n", - "Statistical=0.652, p=0.000\n", - "NGA-Adjusted net national income per capita (current US$)\n", - "Statistical=0.683, p=0.000\n", - "NGA-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.646, p=0.000\n", - "NGA-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.951, p=0.153\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.966, p=0.404\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.981, p=0.818\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.646, p=0.000\n", - "NGA-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.577, p=0.000\n", - "NGA-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.624, p=0.000\n", - "NGA-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.646, p=0.000\n", - "NGA-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.651, p=0.000\n", - "NGA-Age dependency ratio (% of working-age population)\n", - "Statistical=0.619, p=0.000\n", - "NGA-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.644, p=0.000\n", - "NGA-Agricultural land (% of land area)\n", - "Statistical=0.618, p=0.000\n", - "NGA-Agricultural land (sq. km)\n", - "Statistical=0.635, p=0.000\n", - "NGA-Agricultural methane emissions (% of total)\n", - "Statistical=0.854, p=0.001\n", - "NGA-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.862, p=0.001\n", - "NGA-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.783, p=0.000\n", - "NGA-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.979, p=0.779\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.874, p=0.001\n", - "NGA-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.859, p=0.001\n", - "NGA-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.979, p=0.776\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Aquaculture production (metric tons)\n", - "Statistical=0.919, p=0.019\n", - "NGA-Arable land (% of land area)\n", - "Statistical=0.875, p=0.001\n", - "NGA-Arable land (hectares per person)\n", - "Statistical=0.930, p=0.040\n", - "NGA-Arable land (hectares)\n", - "Statistical=0.922, p=0.024\n", - "NGA-Armed forces personnel (% of total labor force)\n", - "Statistical=0.916, p=0.016\n", - "NGA-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.957, p=0.224\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.914, p=0.014\n", - "NGA-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.885, p=0.003\n", - "NGA-Average precipitation in depth (mm per year)\n", - "Statistical=0.950, p=0.141\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Average time to clear exports through customs (days)\n", - "Statistical=0.844, p=0.000\n", - "NGA-Births attended by skilled health staff (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.858, p=0.001\n", - "NGA-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.972, p=0.565\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.881, p=0.002\n", - "NGA-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.950, p=0.142\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-CO2 emissions (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-CO2 emissions (metric tons per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.966, p=0.409\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.954, p=0.192\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.911, p=0.012\n", - "NGA-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.875, p=0.001\n", - "NGA-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.867, p=0.001\n", - "NGA-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.964, p=0.356\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Capture fisheries production (metric tons)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Cereal production (metric tons)\n", - "Statistical=0.916, p=0.016\n", - "NGA-Cereal yield (kg per hectare)\n", - "Statistical=0.845, p=0.000\n", - "NGA-Changes in inventories (current US$)\n", - "Statistical=0.906, p=0.009\n", - "NGA-Chemicals (% of value added in manufacturing)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Children out of school (% of primary school age)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Coal rents (% of GDP)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.796, p=0.000\n", - "NGA-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.763, p=0.000\n", - "NGA-Commercial service exports (current US$)\n", - "Statistical=0.714, p=0.000\n", - "NGA-Commercial service imports (current US$)\n", - "Statistical=0.928, p=0.034\n", - "NGA-Completeness of birth registration (%)\n", - "Statistical=0.789, p=0.000\n", - "NGA-Consumer price index (2010 = 100)\n", - "Statistical=0.932, p=0.044\n", - "NGA-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.802, p=0.000\n", - "NGA-Crop production index (2014-2016 = 100)\n", - "Statistical=0.932, p=0.045\n", - "NGA-Current account balance (% of GDP)\n", - "Statistical=0.928, p=0.034\n", - "NGA-Current account balance (BoP, current US$)\n", - "Statistical=0.922, p=0.024\n", - "NGA-Current health expenditure (% of GDP)\n", - "Statistical=0.882, p=0.002\n", - "NGA-Current health expenditure per capita (current US$)\n", - "Statistical=0.882, p=0.002\n", - "NGA-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.853, p=0.000\n", - "NGA-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.852, p=0.000\n", - "NGA-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.852, p=0.000\n", - "NGA-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.927, p=0.033\n", - "NGA-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.813, p=0.000\n", - "NGA-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.791, p=0.000\n", - "NGA-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.899, p=0.006\n", - "NGA-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.832, p=0.000\n", - "NGA-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.853, p=0.000\n", - "NGA-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.828, p=0.000\n", - "NGA-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.822, p=0.000\n", - "NGA-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.822, p=0.000\n", - "NGA-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.788, p=0.000\n", - "NGA-Electric power consumption (kWh per capita)\n", - "Statistical=0.904, p=0.008\n", - "NGA-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.874, p=0.001\n", - "NGA-Electricity production from coal sources (% of total)\n", - "Statistical=0.905, p=0.008\n", - "NGA-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.927, p=0.032\n", - "NGA-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.893, p=0.004\n", - "NGA-Electricity production from nuclear sources (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Electricity production from oil sources (% of total)\n", - "Statistical=0.883, p=0.002\n", - "NGA-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.728, p=0.000\n", - "NGA-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.694, p=0.000\n", - "NGA-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.791, p=0.000\n", - "NGA-Energy related methane emissions (% of total)\n", - "Statistical=0.729, p=0.000\n", - "NGA-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.860, p=0.001\n", - "NGA-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.877, p=0.002\n", - "NGA-Export unit value index (2000 = 100)\n", - "Statistical=0.964, p=0.349\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Export value index (2000 = 100)\n", - "Statistical=0.736, p=0.000\n", - "NGA-Export volume index (2000 = 100)\n", - "Statistical=0.811, p=0.000\n", - "NGA-Exports of goods and services (% of GDP)\n", - "Statistical=0.771, p=0.000\n", - "NGA-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.878, p=0.002\n", - "NGA-Exports of goods and services (current US$)\n", - "Statistical=0.801, p=0.000\n", - "NGA-External balance on goods and services (% of GDP)\n", - "Statistical=0.974, p=0.617\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-External balance on goods and services (current US$)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.511, p=0.000\n", - "NGA-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.879, p=0.002\n", - "NGA-Final consumption expenditure (% of GDP)\n", - "Statistical=0.879, p=0.002\n", - "NGA-Final consumption expenditure (current US$)\n", - "Statistical=0.844, p=0.000\n", - "NGA-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.924, p=0.027\n", - "NGA-Firms offering formal training (% of firms)\n", - "Statistical=0.963, p=0.338\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.917, p=0.017\n", - "NGA-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.861, p=0.001\n", - "NGA-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.860, p=0.001\n", - "NGA-Fixed broadband subscriptions\n", - "Statistical=0.898, p=0.006\n", - "NGA-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.843, p=0.000\n", - "NGA-Fixed telephone subscriptions\n", - "Statistical=0.911, p=0.012\n", - "NGA-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.823, p=0.000\n", - "NGA-Food exports (% of merchandise exports)\n", - "Statistical=0.844, p=0.000\n", - "NGA-Food imports (% of merchandise imports)\n", - "Statistical=0.928, p=0.034\n", - "NGA-Food production index (2014-2016 = 100)\n", - "Statistical=0.923, p=0.025\n", - "NGA-Forest area (% of land area)\n", - "Statistical=0.897, p=0.005\n", - "NGA-Forest area (sq. km)\n", - "Statistical=0.921, p=0.023\n", - "NGA-Forest rents (% of GDP)\n", - "Statistical=0.949, p=0.134\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.842, p=0.000\n", - "NGA-Fuel exports (% of merchandise exports)\n", - "Statistical=0.827, p=0.000\n", - "NGA-Fuel imports (% of merchandise imports)\n", - "Statistical=0.851, p=0.000\n", - "NGA-GDP (current US$)\n", - "Statistical=0.961, p=0.299\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-GDP deflator (base year varies by country)\n", - "Statistical=0.921, p=0.022\n", - "NGA-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.851, p=0.000\n", - "NGA-GDP growth (annual %)\n", - "Statistical=0.829, p=0.000\n", - "NGA-GDP per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.452, p=0.000\n", - "NGA-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.854, p=0.001\n", - "NGA-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.862, p=0.001\n", - "NGA-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.783, p=0.000\n", - "NGA-GNI (current US$)\n", - "Statistical=0.747, p=0.000\n", - "NGA-GNI growth (annual %)\n", - "Statistical=0.718, p=0.000\n", - "NGA-GNI per capita growth (annual %)\n", - "Statistical=0.822, p=0.000\n", - "NGA-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.974, p=0.610\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-General government final consumption expenditure (current US$)\n", - "Statistical=0.967, p=0.414\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Gini index\n", - "Statistical=0.984, p=0.902\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Goods exports (BoP, current US$)\n", - "Statistical=0.853, p=0.000\n", - "NGA-Goods imports (BoP, current US$)\n", - "Statistical=0.863, p=0.001\n", - "NGA-Grants and other revenue (% of revenue)\n", - "Statistical=0.801, p=0.000\n", - "NGA-Gross capital formation (% of GDP)\n", - "Statistical=0.945, p=0.105\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Gross capital formation (current US$)\n", - "Statistical=0.877, p=0.002\n", - "NGA-Gross domestic savings (% of GDP)\n", - "Statistical=0.762, p=0.000\n", - "NGA-Gross domestic savings (current US$)\n", - "Statistical=0.964, p=0.354\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.708, p=0.000\n", - "NGA-Gross fixed capital formation (current US$)\n", - "Statistical=0.589, p=0.000\n", - "NGA-Gross national expenditure (% of GDP)\n", - "Statistical=0.603, p=0.000\n", - "NGA-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.707, p=0.000\n", - "NGA-Gross savings (% of GDP)\n", - "Statistical=0.950, p=0.146\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Gross savings (current US$)\n", - "Statistical=0.864, p=0.001\n", - "NGA-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.839, p=0.000\n", - "NGA-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.954, p=0.185\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-High-technology exports (% of manufactured exports)\n", - "Statistical=0.852, p=0.000\n", - "NGA-High-technology exports (current US$)\n", - "Statistical=0.883, p=0.002\n", - "NGA-Hospital beds (per 1,000 people)\n", - "Statistical=0.897, p=0.005\n", - "NGA-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.886, p=0.003\n", - "NGA-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.522, p=0.000\n", - "NGA-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.522, p=0.000\n", - "NGA-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.522, p=0.000\n", - "NGA-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.972, p=0.555\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.951, p=0.155\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-ICT goods exports (% of total goods exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-ICT goods imports (% total goods imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.875, p=0.002\n", - "NGA-ICT service exports (BoP, current US$)\n", - "Statistical=0.842, p=0.000\n", - "NGA-Import unit value index (2000 = 100)\n", - "Statistical=0.677, p=0.000\n", - "NGA-Import value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Import volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Imports of goods and services (% of GDP)\n", - "Statistical=0.931, p=0.043\n", - "NGA-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.875, p=0.001\n", - "NGA-Imports of goods and services (current US$)\n", - "Statistical=0.986, p=0.940\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=0.438, p=0.000\n", - "NGA-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "NGA-Income share held by highest 10%\n", - "Statistical=0.580, p=0.000\n", - "NGA-Income share held by highest 20%\n", - "Statistical=0.678, p=0.000\n", - "NGA-Income share held by lowest 10%\n", - "Statistical=0.958, p=0.244\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Income share held by lowest 20%\n", - "Statistical=0.947, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Income share held by second 20%\n", - "Statistical=0.739, p=0.000\n", - "NGA-Income share held by third 20%\n", - "Statistical=0.874, p=0.001\n", - "NGA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.857, p=0.001\n", - "NGA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.838, p=0.000\n", - "NGA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.866, p=0.001\n", - "NGA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.867, p=0.001\n", - "NGA-Individuals using the Internet (% of population)\n", - "Statistical=0.841, p=0.000\n", - "NGA-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.835, p=0.000\n", - "NGA-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.448, p=0.000\n", - "NGA-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Intentional homicides (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Interest payments (% of revenue)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-International migrant stock (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "NGA-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Labor tax and contributions (% of commercial profits)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Land area (sq. km)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Land under cereal production (hectares)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.880, p=0.002\n", - "NGA-Lifetime risk of maternal death (%)\n", - "Statistical=0.882, p=0.002\n", - "NGA-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.861, p=0.001\n", - "NGA-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.877, p=0.002\n", - "NGA-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.555, p=0.000\n", - "NGA-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.861, p=0.001\n", - "NGA-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.834, p=0.000\n", - "NGA-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Low-birthweight babies (% of births)\n", - "Statistical=0.893, p=0.004\n", - "NGA-Lower secondary school starting age (years)\n", - "Statistical=0.879, p=0.002\n", - "NGA-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.877, p=0.002\n", - "NGA-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.869, p=0.001\n", - "NGA-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Marine protected areas (% of territorial waters)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.883, p=0.002\n", - "NGA-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.891, p=0.004\n", - "NGA-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.855, p=0.001\n", - "NGA-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.682, p=0.000\n", - "NGA-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.833, p=0.000\n", - "NGA-Merchandise exports (current US$)\n", - "Statistical=0.762, p=0.000\n", - "NGA-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.707, p=0.000\n", - "NGA-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.671, p=0.000\n", - "NGA-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.676, p=0.000\n", - "NGA-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.735, p=0.000\n", - "NGA-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.632, p=0.000\n", - "NGA-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.962, p=0.313\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.639, p=0.000\n", - "NGA-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.818, p=0.000\n", - "NGA-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.637, p=0.000\n", - "NGA-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.900, p=0.006\n", - "NGA-Merchandise imports (current US$)\n", - "Statistical=0.802, p=0.000\n", - "NGA-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.679, p=0.000\n", - "NGA-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.927, p=0.033\n", - "NGA-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.842, p=0.000\n", - "NGA-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.893, p=0.004\n", - "NGA-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.873, p=0.001\n", - "NGA-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.966, p=0.397\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.897, p=0.005\n", - "NGA-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.978, p=0.734\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.916, p=0.016\n", - "NGA-Merchandise trade (% of GDP)\n", - "Statistical=0.968, p=0.441\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Methane emissions (% change from 1990)\n", - "Statistical=0.883, p=0.002\n", - "NGA-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.883, p=0.002\n", - "NGA-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.883, p=0.002\n", - "NGA-Military expenditure (% of GDP)\n", - "Statistical=0.898, p=0.005\n", - "NGA-Military expenditure (% of general government expenditure)\n", - "Statistical=0.915, p=0.015\n", - "NGA-Military expenditure (current USD)\n", - "Statistical=0.962, p=0.314\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Mineral rents (% of GDP)\n", - "Statistical=0.686, p=0.000\n", - "NGA-Mobile cellular subscriptions\n", - "Statistical=0.897, p=0.005\n", - "NGA-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.903, p=0.008\n", - "NGA-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.754, p=0.000\n", - "NGA-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.833, p=0.000\n", - "NGA-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.908, p=0.010\n", - "NGA-Natural gas rents (% of GDP)\n", - "Statistical=0.962, p=0.305\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.928, p=0.034\n", - "NGA-Net capital account (BoP, current US$)\n", - "Statistical=0.866, p=0.001\n", - "NGA-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.953, p=0.175\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Net financial account (BoP, current US$)\n", - "Statistical=0.974, p=0.609\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Net migration\n", - "Statistical=0.863, p=0.001\n", - "NGA-Net primary income (BoP, current US$)\n", - "Statistical=0.863, p=0.001\n", - "NGA-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.811, p=0.000\n", - "NGA-Net secondary income (BoP, current US$)\n", - "Statistical=0.847, p=0.000\n", - "NGA-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.694, p=0.000\n", - "NGA-Net trade in goods (BoP, current US$)\n", - "Statistical=0.694, p=0.000\n", - "NGA-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.694, p=0.000\n", - "NGA-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.694, p=0.000\n", - "NGA-New businesses registered (number)\n", - "Statistical=0.694, p=0.000\n", - "NGA-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.764, p=0.000\n", - "NGA-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.765, p=0.000\n", - "NGA-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.868, p=0.001\n", - "NGA-Number of deaths ages 10-14 years\n", - "Statistical=0.911, p=0.012\n", - "NGA-Number of deaths ages 15-19 years\n", - "Statistical=0.880, p=0.002\n", - "NGA-Number of deaths ages 20-24 years\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Number of deaths ages 5-9 years\n", - "Statistical=0.950, p=0.141\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Number of infant deaths\n", - "Statistical=0.574, p=0.000\n", - "NGA-Number of maternal deaths\n", - "Statistical=0.885, p=0.003\n", - "NGA-Number of neonatal deaths\n", - "Statistical=0.961, p=0.289\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Number of under-five deaths\n", - "Statistical=0.865, p=0.001\n", - "NGA-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.958, p=0.242\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.899, p=0.006\n", - "NGA-Oil rents (% of GDP)\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.842, p=0.000\n", - "NGA-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.923, p=0.025\n", - "NGA-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.917, p=0.018\n", - "NGA-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.761, p=0.000\n", - "NGA-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.846, p=0.000\n", - "NGA-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.846, p=0.000\n", - "NGA-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.835, p=0.000\n", - "NGA-People using at least basic drinking water services (% of population)\n", - "Statistical=0.857, p=0.001\n", - "NGA-People using at least basic sanitation services (% of population)\n", - "Statistical=0.901, p=0.007\n", - "NGA-People using safely managed sanitation services (% of population)\n", - "Statistical=0.892, p=0.004\n", - "NGA-Permanent cropland (% of land area)\n", - "Statistical=0.953, p=0.177\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Physicians (per 1,000 people)\n", - "Statistical=0.864, p=0.001\n", - "NGA-Population ages 0-14 (% of total population)\n", - "Statistical=0.864, p=0.001\n", - "NGA-Population ages 15-64 (% of total population)\n", - "Statistical=0.865, p=0.001\n", - "NGA-Population ages 65 and above (% of total population)\n", - "Statistical=0.879, p=0.002\n", - "NGA-Population density (people per sq. km of land area)\n", - "Statistical=0.952, p=0.166\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Population growth (annual %)\n", - "Statistical=0.864, p=0.001\n", - "NGA-Population in largest city\n", - "Statistical=0.833, p=0.000\n", - "NGA-Population in the largest city (% of urban population)\n", - "Statistical=0.847, p=0.000\n", - "NGA-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.830, p=0.000\n", - "NGA-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.834, p=0.000\n", - "NGA-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.846, p=0.000\n", - "NGA-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.862, p=0.001\n", - "NGA-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.827, p=0.000\n", - "NGA-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.843, p=0.000\n", - "NGA-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.843, p=0.000\n", - "NGA-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.833, p=0.000\n", - "NGA-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.856, p=0.001\n", - "NGA-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.982, p=0.864\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.866, p=0.001\n", - "NGA-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.866, p=0.001\n", - "NGA-Prevalence of undernourishment (% of population)\n", - "Statistical=0.863, p=0.001\n", - "NGA-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.981, p=0.839\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Primary income payments (BoP, current US$)\n", - "Statistical=0.864, p=0.001\n", - "NGA-Primary income receipts (BoP, current US$)\n", - "Statistical=0.866, p=0.001\n", - "NGA-Primary school starting age (years)\n", - "Statistical=0.837, p=0.000\n", - "NGA-Private credit bureau coverage (% of adults)\n", - "Statistical=0.843, p=0.000\n", - "NGA-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.843, p=0.000\n", - "NGA-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.859, p=0.001\n", - "NGA-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.825, p=0.000\n", - "NGA-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.870, p=0.001\n", - "NGA-Procedures to build a warehouse (number)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Procedures to register property (number)\n", - "Statistical=0.836, p=0.000\n", - "NGA-Profit tax (% of commercial profits)\n", - "Statistical=0.836, p=0.000\n", - "NGA-Progression to secondary school (%)\n", - "Statistical=0.798, p=0.000\n", - "NGA-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.808, p=0.000\n", - "NGA-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.852, p=0.000\n", - "NGA-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.907, p=0.009\n", - "NGA-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.886, p=0.003\n", - "NGA-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.446, p=0.000\n", - "NGA-Public credit registry coverage (% of adults)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Pump price for gasoline (US$ per liter)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Rail lines (total route-km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.835, p=0.000\n", - "NGA-Refugee population by country or territory of asylum\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Refugee population by country or territory of origin\n", - "Statistical=0.975, p=0.634\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.920, p=0.020\n", - "NGA-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.920, p=0.020\n", - "NGA-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.851, p=0.000\n", - "NGA-Research and development expenditure (% of GDP)\n", - "Statistical=0.888, p=0.003\n", - "NGA-Researchers in R&D (per million people)\n", - "Statistical=0.837, p=0.000\n", - "NGA-Reserves and related items (BoP, current US$)\n", - "Statistical=0.953, p=0.175\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.881, p=0.002\n", - "NGA-Rural land area (sq. km)\n", - "Statistical=0.924, p=0.026\n", - "NGA-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.930, p=0.040\n", - "NGA-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.973, p=0.578\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Rural population\n", - "Statistical=0.924, p=0.026\n", - "NGA-Rural population (% of total population)\n", - "Statistical=0.924, p=0.026\n", - "NGA-Rural population growth (annual %)\n", - "Statistical=0.878, p=0.002\n", - "NGA-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.884, p=0.002\n", - "NGA-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.840, p=0.000\n", - "NGA-Scientific and technical journal articles\n", - "Statistical=0.793, p=0.000\n", - "NGA-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.814, p=0.000\n", - "NGA-Secure Internet servers\n", - "Statistical=0.961, p=0.291\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Secure Internet servers (per 1 million people)\n", - "Statistical=0.869, p=0.001\n", - "NGA-Service exports (BoP, current US$)\n", - "Statistical=0.871, p=0.001\n", - "NGA-Service imports (BoP, current US$)\n", - "Statistical=0.817, p=0.000\n", - "NGA-Sex ratio at birth (male births per female births)\n", - "Statistical=0.847, p=0.000\n", - "NGA-Social contributions (% of revenue)\n", - "Statistical=0.856, p=0.001\n", - "NGA-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Start-up procedures to register a business (number)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.868, p=0.001\n", - "NGA-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.909, p=0.011\n", - "NGA-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.845, p=0.000\n", - "NGA-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.845, p=0.000\n", - "NGA-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.835, p=0.000\n", - "NGA-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.857, p=0.001\n", - "NGA-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.720, p=0.000\n", - "NGA-Surface area (sq. km)\n", - "Statistical=0.632, p=0.000\n", - "NGA-Tax payments (number)\n", - "Statistical=0.737, p=0.000\n", - "NGA-Tax revenue (% of GDP)\n", - "Statistical=0.958, p=0.239\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Taxes less subsidies on products (current US$)\n", - "Statistical=0.859, p=0.001\n", - "NGA-Taxes on goods and services (% of revenue)\n", - "Statistical=0.859, p=0.001\n", - "NGA-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.804, p=0.000\n", - "NGA-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.853, p=0.000\n", - "NGA-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.873, p=0.001\n", - "NGA-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.958, p=0.244\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Time required to build a warehouse (days)\n", - "Statistical=0.859, p=0.001\n", - "NGA-Time required to enforce a contract (days)\n", - "Statistical=0.832, p=0.000\n", - "NGA-Time required to get electricity (days)\n", - "Statistical=0.977, p=0.718\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Time required to register property (days)\n", - "Statistical=0.797, p=0.000\n", - "NGA-Time required to start a business (days)\n", - "Statistical=0.404, p=0.000\n", - "NGA-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.402, p=0.000\n", - "NGA-Time to obtain an electrical connection (days)\n", - "Statistical=0.401, p=0.000\n", - "NGA-Time to prepare and pay taxes (hours)\n", - "Statistical=0.403, p=0.000\n", - "NGA-Time to resolve insolvency (years)\n", - "Statistical=0.403, p=0.000\n", - "NGA-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.401, p=0.000\n", - "NGA-Total fisheries production (metric tons)\n", - "Statistical=0.404, p=0.000\n", - "NGA-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.399, p=0.000\n", - "NGA-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.404, p=0.000\n", - "NGA-Total natural resources rents (% of GDP)\n", - "Statistical=0.685, p=0.000\n", - "NGA-Total reserves (includes gold, current US$)\n", - "Statistical=0.869, p=0.001\n", - "NGA-Total reserves in months of imports\n", - "Statistical=0.708, p=0.000\n", - "NGA-Total reserves minus gold (current US$)\n", - "Statistical=0.654, p=0.000\n", - "NGA-Total tax and contribution rate (% of profit)\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Trade (% of GDP)\n", - "Statistical=0.778, p=0.000\n", - "NGA-Trade in services (% of GDP)\n", - "Statistical=0.949, p=0.134\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Transport services (% of commercial service exports)\n", - "Statistical=0.930, p=0.040\n", - "NGA-Transport services (% of commercial service imports)\n", - "Statistical=0.836, p=0.000\n", - "NGA-Transport services (% of service exports, BoP)\n", - "Statistical=0.876, p=0.002\n", - "NGA-Transport services (% of service imports, BoP)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Travel services (% of commercial service exports)\n", - "Statistical=0.884, p=0.002\n", - "NGA-Travel services (% of commercial service imports)\n", - "Statistical=0.942, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Travel services (% of service exports, BoP)\n", - "Statistical=0.916, p=0.017\n", - "NGA-Travel services (% of service imports, BoP)\n", - "Statistical=0.916, p=0.017\n", - "NGA-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.822, p=0.000\n", - "NGA-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.881, p=0.002\n", - "NGA-UHC service coverage index\n", - "Statistical=0.875, p=0.002\n", - "NGA-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.790, p=0.000\n", - "NGA-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.830, p=0.000\n", - "NGA-Urban land area (sq. km)\n", - "Statistical=0.875, p=0.001\n", - "NGA-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.814, p=0.000\n", - "NGA-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.812, p=0.000\n", - "NGA-Urban population\n", - "Statistical=0.856, p=0.001\n", - "NGA-Urban population (% of total population)\n", - "Statistical=0.910, p=0.011\n", - "NGA-Urban population growth (annual %)\n", - "Statistical=0.795, p=0.000\n", - "NGA-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.795, p=0.000\n", - "NGA-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.741, p=0.000\n", - "NGA-GDP (current US$)+1\n", - "Statistical=0.741, p=0.000\n", - "NGA-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-GDP (current US$)+2\n", - "Statistical=0.698, p=0.000\n", - "NGA-GDP (current US$)+3\n", - "Statistical=0.453, p=0.000\n", - "NGA-GDP (current US$)+5\n", - "Statistical=0.952, p=0.159\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-GDP (current US$)+8\n", - "Statistical=0.977, p=0.694\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-GDP (current US$)+13\n", - "Statistical=0.927, p=0.033\n", - "NGA-GDP (current US$)+21\n", - "Statistical=0.927, p=0.033\n", - "NGA-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.820, p=0.000\n", - "NGA-Deposit interest rate (%)\n", - "Statistical=0.863, p=0.001\n", - "NGA-Other taxes (% of revenue)\n", - "Statistical=0.956, p=0.212\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.895, p=0.005\n", - "NGA-Taxes on international trade (% of revenue)\n", - "Statistical=0.879, p=0.002\n", - "NGA-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.978, p=0.754\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Broad money (% of GDP)\n", - "Statistical=0.812, p=0.000\n", - "NGA-Broad money growth (annual %)\n", - "Statistical=0.947, p=0.120\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Broad money to total reserves ratio\n", - "Statistical=0.859, p=0.001\n", - "NGA-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-External health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-External health expenditure per capita (current US$)\n", - "Statistical=0.589, p=0.000\n", - "NGA-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.849, p=0.000\n", - "NGA-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.819, p=0.000\n", - "NGA-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.927, p=0.032\n", - "NGA-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.849, p=0.000\n", - "NGA-People practicing open defecation (% of population)\n", - "Statistical=0.769, p=0.000\n", - "NGA-Taxes on exports (% of tax revenue)\n", - "Statistical=0.839, p=0.000\n", - "NGA-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.848, p=0.000\n", - "NGA-Country\n", - "Statistical=0.976, p=0.685\n", - "Data is NORMAL ( H0 not denied )\n", - "NGA-Year\n", - "Statistical=0.827, p=0.000\n", - "NGA-Continent\n", - "Statistical=0.858, p=0.001\n", - "GHA-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Adjusted net national income (current US$)\n", - "Statistical=0.800, p=0.000\n", - "GHA-Adjusted net national income per capita (current US$)\n", - "Statistical=0.819, p=0.000\n", - "GHA-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.796, p=0.000\n", - "GHA-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.916, p=0.016\n", - "GHA-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.888, p=0.003\n", - "GHA-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.928, p=0.034\n", - "GHA-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.604, p=0.000\n", - "GHA-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.612, p=0.000\n", - "GHA-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.595, p=0.000\n", - "GHA-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.602, p=0.000\n", - "GHA-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.615, p=0.000\n", - "GHA-Age dependency ratio (% of working-age population)\n", - "Statistical=0.583, p=0.000\n", - "GHA-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.592, p=0.000\n", - "GHA-Agricultural land (% of land area)\n", - "Statistical=0.557, p=0.000\n", - "GHA-Agricultural land (sq. km)\n", - "Statistical=0.611, p=0.000\n", - "GHA-Agricultural methane emissions (% of total)\n", - "Statistical=0.823, p=0.000\n", - "GHA-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.819, p=0.000\n", - "GHA-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.825, p=0.000\n", - "GHA-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.750, p=0.000\n", - "GHA-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.732, p=0.000\n", - "GHA-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.809, p=0.000\n", - "GHA-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.758, p=0.000\n", - "GHA-Aquaculture production (metric tons)\n", - "Statistical=0.731, p=0.000\n", - "GHA-Arable land (% of land area)\n", - "Statistical=0.827, p=0.000\n", - "GHA-Arable land (hectares per person)\n", - "Statistical=0.958, p=0.236\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Arable land (hectares)\n", - "Statistical=0.893, p=0.004\n", - "GHA-Armed forces personnel (% of total labor force)\n", - "Statistical=0.948, p=0.129\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.909, p=0.011\n", - "GHA-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.881, p=0.002\n", - "GHA-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.830, p=0.000\n", - "GHA-Average precipitation in depth (mm per year)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Average time to clear exports through customs (days)\n", - "Statistical=0.806, p=0.000\n", - "GHA-Births attended by skilled health staff (% of total)\n", - "Statistical=0.886, p=0.003\n", - "GHA-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.837, p=0.000\n", - "GHA-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.950, p=0.142\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.801, p=0.000\n", - "GHA-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.926, p=0.030\n", - "GHA-CO2 emissions (kt)\n", - "Statistical=0.970, p=0.503\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-CO2 emissions (metric tons per capita)\n", - "Statistical=0.763, p=0.000\n", - "GHA-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.925, p=0.028\n", - "GHA-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.818, p=0.000\n", - "GHA-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.918, p=0.018\n", - "GHA-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.862, p=0.001\n", - "GHA-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.903, p=0.007\n", - "GHA-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.826, p=0.000\n", - "GHA-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.837, p=0.000\n", - "GHA-Capture fisheries production (metric tons)\n", - "Statistical=0.819, p=0.000\n", - "GHA-Cereal production (metric tons)\n", - "Statistical=0.915, p=0.015\n", - "GHA-Cereal yield (kg per hectare)\n", - "Statistical=0.913, p=0.014\n", - "GHA-Changes in inventories (current US$)\n", - "Statistical=0.920, p=0.021\n", - "GHA-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.723, p=0.000\n", - "GHA-Children out of school (% of primary school age)\n", - "Statistical=0.835, p=0.000\n", - "GHA-Coal rents (% of GDP)\n", - "Statistical=0.835, p=0.000\n", - "GHA-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.833, p=0.000\n", - "GHA-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.655, p=0.000\n", - "GHA-Commercial service exports (current US$)\n", - "Statistical=0.779, p=0.000\n", - "GHA-Commercial service imports (current US$)\n", - "Statistical=0.921, p=0.022\n", - "GHA-Completeness of birth registration (%)\n", - "Statistical=0.798, p=0.000\n", - "GHA-Consumer price index (2010 = 100)\n", - "Statistical=0.919, p=0.019\n", - "GHA-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.906, p=0.009\n", - "GHA-Crop production index (2014-2016 = 100)\n", - "Statistical=0.834, p=0.000\n", - "GHA-Current account balance (% of GDP)\n", - "Statistical=0.908, p=0.010\n", - "GHA-Current account balance (BoP, current US$)\n", - "Statistical=0.740, p=0.000\n", - "GHA-Current health expenditure (% of GDP)\n", - "Statistical=0.742, p=0.000\n", - "GHA-Current health expenditure per capita (current US$)\n", - "Statistical=0.742, p=0.000\n", - "GHA-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.739, p=0.000\n", - "GHA-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.841, p=0.000\n", - "GHA-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.689, p=0.000\n", - "GHA-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.865, p=0.001\n", - "GHA-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.880, p=0.002\n", - "GHA-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.829, p=0.000\n", - "GHA-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.900, p=0.006\n", - "GHA-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.838, p=0.000\n", - "GHA-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.865, p=0.001\n", - "GHA-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.875, p=0.002\n", - "GHA-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.913, p=0.014\n", - "GHA-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.913, p=0.014\n", - "GHA-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.723, p=0.000\n", - "GHA-Electric power consumption (kWh per capita)\n", - "Statistical=0.818, p=0.000\n", - "GHA-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Electricity production from coal sources (% of total)\n", - "Statistical=0.818, p=0.000\n", - "GHA-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.956, p=0.216\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.773, p=0.000\n", - "GHA-Electricity production from nuclear sources (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Electricity production from oil sources (% of total)\n", - "Statistical=0.940, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.626, p=0.000\n", - "GHA-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.820, p=0.000\n", - "GHA-Energy related methane emissions (% of total)\n", - "Statistical=0.772, p=0.000\n", - "GHA-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.828, p=0.000\n", - "GHA-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.962, p=0.311\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Export unit value index (2000 = 100)\n", - "Statistical=0.803, p=0.000\n", - "GHA-Export value index (2000 = 100)\n", - "Statistical=0.817, p=0.000\n", - "GHA-Export volume index (2000 = 100)\n", - "Statistical=0.701, p=0.000\n", - "GHA-Exports of goods and services (% of GDP)\n", - "Statistical=0.672, p=0.000\n", - "GHA-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.967, p=0.411\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Exports of goods and services (current US$)\n", - "Statistical=0.722, p=0.000\n", - "GHA-External balance on goods and services (% of GDP)\n", - "Statistical=0.953, p=0.177\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-External balance on goods and services (current US$)\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Final consumption expenditure (% of GDP)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Final consumption expenditure (current US$)\n", - "Statistical=0.866, p=0.001\n", - "GHA-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.894, p=0.004\n", - "GHA-Firms offering formal training (% of firms)\n", - "Statistical=0.913, p=0.014\n", - "GHA-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.838, p=0.000\n", - "GHA-Firms using banks to finance working capital (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Firms with female participation in ownership (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Fixed broadband subscriptions\n", - "Statistical=0.909, p=0.011\n", - "GHA-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.881, p=0.002\n", - "GHA-Fixed telephone subscriptions\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.881, p=0.002\n", - "GHA-Food exports (% of merchandise exports)\n", - "Statistical=0.867, p=0.001\n", - "GHA-Food imports (% of merchandise imports)\n", - "Statistical=0.588, p=0.000\n", - "GHA-Food production index (2014-2016 = 100)\n", - "Statistical=0.540, p=0.000\n", - "GHA-Forest area (% of land area)\n", - "Statistical=0.929, p=0.037\n", - "GHA-Forest area (sq. km)\n", - "Statistical=0.854, p=0.001\n", - "GHA-Forest rents (% of GDP)\n", - "Statistical=0.955, p=0.198\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.844, p=0.000\n", - "GHA-Fuel exports (% of merchandise exports)\n", - "Statistical=0.841, p=0.000\n", - "GHA-Fuel imports (% of merchandise imports)\n", - "Statistical=0.844, p=0.000\n", - "GHA-GDP (current US$)\n", - "Statistical=0.929, p=0.036\n", - "GHA-GDP deflator (base year varies by country)\n", - "Statistical=0.909, p=0.010\n", - "GHA-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.693, p=0.000\n", - "GHA-GDP growth (annual %)\n", - "Statistical=0.770, p=0.000\n", - "GHA-GDP per capita (current US$)\n", - "Statistical=0.438, p=0.000\n", - "GHA-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.827, p=0.000\n", - "GHA-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.823, p=0.000\n", - "GHA-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.821, p=0.000\n", - "GHA-GNI (current US$)\n", - "Statistical=0.823, p=0.000\n", - "GHA-GNI growth (annual %)\n", - "Statistical=0.819, p=0.000\n", - "GHA-GNI per capita growth (annual %)\n", - "Statistical=0.814, p=0.000\n", - "GHA-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.966, p=0.398\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-General government final consumption expenditure (current US$)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Gini index\n", - "Statistical=0.963, p=0.330\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Goods imports (BoP, current US$)\n", - "Statistical=0.839, p=0.000\n", - "GHA-Grants and other revenue (% of revenue)\n", - "Statistical=0.798, p=0.000\n", - "GHA-Gross capital formation (% of GDP)\n", - "Statistical=0.891, p=0.004\n", - "GHA-Gross capital formation (current US$)\n", - "Statistical=0.766, p=0.000\n", - "GHA-Gross domestic savings (% of GDP)\n", - "Statistical=0.859, p=0.001\n", - "GHA-Gross domestic savings (current US$)\n", - "Statistical=0.918, p=0.019\n", - "GHA-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.715, p=0.000\n", - "GHA-Gross fixed capital formation (current US$)\n", - "Statistical=0.569, p=0.000\n", - "GHA-Gross national expenditure (% of GDP)\n", - "Statistical=0.682, p=0.000\n", - "GHA-Gross national expenditure (current US$)\n", - "Statistical=0.637, p=0.000\n", - "GHA-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.829, p=0.000\n", - "GHA-Gross savings (% of GDP)\n", - "Statistical=0.813, p=0.000\n", - "GHA-Gross savings (current US$)\n", - "Statistical=0.834, p=0.000\n", - "GHA-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.711, p=0.000\n", - "GHA-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.946, p=0.112\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-High-technology exports (% of manufactured exports)\n", - "Statistical=0.959, p=0.265\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-High-technology exports (current US$)\n", - "Statistical=0.896, p=0.005\n", - "GHA-Hospital beds (per 1,000 people)\n", - "Statistical=0.885, p=0.003\n", - "GHA-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.889, p=0.003\n", - "GHA-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.775, p=0.000\n", - "GHA-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.775, p=0.000\n", - "GHA-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.775, p=0.000\n", - "GHA-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.982, p=0.866\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.883, p=0.002\n", - "GHA-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.830, p=0.000\n", - "GHA-ICT goods exports (% of total goods exports)\n", - "Statistical=0.766, p=0.000\n", - "GHA-ICT goods imports (% total goods imports)\n", - "Statistical=0.871, p=0.001\n", - "GHA-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.847, p=0.000\n", - "GHA-ICT service exports (BoP, current US$)\n", - "Statistical=0.840, p=0.000\n", - "GHA-Import unit value index (2000 = 100)\n", - "Statistical=0.840, p=0.000\n", - "GHA-Import value index (2000 = 100)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Import volume index (2000 = 100)\n", - "Statistical=0.759, p=0.000\n", - "GHA-Imports of goods and services (% of GDP)\n", - "Statistical=0.803, p=0.000\n", - "GHA-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.877, p=0.002\n", - "GHA-Imports of goods and services (current US$)\n", - "Statistical=0.859, p=0.001\n", - "GHA-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "GHA-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Income share held by lowest 10%\n", - "Statistical=0.865, p=0.001\n", - "GHA-Income share held by lowest 20%\n", - "Statistical=0.889, p=0.003\n", - "GHA-Income share held by second 20%\n", - "Statistical=0.859, p=0.001\n", - "GHA-Income share held by third 20%\n", - "Statistical=0.887, p=0.003\n", - "GHA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.779, p=0.000\n", - "GHA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.839, p=0.000\n", - "GHA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.837, p=0.000\n", - "GHA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.876, p=0.002\n", - "GHA-Individuals using the Internet (% of population)\n", - "Statistical=0.837, p=0.000\n", - "GHA-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.806, p=0.000\n", - "GHA-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.488, p=0.000\n", - "GHA-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Intentional homicides (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Interest payments (% of revenue)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-International migrant stock (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Labor tax and contributions (% of commercial profits)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Land area (sq. km)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Land under cereal production (hectares)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.867, p=0.001\n", - "GHA-Lifetime risk of maternal death (%)\n", - "Statistical=0.734, p=0.000\n", - "GHA-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.879, p=0.002\n", - "GHA-Livestock production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.897, p=0.005\n", - "GHA-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.952, p=0.167\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Low-birthweight babies (% of births)\n", - "Statistical=0.923, p=0.026\n", - "GHA-Lower secondary school starting age (years)\n", - "Statistical=0.749, p=0.000\n", - "GHA-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.746, p=0.000\n", - "GHA-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.787, p=0.000\n", - "GHA-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.930, p=0.040\n", - "GHA-Marine protected areas (% of territorial waters)\n", - "Statistical=0.932, p=0.046\n", - "GHA-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.806, p=0.000\n", - "GHA-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.785, p=0.000\n", - "GHA-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.787, p=0.000\n", - "GHA-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.775, p=0.000\n", - "GHA-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.922, p=0.023\n", - "GHA-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.903, p=0.008\n", - "GHA-Merchandise exports (current US$)\n", - "Statistical=0.906, p=0.009\n", - "GHA-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.871, p=0.001\n", - "GHA-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.917, p=0.017\n", - "GHA-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.914, p=0.014\n", - "GHA-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.921, p=0.022\n", - "GHA-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.950, p=0.147\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.909, p=0.010\n", - "GHA-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.919, p=0.019\n", - "GHA-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.887, p=0.003\n", - "GHA-Merchandise imports (current US$)\n", - "Statistical=0.808, p=0.000\n", - "GHA-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.769, p=0.000\n", - "GHA-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.953, p=0.176\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.774, p=0.000\n", - "GHA-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.842, p=0.000\n", - "GHA-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.829, p=0.000\n", - "GHA-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.800, p=0.000\n", - "GHA-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.864, p=0.001\n", - "GHA-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.738, p=0.000\n", - "GHA-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.976, p=0.690\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.826, p=0.000\n", - "GHA-Merchandise trade (% of GDP)\n", - "Statistical=0.689, p=0.000\n", - "GHA-Methane emissions (% change from 1990)\n", - "Statistical=0.732, p=0.000\n", - "GHA-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.732, p=0.000\n", - "GHA-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.710, p=0.000\n", - "GHA-Military expenditure (% of GDP)\n", - "Statistical=0.826, p=0.000\n", - "GHA-Military expenditure (% of general government expenditure)\n", - "Statistical=0.825, p=0.000\n", - "GHA-Military expenditure (current USD)\n", - "Statistical=0.978, p=0.754\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Mineral rents (% of GDP)\n", - "Statistical=0.582, p=0.000\n", - "GHA-Mobile cellular subscriptions\n", - "Statistical=0.835, p=0.000\n", - "GHA-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.869, p=0.001\n", - "GHA-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.906, p=0.009\n", - "GHA-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.856, p=0.001\n", - "GHA-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.835, p=0.000\n", - "GHA-Natural gas rents (% of GDP)\n", - "Statistical=0.955, p=0.196\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Net barter terms of trade index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Net capital account (BoP, current US$)\n", - "Statistical=0.881, p=0.002\n", - "GHA-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.951, p=0.156\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Net financial account (BoP, current US$)\n", - "Statistical=0.824, p=0.000\n", - "GHA-Net migration\n", - "Statistical=0.745, p=0.000\n", - "GHA-Net primary income (BoP, current US$)\n", - "Statistical=0.745, p=0.000\n", - "GHA-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.727, p=0.000\n", - "GHA-Net secondary income (BoP, current US$)\n", - "Statistical=0.817, p=0.000\n", - "GHA-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.687, p=0.000\n", - "GHA-Net trade in goods (BoP, current US$)\n", - "Statistical=0.687, p=0.000\n", - "GHA-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.687, p=0.000\n", - "GHA-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.687, p=0.000\n", - "GHA-New businesses registered (number)\n", - "Statistical=0.687, p=0.000\n", - "GHA-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.764, p=0.000\n", - "GHA-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.763, p=0.000\n", - "GHA-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.860, p=0.001\n", - "GHA-Number of deaths ages 10-14 years\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Number of deaths ages 15-19 years\n", - "Statistical=0.955, p=0.199\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Number of deaths ages 20-24 years\n", - "Statistical=0.969, p=0.478\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Number of deaths ages 5-9 years\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Number of infant deaths\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Number of maternal deaths\n", - "Statistical=0.773, p=0.000\n", - "GHA-Number of neonatal deaths\n", - "Statistical=0.927, p=0.032\n", - "GHA-Number of under-five deaths\n", - "Statistical=0.788, p=0.000\n", - "GHA-Nurses and midwives (per 1,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.951, p=0.153\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Oil rents (% of GDP)\n", - "Statistical=0.861, p=0.001\n", - "GHA-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.861, p=0.001\n", - "GHA-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.950, p=0.141\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.843, p=0.000\n", - "GHA-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.780, p=0.000\n", - "GHA-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.915, p=0.015\n", - "GHA-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.879, p=0.002\n", - "GHA-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.879, p=0.002\n", - "GHA-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.712, p=0.000\n", - "GHA-People using at least basic drinking water services (% of population)\n", - "Statistical=0.802, p=0.000\n", - "GHA-People using at least basic sanitation services (% of population)\n", - "Statistical=0.755, p=0.000\n", - "GHA-People using safely managed sanitation services (% of population)\n", - "Statistical=0.763, p=0.000\n", - "GHA-Permanent cropland (% of land area)\n", - "Statistical=0.965, p=0.364\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Physicians (per 1,000 people)\n", - "Statistical=0.864, p=0.001\n", - "GHA-Population ages 0-14 (% of total population)\n", - "Statistical=0.864, p=0.001\n", - "GHA-Population ages 15-64 (% of total population)\n", - "Statistical=0.725, p=0.000\n", - "GHA-Population ages 65 and above (% of total population)\n", - "Statistical=0.819, p=0.000\n", - "GHA-Population density (people per sq. km of land area)\n", - "Statistical=0.960, p=0.277\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Population growth (annual %)\n", - "Statistical=0.864, p=0.001\n", - "GHA-Population in largest city\n", - "Statistical=0.823, p=0.000\n", - "GHA-Population in the largest city (% of urban population)\n", - "Statistical=0.871, p=0.001\n", - "GHA-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.835, p=0.000\n", - "GHA-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.813, p=0.000\n", - "GHA-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.879, p=0.002\n", - "GHA-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.826, p=0.000\n", - "GHA-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.716, p=0.000\n", - "GHA-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.739, p=0.000\n", - "GHA-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.739, p=0.000\n", - "GHA-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.714, p=0.000\n", - "GHA-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.815, p=0.000\n", - "GHA-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.831, p=0.000\n", - "GHA-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.742, p=0.000\n", - "GHA-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.742, p=0.000\n", - "GHA-Prevalence of undernourishment (% of population)\n", - "Statistical=0.727, p=0.000\n", - "GHA-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.815, p=0.000\n", - "GHA-Primary income payments (BoP, current US$)\n", - "Statistical=0.812, p=0.000\n", - "GHA-Primary income receipts (BoP, current US$)\n", - "Statistical=0.742, p=0.000\n", - "GHA-Primary school starting age (years)\n", - "Statistical=0.839, p=0.000\n", - "GHA-Private credit bureau coverage (% of adults)\n", - "Statistical=0.801, p=0.000\n", - "GHA-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.739, p=0.000\n", - "GHA-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.837, p=0.000\n", - "GHA-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.718, p=0.000\n", - "GHA-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Procedures to build a warehouse (number)\n", - "Statistical=0.867, p=0.001\n", - "GHA-Procedures to register property (number)\n", - "Statistical=0.729, p=0.000\n", - "GHA-Profit tax (% of commercial profits)\n", - "Statistical=0.729, p=0.000\n", - "GHA-Progression to secondary school (%)\n", - "Statistical=0.737, p=0.000\n", - "GHA-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.812, p=0.000\n", - "GHA-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.863, p=0.001\n", - "GHA-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.802, p=0.000\n", - "GHA-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.871, p=0.001\n", - "GHA-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.854, p=0.000\n", - "GHA-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.826, p=0.000\n", - "GHA-Public credit registry coverage (% of adults)\n", - "Statistical=0.842, p=0.000\n", - "GHA-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.769, p=0.000\n", - "GHA-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.740, p=0.000\n", - "GHA-Rail lines (total route-km)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.754, p=0.000\n", - "GHA-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.925, p=0.028\n", - "GHA-Refugee population by country or territory of asylum\n", - "Statistical=0.964, p=0.355\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Refugee population by country or territory of origin\n", - "Statistical=0.782, p=0.000\n", - "GHA-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.779, p=0.000\n", - "GHA-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.779, p=0.000\n", - "GHA-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.666, p=0.000\n", - "GHA-Research and development expenditure (% of GDP)\n", - "Statistical=0.769, p=0.000\n", - "GHA-Researchers in R&D (per million people)\n", - "Statistical=0.735, p=0.000\n", - "GHA-Reserves and related items (BoP, current US$)\n", - "Statistical=0.951, p=0.156\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.615, p=0.000\n", - "GHA-Rural land area (sq. km)\n", - "Statistical=0.675, p=0.000\n", - "GHA-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.972, p=0.551\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.773, p=0.000\n", - "GHA-Rural population\n", - "Statistical=0.849, p=0.000\n", - "GHA-Rural population (% of total population)\n", - "Statistical=0.849, p=0.000\n", - "GHA-Rural population growth (annual %)\n", - "Statistical=0.665, p=0.000\n", - "GHA-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.778, p=0.000\n", - "GHA-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.781, p=0.000\n", - "GHA-Scientific and technical journal articles\n", - "Statistical=0.874, p=0.001\n", - "GHA-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.825, p=0.000\n", - "GHA-Secure Internet servers\n", - "Statistical=0.981, p=0.819\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Secure Internet servers (per 1 million people)\n", - "Statistical=0.748, p=0.000\n", - "GHA-Service exports (BoP, current US$)\n", - "Statistical=0.749, p=0.000\n", - "GHA-Service imports (BoP, current US$)\n", - "Statistical=0.718, p=0.000\n", - "GHA-Sex ratio at birth (male births per female births)\n", - "Statistical=0.808, p=0.000\n", - "GHA-Social contributions (% of revenue)\n", - "Statistical=0.684, p=0.000\n", - "GHA-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.925, p=0.029\n", - "GHA-Start-up procedures to register a business (number)\n", - "Statistical=0.907, p=0.009\n", - "GHA-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.658, p=0.000\n", - "GHA-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.716, p=0.000\n", - "GHA-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.731, p=0.000\n", - "GHA-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.731, p=0.000\n", - "GHA-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.712, p=0.000\n", - "GHA-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.804, p=0.000\n", - "GHA-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.637, p=0.000\n", - "GHA-Surface area (sq. km)\n", - "Statistical=0.556, p=0.000\n", - "GHA-Tax payments (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Tax revenue (% of GDP)\n", - "Statistical=0.791, p=0.000\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "GHA-Taxes less subsidies on products (current US$)\n", - "Statistical=0.747, p=0.000\n", - "GHA-Taxes on goods and services (% of revenue)\n", - "Statistical=0.747, p=0.000\n", - "GHA-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.732, p=0.000\n", - "GHA-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.817, p=0.000\n", - "GHA-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.721, p=0.000\n", - "GHA-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.707, p=0.000\n", - "GHA-Time required to build a warehouse (days)\n", - "Statistical=0.747, p=0.000\n", - "GHA-Time required to enforce a contract (days)\n", - "Statistical=0.827, p=0.000\n", - "GHA-Time required to get electricity (days)\n", - "Statistical=0.954, p=0.187\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Time required to register property (days)\n", - "Statistical=0.738, p=0.000\n", - "GHA-Time required to start a business (days)\n", - "Statistical=0.397, p=0.000\n", - "GHA-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.394, p=0.000\n", - "GHA-Time to obtain an electrical connection (days)\n", - "Statistical=0.401, p=0.000\n", - "GHA-Time to prepare and pay taxes (hours)\n", - "Statistical=0.391, p=0.000\n", - "GHA-Time to resolve insolvency (years)\n", - "Statistical=0.404, p=0.000\n", - "GHA-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.400, p=0.000\n", - "GHA-Total fisheries production (metric tons)\n", - "Statistical=0.404, p=0.000\n", - "GHA-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.399, p=0.000\n", - "GHA-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.385, p=0.000\n", - "GHA-Total natural resources rents (% of GDP)\n", - "Statistical=0.831, p=0.000\n", - "GHA-Total reserves (includes gold, current US$)\n", - "Statistical=0.773, p=0.000\n", - "GHA-Total reserves in months of imports\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Total reserves minus gold (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Total tax and contribution rate (% of profit)\n", - "Statistical=0.916, p=0.016\n", - "GHA-Trade (% of GDP)\n", - "Statistical=0.793, p=0.000\n", - "GHA-Trade in services (% of GDP)\n", - "Statistical=0.903, p=0.007\n", - "GHA-Transport services (% of commercial service exports)\n", - "Statistical=0.853, p=0.000\n", - "GHA-Transport services (% of commercial service imports)\n", - "Statistical=0.877, p=0.002\n", - "GHA-Transport services (% of service exports, BoP)\n", - "Statistical=0.912, p=0.013\n", - "GHA-Transport services (% of service imports, BoP)\n", - "Statistical=0.951, p=0.155\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Travel services (% of commercial service exports)\n", - "Statistical=0.838, p=0.000\n", - "GHA-Travel services (% of commercial service imports)\n", - "Statistical=0.796, p=0.000\n", - "GHA-Travel services (% of service exports, BoP)\n", - "Statistical=0.745, p=0.000\n", - "GHA-Travel services (% of service imports, BoP)\n", - "Statistical=0.745, p=0.000\n", - "GHA-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.730, p=0.000\n", - "GHA-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.838, p=0.000\n", - "GHA-UHC service coverage index\n", - "Statistical=0.840, p=0.000\n", - "GHA-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.828, p=0.000\n", - "GHA-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.828, p=0.000\n", - "GHA-Urban land area (sq. km)\n", - "Statistical=0.772, p=0.000\n", - "GHA-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.931, p=0.042\n", - "GHA-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.924, p=0.027\n", - "GHA-Urban population\n", - "Statistical=0.887, p=0.003\n", - "GHA-Urban population (% of total population)\n", - "Statistical=0.886, p=0.003\n", - "GHA-Urban population growth (annual %)\n", - "Statistical=0.723, p=0.000\n", - "GHA-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.723, p=0.000\n", - "GHA-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.835, p=0.000\n", - "GHA-GDP (current US$)+1\n", - "Statistical=0.835, p=0.000\n", - "GHA-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-GDP (current US$)+2\n", - "Statistical=0.482, p=0.000\n", - "GHA-GDP (current US$)+3\n", - "Statistical=0.459, p=0.000\n", - "GHA-GDP (current US$)+5\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-GDP (current US$)+8\n", - "Statistical=0.801, p=0.000\n", - "GHA-GDP (current US$)+13\n", - "Statistical=0.726, p=0.000\n", - "GHA-GDP (current US$)+21\n", - "Statistical=0.726, p=0.000\n", - "GHA-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.678, p=0.000\n", - "GHA-Deposit interest rate (%)\n", - "Statistical=0.762, p=0.000\n", - "GHA-Other taxes (% of revenue)\n", - "Statistical=0.761, p=0.000\n", - "GHA-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.923, p=0.026\n", - "GHA-Taxes on international trade (% of revenue)\n", - "Statistical=0.921, p=0.022\n", - "GHA-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.888, p=0.003\n", - "GHA-Broad money (% of GDP)\n", - "Statistical=0.855, p=0.001\n", - "GHA-Broad money growth (annual %)\n", - "Statistical=0.958, p=0.234\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Broad money to total reserves ratio\n", - "Statistical=0.862, p=0.001\n", - "GHA-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.818, p=0.000\n", - "GHA-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-External health expenditure (% of current health expenditure)\n", - "Statistical=0.645, p=0.000\n", - "GHA-External health expenditure per capita (current US$)\n", - "Statistical=0.703, p=0.000\n", - "GHA-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.845, p=0.000\n", - "GHA-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.901, p=0.007\n", - "GHA-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "GHA-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.858, p=0.001\n", - "GHA-People practicing open defecation (% of population)\n", - "Statistical=0.807, p=0.000\n", - "GHA-Taxes on exports (% of tax revenue)\n", - "Statistical=0.875, p=0.002\n", - "GHA-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.847, p=0.000\n", - "GHA-Country\n", - "Statistical=0.894, p=0.004\n", - "GHA-Year\n", - "Statistical=0.895, p=0.005\n", - "GHA-Continent\n", - "Statistical=0.844, p=0.000\n", - "BGD-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Adjusted net national income (current US$)\n", - "Statistical=0.775, p=0.000\n", - "BGD-Adjusted net national income per capita (current US$)\n", - "Statistical=0.751, p=0.000\n", - "BGD-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.769, p=0.000\n", - "BGD-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.906, p=0.009\n", - "BGD-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.961, p=0.287\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.535, p=0.000\n", - "BGD-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.534, p=0.000\n", - "BGD-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.544, p=0.000\n", - "BGD-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.546, p=0.000\n", - "BGD-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.569, p=0.000\n", - "BGD-Age dependency ratio (% of working-age population)\n", - "Statistical=0.573, p=0.000\n", - "BGD-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.590, p=0.000\n", - "BGD-Agricultural land (% of land area)\n", - "Statistical=0.616, p=0.000\n", - "BGD-Agricultural land (sq. km)\n", - "Statistical=0.528, p=0.000\n", - "BGD-Agricultural methane emissions (% of total)\n", - "Statistical=0.700, p=0.000\n", - "BGD-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.812, p=0.000\n", - "BGD-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.812, p=0.000\n", - "BGD-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.959, p=0.255\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.882, p=0.002\n", - "BGD-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.823, p=0.000\n", - "BGD-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.959, p=0.253\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Aquaculture production (metric tons)\n", - "Statistical=0.865, p=0.001\n", - "BGD-Arable land (% of land area)\n", - "Statistical=0.818, p=0.000\n", - "BGD-Arable land (hectares per person)\n", - "Statistical=0.908, p=0.010\n", - "BGD-Arable land (hectares)\n", - "Statistical=0.849, p=0.000\n", - "BGD-Armed forces personnel (% of total labor force)\n", - "Statistical=0.886, p=0.003\n", - "BGD-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.851, p=0.000\n", - "BGD-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.825, p=0.000\n", - "BGD-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.847, p=0.000\n", - "BGD-Average precipitation in depth (mm per year)\n", - "Statistical=0.962, p=0.310\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Average time to clear exports through customs (days)\n", - "Statistical=0.819, p=0.000\n", - "BGD-Births attended by skilled health staff (% of total)\n", - "Statistical=0.967, p=0.423\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.819, p=0.000\n", - "BGD-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.929, p=0.038\n", - "BGD-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.858, p=0.001\n", - "BGD-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.885, p=0.003\n", - "BGD-CO2 emissions (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-CO2 emissions (metric tons per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.862, p=0.001\n", - "BGD-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=0.931, p=0.042\n", - "BGD-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=0.837, p=0.000\n", - "BGD-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.898, p=0.005\n", - "BGD-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.848, p=0.000\n", - "BGD-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.908, p=0.010\n", - "BGD-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.844, p=0.000\n", - "BGD-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.891, p=0.004\n", - "BGD-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.842, p=0.000\n", - "BGD-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.794, p=0.000\n", - "BGD-Capture fisheries production (metric tons)\n", - "Statistical=0.825, p=0.000\n", - "BGD-Cereal production (metric tons)\n", - "Statistical=0.954, p=0.187\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Cereal yield (kg per hectare)\n", - "Statistical=0.867, p=0.001\n", - "BGD-Changes in inventories (current US$)\n", - "Statistical=0.950, p=0.141\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.753, p=0.000\n", - "BGD-Children out of school (% of primary school age)\n", - "Statistical=0.956, p=0.209\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Coal rents (% of GDP)\n", - "Statistical=0.956, p=0.209\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.801, p=0.000\n", - "BGD-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.770, p=0.000\n", - "BGD-Commercial service exports (current US$)\n", - "Statistical=0.815, p=0.000\n", - "BGD-Commercial service imports (current US$)\n", - "Statistical=0.885, p=0.003\n", - "BGD-Completeness of birth registration (%)\n", - "Statistical=0.892, p=0.004\n", - "BGD-Consumer price index (2010 = 100)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.865, p=0.001\n", - "BGD-Crop production index (2014-2016 = 100)\n", - "Statistical=0.955, p=0.204\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Current account balance (% of GDP)\n", - "Statistical=0.927, p=0.032\n", - "BGD-Current account balance (BoP, current US$)\n", - "Statistical=0.983, p=0.882\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Current health expenditure (% of GDP)\n", - "Statistical=0.909, p=0.011\n", - "BGD-Current health expenditure per capita (current US$)\n", - "Statistical=0.909, p=0.011\n", - "BGD-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.842, p=0.000\n", - "BGD-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.814, p=0.000\n", - "BGD-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.867, p=0.001\n", - "BGD-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.943, p=0.093\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.830, p=0.000\n", - "BGD-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.778, p=0.000\n", - "BGD-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.920, p=0.021\n", - "BGD-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Domestic private health expenditure per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.884, p=0.002\n", - "BGD-Electric power consumption (kWh per capita)\n", - "Statistical=0.847, p=0.000\n", - "BGD-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.884, p=0.002\n", - "BGD-Electricity production from coal sources (% of total)\n", - "Statistical=0.847, p=0.000\n", - "BGD-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.955, p=0.205\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.821, p=0.000\n", - "BGD-Electricity production from nuclear sources (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Electricity production from oil sources (% of total)\n", - "Statistical=0.885, p=0.003\n", - "BGD-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.726, p=0.000\n", - "BGD-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.687, p=0.000\n", - "BGD-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.877, p=0.002\n", - "BGD-Energy related methane emissions (% of total)\n", - "Statistical=0.765, p=0.000\n", - "BGD-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.793, p=0.000\n", - "BGD-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.930, p=0.038\n", - "BGD-Export unit value index (2000 = 100)\n", - "Statistical=0.835, p=0.000\n", - "BGD-Export value index (2000 = 100)\n", - "Statistical=0.784, p=0.000\n", - "BGD-Export volume index (2000 = 100)\n", - "Statistical=0.749, p=0.000\n", - "BGD-Exports of goods and services (% of GDP)\n", - "Statistical=0.789, p=0.000\n", - "BGD-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.871, p=0.001\n", - "BGD-Exports of goods and services (current US$)\n", - "Statistical=0.793, p=0.000\n", - "BGD-External balance on goods and services (% of GDP)\n", - "Statistical=0.960, p=0.277\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-External balance on goods and services (current US$)\n", - "Statistical=0.928, p=0.035\n", - "BGD-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.897, p=0.005\n", - "BGD-Final consumption expenditure (% of GDP)\n", - "Statistical=0.897, p=0.005\n", - "BGD-Final consumption expenditure (current US$)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.889, p=0.003\n", - "BGD-Firms offering formal training (% of firms)\n", - "Statistical=0.894, p=0.004\n", - "BGD-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.919, p=0.020\n", - "BGD-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.964, p=0.346\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.889, p=0.003\n", - "BGD-Fixed broadband subscriptions\n", - "Statistical=0.870, p=0.001\n", - "BGD-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.901, p=0.007\n", - "BGD-Fixed telephone subscriptions\n", - "Statistical=0.971, p=0.527\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.900, p=0.006\n", - "BGD-Food exports (% of merchandise exports)\n", - "Statistical=0.884, p=0.002\n", - "BGD-Food imports (% of merchandise imports)\n", - "Statistical=0.953, p=0.172\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Food production index (2014-2016 = 100)\n", - "Statistical=0.876, p=0.002\n", - "BGD-Forest area (% of land area)\n", - "Statistical=0.845, p=0.000\n", - "BGD-Forest area (sq. km)\n", - "Statistical=0.880, p=0.002\n", - "BGD-Forest rents (% of GDP)\n", - "Statistical=0.899, p=0.006\n", - "BGD-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.852, p=0.000\n", - "BGD-Fuel exports (% of merchandise exports)\n", - "Statistical=0.850, p=0.000\n", - "BGD-Fuel imports (% of merchandise imports)\n", - "Statistical=0.855, p=0.001\n", - "BGD-GDP (current US$)\n", - "Statistical=0.907, p=0.010\n", - "BGD-GDP deflator (base year varies by country)\n", - "Statistical=0.892, p=0.004\n", - "BGD-GDP deflator: linked series (base year varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-GDP growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-GDP per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.924, p=0.027\n", - "BGD-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.700, p=0.000\n", - "BGD-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.812, p=0.000\n", - "BGD-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.812, p=0.000\n", - "BGD-GNI (current US$)\n", - "Statistical=0.700, p=0.000\n", - "BGD-GNI growth (annual %)\n", - "Statistical=0.812, p=0.000\n", - "BGD-GNI per capita growth (annual %)\n", - "Statistical=0.812, p=0.000\n", - "BGD-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.960, p=0.267\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-General government final consumption expenditure (current US$)\n", - "Statistical=0.775, p=0.000\n", - "BGD-Gini index\n", - "Statistical=0.967, p=0.429\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Goods imports (BoP, current US$)\n", - "Statistical=0.891, p=0.004\n", - "BGD-Grants and other revenue (% of revenue)\n", - "Statistical=0.718, p=0.000\n", - "BGD-Gross capital formation (% of GDP)\n", - "Statistical=0.827, p=0.000\n", - "BGD-Gross capital formation (current US$)\n", - "Statistical=0.849, p=0.000\n", - "BGD-Gross domestic savings (% of GDP)\n", - "Statistical=0.955, p=0.197\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Gross domestic savings (current US$)\n", - "Statistical=0.861, p=0.001\n", - "BGD-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.717, p=0.000\n", - "BGD-Gross fixed capital formation (current US$)\n", - "Statistical=0.605, p=0.000\n", - "BGD-Gross national expenditure (% of GDP)\n", - "Statistical=0.598, p=0.000\n", - "BGD-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.928, p=0.035\n", - "BGD-Gross savings (% of GDP)\n", - "Statistical=0.881, p=0.002\n", - "BGD-Gross savings (current US$)\n", - "Statistical=0.888, p=0.003\n", - "BGD-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.811, p=0.000\n", - "BGD-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.897, p=0.005\n", - "BGD-High-technology exports (% of manufactured exports)\n", - "Statistical=0.956, p=0.209\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-High-technology exports (current US$)\n", - "Statistical=0.804, p=0.000\n", - "BGD-Hospital beds (per 1,000 people)\n", - "Statistical=0.906, p=0.009\n", - "BGD-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.821, p=0.000\n", - "BGD-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.590, p=0.000\n", - "BGD-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.590, p=0.000\n", - "BGD-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.590, p=0.000\n", - "BGD-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.892, p=0.004\n", - "BGD-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.976, p=0.679\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.952, p=0.170\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.639, p=0.000\n", - "BGD-ICT goods exports (% of total goods exports)\n", - "Statistical=0.655, p=0.000\n", - "BGD-ICT goods imports (% total goods imports)\n", - "Statistical=0.774, p=0.000\n", - "BGD-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.855, p=0.001\n", - "BGD-ICT service exports (BoP, current US$)\n", - "Statistical=0.788, p=0.000\n", - "BGD-Import unit value index (2000 = 100)\n", - "Statistical=0.824, p=0.000\n", - "BGD-Import value index (2000 = 100)\n", - "Statistical=0.783, p=0.000\n", - "BGD-Import volume index (2000 = 100)\n", - "Statistical=0.761, p=0.000\n", - "BGD-Imports of goods and services (% of GDP)\n", - "Statistical=0.915, p=0.015\n", - "BGD-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.811, p=0.000\n", - "BGD-Imports of goods and services (current US$)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "BGD-Income share held by highest 10%\n", - "Statistical=0.698, p=0.000\n", - "BGD-Income share held by highest 20%\n", - "Statistical=0.964, p=0.353\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Income share held by lowest 10%\n", - "Statistical=0.890, p=0.003\n", - "BGD-Income share held by lowest 20%\n", - "Statistical=0.889, p=0.003\n", - "BGD-Income share held by second 20%\n", - "Statistical=0.816, p=0.000\n", - "BGD-Income share held by third 20%\n", - "Statistical=0.866, p=0.001\n", - "BGD-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.840, p=0.000\n", - "BGD-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.798, p=0.000\n", - "BGD-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.838, p=0.000\n", - "BGD-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.860, p=0.001\n", - "BGD-Individuals using the Internet (% of population)\n", - "Statistical=0.782, p=0.000\n", - "BGD-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.820, p=0.000\n", - "BGD-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.447, p=0.000\n", - "BGD-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.782, p=0.000\n", - "BGD-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.832, p=0.000\n", - "BGD-Intentional homicides (per 100,000 people)\n", - "Statistical=0.800, p=0.000\n", - "BGD-Interest payments (% of revenue)\n", - "Statistical=0.640, p=0.000\n", - "BGD-International migrant stock (% of population)\n", - "Statistical=0.668, p=0.000\n", - "BGD-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.645, p=0.000\n", - "BGD-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.540, p=0.000\n", - "BGD-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.558, p=0.000\n", - "BGD-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.537, p=0.000\n", - "BGD-Land area (sq. km)\n", - "Statistical=0.779, p=0.000\n", - "BGD-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.843, p=0.000\n", - "BGD-Land under cereal production (hectares)\n", - "Statistical=0.818, p=0.000\n", - "BGD-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.864, p=0.001\n", - "BGD-Lifetime risk of maternal death (%)\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.864, p=0.001\n", - "BGD-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.925, p=0.029\n", - "BGD-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.876, p=0.002\n", - "BGD-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.852, p=0.000\n", - "BGD-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.831, p=0.000\n", - "BGD-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.655, p=0.000\n", - "BGD-Low-birthweight babies (% of births)\n", - "Statistical=0.659, p=0.000\n", - "BGD-Lower secondary school starting age (years)\n", - "Statistical=0.885, p=0.003\n", - "BGD-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.927, p=0.033\n", - "BGD-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.880, p=0.002\n", - "BGD-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.899, p=0.006\n", - "BGD-Marine protected areas (% of territorial waters)\n", - "Statistical=0.884, p=0.003\n", - "BGD-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.893, p=0.004\n", - "BGD-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.895, p=0.005\n", - "BGD-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.897, p=0.005\n", - "BGD-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.908, p=0.010\n", - "BGD-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.871, p=0.001\n", - "BGD-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.813, p=0.000\n", - "BGD-Merchandise exports (current US$)\n", - "Statistical=0.923, p=0.026\n", - "BGD-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.769, p=0.000\n", - "BGD-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.929, p=0.036\n", - "BGD-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.737, p=0.000\n", - "BGD-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.889, p=0.003\n", - "BGD-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.721, p=0.000\n", - "BGD-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.887, p=0.003\n", - "BGD-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.660, p=0.000\n", - "BGD-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.907, p=0.009\n", - "BGD-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.640, p=0.000\n", - "BGD-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.966, p=0.390\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Merchandise imports (current US$)\n", - "Statistical=0.844, p=0.000\n", - "BGD-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.760, p=0.000\n", - "BGD-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.867, p=0.001\n", - "BGD-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.900, p=0.006\n", - "BGD-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.906, p=0.009\n", - "BGD-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.927, p=0.033\n", - "BGD-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.854, p=0.001\n", - "BGD-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.875, p=0.002\n", - "BGD-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.853, p=0.000\n", - "BGD-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.971, p=0.529\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.863, p=0.001\n", - "BGD-Merchandise trade (% of GDP)\n", - "Statistical=0.967, p=0.414\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Methane emissions (% change from 1990)\n", - "Statistical=0.842, p=0.000\n", - "BGD-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.842, p=0.000\n", - "BGD-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.838, p=0.000\n", - "BGD-Military expenditure (% of GDP)\n", - "Statistical=0.855, p=0.001\n", - "BGD-Military expenditure (% of general government expenditure)\n", - "Statistical=0.864, p=0.001\n", - "BGD-Military expenditure (current USD)\n", - "Statistical=0.956, p=0.213\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Mineral rents (% of GDP)\n", - "Statistical=0.796, p=0.000\n", - "BGD-Mobile cellular subscriptions\n", - "Statistical=0.808, p=0.000\n", - "BGD-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.820, p=0.000\n", - "BGD-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.915, p=0.016\n", - "BGD-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.806, p=0.000\n", - "BGD-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.815, p=0.000\n", - "BGD-Natural gas rents (% of GDP)\n", - "Statistical=0.904, p=0.008\n", - "BGD-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.799, p=0.000\n", - "BGD-Net capital account (BoP, current US$)\n", - "Statistical=0.914, p=0.014\n", - "BGD-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.928, p=0.035\n", - "BGD-Net financial account (BoP, current US$)\n", - "Statistical=0.965, p=0.363\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Net migration\n", - "Statistical=0.886, p=0.003\n", - "BGD-Net primary income (BoP, current US$)\n", - "Statistical=0.886, p=0.003\n", - "BGD-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.814, p=0.000\n", - "BGD-Net secondary income (BoP, current US$)\n", - "Statistical=0.816, p=0.000\n", - "BGD-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.687, p=0.000\n", - "BGD-Net trade in goods (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.687, p=0.000\n", - "BGD-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.687, p=0.000\n", - "BGD-New businesses registered (number)\n", - "Statistical=0.687, p=0.000\n", - "BGD-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.622, p=0.000\n", - "BGD-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.625, p=0.000\n", - "BGD-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.920, p=0.021\n", - "BGD-Number of deaths ages 10-14 years\n", - "Statistical=0.909, p=0.011\n", - "BGD-Number of deaths ages 15-19 years\n", - "Statistical=0.885, p=0.003\n", - "BGD-Number of deaths ages 20-24 years\n", - "Statistical=0.955, p=0.204\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Number of deaths ages 5-9 years\n", - "Statistical=0.893, p=0.004\n", - "BGD-Number of infant deaths\n", - "Statistical=0.828, p=0.000\n", - "BGD-Number of maternal deaths\n", - "Statistical=0.862, p=0.001\n", - "BGD-Number of neonatal deaths\n", - "Statistical=0.927, p=0.033\n", - "BGD-Number of under-five deaths\n", - "Statistical=0.858, p=0.001\n", - "BGD-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.820, p=0.000\n", - "BGD-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.764, p=0.000\n", - "BGD-Oil rents (% of GDP)\n", - "Statistical=0.794, p=0.000\n", - "BGD-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.794, p=0.000\n", - "BGD-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.891, p=0.004\n", - "BGD-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.869, p=0.001\n", - "BGD-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.892, p=0.004\n", - "BGD-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.892, p=0.004\n", - "BGD-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.813, p=0.000\n", - "BGD-People using at least basic drinking water services (% of population)\n", - "Statistical=0.814, p=0.000\n", - "BGD-People using at least basic sanitation services (% of population)\n", - "Statistical=0.892, p=0.004\n", - "BGD-People using safely managed sanitation services (% of population)\n", - "Statistical=0.876, p=0.002\n", - "BGD-Permanent cropland (% of land area)\n", - "Statistical=0.973, p=0.572\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Physicians (per 1,000 people)\n", - "Statistical=0.881, p=0.002\n", - "BGD-Population ages 0-14 (% of total population)\n", - "Statistical=0.881, p=0.002\n", - "BGD-Population ages 15-64 (% of total population)\n", - "Statistical=0.818, p=0.000\n", - "BGD-Population ages 65 and above (% of total population)\n", - "Statistical=0.808, p=0.000\n", - "BGD-Population density (people per sq. km of land area)\n", - "Statistical=0.953, p=0.173\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Population growth (annual %)\n", - "Statistical=0.881, p=0.002\n", - "BGD-Population in largest city\n", - "Statistical=0.869, p=0.001\n", - "BGD-Population in the largest city (% of urban population)\n", - "Statistical=0.881, p=0.002\n", - "BGD-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.884, p=0.002\n", - "BGD-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.890, p=0.004\n", - "BGD-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.892, p=0.004\n", - "BGD-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.867, p=0.001\n", - "BGD-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.809, p=0.000\n", - "BGD-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "BGD-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.897, p=0.005\n", - "BGD-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.897, p=0.005\n", - "BGD-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.814, p=0.000\n", - "BGD-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.820, p=0.000\n", - "BGD-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.888, p=0.003\n", - "BGD-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.888, p=0.003\n", - "BGD-Prevalence of undernourishment (% of population)\n", - "Statistical=0.823, p=0.000\n", - "BGD-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Primary income payments (BoP, current US$)\n", - "Statistical=0.819, p=0.000\n", - "BGD-Primary income receipts (BoP, current US$)\n", - "Statistical=0.888, p=0.003\n", - "BGD-Primary school starting age (years)\n", - "Statistical=0.875, p=0.002\n", - "BGD-Private credit bureau coverage (% of adults)\n", - "Statistical=0.825, p=0.000\n", - "BGD-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.897, p=0.005\n", - "BGD-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.872, p=0.001\n", - "BGD-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.809, p=0.000\n", - "BGD-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.912, p=0.013\n", - "BGD-Procedures to build a warehouse (number)\n", - "Statistical=0.979, p=0.765\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Procedures to register property (number)\n", - "Statistical=0.874, p=0.001\n", - "BGD-Profit tax (% of commercial profits)\n", - "Statistical=0.874, p=0.001\n", - "BGD-Progression to secondary school (%)\n", - "Statistical=0.799, p=0.000\n", - "BGD-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.816, p=0.000\n", - "BGD-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.909, p=0.011\n", - "BGD-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.858, p=0.001\n", - "BGD-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.858, p=0.001\n", - "BGD-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.897, p=0.005\n", - "BGD-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.978, p=0.734\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Public credit registry coverage (% of adults)\n", - "Statistical=0.288, p=0.000\n", - "BGD-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.741, p=0.000\n", - "BGD-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.871, p=0.001\n", - "BGD-Rail lines (total route-km)\n", - "Statistical=0.793, p=0.000\n", - "BGD-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.794, p=0.000\n", - "BGD-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.912, p=0.012\n", - "BGD-Refugee population by country or territory of asylum\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Refugee population by country or territory of origin\n", - "Statistical=0.974, p=0.611\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.877, p=0.002\n", - "BGD-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.877, p=0.002\n", - "BGD-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.797, p=0.000\n", - "BGD-Research and development expenditure (% of GDP)\n", - "Statistical=0.816, p=0.000\n", - "BGD-Researchers in R&D (per million people)\n", - "Statistical=0.895, p=0.005\n", - "BGD-Reserves and related items (BoP, current US$)\n", - "Statistical=0.928, p=0.035\n", - "BGD-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.795, p=0.000\n", - "BGD-Rural land area (sq. km)\n", - "Statistical=0.808, p=0.000\n", - "BGD-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.974, p=0.611\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Rural population\n", - "Statistical=0.877, p=0.002\n", - "BGD-Rural population (% of total population)\n", - "Statistical=0.877, p=0.002\n", - "BGD-Rural population growth (annual %)\n", - "Statistical=0.797, p=0.000\n", - "BGD-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.816, p=0.000\n", - "BGD-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.772, p=0.000\n", - "BGD-Scientific and technical journal articles\n", - "Statistical=0.817, p=0.000\n", - "BGD-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.799, p=0.000\n", - "BGD-Secure Internet servers\n", - "Statistical=0.966, p=0.391\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Secure Internet servers (per 1 million people)\n", - "Statistical=0.884, p=0.002\n", - "BGD-Service exports (BoP, current US$)\n", - "Statistical=0.883, p=0.002\n", - "BGD-Service imports (BoP, current US$)\n", - "Statistical=0.812, p=0.000\n", - "BGD-Sex ratio at birth (male births per female births)\n", - "Statistical=0.814, p=0.000\n", - "BGD-Social contributions (% of revenue)\n", - "Statistical=0.897, p=0.005\n", - "BGD-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.903, p=0.007\n", - "BGD-Start-up procedures to register a business (number)\n", - "Statistical=0.887, p=0.003\n", - "BGD-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.825, p=0.000\n", - "BGD-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.842, p=0.000\n", - "BGD-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.889, p=0.003\n", - "BGD-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.889, p=0.003\n", - "BGD-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.813, p=0.000\n", - "BGD-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.814, p=0.000\n", - "BGD-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.725, p=0.000\n", - "BGD-Surface area (sq. km)\n", - "Statistical=0.799, p=0.000\n", - "BGD-Tax payments (number)\n", - "Statistical=0.767, p=0.000\n", - "BGD-Tax revenue (% of GDP)\n", - "Statistical=0.967, p=0.413\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Taxes less subsidies on products (current US$)\n", - "Statistical=0.887, p=0.003\n", - "BGD-Taxes on goods and services (% of revenue)\n", - "Statistical=0.887, p=0.003\n", - "BGD-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.817, p=0.000\n", - "BGD-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.818, p=0.000\n", - "BGD-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.845, p=0.000\n", - "BGD-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.963, p=0.327\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Time required to build a warehouse (days)\n", - "Statistical=0.887, p=0.003\n", - "BGD-Time required to enforce a contract (days)\n", - "Statistical=0.862, p=0.001\n", - "BGD-Time required to get electricity (days)\n", - "Statistical=0.931, p=0.042\n", - "BGD-Time required to register property (days)\n", - "Statistical=0.812, p=0.000\n", - "BGD-Time required to start a business (days)\n", - "Statistical=0.408, p=0.000\n", - "BGD-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.409, p=0.000\n", - "BGD-Time to obtain an electrical connection (days)\n", - "Statistical=0.409, p=0.000\n", - "BGD-Time to prepare and pay taxes (hours)\n", - "Statistical=0.409, p=0.000\n", - "BGD-Time to resolve insolvency (years)\n", - "Statistical=0.409, p=0.000\n", - "BGD-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.408, p=0.000\n", - "BGD-Total fisheries production (metric tons)\n", - "Statistical=0.408, p=0.000\n", - "BGD-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.409, p=0.000\n", - "BGD-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.408, p=0.000\n", - "BGD-Total natural resources rents (% of GDP)\n", - "Statistical=0.928, p=0.035\n", - "BGD-Total reserves (includes gold, current US$)\n", - "Statistical=0.829, p=0.000\n", - "BGD-Total reserves in months of imports\n", - "Statistical=0.870, p=0.001\n", - "BGD-Total reserves minus gold (current US$)\n", - "Statistical=0.789, p=0.000\n", - "BGD-Total tax and contribution rate (% of profit)\n", - "Statistical=0.850, p=0.000\n", - "BGD-Trade (% of GDP)\n", - "Statistical=0.755, p=0.000\n", - "BGD-Trade in services (% of GDP)\n", - "Statistical=0.897, p=0.005\n", - "BGD-Transport services (% of commercial service exports)\n", - "Statistical=0.890, p=0.004\n", - "BGD-Transport services (% of commercial service imports)\n", - "Statistical=0.857, p=0.001\n", - "BGD-Transport services (% of service exports, BoP)\n", - "Statistical=0.850, p=0.000\n", - "BGD-Transport services (% of service imports, BoP)\n", - "Statistical=0.960, p=0.272\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Travel services (% of commercial service exports)\n", - "Statistical=0.858, p=0.001\n", - "BGD-Travel services (% of commercial service imports)\n", - "Statistical=0.941, p=0.081\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Travel services (% of service exports, BoP)\n", - "Statistical=0.863, p=0.001\n", - "BGD-Travel services (% of service imports, BoP)\n", - "Statistical=0.863, p=0.001\n", - "BGD-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.826, p=0.000\n", - "BGD-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.842, p=0.000\n", - "BGD-UHC service coverage index\n", - "Statistical=0.859, p=0.001\n", - "BGD-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.895, p=0.005\n", - "BGD-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.765, p=0.000\n", - "BGD-Urban land area (sq. km)\n", - "Statistical=0.799, p=0.000\n", - "BGD-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.849, p=0.000\n", - "BGD-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.906, p=0.009\n", - "BGD-Urban population\n", - "Statistical=0.862, p=0.001\n", - "BGD-Urban population (% of total population)\n", - "Statistical=0.809, p=0.000\n", - "BGD-Urban population growth (annual %)\n", - "Statistical=0.804, p=0.000\n", - "BGD-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.804, p=0.000\n", - "BGD-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.900, p=0.006\n", - "BGD-GDP (current US$)+1\n", - "Statistical=0.900, p=0.006\n", - "BGD-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-GDP (current US$)+2\n", - "Statistical=0.915, p=0.015\n", - "BGD-GDP (current US$)+3\n", - "Statistical=0.971, p=0.529\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-GDP (current US$)+5\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-GDP (current US$)+8\n", - "Statistical=0.984, p=0.909\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-GDP (current US$)+13\n", - "Statistical=0.857, p=0.001\n", - "BGD-GDP (current US$)+21\n", - "Statistical=0.857, p=0.001\n", - "BGD-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.793, p=0.000\n", - "BGD-Deposit interest rate (%)\n", - "Statistical=0.803, p=0.000\n", - "BGD-Other taxes (% of revenue)\n", - "Statistical=0.885, p=0.003\n", - "BGD-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.964, p=0.348\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Taxes on international trade (% of revenue)\n", - "Statistical=0.962, p=0.303\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.960, p=0.267\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Broad money (% of GDP)\n", - "Statistical=0.958, p=0.242\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Broad money growth (annual %)\n", - "Statistical=0.953, p=0.173\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Broad money to total reserves ratio\n", - "Statistical=0.948, p=0.123\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.922, p=0.024\n", - "BGD-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.839, p=0.000\n", - "BGD-External health expenditure (% of current health expenditure)\n", - "Statistical=0.765, p=0.000\n", - "BGD-External health expenditure per capita (current US$)\n", - "Statistical=0.626, p=0.000\n", - "BGD-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.861, p=0.001\n", - "BGD-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.853, p=0.000\n", - "BGD-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.957, p=0.224\n", - "Data is NORMAL ( H0 not denied )\n", - "BGD-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.875, p=0.002\n", - "BGD-People practicing open defecation (% of population)\n", - "Statistical=0.895, p=0.005\n", - "BGD-Taxes on exports (% of tax revenue)\n", - "Statistical=0.906, p=0.009\n", - "BGD-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.912, p=0.013\n", - "BGD-Country\n", - "Statistical=0.797, p=0.000\n", - "BGD-Year\n", - "Statistical=0.678, p=0.000\n", - "BGD-Continent\n", - "Statistical=0.781, p=0.000\n", - "IND-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Adjusted net national income (current US$)\n", - "Statistical=0.811, p=0.000\n", - "IND-Adjusted net national income per capita (current US$)\n", - "Statistical=0.736, p=0.000\n", - "IND-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.850, p=0.000\n", - "IND-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.911, p=0.012\n", - "IND-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.901, p=0.006\n", - "IND-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.605, p=0.000\n", - "IND-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.596, p=0.000\n", - "IND-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.614, p=0.000\n", - "IND-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.607, p=0.000\n", - "IND-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.596, p=0.000\n", - "IND-Age dependency ratio (% of working-age population)\n", - "Statistical=0.589, p=0.000\n", - "IND-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.611, p=0.000\n", - "IND-Agricultural land (% of land area)\n", - "Statistical=0.569, p=0.000\n", - "IND-Agricultural land (sq. km)\n", - "Statistical=0.600, p=0.000\n", - "IND-Agricultural methane emissions (% of total)\n", - "Statistical=0.814, p=0.000\n", - "IND-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.798, p=0.000\n", - "IND-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.812, p=0.000\n", - "IND-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.974, p=0.631\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.886, p=0.003\n", - "IND-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.854, p=0.001\n", - "IND-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.977, p=0.715\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Aquaculture production (metric tons)\n", - "Statistical=0.889, p=0.003\n", - "IND-Arable land (% of land area)\n", - "Statistical=0.856, p=0.001\n", - "IND-Arable land (hectares per person)\n", - "Statistical=0.945, p=0.105\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Arable land (hectares)\n", - "Statistical=0.848, p=0.000\n", - "IND-Armed forces personnel (% of total labor force)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.849, p=0.000\n", - "IND-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.965, p=0.366\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.857, p=0.001\n", - "IND-Average precipitation in depth (mm per year)\n", - "Statistical=0.960, p=0.271\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Average time to clear exports through customs (days)\n", - "Statistical=0.858, p=0.001\n", - "IND-Births attended by skilled health staff (% of total)\n", - "Statistical=0.748, p=0.000\n", - "IND-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.868, p=0.001\n", - "IND-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.958, p=0.244\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.898, p=0.006\n", - "IND-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-CO2 emissions (kt)\n", - "Statistical=0.863, p=0.001\n", - "IND-CO2 emissions (metric tons per capita)\n", - "Statistical=0.823, p=0.000\n", - "IND-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.930, p=0.038\n", - "IND-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=0.952, p=0.165\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=0.836, p=0.000\n", - "IND-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.948, p=0.129\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.844, p=0.000\n", - "IND-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.871, p=0.001\n", - "IND-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.818, p=0.000\n", - "IND-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.560, p=0.000\n", - "IND-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.560, p=0.000\n", - "IND-Capture fisheries production (metric tons)\n", - "Statistical=0.560, p=0.000\n", - "IND-Cereal production (metric tons)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Cereal yield (kg per hectare)\n", - "Statistical=0.927, p=0.033\n", - "IND-Changes in inventories (current US$)\n", - "Statistical=0.943, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.825, p=0.000\n", - "IND-Children out of school (% of primary school age)\n", - "Statistical=0.849, p=0.000\n", - "IND-Coal rents (% of GDP)\n", - "Statistical=0.849, p=0.000\n", - "IND-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.706, p=0.000\n", - "IND-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.707, p=0.000\n", - "IND-Commercial service exports (current US$)\n", - "Statistical=0.723, p=0.000\n", - "IND-Commercial service imports (current US$)\n", - "Statistical=0.904, p=0.008\n", - "IND-Completeness of birth registration (%)\n", - "Statistical=0.694, p=0.000\n", - "IND-Consumer price index (2010 = 100)\n", - "Statistical=0.893, p=0.004\n", - "IND-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.928, p=0.035\n", - "IND-Crop production index (2014-2016 = 100)\n", - "Statistical=0.862, p=0.001\n", - "IND-Current account balance (% of GDP)\n", - "Statistical=0.817, p=0.000\n", - "IND-Current account balance (BoP, current US$)\n", - "Statistical=0.974, p=0.626\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Current health expenditure (% of GDP)\n", - "Statistical=0.931, p=0.041\n", - "IND-Current health expenditure per capita (current US$)\n", - "Statistical=0.931, p=0.041\n", - "IND-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.830, p=0.000\n", - "IND-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.845, p=0.000\n", - "IND-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.839, p=0.000\n", - "IND-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.853, p=0.000\n", - "IND-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.867, p=0.001\n", - "IND-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.886, p=0.003\n", - "IND-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.851, p=0.000\n", - "IND-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.837, p=0.000\n", - "IND-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.773, p=0.000\n", - "IND-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.879, p=0.002\n", - "IND-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.904, p=0.008\n", - "IND-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.904, p=0.008\n", - "IND-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.898, p=0.005\n", - "IND-Electric power consumption (kWh per capita)\n", - "Statistical=0.876, p=0.002\n", - "IND-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.915, p=0.016\n", - "IND-Electricity production from coal sources (% of total)\n", - "Statistical=0.876, p=0.002\n", - "IND-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.895, p=0.005\n", - "IND-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.870, p=0.001\n", - "IND-Electricity production from oil sources (% of total)\n", - "Statistical=0.931, p=0.041\n", - "IND-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.704, p=0.000\n", - "IND-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.714, p=0.000\n", - "IND-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.679, p=0.000\n", - "IND-Energy related methane emissions (% of total)\n", - "Statistical=0.875, p=0.002\n", - "IND-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.732, p=0.000\n", - "IND-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.933, p=0.047\n", - "IND-Export unit value index (2000 = 100)\n", - "Statistical=0.827, p=0.000\n", - "IND-Export value index (2000 = 100)\n", - "Statistical=0.760, p=0.000\n", - "IND-Export volume index (2000 = 100)\n", - "Statistical=0.755, p=0.000\n", - "IND-Exports of goods and services (% of GDP)\n", - "Statistical=0.816, p=0.000\n", - "IND-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.893, p=0.004\n", - "IND-Exports of goods and services (current US$)\n", - "Statistical=0.831, p=0.000\n", - "IND-External balance on goods and services (% of GDP)\n", - "Statistical=0.964, p=0.351\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-External balance on goods and services (current US$)\n", - "Statistical=0.891, p=0.004\n", - "IND-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.563, p=0.000\n", - "IND-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Final consumption expenditure (% of GDP)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Final consumption expenditure (current US$)\n", - "Statistical=0.892, p=0.004\n", - "IND-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.889, p=0.003\n", - "IND-Firms offering formal training (% of firms)\n", - "Statistical=0.883, p=0.002\n", - "IND-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.891, p=0.004\n", - "IND-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.923, p=0.024\n", - "IND-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.860, p=0.001\n", - "IND-Fixed broadband subscriptions\n", - "Statistical=0.921, p=0.021\n", - "IND-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.885, p=0.003\n", - "IND-Fixed telephone subscriptions\n", - "Statistical=0.892, p=0.004\n", - "IND-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.888, p=0.003\n", - "IND-Food exports (% of merchandise exports)\n", - "Statistical=0.882, p=0.002\n", - "IND-Food imports (% of merchandise imports)\n", - "Statistical=0.979, p=0.761\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Food production index (2014-2016 = 100)\n", - "Statistical=0.862, p=0.001\n", - "IND-Forest area (% of land area)\n", - "Statistical=0.951, p=0.153\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Forest area (sq. km)\n", - "Statistical=0.900, p=0.006\n", - "IND-Forest rents (% of GDP)\n", - "Statistical=0.924, p=0.027\n", - "IND-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.844, p=0.000\n", - "IND-Fuel exports (% of merchandise exports)\n", - "Statistical=0.864, p=0.001\n", - "IND-Fuel imports (% of merchandise imports)\n", - "Statistical=0.841, p=0.000\n", - "IND-GDP (current US$)\n", - "Statistical=0.924, p=0.027\n", - "IND-GDP deflator (base year varies by country)\n", - "Statistical=0.931, p=0.043\n", - "IND-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-GDP growth (annual %)\n", - "Statistical=0.973, p=0.585\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-GDP per capita (current US$)\n", - "Statistical=0.790, p=0.000\n", - "IND-GDP per capita growth (annual %)\n", - "Statistical=0.785, p=0.000\n", - "IND-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.968, p=0.446\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.832, p=0.000\n", - "IND-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.808, p=0.000\n", - "IND-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.876, p=0.002\n", - "IND-GNI (current US$)\n", - "Statistical=0.813, p=0.000\n", - "IND-GNI growth (annual %)\n", - "Statistical=0.795, p=0.000\n", - "IND-GNI per capita growth (annual %)\n", - "Statistical=0.867, p=0.001\n", - "IND-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.983, p=0.889\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-General government final consumption expenditure (current US$)\n", - "Statistical=0.923, p=0.024\n", - "IND-Gini index\n", - "Statistical=0.928, p=0.035\n", - "IND-Goods exports (BoP, current US$)\n", - "Statistical=0.959, p=0.253\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Goods imports (BoP, current US$)\n", - "Statistical=0.899, p=0.006\n", - "IND-Grants and other revenue (% of revenue)\n", - "Statistical=0.694, p=0.000\n", - "IND-Gross capital formation (% of GDP)\n", - "Statistical=0.848, p=0.000\n", - "IND-Gross capital formation (current US$)\n", - "Statistical=0.892, p=0.004\n", - "IND-Gross domestic savings (% of GDP)\n", - "Statistical=0.780, p=0.000\n", - "IND-Gross domestic savings (current US$)\n", - "Statistical=0.928, p=0.035\n", - "IND-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.719, p=0.000\n", - "IND-Gross fixed capital formation (current US$)\n", - "Statistical=0.727, p=0.000\n", - "IND-Gross national expenditure (% of GDP)\n", - "Statistical=0.727, p=0.000\n", - "IND-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.806, p=0.000\n", - "IND-Gross savings (% of GDP)\n", - "Statistical=0.891, p=0.004\n", - "IND-Gross savings (current US$)\n", - "Statistical=0.895, p=0.005\n", - "IND-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.837, p=0.000\n", - "IND-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.813, p=0.000\n", - "IND-High-technology exports (% of manufactured exports)\n", - "Statistical=0.788, p=0.000\n", - "IND-High-technology exports (current US$)\n", - "Statistical=0.962, p=0.312\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Hospital beds (per 1,000 people)\n", - "Statistical=0.809, p=0.000\n", - "IND-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.846, p=0.000\n", - "IND-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.540, p=0.000\n", - "IND-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.540, p=0.000\n", - "IND-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.540, p=0.000\n", - "IND-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=0.420, p=0.000\n", - "IND-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=0.457, p=0.000\n", - "IND-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=0.413, p=0.000\n", - "IND-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=0.447, p=0.000\n", - "IND-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.909, p=0.010\n", - "IND-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.959, p=0.255\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.920, p=0.021\n", - "IND-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.669, p=0.000\n", - "IND-ICT goods exports (% of total goods exports)\n", - "Statistical=0.686, p=0.000\n", - "IND-ICT goods imports (% total goods imports)\n", - "Statistical=0.688, p=0.000\n", - "IND-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.879, p=0.002\n", - "IND-ICT service exports (BoP, current US$)\n", - "Statistical=0.809, p=0.000\n", - "IND-Import unit value index (2000 = 100)\n", - "Statistical=0.828, p=0.000\n", - "IND-Import value index (2000 = 100)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Import volume index (2000 = 100)\n", - "Statistical=0.891, p=0.004\n", - "IND-Imports of goods and services (% of GDP)\n", - "Statistical=0.957, p=0.228\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.876, p=0.002\n", - "IND-Imports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "IND-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Income share held by highest 20%\n", - "Statistical=0.972, p=0.570\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Income share held by lowest 10%\n", - "Statistical=0.828, p=0.000\n", - "IND-Income share held by lowest 20%\n", - "Statistical=0.828, p=0.000\n", - "IND-Income share held by second 20%\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Income share held by third 20%\n", - "Statistical=0.835, p=0.000\n", - "IND-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.858, p=0.001\n", - "IND-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.803, p=0.000\n", - "IND-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.798, p=0.000\n", - "IND-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.844, p=0.000\n", - "IND-Individuals using the Internet (% of population)\n", - "Statistical=0.812, p=0.000\n", - "IND-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.842, p=0.000\n", - "IND-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.457, p=0.000\n", - "IND-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Intentional homicides (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Interest payments (% of revenue)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-International migrant stock (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Labor tax and contributions (% of commercial profits)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Land area (sq. km)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Land under cereal production (hectares)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.862, p=0.001\n", - "IND-Lifetime risk of maternal death (%)\n", - "Statistical=0.824, p=0.000\n", - "IND-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.876, p=0.002\n", - "IND-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.889, p=0.003\n", - "IND-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.869, p=0.001\n", - "IND-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.865, p=0.001\n", - "IND-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.920, p=0.021\n", - "IND-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.822, p=0.000\n", - "IND-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.781, p=0.000\n", - "IND-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.902, p=0.007\n", - "IND-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.932, p=0.044\n", - "IND-Low-birthweight babies (% of births)\n", - "Statistical=0.930, p=0.038\n", - "IND-Lower secondary school starting age (years)\n", - "Statistical=0.887, p=0.003\n", - "IND-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.837, p=0.000\n", - "IND-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.909, p=0.010\n", - "IND-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.840, p=0.000\n", - "IND-Marine protected areas (% of territorial waters)\n", - "Statistical=0.830, p=0.000\n", - "IND-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.859, p=0.001\n", - "IND-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.916, p=0.016\n", - "IND-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.838, p=0.000\n", - "IND-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.951, p=0.156\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.811, p=0.000\n", - "IND-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.804, p=0.000\n", - "IND-Merchandise exports (current US$)\n", - "Statistical=0.876, p=0.002\n", - "IND-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.840, p=0.000\n", - "IND-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.819, p=0.000\n", - "IND-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.820, p=0.000\n", - "IND-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.849, p=0.000\n", - "IND-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.848, p=0.000\n", - "IND-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.866, p=0.001\n", - "IND-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.833, p=0.000\n", - "IND-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.858, p=0.001\n", - "IND-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.841, p=0.000\n", - "IND-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.908, p=0.010\n", - "IND-Merchandise imports (current US$)\n", - "Statistical=0.845, p=0.000\n", - "IND-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.768, p=0.000\n", - "IND-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.854, p=0.001\n", - "IND-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.855, p=0.001\n", - "IND-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.842, p=0.000\n", - "IND-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.826, p=0.000\n", - "IND-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.870, p=0.001\n", - "IND-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.877, p=0.002\n", - "IND-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.930, p=0.039\n", - "IND-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.830, p=0.000\n", - "IND-Merchandise trade (% of GDP)\n", - "Statistical=0.970, p=0.486\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Methane emissions (% change from 1990)\n", - "Statistical=0.868, p=0.001\n", - "IND-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.868, p=0.001\n", - "IND-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.831, p=0.000\n", - "IND-Military expenditure (% of GDP)\n", - "Statistical=0.831, p=0.000\n", - "IND-Military expenditure (% of general government expenditure)\n", - "Statistical=0.834, p=0.000\n", - "IND-Military expenditure (current USD)\n", - "Statistical=0.945, p=0.107\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Mineral rents (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Mobile cellular subscriptions\n", - "Statistical=0.823, p=0.000\n", - "IND-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.835, p=0.000\n", - "IND-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.831, p=0.000\n", - "IND-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.916, p=0.016\n", - "IND-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.875, p=0.001\n", - "IND-Natural gas rents (% of GDP)\n", - "Statistical=0.923, p=0.026\n", - "IND-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Net capital account (BoP, current US$)\n", - "Statistical=0.882, p=0.002\n", - "IND-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.924, p=0.027\n", - "IND-Net financial account (BoP, current US$)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Net migration\n", - "Statistical=0.898, p=0.005\n", - "IND-Net primary income (BoP, current US$)\n", - "Statistical=0.898, p=0.005\n", - "IND-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.824, p=0.000\n", - "IND-Net secondary income (BoP, current US$)\n", - "Statistical=0.856, p=0.001\n", - "IND-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.714, p=0.000\n", - "IND-Net trade in goods (BoP, current US$)\n", - "Statistical=0.714, p=0.000\n", - "IND-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.714, p=0.000\n", - "IND-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-New businesses registered (number)\n", - "Statistical=0.714, p=0.000\n", - "IND-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.777, p=0.000\n", - "IND-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.773, p=0.000\n", - "IND-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.969, p=0.479\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Number of deaths ages 10-14 years\n", - "Statistical=0.964, p=0.354\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Number of deaths ages 15-19 years\n", - "Statistical=0.922, p=0.024\n", - "IND-Number of deaths ages 20-24 years\n", - "Statistical=0.957, p=0.222\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Number of deaths ages 5-9 years\n", - "Statistical=0.910, p=0.011\n", - "IND-Number of infant deaths\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Number of maternal deaths\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Number of neonatal deaths\n", - "Statistical=0.956, p=0.207\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Number of under-five deaths\n", - "Statistical=0.855, p=0.001\n", - "IND-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.913, p=0.013\n", - "IND-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.830, p=0.000\n", - "IND-Oil rents (% of GDP)\n", - "Statistical=0.964, p=0.344\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.964, p=0.344\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.964, p=0.349\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.901, p=0.006\n", - "IND-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.908, p=0.010\n", - "IND-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.973, p=0.589\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.899, p=0.006\n", - "IND-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.899, p=0.006\n", - "IND-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.831, p=0.000\n", - "IND-People using at least basic drinking water services (% of population)\n", - "Statistical=0.857, p=0.001\n", - "IND-People using at least basic sanitation services (% of population)\n", - "Statistical=0.910, p=0.011\n", - "IND-People using safely managed sanitation services (% of population)\n", - "Statistical=0.910, p=0.011\n", - "IND-Permanent cropland (% of land area)\n", - "Statistical=0.930, p=0.039\n", - "IND-Physicians (per 1,000 people)\n", - "Statistical=0.904, p=0.008\n", - "IND-Population ages 0-14 (% of total population)\n", - "Statistical=0.904, p=0.008\n", - "IND-Population ages 15-64 (% of total population)\n", - "Statistical=0.844, p=0.000\n", - "IND-Population ages 65 and above (% of total population)\n", - "Statistical=0.860, p=0.001\n", - "IND-Population density (people per sq. km of land area)\n", - "Statistical=0.928, p=0.034\n", - "IND-Population growth (annual %)\n", - "Statistical=0.904, p=0.008\n", - "IND-Population in largest city\n", - "Statistical=0.905, p=0.008\n", - "IND-Population in the largest city (% of urban population)\n", - "Statistical=0.875, p=0.002\n", - "IND-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.866, p=0.001\n", - "IND-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.872, p=0.001\n", - "IND-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.899, p=0.006\n", - "IND-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.895, p=0.005\n", - "IND-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.831, p=0.000\n", - "IND-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.900, p=0.006\n", - "IND-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.900, p=0.006\n", - "IND-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.831, p=0.000\n", - "IND-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.858, p=0.001\n", - "IND-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.911, p=0.012\n", - "IND-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.907, p=0.009\n", - "IND-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.907, p=0.009\n", - "IND-Prevalence of undernourishment (% of population)\n", - "Statistical=0.845, p=0.000\n", - "IND-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Statistical=0.908, p=0.010\n", - "IND-Primary income payments (BoP, current US$)\n", - "Statistical=0.856, p=0.001\n", - "IND-Primary income receipts (BoP, current US$)\n", - "Statistical=0.907, p=0.009\n", - "IND-Primary school starting age (years)\n", - "Statistical=0.907, p=0.009\n", - "IND-Private credit bureau coverage (% of adults)\n", - "Statistical=0.855, p=0.001\n", - "IND-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.900, p=0.006\n", - "IND-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.897, p=0.005\n", - "IND-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.831, p=0.000\n", - "IND-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.971, p=0.518\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Procedures to build a warehouse (number)\n", - "Statistical=0.955, p=0.202\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Procedures to register property (number)\n", - "Statistical=0.896, p=0.005\n", - "IND-Profit tax (% of commercial profits)\n", - "Statistical=0.896, p=0.005\n", - "IND-Progression to secondary school (%)\n", - "Statistical=0.827, p=0.000\n", - "IND-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.859, p=0.001\n", - "IND-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.830, p=0.000\n", - "IND-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.828, p=0.000\n", - "IND-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.825, p=0.000\n", - "IND-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.824, p=0.000\n", - "IND-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.889, p=0.003\n", - "IND-Public credit registry coverage (% of adults)\n", - "Statistical=0.926, p=0.031\n", - "IND-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.798, p=0.000\n", - "IND-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.782, p=0.000\n", - "IND-Rail lines (total route-km)\n", - "Statistical=0.893, p=0.004\n", - "IND-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.888, p=0.003\n", - "IND-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.907, p=0.009\n", - "IND-Refugee population by country or territory of asylum\n", - "Statistical=0.917, p=0.017\n", - "IND-Refugee population by country or territory of origin\n", - "Statistical=0.969, p=0.481\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.886, p=0.003\n", - "IND-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.886, p=0.003\n", - "IND-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.856, p=0.001\n", - "IND-Research and development expenditure (% of GDP)\n", - "Statistical=0.848, p=0.000\n", - "IND-Researchers in R&D (per million people)\n", - "Statistical=0.899, p=0.006\n", - "IND-Reserves and related items (BoP, current US$)\n", - "Statistical=0.924, p=0.027\n", - "IND-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.838, p=0.000\n", - "IND-Rural land area (sq. km)\n", - "Statistical=0.850, p=0.000\n", - "IND-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.987, p=0.954\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Rural population\n", - "Statistical=0.893, p=0.004\n", - "IND-Rural population (% of total population)\n", - "Statistical=0.893, p=0.004\n", - "IND-Rural population growth (annual %)\n", - "Statistical=0.856, p=0.001\n", - "IND-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.862, p=0.001\n", - "IND-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.890, p=0.003\n", - "IND-Scientific and technical journal articles\n", - "Statistical=0.775, p=0.000\n", - "IND-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.888, p=0.003\n", - "IND-Secure Internet servers\n", - "Statistical=0.912, p=0.012\n", - "IND-Secure Internet servers (per 1 million people)\n", - "Statistical=0.899, p=0.006\n", - "IND-Service exports (BoP, current US$)\n", - "Statistical=0.899, p=0.006\n", - "IND-Service imports (BoP, current US$)\n", - "Statistical=0.838, p=0.000\n", - "IND-Sex ratio at birth (male births per female births)\n", - "Statistical=0.862, p=0.001\n", - "IND-Social contributions (% of revenue)\n", - "Statistical=0.916, p=0.016\n", - "IND-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Start-up procedures to register a business (number)\n", - "Statistical=0.947, p=0.116\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.844, p=0.000\n", - "IND-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.852, p=0.000\n", - "IND-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.901, p=0.007\n", - "IND-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.901, p=0.007\n", - "IND-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.834, p=0.000\n", - "IND-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.858, p=0.001\n", - "IND-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.837, p=0.000\n", - "IND-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.784, p=0.000\n", - "IND-Surface area (sq. km)\n", - "Statistical=0.675, p=0.000\n", - "IND-Tax payments (number)\n", - "Statistical=0.952, p=0.166\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Tax revenue (% of GDP)\n", - "Statistical=0.957, p=0.223\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Taxes less subsidies on products (current US$)\n", - "Statistical=0.899, p=0.006\n", - "IND-Taxes on goods and services (% of revenue)\n", - "Statistical=0.899, p=0.006\n", - "IND-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.825, p=0.000\n", - "IND-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.857, p=0.001\n", - "IND-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.898, p=0.005\n", - "IND-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.961, p=0.292\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Time required to build a warehouse (days)\n", - "Statistical=0.899, p=0.006\n", - "IND-Time required to enforce a contract (days)\n", - "Statistical=0.886, p=0.003\n", - "IND-Time required to get electricity (days)\n", - "Statistical=0.922, p=0.024\n", - "IND-Time required to register property (days)\n", - "Statistical=0.825, p=0.000\n", - "IND-Time required to start a business (days)\n", - "Statistical=0.400, p=0.000\n", - "IND-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.400, p=0.000\n", - "IND-Time to obtain an electrical connection (days)\n", - "Statistical=0.400, p=0.000\n", - "IND-Time to prepare and pay taxes (hours)\n", - "Statistical=0.401, p=0.000\n", - "IND-Time to resolve insolvency (years)\n", - "Statistical=0.399, p=0.000\n", - "IND-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.399, p=0.000\n", - "IND-Total fisheries production (metric tons)\n", - "Statistical=0.398, p=0.000\n", - "IND-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.400, p=0.000\n", - "IND-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.400, p=0.000\n", - "IND-Total natural resources rents (% of GDP)\n", - "Statistical=0.905, p=0.008\n", - "IND-Total reserves (includes gold, current US$)\n", - "Statistical=0.878, p=0.002\n", - "IND-Total reserves in months of imports\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Total reserves minus gold (current US$)\n", - "Statistical=0.833, p=0.000\n", - "IND-Total tax and contribution rate (% of profit)\n", - "Statistical=0.890, p=0.003\n", - "IND-Trade (% of GDP)\n", - "Statistical=0.720, p=0.000\n", - "IND-Trade in services (% of GDP)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Transport services (% of commercial service exports)\n", - "Statistical=0.921, p=0.022\n", - "IND-Transport services (% of commercial service imports)\n", - "Statistical=0.833, p=0.000\n", - "IND-Transport services (% of service exports, BoP)\n", - "Statistical=0.864, p=0.001\n", - "IND-Transport services (% of service imports, BoP)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Travel services (% of commercial service exports)\n", - "Statistical=0.835, p=0.000\n", - "IND-Travel services (% of commercial service imports)\n", - "Statistical=0.971, p=0.537\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Travel services (% of service exports, BoP)\n", - "Statistical=0.870, p=0.001\n", - "IND-Travel services (% of service imports, BoP)\n", - "Statistical=0.870, p=0.001\n", - "IND-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.838, p=0.000\n", - "IND-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.836, p=0.000\n", - "IND-UHC service coverage index\n", - "Statistical=0.834, p=0.000\n", - "IND-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.807, p=0.000\n", - "IND-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.699, p=0.000\n", - "IND-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.812, p=0.000\n", - "IND-Urban land area (sq. km)\n", - "Statistical=0.820, p=0.000\n", - "IND-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.792, p=0.000\n", - "IND-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.856, p=0.001\n", - "IND-Urban population\n", - "Statistical=0.832, p=0.000\n", - "IND-Urban population (% of total population)\n", - "Statistical=0.791, p=0.000\n", - "IND-Urban population growth (annual %)\n", - "Statistical=0.711, p=0.000\n", - "IND-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.711, p=0.000\n", - "IND-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.811, p=0.000\n", - "IND-GDP (current US$)+1\n", - "Statistical=0.811, p=0.000\n", - "IND-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-GDP (current US$)+2\n", - "Statistical=0.858, p=0.001\n", - "IND-GDP (current US$)+3\n", - "Statistical=0.909, p=0.011\n", - "IND-GDP (current US$)+5\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-GDP (current US$)+8\n", - "Statistical=0.970, p=0.499\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-GDP (current US$)+13\n", - "Statistical=0.899, p=0.006\n", - "IND-GDP (current US$)+21\n", - "Statistical=0.899, p=0.006\n", - "IND-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.850, p=0.000\n", - "IND-Deposit interest rate (%)\n", - "Statistical=0.854, p=0.001\n", - "IND-Other taxes (% of revenue)\n", - "Statistical=0.919, p=0.019\n", - "IND-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Taxes on international trade (% of revenue)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.917, p=0.018\n", - "IND-Broad money (% of GDP)\n", - "Statistical=0.949, p=0.134\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Broad money growth (annual %)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Broad money to total reserves ratio\n", - "Statistical=0.949, p=0.133\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "IND-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.905, p=0.008\n", - "IND-External health expenditure (% of current health expenditure)\n", - "Statistical=0.843, p=0.000\n", - "IND-External health expenditure per capita (current US$)\n", - "Statistical=0.783, p=0.000\n", - "IND-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.881, p=0.002\n", - "IND-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.881, p=0.002\n", - "IND-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.921, p=0.022\n", - "IND-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.848, p=0.000\n", - "IND-People practicing open defecation (% of population)\n", - "Statistical=0.875, p=0.001\n", - "IND-Taxes on exports (% of tax revenue)\n", - "Statistical=0.890, p=0.003\n", - "IND-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.748, p=0.000\n", - "IND-Country\n", - "Statistical=0.821, p=0.000\n", - "IND-Year\n", - "Statistical=0.841, p=0.000\n", - "IND-Continent\n", - "Statistical=0.829, p=0.000\n", - "VNM-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Adjusted net national income (current US$)\n", - "Statistical=0.832, p=0.000\n", - "VNM-Adjusted net national income per capita (current US$)\n", - "Statistical=0.834, p=0.000\n", - "VNM-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.772, p=0.000\n", - "VNM-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.829, p=0.000\n", - "VNM-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.835, p=0.000\n", - "VNM-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.845, p=0.000\n", - "VNM-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.605, p=0.000\n", - "VNM-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.622, p=0.000\n", - "VNM-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.617, p=0.000\n", - "VNM-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.612, p=0.000\n", - "VNM-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.616, p=0.000\n", - "VNM-Age dependency ratio (% of working-age population)\n", - "Statistical=0.634, p=0.000\n", - "VNM-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.621, p=0.000\n", - "VNM-Agricultural land (% of land area)\n", - "Statistical=0.618, p=0.000\n", - "VNM-Agricultural land (sq. km)\n", - "Statistical=0.635, p=0.000\n", - "VNM-Agricultural methane emissions (% of total)\n", - "Statistical=0.736, p=0.000\n", - "VNM-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.918, p=0.019\n", - "VNM-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.865, p=0.001\n", - "VNM-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.851, p=0.000\n", - "VNM-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.923, p=0.025\n", - "VNM-Aquaculture production (metric tons)\n", - "Statistical=0.871, p=0.001\n", - "VNM-Arable land (% of land area)\n", - "Statistical=0.862, p=0.001\n", - "VNM-Arable land (hectares per person)\n", - "Statistical=0.869, p=0.001\n", - "VNM-Arable land (hectares)\n", - "Statistical=0.860, p=0.001\n", - "VNM-Armed forces personnel (% of total labor force)\n", - "Statistical=0.862, p=0.001\n", - "VNM-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.866, p=0.001\n", - "VNM-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.858, p=0.001\n", - "VNM-Average precipitation in depth (mm per year)\n", - "Statistical=0.846, p=0.000\n", - "VNM-Average time to clear exports through customs (days)\n", - "Statistical=0.848, p=0.000\n", - "VNM-Births attended by skilled health staff (% of total)\n", - "Statistical=0.902, p=0.007\n", - "VNM-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.838, p=0.000\n", - "VNM-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.905, p=0.008\n", - "VNM-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.903, p=0.008\n", - "VNM-CO2 emissions (kt)\n", - "Statistical=0.803, p=0.000\n", - "VNM-CO2 emissions (metric tons per capita)\n", - "Statistical=0.804, p=0.000\n", - "VNM-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=0.906, p=0.009\n", - "VNM-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=0.836, p=0.000\n", - "VNM-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.932, p=0.044\n", - "VNM-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.880, p=0.002\n", - "VNM-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.770, p=0.000\n", - "VNM-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.826, p=0.000\n", - "VNM-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.983, p=0.887\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.624, p=0.000\n", - "VNM-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Capture fisheries production (metric tons)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Cereal production (metric tons)\n", - "Statistical=0.846, p=0.000\n", - "VNM-Cereal yield (kg per hectare)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Changes in inventories (current US$)\n", - "Statistical=0.834, p=0.000\n", - "VNM-Chemicals (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Children out of school (% of primary school age)\n", - "Statistical=0.899, p=0.006\n", - "VNM-Coal rents (% of GDP)\n", - "Statistical=0.910, p=0.011\n", - "VNM-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.624, p=0.000\n", - "VNM-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.601, p=0.000\n", - "VNM-Commercial service exports (current US$)\n", - "Statistical=0.788, p=0.000\n", - "VNM-Commercial service imports (current US$)\n", - "Statistical=0.803, p=0.000\n", - "VNM-Completeness of birth registration (%)\n", - "Statistical=0.898, p=0.005\n", - "VNM-Consumer price index (2010 = 100)\n", - "Statistical=0.925, p=0.029\n", - "VNM-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.909, p=0.010\n", - "VNM-Crop production index (2014-2016 = 100)\n", - "Statistical=0.908, p=0.010\n", - "VNM-Current account balance (% of GDP)\n", - "Statistical=0.927, p=0.033\n", - "VNM-Current account balance (BoP, current US$)\n", - "Statistical=0.968, p=0.452\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Current health expenditure (% of GDP)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Current health expenditure per capita (current US$)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.842, p=0.000\n", - "VNM-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.860, p=0.001\n", - "VNM-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.914, p=0.014\n", - "VNM-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.879, p=0.002\n", - "VNM-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.820, p=0.000\n", - "VNM-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.850, p=0.000\n", - "VNM-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.889, p=0.003\n", - "VNM-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.741, p=0.000\n", - "VNM-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.655, p=0.000\n", - "VNM-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.771, p=0.000\n", - "VNM-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.763, p=0.000\n", - "VNM-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.763, p=0.000\n", - "VNM-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.862, p=0.001\n", - "VNM-Electric power consumption (kWh per capita)\n", - "Statistical=0.867, p=0.001\n", - "VNM-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.942, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Electricity production from coal sources (% of total)\n", - "Statistical=0.899, p=0.006\n", - "VNM-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.801, p=0.000\n", - "VNM-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.812, p=0.000\n", - "VNM-Electricity production from nuclear sources (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Electricity production from oil sources (% of total)\n", - "Statistical=0.800, p=0.000\n", - "VNM-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.754, p=0.000\n", - "VNM-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.657, p=0.000\n", - "VNM-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.634, p=0.000\n", - "VNM-Energy related methane emissions (% of total)\n", - "Statistical=0.648, p=0.000\n", - "VNM-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.637, p=0.000\n", - "VNM-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.715, p=0.000\n", - "VNM-Export unit value index (2000 = 100)\n", - "Statistical=0.848, p=0.000\n", - "VNM-Export value index (2000 = 100)\n", - "Statistical=0.614, p=0.000\n", - "VNM-Export volume index (2000 = 100)\n", - "Statistical=0.614, p=0.000\n", - "VNM-Exports of goods and services (% of GDP)\n", - "Statistical=0.614, p=0.000\n", - "VNM-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.905, p=0.008\n", - "VNM-Exports of goods and services (current US$)\n", - "Statistical=0.761, p=0.000\n", - "VNM-External balance on goods and services (% of GDP)\n", - "Statistical=0.888, p=0.003\n", - "VNM-External balance on goods and services (current US$)\n", - "Statistical=0.856, p=0.001\n", - "VNM-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.565, p=0.000\n", - "VNM-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.923, p=0.025\n", - "VNM-Final consumption expenditure (% of GDP)\n", - "Statistical=0.923, p=0.025\n", - "VNM-Final consumption expenditure (current US$)\n", - "Statistical=0.978, p=0.735\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.889, p=0.003\n", - "VNM-Firms offering formal training (% of firms)\n", - "Statistical=0.900, p=0.006\n", - "VNM-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.881, p=0.002\n", - "VNM-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.866, p=0.001\n", - "VNM-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.831, p=0.000\n", - "VNM-Fixed broadband subscriptions\n", - "Statistical=0.899, p=0.006\n", - "VNM-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.899, p=0.006\n", - "VNM-Fixed telephone subscriptions\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.855, p=0.001\n", - "VNM-Food exports (% of merchandise exports)\n", - "Statistical=0.843, p=0.000\n", - "VNM-Food imports (% of merchandise imports)\n", - "Statistical=0.915, p=0.015\n", - "VNM-Food production index (2014-2016 = 100)\n", - "Statistical=0.885, p=0.003\n", - "VNM-Forest area (% of land area)\n", - "Statistical=0.909, p=0.010\n", - "VNM-Forest area (sq. km)\n", - "Statistical=0.843, p=0.000\n", - "VNM-Forest rents (% of GDP)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.846, p=0.000\n", - "VNM-Fuel exports (% of merchandise exports)\n", - "Statistical=0.839, p=0.000\n", - "VNM-Fuel imports (% of merchandise imports)\n", - "Statistical=0.837, p=0.000\n", - "VNM-GDP (current US$)\n", - "Statistical=0.901, p=0.007\n", - "VNM-GDP deflator (base year varies by country)\n", - "Statistical=0.911, p=0.012\n", - "VNM-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.829, p=0.000\n", - "VNM-GDP growth (annual %)\n", - "Statistical=0.840, p=0.000\n", - "VNM-GDP per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.919, p=0.019\n", - "VNM-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.604, p=0.000\n", - "VNM-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-GNI (current US$)\n", - "Statistical=0.610, p=0.000\n", - "VNM-GNI growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-GNI per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.958, p=0.247\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-General government final consumption expenditure (current US$)\n", - "Statistical=0.890, p=0.003\n", - "VNM-Gini index\n", - "Statistical=0.924, p=0.027\n", - "VNM-Goods exports (BoP, current US$)\n", - "Statistical=0.812, p=0.000\n", - "VNM-Goods imports (BoP, current US$)\n", - "Statistical=0.844, p=0.000\n", - "VNM-Grants and other revenue (% of revenue)\n", - "Statistical=0.703, p=0.000\n", - "VNM-Gross capital formation (% of GDP)\n", - "Statistical=0.855, p=0.001\n", - "VNM-Gross capital formation (current US$)\n", - "Statistical=0.825, p=0.000\n", - "VNM-Gross domestic savings (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Gross domestic savings (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.829, p=0.000\n", - "VNM-Gross fixed capital formation (current US$)\n", - "Statistical=0.732, p=0.000\n", - "VNM-Gross national expenditure (% of GDP)\n", - "Statistical=0.732, p=0.000\n", - "VNM-Gross national expenditure (current US$)\n", - "Statistical=0.717, p=0.000\n", - "VNM-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Gross savings (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Gross savings (current US$)\n", - "Statistical=0.820, p=0.000\n", - "VNM-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.799, p=0.000\n", - "VNM-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.964, p=0.361\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-High-technology exports (% of manufactured exports)\n", - "Statistical=0.825, p=0.000\n", - "VNM-High-technology exports (current US$)\n", - "Statistical=0.850, p=0.000\n", - "VNM-Hospital beds (per 1,000 people)\n", - "Statistical=0.884, p=0.002\n", - "VNM-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.868, p=0.001\n", - "VNM-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.761, p=0.000\n", - "VNM-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.761, p=0.000\n", - "VNM-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.761, p=0.000\n", - "VNM-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=0.438, p=0.000\n", - "VNM-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=0.438, p=0.000\n", - "VNM-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.924, p=0.026\n", - "VNM-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.919, p=0.019\n", - "VNM-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.930, p=0.039\n", - "VNM-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.756, p=0.000\n", - "VNM-ICT goods exports (% of total goods exports)\n", - "Statistical=0.717, p=0.000\n", - "VNM-ICT goods imports (% total goods imports)\n", - "Statistical=0.703, p=0.000\n", - "VNM-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.865, p=0.001\n", - "VNM-ICT service exports (BoP, current US$)\n", - "Statistical=0.801, p=0.000\n", - "VNM-Import unit value index (2000 = 100)\n", - "Statistical=0.807, p=0.000\n", - "VNM-Import value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Import volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Imports of goods and services (% of GDP)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.887, p=0.003\n", - "VNM-Imports of goods and services (current US$)\n", - "Statistical=0.965, p=0.369\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=0.511, p=0.000\n", - "VNM-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "VNM-Income share held by highest 10%\n", - "Statistical=0.651, p=0.000\n", - "VNM-Income share held by highest 20%\n", - "Statistical=0.834, p=0.000\n", - "VNM-Income share held by lowest 10%\n", - "Statistical=0.900, p=0.006\n", - "VNM-Income share held by lowest 20%\n", - "Statistical=0.900, p=0.006\n", - "VNM-Income share held by second 20%\n", - "Statistical=0.827, p=0.000\n", - "VNM-Income share held by third 20%\n", - "Statistical=0.830, p=0.000\n", - "VNM-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.892, p=0.004\n", - "VNM-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.787, p=0.000\n", - "VNM-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.791, p=0.000\n", - "VNM-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.828, p=0.000\n", - "VNM-Individuals using the Internet (% of population)\n", - "Statistical=0.808, p=0.000\n", - "VNM-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.812, p=0.000\n", - "VNM-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.494, p=0.000\n", - "VNM-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.676, p=0.000\n", - "VNM-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.676, p=0.000\n", - "VNM-Intentional homicides (per 100,000 people)\n", - "Statistical=0.676, p=0.000\n", - "VNM-Interest payments (% of revenue)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-International migrant stock (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.676, p=0.000\n", - "VNM-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.676, p=0.000\n", - "VNM-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.676, p=0.000\n", - "VNM-Land area (sq. km)\n", - "Statistical=0.676, p=0.000\n", - "VNM-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.676, p=0.000\n", - "VNM-Land under cereal production (hectares)\n", - "Statistical=0.676, p=0.000\n", - "VNM-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.846, p=0.000\n", - "VNM-Lifetime risk of maternal death (%)\n", - "Statistical=0.796, p=0.000\n", - "VNM-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.868, p=0.001\n", - "VNM-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.873, p=0.001\n", - "VNM-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.826, p=0.000\n", - "VNM-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.868, p=0.001\n", - "VNM-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.927, p=0.033\n", - "VNM-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.949, p=0.137\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Low-birthweight babies (% of births)\n", - "Statistical=0.945, p=0.103\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Lower secondary school starting age (years)\n", - "Statistical=0.907, p=0.010\n", - "VNM-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.909, p=0.011\n", - "VNM-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.902, p=0.007\n", - "VNM-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.905, p=0.008\n", - "VNM-Marine protected areas (% of territorial waters)\n", - "Statistical=0.899, p=0.006\n", - "VNM-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.901, p=0.006\n", - "VNM-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.905, p=0.008\n", - "VNM-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.910, p=0.011\n", - "VNM-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.898, p=0.005\n", - "VNM-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.953, p=0.180\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.826, p=0.000\n", - "VNM-Merchandise exports (current US$)\n", - "Statistical=0.922, p=0.024\n", - "VNM-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.916, p=0.016\n", - "VNM-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.907, p=0.009\n", - "VNM-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.900, p=0.006\n", - "VNM-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.872, p=0.001\n", - "VNM-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.773, p=0.000\n", - "VNM-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.866, p=0.001\n", - "VNM-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.830, p=0.000\n", - "VNM-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.833, p=0.000\n", - "VNM-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.826, p=0.000\n", - "VNM-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.888, p=0.003\n", - "VNM-Merchandise imports (current US$)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.804, p=0.000\n", - "VNM-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.835, p=0.000\n", - "VNM-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.890, p=0.004\n", - "VNM-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.681, p=0.000\n", - "VNM-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.781, p=0.000\n", - "VNM-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.799, p=0.000\n", - "VNM-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.771, p=0.000\n", - "VNM-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.820, p=0.000\n", - "VNM-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.940, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.790, p=0.000\n", - "VNM-Merchandise trade (% of GDP)\n", - "Statistical=0.981, p=0.825\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Methane emissions (% change from 1990)\n", - "Statistical=0.839, p=0.000\n", - "VNM-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.839, p=0.000\n", - "VNM-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.776, p=0.000\n", - "VNM-Military expenditure (% of GDP)\n", - "Statistical=0.806, p=0.000\n", - "VNM-Military expenditure (% of general government expenditure)\n", - "Statistical=0.790, p=0.000\n", - "VNM-Military expenditure (current USD)\n", - "Statistical=0.914, p=0.015\n", - "VNM-Mineral rents (% of GDP)\n", - "Statistical=0.767, p=0.000\n", - "VNM-Mobile cellular subscriptions\n", - "Statistical=0.930, p=0.040\n", - "VNM-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.944, p=0.097\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.875, p=0.001\n", - "VNM-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.853, p=0.000\n", - "VNM-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.838, p=0.000\n", - "VNM-Natural gas rents (% of GDP)\n", - "Statistical=0.727, p=0.000\n", - "VNM-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.886, p=0.003\n", - "VNM-Net capital account (BoP, current US$)\n", - "Statistical=0.926, p=0.030\n", - "VNM-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.845, p=0.000\n", - "VNM-Net financial account (BoP, current US$)\n", - "Statistical=0.876, p=0.002\n", - "VNM-Net migration\n", - "Statistical=0.878, p=0.002\n", - "VNM-Net primary income (BoP, current US$)\n", - "Statistical=0.878, p=0.002\n", - "VNM-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.820, p=0.000\n", - "VNM-Net secondary income (BoP, current US$)\n", - "Statistical=0.848, p=0.000\n", - "VNM-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.657, p=0.000\n", - "VNM-Net trade in goods (BoP, current US$)\n", - "Statistical=0.657, p=0.000\n", - "VNM-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.657, p=0.000\n", - "VNM-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.657, p=0.000\n", - "VNM-New businesses registered (number)\n", - "Statistical=0.657, p=0.000\n", - "VNM-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.734, p=0.000\n", - "VNM-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.744, p=0.000\n", - "VNM-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.905, p=0.008\n", - "VNM-Number of deaths ages 10-14 years\n", - "Statistical=0.899, p=0.006\n", - "VNM-Number of deaths ages 15-19 years\n", - "Statistical=0.900, p=0.006\n", - "VNM-Number of deaths ages 20-24 years\n", - "Statistical=0.864, p=0.001\n", - "VNM-Number of deaths ages 5-9 years\n", - "Statistical=0.915, p=0.015\n", - "VNM-Number of infant deaths\n", - "Statistical=0.826, p=0.000\n", - "VNM-Number of maternal deaths\n", - "Statistical=0.814, p=0.000\n", - "VNM-Number of neonatal deaths\n", - "Statistical=0.958, p=0.237\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Number of under-five deaths\n", - "Statistical=0.839, p=0.000\n", - "VNM-Nurses and midwives (per 1,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Official exchange rate (LCU per US$, period average)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Oil rents (% of GDP)\n", - "Statistical=0.922, p=0.023\n", - "VNM-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.890, p=0.003\n", - "VNM-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.849, p=0.000\n", - "VNM-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.893, p=0.004\n", - "VNM-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.919, p=0.020\n", - "VNM-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.919, p=0.020\n", - "VNM-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.824, p=0.000\n", - "VNM-People using at least basic drinking water services (% of population)\n", - "Statistical=0.855, p=0.001\n", - "VNM-People using at least basic sanitation services (% of population)\n", - "Statistical=0.867, p=0.001\n", - "VNM-People using safely managed sanitation services (% of population)\n", - "Statistical=0.867, p=0.001\n", - "VNM-Permanent cropland (% of land area)\n", - "Statistical=0.963, p=0.332\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Physicians (per 1,000 people)\n", - "Statistical=0.928, p=0.034\n", - "VNM-Population ages 0-14 (% of total population)\n", - "Statistical=0.928, p=0.034\n", - "VNM-Population ages 15-64 (% of total population)\n", - "Statistical=0.835, p=0.000\n", - "VNM-Population ages 65 and above (% of total population)\n", - "Statistical=0.863, p=0.001\n", - "VNM-Population density (people per sq. km of land area)\n", - "Statistical=0.979, p=0.772\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Population growth (annual %)\n", - "Statistical=0.928, p=0.034\n", - "VNM-Population in largest city\n", - "Statistical=0.895, p=0.005\n", - "VNM-Population in the largest city (% of urban population)\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.913, p=0.013\n", - "VNM-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.897, p=0.005\n", - "VNM-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.919, p=0.020\n", - "VNM-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.883, p=0.002\n", - "VNM-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.824, p=0.000\n", - "VNM-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.908, p=0.010\n", - "VNM-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.908, p=0.010\n", - "VNM-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.829, p=0.000\n", - "VNM-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.861, p=0.001\n", - "VNM-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.925, p=0.028\n", - "VNM-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.916, p=0.017\n", - "VNM-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.916, p=0.017\n", - "VNM-Prevalence of undernourishment (% of population)\n", - "Statistical=0.840, p=0.000\n", - "VNM-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.932, p=0.045\n", - "VNM-Primary income payments (BoP, current US$)\n", - "Statistical=0.866, p=0.001\n", - "VNM-Primary income receipts (BoP, current US$)\n", - "Statistical=0.916, p=0.017\n", - "VNM-Primary school starting age (years)\n", - "Statistical=0.905, p=0.008\n", - "VNM-Private credit bureau coverage (% of adults)\n", - "Statistical=0.856, p=0.001\n", - "VNM-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.908, p=0.010\n", - "VNM-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.892, p=0.004\n", - "VNM-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.829, p=0.000\n", - "VNM-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.877, p=0.002\n", - "VNM-Procedures to build a warehouse (number)\n", - "Statistical=0.954, p=0.189\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Procedures to register property (number)\n", - "Statistical=0.853, p=0.000\n", - "VNM-Profit tax (% of commercial profits)\n", - "Statistical=0.853, p=0.000\n", - "VNM-Progression to secondary school (%)\n", - "Statistical=0.809, p=0.000\n", - "VNM-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.837, p=0.000\n", - "VNM-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.864, p=0.001\n", - "VNM-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.788, p=0.000\n", - "VNM-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.799, p=0.000\n", - "VNM-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.785, p=0.000\n", - "VNM-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.695, p=0.000\n", - "VNM-Public credit registry coverage (% of adults)\n", - "Statistical=0.670, p=0.000\n", - "VNM-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.693, p=0.000\n", - "VNM-Rail lines (total route-km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.961, p=0.284\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Refugee population by country or territory of asylum\n", - "Statistical=0.924, p=0.027\n", - "VNM-Refugee population by country or territory of origin\n", - "Statistical=0.977, p=0.698\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.919, p=0.020\n", - "VNM-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.919, p=0.020\n", - "VNM-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.861, p=0.001\n", - "VNM-Research and development expenditure (% of GDP)\n", - "Statistical=0.890, p=0.004\n", - "VNM-Researchers in R&D (per million people)\n", - "Statistical=0.891, p=0.004\n", - "VNM-Reserves and related items (BoP, current US$)\n", - "Statistical=0.845, p=0.000\n", - "VNM-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.831, p=0.000\n", - "VNM-Rural land area (sq. km)\n", - "Statistical=0.866, p=0.001\n", - "VNM-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.820, p=0.000\n", - "VNM-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.924, p=0.027\n", - "VNM-Rural population\n", - "Statistical=0.892, p=0.004\n", - "VNM-Rural population (% of total population)\n", - "Statistical=0.892, p=0.004\n", - "VNM-Rural population growth (annual %)\n", - "Statistical=0.852, p=0.000\n", - "VNM-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.876, p=0.002\n", - "VNM-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.875, p=0.002\n", - "VNM-Scientific and technical journal articles\n", - "Statistical=0.828, p=0.000\n", - "VNM-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.921, p=0.022\n", - "VNM-Secure Internet servers\n", - "Statistical=0.961, p=0.294\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Secure Internet servers (per 1 million people)\n", - "Statistical=0.884, p=0.002\n", - "VNM-Service exports (BoP, current US$)\n", - "Statistical=0.884, p=0.003\n", - "VNM-Service imports (BoP, current US$)\n", - "Statistical=0.833, p=0.000\n", - "VNM-Sex ratio at birth (male births per female births)\n", - "Statistical=0.863, p=0.001\n", - "VNM-Social contributions (% of revenue)\n", - "Statistical=0.846, p=0.000\n", - "VNM-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.847, p=0.000\n", - "VNM-Start-up procedures to register a business (number)\n", - "Statistical=0.870, p=0.001\n", - "VNM-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.837, p=0.000\n", - "VNM-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.856, p=0.001\n", - "VNM-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.638, p=0.000\n", - "VNM-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.638, p=0.000\n", - "VNM-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.665, p=0.000\n", - "VNM-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.663, p=0.000\n", - "VNM-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.675, p=0.000\n", - "VNM-Surface area (sq. km)\n", - "Statistical=0.650, p=0.000\n", - "VNM-Tax payments (number)\n", - "Statistical=0.865, p=0.001\n", - "VNM-Tax revenue (% of GDP)\n", - "Statistical=0.880, p=0.002\n", - "VNM-Taxes less subsidies on products (current US$)\n", - "Statistical=0.881, p=0.002\n", - "VNM-Taxes on goods and services (% of revenue)\n", - "Statistical=0.881, p=0.002\n", - "VNM-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.821, p=0.000\n", - "VNM-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.849, p=0.000\n", - "VNM-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.886, p=0.003\n", - "VNM-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.925, p=0.028\n", - "VNM-Time required to build a warehouse (days)\n", - "Statistical=0.881, p=0.002\n", - "VNM-Time required to enforce a contract (days)\n", - "Statistical=0.848, p=0.000\n", - "VNM-Time required to get electricity (days)\n", - "Statistical=0.862, p=0.001\n", - "VNM-Time required to register property (days)\n", - "Statistical=0.821, p=0.000\n", - "VNM-Time required to start a business (days)\n", - "Statistical=0.534, p=0.000\n", - "VNM-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.649, p=0.000\n", - "VNM-Time to obtain an electrical connection (days)\n", - "Statistical=0.648, p=0.000\n", - "VNM-Time to prepare and pay taxes (hours)\n", - "Statistical=0.649, p=0.000\n", - "VNM-Time to resolve insolvency (years)\n", - "Statistical=0.480, p=0.000\n", - "VNM-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.651, p=0.000\n", - "VNM-Total fisheries production (metric tons)\n", - "Statistical=0.651, p=0.000\n", - "VNM-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.652, p=0.000\n", - "VNM-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.555, p=0.000\n", - "VNM-Total natural resources rents (% of GDP)\n", - "Statistical=0.728, p=0.000\n", - "VNM-Total reserves (includes gold, current US$)\n", - "Statistical=0.755, p=0.000\n", - "VNM-Total reserves in months of imports\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Total reserves minus gold (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Total tax and contribution rate (% of profit)\n", - "Statistical=0.924, p=0.027\n", - "VNM-Trade (% of GDP)\n", - "Statistical=0.769, p=0.000\n", - "VNM-Trade in services (% of GDP)\n", - "Statistical=0.882, p=0.002\n", - "VNM-Transport services (% of commercial service exports)\n", - "Statistical=0.817, p=0.000\n", - "VNM-Transport services (% of commercial service imports)\n", - "Statistical=0.823, p=0.000\n", - "VNM-Transport services (% of service exports, BoP)\n", - "Statistical=0.788, p=0.000\n", - "VNM-Transport services (% of service imports, BoP)\n", - "Statistical=0.948, p=0.128\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Travel services (% of commercial service exports)\n", - "Statistical=0.802, p=0.000\n", - "VNM-Travel services (% of commercial service imports)\n", - "Statistical=0.964, p=0.356\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Travel services (% of service exports, BoP)\n", - "Statistical=0.838, p=0.000\n", - "VNM-Travel services (% of service imports, BoP)\n", - "Statistical=0.838, p=0.000\n", - "VNM-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.790, p=0.000\n", - "VNM-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.822, p=0.000\n", - "VNM-UHC service coverage index\n", - "Statistical=0.799, p=0.000\n", - "VNM-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.843, p=0.000\n", - "VNM-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.850, p=0.000\n", - "VNM-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.959, p=0.260\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Urban land area (sq. km)\n", - "Statistical=0.963, p=0.324\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.853, p=0.000\n", - "VNM-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.924, p=0.026\n", - "VNM-Urban population\n", - "Statistical=0.944, p=0.099\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Urban population (% of total population)\n", - "Statistical=0.875, p=0.002\n", - "VNM-Urban population growth (annual %)\n", - "Statistical=0.855, p=0.001\n", - "VNM-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.855, p=0.001\n", - "VNM-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.819, p=0.000\n", - "VNM-GDP (current US$)+1\n", - "Statistical=0.819, p=0.000\n", - "VNM-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-GDP (current US$)+2\n", - "Statistical=0.591, p=0.000\n", - "VNM-GDP (current US$)+3\n", - "Statistical=0.635, p=0.000\n", - "VNM-GDP (current US$)+5\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-GDP (current US$)+8\n", - "Statistical=0.930, p=0.039\n", - "VNM-GDP (current US$)+13\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-GDP (current US$)+21\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.837, p=0.000\n", - "VNM-Deposit interest rate (%)\n", - "Statistical=0.873, p=0.001\n", - "VNM-Other taxes (% of revenue)\n", - "Statistical=0.920, p=0.021\n", - "VNM-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.850, p=0.000\n", - "VNM-Taxes on international trade (% of revenue)\n", - "Statistical=0.850, p=0.000\n", - "VNM-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.959, p=0.257\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Broad money (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Broad money growth (annual %)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Broad money to total reserves ratio\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Claims on central government (annual growth as % of broad money)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.712, p=0.000\n", - "VNM-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-External health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-External health expenditure per capita (current US$)\n", - "Statistical=0.530, p=0.000\n", - "VNM-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.902, p=0.007\n", - "VNM-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.810, p=0.000\n", - "VNM-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.755, p=0.000\n", - "VNM-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.691, p=0.000\n", - "VNM-People practicing open defecation (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Taxes on exports (% of tax revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VNM-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.856, p=0.001\n", - "VNM-Country\n", - "Statistical=0.851, p=0.000\n", - "VNM-Year\n", - "Statistical=0.792, p=0.000\n", - "VNM-Continent\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Adjusted net national income (current US$)\n", - "Statistical=0.852, p=0.000\n", - "THA-Adjusted net national income per capita (current US$)\n", - "Statistical=0.855, p=0.001\n", - "THA-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.876, p=0.002\n", - "THA-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.742, p=0.000\n", - "THA-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.768, p=0.000\n", - "THA-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.809, p=0.000\n", - "THA-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.620, p=0.000\n", - "THA-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.604, p=0.000\n", - "THA-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.618, p=0.000\n", - "THA-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.618, p=0.000\n", - "THA-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.616, p=0.000\n", - "THA-Age dependency ratio (% of working-age population)\n", - "Statistical=0.620, p=0.000\n", - "THA-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.620, p=0.000\n", - "THA-Agricultural land (% of land area)\n", - "Statistical=0.636, p=0.000\n", - "THA-Agricultural land (sq. km)\n", - "Statistical=0.617, p=0.000\n", - "THA-Agricultural methane emissions (% of total)\n", - "Statistical=0.675, p=0.000\n", - "THA-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.665, p=0.000\n", - "THA-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.664, p=0.000\n", - "THA-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.883, p=0.002\n", - "THA-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Aquaculture production (metric tons)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Arable land (% of land area)\n", - "Statistical=0.889, p=0.003\n", - "THA-Arable land (hectares per person)\n", - "Statistical=0.862, p=0.001\n", - "THA-Arable land (hectares)\n", - "Statistical=0.919, p=0.019\n", - "THA-Armed forces personnel (% of total labor force)\n", - "Statistical=0.868, p=0.001\n", - "THA-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.919, p=0.019\n", - "THA-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.885, p=0.003\n", - "THA-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.921, p=0.021\n", - "THA-Average precipitation in depth (mm per year)\n", - "Statistical=0.928, p=0.035\n", - "THA-Average time to clear exports through customs (days)\n", - "Statistical=0.877, p=0.002\n", - "THA-Births attended by skilled health staff (% of total)\n", - "Statistical=0.881, p=0.002\n", - "THA-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.882, p=0.002\n", - "THA-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.923, p=0.025\n", - "THA-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.865, p=0.001\n", - "THA-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.934, p=0.050\n", - "THA-CO2 emissions (kt)\n", - "Statistical=0.877, p=0.002\n", - "THA-CO2 emissions (metric tons per capita)\n", - "Statistical=0.819, p=0.000\n", - "THA-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.925, p=0.028\n", - "THA-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=0.866, p=0.001\n", - "THA-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.900, p=0.006\n", - "THA-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.926, p=0.031\n", - "THA-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.919, p=0.020\n", - "THA-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.903, p=0.007\n", - "THA-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.930, p=0.040\n", - "THA-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.689, p=0.000\n", - "THA-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.649, p=0.000\n", - "THA-Capture fisheries production (metric tons)\n", - "Statistical=0.649, p=0.000\n", - "THA-Cereal production (metric tons)\n", - "Statistical=0.847, p=0.000\n", - "THA-Cereal yield (kg per hectare)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Changes in inventories (current US$)\n", - "Statistical=0.903, p=0.007\n", - "THA-Chemicals (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Children out of school (% of primary school age)\n", - "Statistical=0.865, p=0.001\n", - "THA-Coal rents (% of GDP)\n", - "Statistical=0.865, p=0.001\n", - "THA-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.687, p=0.000\n", - "THA-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.686, p=0.000\n", - "THA-Commercial service exports (current US$)\n", - "Statistical=0.679, p=0.000\n", - "THA-Commercial service imports (current US$)\n", - "Statistical=0.908, p=0.010\n", - "THA-Completeness of birth registration (%)\n", - "Statistical=0.806, p=0.000\n", - "THA-Consumer price index (2010 = 100)\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Crop production index (2014-2016 = 100)\n", - "Statistical=0.861, p=0.001\n", - "THA-Current account balance (% of GDP)\n", - "Statistical=0.866, p=0.001\n", - "THA-Current account balance (BoP, current US$)\n", - "Statistical=0.977, p=0.723\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Current health expenditure (% of GDP)\n", - "Statistical=0.895, p=0.005\n", - "THA-Current health expenditure per capita (current US$)\n", - "Statistical=0.895, p=0.005\n", - "THA-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.868, p=0.001\n", - "THA-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.844, p=0.000\n", - "THA-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.929, p=0.038\n", - "THA-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.959, p=0.258\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.880, p=0.002\n", - "THA-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.819, p=0.000\n", - "THA-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.888, p=0.003\n", - "THA-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Domestic private health expenditure per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.946, p=0.112\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Electric power consumption (kWh per capita)\n", - "Statistical=0.887, p=0.003\n", - "THA-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.814, p=0.000\n", - "THA-Electricity production from coal sources (% of total)\n", - "Statistical=0.887, p=0.003\n", - "THA-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.847, p=0.000\n", - "THA-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.794, p=0.000\n", - "THA-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.764, p=0.000\n", - "THA-Electricity production from oil sources (% of total)\n", - "Statistical=0.892, p=0.004\n", - "THA-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.763, p=0.000\n", - "THA-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.727, p=0.000\n", - "THA-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.797, p=0.000\n", - "THA-Energy related methane emissions (% of total)\n", - "Statistical=0.869, p=0.001\n", - "THA-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.697, p=0.000\n", - "THA-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.917, p=0.017\n", - "THA-Export unit value index (2000 = 100)\n", - "Statistical=0.889, p=0.003\n", - "THA-Export value index (2000 = 100)\n", - "Statistical=0.813, p=0.000\n", - "THA-Export volume index (2000 = 100)\n", - "Statistical=0.718, p=0.000\n", - "THA-Exports of goods and services (% of GDP)\n", - "Statistical=0.852, p=0.000\n", - "THA-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.886, p=0.003\n", - "THA-Exports of goods and services (current US$)\n", - "Statistical=0.904, p=0.008\n", - "THA-External balance on goods and services (% of GDP)\n", - "Statistical=0.887, p=0.003\n", - "THA-External balance on goods and services (current US$)\n", - "Statistical=0.959, p=0.254\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.955, p=0.204\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Final consumption expenditure (% of GDP)\n", - "Statistical=0.955, p=0.204\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Final consumption expenditure (current US$)\n", - "Statistical=0.918, p=0.018\n", - "THA-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.904, p=0.008\n", - "THA-Firms offering formal training (% of firms)\n", - "Statistical=0.902, p=0.007\n", - "THA-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.899, p=0.006\n", - "THA-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.857, p=0.001\n", - "THA-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.880, p=0.002\n", - "THA-Fixed broadband subscriptions\n", - "Statistical=0.865, p=0.001\n", - "THA-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.892, p=0.004\n", - "THA-Fixed telephone subscriptions\n", - "Statistical=0.965, p=0.371\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.928, p=0.034\n", - "THA-Food exports (% of merchandise exports)\n", - "Statistical=0.913, p=0.013\n", - "THA-Food imports (% of merchandise imports)\n", - "Statistical=0.927, p=0.033\n", - "THA-Food production index (2014-2016 = 100)\n", - "Statistical=0.901, p=0.007\n", - "THA-Forest area (% of land area)\n", - "Statistical=0.890, p=0.003\n", - "THA-Forest area (sq. km)\n", - "Statistical=0.903, p=0.008\n", - "THA-Forest rents (% of GDP)\n", - "Statistical=0.821, p=0.000\n", - "THA-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.557, p=0.000\n", - "THA-Fuel exports (% of merchandise exports)\n", - "Statistical=0.681, p=0.000\n", - "THA-Fuel imports (% of merchandise imports)\n", - "Statistical=0.851, p=0.000\n", - "THA-GDP (current US$)\n", - "Statistical=0.959, p=0.259\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-GDP deflator (base year varies by country)\n", - "Statistical=0.864, p=0.001\n", - "THA-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.971, p=0.527\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-GDP growth (annual %)\n", - "Statistical=0.968, p=0.438\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-GDP per capita (current US$)\n", - "Statistical=0.892, p=0.004\n", - "THA-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.867, p=0.001\n", - "THA-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.705, p=0.000\n", - "THA-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.384, p=0.000\n", - "THA-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.660, p=0.000\n", - "THA-GNI (current US$)\n", - "Statistical=0.711, p=0.000\n", - "THA-GNI growth (annual %)\n", - "Statistical=0.395, p=0.000\n", - "THA-GNI per capita growth (annual %)\n", - "Statistical=0.659, p=0.000\n", - "THA-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.927, p=0.033\n", - "THA-General government final consumption expenditure (current US$)\n", - "Statistical=0.981, p=0.815\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Gini index\n", - "Statistical=0.908, p=0.010\n", - "THA-Goods exports (BoP, current US$)\n", - "Statistical=0.849, p=0.000\n", - "THA-Goods imports (BoP, current US$)\n", - "Statistical=0.811, p=0.000\n", - "THA-Grants and other revenue (% of revenue)\n", - "Statistical=0.786, p=0.000\n", - "THA-Gross capital formation (% of GDP)\n", - "Statistical=0.869, p=0.001\n", - "THA-Gross capital formation (current US$)\n", - "Statistical=0.894, p=0.004\n", - "THA-Gross domestic savings (% of GDP)\n", - "Statistical=0.960, p=0.276\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Gross domestic savings (current US$)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.609, p=0.000\n", - "THA-Gross fixed capital formation (current US$)\n", - "Statistical=0.441, p=0.000\n", - "THA-Gross national expenditure (% of GDP)\n", - "Statistical=0.441, p=0.000\n", - "THA-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.964, p=0.342\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Gross savings (% of GDP)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Gross savings (current US$)\n", - "Statistical=0.913, p=0.014\n", - "THA-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.838, p=0.000\n", - "THA-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.899, p=0.006\n", - "THA-High-technology exports (% of manufactured exports)\n", - "Statistical=0.897, p=0.005\n", - "THA-High-technology exports (current US$)\n", - "Statistical=0.913, p=0.013\n", - "THA-Hospital beds (per 1,000 people)\n", - "Statistical=0.897, p=0.005\n", - "THA-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.915, p=0.015\n", - "THA-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.744, p=0.000\n", - "THA-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.744, p=0.000\n", - "THA-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.744, p=0.000\n", - "THA-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.907, p=0.010\n", - "THA-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.956, p=0.217\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.580, p=0.000\n", - "THA-ICT goods exports (% of total goods exports)\n", - "Statistical=0.578, p=0.000\n", - "THA-ICT goods imports (% total goods imports)\n", - "Statistical=0.573, p=0.000\n", - "THA-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.824, p=0.000\n", - "THA-ICT service exports (BoP, current US$)\n", - "Statistical=0.823, p=0.000\n", - "THA-Import unit value index (2000 = 100)\n", - "Statistical=0.837, p=0.000\n", - "THA-Import value index (2000 = 100)\n", - "Statistical=0.875, p=0.002\n", - "THA-Import volume index (2000 = 100)\n", - "Statistical=0.978, p=0.732\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Imports of goods and services (% of GDP)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Imports of goods and services (current US$)\n", - "Statistical=0.791, p=0.000\n", - "THA-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=0.478, p=0.000\n", - "THA-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "THA-Income share held by highest 10%\n", - "Statistical=0.625, p=0.000\n", - "THA-Income share held by highest 20%\n", - "Statistical=0.974, p=0.630\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Income share held by lowest 10%\n", - "Statistical=0.705, p=0.000\n", - "THA-Income share held by lowest 20%\n", - "Statistical=0.940, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Income share held by second 20%\n", - "Statistical=0.806, p=0.000\n", - "THA-Income share held by third 20%\n", - "Statistical=0.793, p=0.000\n", - "THA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.876, p=0.002\n", - "THA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.824, p=0.000\n", - "THA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.836, p=0.000\n", - "THA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.794, p=0.000\n", - "THA-Individuals using the Internet (% of population)\n", - "Statistical=0.756, p=0.000\n", - "THA-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.727, p=0.000\n", - "THA-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.463, p=0.000\n", - "THA-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.768, p=0.000\n", - "THA-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.763, p=0.000\n", - "THA-Intentional homicides (per 100,000 people)\n", - "Statistical=0.767, p=0.000\n", - "THA-Interest payments (% of revenue)\n", - "Statistical=0.810, p=0.000\n", - "THA-International migrant stock (% of population)\n", - "Statistical=0.809, p=0.000\n", - "THA-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.812, p=0.000\n", - "THA-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.702, p=0.000\n", - "THA-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.727, p=0.000\n", - "THA-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.712, p=0.000\n", - "THA-Land area (sq. km)\n", - "Statistical=0.757, p=0.000\n", - "THA-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.761, p=0.000\n", - "THA-Land under cereal production (hectares)\n", - "Statistical=0.757, p=0.000\n", - "THA-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.897, p=0.005\n", - "THA-Lifetime risk of maternal death (%)\n", - "Statistical=0.882, p=0.002\n", - "THA-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.920, p=0.020\n", - "THA-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.928, p=0.035\n", - "THA-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.740, p=0.000\n", - "THA-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.747, p=0.000\n", - "THA-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.946, p=0.115\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.835, p=0.000\n", - "THA-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.803, p=0.000\n", - "THA-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.897, p=0.005\n", - "THA-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.987, p=0.958\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Low-birthweight babies (% of births)\n", - "Statistical=0.985, p=0.921\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Lower secondary school starting age (years)\n", - "Statistical=0.922, p=0.024\n", - "THA-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.916, p=0.016\n", - "THA-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.926, p=0.031\n", - "THA-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Marine protected areas (% of territorial waters)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.952, p=0.164\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.922, p=0.024\n", - "THA-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.931, p=0.041\n", - "THA-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.915, p=0.015\n", - "THA-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.900, p=0.006\n", - "THA-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.934, p=0.050\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Merchandise exports (current US$)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.933, p=0.047\n", - "THA-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.883, p=0.002\n", - "THA-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.891, p=0.004\n", - "THA-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.633, p=0.000\n", - "THA-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.879, p=0.002\n", - "THA-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.659, p=0.000\n", - "THA-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.897, p=0.005\n", - "THA-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.643, p=0.000\n", - "THA-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Merchandise imports (current US$)\n", - "Statistical=0.927, p=0.032\n", - "THA-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.772, p=0.000\n", - "THA-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.899, p=0.006\n", - "THA-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.813, p=0.000\n", - "THA-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.885, p=0.003\n", - "THA-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.861, p=0.001\n", - "THA-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.862, p=0.001\n", - "THA-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.885, p=0.003\n", - "THA-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.831, p=0.000\n", - "THA-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.880, p=0.002\n", - "THA-Merchandise trade (% of GDP)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Methane emissions (% change from 1990)\n", - "Statistical=0.921, p=0.022\n", - "THA-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.921, p=0.022\n", - "THA-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.923, p=0.025\n", - "THA-Military expenditure (% of GDP)\n", - "Statistical=0.880, p=0.002\n", - "THA-Military expenditure (% of general government expenditure)\n", - "Statistical=0.879, p=0.002\n", - "THA-Military expenditure (current USD)\n", - "Statistical=0.960, p=0.270\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Mineral rents (% of GDP)\n", - "Statistical=0.886, p=0.003\n", - "THA-Mobile cellular subscriptions\n", - "Statistical=0.919, p=0.019\n", - "THA-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.916, p=0.017\n", - "THA-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.855, p=0.001\n", - "THA-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.818, p=0.000\n", - "THA-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.825, p=0.000\n", - "THA-Natural gas rents (% of GDP)\n", - "Statistical=0.788, p=0.000\n", - "THA-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.920, p=0.021\n", - "THA-Net capital account (BoP, current US$)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Net financial account (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Net migration\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Net primary income (BoP, current US$)\n", - "Statistical=0.625, p=0.000\n", - "THA-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.916, p=0.016\n", - "THA-Net secondary income (BoP, current US$)\n", - "Statistical=0.876, p=0.002\n", - "THA-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Net trade in goods (BoP, current US$)\n", - "Statistical=0.727, p=0.000\n", - "THA-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.727, p=0.000\n", - "THA-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.727, p=0.000\n", - "THA-New businesses registered (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.777, p=0.000\n", - "THA-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.780, p=0.000\n", - "THA-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.890, p=0.004\n", - "THA-Number of deaths ages 10-14 years\n", - "Statistical=0.941, p=0.081\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Number of deaths ages 15-19 years\n", - "Statistical=0.845, p=0.000\n", - "THA-Number of deaths ages 20-24 years\n", - "Statistical=0.954, p=0.185\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Number of deaths ages 5-9 years\n", - "Statistical=0.922, p=0.023\n", - "THA-Number of infant deaths\n", - "Statistical=0.926, p=0.029\n", - "THA-Number of maternal deaths\n", - "Statistical=0.927, p=0.033\n", - "THA-Number of neonatal deaths\n", - "Statistical=0.982, p=0.852\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Number of under-five deaths\n", - "Statistical=0.951, p=0.153\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.812, p=0.000\n", - "THA-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.791, p=0.000\n", - "THA-Oil rents (% of GDP)\n", - "Statistical=0.867, p=0.001\n", - "THA-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.867, p=0.001\n", - "THA-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.951, p=0.157\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.853, p=0.000\n", - "THA-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.951, p=0.152\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.919, p=0.019\n", - "THA-People using at least basic drinking water services (% of population)\n", - "Statistical=0.882, p=0.002\n", - "THA-People using at least basic sanitation services (% of population)\n", - "Statistical=0.932, p=0.044\n", - "THA-People using safely managed sanitation services (% of population)\n", - "Statistical=0.932, p=0.044\n", - "THA-Permanent cropland (% of land area)\n", - "Statistical=0.985, p=0.934\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Physicians (per 1,000 people)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Population ages 0-14 (% of total population)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Population ages 15-64 (% of total population)\n", - "Statistical=0.922, p=0.023\n", - "THA-Population ages 65 and above (% of total population)\n", - "Statistical=0.886, p=0.003\n", - "THA-Population density (people per sq. km of land area)\n", - "Statistical=0.974, p=0.620\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Population growth (annual %)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Population in largest city\n", - "Statistical=0.926, p=0.030\n", - "THA-Population in the largest city (% of urban population)\n", - "Statistical=0.931, p=0.041\n", - "THA-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.854, p=0.001\n", - "THA-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.786, p=0.000\n", - "THA-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.924, p=0.026\n", - "THA-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.919, p=0.019\n", - "THA-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Pregnant women receiving prenatal care (%)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.625, p=0.000\n", - "THA-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.920, p=0.021\n", - "THA-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.883, p=0.002\n", - "THA-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Prevalence of current tobacco use (% of adults)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.625, p=0.000\n", - "THA-Prevalence of undernourishment (% of population)\n", - "Statistical=0.924, p=0.026\n", - "THA-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Primary income payments (BoP, current US$)\n", - "Statistical=0.883, p=0.002\n", - "THA-Primary income receipts (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Primary school starting age (years)\n", - "Statistical=0.927, p=0.033\n", - "THA-Private credit bureau coverage (% of adults)\n", - "Statistical=0.879, p=0.002\n", - "THA-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.926, p=0.030\n", - "THA-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.920, p=0.021\n", - "THA-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Procedures to build a warehouse (number)\n", - "Statistical=0.946, p=0.111\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Procedures to register property (number)\n", - "Statistical=0.901, p=0.007\n", - "THA-Profit tax (% of commercial profits)\n", - "Statistical=0.901, p=0.007\n", - "THA-Progression to secondary school (%)\n", - "Statistical=0.897, p=0.005\n", - "THA-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.861, p=0.001\n", - "THA-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.956, p=0.216\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.859, p=0.001\n", - "THA-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.870, p=0.001\n", - "THA-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.925, p=0.028\n", - "THA-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.978, p=0.747\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Public credit registry coverage (% of adults)\n", - "Statistical=0.849, p=0.000\n", - "THA-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.867, p=0.001\n", - "THA-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.789, p=0.000\n", - "THA-Rail lines (total route-km)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.878, p=0.002\n", - "THA-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.972, p=0.570\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Refugee population by country or territory of asylum\n", - "Statistical=0.815, p=0.000\n", - "THA-Refugee population by country or territory of origin\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Renewable electricity output (% of total electricity output)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.625, p=0.000\n", - "THA-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.922, p=0.024\n", - "THA-Research and development expenditure (% of GDP)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Researchers in R&D (per million people)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Reserves and related items (BoP, current US$)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.925, p=0.029\n", - "THA-Rural land area (sq. km)\n", - "Statistical=0.900, p=0.006\n", - "THA-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.758, p=0.000\n", - "THA-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.965, p=0.367\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Rural population\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Rural population (% of total population)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Rural population growth (annual %)\n", - "Statistical=0.899, p=0.006\n", - "THA-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.922, p=0.023\n", - "THA-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.867, p=0.001\n", - "THA-Scientific and technical journal articles\n", - "Statistical=0.800, p=0.000\n", - "THA-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.831, p=0.000\n", - "THA-Secure Internet servers\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Secure Internet servers (per 1 million people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Service exports (BoP, current US$)\n", - "Statistical=0.625, p=0.000\n", - "THA-Service imports (BoP, current US$)\n", - "Statistical=0.908, p=0.010\n", - "THA-Sex ratio at birth (male births per female births)\n", - "Statistical=0.885, p=0.003\n", - "THA-Social contributions (% of revenue)\n", - "Statistical=0.625, p=0.000\n", - "THA-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.924, p=0.027\n", - "THA-Start-up procedures to register a business (number)\n", - "Statistical=0.926, p=0.030\n", - "THA-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.922, p=0.023\n", - "THA-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.901, p=0.006\n", - "THA-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.689, p=0.000\n", - "THA-Surface area (sq. km)\n", - "Statistical=0.753, p=0.000\n", - "THA-Tax payments (number)\n", - "Statistical=0.687, p=0.000\n", - "THA-Tax revenue (% of GDP)\n", - "Statistical=0.971, p=0.532\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Taxes less subsidies on products (current US$)\n", - "Statistical=0.947, p=0.118\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Taxes on goods and services (% of revenue)\n", - "Statistical=0.947, p=0.118\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.921, p=0.023\n", - "THA-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.883, p=0.002\n", - "THA-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.951, p=0.156\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.979, p=0.776\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Time required to build a warehouse (days)\n", - "Statistical=0.947, p=0.118\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Time required to enforce a contract (days)\n", - "Statistical=0.919, p=0.020\n", - "THA-Time required to get electricity (days)\n", - "Statistical=0.962, p=0.315\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Time required to register property (days)\n", - "Statistical=0.921, p=0.023\n", - "THA-Time required to start a business (days)\n", - "Statistical=0.654, p=0.000\n", - "THA-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.424, p=0.000\n", - "THA-Time to obtain an electrical connection (days)\n", - "Statistical=0.686, p=0.000\n", - "THA-Time to prepare and pay taxes (hours)\n", - "Statistical=0.561, p=0.000\n", - "THA-Time to resolve insolvency (years)\n", - "Statistical=0.627, p=0.000\n", - "THA-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.417, p=0.000\n", - "THA-Total fisheries production (metric tons)\n", - "Statistical=0.411, p=0.000\n", - "THA-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.600, p=0.000\n", - "THA-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.377, p=0.000\n", - "THA-Total natural resources rents (% of GDP)\n", - "Statistical=0.819, p=0.000\n", - "THA-Total reserves (includes gold, current US$)\n", - "Statistical=0.829, p=0.000\n", - "THA-Total reserves in months of imports\n", - "Statistical=0.967, p=0.410\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Total reserves minus gold (current US$)\n", - "Statistical=0.853, p=0.000\n", - "THA-Total tax and contribution rate (% of profit)\n", - "Statistical=0.843, p=0.000\n", - "THA-Trade (% of GDP)\n", - "Statistical=0.900, p=0.006\n", - "THA-Trade in services (% of GDP)\n", - "Statistical=0.874, p=0.001\n", - "THA-Transport services (% of commercial service exports)\n", - "Statistical=0.899, p=0.006\n", - "THA-Transport services (% of commercial service imports)\n", - "Statistical=0.872, p=0.001\n", - "THA-Transport services (% of service exports, BoP)\n", - "Statistical=0.890, p=0.004\n", - "THA-Transport services (% of service imports, BoP)\n", - "Statistical=0.932, p=0.045\n", - "THA-Travel services (% of commercial service exports)\n", - "Statistical=0.874, p=0.001\n", - "THA-Travel services (% of commercial service imports)\n", - "Statistical=0.971, p=0.518\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Travel services (% of service exports, BoP)\n", - "Statistical=0.903, p=0.008\n", - "THA-Travel services (% of service imports, BoP)\n", - "Statistical=0.903, p=0.008\n", - "THA-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.894, p=0.004\n", - "THA-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.874, p=0.001\n", - "THA-UHC service coverage index\n", - "Statistical=0.877, p=0.002\n", - "THA-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.807, p=0.000\n", - "THA-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.963, p=0.340\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Urban land area (sq. km)\n", - "Statistical=0.959, p=0.257\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.945, p=0.101\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Urban population\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Urban population (% of total population)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Urban population growth (annual %)\n", - "Statistical=0.679, p=0.000\n", - "THA-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.679, p=0.000\n", - "THA-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.791, p=0.000\n", - "THA-GDP (current US$)+1\n", - "Statistical=0.791, p=0.000\n", - "THA-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-GDP (current US$)+2\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-GDP (current US$)+3\n", - "Statistical=0.902, p=0.007\n", - "THA-GDP (current US$)+5\n", - "Statistical=0.961, p=0.300\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-GDP (current US$)+8\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-GDP (current US$)+13\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-GDP (current US$)+21\n", - "Statistical=0.625, p=0.000\n", - "THA-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.907, p=0.010\n", - "THA-Deposit interest rate (%)\n", - "Statistical=0.875, p=0.002\n", - "THA-Other taxes (% of revenue)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.980, p=0.803\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Taxes on international trade (% of revenue)\n", - "Statistical=0.980, p=0.803\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.960, p=0.268\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-Broad money (% of GDP)\n", - "Statistical=0.924, p=0.026\n", - "THA-Broad money growth (annual %)\n", - "Statistical=0.911, p=0.012\n", - "THA-Broad money to total reserves ratio\n", - "Statistical=0.924, p=0.026\n", - "THA-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.907, p=0.009\n", - "THA-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.932, p=0.043\n", - "THA-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.973, p=0.597\n", - "Data is NORMAL ( H0 not denied )\n", - "THA-External health expenditure (% of current health expenditure)\n", - "Statistical=0.928, p=0.034\n", - "THA-External health expenditure per capita (current US$)\n", - "Statistical=0.698, p=0.000\n", - "THA-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.868, p=0.001\n", - "THA-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.868, p=0.001\n", - "THA-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.910, p=0.011\n", - "THA-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.896, p=0.005\n", - "THA-People practicing open defecation (% of population)\n", - "Statistical=0.877, p=0.002\n", - "THA-Taxes on exports (% of tax revenue)\n", - "Statistical=0.914, p=0.014\n", - "THA-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.815, p=0.000\n", - "THA-Country\n", - "Statistical=0.868, p=0.001\n", - "THA-Year\n", - "Statistical=0.780, p=0.000\n", - "THA-Continent\n", - "Statistical=0.898, p=0.005\n", - "IDN-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Adjusted net national income (current US$)\n", - "Statistical=0.798, p=0.000\n", - "IDN-Adjusted net national income per capita (current US$)\n", - "Statistical=0.774, p=0.000\n", - "IDN-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.791, p=0.000\n", - "IDN-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.847, p=0.000\n", - "IDN-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.870, p=0.001\n", - "IDN-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.886, p=0.003\n", - "IDN-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.618, p=0.000\n", - "IDN-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.619, p=0.000\n", - "IDN-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.618, p=0.000\n", - "IDN-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.616, p=0.000\n", - "IDN-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.609, p=0.000\n", - "IDN-Age dependency ratio (% of working-age population)\n", - "Statistical=0.580, p=0.000\n", - "IDN-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.620, p=0.000\n", - "IDN-Agricultural land (% of land area)\n", - "Statistical=0.620, p=0.000\n", - "IDN-Agricultural land (sq. km)\n", - "Statistical=0.621, p=0.000\n", - "IDN-Agricultural methane emissions (% of total)\n", - "Statistical=0.955, p=0.202\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.907, p=0.010\n", - "IDN-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.980, p=0.803\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.907, p=0.009\n", - "IDN-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.906, p=0.009\n", - "IDN-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.832, p=0.000\n", - "IDN-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.906, p=0.009\n", - "IDN-Aquaculture production (metric tons)\n", - "Statistical=0.920, p=0.021\n", - "IDN-Arable land (% of land area)\n", - "Statistical=0.839, p=0.000\n", - "IDN-Arable land (hectares per person)\n", - "Statistical=0.925, p=0.029\n", - "IDN-Arable land (hectares)\n", - "Statistical=0.859, p=0.001\n", - "IDN-Armed forces personnel (% of total labor force)\n", - "Statistical=0.924, p=0.027\n", - "IDN-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.862, p=0.001\n", - "IDN-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.904, p=0.008\n", - "IDN-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.886, p=0.003\n", - "IDN-Average precipitation in depth (mm per year)\n", - "Statistical=0.698, p=0.000\n", - "IDN-Average time to clear exports through customs (days)\n", - "Statistical=0.820, p=0.000\n", - "IDN-Births attended by skilled health staff (% of total)\n", - "Statistical=0.838, p=0.000\n", - "IDN-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.828, p=0.000\n", - "IDN-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.973, p=0.581\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.912, p=0.013\n", - "IDN-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.930, p=0.040\n", - "IDN-CO2 emissions (kt)\n", - "Statistical=0.911, p=0.012\n", - "IDN-CO2 emissions (metric tons per capita)\n", - "Statistical=0.899, p=0.006\n", - "IDN-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.967, p=0.429\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.967, p=0.432\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.860, p=0.001\n", - "IDN-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.814, p=0.000\n", - "IDN-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.863, p=0.001\n", - "IDN-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.851, p=0.000\n", - "IDN-Capture fisheries production (metric tons)\n", - "Statistical=0.890, p=0.003\n", - "IDN-Cereal production (metric tons)\n", - "Statistical=0.899, p=0.006\n", - "IDN-Cereal yield (kg per hectare)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Changes in inventories (current US$)\n", - "Statistical=0.924, p=0.027\n", - "IDN-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.580, p=0.000\n", - "IDN-Children out of school (% of primary school age)\n", - "Statistical=0.900, p=0.006\n", - "IDN-Coal rents (% of GDP)\n", - "Statistical=0.916, p=0.016\n", - "IDN-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.657, p=0.000\n", - "IDN-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.652, p=0.000\n", - "IDN-Commercial service exports (current US$)\n", - "Statistical=0.758, p=0.000\n", - "IDN-Commercial service imports (current US$)\n", - "Statistical=0.848, p=0.000\n", - "IDN-Completeness of birth registration (%)\n", - "Statistical=0.666, p=0.000\n", - "IDN-Consumer price index (2010 = 100)\n", - "Statistical=0.894, p=0.004\n", - "IDN-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.965, p=0.368\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Crop production index (2014-2016 = 100)\n", - "Statistical=0.882, p=0.002\n", - "IDN-Current account balance (% of GDP)\n", - "Statistical=0.877, p=0.002\n", - "IDN-Current account balance (BoP, current US$)\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Current health expenditure (% of GDP)\n", - "Statistical=0.903, p=0.007\n", - "IDN-Current health expenditure per capita (current US$)\n", - "Statistical=0.903, p=0.007\n", - "IDN-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.850, p=0.000\n", - "IDN-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.821, p=0.000\n", - "IDN-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.882, p=0.002\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "IDN-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.930, p=0.040\n", - "IDN-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.812, p=0.000\n", - "IDN-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.880, p=0.002\n", - "IDN-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.898, p=0.005\n", - "IDN-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.917, p=0.017\n", - "IDN-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.900, p=0.006\n", - "IDN-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.900, p=0.006\n", - "IDN-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.756, p=0.000\n", - "IDN-Electric power consumption (kWh per capita)\n", - "Statistical=0.908, p=0.010\n", - "IDN-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.970, p=0.492\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Electricity production from coal sources (% of total)\n", - "Statistical=0.926, p=0.030\n", - "IDN-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.830, p=0.000\n", - "IDN-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.844, p=0.000\n", - "IDN-Electricity production from oil sources (% of total)\n", - "Statistical=0.967, p=0.416\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.676, p=0.000\n", - "IDN-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.657, p=0.000\n", - "IDN-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.831, p=0.000\n", - "IDN-Energy related methane emissions (% of total)\n", - "Statistical=0.769, p=0.000\n", - "IDN-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.803, p=0.000\n", - "IDN-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Export unit value index (2000 = 100)\n", - "Statistical=0.916, p=0.017\n", - "IDN-Export value index (2000 = 100)\n", - "Statistical=0.731, p=0.000\n", - "IDN-Export volume index (2000 = 100)\n", - "Statistical=0.784, p=0.000\n", - "IDN-Exports of goods and services (% of GDP)\n", - "Statistical=0.761, p=0.000\n", - "IDN-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.912, p=0.013\n", - "IDN-Exports of goods and services (current US$)\n", - "Statistical=0.853, p=0.000\n", - "IDN-External balance on goods and services (% of GDP)\n", - "Statistical=0.967, p=0.413\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-External balance on goods and services (current US$)\n", - "Statistical=0.790, p=0.000\n", - "IDN-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.625, p=0.000\n", - "IDN-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.880, p=0.002\n", - "IDN-Final consumption expenditure (% of GDP)\n", - "Statistical=0.880, p=0.002\n", - "IDN-Final consumption expenditure (current US$)\n", - "Statistical=0.915, p=0.015\n", - "IDN-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.947, p=0.118\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Firms offering formal training (% of firms)\n", - "Statistical=0.956, p=0.219\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.883, p=0.002\n", - "IDN-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.816, p=0.000\n", - "IDN-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.910, p=0.011\n", - "IDN-Fixed broadband subscriptions\n", - "Statistical=0.896, p=0.005\n", - "IDN-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.918, p=0.018\n", - "IDN-Fixed telephone subscriptions\n", - "Statistical=0.916, p=0.016\n", - "IDN-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.904, p=0.008\n", - "IDN-Food exports (% of merchandise exports)\n", - "Statistical=0.851, p=0.000\n", - "IDN-Food imports (% of merchandise imports)\n", - "Statistical=0.885, p=0.003\n", - "IDN-Food production index (2014-2016 = 100)\n", - "Statistical=0.864, p=0.001\n", - "IDN-Forest area (% of land area)\n", - "Statistical=0.881, p=0.002\n", - "IDN-Forest area (sq. km)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Forest rents (% of GDP)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.850, p=0.000\n", - "IDN-Fuel exports (% of merchandise exports)\n", - "Statistical=0.843, p=0.000\n", - "IDN-Fuel imports (% of merchandise imports)\n", - "Statistical=0.849, p=0.000\n", - "IDN-GDP (current US$)\n", - "Statistical=0.870, p=0.001\n", - "IDN-GDP deflator (base year varies by country)\n", - "Statistical=0.859, p=0.001\n", - "IDN-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.836, p=0.000\n", - "IDN-GDP growth (annual %)\n", - "Statistical=0.866, p=0.001\n", - "IDN-GDP per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.927, p=0.031\n", - "IDN-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.955, p=0.202\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.907, p=0.010\n", - "IDN-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.980, p=0.803\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-GNI (current US$)\n", - "Statistical=0.950, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-GNI growth (annual %)\n", - "Statistical=0.906, p=0.009\n", - "IDN-GNI per capita growth (annual %)\n", - "Statistical=0.986, p=0.948\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.968, p=0.439\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-General government final consumption expenditure (current US$)\n", - "Statistical=0.888, p=0.003\n", - "IDN-Gini index\n", - "Statistical=0.956, p=0.213\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Goods exports (BoP, current US$)\n", - "Statistical=0.882, p=0.002\n", - "IDN-Goods imports (BoP, current US$)\n", - "Statistical=0.858, p=0.001\n", - "IDN-Grants and other revenue (% of revenue)\n", - "Statistical=0.701, p=0.000\n", - "IDN-Gross capital formation (% of GDP)\n", - "Statistical=0.888, p=0.003\n", - "IDN-Gross capital formation (current US$)\n", - "Statistical=0.960, p=0.269\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Gross domestic savings (% of GDP)\n", - "Statistical=0.882, p=0.002\n", - "IDN-Gross domestic savings (current US$)\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.800, p=0.000\n", - "IDN-Gross fixed capital formation (current US$)\n", - "Statistical=0.717, p=0.000\n", - "IDN-Gross national expenditure (% of GDP)\n", - "Statistical=0.716, p=0.000\n", - "IDN-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.893, p=0.004\n", - "IDN-Gross savings (% of GDP)\n", - "Statistical=0.957, p=0.223\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Gross savings (current US$)\n", - "Statistical=0.917, p=0.017\n", - "IDN-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.812, p=0.000\n", - "IDN-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.926, p=0.030\n", - "IDN-High-technology exports (% of manufactured exports)\n", - "Statistical=0.919, p=0.020\n", - "IDN-High-technology exports (current US$)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Hospital beds (per 1,000 people)\n", - "Statistical=0.909, p=0.010\n", - "IDN-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.905, p=0.008\n", - "IDN-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.491, p=0.000\n", - "IDN-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.491, p=0.000\n", - "IDN-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.491, p=0.000\n", - "IDN-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=0.478, p=0.000\n", - "IDN-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.888, p=0.003\n", - "IDN-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.893, p=0.004\n", - "IDN-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.884, p=0.002\n", - "IDN-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.683, p=0.000\n", - "IDN-ICT goods exports (% of total goods exports)\n", - "Statistical=0.682, p=0.000\n", - "IDN-ICT goods imports (% total goods imports)\n", - "Statistical=0.719, p=0.000\n", - "IDN-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.798, p=0.000\n", - "IDN-ICT service exports (BoP, current US$)\n", - "Statistical=0.790, p=0.000\n", - "IDN-Import unit value index (2000 = 100)\n", - "Statistical=0.839, p=0.000\n", - "IDN-Import value index (2000 = 100)\n", - "Statistical=0.904, p=0.008\n", - "IDN-Import volume index (2000 = 100)\n", - "Statistical=0.881, p=0.002\n", - "IDN-Imports of goods and services (% of GDP)\n", - "Statistical=0.873, p=0.001\n", - "IDN-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.909, p=0.010\n", - "IDN-Imports of goods and services (current US$)\n", - "Statistical=0.896, p=0.005\n", - "IDN-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=0.442, p=0.000\n", - "IDN-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "IDN-Income share held by highest 10%\n", - "Statistical=0.651, p=0.000\n", - "IDN-Income share held by highest 20%\n", - "Statistical=0.922, p=0.024\n", - "IDN-Income share held by lowest 10%\n", - "Statistical=0.655, p=0.000\n", - "IDN-Income share held by lowest 20%\n", - "Statistical=0.876, p=0.002\n", - "IDN-Income share held by second 20%\n", - "Statistical=0.820, p=0.000\n", - "IDN-Income share held by third 20%\n", - "Statistical=0.853, p=0.000\n", - "IDN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.725, p=0.000\n", - "IDN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.805, p=0.000\n", - "IDN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.807, p=0.000\n", - "IDN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.886, p=0.003\n", - "IDN-Individuals using the Internet (% of population)\n", - "Statistical=0.823, p=0.000\n", - "IDN-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.818, p=0.000\n", - "IDN-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.493, p=0.000\n", - "IDN-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.727, p=0.000\n", - "IDN-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.691, p=0.000\n", - "IDN-Intentional homicides (per 100,000 people)\n", - "Statistical=0.726, p=0.000\n", - "IDN-Interest payments (% of revenue)\n", - "Statistical=0.857, p=0.001\n", - "IDN-International migrant stock (% of population)\n", - "Statistical=0.762, p=0.000\n", - "IDN-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.740, p=0.000\n", - "IDN-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.965, p=0.380\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.918, p=0.019\n", - "IDN-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.955, p=0.198\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Land area (sq. km)\n", - "Statistical=0.730, p=0.000\n", - "IDN-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.765, p=0.000\n", - "IDN-Land under cereal production (hectares)\n", - "Statistical=0.720, p=0.000\n", - "IDN-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.919, p=0.019\n", - "IDN-Lifetime risk of maternal death (%)\n", - "Statistical=0.851, p=0.000\n", - "IDN-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.911, p=0.012\n", - "IDN-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.829, p=0.000\n", - "IDN-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.914, p=0.015\n", - "IDN-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.892, p=0.004\n", - "IDN-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.918, p=0.019\n", - "IDN-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.874, p=0.001\n", - "IDN-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.883, p=0.002\n", - "IDN-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.796, p=0.000\n", - "IDN-Low-birthweight babies (% of births)\n", - "Statistical=0.805, p=0.000\n", - "IDN-Lower secondary school starting age (years)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.950, p=0.140\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.924, p=0.027\n", - "IDN-Marine protected areas (% of territorial waters)\n", - "Statistical=0.961, p=0.285\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.908, p=0.010\n", - "IDN-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.950, p=0.147\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.944, p=0.099\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Merchandise exports (current US$)\n", - "Statistical=0.955, p=0.196\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.957, p=0.233\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.911, p=0.012\n", - "IDN-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.918, p=0.018\n", - "IDN-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.943, p=0.093\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.891, p=0.004\n", - "IDN-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.886, p=0.003\n", - "IDN-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.909, p=0.011\n", - "IDN-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.913, p=0.014\n", - "IDN-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.821, p=0.000\n", - "IDN-Merchandise imports (current US$)\n", - "Statistical=0.805, p=0.000\n", - "IDN-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.642, p=0.000\n", - "IDN-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.890, p=0.003\n", - "IDN-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.889, p=0.003\n", - "IDN-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.872, p=0.001\n", - "IDN-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.826, p=0.000\n", - "IDN-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.887, p=0.003\n", - "IDN-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.950, p=0.146\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.917, p=0.017\n", - "IDN-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.982, p=0.853\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.892, p=0.004\n", - "IDN-Merchandise trade (% of GDP)\n", - "Statistical=0.975, p=0.651\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Methane emissions (% change from 1990)\n", - "Statistical=0.901, p=0.007\n", - "IDN-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.901, p=0.007\n", - "IDN-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.888, p=0.003\n", - "IDN-Military expenditure (% of GDP)\n", - "Statistical=0.877, p=0.002\n", - "IDN-Military expenditure (% of general government expenditure)\n", - "Statistical=0.894, p=0.004\n", - "IDN-Military expenditure (current USD)\n", - "Statistical=0.902, p=0.007\n", - "IDN-Mineral rents (% of GDP)\n", - "Statistical=0.757, p=0.000\n", - "IDN-Mobile cellular subscriptions\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.967, p=0.423\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.897, p=0.005\n", - "IDN-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.880, p=0.002\n", - "IDN-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.920, p=0.021\n", - "IDN-Natural gas rents (% of GDP)\n", - "Statistical=0.919, p=0.020\n", - "IDN-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.904, p=0.008\n", - "IDN-Net capital account (BoP, current US$)\n", - "Statistical=0.857, p=0.001\n", - "IDN-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.927, p=0.031\n", - "IDN-Net financial account (BoP, current US$)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Net migration\n", - "Statistical=0.921, p=0.022\n", - "IDN-Net primary income (BoP, current US$)\n", - "Statistical=0.921, p=0.022\n", - "IDN-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.847, p=0.000\n", - "IDN-Net secondary income (BoP, current US$)\n", - "Statistical=0.843, p=0.000\n", - "IDN-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.657, p=0.000\n", - "IDN-Net trade in goods (BoP, current US$)\n", - "Statistical=0.657, p=0.000\n", - "IDN-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.657, p=0.000\n", - "IDN-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.657, p=0.000\n", - "IDN-New businesses registered (number)\n", - "Statistical=0.657, p=0.000\n", - "IDN-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.723, p=0.000\n", - "IDN-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.734, p=0.000\n", - "IDN-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.827, p=0.000\n", - "IDN-Number of deaths ages 10-14 years\n", - "Statistical=0.821, p=0.000\n", - "IDN-Number of deaths ages 15-19 years\n", - "Statistical=0.875, p=0.002\n", - "IDN-Number of deaths ages 20-24 years\n", - "Statistical=0.971, p=0.533\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Number of deaths ages 5-9 years\n", - "Statistical=0.930, p=0.039\n", - "IDN-Number of infant deaths\n", - "Statistical=0.954, p=0.188\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Number of maternal deaths\n", - "Statistical=0.922, p=0.024\n", - "IDN-Number of neonatal deaths\n", - "Statistical=0.932, p=0.044\n", - "IDN-Number of under-five deaths\n", - "Statistical=0.885, p=0.003\n", - "IDN-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.911, p=0.012\n", - "IDN-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.864, p=0.001\n", - "IDN-Oil rents (% of GDP)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.911, p=0.012\n", - "IDN-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.916, p=0.016\n", - "IDN-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.850, p=0.000\n", - "IDN-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.900, p=0.006\n", - "IDN-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.900, p=0.006\n", - "IDN-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.841, p=0.000\n", - "IDN-People using at least basic drinking water services (% of population)\n", - "Statistical=0.830, p=0.000\n", - "IDN-People using at least basic sanitation services (% of population)\n", - "Statistical=0.881, p=0.002\n", - "IDN-People using safely managed sanitation services (% of population)\n", - "Statistical=0.881, p=0.002\n", - "IDN-Permanent cropland (% of land area)\n", - "Statistical=0.920, p=0.021\n", - "IDN-Physicians (per 1,000 people)\n", - "Statistical=0.906, p=0.009\n", - "IDN-Population ages 0-14 (% of total population)\n", - "Statistical=0.906, p=0.009\n", - "IDN-Population ages 15-64 (% of total population)\n", - "Statistical=0.854, p=0.001\n", - "IDN-Population ages 65 and above (% of total population)\n", - "Statistical=0.829, p=0.000\n", - "IDN-Population density (people per sq. km of land area)\n", - "Statistical=0.957, p=0.230\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Population growth (annual %)\n", - "Statistical=0.906, p=0.009\n", - "IDN-Population in largest city\n", - "Statistical=0.911, p=0.012\n", - "IDN-Population in the largest city (% of urban population)\n", - "Statistical=0.907, p=0.010\n", - "IDN-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.837, p=0.000\n", - "IDN-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.863, p=0.001\n", - "IDN-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.900, p=0.006\n", - "IDN-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.904, p=0.008\n", - "IDN-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.841, p=0.000\n", - "IDN-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.650, p=0.000\n", - "IDN-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.650, p=0.000\n", - "IDN-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.840, p=0.000\n", - "IDN-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.830, p=0.000\n", - "IDN-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.560, p=0.000\n", - "IDN-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.655, p=0.000\n", - "IDN-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.655, p=0.000\n", - "IDN-Prevalence of undernourishment (% of population)\n", - "Statistical=0.853, p=0.000\n", - "IDN-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.630, p=0.000\n", - "IDN-Primary income payments (BoP, current US$)\n", - "Statistical=0.824, p=0.000\n", - "IDN-Primary income receipts (BoP, current US$)\n", - "Statistical=0.655, p=0.000\n", - "IDN-Primary school starting age (years)\n", - "Statistical=0.910, p=0.011\n", - "IDN-Private credit bureau coverage (% of adults)\n", - "Statistical=0.823, p=0.000\n", - "IDN-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.650, p=0.000\n", - "IDN-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.902, p=0.007\n", - "IDN-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.840, p=0.000\n", - "IDN-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.889, p=0.003\n", - "IDN-Procedures to build a warehouse (number)\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Procedures to register property (number)\n", - "Statistical=0.862, p=0.001\n", - "IDN-Profit tax (% of commercial profits)\n", - "Statistical=0.862, p=0.001\n", - "IDN-Progression to secondary school (%)\n", - "Statistical=0.825, p=0.000\n", - "IDN-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.810, p=0.000\n", - "IDN-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.944, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.901, p=0.007\n", - "IDN-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.851, p=0.000\n", - "IDN-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.865, p=0.001\n", - "IDN-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.885, p=0.003\n", - "IDN-Public credit registry coverage (% of adults)\n", - "Statistical=0.757, p=0.000\n", - "IDN-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.794, p=0.000\n", - "IDN-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.770, p=0.000\n", - "IDN-Rail lines (total route-km)\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.868, p=0.001\n", - "IDN-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.886, p=0.003\n", - "IDN-Refugee population by country or territory of asylum\n", - "Statistical=0.901, p=0.006\n", - "IDN-Refugee population by country or territory of origin\n", - "Statistical=0.970, p=0.513\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.906, p=0.009\n", - "IDN-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.906, p=0.009\n", - "IDN-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.813, p=0.000\n", - "IDN-Research and development expenditure (% of GDP)\n", - "Statistical=0.800, p=0.000\n", - "IDN-Researchers in R&D (per million people)\n", - "Statistical=0.908, p=0.010\n", - "IDN-Reserves and related items (BoP, current US$)\n", - "Statistical=0.927, p=0.031\n", - "IDN-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.826, p=0.000\n", - "IDN-Rural land area (sq. km)\n", - "Statistical=0.812, p=0.000\n", - "IDN-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.866, p=0.001\n", - "IDN-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.928, p=0.035\n", - "IDN-Rural population\n", - "Statistical=0.884, p=0.003\n", - "IDN-Rural population (% of total population)\n", - "Statistical=0.884, p=0.003\n", - "IDN-Rural population growth (annual %)\n", - "Statistical=0.812, p=0.000\n", - "IDN-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.802, p=0.000\n", - "IDN-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.949, p=0.133\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Scientific and technical journal articles\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.957, p=0.231\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Secure Internet servers\n", - "Statistical=0.970, p=0.502\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Secure Internet servers (per 1 million people)\n", - "Statistical=0.878, p=0.002\n", - "IDN-Service exports (BoP, current US$)\n", - "Statistical=0.878, p=0.002\n", - "IDN-Service imports (BoP, current US$)\n", - "Statistical=0.837, p=0.000\n", - "IDN-Sex ratio at birth (male births per female births)\n", - "Statistical=0.827, p=0.000\n", - "IDN-Social contributions (% of revenue)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Start-up procedures to register a business (number)\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.824, p=0.000\n", - "IDN-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.814, p=0.000\n", - "IDN-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.655, p=0.000\n", - "IDN-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.655, p=0.000\n", - "IDN-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.828, p=0.000\n", - "IDN-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.686, p=0.000\n", - "IDN-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.663, p=0.000\n", - "IDN-Surface area (sq. km)\n", - "Statistical=0.690, p=0.000\n", - "IDN-Tax payments (number)\n", - "Statistical=0.722, p=0.000\n", - "IDN-Tax revenue (% of GDP)\n", - "Statistical=0.929, p=0.036\n", - "IDN-Taxes less subsidies on products (current US$)\n", - "Statistical=0.927, p=0.033\n", - "IDN-Taxes on goods and services (% of revenue)\n", - "Statistical=0.927, p=0.033\n", - "IDN-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.851, p=0.000\n", - "IDN-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.848, p=0.000\n", - "IDN-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Time required to build a warehouse (days)\n", - "Statistical=0.927, p=0.033\n", - "IDN-Time required to enforce a contract (days)\n", - "Statistical=0.894, p=0.004\n", - "IDN-Time required to get electricity (days)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Time required to register property (days)\n", - "Statistical=0.851, p=0.000\n", - "IDN-Time required to start a business (days)\n", - "Statistical=0.404, p=0.000\n", - "IDN-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.393, p=0.000\n", - "IDN-Time to obtain an electrical connection (days)\n", - "Statistical=0.431, p=0.000\n", - "IDN-Time to prepare and pay taxes (hours)\n", - "Statistical=0.395, p=0.000\n", - "IDN-Time to resolve insolvency (years)\n", - "Statistical=0.404, p=0.000\n", - "IDN-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.397, p=0.000\n", - "IDN-Total fisheries production (metric tons)\n", - "Statistical=0.644, p=0.000\n", - "IDN-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.403, p=0.000\n", - "IDN-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.403, p=0.000\n", - "IDN-Total natural resources rents (% of GDP)\n", - "Statistical=0.764, p=0.000\n", - "IDN-Total reserves (includes gold, current US$)\n", - "Statistical=0.764, p=0.000\n", - "IDN-Total reserves in months of imports\n", - "Statistical=0.870, p=0.001\n", - "IDN-Total reserves minus gold (current US$)\n", - "Statistical=0.830, p=0.000\n", - "IDN-Total tax and contribution rate (% of profit)\n", - "Statistical=0.980, p=0.813\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Trade (% of GDP)\n", - "Statistical=0.889, p=0.003\n", - "IDN-Trade in services (% of GDP)\n", - "Statistical=0.929, p=0.038\n", - "IDN-Transport services (% of commercial service exports)\n", - "Statistical=0.800, p=0.000\n", - "IDN-Transport services (% of commercial service imports)\n", - "Statistical=0.846, p=0.000\n", - "IDN-Transport services (% of service exports, BoP)\n", - "Statistical=0.897, p=0.005\n", - "IDN-Transport services (% of service imports, BoP)\n", - "Statistical=0.952, p=0.161\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Travel services (% of commercial service exports)\n", - "Statistical=0.864, p=0.001\n", - "IDN-Travel services (% of commercial service imports)\n", - "Statistical=0.969, p=0.459\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Travel services (% of service exports, BoP)\n", - "Statistical=0.925, p=0.028\n", - "IDN-Travel services (% of service imports, BoP)\n", - "Statistical=0.925, p=0.028\n", - "IDN-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.875, p=0.001\n", - "IDN-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.862, p=0.001\n", - "IDN-UHC service coverage index\n", - "Statistical=0.861, p=0.001\n", - "IDN-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.837, p=0.000\n", - "IDN-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.965, p=0.376\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Urban land area (sq. km)\n", - "Statistical=0.960, p=0.272\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.919, p=0.020\n", - "IDN-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.910, p=0.011\n", - "IDN-Urban population\n", - "Statistical=0.929, p=0.037\n", - "IDN-Urban population (% of total population)\n", - "Statistical=0.959, p=0.254\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Urban population growth (annual %)\n", - "Statistical=0.782, p=0.000\n", - "IDN-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.782, p=0.000\n", - "IDN-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.798, p=0.000\n", - "IDN-GDP (current US$)+1\n", - "Statistical=0.798, p=0.000\n", - "IDN-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-GDP (current US$)+2\n", - "Statistical=0.590, p=0.000\n", - "IDN-GDP (current US$)+3\n", - "Statistical=0.615, p=0.000\n", - "IDN-GDP (current US$)+5\n", - "Statistical=0.934, p=0.050\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-GDP (current US$)+8\n", - "Statistical=0.974, p=0.616\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-GDP (current US$)+13\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-GDP (current US$)+21\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.857, p=0.001\n", - "IDN-Deposit interest rate (%)\n", - "Statistical=0.830, p=0.000\n", - "IDN-Other taxes (% of revenue)\n", - "Statistical=0.897, p=0.005\n", - "IDN-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.970, p=0.487\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Taxes on international trade (% of revenue)\n", - "Statistical=0.970, p=0.487\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.973, p=0.579\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Broad money (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Broad money growth (annual %)\n", - "Statistical=0.973, p=0.577\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Broad money to total reserves ratio\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.974, p=0.627\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.852, p=0.000\n", - "IDN-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.971, p=0.516\n", - "Data is NORMAL ( H0 not denied )\n", - "IDN-External health expenditure (% of current health expenditure)\n", - "Statistical=0.859, p=0.001\n", - "IDN-External health expenditure per capita (current US$)\n", - "Statistical=0.713, p=0.000\n", - "IDN-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.678, p=0.000\n", - "IDN-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.804, p=0.000\n", - "IDN-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.843, p=0.000\n", - "IDN-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.873, p=0.001\n", - "IDN-People practicing open defecation (% of population)\n", - "Statistical=0.925, p=0.029\n", - "IDN-Taxes on exports (% of tax revenue)\n", - "Statistical=0.872, p=0.001\n", - "IDN-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.827, p=0.000\n", - "IDN-Country\n", - "Statistical=0.839, p=0.000\n", - "IDN-Year\n", - "Statistical=0.773, p=0.000\n", - "IDN-Continent\n", - "Statistical=0.790, p=0.000\n", - "PHL-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Adjusted net national income (current US$)\n", - "Statistical=0.815, p=0.000\n", - "PHL-Adjusted net national income per capita (current US$)\n", - "Statistical=0.852, p=0.000\n", - "PHL-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.870, p=0.001\n", - "PHL-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.924, p=0.026\n", - "PHL-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.620, p=0.000\n", - "PHL-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.617, p=0.000\n", - "PHL-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.614, p=0.000\n", - "PHL-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.621, p=0.000\n", - "PHL-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.603, p=0.000\n", - "PHL-Age dependency ratio (% of working-age population)\n", - "Statistical=0.604, p=0.000\n", - "PHL-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.593, p=0.000\n", - "PHL-Agricultural land (% of land area)\n", - "Statistical=0.611, p=0.000\n", - "PHL-Agricultural land (sq. km)\n", - "Statistical=0.557, p=0.000\n", - "PHL-Agricultural methane emissions (% of total)\n", - "Statistical=0.882, p=0.002\n", - "PHL-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.827, p=0.000\n", - "PHL-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.868, p=0.001\n", - "PHL-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.965, p=0.374\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.890, p=0.003\n", - "PHL-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.852, p=0.000\n", - "PHL-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.970, p=0.496\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Aquaculture production (metric tons)\n", - "Statistical=0.876, p=0.002\n", - "PHL-Arable land (% of land area)\n", - "Statistical=0.852, p=0.000\n", - "PHL-Arable land (hectares per person)\n", - "Statistical=0.776, p=0.000\n", - "PHL-Arable land (hectares)\n", - "Statistical=0.864, p=0.001\n", - "PHL-Armed forces personnel (% of total labor force)\n", - "Statistical=0.769, p=0.000\n", - "PHL-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.866, p=0.001\n", - "PHL-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.863, p=0.001\n", - "PHL-Average precipitation in depth (mm per year)\n", - "Statistical=0.903, p=0.008\n", - "PHL-Average time to clear exports through customs (days)\n", - "Statistical=0.872, p=0.001\n", - "PHL-Births attended by skilled health staff (% of total)\n", - "Statistical=0.796, p=0.000\n", - "PHL-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.883, p=0.002\n", - "PHL-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.886, p=0.003\n", - "PHL-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.869, p=0.001\n", - "PHL-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.794, p=0.000\n", - "PHL-CO2 emissions (kt)\n", - "Statistical=0.905, p=0.008\n", - "PHL-CO2 emissions (metric tons per capita)\n", - "Statistical=0.821, p=0.000\n", - "PHL-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.903, p=0.007\n", - "PHL-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=0.922, p=0.023\n", - "PHL-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=0.908, p=0.010\n", - "PHL-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.756, p=0.000\n", - "PHL-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.862, p=0.001\n", - "PHL-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.932, p=0.044\n", - "PHL-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.801, p=0.000\n", - "PHL-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.911, p=0.012\n", - "PHL-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.860, p=0.001\n", - "PHL-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.845, p=0.000\n", - "PHL-Capture fisheries production (metric tons)\n", - "Statistical=0.831, p=0.000\n", - "PHL-Cereal production (metric tons)\n", - "Statistical=0.930, p=0.038\n", - "PHL-Cereal yield (kg per hectare)\n", - "Statistical=0.855, p=0.001\n", - "PHL-Changes in inventories (current US$)\n", - "Statistical=0.930, p=0.038\n", - "PHL-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.689, p=0.000\n", - "PHL-Children out of school (% of primary school age)\n", - "Statistical=0.808, p=0.000\n", - "PHL-Coal rents (% of GDP)\n", - "Statistical=0.808, p=0.000\n", - "PHL-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.686, p=0.000\n", - "PHL-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.690, p=0.000\n", - "PHL-Commercial service exports (current US$)\n", - "Statistical=0.892, p=0.004\n", - "PHL-Commercial service imports (current US$)\n", - "Statistical=0.885, p=0.003\n", - "PHL-Completeness of birth registration (%)\n", - "Statistical=0.842, p=0.000\n", - "PHL-Consumer price index (2010 = 100)\n", - "Statistical=0.948, p=0.129\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.913, p=0.013\n", - "PHL-Crop production index (2014-2016 = 100)\n", - "Statistical=0.794, p=0.000\n", - "PHL-Current account balance (% of GDP)\n", - "Statistical=0.925, p=0.029\n", - "PHL-Current account balance (BoP, current US$)\n", - "Statistical=0.956, p=0.216\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Current health expenditure (% of GDP)\n", - "Statistical=0.890, p=0.004\n", - "PHL-Current health expenditure per capita (current US$)\n", - "Statistical=0.890, p=0.004\n", - "PHL-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.889, p=0.003\n", - "PHL-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.837, p=0.000\n", - "PHL-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.902, p=0.007\n", - "PHL-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.923, p=0.025\n", - "PHL-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.743, p=0.000\n", - "PHL-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.738, p=0.000\n", - "PHL-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.974, p=0.614\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.658, p=0.000\n", - "PHL-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.631, p=0.000\n", - "PHL-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.661, p=0.000\n", - "PHL-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.670, p=0.000\n", - "PHL-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.670, p=0.000\n", - "PHL-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.854, p=0.001\n", - "PHL-Electric power consumption (kWh per capita)\n", - "Statistical=0.880, p=0.002\n", - "PHL-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.859, p=0.001\n", - "PHL-Electricity production from coal sources (% of total)\n", - "Statistical=0.880, p=0.002\n", - "PHL-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.807, p=0.000\n", - "PHL-Electricity production from nuclear sources (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Electricity production from oil sources (% of total)\n", - "Statistical=0.848, p=0.000\n", - "PHL-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.742, p=0.000\n", - "PHL-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.657, p=0.000\n", - "PHL-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.707, p=0.000\n", - "PHL-Energy related methane emissions (% of total)\n", - "Statistical=0.728, p=0.000\n", - "PHL-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.807, p=0.000\n", - "PHL-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Export unit value index (2000 = 100)\n", - "Statistical=0.862, p=0.001\n", - "PHL-Export value index (2000 = 100)\n", - "Statistical=0.638, p=0.000\n", - "PHL-Export volume index (2000 = 100)\n", - "Statistical=0.868, p=0.001\n", - "PHL-Exports of goods and services (% of GDP)\n", - "Statistical=0.792, p=0.000\n", - "PHL-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.910, p=0.011\n", - "PHL-Exports of goods and services (current US$)\n", - "Statistical=0.849, p=0.000\n", - "PHL-External balance on goods and services (% of GDP)\n", - "Statistical=0.855, p=0.001\n", - "PHL-External balance on goods and services (current US$)\n", - "Statistical=0.974, p=0.607\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.845, p=0.000\n", - "PHL-Final consumption expenditure (% of GDP)\n", - "Statistical=0.846, p=0.000\n", - "PHL-Final consumption expenditure (current US$)\n", - "Statistical=0.849, p=0.000\n", - "PHL-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.887, p=0.003\n", - "PHL-Firms offering formal training (% of firms)\n", - "Statistical=0.928, p=0.034\n", - "PHL-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.885, p=0.003\n", - "PHL-Firms using banks to finance working capital (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Firms with female participation in ownership (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Fixed broadband subscriptions\n", - "Statistical=0.873, p=0.001\n", - "PHL-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.911, p=0.012\n", - "PHL-Fixed telephone subscriptions\n", - "Statistical=0.844, p=0.000\n", - "PHL-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.904, p=0.008\n", - "PHL-Food exports (% of merchandise exports)\n", - "Statistical=0.956, p=0.215\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Food imports (% of merchandise imports)\n", - "Statistical=0.868, p=0.001\n", - "PHL-Food production index (2014-2016 = 100)\n", - "Statistical=0.868, p=0.001\n", - "PHL-Forest area (% of land area)\n", - "Statistical=0.854, p=0.001\n", - "PHL-Forest area (sq. km)\n", - "Statistical=0.881, p=0.002\n", - "PHL-Forest rents (% of GDP)\n", - "Statistical=0.907, p=0.010\n", - "PHL-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.839, p=0.000\n", - "PHL-Fuel exports (% of merchandise exports)\n", - "Statistical=0.846, p=0.000\n", - "PHL-Fuel imports (% of merchandise imports)\n", - "Statistical=0.847, p=0.000\n", - "PHL-GDP (current US$)\n", - "Statistical=0.898, p=0.005\n", - "PHL-GDP deflator (base year varies by country)\n", - "Statistical=0.887, p=0.003\n", - "PHL-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.872, p=0.001\n", - "PHL-GDP growth (annual %)\n", - "Statistical=0.860, p=0.001\n", - "PHL-GDP per capita (current US$)\n", - "Statistical=0.932, p=0.044\n", - "PHL-GDP per capita growth (annual %)\n", - "Statistical=0.890, p=0.003\n", - "PHL-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.912, p=0.013\n", - "PHL-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.910, p=0.011\n", - "PHL-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.912, p=0.013\n", - "PHL-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.898, p=0.006\n", - "PHL-GNI (current US$)\n", - "Statistical=0.912, p=0.013\n", - "PHL-GNI growth (annual %)\n", - "Statistical=0.921, p=0.022\n", - "PHL-GNI per capita growth (annual %)\n", - "Statistical=0.911, p=0.012\n", - "PHL-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.977, p=0.708\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-General government final consumption expenditure (current US$)\n", - "Statistical=0.956, p=0.217\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Gini index\n", - "Statistical=0.971, p=0.515\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Goods exports (BoP, current US$)\n", - "Statistical=0.909, p=0.011\n", - "PHL-Goods imports (BoP, current US$)\n", - "Statistical=0.786, p=0.000\n", - "PHL-Grants and other revenue (% of revenue)\n", - "Statistical=0.883, p=0.002\n", - "PHL-Gross capital formation (% of GDP)\n", - "Statistical=0.880, p=0.002\n", - "PHL-Gross capital formation (current US$)\n", - "Statistical=0.897, p=0.005\n", - "PHL-Gross domestic savings (% of GDP)\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Gross domestic savings (current US$)\n", - "Statistical=0.841, p=0.000\n", - "PHL-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.809, p=0.000\n", - "PHL-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Gross national expenditure (current US$)\n", - "Statistical=0.585, p=0.000\n", - "PHL-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.948, p=0.130\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Gross savings (% of GDP)\n", - "Statistical=0.841, p=0.000\n", - "PHL-Gross savings (current US$)\n", - "Statistical=0.948, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.813, p=0.000\n", - "PHL-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.913, p=0.013\n", - "PHL-High-technology exports (% of manufactured exports)\n", - "Statistical=0.894, p=0.004\n", - "PHL-High-technology exports (current US$)\n", - "Statistical=0.849, p=0.000\n", - "PHL-Hospital beds (per 1,000 people)\n", - "Statistical=0.849, p=0.000\n", - "PHL-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.809, p=0.000\n", - "PHL-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.823, p=0.000\n", - "PHL-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.823, p=0.000\n", - "PHL-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.823, p=0.000\n", - "PHL-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.875, p=0.002\n", - "PHL-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.953, p=0.177\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.925, p=0.029\n", - "PHL-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.890, p=0.003\n", - "PHL-ICT goods exports (% of total goods exports)\n", - "Statistical=0.861, p=0.001\n", - "PHL-ICT goods imports (% total goods imports)\n", - "Statistical=0.871, p=0.001\n", - "PHL-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.813, p=0.000\n", - "PHL-ICT service exports (BoP, current US$)\n", - "Statistical=0.810, p=0.000\n", - "PHL-Import unit value index (2000 = 100)\n", - "Statistical=0.838, p=0.000\n", - "PHL-Import value index (2000 = 100)\n", - "Statistical=0.852, p=0.000\n", - "PHL-Import volume index (2000 = 100)\n", - "Statistical=0.856, p=0.001\n", - "PHL-Imports of goods and services (% of GDP)\n", - "Statistical=0.869, p=0.001\n", - "PHL-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.901, p=0.006\n", - "PHL-Imports of goods and services (current US$)\n", - "Statistical=0.904, p=0.008\n", - "PHL-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=0.478, p=0.000\n", - "PHL-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "PHL-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Income share held by highest 20%\n", - "Statistical=0.870, p=0.001\n", - "PHL-Income share held by lowest 10%\n", - "Statistical=0.970, p=0.499\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Income share held by lowest 20%\n", - "Statistical=0.970, p=0.495\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Income share held by second 20%\n", - "Statistical=0.948, p=0.129\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Income share held by third 20%\n", - "Statistical=0.880, p=0.002\n", - "PHL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.921, p=0.022\n", - "PHL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.806, p=0.000\n", - "PHL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.777, p=0.000\n", - "PHL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.883, p=0.002\n", - "PHL-Individuals using the Internet (% of population)\n", - "Statistical=0.796, p=0.000\n", - "PHL-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.827, p=0.000\n", - "PHL-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.460, p=0.000\n", - "PHL-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.840, p=0.000\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PHL-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.871, p=0.001\n", - "PHL-Intentional homicides (per 100,000 people)\n", - "Statistical=0.876, p=0.002\n", - "PHL-Interest payments (% of revenue)\n", - "Statistical=0.855, p=0.001\n", - "PHL-International migrant stock (% of population)\n", - "Statistical=0.787, p=0.000\n", - "PHL-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.864, p=0.001\n", - "PHL-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.726, p=0.000\n", - "PHL-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.688, p=0.000\n", - "PHL-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.721, p=0.000\n", - "PHL-Land area (sq. km)\n", - "Statistical=0.838, p=0.000\n", - "PHL-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.890, p=0.004\n", - "PHL-Land under cereal production (hectares)\n", - "Statistical=0.864, p=0.001\n", - "PHL-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.896, p=0.005\n", - "PHL-Lifetime risk of maternal death (%)\n", - "Statistical=0.922, p=0.024\n", - "PHL-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.881, p=0.002\n", - "PHL-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Livestock production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.748, p=0.000\n", - "PHL-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.911, p=0.012\n", - "PHL-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.917, p=0.017\n", - "PHL-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.846, p=0.000\n", - "PHL-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.946, p=0.111\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.890, p=0.003\n", - "PHL-Low-birthweight babies (% of births)\n", - "Statistical=0.881, p=0.002\n", - "PHL-Lower secondary school starting age (years)\n", - "Statistical=0.946, p=0.112\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.900, p=0.006\n", - "PHL-Marine protected areas (% of territorial waters)\n", - "Statistical=0.900, p=0.006\n", - "PHL-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.898, p=0.005\n", - "PHL-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.947, p=0.118\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.912, p=0.013\n", - "PHL-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.932, p=0.044\n", - "PHL-Merchandise exports (current US$)\n", - "Statistical=0.878, p=0.002\n", - "PHL-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.946, p=0.111\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.929, p=0.037\n", - "PHL-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.898, p=0.005\n", - "PHL-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.834, p=0.000\n", - "PHL-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.869, p=0.001\n", - "PHL-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.800, p=0.000\n", - "PHL-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.867, p=0.001\n", - "PHL-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.798, p=0.000\n", - "PHL-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Merchandise imports (current US$)\n", - "Statistical=0.823, p=0.000\n", - "PHL-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.913, p=0.013\n", - "PHL-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.970, p=0.508\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.804, p=0.000\n", - "PHL-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.804, p=0.000\n", - "PHL-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.980, p=0.805\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.947, p=0.119\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.943, p=0.091\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.949, p=0.131\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.930, p=0.040\n", - "PHL-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.928, p=0.034\n", - "PHL-Merchandise trade (% of GDP)\n", - "Statistical=0.979, p=0.780\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Methane emissions (% change from 1990)\n", - "Statistical=0.916, p=0.016\n", - "PHL-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.916, p=0.016\n", - "PHL-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Military expenditure (% of GDP)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Military expenditure (% of general government expenditure)\n", - "Statistical=0.933, p=0.048\n", - "PHL-Military expenditure (current USD)\n", - "Statistical=0.968, p=0.439\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Mineral rents (% of GDP)\n", - "Statistical=0.277, p=0.000\n", - "PHL-Mobile cellular subscriptions\n", - "Statistical=0.853, p=0.000\n", - "PHL-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.881, p=0.002\n", - "PHL-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.867, p=0.001\n", - "PHL-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.883, p=0.002\n", - "PHL-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.890, p=0.003\n", - "PHL-Natural gas rents (% of GDP)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.825, p=0.000\n", - "PHL-Net capital account (BoP, current US$)\n", - "Statistical=0.953, p=0.178\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.966, p=0.403\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Net financial account (BoP, current US$)\n", - "Statistical=0.979, p=0.773\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Net migration\n", - "Statistical=0.895, p=0.005\n", - "PHL-Net primary income (BoP, current US$)\n", - "Statistical=0.895, p=0.005\n", - "PHL-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.886, p=0.003\n", - "PHL-Net secondary income (BoP, current US$)\n", - "Statistical=0.852, p=0.000\n", - "PHL-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.657, p=0.000\n", - "PHL-Net trade in goods (BoP, current US$)\n", - "Statistical=0.657, p=0.000\n", - "PHL-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.657, p=0.000\n", - "PHL-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.657, p=0.000\n", - "PHL-New businesses registered (number)\n", - "Statistical=0.657, p=0.000\n", - "PHL-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.758, p=0.000\n", - "PHL-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.771, p=0.000\n", - "PHL-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.891, p=0.004\n", - "PHL-Number of deaths ages 10-14 years\n", - "Statistical=0.843, p=0.000\n", - "PHL-Number of deaths ages 15-19 years\n", - "Statistical=0.894, p=0.004\n", - "PHL-Number of deaths ages 20-24 years\n", - "Statistical=0.925, p=0.029\n", - "PHL-Number of deaths ages 5-9 years\n", - "Statistical=0.895, p=0.005\n", - "PHL-Number of infant deaths\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Number of maternal deaths\n", - "Statistical=0.981, p=0.832\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Number of neonatal deaths\n", - "Statistical=0.970, p=0.491\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Number of under-five deaths\n", - "Statistical=0.833, p=0.000\n", - "PHL-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.977, p=0.719\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.882, p=0.002\n", - "PHL-Oil rents (% of GDP)\n", - "Statistical=0.932, p=0.044\n", - "PHL-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.932, p=0.044\n", - "PHL-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.903, p=0.007\n", - "PHL-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.964, p=0.345\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.913, p=0.014\n", - "PHL-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.892, p=0.004\n", - "PHL-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.892, p=0.004\n", - "PHL-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.892, p=0.004\n", - "PHL-People using at least basic drinking water services (% of population)\n", - "Statistical=0.849, p=0.000\n", - "PHL-People using at least basic sanitation services (% of population)\n", - "Statistical=0.927, p=0.033\n", - "PHL-People using safely managed sanitation services (% of population)\n", - "Statistical=0.927, p=0.033\n", - "PHL-Permanent cropland (% of land area)\n", - "Statistical=0.893, p=0.004\n", - "PHL-Physicians (per 1,000 people)\n", - "Statistical=0.875, p=0.002\n", - "PHL-Population ages 0-14 (% of total population)\n", - "Statistical=0.875, p=0.002\n", - "PHL-Population ages 15-64 (% of total population)\n", - "Statistical=0.913, p=0.013\n", - "PHL-Population ages 65 and above (% of total population)\n", - "Statistical=0.847, p=0.000\n", - "PHL-Population density (people per sq. km of land area)\n", - "Statistical=0.900, p=0.006\n", - "PHL-Population growth (annual %)\n", - "Statistical=0.875, p=0.002\n", - "PHL-Population in largest city\n", - "Statistical=0.897, p=0.005\n", - "PHL-Population in the largest city (% of urban population)\n", - "Statistical=0.851, p=0.000\n", - "PHL-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.818, p=0.000\n", - "PHL-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.801, p=0.000\n", - "PHL-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.892, p=0.004\n", - "PHL-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.893, p=0.004\n", - "PHL-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.892, p=0.004\n", - "PHL-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.908, p=0.010\n", - "PHL-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.908, p=0.010\n", - "PHL-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.895, p=0.005\n", - "PHL-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.850, p=0.000\n", - "PHL-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.948, p=0.130\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.907, p=0.009\n", - "PHL-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.907, p=0.009\n", - "PHL-Prevalence of undernourishment (% of population)\n", - "Statistical=0.916, p=0.016\n", - "PHL-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.933, p=0.047\n", - "PHL-Primary income payments (BoP, current US$)\n", - "Statistical=0.848, p=0.000\n", - "PHL-Primary income receipts (BoP, current US$)\n", - "Statistical=0.907, p=0.009\n", - "PHL-Primary school starting age (years)\n", - "Statistical=0.911, p=0.012\n", - "PHL-Private credit bureau coverage (% of adults)\n", - "Statistical=0.848, p=0.000\n", - "PHL-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.908, p=0.010\n", - "PHL-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.902, p=0.007\n", - "PHL-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.895, p=0.005\n", - "PHL-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.944, p=0.098\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Procedures to build a warehouse (number)\n", - "Statistical=0.980, p=0.793\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Procedures to register property (number)\n", - "Statistical=0.805, p=0.000\n", - "PHL-Profit tax (% of commercial profits)\n", - "Statistical=0.805, p=0.000\n", - "PHL-Progression to secondary school (%)\n", - "Statistical=0.847, p=0.000\n", - "PHL-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.833, p=0.000\n", - "PHL-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.813, p=0.000\n", - "PHL-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.945, p=0.105\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.918, p=0.018\n", - "PHL-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.960, p=0.271\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Public credit registry coverage (% of adults)\n", - "Statistical=0.743, p=0.000\n", - "PHL-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.751, p=0.000\n", - "PHL-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.776, p=0.000\n", - "PHL-Rail lines (total route-km)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.892, p=0.004\n", - "PHL-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.899, p=0.006\n", - "PHL-Refugee population by country or territory of asylum\n", - "Statistical=0.967, p=0.413\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Refugee population by country or territory of origin\n", - "Statistical=0.979, p=0.757\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.835, p=0.000\n", - "PHL-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.835, p=0.000\n", - "PHL-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.875, p=0.002\n", - "PHL-Research and development expenditure (% of GDP)\n", - "Statistical=0.839, p=0.000\n", - "PHL-Researchers in R&D (per million people)\n", - "Statistical=0.902, p=0.007\n", - "PHL-Reserves and related items (BoP, current US$)\n", - "Statistical=0.966, p=0.403\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.901, p=0.007\n", - "PHL-Rural land area (sq. km)\n", - "Statistical=0.843, p=0.000\n", - "PHL-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.821, p=0.000\n", - "PHL-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.862, p=0.001\n", - "PHL-Rural population\n", - "Statistical=0.767, p=0.000\n", - "PHL-Rural population (% of total population)\n", - "Statistical=0.767, p=0.000\n", - "PHL-Rural population growth (annual %)\n", - "Statistical=0.791, p=0.000\n", - "PHL-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.795, p=0.000\n", - "PHL-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.910, p=0.011\n", - "PHL-Scientific and technical journal articles\n", - "Statistical=0.890, p=0.003\n", - "PHL-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.895, p=0.005\n", - "PHL-Secure Internet servers\n", - "Statistical=0.964, p=0.363\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Secure Internet servers (per 1 million people)\n", - "Statistical=0.881, p=0.002\n", - "PHL-Service exports (BoP, current US$)\n", - "Statistical=0.881, p=0.002\n", - "PHL-Service imports (BoP, current US$)\n", - "Statistical=0.883, p=0.002\n", - "PHL-Sex ratio at birth (male births per female births)\n", - "Statistical=0.846, p=0.000\n", - "PHL-Social contributions (% of revenue)\n", - "Statistical=0.932, p=0.045\n", - "PHL-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.817, p=0.000\n", - "PHL-Start-up procedures to register a business (number)\n", - "Statistical=0.832, p=0.000\n", - "PHL-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.913, p=0.014\n", - "PHL-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.874, p=0.001\n", - "PHL-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.394, p=0.000\n", - "PHL-Surface area (sq. km)\n", - "Statistical=0.372, p=0.000\n", - "PHL-Tax payments (number)\n", - "Statistical=0.858, p=0.001\n", - "PHL-Tax revenue (% of GDP)\n", - "Statistical=0.949, p=0.132\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Taxes less subsidies on products (current US$)\n", - "Statistical=0.907, p=0.010\n", - "PHL-Taxes on goods and services (% of revenue)\n", - "Statistical=0.907, p=0.010\n", - "PHL-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.892, p=0.004\n", - "PHL-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.853, p=0.000\n", - "PHL-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.902, p=0.007\n", - "PHL-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.973, p=0.597\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Time required to build a warehouse (days)\n", - "Statistical=0.907, p=0.010\n", - "PHL-Time required to enforce a contract (days)\n", - "Statistical=0.896, p=0.005\n", - "PHL-Time required to get electricity (days)\n", - "Statistical=0.972, p=0.550\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Time required to register property (days)\n", - "Statistical=0.892, p=0.004\n", - "PHL-Time required to start a business (days)\n", - "Statistical=0.343, p=0.000\n", - "PHL-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.334, p=0.000\n", - "PHL-Time to obtain an electrical connection (days)\n", - "Statistical=0.348, p=0.000\n", - "PHL-Time to prepare and pay taxes (hours)\n", - "Statistical=0.376, p=0.000\n", - "PHL-Time to resolve insolvency (years)\n", - "Statistical=0.375, p=0.000\n", - "PHL-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.345, p=0.000\n", - "PHL-Total fisheries production (metric tons)\n", - "Statistical=0.412, p=0.000\n", - "PHL-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.418, p=0.000\n", - "PHL-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.346, p=0.000\n", - "PHL-Total natural resources rents (% of GDP)\n", - "Statistical=0.915, p=0.015\n", - "PHL-Total reserves (includes gold, current US$)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Total reserves in months of imports\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Total reserves minus gold (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Total tax and contribution rate (% of profit)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Trade (% of GDP)\n", - "Statistical=0.899, p=0.006\n", - "PHL-Trade in services (% of GDP)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Transport services (% of commercial service exports)\n", - "Statistical=0.963, p=0.335\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Transport services (% of commercial service imports)\n", - "Statistical=0.951, p=0.156\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Transport services (% of service exports, BoP)\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Transport services (% of service imports, BoP)\n", - "Statistical=0.949, p=0.132\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Travel services (% of commercial service exports)\n", - "Statistical=0.912, p=0.013\n", - "PHL-Travel services (% of commercial service imports)\n", - "Statistical=0.971, p=0.520\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Travel services (% of service exports, BoP)\n", - "Statistical=0.887, p=0.003\n", - "PHL-Travel services (% of service imports, BoP)\n", - "Statistical=0.887, p=0.003\n", - "PHL-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.913, p=0.013\n", - "PHL-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.909, p=0.011\n", - "PHL-UHC service coverage index\n", - "Statistical=0.914, p=0.014\n", - "PHL-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.863, p=0.001\n", - "PHL-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.756, p=0.000\n", - "PHL-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.838, p=0.000\n", - "PHL-Urban land area (sq. km)\n", - "Statistical=0.820, p=0.000\n", - "PHL-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.806, p=0.000\n", - "PHL-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.772, p=0.000\n", - "PHL-Urban population\n", - "Statistical=0.789, p=0.000\n", - "PHL-Urban population (% of total population)\n", - "Statistical=0.830, p=0.000\n", - "PHL-Urban population growth (annual %)\n", - "Statistical=0.902, p=0.007\n", - "PHL-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.902, p=0.007\n", - "PHL-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.865, p=0.001\n", - "PHL-GDP (current US$)+1\n", - "Statistical=0.865, p=0.001\n", - "PHL-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-GDP (current US$)+2\n", - "Statistical=0.931, p=0.043\n", - "PHL-GDP (current US$)+3\n", - "Statistical=0.947, p=0.116\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-GDP (current US$)+5\n", - "Statistical=0.967, p=0.410\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-GDP (current US$)+8\n", - "Statistical=0.910, p=0.011\n", - "PHL-GDP (current US$)+13\n", - "Statistical=0.891, p=0.004\n", - "PHL-GDP (current US$)+21\n", - "Statistical=0.891, p=0.004\n", - "PHL-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.909, p=0.011\n", - "PHL-Deposit interest rate (%)\n", - "Statistical=0.855, p=0.001\n", - "PHL-Other taxes (% of revenue)\n", - "Statistical=0.858, p=0.001\n", - "PHL-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.970, p=0.510\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Taxes on international trade (% of revenue)\n", - "Statistical=0.970, p=0.508\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.944, p=0.097\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Broad money (% of GDP)\n", - "Statistical=0.970, p=0.491\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Broad money growth (annual %)\n", - "Statistical=0.956, p=0.214\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Broad money to total reserves ratio\n", - "Statistical=0.970, p=0.507\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.958, p=0.238\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.897, p=0.005\n", - "PHL-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-External health expenditure (% of current health expenditure)\n", - "Statistical=0.829, p=0.000\n", - "PHL-External health expenditure per capita (current US$)\n", - "Statistical=0.742, p=0.000\n", - "PHL-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.807, p=0.000\n", - "PHL-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.925, p=0.029\n", - "PHL-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.946, p=0.112\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.827, p=0.000\n", - "PHL-People practicing open defecation (% of population)\n", - "Statistical=0.934, p=0.050\n", - "PHL-Taxes on exports (% of tax revenue)\n", - "Statistical=0.822, p=0.000\n", - "PHL-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.814, p=0.000\n", - "PHL-Country\n", - "Statistical=0.940, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "PHL-Year\n", - "Statistical=0.877, p=0.002\n", - "PHL-Continent\n", - "Statistical=0.904, p=0.008\n", - "KOR-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.620, p=0.000\n", - "KOR-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.566, p=0.000\n", - "KOR-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.627, p=0.000\n", - "KOR-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.599, p=0.000\n", - "KOR-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.663, p=0.000\n", - "KOR-Age dependency ratio (% of working-age population)\n", - "Statistical=0.543, p=0.000\n", - "KOR-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.597, p=0.000\n", - "KOR-Agricultural land (% of land area)\n", - "Statistical=0.620, p=0.000\n", - "KOR-Agricultural land (sq. km)\n", - "Statistical=0.620, p=0.000\n", - "KOR-Agricultural methane emissions (% of total)\n", - "Statistical=0.894, p=0.004\n", - "KOR-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.578, p=0.000\n", - "KOR-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.444, p=0.000\n", - "KOR-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.959, p=0.253\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.912, p=0.013\n", - "KOR-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.965, p=0.384\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Aquaculture production (metric tons)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Arable land (% of land area)\n", - "Statistical=0.915, p=0.015\n", - "KOR-Arable land (hectares per person)\n", - "Statistical=0.847, p=0.000\n", - "KOR-Arable land (hectares)\n", - "Statistical=0.913, p=0.013\n", - "KOR-Armed forces personnel (% of total labor force)\n", - "Statistical=0.850, p=0.000\n", - "KOR-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.913, p=0.014\n", - "KOR-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.919, p=0.020\n", - "KOR-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.921, p=0.022\n", - "KOR-Average precipitation in depth (mm per year)\n", - "Statistical=0.850, p=0.000\n", - "KOR-Average time to clear exports through customs (days)\n", - "Statistical=0.914, p=0.014\n", - "KOR-Births attended by skilled health staff (% of total)\n", - "Statistical=0.885, p=0.003\n", - "KOR-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.881, p=0.002\n", - "KOR-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.878, p=0.002\n", - "KOR-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.884, p=0.002\n", - "KOR-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.962, p=0.320\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-CO2 emissions (kt)\n", - "Statistical=0.771, p=0.000\n", - "KOR-CO2 emissions (metric tons per capita)\n", - "Statistical=0.805, p=0.000\n", - "KOR-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.968, p=0.457\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.816, p=0.000\n", - "KOR-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.921, p=0.023\n", - "KOR-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.802, p=0.000\n", - "KOR-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.904, p=0.008\n", - "KOR-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.894, p=0.004\n", - "KOR-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.932, p=0.044\n", - "KOR-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.948, p=0.125\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Capture fisheries production (metric tons)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Cereal production (metric tons)\n", - "Statistical=0.917, p=0.018\n", - "KOR-Cereal yield (kg per hectare)\n", - "Statistical=0.925, p=0.028\n", - "KOR-Changes in inventories (current US$)\n", - "Statistical=0.933, p=0.048\n", - "KOR-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.692, p=0.000\n", - "KOR-Children out of school (% of primary school age)\n", - "Statistical=0.948, p=0.128\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Coal rents (% of GDP)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.778, p=0.000\n", - "KOR-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.797, p=0.000\n", - "KOR-Commercial service exports (current US$)\n", - "Statistical=0.908, p=0.010\n", - "KOR-Commercial service imports (current US$)\n", - "Statistical=0.951, p=0.156\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Completeness of birth registration (%)\n", - "Statistical=0.833, p=0.000\n", - "KOR-Consumer price index (2010 = 100)\n", - "Statistical=0.869, p=0.001\n", - "KOR-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.927, p=0.033\n", - "KOR-Crop production index (2014-2016 = 100)\n", - "Statistical=0.814, p=0.000\n", - "KOR-Current account balance (% of GDP)\n", - "Statistical=0.845, p=0.000\n", - "KOR-Current account balance (BoP, current US$)\n", - "Statistical=0.963, p=0.333\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Current health expenditure (% of GDP)\n", - "Statistical=0.932, p=0.044\n", - "KOR-Current health expenditure per capita (current US$)\n", - "Statistical=0.932, p=0.044\n", - "KOR-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.946, p=0.110\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.895, p=0.005\n", - "KOR-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.962, p=0.318\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.864, p=0.001\n", - "KOR-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.974, p=0.612\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.901, p=0.007\n", - "KOR-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.925, p=0.028\n", - "KOR-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.950, p=0.147\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.777, p=0.000\n", - "KOR-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.654, p=0.000\n", - "KOR-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.654, p=0.000\n", - "KOR-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.885, p=0.003\n", - "KOR-Electric power consumption (kWh per capita)\n", - "Statistical=0.951, p=0.153\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Electricity production from coal sources (% of total)\n", - "Statistical=0.952, p=0.160\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.926, p=0.030\n", - "KOR-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.854, p=0.001\n", - "KOR-Electricity production from oil sources (% of total)\n", - "Statistical=0.980, p=0.799\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.775, p=0.000\n", - "KOR-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.787, p=0.000\n", - "KOR-Energy related methane emissions (% of total)\n", - "Statistical=0.838, p=0.000\n", - "KOR-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.732, p=0.000\n", - "KOR-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.923, p=0.026\n", - "KOR-Export unit value index (2000 = 100)\n", - "Statistical=0.640, p=0.000\n", - "KOR-Export value index (2000 = 100)\n", - "Statistical=0.831, p=0.000\n", - "KOR-Export volume index (2000 = 100)\n", - "Statistical=0.776, p=0.000\n", - "KOR-Exports of goods and services (% of GDP)\n", - "Statistical=0.812, p=0.000\n", - "KOR-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.858, p=0.001\n", - "KOR-Exports of goods and services (current US$)\n", - "Statistical=0.913, p=0.014\n", - "KOR-External balance on goods and services (% of GDP)\n", - "Statistical=0.922, p=0.023\n", - "KOR-External balance on goods and services (current US$)\n", - "Statistical=0.972, p=0.543\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.540, p=0.000\n", - "KOR-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.876, p=0.002\n", - "KOR-Final consumption expenditure (% of GDP)\n", - "Statistical=0.876, p=0.002\n", - "KOR-Final consumption expenditure (current US$)\n", - "Statistical=0.882, p=0.002\n", - "KOR-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.927, p=0.032\n", - "KOR-Firms offering formal training (% of firms)\n", - "Statistical=0.912, p=0.013\n", - "KOR-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.858, p=0.001\n", - "KOR-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.899, p=0.006\n", - "KOR-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.906, p=0.009\n", - "KOR-Fixed broadband subscriptions\n", - "Statistical=0.870, p=0.001\n", - "KOR-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.975, p=0.632\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Fixed telephone subscriptions\n", - "Statistical=0.828, p=0.000\n", - "KOR-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.871, p=0.001\n", - "KOR-Food exports (% of merchandise exports)\n", - "Statistical=0.870, p=0.001\n", - "KOR-Food imports (% of merchandise imports)\n", - "Statistical=0.890, p=0.003\n", - "KOR-Food production index (2014-2016 = 100)\n", - "Statistical=0.860, p=0.001\n", - "KOR-Forest area (% of land area)\n", - "Statistical=0.907, p=0.009\n", - "KOR-Forest area (sq. km)\n", - "Statistical=0.825, p=0.000\n", - "KOR-Forest rents (% of GDP)\n", - "Statistical=0.937, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.683, p=0.000\n", - "KOR-Fuel exports (% of merchandise exports)\n", - "Statistical=0.827, p=0.000\n", - "KOR-Fuel imports (% of merchandise imports)\n", - "Statistical=0.829, p=0.000\n", - "KOR-GDP (current US$)\n", - "Statistical=0.942, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-GDP deflator (base year varies by country)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.851, p=0.000\n", - "KOR-GDP growth (annual %)\n", - "Statistical=0.923, p=0.026\n", - "KOR-GDP per capita (current US$)\n", - "Statistical=0.872, p=0.001\n", - "KOR-GDP per capita growth (annual %)\n", - "Statistical=0.851, p=0.000\n", - "KOR-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.967, p=0.415\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.917, p=0.017\n", - "KOR-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.852, p=0.000\n", - "KOR-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-GNI (current US$)\n", - "Statistical=0.908, p=0.010\n", - "KOR-GNI growth (annual %)\n", - "Statistical=0.855, p=0.001\n", - "KOR-GNI per capita growth (annual %)\n", - "Statistical=0.885, p=0.003\n", - "KOR-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.969, p=0.471\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-General government final consumption expenditure (current US$)\n", - "Statistical=0.969, p=0.478\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Gini index\n", - "Statistical=0.928, p=0.034\n", - "KOR-Goods exports (BoP, current US$)\n", - "Statistical=0.867, p=0.001\n", - "KOR-Goods imports (BoP, current US$)\n", - "Statistical=0.862, p=0.001\n", - "KOR-Grants and other revenue (% of revenue)\n", - "Statistical=0.879, p=0.002\n", - "KOR-Gross capital formation (% of GDP)\n", - "Statistical=0.891, p=0.004\n", - "KOR-Gross capital formation (current US$)\n", - "Statistical=0.886, p=0.003\n", - "KOR-Gross domestic savings (% of GDP)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Gross domestic savings (current US$)\n", - "Statistical=0.927, p=0.031\n", - "KOR-Gross fixed capital formation (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Gross fixed capital formation (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Gross national expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Gross national expenditure (current US$)\n", - "Statistical=0.660, p=0.000\n", - "KOR-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.918, p=0.018\n", - "KOR-Gross savings (% of GDP)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Gross savings (current US$)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.842, p=0.000\n", - "KOR-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.948, p=0.123\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-High-technology exports (% of manufactured exports)\n", - "Statistical=0.831, p=0.000\n", - "KOR-High-technology exports (current US$)\n", - "Statistical=0.887, p=0.003\n", - "KOR-Hospital beds (per 1,000 people)\n", - "Statistical=0.914, p=0.014\n", - "KOR-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.886, p=0.003\n", - "KOR-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.805, p=0.000\n", - "KOR-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.805, p=0.000\n", - "KOR-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.805, p=0.000\n", - "KOR-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.933, p=0.047\n", - "KOR-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.980, p=0.810\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.899, p=0.006\n", - "KOR-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.852, p=0.000\n", - "KOR-ICT goods exports (% of total goods exports)\n", - "Statistical=0.719, p=0.000\n", - "KOR-ICT goods imports (% total goods imports)\n", - "Statistical=0.809, p=0.000\n", - "KOR-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.850, p=0.000\n", - "KOR-ICT service exports (BoP, current US$)\n", - "Statistical=0.829, p=0.000\n", - "KOR-Import unit value index (2000 = 100)\n", - "Statistical=0.834, p=0.000\n", - "KOR-Import value index (2000 = 100)\n", - "Statistical=0.948, p=0.130\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Import volume index (2000 = 100)\n", - "Statistical=0.963, p=0.335\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Imports of goods and services (% of GDP)\n", - "Statistical=0.919, p=0.019\n", - "KOR-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.913, p=0.013\n", - "KOR-Imports of goods and services (current US$)\n", - "Statistical=0.873, p=0.001\n", - "KOR-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "KOR-Income share held by highest 10%\n", - "Statistical=0.462, p=0.000\n", - "KOR-Income share held by highest 20%\n", - "Statistical=0.931, p=0.041\n", - "KOR-Income share held by lowest 10%\n", - "Statistical=0.867, p=0.001\n", - "KOR-Income share held by lowest 20%\n", - "Statistical=0.862, p=0.001\n", - "KOR-Income share held by second 20%\n", - "Statistical=0.871, p=0.001\n", - "KOR-Income share held by third 20%\n", - "Statistical=0.837, p=0.000\n", - "KOR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.860, p=0.001\n", - "KOR-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.839, p=0.000\n", - "KOR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.844, p=0.000\n", - "KOR-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.837, p=0.000\n", - "KOR-Individuals using the Internet (% of population)\n", - "Statistical=0.815, p=0.000\n", - "KOR-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.814, p=0.000\n", - "KOR-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.400, p=0.000\n", - "KOR-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.907, p=0.009\n", - "KOR-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.914, p=0.014\n", - "KOR-Intentional homicides (per 100,000 people)\n", - "Statistical=0.911, p=0.012\n", - "KOR-Interest payments (% of revenue)\n", - "Statistical=0.899, p=0.006\n", - "KOR-International migrant stock (% of population)\n", - "Statistical=0.910, p=0.011\n", - "KOR-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.904, p=0.008\n", - "KOR-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.910, p=0.012\n", - "KOR-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.921, p=0.023\n", - "KOR-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.917, p=0.018\n", - "KOR-Land area (sq. km)\n", - "Statistical=0.903, p=0.007\n", - "KOR-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.910, p=0.011\n", - "KOR-Land under cereal production (hectares)\n", - "Statistical=0.907, p=0.009\n", - "KOR-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.870, p=0.001\n", - "KOR-Lifetime risk of maternal death (%)\n", - "Statistical=0.885, p=0.003\n", - "KOR-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.791, p=0.000\n", - "KOR-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.892, p=0.004\n", - "KOR-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.910, p=0.011\n", - "KOR-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.802, p=0.000\n", - "KOR-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.782, p=0.000\n", - "KOR-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.746, p=0.000\n", - "KOR-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.918, p=0.018\n", - "KOR-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.911, p=0.012\n", - "KOR-Low-birthweight babies (% of births)\n", - "Statistical=0.948, p=0.130\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Lower secondary school starting age (years)\n", - "Statistical=0.910, p=0.011\n", - "KOR-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.907, p=0.009\n", - "KOR-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.912, p=0.013\n", - "KOR-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.819, p=0.000\n", - "KOR-Marine protected areas (% of territorial waters)\n", - "Statistical=0.856, p=0.001\n", - "KOR-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.774, p=0.000\n", - "KOR-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.864, p=0.001\n", - "KOR-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.891, p=0.004\n", - "KOR-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.821, p=0.000\n", - "KOR-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.968, p=0.439\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.967, p=0.424\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Merchandise exports (current US$)\n", - "Statistical=0.980, p=0.787\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.972, p=0.567\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.928, p=0.035\n", - "KOR-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.951, p=0.153\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.889, p=0.003\n", - "KOR-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.894, p=0.004\n", - "KOR-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.953, p=0.172\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.913, p=0.014\n", - "KOR-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.923, p=0.024\n", - "KOR-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Merchandise imports (current US$)\n", - "Statistical=0.861, p=0.001\n", - "KOR-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.879, p=0.002\n", - "KOR-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.901, p=0.007\n", - "KOR-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.850, p=0.000\n", - "KOR-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.610, p=0.000\n", - "KOR-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.820, p=0.000\n", - "KOR-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.868, p=0.001\n", - "KOR-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.874, p=0.001\n", - "KOR-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.908, p=0.010\n", - "KOR-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.951, p=0.153\n", - "Data is NORMAL ( H0 not denied )\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "KOR-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.876, p=0.002\n", - "KOR-Merchandise trade (% of GDP)\n", - "Statistical=0.954, p=0.187\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Methane emissions (% change from 1990)\n", - "Statistical=0.882, p=0.002\n", - "KOR-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.882, p=0.002\n", - "KOR-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.865, p=0.001\n", - "KOR-Military expenditure (% of GDP)\n", - "Statistical=0.870, p=0.001\n", - "KOR-Military expenditure (% of general government expenditure)\n", - "Statistical=0.876, p=0.002\n", - "KOR-Military expenditure (current USD)\n", - "Statistical=0.974, p=0.628\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Mineral rents (% of GDP)\n", - "Statistical=0.453, p=0.000\n", - "KOR-Mobile cellular subscriptions\n", - "Statistical=0.901, p=0.007\n", - "KOR-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.913, p=0.013\n", - "KOR-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Natural gas rents (% of GDP)\n", - "Statistical=0.953, p=0.176\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.839, p=0.000\n", - "KOR-Net capital account (BoP, current US$)\n", - "Statistical=0.916, p=0.016\n", - "KOR-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.964, p=0.355\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Net financial account (BoP, current US$)\n", - "Statistical=0.970, p=0.511\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Net migration\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Net primary income (BoP, current US$)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Net secondary income (BoP, current US$)\n", - "Statistical=0.918, p=0.018\n", - "KOR-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Net trade in goods (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Net trade in goods and services (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-New businesses registered (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.842, p=0.000\n", - "KOR-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.840, p=0.000\n", - "KOR-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Number of deaths ages 10-14 years\n", - "Statistical=0.958, p=0.238\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Number of deaths ages 15-19 years\n", - "Statistical=0.875, p=0.001\n", - "KOR-Number of deaths ages 20-24 years\n", - "Statistical=0.954, p=0.183\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Number of deaths ages 5-9 years\n", - "Statistical=0.894, p=0.004\n", - "KOR-Number of infant deaths\n", - "Statistical=0.889, p=0.003\n", - "KOR-Number of maternal deaths\n", - "Statistical=0.904, p=0.008\n", - "KOR-Number of neonatal deaths\n", - "Statistical=0.958, p=0.237\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Number of under-five deaths\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.880, p=0.002\n", - "KOR-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.844, p=0.000\n", - "KOR-Oil rents (% of GDP)\n", - "Statistical=0.928, p=0.035\n", - "KOR-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.968, p=0.459\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.897, p=0.005\n", - "KOR-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.965, p=0.377\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.948, p=0.125\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.931, p=0.042\n", - "KOR-People using at least basic drinking water services (% of population)\n", - "Statistical=0.914, p=0.014\n", - "KOR-People using at least basic sanitation services (% of population)\n", - "Statistical=0.945, p=0.101\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-People using safely managed sanitation services (% of population)\n", - "Statistical=0.945, p=0.101\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Permanent cropland (% of land area)\n", - "Statistical=0.964, p=0.351\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Physicians (per 1,000 people)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Population ages 0-14 (% of total population)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Population ages 15-64 (% of total population)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Population ages 65 and above (% of total population)\n", - "Statistical=0.916, p=0.016\n", - "KOR-Population density (people per sq. km of land area)\n", - "Statistical=0.966, p=0.403\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Population growth (annual %)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Population in largest city\n", - "Statistical=0.945, p=0.105\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Population in the largest city (% of urban population)\n", - "Statistical=0.927, p=0.032\n", - "KOR-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.869, p=0.001\n", - "KOR-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.851, p=0.000\n", - "KOR-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.931, p=0.042\n", - "KOR-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.930, p=0.040\n", - "KOR-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.912, p=0.013\n", - "KOR-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.961, p=0.297\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Prevalence of undernourishment (% of population)\n", - "Statistical=0.933, p=0.049\n", - "KOR-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.963, p=0.323\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Primary income payments (BoP, current US$)\n", - "Statistical=0.918, p=0.019\n", - "KOR-Primary income receipts (BoP, current US$)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Primary school starting age (years)\n", - "Statistical=0.944, p=0.099\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Private credit bureau coverage (% of adults)\n", - "Statistical=0.917, p=0.017\n", - "KOR-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.930, p=0.040\n", - "KOR-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.930, p=0.040\n", - "KOR-Procedures to build a warehouse (number)\n", - "Statistical=0.977, p=0.715\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Procedures to register property (number)\n", - "Statistical=0.920, p=0.021\n", - "KOR-Profit tax (% of commercial profits)\n", - "Statistical=0.920, p=0.021\n", - "KOR-Progression to secondary school (%)\n", - "Statistical=0.918, p=0.018\n", - "KOR-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.897, p=0.005\n", - "KOR-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.867, p=0.001\n", - "KOR-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.873, p=0.001\n", - "KOR-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.885, p=0.003\n", - "KOR-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.952, p=0.163\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Public credit registry coverage (% of adults)\n", - "Statistical=0.849, p=0.000\n", - "KOR-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.848, p=0.000\n", - "KOR-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.860, p=0.001\n", - "KOR-Rail lines (total route-km)\n", - "Statistical=0.956, p=0.220\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.850, p=0.000\n", - "KOR-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.768, p=0.000\n", - "KOR-Refugee population by country or territory of asylum\n", - "Statistical=0.882, p=0.002\n", - "KOR-Refugee population by country or territory of origin\n", - "Statistical=0.969, p=0.474\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.955, p=0.197\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.955, p=0.197\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Research and development expenditure (% of GDP)\n", - "Statistical=0.924, p=0.027\n", - "KOR-Researchers in R&D (per million people)\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Reserves and related items (BoP, current US$)\n", - "Statistical=0.964, p=0.355\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.921, p=0.023\n", - "KOR-Rural land area (sq. km)\n", - "Statistical=0.910, p=0.011\n", - "KOR-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.774, p=0.000\n", - "KOR-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.930, p=0.039\n", - "KOR-Rural population\n", - "Statistical=0.961, p=0.293\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Rural population (% of total population)\n", - "Statistical=0.961, p=0.293\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Rural population growth (annual %)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.925, p=0.028\n", - "KOR-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.961, p=0.299\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Scientific and technical journal articles\n", - "Statistical=0.977, p=0.710\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.968, p=0.453\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Secure Internet servers\n", - "Statistical=0.973, p=0.589\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Secure Internet servers (per 1 million people)\n", - "Statistical=0.949, p=0.133\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Service exports (BoP, current US$)\n", - "Statistical=0.949, p=0.133\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Service imports (BoP, current US$)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Sex ratio at birth (male births per female births)\n", - "Statistical=0.918, p=0.018\n", - "KOR-Social contributions (% of revenue)\n", - "Statistical=0.930, p=0.040\n", - "KOR-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.978, p=0.736\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Start-up procedures to register a business (number)\n", - "Statistical=0.971, p=0.524\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.919, p=0.019\n", - "KOR-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.903, p=0.007\n", - "KOR-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.930, p=0.038\n", - "KOR-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.912, p=0.012\n", - "KOR-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.830, p=0.000\n", - "KOR-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.752, p=0.000\n", - "KOR-Surface area (sq. km)\n", - "Statistical=0.730, p=0.000\n", - "KOR-Tax payments (number)\n", - "Statistical=0.868, p=0.001\n", - "KOR-Tax revenue (% of GDP)\n", - "Statistical=0.964, p=0.360\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Taxes less subsidies on products (current US$)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Taxes on goods and services (% of revenue)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.921, p=0.022\n", - "KOR-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.971, p=0.523\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Time required to build a warehouse (days)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Time required to enforce a contract (days)\n", - "Statistical=0.932, p=0.044\n", - "KOR-Time required to get electricity (days)\n", - "Statistical=0.974, p=0.615\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Time required to register property (days)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Time required to start a business (days)\n", - "Statistical=0.742, p=0.000\n", - "KOR-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.634, p=0.000\n", - "KOR-Time to obtain an electrical connection (days)\n", - "Statistical=0.757, p=0.000\n", - "KOR-Time to prepare and pay taxes (hours)\n", - "Statistical=0.526, p=0.000\n", - "KOR-Time to resolve insolvency (years)\n", - "Statistical=0.684, p=0.000\n", - "KOR-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.725, p=0.000\n", - "KOR-Total fisheries production (metric tons)\n", - "Statistical=0.420, p=0.000\n", - "KOR-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.755, p=0.000\n", - "KOR-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.762, p=0.000\n", - "KOR-Total natural resources rents (% of GDP)\n", - "Statistical=0.853, p=0.000\n", - "KOR-Total reserves (includes gold, current US$)\n", - "Statistical=0.878, p=0.002\n", - "KOR-Total reserves in months of imports\n", - "Statistical=0.861, p=0.001\n", - "KOR-Total reserves minus gold (current US$)\n", - "Statistical=0.731, p=0.000\n", - "KOR-Total tax and contribution rate (% of profit)\n", - "Statistical=0.805, p=0.000\n", - "KOR-Trade (% of GDP)\n", - "Statistical=0.791, p=0.000\n", - "KOR-Trade in services (% of GDP)\n", - "Statistical=0.853, p=0.000\n", - "KOR-Transport services (% of commercial service exports)\n", - "Statistical=0.949, p=0.132\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Transport services (% of commercial service imports)\n", - "Statistical=0.866, p=0.001\n", - "KOR-Transport services (% of service exports, BoP)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Transport services (% of service imports, BoP)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Travel services (% of commercial service exports)\n", - "Statistical=0.877, p=0.002\n", - "KOR-Travel services (% of commercial service imports)\n", - "Statistical=0.964, p=0.355\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Travel services (% of service exports, BoP)\n", - "Statistical=0.908, p=0.010\n", - "KOR-Travel services (% of service imports, BoP)\n", - "Statistical=0.908, p=0.010\n", - "KOR-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.880, p=0.002\n", - "KOR-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.875, p=0.001\n", - "KOR-UHC service coverage index\n", - "Statistical=0.877, p=0.002\n", - "KOR-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.876, p=0.002\n", - "KOR-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.800, p=0.000\n", - "KOR-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.715, p=0.000\n", - "KOR-Urban land area (sq. km)\n", - "Statistical=0.807, p=0.000\n", - "KOR-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.806, p=0.000\n", - "KOR-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.702, p=0.000\n", - "KOR-Urban population\n", - "Statistical=0.840, p=0.000\n", - "KOR-Urban population (% of total population)\n", - "Statistical=0.732, p=0.000\n", - "KOR-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.787, p=0.000\n", - "KOR-GDP (current US$)+1\n", - "Statistical=0.787, p=0.000\n", - "KOR-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=0.796, p=0.000\n", - "KOR-GDP (current US$)+2\n", - "Statistical=0.853, p=0.000\n", - "KOR-GDP (current US$)+3\n", - "Statistical=0.853, p=0.000\n", - "KOR-GDP (current US$)+5\n", - "Statistical=0.955, p=0.201\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-GDP (current US$)+8\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-GDP (current US$)+13\n", - "Statistical=0.478, p=0.000\n", - "KOR-GDP (current US$)+21\n", - "Statistical=0.478, p=0.000\n", - "KOR-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.925, p=0.028\n", - "KOR-Deposit interest rate (%)\n", - "Statistical=0.913, p=0.014\n", - "KOR-Other taxes (% of revenue)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.925, p=0.029\n", - "KOR-Taxes on international trade (% of revenue)\n", - "Statistical=0.925, p=0.029\n", - "KOR-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Broad money (% of GDP)\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Broad money growth (annual %)\n", - "Statistical=0.975, p=0.657\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Broad money to total reserves ratio\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.975, p=0.649\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.950, p=0.147\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-External health expenditure (% of current health expenditure)\n", - "Statistical=0.873, p=0.001\n", - "KOR-External health expenditure per capita (current US$)\n", - "Statistical=0.533, p=0.000\n", - "KOR-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.861, p=0.001\n", - "KOR-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.857, p=0.001\n", - "KOR-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.968, p=0.447\n", - "Data is NORMAL ( H0 not denied )\n", - "KOR-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.912, p=0.013\n", - "KOR-People practicing open defecation (% of population)\n", - "Statistical=0.832, p=0.000\n", - "KOR-Taxes on exports (% of tax revenue)\n", - "Statistical=0.913, p=0.014\n", - "KOR-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.845, p=0.000\n", - "KOR-Country\n", - "Statistical=0.922, p=0.024\n", - "KOR-Year\n", - "Statistical=0.838, p=0.000\n", - "KOR-Continent\n", - "Statistical=0.836, p=0.000\n", - "MEX-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Adjusted net national income (current US$)\n", - "Statistical=0.849, p=0.000\n", - "MEX-Adjusted net national income per capita (current US$)\n", - "Statistical=0.836, p=0.000\n", - "MEX-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.820, p=0.000\n", - "MEX-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.871, p=0.001\n", - "MEX-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.857, p=0.001\n", - "MEX-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.929, p=0.038\n", - "MEX-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.631, p=0.000\n", - "MEX-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.647, p=0.000\n", - "MEX-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.618, p=0.000\n", - "MEX-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.636, p=0.000\n", - "MEX-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.635, p=0.000\n", - "MEX-Age dependency ratio (% of working-age population)\n", - "Statistical=0.647, p=0.000\n", - "MEX-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.631, p=0.000\n", - "MEX-Agricultural land (% of land area)\n", - "Statistical=0.644, p=0.000\n", - "MEX-Agricultural land (sq. km)\n", - "Statistical=0.616, p=0.000\n", - "MEX-Agricultural methane emissions (% of total)\n", - "Statistical=0.752, p=0.000\n", - "MEX-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.540, p=0.000\n", - "MEX-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.540, p=0.000\n", - "MEX-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.984, p=0.907\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.952, p=0.163\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.918, p=0.019\n", - "MEX-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.982, p=0.854\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Aquaculture production (metric tons)\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Arable land (% of land area)\n", - "Statistical=0.911, p=0.012\n", - "MEX-Arable land (hectares per person)\n", - "Statistical=0.967, p=0.429\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Arable land (hectares)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Armed forces personnel (% of total labor force)\n", - "Statistical=0.965, p=0.369\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.952, p=0.167\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.918, p=0.019\n", - "MEX-Average precipitation in depth (mm per year)\n", - "Statistical=0.881, p=0.002\n", - "MEX-Average time to clear exports through customs (days)\n", - "Statistical=0.933, p=0.046\n", - "MEX-Births attended by skilled health staff (% of total)\n", - "Statistical=0.827, p=0.000\n", - "MEX-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.916, p=0.017\n", - "MEX-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.874, p=0.001\n", - "MEX-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.870, p=0.001\n", - "MEX-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.879, p=0.002\n", - "MEX-CO2 emissions (kt)\n", - "Statistical=0.870, p=0.001\n", - "MEX-CO2 emissions (metric tons per capita)\n", - "Statistical=0.816, p=0.000\n", - "MEX-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.875, p=0.002\n", - "MEX-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.973, p=0.593\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.790, p=0.000\n", - "MEX-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.968, p=0.449\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.927, p=0.032\n", - "MEX-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.868, p=0.001\n", - "MEX-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.847, p=0.000\n", - "MEX-Capture fisheries production (metric tons)\n", - "Statistical=0.854, p=0.000\n", - "MEX-Cereal production (metric tons)\n", - "Statistical=0.925, p=0.029\n", - "MEX-Cereal yield (kg per hectare)\n", - "Statistical=0.945, p=0.103\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Changes in inventories (current US$)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.755, p=0.000\n", - "MEX-Children out of school (% of primary school age)\n", - "Statistical=0.759, p=0.000\n", - "MEX-Coal rents (% of GDP)\n", - "Statistical=0.759, p=0.000\n", - "MEX-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.795, p=0.000\n", - "MEX-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.787, p=0.000\n", - "MEX-Commercial service exports (current US$)\n", - "Statistical=0.835, p=0.000\n", - "MEX-Commercial service imports (current US$)\n", - "Statistical=0.909, p=0.011\n", - "MEX-Completeness of birth registration (%)\n", - "Statistical=0.812, p=0.000\n", - "MEX-Consumer price index (2010 = 100)\n", - "Statistical=0.919, p=0.019\n", - "MEX-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.817, p=0.000\n", - "MEX-Crop production index (2014-2016 = 100)\n", - "Statistical=0.875, p=0.002\n", - "MEX-Current account balance (% of GDP)\n", - "Statistical=0.782, p=0.000\n", - "MEX-Current account balance (BoP, current US$)\n", - "Statistical=0.980, p=0.789\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Current health expenditure (% of GDP)\n", - "Statistical=0.929, p=0.037\n", - "MEX-Current health expenditure per capita (current US$)\n", - "Statistical=0.929, p=0.037\n", - "MEX-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.922, p=0.024\n", - "MEX-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.927, p=0.032\n", - "MEX-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.900, p=0.006\n", - "MEX-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.917, p=0.017\n", - "MEX-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.856, p=0.001\n", - "MEX-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.900, p=0.006\n", - "MEX-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.930, p=0.039\n", - "MEX-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.822, p=0.000\n", - "MEX-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.798, p=0.000\n", - "MEX-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.756, p=0.000\n", - "MEX-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.901, p=0.007\n", - "MEX-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.901, p=0.007\n", - "MEX-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.894, p=0.004\n", - "MEX-Electric power consumption (kWh per capita)\n", - "Statistical=0.954, p=0.185\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Electricity production from coal sources (% of total)\n", - "Statistical=0.954, p=0.185\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.950, p=0.141\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.783, p=0.000\n", - "MEX-Electricity production from nuclear sources (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Electricity production from oil sources (% of total)\n", - "Statistical=0.878, p=0.002\n", - "MEX-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.803, p=0.000\n", - "MEX-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.678, p=0.000\n", - "MEX-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.949, p=0.131\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Export unit value index (2000 = 100)\n", - "Statistical=0.851, p=0.000\n", - "MEX-Export value index (2000 = 100)\n", - "Statistical=0.803, p=0.000\n", - "MEX-Export volume index (2000 = 100)\n", - "Statistical=0.867, p=0.001\n", - "MEX-Exports of goods and services (% of GDP)\n", - "Statistical=0.743, p=0.000\n", - "MEX-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.881, p=0.002\n", - "MEX-Exports of goods and services (current US$)\n", - "Statistical=0.883, p=0.002\n", - "MEX-External balance on goods and services (% of GDP)\n", - "Statistical=0.944, p=0.098\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-External balance on goods and services (current US$)\n", - "Statistical=0.875, p=0.002\n", - "MEX-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.896, p=0.005\n", - "MEX-Final consumption expenditure (% of GDP)\n", - "Statistical=0.896, p=0.005\n", - "MEX-Final consumption expenditure (current US$)\n", - "Statistical=0.894, p=0.004\n", - "MEX-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.849, p=0.000\n", - "MEX-Firms offering formal training (% of firms)\n", - "Statistical=0.962, p=0.306\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.912, p=0.012\n", - "MEX-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.888, p=0.003\n", - "MEX-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.883, p=0.002\n", - "MEX-Fixed broadband subscriptions\n", - "Statistical=0.922, p=0.024\n", - "MEX-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.955, p=0.202\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Fixed telephone subscriptions\n", - "Statistical=0.872, p=0.001\n", - "MEX-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.919, p=0.020\n", - "MEX-Food exports (% of merchandise exports)\n", - "Statistical=0.849, p=0.000\n", - "MEX-Food imports (% of merchandise imports)\n", - "Statistical=0.933, p=0.047\n", - "MEX-Food production index (2014-2016 = 100)\n", - "Statistical=0.884, p=0.002\n", - "MEX-Forest area (% of land area)\n", - "Statistical=0.896, p=0.005\n", - "MEX-Forest area (sq. km)\n", - "Statistical=0.919, p=0.019\n", - "MEX-Forest rents (% of GDP)\n", - "Statistical=0.957, p=0.225\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.831, p=0.000\n", - "MEX-Fuel exports (% of merchandise exports)\n", - "Statistical=0.762, p=0.000\n", - "MEX-Fuel imports (% of merchandise imports)\n", - "Statistical=0.827, p=0.000\n", - "MEX-GDP (current US$)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-GDP deflator (base year varies by country)\n", - "Statistical=0.918, p=0.018\n", - "MEX-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.967, p=0.413\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-GDP growth (annual %)\n", - "Statistical=0.977, p=0.710\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-GDP per capita (current US$)\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-GDP per capita growth (annual %)\n", - "Statistical=0.817, p=0.000\n", - "MEX-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.878, p=0.002\n", - "MEX-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.768, p=0.000\n", - "MEX-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.540, p=0.000\n", - "MEX-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.540, p=0.000\n", - "MEX-GNI (current US$)\n", - "Statistical=0.770, p=0.000\n", - "MEX-GNI growth (annual %)\n", - "Statistical=0.540, p=0.000\n", - "MEX-GNI per capita growth (annual %)\n", - "Statistical=0.540, p=0.000\n", - "MEX-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.974, p=0.624\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-General government final consumption expenditure (current US$)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Gini index\n", - "Statistical=0.930, p=0.039\n", - "MEX-Goods exports (BoP, current US$)\n", - "Statistical=0.915, p=0.016\n", - "MEX-Goods imports (BoP, current US$)\n", - "Statistical=0.856, p=0.001\n", - "MEX-Grants and other revenue (% of revenue)\n", - "Statistical=0.768, p=0.000\n", - "MEX-Gross capital formation (% of GDP)\n", - "Statistical=0.955, p=0.194\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Gross capital formation (current US$)\n", - "Statistical=0.932, p=0.045\n", - "MEX-Gross domestic savings (% of GDP)\n", - "Statistical=0.734, p=0.000\n", - "MEX-Gross domestic savings (current US$)\n", - "Statistical=0.961, p=0.299\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.668, p=0.000\n", - "MEX-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Gross national expenditure (current US$)\n", - "Statistical=0.786, p=0.000\n", - "MEX-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.747, p=0.000\n", - "MEX-Gross savings (% of GDP)\n", - "Statistical=0.951, p=0.156\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Gross savings (current US$)\n", - "Statistical=0.959, p=0.250\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.808, p=0.000\n", - "MEX-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.866, p=0.001\n", - "MEX-High-technology exports (% of manufactured exports)\n", - "Statistical=0.821, p=0.000\n", - "MEX-High-technology exports (current US$)\n", - "Statistical=0.889, p=0.003\n", - "MEX-Hospital beds (per 1,000 people)\n", - "Statistical=0.855, p=0.001\n", - "MEX-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.880, p=0.002\n", - "MEX-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.517, p=0.000\n", - "MEX-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.517, p=0.000\n", - "MEX-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.517, p=0.000\n", - "MEX-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.928, p=0.035\n", - "MEX-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.900, p=0.006\n", - "MEX-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.869, p=0.001\n", - "MEX-ICT goods exports (% of total goods exports)\n", - "Statistical=0.893, p=0.004\n", - "MEX-ICT goods imports (% total goods imports)\n", - "Statistical=0.880, p=0.002\n", - "MEX-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.861, p=0.001\n", - "MEX-ICT service exports (BoP, current US$)\n", - "Statistical=0.845, p=0.000\n", - "MEX-Import unit value index (2000 = 100)\n", - "Statistical=0.839, p=0.000\n", - "MEX-Import value index (2000 = 100)\n", - "Statistical=0.846, p=0.000\n", - "MEX-Import volume index (2000 = 100)\n", - "Statistical=0.921, p=0.022\n", - "MEX-Imports of goods and services (% of GDP)\n", - "Statistical=0.927, p=0.033\n", - "MEX-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.913, p=0.013\n", - "MEX-Imports of goods and services (current US$)\n", - "Statistical=0.789, p=0.000\n", - "MEX-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Income share held by fourth 20%\n", - "Statistical=0.860, p=0.001\n", - "MEX-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Income share held by highest 20%\n", - "Statistical=0.964, p=0.342\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Income share held by lowest 10%\n", - "Statistical=0.903, p=0.007\n", - "MEX-Income share held by lowest 20%\n", - "Statistical=0.949, p=0.135\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Income share held by second 20%\n", - "Statistical=0.861, p=0.001\n", - "MEX-Income share held by third 20%\n", - "Statistical=0.904, p=0.008\n", - "MEX-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.895, p=0.005\n", - "MEX-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.863, p=0.001\n", - "MEX-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.796, p=0.000\n", - "MEX-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.904, p=0.008\n", - "MEX-Individuals using the Internet (% of population)\n", - "Statistical=0.863, p=0.001\n", - "MEX-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.815, p=0.000\n", - "MEX-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.410, p=0.000\n", - "MEX-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.870, p=0.001\n", - "MEX-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.813, p=0.000\n", - "MEX-Intentional homicides (per 100,000 people)\n", - "Statistical=0.869, p=0.001\n", - "MEX-Interest payments (% of revenue)\n", - "Statistical=0.842, p=0.000\n", - "MEX-International migrant stock (% of population)\n", - "Statistical=0.839, p=0.000\n", - "MEX-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.840, p=0.000\n", - "MEX-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.787, p=0.000\n", - "MEX-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.798, p=0.000\n", - "MEX-Land area (sq. km)\n", - "Statistical=0.807, p=0.000\n", - "MEX-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.816, p=0.000\n", - "MEX-Land under cereal production (hectares)\n", - "Statistical=0.809, p=0.000\n", - "MEX-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.861, p=0.001\n", - "MEX-Lifetime risk of maternal death (%)\n", - "Statistical=0.970, p=0.493\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.902, p=0.007\n", - "MEX-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.876, p=0.002\n", - "MEX-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.823, p=0.000\n", - "MEX-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=0.968, p=0.439\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.857, p=0.001\n", - "MEX-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.859, p=0.001\n", - "MEX-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.903, p=0.007\n", - "MEX-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.856, p=0.001\n", - "MEX-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Low-birthweight babies (% of births)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Lower secondary school starting age (years)\n", - "Statistical=0.849, p=0.000\n", - "MEX-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.812, p=0.000\n", - "MEX-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.855, p=0.001\n", - "MEX-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.961, p=0.296\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Marine protected areas (% of territorial waters)\n", - "Statistical=0.882, p=0.002\n", - "MEX-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.905, p=0.008\n", - "MEX-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.864, p=0.001\n", - "MEX-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.836, p=0.000\n", - "MEX-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.882, p=0.002\n", - "MEX-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.926, p=0.031\n", - "MEX-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Merchandise exports (current US$)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.899, p=0.006\n", - "MEX-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.959, p=0.260\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.920, p=0.020\n", - "MEX-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.952, p=0.167\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.955, p=0.194\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.928, p=0.036\n", - "MEX-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.925, p=0.028\n", - "MEX-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.826, p=0.000\n", - "MEX-Merchandise imports (current US$)\n", - "Statistical=0.879, p=0.002\n", - "MEX-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.825, p=0.000\n", - "MEX-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.929, p=0.036\n", - "MEX-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.949, p=0.131\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.888, p=0.003\n", - "MEX-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.919, p=0.020\n", - "MEX-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.952, p=0.167\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.956, p=0.211\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.918, p=0.018\n", - "MEX-Merchandise trade (% of GDP)\n", - "Statistical=0.969, p=0.469\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Methane emissions (% change from 1990)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.880, p=0.002\n", - "MEX-Military expenditure (% of GDP)\n", - "Statistical=0.922, p=0.024\n", - "MEX-Military expenditure (% of general government expenditure)\n", - "Statistical=0.919, p=0.019\n", - "MEX-Military expenditure (current USD)\n", - "Statistical=0.954, p=0.185\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Mineral rents (% of GDP)\n", - "Statistical=0.542, p=0.000\n", - "MEX-Mobile cellular subscriptions\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.968, p=0.443\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Natural gas rents (% of GDP)\n", - "Statistical=0.926, p=0.030\n", - "MEX-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.858, p=0.001\n", - "MEX-Net capital account (BoP, current US$)\n", - "Statistical=0.921, p=0.022\n", - "MEX-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.978, p=0.747\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Net financial account (BoP, current US$)\n", - "Statistical=0.975, p=0.641\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Net migration\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Net primary income (BoP, current US$)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.932, p=0.045\n", - "MEX-Net secondary income (BoP, current US$)\n", - "Statistical=0.927, p=0.032\n", - "MEX-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.678, p=0.000\n", - "MEX-Net trade in goods (BoP, current US$)\n", - "Statistical=0.678, p=0.000\n", - "MEX-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.678, p=0.000\n", - "MEX-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.678, p=0.000\n", - "MEX-New businesses registered (number)\n", - "Statistical=0.678, p=0.000\n", - "MEX-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.810, p=0.000\n", - "MEX-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.809, p=0.000\n", - "MEX-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.893, p=0.004\n", - "MEX-Number of deaths ages 10-14 years\n", - "Statistical=0.865, p=0.001\n", - "MEX-Number of deaths ages 15-19 years\n", - "Statistical=0.955, p=0.193\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Number of deaths ages 20-24 years\n", - "Statistical=0.922, p=0.023\n", - "MEX-Number of deaths ages 5-9 years\n", - "Statistical=0.947, p=0.116\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Number of infant deaths\n", - "Statistical=0.933, p=0.046\n", - "MEX-Number of maternal deaths\n", - "Statistical=0.964, p=0.346\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Number of neonatal deaths\n", - "Statistical=0.973, p=0.582\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Number of under-five deaths\n", - "Statistical=0.967, p=0.414\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.883, p=0.002\n", - "MEX-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.845, p=0.000\n", - "MEX-Oil rents (% of GDP)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.917, p=0.017\n", - "MEX-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.883, p=0.002\n", - "MEX-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.898, p=0.006\n", - "MEX-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.953, p=0.170\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.953, p=0.170\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.933, p=0.046\n", - "MEX-People using at least basic drinking water services (% of population)\n", - "Statistical=0.926, p=0.030\n", - "MEX-People using at least basic sanitation services (% of population)\n", - "Statistical=0.953, p=0.174\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-People using safely managed sanitation services (% of population)\n", - "Statistical=0.950, p=0.145\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Permanent cropland (% of land area)\n", - "Statistical=0.966, p=0.395\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Physicians (per 1,000 people)\n", - "Statistical=0.958, p=0.237\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Population ages 0-14 (% of total population)\n", - "Statistical=0.958, p=0.237\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Population ages 15-64 (% of total population)\n", - "Statistical=0.946, p=0.110\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Population ages 65 and above (% of total population)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Population density (people per sq. km of land area)\n", - "Statistical=0.973, p=0.598\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Population growth (annual %)\n", - "Statistical=0.958, p=0.237\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Population in largest city\n", - "Statistical=0.909, p=0.010\n", - "MEX-Population in the largest city (% of urban population)\n", - "Statistical=0.971, p=0.518\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.873, p=0.001\n", - "MEX-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.924, p=0.027\n", - "MEX-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.953, p=0.170\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.906, p=0.009\n", - "MEX-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.930, p=0.040\n", - "MEX-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.952, p=0.161\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.952, p=0.161\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.934, p=0.050\n", - "MEX-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.924, p=0.027\n", - "MEX-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.967, p=0.423\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.952, p=0.164\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.952, p=0.164\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Prevalence of undernourishment (% of population)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.964, p=0.349\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Primary income payments (BoP, current US$)\n", - "Statistical=0.913, p=0.014\n", - "MEX-Primary income receipts (BoP, current US$)\n", - "Statistical=0.952, p=0.164\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Primary school starting age (years)\n", - "Statistical=0.910, p=0.011\n", - "MEX-Private credit bureau coverage (% of adults)\n", - "Statistical=0.906, p=0.009\n", - "MEX-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.952, p=0.161\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.907, p=0.010\n", - "MEX-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.931, p=0.042\n", - "MEX-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.944, p=0.097\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Procedures to build a warehouse (number)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Procedures to register property (number)\n", - "Statistical=0.931, p=0.042\n", - "MEX-Profit tax (% of commercial profits)\n", - "Statistical=0.931, p=0.042\n", - "MEX-Progression to secondary school (%)\n", - "Statistical=0.916, p=0.016\n", - "MEX-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.914, p=0.015\n", - "MEX-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.936, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.913, p=0.014\n", - "MEX-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.916, p=0.016\n", - "MEX-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.925, p=0.029\n", - "MEX-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.959, p=0.255\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Public credit registry coverage (% of adults)\n", - "Statistical=0.760, p=0.000\n", - "MEX-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.930, p=0.039\n", - "MEX-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.921, p=0.022\n", - "MEX-Rail lines (total route-km)\n", - "Statistical=0.911, p=0.012\n", - "MEX-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.846, p=0.000\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "MEX-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.854, p=0.001\n", - "MEX-Refugee population by country or territory of asylum\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Refugee population by country or territory of origin\n", - "Statistical=0.976, p=0.664\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.946, p=0.109\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.946, p=0.109\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.933, p=0.048\n", - "MEX-Research and development expenditure (% of GDP)\n", - "Statistical=0.922, p=0.023\n", - "MEX-Researchers in R&D (per million people)\n", - "Statistical=0.949, p=0.132\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Reserves and related items (BoP, current US$)\n", - "Statistical=0.978, p=0.747\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.929, p=0.037\n", - "MEX-Rural land area (sq. km)\n", - "Statistical=0.928, p=0.034\n", - "MEX-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.966, p=0.405\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.988, p=0.969\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Rural population\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Rural population (% of total population)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Rural population growth (annual %)\n", - "Statistical=0.931, p=0.042\n", - "MEX-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.917, p=0.017\n", - "MEX-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.921, p=0.023\n", - "MEX-Scientific and technical journal articles\n", - "Statistical=0.902, p=0.007\n", - "MEX-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.881, p=0.002\n", - "MEX-Secure Internet servers\n", - "Statistical=0.960, p=0.280\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Secure Internet servers (per 1 million people)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Service exports (BoP, current US$)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Service imports (BoP, current US$)\n", - "Statistical=0.932, p=0.044\n", - "MEX-Sex ratio at birth (male births per female births)\n", - "Statistical=0.928, p=0.034\n", - "MEX-Social contributions (% of revenue)\n", - "Statistical=0.954, p=0.183\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.875, p=0.002\n", - "MEX-Start-up procedures to register a business (number)\n", - "Statistical=0.888, p=0.003\n", - "MEX-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.928, p=0.035\n", - "MEX-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.912, p=0.013\n", - "MEX-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.952, p=0.160\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.952, p=0.160\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.926, p=0.031\n", - "MEX-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.789, p=0.000\n", - "MEX-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.778, p=0.000\n", - "MEX-Surface area (sq. km)\n", - "Statistical=0.734, p=0.000\n", - "MEX-Tax payments (number)\n", - "Statistical=0.868, p=0.001\n", - "MEX-Tax revenue (% of GDP)\n", - "Statistical=0.964, p=0.361\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Taxes less subsidies on products (current US$)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Taxes on goods and services (% of revenue)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.929, p=0.037\n", - "MEX-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.906, p=0.009\n", - "MEX-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.978, p=0.732\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Time required to build a warehouse (days)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Time required to enforce a contract (days)\n", - "Statistical=0.919, p=0.019\n", - "MEX-Time required to get electricity (days)\n", - "Statistical=0.965, p=0.365\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Time required to register property (days)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Time required to start a business (days)\n", - "Statistical=0.646, p=0.000\n", - "MEX-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.639, p=0.000\n", - "MEX-Time to obtain an electrical connection (days)\n", - "Statistical=0.642, p=0.000\n", - "MEX-Time to prepare and pay taxes (hours)\n", - "Statistical=0.637, p=0.000\n", - "MEX-Time to resolve insolvency (years)\n", - "Statistical=0.643, p=0.000\n", - "MEX-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.386, p=0.000\n", - "MEX-Total fisheries production (metric tons)\n", - "Statistical=0.368, p=0.000\n", - "MEX-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.393, p=0.000\n", - "MEX-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.404, p=0.000\n", - "MEX-Total natural resources rents (% of GDP)\n", - "Statistical=0.853, p=0.000\n", - "MEX-Total reserves (includes gold, current US$)\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Total reserves in months of imports\n", - "Statistical=0.871, p=0.001\n", - "MEX-Total reserves minus gold (current US$)\n", - "Statistical=0.866, p=0.001\n", - "MEX-Total tax and contribution rate (% of profit)\n", - "Statistical=0.861, p=0.001\n", - "MEX-Trade (% of GDP)\n", - "Statistical=0.667, p=0.000\n", - "MEX-Trade in services (% of GDP)\n", - "Statistical=0.844, p=0.000\n", - "MEX-Transport services (% of commercial service exports)\n", - "Statistical=0.837, p=0.000\n", - "MEX-Transport services (% of commercial service imports)\n", - "Statistical=0.922, p=0.024\n", - "MEX-Transport services (% of service exports, BoP)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Transport services (% of service imports, BoP)\n", - "Statistical=0.970, p=0.512\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Travel services (% of commercial service exports)\n", - "Statistical=0.917, p=0.017\n", - "MEX-Travel services (% of commercial service imports)\n", - "Statistical=0.922, p=0.023\n", - "MEX-Travel services (% of service exports, BoP)\n", - "Statistical=0.951, p=0.155\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Travel services (% of service imports, BoP)\n", - "Statistical=0.951, p=0.155\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.892, p=0.004\n", - "MEX-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.923, p=0.025\n", - "MEX-UHC service coverage index\n", - "Statistical=0.916, p=0.017\n", - "MEX-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.810, p=0.000\n", - "MEX-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.965, p=0.385\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.933, p=0.046\n", - "MEX-Urban land area (sq. km)\n", - "Statistical=0.927, p=0.031\n", - "MEX-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.904, p=0.008\n", - "MEX-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.959, p=0.262\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Urban population\n", - "Statistical=0.918, p=0.019\n", - "MEX-Urban population (% of total population)\n", - "Statistical=0.920, p=0.021\n", - "MEX-Urban population growth (annual %)\n", - "Statistical=0.700, p=0.000\n", - "MEX-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.700, p=0.000\n", - "MEX-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.672, p=0.000\n", - "MEX-GDP (current US$)+1\n", - "Statistical=0.672, p=0.000\n", - "MEX-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-GDP (current US$)+2\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-GDP (current US$)+3\n", - "Statistical=0.912, p=0.013\n", - "MEX-GDP (current US$)+5\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-GDP (current US$)+8\n", - "Statistical=0.962, p=0.303\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-GDP (current US$)+13\n", - "Statistical=0.901, p=0.007\n", - "MEX-GDP (current US$)+21\n", - "Statistical=0.901, p=0.007\n", - "MEX-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Deposit interest rate (%)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Other taxes (% of revenue)\n", - "Statistical=0.919, p=0.019\n", - "MEX-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.814, p=0.000\n", - "MEX-Taxes on international trade (% of revenue)\n", - "Statistical=0.839, p=0.000\n", - "MEX-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.788, p=0.000\n", - "MEX-Broad money (% of GDP)\n", - "Statistical=0.963, p=0.325\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Broad money growth (annual %)\n", - "Statistical=0.964, p=0.352\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Broad money to total reserves ratio\n", - "Statistical=0.963, p=0.327\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.964, p=0.354\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.928, p=0.033\n", - "MEX-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.826, p=0.000\n", - "MEX-External health expenditure (% of current health expenditure)\n", - "Statistical=0.894, p=0.004\n", - "MEX-External health expenditure per capita (current US$)\n", - "Statistical=0.575, p=0.000\n", - "MEX-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.890, p=0.003\n", - "MEX-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.867, p=0.001\n", - "MEX-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.916, p=0.016\n", - "MEX-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.905, p=0.009\n", - "MEX-People practicing open defecation (% of population)\n", - "Statistical=0.880, p=0.002\n", - "MEX-Taxes on exports (% of tax revenue)\n", - "Statistical=0.905, p=0.008\n", - "MEX-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.957, p=0.226\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Country\n", - "Statistical=0.902, p=0.007\n", - "MEX-Year\n", - "Statistical=0.919, p=0.019\n", - "MEX-Continent\n", - "Statistical=0.959, p=0.255\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Adjusted net national income (current US$)\n", - "Statistical=0.825, p=0.000\n", - "BRA-Adjusted net national income per capita (current US$)\n", - "Statistical=0.827, p=0.000\n", - "BRA-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.792, p=0.000\n", - "BRA-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.867, p=0.001\n", - "BRA-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.899, p=0.006\n", - "BRA-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.835, p=0.000\n", - "BRA-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.614, p=0.000\n", - "BRA-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.616, p=0.000\n", - "BRA-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.611, p=0.000\n", - "BRA-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.620, p=0.000\n", - "BRA-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.608, p=0.000\n", - "BRA-Age dependency ratio (% of working-age population)\n", - "Statistical=0.617, p=0.000\n", - "BRA-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.621, p=0.000\n", - "BRA-Agricultural land (% of land area)\n", - "Statistical=0.608, p=0.000\n", - "BRA-Agricultural land (sq. km)\n", - "Statistical=0.651, p=0.000\n", - "BRA-Agricultural methane emissions (% of total)\n", - "Statistical=0.888, p=0.003\n", - "BRA-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.755, p=0.000\n", - "BRA-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.831, p=0.000\n", - "BRA-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.971, p=0.532\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.891, p=0.004\n", - "BRA-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.881, p=0.002\n", - "BRA-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.963, p=0.329\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Aquaculture production (metric tons)\n", - "Statistical=0.927, p=0.033\n", - "BRA-Arable land (% of land area)\n", - "Statistical=0.898, p=0.005\n", - "BRA-Arable land (hectares per person)\n", - "Statistical=0.962, p=0.314\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Arable land (hectares)\n", - "Statistical=0.888, p=0.003\n", - "BRA-Armed forces personnel (% of total labor force)\n", - "Statistical=0.956, p=0.210\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.887, p=0.003\n", - "BRA-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.924, p=0.027\n", - "BRA-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.897, p=0.005\n", - "BRA-Average precipitation in depth (mm per year)\n", - "Statistical=0.972, p=0.552\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Average time to clear exports through customs (days)\n", - "Statistical=0.879, p=0.002\n", - "BRA-Births attended by skilled health staff (% of total)\n", - "Statistical=0.912, p=0.012\n", - "BRA-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.830, p=0.000\n", - "BRA-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.915, p=0.016\n", - "BRA-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.874, p=0.001\n", - "BRA-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.908, p=0.010\n", - "BRA-CO2 emissions (kt)\n", - "Statistical=0.967, p=0.421\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-CO2 emissions (metric tons per capita)\n", - "Statistical=0.841, p=0.000\n", - "BRA-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.930, p=0.039\n", - "BRA-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.865, p=0.001\n", - "BRA-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.854, p=0.000\n", - "BRA-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.982, p=0.863\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.866, p=0.001\n", - "BRA-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.724, p=0.000\n", - "BRA-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.717, p=0.000\n", - "BRA-Capture fisheries production (metric tons)\n", - "Statistical=0.832, p=0.000\n", - "BRA-Cereal production (metric tons)\n", - "Statistical=0.892, p=0.004\n", - "BRA-Cereal yield (kg per hectare)\n", - "Statistical=0.911, p=0.012\n", - "BRA-Changes in inventories (current US$)\n", - "Statistical=0.931, p=0.042\n", - "BRA-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.713, p=0.000\n", - "BRA-Children out of school (% of primary school age)\n", - "Statistical=0.867, p=0.001\n", - "BRA-Coal rents (% of GDP)\n", - "Statistical=0.867, p=0.001\n", - "BRA-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.737, p=0.000\n", - "BRA-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.798, p=0.000\n", - "BRA-Commercial service exports (current US$)\n", - "Statistical=0.751, p=0.000\n", - "BRA-Commercial service imports (current US$)\n", - "Statistical=0.815, p=0.000\n", - "BRA-Completeness of birth registration (%)\n", - "Statistical=0.806, p=0.000\n", - "BRA-Consumer price index (2010 = 100)\n", - "Statistical=0.894, p=0.004\n", - "BRA-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.908, p=0.010\n", - "BRA-Crop production index (2014-2016 = 100)\n", - "Statistical=0.859, p=0.001\n", - "BRA-Current account balance (% of GDP)\n", - "Statistical=0.827, p=0.000\n", - "BRA-Current account balance (BoP, current US$)\n", - "Statistical=0.962, p=0.314\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Current health expenditure (% of GDP)\n", - "Statistical=0.928, p=0.035\n", - "BRA-Current health expenditure per capita (current US$)\n", - "Statistical=0.928, p=0.035\n", - "BRA-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.904, p=0.008\n", - "BRA-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.892, p=0.004\n", - "BRA-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.861, p=0.001\n", - "BRA-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.966, p=0.393\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.845, p=0.000\n", - "BRA-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.919, p=0.019\n", - "BRA-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.867, p=0.001\n", - "BRA-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.833, p=0.000\n", - "BRA-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.842, p=0.000\n", - "BRA-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.881, p=0.002\n", - "BRA-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.916, p=0.016\n", - "BRA-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.916, p=0.016\n", - "BRA-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.896, p=0.005\n", - "BRA-Electric power consumption (kWh per capita)\n", - "Statistical=0.917, p=0.017\n", - "BRA-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.887, p=0.003\n", - "BRA-Electricity production from coal sources (% of total)\n", - "Statistical=0.917, p=0.017\n", - "BRA-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.812, p=0.000\n", - "BRA-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.872, p=0.001\n", - "BRA-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.838, p=0.000\n", - "BRA-Electricity production from oil sources (% of total)\n", - "Statistical=0.952, p=0.167\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.870, p=0.001\n", - "BRA-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.904, p=0.008\n", - "BRA-Export unit value index (2000 = 100)\n", - "Statistical=0.815, p=0.000\n", - "BRA-Export value index (2000 = 100)\n", - "Statistical=0.791, p=0.000\n", - "BRA-Export volume index (2000 = 100)\n", - "Statistical=0.838, p=0.000\n", - "BRA-Exports of goods and services (% of GDP)\n", - "Statistical=0.821, p=0.000\n", - "BRA-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.958, p=0.237\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Exports of goods and services (current US$)\n", - "Statistical=0.852, p=0.000\n", - "BRA-External balance on goods and services (% of GDP)\n", - "Statistical=0.814, p=0.000\n", - "BRA-External balance on goods and services (current US$)\n", - "Statistical=0.877, p=0.002\n", - "BRA-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.962, p=0.319\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Final consumption expenditure (% of GDP)\n", - "Statistical=0.964, p=0.346\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Final consumption expenditure (current US$)\n", - "Statistical=0.880, p=0.002\n", - "BRA-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.953, p=0.175\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Firms offering formal training (% of firms)\n", - "Statistical=0.962, p=0.318\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.864, p=0.001\n", - "BRA-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.848, p=0.000\n", - "BRA-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.893, p=0.004\n", - "BRA-Fixed broadband subscriptions\n", - "Statistical=0.860, p=0.001\n", - "BRA-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Fixed telephone subscriptions\n", - "Statistical=0.882, p=0.002\n", - "BRA-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.898, p=0.005\n", - "BRA-Food exports (% of merchandise exports)\n", - "Statistical=0.889, p=0.003\n", - "BRA-Food imports (% of merchandise imports)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Food production index (2014-2016 = 100)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Forest area (% of land area)\n", - "Statistical=0.946, p=0.112\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Forest area (sq. km)\n", - "Statistical=0.890, p=0.004\n", - "BRA-Forest rents (% of GDP)\n", - "Statistical=0.944, p=0.098\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.716, p=0.000\n", - "BRA-Fuel exports (% of merchandise exports)\n", - "Statistical=0.732, p=0.000\n", - "BRA-Fuel imports (% of merchandise imports)\n", - "Statistical=0.573, p=0.000\n", - "BRA-GDP (current US$)\n", - "Statistical=0.916, p=0.016\n", - "BRA-GDP deflator (base year varies by country)\n", - "Statistical=0.931, p=0.041\n", - "BRA-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.918, p=0.018\n", - "BRA-GDP growth (annual %)\n", - "Statistical=0.955, p=0.197\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-GDP per capita (current US$)\n", - "Statistical=0.887, p=0.003\n", - "BRA-GDP per capita growth (annual %)\n", - "Statistical=0.868, p=0.001\n", - "BRA-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.929, p=0.037\n", - "BRA-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.902, p=0.007\n", - "BRA-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.603, p=0.000\n", - "BRA-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.718, p=0.000\n", - "BRA-GNI (current US$)\n", - "Statistical=0.892, p=0.004\n", - "BRA-GNI growth (annual %)\n", - "Statistical=0.605, p=0.000\n", - "BRA-GNI per capita growth (annual %)\n", - "Statistical=0.736, p=0.000\n", - "BRA-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.965, p=0.385\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-General government final consumption expenditure (current US$)\n", - "Statistical=0.954, p=0.188\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Gini index\n", - "Statistical=0.919, p=0.019\n", - "BRA-Goods exports (BoP, current US$)\n", - "Statistical=0.932, p=0.045\n", - "BRA-Goods imports (BoP, current US$)\n", - "Statistical=0.928, p=0.035\n", - "BRA-Grants and other revenue (% of revenue)\n", - "Statistical=0.771, p=0.000\n", - "BRA-Gross capital formation (% of GDP)\n", - "Statistical=0.846, p=0.000\n", - "BRA-Gross capital formation (current US$)\n", - "Statistical=0.856, p=0.001\n", - "BRA-Gross domestic savings (% of GDP)\n", - "Statistical=0.889, p=0.003\n", - "BRA-Gross domestic savings (current US$)\n", - "Statistical=0.964, p=0.347\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.732, p=0.000\n", - "BRA-Gross fixed capital formation (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Gross national expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Gross national expenditure (current US$)\n", - "Statistical=0.565, p=0.000\n", - "BRA-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.910, p=0.012\n", - "BRA-Gross savings (% of GDP)\n", - "Statistical=0.960, p=0.272\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Gross savings (current US$)\n", - "Statistical=0.961, p=0.299\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.818, p=0.000\n", - "BRA-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.779, p=0.000\n", - "BRA-High-technology exports (% of manufactured exports)\n", - "Statistical=0.786, p=0.000\n", - "BRA-High-technology exports (current US$)\n", - "Statistical=0.882, p=0.002\n", - "BRA-Hospital beds (per 1,000 people)\n", - "Statistical=0.894, p=0.004\n", - "BRA-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.888, p=0.003\n", - "BRA-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.571, p=0.000\n", - "BRA-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.571, p=0.000\n", - "BRA-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.571, p=0.000\n", - "BRA-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=0.391, p=0.000\n", - "BRA-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.901, p=0.006\n", - "BRA-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.918, p=0.019\n", - "BRA-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.886, p=0.003\n", - "BRA-ICT goods exports (% of total goods exports)\n", - "Statistical=0.953, p=0.171\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-ICT goods imports (% total goods imports)\n", - "Statistical=0.960, p=0.278\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.831, p=0.000\n", - "BRA-ICT service exports (BoP, current US$)\n", - "Statistical=0.816, p=0.000\n", - "BRA-Import unit value index (2000 = 100)\n", - "Statistical=0.838, p=0.000\n", - "BRA-Import value index (2000 = 100)\n", - "Statistical=0.686, p=0.000\n", - "BRA-Import volume index (2000 = 100)\n", - "Statistical=0.672, p=0.000\n", - "BRA-Imports of goods and services (% of GDP)\n", - "Statistical=0.960, p=0.269\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.908, p=0.010\n", - "BRA-Imports of goods and services (current US$)\n", - "Statistical=0.902, p=0.007\n", - "BRA-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=0.391, p=0.000\n", - "BRA-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "BRA-Income share held by highest 10%\n", - "Statistical=0.650, p=0.000\n", - "BRA-Income share held by highest 20%\n", - "Statistical=0.853, p=0.000\n", - "BRA-Income share held by lowest 10%\n", - "Statistical=0.929, p=0.036\n", - "BRA-Income share held by lowest 20%\n", - "Statistical=0.928, p=0.034\n", - "BRA-Income share held by second 20%\n", - "Statistical=0.796, p=0.000\n", - "BRA-Income share held by third 20%\n", - "Statistical=0.895, p=0.005\n", - "BRA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.892, p=0.004\n", - "BRA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.822, p=0.000\n", - "BRA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.821, p=0.000\n", - "BRA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.917, p=0.017\n", - "BRA-Individuals using the Internet (% of population)\n", - "Statistical=0.809, p=0.000\n", - "BRA-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.836, p=0.000\n", - "BRA-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.424, p=0.000\n", - "BRA-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.778, p=0.000\n", - "BRA-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.776, p=0.000\n", - "BRA-Intentional homicides (per 100,000 people)\n", - "Statistical=0.777, p=0.000\n", - "BRA-Interest payments (% of revenue)\n", - "Statistical=0.800, p=0.000\n", - "BRA-International migrant stock (% of population)\n", - "Statistical=0.802, p=0.000\n", - "BRA-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.801, p=0.000\n", - "BRA-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.760, p=0.000\n", - "BRA-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.757, p=0.000\n", - "BRA-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.760, p=0.000\n", - "BRA-Land area (sq. km)\n", - "Statistical=0.780, p=0.000\n", - "BRA-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.781, p=0.000\n", - "BRA-Land under cereal production (hectares)\n", - "Statistical=0.781, p=0.000\n", - "BRA-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.885, p=0.003\n", - "BRA-Lifetime risk of maternal death (%)\n", - "Statistical=0.946, p=0.112\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.922, p=0.023\n", - "BRA-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.863, p=0.001\n", - "BRA-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.832, p=0.000\n", - "BRA-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=0.913, p=0.014\n", - "BRA-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.869, p=0.001\n", - "BRA-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.869, p=0.001\n", - "BRA-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.810, p=0.000\n", - "BRA-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.797, p=0.000\n", - "BRA-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.967, p=0.418\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.932, p=0.044\n", - "BRA-Low-birthweight babies (% of births)\n", - "Statistical=0.962, p=0.317\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Lower secondary school starting age (years)\n", - "Statistical=0.904, p=0.008\n", - "BRA-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.904, p=0.008\n", - "BRA-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.921, p=0.022\n", - "BRA-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.890, p=0.003\n", - "BRA-Marine protected areas (% of territorial waters)\n", - "Statistical=0.943, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.857, p=0.001\n", - "BRA-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.932, p=0.045\n", - "BRA-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.854, p=0.000\n", - "BRA-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.926, p=0.030\n", - "BRA-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.912, p=0.012\n", - "BRA-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Merchandise exports (current US$)\n", - "Statistical=0.892, p=0.004\n", - "BRA-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.890, p=0.004\n", - "BRA-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.949, p=0.134\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.962, p=0.313\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.922, p=0.024\n", - "BRA-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.876, p=0.002\n", - "BRA-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.928, p=0.035\n", - "BRA-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.903, p=0.007\n", - "BRA-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.917, p=0.017\n", - "BRA-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.888, p=0.003\n", - "BRA-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.861, p=0.001\n", - "BRA-Merchandise imports (current US$)\n", - "Statistical=0.898, p=0.005\n", - "BRA-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.797, p=0.000\n", - "BRA-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.871, p=0.001\n", - "BRA-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.917, p=0.017\n", - "BRA-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.910, p=0.011\n", - "BRA-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.893, p=0.004\n", - "BRA-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.856, p=0.001\n", - "BRA-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.891, p=0.004\n", - "BRA-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.874, p=0.001\n", - "BRA-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.970, p=0.500\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.865, p=0.001\n", - "BRA-Merchandise trade (% of GDP)\n", - "Statistical=0.980, p=0.796\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Methane emissions (% change from 1990)\n", - "Statistical=0.896, p=0.005\n", - "BRA-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.896, p=0.005\n", - "BRA-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.891, p=0.004\n", - "BRA-Military expenditure (% of GDP)\n", - "Statistical=0.866, p=0.001\n", - "BRA-Military expenditure (% of general government expenditure)\n", - "Statistical=0.870, p=0.001\n", - "BRA-Military expenditure (current USD)\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Mineral rents (% of GDP)\n", - "Statistical=0.719, p=0.000\n", - "BRA-Mobile cellular subscriptions\n", - "Statistical=0.947, p=0.120\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.972, p=0.569\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.812, p=0.000\n", - "BRA-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.959, p=0.252\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.897, p=0.005\n", - "BRA-Natural gas rents (% of GDP)\n", - "Statistical=0.861, p=0.001\n", - "BRA-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.890, p=0.003\n", - "BRA-Net capital account (BoP, current US$)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.882, p=0.002\n", - "BRA-Net financial account (BoP, current US$)\n", - "Statistical=0.970, p=0.507\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Net migration\n", - "Statistical=0.890, p=0.004\n", - "BRA-Net primary income (BoP, current US$)\n", - "Statistical=0.890, p=0.004\n", - "BRA-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.889, p=0.003\n", - "BRA-Net secondary income (BoP, current US$)\n", - "Statistical=0.906, p=0.009\n", - "BRA-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Net trade in goods (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Net trade in goods and services (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-New businesses registered (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.809, p=0.000\n", - "BRA-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.812, p=0.000\n", - "BRA-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.825, p=0.000\n", - "BRA-Number of deaths ages 10-14 years\n", - "Statistical=0.809, p=0.000\n", - "BRA-Number of deaths ages 15-19 years\n", - "Statistical=0.933, p=0.048\n", - "BRA-Number of deaths ages 20-24 years\n", - "Statistical=0.863, p=0.001\n", - "BRA-Number of deaths ages 5-9 years\n", - "Statistical=0.919, p=0.019\n", - "BRA-Number of infant deaths\n", - "Statistical=0.974, p=0.615\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Number of maternal deaths\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Number of neonatal deaths\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Number of under-five deaths\n", - "Statistical=0.909, p=0.011\n", - "BRA-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.918, p=0.018\n", - "BRA-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.825, p=0.000\n", - "BRA-Oil rents (% of GDP)\n", - "Statistical=0.912, p=0.013\n", - "BRA-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.912, p=0.013\n", - "BRA-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.923, p=0.025\n", - "BRA-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.889, p=0.003\n", - "BRA-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.918, p=0.018\n", - "BRA-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.969, p=0.469\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.890, p=0.003\n", - "BRA-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.890, p=0.003\n", - "BRA-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.894, p=0.004\n", - "BRA-People using at least basic drinking water services (% of population)\n", - "Statistical=0.907, p=0.009\n", - "BRA-People using at least basic sanitation services (% of population)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-People using safely managed sanitation services (% of population)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Permanent cropland (% of land area)\n", - "Statistical=0.949, p=0.139\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Physicians (per 1,000 people)\n", - "Statistical=0.915, p=0.015\n", - "BRA-Population ages 0-14 (% of total population)\n", - "Statistical=0.915, p=0.015\n", - "BRA-Population ages 15-64 (% of total population)\n", - "Statistical=0.905, p=0.008\n", - "BRA-Population ages 65 and above (% of total population)\n", - "Statistical=0.919, p=0.020\n", - "BRA-Population density (people per sq. km of land area)\n", - "Statistical=0.968, p=0.458\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Population growth (annual %)\n", - "Statistical=0.915, p=0.015\n", - "BRA-Population in largest city\n", - "Statistical=0.880, p=0.002\n", - "BRA-Population in the largest city (% of urban population)\n", - "Statistical=0.878, p=0.002\n", - "BRA-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.862, p=0.001\n", - "BRA-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.931, p=0.043\n", - "BRA-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.890, p=0.003\n", - "BRA-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.883, p=0.002\n", - "BRA-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.894, p=0.004\n", - "BRA-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.888, p=0.003\n", - "BRA-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.888, p=0.003\n", - "BRA-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.893, p=0.004\n", - "BRA-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.905, p=0.008\n", - "BRA-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.951, p=0.152\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.909, p=0.010\n", - "BRA-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.909, p=0.010\n", - "BRA-Prevalence of undernourishment (% of population)\n", - "Statistical=0.903, p=0.008\n", - "BRA-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.958, p=0.249\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Primary income payments (BoP, current US$)\n", - "Statistical=0.902, p=0.007\n", - "BRA-Primary income receipts (BoP, current US$)\n", - "Statistical=0.909, p=0.010\n", - "BRA-Primary school starting age (years)\n", - "Statistical=0.878, p=0.002\n", - "BRA-Private credit bureau coverage (% of adults)\n", - "Statistical=0.888, p=0.003\n", - "BRA-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.888, p=0.003\n", - "BRA-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.880, p=0.002\n", - "BRA-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.893, p=0.004\n", - "BRA-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.975, p=0.642\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Procedures to build a warehouse (number)\n", - "Statistical=0.957, p=0.223\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Procedures to register property (number)\n", - "Statistical=0.865, p=0.001\n", - "BRA-Profit tax (% of commercial profits)\n", - "Statistical=0.865, p=0.001\n", - "BRA-Progression to secondary school (%)\n", - "Statistical=0.892, p=0.004\n", - "BRA-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.907, p=0.009\n", - "BRA-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.926, p=0.030\n", - "BRA-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.871, p=0.001\n", - "BRA-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.883, p=0.002\n", - "BRA-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.907, p=0.009\n", - "BRA-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.875, p=0.002\n", - "BRA-Public credit registry coverage (% of adults)\n", - "Statistical=0.759, p=0.000\n", - "BRA-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.733, p=0.000\n", - "BRA-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.779, p=0.000\n", - "BRA-Rail lines (total route-km)\n", - "Statistical=0.790, p=0.000\n", - "BRA-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.624, p=0.000\n", - "BRA-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.897, p=0.005\n", - "BRA-Refugee population by country or territory of asylum\n", - "Statistical=0.944, p=0.097\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Refugee population by country or territory of origin\n", - "Statistical=0.989, p=0.980\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.874, p=0.001\n", - "BRA-Research and development expenditure (% of GDP)\n", - "Statistical=0.874, p=0.001\n", - "BRA-Researchers in R&D (per million people)\n", - "Statistical=0.889, p=0.003\n", - "BRA-Reserves and related items (BoP, current US$)\n", - "Statistical=0.882, p=0.002\n", - "BRA-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.897, p=0.005\n", - "BRA-Rural land area (sq. km)\n", - "Statistical=0.890, p=0.003\n", - "BRA-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.957, p=0.234\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.989, p=0.980\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Rural population\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Rural population (% of total population)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Rural population growth (annual %)\n", - "Statistical=0.882, p=0.002\n", - "BRA-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.889, p=0.003\n", - "BRA-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.660, p=0.000\n", - "BRA-Scientific and technical journal articles\n", - "Statistical=0.660, p=0.000\n", - "BRA-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.671, p=0.000\n", - "BRA-Secure Internet servers\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Secure Internet servers (per 1 million people)\n", - "Statistical=0.897, p=0.005\n", - "BRA-Service exports (BoP, current US$)\n", - "Statistical=0.898, p=0.006\n", - "BRA-Service imports (BoP, current US$)\n", - "Statistical=0.890, p=0.003\n", - "BRA-Sex ratio at birth (male births per female births)\n", - "Statistical=0.907, p=0.010\n", - "BRA-Social contributions (% of revenue)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.957, p=0.222\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Start-up procedures to register a business (number)\n", - "Statistical=0.950, p=0.140\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.894, p=0.004\n", - "BRA-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.883, p=0.002\n", - "BRA-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.846, p=0.000\n", - "BRA-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.846, p=0.000\n", - "BRA-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.893, p=0.004\n", - "BRA-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.906, p=0.009\n", - "BRA-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.721, p=0.000\n", - "BRA-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.782, p=0.000\n", - "BRA-Surface area (sq. km)\n", - "Statistical=0.759, p=0.000\n", - "BRA-Tax payments (number)\n", - "Statistical=0.867, p=0.001\n", - "BRA-Tax revenue (% of GDP)\n", - "Statistical=0.979, p=0.756\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Taxes less subsidies on products (current US$)\n", - "Statistical=0.893, p=0.004\n", - "BRA-Taxes on goods and services (% of revenue)\n", - "Statistical=0.893, p=0.004\n", - "BRA-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.889, p=0.003\n", - "BRA-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.905, p=0.009\n", - "BRA-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.902, p=0.007\n", - "BRA-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.950, p=0.147\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Time required to build a warehouse (days)\n", - "Statistical=0.893, p=0.004\n", - "BRA-Time required to enforce a contract (days)\n", - "Statistical=0.872, p=0.001\n", - "BRA-Time required to get electricity (days)\n", - "Statistical=0.916, p=0.017\n", - "BRA-Time required to register property (days)\n", - "Statistical=0.889, p=0.003\n", - "BRA-Time required to start a business (days)\n", - "Statistical=0.680, p=0.000\n", - "BRA-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Time to obtain an electrical connection (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Time to prepare and pay taxes (hours)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Time to resolve insolvency (years)\n", - "Statistical=0.677, p=0.000\n", - "BRA-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Total fisheries production (metric tons)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.683, p=0.000\n", - "BRA-Total natural resources rents (% of GDP)\n", - "Statistical=0.789, p=0.000\n", - "BRA-Total reserves (includes gold, current US$)\n", - "Statistical=0.870, p=0.001\n", - "BRA-Total reserves in months of imports\n", - "Statistical=0.834, p=0.000\n", - "BRA-Total reserves minus gold (current US$)\n", - "Statistical=0.768, p=0.000\n", - "BRA-Total tax and contribution rate (% of profit)\n", - "Statistical=0.831, p=0.000\n", - "BRA-Trade (% of GDP)\n", - "Statistical=0.883, p=0.002\n", - "BRA-Trade in services (% of GDP)\n", - "Statistical=0.805, p=0.000\n", - "BRA-Transport services (% of commercial service exports)\n", - "Statistical=0.923, p=0.026\n", - "BRA-Transport services (% of commercial service imports)\n", - "Statistical=0.894, p=0.004\n", - "BRA-Transport services (% of service exports, BoP)\n", - "Statistical=0.927, p=0.032\n", - "BRA-Transport services (% of service imports, BoP)\n", - "Statistical=0.952, p=0.161\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Travel services (% of commercial service exports)\n", - "Statistical=0.872, p=0.001\n", - "BRA-Travel services (% of commercial service imports)\n", - "Statistical=0.972, p=0.561\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Travel services (% of service exports, BoP)\n", - "Statistical=0.918, p=0.018\n", - "BRA-Travel services (% of service imports, BoP)\n", - "Statistical=0.918, p=0.018\n", - "BRA-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.888, p=0.003\n", - "BRA-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.893, p=0.004\n", - "BRA-UHC service coverage index\n", - "Statistical=0.864, p=0.001\n", - "BRA-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.864, p=0.001\n", - "BRA-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.920, p=0.020\n", - "BRA-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.929, p=0.037\n", - "BRA-Urban land area (sq. km)\n", - "Statistical=0.921, p=0.022\n", - "BRA-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.926, p=0.031\n", - "BRA-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Urban population\n", - "Statistical=0.925, p=0.029\n", - "BRA-Urban population (% of total population)\n", - "Statistical=0.910, p=0.011\n", - "BRA-Urban population growth (annual %)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-GDP (current US$)+1\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-GDP (current US$)+2\n", - "Statistical=0.950, p=0.145\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-GDP (current US$)+3\n", - "Statistical=0.854, p=0.000\n", - "BRA-GDP (current US$)+5\n", - "Statistical=0.829, p=0.000\n", - "BRA-GDP (current US$)+8\n", - "Statistical=0.990, p=0.989\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-GDP (current US$)+13\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-GDP (current US$)+21\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.898, p=0.006\n", - "BRA-Deposit interest rate (%)\n", - "Statistical=0.895, p=0.005\n", - "BRA-Other taxes (% of revenue)\n", - "Statistical=0.981, p=0.835\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.781, p=0.000\n", - "BRA-Taxes on international trade (% of revenue)\n", - "Statistical=0.781, p=0.000\n", - "BRA-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.808, p=0.000\n", - "BRA-Broad money (% of GDP)\n", - "Statistical=0.975, p=0.633\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Broad money growth (annual %)\n", - "Statistical=0.904, p=0.008\n", - "BRA-Broad money to total reserves ratio\n", - "Statistical=0.979, p=0.784\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data is NORMAL ( H0 not denied )\n", - "BRA-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.918, p=0.019\n", - "BRA-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.979, p=0.783\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.499, p=0.000\n", - "BRA-External health expenditure (% of current health expenditure)\n", - "Statistical=0.658, p=0.000\n", - "BRA-External health expenditure per capita (current US$)\n", - "Statistical=0.775, p=0.000\n", - "BRA-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.868, p=0.001\n", - "BRA-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.969, p=0.471\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.957, p=0.230\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.813, p=0.000\n", - "BRA-People practicing open defecation (% of population)\n", - "Statistical=0.811, p=0.000\n", - "BRA-Taxes on exports (% of tax revenue)\n", - "Statistical=0.813, p=0.000\n", - "BRA-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.880, p=0.002\n", - "BRA-Country\n", - "Statistical=0.927, p=0.032\n", - "BRA-Year\n", - "Statistical=0.866, p=0.001\n", - "BRA-Continent\n", - "Statistical=0.905, p=0.008\n", - "ARG-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Adjusted net national income (current US$)\n", - "Statistical=0.799, p=0.000\n", - "ARG-Adjusted net national income per capita (current US$)\n", - "Statistical=0.816, p=0.000\n", - "ARG-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.780, p=0.000\n", - "ARG-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.911, p=0.012\n", - "ARG-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.903, p=0.007\n", - "ARG-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.901, p=0.006\n", - "ARG-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.616, p=0.000\n", - "ARG-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.603, p=0.000\n", - "ARG-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.633, p=0.000\n", - "ARG-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.635, p=0.000\n", - "ARG-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.640, p=0.000\n", - "ARG-Age dependency ratio (% of working-age population)\n", - "Statistical=0.654, p=0.000\n", - "ARG-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.614, p=0.000\n", - "ARG-Agricultural land (% of land area)\n", - "Statistical=0.618, p=0.000\n", - "ARG-Agricultural land (sq. km)\n", - "Statistical=0.615, p=0.000\n", - "ARG-Agricultural methane emissions (% of total)\n", - "Statistical=0.919, p=0.019\n", - "ARG-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.967, p=0.419\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.886, p=0.003\n", - "ARG-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.951, p=0.156\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.966, p=0.405\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Aquaculture production (metric tons)\n", - "Statistical=0.929, p=0.037\n", - "ARG-Arable land (% of land area)\n", - "Statistical=0.969, p=0.464\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Arable land (hectares per person)\n", - "Statistical=0.928, p=0.034\n", - "ARG-Arable land (hectares)\n", - "Statistical=0.953, p=0.174\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Armed forces personnel (% of total labor force)\n", - "Statistical=0.955, p=0.206\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.953, p=0.180\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.927, p=0.031\n", - "ARG-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.895, p=0.005\n", - "ARG-Average precipitation in depth (mm per year)\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Average time to clear exports through customs (days)\n", - "Statistical=0.907, p=0.009\n", - "ARG-Births attended by skilled health staff (% of total)\n", - "Statistical=0.904, p=0.008\n", - "ARG-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.925, p=0.029\n", - "ARG-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.857, p=0.001\n", - "ARG-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.913, p=0.013\n", - "ARG-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-CO2 emissions (kt)\n", - "Statistical=0.844, p=0.000\n", - "ARG-CO2 emissions (metric tons per capita)\n", - "Statistical=0.799, p=0.000\n", - "ARG-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.865, p=0.001\n", - "ARG-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.911, p=0.012\n", - "ARG-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.956, p=0.210\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.914, p=0.014\n", - "ARG-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.957, p=0.232\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.773, p=0.000\n", - "ARG-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.891, p=0.004\n", - "ARG-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.843, p=0.000\n", - "ARG-Capture fisheries production (metric tons)\n", - "Statistical=0.910, p=0.011\n", - "ARG-Cereal production (metric tons)\n", - "Statistical=0.877, p=0.002\n", - "ARG-Cereal yield (kg per hectare)\n", - "Statistical=0.907, p=0.010\n", - "ARG-Changes in inventories (current US$)\n", - "Statistical=0.925, p=0.029\n", - "ARG-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.879, p=0.002\n", - "ARG-Children out of school (% of primary school age)\n", - "Statistical=0.764, p=0.000\n", - "ARG-Coal rents (% of GDP)\n", - "Statistical=0.764, p=0.000\n", - "ARG-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.683, p=0.000\n", - "ARG-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.682, p=0.000\n", - "ARG-Commercial service exports (current US$)\n", - "Statistical=0.751, p=0.000\n", - "ARG-Commercial service imports (current US$)\n", - "Statistical=0.955, p=0.201\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Completeness of birth registration (%)\n", - "Statistical=0.711, p=0.000\n", - "ARG-Consumer price index (2010 = 100)\n", - "Statistical=0.911, p=0.012\n", - "ARG-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.845, p=0.000\n", - "ARG-Crop production index (2014-2016 = 100)\n", - "Statistical=0.921, p=0.022\n", - "ARG-Current account balance (% of GDP)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Current account balance (BoP, current US$)\n", - "Statistical=0.966, p=0.401\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Current health expenditure (% of GDP)\n", - "Statistical=0.916, p=0.017\n", - "ARG-Current health expenditure per capita (current US$)\n", - "Statistical=0.916, p=0.017\n", - "ARG-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.746, p=0.000\n", - "ARG-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.863, p=0.001\n", - "ARG-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.957, p=0.222\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.957, p=0.234\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.879, p=0.002\n", - "ARG-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.853, p=0.000\n", - "ARG-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.768, p=0.000\n", - "ARG-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.758, p=0.000\n", - "ARG-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.835, p=0.000\n", - "ARG-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.835, p=0.000\n", - "ARG-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Electric power consumption (kWh per capita)\n", - "Statistical=0.792, p=0.000\n", - "ARG-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.916, p=0.016\n", - "ARG-Electricity production from coal sources (% of total)\n", - "Statistical=0.792, p=0.000\n", - "ARG-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.968, p=0.441\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.912, p=0.013\n", - "ARG-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.825, p=0.000\n", - "ARG-Electricity production from oil sources (% of total)\n", - "Statistical=0.917, p=0.018\n", - "ARG-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.734, p=0.000\n", - "ARG-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.775, p=0.000\n", - "ARG-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.947, p=0.115\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Export unit value index (2000 = 100)\n", - "Statistical=0.925, p=0.029\n", - "ARG-Export value index (2000 = 100)\n", - "Statistical=0.834, p=0.000\n", - "ARG-Export volume index (2000 = 100)\n", - "Statistical=0.892, p=0.004\n", - "ARG-Exports of goods and services (% of GDP)\n", - "Statistical=0.785, p=0.000\n", - "ARG-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.875, p=0.002\n", - "ARG-Exports of goods and services (current US$)\n", - "Statistical=0.764, p=0.000\n", - "ARG-External balance on goods and services (% of GDP)\n", - "Statistical=0.962, p=0.318\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-External balance on goods and services (current US$)\n", - "Statistical=0.953, p=0.179\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.923, p=0.026\n", - "ARG-Final consumption expenditure (% of GDP)\n", - "Statistical=0.923, p=0.025\n", - "ARG-Final consumption expenditure (current US$)\n", - "Statistical=0.949, p=0.132\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.895, p=0.005\n", - "ARG-Firms offering formal training (% of firms)\n", - "Statistical=0.929, p=0.038\n", - "ARG-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.886, p=0.003\n", - "ARG-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.869, p=0.001\n", - "ARG-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.904, p=0.008\n", - "ARG-Fixed broadband subscriptions\n", - "Statistical=0.861, p=0.001\n", - "ARG-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.862, p=0.001\n", - "ARG-Fixed telephone subscriptions\n", - "Statistical=0.930, p=0.039\n", - "ARG-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Food exports (% of merchandise exports)\n", - "Statistical=0.921, p=0.022\n", - "ARG-Food imports (% of merchandise imports)\n", - "Statistical=0.968, p=0.453\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Food production index (2014-2016 = 100)\n", - "Statistical=0.977, p=0.722\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Forest area (% of land area)\n", - "Statistical=0.892, p=0.004\n", - "ARG-Forest area (sq. km)\n", - "Statistical=0.903, p=0.007\n", - "ARG-Forest rents (% of GDP)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.828, p=0.000\n", - "ARG-Fuel exports (% of merchandise exports)\n", - "Statistical=0.848, p=0.000\n", - "ARG-Fuel imports (% of merchandise imports)\n", - "Statistical=0.762, p=0.000\n", - "ARG-GDP (current US$)\n", - "Statistical=0.919, p=0.019\n", - "ARG-GDP deflator (base year varies by country)\n", - "Statistical=0.953, p=0.176\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GDP deflator: linked series (base year varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GDP growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GDP per capita (current US$)\n", - "Statistical=0.847, p=0.000\n", - "ARG-GDP per capita growth (annual %)\n", - "Statistical=0.875, p=0.002\n", - "ARG-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.955, p=0.204\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GNI (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GNI growth (annual %)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GNI per capita growth (annual %)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.950, p=0.144\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-General government final consumption expenditure (current US$)\n", - "Statistical=0.926, p=0.031\n", - "ARG-Gini index\n", - "Statistical=0.909, p=0.010\n", - "ARG-Goods exports (BoP, current US$)\n", - "Statistical=0.801, p=0.000\n", - "ARG-Goods imports (BoP, current US$)\n", - "Statistical=0.916, p=0.016\n", - "ARG-Grants and other revenue (% of revenue)\n", - "Statistical=0.835, p=0.000\n", - "ARG-Gross capital formation (% of GDP)\n", - "Statistical=0.875, p=0.002\n", - "ARG-Gross capital formation (current US$)\n", - "Statistical=0.920, p=0.021\n", - "ARG-Gross domestic savings (% of GDP)\n", - "Statistical=0.895, p=0.005\n", - "ARG-Gross domestic savings (current US$)\n", - "Statistical=0.892, p=0.004\n", - "ARG-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.725, p=0.000\n", - "ARG-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Gross national expenditure (current US$)\n", - "Statistical=0.725, p=0.000\n", - "ARG-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.886, p=0.003\n", - "ARG-Gross savings (% of GDP)\n", - "Statistical=0.899, p=0.006\n", - "ARG-Gross savings (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.848, p=0.000\n", - "ARG-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-High-technology exports (% of manufactured exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-High-technology exports (current US$)\n", - "Statistical=0.928, p=0.034\n", - "ARG-Hospital beds (per 1,000 people)\n", - "Statistical=0.899, p=0.006\n", - "ARG-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.900, p=0.006\n", - "ARG-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.873, p=0.001\n", - "ARG-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.873, p=0.001\n", - "ARG-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.873, p=0.001\n", - "ARG-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.956, p=0.209\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.878, p=0.002\n", - "ARG-ICT goods exports (% of total goods exports)\n", - "Statistical=0.811, p=0.000\n", - "ARG-ICT goods imports (% total goods imports)\n", - "Statistical=0.844, p=0.000\n", - "ARG-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.922, p=0.024\n", - "ARG-ICT service exports (BoP, current US$)\n", - "Statistical=0.930, p=0.039\n", - "ARG-Import unit value index (2000 = 100)\n", - "Statistical=0.850, p=0.000\n", - "ARG-Import value index (2000 = 100)\n", - "Statistical=0.923, p=0.026\n", - "ARG-Import volume index (2000 = 100)\n", - "Statistical=0.744, p=0.000\n", - "ARG-Imports of goods and services (% of GDP)\n", - "Statistical=0.788, p=0.000\n", - "ARG-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.932, p=0.045\n", - "ARG-Imports of goods and services (current US$)\n", - "Statistical=0.624, p=0.000\n", - "ARG-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "ARG-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Income share held by highest 20%\n", - "Statistical=0.865, p=0.001\n", - "ARG-Income share held by lowest 10%\n", - "Statistical=0.929, p=0.038\n", - "ARG-Income share held by lowest 20%\n", - "Statistical=0.923, p=0.025\n", - "ARG-Income share held by second 20%\n", - "Statistical=0.882, p=0.002\n", - "ARG-Income share held by third 20%\n", - "Statistical=0.850, p=0.000\n", - "ARG-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.912, p=0.013\n", - "ARG-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.916, p=0.016\n", - "ARG-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.823, p=0.000\n", - "ARG-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.852, p=0.000\n", - "ARG-Individuals using the Internet (% of population)\n", - "Statistical=0.927, p=0.032\n", - "ARG-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.903, p=0.007\n", - "ARG-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.464, p=0.000\n", - "ARG-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.653, p=0.000\n", - "ARG-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.653, p=0.000\n", - "ARG-Intentional homicides (per 100,000 people)\n", - "Statistical=0.653, p=0.000\n", - "ARG-Interest payments (% of revenue)\n", - "Statistical=0.653, p=0.000\n", - "ARG-International migrant stock (% of population)\n", - "Statistical=0.653, p=0.000\n", - "ARG-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.653, p=0.000\n", - "ARG-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.653, p=0.000\n", - "ARG-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.653, p=0.000\n", - "ARG-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.653, p=0.000\n", - "ARG-Land area (sq. km)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Land under cereal production (hectares)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.887, p=0.003\n", - "ARG-Lifetime risk of maternal death (%)\n", - "Statistical=0.860, p=0.001\n", - "ARG-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.972, p=0.567\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.890, p=0.004\n", - "ARG-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.925, p=0.028\n", - "ARG-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=0.880, p=0.002\n", - "ARG-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.873, p=0.001\n", - "ARG-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.877, p=0.002\n", - "ARG-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.884, p=0.003\n", - "ARG-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.865, p=0.001\n", - "ARG-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.915, p=0.015\n", - "ARG-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.929, p=0.036\n", - "ARG-Low-birthweight babies (% of births)\n", - "Statistical=0.943, p=0.091\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Lower secondary school starting age (years)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.912, p=0.012\n", - "ARG-Marine protected areas (% of territorial waters)\n", - "Statistical=0.899, p=0.006\n", - "ARG-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.932, p=0.043\n", - "ARG-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.929, p=0.037\n", - "ARG-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.876, p=0.002\n", - "ARG-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.945, p=0.103\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.893, p=0.004\n", - "ARG-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.819, p=0.000\n", - "ARG-Merchandise exports (current US$)\n", - "Statistical=0.942, p=0.085\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.918, p=0.019\n", - "ARG-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.862, p=0.001\n", - "ARG-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.932, p=0.044\n", - "ARG-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.825, p=0.000\n", - "ARG-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.963, p=0.339\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.727, p=0.000\n", - "ARG-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.762, p=0.000\n", - "ARG-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.902, p=0.007\n", - "ARG-Merchandise imports (current US$)\n", - "Statistical=0.899, p=0.006\n", - "ARG-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.857, p=0.001\n", - "ARG-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.885, p=0.003\n", - "ARG-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.947, p=0.116\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.895, p=0.005\n", - "ARG-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.894, p=0.004\n", - "ARG-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.922, p=0.024\n", - "ARG-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.884, p=0.003\n", - "ARG-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.923, p=0.025\n", - "ARG-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.938, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.911, p=0.012\n", - "ARG-Merchandise trade (% of GDP)\n", - "Statistical=0.991, p=0.995\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Methane emissions (% change from 1990)\n", - "Statistical=0.894, p=0.004\n", - "ARG-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.894, p=0.004\n", - "ARG-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.766, p=0.000\n", - "ARG-Military expenditure (% of GDP)\n", - "Statistical=0.911, p=0.012\n", - "ARG-Military expenditure (% of general government expenditure)\n", - "Statistical=0.920, p=0.021\n", - "ARG-Military expenditure (current USD)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Mineral rents (% of GDP)\n", - "Statistical=0.774, p=0.000\n", - "ARG-Mobile cellular subscriptions\n", - "Statistical=0.877, p=0.002\n", - "ARG-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.913, p=0.014\n", - "ARG-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.881, p=0.002\n", - "ARG-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.845, p=0.000\n", - "ARG-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.886, p=0.003\n", - "ARG-Natural gas rents (% of GDP)\n", - "Statistical=0.878, p=0.002\n", - "ARG-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.839, p=0.000\n", - "ARG-Net capital account (BoP, current US$)\n", - "Statistical=0.922, p=0.024\n", - "ARG-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.910, p=0.012\n", - "ARG-Net financial account (BoP, current US$)\n", - "Statistical=0.959, p=0.262\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Net migration\n", - "Statistical=0.917, p=0.018\n", - "ARG-Net primary income (BoP, current US$)\n", - "Statistical=0.917, p=0.018\n", - "ARG-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.715, p=0.000\n", - "ARG-Net secondary income (BoP, current US$)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.789, p=0.000\n", - "ARG-Net trade in goods (BoP, current US$)\n", - "Statistical=0.843, p=0.000\n", - "ARG-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.731, p=0.000\n", - "ARG-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.752, p=0.000\n", - "ARG-New businesses registered (number)\n", - "Statistical=0.722, p=0.000\n", - "ARG-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.806, p=0.000\n", - "ARG-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.807, p=0.000\n", - "ARG-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.856, p=0.001\n", - "ARG-Number of deaths ages 10-14 years\n", - "Statistical=0.842, p=0.000\n", - "ARG-Number of deaths ages 15-19 years\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Number of deaths ages 20-24 years\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Number of deaths ages 5-9 years\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Number of infant deaths\n", - "Statistical=0.963, p=0.337\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Number of maternal deaths\n", - "Statistical=0.890, p=0.003\n", - "ARG-Number of neonatal deaths\n", - "Statistical=0.974, p=0.603\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Number of under-five deaths\n", - "Statistical=0.933, p=0.046\n", - "ARG-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.950, p=0.145\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.983, p=0.884\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Oil rents (% of GDP)\n", - "Statistical=0.910, p=0.011\n", - "ARG-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.910, p=0.011\n", - "ARG-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.956, p=0.209\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.964, p=0.353\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.926, p=0.030\n", - "ARG-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.880, p=0.002\n", - "ARG-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.909, p=0.010\n", - "ARG-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.909, p=0.010\n", - "ARG-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.723, p=0.000\n", - "ARG-People using at least basic drinking water services (% of population)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-People using at least basic sanitation services (% of population)\n", - "Statistical=0.727, p=0.000\n", - "ARG-People using safely managed sanitation services (% of population)\n", - "Statistical=0.727, p=0.000\n", - "ARG-Permanent cropland (% of land area)\n", - "Statistical=0.916, p=0.016\n", - "ARG-Physicians (per 1,000 people)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Population ages 0-14 (% of total population)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Population ages 15-64 (% of total population)\n", - "Statistical=0.727, p=0.000\n", - "ARG-Population ages 65 and above (% of total population)\n", - "Statistical=0.955, p=0.205\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Population density (people per sq. km of land area)\n", - "Statistical=0.923, p=0.024\n", - "ARG-Population growth (annual %)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Population in largest city\n", - "Statistical=0.918, p=0.019\n", - "ARG-Population in the largest city (% of urban population)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.894, p=0.004\n", - "ARG-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.955, p=0.202\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.909, p=0.010\n", - "ARG-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.914, p=0.014\n", - "ARG-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.723, p=0.000\n", - "ARG-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.906, p=0.009\n", - "ARG-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.906, p=0.009\n", - "ARG-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.720, p=0.000\n", - "ARG-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.981, p=0.831\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.944, p=0.098\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.944, p=0.098\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Prevalence of undernourishment (% of population)\n", - "Statistical=0.725, p=0.000\n", - "ARG-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.981, p=0.830\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Primary income payments (BoP, current US$)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Primary income receipts (BoP, current US$)\n", - "Statistical=0.944, p=0.098\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Primary school starting age (years)\n", - "Statistical=0.910, p=0.011\n", - "ARG-Private credit bureau coverage (% of adults)\n", - "Statistical=0.922, p=0.023\n", - "ARG-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.906, p=0.009\n", - "ARG-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.906, p=0.009\n", - "ARG-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.720, p=0.000\n", - "ARG-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.948, p=0.129\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Procedures to build a warehouse (number)\n", - "Statistical=0.989, p=0.977\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Procedures to register property (number)\n", - "Statistical=0.835, p=0.000\n", - "ARG-Profit tax (% of commercial profits)\n", - "Statistical=0.835, p=0.000\n", - "ARG-Progression to secondary school (%)\n", - "Statistical=0.708, p=0.000\n", - "ARG-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.921, p=0.022\n", - "ARG-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.908, p=0.010\n", - "ARG-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.873, p=0.001\n", - "ARG-Public credit registry coverage (% of adults)\n", - "Statistical=0.856, p=0.001\n", - "ARG-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.889, p=0.003\n", - "ARG-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.896, p=0.005\n", - "ARG-Rail lines (total route-km)\n", - "Statistical=0.976, p=0.690\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.713, p=0.000\n", - "ARG-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.970, p=0.506\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Refugee population by country or territory of asylum\n", - "Statistical=0.958, p=0.242\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Refugee population by country or territory of origin\n", - "Statistical=0.972, p=0.546\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.962, p=0.309\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.962, p=0.309\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.731, p=0.000\n", - "ARG-Research and development expenditure (% of GDP)\n", - "Statistical=0.966, p=0.396\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Researchers in R&D (per million people)\n", - "Statistical=0.898, p=0.005\n", - "ARG-Reserves and related items (BoP, current US$)\n", - "Statistical=0.910, p=0.012\n", - "ARG-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.762, p=0.000\n", - "ARG-Rural land area (sq. km)\n", - "Statistical=0.929, p=0.036\n", - "ARG-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.964, p=0.349\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.970, p=0.510\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Rural population\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Rural population (% of total population)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Rural population growth (annual %)\n", - "Statistical=0.736, p=0.000\n", - "ARG-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.967, p=0.410\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.914, p=0.014\n", - "ARG-Scientific and technical journal articles\n", - "Statistical=0.879, p=0.002\n", - "ARG-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.888, p=0.003\n", - "ARG-Secure Internet servers\n", - "Statistical=0.929, p=0.036\n", - "ARG-Secure Internet servers (per 1 million people)\n", - "Statistical=0.930, p=0.038\n", - "ARG-Service exports (BoP, current US$)\n", - "Statistical=0.931, p=0.042\n", - "ARG-Service imports (BoP, current US$)\n", - "Statistical=0.717, p=0.000\n", - "ARG-Sex ratio at birth (male births per female births)\n", - "Statistical=0.945, p=0.103\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Social contributions (% of revenue)\n", - "Statistical=0.726, p=0.000\n", - "ARG-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.925, p=0.028\n", - "ARG-Start-up procedures to register a business (number)\n", - "Statistical=0.944, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.752, p=0.000\n", - "ARG-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.929, p=0.037\n", - "ARG-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.912, p=0.013\n", - "ARG-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.912, p=0.013\n", - "ARG-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.721, p=0.000\n", - "ARG-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.950, p=0.145\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.808, p=0.000\n", - "ARG-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.737, p=0.000\n", - "ARG-Surface area (sq. km)\n", - "Statistical=0.855, p=0.001\n", - "ARG-Tax payments (number)\n", - "Statistical=0.912, p=0.012\n", - "ARG-Tax revenue (% of GDP)\n", - "Statistical=0.903, p=0.007\n", - "ARG-Taxes less subsidies on products (current US$)\n", - "Statistical=0.875, p=0.002\n", - "ARG-Taxes on goods and services (% of revenue)\n", - "Statistical=0.875, p=0.002\n", - "ARG-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.716, p=0.000\n", - "ARG-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.944, p=0.099\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.906, p=0.009\n", - "ARG-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.914, p=0.015\n", - "ARG-Time required to build a warehouse (days)\n", - "Statistical=0.875, p=0.002\n", - "ARG-Time required to enforce a contract (days)\n", - "Statistical=0.622, p=0.000\n", - "ARG-Time required to get electricity (days)\n", - "Statistical=0.915, p=0.016\n", - "ARG-Time required to register property (days)\n", - "Statistical=0.716, p=0.000\n", - "ARG-Time required to start a business (days)\n", - "Statistical=0.676, p=0.000\n", - "ARG-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.622, p=0.000\n", - "ARG-Time to obtain an electrical connection (days)\n", - "Statistical=0.633, p=0.000\n", - "ARG-Time to prepare and pay taxes (hours)\n", - "Statistical=0.618, p=0.000\n", - "ARG-Time to resolve insolvency (years)\n", - "Statistical=0.675, p=0.000\n", - "ARG-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.300, p=0.000\n", - "ARG-Total fisheries production (metric tons)\n", - "Statistical=0.269, p=0.000\n", - "ARG-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.322, p=0.000\n", - "ARG-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.675, p=0.000\n", - "ARG-Total natural resources rents (% of GDP)\n", - "Statistical=0.844, p=0.000\n", - "ARG-Total reserves (includes gold, current US$)\n", - "Statistical=0.884, p=0.003\n", - "ARG-Total reserves in months of imports\n", - "Statistical=0.899, p=0.006\n", - "ARG-Total reserves minus gold (current US$)\n", - "Statistical=0.822, p=0.000\n", - "ARG-Total tax and contribution rate (% of profit)\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Trade (% of GDP)\n", - "Statistical=0.781, p=0.000\n", - "ARG-Trade in services (% of GDP)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Transport services (% of commercial service exports)\n", - "Statistical=0.959, p=0.259\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Transport services (% of commercial service imports)\n", - "Statistical=0.940, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Transport services (% of service exports, BoP)\n", - "Statistical=0.961, p=0.296\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Transport services (% of service imports, BoP)\n", - "Statistical=0.961, p=0.302\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Travel services (% of commercial service exports)\n", - "Statistical=0.926, p=0.030\n", - "ARG-Travel services (% of commercial service imports)\n", - "Statistical=0.963, p=0.338\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Travel services (% of service exports, BoP)\n", - "Statistical=0.967, p=0.425\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Travel services (% of service imports, BoP)\n", - "Statistical=0.967, p=0.425\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.763, p=0.000\n", - "ARG-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-UHC service coverage index\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.875, p=0.001\n", - "ARG-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.903, p=0.007\n", - "ARG-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.920, p=0.020\n", - "ARG-Urban land area (sq. km)\n", - "Statistical=0.931, p=0.042\n", - "ARG-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.893, p=0.004\n", - "ARG-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.908, p=0.010\n", - "ARG-Urban population\n", - "Statistical=0.927, p=0.033\n", - "ARG-Urban population (% of total population)\n", - "Statistical=0.921, p=0.022\n", - "ARG-Urban population growth (annual %)\n", - "Statistical=0.701, p=0.000\n", - "ARG-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.701, p=0.000\n", - "ARG-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.701, p=0.000\n", - "ARG-GDP (current US$)+1\n", - "Statistical=0.701, p=0.000\n", - "ARG-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GDP (current US$)+2\n", - "Statistical=0.964, p=0.359\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GDP (current US$)+3\n", - "Statistical=0.978, p=0.739\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GDP (current US$)+5\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GDP (current US$)+8\n", - "Statistical=0.958, p=0.240\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GDP (current US$)+13\n", - "Statistical=0.951, p=0.158\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-GDP (current US$)+21\n", - "Statistical=0.951, p=0.158\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.734, p=0.000\n", - "ARG-Deposit interest rate (%)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Other taxes (% of revenue)\n", - "Statistical=0.922, p=0.024\n", - "ARG-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Taxes on international trade (% of revenue)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Broad money (% of GDP)\n", - "Statistical=0.878, p=0.002\n", - "ARG-Broad money growth (annual %)\n", - "Statistical=0.964, p=0.354\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Broad money to total reserves ratio\n", - "Statistical=0.876, p=0.002\n", - "ARG-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.961, p=0.284\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.806, p=0.000\n", - "ARG-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.944, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-External health expenditure (% of current health expenditure)\n", - "Statistical=0.835, p=0.000\n", - "ARG-External health expenditure per capita (current US$)\n", - "Statistical=0.569, p=0.000\n", - "ARG-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.917, p=0.018\n", - "ARG-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.832, p=0.000\n", - "ARG-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.851, p=0.000\n", - "ARG-People practicing open defecation (% of population)\n", - "Statistical=0.876, p=0.002\n", - "ARG-Taxes on exports (% of tax revenue)\n", - "Statistical=0.872, p=0.001\n", - "ARG-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.827, p=0.000\n", - "ARG-Country\n", - "Statistical=0.866, p=0.001\n", - "ARG-Year\n", - "Statistical=0.874, p=0.001\n", - "ARG-Continent\n", - "Statistical=0.954, p=0.185\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Adjusted net national income (current US$)\n", - "Statistical=0.862, p=0.001\n", - "PER-Adjusted net national income per capita (current US$)\n", - "Statistical=0.772, p=0.000\n", - "PER-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.852, p=0.000\n", - "PER-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.908, p=0.010\n", - "PER-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.897, p=0.005\n", - "PER-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.904, p=0.008\n", - "PER-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.603, p=0.000\n", - "PER-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.590, p=0.000\n", - "PER-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.610, p=0.000\n", - "PER-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.605, p=0.000\n", - "PER-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.613, p=0.000\n", - "PER-Age dependency ratio (% of working-age population)\n", - "Statistical=0.577, p=0.000\n", - "PER-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.594, p=0.000\n", - "PER-Agricultural land (% of land area)\n", - "Statistical=0.608, p=0.000\n", - "PER-Agricultural land (sq. km)\n", - "Statistical=0.597, p=0.000\n", - "PER-Agricultural methane emissions (% of total)\n", - "Statistical=0.871, p=0.001\n", - "PER-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.826, p=0.000\n", - "PER-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.842, p=0.000\n", - "PER-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.983, p=0.875\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.874, p=0.001\n", - "PER-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.845, p=0.000\n", - "PER-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.977, p=0.698\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Aquaculture production (metric tons)\n", - "Statistical=0.845, p=0.000\n", - "PER-Arable land (% of land area)\n", - "Statistical=0.833, p=0.000\n", - "PER-Arable land (hectares per person)\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Arable land (hectares)\n", - "Statistical=0.866, p=0.001\n", - "PER-Armed forces personnel (% of total labor force)\n", - "Statistical=0.934, p=0.050\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.854, p=0.000\n", - "PER-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.963, p=0.331\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.867, p=0.001\n", - "PER-Average precipitation in depth (mm per year)\n", - "Statistical=0.947, p=0.115\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Average time to clear exports through customs (days)\n", - "Statistical=0.771, p=0.000\n", - "PER-Births attended by skilled health staff (% of total)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.840, p=0.000\n", - "PER-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.918, p=0.018\n", - "PER-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.981, p=0.823\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.967, p=0.410\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-CO2 emissions (kt)\n", - "Statistical=0.856, p=0.001\n", - "PER-CO2 emissions (metric tons per capita)\n", - "Statistical=0.825, p=0.000\n", - "PER-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.876, p=0.002\n", - "PER-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.913, p=0.013\n", - "PER-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.873, p=0.001\n", - "PER-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.823, p=0.000\n", - "PER-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.907, p=0.009\n", - "PER-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.851, p=0.000\n", - "PER-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.845, p=0.000\n", - "PER-Capture fisheries production (metric tons)\n", - "Statistical=0.815, p=0.000\n", - "PER-Cereal production (metric tons)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Cereal yield (kg per hectare)\n", - "Statistical=0.912, p=0.013\n", - "PER-Changes in inventories (current US$)\n", - "Statistical=0.954, p=0.192\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Chemicals (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Children out of school (% of primary school age)\n", - "Statistical=0.933, p=0.049\n", - "PER-Coal rents (% of GDP)\n", - "Statistical=0.933, p=0.049\n", - "PER-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.448, p=0.000\n", - "PER-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.450, p=0.000\n", - "PER-Commercial service exports (current US$)\n", - "Statistical=0.653, p=0.000\n", - "PER-Commercial service imports (current US$)\n", - "Statistical=0.866, p=0.001\n", - "PER-Completeness of birth registration (%)\n", - "Statistical=0.714, p=0.000\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PER-Consumer price index (2010 = 100)\n", - "Statistical=0.873, p=0.001\n", - "PER-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.887, p=0.003\n", - "PER-Crop production index (2014-2016 = 100)\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Current account balance (% of GDP)\n", - "Statistical=0.908, p=0.010\n", - "PER-Current account balance (BoP, current US$)\n", - "Statistical=0.974, p=0.623\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Current health expenditure (% of GDP)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Current health expenditure per capita (current US$)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.914, p=0.014\n", - "PER-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.834, p=0.000\n", - "PER-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.872, p=0.001\n", - "PER-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.876, p=0.002\n", - "PER-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.826, p=0.000\n", - "PER-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.854, p=0.001\n", - "PER-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.896, p=0.005\n", - "PER-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.586, p=0.000\n", - "PER-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.586, p=0.000\n", - "PER-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.586, p=0.000\n", - "PER-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.586, p=0.000\n", - "PER-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.586, p=0.000\n", - "PER-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.807, p=0.000\n", - "PER-Electric power consumption (kWh per capita)\n", - "Statistical=0.962, p=0.316\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.887, p=0.003\n", - "PER-Electricity production from coal sources (% of total)\n", - "Statistical=0.962, p=0.316\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.862, p=0.001\n", - "PER-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.660, p=0.000\n", - "PER-Electricity production from oil sources (% of total)\n", - "Statistical=0.899, p=0.006\n", - "PER-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.669, p=0.000\n", - "PER-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.776, p=0.000\n", - "PER-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.766, p=0.000\n", - "PER-Energy related methane emissions (% of total)\n", - "Statistical=0.724, p=0.000\n", - "PER-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.933, p=0.047\n", - "PER-Export unit value index (2000 = 100)\n", - "Statistical=0.872, p=0.001\n", - "PER-Export value index (2000 = 100)\n", - "Statistical=0.798, p=0.000\n", - "PER-Export volume index (2000 = 100)\n", - "Statistical=0.794, p=0.000\n", - "PER-Exports of goods and services (% of GDP)\n", - "Statistical=0.657, p=0.000\n", - "PER-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.944, p=0.098\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Exports of goods and services (current US$)\n", - "Statistical=0.858, p=0.001\n", - "PER-External balance on goods and services (% of GDP)\n", - "Statistical=0.895, p=0.005\n", - "PER-External balance on goods and services (current US$)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.731, p=0.000\n", - "PER-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Final consumption expenditure (% of GDP)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Final consumption expenditure (current US$)\n", - "Statistical=0.900, p=0.006\n", - "PER-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.867, p=0.001\n", - "PER-Firms offering formal training (% of firms)\n", - "Statistical=0.853, p=0.000\n", - "PER-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.835, p=0.000\n", - "PER-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.804, p=0.000\n", - "PER-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.776, p=0.000\n", - "PER-Fixed broadband subscriptions\n", - "Statistical=0.891, p=0.004\n", - "PER-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.922, p=0.023\n", - "PER-Fixed telephone subscriptions\n", - "Statistical=0.877, p=0.002\n", - "PER-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.883, p=0.002\n", - "PER-Food exports (% of merchandise exports)\n", - "Statistical=0.832, p=0.000\n", - "PER-Food imports (% of merchandise imports)\n", - "Statistical=0.897, p=0.005\n", - "PER-Food production index (2014-2016 = 100)\n", - "Statistical=0.836, p=0.000\n", - "PER-Forest area (% of land area)\n", - "Statistical=0.899, p=0.006\n", - "PER-Forest area (sq. km)\n", - "Statistical=0.943, p=0.091\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Forest rents (% of GDP)\n", - "Statistical=0.966, p=0.400\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.829, p=0.000\n", - "PER-Fuel exports (% of merchandise exports)\n", - "Statistical=0.818, p=0.000\n", - "PER-Fuel imports (% of merchandise imports)\n", - "Statistical=0.836, p=0.000\n", - "PER-GDP (current US$)\n", - "Statistical=0.919, p=0.020\n", - "PER-GDP deflator (base year varies by country)\n", - "Statistical=0.946, p=0.108\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.874, p=0.001\n", - "PER-GDP growth (annual %)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-GDP per capita (current US$)\n", - "Statistical=0.844, p=0.000\n", - "PER-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.886, p=0.003\n", - "PER-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.784, p=0.000\n", - "PER-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.680, p=0.000\n", - "PER-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.689, p=0.000\n", - "PER-GNI (current US$)\n", - "Statistical=0.774, p=0.000\n", - "PER-GNI growth (annual %)\n", - "Statistical=0.686, p=0.000\n", - "PER-GNI per capita growth (annual %)\n", - "Statistical=0.701, p=0.000\n", - "PER-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.963, p=0.333\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-General government final consumption expenditure (current US$)\n", - "Statistical=0.968, p=0.446\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Gini index\n", - "Statistical=0.915, p=0.015\n", - "PER-Goods exports (BoP, current US$)\n", - "Statistical=0.878, p=0.002\n", - "PER-Goods imports (BoP, current US$)\n", - "Statistical=0.905, p=0.008\n", - "PER-Grants and other revenue (% of revenue)\n", - "Statistical=0.780, p=0.000\n", - "PER-Gross capital formation (% of GDP)\n", - "Statistical=0.861, p=0.001\n", - "PER-Gross capital formation (current US$)\n", - "Statistical=0.880, p=0.002\n", - "PER-Gross domestic savings (% of GDP)\n", - "Statistical=0.962, p=0.316\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Gross domestic savings (current US$)\n", - "Statistical=0.970, p=0.507\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.757, p=0.000\n", - "PER-Gross fixed capital formation (current US$)\n", - "Statistical=0.654, p=0.000\n", - "PER-Gross national expenditure (% of GDP)\n", - "Statistical=0.654, p=0.000\n", - "PER-Gross national expenditure (current US$)\n", - "Statistical=0.585, p=0.000\n", - "PER-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.977, p=0.698\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Gross savings (% of GDP)\n", - "Statistical=0.968, p=0.435\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Gross savings (current US$)\n", - "Statistical=0.957, p=0.232\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.818, p=0.000\n", - "PER-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.824, p=0.000\n", - "PER-High-technology exports (% of manufactured exports)\n", - "Statistical=0.884, p=0.002\n", - "PER-High-technology exports (current US$)\n", - "Statistical=0.891, p=0.004\n", - "PER-Hospital beds (per 1,000 people)\n", - "Statistical=0.919, p=0.020\n", - "PER-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.868, p=0.001\n", - "PER-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.769, p=0.000\n", - "PER-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.769, p=0.000\n", - "PER-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.769, p=0.000\n", - "PER-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.948, p=0.129\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.984, p=0.912\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.954, p=0.181\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.952, p=0.163\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-ICT goods exports (% of total goods exports)\n", - "Statistical=0.900, p=0.006\n", - "PER-ICT goods imports (% total goods imports)\n", - "Statistical=0.946, p=0.110\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.817, p=0.000\n", - "PER-ICT service exports (BoP, current US$)\n", - "Statistical=0.793, p=0.000\n", - "PER-Import unit value index (2000 = 100)\n", - "Statistical=0.829, p=0.000\n", - "PER-Import value index (2000 = 100)\n", - "Statistical=0.841, p=0.000\n", - "PER-Import volume index (2000 = 100)\n", - "Statistical=0.935, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Imports of goods and services (% of GDP)\n", - "Statistical=0.879, p=0.002\n", - "PER-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.782, p=0.000\n", - "PER-Imports of goods and services (current US$)\n", - "Statistical=0.789, p=0.000\n", - "PER-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "PER-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Income share held by lowest 10%\n", - "Statistical=0.966, p=0.398\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Income share held by lowest 20%\n", - "Statistical=0.966, p=0.401\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Income share held by second 20%\n", - "Statistical=0.791, p=0.000\n", - "PER-Income share held by third 20%\n", - "Statistical=0.829, p=0.000\n", - "PER-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.816, p=0.000\n", - "PER-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.785, p=0.000\n", - "PER-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.801, p=0.000\n", - "PER-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.801, p=0.000\n", - "PER-Individuals using the Internet (% of population)\n", - "Statistical=0.789, p=0.000\n", - "PER-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.809, p=0.000\n", - "PER-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.470, p=0.000\n", - "PER-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.891, p=0.004\n", - "PER-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.900, p=0.006\n", - "PER-Intentional homicides (per 100,000 people)\n", - "Statistical=0.895, p=0.005\n", - "PER-Interest payments (% of revenue)\n", - "Statistical=0.755, p=0.000\n", - "PER-International migrant stock (% of population)\n", - "Statistical=0.667, p=0.000\n", - "PER-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.718, p=0.000\n", - "PER-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.580, p=0.000\n", - "PER-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.383, p=0.000\n", - "PER-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.350, p=0.000\n", - "PER-Land area (sq. km)\n", - "Statistical=0.796, p=0.000\n", - "PER-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.762, p=0.000\n", - "PER-Land under cereal production (hectares)\n", - "Statistical=0.750, p=0.000\n", - "PER-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.855, p=0.001\n", - "PER-Lifetime risk of maternal death (%)\n", - "Statistical=0.867, p=0.001\n", - "PER-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.851, p=0.000\n", - "PER-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.803, p=0.000\n", - "PER-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.854, p=0.001\n", - "PER-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.846, p=0.000\n", - "PER-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.824, p=0.000\n", - "PER-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.770, p=0.000\n", - "PER-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.914, p=0.015\n", - "PER-Low-birthweight babies (% of births)\n", - "Statistical=0.925, p=0.029\n", - "PER-Lower secondary school starting age (years)\n", - "Statistical=0.811, p=0.000\n", - "PER-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.810, p=0.000\n", - "PER-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.811, p=0.000\n", - "PER-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.951, p=0.154\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Marine protected areas (% of territorial waters)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.856, p=0.001\n", - "PER-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.904, p=0.008\n", - "PER-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.903, p=0.007\n", - "PER-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.893, p=0.004\n", - "PER-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.869, p=0.001\n", - "PER-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.859, p=0.001\n", - "PER-Merchandise exports (current US$)\n", - "Statistical=0.901, p=0.006\n", - "PER-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.870, p=0.001\n", - "PER-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.875, p=0.002\n", - "PER-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.849, p=0.000\n", - "PER-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.919, p=0.020\n", - "PER-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.846, p=0.000\n", - "PER-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.931, p=0.042\n", - "PER-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.889, p=0.003\n", - "PER-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.924, p=0.027\n", - "PER-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.861, p=0.001\n", - "PER-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.900, p=0.006\n", - "PER-Merchandise imports (current US$)\n", - "Statistical=0.791, p=0.000\n", - "PER-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.883, p=0.002\n", - "PER-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.781, p=0.000\n", - "PER-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.957, p=0.226\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.864, p=0.001\n", - "PER-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.843, p=0.000\n", - "PER-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.875, p=0.002\n", - "PER-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.925, p=0.029\n", - "PER-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.847, p=0.000\n", - "PER-Merchandise trade (% of GDP)\n", - "Statistical=0.969, p=0.472\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Methane emissions (% change from 1990)\n", - "Statistical=0.924, p=0.027\n", - "PER-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.924, p=0.027\n", - "PER-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.895, p=0.005\n", - "PER-Military expenditure (% of GDP)\n", - "Statistical=0.848, p=0.000\n", - "PER-Military expenditure (% of general government expenditure)\n", - "Statistical=0.849, p=0.000\n", - "PER-Military expenditure (current USD)\n", - "Statistical=0.968, p=0.458\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Mineral rents (% of GDP)\n", - "Statistical=0.731, p=0.000\n", - "PER-Mobile cellular subscriptions\n", - "Statistical=0.948, p=0.130\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.948, p=0.123\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.697, p=0.000\n", - "PER-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.829, p=0.000\n", - "PER-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.796, p=0.000\n", - "PER-Natural gas rents (% of GDP)\n", - "Statistical=0.905, p=0.008\n", - "PER-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.614, p=0.000\n", - "PER-Net capital account (BoP, current US$)\n", - "Statistical=0.973, p=0.587\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.933, p=0.048\n", - "PER-Net financial account (BoP, current US$)\n", - "Statistical=0.952, p=0.164\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Net migration\n", - "Statistical=0.876, p=0.002\n", - "PER-Net primary income (BoP, current US$)\n", - "Statistical=0.876, p=0.002\n", - "PER-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.912, p=0.012\n", - "PER-Net secondary income (BoP, current US$)\n", - "Statistical=0.846, p=0.000\n", - "PER-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.725, p=0.000\n", - "PER-Net trade in goods (BoP, current US$)\n", - "Statistical=0.724, p=0.000\n", - "PER-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.740, p=0.000\n", - "PER-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.852, p=0.000\n", - "PER-New businesses registered (number)\n", - "Statistical=0.683, p=0.000\n", - "PER-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.807, p=0.000\n", - "PER-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.815, p=0.000\n", - "PER-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.926, p=0.031\n", - "PER-Number of deaths ages 10-14 years\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Number of deaths ages 15-19 years\n", - "Statistical=0.961, p=0.290\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Number of deaths ages 20-24 years\n", - "Statistical=0.879, p=0.002\n", - "PER-Number of deaths ages 5-9 years\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Number of infant deaths\n", - "Statistical=0.943, p=0.091\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Number of maternal deaths\n", - "Statistical=0.915, p=0.015\n", - "PER-Number of neonatal deaths\n", - "Statistical=0.983, p=0.888\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Number of under-five deaths\n", - "Statistical=0.920, p=0.021\n", - "PER-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.941, p=0.081\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.892, p=0.004\n", - "PER-Oil rents (% of GDP)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.944, p=0.099\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.895, p=0.005\n", - "PER-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.945, p=0.107\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.899, p=0.006\n", - "PER-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.899, p=0.006\n", - "PER-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.915, p=0.016\n", - "PER-People using at least basic drinking water services (% of population)\n", - "Statistical=0.845, p=0.000\n", - "PER-People using at least basic sanitation services (% of population)\n", - "Statistical=0.956, p=0.215\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-People using safely managed sanitation services (% of population)\n", - "Statistical=0.956, p=0.215\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Permanent cropland (% of land area)\n", - "Statistical=0.962, p=0.311\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Physicians (per 1,000 people)\n", - "Statistical=0.882, p=0.002\n", - "PER-Population ages 0-14 (% of total population)\n", - "Statistical=0.882, p=0.002\n", - "PER-Population ages 15-64 (% of total population)\n", - "Statistical=0.925, p=0.029\n", - "PER-Population ages 65 and above (% of total population)\n", - "Statistical=0.841, p=0.000\n", - "PER-Population density (people per sq. km of land area)\n", - "Statistical=0.964, p=0.355\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Population growth (annual %)\n", - "Statistical=0.882, p=0.002\n", - "PER-Population in largest city\n", - "Statistical=0.891, p=0.004\n", - "PER-Population in the largest city (% of urban population)\n", - "Statistical=0.820, p=0.000\n", - "PER-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.919, p=0.020\n", - "PER-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.961, p=0.299\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.899, p=0.006\n", - "PER-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.902, p=0.007\n", - "PER-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.915, p=0.016\n", - "PER-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.901, p=0.007\n", - "PER-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.901, p=0.007\n", - "PER-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.913, p=0.014\n", - "PER-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.845, p=0.000\n", - "PER-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.973, p=0.598\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.886, p=0.003\n", - "PER-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.886, p=0.003\n", - "PER-Prevalence of undernourishment (% of population)\n", - "Statistical=0.924, p=0.027\n", - "PER-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.974, p=0.625\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Primary income payments (BoP, current US$)\n", - "Statistical=0.855, p=0.001\n", - "PER-Primary income receipts (BoP, current US$)\n", - "Statistical=0.886, p=0.003\n", - "PER-Primary school starting age (years)\n", - "Statistical=0.896, p=0.005\n", - "PER-Private credit bureau coverage (% of adults)\n", - "Statistical=0.854, p=0.001\n", - "PER-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.901, p=0.007\n", - "PER-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.904, p=0.008\n", - "PER-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.913, p=0.014\n", - "PER-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.920, p=0.021\n", - "PER-Procedures to build a warehouse (number)\n", - "Statistical=0.956, p=0.206\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Procedures to register property (number)\n", - "Statistical=0.885, p=0.003\n", - "PER-Profit tax (% of commercial profits)\n", - "Statistical=0.885, p=0.003\n", - "PER-Progression to secondary school (%)\n", - "Statistical=0.892, p=0.004\n", - "PER-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.863, p=0.001\n", - "PER-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.871, p=0.001\n", - "PER-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.842, p=0.000\n", - "PER-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.827, p=0.000\n", - "PER-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.906, p=0.009\n", - "PER-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.866, p=0.001\n", - "PER-Public credit registry coverage (% of adults)\n", - "Statistical=0.856, p=0.001\n", - "PER-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.893, p=0.004\n", - "PER-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.851, p=0.000\n", - "PER-Rail lines (total route-km)\n", - "Statistical=0.985, p=0.928\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.916, p=0.016\n", - "PER-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.972, p=0.562\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Refugee population by country or territory of asylum\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Refugee population by country or territory of origin\n", - "Statistical=0.961, p=0.292\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.849, p=0.000\n", - "PER-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.849, p=0.000\n", - "PER-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.882, p=0.002\n", - "PER-Research and development expenditure (% of GDP)\n", - "Statistical=0.852, p=0.000\n", - "PER-Researchers in R&D (per million people)\n", - "Statistical=0.872, p=0.001\n", - "PER-Reserves and related items (BoP, current US$)\n", - "Statistical=0.933, p=0.048\n", - "PER-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.885, p=0.003\n", - "PER-Rural land area (sq. km)\n", - "Statistical=0.846, p=0.000\n", - "PER-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.933, p=0.049\n", - "PER-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.970, p=0.501\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Rural population\n", - "Statistical=0.858, p=0.001\n", - "PER-Rural population (% of total population)\n", - "Statistical=0.858, p=0.001\n", - "PER-Rural population growth (annual %)\n", - "Statistical=0.868, p=0.001\n", - "PER-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.845, p=0.000\n", - "PER-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.892, p=0.004\n", - "PER-Scientific and technical journal articles\n", - "Statistical=0.871, p=0.001\n", - "PER-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.879, p=0.002\n", - "PER-Secure Internet servers\n", - "Statistical=0.968, p=0.458\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Secure Internet servers (per 1 million people)\n", - "Statistical=0.863, p=0.001\n", - "PER-Service exports (BoP, current US$)\n", - "Statistical=0.862, p=0.001\n", - "PER-Service imports (BoP, current US$)\n", - "Statistical=0.908, p=0.010\n", - "PER-Sex ratio at birth (male births per female births)\n", - "Statistical=0.839, p=0.000\n", - "PER-Social contributions (% of revenue)\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.964, p=0.358\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Start-up procedures to register a business (number)\n", - "Statistical=0.962, p=0.315\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.895, p=0.005\n", - "PER-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.845, p=0.000\n", - "PER-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.889, p=0.003\n", - "PER-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.889, p=0.003\n", - "PER-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.909, p=0.011\n", - "PER-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.836, p=0.000\n", - "PER-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.742, p=0.000\n", - "PER-Surface area (sq. km)\n", - "Statistical=0.628, p=0.000\n", - "PER-Tax payments (number)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Tax revenue (% of GDP)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Taxes less subsidies on products (current US$)\n", - "Statistical=0.877, p=0.002\n", - "PER-Taxes on goods and services (% of revenue)\n", - "Statistical=0.877, p=0.002\n", - "PER-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.917, p=0.018\n", - "PER-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.844, p=0.000\n", - "PER-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.852, p=0.000\n", - "PER-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Time required to build a warehouse (days)\n", - "Statistical=0.877, p=0.002\n", - "PER-Time required to enforce a contract (days)\n", - "Statistical=0.881, p=0.002\n", - "PER-Time required to get electricity (days)\n", - "Statistical=0.926, p=0.031\n", - "PER-Time required to register property (days)\n", - "Statistical=0.917, p=0.018\n", - "PER-Time required to start a business (days)\n", - "Statistical=0.650, p=0.000\n", - "PER-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.646, p=0.000\n", - "PER-Time to obtain an electrical connection (days)\n", - "Statistical=0.609, p=0.000\n", - "PER-Time to prepare and pay taxes (hours)\n", - "Statistical=0.394, p=0.000\n", - "PER-Time to resolve insolvency (years)\n", - "Statistical=0.638, p=0.000\n", - "PER-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.598, p=0.000\n", - "PER-Total fisheries production (metric tons)\n", - "Statistical=0.544, p=0.000\n", - "PER-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.631, p=0.000\n", - "PER-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.388, p=0.000\n", - "PER-Total natural resources rents (% of GDP)\n", - "Statistical=0.873, p=0.001\n", - "PER-Total reserves (includes gold, current US$)\n", - "Statistical=0.914, p=0.014\n", - "PER-Total reserves in months of imports\n", - "Statistical=0.780, p=0.000\n", - "PER-Total reserves minus gold (current US$)\n", - "Statistical=0.956, p=0.216\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Total tax and contribution rate (% of profit)\n", - "Statistical=0.969, p=0.461\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Trade (% of GDP)\n", - "Statistical=0.817, p=0.000\n", - "PER-Trade in services (% of GDP)\n", - "Statistical=0.904, p=0.008\n", - "PER-Transport services (% of commercial service exports)\n", - "Statistical=0.863, p=0.001\n", - "PER-Transport services (% of commercial service imports)\n", - "Statistical=0.828, p=0.000\n", - "PER-Transport services (% of service exports, BoP)\n", - "Statistical=0.902, p=0.007\n", - "PER-Transport services (% of service imports, BoP)\n", - "Statistical=0.977, p=0.724\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Travel services (% of commercial service exports)\n", - "Statistical=0.833, p=0.000\n", - "PER-Travel services (% of commercial service imports)\n", - "Statistical=0.906, p=0.009\n", - "PER-Travel services (% of service exports, BoP)\n", - "Statistical=0.869, p=0.001\n", - "PER-Travel services (% of service imports, BoP)\n", - "Statistical=0.869, p=0.001\n", - "PER-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.889, p=0.003\n", - "PER-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.838, p=0.000\n", - "PER-UHC service coverage index\n", - "Statistical=0.837, p=0.000\n", - "PER-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.834, p=0.000\n", - "PER-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.899, p=0.006\n", - "PER-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.899, p=0.006\n", - "PER-Urban land area (sq. km)\n", - "Statistical=0.880, p=0.002\n", - "PER-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.916, p=0.017\n", - "PER-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.885, p=0.003\n", - "PER-Urban population\n", - "Statistical=0.850, p=0.000\n", - "PER-Urban population (% of total population)\n", - "Statistical=0.884, p=0.002\n", - "PER-Urban population growth (annual %)\n", - "Statistical=0.735, p=0.000\n", - "PER-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.735, p=0.000\n", - "PER-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.746, p=0.000\n", - "PER-GDP (current US$)+1\n", - "Statistical=0.746, p=0.000\n", - "PER-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-GDP (current US$)+2\n", - "Statistical=0.938, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-GDP (current US$)+3\n", - "Statistical=0.967, p=0.424\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-GDP (current US$)+5\n", - "Statistical=0.936, p=0.057\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-GDP (current US$)+8\n", - "Statistical=0.984, p=0.907\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-GDP (current US$)+13\n", - "Statistical=0.906, p=0.009\n", - "PER-GDP (current US$)+21\n", - "Statistical=0.906, p=0.009\n", - "PER-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.902, p=0.007\n", - "PER-Deposit interest rate (%)\n", - "Statistical=0.840, p=0.000\n", - "PER-Other taxes (% of revenue)\n", - "Statistical=0.890, p=0.004\n", - "PER-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.835, p=0.000\n", - "PER-Taxes on international trade (% of revenue)\n", - "Statistical=0.835, p=0.000\n", - "PER-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.798, p=0.000\n", - "PER-Broad money (% of GDP)\n", - "Statistical=0.974, p=0.619\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Broad money growth (annual %)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Broad money to total reserves ratio\n", - "Statistical=0.980, p=0.811\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.628, p=0.000\n", - "PER-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.844, p=0.000\n", - "PER-External health expenditure (% of current health expenditure)\n", - "Statistical=0.960, p=0.280\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-External health expenditure per capita (current US$)\n", - "Statistical=0.692, p=0.000\n", - "PER-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.848, p=0.000\n", - "PER-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.883, p=0.002\n", - "PER-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.964, p=0.349\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.852, p=0.000\n", - "PER-People practicing open defecation (% of population)\n", - "Statistical=0.818, p=0.000\n", - "PER-Taxes on exports (% of tax revenue)\n", - "Statistical=0.860, p=0.001\n", - "PER-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.803, p=0.000\n", - "PER-Country\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Year\n", - "Statistical=0.832, p=0.000\n", - "PER-Continent\n", - "Statistical=0.804, p=0.000\n", - "VEN-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Adjusted net national income (current US$)\n", - "Statistical=0.815, p=0.000\n", - "VEN-Adjusted net national income per capita (current US$)\n", - "Statistical=0.793, p=0.000\n", - "VEN-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.861, p=0.001\n", - "VEN-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.916, p=0.016\n", - "VEN-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.920, p=0.021\n", - "VEN-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.866, p=0.001\n", - "VEN-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.609, p=0.000\n", - "VEN-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.615, p=0.000\n", - "VEN-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.596, p=0.000\n", - "VEN-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.616, p=0.000\n", - "VEN-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.619, p=0.000\n", - "VEN-Age dependency ratio (% of working-age population)\n", - "Statistical=0.577, p=0.000\n", - "VEN-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.597, p=0.000\n", - "VEN-Agricultural land (% of land area)\n", - "Statistical=0.617, p=0.000\n", - "VEN-Agricultural land (sq. km)\n", - "Statistical=0.583, p=0.000\n", - "VEN-Agricultural methane emissions (% of total)\n", - "Statistical=0.794, p=0.000\n", - "VEN-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.864, p=0.001\n", - "VEN-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.850, p=0.000\n", - "VEN-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.922, p=0.024\n", - "VEN-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.810, p=0.000\n", - "VEN-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.924, p=0.026\n", - "VEN-Aquaculture production (metric tons)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Arable land (% of land area)\n", - "Statistical=0.810, p=0.000\n", - "VEN-Arable land (hectares per person)\n", - "Statistical=0.917, p=0.017\n", - "VEN-Arable land (hectares)\n", - "Statistical=0.861, p=0.001\n", - "VEN-Armed forces personnel (% of total labor force)\n", - "Statistical=0.917, p=0.017\n", - "VEN-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.858, p=0.001\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "VEN-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.877, p=0.002\n", - "VEN-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.918, p=0.018\n", - "VEN-Average precipitation in depth (mm per year)\n", - "Statistical=0.933, p=0.047\n", - "VEN-Average time to clear exports through customs (days)\n", - "Statistical=0.810, p=0.000\n", - "VEN-Births attended by skilled health staff (% of total)\n", - "Statistical=0.824, p=0.000\n", - "VEN-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.773, p=0.000\n", - "VEN-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.882, p=0.002\n", - "VEN-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.924, p=0.027\n", - "VEN-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.902, p=0.007\n", - "VEN-CO2 emissions (kt)\n", - "Statistical=0.864, p=0.001\n", - "VEN-CO2 emissions (metric tons per capita)\n", - "Statistical=0.790, p=0.000\n", - "VEN-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.884, p=0.002\n", - "VEN-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.907, p=0.010\n", - "VEN-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.794, p=0.000\n", - "VEN-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.921, p=0.022\n", - "VEN-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.812, p=0.000\n", - "VEN-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.850, p=0.000\n", - "VEN-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.863, p=0.001\n", - "VEN-Capture fisheries production (metric tons)\n", - "Statistical=0.838, p=0.000\n", - "VEN-Cereal production (metric tons)\n", - "Statistical=0.869, p=0.001\n", - "VEN-Cereal yield (kg per hectare)\n", - "Statistical=0.887, p=0.003\n", - "VEN-Changes in inventories (current US$)\n", - "Statistical=0.914, p=0.014\n", - "VEN-Chemicals (% of value added in manufacturing)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Children out of school (% of primary school age)\n", - "Statistical=0.810, p=0.000\n", - "VEN-Coal rents (% of GDP)\n", - "Statistical=0.810, p=0.000\n", - "VEN-Combustible renewables and waste (% of total energy)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Commercial bank branches (per 100,000 adults)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Commercial service exports (current US$)\n", - "Statistical=0.798, p=0.000\n", - "VEN-Commercial service imports (current US$)\n", - "Statistical=0.884, p=0.003\n", - "VEN-Completeness of birth registration (%)\n", - "Statistical=0.815, p=0.000\n", - "VEN-Consumer price index (2010 = 100)\n", - "Statistical=0.862, p=0.001\n", - "VEN-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.814, p=0.000\n", - "VEN-Crop production index (2014-2016 = 100)\n", - "Statistical=0.825, p=0.000\n", - "VEN-Current account balance (% of GDP)\n", - "Statistical=0.875, p=0.001\n", - "VEN-Current account balance (BoP, current US$)\n", - "Statistical=0.916, p=0.017\n", - "VEN-Current health expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Current health expenditure per capita (current US$)\n", - "Statistical=0.860, p=0.001\n", - "VEN-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.739, p=0.000\n", - "VEN-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.778, p=0.000\n", - "VEN-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.746, p=0.000\n", - "VEN-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.963, p=0.339\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.952, p=0.164\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.905, p=0.008\n", - "VEN-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.750, p=0.000\n", - "VEN-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.752, p=0.000\n", - "VEN-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.761, p=0.000\n", - "VEN-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.758, p=0.000\n", - "VEN-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.758, p=0.000\n", - "VEN-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.929, p=0.036\n", - "VEN-Electric power consumption (kWh per capita)\n", - "Statistical=0.654, p=0.000\n", - "VEN-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.876, p=0.002\n", - "VEN-Electricity production from coal sources (% of total)\n", - "Statistical=0.654, p=0.000\n", - "VEN-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.956, p=0.207\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.744, p=0.000\n", - "VEN-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.755, p=0.000\n", - "VEN-Electricity production from oil sources (% of total)\n", - "Statistical=0.790, p=0.000\n", - "VEN-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.712, p=0.000\n", - "VEN-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.678, p=0.000\n", - "VEN-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.638, p=0.000\n", - "VEN-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.965, p=0.366\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Export unit value index (2000 = 100)\n", - "Statistical=0.856, p=0.001\n", - "VEN-Export value index (2000 = 100)\n", - "Statistical=0.676, p=0.000\n", - "VEN-Export volume index (2000 = 100)\n", - "Statistical=0.819, p=0.000\n", - "VEN-Exports of goods and services (% of GDP)\n", - "Statistical=0.883, p=0.002\n", - "VEN-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.861, p=0.001\n", - "VEN-Exports of goods and services (current US$)\n", - "Statistical=0.743, p=0.000\n", - "VEN-External balance on goods and services (% of GDP)\n", - "Statistical=0.903, p=0.008\n", - "VEN-External balance on goods and services (current US$)\n", - "Statistical=0.767, p=0.000\n", - "VEN-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Final consumption expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Final consumption expenditure (current US$)\n", - "Statistical=0.815, p=0.000\n", - "VEN-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.962, p=0.310\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Firms offering formal training (% of firms)\n", - "Statistical=0.960, p=0.280\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.894, p=0.004\n", - "VEN-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.966, p=0.406\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.972, p=0.562\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Fixed broadband subscriptions\n", - "Statistical=0.955, p=0.196\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.978, p=0.743\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Fixed telephone subscriptions\n", - "Statistical=0.966, p=0.401\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.771, p=0.000\n", - "VEN-Food exports (% of merchandise exports)\n", - "Statistical=0.933, p=0.047\n", - "VEN-Food imports (% of merchandise imports)\n", - "Statistical=0.866, p=0.001\n", - "VEN-Food production index (2014-2016 = 100)\n", - "Statistical=0.925, p=0.029\n", - "VEN-Forest area (% of land area)\n", - "Statistical=0.921, p=0.022\n", - "VEN-Forest area (sq. km)\n", - "Statistical=0.894, p=0.004\n", - "VEN-Forest rents (% of GDP)\n", - "Statistical=0.948, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.834, p=0.000\n", - "VEN-Fuel exports (% of merchandise exports)\n", - "Statistical=0.873, p=0.001\n", - "VEN-Fuel imports (% of merchandise imports)\n", - "Statistical=0.849, p=0.000\n", - "VEN-GDP (current US$)\n", - "Statistical=0.904, p=0.008\n", - "VEN-GDP deflator (base year varies by country)\n", - "Statistical=0.932, p=0.044\n", - "VEN-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.742, p=0.000\n", - "VEN-GDP growth (annual %)\n", - "Statistical=0.885, p=0.003\n", - "VEN-GDP per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.592, p=0.000\n", - "VEN-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.790, p=0.000\n", - "VEN-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.845, p=0.000\n", - "VEN-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.838, p=0.000\n", - "VEN-GNI (current US$)\n", - "Statistical=0.805, p=0.000\n", - "VEN-GNI growth (annual %)\n", - "Statistical=0.873, p=0.001\n", - "VEN-GNI per capita growth (annual %)\n", - "Statistical=0.855, p=0.001\n", - "VEN-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.955, p=0.203\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-General government final consumption expenditure (current US$)\n", - "Statistical=0.933, p=0.049\n", - "VEN-Gini index\n", - "Statistical=0.915, p=0.015\n", - "VEN-Goods exports (BoP, current US$)\n", - "Statistical=0.745, p=0.000\n", - "VEN-Goods imports (BoP, current US$)\n", - "Statistical=0.906, p=0.009\n", - "VEN-Grants and other revenue (% of revenue)\n", - "Statistical=0.786, p=0.000\n", - "VEN-Gross capital formation (% of GDP)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Gross capital formation (current US$)\n", - "Statistical=0.858, p=0.001\n", - "VEN-Gross domestic savings (% of GDP)\n", - "Statistical=0.929, p=0.038\n", - "VEN-Gross domestic savings (current US$)\n", - "Statistical=0.903, p=0.008\n", - "VEN-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.779, p=0.000\n", - "VEN-Gross fixed capital formation (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Gross national expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.978, p=0.734\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Gross savings (% of GDP)\n", - "Statistical=0.899, p=0.006\n", - "VEN-Gross savings (current US$)\n", - "Statistical=0.638, p=0.000\n", - "VEN-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.921, p=0.023\n", - "VEN-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.729, p=0.000\n", - "VEN-High-technology exports (% of manufactured exports)\n", - "Statistical=0.556, p=0.000\n", - "VEN-High-technology exports (current US$)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Hospital beds (per 1,000 people)\n", - "Statistical=0.916, p=0.017\n", - "VEN-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.907, p=0.009\n", - "VEN-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.698, p=0.000\n", - "VEN-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.698, p=0.000\n", - "VEN-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.698, p=0.000\n", - "VEN-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.898, p=0.005\n", - "VEN-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.889, p=0.003\n", - "VEN-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.693, p=0.000\n", - "VEN-ICT goods exports (% of total goods exports)\n", - "Statistical=0.808, p=0.000\n", - "VEN-ICT goods imports (% total goods imports)\n", - "Statistical=0.645, p=0.000\n", - "VEN-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.864, p=0.001\n", - "VEN-ICT service exports (BoP, current US$)\n", - "Statistical=0.826, p=0.000\n", - "VEN-Import unit value index (2000 = 100)\n", - "Statistical=0.921, p=0.022\n", - "VEN-Import value index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Import volume index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Imports of goods and services (% of GDP)\n", - "Statistical=0.823, p=0.000\n", - "VEN-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.776, p=0.000\n", - "VEN-Imports of goods and services (current US$)\n", - "Statistical=0.790, p=0.000\n", - "VEN-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "VEN-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Income share held by highest 20%\n", - "Statistical=0.548, p=0.000\n", - "VEN-Income share held by lowest 10%\n", - "Statistical=0.872, p=0.001\n", - "VEN-Income share held by lowest 20%\n", - "Statistical=0.872, p=0.001\n", - "VEN-Income share held by second 20%\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Income share held by third 20%\n", - "Statistical=0.880, p=0.002\n", - "VEN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.758, p=0.000\n", - "VEN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.809, p=0.000\n", - "VEN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.906, p=0.009\n", - "VEN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.880, p=0.002\n", - "VEN-Individuals using the Internet (% of population)\n", - "Statistical=0.772, p=0.000\n", - "VEN-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.934, p=0.050\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.496, p=0.000\n", - "VEN-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.733, p=0.000\n", - "VEN-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.893, p=0.004\n", - "VEN-Intentional homicides (per 100,000 people)\n", - "Statistical=0.732, p=0.000\n", - "VEN-Interest payments (% of revenue)\n", - "Statistical=0.759, p=0.000\n", - "VEN-International migrant stock (% of population)\n", - "Statistical=0.759, p=0.000\n", - "VEN-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.759, p=0.000\n", - "VEN-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.769, p=0.000\n", - "VEN-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.716, p=0.000\n", - "VEN-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.736, p=0.000\n", - "VEN-Land area (sq. km)\n", - "Statistical=0.743, p=0.000\n", - "VEN-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.736, p=0.000\n", - "VEN-Land under cereal production (hectares)\n", - "Statistical=0.740, p=0.000\n", - "VEN-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.824, p=0.000\n", - "VEN-Lifetime risk of maternal death (%)\n", - "Statistical=0.869, p=0.001\n", - "VEN-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.919, p=0.020\n", - "VEN-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.872, p=0.001\n", - "VEN-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.919, p=0.020\n", - "VEN-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.886, p=0.003\n", - "VEN-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Low-birthweight babies (% of births)\n", - "Statistical=0.931, p=0.042\n", - "VEN-Lower secondary school starting age (years)\n", - "Statistical=0.902, p=0.007\n", - "VEN-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.960, p=0.281\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.900, p=0.006\n", - "VEN-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.952, p=0.167\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Marine protected areas (% of territorial waters)\n", - "Statistical=0.956, p=0.209\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.953, p=0.171\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.959, p=0.258\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.948, p=0.123\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.869, p=0.001\n", - "VEN-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.859, p=0.001\n", - "VEN-Merchandise exports (current US$)\n", - "Statistical=0.890, p=0.004\n", - "VEN-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.931, p=0.043\n", - "VEN-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.866, p=0.001\n", - "VEN-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.816, p=0.000\n", - "VEN-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.628, p=0.000\n", - "VEN-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.879, p=0.002\n", - "VEN-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.956, p=0.206\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.685, p=0.000\n", - "VEN-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.896, p=0.005\n", - "VEN-Merchandise imports (current US$)\n", - "Statistical=0.828, p=0.000\n", - "VEN-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.801, p=0.000\n", - "VEN-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.926, p=0.030\n", - "VEN-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.833, p=0.000\n", - "VEN-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.874, p=0.001\n", - "VEN-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.865, p=0.001\n", - "VEN-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.822, p=0.000\n", - "VEN-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.816, p=0.000\n", - "VEN-Merchandise trade (% of GDP)\n", - "Statistical=0.965, p=0.374\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Methane emissions (% change from 1990)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.891, p=0.004\n", - "VEN-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.770, p=0.000\n", - "VEN-Military expenditure (% of GDP)\n", - "Statistical=0.874, p=0.001\n", - "VEN-Military expenditure (% of general government expenditure)\n", - "Statistical=0.810, p=0.000\n", - "VEN-Military expenditure (current USD)\n", - "Statistical=0.894, p=0.004\n", - "VEN-Mineral rents (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Mobile cellular subscriptions\n", - "Statistical=0.899, p=0.006\n", - "VEN-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.902, p=0.007\n", - "VEN-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.827, p=0.000\n", - "VEN-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.842, p=0.000\n", - "VEN-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.829, p=0.000\n", - "VEN-Natural gas rents (% of GDP)\n", - "Statistical=0.932, p=0.045\n", - "VEN-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.925, p=0.028\n", - "VEN-Net capital account (BoP, current US$)\n", - "Statistical=0.902, p=0.007\n", - "VEN-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.898, p=0.006\n", - "VEN-Net financial account (BoP, current US$)\n", - "Statistical=0.884, p=0.002\n", - "VEN-Net migration\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Net primary income (BoP, current US$)\n", - "Statistical=0.796, p=0.000\n", - "VEN-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.755, p=0.000\n", - "VEN-Net secondary income (BoP, current US$)\n", - "Statistical=0.779, p=0.000\n", - "VEN-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.678, p=0.000\n", - "VEN-Net trade in goods (BoP, current US$)\n", - "Statistical=0.678, p=0.000\n", - "VEN-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.678, p=0.000\n", - "VEN-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.678, p=0.000\n", - "VEN-New businesses registered (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.774, p=0.000\n", - "VEN-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.782, p=0.000\n", - "VEN-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.886, p=0.003\n", - "VEN-Number of deaths ages 10-14 years\n", - "Statistical=0.875, p=0.002\n", - "VEN-Number of deaths ages 15-19 years\n", - "Statistical=0.811, p=0.000\n", - "VEN-Number of deaths ages 20-24 years\n", - "Statistical=0.907, p=0.010\n", - "VEN-Number of deaths ages 5-9 years\n", - "Statistical=0.966, p=0.394\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Number of infant deaths\n", - "Statistical=0.649, p=0.000\n", - "VEN-Number of maternal deaths\n", - "Statistical=0.934, p=0.050\n", - "VEN-Number of neonatal deaths\n", - "Statistical=0.862, p=0.001\n", - "VEN-Number of under-five deaths\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.953, p=0.174\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.894, p=0.004\n", - "VEN-Oil rents (% of GDP)\n", - "Statistical=0.933, p=0.048\n", - "VEN-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.933, p=0.048\n", - "VEN-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.828, p=0.000\n", - "VEN-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.972, p=0.558\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.885, p=0.003\n", - "VEN-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.819, p=0.000\n", - "VEN-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.836, p=0.000\n", - "VEN-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.758, p=0.000\n", - "VEN-People using at least basic drinking water services (% of population)\n", - "Statistical=0.816, p=0.000\n", - "VEN-People using at least basic sanitation services (% of population)\n", - "Statistical=0.775, p=0.000\n", - "VEN-People using safely managed sanitation services (% of population)\n", - "Statistical=0.775, p=0.000\n", - "VEN-Permanent cropland (% of land area)\n", - "Statistical=0.944, p=0.098\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Physicians (per 1,000 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Population ages 0-14 (% of total population)\n", - "Statistical=0.932, p=0.044\n", - "VEN-Population ages 15-64 (% of total population)\n", - "Statistical=0.765, p=0.000\n", - "VEN-Population ages 65 and above (% of total population)\n", - "Statistical=0.815, p=0.000\n", - "VEN-Population density (people per sq. km of land area)\n", - "Statistical=0.946, p=0.112\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Population in largest city\n", - "Statistical=0.793, p=0.000\n", - "VEN-Population in the largest city (% of urban population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.821, p=0.000\n", - "VEN-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.808, p=0.000\n", - "VEN-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.758, p=0.000\n", - "VEN-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Pregnant women receiving prenatal care (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.812, p=0.000\n", - "VEN-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.759, p=0.000\n", - "VEN-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.816, p=0.000\n", - "VEN-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.949, p=0.132\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Prevalence of current tobacco use (% of adults)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Prevalence of undernourishment (% of population)\n", - "Statistical=0.766, p=0.000\n", - "VEN-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.933, p=0.048\n", - "VEN-Primary income payments (BoP, current US$)\n", - "Statistical=0.785, p=0.000\n", - "VEN-Primary income receipts (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Primary school starting age (years)\n", - "Statistical=0.791, p=0.000\n", - "VEN-Private credit bureau coverage (% of adults)\n", - "Statistical=0.796, p=0.000\n", - "VEN-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.796, p=0.000\n", - "VEN-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.759, p=0.000\n", - "VEN-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.871, p=0.001\n", - "VEN-Procedures to build a warehouse (number)\n", - "Statistical=0.955, p=0.198\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Procedures to register property (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Profit tax (% of commercial profits)\n", - "Statistical=0.846, p=0.000\n", - "VEN-Progression to secondary school (%)\n", - "Statistical=0.764, p=0.000\n", - "VEN-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.825, p=0.000\n", - "VEN-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.654, p=0.000\n", - "VEN-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.818, p=0.000\n", - "VEN-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.817, p=0.000\n", - "VEN-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.929, p=0.037\n", - "VEN-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.446, p=0.000\n", - "VEN-Public credit registry coverage (% of adults)\n", - "Statistical=0.664, p=0.000\n", - "VEN-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.704, p=0.000\n", - "VEN-Pump price for gasoline (US$ per liter)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Rail lines (total route-km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Refugee population by country or territory of asylum\n", - "Statistical=0.913, p=0.013\n", - "VEN-Refugee population by country or territory of origin\n", - "Statistical=0.876, p=0.002\n", - "VEN-Renewable electricity output (% of total electricity output)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.757, p=0.000\n", - "VEN-Research and development expenditure (% of GDP)\n", - "Statistical=0.834, p=0.000\n", - "VEN-Researchers in R&D (per million people)\n", - "Statistical=0.908, p=0.010\n", - "VEN-Reserves and related items (BoP, current US$)\n", - "Statistical=0.898, p=0.006\n", - "VEN-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.792, p=0.000\n", - "VEN-Rural land area (sq. km)\n", - "Statistical=0.894, p=0.004\n", - "VEN-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.962, p=0.308\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.905, p=0.008\n", - "VEN-Rural population\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Rural population (% of total population)\n", - "Statistical=0.927, p=0.032\n", - "VEN-Rural population growth (annual %)\n", - "Statistical=0.767, p=0.000\n", - "VEN-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.835, p=0.000\n", - "VEN-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.890, p=0.004\n", - "VEN-Scientific and technical journal articles\n", - "Statistical=0.921, p=0.022\n", - "VEN-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.906, p=0.009\n", - "VEN-Secure Internet servers\n", - "Statistical=0.907, p=0.009\n", - "VEN-Secure Internet servers (per 1 million people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Service exports (BoP, current US$)\n", - "Statistical=0.823, p=0.000\n", - "VEN-Service imports (BoP, current US$)\n", - "Statistical=0.758, p=0.000\n", - "VEN-Sex ratio at birth (male births per female births)\n", - "Statistical=0.802, p=0.000\n", - "VEN-Social contributions (% of revenue)\n", - "Statistical=0.786, p=0.000\n", - "VEN-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.901, p=0.007\n", - "VEN-Start-up procedures to register a business (number)\n", - "Statistical=0.902, p=0.007\n", - "VEN-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.852, p=0.000\n", - "VEN-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.883, p=0.002\n", - "VEN-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.834, p=0.000\n", - "VEN-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.758, p=0.000\n", - "VEN-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.814, p=0.000\n", - "VEN-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.799, p=0.000\n", - "VEN-Suicide mortality rate (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Surface area (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Tax payments (number)\n", - "Statistical=0.726, p=0.000\n", - "VEN-Tax revenue (% of GDP)\n", - "Statistical=0.876, p=0.002\n", - "VEN-Taxes less subsidies on products (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Taxes on goods and services (% of revenue)\n", - "Statistical=0.785, p=0.000\n", - "VEN-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.753, p=0.000\n", - "VEN-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.773, p=0.000\n", - "VEN-Terrestrial protected areas (% of total land area)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Time required to build a warehouse (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Time required to enforce a contract (days)\n", - "Statistical=0.625, p=0.000\n", - "VEN-Time required to get electricity (days)\n", - "Statistical=0.904, p=0.008\n", - "VEN-Time required to register property (days)\n", - "Statistical=0.753, p=0.000\n", - "VEN-Time required to start a business (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Time to obtain an electrical connection (days)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Time to prepare and pay taxes (hours)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Time to resolve insolvency (years)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Total fisheries production (metric tons)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Total natural resources rents (% of GDP)\n", - "Statistical=0.866, p=0.001\n", - "VEN-Total reserves (includes gold, current US$)\n", - "Statistical=0.879, p=0.002\n", - "VEN-Total reserves in months of imports\n", - "Statistical=0.953, p=0.171\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Total reserves minus gold (current US$)\n", - "Statistical=0.972, p=0.550\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Total tax and contribution rate (% of profit)\n", - "Statistical=0.957, p=0.231\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Trade (% of GDP)\n", - "Statistical=0.800, p=0.000\n", - "VEN-Trade in services (% of GDP)\n", - "Statistical=0.930, p=0.038\n", - "VEN-Transport services (% of commercial service exports)\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Transport services (% of commercial service imports)\n", - "Statistical=0.819, p=0.000\n", - "VEN-Transport services (% of service exports, BoP)\n", - "Statistical=0.809, p=0.000\n", - "VEN-Transport services (% of service imports, BoP)\n", - "Statistical=0.863, p=0.001\n", - "VEN-Travel services (% of commercial service exports)\n", - "Statistical=0.832, p=0.000\n", - "VEN-Travel services (% of commercial service imports)\n", - "Statistical=0.870, p=0.001\n", - "VEN-Travel services (% of service exports, BoP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Travel services (% of service imports, BoP)\n", - "Statistical=0.884, p=0.003\n", - "VEN-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.764, p=0.000\n", - "VEN-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.792, p=0.000\n", - "VEN-UHC service coverage index\n", - "Statistical=0.853, p=0.000\n", - "VEN-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.817, p=0.000\n", - "VEN-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.731, p=0.000\n", - "VEN-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.744, p=0.000\n", - "VEN-Urban land area (sq. km)\n", - "Statistical=0.791, p=0.000\n", - "VEN-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.821, p=0.000\n", - "VEN-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.874, p=0.001\n", - "VEN-Urban population\n", - "Statistical=0.773, p=0.000\n", - "VEN-Urban population (% of total population)\n", - "Statistical=0.735, p=0.000\n", - "VEN-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-GDP (current US$)+1\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-GDP (current US$)+2\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-GDP (current US$)+3\n", - "Statistical=0.177, p=0.000\n", - "VEN-GDP (current US$)+5\n", - "Statistical=0.917, p=0.018\n", - "VEN-GDP (current US$)+8\n", - "Statistical=0.958, p=0.237\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-GDP (current US$)+13\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-GDP (current US$)+21\n", - "Statistical=0.947, p=0.116\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.760, p=0.000\n", - "VEN-Deposit interest rate (%)\n", - "Statistical=0.802, p=0.000\n", - "VEN-Other taxes (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.929, p=0.037\n", - "VEN-Taxes on international trade (% of revenue)\n", - "Statistical=0.929, p=0.037\n", - "VEN-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.575, p=0.000\n", - "VEN-Broad money (% of GDP)\n", - "Statistical=0.827, p=0.000\n", - "VEN-Broad money growth (annual %)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Broad money to total reserves ratio\n", - "Statistical=0.823, p=0.000\n", - "VEN-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.952, p=0.164\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-External health expenditure (% of current health expenditure)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-External health expenditure per capita (current US$)\n", - "Statistical=0.513, p=0.000\n", - "VEN-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.811, p=0.000\n", - "VEN-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.765, p=0.000\n", - "VEN-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.880, p=0.002\n", - "VEN-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.900, p=0.006\n", - "VEN-People practicing open defecation (% of population)\n", - "Statistical=0.920, p=0.021\n", - "VEN-Taxes on exports (% of tax revenue)\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "VEN-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.911, p=0.012\n", - "VEN-Country\n", - "Statistical=0.921, p=0.023\n", - "VEN-Year\n", - "Statistical=0.909, p=0.011\n", - "VEN-Continent\n", - "Statistical=0.910, p=0.011\n", - "COL-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Adjusted net national income (current US$)\n", - "Statistical=0.855, p=0.001\n", - "COL-Adjusted net national income per capita (current US$)\n", - "Statistical=0.804, p=0.000\n", - "COL-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.839, p=0.000\n", - "COL-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.968, p=0.451\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.977, p=0.699\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.914, p=0.014\n", - "COL-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.618, p=0.000\n", - "COL-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.615, p=0.000\n", - "COL-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.620, p=0.000\n", - "COL-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.611, p=0.000\n", - "COL-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.615, p=0.000\n", - "COL-Age dependency ratio (% of working-age population)\n", - "Statistical=0.578, p=0.000\n", - "COL-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.620, p=0.000\n", - "COL-Agricultural land (% of land area)\n", - "Statistical=0.620, p=0.000\n", - "COL-Agricultural land (sq. km)\n", - "Statistical=0.620, p=0.000\n", - "COL-Agricultural methane emissions (% of total)\n", - "Statistical=0.718, p=0.000\n", - "COL-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.900, p=0.006\n", - "COL-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.967, p=0.409\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.884, p=0.002\n", - "COL-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.860, p=0.001\n", - "COL-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.967, p=0.415\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Aquaculture production (metric tons)\n", - "Statistical=0.868, p=0.001\n", - "COL-Arable land (% of land area)\n", - "Statistical=0.880, p=0.002\n", - "COL-Arable land (hectares per person)\n", - "Statistical=0.973, p=0.574\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Arable land (hectares)\n", - "Statistical=0.947, p=0.116\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Armed forces personnel (% of total labor force)\n", - "Statistical=0.981, p=0.840\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.951, p=0.152\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.962, p=0.315\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.846, p=0.000\n", - "COL-Average precipitation in depth (mm per year)\n", - "Statistical=0.944, p=0.097\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Average time to clear exports through customs (days)\n", - "Statistical=0.881, p=0.002\n", - "COL-Births attended by skilled health staff (% of total)\n", - "Statistical=0.914, p=0.014\n", - "COL-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.892, p=0.004\n", - "COL-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.969, p=0.474\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.860, p=0.001\n", - "COL-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.959, p=0.265\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-CO2 emissions (kt)\n", - "Statistical=0.842, p=0.000\n", - "COL-CO2 emissions (metric tons per capita)\n", - "Statistical=0.799, p=0.000\n", - "COL-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.963, p=0.324\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.957, p=0.225\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.929, p=0.037\n", - "COL-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.883, p=0.002\n", - "COL-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.962, p=0.320\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.871, p=0.001\n", - "COL-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.757, p=0.000\n", - "COL-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.745, p=0.000\n", - "COL-Capture fisheries production (metric tons)\n", - "Statistical=0.771, p=0.000\n", - "COL-Cereal production (metric tons)\n", - "Statistical=0.916, p=0.016\n", - "COL-Cereal yield (kg per hectare)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Changes in inventories (current US$)\n", - "Statistical=0.929, p=0.038\n", - "COL-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.596, p=0.000\n", - "COL-Children out of school (% of primary school age)\n", - "Statistical=0.802, p=0.000\n", - "COL-Coal rents (% of GDP)\n", - "Statistical=0.802, p=0.000\n", - "COL-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.485, p=0.000\n", - "COL-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.537, p=0.000\n", - "COL-Commercial service exports (current US$)\n", - "Statistical=0.811, p=0.000\n", - "COL-Commercial service imports (current US$)\n", - "Statistical=0.946, p=0.107\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Completeness of birth registration (%)\n", - "Statistical=0.809, p=0.000\n", - "COL-Consumer price index (2010 = 100)\n", - "Statistical=0.917, p=0.017\n", - "COL-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.956, p=0.207\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Crop production index (2014-2016 = 100)\n", - "Statistical=0.895, p=0.005\n", - "COL-Current account balance (% of GDP)\n", - "Statistical=0.821, p=0.000\n", - "COL-Current account balance (BoP, current US$)\n", - "Statistical=0.977, p=0.693\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Current health expenditure (% of GDP)\n", - "Statistical=0.911, p=0.012\n", - "COL-Current health expenditure per capita (current US$)\n", - "Statistical=0.911, p=0.012\n", - "COL-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.922, p=0.024\n", - "COL-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.874, p=0.001\n", - "COL-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.888, p=0.003\n", - "COL-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.795, p=0.000\n", - "COL-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "COL-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.961, p=0.294\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.804, p=0.000\n", - "COL-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.775, p=0.000\n", - "COL-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.803, p=0.000\n", - "COL-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.800, p=0.000\n", - "COL-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.800, p=0.000\n", - "COL-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.953, p=0.179\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Electric power consumption (kWh per capita)\n", - "Statistical=0.889, p=0.003\n", - "COL-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.862, p=0.001\n", - "COL-Electricity production from coal sources (% of total)\n", - "Statistical=0.889, p=0.003\n", - "COL-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.882, p=0.002\n", - "COL-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.872, p=0.001\n", - "COL-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.890, p=0.003\n", - "COL-Electricity production from oil sources (% of total)\n", - "Statistical=0.904, p=0.008\n", - "COL-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.702, p=0.000\n", - "COL-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.723, p=0.000\n", - "COL-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.724, p=0.000\n", - "COL-Energy related methane emissions (% of total)\n", - "Statistical=0.657, p=0.000\n", - "COL-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.907, p=0.009\n", - "COL-Export unit value index (2000 = 100)\n", - "Statistical=0.876, p=0.002\n", - "COL-Export value index (2000 = 100)\n", - "Statistical=0.680, p=0.000\n", - "COL-Export volume index (2000 = 100)\n", - "Statistical=0.829, p=0.000\n", - "COL-Exports of goods and services (% of GDP)\n", - "Statistical=0.884, p=0.003\n", - "COL-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.917, p=0.017\n", - "COL-Exports of goods and services (current US$)\n", - "Statistical=0.854, p=0.001\n", - "COL-External balance on goods and services (% of GDP)\n", - "Statistical=0.930, p=0.040\n", - "COL-External balance on goods and services (current US$)\n", - "Statistical=0.981, p=0.841\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.857, p=0.001\n", - "COL-Final consumption expenditure (% of GDP)\n", - "Statistical=0.857, p=0.001\n", - "COL-Final consumption expenditure (current US$)\n", - "Statistical=0.878, p=0.002\n", - "COL-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.879, p=0.002\n", - "COL-Firms offering formal training (% of firms)\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.925, p=0.029\n", - "COL-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.969, p=0.476\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.854, p=0.001\n", - "COL-Fixed broadband subscriptions\n", - "Statistical=0.959, p=0.259\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.893, p=0.004\n", - "COL-Fixed telephone subscriptions\n", - "Statistical=0.848, p=0.000\n", - "COL-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.749, p=0.000\n", - "COL-Food exports (% of merchandise exports)\n", - "Statistical=0.889, p=0.003\n", - "COL-Food imports (% of merchandise imports)\n", - "Statistical=0.956, p=0.213\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Food production index (2014-2016 = 100)\n", - "Statistical=0.892, p=0.004\n", - "COL-Forest area (% of land area)\n", - "Statistical=0.921, p=0.023\n", - "COL-Forest area (sq. km)\n", - "Statistical=0.896, p=0.005\n", - "COL-Forest rents (% of GDP)\n", - "Statistical=0.947, p=0.120\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.649, p=0.000\n", - "COL-Fuel exports (% of merchandise exports)\n", - "Statistical=0.841, p=0.000\n", - "COL-Fuel imports (% of merchandise imports)\n", - "Statistical=0.841, p=0.000\n", - "COL-GDP (current US$)\n", - "Statistical=0.964, p=0.342\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-GDP deflator (base year varies by country)\n", - "Statistical=0.931, p=0.042\n", - "COL-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.956, p=0.214\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-GDP growth (annual %)\n", - "Statistical=0.933, p=0.046\n", - "COL-GDP per capita (current US$)\n", - "Statistical=0.773, p=0.000\n", - "COL-GDP per capita growth (annual %)\n", - "Statistical=0.826, p=0.000\n", - "COL-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.943, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.931, p=0.042\n", - "COL-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.924, p=0.026\n", - "COL-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-GNI (current US$)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-GNI growth (annual %)\n", - "Statistical=0.889, p=0.003\n", - "COL-GNI per capita growth (annual %)\n", - "Statistical=0.927, p=0.033\n", - "COL-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.962, p=0.316\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-General government final consumption expenditure (current US$)\n", - "Statistical=0.850, p=0.000\n", - "COL-Gini index\n", - "Statistical=0.963, p=0.335\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Goods exports (BoP, current US$)\n", - "Statistical=0.879, p=0.002\n", - "COL-Goods imports (BoP, current US$)\n", - "Statistical=0.834, p=0.000\n", - "COL-Grants and other revenue (% of revenue)\n", - "Statistical=0.736, p=0.000\n", - "COL-Gross capital formation (% of GDP)\n", - "Statistical=0.851, p=0.000\n", - "COL-Gross capital formation (current US$)\n", - "Statistical=0.854, p=0.001\n", - "COL-Gross domestic savings (% of GDP)\n", - "Statistical=0.930, p=0.038\n", - "COL-Gross domestic savings (current US$)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.704, p=0.000\n", - "COL-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Gross national expenditure (current US$)\n", - "Statistical=0.511, p=0.000\n", - "COL-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.928, p=0.035\n", - "COL-Gross savings (% of GDP)\n", - "Statistical=0.927, p=0.032\n", - "COL-Gross savings (current US$)\n", - "Statistical=0.957, p=0.234\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.823, p=0.000\n", - "COL-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.857, p=0.001\n", - "COL-High-technology exports (% of manufactured exports)\n", - "Statistical=0.899, p=0.006\n", - "COL-High-technology exports (current US$)\n", - "Statistical=0.921, p=0.022\n", - "COL-Hospital beds (per 1,000 people)\n", - "Statistical=0.905, p=0.008\n", - "COL-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.891, p=0.004\n", - "COL-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.785, p=0.000\n", - "COL-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.785, p=0.000\n", - "COL-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.785, p=0.000\n", - "COL-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.898, p=0.006\n", - "COL-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.945, p=0.105\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.893, p=0.004\n", - "COL-ICT goods exports (% of total goods exports)\n", - "Statistical=0.889, p=0.003\n", - "COL-ICT goods imports (% total goods imports)\n", - "Statistical=0.797, p=0.000\n", - "COL-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.818, p=0.000\n", - "COL-ICT service exports (BoP, current US$)\n", - "Statistical=0.791, p=0.000\n", - "COL-Import unit value index (2000 = 100)\n", - "Statistical=0.825, p=0.000\n", - "COL-Import value index (2000 = 100)\n", - "Statistical=0.825, p=0.000\n", - "COL-Import volume index (2000 = 100)\n", - "Statistical=0.860, p=0.001\n", - "COL-Imports of goods and services (% of GDP)\n", - "Statistical=0.964, p=0.360\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.896, p=0.005\n", - "COL-Imports of goods and services (current US$)\n", - "Statistical=0.798, p=0.000\n", - "COL-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "COL-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Income share held by lowest 10%\n", - "Statistical=0.921, p=0.022\n", - "COL-Income share held by lowest 20%\n", - "Statistical=0.921, p=0.022\n", - "COL-Income share held by second 20%\n", - "Statistical=0.833, p=0.000\n", - "COL-Income share held by third 20%\n", - "Statistical=0.927, p=0.033\n", - "COL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.859, p=0.001\n", - "COL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.785, p=0.000\n", - "COL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.827, p=0.000\n", - "COL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.923, p=0.025\n", - "COL-Individuals using the Internet (% of population)\n", - "Statistical=0.809, p=0.000\n", - "COL-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.817, p=0.000\n", - "COL-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.490, p=0.000\n", - "COL-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.806, p=0.000\n", - "COL-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.804, p=0.000\n", - "COL-Intentional homicides (per 100,000 people)\n", - "Statistical=0.881, p=0.002\n", - "COL-Interest payments (% of revenue)\n", - "Statistical=0.739, p=0.000\n", - "COL-International migrant stock (% of population)\n", - "Statistical=0.746, p=0.000\n", - "COL-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.741, p=0.000\n", - "COL-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.789, p=0.000\n", - "COL-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.882, p=0.002\n", - "COL-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.921, p=0.022\n", - "COL-Land area (sq. km)\n", - "Statistical=0.788, p=0.000\n", - "COL-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.797, p=0.000\n", - "COL-Land under cereal production (hectares)\n", - "Statistical=0.909, p=0.011\n", - "COL-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.833, p=0.000\n", - "COL-Lifetime risk of maternal death (%)\n", - "Statistical=0.864, p=0.001\n", - "COL-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.898, p=0.006\n", - "COL-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.922, p=0.024\n", - "COL-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.926, p=0.030\n", - "COL-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.862, p=0.001\n", - "COL-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.919, p=0.019\n", - "COL-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.820, p=0.000\n", - "COL-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.798, p=0.000\n", - "COL-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.914, p=0.014\n", - "COL-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.926, p=0.030\n", - "COL-Low-birthweight babies (% of births)\n", - "Statistical=0.891, p=0.004\n", - "COL-Lower secondary school starting age (years)\n", - "Statistical=0.883, p=0.002\n", - "COL-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.949, p=0.132\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.853, p=0.000\n", - "COL-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.889, p=0.003\n", - "COL-Marine protected areas (% of territorial waters)\n", - "Statistical=0.943, p=0.093\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.840, p=0.000\n", - "COL-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.925, p=0.028\n", - "COL-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.932, p=0.045\n", - "COL-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.901, p=0.007\n", - "COL-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Merchandise exports (current US$)\n", - "Statistical=0.968, p=0.446\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.954, p=0.189\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.974, p=0.631\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.909, p=0.011\n", - "COL-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.968, p=0.438\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.931, p=0.041\n", - "COL-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.967, p=0.418\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.918, p=0.019\n", - "COL-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.902, p=0.007\n", - "COL-Merchandise imports (current US$)\n", - "Statistical=0.875, p=0.001\n", - "COL-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.799, p=0.000\n", - "COL-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.899, p=0.006\n", - "COL-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.872, p=0.001\n", - "COL-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.913, p=0.013\n", - "COL-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.881, p=0.002\n", - "COL-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.884, p=0.002\n", - "COL-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.877, p=0.002\n", - "COL-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.883, p=0.002\n", - "COL-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.953, p=0.176\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.877, p=0.002\n", - "COL-Merchandise trade (% of GDP)\n", - "Statistical=0.976, p=0.678\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Methane emissions (% change from 1990)\n", - "Statistical=0.918, p=0.019\n", - "COL-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.918, p=0.019\n", - "COL-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.898, p=0.006\n", - "COL-Military expenditure (% of GDP)\n", - "Statistical=0.886, p=0.003\n", - "COL-Military expenditure (% of general government expenditure)\n", - "Statistical=0.874, p=0.001\n", - "COL-Military expenditure (current USD)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Mineral rents (% of GDP)\n", - "Statistical=0.438, p=0.000\n", - "COL-Mobile cellular subscriptions\n", - "Statistical=0.828, p=0.000\n", - "COL-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.880, p=0.002\n", - "COL-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.777, p=0.000\n", - "COL-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.763, p=0.000\n", - "COL-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.798, p=0.000\n", - "COL-Natural gas rents (% of GDP)\n", - "Statistical=0.901, p=0.007\n", - "COL-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Net capital account (BoP, current US$)\n", - "Statistical=0.834, p=0.000\n", - "COL-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.962, p=0.310\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Net financial account (BoP, current US$)\n", - "Statistical=0.962, p=0.313\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Net migration\n", - "Statistical=0.909, p=0.010\n", - "COL-Net primary income (BoP, current US$)\n", - "Statistical=0.909, p=0.010\n", - "COL-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.907, p=0.009\n", - "COL-Net secondary income (BoP, current US$)\n", - "Statistical=0.880, p=0.002\n", - "COL-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.660, p=0.000\n", - "COL-Net trade in goods (BoP, current US$)\n", - "Statistical=0.698, p=0.000\n", - "COL-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.703, p=0.000\n", - "COL-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.786, p=0.000\n", - "COL-New businesses registered (number)\n", - "Statistical=0.726, p=0.000\n", - "COL-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.780, p=0.000\n", - "COL-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.781, p=0.000\n", - "COL-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.754, p=0.000\n", - "COL-Number of deaths ages 10-14 years\n", - "Statistical=0.890, p=0.003\n", - "COL-Number of deaths ages 15-19 years\n", - "Statistical=0.904, p=0.008\n", - "COL-Number of deaths ages 20-24 years\n", - "Statistical=0.970, p=0.486\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Number of deaths ages 5-9 years\n", - "Statistical=0.900, p=0.006\n", - "COL-Number of infant deaths\n", - "Statistical=0.905, p=0.008\n", - "COL-Number of maternal deaths\n", - "Statistical=0.907, p=0.010\n", - "COL-Number of neonatal deaths\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Number of under-five deaths\n", - "Statistical=0.894, p=0.004\n", - "COL-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.943, p=0.093\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.858, p=0.001\n", - "COL-Oil rents (% of GDP)\n", - "Statistical=0.954, p=0.185\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.954, p=0.185\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.926, p=0.030\n", - "COL-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.785, p=0.000\n", - "COL-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.899, p=0.006\n", - "COL-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.900, p=0.006\n", - "COL-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.900, p=0.006\n", - "COL-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.906, p=0.009\n", - "COL-People using at least basic drinking water services (% of population)\n", - "Statistical=0.880, p=0.002\n", - "COL-People using at least basic sanitation services (% of population)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-People using safely managed sanitation services (% of population)\n", - "Statistical=0.949, p=0.131\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Permanent cropland (% of land area)\n", - "Statistical=0.975, p=0.653\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Physicians (per 1,000 people)\n", - "Statistical=0.876, p=0.002\n", - "COL-Population ages 0-14 (% of total population)\n", - "Statistical=0.876, p=0.002\n", - "COL-Population ages 15-64 (% of total population)\n", - "Statistical=0.917, p=0.017\n", - "COL-Population ages 65 and above (% of total population)\n", - "Statistical=0.896, p=0.005\n", - "COL-Population density (people per sq. km of land area)\n", - "Statistical=0.970, p=0.495\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Population growth (annual %)\n", - "Statistical=0.876, p=0.002\n", - "COL-Population in largest city\n", - "Statistical=0.899, p=0.006\n", - "COL-Population in the largest city (% of urban population)\n", - "Statistical=0.946, p=0.110\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.878, p=0.002\n", - "COL-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.880, p=0.002\n", - "COL-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.900, p=0.006\n", - "COL-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.905, p=0.008\n", - "COL-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.908, p=0.010\n", - "COL-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.902, p=0.007\n", - "COL-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.902, p=0.007\n", - "COL-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.905, p=0.008\n", - "COL-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.880, p=0.002\n", - "COL-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.952, p=0.169\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.886, p=0.003\n", - "COL-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.886, p=0.003\n", - "COL-Prevalence of undernourishment (% of population)\n", - "Statistical=0.917, p=0.017\n", - "COL-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.947, p=0.118\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Primary income payments (BoP, current US$)\n", - "Statistical=0.892, p=0.004\n", - "COL-Primary income receipts (BoP, current US$)\n", - "Statistical=0.886, p=0.003\n", - "COL-Primary school starting age (years)\n", - "Statistical=0.900, p=0.006\n", - "COL-Private credit bureau coverage (% of adults)\n", - "Statistical=0.875, p=0.001\n", - "COL-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.902, p=0.007\n", - "COL-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.905, p=0.008\n", - "COL-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.907, p=0.009\n", - "COL-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.960, p=0.277\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Procedures to build a warehouse (number)\n", - "Statistical=0.965, p=0.381\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Procedures to register property (number)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Profit tax (% of commercial profits)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Progression to secondary school (%)\n", - "Statistical=0.908, p=0.010\n", - "COL-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.899, p=0.006\n", - "COL-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.965, p=0.376\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.883, p=0.002\n", - "COL-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.879, p=0.002\n", - "COL-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.923, p=0.024\n", - "COL-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.898, p=0.006\n", - "COL-Public credit registry coverage (% of adults)\n", - "Statistical=0.906, p=0.009\n", - "COL-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.865, p=0.001\n", - "COL-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.866, p=0.001\n", - "COL-Rail lines (total route-km)\n", - "Statistical=0.879, p=0.002\n", - "COL-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.823, p=0.000\n", - "COL-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.834, p=0.000\n", - "COL-Refugee population by country or territory of asylum\n", - "Statistical=0.974, p=0.607\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Refugee population by country or territory of origin\n", - "Statistical=0.969, p=0.470\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.913, p=0.014\n", - "COL-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.913, p=0.014\n", - "COL-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.885, p=0.003\n", - "COL-Research and development expenditure (% of GDP)\n", - "Statistical=0.892, p=0.004\n", - "COL-Researchers in R&D (per million people)\n", - "Statistical=0.883, p=0.002\n", - "COL-Reserves and related items (BoP, current US$)\n", - "Statistical=0.962, p=0.310\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.874, p=0.001\n", - "COL-Rural land area (sq. km)\n", - "Statistical=0.857, p=0.001\n", - "COL-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.926, p=0.031\n", - "COL-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.954, p=0.187\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Rural population\n", - "Statistical=0.899, p=0.006\n", - "COL-Rural population (% of total population)\n", - "Statistical=0.899, p=0.006\n", - "COL-Rural population growth (annual %)\n", - "Statistical=0.889, p=0.003\n", - "COL-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.882, p=0.002\n", - "COL-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.904, p=0.008\n", - "COL-Scientific and technical journal articles\n", - "Statistical=0.910, p=0.011\n", - "COL-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.923, p=0.025\n", - "COL-Secure Internet servers\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Secure Internet servers (per 1 million people)\n", - "Statistical=0.897, p=0.005\n", - "COL-Service exports (BoP, current US$)\n", - "Statistical=0.897, p=0.005\n", - "COL-Service imports (BoP, current US$)\n", - "Statistical=0.904, p=0.008\n", - "COL-Sex ratio at birth (male births per female births)\n", - "Statistical=0.880, p=0.002\n", - "COL-Social contributions (% of revenue)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Start-up procedures to register a business (number)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.886, p=0.003\n", - "COL-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.862, p=0.001\n", - "COL-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.902, p=0.007\n", - "COL-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.902, p=0.007\n", - "COL-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.906, p=0.009\n", - "COL-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.881, p=0.002\n", - "COL-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.728, p=0.000\n", - "COL-Surface area (sq. km)\n", - "Statistical=0.730, p=0.000\n", - "COL-Tax payments (number)\n", - "Statistical=0.951, p=0.151\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Tax revenue (% of GDP)\n", - "Statistical=0.975, p=0.646\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Taxes less subsidies on products (current US$)\n", - "Statistical=0.889, p=0.003\n", - "COL-Taxes on goods and services (% of revenue)\n", - "Statistical=0.889, p=0.003\n", - "COL-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.906, p=0.009\n", - "COL-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.877, p=0.002\n", - "COL-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.858, p=0.001\n", - "COL-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.975, p=0.646\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Time required to build a warehouse (days)\n", - "Statistical=0.889, p=0.003\n", - "COL-Time required to enforce a contract (days)\n", - "Statistical=0.886, p=0.003\n", - "COL-Time required to get electricity (days)\n", - "Statistical=0.954, p=0.187\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Time required to register property (days)\n", - "Statistical=0.907, p=0.009\n", - "COL-Time required to start a business (days)\n", - "Statistical=0.631, p=0.000\n", - "COL-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.404, p=0.000\n", - "COL-Time to obtain an electrical connection (days)\n", - "Statistical=0.603, p=0.000\n", - "COL-Time to prepare and pay taxes (hours)\n", - "Statistical=0.625, p=0.000\n", - "COL-Time to resolve insolvency (years)\n", - "Statistical=0.605, p=0.000\n", - "COL-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.523, p=0.000\n", - "COL-Total fisheries production (metric tons)\n", - "Statistical=0.778, p=0.000\n", - "COL-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.694, p=0.000\n", - "COL-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.649, p=0.000\n", - "COL-Total natural resources rents (% of GDP)\n", - "Statistical=0.854, p=0.001\n", - "COL-Total reserves (includes gold, current US$)\n", - "Statistical=0.876, p=0.002\n", - "COL-Total reserves in months of imports\n", - "Statistical=0.873, p=0.001\n", - "COL-Total reserves minus gold (current US$)\n", - "Statistical=0.869, p=0.001\n", - "COL-Total tax and contribution rate (% of profit)\n", - "Statistical=0.905, p=0.008\n", - "COL-Trade (% of GDP)\n", - "Statistical=0.816, p=0.000\n", - "COL-Trade in services (% of GDP)\n", - "Statistical=0.856, p=0.001\n", - "COL-Transport services (% of commercial service exports)\n", - "Statistical=0.874, p=0.001\n", - "COL-Transport services (% of commercial service imports)\n", - "Statistical=0.887, p=0.003\n", - "COL-Transport services (% of service exports, BoP)\n", - "Statistical=0.872, p=0.001\n", - "COL-Transport services (% of service imports, BoP)\n", - "Statistical=0.920, p=0.021\n", - "COL-Travel services (% of commercial service exports)\n", - "Statistical=0.873, p=0.001\n", - "COL-Travel services (% of commercial service imports)\n", - "Statistical=0.979, p=0.766\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Travel services (% of service exports, BoP)\n", - "Statistical=0.897, p=0.005\n", - "COL-Travel services (% of service imports, BoP)\n", - "Statistical=0.897, p=0.005\n", - "COL-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.900, p=0.006\n", - "COL-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.890, p=0.004\n", - "COL-UHC service coverage index\n", - "Statistical=0.866, p=0.001\n", - "COL-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.830, p=0.000\n", - "COL-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.950, p=0.145\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.958, p=0.243\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Urban land area (sq. km)\n", - "Statistical=0.976, p=0.688\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.807, p=0.000\n", - "COL-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.912, p=0.012\n", - "COL-Urban population\n", - "Statistical=0.966, p=0.404\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Urban population (% of total population)\n", - "Statistical=0.964, p=0.351\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Urban population growth (annual %)\n", - "Statistical=0.675, p=0.000\n", - "COL-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.675, p=0.000\n", - "COL-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.692, p=0.000\n", - "COL-GDP (current US$)+1\n", - "Statistical=0.692, p=0.000\n", - "COL-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-GDP (current US$)+2\n", - "Statistical=0.977, p=0.702\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-GDP (current US$)+3\n", - "Statistical=0.862, p=0.001\n", - "COL-GDP (current US$)+5\n", - "Statistical=0.971, p=0.520\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-GDP (current US$)+8\n", - "Statistical=0.982, p=0.845\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-GDP (current US$)+13\n", - "Statistical=0.872, p=0.001\n", - "COL-GDP (current US$)+21\n", - "Statistical=0.872, p=0.001\n", - "COL-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.882, p=0.002\n", - "COL-Deposit interest rate (%)\n", - "Statistical=0.885, p=0.003\n", - "COL-Other taxes (% of revenue)\n", - "Statistical=0.950, p=0.140\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.829, p=0.000\n", - "COL-Taxes on international trade (% of revenue)\n", - "Statistical=0.833, p=0.000\n", - "COL-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.796, p=0.000\n", - "COL-Broad money (% of GDP)\n", - "Statistical=0.850, p=0.000\n", - "COL-Broad money growth (annual %)\n", - "Statistical=0.980, p=0.809\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Broad money to total reserves ratio\n", - "Statistical=0.844, p=0.000\n", - "COL-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.980, p=0.800\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.894, p=0.004\n", - "COL-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.917, p=0.017\n", - "COL-External health expenditure (% of current health expenditure)\n", - "Statistical=0.857, p=0.001\n", - "COL-External health expenditure per capita (current US$)\n", - "Statistical=0.670, p=0.000\n", - "COL-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.812, p=0.000\n", - "COL-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.806, p=0.000\n", - "COL-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.954, p=0.193\n", - "Data is NORMAL ( H0 not denied )\n", - "COL-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.800, p=0.000\n", - "COL-People practicing open defecation (% of population)\n", - "Statistical=0.910, p=0.011\n", - "COL-Taxes on exports (% of tax revenue)\n", - "Statistical=0.794, p=0.000\n", - "COL-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.881, p=0.002\n", - "COL-Country\n", - "Statistical=0.925, p=0.028\n", - "COL-Year\n", - "Statistical=0.843, p=0.000\n", - "COL-Continent\n", - "Statistical=0.807, p=0.000\n", - "CHL-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.881, p=0.002\n", - "CHL-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.872, p=0.001\n", - "CHL-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.929, p=0.037\n", - "CHL-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.621, p=0.000\n", - "CHL-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.620, p=0.000\n", - "CHL-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.620, p=0.000\n", - "CHL-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.621, p=0.000\n", - "CHL-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.620, p=0.000\n", - "CHL-Age dependency ratio (% of working-age population)\n", - "Statistical=0.607, p=0.000\n", - "CHL-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.621, p=0.000\n", - "CHL-Agricultural land (% of land area)\n", - "Statistical=0.621, p=0.000\n", - "CHL-Agricultural land (sq. km)\n", - "Statistical=0.621, p=0.000\n", - "CHL-Agricultural methane emissions (% of total)\n", - "Statistical=0.765, p=0.000\n", - "CHL-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.755, p=0.000\n", - "CHL-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.785, p=0.000\n", - "CHL-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.948, p=0.123\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.908, p=0.010\n", - "CHL-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.849, p=0.000\n", - "CHL-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.957, p=0.224\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Aquaculture production (metric tons)\n", - "Statistical=0.908, p=0.010\n", - "CHL-Arable land (% of land area)\n", - "Statistical=0.855, p=0.001\n", - "CHL-Arable land (hectares per person)\n", - "Statistical=0.960, p=0.271\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Arable land (hectares)\n", - "Statistical=0.905, p=0.008\n", - "CHL-Armed forces personnel (% of total labor force)\n", - "Statistical=0.961, p=0.297\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.904, p=0.008\n", - "CHL-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.945, p=0.105\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.913, p=0.014\n", - "CHL-Average precipitation in depth (mm per year)\n", - "Statistical=0.872, p=0.001\n", - "CHL-Average time to clear exports through customs (days)\n", - "Statistical=0.875, p=0.002\n", - "CHL-Births attended by skilled health staff (% of total)\n", - "Statistical=0.922, p=0.024\n", - "CHL-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.845, p=0.000\n", - "CHL-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.870, p=0.001\n", - "CHL-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.959, p=0.262\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-CO2 emissions (kt)\n", - "Statistical=0.895, p=0.005\n", - "CHL-CO2 emissions (metric tons per capita)\n", - "Statistical=0.835, p=0.000\n", - "CHL-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.869, p=0.001\n", - "CHL-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.858, p=0.001\n", - "CHL-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.878, p=0.002\n", - "CHL-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.849, p=0.000\n", - "CHL-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.921, p=0.022\n", - "CHL-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.788, p=0.000\n", - "CHL-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.783, p=0.000\n", - "CHL-Capture fisheries production (metric tons)\n", - "Statistical=0.789, p=0.000\n", - "CHL-Cereal production (metric tons)\n", - "Statistical=0.823, p=0.000\n", - "CHL-Cereal yield (kg per hectare)\n", - "Statistical=0.958, p=0.239\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Changes in inventories (current US$)\n", - "Statistical=0.893, p=0.004\n", - "CHL-Chemicals (% of value added in manufacturing)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Children out of school (% of primary school age)\n", - "Statistical=0.862, p=0.001\n", - "CHL-Coal rents (% of GDP)\n", - "Statistical=0.862, p=0.001\n", - "CHL-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.564, p=0.000\n", - "CHL-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.801, p=0.000\n", - "CHL-Commercial service exports (current US$)\n", - "Statistical=0.818, p=0.000\n", - "CHL-Commercial service imports (current US$)\n", - "Statistical=0.869, p=0.001\n", - "CHL-Completeness of birth registration (%)\n", - "Statistical=0.897, p=0.005\n", - "CHL-Consumer price index (2010 = 100)\n", - "Statistical=0.955, p=0.201\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.935, p=0.054\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Crop production index (2014-2016 = 100)\n", - "Statistical=0.832, p=0.000\n", - "CHL-Current account balance (% of GDP)\n", - "Statistical=0.782, p=0.000\n", - "CHL-Current account balance (BoP, current US$)\n", - "Statistical=0.976, p=0.670\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Current health expenditure (% of GDP)\n", - "Statistical=0.893, p=0.004\n", - "CHL-Current health expenditure per capita (current US$)\n", - "Statistical=0.893, p=0.004\n", - "CHL-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.886, p=0.003\n", - "CHL-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.885, p=0.003\n", - "CHL-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.900, p=0.006\n", - "CHL-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.900, p=0.006\n", - "CHL-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.898, p=0.005\n", - "CHL-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.971, p=0.519\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.966, p=0.399\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.661, p=0.000\n", - "CHL-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.799, p=0.000\n", - "CHL-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.776, p=0.000\n", - "CHL-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.776, p=0.000\n", - "CHL-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.928, p=0.035\n", - "CHL-Electric power consumption (kWh per capita)\n", - "Statistical=0.828, p=0.000\n", - "CHL-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.845, p=0.000\n", - "CHL-Electricity production from coal sources (% of total)\n", - "Statistical=0.828, p=0.000\n", - "CHL-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.879, p=0.002\n", - "CHL-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.922, p=0.024\n", - "CHL-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.914, p=0.014\n", - "CHL-Electricity production from oil sources (% of total)\n", - "Statistical=0.891, p=0.004\n", - "CHL-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.805, p=0.000\n", - "CHL-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.678, p=0.000\n", - "CHL-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.756, p=0.000\n", - "CHL-Energy related methane emissions (% of total)\n", - "Statistical=0.705, p=0.000\n", - "CHL-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.909, p=0.011\n", - "CHL-Export unit value index (2000 = 100)\n", - "Statistical=0.742, p=0.000\n", - "CHL-Export value index (2000 = 100)\n", - "Statistical=0.585, p=0.000\n", - "CHL-Export volume index (2000 = 100)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Exports of goods and services (% of GDP)\n", - "Statistical=0.602, p=0.000\n", - "CHL-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.853, p=0.000\n", - "CHL-Exports of goods and services (current US$)\n", - "Statistical=0.901, p=0.007\n", - "CHL-External balance on goods and services (% of GDP)\n", - "Statistical=0.958, p=0.248\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-External balance on goods and services (current US$)\n", - "Statistical=0.901, p=0.006\n", - "CHL-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.615, p=0.000\n", - "CHL-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Final consumption expenditure (% of GDP)\n", - "Statistical=0.945, p=0.104\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Final consumption expenditure (current US$)\n", - "Statistical=0.903, p=0.007\n", - "CHL-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.916, p=0.016\n", - "CHL-Firms offering formal training (% of firms)\n", - "Statistical=0.913, p=0.014\n", - "CHL-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.916, p=0.017\n", - "CHL-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.799, p=0.000\n", - "CHL-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.920, p=0.021\n", - "CHL-Fixed broadband subscriptions\n", - "Statistical=0.932, p=0.045\n", - "CHL-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.863, p=0.001\n", - "CHL-Fixed telephone subscriptions\n", - "Statistical=0.941, p=0.081\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.874, p=0.001\n", - "CHL-Food exports (% of merchandise exports)\n", - "Statistical=0.835, p=0.000\n", - "CHL-Food imports (% of merchandise imports)\n", - "Statistical=0.924, p=0.027\n", - "CHL-Food production index (2014-2016 = 100)\n", - "Statistical=0.871, p=0.001\n", - "CHL-Forest area (% of land area)\n", - "Statistical=0.922, p=0.023\n", - "CHL-Forest area (sq. km)\n", - "Statistical=0.899, p=0.006\n", - "CHL-Forest rents (% of GDP)\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.830, p=0.000\n", - "CHL-Fuel exports (% of merchandise exports)\n", - "Statistical=0.816, p=0.000\n", - "CHL-Fuel imports (% of merchandise imports)\n", - "Statistical=0.825, p=0.000\n", - "CHL-GDP (current US$)\n", - "Statistical=0.950, p=0.145\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-GDP deflator (base year varies by country)\n", - "Statistical=0.913, p=0.013\n", - "CHL-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.894, p=0.004\n", - "CHL-GDP growth (annual %)\n", - "Statistical=0.930, p=0.039\n", - "CHL-GDP per capita (current US$)\n", - "Statistical=0.830, p=0.000\n", - "CHL-GDP per capita growth (annual %)\n", - "Statistical=0.886, p=0.003\n", - "CHL-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.645, p=0.000\n", - "CHL-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.756, p=0.000\n", - "CHL-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.721, p=0.000\n", - "CHL-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.725, p=0.000\n", - "CHL-GNI (current US$)\n", - "Statistical=0.808, p=0.000\n", - "CHL-GNI growth (annual %)\n", - "Statistical=0.679, p=0.000\n", - "CHL-GNI per capita growth (annual %)\n", - "Statistical=0.749, p=0.000\n", - "CHL-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.979, p=0.781\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-General government final consumption expenditure (current US$)\n", - "Statistical=0.952, p=0.164\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Gini index\n", - "Statistical=0.920, p=0.021\n", - "CHL-Goods exports (BoP, current US$)\n", - "Statistical=0.867, p=0.001\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CHL-Goods imports (BoP, current US$)\n", - "Statistical=0.898, p=0.006\n", - "CHL-Grants and other revenue (% of revenue)\n", - "Statistical=0.868, p=0.001\n", - "CHL-Gross capital formation (% of GDP)\n", - "Statistical=0.931, p=0.043\n", - "CHL-Gross capital formation (current US$)\n", - "Statistical=0.893, p=0.004\n", - "CHL-Gross domestic savings (% of GDP)\n", - "Statistical=0.888, p=0.003\n", - "CHL-Gross domestic savings (current US$)\n", - "Statistical=0.909, p=0.011\n", - "CHL-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.708, p=0.000\n", - "CHL-Gross fixed capital formation (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Gross national expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.901, p=0.007\n", - "CHL-Gross savings (% of GDP)\n", - "Statistical=0.907, p=0.009\n", - "CHL-Gross savings (current US$)\n", - "Statistical=0.979, p=0.761\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.818, p=0.000\n", - "CHL-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.884, p=0.002\n", - "CHL-High-technology exports (% of manufactured exports)\n", - "Statistical=0.812, p=0.000\n", - "CHL-High-technology exports (current US$)\n", - "Statistical=0.923, p=0.025\n", - "CHL-Hospital beds (per 1,000 people)\n", - "Statistical=0.882, p=0.002\n", - "CHL-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.927, p=0.033\n", - "CHL-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.814, p=0.000\n", - "CHL-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.814, p=0.000\n", - "CHL-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.814, p=0.000\n", - "CHL-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.951, p=0.159\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.968, p=0.438\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.914, p=0.014\n", - "CHL-ICT goods exports (% of total goods exports)\n", - "Statistical=0.924, p=0.026\n", - "CHL-ICT goods imports (% total goods imports)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.808, p=0.000\n", - "CHL-ICT service exports (BoP, current US$)\n", - "Statistical=0.809, p=0.000\n", - "CHL-Import unit value index (2000 = 100)\n", - "Statistical=0.801, p=0.000\n", - "CHL-Import value index (2000 = 100)\n", - "Statistical=0.770, p=0.000\n", - "CHL-Import volume index (2000 = 100)\n", - "Statistical=0.816, p=0.000\n", - "CHL-Imports of goods and services (% of GDP)\n", - "Statistical=0.977, p=0.713\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.837, p=0.000\n", - "CHL-Imports of goods and services (current US$)\n", - "Statistical=0.850, p=0.000\n", - "CHL-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "CHL-Income share held by highest 10%\n", - "Statistical=0.540, p=0.000\n", - "CHL-Income share held by highest 20%\n", - "Statistical=0.764, p=0.000\n", - "CHL-Income share held by lowest 10%\n", - "Statistical=0.798, p=0.000\n", - "CHL-Income share held by lowest 20%\n", - "Statistical=0.963, p=0.334\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Income share held by second 20%\n", - "Statistical=0.771, p=0.000\n", - "CHL-Income share held by third 20%\n", - "Statistical=0.817, p=0.000\n", - "CHL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.843, p=0.000\n", - "CHL-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.804, p=0.000\n", - "CHL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.801, p=0.000\n", - "CHL-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.817, p=0.000\n", - "CHL-Individuals using the Internet (% of population)\n", - "Statistical=0.817, p=0.000\n", - "CHL-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.799, p=0.000\n", - "CHL-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.487, p=0.000\n", - "CHL-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.881, p=0.002\n", - "CHL-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.738, p=0.000\n", - "CHL-Intentional homicides (per 100,000 people)\n", - "Statistical=0.823, p=0.000\n", - "CHL-Interest payments (% of revenue)\n", - "Statistical=0.788, p=0.000\n", - "CHL-International migrant stock (% of population)\n", - "Statistical=0.910, p=0.011\n", - "CHL-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.855, p=0.001\n", - "CHL-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.759, p=0.000\n", - "CHL-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.771, p=0.000\n", - "CHL-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.766, p=0.000\n", - "CHL-Land area (sq. km)\n", - "Statistical=0.674, p=0.000\n", - "CHL-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.734, p=0.000\n", - "CHL-Land under cereal production (hectares)\n", - "Statistical=0.704, p=0.000\n", - "CHL-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.879, p=0.002\n", - "CHL-Lifetime risk of maternal death (%)\n", - "Statistical=0.918, p=0.018\n", - "CHL-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.900, p=0.006\n", - "CHL-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.900, p=0.006\n", - "CHL-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.916, p=0.017\n", - "CHL-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.888, p=0.003\n", - "CHL-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.876, p=0.002\n", - "CHL-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.889, p=0.003\n", - "CHL-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.899, p=0.006\n", - "CHL-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.887, p=0.003\n", - "CHL-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.782, p=0.000\n", - "CHL-Low-birthweight babies (% of births)\n", - "Statistical=0.813, p=0.000\n", - "CHL-Lower secondary school starting age (years)\n", - "Statistical=0.918, p=0.019\n", - "CHL-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.913, p=0.013\n", - "CHL-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.921, p=0.022\n", - "CHL-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.845, p=0.000\n", - "CHL-Marine protected areas (% of territorial waters)\n", - "Statistical=0.874, p=0.001\n", - "CHL-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.976, p=0.670\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.916, p=0.017\n", - "CHL-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.893, p=0.004\n", - "CHL-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.902, p=0.007\n", - "CHL-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.874, p=0.001\n", - "CHL-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.881, p=0.002\n", - "CHL-Merchandise exports (current US$)\n", - "Statistical=0.860, p=0.001\n", - "CHL-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.857, p=0.001\n", - "CHL-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.906, p=0.009\n", - "CHL-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.912, p=0.012\n", - "CHL-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.940, p=0.074\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.888, p=0.003\n", - "CHL-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.883, p=0.002\n", - "CHL-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.879, p=0.002\n", - "CHL-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.862, p=0.001\n", - "CHL-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.945, p=0.107\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.779, p=0.000\n", - "CHL-Merchandise imports (current US$)\n", - "Statistical=0.857, p=0.001\n", - "CHL-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.884, p=0.002\n", - "CHL-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.919, p=0.019\n", - "CHL-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.929, p=0.037\n", - "CHL-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.872, p=0.001\n", - "CHL-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.872, p=0.001\n", - "CHL-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.832, p=0.000\n", - "CHL-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.873, p=0.001\n", - "CHL-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.845, p=0.000\n", - "CHL-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.920, p=0.021\n", - "CHL-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.843, p=0.000\n", - "CHL-Merchandise trade (% of GDP)\n", - "Statistical=0.959, p=0.264\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Methane emissions (% change from 1990)\n", - "Statistical=0.859, p=0.001\n", - "CHL-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.859, p=0.001\n", - "CHL-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.901, p=0.007\n", - "CHL-Military expenditure (% of GDP)\n", - "Statistical=0.845, p=0.000\n", - "CHL-Military expenditure (% of general government expenditure)\n", - "Statistical=0.835, p=0.000\n", - "CHL-Military expenditure (current USD)\n", - "Statistical=0.971, p=0.541\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Mineral rents (% of GDP)\n", - "Statistical=0.584, p=0.000\n", - "CHL-Mobile cellular subscriptions\n", - "Statistical=0.877, p=0.002\n", - "CHL-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.859, p=0.001\n", - "CHL-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Natural gas rents (% of GDP)\n", - "Statistical=0.912, p=0.013\n", - "CHL-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.896, p=0.005\n", - "CHL-Net capital account (BoP, current US$)\n", - "Statistical=0.953, p=0.179\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Net financial account (BoP, current US$)\n", - "Statistical=0.957, p=0.226\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Net migration\n", - "Statistical=0.924, p=0.027\n", - "CHL-Net primary income (BoP, current US$)\n", - "Statistical=0.924, p=0.027\n", - "CHL-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.886, p=0.003\n", - "CHL-Net secondary income (BoP, current US$)\n", - "Statistical=0.870, p=0.001\n", - "CHL-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.678, p=0.000\n", - "CHL-Net trade in goods (BoP, current US$)\n", - "Statistical=0.678, p=0.000\n", - "CHL-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.678, p=0.000\n", - "CHL-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.678, p=0.000\n", - "CHL-New businesses registered (number)\n", - "Statistical=0.678, p=0.000\n", - "CHL-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.842, p=0.000\n", - "CHL-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.842, p=0.000\n", - "CHL-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.775, p=0.000\n", - "CHL-Number of deaths ages 10-14 years\n", - "Statistical=0.867, p=0.001\n", - "CHL-Number of deaths ages 15-19 years\n", - "Statistical=0.909, p=0.010\n", - "CHL-Number of deaths ages 20-24 years\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Number of deaths ages 5-9 years\n", - "Statistical=0.923, p=0.025\n", - "CHL-Number of infant deaths\n", - "Statistical=0.928, p=0.035\n", - "CHL-Number of maternal deaths\n", - "Statistical=0.969, p=0.462\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Number of neonatal deaths\n", - "Statistical=0.950, p=0.145\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Number of under-five deaths\n", - "Statistical=0.890, p=0.004\n", - "CHL-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.930, p=0.038\n", - "CHL-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.830, p=0.000\n", - "CHL-Oil rents (% of GDP)\n", - "Statistical=0.917, p=0.017\n", - "CHL-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.917, p=0.017\n", - "CHL-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.950, p=0.141\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.890, p=0.003\n", - "CHL-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.899, p=0.006\n", - "CHL-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.961, p=0.299\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.930, p=0.038\n", - "CHL-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.930, p=0.038\n", - "CHL-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.900, p=0.006\n", - "CHL-People using at least basic drinking water services (% of population)\n", - "Statistical=0.864, p=0.001\n", - "CHL-People using at least basic sanitation services (% of population)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-People using safely managed sanitation services (% of population)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Permanent cropland (% of land area)\n", - "Statistical=0.991, p=0.993\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Physicians (per 1,000 people)\n", - "Statistical=0.924, p=0.026\n", - "CHL-Population ages 0-14 (% of total population)\n", - "Statistical=0.924, p=0.026\n", - "CHL-Population ages 15-64 (% of total population)\n", - "Statistical=0.909, p=0.010\n", - "CHL-Population ages 65 and above (% of total population)\n", - "Statistical=0.875, p=0.001\n", - "CHL-Population density (people per sq. km of land area)\n", - "Statistical=0.987, p=0.952\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Population growth (annual %)\n", - "Statistical=0.924, p=0.026\n", - "CHL-Population in largest city\n", - "Statistical=0.903, p=0.008\n", - "CHL-Population in the largest city (% of urban population)\n", - "Statistical=0.922, p=0.023\n", - "CHL-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.863, p=0.001\n", - "CHL-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.919, p=0.020\n", - "CHL-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.930, p=0.038\n", - "CHL-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.902, p=0.007\n", - "CHL-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.900, p=0.006\n", - "CHL-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.932, p=0.046\n", - "CHL-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.932, p=0.046\n", - "CHL-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.894, p=0.004\n", - "CHL-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.864, p=0.001\n", - "CHL-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.979, p=0.783\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Prevalence of undernourishment (% of population)\n", - "Statistical=0.904, p=0.008\n", - "CHL-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.985, p=0.916\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Primary income payments (BoP, current US$)\n", - "Statistical=0.870, p=0.001\n", - "CHL-Primary income receipts (BoP, current US$)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Primary school starting age (years)\n", - "Statistical=0.902, p=0.007\n", - "CHL-Private credit bureau coverage (% of adults)\n", - "Statistical=0.859, p=0.001\n", - "CHL-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.932, p=0.046\n", - "CHL-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.899, p=0.006\n", - "CHL-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.894, p=0.004\n", - "CHL-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.927, p=0.031\n", - "CHL-Procedures to build a warehouse (number)\n", - "Statistical=0.975, p=0.660\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Procedures to register property (number)\n", - "Statistical=0.912, p=0.013\n", - "CHL-Profit tax (% of commercial profits)\n", - "Statistical=0.912, p=0.013\n", - "CHL-Progression to secondary school (%)\n", - "Statistical=0.876, p=0.002\n", - "CHL-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.869, p=0.001\n", - "CHL-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.864, p=0.001\n", - "CHL-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.832, p=0.000\n", - "CHL-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.875, p=0.001\n", - "CHL-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.933, p=0.049\n", - "CHL-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.926, p=0.030\n", - "CHL-Public credit registry coverage (% of adults)\n", - "Statistical=0.921, p=0.022\n", - "CHL-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.876, p=0.002\n", - "CHL-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.824, p=0.000\n", - "CHL-Rail lines (total route-km)\n", - "Statistical=0.927, p=0.032\n", - "CHL-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.924, p=0.027\n", - "CHL-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.817, p=0.000\n", - "CHL-Refugee population by country or territory of asylum\n", - "Statistical=0.928, p=0.034\n", - "CHL-Refugee population by country or territory of origin\n", - "Statistical=0.971, p=0.534\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.883, p=0.002\n", - "CHL-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.883, p=0.002\n", - "CHL-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.884, p=0.002\n", - "CHL-Research and development expenditure (% of GDP)\n", - "Statistical=0.887, p=0.003\n", - "CHL-Researchers in R&D (per million people)\n", - "Statistical=0.904, p=0.008\n", - "CHL-Reserves and related items (BoP, current US$)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.907, p=0.009\n", - "CHL-Rural land area (sq. km)\n", - "Statistical=0.839, p=0.000\n", - "CHL-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.926, p=0.029\n", - "CHL-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.969, p=0.471\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Rural population\n", - "Statistical=0.885, p=0.003\n", - "CHL-Rural population (% of total population)\n", - "Statistical=0.885, p=0.003\n", - "CHL-Rural population growth (annual %)\n", - "Statistical=0.888, p=0.003\n", - "CHL-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.882, p=0.002\n", - "CHL-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.918, p=0.018\n", - "CHL-Scientific and technical journal articles\n", - "Statistical=0.927, p=0.032\n", - "CHL-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.925, p=0.028\n", - "CHL-Secure Internet servers\n", - "Statistical=0.968, p=0.453\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Secure Internet servers (per 1 million people)\n", - "Statistical=0.911, p=0.012\n", - "CHL-Service exports (BoP, current US$)\n", - "Statistical=0.912, p=0.012\n", - "CHL-Service imports (BoP, current US$)\n", - "Statistical=0.889, p=0.003\n", - "CHL-Sex ratio at birth (male births per female births)\n", - "Statistical=0.869, p=0.001\n", - "CHL-Social contributions (% of revenue)\n", - "Statistical=0.960, p=0.267\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.972, p=0.548\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Start-up procedures to register a business (number)\n", - "Statistical=0.964, p=0.357\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.913, p=0.013\n", - "CHL-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.844, p=0.000\n", - "CHL-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.902, p=0.007\n", - "CHL-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.902, p=0.007\n", - "CHL-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.901, p=0.007\n", - "CHL-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.863, p=0.001\n", - "CHL-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.803, p=0.000\n", - "CHL-Surface area (sq. km)\n", - "Statistical=0.805, p=0.000\n", - "CHL-Tax payments (number)\n", - "Statistical=0.886, p=0.003\n", - "CHL-Tax revenue (% of GDP)\n", - "Statistical=0.969, p=0.466\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Taxes less subsidies on products (current US$)\n", - "Statistical=0.922, p=0.024\n", - "CHL-Taxes on goods and services (% of revenue)\n", - "Statistical=0.922, p=0.024\n", - "CHL-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.891, p=0.004\n", - "CHL-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.874, p=0.001\n", - "CHL-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.923, p=0.024\n", - "CHL-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.970, p=0.501\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Time required to build a warehouse (days)\n", - "Statistical=0.922, p=0.024\n", - "CHL-Time required to enforce a contract (days)\n", - "Statistical=0.888, p=0.003\n", - "CHL-Time required to get electricity (days)\n", - "Statistical=0.922, p=0.023\n", - "CHL-Time required to register property (days)\n", - "Statistical=0.891, p=0.004\n", - "CHL-Time required to start a business (days)\n", - "Statistical=0.679, p=0.000\n", - "CHL-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.675, p=0.000\n", - "CHL-Time to obtain an electrical connection (days)\n", - "Statistical=0.653, p=0.000\n", - "CHL-Time to prepare and pay taxes (hours)\n", - "Statistical=0.669, p=0.000\n", - "CHL-Time to resolve insolvency (years)\n", - "Statistical=0.676, p=0.000\n", - "CHL-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.682, p=0.000\n", - "CHL-Total fisheries production (metric tons)\n", - "Statistical=0.303, p=0.000\n", - "CHL-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.669, p=0.000\n", - "CHL-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.681, p=0.000\n", - "CHL-Total natural resources rents (% of GDP)\n", - "Statistical=0.868, p=0.001\n", - "CHL-Total reserves (includes gold, current US$)\n", - "Statistical=0.885, p=0.003\n", - "CHL-Total reserves in months of imports\n", - "Statistical=0.964, p=0.342\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Total reserves minus gold (current US$)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Total tax and contribution rate (% of profit)\n", - "Statistical=0.918, p=0.018\n", - "CHL-Trade (% of GDP)\n", - "Statistical=0.723, p=0.000\n", - "CHL-Trade in services (% of GDP)\n", - "Statistical=0.955, p=0.202\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Transport services (% of commercial service exports)\n", - "Statistical=0.915, p=0.016\n", - "CHL-Transport services (% of commercial service imports)\n", - "Statistical=0.874, p=0.001\n", - "CHL-Transport services (% of service exports, BoP)\n", - "Statistical=0.871, p=0.001\n", - "CHL-Transport services (% of service imports, BoP)\n", - "Statistical=0.962, p=0.320\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Travel services (% of commercial service exports)\n", - "Statistical=0.875, p=0.002\n", - "CHL-Travel services (% of commercial service imports)\n", - "Statistical=0.974, p=0.604\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Travel services (% of service exports, BoP)\n", - "Statistical=0.890, p=0.003\n", - "CHL-Travel services (% of service imports, BoP)\n", - "Statistical=0.890, p=0.003\n", - "CHL-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.890, p=0.004\n", - "CHL-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.877, p=0.002\n", - "CHL-UHC service coverage index\n", - "Statistical=0.863, p=0.001\n", - "CHL-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.801, p=0.000\n", - "CHL-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.875, p=0.002\n", - "CHL-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.875, p=0.001\n", - "CHL-Urban land area (sq. km)\n", - "Statistical=0.867, p=0.001\n", - "CHL-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.845, p=0.000\n", - "CHL-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.846, p=0.000\n", - "CHL-Urban population\n", - "Statistical=0.867, p=0.001\n", - "CHL-Urban population (% of total population)\n", - "Statistical=0.864, p=0.001\n", - "CHL-Urban population growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.800, p=0.000\n", - "CHL-GDP (current US$)+1\n", - "Statistical=0.800, p=0.000\n", - "CHL-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-GDP (current US$)+2\n", - "Statistical=0.983, p=0.873\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-GDP (current US$)+3\n", - "Statistical=0.952, p=0.166\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-GDP (current US$)+5\n", - "Statistical=0.955, p=0.202\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-GDP (current US$)+8\n", - "Statistical=0.970, p=0.507\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-GDP (current US$)+13\n", - "Statistical=0.922, p=0.024\n", - "CHL-GDP (current US$)+21\n", - "Statistical=0.922, p=0.024\n", - "CHL-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.912, p=0.013\n", - "CHL-Deposit interest rate (%)\n", - "Statistical=0.846, p=0.000\n", - "CHL-Other taxes (% of revenue)\n", - "Statistical=0.851, p=0.000\n", - "CHL-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.908, p=0.010\n", - "CHL-Taxes on international trade (% of revenue)\n", - "Statistical=0.908, p=0.010\n", - "CHL-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.844, p=0.000\n", - "CHL-Broad money (% of GDP)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Broad money growth (annual %)\n", - "Statistical=0.944, p=0.095\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Broad money to total reserves ratio\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.943, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.834, p=0.000\n", - "CHL-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.930, p=0.038\n", - "CHL-External health expenditure (% of current health expenditure)\n", - "Statistical=0.857, p=0.001\n", - "CHL-External health expenditure per capita (current US$)\n", - "Statistical=0.678, p=0.000\n", - "CHL-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.874, p=0.001\n", - "CHL-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.875, p=0.002\n", - "CHL-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.916, p=0.016\n", - "CHL-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.807, p=0.000\n", - "CHL-People practicing open defecation (% of population)\n", - "Statistical=0.829, p=0.000\n", - "CHL-Taxes on exports (% of tax revenue)\n", - "Statistical=0.809, p=0.000\n", - "CHL-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.656, p=0.000\n", - "CHL-Country\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Year\n", - "Statistical=0.830, p=0.000\n", - "CHL-Continent\n", - "Statistical=0.857, p=0.001\n", - "PAN-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Adjusted net national income (current US$)\n", - "Statistical=0.807, p=0.000\n", - "PAN-Adjusted net national income per capita (current US$)\n", - "Statistical=0.798, p=0.000\n", - "PAN-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.797, p=0.000\n", - "PAN-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.969, p=0.474\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.950, p=0.146\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.955, p=0.201\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.614, p=0.000\n", - "PAN-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.612, p=0.000\n", - "PAN-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.615, p=0.000\n", - "PAN-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.610, p=0.000\n", - "PAN-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.609, p=0.000\n", - "PAN-Age dependency ratio (% of working-age population)\n", - "Statistical=0.598, p=0.000\n", - "PAN-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.615, p=0.000\n", - "PAN-Agricultural land (% of land area)\n", - "Statistical=0.611, p=0.000\n", - "PAN-Agricultural land (sq. km)\n", - "Statistical=0.620, p=0.000\n", - "PAN-Agricultural methane emissions (% of total)\n", - "Statistical=0.888, p=0.003\n", - "PAN-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.895, p=0.005\n", - "PAN-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.885, p=0.003\n", - "PAN-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.982, p=0.868\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.861, p=0.001\n", - "PAN-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.821, p=0.000\n", - "PAN-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.979, p=0.776\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Aquaculture production (metric tons)\n", - "Statistical=0.854, p=0.001\n", - "PAN-Arable land (% of land area)\n", - "Statistical=0.817, p=0.000\n", - "PAN-Arable land (hectares per person)\n", - "Statistical=0.957, p=0.223\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Arable land (hectares)\n", - "Statistical=0.792, p=0.000\n", - "PAN-Armed forces personnel (% of total labor force)\n", - "Statistical=0.956, p=0.217\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.792, p=0.000\n", - "PAN-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.981, p=0.824\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.886, p=0.003\n", - "PAN-Average precipitation in depth (mm per year)\n", - "Statistical=0.951, p=0.156\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Average time to clear exports through customs (days)\n", - "Statistical=0.823, p=0.000\n", - "PAN-Births attended by skilled health staff (% of total)\n", - "Statistical=0.783, p=0.000\n", - "PAN-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.819, p=0.000\n", - "PAN-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-CO2 emissions (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-CO2 emissions (metric tons per capita)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.793, p=0.000\n", - "PAN-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.953, p=0.179\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.815, p=0.000\n", - "PAN-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.967, p=0.433\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.894, p=0.004\n", - "PAN-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.905, p=0.008\n", - "PAN-Capture fisheries production (metric tons)\n", - "Statistical=0.882, p=0.002\n", - "PAN-Cereal production (metric tons)\n", - "Statistical=0.900, p=0.006\n", - "PAN-Cereal yield (kg per hectare)\n", - "Statistical=0.915, p=0.015\n", - "PAN-Changes in inventories (current US$)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.694, p=0.000\n", - "PAN-Children out of school (% of primary school age)\n", - "Statistical=0.788, p=0.000\n", - "PAN-Coal rents (% of GDP)\n", - "Statistical=0.779, p=0.000\n", - "PAN-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.641, p=0.000\n", - "PAN-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.621, p=0.000\n", - "PAN-Commercial service exports (current US$)\n", - "Statistical=0.918, p=0.019\n", - "PAN-Commercial service imports (current US$)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Completeness of birth registration (%)\n", - "Statistical=0.805, p=0.000\n", - "PAN-Consumer price index (2010 = 100)\n", - "Statistical=0.965, p=0.364\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.911, p=0.012\n", - "PAN-Crop production index (2014-2016 = 100)\n", - "Statistical=0.891, p=0.004\n", - "PAN-Current account balance (% of GDP)\n", - "Statistical=0.872, p=0.001\n", - "PAN-Current account balance (BoP, current US$)\n", - "Statistical=0.962, p=0.311\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Current health expenditure (% of GDP)\n", - "Statistical=0.899, p=0.006\n", - "PAN-Current health expenditure per capita (current US$)\n", - "Statistical=0.899, p=0.006\n", - "PAN-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.909, p=0.010\n", - "PAN-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.909, p=0.010\n", - "PAN-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.963, p=0.323\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.875, p=0.002\n", - "PAN-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.770, p=0.000\n", - "PAN-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.829, p=0.000\n", - "PAN-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.933, p=0.049\n", - "PAN-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.586, p=0.000\n", - "PAN-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.586, p=0.000\n", - "PAN-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.586, p=0.000\n", - "PAN-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.586, p=0.000\n", - "PAN-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.586, p=0.000\n", - "PAN-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.948, p=0.123\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Electric power consumption (kWh per capita)\n", - "Statistical=0.823, p=0.000\n", - "PAN-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.940, p=0.076\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Electricity production from coal sources (% of total)\n", - "Statistical=0.817, p=0.000\n", - "PAN-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.919, p=0.020\n", - "PAN-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.672, p=0.000\n", - "PAN-Electricity production from nuclear sources (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Electricity production from oil sources (% of total)\n", - "Statistical=0.867, p=0.001\n", - "PAN-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.694, p=0.000\n", - "PAN-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.678, p=0.000\n", - "PAN-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.791, p=0.000\n", - "PAN-Energy related methane emissions (% of total)\n", - "Statistical=0.844, p=0.000\n", - "PAN-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.726, p=0.000\n", - "PAN-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.960, p=0.280\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Export unit value index (2000 = 100)\n", - "Statistical=0.935, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Export value index (2000 = 100)\n", - "Statistical=0.850, p=0.000\n", - "PAN-Export volume index (2000 = 100)\n", - "Statistical=0.860, p=0.001\n", - "PAN-Exports of goods and services (% of GDP)\n", - "Statistical=0.792, p=0.000\n", - "PAN-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.735, p=0.000\n", - "PAN-Exports of goods and services (current US$)\n", - "Statistical=0.815, p=0.000\n", - "PAN-External balance on goods and services (% of GDP)\n", - "Statistical=0.893, p=0.004\n", - "PAN-External balance on goods and services (current US$)\n", - "Statistical=0.874, p=0.001\n", - "PAN-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=0.565, p=0.000\n", - "PAN-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Final consumption expenditure (% of GDP)\n", - "Statistical=0.939, p=0.072\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Final consumption expenditure (current US$)\n", - "Statistical=0.905, p=0.008\n", - "PAN-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.905, p=0.008\n", - "PAN-Firms offering formal training (% of firms)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.904, p=0.008\n", - "PAN-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.588, p=0.000\n", - "PAN-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.547, p=0.000\n", - "PAN-Fixed broadband subscriptions\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.914, p=0.014\n", - "PAN-Fixed telephone subscriptions\n", - "Statistical=0.950, p=0.140\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Food exports (% of merchandise exports)\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Food imports (% of merchandise imports)\n", - "Statistical=0.927, p=0.033\n", - "PAN-Food production index (2014-2016 = 100)\n", - "Statistical=0.803, p=0.000\n", - "PAN-Forest area (% of land area)\n", - "Statistical=0.899, p=0.006\n", - "PAN-Forest area (sq. km)\n", - "Statistical=0.870, p=0.001\n", - "PAN-Forest rents (% of GDP)\n", - "Statistical=0.954, p=0.184\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.760, p=0.000\n", - "PAN-Fuel exports (% of merchandise exports)\n", - "Statistical=0.706, p=0.000\n", - "PAN-Fuel imports (% of merchandise imports)\n", - "Statistical=0.697, p=0.000\n", - "PAN-GDP (current US$)\n", - "Statistical=0.946, p=0.112\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-GDP deflator (base year varies by country)\n", - "Statistical=0.928, p=0.033\n", - "PAN-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.965, p=0.383\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-GDP growth (annual %)\n", - "Statistical=0.965, p=0.383\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-GDP per capita (current US$)\n", - "Statistical=0.924, p=0.026\n", - "PAN-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.653, p=0.000\n", - "PAN-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.910, p=0.012\n", - "PAN-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.921, p=0.022\n", - "PAN-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.901, p=0.007\n", - "PAN-GNI (current US$)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-GNI growth (annual %)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-GNI per capita growth (annual %)\n", - "Statistical=0.922, p=0.024\n", - "PAN-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.882, p=0.002\n", - "PAN-General government final consumption expenditure (current US$)\n", - "Statistical=0.976, p=0.672\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Gini index\n", - "Statistical=0.834, p=0.000\n", - "PAN-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Goods imports (BoP, current US$)\n", - "Statistical=0.879, p=0.002\n", - "PAN-Grants and other revenue (% of revenue)\n", - "Statistical=0.840, p=0.000\n", - "PAN-Gross capital formation (% of GDP)\n", - "Statistical=0.846, p=0.000\n", - "PAN-Gross capital formation (current US$)\n", - "Statistical=0.826, p=0.000\n", - "PAN-Gross domestic savings (% of GDP)\n", - "Statistical=0.748, p=0.000\n", - "PAN-Gross domestic savings (current US$)\n", - "Statistical=0.959, p=0.253\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.558, p=0.000\n", - "PAN-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.907, p=0.010\n", - "PAN-Gross savings (% of GDP)\n", - "Statistical=0.953, p=0.172\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Gross savings (current US$)\n", - "Statistical=0.827, p=0.000\n", - "PAN-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.816, p=0.000\n", - "PAN-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.559, p=0.000\n", - "PAN-High-technology exports (% of manufactured exports)\n", - "Statistical=0.573, p=0.000\n", - "PAN-High-technology exports (current US$)\n", - "Statistical=0.896, p=0.005\n", - "PAN-Hospital beds (per 1,000 people)\n", - "Statistical=0.918, p=0.019\n", - "PAN-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.949, p=0.139\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.765, p=0.000\n", - "PAN-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.765, p=0.000\n", - "PAN-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.765, p=0.000\n", - "PAN-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.948, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.980, p=0.798\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.888, p=0.003\n", - "PAN-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.823, p=0.000\n", - "PAN-ICT goods exports (% of total goods exports)\n", - "Statistical=0.662, p=0.000\n", - "PAN-ICT goods imports (% total goods imports)\n", - "Statistical=0.779, p=0.000\n", - "PAN-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.902, p=0.007\n", - "PAN-ICT service exports (BoP, current US$)\n", - "Statistical=0.768, p=0.000\n", - "PAN-Import unit value index (2000 = 100)\n", - "Statistical=0.760, p=0.000\n", - "PAN-Import value index (2000 = 100)\n", - "Statistical=0.512, p=0.000\n", - "PAN-Import volume index (2000 = 100)\n", - "Statistical=0.541, p=0.000\n", - "PAN-Imports of goods and services (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.911, p=0.012\n", - "PAN-Imports of goods and services (current US$)\n", - "Statistical=0.852, p=0.000\n", - "PAN-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "PAN-Income share held by highest 10%\n", - "Statistical=0.671, p=0.000\n", - "PAN-Income share held by highest 20%\n", - "Statistical=0.889, p=0.003\n", - "PAN-Income share held by lowest 10%\n", - "Statistical=0.778, p=0.000\n", - "PAN-Income share held by lowest 20%\n", - "Statistical=0.914, p=0.015\n", - "PAN-Income share held by second 20%\n", - "Statistical=0.881, p=0.002\n", - "PAN-Income share held by third 20%\n", - "Statistical=0.833, p=0.000\n", - "PAN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.894, p=0.004\n", - "PAN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.771, p=0.000\n", - "PAN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.755, p=0.000\n", - "PAN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.821, p=0.000\n", - "PAN-Individuals using the Internet (% of population)\n", - "Statistical=0.760, p=0.000\n", - "PAN-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.765, p=0.000\n", - "PAN-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.453, p=0.000\n", - "PAN-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.892, p=0.004\n", - "PAN-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.882, p=0.002\n", - "PAN-Intentional homicides (per 100,000 people)\n", - "Statistical=0.887, p=0.003\n", - "PAN-Interest payments (% of revenue)\n", - "Statistical=0.941, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-International migrant stock (% of population)\n", - "Statistical=0.939, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.837, p=0.000\n", - "PAN-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.844, p=0.000\n", - "PAN-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.841, p=0.000\n", - "PAN-Land area (sq. km)\n", - "Statistical=0.901, p=0.006\n", - "PAN-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.882, p=0.002\n", - "PAN-Land under cereal production (hectares)\n", - "Statistical=0.893, p=0.004\n", - "PAN-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.897, p=0.005\n", - "PAN-Lifetime risk of maternal death (%)\n", - "Statistical=0.858, p=0.001\n", - "PAN-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.969, p=0.477\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Livestock production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.947, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.970, p=0.510\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.635, p=0.000\n", - "PAN-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.928, p=0.033\n", - "PAN-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.976, p=0.677\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.970, p=0.494\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Low-birthweight babies (% of births)\n", - "Statistical=0.971, p=0.521\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Lower secondary school starting age (years)\n", - "Statistical=0.932, p=0.043\n", - "PAN-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.840, p=0.000\n", - "PAN-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.924, p=0.026\n", - "PAN-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.949, p=0.134\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Marine protected areas (% of territorial waters)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.965, p=0.377\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.924, p=0.027\n", - "PAN-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.915, p=0.015\n", - "PAN-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.930, p=0.040\n", - "PAN-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.985, p=0.922\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.953, p=0.172\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Merchandise exports (current US$)\n", - "Statistical=0.920, p=0.021\n", - "PAN-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.970, p=0.500\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.948, p=0.126\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.918, p=0.018\n", - "PAN-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.921, p=0.022\n", - "PAN-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.683, p=0.000\n", - "PAN-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.900, p=0.006\n", - "PAN-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.652, p=0.000\n", - "PAN-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.880, p=0.002\n", - "PAN-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.746, p=0.000\n", - "PAN-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.916, p=0.017\n", - "PAN-Merchandise imports (current US$)\n", - "Statistical=0.870, p=0.001\n", - "PAN-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.806, p=0.000\n", - "PAN-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.908, p=0.010\n", - "PAN-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.870, p=0.001\n", - "PAN-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.857, p=0.001\n", - "PAN-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.899, p=0.006\n", - "PAN-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.815, p=0.000\n", - "PAN-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.790, p=0.000\n", - "PAN-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.817, p=0.000\n", - "PAN-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.922, p=0.024\n", - "PAN-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.847, p=0.000\n", - "PAN-Merchandise trade (% of GDP)\n", - "Statistical=0.958, p=0.241\n", - "Data is NORMAL ( H0 not denied )\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PAN-Methane emissions (% change from 1990)\n", - "Statistical=0.826, p=0.000\n", - "PAN-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.826, p=0.000\n", - "PAN-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.858, p=0.001\n", - "PAN-Military expenditure (% of GDP)\n", - "Statistical=0.858, p=0.001\n", - "PAN-Military expenditure (% of general government expenditure)\n", - "Statistical=0.848, p=0.000\n", - "PAN-Military expenditure (current USD)\n", - "Statistical=0.978, p=0.741\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Mineral rents (% of GDP)\n", - "Statistical=0.797, p=0.000\n", - "PAN-Mobile cellular subscriptions\n", - "Statistical=0.965, p=0.368\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.965, p=0.368\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.905, p=0.008\n", - "PAN-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.916, p=0.016\n", - "PAN-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.932, p=0.046\n", - "PAN-Natural gas rents (% of GDP)\n", - "Statistical=0.970, p=0.510\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Net barter terms of trade index (2000 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Net capital account (BoP, current US$)\n", - "Statistical=0.961, p=0.285\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Net financial account (BoP, current US$)\n", - "Statistical=0.948, p=0.129\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Net migration\n", - "Statistical=0.903, p=0.008\n", - "PAN-Net primary income (BoP, current US$)\n", - "Statistical=0.903, p=0.008\n", - "PAN-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.850, p=0.000\n", - "PAN-Net secondary income (BoP, current US$)\n", - "Statistical=0.850, p=0.000\n", - "PAN-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=0.678, p=0.000\n", - "PAN-Net trade in goods (BoP, current US$)\n", - "Statistical=0.678, p=0.000\n", - "PAN-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.678, p=0.000\n", - "PAN-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.678, p=0.000\n", - "PAN-New businesses registered (number)\n", - "Statistical=0.678, p=0.000\n", - "PAN-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.798, p=0.000\n", - "PAN-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.799, p=0.000\n", - "PAN-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.961, p=0.287\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Number of deaths ages 10-14 years\n", - "Statistical=0.908, p=0.010\n", - "PAN-Number of deaths ages 15-19 years\n", - "Statistical=0.702, p=0.000\n", - "PAN-Number of deaths ages 20-24 years\n", - "Statistical=0.917, p=0.017\n", - "PAN-Number of deaths ages 5-9 years\n", - "Statistical=0.882, p=0.002\n", - "PAN-Number of infant deaths\n", - "Statistical=0.663, p=0.000\n", - "PAN-Number of maternal deaths\n", - "Statistical=0.866, p=0.001\n", - "PAN-Number of neonatal deaths\n", - "Statistical=0.958, p=0.248\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Number of under-five deaths\n", - "Statistical=0.928, p=0.033\n", - "PAN-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.970, p=0.503\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.926, p=0.031\n", - "PAN-Oil rents (% of GDP)\n", - "Statistical=0.953, p=0.172\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.955, p=0.202\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.822, p=0.000\n", - "PAN-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.915, p=0.015\n", - "PAN-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.794, p=0.000\n", - "PAN-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.921, p=0.022\n", - "PAN-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.891, p=0.004\n", - "PAN-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.891, p=0.004\n", - "PAN-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.839, p=0.000\n", - "PAN-People using at least basic drinking water services (% of population)\n", - "Statistical=0.839, p=0.000\n", - "PAN-People using at least basic sanitation services (% of population)\n", - "Statistical=0.836, p=0.000\n", - "PAN-People using safely managed sanitation services (% of population)\n", - "Statistical=0.836, p=0.000\n", - "PAN-Permanent cropland (% of land area)\n", - "Statistical=0.973, p=0.601\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Physicians (per 1,000 people)\n", - "Statistical=0.889, p=0.003\n", - "PAN-Population ages 0-14 (% of total population)\n", - "Statistical=0.889, p=0.003\n", - "PAN-Population ages 15-64 (% of total population)\n", - "Statistical=0.842, p=0.000\n", - "PAN-Population ages 65 and above (% of total population)\n", - "Statistical=0.842, p=0.000\n", - "PAN-Population density (people per sq. km of land area)\n", - "Statistical=0.975, p=0.659\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Population growth (annual %)\n", - "Statistical=0.889, p=0.003\n", - "PAN-Population in largest city\n", - "Statistical=0.861, p=0.001\n", - "PAN-Population in the largest city (% of urban population)\n", - "Statistical=0.827, p=0.000\n", - "PAN-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.826, p=0.000\n", - "PAN-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.845, p=0.000\n", - "PAN-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.891, p=0.004\n", - "PAN-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.849, p=0.000\n", - "PAN-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.839, p=0.000\n", - "PAN-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.875, p=0.002\n", - "PAN-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.875, p=0.002\n", - "PAN-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.837, p=0.000\n", - "PAN-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.837, p=0.000\n", - "PAN-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.965, p=0.368\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.867, p=0.001\n", - "PAN-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.867, p=0.001\n", - "PAN-Prevalence of undernourishment (% of population)\n", - "Statistical=0.839, p=0.000\n", - "PAN-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.965, p=0.365\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Primary income payments (BoP, current US$)\n", - "Statistical=0.842, p=0.000\n", - "PAN-Primary income receipts (BoP, current US$)\n", - "Statistical=0.867, p=0.001\n", - "PAN-Primary school starting age (years)\n", - "Statistical=0.857, p=0.001\n", - "PAN-Private credit bureau coverage (% of adults)\n", - "Statistical=0.840, p=0.000\n", - "PAN-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.875, p=0.002\n", - "PAN-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.846, p=0.000\n", - "PAN-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.837, p=0.000\n", - "PAN-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.965, p=0.365\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Procedures to build a warehouse (number)\n", - "Statistical=0.962, p=0.303\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Procedures to register property (number)\n", - "Statistical=0.876, p=0.002\n", - "PAN-Profit tax (% of commercial profits)\n", - "Statistical=0.876, p=0.002\n", - "PAN-Progression to secondary school (%)\n", - "Statistical=0.837, p=0.000\n", - "PAN-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.837, p=0.000\n", - "PAN-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.875, p=0.001\n", - "PAN-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.891, p=0.004\n", - "PAN-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.862, p=0.001\n", - "PAN-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.934, p=0.049\n", - "PAN-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.910, p=0.011\n", - "PAN-Public credit registry coverage (% of adults)\n", - "Statistical=0.806, p=0.000\n", - "PAN-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.828, p=0.000\n", - "PAN-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.789, p=0.000\n", - "PAN-Rail lines (total route-km)\n", - "Statistical=0.620, p=0.000\n", - "PAN-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.468, p=0.000\n", - "PAN-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.933, p=0.048\n", - "PAN-Refugee population by country or territory of asylum\n", - "Statistical=0.916, p=0.016\n", - "PAN-Refugee population by country or territory of origin\n", - "Statistical=0.982, p=0.853\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.824, p=0.000\n", - "PAN-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.824, p=0.000\n", - "PAN-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.828, p=0.000\n", - "PAN-Research and development expenditure (% of GDP)\n", - "Statistical=0.828, p=0.000\n", - "PAN-Researchers in R&D (per million people)\n", - "Statistical=0.873, p=0.001\n", - "PAN-Reserves and related items (BoP, current US$)\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.819, p=0.000\n", - "PAN-Rural land area (sq. km)\n", - "Statistical=0.819, p=0.000\n", - "PAN-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.957, p=0.221\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.895, p=0.005\n", - "PAN-Rural population\n", - "Statistical=0.816, p=0.000\n", - "PAN-Rural population (% of total population)\n", - "Statistical=0.816, p=0.000\n", - "PAN-Rural population growth (annual %)\n", - "Statistical=0.815, p=0.000\n", - "PAN-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.815, p=0.000\n", - "PAN-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.910, p=0.011\n", - "PAN-Scientific and technical journal articles\n", - "Statistical=0.914, p=0.015\n", - "PAN-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.912, p=0.013\n", - "PAN-Secure Internet servers\n", - "Statistical=0.963, p=0.339\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Secure Internet servers (per 1 million people)\n", - "Statistical=0.869, p=0.001\n", - "PAN-Service exports (BoP, current US$)\n", - "Statistical=0.866, p=0.001\n", - "PAN-Service imports (BoP, current US$)\n", - "Statistical=0.846, p=0.000\n", - "PAN-Sex ratio at birth (male births per female births)\n", - "Statistical=0.846, p=0.000\n", - "PAN-Social contributions (% of revenue)\n", - "Statistical=0.845, p=0.000\n", - "PAN-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.954, p=0.186\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Start-up procedures to register a business (number)\n", - "Statistical=0.957, p=0.220\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.816, p=0.000\n", - "PAN-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.816, p=0.000\n", - "PAN-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.892, p=0.004\n", - "PAN-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.892, p=0.004\n", - "PAN-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.839, p=0.000\n", - "PAN-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.839, p=0.000\n", - "PAN-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.660, p=0.000\n", - "PAN-Surface area (sq. km)\n", - "Statistical=0.685, p=0.000\n", - "PAN-Tax payments (number)\n", - "Statistical=0.926, p=0.030\n", - "PAN-Tax revenue (% of GDP)\n", - "Statistical=0.954, p=0.183\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Taxes less subsidies on products (current US$)\n", - "Statistical=0.906, p=0.009\n", - "PAN-Taxes on goods and services (% of revenue)\n", - "Statistical=0.906, p=0.009\n", - "PAN-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.855, p=0.001\n", - "PAN-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.855, p=0.001\n", - "PAN-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.911, p=0.012\n", - "PAN-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Time required to build a warehouse (days)\n", - "Statistical=0.906, p=0.009\n", - "PAN-Time required to enforce a contract (days)\n", - "Statistical=0.869, p=0.001\n", - "PAN-Time required to get electricity (days)\n", - "Statistical=0.939, p=0.069\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Time required to register property (days)\n", - "Statistical=0.855, p=0.001\n", - "PAN-Time required to start a business (days)\n", - "Statistical=0.388, p=0.000\n", - "PAN-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.719, p=0.000\n", - "PAN-Time to obtain an electrical connection (days)\n", - "Statistical=0.732, p=0.000\n", - "PAN-Time to prepare and pay taxes (hours)\n", - "Statistical=0.653, p=0.000\n", - "PAN-Time to resolve insolvency (years)\n", - "Statistical=0.763, p=0.000\n", - "PAN-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.695, p=0.000\n", - "PAN-Total fisheries production (metric tons)\n", - "Statistical=0.730, p=0.000\n", - "PAN-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.701, p=0.000\n", - "PAN-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.773, p=0.000\n", - "PAN-Total natural resources rents (% of GDP)\n", - "Statistical=0.774, p=0.000\n", - "PAN-Total reserves (includes gold, current US$)\n", - "Statistical=0.839, p=0.000\n", - "PAN-Total reserves in months of imports\n", - "Statistical=0.926, p=0.030\n", - "PAN-Total reserves minus gold (current US$)\n", - "Statistical=0.813, p=0.000\n", - "PAN-Total tax and contribution rate (% of profit)\n", - "Statistical=0.957, p=0.225\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Trade (% of GDP)\n", - "Statistical=0.830, p=0.000\n", - "PAN-Trade in services (% of GDP)\n", - "Statistical=0.823, p=0.000\n", - "PAN-Transport services (% of commercial service exports)\n", - "Statistical=0.900, p=0.006\n", - "PAN-Transport services (% of commercial service imports)\n", - "Statistical=0.826, p=0.000\n", - "PAN-Transport services (% of service exports, BoP)\n", - "Statistical=0.815, p=0.000\n", - "PAN-Transport services (% of service imports, BoP)\n", - "Statistical=0.911, p=0.012\n", - "PAN-Travel services (% of commercial service exports)\n", - "Statistical=0.852, p=0.000\n", - "PAN-Travel services (% of commercial service imports)\n", - "Statistical=0.973, p=0.593\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Travel services (% of service exports, BoP)\n", - "Statistical=0.821, p=0.000\n", - "PAN-Travel services (% of service imports, BoP)\n", - "Statistical=0.821, p=0.000\n", - "PAN-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.868, p=0.001\n", - "PAN-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.868, p=0.001\n", - "PAN-UHC service coverage index\n", - "Statistical=0.842, p=0.000\n", - "PAN-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.934, p=0.051\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.970, p=0.500\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.919, p=0.020\n", - "PAN-Urban land area (sq. km)\n", - "Statistical=0.882, p=0.002\n", - "PAN-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.842, p=0.000\n", - "PAN-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.868, p=0.001\n", - "PAN-Urban population\n", - "Statistical=0.879, p=0.002\n", - "PAN-Urban population (% of total population)\n", - "Statistical=0.879, p=0.002\n", - "PAN-Urban population growth (annual %)\n", - "Statistical=0.819, p=0.000\n", - "PAN-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.819, p=0.000\n", - "PAN-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.816, p=0.000\n", - "PAN-GDP (current US$)+1\n", - "Statistical=0.816, p=0.000\n", - "PAN-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-GDP (current US$)+2\n", - "Statistical=0.875, p=0.001\n", - "PAN-GDP (current US$)+3\n", - "Statistical=0.876, p=0.002\n", - "PAN-GDP (current US$)+5\n", - "Statistical=0.922, p=0.024\n", - "PAN-GDP (current US$)+8\n", - "Statistical=0.951, p=0.151\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-GDP (current US$)+13\n", - "Statistical=0.832, p=0.000\n", - "PAN-GDP (current US$)+21\n", - "Statistical=0.832, p=0.000\n", - "PAN-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.790, p=0.000\n", - "PAN-Deposit interest rate (%)\n", - "Statistical=0.790, p=0.000\n", - "PAN-Other taxes (% of revenue)\n", - "Statistical=0.741, p=0.000\n", - "PAN-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.954, p=0.192\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Taxes on international trade (% of revenue)\n", - "Statistical=0.954, p=0.192\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.948, p=0.122\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Broad money (% of GDP)\n", - "Statistical=0.971, p=0.516\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Broad money growth (annual %)\n", - "Statistical=0.969, p=0.482\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Broad money to total reserves ratio\n", - "Statistical=0.963, p=0.327\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.970, p=0.486\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.548, p=0.000\n", - "PAN-External health expenditure (% of current health expenditure)\n", - "Statistical=0.526, p=0.000\n", - "PAN-External health expenditure per capita (current US$)\n", - "Statistical=0.571, p=0.000\n", - "PAN-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.828, p=0.000\n", - "PAN-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.859, p=0.001\n", - "PAN-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.964, p=0.354\n", - "Data is NORMAL ( H0 not denied )\n", - "PAN-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.807, p=0.000\n", - "PAN-People practicing open defecation (% of population)\n", - "Statistical=0.830, p=0.000\n", - "PAN-Taxes on exports (% of tax revenue)\n", - "Statistical=0.784, p=0.000\n", - "PAN-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.847, p=0.000\n", - "PAN-Country\n", - "Statistical=0.855, p=0.001\n", - "PAN-Year\n", - "Statistical=0.787, p=0.000\n", - "PAN-Continent\n", - "Statistical=0.803, p=0.000\n", - "CRI-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Adjusted net national income (current US$)\n", - "Statistical=0.851, p=0.000\n", - "CRI-Adjusted net national income per capita (current US$)\n", - "Statistical=0.802, p=0.000\n", - "CRI-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.860, p=0.001\n", - "CRI-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.848, p=0.000\n", - "CRI-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.872, p=0.001\n", - "CRI-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.865, p=0.001\n", - "CRI-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.617, p=0.000\n", - "CRI-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.606, p=0.000\n", - "CRI-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.619, p=0.000\n", - "CRI-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.615, p=0.000\n", - "CRI-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.608, p=0.000\n", - "CRI-Age dependency ratio (% of working-age population)\n", - "Statistical=0.620, p=0.000\n", - "CRI-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.621, p=0.000\n", - "CRI-Agricultural land (% of land area)\n", - "Statistical=0.604, p=0.000\n", - "CRI-Agricultural land (sq. km)\n", - "Statistical=0.620, p=0.000\n", - "CRI-Agricultural methane emissions (% of total)\n", - "Statistical=0.892, p=0.004\n", - "CRI-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.919, p=0.020\n", - "CRI-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.909, p=0.011\n", - "CRI-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.972, p=0.542\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.919, p=0.019\n", - "CRI-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.858, p=0.001\n", - "CRI-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.982, p=0.863\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Aquaculture production (metric tons)\n", - "Statistical=0.905, p=0.008\n", - "CRI-Arable land (% of land area)\n", - "Statistical=0.853, p=0.000\n", - "CRI-Arable land (hectares per person)\n", - "Statistical=0.930, p=0.039\n", - "CRI-Arable land (hectares)\n", - "Statistical=0.852, p=0.000\n", - "CRI-Armed forces personnel (% of total labor force)\n", - "Statistical=0.924, p=0.027\n", - "CRI-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.853, p=0.000\n", - "CRI-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.926, p=0.031\n", - "CRI-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.924, p=0.027\n", - "CRI-Average precipitation in depth (mm per year)\n", - "Statistical=0.946, p=0.111\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Average time to clear exports through customs (days)\n", - "Statistical=0.879, p=0.002\n", - "CRI-Births attended by skilled health staff (% of total)\n", - "Statistical=0.881, p=0.002\n", - "CRI-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.816, p=0.000\n", - "CRI-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.965, p=0.370\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-CO2 emissions (kt)\n", - "Statistical=0.795, p=0.000\n", - "CRI-CO2 emissions (metric tons per capita)\n", - "Statistical=0.882, p=0.002\n", - "CRI-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.911, p=0.012\n", - "CRI-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=0.901, p=0.006\n", - "CRI-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=0.738, p=0.000\n", - "CRI-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.950, p=0.140\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.882, p=0.002\n", - "CRI-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.836, p=0.000\n", - "CRI-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.821, p=0.000\n", - "CRI-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.916, p=0.016\n", - "CRI-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=0.911, p=0.012\n", - "CRI-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=0.590, p=0.000\n", - "CRI-Capture fisheries production (metric tons)\n", - "Statistical=0.645, p=0.000\n", - "CRI-Cereal production (metric tons)\n", - "Statistical=0.845, p=0.000\n", - "CRI-Cereal yield (kg per hectare)\n", - "Statistical=0.901, p=0.006\n", - "CRI-Changes in inventories (current US$)\n", - "Statistical=0.891, p=0.004\n", - "CRI-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.679, p=0.000\n", - "CRI-Children out of school (% of primary school age)\n", - "Statistical=0.739, p=0.000\n", - "CRI-Coal rents (% of GDP)\n", - "Statistical=0.739, p=0.000\n", - "CRI-Combustible renewables and waste (% of total energy)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Commercial bank branches (per 100,000 adults)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Commercial service exports (current US$)\n", - "Statistical=0.732, p=0.000\n", - "CRI-Commercial service imports (current US$)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Completeness of birth registration (%)\n", - "Statistical=0.713, p=0.000\n", - "CRI-Consumer price index (2010 = 100)\n", - "Statistical=0.873, p=0.001\n", - "CRI-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.858, p=0.001\n", - "CRI-Crop production index (2014-2016 = 100)\n", - "Statistical=0.920, p=0.020\n", - "CRI-Current account balance (% of GDP)\n", - "Statistical=0.903, p=0.008\n", - "CRI-Current account balance (BoP, current US$)\n", - "Statistical=0.971, p=0.529\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Current health expenditure (% of GDP)\n", - "Statistical=0.949, p=0.135\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Current health expenditure per capita (current US$)\n", - "Statistical=0.949, p=0.135\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.907, p=0.009\n", - "CRI-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.930, p=0.038\n", - "CRI-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.929, p=0.037\n", - "CRI-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.826, p=0.000\n", - "CRI-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.916, p=0.016\n", - "CRI-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.917, p=0.017\n", - "CRI-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.586, p=0.000\n", - "CRI-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.586, p=0.000\n", - "CRI-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.586, p=0.000\n", - "CRI-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.586, p=0.000\n", - "CRI-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.586, p=0.000\n", - "CRI-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.890, p=0.003\n", - "CRI-Electric power consumption (kWh per capita)\n", - "Statistical=0.885, p=0.003\n", - "CRI-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.833, p=0.000\n", - "CRI-Electricity production from coal sources (% of total)\n", - "Statistical=0.885, p=0.003\n", - "CRI-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.839, p=0.000\n", - "CRI-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.813, p=0.000\n", - "CRI-Electricity production from nuclear sources (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Electricity production from oil sources (% of total)\n", - "Statistical=0.855, p=0.001\n", - "CRI-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.780, p=0.000\n", - "CRI-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.695, p=0.000\n", - "CRI-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=0.707, p=0.000\n", - "CRI-Energy related methane emissions (% of total)\n", - "Statistical=0.636, p=0.000\n", - "CRI-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.886, p=0.003\n", - "CRI-Export unit value index (2000 = 100)\n", - "Statistical=0.924, p=0.027\n", - "CRI-Export value index (2000 = 100)\n", - "Statistical=0.778, p=0.000\n", - "CRI-Export volume index (2000 = 100)\n", - "Statistical=0.791, p=0.000\n", - "CRI-Exports of goods and services (% of GDP)\n", - "Statistical=0.829, p=0.000\n", - "CRI-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.867, p=0.001\n", - "CRI-Exports of goods and services (current US$)\n", - "Statistical=0.867, p=0.001\n", - "CRI-External balance on goods and services (% of GDP)\n", - "Statistical=0.948, p=0.125\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-External balance on goods and services (current US$)\n", - "Statistical=0.924, p=0.027\n", - "CRI-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.943, p=0.093\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Final consumption expenditure (% of GDP)\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Final consumption expenditure (current US$)\n", - "Statistical=0.949, p=0.133\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.914, p=0.014\n", - "CRI-Firms offering formal training (% of firms)\n", - "Statistical=0.903, p=0.007\n", - "CRI-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.943, p=0.093\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Firms using banks to finance working capital (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Firms with female participation in ownership (% of firms)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Fixed broadband subscriptions\n", - "Statistical=0.889, p=0.003\n", - "CRI-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.876, p=0.002\n", - "CRI-Fixed telephone subscriptions\n", - "Statistical=0.887, p=0.003\n", - "CRI-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.846, p=0.000\n", - "CRI-Food exports (% of merchandise exports)\n", - "Statistical=0.910, p=0.011\n", - "CRI-Food imports (% of merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Food production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Forest area (% of land area)\n", - "Statistical=0.897, p=0.005\n", - "CRI-Forest area (sq. km)\n", - "Statistical=0.849, p=0.000\n", - "CRI-Forest rents (% of GDP)\n", - "Statistical=0.854, p=0.001\n", - "CRI-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.687, p=0.000\n", - "CRI-Fuel exports (% of merchandise exports)\n", - "Statistical=0.774, p=0.000\n", - "CRI-Fuel imports (% of merchandise imports)\n", - "Statistical=0.600, p=0.000\n", - "CRI-GDP (current US$)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-GDP deflator (base year varies by country)\n", - "Statistical=0.946, p=0.109\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.965, p=0.366\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-GDP growth (annual %)\n", - "Statistical=0.970, p=0.498\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-GDP per capita (current US$)\n", - "Statistical=0.763, p=0.000\n", - "CRI-GDP per capita growth (annual %)\n", - "Statistical=0.725, p=0.000\n", - "CRI-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.861, p=0.001\n", - "CRI-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.892, p=0.004\n", - "CRI-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.922, p=0.024\n", - "CRI-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.912, p=0.013\n", - "CRI-GNI (current US$)\n", - "Statistical=0.885, p=0.003\n", - "CRI-GNI growth (annual %)\n", - "Statistical=0.918, p=0.018\n", - "CRI-GNI per capita growth (annual %)\n", - "Statistical=0.908, p=0.010\n", - "CRI-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.961, p=0.301\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-General government final consumption expenditure (current US$)\n", - "Statistical=0.930, p=0.040\n", - "CRI-Gini index\n", - "Statistical=0.970, p=0.500\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Goods exports (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Goods imports (BoP, current US$)\n", - "Statistical=0.947, p=0.115\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Grants and other revenue (% of revenue)\n", - "Statistical=0.803, p=0.000\n", - "CRI-Gross capital formation (% of GDP)\n", - "Statistical=0.915, p=0.015\n", - "CRI-Gross capital formation (current US$)\n", - "Statistical=0.868, p=0.001\n", - "CRI-Gross domestic savings (% of GDP)\n", - "Statistical=0.886, p=0.003\n", - "CRI-Gross domestic savings (current US$)\n", - "Statistical=0.923, p=0.025\n", - "CRI-Gross fixed capital formation (% of GDP)\n", - "Statistical=0.596, p=0.000\n", - "CRI-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Gross national expenditure (current US$)\n", - "Statistical=0.602, p=0.000\n", - "CRI-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.887, p=0.003\n", - "CRI-Gross savings (% of GDP)\n", - "Statistical=0.912, p=0.013\n", - "CRI-Gross savings (current US$)\n", - "Statistical=0.890, p=0.004\n", - "CRI-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.822, p=0.000\n", - "CRI-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.900, p=0.006\n", - "CRI-High-technology exports (% of manufactured exports)\n", - "Statistical=0.946, p=0.112\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-High-technology exports (current US$)\n", - "Statistical=0.969, p=0.470\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Hospital beds (per 1,000 people)\n", - "Statistical=0.909, p=0.011\n", - "CRI-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.800, p=0.000\n", - "CRI-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.800, p=0.000\n", - "CRI-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.800, p=0.000\n", - "CRI-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=0.478, p=0.000\n", - "CRI-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=0.478, p=0.000\n", - "CRI-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.978, p=0.749\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.875, p=0.002\n", - "CRI-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.816, p=0.000\n", - "CRI-ICT goods exports (% of total goods exports)\n", - "Statistical=0.785, p=0.000\n", - "CRI-ICT goods imports (% total goods imports)\n", - "Statistical=0.847, p=0.000\n", - "CRI-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.866, p=0.001\n", - "CRI-ICT service exports (BoP, current US$)\n", - "Statistical=0.771, p=0.000\n", - "CRI-Import unit value index (2000 = 100)\n", - "Statistical=0.826, p=0.000\n", - "CRI-Import value index (2000 = 100)\n", - "Statistical=0.745, p=0.000\n", - "CRI-Import volume index (2000 = 100)\n", - "Statistical=0.846, p=0.000\n", - "CRI-Imports of goods and services (% of GDP)\n", - "Statistical=0.867, p=0.001\n", - "CRI-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.862, p=0.001\n", - "CRI-Imports of goods and services (current US$)\n", - "Statistical=0.922, p=0.024\n", - "CRI-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "CRI-Income share held by highest 10%\n", - "Statistical=0.261, p=0.000\n", - "CRI-Income share held by highest 20%\n", - "Statistical=0.887, p=0.003\n", - "CRI-Income share held by lowest 10%\n", - "Statistical=0.778, p=0.000\n", - "CRI-Income share held by lowest 20%\n", - "Statistical=0.905, p=0.008\n", - "CRI-Income share held by second 20%\n", - "Statistical=0.817, p=0.000\n", - "CRI-Income share held by third 20%\n", - "Statistical=0.814, p=0.000\n", - "CRI-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.836, p=0.000\n", - "CRI-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.769, p=0.000\n", - "CRI-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.819, p=0.000\n", - "CRI-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.810, p=0.000\n", - "CRI-Individuals using the Internet (% of population)\n", - "Statistical=0.778, p=0.000\n", - "CRI-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.843, p=0.000\n", - "CRI-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.450, p=0.000\n", - "CRI-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.724, p=0.000\n", - "CRI-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.741, p=0.000\n", - "CRI-Intentional homicides (per 100,000 people)\n", - "Statistical=0.733, p=0.000\n", - "CRI-Interest payments (% of revenue)\n", - "Statistical=0.756, p=0.000\n", - "CRI-International migrant stock (% of population)\n", - "Statistical=0.754, p=0.000\n", - "CRI-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.757, p=0.000\n", - "CRI-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.734, p=0.000\n", - "CRI-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.809, p=0.000\n", - "CRI-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.719, p=0.000\n", - "CRI-Land area (sq. km)\n", - "Statistical=0.756, p=0.000\n", - "CRI-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.756, p=0.000\n", - "CRI-Land under cereal production (hectares)\n", - "Statistical=0.754, p=0.000\n", - "CRI-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.847, p=0.000\n", - "CRI-Lifetime risk of maternal death (%)\n", - "Statistical=0.801, p=0.000\n", - "CRI-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.963, p=0.337\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Livestock production index (2014-2016 = 100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.859, p=0.001\n", - "CRI-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.859, p=0.001\n", - "CRI-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.886, p=0.003\n", - "CRI-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.866, p=0.001\n", - "CRI-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.874, p=0.001\n", - "CRI-Low-birthweight babies (% of births)\n", - "Statistical=0.873, p=0.001\n", - "CRI-Lower secondary school starting age (years)\n", - "Statistical=0.901, p=0.007\n", - "CRI-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.956, p=0.216\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.872, p=0.001\n", - "CRI-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Marine protected areas (% of territorial waters)\n", - "Statistical=0.902, p=0.007\n", - "CRI-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.933, p=0.046\n", - "CRI-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.924, p=0.028\n", - "CRI-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.912, p=0.012\n", - "CRI-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.927, p=0.033\n", - "CRI-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.930, p=0.040\n", - "CRI-Merchandise exports (current US$)\n", - "Statistical=0.842, p=0.000\n", - "CRI-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.883, p=0.002\n", - "CRI-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.973, p=0.592\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.976, p=0.678\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.932, p=0.045\n", - "CRI-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.930, p=0.039\n", - "CRI-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.932, p=0.043\n", - "CRI-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.917, p=0.018\n", - "CRI-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.930, p=0.040\n", - "CRI-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.854, p=0.001\n", - "CRI-Merchandise imports (current US$)\n", - "Statistical=0.920, p=0.020\n", - "CRI-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.815, p=0.000\n", - "CRI-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.804, p=0.000\n", - "CRI-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.889, p=0.003\n", - "CRI-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.875, p=0.002\n", - "CRI-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.951, p=0.158\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.926, p=0.030\n", - "CRI-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.904, p=0.008\n", - "CRI-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.928, p=0.034\n", - "CRI-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.910, p=0.011\n", - "CRI-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.923, p=0.025\n", - "CRI-Merchandise trade (% of GDP)\n", - "Statistical=0.957, p=0.222\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Methane emissions (% change from 1990)\n", - "Statistical=0.951, p=0.154\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.951, p=0.154\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.906, p=0.009\n", - "CRI-Military expenditure (% of GDP)\n", - "Statistical=0.924, p=0.027\n", - "CRI-Military expenditure (% of general government expenditure)\n", - "Statistical=0.925, p=0.029\n", - "CRI-Military expenditure (current USD)\n", - "Statistical=0.978, p=0.743\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Mineral rents (% of GDP)\n", - "Statistical=0.403, p=0.000\n", - "CRI-Mobile cellular subscriptions\n", - "Statistical=0.939, p=0.070\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.948, p=0.125\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.798, p=0.000\n", - "CRI-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.873, p=0.001\n", - "CRI-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.826, p=0.000\n", - "CRI-Natural gas rents (% of GDP)\n", - "Statistical=0.851, p=0.000\n", - "CRI-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.590, p=0.000\n", - "CRI-Net capital account (BoP, current US$)\n", - "Statistical=0.955, p=0.203\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Net financial account (BoP, current US$)\n", - "Statistical=0.968, p=0.458\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Net migration\n", - "Statistical=0.914, p=0.014\n", - "CRI-Net primary income (BoP, current US$)\n", - "Statistical=0.914, p=0.014\n", - "CRI-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.868, p=0.001\n", - "CRI-Net secondary income (BoP, current US$)\n", - "Statistical=0.855, p=0.001\n", - "CRI-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Net trade in goods (BoP, current US$)\n", - "Statistical=0.695, p=0.000\n", - "CRI-Net trade in goods and services (BoP, current US$)\n", - "Statistical=0.695, p=0.000\n", - "CRI-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=0.695, p=0.000\n", - "CRI-New businesses registered (number)\n", - "Statistical=0.695, p=0.000\n", - "CRI-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.766, p=0.000\n", - "CRI-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.772, p=0.000\n", - "CRI-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.959, p=0.266\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Number of deaths ages 10-14 years\n", - "Statistical=0.930, p=0.039\n", - "CRI-Number of deaths ages 15-19 years\n", - "Statistical=0.896, p=0.005\n", - "CRI-Number of deaths ages 20-24 years\n", - "Statistical=0.946, p=0.113\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Number of deaths ages 5-9 years\n", - "Statistical=0.930, p=0.039\n", - "CRI-Number of infant deaths\n", - "Statistical=0.952, p=0.165\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Number of maternal deaths\n", - "Statistical=0.896, p=0.005\n", - "CRI-Number of neonatal deaths\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Number of under-five deaths\n", - "Statistical=0.886, p=0.003\n", - "CRI-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.880, p=0.002\n", - "CRI-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.864, p=0.001\n", - "CRI-Oil rents (% of GDP)\n", - "Statistical=0.813, p=0.000\n", - "CRI-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.813, p=0.000\n", - "CRI-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.829, p=0.000\n", - "CRI-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.847, p=0.000\n", - "CRI-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.883, p=0.002\n", - "CRI-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.972, p=0.568\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.928, p=0.034\n", - "CRI-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.928, p=0.034\n", - "CRI-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.868, p=0.001\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CRI-People using at least basic drinking water services (% of population)\n", - "Statistical=0.859, p=0.001\n", - "CRI-People using at least basic sanitation services (% of population)\n", - "Statistical=0.896, p=0.005\n", - "CRI-People using safely managed sanitation services (% of population)\n", - "Statistical=0.896, p=0.005\n", - "CRI-Permanent cropland (% of land area)\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Physicians (per 1,000 people)\n", - "Statistical=0.923, p=0.024\n", - "CRI-Population ages 0-14 (% of total population)\n", - "Statistical=0.923, p=0.024\n", - "CRI-Population ages 15-64 (% of total population)\n", - "Statistical=0.878, p=0.002\n", - "CRI-Population ages 65 and above (% of total population)\n", - "Statistical=0.856, p=0.001\n", - "CRI-Population density (people per sq. km of land area)\n", - "Statistical=0.984, p=0.901\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Population growth (annual %)\n", - "Statistical=0.923, p=0.024\n", - "CRI-Population in largest city\n", - "Statistical=0.895, p=0.005\n", - "CRI-Population in the largest city (% of urban population)\n", - "Statistical=0.888, p=0.003\n", - "CRI-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.898, p=0.005\n", - "CRI-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.908, p=0.010\n", - "CRI-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.928, p=0.034\n", - "CRI-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.893, p=0.004\n", - "CRI-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.868, p=0.001\n", - "CRI-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.925, p=0.028\n", - "CRI-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.925, p=0.028\n", - "CRI-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.868, p=0.001\n", - "CRI-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.857, p=0.001\n", - "CRI-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.957, p=0.228\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.916, p=0.016\n", - "CRI-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.916, p=0.016\n", - "CRI-Prevalence of undernourishment (% of population)\n", - "Statistical=0.877, p=0.002\n", - "CRI-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.953, p=0.175\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Primary income payments (BoP, current US$)\n", - "Statistical=0.868, p=0.001\n", - "CRI-Primary income receipts (BoP, current US$)\n", - "Statistical=0.916, p=0.016\n", - "CRI-Primary school starting age (years)\n", - "Statistical=0.898, p=0.005\n", - "CRI-Private credit bureau coverage (% of adults)\n", - "Statistical=0.868, p=0.001\n", - "CRI-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.925, p=0.028\n", - "CRI-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.895, p=0.005\n", - "CRI-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.868, p=0.001\n", - "CRI-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.887, p=0.003\n", - "CRI-Procedures to build a warehouse (number)\n", - "Statistical=0.963, p=0.328\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Procedures to register property (number)\n", - "Statistical=0.920, p=0.021\n", - "CRI-Profit tax (% of commercial profits)\n", - "Statistical=0.920, p=0.021\n", - "CRI-Progression to secondary school (%)\n", - "Statistical=0.848, p=0.000\n", - "CRI-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.830, p=0.000\n", - "CRI-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.951, p=0.153\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.925, p=0.028\n", - "CRI-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.889, p=0.003\n", - "CRI-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.881, p=0.002\n", - "CRI-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.944, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Public credit registry coverage (% of adults)\n", - "Statistical=0.883, p=0.002\n", - "CRI-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.808, p=0.000\n", - "CRI-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.869, p=0.001\n", - "CRI-Rail lines (total route-km)\n", - "Statistical=0.904, p=0.008\n", - "CRI-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.888, p=0.003\n", - "CRI-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.906, p=0.009\n", - "CRI-Refugee population by country or territory of asylum\n", - "Statistical=0.972, p=0.544\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Refugee population by country or territory of origin\n", - "Statistical=0.980, p=0.800\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.930, p=0.040\n", - "CRI-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.930, p=0.040\n", - "CRI-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.866, p=0.001\n", - "CRI-Research and development expenditure (% of GDP)\n", - "Statistical=0.857, p=0.001\n", - "CRI-Researchers in R&D (per million people)\n", - "Statistical=0.927, p=0.032\n", - "CRI-Reserves and related items (BoP, current US$)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.866, p=0.001\n", - "CRI-Rural land area (sq. km)\n", - "Statistical=0.866, p=0.001\n", - "CRI-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.940, p=0.075\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.958, p=0.241\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Rural population\n", - "Statistical=0.930, p=0.040\n", - "CRI-Rural population (% of total population)\n", - "Statistical=0.930, p=0.040\n", - "CRI-Rural population growth (annual %)\n", - "Statistical=0.862, p=0.001\n", - "CRI-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.857, p=0.001\n", - "CRI-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.963, p=0.328\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Scientific and technical journal articles\n", - "Statistical=0.964, p=0.360\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.962, p=0.316\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Secure Internet servers\n", - "Statistical=0.978, p=0.743\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Secure Internet servers (per 1 million people)\n", - "Statistical=0.918, p=0.018\n", - "CRI-Service exports (BoP, current US$)\n", - "Statistical=0.918, p=0.018\n", - "CRI-Service imports (BoP, current US$)\n", - "Statistical=0.867, p=0.001\n", - "CRI-Sex ratio at birth (male births per female births)\n", - "Statistical=0.854, p=0.001\n", - "CRI-Social contributions (% of revenue)\n", - "Statistical=0.888, p=0.003\n", - "CRI-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Start-up procedures to register a business (number)\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.870, p=0.001\n", - "CRI-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.879, p=0.002\n", - "CRI-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.925, p=0.028\n", - "CRI-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.925, p=0.028\n", - "CRI-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.867, p=0.001\n", - "CRI-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.855, p=0.001\n", - "CRI-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.632, p=0.000\n", - "CRI-Surface area (sq. km)\n", - "Statistical=0.690, p=0.000\n", - "CRI-Tax payments (number)\n", - "Statistical=0.855, p=0.001\n", - "CRI-Tax revenue (% of GDP)\n", - "Statistical=0.962, p=0.306\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Taxes less subsidies on products (current US$)\n", - "Statistical=0.912, p=0.013\n", - "CRI-Taxes on goods and services (% of revenue)\n", - "Statistical=0.912, p=0.013\n", - "CRI-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.873, p=0.001\n", - "CRI-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.863, p=0.001\n", - "CRI-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.891, p=0.004\n", - "CRI-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.973, p=0.597\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Time required to build a warehouse (days)\n", - "Statistical=0.912, p=0.013\n", - "CRI-Time required to enforce a contract (days)\n", - "Statistical=0.912, p=0.013\n", - "CRI-Time required to get electricity (days)\n", - "Statistical=0.954, p=0.183\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Time required to register property (days)\n", - "Statistical=0.873, p=0.001\n", - "CRI-Time required to start a business (days)\n", - "Statistical=0.644, p=0.000\n", - "CRI-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.679, p=0.000\n", - "CRI-Time to obtain an electrical connection (days)\n", - "Statistical=0.674, p=0.000\n", - "CRI-Time to prepare and pay taxes (hours)\n", - "Statistical=0.548, p=0.000\n", - "CRI-Time to resolve insolvency (years)\n", - "Statistical=0.637, p=0.000\n", - "CRI-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.580, p=0.000\n", - "CRI-Total fisheries production (metric tons)\n", - "Statistical=0.680, p=0.000\n", - "CRI-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.611, p=0.000\n", - "CRI-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.649, p=0.000\n", - "CRI-Total natural resources rents (% of GDP)\n", - "Statistical=0.788, p=0.000\n", - "CRI-Total reserves (includes gold, current US$)\n", - "Statistical=0.865, p=0.001\n", - "CRI-Total reserves in months of imports\n", - "Statistical=0.879, p=0.002\n", - "CRI-Total reserves minus gold (current US$)\n", - "Statistical=0.809, p=0.000\n", - "CRI-Total tax and contribution rate (% of profit)\n", - "Statistical=0.936, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Trade (% of GDP)\n", - "Statistical=0.891, p=0.004\n", - "CRI-Trade in services (% of GDP)\n", - "Statistical=0.949, p=0.133\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Transport services (% of commercial service exports)\n", - "Statistical=0.953, p=0.177\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Transport services (% of commercial service imports)\n", - "Statistical=0.903, p=0.008\n", - "CRI-Transport services (% of service exports, BoP)\n", - "Statistical=0.915, p=0.015\n", - "CRI-Transport services (% of service imports, BoP)\n", - "Statistical=0.925, p=0.028\n", - "CRI-Travel services (% of commercial service exports)\n", - "Statistical=0.905, p=0.008\n", - "CRI-Travel services (% of commercial service imports)\n", - "Statistical=0.979, p=0.776\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Travel services (% of service exports, BoP)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Travel services (% of service imports, BoP)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.898, p=0.006\n", - "CRI-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.906, p=0.009\n", - "CRI-UHC service coverage index\n", - "Statistical=0.916, p=0.016\n", - "CRI-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.890, p=0.004\n", - "CRI-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.965, p=0.384\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.944, p=0.096\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Urban land area (sq. km)\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.882, p=0.002\n", - "CRI-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.931, p=0.042\n", - "CRI-Urban population\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Urban population (% of total population)\n", - "Statistical=0.884, p=0.003\n", - "CRI-Urban population growth (annual %)\n", - "Statistical=0.748, p=0.000\n", - "CRI-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.748, p=0.000\n", - "CRI-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.887, p=0.003\n", - "CRI-GDP (current US$)+1\n", - "Statistical=0.887, p=0.003\n", - "CRI-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-GDP (current US$)+2\n", - "Statistical=0.770, p=0.000\n", - "CRI-GDP (current US$)+3\n", - "Statistical=0.606, p=0.000\n", - "CRI-GDP (current US$)+5\n", - "Statistical=0.927, p=0.032\n", - "CRI-GDP (current US$)+8\n", - "Statistical=0.962, p=0.321\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-GDP (current US$)+13\n", - "Statistical=0.906, p=0.009\n", - "CRI-GDP (current US$)+21\n", - "Statistical=0.906, p=0.009\n", - "CRI-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.879, p=0.002\n", - "CRI-Deposit interest rate (%)\n", - "Statistical=0.867, p=0.001\n", - "CRI-Other taxes (% of revenue)\n", - "Statistical=0.960, p=0.278\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.962, p=0.312\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Taxes on international trade (% of revenue)\n", - "Statistical=0.962, p=0.312\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.951, p=0.157\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Broad money (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Broad money growth (annual %)\n", - "Statistical=0.926, p=0.030\n", - "CRI-Broad money to total reserves ratio\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.925, p=0.028\n", - "CRI-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.892, p=0.004\n", - "CRI-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.946, p=0.111\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-External health expenditure (% of current health expenditure)\n", - "Statistical=0.883, p=0.002\n", - "CRI-External health expenditure per capita (current US$)\n", - "Statistical=0.702, p=0.000\n", - "CRI-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.823, p=0.000\n", - "CRI-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.884, p=0.003\n", - "CRI-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.878, p=0.002\n", - "CRI-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-People practicing open defecation (% of population)\n", - "Statistical=0.908, p=0.010\n", - "CRI-Taxes on exports (% of tax revenue)\n", - "Statistical=0.808, p=0.000\n", - "CRI-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.879, p=0.002\n", - "CRI-Country\n", - "Statistical=0.919, p=0.019\n", - "CRI-Year\n", - "Statistical=0.911, p=0.012\n", - "CRI-Continent\n", - "Statistical=0.920, p=0.020\n", - "USA-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Adjusted net national income (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Adjusted net national income per capita (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Adjusted savings: education expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Adjusted savings: energy depletion (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.616, p=0.000\n", - "USA-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.632, p=0.000\n", - "USA-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.580, p=0.000\n", - "USA-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.626, p=0.000\n", - "USA-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.641, p=0.000\n", - "USA-Age dependency ratio (% of working-age population)\n", - "Statistical=0.620, p=0.000\n", - "USA-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.619, p=0.000\n", - "USA-Agricultural land (% of land area)\n", - "Statistical=0.603, p=0.000\n", - "USA-Agricultural land (sq. km)\n", - "Statistical=0.611, p=0.000\n", - "USA-Agricultural methane emissions (% of total)\n", - "Statistical=0.755, p=0.000\n", - "USA-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.745, p=0.000\n", - "USA-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.764, p=0.000\n", - "USA-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.986, p=0.946\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.943, p=0.089\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.978, p=0.747\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Aquaculture production (metric tons)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Arable land (% of land area)\n", - "Statistical=0.947, p=0.117\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Arable land (hectares per person)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Arable land (hectares)\n", - "Statistical=0.970, p=0.509\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Armed forces personnel (% of total labor force)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.971, p=0.519\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.875, p=0.001\n", - "USA-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.944, p=0.097\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Average precipitation in depth (mm per year)\n", - "Statistical=0.964, p=0.351\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Average time to clear exports through customs (days)\n", - "Statistical=0.931, p=0.042\n", - "USA-Births attended by skilled health staff (% of total)\n", - "Statistical=0.903, p=0.007\n", - "USA-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.942, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.978, p=0.752\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.984, p=0.896\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.975, p=0.646\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-CO2 emissions (kt)\n", - "Statistical=0.933, p=0.047\n", - "USA-CO2 emissions (metric tons per capita)\n", - "Statistical=0.857, p=0.001\n", - "USA-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.974, p=0.621\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.946, p=0.109\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.884, p=0.003\n", - "USA-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Capture fisheries production (metric tons)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Cereal production (metric tons)\n", - "Statistical=0.916, p=0.016\n", - "USA-Cereal yield (kg per hectare)\n", - "Statistical=0.785, p=0.000\n", - "USA-Changes in inventories (current US$)\n", - "Statistical=0.900, p=0.006\n", - "USA-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.774, p=0.000\n", - "USA-Children out of school (% of primary school age)\n", - "Statistical=0.905, p=0.008\n", - "USA-Coal rents (% of GDP)\n", - "Statistical=0.907, p=0.010\n", - "USA-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.853, p=0.000\n", - "USA-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.743, p=0.000\n", - "USA-Commercial service exports (current US$)\n", - "Statistical=0.753, p=0.000\n", - "USA-Commercial service imports (current US$)\n", - "Statistical=0.963, p=0.332\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Completeness of birth registration (%)\n", - "Statistical=0.825, p=0.000\n", - "USA-Consumer price index (2010 = 100)\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.856, p=0.001\n", - "USA-Crop production index (2014-2016 = 100)\n", - "Statistical=0.866, p=0.001\n", - "USA-Current account balance (% of GDP)\n", - "Statistical=0.886, p=0.003\n", - "USA-Current account balance (BoP, current US$)\n", - "Statistical=0.966, p=0.400\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Current health expenditure (% of GDP)\n", - "Statistical=0.912, p=0.013\n", - "USA-Current health expenditure per capita (current US$)\n", - "Statistical=0.912, p=0.013\n", - "USA-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.874, p=0.001\n", - "USA-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.874, p=0.001\n", - "USA-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.890, p=0.003\n", - "USA-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.860, p=0.001\n", - "USA-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.977, p=0.703\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.886, p=0.003\n", - "USA-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.887, p=0.003\n", - "USA-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.739, p=0.000\n", - "USA-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.866, p=0.001\n", - "USA-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.782, p=0.000\n", - "USA-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.883, p=0.002\n", - "USA-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.883, p=0.002\n", - "USA-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.984, p=0.912\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Electric power consumption (kWh per capita)\n", - "Statistical=0.865, p=0.001\n", - "USA-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.885, p=0.003\n", - "USA-Electricity production from coal sources (% of total)\n", - "Statistical=0.865, p=0.001\n", - "USA-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.885, p=0.003\n", - "USA-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.925, p=0.029\n", - "USA-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.974, p=0.611\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Electricity production from oil sources (% of total)\n", - "Statistical=0.961, p=0.298\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.683, p=0.000\n", - "USA-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Energy use (kg of oil equivalent per capita)\n", - "Statistical=0.637, p=0.000\n", - "USA-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.959, p=0.263\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Export unit value index (2000 = 100)\n", - "Statistical=0.849, p=0.000\n", - "USA-Export value index (2000 = 100)\n", - "Statistical=0.912, p=0.013\n", - "USA-Export volume index (2000 = 100)\n", - "Statistical=0.778, p=0.000\n", - "USA-Exports of goods and services (% of GDP)\n", - "Statistical=0.795, p=0.000\n", - "USA-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.914, p=0.014\n", - "USA-Exports of goods and services (current US$)\n", - "Statistical=0.920, p=0.021\n", - "USA-External balance on goods and services (% of GDP)\n", - "Statistical=0.962, p=0.309\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-External balance on goods and services (current US$)\n", - "Statistical=0.950, p=0.142\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.914, p=0.014\n", - "USA-Final consumption expenditure (% of GDP)\n", - "Statistical=0.914, p=0.014\n", - "USA-Final consumption expenditure (current US$)\n", - "Statistical=0.917, p=0.017\n", - "USA-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.875, p=0.001\n", - "USA-Firms offering formal training (% of firms)\n", - "Statistical=0.853, p=0.000\n", - "USA-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.907, p=0.010\n", - "USA-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.805, p=0.000\n", - "USA-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.904, p=0.008\n", - "USA-Fixed broadband subscriptions\n", - "Statistical=0.903, p=0.007\n", - "USA-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.932, p=0.045\n", - "USA-Fixed telephone subscriptions\n", - "Statistical=0.821, p=0.000\n", - "USA-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.903, p=0.007\n", - "USA-Food exports (% of merchandise exports)\n", - "Statistical=0.970, p=0.498\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Food imports (% of merchandise imports)\n", - "Statistical=0.811, p=0.000\n", - "USA-Food production index (2014-2016 = 100)\n", - "Statistical=0.885, p=0.003\n", - "USA-Forest area (% of land area)\n", - "Statistical=0.899, p=0.006\n", - "USA-Forest area (sq. km)\n", - "Statistical=0.877, p=0.002\n", - "USA-Forest rents (% of GDP)\n", - "Statistical=0.942, p=0.087\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.534, p=0.000\n", - "USA-Fuel exports (% of merchandise exports)\n", - "Statistical=0.859, p=0.001\n", - "USA-Fuel imports (% of merchandise imports)\n", - "Statistical=0.845, p=0.000\n", - "USA-GDP (current US$)\n", - "Statistical=0.962, p=0.306\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-GDP deflator (base year varies by country)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.945, p=0.103\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-GDP growth (annual %)\n", - "Statistical=0.945, p=0.103\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-GDP per capita (current US$)\n", - "Statistical=0.922, p=0.023\n", - "USA-GDP per capita growth (annual %)\n", - "Statistical=0.865, p=0.001\n", - "USA-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.816, p=0.000\n", - "USA-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.775, p=0.000\n", - "USA-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.733, p=0.000\n", - "USA-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.801, p=0.000\n", - "USA-GNI (current US$)\n", - "Statistical=0.771, p=0.000\n", - "USA-GNI growth (annual %)\n", - "Statistical=0.734, p=0.000\n", - "USA-GNI per capita growth (annual %)\n", - "Statistical=0.798, p=0.000\n", - "USA-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.949, p=0.135\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-General government final consumption expenditure (current US$)\n", - "Statistical=0.871, p=0.001\n", - "USA-Gini index\n", - "Statistical=0.976, p=0.690\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Goods exports (BoP, current US$)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Goods imports (BoP, current US$)\n", - "Statistical=0.855, p=0.001\n", - "USA-Grants and other revenue (% of revenue)\n", - "Statistical=0.889, p=0.003\n", - "USA-Gross capital formation (% of GDP)\n", - "Statistical=0.901, p=0.007\n", - "USA-Gross capital formation (current US$)\n", - "Statistical=0.915, p=0.016\n", - "USA-Gross domestic savings (% of GDP)\n", - "Statistical=0.925, p=0.029\n", - "USA-Gross domestic savings (current US$)\n", - "Statistical=0.866, p=0.001\n", - "USA-Gross fixed capital formation (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Gross fixed capital formation (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Gross national expenditure (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.896, p=0.005\n", - "USA-Gross savings (% of GDP)\n", - "Statistical=0.911, p=0.012\n", - "USA-Gross savings (current US$)\n", - "Statistical=0.954, p=0.192\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.858, p=0.001\n", - "USA-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.970, p=0.489\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-High-technology exports (% of manufactured exports)\n", - "Statistical=0.965, p=0.367\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-High-technology exports (current US$)\n", - "Statistical=0.872, p=0.001\n", - "USA-Hospital beds (per 1,000 people)\n", - "Statistical=0.885, p=0.003\n", - "USA-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.885, p=0.003\n", - "USA-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.531, p=0.000\n", - "USA-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.531, p=0.000\n", - "USA-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.531, p=0.000\n", - "USA-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.979, p=0.772\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.949, p=0.139\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.957, p=0.232\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=0.485, p=0.000\n", - "USA-ICT goods exports (% of total goods exports)\n", - "Statistical=0.485, p=0.000\n", - "USA-ICT goods imports (% total goods imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.818, p=0.000\n", - "USA-ICT service exports (BoP, current US$)\n", - "Statistical=0.861, p=0.001\n", - "USA-Import unit value index (2000 = 100)\n", - "Statistical=0.861, p=0.001\n", - "USA-Import value index (2000 = 100)\n", - "Statistical=0.904, p=0.008\n", - "USA-Import volume index (2000 = 100)\n", - "Statistical=0.841, p=0.000\n", - "USA-Imports of goods and services (% of GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.918, p=0.018\n", - "USA-Imports of goods and services (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "USA-Income share held by highest 10%\n", - "Statistical=0.912, p=0.013\n", - "USA-Income share held by highest 20%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Income share held by lowest 10%\n", - "Statistical=0.908, p=0.010\n", - "USA-Income share held by lowest 20%\n", - "Statistical=0.974, p=0.603\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Income share held by second 20%\n", - "Statistical=0.827, p=0.000\n", - "USA-Income share held by third 20%\n", - "Statistical=0.804, p=0.000\n", - "USA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.818, p=0.000\n", - "USA-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.853, p=0.000\n", - "USA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.853, p=0.000\n", - "USA-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.804, p=0.000\n", - "USA-Individuals using the Internet (% of population)\n", - "Statistical=0.866, p=0.001\n", - "USA-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.866, p=0.001\n", - "USA-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.484, p=0.000\n", - "USA-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.803, p=0.000\n", - "USA-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.790, p=0.000\n", - "USA-Intentional homicides (per 100,000 people)\n", - "Statistical=0.798, p=0.000\n", - "USA-Interest payments (% of revenue)\n", - "Statistical=0.800, p=0.000\n", - "USA-International migrant stock (% of population)\n", - "Statistical=0.793, p=0.000\n", - "USA-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=0.799, p=0.000\n", - "USA-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=0.968, p=0.452\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=0.748, p=0.000\n", - "USA-Labor tax and contributions (% of commercial profits)\n", - "Statistical=0.951, p=0.150\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Land area (sq. km)\n", - "Statistical=0.797, p=0.000\n", - "USA-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.772, p=0.000\n", - "USA-Land under cereal production (hectares)\n", - "Statistical=0.787, p=0.000\n", - "USA-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.919, p=0.020\n", - "USA-Lifetime risk of maternal death (%)\n", - "Statistical=0.839, p=0.000\n", - "USA-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.805, p=0.000\n", - "USA-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.902, p=0.007\n", - "USA-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.870, p=0.001\n", - "USA-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=0.956, p=0.208\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.841, p=0.000\n", - "USA-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.903, p=0.007\n", - "USA-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.754, p=0.000\n", - "USA-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.764, p=0.000\n", - "USA-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Low-birthweight babies (% of births)\n", - "Statistical=0.933, p=0.047\n", - "USA-Lower secondary school starting age (years)\n", - "Statistical=0.853, p=0.000\n", - "USA-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.894, p=0.004\n", - "USA-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.851, p=0.000\n", - "USA-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.836, p=0.000\n", - "USA-Marine protected areas (% of territorial waters)\n", - "Statistical=0.824, p=0.000\n", - "USA-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.825, p=0.000\n", - "USA-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.833, p=0.000\n", - "USA-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.823, p=0.000\n", - "USA-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.833, p=0.000\n", - "USA-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Merchandise exports (current US$)\n", - "Statistical=0.892, p=0.004\n", - "USA-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=0.895, p=0.005\n", - "USA-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.941, p=0.081\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.931, p=0.041\n", - "USA-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.926, p=0.030\n", - "USA-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=0.935, p=0.055\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.885, p=0.003\n", - "USA-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=0.913, p=0.013\n", - "USA-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.901, p=0.007\n", - "USA-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=0.917, p=0.017\n", - "USA-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.903, p=0.007\n", - "USA-Merchandise imports (current US$)\n", - "Statistical=0.847, p=0.000\n", - "USA-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.896, p=0.005\n", - "USA-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.812, p=0.000\n", - "USA-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.898, p=0.005\n", - "USA-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.540, p=0.000\n", - "USA-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.956, p=0.215\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.884, p=0.002\n", - "USA-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.926, p=0.030\n", - "USA-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=0.945, p=0.106\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.924, p=0.026\n", - "USA-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.897, p=0.005\n", - "USA-Merchandise trade (% of GDP)\n", - "Statistical=0.972, p=0.558\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Methane emissions (% change from 1990)\n", - "Statistical=0.928, p=0.035\n", - "USA-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=0.928, p=0.035\n", - "USA-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.901, p=0.006\n", - "USA-Military expenditure (% of GDP)\n", - "Statistical=0.901, p=0.006\n", - "USA-Military expenditure (% of general government expenditure)\n", - "Statistical=0.896, p=0.005\n", - "USA-Military expenditure (current USD)\n", - "Statistical=0.949, p=0.138\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Mineral rents (% of GDP)\n", - "Statistical=0.913, p=0.014\n", - "USA-Mobile cellular subscriptions\n", - "Statistical=0.899, p=0.006\n", - "USA-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.899, p=0.006\n", - "USA-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Natural gas rents (% of GDP)\n", - "Statistical=0.890, p=0.004\n", - "USA-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.840, p=0.000\n", - "USA-Net capital account (BoP, current US$)\n", - "Statistical=0.933, p=0.047\n", - "USA-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.959, p=0.255\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Net financial account (BoP, current US$)\n", - "Statistical=0.951, p=0.153\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Net migration\n", - "Statistical=0.931, p=0.042\n", - "USA-Net primary income (BoP, current US$)\n", - "Statistical=0.931, p=0.042\n", - "USA-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Net secondary income (BoP, current US$)\n", - "Statistical=0.937, p=0.061\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Net trade in goods (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Net trade in goods and services (BoP, current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-New businesses registered (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.844, p=0.000\n", - "USA-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.832, p=0.000\n", - "USA-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.959, p=0.264\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Number of deaths ages 10-14 years\n", - "Statistical=0.931, p=0.041\n", - "USA-Number of deaths ages 15-19 years\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Number of deaths ages 20-24 years\n", - "Statistical=0.962, p=0.304\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Number of deaths ages 5-9 years\n", - "Statistical=0.963, p=0.322\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Number of infant deaths\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Number of maternal deaths\n", - "Statistical=0.953, p=0.176\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Number of neonatal deaths\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Number of under-five deaths\n", - "Statistical=0.963, p=0.328\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.981, p=0.830\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.965, p=0.376\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Oil rents (% of GDP)\n", - "Statistical=0.838, p=0.000\n", - "USA-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.846, p=0.000\n", - "USA-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.853, p=0.000\n", - "USA-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.821, p=0.000\n", - "USA-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.845, p=0.000\n", - "USA-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.916, p=0.017\n", - "USA-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-People using at least basic drinking water services (% of population)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-People using at least basic sanitation services (% of population)\n", - "Statistical=0.944, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-People using safely managed sanitation services (% of population)\n", - "Statistical=0.944, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Permanent cropland (% of land area)\n", - "Statistical=0.972, p=0.567\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Physicians (per 1,000 people)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Population ages 0-14 (% of total population)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Population ages 15-64 (% of total population)\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Population ages 65 and above (% of total population)\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Population density (people per sq. km of land area)\n", - "Statistical=0.952, p=0.168\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Population growth (annual %)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Population in largest city\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Population in the largest city (% of urban population)\n", - "Statistical=0.930, p=0.039\n", - "USA-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.895, p=0.005\n", - "USA-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.901, p=0.007\n", - "USA-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=0.794, p=0.000\n", - "USA-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.944, p=0.099\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.944, p=0.099\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.941, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.941, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.975, p=0.654\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Prevalence of undernourishment (% of population)\n", - "Statistical=0.944, p=0.099\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.982, p=0.858\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Primary income payments (BoP, current US$)\n", - "Statistical=0.941, p=0.079\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Primary income receipts (BoP, current US$)\n", - "Statistical=0.937, p=0.063\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Primary school starting age (years)\n", - "Statistical=0.944, p=0.099\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Private credit bureau coverage (% of adults)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.944, p=0.099\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.941, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.941, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.944, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Procedures to build a warehouse (number)\n", - "Statistical=0.978, p=0.749\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Procedures to register property (number)\n", - "Statistical=0.883, p=0.002\n", - "USA-Profit tax (% of commercial profits)\n", - "Statistical=0.883, p=0.002\n", - "USA-Progression to secondary school (%)\n", - "Statistical=0.912, p=0.013\n", - "USA-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.912, p=0.013\n", - "USA-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.933, p=0.048\n", - "USA-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.899, p=0.006\n", - "USA-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.896, p=0.005\n", - "USA-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Public credit registry coverage (% of adults)\n", - "Statistical=0.637, p=0.000\n", - "USA-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=0.648, p=0.000\n", - "USA-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.731, p=0.000\n", - "USA-Rail lines (total route-km)\n", - "Statistical=0.948, p=0.130\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.868, p=0.001\n", - "USA-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Refugee population by country or territory of asylum\n", - "Statistical=0.969, p=0.477\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Refugee population by country or territory of origin\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.954, p=0.191\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.954, p=0.191\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.957, p=0.224\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Research and development expenditure (% of GDP)\n", - "Statistical=0.957, p=0.224\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Researchers in R&D (per million people)\n", - "Statistical=0.948, p=0.124\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Reserves and related items (BoP, current US$)\n", - "Statistical=0.959, p=0.255\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.925, p=0.029\n", - "USA-Rural land area (sq. km)\n", - "Statistical=0.925, p=0.029\n", - "USA-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.975, p=0.640\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.951, p=0.154\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Rural population\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Rural population (% of total population)\n", - "Statistical=0.948, p=0.127\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Rural population growth (annual %)\n", - "Statistical=0.953, p=0.180\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.953, p=0.180\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.784, p=0.000\n", - "USA-Scientific and technical journal articles\n", - "Statistical=0.674, p=0.000\n", - "USA-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.494, p=0.000\n", - "USA-Secure Internet servers\n", - "Statistical=0.955, p=0.203\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Secure Internet servers (per 1 million people)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Service exports (BoP, current US$)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Service imports (BoP, current US$)\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Sex ratio at birth (male births per female births)\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Social contributions (% of revenue)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.951, p=0.157\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Start-up procedures to register a business (number)\n", - "Statistical=0.979, p=0.782\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.918, p=0.019\n", - "USA-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.918, p=0.019\n", - "USA-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=0.931, p=0.042\n", - "USA-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=0.931, p=0.042\n", - "USA-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.842, p=0.000\n", - "USA-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.703, p=0.000\n", - "USA-Surface area (sq. km)\n", - "Statistical=0.723, p=0.000\n", - "USA-Tax payments (number)\n", - "Statistical=0.855, p=0.001\n", - "USA-Tax revenue (% of GDP)\n", - "Statistical=0.971, p=0.520\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Taxes less subsidies on products (current US$)\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Taxes on goods and services (% of revenue)\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.925, p=0.028\n", - "USA-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.956, p=0.218\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data is NORMAL ( H0 not denied )\n", - "USA-Time required to build a warehouse (days)\n", - "Statistical=0.939, p=0.068\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Time required to enforce a contract (days)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Time required to get electricity (days)\n", - "Statistical=0.889, p=0.003\n", - "USA-Time required to register property (days)\n", - "Statistical=0.941, p=0.078\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Time required to start a business (days)\n", - "Statistical=0.630, p=0.000\n", - "USA-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.674, p=0.000\n", - "USA-Time to obtain an electrical connection (days)\n", - "Statistical=0.672, p=0.000\n", - "USA-Time to prepare and pay taxes (hours)\n", - "Statistical=0.676, p=0.000\n", - "USA-Time to resolve insolvency (years)\n", - "Statistical=0.633, p=0.000\n", - "USA-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.631, p=0.000\n", - "USA-Total fisheries production (metric tons)\n", - "Statistical=0.623, p=0.000\n", - "USA-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.639, p=0.000\n", - "USA-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.631, p=0.000\n", - "USA-Total natural resources rents (% of GDP)\n", - "Statistical=0.797, p=0.000\n", - "USA-Total reserves (includes gold, current US$)\n", - "Statistical=0.869, p=0.001\n", - "USA-Total reserves in months of imports\n", - "Statistical=0.942, p=0.083\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Total reserves minus gold (current US$)\n", - "Statistical=0.887, p=0.003\n", - "USA-Total tax and contribution rate (% of profit)\n", - "Statistical=0.835, p=0.000\n", - "USA-Trade (% of GDP)\n", - "Statistical=0.804, p=0.000\n", - "USA-Trade in services (% of GDP)\n", - "Statistical=0.896, p=0.005\n", - "USA-Transport services (% of commercial service exports)\n", - "Statistical=0.961, p=0.301\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Transport services (% of commercial service imports)\n", - "Statistical=0.896, p=0.005\n", - "USA-Transport services (% of service exports, BoP)\n", - "Statistical=0.915, p=0.015\n", - "USA-Transport services (% of service imports, BoP)\n", - "Statistical=0.959, p=0.259\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Travel services (% of commercial service exports)\n", - "Statistical=0.897, p=0.005\n", - "USA-Travel services (% of commercial service imports)\n", - "Statistical=0.957, p=0.223\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Travel services (% of service exports, BoP)\n", - "Statistical=0.930, p=0.040\n", - "USA-Travel services (% of service imports, BoP)\n", - "Statistical=0.930, p=0.040\n", - "USA-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.897, p=0.005\n", - "USA-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.897, p=0.005\n", - "USA-UHC service coverage index\n", - "Statistical=0.900, p=0.006\n", - "USA-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.844, p=0.000\n", - "USA-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.943, p=0.091\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.945, p=0.101\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Urban land area (sq. km)\n", - "Statistical=0.915, p=0.016\n", - "USA-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.870, p=0.001\n", - "USA-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.907, p=0.009\n", - "USA-Urban population\n", - "Statistical=0.915, p=0.015\n", - "USA-Urban population (% of total population)\n", - "Statistical=0.899, p=0.006\n", - "USA-Urban population growth (annual %)\n", - "Statistical=0.645, p=0.000\n", - "USA-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.645, p=0.000\n", - "USA-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.644, p=0.000\n", - "USA-GDP (current US$)+1\n", - "Statistical=0.644, p=0.000\n", - "USA-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=0.862, p=0.001\n", - "USA-GDP (current US$)+2\n", - "Statistical=0.890, p=0.004\n", - "USA-GDP (current US$)+3\n", - "Statistical=0.920, p=0.020\n", - "USA-GDP (current US$)+5\n", - "Statistical=0.876, p=0.002\n", - "USA-GDP (current US$)+8\n", - "Statistical=0.891, p=0.004\n", - "USA-GDP (current US$)+13\n", - "Statistical=0.918, p=0.018\n", - "USA-GDP (current US$)+21\n", - "Statistical=0.918, p=0.018\n", - "USA-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.890, p=0.003\n", - "USA-Deposit interest rate (%)\n", - "Statistical=0.890, p=0.003\n", - "USA-Other taxes (% of revenue)\n", - "Statistical=0.846, p=0.000\n", - "USA-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.973, p=0.596\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Taxes on international trade (% of revenue)\n", - "Statistical=0.973, p=0.596\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.978, p=0.741\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Broad money (% of GDP)\n", - "Statistical=0.869, p=0.001\n", - "USA-Broad money growth (annual %)\n", - "Statistical=0.861, p=0.001\n", - "USA-Broad money to total reserves ratio\n", - "Statistical=0.868, p=0.001\n", - "USA-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.857, p=0.001\n", - "USA-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.806, p=0.000\n", - "USA-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.961, p=0.300\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-External health expenditure (% of current health expenditure)\n", - "Statistical=0.933, p=0.047\n", - "USA-External health expenditure per capita (current US$)\n", - "Statistical=0.677, p=0.000\n", - "USA-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.856, p=0.001\n", - "USA-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.886, p=0.003\n", - "USA-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.902, p=0.007\n", - "USA-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.930, p=0.040\n", - "USA-People practicing open defecation (% of population)\n", - "Statistical=0.887, p=0.003\n", - "USA-Taxes on exports (% of tax revenue)\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "USA-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.795, p=0.000\n", - "USA-Country\n", - "Statistical=0.908, p=0.010\n", - "USA-Year\n", - "Statistical=0.811, p=0.000\n", - "USA-Continent\n", - "Statistical=0.881, p=0.002\n", - "CHN-Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Adjusted net national income (current US$)\n", - "Statistical=0.804, p=0.000\n", - "CHN-Adjusted net national income per capita (current US$)\n", - "Statistical=0.753, p=0.000\n", - "CHN-Adjusted savings: carbon dioxide damage (current US$)\n", - "Statistical=0.802, p=0.000\n", - "CHN-Adjusted savings: consumption of fixed capital (current US$)\n", - "Statistical=0.783, p=0.000\n", - "CHN-Adjusted savings: education expenditure (current US$)\n", - "Statistical=0.786, p=0.000\n", - "CHN-Adjusted savings: energy depletion (current US$)\n", - "Statistical=0.599, p=0.000\n", - "CHN-Adjusted savings: mineral depletion (current US$)\n", - "Statistical=0.610, p=0.000\n", - "CHN-Adjusted savings: net national savings (current US$)\n", - "Statistical=0.603, p=0.000\n", - "CHN-Adjusted savings: particulate emission damage (current US$)\n", - "Statistical=0.615, p=0.000\n", - "CHN-Adolescent fertility rate (births per 1,000 women ages 15-19)\n", - "Statistical=0.607, p=0.000\n", - "CHN-Adolescents out of school (% of lower secondary school age)\n", - "Statistical=0.628, p=0.000\n", - "CHN-Age dependency ratio (% of working-age population)\n", - "Statistical=0.615, p=0.000\n", - "CHN-Agricultural irrigated land (% of total agricultural land)\n", - "Statistical=0.619, p=0.000\n", - "CHN-Agricultural land (% of land area)\n", - "Statistical=0.620, p=0.000\n", - "CHN-Agricultural land (sq. km)\n", - "Statistical=0.606, p=0.000\n", - "CHN-Agricultural methane emissions (% of total)\n", - "Statistical=0.506, p=0.000\n", - "CHN-Agricultural methane emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.494, p=0.000\n", - "CHN-Agricultural nitrous oxide emissions (% of total)\n", - "Statistical=0.511, p=0.000\n", - "CHN-Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.924, p=0.027\n", - "CHN-Agricultural raw materials exports (% of merchandise exports)\n", - "Statistical=0.862, p=0.001\n", - "CHN-Agricultural raw materials imports (% of merchandise imports)\n", - "Statistical=0.824, p=0.000\n", - "CHN-Alternative and nuclear energy (% of total energy use)\n", - "Statistical=0.932, p=0.046\n", - "CHN-Aquaculture production (metric tons)\n", - "Statistical=0.864, p=0.001\n", - "CHN-Arable land (% of land area)\n", - "Statistical=0.828, p=0.000\n", - "CHN-Arable land (hectares per person)\n", - "Statistical=0.981, p=0.830\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Arable land (hectares)\n", - "Statistical=0.829, p=0.000\n", - "CHN-Armed forces personnel (% of total labor force)\n", - "Statistical=0.978, p=0.735\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Arms exports (SIPRI trend indicator values)\n", - "Statistical=0.829, p=0.000\n", - "CHN-Arms imports (SIPRI trend indicator values)\n", - "Statistical=0.910, p=0.011\n", - "CHN-Automated teller machines (ATMs) (per 100,000 adults)\n", - "Statistical=0.860, p=0.001\n", - "CHN-Average precipitation in depth (mm per year)\n", - "Statistical=0.871, p=0.001\n", - "CHN-Average time to clear exports through customs (days)\n", - "Statistical=0.789, p=0.000\n", - "CHN-Births attended by skilled health staff (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Business extent of disclosure index (0=less disclosure to 10=more disclosure)\n", - "Statistical=0.822, p=0.000\n", - "CHN-CO2 emissions (kg per 2015 US$ of GDP)\n", - "Statistical=0.929, p=0.037\n", - "CHN-CO2 emissions (kg per 2017 PPP $ of GDP)\n", - "Statistical=0.870, p=0.001\n", - "CHN-CO2 emissions (kg per PPP $ of GDP)\n", - "Statistical=0.959, p=0.251\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-CO2 emissions (kt)\n", - "Statistical=0.887, p=0.003\n", - "CHN-CO2 emissions (metric tons per capita)\n", - "Statistical=0.837, p=0.000\n", - "CHN-CO2 emissions from gaseous fuel consumption (% of total)\n", - "Statistical=0.891, p=0.004\n", - "CHN-CO2 emissions from gaseous fuel consumption (kt)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-CO2 emissions from liquid fuel consumption (% of total)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-CO2 emissions from liquid fuel consumption (kt)\n", - "Statistical=0.919, p=0.019\n", - "CHN-CO2 emissions from manufacturing industries and construction (% of total fuel combustion)\n", - "Statistical=0.833, p=0.000\n", - "CHN-CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)\n", - "Statistical=0.813, p=0.000\n", - "CHN-CO2 emissions from solid fuel consumption (% of total)\n", - "Statistical=0.818, p=0.000\n", - "CHN-CO2 emissions from solid fuel consumption (kt)\n", - "Statistical=0.755, p=0.000\n", - "CHN-CO2 emissions from transport (% of total fuel combustion)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-CO2 intensity (kg per kg of oil equivalent energy use)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Capture fisheries production (metric tons)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Cereal production (metric tons)\n", - "Statistical=0.880, p=0.002\n", - "CHN-Cereal yield (kg per hectare)\n", - "Statistical=0.882, p=0.002\n", - "CHN-Changes in inventories (current US$)\n", - "Statistical=0.811, p=0.000\n", - "CHN-Chemicals (% of value added in manufacturing)\n", - "Statistical=0.675, p=0.000\n", - "CHN-Children out of school (% of primary school age)\n", - "Statistical=0.818, p=0.000\n", - "CHN-Coal rents (% of GDP)\n", - "Statistical=0.818, p=0.000\n", - "CHN-Combustible renewables and waste (% of total energy)\n", - "Statistical=0.597, p=0.000\n", - "CHN-Commercial bank branches (per 100,000 adults)\n", - "Statistical=0.591, p=0.000\n", - "CHN-Commercial service exports (current US$)\n", - "Statistical=0.791, p=0.000\n", - "CHN-Commercial service imports (current US$)\n", - "Statistical=0.933, p=0.047\n", - "CHN-Completeness of birth registration (%)\n", - "Statistical=0.819, p=0.000\n", - "CHN-Consumer price index (2010 = 100)\n", - "Statistical=0.865, p=0.001\n", - "CHN-Container port traffic (TEU: 20 foot equivalent units)\n", - "Statistical=0.776, p=0.000\n", - "CHN-Crop production index (2014-2016 = 100)\n", - "Statistical=0.971, p=0.534\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Current account balance (% of GDP)\n", - "Statistical=0.893, p=0.004\n", - "CHN-Current account balance (BoP, current US$)\n", - "Statistical=0.964, p=0.352\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Current health expenditure (% of GDP)\n", - "Statistical=0.926, p=0.031\n", - "CHN-Current health expenditure per capita (current US$)\n", - "Statistical=0.926, p=0.031\n", - "CHN-DEC alternative conversion factor (LCU per US$)\n", - "Statistical=0.887, p=0.003\n", - "CHN-Depth of credit information index (0=low to 8=high)\n", - "Statistical=0.841, p=0.000\n", - "CHN-Diabetes prevalence (% of population ages 20 to 79)\n", - "Statistical=0.852, p=0.000\n", - "CHN-Domestic credit to private sector (% of GDP)\n", - "Statistical=0.889, p=0.003\n", - "CHN-Domestic credit to private sector by banks (% of GDP)\n", - "Statistical=0.872, p=0.001\n", - "CHN-Domestic general government health expenditure (% of GDP)\n", - "Statistical=0.893, p=0.004\n", - "CHN-Domestic general government health expenditure (% of current health expenditure)\n", - "Statistical=0.893, p=0.004\n", - "CHN-Domestic general government health expenditure (% of general government expenditure)\n", - "Statistical=0.784, p=0.000\n", - "CHN-Domestic general government health expenditure per capita (current US$)\n", - "Statistical=0.830, p=0.000\n", - "CHN-Domestic private health expenditure (% of current health expenditure)\n", - "Statistical=0.855, p=0.001\n", - "CHN-Domestic private health expenditure per capita (current US$)\n", - "Statistical=0.896, p=0.005\n", - "CHN-Ease of doing business rank (1=most business-friendly regulations)\n", - "Statistical=0.896, p=0.005\n", - "CHN-Ease of doing business score (0 = lowest performance to 100 = best performance)\n", - "Statistical=0.947, p=0.120\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Electric power consumption (kWh per capita)\n", - "Statistical=0.842, p=0.000\n", - "CHN-Electric power transmission and distribution losses (% of output)\n", - "Statistical=0.924, p=0.027\n", - "CHN-Electricity production from coal sources (% of total)\n", - "Statistical=0.842, p=0.000\n", - "CHN-Electricity production from hydroelectric sources (% of total)\n", - "Statistical=0.923, p=0.025\n", - "CHN-Electricity production from natural gas sources (% of total)\n", - "Statistical=0.905, p=0.008\n", - "CHN-Electricity production from nuclear sources (% of total)\n", - "Statistical=0.937, p=0.060\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Electricity production from oil sources (% of total)\n", - "Statistical=0.936, p=0.059\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Employment in agriculture (% of total employment) (modeled ILO estimate)\n", - "Statistical=0.701, p=0.000\n", - "CHN-Employment in industry (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Employment in services (% of total employment) (modeled ILO estimate)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Energy intensity level of primary energy (MJ/$2017 PPP GDP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Energy related methane emissions (% of total)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Energy use (kg of oil equivalent per capita)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Expenditure on tertiary education (% of government expenditure on education)\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Export unit value index (2000 = 100)\n", - "Statistical=0.850, p=0.000\n", - "CHN-Export value index (2000 = 100)\n", - "Statistical=0.775, p=0.000\n", - "CHN-Export volume index (2000 = 100)\n", - "Statistical=0.757, p=0.000\n", - "CHN-Exports of goods and services (% of GDP)\n", - "Statistical=0.829, p=0.000\n", - "CHN-Exports of goods and services (BoP, current US$)\n", - "Statistical=0.945, p=0.103\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Exports of goods and services (current US$)\n", - "Statistical=0.824, p=0.000\n", - "CHN-External balance on goods and services (% of GDP)\n", - "Statistical=0.917, p=0.018\n", - "CHN-External balance on goods and services (current US$)\n", - "Statistical=0.884, p=0.002\n", - "CHN-Fertilizer consumption (% of fertilizer production)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Fertilizer consumption (kilograms per hectare of arable land)\n", - "Statistical=0.923, p=0.025\n", - "CHN-Final consumption expenditure (% of GDP)\n", - "Statistical=0.923, p=0.025\n", - "CHN-Final consumption expenditure (current US$)\n", - "Statistical=0.881, p=0.002\n", - "CHN-Firms expected to give gifts in meetings with tax officials (% of firms)\n", - "Statistical=0.844, p=0.000\n", - "CHN-Firms offering formal training (% of firms)\n", - "Statistical=0.831, p=0.000\n", - "CHN-Firms using banks to finance investment (% of firms)\n", - "Statistical=0.755, p=0.000\n", - "CHN-Firms using banks to finance working capital (% of firms)\n", - "Statistical=0.798, p=0.000\n", - "CHN-Firms with female participation in ownership (% of firms)\n", - "Statistical=0.790, p=0.000\n", - "CHN-Fixed broadband subscriptions\n", - "Statistical=0.926, p=0.029\n", - "CHN-Fixed broadband subscriptions (per 100 people)\n", - "Statistical=0.900, p=0.006\n", - "CHN-Fixed telephone subscriptions\n", - "Statistical=0.970, p=0.496\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Fixed telephone subscriptions (per 100 people)\n", - "Statistical=0.763, p=0.000\n", - "CHN-Food exports (% of merchandise exports)\n", - "Statistical=0.803, p=0.000\n", - "CHN-Food imports (% of merchandise imports)\n", - "Statistical=0.899, p=0.006\n", - "CHN-Food production index (2014-2016 = 100)\n", - "Statistical=0.828, p=0.000\n", - "CHN-Forest area (% of land area)\n", - "Statistical=0.817, p=0.000\n", - "CHN-Forest area (sq. km)\n", - "Statistical=0.849, p=0.000\n", - "CHN-Forest rents (% of GDP)\n", - "Statistical=0.902, p=0.007\n", - "CHN-Fossil fuel energy consumption (% of total)\n", - "Statistical=0.828, p=0.000\n", - "CHN-Fuel exports (% of merchandise exports)\n", - "Statistical=0.832, p=0.000\n", - "CHN-Fuel imports (% of merchandise imports)\n", - "Statistical=0.843, p=0.000\n", - "CHN-GDP (current US$)\n", - "Statistical=0.864, p=0.001\n", - "CHN-GDP deflator (base year varies by country)\n", - "Statistical=0.924, p=0.027\n", - "CHN-GDP deflator: linked series (base year varies by country)\n", - "Statistical=0.891, p=0.004\n", - "CHN-GDP growth (annual %)\n", - "Statistical=0.875, p=0.002\n", - "CHN-GDP per capita (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-GDP per capita growth (annual %)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-GDP per person employed (constant 2017 PPP $)\n", - "Statistical=0.882, p=0.002\n", - "CHN-GDP per unit of energy use (PPP $ per kg of oil equivalent)\n", - "Statistical=0.506, p=0.000\n", - "CHN-GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)\n", - "Statistical=0.494, p=0.000\n", - "CHN-GHG net emissions/removals by LUCF (Mt of CO2 equivalent)\n", - "Statistical=0.511, p=0.000\n", - "CHN-GNI (current US$)\n", - "Statistical=0.520, p=0.000\n", - "CHN-GNI growth (annual %)\n", - "Statistical=0.515, p=0.000\n", - "CHN-GNI per capita growth (annual %)\n", - "Statistical=0.522, p=0.000\n", - "CHN-General government final consumption expenditure (% of GDP)\n", - "Statistical=0.934, p=0.052\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-General government final consumption expenditure (current US$)\n", - "Statistical=0.909, p=0.010\n", - "CHN-Gini index\n", - "Statistical=0.877, p=0.002\n", - "CHN-Goods exports (BoP, current US$)\n", - "Statistical=0.856, p=0.001\n", - "CHN-Goods imports (BoP, current US$)\n", - "Statistical=0.844, p=0.000\n", - "CHN-Grants and other revenue (% of revenue)\n", - "Statistical=0.566, p=0.000\n", - "CHN-Gross capital formation (% of GDP)\n", - "Statistical=0.892, p=0.004\n", - "CHN-Gross capital formation (current US$)\n", - "Statistical=0.831, p=0.000\n", - "CHN-Gross domestic savings (% of GDP)\n", - "Statistical=0.946, p=0.114\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Gross domestic savings (current US$)\n", - "Statistical=0.952, p=0.163\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Gross fixed capital formation (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Gross fixed capital formation (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Gross national expenditure (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Gross national expenditure (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Gross national expenditure deflator (base year varies by country)\n", - "Statistical=0.945, p=0.102\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Gross savings (% of GDP)\n", - "Statistical=0.949, p=0.139\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Gross savings (current US$)\n", - "Statistical=0.945, p=0.101\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Gross value added at basic prices (GVA) (current US$)\n", - "Statistical=0.828, p=0.000\n", - "CHN-HFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.907, p=0.010\n", - "CHN-High-technology exports (% of manufactured exports)\n", - "Statistical=0.938, p=0.067\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-High-technology exports (current US$)\n", - "Statistical=0.928, p=0.035\n", - "CHN-Hospital beds (per 1,000 people)\n", - "Statistical=0.915, p=0.015\n", - "CHN-Households and NPISHs Final consumption expenditure (current US$)\n", - "Statistical=0.923, p=0.025\n", - "CHN-Households and NPISHs Final consumption expenditure per capita growth (annual %)\n", - "Statistical=0.567, p=0.000\n", - "CHN-Households and NPISHs final consumption expenditure (% of GDP)\n", - "Statistical=0.567, p=0.000\n", - "CHN-Human capital index (HCI) (scale 0-1)\n", - "Statistical=0.567, p=0.000\n", - "CHN-Human capital index (HCI), female (scale 0-1)\n", - "Statistical=0.398, p=0.000\n", - "CHN-Human capital index (HCI), female, lower bound (scale 0-1)\n", - "Statistical=0.391, p=0.000\n", - "CHN-Human capital index (HCI), female, upper bound (scale 0-1)\n", - "Statistical=0.397, p=0.000\n", - "CHN-Human capital index (HCI), lower bound (scale 0-1)\n", - "Statistical=0.391, p=0.000\n", - "CHN-Human capital index (HCI), male (scale 0-1)\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Human capital index (HCI), male, lower bound (scale 0-1)\n", - "Statistical=0.938, p=0.065\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Human capital index (HCI), male, upper bound (scale 0-1)\n", - "Statistical=0.880, p=0.002\n", - "CHN-Human capital index (HCI), upper bound (scale 0-1)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-ICT goods exports (% of total goods exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-ICT goods imports (% total goods imports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-ICT service exports (% of service exports, BoP)\n", - "Statistical=0.929, p=0.036\n", - "CHN-ICT service exports (BoP, current US$)\n", - "Statistical=0.771, p=0.000\n", - "CHN-Import unit value index (2000 = 100)\n", - "Statistical=0.800, p=0.000\n", - "CHN-Import value index (2000 = 100)\n", - "Statistical=0.785, p=0.000\n", - "CHN-Import volume index (2000 = 100)\n", - "Statistical=0.730, p=0.000\n", - "CHN-Imports of goods and services (% of GDP)\n", - "Statistical=0.885, p=0.003\n", - "CHN-Imports of goods and services (BoP, current US$)\n", - "Statistical=0.827, p=0.000\n", - "CHN-Imports of goods and services (current US$)\n", - "Statistical=0.756, p=0.000\n", - "CHN-Incidence of tuberculosis (per 100,000 people)\n", - "Statistical=0.478, p=0.000\n", - "CHN-Income share held by fourth 20%\n", - "Statistical=0.628, p=0.000\n", - "CHN-Income share held by highest 10%\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Income share held by highest 20%\n", - "Statistical=0.923, p=0.025\n", - "CHN-Income share held by lowest 10%\n", - "Statistical=0.925, p=0.029\n", - "CHN-Income share held by lowest 20%\n", - "Statistical=0.928, p=0.035\n", - "CHN-Income share held by second 20%\n", - "Statistical=0.789, p=0.000\n", - "CHN-Income share held by third 20%\n", - "Statistical=0.791, p=0.000\n", - "CHN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.850, p=0.000\n", - "CHN-Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.761, p=0.000\n", - "CHN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)\n", - "Statistical=0.789, p=0.000\n", - "CHN-Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)\n", - "Statistical=0.792, p=0.000\n", - "CHN-Individuals using the Internet (% of population)\n", - "Statistical=0.781, p=0.000\n", - "CHN-Industry (including construction), value added (% of GDP)\n", - "Statistical=0.804, p=0.000\n", - "CHN-Industry (including construction), value added (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Insurance and financial services (% of commercial service exports)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Insurance and financial services (% of commercial service imports)\n", - "Statistical=0.432, p=0.000\n", - "CHN-Insurance and financial services (% of service exports, BoP)\n", - "Statistical=0.763, p=0.000\n", - "CHN-Insurance and financial services (% of service imports, BoP)\n", - "Statistical=0.763, p=0.000\n", - "CHN-Intentional homicides (per 100,000 people)\n", - "Statistical=0.842, p=0.000\n", - "CHN-Interest payments (% of revenue)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-International migrant stock (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Labor force with advanced education (% of total working-age population with advanced education)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Labor force with basic education (% of total working-age population with basic education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Labor force with intermediate education (% of total working-age population with intermediate education)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Labor tax and contributions (% of commercial profits)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Land area (sq. km)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Land under cereal production (hectares)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Level of water stress: freshwater withdrawal as a proportion of available freshwater resources\n", - "Statistical=0.838, p=0.000\n", - "CHN-Lifetime risk of maternal death (%)\n", - "Statistical=0.890, p=0.003\n", - "CHN-Lifetime risk of maternal death (1 in: rate varies by country)\n", - "Statistical=0.917, p=0.017\n", - "CHN-Liner shipping connectivity index (maximum value in 2004 = 100)\n", - "Statistical=0.948, p=0.128\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Livestock production index (2014-2016 = 100)\n", - "Statistical=0.796, p=0.000\n", - "CHN-Logistics performance index: Ability to track and trace consignments (1=low to 5=high)\n", - "Statistical=0.838, p=0.000\n", - "CHN-Logistics performance index: Competence and quality of logistics services (1=low to 5=high)\n", - "Statistical=0.835, p=0.000\n", - "CHN-Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)\n", - "Statistical=0.873, p=0.001\n", - "CHN-Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)\n", - "Statistical=0.742, p=0.000\n", - "CHN-Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)\n", - "Statistical=0.707, p=0.000\n", - "CHN-Logistics performance index: Overall (1=low to 5=high)\n", - "Statistical=0.846, p=0.000\n", - "CHN-Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)\n", - "Statistical=0.871, p=0.001\n", - "CHN-Low-birthweight babies (% of births)\n", - "Statistical=0.894, p=0.004\n", - "CHN-Lower secondary school starting age (years)\n", - "Statistical=0.916, p=0.017\n", - "CHN-Machinery and transport equipment (% of value added in manufacturing)\n", - "Statistical=0.915, p=0.015\n", - "CHN-Manufactures exports (% of merchandise exports)\n", - "Statistical=0.921, p=0.022\n", - "CHN-Manufactures imports (% of merchandise imports)\n", - "Statistical=0.883, p=0.002\n", - "CHN-Marine protected areas (% of territorial waters)\n", - "Statistical=0.979, p=0.761\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Market capitalization of listed domestic companies (% of GDP)\n", - "Statistical=0.846, p=0.000\n", - "CHN-Market capitalization of listed domestic companies (current US$)\n", - "Statistical=0.947, p=0.118\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Maternal mortality ratio (modeled estimate, per 100,000 live births)\n", - "Statistical=0.942, p=0.084\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Maternal mortality ratio (national estimate, per 100,000 live births)\n", - "Statistical=0.951, p=0.158\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Medium and high-tech exports (% manufactured exports)\n", - "Statistical=0.882, p=0.002\n", - "CHN-Medium and high-tech manufacturing value added (% manufacturing value added)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Merchandise exports (current US$)\n", - "Statistical=0.932, p=0.045\n", - "CHN-Merchandise exports by the reporting economy (current US$)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Merchandise exports to economies in the Arab World (% of total merchandise exports)\n", - "Statistical=0.911, p=0.012\n", - "CHN-Merchandise exports to high-income economies (% of total merchandise exports)\n", - "Statistical=0.815, p=0.000\n", - "CHN-Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)\n", - "Statistical=0.947, p=0.121\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)\n", - "Statistical=0.951, p=0.149\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)\n", - "Statistical=0.949, p=0.136\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)\n", - "Statistical=0.862, p=0.001\n", - "CHN-Merchandise imports (current US$)\n", - "Statistical=0.798, p=0.000\n", - "CHN-Merchandise imports by the reporting economy (current US$)\n", - "Statistical=0.793, p=0.000\n", - "CHN-Merchandise imports from economies in the Arab World (% of total merchandise imports)\n", - "Statistical=0.817, p=0.000\n", - "CHN-Merchandise imports from high-income economies (% of total merchandise imports)\n", - "Statistical=0.833, p=0.000\n", - "CHN-Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)\n", - "Statistical=0.626, p=0.000\n", - "CHN-Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)\n", - "Statistical=0.897, p=0.005\n", - "CHN-Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)\n", - "Statistical=0.840, p=0.000\n", - "CHN-Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)\n", - "Statistical=0.862, p=0.001\n", - "CHN-Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)\n", - "Statistical=0.903, p=0.007\n", - "CHN-Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)\n", - "Statistical=0.831, p=0.000\n", - "CHN-Merchandise trade (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Methane emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Methane emissions (kt of CO2 equivalent)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Methane emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.872, p=0.001\n", - "CHN-Military expenditure (% of GDP)\n", - "Statistical=0.839, p=0.000\n", - "CHN-Military expenditure (% of general government expenditure)\n", - "Statistical=0.828, p=0.000\n", - "CHN-Military expenditure (current USD)\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Mineral rents (% of GDP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Mobile cellular subscriptions\n", - "Statistical=0.885, p=0.003\n", - "CHN-Mobile cellular subscriptions (per 100 people)\n", - "Statistical=0.870, p=0.001\n", - "CHN-Monetary Sector credit to private sector (% GDP)\n", - "Statistical=0.821, p=0.000\n", - "CHN-Mortality caused by road traffic injury (per 100,000 population)\n", - "Statistical=0.793, p=0.000\n", - "CHN-Mortality rate attributed to unintentional poisoning (per 100,000 population)\n", - "Statistical=0.801, p=0.000\n", - "CHN-Natural gas rents (% of GDP)\n", - "Statistical=0.883, p=0.002\n", - "CHN-Net barter terms of trade index (2000 = 100)\n", - "Statistical=0.901, p=0.007\n", - "CHN-Net capital account (BoP, current US$)\n", - "Statistical=0.943, p=0.088\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Net errors and omissions (BoP, current US$)\n", - "Statistical=0.952, p=0.165\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Net financial account (BoP, current US$)\n", - "Statistical=0.883, p=0.002\n", - "CHN-Net migration\n", - "Statistical=0.859, p=0.001\n", - "CHN-Net primary income (BoP, current US$)\n", - "Statistical=0.859, p=0.001\n", - "CHN-Net primary income (Net income from abroad) (current US$)\n", - "Statistical=0.839, p=0.000\n", - "CHN-Net secondary income (BoP, current US$)\n", - "Statistical=0.819, p=0.000\n", - "CHN-Net secondary income (Net current transfers from abroad) (current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Net trade in goods (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Net trade in goods and services (BoP, current US$)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-New business density (new registrations per 1,000 people ages 15-64)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-New businesses registered (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Nitrous oxide emissions (% change from 1990)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Nitrous oxide emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.770, p=0.000\n", - "CHN-Nitrous oxide emissions in energy sector (% of total)\n", - "Statistical=0.776, p=0.000\n", - "CHN-Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.935, p=0.056\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Number of deaths ages 10-14 years\n", - "Statistical=0.944, p=0.100\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Number of deaths ages 15-19 years\n", - "Statistical=0.769, p=0.000\n", - "CHN-Number of deaths ages 20-24 years\n", - "Statistical=0.950, p=0.143\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Number of deaths ages 5-9 years\n", - "Statistical=0.927, p=0.032\n", - "CHN-Number of infant deaths\n", - "Statistical=0.777, p=0.000\n", - "CHN-Number of maternal deaths\n", - "Statistical=0.941, p=0.080\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Number of neonatal deaths\n", - "Statistical=0.956, p=0.208\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Number of under-five deaths\n", - "Statistical=0.895, p=0.005\n", - "CHN-Nurses and midwives (per 1,000 people)\n", - "Statistical=0.950, p=0.147\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Official exchange rate (LCU per US$, period average)\n", - "Statistical=0.787, p=0.000\n", - "CHN-Oil rents (% of GDP)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Ores and metals exports (% of merchandise exports)\n", - "Statistical=0.943, p=0.092\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Ores and metals imports (% of merchandise imports)\n", - "Statistical=0.748, p=0.000\n", - "CHN-Other greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.828, p=0.000\n", - "CHN-Other manufacturing (% of value added in manufacturing)\n", - "Statistical=0.885, p=0.003\n", - "CHN-Other taxes payable by businesses (% of commercial profits)\n", - "Statistical=0.914, p=0.014\n", - "CHN-Out-of-pocket expenditure (% of current health expenditure)\n", - "Statistical=0.885, p=0.003\n", - "CHN-Out-of-pocket expenditure per capita (current US$)\n", - "Statistical=0.885, p=0.003\n", - "CHN-PFC gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.848, p=0.000\n", - "CHN-People using at least basic drinking water services (% of population)\n", - "Statistical=0.824, p=0.000\n", - "CHN-People using at least basic sanitation services (% of population)\n", - "Statistical=0.933, p=0.047\n", - "CHN-People using safely managed sanitation services (% of population)\n", - "Statistical=0.933, p=0.047\n", - "CHN-Permanent cropland (% of land area)\n", - "Statistical=0.962, p=0.306\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Physicians (per 1,000 people)\n", - "Statistical=0.889, p=0.003\n", - "CHN-Population ages 0-14 (% of total population)\n", - "Statistical=0.889, p=0.003\n", - "CHN-Population ages 15-64 (% of total population)\n", - "Statistical=0.854, p=0.001\n", - "CHN-Population ages 65 and above (% of total population)\n", - "Statistical=0.827, p=0.000\n", - "CHN-Population density (people per sq. km of land area)\n", - "Statistical=0.927, p=0.033\n", - "CHN-Population growth (annual %)\n", - "Statistical=0.889, p=0.003\n", - "CHN-Population in largest city\n", - "Statistical=0.885, p=0.003\n", - "CHN-Population in the largest city (% of urban population)\n", - "Statistical=0.886, p=0.003\n", - "CHN-Population in urban agglomerations of more than 1 million\n", - "Statistical=0.905, p=0.008\n", - "CHN-Population in urban agglomerations of more than 1 million (% of total population)\n", - "Statistical=0.919, p=0.019\n", - "CHN-Population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.885, p=0.003\n", - "CHN-Poverty gap at $5.50 a day (2011 PPP) (%)\n", - "Statistical=0.881, p=0.002\n", - "CHN-Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population)\n", - "Statistical=0.848, p=0.000\n", - "CHN-Poverty headcount ratio at national poverty lines (% of population)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Pregnant women receiving prenatal care (%)\n", - "Statistical=0.860, p=0.001\n", - "CHN-Prevalence of anemia among children (% of children ages 6-59 months)\n", - "Statistical=0.860, p=0.001\n", - "CHN-Prevalence of anemia among non-pregnant women (% of women ages 15-49)\n", - "Statistical=0.847, p=0.000\n", - "CHN-Prevalence of anemia among pregnant women (%)\n", - "Statistical=0.824, p=0.000\n", - "CHN-Prevalence of anemia among women of reproductive age (% of women ages 15-49)\n", - "Statistical=0.944, p=0.094\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Prevalence of current tobacco use (% of adults)\n", - "Statistical=0.863, p=0.001\n", - "CHN-Prevalence of overweight (modeled estimate, % of children under 5)\n", - "Statistical=0.863, p=0.001\n", - "CHN-Prevalence of undernourishment (% of population)\n", - "Statistical=0.854, p=0.000\n", - "CHN-Price level ratio of PPP conversion factor (GDP) to market exchange rate\n", - "Statistical=0.907, p=0.010\n", - "CHN-Primary income payments (BoP, current US$)\n", - "Statistical=0.825, p=0.000\n", - "CHN-Primary income receipts (BoP, current US$)\n", - "Statistical=0.863, p=0.001\n", - "CHN-Primary school starting age (years)\n", - "Statistical=0.885, p=0.003\n", - "CHN-Private credit bureau coverage (% of adults)\n", - "Statistical=0.821, p=0.000\n", - "CHN-Probability of dying among adolescents ages 10-14 years (per 1,000)\n", - "Statistical=0.860, p=0.001\n", - "CHN-Probability of dying among adolescents ages 15-19 years (per 1,000)\n", - "Statistical=0.881, p=0.002\n", - "CHN-Probability of dying among children ages 5-9 years (per 1,000)\n", - "Statistical=0.847, p=0.000\n", - "CHN-Probability of dying among youth ages 20-24 years (per 1,000)\n", - "Statistical=0.938, p=0.064\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Procedures to build a warehouse (number)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Procedures to register property (number)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Profit tax (% of commercial profits)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Progression to secondary school (%)\n", - "Statistical=0.836, p=0.000\n", - "CHN-Proportion of people living below 50 percent of median income (%)\n", - "Statistical=0.816, p=0.000\n", - "CHN-Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.928, p=0.035\n", - "CHN-Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)\n", - "Statistical=0.825, p=0.000\n", - "CHN-Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.832, p=0.000\n", - "CHN-Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)\n", - "Statistical=0.864, p=0.001\n", - "CHN-Proportion of seats held by women in national parliaments (%)\n", - "Statistical=0.928, p=0.035\n", - "CHN-Public credit registry coverage (% of adults)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Pump price for diesel fuel (US$ per liter)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Pump price for gasoline (US$ per liter)\n", - "Statistical=0.565, p=0.000\n", - "CHN-Rail lines (total route-km)\n", - "Statistical=0.790, p=0.000\n", - "CHN-Ratio of female to male labor force participation rate (%) (modeled ILO estimate)\n", - "Statistical=0.724, p=0.000\n", - "CHN-Ratio of female to male labor force participation rate (%) (national estimate)\n", - "Statistical=0.940, p=0.077\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Refugee population by country or territory of asylum\n", - "Statistical=0.931, p=0.042\n", - "CHN-Refugee population by country or territory of origin\n", - "Statistical=0.938, p=0.066\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Renewable electricity output (% of total electricity output)\n", - "Statistical=0.845, p=0.000\n", - "CHN-Renewable energy consumption (% of total final energy consumption)\n", - "Statistical=0.845, p=0.000\n", - "CHN-Renewable internal freshwater resources per capita (cubic meters)\n", - "Statistical=0.840, p=0.000\n", - "CHN-Research and development expenditure (% of GDP)\n", - "Statistical=0.816, p=0.000\n", - "CHN-Researchers in R&D (per million people)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Reserves and related items (BoP, current US$)\n", - "Statistical=0.952, p=0.165\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Risk of catastrophic expenditure for surgical care (% of people at risk)\n", - "Statistical=0.852, p=0.000\n", - "CHN-Rural land area (sq. km)\n", - "Statistical=0.826, p=0.000\n", - "CHN-Rural land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.910, p=0.011\n", - "CHN-Rural land area where elevation is below 5 meters (sq. km)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Rural population\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Rural population (% of total population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Rural population growth (annual %)\n", - "Statistical=0.840, p=0.000\n", - "CHN-Rural population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.818, p=0.000\n", - "CHN-SF6 gas emissions (thousand metric tons of CO2 equivalent)\n", - "Statistical=0.906, p=0.009\n", - "CHN-Scientific and technical journal articles\n", - "Statistical=0.854, p=0.001\n", - "CHN-Secondary income receipts (BoP, current US$)\n", - "Statistical=0.972, p=0.547\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Secure Internet servers\n", - "Statistical=0.914, p=0.015\n", - "CHN-Secure Internet servers (per 1 million people)\n", - "Statistical=0.853, p=0.000\n", - "CHN-Service exports (BoP, current US$)\n", - "Statistical=0.853, p=0.000\n", - "CHN-Service imports (BoP, current US$)\n", - "Statistical=0.842, p=0.000\n", - "CHN-Sex ratio at birth (male births per female births)\n", - "Statistical=0.819, p=0.000\n", - "CHN-Social contributions (% of revenue)\n", - "Statistical=0.808, p=0.000\n", - "CHN-Specialist surgical workforce (per 100,000 population)\n", - "Statistical=0.958, p=0.236\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Start-up procedures to register a business (number)\n", - "Statistical=0.956, p=0.218\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Statistical performance indicators (SPI): Overall score (scale 0-100)\n", - "Statistical=0.853, p=0.000\n", - "CHN-Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)\n", - "Statistical=0.827, p=0.000\n", - "CHN-Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Strength of legal rights index (0=weak to 12=strong)\n", - "Statistical=0.793, p=0.000\n", - "CHN-Suicide mortality rate (per 100,000 population)\n", - "Statistical=0.795, p=0.000\n", - "CHN-Surface area (sq. km)\n", - "Statistical=0.718, p=0.000\n", - "CHN-Tax payments (number)\n", - "Statistical=0.887, p=0.003\n", - "CHN-Tax revenue (% of GDP)\n", - "Statistical=0.895, p=0.005\n", - "CHN-Taxes less subsidies on products (current US$)\n", - "Statistical=0.841, p=0.000\n", - "CHN-Taxes on goods and services (% of revenue)\n", - "Statistical=0.841, p=0.000\n", - "CHN-Taxes on goods and services (% value added of industry and services)\n", - "Statistical=0.840, p=0.000\n", - "CHN-Terrestrial and marine protected areas (% of total territorial area)\n", - "Statistical=0.819, p=0.000\n", - "CHN-Terrestrial protected areas (% of total land area)\n", - "Statistical=0.842, p=0.000\n", - "CHN-Textiles and clothing (% of value added in manufacturing)\n", - "Statistical=0.909, p=0.011\n", - "CHN-Time required to build a warehouse (days)\n", - "Statistical=0.841, p=0.000\n", - "CHN-Time required to enforce a contract (days)\n", - "Statistical=0.857, p=0.001\n", - "CHN-Time required to get electricity (days)\n", - "Statistical=0.915, p=0.015\n", - "CHN-Time required to register property (days)\n", - "Statistical=0.840, p=0.000\n", - "CHN-Time required to start a business (days)\n", - "Statistical=0.406, p=0.000\n", - "CHN-Time spent dealing with the requirements of government regulations (% of senior management time)\n", - "Statistical=0.407, p=0.000\n", - "CHN-Time to obtain an electrical connection (days)\n", - "Statistical=0.404, p=0.000\n", - "CHN-Time to prepare and pay taxes (hours)\n", - "Statistical=0.409, p=0.000\n", - "CHN-Time to resolve insolvency (years)\n", - "Statistical=0.405, p=0.000\n", - "CHN-Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)\n", - "Statistical=0.411, p=0.000\n", - "CHN-Total fisheries production (metric tons)\n", - "Statistical=0.409, p=0.000\n", - "CHN-Total greenhouse gas emissions (% change from 1990)\n", - "Statistical=0.406, p=0.000\n", - "CHN-Total greenhouse gas emissions (kt of CO2 equivalent)\n", - "Statistical=0.408, p=0.000\n", - "CHN-Total natural resources rents (% of GDP)\n", - "Statistical=0.854, p=0.001\n", - "CHN-Total reserves (includes gold, current US$)\n", - "Statistical=0.895, p=0.005\n", - "CHN-Total reserves in months of imports\n", - "Statistical=0.869, p=0.001\n", - "CHN-Total reserves minus gold (current US$)\n", - "Statistical=0.789, p=0.000\n", - "CHN-Total tax and contribution rate (% of profit)\n", - "Statistical=0.818, p=0.000\n", - "CHN-Trade (% of GDP)\n", - "Statistical=0.734, p=0.000\n", - "CHN-Trade in services (% of GDP)\n", - "Statistical=0.821, p=0.000\n", - "CHN-Transport services (% of commercial service exports)\n", - "Statistical=0.880, p=0.002\n", - "CHN-Transport services (% of commercial service imports)\n", - "Statistical=0.841, p=0.000\n", - "CHN-Transport services (% of service exports, BoP)\n", - "Statistical=0.879, p=0.002\n", - "CHN-Transport services (% of service imports, BoP)\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Travel services (% of commercial service exports)\n", - "Statistical=0.834, p=0.000\n", - "CHN-Travel services (% of commercial service imports)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Travel services (% of service exports, BoP)\n", - "Statistical=1.000, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Travel services (% of service imports, BoP)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Tuberculosis case detection rate (%, all forms)\n", - "Statistical=0.872, p=0.001\n", - "CHN-Tuberculosis treatment success rate (% of new cases)\n", - "Statistical=0.842, p=0.000\n", - "CHN-UHC service coverage index\n", - "Statistical=0.832, p=0.000\n", - "CHN-Unemployment with advanced education (% of total labor force with advanced education)\n", - "Statistical=0.846, p=0.000\n", - "CHN-Unemployment with basic education (% of total labor force with basic education)\n", - "Statistical=0.910, p=0.011\n", - "CHN-Unemployment with intermediate education (% of total labor force with intermediate education)\n", - "Statistical=0.923, p=0.025\n", - "CHN-Urban land area (sq. km)\n", - "Statistical=0.919, p=0.019\n", - "CHN-Urban land area where elevation is below 5 meters (% of total land area)\n", - "Statistical=0.940, p=0.073\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Urban land area where elevation is below 5 meters (sq. km)\n", - "Statistical=0.926, p=0.031\n", - "CHN-Urban population\n", - "Statistical=0.925, p=0.029\n", - "CHN-Urban population (% of total population)\n", - "Statistical=0.902, p=0.007\n", - "CHN-Urban population growth (annual %)\n", - "Statistical=0.882, p=0.002\n", - "CHN-Urban population living in areas where elevation is below 5 meters (% of total population)\n", - "Statistical=0.882, p=0.002\n", - "CHN-Women Business and the Law Index Score (scale 1-100)\n", - "Statistical=0.910, p=0.011\n", - "CHN-GDP (current US$)+1\n", - "Statistical=0.910, p=0.011\n", - "CHN-Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population)\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-GDP (current US$)+2\n", - "Statistical=0.890, p=0.003\n", - "CHN-GDP (current US$)+3\n", - "Statistical=0.831, p=0.000\n", - "CHN-GDP (current US$)+5\n", - "Statistical=0.853, p=0.000\n", - "CHN-GDP (current US$)+8\n", - "Statistical=0.981, p=0.824\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-GDP (current US$)+13\n", - "Statistical=0.885, p=0.003\n", - "CHN-GDP (current US$)+21\n", - "Statistical=0.885, p=0.003\n", - "CHN-Customs and other import duties (% of tax revenue)\n", - "Statistical=0.862, p=0.001\n", - "CHN-Deposit interest rate (%)\n", - "Statistical=0.829, p=0.000\n", - "CHN-Other taxes (% of revenue)\n", - "Statistical=0.906, p=0.009\n", - "CHN-Poverty gap at $3.20 a day (2011 PPP) (%)\n", - "Statistical=0.893, p=0.004\n", - "CHN-Taxes on international trade (% of revenue)\n", - "Statistical=0.893, p=0.004\n", - "CHN-Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)\n", - "Statistical=0.977, p=0.709\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Broad money (% of GDP)\n", - "Statistical=0.891, p=0.004\n", - "CHN-Broad money growth (annual %)\n", - "Statistical=0.943, p=0.090\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Broad money to total reserves ratio\n", - "Statistical=0.891, p=0.004\n", - "CHN-Claims on central government (annual growth as % of broad money)\n", - "Statistical=0.941, p=0.082\n", - "Data is NORMAL ( H0 not denied )\n", - "CHN-Claims on private sector (annual growth as % of broad money)\n", - "Statistical=0.835, p=0.000\n", - "CHN-Poverty gap at $1.90 a day (2011 PPP) (%)\n", - "Statistical=0.681, p=0.000\n", - "CHN-External health expenditure (% of current health expenditure)\n", - "Statistical=0.717, p=0.000\n", - "CHN-External health expenditure per capita (current US$)\n", - "Statistical=0.599, p=0.000\n", - "CHN-Risk of impoverishing expenditure for surgical care (% of people at risk)\n", - "Statistical=0.864, p=0.001\n", - "CHN-Net official development assistance and official aid received (constant 2018 US$)\n", - "Statistical=0.874, p=0.001\n", - "CHN-Net official development assistance and official aid received (current US$)\n", - "Statistical=0.678, p=0.000\n", - "CHN-Technical cooperation grants (BoP, current US$)\n", - "Statistical=0.703, p=0.000\n", - "CHN-People practicing open defecation (% of population)\n", - "Statistical=0.714, p=0.000\n", - "CHN-Taxes on exports (% of tax revenue)\n", - "Statistical=0.737, p=0.000\n", - "CHN-Adjusted savings: net forest depletion (current US$)\n", - "Statistical=0.899, p=0.006\n", - "CHN-Country\n", - "Statistical=0.563, p=0.000\n", - "CHN-Year\n", - "Statistical=0.703, p=0.000\n", - "CHN-Continent\n", - "Statistical=0.707, p=0.000\n" - ] - } - ], - "source": [ - "for i in range(0,len(clist)):\n", - " dat=df.loc[df.loc[:, 'Country'] == clist[i]]\n", - " for e in range(2,len(columns)):\n", - " data=dat.iloc[:, e]\n", - " stat, p = shapiro(data)\n", - " print(clist[i] +\"-\"+ columns[e])\n", - " print('Statistical=%.3f, p=%.3f' % (stat, p))\n", - " alpha = 0.05\n", - " if p > alpha:\n", - " print('Data is NORMAL ( H0 not denied )')\n", - " else:\n", - " pass" - ] } ], "metadata": { From ab3c3f6bf3dab6282dc63f60fd7ba6578d6e485d Mon Sep 17 00:00:00 2001 From: amarchve Date: Tue, 2 Aug 2022 09:54:56 +0200 Subject: [PATCH 51/86] photos --- WDI-Complete code.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index dd490a0..e7d80c0 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -10690,10 +10690,10 @@ "There is an interesting phenomenon, in some cases there are correlations that have a high coefficient and also an adequate graphics, but they do not make sense in the analysis, these are called spurious correlations. Here are some examples:\n", "\n", "\n", - "![Cheese consumption VS. People killed by becoming tangled in their bedsheets](https://github.com/devonfw-forge/python-data-driven-decisions/blob/Remodel-due-to-d2/Logos/chart%20(2).jpeg)\n", + "![Cheese consumption VS. People killed by becoming tangled in their bedsheets](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/Remodel-due-to-d2/Logos/chart%20(2).jpeg)\n", "\n", "\n", - "![People drowned VS. Nicolas Cage appearences](https://github.com/devonfw-forge/python-data-driven-decisions/blob/Remodel-due-to-d2/Logos/chart%20(1).jpeg)\n", + "![People drowned VS. Nicolas Cage appearences](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/Remodel-due-to-d2/Logos/chart%20(1).jpeg)\n", "\n", "\n", "Therefore, we have to be carefull with our results because correlation does not imply causation, it may have happened by chance that both variables are really similar.\n", From 305d551bacdbeb140e1d8812eb782e6895aeb18f Mon Sep 17 00:00:00 2001 From: Mferna38 Date: Tue, 2 Aug 2022 09:57:18 +0200 Subject: [PATCH 52/86] Cases updated --- WDI-Complete code.ipynb | 45 ++++++++++++++++++++++++++++++++++++++--- 1 file changed, 42 insertions(+), 3 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index e7d80c0..91dfada 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -10690,10 +10690,10 @@ "There is an interesting phenomenon, in some cases there are correlations that have a high coefficient and also an adequate graphics, but they do not make sense in the analysis, these are called spurious correlations. Here are some examples:\n", "\n", "\n", - "![Cheese consumption VS. People killed by becoming tangled in their bedsheets](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/Remodel-due-to-d2/Logos/chart%20(2).jpeg)\n", + "![Cheese consumption VS. People killed by becoming tangled in their bedsheets](https://github.com/devonfw-forge/python-data-driven-decisions/blob/Remodel-due-to-d2/Logos/chart%20(2).jpeg)\n", "\n", "\n", - "![People drowned VS. Nicolas Cage appearences](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/Remodel-due-to-d2/Logos/chart%20(1).jpeg)\n", + "![People drowned VS. Nicolas Cage appearences](https://github.com/devonfw-forge/python-data-driven-decisions/blob/Remodel-due-to-d2/Logos/chart%20(1).jpeg)\n", "\n", "\n", "Therefore, we have to be carefull with our results because correlation does not imply causation, it may have happened by chance that both variables are really similar.\n", @@ -11816,6 +11816,45 @@ "finalcount" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Examples\n", + "Exports_set=secondary.loc[secondary['Group']=='Exports']\n", + "Exports_MEX_set=Exports_set.loc[Exports_set['Country']=='MEX']\n", + "Exports_MEX_set" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Exports:\n", + "At a continent level, all results have been \"Yes\", what means that there can be some casuality in the secondary indicators of this primary one (exports).\n", + "For example, if we see the case of Mexico (Country=MEX), some indicators did not pass our H_0 hypothesis, such as Merchandise exports or Container per traffic among others. So, these may have some casuality according to our hypothesis." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Mortality_set=secondary.loc[secondary['Group']=='Mortality']\n", + "Mortality_set" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Mortality:\n", + "All answers to the question asked have been \"No\", so it implies that no casuality is expected. If we expect the indicators of this group, most of them verified our hypothesis and just some of them have a \"Denied\" value on it, but as these last do not represent more than 20% they can be omitted and we can state that Mortality is a relevant factor without causality in our datasample (error=0.04)." + ] + }, { "cell_type": "code", "execution_count": null, @@ -12027,7 +12066,7 @@ }, "vscode": { "interpreter": { - "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" + "hash": "292912297167048338b5d1136ec8c661b8a2f1d3fcecd6650d637809a967c218" } } }, From ff32b650b3a837b29538b7fdbe502453ce27945a Mon Sep 17 00:00:00 2001 From: amarchve Date: Tue, 2 Aug 2022 11:47:46 +0200 Subject: [PATCH 53/86] 1st slider --- WDI-Complete code.ipynb | 28 +++++++++++++++++++++++++--- 1 file changed, 25 insertions(+), 3 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 91dfada..0afceae 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -3607,7 +3607,28 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now, we will drop the columns which have over 308 missing values (20%), because the absence of data creates an unreliable source." + "Now, we will drop the columns which have over X% missing values because the absence of data creates an unreliable source. This % can be adjusted in the following slider. We have predetermined that 20% is a great starting point." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Slider1=widgets.FloatSlider(\n", + " value=0.2,\n", + " min=0,\n", + " max=1.0,\n", + " step=0.05,\n", + " description='% that creates unreliable source:',\n", + " disabled=False,\n", + " continuous_update=False,\n", + " orientation='horizontal',\n", + " readout=True,\n", + " readout_format='.1f',\n", + ")\n", + "Slider1" ] }, { @@ -4570,8 +4591,9 @@ } ], "source": [ + "number_1=len(data.index)*Slider1.value\n", "for i in range(0, len(cols)):\n", - " if data[cols[i]].isna().sum()>308:\n", + " if data[cols[i]].isna().sum()>number_1:\n", " del(data[cols[i]])\n", " print(cols[i])\n", "data" @@ -12066,7 +12088,7 @@ }, "vscode": { "interpreter": { - "hash": "292912297167048338b5d1136ec8c661b8a2f1d3fcecd6650d637809a967c218" + "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" } } }, From b24bc533889a23836249f58c9e3a37650ae3d5df Mon Sep 17 00:00:00 2001 From: amarchve Date: Tue, 2 Aug 2022 12:32:02 +0200 Subject: [PATCH 54/86] Sliders 2 --- WDI-Complete code.ipynb | 39 ++++++++++++++++++++++++++------------- 1 file changed, 26 insertions(+), 13 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 0afceae..0b65aa9 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -9090,11 +9090,20 @@ "df_study['GDP (current US$)']\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "multcolumn(df_study)" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Firstly we are going to create two lists for the variables, which their p-value is under 0.05 for each correlation, so later on, we can calculate only the correlations of those variables." + "Firstly we are going to create two lists for the variables, which their p-value is under desired for each correlation, so later on, we can calculate only the correlations of those variables. Which will be filtered by the values that we want from the following sliders. The predetermined values for each case are 0.05 for the values and 0.75 for the relevant correlations." ] }, { @@ -9103,7 +9112,11 @@ "metadata": {}, "outputs": [], "source": [ - "multcolumn(df_study)" + "apv=widgets.FloatSlider(value=0.05,min=0,max=1.0,step=0.025,description='P-value (Pearson):',disabled=False,continuous_update=False,orientation='horizontal',readout=True)\n", + "cpv=widgets.FloatSlider( value=0.05, min=0, max=1.0, step=0.05, description='P-value (Spearman):', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", + "bcor=widgets.FloatSlider( value=0.75, min=0, max=1.0, step=0.05, description='Relevant correlation (Pearson):', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", + "dcor=widgets.FloatSlider( value=0.75, min=0, max=1.0, step=0.05, description='Relevant correlation (Spearman):', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", + "display(apv,bcor,cpv,dcor)" ] }, { @@ -9124,12 +9137,12 @@ "for u in range(0,len(pilares)):\n", " if is_numeric_dtype(dat[pilares[u]]):\n", " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$).l'])\n", - " if pvalue<=0.05:\n", + " if pvalue<=apv:\n", " listacorpe.append(pilares[u])\n", " else:\n", " pass\n", " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$).l'])\n", - " if pvalue<=0.05:\n", + " if pvalue<=cpv:\n", " listacorsp.append(pilares[u])\n", " else:\n", " pass\n", @@ -9201,7 +9214,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now, we can apply the filter we have consider that is enough, R^2>=0.75 to filter the correlations." + "Now, we can apply the filter we have consider that is enough, selected on the slider. If is not varied it is R^2>=0.75 to filter the correlations." ] }, { @@ -9211,10 +9224,10 @@ "outputs": [], "source": [ "corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$).l']]\n", - "corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= 0.75]\n", + "corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >=bcor]\n", "\n", "corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", - "corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.75]" + "corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor]" ] }, { @@ -9502,12 +9515,12 @@ " for u in range(0,len(pilares)):\n", " if is_numeric_dtype(dat[pilares[u]]):\n", " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$).l'])\n", - " if pvalue<=0.05:\n", + " if pvalue<=apv:\n", " listacorpe.append(pilares[u])\n", " else:\n", " pass\n", " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$).l'])\n", - " if pvalue<=0.05:\n", + " if pvalue<=cpv:\n", " listacorsp.append(pilares[u])\n", " else:\n", " pass\n", @@ -9536,10 +9549,10 @@ "\n", "\n", " corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$).l']]\n", - " corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= 0.75]\n", + " corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= bcor]\n", " \n", " corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", - " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.75]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor]\n", "\n", "\n", " idp=corpcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corpcolumn['R^2 Pearson']\n", @@ -9773,7 +9786,7 @@ " cors.loc[:,'R^2 Spearman'] = cors[tempdiffs[f]]**2\n", " cors.loc[:,'Indicator']=cors.index\n", " corscolumn=cors[['Indicator','R^2 Spearman',tempdiffs[f]]]\n", - " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.75]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor]\n", " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", " corscolumn[ids]\n", " maxs_df=pd.DataFrame(corscolumn[ids])\n", @@ -9969,7 +9982,7 @@ " cors.loc[:,'R^2 Spearman'] = cors[tempdiffs[f]]**2\n", " cors.loc[:,'Indicator']=cors.index\n", " corscolumn=cors[['Indicator','R^2 Spearman',tempdiffs[f]]]\n", - " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= 0.75]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor]\n", " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", " corscolumn[ids]\n", " maxs_df=pd.DataFrame(corscolumn[ids])\n", From 2a02702d841f96b0fda2807a1e1452705f5ab1d4 Mon Sep 17 00:00:00 2001 From: amarchve Date: Tue, 2 Aug 2022 12:53:13 +0200 Subject: [PATCH 55/86] Slider 3 --- WDI-Complete code.ipynb | 45 ++++++++++++++++++++++++++++++----------- 1 file changed, 33 insertions(+), 12 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 0b65aa9..62a558e 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -9137,12 +9137,12 @@ "for u in range(0,len(pilares)):\n", " if is_numeric_dtype(dat[pilares[u]]):\n", " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$).l'])\n", - " if pvalue<=apv:\n", + " if pvalue<=apv.value:\n", " listacorpe.append(pilares[u])\n", " else:\n", " pass\n", " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$).l'])\n", - " if pvalue<=cpv:\n", + " if pvalue<=cpv.value:\n", " listacorsp.append(pilares[u])\n", " else:\n", " pass\n", @@ -9224,10 +9224,10 @@ "outputs": [], "source": [ "corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$).l']]\n", - "corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >=bcor]\n", + "corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >=bcor.value]\n", "\n", "corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", - "corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor]" + "corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor.value]" ] }, { @@ -9515,12 +9515,12 @@ " for u in range(0,len(pilares)):\n", " if is_numeric_dtype(dat[pilares[u]]):\n", " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$).l'])\n", - " if pvalue<=apv:\n", + " if pvalue<=apv.value:\n", " listacorpe.append(pilares[u])\n", " else:\n", " pass\n", " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$).l'])\n", - " if pvalue<=cpv:\n", + " if pvalue<=cpv.value:\n", " listacorsp.append(pilares[u])\n", " else:\n", " pass\n", @@ -9549,10 +9549,10 @@ "\n", "\n", " corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$).l']]\n", - " corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= bcor]\n", + " corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= bcor.value]\n", " \n", " corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", - " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor.value]\n", "\n", "\n", " idp=corpcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corpcolumn['R^2 Pearson']\n", @@ -9786,7 +9786,7 @@ " cors.loc[:,'R^2 Spearman'] = cors[tempdiffs[f]]**2\n", " cors.loc[:,'Indicator']=cors.index\n", " corscolumn=cors[['Indicator','R^2 Spearman',tempdiffs[f]]]\n", - " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor.value]\n", " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", " corscolumn[ids]\n", " maxs_df=pd.DataFrame(corscolumn[ids])\n", @@ -9982,7 +9982,7 @@ " cors.loc[:,'R^2 Spearman'] = cors[tempdiffs[f]]**2\n", " cors.loc[:,'Indicator']=cors.index\n", " corscolumn=cors[['Indicator','R^2 Spearman',tempdiffs[f]]]\n", - " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor.value]\n", " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", " corscolumn[ids]\n", " maxs_df=pd.DataFrame(corscolumn[ids])\n", @@ -10746,15 +10746,36 @@ "\n", "With this set, we can expose our hypothesis:\n", "\n", - "\"It is assumed that the correlation in the primary indicators can be caused by randomness, however if this correlation also appears in the secondary indicators for at least 80% of the countries that appears in the primaries (Pareto's rule), we can suppose that there is no randomness affecting each group. Furthermore, the first assumption has to happen in 80% of the secondary indicators to avoid any fortuity.\" \n", + "\"It is assumed that the correlation in the primary indicators can be caused by randomness, however if this correlation also appears in the secondary indicators for at least X% of the countries that appears in the primaries (Pareto's rule), we can suppose that there is no randomness affecting each group. Furthermore, the first assumption has to happen in Y% of the secondary indicators to avoid any fortuity.\" \n", "\n", "This hypothesis can be used in a global level, all the countries, or in the different regions. \n", "\n", - "For example if a primary indicator is repeated 20 times the secondary indicators must have repeated 18 times. And if there are 10 secondary indicators, it has to happen for, at least, 8 indicators.\n", + "For example if, X and Y =80% a primary indicator is repeated 20 times the secondary indicators must have repeated 18 times. And if there are 10 secondary indicators, it has to happen for, at least, 8 indicators.\n", "\n", "Finally, we will finish with two possible errors of 20%, which combined (20%*20%), leaves us with a 4% of margin of error, which is lower than the wildly spread of 5%.\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "limita=widgets.FloatSlider( value=0.8, min=0, max=1.0, step=0.05, description='% of primary indicators:', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", + "limitb=widgets.FloatSlider( value=0.8, min=0, max=1.0, step=0.05, description='% of secondary indicators:', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", + "display(limita,limitb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "a=(1-limita.value)*(1-limitb.value)*100\n", + "print('The margin of error in this combination is:',a)" + ] + }, { "cell_type": "code", "execution_count": 10, From ab522c4028b7280475cf6f0a835817d06c0915b0 Mon Sep 17 00:00:00 2001 From: amarchve Date: Tue, 2 Aug 2022 13:06:19 +0200 Subject: [PATCH 56/86] photos updated --- WDI-Complete code.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 62a558e..8a20745 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -10725,10 +10725,10 @@ "There is an interesting phenomenon, in some cases there are correlations that have a high coefficient and also an adequate graphics, but they do not make sense in the analysis, these are called spurious correlations. Here are some examples:\n", "\n", "\n", - "![Cheese consumption VS. People killed by becoming tangled in their bedsheets](https://github.com/devonfw-forge/python-data-driven-decisions/blob/Remodel-due-to-d2/Logos/chart%20(2).jpeg)\n", + "![Cheese consumption VS. People killed by becoming tangled in their bedsheets](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/main-the-big-three/Logos/chart%20(2).jpeg)\n", "\n", "\n", - "![People drowned VS. Nicolas Cage appearences](https://github.com/devonfw-forge/python-data-driven-decisions/blob/Remodel-due-to-d2/Logos/chart%20(1).jpeg)\n", + "![People drowned VS. Nicolas Cage appearences](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/main-the-big-three/Logos/chart%20(1).jpeg)\n", "\n", "\n", "Therefore, we have to be carefull with our results because correlation does not imply causation, it may have happened by chance that both variables are really similar.\n", From 2b8604440212a0978b5b4b50a25ac5646a7ad169 Mon Sep 17 00:00:00 2001 From: amarchve Date: Tue, 2 Aug 2022 13:25:59 +0200 Subject: [PATCH 57/86] final photos --- WDI-Complete code.ipynb | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 8a20745..69c4bfb 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -10725,10 +10725,9 @@ "There is an interesting phenomenon, in some cases there are correlations that have a high coefficient and also an adequate graphics, but they do not make sense in the analysis, these are called spurious correlations. Here are some examples:\n", "\n", "\n", - "![Cheese consumption VS. People killed by becoming tangled in their bedsheets](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/main-the-big-three/Logos/chart%20(2).jpeg)\n", + "\n", "\n", - "\n", - "![People drowned VS. Nicolas Cage appearences](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/main-the-big-three/Logos/chart%20(1).jpeg)\n", + "\n", "\n", "\n", "Therefore, we have to be carefull with our results because correlation does not imply causation, it may have happened by chance that both variables are really similar.\n", From 232245e7703409ea0c80e0e5a946090b154846a0 Mon Sep 17 00:00:00 2001 From: amarchve Date: Tue, 2 Aug 2022 13:27:16 +0200 Subject: [PATCH 58/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 47 ++++------------------------------------- 1 file changed, 4 insertions(+), 43 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 69c4bfb..ebbc70b 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -10881,7 +10881,7 @@ "source": [ "selected_p=categories.loc[categories['Level']=='primary']\n", "minprimary=selected_p.groupby('Group').min()\n", - "minprimary['Min']=round(minprimary['Number of times repeated']*0.8)\n", + "minprimary['Min']=round(minprimary['Number of times repeated']*limita.value)\n", "minprimary.drop(columns=['Indicator','Number of times repeated','Level'], inplace=True)\n", "minprimary\n" ] @@ -11399,7 +11399,7 @@ "outputs": [], "source": [ "finalcount=pd.merge(Global_Count,secondarycount, left_on='Group',right_on='Group')\n", - "finalcount['Does it have some global casuallity implied?']=np.where(finalcount['Secondary Count']/finalcount['Global Count']>0.8,'No', 'Yes')\n", + "finalcount['Does it have some global casuallity implied?']=np.where(finalcount['Secondary Count']/finalcount['Global Count']>limitb.value,'No', 'Yes')\n", "finalcount['% of count (Global)']=finalcount['Secondary Count']/finalcount['Global Count']*100\n", "finalcount.drop(columns=['Global Count','Secondary Count'],inplace=True)" ] @@ -11844,7 +11844,7 @@ " \n", " selected_p=categories.loc[categories['Level']=='primary']\n", " minprimary=selected_p.groupby('Group').min()\n", - " minprimary['Min']=round(minprimary['Number of times repeated']*0.8)\n", + " minprimary['Min']=round(minprimary['Number of times repeated']*limita.value)\n", " minprimary.drop(columns=['Indicator','Number of times repeated','Level'], inplace=True)\n", "\n", " grouplist=minprimary.index.to_list()\n", @@ -11863,7 +11863,7 @@ " secondarycount.rename(columns={'Min':'Secondary Count'},inplace=True)\n", "\n", " apfinalcount=pd.merge(Global_Count,secondarycount, left_on='Group',right_on='Group')\n", - " apfinalcount['Does it have some '+namescontinents[i]+' casuallity implied?']=np.where(apfinalcount['Secondary Count']/apfinalcount['Global Count']>0.8,'No', 'Yes')\n", + " apfinalcount['Does it have some '+namescontinents[i]+' casuallity implied?']=np.where(apfinalcount['Secondary Count']/apfinalcount['Global Count']>limitb.value,'No', 'Yes')\n", " apfinalcount['% of count ('+namescontinents[i]+')']=apfinalcount['Secondary Count']/apfinalcount['Global Count']*100\n", " apfinalcount.drop(columns=['Global Count','Secondary Count'],inplace=True)\n", " finalcount=pd.merge(finalcount,apfinalcount, left_on='Group',right_on='Group')\n", @@ -11871,45 +11871,6 @@ "finalcount" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Examples\n", - "Exports_set=secondary.loc[secondary['Group']=='Exports']\n", - "Exports_MEX_set=Exports_set.loc[Exports_set['Country']=='MEX']\n", - "Exports_MEX_set" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Exports:\n", - "At a continent level, all results have been \"Yes\", what means that there can be some casuality in the secondary indicators of this primary one (exports).\n", - "For example, if we see the case of Mexico (Country=MEX), some indicators did not pass our H_0 hypothesis, such as Merchandise exports or Container per traffic among others. So, these may have some casuality according to our hypothesis." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Mortality_set=secondary.loc[secondary['Group']=='Mortality']\n", - "Mortality_set" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Mortality:\n", - "All answers to the question asked have been \"No\", so it implies that no casuality is expected. If we expect the indicators of this group, most of them verified our hypothesis and just some of them have a \"Denied\" value on it, but as these last do not represent more than 20% they can be omitted and we can state that Mortality is a relevant factor without causality in our datasample (error=0.04)." - ] - }, { "cell_type": "code", "execution_count": null, From e60f04a4237341320bb3c022c113630004678419 Mon Sep 17 00:00:00 2001 From: amarchve Date: Tue, 2 Aug 2022 14:21:38 +0200 Subject: [PATCH 59/86] documentation --- WDI-Complete code.ipynb | 255 +++++----------------------------------- 1 file changed, 32 insertions(+), 223 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index ebbc70b..222db5b 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -10775,6 +10775,13 @@ "print('The margin of error in this combination is:',a)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Once we have selected both percentages and we agree with the margin of error, we can proceed to put into action our method. Firstly, we filter the primary indicators and get the minimun of times thatthe secondary have to be repeated." + ] + }, { "cell_type": "code", "execution_count": 10, @@ -10913,8 +10920,16 @@ } ], "source": [ - "grouplist=minprimary.index.to_list()\n", - "grouplist" + "grouplist=minprimary.index.to_list()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then, we test if the repetition are accomplished. \n", + "- H_0 data has correlation buy has not happened by randomness.\n", + "- H_1 data has correlation due to randomness (When H_0 denied H_1 is true)" ] }, { @@ -11167,241 +11182,28 @@ "source": [ "secondary=final.loc[final['Level']=='secondary']\n", "secondary=pd.merge(secondary,minprimary, left_on='Group',right_on='Group')\n", - "secondary" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "

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" - ], - "text/plain": [ - " Secondary Count\n", - "Group \n", - "Agriculture 244\n", - "Demography 186\n", - "Economy 659\n", - "Employment 83\n", - "Environment 450\n", - "Equality 33\n", - "Exports 263\n", - "Health 731\n", - "Mortality 482\n", - "Principal 79" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ "secondary['H_0']=np.where(secondary['Number of times repeated']-secondary['Min']>0,'Not Discarded', 'Denied')\n", "seco=secondary.groupby(['H_0','Group']).count()\n", "sec=seco.loc['Not Discarded']\n", "secondarycount=sec.drop(columns=['Indicator','R^2 Spearman','Behaviour','Country','Moved','Type','Continent','Number of times repeated','Level'])\n", "secondarycount.rename(columns={'Min':'Secondary Count'},inplace=True)\n", - "secondarycount" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ "continentlist=final['Continent'].unique()\n", - "namescontinents=['European', 'North African', 'Asian', 'Pair', 'Persian', 'South African', 'Latino-American']" + "namescontinents=['European', 'North African', 'Asian', 'Pair', 'Persian', 'South African', 'Latino-American']\n", + "finalcount=pd.merge(Global_Count,secondarycount, left_on='Group',right_on='Group')\n", + "finalcount['Does it have some global casuallity implied?']=np.where(finalcount['Secondary Count']/finalcount['Global Count']>limitb.value,'No', 'Yes')\n", + "finalcount['% of count (Global)']=finalcount['Secondary Count']/finalcount['Global Count']*100\n", + "finalcount.drop(columns=['Global Count','Secondary Count'],inplace=True)\n", + "fianlcount" ] }, { - "cell_type": "code", - "execution_count": 16, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "finalcount=pd.merge(Global_Count,secondarycount, left_on='Group',right_on='Group')\n", - "finalcount['Does it have some global casuallity implied?']=np.where(finalcount['Secondary Count']/finalcount['Global Count']>limitb.value,'No', 'Yes')\n", - "finalcount['% of count (Global)']=finalcount['Secondary Count']/finalcount['Global Count']*100\n", - "finalcount.drop(columns=['Global Count','Secondary Count'],inplace=True)" + "As we can see, in a Global situation for the groups that have a **NO**, we do not need to worry about casualities, however for the rest of the groups correlation can still be a great indicator as a basis for decision making, if we carefully analyze the variables and found some sort of real relationship between them. " ] }, { @@ -11871,6 +11673,13 @@ "finalcount" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we can observe into much more detail the differnt regions that we defined before, and for groups that have a **NO**, we do not need to worry about casualities. Meanwhile, for the rest of the groups correlation can still be a great indicator as a basis for decision making, if we carefully analyze the variables and found some sort of real relationship between them. 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z&u=U)vCF4>-m8Yoi)$22d!vx2i>*;RHHE3Zw=WK3FO!q0q`<*`AR}ggP0L^%+K+qZ zB0{1bB`>}k1OJlKU-9?(M+gvHYKQM=B0ac&&O41vTTx3~dAVVYd7u2IGF1NY(JcAO zakK-=vWpk@Fu*m@7^{R|{8uf%UaE%^?F%XAa5PuMuoKi}GvJAQ1A3GQJD?0tuEaC< zbhRLv*pob<@d7<)T;=#8Y37{dj!GPD@olG3viA%5>!r-PQc+k)m|_Cvy}D{K9!Q`& zgBCG0p0jRo3jG2uuNit@{9Ni=nyb@{UVuF&7H@~AW3FYcmFM})n|Y?-57`DaE?U(n z6)p>NBazFM-!5T?DCNFdY%*8Op;5M$0kfG?@PESI5od?_!p*^!pt>~JGS7caa(hcHc7vxf?t zYOnGXks#D5`F7w0lLL9Ks0pL8KLV~uA#y}IMBgJ+>nJQ~1i#o+5#Wol(8MmVq`e5L zoS5)D)bDcKzkP`&Y>X!n)`RB>mb#0~n#VlV5;{i}iPGYx>oM!4UDv3th4Bj`+vvrC zoq?8VJ4WAc-;Up^z&ts|`b~vZ0oIE`ef-@*0o?5|=mGQ~FFuKgYG;!rWyKFos!?v# zjr7ifv}H^9B|Y+0tB|jkCZUtwGoaTwOU}c={<)Q&q^zI@BZdS4kz|5Il+>YsLHzgX zECd7r_>Se@pN~lg3X)J{%t;)I?@)8N{@i1Cb@Q~da7}_##3A|n`49pE=kG4C&iw@^{KNkAnbsA~PB UA4(!n_l8L?O0;l$#;;5NA3`h|&;S4c From 1da536c64488ef15510f174076a58f8f33d6a12d Mon Sep 17 00:00:00 2001 From: amarchve Date: Wed, 3 Aug 2022 08:43:58 +0200 Subject: [PATCH 61/86] Documetation corr --- WDI-Complete code.ipynb | 49 +++++++++++++++++++++++++++++++---------- 1 file changed, 37 insertions(+), 12 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 222db5b..dec7575 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -8739,13 +8739,6 @@ "------------------------------" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### CORRELATION STUDY" - ] - }, { "cell_type": "code", "execution_count": null, @@ -8996,6 +8989,31 @@ "Categorization4.to_csv(os.getcwd()+'/Data/Categorization.csv')" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### CORRELATION STUDY" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For the correlation study, we are going to check if the indicators are related in a relevantly way to GDP(current US$), through both Pearson and Spearman correlations and their respective p-values. Thus, our hypotheses are as follow:\n", + "\n", + "- H_0: the indicator and the GDP are uncorrelated.​\n", + "- H_1: the indicator and the GDP are correlated.​\n", + "\n", + "**If p-value < α then reject H_0 and accept H_1.​**\n", + "\n", + "P-value: is the probability of obtaining test results at least as extreme as the result actually observed.\n", + "\n", + "​Confidence level (α): probability that a population parameter will fall between a set of values for a certain proportion of times. α = 1 - p-value.\n", + "\n", + "​Significance level: probability of the study rejecting the null hypothesis when it is actually true.​ " + ] + }, { "cell_type": "code", "execution_count": null, @@ -9103,7 +9121,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Firstly we are going to create two lists for the variables, which their p-value is under desired for each correlation, so later on, we can calculate only the correlations of those variables. Which will be filtered by the values that we want from the following sliders. The predetermined values for each case are 0.05 for the values and 0.75 for the relevant correlations." + "Firstly we are going to create two lists for the variables, which their level of confidence for each correlation, so later on, we can calculate only the correlations of those variables. Which will be filtered by the values that we want from the following sliders. The predetermined values for each case are 0.05 for the values and 0.75 for them to be a relevant correlations." ] }, { @@ -9112,13 +9130,20 @@ "metadata": {}, "outputs": [], "source": [ - "apv=widgets.FloatSlider(value=0.05,min=0,max=1.0,step=0.025,description='P-value (Pearson):',disabled=False,continuous_update=False,orientation='horizontal',readout=True)\n", - "cpv=widgets.FloatSlider( value=0.05, min=0, max=1.0, step=0.05, description='P-value (Spearman):', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", + "apv=widgets.FloatSlider(value=0.05,min=0,max=1.0,step=0.025,description='Level of confidence (Pearson):',disabled=False,continuous_update=False,orientation='horizontal',readout=True)\n", + "cpv=widgets.FloatSlider( value=0.05, min=0, max=1.0, step=0.05, description='Level of confidence (Spearman):', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", "bcor=widgets.FloatSlider( value=0.75, min=0, max=1.0, step=0.05, description='Relevant correlation (Pearson):', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", "dcor=widgets.FloatSlider( value=0.75, min=0, max=1.0, step=0.05, description='Relevant correlation (Spearman):', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", "display(apv,bcor,cpv,dcor)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the following block, we check the hypotheses set before and extract only the variables that deny H_0." + ] + }, { "cell_type": "code", "execution_count": null, @@ -9323,7 +9348,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "So, we can do it with all the countries and create just one dataframe." + "So, we can do it with all the countries and create just one dataframe, where we match both data frames, the Pearson and the Spearman, only where there is a case in both sides. Meaning if there is a relevant correlation for Country x in Variable y for Pearson, it will only appear if there is also a relevant correlation for Country x in Variable y for Spearman." ] }, { @@ -10722,7 +10747,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "There is an interesting phenomenon, in some cases there are correlations that have a high coefficient and also an adequate graphics, but they do not make sense in the analysis, these are called spurious correlations. Here are some examples:\n", + "However, there is an interesting phenomenon, in some cases there are correlations that have a high coefficient and also an adequate graphics, but they do not make sense in the analysis, these are called **spurious correlations**. Here are some examples:\n", "\n", "\n", "\n", From d213c5e61fb7f26daa89bcd73006a4ceaecf5dfb Mon Sep 17 00:00:00 2001 From: amarchve Date: Wed, 3 Aug 2022 08:52:09 +0200 Subject: [PATCH 62/86] H_0 sets --- WDI-Complete code.ipynb | 426 +++++++++++++++++++++------------------- 1 file changed, 228 insertions(+), 198 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index dec7575..d1054c7 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -5789,7 +5789,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -10223,7 +10223,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -10232,7 +10232,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -10242,7 +10242,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -10253,7 +10253,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -10292,68 +10292,68 @@ " \n", " \n", " 0\n", - " Individuals using the Internet (% of population)\n", - " 0.822917\n", - " Positive\n", + " Adolescent fertility rate (births per 1,000 wo...\n", + " 0.817804\n", + " Negative\n", " DEU\n", " 1\n", " Does not apply\n", " Europe\n", - " 8\n", - " NaN\n", - " NaN\n", + " 22\n", + " Demography\n", + " secondary\n", " \n", " \n", " 1\n", - " Individuals using the Internet (% of population)\n", - " 0.760791\n", - " Positive\n", - " FRA\n", - " 5\n", + " Adolescent fertility rate (births per 1,000 wo...\n", + " 0.759333\n", + " Negative\n", + " SWE\n", + " 3\n", " Does not apply\n", " Europe\n", - " 8\n", - " NaN\n", - " NaN\n", + " 22\n", + " Demography\n", + " secondary\n", " \n", " \n", " 2\n", - " Individuals using the Internet (% of population)\n", - " 0.768616\n", - " Positive\n", - " SWE\n", + " Adolescent fertility rate (births per 1,000 wo...\n", + " 0.936963\n", + " Negative\n", + " GBR\n", + " 13\n", " Does not apply\n", - " Cubic\n", " Europe\n", - " 8\n", - " NaN\n", - " NaN\n", + " 22\n", + " Demography\n", + " secondary\n", " \n", " \n", " 3\n", - " Individuals using the Internet (% of population)\n", - " 0.934571\n", - " Positive\n", - " GBR\n", + " Adolescent fertility rate (births per 1,000 wo...\n", + " 0.786708\n", + " Negative\n", + " HRV\n", " 8\n", " Does not apply\n", " Europe\n", - " 8\n", - " NaN\n", - " NaN\n", + " 22\n", + " Demography\n", + " secondary\n", " \n", " \n", " 4\n", - " Individuals using the Internet (% of population)\n", - " 0.801763\n", - " Positive\n", - " ESP\n", - " 8\n", + " Adolescent fertility rate (births per 1,000 wo...\n", + " 0.924056\n", + " Negative\n", + " POL\n", + " 21\n", " Does not apply\n", " Europe\n", - " 8\n", - " NaN\n", - " NaN\n", + " 22\n", + " Demography\n", + " secondary\n", " \n", " \n", " ...\n", @@ -10369,119 +10369,132 @@ " ...\n", " \n", " \n", - " 9484\n", - " Tuberculosis case detection rate (%, all forms)\n", - " 0.858062\n", - " Positive\n", - " PHL\n", + " 6832\n", + " Increase in poverty gap at $3\n", + " 0.989371\n", + " Negative\n", + " VNM\n", " Does not apply\n", - " Logarithmic\n", + " 20 ($ 2011 PPP) poverty line due to out-of-poc...\n", " Asia\n", - " 8\n", - " NaN\n", - " NaN\n", + " 13\n", + " Economy\n", + " secondary\n", " \n", " \n", - " 9485\n", - " Natural gas rents (% of GDP)\n", - " 0.888673\n", + " 6833\n", + " Increase in poverty gap at $3\n", + " 0.873482\n", " Negative\n", - " GHA\n", + " THA\n", " Does not apply\n", - " Logarithmic\n", - " South Africa\n", - " 1\n", - " NaN\n", - " NaN\n", + " 20 ($ 2011 PPP) poverty line due to out-of-poc...\n", + " Asia\n", + " 13\n", + " Economy\n", + " secondary\n", " \n", " \n", - " 9486\n", - " Natural gas rents (% of GDP)\n", - " 0.893013\n", + " 6834\n", + " Increase in poverty gap at $3\n", + " 0.890789\n", " Negative\n", - " BGD\n", - " 21\n", + " IDN\n", " Does not apply\n", + " 20 ($ 2011 PPP) poverty line due to out-of-poc...\n", " Asia\n", - " 1\n", - " NaN\n", - " NaN\n", + " 13\n", + " Economy\n", + " secondary\n", " \n", " \n", - " 9487\n", - " Natural gas rents (% of GDP)\n", - " 0.792003\n", - " Negative\n", - " IND\n", - " 21\n", + " 6835\n", + " Increase in poverty gap at $3\n", + " 0.801816\n", + " Positive\n", + " PHL\n", " Does not apply\n", + " 20 ($ 2011 PPP) poverty line due to out-of-poc...\n", " Asia\n", - " 1\n", - " NaN\n", - " NaN\n", + " 13\n", + " Economy\n", + " secondary\n", " \n", " \n", - " 9488\n", - " Land area (sq\n", - " 0.929636\n", - " Positive\n", - " KOR\n", + " 6836\n", + " Increase in poverty gap at $3\n", + " 0.833434\n", + " Negative\n", + " PER\n", " Does not apply\n", - " km).^3\n", - " Asia\n", - " 1\n", - " NaN\n", - " NaN\n", + " 20 ($ 2011 PPP) poverty line due to out-of-poc...\n", + " Latam\n", + " 13\n", + " Economy\n", + " secondary\n", " \n", " \n", "\n", - "

9489 rows × 10 columns

\n", + "

6837 rows × 10 columns

\n", "" ], "text/plain": [ - " Indicator R^2 Spearman \\\n", - "0 Individuals using the Internet (% of population) 0.822917 \n", - "1 Individuals using the Internet (% of population) 0.760791 \n", - "2 Individuals using the Internet (% of population) 0.768616 \n", - "3 Individuals using the Internet (% of population) 0.934571 \n", - "4 Individuals using the Internet (% of population) 0.801763 \n", - "... ... ... \n", - "9484 Tuberculosis case detection rate (%, all forms) 0.858062 \n", - "9485 Natural gas rents (% of GDP) 0.888673 \n", - "9486 Natural gas rents (% of GDP) 0.893013 \n", - "9487 Natural gas rents (% of GDP) 0.792003 \n", - "9488 Land area (sq 0.929636 \n", - "\n", - " Behaviour Country Moved Type Continent \\\n", - "0 Positive DEU 1 Does not apply Europe \n", - "1 Positive FRA 5 Does not apply Europe \n", - "2 Positive SWE Does not apply Cubic Europe \n", - "3 Positive GBR 8 Does not apply Europe \n", - "4 Positive ESP 8 Does not apply Europe \n", - "... ... ... ... ... ... \n", - "9484 Positive PHL Does not apply Logarithmic Asia \n", - "9485 Negative GHA Does not apply Logarithmic South Africa \n", - "9486 Negative BGD 21 Does not apply Asia \n", - "9487 Negative IND 21 Does not apply Asia \n", - "9488 Positive KOR Does not apply km).^3 Asia \n", - "\n", - " Number of times repeated Group Level \n", - "0 8 NaN NaN \n", - "1 8 NaN NaN \n", - "2 8 NaN NaN \n", - "3 8 NaN NaN \n", - "4 8 NaN NaN \n", - "... ... ... ... \n", - "9484 8 NaN NaN \n", - "9485 1 NaN NaN \n", - "9486 1 NaN NaN \n", - "9487 1 NaN NaN \n", - "9488 1 NaN NaN \n", - "\n", - "[9489 rows x 10 columns]" + " Indicator R^2 Spearman \\\n", + "0 Adolescent fertility rate (births per 1,000 wo... 0.817804 \n", + "1 Adolescent fertility rate (births per 1,000 wo... 0.759333 \n", + "2 Adolescent fertility rate (births per 1,000 wo... 0.936963 \n", + "3 Adolescent fertility rate (births per 1,000 wo... 0.786708 \n", + "4 Adolescent fertility rate (births per 1,000 wo... 0.924056 \n", + "... ... ... \n", + "6832 Increase in poverty gap at $3 0.989371 \n", + "6833 Increase in poverty gap at $3 0.873482 \n", + "6834 Increase in poverty gap at $3 0.890789 \n", + "6835 Increase in poverty gap at $3 0.801816 \n", + "6836 Increase in poverty gap at $3 0.833434 \n", + "\n", + " Behaviour Country Moved \\\n", + "0 Negative DEU 1 \n", + "1 Negative SWE 3 \n", + "2 Negative GBR 13 \n", + "3 Negative HRV 8 \n", + "4 Negative POL 21 \n", + "... ... ... ... \n", + "6832 Negative VNM Does not apply \n", + "6833 Negative THA Does not apply \n", + "6834 Negative IDN Does not apply \n", + "6835 Positive PHL Does not apply \n", + "6836 Negative PER Does not apply \n", + "\n", + " Type Continent \\\n", + "0 Does not apply Europe \n", + "1 Does not apply Europe \n", + "2 Does not apply Europe \n", + "3 Does not apply Europe \n", + "4 Does not apply Europe \n", + "... ... ... \n", + "6832 20 ($ 2011 PPP) poverty line due to out-of-poc... Asia \n", + "6833 20 ($ 2011 PPP) poverty line due to out-of-poc... Asia \n", + "6834 20 ($ 2011 PPP) poverty line due to out-of-poc... Asia \n", + "6835 20 ($ 2011 PPP) poverty line due to out-of-poc... Asia \n", + "6836 20 ($ 2011 PPP) poverty line due to out-of-poc... Latam \n", + "\n", + " Number of times repeated Group Level \n", + "0 22 Demography secondary \n", + "1 22 Demography secondary \n", + "2 22 Demography secondary \n", + "3 22 Demography secondary \n", + "4 22 Demography secondary \n", + "... ... ... ... \n", + "6832 13 Economy secondary \n", + "6833 13 Economy secondary \n", + "6834 13 Economy secondary \n", + "6835 13 Economy secondary \n", + "6836 13 Economy secondary \n", + "\n", + "[6837 rows x 10 columns]" ] }, - "execution_count": 7, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -10503,7 +10516,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -10533,28 +10546,28 @@ " \n", " \n", " \n", - " 293\n", + " 156\n", " Population in urban agglomerations of more tha...\n", " 61\n", " \n", " \n", - " 291\n", + " 154\n", " Population in largest city\n", " 60\n", " \n", " \n", - " 294\n", + " 157\n", " Population in urban agglomerations of more tha...\n", " 49\n", " \n", " \n", - " 132\n", - " GNI (current US$)\n", + " 97\n", + " Industry (including construction), value added...\n", " 46\n", " \n", " \n", - " 127\n", - " GDP per capita (current US$)\n", + " 75\n", + " GNI (current US$)\n", " 46\n", " \n", " \n", @@ -10563,66 +10576,66 @@ " ...\n", " \n", " \n", - " 30\n", - " Arms imports (SIPRI trend indicator values)\n", - " 3\n", + " 158\n", + " Poverty gap at $1\n", + " 16\n", " \n", " \n", - " 244\n", - " Natural gas rents (% of GDP)\n", - " 3\n", + " 86\n", + " HFC gas emissions (thousand metric tons of CO2...\n", + " 15\n", " \n", " \n", - " 86\n", - " Electricity production from nuclear sources (%...\n", - " 2\n", + " 125\n", + " Net barter terms of trade index (2000 = 100)\n", + " 14\n", " \n", " \n", - " 359\n", - " Surface area (sq\n", - " 2\n", + " 96\n", + " Increase in poverty gap at $3\n", + " 13\n", " \n", " \n", - " 188\n", - " Land area (sq\n", - " 1\n", + " 12\n", + " Agricultural land (sq\n", + " 13\n", " \n", " \n", "\n", - "

403 rows × 2 columns

\n", + "

212 rows × 2 columns

\n", "" ], "text/plain": [ " Indicator \\\n", - "293 Population in urban agglomerations of more tha... \n", - "291 Population in largest city \n", - "294 Population in urban agglomerations of more tha... \n", - "132 GNI (current US$) \n", - "127 GDP per capita (current US$) \n", + "156 Population in urban agglomerations of more tha... \n", + "154 Population in largest city \n", + "157 Population in urban agglomerations of more tha... \n", + "97 Industry (including construction), value added... \n", + "75 GNI (current US$) \n", ".. ... \n", - "30 Arms imports (SIPRI trend indicator values) \n", - "244 Natural gas rents (% of GDP) \n", - "86 Electricity production from nuclear sources (%... \n", - "359 Surface area (sq \n", - "188 Land area (sq \n", + "158 Poverty gap at $1 \n", + "86 HFC gas emissions (thousand metric tons of CO2... \n", + "125 Net barter terms of trade index (2000 = 100) \n", + "96 Increase in poverty gap at $3 \n", + "12 Agricultural land (sq \n", "\n", " Number of times repeated \n", - "293 61 \n", - "291 60 \n", - "294 49 \n", - "132 46 \n", - "127 46 \n", + "156 61 \n", + "154 60 \n", + "157 49 \n", + "97 46 \n", + "75 46 \n", ".. ... \n", - "30 3 \n", - "244 3 \n", - "86 2 \n", - "359 2 \n", - "188 1 \n", + "158 16 \n", + "86 15 \n", + "125 14 \n", + "96 13 \n", + "12 13 \n", "\n", - "[403 rows x 2 columns]" + "[212 rows x 2 columns]" ] }, - "execution_count": 8, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -10641,7 +10654,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -10673,42 +10686,42 @@ " \n", " 7\n", " Does not apply\n", - " 3229\n", + " 2845\n", " \n", " \n", " 6\n", " 8\n", - " 1278\n", + " 902\n", " \n", " \n", " 5\n", " 5\n", - " 1120\n", + " 741\n", " \n", " \n", " 1\n", " 13\n", - " 982\n", - " \n", - " \n", - " 3\n", - " 21\n", - " 957\n", + " 607\n", " \n", " \n", " 0\n", " 1\n", - " 793\n", + " 516\n", + " \n", + " \n", + " 3\n", + " 21\n", + " 474\n", " \n", " \n", " 2\n", " 2\n", - " 589\n", + " 414\n", " \n", " \n", " 4\n", " 3\n", - " 541\n", + " 338\n", " \n", " \n", "\n", @@ -10716,17 +10729,17 @@ ], "text/plain": [ " Time moved Number of times repeated\n", - "7 Does not apply 3229\n", - "6 8 1278\n", - "5 5 1120\n", - "1 13 982\n", - "3 21 957\n", - "0 1 793\n", - "2 2 589\n", - "4 3 541" + "7 Does not apply 2845\n", + "6 8 902\n", + "5 5 741\n", + "1 13 607\n", + "0 1 516\n", + "3 21 474\n", + "2 2 414\n", + "4 3 338" ] }, - "execution_count": 9, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -10743,6 +10756,13 @@ "final_moved" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Spurious correlations" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -10953,8 +10973,11 @@ "metadata": {}, "source": [ "Then, we test if the repetition are accomplished. \n", + "\n", "- H_0 data has correlation buy has not happened by randomness.\n", - "- H_1 data has correlation due to randomness (When H_0 denied H_1 is true)" + "- H_1 data has correlation due to randomness \n", + "\n", + "**If Number of times repeated the secondary indicator < Minimun per group, then H_0 denied and H_1 accepted**" ] }, { @@ -11705,6 +11728,13 @@ "Finally, we can observe into much more detail the differnt regions that we defined before, and for groups that have a **NO**, we do not need to worry about casualities. Meanwhile, for the rest of the groups correlation can still be a great indicator as a basis for decision making, if we carefully analyze the variables and found some sort of real relationship between them. " ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Visualization of results" + ] + }, { "cell_type": "code", "execution_count": null, From 7d5c417159f7b9bbddce33628f0ec7bbf40ea461 Mon Sep 17 00:00:00 2001 From: amarchve Date: Wed, 3 Aug 2022 09:17:23 +0200 Subject: [PATCH 63/86] Final tables --- WDI-Complete code.ipynb | 1031 +++++++++++++++++++-------------------- 1 file changed, 496 insertions(+), 535 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index d1054c7..51a0e39 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -9016,7 +9016,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -9025,7 +9025,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -9034,7 +9034,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -9052,16 +9052,16 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 46, "metadata": {}, "outputs": [], "source": [ "def multcolumn(frame):\n", " for u in range(0, len(columns)-3):\n", - " name=columns[u]+'.l'\n", - " name2=columns[u]+'.^2'\n", - " name3=columns[u]+'.^3'\n", - " namelog=columns[u]+'.log'\n", + " name=columns[u]+'¨l'\n", + " name2=columns[u]+'¨^2'\n", + " name3=columns[u]+'¨^3'\n", + " namelog=columns[u]+'¨log'\n", " frame.loc[:,name2] = frame[columns[u]]**2\n", " frame.loc[:,name3] = frame[columns[u]]**3\n", " frame.loc[:,namelog] = np.log(frame[columns[u]])\n", @@ -9077,40 +9077,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 47, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0 1.000000\n", - "1 1.054905\n", - "2 1.203142\n", - "3 1.169136\n", - "4 1.244629\n", - " ... \n", - "1531 34.114284\n", - "1532 38.504955\n", - "1533 39.572189\n", - "1534 40.799246\n", - "1535 40.799246\n", - "Name: GDP (current US$), Length: 1536, dtype: float64" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "df= pd.read_csv (os.getcwd()+'/Data/'+'GoldenDataFrame.csv')\n", - "df_study=df[[c for c in df.columns if c in columns]]\n", - "df_study['GDP (current US$)']\n" + "df_study=df[[c for c in df.columns if c in columns]]\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ @@ -9126,9 +9103,66 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "bf09bd91f02b4ce19070b2b77508ac60", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.05, continuous_update=False, description='Level of confidence (Pearson):', max=1.0, step=0…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8a0cfdcca53f479d9abf09a37df8af10", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.75, continuous_update=False, description='Relevant correlation (Pearson):', max=1.0, step=…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cef64eeb4ec841cd8f49108d15cbb63d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.05, continuous_update=False, description='Level of confidence (Spearman):', max=1.0, step=…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "10aaf4c5d7de47f59967c721623cba0d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.75, continuous_update=False, description='Relevant correlation (Spearman):', max=1.0, step…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "apv=widgets.FloatSlider(value=0.05,min=0,max=1.0,step=0.025,description='Level of confidence (Pearson):',disabled=False,continuous_update=False,orientation='horizontal',readout=True)\n", "cpv=widgets.FloatSlider( value=0.05, min=0, max=1.0, step=0.05, description='Level of confidence (Spearman):', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", @@ -9146,7 +9180,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -9161,12 +9195,12 @@ "pilares=dat.columns.values.tolist()\n", "for u in range(0,len(pilares)):\n", " if is_numeric_dtype(dat[pilares[u]]):\n", - " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$).l'])\n", + " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$)¨l'])\n", " if pvalue<=apv.value:\n", " listacorpe.append(pilares[u])\n", " else:\n", " pass\n", - " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$).l'])\n", + " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$)¨l'])\n", " if pvalue<=cpv.value:\n", " listacorsp.append(pilares[u])\n", " else:\n", @@ -9184,7 +9218,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ @@ -9206,13 +9240,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 51, "metadata": {}, "outputs": [], "source": [ - "corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$).l']**2\n", + "corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$)¨l']**2\n", "\n", - "cors.loc[:,'R^2 Spearman'] = cors['GDP (current US$).l']**2" + "cors.loc[:,'R^2 Spearman'] = cors['GDP (current US$)¨l']**2" ] }, { @@ -9224,15 +9258,15 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 52, "metadata": {}, "outputs": [], "source": [ "corp.loc[:,'Indicator']=corp.index\n", - "corp[['Indicator','Type']]=corp.Indicator.str.split('.',1, expand=True)\n", + "corp[['Indicator','Type']]=corp.Indicator.str.split('¨',1, expand=True)\n", "\n", "cors.loc[:,'Indicator']=cors.index\n", - "cors[['Indicator','Type']]=cors.Indicator.str.split('.',1, expand=True)" + "cors[['Indicator','Type']]=cors.Indicator.str.split('¨',1, expand=True)" ] }, { @@ -9244,14 +9278,14 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 53, "metadata": {}, "outputs": [], "source": [ - "corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$).l']]\n", + "corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$)¨l']]\n", "corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >=bcor.value]\n", "\n", - "corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", + "corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$)¨l']]\n", "corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor.value]" ] }, @@ -9264,7 +9298,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 54, "metadata": {}, "outputs": [], "source": [ @@ -9286,15 +9320,15 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 55, "metadata": {}, "outputs": [], "source": [ - "maxp_df['Behaviour']=np.where(maxp_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", + "maxp_df['Behaviour']=np.where(maxp_df['GDP (current US$)¨l']>0, 'Positive', 'Negative')\n", "maxp_df['Type']=maxp_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", "maxp_df['Country']= clist[0]\n", "\n", - "maxs_df['Behaviour']=np.where(maxs_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", + "maxs_df['Behaviour']=np.where(maxs_df['GDP (current US$)¨l']>0, 'Positive', 'Negative')\n", "maxs_df['Type']=maxs_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", "maxs_df['Country']= clist[0]" ] @@ -9308,17 +9342,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 56, "metadata": {}, "outputs": [], "source": [ - "maxp_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", + "maxp_df.drop(\"GDP (current US$)¨l\",axis=1,inplace=True)\n", "maxp_df=maxp_df.reset_index(drop=True)\n", "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Year'].index)\n", "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='GDP (current US$)'].index)\n", "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Unnamed: 0'].index)\n", "\n", - "maxs_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", + "maxs_df.drop(\"GDP (current US$)¨l\",axis=1,inplace=True)\n", "maxs_df=maxs_df.reset_index(drop=True)\n", "maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", "maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='GDP (current US$)'].index)\n", @@ -9335,7 +9369,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 57, "metadata": {}, "outputs": [], "source": [ @@ -9353,7 +9387,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -9441,7 +9475,7 @@ " ...\n", " \n", " \n", - " 5948\n", + " 5965\n", " Prevalence of anemia among women of reproducti...\n", " 0.793298\n", " Logarithmic\n", @@ -9450,7 +9484,7 @@ " 0.752969\n", " \n", " \n", - " 5949\n", + " 5966\n", " Logistics performance index: Ability to track ...\n", " 0.788049\n", " Logarithmic\n", @@ -9459,7 +9493,7 @@ " 0.926947\n", " \n", " \n", - " 5950\n", + " 5967\n", " Logistics performance index: Competence and qu...\n", " 0.788049\n", " Logarithmic\n", @@ -9468,7 +9502,7 @@ " 0.890297\n", " \n", " \n", - " 5951\n", + " 5968\n", " Out-of-pocket expenditure (% of current health...\n", " 0.782573\n", " Logarithmic\n", @@ -9477,7 +9511,7 @@ " 0.929883\n", " \n", " \n", - " 5952\n", + " 5969\n", " Domestic general government health expenditure...\n", " 0.758910\n", " Cubic\n", @@ -9487,7 +9521,7 @@ " \n", " \n", "\n", - "

5953 rows × 6 columns

\n", + "

5970 rows × 6 columns

\n", "" ], "text/plain": [ @@ -9498,11 +9532,11 @@ "3 Gross national expenditure (current US$) 0.990490 \n", "4 Final consumption expenditure (current US$) 0.988302 \n", "... ... ... \n", - "5948 Prevalence of anemia among women of reproducti... 0.793298 \n", - "5949 Logistics performance index: Ability to track ... 0.788049 \n", - "5950 Logistics performance index: Competence and qu... 0.788049 \n", - "5951 Out-of-pocket expenditure (% of current health... 0.782573 \n", - "5952 Domestic general government health expenditure... 0.758910 \n", + "5965 Prevalence of anemia among women of reproducti... 0.793298 \n", + "5966 Logistics performance index: Ability to track ... 0.788049 \n", + "5967 Logistics performance index: Competence and qu... 0.788049 \n", + "5968 Out-of-pocket expenditure (% of current health... 0.782573 \n", + "5969 Domestic general government health expenditure... 0.758910 \n", "\n", " Type Behaviour Country R^2 Pearson \n", "0 Linear Positive DEU 0.999141 \n", @@ -9511,13 +9545,13 @@ "3 Linear Positive DEU 0.997181 \n", "4 Linear Positive DEU 0.996540 \n", "... ... ... ... ... \n", - "5948 Logarithmic Negative CHN 0.752969 \n", - "5949 Logarithmic Positive CHN 0.926947 \n", - "5950 Logarithmic Positive CHN 0.890297 \n", - "5951 Logarithmic Negative CHN 0.929883 \n", - "5952 Cubic Positive CHN 0.797637 \n", + "5965 Logarithmic Negative CHN 0.752969 \n", + "5966 Logarithmic Positive CHN 0.926947 \n", + "5967 Logarithmic Positive CHN 0.890297 \n", + "5968 Logarithmic Negative CHN 0.929883 \n", + "5969 Cubic Positive CHN 0.797637 \n", "\n", - "[5953 rows x 6 columns]" + "[5970 rows x 6 columns]" ] }, "metadata": {}, @@ -9539,12 +9573,12 @@ " pilares=dat.columns.values.tolist()\n", " for u in range(0,len(pilares)):\n", " if is_numeric_dtype(dat[pilares[u]]):\n", - " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$).l'])\n", + " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$)¨l'])\n", " if pvalue<=apv.value:\n", " listacorpe.append(pilares[u])\n", " else:\n", " pass\n", - " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$).l'])\n", + " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$)¨l'])\n", " if pvalue<=cpv.value:\n", " listacorsp.append(pilares[u])\n", " else:\n", @@ -9561,22 +9595,22 @@ " cors=datsp.corr('spearman')\n", "\n", "\n", - " corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$).l']**2\n", + " corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$)¨l']**2\n", "\n", - " cors.loc[:,'R^2 Spearman'] = cors['GDP (current US$).l']**2\n", + " cors.loc[:,'R^2 Spearman'] = cors['GDP (current US$)¨l']**2\n", "\n", "\n", " corp.loc[:,'Indicator']=corp.index\n", - " corp[['Indicator','Type']]=corp.Indicator.str.split('.',1, expand=True)\n", + " corp[['Indicator','Type']]=corp.Indicator.str.split('¨',1, expand=True)\n", "\n", " cors.loc[:,'Indicator']=cors.index\n", - " cors[['Indicator','Type']]=cors.Indicator.str.split('.',1, expand=True)\n", + " cors[['Indicator','Type']]=cors.Indicator.str.split('¨',1, expand=True)\n", "\n", "\n", - " corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$).l']]\n", + " corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$)¨l']]\n", " corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= bcor.value]\n", " \n", - " corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$).l']]\n", + " corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$)¨l']]\n", " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor.value]\n", "\n", "\n", @@ -9589,22 +9623,22 @@ " maxs_df=pd.DataFrame(corscolumn[ids])\n", "\n", "\n", - " maxp_df['Behaviour']=np.where(maxp_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", + " maxp_df['Behaviour']=np.where(maxp_df['GDP (current US$)¨l']>0, 'Positive', 'Negative')\n", " maxp_df['Type']=maxp_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", " maxp_df['Country']= clist[i]\n", "\n", - " maxs_df['Behaviour']=np.where(maxs_df['GDP (current US$).l']>0, 'Positive', 'Negative')\n", + " maxs_df['Behaviour']=np.where(maxs_df['GDP (current US$)¨l']>0, 'Positive', 'Negative')\n", " maxs_df['Type']=maxs_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", " maxs_df['Country']= clist[i]\n", "\n", "\n", - " maxp_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", + " maxp_df.drop(\"GDP (current US$)¨l\",axis=1,inplace=True)\n", " maxp_df=maxp_df.reset_index(drop=True)\n", " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Year'].index)\n", " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='GDP (current US$)'].index)\n", " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Unnamed: 0'].index)\n", "\n", - " maxs_df.drop(\"GDP (current US$).l\",axis=1,inplace=True)\n", + " maxs_df.drop(\"GDP (current US$)¨l\",axis=1,inplace=True)\n", " maxs_df=maxs_df.reset_index(drop=True)\n", " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='GDP (current US$)'].index)\n", @@ -9629,7 +9663,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 59, "metadata": {}, "outputs": [], "source": [ @@ -9639,7 +9673,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -9674,7 +9708,7 @@ " 46\n", " \n", " \n", - " 176\n", + " 178\n", " Industry (including construction), value added...\n", " 46\n", " \n", @@ -9699,23 +9733,23 @@ " ...\n", " \n", " \n", - " 368\n", - " Time required to enforce a contract (days)\n", + " 250\n", + " Net official development assistance and offici...\n", " 1\n", " \n", " \n", - " 246\n", + " 248\n", " Net capital account (BoP, current US$)\n", " 1\n", " \n", " \n", - " 244\n", + " 246\n", " Natural gas rents (% of GDP)\n", " 1\n", " \n", " \n", - " 95\n", - " Expenditure on tertiary education (% of govern...\n", + " 29\n", + " Arms exports (SIPRI trend indicator values)\n", " 1\n", " \n", " \n", @@ -9725,37 +9759,37 @@ " \n", " \n", "\n", - "

403 rows × 2 columns

\n", + "

405 rows × 2 columns

\n", "" ], "text/plain": [ " Indicator \\\n", "127 GDP per capita (current US$) \n", - "176 Industry (including construction), value added... \n", + "178 Industry (including construction), value added... \n", "132 GNI (current US$) \n", "152 Households and NPISHs Final consumption expend... \n", "108 Final consumption expenditure (current US$) \n", ".. ... \n", - "368 Time required to enforce a contract (days) \n", - "246 Net capital account (BoP, current US$) \n", - "244 Natural gas rents (% of GDP) \n", - "95 Expenditure on tertiary education (% of govern... \n", + "250 Net official development assistance and offici... \n", + "248 Net capital account (BoP, current US$) \n", + "246 Natural gas rents (% of GDP) \n", + "29 Arms exports (SIPRI trend indicator values) \n", "142 Gross fixed capital formation (% of GDP) \n", "\n", " Number of times repeated \n", "127 46 \n", - "176 46 \n", + "178 46 \n", "132 46 \n", "152 45 \n", "108 45 \n", ".. ... \n", - "368 1 \n", + "250 1 \n", + "248 1 \n", "246 1 \n", - "244 1 \n", - "95 1 \n", + "29 1 \n", "142 1 \n", "\n", - "[403 rows x 2 columns]" + "[405 rows x 2 columns]" ] }, "metadata": {}, @@ -9775,7 +9809,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 61, "metadata": {}, "outputs": [], "source": [ @@ -9787,7 +9821,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 62, "metadata": {}, "outputs": [], "source": [ @@ -9797,7 +9831,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 63, "metadata": {}, "outputs": [], "source": [ @@ -9835,7 +9869,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -9990,7 +10024,7 @@ "[9700 rows x 5 columns]" ] }, - "execution_count": 75, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -10031,7 +10065,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 65, "metadata": {}, "outputs": [ { @@ -10119,7 +10153,7 @@ " ...\n", " \n", " \n", - " 5948\n", + " 5965\n", " Prevalence of anemia among women of reproducti...\n", " 0.793298\n", " Negative\n", @@ -10128,7 +10162,7 @@ " Logarithmic\n", " \n", " \n", - " 5949\n", + " 5966\n", " Logistics performance index: Ability to track ...\n", " 0.788049\n", " Positive\n", @@ -10137,7 +10171,7 @@ " Logarithmic\n", " \n", " \n", - " 5950\n", + " 5967\n", " Logistics performance index: Competence and qu...\n", " 0.788049\n", " Positive\n", @@ -10146,7 +10180,7 @@ " Logarithmic\n", " \n", " \n", - " 5951\n", + " 5968\n", " Out-of-pocket expenditure (% of current health...\n", " 0.782573\n", " Negative\n", @@ -10155,7 +10189,7 @@ " Logarithmic\n", " \n", " \n", - " 5952\n", + " 5969\n", " Domestic general government health expenditure...\n", " 0.758910\n", " Positive\n", @@ -10165,7 +10199,7 @@ " \n", " \n", "\n", - "

15653 rows × 6 columns

\n", + "

15670 rows × 6 columns

\n", "" ], "text/plain": [ @@ -10176,11 +10210,11 @@ "78 Surface area (sq. km) 0.821642 \n", "5 Adolescent fertility rate (births per 1,000 wo... 0.817804 \n", "... ... ... \n", - "5948 Prevalence of anemia among women of reproducti... 0.793298 \n", - "5949 Logistics performance index: Ability to track ... 0.788049 \n", - "5950 Logistics performance index: Competence and qu... 0.788049 \n", - "5951 Out-of-pocket expenditure (% of current health... 0.782573 \n", - "5952 Domestic general government health expenditure... 0.758910 \n", + "5965 Prevalence of anemia among women of reproducti... 0.793298 \n", + "5966 Logistics performance index: Ability to track ... 0.788049 \n", + "5967 Logistics performance index: Competence and qu... 0.788049 \n", + "5968 Out-of-pocket expenditure (% of current health... 0.782573 \n", + "5969 Domestic general government health expenditure... 0.758910 \n", "\n", " Behaviour Country Moved Type \n", "4 Positive DEU 1 Does not apply \n", @@ -10189,16 +10223,16 @@ "78 Positive DEU 1 Does not apply \n", "5 Negative DEU 1 Does not apply \n", "... ... ... ... ... \n", - "5948 Negative CHN Does not apply Logarithmic \n", - "5949 Positive CHN Does not apply Logarithmic \n", - "5950 Positive CHN Does not apply Logarithmic \n", - "5951 Negative CHN Does not apply Logarithmic \n", - "5952 Positive CHN Does not apply Cubic \n", + "5965 Negative CHN Does not apply Logarithmic \n", + "5966 Positive CHN Does not apply Logarithmic \n", + "5967 Positive CHN Does not apply Logarithmic \n", + "5968 Negative CHN Does not apply Logarithmic \n", + "5969 Positive CHN Does not apply Cubic \n", "\n", - "[15653 rows x 6 columns]" + "[15670 rows x 6 columns]" ] }, - "execution_count": 76, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" } @@ -10214,7 +10248,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ @@ -10223,7 +10257,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 68, "metadata": {}, "outputs": [], "source": [ @@ -10232,7 +10266,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ @@ -10242,7 +10276,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 70, "metadata": {}, "outputs": [], "source": [ @@ -10253,7 +10287,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -10369,73 +10403,73 @@ " ...\n", " \n", " \n", - " 6832\n", - " Increase in poverty gap at $3\n", - " 0.989371\n", - " Negative\n", - " VNM\n", + " 6640\n", + " Completeness of birth registration (%)\n", + " 0.839228\n", + " Positive\n", + " PER\n", + " 5\n", " Does not apply\n", - " 20 ($ 2011 PPP) poverty line due to out-of-poc...\n", - " Asia\n", - " 13\n", - " Economy\n", + " Latam\n", + " 11\n", + " Demoraphy\n", " secondary\n", " \n", " \n", - " 6833\n", - " Increase in poverty gap at $3\n", - " 0.873482\n", + " 6641\n", + " Completeness of birth registration (%)\n", + " 0.792184\n", " Negative\n", - " THA\n", + " VEN\n", + " 1\n", " Does not apply\n", - " 20 ($ 2011 PPP) poverty line due to out-of-poc...\n", - " Asia\n", - " 13\n", - " Economy\n", + " Latam\n", + " 11\n", + " Demoraphy\n", " secondary\n", " \n", " \n", - " 6834\n", - " Increase in poverty gap at $3\n", - " 0.890789\n", - " Negative\n", - " IDN\n", + " 6642\n", + " Completeness of birth registration (%)\n", + " 0.840648\n", + " Positive\n", + " COL\n", + " 2\n", " Does not apply\n", - " 20 ($ 2011 PPP) poverty line due to out-of-poc...\n", - " Asia\n", - " 13\n", - " Economy\n", + " Latam\n", + " 11\n", + " Demoraphy\n", " secondary\n", " \n", " \n", - " 6835\n", - " Increase in poverty gap at $3\n", - " 0.801816\n", + " 6643\n", + " Completeness of birth registration (%)\n", + " 0.963636\n", " Positive\n", - " PHL\n", + " PAN\n", + " 21\n", " Does not apply\n", - " 20 ($ 2011 PPP) poverty line due to out-of-poc...\n", - " Asia\n", - " 13\n", - " Economy\n", + " Latam\n", + " 11\n", + " Demoraphy\n", " secondary\n", " \n", " \n", - " 6836\n", - " Increase in poverty gap at $3\n", - " 0.833434\n", - " Negative\n", - " PER\n", + " 6644\n", + " Completeness of birth registration (%)\n", + " 0.789474\n", + " Positive\n", + " CRI\n", + " 13\n", " Does not apply\n", - " 20 ($ 2011 PPP) poverty line due to out-of-poc...\n", " Latam\n", - " 13\n", - " Economy\n", + " 11\n", + " Demoraphy\n", " secondary\n", " \n", " \n", "\n", - "

6837 rows × 10 columns

\n", + "

6645 rows × 10 columns

\n", "" ], "text/plain": [ @@ -10446,37 +10480,24 @@ "3 Adolescent fertility rate (births per 1,000 wo... 0.786708 \n", "4 Adolescent fertility rate (births per 1,000 wo... 0.924056 \n", "... ... ... \n", - "6832 Increase in poverty gap at $3 0.989371 \n", - "6833 Increase in poverty gap at $3 0.873482 \n", - "6834 Increase in poverty gap at $3 0.890789 \n", - "6835 Increase in poverty gap at $3 0.801816 \n", - "6836 Increase in poverty gap at $3 0.833434 \n", - "\n", - " Behaviour Country Moved \\\n", - "0 Negative DEU 1 \n", - "1 Negative SWE 3 \n", - "2 Negative GBR 13 \n", - "3 Negative HRV 8 \n", - "4 Negative POL 21 \n", - "... ... ... ... \n", - "6832 Negative VNM Does not apply \n", - "6833 Negative THA Does not apply \n", - "6834 Negative IDN Does not apply \n", - "6835 Positive PHL Does not apply \n", - "6836 Negative PER Does not apply \n", - "\n", - " Type Continent \\\n", - "0 Does not apply Europe \n", - "1 Does not apply Europe \n", - "2 Does not apply Europe \n", - "3 Does not apply Europe \n", - "4 Does not apply Europe \n", - "... ... ... \n", - "6832 20 ($ 2011 PPP) poverty line due to out-of-poc... Asia \n", - "6833 20 ($ 2011 PPP) poverty line due to out-of-poc... Asia \n", - "6834 20 ($ 2011 PPP) poverty line due to out-of-poc... Asia \n", - "6835 20 ($ 2011 PPP) poverty line due to out-of-poc... Asia \n", - "6836 20 ($ 2011 PPP) poverty line due to out-of-poc... Latam \n", + "6640 Completeness of birth registration (%) 0.839228 \n", + "6641 Completeness of birth registration (%) 0.792184 \n", + "6642 Completeness of birth registration (%) 0.840648 \n", + "6643 Completeness of birth registration (%) 0.963636 \n", + "6644 Completeness of birth registration (%) 0.789474 \n", + "\n", + " Behaviour Country Moved Type Continent \\\n", + "0 Negative DEU 1 Does not apply Europe \n", + "1 Negative SWE 3 Does not apply Europe \n", + "2 Negative GBR 13 Does not apply Europe \n", + "3 Negative HRV 8 Does not apply Europe \n", + "4 Negative POL 21 Does not apply Europe \n", + "... ... ... ... ... ... \n", + "6640 Positive PER 5 Does not apply Latam \n", + "6641 Negative VEN 1 Does not apply Latam \n", + "6642 Positive COL 2 Does not apply Latam \n", + "6643 Positive PAN 21 Does not apply Latam \n", + "6644 Positive CRI 13 Does not apply Latam \n", "\n", " Number of times repeated Group Level \n", "0 22 Demography secondary \n", @@ -10485,16 +10506,16 @@ "3 22 Demography secondary \n", "4 22 Demography secondary \n", "... ... ... ... \n", - "6832 13 Economy secondary \n", - "6833 13 Economy secondary \n", - "6834 13 Economy secondary \n", - "6835 13 Economy secondary \n", - "6836 13 Economy secondary \n", + "6640 11 Demoraphy secondary \n", + "6641 11 Demoraphy secondary \n", + "6642 11 Demoraphy secondary \n", + "6643 11 Demoraphy secondary \n", + "6644 11 Demoraphy secondary \n", "\n", - "[6837 rows x 10 columns]" + "[6645 rows x 10 columns]" ] }, - "execution_count": 6, + "execution_count": 71, "metadata": {}, "output_type": "execute_result" } @@ -10516,7 +10537,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 72, "metadata": {}, "outputs": [ { @@ -10546,27 +10567,27 @@ " \n", " \n", " \n", - " 156\n", + " 152\n", " Population in urban agglomerations of more tha...\n", " 61\n", " \n", " \n", - " 154\n", + " 150\n", " Population in largest city\n", " 60\n", " \n", " \n", - " 157\n", + " 153\n", " Population in urban agglomerations of more tha...\n", " 49\n", " \n", " \n", - " 97\n", - " Industry (including construction), value added...\n", + " 143\n", + " People using at least basic sanitation service...\n", " 46\n", " \n", " \n", - " 75\n", + " 73\n", " GNI (current US$)\n", " 46\n", " \n", @@ -10576,66 +10597,66 @@ " ...\n", " \n", " \n", - " 158\n", - " Poverty gap at $1\n", - " 16\n", + " 42\n", + " Customs and other import duties (% of tax reve...\n", + " 18\n", " \n", " \n", - " 86\n", - " HFC gas emissions (thousand metric tons of CO2...\n", - " 15\n", + " 31\n", + " Cereal yield (kg per hectare)\n", + " 18\n", " \n", " \n", - " 125\n", - " Net barter terms of trade index (2000 = 100)\n", - " 14\n", + " 187\n", + " Taxes on international trade (% of revenue)\n", + " 17\n", " \n", " \n", - " 96\n", - " Increase in poverty gap at $3\n", - " 13\n", + " 84\n", + " HFC gas emissions (thousand metric tons of CO2...\n", + " 15\n", " \n", " \n", - " 12\n", - " Agricultural land (sq\n", - " 13\n", + " 122\n", + " Net barter terms of trade index (2000 = 100)\n", + " 14\n", " \n", " \n", "\n", - "

212 rows × 2 columns

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202 rows × 2 columns

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Type of behaviourNumber of times repeated
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Type of relationshipNumber of times repeated
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" + ], + "text/plain": [ + " Type of relationship Number of times repeated\n", + "3 Linear 1294\n", + "4 Logarithmic 687\n", + "1 Cubic 419\n", + "0 Cuadratic 253" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "columnssf=final.Type.to_list()\n", + "columnsf=np.unique(columnssf)\n", + "powerind=[]\n", + "for i in range(0, len(columnsf)):\n", + " powerind.append(columnssf.count(columnsf[i]))\n", + "\n", + "final_type = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Type of relationship','Number of times repeated'])\n", + "final_type=final_type.sort_values(by = 'Number of times repeated',ascending = False)\n", + "final_type.drop([2], inplace=True)\n", + "final_type" + ] + }, + { + "cell_type": "code", + "execution_count": 78, "metadata": {}, "outputs": [ { @@ -10686,7 +10856,7 @@ " \n", " 7\n", " Does not apply\n", - " 2845\n", + " 2653\n", " \n", " \n", " 6\n", @@ -10729,7 +10899,7 @@ ], "text/plain": [ " Time moved Number of times repeated\n", - "7 Does not apply 2845\n", + "7 Does not apply 2653\n", "6 8 902\n", "5 5 741\n", "1 13 607\n", @@ -10739,7 +10909,7 @@ "4 3 338" ] }, - "execution_count": 8, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } @@ -10803,7 +10973,36 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a1a4335323f941a59572bbb5f72dfed8", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.8, continuous_update=False, description='% of primary indicators:', max=1.0, step=0.05)" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b4e98cc498ce47ae96cfa59b2f238cb5", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.8, continuous_update=False, description='% of secondary indicators:', max=1.0, step=0.05)" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "limita=widgets.FloatSlider( value=0.8, min=0, max=1.0, step=0.05, description='% of primary indicators:', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", "limitb=widgets.FloatSlider( value=0.8, min=0, max=1.0, step=0.05, description='% of secondary indicators:', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", @@ -10814,7 +11013,15 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The margin of error in this combination is: 3.9999999999999982\n" + ] + } + ], "source": [ "a=(1-limita.value)*(1-limitb.value)*100\n", "print('The margin of error in this combination is:',a)" @@ -10829,7 +11036,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -10898,6 +11105,10 @@ " 9.0\n", " \n", " \n", + " Internet\n", + " 27.0\n", + " \n", + " \n", " Mortality\n", " 14.0\n", " \n", @@ -10921,11 +11132,12 @@ "Equality 14.0\n", "Exports 28.0\n", "Health 9.0\n", + "Internet 27.0\n", "Mortality 14.0\n", "Principal 23.0" ] }, - "execution_count": 10, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -10940,30 +11152,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['A&D',\n", - " 'Agriculture',\n", - " 'Demography',\n", - " 'Economy',\n", - " 'Employment',\n", - " 'Environment',\n", - " 'Equality',\n", - " 'Exports',\n", - " 'Health',\n", - " 'Mortality',\n", - " 'Principal']" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "grouplist=minprimary.index.to_list()" ] @@ -10982,249 +11173,19 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "
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IndicatorR^2 SpearmanBehaviourCountryMovedTypeContinentNumber of times repeatedGroupLevelMin
0Adolescent fertility rate (births per 1,000 wo...0.817804NegativeDEU1Does not applyEurope22Demographysecondary24.0
1Adolescent fertility rate (births per 1,000 wo...0.759333NegativeSWE3Does not applyEurope22Demographysecondary24.0
2Adolescent fertility rate (births per 1,000 wo...0.936963NegativeGBR13Does not applyEurope22Demographysecondary24.0
3Adolescent fertility rate (births per 1,000 wo...0.786708NegativeHRV8Does not applyEurope22Demographysecondary24.0
4Adolescent fertility rate (births per 1,000 wo...0.924056NegativePOL21Does not applyEurope22Demographysecondary24.0
....................................
4561Crop production index (2014-2016 = 100)0.851083PositiveCOL8Does not applyLatam21Agriculturesecondary10.0
4562Crop production index (2014-2016 = 100)0.882284PositiveCHLDoes not applyCuadraticLatam21Agriculturesecondary10.0
4563Crop production index (2014-2016 = 100)0.967446PositiveCRIDoes not applyCubicLatam21Agriculturesecondary10.0
4564Crop production index (2014-2016 = 100)0.845314PositiveUSADoes not applyLinearPair21Agriculturesecondary10.0
4565Crop production index (2014-2016 = 100)0.998717PositiveCHNDoes not applyCubicPair21Agriculturesecondary10.0
\n", - "

4566 rows × 11 columns

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" - ], - "text/plain": [ - " Indicator R^2 Spearman \\\n", - "0 Adolescent fertility rate (births per 1,000 wo... 0.817804 \n", - "1 Adolescent fertility rate (births per 1,000 wo... 0.759333 \n", - "2 Adolescent fertility rate (births per 1,000 wo... 0.936963 \n", - "3 Adolescent fertility rate (births per 1,000 wo... 0.786708 \n", - "4 Adolescent fertility rate (births per 1,000 wo... 0.924056 \n", - "... ... ... \n", - "4561 Crop production index (2014-2016 = 100) 0.851083 \n", - "4562 Crop production index (2014-2016 = 100) 0.882284 \n", - "4563 Crop production index (2014-2016 = 100) 0.967446 \n", - "4564 Crop production index (2014-2016 = 100) 0.845314 \n", - "4565 Crop production index (2014-2016 = 100) 0.998717 \n", - "\n", - " Behaviour Country Moved Type Continent \\\n", - "0 Negative DEU 1 Does not apply Europe \n", - "1 Negative SWE 3 Does not apply Europe \n", - "2 Negative GBR 13 Does not apply Europe \n", - "3 Negative HRV 8 Does not apply Europe \n", - "4 Negative POL 21 Does not apply Europe \n", - "... ... ... ... ... ... \n", - "4561 Positive COL 8 Does not apply Latam \n", - "4562 Positive CHL Does not apply Cuadratic Latam \n", - "4563 Positive CRI Does not apply Cubic Latam \n", - "4564 Positive USA Does not apply Linear Pair \n", - "4565 Positive CHN Does not apply Cubic Pair \n", - "\n", - " Number of times repeated Group Level Min \n", - "0 22 Demography secondary 24.0 \n", - "1 22 Demography secondary 24.0 \n", - "2 22 Demography secondary 24.0 \n", - "3 22 Demography secondary 24.0 \n", - "4 22 Demography secondary 24.0 \n", - "... ... ... ... ... \n", - "4561 21 Agriculture secondary 10.0 \n", - "4562 21 Agriculture secondary 10.0 \n", - "4563 21 Agriculture secondary 10.0 \n", - "4564 21 Agriculture secondary 10.0 \n", - "4565 21 Agriculture secondary 10.0 \n", - "\n", - "[4566 rows x 11 columns]" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" + "ename": "NameError", + "evalue": "name 'fianlcount' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\Users\\amarchve\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 164\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 15\u001b[0m finalcount[\u001b[39m'\u001b[39m\u001b[39m% o\u001b[39;00m\u001b[39mf count (Global)\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m=\u001b[39mfinalcount[\u001b[39m'\u001b[39m\u001b[39mSecondary Count\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m/\u001b[39mfinalcount[\u001b[39m'\u001b[39m\u001b[39mGlobal Count\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m*\u001b[39m\u001b[39m100\u001b[39m\n\u001b[0;32m 16\u001b[0m finalcount\u001b[39m.\u001b[39mdrop(columns\u001b[39m=\u001b[39m[\u001b[39m'\u001b[39m\u001b[39mGlobal Count\u001b[39m\u001b[39m'\u001b[39m,\u001b[39m'\u001b[39m\u001b[39mSecondary Count\u001b[39m\u001b[39m'\u001b[39m],inplace\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m)\n\u001b[1;32m---> 17\u001b[0m fianlcount\n", + "\u001b[1;31mNameError\u001b[0m: name 'fianlcount' is not defined" + ] } ], "source": [ @@ -11256,7 +11217,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, "outputs": [ { From 73992ee9b3d904fcb409a6a1b591d4caec0039f7 Mon Sep 17 00:00:00 2001 From: amarchve Date: Wed, 3 Aug 2022 09:27:57 +0200 Subject: [PATCH 64/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 4380 +++++++++++++++++++++++++++++++++------ 1 file changed, 3755 insertions(+), 625 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 51a0e39..0645825 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -10287,7 +10287,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 84, "metadata": {}, "outputs": [ { @@ -10318,9 +10318,9 @@ " Moved\n", " Type\n", " Continent\n", - " Number of times repeated\n", " Group\n", " Level\n", + " Number of times repeated\n", " \n", " \n", " \n", @@ -10333,9 +10333,9 @@ " 1\n", " Does not apply\n", " Europe\n", - " 22\n", " Demography\n", " secondary\n", + " 40\n", " \n", " \n", " 1\n", @@ -10346,9 +10346,9 @@ " 3\n", " Does not apply\n", " Europe\n", - " 22\n", " Demography\n", " secondary\n", + " 40\n", " \n", " \n", " 2\n", @@ -10359,9 +10359,9 @@ " 13\n", " Does not apply\n", " Europe\n", - " 22\n", " Demography\n", " secondary\n", + " 40\n", " \n", " \n", " 3\n", @@ -10372,9 +10372,9 @@ " 8\n", " Does not apply\n", " Europe\n", - " 22\n", " Demography\n", " secondary\n", + " 40\n", " \n", " \n", " 4\n", @@ -10385,9 +10385,9 @@ " 21\n", " Does not apply\n", " Europe\n", - " 22\n", " Demography\n", " secondary\n", + " 40\n", " \n", " \n", " ...\n", @@ -10411,9 +10411,9 @@ " 5\n", " Does not apply\n", " Latam\n", - " 11\n", " Demoraphy\n", " secondary\n", + " 21\n", " \n", " \n", " 6641\n", @@ -10424,9 +10424,9 @@ " 1\n", " Does not apply\n", " Latam\n", - " 11\n", " Demoraphy\n", " secondary\n", + " 21\n", " \n", " \n", " 6642\n", @@ -10437,9 +10437,9 @@ " 2\n", " Does not apply\n", " Latam\n", - " 11\n", " Demoraphy\n", " secondary\n", + " 21\n", " \n", " \n", " 6643\n", @@ -10450,9 +10450,9 @@ " 21\n", " Does not apply\n", " Latam\n", - " 11\n", " Demoraphy\n", " secondary\n", + " 21\n", " \n", " \n", " 6644\n", @@ -10463,9 +10463,9 @@ " 13\n", " Does not apply\n", " Latam\n", - " 11\n", " Demoraphy\n", " secondary\n", + " 21\n", " \n", " \n", "\n", @@ -10486,36 +10486,36 @@ "6643 Completeness of birth registration (%) 0.963636 \n", "6644 Completeness of birth registration (%) 0.789474 \n", "\n", - " Behaviour Country Moved Type Continent \\\n", - "0 Negative DEU 1 Does not apply Europe \n", - "1 Negative SWE 3 Does not apply Europe \n", - "2 Negative GBR 13 Does not apply Europe \n", - "3 Negative HRV 8 Does not apply Europe \n", - "4 Negative POL 21 Does not apply Europe \n", - "... ... ... ... ... ... \n", - "6640 Positive PER 5 Does not apply Latam \n", - "6641 Negative VEN 1 Does not apply Latam \n", - "6642 Positive COL 2 Does not apply Latam \n", - "6643 Positive PAN 21 Does not apply Latam \n", - "6644 Positive CRI 13 Does not apply Latam \n", - "\n", - " Number of times repeated Group Level \n", - "0 22 Demography secondary \n", - 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"execution_count": 71, + "execution_count": 84, "metadata": {}, "output_type": "execute_result" } @@ -10532,150 +10532,21 @@ "final['Continent']=final['Country'].map(all_countries)\n", "final=final.loc[final.loc[:, 'Indicator'].isin(np.array(final_indicators_list))]\n", "final=pd.merge(final,categories, left_on='Indicator',right_on='Indicator')\n", - "final" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Here are some examples:\n", - "\n", - "\n", - "\n", + "#Needed imports\n", + "import matplotlib.pyplot as plt\n", "\n", - "\n", + "import seaborn as sns\n", "\n", + "import plotly.express as px\n", "\n", - "Therefore, we have to be carefull with our results because correlation does not imply causation, it may have happened by chance that both variables are really similar.\n", - "So, after some thought and experimenting, we have developed a method that will allow us to find out if the correlation has happened by chance or if there is really a correlation." + "import plotly.graph_objects as go\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "This method, consists of the following:\n", - "\n", - "\n", - "Firstly we have classified the indicators by a group, which can be one of the following: *A&D*, *Agriculture*, *Demography*, *Economy*, *Employment*, *Environment*, *Equality*, *Exports*, *Health*, *Mortality* or *Principal*. Moreover inside each group we have also assigned each varible a level, *primary* or *secondary*, depending on their level of relevance. For example we have consider more relevant the *Population in the largest city* over the *Rural population*, thus the first will be *primary* and the latter *secondary*, while both are part of the *Demography* group. \n", - "\n", - "With this set, we can expose our hypothesis:\n", - "\n", - "\"It is assumed that the correlation in the primary indicators can be caused by randomness, however if this correlation also appears in the secondary indicators for at least X% of the countries that appears in the primaries (Pareto's rule), we can suppose that there is no randomness affecting each group. Furthermore, the first assumption has to happen in Y% of the secondary indicators to avoid any fortuity.\" \n", - "\n", - "This hypothesis can be used in a global level, all the countries, or in the different regions. \n", - "\n", - "For example if, X and Y =80% a primary indicator is repeated 20 times the secondary indicators must have repeated 18 times. And if there are 10 secondary indicators, it has to happen for, at least, 8 indicators.\n", - "\n", - "Finally, we will finish with two possible errors of 20%, which combined (20%*20%), leaves us with a 4% of margin of error, which is lower than the wildly spread of 5%.\n" + "Now that we’ve loaded the data, we can start right away to create widgets. These widgets are essentials to add interactivity to our visualizations." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 80, "metadata": {}, "outputs": [ { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a1a4335323f941a59572bbb5f72dfed8", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "FloatSlider(value=0.8, continuous_update=False, description='% of primary indicators:', max=1.0, step=0.05)" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "b4e98cc498ce47ae96cfa59b2f238cb5", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "FloatSlider(value=0.8, continuous_update=False, description='% of secondary indicators:', max=1.0, step=0.05)" - ] + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "alignmentgroup": "True", + "bingroup": "x", + "histfunc": "count", + "hovertemplate": "Group=Principal
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"Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)" + ], + [ + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)" + ], + [ + "Employment in industry (% of total employment) (modeled ILO estimate)", + "Employment in industry (% of total employment) (modeled ILO estimate)", + "Employment in industry (% of total employment) (modeled ILO estimate)", + "Employment in industry (% of total employment) (modeled ILO estimate)", + "Employment in industry (% of total employment) (modeled ILO estimate)" + ], + [ + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city" + ], + [ + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)" + ] + ] + } + ], + "label": "Asia", + "method": "update" + }, + { + "args": [ + { + "x": [ + [ + "GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)" + ], + [ + "Agricultural land (% of land area)", + "Agricultural land (% of land area)", + "Agricultural land (% of land area)", + "Agricultural land (% of land area)" + ], + [ + "Number of deaths ages 5-9 years", + "Number of deaths ages 5-9 years", + "Number of deaths ages 5-9 years", + "Number of deaths ages 5-9 years", + "Number of deaths ages 5-9 years", + "Number of deaths ages 5-9 years", + "Number of deaths ages 5-9 years", + "Number of deaths ages 5-9 years", + "Number of infant deaths", + "Number of infant deaths", + "Number of infant deaths", + "Number of infant deaths", + "Number of infant deaths", + "Number of infant deaths", + "Number of infant deaths", + "Number of infant deaths", + "Suicide mortality rate (per 100,000 population)", + "Suicide mortality rate (per 100,000 population)", + "Suicide mortality rate (per 100,000 population)", + "Suicide mortality rate (per 100,000 population)", + "Suicide mortality rate (per 100,000 population)", + "Suicide mortality rate (per 100,000 population)" + ], + [ + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "GNI (current US$)", + "GNI (current US$)", + "GNI (current US$)", + "GNI (current US$)", + "GNI (current US$)", + "GNI (current US$)", + "GNI (current US$)", + "GNI (current US$)", + "GNI (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Consumer price index (2010 = 100)", + "Consumer price index (2010 = 100)", + "Consumer price index (2010 = 100)", + "Consumer price index (2010 = 100)", + "Consumer price index (2010 = 100)", + "Consumer price index (2010 = 100)", + "Consumer price index (2010 = 100)", + "Consumer price index (2010 = 100)" + ], + [ + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Prevalence of current tobacco use (% of adults)", + "Prevalence of current tobacco use (% of adults)", + "Prevalence of current tobacco use (% of adults)", + "Prevalence of current tobacco use (% of adults)", + "Prevalence of current tobacco use (% of adults)", + "Prevalence of current tobacco use (% of adults)", + "Prevalence of current tobacco use (% of adults)", + "Prevalence of current tobacco use (% of adults)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)" + ], + [ + "Export value index (2000 = 100)", + "Export value index (2000 = 100)", + "Export value index (2000 = 100)", + "Export value index (2000 = 100)", + "Export value index (2000 = 100)", + "Export value index (2000 = 100)", + "Export value index (2000 = 100)", + "Export value index (2000 = 100)" + ], + [ + "CO2 emissions (kg per PPP $ of GDP)", + "CO2 emissions (kg per PPP $ of GDP)", + "CO2 emissions (kg per PPP $ of GDP)", + "CO2 emissions (kg per PPP $ of GDP)", + "CO2 emissions (kg per PPP $ of GDP)", + "CO2 emissions (kg per PPP $ of GDP)", + "CO2 emissions (kg per PPP $ of GDP)", + "CO2 emissions (kg per PPP $ of GDP)", + "Renewable internal freshwater resources per capita (cubic meters)", + "Renewable internal freshwater resources per capita (cubic meters)", + "Renewable internal freshwater resources per capita (cubic meters)", + "Renewable internal freshwater resources per capita (cubic meters)", + "Renewable internal freshwater resources per capita (cubic meters)", + "Renewable internal freshwater resources per capita (cubic meters)", + "Renewable internal freshwater resources per capita (cubic meters)", + "Renewable internal freshwater resources per capita (cubic meters)", + "Renewable internal freshwater resources per capita (cubic meters)", + "Access to electricity (% of population)", + "Access to electricity (% of population)", + "Access to electricity (% of population)", + "Access to electricity (% of population)", + "Access to electricity (% of population)", + "Access to electricity (% of population)", + "Access to electricity (% of population)" + ], + [ + "Ratio of female to male labor force participation rate (%) (national estimate)", + "Ratio of female to male labor force participation rate (%) (national estimate)", + "Ratio of female to male labor force participation rate (%) (national estimate)", + "Ratio of female to male labor force participation rate (%) (national estimate)", + "Ratio of female to male labor force participation rate (%) (national estimate)", + "Ratio of female to male labor force participation rate (%) (national estimate)", + "Ratio of female to male labor force participation rate (%) (national estimate)", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)" + ], + [ + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)" + ], + [ + "Employment in industry (% of total employment) (modeled ILO estimate)", + "Employment in industry (% of total employment) (modeled ILO estimate)", + "Employment in industry (% of total employment) (modeled ILO estimate)", + "Employment in industry (% of total employment) (modeled ILO estimate)" + ], + [ + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city" + ], + [ + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)" + ] + ] + } + ], + "label": "Latam", + "method": "update" + }, + { + "args": [ + { + "x": [ + [ + "GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)" + ], + [ + "Agricultural land (% of land area)", + "Agricultural land (% of land area)" + ], + [ + "Number of deaths ages 5-9 years", + "Number of deaths ages 5-9 years", + "Number of infant deaths", + "Number of infant deaths", + "Suicide mortality rate (per 100,000 population)", + "Suicide mortality rate (per 100,000 population)" + ], + [ + "Gross value added at basic prices (GVA) (current US$)", + "GNI (current US$)", + "GNI (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Consumer price index (2010 = 100)", + "Consumer price index (2010 = 100)" + ], + [ + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Prevalence of current tobacco use (% of adults)", + "Prevalence of current tobacco use (% of adults)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)" + ], + [ + "Export value index (2000 = 100)", + "Export value index (2000 = 100)" + ], + [ + "CO2 emissions (kg per PPP $ of GDP)", + "CO2 emissions (kg per PPP $ of GDP)", + "Renewable internal freshwater resources per capita (cubic meters)", + "Renewable internal freshwater resources per capita (cubic meters)", + "Access to electricity (% of population)" + ], + [ + "Ratio of female to male labor force participation rate (%) (national estimate)", + "Ratio of female to male labor force participation rate (%) (national estimate)", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)" + ], + [ + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)" + ], + [ + "Employment in industry (% of total employment) (modeled ILO estimate)", + "Employment in industry (% of total employment) (modeled ILO estimate)" + ], + [ + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city", + "Population in largest city" + ], + [ + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)" + ] + ] + } + ], + "label": "Pair", + "method": "update" + } + ], + "direction": "down", + "showactive": true, + "type": "dropdown" + } + ], + "xaxis": { + "anchor": "y", + "categoryorder": "total descending", + "domain": [ + 0, + 1 + ], + "title": { + "text": "Indicator" + } + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0, + 1 + ], + "title": { + "text": "count" + } + } + } + } }, "metadata": {}, "output_type": "display_data" } ], "source": [ - "limita=widgets.FloatSlider( value=0.8, min=0, max=1.0, step=0.05, description='% of primary indicators:', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", - "limitb=widgets.FloatSlider( value=0.8, min=0, max=1.0, step=0.05, description='% of secondary indicators:', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", - "display(limita,limitb)" + "#COUNT HISTOGRAM: Graph for seeing the frequency of the relevant primary indicators for each region.\n", + "selected_primary=final.loc[final['Level']=='primary']\n", + "selected_primary=selected_primary.loc[selected_primary['Number of times repeated']>=11]\n", + "\n", + "continents=list(selected_primary['Continent'].unique())\n", + "\n", + "fig=px.histogram(selected_primary,x='Indicator',histfunc=\"count\",color='Group',text_auto=True,title=\"Indicators frequency by continents\").update_xaxes(categoryorder=\"total descending\")\n", + "\n", + "buttons = []\n", + "for continent in continents:\n", + " selected_primary_c = selected_primary.loc[(selected_primary['Continent'] == continent)]\n", + " fig_continent = px.histogram(selected_primary_c, x='Indicator', color='Group').update_xaxes(categoryorder=\"total descending\")\n", + " buttons.append(\n", + " dict(\n", + " label=continent,\n", + " method=\"update\",\n", + " args=[\n", + " {\n", + " \"x\": [trace['x'] for trace in fig_continent._data],\n", + " }\n", + " ]\n", + " )\n", + " )\n", + "\n", + "fig.update_layout(\n", + " updatemenus=[\n", + " dict(\n", + " type=\"dropdown\",\n", + " direction=\"down\",\n", + " showactive=True,\n", + " buttons=buttons\n", + " )\n", + " ]\n", + ")\n", + "\n", + "fig.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The margin of error in this combination is: 3.9999999999999982\n" - ] - } - ], + "outputs": [], "source": [ - "a=(1-limita.value)*(1-limitb.value)*100\n", - "print('The margin of error in this combination is:',a)" + "#TREEMAP: Graph for seeing the correlation of each indicator in each country.\n", + "#To resolve args[], but it works.\n", + "\n", + "fig2=px.treemap(selected_primary,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu')\n", + "\n", + "indics=list(selected_primary['Indicator'].unique())\n", + "buttons = []\n", + "for indic in indics:\n", + " selected_primary_i = selected_primary.loc[(selected_primary['Indicator'] == indic)]\n", + " fig_indicator = px.treemap(selected_primary_i,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman')\n", + " buttons.append(\n", + " dict(\n", + " label=indic,\n", + " method=\"update\",\n", + " args=[]\n", + " )\n", + " )\n", + "\n", + "fig2.update_layout(\n", + " updatemenus=[\n", + " dict(\n", + " type=\"dropdown\",\n", + " direction=\"down\",\n", + " showactive=True,\n", + " buttons=buttons\n", + " )\n", + " ]\n", + ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Once we have selected both percentages and we agree with the margin of error, we can proceed to put into action our method. Firstly, we filter the primary indicators and get the minimun of times thatthe secondary have to be repeated." + "DRAFT GRAPHS" ] }, { @@ -11041,35 +14049,223 @@ "outputs": [ { "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + "application/vnd.jupyter.widget-view+json": { + "model_id": "04733323bb08436ab57eb3c808eb6106", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(SelectMultiple(description='Indicator', index=(3,), layout=Layout(height='80px', width='…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "unique_tri = selected_primary['Indicator'].unique()\n", + "tri = widgets.SelectMultiple(\n", + " options = unique_tri.tolist(),\n", + " value = ['Exports of goods and services (current US$)'],\n", + " description='Indicator',\n", + " disabled=False,\n", + " layout = Layout(width='50%', height='80px')\n", + ")\n", + "\n", + "def graf1(tri):\n", + " dat=selected_primary.loc[selected_primary.loc[:, 'Indicator'].isin(np.array(tri))]\n", + " a=px.choropleth(dat, locations=\"Country\", locationmode='ISO-3', \n", + " color=\"R^2 Spearman\", hover_name=\"Country\",hover_data = [dat.Type, dat.Behaviour,dat.Moved,dat.Group],projection=\"natural earth\",\n", + " color_continuous_scale='Reds', width=700, height=500, title= dat.Indicator.unique().tolist()[0])\n", + " print(tri)\n", + " a.show()\n", + "widgets.interactive(graf1, tri=tri)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To wrap up, we can create the second widget that is exactly the same as the previous multiple selection widget. The purpose of this widget is to enable us to choose which Continent we want to visualize. Below is the code implementation of this widget." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'final_join' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\Users\\amarchve\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 162\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m unique_tric1\u001b[39m=\u001b[39mfinal_join[\u001b[39m'\u001b[39m\u001b[39mContinent\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39munique()\n\u001b[0;32m 2\u001b[0m unique_tric2\u001b[39m=\u001b[39mfinal_join[\u001b[39m'\u001b[39m\u001b[39mGroup\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39munique()\n\u001b[0;32m 4\u001b[0m tric1\u001b[39m=\u001b[39mwidgets\u001b[39m.\u001b[39mSelectMultiple(options\u001b[39m=\u001b[39munique_tric1\u001b[39m.\u001b[39mtolist(),value\u001b[39m=\u001b[39m[\u001b[39m'\u001b[39m\u001b[39mEurope\u001b[39m\u001b[39m'\u001b[39m],description\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mContinent\u001b[39m\u001b[39m'\u001b[39m,disabled\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m,layout\u001b[39m=\u001b[39mLayout(width\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m50\u001b[39m\u001b[39m%\u001b[39m\u001b[39m'\u001b[39m,height\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m80px\u001b[39m\u001b[39m'\u001b[39m))\n", + "\u001b[1;31mNameError\u001b[0m: name 'final_join' is not defined" + ] + } + ], + "source": [ + "unique_tric1=final_join['Continent'].unique()\n", + "unique_tric2=final_join['Group'].unique()\n", + "\n", + "tric1=widgets.SelectMultiple(options=unique_tric1.tolist(),value=['Europe'],description='Continent',disabled=False,layout=Layout(width='50%',height='80px'))\n", + "tric2=widgets.SelectMultiple(options=unique_tric2.tolist(),value=['Exports'],description='Group',disabled=False,layout=Layout(width='50%',height='80px'))\n", + "\n", + "def graph1(tric1,tric2):\n", + " dat=final_join.loc[final_join.loc[:,'Continent'].isin(np.array(tric1))]\n", + " dat=dat.loc[dat.loc[:,'Group'].isin(np.array(tric2))]\n", + " \n", + " fig=sns.countplot(data=dat, y=\"Indicator\", hue=\"Level\")\n", + " fig\n", + "widgets.interactive(graph1,tric1=tric1,tric2=tric2)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Spurious correlations" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "However, there is an interesting phenomenon, in some cases there are correlations that have a high coefficient and also an adequate graphics, but they do not make sense in the analysis, these are called **spurious correlations**. Here are some examples:\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Therefore, we have to be carefull with our results because correlation does not imply causation, it may have happened by chance that both variables are really similar.\n", + "So, after some thought and experimenting, we have developed a method that will allow us to find out if the correlation has happened by chance or if there is really a correlation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This method, consists of the following:\n", + "\n", + "\n", + "Firstly we have classified the indicators by a group, which can be one of the following: *A&D*, *Agriculture*, *Demography*, *Economy*, *Employment*, *Environment*, *Equality*, *Exports*, *Health*, *Mortality* or *Principal*. Moreover inside each group we have also assigned each varible a level, *primary* or *secondary*, depending on their level of relevance. For example we have consider more relevant the *Population in the largest city* over the *Rural population*, thus the first will be *primary* and the latter *secondary*, while both are part of the *Demography* group. \n", + "\n", + "With this set, we can expose our hypothesis:\n", + "\n", + "\"It is assumed that the correlation in the primary indicators can be caused by randomness, however if this correlation also appears in the secondary indicators for at least X% of the countries that appears in the primaries (Pareto's rule), we can suppose that there is no randomness affecting each group. Furthermore, the first assumption has to happen in Y% of the secondary indicators to avoid any fortuity.\" \n", + "\n", + "This hypothesis can be used in a global level, all the countries, or in the different regions. \n", + "\n", + "For example if, X and Y =80% a primary indicator is repeated 20 times the secondary indicators must have repeated 18 times. And if there are 10 secondary indicators, it has to happen for, at least, 8 indicators.\n", + "\n", + "Finally, we will finish with two possible errors of 20%, which combined (20%*20%), leaves us with a 4% of margin of error, which is lower than the wildly spread of 5%.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e154ff7a4c684bebb8a1f62906fac3fe", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.8, continuous_update=False, description='% of primary indicators:', max=1.0, step=0.05)" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1436ccab37804d3e82fbc5b3bd07c8f9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.8, continuous_update=False, description='% of secondary indicators:', max=1.0, step=0.05)" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "limita=widgets.FloatSlider( value=0.8, min=0, max=1.0, step=0.05, description='% of primary indicators:', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", + "limitb=widgets.FloatSlider( value=0.8, min=0, max=1.0, step=0.05, description='% of secondary indicators:', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", + "display(limita,limitb)" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The margin of error in this combination is: 3.9999999999999982\n" + ] + } + ], + "source": [ + "a=(1-limita.value)*(1-limitb.value)*100\n", + "print('The margin of error in this combination is:',a)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Once we have selected both percentages and we agree with the margin of error, we can proceed to put into action our method. Firstly, we filter the primary indicators and get the minimun of times thatthe secondary have to be repeated." + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Does it have some global casuallity implied?% of count (Global)
Group
AgricultureNo100.000000
DemographyNo100.000000
EconomyYes71.039604
EmploymentNo100.000000
EnvironmentNo100.000000
EqualityNo100.000000
ExportsNo82.379863
HealthNo100.000000
InternetYes37.190083
MortalityNo100.000000
PrincipalNo100.000000
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" + ], + "text/plain": [ + " Does it have some global casuallity implied? % of count (Global)\n", + "Group \n", + "Agriculture No 100.000000\n", + "Demography No 100.000000\n", + "Economy Yes 71.039604\n", + "Employment No 100.000000\n", + "Environment No 100.000000\n", + "Equality No 100.000000\n", + "Exports No 82.379863\n", + "Health No 100.000000\n", + "Internet Yes 37.190083\n", + "Mortality No 100.000000\n", + "Principal No 100.000000" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ @@ -11205,7 +14500,7 @@ "finalcount['Does it have some global casuallity implied?']=np.where(finalcount['Secondary Count']/finalcount['Global Count']>limitb.value,'No', 'Yes')\n", "finalcount['% of count (Global)']=finalcount['Secondary Count']/finalcount['Global Count']*100\n", "finalcount.drop(columns=['Global Count','Secondary Count'],inplace=True)\n", - "fianlcount" + "finalcount" ] }, { @@ -11217,7 +14512,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 91, "metadata": {}, "outputs": [ { @@ -11300,44 +14595,82 @@ " \n", " \n", " Demography\n", - " Yes\n", - " 35.976789\n", - " Yes\n", - " 34.117647\n", - " Yes\n", - " 33.962264\n", - " Yes\n", - " 35.294118\n", - " Yes\n", - " 38.461538\n", - " Yes\n", - " 39.682540\n", - " Yes\n", - " 37.500000\n", - " Yes\n", - " 35.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", " \n", " \n", " Economy\n", " Yes\n", - " 50.190404\n", + " 71.039604\n", " Yes\n", - " 60.538117\n", + " 75.799087\n", " Yes\n", - " 48.993289\n", + " 71.812081\n", " Yes\n", - " 43.600000\n", + " 72.794118\n", " Yes\n", - " 49.206349\n", + " 70.348837\n", " Yes\n", - " 52.941176\n", + " 66.968326\n", " Yes\n", - " 47.422680\n", + " 70.542636\n", " Yes\n", - " 49.110320\n", + " 66.666667\n", + " \n", + " \n", + " Employment\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " \n", + " \n", + " Environment\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", + " No\n", + " 100.000000\n", " \n", " \n", - " Employment\n", + " Equality\n", " No\n", " 100.000000\n", " No\n", @@ -11356,61 +14689,23 @@ " 100.000000\n", " \n", " \n", - " Environment\n", - " Yes\n", - " 73.529412\n", - " Yes\n", - " 62.184874\n", + " Exports\n", " No\n", - " 81.333333\n", - " Yes\n", - " 72.727273\n", + " 82.379863\n", " Yes\n", - " 65.789474\n", - " Yes\n", - " 76.543210\n", + " 77.142857\n", " No\n", - " 81.081081\n", - " Yes\n", - " 76.923077\n", - " \n", - " \n", - " Equality\n", - " Yes\n", - " 58.928571\n", - " Yes\n", - " 77.777778\n", - " Yes\n", - " 55.555556\n", - " Yes\n", - " 50.000000\n", - " Yes\n", - " 33.333333\n", - " Yes\n", - " 75.000000\n", - " Yes\n", - " 50.000000\n", - " Yes\n", - " 63.636364\n", - " \n", - " \n", - " Exports\n", - " Yes\n", - " 64.303178\n", - " Yes\n", - " 64.583333\n", - " Yes\n", - " 74.285714\n", - " Yes\n", - " 65.333333\n", - " Yes\n", - " 63.636364\n", - " Yes\n", - " 59.259259\n", - " Yes\n", - " 63.829787\n", - " Yes\n", - " 62.500000\n", + " 80.701754\n", + " No\n", + " 86.842105\n", + " No\n", + " 84.000000\n", + " No\n", + " 86.075949\n", + " No\n", + " 83.333333\n", + " No\n", + " 83.333333\n", " \n", " \n", " Health\n", @@ -11432,23 +14727,42 @@ " 100.000000\n", " \n", " \n", + " Internet\n", + " Yes\n", + " 37.190083\n", + " Yes\n", + " 47.619048\n", + " Yes\n", + " 35.294118\n", + " Yes\n", + " 26.315789\n", + " Yes\n", + " 42.857143\n", + " Yes\n", + " 36.842105\n", + " Yes\n", + " 37.500000\n", + " Yes\n", + " 28.571429\n", + " \n", + " \n", " Mortality\n", " No\n", - " 92.337165\n", + " 100.000000\n", " No\n", - " 96.296296\n", + " 100.000000\n", " No\n", - " 90.476190\n", + " 100.000000\n", " No\n", - " 90.217391\n", + " 100.000000\n", " No\n", - " 88.461538\n", + " 100.000000\n", " No\n", - " 92.753623\n", + " 100.000000\n", " No\n", - " 92.753623\n", + " 100.000000\n", " No\n", - " 91.578947\n", + " 100.000000\n", " \n", " \n", " Principal\n", @@ -11477,174 +14791,187 @@ " Does it have some global casuallity implied? % of count (Global) \\\n", "Group \n", "Agriculture No 100.000000 \n", - "Demography Yes 35.976789 \n", - "Economy Yes 50.190404 \n", + "Demography No 100.000000 \n", + "Economy Yes 71.039604 \n", "Employment No 100.000000 \n", - "Environment Yes 73.529412 \n", - "Equality Yes 58.928571 \n", - "Exports Yes 64.303178 \n", + "Environment No 100.000000 \n", + "Equality No 100.000000 \n", + "Exports No 82.379863 \n", "Health No 100.000000 \n", - "Mortality No 92.337165 \n", + "Internet Yes 37.190083 \n", + "Mortality No 100.000000 \n", "Principal No 100.000000 \n", "\n", " Does it have some European casuallity implied? \\\n", "Group \n", "Agriculture No \n", - "Demography Yes \n", + "Demography No \n", "Economy Yes \n", "Employment No \n", - "Environment Yes \n", - "Equality Yes \n", + "Environment No \n", + "Equality No \n", "Exports Yes \n", "Health No \n", + "Internet Yes \n", "Mortality No \n", "Principal No \n", "\n", " % of count (European) \\\n", "Group \n", "Agriculture 100.000000 \n", - "Demography 34.117647 \n", - "Economy 60.538117 \n", + "Demography 100.000000 \n", + "Economy 75.799087 \n", "Employment 100.000000 \n", - "Environment 62.184874 \n", - "Equality 77.777778 \n", - "Exports 64.583333 \n", + "Environment 100.000000 \n", + "Equality 100.000000 \n", + "Exports 77.142857 \n", "Health 100.000000 \n", - "Mortality 96.296296 \n", + "Internet 47.619048 \n", + "Mortality 100.000000 \n", "Principal 100.000000 \n", "\n", " Does it have some North African casuallity implied? \\\n", "Group \n", "Agriculture No \n", - "Demography Yes \n", + "Demography No \n", "Economy Yes \n", "Employment No \n", "Environment No \n", - "Equality Yes \n", - "Exports Yes \n", + "Equality No \n", + "Exports No \n", "Health No \n", + "Internet Yes \n", "Mortality No \n", "Principal No \n", "\n", " % of count (North African) \\\n", "Group \n", "Agriculture 100.000000 \n", - "Demography 33.962264 \n", - "Economy 48.993289 \n", + "Demography 100.000000 \n", + "Economy 71.812081 \n", "Employment 100.000000 \n", - "Environment 81.333333 \n", - "Equality 55.555556 \n", - "Exports 74.285714 \n", + "Environment 100.000000 \n", + "Equality 100.000000 \n", + "Exports 80.701754 \n", "Health 100.000000 \n", - "Mortality 90.476190 \n", + "Internet 35.294118 \n", + "Mortality 100.000000 \n", "Principal 100.000000 \n", "\n", " Does it have some Asian casuallity implied? % of count (Asian) \\\n", "Group \n", "Agriculture No 100.000000 \n", - "Demography Yes 35.294118 \n", - "Economy Yes 43.600000 \n", + "Demography No 100.000000 \n", + "Economy Yes 72.794118 \n", "Employment No 100.000000 \n", - "Environment Yes 72.727273 \n", - "Equality Yes 50.000000 \n", - "Exports Yes 65.333333 \n", + "Environment No 100.000000 \n", + "Equality No 100.000000 \n", + "Exports No 86.842105 \n", "Health No 100.000000 \n", - "Mortality No 90.217391 \n", + "Internet Yes 26.315789 \n", + "Mortality No 100.000000 \n", "Principal No 100.000000 \n", "\n", " Does it have some Pair casuallity implied? % of count (Pair) \\\n", "Group \n", "Agriculture No 100.000000 \n", - "Demography Yes 38.461538 \n", - "Economy Yes 49.206349 \n", + "Demography No 100.000000 \n", + "Economy Yes 70.348837 \n", "Employment No 100.000000 \n", - "Environment Yes 65.789474 \n", - "Equality Yes 33.333333 \n", - "Exports Yes 63.636364 \n", + "Environment No 100.000000 \n", + "Equality No 100.000000 \n", + "Exports No 84.000000 \n", "Health No 100.000000 \n", - "Mortality No 88.461538 \n", + "Internet Yes 42.857143 \n", + "Mortality No 100.000000 \n", "Principal No 100.000000 \n", "\n", " Does it have some Persian casuallity implied? \\\n", "Group \n", "Agriculture No \n", - "Demography Yes \n", + "Demography No \n", "Economy Yes \n", "Employment No \n", - "Environment Yes \n", - "Equality Yes \n", - "Exports Yes \n", + "Environment No \n", + "Equality No \n", + "Exports No \n", "Health No \n", + "Internet Yes \n", "Mortality No \n", "Principal No \n", "\n", " % of count (Persian) \\\n", "Group \n", "Agriculture 100.000000 \n", - "Demography 39.682540 \n", - "Economy 52.941176 \n", + "Demography 100.000000 \n", + "Economy 66.968326 \n", "Employment 100.000000 \n", - "Environment 76.543210 \n", - "Equality 75.000000 \n", - "Exports 59.259259 \n", + "Environment 100.000000 \n", + "Equality 100.000000 \n", + "Exports 86.075949 \n", "Health 100.000000 \n", - "Mortality 92.753623 \n", + "Internet 36.842105 \n", + "Mortality 100.000000 \n", "Principal 100.000000 \n", "\n", " Does it have some South African casuallity implied? \\\n", "Group \n", "Agriculture No \n", - "Demography Yes \n", + "Demography No \n", "Economy Yes \n", "Employment No \n", "Environment No \n", - "Equality Yes \n", - "Exports Yes \n", + "Equality No \n", + "Exports No \n", "Health No \n", + "Internet Yes \n", "Mortality No \n", "Principal No \n", "\n", " % of count (South African) \\\n", "Group \n", "Agriculture 100.000000 \n", - "Demography 37.500000 \n", - "Economy 47.422680 \n", + "Demography 100.000000 \n", + "Economy 70.542636 \n", "Employment 100.000000 \n", - "Environment 81.081081 \n", - "Equality 50.000000 \n", - "Exports 63.829787 \n", + "Environment 100.000000 \n", + "Equality 100.000000 \n", + "Exports 83.333333 \n", "Health 100.000000 \n", - "Mortality 92.753623 \n", + "Internet 37.500000 \n", + "Mortality 100.000000 \n", "Principal 100.000000 \n", "\n", " Does it have some Latino-American casuallity implied? \\\n", "Group \n", "Agriculture No \n", - "Demography Yes \n", + "Demography No \n", "Economy Yes \n", "Employment No \n", - "Environment Yes \n", - "Equality Yes \n", - "Exports Yes \n", + "Environment No \n", + "Equality No \n", + "Exports No \n", "Health No \n", + "Internet Yes \n", "Mortality No \n", "Principal No \n", "\n", " % of count (Latino-American) \n", "Group \n", "Agriculture 100.000000 \n", - "Demography 35.000000 \n", - "Economy 49.110320 \n", + "Demography 100.000000 \n", + "Economy 66.666667 \n", "Employment 100.000000 \n", - "Environment 76.923077 \n", - "Equality 63.636364 \n", - "Exports 62.500000 \n", + "Environment 100.000000 \n", + "Equality 100.000000 \n", + "Exports 83.333333 \n", "Health 100.000000 \n", - "Mortality 91.578947 \n", + "Internet 28.571429 \n", + "Mortality 100.000000 \n", "Principal 100.000000 " ] }, - "execution_count": 17, + "execution_count": 91, "metadata": {}, "output_type": "execute_result" } @@ -11688,203 +15015,6 @@ "source": [ "Finally, we can observe into much more detail the differnt regions that we defined before, and for groups that have a **NO**, we do not need to worry about casualities. Meanwhile, for the rest of the groups correlation can still be a great indicator as a basis for decision making, if we carefully analyze the variables and found some sort of real relationship between them. " ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Visualization of results" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Needed imports\n", - "import matplotlib.pyplot as plt\n", - "\n", - "import seaborn as sns\n", - "\n", - "import plotly.express as px\n", - "\n", - "import plotly.graph_objects as go\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now that we’ve loaded the data, we can start right away to create widgets. These widgets are essentials to add interactivity to our visualizations." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#COUNT HISTOGRAM: Graph for seeing the frequency of the relevant primary indicators for each region.\n", - "selected_primary=final.loc[final['Level']=='primary']\n", - "selected_primary=selected_primary.loc[selected_primary['Number of times repeated']>=11]\n", - "\n", - "continents=list(selected_primary['Continent'].unique())\n", - "\n", - "fig=px.histogram(selected_primary,x='Indicator',histfunc=\"count\",color='Group',text_auto=True,title=\"Indicators frequency by continents\").update_xaxes(categoryorder=\"total descending\")\n", - "\n", - "buttons = []\n", - "for continent in continents:\n", - " selected_primary_c = selected_primary.loc[(selected_primary['Continent'] == continent)]\n", - " fig_continent = px.histogram(selected_primary_c, x='Indicator', color='Group').update_xaxes(categoryorder=\"total descending\")\n", - " buttons.append(\n", - " dict(\n", - " label=continent,\n", - " method=\"update\",\n", - " args=[\n", - " {\n", - " \"x\": [trace['x'] for trace in fig_continent._data],\n", - " }\n", - " ]\n", - " )\n", - " )\n", - "\n", - "fig.update_layout(\n", - " updatemenus=[\n", - " dict(\n", - " type=\"dropdown\",\n", - " direction=\"down\",\n", - " showactive=True,\n", - " buttons=buttons\n", - " )\n", - " ]\n", - ")\n", - "\n", - "fig.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#TREEMAP: Graph for seeing the correlation of each indicator in each country.\n", - "#To resolve args[], but it works.\n", - "\n", - "fig2=px.treemap(selected_primary,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu')\n", - "\n", - "indics=list(selected_primary['Indicator'].unique())\n", - "buttons = []\n", - "for indic in indics:\n", - " selected_primary_i = selected_primary.loc[(selected_primary['Indicator'] == indic)]\n", - " fig_indicator = px.treemap(selected_primary_i,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman')\n", - " buttons.append(\n", - " dict(\n", - " label=indic,\n", - " method=\"update\",\n", - " args=[]\n", - " )\n", - " )\n", - "\n", - "fig2.update_layout(\n", - " updatemenus=[\n", - " dict(\n", - " type=\"dropdown\",\n", - " direction=\"down\",\n", - " showactive=True,\n", - " buttons=buttons\n", - " )\n", - " ]\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "DRAFT GRAPHS" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "04733323bb08436ab57eb3c808eb6106", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(SelectMultiple(description='Indicator', index=(3,), layout=Layout(height='80px', width='…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "unique_tri = selected_primary['Indicator'].unique()\n", - "tri = widgets.SelectMultiple(\n", - " options = unique_tri.tolist(),\n", - " value = ['Exports of goods and services (current US$)'],\n", - " description='Indicator',\n", - " disabled=False,\n", - " layout = Layout(width='50%', height='80px')\n", - ")\n", - "\n", - "def graf1(tri):\n", - " dat=selected_primary.loc[selected_primary.loc[:, 'Indicator'].isin(np.array(tri))]\n", - " a=px.choropleth(dat, locations=\"Country\", locationmode='ISO-3', \n", - " color=\"R^2 Spearman\", hover_name=\"Country\",hover_data = [dat.Type, dat.Behaviour,dat.Moved,dat.Group],projection=\"natural earth\",\n", - " color_continuous_scale='Reds', width=700, height=500, title= dat.Indicator.unique().tolist()[0])\n", - " print(tri)\n", - " a.show()\n", - "widgets.interactive(graf1, tri=tri)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To wrap up, we can create the second widget that is exactly the same as the previous multiple selection widget. The purpose of this widget is to enable us to choose which Continent we want to visualize. Below is the code implementation of this widget." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'final_join' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\amarchve\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 162\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m unique_tric1\u001b[39m=\u001b[39mfinal_join[\u001b[39m'\u001b[39m\u001b[39mContinent\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39munique()\n\u001b[0;32m 2\u001b[0m unique_tric2\u001b[39m=\u001b[39mfinal_join[\u001b[39m'\u001b[39m\u001b[39mGroup\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39munique()\n\u001b[0;32m 4\u001b[0m tric1\u001b[39m=\u001b[39mwidgets\u001b[39m.\u001b[39mSelectMultiple(options\u001b[39m=\u001b[39munique_tric1\u001b[39m.\u001b[39mtolist(),value\u001b[39m=\u001b[39m[\u001b[39m'\u001b[39m\u001b[39mEurope\u001b[39m\u001b[39m'\u001b[39m],description\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mContinent\u001b[39m\u001b[39m'\u001b[39m,disabled\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m,layout\u001b[39m=\u001b[39mLayout(width\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m50\u001b[39m\u001b[39m%\u001b[39m\u001b[39m'\u001b[39m,height\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m80px\u001b[39m\u001b[39m'\u001b[39m))\n", - "\u001b[1;31mNameError\u001b[0m: name 'final_join' is not defined" - ] - } - ], - "source": [ - "unique_tric1=final_join['Continent'].unique()\n", - "unique_tric2=final_join['Group'].unique()\n", - "\n", - "tric1=widgets.SelectMultiple(options=unique_tric1.tolist(),value=['Europe'],description='Continent',disabled=False,layout=Layout(width='50%',height='80px'))\n", - "tric2=widgets.SelectMultiple(options=unique_tric2.tolist(),value=['Exports'],description='Group',disabled=False,layout=Layout(width='50%',height='80px'))\n", - "\n", - "def graph1(tric1,tric2):\n", - " dat=final_join.loc[final_join.loc[:,'Continent'].isin(np.array(tric1))]\n", - " dat=dat.loc[dat.loc[:,'Group'].isin(np.array(tric2))]\n", - " \n", - " fig=sns.countplot(data=dat, y=\"Indicator\", hue=\"Level\")\n", - " fig\n", - "widgets.interactive(graph1,tric1=tric1,tric2=tric2)\n" - ] } ], "metadata": { From ac5259690b0e3ffe3ac5676b12455662792f9988 Mon Sep 17 00:00:00 2001 From: Mferna38 <107245420+Mferna38@users.noreply.github.com> Date: Wed, 3 Aug 2022 10:22:38 +0200 Subject: [PATCH 65/86] Updated libraries --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index 9a8858f..b1f0951 100644 --- a/README.md +++ b/README.md @@ -78,10 +78,18 @@ Poetry will take care of: - From `scipy` import `stats` and `shapiro`. Scipy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems. Extends NumPy providing additional tools for array computing and provides specialized data structures, such as sparse matrices and k-dimensional trees. Mainly used for statistical calculations. - The `plotly.express` module (usually imported as px) contains functions that can create entire figures at once, and is referred to as Plotly Express or PX. Plotly Express is a built-in part of the plotly library, and is the recommended starting point for creating most common figures. Every Plotly Express function uses graph objects internally and returns a plotly.graph_objects.Figure instance. Throughout the plotly documentation, you will find the Plotly Express way of building figures at the top of any applicable page, followed by a section on how to use graph objects to build similar figures. Therefore it will allow for interacting graphs. + - `seaborn` is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Used for the correlations matrix. - The `requests` library is the de facto standard for making HTTP requests in Python. It abstracts the complexities of making requests behind a beautiful, simple API so that you can focus on interacting with services and consuming data in your application. It allows for downloading data from the websites. +- The `functools` for higher-order functions: functions that act on or return other functions. + +- The `ipywidgets` for having interactive widgets (sliders, buttons, dropdowns...) with which we can customize and easen the display of our data. + +- `warnings` to avoid warning messages when showing the notebook. + +- `dash` and `itables`: both libraries can be used for making interactive tables designed for viewing, editing, and exploring large datasets in Python. At the begginning, we started with `dash` (which is a scratch in React.js) but as it is rendered with semantic HTML, we looked for an alternative that visualizes inside our notebook, so we found Itables, which have a similar functionality. ## Running on local To start the execution of our code, you can directly run the notebooks on Visual Studio Code opening the files .ipynb, or with the command `poetry run jupyter notebook`. From c3ff33167a3b25bddaf2c49d0a872d1d6ee53e62 Mon Sep 17 00:00:00 2001 From: Mferna38 <107245420+Mferna38@users.noreply.github.com> Date: Wed, 3 Aug 2022 10:24:29 +0200 Subject: [PATCH 66/86] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index b1f0951..7529b59 100644 --- a/README.md +++ b/README.md @@ -83,13 +83,13 @@ Poetry will take care of: - The `requests` library is the de facto standard for making HTTP requests in Python. It abstracts the complexities of making requests behind a beautiful, simple API so that you can focus on interacting with services and consuming data in your application. It allows for downloading data from the websites. -- The `functools` for higher-order functions: functions that act on or return other functions. +- The `functools` is a module for higher-order functions: functions that act on or return other functions. -- The `ipywidgets` for having interactive widgets (sliders, buttons, dropdowns...) with which we can customize and easen the display of our data. +- The `ipywidgets` allows us having interactive widgets (sliders, buttons, dropdowns...) with which we can control and customize the display of our data. - `warnings` to avoid warning messages when showing the notebook. -- `dash` and `itables`: both libraries can be used for making interactive tables designed for viewing, editing, and exploring large datasets in Python. At the begginning, we started with `dash` (which is a scratch in React.js) but as it is rendered with semantic HTML, we looked for an alternative that visualizes inside our notebook, so we found Itables, which have a similar functionality. +- `dash` and `itables`: both libraries can be used for making interactive tables designed for viewing, editing, and exploring large datasets in Python. At the begginning, we started with `dash` (which is a scratch in React.js) but as it is rendered with semantic HTML, we looked for an alternative that visualizes inside our notebook, so we found `itables`, which have a similar functionality. ## Running on local To start the execution of our code, you can directly run the notebooks on Visual Studio Code opening the files .ipynb, or with the command `poetry run jupyter notebook`. From a39ddd1c8d3e5c23bf5f244656fe49782a9a83f8 Mon Sep 17 00:00:00 2001 From: amarchve Date: Wed, 3 Aug 2022 10:27:35 +0200 Subject: [PATCH 67/86] Doc --- WDI-Complete code.ipynb | 35 ++++++++++++++++++++++++++++++++--- 1 file changed, 32 insertions(+), 3 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 0645825..55fb935 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -6378,7 +6378,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### CATEGORISATION OF VARIABLES FOR A DEEPER STUDY" + "# Categorization of variables" ] }, { @@ -8993,7 +8993,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### CORRELATION STUDY" + "# Correlation study" ] }, { @@ -9047,7 +9047,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "In the following cell, we have defined a function that will allow us to calculate the different posibilities of relations: cuadratic, cubic and logaritmic." + "The correlation between two variables does not always need to be a linear one, since data of these variables can follow a different distribution that better adjusts. Therefore, we have computed four types (linear, quadratic, cubic and logarithmic) for each indicator in each country and we chose the one with the highest correlation. In the following cell, we have defined a function that will allow us to calculate the different posibilities of relations: cuadratic, cubic and logaritmic." ] }, { @@ -10544,6 +10544,14 @@ "final" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The former table final collects the indicators that have shown a high correlation with the GDP (according to the criteria established, see above). It provides detail of each case specifying the numerical value of the correlation (R^2 Spearman); the alignment with the GDP (Behaviour); the country and continent where it applies; if there is any temporal displacement; the group of interest it belongs to and the number of times repeated.\n", + "Moreover, if we focus over the column of \"Number of times repeated\". It reflects the number of times a high correlation of each indicator is repeated over the whole sample (aggregating all countries)." + ] + }, { "cell_type": "code", "execution_count": 85, @@ -10612,6 +10620,13 @@ "final_Behaviour" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the matrix above, we can observe which is the most common type of behaviour." + ] + }, { "cell_type": "code", "execution_count": 76, @@ -10693,6 +10708,13 @@ "final_type" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the table above, we can observe which is the most common type of relationship." + ] + }, { "cell_type": "code", "execution_count": 78, @@ -10797,6 +10819,13 @@ "final_moved" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As said, the temporary displacement shows us correlation of an indicator with the GDP comparing different periods of time. In this table, we have made a recount to see which range of displacement is most repeated. As we can see, no displacement is the most common case, what means correlation year-by-year is majority in our sample." + ] + }, { "cell_type": "markdown", "metadata": {}, From 61987a2c7aebddc29dd9393770b22ed742491cfd Mon Sep 17 00:00:00 2001 From: amarchve Date: Wed, 3 Aug 2022 11:31:31 +0200 Subject: [PATCH 68/86] Extract --- WDI-Complete code.ipynb | 302 ++++++++++++---------------------------- 1 file changed, 92 insertions(+), 210 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 55fb935..967c6e3 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -1,12 +1,5 @@ { "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# EXTRACTION" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -23,7 +16,9 @@ "import pandas as pd\n", "import numpy as np\n", "import glob\n", + "import requests\n", "import os\n", + "from zipfile import ZipFile\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")\n", "import functools as ft\n", @@ -38,6 +33,87 @@ "from pandas.api.types import is_numeric_dtype" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# EXTRACTION" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This step has been depreciated due to security features added to the World Bank website. However, the data is still obtainable by openinng the `url`." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the following cells we are going to import the data from the [World Bank website](https://www.worldbank.org/en/home), Data sections, and decompress it. So later on, we can process it in the integration, and subsequent parts." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To download the data, we are going to use the `request` library as just to be sure that we do not run into any inconvinient we are going to use the `stream` and `verify` to have a simple and cleaner download. Therefore, at the end we will have the data downloaded in our working directory data by design. (It can be obtained with the following function `os.getcwd()`)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "url = 'https://databank.worldbank.org/data/download/WDI_csv.zip'\n", + "r = requests.get(url, allow_redirects=True, stream = True,verify=False)\n", + "open('WDI_csv.zip', 'wb').write(r.content)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then we extract all the files that are contained in WDI_csv.zip , into the default directory in a new folder called Data." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "zip_name = \"WDI_csv.zip\"\n", + "with ZipFile(zip_name, 'r') as zip:\n", + " zip.printdir()\n", + " zip.extractall('Data') " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally we are going to delete the WDI_csv.zip." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "os.remove(os.getcwd()+'/Data/'+\"/**.zip\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# INTEGRATION *" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -443,13 +519,6 @@ "df" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# INTEGRATION" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -907,7 +976,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# NORMALIZATION" + "# Normalization *" ] }, { @@ -6378,19 +6447,19 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Categorization of variables" + "# Categorization of variables *" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "First of all, for having better treatment, al variables of a dataframe have been pivoting in a same column." + "In this section, we are going to attempt a categorization of the whole of the variables, which most of them come the same sources and just differ in the units that are measured, or the total that they are refering, between others. For a simpler treatment of the data, the variables have been pivoted into the same column." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 105, "metadata": {}, "outputs": [], "source": [ @@ -6402,189 +6471,7 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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1540363 rows × 6 columns

\n", - "
" - ], - "text/plain": [ - " Country Year Continent \\\n", - "0 DEU 1990 Europe \n", - "1 DEU 1990 Europe \n", - "2 DEU 1990 Europe \n", - "3 DEU 1990 Europe \n", - "4 DEU 1990 Europe \n", - "... ... ... ... \n", - "1540358 CHN 2021 Pair \n", - "1540359 CHN 2021 Pair \n", - "1540360 CHN 2021 Pair \n", - "1540361 CHN 2021 Pair \n", - "1540362 CHN 2021 Pair \n", - "\n", - " Indicator 0 \\\n", - "0 Access to clean fuels and technologies for coo... 1.000000 \n", - "1 Access to clean fuels and technologies for coo... 1.000000 \n", - "2 Access to clean fuels and technologies for coo... 1.000000 \n", - "3 Access to electricity (% of population) 1.000000 \n", - "4 Access to electricity, rural (% of rural popul... 1.000000 \n", - "... ... ... \n", - "1540358 GDP (current US$)+3 38.504955 \n", - "1540359 GDP (current US$)+5 31.129362 \n", - "1540360 GDP (current US$)+8 26.521259 \n", - "1540361 GDP (current US$)+13 12.731623 \n", - "1540362 GDP (current US$)+21 3.356853 \n", - "\n", - " Short indicator \n", - "0 Access to clean fuels and technologies for coo... \n", - "1 Access to clean fuels and technologies for coo... \n", - "2 Access to clean fuels and technologies for coo... \n", - "3 Access to electricity (% of population) \n", - "4 Access to electricity, rural (% of rural popul... \n", - "... ... \n", - "1540358 GDP (current US$)+3 \n", - "1540359 GDP (current US$)+5 \n", - "1540360 GDP (current US$)+8 \n", - "1540361 GDP (current US$)+13 \n", - "1540362 GDP (current US$)+21 \n", - "\n", - "[1540363 rows x 6 columns]" - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "Categorization=Goldendataframe.set_index(['Country','Year', 'Continent']).stack().reset_index()\n", "Categorization['Short indicator']=Categorization['Indicator']\n", @@ -10620,13 +10507,6 @@ "final_Behaviour" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the matrix above, we can observe which is the most common type of behaviour." - ] - }, { "cell_type": "code", "execution_count": 76, @@ -10709,10 +10589,12 @@ ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, + "outputs": [], "source": [ - "In the table above, we can observe which is the most common type of relationship." + "In the table above, we can observe which is the most common type of relationship" ] }, { From 55d63dc42845ef264d8bc2eb84378dddd1b353c7 Mon Sep 17 00:00:00 2001 From: amarchve Date: Wed, 3 Aug 2022 11:33:26 +0200 Subject: [PATCH 69/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 967c6e3..16a803d 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -37,7 +37,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# EXTRACTION" + "# Extraction" ] }, { @@ -111,7 +111,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# INTEGRATION *" + "# Integration *" ] }, { From ce172d797b18007e7a028f05b2a691b3b597d01b Mon Sep 17 00:00:00 2001 From: amarchve Date: Wed, 3 Aug 2022 11:57:48 +0200 Subject: [PATCH 70/86] itable added --- WDI-Complete code.ipynb | 83 ++++++++++++++++++++++++++++++++++++----- 1 file changed, 73 insertions(+), 10 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 16a803d..7e9edfe 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -10436,7 +10436,45 @@ "metadata": {}, "source": [ "The former table final collects the indicators that have shown a high correlation with the GDP (according to the criteria established, see above). It provides detail of each case specifying the numerical value of the correlation (R^2 Spearman); the alignment with the GDP (Behaviour); the country and continent where it applies; if there is any temporal displacement; the group of interest it belongs to and the number of times repeated.\n", - "Moreover, if we focus over the column of \"Number of times repeated\". It reflects the number of times a high correlation of each indicator is repeated over the whole sample (aggregating all countries)." + "Moreover, if we focus over the column of \"Number of times repeated\". It reflects the number of times a high correlation of each indicator is repeated over the whole sample (aggregating all countries).\n", + "\n", + "In addition we have used the `itables` library to if wanted any one can search through the table as they wish." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from itables import init_notebook_mode,show\n", + "\n", + "init_notebook_mode(all_interactive=False)\n", + "\n", + "import itables.options as opt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "show(pd.DataFrame(final),dom=\"ftpr\")\n", + "\n", + "\n", + "opt.lengthMenu=[5,10,20,50,100,200]\n", + "\n", + "opt.classes=[\"display\",\"nowrap\"]\n", + "\n", + "show(final,columnDefs=[{\"className\": \"dt-left\", \"targets\": \"_all\"}],column_filters=\"header\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, there is a recount by the different columns, *Behaviour*, *Relationship* and *Time moved*." ] }, { @@ -10589,12 +10627,10 @@ ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "In the table above, we can observe which is the most common type of relationship" + "In the table above, we can observe which is the most common type of relationship." ] }, { @@ -13872,15 +13908,14 @@ } ], "source": [ - "#COUNT HISTOGRAM: Graph for seeing the frequency of the relevant primary indicators for each region.\n", + "#COUNT HISTOGRAM: Graph for seeing the frequency of the primary indicators for each region.\n", "selected_primary=final.loc[final['Level']=='primary']\n", "selected_primary=selected_primary.loc[selected_primary['Number of times repeated']>=11]\n", "\n", + "fig=px.histogram(selected_primary,x='Indicator',histfunc=\"count\",height=700,color='Group',text_auto=True,title=\"Indicators frequency by continents\").update_xaxes(categoryorder=\"total descending\")\n", "continents=list(selected_primary['Continent'].unique())\n", - "\n", - "fig=px.histogram(selected_primary,x='Indicator',histfunc=\"count\",color='Group',text_auto=True,title=\"Indicators frequency by continents\").update_xaxes(categoryorder=\"total descending\")\n", - "\n", "buttons = []\n", + "\n", "for continent in continents:\n", " selected_primary_c = selected_primary.loc[(selected_primary['Continent'] == continent)]\n", " fig_continent = px.histogram(selected_primary_c, x='Indicator', color='Group').update_xaxes(categoryorder=\"total descending\")\n", @@ -13907,6 +13942,8 @@ " ]\n", ")\n", "\n", + "\n", + "\n", "fig.show()" ] }, @@ -13946,11 +13983,37 @@ ")" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#TREEMAP: Graph for seeing the correlation of each indicator in each country.\n", + "\n", + "#By indicator.\n", + "\n", + "fig2=px.treemap(selected_primary,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu_r')\n", + "\n", + "fig2.show()\n", + "\n", + "#By continent\n", + "\n", + "fig2d=px.treemap(selected_primary,path=['Continent','Country','Group'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu_r')\n", + "fig2d.show()\n", + "\n", + "#By group of interest\n", + "\n", + "fig2dd=px.treemap(selected_primary,path=['Group','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu_r')\n", + "\n", + "fig2dd.show()" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ - "DRAFT GRAPHS" + "#### DRAFT GRAPHS" ] }, { From 62f32d1993791e7fbcc348129a1493598672b0b8 Mon Sep 17 00:00:00 2001 From: amarchve Date: Wed, 3 Aug 2022 11:58:35 +0200 Subject: [PATCH 71/86] Introduction title --- WDI-Complete code.ipynb | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 7e9edfe..deb54f3 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -1,5 +1,12 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Introduction" + ] + }, { "cell_type": "markdown", "metadata": {}, From 5888b9d3dc968912bb5fcb79382e1db6ff56a258 Mon Sep 17 00:00:00 2001 From: masanchis <107245623+masanchis@users.noreply.github.com> Date: Wed, 3 Aug 2022 13:19:30 +0200 Subject: [PATCH 72/86] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 7529b59..07a35df 100644 --- a/README.md +++ b/README.md @@ -52,7 +52,7 @@ Therefore it is being utilized to get rid of all the outliers that may come from 4- **Removing indicators**. - Those indicators which have 20% of missing values of its total have been removed because a lack of data shows unreliable results. -- There are some indicators which represent exactly the same through different units, so, we are going to select only one type. For example, in moetary cases, indicators which are expressed with current US $ has been selected. Then, which are showed with thepercentage and the total value, we have programmed to selct which ones which show a greater value. +- There are some indicators which represent exactly the same through different units, so, we are going to select only one type. For example, in monetary cases, indicators which are expressed with current US $ has been selected. Then, which are showed with the percentage and the total value, we have programmed to selct which ones which show a greater value. # Run the application From 399daeca3b06beb5f81dc1011c15de954f03fb3e Mon Sep 17 00:00:00 2001 From: msanchis Date: Wed, 3 Aug 2022 13:29:04 +0200 Subject: [PATCH 73/86] Introduction --- IQR.webp | Bin 0 -> 2768 bytes WDI-Complete code.ipynb | 45 ++++++++++++++++++++++++++++++++++------ images.png | Bin 0 -> 3847 bytes 3 files changed, 39 insertions(+), 6 deletions(-) create mode 100644 IQR.webp create mode 100644 images.png diff --git a/IQR.webp b/IQR.webp new file mode 100644 index 0000000000000000000000000000000000000000..7d38a711b7a54b6498bc082f142284afb62a3252 GIT binary patch literal 2768 zcmV;>3NQ6iNk&G<3IG6CMM6+kP&iDx3IG5vKf+%CkK(qrZACfR3~t#(xWp4v07cLy zF;x(0EZ-5l zpaP8rq5FOBKKb!_ogD@*f*VE5fiun1gehwN>9>-;Mnln0$?Sj7(aULtS+#k98BA!? zMhQ94!VG92C%Xq2a@g&OUEp%uOZo?ST>=wp#s*3s{D3+5m&1IRvKsb?9jw`^=p%c- zX142^26Y?-ZQDpm__N-<3?gCz(8}Z1pf+Wn+XLFJIzHi7FI4d)uiC(>rCLx3sgWc} z5}8CXuVs*0{%pE?t~f{iis(NCHtejJ zMn_7PaVuj>RJ^(nEn+;7=7dCAl;b(GNYv7no|8tA_${kP8B^S1Kpx6Up`Zo z`!Ei+Z$!ZI8AwwrCkmpQ7u#p1mbH{Mil~h<7ID@lz`%&zmAFX9RC~^qy;W;yPFERdSQ zzuaIF5^q%**0chQ&6bboev&Pochb5!Fv|nA4p^hK+GyQxEBIqkE>7p(x@ z#c=bDx;#J3NWFJ0Bi4Cy4C+D;Gb&7fHx-D$;B`wtZ@;If-~DTg;KXnWpeUsU(URV$ zVop3G3^<$;7C9v;ESQG$70v~wt_1qgRto2Vp@nvol|?za%HtGpN~0Z3rE&r|q;din zdWe6PJ>xe5sl`6apH_yNtH9E_&{7HFoskJ+cPg>;qN6fQ-RjKHjZ~PqRhp3-u`qF~ zH3K(tVcu44#%%;cA?hi}q>X48v{OymP)t_8~M(@p=rF(eiZllK~nXOki?kfd&T~xawg9Vm0T)D6&LXI+>y|!5G3y z?)tuAMr4de1ar8)VGjc$YjlN^IT{ZPVmf4xh69VZvSAXVA%k>nlSLW~Y$Bz|+5liG zWRr#htGJ?J79$~}bWM|08VKxS9%Por0mHbKVHv|9yL2^^VHyQYBc80ffnyG2n#KU* zm;%|RA;3DWV3@}U$T(fYWSs^8`{DDiwHo?ucPk_n3!B7Axni}YLphykZ8Sdo4x@DxdqdOQtil+X3 zzx}wCid1Wu5{qcGh;V=@nlkX0Uu{Q^8VrI12c~HFDc^svo$QPECrc-3SO66b%RbQ_ zv?!xtC<*UFie=hEC92h$3xm4{ZPiq!QQ<94uxuw9RI4>N4Tl`g0PHIX3b3N3jy&ep zur9~{`WmE*2=C5;_IF|1JZK>KBO80xxY;rn1-03r-^r*o1TlI_)L=fCiPU7MUQs=eXxk{RKR_n>Z?!1$BA-*&(Mmt z`}a4);;gRYLi#84+of*M1zy7|+WyL}M3+(HP68ib0T&NROv6DJcnz&+M}%A9{$g2> zIK~mhkYNa1;5VeA9rW#`S($X6xK*GR^3h>1ae>Eg#46fB;Z-%)<+k}@FX{1VHWL>a4MB5TgbT-GSrT$8smlfa!z~(yTEIayh3&>Fb#NDWUra3;?B!|2QFAEtYP=2?bogG4 zS~SdGpE6tK^`K`Azk1*EPVAzAPRwe}weURe%`F;^J`jb;t5gV8MIPB1g$V|^nS~2Q zfX+NlaL3FrjOf6#^EVBrSIiqH^RS`6tcn=uGt(HFV-wKQ2ACsN424}e4S2E%|!w_z_^zF4ahz-1T zZ2Mkeue{R`5B{xv({S*%F$#}m+uR8`Y8y$0XJyCb&Cc$vMbFo7){5lV!GFa6Q{DtA WYrZT&)(MqcWZM4o|2A%)xdi|UbUo_; literal 0 HcmV?d00001 diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index deb54f3..7e73f95 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -7,6 +7,25 @@ "# Introduction" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The starting point of this project is to check if this hypothesis is validated: there exists a relationship between GDP (Gross Domestic Product) growth of a country and social and economical indicators such as population growth, fertility rates, investment in specific sectors or prices. To demostrate the validity of this assumption has been used the correlation as a decision making tool. So, through Python language and the availabe libraries such as Pandas, it has been developed an algorithim that allows us to extract reliable conclusions, being able to take the data from the database files, perform statistical computations on them and get useful numerical and visual results to make conclusions.\n", + "\n", + "This tool has been developed for all available datasets, but in our case we have extracted data from World Bank, updated on June 22, 2022.\n", + "\n", + "Along the project all steps are explained, as well as, assumptions and special terms that's important to take attention.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Extraction" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -16,9 +35,21 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'requests'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\Users\\msanchis\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 4\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mnumpy\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mnp\u001b[39;00m\n\u001b[0;32m 3\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mglob\u001b[39;00m\n\u001b[1;32m----> 4\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mrequests\u001b[39;00m\n\u001b[0;32m 5\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mos\u001b[39;00m\n\u001b[0;32m 6\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mzipfile\u001b[39;00m \u001b[39mimport\u001b[39;00m ZipFile\n", + "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'requests'" + ] + } + ], "source": [ "import pandas as pd\n", "import numpy as np\n", @@ -1006,7 +1037,9 @@ "source": [ "The interquartile range (IQR) measures the spread of the middle half of your data. It is the range for the middle 50% of your sample. Use the IQR to assess the variability where most of your values lie. Larger values indicate that the central portion of your data spread out further. Conversely, smaller values show that the middle values cluster more tightly.\n", "\n", - "To visualize the interquartile range, imagine dividing your data into quarters. Statisticians refer to these quarters as quartiles and label them from low to high as Q1, Q2, Q3, and Q4. The lowest quartile (Q1) covers the smallest quarter of values in your dataset. The upper quartile (Q4) comprises the highest quarter of values. The interquartile range is the middle half of the data that lies between the upper and lower quartiles. In other words, the interquartile range includes the 50% of data points that are above Q1 and below Q4.\n", + "To visualize the interquartile range, imagine dividing your data into quarters. Statisticians refer to these quarters as quartiles and label them from low to high as Q1, Q2, Q3, and Q4. The lowest quartile (Q1) covers the smallest quarter of values in your dataset. The upper quartile (Q4) comprises the highest quarter of values. The interquartile range is the middle half of the data that lies between the upper and lower quartiles. In other words, the interquartile range includes the 50% of data points that are above Q1 and below Q4. The IQR is the red area in the graph below, containing Q2 and Q3 (not labeled).\n", + "\n", + "https://camo.githubusercontent.com/a5f6cf8164048f8c28f9b00b94e1264480c8c3b20a1b3d0bdca47083f3a86a19/68747470733a2f2f69302e77702e636f6d2f7374617469737469637362796a696d2e636f6d2f77702d636f6e74656e742f75706c6f6164732f323031382f30332f696e7465727175617274696c655f72616e67652e706e673f773d3537362673736c3d31\n", "\n", "When measuring variability, statisticians prefer using the interquartile range instead of the full data range because extreme values and outliers affect it less. Typically, use the IQR with a measure of central tendency, such as the median, to understand your data’s center and spread. This combination creates a fuller picture of your data’s distribution.\n", "\n", @@ -4679,7 +4712,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Afterwards, we have scaled the values. The process we have followed consists of dividing each value by the initial value (1990) of each variable. Each result is expressed as the growth with respect to the initial data." + "Afterwards, we have scaled the values. The escalation process has been done dividing each value by the initial one of an indicator (value in 1990). Considering the start point as 1 (initial value divided by itself), each result will show the growth respect to the initial data." ] }, { @@ -6489,7 +6522,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "There are some indicators which show same results through different units. In our study we are going to work only with those expressed in US$. \n", + " There are some indicators which represent exactly the same through different units, so, we are going to select only one type. For example, in monetary cases, indicators which are expressed with current US $ has been selected. Then, which are showed with the percentage and the total value, we have programmed to selct which ones which show a greater value.\n", "\n", "The links used to learn about these functions have been:\n", "\n", @@ -15018,7 +15051,7 @@ }, "vscode": { "interpreter": { - "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" + "hash": "0581013962d1422e924d6baa4c1347697ec037e3370ec501496e00dda3f2654b" } } }, diff --git a/images.png b/images.png new file mode 100644 index 0000000000000000000000000000000000000000..d6f3aee2fb7f2589436791894d74cb975c67d727 GIT binary patch literal 3847 zcmV+i5BTtjP)iwT6XxdT*x1;>z`&FM0LRD2_4W0G004knThi9n>+S7=VqyRQ0PE`M_4WUj4*>A+ z|CE&f($LKF_4!Rr|G>ci`TG3o>i-}h|IEz)f11dGkEgZ6+^f6Tho8whI{)3>|CA98 zpt92dPNX_&uSasT<>~SkS*TKZw$a(?US9vy)c>}&|CyQpJUss>Vy(o_<86$;-sJCL zgu5#%|5H={cX$81y#GZ-{~aCwr>Fm7V*hY(|1&fH00930GMeDKmrnoyK^{ZQ-^ua+ z|63JP06?FUsLpVQhV1s>kd`~L7yOFD?o8HQ!D?MqVeo$eQu1795 zVJRH2*Xb=~m|7nI2u60Lhh+d9GiPpYI};R6R9hn^S34UBR7EjZX@rST4!(_9N^gF9 zB}G;*YUIV64n=HjE?HnT0BlS(i54e4DRNjjU}r!{9G+AI000ciNklVF z9suwm8$x=dKtdLlhd{`Z@Cr!?fdmL4_Kc7iV&fymss*{lM}Netemkotd2_NZr|v(omyLrX8ixiA@ykD2}#C zWwcEyqis?dZIjAqn^XoZ6Gp4eUDtjyyc6tUdJ50iQb?8bHd(m~5aab`{U>U++v;Y&vNPq>-uBIR!Ne2~_5pF6!O+)^-y z&mX_AuFXBd?EM3VPSK%NcX}?SH$J@dEA_86w>LDJ%bOovxvKfi$Jc(l_3(GvPc)Ad z*MI*9jpmPk!sP_tT4k8SpLXx8pSz%0>wfQsW?g&c=AUn!`-|rGDuq<3np~N`c=_Qk5|98 zJ$&@V8oRT;bL-qC8iA#?+@CW;HLv!fwAKu`x z$>x)%r>=eSoH=q7v>-tvD&J!iBJ4Y@&dzPy^8!tDX+|aDPxBKv$Bi}yz=la!~ zPya=w*`?M$QK>rBOuw2@skADk0&g&?{;zfw%1)KGU)8Tx;bvHgFI7GLN;Pg{J5`JV z-%_g>75=yQ`4`uFP6&@s2x=z64n|S@zk=DmyPLn4$==RxE3(^)y*q?^6xtJa?wk+h zo<$>7Is37ljXzVZpqHhrCXK%_ts;_pv-WtWBHAXEQD#DQ+OwsirU}!p{JBQ$a?*`{ zropvMDx$k>QW0&F%4nNZ#!tm$L-R6(uP$md>%`ydCt|X#**bFzUq8Q0;mump#Ln}) zyZDa7-^_pa7+*jC_sTr+cW*%xnxTsrlA zSFaF*FFgAwKb)Gs_$d-H+I&g8ptPC^Kj-S`?Z`#%tCWY$-M#&vk8bXs)y)5RU&9m6 zp~X!2R7dY%$6oYyz1l}ng;2K-^{ag3lV~jycCMo!k}E0`^s{Iw6W%jeN`g^d470S; zXeARi^}3t{$5AWoJX*k$l3JFH>P_8|#W0Fo)C&BHki!Msb znD|n?)oM--Wt?g%Eo0*CszriPj#6z>TE)b7v_{Rz#^5l`Tw2A%TStU;L1_^aYu#dk z3yLd5FPYXb@uljD;DYkKmtHolVKP~#f!(V;6b66!XbF@04QwvD=oOTfF!6RBNJ6uq zw1P<^#e`--X#o@8Tm!{K=*`mVq_lvEx7rLrHIz5xrya8)zlrZfBQ*!d;OjJ@ z2LCrszM#l!;#I!WoJrTa4)VieSxs0+XR{{1U>(HMlGViORyS>e$QKkjO@ekL!UPdt zeIcg_{%~SUY^0BC$Y>HA7iZ!ly*rlC#2OT5f=KU<C0lu9GYL9`OK~PF*%^GlZm}K5YZ-R*j?kbrH3pg?)`(|;!V&bvGimynSd}!5nBlAmO z4wF#f0H*{Kj@TTe943>6=23zPvXZJiGMI#lPCb!g!jo!cbKE1u@@h+l4OFc93m0aO*jvniI+@4p>EhZMB*?hWs~x8n^Y6T z6BzW+H3^kZElW1B5jfL{u1UIlKOxx!&B13$*QDZ0m2P5(U*1O5q_R69-2}lOPp4`! zTroZYFiC+I6sjhbr{4gW*ueX;G)=0kkN_}&uRIh@s!b|Gn1C2;Pn;g_ws&Oty(r_<$MUbpv-0Do?TtjT_pmobF>kyrw6jYJK)!V@H!WENscvpze@ zSqS&#?*ynlL`@0<;)Q_`gqF<#v}iU&fJ}6T0i$!&JcT!>!_hqxfS=_eYOc*x}ATtV8PNvO5Wn75$Ayd>}Fp*wRNSYLiiD_1kFS)26U+SSu^s^>>8Nf1AOYyON z6X^woq)8#UzUTt#GwHH2U?!tElUQcjfELFJFDiKopP-4is1PrOjZVW%HgPZ$qj?%7 zj0pqs&l;j*h023G5?B3^Gw~H4`s?$@24=&v3wTo>1v26M=4E|2tVe$i;Ee(u#d0=islF3KpMw??Q@Cdz zpPEWo&{D#QTg3e~K)gxDiFdx769?i(Ou}Z#;T=}Oua%K8nJgZ$FUJ=Avl%Wjv$QZ0 zmErv4i8UEX2KxLnC~nZ{`gF6VL;(3m%95zQfUc1sVPY>m_@v|TxHV%8o0C!9v_YRR z6%C9;EHOPAS=5=NHsu}?Z!(?K zXRnPh;iZgIrm~wnsDTf(37;;nIXa6FCd65?bJTHMRsx2l{DWdm;(mW5lHmFlB1^cz zW+NlWXo!qfWaAT6Qh-ftO-`G`^ka1+_=|9sHzz{)#H_!7HL0rgC(=kD|W6gB)VNC3EB3IW@GQqo_CPv91CU()oa%v_x z$A(v?NH^hZo{Euh!$Hpk*q{YiLO@yIG zL#v7}idYldM9K^Bb8+-dkT6tD z+3Pj8VoX@xH8%`%4umWw!mr66o2z~Jv{{p2dOS6k2K%WinM{PR56vC3R?G?t(U=L# zaUAb(cwH_J>|eH&(F6%yD~HRKN;@1O{P_xZ*E3;RHf Date: Wed, 3 Aug 2022 13:40:23 +0200 Subject: [PATCH 74/86] describe through images --- WDI-Complete code.ipynb | 47 +++++++++++++++++++++++------------------ 1 file changed, 27 insertions(+), 20 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 7e73f95..f693ed0 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -19,13 +19,6 @@ "\n" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Extraction" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -8934,11 +8927,15 @@ "\n", "**If p-value < α then reject H_0 and accept H_1.​**\n", "\n", - "P-value: is the probability of obtaining test results at least as extreme as the result actually observed.\n", + "P-value: is the probability of obtaining test results at least as extreme as the result actually observed. (Marging of the error)\n", "\n", "​Confidence level (α): probability that a population parameter will fall between a set of values for a certain proportion of times. α = 1 - p-value.\n", "\n", - "​Significance level: probability of the study rejecting the null hypothesis when it is actually true.​ " + "​Significance level: probability of the study rejecting the null hypothesis when it is actually true.​ \n", + "\n", + "At the end we want to follow a process that checks if with Pearson and Spearman the correlation is relevant, as the image below ilustrates. \n", + "\n", + "![](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/main-the-big-three/Logos/Spearman%20and%20pearson%20process.JPG)\n" ] }, { @@ -9746,6 +9743,15 @@ "#HTML(df_indicators.to_html(index=False))" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "While for the temporal diferences, we want to know which works better in each case, the process to be followed is described in the following picture.\n", + "\n", + "![](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/main-the-big-three/Logos/Temporal%20process.JPG)\n" + ] + }, { "cell_type": "code", "execution_count": 62, @@ -10212,6 +10218,15 @@ "clist=quarterfinal['Country'].unique()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To sum up, we compare both of the highest correlations and decide which is best, by comparing the R^2. So the process of searching for correlations is as follows.\n", + "\n", + "![](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/main-the-big-three/Logos/Final%20table%20process.JPG)" + ] + }, { "cell_type": "code", "execution_count": 84, @@ -10491,17 +10506,9 @@ "\n", "init_notebook_mode(all_interactive=False)\n", "\n", - "import itables.options as opt" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "show(pd.DataFrame(final),dom=\"ftpr\")\n", + "import itables.options as opt\n", "\n", + "show(pd.DataFrame(final),dom=\"ftpr\")\n", "\n", "opt.lengthMenu=[5,10,20,50,100,200]\n", "\n", @@ -15051,7 +15058,7 @@ }, "vscode": { "interpreter": { - "hash": "0581013962d1422e924d6baa4c1347697ec037e3370ec501496e00dda3f2654b" + "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" } } }, From e32d30806878e5d23857d9f497db52013d514713 Mon Sep 17 00:00:00 2001 From: msanchis Date: Wed, 3 Aug 2022 14:00:27 +0200 Subject: [PATCH 75/86] =?UTF-8?q?TITULO=20&=20=C3=8DNDICE?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- WDI-Complete code.ipynb | 27 ++++++++++++++++++++++++++- 1 file changed, 26 insertions(+), 1 deletion(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index f693ed0..f037b5b 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -1,5 +1,30 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

Phrontistery - Data Driven Decisions

\n", + "

The Big Three

" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# **Catalogue**\n", + "* [Introduction](#Introduction)\n", + "* [Extraction](#Extraction)\n", + "* [Integration](#Integration)\n", + "* [Normalization](#Normalization)\n", + "* [Categorization of variables](#Categorizationofvariables)\n", + "* [Correlation study](#Correlationstudy)\n", + "* [Visualization of results](#Visualizationofresults)\n", + "* [Spurious correlations](#Spuriouscorrelations)\n", + "\n", + "\n" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -15058,7 +15083,7 @@ }, "vscode": { "interpreter": { - "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" + "hash": "0581013962d1422e924d6baa4c1347697ec037e3370ec501496e00dda3f2654b" } } }, From d729d90bd689feffe763c7bba78586bbe275ccdf Mon Sep 17 00:00:00 2001 From: msanchis Date: Wed, 3 Aug 2022 14:25:38 +0200 Subject: [PATCH 76/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index f037b5b..9584c28 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -6505,7 +6505,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Categorization of variables *" + "# Categorization of variables * " ] }, { From f86d25e3804bff62ab38a58a4b965955a7ba2f55 Mon Sep 17 00:00:00 2001 From: amarchve Date: Wed, 3 Aug 2022 14:26:32 +0200 Subject: [PATCH 77/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 49 ++++++++++++++++++++++------------------- 1 file changed, 26 insertions(+), 23 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index f037b5b..e977c80 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -8,23 +8,6 @@ "

The Big Three

" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# **Catalogue**\n", - "* [Introduction](#Introduction)\n", - "* [Extraction](#Extraction)\n", - "* [Integration](#Integration)\n", - "* [Normalization](#Normalization)\n", - "* [Categorization of variables](#Categorizationofvariables)\n", - "* [Correlation study](#Correlationstudy)\n", - "* [Visualization of results](#Visualizationofresults)\n", - "* [Spurious correlations](#Spuriouscorrelations)\n", - "\n", - "\n" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -40,6 +23,17 @@ "\n", "This tool has been developed for all available datasets, but in our case we have extracted data from World Bank, updated on June 22, 2022.\n", "\n", + "The steps of the project have been as follows:\n", + "\n", + "* [Extraction](#Extraction)\n", + "* [Integration](#Integration)\n", + "* [Normalization](#Normalization)\n", + "* [Categorization of variables](#Categorization-of-variables)\n", + "* [Correlation study](#Correlation-study)\n", + "* [Visualization of results](#Visualization-of-results)\n", + "* [Spurious correlations](#Spurious-correlations)\n", + "\n", + "\n", "Along the project all steps are explained, as well as, assumptions and special terms that's important to take attention.\n", "\n" ] @@ -72,7 +66,6 @@ "import pandas as pd\n", "import numpy as np\n", "import glob\n", - "import requests\n", "import os\n", "from zipfile import ZipFile\n", "import warnings\n", @@ -167,7 +160,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Integration *" + "# Integration" ] }, { @@ -1032,7 +1025,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Normalization *" + "# Normalization" ] }, { @@ -5340,6 +5333,17 @@ "datau" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As later on we want to study the correlations with time moved, we need to create new columns for it. The reason why is because, maybe the effect of a variable does not happen until a couple of years later. The time movements that have been considered are those of the Fibonacci serie within our time period. \n", + "\n", + "The following pictures helps to realize the behaviour that we were explaining. \n", + "\n", + "![](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/main-the-big-three/Logos/Time%20moved.JPG)" + ] + }, { "cell_type": "code", "execution_count": null, @@ -6505,7 +6509,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Categorization of variables *" + "# Categorization of variables" ] }, { @@ -7203,7 +7207,6 @@ } ], "source": [ - "#Delete the extracted information from origin column. \n", "Categorization2['Short indicator']=Categorization2['Short indicator'].str.replace(r\" (\\(.*\\))\",\"\")\n", "Categorization2" ] @@ -15083,7 +15086,7 @@ }, "vscode": { "interpreter": { - "hash": "0581013962d1422e924d6baa4c1347697ec037e3370ec501496e00dda3f2654b" + "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" } } }, From 1fda0434eab5c60e63a8c6b54897454062073729 Mon Sep 17 00:00:00 2001 From: amarchve Date: Wed, 3 Aug 2022 14:30:17 +0200 Subject: [PATCH 78/86] Revert "Update WDI-Complete code.ipynb" This reverts commit ca48c67f8fb1f2213008648214f318e8fbcee81b, reversing changes made to f86d25e3804bff62ab38a58a4b965955a7ba2f55. --- WDI-Complete code.ipynb | 3 --- 1 file changed, 3 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 98d4a2a..e977c80 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -6510,9 +6510,6 @@ "metadata": {}, "source": [ "# Categorization of variables" -======= - "# Categorization of variables * " ->>>>>>> d729d90bd689feffe763c7bba78586bbe275ccdf ] }, { From 6960cb5414e76a25b8427f7c50cec9bc7065b26e Mon Sep 17 00:00:00 2001 From: amarchve Date: Wed, 3 Aug 2022 14:35:05 +0200 Subject: [PATCH 79/86] Last graphs --- WDI-Complete code.ipynb | 153 +++++++++++++++++++++++----------------- 1 file changed, 88 insertions(+), 65 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index e977c80..14dc34e 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -14085,90 +14085,113 @@ ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, + "outputs": [], "source": [ - "#### DRAFT GRAPHS" + "\n", + "lastdf=final.dropna()\n", + "\n", + "lastdf.isna().sum()\n", + "\n", + "from ipywidgets import widgets, HBox\n", + "\n", + "out = widgets.Output()\n", + "\n", + "def output_treemap(path):\n", + "\n", + " figA = px.treemap(lastdf, path=path, values='R^2 Spearman',\n", + "\n", + " color='R^2 Spearman',\n", + "\n", + " color_continuous_scale='RdBu_r')\n", + "\n", + " figA.update_layout(margin = dict(t=50, l=25, r=25, b=25))\n", + "\n", + " out.clear_output(wait=True)\n", + "\n", + " with out:\n", + "\n", + " figA.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "04733323bb08436ab57eb3c808eb6106", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(SelectMultiple(description='Indicator', index=(3,), layout=Layout(height='80px', width='…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "unique_tri = selected_primary['Indicator'].unique()\n", - "tri = widgets.SelectMultiple(\n", - " options = unique_tri.tolist(),\n", - " value = ['Exports of goods and services (current US$)'],\n", - " description='Indicator',\n", + "path_1_dropdown = widgets.Dropdown(\n", + "\n", + " options=['Continent', 'Country','Group','Indicator'],\n", + "\n", + " value='Continent',\n", + "\n", + " description='Path 1',\n", + "\n", " disabled=False,\n", - " layout = Layout(width='50%', height='80px')\n", + "\n", ")\n", "\n", - "def graf1(tri):\n", - " dat=selected_primary.loc[selected_primary.loc[:, 'Indicator'].isin(np.array(tri))]\n", - " a=px.choropleth(dat, locations=\"Country\", locationmode='ISO-3', \n", - " color=\"R^2 Spearman\", hover_name=\"Country\",hover_data = [dat.Type, dat.Behaviour,dat.Moved,dat.Group],projection=\"natural earth\",\n", - " color_continuous_scale='Reds', width=700, height=500, title= dat.Indicator.unique().tolist()[0])\n", - " print(tri)\n", - " a.show()\n", - "widgets.interactive(graf1, tri=tri)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To wrap up, we can create the second widget that is exactly the same as the previous multiple selection widget. The purpose of this widget is to enable us to choose which Continent we want to visualize. Below is the code implementation of this widget." + "path_2_dropdown = widgets.Dropdown(\n", + "\n", + " options=['Continent', 'Country','Group','Indicator'],\n", + "\n", + " value='Country',\n", + "\n", + " description='Path 2',\n", + "\n", + " disabled=False,\n", + "\n", + ")\n", + "\n", + "path_3_dropdown=widgets.Dropdown(\n", + "\n", + " options=['Continent', 'Country','Group','Indicator'],\n", + "\n", + " value='Group',\n", + "\n", + " description='Path 3',\n", + "\n", + " disabled=False,\n", + "\n", + ")\n", + "\n", + "path_4_dropdown=widgets.Dropdown(\n", + "\n", + " options=['Continent', 'Country','Group','Indicator'],\n", + "\n", + " value='Indicator',\n", + "\n", + " description='Path 4',\n", + "\n", + " disabled=False,\n", + "\n", + ")\n", + "\n", + "ok_button = widgets.Button(\n", + "\n", + " description='Ready to go',\n", + "\n", + " disabled=False,\n", + "\n", + " button_style='info', # 'success', 'info', 'warning', 'danger' or ''\n", + "\n", + " icon='check' # (FontAwesome names without the `fa-` prefix)\n", + "\n", + ")\n", + "\n", + "ok_button.on_click(lambda _: output_treemap([px.Constant(\"World\"), path_1_dropdown.value, path_2_dropdown.value,path_3_dropdown.value,path_4_dropdown.value]))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'final_join' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\amarchve\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 162\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m unique_tric1\u001b[39m=\u001b[39mfinal_join[\u001b[39m'\u001b[39m\u001b[39mContinent\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39munique()\n\u001b[0;32m 2\u001b[0m unique_tric2\u001b[39m=\u001b[39mfinal_join[\u001b[39m'\u001b[39m\u001b[39mGroup\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39munique()\n\u001b[0;32m 4\u001b[0m tric1\u001b[39m=\u001b[39mwidgets\u001b[39m.\u001b[39mSelectMultiple(options\u001b[39m=\u001b[39munique_tric1\u001b[39m.\u001b[39mtolist(),value\u001b[39m=\u001b[39m[\u001b[39m'\u001b[39m\u001b[39mEurope\u001b[39m\u001b[39m'\u001b[39m],description\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mContinent\u001b[39m\u001b[39m'\u001b[39m,disabled\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m,layout\u001b[39m=\u001b[39mLayout(width\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m50\u001b[39m\u001b[39m%\u001b[39m\u001b[39m'\u001b[39m,height\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m80px\u001b[39m\u001b[39m'\u001b[39m))\n", - "\u001b[1;31mNameError\u001b[0m: name 'final_join' is not defined" - ] - } - ], + "outputs": [], "source": [ - "unique_tric1=final_join['Continent'].unique()\n", - "unique_tric2=final_join['Group'].unique()\n", - "\n", - "tric1=widgets.SelectMultiple(options=unique_tric1.tolist(),value=['Europe'],description='Continent',disabled=False,layout=Layout(width='50%',height='80px'))\n", - "tric2=widgets.SelectMultiple(options=unique_tric2.tolist(),value=['Exports'],description='Group',disabled=False,layout=Layout(width='50%',height='80px'))\n", - "\n", - "def graph1(tric1,tric2):\n", - " dat=final_join.loc[final_join.loc[:,'Continent'].isin(np.array(tric1))]\n", - " dat=dat.loc[dat.loc[:,'Group'].isin(np.array(tric2))]\n", - " \n", - " fig=sns.countplot(data=dat, y=\"Indicator\", hue=\"Level\")\n", - " fig\n", - "widgets.interactive(graph1,tric1=tric1,tric2=tric2)\n" + "display(HBox([path_1_dropdown, path_2_dropdown, path_3_dropdown,path_4_dropdown,ok_button]), out)" ] }, { From 265c6dabc66285d56a4cfaf05c888760813965e2 Mon Sep 17 00:00:00 2001 From: amarchve Date: Wed, 3 Aug 2022 15:01:06 +0200 Subject: [PATCH 80/86] Update WDI-Complete code.ipynb --- WDI-Complete code.ipynb | 211091 ++++++++++++++++++++++++++++++++++++- 1 file changed, 210837 insertions(+), 254 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 14dc34e..d264044 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -47,21 +47,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 1, "metadata": {}, - "outputs": [ - { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'requests'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\msanchis\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 4\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mnumpy\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mnp\u001b[39;00m\n\u001b[0;32m 3\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mglob\u001b[39;00m\n\u001b[1;32m----> 4\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mrequests\u001b[39;00m\n\u001b[0;32m 5\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mos\u001b[39;00m\n\u001b[0;32m 6\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mzipfile\u001b[39;00m \u001b[39mimport\u001b[39;00m ZipFile\n", - "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'requests'" - ] - } - ], + "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", @@ -1072,7 +1060,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -2997,29 +2985,14 @@ "metadata": {}, "outputs": [ { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\WDI-Complete code.ipynb Cell 55\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(\u001b[39m1\u001b[39m,\u001b[39mlen\u001b[39m(country_list)):\n\u001b[0;32m 7\u001b[0m dat\u001b[39m=\u001b[39mdf\u001b[39m.\u001b[39mloc[df\u001b[39m.\u001b[39mloc[:, \u001b[39m'\u001b[39m\u001b[39mCountry\u001b[39m\u001b[39m'\u001b[39m] \u001b[39m==\u001b[39m country_list[i]]\n\u001b[1;32m----> 8\u001b[0m datc\u001b[39m=\u001b[39mdat\u001b[39m.\u001b[39;49minterpolate(method\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mlinear\u001b[39;49m\u001b[39m\"\u001b[39;49m)\n\u001b[0;32m 9\u001b[0m datc\u001b[39m=\u001b[39mdatc\u001b[39m.\u001b[39mfillna(method\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mffill\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m 10\u001b[0m data\u001b[39m=\u001b[39mpd\u001b[39m.\u001b[39mconcat((data, datc), axis \u001b[39m=\u001b[39m \u001b[39m0\u001b[39m)\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\util\\_decorators.py:311\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments..decorate..wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 305\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(args) \u001b[39m>\u001b[39m num_allow_args:\n\u001b[0;32m 306\u001b[0m warnings\u001b[39m.\u001b[39mwarn(\n\u001b[0;32m 307\u001b[0m msg\u001b[39m.\u001b[39mformat(arguments\u001b[39m=\u001b[39marguments),\n\u001b[0;32m 308\u001b[0m \u001b[39mFutureWarning\u001b[39;00m,\n\u001b[0;32m 309\u001b[0m stacklevel\u001b[39m=\u001b[39mstacklevel,\n\u001b[0;32m 310\u001b[0m )\n\u001b[1;32m--> 311\u001b[0m \u001b[39mreturn\u001b[39;00m func(\u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\frame.py:10931\u001b[0m, in \u001b[0;36mDataFrame.interpolate\u001b[1;34m(self, method, axis, limit, inplace, limit_direction, limit_area, downcast, **kwargs)\u001b[0m\n\u001b[0;32m 10919\u001b[0m \u001b[39m@deprecate_nonkeyword_arguments\u001b[39m(version\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m, allowed_args\u001b[39m=\u001b[39m[\u001b[39m\"\u001b[39m\u001b[39mself\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mmethod\u001b[39m\u001b[39m\"\u001b[39m])\n\u001b[0;32m 10920\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39minterpolate\u001b[39m(\n\u001b[0;32m 10921\u001b[0m \u001b[39mself\u001b[39m: DataFrame,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 10929\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 10930\u001b[0m ) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m DataFrame \u001b[39m|\u001b[39m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m> 10931\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39msuper\u001b[39m()\u001b[39m.\u001b[39minterpolate(\n\u001b[0;32m 10932\u001b[0m method,\n\u001b[0;32m 10933\u001b[0m axis,\n\u001b[0;32m 10934\u001b[0m limit,\n\u001b[0;32m 10935\u001b[0m inplace,\n\u001b[0;32m 10936\u001b[0m limit_direction,\n\u001b[0;32m 10937\u001b[0m limit_area,\n\u001b[0;32m 10938\u001b[0m downcast,\n\u001b[0;32m 10939\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 10940\u001b[0m )\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\generic.py:7034\u001b[0m, in \u001b[0;36mNDFrame.interpolate\u001b[1;34m(self, method, axis, limit, inplace, limit_direction, limit_area, downcast, **kwargs)\u001b[0m\n\u001b[0;32m 7028\u001b[0m \u001b[39mif\u001b[39;00m isna(index)\u001b[39m.\u001b[39many():\n\u001b[0;32m 7029\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mNotImplementedError\u001b[39;00m(\n\u001b[0;32m 7030\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mInterpolation with NaNs in the index \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 7031\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mhas not been implemented. Try filling \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 7032\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mthose NaNs before interpolating.\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 7033\u001b[0m )\n\u001b[1;32m-> 7034\u001b[0m new_data \u001b[39m=\u001b[39m obj\u001b[39m.\u001b[39m_mgr\u001b[39m.\u001b[39minterpolate(\n\u001b[0;32m 7035\u001b[0m method\u001b[39m=\u001b[39mmethod,\n\u001b[0;32m 7036\u001b[0m axis\u001b[39m=\u001b[39maxis,\n\u001b[0;32m 7037\u001b[0m index\u001b[39m=\u001b[39mindex,\n\u001b[0;32m 7038\u001b[0m limit\u001b[39m=\u001b[39mlimit,\n\u001b[0;32m 7039\u001b[0m limit_direction\u001b[39m=\u001b[39mlimit_direction,\n\u001b[0;32m 7040\u001b[0m limit_area\u001b[39m=\u001b[39mlimit_area,\n\u001b[0;32m 7041\u001b[0m inplace\u001b[39m=\u001b[39minplace,\n\u001b[0;32m 7042\u001b[0m downcast\u001b[39m=\u001b[39mdowncast,\n\u001b[0;32m 7043\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 7044\u001b[0m )\n\u001b[0;32m 7046\u001b[0m result \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_constructor(new_data)\n\u001b[0;32m 7047\u001b[0m \u001b[39mif\u001b[39;00m should_transpose:\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\internals\\managers.py:359\u001b[0m, in \u001b[0;36mBaseBlockManager.interpolate\u001b[1;34m(self, **kwargs)\u001b[0m\n\u001b[0;32m 358\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39minterpolate\u001b[39m(\u001b[39mself\u001b[39m: T, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m T:\n\u001b[1;32m--> 359\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mapply(\u001b[39m\"\u001b[39m\u001b[39minterpolate\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\internals\\managers.py:304\u001b[0m, in \u001b[0;36mBaseBlockManager.apply\u001b[1;34m(self, f, align_keys, ignore_failures, **kwargs)\u001b[0m\n\u001b[0;32m 302\u001b[0m applied \u001b[39m=\u001b[39m b\u001b[39m.\u001b[39mapply(f, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[0;32m 303\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m--> 304\u001b[0m applied \u001b[39m=\u001b[39m \u001b[39mgetattr\u001b[39m(b, f)(\u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[0;32m 305\u001b[0m \u001b[39mexcept\u001b[39;00m (\u001b[39mTypeError\u001b[39;00m, \u001b[39mNotImplementedError\u001b[39;00m):\n\u001b[0;32m 306\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m ignore_failures:\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\internals\\blocks.py:1099\u001b[0m, in \u001b[0;36mBlock.interpolate\u001b[1;34m(self, method, axis, index, inplace, limit, limit_direction, limit_area, fill_value, coerce, downcast, **kwargs)\u001b[0m\n\u001b[0;32m 1096\u001b[0m data \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mvalues \u001b[39mif\u001b[39;00m inplace \u001b[39melse\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mvalues\u001b[39m.\u001b[39mcopy()\n\u001b[0;32m 1097\u001b[0m data \u001b[39m=\u001b[39m cast(np\u001b[39m.\u001b[39mndarray, data) \u001b[39m# bc overridden by ExtensionBlock\u001b[39;00m\n\u001b[1;32m-> 1099\u001b[0m missing\u001b[39m.\u001b[39minterpolate_array_2d(\n\u001b[0;32m 1100\u001b[0m data,\n\u001b[0;32m 1101\u001b[0m method\u001b[39m=\u001b[39mmethod,\n\u001b[0;32m 1102\u001b[0m axis\u001b[39m=\u001b[39maxis,\n\u001b[0;32m 1103\u001b[0m index\u001b[39m=\u001b[39mindex,\n\u001b[0;32m 1104\u001b[0m limit\u001b[39m=\u001b[39mlimit,\n\u001b[0;32m 1105\u001b[0m limit_direction\u001b[39m=\u001b[39mlimit_direction,\n\u001b[0;32m 1106\u001b[0m limit_area\u001b[39m=\u001b[39mlimit_area,\n\u001b[0;32m 1107\u001b[0m fill_value\u001b[39m=\u001b[39mfill_value,\n\u001b[0;32m 1108\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 1109\u001b[0m )\n\u001b[0;32m 1111\u001b[0m nb \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmake_block_same_class(data)\n\u001b[0;32m 1112\u001b[0m \u001b[39mreturn\u001b[39;00m nb\u001b[39m.\u001b[39m_maybe_downcast([nb], downcast)\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\missing.py:249\u001b[0m, in \u001b[0;36minterpolate_array_2d\u001b[1;34m(data, method, axis, index, limit, limit_direction, limit_area, fill_value, coerce, downcast, **kwargs)\u001b[0m\n\u001b[0;32m 246\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 247\u001b[0m \u001b[39massert\u001b[39;00m index \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39m# for mypy\u001b[39;00m\n\u001b[1;32m--> 249\u001b[0m _interpolate_2d_with_fill(\n\u001b[0;32m 250\u001b[0m data\u001b[39m=\u001b[39mdata,\n\u001b[0;32m 251\u001b[0m index\u001b[39m=\u001b[39mindex,\n\u001b[0;32m 252\u001b[0m axis\u001b[39m=\u001b[39maxis,\n\u001b[0;32m 253\u001b[0m method\u001b[39m=\u001b[39mmethod,\n\u001b[0;32m 254\u001b[0m limit\u001b[39m=\u001b[39mlimit,\n\u001b[0;32m 255\u001b[0m limit_direction\u001b[39m=\u001b[39mlimit_direction,\n\u001b[0;32m 256\u001b[0m limit_area\u001b[39m=\u001b[39mlimit_area,\n\u001b[0;32m 257\u001b[0m fill_value\u001b[39m=\u001b[39mfill_value,\n\u001b[0;32m 258\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 259\u001b[0m )\n\u001b[0;32m 260\u001b[0m \u001b[39mreturn\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\missing.py:344\u001b[0m, in \u001b[0;36m_interpolate_2d_with_fill\u001b[1;34m(data, index, axis, method, limit, limit_direction, limit_area, fill_value, **kwargs)\u001b[0m\n\u001b[0;32m 324\u001b[0m _interpolate_1d(\n\u001b[0;32m 325\u001b[0m indices\u001b[39m=\u001b[39mindices,\n\u001b[0;32m 326\u001b[0m yvalues\u001b[39m=\u001b[39myvalues,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 333\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 334\u001b[0m )\n\u001b[0;32m 336\u001b[0m \u001b[39m# Argument 1 to \"apply_along_axis\" has incompatible type\u001b[39;00m\n\u001b[0;32m 337\u001b[0m \u001b[39m# \"Callable[[ndarray[Any, Any]], None]\"; expected\u001b[39;00m\n\u001b[0;32m 338\u001b[0m \u001b[39m# \"Callable[..., Union[_SupportsArray[dtype[]],\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 342\u001b[0m \u001b[39m# Sequence[Sequence[Sequence[Sequence[_SupportsArray[dtype[]]]]]]]]\"\u001b[39;00m\n\u001b[0;32m 343\u001b[0m \u001b[39m# interp each column independently\u001b[39;00m\n\u001b[1;32m--> 344\u001b[0m np\u001b[39m.\u001b[39;49mapply_along_axis(func, axis, data) \u001b[39m# type: ignore[arg-type]\u001b[39;00m\n\u001b[0;32m 345\u001b[0m \u001b[39mreturn\u001b[39;00m\n", - "File \u001b[1;32m<__array_function__ internals>:180\u001b[0m, in \u001b[0;36mapply_along_axis\u001b[1;34m(*args, **kwargs)\u001b[0m\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\numpy\\lib\\shape_base.py:402\u001b[0m, in \u001b[0;36mapply_along_axis\u001b[1;34m(func1d, axis, arr, *args, **kwargs)\u001b[0m\n\u001b[0;32m 400\u001b[0m buff[ind0] \u001b[39m=\u001b[39m res\n\u001b[0;32m 401\u001b[0m \u001b[39mfor\u001b[39;00m ind \u001b[39min\u001b[39;00m inds:\n\u001b[1;32m--> 402\u001b[0m buff[ind] \u001b[39m=\u001b[39m asanyarray(func1d(inarr_view[ind], \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs))\n\u001b[0;32m 404\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39misinstance\u001b[39m(res, matrix):\n\u001b[0;32m 405\u001b[0m \u001b[39m# wrap the array, to preserve subclasses\u001b[39;00m\n\u001b[0;32m 406\u001b[0m buff \u001b[39m=\u001b[39m res\u001b[39m.\u001b[39m__array_wrap__(buff)\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\missing.py:324\u001b[0m, in \u001b[0;36m_interpolate_2d_with_fill..func\u001b[1;34m(yvalues)\u001b[0m\n\u001b[0;32m 321\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mfunc\u001b[39m(yvalues: np\u001b[39m.\u001b[39mndarray) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 322\u001b[0m \u001b[39m# process 1-d slices in the axis direction\u001b[39;00m\n\u001b[1;32m--> 324\u001b[0m _interpolate_1d(\n\u001b[0;32m 325\u001b[0m indices\u001b[39m=\u001b[39mindices,\n\u001b[0;32m 326\u001b[0m yvalues\u001b[39m=\u001b[39myvalues,\n\u001b[0;32m 327\u001b[0m method\u001b[39m=\u001b[39mmethod,\n\u001b[0;32m 328\u001b[0m limit\u001b[39m=\u001b[39mlimit,\n\u001b[0;32m 329\u001b[0m limit_direction\u001b[39m=\u001b[39mlimit_direction,\n\u001b[0;32m 330\u001b[0m limit_area\u001b[39m=\u001b[39mlimit_area,\n\u001b[0;32m 331\u001b[0m fill_value\u001b[39m=\u001b[39mfill_value,\n\u001b[0;32m 332\u001b[0m bounds_error\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m,\n\u001b[0;32m 333\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 334\u001b[0m )\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\pandas\\core\\missing.py:451\u001b[0m, in \u001b[0;36m_interpolate_1d\u001b[1;34m(indices, yvalues, method, limit, limit_direction, limit_area, fill_value, bounds_error, order, **kwargs)\u001b[0m\n\u001b[0;32m 447\u001b[0m \u001b[39mif\u001b[39;00m method \u001b[39min\u001b[39;00m NP_METHODS:\n\u001b[0;32m 448\u001b[0m \u001b[39m# np.interp requires sorted X values, #21037\u001b[39;00m\n\u001b[0;32m 450\u001b[0m indexer \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39margsort(indices[valid])\n\u001b[1;32m--> 451\u001b[0m yvalues[invalid] \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49minterp(\n\u001b[0;32m 452\u001b[0m indices[invalid], indices[valid][indexer], yvalues[valid][indexer]\n\u001b[0;32m 453\u001b[0m )\n\u001b[0;32m 454\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 455\u001b[0m yvalues[invalid] \u001b[39m=\u001b[39m _interpolate_scipy_wrapper(\n\u001b[0;32m 456\u001b[0m indices[valid],\n\u001b[0;32m 457\u001b[0m yvalues[valid],\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 463\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m 464\u001b[0m )\n", - "File \u001b[1;32m<__array_function__ internals>:180\u001b[0m, in \u001b[0;36minterp\u001b[1;34m(*args, **kwargs)\u001b[0m\n", - "File \u001b[1;32mc:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\lib\\site-packages\\numpy\\lib\\function_base.py:1570\u001b[0m, in \u001b[0;36minterp\u001b[1;34m(x, xp, fp, left, right, period)\u001b[0m\n\u001b[0;32m 1567\u001b[0m xp \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mconcatenate((xp[\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m:]\u001b[39m-\u001b[39mperiod, xp, xp[\u001b[39m0\u001b[39m:\u001b[39m1\u001b[39m]\u001b[39m+\u001b[39mperiod))\n\u001b[0;32m 1568\u001b[0m fp \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mconcatenate((fp[\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m:], fp, fp[\u001b[39m0\u001b[39m:\u001b[39m1\u001b[39m]))\n\u001b[1;32m-> 1570\u001b[0m \u001b[39mreturn\u001b[39;00m interp_func(x, xp, fp, left, right)\n", - "\u001b[1;31mKeyboardInterrupt\u001b[0m: " - ] + "data": { + "text/plain": [ + "685787" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ @@ -3038,7 +3011,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -3075,7 +3048,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -3121,7 +3094,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -3732,9 +3705,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 31, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3dda106d850e463580b809ff362ca4f3", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.2, continuous_update=False, description='% that creates unreliable source:', max=1.0, read…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "Slider1=widgets.FloatSlider(\n", " value=0.2,\n", @@ -3753,7 +3741,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -4705,7 +4693,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 31, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -4728,7 +4716,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -4737,7 +4725,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -4750,7 +4738,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -5318,7 +5306,7 @@ "[1536 rows x 1060 columns]" ] }, - "execution_count": 34, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -5346,7 +5334,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -5875,7 +5863,7 @@ "[1536 rows x 1067 columns]" ] }, - "execution_count": 35, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -5897,7 +5885,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -5920,7 +5908,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -5952,7 +5940,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -6468,7 +6456,7 @@ "[1536 rows x 1068 columns]" ] }, - "execution_count": 38, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -6488,7 +6476,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -6497,7 +6485,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -6521,7 +6509,7 @@ }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -6531,9 +6519,191 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 43, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator0Short indicator
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...
3DEU1990EuropeAccess to electricity (% of population)1.000000Access to electricity (% of population)
4DEU1990EuropeAccess to electricity, rural (% of rural popul...1.000000Access to electricity, rural (% of rural popul...
.....................
1540358CHN2021PairGDP (current US$)+338.504955GDP (current US$)+3
1540359CHN2021PairGDP (current US$)+531.129362GDP (current US$)+5
1540360CHN2021PairGDP (current US$)+826.521259GDP (current US$)+8
1540361CHN2021PairGDP (current US$)+1312.731623GDP (current US$)+13
1540362CHN2021PairGDP (current US$)+213.356853GDP (current US$)+21
\n", + "

1540363 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity (% of population) \n", + "4 Access to electricity, rural (% of rural popul... \n", + "... ... \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", + "\n", + "[1540363 rows x 6 columns]" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "Categorization=Goldendataframe.set_index(['Country','Year', 'Continent']).stack().reset_index()\n", "Categorization['Short indicator']=Categorization['Indicator']\n", @@ -6555,7 +6725,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -6735,7 +6905,7 @@ "[1372098 rows x 6 columns]" ] }, - "execution_count": 43, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -6756,7 +6926,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ @@ -6772,7 +6942,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -6977,7 +7147,7 @@ "[1372098 rows x 7 columns]" ] }, - "execution_count": 45, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -6996,7 +7166,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -7201,7 +7371,7 @@ "[1372098 rows x 7 columns]" ] }, - "execution_count": 46, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -7220,7 +7390,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -7425,7 +7595,7 @@ "[4545 rows x 7 columns]" ] }, - "execution_count": 47, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -7444,7 +7614,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -7661,7 +7831,7 @@ "[1372098 rows x 8 columns]" ] }, - "execution_count": 48, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -7680,7 +7850,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -7909,7 +8079,7 @@ "[1372098 rows x 9 columns]" ] }, - "execution_count": 49, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -7928,7 +8098,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -8157,7 +8327,7 @@ "[1372098 rows x 9 columns]" ] }, - "execution_count": 50, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -8176,7 +8346,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 52, "metadata": {}, "outputs": [], "source": [ @@ -8193,7 +8363,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -8422,7 +8592,7 @@ "[1157276 rows x 9 columns]" ] }, - "execution_count": 52, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -8440,7 +8610,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -8669,7 +8839,7 @@ "[1372098 rows x 9 columns]" ] }, - "execution_count": 53, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -8689,7 +8859,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -8918,7 +9088,7 @@ "[687830 rows x 9 columns]" ] }, - "execution_count": 54, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -8930,7 +9100,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 56, "metadata": {}, "outputs": [], "source": [ @@ -8968,7 +9138,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 57, "metadata": {}, "outputs": [], "source": [ @@ -8977,7 +9147,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 58, "metadata": {}, "outputs": [], "source": [ @@ -8986,7 +9156,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 59, "metadata": {}, "outputs": [], "source": [ @@ -9004,7 +9174,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 60, "metadata": {}, "outputs": [], "source": [ @@ -9029,7 +9199,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 61, "metadata": {}, "outputs": [], "source": [ @@ -9039,7 +9209,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 62, "metadata": {}, "outputs": [], "source": [ @@ -9055,13 +9225,13 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "bf09bd91f02b4ce19070b2b77508ac60", + "model_id": "b20e00c8aeca422da078f4eaca6d3986", "version_major": 2, "version_minor": 0 }, @@ -9075,7 +9245,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "8a0cfdcca53f479d9abf09a37df8af10", + "model_id": "4500dbbc0fff401197dd1817a20a276b", "version_major": 2, "version_minor": 0 }, @@ -9089,7 +9259,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cef64eeb4ec841cd8f49108d15cbb63d", + "model_id": "987be8a539424a90b91f2e4a5abfc97d", "version_major": 2, "version_minor": 0 }, @@ -9103,7 +9273,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "10aaf4c5d7de47f59967c721623cba0d", + "model_id": "b7a8261513664525a5402f32530114c9", "version_major": 2, "version_minor": 0 }, @@ -9132,7 +9302,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 64, "metadata": {}, "outputs": [], "source": [ @@ -9170,7 +9340,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 65, "metadata": {}, "outputs": [], "source": [ @@ -9192,7 +9362,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ @@ -9210,7 +9380,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 67, "metadata": {}, "outputs": [], "source": [ @@ -9230,7 +9400,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 68, "metadata": {}, "outputs": [], "source": [ @@ -9250,7 +9420,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ @@ -9272,7 +9442,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 70, "metadata": {}, "outputs": [], "source": [ @@ -9294,7 +9464,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 71, "metadata": {}, "outputs": [], "source": [ @@ -9321,7 +9491,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 72, "metadata": {}, "outputs": [], "source": [ @@ -9339,7 +9509,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -9615,7 +9785,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 74, "metadata": {}, "outputs": [], "source": [ @@ -9625,7 +9795,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -9761,7 +9931,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 76, "metadata": {}, "outputs": [], "source": [ @@ -9782,7 +9952,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 77, "metadata": {}, "outputs": [], "source": [ @@ -9792,7 +9962,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 78, "metadata": {}, "outputs": [], "source": [ @@ -9830,7 +10000,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 79, "metadata": {}, "outputs": [ { @@ -9985,7 +10155,7 @@ "[9700 rows x 5 columns]" ] }, - "execution_count": 64, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } @@ -10026,7 +10196,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 80, "metadata": {}, "outputs": [ { @@ -10193,7 +10363,7 @@ "[15670 rows x 6 columns]" ] }, - "execution_count": 65, + "execution_count": 80, "metadata": {}, "output_type": "execute_result" } @@ -10209,7 +10379,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 81, "metadata": {}, "outputs": [], "source": [ @@ -10218,7 +10388,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 82, "metadata": {}, "outputs": [], "source": [ @@ -10227,7 +10397,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 83, "metadata": {}, "outputs": [], "source": [ @@ -10237,7 +10407,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 84, "metadata": {}, "outputs": [], "source": [ @@ -10257,7 +10427,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 85, "metadata": {}, "outputs": [ { @@ -10288,9 +10458,10 @@ " Moved\n", " Type\n", " Continent\n", + " Number of times repeated_x\n", " Group\n", " Level\n", - " Number of times repeated\n", + " Number of times repeated_y\n", " \n", " \n", " \n", @@ -10303,6 +10474,7 @@ " 1\n", " Does not apply\n", " Europe\n", + " 22\n", " Demography\n", " secondary\n", " 40\n", @@ -10316,6 +10488,7 @@ " 3\n", " Does not apply\n", " Europe\n", + " 22\n", " Demography\n", " secondary\n", " 40\n", @@ -10329,6 +10502,7 @@ " 13\n", " Does not apply\n", " Europe\n", + " 22\n", " Demography\n", " secondary\n", " 40\n", @@ -10342,6 +10516,7 @@ " 8\n", " Does not apply\n", " Europe\n", + " 22\n", " Demography\n", " secondary\n", " 40\n", @@ -10355,6 +10530,7 @@ " 21\n", " Does not apply\n", " Europe\n", + " 22\n", " Demography\n", " secondary\n", " 40\n", @@ -10371,6 +10547,7 @@ " ...\n", " ...\n", " ...\n", + " ...\n", " \n", " \n", " 6640\n", @@ -10381,6 +10558,7 @@ " 5\n", " Does not apply\n", " Latam\n", + " 11\n", " Demoraphy\n", " secondary\n", " 21\n", @@ -10394,6 +10572,7 @@ " 1\n", " Does not apply\n", " Latam\n", + " 11\n", " Demoraphy\n", " secondary\n", " 21\n", @@ -10407,6 +10586,7 @@ " 2\n", " Does not apply\n", " Latam\n", + " 11\n", " Demoraphy\n", " secondary\n", " 21\n", @@ -10420,6 +10600,7 @@ " 21\n", " Does not apply\n", " Latam\n", + " 11\n", " Demoraphy\n", " secondary\n", " 21\n", @@ -10433,13 +10614,14 @@ " 13\n", " Does not apply\n", " Latam\n", + " 11\n", " Demoraphy\n", " secondary\n", " 21\n", " \n", " \n", "\n", - "

6645 rows × 10 columns

\n", + "

6645 rows × 11 columns

\n", "" ], "text/plain": [ @@ -10456,36 +10638,49 @@ "6643 Completeness of birth registration (%) 0.963636 \n", "6644 Completeness of birth registration (%) 0.789474 \n", "\n", - " Behaviour Country Moved Type Continent Group Level \\\n", - "0 Negative DEU 1 Does not apply Europe Demography secondary \n", - "1 Negative SWE 3 Does not apply Europe Demography secondary \n", - "2 Negative GBR 13 Does not apply Europe Demography secondary \n", - "3 Negative HRV 8 Does not apply Europe Demography secondary \n", - "4 Negative POL 21 Does not apply Europe Demography secondary \n", - "... ... ... ... ... ... ... ... \n", - "6640 Positive PER 5 Does not apply Latam Demoraphy secondary \n", - "6641 Negative VEN 1 Does not apply Latam Demoraphy secondary \n", - "6642 Positive COL 2 Does not apply Latam Demoraphy secondary \n", - "6643 Positive PAN 21 Does not apply Latam Demoraphy secondary \n", - "6644 Positive CRI 13 Does not apply Latam Demoraphy secondary \n", - "\n", - " Number of times repeated \n", - "0 40 \n", - "1 40 \n", - "2 40 \n", - "3 40 \n", - "4 40 \n", - "... ... \n", - "6640 21 \n", - "6641 21 \n", - "6642 21 \n", - "6643 21 \n", - "6644 21 \n", - "\n", - "[6645 rows x 10 columns]" + " Behaviour Country Moved Type Continent \\\n", + "0 Negative DEU 1 Does not apply Europe \n", + "1 Negative SWE 3 Does not apply Europe \n", + "2 Negative GBR 13 Does not apply Europe \n", + "3 Negative HRV 8 Does not apply Europe \n", + "4 Negative POL 21 Does not apply Europe \n", + "... ... ... ... ... ... \n", + "6640 Positive PER 5 Does not apply Latam \n", + "6641 Negative VEN 1 Does not apply Latam \n", + "6642 Positive COL 2 Does not apply Latam \n", + "6643 Positive PAN 21 Does not apply Latam \n", + "6644 Positive CRI 13 Does not apply Latam \n", + "\n", + " Number of times repeated_x Group Level \\\n", + "0 22 Demography secondary \n", + "1 22 Demography secondary \n", + "2 22 Demography secondary \n", + "3 22 Demography secondary \n", + "4 22 Demography secondary \n", + "... ... ... ... \n", + "6640 11 Demoraphy secondary \n", + "6641 11 Demoraphy secondary \n", + "6642 11 Demoraphy secondary \n", + "6643 11 Demoraphy secondary \n", + "6644 11 Demoraphy secondary \n", + "\n", + " Number of times repeated_y \n", + "0 40 \n", + "1 40 \n", + "2 40 \n", + "3 40 \n", + "4 40 \n", + "... ... \n", + "6640 21 \n", + "6641 21 \n", + "6642 21 \n", + "6643 21 \n", + "6644 21 \n", + "\n", + "[6645 rows x 11 columns]" ] }, - "execution_count": 84, + "execution_count": 85, "metadata": {}, "output_type": "execute_result" } @@ -10526,9 +10721,218 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 86, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/javascript": "/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */\n!function(e,t){\"use strict\";\"object\"==typeof module&&\"object\"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw 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Loading... (need help?)
\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "from itables import init_notebook_mode,show\n", "\n", @@ -10554,7 +10958,7 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 87, "metadata": {}, "outputs": [ { @@ -10603,7 +11007,7 @@ "0 Negative 1922" ] }, - "execution_count": 85, + "execution_count": 87, "metadata": {}, "output_type": "execute_result" } @@ -10622,7 +11026,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 88, "metadata": {}, "outputs": [ { @@ -10683,7 +11087,7 @@ "0 Cuadratic 253" ] }, - "execution_count": 76, + "execution_count": 88, "metadata": {}, "output_type": "execute_result" } @@ -10710,7 +11114,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 89, "metadata": {}, "outputs": [ { @@ -10795,7 +11199,7 @@ "4 3 338" ] }, - "execution_count": 78, + "execution_count": 89, "metadata": {}, "output_type": "execute_result" } @@ -10828,7 +11232,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 90, "metadata": {}, "outputs": [], "source": [ @@ -10851,7 +11255,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 92, "metadata": {}, "outputs": [ { @@ -12011,6 +12415,7 @@ ], "layout": { "barmode": "relative", + "height": 700, "legend": { "title": { "text": "Group" @@ -12389,10 +12794,11 @@ ], "scatter": [ { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } }, "type": "scatter" } @@ -13985,7 +14391,6 @@ "source": [ "#COUNT HISTOGRAM: Graph for seeing the frequency of the primary indicators for each region.\n", "selected_primary=final.loc[final['Level']=='primary']\n", - "selected_primary=selected_primary.loc[selected_primary['Number of times repeated']>=11]\n", "\n", "fig=px.histogram(selected_primary,x='Indicator',histfunc=\"count\",height=700,color='Group',text_auto=True,title=\"Indicators frequency by continents\").update_xaxes(categoryorder=\"total descending\")\n", "continents=list(selected_primary['Continent'].unique())\n", @@ -14024,86 +14429,29212 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#TREEMAP: Graph for seeing the correlation of each indicator in each country.\n", - "#To resolve args[], but it works.\n", - "\n", - "fig2=px.treemap(selected_primary,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu')\n", - "\n", - "indics=list(selected_primary['Indicator'].unique())\n", - "buttons = []\n", - "for indic in indics:\n", - " selected_primary_i = selected_primary.loc[(selected_primary['Indicator'] == indic)]\n", - " fig_indicator = px.treemap(selected_primary_i,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman')\n", - " buttons.append(\n", - " dict(\n", - " label=indic,\n", - " method=\"update\",\n", - " args=[]\n", - " )\n", - " )\n", - "\n", - "fig2.update_layout(\n", - " updatemenus=[\n", - " dict(\n", - " type=\"dropdown\",\n", - " direction=\"down\",\n", - " showactive=True,\n", - " buttons=buttons\n", - " )\n", - " ]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#TREEMAP: Graph for seeing the correlation of each indicator in each country.\n", - "\n", - "#By indicator.\n", - "\n", - "fig2=px.treemap(selected_primary,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu_r')\n", - "\n", - "fig2.show()\n", - "\n", - "#By continent\n", - "\n", - "fig2d=px.treemap(selected_primary,path=['Continent','Country','Group'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu_r')\n", - "fig2d.show()\n", - "\n", - "#By group of interest\n", - "\n", - "fig2dd=px.treemap(selected_primary,path=['Group','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu_r')\n", - "\n", - "fig2dd.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "execution_count": 93, "metadata": {}, - "outputs": [], - "source": [ - "\n", - "lastdf=final.dropna()\n", - "\n", - "lastdf.isna().sum()\n", - "\n", - "from ipywidgets import widgets, HBox\n", - "\n", - "out = widgets.Output()\n", - "\n", - "def output_treemap(path):\n", - "\n", - " figA = px.treemap(lastdf, path=path, values='R^2 Spearman',\n", - "\n", - " color='R^2 Spearman',\n", + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "branchvalues": "total", + "customdata": [ + [ + 0.9194369973190348 + ], + [ + 0.9150177303560064 + ], + [ + 0.9832058480308432 + ], + [ + 0.9792614678275988 + ], + [ + 0.9104552048233484 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expenditure (current US$)/Europe/GBR", + "Industry (including construction), value added (current US$)/Europe/GBR", + "Number of deaths ages 5-9 years/Europe/GBR", + "Number of infant deaths/Europe/GBR", + "Population in largest city/Europe/GBR", + "Prevalence of current tobacco use (% of adults)/Europe/GBR", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/GBR", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/GBR", + "Renewable internal freshwater resources per capita (cubic meters)/Europe/GBR", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe/GBR", + "Access to electricity (% of population)/South Africa/GHA", + "Consumer price index (2010 = 100)/South Africa/GHA", + "Current health expenditure per capita (current US$)/South Africa/GHA", + "Export value index (2000 = 100)/South Africa/GHA", + "Fixed broadband subscriptions (per 100 people)/South Africa/GHA", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/South Africa/GHA", + "GNI (current US$)/South Africa/GHA", + "Gross value added at basic prices (GVA) (current US$)/South Africa/GHA", + "Households and NPISHs Final consumption expenditure (current US$)/South Africa/GHA", + "Industry (including construction), value added (current US$)/South Africa/GHA", + "Number of deaths ages 5-9 years/South Africa/GHA", + "Number of infant deaths/South Africa/GHA", + "Population in largest city/South Africa/GHA", + "Prevalence of current tobacco use (% of adults)/South Africa/GHA", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/South Africa/GHA", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/GHA", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/South Africa/GHA", + "Agricultural land (% of land area)/Europe/GRC", + "CO2 emissions (kg per PPP $ of GDP)/Europe/GRC", + "Consumer price index (2010 = 100)/Europe/GRC", + "Current health expenditure (% of GDP)/Europe/GRC", + "Current health expenditure per capita (current US$)/Europe/GRC", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/GRC", + "Fixed broadband subscriptions (per 100 people)/Europe/GRC", + "Gross value added at basic prices (GVA) (current US$)/Europe/GRC", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/GRC", + "Industry (including construction), value added (current US$)/Europe/GRC", + "Number of deaths ages 5-9 years/Europe/GRC", + "Number of infant deaths/Europe/GRC", + "Population in largest city/Europe/GRC", + "Prevalence of current tobacco use (% of adults)/Europe/GRC", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/GRC", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/GRC", + "CO2 emissions (kg per PPP $ of GDP)/Europe/HRV", + "Current health expenditure per capita (current US$)/Europe/HRV", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/HRV", + "Fixed broadband subscriptions (per 100 people)/Europe/HRV", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/HRV", + "GNI (current US$)/Europe/HRV", + "Gross value added at basic prices (GVA) (current US$)/Europe/HRV", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/HRV", + "Industry (including construction), value added (current US$)/Europe/HRV", + "Number of deaths ages 5-9 years/Europe/HRV", + "Number of infant deaths/Europe/HRV", + "Population in largest city/Europe/HRV", + "Prevalence of current tobacco use (% of adults)/Europe/HRV", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe/HRV", + "Access to electricity (% of population)/Asia/IDN", + "Agricultural land (% of land area)/Asia/IDN", + "CO2 emissions (kg per PPP $ of GDP)/Asia/IDN", + "Consumer price index (2010 = 100)/Asia/IDN", + "Current health expenditure (% of GDP)/Asia/IDN", + "Current health expenditure per capita (current US$)/Asia/IDN", + "Employment in industry (% of total employment) (modeled ILO estimate)/Asia/IDN", + "Export value index (2000 = 100)/Asia/IDN", + "Fixed broadband subscriptions (per 100 people)/Asia/IDN", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/IDN", + "GNI (current US$)/Asia/IDN", + "Gross value added at basic prices (GVA) (current US$)/Asia/IDN", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/IDN", + "Industry (including construction), value added (current US$)/Asia/IDN", + "Number of deaths ages 5-9 years/Asia/IDN", + "Number of infant deaths/Asia/IDN", + "Population in largest city/Asia/IDN", + "Prevalence of current tobacco use (% of adults)/Asia/IDN", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/IDN", + "Suicide mortality rate (per 100,000 population)/Asia/IDN", + "Access to electricity (% of population)/Asia/IND", + "Agricultural land (% of land area)/Asia/IND", + "CO2 emissions (kg per PPP $ of GDP)/Asia/IND", + "Consumer price index (2010 = 100)/Asia/IND", + "Current health expenditure (% of GDP)/Asia/IND", + "Current health expenditure per capita (current US$)/Asia/IND", + "Employment in industry (% of total employment) (modeled ILO estimate)/Asia/IND", + "Export value index (2000 = 100)/Asia/IND", + "Fixed broadband subscriptions (per 100 people)/Asia/IND", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/IND", + "GNI (current US$)/Asia/IND", + "Gross value added at basic prices (GVA) (current US$)/Asia/IND", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/IND", + "Industry (including construction), value added (current US$)/Asia/IND", + "Number of deaths ages 5-9 years/Asia/IND", + "Number of infant deaths/Asia/IND", + "Population in largest city/Asia/IND", + "Prevalence of current tobacco use (% of adults)/Asia/IND", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Asia/IND", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/IND", + "Suicide mortality rate (per 100,000 population)/Asia/IND", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Asia/IND", + "Access to electricity (% of population)/Persian Gulf/IRQ", + "Export value index (2000 = 100)/Persian Gulf/IRQ", + "GNI (current US$)/Persian Gulf/IRQ", + "Gross value added at basic prices (GVA) (current US$)/Persian Gulf/IRQ", + "Households and NPISHs Final consumption expenditure (current US$)/Persian Gulf/IRQ", + "Industry (including construction), value added (current US$)/Persian Gulf/IRQ", + "Number of infant deaths/Persian Gulf/IRQ", + "Prevalence of current tobacco use (% of adults)/Persian Gulf/IRQ", + "Agricultural land (% of land area)/North Africa/ISR", + "CO2 emissions (kg per PPP $ of GDP)/North Africa/ISR", + "Consumer price index (2010 = 100)/North Africa/ISR", + "Current health expenditure per capita (current US$)/North Africa/ISR", + "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa/ISR", + "Fixed broadband subscriptions (per 100 people)/North Africa/ISR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa/ISR", + "GNI (current US$)/North Africa/ISR", + "Gross value added at basic prices (GVA) (current US$)/North Africa/ISR", + "Households and NPISHs Final consumption expenditure (current US$)/North Africa/ISR", + "Industry (including construction), value added (current US$)/North Africa/ISR", + "Number of deaths ages 5-9 years/North Africa/ISR", + "Number of infant deaths/North Africa/ISR", + "Population in largest city/North Africa/ISR", + "Prevalence of current tobacco use (% of adults)/North Africa/ISR", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/North Africa/ISR", + "Ratio of female to male labor force participation rate (%) (national estimate)/North Africa/ISR", + "Renewable internal freshwater resources per capita (cubic meters)/North Africa/ISR", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/North Africa/ISR", + "Agricultural land (% of land area)/Asia/KOR", + "CO2 emissions (kg per PPP $ of GDP)/Asia/KOR", + "Consumer price index (2010 = 100)/Asia/KOR", + "Current health expenditure (% of GDP)/Asia/KOR", + "Current health expenditure per capita (current US$)/Asia/KOR", + "Employment in industry (% of total employment) (modeled ILO estimate)/Asia/KOR", + "Export value index (2000 = 100)/Asia/KOR", + "Fixed broadband subscriptions (per 100 people)/Asia/KOR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/KOR", + "GNI (current US$)/Asia/KOR", + "Gross value added at basic prices (GVA) (current US$)/Asia/KOR", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/KOR", + "Industry (including construction), value added (current US$)/Asia/KOR", + "Number of deaths ages 5-9 years/Asia/KOR", + "Number of infant deaths/Asia/KOR", + "Prevalence of current tobacco use (% of adults)/Asia/KOR", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Asia/KOR", + "Ratio of female to male labor force participation rate (%) (national estimate)/Asia/KOR", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/KOR", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Asia/KOR", + "Access to electricity (% of population)/South Africa/LBR", + "Agricultural land (% of land area)/South Africa/LBR", + "Consumer price index (2010 = 100)/South Africa/LBR", + "Current health expenditure per capita (current US$)/South Africa/LBR", + "Fixed broadband subscriptions (per 100 people)/South Africa/LBR", + "GNI (current US$)/South Africa/LBR", + "Industry (including construction), value added (current US$)/South Africa/LBR", + "Number of infant deaths/South Africa/LBR", + "Prevalence of current tobacco use (% of adults)/South Africa/LBR", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/LBR", + "Access to electricity (% of population)/North Africa/MAR", + "CO2 emissions (kg per PPP $ of GDP)/North Africa/MAR", + "Consumer price index (2010 = 100)/North Africa/MAR", + "Current health expenditure per capita (current US$)/North Africa/MAR", + "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa/MAR", + "Export value index (2000 = 100)/North Africa/MAR", + "Fixed broadband subscriptions (per 100 people)/North Africa/MAR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa/MAR", + "GNI (current US$)/North Africa/MAR", + "Gross value added at basic prices (GVA) (current US$)/North Africa/MAR", + "Households and NPISHs Final consumption expenditure (current US$)/North Africa/MAR", + "Industry (including construction), value added (current US$)/North Africa/MAR", + "Number of deaths ages 5-9 years/North Africa/MAR", + "Number of infant deaths/North Africa/MAR", + "Population in largest city/North Africa/MAR", + "Prevalence of current tobacco use (% of adults)/North Africa/MAR", + "Renewable internal freshwater resources per capita (cubic meters)/North Africa/MAR", + "Suicide mortality rate (per 100,000 population)/North Africa/MAR", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/North Africa/MAR", + "Access to electricity (% of population)/Latam/MEX", + "CO2 emissions (kg per PPP $ of GDP)/Latam/MEX", + "Consumer price index (2010 = 100)/Latam/MEX", + "Current health expenditure per capita (current US$)/Latam/MEX", + "Export value index (2000 = 100)/Latam/MEX", + "Fixed broadband subscriptions (per 100 people)/Latam/MEX", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam/MEX", + "GNI (current US$)/Latam/MEX", + "Gross value added at basic prices (GVA) (current US$)/Latam/MEX", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/MEX", + "Industry (including construction), value added (current US$)/Latam/MEX", + "Number of deaths ages 5-9 years/Latam/MEX", + "Number of infant deaths/Latam/MEX", + "Population in largest city/Latam/MEX", + "Prevalence of current tobacco use (% of adults)/Latam/MEX", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam/MEX", + "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/MEX", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/MEX", + "Suicide mortality rate (per 100,000 population)/Latam/MEX", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/MEX", + "Access to electricity (% of population)/South Africa/MOZ", + "Agricultural land (% of land area)/South Africa/MOZ", + "Consumer price index (2010 = 100)/South Africa/MOZ", + "Current health expenditure (% of GDP)/South Africa/MOZ", + "Current health expenditure per capita (current US$)/South Africa/MOZ", + "Employment in industry (% of total employment) (modeled ILO estimate)/South Africa/MOZ", + "Export value index (2000 = 100)/South Africa/MOZ", + "Fixed broadband subscriptions (per 100 people)/South Africa/MOZ", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/South Africa/MOZ", + "GNI (current US$)/South Africa/MOZ", + "Gross value added at basic prices (GVA) (current US$)/South Africa/MOZ", + "Households and NPISHs Final consumption expenditure (current US$)/South Africa/MOZ", + "Industry (including construction), value added (current US$)/South Africa/MOZ", + "Number of deaths ages 5-9 years/South Africa/MOZ", + "Number of infant deaths/South Africa/MOZ", + "Population in largest city/South Africa/MOZ", + "Prevalence of current tobacco use (% of adults)/South Africa/MOZ", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/South Africa/MOZ", + "Ratio of female to male labor force participation rate (%) (national estimate)/South Africa/MOZ", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/MOZ", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/South Africa/MOZ", + "Access to electricity (% of population)/South Africa/NGA", + "Agricultural land (% of land area)/South Africa/NGA", + "CO2 emissions (kg per PPP $ of GDP)/South Africa/NGA", + "Consumer price index (2010 = 100)/South Africa/NGA", + "Current health expenditure per capita (current US$)/South Africa/NGA", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/South Africa/NGA", + "GNI (current US$)/South Africa/NGA", + "Gross value added at basic prices (GVA) (current US$)/South Africa/NGA", + "Households and NPISHs Final consumption expenditure (current US$)/South Africa/NGA", + "Industry (including construction), value added (current US$)/South Africa/NGA", + "Number of deaths ages 5-9 years/South Africa/NGA", + "Population in largest city/South Africa/NGA", + "Prevalence of current tobacco use (% of adults)/South Africa/NGA", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/South Africa/NGA", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/NGA", + "Suicide mortality rate (per 100,000 population)/South Africa/NGA", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/South Africa/NGA", + "Agricultural land (% of land area)/Europe/NLD", + "CO2 emissions (kg per PPP $ of GDP)/Europe/NLD", + "Consumer price index (2010 = 100)/Europe/NLD", + "Current health expenditure (% of GDP)/Europe/NLD", + "Current health expenditure per capita (current US$)/Europe/NLD", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/NLD", + "Export value index (2000 = 100)/Europe/NLD", + "Fixed broadband subscriptions (per 100 people)/Europe/NLD", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/NLD", + "GNI (current US$)/Europe/NLD", + "Gross value added at basic prices (GVA) (current US$)/Europe/NLD", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/NLD", + "Industry (including construction), value added (current US$)/Europe/NLD", + "Number of deaths ages 5-9 years/Europe/NLD", + "Number of infant deaths/Europe/NLD", + "Population in largest city/Europe/NLD", + "Prevalence of current tobacco use (% of adults)/Europe/NLD", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/NLD", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/NLD", + "Renewable internal freshwater resources per capita (cubic meters)/Europe/NLD", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe/NLD", + "CO2 emissions (kg per PPP $ of GDP)/Persian Gulf/OMN", + "Consumer price index (2010 = 100)/Persian Gulf/OMN", + "Current health expenditure per capita (current US$)/Persian Gulf/OMN", + "Employment in industry (% of total employment) (modeled ILO estimate)/Persian Gulf/OMN", + "Export value index (2000 = 100)/Persian Gulf/OMN", + "Fixed broadband subscriptions (per 100 people)/Persian Gulf/OMN", + "GNI (current US$)/Persian Gulf/OMN", + "Gross value added at basic prices (GVA) (current US$)/Persian Gulf/OMN", + "Households and NPISHs Final consumption expenditure (current US$)/Persian Gulf/OMN", + "Industry (including construction), value added (current US$)/Persian Gulf/OMN", + "Number of deaths ages 5-9 years/Persian Gulf/OMN", + "Number of infant deaths/Persian Gulf/OMN", + "Population in largest city/Persian Gulf/OMN", + "Prevalence of current tobacco use (% of adults)/Persian Gulf/OMN", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Persian Gulf/OMN", + "Ratio of female to male labor force participation rate (%) (national estimate)/Persian Gulf/OMN", + "Renewable internal freshwater resources per capita (cubic meters)/Persian Gulf/OMN", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Persian Gulf/OMN", + "Access to electricity (% of population)/Latam/PAN", + "Agricultural land (% of land area)/Latam/PAN", + "CO2 emissions (kg per PPP $ of GDP)/Latam/PAN", + "Consumer price index (2010 = 100)/Latam/PAN", + "Current health expenditure per capita (current US$)/Latam/PAN", + "Export value index (2000 = 100)/Latam/PAN", + "Fixed broadband subscriptions (per 100 people)/Latam/PAN", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam/PAN", + "GNI (current US$)/Latam/PAN", + "Gross value added at basic prices (GVA) (current US$)/Latam/PAN", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/PAN", + "Industry (including construction), value added (current US$)/Latam/PAN", + "Number of deaths ages 5-9 years/Latam/PAN", + "Number of infant deaths/Latam/PAN", + "Population in largest city/Latam/PAN", + "Prevalence of current tobacco use (% of adults)/Latam/PAN", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam/PAN", + "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/PAN", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/PAN", + "Suicide mortality rate (per 100,000 population)/Latam/PAN", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/PAN", + "Access to electricity (% of population)/Latam/PER", + "CO2 emissions (kg per PPP $ of GDP)/Latam/PER", + "Consumer price index (2010 = 100)/Latam/PER", + "Current health expenditure (% of GDP)/Latam/PER", + "Current health expenditure per capita (current US$)/Latam/PER", + "Export value index (2000 = 100)/Latam/PER", + "Fixed broadband subscriptions (per 100 people)/Latam/PER", + "GNI (current US$)/Latam/PER", + "Gross value added at basic prices (GVA) (current US$)/Latam/PER", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/PER", + "Industry (including construction), value added (current US$)/Latam/PER", + "Number of deaths ages 5-9 years/Latam/PER", + "Number of infant deaths/Latam/PER", + "Population in largest city/Latam/PER", + "Prevalence of current tobacco use (% of adults)/Latam/PER", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/PER", + "Access to electricity (% of population)/Asia/PHL", + "Agricultural land (% of land area)/Asia/PHL", + "Consumer price index (2010 = 100)/Asia/PHL", + "Current health expenditure per capita (current US$)/Asia/PHL", + "Export value index (2000 = 100)/Asia/PHL", + "Fixed broadband subscriptions (per 100 people)/Asia/PHL", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/PHL", + "GNI (current US$)/Asia/PHL", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/PHL", + "Industry (including construction), value added (current US$)/Asia/PHL", + "Number of infant deaths/Asia/PHL", + "Population in largest city/Asia/PHL", + "Prevalence of current tobacco use (% of adults)/Asia/PHL", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/PHL", + "Suicide mortality rate (per 100,000 population)/Asia/PHL", + "Agricultural land (% of land area)/Europe/POL", + "CO2 emissions (kg per PPP $ of GDP)/Europe/POL", + "Consumer price index (2010 = 100)/Europe/POL", + "Current health expenditure (% of GDP)/Europe/POL", + "Current health expenditure per capita (current US$)/Europe/POL", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/POL", + "Export value index (2000 = 100)/Europe/POL", + "Fixed broadband subscriptions (per 100 people)/Europe/POL", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/POL", + "GNI (current US$)/Europe/POL", + "Gross value added at basic prices (GVA) (current US$)/Europe/POL", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/POL", + "Industry (including construction), value added (current US$)/Europe/POL", + "Number of deaths ages 5-9 years/Europe/POL", + "Number of infant deaths/Europe/POL", + "Population in largest city/Europe/POL", + "Prevalence of current tobacco use (% of adults)/Europe/POL", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/POL", + "Renewable internal freshwater resources per capita (cubic meters)/Europe/POL", + "Suicide mortality rate (per 100,000 population)/Europe/POL", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe/POL", + "Consumer price index (2010 = 100)/Persian Gulf/QAT", + "Current health expenditure per capita (current US$)/Persian Gulf/QAT", + "Export value index (2000 = 100)/Persian Gulf/QAT", + "Fixed broadband subscriptions (per 100 people)/Persian Gulf/QAT", + "GNI (current US$)/Persian Gulf/QAT", + "Households and NPISHs Final consumption expenditure (current US$)/Persian Gulf/QAT", + "Number of deaths ages 5-9 years/Persian Gulf/QAT", + "Population in largest city/Persian Gulf/QAT", + "Prevalence of current tobacco use (% of adults)/Persian Gulf/QAT", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Persian Gulf/QAT", + "Ratio of female to male labor force participation rate (%) (national estimate)/Persian Gulf/QAT", + "Renewable internal freshwater resources per capita (cubic meters)/Persian Gulf/QAT", + "Suicide mortality rate (per 100,000 population)/Persian Gulf/QAT", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Persian Gulf/QAT", + "Consumer price index (2010 = 100)/Persian Gulf/SAU", + "Current health expenditure per capita (current US$)/Persian Gulf/SAU", + "Employment in industry (% of total employment) (modeled ILO estimate)/Persian Gulf/SAU", + "Export value index (2000 = 100)/Persian Gulf/SAU", + "Fixed broadband subscriptions (per 100 people)/Persian Gulf/SAU", + "GNI (current US$)/Persian Gulf/SAU", + "Gross value added at basic prices (GVA) (current US$)/Persian Gulf/SAU", + "Households and NPISHs Final consumption expenditure (current US$)/Persian Gulf/SAU", + "Industry (including construction), value added (current US$)/Persian Gulf/SAU", + "Number of deaths ages 5-9 years/Persian Gulf/SAU", + "Number of infant deaths/Persian Gulf/SAU", + "Population in largest city/Persian Gulf/SAU", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Persian Gulf/SAU", + "Ratio of female to male labor force 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ILO estimate)/Latam/CHL", + "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/CHL", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/CHL", + "Suicide mortality rate (per 100,000 population)/Latam/CHL", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/CHL", + "Access to electricity (% of population)/Pair/CHN", + "Agricultural land (% of land area)/Pair/CHN", + "CO2 emissions (kg per PPP $ of GDP)/Pair/CHN", + "Consumer price index (2010 = 100)/Pair/CHN", + "Current health expenditure (% of GDP)/Pair/CHN", + "Current health expenditure per capita (current US$)/Pair/CHN", + "Employment in industry (% of total employment) (modeled ILO estimate)/Pair/CHN", + "Export value index (2000 = 100)/Pair/CHN", + "Fixed broadband subscriptions (per 100 people)/Pair/CHN", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Pair/CHN", + "GNI (current US$)/Pair/CHN", + "Households and NPISHs Final consumption expenditure (current US$)/Pair/CHN", + "Industry (including construction), value added (current US$)/Pair/CHN", + "Number of deaths ages 5-9 years/Pair/CHN", + "Number of infant deaths/Pair/CHN", + "Population in largest city/Pair/CHN", + "Prevalence of current tobacco use (% of adults)/Pair/CHN", + "Ratio of female to male labor force participation rate (%) (national estimate)/Pair/CHN", + "Renewable internal freshwater resources per capita (cubic meters)/Pair/CHN", + "Suicide mortality rate (per 100,000 population)/Pair/CHN", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Pair/CHN", + "Access to electricity (% of population)/South Africa/CMR", + "Agricultural land (% of land area)/South Africa/CMR", + "Consumer price index (2010 = 100)/South Africa/CMR", + "Current health expenditure (% of GDP)/South Africa/CMR", + "Current health expenditure per capita (current US$)/South Africa/CMR", + "Employment in industry (% of total employment) (modeled ILO estimate)/South Africa/CMR", + "Fixed broadband subscriptions (per 100 people)/South Africa/CMR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/South Africa/CMR", + "GNI (current US$)/South Africa/CMR", + "Gross value added at basic prices (GVA) (current US$)/South Africa/CMR", + "Households and NPISHs Final consumption expenditure (current US$)/South Africa/CMR", + "Industry (including construction), value added (current US$)/South Africa/CMR", + "Number of deaths ages 5-9 years/South Africa/CMR", + "Number of infant deaths/South Africa/CMR", + "Population in largest city/South Africa/CMR", + "Prevalence of current tobacco use (% of adults)/South Africa/CMR", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/CMR", + "Access to electricity (% of population)/Latam/COL", + "CO2 emissions (kg per PPP $ of GDP)/Latam/COL", + "Consumer price index (2010 = 100)/Latam/COL", + "Current health expenditure (% of GDP)/Latam/COL", + "Current health expenditure per capita (current US$)/Latam/COL", + "Export value index (2000 = 100)/Latam/COL", + "Fixed broadband subscriptions (per 100 people)/Latam/COL", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam/COL", + "GNI (current US$)/Latam/COL", + "Gross value added at basic prices (GVA) (current US$)/Latam/COL", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/COL", + "Industry (including construction), value added (current US$)/Latam/COL", + "Number of deaths ages 5-9 years/Latam/COL", + "Number of infant deaths/Latam/COL", + "Population in largest city/Latam/COL", + "Prevalence of current tobacco use (% of adults)/Latam/COL", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/COL", + "Suicide mortality rate (per 100,000 population)/Latam/COL", + "Access to electricity (% of population)/Latam/CRI", + "Agricultural land (% of land area)/Latam/CRI", + "CO2 emissions (kg per PPP $ of GDP)/Latam/CRI", + "Consumer price index (2010 = 100)/Latam/CRI", + "Current health expenditure (% of GDP)/Latam/CRI", + "Current health expenditure per capita (current US$)/Latam/CRI", + "Employment in industry (% of total employment) (modeled ILO estimate)/Latam/CRI", + "Export value index (2000 = 100)/Latam/CRI", + "Fixed broadband subscriptions (per 100 people)/Latam/CRI", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam/CRI", + "GNI (current US$)/Latam/CRI", + "Gross value added at basic prices (GVA) (current US$)/Latam/CRI", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/CRI", + "Industry (including construction), value added (current US$)/Latam/CRI", + "Number of deaths ages 5-9 years/Latam/CRI", + "Number of infant deaths/Latam/CRI", + "Population in largest city/Latam/CRI", + "Prevalence of current tobacco use (% of adults)/Latam/CRI", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam/CRI", + "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/CRI", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/CRI", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/CRI", + "Agricultural land (% of land area)/Europe/DEU", + "CO2 emissions (kg per PPP $ of GDP)/Europe/DEU", + "Consumer price index (2010 = 100)/Europe/DEU", + "Current health expenditure per capita (current US$)/Europe/DEU", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/DEU", + "Export value index (2000 = 100)/Europe/DEU", + "Fixed broadband subscriptions (per 100 people)/Europe/DEU", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/DEU", + "GNI (current US$)/Europe/DEU", + "Gross value added at basic prices (GVA) (current US$)/Europe/DEU", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/DEU", + "Industry (including construction), value added (current US$)/Europe/DEU", + "Number of deaths ages 5-9 years/Europe/DEU", + "Prevalence of current tobacco use (% of adults)/Europe/DEU", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/DEU", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/DEU", + "Agricultural land (% of land area)/North Africa/DZA", + "Consumer price index (2010 = 100)/North Africa/DZA", + "Current health expenditure per capita (current US$)/North Africa/DZA", + "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa/DZA", + "Export value index (2000 = 100)/North Africa/DZA", + "Fixed broadband subscriptions (per 100 people)/North Africa/DZA", + "GNI (current US$)/North Africa/DZA", + "Gross value added at basic prices (GVA) (current US$)/North Africa/DZA", + "Households and NPISHs Final consumption expenditure (current US$)/North Africa/DZA", + "Industry (including construction), value added (current US$)/North Africa/DZA", + "Number of deaths ages 5-9 years/North Africa/DZA", + "Population in largest city/North Africa/DZA", + "Prevalence of current tobacco use (% of adults)/North Africa/DZA", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/North Africa/DZA", + "Ratio of female to male labor force participation rate (%) (national estimate)/North Africa/DZA", + "Renewable internal freshwater resources per capita (cubic meters)/North Africa/DZA", + "Suicide mortality rate (per 100,000 population)/North Africa/DZA", + "Access to electricity (% of population)/North Africa/EGY", + "Agricultural land (% of land area)/North Africa/EGY", + "CO2 emissions (kg per PPP $ of GDP)/North Africa/EGY", + "Consumer price index (2010 = 100)/North Africa/EGY", + "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa/EGY", + "Fixed broadband subscriptions (per 100 people)/North Africa/EGY", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa/EGY", + "GNI (current US$)/North Africa/EGY", + "Gross value added at basic prices (GVA) (current US$)/North Africa/EGY", + "Households and NPISHs Final consumption expenditure (current US$)/North Africa/EGY", + "Industry (including construction), value added (current US$)/North Africa/EGY", + "Number of deaths ages 5-9 years/North Africa/EGY", + "Number of infant deaths/North Africa/EGY", + "Population in largest city/North Africa/EGY", + "Renewable internal freshwater resources per capita (cubic meters)/North Africa/EGY", + "Suicide mortality rate (per 100,000 population)/North Africa/EGY", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/North Africa/EGY", + "Agricultural land (% of land area)/Europe/ESP", + "CO2 emissions (kg per PPP $ of GDP)/Europe/ESP", + "Consumer price index (2010 = 100)/Europe/ESP", + "Current health expenditure (% of GDP)/Europe/ESP", + "Current health expenditure per capita (current US$)/Europe/ESP", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/ESP", + "Export value index (2000 = 100)/Europe/ESP", + "Fixed broadband subscriptions (per 100 people)/Europe/ESP", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/ESP", + "GNI (current US$)/Europe/ESP", + "Gross value added at basic prices (GVA) (current US$)/Europe/ESP", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/ESP", + "Industry (including construction), value added (current US$)/Europe/ESP", + "Number of deaths ages 5-9 years/Europe/ESP", + "Population in largest city/Europe/ESP", + "Prevalence of current tobacco use (% of adults)/Europe/ESP", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/ESP", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/ESP", + "Renewable internal freshwater resources per capita (cubic meters)/Europe/ESP", + "Agricultural land (% of land area)/Europe/FRA", + "CO2 emissions (kg per PPP $ of GDP)/Europe/FRA", + "Consumer price index (2010 = 100)/Europe/FRA", + "Current health expenditure (% of GDP)/Europe/FRA", + "Current health expenditure per capita (current US$)/Europe/FRA", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/FRA", + "Export value index (2000 = 100)/Europe/FRA", + "Fixed broadband subscriptions (per 100 people)/Europe/FRA", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/FRA", + "GNI (current US$)/Europe/FRA", + "Gross value added at basic prices (GVA) (current US$)/Europe/FRA", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/FRA", + "Industry (including construction), value added (current US$)/Europe/FRA", + "Number of deaths ages 5-9 years/Europe/FRA", + "Number of infant deaths/Europe/FRA", + "Population in largest city/Europe/FRA", + "Prevalence of current tobacco use (% of adults)/Europe/FRA", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/FRA", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/FRA", + "Renewable internal freshwater resources per capita (cubic meters)/Europe/FRA", + "CO2 emissions (kg per PPP $ of GDP)/Europe/GBR", + "Consumer price index (2010 = 100)/Europe/GBR", + "Current health expenditure (% of GDP)/Europe/GBR", + "Current health expenditure per capita (current US$)/Europe/GBR", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/GBR", + "Export value index (2000 = 100)/Europe/GBR", + "Fixed broadband subscriptions (per 100 people)/Europe/GBR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/GBR", + "GNI (current US$)/Europe/GBR", + "Gross value added at basic prices (GVA) (current US$)/Europe/GBR", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/GBR", + "Industry (including construction), value added (current US$)/Europe/GBR", + "Number of deaths ages 5-9 years/Europe/GBR", + "Number of infant deaths/Europe/GBR", + "Population in largest city/Europe/GBR", + "Prevalence of current tobacco use (% of adults)/Europe/GBR", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/GBR", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/GBR", + "Renewable internal freshwater resources per capita (cubic meters)/Europe/GBR", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe/GBR", + "Access to electricity (% of population)/South Africa/GHA", + "Consumer price index (2010 = 100)/South Africa/GHA", + "Current health expenditure per capita (current US$)/South Africa/GHA", + "Export value index (2000 = 100)/South Africa/GHA", + "Fixed broadband subscriptions (per 100 people)/South Africa/GHA", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/South Africa/GHA", + "GNI (current US$)/South Africa/GHA", + "Gross value added at basic prices (GVA) (current US$)/South Africa/GHA", + "Households and NPISHs Final consumption expenditure (current US$)/South Africa/GHA", + "Industry (including construction), value added (current US$)/South Africa/GHA", + "Number of deaths ages 5-9 years/South Africa/GHA", + "Number of infant deaths/South Africa/GHA", + "Population in largest city/South Africa/GHA", + "Prevalence of current tobacco use (% of adults)/South Africa/GHA", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/South Africa/GHA", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/GHA", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/South Africa/GHA", + "Agricultural land (% of land area)/Europe/GRC", + "CO2 emissions (kg per PPP $ of GDP)/Europe/GRC", + "Consumer price index (2010 = 100)/Europe/GRC", + "Current health expenditure (% of GDP)/Europe/GRC", + "Current health expenditure per capita (current US$)/Europe/GRC", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/GRC", + "Fixed broadband subscriptions (per 100 people)/Europe/GRC", + "Gross value added at basic prices (GVA) (current US$)/Europe/GRC", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/GRC", + "Industry (including construction), value added (current US$)/Europe/GRC", + "Number of deaths ages 5-9 years/Europe/GRC", + "Number of infant deaths/Europe/GRC", + "Population in largest city/Europe/GRC", + "Prevalence of current tobacco use (% of adults)/Europe/GRC", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/GRC", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/GRC", + "CO2 emissions (kg per PPP $ of GDP)/Europe/HRV", + "Current health expenditure per capita (current US$)/Europe/HRV", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/HRV", + "Fixed broadband subscriptions (per 100 people)/Europe/HRV", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/HRV", + "GNI (current US$)/Europe/HRV", + "Gross value added at basic prices (GVA) (current US$)/Europe/HRV", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/HRV", + "Industry (including construction), value added (current US$)/Europe/HRV", + "Number of deaths ages 5-9 years/Europe/HRV", + "Number of infant deaths/Europe/HRV", + "Population in largest city/Europe/HRV", + "Prevalence of current tobacco use (% of adults)/Europe/HRV", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe/HRV", + "Access to electricity (% of population)/Asia/IDN", + "Agricultural land (% of land area)/Asia/IDN", + "CO2 emissions (kg per PPP $ of GDP)/Asia/IDN", + "Consumer price index (2010 = 100)/Asia/IDN", + "Current health expenditure (% of GDP)/Asia/IDN", + "Current health expenditure per capita (current US$)/Asia/IDN", + "Employment in industry (% of total employment) (modeled ILO estimate)/Asia/IDN", + "Export value index (2000 = 100)/Asia/IDN", + "Fixed broadband subscriptions (per 100 people)/Asia/IDN", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/IDN", + "GNI (current US$)/Asia/IDN", + "Gross value added at basic prices (GVA) (current US$)/Asia/IDN", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/IDN", + "Industry (including construction), value added (current US$)/Asia/IDN", + "Number of deaths ages 5-9 years/Asia/IDN", + "Number of infant deaths/Asia/IDN", + "Population in largest city/Asia/IDN", + "Prevalence of current tobacco use (% of adults)/Asia/IDN", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/IDN", + "Suicide mortality rate (per 100,000 population)/Asia/IDN", + "Access to electricity (% of population)/Asia/IND", + "Agricultural land (% of land area)/Asia/IND", + "CO2 emissions (kg per PPP $ of GDP)/Asia/IND", + "Consumer price index (2010 = 100)/Asia/IND", + "Current health expenditure (% of GDP)/Asia/IND", + "Current health expenditure per capita (current US$)/Asia/IND", + "Employment in industry (% of total employment) (modeled ILO estimate)/Asia/IND", + "Export value index (2000 = 100)/Asia/IND", + "Fixed broadband subscriptions (per 100 people)/Asia/IND", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/IND", + "GNI (current US$)/Asia/IND", + "Gross value added at basic prices (GVA) (current US$)/Asia/IND", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/IND", + "Industry (including construction), value added (current US$)/Asia/IND", + "Number of deaths ages 5-9 years/Asia/IND", + "Number of infant deaths/Asia/IND", + "Population in largest city/Asia/IND", + "Prevalence of current tobacco use (% of adults)/Asia/IND", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Asia/IND", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/IND", + "Suicide mortality rate (per 100,000 population)/Asia/IND", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Asia/IND", + "Access to electricity (% of population)/Persian Gulf/IRQ", + "Export value index (2000 = 100)/Persian Gulf/IRQ", + "GNI (current US$)/Persian Gulf/IRQ", + "Gross value added at basic prices (GVA) (current US$)/Persian Gulf/IRQ", + "Households and NPISHs Final consumption expenditure (current US$)/Persian Gulf/IRQ", + "Industry (including construction), value added (current US$)/Persian Gulf/IRQ", + "Number of infant deaths/Persian Gulf/IRQ", + "Prevalence of current tobacco use (% of adults)/Persian Gulf/IRQ", + "Agricultural land (% of land area)/North Africa/ISR", + "CO2 emissions (kg per PPP $ of GDP)/North Africa/ISR", + "Consumer price index (2010 = 100)/North Africa/ISR", + "Current health expenditure per capita (current US$)/North Africa/ISR", + "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa/ISR", + "Fixed broadband subscriptions (per 100 people)/North Africa/ISR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa/ISR", + "GNI (current US$)/North Africa/ISR", + "Gross value added at basic prices (GVA) (current US$)/North Africa/ISR", + "Households and NPISHs Final consumption expenditure (current US$)/North Africa/ISR", + "Industry (including construction), value added (current US$)/North Africa/ISR", + "Number of deaths ages 5-9 years/North Africa/ISR", + "Number of infant deaths/North Africa/ISR", + "Population in largest city/North Africa/ISR", + "Prevalence of current tobacco use (% of adults)/North Africa/ISR", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/North Africa/ISR", + "Ratio of female to male labor force participation rate (%) (national estimate)/North Africa/ISR", + "Renewable internal freshwater resources per capita (cubic meters)/North Africa/ISR", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/North Africa/ISR", + "Agricultural land (% of land area)/Asia/KOR", + "CO2 emissions (kg per PPP $ of GDP)/Asia/KOR", + "Consumer price index (2010 = 100)/Asia/KOR", + "Current health expenditure (% of GDP)/Asia/KOR", + "Current health expenditure per capita (current US$)/Asia/KOR", + "Employment in industry (% of total employment) (modeled ILO estimate)/Asia/KOR", + "Export value index (2000 = 100)/Asia/KOR", + "Fixed broadband subscriptions (per 100 people)/Asia/KOR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/KOR", + "GNI (current US$)/Asia/KOR", + "Gross value added at basic prices (GVA) (current US$)/Asia/KOR", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/KOR", + "Industry (including construction), value added (current US$)/Asia/KOR", + "Number of deaths ages 5-9 years/Asia/KOR", + "Number of infant deaths/Asia/KOR", + "Prevalence of current tobacco use (% of adults)/Asia/KOR", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Asia/KOR", + "Ratio of female to male labor force participation rate (%) (national estimate)/Asia/KOR", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/KOR", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Asia/KOR", + "Access to electricity (% of population)/South Africa/LBR", + "Agricultural land (% of land area)/South Africa/LBR", + "Consumer price index (2010 = 100)/South Africa/LBR", + "Current health expenditure per capita (current US$)/South Africa/LBR", + "Fixed broadband subscriptions (per 100 people)/South Africa/LBR", + "GNI (current US$)/South Africa/LBR", + "Industry (including construction), value added (current US$)/South Africa/LBR", + "Number of infant deaths/South Africa/LBR", + "Prevalence of current tobacco use (% of adults)/South Africa/LBR", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/LBR", + "Access to electricity (% of population)/North Africa/MAR", + "CO2 emissions (kg per PPP $ of GDP)/North Africa/MAR", + "Consumer price index (2010 = 100)/North Africa/MAR", + "Current health expenditure per capita (current US$)/North Africa/MAR", + "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa/MAR", + "Export value index (2000 = 100)/North Africa/MAR", + "Fixed broadband subscriptions (per 100 people)/North Africa/MAR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa/MAR", + "GNI (current US$)/North Africa/MAR", + "Gross value added at basic prices (GVA) (current US$)/North Africa/MAR", + "Households and NPISHs Final consumption expenditure (current US$)/North Africa/MAR", + "Industry (including construction), value added (current US$)/North Africa/MAR", + "Number of deaths ages 5-9 years/North Africa/MAR", + "Number of infant deaths/North Africa/MAR", + "Population in largest city/North Africa/MAR", + "Prevalence of current tobacco use (% of adults)/North Africa/MAR", + "Renewable internal freshwater resources per capita (cubic meters)/North Africa/MAR", + "Suicide mortality rate (per 100,000 population)/North Africa/MAR", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/North Africa/MAR", + "Access to electricity (% of population)/Latam/MEX", + "CO2 emissions (kg per PPP $ of GDP)/Latam/MEX", + "Consumer price index (2010 = 100)/Latam/MEX", + "Current health expenditure per capita (current US$)/Latam/MEX", + "Export value index (2000 = 100)/Latam/MEX", + "Fixed broadband subscriptions (per 100 people)/Latam/MEX", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam/MEX", + "GNI (current US$)/Latam/MEX", + "Gross value added at basic prices (GVA) (current US$)/Latam/MEX", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/MEX", + "Industry (including construction), value added (current US$)/Latam/MEX", + "Number of deaths ages 5-9 years/Latam/MEX", + "Number of infant deaths/Latam/MEX", + "Population in largest city/Latam/MEX", + "Prevalence of current tobacco use (% of adults)/Latam/MEX", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam/MEX", + "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/MEX", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/MEX", + "Suicide mortality rate (per 100,000 population)/Latam/MEX", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/MEX", + "Access to electricity (% of population)/South Africa/MOZ", + "Agricultural land (% of land area)/South Africa/MOZ", + "Consumer price index (2010 = 100)/South Africa/MOZ", + "Current health expenditure (% of GDP)/South Africa/MOZ", + "Current health expenditure per capita (current US$)/South Africa/MOZ", + "Employment in industry (% of total employment) (modeled ILO estimate)/South Africa/MOZ", + "Export value index (2000 = 100)/South Africa/MOZ", + "Fixed broadband subscriptions (per 100 people)/South Africa/MOZ", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/South Africa/MOZ", + "GNI (current US$)/South Africa/MOZ", + "Gross value added at basic prices (GVA) (current US$)/South Africa/MOZ", + "Households and NPISHs Final consumption expenditure (current US$)/South Africa/MOZ", + "Industry (including construction), value added (current US$)/South Africa/MOZ", + "Number of deaths ages 5-9 years/South Africa/MOZ", + "Number of infant deaths/South Africa/MOZ", + "Population in largest city/South Africa/MOZ", + "Prevalence of current tobacco use (% of adults)/South Africa/MOZ", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/South Africa/MOZ", + "Ratio of female to male labor force participation rate (%) (national estimate)/South Africa/MOZ", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/MOZ", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/South Africa/MOZ", + "Access to electricity (% of population)/South Africa/NGA", + "Agricultural land (% of land area)/South Africa/NGA", + "CO2 emissions (kg per PPP $ of GDP)/South Africa/NGA", + "Consumer price index (2010 = 100)/South Africa/NGA", + "Current health expenditure per capita (current US$)/South Africa/NGA", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/South Africa/NGA", + "GNI (current US$)/South Africa/NGA", + "Gross value added at basic prices (GVA) (current US$)/South Africa/NGA", + "Households and NPISHs Final consumption expenditure (current US$)/South Africa/NGA", + "Industry (including construction), value added (current US$)/South Africa/NGA", + "Number of deaths ages 5-9 years/South Africa/NGA", + "Population in largest city/South Africa/NGA", + "Prevalence of current tobacco use (% of adults)/South Africa/NGA", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/South Africa/NGA", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/NGA", + "Suicide mortality rate (per 100,000 population)/South Africa/NGA", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/South Africa/NGA", + "Agricultural land (% of land area)/Europe/NLD", + "CO2 emissions (kg per PPP $ of GDP)/Europe/NLD", + "Consumer price index (2010 = 100)/Europe/NLD", + "Current health expenditure (% of GDP)/Europe/NLD", + "Current health expenditure per capita (current US$)/Europe/NLD", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/NLD", + "Export value index (2000 = 100)/Europe/NLD", + "Fixed broadband subscriptions (per 100 people)/Europe/NLD", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/NLD", + "GNI (current US$)/Europe/NLD", + "Gross value added at basic prices (GVA) (current US$)/Europe/NLD", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/NLD", + "Industry (including construction), value added (current US$)/Europe/NLD", + "Number of deaths ages 5-9 years/Europe/NLD", + "Number of infant deaths/Europe/NLD", + "Population in largest city/Europe/NLD", + "Prevalence of current tobacco use (% of adults)/Europe/NLD", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/NLD", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/NLD", + "Renewable internal freshwater resources per capita (cubic meters)/Europe/NLD", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe/NLD", + "CO2 emissions (kg per PPP $ of GDP)/Persian Gulf/OMN", + "Consumer price index (2010 = 100)/Persian Gulf/OMN", + "Current health expenditure per capita (current US$)/Persian Gulf/OMN", + "Employment in industry (% of total employment) (modeled ILO estimate)/Persian Gulf/OMN", + "Export value index (2000 = 100)/Persian Gulf/OMN", + "Fixed broadband subscriptions (per 100 people)/Persian Gulf/OMN", + "GNI (current US$)/Persian Gulf/OMN", + "Gross value added at basic prices (GVA) (current US$)/Persian Gulf/OMN", + "Households and NPISHs Final consumption expenditure (current US$)/Persian Gulf/OMN", + "Industry (including construction), value added (current US$)/Persian Gulf/OMN", + "Number of deaths ages 5-9 years/Persian Gulf/OMN", + "Number of infant deaths/Persian Gulf/OMN", + "Population in largest city/Persian Gulf/OMN", + "Prevalence of current tobacco use (% of adults)/Persian Gulf/OMN", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Persian Gulf/OMN", + "Ratio of female to male labor force participation rate (%) (national estimate)/Persian Gulf/OMN", + "Renewable internal freshwater resources per capita (cubic meters)/Persian Gulf/OMN", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Persian Gulf/OMN", + "Access to electricity (% of population)/Latam/PAN", + "Agricultural land (% of land area)/Latam/PAN", + "CO2 emissions (kg per PPP $ of GDP)/Latam/PAN", + "Consumer price index (2010 = 100)/Latam/PAN", + "Current health expenditure per capita (current US$)/Latam/PAN", + "Export value index (2000 = 100)/Latam/PAN", + "Fixed broadband subscriptions (per 100 people)/Latam/PAN", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam/PAN", + "GNI (current US$)/Latam/PAN", + "Gross value added at basic prices (GVA) (current US$)/Latam/PAN", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/PAN", + "Industry (including construction), value added (current US$)/Latam/PAN", + "Number of deaths ages 5-9 years/Latam/PAN", + "Number of infant deaths/Latam/PAN", + "Population in largest city/Latam/PAN", + "Prevalence of current tobacco use (% of adults)/Latam/PAN", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam/PAN", + "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/PAN", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/PAN", + "Suicide mortality rate (per 100,000 population)/Latam/PAN", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/PAN", + "Access to electricity (% of population)/Latam/PER", + "CO2 emissions (kg per PPP $ of GDP)/Latam/PER", + "Consumer price index (2010 = 100)/Latam/PER", + "Current health expenditure (% of GDP)/Latam/PER", + "Current health expenditure per capita (current US$)/Latam/PER", + "Export value index (2000 = 100)/Latam/PER", + "Fixed broadband subscriptions (per 100 people)/Latam/PER", + "GNI (current US$)/Latam/PER", + "Gross value added at basic prices (GVA) (current US$)/Latam/PER", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/PER", + "Industry (including construction), value added (current US$)/Latam/PER", + "Number of deaths ages 5-9 years/Latam/PER", + "Number of infant deaths/Latam/PER", + "Population in largest city/Latam/PER", + "Prevalence of current tobacco use (% of adults)/Latam/PER", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/PER", + "Access to electricity (% of population)/Asia/PHL", + "Agricultural land (% of land area)/Asia/PHL", + "Consumer price index (2010 = 100)/Asia/PHL", + "Current health expenditure per capita (current US$)/Asia/PHL", + "Export value index (2000 = 100)/Asia/PHL", + "Fixed broadband subscriptions (per 100 people)/Asia/PHL", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/PHL", + "GNI (current US$)/Asia/PHL", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/PHL", + "Industry (including construction), value added (current US$)/Asia/PHL", + "Number of infant deaths/Asia/PHL", + "Population in largest city/Asia/PHL", + "Prevalence of current tobacco use (% of adults)/Asia/PHL", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/PHL", + "Suicide mortality rate (per 100,000 population)/Asia/PHL", + "Agricultural land (% of land area)/Europe/POL", + "CO2 emissions (kg per PPP $ of GDP)/Europe/POL", + "Consumer price index (2010 = 100)/Europe/POL", + "Current health expenditure (% of GDP)/Europe/POL", + "Current health expenditure per capita (current US$)/Europe/POL", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/POL", + "Export value index (2000 = 100)/Europe/POL", + "Fixed broadband subscriptions (per 100 people)/Europe/POL", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/POL", + "GNI (current US$)/Europe/POL", + "Gross value added at basic prices (GVA) (current US$)/Europe/POL", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/POL", + "Industry (including construction), value added (current US$)/Europe/POL", + "Number of deaths ages 5-9 years/Europe/POL", + "Number of infant deaths/Europe/POL", + "Population in largest city/Europe/POL", + "Prevalence of current tobacco use (% of adults)/Europe/POL", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/POL", + "Renewable internal freshwater resources per capita (cubic meters)/Europe/POL", + "Suicide mortality rate (per 100,000 population)/Europe/POL", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe/POL", + "Consumer price index (2010 = 100)/Persian Gulf/QAT", + "Current health expenditure per capita (current US$)/Persian Gulf/QAT", + "Export value index (2000 = 100)/Persian Gulf/QAT", + "Fixed broadband subscriptions (per 100 people)/Persian Gulf/QAT", + "GNI (current US$)/Persian Gulf/QAT", + "Households and NPISHs Final consumption expenditure (current US$)/Persian Gulf/QAT", + "Number of deaths ages 5-9 years/Persian Gulf/QAT", + "Population in largest city/Persian Gulf/QAT", + "Prevalence of current tobacco use (% of adults)/Persian Gulf/QAT", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Persian Gulf/QAT", + "Ratio of female to male labor force participation rate (%) (national estimate)/Persian Gulf/QAT", + "Renewable internal freshwater resources per capita (cubic meters)/Persian Gulf/QAT", + "Suicide mortality rate (per 100,000 population)/Persian Gulf/QAT", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Persian Gulf/QAT", + "Consumer price index (2010 = 100)/Persian Gulf/SAU", + "Current health expenditure per capita (current US$)/Persian Gulf/SAU", + "Employment in industry (% of total employment) (modeled ILO estimate)/Persian Gulf/SAU", + "Export value index (2000 = 100)/Persian Gulf/SAU", + "Fixed broadband subscriptions (per 100 people)/Persian Gulf/SAU", + "GNI (current US$)/Persian Gulf/SAU", + "Gross value added at basic prices (GVA) (current US$)/Persian Gulf/SAU", + "Households and NPISHs Final consumption expenditure (current US$)/Persian Gulf/SAU", + "Industry (including construction), value added (current US$)/Persian Gulf/SAU", + "Number of deaths ages 5-9 years/Persian Gulf/SAU", + "Number of infant deaths/Persian Gulf/SAU", + "Population in largest city/Persian Gulf/SAU", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Persian Gulf/SAU", + "Ratio of female to male labor force participation rate (%) (national estimate)/Persian Gulf/SAU", + "Renewable internal freshwater resources per capita (cubic meters)/Persian Gulf/SAU", + "Suicide mortality rate (per 100,000 population)/Persian Gulf/SAU", + "Access to electricity (% of population)/South Africa/SEN", + "Consumer price index (2010 = 100)/South Africa/SEN", + "Current health expenditure per capita (current US$)/South Africa/SEN", + "Employment in industry (% of total employment) (modeled ILO estimate)/South Africa/SEN", + "Export value index (2000 = 100)/South Africa/SEN", + "Fixed broadband subscriptions (per 100 people)/South Africa/SEN", + "GNI (current US$)/South Africa/SEN", + "Gross value added at basic prices (GVA) (current US$)/South Africa/SEN", + "Households and NPISHs Final consumption expenditure (current US$)/South Africa/SEN", + "Industry (including construction), value added (current US$)/South Africa/SEN", + "Number of deaths ages 5-9 years/South Africa/SEN", + "Number of infant deaths/South Africa/SEN", + "Population in largest city/South Africa/SEN", + "Prevalence of current tobacco use (% of adults)/South Africa/SEN", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/South Africa/SEN", + "Ratio of female to male labor force participation rate (%) (national estimate)/South Africa/SEN", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/SEN", + "Suicide mortality rate (per 100,000 population)/South Africa/SEN", + "Agricultural land (% of land area)/Europe/SWE", + "CO2 emissions (kg per PPP $ of GDP)/Europe/SWE", + "Consumer price index (2010 = 100)/Europe/SWE", + "Current health expenditure (% of GDP)/Europe/SWE", + "Current health expenditure per capita (current US$)/Europe/SWE", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/SWE", + "Export value index (2000 = 100)/Europe/SWE", + "Fixed broadband subscriptions (per 100 people)/Europe/SWE", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/SWE", + "GNI (current US$)/Europe/SWE", + "Gross value added at basic prices (GVA) (current US$)/Europe/SWE", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/SWE", + "Industry (including construction), value added (current US$)/Europe/SWE", + "Number of infant deaths/Europe/SWE", + "Prevalence of current tobacco use (% of adults)/Europe/SWE", + "Access to electricity (% of population)/Asia/THA", + "CO2 emissions (kg per PPP $ of GDP)/Asia/THA", + "Consumer price index (2010 = 100)/Asia/THA", + "Current health expenditure (% of GDP)/Asia/THA", + "Current health expenditure per capita (current US$)/Asia/THA", + "Export value index (2000 = 100)/Asia/THA", + "Fixed broadband subscriptions (per 100 people)/Asia/THA", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/THA", + "GNI (current US$)/Asia/THA", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/THA", + "Industry (including construction), value added (current US$)/Asia/THA", + "Number of deaths ages 5-9 years/Asia/THA", + "Number of infant deaths/Asia/THA", + "Population in largest city/Asia/THA", + "Prevalence of current tobacco use (% of adults)/Asia/THA", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/THA", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Asia/THA", + "Agricultural land (% of land area)/North Africa/TUR", + "CO2 emissions (kg per PPP $ of GDP)/North Africa/TUR", + "Consumer price index (2010 = 100)/North Africa/TUR", + "Export value index (2000 = 100)/North Africa/TUR", + "Fixed broadband subscriptions (per 100 people)/North Africa/TUR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa/TUR", + "GNI (current US$)/North Africa/TUR", + "Gross value added at basic prices (GVA) (current US$)/North Africa/TUR", + "Households and NPISHs Final consumption expenditure (current US$)/North Africa/TUR", + "Industry (including construction), value added (current US$)/North Africa/TUR", + "Number of deaths ages 5-9 years/North Africa/TUR", + "Number of infant deaths/North Africa/TUR", + "Population in largest city/North Africa/TUR", + "Prevalence of current tobacco use (% of adults)/North Africa/TUR", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/North Africa/TUR", + "Ratio of female to male labor force participation rate (%) (national estimate)/North Africa/TUR", + "Renewable internal freshwater resources per capita (cubic meters)/North Africa/TUR", + "Suicide mortality rate (per 100,000 population)/North Africa/TUR", + "Agricultural land (% of land area)/Pair/USA", + "CO2 emissions (kg per PPP $ of GDP)/Pair/USA", + "Consumer price index (2010 = 100)/Pair/USA", + "Current health expenditure (% of GDP)/Pair/USA", + "Current health expenditure per capita (current US$)/Pair/USA", + "Employment in industry (% of total employment) (modeled ILO estimate)/Pair/USA", + "Export value index (2000 = 100)/Pair/USA", + "Fixed broadband subscriptions (per 100 people)/Pair/USA", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Pair/USA", + "GNI (current US$)/Pair/USA", + "Gross value added at basic prices (GVA) (current US$)/Pair/USA", + "Households and NPISHs Final consumption expenditure (current US$)/Pair/USA", + "Industry (including construction), value added (current US$)/Pair/USA", + "Number of deaths ages 5-9 years/Pair/USA", + "Number of infant deaths/Pair/USA", + "Population in largest city/Pair/USA", + "Prevalence of current tobacco use (% of adults)/Pair/USA", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Pair/USA", + "Ratio of female to male labor force participation rate (%) (national estimate)/Pair/USA", + "Renewable internal freshwater resources per capita (cubic meters)/Pair/USA", + "Suicide mortality rate (per 100,000 population)/Pair/USA", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Pair/USA", + "Agricultural land (% of land area)/Latam/VEN", + "Consumer price index (2010 = 100)/Latam/VEN", + "Current health expenditure per capita (current US$)/Latam/VEN", + "Employment in industry (% of total employment) (modeled ILO estimate)/Latam/VEN", + "Export value index (2000 = 100)/Latam/VEN", + "Fixed broadband subscriptions (per 100 people)/Latam/VEN", + "GNI (current US$)/Latam/VEN", + "Gross value added at basic prices (GVA) (current US$)/Latam/VEN", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/VEN", + "Industry (including construction), value added (current US$)/Latam/VEN", + "Population in largest city/Latam/VEN", + "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/VEN", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/VEN", + "Suicide mortality rate (per 100,000 population)/Latam/VEN", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/VEN", + "Access to electricity (% of population)/Asia/VNM", + "Agricultural land (% of land area)/Asia/VNM", + "Consumer price index (2010 = 100)/Asia/VNM", + "Current health expenditure (% of GDP)/Asia/VNM", + "Current health expenditure per capita (current US$)/Asia/VNM", + "Employment in industry (% of total employment) (modeled ILO estimate)/Asia/VNM", + "Export value index (2000 = 100)/Asia/VNM", + "Fixed broadband subscriptions (per 100 people)/Asia/VNM", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/VNM", + "GNI (current US$)/Asia/VNM", + "Gross value added at basic prices (GVA) (current US$)/Asia/VNM", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/VNM", + "Industry (including construction), value added (current US$)/Asia/VNM", + "Number of deaths ages 5-9 years/Asia/VNM", + "Number of infant deaths/Asia/VNM", + "Population in largest city/Asia/VNM", + "Prevalence of current tobacco use (% of adults)/Asia/VNM", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Asia/VNM", + "Ratio of female to male labor force participation rate (%) (national estimate)/Asia/VNM", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/VNM", + "Suicide mortality rate (per 100,000 population)/Asia/VNM", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Asia/VNM", + "Access to electricity (% of population)/Persian Gulf/YEM", + "Agricultural land (% of land area)/Persian Gulf/YEM", + "Consumer price index (2010 = 100)/Persian Gulf/YEM", + "Current health expenditure (% of GDP)/Persian Gulf/YEM", + "Current health expenditure per capita (current US$)/Persian Gulf/YEM", + "Employment in industry (% of total employment) (modeled ILO estimate)/Persian Gulf/YEM", + "Fixed broadband subscriptions (per 100 people)/Persian Gulf/YEM", + "GNI (current US$)/Persian Gulf/YEM", + "Gross value added at basic prices (GVA) (current US$)/Persian Gulf/YEM", + "Industry (including construction), value added (current US$)/Persian Gulf/YEM", + "Number of deaths ages 5-9 years/Persian Gulf/YEM", + "Population in largest city/Persian Gulf/YEM", + "Prevalence of current tobacco use (% of adults)/Persian Gulf/YEM", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Persian Gulf/YEM", + "Renewable internal freshwater resources per capita (cubic meters)/Persian Gulf/YEM", + "Suicide mortality rate (per 100,000 population)/Persian Gulf/YEM", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Persian Gulf/YEM", + "Access to electricity (% of population)/South Africa/ZAF", + "CO2 emissions (kg per PPP $ of GDP)/South Africa/ZAF", + "Consumer price index (2010 = 100)/South Africa/ZAF", + "Current health expenditure per capita (current US$)/South Africa/ZAF", + "Employment in industry (% of total employment) (modeled ILO estimate)/South Africa/ZAF", + "Export value index (2000 = 100)/South Africa/ZAF", + "Fixed broadband subscriptions (per 100 people)/South Africa/ZAF", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/South Africa/ZAF", + "GNI (current US$)/South Africa/ZAF", + "Gross value added at basic prices (GVA) (current US$)/South Africa/ZAF", + "Households and NPISHs Final consumption expenditure (current US$)/South Africa/ZAF", + "Industry (including construction), value added (current US$)/South Africa/ZAF", + "Population in largest city/South Africa/ZAF", + "Prevalence of current tobacco use (% of adults)/South Africa/ZAF", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/South Africa/ZAF", + "Ratio of female to male labor force participation rate (%) (national estimate)/South Africa/ZAF", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/ZAF", + "Access to electricity (% of population)/Asia", + "Agricultural land (% of land area)/Asia", + "CO2 emissions (kg per PPP $ of GDP)/Asia", + "Consumer price index (2010 = 100)/Asia", + "Current health expenditure (% of GDP)/Asia", + "Current health expenditure per capita (current US$)/Asia", + "Employment in industry (% of total employment) (modeled ILO estimate)/Asia", + "Export value index (2000 = 100)/Asia", + "Fixed broadband subscriptions (per 100 people)/Asia", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia", + "GNI (current US$)/Asia", + "Gross value added at basic prices (GVA) (current US$)/Asia", + "Households and NPISHs Final consumption expenditure (current US$)/Asia", + "Industry (including construction), value added (current US$)/Asia", + "Number of deaths ages 5-9 years/Asia", + "Number of infant deaths/Asia", + "Population in largest city/Asia", + "Prevalence of current tobacco use (% of adults)/Asia", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Asia", + "Ratio of female to male labor force participation rate (%) (national estimate)/Asia", + "Renewable internal freshwater resources per capita (cubic meters)/Asia", + "Suicide mortality rate (per 100,000 population)/Asia", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Asia", + "Agricultural land (% of land area)/Europe", + "CO2 emissions (kg per PPP $ of GDP)/Europe", + "Consumer price index (2010 = 100)/Europe", + "Current health expenditure (% of GDP)/Europe", + "Current health expenditure per capita (current US$)/Europe", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe", + "Export value index (2000 = 100)/Europe", + "Fixed broadband subscriptions (per 100 people)/Europe", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe", + "GNI (current US$)/Europe", + "Gross value added at basic prices (GVA) (current US$)/Europe", + "Households and NPISHs Final consumption expenditure (current US$)/Europe", + "Industry (including construction), value added (current US$)/Europe", + "Number of deaths ages 5-9 years/Europe", + "Number of infant deaths/Europe", + "Population in largest city/Europe", + "Prevalence of current tobacco use (% of adults)/Europe", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe", + "Renewable internal freshwater resources per capita (cubic meters)/Europe", + "Suicide mortality rate (per 100,000 population)/Europe", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe", + "Access to electricity (% of population)/Latam", + "Agricultural land (% of land area)/Latam", + "CO2 emissions (kg per PPP $ of GDP)/Latam", + "Consumer price index (2010 = 100)/Latam", + "Current health expenditure (% of GDP)/Latam", + "Current health expenditure per capita (current US$)/Latam", + "Employment in industry (% of total employment) (modeled ILO estimate)/Latam", + "Export value index (2000 = 100)/Latam", + "Fixed broadband subscriptions (per 100 people)/Latam", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam", + "GNI (current US$)/Latam", + "Gross value added at basic prices (GVA) (current US$)/Latam", + "Households and NPISHs Final consumption expenditure (current US$)/Latam", + "Industry (including construction), value added (current US$)/Latam", + "Number of deaths ages 5-9 years/Latam", + "Number of infant deaths/Latam", + "Population in largest city/Latam", + "Prevalence of current tobacco use (% of adults)/Latam", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam", + "Ratio of female to male labor force participation rate (%) (national estimate)/Latam", + "Renewable internal freshwater resources per capita (cubic meters)/Latam", + "Suicide mortality rate (per 100,000 population)/Latam", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam", + "Access to electricity (% of population)/North Africa", + "Agricultural land (% of land area)/North Africa", + "CO2 emissions (kg per PPP $ of GDP)/North Africa", + "Consumer price index (2010 = 100)/North Africa", + "Current health expenditure per capita (current US$)/North Africa", + "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa", + "Export value index (2000 = 100)/North Africa", + "Fixed broadband subscriptions (per 100 people)/North Africa", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa", + "GNI (current US$)/North Africa", + "Gross value added at basic prices (GVA) (current US$)/North Africa", + "Households and NPISHs Final consumption expenditure (current US$)/North Africa", + "Industry (including 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"lastdf=final.dropna()\n", + "\n", + "lastdf.isna().sum()\n", + "\n", + "from ipywidgets import widgets, HBox\n", + "\n", + "out = widgets.Output()\n", + "\n", + "def output_treemap(path):\n", + "\n", + " figA = px.treemap(lastdf, path=path, values='R^2 Spearman',\n", + "\n", + " color='R^2 Spearman',\n", "\n", " color_continuous_scale='RdBu_r')\n", "\n", @@ -14118,7 +43649,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 96, "metadata": {}, "outputs": [], "source": [ @@ -14187,9 +43718,181061 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 97, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "efff9c080b6049fd9f89865b23843ce6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(Dropdown(description='Path 1', options=('Continent', 'Country', 'Group', 'Indicator'), value='C…" + ] + }, + "metadata": {}, + "output_type": 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"World/Asia/BGD/Economy/Adjusted net national income (current US$)", + "World/Latam/BRA/Economy/Adjusted net national income (current US$)", + "World/Latam/CHL/Economy/Adjusted net national income (current US$)", + "World/Pair/CHN/Economy/Adjusted net national income (current US$)", + "World/South Africa/CMR/Economy/Adjusted net national income (current US$)", + "World/Latam/COL/Economy/Adjusted net national income (current US$)", + "World/Latam/CRI/Economy/Adjusted net national income (current US$)", + "World/Europe/DEU/Economy/Adjusted net national income (current US$)", + "World/North Africa/DZA/Economy/Adjusted net national income (current US$)", + "World/North Africa/EGY/Economy/Adjusted net national income (current US$)", + "World/Europe/ESP/Economy/Adjusted net national income (current US$)", + "World/Europe/FRA/Economy/Adjusted net national income (current US$)", + "World/Europe/GBR/Economy/Adjusted net national income (current US$)", + "World/South Africa/GHA/Economy/Adjusted net national income (current US$)", + "World/Europe/HRV/Economy/Adjusted net national income (current US$)", + "World/Asia/IDN/Economy/Adjusted net national income (current US$)", + "World/Asia/IND/Economy/Adjusted net national income (current US$)", + "World/North Africa/ISR/Economy/Adjusted net national income (current US$)", + "World/Asia/KOR/Economy/Adjusted net national income (current US$)", + "World/South Africa/LBR/Economy/Adjusted net national income (current US$)", + "World/North Africa/MAR/Economy/Adjusted net national income (current US$)", + "World/Latam/MEX/Economy/Adjusted net national income (current US$)", + "World/South Africa/MOZ/Economy/Adjusted net national income (current US$)", + "World/South Africa/NGA/Economy/Adjusted net national income (current US$)", + "World/Europe/NLD/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted net national income (current US$)", + "World/Latam/PAN/Economy/Adjusted net national income (current US$)", + "World/Latam/PER/Economy/Adjusted net national income (current US$)", + "World/Asia/PHL/Economy/Adjusted net national income (current US$)", + "World/Europe/POL/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted net national income (current US$)", + "World/South Africa/SEN/Economy/Adjusted net national income (current US$)", + "World/Europe/SWE/Economy/Adjusted net national income (current US$)", + "World/Asia/THA/Economy/Adjusted net national income (current US$)", + "World/North Africa/TUR/Economy/Adjusted net national income (current US$)", + "World/Pair/USA/Economy/Adjusted net national income (current US$)", + "World/Latam/VEN/Economy/Adjusted net national income (current US$)", + "World/Asia/VNM/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted net national income (current US$)", + "World/South Africa/ZAF/Economy/Adjusted net national income (current US$)", + "World/Latam/ARG/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/AUT/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/BGD/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/BRA/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/CHL/Economy/Adjusted net national income per capita (current US$)", + "World/Pair/CHN/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/CMR/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/COL/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/CRI/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/DEU/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/DZA/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/EGY/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/ESP/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/FRA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/GBR/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/GHA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/HRV/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/IDN/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/IND/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/IRQ/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/ISR/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/KOR/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/MAR/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/MEX/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/MOZ/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/NGA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/NLD/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/PAN/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/PER/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/PHL/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/POL/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/SEN/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/SWE/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/THA/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/TUR/Economy/Adjusted net national income per capita (current US$)", + "World/Pair/USA/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/VEN/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/VNM/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/ZAF/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/COL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/IND/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/PER/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/POL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/THA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Pair/USA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/COL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/ESP/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/HRV/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/IND/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/PER/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/POL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/SWE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/THA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Pair/USA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/COL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/ESP/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/HRV/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/IND/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/PER/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/POL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/SWE/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/THA/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Pair/USA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: net national savings (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/IND/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: net national savings (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/PER/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/POL/Economy/Adjusted savings: net national savings (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: net national savings (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/THA/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: net national savings (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/COL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/IND/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/THA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/ARE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/ARG/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/AUT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/AZE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/BGD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/BRA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/CHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Pair/CHN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/CMR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/COL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/CRI/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/DEU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/EGY/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/GBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/GHA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/GRC/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/HRV/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/IND/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/ISR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/KOR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/LBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/MAR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/MEX/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/MOZ/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/NGA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/NLD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/OMN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/PAN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/PER/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/PHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/POL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/QAT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/SAU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/SEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/SWE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/TUR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Pair/USA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/VEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/VNM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/YEM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/AUT/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Agricultural land (% of land area)", + "World/Asia/BGD/Agriculture/Agricultural land (% of land area)", + "World/Latam/BRA/Agriculture/Agricultural land (% of land area)", + "World/Pair/CHN/Agriculture/Agricultural land (% of land area)", + "World/South Africa/CMR/Agriculture/Agricultural land (% of land area)", + "World/Latam/CRI/Agriculture/Agricultural land (% of land area)", + "World/Europe/DEU/Agriculture/Agricultural land (% of land area)", + "World/North Africa/DZA/Agriculture/Agricultural land (% of land area)", + "World/North Africa/EGY/Agriculture/Agricultural land (% of land area)", + "World/Europe/ESP/Agriculture/Agricultural land (% of land area)", + "World/Europe/FRA/Agriculture/Agricultural land (% of land area)", + "World/Europe/GRC/Agriculture/Agricultural land (% of land area)", + "World/Asia/IDN/Agriculture/Agricultural land (% of land area)", + "World/Asia/IND/Agriculture/Agricultural land (% of land area)", + "World/North Africa/ISR/Agriculture/Agricultural land (% of land area)", + "World/Asia/KOR/Agriculture/Agricultural land (% of land area)", + "World/South Africa/LBR/Agriculture/Agricultural land (% of land area)", + "World/South Africa/MOZ/Agriculture/Agricultural land (% of land area)", + "World/South Africa/NGA/Agriculture/Agricultural land (% of land area)", + "World/Europe/NLD/Agriculture/Agricultural land (% of land area)", + "World/Latam/PAN/Agriculture/Agricultural land (% of land area)", + "World/Asia/PHL/Agriculture/Agricultural land (% of land area)", + "World/Europe/POL/Agriculture/Agricultural land (% of land area)", + "World/Europe/SWE/Agriculture/Agricultural land (% of land area)", + "World/North Africa/TUR/Agriculture/Agricultural land (% of land area)", + "World/Pair/USA/Agriculture/Agricultural land (% of land area)", + "World/Latam/VEN/Agriculture/Agricultural land (% of land area)", + "World/Asia/VNM/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/ARE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/AUT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/HRV/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/MEX/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/SAU/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/TUR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/BRA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/NLD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/USA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/AUT/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/BRA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/CHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/COL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/DZA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/EGY/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/GRC/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/HRV/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/IDN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/KOR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/MAR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/MEX/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/PHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/POL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/THA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/TUR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Pair/USA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/VEN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/VNM/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/BGD/Agriculture/Aquaculture production (metric tons)", + "World/Latam/BRA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/CHL/Agriculture/Aquaculture production (metric tons)", + "World/Pair/CHN/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/CMR/Agriculture/Aquaculture production (metric tons)", + "World/Latam/COL/Agriculture/Aquaculture production (metric tons)", + "World/Latam/CRI/Agriculture/Aquaculture production (metric tons)", + "World/North Africa/EGY/Agriculture/Aquaculture production (metric tons)", + "World/Europe/FRA/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/GHA/Agriculture/Aquaculture production (metric tons)", + "World/Asia/IDN/Agriculture/Aquaculture production (metric tons)", + "World/Asia/IND/Agriculture/Aquaculture production (metric tons)", + "World/Asia/KOR/Agriculture/Aquaculture production (metric tons)", + "World/Latam/MEX/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/NGA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/PER/Agriculture/Aquaculture production (metric tons)", + "World/Asia/PHL/Agriculture/Aquaculture production (metric tons)", + "World/Europe/POL/Agriculture/Aquaculture production (metric tons)", + "World/Persian Gulf/SAU/Agriculture/Aquaculture production (metric tons)", + "World/North Africa/TUR/Agriculture/Aquaculture production (metric tons)", + "World/Pair/USA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/VEN/Agriculture/Aquaculture production (metric tons)", + "World/Asia/VNM/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/ZAF/Agriculture/Aquaculture production (metric tons)", + "World/Europe/AUT/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Arable land (% of land area)", + "World/Asia/BGD/Agriculture/Arable land (% of land area)", + "World/Latam/BRA/Agriculture/Arable land (% of land area)", + "World/Latam/CHL/Agriculture/Arable land (% of land area)", + "World/Pair/CHN/Agriculture/Arable land (% of land area)", + "World/South Africa/CMR/Agriculture/Arable land (% of land area)", + "World/Latam/COL/Agriculture/Arable land (% of land area)", + "World/Latam/CRI/Agriculture/Arable land (% of land area)", + "World/South Africa/GHA/Agriculture/Arable land (% of land area)", + "World/Europe/GRC/Agriculture/Arable land (% of land area)", + "World/Asia/IDN/Agriculture/Arable land (% of land area)", + "World/Asia/IND/Agriculture/Arable land (% of land area)", + "World/Asia/KOR/Agriculture/Arable land (% of land area)", + "World/South Africa/LBR/Agriculture/Arable land (% of land area)", + "World/North Africa/MAR/Agriculture/Arable land (% of land area)", + "World/South Africa/MOZ/Agriculture/Arable land (% of land area)", + "World/Latam/PAN/Agriculture/Arable land (% of land area)", + "World/Europe/POL/Agriculture/Arable land (% of land area)", + "World/Europe/SWE/Agriculture/Arable land (% of land area)", + "World/North Africa/TUR/Agriculture/Arable land (% of land area)", + "World/Pair/USA/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/ARE/Agriculture/Arable land (hectares per person)", + "World/Latam/ARG/Agriculture/Arable land (hectares per person)", + "World/Europe/AUT/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/AZE/Agriculture/Arable land (hectares per person)", + "World/Asia/BGD/Agriculture/Arable land (hectares per person)", + "World/Latam/CHL/Agriculture/Arable land (hectares per person)", + "World/Pair/CHN/Agriculture/Arable land (hectares per person)", + "World/South Africa/CMR/Agriculture/Arable land (hectares per person)", + "World/Latam/COL/Agriculture/Arable land (hectares per person)", + "World/North Africa/DZA/Agriculture/Arable land (hectares per person)", + "World/North Africa/EGY/Agriculture/Arable land (hectares per person)", + "World/Europe/ESP/Agriculture/Arable land (hectares per person)", + "World/Europe/FRA/Agriculture/Arable land (hectares per person)", + "World/South Africa/GHA/Agriculture/Arable land (hectares per person)", + "World/Europe/GRC/Agriculture/Arable land (hectares per person)", + "World/Asia/IND/Agriculture/Arable land (hectares per person)", + "World/Asia/KOR/Agriculture/Arable land (hectares per person)", + "World/South Africa/LBR/Agriculture/Arable land (hectares per person)", + "World/North Africa/MAR/Agriculture/Arable land (hectares per person)", + "World/Latam/MEX/Agriculture/Arable land (hectares per person)", + "World/South Africa/MOZ/Agriculture/Arable land (hectares per person)", + "World/South Africa/NGA/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/OMN/Agriculture/Arable land (hectares per person)", + "World/Latam/PAN/Agriculture/Arable land (hectares per person)", + "World/Latam/PER/Agriculture/Arable land (hectares per person)", + "World/Asia/PHL/Agriculture/Arable land (hectares per person)", + "World/Europe/POL/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/QAT/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/SAU/Agriculture/Arable land (hectares per person)", + "World/Europe/SWE/Agriculture/Arable land (hectares per person)", + "World/North Africa/TUR/Agriculture/Arable land (hectares per person)", + "World/Pair/USA/Agriculture/Arable land (hectares per person)", + "World/Latam/VEN/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/YEM/Agriculture/Arable land (hectares per person)", + "World/South Africa/ZAF/Agriculture/Arable land (hectares per person)", + "World/Europe/AUT/Agriculture/Arable land (hectares)", + "World/Persian Gulf/AZE/Agriculture/Arable land (hectares)", + "World/Asia/BGD/Agriculture/Arable land (hectares)", + "World/Latam/BRA/Agriculture/Arable land (hectares)", + "World/Latam/CHL/Agriculture/Arable land (hectares)", + "World/Pair/CHN/Agriculture/Arable land (hectares)", + "World/South Africa/CMR/Agriculture/Arable land (hectares)", + "World/Latam/COL/Agriculture/Arable land (hectares)", + "World/Latam/CRI/Agriculture/Arable land (hectares)", + "World/South Africa/GHA/Agriculture/Arable land (hectares)", + "World/Europe/GRC/Agriculture/Arable land (hectares)", + "World/Asia/IDN/Agriculture/Arable land (hectares)", + "World/Asia/IND/Agriculture/Arable land (hectares)", + "World/Asia/KOR/Agriculture/Arable land (hectares)", + "World/South Africa/LBR/Agriculture/Arable land (hectares)", + "World/North Africa/MAR/Agriculture/Arable land (hectares)", + "World/South Africa/MOZ/Agriculture/Arable land (hectares)", + "World/Latam/PAN/Agriculture/Arable land (hectares)", + "World/Europe/POL/Agriculture/Arable land (hectares)", + "World/Europe/SWE/Agriculture/Arable land (hectares)", + "World/North Africa/TUR/Agriculture/Arable land (hectares)", + "World/Pair/USA/Agriculture/Arable land (hectares)", + "World/Persian Gulf/YEM/Agriculture/Arable land (hectares)", + "World/Persian Gulf/ARE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/ARG/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/AZE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/BGD/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Pair/CHN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/CMR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/COL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/CRI/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/DEU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/DZA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/EGY/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/FRA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/GHA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/HRV/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/IDN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/IND/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/ISR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/LBR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/MAR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/MEX/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/MOZ/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/NGA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/PAN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/PER/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/PHL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/POL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/SAU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/SEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/THA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/TUR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Pair/USA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/VEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/VNM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/YEM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/ZAF/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/ARE/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/BGD/Mortality/Births attended by skilled health staff (% of total)", + "World/Pair/CHN/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/CRI/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/DZA/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/EGY/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/GHA/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/IDN/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/IND/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/MAR/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/MEX/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/MOZ/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/PER/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/PHL/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/SAU/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/TUR/Mortality/Births attended by skilled health staff (% of total)", + "World/Pair/USA/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/VNM/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/YEM/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/ZAF/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/ARE/Economy/Broad money (% of GDP)", + "World/Latam/ARG/Economy/Broad money (% of GDP)", + "World/Persian Gulf/AZE/Economy/Broad money (% of GDP)", + "World/Asia/BGD/Economy/Broad money (% of GDP)", + "World/Latam/BRA/Economy/Broad money (% of GDP)", + "World/Pair/CHN/Economy/Broad money (% of GDP)", + "World/South Africa/CMR/Economy/Broad money (% of GDP)", + "World/North Africa/DZA/Economy/Broad money (% of GDP)", + "World/Europe/GBR/Economy/Broad money (% of GDP)", + "World/Europe/HRV/Economy/Broad money (% of GDP)", + "World/Asia/IND/Economy/Broad money (% of GDP)", + "World/North Africa/ISR/Economy/Broad money (% of GDP)", + "World/Asia/KOR/Economy/Broad money (% of GDP)", + "World/North Africa/MAR/Economy/Broad money (% of GDP)", + "World/Latam/MEX/Economy/Broad money (% of GDP)", + "World/South Africa/MOZ/Economy/Broad money (% of GDP)", + "World/Latam/PER/Economy/Broad money (% of GDP)", + "World/Asia/PHL/Economy/Broad money (% of GDP)", + "World/Europe/POL/Economy/Broad money (% of GDP)", + "World/Persian Gulf/QAT/Economy/Broad money (% of GDP)", + "World/South Africa/SEN/Economy/Broad money (% of GDP)", + "World/North Africa/TUR/Economy/Broad money (% of GDP)", + "World/Pair/USA/Economy/Broad money (% of GDP)", + "World/Latam/VEN/Economy/Broad money (% of GDP)", + "World/Asia/VNM/Economy/Broad money (% of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/PHL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/VNM/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/PHL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/VNM/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/ARG/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/BRA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/CHL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/COL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/ESP/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/IDN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/MAR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/PER/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/TUR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/South Africa/ZAF/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/ARE/Environment/CO2 emissions (kt)", + "World/Latam/ARG/Environment/CO2 emissions (kt)", + "World/Asia/BGD/Environment/CO2 emissions (kt)", + "World/Latam/BRA/Environment/CO2 emissions (kt)", + "World/Latam/CHL/Environment/CO2 emissions (kt)", + "World/Pair/CHN/Environment/CO2 emissions (kt)", + "World/Latam/COL/Environment/CO2 emissions (kt)", + "World/Latam/CRI/Environment/CO2 emissions (kt)", + "World/Europe/DEU/Environment/CO2 emissions (kt)", + "World/North Africa/DZA/Environment/CO2 emissions (kt)", + "World/North Africa/EGY/Environment/CO2 emissions (kt)", + "World/Europe/GBR/Environment/CO2 emissions (kt)", + "World/South Africa/GHA/Environment/CO2 emissions (kt)", + "World/Asia/IDN/Environment/CO2 emissions (kt)", + "World/Asia/IND/Environment/CO2 emissions (kt)", + "World/Asia/KOR/Environment/CO2 emissions (kt)", + "World/South Africa/LBR/Environment/CO2 emissions (kt)", + "World/North Africa/MAR/Environment/CO2 emissions (kt)", + "World/Latam/MEX/Environment/CO2 emissions (kt)", + "World/South Africa/MOZ/Environment/CO2 emissions (kt)", + "World/South Africa/NGA/Environment/CO2 emissions (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kt)", + "World/Latam/PAN/Environment/CO2 emissions (kt)", + "World/Latam/PER/Environment/CO2 emissions (kt)", + "World/Asia/PHL/Environment/CO2 emissions (kt)", + "World/Persian Gulf/QAT/Environment/CO2 emissions (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kt)", + "World/South Africa/SEN/Environment/CO2 emissions (kt)", + "World/Europe/SWE/Environment/CO2 emissions (kt)", + "World/Asia/THA/Environment/CO2 emissions (kt)", + "World/North Africa/TUR/Environment/CO2 emissions (kt)", + "World/Asia/VNM/Environment/CO2 emissions (kt)", + "World/South Africa/ZAF/Environment/CO2 emissions (kt)", + "World/Asia/BGD/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/BRA/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/CHL/Environment/CO2 emissions (metric tons per capita)", + "World/Pair/CHN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/CRI/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/DEU/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/DZA/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/EGY/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/GBR/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/GHA/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/GRC/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/IDN/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/IND/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/ISR/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/KOR/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/MAR/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/MOZ/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/NLD/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/PAN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/PER/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/PHL/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/SEN/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/SWE/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/THA/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/TUR/Environment/CO2 emissions (metric tons per capita)", + "World/Pair/USA/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/VNM/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/ARG/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/AZE/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/BGD/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/BRA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Pair/CHN/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/COL/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/DZA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/EGY/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/ESP/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/IND/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/ISR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/KOR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/MAR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/MEX/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/South Africa/NGA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/NLD/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/PER/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/POL/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/QAT/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/THA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/TUR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Pair/USA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/VNM/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/BGD/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/BRA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/CHL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Pair/CHN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/CMR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/CRI/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/DZA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/EGY/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/GBR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/GHA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/IDN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/IND/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/MAR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/MOZ/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/NLD/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/PAN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/PER/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/PHL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/POL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/THA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/VNM/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Europe/AUT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/BGD/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/BRA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/CHL/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Pair/CHN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/CMR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/IDN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/IND/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/KOR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/North Africa/MAR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/MEX/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/NGA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/QAT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/SEN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/VNM/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/ARE/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/AZE/Industry/Capture fisheries production (metric tons)", + "World/Asia/BGD/Industry/Capture fisheries production (metric tons)", + "World/Latam/CHL/Industry/Capture fisheries production (metric tons)", + "World/South Africa/CMR/Industry/Capture fisheries production (metric tons)", + "World/Latam/CRI/Industry/Capture fisheries production (metric tons)", + "World/Europe/GRC/Industry/Capture fisheries production (metric tons)", + "World/Europe/HRV/Industry/Capture fisheries production (metric tons)", + "World/Asia/IDN/Industry/Capture fisheries production (metric tons)", + "World/Asia/IND/Industry/Capture fisheries production (metric tons)", + "World/North Africa/ISR/Industry/Capture fisheries production (metric tons)", + "World/North Africa/MAR/Industry/Capture fisheries production (metric tons)", + "World/South Africa/MOZ/Industry/Capture fisheries production (metric tons)", + "World/South Africa/NGA/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/OMN/Industry/Capture fisheries production (metric tons)", + "World/Asia/PHL/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/SAU/Industry/Capture fisheries production (metric tons)", + "World/Asia/THA/Industry/Capture fisheries production (metric tons)", + "World/Asia/VNM/Industry/Capture fisheries production (metric tons)", + "World/Asia/BGD/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/BRA/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/CHL/Agriculture/Cereal yield (kg per hectare)", + "World/Pair/CHN/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/COL/Agriculture/Cereal yield (kg per hectare)", + "World/South Africa/GHA/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/IDN/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/IND/Agriculture/Cereal yield (kg per hectare)", + "World/North Africa/ISR/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/MEX/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/PAN/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/PER/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/PHL/Agriculture/Cereal yield (kg per hectare)", + "World/Persian Gulf/QAT/Agriculture/Cereal yield (kg per hectare)", + "World/Persian Gulf/SAU/Agriculture/Cereal yield (kg per hectare)", + "World/North Africa/TUR/Agriculture/Cereal yield (kg per hectare)", + "World/Pair/USA/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/VNM/Agriculture/Cereal yield (kg per hectare)", + "World/Europe/AUT/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/AZE/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/BGD/Environment/Combustible renewables and waste (% of total energy)", + "World/Pair/CHN/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/COL/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/DEU/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/DZA/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/GBR/Environment/Combustible renewables and waste (% of total energy)", + "World/South Africa/GHA/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/IDN/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/IND/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/KOR/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/MAR/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/MEX/Environment/Combustible renewables and waste (% of total energy)", + "World/South Africa/MOZ/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/NLD/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/PAN/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/PER/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/PHL/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/POL/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/SAU/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/SWE/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/TUR/Environment/Combustible renewables and waste (% of total energy)", + "World/Pair/USA/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/VNM/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/ARE/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/BGD/Economy/Commercial bank branches (per 100,000 adults)", + "World/Pair/CHN/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/CMR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Latam/CRI/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/DEU/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/DZA/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/EGY/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/FRA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/GBR/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/GHA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/IDN/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/IND/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/ISR/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/MAR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Latam/MEX/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/MOZ/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/NLD/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/OMN/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/POL/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/QAT/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/SEN/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/TUR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Pair/USA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/YEM/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/ZAF/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/AUT/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/AZE/Exports/Commercial service exports (current US$)", + "World/Asia/BGD/Exports/Commercial service exports (current US$)", + "World/Latam/BRA/Exports/Commercial service exports (current US$)", + "World/Latam/CHL/Exports/Commercial service exports (current US$)", + "World/Pair/CHN/Exports/Commercial service exports (current US$)", + "World/South Africa/CMR/Exports/Commercial service exports (current US$)", + "World/Latam/COL/Exports/Commercial service exports (current US$)", + "World/Latam/CRI/Exports/Commercial service exports (current US$)", + "World/Europe/DEU/Exports/Commercial service exports (current US$)", + "World/North Africa/DZA/Exports/Commercial service exports (current US$)", + "World/Europe/ESP/Exports/Commercial service exports (current US$)", + "World/Europe/FRA/Exports/Commercial service exports (current US$)", + "World/Europe/GBR/Exports/Commercial service exports (current US$)", + "World/South Africa/GHA/Exports/Commercial service exports (current US$)", + "World/Europe/GRC/Exports/Commercial service exports (current US$)", + "World/Europe/HRV/Exports/Commercial service exports (current US$)", + "World/Asia/IDN/Exports/Commercial service exports (current US$)", + "World/Asia/IND/Exports/Commercial service exports (current US$)", + "World/North Africa/ISR/Exports/Commercial service exports (current US$)", + "World/Asia/KOR/Exports/Commercial service exports (current US$)", + "World/North Africa/MAR/Exports/Commercial service exports (current US$)", + "World/Europe/NLD/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/OMN/Exports/Commercial service exports (current US$)", + "World/Latam/PAN/Exports/Commercial service exports (current US$)", + "World/Latam/PER/Exports/Commercial service exports (current US$)", + "World/Asia/PHL/Exports/Commercial service exports (current US$)", + "World/Europe/POL/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/QAT/Exports/Commercial service exports (current US$)", + "World/South Africa/SEN/Exports/Commercial service exports (current US$)", + "World/Europe/SWE/Exports/Commercial service exports (current US$)", + "World/Asia/THA/Exports/Commercial service exports (current US$)", + "World/North Africa/TUR/Exports/Commercial service exports (current US$)", + "World/Pair/USA/Exports/Commercial service exports (current US$)", + "World/Asia/VNM/Exports/Commercial service exports (current US$)", + "World/South Africa/ZAF/Exports/Commercial service exports (current US$)", + "World/Latam/ARG/Imports/Commercial service imports (current US$)", + "World/Europe/AUT/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/AZE/Imports/Commercial service imports (current US$)", + "World/Asia/BGD/Imports/Commercial service imports (current US$)", + "World/Latam/BRA/Imports/Commercial service imports (current US$)", + "World/Latam/CHL/Imports/Commercial service imports (current US$)", + "World/Pair/CHN/Imports/Commercial service imports (current US$)", + "World/South Africa/CMR/Imports/Commercial service imports (current US$)", + "World/Latam/COL/Imports/Commercial service imports (current US$)", + "World/Latam/CRI/Imports/Commercial service imports (current US$)", + "World/Europe/DEU/Imports/Commercial service imports (current US$)", + "World/North Africa/DZA/Imports/Commercial service imports (current US$)", + "World/North Africa/EGY/Imports/Commercial service imports (current US$)", + "World/Europe/ESP/Imports/Commercial service imports (current US$)", + "World/Europe/FRA/Imports/Commercial service imports (current US$)", + "World/Europe/GBR/Imports/Commercial service imports (current US$)", + "World/South Africa/GHA/Imports/Commercial service imports (current US$)", + "World/Europe/HRV/Imports/Commercial service imports (current US$)", + "World/Asia/IDN/Imports/Commercial service imports (current US$)", + "World/Asia/IND/Imports/Commercial service imports (current US$)", + "World/North Africa/ISR/Imports/Commercial service imports (current US$)", + "World/Asia/KOR/Imports/Commercial service imports (current US$)", + "World/North Africa/MAR/Imports/Commercial service imports (current US$)", + "World/Latam/MEX/Imports/Commercial service imports (current US$)", + "World/South Africa/MOZ/Imports/Commercial service imports (current US$)", + "World/South Africa/NGA/Imports/Commercial service imports (current US$)", + "World/Europe/NLD/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/OMN/Imports/Commercial service imports (current US$)", + "World/Latam/PAN/Imports/Commercial service imports (current US$)", + "World/Latam/PER/Imports/Commercial service imports (current US$)", + "World/Asia/PHL/Imports/Commercial service imports (current US$)", + "World/Europe/POL/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/QAT/Imports/Commercial service imports (current US$)", + "World/South Africa/SEN/Imports/Commercial service imports (current US$)", + "World/Europe/SWE/Imports/Commercial service imports (current US$)", + "World/Asia/THA/Imports/Commercial service imports (current US$)", + "World/North Africa/TUR/Imports/Commercial service imports (current US$)", + "World/Pair/USA/Imports/Commercial service imports (current US$)", + "World/Asia/VNM/Imports/Commercial service imports (current US$)", + "World/South Africa/ZAF/Imports/Commercial service imports (current US$)", + "World/Latam/ARG/Demoraphy/Completeness of birth registration (%)", + "World/Asia/BGD/Demoraphy/Completeness of birth registration (%)", + "World/Latam/BRA/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/CMR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/COL/Demoraphy/Completeness of birth registration (%)", + "World/Latam/CRI/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/DZA/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/EGY/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/GHA/Demoraphy/Completeness of birth registration (%)", + "World/Asia/IND/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/LBR/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/MAR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/MEX/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/MOZ/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/NGA/Demoraphy/Completeness of birth registration (%)", + "World/Latam/PAN/Demoraphy/Completeness of birth registration (%)", + "World/Latam/PER/Demoraphy/Completeness of birth registration (%)", + "World/Asia/PHL/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/TUR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/VEN/Demoraphy/Completeness of birth registration (%)", + "World/Asia/VNM/Demoraphy/Completeness of birth registration (%)", + "World/Persian Gulf/ARE/Economy/Consumer price index (2010 = 100)", + "World/Europe/AUT/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/AZE/Economy/Consumer price index (2010 = 100)", + "World/Asia/BGD/Economy/Consumer price index (2010 = 100)", + "World/Latam/BRA/Economy/Consumer price index (2010 = 100)", + "World/Latam/CHL/Economy/Consumer price index (2010 = 100)", + "World/Pair/CHN/Economy/Consumer price index (2010 = 100)", + "World/South Africa/CMR/Economy/Consumer price index (2010 = 100)", + "World/Latam/COL/Economy/Consumer price index (2010 = 100)", + "World/Latam/CRI/Economy/Consumer price index (2010 = 100)", + "World/Europe/DEU/Economy/Consumer price index (2010 = 100)", + "World/North Africa/DZA/Economy/Consumer price index (2010 = 100)", + "World/North Africa/EGY/Economy/Consumer price index (2010 = 100)", + "World/Europe/ESP/Economy/Consumer price index (2010 = 100)", + "World/Europe/FRA/Economy/Consumer price index (2010 = 100)", + "World/Europe/GBR/Economy/Consumer price index (2010 = 100)", + "World/South Africa/GHA/Economy/Consumer price index (2010 = 100)", + "World/Europe/GRC/Economy/Consumer price index (2010 = 100)", + "World/Asia/IDN/Economy/Consumer price index (2010 = 100)", + "World/Asia/IND/Economy/Consumer price index (2010 = 100)", + "World/North Africa/ISR/Economy/Consumer price index (2010 = 100)", + "World/Asia/KOR/Economy/Consumer price index (2010 = 100)", + "World/South Africa/LBR/Economy/Consumer price index (2010 = 100)", + "World/North Africa/MAR/Economy/Consumer price index (2010 = 100)", + "World/Latam/MEX/Economy/Consumer price index (2010 = 100)", + "World/South Africa/MOZ/Economy/Consumer price index (2010 = 100)", + "World/South Africa/NGA/Economy/Consumer price index (2010 = 100)", + "World/Europe/NLD/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/OMN/Economy/Consumer price index (2010 = 100)", + "World/Latam/PAN/Economy/Consumer price index (2010 = 100)", + "World/Latam/PER/Economy/Consumer price index (2010 = 100)", + "World/Asia/PHL/Economy/Consumer price index (2010 = 100)", + "World/Europe/POL/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/QAT/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/SAU/Economy/Consumer price index (2010 = 100)", + "World/South Africa/SEN/Economy/Consumer price index (2010 = 100)", + "World/Europe/SWE/Economy/Consumer price index (2010 = 100)", + "World/Asia/THA/Economy/Consumer price index (2010 = 100)", + "World/North Africa/TUR/Economy/Consumer price index (2010 = 100)", + "World/Pair/USA/Economy/Consumer price index (2010 = 100)", + "World/Latam/VEN/Economy/Consumer price index (2010 = 100)", + "World/Asia/VNM/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/YEM/Economy/Consumer price index (2010 = 100)", + "World/South Africa/ZAF/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/ARE/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/BGD/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/CHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Pair/CHN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/CMR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/COL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/CRI/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/DEU/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/ESP/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/FRA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/GBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/GHA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/IDN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/IND/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/ISR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/KOR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/LBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/MAR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/MEX/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/MOZ/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/NLD/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/OMN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/PAN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/PER/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/PHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/POL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/QAT/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/SAU/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/SWE/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/THA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/TUR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Pair/USA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/VNM/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/ZAF/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/AZE/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/BGD/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/BRA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/CHL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Pair/CHN/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/CMR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/COL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/CRI/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/DZA/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/EGY/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/GHA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/IDN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/IND/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/MAR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/MEX/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/MOZ/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/NGA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/PER/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/PHL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/SEN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/THA/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/TUR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Pair/USA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/VNM/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/ARG/Health/Current health expenditure (% of GDP)", + "World/Europe/AUT/Health/Current health expenditure (% of GDP)", + "World/Latam/CHL/Health/Current health expenditure (% of GDP)", + "World/Pair/CHN/Health/Current health expenditure (% of GDP)", + "World/South Africa/CMR/Health/Current health expenditure (% of GDP)", + "World/Latam/COL/Health/Current health expenditure (% of GDP)", + "World/Latam/CRI/Health/Current health expenditure (% of GDP)", + "World/Europe/ESP/Health/Current health expenditure (% of GDP)", + "World/Europe/FRA/Health/Current health expenditure (% of GDP)", + "World/Europe/GBR/Health/Current health expenditure (% of GDP)", + "World/Europe/GRC/Health/Current health expenditure (% of GDP)", + "World/Asia/IDN/Health/Current health expenditure (% of GDP)", + "World/Asia/IND/Health/Current health expenditure (% of GDP)", + "World/Asia/KOR/Health/Current health expenditure (% of GDP)", + "World/South Africa/MOZ/Health/Current health expenditure (% of GDP)", + "World/Europe/NLD/Health/Current health expenditure (% of GDP)", + "World/Latam/PER/Health/Current health expenditure (% of GDP)", + "World/Europe/POL/Health/Current health expenditure (% of GDP)", + "World/Europe/SWE/Health/Current health expenditure (% of GDP)", + "World/Asia/THA/Health/Current health expenditure (% of GDP)", + "World/Pair/USA/Health/Current health expenditure (% of GDP)", + "World/Asia/VNM/Health/Current health expenditure (% of GDP)", + "World/Persian Gulf/YEM/Health/Current health expenditure (% of GDP)", + "World/Persian Gulf/ARE/Health/Current health expenditure per capita (current US$)", + "World/Latam/ARG/Health/Current health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Current health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Current health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Current health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Current health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Current health expenditure per capita (current US$)", + "World/South Africa/CMR/Health/Current health expenditure per capita (current US$)", + "World/Latam/COL/Health/Current health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Current health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Current health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Current health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Current health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Current health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Current health expenditure per capita (current US$)", + "World/South Africa/GHA/Health/Current health expenditure per capita (current US$)", + "World/Europe/GRC/Health/Current health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Current health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Current health expenditure per capita (current US$)", + "World/Asia/IND/Health/Current health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Current health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Current health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Current health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Current health expenditure per capita (current US$)", + "World/Latam/MEX/Health/Current health expenditure per capita (current US$)", + "World/South Africa/MOZ/Health/Current health expenditure per capita (current US$)", + "World/South Africa/NGA/Health/Current health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/OMN/Health/Current health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Current health expenditure per capita (current US$)", + "World/Latam/PER/Health/Current health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Current health expenditure per capita (current US$)", + "World/Europe/POL/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Current health expenditure per capita (current US$)", + "World/South Africa/SEN/Health/Current health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Current health expenditure per capita (current US$)", + "World/Asia/THA/Health/Current health expenditure per capita (current US$)", + "World/Pair/USA/Health/Current health expenditure per capita (current US$)", + "World/Latam/VEN/Health/Current health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Health/Current health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/BGD/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/CHL/Economy/Customs and other import duties (% of tax revenue)", + "World/Pair/CHN/Economy/Customs and other import duties (% of tax revenue)", + "World/South Africa/CMR/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/COL/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/CRI/Economy/Customs and other import duties (% of tax revenue)", + "World/North Africa/EGY/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/ESP/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/HRV/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/IND/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/KOR/Economy/Customs and other import duties (% of tax revenue)", + "World/North Africa/MAR/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/MEX/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/PAN/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/PER/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/POL/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/THA/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/BGD/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/CHL/Economy/Domestic credit to private sector (% of GDP)", + "World/Pair/CHN/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/CMR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/COL/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/CRI/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/DEU/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/DZA/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/EGY/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/FRA/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/GRC/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/HRV/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/IND/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/KOR/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/LBR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/MEX/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/OMN/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/PER/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/POL/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/QAT/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/SAU/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/SEN/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/SWE/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/TUR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/VEN/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/VNM/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/ARE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/AZE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/BGD/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/CHL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Pair/CHN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/CMR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/COL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/CRI/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/DEU/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/DZA/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/EGY/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/GRC/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/HRV/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/IND/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/KOR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/LBR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/MAR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/MEX/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/OMN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/PAN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/PER/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/POL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/QAT/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/SAU/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/SEN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/SWE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/TUR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/VEN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/VNM/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/ARG/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/COL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/GRC/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/IND/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/MEX/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/MOZ/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/OMN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/PER/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/POL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/THA/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/TUR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Pair/USA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/ARG/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Domestic private health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/CMR/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/COL/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/EGY/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/GHA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/IND/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/NGA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/PER/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/POL/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/SEN/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/THA/Health/Domestic private health expenditure per capita (current US$)", + "World/Pair/USA/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/AUT/Environment/Electric power consumption (kWh per capita)", + "World/Asia/BGD/Environment/Electric power consumption (kWh per capita)", + "World/Latam/BRA/Environment/Electric power consumption (kWh per capita)", + "World/Latam/CHL/Environment/Electric power consumption (kWh per capita)", + "World/Pair/CHN/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/CMR/Environment/Electric power consumption (kWh per capita)", + "World/Latam/COL/Environment/Electric power consumption (kWh per capita)", + "World/Latam/CRI/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/DZA/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/EGY/Environment/Electric power consumption (kWh per capita)", + "World/Europe/GBR/Environment/Electric power consumption (kWh per capita)", + "World/Europe/GRC/Environment/Electric power consumption (kWh per capita)", + "World/Europe/HRV/Environment/Electric power consumption (kWh per capita)", + "World/Asia/IDN/Environment/Electric power consumption (kWh per capita)", + "World/Asia/IND/Environment/Electric power consumption (kWh per capita)", + "World/Asia/KOR/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/MAR/Environment/Electric power consumption (kWh per capita)", + "World/Latam/MEX/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/MOZ/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/NGA/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/OMN/Environment/Electric power consumption (kWh per capita)", + "World/Latam/PAN/Environment/Electric power consumption (kWh per capita)", + "World/Latam/PER/Environment/Electric power consumption (kWh per capita)", + "World/Asia/PHL/Environment/Electric power consumption (kWh per capita)", + "World/Europe/POL/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/SAU/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/SEN/Environment/Electric power consumption (kWh per capita)", + "World/Europe/SWE/Environment/Electric power consumption (kWh per capita)", + "World/Asia/THA/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/TUR/Environment/Electric power consumption (kWh per capita)", + "World/Asia/VNM/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/YEM/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/ARE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/CHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/COL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/GHA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/LBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/MEX/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/NGA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/PAN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/PER/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/PHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/QAT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/TUR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/GRC/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/HRV/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/SAU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Pair/USA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/ARE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/CHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/COL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/GHA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/GRC/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/HRV/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/LBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/MEX/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/NGA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/PAN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/PER/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/PHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/THA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/TUR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Pair/USA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/BGD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Pair/CHN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/CMR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/CRI/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/DEU/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/DZA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/GBR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/GHA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/IDN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/IND/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/ISR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/KOR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/MEX/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/MOZ/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/NGA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/NLD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Persian Gulf/OMN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/PAN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/PER/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/PHL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/POL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/SWE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/THA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/TUR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Pair/USA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/VEN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/BGD/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/BRA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/CHL/Environment/Energy use (kg of oil equivalent per capita)", + "World/Pair/CHN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/CRI/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/GBR/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/IDN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/IND/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/KOR/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/MAR/Environment/Energy use (kg of oil equivalent per capita)", + "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent per capita)", + "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/NLD/Environment/Energy use (kg of oil equivalent per capita)", + "World/Persian Gulf/OMN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/PAN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/PER/Environment/Energy use (kg of oil equivalent per capita)", + "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/THA/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent per capita)", + "World/Pair/USA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/VNM/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/AUT/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/AZE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/BGD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Pair/CHN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/CMR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/COL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/CRI/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/DEU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/ESP/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/FRA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/GBR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/GHA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/HRV/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/IDN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/IND/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/ISR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/KOR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/MEX/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/NLD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/PAN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/PHL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/POL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/SWE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Pair/USA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/ZAF/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/ARE/Exports/Export unit value index (2000 = 100)", + "World/Europe/AUT/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export unit value index (2000 = 100)", + "World/Asia/BGD/Exports/Export unit value index (2000 = 100)", + "World/Latam/BRA/Exports/Export unit value index (2000 = 100)", + "World/Latam/CRI/Exports/Export unit value index (2000 = 100)", + "World/Europe/DEU/Exports/Export unit value index (2000 = 100)", + "World/North Africa/DZA/Exports/Export unit value index (2000 = 100)", + "World/Europe/ESP/Exports/Export unit value index (2000 = 100)", + "World/Europe/FRA/Exports/Export unit value index (2000 = 100)", + "World/South Africa/GHA/Exports/Export unit value index (2000 = 100)", + "World/Europe/GRC/Exports/Export unit value index (2000 = 100)", + "World/Europe/HRV/Exports/Export unit value index (2000 = 100)", + "World/Latam/MEX/Exports/Export unit value index (2000 = 100)", + "World/Europe/NLD/Exports/Export unit value index (2000 = 100)", + "World/Latam/PAN/Exports/Export unit value index (2000 = 100)", + "World/Europe/POL/Exports/Export unit value index (2000 = 100)", + "World/Europe/SWE/Exports/Export unit value index (2000 = 100)", + "World/Asia/THA/Exports/Export unit value index (2000 = 100)", + "World/Asia/VNM/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/YEM/Exports/Export unit value index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/ARE/Exports/Export value index (2000 = 100)", + "World/Europe/AUT/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export value index (2000 = 100)", + "World/Asia/BGD/Exports/Export value index (2000 = 100)", + "World/Latam/BRA/Exports/Export value index (2000 = 100)", + "World/Latam/CHL/Exports/Export value index (2000 = 100)", + "World/Pair/CHN/Exports/Export value index (2000 = 100)", + "World/Latam/COL/Exports/Export value index (2000 = 100)", + "World/Latam/CRI/Exports/Export value index (2000 = 100)", + "World/Europe/DEU/Exports/Export value index (2000 = 100)", + "World/North Africa/DZA/Exports/Export value index (2000 = 100)", + "World/Europe/ESP/Exports/Export value index (2000 = 100)", + "World/Europe/FRA/Exports/Export value index (2000 = 100)", + "World/Europe/GBR/Exports/Export value index (2000 = 100)", + "World/South Africa/GHA/Exports/Export value index (2000 = 100)", + "World/Asia/IDN/Exports/Export value index (2000 = 100)", + "World/Asia/IND/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/IRQ/Exports/Export value index (2000 = 100)", + "World/Asia/KOR/Exports/Export value index (2000 = 100)", + "World/North Africa/MAR/Exports/Export value index (2000 = 100)", + "World/Latam/MEX/Exports/Export value index (2000 = 100)", + "World/South Africa/MOZ/Exports/Export value index (2000 = 100)", + "World/Europe/NLD/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/OMN/Exports/Export value index (2000 = 100)", + "World/Latam/PAN/Exports/Export value index (2000 = 100)", + "World/Latam/PER/Exports/Export value index (2000 = 100)", + "World/Asia/PHL/Exports/Export value index (2000 = 100)", + "World/Europe/POL/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/QAT/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/SAU/Exports/Export value index (2000 = 100)", + "World/South Africa/SEN/Exports/Export value index (2000 = 100)", + "World/Europe/SWE/Exports/Export value index (2000 = 100)", + "World/Asia/THA/Exports/Export value index (2000 = 100)", + "World/North Africa/TUR/Exports/Export value index (2000 = 100)", + "World/Pair/USA/Exports/Export value index (2000 = 100)", + "World/Latam/VEN/Exports/Export value index (2000 = 100)", + "World/Asia/VNM/Exports/Export value index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/ARE/Exports/Export volume index (2000 = 100)", + "World/Europe/AUT/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export volume index (2000 = 100)", + "World/Asia/BGD/Exports/Export volume index (2000 = 100)", + "World/Latam/BRA/Exports/Export volume index (2000 = 100)", + "World/Latam/CHL/Exports/Export volume index (2000 = 100)", + "World/Pair/CHN/Exports/Export volume index (2000 = 100)", + "World/Latam/COL/Exports/Export volume index (2000 = 100)", + "World/Latam/CRI/Exports/Export volume index (2000 = 100)", + "World/Europe/ESP/Exports/Export volume index (2000 = 100)", + "World/South Africa/GHA/Exports/Export volume index (2000 = 100)", + "World/Europe/GRC/Exports/Export volume index (2000 = 100)", + "World/Asia/IDN/Exports/Export volume index (2000 = 100)", + "World/Asia/IND/Exports/Export volume index (2000 = 100)", + "World/North Africa/ISR/Exports/Export volume index (2000 = 100)", + "World/Asia/KOR/Exports/Export volume index (2000 = 100)", + "World/North Africa/MAR/Exports/Export volume index (2000 = 100)", + "World/Latam/MEX/Exports/Export volume index (2000 = 100)", + "World/South Africa/MOZ/Exports/Export volume index (2000 = 100)", + "World/Europe/NLD/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/OMN/Exports/Export volume index (2000 = 100)", + "World/Latam/PAN/Exports/Export volume index (2000 = 100)", + "World/Latam/PER/Exports/Export volume index (2000 = 100)", + "World/Asia/PHL/Exports/Export volume index (2000 = 100)", + "World/Europe/POL/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/QAT/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/SAU/Exports/Export volume index (2000 = 100)", + "World/Asia/THA/Exports/Export volume index (2000 = 100)", + "World/North Africa/TUR/Exports/Export volume index (2000 = 100)", + "World/Pair/USA/Exports/Export volume index (2000 = 100)", + "World/Latam/VEN/Exports/Export volume index (2000 = 100)", + "World/Asia/VNM/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/YEM/Exports/Export volume index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export volume index (2000 = 100)", + "World/Europe/AUT/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/AZE/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/BGD/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/BRA/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/CHL/Exports/Exports of goods and services (BoP, current US$)", + "World/Pair/CHN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/COL/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/CRI/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/DEU/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/ESP/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/FRA/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/GBR/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/GHA/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/HRV/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/IDN/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/IND/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/IRQ/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/ISR/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/KOR/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/MAR/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/MEX/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/MOZ/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/NLD/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/PAN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/PER/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/PHL/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/POL/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/SEN/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/SWE/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/THA/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/TUR/Exports/Exports of goods and services (BoP, current US$)", + "World/Pair/USA/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/VEN/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/VNM/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/ZAF/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/ARE/Exports/Exports of goods and services (current US$)", + "World/Europe/AUT/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/AZE/Exports/Exports of goods and services (current US$)", + "World/Asia/BGD/Exports/Exports of goods and services (current US$)", + "World/Latam/BRA/Exports/Exports of goods and services (current US$)", + "World/Latam/CHL/Exports/Exports of goods and services (current US$)", + "World/Pair/CHN/Exports/Exports of goods and services (current US$)", + "World/Latam/COL/Exports/Exports of goods and services (current US$)", + "World/Latam/CRI/Exports/Exports of goods and services (current US$)", + "World/Europe/DEU/Exports/Exports of goods and services (current US$)", + "World/North Africa/DZA/Exports/Exports of goods and services (current US$)", + "World/Europe/ESP/Exports/Exports of goods and services (current US$)", + "World/Europe/FRA/Exports/Exports of goods and services (current US$)", + "World/Europe/GBR/Exports/Exports of goods and services (current US$)", + "World/South Africa/GHA/Exports/Exports of goods and services (current US$)", + "World/Europe/HRV/Exports/Exports of goods and services (current US$)", + "World/Asia/IDN/Exports/Exports of goods and services (current US$)", + "World/Asia/IND/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/IRQ/Exports/Exports of goods and services (current US$)", + "World/North Africa/ISR/Exports/Exports of goods and services (current US$)", + "World/Asia/KOR/Exports/Exports of goods and services (current US$)", + "World/North Africa/MAR/Exports/Exports of goods and services (current US$)", + "World/Latam/MEX/Exports/Exports of goods and services (current US$)", + "World/South Africa/MOZ/Exports/Exports of goods and services (current US$)", + "World/Europe/NLD/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/OMN/Exports/Exports of goods and services (current US$)", + "World/Latam/PAN/Exports/Exports of goods and services (current US$)", + "World/Latam/PER/Exports/Exports of goods and services (current US$)", + "World/Asia/PHL/Exports/Exports of goods and services (current US$)", + "World/Europe/POL/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/QAT/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/SAU/Exports/Exports of goods and services (current US$)", + "World/South Africa/SEN/Exports/Exports of goods and services (current US$)", + "World/Europe/SWE/Exports/Exports of goods and services (current US$)", + "World/Asia/THA/Exports/Exports of goods and services (current US$)", + "World/North Africa/TUR/Exports/Exports of goods and services (current US$)", + "World/Pair/USA/Exports/Exports of goods and services (current US$)", + "World/Latam/VEN/Exports/Exports of goods and services (current US$)", + "World/Asia/VNM/Exports/Exports of goods and services (current US$)", + "World/South Africa/ZAF/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/ARE/Economy/Final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/Final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Final consumption expenditure (current US$)", + "World/Asia/BGD/Economy/Final consumption expenditure (current US$)", + "World/Latam/BRA/Economy/Final consumption expenditure (current US$)", + "World/Latam/CHL/Economy/Final consumption expenditure (current US$)", + "World/Pair/CHN/Economy/Final consumption expenditure (current US$)", + "World/South Africa/CMR/Economy/Final consumption expenditure (current US$)", + "World/Latam/COL/Economy/Final consumption expenditure (current US$)", + "World/Latam/CRI/Economy/Final consumption expenditure (current US$)", + "World/Europe/DEU/Economy/Final consumption expenditure (current US$)", + "World/North Africa/DZA/Economy/Final consumption expenditure (current US$)", + "World/North Africa/EGY/Economy/Final consumption expenditure (current US$)", + "World/Europe/ESP/Economy/Final consumption expenditure (current US$)", + "World/Europe/FRA/Economy/Final consumption expenditure (current US$)", + "World/Europe/GBR/Economy/Final consumption expenditure (current US$)", + "World/South Africa/GHA/Economy/Final consumption expenditure (current US$)", + "World/Europe/GRC/Economy/Final consumption expenditure (current US$)", + "World/Europe/HRV/Economy/Final consumption expenditure (current US$)", + "World/Asia/IDN/Economy/Final consumption expenditure (current US$)", + "World/Asia/IND/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/Final consumption expenditure (current US$)", + "World/North Africa/ISR/Economy/Final consumption expenditure (current US$)", + "World/Asia/KOR/Economy/Final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/Final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/Final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/Final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/Final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/Final consumption expenditure (current US$)", + "World/Latam/PER/Economy/Final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/Final consumption expenditure (current US$)", + "World/Europe/POL/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/Final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/Final consumption expenditure (current US$)", + "World/Asia/THA/Economy/Final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/Final consumption expenditure (current US$)", + "World/Pair/USA/Economy/Final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/Final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/Final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/Final consumption expenditure (current US$)", + "World/Latam/ARG/R&D/Firms offering formal training (% of firms)", + "World/Latam/CHL/R&D/Firms offering formal training (% of firms)", + "World/Latam/COL/R&D/Firms offering formal training (% of firms)", + "World/Latam/CRI/R&D/Firms offering formal training (% of firms)", + "World/North Africa/EGY/R&D/Firms offering formal training (% of firms)", + "World/South Africa/GHA/R&D/Firms offering formal training (% of firms)", + "World/Europe/GRC/R&D/Firms offering formal training (% of firms)", + "World/Europe/HRV/R&D/Firms offering formal training (% of firms)", + "World/Asia/IDN/R&D/Firms offering formal training (% of firms)", + "World/Asia/IND/R&D/Firms offering formal training (% of firms)", + "World/South Africa/LBR/R&D/Firms offering formal training (% of firms)", + "World/North Africa/MAR/R&D/Firms offering formal training (% of firms)", + "World/Latam/MEX/R&D/Firms offering formal training (% of firms)", + "World/South Africa/MOZ/R&D/Firms offering formal training (% of firms)", + "World/South Africa/NGA/R&D/Firms offering formal training (% of firms)", + "World/Latam/PAN/R&D/Firms offering formal training (% of firms)", + "World/Latam/PER/R&D/Firms offering formal training (% of firms)", + "World/Asia/PHL/R&D/Firms offering formal training (% of firms)", + "World/Europe/POL/R&D/Firms offering formal training (% of firms)", + "World/South Africa/SEN/R&D/Firms offering formal training (% of firms)", + "World/Asia/THA/R&D/Firms offering formal training (% of firms)", + "World/North Africa/TUR/R&D/Firms offering formal training (% of firms)", + "World/Latam/VEN/R&D/Firms offering formal training (% of firms)", + "World/Asia/VNM/R&D/Firms offering formal training (% of firms)", + "World/Persian Gulf/YEM/R&D/Firms offering formal training (% of firms)", + "World/South Africa/ZAF/R&D/Firms offering formal training (% of firms)", + "World/Latam/ARG/Economy/Firms using banks to finance investment (% of firms)", + "World/Persian Gulf/AZE/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/BGD/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/CHL/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/CMR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/COL/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/CRI/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/EGY/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/GHA/Economy/Firms using banks to finance investment (% of firms)", + "World/Europe/GRC/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/IDN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/IND/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/LBR/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/MAR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/MEX/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/MOZ/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/NGA/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/PAN/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/PER/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/PHL/Economy/Firms using banks to finance investment (% of firms)", + "World/Europe/POL/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/SEN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/THA/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/TUR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/VEN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/VNM/Economy/Firms using banks to finance investment (% of firms)", + "World/Persian Gulf/YEM/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/ZAF/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/ARG/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/AZE/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/BGD/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/CHL/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/CMR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/COL/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/CRI/Economy/Firms using banks to finance working capital (% of firms)", + "World/North Africa/EGY/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/GHA/Economy/Firms using banks to finance working capital (% of firms)", + "World/Europe/GRC/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/IDN/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/LBR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/MEX/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/MOZ/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/NGA/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/PAN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/PER/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/PHL/Economy/Firms using banks to finance working capital (% of firms)", + "World/Europe/POL/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/SEN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/THA/Economy/Firms using banks to finance working capital (% of firms)", + "World/North Africa/TUR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/VEN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/VNM/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/YEM/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/ZAF/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions", + "World/Latam/ARG/Internet/Fixed broadband subscriptions", + "World/Europe/AUT/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions", + "World/Asia/BGD/Internet/Fixed broadband subscriptions", + "World/Latam/BRA/Internet/Fixed broadband subscriptions", + "World/Latam/CHL/Internet/Fixed broadband subscriptions", + "World/Pair/CHN/Internet/Fixed broadband subscriptions", + "World/South Africa/CMR/Internet/Fixed broadband subscriptions", + "World/Latam/COL/Internet/Fixed broadband subscriptions", + "World/Latam/CRI/Internet/Fixed broadband subscriptions", + "World/Europe/DEU/Internet/Fixed broadband subscriptions", + "World/North Africa/DZA/Internet/Fixed broadband subscriptions", + "World/North Africa/EGY/Internet/Fixed broadband subscriptions", + "World/Europe/ESP/Internet/Fixed broadband subscriptions", + "World/Europe/FRA/Internet/Fixed broadband subscriptions", + "World/Europe/GBR/Internet/Fixed broadband subscriptions", + "World/South Africa/GHA/Internet/Fixed broadband subscriptions", + "World/Europe/GRC/Internet/Fixed broadband subscriptions", + "World/Europe/HRV/Internet/Fixed broadband subscriptions", + "World/Asia/IDN/Internet/Fixed broadband subscriptions", + "World/Asia/IND/Internet/Fixed broadband subscriptions", + "World/North Africa/ISR/Internet/Fixed broadband subscriptions", + "World/Asia/KOR/Internet/Fixed broadband subscriptions", + "World/South Africa/LBR/Internet/Fixed broadband subscriptions", + "World/North Africa/MAR/Internet/Fixed broadband subscriptions", + "World/Latam/MEX/Internet/Fixed broadband subscriptions", + "World/South Africa/MOZ/Internet/Fixed broadband subscriptions", + "World/Europe/NLD/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions", + "World/Latam/PAN/Internet/Fixed broadband subscriptions", + "World/Latam/PER/Internet/Fixed broadband subscriptions", + "World/Asia/PHL/Internet/Fixed broadband subscriptions", + "World/Europe/POL/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions", + "World/South Africa/SEN/Internet/Fixed broadband subscriptions", + "World/Europe/SWE/Internet/Fixed broadband subscriptions", + "World/Asia/THA/Internet/Fixed broadband subscriptions", + "World/North Africa/TUR/Internet/Fixed broadband subscriptions", + "World/Pair/USA/Internet/Fixed broadband subscriptions", + "World/Latam/VEN/Internet/Fixed broadband subscriptions", + "World/Asia/VNM/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions", + "World/South Africa/ZAF/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/ARG/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/AUT/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/BGD/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/BRA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/CHL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Pair/CHN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/CMR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/COL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/CRI/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/DEU/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/DZA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/EGY/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/ESP/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/FRA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/GBR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/GHA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/GRC/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/HRV/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/IDN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/IND/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/ISR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/KOR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/LBR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/MAR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/MEX/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/MOZ/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/NLD/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/PAN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/PER/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/PHL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/POL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/SEN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/SWE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/THA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/TUR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Pair/USA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/VEN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/VNM/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/ZAF/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/ARE/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/AZE/Industry/Food production index (2014-2016 = 100)", + "World/Asia/BGD/Industry/Food production index (2014-2016 = 100)", + "World/Latam/BRA/Industry/Food production index (2014-2016 = 100)", + "World/Latam/CHL/Industry/Food production index (2014-2016 = 100)", + "World/Pair/CHN/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/CMR/Industry/Food production index (2014-2016 = 100)", + "World/Latam/COL/Industry/Food production index (2014-2016 = 100)", + "World/Latam/CRI/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/DZA/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/EGY/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/GHA/Industry/Food production index (2014-2016 = 100)", + "World/Asia/IDN/Industry/Food production index (2014-2016 = 100)", + "World/Asia/IND/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/ISR/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/LBR/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/MAR/Industry/Food production index (2014-2016 = 100)", + "World/Latam/MEX/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/MOZ/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/NGA/Industry/Food production index (2014-2016 = 100)", + "World/Europe/NLD/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Industry/Food production index (2014-2016 = 100)", + "World/Latam/PAN/Industry/Food production index (2014-2016 = 100)", + "World/Latam/PER/Industry/Food production index (2014-2016 = 100)", + "World/Asia/PHL/Industry/Food production index (2014-2016 = 100)", + "World/Europe/POL/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/SAU/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/SEN/Industry/Food production index (2014-2016 = 100)", + "World/Asia/THA/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/TUR/Industry/Food production index (2014-2016 = 100)", + "World/Pair/USA/Industry/Food production index (2014-2016 = 100)", + "World/Asia/VNM/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/ZAF/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/ARE/Demography/Forest area (% of land area)", + "World/Latam/ARG/Demography/Forest area (% of land area)", + "World/Europe/AUT/Demography/Forest area (% of land area)", + "World/Persian Gulf/AZE/Demography/Forest area (% of land area)", + "World/Asia/BGD/Demography/Forest area (% of land area)", + "World/Latam/BRA/Demography/Forest area (% of land area)", + "World/Latam/CHL/Demography/Forest area (% of land area)", + "World/Pair/CHN/Demography/Forest area (% of land area)", + "World/South Africa/CMR/Demography/Forest area (% of land area)", + "World/Latam/COL/Demography/Forest area (% of land area)", + "World/Latam/CRI/Demography/Forest area (% of land area)", + "World/North Africa/DZA/Demography/Forest area (% of land area)", + "World/North Africa/EGY/Demography/Forest area (% of land area)", + "World/Europe/ESP/Demography/Forest area (% of land area)", + "World/Europe/FRA/Demography/Forest area (% of land area)", + "World/Europe/GBR/Demography/Forest area (% of land area)", + "World/Europe/GRC/Demography/Forest area (% of land area)", + "World/Europe/HRV/Demography/Forest area (% of land area)", + "World/Asia/IDN/Demography/Forest area (% of land area)", + "World/Asia/IND/Demography/Forest area (% of land area)", + "World/Asia/KOR/Demography/Forest area (% of land area)", + "World/South Africa/LBR/Demography/Forest area (% of land area)", + "World/North Africa/MAR/Demography/Forest area (% of land area)", + "World/Latam/MEX/Demography/Forest area (% of land area)", + "World/South Africa/MOZ/Demography/Forest area (% of land area)", + "World/South Africa/NGA/Demography/Forest area (% of land area)", + "World/Europe/NLD/Demography/Forest area (% of land area)", + "World/Latam/PAN/Demography/Forest area (% of land area)", + "World/Latam/PER/Demography/Forest area (% of land area)", + "World/Europe/POL/Demography/Forest area (% of land area)", + "World/South Africa/SEN/Demography/Forest area (% of land area)", + "World/North Africa/TUR/Demography/Forest area (% of land area)", + "World/Pair/USA/Demography/Forest area (% of land area)", + "World/Latam/VEN/Demography/Forest area (% of land area)", + "World/Asia/VNM/Demography/Forest area (% of land area)", + "World/South Africa/ZAF/Demography/Forest area (% of land area)", + "World/Persian Gulf/ARE/Principal/GDP deflator (base year varies by country)", + "World/Europe/AUT/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/AZE/Principal/GDP deflator (base year varies by country)", + "World/Asia/BGD/Principal/GDP deflator (base year varies by country)", + "World/Latam/BRA/Principal/GDP deflator (base year varies by country)", + "World/Latam/CHL/Principal/GDP deflator (base year varies by country)", + "World/Pair/CHN/Principal/GDP deflator (base year varies by country)", + "World/South Africa/CMR/Principal/GDP deflator (base year varies by country)", + "World/Latam/COL/Principal/GDP deflator (base year varies by country)", + "World/Latam/CRI/Principal/GDP deflator (base year varies by country)", + "World/Europe/DEU/Principal/GDP deflator (base year varies by country)", + "World/North Africa/DZA/Principal/GDP deflator (base year varies by country)", + "World/North Africa/EGY/Principal/GDP deflator (base year varies by country)", + "World/Europe/ESP/Principal/GDP deflator (base year varies by country)", + "World/Europe/FRA/Principal/GDP deflator (base year varies by country)", + "World/Europe/GBR/Principal/GDP deflator (base year varies by country)", + "World/South Africa/GHA/Principal/GDP deflator (base year varies by country)", + "World/Europe/GRC/Principal/GDP deflator (base year varies by country)", + "World/Europe/HRV/Principal/GDP deflator (base year varies by country)", + "World/Asia/IDN/Principal/GDP deflator (base year varies by country)", + "World/Asia/IND/Principal/GDP deflator (base year varies by country)", + "World/North Africa/ISR/Principal/GDP deflator (base year varies by country)", + "World/Asia/KOR/Principal/GDP deflator (base year varies by country)", + "World/South Africa/LBR/Principal/GDP deflator (base year varies by country)", + "World/North Africa/MAR/Principal/GDP deflator (base year varies by country)", + "World/Latam/MEX/Principal/GDP deflator (base year varies by country)", + "World/South Africa/MOZ/Principal/GDP deflator (base year varies by country)", + "World/South Africa/NGA/Principal/GDP deflator (base year varies by country)", + "World/Europe/NLD/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/OMN/Principal/GDP deflator (base year varies by country)", + "World/Latam/PAN/Principal/GDP deflator (base year varies by country)", + "World/Latam/PER/Principal/GDP deflator (base year varies by country)", + "World/Asia/PHL/Principal/GDP deflator (base year varies by country)", + "World/Europe/POL/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/QAT/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/SAU/Principal/GDP deflator (base year varies by country)", + "World/South Africa/SEN/Principal/GDP deflator (base year varies by country)", + "World/Asia/THA/Principal/GDP deflator (base year varies by country)", + "World/North Africa/TUR/Principal/GDP deflator (base year varies by country)", + "World/Pair/USA/Principal/GDP deflator (base year varies by country)", + "World/Latam/VEN/Principal/GDP deflator (base year varies by country)", + "World/Asia/VNM/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/YEM/Principal/GDP deflator (base year varies by country)", + "World/South Africa/ZAF/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/ARE/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/AUT/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/AZE/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/BGD/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/BRA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/CHL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Pair/CHN/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/CMR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/COL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/CRI/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/DEU/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/DZA/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/EGY/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/ESP/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/FRA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/GBR/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/GHA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/GRC/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/HRV/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/IDN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/IND/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/ISR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/KOR/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/LBR/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/MAR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/MEX/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/MOZ/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/NGA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/NLD/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/OMN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/PAN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/PER/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/PHL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/POL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/QAT/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/SAU/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/SEN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/THA/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/TUR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Pair/USA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/VEN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/VNM/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/YEM/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/ZAF/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/ARE/Principal/GDP per capita (current US$)", + "World/Latam/ARG/Principal/GDP per capita (current US$)", + "World/Europe/AUT/Principal/GDP per capita (current US$)", + "World/Persian Gulf/AZE/Principal/GDP per capita (current US$)", + "World/Asia/BGD/Principal/GDP per capita (current US$)", + "World/Latam/BRA/Principal/GDP per capita (current US$)", + "World/Latam/CHL/Principal/GDP per capita (current US$)", + "World/Pair/CHN/Principal/GDP per capita (current US$)", + "World/South Africa/CMR/Principal/GDP per capita (current US$)", + "World/Latam/COL/Principal/GDP per capita (current US$)", + "World/Latam/CRI/Principal/GDP per capita (current US$)", + "World/Europe/DEU/Principal/GDP per capita (current US$)", + "World/North Africa/DZA/Principal/GDP per capita (current US$)", + "World/North Africa/EGY/Principal/GDP per capita (current US$)", + "World/Europe/ESP/Principal/GDP per capita (current US$)", + "World/Europe/FRA/Principal/GDP per capita (current US$)", + "World/Europe/GBR/Principal/GDP per capita (current US$)", + "World/South Africa/GHA/Principal/GDP per capita (current US$)", + "World/Europe/GRC/Principal/GDP per capita (current US$)", + "World/Europe/HRV/Principal/GDP per capita (current US$)", + "World/Asia/IDN/Principal/GDP per capita (current US$)", + "World/Asia/IND/Principal/GDP per capita (current US$)", + "World/Persian Gulf/IRQ/Principal/GDP per capita (current US$)", + "World/North Africa/ISR/Principal/GDP per capita (current US$)", + "World/Asia/KOR/Principal/GDP per capita (current US$)", + "World/North Africa/MAR/Principal/GDP per capita (current US$)", + "World/Latam/MEX/Principal/GDP per capita (current US$)", + "World/South Africa/MOZ/Principal/GDP per capita (current US$)", + "World/South Africa/NGA/Principal/GDP per capita (current US$)", + "World/Europe/NLD/Principal/GDP per capita (current US$)", + "World/Persian Gulf/OMN/Principal/GDP per capita (current US$)", + "World/Latam/PAN/Principal/GDP per capita (current US$)", + "World/Latam/PER/Principal/GDP per capita (current US$)", + "World/Asia/PHL/Principal/GDP per capita (current US$)", + "World/Europe/POL/Principal/GDP per capita (current US$)", + "World/Persian Gulf/QAT/Principal/GDP per capita (current US$)", + "World/Persian Gulf/SAU/Principal/GDP per capita (current US$)", + "World/South Africa/SEN/Principal/GDP per capita (current US$)", + "World/Europe/SWE/Principal/GDP per capita (current US$)", + "World/Asia/THA/Principal/GDP per capita (current US$)", + "World/North Africa/TUR/Principal/GDP per capita (current US$)", + "World/Pair/USA/Principal/GDP per capita (current US$)", + "World/Latam/VEN/Principal/GDP per capita (current US$)", + "World/Asia/VNM/Principal/GDP per capita (current US$)", + "World/Persian Gulf/YEM/Principal/GDP per capita (current US$)", + "World/South Africa/ZAF/Principal/GDP per capita (current US$)", + "World/Persian Gulf/ARE/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/ARG/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/AZE/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/BGD/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/BRA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/CHL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Pair/CHN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/CMR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/COL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/CRI/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/EGY/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/FRA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/GBR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/GHA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/GRC/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/IDN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/IND/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/ISR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/KOR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/MAR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/MOZ/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/NGA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/OMN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/PAN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/PER/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/PHL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/POL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/QAT/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/SAU/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/SEN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/THA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/TUR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Pair/USA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/VNM/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/ZAF/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/ARG/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/AUT/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Persian Gulf/AZE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/BGD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/BRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/CHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Pair/CHN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/CMR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/COL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/CRI/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/DEU/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/EGY/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/ESP/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/FRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/GBR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/GHA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/HRV/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/IDN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/IND/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/ISR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/KOR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/MAR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/MEX/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/MOZ/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/NGA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/NLD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/PAN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/PHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/POL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/SWE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/THA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/TUR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Pair/USA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/VNM/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/ZAF/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/AUT/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/AZE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/BGD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Pair/CHN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/CMR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/COL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/CRI/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/DEU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/DZA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/ESP/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/FRA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/GBR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/GHA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/HRV/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/IDN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/IND/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/ISR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/KOR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/MEX/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/MOZ/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/NGA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/NLD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/PAN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/PHL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/POL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/SAU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/SWE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/TUR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Pair/USA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/ZAF/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/ARE/Economy/GNI (current US$)", + "World/Latam/ARG/Economy/GNI (current US$)", + "World/Europe/AUT/Economy/GNI (current US$)", + "World/Persian Gulf/AZE/Economy/GNI (current US$)", + "World/Asia/BGD/Economy/GNI (current US$)", + "World/Latam/BRA/Economy/GNI (current US$)", + "World/Latam/CHL/Economy/GNI (current US$)", + "World/Pair/CHN/Economy/GNI (current US$)", + "World/South Africa/CMR/Economy/GNI (current US$)", + "World/Latam/COL/Economy/GNI (current US$)", + "World/Latam/CRI/Economy/GNI (current US$)", + "World/Europe/DEU/Economy/GNI (current US$)", + "World/North Africa/DZA/Economy/GNI (current US$)", + "World/North Africa/EGY/Economy/GNI (current US$)", + "World/Europe/ESP/Economy/GNI (current US$)", + "World/Europe/FRA/Economy/GNI (current US$)", + "World/Europe/GBR/Economy/GNI (current US$)", + "World/South Africa/GHA/Economy/GNI (current US$)", + "World/Europe/HRV/Economy/GNI (current US$)", + "World/Asia/IDN/Economy/GNI (current US$)", + "World/Asia/IND/Economy/GNI (current US$)", + "World/Persian Gulf/IRQ/Economy/GNI (current US$)", + "World/North Africa/ISR/Economy/GNI (current US$)", + "World/Asia/KOR/Economy/GNI (current US$)", + "World/South Africa/LBR/Economy/GNI (current US$)", + "World/North Africa/MAR/Economy/GNI (current US$)", + "World/Latam/MEX/Economy/GNI (current US$)", + "World/South Africa/MOZ/Economy/GNI (current US$)", + "World/South Africa/NGA/Economy/GNI (current US$)", + "World/Europe/NLD/Economy/GNI (current US$)", + "World/Persian Gulf/OMN/Economy/GNI (current US$)", + "World/Latam/PAN/Economy/GNI (current US$)", + "World/Latam/PER/Economy/GNI (current US$)", + "World/Asia/PHL/Economy/GNI (current US$)", + "World/Europe/POL/Economy/GNI (current US$)", + "World/Persian Gulf/QAT/Economy/GNI (current US$)", + "World/Persian Gulf/SAU/Economy/GNI (current US$)", + "World/South Africa/SEN/Economy/GNI (current US$)", + "World/Europe/SWE/Economy/GNI (current US$)", + "World/Asia/THA/Economy/GNI (current US$)", + "World/North Africa/TUR/Economy/GNI (current US$)", + "World/Pair/USA/Economy/GNI (current US$)", + "World/Latam/VEN/Economy/GNI (current US$)", + "World/Asia/VNM/Economy/GNI (current US$)", + "World/Persian Gulf/YEM/Economy/GNI (current US$)", + "World/South Africa/ZAF/Economy/GNI (current US$)", + "World/Persian Gulf/ARE/Economy/General government final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/General government final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/General government final consumption expenditure (current US$)", + "World/Asia/BGD/Economy/General government final consumption expenditure (current US$)", + "World/Latam/BRA/Economy/General government final consumption expenditure (current US$)", + "World/Latam/CHL/Economy/General government final consumption expenditure (current US$)", + "World/Pair/CHN/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/CMR/Economy/General government final consumption expenditure (current US$)", + "World/Latam/COL/Economy/General government final consumption expenditure (current US$)", + "World/Latam/CRI/Economy/General government final consumption expenditure (current US$)", + "World/Europe/DEU/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/DZA/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/EGY/Economy/General government final consumption expenditure (current US$)", + "World/Europe/ESP/Economy/General government final consumption expenditure (current US$)", + "World/Europe/FRA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/GBR/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/GHA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/GRC/Economy/General government final consumption expenditure (current US$)", + "World/Europe/HRV/Economy/General government final consumption expenditure (current US$)", + "World/Asia/IDN/Economy/General government final consumption expenditure (current US$)", + "World/Asia/IND/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/ISR/Economy/General government final consumption expenditure (current US$)", + "World/Asia/KOR/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/General government final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/General government final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/General government final consumption expenditure (current US$)", + "World/Latam/PER/Economy/General government final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/General government final consumption expenditure (current US$)", + "World/Europe/POL/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/General government final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/General government final consumption expenditure (current US$)", + "World/Asia/THA/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/General government final consumption expenditure (current US$)", + "World/Pair/USA/Economy/General government final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/General government final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/General government final consumption expenditure (current US$)", + "World/Europe/AUT/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/AZE/Exports/Goods exports (BoP, current US$)", + "World/Asia/BGD/Exports/Goods exports (BoP, current US$)", + "World/Latam/BRA/Exports/Goods exports (BoP, current US$)", + "World/Latam/CHL/Exports/Goods exports (BoP, current US$)", + "World/Pair/CHN/Exports/Goods exports (BoP, current US$)", + "World/Latam/COL/Exports/Goods exports (BoP, current US$)", + "World/Latam/CRI/Exports/Goods exports (BoP, current US$)", + "World/Europe/DEU/Exports/Goods exports (BoP, current US$)", + "World/Europe/ESP/Exports/Goods exports (BoP, current US$)", + "World/Europe/FRA/Exports/Goods exports (BoP, current US$)", + "World/Europe/GBR/Exports/Goods exports (BoP, current US$)", + "World/South Africa/GHA/Exports/Goods exports (BoP, current US$)", + "World/Asia/IDN/Exports/Goods exports (BoP, current US$)", + "World/Asia/IND/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/IRQ/Exports/Goods exports (BoP, current US$)", + "World/North Africa/ISR/Exports/Goods exports (BoP, current US$)", + "World/Asia/KOR/Exports/Goods exports (BoP, current US$)", + "World/South Africa/LBR/Exports/Goods exports (BoP, current US$)", + "World/North Africa/MAR/Exports/Goods exports (BoP, current US$)", + "World/Latam/MEX/Exports/Goods exports (BoP, current US$)", + "World/South Africa/MOZ/Exports/Goods exports (BoP, current US$)", + "World/Europe/NLD/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/Goods exports (BoP, current US$)", + "World/Latam/PER/Exports/Goods exports (BoP, current US$)", + "World/Asia/PHL/Exports/Goods exports (BoP, current US$)", + "World/Europe/POL/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/Goods exports (BoP, current US$)", + "World/South Africa/SEN/Exports/Goods exports (BoP, current US$)", + "World/Europe/SWE/Exports/Goods exports (BoP, current US$)", + "World/Asia/THA/Exports/Goods exports (BoP, current US$)", + "World/North Africa/TUR/Exports/Goods exports (BoP, current US$)", + "World/Pair/USA/Exports/Goods exports (BoP, current US$)", + "World/Latam/VEN/Exports/Goods exports (BoP, current US$)", + "World/Asia/VNM/Exports/Goods exports (BoP, current US$)", + "World/South Africa/ZAF/Exports/Goods exports (BoP, current US$)", + "World/Latam/ARG/Imports/Goods imports (BoP, current US$)", + "World/Europe/AUT/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/AZE/Imports/Goods imports (BoP, current US$)", + "World/Asia/BGD/Imports/Goods imports (BoP, current US$)", + "World/Latam/BRA/Imports/Goods imports (BoP, current US$)", + "World/Latam/CHL/Imports/Goods imports (BoP, current US$)", + "World/Pair/CHN/Imports/Goods imports (BoP, current US$)", + "World/Latam/COL/Imports/Goods imports (BoP, current US$)", + "World/Latam/CRI/Imports/Goods imports (BoP, current US$)", + "World/Europe/DEU/Imports/Goods imports (BoP, current US$)", + "World/North Africa/DZA/Imports/Goods imports (BoP, current US$)", + "World/North Africa/EGY/Imports/Goods imports (BoP, current US$)", + "World/Europe/ESP/Imports/Goods imports (BoP, current US$)", + "World/Europe/FRA/Imports/Goods imports (BoP, current US$)", + "World/Europe/GBR/Imports/Goods imports (BoP, current US$)", + "World/South Africa/GHA/Imports/Goods imports (BoP, current US$)", + "World/Europe/GRC/Imports/Goods imports (BoP, current US$)", + "World/Europe/HRV/Imports/Goods imports (BoP, current US$)", + "World/Asia/IDN/Imports/Goods imports (BoP, current US$)", + "World/Asia/IND/Imports/Goods imports (BoP, current US$)", + "World/North Africa/ISR/Imports/Goods imports (BoP, current US$)", + "World/Asia/KOR/Imports/Goods imports (BoP, current US$)", + "World/South Africa/LBR/Imports/Goods imports (BoP, current US$)", + "World/North Africa/MAR/Imports/Goods imports (BoP, current US$)", + "World/Latam/MEX/Imports/Goods imports (BoP, current US$)", + "World/South Africa/MOZ/Imports/Goods imports (BoP, current US$)", + "World/South Africa/NGA/Imports/Goods imports (BoP, current US$)", + "World/Europe/NLD/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Goods imports (BoP, current US$)", + "World/Latam/PER/Imports/Goods imports (BoP, current US$)", + "World/Asia/PHL/Imports/Goods imports (BoP, current US$)", + "World/Europe/POL/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/SAU/Imports/Goods imports (BoP, current US$)", + "World/South Africa/SEN/Imports/Goods imports (BoP, current US$)", + "World/Europe/SWE/Imports/Goods imports (BoP, current US$)", + "World/Asia/THA/Imports/Goods imports (BoP, current US$)", + "World/North Africa/TUR/Imports/Goods imports (BoP, current US$)", + "World/Pair/USA/Imports/Goods imports (BoP, current US$)", + "World/Asia/VNM/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/YEM/Imports/Goods imports (BoP, current US$)", + "World/South Africa/ZAF/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/ARE/Economy/Gross capital formation (current US$)", + "World/Latam/ARG/Economy/Gross capital formation (current US$)", + "World/Europe/AUT/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/AZE/Economy/Gross capital formation (current US$)", + "World/Asia/BGD/Economy/Gross capital formation (current US$)", + "World/Latam/BRA/Economy/Gross capital formation (current US$)", + "World/Latam/CHL/Economy/Gross capital formation (current US$)", + "World/Pair/CHN/Economy/Gross capital formation (current US$)", + "World/South Africa/CMR/Economy/Gross capital formation (current US$)", + "World/Latam/COL/Economy/Gross capital formation (current US$)", + "World/Latam/CRI/Economy/Gross capital formation (current US$)", + "World/Europe/DEU/Economy/Gross capital formation (current US$)", + "World/North Africa/DZA/Economy/Gross capital formation (current US$)", + "World/North Africa/EGY/Economy/Gross capital formation (current US$)", + "World/Europe/ESP/Economy/Gross capital formation (current US$)", + "World/Europe/FRA/Economy/Gross capital formation (current US$)", + "World/Europe/GBR/Economy/Gross capital formation (current US$)", + "World/South Africa/GHA/Economy/Gross capital formation (current US$)", + "World/Europe/HRV/Economy/Gross capital formation (current US$)", + "World/Asia/IDN/Economy/Gross capital formation (current US$)", + "World/Asia/IND/Economy/Gross capital formation (current US$)", + "World/North Africa/ISR/Economy/Gross capital formation (current US$)", + "World/Asia/KOR/Economy/Gross capital formation (current US$)", + "World/North Africa/MAR/Economy/Gross capital formation (current US$)", + "World/Latam/MEX/Economy/Gross capital formation (current US$)", + "World/South Africa/MOZ/Economy/Gross capital formation (current US$)", + "World/South Africa/NGA/Economy/Gross capital formation (current US$)", + "World/Europe/NLD/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/OMN/Economy/Gross capital formation (current US$)", + "World/Latam/PAN/Economy/Gross capital formation (current US$)", + "World/Latam/PER/Economy/Gross capital formation (current US$)", + "World/Asia/PHL/Economy/Gross capital formation (current US$)", + "World/Europe/POL/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/QAT/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/SAU/Economy/Gross capital formation (current US$)", + "World/South Africa/SEN/Economy/Gross capital formation (current US$)", + "World/Europe/SWE/Economy/Gross capital formation (current US$)", + "World/Asia/THA/Economy/Gross capital formation (current US$)", + "World/North Africa/TUR/Economy/Gross capital formation (current US$)", + "World/Pair/USA/Economy/Gross capital formation (current US$)", + "World/Latam/VEN/Economy/Gross capital formation (current US$)", + "World/Asia/VNM/Economy/Gross capital formation (current US$)", + "World/South Africa/ZAF/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/ARE/Economy/Gross domestic savings (current US$)", + "World/Latam/ARG/Economy/Gross domestic savings (current US$)", + "World/Europe/AUT/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/AZE/Economy/Gross domestic savings (current US$)", + "World/Asia/BGD/Economy/Gross domestic savings (current US$)", + "World/Latam/BRA/Economy/Gross domestic savings (current US$)", + "World/Latam/CHL/Economy/Gross domestic savings (current US$)", + "World/Pair/CHN/Economy/Gross domestic savings (current US$)", + "World/South Africa/CMR/Economy/Gross domestic savings (current US$)", + "World/Latam/COL/Economy/Gross domestic savings (current US$)", + "World/Latam/CRI/Economy/Gross domestic savings (current US$)", + "World/Europe/DEU/Economy/Gross domestic savings (current US$)", + "World/North Africa/DZA/Economy/Gross domestic savings (current US$)", + "World/Europe/ESP/Economy/Gross domestic savings (current US$)", + "World/Europe/FRA/Economy/Gross domestic savings (current US$)", + "World/Europe/GBR/Economy/Gross domestic savings (current US$)", + "World/Europe/HRV/Economy/Gross domestic savings (current US$)", + "World/Asia/IDN/Economy/Gross domestic savings (current US$)", + "World/Asia/IND/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/IRQ/Economy/Gross domestic savings (current US$)", + "World/North Africa/ISR/Economy/Gross domestic savings (current US$)", + "World/Asia/KOR/Economy/Gross domestic savings (current US$)", + "World/North Africa/MAR/Economy/Gross domestic savings (current US$)", + "World/Latam/MEX/Economy/Gross domestic savings (current US$)", + "World/South Africa/NGA/Economy/Gross domestic savings (current US$)", + "World/Europe/NLD/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/OMN/Economy/Gross domestic savings (current US$)", + "World/Latam/PAN/Economy/Gross domestic savings (current US$)", + "World/Latam/PER/Economy/Gross domestic savings (current US$)", + "World/Asia/PHL/Economy/Gross domestic savings (current US$)", + "World/Europe/POL/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/QAT/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/SAU/Economy/Gross domestic savings (current US$)", + "World/South Africa/SEN/Economy/Gross domestic savings (current US$)", + "World/Europe/SWE/Economy/Gross domestic savings (current US$)", + "World/Asia/THA/Economy/Gross domestic savings (current US$)", + "World/North Africa/TUR/Economy/Gross domestic savings (current US$)", + "World/Pair/USA/Economy/Gross domestic savings (current US$)", + "World/Asia/VNM/Economy/Gross domestic savings (current US$)", + "World/South Africa/ZAF/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/ARE/Economy/Gross fixed capital formation (current US$)", + "World/Latam/ARG/Economy/Gross fixed capital formation (current US$)", + "World/Europe/AUT/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/AZE/Economy/Gross fixed capital formation (current US$)", + "World/Asia/BGD/Economy/Gross fixed capital formation (current US$)", + "World/Latam/BRA/Economy/Gross fixed capital formation (current US$)", + "World/Latam/CHL/Economy/Gross fixed capital formation (current US$)", + "World/Pair/CHN/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/CMR/Economy/Gross fixed capital formation (current US$)", + "World/Latam/COL/Economy/Gross fixed capital formation (current US$)", + "World/Latam/CRI/Economy/Gross fixed capital formation (current US$)", + "World/Europe/DEU/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/DZA/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/EGY/Economy/Gross fixed capital formation (current US$)", + "World/Europe/FRA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/GBR/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/GHA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/HRV/Economy/Gross fixed capital formation (current US$)", + "World/Asia/IDN/Economy/Gross fixed capital formation (current US$)", + "World/Asia/IND/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/ISR/Economy/Gross fixed capital formation (current US$)", + "World/Asia/KOR/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/MAR/Economy/Gross fixed capital formation (current US$)", + "World/Latam/MEX/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/MOZ/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/NGA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/NLD/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/OMN/Economy/Gross fixed capital formation (current US$)", + "World/Latam/PAN/Economy/Gross fixed capital formation (current US$)", + "World/Latam/PER/Economy/Gross fixed capital formation (current US$)", + "World/Asia/PHL/Economy/Gross fixed capital formation (current US$)", + "World/Europe/POL/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/SAU/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/SEN/Economy/Gross fixed capital formation (current US$)", + "World/Europe/SWE/Economy/Gross fixed capital formation (current US$)", + "World/Asia/THA/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/TUR/Economy/Gross fixed capital formation (current US$)", + "World/Pair/USA/Economy/Gross fixed capital formation (current US$)", + "World/Latam/VEN/Economy/Gross fixed capital formation (current US$)", + "World/Asia/VNM/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/ZAF/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/ARE/Economy/Gross national expenditure (current US$)", + "World/Latam/ARG/Economy/Gross national expenditure (current US$)", + "World/Europe/AUT/Economy/Gross national expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Gross national expenditure (current US$)", + "World/Asia/BGD/Economy/Gross national expenditure (current US$)", + "World/Latam/BRA/Economy/Gross national expenditure (current US$)", + "World/Latam/CHL/Economy/Gross national expenditure (current US$)", + "World/Pair/CHN/Economy/Gross national expenditure (current US$)", + "World/South Africa/CMR/Economy/Gross national expenditure (current US$)", + "World/Latam/COL/Economy/Gross national expenditure (current US$)", + "World/Latam/CRI/Economy/Gross national expenditure (current US$)", + "World/Europe/DEU/Economy/Gross national expenditure (current US$)", + "World/North Africa/DZA/Economy/Gross national expenditure (current US$)", + "World/North Africa/EGY/Economy/Gross national expenditure (current US$)", + "World/Europe/ESP/Economy/Gross national expenditure (current US$)", + "World/Europe/FRA/Economy/Gross national expenditure (current US$)", + "World/Europe/GBR/Economy/Gross national expenditure (current US$)", + "World/South Africa/GHA/Economy/Gross national expenditure (current US$)", + "World/Europe/GRC/Economy/Gross national expenditure (current US$)", + "World/Europe/HRV/Economy/Gross national expenditure (current US$)", + "World/Asia/IDN/Economy/Gross national expenditure (current US$)", + "World/Asia/IND/Economy/Gross national expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/Gross national expenditure (current US$)", + "World/North Africa/ISR/Economy/Gross national expenditure (current US$)", + "World/Asia/KOR/Economy/Gross national expenditure (current US$)", + "World/North Africa/MAR/Economy/Gross national expenditure (current US$)", + "World/Latam/MEX/Economy/Gross national expenditure (current US$)", + "World/South Africa/MOZ/Economy/Gross national expenditure (current US$)", + "World/South Africa/NGA/Economy/Gross national expenditure (current US$)", + "World/Europe/NLD/Economy/Gross national expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Gross national 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prices (GVA) (current US$)", + "World/Europe/GBR/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/GHA/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/GRC/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/HRV/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Asia/IDN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Asia/IND/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Persian Gulf/IRQ/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/North Africa/ISR/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Asia/KOR/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/North Africa/MAR/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Latam/MEX/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/MOZ/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/NGA/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/NLD/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Persian Gulf/OMN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Latam/PAN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Latam/PER/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/POL/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Persian Gulf/SAU/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/SEN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/SWE/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/North Africa/TUR/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Pair/USA/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Latam/VEN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Asia/VNM/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Persian Gulf/YEM/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/ZAF/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/AUT/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/DEU/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/ESP/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/GBR/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Environment/HFC gas emissions (thousand metric tons 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Gulf/AZE/Health/Hospital beds (per 1,000 people)", + "World/Asia/BGD/Health/Hospital beds (per 1,000 people)", + "World/Latam/BRA/Health/Hospital beds (per 1,000 people)", + "World/Latam/CHL/Health/Hospital beds (per 1,000 people)", + "World/Pair/CHN/Health/Hospital beds (per 1,000 people)", + "World/South Africa/CMR/Health/Hospital beds (per 1,000 people)", + "World/Latam/COL/Health/Hospital beds (per 1,000 people)", + "World/Latam/CRI/Health/Hospital beds (per 1,000 people)", + "World/Europe/DEU/Health/Hospital beds (per 1,000 people)", + "World/North Africa/EGY/Health/Hospital beds (per 1,000 people)", + "World/Europe/ESP/Health/Hospital beds (per 1,000 people)", + "World/Europe/FRA/Health/Hospital beds (per 1,000 people)", + "World/Europe/GBR/Health/Hospital beds (per 1,000 people)", + "World/North Africa/ISR/Health/Hospital beds (per 1,000 people)", + "World/Asia/KOR/Health/Hospital beds (per 1,000 people)", + "World/South Africa/LBR/Health/Hospital beds (per 1,000 people)", + "World/Latam/MEX/Health/Hospital beds (per 1,000 people)", + "World/South Africa/MOZ/Health/Hospital beds (per 1,000 people)", + "World/South Africa/NGA/Health/Hospital beds (per 1,000 people)", + "World/Europe/NLD/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/OMN/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/SAU/Health/Hospital beds (per 1,000 people)", + "World/North Africa/TUR/Health/Hospital beds (per 1,000 people)", + "World/Pair/USA/Health/Hospital beds (per 1,000 people)", + "World/South Africa/ZAF/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/ARE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/BGD/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/BRA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/CHL/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Pair/CHN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/CMR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/COL/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/CRI/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/DEU/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/DZA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/EGY/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/ESP/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/FRA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/GBR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/GHA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/GRC/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/HRV/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/IDN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/IND/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/ISR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/KOR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/PER/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/POL/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/THA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Pair/USA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/AUT/Exports/ICT service exports (BoP, current US$)", + "World/Asia/BGD/Exports/ICT service exports (BoP, current US$)", + "World/Latam/CHL/Exports/ICT service exports (BoP, current US$)", + "World/Pair/CHN/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/CMR/Exports/ICT service exports (BoP, current US$)", + "World/Latam/CRI/Exports/ICT service exports (BoP, current US$)", + "World/Europe/DEU/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/DZA/Exports/ICT service exports (BoP, current US$)", + "World/Europe/ESP/Exports/ICT service exports (BoP, current US$)", + "World/Europe/GBR/Exports/ICT service exports (BoP, current US$)", + "World/Europe/GRC/Exports/ICT service exports (BoP, current US$)", + "World/Europe/HRV/Exports/ICT service exports (BoP, current US$)", + "World/Asia/IND/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/ISR/Exports/ICT service exports (BoP, current US$)", + "World/Asia/KOR/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/MAR/Exports/ICT service exports (BoP, current US$)", + "World/Latam/MEX/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/NGA/Exports/ICT service exports (BoP, current US$)", + "World/Europe/NLD/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/ICT service exports (BoP, current US$)", + "World/Latam/PAN/Exports/ICT service exports (BoP, current US$)", + "World/Europe/POL/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/QAT/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/ICT service exports (BoP, current US$)", + "World/Europe/SWE/Exports/ICT service exports (BoP, current US$)", + "World/Asia/THA/Exports/ICT service exports (BoP, current US$)", + "World/Pair/USA/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/ZAF/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/ARE/Imports/Import unit value index (2000 = 100)", + "World/Europe/AUT/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import unit value index (2000 = 100)", + "World/Asia/BGD/Imports/Import unit value index (2000 = 100)", + "World/Latam/CRI/Imports/Import unit value index (2000 = 100)", + "World/Europe/DEU/Imports/Import unit value index (2000 = 100)", + "World/North Africa/EGY/Imports/Import unit value index (2000 = 100)", + "World/Europe/ESP/Imports/Import unit value index (2000 = 100)", + "World/Europe/FRA/Imports/Import unit value index (2000 = 100)", + "World/Europe/GRC/Imports/Import unit value index (2000 = 100)", + "World/Europe/HRV/Imports/Import unit value index (2000 = 100)", + "World/Latam/MEX/Imports/Import unit value index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import unit value index (2000 = 100)", + "World/Europe/NLD/Imports/Import unit value index (2000 = 100)", + "World/Latam/PAN/Imports/Import unit value index (2000 = 100)", + "World/Europe/POL/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import unit value index (2000 = 100)", + "World/Europe/SWE/Imports/Import unit value index (2000 = 100)", + "World/Asia/THA/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/ARE/Imports/Import value index (2000 = 100)", + "World/Latam/ARG/Imports/Import value index (2000 = 100)", + "World/Europe/AUT/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import value index (2000 = 100)", + "World/Asia/BGD/Imports/Import value index (2000 = 100)", + "World/Latam/BRA/Imports/Import value index (2000 = 100)", + "World/Latam/CHL/Imports/Import value index (2000 = 100)", + "World/Pair/CHN/Imports/Import value index (2000 = 100)", + "World/Latam/COL/Imports/Import value index (2000 = 100)", + "World/Latam/CRI/Imports/Import value index (2000 = 100)", + "World/Europe/DEU/Imports/Import value index (2000 = 100)", + "World/North Africa/DZA/Imports/Import value index (2000 = 100)", + "World/North Africa/EGY/Imports/Import value index (2000 = 100)", + "World/Europe/ESP/Imports/Import value index (2000 = 100)", + "World/Europe/FRA/Imports/Import value index (2000 = 100)", + "World/Europe/GBR/Imports/Import value index (2000 = 100)", + "World/Europe/GRC/Imports/Import value index (2000 = 100)", + "World/Europe/HRV/Imports/Import value index (2000 = 100)", + "World/Asia/IDN/Imports/Import value index (2000 = 100)", + "World/Asia/IND/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/IRQ/Imports/Import value index (2000 = 100)", + "World/North Africa/ISR/Imports/Import value index (2000 = 100)", + "World/Asia/KOR/Imports/Import value index (2000 = 100)", + "World/North Africa/MAR/Imports/Import value index (2000 = 100)", + "World/Latam/MEX/Imports/Import value index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import value index (2000 = 100)", + "World/South Africa/NGA/Imports/Import value index (2000 = 100)", + "World/Europe/NLD/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/OMN/Imports/Import value index (2000 = 100)", + "World/Latam/PAN/Imports/Import value index (2000 = 100)", + "World/Latam/PER/Imports/Import value index (2000 = 100)", + "World/Asia/PHL/Imports/Import value index (2000 = 100)", + "World/Europe/POL/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/SAU/Imports/Import value index (2000 = 100)", + "World/South Africa/SEN/Imports/Import value index (2000 = 100)", + "World/Europe/SWE/Imports/Import value index (2000 = 100)", + "World/Asia/THA/Imports/Import value index (2000 = 100)", + "World/North Africa/TUR/Imports/Import value index (2000 = 100)", + "World/Pair/USA/Imports/Import value index (2000 = 100)", + "World/Asia/VNM/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/YEM/Imports/Import value index (2000 = 100)", + "World/South Africa/ZAF/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/ARE/Imports/Import volume index (2000 = 100)", + "World/Latam/ARG/Imports/Import volume index (2000 = 100)", + "World/Europe/AUT/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import volume index (2000 = 100)", + "World/Asia/BGD/Imports/Import volume index (2000 = 100)", + "World/Latam/BRA/Imports/Import volume index (2000 = 100)", + "World/Latam/CHL/Imports/Import volume index (2000 = 100)", + "World/Pair/CHN/Imports/Import volume index (2000 = 100)", + "World/Latam/COL/Imports/Import volume index (2000 = 100)", + "World/Latam/CRI/Imports/Import volume index (2000 = 100)", + "World/Europe/DEU/Imports/Import volume index (2000 = 100)", + "World/North Africa/DZA/Imports/Import volume index (2000 = 100)", + "World/North Africa/EGY/Imports/Import volume index (2000 = 100)", + "World/Europe/GBR/Imports/Import volume index (2000 = 100)", + "World/Asia/IDN/Imports/Import volume index (2000 = 100)", + "World/Asia/IND/Imports/Import volume index (2000 = 100)", + "World/North Africa/ISR/Imports/Import volume index (2000 = 100)", + "World/Asia/KOR/Imports/Import volume index (2000 = 100)", + "World/North Africa/MAR/Imports/Import volume index (2000 = 100)", + "World/Latam/MEX/Imports/Import volume index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import volume index (2000 = 100)", + "World/South Africa/NGA/Imports/Import volume index (2000 = 100)", + "World/Europe/NLD/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/OMN/Imports/Import volume index (2000 = 100)", + "World/Latam/PAN/Imports/Import volume index (2000 = 100)", + "World/Latam/PER/Imports/Import volume index (2000 = 100)", + "World/Asia/PHL/Imports/Import volume index (2000 = 100)", + "World/Europe/POL/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/SAU/Imports/Import volume index (2000 = 100)", + "World/South Africa/SEN/Imports/Import volume index (2000 = 100)", + "World/Asia/THA/Imports/Import volume index (2000 = 100)", + "World/North Africa/TUR/Imports/Import volume index (2000 = 100)", + "World/Pair/USA/Imports/Import volume index (2000 = 100)", + "World/Latam/VEN/Imports/Import volume index (2000 = 100)", + "World/Asia/VNM/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/YEM/Imports/Import volume index (2000 = 100)", + "World/South Africa/ZAF/Imports/Import volume index (2000 = 100)", + "World/Latam/ARG/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/AUT/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/AZE/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/BGD/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/BRA/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/CHL/Imports/Imports of goods and services (BoP, current US$)", + "World/Pair/CHN/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/CMR/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/COL/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/CRI/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/DEU/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/DZA/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/EGY/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/ESP/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/FRA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/GBR/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/GHA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/GRC/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/HRV/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/IDN/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/IND/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/ISR/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/KOR/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/MAR/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/MEX/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/MOZ/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/NGA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/NLD/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/PAN/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/PER/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/PHL/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/POL/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/SAU/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/SEN/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/SWE/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/THA/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/TUR/Imports/Imports of goods and services (BoP, current US$)", + "World/Pair/USA/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/VNM/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/YEM/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/ZAF/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/ARE/Imports/Imports of goods and services (current US$)", + "World/Latam/ARG/Imports/Imports of goods and services (current US$)", + "World/Europe/AUT/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/AZE/Imports/Imports of goods and services (current US$)", + "World/Asia/BGD/Imports/Imports of goods and services (current US$)", + "World/Latam/BRA/Imports/Imports of goods and services (current US$)", + "World/Latam/CHL/Imports/Imports of goods and services (current US$)", + "World/Pair/CHN/Imports/Imports of goods and services (current US$)", + "World/Latam/COL/Imports/Imports of goods and services (current US$)", + "World/Latam/CRI/Imports/Imports of goods and services (current US$)", + "World/Europe/DEU/Imports/Imports of goods and services (current US$)", + "World/North Africa/DZA/Imports/Imports of goods and services (current US$)", + "World/North Africa/EGY/Imports/Imports of goods and services (current US$)", + "World/Europe/ESP/Imports/Imports of goods and services (current US$)", + "World/Europe/FRA/Imports/Imports of goods and services (current US$)", + "World/Europe/GBR/Imports/Imports of goods and services (current US$)", + "World/South Africa/GHA/Imports/Imports of goods and services (current US$)", + "World/Europe/GRC/Imports/Imports of goods and services (current US$)", + "World/Europe/HRV/Imports/Imports of goods and services (current US$)", + "World/Asia/IDN/Imports/Imports of goods and services (current US$)", + "World/Asia/IND/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/IRQ/Imports/Imports of goods and services (current US$)", + "World/North Africa/ISR/Imports/Imports of goods and services (current US$)", + "World/Asia/KOR/Imports/Imports of goods and services (current US$)", + "World/North Africa/MAR/Imports/Imports of goods and services (current US$)", + "World/Latam/MEX/Imports/Imports of goods and services (current US$)", + "World/South Africa/MOZ/Imports/Imports of goods and services (current US$)", + "World/South Africa/NGA/Imports/Imports of goods and services (current US$)", + "World/Europe/NLD/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/OMN/Imports/Imports of goods and services (current US$)", + "World/Latam/PAN/Imports/Imports of goods and services (current US$)", + "World/Latam/PER/Imports/Imports of goods and services (current US$)", + "World/Asia/PHL/Imports/Imports of goods and services (current US$)", + "World/Europe/POL/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/QAT/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/SAU/Imports/Imports of goods and services (current US$)", + "World/South Africa/SEN/Imports/Imports of goods and services (current US$)", + "World/Europe/SWE/Imports/Imports of goods and services (current US$)", + "World/Asia/THA/Imports/Imports of goods and services (current US$)", + "World/North Africa/TUR/Imports/Imports of goods and services (current US$)", + "World/Pair/USA/Imports/Imports of goods and services (current US$)", + "World/Latam/VEN/Imports/Imports of goods and services (current US$)", + "World/Asia/VNM/Imports/Imports of goods and services (current US$)", + "World/South Africa/ZAF/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/ARE/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/AUT/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/AZE/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/BRA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Pair/CHN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/CMR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/CRI/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/EGY/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/ESP/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/GBR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/GHA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/HRV/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/IDN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/IND/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/IRQ/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/ISR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/LBR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/MOZ/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/OMN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/PER/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/POL/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/QAT/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/SAU/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/SEN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/THA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/TUR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Pair/USA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/VNM/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/YEM/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/ARE/Economy/Industry (including construction), value added (current US$)", + "World/Latam/ARG/Economy/Industry (including construction), value added (current US$)", + "World/Europe/AUT/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/AZE/Economy/Industry (including construction), value added (current US$)", + "World/Asia/BGD/Economy/Industry (including construction), value added (current US$)", + "World/Latam/BRA/Economy/Industry (including construction), value added (current US$)", + "World/Latam/CHL/Economy/Industry (including construction), value added (current US$)", + "World/Pair/CHN/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/CMR/Economy/Industry (including construction), value added (current US$)", + "World/Latam/COL/Economy/Industry (including construction), value added (current US$)", + "World/Latam/CRI/Economy/Industry (including construction), value added (current US$)", + "World/Europe/DEU/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/DZA/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/EGY/Economy/Industry (including construction), value added (current US$)", + "World/Europe/ESP/Economy/Industry (including construction), value added (current US$)", + "World/Europe/FRA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/GBR/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/GHA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/GRC/Economy/Industry (including construction), value added (current US$)", + "World/Europe/HRV/Economy/Industry (including construction), value added (current US$)", + "World/Asia/IDN/Economy/Industry (including construction), value added (current US$)", + "World/Asia/IND/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/IRQ/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/ISR/Economy/Industry (including construction), value added (current US$)", + "World/Asia/KOR/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/LBR/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/MAR/Economy/Industry (including construction), value added (current US$)", + "World/Latam/MEX/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/MOZ/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/NGA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/NLD/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/OMN/Economy/Industry (including construction), value added (current US$)", + "World/Latam/PAN/Economy/Industry (including construction), value added (current US$)", + "World/Latam/PER/Economy/Industry (including construction), value added (current US$)", + "World/Asia/PHL/Economy/Industry (including construction), value added (current US$)", + "World/Europe/POL/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/SAU/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/SEN/Economy/Industry (including construction), value added (current US$)", + "World/Europe/SWE/Economy/Industry (including construction), value added (current US$)", + "World/Asia/THA/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/TUR/Economy/Industry (including construction), value added (current US$)", + "World/Pair/USA/Economy/Industry (including construction), value added (current US$)", + "World/Latam/VEN/Economy/Industry (including construction), value added (current US$)", + "World/Asia/VNM/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/YEM/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/ZAF/Economy/Industry (including construction), value added (current US$)", + "World/Latam/BRA/Mortality/Intentional homicides (per 100,000 people)", + "World/Pair/CHN/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/COL/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/CRI/Mortality/Intentional homicides (per 100,000 people)", + "World/North Africa/EGY/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/ESP/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/GBR/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/IDN/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/IND/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/IRQ/Mortality/Intentional homicides (per 100,000 people)", + "World/North Africa/ISR/Mortality/Intentional homicides (per 100,000 people)", + "World/South Africa/MOZ/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/NLD/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/PAN/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/PER/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/POL/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/THA/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/VNM/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/YEM/Mortality/Intentional homicides (per 100,000 people)", + "World/South Africa/ZAF/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/ARE/Migration/International migrant stock (% of population)", + "World/Europe/AUT/Migration/International migrant stock (% of population)", + "World/Persian Gulf/AZE/Migration/International migrant stock (% of population)", + "World/Latam/CHL/Migration/International migrant stock (% of population)", + "World/Pair/CHN/Migration/International migrant stock (% of population)", + "World/Europe/DEU/Migration/International migrant stock (% of population)", + "World/North Africa/DZA/Migration/International migrant stock (% of population)", + "World/Europe/ESP/Migration/International migrant stock (% of population)", + "World/Europe/FRA/Migration/International migrant stock (% of population)", + "World/Europe/GBR/Migration/International migrant stock (% of population)", + "World/Europe/GRC/Migration/International migrant stock (% of population)", + "World/Europe/HRV/Migration/International migrant stock (% of population)", + "World/Asia/IND/Migration/International migrant stock (% of population)", + "World/North Africa/ISR/Migration/International migrant stock (% of population)", + "World/Asia/KOR/Migration/International migrant stock (% of population)", + "World/North Africa/MAR/Migration/International migrant stock (% of population)", + "World/Latam/MEX/Migration/International migrant stock (% of population)", + "World/South Africa/MOZ/Migration/International migrant stock (% of population)", + "World/South Africa/NGA/Migration/International migrant stock (% of population)", + "World/Europe/NLD/Migration/International migrant stock (% of population)", + "World/Latam/PAN/Migration/International migrant stock (% of population)", + "World/Latam/PER/Migration/International migrant stock (% of population)", + "World/Europe/POL/Migration/International migrant stock (% of population)", + "World/Persian Gulf/SAU/Migration/International migrant stock (% of population)", + "World/South Africa/SEN/Migration/International migrant stock (% of population)", + "World/Europe/SWE/Migration/International migrant stock (% of population)", + "World/Asia/THA/Migration/International migrant stock (% of population)", + "World/North Africa/TUR/Migration/International migrant stock (% of population)", + "World/Pair/USA/Migration/International migrant stock (% of population)", + "World/Asia/VNM/Migration/International migrant stock (% of population)", + "World/Persian Gulf/YEM/Migration/International migrant stock (% of population)", + "World/Persian Gulf/ARE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/AUT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/AZE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/BRA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/CHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Pair/CHN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/COL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/CRI/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/DEU/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/DZA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/EGY/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/GHA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/GRC/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/IDN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/IND/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/IRQ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/ISR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/KOR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/LBR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/MEX/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/MOZ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/NGA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/NLD/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/OMN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/PAN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/PER/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/PHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/POL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/QAT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/SWE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/TUR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Pair/USA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/VEN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/VNM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/YEM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/ZAF/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/ARE/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/ARG/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/AZE/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/BGD/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/CHL/Mortality/Lifetime risk of maternal death (%)", + "World/Pair/CHN/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/CMR/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/COL/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/CRI/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/EGY/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/ESP/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/GBR/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/GHA/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/GRC/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/HRV/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/IDN/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/IND/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/ISR/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/KOR/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/LBR/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/MAR/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/MEX/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/MOZ/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/NGA/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/NLD/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/PAN/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/PER/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/PHL/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/POL/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/QAT/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/SAU/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/SEN/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/THA/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/TUR/Mortality/Lifetime risk of maternal death (%)", + "World/Pair/USA/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/VNM/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/YEM/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/ARE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/ARG/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/AZE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/BGD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/CHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Pair/CHN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/CMR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/COL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/CRI/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/EGY/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/ESP/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/GBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/GHA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/GRC/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/HRV/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/IDN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/IND/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/ISR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/KOR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/LBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/MAR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/MEX/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/MOZ/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/NGA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/NLD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/PAN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/PER/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/PHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/POL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/QAT/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/SAU/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/SEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/THA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/TUR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Pair/USA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/VEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/VNM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/YEM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/ARE/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/ARG/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/AUT/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/AZE/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/BGD/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/BRA/Industry/Livestock production index (2014-2016 = 100)", + "World/Pair/CHN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/COL/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/CRI/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/DZA/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/EGY/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/GBR/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/GHA/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/IDN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/IND/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/ISR/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/KOR/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/LBR/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/MAR/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/MEX/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/MOZ/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/NGA/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/NLD/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/PAN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/PER/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/PHL/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/POL/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/SAU/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/SEN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/THA/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/TUR/Industry/Livestock production index (2014-2016 = 100)", + "World/Pair/USA/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/VEN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/VNM/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/ZAF/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/ARE/Health/Low-birthweight babies (% of births)", + "World/Asia/BGD/Health/Low-birthweight babies (% of births)", + "World/Latam/BRA/Health/Low-birthweight babies (% of births)", + "World/Latam/CHL/Health/Low-birthweight babies (% of births)", + "World/Pair/CHN/Health/Low-birthweight babies (% of births)", + "World/South Africa/CMR/Health/Low-birthweight babies (% of births)", + "World/Latam/COL/Health/Low-birthweight babies (% of births)", + "World/Latam/CRI/Health/Low-birthweight babies (% of births)", + "World/North Africa/DZA/Health/Low-birthweight babies (% of births)", + "World/Europe/ESP/Health/Low-birthweight babies (% of births)", + "World/Europe/FRA/Health/Low-birthweight babies (% of births)", + "World/Europe/GBR/Health/Low-birthweight babies (% of births)", + "World/South Africa/GHA/Health/Low-birthweight babies (% of births)", + "World/Europe/HRV/Health/Low-birthweight babies (% of births)", + "World/Asia/IDN/Health/Low-birthweight babies (% of births)", + "World/North Africa/ISR/Health/Low-birthweight babies (% of births)", + "World/Asia/KOR/Health/Low-birthweight babies (% of births)", + "World/North Africa/MAR/Health/Low-birthweight babies (% of births)", + "World/Latam/MEX/Health/Low-birthweight babies (% of births)", + "World/South Africa/MOZ/Health/Low-birthweight babies (% of births)", + "World/Europe/NLD/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/OMN/Health/Low-birthweight babies (% of births)", + "World/Latam/PAN/Health/Low-birthweight babies (% of births)", + "World/Latam/PER/Health/Low-birthweight babies (% of births)", + "World/Asia/PHL/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/QAT/Health/Low-birthweight babies (% of births)", + "World/South Africa/SEN/Health/Low-birthweight babies (% of births)", + "World/Asia/THA/Health/Low-birthweight babies (% of births)", + "World/North Africa/TUR/Health/Low-birthweight babies (% of births)", + "World/Asia/VNM/Health/Low-birthweight babies (% of births)", + "World/South Africa/ZAF/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/ARE/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/BGD/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/CHL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Pair/CHN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/COL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/South Africa/GHA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Europe/HRV/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/IDN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/IND/Economy/Market capitalization of listed domestic companies (current US$)", + "World/North Africa/ISR/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/KOR/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/MEX/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/OMN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/PAN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Europe/POL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/QAT/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/SAU/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/THA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Pair/USA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/VNM/Economy/Market capitalization of listed domestic companies (current US$)", + "World/South Africa/ZAF/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/ARE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/ARG/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/AZE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/BGD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/CHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Pair/CHN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/CMR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/CRI/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/DZA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/EGY/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/ESP/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/GBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/GHA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/HRV/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/IDN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/IND/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/ISR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/KOR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/LBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/MAR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/MEX/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/MOZ/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/NGA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/NLD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/PAN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/PER/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/PHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/POL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/QAT/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/SAU/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/SEN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/THA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/TUR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Pair/USA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/VNM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/YEM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/ARE/Exports/Merchandise exports (current US$)", + "World/Europe/AUT/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/AZE/Exports/Merchandise exports (current US$)", + "World/Asia/BGD/Exports/Merchandise exports (current US$)", + "World/Latam/BRA/Exports/Merchandise exports (current US$)", + "World/Latam/CHL/Exports/Merchandise exports (current US$)", + "World/Pair/CHN/Exports/Merchandise exports (current US$)", + "World/Latam/COL/Exports/Merchandise exports (current US$)", + "World/Latam/CRI/Exports/Merchandise exports (current US$)", + "World/Europe/DEU/Exports/Merchandise exports (current US$)", + "World/North Africa/EGY/Exports/Merchandise exports (current US$)", + "World/Europe/ESP/Exports/Merchandise exports (current US$)", + "World/Europe/FRA/Exports/Merchandise exports (current US$)", + "World/Europe/GBR/Exports/Merchandise exports (current US$)", + "World/South Africa/GHA/Exports/Merchandise exports (current US$)", + "World/Asia/IDN/Exports/Merchandise exports (current US$)", + "World/Asia/IND/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports (current US$)", + "World/North Africa/ISR/Exports/Merchandise exports (current US$)", + "World/Asia/KOR/Exports/Merchandise exports (current US$)", + "World/North Africa/MAR/Exports/Merchandise exports (current US$)", + "World/Latam/MEX/Exports/Merchandise exports (current US$)", + "World/South Africa/MOZ/Exports/Merchandise exports (current US$)", + "World/Europe/NLD/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/OMN/Exports/Merchandise exports (current US$)", + "World/Latam/PAN/Exports/Merchandise exports (current US$)", + "World/Latam/PER/Exports/Merchandise exports (current US$)", + "World/Asia/PHL/Exports/Merchandise exports (current US$)", + "World/Europe/POL/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/QAT/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/SAU/Exports/Merchandise exports (current US$)", + "World/South Africa/SEN/Exports/Merchandise exports (current US$)", + "World/Europe/SWE/Exports/Merchandise exports (current US$)", + "World/Asia/THA/Exports/Merchandise exports (current US$)", + "World/North Africa/TUR/Exports/Merchandise exports (current US$)", + "World/Pair/USA/Exports/Merchandise exports (current US$)", + "World/Latam/VEN/Exports/Merchandise exports (current US$)", + "World/Asia/VNM/Exports/Merchandise exports (current US$)", + "World/South Africa/ZAF/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/ARE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/AUT/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/AZE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/BGD/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/BRA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/CHL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Pair/CHN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/COL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/CRI/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/DEU/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/DZA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/EGY/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/ESP/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/FRA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/GBR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/GHA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/IDN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/IND/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/KOR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/MAR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/MEX/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/MOZ/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/NGA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/NLD/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/OMN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/PER/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/PHL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/POL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/QAT/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/SEN/Exports/Merchandise exports by the reporting economy 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"World/Europe/GRC/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/IDN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/South Africa/NGA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/OMN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/PHL/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from high-income economies (% of total merchandise 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"World/Latam/VEN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/South Africa/ZAF/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/FRA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/MOZ/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/NLD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/OMN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/SEN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/YEM/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/ARE/Environment/Methane emissions (% change from 1990)", + "World/Europe/AUT/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/AZE/Environment/Methane emissions (% change from 1990)", + "World/Asia/BGD/Environment/Methane emissions (% change from 1990)", + "World/Latam/CHL/Environment/Methane emissions (% change from 1990)", + "World/Pair/CHN/Environment/Methane emissions (% change from 1990)", + "World/Latam/COL/Environment/Methane emissions (% change from 1990)", + "World/Europe/DEU/Environment/Methane emissions (% change from 1990)", + "World/North Africa/DZA/Environment/Methane emissions (% change from 1990)", + "World/North Africa/EGY/Environment/Methane emissions (% change from 1990)", + "World/Europe/ESP/Environment/Methane emissions (% change from 1990)", + "World/Europe/FRA/Environment/Methane emissions (% change from 1990)", + "World/Europe/GBR/Environment/Methane emissions (% change from 1990)", + "World/South Africa/GHA/Environment/Methane emissions (% change from 1990)", + "World/Asia/IND/Environment/Methane emissions (% change from 1990)", + "World/Asia/KOR/Environment/Methane emissions (% change from 1990)", + "World/North Africa/MAR/Environment/Methane emissions (% change from 1990)", + "World/Latam/MEX/Environment/Methane emissions (% change from 1990)", + "World/Europe/NLD/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Methane emissions (% change from 1990)", + "World/Latam/PAN/Environment/Methane emissions (% change from 1990)", + "World/Latam/PER/Environment/Methane emissions (% change from 1990)", + "World/Asia/PHL/Environment/Methane emissions (% change from 1990)", + "World/Europe/POL/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/SAU/Environment/Methane emissions (% change from 1990)", + "World/North Africa/TUR/Environment/Methane emissions (% change from 1990)", + "World/Pair/USA/Environment/Methane emissions (% change from 1990)", + "World/Asia/VNM/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/ARG/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/AUT/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/BGD/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/BRA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Pair/CHN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/CMR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/COL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/CRI/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/DEU/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/DZA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/EGY/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/FRA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/GBR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/GHA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/IND/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/ISR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/LBR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/MAR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/MEX/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/NGA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/NLD/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/PAN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/PER/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/PHL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/POL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/SAU/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/SEN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/TUR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Pair/USA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/VNM/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/ARE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/AUT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/CMR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/COL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/DEU/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/EGY/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GRC/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/IRQ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/KOR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/PAN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/POL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/SEN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/THA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Pair/USA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Military/Military expenditure (current USD)", + "World/Europe/AUT/Military/Military expenditure (current USD)", + "World/Persian Gulf/AZE/Military/Military expenditure (current USD)", + "World/Asia/BGD/Military/Military expenditure (current USD)", + "World/Latam/BRA/Military/Military expenditure (current USD)", + "World/Latam/CHL/Military/Military expenditure (current USD)", + "World/Pair/CHN/Military/Military expenditure (current USD)", + "World/South Africa/CMR/Military/Military expenditure (current USD)", + "World/Latam/COL/Military/Military expenditure (current USD)", + "World/North Africa/DZA/Military/Military expenditure (current USD)", + "World/North Africa/EGY/Military/Military expenditure (current USD)", + "World/Europe/ESP/Military/Military expenditure (current USD)", + "World/Europe/FRA/Military/Military expenditure (current USD)", + "World/South Africa/GHA/Military/Military expenditure (current USD)", + "World/Europe/GRC/Military/Military expenditure (current USD)", + "World/Asia/IDN/Military/Military expenditure (current USD)", + "World/Asia/IND/Military/Military expenditure (current USD)", + "World/North Africa/ISR/Military/Military expenditure (current USD)", + "World/Asia/KOR/Military/Military expenditure (current USD)", + "World/North Africa/MAR/Military/Military expenditure (current USD)", + "World/Latam/MEX/Military/Military expenditure (current USD)", + "World/South Africa/MOZ/Military/Military expenditure (current USD)", + "World/South Africa/NGA/Military/Military expenditure (current USD)", + "World/Europe/NLD/Military/Military expenditure (current USD)", + "World/Persian Gulf/OMN/Military/Military expenditure (current USD)", + "World/Latam/PER/Military/Military expenditure (current USD)", + "World/Asia/PHL/Military/Military expenditure (current USD)", + "World/Europe/POL/Military/Military expenditure (current USD)", + "World/Persian Gulf/SAU/Military/Military expenditure (current USD)", + "World/South Africa/SEN/Military/Military expenditure (current USD)", + "World/Asia/THA/Military/Military expenditure (current USD)", + "World/North Africa/TUR/Military/Military expenditure (current USD)", + "World/Pair/USA/Military/Military expenditure (current USD)", + "World/Asia/VNM/Military/Military expenditure (current USD)", + "World/Persian Gulf/YEM/Military/Military expenditure (current USD)", + "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions", + "World/Latam/BRA/Internet/Mobile cellular subscriptions", + "World/Latam/CHL/Internet/Mobile cellular subscriptions", + "World/Pair/CHN/Internet/Mobile cellular subscriptions", + "World/Europe/DEU/Internet/Mobile cellular subscriptions", + "World/North Africa/DZA/Internet/Mobile cellular subscriptions", + "World/North Africa/EGY/Internet/Mobile cellular subscriptions", + "World/Europe/FRA/Internet/Mobile cellular subscriptions", + "World/Europe/GBR/Internet/Mobile cellular subscriptions", + "World/Europe/HRV/Internet/Mobile cellular subscriptions", + "World/Asia/IDN/Internet/Mobile cellular subscriptions", + "World/North Africa/ISR/Internet/Mobile cellular subscriptions", + "World/Asia/KOR/Internet/Mobile cellular subscriptions", + "World/North Africa/MAR/Internet/Mobile cellular subscriptions", + "World/Latam/MEX/Internet/Mobile cellular subscriptions", + "World/Europe/NLD/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions", + "World/Latam/PER/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions", + "World/Europe/SWE/Internet/Mobile cellular subscriptions", + "World/Asia/THA/Internet/Mobile cellular subscriptions", + "World/North Africa/TUR/Internet/Mobile cellular subscriptions", + "World/Pair/USA/Internet/Mobile cellular subscriptions", + "World/South Africa/ZAF/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/BRA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/CHL/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Pair/CHN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/DEU/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/DZA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/EGY/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/FRA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/HRV/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/IDN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/ISR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/KOR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/MAR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/MEX/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/NLD/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/PER/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/SWE/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/THA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/TUR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Pair/USA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/VEN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/South Africa/ZAF/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/ARE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/AZE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/BGD/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/CHL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Pair/CHN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/CMR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/COL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/CRI/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/DEU/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/DZA/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/EGY/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/FRA/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/GRC/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/HRV/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/IND/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/KOR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/LBR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/MAR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/MEX/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/OMN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/PAN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/PER/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/POL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/QAT/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/SAU/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/SEN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/SWE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/TUR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/VEN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/VNM/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/AUT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/AZE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/BGD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Pair/CHN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/CMR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/DEU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/DZA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/ESP/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/GBR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/GRC/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/HRV/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/IDN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/ISR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/KOR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/MAR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Latam/MEX/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/MOZ/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/NGA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/NLD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/OMN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/PHL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/POL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/QAT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/SAU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/SWE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/THA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/TUR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Latam/VEN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/VNM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/YEM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/ARE/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/AUT/Economy/Net barter terms of trade index (2000 = 100)", + "World/Latam/BRA/Economy/Net barter terms of trade index (2000 = 100)", + "World/Latam/COL/Economy/Net barter terms of trade index (2000 = 100)", + "World/North Africa/DZA/Economy/Net barter terms of trade index (2000 = 100)", + "World/North Africa/EGY/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/ESP/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/GHA/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/KOR/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/LBR/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/NLD/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/SWE/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/VNM/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/ZAF/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/BGD/Economy/Net primary income (BoP, current US$)", + "World/Latam/BRA/Economy/Net primary income (BoP, current US$)", + "World/Latam/COL/Economy/Net primary income (BoP, current US$)", + "World/Latam/CRI/Economy/Net primary income (BoP, current US$)", + "World/North Africa/EGY/Economy/Net primary income (BoP, current US$)", + "World/Europe/FRA/Economy/Net primary income (BoP, current US$)", + "World/South Africa/GHA/Economy/Net primary income (BoP, current US$)", + "World/Asia/IDN/Economy/Net primary income (BoP, current US$)", + "World/Asia/IND/Economy/Net primary income (BoP, current US$)", + "World/Asia/KOR/Economy/Net primary income (BoP, current US$)", + "World/Latam/MEX/Economy/Net primary income (BoP, current US$)", + "World/Persian Gulf/OMN/Economy/Net primary income (BoP, current US$)", + "World/Latam/PAN/Economy/Net primary income (BoP, current US$)", + "World/Europe/POL/Economy/Net primary income (BoP, current US$)", + "World/Persian Gulf/QAT/Economy/Net primary income (BoP, current US$)", + "World/Asia/THA/Economy/Net primary income (BoP, current US$)", + "World/North Africa/TUR/Economy/Net primary income (BoP, current US$)", + "World/Pair/USA/Economy/Net primary income (BoP, current US$)", + "World/Latam/VEN/Economy/Net primary income (BoP, current US$)", + "World/Asia/VNM/Economy/Net primary income (BoP, current US$)", + "World/South Africa/ZAF/Economy/Net primary income (BoP, current US$)", + "World/Asia/BGD/Economy/Net primary income (Net income from abroad) (current US$)", + "World/Latam/BRA/Economy/Net primary income (Net income from abroad) (current US$)", + "World/Latam/COL/Economy/Net primary income (Net income from abroad) (current US$)", + "World/Latam/CRI/Economy/Net primary income (Net income from abroad) (current US$)", + "World/North Africa/EGY/Economy/Net primary income (Net income from abroad) (current US$)", + "World/Europe/FRA/Economy/Net primary income (Net income from abroad) (current US$)", + "World/Asia/IND/Economy/Net primary income (Net income from abroad) (current US$)", + "World/Asia/KOR/Economy/Net primary income (Net 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"World/Asia/IDN/Mortality/Number of infant deaths", + "World/Asia/IND/Mortality/Number of infant deaths", + "World/Persian Gulf/IRQ/Mortality/Number of infant deaths", + "World/North Africa/ISR/Mortality/Number of infant deaths", + "World/Asia/KOR/Mortality/Number of infant deaths", + "World/South Africa/LBR/Mortality/Number of infant deaths", + "World/North Africa/MAR/Mortality/Number of infant deaths", + "World/Latam/MEX/Mortality/Number of infant deaths", + "World/South Africa/MOZ/Mortality/Number of infant deaths", + "World/Europe/NLD/Mortality/Number of infant deaths", + "World/Persian Gulf/OMN/Mortality/Number of infant deaths", + "World/Latam/PAN/Mortality/Number of infant deaths", + "World/Latam/PER/Mortality/Number of infant deaths", + "World/Asia/PHL/Mortality/Number of infant deaths", + "World/Europe/POL/Mortality/Number of infant deaths", + "World/Persian Gulf/SAU/Mortality/Number of infant deaths", + "World/South Africa/SEN/Mortality/Number of infant deaths", + "World/Europe/SWE/Mortality/Number of infant deaths", + "World/Asia/THA/Mortality/Number of infant deaths", + "World/North Africa/TUR/Mortality/Number of infant deaths", + "World/Pair/USA/Mortality/Number of infant deaths", + "World/Asia/VNM/Mortality/Number of infant deaths", + "World/Latam/ARG/Mortality/Number of maternal deaths", + "World/Persian Gulf/AZE/Mortality/Number of maternal deaths", + "World/Asia/BGD/Mortality/Number of maternal deaths", + "World/Latam/BRA/Mortality/Number of maternal deaths", + "World/Latam/CHL/Mortality/Number of maternal deaths", + "World/Pair/CHN/Mortality/Number of maternal deaths", + "World/South Africa/CMR/Mortality/Number of maternal deaths", + "World/Latam/COL/Mortality/Number of maternal deaths", + "World/Latam/CRI/Mortality/Number of maternal deaths", + "World/North Africa/DZA/Mortality/Number of maternal deaths", + "World/North Africa/EGY/Mortality/Number of maternal deaths", + "World/Europe/FRA/Mortality/Number of maternal deaths", + "World/Europe/GBR/Mortality/Number of maternal deaths", + "World/Europe/HRV/Mortality/Number of maternal deaths", + "World/Asia/IDN/Mortality/Number of maternal deaths", + "World/Asia/IND/Mortality/Number of maternal deaths", + "World/North Africa/ISR/Mortality/Number of maternal deaths", + "World/Asia/KOR/Mortality/Number of maternal deaths", + "World/North Africa/MAR/Mortality/Number of maternal deaths", + "World/Latam/MEX/Mortality/Number of maternal deaths", + "World/South Africa/MOZ/Mortality/Number of maternal deaths", + "World/South Africa/NGA/Mortality/Number of maternal deaths", + "World/Europe/NLD/Mortality/Number of maternal deaths", + "World/Persian Gulf/OMN/Mortality/Number of maternal deaths", + "World/Latam/PAN/Mortality/Number of maternal deaths", + "World/Latam/PER/Mortality/Number of maternal deaths", + "World/Asia/PHL/Mortality/Number of maternal deaths", + "World/Europe/POL/Mortality/Number of maternal deaths", + "World/Persian Gulf/SAU/Mortality/Number of maternal 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"World/Latam/PAN/Mortality/Number of neonatal deaths", + "World/Latam/PER/Mortality/Number of neonatal deaths", + "World/Asia/PHL/Mortality/Number of neonatal deaths", + "World/Europe/POL/Mortality/Number of neonatal deaths", + "World/Persian Gulf/QAT/Mortality/Number of neonatal deaths", + "World/Persian Gulf/SAU/Mortality/Number of neonatal deaths", + "World/South Africa/SEN/Mortality/Number of neonatal deaths", + "World/Asia/THA/Mortality/Number of neonatal deaths", + "World/North Africa/TUR/Mortality/Number of neonatal deaths", + "World/Pair/USA/Mortality/Number of neonatal deaths", + "World/Asia/VNM/Mortality/Number of neonatal deaths", + "World/South Africa/ZAF/Mortality/Number of neonatal deaths", + "World/Persian Gulf/ARE/Mortality/Number of under-five deaths", + "World/Latam/ARG/Mortality/Number of under-five deaths", + "World/Europe/AUT/Mortality/Number of under-five deaths", + "World/Persian Gulf/AZE/Mortality/Number of under-five deaths", + "World/Asia/BGD/Mortality/Number of under-five deaths", + "World/Latam/BRA/Mortality/Number of under-five deaths", + "World/Latam/CHL/Mortality/Number of under-five deaths", + "World/Pair/CHN/Mortality/Number of under-five deaths", + "World/South Africa/CMR/Mortality/Number of under-five deaths", + "World/Latam/COL/Mortality/Number of under-five deaths", + "World/Latam/CRI/Mortality/Number of under-five deaths", + "World/North Africa/EGY/Mortality/Number of under-five deaths", + "World/Europe/FRA/Mortality/Number of under-five deaths", + "World/Europe/GBR/Mortality/Number of under-five deaths", + "World/South Africa/GHA/Mortality/Number of under-five deaths", + "World/Europe/GRC/Mortality/Number of under-five deaths", + "World/Europe/HRV/Mortality/Number of under-five deaths", + "World/Asia/IDN/Mortality/Number of under-five deaths", + "World/Asia/IND/Mortality/Number of under-five deaths", + "World/Persian Gulf/IRQ/Mortality/Number of under-five deaths", + "World/North Africa/ISR/Mortality/Number of under-five 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deaths", + "World/Pair/USA/Mortality/Number of under-five deaths", + "World/Asia/VNM/Mortality/Number of under-five deaths", + "World/Latam/ARG/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/AUT/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/AZE/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/BGD/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/BRA/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/CHL/Health/Nurses and midwives (per 1,000 people)", + "World/Pair/CHN/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/CMR/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/CRI/Health/Nurses and midwives (per 1,000 people)", + "World/North Africa/EGY/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/ESP/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/FRA/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/GHA/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/HRV/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/IDN/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/IND/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/KOR/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/LBR/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/MOZ/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/NLD/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/OMN/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/PAN/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/PER/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/POL/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/SAU/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/SWE/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/THA/Health/Nurses and midwives (per 1,000 people)", + "World/North Africa/TUR/Health/Nurses and midwives (per 1,000 people)", + "World/Pair/USA/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/VEN/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/YEM/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/ZAF/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/ARG/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/AUT/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/BGD/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/BRA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/CHL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Pair/CHN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/CMR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/COL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/CRI/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/DEU/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/DZA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/EGY/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/ESP/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/FRA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/GBR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/GHA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/GRC/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/HRV/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/IDN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/IND/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/ISR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/KOR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/LBR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/NGA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/NLD/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/PAN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/PER/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/PHL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/POL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/SEN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/SWE/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Pair/USA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/VEN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/VNM/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/ARG/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/AZE/Health/People practicing open defecation (% of population)", + "World/Asia/BGD/Health/People practicing open defecation (% of population)", + "World/Latam/BRA/Health/People practicing open defecation (% of population)", + "World/Latam/CHL/Health/People practicing open defecation (% of population)", + "World/Pair/CHN/Health/People practicing open defecation (% of population)", + "World/South Africa/CMR/Health/People practicing open defecation (% of population)", + "World/Latam/COL/Health/People practicing open defecation (% of population)", + "World/Latam/CRI/Health/People practicing open defecation (% of population)", + "World/North Africa/DZA/Health/People practicing open defecation (% of population)", + "World/North Africa/EGY/Health/People practicing open defecation (% of population)", + "World/South Africa/GHA/Health/People practicing open defecation (% of population)", + "World/Europe/GRC/Health/People practicing open defecation (% of population)", + "World/Asia/IDN/Health/People practicing open defecation (% of population)", + "World/Asia/IND/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/IRQ/Health/People practicing open defecation (% of population)", + "World/South Africa/LBR/Health/People practicing open defecation (% of population)", + "World/North Africa/MAR/Health/People practicing open defecation (% of population)", + "World/Latam/MEX/Health/People practicing open defecation (% of population)", + "World/South Africa/MOZ/Health/People practicing open defecation (% of population)", + "World/South Africa/NGA/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/OMN/Health/People practicing open defecation (% of population)", + "World/Latam/PAN/Health/People practicing open defecation (% of population)", + "World/Latam/PER/Health/People practicing open defecation (% of population)", + "World/Asia/PHL/Health/People practicing open defecation (% of population)", + "World/South Africa/SEN/Health/People practicing open defecation (% of population)", + "World/Asia/THA/Health/People practicing open defecation (% of population)", + "World/North Africa/TUR/Health/People practicing open defecation (% of population)", + "World/Latam/VEN/Health/People practicing open defecation (% of population)", + "World/Asia/VNM/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/YEM/Health/People practicing open defecation (% of population)", + "World/South Africa/ZAF/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/ARE/Health/People using at least basic drinking water services (% of population)", + "World/Latam/ARG/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/AZE/Health/People using at least basic drinking water services (% of population)", + "World/Asia/BGD/Health/People using at least basic drinking water services (% of population)", + "World/Latam/BRA/Health/People using at least basic drinking water services (% of population)", + "World/Latam/CHL/Health/People using at least basic drinking water services (% of population)", + "World/Pair/CHN/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/CMR/Health/People using at least basic drinking water services (% of population)", + "World/Latam/COL/Health/People using at least basic drinking water services (% of population)", + "World/Latam/CRI/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/DZA/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/EGY/Health/People using at least basic drinking water services (% of population)", + "World/Europe/ESP/Health/People using at least basic drinking water services (% of population)", + "World/Europe/FRA/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/GHA/Health/People using at least basic drinking water services (% of population)", + "World/Europe/GRC/Health/People using at least basic drinking water services (% of population)", + "World/Europe/HRV/Health/People using at least basic drinking water services (% of population)", + "World/Asia/IDN/Health/People using at least basic drinking water services (% of population)", + "World/Asia/IND/Health/People using at least basic drinking water services (% of population)", 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population)", + "World/Pair/CHN/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/CMR/Health/People using at least basic sanitation services (% of population)", + "World/Latam/COL/Health/People using at least basic sanitation services (% of population)", + "World/Latam/CRI/Health/People using at least basic sanitation services (% of population)", + "World/Europe/DEU/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/DZA/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/EGY/Health/People using at least basic sanitation services (% of population)", + "World/Europe/ESP/Health/People using at least basic sanitation services (% of population)", + "World/Europe/FRA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/GBR/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/GHA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/GRC/Health/People using at least basic sanitation services (% of population)", + "World/Europe/HRV/Health/People using at least basic sanitation services (% of population)", + "World/Asia/IDN/Health/People using at least basic sanitation services (% of population)", + "World/Asia/IND/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/IRQ/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/ISR/Health/People using at least basic sanitation services (% of population)", + "World/Asia/KOR/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/LBR/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/MAR/Health/People using at least basic sanitation services (% of population)", + "World/Latam/MEX/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/MOZ/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/NGA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/NLD/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/OMN/Health/People using at least basic sanitation services (% of population)", + "World/Latam/PAN/Health/People using at least basic sanitation services (% of population)", + "World/Latam/PER/Health/People using at least basic sanitation services (% of population)", + "World/Asia/PHL/Health/People using at least basic sanitation services (% of population)", + "World/Europe/POL/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/SAU/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/SEN/Health/People using at least basic sanitation services (% of population)", + "World/Europe/SWE/Health/People using at least basic sanitation services (% of population)", + "World/Asia/THA/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/TUR/Health/People using at least basic sanitation services (% of population)", + "World/Pair/USA/Health/People using at least basic sanitation services (% of population)", + "World/Latam/VEN/Health/People using at least basic sanitation services (% of population)", + "World/Asia/VNM/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/YEM/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/ZAF/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/ARE/Health/People using safely managed sanitation services (% of population)", + "World/Latam/ARG/Health/People using safely managed sanitation services (% of population)", + "World/Europe/AUT/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/AZE/Health/People using safely managed sanitation services (% of population)", + "World/Asia/BGD/Health/People using safely managed sanitation services (% of population)", + "World/Latam/BRA/Health/People using safely managed sanitation services (% of population)", + "World/Latam/CHL/Health/People using safely managed sanitation services (% of population)", + "World/Pair/CHN/Health/People using safely managed sanitation services (% of population)", + "World/Latam/COL/Health/People using safely managed sanitation services (% of population)", + "World/Latam/CRI/Health/People using safely managed sanitation services (% of population)", + "World/Europe/DEU/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/DZA/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/EGY/Health/People using safely managed sanitation services (% of population)", + "World/Europe/FRA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/GBR/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/GHA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/GRC/Health/People using safely managed sanitation services (% of population)", + "World/Asia/IND/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/ISR/Health/People using safely managed sanitation services (% of population)", + "World/Asia/KOR/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/MAR/Health/People using safely managed sanitation services (% of population)", + "World/Latam/MEX/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/NGA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/NLD/Health/People using safely managed sanitation services (% of population)", + "World/Latam/PER/Health/People using safely managed sanitation services (% of population)", + "World/Asia/PHL/Health/People using safely managed sanitation services (% of population)", + "World/Europe/POL/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/QAT/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/SAU/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/SEN/Health/People using safely managed sanitation services (% of population)", + "World/Europe/SWE/Health/People using safely managed sanitation services (% of population)", + "World/Asia/THA/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/TUR/Health/People using safely managed sanitation services (% of population)", + "World/Pair/USA/Health/People using safely managed sanitation services (% of population)", + "World/Latam/VEN/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/YEM/Health/People using safely managed sanitation services (% of population)", + "World/Europe/AUT/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Permanent cropland (% of land area)", + "World/Latam/CHL/Agriculture/Permanent cropland (% of land area)", + "World/Pair/CHN/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/CMR/Agriculture/Permanent cropland (% of land area)", + "World/Latam/COL/Agriculture/Permanent cropland (% of land area)", + "World/Latam/CRI/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/DZA/Agriculture/Permanent cropland (% of land area)", + "World/Europe/FRA/Agriculture/Permanent cropland (% of land area)", + "World/Europe/GRC/Agriculture/Permanent cropland (% of land area)", + "World/Asia/IDN/Agriculture/Permanent cropland (% of land area)", + "World/Asia/IND/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/MAR/Agriculture/Permanent cropland (% of land area)", + "World/Latam/MEX/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/MOZ/Agriculture/Permanent cropland (% of land area)", + "World/Europe/NLD/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/OMN/Agriculture/Permanent cropland (% of land area)", + "World/Latam/PER/Agriculture/Permanent cropland (% of land area)", + "World/Asia/PHL/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/SEN/Agriculture/Permanent cropland (% of land area)", + "World/Asia/THA/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/TUR/Agriculture/Permanent cropland (% of land area)", + "World/Asia/VNM/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/ZAF/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/ARE/Demography/Population ages 0-14 (% of total population)", + "World/Latam/ARG/Demography/Population ages 0-14 (% of total population)", + "World/Europe/AUT/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/AZE/Demography/Population ages 0-14 (% of total population)", + "World/Asia/BGD/Demography/Population ages 0-14 (% of total population)", + "World/Latam/BRA/Demography/Population ages 0-14 (% of total population)", + "World/Latam/CHL/Demography/Population ages 0-14 (% of total population)", + "World/Pair/CHN/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/CMR/Demography/Population ages 0-14 (% of total population)", + "World/Latam/COL/Demography/Population ages 0-14 (% of total population)", + "World/Latam/CRI/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/EGY/Demography/Population ages 0-14 (% of total population)", + "World/Europe/FRA/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/GHA/Demography/Population ages 0-14 (% of total population)", + "World/Europe/HRV/Demography/Population ages 0-14 (% of total population)", + "World/Asia/IDN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/IND/Demography/Population ages 0-14 (% of total population)", + "World/Asia/KOR/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/MAR/Demography/Population ages 0-14 (% of total population)", + "World/Latam/MEX/Demography/Population ages 0-14 (% of total population)", + "World/Europe/NLD/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/OMN/Demography/Population ages 0-14 (% of total population)", + "World/Latam/PAN/Demography/Population ages 0-14 (% of total population)", + "World/Latam/PER/Demography/Population ages 0-14 (% of total population)", + "World/Asia/PHL/Demography/Population ages 0-14 (% of total population)", + "World/Europe/POL/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/SAU/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/SEN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/THA/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/TUR/Demography/Population ages 0-14 (% of total population)", + "World/Pair/USA/Demography/Population ages 0-14 (% of total population)", + "World/Latam/VEN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/VNM/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/ARE/Demography/Population ages 15-64 (% of total population)", + "World/Latam/ARG/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/AZE/Demography/Population ages 15-64 (% of total population)", + "World/Asia/BGD/Demography/Population ages 15-64 (% of total population)", + "World/Latam/BRA/Demography/Population ages 15-64 (% of total population)", + "World/Latam/CHL/Demography/Population ages 15-64 (% of total population)", + "World/Pair/CHN/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/CMR/Demography/Population ages 15-64 (% of total population)", + "World/Latam/COL/Demography/Population ages 15-64 (% of total population)", + "World/Latam/CRI/Demography/Population ages 15-64 (% of total population)", + "World/Europe/DEU/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/EGY/Demography/Population ages 15-64 (% of total population)", + "World/Europe/FRA/Demography/Population ages 15-64 (% of total population)", + "World/Europe/GBR/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/GHA/Demography/Population ages 15-64 (% of total population)", + "World/Europe/GRC/Demography/Population ages 15-64 (% of total population)", + "World/Asia/IDN/Demography/Population ages 15-64 (% of total population)", + "World/Asia/IND/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/ISR/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/MAR/Demography/Population ages 15-64 (% of total population)", + "World/Latam/MEX/Demography/Population ages 15-64 (% of total population)", + "World/Europe/NLD/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/OMN/Demography/Population ages 15-64 (% of total population)", + "World/Latam/PAN/Demography/Population ages 15-64 (% of total population)", + "World/Latam/PER/Demography/Population ages 15-64 (% of total population)", + "World/Asia/PHL/Demography/Population ages 15-64 (% of total population)", + "World/Europe/POL/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/SAU/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/SEN/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/TUR/Demography/Population ages 15-64 (% of total population)", + "World/Pair/USA/Demography/Population ages 15-64 (% of total population)", + "World/Latam/VEN/Demography/Population ages 15-64 (% of total population)", + "World/Asia/VNM/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/ARE/Demography/Population ages 65 and above (% of total population)", + "World/Latam/ARG/Demography/Population ages 65 and above (% of total population)", + "World/Europe/AUT/Demography/Population ages 65 and above (% of total population)", + "World/Asia/BGD/Demography/Population ages 65 and above (% of total population)", + "World/Latam/BRA/Demography/Population ages 65 and above (% of total population)", + "World/Latam/CHL/Demography/Population ages 65 and above (% of total population)", + "World/Pair/CHN/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/CMR/Demography/Population ages 65 and above (% of total population)", + "World/Latam/COL/Demography/Population ages 65 and above (% of total population)", + "World/Latam/CRI/Demography/Population ages 65 and above (% of total population)", + "World/Europe/DEU/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/DZA/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/EGY/Demography/Population ages 65 and above (% of total population)", + "World/Europe/FRA/Demography/Population ages 65 and above (% of total population)", + "World/Europe/GBR/Demography/Population ages 65 and above (% of total population)", + "World/Europe/GRC/Demography/Population ages 65 and above (% of total population)", + "World/Europe/HRV/Demography/Population ages 65 and above (% of total population)", + "World/Asia/IDN/Demography/Population ages 65 and above (% of total population)", + "World/Asia/IND/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/ISR/Demography/Population ages 65 and above (% of total population)", + "World/Asia/KOR/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/MAR/Demography/Population ages 65 and above (% of total population)", + "World/Latam/MEX/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/MOZ/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/NGA/Demography/Population ages 65 and above (% of total population)", + "World/Europe/NLD/Demography/Population ages 65 and above (% of total population)", + "World/Latam/PAN/Demography/Population ages 65 and above (% of total population)", + "World/Latam/PER/Demography/Population ages 65 and above (% of total population)", + "World/Asia/PHL/Demography/Population ages 65 and above (% of total population)", + "World/Europe/POL/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 65 and above (% of total population)", + "World/Asia/THA/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/TUR/Demography/Population ages 65 and above (% of total population)", + "World/Pair/USA/Demography/Population ages 65 and above (% of total population)", + "World/Latam/VEN/Demography/Population ages 65 and above (% of total population)", + "World/Asia/VNM/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/ARE/Demography/Population in largest city", + "World/Latam/ARG/Demography/Population in largest city", + "World/Europe/AUT/Demography/Population in largest city", + "World/Persian Gulf/AZE/Demography/Population in largest city", + "World/Asia/BGD/Demography/Population in largest city", + "World/Latam/BRA/Demography/Population in largest city", + "World/Latam/CHL/Demography/Population in largest city", + "World/Pair/CHN/Demography/Population in largest city", + "World/South Africa/CMR/Demography/Population in largest city", + "World/Latam/COL/Demography/Population in largest city", + "World/Latam/CRI/Demography/Population in largest city", + "World/North Africa/DZA/Demography/Population in largest city", + "World/North Africa/EGY/Demography/Population in largest city", + "World/Europe/ESP/Demography/Population in largest city", + "World/Europe/FRA/Demography/Population in largest city", + "World/Europe/GBR/Demography/Population in largest city", + "World/South Africa/GHA/Demography/Population in largest city", + "World/Europe/GRC/Demography/Population in largest city", + "World/Europe/HRV/Demography/Population in largest city", + "World/Asia/IDN/Demography/Population in largest city", + "World/Asia/IND/Demography/Population in largest city", + "World/North Africa/ISR/Demography/Population in largest city", + "World/North Africa/MAR/Demography/Population in largest city", + "World/Latam/MEX/Demography/Population in largest city", + "World/South Africa/MOZ/Demography/Population in largest city", + "World/South Africa/NGA/Demography/Population in largest city", + "World/Europe/NLD/Demography/Population in largest city", + "World/Persian Gulf/OMN/Demography/Population in largest city", + "World/Latam/PAN/Demography/Population in largest city", + "World/Latam/PER/Demography/Population in largest city", + "World/Asia/PHL/Demography/Population in largest city", + "World/Europe/POL/Demography/Population in largest city", + "World/Persian Gulf/QAT/Demography/Population in largest city", + "World/Persian Gulf/SAU/Demography/Population in largest city", + "World/South Africa/SEN/Demography/Population in largest city", + "World/Asia/THA/Demography/Population in largest city", + "World/North Africa/TUR/Demography/Population in largest city", + "World/Pair/USA/Demography/Population in largest city", + "World/Latam/VEN/Demography/Population in largest city", + "World/Asia/VNM/Demography/Population in largest city", + "World/Persian Gulf/YEM/Demography/Population in largest city", + "World/South Africa/ZAF/Demography/Population in largest city", + "World/Persian Gulf/ARE/Demography/Population in the largest city (% of urban population)", + "World/Latam/ARG/Demography/Population in the largest city (% of urban population)", + "World/Europe/AUT/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/AZE/Demography/Population in the largest city (% of urban population)", + "World/Asia/BGD/Demography/Population in the largest city (% of urban population)", + "World/Latam/CHL/Demography/Population in the largest city (% of urban population)", + "World/South Africa/CMR/Demography/Population in the largest city (% of urban population)", + "World/Latam/COL/Demography/Population in the largest city (% of urban population)", + "World/Latam/CRI/Demography/Population in the largest city (% of urban population)", + "World/North Africa/DZA/Demography/Population in the largest city (% of urban population)", + "World/North Africa/EGY/Demography/Population in the largest city (% of urban population)", + "World/Europe/FRA/Demography/Population in the largest city (% of urban population)", + "World/Europe/GBR/Demography/Population in the largest city (% of urban population)", + "World/Asia/IDN/Demography/Population in the largest city (% of urban population)", + "World/Asia/IND/Demography/Population in the largest city (% of urban population)", + "World/North Africa/ISR/Demography/Population in the largest city (% of urban population)", + "World/Asia/KOR/Demography/Population in the largest city (% of urban population)", + "World/North Africa/MAR/Demography/Population in the largest city (% of urban population)", + "World/Latam/MEX/Demography/Population in the largest city (% of urban population)", + "World/South Africa/MOZ/Demography/Population in the largest city (% of urban population)", + "World/South Africa/NGA/Demography/Population in the largest city (% of urban population)", + "World/Europe/NLD/Demography/Population in the largest city (% of urban population)", + "World/Latam/PAN/Demography/Population in the largest city (% of urban population)", + "World/Latam/PER/Demography/Population in the largest city (% of urban population)", + "World/Europe/POL/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/QAT/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/SAU/Demography/Population in the largest city (% of urban population)", + "World/South Africa/SEN/Demography/Population in the largest city (% of urban population)", + "World/North Africa/TUR/Demography/Population in the largest city (% of urban population)", + "World/Pair/USA/Demography/Population in the largest city (% of urban population)", + "World/Latam/VEN/Demography/Population in the largest city (% of urban population)", + "World/Asia/VNM/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/YEM/Demography/Population in the largest city (% of urban population)", + "World/South Africa/ZAF/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/CHL/Demography/Population in urban agglomerations of more than 1 million", + "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/DEU/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/EGY/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/ESP/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/FRA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/ISR/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/NLD/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/OMN/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/PHL/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/SEN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million", + "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/VEN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/AZE/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/BGD/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/CHL/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Pair/CHN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/CMR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/EGY/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Europe/GBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/GHA/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/IDN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/IND/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/LBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/MAR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/MOZ/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/PAN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/PER/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/SEN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Europe/SWE/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/THA/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/TUR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/VNM/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Persian Gulf/YEM/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/ZAF/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Persian Gulf/ARE/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/AZE/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/BGD/Health/Pregnant women receiving prenatal care (%)", + "World/Pair/CHN/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/CMR/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/COL/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/CRI/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/DZA/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/EGY/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/IDN/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/IND/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/LBR/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/MAR/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/MOZ/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/NGA/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/PER/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/PHL/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/QAT/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/SAU/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/SEN/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/TUR/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/VEN/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/VNM/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/YEM/Health/Pregnant women receiving prenatal care (%)", + "World/Europe/AUT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/BGD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/BRA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Pair/CHN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/CMR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/COL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/CRI/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/DEU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/DZA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/EGY/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/ESP/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/GBR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/GHA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/GRC/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/IND/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/ISR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/MAR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/MEX/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/MOZ/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/NGA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/NLD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/PAN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/PER/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/PHL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/SEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Pair/USA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/VEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/VNM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/BGD/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/BRA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/CHL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Pair/CHN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/CMR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/COL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/CRI/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/DZA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/EGY/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/ESP/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/GBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/GHA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/ISR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/KOR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/LBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/MAR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/MEX/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/MOZ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/NGA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/NLD/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/PAN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/PER/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/PHL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/SEN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/THA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Pair/USA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/VEN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/VNM/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/ZAF/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/ARE/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/ARG/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/BGD/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/BRA/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/CHL/Health/Prevalence of anemia among pregnant women (%)", + "World/Pair/CHN/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/CMR/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/COL/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/CRI/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/DZA/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/EGY/Health/Prevalence of anemia among pregnant women (%)", + "World/Europe/GBR/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/GHA/Health/Prevalence of anemia among pregnant women (%)", + "World/Europe/HRV/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/IND/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/ISR/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/KOR/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/LBR/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/MAR/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/MEX/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/MOZ/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/NGA/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/PAN/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/PER/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/PHL/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/SEN/Health/Prevalence of anemia among pregnant women (%)", + "World/Pair/USA/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/VEN/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/VNM/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/ZAF/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/ARG/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/BGD/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/BRA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/CHL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Pair/CHN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/CMR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/COL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/CRI/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/DZA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/EGY/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/ESP/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/FRA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/GBR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/GHA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/GRC/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/ISR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/KOR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/LBR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/MAR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/MEX/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/MOZ/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/NGA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/NLD/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/PAN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/PER/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/PHL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/SEN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/THA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Pair/USA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/VEN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/VNM/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/ZAF/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/ARG/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/AUT/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/AZE/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/BGD/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/BRA/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/CHL/Health/Prevalence of current tobacco use (% of adults)", + "World/Pair/CHN/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/CMR/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/COL/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/CRI/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/DEU/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/DZA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/ESP/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/FRA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/GBR/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/GHA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/GRC/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/HRV/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/IDN/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/IND/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/IRQ/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/ISR/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/KOR/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/LBR/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/MAR/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/MEX/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/MOZ/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/NGA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/NLD/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/OMN/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/PAN/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/PER/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/PHL/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/POL/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/QAT/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/SEN/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/SWE/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/THA/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/TUR/Health/Prevalence of current tobacco use (% of adults)", + "World/Pair/USA/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/VNM/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/YEM/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/ZAF/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/ARG/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/AZE/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/BGD/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/CHL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Pair/CHN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/COL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/CRI/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/DZA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/EGY/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/GRC/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/IDN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/IND/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/KOR/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/MAR/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/MEX/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/South Africa/NGA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/NLD/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/OMN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/PAN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/PER/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/PHL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/POL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/QAT/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/SAU/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/THA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Pair/USA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/VEN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/VNM/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/YEM/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/South Africa/ZAF/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/AZE/Health/Prevalence of undernourishment (% of population)", + "World/Asia/BGD/Health/Prevalence of undernourishment (% of population)", + "World/Latam/BRA/Health/Prevalence of undernourishment (% of population)", + "World/Pair/CHN/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/CMR/Health/Prevalence of undernourishment (% of population)", + "World/North Africa/DZA/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/GHA/Health/Prevalence of undernourishment (% of population)", + "World/Asia/IDN/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/IRQ/Health/Prevalence of undernourishment (% of population)", + "World/North Africa/MAR/Health/Prevalence of undernourishment (% of population)", + "World/Latam/MEX/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/MOZ/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/NGA/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/OMN/Health/Prevalence of undernourishment (% of population)", + "World/Latam/PAN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/PHL/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/SEN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/THA/Health/Prevalence of undernourishment (% of population)", + "World/Latam/VEN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/VNM/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/YEM/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/ARE/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Persian Gulf/AZE/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Asia/BGD/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Latam/BRA/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Pair/CHN/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/South Africa/CMR/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Latam/CRI/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Europe/GBR/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Asia/IDN/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/South Africa/NGA/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Europe/NLD/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Persian Gulf/OMN/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Latam/PAN/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Persian Gulf/QAT/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Persian Gulf/SAU/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Latam/VEN/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Asia/VNM/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Persian Gulf/YEM/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Persian Gulf/AZE/Economy/Primary income payments (BoP, current US$)", + "World/Asia/BGD/Economy/Primary income payments (BoP, current US$)", + "World/Latam/BRA/Economy/Primary income payments (BoP, current US$)", + "World/Pair/CHN/Economy/Primary income payments (BoP, current US$)", + "World/Latam/COL/Economy/Primary income payments (BoP, current US$)", + "World/Latam/CRI/Economy/Primary income payments (BoP, current US$)", + "World/North Africa/EGY/Economy/Primary income payments (BoP, current US$)", + "World/Europe/ESP/Economy/Primary income payments (BoP, current US$)", + "World/South Africa/GHA/Economy/Primary income payments (BoP, current US$)", + "World/Europe/GRC/Economy/Primary income payments (BoP, current US$)", + "World/Europe/HRV/Economy/Primary income payments (BoP, current US$)", + "World/Asia/IDN/Economy/Primary income payments (BoP, current US$)", + "World/Asia/IND/Economy/Primary income payments (BoP, current US$)", + "World/North Africa/ISR/Economy/Primary income payments (BoP, current US$)", + "World/Asia/KOR/Economy/Primary income payments (BoP, current US$)", + "World/Latam/MEX/Economy/Primary income payments (BoP, current US$)", + "World/Europe/NLD/Economy/Primary income payments (BoP, current US$)", + "World/Persian Gulf/OMN/Economy/Primary income payments (BoP, current US$)", + "World/Latam/PAN/Economy/Primary income payments (BoP, current US$)", + "World/Latam/PER/Economy/Primary income payments (BoP, current US$)", + "World/Asia/PHL/Economy/Primary income payments (BoP, current US$)", + "World/Europe/POL/Economy/Primary income payments (BoP, current US$)", + "World/Persian Gulf/SAU/Economy/Primary income payments (BoP, current US$)", + "World/South 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"World/Pair/USA/Economy/Primary income receipts (BoP, current US$)", + "World/Asia/VNM/Economy/Primary income receipts (BoP, current US$)", + "World/Persian Gulf/YEM/Economy/Primary income receipts (BoP, current US$)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/AZE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/BRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/CRI/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/MEX/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South 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(per 1,000)", + "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/NGA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/NLD/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/OMN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/PAN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/PER/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/PHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/POL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/QAT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/SAU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/SEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/VEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/AZE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/BRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/CRI/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/MEX/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South 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"World/Europe/SWE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/NGA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/NLD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/OMN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/PAN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/PER/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/PHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/POL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/QAT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/SAU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/SEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/VEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/ARG/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/AZE/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/CHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Pair/CHN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/COL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket 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"World/Latam/MEX/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/South Africa/MOZ/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/South Africa/NGA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/PAN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/PER/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Asia/PHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/SAU/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/South Africa/SEN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Asia/THA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/North Africa/TUR/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Pair/USA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Asia/VNM/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/YEM/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/AZE/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/BGD/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/BRA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/CHL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Pair/CHN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/CMR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/DZA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/EGY/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Europe/GBR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/GHA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/IND/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/ISR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/KOR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/MEX/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/MOZ/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/PAN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/PHL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Europe/POL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/SEN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/THA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/TUR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Pair/USA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/VNM/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/GHA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/IND/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/NGA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Pair/CHN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/POL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/VEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/ARE/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/ARG/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/BGD/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Pair/CHN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/CRI/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/DEU/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/EGY/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/GBR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/GHA/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/GRC/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/IDN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/IND/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/KOR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/MAR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/MEX/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/MOZ/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/NLD/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/PAN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/PHL/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/POL/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Persian Gulf/SAU/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/SWE/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/TUR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Pair/USA/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/VNM/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/ZAF/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Persian Gulf/ARE/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/ARG/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/AUT/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/AZE/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/BGD/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/BRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/CHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Pair/CHN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/CMR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/COL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/CRI/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/DZA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/EGY/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/ESP/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/FRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/GBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/GHA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/IDN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/IND/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/ISR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/KOR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/LBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/MAR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/MEX/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/MOZ/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/NGA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/NLD/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/OMN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/PAN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/PER/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/PHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/POL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/QAT/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/SAU/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/SEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/THA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/TUR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Pair/USA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/VEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/VNM/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/YEM/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/ZAF/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/AUT/R&D/Researchers in R&D (per million people)", + "World/Latam/BRA/R&D/Researchers in R&D (per million people)", + "World/Pair/CHN/R&D/Researchers in R&D (per million people)", + "World/Europe/DEU/R&D/Researchers in R&D (per million people)", + "World/North Africa/DZA/R&D/Researchers in R&D (per million people)", + "World/Europe/ESP/R&D/Researchers in R&D (per million people)", + "World/Europe/FRA/R&D/Researchers in R&D (per million people)", + "World/Europe/GBR/R&D/Researchers in R&D (per million people)", + "World/South Africa/GHA/R&D/Researchers in R&D (per million people)", + "World/Europe/GRC/R&D/Researchers in R&D (per million people)", + "World/Asia/IND/R&D/Researchers in R&D (per million people)", + "World/Asia/KOR/R&D/Researchers in R&D (per million people)", + "World/North Africa/MAR/R&D/Researchers in R&D (per million people)", + "World/South Africa/MOZ/R&D/Researchers in R&D (per million people)", + "World/Europe/NLD/R&D/Researchers in R&D (per million people)", + "World/Persian Gulf/OMN/R&D/Researchers in R&D (per million people)", + "World/Asia/PHL/R&D/Researchers in R&D (per million people)", + "World/Europe/POL/R&D/Researchers in R&D (per million people)", + "World/Asia/THA/R&D/Researchers in R&D (per million people)", + "World/North Africa/TUR/R&D/Researchers in R&D (per million people)", + "World/Pair/USA/R&D/Researchers in R&D (per million people)", + "World/Latam/VEN/R&D/Researchers in R&D (per million people)", + "World/Persian Gulf/AZE/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/BGD/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/BRA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/CHL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Pair/CHN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/CRI/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/North Africa/EGY/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Europe/ESP/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/South Africa/GHA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/IND/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/KOR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/North Africa/MAR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/MEX/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/PAN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/PER/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Europe/POL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/THA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Pair/USA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/VNM/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Persian Gulf/AZE/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/BGD/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/BRA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/CHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Pair/CHN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/CMR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/COL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/CRI/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/DZA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/EGY/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/GHA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/IDN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/IND/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/MAR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/MEX/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/MOZ/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/PAN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/PER/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/PHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Europe/POL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/SEN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/THA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/VNM/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Persian Gulf/ARE/Demography/Rural population", + "World/Latam/ARG/Demography/Rural population", + "World/Europe/AUT/Demography/Rural population", + "World/Persian Gulf/AZE/Demography/Rural population", + "World/Asia/BGD/Demography/Rural population", + "World/Latam/BRA/Demography/Rural population", + "World/Pair/CHN/Demography/Rural population", + "World/South Africa/CMR/Demography/Rural population", + "World/Latam/COL/Demography/Rural population", + "World/Latam/CRI/Demography/Rural population", + "World/North Africa/DZA/Demography/Rural population", + "World/North Africa/EGY/Demography/Rural population", + "World/Europe/FRA/Demography/Rural population", + "World/Europe/GBR/Demography/Rural population", + "World/South Africa/GHA/Demography/Rural population", + "World/Europe/GRC/Demography/Rural population", + "World/Europe/HRV/Demography/Rural population", + "World/Asia/IDN/Demography/Rural population", + "World/Asia/IND/Demography/Rural population", + "World/North Africa/ISR/Demography/Rural population", + "World/South Africa/LBR/Demography/Rural population", + "World/North Africa/MAR/Demography/Rural population", + "World/South Africa/MOZ/Demography/Rural population", + "World/South Africa/NGA/Demography/Rural population", + "World/Europe/NLD/Demography/Rural population", + "World/Persian Gulf/OMN/Demography/Rural population", + "World/Latam/PAN/Demography/Rural population", + "World/Asia/PHL/Demography/Rural population", + "World/Europe/POL/Demography/Rural population", + "World/Persian Gulf/QAT/Demography/Rural population", + "World/Persian Gulf/SAU/Demography/Rural population", + "World/South Africa/SEN/Demography/Rural population", + "World/North Africa/TUR/Demography/Rural population", + "World/Pair/USA/Demography/Rural population", + "World/Asia/VNM/Demography/Rural population", + "World/Persian Gulf/YEM/Demography/Rural population", + "World/Persian Gulf/ARE/Demography/Rural population (% of total population)", + "World/Latam/ARG/Demography/Rural population (% of total population)", + "World/Persian Gulf/AZE/Demography/Rural population (% of total population)", + "World/Asia/BGD/Demography/Rural population (% of total population)", + "World/Latam/BRA/Demography/Rural population (% of total population)", + "World/Latam/CHL/Demography/Rural population (% of total population)", + "World/Pair/CHN/Demography/Rural population (% of total population)", + "World/South Africa/CMR/Demography/Rural population (% of total population)", + "World/Latam/COL/Demography/Rural population (% of total population)", + "World/Latam/CRI/Demography/Rural population (% of total population)", + "World/Europe/DEU/Demography/Rural population (% of total population)", + "World/North Africa/DZA/Demography/Rural population (% of total population)", + "World/Europe/ESP/Demography/Rural population (% of total population)", + "World/Europe/FRA/Demography/Rural population (% of total population)", + "World/Europe/GBR/Demography/Rural population (% of total population)", + "World/South Africa/GHA/Demography/Rural population (% of total population)", + "World/Europe/GRC/Demography/Rural population (% of total population)", + "World/Europe/HRV/Demography/Rural population (% of total population)", + "World/Asia/IDN/Demography/Rural population (% of total population)", + "World/Asia/IND/Demography/Rural population (% of total population)", + "World/Persian Gulf/IRQ/Demography/Rural population (% of total population)", + "World/North Africa/ISR/Demography/Rural population (% of total population)", + "World/South Africa/LBR/Demography/Rural population (% of total population)", + "World/North Africa/MAR/Demography/Rural population (% of total population)", + "World/Latam/MEX/Demography/Rural population (% of total population)", + "World/South Africa/MOZ/Demography/Rural population (% of total population)", + "World/South Africa/NGA/Demography/Rural population (% of total population)", + "World/Europe/NLD/Demography/Rural population (% of total population)", + "World/Persian Gulf/OMN/Demography/Rural population (% of total population)", + "World/Latam/PAN/Demography/Rural population (% of total population)", + "World/Latam/PER/Demography/Rural population (% of total population)", + "World/Europe/POL/Demography/Rural population (% of total population)", + "World/Persian Gulf/QAT/Demography/Rural population (% of total population)", + "World/Persian Gulf/SAU/Demography/Rural population (% of total population)", + "World/South Africa/SEN/Demography/Rural population (% of total population)", + "World/Asia/THA/Demography/Rural population (% of total population)", + "World/North Africa/TUR/Demography/Rural population (% of total population)", + "World/Pair/USA/Demography/Rural population (% of total population)", + "World/Latam/VEN/Demography/Rural population (% of total population)", + "World/Asia/VNM/Demography/Rural population (% of total population)", + "World/Persian Gulf/YEM/Demography/Rural population (% of total population)", + "World/South Africa/ZAF/Demography/Rural population (% of total population)", + "World/Persian Gulf/ARE/industry/Scientific and technical journal articles", + "World/Latam/ARG/industry/Scientific and technical journal articles", + "World/Europe/AUT/industry/Scientific and technical journal articles", + "World/Persian Gulf/AZE/industry/Scientific and technical journal articles", + "World/Asia/BGD/industry/Scientific and technical journal articles", + "World/Latam/BRA/industry/Scientific and technical journal articles", + "World/Latam/CHL/industry/Scientific and technical journal articles", + "World/Pair/CHN/industry/Scientific and technical journal articles", + "World/South Africa/CMR/industry/Scientific and technical journal articles", + "World/Latam/COL/industry/Scientific and technical journal articles", + "World/Latam/CRI/industry/Scientific and technical journal articles", + "World/North Africa/DZA/industry/Scientific 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"World/Europe/SWE/industry/Scientific and technical journal articles", + "World/Asia/THA/industry/Scientific and technical journal articles", + "World/North Africa/TUR/industry/Scientific and technical journal articles", + "World/Pair/USA/industry/Scientific and technical journal articles", + "World/Latam/VEN/industry/Scientific and technical journal articles", + "World/Asia/VNM/industry/Scientific and technical journal articles", + "World/Persian Gulf/YEM/industry/Scientific and technical journal articles", + "World/South Africa/ZAF/industry/Scientific and technical journal articles", + "World/Persian Gulf/AZE/Economy/Secondary income receipts (BoP, current US$)", + "World/Asia/BGD/Economy/Secondary income receipts (BoP, current US$)", + "World/Latam/CHL/Economy/Secondary income receipts (BoP, current US$)", + "World/South Africa/CMR/Economy/Secondary income receipts (BoP, current US$)", + "World/Latam/COL/Economy/Secondary income receipts (BoP, current US$)", + "World/Latam/CRI/Economy/Secondary income receipts (BoP, current US$)", + "World/Europe/DEU/Economy/Secondary income receipts (BoP, current US$)", + "World/North Africa/DZA/Economy/Secondary income receipts (BoP, current US$)", + "World/North Africa/EGY/Economy/Secondary income receipts (BoP, current US$)", + "World/South Africa/GHA/Economy/Secondary income receipts (BoP, current US$)", + "World/Asia/IDN/Economy/Secondary income receipts (BoP, current US$)", + "World/Asia/IND/Economy/Secondary income receipts (BoP, current US$)", + "World/North Africa/ISR/Economy/Secondary income receipts (BoP, current US$)", + "World/Asia/KOR/Economy/Secondary income receipts (BoP, current US$)", + "World/North Africa/MAR/Economy/Secondary income receipts (BoP, current US$)", + "World/Latam/MEX/Economy/Secondary income receipts (BoP, current US$)", + "World/South Africa/NGA/Economy/Secondary income receipts (BoP, current US$)", + "World/Europe/NLD/Economy/Secondary income receipts (BoP, current US$)", + "World/Latam/PER/Economy/Secondary income receipts (BoP, current US$)", + "World/Asia/PHL/Economy/Secondary income receipts (BoP, current US$)", + "World/South Africa/SEN/Economy/Secondary income receipts (BoP, current US$)", + "World/Europe/SWE/Economy/Secondary income receipts (BoP, current US$)", + "World/Asia/THA/Economy/Secondary income receipts (BoP, current US$)", + "World/Pair/USA/Economy/Secondary income receipts (BoP, current US$)", + "World/Asia/VNM/Economy/Secondary income receipts (BoP, current US$)", + "World/Persian Gulf/YEM/Economy/Secondary income receipts (BoP, current US$)", + "World/South Africa/ZAF/Economy/Secondary income receipts (BoP, current US$)", + "World/Europe/AUT/Exports/Service exports (BoP, current US$)", + "World/Persian Gulf/AZE/Exports/Service exports (BoP, current US$)", + "World/Asia/BGD/Exports/Service exports (BoP, current US$)", + "World/Latam/BRA/Exports/Service exports (BoP, current US$)", + "World/Latam/CHL/Exports/Service exports (BoP, current US$)", + "World/Pair/CHN/Exports/Service exports (BoP, current US$)", + "World/South Africa/CMR/Exports/Service exports (BoP, current US$)", + "World/Latam/COL/Exports/Service exports (BoP, current US$)", + "World/Latam/CRI/Exports/Service exports (BoP, current US$)", + "World/Europe/DEU/Exports/Service exports (BoP, current US$)", + "World/North Africa/DZA/Exports/Service exports (BoP, current US$)", + "World/Europe/ESP/Exports/Service exports (BoP, current US$)", + "World/Europe/FRA/Exports/Service exports (BoP, current US$)", + "World/Europe/GBR/Exports/Service exports (BoP, current US$)", + "World/South Africa/GHA/Exports/Service exports (BoP, current US$)", + "World/Europe/GRC/Exports/Service exports (BoP, current US$)", + "World/Europe/HRV/Exports/Service exports (BoP, current US$)", + "World/Asia/IDN/Exports/Service exports (BoP, current US$)", + "World/Asia/IND/Exports/Service exports (BoP, current US$)", + "World/North Africa/ISR/Exports/Service exports (BoP, current US$)", + "World/Asia/KOR/Exports/Service exports (BoP, current US$)", + "World/North Africa/MAR/Exports/Service exports (BoP, current US$)", + "World/Europe/NLD/Exports/Service exports (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/Service exports (BoP, current US$)", + "World/Latam/PAN/Exports/Service exports (BoP, current US$)", + "World/Latam/PER/Exports/Service exports (BoP, current US$)", + "World/Asia/PHL/Exports/Service exports (BoP, current US$)", + "World/Europe/POL/Exports/Service exports (BoP, current US$)", + "World/Persian Gulf/QAT/Exports/Service exports (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/Service exports (BoP, current US$)", + "World/South Africa/SEN/Exports/Service exports (BoP, current US$)", + "World/Europe/SWE/Exports/Service exports (BoP, current US$)", + "World/Asia/THA/Exports/Service exports (BoP, current US$)", + "World/North Africa/TUR/Exports/Service exports (BoP, current US$)", + "World/Pair/USA/Exports/Service exports (BoP, current US$)", + "World/Asia/VNM/Exports/Service exports (BoP, current US$)", + "World/South Africa/ZAF/Exports/Service exports (BoP, current US$)", + "World/Latam/ARG/Imports/Service imports (BoP, current US$)", + "World/Europe/AUT/Imports/Service imports (BoP, current US$)", + "World/Persian Gulf/AZE/Imports/Service imports (BoP, current US$)", + "World/Asia/BGD/Imports/Service imports (BoP, current US$)", + "World/Latam/BRA/Imports/Service imports (BoP, current US$)", + "World/Latam/CHL/Imports/Service imports (BoP, current US$)", + "World/Pair/CHN/Imports/Service imports (BoP, current US$)", + "World/South Africa/CMR/Imports/Service imports (BoP, current US$)", + "World/Latam/COL/Imports/Service imports (BoP, current US$)", + "World/Latam/CRI/Imports/Service imports (BoP, current US$)", + "World/Europe/DEU/Imports/Service imports (BoP, current US$)", + "World/North Africa/DZA/Imports/Service imports (BoP, current US$)", + "World/North Africa/EGY/Imports/Service imports (BoP, current US$)", + "World/Europe/ESP/Imports/Service imports (BoP, current US$)", + "World/Europe/FRA/Imports/Service imports (BoP, current US$)", + "World/Europe/GBR/Imports/Service imports (BoP, current US$)", + "World/South Africa/GHA/Imports/Service imports (BoP, current US$)", + "World/Europe/HRV/Imports/Service imports (BoP, current US$)", + "World/Asia/IDN/Imports/Service imports (BoP, current US$)", + "World/Asia/IND/Imports/Service imports (BoP, current US$)", + "World/North Africa/ISR/Imports/Service imports (BoP, current US$)", + "World/Asia/KOR/Imports/Service imports (BoP, current US$)", + "World/North Africa/MAR/Imports/Service imports (BoP, current US$)", + "World/Latam/MEX/Imports/Service imports (BoP, current US$)", + "World/South Africa/MOZ/Imports/Service imports (BoP, current US$)", + "World/South Africa/NGA/Imports/Service imports (BoP, current US$)", + "World/Europe/NLD/Imports/Service imports (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Service imports (BoP, current US$)", + "World/Latam/PAN/Imports/Service imports (BoP, current US$)", + "World/Latam/PER/Imports/Service imports (BoP, current US$)", + "World/Asia/PHL/Imports/Service imports (BoP, current US$)", + "World/Europe/POL/Imports/Service imports (BoP, current US$)", + "World/Persian Gulf/QAT/Imports/Service imports (BoP, current US$)", + "World/South Africa/SEN/Imports/Service imports (BoP, current US$)", + "World/Europe/SWE/Imports/Service imports (BoP, current US$)", + "World/Asia/THA/Imports/Service imports (BoP, current US$)", + "World/North Africa/TUR/Imports/Service imports (BoP, current US$)", + "World/Pair/USA/Imports/Service imports (BoP, current US$)", + "World/Asia/VNM/Imports/Service imports (BoP, current US$)", + "World/South Africa/ZAF/Imports/Service imports (BoP, current US$)", + "World/Persian Gulf/ARE/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Europe/AUT/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/BGD/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/BRA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/CHL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Pair/CHN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/COL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/DZA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/EGY/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/IDN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/IND/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/MAR/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/MEX/Mortality/Suicide mortality rate (per 100,000 population)", + "World/South Africa/NGA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/PAN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/PHL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Europe/POL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/QAT/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/SAU/Mortality/Suicide mortality rate (per 100,000 population)", + "World/South Africa/SEN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/TUR/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Pair/USA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/VEN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/VNM/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/YEM/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/ARG/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/AUT/Taxes/Taxes less subsidies on products (current US$)", + "World/Persian Gulf/AZE/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/BGD/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/BRA/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/CHL/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/CMR/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/COL/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/CRI/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/DEU/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/DZA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/ESP/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/FRA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/GBR/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/GHA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/GRC/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/HRV/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/IND/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/ISR/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/KOR/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/MAR/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/MEX/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/MOZ/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/NGA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/NLD/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/PAN/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/PER/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/POL/Taxes/Taxes less subsidies on products (current US$)", + "World/Persian Gulf/SAU/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/SEN/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/SWE/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/TUR/Taxes/Taxes less subsidies on products (current US$)", + "World/Pair/USA/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/VEN/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/VNM/Taxes/Taxes less subsidies on products (current US$)", + "World/Persian Gulf/YEM/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/ZAF/Taxes/Taxes less subsidies on products (current US$)", + "World/Persian Gulf/AZE/Economy/Taxes on international trade (% of revenue)", + "World/Latam/CHL/Economy/Taxes on international trade (% of revenue)", + "World/Pair/CHN/Economy/Taxes on international trade (% of revenue)", + "World/South Africa/CMR/Economy/Taxes on international trade (% of revenue)", + "World/Latam/COL/Economy/Taxes on international trade (% of revenue)", + "World/North Africa/EGY/Economy/Taxes on international trade (% of revenue)", + "World/Europe/ESP/Economy/Taxes on international trade (% of revenue)", + "World/South Africa/GHA/Economy/Taxes on international trade (% of revenue)", + "World/Europe/HRV/Economy/Taxes on international trade (% of revenue)", + "World/Asia/IND/Economy/Taxes on international trade (% of revenue)", + "World/Asia/KOR/Economy/Taxes on international trade (% of revenue)", + "World/North Africa/MAR/Economy/Taxes on international trade (% of revenue)", + "World/Latam/MEX/Economy/Taxes on international trade (% of revenue)", + "World/Latam/PAN/Economy/Taxes on international trade (% of revenue)", + "World/Latam/PER/Economy/Taxes on international trade (% of revenue)", + "World/Europe/POL/Economy/Taxes on international trade (% of revenue)", + "World/Asia/THA/Economy/Taxes on international trade (% of revenue)", + "World/Latam/ARG/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/AUT/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Asia/BGD/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/CHL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Pair/CHN/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/COL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/CRI/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/DEU/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/DZA/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/ESP/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/FRA/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/GBR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/GRC/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/ISR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Asia/KOR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/MAR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/MEX/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Persian Gulf/OMN/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/PER/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/POL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/SWE/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Pair/USA/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Persian Gulf/ARE/Industry/Time required to start a business (days)", + "World/Persian Gulf/AZE/Industry/Time required to start a business (days)", + "World/Latam/CHL/Industry/Time required to start a business (days)", + "World/Pair/CHN/Industry/Time required to start a business (days)", + "World/South Africa/CMR/Industry/Time required to start a business (days)", + "World/Latam/COL/Industry/Time required to start a business (days)", + "World/Latam/CRI/Industry/Time required to start a business (days)", + "World/Europe/DEU/Industry/Time required to start a business (days)", + "World/North Africa/DZA/Industry/Time required to start a business (days)", + "World/Europe/ESP/Industry/Time required to start a business (days)", + "World/Europe/FRA/Industry/Time required to start a business (days)", + "World/Europe/GBR/Industry/Time required to start a business (days)", + "World/Asia/IND/Industry/Time required to start a business (days)", + "World/Asia/KOR/Industry/Time required to start a business (days)", + "World/South Africa/LBR/Industry/Time required to start a business (days)", + "World/North Africa/MAR/Industry/Time required to start a business (days)", + "World/South Africa/MOZ/Industry/Time required to start a business (days)", + "World/Europe/NLD/Industry/Time required to start a business (days)", + "World/Persian Gulf/OMN/Industry/Time required to start a business (days)", + "World/Latam/PAN/Industry/Time required to start a business (days)", + "World/Latam/PER/Industry/Time required to start a business (days)", + "World/Europe/POL/Industry/Time required to start a business (days)", + "World/Persian Gulf/SAU/Industry/Time required to start a business (days)", + "World/South Africa/SEN/Industry/Time required to start a business (days)", + "World/Asia/THA/Industry/Time required to start a business (days)", + "World/Latam/VEN/Industry/Time required to start a business (days)", + "World/Asia/VNM/Industry/Time required to start a business (days)", + "World/Persian Gulf/YEM/Industry/Time required to start a business (days)", + "World/South Africa/ZAF/Industry/Time required to start a business (days)", + "World/Latam/ARG/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Persian Gulf/AZE/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/BGD/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/CHL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/COL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/CRI/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/North Africa/EGY/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/South Africa/GHA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Europe/GRC/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Europe/HRV/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/IDN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/IND/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/South Africa/LBR/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/MEX/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/South Africa/MOZ/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/South Africa/NGA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/PAN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/PER/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/PHL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Europe/POL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/South Africa/SEN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/THA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/North Africa/TUR/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/VEN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/VNM/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Persian Gulf/YEM/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/South Africa/ZAF/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/ARG/R&D/Time to obtain an electrical connection (days)", + "World/Asia/BGD/R&D/Time to obtain an electrical connection (days)", + "World/Latam/CHL/R&D/Time to obtain an electrical connection (days)", + "World/South Africa/CMR/R&D/Time to obtain an electrical connection (days)", + "World/Latam/COL/R&D/Time to obtain an electrical connection (days)", + "World/Latam/CRI/R&D/Time to obtain an electrical connection (days)", + "World/North Africa/EGY/R&D/Time to obtain an electrical connection (days)", + "World/South Africa/GHA/R&D/Time to obtain an electrical connection (days)", + "World/Europe/GRC/R&D/Time to obtain an electrical connection (days)", + "World/Asia/IDN/R&D/Time to obtain an electrical connection (days)", + "World/Asia/IND/R&D/Time to obtain an electrical connection (days)", + "World/North Africa/MAR/R&D/Time to obtain an electrical connection (days)", + "World/Latam/MEX/R&D/Time to obtain an electrical connection (days)", + "World/South Africa/MOZ/R&D/Time to obtain an electrical connection (days)", + "World/South Africa/NGA/R&D/Time to obtain an electrical connection (days)", + "World/Latam/PAN/R&D/Time to obtain an electrical connection (days)", + "World/Latam/PER/R&D/Time to obtain an electrical connection (days)", + "World/Asia/PHL/R&D/Time to obtain an electrical connection (days)", + "World/Europe/POL/R&D/Time to obtain an electrical connection (days)", + "World/South Africa/SEN/R&D/Time to obtain an electrical connection (days)", + "World/North Africa/TUR/R&D/Time to obtain an electrical connection (days)", + "World/Latam/VEN/R&D/Time to obtain an electrical connection (days)", + "World/Asia/VNM/R&D/Time to obtain an electrical connection (days)", + "World/South Africa/ZAF/R&D/Time to obtain an electrical connection (days)", + "World/Persian Gulf/ARE/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/ARG/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/AUT/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/AZE/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/BGD/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/BRA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/CHL/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Pair/CHN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/CRI/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/North Africa/EGY/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/GBR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/South Africa/GHA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/HRV/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/IND/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/North Africa/ISR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/KOR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/North Africa/MAR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/MEX/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/South Africa/MOZ/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/South Africa/NGA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/NLD/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/OMN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/PAN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/POL/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/QAT/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/THA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Pair/USA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/VEN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/VNM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/YEM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/ARE/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/AZE/Industry/Total fisheries production (metric tons)", + "World/Asia/BGD/Industry/Total fisheries production (metric tons)", + "World/Latam/BRA/Industry/Total fisheries production (metric tons)", + "World/Latam/CHL/Industry/Total fisheries production (metric tons)", + "World/Pair/CHN/Industry/Total fisheries production (metric tons)", + "World/South Africa/CMR/Industry/Total fisheries production (metric tons)", + "World/Latam/CRI/Industry/Total fisheries production (metric tons)", + "World/North Africa/EGY/Industry/Total fisheries production (metric tons)", + "World/Europe/HRV/Industry/Total fisheries production (metric tons)", + "World/Asia/IDN/Industry/Total fisheries production (metric tons)", + "World/Asia/IND/Industry/Total fisheries production (metric tons)", + "World/North Africa/ISR/Industry/Total fisheries production (metric tons)", + "World/North Africa/MAR/Industry/Total fisheries production (metric tons)", + "World/Latam/MEX/Industry/Total fisheries production (metric tons)", + "World/South Africa/MOZ/Industry/Total fisheries production (metric tons)", + "World/South Africa/NGA/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/OMN/Industry/Total fisheries production (metric tons)", + "World/Asia/PHL/Industry/Total fisheries production (metric tons)", + "World/Europe/POL/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/SAU/Industry/Total fisheries production (metric tons)", + "World/Asia/THA/Industry/Total fisheries production (metric tons)", + "World/Asia/VNM/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/BGD/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/CHL/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Pair/CHN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/CRI/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/DZA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/EGY/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/GBR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/HRV/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/IND/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/IRQ/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/ISR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/KOR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/MAR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/MEX/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/NLD/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/PAN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/PHL/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/SWE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/THA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/TUR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Pair/USA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/VNM/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/BGD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/BRA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/CHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Pair/CHN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/CMR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/COL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/CRI/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/DEU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/DZA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/EGY/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/GBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/GHA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/GRC/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/IDN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/IND/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/ISR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/KOR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/LBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/MAR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/MEX/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/NGA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/NLD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/PAN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/PER/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/PHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/SAU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/SEN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/SWE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/THA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/TUR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/VNM/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/ARE/Economy/Total reserves (includes gold, current US$)", + "World/Asia/BGD/Economy/Total reserves (includes gold, current US$)", + "World/Latam/BRA/Economy/Total reserves (includes gold, current US$)", + "World/Latam/CHL/Economy/Total reserves (includes gold, current US$)", + "World/Pair/CHN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/COL/Economy/Total reserves (includes gold, current US$)", + "World/Latam/CRI/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/DZA/Economy/Total reserves (includes gold, current US$)", + "World/Europe/ESP/Economy/Total reserves (includes gold, current US$)", + "World/Europe/FRA/Economy/Total reserves (includes gold, current US$)", + "World/Europe/GBR/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/GHA/Economy/Total reserves (includes gold, current US$)", + "World/Asia/IDN/Economy/Total reserves (includes gold, current US$)", + "World/Asia/IND/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/IRQ/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/ISR/Economy/Total reserves (includes gold, current US$)", + "World/Asia/KOR/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/LBR/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/MAR/Economy/Total reserves (includes gold, current US$)", + "World/Latam/MEX/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/MOZ/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/OMN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/PAN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/PER/Economy/Total reserves (includes gold, current US$)", + "World/Asia/PHL/Economy/Total reserves (includes gold, current US$)", + "World/Europe/POL/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/QAT/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/SAU/Economy/Total reserves (includes gold, current US$)", + "World/Europe/SWE/Economy/Total reserves (includes gold, current US$)", + "World/Asia/THA/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/TUR/Economy/Total reserves (includes gold, current US$)", + "World/Pair/USA/Economy/Total reserves (includes gold, current US$)", + "World/Latam/VEN/Economy/Total reserves (includes gold, current US$)", + "World/Asia/VNM/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/ZAF/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/ARE/Economy/Total reserves minus gold (current US$)", + "World/Asia/BGD/Economy/Total reserves minus gold (current US$)", + "World/Latam/BRA/Economy/Total reserves minus gold (current US$)", + "World/Latam/CHL/Economy/Total reserves minus gold (current US$)", + "World/Pair/CHN/Economy/Total reserves minus gold (current US$)", + "World/Latam/COL/Economy/Total reserves minus gold (current US$)", + "World/Latam/CRI/Economy/Total reserves minus gold (current US$)", + "World/North Africa/DZA/Economy/Total reserves minus gold (current US$)", + "World/Europe/FRA/Economy/Total reserves minus gold (current US$)", + "World/Europe/GBR/Economy/Total reserves minus gold (current US$)", + "World/South Africa/GHA/Economy/Total reserves minus gold (current US$)", + "World/Asia/IDN/Economy/Total reserves minus gold (current US$)", + "World/Asia/IND/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/IRQ/Economy/Total reserves minus gold (current US$)", + "World/North Africa/ISR/Economy/Total reserves minus gold (current US$)", + "World/Asia/KOR/Economy/Total reserves minus gold (current US$)", + "World/South Africa/LBR/Economy/Total reserves minus gold (current US$)", + "World/North Africa/MAR/Economy/Total reserves minus gold (current US$)", + "World/Latam/MEX/Economy/Total reserves minus gold (current US$)", + "World/South Africa/MOZ/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/OMN/Economy/Total reserves minus gold (current US$)", + "World/Latam/PAN/Economy/Total reserves minus gold (current US$)", + "World/Latam/PER/Economy/Total reserves minus gold (current US$)", + "World/Asia/PHL/Economy/Total reserves minus gold (current US$)", + "World/Europe/POL/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/QAT/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/SAU/Economy/Total reserves minus gold (current US$)", + "World/Europe/SWE/Economy/Total reserves minus gold (current US$)", + "World/Asia/THA/Economy/Total reserves minus gold (current US$)", + "World/North Africa/TUR/Economy/Total reserves minus gold (current US$)", + "World/Latam/VEN/Economy/Total reserves minus gold (current US$)", + "World/Asia/VNM/Economy/Total reserves minus gold (current US$)", + "World/South Africa/ZAF/Economy/Total reserves minus gold (current US$)", + "World/Latam/ARG/Health/UHC service coverage index", + "World/Europe/AUT/Health/UHC service coverage index", + "World/Persian Gulf/AZE/Health/UHC service coverage index", + "World/Asia/BGD/Health/UHC service coverage index", + "World/Latam/BRA/Health/UHC service coverage index", + "World/Latam/CHL/Health/UHC service coverage index", + "World/Pair/CHN/Health/UHC service coverage index", + "World/South Africa/CMR/Health/UHC service coverage index", + "World/Latam/COL/Health/UHC service coverage index", + "World/Latam/CRI/Health/UHC service coverage index", + "World/Europe/DEU/Health/UHC service coverage index", + "World/North Africa/DZA/Health/UHC service coverage index", + "World/North Africa/EGY/Health/UHC service coverage index", + "World/Europe/ESP/Health/UHC service coverage index", + "World/Europe/FRA/Health/UHC service coverage index", + "World/Europe/GBR/Health/UHC service coverage index", + "World/South Africa/GHA/Health/UHC service coverage index", + "World/Europe/GRC/Health/UHC service coverage index", + "World/Europe/HRV/Health/UHC service coverage index", + "World/Asia/IDN/Health/UHC service coverage index", + "World/Asia/IND/Health/UHC service coverage index", + "World/Persian Gulf/IRQ/Health/UHC service coverage index", + "World/North Africa/ISR/Health/UHC service coverage index", + "World/Asia/KOR/Health/UHC service coverage index", + "World/South Africa/LBR/Health/UHC service coverage index", + "World/North Africa/MAR/Health/UHC service coverage index", + "World/Latam/MEX/Health/UHC service coverage index", + "World/South Africa/MOZ/Health/UHC service coverage index", + "World/South Africa/NGA/Health/UHC service coverage index", + "World/Europe/NLD/Health/UHC service coverage index", + "World/Persian Gulf/OMN/Health/UHC service coverage index", + "World/Latam/PAN/Health/UHC service coverage index", + "World/Latam/PER/Health/UHC service coverage index", + "World/Asia/PHL/Health/UHC service coverage index", + "World/Europe/POL/Health/UHC service coverage index", + "World/Persian Gulf/QAT/Health/UHC service coverage index", + "World/South Africa/SEN/Health/UHC service coverage index", + "World/Europe/SWE/Health/UHC service coverage index", + "World/Asia/THA/Health/UHC service coverage index", + "World/North Africa/TUR/Health/UHC service coverage index", + "World/Pair/USA/Health/UHC service coverage index", + "World/Latam/VEN/Health/UHC service coverage index", + "World/Asia/VNM/Health/UHC service coverage index", + "World/Persian Gulf/YEM/Health/UHC service coverage index", + "World/South Africa/ZAF/Health/UHC service coverage index", + "World/Persian Gulf/ARE/Demography/Urban population", + "World/Latam/ARG/Demography/Urban population", + "World/Persian Gulf/AZE/Demography/Urban population", + "World/Asia/BGD/Demography/Urban population", + "World/Latam/BRA/Demography/Urban population", + "World/Latam/CHL/Demography/Urban population", + "World/Pair/CHN/Demography/Urban population", + "World/South Africa/CMR/Demography/Urban population", + "World/Latam/COL/Demography/Urban population", + "World/Latam/CRI/Demography/Urban population", + "World/North Africa/DZA/Demography/Urban population", + "World/North Africa/EGY/Demography/Urban population", + "World/Europe/ESP/Demography/Urban population", + "World/Europe/FRA/Demography/Urban population", + "World/Europe/GBR/Demography/Urban population", + "World/South Africa/GHA/Demography/Urban population", + "World/Asia/IDN/Demography/Urban population", + "World/Asia/IND/Demography/Urban population", + "World/North Africa/ISR/Demography/Urban population", + "World/Asia/KOR/Demography/Urban population", + "World/South Africa/LBR/Demography/Urban population", + "World/North Africa/MAR/Demography/Urban population", + "World/Latam/MEX/Demography/Urban population", + "World/South Africa/MOZ/Demography/Urban population", + "World/South Africa/NGA/Demography/Urban population", + "World/Europe/NLD/Demography/Urban population", + "World/Persian Gulf/OMN/Demography/Urban population", + "World/Latam/PAN/Demography/Urban population", + "World/Latam/PER/Demography/Urban population", + "World/Asia/PHL/Demography/Urban population", + "World/Europe/POL/Demography/Urban population", + "World/Persian Gulf/QAT/Demography/Urban population", + "World/Persian Gulf/SAU/Demography/Urban population", + "World/South Africa/SEN/Demography/Urban population", + "World/Asia/THA/Demography/Urban population", + "World/North Africa/TUR/Demography/Urban population", + "World/Pair/USA/Demography/Urban population", + "World/Latam/VEN/Demography/Urban population", + "World/Asia/VNM/Demography/Urban population", + "World/Persian Gulf/YEM/Demography/Urban population", + "World/South Africa/ZAF/Demography/Urban population", + "World/Persian Gulf/ARE/Demography/Urban population (% of total population)", + "World/Latam/ARG/Demography/Urban population (% of total population)", + "World/Persian Gulf/AZE/Demography/Urban population (% of total population)", + "World/Asia/BGD/Demography/Urban population (% of total population)", + "World/Latam/BRA/Demography/Urban population (% of total population)", + "World/Latam/CHL/Demography/Urban population (% of total population)", + "World/Pair/CHN/Demography/Urban population (% of total population)", + "World/South Africa/CMR/Demography/Urban population (% of total population)", + "World/Latam/COL/Demography/Urban population (% of total population)", + "World/Latam/CRI/Demography/Urban population (% of total population)", + "World/Europe/DEU/Demography/Urban population (% of total population)", + "World/North Africa/DZA/Demography/Urban population (% of total population)", + "World/Europe/ESP/Demography/Urban population (% of total population)", + "World/Europe/FRA/Demography/Urban population (% of total population)", + "World/Europe/GBR/Demography/Urban population (% of total population)", + "World/South Africa/GHA/Demography/Urban population (% of total population)", + "World/Europe/GRC/Demography/Urban population (% of total population)", + "World/Europe/HRV/Demography/Urban population (% of total population)", + "World/Asia/IDN/Demography/Urban population (% of total population)", + "World/Asia/IND/Demography/Urban population (% of total population)", + "World/Persian Gulf/IRQ/Demography/Urban population (% of total population)", + "World/North Africa/ISR/Demography/Urban population (% of total population)", + "World/South Africa/LBR/Demography/Urban population (% of total population)", + "World/North Africa/MAR/Demography/Urban population (% of total population)", + "World/Latam/MEX/Demography/Urban population (% of total population)", + "World/South Africa/MOZ/Demography/Urban population (% of total population)", + "World/South Africa/NGA/Demography/Urban population (% of total population)", + "World/Europe/NLD/Demography/Urban population (% of total population)", + "World/Persian Gulf/OMN/Demography/Urban population (% of total population)", + "World/Latam/PAN/Demography/Urban population (% of total population)", + "World/Latam/PER/Demography/Urban population (% of total population)", + "World/Europe/POL/Demography/Urban population (% of total population)", + "World/Persian Gulf/QAT/Demography/Urban population (% of total population)", + "World/Persian Gulf/SAU/Demography/Urban population (% of total population)", + "World/South Africa/SEN/Demography/Urban population (% of total population)", + "World/Asia/THA/Demography/Urban population (% of total population)", + "World/North Africa/TUR/Demography/Urban population (% of total population)", + "World/Pair/USA/Demography/Urban population (% of total population)", + "World/Latam/VEN/Demography/Urban population (% of total population)", + "World/Asia/VNM/Demography/Urban population (% of total population)", + "World/Persian Gulf/YEM/Demography/Urban population (% of total population)", + "World/South Africa/ZAF/Demography/Urban population (% of total population)", + "World/Europe/AUT/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/AZE/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/BGD/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/CHL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Pair/CHN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/COL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/CRI/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/DEU/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/DZA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/EGY/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/GBR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/GHA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/HRV/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/IND/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/ISR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/KOR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/MAR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/MEX/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/MOZ/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/NGA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/NLD/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/PAN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/PER/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/PHL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/POL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/SAU/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/SWE/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/THA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/TUR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/VEN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/VNM/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/YEM/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/ZAF/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/ARE/A&D", + "World/Latam/ARG/A&D", + "World/Europe/AUT/A&D", + "World/Persian Gulf/AZE/A&D", + "World/Asia/BGD/A&D", + "World/Latam/BRA/A&D", + "World/Latam/CHL/A&D", + "World/Pair/CHN/A&D", + "World/Latam/CRI/A&D", + "World/North 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(% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth 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units)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + 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health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax 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government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general 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US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Employment in agriculture (% of total employment) (modeled ILO estimate)", + "Employment in agriculture (% of total employment) (modeled ILO estimate)", + "Employment in 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"Employment in agriculture (% of total employment) (modeled ILO estimate)", + "Employment in agriculture (% of total employment) (modeled ILO estimate)", + "Employment in agriculture (% of total employment) (modeled ILO estimate)", + "Employment in agriculture (% of total employment) (modeled ILO estimate)", + "Employment in agriculture (% of total employment) (modeled ILO estimate)", + "Employment in agriculture (% of total employment) (modeled ILO estimate)", + "Employment in agriculture (% of total employment) (modeled ILO estimate)", + "Employment in agriculture (% of total employment) (modeled ILO estimate)", + "Employment in agriculture (% of total employment) (modeled ILO estimate)", + "Employment in agriculture (% of total employment) (modeled ILO estimate)", + "Employment in agriculture (% of total employment) (modeled ILO estimate)", + "Employment in agriculture (% of total employment) (modeled ILO estimate)", + "Employment in agriculture (% of total employment) (modeled ILO 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subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband subscriptions (per 100 people)", + "Fixed broadband 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country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross national expenditure deflator (base year varies by country)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross savings (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "Gross value added at basic prices (GVA) (current US$)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "HFC gas emissions (thousand metric tons of CO2 equivalent)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Hospital beds (per 1,000 people)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "Households and NPISHs Final consumption expenditure (current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "ICT service exports (BoP, current US$)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import unit value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import value index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Import volume index (2000 = 100)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (BoP, current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Imports of goods and services (current US$)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Incidence of tuberculosis (per 100,000 people)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise imports (current US$)", + "Merchandise imports 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"Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from high-income economies (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (% change from 1990)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "Nitrous oxide emissions 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"Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 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adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 10-14 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among adolescents ages 15-19 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children 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dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among children ages 5-9 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 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20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Probability of dying among youth ages 20-24 years (per 1,000)", + "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "Proportion of population spending 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health care expenditure (%)", + "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "Proportion of population spending 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Africa/ISR/Industry", + "World/South Africa/LBR/Industry", + "World/North Africa/MAR/Industry", + "World/Latam/MEX/Industry", + "World/South Africa/MOZ/Industry", + "World/South Africa/NGA/Industry", + "World/Latam/PAN/Industry", + "World/Latam/PER/Industry", + "World/Asia/PHL/Industry", + "World/Europe/POL/Industry", + "World/Persian Gulf/SAU/Industry", + "World/South Africa/SEN/Industry", + "World/Asia/THA/Industry", + "World/North Africa/TUR/Industry", + "World/Pair/USA/Industry", + "World/Latam/VEN/Industry", + "World/Asia/VNM/Industry", + "World/Persian Gulf/YEM/Industry", + "World/South Africa/ZAF/Industry", + "World/Persian Gulf/ARE/Mortality", + "World/Asia/BGD/Mortality", + "World/Pair/CHN/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/DZA/Mortality", + "World/North Africa/EGY/Mortality", + "World/South Africa/GHA/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + 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Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/Europe/AUT/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Pair/CHN/Environment", + "World/Latam/CRI/Environment", + "World/Europe/DEU/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/FRA/Environment", + "World/Europe/GBR/Environment", + "World/Europe/GRC/Environment", + "World/Europe/HRV/Environment", + "World/Asia/IND/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/NGA/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Asia/PHL/Environment", + "World/Europe/POL/Environment", + "World/Persian Gulf/SAU/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/Pair/USA/Environment", + 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+ "World/North Africa/EGY/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/GRC/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/South Africa/NGA/Economy", + "World/Europe/NLD/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/South Africa/SEN/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South 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Gulf/YEM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Mortality", + "World/Latam/ARG/Mortality", + "World/Persian Gulf/AZE/Mortality", + "World/Asia/BGD/Mortality", + "World/Latam/CHL/Mortality", + "World/Pair/CHN/Mortality", + "World/South Africa/CMR/Mortality", + "World/Latam/COL/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/EGY/Mortality", + "World/Europe/ESP/Mortality", + "World/Europe/GBR/Mortality", + "World/South Africa/GHA/Mortality", + "World/Europe/GRC/Mortality", + "World/Europe/HRV/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/ISR/Mortality", + "World/Asia/KOR/Mortality", + "World/South Africa/LBR/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + "World/South Africa/MOZ/Mortality", + "World/South Africa/NGA/Mortality", + "World/Europe/NLD/Mortality", + "World/Latam/PAN/Mortality", + "World/Latam/PER/Mortality", + "World/Asia/PHL/Mortality", + "World/Europe/POL/Mortality", + "World/Persian Gulf/QAT/Mortality", + "World/Persian Gulf/SAU/Mortality", + "World/South Africa/SEN/Mortality", + "World/Asia/THA/Mortality", + "World/North Africa/TUR/Mortality", + "World/Pair/USA/Mortality", + "World/Asia/VNM/Mortality", + "World/Persian Gulf/YEM/Mortality", + "World/Persian Gulf/ARE/Health", + "World/Latam/ARG/Health", + "World/Persian Gulf/AZE/Health", + "World/Asia/BGD/Health", + "World/Latam/CHL/Health", + "World/Pair/CHN/Health", + "World/South Africa/CMR/Health", + "World/Latam/COL/Health", + "World/Latam/CRI/Health", + "World/North Africa/EGY/Health", + "World/Europe/ESP/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/GRC/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/Asia/IND/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/South Africa/LBR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/South Africa/NGA/Health", + "World/Europe/NLD/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Europe/POL/Health", + "World/Persian Gulf/QAT/Health", + "World/Persian Gulf/SAU/Health", + "World/South Africa/SEN/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Pair/USA/Health", + "World/Latam/VEN/Health", + "World/Asia/VNM/Health", + "World/Persian Gulf/YEM/Health", + "World/Persian Gulf/ARE/Industry", + "World/Latam/ARG/Industry", + "World/Europe/AUT/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Latam/BRA/Industry", + "World/Pair/CHN/Industry", + "World/Latam/COL/Industry", + "World/Latam/CRI/Industry", + "World/North Africa/DZA/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/GBR/Industry", + "World/South Africa/GHA/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", + "World/Asia/KOR/Industry", + "World/South Africa/LBR/Industry", + "World/North Africa/MAR/Industry", + "World/Latam/MEX/Industry", + "World/South Africa/MOZ/Industry", + "World/South Africa/NGA/Industry", + "World/Europe/NLD/Industry", + "World/Persian Gulf/OMN/Industry", + "World/Latam/PAN/Industry", + "World/Latam/PER/Industry", + "World/Asia/PHL/Industry", + "World/Europe/POL/Industry", + "World/Persian Gulf/QAT/Industry", + "World/Persian Gulf/SAU/Industry", + "World/South Africa/SEN/Industry", + "World/Asia/THA/Industry", + "World/North Africa/TUR/Industry", + "World/Pair/USA/Industry", + "World/Latam/VEN/Industry", + "World/Asia/VNM/Industry", + "World/Persian Gulf/YEM/Industry", + "World/South Africa/ZAF/Industry", + "World/Persian Gulf/ARE/Health", + "World/Asia/BGD/Health", + "World/Latam/BRA/Health", + "World/Latam/CHL/Health", + "World/Pair/CHN/Health", + "World/South Africa/CMR/Health", + "World/Latam/COL/Health", + "World/Latam/CRI/Health", + "World/North Africa/DZA/Health", + "World/Europe/ESP/Health", + "World/Europe/FRA/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/Europe/NLD/Health", + "World/Persian Gulf/OMN/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Persian Gulf/QAT/Health", + "World/South Africa/SEN/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Asia/VNM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/Latam/MEX/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Asia/THA/Economy", + "World/Pair/USA/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Persian Gulf/ARE/Mortality", + "World/Latam/ARG/Mortality", + "World/Persian Gulf/AZE/Mortality", + "World/Asia/BGD/Mortality", + "World/Latam/CHL/Mortality", + "World/Pair/CHN/Mortality", + "World/South Africa/CMR/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/DZA/Mortality", + "World/North Africa/EGY/Mortality", + "World/Europe/ESP/Mortality", + "World/Europe/GBR/Mortality", + "World/South Africa/GHA/Mortality", + "World/Europe/HRV/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/ISR/Mortality", + "World/Asia/KOR/Mortality", + "World/South Africa/LBR/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + "World/South Africa/MOZ/Mortality", + "World/South Africa/NGA/Mortality", + "World/Europe/NLD/Mortality", + "World/Latam/PAN/Mortality", + "World/Latam/PER/Mortality", + "World/Asia/PHL/Mortality", + "World/Europe/POL/Mortality", + "World/Persian Gulf/QAT/Mortality", + "World/Persian Gulf/SAU/Mortality", + "World/South Africa/SEN/Mortality", + "World/Asia/THA/Mortality", + "World/North Africa/TUR/Mortality", + "World/Pair/USA/Mortality", + "World/Asia/VNM/Mortality", + "World/Persian Gulf/YEM/Mortality", + "World/Persian Gulf/ARE/Exports", + "World/Europe/AUT/Exports", + "World/Persian Gulf/AZE/Exports", + "World/Asia/BGD/Exports", + "World/Latam/BRA/Exports", + "World/Latam/CHL/Exports", + "World/Pair/CHN/Exports", + "World/Latam/COL/Exports", + "World/Latam/CRI/Exports", + "World/Europe/DEU/Exports", + "World/North Africa/EGY/Exports", + "World/Europe/ESP/Exports", + 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"World/Latam/BRA/Exports", + "World/Latam/CHL/Exports", + "World/Pair/CHN/Exports", + "World/Latam/COL/Exports", + "World/Latam/CRI/Exports", + "World/Europe/DEU/Exports", + "World/North Africa/DZA/Exports", + "World/North Africa/EGY/Exports", + "World/Europe/ESP/Exports", + "World/Europe/FRA/Exports", + "World/Europe/GBR/Exports", + "World/South Africa/GHA/Exports", + "World/Asia/IDN/Exports", + "World/Asia/IND/Exports", + "World/Persian Gulf/IRQ/Exports", + "World/Asia/KOR/Exports", + "World/North Africa/MAR/Exports", + "World/Latam/MEX/Exports", + "World/South Africa/MOZ/Exports", + "World/South Africa/NGA/Exports", + "World/Europe/NLD/Exports", + "World/Persian Gulf/OMN/Exports", + "World/Latam/PER/Exports", + "World/Asia/PHL/Exports", + "World/Europe/POL/Exports", + "World/Persian Gulf/QAT/Exports", + "World/South Africa/SEN/Exports", + "World/Europe/SWE/Exports", + "World/Asia/THA/Exports", + "World/North Africa/TUR/Exports", + "World/Pair/USA/Exports", + "World/Latam/VEN/Exports", + "World/Asia/VNM/Exports", + "World/South Africa/ZAF/Exports", + "World/Persian Gulf/ARE/Exports", + "World/Persian Gulf/AZE/Exports", + "World/Asia/BGD/Exports", + "World/Latam/CHL/Exports", + "World/Pair/CHN/Exports", + "World/Latam/COL/Exports", + "World/Europe/DEU/Exports", + "World/Europe/ESP/Exports", + "World/Europe/GBR/Exports", + "World/Europe/GRC/Exports", + "World/Asia/IDN/Exports", + "World/Persian Gulf/IRQ/Exports", + "World/North Africa/ISR/Exports", + "World/Asia/KOR/Exports", + "World/South Africa/LBR/Exports", + "World/Latam/MEX/Exports", + "World/South Africa/MOZ/Exports", + "World/South Africa/NGA/Exports", + "World/Europe/NLD/Exports", + "World/Latam/PAN/Exports", + "World/Latam/PER/Exports", + "World/Asia/PHL/Exports", + "World/Europe/POL/Exports", + "World/Persian Gulf/QAT/Exports", + "World/Europe/SWE/Exports", + "World/Asia/THA/Exports", + "World/Pair/USA/Exports", + "World/Latam/VEN/Exports", + "World/South Africa/ZAF/Exports", + 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+ "World/Europe/DEU/Environment", + "World/North Africa/DZA/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/GBR/Environment", + "World/South Africa/GHA/Environment", + "World/Europe/GRC/Environment", + "World/Asia/IDN/Environment", + "World/Asia/IND/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/South Africa/LBR/Environment", + "World/North Africa/MAR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/MOZ/Environment", + "World/South Africa/NGA/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Latam/PER/Environment", + "World/Asia/PHL/Environment", + "World/Persian Gulf/QAT/Environment", + "World/Persian Gulf/SAU/Environment", + "World/South Africa/SEN/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/North Africa/TUR/Environment", + "World/Asia/VNM/Environment", + "World/South Africa/ZAF/Environment", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/BRA/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/Latam/CRI/Economy", + "World/North Africa/DZA/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/BRA/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/Latam/CRI/Economy", + "World/North Africa/DZA/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Latam/ARG/Health", + "World/Europe/AUT/Health", + "World/Persian Gulf/AZE/Health", + "World/Asia/BGD/Health", + "World/Latam/BRA/Health", + "World/Latam/CHL/Health", + "World/Pair/CHN/Health", + "World/South Africa/CMR/Health", + "World/Latam/COL/Health", + "World/Latam/CRI/Health", + "World/Europe/DEU/Health", + "World/North Africa/DZA/Health", + "World/North Africa/EGY/Health", + "World/Europe/ESP/Health", + "World/Europe/FRA/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/GRC/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/Asia/IND/Health", + "World/Persian Gulf/IRQ/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/South Africa/LBR/Health", + "World/North Africa/MAR/Health", + 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Africa/EGY/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/North Africa/ISR/Demography", + "World/Asia/KOR/Demography", + "World/South Africa/LBR/Demography", + "World/North Africa/MAR/Demography", + "World/Latam/MEX/Demography", + "World/South Africa/MOZ/Demography", + "World/South Africa/NGA/Demography", + "World/Europe/NLD/Demography", + "World/Persian Gulf/OMN/Demography", + "World/Latam/PAN/Demography", + "World/Latam/PER/Demography", + "World/Asia/PHL/Demography", + "World/Europe/POL/Demography", + "World/Persian Gulf/QAT/Demography", + "World/Persian Gulf/SAU/Demography", + "World/South Africa/SEN/Demography", + "World/Asia/THA/Demography", + "World/North Africa/TUR/Demography", + "World/Pair/USA/Demography", + "World/Latam/VEN/Demography", + "World/Asia/VNM/Demography", + "World/Persian Gulf/YEM/Demography", + "World/South Africa/ZAF/Demography", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/Europe/DEU/Demography", + "World/North Africa/DZA/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Europe/GRC/Demography", + "World/Europe/HRV/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/Persian Gulf/IRQ/Demography", + "World/North Africa/ISR/Demography", + "World/South Africa/LBR/Demography", + "World/North Africa/MAR/Demography", + "World/Latam/MEX/Demography", + "World/South Africa/MOZ/Demography", + "World/South Africa/NGA/Demography", + "World/Europe/NLD/Demography", + "World/Persian Gulf/OMN/Demography", + "World/Latam/PAN/Demography", + "World/Latam/PER/Demography", + "World/Europe/POL/Demography", + "World/Persian Gulf/QAT/Demography", + "World/Persian Gulf/SAU/Demography", + "World/South Africa/SEN/Demography", + "World/Asia/THA/Demography", + "World/North Africa/TUR/Demography", + "World/Pair/USA/Demography", + "World/Latam/VEN/Demography", + "World/Asia/VNM/Demography", + "World/Persian Gulf/YEM/Demography", + "World/South Africa/ZAF/Demography", + "World/Europe/AUT/Equality", + "World/Persian Gulf/AZE/Equality", + "World/Asia/BGD/Equality", + "World/Latam/CHL/Equality", + "World/Pair/CHN/Equality", + "World/Latam/COL/Equality", + "World/Latam/CRI/Equality", + "World/Europe/DEU/Equality", + "World/North Africa/DZA/Equality", + "World/North Africa/EGY/Equality", + "World/Europe/GBR/Equality", + "World/South Africa/GHA/Equality", + "World/Europe/HRV/Equality", + "World/Asia/IND/Equality", + "World/North Africa/ISR/Equality", + "World/Asia/KOR/Equality", + "World/North Africa/MAR/Equality", + "World/Latam/MEX/Equality", + "World/South Africa/MOZ/Equality", + "World/South Africa/NGA/Equality", + "World/Europe/NLD/Equality", + "World/Latam/PAN/Equality", + "World/Latam/PER/Equality", + "World/Asia/PHL/Equality", + "World/Europe/POL/Equality", + "World/Persian Gulf/SAU/Equality", + "World/Europe/SWE/Equality", + "World/Asia/THA/Equality", + "World/North Africa/TUR/Equality", + "World/Latam/VEN/Equality", + "World/Asia/VNM/Equality", + "World/Persian Gulf/YEM/Equality", + "World/South Africa/ZAF/Equality", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/Latam/CRI", + "World/North Africa/EGY", + "World/Europe/GBR", + "World/South Africa/GHA", + "World/Europe/HRV", + "World/Asia/IND", + "World/North Africa/ISR", + "World/Asia/KOR", + 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Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Persian Gulf/SAU", + "World/South Africa/SEN", + "World/Europe/SWE", + "World/Asia/THA", + "World/North Africa/TUR", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/South Africa/ZAF", + "World/Latam/ARG", + "World/Asia/BGD", + "World/Latam/BRA", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/South Africa/GHA", + "World/Asia/IND", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/North Africa/TUR", + 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population)", + "World/Pair/CHN/Environment/Access to electricity (% of population)", + "World/South Africa/CMR/Environment/Access to electricity (% of population)", + "World/Latam/COL/Environment/Access to electricity (% of population)", + "World/Latam/CRI/Environment/Access to electricity (% of population)", + "World/North Africa/EGY/Environment/Access to electricity (% of population)", + "World/South Africa/GHA/Environment/Access to electricity (% of population)", + "World/Asia/IDN/Environment/Access to electricity (% of population)", + "World/Asia/IND/Environment/Access to electricity (% of population)", + "World/Persian Gulf/IRQ/Environment/Access to electricity (% of population)", + "World/South Africa/LBR/Environment/Access to electricity (% of population)", + "World/North Africa/MAR/Environment/Access to electricity (% of population)", + "World/Latam/MEX/Environment/Access to electricity (% of population)", + "World/South Africa/MOZ/Environment/Access to electricity (% of population)", + "World/South Africa/NGA/Environment/Access to electricity (% of population)", + "World/Latam/PAN/Environment/Access to electricity (% of population)", + "World/Latam/PER/Environment/Access to electricity (% of population)", + "World/Asia/PHL/Environment/Access to electricity (% of population)", + "World/South Africa/SEN/Environment/Access to electricity (% of population)", + "World/Asia/THA/Environment/Access to electricity (% of population)", + "World/Asia/VNM/Environment/Access to electricity (% of population)", + "World/Persian Gulf/YEM/Environment/Access to electricity (% of population)", + "World/South Africa/ZAF/Environment/Access to electricity (% of population)", + "World/Persian Gulf/ARE/Economy/Adjusted net national income (current US$)", + "World/Latam/ARG/Economy/Adjusted net national income (current US$)", + "World/Europe/AUT/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted net national income (current US$)", + "World/Asia/BGD/Economy/Adjusted net national income (current US$)", + "World/Latam/BRA/Economy/Adjusted net national income (current US$)", + "World/Latam/CHL/Economy/Adjusted net national income (current US$)", + "World/Pair/CHN/Economy/Adjusted net national income (current US$)", + "World/South Africa/CMR/Economy/Adjusted net national income (current US$)", + "World/Latam/COL/Economy/Adjusted net national income (current US$)", + "World/Latam/CRI/Economy/Adjusted net national income (current US$)", + "World/Europe/DEU/Economy/Adjusted net national income (current US$)", + "World/North Africa/DZA/Economy/Adjusted net national income (current US$)", + "World/North Africa/EGY/Economy/Adjusted net national income (current US$)", + "World/Europe/ESP/Economy/Adjusted net national income (current US$)", + "World/Europe/FRA/Economy/Adjusted net national income (current US$)", + "World/Europe/GBR/Economy/Adjusted net national income (current US$)", + "World/South Africa/GHA/Economy/Adjusted net national income (current US$)", + "World/Europe/HRV/Economy/Adjusted net national income (current US$)", + "World/Asia/IDN/Economy/Adjusted net national income (current US$)", + "World/Asia/IND/Economy/Adjusted net national income (current US$)", + "World/North Africa/ISR/Economy/Adjusted net national income (current US$)", + "World/Asia/KOR/Economy/Adjusted net national income (current US$)", + "World/South Africa/LBR/Economy/Adjusted net national income (current US$)", + "World/North Africa/MAR/Economy/Adjusted net national income (current US$)", + "World/Latam/MEX/Economy/Adjusted net national income (current US$)", + "World/South Africa/MOZ/Economy/Adjusted net national income (current US$)", + "World/South Africa/NGA/Economy/Adjusted net national income (current US$)", + "World/Europe/NLD/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted net national income (current US$)", + "World/Latam/PAN/Economy/Adjusted net national income (current US$)", + "World/Latam/PER/Economy/Adjusted net national income (current US$)", + "World/Asia/PHL/Economy/Adjusted net national income (current US$)", + "World/Europe/POL/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted net national income (current US$)", + "World/South Africa/SEN/Economy/Adjusted net national income (current US$)", + "World/Europe/SWE/Economy/Adjusted net national income (current US$)", + "World/Asia/THA/Economy/Adjusted net national income (current US$)", + "World/North Africa/TUR/Economy/Adjusted net national income (current US$)", + "World/Pair/USA/Economy/Adjusted net national income (current US$)", + "World/Latam/VEN/Economy/Adjusted net national income (current US$)", + "World/Asia/VNM/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted net national income (current US$)", + "World/South Africa/ZAF/Economy/Adjusted net national income (current US$)", + "World/Latam/ARG/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/AUT/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/BGD/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/BRA/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/CHL/Economy/Adjusted net national income per capita (current US$)", + "World/Pair/CHN/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/CMR/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/COL/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/CRI/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/DEU/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/DZA/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/EGY/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/ESP/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/FRA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/GBR/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/GHA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/HRV/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/IDN/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/IND/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/IRQ/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/ISR/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/KOR/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/MAR/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/MEX/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/MOZ/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/NGA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/NLD/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/PAN/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/PER/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/PHL/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/POL/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/SEN/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/SWE/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/THA/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/TUR/Economy/Adjusted net national income per capita (current US$)", + "World/Pair/USA/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/VEN/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/VNM/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/ZAF/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/COL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/IND/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/PER/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/POL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/THA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Pair/USA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/COL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/ESP/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/HRV/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/IND/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/PER/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/POL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/SWE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/THA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Pair/USA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/COL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/ESP/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/HRV/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/IND/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/PER/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/POL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/SWE/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/THA/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Pair/USA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: net national savings (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/IND/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: net national savings (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/PER/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/POL/Economy/Adjusted savings: net national savings (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: net national savings (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/THA/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: net national savings (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/COL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/IND/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/THA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/ARE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/ARG/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/AUT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/AZE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/BGD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/BRA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/CHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Pair/CHN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/CMR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/COL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/CRI/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/DEU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/EGY/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/GBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/GHA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/GRC/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/HRV/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/IND/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/ISR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/KOR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/LBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/MAR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/MEX/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/MOZ/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/NGA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/NLD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/OMN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/PAN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/PER/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/PHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/POL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/QAT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/SAU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/SEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/SWE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/TUR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Pair/USA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/VEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/VNM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/YEM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/AUT/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Agricultural land (% of land area)", + "World/Asia/BGD/Agriculture/Agricultural land (% of land area)", + "World/Latam/BRA/Agriculture/Agricultural land (% of land area)", + "World/Pair/CHN/Agriculture/Agricultural land (% of land area)", + "World/South Africa/CMR/Agriculture/Agricultural land (% of land area)", + "World/Latam/CRI/Agriculture/Agricultural land (% of land area)", + "World/Europe/DEU/Agriculture/Agricultural land (% of land area)", + "World/North Africa/DZA/Agriculture/Agricultural land (% of land area)", + "World/North Africa/EGY/Agriculture/Agricultural land (% of land area)", + "World/Europe/ESP/Agriculture/Agricultural land (% of land area)", + "World/Europe/FRA/Agriculture/Agricultural land (% of land area)", + "World/Europe/GRC/Agriculture/Agricultural land (% of land area)", + "World/Asia/IDN/Agriculture/Agricultural land (% of land area)", + "World/Asia/IND/Agriculture/Agricultural land (% of land area)", + "World/North Africa/ISR/Agriculture/Agricultural land (% of land area)", + "World/Asia/KOR/Agriculture/Agricultural land (% of land area)", + "World/South Africa/LBR/Agriculture/Agricultural land (% of land area)", + "World/South Africa/MOZ/Agriculture/Agricultural land (% of land area)", + "World/South Africa/NGA/Agriculture/Agricultural land (% of land area)", + "World/Europe/NLD/Agriculture/Agricultural land (% of land area)", + "World/Latam/PAN/Agriculture/Agricultural land (% of land area)", + "World/Asia/PHL/Agriculture/Agricultural land (% of land area)", + "World/Europe/POL/Agriculture/Agricultural land (% of land area)", + "World/Europe/SWE/Agriculture/Agricultural land (% of land area)", + "World/North Africa/TUR/Agriculture/Agricultural land (% of land area)", + "World/Pair/USA/Agriculture/Agricultural land (% of land area)", + "World/Latam/VEN/Agriculture/Agricultural land (% of land area)", + "World/Asia/VNM/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/ARE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/AUT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/HRV/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/MEX/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/SAU/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/TUR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/BRA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/NLD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/USA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/AUT/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/BRA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/CHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/COL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/DZA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/EGY/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/GRC/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/HRV/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/IDN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/KOR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/MAR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/MEX/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/PHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/POL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/THA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/TUR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Pair/USA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/VEN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/VNM/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/BGD/Agriculture/Aquaculture production (metric tons)", + "World/Latam/BRA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/CHL/Agriculture/Aquaculture production (metric tons)", + "World/Pair/CHN/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/CMR/Agriculture/Aquaculture production (metric tons)", + "World/Latam/COL/Agriculture/Aquaculture production (metric tons)", + "World/Latam/CRI/Agriculture/Aquaculture production (metric tons)", + "World/North Africa/EGY/Agriculture/Aquaculture production (metric tons)", + "World/Europe/FRA/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/GHA/Agriculture/Aquaculture production (metric tons)", + "World/Asia/IDN/Agriculture/Aquaculture production (metric tons)", + "World/Asia/IND/Agriculture/Aquaculture production (metric tons)", + "World/Asia/KOR/Agriculture/Aquaculture production (metric tons)", + "World/Latam/MEX/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/NGA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/PER/Agriculture/Aquaculture production (metric tons)", + "World/Asia/PHL/Agriculture/Aquaculture production (metric tons)", + "World/Europe/POL/Agriculture/Aquaculture production (metric tons)", + "World/Persian Gulf/SAU/Agriculture/Aquaculture production (metric tons)", + "World/North Africa/TUR/Agriculture/Aquaculture production (metric tons)", + "World/Pair/USA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/VEN/Agriculture/Aquaculture production (metric tons)", + "World/Asia/VNM/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/ZAF/Agriculture/Aquaculture production (metric tons)", + "World/Europe/AUT/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Arable land (% of land area)", + "World/Asia/BGD/Agriculture/Arable land (% of land area)", + "World/Latam/BRA/Agriculture/Arable land (% of land area)", + "World/Latam/CHL/Agriculture/Arable land (% of land area)", + "World/Pair/CHN/Agriculture/Arable land (% of land area)", + "World/South Africa/CMR/Agriculture/Arable land (% of land area)", + "World/Latam/COL/Agriculture/Arable land (% of land area)", + "World/Latam/CRI/Agriculture/Arable land (% of land area)", + "World/South Africa/GHA/Agriculture/Arable land (% of land area)", + "World/Europe/GRC/Agriculture/Arable land (% of land area)", + "World/Asia/IDN/Agriculture/Arable land (% of land area)", + "World/Asia/IND/Agriculture/Arable land (% of land area)", + "World/Asia/KOR/Agriculture/Arable land (% of land area)", + "World/South Africa/LBR/Agriculture/Arable land (% of land area)", + "World/North Africa/MAR/Agriculture/Arable land (% of land area)", + "World/South Africa/MOZ/Agriculture/Arable land (% of land area)", + "World/Latam/PAN/Agriculture/Arable land (% of land area)", + "World/Europe/POL/Agriculture/Arable land (% of land area)", + "World/Europe/SWE/Agriculture/Arable land (% of land area)", + "World/North Africa/TUR/Agriculture/Arable land (% of land area)", + "World/Pair/USA/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/ARE/Agriculture/Arable land (hectares per person)", + "World/Latam/ARG/Agriculture/Arable land (hectares per person)", + "World/Europe/AUT/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/AZE/Agriculture/Arable land (hectares per person)", + "World/Asia/BGD/Agriculture/Arable land (hectares per person)", + "World/Latam/CHL/Agriculture/Arable land (hectares per person)", + "World/Pair/CHN/Agriculture/Arable land (hectares per person)", + "World/South Africa/CMR/Agriculture/Arable land (hectares per person)", + "World/Latam/COL/Agriculture/Arable land (hectares per person)", + "World/North Africa/DZA/Agriculture/Arable land (hectares per person)", + "World/North Africa/EGY/Agriculture/Arable land (hectares per person)", + "World/Europe/ESP/Agriculture/Arable land (hectares per person)", + "World/Europe/FRA/Agriculture/Arable land (hectares per person)", + "World/South Africa/GHA/Agriculture/Arable land (hectares per person)", + "World/Europe/GRC/Agriculture/Arable land (hectares per person)", + "World/Asia/IND/Agriculture/Arable land (hectares per person)", + "World/Asia/KOR/Agriculture/Arable land (hectares per person)", + "World/South Africa/LBR/Agriculture/Arable land (hectares per person)", + "World/North Africa/MAR/Agriculture/Arable land (hectares per person)", + "World/Latam/MEX/Agriculture/Arable land (hectares per person)", + "World/South Africa/MOZ/Agriculture/Arable land (hectares per person)", + "World/South Africa/NGA/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/OMN/Agriculture/Arable land (hectares per person)", + "World/Latam/PAN/Agriculture/Arable land (hectares per person)", + "World/Latam/PER/Agriculture/Arable land (hectares per person)", + "World/Asia/PHL/Agriculture/Arable land (hectares per person)", + "World/Europe/POL/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/QAT/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/SAU/Agriculture/Arable land (hectares per person)", + "World/Europe/SWE/Agriculture/Arable land (hectares per person)", + "World/North Africa/TUR/Agriculture/Arable land (hectares per person)", + "World/Pair/USA/Agriculture/Arable land (hectares per person)", + "World/Latam/VEN/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/YEM/Agriculture/Arable land (hectares per person)", + "World/South Africa/ZAF/Agriculture/Arable land (hectares per person)", + "World/Europe/AUT/Agriculture/Arable land (hectares)", + "World/Persian Gulf/AZE/Agriculture/Arable land (hectares)", + "World/Asia/BGD/Agriculture/Arable land (hectares)", + "World/Latam/BRA/Agriculture/Arable land (hectares)", + "World/Latam/CHL/Agriculture/Arable land (hectares)", + "World/Pair/CHN/Agriculture/Arable land (hectares)", + "World/South Africa/CMR/Agriculture/Arable land (hectares)", + "World/Latam/COL/Agriculture/Arable land (hectares)", + "World/Latam/CRI/Agriculture/Arable land (hectares)", + "World/South Africa/GHA/Agriculture/Arable land (hectares)", + "World/Europe/GRC/Agriculture/Arable land (hectares)", + "World/Asia/IDN/Agriculture/Arable land (hectares)", + "World/Asia/IND/Agriculture/Arable land (hectares)", + "World/Asia/KOR/Agriculture/Arable land (hectares)", + "World/South Africa/LBR/Agriculture/Arable land (hectares)", + "World/North Africa/MAR/Agriculture/Arable land (hectares)", + "World/South Africa/MOZ/Agriculture/Arable land (hectares)", + "World/Latam/PAN/Agriculture/Arable land (hectares)", + "World/Europe/POL/Agriculture/Arable land (hectares)", + "World/Europe/SWE/Agriculture/Arable land (hectares)", + "World/North Africa/TUR/Agriculture/Arable land (hectares)", + "World/Pair/USA/Agriculture/Arable land (hectares)", + "World/Persian Gulf/YEM/Agriculture/Arable land (hectares)", + "World/Persian Gulf/ARE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/ARG/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/AZE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/BGD/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Pair/CHN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/CMR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/COL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/CRI/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/DEU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/DZA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/EGY/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/FRA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/GHA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/HRV/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/IDN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/IND/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/ISR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/LBR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/MAR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/MEX/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/MOZ/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/NGA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/PAN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/PER/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/PHL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/POL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/SAU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/SEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/THA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/TUR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Pair/USA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/VEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/VNM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/YEM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/ZAF/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/ARE/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/BGD/Mortality/Births attended by skilled health staff (% of total)", + "World/Pair/CHN/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/CRI/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/DZA/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/EGY/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/GHA/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/IDN/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/IND/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/MAR/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/MEX/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/MOZ/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/PER/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/PHL/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/SAU/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/TUR/Mortality/Births attended by skilled health staff (% of total)", + "World/Pair/USA/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/VNM/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/YEM/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/ZAF/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/ARE/Economy/Broad money (% of GDP)", + "World/Latam/ARG/Economy/Broad money (% of GDP)", + "World/Persian Gulf/AZE/Economy/Broad money (% of GDP)", + "World/Asia/BGD/Economy/Broad money (% of GDP)", + "World/Latam/BRA/Economy/Broad money (% of GDP)", + "World/Pair/CHN/Economy/Broad money (% of GDP)", + "World/South Africa/CMR/Economy/Broad money (% of GDP)", + "World/North Africa/DZA/Economy/Broad money (% of GDP)", + "World/Europe/GBR/Economy/Broad money (% of GDP)", + "World/Europe/HRV/Economy/Broad money (% of GDP)", + "World/Asia/IND/Economy/Broad money (% of GDP)", + "World/North Africa/ISR/Economy/Broad money (% of GDP)", + "World/Asia/KOR/Economy/Broad money (% of GDP)", + "World/North Africa/MAR/Economy/Broad money (% of GDP)", + "World/Latam/MEX/Economy/Broad money (% of GDP)", + "World/South Africa/MOZ/Economy/Broad money (% of GDP)", + "World/Latam/PER/Economy/Broad money (% of GDP)", + "World/Asia/PHL/Economy/Broad money (% of GDP)", + "World/Europe/POL/Economy/Broad money (% of GDP)", + "World/Persian Gulf/QAT/Economy/Broad money (% of GDP)", + "World/South Africa/SEN/Economy/Broad money (% of GDP)", + "World/North Africa/TUR/Economy/Broad money (% of GDP)", + "World/Pair/USA/Economy/Broad money (% of GDP)", + "World/Latam/VEN/Economy/Broad money (% of GDP)", + "World/Asia/VNM/Economy/Broad money (% of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/PHL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/VNM/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/PHL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/VNM/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/ARG/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/BRA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/CHL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/COL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/ESP/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/IDN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/MAR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/PER/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/TUR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/South Africa/ZAF/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/ARE/Environment/CO2 emissions (kt)", + "World/Latam/ARG/Environment/CO2 emissions (kt)", + "World/Asia/BGD/Environment/CO2 emissions (kt)", + "World/Latam/BRA/Environment/CO2 emissions (kt)", + "World/Latam/CHL/Environment/CO2 emissions (kt)", + "World/Pair/CHN/Environment/CO2 emissions (kt)", + "World/Latam/COL/Environment/CO2 emissions (kt)", + "World/Latam/CRI/Environment/CO2 emissions (kt)", + "World/Europe/DEU/Environment/CO2 emissions (kt)", + "World/North Africa/DZA/Environment/CO2 emissions (kt)", + "World/North Africa/EGY/Environment/CO2 emissions (kt)", + "World/Europe/GBR/Environment/CO2 emissions (kt)", + "World/South Africa/GHA/Environment/CO2 emissions (kt)", + "World/Asia/IDN/Environment/CO2 emissions (kt)", + "World/Asia/IND/Environment/CO2 emissions (kt)", + "World/Asia/KOR/Environment/CO2 emissions (kt)", + "World/South Africa/LBR/Environment/CO2 emissions (kt)", + "World/North Africa/MAR/Environment/CO2 emissions (kt)", + "World/Latam/MEX/Environment/CO2 emissions (kt)", + "World/South Africa/MOZ/Environment/CO2 emissions (kt)", + "World/South Africa/NGA/Environment/CO2 emissions (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kt)", + "World/Latam/PAN/Environment/CO2 emissions (kt)", + "World/Latam/PER/Environment/CO2 emissions (kt)", + "World/Asia/PHL/Environment/CO2 emissions (kt)", + "World/Persian Gulf/QAT/Environment/CO2 emissions (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kt)", + "World/South Africa/SEN/Environment/CO2 emissions (kt)", + "World/Europe/SWE/Environment/CO2 emissions (kt)", + "World/Asia/THA/Environment/CO2 emissions (kt)", + "World/North Africa/TUR/Environment/CO2 emissions (kt)", + "World/Asia/VNM/Environment/CO2 emissions (kt)", + "World/South Africa/ZAF/Environment/CO2 emissions (kt)", + "World/Asia/BGD/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/BRA/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/CHL/Environment/CO2 emissions (metric tons per capita)", + "World/Pair/CHN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/CRI/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/DEU/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/DZA/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/EGY/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/GBR/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/GHA/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/GRC/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/IDN/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/IND/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/ISR/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/KOR/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/MAR/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/MOZ/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/NLD/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/PAN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/PER/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/PHL/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/SEN/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/SWE/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/THA/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/TUR/Environment/CO2 emissions (metric tons per capita)", + "World/Pair/USA/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/VNM/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/ARG/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/AZE/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/BGD/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/BRA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Pair/CHN/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/COL/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/DZA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/EGY/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/ESP/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/IND/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/ISR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/KOR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/MAR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/MEX/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/South Africa/NGA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/NLD/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/PER/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/POL/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/QAT/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/THA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/TUR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Pair/USA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/VNM/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/BGD/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/BRA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/CHL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Pair/CHN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/CMR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/CRI/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/DZA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/EGY/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/GBR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/GHA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/IDN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/IND/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/MAR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/MOZ/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/NLD/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/PAN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/PER/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/PHL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/POL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/THA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/VNM/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Europe/AUT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/BGD/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/BRA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/CHL/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Pair/CHN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/CMR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/IDN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/IND/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/KOR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/North Africa/MAR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/MEX/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/NGA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/QAT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/SEN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/VNM/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/ARE/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/AZE/Industry/Capture fisheries production (metric tons)", + "World/Asia/BGD/Industry/Capture fisheries production (metric tons)", + "World/Latam/CHL/Industry/Capture fisheries production (metric tons)", + "World/South Africa/CMR/Industry/Capture fisheries production (metric tons)", + "World/Latam/CRI/Industry/Capture fisheries production (metric tons)", + "World/Europe/GRC/Industry/Capture fisheries production (metric tons)", + "World/Europe/HRV/Industry/Capture fisheries production (metric tons)", + "World/Asia/IDN/Industry/Capture fisheries production (metric tons)", + "World/Asia/IND/Industry/Capture fisheries production (metric tons)", + "World/North Africa/ISR/Industry/Capture fisheries production (metric tons)", + "World/North Africa/MAR/Industry/Capture fisheries production (metric tons)", + "World/South Africa/MOZ/Industry/Capture fisheries production (metric tons)", + "World/South Africa/NGA/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/OMN/Industry/Capture fisheries production (metric tons)", + "World/Asia/PHL/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/SAU/Industry/Capture fisheries production (metric tons)", + "World/Asia/THA/Industry/Capture fisheries production (metric tons)", + "World/Asia/VNM/Industry/Capture fisheries production (metric tons)", + "World/Asia/BGD/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/BRA/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/CHL/Agriculture/Cereal yield (kg per hectare)", + "World/Pair/CHN/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/COL/Agriculture/Cereal yield (kg per hectare)", + "World/South Africa/GHA/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/IDN/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/IND/Agriculture/Cereal yield (kg per hectare)", + "World/North Africa/ISR/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/MEX/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/PAN/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/PER/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/PHL/Agriculture/Cereal yield (kg per hectare)", + "World/Persian Gulf/QAT/Agriculture/Cereal yield (kg per hectare)", + "World/Persian Gulf/SAU/Agriculture/Cereal yield (kg per hectare)", + "World/North Africa/TUR/Agriculture/Cereal yield (kg per hectare)", + "World/Pair/USA/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/VNM/Agriculture/Cereal yield (kg per hectare)", + "World/Europe/AUT/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/AZE/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/BGD/Environment/Combustible renewables and waste (% of total energy)", + "World/Pair/CHN/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/COL/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/DEU/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/DZA/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/GBR/Environment/Combustible renewables and waste (% of total energy)", + "World/South Africa/GHA/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/IDN/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/IND/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/KOR/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/MAR/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/MEX/Environment/Combustible renewables and waste (% of total energy)", + "World/South Africa/MOZ/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/NLD/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/PAN/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/PER/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/PHL/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/POL/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/SAU/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/SWE/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/TUR/Environment/Combustible renewables and waste (% of total energy)", + "World/Pair/USA/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/VNM/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/ARE/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/BGD/Economy/Commercial bank branches (per 100,000 adults)", + "World/Pair/CHN/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/CMR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Latam/CRI/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/DEU/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/DZA/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/EGY/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/FRA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/GBR/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/GHA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/IDN/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/IND/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/ISR/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/MAR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Latam/MEX/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/MOZ/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/NLD/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/OMN/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/POL/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/QAT/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/SEN/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/TUR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Pair/USA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/YEM/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/ZAF/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/AUT/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/AZE/Exports/Commercial service exports (current US$)", + "World/Asia/BGD/Exports/Commercial service exports (current US$)", + "World/Latam/BRA/Exports/Commercial service exports (current US$)", + "World/Latam/CHL/Exports/Commercial service exports (current US$)", + "World/Pair/CHN/Exports/Commercial service exports (current US$)", + "World/South Africa/CMR/Exports/Commercial service exports (current US$)", + "World/Latam/COL/Exports/Commercial service exports (current US$)", + "World/Latam/CRI/Exports/Commercial service exports (current US$)", + "World/Europe/DEU/Exports/Commercial service exports (current US$)", + "World/North Africa/DZA/Exports/Commercial service exports (current US$)", + "World/Europe/ESP/Exports/Commercial service exports (current US$)", + "World/Europe/FRA/Exports/Commercial service exports (current US$)", + "World/Europe/GBR/Exports/Commercial service exports (current US$)", + "World/South Africa/GHA/Exports/Commercial service exports (current US$)", + "World/Europe/GRC/Exports/Commercial service exports (current US$)", + "World/Europe/HRV/Exports/Commercial service exports (current US$)", + "World/Asia/IDN/Exports/Commercial service exports (current US$)", + "World/Asia/IND/Exports/Commercial service exports (current US$)", + "World/North Africa/ISR/Exports/Commercial service exports (current US$)", + "World/Asia/KOR/Exports/Commercial service exports (current US$)", + "World/North Africa/MAR/Exports/Commercial service exports (current US$)", + "World/Europe/NLD/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/OMN/Exports/Commercial service exports (current US$)", + "World/Latam/PAN/Exports/Commercial service exports (current US$)", + "World/Latam/PER/Exports/Commercial service exports (current US$)", + "World/Asia/PHL/Exports/Commercial service exports (current US$)", + "World/Europe/POL/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/QAT/Exports/Commercial service exports (current US$)", + "World/South Africa/SEN/Exports/Commercial service exports (current US$)", + "World/Europe/SWE/Exports/Commercial service exports (current US$)", + "World/Asia/THA/Exports/Commercial service exports (current US$)", + "World/North Africa/TUR/Exports/Commercial service exports (current US$)", + "World/Pair/USA/Exports/Commercial service exports (current US$)", + "World/Asia/VNM/Exports/Commercial service exports (current US$)", + "World/South Africa/ZAF/Exports/Commercial service exports (current US$)", + "World/Latam/ARG/Imports/Commercial service imports (current US$)", + "World/Europe/AUT/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/AZE/Imports/Commercial service imports (current US$)", + "World/Asia/BGD/Imports/Commercial service imports (current US$)", + "World/Latam/BRA/Imports/Commercial service imports (current US$)", + "World/Latam/CHL/Imports/Commercial service imports (current US$)", + "World/Pair/CHN/Imports/Commercial service imports (current US$)", + "World/South Africa/CMR/Imports/Commercial service imports (current US$)", + "World/Latam/COL/Imports/Commercial service imports (current US$)", + "World/Latam/CRI/Imports/Commercial service imports (current US$)", + "World/Europe/DEU/Imports/Commercial service imports (current US$)", + "World/North Africa/DZA/Imports/Commercial service imports (current US$)", + "World/North Africa/EGY/Imports/Commercial service imports (current US$)", + "World/Europe/ESP/Imports/Commercial service imports (current US$)", + "World/Europe/FRA/Imports/Commercial service imports (current US$)", + "World/Europe/GBR/Imports/Commercial service imports (current US$)", + "World/South Africa/GHA/Imports/Commercial service imports (current US$)", + "World/Europe/HRV/Imports/Commercial service imports (current US$)", + "World/Asia/IDN/Imports/Commercial service imports (current US$)", + "World/Asia/IND/Imports/Commercial service imports (current US$)", + "World/North Africa/ISR/Imports/Commercial service imports (current US$)", + "World/Asia/KOR/Imports/Commercial service imports (current US$)", + "World/North Africa/MAR/Imports/Commercial service imports (current US$)", + "World/Latam/MEX/Imports/Commercial service imports (current US$)", + "World/South Africa/MOZ/Imports/Commercial service imports (current US$)", + "World/South Africa/NGA/Imports/Commercial service imports (current US$)", + "World/Europe/NLD/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/OMN/Imports/Commercial service imports (current US$)", + "World/Latam/PAN/Imports/Commercial service imports (current US$)", + "World/Latam/PER/Imports/Commercial service imports (current US$)", + "World/Asia/PHL/Imports/Commercial service imports (current US$)", + "World/Europe/POL/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/QAT/Imports/Commercial service imports (current US$)", + "World/South Africa/SEN/Imports/Commercial service imports (current US$)", + "World/Europe/SWE/Imports/Commercial service imports (current US$)", + "World/Asia/THA/Imports/Commercial service imports (current US$)", + "World/North Africa/TUR/Imports/Commercial service imports (current US$)", + "World/Pair/USA/Imports/Commercial service imports (current US$)", + "World/Asia/VNM/Imports/Commercial service imports (current US$)", + "World/South Africa/ZAF/Imports/Commercial service imports (current US$)", + "World/Latam/ARG/Demoraphy/Completeness of birth registration (%)", + "World/Asia/BGD/Demoraphy/Completeness of birth registration (%)", + "World/Latam/BRA/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/CMR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/COL/Demoraphy/Completeness of birth registration (%)", + "World/Latam/CRI/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/DZA/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/EGY/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/GHA/Demoraphy/Completeness of birth registration (%)", + "World/Asia/IND/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/LBR/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/MAR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/MEX/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/MOZ/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/NGA/Demoraphy/Completeness of birth registration (%)", + "World/Latam/PAN/Demoraphy/Completeness of birth registration (%)", + "World/Latam/PER/Demoraphy/Completeness of birth registration (%)", + "World/Asia/PHL/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/TUR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/VEN/Demoraphy/Completeness of birth registration (%)", + "World/Asia/VNM/Demoraphy/Completeness of birth registration (%)", + "World/Persian Gulf/ARE/Economy/Consumer price index (2010 = 100)", + "World/Europe/AUT/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/AZE/Economy/Consumer price index (2010 = 100)", + "World/Asia/BGD/Economy/Consumer price index (2010 = 100)", + "World/Latam/BRA/Economy/Consumer price index (2010 = 100)", + "World/Latam/CHL/Economy/Consumer price index (2010 = 100)", + "World/Pair/CHN/Economy/Consumer price index (2010 = 100)", + "World/South Africa/CMR/Economy/Consumer price index (2010 = 100)", + "World/Latam/COL/Economy/Consumer price index (2010 = 100)", + "World/Latam/CRI/Economy/Consumer price index (2010 = 100)", + "World/Europe/DEU/Economy/Consumer price index (2010 = 100)", + "World/North Africa/DZA/Economy/Consumer price index (2010 = 100)", + "World/North Africa/EGY/Economy/Consumer price index (2010 = 100)", + "World/Europe/ESP/Economy/Consumer price index (2010 = 100)", + "World/Europe/FRA/Economy/Consumer price index (2010 = 100)", + "World/Europe/GBR/Economy/Consumer price index (2010 = 100)", + "World/South Africa/GHA/Economy/Consumer price index (2010 = 100)", + "World/Europe/GRC/Economy/Consumer price index (2010 = 100)", + "World/Asia/IDN/Economy/Consumer price index (2010 = 100)", + "World/Asia/IND/Economy/Consumer price index (2010 = 100)", + "World/North Africa/ISR/Economy/Consumer price index (2010 = 100)", + "World/Asia/KOR/Economy/Consumer price index (2010 = 100)", + "World/South Africa/LBR/Economy/Consumer price index (2010 = 100)", + "World/North Africa/MAR/Economy/Consumer price index (2010 = 100)", + "World/Latam/MEX/Economy/Consumer price index (2010 = 100)", + "World/South Africa/MOZ/Economy/Consumer price index (2010 = 100)", + "World/South Africa/NGA/Economy/Consumer price index (2010 = 100)", + "World/Europe/NLD/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/OMN/Economy/Consumer price index (2010 = 100)", + "World/Latam/PAN/Economy/Consumer price index (2010 = 100)", + "World/Latam/PER/Economy/Consumer price index (2010 = 100)", + "World/Asia/PHL/Economy/Consumer price index (2010 = 100)", + "World/Europe/POL/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/QAT/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/SAU/Economy/Consumer price index (2010 = 100)", + "World/South Africa/SEN/Economy/Consumer price index (2010 = 100)", + "World/Europe/SWE/Economy/Consumer price index (2010 = 100)", + "World/Asia/THA/Economy/Consumer price index (2010 = 100)", + "World/North Africa/TUR/Economy/Consumer price index (2010 = 100)", + "World/Pair/USA/Economy/Consumer price index (2010 = 100)", + "World/Latam/VEN/Economy/Consumer price index (2010 = 100)", + "World/Asia/VNM/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/YEM/Economy/Consumer price index (2010 = 100)", + "World/South Africa/ZAF/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/ARE/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/BGD/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/CHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Pair/CHN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/CMR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/COL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/CRI/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/DEU/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/ESP/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/FRA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/GBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/GHA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/IDN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/IND/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/ISR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/KOR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/LBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/MAR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/MEX/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/MOZ/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/NLD/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/OMN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/PAN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/PER/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/PHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/POL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/QAT/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/SAU/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/SWE/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/THA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/TUR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Pair/USA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/VNM/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/ZAF/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/AZE/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/BGD/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/BRA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/CHL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Pair/CHN/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/CMR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/COL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/CRI/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/DZA/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/EGY/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/GHA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/IDN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/IND/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/MAR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/MEX/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/MOZ/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/NGA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/PER/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/PHL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/SEN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/THA/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/TUR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Pair/USA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/VNM/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/ARG/Health/Current health expenditure (% of GDP)", + "World/Europe/AUT/Health/Current health expenditure (% of GDP)", + "World/Latam/CHL/Health/Current health expenditure (% of GDP)", + "World/Pair/CHN/Health/Current health expenditure (% of GDP)", + "World/South Africa/CMR/Health/Current health expenditure (% of GDP)", + "World/Latam/COL/Health/Current health expenditure (% of GDP)", + "World/Latam/CRI/Health/Current health expenditure (% of GDP)", + "World/Europe/ESP/Health/Current health expenditure (% of GDP)", + "World/Europe/FRA/Health/Current health expenditure (% of GDP)", + "World/Europe/GBR/Health/Current health expenditure (% of GDP)", + "World/Europe/GRC/Health/Current health expenditure (% of GDP)", + "World/Asia/IDN/Health/Current health expenditure (% of GDP)", + "World/Asia/IND/Health/Current health expenditure (% of GDP)", + "World/Asia/KOR/Health/Current health expenditure (% of GDP)", + "World/South Africa/MOZ/Health/Current health expenditure (% of GDP)", + "World/Europe/NLD/Health/Current health expenditure (% of GDP)", + "World/Latam/PER/Health/Current health expenditure (% of GDP)", + "World/Europe/POL/Health/Current health expenditure (% of GDP)", + "World/Europe/SWE/Health/Current health expenditure (% of GDP)", + "World/Asia/THA/Health/Current health expenditure (% of GDP)", + "World/Pair/USA/Health/Current health expenditure (% of GDP)", + "World/Asia/VNM/Health/Current health expenditure (% of GDP)", + "World/Persian Gulf/YEM/Health/Current health expenditure (% of GDP)", + "World/Persian Gulf/ARE/Health/Current health expenditure per capita (current US$)", + "World/Latam/ARG/Health/Current health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Current health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Current health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Current health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Current health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Current health expenditure per capita (current US$)", + "World/South Africa/CMR/Health/Current health expenditure per capita (current US$)", + "World/Latam/COL/Health/Current health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Current health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Current health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Current health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Current health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Current health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Current health expenditure per capita (current US$)", + "World/South Africa/GHA/Health/Current health expenditure per capita (current US$)", + "World/Europe/GRC/Health/Current health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Current health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Current health expenditure per capita (current US$)", + "World/Asia/IND/Health/Current health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Current health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Current health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Current health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Current health expenditure per capita (current US$)", + "World/Latam/MEX/Health/Current health expenditure per capita (current US$)", + "World/South Africa/MOZ/Health/Current health expenditure per capita (current US$)", + "World/South Africa/NGA/Health/Current health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/OMN/Health/Current health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Current health expenditure per capita (current US$)", + "World/Latam/PER/Health/Current health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Current health expenditure per capita (current US$)", + "World/Europe/POL/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Current health expenditure per capita (current US$)", + "World/South Africa/SEN/Health/Current health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Current health expenditure per capita (current US$)", + "World/Asia/THA/Health/Current health expenditure per capita (current US$)", + "World/Pair/USA/Health/Current health expenditure per capita (current US$)", + "World/Latam/VEN/Health/Current health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Health/Current health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/BGD/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/CHL/Economy/Customs and other import duties (% of tax revenue)", + "World/Pair/CHN/Economy/Customs and other import duties (% of tax revenue)", + "World/South Africa/CMR/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/COL/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/CRI/Economy/Customs and other import duties (% of tax revenue)", + "World/North Africa/EGY/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/ESP/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/HRV/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/IND/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/KOR/Economy/Customs and other import duties (% of tax revenue)", + "World/North Africa/MAR/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/MEX/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/PAN/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/PER/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/POL/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/THA/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/BGD/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/CHL/Economy/Domestic credit to private sector (% of GDP)", + "World/Pair/CHN/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/CMR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/COL/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/CRI/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/DEU/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/DZA/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/EGY/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/FRA/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/GRC/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/HRV/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/IND/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/KOR/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/LBR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/MEX/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/OMN/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/PER/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/POL/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/QAT/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/SAU/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/SEN/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/SWE/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/TUR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/VEN/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/VNM/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/ARE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/AZE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/BGD/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/CHL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Pair/CHN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/CMR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/COL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/CRI/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/DEU/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/DZA/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/EGY/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/GRC/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/HRV/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/IND/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/KOR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/LBR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/MAR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/MEX/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/OMN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/PAN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/PER/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/POL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/QAT/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/SAU/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/SEN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/SWE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/TUR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/VEN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/VNM/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/ARG/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/COL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/GRC/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/IND/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/MEX/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/MOZ/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/OMN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/PER/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/POL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/THA/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/TUR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Pair/USA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/ARG/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Domestic private health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/CMR/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/COL/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/EGY/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/GHA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/IND/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/NGA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/PER/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/POL/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/SEN/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/THA/Health/Domestic private health expenditure per capita (current US$)", + "World/Pair/USA/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/AUT/Environment/Electric power consumption (kWh per capita)", + "World/Asia/BGD/Environment/Electric power consumption (kWh per capita)", + "World/Latam/BRA/Environment/Electric power consumption (kWh per capita)", + "World/Latam/CHL/Environment/Electric power consumption (kWh per capita)", + "World/Pair/CHN/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/CMR/Environment/Electric power consumption (kWh per capita)", + "World/Latam/COL/Environment/Electric power consumption (kWh per capita)", + "World/Latam/CRI/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/DZA/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/EGY/Environment/Electric power consumption (kWh per capita)", + "World/Europe/GBR/Environment/Electric power consumption (kWh per capita)", + "World/Europe/GRC/Environment/Electric power consumption (kWh per capita)", + "World/Europe/HRV/Environment/Electric power consumption (kWh per capita)", + "World/Asia/IDN/Environment/Electric power consumption (kWh per capita)", + "World/Asia/IND/Environment/Electric power consumption (kWh per capita)", + "World/Asia/KOR/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/MAR/Environment/Electric power consumption (kWh per capita)", + "World/Latam/MEX/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/MOZ/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/NGA/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/OMN/Environment/Electric power consumption (kWh per capita)", + "World/Latam/PAN/Environment/Electric power consumption (kWh per capita)", + "World/Latam/PER/Environment/Electric power consumption (kWh per capita)", + "World/Asia/PHL/Environment/Electric power consumption (kWh per capita)", + "World/Europe/POL/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/SAU/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/SEN/Environment/Electric power consumption (kWh per capita)", + "World/Europe/SWE/Environment/Electric power consumption (kWh per capita)", + "World/Asia/THA/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/TUR/Environment/Electric power consumption (kWh per capita)", + "World/Asia/VNM/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/YEM/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/ARE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/CHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/COL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/GHA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/LBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/MEX/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/NGA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/PAN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/PER/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/PHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/QAT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/TUR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/GRC/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/HRV/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/SAU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Pair/USA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/ARE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/CHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/COL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/GHA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/GRC/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/HRV/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/LBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/MEX/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/NGA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/PAN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/PER/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/PHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/THA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/TUR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Pair/USA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/BGD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Pair/CHN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/CMR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/CRI/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/DEU/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/DZA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/GBR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/GHA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/IDN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/IND/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/ISR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/KOR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/MEX/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/MOZ/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/NGA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/NLD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Persian Gulf/OMN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/PAN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/PER/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/PHL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/POL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/SWE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/THA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/TUR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Pair/USA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/VEN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/BGD/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/BRA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/CHL/Environment/Energy use (kg of oil equivalent per capita)", + "World/Pair/CHN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/CRI/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/GBR/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/IDN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/IND/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/KOR/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/MAR/Environment/Energy use (kg of oil equivalent per capita)", + "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent per capita)", + "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/NLD/Environment/Energy use (kg of oil equivalent per capita)", + "World/Persian Gulf/OMN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/PAN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/PER/Environment/Energy use (kg of oil equivalent per capita)", + "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/THA/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent per capita)", + "World/Pair/USA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/VNM/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/AUT/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/AZE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/BGD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Pair/CHN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/CMR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/COL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/CRI/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/DEU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/ESP/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/FRA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/GBR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/GHA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/HRV/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/IDN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/IND/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/ISR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/KOR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/MEX/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/NLD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/PAN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/PHL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/POL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/SWE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Pair/USA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/ZAF/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/ARE/Exports/Export unit value index (2000 = 100)", + "World/Europe/AUT/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export unit value index (2000 = 100)", + "World/Asia/BGD/Exports/Export unit value index (2000 = 100)", + "World/Latam/BRA/Exports/Export unit value index (2000 = 100)", + "World/Latam/CRI/Exports/Export unit value index (2000 = 100)", + "World/Europe/DEU/Exports/Export unit value index (2000 = 100)", + "World/North Africa/DZA/Exports/Export unit value index (2000 = 100)", + "World/Europe/ESP/Exports/Export unit value index (2000 = 100)", + "World/Europe/FRA/Exports/Export unit value index (2000 = 100)", + "World/South Africa/GHA/Exports/Export unit value index (2000 = 100)", + "World/Europe/GRC/Exports/Export unit value index (2000 = 100)", + "World/Europe/HRV/Exports/Export unit value index (2000 = 100)", + "World/Latam/MEX/Exports/Export unit value index (2000 = 100)", + "World/Europe/NLD/Exports/Export unit value index (2000 = 100)", + "World/Latam/PAN/Exports/Export unit value index (2000 = 100)", + "World/Europe/POL/Exports/Export unit value index (2000 = 100)", + "World/Europe/SWE/Exports/Export unit value index (2000 = 100)", + "World/Asia/THA/Exports/Export unit value index (2000 = 100)", + "World/Asia/VNM/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/YEM/Exports/Export unit value index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/ARE/Exports/Export value index (2000 = 100)", + "World/Europe/AUT/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export value index (2000 = 100)", + "World/Asia/BGD/Exports/Export value index (2000 = 100)", + "World/Latam/BRA/Exports/Export value index (2000 = 100)", + "World/Latam/CHL/Exports/Export value index (2000 = 100)", + "World/Pair/CHN/Exports/Export value index (2000 = 100)", + "World/Latam/COL/Exports/Export value index (2000 = 100)", + "World/Latam/CRI/Exports/Export value index (2000 = 100)", + "World/Europe/DEU/Exports/Export value index (2000 = 100)", + "World/North Africa/DZA/Exports/Export value index (2000 = 100)", + "World/Europe/ESP/Exports/Export value index (2000 = 100)", + "World/Europe/FRA/Exports/Export value index (2000 = 100)", + "World/Europe/GBR/Exports/Export value index (2000 = 100)", + "World/South Africa/GHA/Exports/Export value index (2000 = 100)", + "World/Asia/IDN/Exports/Export value index (2000 = 100)", + "World/Asia/IND/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/IRQ/Exports/Export value index (2000 = 100)", + "World/Asia/KOR/Exports/Export value index (2000 = 100)", + "World/North Africa/MAR/Exports/Export value index (2000 = 100)", + "World/Latam/MEX/Exports/Export value index (2000 = 100)", + "World/South Africa/MOZ/Exports/Export value index (2000 = 100)", + "World/Europe/NLD/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/OMN/Exports/Export value index (2000 = 100)", + "World/Latam/PAN/Exports/Export value index (2000 = 100)", + "World/Latam/PER/Exports/Export value index (2000 = 100)", + "World/Asia/PHL/Exports/Export value index (2000 = 100)", + "World/Europe/POL/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/QAT/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/SAU/Exports/Export value index (2000 = 100)", + "World/South Africa/SEN/Exports/Export value index (2000 = 100)", + "World/Europe/SWE/Exports/Export value index (2000 = 100)", + "World/Asia/THA/Exports/Export value index (2000 = 100)", + "World/North Africa/TUR/Exports/Export value index (2000 = 100)", + "World/Pair/USA/Exports/Export value index (2000 = 100)", + "World/Latam/VEN/Exports/Export value index (2000 = 100)", + "World/Asia/VNM/Exports/Export value index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/ARE/Exports/Export volume index (2000 = 100)", + "World/Europe/AUT/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export volume index (2000 = 100)", + "World/Asia/BGD/Exports/Export volume index (2000 = 100)", + "World/Latam/BRA/Exports/Export volume index (2000 = 100)", + "World/Latam/CHL/Exports/Export volume index (2000 = 100)", + "World/Pair/CHN/Exports/Export volume index (2000 = 100)", + "World/Latam/COL/Exports/Export volume index (2000 = 100)", + "World/Latam/CRI/Exports/Export volume index (2000 = 100)", + "World/Europe/ESP/Exports/Export volume index (2000 = 100)", + "World/South Africa/GHA/Exports/Export volume index (2000 = 100)", + "World/Europe/GRC/Exports/Export volume index (2000 = 100)", + "World/Asia/IDN/Exports/Export volume index (2000 = 100)", + "World/Asia/IND/Exports/Export volume index (2000 = 100)", + "World/North Africa/ISR/Exports/Export volume index (2000 = 100)", + "World/Asia/KOR/Exports/Export volume index (2000 = 100)", + "World/North Africa/MAR/Exports/Export volume index (2000 = 100)", + "World/Latam/MEX/Exports/Export volume index (2000 = 100)", + "World/South Africa/MOZ/Exports/Export volume index (2000 = 100)", + "World/Europe/NLD/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/OMN/Exports/Export volume index (2000 = 100)", + "World/Latam/PAN/Exports/Export volume index (2000 = 100)", + "World/Latam/PER/Exports/Export volume index (2000 = 100)", + "World/Asia/PHL/Exports/Export volume index (2000 = 100)", + "World/Europe/POL/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/QAT/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/SAU/Exports/Export volume index (2000 = 100)", + "World/Asia/THA/Exports/Export volume index (2000 = 100)", + "World/North Africa/TUR/Exports/Export volume index (2000 = 100)", + "World/Pair/USA/Exports/Export volume index (2000 = 100)", + "World/Latam/VEN/Exports/Export volume index (2000 = 100)", + "World/Asia/VNM/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/YEM/Exports/Export volume index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export volume index (2000 = 100)", + "World/Europe/AUT/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/AZE/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/BGD/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/BRA/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/CHL/Exports/Exports of goods and services (BoP, current US$)", + "World/Pair/CHN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/COL/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/CRI/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/DEU/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/ESP/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/FRA/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/GBR/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/GHA/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/HRV/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/IDN/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/IND/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/IRQ/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/ISR/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/KOR/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/MAR/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/MEX/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/MOZ/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/NLD/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/PAN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/PER/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/PHL/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/POL/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/SEN/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/SWE/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/THA/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/TUR/Exports/Exports of goods and services (BoP, current US$)", + "World/Pair/USA/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/VEN/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/VNM/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/ZAF/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/ARE/Exports/Exports of goods and services (current US$)", + "World/Europe/AUT/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/AZE/Exports/Exports of goods and services (current US$)", + "World/Asia/BGD/Exports/Exports of goods and services (current US$)", + "World/Latam/BRA/Exports/Exports of goods and services (current US$)", + "World/Latam/CHL/Exports/Exports of goods and services (current US$)", + "World/Pair/CHN/Exports/Exports of goods and services (current US$)", + "World/Latam/COL/Exports/Exports of goods and services (current US$)", + "World/Latam/CRI/Exports/Exports of goods and services (current US$)", + "World/Europe/DEU/Exports/Exports of goods and services (current US$)", + "World/North Africa/DZA/Exports/Exports of goods and services (current US$)", + "World/Europe/ESP/Exports/Exports of goods and services (current US$)", + "World/Europe/FRA/Exports/Exports of goods and services (current US$)", + "World/Europe/GBR/Exports/Exports of goods and services (current US$)", + "World/South Africa/GHA/Exports/Exports of goods and services (current US$)", + "World/Europe/HRV/Exports/Exports of goods and services (current US$)", + "World/Asia/IDN/Exports/Exports of goods and services (current US$)", + "World/Asia/IND/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/IRQ/Exports/Exports of goods and services (current US$)", + "World/North Africa/ISR/Exports/Exports of goods and services (current US$)", + "World/Asia/KOR/Exports/Exports of goods and services (current US$)", + "World/North Africa/MAR/Exports/Exports of goods and services (current US$)", + "World/Latam/MEX/Exports/Exports of goods and services (current US$)", + "World/South Africa/MOZ/Exports/Exports of goods and services (current US$)", + "World/Europe/NLD/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/OMN/Exports/Exports of goods and services (current US$)", + "World/Latam/PAN/Exports/Exports of goods and services (current US$)", + "World/Latam/PER/Exports/Exports of goods and services (current US$)", + "World/Asia/PHL/Exports/Exports of goods and services (current US$)", + "World/Europe/POL/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/QAT/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/SAU/Exports/Exports of goods and services (current US$)", + "World/South Africa/SEN/Exports/Exports of goods and services (current US$)", + "World/Europe/SWE/Exports/Exports of goods and services (current US$)", + "World/Asia/THA/Exports/Exports of goods and services (current US$)", + "World/North Africa/TUR/Exports/Exports of goods and services (current US$)", + "World/Pair/USA/Exports/Exports of goods and services (current US$)", + "World/Latam/VEN/Exports/Exports of goods and services (current US$)", + "World/Asia/VNM/Exports/Exports of goods and services (current US$)", + "World/South Africa/ZAF/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/ARE/Economy/Final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/Final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Final consumption expenditure (current US$)", + "World/Asia/BGD/Economy/Final consumption expenditure (current US$)", + "World/Latam/BRA/Economy/Final consumption expenditure (current US$)", + "World/Latam/CHL/Economy/Final consumption expenditure (current US$)", + "World/Pair/CHN/Economy/Final consumption expenditure (current US$)", + "World/South Africa/CMR/Economy/Final consumption expenditure (current US$)", + "World/Latam/COL/Economy/Final consumption expenditure (current US$)", + "World/Latam/CRI/Economy/Final consumption expenditure (current US$)", + "World/Europe/DEU/Economy/Final consumption expenditure (current US$)", + "World/North Africa/DZA/Economy/Final consumption expenditure (current US$)", + "World/North Africa/EGY/Economy/Final consumption expenditure (current US$)", + "World/Europe/ESP/Economy/Final consumption expenditure (current US$)", + "World/Europe/FRA/Economy/Final consumption expenditure (current US$)", + "World/Europe/GBR/Economy/Final consumption expenditure (current US$)", + "World/South Africa/GHA/Economy/Final consumption expenditure (current US$)", + "World/Europe/GRC/Economy/Final consumption expenditure (current US$)", + "World/Europe/HRV/Economy/Final consumption expenditure (current US$)", + "World/Asia/IDN/Economy/Final consumption expenditure (current US$)", + "World/Asia/IND/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/Final consumption expenditure (current US$)", + "World/North Africa/ISR/Economy/Final consumption expenditure (current US$)", + "World/Asia/KOR/Economy/Final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/Final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/Final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/Final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/Final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/Final consumption expenditure (current US$)", + "World/Latam/PER/Economy/Final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/Final consumption expenditure (current US$)", + "World/Europe/POL/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/Final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/Final consumption expenditure (current US$)", + "World/Asia/THA/Economy/Final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/Final consumption expenditure (current US$)", + "World/Pair/USA/Economy/Final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/Final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/Final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/Final consumption expenditure (current US$)", + "World/Latam/ARG/R&D/Firms offering formal training (% of firms)", + "World/Latam/CHL/R&D/Firms offering formal training (% of firms)", + "World/Latam/COL/R&D/Firms offering formal training (% of firms)", + "World/Latam/CRI/R&D/Firms offering formal training (% of firms)", + "World/North Africa/EGY/R&D/Firms offering formal training (% of firms)", + "World/South Africa/GHA/R&D/Firms offering formal training (% of firms)", + "World/Europe/GRC/R&D/Firms offering formal training (% of firms)", + "World/Europe/HRV/R&D/Firms offering formal training (% of firms)", + "World/Asia/IDN/R&D/Firms offering formal training (% of firms)", + "World/Asia/IND/R&D/Firms offering formal training (% of firms)", + "World/South Africa/LBR/R&D/Firms offering formal training (% of firms)", + "World/North Africa/MAR/R&D/Firms offering formal training (% of firms)", + "World/Latam/MEX/R&D/Firms offering formal training (% of firms)", + "World/South Africa/MOZ/R&D/Firms offering formal training (% of firms)", + "World/South Africa/NGA/R&D/Firms offering formal training (% of firms)", + "World/Latam/PAN/R&D/Firms offering formal training (% of firms)", + "World/Latam/PER/R&D/Firms offering formal training (% of firms)", + "World/Asia/PHL/R&D/Firms offering formal training (% of firms)", + "World/Europe/POL/R&D/Firms offering formal training (% of firms)", + "World/South Africa/SEN/R&D/Firms offering formal training (% of firms)", + "World/Asia/THA/R&D/Firms offering formal training (% of firms)", + "World/North Africa/TUR/R&D/Firms offering formal training (% of firms)", + "World/Latam/VEN/R&D/Firms offering formal training (% of firms)", + "World/Asia/VNM/R&D/Firms offering formal training (% of firms)", + "World/Persian Gulf/YEM/R&D/Firms offering formal training (% of firms)", + "World/South Africa/ZAF/R&D/Firms offering formal training (% of firms)", + "World/Latam/ARG/Economy/Firms using banks to finance investment (% of firms)", + "World/Persian Gulf/AZE/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/BGD/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/CHL/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/CMR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/COL/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/CRI/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/EGY/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/GHA/Economy/Firms using banks to finance investment (% of firms)", + "World/Europe/GRC/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/IDN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/IND/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/LBR/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/MAR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/MEX/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/MOZ/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/NGA/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/PAN/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/PER/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/PHL/Economy/Firms using banks to finance investment (% of firms)", + "World/Europe/POL/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/SEN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/THA/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/TUR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/VEN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/VNM/Economy/Firms using banks to finance investment (% of firms)", + "World/Persian Gulf/YEM/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/ZAF/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/ARG/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/AZE/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/BGD/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/CHL/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/CMR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/COL/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/CRI/Economy/Firms using banks to finance working capital (% of firms)", + "World/North Africa/EGY/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/GHA/Economy/Firms using banks to finance working capital (% of firms)", + "World/Europe/GRC/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/IDN/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/LBR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/MEX/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/MOZ/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/NGA/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/PAN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/PER/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/PHL/Economy/Firms using banks to finance working capital (% of firms)", + "World/Europe/POL/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/SEN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/THA/Economy/Firms using banks to finance working capital (% of firms)", + "World/North Africa/TUR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/VEN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/VNM/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/YEM/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/ZAF/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions", + "World/Latam/ARG/Internet/Fixed broadband subscriptions", + "World/Europe/AUT/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions", + "World/Asia/BGD/Internet/Fixed broadband subscriptions", + "World/Latam/BRA/Internet/Fixed broadband subscriptions", + "World/Latam/CHL/Internet/Fixed broadband subscriptions", + "World/Pair/CHN/Internet/Fixed broadband subscriptions", + "World/South Africa/CMR/Internet/Fixed broadband subscriptions", + "World/Latam/COL/Internet/Fixed broadband subscriptions", + "World/Latam/CRI/Internet/Fixed broadband subscriptions", + "World/Europe/DEU/Internet/Fixed broadband subscriptions", + "World/North Africa/DZA/Internet/Fixed broadband subscriptions", + "World/North Africa/EGY/Internet/Fixed broadband subscriptions", + "World/Europe/ESP/Internet/Fixed broadband subscriptions", + "World/Europe/FRA/Internet/Fixed broadband subscriptions", + "World/Europe/GBR/Internet/Fixed broadband subscriptions", + "World/South Africa/GHA/Internet/Fixed broadband subscriptions", + "World/Europe/GRC/Internet/Fixed broadband subscriptions", + "World/Europe/HRV/Internet/Fixed broadband subscriptions", + "World/Asia/IDN/Internet/Fixed broadband subscriptions", + "World/Asia/IND/Internet/Fixed broadband subscriptions", + "World/North Africa/ISR/Internet/Fixed broadband subscriptions", + "World/Asia/KOR/Internet/Fixed broadband subscriptions", + "World/South Africa/LBR/Internet/Fixed broadband subscriptions", + "World/North Africa/MAR/Internet/Fixed broadband subscriptions", + "World/Latam/MEX/Internet/Fixed broadband subscriptions", + "World/South Africa/MOZ/Internet/Fixed broadband subscriptions", + "World/Europe/NLD/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions", + "World/Latam/PAN/Internet/Fixed broadband subscriptions", + "World/Latam/PER/Internet/Fixed broadband subscriptions", + "World/Asia/PHL/Internet/Fixed broadband subscriptions", + "World/Europe/POL/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions", + "World/South Africa/SEN/Internet/Fixed broadband subscriptions", + "World/Europe/SWE/Internet/Fixed broadband subscriptions", + "World/Asia/THA/Internet/Fixed broadband subscriptions", + "World/North Africa/TUR/Internet/Fixed broadband subscriptions", + "World/Pair/USA/Internet/Fixed broadband subscriptions", + "World/Latam/VEN/Internet/Fixed broadband subscriptions", + "World/Asia/VNM/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions", + "World/South Africa/ZAF/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/ARG/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/AUT/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/BGD/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/BRA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/CHL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Pair/CHN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/CMR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/COL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/CRI/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/DEU/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/DZA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/EGY/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/ESP/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/FRA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/GBR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/GHA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/GRC/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/HRV/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/IDN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/IND/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/ISR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/KOR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/LBR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/MAR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/MEX/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/MOZ/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/NLD/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/PAN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/PER/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/PHL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/POL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/SEN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/SWE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/THA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/TUR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Pair/USA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/VEN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/VNM/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/ZAF/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/ARE/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/AZE/Industry/Food production index (2014-2016 = 100)", + "World/Asia/BGD/Industry/Food production index (2014-2016 = 100)", + "World/Latam/BRA/Industry/Food production index (2014-2016 = 100)", + "World/Latam/CHL/Industry/Food production index (2014-2016 = 100)", + "World/Pair/CHN/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/CMR/Industry/Food production index (2014-2016 = 100)", + "World/Latam/COL/Industry/Food production index (2014-2016 = 100)", + "World/Latam/CRI/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/DZA/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/EGY/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/GHA/Industry/Food production index (2014-2016 = 100)", + "World/Asia/IDN/Industry/Food production index (2014-2016 = 100)", + "World/Asia/IND/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/ISR/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/LBR/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/MAR/Industry/Food production index (2014-2016 = 100)", + "World/Latam/MEX/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/MOZ/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/NGA/Industry/Food production index (2014-2016 = 100)", + "World/Europe/NLD/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Industry/Food production index (2014-2016 = 100)", + "World/Latam/PAN/Industry/Food production index (2014-2016 = 100)", + "World/Latam/PER/Industry/Food production index (2014-2016 = 100)", + "World/Asia/PHL/Industry/Food production index (2014-2016 = 100)", + "World/Europe/POL/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/SAU/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/SEN/Industry/Food production index (2014-2016 = 100)", + "World/Asia/THA/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/TUR/Industry/Food production index (2014-2016 = 100)", + "World/Pair/USA/Industry/Food production index (2014-2016 = 100)", + "World/Asia/VNM/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/ZAF/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/ARE/Demography/Forest area (% of land area)", + "World/Latam/ARG/Demography/Forest area (% of land area)", + "World/Europe/AUT/Demography/Forest area (% of land area)", + "World/Persian Gulf/AZE/Demography/Forest area (% of land area)", + "World/Asia/BGD/Demography/Forest area (% of land area)", + "World/Latam/BRA/Demography/Forest area (% of land area)", + "World/Latam/CHL/Demography/Forest area (% of land area)", + "World/Pair/CHN/Demography/Forest area (% of land area)", + "World/South Africa/CMR/Demography/Forest area (% of land area)", + "World/Latam/COL/Demography/Forest area (% of land area)", + "World/Latam/CRI/Demography/Forest area (% of land area)", + "World/North Africa/DZA/Demography/Forest area (% of land area)", + "World/North Africa/EGY/Demography/Forest area (% of land area)", + "World/Europe/ESP/Demography/Forest area (% of land area)", + "World/Europe/FRA/Demography/Forest area (% of land area)", + "World/Europe/GBR/Demography/Forest area (% of land area)", + "World/Europe/GRC/Demography/Forest area (% of land area)", + "World/Europe/HRV/Demography/Forest area (% of land area)", + "World/Asia/IDN/Demography/Forest area (% of land area)", + "World/Asia/IND/Demography/Forest area (% of land area)", + "World/Asia/KOR/Demography/Forest area (% of land area)", + "World/South Africa/LBR/Demography/Forest area (% of land area)", + "World/North Africa/MAR/Demography/Forest area (% of land area)", + "World/Latam/MEX/Demography/Forest area (% of land area)", + "World/South Africa/MOZ/Demography/Forest area (% of land area)", + "World/South Africa/NGA/Demography/Forest area (% of land area)", + "World/Europe/NLD/Demography/Forest area (% of land area)", + "World/Latam/PAN/Demography/Forest area (% of land area)", + "World/Latam/PER/Demography/Forest area (% of land area)", + "World/Europe/POL/Demography/Forest area (% of land area)", + "World/South Africa/SEN/Demography/Forest area (% of land area)", + "World/North Africa/TUR/Demography/Forest area (% of land area)", + "World/Pair/USA/Demography/Forest area (% of land area)", + "World/Latam/VEN/Demography/Forest area (% of land area)", + "World/Asia/VNM/Demography/Forest area (% of land area)", + "World/South Africa/ZAF/Demography/Forest area (% of land area)", + "World/Persian Gulf/ARE/Principal/GDP deflator (base year varies by country)", + "World/Europe/AUT/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/AZE/Principal/GDP deflator (base year varies by country)", + "World/Asia/BGD/Principal/GDP deflator (base year varies by country)", + "World/Latam/BRA/Principal/GDP deflator (base year varies by country)", + "World/Latam/CHL/Principal/GDP deflator (base year varies by country)", + "World/Pair/CHN/Principal/GDP deflator (base year varies by country)", + "World/South Africa/CMR/Principal/GDP deflator (base year varies by country)", + "World/Latam/COL/Principal/GDP deflator (base year varies by country)", + "World/Latam/CRI/Principal/GDP deflator (base year varies by country)", + "World/Europe/DEU/Principal/GDP deflator (base year varies by country)", + "World/North Africa/DZA/Principal/GDP deflator (base year varies by country)", + "World/North Africa/EGY/Principal/GDP deflator (base year varies by country)", + "World/Europe/ESP/Principal/GDP deflator (base year varies by country)", + "World/Europe/FRA/Principal/GDP deflator (base year varies by country)", + "World/Europe/GBR/Principal/GDP deflator (base year varies by country)", + "World/South Africa/GHA/Principal/GDP deflator (base year varies by country)", + "World/Europe/GRC/Principal/GDP deflator (base year varies by country)", + "World/Europe/HRV/Principal/GDP deflator (base year varies by country)", + "World/Asia/IDN/Principal/GDP deflator (base year varies by country)", + "World/Asia/IND/Principal/GDP deflator (base year varies by country)", + "World/North Africa/ISR/Principal/GDP deflator (base year varies by country)", + "World/Asia/KOR/Principal/GDP deflator (base year varies by country)", + "World/South Africa/LBR/Principal/GDP deflator (base year varies by country)", + "World/North Africa/MAR/Principal/GDP deflator (base year varies by country)", + "World/Latam/MEX/Principal/GDP deflator (base year varies by country)", + "World/South Africa/MOZ/Principal/GDP deflator (base year varies by country)", + "World/South Africa/NGA/Principal/GDP deflator (base year varies by country)", + "World/Europe/NLD/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/OMN/Principal/GDP deflator (base year varies by country)", + "World/Latam/PAN/Principal/GDP deflator (base year varies by country)", + "World/Latam/PER/Principal/GDP deflator (base year varies by country)", + "World/Asia/PHL/Principal/GDP deflator (base year varies by country)", + "World/Europe/POL/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/QAT/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/SAU/Principal/GDP deflator (base year varies by country)", + "World/South Africa/SEN/Principal/GDP deflator (base year varies by country)", + "World/Asia/THA/Principal/GDP deflator (base year varies by country)", + "World/North Africa/TUR/Principal/GDP deflator (base year varies by country)", + "World/Pair/USA/Principal/GDP deflator (base year varies by country)", + "World/Latam/VEN/Principal/GDP deflator (base year varies by country)", + "World/Asia/VNM/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/YEM/Principal/GDP deflator (base year varies by country)", + "World/South Africa/ZAF/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/ARE/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/AUT/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/AZE/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/BGD/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/BRA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/CHL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Pair/CHN/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/CMR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/COL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/CRI/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/DEU/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/DZA/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/EGY/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/ESP/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/FRA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/GBR/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/GHA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/GRC/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/HRV/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/IDN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/IND/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/ISR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/KOR/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/LBR/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/MAR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/MEX/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/MOZ/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/NGA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/NLD/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/OMN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/PAN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/PER/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/PHL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/POL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/QAT/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/SAU/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/SEN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/THA/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/TUR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Pair/USA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/VEN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/VNM/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/YEM/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/ZAF/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/ARE/Principal/GDP per capita (current US$)", + "World/Latam/ARG/Principal/GDP per capita (current US$)", + "World/Europe/AUT/Principal/GDP per capita (current US$)", + "World/Persian Gulf/AZE/Principal/GDP per capita (current US$)", + "World/Asia/BGD/Principal/GDP per capita (current US$)", + "World/Latam/BRA/Principal/GDP per capita (current US$)", + "World/Latam/CHL/Principal/GDP per capita (current US$)", + "World/Pair/CHN/Principal/GDP per capita (current US$)", + "World/South Africa/CMR/Principal/GDP per capita (current US$)", + "World/Latam/COL/Principal/GDP per capita (current US$)", + "World/Latam/CRI/Principal/GDP per capita (current US$)", + "World/Europe/DEU/Principal/GDP per capita (current US$)", + "World/North Africa/DZA/Principal/GDP per capita (current US$)", + "World/North Africa/EGY/Principal/GDP per capita (current US$)", + "World/Europe/ESP/Principal/GDP per capita (current US$)", + "World/Europe/FRA/Principal/GDP per capita (current US$)", + "World/Europe/GBR/Principal/GDP per capita (current US$)", + "World/South Africa/GHA/Principal/GDP per capita (current US$)", + "World/Europe/GRC/Principal/GDP per capita (current US$)", + "World/Europe/HRV/Principal/GDP per capita (current US$)", + "World/Asia/IDN/Principal/GDP per capita (current US$)", + "World/Asia/IND/Principal/GDP per capita (current US$)", + "World/Persian Gulf/IRQ/Principal/GDP per capita (current US$)", + "World/North Africa/ISR/Principal/GDP per capita (current US$)", + "World/Asia/KOR/Principal/GDP per capita (current US$)", + "World/North Africa/MAR/Principal/GDP per capita (current US$)", + "World/Latam/MEX/Principal/GDP per capita (current US$)", + "World/South Africa/MOZ/Principal/GDP per capita (current US$)", + "World/South Africa/NGA/Principal/GDP per capita (current US$)", + "World/Europe/NLD/Principal/GDP per capita (current US$)", + "World/Persian Gulf/OMN/Principal/GDP per capita (current US$)", + "World/Latam/PAN/Principal/GDP per capita (current US$)", + "World/Latam/PER/Principal/GDP per capita (current US$)", + "World/Asia/PHL/Principal/GDP per capita (current US$)", + "World/Europe/POL/Principal/GDP per capita (current US$)", + "World/Persian Gulf/QAT/Principal/GDP per capita (current US$)", + "World/Persian Gulf/SAU/Principal/GDP per capita (current US$)", + "World/South Africa/SEN/Principal/GDP per capita (current US$)", + "World/Europe/SWE/Principal/GDP per capita (current US$)", + "World/Asia/THA/Principal/GDP per capita (current US$)", + "World/North Africa/TUR/Principal/GDP per capita (current US$)", + "World/Pair/USA/Principal/GDP per capita (current US$)", + "World/Latam/VEN/Principal/GDP per capita (current US$)", + "World/Asia/VNM/Principal/GDP per capita (current US$)", + "World/Persian Gulf/YEM/Principal/GDP per capita (current US$)", + "World/South Africa/ZAF/Principal/GDP per capita (current US$)", + "World/Persian Gulf/ARE/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/ARG/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/AZE/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/BGD/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/BRA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/CHL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Pair/CHN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/CMR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/COL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/CRI/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/EGY/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/FRA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/GBR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/GHA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/GRC/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/IDN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/IND/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/ISR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/KOR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/MAR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/MOZ/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/NGA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/OMN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/PAN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/PER/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/PHL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/POL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/QAT/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/SAU/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/SEN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/THA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/TUR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Pair/USA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/VNM/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/ZAF/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/ARG/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/AUT/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Persian Gulf/AZE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/BGD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/BRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/CHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Pair/CHN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/CMR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/COL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/CRI/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/DEU/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/EGY/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/ESP/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/FRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/GBR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/GHA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/HRV/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/IDN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/IND/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/ISR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/KOR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/MAR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/MEX/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/MOZ/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/NGA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/NLD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/PAN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/PHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/POL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/SWE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/THA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/TUR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Pair/USA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/VNM/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/ZAF/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/AUT/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/AZE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/BGD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Pair/CHN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/CMR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/COL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/CRI/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/DEU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/DZA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/ESP/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/FRA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/GBR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/GHA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/HRV/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/IDN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/IND/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/ISR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/KOR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/MEX/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/MOZ/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/NGA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/NLD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/PAN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/PHL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/POL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/SAU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/SWE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/TUR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Pair/USA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/ZAF/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/ARE/Economy/GNI (current US$)", + "World/Latam/ARG/Economy/GNI (current US$)", + "World/Europe/AUT/Economy/GNI (current US$)", + "World/Persian Gulf/AZE/Economy/GNI (current US$)", + "World/Asia/BGD/Economy/GNI (current US$)", + "World/Latam/BRA/Economy/GNI (current US$)", + "World/Latam/CHL/Economy/GNI (current US$)", + "World/Pair/CHN/Economy/GNI (current US$)", + "World/South Africa/CMR/Economy/GNI (current US$)", + "World/Latam/COL/Economy/GNI (current US$)", + "World/Latam/CRI/Economy/GNI (current US$)", + "World/Europe/DEU/Economy/GNI (current US$)", + "World/North Africa/DZA/Economy/GNI (current US$)", + "World/North Africa/EGY/Economy/GNI (current US$)", + "World/Europe/ESP/Economy/GNI (current US$)", + "World/Europe/FRA/Economy/GNI (current US$)", + "World/Europe/GBR/Economy/GNI (current US$)", + "World/South Africa/GHA/Economy/GNI (current US$)", + "World/Europe/HRV/Economy/GNI (current US$)", + "World/Asia/IDN/Economy/GNI (current US$)", + "World/Asia/IND/Economy/GNI (current US$)", + "World/Persian Gulf/IRQ/Economy/GNI (current US$)", + "World/North Africa/ISR/Economy/GNI (current US$)", + "World/Asia/KOR/Economy/GNI (current US$)", + "World/South Africa/LBR/Economy/GNI (current US$)", + "World/North Africa/MAR/Economy/GNI (current US$)", + "World/Latam/MEX/Economy/GNI (current US$)", + "World/South Africa/MOZ/Economy/GNI (current US$)", + "World/South Africa/NGA/Economy/GNI (current US$)", + "World/Europe/NLD/Economy/GNI (current US$)", + "World/Persian Gulf/OMN/Economy/GNI (current US$)", + "World/Latam/PAN/Economy/GNI (current US$)", + "World/Latam/PER/Economy/GNI (current US$)", + "World/Asia/PHL/Economy/GNI (current US$)", + "World/Europe/POL/Economy/GNI (current US$)", + "World/Persian Gulf/QAT/Economy/GNI (current US$)", + "World/Persian Gulf/SAU/Economy/GNI (current US$)", + "World/South Africa/SEN/Economy/GNI (current US$)", + "World/Europe/SWE/Economy/GNI (current US$)", + "World/Asia/THA/Economy/GNI (current US$)", + "World/North Africa/TUR/Economy/GNI (current US$)", + "World/Pair/USA/Economy/GNI (current US$)", + "World/Latam/VEN/Economy/GNI (current US$)", + "World/Asia/VNM/Economy/GNI (current US$)", + "World/Persian Gulf/YEM/Economy/GNI (current US$)", + "World/South Africa/ZAF/Economy/GNI (current US$)", + "World/Persian Gulf/ARE/Economy/General government final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/General government final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/General government final consumption expenditure (current US$)", + "World/Asia/BGD/Economy/General government final consumption expenditure (current US$)", + "World/Latam/BRA/Economy/General government final consumption expenditure (current US$)", + "World/Latam/CHL/Economy/General government final consumption expenditure (current US$)", + "World/Pair/CHN/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/CMR/Economy/General government final consumption expenditure (current US$)", + "World/Latam/COL/Economy/General government final consumption expenditure (current US$)", + "World/Latam/CRI/Economy/General government final consumption expenditure (current US$)", + "World/Europe/DEU/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/DZA/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/EGY/Economy/General government final consumption expenditure (current US$)", + "World/Europe/ESP/Economy/General government final consumption expenditure (current US$)", + "World/Europe/FRA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/GBR/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/GHA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/GRC/Economy/General government final consumption expenditure (current US$)", + "World/Europe/HRV/Economy/General government final consumption expenditure (current US$)", + "World/Asia/IDN/Economy/General government final consumption expenditure (current US$)", + "World/Asia/IND/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/ISR/Economy/General government final consumption expenditure (current US$)", + "World/Asia/KOR/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/General government final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/General government final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/General government final consumption expenditure (current US$)", + "World/Latam/PER/Economy/General government final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/General government final consumption expenditure (current US$)", + "World/Europe/POL/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/General government final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/General government final consumption expenditure (current US$)", + "World/Asia/THA/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/General government final consumption expenditure (current US$)", + "World/Pair/USA/Economy/General government final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/General government final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/General government final consumption expenditure (current US$)", + "World/Europe/AUT/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/AZE/Exports/Goods exports (BoP, current US$)", + "World/Asia/BGD/Exports/Goods exports (BoP, current US$)", + "World/Latam/BRA/Exports/Goods exports (BoP, current US$)", + "World/Latam/CHL/Exports/Goods exports (BoP, current US$)", + "World/Pair/CHN/Exports/Goods exports (BoP, current US$)", + "World/Latam/COL/Exports/Goods exports (BoP, current US$)", + "World/Latam/CRI/Exports/Goods exports (BoP, current US$)", + "World/Europe/DEU/Exports/Goods exports (BoP, current US$)", + "World/Europe/ESP/Exports/Goods exports (BoP, current US$)", + "World/Europe/FRA/Exports/Goods exports (BoP, current US$)", + "World/Europe/GBR/Exports/Goods exports (BoP, current US$)", + "World/South Africa/GHA/Exports/Goods exports (BoP, current US$)", + "World/Asia/IDN/Exports/Goods exports (BoP, current US$)", + "World/Asia/IND/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/IRQ/Exports/Goods exports (BoP, current US$)", + "World/North Africa/ISR/Exports/Goods exports (BoP, current US$)", + "World/Asia/KOR/Exports/Goods exports (BoP, current US$)", + "World/South Africa/LBR/Exports/Goods exports (BoP, current US$)", + "World/North Africa/MAR/Exports/Goods exports (BoP, current US$)", + "World/Latam/MEX/Exports/Goods exports (BoP, current US$)", + "World/South Africa/MOZ/Exports/Goods exports (BoP, current US$)", + "World/Europe/NLD/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/Goods exports (BoP, current US$)", + "World/Latam/PER/Exports/Goods exports (BoP, current US$)", + "World/Asia/PHL/Exports/Goods exports (BoP, current US$)", + "World/Europe/POL/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/Goods exports (BoP, current US$)", + "World/South Africa/SEN/Exports/Goods exports (BoP, current US$)", + "World/Europe/SWE/Exports/Goods exports (BoP, current US$)", + "World/Asia/THA/Exports/Goods exports (BoP, current US$)", + "World/North Africa/TUR/Exports/Goods exports (BoP, current US$)", + "World/Pair/USA/Exports/Goods exports (BoP, current US$)", + "World/Latam/VEN/Exports/Goods exports (BoP, current US$)", + "World/Asia/VNM/Exports/Goods exports (BoP, current US$)", + "World/South Africa/ZAF/Exports/Goods exports (BoP, current US$)", + "World/Latam/ARG/Imports/Goods imports (BoP, current US$)", + "World/Europe/AUT/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/AZE/Imports/Goods imports (BoP, current US$)", + "World/Asia/BGD/Imports/Goods imports (BoP, current US$)", + "World/Latam/BRA/Imports/Goods imports (BoP, current US$)", + "World/Latam/CHL/Imports/Goods imports (BoP, current US$)", + "World/Pair/CHN/Imports/Goods imports (BoP, current US$)", + "World/Latam/COL/Imports/Goods imports (BoP, current US$)", + "World/Latam/CRI/Imports/Goods imports (BoP, current US$)", + "World/Europe/DEU/Imports/Goods imports (BoP, current US$)", + "World/North Africa/DZA/Imports/Goods imports (BoP, current US$)", + "World/North Africa/EGY/Imports/Goods imports (BoP, current US$)", + "World/Europe/ESP/Imports/Goods imports (BoP, current US$)", + "World/Europe/FRA/Imports/Goods imports (BoP, current US$)", + "World/Europe/GBR/Imports/Goods imports (BoP, current US$)", + "World/South Africa/GHA/Imports/Goods imports (BoP, current US$)", + "World/Europe/GRC/Imports/Goods imports (BoP, current US$)", + "World/Europe/HRV/Imports/Goods imports (BoP, current US$)", + "World/Asia/IDN/Imports/Goods imports (BoP, current US$)", + "World/Asia/IND/Imports/Goods imports (BoP, current US$)", + "World/North Africa/ISR/Imports/Goods imports (BoP, current US$)", + "World/Asia/KOR/Imports/Goods imports (BoP, current US$)", + "World/South Africa/LBR/Imports/Goods imports (BoP, current US$)", + "World/North Africa/MAR/Imports/Goods imports (BoP, current US$)", + "World/Latam/MEX/Imports/Goods imports (BoP, current US$)", + "World/South Africa/MOZ/Imports/Goods imports (BoP, current US$)", + "World/South Africa/NGA/Imports/Goods imports (BoP, current US$)", + "World/Europe/NLD/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Goods imports (BoP, current US$)", + "World/Latam/PER/Imports/Goods imports (BoP, current US$)", + "World/Asia/PHL/Imports/Goods imports (BoP, current US$)", + "World/Europe/POL/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/SAU/Imports/Goods imports (BoP, current US$)", + "World/South Africa/SEN/Imports/Goods imports (BoP, current US$)", + "World/Europe/SWE/Imports/Goods imports (BoP, current US$)", + "World/Asia/THA/Imports/Goods imports (BoP, current US$)", + "World/North Africa/TUR/Imports/Goods imports (BoP, current US$)", + "World/Pair/USA/Imports/Goods imports (BoP, current US$)", + "World/Asia/VNM/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/YEM/Imports/Goods imports (BoP, current US$)", + "World/South Africa/ZAF/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/ARE/Economy/Gross capital formation (current US$)", + "World/Latam/ARG/Economy/Gross capital formation (current US$)", + "World/Europe/AUT/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/AZE/Economy/Gross capital formation (current US$)", + "World/Asia/BGD/Economy/Gross capital formation (current US$)", + "World/Latam/BRA/Economy/Gross capital formation (current US$)", + "World/Latam/CHL/Economy/Gross capital formation (current US$)", + "World/Pair/CHN/Economy/Gross capital formation (current US$)", + "World/South Africa/CMR/Economy/Gross capital formation (current US$)", + "World/Latam/COL/Economy/Gross capital formation (current US$)", + "World/Latam/CRI/Economy/Gross capital formation (current US$)", + "World/Europe/DEU/Economy/Gross capital formation (current US$)", + "World/North Africa/DZA/Economy/Gross capital formation (current US$)", + "World/North Africa/EGY/Economy/Gross capital formation (current US$)", + "World/Europe/ESP/Economy/Gross capital formation (current US$)", + "World/Europe/FRA/Economy/Gross capital formation (current US$)", + "World/Europe/GBR/Economy/Gross capital formation (current US$)", + "World/South Africa/GHA/Economy/Gross capital formation (current US$)", + "World/Europe/HRV/Economy/Gross capital formation (current US$)", + "World/Asia/IDN/Economy/Gross capital formation (current US$)", + "World/Asia/IND/Economy/Gross capital formation (current US$)", + "World/North Africa/ISR/Economy/Gross capital formation (current US$)", + "World/Asia/KOR/Economy/Gross capital formation (current US$)", + "World/North Africa/MAR/Economy/Gross capital formation (current US$)", + "World/Latam/MEX/Economy/Gross capital formation (current US$)", + "World/South Africa/MOZ/Economy/Gross capital formation (current US$)", + "World/South Africa/NGA/Economy/Gross capital formation (current US$)", + "World/Europe/NLD/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/OMN/Economy/Gross capital formation (current US$)", + "World/Latam/PAN/Economy/Gross capital formation (current US$)", + "World/Latam/PER/Economy/Gross capital formation (current US$)", + "World/Asia/PHL/Economy/Gross capital formation (current US$)", + "World/Europe/POL/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/QAT/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/SAU/Economy/Gross capital formation (current US$)", + "World/South Africa/SEN/Economy/Gross capital formation (current US$)", + "World/Europe/SWE/Economy/Gross capital formation (current US$)", + "World/Asia/THA/Economy/Gross capital formation (current US$)", + "World/North Africa/TUR/Economy/Gross capital formation (current US$)", + "World/Pair/USA/Economy/Gross capital formation (current US$)", + "World/Latam/VEN/Economy/Gross capital formation (current US$)", + "World/Asia/VNM/Economy/Gross capital formation (current US$)", + "World/South Africa/ZAF/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/ARE/Economy/Gross domestic savings (current US$)", + "World/Latam/ARG/Economy/Gross domestic savings (current US$)", + "World/Europe/AUT/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/AZE/Economy/Gross domestic savings (current US$)", + "World/Asia/BGD/Economy/Gross domestic savings (current US$)", + "World/Latam/BRA/Economy/Gross domestic savings (current US$)", + "World/Latam/CHL/Economy/Gross domestic savings (current US$)", + "World/Pair/CHN/Economy/Gross domestic savings (current US$)", + "World/South Africa/CMR/Economy/Gross domestic savings (current US$)", + "World/Latam/COL/Economy/Gross domestic savings (current US$)", + "World/Latam/CRI/Economy/Gross domestic savings (current US$)", + "World/Europe/DEU/Economy/Gross domestic savings (current US$)", + "World/North Africa/DZA/Economy/Gross domestic savings (current US$)", + "World/Europe/ESP/Economy/Gross domestic savings (current US$)", + "World/Europe/FRA/Economy/Gross domestic savings (current US$)", + "World/Europe/GBR/Economy/Gross domestic savings (current US$)", + "World/Europe/HRV/Economy/Gross domestic savings (current US$)", + "World/Asia/IDN/Economy/Gross domestic savings (current US$)", + "World/Asia/IND/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/IRQ/Economy/Gross domestic savings (current US$)", + "World/North Africa/ISR/Economy/Gross domestic savings (current US$)", + "World/Asia/KOR/Economy/Gross domestic savings (current US$)", + "World/North Africa/MAR/Economy/Gross domestic savings (current US$)", + "World/Latam/MEX/Economy/Gross domestic savings (current US$)", + "World/South Africa/NGA/Economy/Gross domestic savings (current US$)", + "World/Europe/NLD/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/OMN/Economy/Gross domestic savings (current US$)", + "World/Latam/PAN/Economy/Gross domestic savings (current US$)", + "World/Latam/PER/Economy/Gross domestic savings (current US$)", + "World/Asia/PHL/Economy/Gross domestic savings (current US$)", + "World/Europe/POL/Economy/Gross domestic savings (current US$)", + "World/Persian 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"World/Latam/BRA/Economy/Gross fixed capital formation (current US$)", + "World/Latam/CHL/Economy/Gross fixed capital formation (current US$)", + "World/Pair/CHN/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/CMR/Economy/Gross fixed capital formation (current US$)", + "World/Latam/COL/Economy/Gross fixed capital formation (current US$)", + "World/Latam/CRI/Economy/Gross fixed capital formation (current US$)", + "World/Europe/DEU/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/DZA/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/EGY/Economy/Gross fixed capital formation (current US$)", + "World/Europe/FRA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/GBR/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/GHA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/HRV/Economy/Gross fixed capital formation (current US$)", + "World/Asia/IDN/Economy/Gross fixed capital formation (current US$)", + "World/Asia/IND/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/ISR/Economy/Gross fixed capital formation (current US$)", + "World/Asia/KOR/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/MAR/Economy/Gross fixed capital formation (current US$)", + "World/Latam/MEX/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/MOZ/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/NGA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/NLD/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/OMN/Economy/Gross fixed capital formation (current US$)", + "World/Latam/PAN/Economy/Gross fixed capital formation (current US$)", + "World/Latam/PER/Economy/Gross fixed capital formation (current US$)", + "World/Asia/PHL/Economy/Gross fixed capital formation (current US$)", + "World/Europe/POL/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/SAU/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/SEN/Economy/Gross fixed capital formation (current US$)", + "World/Europe/SWE/Economy/Gross fixed capital formation (current US$)", + "World/Asia/THA/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/TUR/Economy/Gross fixed capital formation (current US$)", + "World/Pair/USA/Economy/Gross fixed capital formation (current US$)", + "World/Latam/VEN/Economy/Gross fixed capital formation (current US$)", + "World/Asia/VNM/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/ZAF/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/ARE/Economy/Gross national expenditure (current US$)", + "World/Latam/ARG/Economy/Gross national expenditure (current US$)", + "World/Europe/AUT/Economy/Gross national expenditure (current US$)", + "World/Persian 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"World/South Africa/GHA/Economy/Gross national expenditure (current US$)", + "World/Europe/GRC/Economy/Gross national expenditure (current US$)", + "World/Europe/HRV/Economy/Gross national expenditure (current US$)", + "World/Asia/IDN/Economy/Gross national expenditure (current US$)", + "World/Asia/IND/Economy/Gross national expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/Gross national expenditure (current US$)", + "World/North Africa/ISR/Economy/Gross national expenditure (current US$)", + "World/Asia/KOR/Economy/Gross national expenditure (current US$)", + "World/North Africa/MAR/Economy/Gross national expenditure (current US$)", + "World/Latam/MEX/Economy/Gross national expenditure (current US$)", + "World/South Africa/MOZ/Economy/Gross national expenditure (current US$)", + "World/South Africa/NGA/Economy/Gross national expenditure (current US$)", + "World/Europe/NLD/Economy/Gross national expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Gross national 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Africa/MOZ/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/NGA/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/NLD/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Persian Gulf/OMN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Latam/PAN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Latam/PER/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/POL/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Persian Gulf/SAU/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/SEN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/SWE/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/North Africa/TUR/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Pair/USA/Economy/Gross value added at basic 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"World/Latam/MEX/Health/Hospital beds (per 1,000 people)", + "World/South Africa/MOZ/Health/Hospital beds (per 1,000 people)", + "World/South Africa/NGA/Health/Hospital beds (per 1,000 people)", + "World/Europe/NLD/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/OMN/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/SAU/Health/Hospital beds (per 1,000 people)", + "World/North Africa/TUR/Health/Hospital beds (per 1,000 people)", + "World/Pair/USA/Health/Hospital beds (per 1,000 people)", + "World/South Africa/ZAF/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/ARE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + 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"World/Asia/KOR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/PER/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/POL/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/THA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Pair/USA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/AUT/Exports/ICT service exports (BoP, current US$)", + "World/Asia/BGD/Exports/ICT service exports (BoP, current US$)", + "World/Latam/CHL/Exports/ICT service exports (BoP, current US$)", + "World/Pair/CHN/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/CMR/Exports/ICT service exports (BoP, current US$)", + "World/Latam/CRI/Exports/ICT service exports (BoP, current US$)", + "World/Europe/DEU/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/DZA/Exports/ICT service exports (BoP, current US$)", + "World/Europe/ESP/Exports/ICT service exports (BoP, current US$)", + "World/Europe/GBR/Exports/ICT service exports (BoP, current US$)", + "World/Europe/GRC/Exports/ICT service exports (BoP, current US$)", + "World/Europe/HRV/Exports/ICT service exports (BoP, current US$)", + "World/Asia/IND/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/ISR/Exports/ICT service exports (BoP, current US$)", + "World/Asia/KOR/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/MAR/Exports/ICT service exports (BoP, current US$)", + "World/Latam/MEX/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/NGA/Exports/ICT service exports (BoP, current US$)", + "World/Europe/NLD/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/ICT service exports (BoP, current US$)", + "World/Latam/PAN/Exports/ICT service exports (BoP, current US$)", + "World/Europe/POL/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/QAT/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/ICT service exports (BoP, current US$)", + "World/Europe/SWE/Exports/ICT service exports (BoP, current US$)", + "World/Asia/THA/Exports/ICT service exports (BoP, current US$)", + "World/Pair/USA/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/ZAF/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/ARE/Imports/Import unit value index (2000 = 100)", + "World/Europe/AUT/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import unit value index (2000 = 100)", + "World/Asia/BGD/Imports/Import unit value index (2000 = 100)", + "World/Latam/CRI/Imports/Import unit value index (2000 = 100)", + "World/Europe/DEU/Imports/Import unit value index (2000 = 100)", + "World/North Africa/EGY/Imports/Import unit value index (2000 = 100)", + "World/Europe/ESP/Imports/Import unit value index (2000 = 100)", + "World/Europe/FRA/Imports/Import unit value index (2000 = 100)", + "World/Europe/GRC/Imports/Import unit value index (2000 = 100)", + "World/Europe/HRV/Imports/Import unit value index (2000 = 100)", + "World/Latam/MEX/Imports/Import unit value index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import unit value index (2000 = 100)", + "World/Europe/NLD/Imports/Import unit value index (2000 = 100)", + "World/Latam/PAN/Imports/Import unit value index (2000 = 100)", + "World/Europe/POL/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import unit value index (2000 = 100)", + "World/Europe/SWE/Imports/Import unit value index (2000 = 100)", + "World/Asia/THA/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/ARE/Imports/Import value index (2000 = 100)", + "World/Latam/ARG/Imports/Import value index (2000 = 100)", + "World/Europe/AUT/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import value index (2000 = 100)", + "World/Asia/BGD/Imports/Import value index (2000 = 100)", + "World/Latam/BRA/Imports/Import value index (2000 = 100)", + "World/Latam/CHL/Imports/Import value index (2000 = 100)", + "World/Pair/CHN/Imports/Import value index (2000 = 100)", + "World/Latam/COL/Imports/Import value index (2000 = 100)", + "World/Latam/CRI/Imports/Import value index (2000 = 100)", + "World/Europe/DEU/Imports/Import value index (2000 = 100)", + "World/North Africa/DZA/Imports/Import value index (2000 = 100)", + "World/North Africa/EGY/Imports/Import value index (2000 = 100)", + "World/Europe/ESP/Imports/Import value index (2000 = 100)", + "World/Europe/FRA/Imports/Import value index (2000 = 100)", + "World/Europe/GBR/Imports/Import value index (2000 = 100)", + "World/Europe/GRC/Imports/Import value index (2000 = 100)", + "World/Europe/HRV/Imports/Import value index (2000 = 100)", + "World/Asia/IDN/Imports/Import value index (2000 = 100)", + "World/Asia/IND/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/IRQ/Imports/Import value index (2000 = 100)", + "World/North Africa/ISR/Imports/Import value index (2000 = 100)", + "World/Asia/KOR/Imports/Import value index (2000 = 100)", + "World/North Africa/MAR/Imports/Import value index (2000 = 100)", + "World/Latam/MEX/Imports/Import value index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import value index (2000 = 100)", + "World/South Africa/NGA/Imports/Import value index (2000 = 100)", + "World/Europe/NLD/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/OMN/Imports/Import value index (2000 = 100)", + "World/Latam/PAN/Imports/Import value index (2000 = 100)", + "World/Latam/PER/Imports/Import value index (2000 = 100)", + "World/Asia/PHL/Imports/Import value index (2000 = 100)", + "World/Europe/POL/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/SAU/Imports/Import value index (2000 = 100)", + "World/South Africa/SEN/Imports/Import value index (2000 = 100)", + "World/Europe/SWE/Imports/Import value index (2000 = 100)", + "World/Asia/THA/Imports/Import value index (2000 = 100)", + "World/North Africa/TUR/Imports/Import value index (2000 = 100)", + "World/Pair/USA/Imports/Import value index (2000 = 100)", + "World/Asia/VNM/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/YEM/Imports/Import value index (2000 = 100)", + "World/South Africa/ZAF/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/ARE/Imports/Import volume index (2000 = 100)", + "World/Latam/ARG/Imports/Import volume index (2000 = 100)", + "World/Europe/AUT/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import volume index (2000 = 100)", + "World/Asia/BGD/Imports/Import volume index (2000 = 100)", + "World/Latam/BRA/Imports/Import volume index (2000 = 100)", + "World/Latam/CHL/Imports/Import volume index (2000 = 100)", + "World/Pair/CHN/Imports/Import volume index (2000 = 100)", + "World/Latam/COL/Imports/Import volume index (2000 = 100)", + "World/Latam/CRI/Imports/Import volume index (2000 = 100)", + "World/Europe/DEU/Imports/Import volume index (2000 = 100)", + "World/North Africa/DZA/Imports/Import volume index (2000 = 100)", + "World/North Africa/EGY/Imports/Import volume index (2000 = 100)", + "World/Europe/GBR/Imports/Import volume index (2000 = 100)", + "World/Asia/IDN/Imports/Import volume index (2000 = 100)", + "World/Asia/IND/Imports/Import volume index (2000 = 100)", + "World/North Africa/ISR/Imports/Import volume index (2000 = 100)", + "World/Asia/KOR/Imports/Import volume index (2000 = 100)", + "World/North Africa/MAR/Imports/Import volume index (2000 = 100)", + "World/Latam/MEX/Imports/Import volume index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import volume index (2000 = 100)", + "World/South Africa/NGA/Imports/Import volume index (2000 = 100)", + "World/Europe/NLD/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/OMN/Imports/Import volume index (2000 = 100)", + "World/Latam/PAN/Imports/Import volume index (2000 = 100)", + "World/Latam/PER/Imports/Import volume index (2000 = 100)", + "World/Asia/PHL/Imports/Import volume index (2000 = 100)", + "World/Europe/POL/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/SAU/Imports/Import volume index (2000 = 100)", + "World/South Africa/SEN/Imports/Import volume index (2000 = 100)", + "World/Asia/THA/Imports/Import volume index (2000 = 100)", + "World/North Africa/TUR/Imports/Import volume index (2000 = 100)", + "World/Pair/USA/Imports/Import volume index (2000 = 100)", + "World/Latam/VEN/Imports/Import volume index (2000 = 100)", + "World/Asia/VNM/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/YEM/Imports/Import volume index (2000 = 100)", + "World/South Africa/ZAF/Imports/Import volume index (2000 = 100)", + "World/Latam/ARG/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/AUT/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/AZE/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/BGD/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/BRA/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/CHL/Imports/Imports of goods and services (BoP, current US$)", + "World/Pair/CHN/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/CMR/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/COL/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/CRI/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/DEU/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/DZA/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/EGY/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/ESP/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/FRA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/GBR/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/GHA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/GRC/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/HRV/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/IDN/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/IND/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/ISR/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/KOR/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/MAR/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/MEX/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/MOZ/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/NGA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/NLD/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/PAN/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/PER/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/PHL/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/POL/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/SAU/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/SEN/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/SWE/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/THA/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/TUR/Imports/Imports of goods and services (BoP, current US$)", + "World/Pair/USA/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/VNM/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/YEM/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/ZAF/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/ARE/Imports/Imports of goods and services (current US$)", + "World/Latam/ARG/Imports/Imports of goods and services (current US$)", + "World/Europe/AUT/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/AZE/Imports/Imports of goods and services (current US$)", + "World/Asia/BGD/Imports/Imports of goods and services (current US$)", + "World/Latam/BRA/Imports/Imports of goods and services (current US$)", + "World/Latam/CHL/Imports/Imports of goods and services (current US$)", + "World/Pair/CHN/Imports/Imports of goods and services (current US$)", + "World/Latam/COL/Imports/Imports of goods and services (current US$)", + "World/Latam/CRI/Imports/Imports of goods and services (current US$)", + "World/Europe/DEU/Imports/Imports of goods and services (current US$)", + "World/North Africa/DZA/Imports/Imports of goods and services (current US$)", + "World/North Africa/EGY/Imports/Imports of goods and services (current US$)", + "World/Europe/ESP/Imports/Imports of goods and services (current US$)", + "World/Europe/FRA/Imports/Imports of goods and services (current US$)", + "World/Europe/GBR/Imports/Imports of goods and services (current US$)", + "World/South Africa/GHA/Imports/Imports of goods and services (current US$)", + "World/Europe/GRC/Imports/Imports of goods and services (current US$)", + "World/Europe/HRV/Imports/Imports of goods and services (current US$)", + "World/Asia/IDN/Imports/Imports of goods and services (current US$)", + "World/Asia/IND/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/IRQ/Imports/Imports of goods and services (current US$)", + "World/North Africa/ISR/Imports/Imports of goods and services (current US$)", + "World/Asia/KOR/Imports/Imports of goods and services (current US$)", + "World/North Africa/MAR/Imports/Imports of goods and services (current US$)", + "World/Latam/MEX/Imports/Imports of goods and services (current US$)", + "World/South Africa/MOZ/Imports/Imports of goods and services (current US$)", + "World/South Africa/NGA/Imports/Imports of goods and services (current US$)", + "World/Europe/NLD/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/OMN/Imports/Imports of goods and services (current US$)", + "World/Latam/PAN/Imports/Imports of goods and services (current US$)", + "World/Latam/PER/Imports/Imports of goods and services (current US$)", + "World/Asia/PHL/Imports/Imports of goods and services (current US$)", + "World/Europe/POL/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/QAT/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/SAU/Imports/Imports of goods and services (current US$)", + "World/South Africa/SEN/Imports/Imports of goods and services (current US$)", + "World/Europe/SWE/Imports/Imports of goods and services (current US$)", + "World/Asia/THA/Imports/Imports of goods and services (current US$)", + "World/North Africa/TUR/Imports/Imports of goods and services (current US$)", + "World/Pair/USA/Imports/Imports of goods and services (current US$)", + "World/Latam/VEN/Imports/Imports of goods and services (current US$)", + "World/Asia/VNM/Imports/Imports of goods and services (current US$)", + "World/South Africa/ZAF/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/ARE/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/AUT/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/AZE/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/BRA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Pair/CHN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/CMR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/CRI/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/EGY/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/ESP/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/GBR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/GHA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/HRV/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/IDN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/IND/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/IRQ/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/ISR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/LBR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/MOZ/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/OMN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/PER/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/POL/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/QAT/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/SAU/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/SEN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/THA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/TUR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Pair/USA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/VNM/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/YEM/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/ARE/Economy/Industry (including construction), value added (current US$)", + "World/Latam/ARG/Economy/Industry (including construction), value added (current US$)", + "World/Europe/AUT/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/AZE/Economy/Industry (including construction), value added (current US$)", + "World/Asia/BGD/Economy/Industry (including construction), value added (current US$)", + "World/Latam/BRA/Economy/Industry (including construction), value added (current US$)", + "World/Latam/CHL/Economy/Industry (including construction), value added (current US$)", + "World/Pair/CHN/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/CMR/Economy/Industry (including construction), value added (current US$)", + "World/Latam/COL/Economy/Industry (including construction), value added (current US$)", + "World/Latam/CRI/Economy/Industry (including construction), value added (current US$)", + "World/Europe/DEU/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/DZA/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/EGY/Economy/Industry (including construction), value added (current US$)", + "World/Europe/ESP/Economy/Industry (including construction), value added (current US$)", + "World/Europe/FRA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/GBR/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/GHA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/GRC/Economy/Industry (including construction), value added (current US$)", + "World/Europe/HRV/Economy/Industry (including construction), value added (current US$)", + "World/Asia/IDN/Economy/Industry (including construction), value added (current US$)", + "World/Asia/IND/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/IRQ/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/ISR/Economy/Industry (including construction), value added (current US$)", + "World/Asia/KOR/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/LBR/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/MAR/Economy/Industry (including construction), value added (current US$)", + "World/Latam/MEX/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/MOZ/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/NGA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/NLD/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/OMN/Economy/Industry (including construction), value added (current US$)", + "World/Latam/PAN/Economy/Industry (including construction), value added (current US$)", + "World/Latam/PER/Economy/Industry (including construction), value added (current US$)", + "World/Asia/PHL/Economy/Industry (including construction), value added (current US$)", + "World/Europe/POL/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/SAU/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/SEN/Economy/Industry (including construction), value added (current US$)", + "World/Europe/SWE/Economy/Industry (including construction), value added (current US$)", + "World/Asia/THA/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/TUR/Economy/Industry (including construction), value added (current US$)", + "World/Pair/USA/Economy/Industry (including construction), value added (current US$)", + "World/Latam/VEN/Economy/Industry (including construction), value added (current US$)", + "World/Asia/VNM/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/YEM/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/ZAF/Economy/Industry (including construction), value added (current US$)", + "World/Latam/BRA/Mortality/Intentional homicides (per 100,000 people)", + "World/Pair/CHN/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/COL/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/CRI/Mortality/Intentional homicides (per 100,000 people)", + "World/North Africa/EGY/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/ESP/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/GBR/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/IDN/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/IND/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/IRQ/Mortality/Intentional homicides (per 100,000 people)", + "World/North Africa/ISR/Mortality/Intentional homicides (per 100,000 people)", + "World/South Africa/MOZ/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/NLD/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/PAN/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/PER/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/POL/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/THA/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/VNM/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/YEM/Mortality/Intentional homicides (per 100,000 people)", + "World/South Africa/ZAF/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/ARE/Migration/International migrant stock (% of population)", + "World/Europe/AUT/Migration/International migrant stock (% of population)", + "World/Persian Gulf/AZE/Migration/International migrant stock (% of population)", + "World/Latam/CHL/Migration/International migrant stock (% of population)", + "World/Pair/CHN/Migration/International migrant stock (% of population)", + "World/Europe/DEU/Migration/International migrant stock (% of population)", + "World/North Africa/DZA/Migration/International migrant stock (% of population)", + "World/Europe/ESP/Migration/International migrant stock (% of population)", + "World/Europe/FRA/Migration/International migrant stock (% of population)", + "World/Europe/GBR/Migration/International migrant stock (% of population)", + "World/Europe/GRC/Migration/International migrant stock (% of population)", + "World/Europe/HRV/Migration/International migrant stock (% of population)", + "World/Asia/IND/Migration/International migrant stock (% of population)", + "World/North Africa/ISR/Migration/International migrant stock (% of population)", + "World/Asia/KOR/Migration/International migrant stock (% of population)", + "World/North Africa/MAR/Migration/International migrant stock (% of population)", + "World/Latam/MEX/Migration/International migrant stock (% of population)", + "World/South Africa/MOZ/Migration/International migrant stock (% of population)", + "World/South Africa/NGA/Migration/International migrant stock (% of population)", + "World/Europe/NLD/Migration/International migrant stock (% of population)", + "World/Latam/PAN/Migration/International migrant stock (% of population)", + "World/Latam/PER/Migration/International migrant stock (% of population)", + "World/Europe/POL/Migration/International migrant stock (% of population)", + "World/Persian Gulf/SAU/Migration/International migrant stock (% of population)", + "World/South Africa/SEN/Migration/International migrant stock (% of population)", + "World/Europe/SWE/Migration/International migrant stock (% of population)", + "World/Asia/THA/Migration/International migrant stock (% of population)", + "World/North Africa/TUR/Migration/International migrant stock (% of population)", + "World/Pair/USA/Migration/International migrant stock (% of population)", + "World/Asia/VNM/Migration/International migrant stock (% of population)", + "World/Persian Gulf/YEM/Migration/International migrant stock (% of population)", + "World/Persian Gulf/ARE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/AUT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/AZE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/BRA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/CHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Pair/CHN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/COL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/CRI/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/DEU/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/DZA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/EGY/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/GHA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/GRC/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/IDN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/IND/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/IRQ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/ISR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/KOR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/LBR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/MEX/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/MOZ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/NGA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/NLD/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/OMN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/PAN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/PER/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/PHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/POL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/QAT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/SWE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/TUR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Pair/USA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/VEN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/VNM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/YEM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/ZAF/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/ARE/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/ARG/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/AZE/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/BGD/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/CHL/Mortality/Lifetime risk of maternal death (%)", + "World/Pair/CHN/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/CMR/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/COL/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/CRI/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/EGY/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/ESP/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/GBR/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/GHA/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/GRC/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/HRV/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/IDN/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/IND/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/ISR/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/KOR/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/LBR/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/MAR/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/MEX/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/MOZ/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/NGA/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/NLD/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/PAN/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/PER/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/PHL/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/POL/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/QAT/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/SAU/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/SEN/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/THA/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/TUR/Mortality/Lifetime risk of maternal death (%)", + "World/Pair/USA/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/VNM/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/YEM/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/ARE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/ARG/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/AZE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/BGD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/CHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Pair/CHN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/CMR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/COL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/CRI/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/EGY/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/ESP/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/GBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/GHA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/GRC/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/HRV/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/IDN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/IND/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/ISR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/KOR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/LBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/MAR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/MEX/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/MOZ/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/NGA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/NLD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/PAN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/PER/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/PHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/POL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/QAT/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/SAU/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/SEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/THA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/TUR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Pair/USA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/VEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/VNM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/YEM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/ARE/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/ARG/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/AUT/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/AZE/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/BGD/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/BRA/Industry/Livestock production index (2014-2016 = 100)", + "World/Pair/CHN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/COL/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/CRI/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/DZA/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/EGY/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/GBR/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/GHA/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/IDN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/IND/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/ISR/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/KOR/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/LBR/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/MAR/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/MEX/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/MOZ/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/NGA/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/NLD/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/PAN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/PER/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/PHL/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/POL/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/SAU/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/SEN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/THA/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/TUR/Industry/Livestock production index (2014-2016 = 100)", + "World/Pair/USA/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/VEN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/VNM/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/ZAF/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/ARE/Health/Low-birthweight babies (% of births)", + "World/Asia/BGD/Health/Low-birthweight babies (% of births)", + "World/Latam/BRA/Health/Low-birthweight babies (% of births)", + "World/Latam/CHL/Health/Low-birthweight babies (% of births)", + "World/Pair/CHN/Health/Low-birthweight babies (% of births)", + "World/South Africa/CMR/Health/Low-birthweight babies (% of births)", + "World/Latam/COL/Health/Low-birthweight babies (% of births)", + "World/Latam/CRI/Health/Low-birthweight babies (% of births)", + "World/North Africa/DZA/Health/Low-birthweight babies (% of births)", + "World/Europe/ESP/Health/Low-birthweight babies (% of births)", + "World/Europe/FRA/Health/Low-birthweight babies (% of births)", + "World/Europe/GBR/Health/Low-birthweight babies (% of births)", + "World/South Africa/GHA/Health/Low-birthweight babies (% of births)", + "World/Europe/HRV/Health/Low-birthweight babies (% of births)", + "World/Asia/IDN/Health/Low-birthweight babies (% of births)", + "World/North Africa/ISR/Health/Low-birthweight babies (% of births)", + "World/Asia/KOR/Health/Low-birthweight babies (% of births)", + "World/North Africa/MAR/Health/Low-birthweight babies (% of births)", + "World/Latam/MEX/Health/Low-birthweight babies (% of births)", + "World/South Africa/MOZ/Health/Low-birthweight babies (% of births)", + "World/Europe/NLD/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/OMN/Health/Low-birthweight babies (% of births)", + "World/Latam/PAN/Health/Low-birthweight babies (% of births)", + "World/Latam/PER/Health/Low-birthweight babies (% of births)", + "World/Asia/PHL/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/QAT/Health/Low-birthweight babies (% of births)", + "World/South Africa/SEN/Health/Low-birthweight babies (% of births)", + "World/Asia/THA/Health/Low-birthweight babies (% of births)", + "World/North Africa/TUR/Health/Low-birthweight babies (% of births)", + "World/Asia/VNM/Health/Low-birthweight babies (% of births)", + "World/South Africa/ZAF/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/ARE/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/BGD/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/CHL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Pair/CHN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/COL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/South Africa/GHA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Europe/HRV/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/IDN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/IND/Economy/Market capitalization of listed domestic companies (current US$)", + "World/North Africa/ISR/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/KOR/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/MEX/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/OMN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/PAN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Europe/POL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/QAT/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/SAU/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/THA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Pair/USA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/VNM/Economy/Market capitalization of listed domestic companies (current US$)", + "World/South Africa/ZAF/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/ARE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/ARG/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/AZE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/BGD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/CHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Pair/CHN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/CMR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/CRI/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/DZA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/EGY/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/ESP/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/GBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/GHA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/HRV/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/IDN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/IND/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/ISR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/KOR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/LBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/MAR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/MEX/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/MOZ/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/NGA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/NLD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/PAN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/PER/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/PHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/POL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/QAT/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/SAU/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/SEN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/THA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/TUR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Pair/USA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/VNM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/YEM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/ARE/Exports/Merchandise exports (current US$)", + "World/Europe/AUT/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/AZE/Exports/Merchandise exports (current US$)", + "World/Asia/BGD/Exports/Merchandise exports (current US$)", + "World/Latam/BRA/Exports/Merchandise exports (current US$)", + "World/Latam/CHL/Exports/Merchandise exports (current US$)", + "World/Pair/CHN/Exports/Merchandise exports (current US$)", + "World/Latam/COL/Exports/Merchandise exports (current US$)", + "World/Latam/CRI/Exports/Merchandise exports (current US$)", + "World/Europe/DEU/Exports/Merchandise exports (current US$)", + "World/North Africa/EGY/Exports/Merchandise exports (current US$)", + "World/Europe/ESP/Exports/Merchandise exports (current US$)", + "World/Europe/FRA/Exports/Merchandise exports (current US$)", + "World/Europe/GBR/Exports/Merchandise exports (current US$)", + "World/South Africa/GHA/Exports/Merchandise exports (current US$)", + "World/Asia/IDN/Exports/Merchandise exports (current US$)", + "World/Asia/IND/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports (current US$)", + "World/North Africa/ISR/Exports/Merchandise exports (current US$)", + "World/Asia/KOR/Exports/Merchandise exports (current US$)", + "World/North Africa/MAR/Exports/Merchandise exports (current US$)", + "World/Latam/MEX/Exports/Merchandise exports (current US$)", + "World/South Africa/MOZ/Exports/Merchandise exports (current US$)", + "World/Europe/NLD/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/OMN/Exports/Merchandise exports (current US$)", + "World/Latam/PAN/Exports/Merchandise exports (current US$)", + "World/Latam/PER/Exports/Merchandise exports (current US$)", + "World/Asia/PHL/Exports/Merchandise exports (current US$)", + "World/Europe/POL/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/QAT/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/SAU/Exports/Merchandise exports (current US$)", + "World/South Africa/SEN/Exports/Merchandise exports (current US$)", + "World/Europe/SWE/Exports/Merchandise exports (current US$)", + "World/Asia/THA/Exports/Merchandise exports (current US$)", + "World/North Africa/TUR/Exports/Merchandise exports (current US$)", + "World/Pair/USA/Exports/Merchandise exports (current US$)", + "World/Latam/VEN/Exports/Merchandise exports (current US$)", + "World/Asia/VNM/Exports/Merchandise exports (current US$)", + "World/South Africa/ZAF/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/ARE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/AUT/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/AZE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/BGD/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/BRA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/CHL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Pair/CHN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/COL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/CRI/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/DEU/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/DZA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/EGY/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/ESP/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/FRA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/GBR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/GHA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/IDN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/IND/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/KOR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/MAR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/MEX/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/MOZ/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/NGA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/NLD/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/OMN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/PER/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/PHL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/POL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/QAT/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/SEN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/SWE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/THA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/TUR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Pair/USA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/VEN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/VNM/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/ZAF/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/AZE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/BGD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/GBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/LBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/MOZ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/NGA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/NLD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/PAN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/PER/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/PHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/POL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/QAT/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/SWE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/THA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Pair/USA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/VEN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/ZAF/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/AUT/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/BRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/FRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/IND/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/MOZ/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/NGA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/NLD/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/OMN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/PAN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/PER/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/PHL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/QAT/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/SAU/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Pair/USA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/ZAF/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/ARE/Imports/Merchandise imports (current US$)", + "World/Latam/ARG/Imports/Merchandise imports (current US$)", + "World/Europe/AUT/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/AZE/Imports/Merchandise imports (current US$)", + "World/Asia/BGD/Imports/Merchandise imports (current US$)", + "World/Latam/BRA/Imports/Merchandise imports (current US$)", + "World/Latam/CHL/Imports/Merchandise imports (current US$)", + "World/Pair/CHN/Imports/Merchandise imports (current US$)", + "World/Latam/COL/Imports/Merchandise imports (current US$)", + "World/Latam/CRI/Imports/Merchandise imports (current US$)", + "World/Europe/DEU/Imports/Merchandise imports (current US$)", + "World/North Africa/DZA/Imports/Merchandise imports (current US$)", + "World/North Africa/EGY/Imports/Merchandise imports (current US$)", + "World/Europe/ESP/Imports/Merchandise imports (current US$)", + "World/Europe/FRA/Imports/Merchandise imports (current US$)", + "World/Europe/GBR/Imports/Merchandise imports (current US$)", + "World/Europe/GRC/Imports/Merchandise imports (current US$)", + "World/Europe/HRV/Imports/Merchandise imports (current US$)", + "World/Asia/IDN/Imports/Merchandise imports (current US$)", + "World/Asia/IND/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/IRQ/Imports/Merchandise imports (current US$)", + "World/North Africa/ISR/Imports/Merchandise imports (current US$)", + "World/Asia/KOR/Imports/Merchandise imports (current US$)", + "World/North Africa/MAR/Imports/Merchandise imports (current US$)", + "World/Latam/MEX/Imports/Merchandise imports (current US$)", + "World/South Africa/MOZ/Imports/Merchandise imports (current US$)", + "World/South Africa/NGA/Imports/Merchandise imports (current US$)", + "World/Europe/NLD/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/OMN/Imports/Merchandise imports (current US$)", + "World/Latam/PAN/Imports/Merchandise imports (current US$)", + "World/Latam/PER/Imports/Merchandise imports (current US$)", + "World/Asia/PHL/Imports/Merchandise imports (current US$)", + "World/Europe/POL/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/QAT/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/SAU/Imports/Merchandise imports (current US$)", + "World/South Africa/SEN/Imports/Merchandise imports (current US$)", + "World/Europe/SWE/Imports/Merchandise imports (current US$)", + "World/Asia/THA/Imports/Merchandise imports (current US$)", + "World/North Africa/TUR/Imports/Merchandise imports (current US$)", + "World/Pair/USA/Imports/Merchandise imports (current US$)", + "World/Asia/VNM/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/YEM/Imports/Merchandise imports (current US$)", + "World/South Africa/ZAF/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/ARE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/ARG/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/AUT/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/AZE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/BGD/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/BRA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/CHL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Pair/CHN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/CMR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/COL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/CRI/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/DEU/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/DZA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/EGY/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/ESP/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/FRA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/GBR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/GHA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/GRC/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/HRV/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/IDN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/IND/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/IRQ/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/ISR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/KOR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/MAR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/MEX/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/MOZ/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/NGA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/NLD/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/OMN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/PAN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/PER/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/PHL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/POL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/QAT/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/SAU/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/SEN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/SWE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/THA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/TUR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Pair/USA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/VNM/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/ZAF/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/BGD/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/IDN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/South Africa/NGA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/OMN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/PHL/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/THA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/VNM/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/YEM/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/CHL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/DEU/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/FRA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/IDN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/MOZ/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/NGA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/NLD/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/PAN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/PHL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/SWE/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/THA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/VNM/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/ARG/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/CHL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/South Africa/LBR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/PAN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/SWE/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/South Africa/ZAF/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/FRA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/MOZ/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/NLD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/OMN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/SEN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/YEM/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/ARE/Environment/Methane emissions (% change from 1990)", + "World/Europe/AUT/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/AZE/Environment/Methane emissions (% change from 1990)", + "World/Asia/BGD/Environment/Methane emissions (% change from 1990)", + "World/Latam/CHL/Environment/Methane emissions (% change from 1990)", + "World/Pair/CHN/Environment/Methane emissions (% change from 1990)", + "World/Latam/COL/Environment/Methane emissions (% change from 1990)", + "World/Europe/DEU/Environment/Methane emissions (% change from 1990)", + "World/North Africa/DZA/Environment/Methane emissions (% change from 1990)", + "World/North Africa/EGY/Environment/Methane emissions (% change from 1990)", + "World/Europe/ESP/Environment/Methane emissions (% change from 1990)", + "World/Europe/FRA/Environment/Methane emissions (% change from 1990)", + "World/Europe/GBR/Environment/Methane emissions (% change from 1990)", + "World/South Africa/GHA/Environment/Methane emissions (% change from 1990)", + "World/Asia/IND/Environment/Methane emissions (% change from 1990)", + "World/Asia/KOR/Environment/Methane emissions (% change from 1990)", + "World/North Africa/MAR/Environment/Methane emissions (% change from 1990)", + "World/Latam/MEX/Environment/Methane emissions (% change from 1990)", + "World/Europe/NLD/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Methane emissions (% change from 1990)", + "World/Latam/PAN/Environment/Methane emissions (% change from 1990)", + "World/Latam/PER/Environment/Methane emissions (% change from 1990)", + "World/Asia/PHL/Environment/Methane emissions (% change from 1990)", + "World/Europe/POL/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/SAU/Environment/Methane emissions (% change from 1990)", + "World/North Africa/TUR/Environment/Methane emissions (% change from 1990)", + "World/Pair/USA/Environment/Methane emissions (% change from 1990)", + "World/Asia/VNM/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/ARG/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/AUT/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/BGD/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/BRA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Pair/CHN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/CMR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/COL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/CRI/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/DEU/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/DZA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/EGY/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/FRA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/GBR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/GHA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/IND/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/ISR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/LBR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/MAR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/MEX/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/NGA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/NLD/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/PAN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/PER/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/PHL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/POL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/SAU/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/SEN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/TUR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Pair/USA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/VNM/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/ARE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/AUT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/CMR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/COL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/DEU/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/EGY/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GRC/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/IRQ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/KOR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/PAN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/POL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/SEN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/THA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Pair/USA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Military/Military expenditure (current USD)", + "World/Europe/AUT/Military/Military expenditure (current USD)", + "World/Persian Gulf/AZE/Military/Military expenditure (current USD)", + "World/Asia/BGD/Military/Military expenditure (current USD)", + "World/Latam/BRA/Military/Military expenditure (current USD)", + "World/Latam/CHL/Military/Military expenditure (current USD)", + "World/Pair/CHN/Military/Military expenditure (current USD)", + "World/South Africa/CMR/Military/Military expenditure (current USD)", + "World/Latam/COL/Military/Military expenditure (current USD)", + "World/North Africa/DZA/Military/Military expenditure (current USD)", + "World/North Africa/EGY/Military/Military expenditure (current USD)", + "World/Europe/ESP/Military/Military expenditure (current USD)", + "World/Europe/FRA/Military/Military expenditure (current USD)", + "World/South Africa/GHA/Military/Military expenditure (current USD)", + "World/Europe/GRC/Military/Military expenditure (current USD)", + "World/Asia/IDN/Military/Military expenditure (current USD)", + "World/Asia/IND/Military/Military expenditure (current USD)", + "World/North Africa/ISR/Military/Military expenditure (current USD)", + "World/Asia/KOR/Military/Military expenditure (current USD)", + "World/North Africa/MAR/Military/Military expenditure (current USD)", + "World/Latam/MEX/Military/Military expenditure (current USD)", + "World/South Africa/MOZ/Military/Military expenditure (current USD)", + "World/South Africa/NGA/Military/Military expenditure (current USD)", + "World/Europe/NLD/Military/Military expenditure (current USD)", + "World/Persian Gulf/OMN/Military/Military expenditure (current USD)", + "World/Latam/PER/Military/Military expenditure (current USD)", + "World/Asia/PHL/Military/Military expenditure (current USD)", + "World/Europe/POL/Military/Military expenditure (current USD)", + "World/Persian Gulf/SAU/Military/Military expenditure (current USD)", + "World/South Africa/SEN/Military/Military expenditure (current USD)", + "World/Asia/THA/Military/Military expenditure (current USD)", + "World/North Africa/TUR/Military/Military expenditure (current USD)", + "World/Pair/USA/Military/Military expenditure (current USD)", + "World/Asia/VNM/Military/Military expenditure (current USD)", + "World/Persian Gulf/YEM/Military/Military expenditure (current USD)", + "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions", + "World/Latam/BRA/Internet/Mobile cellular subscriptions", + "World/Latam/CHL/Internet/Mobile cellular subscriptions", + "World/Pair/CHN/Internet/Mobile cellular subscriptions", + "World/Europe/DEU/Internet/Mobile cellular subscriptions", + "World/North Africa/DZA/Internet/Mobile cellular subscriptions", + "World/North Africa/EGY/Internet/Mobile cellular subscriptions", + "World/Europe/FRA/Internet/Mobile cellular subscriptions", + "World/Europe/GBR/Internet/Mobile cellular subscriptions", + "World/Europe/HRV/Internet/Mobile cellular subscriptions", + "World/Asia/IDN/Internet/Mobile cellular subscriptions", + "World/North Africa/ISR/Internet/Mobile cellular subscriptions", + "World/Asia/KOR/Internet/Mobile cellular subscriptions", + "World/North Africa/MAR/Internet/Mobile cellular subscriptions", + "World/Latam/MEX/Internet/Mobile cellular subscriptions", + "World/Europe/NLD/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions", + "World/Latam/PER/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions", + "World/Europe/SWE/Internet/Mobile cellular subscriptions", + "World/Asia/THA/Internet/Mobile cellular subscriptions", + "World/North Africa/TUR/Internet/Mobile cellular subscriptions", + "World/Pair/USA/Internet/Mobile cellular subscriptions", + "World/South Africa/ZAF/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/BRA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/CHL/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Pair/CHN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/DEU/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/DZA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/EGY/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/FRA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/HRV/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/IDN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/ISR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/KOR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/MAR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/MEX/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/NLD/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/PER/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/SWE/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/THA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/TUR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Pair/USA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/VEN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/South Africa/ZAF/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/ARE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/AZE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/BGD/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/CHL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Pair/CHN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/CMR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/COL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/CRI/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/DEU/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/DZA/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/EGY/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/FRA/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/GRC/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/HRV/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/IND/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/KOR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/LBR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/MAR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/MEX/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/OMN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/PAN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/PER/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/POL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/QAT/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/SAU/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/SEN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/SWE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/TUR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/VEN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/VNM/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/AUT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/AZE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/BGD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Pair/CHN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/CMR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/DEU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/DZA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/ESP/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/GBR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/GRC/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/HRV/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/IDN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/ISR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/KOR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/MAR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Latam/MEX/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/MOZ/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/NGA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/NLD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/OMN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/PHL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/POL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/QAT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/SAU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/SWE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/THA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/TUR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Latam/VEN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/VNM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/YEM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/ARE/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/AUT/Economy/Net barter terms of trade index (2000 = 100)", + "World/Latam/BRA/Economy/Net barter terms of trade index (2000 = 100)", + "World/Latam/COL/Economy/Net barter terms of trade index (2000 = 100)", + "World/North Africa/DZA/Economy/Net barter terms of trade index (2000 = 100)", + "World/North Africa/EGY/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/ESP/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/GHA/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/KOR/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/LBR/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/NLD/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/SWE/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/VNM/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/ZAF/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/BGD/Economy/Net primary income (BoP, current US$)", + "World/Latam/BRA/Economy/Net primary income (BoP, current US$)", + "World/Latam/COL/Economy/Net primary income (BoP, current US$)", + "World/Latam/CRI/Economy/Net primary income (BoP, current US$)", + "World/North Africa/EGY/Economy/Net primary income (BoP, current US$)", + "World/Europe/FRA/Economy/Net primary income (BoP, current US$)", + "World/South Africa/GHA/Economy/Net primary income (BoP, current US$)", + "World/Asia/IDN/Economy/Net primary income (BoP, current US$)", + "World/Asia/IND/Economy/Net primary income (BoP, current US$)", + "World/Asia/KOR/Economy/Net primary income (BoP, current US$)", + "World/Latam/MEX/Economy/Net primary income (BoP, current US$)", + "World/Persian Gulf/OMN/Economy/Net primary income (BoP, current US$)", + "World/Latam/PAN/Economy/Net primary income (BoP, current US$)", + "World/Europe/POL/Economy/Net primary income (BoP, current US$)", + "World/Persian Gulf/QAT/Economy/Net primary income (BoP, current US$)", + "World/Asia/THA/Economy/Net primary income (BoP, current US$)", + "World/North 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"World/Latam/MEX/Economy/Net secondary income (BoP, current US$)", + "World/South Africa/NGA/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/OMN/Economy/Net secondary income (BoP, current US$)", + "World/Latam/PER/Economy/Net secondary income (BoP, current US$)", + "World/Asia/PHL/Economy/Net secondary income (BoP, current US$)", + "World/Europe/POL/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/SAU/Economy/Net secondary income (BoP, current US$)", + "World/South Africa/SEN/Economy/Net secondary income (BoP, current US$)", + "World/Europe/SWE/Economy/Net secondary income (BoP, current US$)", + "World/Asia/THA/Economy/Net secondary income (BoP, current US$)", + "World/Pair/USA/Economy/Net secondary income (BoP, current US$)", + "World/Latam/VEN/Economy/Net secondary income (BoP, current US$)", + "World/Asia/VNM/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/YEM/Economy/Net secondary income (BoP, current US$)", + 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"World/Europe/GBR/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/GHA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/GRC/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Asia/IND/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/NGA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/NLD/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Latam/PAN/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Latam/PER/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/SWE/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Pair/USA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Asia/VNM/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/ZAF/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/BRA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Environment/Nitrous oxide 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"World/Europe/NLD/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/TUR/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Environment/Nitrous oxide emissions in energy sector (thousand 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"World/Europe/FRA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GBR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/KOR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Environment/Nitrous oxide emissions 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"World/Pair/CHN/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 15-19 years", + "World/Latam/COL/Mortality/Number of deaths ages 15-19 years", + "World/Europe/DEU/Mortality/Number of deaths ages 15-19 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 15-19 years", + "World/Europe/ESP/Mortality/Number of deaths ages 15-19 years", + "World/Europe/FRA/Mortality/Number of deaths ages 15-19 years", + "World/Europe/GBR/Mortality/Number of deaths ages 15-19 years", + "World/Europe/GRC/Mortality/Number of deaths ages 15-19 years", + "World/Europe/HRV/Mortality/Number of deaths ages 15-19 years", + "World/Asia/IND/Mortality/Number of deaths ages 15-19 years", + "World/Asia/KOR/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/LBR/Mortality/Number of deaths ages 15-19 years", + "World/North Africa/MAR/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/NGA/Mortality/Number of deaths ages 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of deaths ages 15-19 years", + "World/Europe/AUT/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/AZE/Mortality/Number of deaths ages 20-24 years", + "World/Asia/BGD/Mortality/Number of deaths ages 20-24 years", + "World/Latam/CHL/Mortality/Number of deaths ages 20-24 years", + "World/Pair/CHN/Mortality/Number of deaths ages 20-24 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 20-24 years", + "World/Latam/COL/Mortality/Number of deaths ages 20-24 years", + "World/Latam/CRI/Mortality/Number of deaths ages 20-24 years", + "World/Europe/DEU/Mortality/Number of deaths ages 20-24 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 20-24 years", + "World/Europe/ESP/Mortality/Number of deaths ages 20-24 years", + "World/Europe/FRA/Mortality/Number of deaths ages 20-24 years", + "World/Europe/GBR/Mortality/Number of deaths ages 20-24 years", + "World/Europe/GRC/Mortality/Number of deaths ages 20-24 years", + "World/Europe/HRV/Mortality/Number 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"World/North Africa/TUR/Mortality/Number of deaths ages 20-24 years", + "World/Latam/VEN/Mortality/Number of deaths ages 20-24 years", + "World/Asia/VNM/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/YEM/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/ARE/Mortality/Number of deaths ages 5-9 years", + "World/Latam/ARG/Mortality/Number of deaths ages 5-9 years", + "World/Europe/AUT/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/AZE/Mortality/Number of deaths ages 5-9 years", + "World/Asia/BGD/Mortality/Number of deaths ages 5-9 years", + "World/Latam/BRA/Mortality/Number of deaths ages 5-9 years", + "World/Latam/CHL/Mortality/Number of deaths ages 5-9 years", + "World/Pair/CHN/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 5-9 years", + "World/Latam/COL/Mortality/Number of deaths ages 5-9 years", + "World/Latam/CRI/Mortality/Number of deaths ages 5-9 years", + "World/Europe/DEU/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/EGY/Mortality/Number of deaths ages 5-9 years", + "World/Europe/ESP/Mortality/Number of deaths ages 5-9 years", + "World/Europe/FRA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/GBR/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/GHA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/GRC/Mortality/Number of deaths ages 5-9 years", + "World/Europe/HRV/Mortality/Number of deaths ages 5-9 years", + "World/Asia/IDN/Mortality/Number of deaths ages 5-9 years", + "World/Asia/IND/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/ISR/Mortality/Number of deaths ages 5-9 years", + "World/Asia/KOR/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/MAR/Mortality/Number of deaths ages 5-9 years", + "World/Latam/MEX/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/MOZ/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/NGA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/NLD/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/OMN/Mortality/Number of deaths ages 5-9 years", + "World/Latam/PAN/Mortality/Number of deaths ages 5-9 years", + "World/Latam/PER/Mortality/Number of deaths ages 5-9 years", + "World/Europe/POL/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/QAT/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/SAU/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/SEN/Mortality/Number of deaths ages 5-9 years", + "World/Asia/THA/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/TUR/Mortality/Number of deaths ages 5-9 years", + "World/Pair/USA/Mortality/Number of deaths ages 5-9 years", + "World/Asia/VNM/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/YEM/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/ARE/Mortality/Number of infant deaths", + "World/Latam/ARG/Mortality/Number of infant deaths", + "World/Europe/AUT/Mortality/Number of infant deaths", + "World/Persian Gulf/AZE/Mortality/Number of infant deaths", + "World/Asia/BGD/Mortality/Number of infant deaths", + "World/Latam/BRA/Mortality/Number of infant deaths", + "World/Latam/CHL/Mortality/Number of infant deaths", + "World/Pair/CHN/Mortality/Number of infant deaths", + "World/South Africa/CMR/Mortality/Number of infant deaths", + "World/Latam/COL/Mortality/Number of infant deaths", + "World/Latam/CRI/Mortality/Number of infant deaths", + "World/North Africa/EGY/Mortality/Number of infant deaths", + "World/Europe/FRA/Mortality/Number of infant deaths", + "World/Europe/GBR/Mortality/Number of infant deaths", + "World/South Africa/GHA/Mortality/Number of infant deaths", + "World/Europe/GRC/Mortality/Number of infant deaths", + "World/Europe/HRV/Mortality/Number of infant deaths", + "World/Asia/IDN/Mortality/Number of infant deaths", + "World/Asia/IND/Mortality/Number of infant deaths", + "World/Persian Gulf/IRQ/Mortality/Number of infant deaths", + "World/North Africa/ISR/Mortality/Number of infant deaths", + "World/Asia/KOR/Mortality/Number of infant deaths", + "World/South Africa/LBR/Mortality/Number of infant deaths", + "World/North Africa/MAR/Mortality/Number of infant deaths", + "World/Latam/MEX/Mortality/Number of infant deaths", + "World/South Africa/MOZ/Mortality/Number of infant deaths", + "World/Europe/NLD/Mortality/Number of infant deaths", + "World/Persian Gulf/OMN/Mortality/Number of infant deaths", + "World/Latam/PAN/Mortality/Number of infant deaths", + "World/Latam/PER/Mortality/Number of infant deaths", + "World/Asia/PHL/Mortality/Number of infant deaths", + "World/Europe/POL/Mortality/Number of infant deaths", + "World/Persian Gulf/SAU/Mortality/Number of infant deaths", + "World/South Africa/SEN/Mortality/Number of infant deaths", + "World/Europe/SWE/Mortality/Number of infant deaths", + "World/Asia/THA/Mortality/Number of infant deaths", + "World/North Africa/TUR/Mortality/Number of infant deaths", + "World/Pair/USA/Mortality/Number of infant deaths", + "World/Asia/VNM/Mortality/Number of infant deaths", + "World/Latam/ARG/Mortality/Number of maternal deaths", + "World/Persian Gulf/AZE/Mortality/Number of maternal deaths", + "World/Asia/BGD/Mortality/Number of maternal deaths", + "World/Latam/BRA/Mortality/Number of maternal deaths", + "World/Latam/CHL/Mortality/Number of maternal deaths", + "World/Pair/CHN/Mortality/Number of maternal deaths", + "World/South Africa/CMR/Mortality/Number of maternal deaths", + "World/Latam/COL/Mortality/Number of maternal deaths", + "World/Latam/CRI/Mortality/Number of maternal deaths", + "World/North Africa/DZA/Mortality/Number of maternal deaths", + "World/North Africa/EGY/Mortality/Number of maternal deaths", + "World/Europe/FRA/Mortality/Number of maternal deaths", + "World/Europe/GBR/Mortality/Number of maternal deaths", + "World/Europe/HRV/Mortality/Number of maternal deaths", + "World/Asia/IDN/Mortality/Number of maternal deaths", + "World/Asia/IND/Mortality/Number of maternal deaths", + "World/North Africa/ISR/Mortality/Number of maternal deaths", + "World/Asia/KOR/Mortality/Number of maternal deaths", + "World/North Africa/MAR/Mortality/Number of maternal deaths", + "World/Latam/MEX/Mortality/Number of maternal deaths", + "World/South Africa/MOZ/Mortality/Number of maternal deaths", + "World/South Africa/NGA/Mortality/Number of maternal deaths", + "World/Europe/NLD/Mortality/Number of maternal deaths", + "World/Persian Gulf/OMN/Mortality/Number of maternal deaths", + "World/Latam/PAN/Mortality/Number of maternal deaths", + "World/Latam/PER/Mortality/Number of maternal deaths", + "World/Asia/PHL/Mortality/Number of maternal deaths", + "World/Europe/POL/Mortality/Number of maternal deaths", + "World/Persian Gulf/SAU/Mortality/Number of maternal deaths", + "World/South Africa/SEN/Mortality/Number of maternal deaths", + "World/Asia/THA/Mortality/Number of maternal deaths", + "World/North Africa/TUR/Mortality/Number of maternal deaths", + "World/Pair/USA/Mortality/Number of maternal deaths", + "World/Asia/VNM/Mortality/Number of maternal deaths", + "World/Persian Gulf/YEM/Mortality/Number of maternal deaths", + "World/Persian Gulf/ARE/Mortality/Number of neonatal deaths", + "World/Latam/ARG/Mortality/Number of neonatal deaths", + "World/Europe/AUT/Mortality/Number of neonatal deaths", + "World/Persian Gulf/AZE/Mortality/Number of neonatal deaths", + "World/Asia/BGD/Mortality/Number of neonatal deaths", + "World/Latam/BRA/Mortality/Number of neonatal deaths", + "World/Latam/CHL/Mortality/Number of neonatal deaths", + "World/Pair/CHN/Mortality/Number of neonatal deaths", + "World/Latam/COL/Mortality/Number of neonatal deaths", + "World/Latam/CRI/Mortality/Number of neonatal deaths", + "World/North Africa/DZA/Mortality/Number of neonatal deaths", + "World/North Africa/EGY/Mortality/Number of neonatal deaths", + "World/Europe/FRA/Mortality/Number of neonatal deaths", + "World/Europe/GBR/Mortality/Number of neonatal deaths", + "World/South Africa/GHA/Mortality/Number of neonatal deaths", + "World/Europe/GRC/Mortality/Number of neonatal deaths", + "World/Europe/HRV/Mortality/Number of neonatal deaths", + "World/Asia/IDN/Mortality/Number of neonatal deaths", + "World/Asia/IND/Mortality/Number of neonatal deaths", + "World/North Africa/ISR/Mortality/Number of neonatal deaths", + "World/Asia/KOR/Mortality/Number of neonatal deaths", + "World/North Africa/MAR/Mortality/Number of neonatal deaths", + "World/Latam/MEX/Mortality/Number of neonatal deaths", + "World/South Africa/MOZ/Mortality/Number of neonatal deaths", + "World/South Africa/NGA/Mortality/Number of neonatal deaths", + "World/Europe/NLD/Mortality/Number of neonatal deaths", + "World/Persian Gulf/OMN/Mortality/Number of neonatal deaths", + "World/Latam/PAN/Mortality/Number of neonatal deaths", + "World/Latam/PER/Mortality/Number of neonatal deaths", + "World/Asia/PHL/Mortality/Number of neonatal deaths", + "World/Europe/POL/Mortality/Number of neonatal deaths", + "World/Persian Gulf/QAT/Mortality/Number of neonatal deaths", + "World/Persian Gulf/SAU/Mortality/Number of neonatal deaths", + "World/South Africa/SEN/Mortality/Number of neonatal deaths", + "World/Asia/THA/Mortality/Number of neonatal deaths", + "World/North Africa/TUR/Mortality/Number of neonatal deaths", + "World/Pair/USA/Mortality/Number of neonatal deaths", + "World/Asia/VNM/Mortality/Number of neonatal deaths", + "World/South Africa/ZAF/Mortality/Number of neonatal deaths", + "World/Persian Gulf/ARE/Mortality/Number of under-five deaths", + "World/Latam/ARG/Mortality/Number of under-five deaths", + "World/Europe/AUT/Mortality/Number of under-five deaths", + "World/Persian Gulf/AZE/Mortality/Number of under-five deaths", + "World/Asia/BGD/Mortality/Number of under-five deaths", + "World/Latam/BRA/Mortality/Number of under-five deaths", + "World/Latam/CHL/Mortality/Number of under-five deaths", + "World/Pair/CHN/Mortality/Number of under-five deaths", + "World/South Africa/CMR/Mortality/Number of under-five deaths", + "World/Latam/COL/Mortality/Number of under-five deaths", + "World/Latam/CRI/Mortality/Number of under-five deaths", + "World/North Africa/EGY/Mortality/Number of under-five deaths", + "World/Europe/FRA/Mortality/Number of under-five deaths", + "World/Europe/GBR/Mortality/Number of under-five deaths", + "World/South Africa/GHA/Mortality/Number of under-five deaths", + "World/Europe/GRC/Mortality/Number of under-five deaths", + "World/Europe/HRV/Mortality/Number of under-five deaths", + "World/Asia/IDN/Mortality/Number of under-five deaths", + "World/Asia/IND/Mortality/Number of under-five deaths", + "World/Persian Gulf/IRQ/Mortality/Number of under-five deaths", + "World/North Africa/ISR/Mortality/Number of under-five deaths", + "World/Asia/KOR/Mortality/Number of under-five deaths", + "World/South Africa/LBR/Mortality/Number of under-five deaths", + "World/North Africa/MAR/Mortality/Number of under-five deaths", + "World/Latam/MEX/Mortality/Number of under-five deaths", + "World/South Africa/MOZ/Mortality/Number of under-five deaths", + "World/Europe/NLD/Mortality/Number of under-five deaths", + "World/Persian Gulf/OMN/Mortality/Number of under-five deaths", + "World/Latam/PAN/Mortality/Number of under-five deaths", + "World/Latam/PER/Mortality/Number of under-five deaths", + "World/Asia/PHL/Mortality/Number of under-five deaths", + "World/Europe/POL/Mortality/Number of under-five deaths", + "World/Persian Gulf/SAU/Mortality/Number of under-five deaths", + "World/South Africa/SEN/Mortality/Number of under-five deaths", + "World/Europe/SWE/Mortality/Number of under-five deaths", + "World/Asia/THA/Mortality/Number of under-five deaths", + "World/North Africa/TUR/Mortality/Number of under-five deaths", + "World/Pair/USA/Mortality/Number of under-five deaths", + "World/Asia/VNM/Mortality/Number of under-five deaths", + "World/Latam/ARG/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/AUT/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/AZE/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/BGD/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/BRA/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/CHL/Health/Nurses and midwives (per 1,000 people)", + "World/Pair/CHN/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/CMR/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/CRI/Health/Nurses and midwives (per 1,000 people)", + "World/North Africa/EGY/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/ESP/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/FRA/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/GHA/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/HRV/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/IDN/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/IND/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/KOR/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/LBR/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/MOZ/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/NLD/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/OMN/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/PAN/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/PER/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/POL/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/SAU/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/SWE/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/THA/Health/Nurses and midwives (per 1,000 people)", + "World/North Africa/TUR/Health/Nurses and midwives (per 1,000 people)", + "World/Pair/USA/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/VEN/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/YEM/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/ZAF/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/ARG/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/AUT/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/BGD/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/BRA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/CHL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Pair/CHN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/CMR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/COL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/CRI/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/DEU/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/DZA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/EGY/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/ESP/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/FRA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/GBR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/GHA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/GRC/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/HRV/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/IDN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/IND/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/ISR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/KOR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/LBR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/NGA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/NLD/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/PAN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/PER/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/PHL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/POL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/SEN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/SWE/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Pair/USA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/VEN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/VNM/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/ARG/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/AZE/Health/People practicing open defecation (% of population)", + "World/Asia/BGD/Health/People practicing open defecation (% of population)", + "World/Latam/BRA/Health/People practicing open defecation (% of population)", + "World/Latam/CHL/Health/People practicing open defecation (% of population)", + "World/Pair/CHN/Health/People practicing open defecation (% of population)", + "World/South Africa/CMR/Health/People practicing open defecation (% of population)", + "World/Latam/COL/Health/People practicing open defecation (% of population)", + "World/Latam/CRI/Health/People practicing open defecation (% of population)", + "World/North Africa/DZA/Health/People practicing open defecation (% of population)", + "World/North Africa/EGY/Health/People practicing open defecation (% of population)", + "World/South Africa/GHA/Health/People practicing open defecation (% of population)", + "World/Europe/GRC/Health/People practicing open defecation (% of population)", + "World/Asia/IDN/Health/People practicing open defecation (% of population)", + "World/Asia/IND/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/IRQ/Health/People practicing open defecation (% of population)", + "World/South Africa/LBR/Health/People practicing open defecation (% of population)", + "World/North Africa/MAR/Health/People practicing open defecation (% of population)", + "World/Latam/MEX/Health/People practicing open defecation (% of population)", + "World/South Africa/MOZ/Health/People practicing open defecation (% of population)", + "World/South Africa/NGA/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/OMN/Health/People practicing open defecation (% of population)", + "World/Latam/PAN/Health/People practicing open defecation (% of population)", + "World/Latam/PER/Health/People practicing open defecation (% of population)", + "World/Asia/PHL/Health/People practicing open defecation (% of population)", + "World/South Africa/SEN/Health/People practicing open defecation (% of population)", + "World/Asia/THA/Health/People practicing open defecation (% of population)", + "World/North Africa/TUR/Health/People practicing open defecation (% of population)", + "World/Latam/VEN/Health/People practicing open defecation (% of population)", + "World/Asia/VNM/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/YEM/Health/People practicing open defecation (% of population)", + "World/South Africa/ZAF/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/ARE/Health/People using at least basic drinking water services (% of population)", + "World/Latam/ARG/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/AZE/Health/People using at least basic drinking water services (% of population)", + "World/Asia/BGD/Health/People using at least basic drinking water services (% of population)", + "World/Latam/BRA/Health/People using at least basic drinking water services (% of population)", + "World/Latam/CHL/Health/People using at least basic drinking water services (% of population)", + "World/Pair/CHN/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/CMR/Health/People using at least basic drinking water services (% of population)", + "World/Latam/COL/Health/People using at least basic drinking water services (% of population)", + "World/Latam/CRI/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/DZA/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/EGY/Health/People using at least basic drinking water services (% of population)", + "World/Europe/ESP/Health/People using at least basic drinking water services (% of population)", + "World/Europe/FRA/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/GHA/Health/People using at least basic drinking water services (% of population)", + "World/Europe/GRC/Health/People using at least basic drinking water services (% of population)", + "World/Europe/HRV/Health/People using at least basic drinking water services (% of population)", + "World/Asia/IDN/Health/People using at least basic drinking water services (% of population)", + "World/Asia/IND/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/IRQ/Health/People using at least basic drinking water services (% of population)", + "World/Asia/KOR/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/LBR/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/MAR/Health/People using at least basic drinking water services (% of population)", + "World/Latam/MEX/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/MOZ/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/NGA/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/OMN/Health/People using at least basic drinking water services (% of population)", + "World/Latam/PAN/Health/People using at least basic drinking water services (% of population)", + "World/Latam/PER/Health/People using at least basic drinking water services (% of population)", + "World/Asia/PHL/Health/People using at least basic drinking water services (% of population)", + "World/Europe/POL/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/QAT/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/SAU/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/SEN/Health/People using at least basic drinking water services (% of population)", + "World/Europe/SWE/Health/People using at least basic drinking water services (% of population)", + "World/Asia/THA/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/TUR/Health/People using at least basic drinking water services (% of population)", + "World/Pair/USA/Health/People using at least basic drinking water services (% of population)", + "World/Latam/VEN/Health/People using at least basic drinking water services (% of population)", + "World/Asia/VNM/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/YEM/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/ZAF/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/ARE/Health/People using at least basic sanitation services (% of population)", + "World/Latam/ARG/Health/People using at least basic sanitation services (% of population)", + "World/Europe/AUT/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/AZE/Health/People using at least basic sanitation services (% of population)", + "World/Asia/BGD/Health/People using at least basic sanitation services (% of population)", + "World/Latam/BRA/Health/People using at least basic sanitation services (% of population)", + "World/Latam/CHL/Health/People using at least basic sanitation services (% of population)", + "World/Pair/CHN/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/CMR/Health/People using at least basic sanitation services (% of population)", + "World/Latam/COL/Health/People using at least basic sanitation services (% of population)", + "World/Latam/CRI/Health/People using at least basic sanitation services (% of population)", + "World/Europe/DEU/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/DZA/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/EGY/Health/People using at least basic sanitation services (% of population)", + "World/Europe/ESP/Health/People using at least basic sanitation services (% of population)", + "World/Europe/FRA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/GBR/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/GHA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/GRC/Health/People using at least basic sanitation services (% of population)", + "World/Europe/HRV/Health/People using at least basic sanitation services (% of population)", + "World/Asia/IDN/Health/People using at least basic sanitation services (% of population)", + "World/Asia/IND/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/IRQ/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/ISR/Health/People using at least basic sanitation services (% of population)", + "World/Asia/KOR/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/LBR/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/MAR/Health/People using at least basic sanitation services (% of population)", + "World/Latam/MEX/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/MOZ/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/NGA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/NLD/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/OMN/Health/People using at least basic sanitation services (% of population)", + "World/Latam/PAN/Health/People using at least basic sanitation services (% of population)", + "World/Latam/PER/Health/People using at least basic sanitation services (% of population)", + "World/Asia/PHL/Health/People using at least basic sanitation services (% of population)", + "World/Europe/POL/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/SAU/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/SEN/Health/People using at least basic sanitation services (% of population)", + "World/Europe/SWE/Health/People using at least basic sanitation services (% of population)", + "World/Asia/THA/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/TUR/Health/People using at least basic sanitation services (% of population)", + "World/Pair/USA/Health/People using at least basic sanitation services (% of population)", + "World/Latam/VEN/Health/People using at least basic sanitation services (% of population)", + "World/Asia/VNM/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/YEM/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/ZAF/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/ARE/Health/People using safely managed sanitation services (% of population)", + "World/Latam/ARG/Health/People using safely managed sanitation services (% of population)", + "World/Europe/AUT/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/AZE/Health/People using safely managed sanitation services (% of population)", + "World/Asia/BGD/Health/People using safely managed sanitation services (% of population)", + "World/Latam/BRA/Health/People using safely managed sanitation services (% of population)", + "World/Latam/CHL/Health/People using safely managed sanitation services (% of population)", + "World/Pair/CHN/Health/People using safely managed sanitation services (% of population)", + "World/Latam/COL/Health/People using safely managed sanitation services (% of population)", + "World/Latam/CRI/Health/People using safely managed sanitation services (% of population)", + "World/Europe/DEU/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/DZA/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/EGY/Health/People using safely managed sanitation services (% of population)", + "World/Europe/FRA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/GBR/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/GHA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/GRC/Health/People using safely managed sanitation services (% of population)", + "World/Asia/IND/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/ISR/Health/People using safely managed sanitation services (% of population)", + "World/Asia/KOR/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/MAR/Health/People using safely managed sanitation services (% of population)", + "World/Latam/MEX/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/NGA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/NLD/Health/People using safely managed sanitation services (% of population)", + "World/Latam/PER/Health/People using safely managed sanitation services (% of population)", + "World/Asia/PHL/Health/People using safely managed sanitation services (% of population)", + "World/Europe/POL/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/QAT/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/SAU/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/SEN/Health/People using safely managed sanitation services (% of population)", + "World/Europe/SWE/Health/People using safely managed sanitation services (% of population)", + "World/Asia/THA/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/TUR/Health/People using safely managed sanitation services (% of population)", + "World/Pair/USA/Health/People using safely managed sanitation services (% of population)", + "World/Latam/VEN/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/YEM/Health/People using safely managed sanitation services (% of population)", + "World/Europe/AUT/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Permanent cropland (% of land area)", + "World/Latam/CHL/Agriculture/Permanent cropland (% of land area)", + "World/Pair/CHN/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/CMR/Agriculture/Permanent cropland (% of land area)", + "World/Latam/COL/Agriculture/Permanent cropland (% of land area)", + "World/Latam/CRI/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/DZA/Agriculture/Permanent cropland (% of land area)", + "World/Europe/FRA/Agriculture/Permanent cropland (% of land area)", + "World/Europe/GRC/Agriculture/Permanent cropland (% of land area)", + "World/Asia/IDN/Agriculture/Permanent cropland (% of land area)", + "World/Asia/IND/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/MAR/Agriculture/Permanent cropland (% of land area)", + "World/Latam/MEX/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/MOZ/Agriculture/Permanent cropland (% of land area)", + "World/Europe/NLD/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/OMN/Agriculture/Permanent cropland (% of land area)", + "World/Latam/PER/Agriculture/Permanent cropland (% of land area)", + "World/Asia/PHL/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/SEN/Agriculture/Permanent cropland (% of land area)", + "World/Asia/THA/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/TUR/Agriculture/Permanent cropland (% of land area)", + "World/Asia/VNM/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/ZAF/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/ARE/Demography/Population ages 0-14 (% of total population)", + "World/Latam/ARG/Demography/Population ages 0-14 (% of total population)", + "World/Europe/AUT/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/AZE/Demography/Population ages 0-14 (% of total population)", + "World/Asia/BGD/Demography/Population ages 0-14 (% of total population)", + "World/Latam/BRA/Demography/Population ages 0-14 (% of total population)", + "World/Latam/CHL/Demography/Population ages 0-14 (% of total population)", + "World/Pair/CHN/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/CMR/Demography/Population ages 0-14 (% of total population)", + "World/Latam/COL/Demography/Population ages 0-14 (% of total population)", + "World/Latam/CRI/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/EGY/Demography/Population ages 0-14 (% of total population)", + "World/Europe/FRA/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/GHA/Demography/Population ages 0-14 (% of total population)", + "World/Europe/HRV/Demography/Population ages 0-14 (% of total population)", + "World/Asia/IDN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/IND/Demography/Population ages 0-14 (% of total population)", + "World/Asia/KOR/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/MAR/Demography/Population ages 0-14 (% of total population)", + "World/Latam/MEX/Demography/Population ages 0-14 (% of total population)", + "World/Europe/NLD/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/OMN/Demography/Population ages 0-14 (% of total population)", + "World/Latam/PAN/Demography/Population ages 0-14 (% of total population)", + "World/Latam/PER/Demography/Population ages 0-14 (% of total population)", + "World/Asia/PHL/Demography/Population ages 0-14 (% of total population)", + "World/Europe/POL/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/SAU/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/SEN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/THA/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/TUR/Demography/Population ages 0-14 (% of total population)", + "World/Pair/USA/Demography/Population ages 0-14 (% of total population)", + "World/Latam/VEN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/VNM/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/ARE/Demography/Population ages 15-64 (% of total population)", + "World/Latam/ARG/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/AZE/Demography/Population ages 15-64 (% of total population)", + "World/Asia/BGD/Demography/Population ages 15-64 (% of total population)", + "World/Latam/BRA/Demography/Population ages 15-64 (% of total population)", + "World/Latam/CHL/Demography/Population ages 15-64 (% of total population)", + "World/Pair/CHN/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/CMR/Demography/Population ages 15-64 (% of total population)", + "World/Latam/COL/Demography/Population ages 15-64 (% of total population)", + "World/Latam/CRI/Demography/Population ages 15-64 (% of total population)", + "World/Europe/DEU/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/EGY/Demography/Population ages 15-64 (% of total population)", + "World/Europe/FRA/Demography/Population ages 15-64 (% of total population)", + "World/Europe/GBR/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/GHA/Demography/Population ages 15-64 (% of total population)", + "World/Europe/GRC/Demography/Population ages 15-64 (% of total population)", + "World/Asia/IDN/Demography/Population ages 15-64 (% of total population)", + "World/Asia/IND/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/ISR/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/MAR/Demography/Population ages 15-64 (% of total population)", + "World/Latam/MEX/Demography/Population ages 15-64 (% of total population)", + "World/Europe/NLD/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/OMN/Demography/Population ages 15-64 (% of total population)", + "World/Latam/PAN/Demography/Population ages 15-64 (% of total population)", + "World/Latam/PER/Demography/Population ages 15-64 (% of total population)", + "World/Asia/PHL/Demography/Population ages 15-64 (% of total population)", + "World/Europe/POL/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/SAU/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/SEN/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/TUR/Demography/Population ages 15-64 (% of total population)", + "World/Pair/USA/Demography/Population ages 15-64 (% of total population)", + "World/Latam/VEN/Demography/Population ages 15-64 (% of total population)", + "World/Asia/VNM/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/ARE/Demography/Population ages 65 and above (% of total population)", + "World/Latam/ARG/Demography/Population ages 65 and above (% of total population)", + "World/Europe/AUT/Demography/Population ages 65 and above (% of total population)", + "World/Asia/BGD/Demography/Population ages 65 and above (% of total population)", + "World/Latam/BRA/Demography/Population ages 65 and above (% of total population)", + "World/Latam/CHL/Demography/Population ages 65 and above (% of total population)", + "World/Pair/CHN/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/CMR/Demography/Population ages 65 and above (% of total population)", + "World/Latam/COL/Demography/Population ages 65 and above (% of total population)", + "World/Latam/CRI/Demography/Population ages 65 and above (% of total population)", + "World/Europe/DEU/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/DZA/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/EGY/Demography/Population ages 65 and above (% of total population)", + "World/Europe/FRA/Demography/Population ages 65 and above (% of total population)", + "World/Europe/GBR/Demography/Population ages 65 and above (% of total population)", + "World/Europe/GRC/Demography/Population ages 65 and above (% of total population)", + "World/Europe/HRV/Demography/Population ages 65 and above (% of total population)", + "World/Asia/IDN/Demography/Population ages 65 and above (% of total population)", + "World/Asia/IND/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/ISR/Demography/Population ages 65 and above (% of total population)", + "World/Asia/KOR/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/MAR/Demography/Population ages 65 and above (% of total population)", + "World/Latam/MEX/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/MOZ/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/NGA/Demography/Population ages 65 and above (% of total population)", + "World/Europe/NLD/Demography/Population ages 65 and above (% of total population)", + "World/Latam/PAN/Demography/Population ages 65 and above (% of total population)", + "World/Latam/PER/Demography/Population ages 65 and above (% of total population)", + "World/Asia/PHL/Demography/Population ages 65 and above (% of total population)", + "World/Europe/POL/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 65 and above (% of total population)", + "World/Asia/THA/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/TUR/Demography/Population ages 65 and above (% of total population)", + "World/Pair/USA/Demography/Population ages 65 and above (% of total population)", + "World/Latam/VEN/Demography/Population ages 65 and above (% of total population)", + "World/Asia/VNM/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/ARE/Demography/Population in largest city", + "World/Latam/ARG/Demography/Population in largest city", + "World/Europe/AUT/Demography/Population in largest city", + "World/Persian Gulf/AZE/Demography/Population in largest city", + "World/Asia/BGD/Demography/Population in largest city", + "World/Latam/BRA/Demography/Population in largest city", + "World/Latam/CHL/Demography/Population in largest city", + "World/Pair/CHN/Demography/Population in largest city", + "World/South Africa/CMR/Demography/Population in largest city", + "World/Latam/COL/Demography/Population in largest city", + "World/Latam/CRI/Demography/Population in largest city", + "World/North Africa/DZA/Demography/Population in largest city", + "World/North Africa/EGY/Demography/Population in largest city", + "World/Europe/ESP/Demography/Population in largest city", + "World/Europe/FRA/Demography/Population in largest city", + "World/Europe/GBR/Demography/Population in largest city", + "World/South Africa/GHA/Demography/Population in largest city", + "World/Europe/GRC/Demography/Population in largest city", + "World/Europe/HRV/Demography/Population in largest city", + "World/Asia/IDN/Demography/Population in largest city", + "World/Asia/IND/Demography/Population in largest city", + "World/North Africa/ISR/Demography/Population in largest city", + "World/North Africa/MAR/Demography/Population in largest city", + "World/Latam/MEX/Demography/Population in largest city", + "World/South Africa/MOZ/Demography/Population in largest city", + "World/South Africa/NGA/Demography/Population in largest city", + "World/Europe/NLD/Demography/Population in largest city", + "World/Persian Gulf/OMN/Demography/Population in largest city", + "World/Latam/PAN/Demography/Population in largest city", + "World/Latam/PER/Demography/Population in largest city", + "World/Asia/PHL/Demography/Population in largest city", + "World/Europe/POL/Demography/Population in largest city", + "World/Persian Gulf/QAT/Demography/Population in largest city", + "World/Persian Gulf/SAU/Demography/Population in largest city", + "World/South Africa/SEN/Demography/Population in largest city", + "World/Asia/THA/Demography/Population in largest city", + "World/North Africa/TUR/Demography/Population in largest city", + "World/Pair/USA/Demography/Population in largest city", + "World/Latam/VEN/Demography/Population in largest city", + "World/Asia/VNM/Demography/Population in largest city", + "World/Persian Gulf/YEM/Demography/Population in largest city", + "World/South Africa/ZAF/Demography/Population in largest city", + "World/Persian Gulf/ARE/Demography/Population in the largest city (% of urban population)", + "World/Latam/ARG/Demography/Population in the largest city (% of urban population)", + "World/Europe/AUT/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/AZE/Demography/Population in the largest city (% of urban population)", + "World/Asia/BGD/Demography/Population in the largest city (% of urban population)", + "World/Latam/CHL/Demography/Population in the largest city (% of urban population)", + "World/South Africa/CMR/Demography/Population in the largest city (% of urban population)", + "World/Latam/COL/Demography/Population in the largest city (% of urban population)", + "World/Latam/CRI/Demography/Population in the largest city (% of urban population)", + "World/North Africa/DZA/Demography/Population in the largest city (% of urban population)", + "World/North Africa/EGY/Demography/Population in the largest city (% of urban population)", + "World/Europe/FRA/Demography/Population in the largest city (% of urban population)", + "World/Europe/GBR/Demography/Population in the largest city (% of urban population)", + "World/Asia/IDN/Demography/Population in the largest city (% of urban population)", + "World/Asia/IND/Demography/Population in the largest city (% of urban population)", + "World/North Africa/ISR/Demography/Population in the largest city (% of urban population)", + "World/Asia/KOR/Demography/Population in the largest city (% of urban population)", + "World/North Africa/MAR/Demography/Population in the largest city (% of urban population)", + "World/Latam/MEX/Demography/Population in the largest city (% of urban population)", + "World/South Africa/MOZ/Demography/Population in the largest city (% of urban population)", + "World/South Africa/NGA/Demography/Population in the largest city (% of urban population)", + "World/Europe/NLD/Demography/Population in the largest city (% of urban population)", + "World/Latam/PAN/Demography/Population in the largest city (% of urban population)", + "World/Latam/PER/Demography/Population in the largest city (% of urban population)", + "World/Europe/POL/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/QAT/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/SAU/Demography/Population in the largest city (% of urban population)", + "World/South Africa/SEN/Demography/Population in the largest city (% of urban population)", + "World/North Africa/TUR/Demography/Population in the largest city (% of urban population)", + "World/Pair/USA/Demography/Population in the largest city (% of urban population)", + "World/Latam/VEN/Demography/Population in the largest city (% of urban population)", + "World/Asia/VNM/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/YEM/Demography/Population in the largest city (% of urban population)", + "World/South Africa/ZAF/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/CHL/Demography/Population in urban agglomerations of more than 1 million", + "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/DEU/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/EGY/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/ESP/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/FRA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/ISR/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/NLD/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/OMN/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/PHL/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/SEN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million", + "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/VEN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/AZE/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/BGD/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/CHL/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Pair/CHN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/CMR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/EGY/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Europe/GBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/GHA/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/IDN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/IND/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/LBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/MAR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/MOZ/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/PAN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/PER/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/SEN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Europe/SWE/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/THA/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/TUR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/VNM/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Persian Gulf/YEM/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/ZAF/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Persian Gulf/ARE/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/AZE/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/BGD/Health/Pregnant women receiving prenatal care (%)", + "World/Pair/CHN/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/CMR/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/COL/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/CRI/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/DZA/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/EGY/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/IDN/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/IND/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/LBR/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/MAR/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/MOZ/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/NGA/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/PER/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/PHL/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/QAT/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/SAU/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/SEN/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/TUR/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/VEN/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/VNM/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/YEM/Health/Pregnant women receiving prenatal care (%)", + "World/Europe/AUT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/BGD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/BRA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Pair/CHN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/CMR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/COL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/CRI/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/DEU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/DZA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/EGY/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/ESP/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/GBR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/GHA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/GRC/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/IND/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/ISR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/MAR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/MEX/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/MOZ/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/NGA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/NLD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/PAN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/PER/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/PHL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/SEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Pair/USA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/VEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/VNM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/BGD/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/BRA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/CHL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Pair/CHN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/CMR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/COL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/CRI/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/DZA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/EGY/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/ESP/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/GBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/GHA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/ISR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/KOR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/LBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/MAR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/MEX/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/MOZ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/NGA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/NLD/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/PAN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/PER/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/PHL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/SEN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/THA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Pair/USA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/VEN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/VNM/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/ZAF/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/ARE/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/ARG/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/BGD/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/BRA/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/CHL/Health/Prevalence of anemia among pregnant women (%)", + "World/Pair/CHN/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/CMR/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/COL/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/CRI/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/DZA/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/EGY/Health/Prevalence of anemia among pregnant women (%)", + "World/Europe/GBR/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/GHA/Health/Prevalence of anemia among pregnant women (%)", + "World/Europe/HRV/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/IND/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/ISR/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/KOR/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/LBR/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/MAR/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/MEX/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/MOZ/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/NGA/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/PAN/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/PER/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/PHL/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/SEN/Health/Prevalence of anemia among pregnant women (%)", + "World/Pair/USA/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/VEN/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/VNM/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/ZAF/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/ARG/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/BGD/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/BRA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/CHL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Pair/CHN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/CMR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/COL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/CRI/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/DZA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/EGY/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/ESP/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/FRA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/GBR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/GHA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/GRC/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/ISR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/KOR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/LBR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/MAR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/MEX/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/MOZ/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/NGA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/NLD/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/PAN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/PER/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/PHL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/SEN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/THA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Pair/USA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/VEN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/VNM/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/ZAF/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/ARG/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/AUT/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/AZE/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/BGD/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/BRA/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/CHL/Health/Prevalence of current tobacco use (% of adults)", + "World/Pair/CHN/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/CMR/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/COL/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/CRI/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/DEU/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/DZA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/ESP/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/FRA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/GBR/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/GHA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/GRC/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/HRV/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/IDN/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/IND/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/IRQ/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/ISR/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/KOR/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/LBR/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/MAR/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/MEX/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/MOZ/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/NGA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/NLD/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/OMN/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/PAN/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/PER/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/PHL/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/POL/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/QAT/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/SEN/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/SWE/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/THA/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/TUR/Health/Prevalence of current tobacco use (% of adults)", + "World/Pair/USA/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/VNM/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/YEM/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/ZAF/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/ARG/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/AZE/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/BGD/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/CHL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Pair/CHN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/COL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/CRI/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/DZA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/EGY/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/GRC/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/IDN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/IND/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/KOR/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/MAR/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/MEX/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/South Africa/NGA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/NLD/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/OMN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/PAN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/PER/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/PHL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/POL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/QAT/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/SAU/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/THA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Pair/USA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/VEN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/VNM/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/YEM/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/South Africa/ZAF/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/AZE/Health/Prevalence of undernourishment (% of population)", + "World/Asia/BGD/Health/Prevalence of undernourishment (% of population)", + "World/Latam/BRA/Health/Prevalence of undernourishment (% of population)", + "World/Pair/CHN/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/CMR/Health/Prevalence of undernourishment (% of population)", + "World/North Africa/DZA/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/GHA/Health/Prevalence of undernourishment (% of population)", + "World/Asia/IDN/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/IRQ/Health/Prevalence of undernourishment (% of population)", + "World/North Africa/MAR/Health/Prevalence of undernourishment (% of population)", + "World/Latam/MEX/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/MOZ/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/NGA/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/OMN/Health/Prevalence of undernourishment (% of population)", + "World/Latam/PAN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/PHL/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/SEN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/THA/Health/Prevalence of undernourishment (% of population)", + "World/Latam/VEN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/VNM/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/YEM/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/ARE/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Persian Gulf/AZE/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Asia/BGD/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Latam/BRA/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Pair/CHN/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/South Africa/CMR/Economy/Price level ratio of PPP conversion factor (GDP) to market 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"World/Pair/USA/Economy/Primary income receipts (BoP, current US$)", + "World/Asia/VNM/Economy/Primary income receipts (BoP, current US$)", + "World/Persian Gulf/YEM/Economy/Primary income receipts (BoP, current US$)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/AZE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/BRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/CRI/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/MEX/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South 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(per 1,000)", + "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/NGA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/NLD/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/OMN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/PAN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/PER/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/PHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/POL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/QAT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/SAU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/SEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/VEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/AZE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/BRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/CRI/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/MEX/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South 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"World/Europe/SWE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/NGA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/NLD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/OMN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/PAN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/PER/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/PHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/POL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/QAT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/SAU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/SEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/VEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/ARG/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/AZE/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/CHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Pair/CHN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/COL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket 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"World/Latam/MEX/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/South Africa/MOZ/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/South Africa/NGA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/PAN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/PER/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Asia/PHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/SAU/Economy/Proportion of 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household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/AZE/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/BGD/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/BRA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/CHL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Pair/CHN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/CMR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/DZA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/EGY/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Europe/GBR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/GHA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/IND/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/ISR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/KOR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/MEX/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/MOZ/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/PAN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/PHL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Europe/POL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/SEN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/THA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/TUR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Pair/USA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/VNM/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/GHA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/IND/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/NGA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Pair/CHN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/POL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/VEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/ARE/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/ARG/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/BGD/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Pair/CHN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/CRI/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/DEU/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/EGY/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/GBR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/GHA/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/GRC/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/IDN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/IND/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/KOR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/MAR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/MEX/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/MOZ/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/NLD/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/PAN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/PHL/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/POL/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Persian Gulf/SAU/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/SWE/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/TUR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Pair/USA/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/VNM/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/ZAF/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Persian Gulf/ARE/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/ARG/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/AUT/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/AZE/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/BGD/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/BRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/CHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Pair/CHN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/CMR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/COL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/CRI/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/DZA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/EGY/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/ESP/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/FRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/GBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/GHA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/IDN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/IND/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/ISR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/KOR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/LBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/MAR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/MEX/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/MOZ/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/NGA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/NLD/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/OMN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/PAN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/PER/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/PHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/POL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/QAT/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/SAU/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/SEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/THA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/TUR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Pair/USA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/VEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/VNM/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/YEM/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/ZAF/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/AUT/R&D/Researchers in R&D (per million people)", + "World/Latam/BRA/R&D/Researchers in R&D (per million people)", + "World/Pair/CHN/R&D/Researchers in R&D (per million people)", + "World/Europe/DEU/R&D/Researchers in R&D (per million people)", + "World/North Africa/DZA/R&D/Researchers in R&D (per million people)", + "World/Europe/ESP/R&D/Researchers in R&D (per million people)", + "World/Europe/FRA/R&D/Researchers in R&D (per million people)", + "World/Europe/GBR/R&D/Researchers in R&D (per million people)", + "World/South Africa/GHA/R&D/Researchers in R&D (per million people)", + "World/Europe/GRC/R&D/Researchers in R&D (per million people)", + "World/Asia/IND/R&D/Researchers in R&D (per million people)", + "World/Asia/KOR/R&D/Researchers in R&D (per million people)", + "World/North Africa/MAR/R&D/Researchers in R&D (per million people)", + "World/South Africa/MOZ/R&D/Researchers in R&D (per million people)", + "World/Europe/NLD/R&D/Researchers in R&D (per million people)", + "World/Persian Gulf/OMN/R&D/Researchers in R&D (per million people)", + "World/Asia/PHL/R&D/Researchers in R&D (per million people)", + "World/Europe/POL/R&D/Researchers in R&D (per million people)", + "World/Asia/THA/R&D/Researchers in R&D (per million people)", + "World/North Africa/TUR/R&D/Researchers in R&D (per million people)", + "World/Pair/USA/R&D/Researchers in R&D (per million people)", + "World/Latam/VEN/R&D/Researchers in R&D (per million people)", + "World/Persian Gulf/AZE/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/BGD/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/BRA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/CHL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Pair/CHN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/CRI/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/North Africa/EGY/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Europe/ESP/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/South Africa/GHA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/IND/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/KOR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/North Africa/MAR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/MEX/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/PAN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/PER/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Europe/POL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/THA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Pair/USA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/VNM/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Persian Gulf/AZE/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/BGD/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/BRA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/CHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Pair/CHN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/CMR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/COL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/CRI/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/DZA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/EGY/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/GHA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/IDN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/IND/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/MAR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/MEX/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/MOZ/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/PAN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/PER/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/PHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Europe/POL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/SEN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/THA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/VNM/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Persian Gulf/ARE/Demography/Rural population", + "World/Latam/ARG/Demography/Rural population", + "World/Europe/AUT/Demography/Rural population", + "World/Persian Gulf/AZE/Demography/Rural population", + "World/Asia/BGD/Demography/Rural population", + "World/Latam/BRA/Demography/Rural population", + "World/Pair/CHN/Demography/Rural population", + "World/South Africa/CMR/Demography/Rural population", + "World/Latam/COL/Demography/Rural population", + "World/Latam/CRI/Demography/Rural population", + "World/North Africa/DZA/Demography/Rural population", + "World/North Africa/EGY/Demography/Rural population", + "World/Europe/FRA/Demography/Rural population", + "World/Europe/GBR/Demography/Rural population", + "World/South Africa/GHA/Demography/Rural population", + "World/Europe/GRC/Demography/Rural population", + "World/Europe/HRV/Demography/Rural population", + "World/Asia/IDN/Demography/Rural population", + "World/Asia/IND/Demography/Rural population", + "World/North Africa/ISR/Demography/Rural population", + "World/South Africa/LBR/Demography/Rural population", + "World/North Africa/MAR/Demography/Rural population", + "World/South Africa/MOZ/Demography/Rural population", + "World/South Africa/NGA/Demography/Rural population", + "World/Europe/NLD/Demography/Rural population", + "World/Persian Gulf/OMN/Demography/Rural population", + "World/Latam/PAN/Demography/Rural population", + "World/Asia/PHL/Demography/Rural population", + "World/Europe/POL/Demography/Rural population", + "World/Persian Gulf/QAT/Demography/Rural population", + "World/Persian Gulf/SAU/Demography/Rural population", + "World/South Africa/SEN/Demography/Rural population", + "World/North Africa/TUR/Demography/Rural population", + "World/Pair/USA/Demography/Rural population", + "World/Asia/VNM/Demography/Rural population", + "World/Persian Gulf/YEM/Demography/Rural population", + "World/Persian Gulf/ARE/Demography/Rural population (% of total population)", + "World/Latam/ARG/Demography/Rural population (% of total population)", + "World/Persian Gulf/AZE/Demography/Rural population (% of total population)", + "World/Asia/BGD/Demography/Rural population (% of total population)", + "World/Latam/BRA/Demography/Rural population (% of total population)", + "World/Latam/CHL/Demography/Rural population (% of total population)", + "World/Pair/CHN/Demography/Rural population (% of total population)", + "World/South Africa/CMR/Demography/Rural population (% of total population)", + "World/Latam/COL/Demography/Rural population (% of total population)", + "World/Latam/CRI/Demography/Rural population (% of total population)", + "World/Europe/DEU/Demography/Rural population (% of total population)", + "World/North Africa/DZA/Demography/Rural population (% of total population)", + "World/Europe/ESP/Demography/Rural population (% of total population)", + "World/Europe/FRA/Demography/Rural population (% of total population)", + "World/Europe/GBR/Demography/Rural population (% of total population)", + "World/South Africa/GHA/Demography/Rural population (% of total population)", + "World/Europe/GRC/Demography/Rural population (% of total population)", + "World/Europe/HRV/Demography/Rural population (% of total population)", + "World/Asia/IDN/Demography/Rural population (% of total population)", + "World/Asia/IND/Demography/Rural population (% of total population)", + "World/Persian Gulf/IRQ/Demography/Rural population (% of total population)", + "World/North Africa/ISR/Demography/Rural population (% of total population)", + "World/South Africa/LBR/Demography/Rural population (% of total population)", + "World/North Africa/MAR/Demography/Rural population (% of total population)", + "World/Latam/MEX/Demography/Rural population (% of total population)", + "World/South Africa/MOZ/Demography/Rural population (% of total population)", + "World/South Africa/NGA/Demography/Rural population (% of total population)", + "World/Europe/NLD/Demography/Rural population (% of total population)", + "World/Persian Gulf/OMN/Demography/Rural population (% of total population)", + "World/Latam/PAN/Demography/Rural population (% of total population)", + "World/Latam/PER/Demography/Rural population (% of total population)", + "World/Europe/POL/Demography/Rural population (% of total population)", + "World/Persian Gulf/QAT/Demography/Rural population (% of total population)", + "World/Persian Gulf/SAU/Demography/Rural population (% of total population)", + "World/South Africa/SEN/Demography/Rural population (% of total population)", + "World/Asia/THA/Demography/Rural population (% of total population)", + "World/North Africa/TUR/Demography/Rural population (% of total population)", + "World/Pair/USA/Demography/Rural population (% of total population)", + "World/Latam/VEN/Demography/Rural population (% of total population)", + "World/Asia/VNM/Demography/Rural population (% of total population)", + "World/Persian Gulf/YEM/Demography/Rural population (% of total population)", + "World/South Africa/ZAF/Demography/Rural population (% of total population)", + "World/Persian Gulf/ARE/industry/Scientific and technical journal articles", + "World/Latam/ARG/industry/Scientific and technical journal articles", + "World/Europe/AUT/industry/Scientific and technical journal articles", + "World/Persian Gulf/AZE/industry/Scientific and technical journal articles", + "World/Asia/BGD/industry/Scientific and technical journal articles", + "World/Latam/BRA/industry/Scientific and technical journal articles", + "World/Latam/CHL/industry/Scientific and technical journal articles", + "World/Pair/CHN/industry/Scientific and technical journal articles", + "World/South Africa/CMR/industry/Scientific and technical journal articles", + "World/Latam/COL/industry/Scientific and technical journal articles", + "World/Latam/CRI/industry/Scientific and technical journal articles", + "World/North Africa/DZA/industry/Scientific 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+ "World/Europe/ESP/Imports/Service imports (BoP, current US$)", + "World/Europe/FRA/Imports/Service imports (BoP, current US$)", + "World/Europe/GBR/Imports/Service imports (BoP, current US$)", + "World/South Africa/GHA/Imports/Service imports (BoP, current US$)", + "World/Europe/HRV/Imports/Service imports (BoP, current US$)", + "World/Asia/IDN/Imports/Service imports (BoP, current US$)", + "World/Asia/IND/Imports/Service imports (BoP, current US$)", + "World/North Africa/ISR/Imports/Service imports (BoP, current US$)", + "World/Asia/KOR/Imports/Service imports (BoP, current US$)", + "World/North Africa/MAR/Imports/Service imports (BoP, current US$)", + "World/Latam/MEX/Imports/Service imports (BoP, current US$)", + "World/South Africa/MOZ/Imports/Service imports (BoP, current US$)", + "World/South Africa/NGA/Imports/Service imports (BoP, current US$)", + "World/Europe/NLD/Imports/Service imports (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Service imports (BoP, current 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"World/Asia/BGD/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/BRA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/CHL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Pair/CHN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/COL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/DZA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/EGY/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/IDN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/IND/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/MAR/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/MEX/Mortality/Suicide mortality rate (per 100,000 population)", + "World/South Africa/NGA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/PAN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/PHL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Europe/POL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/QAT/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/SAU/Mortality/Suicide mortality rate (per 100,000 population)", + "World/South Africa/SEN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/TUR/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Pair/USA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/VEN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/VNM/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/YEM/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/ARG/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/AUT/Taxes/Taxes less subsidies on products (current US$)", + "World/Persian Gulf/AZE/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/BGD/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/BRA/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/CHL/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/CMR/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/COL/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/CRI/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/DEU/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/DZA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/ESP/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/FRA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/GBR/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/GHA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/GRC/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/HRV/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/IND/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/ISR/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/KOR/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/MAR/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/MEX/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/MOZ/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/NGA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/NLD/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/PAN/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/PER/Taxes/Taxes less subsidies on products (current US$)", + 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"World/Asia/THA/Economy/Taxes on international trade (% of revenue)", + "World/Latam/ARG/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/AUT/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Asia/BGD/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/CHL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Pair/CHN/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/COL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/CRI/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/DEU/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/DZA/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/ESP/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/FRA/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/GBR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/GRC/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/ISR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Asia/KOR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/MAR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/MEX/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Persian Gulf/OMN/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/PER/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/POL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/SWE/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Pair/USA/Industry/Textiles and clothing 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requirements of government regulations (% of senior management time)", + "World/South Africa/NGA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/PAN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/PER/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/PHL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Europe/POL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/South Africa/SEN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/THA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/North Africa/TUR/R&D/Time spent dealing with the 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projected estimates, 15+ years of age)", + "World/Asia/IND/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/North Africa/ISR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/KOR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/North Africa/MAR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/MEX/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/South Africa/MOZ/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/South Africa/NGA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/NLD/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/OMN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/PAN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/POL/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/QAT/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/THA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Pair/USA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/VEN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/VNM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/YEM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/ARE/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/AZE/Industry/Total fisheries production (metric tons)", + "World/Asia/BGD/Industry/Total fisheries production (metric tons)", + "World/Latam/BRA/Industry/Total fisheries production (metric tons)", + "World/Latam/CHL/Industry/Total fisheries production (metric tons)", + "World/Pair/CHN/Industry/Total fisheries production (metric tons)", + "World/South Africa/CMR/Industry/Total fisheries production (metric tons)", + "World/Latam/CRI/Industry/Total fisheries production (metric tons)", + "World/North Africa/EGY/Industry/Total fisheries production (metric tons)", + "World/Europe/HRV/Industry/Total fisheries production (metric tons)", + "World/Asia/IDN/Industry/Total fisheries production (metric tons)", + "World/Asia/IND/Industry/Total fisheries production (metric tons)", + "World/North Africa/ISR/Industry/Total fisheries production (metric tons)", + "World/North Africa/MAR/Industry/Total fisheries production (metric tons)", + "World/Latam/MEX/Industry/Total fisheries production (metric tons)", + "World/South Africa/MOZ/Industry/Total fisheries production (metric tons)", + "World/South Africa/NGA/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/OMN/Industry/Total fisheries production (metric tons)", + "World/Asia/PHL/Industry/Total fisheries production (metric tons)", + "World/Europe/POL/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/SAU/Industry/Total fisheries production (metric tons)", + "World/Asia/THA/Industry/Total fisheries production (metric tons)", + "World/Asia/VNM/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/BGD/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/CHL/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Pair/CHN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/CRI/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/DZA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/EGY/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/GBR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/HRV/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/IND/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/IRQ/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/ISR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/KOR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/MAR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/MEX/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/NLD/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/PAN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/PHL/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/SWE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/THA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/TUR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Pair/USA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/VNM/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/BGD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/BRA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/CHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Pair/CHN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/CMR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/COL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/CRI/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/DEU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/DZA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/EGY/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/GBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/GHA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/GRC/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/IDN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/IND/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/ISR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/KOR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/LBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/MAR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/MEX/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/NGA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/NLD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/PAN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/PER/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/PHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/SAU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/SEN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/SWE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/THA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/TUR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/VNM/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/ARE/Economy/Total reserves (includes gold, current US$)", + "World/Asia/BGD/Economy/Total reserves (includes gold, current US$)", + "World/Latam/BRA/Economy/Total reserves (includes gold, current US$)", + "World/Latam/CHL/Economy/Total reserves (includes gold, current US$)", + "World/Pair/CHN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/COL/Economy/Total reserves (includes gold, current US$)", + "World/Latam/CRI/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/DZA/Economy/Total reserves (includes gold, current US$)", + "World/Europe/ESP/Economy/Total reserves (includes gold, current US$)", + "World/Europe/FRA/Economy/Total reserves (includes gold, current US$)", + "World/Europe/GBR/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/GHA/Economy/Total reserves (includes gold, current US$)", + "World/Asia/IDN/Economy/Total reserves (includes gold, current US$)", + "World/Asia/IND/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/IRQ/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/ISR/Economy/Total reserves (includes gold, current US$)", + "World/Asia/KOR/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/LBR/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/MAR/Economy/Total reserves (includes gold, current US$)", + "World/Latam/MEX/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/MOZ/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/OMN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/PAN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/PER/Economy/Total reserves (includes gold, current US$)", + "World/Asia/PHL/Economy/Total reserves (includes gold, current US$)", + "World/Europe/POL/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/QAT/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/SAU/Economy/Total reserves (includes gold, current US$)", + "World/Europe/SWE/Economy/Total reserves (includes gold, current US$)", + "World/Asia/THA/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/TUR/Economy/Total reserves (includes gold, current US$)", + "World/Pair/USA/Economy/Total reserves (includes gold, current US$)", + "World/Latam/VEN/Economy/Total reserves (includes gold, current US$)", + "World/Asia/VNM/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/ZAF/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/ARE/Economy/Total reserves minus gold (current US$)", + "World/Asia/BGD/Economy/Total reserves minus gold (current US$)", + "World/Latam/BRA/Economy/Total reserves minus gold (current US$)", + "World/Latam/CHL/Economy/Total reserves minus gold (current US$)", + "World/Pair/CHN/Economy/Total reserves minus gold (current US$)", + "World/Latam/COL/Economy/Total reserves minus gold (current US$)", + "World/Latam/CRI/Economy/Total reserves minus gold (current US$)", + "World/North Africa/DZA/Economy/Total reserves minus gold (current US$)", + "World/Europe/FRA/Economy/Total reserves minus gold (current US$)", + "World/Europe/GBR/Economy/Total reserves minus gold (current US$)", + "World/South Africa/GHA/Economy/Total reserves minus gold (current US$)", + "World/Asia/IDN/Economy/Total reserves minus gold (current US$)", + "World/Asia/IND/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/IRQ/Economy/Total reserves minus gold (current US$)", + "World/North Africa/ISR/Economy/Total reserves minus gold (current US$)", + "World/Asia/KOR/Economy/Total reserves minus gold (current US$)", + "World/South Africa/LBR/Economy/Total reserves minus gold (current US$)", + "World/North Africa/MAR/Economy/Total reserves minus gold (current US$)", + "World/Latam/MEX/Economy/Total reserves minus gold (current US$)", + "World/South Africa/MOZ/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/OMN/Economy/Total reserves minus gold (current US$)", + "World/Latam/PAN/Economy/Total reserves minus gold (current US$)", + "World/Latam/PER/Economy/Total reserves minus gold (current US$)", + "World/Asia/PHL/Economy/Total reserves minus gold (current US$)", + "World/Europe/POL/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/QAT/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/SAU/Economy/Total reserves minus gold (current US$)", + "World/Europe/SWE/Economy/Total reserves minus gold (current US$)", + "World/Asia/THA/Economy/Total reserves minus gold (current US$)", + "World/North Africa/TUR/Economy/Total reserves minus gold (current US$)", + "World/Latam/VEN/Economy/Total reserves minus gold (current US$)", + "World/Asia/VNM/Economy/Total reserves minus gold (current US$)", + "World/South Africa/ZAF/Economy/Total reserves minus gold (current US$)", + "World/Latam/ARG/Health/UHC service coverage index", + "World/Europe/AUT/Health/UHC service coverage index", + "World/Persian Gulf/AZE/Health/UHC service coverage index", + "World/Asia/BGD/Health/UHC service coverage index", + "World/Latam/BRA/Health/UHC service coverage index", + "World/Latam/CHL/Health/UHC service coverage index", + "World/Pair/CHN/Health/UHC service coverage index", + "World/South Africa/CMR/Health/UHC service coverage index", + "World/Latam/COL/Health/UHC service coverage index", + "World/Latam/CRI/Health/UHC service coverage index", + "World/Europe/DEU/Health/UHC service coverage index", + "World/North Africa/DZA/Health/UHC service coverage index", + "World/North Africa/EGY/Health/UHC service coverage index", + "World/Europe/ESP/Health/UHC service coverage index", + "World/Europe/FRA/Health/UHC service coverage index", + "World/Europe/GBR/Health/UHC service coverage index", + "World/South Africa/GHA/Health/UHC service coverage index", + "World/Europe/GRC/Health/UHC service coverage index", + "World/Europe/HRV/Health/UHC service coverage index", + "World/Asia/IDN/Health/UHC service coverage index", + "World/Asia/IND/Health/UHC service coverage index", + "World/Persian Gulf/IRQ/Health/UHC service coverage index", + "World/North Africa/ISR/Health/UHC service coverage index", + "World/Asia/KOR/Health/UHC service coverage index", + "World/South Africa/LBR/Health/UHC service coverage index", + "World/North Africa/MAR/Health/UHC service coverage index", + "World/Latam/MEX/Health/UHC service coverage index", + "World/South Africa/MOZ/Health/UHC service coverage index", + "World/South Africa/NGA/Health/UHC service coverage index", + "World/Europe/NLD/Health/UHC service coverage index", + "World/Persian Gulf/OMN/Health/UHC service coverage index", + "World/Latam/PAN/Health/UHC service coverage index", + "World/Latam/PER/Health/UHC service coverage index", + "World/Asia/PHL/Health/UHC service coverage index", + "World/Europe/POL/Health/UHC service coverage index", + "World/Persian Gulf/QAT/Health/UHC service coverage index", + "World/South Africa/SEN/Health/UHC service coverage index", + "World/Europe/SWE/Health/UHC service coverage index", + "World/Asia/THA/Health/UHC service coverage index", + "World/North Africa/TUR/Health/UHC service coverage index", + "World/Pair/USA/Health/UHC service coverage index", + "World/Latam/VEN/Health/UHC service coverage index", + "World/Asia/VNM/Health/UHC service coverage index", + "World/Persian Gulf/YEM/Health/UHC service coverage index", + "World/South Africa/ZAF/Health/UHC service coverage index", + "World/Persian Gulf/ARE/Demography/Urban population", + "World/Latam/ARG/Demography/Urban population", + "World/Persian Gulf/AZE/Demography/Urban population", + "World/Asia/BGD/Demography/Urban population", + "World/Latam/BRA/Demography/Urban population", + "World/Latam/CHL/Demography/Urban population", + "World/Pair/CHN/Demography/Urban population", + "World/South Africa/CMR/Demography/Urban population", + "World/Latam/COL/Demography/Urban population", + "World/Latam/CRI/Demography/Urban population", + "World/North Africa/DZA/Demography/Urban population", + "World/North Africa/EGY/Demography/Urban population", + "World/Europe/ESP/Demography/Urban population", + "World/Europe/FRA/Demography/Urban population", + "World/Europe/GBR/Demography/Urban population", + "World/South Africa/GHA/Demography/Urban population", + "World/Asia/IDN/Demography/Urban population", + "World/Asia/IND/Demography/Urban population", + "World/North Africa/ISR/Demography/Urban population", + "World/Asia/KOR/Demography/Urban population", + "World/South Africa/LBR/Demography/Urban population", + "World/North Africa/MAR/Demography/Urban population", + "World/Latam/MEX/Demography/Urban population", + "World/South Africa/MOZ/Demography/Urban population", + "World/South Africa/NGA/Demography/Urban population", + "World/Europe/NLD/Demography/Urban population", + "World/Persian Gulf/OMN/Demography/Urban population", + "World/Latam/PAN/Demography/Urban population", + "World/Latam/PER/Demography/Urban population", + "World/Asia/PHL/Demography/Urban population", + "World/Europe/POL/Demography/Urban population", + "World/Persian Gulf/QAT/Demography/Urban population", + "World/Persian Gulf/SAU/Demography/Urban population", + "World/South Africa/SEN/Demography/Urban population", + "World/Asia/THA/Demography/Urban population", + "World/North Africa/TUR/Demography/Urban population", + "World/Pair/USA/Demography/Urban population", + "World/Latam/VEN/Demography/Urban population", + "World/Asia/VNM/Demography/Urban population", + "World/Persian Gulf/YEM/Demography/Urban population", + "World/South Africa/ZAF/Demography/Urban population", + "World/Persian Gulf/ARE/Demography/Urban population (% of total population)", + "World/Latam/ARG/Demography/Urban population (% of total population)", + "World/Persian Gulf/AZE/Demography/Urban population (% of total population)", + "World/Asia/BGD/Demography/Urban population (% of total population)", + "World/Latam/BRA/Demography/Urban population (% of total population)", + "World/Latam/CHL/Demography/Urban population (% of total population)", + "World/Pair/CHN/Demography/Urban population (% of total population)", + "World/South Africa/CMR/Demography/Urban population (% of total population)", + "World/Latam/COL/Demography/Urban population (% of total population)", + "World/Latam/CRI/Demography/Urban population (% of total population)", + "World/Europe/DEU/Demography/Urban population (% of total population)", + "World/North Africa/DZA/Demography/Urban population (% of total population)", + "World/Europe/ESP/Demography/Urban population (% of total population)", + "World/Europe/FRA/Demography/Urban population (% of total population)", + "World/Europe/GBR/Demography/Urban population (% of total population)", + "World/South Africa/GHA/Demography/Urban population (% of total population)", + "World/Europe/GRC/Demography/Urban population (% of total population)", + "World/Europe/HRV/Demography/Urban population (% of total population)", + "World/Asia/IDN/Demography/Urban population (% of total population)", + "World/Asia/IND/Demography/Urban population (% of total population)", + "World/Persian Gulf/IRQ/Demography/Urban population (% of total population)", + "World/North Africa/ISR/Demography/Urban population (% of total population)", + "World/South Africa/LBR/Demography/Urban population (% of total population)", + "World/North Africa/MAR/Demography/Urban population (% of total population)", + "World/Latam/MEX/Demography/Urban population (% of total population)", + "World/South Africa/MOZ/Demography/Urban population (% of total population)", + "World/South Africa/NGA/Demography/Urban population (% of total population)", + "World/Europe/NLD/Demography/Urban population (% of total population)", + "World/Persian Gulf/OMN/Demography/Urban population (% of total population)", + "World/Latam/PAN/Demography/Urban population (% of total population)", + "World/Latam/PER/Demography/Urban population (% of total population)", + "World/Europe/POL/Demography/Urban population (% of total population)", + "World/Persian Gulf/QAT/Demography/Urban population (% of total population)", + "World/Persian Gulf/SAU/Demography/Urban population (% of total population)", + "World/South Africa/SEN/Demography/Urban population (% of total population)", + "World/Asia/THA/Demography/Urban population (% of total population)", + "World/North Africa/TUR/Demography/Urban population (% of total population)", + "World/Pair/USA/Demography/Urban population (% of total population)", + "World/Latam/VEN/Demography/Urban population (% of total population)", + "World/Asia/VNM/Demography/Urban population (% of total population)", + "World/Persian Gulf/YEM/Demography/Urban population (% of total population)", + "World/South Africa/ZAF/Demography/Urban population (% of total population)", + "World/Europe/AUT/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/AZE/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/BGD/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/CHL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Pair/CHN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/COL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/CRI/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/DEU/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/DZA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/EGY/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/GBR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/GHA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/HRV/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/IND/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/ISR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/KOR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/MAR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/MEX/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/MOZ/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/NGA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/NLD/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/PAN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/PER/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/PHL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/POL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/SAU/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/SWE/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/THA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/TUR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/VEN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/VNM/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/YEM/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/ZAF/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/ARE/A&D", + "World/Latam/ARG/A&D", + "World/Europe/AUT/A&D", + "World/Persian Gulf/AZE/A&D", + "World/Asia/BGD/A&D", + "World/Latam/BRA/A&D", + "World/Latam/CHL/A&D", + "World/Pair/CHN/A&D", + "World/Latam/CRI/A&D", + "World/North Africa/EGY/A&D", + "World/Europe/GBR/A&D", + "World/South Africa/GHA/A&D", + "World/Europe/HRV/A&D", + "World/Asia/IND/A&D", + "World/North Africa/ISR/A&D", + "World/Asia/KOR/A&D", + "World/North Africa/MAR/A&D", + "World/Latam/MEX/A&D", + "World/South Africa/MOZ/A&D", + "World/South Africa/NGA/A&D", + "World/Europe/NLD/A&D", + "World/Persian Gulf/OMN/A&D", + "World/Latam/PAN/A&D", + "World/Europe/POL/A&D", + "World/Persian Gulf/QAT/A&D", + "World/Asia/THA/A&D", + "World/Pair/USA/A&D", + "World/Latam/VEN/A&D", + "World/Asia/VNM/A&D", + "World/Persian Gulf/YEM/A&D", + "World/Persian Gulf/ARE/Agriculture", + "World/Latam/ARG/Agriculture", + "World/Europe/AUT/Agriculture", + "World/Persian Gulf/AZE/Agriculture", + "World/Asia/BGD/Agriculture", + "World/Latam/BRA/Agriculture", + "World/Latam/CHL/Agriculture", + "World/Pair/CHN/Agriculture", + "World/South Africa/CMR/Agriculture", + "World/Latam/COL/Agriculture", + "World/Latam/CRI/Agriculture", + "World/Europe/DEU/Agriculture", + 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Africa/TUR/Agriculture", + "World/Pair/USA/Agriculture", + "World/Latam/VEN/Agriculture", + "World/Asia/VNM/Agriculture", + "World/Persian Gulf/YEM/Agriculture", + "World/South Africa/ZAF/Agriculture", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Europe/AUT/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/Europe/DEU/Demography", + "World/North Africa/DZA/Demography", + "World/North Africa/EGY/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Europe/GRC/Demography", + "World/Europe/HRV/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/Persian Gulf/IRQ/Demography", + 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Africa/EGY/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/GRC/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/South Africa/NGA/Economy", + "World/Europe/NLD/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/South Africa/SEN/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + 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"World/Europe/GRC/Equality", + "World/Europe/HRV/Equality", + "World/Asia/IND/Equality", + "World/North Africa/ISR/Equality", + "World/Asia/KOR/Equality", + "World/North Africa/MAR/Equality", + "World/Latam/MEX/Equality", + "World/South Africa/MOZ/Equality", + "World/South Africa/NGA/Equality", + "World/Europe/NLD/Equality", + "World/Persian Gulf/OMN/Equality", + "World/Latam/PAN/Equality", + "World/Latam/PER/Equality", + "World/Asia/PHL/Equality", + "World/Europe/POL/Equality", + "World/Persian Gulf/QAT/Equality", + "World/Persian Gulf/SAU/Equality", + "World/South Africa/SEN/Equality", + "World/Europe/SWE/Equality", + "World/Asia/THA/Equality", + "World/North Africa/TUR/Equality", + "World/Pair/USA/Equality", + "World/Latam/VEN/Equality", + "World/Asia/VNM/Equality", + "World/Persian Gulf/YEM/Equality", + "World/South Africa/ZAF/Equality", + "World/Persian Gulf/ARE/Exports", + "World/Europe/AUT/Exports", + "World/Persian Gulf/AZE/Exports", + "World/Asia/BGD/Exports", + 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emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth 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equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita 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health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit 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government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric 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US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise imports (current US$)", + "Merchandise imports 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"Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the 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(% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income 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+ "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane 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tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + 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income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current 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"World/Europe/GRC/Agriculture", + "World/Asia/IDN/Agriculture", + "World/Asia/IND/Agriculture", + "World/Asia/KOR/Agriculture", + "World/South Africa/LBR/Agriculture", + "World/North Africa/MAR/Agriculture", + "World/South Africa/MOZ/Agriculture", + "World/Latam/PAN/Agriculture", + "World/Europe/POL/Agriculture", + "World/Europe/SWE/Agriculture", + "World/North Africa/TUR/Agriculture", + "World/Pair/USA/Agriculture", + "World/Persian Gulf/YEM/Agriculture", + "World/Persian Gulf/ARE/Industry", + "World/Latam/ARG/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Pair/CHN/Industry", + "World/South Africa/CMR/Industry", + "World/Latam/COL/Industry", + "World/Latam/CRI/Industry", + "World/Europe/DEU/Industry", + "World/North Africa/DZA/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/FRA/Industry", + "World/South Africa/GHA/Industry", + "World/Europe/HRV/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", + "World/South Africa/LBR/Industry", + "World/North Africa/MAR/Industry", + "World/Latam/MEX/Industry", + "World/South Africa/MOZ/Industry", + "World/South Africa/NGA/Industry", + "World/Latam/PAN/Industry", + "World/Latam/PER/Industry", + "World/Asia/PHL/Industry", + "World/Europe/POL/Industry", + "World/Persian Gulf/SAU/Industry", + "World/South Africa/SEN/Industry", + "World/Asia/THA/Industry", + "World/North Africa/TUR/Industry", + "World/Pair/USA/Industry", + "World/Latam/VEN/Industry", + "World/Asia/VNM/Industry", + "World/Persian Gulf/YEM/Industry", + "World/South Africa/ZAF/Industry", + "World/Persian Gulf/ARE/Mortality", + "World/Asia/BGD/Mortality", + "World/Pair/CHN/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/DZA/Mortality", + "World/North Africa/EGY/Mortality", + "World/South Africa/GHA/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + 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Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/Europe/AUT/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Pair/CHN/Environment", + "World/Latam/CRI/Environment", + "World/Europe/DEU/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/FRA/Environment", + "World/Europe/GBR/Environment", + "World/Europe/GRC/Environment", + "World/Europe/HRV/Environment", + "World/Asia/IND/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/NGA/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Asia/PHL/Environment", + "World/Europe/POL/Environment", + "World/Persian Gulf/SAU/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/Pair/USA/Environment", + 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+ "World/North Africa/EGY/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/GRC/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/South Africa/NGA/Economy", + "World/Europe/NLD/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/South Africa/SEN/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Europe/AUT/Exports", + "World/Asia/BGD/Exports", + "World/Latam/CHL/Exports", + "World/Pair/CHN/Exports", + "World/South Africa/CMR/Exports", + "World/Latam/CRI/Exports", + "World/Europe/DEU/Exports", + "World/North Africa/DZA/Exports", + "World/Europe/ESP/Exports", + "World/Europe/GBR/Exports", + "World/Europe/GRC/Exports", + "World/Europe/HRV/Exports", + "World/Asia/IND/Exports", + "World/North Africa/ISR/Exports", + "World/Asia/KOR/Exports", + "World/North Africa/MAR/Exports", + "World/Latam/MEX/Exports", + "World/South Africa/NGA/Exports", + "World/Europe/NLD/Exports", + "World/Persian Gulf/OMN/Exports", + "World/Latam/PAN/Exports", + "World/Europe/POL/Exports", + "World/Persian Gulf/QAT/Exports", + "World/Persian Gulf/SAU/Exports", + "World/Europe/SWE/Exports", + "World/Asia/THA/Exports", + "World/Pair/USA/Exports", + "World/South Africa/ZAF/Exports", + "World/Persian Gulf/ARE/Imports", + "World/Europe/AUT/Imports", + "World/Persian Gulf/AZE/Imports", 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Gulf/YEM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Mortality", + "World/Latam/ARG/Mortality", + "World/Persian Gulf/AZE/Mortality", + "World/Asia/BGD/Mortality", + "World/Latam/CHL/Mortality", + "World/Pair/CHN/Mortality", + "World/South Africa/CMR/Mortality", + "World/Latam/COL/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/EGY/Mortality", + "World/Europe/ESP/Mortality", + "World/Europe/GBR/Mortality", + "World/South Africa/GHA/Mortality", + "World/Europe/GRC/Mortality", + "World/Europe/HRV/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/ISR/Mortality", + "World/Asia/KOR/Mortality", + "World/South Africa/LBR/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + "World/South Africa/MOZ/Mortality", + "World/South Africa/NGA/Mortality", + "World/Europe/NLD/Mortality", + "World/Latam/PAN/Mortality", + "World/Latam/PER/Mortality", + "World/Asia/PHL/Mortality", + "World/Europe/POL/Mortality", + "World/Persian Gulf/QAT/Mortality", + "World/Persian Gulf/SAU/Mortality", + "World/South Africa/SEN/Mortality", + "World/Asia/THA/Mortality", + "World/North Africa/TUR/Mortality", + "World/Pair/USA/Mortality", + "World/Asia/VNM/Mortality", + "World/Persian Gulf/YEM/Mortality", + "World/Persian Gulf/ARE/Health", + "World/Latam/ARG/Health", + "World/Persian Gulf/AZE/Health", + "World/Asia/BGD/Health", + "World/Latam/CHL/Health", + "World/Pair/CHN/Health", + "World/South Africa/CMR/Health", + "World/Latam/COL/Health", + "World/Latam/CRI/Health", + "World/North Africa/EGY/Health", + "World/Europe/ESP/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/GRC/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/Asia/IND/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/South Africa/LBR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/South Africa/NGA/Health", + "World/Europe/NLD/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Europe/POL/Health", + "World/Persian Gulf/QAT/Health", + "World/Persian Gulf/SAU/Health", + "World/South Africa/SEN/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Pair/USA/Health", + "World/Latam/VEN/Health", + "World/Asia/VNM/Health", + "World/Persian Gulf/YEM/Health", + "World/Persian Gulf/ARE/Industry", + "World/Latam/ARG/Industry", + "World/Europe/AUT/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Latam/BRA/Industry", + "World/Pair/CHN/Industry", + "World/Latam/COL/Industry", + "World/Latam/CRI/Industry", + "World/North Africa/DZA/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/GBR/Industry", + "World/South Africa/GHA/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", 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Africa/DZA/Health", + "World/Europe/ESP/Health", + "World/Europe/FRA/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/Europe/NLD/Health", + "World/Persian Gulf/OMN/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Persian Gulf/QAT/Health", + "World/South Africa/SEN/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Asia/VNM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/Latam/MEX/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Asia/THA/Economy", + "World/Pair/USA/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Persian Gulf/ARE/Mortality", + "World/Latam/ARG/Mortality", + "World/Persian Gulf/AZE/Mortality", + "World/Asia/BGD/Mortality", + "World/Latam/CHL/Mortality", + "World/Pair/CHN/Mortality", + "World/South Africa/CMR/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/DZA/Mortality", + "World/North Africa/EGY/Mortality", + "World/Europe/ESP/Mortality", + "World/Europe/GBR/Mortality", + "World/South Africa/GHA/Mortality", + "World/Europe/HRV/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/ISR/Mortality", + "World/Asia/KOR/Mortality", + "World/South Africa/LBR/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + "World/South Africa/MOZ/Mortality", + "World/South Africa/NGA/Mortality", + "World/Europe/NLD/Mortality", + "World/Latam/PAN/Mortality", + "World/Latam/PER/Mortality", + "World/Asia/PHL/Mortality", + "World/Europe/POL/Mortality", + "World/Persian Gulf/QAT/Mortality", + "World/Persian Gulf/SAU/Mortality", + "World/South Africa/SEN/Mortality", + "World/Asia/THA/Mortality", + "World/North Africa/TUR/Mortality", + "World/Pair/USA/Mortality", + "World/Asia/VNM/Mortality", + "World/Persian Gulf/YEM/Mortality", + "World/Persian Gulf/ARE/Exports", + "World/Europe/AUT/Exports", + "World/Persian Gulf/AZE/Exports", + "World/Asia/BGD/Exports", + "World/Latam/BRA/Exports", + "World/Latam/CHL/Exports", + "World/Pair/CHN/Exports", + "World/Latam/COL/Exports", + "World/Latam/CRI/Exports", + "World/Europe/DEU/Exports", + "World/North Africa/EGY/Exports", + "World/Europe/ESP/Exports", + 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Africa/MOZ/R&D", + "World/South Africa/NGA/R&D", + "World/Latam/PAN/R&D", + "World/Latam/PER/R&D", + "World/Asia/PHL/R&D", + "World/Europe/POL/R&D", + "World/South Africa/SEN/R&D", + "World/Asia/THA/R&D", + "World/North Africa/TUR/R&D", + "World/Latam/VEN/R&D", + "World/Asia/VNM/R&D", + "World/Persian Gulf/YEM/R&D", + "World/South Africa/ZAF/R&D", + "World/Latam/ARG/R&D", + "World/Asia/BGD/R&D", + "World/Latam/CHL/R&D", + "World/South Africa/CMR/R&D", + "World/Latam/COL/R&D", + "World/Latam/CRI/R&D", + "World/North Africa/EGY/R&D", + "World/South Africa/GHA/R&D", + "World/Europe/GRC/R&D", + "World/Asia/IDN/R&D", + "World/Asia/IND/R&D", + "World/North Africa/MAR/R&D", + "World/Latam/MEX/R&D", + "World/South Africa/MOZ/R&D", + "World/South Africa/NGA/R&D", + "World/Latam/PAN/R&D", + "World/Latam/PER/R&D", + "World/Asia/PHL/R&D", + "World/Europe/POL/R&D", + "World/South Africa/SEN/R&D", + "World/North Africa/TUR/R&D", + "World/Latam/VEN/R&D", + "World/Asia/VNM/R&D", + "World/South Africa/ZAF/R&D", + "World/Persian Gulf/ARE/A&D", + "World/Latam/ARG/A&D", + "World/Europe/AUT/A&D", + "World/Persian Gulf/AZE/A&D", + "World/Asia/BGD/A&D", + "World/Latam/BRA/A&D", + "World/Latam/CHL/A&D", + "World/Pair/CHN/A&D", + "World/Latam/CRI/A&D", + "World/North Africa/EGY/A&D", + "World/Europe/GBR/A&D", + "World/South Africa/GHA/A&D", + "World/Europe/HRV/A&D", + "World/Asia/IND/A&D", + "World/North Africa/ISR/A&D", + "World/Asia/KOR/A&D", + "World/North Africa/MAR/A&D", + "World/Latam/MEX/A&D", + "World/South Africa/MOZ/A&D", + "World/South Africa/NGA/A&D", + "World/Europe/NLD/A&D", + "World/Persian Gulf/OMN/A&D", + "World/Latam/PAN/A&D", + "World/Europe/POL/A&D", + "World/Persian Gulf/QAT/A&D", + "World/Asia/THA/A&D", + "World/Pair/USA/A&D", + "World/Latam/VEN/A&D", + "World/Asia/VNM/A&D", + "World/Persian Gulf/YEM/A&D", + "World/Persian Gulf/ARE/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Latam/BRA/Industry", + "World/Latam/CHL/Industry", + "World/Pair/CHN/Industry", + "World/South Africa/CMR/Industry", + "World/Latam/CRI/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/HRV/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", + "World/North Africa/MAR/Industry", + "World/Latam/MEX/Industry", + "World/South Africa/MOZ/Industry", + "World/South Africa/NGA/Industry", + "World/Persian Gulf/OMN/Industry", + "World/Asia/PHL/Industry", + "World/Europe/POL/Industry", + "World/Persian Gulf/SAU/Industry", + "World/Asia/THA/Industry", + "World/Asia/VNM/Industry", + "World/Persian Gulf/ARE/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Latam/CHL/Environment", + "World/Pair/CHN/Environment", + "World/Latam/CRI/Environment", + "World/North Africa/DZA/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/GBR/Environment", + "World/Europe/HRV/Environment", + "World/Asia/IND/Environment", + "World/Persian Gulf/IRQ/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/North Africa/MAR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/MOZ/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Asia/PHL/Environment", + "World/Persian Gulf/QAT/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/North Africa/TUR/Environment", + "World/Pair/USA/Environment", + "World/Asia/VNM/Environment", + "World/Persian Gulf/YEM/Environment", + "World/South Africa/ZAF/Environment", + "World/Persian Gulf/ARE/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Latam/BRA/Environment", + "World/Latam/CHL/Environment", + "World/Pair/CHN/Environment", + "World/South Africa/CMR/Environment", + "World/Latam/COL/Environment", + "World/Latam/CRI/Environment", + "World/Europe/DEU/Environment", + "World/North Africa/DZA/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/GBR/Environment", + "World/South Africa/GHA/Environment", + "World/Europe/GRC/Environment", + "World/Asia/IDN/Environment", + "World/Asia/IND/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/South Africa/LBR/Environment", + "World/North Africa/MAR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/MOZ/Environment", + "World/South Africa/NGA/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Latam/PER/Environment", + "World/Asia/PHL/Environment", + "World/Persian Gulf/QAT/Environment", + "World/Persian Gulf/SAU/Environment", + "World/South Africa/SEN/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/North Africa/TUR/Environment", + "World/Asia/VNM/Environment", + "World/South Africa/ZAF/Environment", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/BRA/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/Latam/CRI/Economy", + "World/North Africa/DZA/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/BRA/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/Latam/CRI/Economy", + "World/North Africa/DZA/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Latam/ARG/Health", + "World/Europe/AUT/Health", + "World/Persian Gulf/AZE/Health", + "World/Asia/BGD/Health", + "World/Latam/BRA/Health", + "World/Latam/CHL/Health", + "World/Pair/CHN/Health", + "World/South Africa/CMR/Health", + "World/Latam/COL/Health", + "World/Latam/CRI/Health", + "World/Europe/DEU/Health", + "World/North Africa/DZA/Health", + "World/North Africa/EGY/Health", + "World/Europe/ESP/Health", + "World/Europe/FRA/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/GRC/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/Asia/IND/Health", + "World/Persian Gulf/IRQ/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/South Africa/LBR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/South Africa/NGA/Health", + "World/Europe/NLD/Health", + "World/Persian Gulf/OMN/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Europe/POL/Health", + "World/Persian Gulf/QAT/Health", + "World/South Africa/SEN/Health", + "World/Europe/SWE/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Pair/USA/Health", + "World/Latam/VEN/Health", + "World/Asia/VNM/Health", + "World/Persian Gulf/YEM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/North Africa/DZA/Demography", + "World/North Africa/EGY/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/North Africa/ISR/Demography", + "World/Asia/KOR/Demography", + "World/South Africa/LBR/Demography", + "World/North Africa/MAR/Demography", + "World/Latam/MEX/Demography", + "World/South Africa/MOZ/Demography", + "World/South Africa/NGA/Demography", + "World/Europe/NLD/Demography", + "World/Persian Gulf/OMN/Demography", + "World/Latam/PAN/Demography", + "World/Latam/PER/Demography", + "World/Asia/PHL/Demography", + "World/Europe/POL/Demography", + "World/Persian Gulf/QAT/Demography", + "World/Persian Gulf/SAU/Demography", + "World/South Africa/SEN/Demography", + "World/Asia/THA/Demography", + "World/North Africa/TUR/Demography", + "World/Pair/USA/Demography", + "World/Latam/VEN/Demography", + "World/Asia/VNM/Demography", + "World/Persian Gulf/YEM/Demography", + "World/South Africa/ZAF/Demography", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/Europe/DEU/Demography", + "World/North Africa/DZA/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Europe/GRC/Demography", + "World/Europe/HRV/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/Persian Gulf/IRQ/Demography", + "World/North Africa/ISR/Demography", + "World/South Africa/LBR/Demography", + "World/North Africa/MAR/Demography", + "World/Latam/MEX/Demography", + "World/South Africa/MOZ/Demography", + "World/South Africa/NGA/Demography", + "World/Europe/NLD/Demography", + "World/Persian Gulf/OMN/Demography", + "World/Latam/PAN/Demography", + "World/Latam/PER/Demography", + "World/Europe/POL/Demography", + "World/Persian Gulf/QAT/Demography", + "World/Persian Gulf/SAU/Demography", + "World/South Africa/SEN/Demography", + "World/Asia/THA/Demography", + "World/North Africa/TUR/Demography", + "World/Pair/USA/Demography", + "World/Latam/VEN/Demography", + "World/Asia/VNM/Demography", + "World/Persian Gulf/YEM/Demography", + "World/South Africa/ZAF/Demography", + "World/Europe/AUT/Equality", + "World/Persian Gulf/AZE/Equality", + "World/Asia/BGD/Equality", + "World/Latam/CHL/Equality", + "World/Pair/CHN/Equality", + "World/Latam/COL/Equality", + "World/Latam/CRI/Equality", + "World/Europe/DEU/Equality", + "World/North Africa/DZA/Equality", + "World/North Africa/EGY/Equality", + "World/Europe/GBR/Equality", + "World/South Africa/GHA/Equality", + "World/Europe/HRV/Equality", + "World/Asia/IND/Equality", + "World/North Africa/ISR/Equality", + "World/Asia/KOR/Equality", + "World/North Africa/MAR/Equality", + "World/Latam/MEX/Equality", + "World/South Africa/MOZ/Equality", + "World/South Africa/NGA/Equality", + "World/Europe/NLD/Equality", + "World/Latam/PAN/Equality", + "World/Latam/PER/Equality", + "World/Asia/PHL/Equality", + "World/Europe/POL/Equality", + "World/Persian Gulf/SAU/Equality", + "World/Europe/SWE/Equality", + "World/Asia/THA/Equality", + "World/North Africa/TUR/Equality", + "World/Latam/VEN/Equality", + "World/Asia/VNM/Equality", + "World/Persian Gulf/YEM/Equality", + "World/South Africa/ZAF/Equality", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/Latam/CRI", + "World/North Africa/EGY", + "World/Europe/GBR", + "World/South Africa/GHA", + "World/Europe/HRV", + "World/Asia/IND", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Asia/THA", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/Europe/DEU", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/Europe/ESP", + "World/Europe/FRA", + "World/South Africa/GHA", + "World/Europe/GRC", + "World/Europe/HRV", + "World/Asia/IDN", + "World/Asia/IND", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Persian Gulf/SAU", + "World/South Africa/SEN", + "World/Europe/SWE", + "World/Asia/THA", + "World/North Africa/TUR", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/South Africa/ZAF", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/Europe/DEU", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/Europe/ESP", + "World/Europe/FRA", + "World/Europe/GBR", + "World/South Africa/GHA", + "World/Europe/GRC", + "World/Europe/HRV", + "World/Asia/IDN", + "World/Asia/IND", + "World/Persian Gulf/IRQ", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Persian Gulf/SAU", + "World/South Africa/SEN", + "World/Europe/SWE", + "World/Asia/THA", + "World/North Africa/TUR", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/South Africa/ZAF", + "World/Latam/ARG", + "World/Asia/BGD", + "World/Latam/BRA", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/South Africa/GHA", + "World/Asia/IND", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/North Africa/TUR", + 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"World/Asia/PHL/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/South Africa/SEN/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Asia/THA/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/North Africa/TUR/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Asia/VNM/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Persian Gulf/YEM/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/South Africa/ZAF/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Persian Gulf/AZE/Environment/Access to electricity (% of population)", + "World/Asia/BGD/Environment/Access to electricity (% of population)", + "World/Latam/BRA/Environment/Access to electricity (% of population)", + "World/Latam/CHL/Environment/Access to electricity (% of population)", + "World/Pair/CHN/Environment/Access to electricity (% of population)", + "World/South Africa/CMR/Environment/Access to electricity (% of population)", + "World/Latam/COL/Environment/Access to electricity (% of population)", + "World/Latam/CRI/Environment/Access to electricity (% of population)", + "World/North Africa/EGY/Environment/Access to electricity (% of population)", + "World/South Africa/GHA/Environment/Access to electricity (% of population)", + "World/Asia/IDN/Environment/Access to electricity (% of population)", + "World/Asia/IND/Environment/Access to electricity (% of population)", + "World/Persian Gulf/IRQ/Environment/Access to electricity (% of population)", + "World/South Africa/LBR/Environment/Access to electricity (% of population)", + "World/North Africa/MAR/Environment/Access to electricity (% of population)", + "World/Latam/MEX/Environment/Access to electricity (% of population)", + "World/South Africa/MOZ/Environment/Access to electricity (% of population)", + "World/South Africa/NGA/Environment/Access to electricity (% of population)", + "World/Latam/PAN/Environment/Access to electricity (% of population)", + "World/Latam/PER/Environment/Access to electricity (% of population)", + "World/Asia/PHL/Environment/Access to electricity (% of population)", + "World/South Africa/SEN/Environment/Access to electricity (% of population)", + "World/Asia/THA/Environment/Access to electricity (% of population)", + "World/Asia/VNM/Environment/Access to electricity (% of population)", + "World/Persian Gulf/YEM/Environment/Access to electricity (% of population)", + "World/South Africa/ZAF/Environment/Access to electricity (% of population)", + "World/Persian Gulf/ARE/Economy/Adjusted net national income (current US$)", + "World/Latam/ARG/Economy/Adjusted net national income (current US$)", + "World/Europe/AUT/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted net national income (current US$)", + "World/Asia/BGD/Economy/Adjusted net national income (current US$)", + "World/Latam/BRA/Economy/Adjusted net national income (current US$)", + "World/Latam/CHL/Economy/Adjusted net national income (current US$)", + "World/Pair/CHN/Economy/Adjusted net national income (current US$)", + "World/South Africa/CMR/Economy/Adjusted net national income (current US$)", + "World/Latam/COL/Economy/Adjusted net national income (current US$)", + "World/Latam/CRI/Economy/Adjusted net national income (current US$)", + "World/Europe/DEU/Economy/Adjusted net national income (current US$)", + "World/North Africa/DZA/Economy/Adjusted net national income (current US$)", + "World/North Africa/EGY/Economy/Adjusted net national income (current US$)", + "World/Europe/ESP/Economy/Adjusted net national income (current US$)", + "World/Europe/FRA/Economy/Adjusted net national income (current US$)", + "World/Europe/GBR/Economy/Adjusted net national income (current US$)", + "World/South Africa/GHA/Economy/Adjusted net national income (current US$)", + "World/Europe/HRV/Economy/Adjusted net national income (current US$)", + "World/Asia/IDN/Economy/Adjusted net national income (current US$)", + "World/Asia/IND/Economy/Adjusted net national income (current US$)", + "World/North Africa/ISR/Economy/Adjusted net national income (current US$)", + "World/Asia/KOR/Economy/Adjusted net national income (current US$)", + "World/South Africa/LBR/Economy/Adjusted net national income (current US$)", + "World/North Africa/MAR/Economy/Adjusted net national income (current US$)", + "World/Latam/MEX/Economy/Adjusted net national income (current US$)", + "World/South Africa/MOZ/Economy/Adjusted net national income (current US$)", + "World/South Africa/NGA/Economy/Adjusted net national income (current US$)", + "World/Europe/NLD/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted net national income (current US$)", + "World/Latam/PAN/Economy/Adjusted net national income (current US$)", + "World/Latam/PER/Economy/Adjusted net national income (current US$)", + "World/Asia/PHL/Economy/Adjusted net national income (current US$)", + "World/Europe/POL/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted net national income (current US$)", + "World/South Africa/SEN/Economy/Adjusted net national income (current US$)", + "World/Europe/SWE/Economy/Adjusted net national income (current US$)", + "World/Asia/THA/Economy/Adjusted net national income (current US$)", + "World/North Africa/TUR/Economy/Adjusted net national income (current US$)", + "World/Pair/USA/Economy/Adjusted net national income (current US$)", + "World/Latam/VEN/Economy/Adjusted net national income (current US$)", + "World/Asia/VNM/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted net national income (current US$)", + "World/South Africa/ZAF/Economy/Adjusted net national income (current US$)", + "World/Latam/ARG/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/AUT/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/BGD/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/BRA/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/CHL/Economy/Adjusted net national income per capita (current US$)", + "World/Pair/CHN/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/CMR/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/COL/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/CRI/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/DEU/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/DZA/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/EGY/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/ESP/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/FRA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/GBR/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/GHA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/HRV/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/IDN/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/IND/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/IRQ/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/ISR/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/KOR/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/MAR/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/MEX/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/MOZ/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/NGA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/NLD/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/PAN/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/PER/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/PHL/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/POL/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/SEN/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/SWE/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/THA/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/TUR/Economy/Adjusted net national income per capita (current US$)", + "World/Pair/USA/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/VEN/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/VNM/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/ZAF/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/COL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/IND/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/PER/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/POL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/THA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Pair/USA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/COL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/ESP/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/HRV/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/IND/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/PER/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/POL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/SWE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/THA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Pair/USA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/COL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/ESP/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/HRV/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/IND/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/PER/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/POL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/SWE/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/THA/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Pair/USA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: net national savings (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/IND/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: net national savings (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/PER/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/POL/Economy/Adjusted savings: net national savings (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: net national savings (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/THA/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: net national savings (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/COL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/IND/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/THA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/ARE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/ARG/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/AUT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/AZE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/BGD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/BRA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/CHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Pair/CHN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/CMR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/COL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/CRI/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/DEU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/EGY/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/GBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/GHA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/GRC/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/HRV/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/IND/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/ISR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/KOR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/LBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/MAR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/MEX/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/MOZ/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/NGA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/NLD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/OMN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/PAN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/PER/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/PHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/POL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/QAT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/SAU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/SEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/SWE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/TUR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Pair/USA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/VEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/VNM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/YEM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/AUT/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Agricultural land (% of land area)", + "World/Asia/BGD/Agriculture/Agricultural land (% of land area)", + "World/Latam/BRA/Agriculture/Agricultural land (% of land area)", + "World/Pair/CHN/Agriculture/Agricultural land (% of land area)", + "World/South Africa/CMR/Agriculture/Agricultural land (% of land area)", + "World/Latam/CRI/Agriculture/Agricultural land (% of land area)", + "World/Europe/DEU/Agriculture/Agricultural land (% of land area)", + "World/North Africa/DZA/Agriculture/Agricultural land (% of land area)", + "World/North Africa/EGY/Agriculture/Agricultural land (% of land area)", + "World/Europe/ESP/Agriculture/Agricultural land (% of land area)", + "World/Europe/FRA/Agriculture/Agricultural land (% of land area)", + "World/Europe/GRC/Agriculture/Agricultural land (% of land area)", + "World/Asia/IDN/Agriculture/Agricultural land (% of land area)", + "World/Asia/IND/Agriculture/Agricultural land (% of land area)", + "World/North Africa/ISR/Agriculture/Agricultural land (% of land area)", + "World/Asia/KOR/Agriculture/Agricultural land (% of land area)", + "World/South Africa/LBR/Agriculture/Agricultural land (% of land area)", + "World/South Africa/MOZ/Agriculture/Agricultural land (% of land area)", + "World/South Africa/NGA/Agriculture/Agricultural land (% of land area)", + "World/Europe/NLD/Agriculture/Agricultural land (% of land area)", + "World/Latam/PAN/Agriculture/Agricultural land (% of land area)", + "World/Asia/PHL/Agriculture/Agricultural land (% of land area)", + "World/Europe/POL/Agriculture/Agricultural land (% of land area)", + "World/Europe/SWE/Agriculture/Agricultural land (% of land area)", + "World/North Africa/TUR/Agriculture/Agricultural land (% of land area)", + "World/Pair/USA/Agriculture/Agricultural land (% of land area)", + "World/Latam/VEN/Agriculture/Agricultural land (% of land area)", + "World/Asia/VNM/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/ARE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/AUT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/HRV/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/MEX/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/SAU/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/TUR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/BRA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/NLD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/USA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/AUT/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/BRA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/CHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/COL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/DZA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/EGY/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/GRC/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/HRV/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/IDN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/KOR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/MAR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/MEX/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/PHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/POL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/THA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/TUR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Pair/USA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/VEN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/VNM/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/BGD/Agriculture/Aquaculture production (metric tons)", + "World/Latam/BRA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/CHL/Agriculture/Aquaculture production (metric tons)", + "World/Pair/CHN/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/CMR/Agriculture/Aquaculture production (metric tons)", + "World/Latam/COL/Agriculture/Aquaculture production (metric tons)", + "World/Latam/CRI/Agriculture/Aquaculture production (metric tons)", + "World/North Africa/EGY/Agriculture/Aquaculture production (metric tons)", + "World/Europe/FRA/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/GHA/Agriculture/Aquaculture production (metric tons)", + "World/Asia/IDN/Agriculture/Aquaculture production (metric tons)", + "World/Asia/IND/Agriculture/Aquaculture production (metric tons)", + "World/Asia/KOR/Agriculture/Aquaculture production (metric tons)", + "World/Latam/MEX/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/NGA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/PER/Agriculture/Aquaculture production (metric tons)", + "World/Asia/PHL/Agriculture/Aquaculture production (metric tons)", + "World/Europe/POL/Agriculture/Aquaculture production (metric tons)", + "World/Persian Gulf/SAU/Agriculture/Aquaculture production (metric tons)", + "World/North Africa/TUR/Agriculture/Aquaculture production (metric tons)", + "World/Pair/USA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/VEN/Agriculture/Aquaculture production (metric tons)", + "World/Asia/VNM/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/ZAF/Agriculture/Aquaculture production (metric tons)", + "World/Europe/AUT/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Arable land (% of land area)", + "World/Asia/BGD/Agriculture/Arable land (% of land area)", + "World/Latam/BRA/Agriculture/Arable land (% of land area)", + "World/Latam/CHL/Agriculture/Arable land (% of land area)", + "World/Pair/CHN/Agriculture/Arable land (% of land area)", + "World/South Africa/CMR/Agriculture/Arable land (% of land area)", + "World/Latam/COL/Agriculture/Arable land (% of land area)", + "World/Latam/CRI/Agriculture/Arable land (% of land area)", + "World/South Africa/GHA/Agriculture/Arable land (% of land area)", + "World/Europe/GRC/Agriculture/Arable land (% of land area)", + "World/Asia/IDN/Agriculture/Arable land (% of land area)", + "World/Asia/IND/Agriculture/Arable land (% of land area)", + "World/Asia/KOR/Agriculture/Arable land (% of land area)", + "World/South Africa/LBR/Agriculture/Arable land (% of land area)", + "World/North Africa/MAR/Agriculture/Arable land (% of land area)", + "World/South Africa/MOZ/Agriculture/Arable land (% of land area)", + "World/Latam/PAN/Agriculture/Arable land (% of land area)", + "World/Europe/POL/Agriculture/Arable land (% of land area)", + "World/Europe/SWE/Agriculture/Arable land (% of land area)", + "World/North Africa/TUR/Agriculture/Arable land (% of land area)", + "World/Pair/USA/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/ARE/Agriculture/Arable land (hectares per person)", + "World/Latam/ARG/Agriculture/Arable land (hectares per person)", + "World/Europe/AUT/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/AZE/Agriculture/Arable land (hectares per person)", + "World/Asia/BGD/Agriculture/Arable land (hectares per person)", + "World/Latam/CHL/Agriculture/Arable land (hectares per person)", + "World/Pair/CHN/Agriculture/Arable land (hectares per person)", + "World/South Africa/CMR/Agriculture/Arable land (hectares per person)", + "World/Latam/COL/Agriculture/Arable land (hectares per person)", + "World/North Africa/DZA/Agriculture/Arable land (hectares per person)", + "World/North Africa/EGY/Agriculture/Arable land (hectares per person)", + "World/Europe/ESP/Agriculture/Arable land (hectares per person)", + "World/Europe/FRA/Agriculture/Arable land (hectares per person)", + "World/South Africa/GHA/Agriculture/Arable land (hectares per person)", + "World/Europe/GRC/Agriculture/Arable land (hectares per person)", + "World/Asia/IND/Agriculture/Arable land (hectares per person)", + "World/Asia/KOR/Agriculture/Arable land (hectares per person)", + "World/South Africa/LBR/Agriculture/Arable land (hectares per person)", + "World/North Africa/MAR/Agriculture/Arable land (hectares per person)", + "World/Latam/MEX/Agriculture/Arable land (hectares per person)", + "World/South Africa/MOZ/Agriculture/Arable land (hectares per person)", + "World/South Africa/NGA/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/OMN/Agriculture/Arable land (hectares per person)", + "World/Latam/PAN/Agriculture/Arable land (hectares per person)", + "World/Latam/PER/Agriculture/Arable land (hectares per person)", + "World/Asia/PHL/Agriculture/Arable land (hectares per person)", + "World/Europe/POL/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/QAT/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/SAU/Agriculture/Arable land (hectares per person)", + "World/Europe/SWE/Agriculture/Arable land (hectares per person)", + "World/North Africa/TUR/Agriculture/Arable land (hectares per person)", + "World/Pair/USA/Agriculture/Arable land (hectares per person)", + "World/Latam/VEN/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/YEM/Agriculture/Arable land (hectares per person)", + "World/South Africa/ZAF/Agriculture/Arable land (hectares per person)", + "World/Europe/AUT/Agriculture/Arable land (hectares)", + "World/Persian Gulf/AZE/Agriculture/Arable land (hectares)", + "World/Asia/BGD/Agriculture/Arable land (hectares)", + "World/Latam/BRA/Agriculture/Arable land (hectares)", + "World/Latam/CHL/Agriculture/Arable land (hectares)", + "World/Pair/CHN/Agriculture/Arable land (hectares)", + "World/South Africa/CMR/Agriculture/Arable land (hectares)", + "World/Latam/COL/Agriculture/Arable land (hectares)", + "World/Latam/CRI/Agriculture/Arable land (hectares)", + "World/South Africa/GHA/Agriculture/Arable land (hectares)", + "World/Europe/GRC/Agriculture/Arable land (hectares)", + "World/Asia/IDN/Agriculture/Arable land (hectares)", + "World/Asia/IND/Agriculture/Arable land (hectares)", + "World/Asia/KOR/Agriculture/Arable land (hectares)", + "World/South Africa/LBR/Agriculture/Arable land (hectares)", + "World/North Africa/MAR/Agriculture/Arable land (hectares)", + "World/South Africa/MOZ/Agriculture/Arable land (hectares)", + "World/Latam/PAN/Agriculture/Arable land (hectares)", + "World/Europe/POL/Agriculture/Arable land (hectares)", + "World/Europe/SWE/Agriculture/Arable land (hectares)", + "World/North Africa/TUR/Agriculture/Arable land (hectares)", + "World/Pair/USA/Agriculture/Arable land (hectares)", + "World/Persian Gulf/YEM/Agriculture/Arable land (hectares)", + "World/Persian Gulf/ARE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/ARG/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/AZE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/BGD/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Pair/CHN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/CMR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/COL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/CRI/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/DEU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/DZA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/EGY/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/FRA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/GHA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/HRV/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/IDN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/IND/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/ISR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/LBR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/MAR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/MEX/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/MOZ/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/NGA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/PAN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/PER/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/PHL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/POL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/SAU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/SEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/THA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/TUR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Pair/USA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/VEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/VNM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/YEM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/ZAF/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/ARE/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/BGD/Mortality/Births attended by skilled health staff (% of total)", + "World/Pair/CHN/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/CRI/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/DZA/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/EGY/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/GHA/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/IDN/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/IND/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/MAR/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/MEX/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/MOZ/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/PER/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/PHL/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/SAU/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/TUR/Mortality/Births attended by skilled health staff (% of total)", + "World/Pair/USA/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/VNM/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/YEM/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/ZAF/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/ARE/Economy/Broad money (% of GDP)", + "World/Latam/ARG/Economy/Broad money (% of GDP)", + "World/Persian Gulf/AZE/Economy/Broad money (% of GDP)", + "World/Asia/BGD/Economy/Broad money (% of GDP)", + "World/Latam/BRA/Economy/Broad money (% of GDP)", + "World/Pair/CHN/Economy/Broad money (% of GDP)", + "World/South Africa/CMR/Economy/Broad money (% of GDP)", + "World/North Africa/DZA/Economy/Broad money (% of GDP)", + "World/Europe/GBR/Economy/Broad money (% of GDP)", + "World/Europe/HRV/Economy/Broad money (% of GDP)", + "World/Asia/IND/Economy/Broad money (% of GDP)", + "World/North Africa/ISR/Economy/Broad money (% of GDP)", + "World/Asia/KOR/Economy/Broad money (% of GDP)", + "World/North Africa/MAR/Economy/Broad money (% of GDP)", + "World/Latam/MEX/Economy/Broad money (% of GDP)", + "World/South Africa/MOZ/Economy/Broad money (% of GDP)", + "World/Latam/PER/Economy/Broad money (% of GDP)", + "World/Asia/PHL/Economy/Broad money (% of GDP)", + "World/Europe/POL/Economy/Broad money (% of GDP)", + "World/Persian Gulf/QAT/Economy/Broad money (% of GDP)", + "World/South Africa/SEN/Economy/Broad money (% of GDP)", + "World/North Africa/TUR/Economy/Broad money (% of GDP)", + "World/Pair/USA/Economy/Broad money (% of GDP)", + "World/Latam/VEN/Economy/Broad money (% of GDP)", + "World/Asia/VNM/Economy/Broad money (% of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/PHL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/VNM/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/PHL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/VNM/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/ARG/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/BRA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/CHL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/COL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/ESP/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/IDN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/MAR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/PER/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/TUR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/South Africa/ZAF/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/ARE/Environment/CO2 emissions (kt)", + "World/Latam/ARG/Environment/CO2 emissions (kt)", + "World/Asia/BGD/Environment/CO2 emissions (kt)", + "World/Latam/BRA/Environment/CO2 emissions (kt)", + "World/Latam/CHL/Environment/CO2 emissions (kt)", + "World/Pair/CHN/Environment/CO2 emissions (kt)", + "World/Latam/COL/Environment/CO2 emissions (kt)", + "World/Latam/CRI/Environment/CO2 emissions (kt)", + "World/Europe/DEU/Environment/CO2 emissions (kt)", + "World/North Africa/DZA/Environment/CO2 emissions (kt)", + "World/North Africa/EGY/Environment/CO2 emissions (kt)", + "World/Europe/GBR/Environment/CO2 emissions (kt)", + "World/South Africa/GHA/Environment/CO2 emissions (kt)", + "World/Asia/IDN/Environment/CO2 emissions (kt)", + "World/Asia/IND/Environment/CO2 emissions (kt)", + "World/Asia/KOR/Environment/CO2 emissions (kt)", + "World/South Africa/LBR/Environment/CO2 emissions (kt)", + "World/North Africa/MAR/Environment/CO2 emissions (kt)", + "World/Latam/MEX/Environment/CO2 emissions (kt)", + "World/South Africa/MOZ/Environment/CO2 emissions (kt)", + "World/South Africa/NGA/Environment/CO2 emissions (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kt)", + "World/Latam/PAN/Environment/CO2 emissions (kt)", + "World/Latam/PER/Environment/CO2 emissions (kt)", + "World/Asia/PHL/Environment/CO2 emissions (kt)", + "World/Persian Gulf/QAT/Environment/CO2 emissions (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kt)", + "World/South Africa/SEN/Environment/CO2 emissions (kt)", + "World/Europe/SWE/Environment/CO2 emissions (kt)", + "World/Asia/THA/Environment/CO2 emissions (kt)", + "World/North Africa/TUR/Environment/CO2 emissions (kt)", + "World/Asia/VNM/Environment/CO2 emissions (kt)", + "World/South Africa/ZAF/Environment/CO2 emissions (kt)", + "World/Asia/BGD/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/BRA/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/CHL/Environment/CO2 emissions (metric tons per capita)", + "World/Pair/CHN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/CRI/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/DEU/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/DZA/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/EGY/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/GBR/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/GHA/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/GRC/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/IDN/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/IND/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/ISR/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/KOR/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/MAR/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/MOZ/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/NLD/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/PAN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/PER/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/PHL/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/SEN/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/SWE/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/THA/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/TUR/Environment/CO2 emissions (metric tons per capita)", + "World/Pair/USA/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/VNM/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/ARG/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/AZE/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/BGD/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/BRA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Pair/CHN/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/COL/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/DZA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/EGY/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/ESP/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/IND/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/ISR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/KOR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/MAR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/MEX/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/South Africa/NGA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/NLD/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/PER/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/POL/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/QAT/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/THA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/TUR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Pair/USA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/VNM/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/BGD/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/BRA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/CHL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Pair/CHN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/CMR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/CRI/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/DZA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/EGY/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/GBR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/GHA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/IDN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/IND/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/MAR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/MOZ/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/NLD/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/PAN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/PER/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/PHL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/POL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/THA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/VNM/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Europe/AUT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/BGD/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/BRA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/CHL/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Pair/CHN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/CMR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/IDN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/IND/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/KOR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/North Africa/MAR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/MEX/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/NGA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/QAT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/SEN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/VNM/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/ARE/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/AZE/Industry/Capture fisheries production (metric tons)", + "World/Asia/BGD/Industry/Capture fisheries production (metric tons)", + "World/Latam/CHL/Industry/Capture fisheries production (metric tons)", + "World/South Africa/CMR/Industry/Capture fisheries production (metric tons)", + "World/Latam/CRI/Industry/Capture fisheries production (metric tons)", + "World/Europe/GRC/Industry/Capture fisheries production (metric tons)", + "World/Europe/HRV/Industry/Capture fisheries production (metric tons)", + "World/Asia/IDN/Industry/Capture fisheries production (metric tons)", + "World/Asia/IND/Industry/Capture fisheries production (metric tons)", + "World/North Africa/ISR/Industry/Capture fisheries production (metric tons)", + "World/North Africa/MAR/Industry/Capture fisheries production (metric tons)", + "World/South Africa/MOZ/Industry/Capture fisheries production (metric tons)", + "World/South Africa/NGA/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/OMN/Industry/Capture fisheries production (metric tons)", + "World/Asia/PHL/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/SAU/Industry/Capture fisheries production (metric tons)", + "World/Asia/THA/Industry/Capture fisheries production (metric tons)", + "World/Asia/VNM/Industry/Capture fisheries production (metric tons)", + "World/Asia/BGD/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/BRA/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/CHL/Agriculture/Cereal yield (kg per hectare)", + "World/Pair/CHN/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/COL/Agriculture/Cereal yield (kg per hectare)", + "World/South Africa/GHA/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/IDN/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/IND/Agriculture/Cereal yield (kg per hectare)", + "World/North Africa/ISR/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/MEX/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/PAN/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/PER/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/PHL/Agriculture/Cereal yield (kg per hectare)", + "World/Persian Gulf/QAT/Agriculture/Cereal yield (kg per hectare)", + "World/Persian Gulf/SAU/Agriculture/Cereal yield (kg per hectare)", + "World/North Africa/TUR/Agriculture/Cereal yield (kg per hectare)", + "World/Pair/USA/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/VNM/Agriculture/Cereal yield (kg per hectare)", + "World/Europe/AUT/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/AZE/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/BGD/Environment/Combustible renewables and waste (% of total energy)", + "World/Pair/CHN/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/COL/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/DEU/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/DZA/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/GBR/Environment/Combustible renewables and waste (% of total energy)", + "World/South Africa/GHA/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/IDN/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/IND/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/KOR/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/MAR/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/MEX/Environment/Combustible renewables and waste (% of total energy)", + "World/South Africa/MOZ/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/NLD/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/PAN/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/PER/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/PHL/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/POL/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/SAU/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/SWE/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/TUR/Environment/Combustible renewables and waste (% of total energy)", + "World/Pair/USA/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/VNM/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/ARE/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/BGD/Economy/Commercial bank branches (per 100,000 adults)", + "World/Pair/CHN/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/CMR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Latam/CRI/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/DEU/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/DZA/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/EGY/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/FRA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/GBR/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/GHA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/IDN/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/IND/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/ISR/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/MAR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Latam/MEX/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/MOZ/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/NLD/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/OMN/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/POL/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/QAT/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/SEN/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/TUR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Pair/USA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/YEM/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/ZAF/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/AUT/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/AZE/Exports/Commercial service exports (current US$)", + "World/Asia/BGD/Exports/Commercial service exports (current US$)", + "World/Latam/BRA/Exports/Commercial service exports (current US$)", + "World/Latam/CHL/Exports/Commercial service exports (current US$)", + "World/Pair/CHN/Exports/Commercial service exports (current US$)", + "World/South Africa/CMR/Exports/Commercial service exports (current US$)", + "World/Latam/COL/Exports/Commercial service exports (current US$)", + "World/Latam/CRI/Exports/Commercial service exports (current US$)", + "World/Europe/DEU/Exports/Commercial service exports (current US$)", + "World/North Africa/DZA/Exports/Commercial service exports (current US$)", + "World/Europe/ESP/Exports/Commercial service exports (current US$)", + "World/Europe/FRA/Exports/Commercial service exports (current US$)", + "World/Europe/GBR/Exports/Commercial service exports (current US$)", + "World/South Africa/GHA/Exports/Commercial service exports (current US$)", + "World/Europe/GRC/Exports/Commercial service exports (current US$)", + "World/Europe/HRV/Exports/Commercial service exports (current US$)", + "World/Asia/IDN/Exports/Commercial service exports (current US$)", + "World/Asia/IND/Exports/Commercial service exports (current US$)", + "World/North Africa/ISR/Exports/Commercial service exports (current US$)", + "World/Asia/KOR/Exports/Commercial service exports (current US$)", + "World/North Africa/MAR/Exports/Commercial service exports (current US$)", + "World/Europe/NLD/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/OMN/Exports/Commercial service exports (current US$)", + "World/Latam/PAN/Exports/Commercial service exports (current US$)", + "World/Latam/PER/Exports/Commercial service exports (current US$)", + "World/Asia/PHL/Exports/Commercial service exports (current US$)", + "World/Europe/POL/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/QAT/Exports/Commercial service exports (current US$)", + "World/South Africa/SEN/Exports/Commercial service exports (current US$)", + "World/Europe/SWE/Exports/Commercial service exports (current US$)", + "World/Asia/THA/Exports/Commercial service exports (current US$)", + "World/North Africa/TUR/Exports/Commercial service exports (current US$)", + "World/Pair/USA/Exports/Commercial service exports (current US$)", + "World/Asia/VNM/Exports/Commercial service exports (current US$)", + "World/South Africa/ZAF/Exports/Commercial service exports (current US$)", + "World/Latam/ARG/Imports/Commercial service imports (current US$)", + "World/Europe/AUT/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/AZE/Imports/Commercial service imports (current US$)", + "World/Asia/BGD/Imports/Commercial service imports (current US$)", + "World/Latam/BRA/Imports/Commercial service imports (current US$)", + "World/Latam/CHL/Imports/Commercial service imports (current US$)", + "World/Pair/CHN/Imports/Commercial service imports (current US$)", + "World/South Africa/CMR/Imports/Commercial service imports (current US$)", + "World/Latam/COL/Imports/Commercial service imports (current US$)", + "World/Latam/CRI/Imports/Commercial service imports (current US$)", + "World/Europe/DEU/Imports/Commercial service imports (current US$)", + "World/North Africa/DZA/Imports/Commercial service imports (current US$)", + "World/North Africa/EGY/Imports/Commercial service imports (current US$)", + "World/Europe/ESP/Imports/Commercial service imports (current US$)", + "World/Europe/FRA/Imports/Commercial service imports (current US$)", + "World/Europe/GBR/Imports/Commercial service imports (current US$)", + "World/South Africa/GHA/Imports/Commercial service imports (current US$)", + "World/Europe/HRV/Imports/Commercial service imports (current US$)", + "World/Asia/IDN/Imports/Commercial service imports (current US$)", + "World/Asia/IND/Imports/Commercial service imports (current US$)", + "World/North Africa/ISR/Imports/Commercial service imports (current US$)", + "World/Asia/KOR/Imports/Commercial service imports (current US$)", + "World/North Africa/MAR/Imports/Commercial service imports (current US$)", + "World/Latam/MEX/Imports/Commercial service imports (current US$)", + "World/South Africa/MOZ/Imports/Commercial service imports (current US$)", + "World/South Africa/NGA/Imports/Commercial service imports (current US$)", + "World/Europe/NLD/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/OMN/Imports/Commercial service imports (current US$)", + "World/Latam/PAN/Imports/Commercial service imports (current US$)", + "World/Latam/PER/Imports/Commercial service imports (current US$)", + "World/Asia/PHL/Imports/Commercial service imports (current US$)", + "World/Europe/POL/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/QAT/Imports/Commercial service imports (current US$)", + "World/South Africa/SEN/Imports/Commercial service imports (current US$)", + "World/Europe/SWE/Imports/Commercial service imports (current US$)", + "World/Asia/THA/Imports/Commercial service imports (current US$)", + "World/North Africa/TUR/Imports/Commercial service imports (current US$)", + "World/Pair/USA/Imports/Commercial service imports (current US$)", + "World/Asia/VNM/Imports/Commercial service imports (current US$)", + "World/South Africa/ZAF/Imports/Commercial service imports (current US$)", + "World/Latam/ARG/Demoraphy/Completeness of birth registration (%)", + "World/Asia/BGD/Demoraphy/Completeness of birth registration (%)", + "World/Latam/BRA/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/CMR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/COL/Demoraphy/Completeness of birth registration (%)", + "World/Latam/CRI/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/DZA/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/EGY/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/GHA/Demoraphy/Completeness of birth registration (%)", + "World/Asia/IND/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/LBR/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/MAR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/MEX/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/MOZ/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/NGA/Demoraphy/Completeness of birth registration (%)", + "World/Latam/PAN/Demoraphy/Completeness of birth registration (%)", + "World/Latam/PER/Demoraphy/Completeness of birth registration (%)", + "World/Asia/PHL/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/TUR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/VEN/Demoraphy/Completeness of birth registration (%)", + "World/Asia/VNM/Demoraphy/Completeness of birth registration (%)", + "World/Persian Gulf/ARE/Economy/Consumer price index (2010 = 100)", + "World/Europe/AUT/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/AZE/Economy/Consumer price index (2010 = 100)", + "World/Asia/BGD/Economy/Consumer price index (2010 = 100)", + "World/Latam/BRA/Economy/Consumer price index (2010 = 100)", + "World/Latam/CHL/Economy/Consumer price index (2010 = 100)", + "World/Pair/CHN/Economy/Consumer price index (2010 = 100)", + "World/South Africa/CMR/Economy/Consumer price index (2010 = 100)", + "World/Latam/COL/Economy/Consumer price index (2010 = 100)", + "World/Latam/CRI/Economy/Consumer price index (2010 = 100)", + "World/Europe/DEU/Economy/Consumer price index (2010 = 100)", + "World/North Africa/DZA/Economy/Consumer price index (2010 = 100)", + "World/North Africa/EGY/Economy/Consumer price index (2010 = 100)", + "World/Europe/ESP/Economy/Consumer price index (2010 = 100)", + "World/Europe/FRA/Economy/Consumer price index (2010 = 100)", + "World/Europe/GBR/Economy/Consumer price index (2010 = 100)", + "World/South Africa/GHA/Economy/Consumer price index (2010 = 100)", + "World/Europe/GRC/Economy/Consumer price index (2010 = 100)", + "World/Asia/IDN/Economy/Consumer price index (2010 = 100)", + "World/Asia/IND/Economy/Consumer price index (2010 = 100)", + "World/North Africa/ISR/Economy/Consumer price index (2010 = 100)", + "World/Asia/KOR/Economy/Consumer price index (2010 = 100)", + "World/South Africa/LBR/Economy/Consumer price index (2010 = 100)", + "World/North Africa/MAR/Economy/Consumer price index (2010 = 100)", + "World/Latam/MEX/Economy/Consumer price index (2010 = 100)", + "World/South Africa/MOZ/Economy/Consumer price index (2010 = 100)", + "World/South Africa/NGA/Economy/Consumer price index (2010 = 100)", + "World/Europe/NLD/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/OMN/Economy/Consumer price index (2010 = 100)", + "World/Latam/PAN/Economy/Consumer price index (2010 = 100)", + "World/Latam/PER/Economy/Consumer price index (2010 = 100)", + "World/Asia/PHL/Economy/Consumer price index (2010 = 100)", + "World/Europe/POL/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/QAT/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/SAU/Economy/Consumer price index (2010 = 100)", + "World/South Africa/SEN/Economy/Consumer price index (2010 = 100)", + "World/Europe/SWE/Economy/Consumer price index (2010 = 100)", + "World/Asia/THA/Economy/Consumer price index (2010 = 100)", + "World/North Africa/TUR/Economy/Consumer price index (2010 = 100)", + "World/Pair/USA/Economy/Consumer price index (2010 = 100)", + "World/Latam/VEN/Economy/Consumer price index (2010 = 100)", + "World/Asia/VNM/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/YEM/Economy/Consumer price index (2010 = 100)", + "World/South Africa/ZAF/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/ARE/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/BGD/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/CHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Pair/CHN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/CMR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/COL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/CRI/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/DEU/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/ESP/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/FRA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/GBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/GHA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/IDN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/IND/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/ISR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/KOR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/LBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/MAR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/MEX/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/MOZ/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/NLD/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/OMN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/PAN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/PER/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/PHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/POL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/QAT/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/SAU/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/SWE/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/THA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/TUR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Pair/USA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/VNM/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/ZAF/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/AZE/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/BGD/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/BRA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/CHL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Pair/CHN/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/CMR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/COL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/CRI/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/DZA/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/EGY/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/GHA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/IDN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/IND/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/MAR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/MEX/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/MOZ/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/NGA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/PER/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/PHL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/SEN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/THA/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/TUR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Pair/USA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/VNM/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/ARG/Health/Current health expenditure (% of GDP)", + "World/Europe/AUT/Health/Current health expenditure (% of GDP)", + "World/Latam/CHL/Health/Current health expenditure (% of GDP)", + "World/Pair/CHN/Health/Current health expenditure (% of GDP)", + "World/South Africa/CMR/Health/Current health expenditure (% of GDP)", + "World/Latam/COL/Health/Current health expenditure (% of GDP)", + "World/Latam/CRI/Health/Current health expenditure (% of GDP)", + "World/Europe/ESP/Health/Current health expenditure (% of GDP)", + "World/Europe/FRA/Health/Current health expenditure (% of GDP)", + "World/Europe/GBR/Health/Current health expenditure (% of GDP)", + "World/Europe/GRC/Health/Current health expenditure (% of GDP)", + "World/Asia/IDN/Health/Current health expenditure (% of GDP)", + "World/Asia/IND/Health/Current health expenditure (% of GDP)", + "World/Asia/KOR/Health/Current health expenditure (% of GDP)", + "World/South Africa/MOZ/Health/Current health expenditure (% of GDP)", + "World/Europe/NLD/Health/Current health expenditure (% of GDP)", + "World/Latam/PER/Health/Current health expenditure (% of GDP)", + "World/Europe/POL/Health/Current health expenditure (% of GDP)", + "World/Europe/SWE/Health/Current health expenditure (% of GDP)", + "World/Asia/THA/Health/Current health expenditure (% of GDP)", + "World/Pair/USA/Health/Current health expenditure (% of GDP)", + "World/Asia/VNM/Health/Current health expenditure (% of GDP)", + "World/Persian Gulf/YEM/Health/Current health expenditure (% of GDP)", + "World/Persian Gulf/ARE/Health/Current health expenditure per capita (current US$)", + "World/Latam/ARG/Health/Current health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Current health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Current health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Current health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Current health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Current health expenditure per capita (current US$)", + "World/South Africa/CMR/Health/Current health expenditure per capita (current US$)", + "World/Latam/COL/Health/Current health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Current health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Current health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Current health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Current health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Current health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Current health expenditure per capita (current US$)", + "World/South Africa/GHA/Health/Current health expenditure per capita (current US$)", + "World/Europe/GRC/Health/Current health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Current health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Current health expenditure per capita (current US$)", + "World/Asia/IND/Health/Current health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Current health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Current health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Current health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Current health expenditure per capita (current US$)", + "World/Latam/MEX/Health/Current health expenditure per capita (current US$)", + "World/South Africa/MOZ/Health/Current health expenditure per capita (current US$)", + "World/South Africa/NGA/Health/Current health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/OMN/Health/Current health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Current health expenditure per capita (current US$)", + "World/Latam/PER/Health/Current health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Current health expenditure per capita (current US$)", + "World/Europe/POL/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Current health expenditure per capita (current US$)", + "World/South Africa/SEN/Health/Current health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Current health expenditure per capita (current US$)", + "World/Asia/THA/Health/Current health expenditure per capita (current US$)", + "World/Pair/USA/Health/Current health expenditure per capita (current US$)", + "World/Latam/VEN/Health/Current health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Health/Current health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/BGD/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/CHL/Economy/Customs and other import duties (% of tax revenue)", + "World/Pair/CHN/Economy/Customs and other import duties (% of tax revenue)", + "World/South Africa/CMR/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/COL/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/CRI/Economy/Customs and other import duties (% of tax revenue)", + "World/North Africa/EGY/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/ESP/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/HRV/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/IND/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/KOR/Economy/Customs and other import duties (% of tax revenue)", + "World/North Africa/MAR/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/MEX/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/PAN/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/PER/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/POL/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/THA/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/BGD/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/CHL/Economy/Domestic credit to private sector (% of GDP)", + "World/Pair/CHN/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/CMR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/COL/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/CRI/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/DEU/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/DZA/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/EGY/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/FRA/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/GRC/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/HRV/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/IND/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/KOR/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/LBR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/MEX/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/OMN/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/PER/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/POL/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/QAT/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/SAU/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/SEN/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/SWE/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/TUR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/VEN/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/VNM/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/ARE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/AZE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/BGD/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/CHL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Pair/CHN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/CMR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/COL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/CRI/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/DEU/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/DZA/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/EGY/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/GRC/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/HRV/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/IND/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/KOR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/LBR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/MAR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/MEX/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/OMN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/PAN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/PER/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/POL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/QAT/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/SAU/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/SEN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/SWE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/TUR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/VEN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/VNM/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/ARG/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/COL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/GRC/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/IND/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/MEX/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/MOZ/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/OMN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/PER/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/POL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/THA/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/TUR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Pair/USA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/ARG/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Domestic private health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/CMR/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/COL/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/EGY/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/GHA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/IND/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/NGA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/PER/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/POL/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/SEN/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/THA/Health/Domestic private health expenditure per capita (current US$)", + "World/Pair/USA/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/AUT/Environment/Electric power consumption (kWh per capita)", + "World/Asia/BGD/Environment/Electric power consumption (kWh per capita)", + "World/Latam/BRA/Environment/Electric power consumption (kWh per capita)", + "World/Latam/CHL/Environment/Electric power consumption (kWh per capita)", + "World/Pair/CHN/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/CMR/Environment/Electric power consumption (kWh per capita)", + "World/Latam/COL/Environment/Electric power consumption (kWh per capita)", + "World/Latam/CRI/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/DZA/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/EGY/Environment/Electric power consumption (kWh per capita)", + "World/Europe/GBR/Environment/Electric power consumption (kWh per capita)", + "World/Europe/GRC/Environment/Electric power consumption (kWh per capita)", + "World/Europe/HRV/Environment/Electric power consumption (kWh per capita)", + "World/Asia/IDN/Environment/Electric power consumption (kWh per capita)", + "World/Asia/IND/Environment/Electric power consumption (kWh per capita)", + "World/Asia/KOR/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/MAR/Environment/Electric power consumption (kWh per capita)", + "World/Latam/MEX/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/MOZ/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/NGA/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/OMN/Environment/Electric power consumption (kWh per capita)", + "World/Latam/PAN/Environment/Electric power consumption (kWh per capita)", + "World/Latam/PER/Environment/Electric power consumption (kWh per capita)", + "World/Asia/PHL/Environment/Electric power consumption (kWh per capita)", + "World/Europe/POL/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/SAU/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/SEN/Environment/Electric power consumption (kWh per capita)", + "World/Europe/SWE/Environment/Electric power consumption (kWh per capita)", + "World/Asia/THA/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/TUR/Environment/Electric power consumption (kWh per capita)", + "World/Asia/VNM/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/YEM/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/ARE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/CHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/COL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/GHA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/LBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/MEX/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/NGA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/PAN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/PER/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/PHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/QAT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/TUR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/GRC/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/HRV/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/SAU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Pair/USA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/ARE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/CHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/COL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/GHA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/GRC/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/HRV/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/LBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/MEX/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/NGA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/PAN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/PER/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/PHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/THA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/TUR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Pair/USA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/BGD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Pair/CHN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/CMR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/CRI/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/DEU/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/DZA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/GBR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/GHA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/IDN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/IND/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/ISR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/KOR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/MEX/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/MOZ/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/NGA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/NLD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Persian Gulf/OMN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/PAN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/PER/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/PHL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/POL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/SWE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/THA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/TUR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Pair/USA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/VEN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/BGD/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/BRA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/CHL/Environment/Energy use (kg of oil equivalent per capita)", + "World/Pair/CHN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/CRI/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/GBR/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/IDN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/IND/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/KOR/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/MAR/Environment/Energy use (kg of oil equivalent per capita)", + "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent per capita)", + "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/NLD/Environment/Energy use (kg of oil equivalent per capita)", + "World/Persian Gulf/OMN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/PAN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/PER/Environment/Energy use (kg of oil equivalent per capita)", + "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/THA/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent per capita)", + "World/Pair/USA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/VNM/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/AUT/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/AZE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/BGD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Pair/CHN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/CMR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/COL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/CRI/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/DEU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/ESP/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/FRA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/GBR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/GHA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/HRV/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/IDN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/IND/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/ISR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/KOR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/MEX/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/NLD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/PAN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/PHL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/POL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/SWE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Pair/USA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/ZAF/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/ARE/Exports/Export unit value index (2000 = 100)", + "World/Europe/AUT/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export unit value index (2000 = 100)", + "World/Asia/BGD/Exports/Export unit value index (2000 = 100)", + "World/Latam/BRA/Exports/Export unit value index (2000 = 100)", + "World/Latam/CRI/Exports/Export unit value index (2000 = 100)", + "World/Europe/DEU/Exports/Export unit value index (2000 = 100)", + "World/North Africa/DZA/Exports/Export unit value index (2000 = 100)", + "World/Europe/ESP/Exports/Export unit value index (2000 = 100)", + "World/Europe/FRA/Exports/Export unit value index (2000 = 100)", + "World/South Africa/GHA/Exports/Export unit value index (2000 = 100)", + "World/Europe/GRC/Exports/Export unit value index (2000 = 100)", + "World/Europe/HRV/Exports/Export unit value index (2000 = 100)", + "World/Latam/MEX/Exports/Export unit value index (2000 = 100)", + "World/Europe/NLD/Exports/Export unit value index (2000 = 100)", + "World/Latam/PAN/Exports/Export unit value index (2000 = 100)", + "World/Europe/POL/Exports/Export unit value index (2000 = 100)", + "World/Europe/SWE/Exports/Export unit value index (2000 = 100)", + "World/Asia/THA/Exports/Export unit value index (2000 = 100)", + "World/Asia/VNM/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/YEM/Exports/Export unit value index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/ARE/Exports/Export value index (2000 = 100)", + "World/Europe/AUT/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export value index (2000 = 100)", + "World/Asia/BGD/Exports/Export value index (2000 = 100)", + "World/Latam/BRA/Exports/Export value index (2000 = 100)", + "World/Latam/CHL/Exports/Export value index (2000 = 100)", + "World/Pair/CHN/Exports/Export value index (2000 = 100)", + "World/Latam/COL/Exports/Export value index (2000 = 100)", + "World/Latam/CRI/Exports/Export value index (2000 = 100)", + "World/Europe/DEU/Exports/Export value index (2000 = 100)", + "World/North Africa/DZA/Exports/Export value index (2000 = 100)", + "World/Europe/ESP/Exports/Export value index (2000 = 100)", + "World/Europe/FRA/Exports/Export value index (2000 = 100)", + "World/Europe/GBR/Exports/Export value index (2000 = 100)", + "World/South Africa/GHA/Exports/Export value index (2000 = 100)", + "World/Asia/IDN/Exports/Export value index (2000 = 100)", + "World/Asia/IND/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/IRQ/Exports/Export value index (2000 = 100)", + "World/Asia/KOR/Exports/Export value index (2000 = 100)", + "World/North Africa/MAR/Exports/Export value index (2000 = 100)", + "World/Latam/MEX/Exports/Export value index (2000 = 100)", + "World/South Africa/MOZ/Exports/Export value index (2000 = 100)", + "World/Europe/NLD/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/OMN/Exports/Export value index (2000 = 100)", + "World/Latam/PAN/Exports/Export value index (2000 = 100)", + "World/Latam/PER/Exports/Export value index (2000 = 100)", + "World/Asia/PHL/Exports/Export value index (2000 = 100)", + "World/Europe/POL/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/QAT/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/SAU/Exports/Export value index (2000 = 100)", + "World/South Africa/SEN/Exports/Export value index (2000 = 100)", + "World/Europe/SWE/Exports/Export value index (2000 = 100)", + "World/Asia/THA/Exports/Export value index (2000 = 100)", + "World/North Africa/TUR/Exports/Export value index (2000 = 100)", + "World/Pair/USA/Exports/Export value index (2000 = 100)", + "World/Latam/VEN/Exports/Export value index (2000 = 100)", + "World/Asia/VNM/Exports/Export value index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/ARE/Exports/Export volume index (2000 = 100)", + "World/Europe/AUT/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export volume index (2000 = 100)", + "World/Asia/BGD/Exports/Export volume index (2000 = 100)", + "World/Latam/BRA/Exports/Export volume index (2000 = 100)", + "World/Latam/CHL/Exports/Export volume index (2000 = 100)", + "World/Pair/CHN/Exports/Export volume index (2000 = 100)", + "World/Latam/COL/Exports/Export volume index (2000 = 100)", + "World/Latam/CRI/Exports/Export volume index (2000 = 100)", + "World/Europe/ESP/Exports/Export volume index (2000 = 100)", + "World/South Africa/GHA/Exports/Export volume index (2000 = 100)", + "World/Europe/GRC/Exports/Export volume index (2000 = 100)", + "World/Asia/IDN/Exports/Export volume index (2000 = 100)", + "World/Asia/IND/Exports/Export volume index (2000 = 100)", + "World/North Africa/ISR/Exports/Export volume index (2000 = 100)", + "World/Asia/KOR/Exports/Export volume index (2000 = 100)", + "World/North Africa/MAR/Exports/Export volume index (2000 = 100)", + "World/Latam/MEX/Exports/Export volume index (2000 = 100)", + "World/South Africa/MOZ/Exports/Export volume index (2000 = 100)", + "World/Europe/NLD/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/OMN/Exports/Export volume index (2000 = 100)", + "World/Latam/PAN/Exports/Export volume index (2000 = 100)", + "World/Latam/PER/Exports/Export volume index (2000 = 100)", + "World/Asia/PHL/Exports/Export volume index (2000 = 100)", + "World/Europe/POL/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/QAT/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/SAU/Exports/Export volume index (2000 = 100)", + "World/Asia/THA/Exports/Export volume index (2000 = 100)", + "World/North Africa/TUR/Exports/Export volume index (2000 = 100)", + "World/Pair/USA/Exports/Export volume index (2000 = 100)", + "World/Latam/VEN/Exports/Export volume index (2000 = 100)", + "World/Asia/VNM/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/YEM/Exports/Export volume index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export volume index (2000 = 100)", + "World/Europe/AUT/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/AZE/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/BGD/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/BRA/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/CHL/Exports/Exports of goods and services (BoP, current US$)", + "World/Pair/CHN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/COL/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/CRI/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/DEU/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/ESP/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/FRA/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/GBR/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/GHA/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/HRV/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/IDN/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/IND/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/IRQ/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/ISR/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/KOR/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/MAR/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/MEX/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/MOZ/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/NLD/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/PAN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/PER/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/PHL/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/POL/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/SEN/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/SWE/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/THA/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/TUR/Exports/Exports of goods and services (BoP, current US$)", + "World/Pair/USA/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/VEN/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/VNM/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/ZAF/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/ARE/Exports/Exports of goods and services (current US$)", + "World/Europe/AUT/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/AZE/Exports/Exports of goods and services (current US$)", + "World/Asia/BGD/Exports/Exports of goods and services (current US$)", + "World/Latam/BRA/Exports/Exports of goods and services (current US$)", + "World/Latam/CHL/Exports/Exports of goods and services (current US$)", + "World/Pair/CHN/Exports/Exports of goods and services (current US$)", + "World/Latam/COL/Exports/Exports of goods and services (current US$)", + "World/Latam/CRI/Exports/Exports of goods and services (current US$)", + "World/Europe/DEU/Exports/Exports of goods and services (current US$)", + "World/North Africa/DZA/Exports/Exports of goods and services (current US$)", + "World/Europe/ESP/Exports/Exports of goods and services (current US$)", + "World/Europe/FRA/Exports/Exports of goods and services (current US$)", + "World/Europe/GBR/Exports/Exports of goods and services (current US$)", + "World/South Africa/GHA/Exports/Exports of goods and services (current US$)", + "World/Europe/HRV/Exports/Exports of goods and services (current US$)", + "World/Asia/IDN/Exports/Exports of goods and services (current US$)", + "World/Asia/IND/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/IRQ/Exports/Exports of goods and services (current US$)", + "World/North Africa/ISR/Exports/Exports of goods and services (current US$)", + "World/Asia/KOR/Exports/Exports of goods and services (current US$)", + "World/North Africa/MAR/Exports/Exports of goods and services (current US$)", + "World/Latam/MEX/Exports/Exports of goods and services (current US$)", + "World/South Africa/MOZ/Exports/Exports of goods and services (current US$)", + "World/Europe/NLD/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/OMN/Exports/Exports of goods and services (current US$)", + "World/Latam/PAN/Exports/Exports of goods and services (current US$)", + "World/Latam/PER/Exports/Exports of goods and services (current US$)", + "World/Asia/PHL/Exports/Exports of goods and services (current US$)", + "World/Europe/POL/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/QAT/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/SAU/Exports/Exports of goods and services (current US$)", + "World/South Africa/SEN/Exports/Exports of goods and services (current US$)", + "World/Europe/SWE/Exports/Exports of goods and services (current US$)", + "World/Asia/THA/Exports/Exports of goods and services (current US$)", + "World/North Africa/TUR/Exports/Exports of goods and services (current US$)", + "World/Pair/USA/Exports/Exports of goods and services (current US$)", + "World/Latam/VEN/Exports/Exports of goods and services (current US$)", + "World/Asia/VNM/Exports/Exports of goods and services (current US$)", + "World/South Africa/ZAF/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/ARE/Economy/Final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/Final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Final consumption expenditure (current US$)", + "World/Asia/BGD/Economy/Final consumption expenditure (current US$)", + "World/Latam/BRA/Economy/Final consumption expenditure (current US$)", + "World/Latam/CHL/Economy/Final consumption expenditure (current US$)", + "World/Pair/CHN/Economy/Final consumption expenditure (current US$)", + "World/South Africa/CMR/Economy/Final consumption expenditure (current US$)", + "World/Latam/COL/Economy/Final consumption expenditure (current US$)", + "World/Latam/CRI/Economy/Final consumption expenditure (current US$)", + "World/Europe/DEU/Economy/Final consumption expenditure (current US$)", + "World/North Africa/DZA/Economy/Final consumption expenditure (current US$)", + "World/North Africa/EGY/Economy/Final consumption expenditure (current US$)", + "World/Europe/ESP/Economy/Final consumption expenditure (current US$)", + "World/Europe/FRA/Economy/Final consumption expenditure (current US$)", + "World/Europe/GBR/Economy/Final consumption expenditure (current US$)", + "World/South Africa/GHA/Economy/Final consumption expenditure (current US$)", + "World/Europe/GRC/Economy/Final consumption expenditure (current US$)", + "World/Europe/HRV/Economy/Final consumption expenditure (current US$)", + "World/Asia/IDN/Economy/Final consumption expenditure (current US$)", + "World/Asia/IND/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/Final consumption expenditure (current US$)", + "World/North Africa/ISR/Economy/Final consumption expenditure (current US$)", + "World/Asia/KOR/Economy/Final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/Final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/Final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/Final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/Final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/Final consumption expenditure (current US$)", + "World/Latam/PER/Economy/Final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/Final consumption expenditure (current US$)", + "World/Europe/POL/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/Final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/Final consumption expenditure (current US$)", + "World/Asia/THA/Economy/Final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/Final consumption expenditure (current US$)", + "World/Pair/USA/Economy/Final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/Final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/Final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/Final consumption expenditure (current US$)", + "World/Latam/ARG/R&D/Firms offering formal training (% of firms)", + "World/Latam/CHL/R&D/Firms offering formal training (% of firms)", + "World/Latam/COL/R&D/Firms offering formal training (% of firms)", + "World/Latam/CRI/R&D/Firms offering formal training (% of firms)", + "World/North Africa/EGY/R&D/Firms offering formal training (% of firms)", + "World/South Africa/GHA/R&D/Firms offering formal training (% of firms)", + "World/Europe/GRC/R&D/Firms offering formal training (% of firms)", + "World/Europe/HRV/R&D/Firms offering formal training (% of firms)", + "World/Asia/IDN/R&D/Firms offering formal training (% of firms)", + "World/Asia/IND/R&D/Firms offering formal training (% of firms)", + "World/South Africa/LBR/R&D/Firms offering formal training (% of firms)", + "World/North Africa/MAR/R&D/Firms offering formal training (% of firms)", + "World/Latam/MEX/R&D/Firms offering formal training (% of firms)", + "World/South Africa/MOZ/R&D/Firms offering formal training (% of firms)", + "World/South Africa/NGA/R&D/Firms offering formal training (% of firms)", + "World/Latam/PAN/R&D/Firms offering formal training (% of firms)", + "World/Latam/PER/R&D/Firms offering formal training (% of firms)", + "World/Asia/PHL/R&D/Firms offering formal training (% of firms)", + "World/Europe/POL/R&D/Firms offering formal training (% of firms)", + "World/South Africa/SEN/R&D/Firms offering formal training (% of firms)", + "World/Asia/THA/R&D/Firms offering formal training (% of firms)", + "World/North Africa/TUR/R&D/Firms offering formal training (% of firms)", + "World/Latam/VEN/R&D/Firms offering formal training (% of firms)", + "World/Asia/VNM/R&D/Firms offering formal training (% of firms)", + "World/Persian Gulf/YEM/R&D/Firms offering formal training (% of firms)", + "World/South Africa/ZAF/R&D/Firms offering formal training (% of firms)", + "World/Latam/ARG/Economy/Firms using banks to finance investment (% of firms)", + "World/Persian Gulf/AZE/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/BGD/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/CHL/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/CMR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/COL/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/CRI/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/EGY/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/GHA/Economy/Firms using banks to finance investment (% of firms)", + "World/Europe/GRC/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/IDN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/IND/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/LBR/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/MAR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/MEX/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/MOZ/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/NGA/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/PAN/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/PER/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/PHL/Economy/Firms using banks to finance investment (% of firms)", + "World/Europe/POL/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/SEN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/THA/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/TUR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/VEN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/VNM/Economy/Firms using banks to finance investment (% of firms)", + "World/Persian Gulf/YEM/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/ZAF/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/ARG/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/AZE/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/BGD/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/CHL/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/CMR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/COL/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/CRI/Economy/Firms using banks to finance working capital (% of firms)", + "World/North Africa/EGY/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/GHA/Economy/Firms using banks to finance working capital (% of firms)", + "World/Europe/GRC/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/IDN/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/LBR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/MEX/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/MOZ/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/NGA/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/PAN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/PER/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/PHL/Economy/Firms using banks to finance working capital (% of firms)", + "World/Europe/POL/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/SEN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/THA/Economy/Firms using banks to finance working capital (% of firms)", + "World/North Africa/TUR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/VEN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/VNM/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/YEM/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/ZAF/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions", + "World/Latam/ARG/Internet/Fixed broadband subscriptions", + "World/Europe/AUT/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions", + "World/Asia/BGD/Internet/Fixed broadband subscriptions", + "World/Latam/BRA/Internet/Fixed broadband subscriptions", + "World/Latam/CHL/Internet/Fixed broadband subscriptions", + "World/Pair/CHN/Internet/Fixed broadband subscriptions", + "World/South Africa/CMR/Internet/Fixed broadband subscriptions", + "World/Latam/COL/Internet/Fixed broadband subscriptions", + "World/Latam/CRI/Internet/Fixed broadband subscriptions", + "World/Europe/DEU/Internet/Fixed broadband subscriptions", + "World/North Africa/DZA/Internet/Fixed broadband subscriptions", + "World/North Africa/EGY/Internet/Fixed broadband subscriptions", + "World/Europe/ESP/Internet/Fixed broadband subscriptions", + "World/Europe/FRA/Internet/Fixed broadband subscriptions", + "World/Europe/GBR/Internet/Fixed broadband subscriptions", + "World/South Africa/GHA/Internet/Fixed broadband subscriptions", + "World/Europe/GRC/Internet/Fixed broadband subscriptions", + "World/Europe/HRV/Internet/Fixed broadband subscriptions", + "World/Asia/IDN/Internet/Fixed broadband subscriptions", + "World/Asia/IND/Internet/Fixed broadband subscriptions", + "World/North Africa/ISR/Internet/Fixed broadband subscriptions", + "World/Asia/KOR/Internet/Fixed broadband subscriptions", + "World/South Africa/LBR/Internet/Fixed broadband subscriptions", + "World/North Africa/MAR/Internet/Fixed broadband subscriptions", + "World/Latam/MEX/Internet/Fixed broadband subscriptions", + "World/South Africa/MOZ/Internet/Fixed broadband subscriptions", + "World/Europe/NLD/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions", + "World/Latam/PAN/Internet/Fixed broadband subscriptions", + "World/Latam/PER/Internet/Fixed broadband subscriptions", + "World/Asia/PHL/Internet/Fixed broadband subscriptions", + "World/Europe/POL/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions", + "World/South Africa/SEN/Internet/Fixed broadband subscriptions", + "World/Europe/SWE/Internet/Fixed broadband subscriptions", + "World/Asia/THA/Internet/Fixed broadband subscriptions", + "World/North Africa/TUR/Internet/Fixed broadband subscriptions", + "World/Pair/USA/Internet/Fixed broadband subscriptions", + "World/Latam/VEN/Internet/Fixed broadband subscriptions", + "World/Asia/VNM/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions", + "World/South Africa/ZAF/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/ARG/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/AUT/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/BGD/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/BRA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/CHL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Pair/CHN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/CMR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/COL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/CRI/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/DEU/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/DZA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/EGY/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/ESP/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/FRA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/GBR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/GHA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/GRC/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/HRV/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/IDN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/IND/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/ISR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/KOR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/LBR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/MAR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/MEX/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/MOZ/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/NLD/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/PAN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/PER/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/PHL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/POL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/SEN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/SWE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/THA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/TUR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Pair/USA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/VEN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/VNM/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/ZAF/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/ARE/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/AZE/Industry/Food production index (2014-2016 = 100)", + "World/Asia/BGD/Industry/Food production index (2014-2016 = 100)", + "World/Latam/BRA/Industry/Food production index (2014-2016 = 100)", + "World/Latam/CHL/Industry/Food production index (2014-2016 = 100)", + "World/Pair/CHN/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/CMR/Industry/Food production index (2014-2016 = 100)", + "World/Latam/COL/Industry/Food production index (2014-2016 = 100)", + "World/Latam/CRI/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/DZA/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/EGY/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/GHA/Industry/Food production index (2014-2016 = 100)", + "World/Asia/IDN/Industry/Food production index (2014-2016 = 100)", + "World/Asia/IND/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/ISR/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/LBR/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/MAR/Industry/Food production index (2014-2016 = 100)", + "World/Latam/MEX/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/MOZ/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/NGA/Industry/Food production index (2014-2016 = 100)", + "World/Europe/NLD/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Industry/Food production index (2014-2016 = 100)", + "World/Latam/PAN/Industry/Food production index (2014-2016 = 100)", + "World/Latam/PER/Industry/Food production index (2014-2016 = 100)", + "World/Asia/PHL/Industry/Food production index (2014-2016 = 100)", + "World/Europe/POL/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/SAU/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/SEN/Industry/Food production index (2014-2016 = 100)", + "World/Asia/THA/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/TUR/Industry/Food production index (2014-2016 = 100)", + "World/Pair/USA/Industry/Food production index (2014-2016 = 100)", + "World/Asia/VNM/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/ZAF/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/ARE/Demography/Forest area (% of land area)", + "World/Latam/ARG/Demography/Forest area (% of land area)", + "World/Europe/AUT/Demography/Forest area (% of land area)", + "World/Persian Gulf/AZE/Demography/Forest area (% of land area)", + "World/Asia/BGD/Demography/Forest area (% of land area)", + "World/Latam/BRA/Demography/Forest area (% of land area)", + "World/Latam/CHL/Demography/Forest area (% of land area)", + "World/Pair/CHN/Demography/Forest area (% of land area)", + "World/South Africa/CMR/Demography/Forest area (% of land area)", + "World/Latam/COL/Demography/Forest area (% of land area)", + "World/Latam/CRI/Demography/Forest area (% of land area)", + "World/North Africa/DZA/Demography/Forest area (% of land area)", + "World/North Africa/EGY/Demography/Forest area (% of land area)", + "World/Europe/ESP/Demography/Forest area (% of land area)", + "World/Europe/FRA/Demography/Forest area (% of land area)", + "World/Europe/GBR/Demography/Forest area (% of land area)", + "World/Europe/GRC/Demography/Forest area (% of land area)", + "World/Europe/HRV/Demography/Forest area (% of land area)", + "World/Asia/IDN/Demography/Forest area (% of land area)", + "World/Asia/IND/Demography/Forest area (% of land area)", + "World/Asia/KOR/Demography/Forest area (% of land area)", + "World/South Africa/LBR/Demography/Forest area (% of land area)", + "World/North Africa/MAR/Demography/Forest area (% of land area)", + "World/Latam/MEX/Demography/Forest area (% of land area)", + "World/South Africa/MOZ/Demography/Forest area (% of land area)", + "World/South Africa/NGA/Demography/Forest area (% of land area)", + "World/Europe/NLD/Demography/Forest area (% of land area)", + "World/Latam/PAN/Demography/Forest area (% of land area)", + "World/Latam/PER/Demography/Forest area (% of land area)", + "World/Europe/POL/Demography/Forest area (% of land area)", + "World/South Africa/SEN/Demography/Forest area (% of land area)", + "World/North Africa/TUR/Demography/Forest area (% of land area)", + "World/Pair/USA/Demography/Forest area (% of land area)", + "World/Latam/VEN/Demography/Forest area (% of land area)", + "World/Asia/VNM/Demography/Forest area (% of land area)", + "World/South Africa/ZAF/Demography/Forest area (% of land area)", + "World/Persian Gulf/ARE/Principal/GDP deflator (base year varies by country)", + "World/Europe/AUT/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/AZE/Principal/GDP deflator (base year varies by country)", + "World/Asia/BGD/Principal/GDP deflator (base year varies by country)", + "World/Latam/BRA/Principal/GDP deflator (base year varies by country)", + "World/Latam/CHL/Principal/GDP deflator (base year varies by country)", + "World/Pair/CHN/Principal/GDP deflator (base year varies by country)", + "World/South Africa/CMR/Principal/GDP deflator (base year varies by country)", + "World/Latam/COL/Principal/GDP deflator (base year varies by country)", + "World/Latam/CRI/Principal/GDP deflator (base year varies by country)", + "World/Europe/DEU/Principal/GDP deflator (base year varies by country)", + "World/North Africa/DZA/Principal/GDP deflator (base year varies by country)", + "World/North Africa/EGY/Principal/GDP deflator (base year varies by country)", + "World/Europe/ESP/Principal/GDP deflator (base year varies by country)", + "World/Europe/FRA/Principal/GDP deflator (base year varies by country)", + "World/Europe/GBR/Principal/GDP deflator (base year varies by country)", + "World/South Africa/GHA/Principal/GDP deflator (base year varies by country)", + "World/Europe/GRC/Principal/GDP deflator (base year varies by country)", + "World/Europe/HRV/Principal/GDP deflator (base year varies by country)", + "World/Asia/IDN/Principal/GDP deflator (base year varies by country)", + "World/Asia/IND/Principal/GDP deflator (base year varies by country)", + "World/North Africa/ISR/Principal/GDP deflator (base year varies by country)", + "World/Asia/KOR/Principal/GDP deflator (base year varies by country)", + "World/South Africa/LBR/Principal/GDP deflator (base year varies by country)", + "World/North Africa/MAR/Principal/GDP deflator (base year varies by country)", + "World/Latam/MEX/Principal/GDP deflator (base year varies by country)", + "World/South Africa/MOZ/Principal/GDP deflator (base year varies by country)", + "World/South Africa/NGA/Principal/GDP deflator (base year varies by country)", + "World/Europe/NLD/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/OMN/Principal/GDP deflator (base year varies by country)", + "World/Latam/PAN/Principal/GDP deflator (base year varies by country)", + "World/Latam/PER/Principal/GDP deflator (base year varies by country)", + "World/Asia/PHL/Principal/GDP deflator (base year varies by country)", + "World/Europe/POL/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/QAT/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/SAU/Principal/GDP deflator (base year varies by country)", + "World/South Africa/SEN/Principal/GDP deflator (base year varies by country)", + "World/Asia/THA/Principal/GDP deflator (base year varies by country)", + "World/North Africa/TUR/Principal/GDP deflator (base year varies by country)", + "World/Pair/USA/Principal/GDP deflator (base year varies by country)", + "World/Latam/VEN/Principal/GDP deflator (base year varies by country)", + "World/Asia/VNM/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/YEM/Principal/GDP deflator (base year varies by country)", + "World/South Africa/ZAF/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/ARE/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/AUT/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/AZE/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/BGD/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/BRA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/CHL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Pair/CHN/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/CMR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/COL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/CRI/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/DEU/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/DZA/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/EGY/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/ESP/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/FRA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/GBR/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/GHA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/GRC/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/HRV/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/IDN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/IND/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/ISR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/KOR/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/LBR/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/MAR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/MEX/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/MOZ/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/NGA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/NLD/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/OMN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/PAN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/PER/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/PHL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/POL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/QAT/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/SAU/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/SEN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/THA/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/TUR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Pair/USA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/VEN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/VNM/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/YEM/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/ZAF/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/ARE/Principal/GDP per capita (current US$)", + "World/Latam/ARG/Principal/GDP per capita (current US$)", + "World/Europe/AUT/Principal/GDP per capita (current US$)", + "World/Persian Gulf/AZE/Principal/GDP per capita (current US$)", + "World/Asia/BGD/Principal/GDP per capita (current US$)", + "World/Latam/BRA/Principal/GDP per capita (current US$)", + "World/Latam/CHL/Principal/GDP per capita (current US$)", + "World/Pair/CHN/Principal/GDP per capita (current US$)", + "World/South Africa/CMR/Principal/GDP per capita (current US$)", + "World/Latam/COL/Principal/GDP per capita (current US$)", + "World/Latam/CRI/Principal/GDP per capita (current US$)", + "World/Europe/DEU/Principal/GDP per capita (current US$)", + "World/North Africa/DZA/Principal/GDP per capita (current US$)", + "World/North Africa/EGY/Principal/GDP per capita (current US$)", + "World/Europe/ESP/Principal/GDP per capita (current US$)", + "World/Europe/FRA/Principal/GDP per capita (current US$)", + "World/Europe/GBR/Principal/GDP per capita (current US$)", + "World/South Africa/GHA/Principal/GDP per capita (current US$)", + "World/Europe/GRC/Principal/GDP per capita (current US$)", + "World/Europe/HRV/Principal/GDP per capita (current US$)", + "World/Asia/IDN/Principal/GDP per capita (current US$)", + "World/Asia/IND/Principal/GDP per capita (current US$)", + "World/Persian Gulf/IRQ/Principal/GDP per capita (current US$)", + "World/North Africa/ISR/Principal/GDP per capita (current US$)", + "World/Asia/KOR/Principal/GDP per capita (current US$)", + "World/North Africa/MAR/Principal/GDP per capita (current US$)", + "World/Latam/MEX/Principal/GDP per capita (current US$)", + "World/South Africa/MOZ/Principal/GDP per capita (current US$)", + "World/South Africa/NGA/Principal/GDP per capita (current US$)", + "World/Europe/NLD/Principal/GDP per capita (current US$)", + "World/Persian Gulf/OMN/Principal/GDP per capita (current US$)", + "World/Latam/PAN/Principal/GDP per capita (current US$)", + "World/Latam/PER/Principal/GDP per capita (current US$)", + "World/Asia/PHL/Principal/GDP per capita (current US$)", + "World/Europe/POL/Principal/GDP per capita (current US$)", + "World/Persian Gulf/QAT/Principal/GDP per capita (current US$)", + "World/Persian Gulf/SAU/Principal/GDP per capita (current US$)", + "World/South Africa/SEN/Principal/GDP per capita (current US$)", + "World/Europe/SWE/Principal/GDP per capita (current US$)", + "World/Asia/THA/Principal/GDP per capita (current US$)", + "World/North Africa/TUR/Principal/GDP per capita (current US$)", + "World/Pair/USA/Principal/GDP per capita (current US$)", + "World/Latam/VEN/Principal/GDP per capita (current US$)", + "World/Asia/VNM/Principal/GDP per capita (current US$)", + "World/Persian Gulf/YEM/Principal/GDP per capita (current US$)", + "World/South Africa/ZAF/Principal/GDP per capita (current US$)", + "World/Persian Gulf/ARE/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/ARG/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/AZE/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/BGD/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/BRA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/CHL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Pair/CHN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/CMR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/COL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/CRI/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/EGY/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/FRA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/GBR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/GHA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/GRC/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/IDN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/IND/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/ISR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/KOR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/MAR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/MOZ/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/NGA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/OMN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/PAN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/PER/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/PHL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/POL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/QAT/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/SAU/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/SEN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/THA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/TUR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Pair/USA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/VNM/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/ZAF/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/ARG/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/AUT/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Persian Gulf/AZE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/BGD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/BRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/CHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Pair/CHN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/CMR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/COL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/CRI/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/DEU/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/EGY/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/ESP/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/FRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/GBR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/GHA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/HRV/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/IDN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/IND/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/ISR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/KOR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/MAR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/MEX/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/MOZ/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/NGA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/NLD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/PAN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/PHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/POL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/SWE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/THA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/TUR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Pair/USA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/VNM/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/ZAF/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/AUT/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/AZE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/BGD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Pair/CHN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/CMR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/COL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/CRI/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/DEU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/DZA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/ESP/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/FRA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/GBR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/GHA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/HRV/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/IDN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/IND/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/ISR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/KOR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/MEX/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/MOZ/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/NGA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/NLD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/PAN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/PHL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/POL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/SAU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/SWE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/TUR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Pair/USA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/ZAF/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/ARE/Economy/GNI (current US$)", + "World/Latam/ARG/Economy/GNI (current US$)", + "World/Europe/AUT/Economy/GNI (current US$)", + "World/Persian Gulf/AZE/Economy/GNI (current US$)", + "World/Asia/BGD/Economy/GNI (current US$)", + "World/Latam/BRA/Economy/GNI (current US$)", + "World/Latam/CHL/Economy/GNI (current US$)", + "World/Pair/CHN/Economy/GNI (current US$)", + "World/South Africa/CMR/Economy/GNI (current US$)", + "World/Latam/COL/Economy/GNI (current US$)", + "World/Latam/CRI/Economy/GNI (current US$)", + "World/Europe/DEU/Economy/GNI (current US$)", + "World/North Africa/DZA/Economy/GNI (current US$)", + "World/North Africa/EGY/Economy/GNI (current US$)", + "World/Europe/ESP/Economy/GNI (current US$)", + "World/Europe/FRA/Economy/GNI (current US$)", + "World/Europe/GBR/Economy/GNI (current US$)", + "World/South Africa/GHA/Economy/GNI (current US$)", + "World/Europe/HRV/Economy/GNI (current US$)", + "World/Asia/IDN/Economy/GNI (current US$)", + "World/Asia/IND/Economy/GNI (current US$)", + "World/Persian Gulf/IRQ/Economy/GNI (current US$)", + "World/North Africa/ISR/Economy/GNI (current US$)", + "World/Asia/KOR/Economy/GNI (current US$)", + "World/South Africa/LBR/Economy/GNI (current US$)", + "World/North Africa/MAR/Economy/GNI (current US$)", + "World/Latam/MEX/Economy/GNI (current US$)", + "World/South Africa/MOZ/Economy/GNI (current US$)", + "World/South Africa/NGA/Economy/GNI (current US$)", + "World/Europe/NLD/Economy/GNI (current US$)", + "World/Persian Gulf/OMN/Economy/GNI (current US$)", + "World/Latam/PAN/Economy/GNI (current US$)", + "World/Latam/PER/Economy/GNI (current US$)", + "World/Asia/PHL/Economy/GNI (current US$)", + "World/Europe/POL/Economy/GNI (current US$)", + "World/Persian Gulf/QAT/Economy/GNI (current US$)", + "World/Persian Gulf/SAU/Economy/GNI (current US$)", + "World/South Africa/SEN/Economy/GNI (current US$)", + "World/Europe/SWE/Economy/GNI (current US$)", + "World/Asia/THA/Economy/GNI (current US$)", + "World/North Africa/TUR/Economy/GNI (current US$)", + "World/Pair/USA/Economy/GNI (current US$)", + "World/Latam/VEN/Economy/GNI (current US$)", + "World/Asia/VNM/Economy/GNI (current US$)", + "World/Persian Gulf/YEM/Economy/GNI (current US$)", + "World/South Africa/ZAF/Economy/GNI (current US$)", + "World/Persian Gulf/ARE/Economy/General government final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/General government final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/General government final consumption expenditure (current US$)", + "World/Asia/BGD/Economy/General government final consumption expenditure (current US$)", + "World/Latam/BRA/Economy/General government final consumption expenditure (current US$)", + "World/Latam/CHL/Economy/General government final consumption expenditure (current US$)", + "World/Pair/CHN/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/CMR/Economy/General government final consumption expenditure (current US$)", + "World/Latam/COL/Economy/General government final consumption expenditure (current US$)", + "World/Latam/CRI/Economy/General government final consumption expenditure (current US$)", + "World/Europe/DEU/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/DZA/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/EGY/Economy/General government final consumption expenditure (current US$)", + "World/Europe/ESP/Economy/General government final consumption expenditure (current US$)", + "World/Europe/FRA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/GBR/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/GHA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/GRC/Economy/General government final consumption expenditure (current US$)", + "World/Europe/HRV/Economy/General government final consumption expenditure (current US$)", + "World/Asia/IDN/Economy/General government final consumption expenditure (current US$)", + "World/Asia/IND/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/ISR/Economy/General government final consumption expenditure (current US$)", + "World/Asia/KOR/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/General government final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/General government final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/General government final consumption expenditure (current US$)", + "World/Latam/PER/Economy/General government final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/General government final consumption expenditure (current US$)", + "World/Europe/POL/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/General government final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/General government final consumption expenditure (current US$)", + "World/Asia/THA/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/General government final consumption expenditure (current US$)", + "World/Pair/USA/Economy/General government final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/General government final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/General government final consumption expenditure (current US$)", + "World/Europe/AUT/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/AZE/Exports/Goods exports (BoP, current US$)", + "World/Asia/BGD/Exports/Goods exports (BoP, current US$)", + "World/Latam/BRA/Exports/Goods exports (BoP, current US$)", + "World/Latam/CHL/Exports/Goods exports (BoP, current US$)", + "World/Pair/CHN/Exports/Goods exports (BoP, current US$)", + "World/Latam/COL/Exports/Goods exports (BoP, current US$)", + "World/Latam/CRI/Exports/Goods exports (BoP, current US$)", + "World/Europe/DEU/Exports/Goods exports (BoP, current US$)", + "World/Europe/ESP/Exports/Goods exports (BoP, current US$)", + "World/Europe/FRA/Exports/Goods exports (BoP, current US$)", + "World/Europe/GBR/Exports/Goods exports (BoP, current US$)", + "World/South Africa/GHA/Exports/Goods exports (BoP, current US$)", + "World/Asia/IDN/Exports/Goods exports (BoP, current US$)", + "World/Asia/IND/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/IRQ/Exports/Goods exports (BoP, current US$)", + "World/North Africa/ISR/Exports/Goods exports (BoP, current US$)", + "World/Asia/KOR/Exports/Goods exports (BoP, current US$)", + "World/South Africa/LBR/Exports/Goods exports (BoP, current US$)", + "World/North Africa/MAR/Exports/Goods exports (BoP, current US$)", + "World/Latam/MEX/Exports/Goods exports (BoP, current US$)", + "World/South Africa/MOZ/Exports/Goods exports (BoP, current US$)", + "World/Europe/NLD/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/Goods exports (BoP, current US$)", + "World/Latam/PER/Exports/Goods exports (BoP, current US$)", + "World/Asia/PHL/Exports/Goods exports (BoP, current US$)", + "World/Europe/POL/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/Goods exports (BoP, current US$)", + "World/South Africa/SEN/Exports/Goods exports (BoP, current US$)", + "World/Europe/SWE/Exports/Goods exports (BoP, current US$)", + "World/Asia/THA/Exports/Goods exports (BoP, current US$)", + "World/North Africa/TUR/Exports/Goods exports (BoP, current US$)", + "World/Pair/USA/Exports/Goods exports (BoP, current US$)", + "World/Latam/VEN/Exports/Goods exports (BoP, current US$)", + "World/Asia/VNM/Exports/Goods exports (BoP, current US$)", + "World/South Africa/ZAF/Exports/Goods exports (BoP, current US$)", + "World/Latam/ARG/Imports/Goods imports (BoP, current US$)", + "World/Europe/AUT/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/AZE/Imports/Goods imports (BoP, current US$)", + "World/Asia/BGD/Imports/Goods imports (BoP, current US$)", + "World/Latam/BRA/Imports/Goods imports (BoP, current US$)", + "World/Latam/CHL/Imports/Goods imports (BoP, current US$)", + "World/Pair/CHN/Imports/Goods imports (BoP, current US$)", + "World/Latam/COL/Imports/Goods imports (BoP, current US$)", + "World/Latam/CRI/Imports/Goods imports (BoP, current US$)", + "World/Europe/DEU/Imports/Goods imports (BoP, current US$)", + "World/North Africa/DZA/Imports/Goods imports (BoP, current US$)", + "World/North Africa/EGY/Imports/Goods imports (BoP, current US$)", + "World/Europe/ESP/Imports/Goods imports (BoP, current US$)", + "World/Europe/FRA/Imports/Goods imports (BoP, current US$)", + "World/Europe/GBR/Imports/Goods imports (BoP, current US$)", + "World/South Africa/GHA/Imports/Goods imports (BoP, current US$)", + "World/Europe/GRC/Imports/Goods imports (BoP, current US$)", + "World/Europe/HRV/Imports/Goods imports (BoP, current US$)", + "World/Asia/IDN/Imports/Goods imports (BoP, current US$)", + "World/Asia/IND/Imports/Goods imports (BoP, current US$)", + "World/North Africa/ISR/Imports/Goods imports (BoP, current US$)", + "World/Asia/KOR/Imports/Goods imports (BoP, current US$)", + "World/South Africa/LBR/Imports/Goods imports (BoP, current US$)", + "World/North Africa/MAR/Imports/Goods imports (BoP, current US$)", + "World/Latam/MEX/Imports/Goods imports (BoP, current US$)", + "World/South Africa/MOZ/Imports/Goods imports (BoP, current US$)", + "World/South Africa/NGA/Imports/Goods imports (BoP, current US$)", + "World/Europe/NLD/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Goods imports (BoP, current US$)", + "World/Latam/PER/Imports/Goods imports (BoP, current US$)", + "World/Asia/PHL/Imports/Goods imports (BoP, current US$)", + "World/Europe/POL/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/SAU/Imports/Goods imports (BoP, current US$)", + "World/South Africa/SEN/Imports/Goods imports (BoP, current US$)", + "World/Europe/SWE/Imports/Goods imports (BoP, current US$)", + "World/Asia/THA/Imports/Goods imports (BoP, current US$)", + "World/North Africa/TUR/Imports/Goods imports (BoP, current US$)", + "World/Pair/USA/Imports/Goods imports (BoP, current US$)", + "World/Asia/VNM/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/YEM/Imports/Goods imports (BoP, current US$)", + "World/South Africa/ZAF/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/ARE/Economy/Gross capital formation (current US$)", + "World/Latam/ARG/Economy/Gross capital formation (current US$)", + "World/Europe/AUT/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/AZE/Economy/Gross capital formation (current US$)", + "World/Asia/BGD/Economy/Gross capital formation (current US$)", + "World/Latam/BRA/Economy/Gross capital formation (current US$)", + "World/Latam/CHL/Economy/Gross capital formation (current US$)", + "World/Pair/CHN/Economy/Gross capital formation (current US$)", + "World/South Africa/CMR/Economy/Gross capital formation (current US$)", + "World/Latam/COL/Economy/Gross capital formation (current US$)", + "World/Latam/CRI/Economy/Gross capital formation (current US$)", + "World/Europe/DEU/Economy/Gross capital formation (current US$)", + "World/North Africa/DZA/Economy/Gross capital formation (current US$)", + "World/North Africa/EGY/Economy/Gross capital formation (current US$)", + "World/Europe/ESP/Economy/Gross capital formation (current US$)", + "World/Europe/FRA/Economy/Gross capital formation (current US$)", + "World/Europe/GBR/Economy/Gross capital formation (current US$)", + "World/South Africa/GHA/Economy/Gross capital formation (current US$)", + "World/Europe/HRV/Economy/Gross capital formation (current US$)", + "World/Asia/IDN/Economy/Gross capital formation (current US$)", + "World/Asia/IND/Economy/Gross capital formation (current US$)", + "World/North Africa/ISR/Economy/Gross capital formation (current US$)", + "World/Asia/KOR/Economy/Gross capital formation (current US$)", + "World/North Africa/MAR/Economy/Gross capital formation (current US$)", + "World/Latam/MEX/Economy/Gross capital formation (current US$)", + "World/South Africa/MOZ/Economy/Gross capital formation (current US$)", + "World/South Africa/NGA/Economy/Gross capital formation (current US$)", + "World/Europe/NLD/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/OMN/Economy/Gross capital formation (current US$)", + "World/Latam/PAN/Economy/Gross capital formation (current US$)", + "World/Latam/PER/Economy/Gross capital formation (current US$)", + "World/Asia/PHL/Economy/Gross capital formation (current US$)", + "World/Europe/POL/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/QAT/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/SAU/Economy/Gross capital formation (current US$)", + "World/South Africa/SEN/Economy/Gross capital formation (current US$)", + "World/Europe/SWE/Economy/Gross capital formation (current US$)", + "World/Asia/THA/Economy/Gross capital formation (current US$)", + "World/North Africa/TUR/Economy/Gross capital formation (current US$)", + "World/Pair/USA/Economy/Gross capital formation (current US$)", + "World/Latam/VEN/Economy/Gross capital formation (current US$)", + "World/Asia/VNM/Economy/Gross capital formation (current US$)", + "World/South Africa/ZAF/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/ARE/Economy/Gross domestic savings (current US$)", + "World/Latam/ARG/Economy/Gross domestic savings (current US$)", + "World/Europe/AUT/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/AZE/Economy/Gross domestic savings (current US$)", + "World/Asia/BGD/Economy/Gross domestic savings (current US$)", + "World/Latam/BRA/Economy/Gross domestic savings (current US$)", + "World/Latam/CHL/Economy/Gross domestic savings (current US$)", + "World/Pair/CHN/Economy/Gross domestic savings (current US$)", + "World/South Africa/CMR/Economy/Gross domestic savings (current US$)", + "World/Latam/COL/Economy/Gross domestic savings (current US$)", + "World/Latam/CRI/Economy/Gross domestic savings (current US$)", + "World/Europe/DEU/Economy/Gross domestic savings (current US$)", + "World/North Africa/DZA/Economy/Gross domestic savings (current US$)", + "World/Europe/ESP/Economy/Gross domestic savings (current US$)", + "World/Europe/FRA/Economy/Gross domestic savings (current US$)", + "World/Europe/GBR/Economy/Gross domestic savings (current US$)", + "World/Europe/HRV/Economy/Gross domestic savings (current US$)", + "World/Asia/IDN/Economy/Gross domestic savings (current US$)", + "World/Asia/IND/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/IRQ/Economy/Gross domestic savings (current US$)", + "World/North Africa/ISR/Economy/Gross domestic savings (current US$)", + "World/Asia/KOR/Economy/Gross domestic savings (current US$)", + "World/North Africa/MAR/Economy/Gross domestic savings (current US$)", + "World/Latam/MEX/Economy/Gross domestic savings (current US$)", + "World/South Africa/NGA/Economy/Gross domestic savings (current US$)", + "World/Europe/NLD/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/OMN/Economy/Gross domestic savings (current US$)", + "World/Latam/PAN/Economy/Gross domestic savings (current US$)", + "World/Latam/PER/Economy/Gross domestic savings (current US$)", + "World/Asia/PHL/Economy/Gross domestic savings (current US$)", + "World/Europe/POL/Economy/Gross domestic savings (current US$)", + "World/Persian 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"World/Latam/BRA/Economy/Gross fixed capital formation (current US$)", + "World/Latam/CHL/Economy/Gross fixed capital formation (current US$)", + "World/Pair/CHN/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/CMR/Economy/Gross fixed capital formation (current US$)", + "World/Latam/COL/Economy/Gross fixed capital formation (current US$)", + "World/Latam/CRI/Economy/Gross fixed capital formation (current US$)", + "World/Europe/DEU/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/DZA/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/EGY/Economy/Gross fixed capital formation (current US$)", + "World/Europe/FRA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/GBR/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/GHA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/HRV/Economy/Gross fixed capital formation (current US$)", + "World/Asia/IDN/Economy/Gross fixed capital formation (current US$)", + "World/Asia/IND/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/ISR/Economy/Gross fixed capital formation (current US$)", + "World/Asia/KOR/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/MAR/Economy/Gross fixed capital formation (current US$)", + "World/Latam/MEX/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/MOZ/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/NGA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/NLD/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/OMN/Economy/Gross fixed capital formation (current US$)", + "World/Latam/PAN/Economy/Gross fixed capital formation (current US$)", + "World/Latam/PER/Economy/Gross fixed capital formation (current US$)", + "World/Asia/PHL/Economy/Gross fixed capital formation (current US$)", + "World/Europe/POL/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/SAU/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/SEN/Economy/Gross fixed capital formation (current US$)", + "World/Europe/SWE/Economy/Gross fixed capital formation (current US$)", + "World/Asia/THA/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/TUR/Economy/Gross fixed capital formation (current US$)", + "World/Pair/USA/Economy/Gross fixed capital formation (current US$)", + "World/Latam/VEN/Economy/Gross fixed capital formation (current US$)", + "World/Asia/VNM/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/ZAF/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/ARE/Economy/Gross national expenditure (current US$)", + "World/Latam/ARG/Economy/Gross national expenditure (current US$)", + "World/Europe/AUT/Economy/Gross national expenditure (current US$)", + "World/Persian 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"World/South Africa/GHA/Economy/Gross national expenditure (current US$)", + "World/Europe/GRC/Economy/Gross national expenditure (current US$)", + "World/Europe/HRV/Economy/Gross national expenditure (current US$)", + "World/Asia/IDN/Economy/Gross national expenditure (current US$)", + "World/Asia/IND/Economy/Gross national expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/Gross national expenditure (current US$)", + "World/North Africa/ISR/Economy/Gross national expenditure (current US$)", + "World/Asia/KOR/Economy/Gross national expenditure (current US$)", + "World/North Africa/MAR/Economy/Gross national expenditure (current US$)", + "World/Latam/MEX/Economy/Gross national expenditure (current US$)", + "World/South Africa/MOZ/Economy/Gross national expenditure (current US$)", + "World/South Africa/NGA/Economy/Gross national expenditure (current US$)", + "World/Europe/NLD/Economy/Gross national expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Gross national 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Africa/MOZ/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/NGA/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/NLD/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Persian Gulf/OMN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Latam/PAN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Latam/PER/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/POL/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Persian Gulf/SAU/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/SEN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/SWE/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/North Africa/TUR/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Pair/USA/Economy/Gross value added at basic 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"World/Latam/MEX/Health/Hospital beds (per 1,000 people)", + "World/South Africa/MOZ/Health/Hospital beds (per 1,000 people)", + "World/South Africa/NGA/Health/Hospital beds (per 1,000 people)", + "World/Europe/NLD/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/OMN/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/SAU/Health/Hospital beds (per 1,000 people)", + "World/North Africa/TUR/Health/Hospital beds (per 1,000 people)", + "World/Pair/USA/Health/Hospital beds (per 1,000 people)", + "World/South Africa/ZAF/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/ARE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + 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"World/Asia/KOR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/PER/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/POL/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/THA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Pair/USA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/AUT/Exports/ICT service exports (BoP, current US$)", + "World/Asia/BGD/Exports/ICT service exports (BoP, current US$)", + "World/Latam/CHL/Exports/ICT service exports (BoP, current US$)", + "World/Pair/CHN/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/CMR/Exports/ICT service exports (BoP, current US$)", + "World/Latam/CRI/Exports/ICT service exports (BoP, current US$)", + "World/Europe/DEU/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/DZA/Exports/ICT service exports (BoP, current US$)", + "World/Europe/ESP/Exports/ICT service exports (BoP, current US$)", + "World/Europe/GBR/Exports/ICT service exports (BoP, current US$)", + "World/Europe/GRC/Exports/ICT service exports (BoP, current US$)", + "World/Europe/HRV/Exports/ICT service exports (BoP, current US$)", + "World/Asia/IND/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/ISR/Exports/ICT service exports (BoP, current US$)", + "World/Asia/KOR/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/MAR/Exports/ICT service exports (BoP, current US$)", + "World/Latam/MEX/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/NGA/Exports/ICT service exports (BoP, current US$)", + "World/Europe/NLD/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/ICT service exports (BoP, current US$)", + "World/Latam/PAN/Exports/ICT service exports (BoP, current US$)", + "World/Europe/POL/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/QAT/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/ICT service exports (BoP, current US$)", + "World/Europe/SWE/Exports/ICT service exports (BoP, current US$)", + "World/Asia/THA/Exports/ICT service exports (BoP, current US$)", + "World/Pair/USA/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/ZAF/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/ARE/Imports/Import unit value index (2000 = 100)", + "World/Europe/AUT/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import unit value index (2000 = 100)", + "World/Asia/BGD/Imports/Import unit value index (2000 = 100)", + "World/Latam/CRI/Imports/Import unit value index (2000 = 100)", + "World/Europe/DEU/Imports/Import unit value index (2000 = 100)", + "World/North Africa/EGY/Imports/Import unit value index (2000 = 100)", + "World/Europe/ESP/Imports/Import unit value index (2000 = 100)", + "World/Europe/FRA/Imports/Import unit value index (2000 = 100)", + "World/Europe/GRC/Imports/Import unit value index (2000 = 100)", + "World/Europe/HRV/Imports/Import unit value index (2000 = 100)", + "World/Latam/MEX/Imports/Import unit value index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import unit value index (2000 = 100)", + "World/Europe/NLD/Imports/Import unit value index (2000 = 100)", + "World/Latam/PAN/Imports/Import unit value index (2000 = 100)", + "World/Europe/POL/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import unit value index (2000 = 100)", + "World/Europe/SWE/Imports/Import unit value index (2000 = 100)", + "World/Asia/THA/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/ARE/Imports/Import value index (2000 = 100)", + "World/Latam/ARG/Imports/Import value index (2000 = 100)", + "World/Europe/AUT/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import value index (2000 = 100)", + "World/Asia/BGD/Imports/Import value index (2000 = 100)", + "World/Latam/BRA/Imports/Import value index (2000 = 100)", + "World/Latam/CHL/Imports/Import value index (2000 = 100)", + "World/Pair/CHN/Imports/Import value index (2000 = 100)", + "World/Latam/COL/Imports/Import value index (2000 = 100)", + "World/Latam/CRI/Imports/Import value index (2000 = 100)", + "World/Europe/DEU/Imports/Import value index (2000 = 100)", + "World/North Africa/DZA/Imports/Import value index (2000 = 100)", + "World/North Africa/EGY/Imports/Import value index (2000 = 100)", + "World/Europe/ESP/Imports/Import value index (2000 = 100)", + "World/Europe/FRA/Imports/Import value index (2000 = 100)", + "World/Europe/GBR/Imports/Import value index (2000 = 100)", + "World/Europe/GRC/Imports/Import value index (2000 = 100)", + "World/Europe/HRV/Imports/Import value index (2000 = 100)", + "World/Asia/IDN/Imports/Import value index (2000 = 100)", + "World/Asia/IND/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/IRQ/Imports/Import value index (2000 = 100)", + "World/North Africa/ISR/Imports/Import value index (2000 = 100)", + "World/Asia/KOR/Imports/Import value index (2000 = 100)", + "World/North Africa/MAR/Imports/Import value index (2000 = 100)", + "World/Latam/MEX/Imports/Import value index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import value index (2000 = 100)", + "World/South Africa/NGA/Imports/Import value index (2000 = 100)", + "World/Europe/NLD/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/OMN/Imports/Import value index (2000 = 100)", + "World/Latam/PAN/Imports/Import value index (2000 = 100)", + "World/Latam/PER/Imports/Import value index (2000 = 100)", + "World/Asia/PHL/Imports/Import value index (2000 = 100)", + "World/Europe/POL/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/SAU/Imports/Import value index (2000 = 100)", + "World/South Africa/SEN/Imports/Import value index (2000 = 100)", + "World/Europe/SWE/Imports/Import value index (2000 = 100)", + "World/Asia/THA/Imports/Import value index (2000 = 100)", + "World/North Africa/TUR/Imports/Import value index (2000 = 100)", + "World/Pair/USA/Imports/Import value index (2000 = 100)", + "World/Asia/VNM/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/YEM/Imports/Import value index (2000 = 100)", + "World/South Africa/ZAF/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/ARE/Imports/Import volume index (2000 = 100)", + "World/Latam/ARG/Imports/Import volume index (2000 = 100)", + "World/Europe/AUT/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import volume index (2000 = 100)", + "World/Asia/BGD/Imports/Import volume index (2000 = 100)", + "World/Latam/BRA/Imports/Import volume index (2000 = 100)", + "World/Latam/CHL/Imports/Import volume index (2000 = 100)", + "World/Pair/CHN/Imports/Import volume index (2000 = 100)", + "World/Latam/COL/Imports/Import volume index (2000 = 100)", + "World/Latam/CRI/Imports/Import volume index (2000 = 100)", + "World/Europe/DEU/Imports/Import volume index (2000 = 100)", + "World/North Africa/DZA/Imports/Import volume index (2000 = 100)", + "World/North Africa/EGY/Imports/Import volume index (2000 = 100)", + "World/Europe/GBR/Imports/Import volume index (2000 = 100)", + "World/Asia/IDN/Imports/Import volume index (2000 = 100)", + "World/Asia/IND/Imports/Import volume index (2000 = 100)", + "World/North Africa/ISR/Imports/Import volume index (2000 = 100)", + "World/Asia/KOR/Imports/Import volume index (2000 = 100)", + "World/North Africa/MAR/Imports/Import volume index (2000 = 100)", + "World/Latam/MEX/Imports/Import volume index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import volume index (2000 = 100)", + "World/South Africa/NGA/Imports/Import volume index (2000 = 100)", + "World/Europe/NLD/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/OMN/Imports/Import volume index (2000 = 100)", + "World/Latam/PAN/Imports/Import volume index (2000 = 100)", + "World/Latam/PER/Imports/Import volume index (2000 = 100)", + "World/Asia/PHL/Imports/Import volume index (2000 = 100)", + "World/Europe/POL/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/SAU/Imports/Import volume index (2000 = 100)", + "World/South Africa/SEN/Imports/Import volume index (2000 = 100)", + "World/Asia/THA/Imports/Import volume index (2000 = 100)", + "World/North Africa/TUR/Imports/Import volume index (2000 = 100)", + "World/Pair/USA/Imports/Import volume index (2000 = 100)", + "World/Latam/VEN/Imports/Import volume index (2000 = 100)", + "World/Asia/VNM/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/YEM/Imports/Import volume index (2000 = 100)", + "World/South Africa/ZAF/Imports/Import volume index (2000 = 100)", + "World/Latam/ARG/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/AUT/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/AZE/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/BGD/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/BRA/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/CHL/Imports/Imports of goods and services (BoP, current US$)", + "World/Pair/CHN/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/CMR/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/COL/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/CRI/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/DEU/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/DZA/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/EGY/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/ESP/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/FRA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/GBR/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/GHA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/GRC/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/HRV/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/IDN/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/IND/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/ISR/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/KOR/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/MAR/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/MEX/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/MOZ/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/NGA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/NLD/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/PAN/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/PER/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/PHL/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/POL/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/SAU/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/SEN/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/SWE/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/THA/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/TUR/Imports/Imports of goods and services (BoP, current US$)", + "World/Pair/USA/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/VNM/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/YEM/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/ZAF/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/ARE/Imports/Imports of goods and services (current US$)", + "World/Latam/ARG/Imports/Imports of goods and services (current US$)", + "World/Europe/AUT/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/AZE/Imports/Imports of goods and services (current US$)", + "World/Asia/BGD/Imports/Imports of goods and services (current US$)", + "World/Latam/BRA/Imports/Imports of goods and services (current US$)", + "World/Latam/CHL/Imports/Imports of goods and services (current US$)", + "World/Pair/CHN/Imports/Imports of goods and services (current US$)", + "World/Latam/COL/Imports/Imports of goods and services (current US$)", + "World/Latam/CRI/Imports/Imports of goods and services (current US$)", + "World/Europe/DEU/Imports/Imports of goods and services (current US$)", + "World/North Africa/DZA/Imports/Imports of goods and services (current US$)", + "World/North Africa/EGY/Imports/Imports of goods and services (current US$)", + "World/Europe/ESP/Imports/Imports of goods and services (current US$)", + "World/Europe/FRA/Imports/Imports of goods and services (current US$)", + "World/Europe/GBR/Imports/Imports of goods and services (current US$)", + "World/South Africa/GHA/Imports/Imports of goods and services (current US$)", + "World/Europe/GRC/Imports/Imports of goods and services (current US$)", + "World/Europe/HRV/Imports/Imports of goods and services (current US$)", + "World/Asia/IDN/Imports/Imports of goods and services (current US$)", + "World/Asia/IND/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/IRQ/Imports/Imports of goods and services (current US$)", + "World/North Africa/ISR/Imports/Imports of goods and services (current US$)", + "World/Asia/KOR/Imports/Imports of goods and services (current US$)", + "World/North Africa/MAR/Imports/Imports of goods and services (current US$)", + "World/Latam/MEX/Imports/Imports of goods and services (current US$)", + "World/South Africa/MOZ/Imports/Imports of goods and services (current US$)", + "World/South Africa/NGA/Imports/Imports of goods and services (current US$)", + "World/Europe/NLD/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/OMN/Imports/Imports of goods and services (current US$)", + "World/Latam/PAN/Imports/Imports of goods and services (current US$)", + "World/Latam/PER/Imports/Imports of goods and services (current US$)", + "World/Asia/PHL/Imports/Imports of goods and services (current US$)", + "World/Europe/POL/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/QAT/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/SAU/Imports/Imports of goods and services (current US$)", + "World/South Africa/SEN/Imports/Imports of goods and services (current US$)", + "World/Europe/SWE/Imports/Imports of goods and services (current US$)", + "World/Asia/THA/Imports/Imports of goods and services (current US$)", + "World/North Africa/TUR/Imports/Imports of goods and services (current US$)", + "World/Pair/USA/Imports/Imports of goods and services (current US$)", + "World/Latam/VEN/Imports/Imports of goods and services (current US$)", + "World/Asia/VNM/Imports/Imports of goods and services (current US$)", + "World/South Africa/ZAF/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/ARE/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/AUT/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/AZE/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/BRA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Pair/CHN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/CMR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/CRI/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/EGY/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/ESP/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/GBR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/GHA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/HRV/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/IDN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/IND/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/IRQ/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/ISR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/LBR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/MOZ/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/OMN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/PER/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/POL/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/QAT/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/SAU/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/SEN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/THA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/TUR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Pair/USA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/VNM/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/YEM/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/ARE/Economy/Industry (including construction), value added (current US$)", + "World/Latam/ARG/Economy/Industry (including construction), value added (current US$)", + "World/Europe/AUT/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/AZE/Economy/Industry (including construction), value added (current US$)", + "World/Asia/BGD/Economy/Industry (including construction), value added (current US$)", + "World/Latam/BRA/Economy/Industry (including construction), value added (current US$)", + "World/Latam/CHL/Economy/Industry (including construction), value added (current US$)", + "World/Pair/CHN/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/CMR/Economy/Industry (including construction), value added (current US$)", + "World/Latam/COL/Economy/Industry (including construction), value added (current US$)", + "World/Latam/CRI/Economy/Industry (including construction), value added (current US$)", + "World/Europe/DEU/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/DZA/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/EGY/Economy/Industry (including construction), value added (current US$)", + "World/Europe/ESP/Economy/Industry (including construction), value added (current US$)", + "World/Europe/FRA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/GBR/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/GHA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/GRC/Economy/Industry (including construction), value added (current US$)", + "World/Europe/HRV/Economy/Industry (including construction), value added (current US$)", + "World/Asia/IDN/Economy/Industry (including construction), value added (current US$)", + "World/Asia/IND/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/IRQ/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/ISR/Economy/Industry (including construction), value added (current US$)", + "World/Asia/KOR/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/LBR/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/MAR/Economy/Industry (including construction), value added (current US$)", + "World/Latam/MEX/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/MOZ/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/NGA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/NLD/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/OMN/Economy/Industry (including construction), value added (current US$)", + "World/Latam/PAN/Economy/Industry (including construction), value added (current US$)", + "World/Latam/PER/Economy/Industry (including construction), value added (current US$)", + "World/Asia/PHL/Economy/Industry (including construction), value added (current US$)", + "World/Europe/POL/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/SAU/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/SEN/Economy/Industry (including construction), value added (current US$)", + "World/Europe/SWE/Economy/Industry (including construction), value added (current US$)", + "World/Asia/THA/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/TUR/Economy/Industry (including construction), value added (current US$)", + "World/Pair/USA/Economy/Industry (including construction), value added (current US$)", + "World/Latam/VEN/Economy/Industry (including construction), value added (current US$)", + "World/Asia/VNM/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/YEM/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/ZAF/Economy/Industry (including construction), value added (current US$)", + "World/Latam/BRA/Mortality/Intentional homicides (per 100,000 people)", + "World/Pair/CHN/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/COL/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/CRI/Mortality/Intentional homicides (per 100,000 people)", + "World/North Africa/EGY/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/ESP/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/GBR/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/IDN/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/IND/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/IRQ/Mortality/Intentional homicides (per 100,000 people)", + "World/North Africa/ISR/Mortality/Intentional homicides (per 100,000 people)", + "World/South Africa/MOZ/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/NLD/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/PAN/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/PER/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/POL/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/THA/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/VNM/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/YEM/Mortality/Intentional homicides (per 100,000 people)", + "World/South Africa/ZAF/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/ARE/Migration/International migrant stock (% of population)", + "World/Europe/AUT/Migration/International migrant stock (% of population)", + "World/Persian Gulf/AZE/Migration/International migrant stock (% of population)", + "World/Latam/CHL/Migration/International migrant stock (% of population)", + "World/Pair/CHN/Migration/International migrant stock (% of population)", + "World/Europe/DEU/Migration/International migrant stock (% of population)", + "World/North Africa/DZA/Migration/International migrant stock (% of population)", + "World/Europe/ESP/Migration/International migrant stock (% of population)", + "World/Europe/FRA/Migration/International migrant stock (% of population)", + "World/Europe/GBR/Migration/International migrant stock (% of population)", + "World/Europe/GRC/Migration/International migrant stock (% of population)", + "World/Europe/HRV/Migration/International migrant stock (% of population)", + "World/Asia/IND/Migration/International migrant stock (% of population)", + "World/North Africa/ISR/Migration/International migrant stock (% of population)", + "World/Asia/KOR/Migration/International migrant stock (% of population)", + "World/North Africa/MAR/Migration/International migrant stock (% of population)", + "World/Latam/MEX/Migration/International migrant stock (% of population)", + "World/South Africa/MOZ/Migration/International migrant stock (% of population)", + "World/South Africa/NGA/Migration/International migrant stock (% of population)", + "World/Europe/NLD/Migration/International migrant stock (% of population)", + "World/Latam/PAN/Migration/International migrant stock (% of population)", + "World/Latam/PER/Migration/International migrant stock (% of population)", + "World/Europe/POL/Migration/International migrant stock (% of population)", + "World/Persian Gulf/SAU/Migration/International migrant stock (% of population)", + "World/South Africa/SEN/Migration/International migrant stock (% of population)", + "World/Europe/SWE/Migration/International migrant stock (% of population)", + "World/Asia/THA/Migration/International migrant stock (% of population)", + "World/North Africa/TUR/Migration/International migrant stock (% of population)", + "World/Pair/USA/Migration/International migrant stock (% of population)", + "World/Asia/VNM/Migration/International migrant stock (% of population)", + "World/Persian Gulf/YEM/Migration/International migrant stock (% of population)", + "World/Persian Gulf/ARE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/AUT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/AZE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/BRA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/CHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Pair/CHN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/COL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/CRI/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/DEU/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/DZA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/EGY/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/GHA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/GRC/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/IDN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/IND/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/IRQ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/ISR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/KOR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/LBR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/MEX/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/MOZ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/NGA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/NLD/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/OMN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/PAN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/PER/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/PHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/POL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/QAT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/SWE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/TUR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Pair/USA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/VEN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/VNM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/YEM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/ZAF/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/ARE/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/ARG/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/AZE/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/BGD/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/CHL/Mortality/Lifetime risk of maternal death (%)", + "World/Pair/CHN/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/CMR/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/COL/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/CRI/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/EGY/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/ESP/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/GBR/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/GHA/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/GRC/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/HRV/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/IDN/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/IND/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/ISR/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/KOR/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/LBR/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/MAR/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/MEX/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/MOZ/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/NGA/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/NLD/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/PAN/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/PER/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/PHL/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/POL/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/QAT/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/SAU/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/SEN/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/THA/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/TUR/Mortality/Lifetime risk of maternal death (%)", + "World/Pair/USA/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/VNM/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/YEM/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/ARE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/ARG/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/AZE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/BGD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/CHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Pair/CHN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/CMR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/COL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/CRI/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/EGY/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/ESP/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/GBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/GHA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/GRC/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/HRV/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/IDN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/IND/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/ISR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/KOR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/LBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/MAR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/MEX/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/MOZ/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/NGA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/NLD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/PAN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/PER/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/PHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/POL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/QAT/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/SAU/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/SEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/THA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/TUR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Pair/USA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/VEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/VNM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/YEM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/ARE/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/ARG/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/AUT/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/AZE/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/BGD/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/BRA/Industry/Livestock production index (2014-2016 = 100)", + "World/Pair/CHN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/COL/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/CRI/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/DZA/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/EGY/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/GBR/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/GHA/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/IDN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/IND/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/ISR/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/KOR/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/LBR/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/MAR/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/MEX/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/MOZ/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/NGA/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/NLD/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/PAN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/PER/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/PHL/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/POL/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/SAU/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/SEN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/THA/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/TUR/Industry/Livestock production index (2014-2016 = 100)", + "World/Pair/USA/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/VEN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/VNM/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/ZAF/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/ARE/Health/Low-birthweight babies (% of births)", + "World/Asia/BGD/Health/Low-birthweight babies (% of births)", + "World/Latam/BRA/Health/Low-birthweight babies (% of births)", + "World/Latam/CHL/Health/Low-birthweight babies (% of births)", + "World/Pair/CHN/Health/Low-birthweight babies (% of births)", + "World/South Africa/CMR/Health/Low-birthweight babies (% of births)", + "World/Latam/COL/Health/Low-birthweight babies (% of births)", + "World/Latam/CRI/Health/Low-birthweight babies (% of births)", + "World/North Africa/DZA/Health/Low-birthweight babies (% of births)", + "World/Europe/ESP/Health/Low-birthweight babies (% of births)", + "World/Europe/FRA/Health/Low-birthweight babies (% of births)", + "World/Europe/GBR/Health/Low-birthweight babies (% of births)", + "World/South Africa/GHA/Health/Low-birthweight babies (% of births)", + "World/Europe/HRV/Health/Low-birthweight babies (% of births)", + "World/Asia/IDN/Health/Low-birthweight babies (% of births)", + "World/North Africa/ISR/Health/Low-birthweight babies (% of births)", + "World/Asia/KOR/Health/Low-birthweight babies (% of births)", + "World/North Africa/MAR/Health/Low-birthweight babies (% of births)", + "World/Latam/MEX/Health/Low-birthweight babies (% of births)", + "World/South Africa/MOZ/Health/Low-birthweight babies (% of births)", + "World/Europe/NLD/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/OMN/Health/Low-birthweight babies (% of births)", + "World/Latam/PAN/Health/Low-birthweight babies (% of births)", + "World/Latam/PER/Health/Low-birthweight babies (% of births)", + "World/Asia/PHL/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/QAT/Health/Low-birthweight babies (% of births)", + "World/South Africa/SEN/Health/Low-birthweight babies (% of births)", + "World/Asia/THA/Health/Low-birthweight babies (% of births)", + "World/North Africa/TUR/Health/Low-birthweight babies (% of births)", + "World/Asia/VNM/Health/Low-birthweight babies (% of births)", + "World/South Africa/ZAF/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/ARE/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/BGD/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/CHL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Pair/CHN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/COL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/South Africa/GHA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Europe/HRV/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/IDN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/IND/Economy/Market capitalization of listed domestic companies (current US$)", + "World/North Africa/ISR/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/KOR/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/MEX/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/OMN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/PAN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Europe/POL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/QAT/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/SAU/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/THA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Pair/USA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/VNM/Economy/Market capitalization of listed domestic companies (current US$)", + "World/South Africa/ZAF/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/ARE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/ARG/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/AZE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/BGD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/CHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Pair/CHN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/CMR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/CRI/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/DZA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/EGY/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/ESP/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/GBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/GHA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/HRV/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/IDN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/IND/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/ISR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/KOR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/LBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/MAR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/MEX/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/MOZ/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/NGA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/NLD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/PAN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/PER/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/PHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/POL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/QAT/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/SAU/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/SEN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/THA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/TUR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Pair/USA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/VNM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/YEM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/ARE/Exports/Merchandise exports (current US$)", + "World/Europe/AUT/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/AZE/Exports/Merchandise exports (current US$)", + "World/Asia/BGD/Exports/Merchandise exports (current US$)", + "World/Latam/BRA/Exports/Merchandise exports (current US$)", + "World/Latam/CHL/Exports/Merchandise exports (current US$)", + "World/Pair/CHN/Exports/Merchandise exports (current US$)", + "World/Latam/COL/Exports/Merchandise exports (current US$)", + "World/Latam/CRI/Exports/Merchandise exports (current US$)", + "World/Europe/DEU/Exports/Merchandise exports (current US$)", + "World/North Africa/EGY/Exports/Merchandise exports (current US$)", + "World/Europe/ESP/Exports/Merchandise exports (current US$)", + "World/Europe/FRA/Exports/Merchandise exports (current US$)", + "World/Europe/GBR/Exports/Merchandise exports (current US$)", + "World/South Africa/GHA/Exports/Merchandise exports (current US$)", + "World/Asia/IDN/Exports/Merchandise exports (current US$)", + "World/Asia/IND/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports (current US$)", + "World/North Africa/ISR/Exports/Merchandise exports (current US$)", + "World/Asia/KOR/Exports/Merchandise exports (current US$)", + "World/North Africa/MAR/Exports/Merchandise exports (current US$)", + "World/Latam/MEX/Exports/Merchandise exports (current US$)", + "World/South Africa/MOZ/Exports/Merchandise exports (current US$)", + "World/Europe/NLD/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/OMN/Exports/Merchandise exports (current US$)", + "World/Latam/PAN/Exports/Merchandise exports (current US$)", + "World/Latam/PER/Exports/Merchandise exports (current US$)", + "World/Asia/PHL/Exports/Merchandise exports (current US$)", + "World/Europe/POL/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/QAT/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/SAU/Exports/Merchandise exports (current US$)", + "World/South Africa/SEN/Exports/Merchandise exports (current US$)", + "World/Europe/SWE/Exports/Merchandise exports (current US$)", + "World/Asia/THA/Exports/Merchandise exports (current US$)", + "World/North Africa/TUR/Exports/Merchandise exports (current US$)", + "World/Pair/USA/Exports/Merchandise exports (current US$)", + "World/Latam/VEN/Exports/Merchandise exports (current US$)", + "World/Asia/VNM/Exports/Merchandise exports (current US$)", + "World/South Africa/ZAF/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/ARE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/AUT/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/AZE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/BGD/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/BRA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/CHL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Pair/CHN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/COL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/CRI/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/DEU/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/DZA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/EGY/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/ESP/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/FRA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/GBR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/GHA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/IDN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/IND/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/KOR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/MAR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/MEX/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/MOZ/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/NGA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/NLD/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/OMN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/PER/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/PHL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/POL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/QAT/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/SEN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/SWE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/THA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/TUR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Pair/USA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/VEN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/VNM/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/ZAF/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/AZE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/BGD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/GBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/LBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/MOZ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/NGA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/NLD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/PAN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/PER/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/PHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/POL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/QAT/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/SWE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/THA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Pair/USA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/VEN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/ZAF/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/AUT/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/BRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/FRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/IND/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/MOZ/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/NGA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/NLD/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/OMN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/PAN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/PER/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/PHL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/QAT/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/SAU/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Pair/USA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/ZAF/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/ARE/Imports/Merchandise imports (current US$)", + "World/Latam/ARG/Imports/Merchandise imports (current US$)", + "World/Europe/AUT/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/AZE/Imports/Merchandise imports (current US$)", + "World/Asia/BGD/Imports/Merchandise imports (current US$)", + "World/Latam/BRA/Imports/Merchandise imports (current US$)", + "World/Latam/CHL/Imports/Merchandise imports (current US$)", + "World/Pair/CHN/Imports/Merchandise imports (current US$)", + "World/Latam/COL/Imports/Merchandise imports (current US$)", + "World/Latam/CRI/Imports/Merchandise imports (current US$)", + "World/Europe/DEU/Imports/Merchandise imports (current US$)", + "World/North Africa/DZA/Imports/Merchandise imports (current US$)", + "World/North Africa/EGY/Imports/Merchandise imports (current US$)", + "World/Europe/ESP/Imports/Merchandise imports (current US$)", + "World/Europe/FRA/Imports/Merchandise imports (current US$)", + "World/Europe/GBR/Imports/Merchandise imports (current US$)", + "World/Europe/GRC/Imports/Merchandise imports (current US$)", + "World/Europe/HRV/Imports/Merchandise imports (current US$)", + "World/Asia/IDN/Imports/Merchandise imports (current US$)", + "World/Asia/IND/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/IRQ/Imports/Merchandise imports (current US$)", + "World/North Africa/ISR/Imports/Merchandise imports (current US$)", + "World/Asia/KOR/Imports/Merchandise imports (current US$)", + "World/North Africa/MAR/Imports/Merchandise imports (current US$)", + "World/Latam/MEX/Imports/Merchandise imports (current US$)", + "World/South Africa/MOZ/Imports/Merchandise imports (current US$)", + "World/South Africa/NGA/Imports/Merchandise imports (current US$)", + "World/Europe/NLD/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/OMN/Imports/Merchandise imports (current US$)", + "World/Latam/PAN/Imports/Merchandise imports (current US$)", + "World/Latam/PER/Imports/Merchandise imports (current US$)", + "World/Asia/PHL/Imports/Merchandise imports (current US$)", + "World/Europe/POL/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/QAT/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/SAU/Imports/Merchandise imports (current US$)", + "World/South Africa/SEN/Imports/Merchandise imports (current US$)", + "World/Europe/SWE/Imports/Merchandise imports (current US$)", + "World/Asia/THA/Imports/Merchandise imports (current US$)", + "World/North Africa/TUR/Imports/Merchandise imports (current US$)", + "World/Pair/USA/Imports/Merchandise imports (current US$)", + "World/Asia/VNM/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/YEM/Imports/Merchandise imports (current US$)", + "World/South Africa/ZAF/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/ARE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/ARG/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/AUT/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/AZE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/BGD/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/BRA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/CHL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Pair/CHN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/CMR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/COL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/CRI/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/DEU/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/DZA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/EGY/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/ESP/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/FRA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/GBR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/GHA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/GRC/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/HRV/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/IDN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/IND/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/IRQ/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/ISR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/KOR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/MAR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/MEX/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/MOZ/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/NGA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/NLD/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/OMN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/PAN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/PER/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/PHL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/POL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/QAT/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/SAU/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/SEN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/SWE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/THA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/TUR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Pair/USA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/VNM/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/ZAF/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/BGD/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/IDN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/South Africa/NGA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/OMN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/PHL/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/THA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/VNM/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/YEM/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/CHL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/DEU/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/FRA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/IDN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/MOZ/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/NGA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/NLD/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/PAN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/PHL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/SWE/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/THA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/VNM/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/ARG/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/CHL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/South Africa/LBR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/PAN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/SWE/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/South Africa/ZAF/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/FRA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/MOZ/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/NLD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/OMN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/SEN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/YEM/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/ARE/Environment/Methane emissions (% change from 1990)", + "World/Europe/AUT/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/AZE/Environment/Methane emissions (% change from 1990)", + "World/Asia/BGD/Environment/Methane emissions (% change from 1990)", + "World/Latam/CHL/Environment/Methane emissions (% change from 1990)", + "World/Pair/CHN/Environment/Methane emissions (% change from 1990)", + "World/Latam/COL/Environment/Methane emissions (% change from 1990)", + "World/Europe/DEU/Environment/Methane emissions (% change from 1990)", + "World/North Africa/DZA/Environment/Methane emissions (% change from 1990)", + "World/North Africa/EGY/Environment/Methane emissions (% change from 1990)", + "World/Europe/ESP/Environment/Methane emissions (% change from 1990)", + "World/Europe/FRA/Environment/Methane emissions (% change from 1990)", + "World/Europe/GBR/Environment/Methane emissions (% change from 1990)", + "World/South Africa/GHA/Environment/Methane emissions (% change from 1990)", + "World/Asia/IND/Environment/Methane emissions (% change from 1990)", + "World/Asia/KOR/Environment/Methane emissions (% change from 1990)", + "World/North Africa/MAR/Environment/Methane emissions (% change from 1990)", + "World/Latam/MEX/Environment/Methane emissions (% change from 1990)", + "World/Europe/NLD/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Methane emissions (% change from 1990)", + "World/Latam/PAN/Environment/Methane emissions (% change from 1990)", + "World/Latam/PER/Environment/Methane emissions (% change from 1990)", + "World/Asia/PHL/Environment/Methane emissions (% change from 1990)", + "World/Europe/POL/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/SAU/Environment/Methane emissions (% change from 1990)", + "World/North Africa/TUR/Environment/Methane emissions (% change from 1990)", + "World/Pair/USA/Environment/Methane emissions (% change from 1990)", + "World/Asia/VNM/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/ARG/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/AUT/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/BGD/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/BRA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Pair/CHN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/CMR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/COL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/CRI/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/DEU/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/DZA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/EGY/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/FRA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/GBR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/GHA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/IND/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/ISR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/LBR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/MAR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/MEX/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/NGA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/NLD/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/PAN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/PER/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/PHL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/POL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/SAU/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/SEN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/TUR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Pair/USA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/VNM/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/ARE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/AUT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/CMR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/COL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/DEU/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/EGY/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GRC/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/IRQ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/KOR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/PAN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/POL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/SEN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/THA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Pair/USA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Military/Military expenditure (current USD)", + "World/Europe/AUT/Military/Military expenditure (current USD)", + "World/Persian Gulf/AZE/Military/Military expenditure (current USD)", + "World/Asia/BGD/Military/Military expenditure (current USD)", + "World/Latam/BRA/Military/Military expenditure (current USD)", + "World/Latam/CHL/Military/Military expenditure (current USD)", + "World/Pair/CHN/Military/Military expenditure (current USD)", + "World/South Africa/CMR/Military/Military expenditure (current USD)", + "World/Latam/COL/Military/Military expenditure (current USD)", + "World/North Africa/DZA/Military/Military expenditure (current USD)", + "World/North Africa/EGY/Military/Military expenditure (current USD)", + "World/Europe/ESP/Military/Military expenditure (current USD)", + "World/Europe/FRA/Military/Military expenditure (current USD)", + "World/South Africa/GHA/Military/Military expenditure (current USD)", + "World/Europe/GRC/Military/Military expenditure (current USD)", + "World/Asia/IDN/Military/Military expenditure (current USD)", + "World/Asia/IND/Military/Military expenditure (current USD)", + "World/North Africa/ISR/Military/Military expenditure (current USD)", + "World/Asia/KOR/Military/Military expenditure (current USD)", + "World/North Africa/MAR/Military/Military expenditure (current USD)", + "World/Latam/MEX/Military/Military expenditure (current USD)", + "World/South Africa/MOZ/Military/Military expenditure (current USD)", + "World/South Africa/NGA/Military/Military expenditure (current USD)", + "World/Europe/NLD/Military/Military expenditure (current USD)", + "World/Persian Gulf/OMN/Military/Military expenditure (current USD)", + "World/Latam/PER/Military/Military expenditure (current USD)", + "World/Asia/PHL/Military/Military expenditure (current USD)", + "World/Europe/POL/Military/Military expenditure (current USD)", + "World/Persian Gulf/SAU/Military/Military expenditure (current USD)", + "World/South Africa/SEN/Military/Military expenditure (current USD)", + "World/Asia/THA/Military/Military expenditure (current USD)", + "World/North Africa/TUR/Military/Military expenditure (current USD)", + "World/Pair/USA/Military/Military expenditure (current USD)", + "World/Asia/VNM/Military/Military expenditure (current USD)", + "World/Persian Gulf/YEM/Military/Military expenditure (current USD)", + "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions", + "World/Latam/BRA/Internet/Mobile cellular subscriptions", + "World/Latam/CHL/Internet/Mobile cellular subscriptions", + "World/Pair/CHN/Internet/Mobile cellular subscriptions", + "World/Europe/DEU/Internet/Mobile cellular subscriptions", + "World/North Africa/DZA/Internet/Mobile cellular subscriptions", + "World/North Africa/EGY/Internet/Mobile cellular subscriptions", + "World/Europe/FRA/Internet/Mobile cellular subscriptions", + "World/Europe/GBR/Internet/Mobile cellular subscriptions", + "World/Europe/HRV/Internet/Mobile cellular subscriptions", + "World/Asia/IDN/Internet/Mobile cellular subscriptions", + "World/North Africa/ISR/Internet/Mobile cellular subscriptions", + "World/Asia/KOR/Internet/Mobile cellular subscriptions", + "World/North Africa/MAR/Internet/Mobile cellular subscriptions", + "World/Latam/MEX/Internet/Mobile cellular subscriptions", + "World/Europe/NLD/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions", + "World/Latam/PER/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions", + "World/Europe/SWE/Internet/Mobile cellular subscriptions", + "World/Asia/THA/Internet/Mobile cellular subscriptions", + "World/North Africa/TUR/Internet/Mobile cellular subscriptions", + "World/Pair/USA/Internet/Mobile cellular subscriptions", + "World/South Africa/ZAF/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/BRA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/CHL/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Pair/CHN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/DEU/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/DZA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/EGY/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/FRA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/HRV/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/IDN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/ISR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/KOR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/MAR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/MEX/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/NLD/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/PER/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/SWE/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/THA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/TUR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Pair/USA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/VEN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/South Africa/ZAF/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/ARE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/AZE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/BGD/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/CHL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Pair/CHN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/CMR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/COL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/CRI/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/DEU/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/DZA/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/EGY/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/FRA/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/GRC/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/HRV/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/IND/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/KOR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/LBR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/MAR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/MEX/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/OMN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/PAN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/PER/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/POL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/QAT/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/SAU/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/SEN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/SWE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/TUR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/VEN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/VNM/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/AUT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/AZE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/BGD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Pair/CHN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/CMR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/DEU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/DZA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/ESP/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/GBR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/GRC/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/HRV/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/IDN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/ISR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/KOR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/MAR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Latam/MEX/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/MOZ/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/NGA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/NLD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/OMN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/PHL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/POL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/QAT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/SAU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/SWE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/THA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/TUR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Latam/VEN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/VNM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/YEM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/ARE/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/AUT/Economy/Net barter terms of trade index (2000 = 100)", + "World/Latam/BRA/Economy/Net barter terms of trade index (2000 = 100)", + "World/Latam/COL/Economy/Net barter terms of trade index (2000 = 100)", + "World/North Africa/DZA/Economy/Net barter terms of trade index (2000 = 100)", + "World/North Africa/EGY/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/ESP/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/GHA/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/KOR/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/LBR/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/NLD/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/SWE/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/VNM/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/ZAF/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/BGD/Economy/Net primary income (BoP, current US$)", + "World/Latam/BRA/Economy/Net primary income (BoP, current US$)", + "World/Latam/COL/Economy/Net primary income (BoP, current US$)", + "World/Latam/CRI/Economy/Net primary income (BoP, current US$)", + "World/North Africa/EGY/Economy/Net primary income (BoP, current US$)", + "World/Europe/FRA/Economy/Net primary income (BoP, current US$)", + "World/South Africa/GHA/Economy/Net primary income (BoP, current US$)", + "World/Asia/IDN/Economy/Net primary income (BoP, current US$)", + "World/Asia/IND/Economy/Net primary income (BoP, current US$)", + "World/Asia/KOR/Economy/Net primary income (BoP, current US$)", + "World/Latam/MEX/Economy/Net primary income (BoP, current US$)", + "World/Persian Gulf/OMN/Economy/Net primary income (BoP, current US$)", + "World/Latam/PAN/Economy/Net primary income (BoP, current US$)", + "World/Europe/POL/Economy/Net primary income (BoP, current US$)", + "World/Persian Gulf/QAT/Economy/Net primary income (BoP, current US$)", + "World/Asia/THA/Economy/Net primary income (BoP, current US$)", + "World/North 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"World/Latam/MEX/Economy/Net secondary income (BoP, current US$)", + "World/South Africa/NGA/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/OMN/Economy/Net secondary income (BoP, current US$)", + "World/Latam/PER/Economy/Net secondary income (BoP, current US$)", + "World/Asia/PHL/Economy/Net secondary income (BoP, current US$)", + "World/Europe/POL/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/SAU/Economy/Net secondary income (BoP, current US$)", + "World/South Africa/SEN/Economy/Net secondary income (BoP, current US$)", + "World/Europe/SWE/Economy/Net secondary income (BoP, current US$)", + "World/Asia/THA/Economy/Net secondary income (BoP, current US$)", + "World/Pair/USA/Economy/Net secondary income (BoP, current US$)", + "World/Latam/VEN/Economy/Net secondary income (BoP, current US$)", + "World/Asia/VNM/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/YEM/Economy/Net secondary income (BoP, current US$)", + 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"World/Europe/GBR/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/GHA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/GRC/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Asia/IND/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/NGA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/NLD/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Latam/PAN/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Latam/PER/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/SWE/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Pair/USA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Asia/VNM/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/ZAF/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/BRA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Environment/Nitrous oxide 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"World/Europe/NLD/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/TUR/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Environment/Nitrous oxide emissions in energy sector (thousand 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"World/Europe/FRA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GBR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/KOR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Environment/Nitrous oxide emissions 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"World/Pair/CHN/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 15-19 years", + "World/Latam/COL/Mortality/Number of deaths ages 15-19 years", + "World/Europe/DEU/Mortality/Number of deaths ages 15-19 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 15-19 years", + "World/Europe/ESP/Mortality/Number of deaths ages 15-19 years", + "World/Europe/FRA/Mortality/Number of deaths ages 15-19 years", + "World/Europe/GBR/Mortality/Number of deaths ages 15-19 years", + "World/Europe/GRC/Mortality/Number of deaths ages 15-19 years", + "World/Europe/HRV/Mortality/Number of deaths ages 15-19 years", + "World/Asia/IND/Mortality/Number of deaths ages 15-19 years", + "World/Asia/KOR/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/LBR/Mortality/Number of deaths ages 15-19 years", + "World/North Africa/MAR/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/NGA/Mortality/Number of deaths ages 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of deaths ages 15-19 years", + "World/Europe/AUT/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/AZE/Mortality/Number of deaths ages 20-24 years", + "World/Asia/BGD/Mortality/Number of deaths ages 20-24 years", + "World/Latam/CHL/Mortality/Number of deaths ages 20-24 years", + "World/Pair/CHN/Mortality/Number of deaths ages 20-24 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 20-24 years", + "World/Latam/COL/Mortality/Number of deaths ages 20-24 years", + "World/Latam/CRI/Mortality/Number of deaths ages 20-24 years", + "World/Europe/DEU/Mortality/Number of deaths ages 20-24 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 20-24 years", + "World/Europe/ESP/Mortality/Number of deaths ages 20-24 years", + "World/Europe/FRA/Mortality/Number of deaths ages 20-24 years", + "World/Europe/GBR/Mortality/Number of deaths ages 20-24 years", + "World/Europe/GRC/Mortality/Number of deaths ages 20-24 years", + "World/Europe/HRV/Mortality/Number 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"World/North Africa/TUR/Mortality/Number of deaths ages 20-24 years", + "World/Latam/VEN/Mortality/Number of deaths ages 20-24 years", + "World/Asia/VNM/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/YEM/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/ARE/Mortality/Number of deaths ages 5-9 years", + "World/Latam/ARG/Mortality/Number of deaths ages 5-9 years", + "World/Europe/AUT/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/AZE/Mortality/Number of deaths ages 5-9 years", + "World/Asia/BGD/Mortality/Number of deaths ages 5-9 years", + "World/Latam/BRA/Mortality/Number of deaths ages 5-9 years", + "World/Latam/CHL/Mortality/Number of deaths ages 5-9 years", + "World/Pair/CHN/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 5-9 years", + "World/Latam/COL/Mortality/Number of deaths ages 5-9 years", + "World/Latam/CRI/Mortality/Number of deaths ages 5-9 years", + "World/Europe/DEU/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/EGY/Mortality/Number of deaths ages 5-9 years", + "World/Europe/ESP/Mortality/Number of deaths ages 5-9 years", + "World/Europe/FRA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/GBR/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/GHA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/GRC/Mortality/Number of deaths ages 5-9 years", + "World/Europe/HRV/Mortality/Number of deaths ages 5-9 years", + "World/Asia/IDN/Mortality/Number of deaths ages 5-9 years", + "World/Asia/IND/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/ISR/Mortality/Number of deaths ages 5-9 years", + "World/Asia/KOR/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/MAR/Mortality/Number of deaths ages 5-9 years", + "World/Latam/MEX/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/MOZ/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/NGA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/NLD/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/OMN/Mortality/Number of deaths ages 5-9 years", + "World/Latam/PAN/Mortality/Number of deaths ages 5-9 years", + "World/Latam/PER/Mortality/Number of deaths ages 5-9 years", + "World/Europe/POL/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/QAT/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/SAU/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/SEN/Mortality/Number of deaths ages 5-9 years", + "World/Asia/THA/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/TUR/Mortality/Number of deaths ages 5-9 years", + "World/Pair/USA/Mortality/Number of deaths ages 5-9 years", + "World/Asia/VNM/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/YEM/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/ARE/Mortality/Number of infant deaths", + "World/Latam/ARG/Mortality/Number of infant deaths", + "World/Europe/AUT/Mortality/Number of infant deaths", + "World/Persian Gulf/AZE/Mortality/Number of infant deaths", + "World/Asia/BGD/Mortality/Number of infant deaths", + "World/Latam/BRA/Mortality/Number of infant deaths", + "World/Latam/CHL/Mortality/Number of infant deaths", + "World/Pair/CHN/Mortality/Number of infant deaths", + "World/South Africa/CMR/Mortality/Number of infant deaths", + "World/Latam/COL/Mortality/Number of infant deaths", + "World/Latam/CRI/Mortality/Number of infant deaths", + "World/North Africa/EGY/Mortality/Number of infant deaths", + "World/Europe/FRA/Mortality/Number of infant deaths", + "World/Europe/GBR/Mortality/Number of infant deaths", + "World/South Africa/GHA/Mortality/Number of infant deaths", + "World/Europe/GRC/Mortality/Number of infant deaths", + "World/Europe/HRV/Mortality/Number of infant deaths", + "World/Asia/IDN/Mortality/Number of infant deaths", + "World/Asia/IND/Mortality/Number of infant deaths", + "World/Persian Gulf/IRQ/Mortality/Number of infant deaths", + "World/North Africa/ISR/Mortality/Number of infant deaths", + "World/Asia/KOR/Mortality/Number of infant deaths", + "World/South Africa/LBR/Mortality/Number of infant deaths", + "World/North Africa/MAR/Mortality/Number of infant deaths", + "World/Latam/MEX/Mortality/Number of infant deaths", + "World/South Africa/MOZ/Mortality/Number of infant deaths", + "World/Europe/NLD/Mortality/Number of infant deaths", + "World/Persian Gulf/OMN/Mortality/Number of infant deaths", + "World/Latam/PAN/Mortality/Number of infant deaths", + "World/Latam/PER/Mortality/Number of infant deaths", + "World/Asia/PHL/Mortality/Number of infant deaths", + "World/Europe/POL/Mortality/Number of infant deaths", + "World/Persian Gulf/SAU/Mortality/Number of infant deaths", + "World/South Africa/SEN/Mortality/Number of infant deaths", + "World/Europe/SWE/Mortality/Number of infant deaths", + "World/Asia/THA/Mortality/Number of infant deaths", + "World/North Africa/TUR/Mortality/Number of infant deaths", + "World/Pair/USA/Mortality/Number of infant deaths", + "World/Asia/VNM/Mortality/Number of infant deaths", + "World/Latam/ARG/Mortality/Number of maternal deaths", + "World/Persian Gulf/AZE/Mortality/Number of maternal deaths", + "World/Asia/BGD/Mortality/Number of maternal deaths", + "World/Latam/BRA/Mortality/Number of maternal deaths", + "World/Latam/CHL/Mortality/Number of maternal deaths", + "World/Pair/CHN/Mortality/Number of maternal deaths", + "World/South Africa/CMR/Mortality/Number of maternal deaths", + "World/Latam/COL/Mortality/Number of maternal deaths", + "World/Latam/CRI/Mortality/Number of maternal deaths", + "World/North Africa/DZA/Mortality/Number of maternal deaths", + "World/North Africa/EGY/Mortality/Number of maternal deaths", + "World/Europe/FRA/Mortality/Number of maternal deaths", + "World/Europe/GBR/Mortality/Number of maternal deaths", + "World/Europe/HRV/Mortality/Number of maternal deaths", + "World/Asia/IDN/Mortality/Number of maternal deaths", + "World/Asia/IND/Mortality/Number of maternal deaths", + "World/North Africa/ISR/Mortality/Number of maternal deaths", + "World/Asia/KOR/Mortality/Number of maternal deaths", + "World/North Africa/MAR/Mortality/Number of maternal deaths", + "World/Latam/MEX/Mortality/Number of maternal deaths", + "World/South Africa/MOZ/Mortality/Number of maternal deaths", + "World/South Africa/NGA/Mortality/Number of maternal deaths", + "World/Europe/NLD/Mortality/Number of maternal deaths", + "World/Persian Gulf/OMN/Mortality/Number of maternal deaths", + "World/Latam/PAN/Mortality/Number of maternal deaths", + "World/Latam/PER/Mortality/Number of maternal deaths", + "World/Asia/PHL/Mortality/Number of maternal deaths", + "World/Europe/POL/Mortality/Number of maternal deaths", + "World/Persian Gulf/SAU/Mortality/Number of maternal deaths", + "World/South Africa/SEN/Mortality/Number of maternal deaths", + "World/Asia/THA/Mortality/Number of maternal deaths", + "World/North Africa/TUR/Mortality/Number of maternal deaths", + "World/Pair/USA/Mortality/Number of maternal deaths", + "World/Asia/VNM/Mortality/Number of maternal deaths", + "World/Persian Gulf/YEM/Mortality/Number of maternal deaths", + "World/Persian Gulf/ARE/Mortality/Number of neonatal deaths", + "World/Latam/ARG/Mortality/Number of neonatal deaths", + "World/Europe/AUT/Mortality/Number of neonatal deaths", + "World/Persian Gulf/AZE/Mortality/Number of neonatal deaths", + "World/Asia/BGD/Mortality/Number of neonatal deaths", + "World/Latam/BRA/Mortality/Number of neonatal deaths", + "World/Latam/CHL/Mortality/Number of neonatal deaths", + "World/Pair/CHN/Mortality/Number of neonatal deaths", + "World/Latam/COL/Mortality/Number of neonatal deaths", + "World/Latam/CRI/Mortality/Number of neonatal deaths", + "World/North Africa/DZA/Mortality/Number of neonatal deaths", + "World/North Africa/EGY/Mortality/Number of neonatal deaths", + "World/Europe/FRA/Mortality/Number of neonatal deaths", + "World/Europe/GBR/Mortality/Number of neonatal deaths", + "World/South Africa/GHA/Mortality/Number of neonatal deaths", + "World/Europe/GRC/Mortality/Number of neonatal deaths", + "World/Europe/HRV/Mortality/Number of neonatal deaths", + "World/Asia/IDN/Mortality/Number of neonatal deaths", + "World/Asia/IND/Mortality/Number of neonatal deaths", + "World/North Africa/ISR/Mortality/Number of neonatal deaths", + "World/Asia/KOR/Mortality/Number of neonatal deaths", + "World/North Africa/MAR/Mortality/Number of neonatal deaths", + "World/Latam/MEX/Mortality/Number of neonatal deaths", + "World/South Africa/MOZ/Mortality/Number of neonatal deaths", + "World/South Africa/NGA/Mortality/Number of neonatal deaths", + "World/Europe/NLD/Mortality/Number of neonatal deaths", + "World/Persian Gulf/OMN/Mortality/Number of neonatal deaths", + "World/Latam/PAN/Mortality/Number of neonatal deaths", + "World/Latam/PER/Mortality/Number of neonatal deaths", + "World/Asia/PHL/Mortality/Number of neonatal deaths", + "World/Europe/POL/Mortality/Number of neonatal deaths", + "World/Persian Gulf/QAT/Mortality/Number of neonatal deaths", + "World/Persian Gulf/SAU/Mortality/Number of neonatal deaths", + "World/South Africa/SEN/Mortality/Number of neonatal deaths", + "World/Asia/THA/Mortality/Number of neonatal deaths", + "World/North Africa/TUR/Mortality/Number of neonatal deaths", + "World/Pair/USA/Mortality/Number of neonatal deaths", + "World/Asia/VNM/Mortality/Number of neonatal deaths", + "World/South Africa/ZAF/Mortality/Number of neonatal deaths", + "World/Persian Gulf/ARE/Mortality/Number of under-five deaths", + "World/Latam/ARG/Mortality/Number of under-five deaths", + "World/Europe/AUT/Mortality/Number of under-five deaths", + "World/Persian Gulf/AZE/Mortality/Number of under-five deaths", + "World/Asia/BGD/Mortality/Number of under-five deaths", + "World/Latam/BRA/Mortality/Number of under-five deaths", + "World/Latam/CHL/Mortality/Number of under-five deaths", + "World/Pair/CHN/Mortality/Number of under-five deaths", + "World/South Africa/CMR/Mortality/Number of under-five deaths", + "World/Latam/COL/Mortality/Number of under-five deaths", + "World/Latam/CRI/Mortality/Number of under-five deaths", + "World/North Africa/EGY/Mortality/Number of under-five deaths", + "World/Europe/FRA/Mortality/Number of under-five deaths", + "World/Europe/GBR/Mortality/Number of under-five deaths", + "World/South Africa/GHA/Mortality/Number of under-five deaths", + "World/Europe/GRC/Mortality/Number of under-five deaths", + "World/Europe/HRV/Mortality/Number of under-five deaths", + "World/Asia/IDN/Mortality/Number of under-five deaths", + "World/Asia/IND/Mortality/Number of under-five deaths", + "World/Persian Gulf/IRQ/Mortality/Number of under-five deaths", + "World/North Africa/ISR/Mortality/Number of under-five deaths", + "World/Asia/KOR/Mortality/Number of under-five deaths", + "World/South Africa/LBR/Mortality/Number of under-five deaths", + "World/North Africa/MAR/Mortality/Number of under-five deaths", + "World/Latam/MEX/Mortality/Number of under-five deaths", + "World/South Africa/MOZ/Mortality/Number of under-five deaths", + "World/Europe/NLD/Mortality/Number of under-five deaths", + "World/Persian Gulf/OMN/Mortality/Number of under-five deaths", + "World/Latam/PAN/Mortality/Number of under-five deaths", + "World/Latam/PER/Mortality/Number of under-five deaths", + "World/Asia/PHL/Mortality/Number of under-five deaths", + "World/Europe/POL/Mortality/Number of under-five deaths", + "World/Persian Gulf/SAU/Mortality/Number of under-five deaths", + "World/South Africa/SEN/Mortality/Number of under-five deaths", + "World/Europe/SWE/Mortality/Number of under-five deaths", + "World/Asia/THA/Mortality/Number of under-five deaths", + "World/North Africa/TUR/Mortality/Number of under-five deaths", + "World/Pair/USA/Mortality/Number of under-five deaths", + "World/Asia/VNM/Mortality/Number of under-five deaths", + "World/Latam/ARG/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/AUT/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/AZE/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/BGD/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/BRA/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/CHL/Health/Nurses and midwives (per 1,000 people)", + "World/Pair/CHN/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/CMR/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/CRI/Health/Nurses and midwives (per 1,000 people)", + "World/North Africa/EGY/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/ESP/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/FRA/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/GHA/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/HRV/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/IDN/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/IND/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/KOR/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/LBR/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/MOZ/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/NLD/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/OMN/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/PAN/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/PER/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/POL/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/SAU/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/SWE/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/THA/Health/Nurses and midwives (per 1,000 people)", + "World/North Africa/TUR/Health/Nurses and midwives (per 1,000 people)", + "World/Pair/USA/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/VEN/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/YEM/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/ZAF/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/ARG/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/AUT/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/BGD/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/BRA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/CHL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Pair/CHN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/CMR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/COL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/CRI/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/DEU/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/DZA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/EGY/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/ESP/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/FRA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/GBR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/GHA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/GRC/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/HRV/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/IDN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/IND/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/ISR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/KOR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/LBR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/NGA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/NLD/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/PAN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/PER/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/PHL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/POL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/SEN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/SWE/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Pair/USA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/VEN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/VNM/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/ARG/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/AZE/Health/People practicing open defecation (% of population)", + "World/Asia/BGD/Health/People practicing open defecation (% of population)", + "World/Latam/BRA/Health/People practicing open defecation (% of population)", + "World/Latam/CHL/Health/People practicing open defecation (% of population)", + "World/Pair/CHN/Health/People practicing open defecation (% of population)", + "World/South Africa/CMR/Health/People practicing open defecation (% of population)", + "World/Latam/COL/Health/People practicing open defecation (% of population)", + "World/Latam/CRI/Health/People practicing open defecation (% of population)", + "World/North Africa/DZA/Health/People practicing open defecation (% of population)", + "World/North Africa/EGY/Health/People practicing open defecation (% of population)", + "World/South Africa/GHA/Health/People practicing open defecation (% of population)", + "World/Europe/GRC/Health/People practicing open defecation (% of population)", + "World/Asia/IDN/Health/People practicing open defecation (% of population)", + "World/Asia/IND/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/IRQ/Health/People practicing open defecation (% of population)", + "World/South Africa/LBR/Health/People practicing open defecation (% of population)", + "World/North Africa/MAR/Health/People practicing open defecation (% of population)", + "World/Latam/MEX/Health/People practicing open defecation (% of population)", + "World/South Africa/MOZ/Health/People practicing open defecation (% of population)", + "World/South Africa/NGA/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/OMN/Health/People practicing open defecation (% of population)", + "World/Latam/PAN/Health/People practicing open defecation (% of population)", + "World/Latam/PER/Health/People practicing open defecation (% of population)", + "World/Asia/PHL/Health/People practicing open defecation (% of population)", + "World/South Africa/SEN/Health/People practicing open defecation (% of population)", + "World/Asia/THA/Health/People practicing open defecation (% of population)", + "World/North Africa/TUR/Health/People practicing open defecation (% of population)", + "World/Latam/VEN/Health/People practicing open defecation (% of population)", + "World/Asia/VNM/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/YEM/Health/People practicing open defecation (% of population)", + "World/South Africa/ZAF/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/ARE/Health/People using at least basic drinking water services (% of population)", + "World/Latam/ARG/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/AZE/Health/People using at least basic drinking water services (% of population)", + "World/Asia/BGD/Health/People using at least basic drinking water services (% of population)", + "World/Latam/BRA/Health/People using at least basic drinking water services (% of population)", + "World/Latam/CHL/Health/People using at least basic drinking water services (% of population)", + "World/Pair/CHN/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/CMR/Health/People using at least basic drinking water services (% of population)", + "World/Latam/COL/Health/People using at least basic drinking water services (% of population)", + "World/Latam/CRI/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/DZA/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/EGY/Health/People using at least basic drinking water services (% of population)", + "World/Europe/ESP/Health/People using at least basic drinking water services (% of population)", + "World/Europe/FRA/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/GHA/Health/People using at least basic drinking water services (% of population)", + "World/Europe/GRC/Health/People using at least basic drinking water services (% of population)", + "World/Europe/HRV/Health/People using at least basic drinking water services (% of population)", + "World/Asia/IDN/Health/People using at least basic drinking water services (% of population)", + "World/Asia/IND/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/IRQ/Health/People using at least basic drinking water services (% of population)", + "World/Asia/KOR/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/LBR/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/MAR/Health/People using at least basic drinking water services (% of population)", + "World/Latam/MEX/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/MOZ/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/NGA/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/OMN/Health/People using at least basic drinking water services (% of population)", + "World/Latam/PAN/Health/People using at least basic drinking water services (% of population)", + "World/Latam/PER/Health/People using at least basic drinking water services (% of population)", + "World/Asia/PHL/Health/People using at least basic drinking water services (% of population)", + "World/Europe/POL/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/QAT/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/SAU/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/SEN/Health/People using at least basic drinking water services (% of population)", + "World/Europe/SWE/Health/People using at least basic drinking water services (% of population)", + "World/Asia/THA/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/TUR/Health/People using at least basic drinking water services (% of population)", + "World/Pair/USA/Health/People using at least basic drinking water services (% of population)", + "World/Latam/VEN/Health/People using at least basic drinking water services (% of population)", + "World/Asia/VNM/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/YEM/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/ZAF/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/ARE/Health/People using at least basic sanitation services (% of population)", + "World/Latam/ARG/Health/People using at least basic sanitation services (% of population)", + "World/Europe/AUT/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/AZE/Health/People using at least basic sanitation services (% of population)", + "World/Asia/BGD/Health/People using at least basic sanitation services (% of population)", + "World/Latam/BRA/Health/People using at least basic sanitation services (% of population)", + "World/Latam/CHL/Health/People using at least basic sanitation services (% of population)", + "World/Pair/CHN/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/CMR/Health/People using at least basic sanitation services (% of population)", + "World/Latam/COL/Health/People using at least basic sanitation services (% of population)", + "World/Latam/CRI/Health/People using at least basic sanitation services (% of population)", + "World/Europe/DEU/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/DZA/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/EGY/Health/People using at least basic sanitation services (% of population)", + "World/Europe/ESP/Health/People using at least basic sanitation services (% of population)", + "World/Europe/FRA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/GBR/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/GHA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/GRC/Health/People using at least basic sanitation services (% of population)", + "World/Europe/HRV/Health/People using at least basic sanitation services (% of population)", + "World/Asia/IDN/Health/People using at least basic sanitation services (% of population)", + "World/Asia/IND/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/IRQ/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/ISR/Health/People using at least basic sanitation services (% of population)", + "World/Asia/KOR/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/LBR/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/MAR/Health/People using at least basic sanitation services (% of population)", + "World/Latam/MEX/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/MOZ/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/NGA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/NLD/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/OMN/Health/People using at least basic sanitation services (% of population)", + "World/Latam/PAN/Health/People using at least basic sanitation services (% of population)", + "World/Latam/PER/Health/People using at least basic sanitation services (% of population)", + "World/Asia/PHL/Health/People using at least basic sanitation services (% of population)", + "World/Europe/POL/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/SAU/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/SEN/Health/People using at least basic sanitation services (% of population)", + "World/Europe/SWE/Health/People using at least basic sanitation services (% of population)", + "World/Asia/THA/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/TUR/Health/People using at least basic sanitation services (% of population)", + "World/Pair/USA/Health/People using at least basic sanitation services (% of population)", + "World/Latam/VEN/Health/People using at least basic sanitation services (% of population)", + "World/Asia/VNM/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/YEM/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/ZAF/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/ARE/Health/People using safely managed sanitation services (% of population)", + "World/Latam/ARG/Health/People using safely managed sanitation services (% of population)", + "World/Europe/AUT/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/AZE/Health/People using safely managed sanitation services (% of population)", + "World/Asia/BGD/Health/People using safely managed sanitation services (% of population)", + "World/Latam/BRA/Health/People using safely managed sanitation services (% of population)", + "World/Latam/CHL/Health/People using safely managed sanitation services (% of population)", + "World/Pair/CHN/Health/People using safely managed sanitation services (% of population)", + "World/Latam/COL/Health/People using safely managed sanitation services (% of population)", + "World/Latam/CRI/Health/People using safely managed sanitation services (% of population)", + "World/Europe/DEU/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/DZA/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/EGY/Health/People using safely managed sanitation services (% of population)", + "World/Europe/FRA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/GBR/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/GHA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/GRC/Health/People using safely managed sanitation services (% of population)", + "World/Asia/IND/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/ISR/Health/People using safely managed sanitation services (% of population)", + "World/Asia/KOR/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/MAR/Health/People using safely managed sanitation services (% of population)", + "World/Latam/MEX/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/NGA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/NLD/Health/People using safely managed sanitation services (% of population)", + "World/Latam/PER/Health/People using safely managed sanitation services (% of population)", + "World/Asia/PHL/Health/People using safely managed sanitation services (% of population)", + "World/Europe/POL/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/QAT/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/SAU/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/SEN/Health/People using safely managed sanitation services (% of population)", + "World/Europe/SWE/Health/People using safely managed sanitation services (% of population)", + "World/Asia/THA/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/TUR/Health/People using safely managed sanitation services (% of population)", + "World/Pair/USA/Health/People using safely managed sanitation services (% of population)", + "World/Latam/VEN/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/YEM/Health/People using safely managed sanitation services (% of population)", + "World/Europe/AUT/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Permanent cropland (% of land area)", + "World/Latam/CHL/Agriculture/Permanent cropland (% of land area)", + "World/Pair/CHN/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/CMR/Agriculture/Permanent cropland (% of land area)", + "World/Latam/COL/Agriculture/Permanent cropland (% of land area)", + "World/Latam/CRI/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/DZA/Agriculture/Permanent cropland (% of land area)", + "World/Europe/FRA/Agriculture/Permanent cropland (% of land area)", + "World/Europe/GRC/Agriculture/Permanent cropland (% of land area)", + "World/Asia/IDN/Agriculture/Permanent cropland (% of land area)", + "World/Asia/IND/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/MAR/Agriculture/Permanent cropland (% of land area)", + "World/Latam/MEX/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/MOZ/Agriculture/Permanent cropland (% of land area)", + "World/Europe/NLD/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/OMN/Agriculture/Permanent cropland (% of land area)", + "World/Latam/PER/Agriculture/Permanent cropland (% of land area)", + "World/Asia/PHL/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/SEN/Agriculture/Permanent cropland (% of land area)", + "World/Asia/THA/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/TUR/Agriculture/Permanent cropland (% of land area)", + "World/Asia/VNM/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/ZAF/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/ARE/Demography/Population ages 0-14 (% of total population)", + "World/Latam/ARG/Demography/Population ages 0-14 (% of total population)", + "World/Europe/AUT/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/AZE/Demography/Population ages 0-14 (% of total population)", + "World/Asia/BGD/Demography/Population ages 0-14 (% of total population)", + "World/Latam/BRA/Demography/Population ages 0-14 (% of total population)", + "World/Latam/CHL/Demography/Population ages 0-14 (% of total population)", + "World/Pair/CHN/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/CMR/Demography/Population ages 0-14 (% of total population)", + "World/Latam/COL/Demography/Population ages 0-14 (% of total population)", + "World/Latam/CRI/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/EGY/Demography/Population ages 0-14 (% of total population)", + "World/Europe/FRA/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/GHA/Demography/Population ages 0-14 (% of total population)", + "World/Europe/HRV/Demography/Population ages 0-14 (% of total population)", + "World/Asia/IDN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/IND/Demography/Population ages 0-14 (% of total population)", + "World/Asia/KOR/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/MAR/Demography/Population ages 0-14 (% of total population)", + "World/Latam/MEX/Demography/Population ages 0-14 (% of total population)", + "World/Europe/NLD/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/OMN/Demography/Population ages 0-14 (% of total population)", + "World/Latam/PAN/Demography/Population ages 0-14 (% of total population)", + "World/Latam/PER/Demography/Population ages 0-14 (% of total population)", + "World/Asia/PHL/Demography/Population ages 0-14 (% of total population)", + "World/Europe/POL/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/SAU/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/SEN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/THA/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/TUR/Demography/Population ages 0-14 (% of total population)", + "World/Pair/USA/Demography/Population ages 0-14 (% of total population)", + "World/Latam/VEN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/VNM/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/ARE/Demography/Population ages 15-64 (% of total population)", + "World/Latam/ARG/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/AZE/Demography/Population ages 15-64 (% of total population)", + "World/Asia/BGD/Demography/Population ages 15-64 (% of total population)", + "World/Latam/BRA/Demography/Population ages 15-64 (% of total population)", + "World/Latam/CHL/Demography/Population ages 15-64 (% of total population)", + "World/Pair/CHN/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/CMR/Demography/Population ages 15-64 (% of total population)", + "World/Latam/COL/Demography/Population ages 15-64 (% of total population)", + "World/Latam/CRI/Demography/Population ages 15-64 (% of total population)", + "World/Europe/DEU/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/EGY/Demography/Population ages 15-64 (% of total population)", + "World/Europe/FRA/Demography/Population ages 15-64 (% of total population)", + "World/Europe/GBR/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/GHA/Demography/Population ages 15-64 (% of total population)", + "World/Europe/GRC/Demography/Population ages 15-64 (% of total population)", + "World/Asia/IDN/Demography/Population ages 15-64 (% of total population)", + "World/Asia/IND/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/ISR/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/MAR/Demography/Population ages 15-64 (% of total population)", + "World/Latam/MEX/Demography/Population ages 15-64 (% of total population)", + "World/Europe/NLD/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/OMN/Demography/Population ages 15-64 (% of total population)", + "World/Latam/PAN/Demography/Population ages 15-64 (% of total population)", + "World/Latam/PER/Demography/Population ages 15-64 (% of total population)", + "World/Asia/PHL/Demography/Population ages 15-64 (% of total population)", + "World/Europe/POL/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/SAU/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/SEN/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/TUR/Demography/Population ages 15-64 (% of total population)", + "World/Pair/USA/Demography/Population ages 15-64 (% of total population)", + "World/Latam/VEN/Demography/Population ages 15-64 (% of total population)", + "World/Asia/VNM/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/ARE/Demography/Population ages 65 and above (% of total population)", + "World/Latam/ARG/Demography/Population ages 65 and above (% of total population)", + "World/Europe/AUT/Demography/Population ages 65 and above (% of total population)", + "World/Asia/BGD/Demography/Population ages 65 and above (% of total population)", + "World/Latam/BRA/Demography/Population ages 65 and above (% of total population)", + "World/Latam/CHL/Demography/Population ages 65 and above (% of total population)", + "World/Pair/CHN/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/CMR/Demography/Population ages 65 and above (% of total population)", + "World/Latam/COL/Demography/Population ages 65 and above (% of total population)", + "World/Latam/CRI/Demography/Population ages 65 and above (% of total population)", + "World/Europe/DEU/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/DZA/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/EGY/Demography/Population ages 65 and above (% of total population)", + "World/Europe/FRA/Demography/Population ages 65 and above (% of total population)", + "World/Europe/GBR/Demography/Population ages 65 and above (% of total population)", + "World/Europe/GRC/Demography/Population ages 65 and above (% of total population)", + "World/Europe/HRV/Demography/Population ages 65 and above (% of total population)", + "World/Asia/IDN/Demography/Population ages 65 and above (% of total population)", + "World/Asia/IND/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/ISR/Demography/Population ages 65 and above (% of total population)", + "World/Asia/KOR/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/MAR/Demography/Population ages 65 and above (% of total population)", + "World/Latam/MEX/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/MOZ/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/NGA/Demography/Population ages 65 and above (% of total population)", + "World/Europe/NLD/Demography/Population ages 65 and above (% of total population)", + "World/Latam/PAN/Demography/Population ages 65 and above (% of total population)", + "World/Latam/PER/Demography/Population ages 65 and above (% of total population)", + "World/Asia/PHL/Demography/Population ages 65 and above (% of total population)", + "World/Europe/POL/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 65 and above (% of total population)", + "World/Asia/THA/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/TUR/Demography/Population ages 65 and above (% of total population)", + "World/Pair/USA/Demography/Population ages 65 and above (% of total population)", + "World/Latam/VEN/Demography/Population ages 65 and above (% of total population)", + "World/Asia/VNM/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/ARE/Demography/Population in largest city", + "World/Latam/ARG/Demography/Population in largest city", + "World/Europe/AUT/Demography/Population in largest city", + "World/Persian Gulf/AZE/Demography/Population in largest city", + "World/Asia/BGD/Demography/Population in largest city", + "World/Latam/BRA/Demography/Population in largest city", + "World/Latam/CHL/Demography/Population in largest city", + "World/Pair/CHN/Demography/Population in largest city", + "World/South Africa/CMR/Demography/Population in largest city", + "World/Latam/COL/Demography/Population in largest city", + "World/Latam/CRI/Demography/Population in largest city", + "World/North Africa/DZA/Demography/Population in largest city", + "World/North Africa/EGY/Demography/Population in largest city", + "World/Europe/ESP/Demography/Population in largest city", + "World/Europe/FRA/Demography/Population in largest city", + "World/Europe/GBR/Demography/Population in largest city", + "World/South Africa/GHA/Demography/Population in largest city", + "World/Europe/GRC/Demography/Population in largest city", + "World/Europe/HRV/Demography/Population in largest city", + "World/Asia/IDN/Demography/Population in largest city", + "World/Asia/IND/Demography/Population in largest city", + "World/North Africa/ISR/Demography/Population in largest city", + "World/North Africa/MAR/Demography/Population in largest city", + "World/Latam/MEX/Demography/Population in largest city", + "World/South Africa/MOZ/Demography/Population in largest city", + "World/South Africa/NGA/Demography/Population in largest city", + "World/Europe/NLD/Demography/Population in largest city", + "World/Persian Gulf/OMN/Demography/Population in largest city", + "World/Latam/PAN/Demography/Population in largest city", + "World/Latam/PER/Demography/Population in largest city", + "World/Asia/PHL/Demography/Population in largest city", + "World/Europe/POL/Demography/Population in largest city", + "World/Persian Gulf/QAT/Demography/Population in largest city", + "World/Persian Gulf/SAU/Demography/Population in largest city", + "World/South Africa/SEN/Demography/Population in largest city", + "World/Asia/THA/Demography/Population in largest city", + "World/North Africa/TUR/Demography/Population in largest city", + "World/Pair/USA/Demography/Population in largest city", + "World/Latam/VEN/Demography/Population in largest city", + "World/Asia/VNM/Demography/Population in largest city", + "World/Persian Gulf/YEM/Demography/Population in largest city", + "World/South Africa/ZAF/Demography/Population in largest city", + "World/Persian Gulf/ARE/Demography/Population in the largest city (% of urban population)", + "World/Latam/ARG/Demography/Population in the largest city (% of urban population)", + "World/Europe/AUT/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/AZE/Demography/Population in the largest city (% of urban population)", + "World/Asia/BGD/Demography/Population in the largest city (% of urban population)", + "World/Latam/CHL/Demography/Population in the largest city (% of urban population)", + "World/South Africa/CMR/Demography/Population in the largest city (% of urban population)", + "World/Latam/COL/Demography/Population in the largest city (% of urban population)", + "World/Latam/CRI/Demography/Population in the largest city (% of urban population)", + "World/North Africa/DZA/Demography/Population in the largest city (% of urban population)", + "World/North Africa/EGY/Demography/Population in the largest city (% of urban population)", + "World/Europe/FRA/Demography/Population in the largest city (% of urban population)", + "World/Europe/GBR/Demography/Population in the largest city (% of urban population)", + "World/Asia/IDN/Demography/Population in the largest city (% of urban population)", + "World/Asia/IND/Demography/Population in the largest city (% of urban population)", + "World/North Africa/ISR/Demography/Population in the largest city (% of urban population)", + "World/Asia/KOR/Demography/Population in the largest city (% of urban population)", + "World/North Africa/MAR/Demography/Population in the largest city (% of urban population)", + "World/Latam/MEX/Demography/Population in the largest city (% of urban population)", + "World/South Africa/MOZ/Demography/Population in the largest city (% of urban population)", + "World/South Africa/NGA/Demography/Population in the largest city (% of urban population)", + "World/Europe/NLD/Demography/Population in the largest city (% of urban population)", + "World/Latam/PAN/Demography/Population in the largest city (% of urban population)", + "World/Latam/PER/Demography/Population in the largest city (% of urban population)", + "World/Europe/POL/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/QAT/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/SAU/Demography/Population in the largest city (% of urban population)", + "World/South Africa/SEN/Demography/Population in the largest city (% of urban population)", + "World/North Africa/TUR/Demography/Population in the largest city (% of urban population)", + "World/Pair/USA/Demography/Population in the largest city (% of urban population)", + "World/Latam/VEN/Demography/Population in the largest city (% of urban population)", + "World/Asia/VNM/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/YEM/Demography/Population in the largest city (% of urban population)", + "World/South Africa/ZAF/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/CHL/Demography/Population in urban agglomerations of more than 1 million", + "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/DEU/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/EGY/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/ESP/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/FRA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/ISR/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/NLD/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/OMN/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/PHL/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/SEN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million", + "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/VEN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/AZE/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/BGD/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/CHL/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Pair/CHN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/CMR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/EGY/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Europe/GBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/GHA/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/IDN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/IND/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/LBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/MAR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/MOZ/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/PAN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/PER/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/SEN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Europe/SWE/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/THA/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/TUR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/VNM/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Persian Gulf/YEM/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/ZAF/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Persian Gulf/ARE/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/AZE/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/BGD/Health/Pregnant women receiving prenatal care (%)", + "World/Pair/CHN/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/CMR/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/COL/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/CRI/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/DZA/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/EGY/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/IDN/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/IND/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/LBR/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/MAR/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/MOZ/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/NGA/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/PER/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/PHL/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/QAT/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/SAU/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/SEN/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/TUR/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/VEN/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/VNM/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/YEM/Health/Pregnant women receiving prenatal care (%)", + "World/Europe/AUT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/BGD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/BRA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Pair/CHN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/CMR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/COL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/CRI/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/DEU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/DZA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/EGY/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/ESP/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/GBR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/GHA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/GRC/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/IND/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/ISR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/MAR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/MEX/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/MOZ/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/NGA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/NLD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/PAN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/PER/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/PHL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/SEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Pair/USA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/VEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/VNM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/BGD/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/BRA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/CHL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Pair/CHN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/CMR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/COL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/CRI/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/DZA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/EGY/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/ESP/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/GBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/GHA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/ISR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/KOR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/LBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/MAR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/MEX/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/MOZ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/NGA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/NLD/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/PAN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/PER/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/PHL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/SEN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/THA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Pair/USA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/VEN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/VNM/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/ZAF/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/ARE/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/ARG/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/BGD/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/BRA/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/CHL/Health/Prevalence of anemia among pregnant women (%)", + "World/Pair/CHN/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/CMR/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/COL/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/CRI/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/DZA/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/EGY/Health/Prevalence of anemia among pregnant women (%)", + "World/Europe/GBR/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/GHA/Health/Prevalence of anemia among pregnant women (%)", + "World/Europe/HRV/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/IND/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/ISR/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/KOR/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/LBR/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/MAR/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/MEX/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/MOZ/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/NGA/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/PAN/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/PER/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/PHL/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/SEN/Health/Prevalence of anemia among pregnant women (%)", + "World/Pair/USA/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/VEN/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/VNM/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/ZAF/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/ARG/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/BGD/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/BRA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/CHL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Pair/CHN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/CMR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/COL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/CRI/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/DZA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/EGY/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/ESP/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/FRA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/GBR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/GHA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/GRC/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/ISR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/KOR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/LBR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/MAR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/MEX/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/MOZ/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/NGA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/NLD/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/PAN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/PER/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/PHL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/SEN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/THA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Pair/USA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/VEN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/VNM/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/ZAF/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/ARG/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/AUT/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/AZE/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/BGD/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/BRA/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/CHL/Health/Prevalence of current tobacco use (% of adults)", + "World/Pair/CHN/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/CMR/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/COL/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/CRI/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/DEU/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/DZA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/ESP/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/FRA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/GBR/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/GHA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/GRC/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/HRV/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/IDN/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/IND/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/IRQ/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/ISR/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/KOR/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/LBR/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/MAR/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/MEX/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/MOZ/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/NGA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/NLD/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/OMN/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/PAN/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/PER/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/PHL/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/POL/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/QAT/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/SEN/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/SWE/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/THA/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/TUR/Health/Prevalence of current tobacco use (% of adults)", + "World/Pair/USA/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/VNM/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/YEM/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/ZAF/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/ARG/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/AZE/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/BGD/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/CHL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Pair/CHN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/COL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/CRI/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/DZA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/EGY/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/GRC/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/IDN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/IND/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/KOR/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/MAR/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/MEX/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/South Africa/NGA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/NLD/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/OMN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/PAN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/PER/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/PHL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/POL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/QAT/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/SAU/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/THA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Pair/USA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/VEN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/VNM/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/YEM/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/South Africa/ZAF/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/AZE/Health/Prevalence of undernourishment (% of population)", + "World/Asia/BGD/Health/Prevalence of undernourishment (% of population)", + "World/Latam/BRA/Health/Prevalence of undernourishment (% of population)", + "World/Pair/CHN/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/CMR/Health/Prevalence of undernourishment (% of population)", + "World/North Africa/DZA/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/GHA/Health/Prevalence of undernourishment (% of population)", + "World/Asia/IDN/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/IRQ/Health/Prevalence of undernourishment (% of population)", + "World/North Africa/MAR/Health/Prevalence of undernourishment (% of population)", + "World/Latam/MEX/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/MOZ/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/NGA/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/OMN/Health/Prevalence of undernourishment (% of population)", + "World/Latam/PAN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/PHL/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/SEN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/THA/Health/Prevalence of undernourishment (% of population)", + "World/Latam/VEN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/VNM/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/YEM/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/ARE/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Persian Gulf/AZE/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Asia/BGD/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Latam/BRA/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Pair/CHN/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/South Africa/CMR/Economy/Price level ratio of PPP conversion factor (GDP) to market 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"World/Pair/USA/Economy/Primary income receipts (BoP, current US$)", + "World/Asia/VNM/Economy/Primary income receipts (BoP, current US$)", + "World/Persian Gulf/YEM/Economy/Primary income receipts (BoP, current US$)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/AZE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/BRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/CRI/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/MEX/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South 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(per 1,000)", + "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/NGA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/NLD/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/OMN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/PAN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/PER/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/PHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/POL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/QAT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/SAU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/SEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/VEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/AZE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/BRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/CRI/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/MEX/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South 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"World/Europe/SWE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/NGA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/NLD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/OMN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/PAN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/PER/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/PHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/POL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/QAT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/SAU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/SEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/VEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/ARG/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/AZE/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/CHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Pair/CHN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/COL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket 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"World/Latam/MEX/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/South Africa/MOZ/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/South Africa/NGA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/PAN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/PER/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Asia/PHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/SAU/Economy/Proportion of 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household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/AZE/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/BGD/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/BRA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/CHL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Pair/CHN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/CMR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/DZA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/EGY/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Europe/GBR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/GHA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/IND/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/ISR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/KOR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/MEX/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/MOZ/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/PAN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/PHL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Europe/POL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/SEN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/THA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/TUR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Pair/USA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/VNM/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/GHA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/IND/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/NGA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Pair/CHN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/POL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/VEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/ARE/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/ARG/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/BGD/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Pair/CHN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/CRI/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/DEU/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/EGY/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/GBR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/GHA/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/GRC/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/IDN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/IND/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/KOR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/MAR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/MEX/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/MOZ/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/NLD/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/PAN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/PHL/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/POL/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Persian Gulf/SAU/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/SWE/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/TUR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Pair/USA/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/VNM/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/ZAF/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Persian Gulf/ARE/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/ARG/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/AUT/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/AZE/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/BGD/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/BRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/CHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Pair/CHN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/CMR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/COL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/CRI/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/DZA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/EGY/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/ESP/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/FRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/GBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/GHA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/IDN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/IND/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/ISR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/KOR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/LBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/MAR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/MEX/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/MOZ/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/NGA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/NLD/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/OMN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/PAN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/PER/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/PHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/POL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/QAT/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/SAU/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/SEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/THA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/TUR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Pair/USA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/VEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/VNM/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/YEM/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/ZAF/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/AUT/R&D/Researchers in R&D (per million people)", + "World/Latam/BRA/R&D/Researchers in R&D (per million people)", + "World/Pair/CHN/R&D/Researchers in R&D (per million people)", + "World/Europe/DEU/R&D/Researchers in R&D (per million people)", + "World/North Africa/DZA/R&D/Researchers in R&D (per million people)", + "World/Europe/ESP/R&D/Researchers in R&D (per million people)", + "World/Europe/FRA/R&D/Researchers in R&D (per million people)", + "World/Europe/GBR/R&D/Researchers in R&D (per million people)", + "World/South Africa/GHA/R&D/Researchers in R&D (per million people)", + "World/Europe/GRC/R&D/Researchers in R&D (per million people)", + "World/Asia/IND/R&D/Researchers in R&D (per million people)", + "World/Asia/KOR/R&D/Researchers in R&D (per million people)", + "World/North Africa/MAR/R&D/Researchers in R&D (per million people)", + "World/South Africa/MOZ/R&D/Researchers in R&D (per million people)", + "World/Europe/NLD/R&D/Researchers in R&D (per million people)", + "World/Persian Gulf/OMN/R&D/Researchers in R&D (per million people)", + "World/Asia/PHL/R&D/Researchers in R&D (per million people)", + "World/Europe/POL/R&D/Researchers in R&D (per million people)", + "World/Asia/THA/R&D/Researchers in R&D (per million people)", + "World/North Africa/TUR/R&D/Researchers in R&D (per million people)", + "World/Pair/USA/R&D/Researchers in R&D (per million people)", + "World/Latam/VEN/R&D/Researchers in R&D (per million people)", + "World/Persian Gulf/AZE/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/BGD/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/BRA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/CHL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Pair/CHN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/CRI/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/North Africa/EGY/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Europe/ESP/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/South Africa/GHA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/IND/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/KOR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/North Africa/MAR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/MEX/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/PAN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/PER/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Europe/POL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/THA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Pair/USA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/VNM/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Persian Gulf/AZE/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/BGD/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/BRA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/CHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Pair/CHN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/CMR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/COL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/CRI/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/DZA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/EGY/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/GHA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/IDN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/IND/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/MAR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/MEX/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/MOZ/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/PAN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/PER/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/PHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Europe/POL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/SEN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/THA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/VNM/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Persian Gulf/ARE/Demography/Rural population", + "World/Latam/ARG/Demography/Rural population", + "World/Europe/AUT/Demography/Rural population", + "World/Persian Gulf/AZE/Demography/Rural population", + "World/Asia/BGD/Demography/Rural population", + "World/Latam/BRA/Demography/Rural population", + "World/Pair/CHN/Demography/Rural population", + "World/South Africa/CMR/Demography/Rural population", + "World/Latam/COL/Demography/Rural population", + "World/Latam/CRI/Demography/Rural population", + "World/North Africa/DZA/Demography/Rural population", + "World/North Africa/EGY/Demography/Rural population", + "World/Europe/FRA/Demography/Rural population", + "World/Europe/GBR/Demography/Rural population", + "World/South Africa/GHA/Demography/Rural population", + "World/Europe/GRC/Demography/Rural population", + "World/Europe/HRV/Demography/Rural population", + "World/Asia/IDN/Demography/Rural population", + "World/Asia/IND/Demography/Rural population", + "World/North Africa/ISR/Demography/Rural population", + "World/South Africa/LBR/Demography/Rural population", + "World/North Africa/MAR/Demography/Rural population", + "World/South Africa/MOZ/Demography/Rural population", + "World/South Africa/NGA/Demography/Rural population", + "World/Europe/NLD/Demography/Rural population", + "World/Persian Gulf/OMN/Demography/Rural population", + "World/Latam/PAN/Demography/Rural population", + "World/Asia/PHL/Demography/Rural population", + "World/Europe/POL/Demography/Rural population", + "World/Persian Gulf/QAT/Demography/Rural population", + "World/Persian Gulf/SAU/Demography/Rural population", + "World/South Africa/SEN/Demography/Rural population", + "World/North Africa/TUR/Demography/Rural population", + "World/Pair/USA/Demography/Rural population", + "World/Asia/VNM/Demography/Rural population", + "World/Persian Gulf/YEM/Demography/Rural population", + "World/Persian Gulf/ARE/Demography/Rural population (% of total population)", + "World/Latam/ARG/Demography/Rural population (% of total population)", + "World/Persian Gulf/AZE/Demography/Rural population (% of total population)", + "World/Asia/BGD/Demography/Rural population (% of total population)", + "World/Latam/BRA/Demography/Rural population (% of total population)", + "World/Latam/CHL/Demography/Rural population (% of total population)", + "World/Pair/CHN/Demography/Rural population (% of total population)", + "World/South Africa/CMR/Demography/Rural population (% of total population)", + "World/Latam/COL/Demography/Rural population (% of total population)", + "World/Latam/CRI/Demography/Rural population (% of total population)", + "World/Europe/DEU/Demography/Rural population (% of total population)", + "World/North Africa/DZA/Demography/Rural population (% of total population)", + "World/Europe/ESP/Demography/Rural population (% of total population)", + "World/Europe/FRA/Demography/Rural population (% of total population)", + "World/Europe/GBR/Demography/Rural population (% of total population)", + "World/South Africa/GHA/Demography/Rural population (% of total population)", + "World/Europe/GRC/Demography/Rural population (% of total population)", + "World/Europe/HRV/Demography/Rural population (% of total population)", + "World/Asia/IDN/Demography/Rural population (% of total population)", + "World/Asia/IND/Demography/Rural population (% of total population)", + "World/Persian Gulf/IRQ/Demography/Rural population (% of total population)", + "World/North Africa/ISR/Demography/Rural population (% of total population)", + "World/South Africa/LBR/Demography/Rural population (% of total population)", + "World/North Africa/MAR/Demography/Rural population (% of total population)", + "World/Latam/MEX/Demography/Rural population (% of total population)", + "World/South Africa/MOZ/Demography/Rural population (% of total population)", + "World/South Africa/NGA/Demography/Rural population (% of total population)", + "World/Europe/NLD/Demography/Rural population (% of total population)", + "World/Persian Gulf/OMN/Demography/Rural population (% of total population)", + "World/Latam/PAN/Demography/Rural population (% of total population)", + "World/Latam/PER/Demography/Rural population (% of total population)", + "World/Europe/POL/Demography/Rural population (% of total population)", + "World/Persian Gulf/QAT/Demography/Rural population (% of total population)", + "World/Persian Gulf/SAU/Demography/Rural population (% of total population)", + "World/South Africa/SEN/Demography/Rural population (% of total population)", + "World/Asia/THA/Demography/Rural population (% of total population)", + "World/North Africa/TUR/Demography/Rural population (% of total population)", + "World/Pair/USA/Demography/Rural population (% of total population)", + "World/Latam/VEN/Demography/Rural population (% of total population)", + "World/Asia/VNM/Demography/Rural population (% of total population)", + "World/Persian Gulf/YEM/Demography/Rural population (% of total population)", + "World/South Africa/ZAF/Demography/Rural population (% of total population)", + "World/Persian Gulf/ARE/industry/Scientific and technical journal articles", + "World/Latam/ARG/industry/Scientific and technical journal articles", + "World/Europe/AUT/industry/Scientific and technical journal articles", + "World/Persian Gulf/AZE/industry/Scientific and technical journal articles", + "World/Asia/BGD/industry/Scientific and technical journal articles", + "World/Latam/BRA/industry/Scientific and technical journal articles", + "World/Latam/CHL/industry/Scientific and technical journal articles", + "World/Pair/CHN/industry/Scientific and technical journal articles", + "World/South Africa/CMR/industry/Scientific and technical journal articles", + "World/Latam/COL/industry/Scientific and technical journal articles", + "World/Latam/CRI/industry/Scientific and technical journal articles", + "World/North Africa/DZA/industry/Scientific 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+ "World/Europe/ESP/Imports/Service imports (BoP, current US$)", + "World/Europe/FRA/Imports/Service imports (BoP, current US$)", + "World/Europe/GBR/Imports/Service imports (BoP, current US$)", + "World/South Africa/GHA/Imports/Service imports (BoP, current US$)", + "World/Europe/HRV/Imports/Service imports (BoP, current US$)", + "World/Asia/IDN/Imports/Service imports (BoP, current US$)", + "World/Asia/IND/Imports/Service imports (BoP, current US$)", + "World/North Africa/ISR/Imports/Service imports (BoP, current US$)", + "World/Asia/KOR/Imports/Service imports (BoP, current US$)", + "World/North Africa/MAR/Imports/Service imports (BoP, current US$)", + "World/Latam/MEX/Imports/Service imports (BoP, current US$)", + "World/South Africa/MOZ/Imports/Service imports (BoP, current US$)", + "World/South Africa/NGA/Imports/Service imports (BoP, current US$)", + "World/Europe/NLD/Imports/Service imports (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Service imports (BoP, current 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"World/Asia/BGD/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/BRA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/CHL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Pair/CHN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/COL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/DZA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/EGY/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/IDN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/IND/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/MAR/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/MEX/Mortality/Suicide mortality rate (per 100,000 population)", + "World/South Africa/NGA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/PAN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/PHL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Europe/POL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/QAT/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/SAU/Mortality/Suicide mortality rate (per 100,000 population)", + "World/South Africa/SEN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/TUR/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Pair/USA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/VEN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/VNM/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/YEM/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/ARG/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/AUT/Taxes/Taxes less subsidies on products (current US$)", + "World/Persian Gulf/AZE/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/BGD/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/BRA/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/CHL/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/CMR/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/COL/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/CRI/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/DEU/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/DZA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/ESP/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/FRA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/GBR/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/GHA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/GRC/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/HRV/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/IND/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/ISR/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/KOR/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/MAR/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/MEX/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/MOZ/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/NGA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/NLD/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/PAN/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/PER/Taxes/Taxes less subsidies on products (current US$)", + 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"World/Asia/THA/Economy/Taxes on international trade (% of revenue)", + "World/Latam/ARG/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/AUT/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Asia/BGD/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/CHL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Pair/CHN/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/COL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/CRI/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/DEU/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/DZA/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/ESP/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/FRA/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/GBR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/GRC/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/ISR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Asia/KOR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/MAR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/MEX/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Persian Gulf/OMN/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/PER/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/POL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/SWE/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Pair/USA/Industry/Textiles and clothing 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requirements of government regulations (% of senior management time)", + "World/South Africa/NGA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/PAN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/PER/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/PHL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Europe/POL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/South Africa/SEN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/THA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/North Africa/TUR/R&D/Time spent dealing with the 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projected estimates, 15+ years of age)", + "World/Asia/IND/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/North Africa/ISR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/KOR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/North Africa/MAR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/MEX/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/South Africa/MOZ/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/South Africa/NGA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/NLD/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/OMN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/PAN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/POL/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/QAT/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/THA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Pair/USA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/VEN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/VNM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/YEM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/ARE/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/AZE/Industry/Total fisheries production (metric tons)", + "World/Asia/BGD/Industry/Total fisheries production (metric tons)", + "World/Latam/BRA/Industry/Total fisheries production (metric tons)", + "World/Latam/CHL/Industry/Total fisheries production (metric tons)", + "World/Pair/CHN/Industry/Total fisheries production (metric tons)", + "World/South Africa/CMR/Industry/Total fisheries production (metric tons)", + "World/Latam/CRI/Industry/Total fisheries production (metric tons)", + "World/North Africa/EGY/Industry/Total fisheries production (metric tons)", + "World/Europe/HRV/Industry/Total fisheries production (metric tons)", + "World/Asia/IDN/Industry/Total fisheries production (metric tons)", + "World/Asia/IND/Industry/Total fisheries production (metric tons)", + "World/North Africa/ISR/Industry/Total fisheries production (metric tons)", + "World/North Africa/MAR/Industry/Total fisheries production (metric tons)", + "World/Latam/MEX/Industry/Total fisheries production (metric tons)", + "World/South Africa/MOZ/Industry/Total fisheries production (metric tons)", + "World/South Africa/NGA/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/OMN/Industry/Total fisheries production (metric tons)", + "World/Asia/PHL/Industry/Total fisheries production (metric tons)", + "World/Europe/POL/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/SAU/Industry/Total fisheries production (metric tons)", + "World/Asia/THA/Industry/Total fisheries production (metric tons)", + "World/Asia/VNM/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/BGD/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/CHL/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Pair/CHN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/CRI/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/DZA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/EGY/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/GBR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/HRV/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/IND/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/IRQ/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/ISR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/KOR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/MAR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/MEX/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/NLD/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/PAN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/PHL/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/SWE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/THA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/TUR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Pair/USA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/VNM/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/BGD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/BRA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/CHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Pair/CHN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/CMR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/COL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/CRI/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/DEU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/DZA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/EGY/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/GBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/GHA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/GRC/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/IDN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/IND/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/ISR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/KOR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/LBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/MAR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/MEX/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/NGA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/NLD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/PAN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/PER/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/PHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/SAU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/SEN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/SWE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/THA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/TUR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/VNM/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/ARE/Economy/Total reserves (includes gold, current US$)", + "World/Asia/BGD/Economy/Total reserves (includes gold, current US$)", + "World/Latam/BRA/Economy/Total reserves (includes gold, current US$)", + "World/Latam/CHL/Economy/Total reserves (includes gold, current US$)", + "World/Pair/CHN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/COL/Economy/Total reserves (includes gold, current US$)", + "World/Latam/CRI/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/DZA/Economy/Total reserves (includes gold, current US$)", + "World/Europe/ESP/Economy/Total reserves (includes gold, current US$)", + "World/Europe/FRA/Economy/Total reserves (includes gold, current US$)", + "World/Europe/GBR/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/GHA/Economy/Total reserves (includes gold, current US$)", + "World/Asia/IDN/Economy/Total reserves (includes gold, current US$)", + "World/Asia/IND/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/IRQ/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/ISR/Economy/Total reserves (includes gold, current US$)", + "World/Asia/KOR/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/LBR/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/MAR/Economy/Total reserves (includes gold, current US$)", + "World/Latam/MEX/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/MOZ/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/OMN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/PAN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/PER/Economy/Total reserves (includes gold, current US$)", + "World/Asia/PHL/Economy/Total reserves (includes gold, current US$)", + "World/Europe/POL/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/QAT/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/SAU/Economy/Total reserves (includes gold, current US$)", + "World/Europe/SWE/Economy/Total reserves (includes gold, current US$)", + "World/Asia/THA/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/TUR/Economy/Total reserves (includes gold, current US$)", + "World/Pair/USA/Economy/Total reserves (includes gold, current US$)", + "World/Latam/VEN/Economy/Total reserves (includes gold, current US$)", + "World/Asia/VNM/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/ZAF/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/ARE/Economy/Total reserves minus gold (current US$)", + "World/Asia/BGD/Economy/Total reserves minus gold (current US$)", + "World/Latam/BRA/Economy/Total reserves minus gold (current US$)", + "World/Latam/CHL/Economy/Total reserves minus gold (current US$)", + "World/Pair/CHN/Economy/Total reserves minus gold (current US$)", + "World/Latam/COL/Economy/Total reserves minus gold (current US$)", + "World/Latam/CRI/Economy/Total reserves minus gold (current US$)", + "World/North Africa/DZA/Economy/Total reserves minus gold (current US$)", + "World/Europe/FRA/Economy/Total reserves minus gold (current US$)", + "World/Europe/GBR/Economy/Total reserves minus gold (current US$)", + "World/South Africa/GHA/Economy/Total reserves minus gold (current US$)", + "World/Asia/IDN/Economy/Total reserves minus gold (current US$)", + "World/Asia/IND/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/IRQ/Economy/Total reserves minus gold (current US$)", + "World/North Africa/ISR/Economy/Total reserves minus gold (current US$)", + "World/Asia/KOR/Economy/Total reserves minus gold (current US$)", + "World/South Africa/LBR/Economy/Total reserves minus gold (current US$)", + "World/North Africa/MAR/Economy/Total reserves minus gold (current US$)", + "World/Latam/MEX/Economy/Total reserves minus gold (current US$)", + "World/South Africa/MOZ/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/OMN/Economy/Total reserves minus gold (current US$)", + "World/Latam/PAN/Economy/Total reserves minus gold (current US$)", + "World/Latam/PER/Economy/Total reserves minus gold (current US$)", + "World/Asia/PHL/Economy/Total reserves minus gold (current US$)", + "World/Europe/POL/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/QAT/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/SAU/Economy/Total reserves minus gold (current US$)", + "World/Europe/SWE/Economy/Total reserves minus gold (current US$)", + "World/Asia/THA/Economy/Total reserves minus gold (current US$)", + "World/North Africa/TUR/Economy/Total reserves minus gold (current US$)", + "World/Latam/VEN/Economy/Total reserves minus gold (current US$)", + "World/Asia/VNM/Economy/Total reserves minus gold (current US$)", + "World/South Africa/ZAF/Economy/Total reserves minus gold (current US$)", + "World/Latam/ARG/Health/UHC service coverage index", + "World/Europe/AUT/Health/UHC service coverage index", + "World/Persian Gulf/AZE/Health/UHC service coverage index", + "World/Asia/BGD/Health/UHC service coverage index", + "World/Latam/BRA/Health/UHC service coverage index", + "World/Latam/CHL/Health/UHC service coverage index", + "World/Pair/CHN/Health/UHC service coverage index", + "World/South Africa/CMR/Health/UHC service coverage index", + "World/Latam/COL/Health/UHC service coverage index", + "World/Latam/CRI/Health/UHC service coverage index", + "World/Europe/DEU/Health/UHC service coverage index", + "World/North Africa/DZA/Health/UHC service coverage index", + "World/North Africa/EGY/Health/UHC service coverage index", + "World/Europe/ESP/Health/UHC service coverage index", + "World/Europe/FRA/Health/UHC service coverage index", + "World/Europe/GBR/Health/UHC service coverage index", + "World/South Africa/GHA/Health/UHC service coverage index", + "World/Europe/GRC/Health/UHC service coverage index", + "World/Europe/HRV/Health/UHC service coverage index", + "World/Asia/IDN/Health/UHC service coverage index", + "World/Asia/IND/Health/UHC service coverage index", + "World/Persian Gulf/IRQ/Health/UHC service coverage index", + "World/North Africa/ISR/Health/UHC service coverage index", + "World/Asia/KOR/Health/UHC service coverage index", + "World/South Africa/LBR/Health/UHC service coverage index", + "World/North Africa/MAR/Health/UHC service coverage index", + "World/Latam/MEX/Health/UHC service coverage index", + "World/South Africa/MOZ/Health/UHC service coverage index", + "World/South Africa/NGA/Health/UHC service coverage index", + "World/Europe/NLD/Health/UHC service coverage index", + "World/Persian Gulf/OMN/Health/UHC service coverage index", + "World/Latam/PAN/Health/UHC service coverage index", + "World/Latam/PER/Health/UHC service coverage index", + "World/Asia/PHL/Health/UHC service coverage index", + "World/Europe/POL/Health/UHC service coverage index", + "World/Persian Gulf/QAT/Health/UHC service coverage index", + "World/South Africa/SEN/Health/UHC service coverage index", + "World/Europe/SWE/Health/UHC service coverage index", + "World/Asia/THA/Health/UHC service coverage index", + "World/North Africa/TUR/Health/UHC service coverage index", + "World/Pair/USA/Health/UHC service coverage index", + "World/Latam/VEN/Health/UHC service coverage index", + "World/Asia/VNM/Health/UHC service coverage index", + "World/Persian Gulf/YEM/Health/UHC service coverage index", + "World/South Africa/ZAF/Health/UHC service coverage index", + "World/Persian Gulf/ARE/Demography/Urban population", + "World/Latam/ARG/Demography/Urban population", + "World/Persian Gulf/AZE/Demography/Urban population", + "World/Asia/BGD/Demography/Urban population", + "World/Latam/BRA/Demography/Urban population", + "World/Latam/CHL/Demography/Urban population", + "World/Pair/CHN/Demography/Urban population", + "World/South Africa/CMR/Demography/Urban population", + "World/Latam/COL/Demography/Urban population", + "World/Latam/CRI/Demography/Urban population", + "World/North Africa/DZA/Demography/Urban population", + "World/North Africa/EGY/Demography/Urban population", + "World/Europe/ESP/Demography/Urban population", + "World/Europe/FRA/Demography/Urban population", + "World/Europe/GBR/Demography/Urban population", + "World/South Africa/GHA/Demography/Urban population", + "World/Asia/IDN/Demography/Urban population", + "World/Asia/IND/Demography/Urban population", + "World/North Africa/ISR/Demography/Urban population", + "World/Asia/KOR/Demography/Urban population", + "World/South Africa/LBR/Demography/Urban population", + "World/North Africa/MAR/Demography/Urban population", + "World/Latam/MEX/Demography/Urban population", + "World/South Africa/MOZ/Demography/Urban population", + "World/South Africa/NGA/Demography/Urban population", + "World/Europe/NLD/Demography/Urban population", + "World/Persian Gulf/OMN/Demography/Urban population", + "World/Latam/PAN/Demography/Urban population", + "World/Latam/PER/Demography/Urban population", + "World/Asia/PHL/Demography/Urban population", + "World/Europe/POL/Demography/Urban population", + "World/Persian Gulf/QAT/Demography/Urban population", + "World/Persian Gulf/SAU/Demography/Urban population", + "World/South Africa/SEN/Demography/Urban population", + "World/Asia/THA/Demography/Urban population", + "World/North Africa/TUR/Demography/Urban population", + "World/Pair/USA/Demography/Urban population", + "World/Latam/VEN/Demography/Urban population", + "World/Asia/VNM/Demography/Urban population", + "World/Persian Gulf/YEM/Demography/Urban population", + "World/South Africa/ZAF/Demography/Urban population", + "World/Persian Gulf/ARE/Demography/Urban population (% of total population)", + "World/Latam/ARG/Demography/Urban population (% of total population)", + "World/Persian Gulf/AZE/Demography/Urban population (% of total population)", + "World/Asia/BGD/Demography/Urban population (% of total population)", + "World/Latam/BRA/Demography/Urban population (% of total population)", + "World/Latam/CHL/Demography/Urban population (% of total population)", + "World/Pair/CHN/Demography/Urban population (% of total population)", + "World/South Africa/CMR/Demography/Urban population (% of total population)", + "World/Latam/COL/Demography/Urban population (% of total population)", + "World/Latam/CRI/Demography/Urban population (% of total population)", + "World/Europe/DEU/Demography/Urban population (% of total population)", + "World/North Africa/DZA/Demography/Urban population (% of total population)", + "World/Europe/ESP/Demography/Urban population (% of total population)", + "World/Europe/FRA/Demography/Urban population (% of total population)", + "World/Europe/GBR/Demography/Urban population (% of total population)", + "World/South Africa/GHA/Demography/Urban population (% of total population)", + "World/Europe/GRC/Demography/Urban population (% of total population)", + "World/Europe/HRV/Demography/Urban population (% of total population)", + "World/Asia/IDN/Demography/Urban population (% of total population)", + "World/Asia/IND/Demography/Urban population (% of total population)", + "World/Persian Gulf/IRQ/Demography/Urban population (% of total population)", + "World/North Africa/ISR/Demography/Urban population (% of total population)", + "World/South Africa/LBR/Demography/Urban population (% of total population)", + "World/North Africa/MAR/Demography/Urban population (% of total population)", + "World/Latam/MEX/Demography/Urban population (% of total population)", + "World/South Africa/MOZ/Demography/Urban population (% of total population)", + "World/South Africa/NGA/Demography/Urban population (% of total population)", + "World/Europe/NLD/Demography/Urban population (% of total population)", + "World/Persian Gulf/OMN/Demography/Urban population (% of total population)", + "World/Latam/PAN/Demography/Urban population (% of total population)", + "World/Latam/PER/Demography/Urban population (% of total population)", + "World/Europe/POL/Demography/Urban population (% of total population)", + "World/Persian Gulf/QAT/Demography/Urban population (% of total population)", + "World/Persian Gulf/SAU/Demography/Urban population (% of total population)", + "World/South Africa/SEN/Demography/Urban population (% of total population)", + "World/Asia/THA/Demography/Urban population (% of total population)", + "World/North Africa/TUR/Demography/Urban population (% of total population)", + "World/Pair/USA/Demography/Urban population (% of total population)", + "World/Latam/VEN/Demography/Urban population (% of total population)", + "World/Asia/VNM/Demography/Urban population (% of total population)", + "World/Persian Gulf/YEM/Demography/Urban population (% of total population)", + "World/South Africa/ZAF/Demography/Urban population (% of total population)", + "World/Europe/AUT/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/AZE/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/BGD/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/CHL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Pair/CHN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/COL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/CRI/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/DEU/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/DZA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/EGY/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/GBR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/GHA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/HRV/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/IND/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/ISR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/KOR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/MAR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/MEX/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/MOZ/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/NGA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/NLD/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/PAN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/PER/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/PHL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/POL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/SAU/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/SWE/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/THA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/TUR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/VEN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/VNM/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/YEM/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/ZAF/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/ARE/A&D", + "World/Latam/ARG/A&D", + "World/Europe/AUT/A&D", + "World/Persian Gulf/AZE/A&D", + "World/Asia/BGD/A&D", + "World/Latam/BRA/A&D", + "World/Latam/CHL/A&D", + "World/Pair/CHN/A&D", + "World/Latam/CRI/A&D", + "World/North Africa/EGY/A&D", + "World/Europe/GBR/A&D", + "World/South Africa/GHA/A&D", + "World/Europe/HRV/A&D", + "World/Asia/IND/A&D", + "World/North Africa/ISR/A&D", + "World/Asia/KOR/A&D", + "World/North Africa/MAR/A&D", + "World/Latam/MEX/A&D", + "World/South Africa/MOZ/A&D", + "World/South Africa/NGA/A&D", + "World/Europe/NLD/A&D", + "World/Persian Gulf/OMN/A&D", + "World/Latam/PAN/A&D", + "World/Europe/POL/A&D", + "World/Persian Gulf/QAT/A&D", + "World/Asia/THA/A&D", + "World/Pair/USA/A&D", + "World/Latam/VEN/A&D", + "World/Asia/VNM/A&D", + "World/Persian Gulf/YEM/A&D", + "World/Persian Gulf/ARE/Agriculture", + "World/Latam/ARG/Agriculture", + "World/Europe/AUT/Agriculture", + "World/Persian Gulf/AZE/Agriculture", + "World/Asia/BGD/Agriculture", + "World/Latam/BRA/Agriculture", + "World/Latam/CHL/Agriculture", + "World/Pair/CHN/Agriculture", + "World/South Africa/CMR/Agriculture", + "World/Latam/COL/Agriculture", + "World/Latam/CRI/Agriculture", + "World/Europe/DEU/Agriculture", + 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Africa/TUR/Agriculture", + "World/Pair/USA/Agriculture", + "World/Latam/VEN/Agriculture", + "World/Asia/VNM/Agriculture", + "World/Persian Gulf/YEM/Agriculture", + "World/South Africa/ZAF/Agriculture", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Europe/AUT/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/Europe/DEU/Demography", + "World/North Africa/DZA/Demography", + "World/North Africa/EGY/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Europe/GRC/Demography", + "World/Europe/HRV/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/Persian Gulf/IRQ/Demography", + 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Africa/EGY/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/GRC/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/South Africa/NGA/Economy", + "World/Europe/NLD/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/South Africa/SEN/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + 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"World/Europe/GRC/Equality", + "World/Europe/HRV/Equality", + "World/Asia/IND/Equality", + "World/North Africa/ISR/Equality", + "World/Asia/KOR/Equality", + "World/North Africa/MAR/Equality", + "World/Latam/MEX/Equality", + "World/South Africa/MOZ/Equality", + "World/South Africa/NGA/Equality", + "World/Europe/NLD/Equality", + "World/Persian Gulf/OMN/Equality", + "World/Latam/PAN/Equality", + "World/Latam/PER/Equality", + "World/Asia/PHL/Equality", + "World/Europe/POL/Equality", + "World/Persian Gulf/QAT/Equality", + "World/Persian Gulf/SAU/Equality", + "World/South Africa/SEN/Equality", + "World/Europe/SWE/Equality", + "World/Asia/THA/Equality", + "World/North Africa/TUR/Equality", + "World/Pair/USA/Equality", + "World/Latam/VEN/Equality", + "World/Asia/VNM/Equality", + "World/Persian Gulf/YEM/Equality", + "World/South Africa/ZAF/Equality", + "World/Persian Gulf/ARE/Exports", + "World/Europe/AUT/Exports", + "World/Persian Gulf/AZE/Exports", + "World/Asia/BGD/Exports", + 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emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth 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equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita 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health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit 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government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric 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US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise imports (current US$)", + "Merchandise imports 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"Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the 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(% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income 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+ "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane 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tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + 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income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current 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"World/Europe/GRC/Agriculture", + "World/Asia/IDN/Agriculture", + "World/Asia/IND/Agriculture", + "World/Asia/KOR/Agriculture", + "World/South Africa/LBR/Agriculture", + "World/North Africa/MAR/Agriculture", + "World/South Africa/MOZ/Agriculture", + "World/Latam/PAN/Agriculture", + "World/Europe/POL/Agriculture", + "World/Europe/SWE/Agriculture", + "World/North Africa/TUR/Agriculture", + "World/Pair/USA/Agriculture", + "World/Persian Gulf/YEM/Agriculture", + "World/Persian Gulf/ARE/Industry", + "World/Latam/ARG/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Pair/CHN/Industry", + "World/South Africa/CMR/Industry", + "World/Latam/COL/Industry", + "World/Latam/CRI/Industry", + "World/Europe/DEU/Industry", + "World/North Africa/DZA/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/FRA/Industry", + "World/South Africa/GHA/Industry", + "World/Europe/HRV/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", + "World/South Africa/LBR/Industry", + "World/North Africa/MAR/Industry", + "World/Latam/MEX/Industry", + "World/South Africa/MOZ/Industry", + "World/South Africa/NGA/Industry", + "World/Latam/PAN/Industry", + "World/Latam/PER/Industry", + "World/Asia/PHL/Industry", + "World/Europe/POL/Industry", + "World/Persian Gulf/SAU/Industry", + "World/South Africa/SEN/Industry", + "World/Asia/THA/Industry", + "World/North Africa/TUR/Industry", + "World/Pair/USA/Industry", + "World/Latam/VEN/Industry", + "World/Asia/VNM/Industry", + "World/Persian Gulf/YEM/Industry", + "World/South Africa/ZAF/Industry", + "World/Persian Gulf/ARE/Mortality", + "World/Asia/BGD/Mortality", + "World/Pair/CHN/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/DZA/Mortality", + "World/North Africa/EGY/Mortality", + "World/South Africa/GHA/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + 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Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/Europe/AUT/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Pair/CHN/Environment", + "World/Latam/CRI/Environment", + "World/Europe/DEU/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/FRA/Environment", + "World/Europe/GBR/Environment", + "World/Europe/GRC/Environment", + "World/Europe/HRV/Environment", + "World/Asia/IND/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/NGA/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Asia/PHL/Environment", + "World/Europe/POL/Environment", + "World/Persian Gulf/SAU/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/Pair/USA/Environment", + 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+ "World/North Africa/EGY/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/GRC/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/South Africa/NGA/Economy", + "World/Europe/NLD/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/South Africa/SEN/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Europe/AUT/Exports", + "World/Asia/BGD/Exports", + "World/Latam/CHL/Exports", + "World/Pair/CHN/Exports", + "World/South Africa/CMR/Exports", + "World/Latam/CRI/Exports", + "World/Europe/DEU/Exports", + "World/North Africa/DZA/Exports", + "World/Europe/ESP/Exports", + "World/Europe/GBR/Exports", + "World/Europe/GRC/Exports", + "World/Europe/HRV/Exports", + "World/Asia/IND/Exports", + "World/North Africa/ISR/Exports", + "World/Asia/KOR/Exports", + "World/North Africa/MAR/Exports", + "World/Latam/MEX/Exports", + "World/South Africa/NGA/Exports", + "World/Europe/NLD/Exports", + "World/Persian Gulf/OMN/Exports", + "World/Latam/PAN/Exports", + "World/Europe/POL/Exports", + "World/Persian Gulf/QAT/Exports", + "World/Persian Gulf/SAU/Exports", + "World/Europe/SWE/Exports", + "World/Asia/THA/Exports", + "World/Pair/USA/Exports", + "World/South Africa/ZAF/Exports", + "World/Persian Gulf/ARE/Imports", + "World/Europe/AUT/Imports", + "World/Persian Gulf/AZE/Imports", 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Gulf/YEM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Mortality", + "World/Latam/ARG/Mortality", + "World/Persian Gulf/AZE/Mortality", + "World/Asia/BGD/Mortality", + "World/Latam/CHL/Mortality", + "World/Pair/CHN/Mortality", + "World/South Africa/CMR/Mortality", + "World/Latam/COL/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/EGY/Mortality", + "World/Europe/ESP/Mortality", + "World/Europe/GBR/Mortality", + "World/South Africa/GHA/Mortality", + "World/Europe/GRC/Mortality", + "World/Europe/HRV/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/ISR/Mortality", + "World/Asia/KOR/Mortality", + "World/South Africa/LBR/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + "World/South Africa/MOZ/Mortality", + "World/South Africa/NGA/Mortality", + "World/Europe/NLD/Mortality", + "World/Latam/PAN/Mortality", + "World/Latam/PER/Mortality", + "World/Asia/PHL/Mortality", + "World/Europe/POL/Mortality", + "World/Persian Gulf/QAT/Mortality", + "World/Persian Gulf/SAU/Mortality", + "World/South Africa/SEN/Mortality", + "World/Asia/THA/Mortality", + "World/North Africa/TUR/Mortality", + "World/Pair/USA/Mortality", + "World/Asia/VNM/Mortality", + "World/Persian Gulf/YEM/Mortality", + "World/Persian Gulf/ARE/Health", + "World/Latam/ARG/Health", + "World/Persian Gulf/AZE/Health", + "World/Asia/BGD/Health", + "World/Latam/CHL/Health", + "World/Pair/CHN/Health", + "World/South Africa/CMR/Health", + "World/Latam/COL/Health", + "World/Latam/CRI/Health", + "World/North Africa/EGY/Health", + "World/Europe/ESP/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/GRC/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/Asia/IND/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/South Africa/LBR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/South Africa/NGA/Health", + "World/Europe/NLD/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Europe/POL/Health", + "World/Persian Gulf/QAT/Health", + "World/Persian Gulf/SAU/Health", + "World/South Africa/SEN/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Pair/USA/Health", + "World/Latam/VEN/Health", + "World/Asia/VNM/Health", + "World/Persian Gulf/YEM/Health", + "World/Persian Gulf/ARE/Industry", + "World/Latam/ARG/Industry", + "World/Europe/AUT/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Latam/BRA/Industry", + "World/Pair/CHN/Industry", + "World/Latam/COL/Industry", + "World/Latam/CRI/Industry", + "World/North Africa/DZA/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/GBR/Industry", + "World/South Africa/GHA/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", 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Africa/DZA/Health", + "World/Europe/ESP/Health", + "World/Europe/FRA/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/Europe/NLD/Health", + "World/Persian Gulf/OMN/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Persian Gulf/QAT/Health", + "World/South Africa/SEN/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Asia/VNM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/Latam/MEX/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Asia/THA/Economy", + "World/Pair/USA/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Persian Gulf/ARE/Mortality", + "World/Latam/ARG/Mortality", + "World/Persian Gulf/AZE/Mortality", + "World/Asia/BGD/Mortality", + "World/Latam/CHL/Mortality", + "World/Pair/CHN/Mortality", + "World/South Africa/CMR/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/DZA/Mortality", + "World/North Africa/EGY/Mortality", + "World/Europe/ESP/Mortality", + "World/Europe/GBR/Mortality", + "World/South Africa/GHA/Mortality", + "World/Europe/HRV/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/ISR/Mortality", + "World/Asia/KOR/Mortality", + "World/South Africa/LBR/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + "World/South Africa/MOZ/Mortality", + "World/South Africa/NGA/Mortality", + "World/Europe/NLD/Mortality", + "World/Latam/PAN/Mortality", + "World/Latam/PER/Mortality", + "World/Asia/PHL/Mortality", + "World/Europe/POL/Mortality", + "World/Persian Gulf/QAT/Mortality", + "World/Persian Gulf/SAU/Mortality", + "World/South Africa/SEN/Mortality", + "World/Asia/THA/Mortality", + "World/North Africa/TUR/Mortality", + "World/Pair/USA/Mortality", + "World/Asia/VNM/Mortality", + "World/Persian Gulf/YEM/Mortality", + "World/Persian Gulf/ARE/Exports", + "World/Europe/AUT/Exports", + "World/Persian Gulf/AZE/Exports", + "World/Asia/BGD/Exports", + "World/Latam/BRA/Exports", + "World/Latam/CHL/Exports", + "World/Pair/CHN/Exports", + "World/Latam/COL/Exports", + "World/Latam/CRI/Exports", + "World/Europe/DEU/Exports", + "World/North Africa/EGY/Exports", + "World/Europe/ESP/Exports", + 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Africa/MOZ/R&D", + "World/South Africa/NGA/R&D", + "World/Latam/PAN/R&D", + "World/Latam/PER/R&D", + "World/Asia/PHL/R&D", + "World/Europe/POL/R&D", + "World/South Africa/SEN/R&D", + "World/Asia/THA/R&D", + "World/North Africa/TUR/R&D", + "World/Latam/VEN/R&D", + "World/Asia/VNM/R&D", + "World/Persian Gulf/YEM/R&D", + "World/South Africa/ZAF/R&D", + "World/Latam/ARG/R&D", + "World/Asia/BGD/R&D", + "World/Latam/CHL/R&D", + "World/South Africa/CMR/R&D", + "World/Latam/COL/R&D", + "World/Latam/CRI/R&D", + "World/North Africa/EGY/R&D", + "World/South Africa/GHA/R&D", + "World/Europe/GRC/R&D", + "World/Asia/IDN/R&D", + "World/Asia/IND/R&D", + "World/North Africa/MAR/R&D", + "World/Latam/MEX/R&D", + "World/South Africa/MOZ/R&D", + "World/South Africa/NGA/R&D", + "World/Latam/PAN/R&D", + "World/Latam/PER/R&D", + "World/Asia/PHL/R&D", + "World/Europe/POL/R&D", + "World/South Africa/SEN/R&D", + "World/North Africa/TUR/R&D", + "World/Latam/VEN/R&D", + "World/Asia/VNM/R&D", + "World/South Africa/ZAF/R&D", + "World/Persian Gulf/ARE/A&D", + "World/Latam/ARG/A&D", + "World/Europe/AUT/A&D", + "World/Persian Gulf/AZE/A&D", + "World/Asia/BGD/A&D", + "World/Latam/BRA/A&D", + "World/Latam/CHL/A&D", + "World/Pair/CHN/A&D", + "World/Latam/CRI/A&D", + "World/North Africa/EGY/A&D", + "World/Europe/GBR/A&D", + "World/South Africa/GHA/A&D", + "World/Europe/HRV/A&D", + "World/Asia/IND/A&D", + "World/North Africa/ISR/A&D", + "World/Asia/KOR/A&D", + "World/North Africa/MAR/A&D", + "World/Latam/MEX/A&D", + "World/South Africa/MOZ/A&D", + "World/South Africa/NGA/A&D", + "World/Europe/NLD/A&D", + "World/Persian Gulf/OMN/A&D", + "World/Latam/PAN/A&D", + "World/Europe/POL/A&D", + "World/Persian Gulf/QAT/A&D", + "World/Asia/THA/A&D", + "World/Pair/USA/A&D", + "World/Latam/VEN/A&D", + "World/Asia/VNM/A&D", + "World/Persian Gulf/YEM/A&D", + "World/Persian Gulf/ARE/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Latam/BRA/Industry", + "World/Latam/CHL/Industry", + "World/Pair/CHN/Industry", + "World/South Africa/CMR/Industry", + "World/Latam/CRI/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/HRV/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", + "World/North Africa/MAR/Industry", + "World/Latam/MEX/Industry", + "World/South Africa/MOZ/Industry", + "World/South Africa/NGA/Industry", + "World/Persian Gulf/OMN/Industry", + "World/Asia/PHL/Industry", + "World/Europe/POL/Industry", + "World/Persian Gulf/SAU/Industry", + "World/Asia/THA/Industry", + "World/Asia/VNM/Industry", + "World/Persian Gulf/ARE/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Latam/CHL/Environment", + "World/Pair/CHN/Environment", + "World/Latam/CRI/Environment", + "World/North Africa/DZA/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/GBR/Environment", + "World/Europe/HRV/Environment", + "World/Asia/IND/Environment", + "World/Persian Gulf/IRQ/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/North Africa/MAR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/MOZ/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Asia/PHL/Environment", + "World/Persian Gulf/QAT/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/North Africa/TUR/Environment", + "World/Pair/USA/Environment", + "World/Asia/VNM/Environment", + "World/Persian Gulf/YEM/Environment", + "World/South Africa/ZAF/Environment", + "World/Persian Gulf/ARE/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Latam/BRA/Environment", + "World/Latam/CHL/Environment", + "World/Pair/CHN/Environment", + "World/South Africa/CMR/Environment", + "World/Latam/COL/Environment", + "World/Latam/CRI/Environment", + "World/Europe/DEU/Environment", + "World/North Africa/DZA/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/GBR/Environment", + "World/South Africa/GHA/Environment", + "World/Europe/GRC/Environment", + "World/Asia/IDN/Environment", + "World/Asia/IND/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/South Africa/LBR/Environment", + "World/North Africa/MAR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/MOZ/Environment", + "World/South Africa/NGA/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Latam/PER/Environment", + "World/Asia/PHL/Environment", + "World/Persian Gulf/QAT/Environment", + "World/Persian Gulf/SAU/Environment", + "World/South Africa/SEN/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/North Africa/TUR/Environment", + "World/Asia/VNM/Environment", + "World/South Africa/ZAF/Environment", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/BRA/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/Latam/CRI/Economy", + "World/North Africa/DZA/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/BRA/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/Latam/CRI/Economy", + "World/North Africa/DZA/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Latam/ARG/Health", + "World/Europe/AUT/Health", + "World/Persian Gulf/AZE/Health", + "World/Asia/BGD/Health", + "World/Latam/BRA/Health", + "World/Latam/CHL/Health", + "World/Pair/CHN/Health", + "World/South Africa/CMR/Health", + "World/Latam/COL/Health", + "World/Latam/CRI/Health", + "World/Europe/DEU/Health", + "World/North Africa/DZA/Health", + "World/North Africa/EGY/Health", + "World/Europe/ESP/Health", + "World/Europe/FRA/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/GRC/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/Asia/IND/Health", + "World/Persian Gulf/IRQ/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/South Africa/LBR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/South Africa/NGA/Health", + "World/Europe/NLD/Health", + "World/Persian Gulf/OMN/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Europe/POL/Health", + "World/Persian Gulf/QAT/Health", + "World/South Africa/SEN/Health", + "World/Europe/SWE/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Pair/USA/Health", + "World/Latam/VEN/Health", + "World/Asia/VNM/Health", + "World/Persian Gulf/YEM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/North Africa/DZA/Demography", + "World/North Africa/EGY/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/North Africa/ISR/Demography", + "World/Asia/KOR/Demography", + "World/South Africa/LBR/Demography", + "World/North Africa/MAR/Demography", + "World/Latam/MEX/Demography", + "World/South Africa/MOZ/Demography", + "World/South Africa/NGA/Demography", + "World/Europe/NLD/Demography", + "World/Persian Gulf/OMN/Demography", + "World/Latam/PAN/Demography", + "World/Latam/PER/Demography", + "World/Asia/PHL/Demography", + "World/Europe/POL/Demography", + "World/Persian Gulf/QAT/Demography", + "World/Persian Gulf/SAU/Demography", + "World/South Africa/SEN/Demography", + "World/Asia/THA/Demography", + "World/North Africa/TUR/Demography", + "World/Pair/USA/Demography", + "World/Latam/VEN/Demography", + "World/Asia/VNM/Demography", + "World/Persian Gulf/YEM/Demography", + "World/South Africa/ZAF/Demography", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/Europe/DEU/Demography", + "World/North Africa/DZA/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Europe/GRC/Demography", + "World/Europe/HRV/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/Persian Gulf/IRQ/Demography", + "World/North Africa/ISR/Demography", + "World/South Africa/LBR/Demography", + "World/North Africa/MAR/Demography", + "World/Latam/MEX/Demography", + "World/South Africa/MOZ/Demography", + "World/South Africa/NGA/Demography", + "World/Europe/NLD/Demography", + "World/Persian Gulf/OMN/Demography", + "World/Latam/PAN/Demography", + "World/Latam/PER/Demography", + "World/Europe/POL/Demography", + "World/Persian Gulf/QAT/Demography", + "World/Persian Gulf/SAU/Demography", + "World/South Africa/SEN/Demography", + "World/Asia/THA/Demography", + "World/North Africa/TUR/Demography", + "World/Pair/USA/Demography", + "World/Latam/VEN/Demography", + "World/Asia/VNM/Demography", + "World/Persian Gulf/YEM/Demography", + "World/South Africa/ZAF/Demography", + "World/Europe/AUT/Equality", + "World/Persian Gulf/AZE/Equality", + "World/Asia/BGD/Equality", + "World/Latam/CHL/Equality", + "World/Pair/CHN/Equality", + "World/Latam/COL/Equality", + "World/Latam/CRI/Equality", + "World/Europe/DEU/Equality", + "World/North Africa/DZA/Equality", + "World/North Africa/EGY/Equality", + "World/Europe/GBR/Equality", + "World/South Africa/GHA/Equality", + "World/Europe/HRV/Equality", + "World/Asia/IND/Equality", + "World/North Africa/ISR/Equality", + "World/Asia/KOR/Equality", + "World/North Africa/MAR/Equality", + "World/Latam/MEX/Equality", + "World/South Africa/MOZ/Equality", + "World/South Africa/NGA/Equality", + "World/Europe/NLD/Equality", + "World/Latam/PAN/Equality", + "World/Latam/PER/Equality", + "World/Asia/PHL/Equality", + "World/Europe/POL/Equality", + "World/Persian Gulf/SAU/Equality", + "World/Europe/SWE/Equality", + "World/Asia/THA/Equality", + "World/North Africa/TUR/Equality", + "World/Latam/VEN/Equality", + "World/Asia/VNM/Equality", + "World/Persian Gulf/YEM/Equality", + "World/South Africa/ZAF/Equality", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/Latam/CRI", + "World/North Africa/EGY", + "World/Europe/GBR", + "World/South Africa/GHA", + "World/Europe/HRV", + "World/Asia/IND", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Asia/THA", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/Europe/DEU", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/Europe/ESP", + "World/Europe/FRA", + "World/South Africa/GHA", + "World/Europe/GRC", + "World/Europe/HRV", + "World/Asia/IDN", + "World/Asia/IND", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Persian Gulf/SAU", + "World/South Africa/SEN", + "World/Europe/SWE", + "World/Asia/THA", + "World/North Africa/TUR", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/South Africa/ZAF", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/Europe/DEU", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/Europe/ESP", + "World/Europe/FRA", + "World/Europe/GBR", + "World/South Africa/GHA", + "World/Europe/GRC", + "World/Europe/HRV", + "World/Asia/IDN", + "World/Asia/IND", + "World/Persian Gulf/IRQ", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Persian Gulf/SAU", + "World/South Africa/SEN", + "World/Europe/SWE", + "World/Asia/THA", + "World/North Africa/TUR", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/South Africa/ZAF", + "World/Latam/ARG", + "World/Asia/BGD", + "World/Latam/BRA", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/South Africa/GHA", + "World/Asia/IND", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/North Africa/TUR", + 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path_2_dropdown, path_3_dropdown,path_4_dropdown,ok_button]), out)" ] @@ -14239,7 +224822,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -14279,7 +224862,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -14304,7 +224887,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -14420,7 +225003,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -14441,7 +225024,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -14584,7 +225167,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -15091,7 +225674,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.10.4 ('.venv': poetry)", + "display_name": "Python 3.9.12 ('base')", "language": "python", "name": "python3" }, @@ -15105,11 +225688,11 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.4" + "version": "3.9.12" }, "vscode": { "interpreter": { - "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" + "hash": "db2f77d7771d8a0072cf3f8e7f9965a22a9c65bf4f8ee5135b3d479c9967abaa" } } }, From 19ea942df28832611bb687079468cfa3eb7fc2c7 Mon Sep 17 00:00:00 2001 From: Mferna38 Date: Wed, 3 Aug 2022 15:26:06 +0200 Subject: [PATCH 81/86] Adrian sample file --- dynamic_path_treemap.ipynb | 2590 ++++++++++++++++++++++++++++++++++++ 1 file changed, 2590 insertions(+) create mode 100644 dynamic_path_treemap.ipynb diff --git a/dynamic_path_treemap.ipynb b/dynamic_path_treemap.ipynb new file mode 100644 index 0000000..9f00cd5 --- /dev/null +++ b/dynamic_path_treemap.ipynb @@ -0,0 +1,2590 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 5, + 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countrycontinentyearlifeExppopgdpPercapiso_alphaiso_num
11AfghanistanAsia200743.82831889923974.580338AFG4
23AlbaniaEurope200776.42336005235937.029526ALB8
35AlgeriaAfrica200772.301333332166223.367465DZA12
47AngolaAfrica200742.731124204764797.231267AGO24
59ArgentinaAmericas200775.3204030192712779.379640ARG32
...........................
1655VietnamAsia200774.249852623562441.576404VNM704
1667West Bank and GazaAsia200773.42240183323025.349798PSE275
1679Yemen, Rep.Asia200762.698222117432280.769906YEM887
1691ZambiaAfrica200742.384117460351271.211593ZMB894
1703ZimbabweAfrica200743.48712311143469.709298ZWE716
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" + ], + "text/plain": [ + " country continent year lifeExp pop gdpPercap \\\n", + "11 Afghanistan Asia 2007 43.828 31889923 974.580338 \n", + "23 Albania Europe 2007 76.423 3600523 5937.029526 \n", + "35 Algeria Africa 2007 72.301 33333216 6223.367465 \n", + "47 Angola Africa 2007 42.731 12420476 4797.231267 \n", + "59 Argentina Americas 2007 75.320 40301927 12779.379640 \n", + "... ... ... ... ... ... ... \n", + "1655 Vietnam Asia 2007 74.249 85262356 2441.576404 \n", + "1667 West Bank and Gaza Asia 2007 73.422 4018332 3025.349798 \n", + "1679 Yemen, Rep. Asia 2007 62.698 22211743 2280.769906 \n", + "1691 Zambia Africa 2007 42.384 11746035 1271.211593 \n", + "1703 Zimbabwe Africa 2007 43.487 12311143 469.709298 \n", + "\n", + " iso_alpha iso_num \n", + "11 AFG 4 \n", + "23 ALB 8 \n", + "35 DZA 12 \n", + "47 AGO 24 \n", + "59 ARG 32 \n", + "... ... ... \n", + "1655 VNM 704 \n", + "1667 PSE 275 \n", + "1679 YEM 887 \n", + "1691 ZMB 894 \n", + "1703 ZWE 716 \n", + "\n", + "[142 rows x 8 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import plotly.express as px\n", + "import numpy as np\n", + "from ipywidgets import widgets, HBox\n", + "df = px.data.gapminder().query(\"year == 2007\")\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "2a1f4b90", + "metadata": {}, + "outputs": [], + "source": [ + "out = widgets.Output()\n", + "\n", + "def output_treemap(path):\n", + " fig = px.treemap(df, path=path, values='pop',\n", + " color='lifeExp', hover_data=['iso_alpha'],\n", + " color_continuous_scale='RdBu',\n", + " color_continuous_midpoint=np.average(df['lifeExp'], weights=df['pop']))\n", + " fig.update_layout(margin = dict(t=50, l=25, r=25, b=25))\n", + " out.clear_output(wait=True)\n", + " with out:\n", + " fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "81d13d00", + "metadata": {}, + "outputs": [], + "source": [ + "path_1_dropdown = widgets.Dropdown(\n", + " options=['continent', 'country'],\n", + " value='continent',\n", + " description='Path 1',\n", + " disabled=False,\n", + ")\n", + "path_2_dropdown = widgets.Dropdown(\n", + " options=['continent', 'country'],\n", + " value='country',\n", + " description='Path 2',\n", + " disabled=False,\n", + ")\n", + "\n", + "ok_button = widgets.Button(\n", + " description='Ready to go',\n", + " disabled=False,\n", + " button_style='info', # 'success', 'info', 'warning', 'danger' or ''\n", + " icon='check' # (FontAwesome names without the `fa-` prefix)\n", + ")\n", + "ok_button.on_click(lambda _: output_treemap([px.Constant(\"world\"), path_1_dropdown.value, path_2_dropdown.value]))" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9d413d86", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b83f06cf8e8541ffae99fd6d7c5cb87a", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(Dropdown(description='Path 1', options=('continent', 'country'), value='continent'), Dropdown(d…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "75bed787f5bb476cab05f62e6c1ac563", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { 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"display_name": "Python 3.10.4 ('.venv': poetry)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.4" + }, + "vscode": { + "interpreter": { + "hash": "292912297167048338b5d1136ec8c661b8a2f1d3fcecd6650d637809a967c218" + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 55c23ec1bb52fc8b25dde37fa17b119bf5d01d10 Mon Sep 17 00:00:00 2001 From: amarchve Date: Thu, 4 Aug 2022 07:56:28 +0200 Subject: [PATCH 82/86] Doc, spurious --- WDI-Complete code.ipynb | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index d264044..07d5fea 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -224797,7 +224797,7 @@ "\n", "\n", "Therefore, we have to be carefull with our results because correlation does not imply causation, it may have happened by chance that both variables are really similar.\n", - "So, after some thought and experimenting, we have developed a method that will allow us to find out if the correlation has happened by chance or if there is really a correlation." + "So, after some thought and experimenting, we have developed a method that we think, it will allow us to find out if the correlation has happened by chance or if there is really a correlation." ] }, { @@ -224817,7 +224817,9 @@ "\n", "For example if, X and Y =80% a primary indicator is repeated 20 times the secondary indicators must have repeated 18 times. And if there are 10 secondary indicators, it has to happen for, at least, 8 indicators.\n", "\n", - "Finally, we will finish with two possible errors of 20%, which combined (20%*20%), leaves us with a 4% of margin of error, which is lower than the wildly spread of 5%.\n" + "Finally, we will finish with two possible errors of 20%, which combined (20%*20%), leaves us with a 4% of margin of error, which is lower than the wildly spread of 5%.\n", + "\n", + "**This will only work if the data has been collected by independent sources and uses different methods to collect it. Therefore, this step has only been developed for this data (WDI), which we have checked that comes from different sources and is gathered differently.**\n" ] }, { From bbab31856679775a451e879804b667e783c8a3c0 Mon Sep 17 00:00:00 2001 From: Mferna38 Date: Thu, 4 Aug 2022 08:04:54 +0200 Subject: [PATCH 83/86] Graphs reviewed --- WDI-Complete code.ipynb | 9363 +-------------------------------------- 1 file changed, 4 insertions(+), 9359 deletions(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index 07d5fea..d4eb0ee 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -14427,9361 +14427,6 @@ "fig.show()" ] }, - { - "cell_type": "code", - "execution_count": 93, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "branchvalues": "total", - "customdata": [ - [ - 0.9194369973190348 - ], - [ - 0.9150177303560064 - ], - [ - 0.9832058480308432 - ], - [ - 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"Employment in industry (% of total employment) (modeled ILO estimate)/Europe/DEU", - "Export value index (2000 = 100)/Europe/DEU", - "Fixed broadband subscriptions (per 100 people)/Europe/DEU", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/DEU", - "GNI (current US$)/Europe/DEU", - "Gross value added at basic prices (GVA) (current US$)/Europe/DEU", - "Households and NPISHs Final consumption expenditure (current US$)/Europe/DEU", - "Industry (including construction), value added (current US$)/Europe/DEU", - "Number of deaths ages 5-9 years/Europe/DEU", - "Prevalence of current tobacco use (% of adults)/Europe/DEU", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/DEU", - "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/DEU", - "Agricultural land (% of land area)/North Africa/DZA", - "Consumer price index (2010 = 100)/North Africa/DZA", - "Current health expenditure per capita (current US$)/North Africa/DZA", - "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa/DZA", - "Export value index (2000 = 100)/North Africa/DZA", - "Fixed broadband subscriptions (per 100 people)/North Africa/DZA", - "GNI (current US$)/North Africa/DZA", - "Gross value added at basic prices (GVA) (current US$)/North Africa/DZA", - "Households and NPISHs Final consumption expenditure (current US$)/North Africa/DZA", - "Industry (including construction), value added (current US$)/North Africa/DZA", - "Number of deaths ages 5-9 years/North Africa/DZA", - "Population in largest city/North Africa/DZA", - "Prevalence of current tobacco use (% of adults)/North Africa/DZA", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/North Africa/DZA", - "Ratio of female to male labor force participation rate (%) (national estimate)/North Africa/DZA", - "Renewable internal freshwater resources per capita (cubic meters)/North Africa/DZA", - "Suicide mortality rate (per 100,000 population)/North Africa/DZA", - "Access to electricity (% of population)/North Africa/EGY", - "Agricultural land (% of land area)/North Africa/EGY", - "CO2 emissions (kg per PPP $ of GDP)/North Africa/EGY", - "Consumer price index (2010 = 100)/North Africa/EGY", - "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa/EGY", - "Fixed broadband subscriptions (per 100 people)/North Africa/EGY", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa/EGY", - "GNI (current US$)/North Africa/EGY", - "Gross value added at basic prices (GVA) (current US$)/North Africa/EGY", - "Households and NPISHs Final consumption expenditure (current US$)/North Africa/EGY", - "Industry (including construction), value added (current US$)/North Africa/EGY", - "Number of deaths ages 5-9 years/North Africa/EGY", - "Number of infant deaths/North Africa/EGY", - "Population in largest city/North Africa/EGY", - "Renewable internal freshwater resources per capita (cubic meters)/North Africa/EGY", - "Suicide mortality rate (per 100,000 population)/North Africa/EGY", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/North Africa/EGY", - "Agricultural land (% of land area)/Europe/ESP", - "CO2 emissions (kg per PPP $ of GDP)/Europe/ESP", - "Consumer price index (2010 = 100)/Europe/ESP", - "Current health expenditure (% of GDP)/Europe/ESP", - "Current health expenditure per capita (current US$)/Europe/ESP", - "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/ESP", - "Export value index (2000 = 100)/Europe/ESP", - "Fixed broadband subscriptions (per 100 people)/Europe/ESP", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/ESP", - "GNI (current US$)/Europe/ESP", - "Gross value added at basic prices (GVA) (current US$)/Europe/ESP", - "Households and NPISHs Final consumption expenditure (current US$)/Europe/ESP", - "Industry (including construction), value added (current US$)/Europe/ESP", - "Number of deaths ages 5-9 years/Europe/ESP", - "Population in largest city/Europe/ESP", - "Prevalence of current tobacco use (% of adults)/Europe/ESP", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/ESP", - "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/ESP", - "Renewable internal freshwater resources per capita (cubic meters)/Europe/ESP", - "Agricultural land (% of land area)/Europe/FRA", - "CO2 emissions (kg per PPP $ of GDP)/Europe/FRA", - "Consumer price index (2010 = 100)/Europe/FRA", - "Current health expenditure (% of GDP)/Europe/FRA", - "Current health expenditure per capita (current US$)/Europe/FRA", - "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/FRA", - "Export value index (2000 = 100)/Europe/FRA", - "Fixed broadband subscriptions (per 100 people)/Europe/FRA", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/FRA", - "GNI (current US$)/Europe/FRA", - "Gross value added at basic prices (GVA) (current US$)/Europe/FRA", - "Households and NPISHs Final consumption expenditure (current US$)/Europe/FRA", - "Industry (including construction), value added (current US$)/Europe/FRA", - "Number of deaths ages 5-9 years/Europe/FRA", - "Number of infant deaths/Europe/FRA", - "Population in largest city/Europe/FRA", - "Prevalence of current tobacco use (% of adults)/Europe/FRA", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/FRA", - "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/FRA", - "Renewable internal freshwater resources per capita (cubic meters)/Europe/FRA", - "CO2 emissions (kg per PPP $ of GDP)/Europe/GBR", - "Consumer price index (2010 = 100)/Europe/GBR", - "Current health expenditure (% of GDP)/Europe/GBR", - "Current health expenditure per capita (current US$)/Europe/GBR", - "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/GBR", - "Export value index (2000 = 100)/Europe/GBR", - "Fixed broadband subscriptions (per 100 people)/Europe/GBR", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/GBR", - "GNI (current US$)/Europe/GBR", - "Gross value added at basic prices (GVA) (current US$)/Europe/GBR", - "Households and NPISHs Final consumption expenditure (current US$)/Europe/GBR", - "Industry (including construction), value added (current US$)/Europe/GBR", - "Number of deaths ages 5-9 years/Europe/GBR", - "Number of infant deaths/Europe/GBR", - "Population in largest city/Europe/GBR", - "Prevalence of current tobacco use (% of adults)/Europe/GBR", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/GBR", - "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/GBR", - "Renewable internal freshwater resources per capita (cubic meters)/Europe/GBR", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe/GBR", - "Access to electricity (% of population)/South Africa/GHA", - "Consumer price index (2010 = 100)/South Africa/GHA", - "Current health expenditure per capita (current US$)/South Africa/GHA", - "Export value index (2000 = 100)/South Africa/GHA", - "Fixed broadband subscriptions (per 100 people)/South Africa/GHA", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/South Africa/GHA", - "GNI (current US$)/South Africa/GHA", - "Gross value added at basic prices (GVA) (current US$)/South Africa/GHA", - "Households and NPISHs Final consumption expenditure (current US$)/South Africa/GHA", - "Industry (including construction), value added (current US$)/South Africa/GHA", - "Number of deaths ages 5-9 years/South Africa/GHA", - "Number of infant deaths/South Africa/GHA", - "Population in largest city/South Africa/GHA", - "Prevalence of current tobacco use (% of adults)/South Africa/GHA", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/South Africa/GHA", - "Renewable internal freshwater resources per capita (cubic meters)/South Africa/GHA", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/South Africa/GHA", - "Agricultural land (% of land area)/Europe/GRC", - "CO2 emissions (kg per PPP $ of GDP)/Europe/GRC", - "Consumer price index (2010 = 100)/Europe/GRC", - "Current health expenditure (% of GDP)/Europe/GRC", - "Current health expenditure per capita (current US$)/Europe/GRC", - "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/GRC", - "Fixed broadband subscriptions (per 100 people)/Europe/GRC", - "Gross value added at basic prices (GVA) (current US$)/Europe/GRC", - "Households and NPISHs Final consumption expenditure (current US$)/Europe/GRC", - "Industry (including construction), value added (current US$)/Europe/GRC", - "Number of deaths ages 5-9 years/Europe/GRC", - "Number of infant deaths/Europe/GRC", - "Population in largest city/Europe/GRC", - "Prevalence of current tobacco use (% of adults)/Europe/GRC", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/GRC", - "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/GRC", - "CO2 emissions (kg per PPP $ of GDP)/Europe/HRV", - "Current health expenditure per capita (current US$)/Europe/HRV", - "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/HRV", - "Fixed broadband subscriptions (per 100 people)/Europe/HRV", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/HRV", - "GNI (current US$)/Europe/HRV", - "Gross value added at basic prices (GVA) (current US$)/Europe/HRV", - "Households and NPISHs Final consumption expenditure (current US$)/Europe/HRV", - "Industry (including construction), value added (current US$)/Europe/HRV", - "Number of deaths ages 5-9 years/Europe/HRV", - "Number of infant deaths/Europe/HRV", - "Population in largest city/Europe/HRV", - "Prevalence of current tobacco use (% of adults)/Europe/HRV", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe/HRV", - "Access to electricity (% of population)/Asia/IDN", - "Agricultural land (% of land area)/Asia/IDN", - "CO2 emissions (kg per PPP $ of GDP)/Asia/IDN", - "Consumer price index (2010 = 100)/Asia/IDN", - "Current health expenditure (% of GDP)/Asia/IDN", - "Current health expenditure per capita (current US$)/Asia/IDN", - "Employment in industry (% of total employment) (modeled ILO estimate)/Asia/IDN", - "Export value index (2000 = 100)/Asia/IDN", - "Fixed broadband subscriptions (per 100 people)/Asia/IDN", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/IDN", - "GNI (current US$)/Asia/IDN", - "Gross value added at basic prices (GVA) (current US$)/Asia/IDN", - "Households and NPISHs Final consumption expenditure (current US$)/Asia/IDN", - "Industry (including construction), value added (current US$)/Asia/IDN", - "Number of deaths ages 5-9 years/Asia/IDN", - "Number of infant deaths/Asia/IDN", - "Population in largest city/Asia/IDN", - "Prevalence of current tobacco use (% of adults)/Asia/IDN", - "Renewable internal freshwater resources per capita (cubic meters)/Asia/IDN", - "Suicide mortality rate (per 100,000 population)/Asia/IDN", - "Access to electricity (% of population)/Asia/IND", - "Agricultural land (% of land area)/Asia/IND", - "CO2 emissions (kg per PPP $ of GDP)/Asia/IND", - "Consumer price index (2010 = 100)/Asia/IND", - "Current health expenditure (% of GDP)/Asia/IND", - "Current health expenditure per capita (current US$)/Asia/IND", - "Employment in industry (% of total employment) (modeled ILO estimate)/Asia/IND", - "Export value index (2000 = 100)/Asia/IND", - "Fixed broadband subscriptions (per 100 people)/Asia/IND", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/IND", - "GNI (current US$)/Asia/IND", - "Gross value added at basic prices (GVA) (current US$)/Asia/IND", - "Households and NPISHs Final consumption expenditure (current US$)/Asia/IND", - "Industry (including construction), value added (current US$)/Asia/IND", - "Number of deaths ages 5-9 years/Asia/IND", - "Number of infant deaths/Asia/IND", - "Population in largest city/Asia/IND", - "Prevalence of current tobacco use (% of adults)/Asia/IND", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Asia/IND", - "Renewable internal freshwater resources per capita (cubic meters)/Asia/IND", - "Suicide mortality rate (per 100,000 population)/Asia/IND", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Asia/IND", - "Access to electricity (% of population)/Persian Gulf/IRQ", - "Export value index (2000 = 100)/Persian Gulf/IRQ", - "GNI (current US$)/Persian Gulf/IRQ", - "Gross value added at basic prices (GVA) (current US$)/Persian Gulf/IRQ", - "Households and NPISHs Final consumption expenditure (current US$)/Persian Gulf/IRQ", - "Industry (including construction), value added (current US$)/Persian Gulf/IRQ", - "Number of infant deaths/Persian Gulf/IRQ", - "Prevalence of current tobacco use (% of adults)/Persian Gulf/IRQ", - "Agricultural land (% of land area)/North Africa/ISR", - "CO2 emissions (kg per PPP $ of GDP)/North Africa/ISR", - "Consumer price index (2010 = 100)/North Africa/ISR", - "Current health expenditure per capita (current US$)/North Africa/ISR", - "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa/ISR", - "Fixed broadband subscriptions (per 100 people)/North Africa/ISR", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa/ISR", - "GNI (current US$)/North Africa/ISR", - "Gross value added at basic prices (GVA) (current US$)/North Africa/ISR", - "Households and NPISHs Final consumption expenditure (current US$)/North Africa/ISR", - "Industry (including construction), value added (current US$)/North Africa/ISR", - "Number of deaths ages 5-9 years/North Africa/ISR", - "Number of infant deaths/North Africa/ISR", - "Population in largest city/North Africa/ISR", - "Prevalence of current tobacco use (% of adults)/North Africa/ISR", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/North Africa/ISR", - "Ratio of female to male labor force participation rate (%) (national estimate)/North Africa/ISR", - "Renewable internal freshwater resources per capita (cubic meters)/North Africa/ISR", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/North Africa/ISR", - "Agricultural land (% of land area)/Asia/KOR", - "CO2 emissions (kg per PPP $ of GDP)/Asia/KOR", - "Consumer price index (2010 = 100)/Asia/KOR", - "Current health expenditure (% of GDP)/Asia/KOR", - "Current health expenditure per capita (current US$)/Asia/KOR", - "Employment in industry (% of total employment) (modeled ILO estimate)/Asia/KOR", - "Export value index (2000 = 100)/Asia/KOR", - "Fixed broadband subscriptions (per 100 people)/Asia/KOR", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/KOR", - "GNI (current US$)/Asia/KOR", - "Gross value added at basic prices (GVA) (current US$)/Asia/KOR", - "Households and NPISHs Final consumption expenditure (current US$)/Asia/KOR", - "Industry (including construction), value added (current US$)/Asia/KOR", - "Number of deaths ages 5-9 years/Asia/KOR", - "Number of infant deaths/Asia/KOR", - "Prevalence of current tobacco use (% of adults)/Asia/KOR", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Asia/KOR", - "Ratio of female to male labor force participation rate (%) (national estimate)/Asia/KOR", - "Renewable internal freshwater resources per capita (cubic meters)/Asia/KOR", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Asia/KOR", - "Access to electricity (% of population)/South Africa/LBR", - "Agricultural land (% of land area)/South Africa/LBR", - "Consumer price index (2010 = 100)/South Africa/LBR", - "Current health expenditure per capita (current US$)/South Africa/LBR", - "Fixed broadband subscriptions (per 100 people)/South Africa/LBR", - "GNI (current US$)/South Africa/LBR", - "Industry (including construction), value added (current US$)/South Africa/LBR", - "Number of infant deaths/South Africa/LBR", - "Prevalence of current tobacco use (% of adults)/South Africa/LBR", - "Renewable internal freshwater resources per capita (cubic meters)/South Africa/LBR", - "Access to electricity (% of population)/North Africa/MAR", - "CO2 emissions (kg per PPP $ of GDP)/North Africa/MAR", - "Consumer price index (2010 = 100)/North Africa/MAR", - "Current health expenditure per capita (current US$)/North Africa/MAR", - "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa/MAR", - "Export value index (2000 = 100)/North Africa/MAR", - "Fixed broadband subscriptions (per 100 people)/North Africa/MAR", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa/MAR", - "GNI (current US$)/North Africa/MAR", - "Gross value added at basic prices (GVA) (current US$)/North Africa/MAR", - "Households and NPISHs Final consumption expenditure (current US$)/North Africa/MAR", - "Industry (including construction), value added (current US$)/North Africa/MAR", - "Number of deaths ages 5-9 years/North Africa/MAR", - "Number of infant deaths/North Africa/MAR", - "Population in largest city/North Africa/MAR", - "Prevalence of current tobacco use (% of adults)/North Africa/MAR", - "Renewable internal freshwater resources per capita (cubic meters)/North Africa/MAR", - "Suicide mortality rate (per 100,000 population)/North Africa/MAR", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/North Africa/MAR", - "Access to electricity (% of population)/Latam/MEX", - "CO2 emissions (kg per PPP $ of GDP)/Latam/MEX", - "Consumer price index (2010 = 100)/Latam/MEX", - "Current health expenditure per capita (current US$)/Latam/MEX", - "Export value index (2000 = 100)/Latam/MEX", - "Fixed broadband subscriptions (per 100 people)/Latam/MEX", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam/MEX", - "GNI (current US$)/Latam/MEX", - "Gross value added at basic prices (GVA) (current US$)/Latam/MEX", - "Households and NPISHs Final consumption expenditure (current US$)/Latam/MEX", - "Industry (including construction), value added (current US$)/Latam/MEX", - "Number of deaths ages 5-9 years/Latam/MEX", - "Number of infant deaths/Latam/MEX", - "Population in largest city/Latam/MEX", - "Prevalence of current tobacco use (% of adults)/Latam/MEX", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam/MEX", - "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/MEX", - "Renewable internal freshwater resources per capita (cubic meters)/Latam/MEX", - "Suicide mortality rate (per 100,000 population)/Latam/MEX", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/MEX", - "Access to electricity (% of population)/South Africa/MOZ", - "Agricultural land (% of land area)/South Africa/MOZ", - "Consumer price index (2010 = 100)/South Africa/MOZ", - "Current health expenditure (% of GDP)/South Africa/MOZ", - "Current health expenditure per capita (current US$)/South Africa/MOZ", - "Employment in industry (% of total employment) (modeled ILO estimate)/South Africa/MOZ", - "Export value index (2000 = 100)/South Africa/MOZ", - "Fixed broadband subscriptions (per 100 people)/South Africa/MOZ", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/South Africa/MOZ", - "GNI (current US$)/South Africa/MOZ", - "Gross value added at basic prices (GVA) (current US$)/South Africa/MOZ", - "Households and NPISHs Final consumption expenditure (current US$)/South Africa/MOZ", - "Industry (including construction), value added (current US$)/South Africa/MOZ", - "Number of deaths ages 5-9 years/South Africa/MOZ", - "Number of infant deaths/South Africa/MOZ", - "Population in largest city/South Africa/MOZ", - "Prevalence of current tobacco use (% of adults)/South Africa/MOZ", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/South Africa/MOZ", - "Ratio of female to male labor force participation rate (%) (national estimate)/South Africa/MOZ", - "Renewable internal freshwater resources per capita (cubic meters)/South Africa/MOZ", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/South Africa/MOZ", - "Access to electricity (% of population)/South Africa/NGA", - "Agricultural land (% of land area)/South Africa/NGA", - "CO2 emissions (kg per PPP $ of GDP)/South Africa/NGA", - "Consumer price index (2010 = 100)/South Africa/NGA", - "Current health expenditure per capita (current US$)/South Africa/NGA", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/South Africa/NGA", - "GNI (current US$)/South Africa/NGA", - "Gross value added at basic prices (GVA) (current US$)/South Africa/NGA", - "Households and NPISHs Final consumption expenditure (current US$)/South Africa/NGA", - "Industry (including construction), value added (current US$)/South Africa/NGA", - "Number of deaths ages 5-9 years/South Africa/NGA", - "Population in largest city/South Africa/NGA", - "Prevalence of current tobacco use (% of adults)/South Africa/NGA", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/South Africa/NGA", - "Renewable internal freshwater resources per capita (cubic meters)/South Africa/NGA", - "Suicide mortality rate (per 100,000 population)/South Africa/NGA", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/South Africa/NGA", - "Agricultural land (% of land area)/Europe/NLD", - "CO2 emissions (kg per PPP $ of GDP)/Europe/NLD", - "Consumer price index (2010 = 100)/Europe/NLD", - "Current health expenditure (% of GDP)/Europe/NLD", - "Current health expenditure per capita (current US$)/Europe/NLD", - "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/NLD", - "Export value index (2000 = 100)/Europe/NLD", - "Fixed broadband subscriptions (per 100 people)/Europe/NLD", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/NLD", - "GNI (current US$)/Europe/NLD", - "Gross value added at basic prices (GVA) (current US$)/Europe/NLD", - "Households and NPISHs Final consumption expenditure (current US$)/Europe/NLD", - "Industry (including construction), value added (current US$)/Europe/NLD", - "Number of deaths ages 5-9 years/Europe/NLD", - "Number of infant deaths/Europe/NLD", - "Population in largest city/Europe/NLD", - "Prevalence of current tobacco use (% of adults)/Europe/NLD", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/NLD", - "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/NLD", - "Renewable internal freshwater resources per capita (cubic meters)/Europe/NLD", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe/NLD", - "CO2 emissions (kg per PPP $ of GDP)/Persian Gulf/OMN", - "Consumer price index (2010 = 100)/Persian Gulf/OMN", - "Current health expenditure per capita (current US$)/Persian Gulf/OMN", - "Employment in industry (% of total employment) (modeled ILO estimate)/Persian Gulf/OMN", - "Export value index (2000 = 100)/Persian Gulf/OMN", - "Fixed broadband subscriptions (per 100 people)/Persian Gulf/OMN", - "GNI (current US$)/Persian Gulf/OMN", - "Gross value added at basic prices (GVA) (current US$)/Persian Gulf/OMN", - "Households and NPISHs Final consumption expenditure (current US$)/Persian Gulf/OMN", - "Industry (including construction), value added (current US$)/Persian Gulf/OMN", - "Number of deaths ages 5-9 years/Persian Gulf/OMN", - "Number of infant deaths/Persian Gulf/OMN", - "Population in largest city/Persian Gulf/OMN", - "Prevalence of current tobacco use (% of adults)/Persian Gulf/OMN", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Persian Gulf/OMN", - "Ratio of female to male labor force participation rate (%) (national estimate)/Persian Gulf/OMN", - "Renewable internal freshwater resources per capita (cubic meters)/Persian Gulf/OMN", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Persian Gulf/OMN", - "Access to electricity (% of population)/Latam/PAN", - "Agricultural land (% of land area)/Latam/PAN", - "CO2 emissions (kg per PPP $ of GDP)/Latam/PAN", - "Consumer price index (2010 = 100)/Latam/PAN", - "Current health expenditure per capita (current US$)/Latam/PAN", - "Export value index (2000 = 100)/Latam/PAN", - "Fixed broadband subscriptions (per 100 people)/Latam/PAN", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam/PAN", - "GNI (current US$)/Latam/PAN", - "Gross value added at basic prices (GVA) (current US$)/Latam/PAN", - "Households and NPISHs Final consumption expenditure (current US$)/Latam/PAN", - "Industry (including construction), value added (current US$)/Latam/PAN", - "Number of deaths ages 5-9 years/Latam/PAN", - "Number of infant deaths/Latam/PAN", - "Population in largest city/Latam/PAN", - "Prevalence of current tobacco use (% of adults)/Latam/PAN", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam/PAN", - "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/PAN", - "Renewable internal freshwater resources per capita (cubic meters)/Latam/PAN", - "Suicide mortality rate (per 100,000 population)/Latam/PAN", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/PAN", - "Access to electricity (% of population)/Latam/PER", - "CO2 emissions (kg per PPP $ of GDP)/Latam/PER", - "Consumer price index (2010 = 100)/Latam/PER", - "Current health expenditure (% of GDP)/Latam/PER", - "Current health expenditure per capita (current US$)/Latam/PER", - "Export value index (2000 = 100)/Latam/PER", - "Fixed broadband subscriptions (per 100 people)/Latam/PER", - "GNI (current US$)/Latam/PER", - "Gross value added at basic prices (GVA) (current US$)/Latam/PER", - "Households and NPISHs Final consumption expenditure (current US$)/Latam/PER", - "Industry (including construction), value added (current US$)/Latam/PER", - "Number of deaths ages 5-9 years/Latam/PER", - 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"Agricultural land (% of land area)/South Africa", - "Consumer price index (2010 = 100)/South Africa", - "Current health expenditure per capita (current US$)/South Africa", - "Fixed broadband subscriptions (per 100 people)/South Africa", - "GNI (current US$)/South Africa", - "Industry (including construction), value added (current US$)/South Africa", - "Number of infant deaths/South Africa", - "Prevalence of current tobacco use (% of adults)/South Africa", - "Renewable internal freshwater resources per capita (cubic meters)/South Africa", - "Access to electricity (% of population)/North Africa", - "CO2 emissions (kg per PPP $ of GDP)/North Africa", - "Consumer price index (2010 = 100)/North Africa", - "Current health expenditure per capita (current US$)/North Africa", - "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa", - "Export value index (2000 = 100)/North Africa", - "Fixed broadband subscriptions (per 100 people)/North Africa", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa", - "GNI (current US$)/North Africa", - "Gross value added at basic prices (GVA) (current US$)/North Africa", - "Households and NPISHs Final consumption expenditure (current US$)/North Africa", - "Industry (including construction), value added (current US$)/North Africa", - "Number of deaths ages 5-9 years/North Africa", - "Number of infant deaths/North Africa", - "Population in largest city/North Africa", - "Prevalence of current tobacco use (% of adults)/North Africa", - "Renewable internal freshwater resources per capita (cubic meters)/North Africa", - "Suicide mortality rate (per 100,000 population)/North Africa", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/North Africa", - "Access to electricity (% of population)/Latam", - "CO2 emissions (kg per PPP $ of GDP)/Latam", - "Consumer price index (2010 = 100)/Latam", - "Current health expenditure per capita (current US$)/Latam", - "Export value index (2000 = 100)/Latam", - "Fixed broadband subscriptions (per 100 people)/Latam", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam", - "GNI (current US$)/Latam", - "Gross value added at basic prices (GVA) (current US$)/Latam", - "Households and NPISHs Final consumption expenditure (current US$)/Latam", - "Industry (including construction), value added (current US$)/Latam", - "Number of deaths ages 5-9 years/Latam", - "Number of infant deaths/Latam", - "Population in largest city/Latam", - "Prevalence of current tobacco use (% of adults)/Latam", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam", - "Ratio of female to male labor force participation rate (%) (national estimate)/Latam", - "Renewable internal freshwater resources per capita (cubic meters)/Latam", - "Suicide mortality rate (per 100,000 population)/Latam", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam", - "Access to electricity (% of population)/South Africa", - "Agricultural land (% of land area)/South Africa", - 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"CO2 emissions (kg per PPP $ of GDP)/Latam", - "Consumer price index (2010 = 100)/Latam", - "Current health expenditure per capita (current US$)/Latam", - "Export value index (2000 = 100)/Latam", - "Fixed broadband subscriptions (per 100 people)/Latam", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam", - "GNI (current US$)/Latam", - "Gross value added at basic prices (GVA) (current US$)/Latam", - "Households and NPISHs Final consumption expenditure (current US$)/Latam", - "Industry (including construction), value added (current US$)/Latam", - "Number of deaths ages 5-9 years/Latam", - "Number of infant deaths/Latam", - "Population in largest city/Latam", - "Prevalence of current tobacco use (% of adults)/Latam", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam", - "Ratio of female to male labor force participation rate (%) (national estimate)/Latam", - "Renewable internal freshwater resources per capita (cubic meters)/Latam", - "Suicide mortality rate (per 100,000 population)/Latam", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam", - "Access to electricity (% of population)/Latam", - "CO2 emissions (kg per PPP $ of GDP)/Latam", - "Consumer price index (2010 = 100)/Latam", - "Current health expenditure (% of GDP)/Latam", - "Current health expenditure per capita (current US$)/Latam", - "Export value index (2000 = 100)/Latam", - "Fixed broadband subscriptions (per 100 people)/Latam", - "GNI (current US$)/Latam", - "Gross value added at basic prices (GVA) (current US$)/Latam", - "Households and NPISHs Final consumption expenditure (current US$)/Latam", - "Industry (including construction), value added (current US$)/Latam", - "Number of deaths ages 5-9 years/Latam", - "Number of infant deaths/Latam", - "Population in largest city/Latam", - "Prevalence of current tobacco use (% of adults)/Latam", - "Renewable internal freshwater resources per capita (cubic meters)/Latam", - 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}, - { - "args": [], - "label": "Current health expenditure per capita (current US$)", - "method": "update" - }, - { - "args": [], - "label": "Export value index (2000 = 100)", - "method": "update" - }, - { - "args": [], - "label": "CO2 emissions (kg per PPP $ of GDP)", - "method": "update" - }, - { - "args": [], - "label": "Consumer price index (2010 = 100)", - "method": "update" - }, - { - "args": [], - "label": "Ratio of female to male labor force participation rate (%) (national estimate)", - "method": "update" - }, - { - "args": [], - "label": "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "method": "update" - }, - { - "args": [], - "label": "Prevalence of current tobacco use (% of adults)", - "method": "update" - }, - { - "args": [], - "label": "Fixed broadband subscriptions (per 100 people)", - "method": "update" - }, - { - "args": [], - "label": "Employment in industry (% of total employment) (modeled ILO estimate)", - "method": "update" - }, - { - "args": [], - "label": "Number of infant deaths", - "method": "update" - }, - { - "args": [], - "label": "Current health expenditure (% of GDP)", - "method": "update" - }, - { - "args": [], - "label": "Population in largest city", - "method": "update" - }, - { - "args": [], - "label": "Renewable internal freshwater resources per capita (cubic meters)", - "method": "update" - }, - { - "args": [], - "label": "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "method": "update" - }, - { - "args": [], - "label": "Suicide mortality rate (per 100,000 population)", - "method": "update" - }, - { - "args": [], - "label": "Access to electricity (% of population)", - "method": "update" - } - ], - "direction": "down", - "showactive": true, - "type": "dropdown" - } - ] - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#TREEMAP: Graph for seeing the correlation of each indicator in each country.\n", - "#To resolve args[], but it works.\n", - "\n", - "fig2=px.treemap(selected_primary,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu')\n", - "\n", - "indics=list(selected_primary['Indicator'].unique())\n", - "buttons = []\n", - "for indic in indics:\n", - " selected_primary_i = selected_primary.loc[(selected_primary['Indicator'] == indic)]\n", - " fig_indicator = px.treemap(selected_primary_i,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman')\n", - " buttons.append(\n", - " dict(\n", - " label=indic,\n", - " method=\"update\",\n", - " args=[]\n", - " )\n", - " )\n", - "\n", - "fig2.update_layout(\n", - " updatemenus=[\n", - " dict(\n", - " type=\"dropdown\",\n", - " direction=\"down\",\n", - " showactive=True,\n", - " buttons=buttons\n", - " )\n", - " ]\n", - ")" - ] - }, { "cell_type": "code", "execution_count": 94, @@ -43595,7 +34240,7 @@ } ], "source": [ - "#TREEMAP: Graph for seeing the correlation of each indicator in each country.\n", + "#TREEMAP: Graph for seeing the correlation worldwide.\n", "\n", "#By indicator.\n", "\n", @@ -225676,7 +216321,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.9.12 ('base')", + "display_name": "Python 3.10.4 64-bit", "language": "python", "name": "python3" }, @@ -225690,11 +216335,11 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.10.4" }, "vscode": { "interpreter": { - "hash": "db2f77d7771d8a0072cf3f8e7f9965a22a9c65bf4f8ee5135b3d479c9967abaa" + "hash": "e21cf16a31979fe9d2d6e9786ebc932e404e707404f15260e38504afc6c53159" } } }, From 5f89c1f6aa75a42d07a2feb26169fdde83b82a49 Mon Sep 17 00:00:00 2001 From: amarchve Date: Thu, 4 Aug 2022 08:14:48 +0200 Subject: [PATCH 84/86] Cap logo --- WDI-Complete code.ipynb | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index d4eb0ee..dfcf029 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -5,7 +5,11 @@ "metadata": {}, "source": [ "

Phrontistery - Data Driven Decisions

\n", - "

The Big Three

" + "

The Big Three

\n", + "\n", + "
\n", + " \n", + "
" ] }, { From bd9e9389a612d5e8bdb107e13e24cc59795a3157 Mon Sep 17 00:00:00 2001 From: amarchve Date: Thu, 4 Aug 2022 08:30:42 +0200 Subject: [PATCH 85/86] Divided notebooks --- ...elation and visualization of results.ipynb | 206377 +++++++++++++++ WDI-Extraction.ipynb | 126 + WDI-Integration.ipynb | 912 + WDI-Normalization&Categorization.ipynb | 8155 + WDI-Spurious.ipynb | 958 + 5 files changed, 216528 insertions(+) create mode 100644 WDI-Correlation and visualization of results.ipynb create mode 100644 WDI-Extraction.ipynb create mode 100644 WDI-Integration.ipynb create mode 100644 WDI-Normalization&Categorization.ipynb create mode 100644 WDI-Spurious.ipynb diff --git a/WDI-Correlation and visualization of results.ipynb b/WDI-Correlation and visualization of results.ipynb new file mode 100644 index 0000000..8d8f7f5 --- /dev/null +++ b/WDI-Correlation and visualization of results.ipynb @@ -0,0 +1,206377 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Correlation study" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Import libraries and functions." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import glob\n", + "import os\n", + "from zipfile import ZipFile\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")\n", + "import functools as ft\n", + "import ipywidgets as widgets\n", + "from ipywidgets import Layout\n", + "from ipywidgets import interact, interact_manual\n", + "import plotly.express as px\n", + "from scipy import stats\n", + "from scipy.stats import shapiro\n", + "from scipy.stats import pearsonr\n", + "from scipy.stats import spearmanr\n", + "from pandas.api.types import is_numeric_dtype" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For the correlation study, we are going to check if the indicators are related in a relevantly way to GDP(current US$), through both Pearson and Spearman correlations and their respective p-values. Thus, our hypotheses are as follow:\n", + "\n", + "- H_0: the indicator and the GDP are uncorrelated.​\n", + "- H_1: the indicator and the GDP are correlated.​\n", + "\n", + "**If p-value < α then reject H_0 and accept H_1.​**\n", + "\n", + "P-value: is the probability of obtaining test results at least as extreme as the result actually observed. (Marging of the error)\n", + "\n", + "​Confidence level (α): probability that a population parameter will fall between a set of values for a certain proportion of times. α = 1 - p-value.\n", + "\n", + "​Significance level: probability of the study rejecting the null hypothesis when it is actually true.​ \n", + "\n", + "At the end we want to follow a process that checks if with Pearson and Spearman the correlation is relevant, as the image below ilustrates. \n", + "\n", + "![](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/main-the-big-three/Logos/Spearman%20and%20pearson%20process.JPG)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "Categorization4= pd.read_csv (os.getcwd()+'/Data/'+'Categorization.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "indicators_list=Categorization4['Indicator'].unique().tolist()" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "columns=indicators_list+['Country','Year','Continent']\n", + "clist=Categorization4['Country'].unique()\n", + "common=['Unnamed: 0','Country','Year']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The correlation between two variables does not always need to be a linear one, since data of these variables can follow a different distribution that better adjusts. Therefore, we have computed four types (linear, quadratic, cubic and logarithmic) for each indicator in each country and we chose the one with the highest correlation. In the following cell, we have defined a function that will allow us to calculate the different posibilities of relations: cuadratic, cubic and logaritmic." + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "def multcolumn(frame):\n", + " for u in range(0, len(columns)-3):\n", + " name=columns[u]+'¨l'\n", + " name2=columns[u]+'¨^2'\n", + " name3=columns[u]+'¨^3'\n", + " namelog=columns[u]+'¨log'\n", + " frame.loc[:,name2] = frame[columns[u]]**2\n", + " frame.loc[:,name3] = frame[columns[u]]**3\n", + " frame.loc[:,namelog] = np.log(frame[columns[u]])\n", + " frame.rename(columns={columns[u]:name}, inplace=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Moreover, we want to know the correlation between all the variables, so to acomplish this, we have created the following loop, which will help us create a new dataframe where we will have: the *Indicator*, the *Type* of relation, the value of the *R^2*, its *Behaviour*, the *Country* and the *Continent*." + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "df= pd.read_csv (os.getcwd()+'/Data/'+'GoldenDataFrame.csv')\n", + "df_study=df[[c for c in df.columns if c in columns]]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "multcolumn(df_study)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Firstly we are going to create two lists for the variables, which their level of confidence for each correlation, so later on, we can calculate only the correlations of those variables. Which will be filtered by the values that we want from the following sliders. The predetermined values for each case are 0.05 for the values and 0.75 for them to be a relevant correlations." + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b20e00c8aeca422da078f4eaca6d3986", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.05, continuous_update=False, description='Level of confidence (Pearson):', max=1.0, step=0…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4500dbbc0fff401197dd1817a20a276b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.75, continuous_update=False, description='Relevant correlation (Pearson):', max=1.0, step=…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "987be8a539424a90b91f2e4a5abfc97d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.05, continuous_update=False, description='Level of confidence (Spearman):', max=1.0, step=…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b7a8261513664525a5402f32530114c9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.75, continuous_update=False, description='Relevant correlation (Spearman):', max=1.0, step…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "apv=widgets.FloatSlider(value=0.05,min=0,max=1.0,step=0.025,description='Level of confidence (Pearson):',disabled=False,continuous_update=False,orientation='horizontal',readout=True)\n", + "cpv=widgets.FloatSlider( value=0.05, min=0, max=1.0, step=0.05, description='Level of confidence (Spearman):', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", + "bcor=widgets.FloatSlider( value=0.75, min=0, max=1.0, step=0.05, description='Relevant correlation (Pearson):', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", + "dcor=widgets.FloatSlider( value=0.75, min=0, max=1.0, step=0.05, description='Relevant correlation (Spearman):', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", + "display(apv,bcor,cpv,dcor)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the following block, we check the hypotheses set before and extract only the variables that deny H_0." + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "dat=df_study.loc[df_study.loc[:, 'Country'] == clist[0]]\n", + "listacorpe=[]\n", + "listacorsp=[]\n", + "clmns=dat.columns.values.tolist()\n", + "dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", + "for c in range(0, len(clmns)):\n", + " if dat[clmns[c]].isna().sum()>=1:\n", + " del(dat[clmns[c]])\n", + "pilares=dat.columns.values.tolist()\n", + "for u in range(0,len(pilares)):\n", + " if is_numeric_dtype(dat[pilares[u]]):\n", + " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$)¨l'])\n", + " if pvalue<=apv.value:\n", + " listacorpe.append(pilares[u])\n", + " else:\n", + " pass\n", + " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$)¨l'])\n", + " if pvalue<=cpv.value:\n", + " listacorsp.append(pilares[u])\n", + " else:\n", + " pass\n", + " else:\n", + " pass" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Secondly, we need to calculate the correlation table for each country, therefore we use the basic function `corr()` which provides either the Pearson correlation table or the Spearman correlation table, as well as a filter for the countries." + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "dat=df_study.loc[df_study.loc[:, 'Country'] == clist[0]]\n", + "\n", + "datp=dat[dat.columns[dat.columns.isin(listacorpe)]]\n", + "corp=datp.corr('pearson')\n", + "\n", + "datsp=dat[dat.columns[dat.columns.isin(listacorsp)]]\n", + "cors=datsp.corr('spearman')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then we calculate the coefficient of determination which is the correlation squared." + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$)¨l']**2\n", + "\n", + "cors.loc[:,'R^2 Spearman'] = cors['GDP (current US$)¨l']**2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Moreover, we are going to create new columns to know which *Indicator* are we talking about, and the *Type* of correlation that is being analyzed (linear, cuadratic, cubic or logarithmic)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "corp.loc[:,'Indicator']=corp.index\n", + "corp[['Indicator','Type']]=corp.Indicator.str.split('¨',1, expand=True)\n", + "\n", + "cors.loc[:,'Indicator']=cors.index\n", + "cors[['Indicator','Type']]=cors.Indicator.str.split('¨',1, expand=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we can apply the filter we have consider that is enough, selected on the slider. If is not varied it is R^2>=0.75 to filter the correlations." + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$)¨l']]\n", + "corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >=bcor.value]\n", + "\n", + "corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$)¨l']]\n", + "corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor.value]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Furthermore, we add all the columns that we have created into a data frame, thanks to the following cell." + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "idp=corpcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corpcolumn['R^2 Pearson']\n", + "corpcolumn[idp]\n", + "maxp_df=pd.DataFrame(corpcolumn[idp])\n", + "\n", + "ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", + "corscolumn[ids]\n", + "maxs_df=pd.DataFrame(corscolumn[ids])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here, we conmute the values, by expressions. For example if the correlation is positive, we want in the new column called *Behaviour* the word Positive. Or for the *Type* column if the greatest correlation is cuadratic we want to put, Cuadratic. We also add the country." + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "maxp_df['Behaviour']=np.where(maxp_df['GDP (current US$)¨l']>0, 'Positive', 'Negative')\n", + "maxp_df['Type']=maxp_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", + "maxp_df['Country']= clist[0]\n", + "\n", + "maxs_df['Behaviour']=np.where(maxs_df['GDP (current US$)¨l']>0, 'Positive', 'Negative')\n", + "maxs_df['Type']=maxs_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", + "maxs_df['Country']= clist[0]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In addition, we also drop the columns which do not add any value, as *GDP*, *Year*, and *Unnamed:0*." + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "maxp_df.drop(\"GDP (current US$)¨l\",axis=1,inplace=True)\n", + "maxp_df=maxp_df.reset_index(drop=True)\n", + "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Year'].index)\n", + "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='GDP (current US$)'].index)\n", + "maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Unnamed: 0'].index)\n", + "\n", + "maxs_df.drop(\"GDP (current US$)¨l\",axis=1,inplace=True)\n", + "maxs_df=maxs_df.reset_index(drop=True)\n", + "maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", + "maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='GDP (current US$)'].index)\n", + "maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", + "maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And finally we sort the values in descending order by the column *R^2 Pearson*." + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "maxp_df_deu=maxp_df.sort_values(by = 'R^2 Pearson',ascending = False)\n", + "pearsondf= maxp_df_deu\n", + "spearmandf=maxs_df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So, we can do it with all the countries and create just one dataframe, where we match both data frames, the Pearson and the Spearman, only where there is a case in both sides. Meaning if there is a relevant correlation for Country x in Variable y for Pearson, it will only appear if there is also a relevant correlation for Country x in Variable y for Spearman." + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorR^2 SpearmanTypeBehaviourCountryR^2 Pearson
0Adjusted net national income (current US$)0.996519LinearPositiveDEU0.999141
1Gross value added at basic prices (GVA) (curre...0.996519LinearPositiveDEU0.999851
2GNI (current US$)0.996337LinearPositiveDEU0.999362
3Gross national expenditure (current US$)0.990490LinearPositiveDEU0.997181
4Final consumption expenditure (current US$)0.988302LinearPositiveDEU0.996540
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5965Prevalence of anemia among women of reproducti...0.793298LogarithmicNegativeCHN0.752969
5966Logistics performance index: Ability to track ...0.788049LogarithmicPositiveCHN0.926947
5967Logistics performance index: Competence and qu...0.788049LogarithmicPositiveCHN0.890297
5968Out-of-pocket expenditure (% of current health...0.782573LogarithmicNegativeCHN0.929883
5969Domestic general government health expenditure...0.758910CubicPositiveCHN0.797637
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5970 rows × 6 columns

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" + ], + "text/plain": [ + " Indicator R^2 Spearman \\\n", + "0 Adjusted net national income (current US$) 0.996519 \n", + "1 Gross value added at basic prices (GVA) (curre... 0.996519 \n", + "2 GNI (current US$) 0.996337 \n", + "3 Gross national expenditure (current US$) 0.990490 \n", + "4 Final consumption expenditure (current US$) 0.988302 \n", + "... ... ... \n", + "5965 Prevalence of anemia among women of reproducti... 0.793298 \n", + "5966 Logistics performance index: Ability to track ... 0.788049 \n", + "5967 Logistics performance index: Competence and qu... 0.788049 \n", + "5968 Out-of-pocket expenditure (% of current health... 0.782573 \n", + "5969 Domestic general government health expenditure... 0.758910 \n", + "\n", + " Type Behaviour Country R^2 Pearson \n", + "0 Linear Positive DEU 0.999141 \n", + "1 Linear Positive DEU 0.999851 \n", + "2 Linear Positive DEU 0.999362 \n", + "3 Linear Positive DEU 0.997181 \n", + "4 Linear Positive DEU 0.996540 \n", + "... ... ... ... ... \n", + "5965 Logarithmic Negative CHN 0.752969 \n", + "5966 Logarithmic Positive CHN 0.926947 \n", + "5967 Logarithmic Positive CHN 0.890297 \n", + "5968 Logarithmic Negative CHN 0.929883 \n", + "5969 Cubic Positive CHN 0.797637 \n", + "\n", + "[5970 rows x 6 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pearsondf\n", + "spearmandf\n", + "for i in range(1,len(clist)):\n", + " dat=df_study.loc[df_study.loc[:, 'Country'] == clist[i]]\n", + " listacorpe=[]\n", + " listacorsp=[]\n", + " clmns=dat.columns.values.tolist()\n", + " dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", + " for c in range(0, len(clmns)):\n", + " if dat[clmns[c]].isna().sum()>=1:\n", + " del(dat[clmns[c]])\n", + " pilares=dat.columns.values.tolist()\n", + " for u in range(0,len(pilares)):\n", + " if is_numeric_dtype(dat[pilares[u]]):\n", + " correlation, pvalue=pearsonr(dat[pilares[u]], dat['GDP (current US$)¨l'])\n", + " if pvalue<=apv.value:\n", + " listacorpe.append(pilares[u])\n", + " else:\n", + " pass\n", + " correlation, pvalue=spearmanr(dat[pilares[u]], dat['GDP (current US$)¨l'])\n", + " if pvalue<=cpv.value:\n", + " listacorsp.append(pilares[u])\n", + " else:\n", + " pass\n", + " else:\n", + " pass\n", + " \n", + " dat=df_study.loc[df_study.loc[:, 'Country'] == clist[i]]\n", + "\n", + " datp=dat[dat.columns[dat.columns.isin(listacorpe)]]\n", + " corp=datp.corr('pearson')\n", + "\n", + " datsp=dat[dat.columns[dat.columns.isin(listacorsp)]]\n", + " cors=datsp.corr('spearman')\n", + "\n", + "\n", + " corp.loc[:,'R^2 Pearson'] = corp['GDP (current US$)¨l']**2\n", + "\n", + " cors.loc[:,'R^2 Spearman'] = cors['GDP (current US$)¨l']**2\n", + "\n", + "\n", + " corp.loc[:,'Indicator']=corp.index\n", + " corp[['Indicator','Type']]=corp.Indicator.str.split('¨',1, expand=True)\n", + "\n", + " cors.loc[:,'Indicator']=cors.index\n", + " cors[['Indicator','Type']]=cors.Indicator.str.split('¨',1, expand=True)\n", + "\n", + "\n", + " corpcolumn=corp[['Indicator','R^2 Pearson','Type','GDP (current US$)¨l']]\n", + " corpcolumn=corpcolumn.loc[corpcolumn.loc[:, 'R^2 Pearson'] >= bcor.value]\n", + " \n", + " corscolumn=cors[['Indicator','R^2 Spearman','Type','GDP (current US$)¨l']]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor.value]\n", + "\n", + "\n", + " idp=corpcolumn.groupby('Indicator')['R^2 Pearson'].transform(max)==corpcolumn['R^2 Pearson']\n", + " corpcolumn[idp]\n", + " maxp_df=pd.DataFrame(corpcolumn[idp])\n", + "\n", + " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", + " corscolumn[ids]\n", + " maxs_df=pd.DataFrame(corscolumn[ids])\n", + "\n", + "\n", + " maxp_df['Behaviour']=np.where(maxp_df['GDP (current US$)¨l']>0, 'Positive', 'Negative')\n", + " maxp_df['Type']=maxp_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", + " maxp_df['Country']= clist[i]\n", + "\n", + " maxs_df['Behaviour']=np.where(maxs_df['GDP (current US$)¨l']>0, 'Positive', 'Negative')\n", + " maxs_df['Type']=maxs_df['Type'].replace(['l','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", + " maxs_df['Country']= clist[i]\n", + "\n", + "\n", + " maxp_df.drop(\"GDP (current US$)¨l\",axis=1,inplace=True)\n", + " maxp_df=maxp_df.reset_index(drop=True)\n", + " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Year'].index)\n", + " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='GDP (current US$)'].index)\n", + " maxp_df = maxp_df.drop(maxp_df[maxp_df['Indicator']=='Unnamed: 0'].index)\n", + "\n", + " maxs_df.drop(\"GDP (current US$)¨l\",axis=1,inplace=True)\n", + " maxs_df=maxs_df.reset_index(drop=True)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='GDP (current US$)'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", + " maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)\n", + "\n", + "\n", + " maxp_df=maxp_df.sort_values(by = 'R^2 Pearson',ascending = False)\n", + " pearsondf=pd.concat((pearsondf, maxp_df), axis = 0)\n", + " spearmandf=pd.concat((spearmandf, maxs_df), axis = 0)\n", + "\n", + "corrtable=spearmandf.merge(pearsondf, left_on=('Indicator', 'Country','Type','Behaviour'), right_on=('Indicator', 'Country','Type','Behaviour'))\n", + "display(corrtable)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, a table has been created showing the number of times a variable has a high relationship in our 48 countries. These that appear many times will be interesting for us to draw conclusions. Then, we will checck if they are primary or seconday variable type." + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "columnssf=corrtable.Indicator.to_list()\n", + "columnsf=np.unique(columnssf)" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorNumber of times repeated
127GDP per capita (current US$)46
178Industry (including construction), value added...46
132GNI (current US$)46
152Households and NPISHs Final consumption expend...45
108Final consumption expenditure (current US$)45
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250Net official development assistance and offici...1
248Net capital account (BoP, current US$)1
246Natural gas rents (% of GDP)1
29Arms exports (SIPRI trend indicator values)1
142Gross fixed capital formation (% of GDP)1
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405 rows × 2 columns

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" + ], + "text/plain": [ + " Indicator \\\n", + "127 GDP per capita (current US$) \n", + "178 Industry (including construction), value added... \n", + "132 GNI (current US$) \n", + "152 Households and NPISHs Final consumption expend... \n", + "108 Final consumption expenditure (current US$) \n", + ".. ... \n", + "250 Net official development assistance and offici... \n", + "248 Net capital account (BoP, current US$) \n", + "246 Natural gas rents (% of GDP) \n", + "29 Arms exports (SIPRI trend indicator values) \n", + "142 Gross fixed capital formation (% of GDP) \n", + "\n", + " Number of times repeated \n", + "127 46 \n", + "178 46 \n", + "132 46 \n", + "152 45 \n", + "108 45 \n", + ".. ... \n", + "250 1 \n", + "248 1 \n", + "246 1 \n", + "29 1 \n", + "142 1 \n", + "\n", + "[405 rows x 2 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "powerind=[]\n", + "for i in range(0, len(columnsf)):\n", + " powerind.append(columnssf.count(columnsf[i]))\n", + "\n", + "df_indicators = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Indicator','Number of times repeated'])\n", + "df_indicators=df_indicators.sort_values(by = 'Number of times repeated',ascending = False)\n", + "df_indicators\n", + "display(df_indicators)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "#To get list of all number of times repeated.\n", + "#from IPython.display import HTML\n", + "\n", + "#HTML(df_indicators.to_html(index=False))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "While for the temporal diferences, we want to know which works better in each case, the process to be followed is described in the following picture.\n", + "\n", + "![](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/main-the-big-three/Logos/Temporal%20process.JPG)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "df= pd.read_csv (os.getcwd()+'/Data/'+'GoldenDataFrame.csv')\n", + "df_study=df[[c for c in df.columns if c in columns]]" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "moveddf=pd.DataFrame()\n", + "dat=df_study.loc[df_study.loc[:, 'Country'] == clist[0]]\n", + "clmns=dat.columns.values.tolist()\n", + "dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", + "tempdiffs=['GDP (current US$)+1','GDP (current US$)+2','GDP (current US$)+3','GDP (current US$)+5','GDP (current US$)+8','GDP (current US$)+13','GDP (current US$)+21']\n", + "cors=dat.corr('spearman')\n", + "for f in range(0, len(tempdiffs)):\n", + " cors.loc[:,'R^2 Spearman'] = cors[tempdiffs[f]]**2\n", + " cors.loc[:,'Indicator']=cors.index\n", + " corscolumn=cors[['Indicator','R^2 Spearman',tempdiffs[f]]]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor.value]\n", + " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", + " corscolumn[ids]\n", + " maxs_df=pd.DataFrame(corscolumn[ids])\n", + " maxs_df['Behaviour']=np.where(maxs_df[tempdiffs[f]]>0, 'Positive', 'Negative')\n", + " maxs_df['Country']= clist[0]\n", + " maxs_df[['Variable','Moved']]=tempdiffs[f].split('+')\n", + " maxs_df.drop(tempdiffs[f],axis=1,inplace=True)\n", + " maxs_df.drop(columns='Variable',inplace=True)\n", + " maxs_df=maxs_df.reset_index(drop=True)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='GDP (current US$)'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator'].isin(tempdiffs)].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", + " maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)\n", + " moveddf=pd.concat((moveddf,maxs_df),axis=0)\n", + "ids=moveddf.groupby('Indicator')['R^2 Spearman'].transform(max)==moveddf['R^2 Spearman']\n", + "moveddf[ids]\n", + "moveddf=pd.DataFrame(moveddf[ids])\n", + "temporaldf=moveddf" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorR^2 SpearmanBehaviourCountryMoved
4Adjusted savings: education expenditure (curre...0.824514PositiveDEU1
35General government final consumption expenditu...0.822917PositiveDEU1
45Individuals using the Internet (% of population)0.822917PositiveDEU1
78Surface area (sq. km)0.821642PositiveDEU1
5Adolescent fertility rate (births per 1,000 wo...0.817804NegativeDEU1
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167Pump price for diesel fuel (US$ per liter)0.787248NegativeCHN21
168Pump price for gasoline (US$ per liter)0.787248NegativeCHN21
30Chemicals (% of value added in manufacturing)0.781385NegativeCHN21
162Proportion of population pushed below the $1.9...0.769754PositiveCHN21
38Depth of credit information index (0=low to 8=...0.750000PositiveCHN21
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9700 rows × 5 columns

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" + ], + "text/plain": [ + " Indicator R^2 Spearman \\\n", + "4 Adjusted savings: education expenditure (curre... 0.824514 \n", + "35 General government final consumption expenditu... 0.822917 \n", + "45 Individuals using the Internet (% of population) 0.822917 \n", + "78 Surface area (sq. km) 0.821642 \n", + "5 Adolescent fertility rate (births per 1,000 wo... 0.817804 \n", + ".. ... ... \n", + "167 Pump price for diesel fuel (US$ per liter) 0.787248 \n", + "168 Pump price for gasoline (US$ per liter) 0.787248 \n", + "30 Chemicals (% of value added in manufacturing) 0.781385 \n", + "162 Proportion of population pushed below the $1.9... 0.769754 \n", + "38 Depth of credit information index (0=low to 8=... 0.750000 \n", + "\n", + " Behaviour Country Moved \n", + "4 Positive DEU 1 \n", + "35 Positive DEU 1 \n", + "45 Positive DEU 1 \n", + "78 Positive DEU 1 \n", + "5 Negative DEU 1 \n", + ".. ... ... ... \n", + "167 Negative CHN 21 \n", + "168 Negative CHN 21 \n", + "30 Negative CHN 21 \n", + "162 Positive CHN 21 \n", + "38 Positive CHN 21 \n", + "\n", + "[9700 rows x 5 columns]" + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "for i in range(1,len(clist)):\n", + " dat=df_study.loc[df_study.loc[:, 'Country'] == clist[i]]\n", + " clmns=dat.columns.values.tolist()\n", + " dat.replace([np.inf, -np.inf], np.nan, inplace=True)\n", + " tempdiffs=['GDP (current US$)+1','GDP (current US$)+2','GDP (current US$)+3','GDP (current US$)+5','GDP (current US$)+8','GDP (current US$)+13','GDP (current US$)+21']\n", + " cors=dat.corr('spearman')\n", + " moveddf=pd.DataFrame()\n", + " for f in range(0, len(tempdiffs)):\n", + " cors.loc[:,'R^2 Spearman'] = cors[tempdiffs[f]]**2\n", + " cors.loc[:,'Indicator']=cors.index\n", + " corscolumn=cors[['Indicator','R^2 Spearman',tempdiffs[f]]]\n", + " corscolumn=corscolumn.loc[corscolumn.loc[:, 'R^2 Spearman'] >= dcor.value]\n", + " ids=corscolumn.groupby('Indicator')['R^2 Spearman'].transform(max)==corscolumn['R^2 Spearman']\n", + " corscolumn[ids]\n", + " maxs_df=pd.DataFrame(corscolumn[ids])\n", + " maxs_df['Behaviour']=np.where(maxs_df[tempdiffs[f]]>0, 'Positive', 'Negative')\n", + " maxs_df['Country']= clist[i]\n", + " maxs_df[['Variable','Moved']]=tempdiffs[f].split('+')\n", + " maxs_df.drop(tempdiffs[f],axis=1,inplace=True)\n", + " maxs_df.drop(columns='Variable',inplace=True)\n", + " maxs_df=maxs_df.reset_index(drop=True)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Year'].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator'].isin(tempdiffs)].index)\n", + " maxs_df = maxs_df.drop(maxs_df[maxs_df['Indicator']=='Unnamed: 0'].index)\n", + " maxs_df=maxs_df.sort_values(by = 'R^2 Spearman',ascending = False)\n", + " moveddf=pd.concat((moveddf,maxs_df),axis=0)\n", + " ids=moveddf.groupby('Indicator')['R^2 Spearman'].transform(max)==moveddf['R^2 Spearman']\n", + " moveddf[ids]\n", + " moveddf=pd.DataFrame(moveddf[ids])\n", + " temporaldf=pd.concat((temporaldf,moveddf),axis=0)\n", + "temporaldf" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorR^2 SpearmanBehaviourCountryMovedType
4Adjusted savings: education expenditure (curre...0.824514PositiveDEU1Does not apply
35General government final consumption expenditu...0.822917PositiveDEU1Does not apply
45Individuals using the Internet (% of population)0.822917PositiveDEU1Does not apply
78Surface area (sq. km)0.821642PositiveDEU1Does not apply
5Adolescent fertility rate (births per 1,000 wo...0.817804NegativeDEU1Does not apply
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5965Prevalence of anemia among women of reproducti...0.793298NegativeCHNDoes not applyLogarithmic
5966Logistics performance index: Ability to track ...0.788049PositiveCHNDoes not applyLogarithmic
5967Logistics performance index: Competence and qu...0.788049PositiveCHNDoes not applyLogarithmic
5968Out-of-pocket expenditure (% of current health...0.782573NegativeCHNDoes not applyLogarithmic
5969Domestic general government health expenditure...0.758910PositiveCHNDoes not applyCubic
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15670 rows × 6 columns

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" + ], + "text/plain": [ + " Indicator R^2 Spearman \\\n", + "4 Adjusted savings: education expenditure (curre... 0.824514 \n", + "35 General government final consumption expenditu... 0.822917 \n", + "45 Individuals using the Internet (% of population) 0.822917 \n", + "78 Surface area (sq. km) 0.821642 \n", + "5 Adolescent fertility rate (births per 1,000 wo... 0.817804 \n", + "... ... ... \n", + "5965 Prevalence of anemia among women of reproducti... 0.793298 \n", + "5966 Logistics performance index: Ability to track ... 0.788049 \n", + "5967 Logistics performance index: Competence and qu... 0.788049 \n", + "5968 Out-of-pocket expenditure (% of current health... 0.782573 \n", + "5969 Domestic general government health expenditure... 0.758910 \n", + "\n", + " Behaviour Country Moved Type \n", + "4 Positive DEU 1 Does not apply \n", + "35 Positive DEU 1 Does not apply \n", + "45 Positive DEU 1 Does not apply \n", + "78 Positive DEU 1 Does not apply \n", + "5 Negative DEU 1 Does not apply \n", + "... ... ... ... ... \n", + "5965 Negative CHN Does not apply Logarithmic \n", + "5966 Positive CHN Does not apply Logarithmic \n", + "5967 Positive CHN Does not apply Logarithmic \n", + "5968 Negative CHN Does not apply Logarithmic \n", + "5969 Positive CHN Does not apply Cubic \n", + "\n", + "[15670 rows x 6 columns]" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "alist=['Indicator','R^2 Spearman','Behaviour','Country','Type']\n", + "forcomparassion=corrtable[alist]\n", + "\n", + "quarterfinal=pd.concat((temporaldf,forcomparassion),axis=0)\n", + "quarterfinal.fillna('Does not apply',inplace=True)\n", + "quarterfinal" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "quarterfinal.to_csv(os.getcwd()+'/Data/Quarterfinal.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [], + "source": [ + "quarterfinal= pd.read_csv (os.getcwd()+'/Data/'+'Quarterfinal.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [ + "#To understand better the data, we categorize it (Area label and Primary/Secondary).\n", + "categories= pd.read_excel (os.getcwd()+'/Data/'+'dfindicators - Copy.xlsx')" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [], + "source": [ + "categories.rename(columns={'Type':'Group'}, inplace=True)\n", + "quarterfinal.drop(columns=('Unnamed: 0'), inplace=True)\n", + "clist=quarterfinal['Country'].unique()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To sum up, we compare both of the highest correlations and decide which is best, by comparing the R^2. So the process of searching for correlations is as follows.\n", + "\n", + "![](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/main-the-big-three/Logos/Final%20table%20process.JPG)" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorR^2 SpearmanBehaviourCountryMovedTypeContinentNumber of times repeated_xGroupLevelNumber of times repeated_y
0Adolescent fertility rate (births per 1,000 wo...0.817804NegativeDEU1Does not applyEurope22Demographysecondary40
1Adolescent fertility rate (births per 1,000 wo...0.759333NegativeSWE3Does not applyEurope22Demographysecondary40
2Adolescent fertility rate (births per 1,000 wo...0.936963NegativeGBR13Does not applyEurope22Demographysecondary40
3Adolescent fertility rate (births per 1,000 wo...0.786708NegativeHRV8Does not applyEurope22Demographysecondary40
4Adolescent fertility rate (births per 1,000 wo...0.924056NegativePOL21Does not applyEurope22Demographysecondary40
....................................
6640Completeness of birth registration (%)0.839228PositivePER5Does not applyLatam11Demoraphysecondary21
6641Completeness of birth registration (%)0.792184NegativeVEN1Does not applyLatam11Demoraphysecondary21
6642Completeness of birth registration (%)0.840648PositiveCOL2Does not applyLatam11Demoraphysecondary21
6643Completeness of birth registration (%)0.963636PositivePAN21Does not applyLatam11Demoraphysecondary21
6644Completeness of birth registration (%)0.789474PositiveCRI13Does not applyLatam11Demoraphysecondary21
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6645 rows × 11 columns

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" + ], + "text/plain": [ + " Indicator R^2 Spearman \\\n", + "0 Adolescent fertility rate (births per 1,000 wo... 0.817804 \n", + "1 Adolescent fertility rate (births per 1,000 wo... 0.759333 \n", + "2 Adolescent fertility rate (births per 1,000 wo... 0.936963 \n", + "3 Adolescent fertility rate (births per 1,000 wo... 0.786708 \n", + "4 Adolescent fertility rate (births per 1,000 wo... 0.924056 \n", + "... ... ... \n", + "6640 Completeness of birth registration (%) 0.839228 \n", + "6641 Completeness of birth registration (%) 0.792184 \n", + "6642 Completeness of birth registration (%) 0.840648 \n", + "6643 Completeness of birth registration (%) 0.963636 \n", + "6644 Completeness of birth registration (%) 0.789474 \n", + "\n", + " Behaviour Country Moved Type Continent \\\n", + "0 Negative DEU 1 Does not apply Europe \n", + "1 Negative SWE 3 Does not apply Europe \n", + "2 Negative GBR 13 Does not apply Europe \n", + "3 Negative HRV 8 Does not apply Europe \n", + "4 Negative POL 21 Does not apply Europe \n", + "... ... ... ... ... ... \n", + "6640 Positive PER 5 Does not apply Latam \n", + "6641 Negative VEN 1 Does not apply Latam \n", + "6642 Positive COL 2 Does not apply Latam \n", + "6643 Positive PAN 21 Does not apply Latam \n", + "6644 Positive CRI 13 Does not apply Latam \n", + "\n", + " Number of times repeated_x Group Level \\\n", + "0 22 Demography secondary \n", + "1 22 Demography secondary \n", + "2 22 Demography secondary \n", + "3 22 Demography secondary \n", + "4 22 Demography secondary \n", + "... ... ... ... \n", + "6640 11 Demoraphy secondary \n", + "6641 11 Demoraphy secondary \n", + "6642 11 Demoraphy secondary \n", + "6643 11 Demoraphy secondary \n", + "6644 11 Demoraphy secondary \n", + "\n", + " Number of times repeated_y \n", + "0 40 \n", + "1 40 \n", + "2 40 \n", + "3 40 \n", + "4 40 \n", + "... ... \n", + "6640 21 \n", + "6641 21 \n", + "6642 21 \n", + "6643 21 \n", + "6644 21 \n", + "\n", + "[6645 rows x 11 columns]" + ] + }, + "execution_count": 85, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "final=pd.DataFrame()\n", + "for i in range(0,len(clist)):\n", + " dat=quarterfinal.loc[quarterfinal.loc[:, 'Country'] == clist[i]]\n", + " ids=dat.groupby('Indicator')['R^2 Spearman'].transform(max)==dat['R^2 Spearman']\n", + " dat[ids]\n", + " semifinal=pd.DataFrame(dat[ids])\n", + " final=pd.concat((final,semifinal), axis=0)\n", + "final_indicators_list=categories.Indicator.unique()\n", + "final['Continent']=final['Country'].map(all_countries)\n", + "final=final.loc[final.loc[:, 'Indicator'].isin(np.array(final_indicators_list))]\n", + "final=pd.merge(final,categories, left_on='Indicator',right_on='Indicator')\n", + "\n", + "columnssf=final.Indicator.to_list()\n", + "columnsf=np.unique(columnssf)\n", + "powerind=[]\n", + "for i in range(0, len(columnsf)):\n", + " powerind.append(columnssf.count(columnsf[i]))\n", + "final_indicators = pd.DataFrame(list(zip(columnsf,powerind)), columns = ['Indicator','Number of times repeated'])\n", + "\n", + "final=pd.merge(final,final_indicators, left_on='Indicator',right_on='Indicator')\n", + "final" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The former table final collects the indicators that have shown a high correlation with the GDP (according to the criteria established, see above). It provides detail of each case specifying the numerical value of the correlation (R^2 Spearman); the alignment with the GDP (Behaviour); the country and continent where it applies; if there is any temporal displacement; the group of interest it belongs to and the number of times repeated.\n", + "Moreover, if we focus over the column of \"Number of times repeated\". It reflects the number of times a high correlation of each indicator is repeated over the whole sample (aggregating all countries).\n", + "\n", + "In addition we have used the `itables` library to if wanted any one can search through the table as they wish." + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": "/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */\n!function(e,t){\"use strict\";\"object\"==typeof module&&\"object\"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error(\"jQuery requires a window with a document\");return t(e)}:t(e)}(\"undefined\"!=typeof window?window:this,function(C,e){\"use strict\";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return 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IndicatorR^2 SpearmanBehaviourCountryMovedTypeContinentNumber of times repeated_xGroupLevelNumber of times repeated_y
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NoneIndicatorR^2 SpearmanBehaviourCountryMovedTypeContinentNumber of times repeated_xGroupLevelNumber of times repeated_y
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\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from itables import init_notebook_mode,show\n", + "\n", + "init_notebook_mode(all_interactive=False)\n", + "\n", + "import itables.options as opt\n", + "\n", + "show(pd.DataFrame(final),dom=\"ftpr\")\n", + "\n", + "opt.lengthMenu=[5,10,20,50,100,200]\n", + "\n", + "opt.classes=[\"display\",\"nowrap\"]\n", + "\n", + "show(final,columnDefs=[{\"className\": \"dt-left\", \"targets\": \"_all\"}],column_filters=\"header\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, there is a recount by the different columns, *Behaviour*, *Relationship* and *Time moved*." + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Type of behaviourNumber of times repeated
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0Negative1922
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subscriptions (per 100 people)/Latam/BRA", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam/BRA", + "GNI (current US$)/Latam/BRA", + "Gross value added at basic prices (GVA) (current US$)/Latam/BRA", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/BRA", + "Industry (including construction), value added (current US$)/Latam/BRA", + "Number of deaths ages 5-9 years/Latam/BRA", + "Number of infant deaths/Latam/BRA", + "Population in largest city/Latam/BRA", + "Prevalence of current tobacco use (% of adults)/Latam/BRA", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam/BRA", + "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/BRA", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/BRA", + "Suicide mortality rate (per 100,000 population)/Latam/BRA", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/BRA", + "Access to electricity (% of population)/Latam/CHL", + "CO2 emissions (kg per PPP $ of GDP)/Latam/CHL", + "Consumer price index (2010 = 100)/Latam/CHL", + "Current health expenditure (% of GDP)/Latam/CHL", + "Current health expenditure per capita (current US$)/Latam/CHL", + "Export value index (2000 = 100)/Latam/CHL", + "Fixed broadband subscriptions (per 100 people)/Latam/CHL", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam/CHL", + "GNI (current US$)/Latam/CHL", + "Gross value added at basic prices (GVA) (current US$)/Latam/CHL", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/CHL", + "Industry (including construction), value added (current US$)/Latam/CHL", + "Number of deaths ages 5-9 years/Latam/CHL", + "Number of infant deaths/Latam/CHL", + "Population in largest city/Latam/CHL", + "Prevalence of current tobacco use (% of adults)/Latam/CHL", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam/CHL", + "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/CHL", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/CHL", + "Suicide mortality rate (per 100,000 population)/Latam/CHL", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/CHL", + "Access to electricity (% of population)/Pair/CHN", + "Agricultural land (% of land area)/Pair/CHN", + "CO2 emissions (kg per PPP $ of GDP)/Pair/CHN", + "Consumer price index (2010 = 100)/Pair/CHN", + "Current health expenditure (% of GDP)/Pair/CHN", + "Current health expenditure per capita (current US$)/Pair/CHN", + "Employment in industry (% of total employment) (modeled ILO estimate)/Pair/CHN", + "Export value index (2000 = 100)/Pair/CHN", + "Fixed broadband subscriptions (per 100 people)/Pair/CHN", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Pair/CHN", + "GNI (current US$)/Pair/CHN", + "Households and NPISHs Final consumption expenditure (current US$)/Pair/CHN", + "Industry (including construction), value added (current US$)/Pair/CHN", + "Number of deaths ages 5-9 years/Pair/CHN", + "Number of infant deaths/Pair/CHN", + "Population in largest city/Pair/CHN", + "Prevalence of current tobacco use (% of adults)/Pair/CHN", + "Ratio of female to male labor force participation rate (%) (national estimate)/Pair/CHN", + "Renewable internal freshwater resources per capita (cubic meters)/Pair/CHN", + "Suicide mortality rate (per 100,000 population)/Pair/CHN", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Pair/CHN", + "Access to electricity (% of population)/South Africa/CMR", + "Agricultural land (% of land area)/South Africa/CMR", + "Consumer price index (2010 = 100)/South Africa/CMR", + "Current health expenditure (% of GDP)/South Africa/CMR", + "Current health expenditure per capita (current US$)/South Africa/CMR", + "Employment in industry (% of total employment) (modeled ILO estimate)/South Africa/CMR", + "Fixed broadband subscriptions (per 100 people)/South Africa/CMR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/South Africa/CMR", + "GNI (current US$)/South Africa/CMR", + "Gross value added at basic prices (GVA) (current US$)/South Africa/CMR", + "Households and NPISHs Final consumption expenditure (current US$)/South Africa/CMR", + "Industry (including construction), value added (current US$)/South Africa/CMR", + "Number of deaths ages 5-9 years/South Africa/CMR", + "Number of infant deaths/South Africa/CMR", + "Population in largest city/South Africa/CMR", + "Prevalence of current tobacco use (% of adults)/South Africa/CMR", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/CMR", + "Access to electricity (% of population)/Latam/COL", + "CO2 emissions (kg per PPP $ of GDP)/Latam/COL", + "Consumer price index (2010 = 100)/Latam/COL", + "Current health expenditure (% of GDP)/Latam/COL", + "Current health expenditure per capita (current US$)/Latam/COL", + "Export value index (2000 = 100)/Latam/COL", + "Fixed broadband subscriptions (per 100 people)/Latam/COL", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam/COL", + "GNI (current US$)/Latam/COL", + "Gross value added at basic prices (GVA) (current US$)/Latam/COL", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/COL", + "Industry (including construction), value added (current US$)/Latam/COL", + "Number of deaths ages 5-9 years/Latam/COL", + "Number of infant deaths/Latam/COL", + "Population in largest city/Latam/COL", + "Prevalence of current tobacco use (% of adults)/Latam/COL", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/COL", + "Suicide mortality rate (per 100,000 population)/Latam/COL", + "Access to electricity (% of population)/Latam/CRI", + "Agricultural land (% of land area)/Latam/CRI", + "CO2 emissions (kg per PPP $ of GDP)/Latam/CRI", + "Consumer price index (2010 = 100)/Latam/CRI", + "Current health expenditure (% of GDP)/Latam/CRI", + "Current health expenditure per capita (current US$)/Latam/CRI", + "Employment in industry (% of total employment) (modeled ILO estimate)/Latam/CRI", + "Export value index (2000 = 100)/Latam/CRI", + "Fixed broadband subscriptions (per 100 people)/Latam/CRI", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam/CRI", + "GNI (current US$)/Latam/CRI", + "Gross value added at basic prices (GVA) (current US$)/Latam/CRI", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/CRI", + "Industry (including construction), value added (current US$)/Latam/CRI", + "Number of deaths ages 5-9 years/Latam/CRI", + "Number of infant deaths/Latam/CRI", + "Population in largest city/Latam/CRI", + "Prevalence of current tobacco use (% of adults)/Latam/CRI", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam/CRI", + "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/CRI", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/CRI", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/CRI", + "Agricultural land (% of land area)/Europe/DEU", + "CO2 emissions (kg per PPP $ of GDP)/Europe/DEU", + "Consumer price index (2010 = 100)/Europe/DEU", + "Current health expenditure per capita (current US$)/Europe/DEU", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/DEU", + "Export value index (2000 = 100)/Europe/DEU", + "Fixed broadband subscriptions (per 100 people)/Europe/DEU", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/DEU", + "GNI (current US$)/Europe/DEU", + "Gross value added at basic prices (GVA) (current US$)/Europe/DEU", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/DEU", + "Industry (including construction), value added (current US$)/Europe/DEU", + "Number of deaths ages 5-9 years/Europe/DEU", + "Prevalence of current tobacco use (% of adults)/Europe/DEU", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/DEU", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/DEU", + "Agricultural land (% of land area)/North Africa/DZA", + "Consumer price index (2010 = 100)/North Africa/DZA", + "Current health expenditure per capita (current US$)/North Africa/DZA", + "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa/DZA", + "Export value index (2000 = 100)/North Africa/DZA", + "Fixed broadband subscriptions (per 100 people)/North Africa/DZA", + "GNI (current US$)/North Africa/DZA", + "Gross value added at basic prices (GVA) (current US$)/North Africa/DZA", + "Households and NPISHs Final consumption expenditure (current US$)/North Africa/DZA", + "Industry (including construction), value added (current US$)/North Africa/DZA", + "Number of deaths ages 5-9 years/North Africa/DZA", + "Population in largest city/North Africa/DZA", + "Prevalence of current tobacco use (% of adults)/North Africa/DZA", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/North Africa/DZA", + "Ratio of female to male labor force participation rate (%) (national estimate)/North Africa/DZA", + "Renewable internal freshwater resources per capita (cubic meters)/North Africa/DZA", + "Suicide mortality rate (per 100,000 population)/North Africa/DZA", + "Access to electricity (% of population)/North Africa/EGY", + "Agricultural land (% of land area)/North Africa/EGY", + "CO2 emissions (kg per PPP $ of GDP)/North Africa/EGY", + "Consumer price index (2010 = 100)/North Africa/EGY", + "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa/EGY", + "Fixed broadband subscriptions (per 100 people)/North Africa/EGY", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa/EGY", + "GNI (current US$)/North Africa/EGY", + "Gross value added at basic prices (GVA) (current US$)/North Africa/EGY", + "Households and NPISHs Final consumption expenditure (current US$)/North Africa/EGY", + "Industry (including construction), value added (current US$)/North Africa/EGY", + "Number of deaths ages 5-9 years/North Africa/EGY", + "Number of infant deaths/North Africa/EGY", + "Population in largest city/North Africa/EGY", + "Renewable internal freshwater resources per capita (cubic meters)/North Africa/EGY", + "Suicide mortality rate (per 100,000 population)/North Africa/EGY", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/North Africa/EGY", + "Agricultural land (% of land area)/Europe/ESP", + "CO2 emissions (kg per PPP $ of GDP)/Europe/ESP", + "Consumer price index (2010 = 100)/Europe/ESP", + "Current health expenditure (% of GDP)/Europe/ESP", + "Current health expenditure per capita (current US$)/Europe/ESP", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/ESP", + "Export value index (2000 = 100)/Europe/ESP", + "Fixed broadband subscriptions (per 100 people)/Europe/ESP", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/ESP", + "GNI (current US$)/Europe/ESP", + "Gross value added at basic prices (GVA) (current US$)/Europe/ESP", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/ESP", + "Industry (including construction), value added (current US$)/Europe/ESP", + "Number of deaths ages 5-9 years/Europe/ESP", + "Population in largest city/Europe/ESP", + "Prevalence of current tobacco use (% of adults)/Europe/ESP", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/ESP", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/ESP", + "Renewable internal freshwater resources per capita (cubic meters)/Europe/ESP", + "Agricultural land (% of land area)/Europe/FRA", + "CO2 emissions (kg per PPP $ of GDP)/Europe/FRA", + "Consumer price index (2010 = 100)/Europe/FRA", + "Current health expenditure (% of GDP)/Europe/FRA", + "Current health expenditure per capita (current US$)/Europe/FRA", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/FRA", + "Export value index (2000 = 100)/Europe/FRA", + "Fixed broadband subscriptions (per 100 people)/Europe/FRA", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/FRA", + "GNI (current US$)/Europe/FRA", + "Gross value added at basic prices (GVA) (current US$)/Europe/FRA", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/FRA", + "Industry (including construction), value added (current US$)/Europe/FRA", + "Number of deaths ages 5-9 years/Europe/FRA", + "Number of infant deaths/Europe/FRA", + "Population in largest city/Europe/FRA", + "Prevalence of current tobacco use (% of adults)/Europe/FRA", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/FRA", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/FRA", + "Renewable internal freshwater resources per capita (cubic meters)/Europe/FRA", + "CO2 emissions (kg per PPP $ of GDP)/Europe/GBR", + "Consumer price index (2010 = 100)/Europe/GBR", + "Current health expenditure (% of GDP)/Europe/GBR", + "Current health expenditure per capita (current US$)/Europe/GBR", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/GBR", + "Export value index (2000 = 100)/Europe/GBR", + "Fixed broadband subscriptions (per 100 people)/Europe/GBR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/GBR", + "GNI (current US$)/Europe/GBR", + "Gross value added at basic prices (GVA) (current US$)/Europe/GBR", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/GBR", + "Industry (including construction), value added (current US$)/Europe/GBR", + "Number of deaths ages 5-9 years/Europe/GBR", + "Number of infant deaths/Europe/GBR", + "Population in largest city/Europe/GBR", + "Prevalence of current tobacco use (% of adults)/Europe/GBR", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/GBR", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/GBR", + "Renewable internal freshwater resources per capita (cubic meters)/Europe/GBR", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe/GBR", + "Access to electricity (% of population)/South Africa/GHA", + "Consumer price index (2010 = 100)/South Africa/GHA", + "Current health expenditure per capita (current US$)/South Africa/GHA", + "Export value index (2000 = 100)/South Africa/GHA", + "Fixed broadband subscriptions (per 100 people)/South Africa/GHA", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/South Africa/GHA", + "GNI (current US$)/South Africa/GHA", + "Gross value added at basic prices (GVA) (current US$)/South Africa/GHA", + "Households and NPISHs Final consumption expenditure (current US$)/South Africa/GHA", + "Industry (including construction), value added (current US$)/South Africa/GHA", + "Number of deaths ages 5-9 years/South Africa/GHA", + "Number of infant deaths/South Africa/GHA", + "Population in largest city/South Africa/GHA", + "Prevalence of current tobacco use (% of adults)/South Africa/GHA", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/South Africa/GHA", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/GHA", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/South Africa/GHA", + "Agricultural land (% of land area)/Europe/GRC", + "CO2 emissions (kg per PPP $ of GDP)/Europe/GRC", + "Consumer price index (2010 = 100)/Europe/GRC", + "Current health expenditure (% of GDP)/Europe/GRC", + "Current health expenditure per capita (current US$)/Europe/GRC", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/GRC", + "Fixed broadband subscriptions (per 100 people)/Europe/GRC", + "Gross value added at basic prices (GVA) (current US$)/Europe/GRC", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/GRC", + "Industry (including construction), value added (current US$)/Europe/GRC", + "Number of deaths ages 5-9 years/Europe/GRC", + "Number of infant deaths/Europe/GRC", + "Population in largest city/Europe/GRC", + "Prevalence of current tobacco use (% of adults)/Europe/GRC", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Europe/GRC", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/GRC", + "CO2 emissions (kg per PPP $ of GDP)/Europe/HRV", + "Current health expenditure per capita (current US$)/Europe/HRV", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/HRV", + "Fixed broadband subscriptions (per 100 people)/Europe/HRV", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/HRV", + "GNI (current US$)/Europe/HRV", + "Gross value added at basic prices (GVA) (current US$)/Europe/HRV", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/HRV", + "Industry (including construction), value added (current US$)/Europe/HRV", + "Number of deaths ages 5-9 years/Europe/HRV", + "Number of infant deaths/Europe/HRV", + "Population in largest city/Europe/HRV", + "Prevalence of current tobacco use (% of adults)/Europe/HRV", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe/HRV", + "Access to electricity (% of population)/Asia/IDN", + "Agricultural land (% of land area)/Asia/IDN", + "CO2 emissions (kg per PPP $ of GDP)/Asia/IDN", + "Consumer price index (2010 = 100)/Asia/IDN", + "Current health expenditure (% of GDP)/Asia/IDN", + "Current health expenditure per capita (current US$)/Asia/IDN", + "Employment in industry (% of total employment) (modeled ILO estimate)/Asia/IDN", + "Export value index (2000 = 100)/Asia/IDN", + "Fixed broadband subscriptions (per 100 people)/Asia/IDN", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/IDN", + "GNI (current US$)/Asia/IDN", + "Gross value added at basic prices (GVA) (current US$)/Asia/IDN", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/IDN", + "Industry (including construction), value added (current US$)/Asia/IDN", + "Number of deaths ages 5-9 years/Asia/IDN", + "Number of infant deaths/Asia/IDN", + "Population in largest city/Asia/IDN", + "Prevalence of current tobacco use (% of adults)/Asia/IDN", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/IDN", + "Suicide mortality rate (per 100,000 population)/Asia/IDN", + "Access to electricity (% of population)/Asia/IND", + "Agricultural land (% of land area)/Asia/IND", + "CO2 emissions (kg per PPP $ of GDP)/Asia/IND", + "Consumer price index (2010 = 100)/Asia/IND", + "Current health expenditure (% of GDP)/Asia/IND", + "Current health expenditure per capita (current US$)/Asia/IND", + "Employment in industry (% of total employment) (modeled ILO estimate)/Asia/IND", + "Export value index (2000 = 100)/Asia/IND", + "Fixed broadband subscriptions (per 100 people)/Asia/IND", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/IND", + "GNI (current US$)/Asia/IND", + "Gross value added at basic prices (GVA) (current US$)/Asia/IND", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/IND", + "Industry (including construction), value added (current US$)/Asia/IND", + "Number of deaths ages 5-9 years/Asia/IND", + "Number of infant deaths/Asia/IND", + "Population in largest city/Asia/IND", + "Prevalence of current tobacco use (% of adults)/Asia/IND", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Asia/IND", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/IND", + "Suicide mortality rate (per 100,000 population)/Asia/IND", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Asia/IND", + "Access to electricity (% of population)/Persian Gulf/IRQ", + "Export value index (2000 = 100)/Persian Gulf/IRQ", + "GNI (current US$)/Persian Gulf/IRQ", + "Gross value added at basic prices (GVA) (current US$)/Persian Gulf/IRQ", + "Households and NPISHs Final consumption expenditure (current US$)/Persian Gulf/IRQ", + "Industry (including construction), value added (current US$)/Persian Gulf/IRQ", + "Number of infant deaths/Persian Gulf/IRQ", + "Prevalence of current tobacco use (% of adults)/Persian Gulf/IRQ", + "Agricultural land (% of land area)/North Africa/ISR", + "CO2 emissions (kg per PPP $ of GDP)/North Africa/ISR", + "Consumer price index (2010 = 100)/North Africa/ISR", + "Current health expenditure per capita (current US$)/North Africa/ISR", + "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa/ISR", + "Fixed broadband subscriptions (per 100 people)/North Africa/ISR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa/ISR", + "GNI (current US$)/North Africa/ISR", + "Gross value added at basic prices (GVA) (current US$)/North Africa/ISR", + "Households and NPISHs Final consumption expenditure (current US$)/North Africa/ISR", + "Industry (including construction), value added (current US$)/North Africa/ISR", + "Number of deaths ages 5-9 years/North Africa/ISR", + "Number of infant deaths/North Africa/ISR", + "Population in largest city/North Africa/ISR", + "Prevalence of current tobacco use (% of adults)/North Africa/ISR", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/North Africa/ISR", + "Ratio of female to male labor force participation rate (%) (national estimate)/North Africa/ISR", + "Renewable internal freshwater resources per capita (cubic meters)/North Africa/ISR", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/North Africa/ISR", + "Agricultural land (% of land area)/Asia/KOR", + "CO2 emissions (kg per PPP $ of GDP)/Asia/KOR", + "Consumer price index (2010 = 100)/Asia/KOR", + "Current health expenditure (% of GDP)/Asia/KOR", + "Current health expenditure per capita (current US$)/Asia/KOR", + "Employment in industry (% of total employment) (modeled ILO estimate)/Asia/KOR", + "Export value index (2000 = 100)/Asia/KOR", + "Fixed broadband subscriptions (per 100 people)/Asia/KOR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/KOR", + "GNI (current US$)/Asia/KOR", + "Gross value added at basic prices (GVA) (current US$)/Asia/KOR", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/KOR", + "Industry (including construction), value added (current US$)/Asia/KOR", + "Number of deaths ages 5-9 years/Asia/KOR", + "Number of infant deaths/Asia/KOR", + "Prevalence of current tobacco use (% of adults)/Asia/KOR", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Asia/KOR", + "Ratio of female to male labor force participation rate (%) (national estimate)/Asia/KOR", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/KOR", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Asia/KOR", + "Access to electricity (% of population)/South Africa/LBR", + "Agricultural land (% of land area)/South Africa/LBR", + "Consumer price index (2010 = 100)/South Africa/LBR", + "Current health expenditure per capita (current US$)/South Africa/LBR", + "Fixed broadband subscriptions (per 100 people)/South Africa/LBR", + "GNI (current US$)/South Africa/LBR", + "Industry (including construction), value added (current US$)/South Africa/LBR", + "Number of infant deaths/South Africa/LBR", + "Prevalence of current tobacco use (% of adults)/South Africa/LBR", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/LBR", + "Access to electricity (% of population)/North Africa/MAR", + "CO2 emissions (kg per PPP $ of GDP)/North Africa/MAR", + "Consumer price index (2010 = 100)/North Africa/MAR", + "Current health expenditure per capita (current US$)/North Africa/MAR", + "Employment in industry (% of total employment) (modeled ILO estimate)/North Africa/MAR", + "Export value index (2000 = 100)/North Africa/MAR", + "Fixed broadband subscriptions (per 100 people)/North Africa/MAR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa/MAR", + "GNI (current US$)/North Africa/MAR", + "Gross value added at basic prices (GVA) (current US$)/North Africa/MAR", + "Households and NPISHs Final consumption expenditure (current US$)/North Africa/MAR", + "Industry (including construction), value added (current US$)/North Africa/MAR", + "Number of deaths ages 5-9 years/North Africa/MAR", + "Number of infant deaths/North Africa/MAR", + "Population in largest city/North Africa/MAR", + "Prevalence of current tobacco use (% of adults)/North Africa/MAR", + "Renewable internal freshwater resources per capita (cubic meters)/North Africa/MAR", + "Suicide mortality rate (per 100,000 population)/North Africa/MAR", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/North Africa/MAR", + "Access to electricity (% of population)/Latam/MEX", + "CO2 emissions (kg per PPP $ of GDP)/Latam/MEX", + "Consumer price index (2010 = 100)/Latam/MEX", + "Current health expenditure per capita (current US$)/Latam/MEX", + "Export value index (2000 = 100)/Latam/MEX", + "Fixed broadband subscriptions (per 100 people)/Latam/MEX", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam/MEX", + "GNI (current US$)/Latam/MEX", + "Gross value added at basic prices (GVA) (current US$)/Latam/MEX", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/MEX", + "Industry (including construction), value added (current US$)/Latam/MEX", + "Number of deaths ages 5-9 years/Latam/MEX", + "Number of infant deaths/Latam/MEX", + "Population in largest city/Latam/MEX", + "Prevalence of current tobacco use (% of adults)/Latam/MEX", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam/MEX", + "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/MEX", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/MEX", + "Suicide mortality rate (per 100,000 population)/Latam/MEX", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/MEX", + "Access to electricity (% of population)/South Africa/MOZ", + "Agricultural land (% of land area)/South Africa/MOZ", + "Consumer price index (2010 = 100)/South Africa/MOZ", + "Current health expenditure (% of GDP)/South Africa/MOZ", + "Current health expenditure per capita (current US$)/South Africa/MOZ", + "Employment in industry (% of total employment) (modeled ILO estimate)/South Africa/MOZ", + "Export value index (2000 = 100)/South Africa/MOZ", + "Fixed broadband subscriptions (per 100 people)/South Africa/MOZ", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/South Africa/MOZ", + "GNI (current US$)/South Africa/MOZ", + "Gross value added at basic prices (GVA) (current US$)/South Africa/MOZ", + "Households and NPISHs Final consumption expenditure (current US$)/South Africa/MOZ", + "Industry (including construction), value added (current US$)/South Africa/MOZ", + "Number of deaths ages 5-9 years/South Africa/MOZ", + "Number of infant deaths/South 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basic prices (GVA) (current US$)/South Africa/NGA", + "Households and NPISHs Final consumption expenditure (current US$)/South Africa/NGA", + "Industry (including construction), value added (current US$)/South Africa/NGA", + "Number of deaths ages 5-9 years/South Africa/NGA", + "Population in largest city/South Africa/NGA", + "Prevalence of current tobacco use (% of adults)/South Africa/NGA", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/South Africa/NGA", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/NGA", + "Suicide mortality rate (per 100,000 population)/South Africa/NGA", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/South Africa/NGA", + "Agricultural land (% of land area)/Europe/NLD", + "CO2 emissions (kg per PPP $ of GDP)/Europe/NLD", + "Consumer price index (2010 = 100)/Europe/NLD", + "Current health expenditure (% of GDP)/Europe/NLD", + "Current 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city/Persian Gulf/OMN", + "Prevalence of current tobacco use (% of adults)/Persian Gulf/OMN", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Persian Gulf/OMN", + "Ratio of female to male labor force participation rate (%) (national estimate)/Persian Gulf/OMN", + "Renewable internal freshwater resources per capita (cubic meters)/Persian Gulf/OMN", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Persian Gulf/OMN", + "Access to electricity (% of population)/Latam/PAN", + "Agricultural land (% of land area)/Latam/PAN", + "CO2 emissions (kg per PPP $ of GDP)/Latam/PAN", + "Consumer price index (2010 = 100)/Latam/PAN", + "Current health expenditure per capita (current US$)/Latam/PAN", + "Export value index (2000 = 100)/Latam/PAN", + "Fixed broadband subscriptions (per 100 people)/Latam/PAN", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Latam/PAN", + "GNI (current US$)/Latam/PAN", + "Gross value added at basic prices (GVA) (current US$)/Latam/PAN", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/PAN", + "Industry (including construction), value added (current US$)/Latam/PAN", + "Number of deaths ages 5-9 years/Latam/PAN", + "Number of infant deaths/Latam/PAN", + "Population in largest city/Latam/PAN", + "Prevalence of current tobacco use (% of adults)/Latam/PAN", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Latam/PAN", + "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/PAN", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/PAN", + "Suicide mortality rate (per 100,000 population)/Latam/PAN", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/PAN", + "Access to electricity (% of population)/Latam/PER", + "CO2 emissions (kg per PPP $ of GDP)/Latam/PER", + "Consumer price index (2010 = 100)/Latam/PER", + "Current health expenditure (% of GDP)/Latam/PER", + "Current health expenditure per capita (current US$)/Latam/PER", + "Export value index (2000 = 100)/Latam/PER", + "Fixed broadband subscriptions (per 100 people)/Latam/PER", + "GNI (current US$)/Latam/PER", + "Gross value added at basic prices (GVA) (current US$)/Latam/PER", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/PER", + "Industry (including construction), value added (current US$)/Latam/PER", + "Number of deaths ages 5-9 years/Latam/PER", + "Number of infant deaths/Latam/PER", + "Population in largest city/Latam/PER", + "Prevalence of current tobacco use (% of adults)/Latam/PER", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/PER", + "Access to electricity (% of population)/Asia/PHL", + "Agricultural land (% of land area)/Asia/PHL", + "Consumer price index (2010 = 100)/Asia/PHL", + "Current health expenditure per capita (current US$)/Asia/PHL", + "Export value index (2000 = 100)/Asia/PHL", + "Fixed broadband subscriptions (per 100 people)/Asia/PHL", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/PHL", + "GNI (current US$)/Asia/PHL", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/PHL", + "Industry (including construction), value added (current US$)/Asia/PHL", + "Number of infant deaths/Asia/PHL", + "Population in largest city/Asia/PHL", + "Prevalence of current tobacco use (% of adults)/Asia/PHL", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/PHL", + "Suicide mortality rate (per 100,000 population)/Asia/PHL", + "Agricultural land (% of land area)/Europe/POL", + "CO2 emissions (kg per PPP $ of GDP)/Europe/POL", + "Consumer price index (2010 = 100)/Europe/POL", + "Current health expenditure (% of GDP)/Europe/POL", + "Current health expenditure per capita (current US$)/Europe/POL", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/POL", + "Export value index (2000 = 100)/Europe/POL", + "Fixed broadband subscriptions (per 100 people)/Europe/POL", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/POL", + "GNI (current US$)/Europe/POL", + "Gross value added at basic prices (GVA) (current US$)/Europe/POL", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/POL", + "Industry (including construction), value added (current US$)/Europe/POL", + "Number of deaths ages 5-9 years/Europe/POL", + "Number of infant deaths/Europe/POL", + "Population in largest city/Europe/POL", + "Prevalence of current tobacco use (% of adults)/Europe/POL", + "Ratio of female to male labor force participation rate (%) (national estimate)/Europe/POL", + "Renewable internal freshwater resources per capita (cubic meters)/Europe/POL", + "Suicide mortality rate (per 100,000 population)/Europe/POL", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Europe/POL", + "Consumer price index (2010 = 100)/Persian Gulf/QAT", + "Current health expenditure per capita (current US$)/Persian Gulf/QAT", + "Export value index (2000 = 100)/Persian Gulf/QAT", + "Fixed broadband subscriptions (per 100 people)/Persian Gulf/QAT", + "GNI (current US$)/Persian Gulf/QAT", + "Households and NPISHs Final consumption expenditure (current US$)/Persian Gulf/QAT", + "Number of deaths ages 5-9 years/Persian Gulf/QAT", + "Population in largest city/Persian Gulf/QAT", + "Prevalence of current tobacco use (% of adults)/Persian Gulf/QAT", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Persian Gulf/QAT", + "Ratio of female to male labor force participation rate (%) (national estimate)/Persian Gulf/QAT", + "Renewable internal freshwater resources per capita (cubic meters)/Persian Gulf/QAT", + "Suicide mortality rate (per 100,000 population)/Persian Gulf/QAT", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Persian Gulf/QAT", + "Consumer price index (2010 = 100)/Persian Gulf/SAU", + "Current health expenditure per capita (current US$)/Persian Gulf/SAU", + "Employment in industry (% of total employment) (modeled ILO estimate)/Persian Gulf/SAU", + "Export value index (2000 = 100)/Persian Gulf/SAU", + "Fixed broadband subscriptions (per 100 people)/Persian Gulf/SAU", + "GNI (current US$)/Persian Gulf/SAU", + "Gross value added at basic prices (GVA) (current US$)/Persian Gulf/SAU", + "Households and NPISHs Final consumption expenditure (current US$)/Persian Gulf/SAU", + "Industry (including construction), value added (current US$)/Persian Gulf/SAU", + "Number of deaths ages 5-9 years/Persian Gulf/SAU", + "Number of infant deaths/Persian Gulf/SAU", + "Population in largest city/Persian Gulf/SAU", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Persian Gulf/SAU", + "Ratio of female to male labor force 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Africa/SEN", + "Population in largest city/South Africa/SEN", + "Prevalence of current tobacco use (% of adults)/South Africa/SEN", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/South Africa/SEN", + "Ratio of female to male labor force participation rate (%) (national estimate)/South Africa/SEN", + "Renewable internal freshwater resources per capita (cubic meters)/South Africa/SEN", + "Suicide mortality rate (per 100,000 population)/South Africa/SEN", + "Agricultural land (% of land area)/Europe/SWE", + "CO2 emissions (kg per PPP $ of GDP)/Europe/SWE", + "Consumer price index (2010 = 100)/Europe/SWE", + "Current health expenditure (% of GDP)/Europe/SWE", + "Current health expenditure per capita (current US$)/Europe/SWE", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe/SWE", + "Export value index (2000 = 100)/Europe/SWE", + "Fixed broadband subscriptions (per 100 people)/Europe/SWE", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe/SWE", + "GNI (current US$)/Europe/SWE", + "Gross value added at basic prices (GVA) (current US$)/Europe/SWE", + "Households and NPISHs Final consumption expenditure (current US$)/Europe/SWE", + "Industry (including construction), value added (current US$)/Europe/SWE", + "Number of infant deaths/Europe/SWE", + "Prevalence of current tobacco use (% of adults)/Europe/SWE", + "Access to electricity (% of population)/Asia/THA", + "CO2 emissions (kg per PPP $ of GDP)/Asia/THA", + "Consumer price index (2010 = 100)/Asia/THA", + "Current health expenditure (% of GDP)/Asia/THA", + "Current health expenditure per capita (current US$)/Asia/THA", + "Export value index (2000 = 100)/Asia/THA", + "Fixed broadband subscriptions (per 100 people)/Asia/THA", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/THA", + "GNI (current US$)/Asia/THA", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/THA", + "Industry (including construction), value added (current US$)/Asia/THA", + "Number of deaths ages 5-9 years/Asia/THA", + "Number of infant deaths/Asia/THA", + "Population in largest city/Asia/THA", + "Prevalence of current tobacco use (% of adults)/Asia/THA", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/THA", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Asia/THA", + "Agricultural land (% of land area)/North Africa/TUR", + "CO2 emissions (kg per PPP $ of GDP)/North Africa/TUR", + "Consumer price index (2010 = 100)/North Africa/TUR", + "Export value index (2000 = 100)/North Africa/TUR", + "Fixed broadband subscriptions (per 100 people)/North Africa/TUR", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/North Africa/TUR", + "GNI (current US$)/North Africa/TUR", + "Gross value added at basic prices (GVA) (current US$)/North Africa/TUR", + "Households and NPISHs Final consumption expenditure (current US$)/North Africa/TUR", + "Industry (including construction), value added (current US$)/North Africa/TUR", + "Number of deaths ages 5-9 years/North Africa/TUR", + "Number of infant deaths/North Africa/TUR", + "Population in largest city/North Africa/TUR", + "Prevalence of current tobacco use (% of adults)/North Africa/TUR", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/North Africa/TUR", + "Ratio of female to male labor force participation rate (%) (national estimate)/North Africa/TUR", + "Renewable internal freshwater resources per capita (cubic meters)/North Africa/TUR", + "Suicide mortality rate (per 100,000 population)/North Africa/TUR", + "Agricultural land (% of land area)/Pair/USA", + "CO2 emissions (kg per PPP $ of GDP)/Pair/USA", + "Consumer price index (2010 = 100)/Pair/USA", + "Current health expenditure (% of GDP)/Pair/USA", + "Current health expenditure per capita (current US$)/Pair/USA", + "Employment in industry (% of total employment) (modeled ILO estimate)/Pair/USA", + "Export value index (2000 = 100)/Pair/USA", + "Fixed broadband subscriptions (per 100 people)/Pair/USA", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Pair/USA", + "GNI (current US$)/Pair/USA", + "Gross value added at basic prices (GVA) (current US$)/Pair/USA", + "Households and NPISHs Final consumption expenditure (current US$)/Pair/USA", + "Industry (including construction), value added (current US$)/Pair/USA", + "Number of deaths ages 5-9 years/Pair/USA", + "Number of infant deaths/Pair/USA", + "Population in largest city/Pair/USA", + "Prevalence of current tobacco use (% of adults)/Pair/USA", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Pair/USA", + "Ratio of female to male labor force participation rate (%) (national estimate)/Pair/USA", + "Renewable internal freshwater resources per capita (cubic meters)/Pair/USA", + "Suicide mortality rate (per 100,000 population)/Pair/USA", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Pair/USA", + "Agricultural land (% of land area)/Latam/VEN", + "Consumer price index (2010 = 100)/Latam/VEN", + "Current health expenditure per capita (current US$)/Latam/VEN", + "Employment in industry (% of total employment) (modeled ILO estimate)/Latam/VEN", + "Export value index (2000 = 100)/Latam/VEN", + "Fixed broadband subscriptions (per 100 people)/Latam/VEN", + "GNI (current US$)/Latam/VEN", + "Gross value added at basic prices (GVA) (current US$)/Latam/VEN", + "Households and NPISHs Final consumption expenditure (current US$)/Latam/VEN", + "Industry (including construction), value added (current US$)/Latam/VEN", + "Population in largest city/Latam/VEN", + "Ratio of female to male labor force participation rate (%) (national estimate)/Latam/VEN", + "Renewable internal freshwater resources per capita (cubic meters)/Latam/VEN", + "Suicide mortality rate (per 100,000 population)/Latam/VEN", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Latam/VEN", + "Access to electricity (% of population)/Asia/VNM", + "Agricultural land (% of land area)/Asia/VNM", + "Consumer price index (2010 = 100)/Asia/VNM", + "Current health expenditure (% of GDP)/Asia/VNM", + "Current health expenditure per capita (current US$)/Asia/VNM", + "Employment in industry (% of total employment) (modeled ILO estimate)/Asia/VNM", + "Export value index (2000 = 100)/Asia/VNM", + "Fixed broadband subscriptions (per 100 people)/Asia/VNM", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia/VNM", + "GNI (current US$)/Asia/VNM", + "Gross value added at basic prices (GVA) (current US$)/Asia/VNM", + "Households and NPISHs Final consumption expenditure (current US$)/Asia/VNM", + "Industry (including construction), value added (current US$)/Asia/VNM", + "Number of deaths ages 5-9 years/Asia/VNM", + "Number of infant deaths/Asia/VNM", + "Population in largest city/Asia/VNM", + "Prevalence of current tobacco use (% of adults)/Asia/VNM", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Asia/VNM", + "Ratio of female to male labor force participation rate (%) (national estimate)/Asia/VNM", + "Renewable internal freshwater resources per capita (cubic meters)/Asia/VNM", + "Suicide mortality rate (per 100,000 population)/Asia/VNM", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Asia/VNM", + "Access to electricity (% of population)/Persian Gulf/YEM", + "Agricultural land (% of land area)/Persian Gulf/YEM", + "Consumer price index (2010 = 100)/Persian Gulf/YEM", + "Current health expenditure (% of GDP)/Persian Gulf/YEM", + "Current health expenditure per capita (current US$)/Persian Gulf/YEM", + "Employment in industry (% of total employment) (modeled ILO estimate)/Persian Gulf/YEM", + "Fixed broadband subscriptions (per 100 people)/Persian Gulf/YEM", + "GNI (current US$)/Persian Gulf/YEM", + "Gross value added at basic prices (GVA) (current US$)/Persian Gulf/YEM", + "Industry (including construction), value added (current US$)/Persian Gulf/YEM", + "Number of deaths ages 5-9 years/Persian Gulf/YEM", + "Population in largest city/Persian Gulf/YEM", + "Prevalence of current tobacco use (% of adults)/Persian Gulf/YEM", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Persian Gulf/YEM", + "Renewable internal freshwater resources per capita (cubic meters)/Persian Gulf/YEM", + "Suicide mortality rate (per 100,000 population)/Persian Gulf/YEM", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Persian Gulf/YEM", + "Access to electricity (% of population)/South Africa/ZAF", + "CO2 emissions (kg per PPP $ of GDP)/South Africa/ZAF", + "Consumer price index (2010 = 100)/South Africa/ZAF", + "Current health expenditure 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capita (cubic meters)/South Africa/ZAF", + "Access to electricity (% of population)/Asia", + "Agricultural land (% of land area)/Asia", + "CO2 emissions (kg per PPP $ of GDP)/Asia", + "Consumer price index (2010 = 100)/Asia", + "Current health expenditure (% of GDP)/Asia", + "Current health expenditure per capita (current US$)/Asia", + "Employment in industry (% of total employment) (modeled ILO estimate)/Asia", + "Export value index (2000 = 100)/Asia", + "Fixed broadband subscriptions (per 100 people)/Asia", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Asia", + "GNI (current US$)/Asia", + "Gross value added at basic prices (GVA) (current US$)/Asia", + "Households and NPISHs Final consumption expenditure (current US$)/Asia", + "Industry (including construction), value added (current US$)/Asia", + "Number of deaths ages 5-9 years/Asia", + "Number of infant deaths/Asia", + "Population in largest city/Asia", + "Prevalence of current tobacco use (% of adults)/Asia", + "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)/Asia", + "Ratio of female to male labor force participation rate (%) (national estimate)/Asia", + "Renewable internal freshwater resources per capita (cubic meters)/Asia", + "Suicide mortality rate (per 100,000 population)/Asia", + "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)/Asia", + "Agricultural land (% of land area)/Europe", + "CO2 emissions (kg per PPP $ of GDP)/Europe", + "Consumer price index (2010 = 100)/Europe", + "Current health expenditure (% of GDP)/Europe", + "Current health expenditure per capita (current US$)/Europe", + "Employment in industry (% of total employment) (modeled ILO estimate)/Europe", + "Export value index (2000 = 100)/Europe", + "Fixed broadband subscriptions (per 100 people)/Europe", + "GDP per unit of energy use (PPP $ per kg of oil equivalent)/Europe", + "GNI (current US$)/Europe", + "Gross value added at basic 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"Europe/FRA/Demography", + "Europe/GBR/Demography", + "South Africa/GHA/Demography", + "Europe/GRC/Demography", + "Europe/HRV/Demography", + "Asia/IDN/Demography", + "Asia/IND/Demography", + "North Africa/ISR/Demography", + "North Africa/MAR/Demography", + "Latam/MEX/Demography", + "South Africa/MOZ/Demography", + "South Africa/NGA/Demography", + "Europe/NLD/Demography", + "Persian Gulf/OMN/Demography", + "Latam/PAN/Demography", + "Latam/PER/Demography", + "Asia/PHL/Demography", + "Europe/POL/Demography", + "Persian Gulf/QAT/Demography", + "Persian Gulf/SAU/Demography", + "South Africa/SEN/Demography", + "Asia/THA/Demography", + "North Africa/TUR/Demography", + "Pair/USA/Demography", + "Latam/VEN/Demography", + "Asia/VNM/Demography", + "Persian Gulf/YEM/Demography", + "South Africa/ZAF/Demography", + "Persian Gulf/ARE/Economy", + "Latam/ARG/Economy", + "Europe/AUT/Economy", + "Persian Gulf/AZE/Economy", + "Asia/BGD/Economy", + "Latam/BRA/Economy", + "Latam/CHL/Economy", + "Pair/CHN/Economy", + "South Africa/CMR/Economy", + "Latam/COL/Economy", + "Latam/CRI/Economy", + "Europe/DEU/Economy", + "North Africa/DZA/Economy", + "North Africa/EGY/Economy", + "Europe/ESP/Economy", + "Europe/FRA/Economy", + "Europe/GBR/Economy", + "South Africa/GHA/Economy", + "Europe/GRC/Economy", + "Europe/HRV/Economy", + "Asia/IDN/Economy", + "Asia/IND/Economy", + "Persian Gulf/IRQ/Economy", + "North Africa/ISR/Economy", + "Asia/KOR/Economy", + "South Africa/LBR/Economy", + "North Africa/MAR/Economy", + "Latam/MEX/Economy", + "South Africa/MOZ/Economy", + "South Africa/NGA/Economy", + "Europe/NLD/Economy", + "Persian Gulf/OMN/Economy", + "Latam/PAN/Economy", + "Latam/PER/Economy", + "Asia/PHL/Economy", + "Europe/POL/Economy", + "Persian Gulf/QAT/Economy", + "Persian Gulf/SAU/Economy", + "South Africa/SEN/Economy", + "Europe/SWE/Economy", + "Asia/THA/Economy", + "North Africa/TUR/Economy", + "Pair/USA/Economy", + "Latam/VEN/Economy", + "Asia/VNM/Economy", + "Persian Gulf/YEM/Economy", + "South Africa/ZAF/Economy", + "Latam/ARG/Employment", + "Europe/AUT/Employment", + "Persian Gulf/AZE/Employment", + "Asia/BGD/Employment", + "Latam/BRA/Employment", + "Pair/CHN/Employment", + "South Africa/CMR/Employment", + "Latam/CRI/Employment", + "Europe/DEU/Employment", + "North Africa/DZA/Employment", + "North Africa/EGY/Employment", + "Europe/ESP/Employment", + "Europe/FRA/Employment", + "Europe/GBR/Employment", + "Europe/GRC/Employment", + "Europe/HRV/Employment", + "Asia/IDN/Employment", + "Asia/IND/Employment", + "North Africa/ISR/Employment", + "Asia/KOR/Employment", + "North Africa/MAR/Employment", + "South Africa/MOZ/Employment", + "Europe/NLD/Employment", + "Persian Gulf/OMN/Employment", + "Europe/POL/Employment", + "Persian Gulf/SAU/Employment", + "South Africa/SEN/Employment", + "Europe/SWE/Employment", + "Pair/USA/Employment", + "Latam/VEN/Employment", + "Asia/VNM/Employment", + "Persian Gulf/YEM/Employment", + "South Africa/ZAF/Employment", + "Persian Gulf/ARE/Environment", + "Latam/ARG/Environment", + "Europe/AUT/Environment", + "Persian Gulf/AZE/Environment", + "Asia/BGD/Environment", + "Latam/BRA/Environment", + "Latam/CHL/Environment", + "Pair/CHN/Environment", + "South Africa/CMR/Environment", + "Latam/COL/Environment", + "Latam/CRI/Environment", + "Europe/DEU/Environment", + "North Africa/DZA/Environment", + "North Africa/EGY/Environment", + "Europe/ESP/Environment", + "Europe/FRA/Environment", + "Europe/GBR/Environment", + "South Africa/GHA/Environment", + "Europe/GRC/Environment", + "Europe/HRV/Environment", + "Asia/IDN/Environment", + "Asia/IND/Environment", + "Persian Gulf/IRQ/Environment", + "North Africa/ISR/Environment", + "Asia/KOR/Environment", + "South Africa/LBR/Environment", + "North Africa/MAR/Environment", + "Latam/MEX/Environment", + "South Africa/MOZ/Environment", + "South Africa/NGA/Environment", + "Europe/NLD/Environment", + "Persian Gulf/OMN/Environment", + "Latam/PAN/Environment", + "Latam/PER/Environment", + "Asia/PHL/Environment", + "Europe/POL/Environment", + "Persian Gulf/QAT/Environment", + "Persian Gulf/SAU/Environment", + "South Africa/SEN/Environment", + "Europe/SWE/Environment", + "Asia/THA/Environment", + "North Africa/TUR/Environment", + "Pair/USA/Environment", + "Latam/VEN/Environment", + "Asia/VNM/Environment", + "Persian Gulf/YEM/Environment", + "South Africa/ZAF/Environment", + "Persian Gulf/ARE/Equality", + "Latam/ARG/Equality", + "Europe/AUT/Equality", + "Asia/BGD/Equality", + "Latam/BRA/Equality", + "Latam/CHL/Equality", + "Pair/CHN/Equality", + "Latam/CRI/Equality", + "Europe/DEU/Equality", + "North Africa/DZA/Equality", + "Europe/ESP/Equality", + "Europe/FRA/Equality", + "Europe/GBR/Equality", + "South Africa/GHA/Equality", + "Europe/GRC/Equality", + "Asia/IND/Equality", + "North Africa/ISR/Equality", + "Asia/KOR/Equality", + "Latam/MEX/Equality", + "South Africa/MOZ/Equality", + "South Africa/NGA/Equality", + "Europe/NLD/Equality", + "Persian Gulf/OMN/Equality", + "Latam/PAN/Equality", + "Europe/POL/Equality", + "Persian Gulf/QAT/Equality", + "Persian Gulf/SAU/Equality", + "South Africa/SEN/Equality", + "North Africa/TUR/Equality", + "Pair/USA/Equality", + "Latam/VEN/Equality", + "Asia/VNM/Equality", + "Persian Gulf/YEM/Equality", + "South Africa/ZAF/Equality", + "Persian Gulf/ARE/Exports", + "Europe/AUT/Exports", + "Persian Gulf/AZE/Exports", + "Asia/BGD/Exports", + "Latam/BRA/Exports", + "Latam/CHL/Exports", + "Pair/CHN/Exports", + "Latam/COL/Exports", + "Latam/CRI/Exports", + "Europe/DEU/Exports", + "North Africa/DZA/Exports", + "Europe/ESP/Exports", + "Europe/FRA/Exports", + "Europe/GBR/Exports", + "South Africa/GHA/Exports", + "Asia/IDN/Exports", + "Asia/IND/Exports", + "Persian Gulf/IRQ/Exports", + "Asia/KOR/Exports", + "North Africa/MAR/Exports", + "Latam/MEX/Exports", + "South Africa/MOZ/Exports", + "Europe/NLD/Exports", + "Persian Gulf/OMN/Exports", + "Latam/PAN/Exports", + "Latam/PER/Exports", + 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"\n", + "lastdf.isna().sum()\n", + "\n", + "from ipywidgets import widgets, HBox\n", + "\n", + "out = widgets.Output()\n", + "\n", + "def output_treemap(path):\n", + "\n", + " figA = px.treemap(lastdf, path=path, values='R^2 Spearman',\n", + "\n", + " color='R^2 Spearman',\n", + "\n", + " color_continuous_scale='RdBu_r')\n", + "\n", + " figA.update_layout(margin = dict(t=50, l=25, r=25, b=25))\n", + "\n", + " out.clear_output(wait=True)\n", + "\n", + " with out:\n", + "\n", + " figA.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [], + "source": [ + "path_1_dropdown = widgets.Dropdown(\n", + "\n", + " options=['Continent', 'Country','Group','Indicator'],\n", + "\n", + " value='Continent',\n", + "\n", + " description='Path 1',\n", + "\n", + " disabled=False,\n", + "\n", + ")\n", + "\n", + "path_2_dropdown = widgets.Dropdown(\n", + "\n", + " options=['Continent', 'Country','Group','Indicator'],\n", + "\n", + " value='Country',\n", + "\n", + " description='Path 2',\n", + "\n", + " disabled=False,\n", + "\n", + ")\n", + "\n", + "path_3_dropdown=widgets.Dropdown(\n", + "\n", + " options=['Continent', 'Country','Group','Indicator'],\n", + "\n", + " value='Group',\n", + "\n", + " description='Path 3',\n", + "\n", + " disabled=False,\n", + "\n", + ")\n", + "\n", + "path_4_dropdown=widgets.Dropdown(\n", + "\n", + " options=['Continent', 'Country','Group','Indicator'],\n", + "\n", + " value='Indicator',\n", + "\n", + " description='Path 4',\n", + "\n", + " disabled=False,\n", + "\n", + ")\n", + "\n", + "ok_button = widgets.Button(\n", + "\n", + " description='Ready to go',\n", + "\n", + " disabled=False,\n", + "\n", + " button_style='info', # 'success', 'info', 'warning', 'danger' or ''\n", + "\n", + " icon='check' # (FontAwesome names without the `fa-` prefix)\n", + "\n", + ")\n", + "\n", + "ok_button.on_click(lambda _: output_treemap([px.Constant(\"World\"), path_1_dropdown.value, path_2_dropdown.value,path_3_dropdown.value,path_4_dropdown.value]))" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "efff9c080b6049fd9f89865b23843ce6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(Dropdown(description='Path 1', options=('Continent', 'Country', 'Group', 'Indicator'), value='C…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e53ca788e13c4c0dbaba5cb95476da99", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "branchvalues": "total", + "customdata": [ + [ + 0.8531021111589834 + ], + [ + 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"World/Asia/PHL/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/South Africa/SEN/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Asia/THA/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/North Africa/TUR/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Asia/VNM/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Persian Gulf/YEM/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/South Africa/ZAF/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Persian Gulf/AZE/Environment/Access to electricity (% of population)", + "World/Asia/BGD/Environment/Access to electricity (% of population)", + "World/Latam/BRA/Environment/Access to electricity (% of population)", + "World/Latam/CHL/Environment/Access to electricity (% of population)", + "World/Pair/CHN/Environment/Access to electricity (% of population)", + "World/South Africa/CMR/Environment/Access to electricity (% of population)", + "World/Latam/COL/Environment/Access to electricity (% of population)", + "World/Latam/CRI/Environment/Access to electricity (% of population)", + "World/North Africa/EGY/Environment/Access to electricity (% of population)", + "World/South Africa/GHA/Environment/Access to electricity (% of population)", + "World/Asia/IDN/Environment/Access to electricity (% of population)", + "World/Asia/IND/Environment/Access to electricity (% of population)", + "World/Persian Gulf/IRQ/Environment/Access to electricity (% of population)", + "World/South Africa/LBR/Environment/Access to electricity (% of population)", + "World/North Africa/MAR/Environment/Access to electricity (% of population)", + "World/Latam/MEX/Environment/Access to electricity (% of population)", + "World/South Africa/MOZ/Environment/Access to electricity (% of population)", + "World/South Africa/NGA/Environment/Access to electricity (% of population)", + "World/Latam/PAN/Environment/Access to electricity (% of population)", + "World/Latam/PER/Environment/Access to electricity (% of population)", + "World/Asia/PHL/Environment/Access to electricity (% of population)", + "World/South Africa/SEN/Environment/Access to electricity (% of population)", + "World/Asia/THA/Environment/Access to electricity (% of population)", + "World/Asia/VNM/Environment/Access to electricity (% of population)", + "World/Persian Gulf/YEM/Environment/Access to electricity (% of population)", + "World/South Africa/ZAF/Environment/Access to electricity (% of population)", + "World/Persian Gulf/ARE/Economy/Adjusted net national income (current US$)", + "World/Latam/ARG/Economy/Adjusted net national income (current US$)", + "World/Europe/AUT/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted net national income (current US$)", + "World/Asia/BGD/Economy/Adjusted net national income (current US$)", + "World/Latam/BRA/Economy/Adjusted net national income (current US$)", + "World/Latam/CHL/Economy/Adjusted net national income (current US$)", + "World/Pair/CHN/Economy/Adjusted net national income (current US$)", + "World/South Africa/CMR/Economy/Adjusted net national income (current US$)", + "World/Latam/COL/Economy/Adjusted net national income (current US$)", + "World/Latam/CRI/Economy/Adjusted net national income (current US$)", + "World/Europe/DEU/Economy/Adjusted net national income (current US$)", + "World/North Africa/DZA/Economy/Adjusted net national income (current US$)", + "World/North Africa/EGY/Economy/Adjusted net national income (current US$)", + "World/Europe/ESP/Economy/Adjusted net national income (current US$)", + "World/Europe/FRA/Economy/Adjusted net national income (current US$)", + "World/Europe/GBR/Economy/Adjusted net national income (current US$)", + "World/South Africa/GHA/Economy/Adjusted net national income (current US$)", + "World/Europe/HRV/Economy/Adjusted net national income (current US$)", + "World/Asia/IDN/Economy/Adjusted net national income (current US$)", + "World/Asia/IND/Economy/Adjusted net national income (current US$)", + "World/North Africa/ISR/Economy/Adjusted net national income (current US$)", + "World/Asia/KOR/Economy/Adjusted net national income (current US$)", + "World/South Africa/LBR/Economy/Adjusted net national income (current US$)", + "World/North Africa/MAR/Economy/Adjusted net national income (current US$)", + "World/Latam/MEX/Economy/Adjusted net national income (current US$)", + "World/South Africa/MOZ/Economy/Adjusted net national income (current US$)", + "World/South Africa/NGA/Economy/Adjusted net national income (current US$)", + "World/Europe/NLD/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted net national income (current US$)", + "World/Latam/PAN/Economy/Adjusted net national income (current US$)", + "World/Latam/PER/Economy/Adjusted net national income (current US$)", + "World/Asia/PHL/Economy/Adjusted net national income (current US$)", + "World/Europe/POL/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted net national income (current US$)", + "World/South Africa/SEN/Economy/Adjusted net national income (current US$)", + "World/Europe/SWE/Economy/Adjusted net national income (current US$)", + "World/Asia/THA/Economy/Adjusted net national income (current US$)", + "World/North Africa/TUR/Economy/Adjusted net national income (current US$)", + "World/Pair/USA/Economy/Adjusted net national income (current US$)", + "World/Latam/VEN/Economy/Adjusted net national income (current US$)", + "World/Asia/VNM/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted net national income (current US$)", + "World/South Africa/ZAF/Economy/Adjusted net national income (current US$)", + "World/Latam/ARG/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/AUT/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/BGD/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/BRA/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/CHL/Economy/Adjusted net national income per capita (current US$)", + "World/Pair/CHN/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/CMR/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/COL/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/CRI/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/DEU/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/DZA/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/EGY/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/ESP/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/FRA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/GBR/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/GHA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/HRV/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/IDN/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/IND/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/IRQ/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/ISR/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/KOR/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/MAR/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/MEX/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/MOZ/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/NGA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/NLD/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/PAN/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/PER/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/PHL/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/POL/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/SEN/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/SWE/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/THA/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/TUR/Economy/Adjusted net national income per capita (current US$)", + "World/Pair/USA/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/VEN/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/VNM/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/ZAF/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/COL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/IND/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/PER/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/POL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/THA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Pair/USA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/COL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/ESP/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/HRV/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/IND/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/PER/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/POL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/SWE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/THA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Pair/USA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/COL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/ESP/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/HRV/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/IND/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/PER/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/POL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/SWE/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/THA/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Pair/USA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: net national savings (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/IND/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: net national savings (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/PER/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/POL/Economy/Adjusted savings: net national savings (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: net national savings (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/THA/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: net national savings (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/COL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/IND/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/THA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/ARE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/ARG/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/AUT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/AZE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/BGD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/BRA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/CHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Pair/CHN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/CMR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/COL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/CRI/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/DEU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/EGY/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/GBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/GHA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/GRC/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/HRV/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/IND/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/ISR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/KOR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/LBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/MAR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/MEX/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/MOZ/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/NGA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/NLD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/OMN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/PAN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/PER/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/PHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/POL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/QAT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/SAU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/SEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/SWE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/TUR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Pair/USA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/VEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/VNM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/YEM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/AUT/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Agricultural land (% of land area)", + "World/Asia/BGD/Agriculture/Agricultural land (% of land area)", + "World/Latam/BRA/Agriculture/Agricultural land (% of land area)", + "World/Pair/CHN/Agriculture/Agricultural land (% of land area)", + "World/South Africa/CMR/Agriculture/Agricultural land (% of land area)", + "World/Latam/CRI/Agriculture/Agricultural land (% of land area)", + "World/Europe/DEU/Agriculture/Agricultural land (% of land area)", + "World/North Africa/DZA/Agriculture/Agricultural land (% of land area)", + "World/North Africa/EGY/Agriculture/Agricultural land (% of land area)", + "World/Europe/ESP/Agriculture/Agricultural land (% of land area)", + "World/Europe/FRA/Agriculture/Agricultural land (% of land area)", + "World/Europe/GRC/Agriculture/Agricultural land (% of land area)", + "World/Asia/IDN/Agriculture/Agricultural land (% of land area)", + "World/Asia/IND/Agriculture/Agricultural land (% of land area)", + "World/North Africa/ISR/Agriculture/Agricultural land (% of land area)", + "World/Asia/KOR/Agriculture/Agricultural land (% of land area)", + "World/South Africa/LBR/Agriculture/Agricultural land (% of land area)", + "World/South Africa/MOZ/Agriculture/Agricultural land (% of land area)", + "World/South Africa/NGA/Agriculture/Agricultural land (% of land area)", + "World/Europe/NLD/Agriculture/Agricultural land (% of land area)", + "World/Latam/PAN/Agriculture/Agricultural land (% of land area)", + "World/Asia/PHL/Agriculture/Agricultural land (% of land area)", + "World/Europe/POL/Agriculture/Agricultural land (% of land area)", + "World/Europe/SWE/Agriculture/Agricultural land (% of land area)", + "World/North Africa/TUR/Agriculture/Agricultural land (% of land area)", + "World/Pair/USA/Agriculture/Agricultural land (% of land area)", + "World/Latam/VEN/Agriculture/Agricultural land (% of land area)", + "World/Asia/VNM/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/ARE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/AUT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/HRV/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/MEX/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/SAU/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/TUR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/BRA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/NLD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/USA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/AUT/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/BRA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/CHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/COL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/DZA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/EGY/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/GRC/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/HRV/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/IDN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/KOR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/MAR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/MEX/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/PHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/POL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/THA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/TUR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Pair/USA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/VEN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/VNM/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/BGD/Agriculture/Aquaculture production (metric tons)", + "World/Latam/BRA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/CHL/Agriculture/Aquaculture production (metric tons)", + "World/Pair/CHN/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/CMR/Agriculture/Aquaculture production (metric tons)", + "World/Latam/COL/Agriculture/Aquaculture production (metric tons)", + "World/Latam/CRI/Agriculture/Aquaculture production (metric tons)", + "World/North Africa/EGY/Agriculture/Aquaculture production (metric tons)", + "World/Europe/FRA/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/GHA/Agriculture/Aquaculture production (metric tons)", + "World/Asia/IDN/Agriculture/Aquaculture production (metric tons)", + "World/Asia/IND/Agriculture/Aquaculture production (metric tons)", + "World/Asia/KOR/Agriculture/Aquaculture production (metric tons)", + "World/Latam/MEX/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/NGA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/PER/Agriculture/Aquaculture production (metric tons)", + "World/Asia/PHL/Agriculture/Aquaculture production (metric tons)", + "World/Europe/POL/Agriculture/Aquaculture production (metric tons)", + "World/Persian Gulf/SAU/Agriculture/Aquaculture production (metric tons)", + "World/North Africa/TUR/Agriculture/Aquaculture production (metric tons)", + "World/Pair/USA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/VEN/Agriculture/Aquaculture production (metric tons)", + "World/Asia/VNM/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/ZAF/Agriculture/Aquaculture production (metric tons)", + "World/Europe/AUT/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Arable land (% of land area)", + "World/Asia/BGD/Agriculture/Arable land (% of land area)", + "World/Latam/BRA/Agriculture/Arable land (% of land area)", + "World/Latam/CHL/Agriculture/Arable land (% of land area)", + "World/Pair/CHN/Agriculture/Arable land (% of land area)", + "World/South Africa/CMR/Agriculture/Arable land (% of land area)", + "World/Latam/COL/Agriculture/Arable land (% of land area)", + "World/Latam/CRI/Agriculture/Arable land (% of land area)", + "World/South Africa/GHA/Agriculture/Arable land (% of land area)", + "World/Europe/GRC/Agriculture/Arable land (% of land area)", + "World/Asia/IDN/Agriculture/Arable land (% of land area)", + "World/Asia/IND/Agriculture/Arable land (% of land area)", + "World/Asia/KOR/Agriculture/Arable land (% of land area)", + "World/South Africa/LBR/Agriculture/Arable land (% of land area)", + "World/North Africa/MAR/Agriculture/Arable land (% of land area)", + "World/South Africa/MOZ/Agriculture/Arable land (% of land area)", + "World/Latam/PAN/Agriculture/Arable land (% of land area)", + "World/Europe/POL/Agriculture/Arable land (% of land area)", + "World/Europe/SWE/Agriculture/Arable land (% of land area)", + "World/North Africa/TUR/Agriculture/Arable land (% of land area)", + "World/Pair/USA/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/ARE/Agriculture/Arable land (hectares per person)", + "World/Latam/ARG/Agriculture/Arable land (hectares per person)", + "World/Europe/AUT/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/AZE/Agriculture/Arable land (hectares per person)", + "World/Asia/BGD/Agriculture/Arable land (hectares per person)", + "World/Latam/CHL/Agriculture/Arable land (hectares per person)", + "World/Pair/CHN/Agriculture/Arable land (hectares per person)", + "World/South Africa/CMR/Agriculture/Arable land (hectares per person)", + "World/Latam/COL/Agriculture/Arable land (hectares per person)", + "World/North Africa/DZA/Agriculture/Arable land (hectares per person)", + "World/North Africa/EGY/Agriculture/Arable land (hectares per person)", + "World/Europe/ESP/Agriculture/Arable land (hectares per person)", + "World/Europe/FRA/Agriculture/Arable land (hectares per person)", + "World/South Africa/GHA/Agriculture/Arable land (hectares per person)", + "World/Europe/GRC/Agriculture/Arable land (hectares per person)", + "World/Asia/IND/Agriculture/Arable land (hectares per person)", + "World/Asia/KOR/Agriculture/Arable land (hectares per person)", + "World/South Africa/LBR/Agriculture/Arable land (hectares per person)", + "World/North Africa/MAR/Agriculture/Arable land (hectares per person)", + "World/Latam/MEX/Agriculture/Arable land (hectares per person)", + "World/South Africa/MOZ/Agriculture/Arable land (hectares per person)", + "World/South Africa/NGA/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/OMN/Agriculture/Arable land (hectares per person)", + "World/Latam/PAN/Agriculture/Arable land (hectares per person)", + "World/Latam/PER/Agriculture/Arable land (hectares per person)", + "World/Asia/PHL/Agriculture/Arable land (hectares per person)", + "World/Europe/POL/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/QAT/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/SAU/Agriculture/Arable land (hectares per person)", + "World/Europe/SWE/Agriculture/Arable land (hectares per person)", + "World/North Africa/TUR/Agriculture/Arable land (hectares per person)", + "World/Pair/USA/Agriculture/Arable land (hectares per person)", + "World/Latam/VEN/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/YEM/Agriculture/Arable land (hectares per person)", + "World/South Africa/ZAF/Agriculture/Arable land (hectares per person)", + "World/Europe/AUT/Agriculture/Arable land (hectares)", + "World/Persian Gulf/AZE/Agriculture/Arable land (hectares)", + "World/Asia/BGD/Agriculture/Arable land (hectares)", + "World/Latam/BRA/Agriculture/Arable land (hectares)", + "World/Latam/CHL/Agriculture/Arable land (hectares)", + "World/Pair/CHN/Agriculture/Arable land (hectares)", + "World/South Africa/CMR/Agriculture/Arable land (hectares)", + "World/Latam/COL/Agriculture/Arable land (hectares)", + "World/Latam/CRI/Agriculture/Arable land (hectares)", + "World/South Africa/GHA/Agriculture/Arable land (hectares)", + "World/Europe/GRC/Agriculture/Arable land (hectares)", + "World/Asia/IDN/Agriculture/Arable land (hectares)", + "World/Asia/IND/Agriculture/Arable land (hectares)", + "World/Asia/KOR/Agriculture/Arable land (hectares)", + "World/South Africa/LBR/Agriculture/Arable land (hectares)", + "World/North Africa/MAR/Agriculture/Arable land (hectares)", + "World/South Africa/MOZ/Agriculture/Arable land (hectares)", + "World/Latam/PAN/Agriculture/Arable land (hectares)", + "World/Europe/POL/Agriculture/Arable land (hectares)", + "World/Europe/SWE/Agriculture/Arable land (hectares)", + "World/North Africa/TUR/Agriculture/Arable land (hectares)", + "World/Pair/USA/Agriculture/Arable land (hectares)", + "World/Persian Gulf/YEM/Agriculture/Arable land (hectares)", + "World/Persian Gulf/ARE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/ARG/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/AZE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/BGD/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Pair/CHN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/CMR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/COL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/CRI/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/DEU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/DZA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/EGY/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/FRA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/GHA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/HRV/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/IDN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/IND/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/ISR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/LBR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/MAR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/MEX/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/MOZ/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/NGA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/PAN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/PER/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/PHL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/POL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/SAU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/SEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/THA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/TUR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Pair/USA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/VEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/VNM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/YEM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/ZAF/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/ARE/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/BGD/Mortality/Births attended by skilled health staff (% of total)", + "World/Pair/CHN/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/CRI/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/DZA/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/EGY/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/GHA/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/IDN/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/IND/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/MAR/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/MEX/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/MOZ/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/PER/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/PHL/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/SAU/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/TUR/Mortality/Births attended by skilled health staff (% of total)", + "World/Pair/USA/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/VNM/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/YEM/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/ZAF/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/ARE/Economy/Broad money (% of GDP)", + "World/Latam/ARG/Economy/Broad money (% of GDP)", + "World/Persian Gulf/AZE/Economy/Broad money (% of GDP)", + "World/Asia/BGD/Economy/Broad money (% of GDP)", + "World/Latam/BRA/Economy/Broad money (% of GDP)", + "World/Pair/CHN/Economy/Broad money (% of GDP)", + "World/South Africa/CMR/Economy/Broad money (% of GDP)", + "World/North Africa/DZA/Economy/Broad money (% of GDP)", + "World/Europe/GBR/Economy/Broad money (% of GDP)", + "World/Europe/HRV/Economy/Broad money (% of GDP)", + "World/Asia/IND/Economy/Broad money (% of GDP)", + "World/North Africa/ISR/Economy/Broad money (% of GDP)", + "World/Asia/KOR/Economy/Broad money (% of GDP)", + "World/North Africa/MAR/Economy/Broad money (% of GDP)", + "World/Latam/MEX/Economy/Broad money (% of GDP)", + "World/South Africa/MOZ/Economy/Broad money (% of GDP)", + "World/Latam/PER/Economy/Broad money (% of GDP)", + "World/Asia/PHL/Economy/Broad money (% of GDP)", + "World/Europe/POL/Economy/Broad money (% of GDP)", + "World/Persian Gulf/QAT/Economy/Broad money (% of GDP)", + "World/South Africa/SEN/Economy/Broad money (% of GDP)", + "World/North Africa/TUR/Economy/Broad money (% of GDP)", + "World/Pair/USA/Economy/Broad money (% of GDP)", + "World/Latam/VEN/Economy/Broad money (% of GDP)", + "World/Asia/VNM/Economy/Broad money (% of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/PHL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/VNM/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/PHL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/VNM/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/ARG/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/BRA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/CHL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/COL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/ESP/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/IDN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/MAR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/PER/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/TUR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/South Africa/ZAF/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/ARE/Environment/CO2 emissions (kt)", + "World/Latam/ARG/Environment/CO2 emissions (kt)", + "World/Asia/BGD/Environment/CO2 emissions (kt)", + "World/Latam/BRA/Environment/CO2 emissions (kt)", + "World/Latam/CHL/Environment/CO2 emissions (kt)", + "World/Pair/CHN/Environment/CO2 emissions (kt)", + "World/Latam/COL/Environment/CO2 emissions (kt)", + "World/Latam/CRI/Environment/CO2 emissions (kt)", + "World/Europe/DEU/Environment/CO2 emissions (kt)", + "World/North Africa/DZA/Environment/CO2 emissions (kt)", + "World/North Africa/EGY/Environment/CO2 emissions (kt)", + "World/Europe/GBR/Environment/CO2 emissions (kt)", + "World/South Africa/GHA/Environment/CO2 emissions (kt)", + "World/Asia/IDN/Environment/CO2 emissions (kt)", + "World/Asia/IND/Environment/CO2 emissions (kt)", + "World/Asia/KOR/Environment/CO2 emissions (kt)", + "World/South Africa/LBR/Environment/CO2 emissions (kt)", + "World/North Africa/MAR/Environment/CO2 emissions (kt)", + "World/Latam/MEX/Environment/CO2 emissions (kt)", + "World/South Africa/MOZ/Environment/CO2 emissions (kt)", + "World/South Africa/NGA/Environment/CO2 emissions (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kt)", + "World/Latam/PAN/Environment/CO2 emissions (kt)", + "World/Latam/PER/Environment/CO2 emissions (kt)", + "World/Asia/PHL/Environment/CO2 emissions (kt)", + "World/Persian Gulf/QAT/Environment/CO2 emissions (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kt)", + "World/South Africa/SEN/Environment/CO2 emissions (kt)", + "World/Europe/SWE/Environment/CO2 emissions (kt)", + "World/Asia/THA/Environment/CO2 emissions (kt)", + "World/North Africa/TUR/Environment/CO2 emissions (kt)", + "World/Asia/VNM/Environment/CO2 emissions (kt)", + "World/South Africa/ZAF/Environment/CO2 emissions (kt)", + "World/Asia/BGD/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/BRA/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/CHL/Environment/CO2 emissions (metric tons per capita)", + "World/Pair/CHN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/CRI/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/DEU/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/DZA/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/EGY/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/GBR/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/GHA/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/GRC/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/IDN/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/IND/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/ISR/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/KOR/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/MAR/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/MOZ/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/NLD/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/PAN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/PER/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/PHL/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/SEN/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/SWE/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/THA/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/TUR/Environment/CO2 emissions (metric tons per capita)", + "World/Pair/USA/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/VNM/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/ARG/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/AZE/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/BGD/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/BRA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Pair/CHN/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/COL/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/DZA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/EGY/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/ESP/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/IND/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/ISR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/KOR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/MAR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/MEX/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/South Africa/NGA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/NLD/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/PER/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/POL/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/QAT/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/THA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/TUR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Pair/USA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/VNM/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/BGD/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/BRA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/CHL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Pair/CHN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/CMR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/CRI/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/DZA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/EGY/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/GBR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/GHA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/IDN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/IND/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/MAR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/MOZ/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/NLD/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/PAN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/PER/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/PHL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/POL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/THA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/VNM/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Europe/AUT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/BGD/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/BRA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/CHL/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Pair/CHN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/CMR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/IDN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/IND/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/KOR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/North Africa/MAR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/MEX/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/NGA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/QAT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/SEN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/VNM/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/ARE/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/AZE/Industry/Capture fisheries production (metric tons)", + "World/Asia/BGD/Industry/Capture fisheries production (metric tons)", + "World/Latam/CHL/Industry/Capture fisheries production (metric tons)", + "World/South Africa/CMR/Industry/Capture fisheries production (metric tons)", + "World/Latam/CRI/Industry/Capture fisheries production (metric tons)", + "World/Europe/GRC/Industry/Capture fisheries production (metric tons)", + "World/Europe/HRV/Industry/Capture fisheries production (metric tons)", + "World/Asia/IDN/Industry/Capture fisheries production (metric tons)", + "World/Asia/IND/Industry/Capture fisheries production (metric tons)", + "World/North Africa/ISR/Industry/Capture fisheries production (metric tons)", + "World/North Africa/MAR/Industry/Capture fisheries production (metric tons)", + "World/South Africa/MOZ/Industry/Capture fisheries production (metric tons)", + "World/South Africa/NGA/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/OMN/Industry/Capture fisheries production (metric tons)", + "World/Asia/PHL/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/SAU/Industry/Capture fisheries production (metric tons)", + "World/Asia/THA/Industry/Capture fisheries production (metric tons)", + "World/Asia/VNM/Industry/Capture fisheries production (metric tons)", + "World/Asia/BGD/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/BRA/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/CHL/Agriculture/Cereal yield (kg per hectare)", + "World/Pair/CHN/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/COL/Agriculture/Cereal yield (kg per hectare)", + "World/South Africa/GHA/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/IDN/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/IND/Agriculture/Cereal yield (kg per hectare)", + "World/North Africa/ISR/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/MEX/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/PAN/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/PER/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/PHL/Agriculture/Cereal yield (kg per hectare)", + "World/Persian Gulf/QAT/Agriculture/Cereal yield (kg per hectare)", + "World/Persian Gulf/SAU/Agriculture/Cereal yield (kg per hectare)", + "World/North Africa/TUR/Agriculture/Cereal yield (kg per hectare)", + "World/Pair/USA/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/VNM/Agriculture/Cereal yield (kg per hectare)", + "World/Europe/AUT/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/AZE/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/BGD/Environment/Combustible renewables and waste (% of total energy)", + "World/Pair/CHN/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/COL/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/DEU/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/DZA/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/GBR/Environment/Combustible renewables and waste (% of total energy)", + "World/South Africa/GHA/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/IDN/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/IND/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/KOR/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/MAR/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/MEX/Environment/Combustible renewables and waste (% of total energy)", + "World/South Africa/MOZ/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/NLD/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/PAN/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/PER/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/PHL/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/POL/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/SAU/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/SWE/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/TUR/Environment/Combustible renewables and waste (% of total energy)", + "World/Pair/USA/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/VNM/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/ARE/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/BGD/Economy/Commercial bank branches (per 100,000 adults)", + "World/Pair/CHN/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/CMR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Latam/CRI/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/DEU/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/DZA/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/EGY/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/FRA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/GBR/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/GHA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/IDN/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/IND/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/ISR/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/MAR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Latam/MEX/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/MOZ/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/NLD/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/OMN/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/POL/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/QAT/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/SEN/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/TUR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Pair/USA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/YEM/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/ZAF/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/AUT/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/AZE/Exports/Commercial service exports (current US$)", + "World/Asia/BGD/Exports/Commercial service exports (current US$)", + "World/Latam/BRA/Exports/Commercial service exports (current US$)", + "World/Latam/CHL/Exports/Commercial service exports (current US$)", + "World/Pair/CHN/Exports/Commercial service exports (current US$)", + "World/South Africa/CMR/Exports/Commercial service exports (current US$)", + "World/Latam/COL/Exports/Commercial service exports (current US$)", + "World/Latam/CRI/Exports/Commercial service exports (current US$)", + "World/Europe/DEU/Exports/Commercial service exports (current US$)", + "World/North Africa/DZA/Exports/Commercial service exports (current US$)", + "World/Europe/ESP/Exports/Commercial service exports (current US$)", + "World/Europe/FRA/Exports/Commercial service exports (current US$)", + "World/Europe/GBR/Exports/Commercial service exports (current US$)", + "World/South Africa/GHA/Exports/Commercial service exports (current US$)", + "World/Europe/GRC/Exports/Commercial service exports (current US$)", + "World/Europe/HRV/Exports/Commercial service exports (current US$)", + "World/Asia/IDN/Exports/Commercial service exports (current US$)", + "World/Asia/IND/Exports/Commercial service exports (current US$)", + "World/North Africa/ISR/Exports/Commercial service exports (current US$)", + "World/Asia/KOR/Exports/Commercial service exports (current US$)", + "World/North Africa/MAR/Exports/Commercial service exports (current US$)", + "World/Europe/NLD/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/OMN/Exports/Commercial service exports (current US$)", + "World/Latam/PAN/Exports/Commercial service exports (current US$)", + "World/Latam/PER/Exports/Commercial service exports (current US$)", + "World/Asia/PHL/Exports/Commercial service exports (current US$)", + "World/Europe/POL/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/QAT/Exports/Commercial service exports (current US$)", + "World/South Africa/SEN/Exports/Commercial service exports (current US$)", + "World/Europe/SWE/Exports/Commercial service exports (current US$)", + "World/Asia/THA/Exports/Commercial service exports (current US$)", + "World/North Africa/TUR/Exports/Commercial service exports (current US$)", + "World/Pair/USA/Exports/Commercial service exports (current US$)", + "World/Asia/VNM/Exports/Commercial service exports (current US$)", + "World/South Africa/ZAF/Exports/Commercial service exports (current US$)", + "World/Latam/ARG/Imports/Commercial service imports (current US$)", + "World/Europe/AUT/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/AZE/Imports/Commercial service imports (current US$)", + "World/Asia/BGD/Imports/Commercial service imports (current US$)", + "World/Latam/BRA/Imports/Commercial service imports (current US$)", + "World/Latam/CHL/Imports/Commercial service imports (current US$)", + "World/Pair/CHN/Imports/Commercial service imports (current US$)", + "World/South Africa/CMR/Imports/Commercial service imports (current US$)", + "World/Latam/COL/Imports/Commercial service imports (current US$)", + "World/Latam/CRI/Imports/Commercial service imports (current US$)", + "World/Europe/DEU/Imports/Commercial service imports (current US$)", + "World/North Africa/DZA/Imports/Commercial service imports (current US$)", + "World/North Africa/EGY/Imports/Commercial service imports (current US$)", + "World/Europe/ESP/Imports/Commercial service imports (current US$)", + "World/Europe/FRA/Imports/Commercial service imports (current US$)", + "World/Europe/GBR/Imports/Commercial service imports (current US$)", + "World/South Africa/GHA/Imports/Commercial service imports (current US$)", + "World/Europe/HRV/Imports/Commercial service imports (current US$)", + "World/Asia/IDN/Imports/Commercial service imports (current US$)", + "World/Asia/IND/Imports/Commercial service imports (current US$)", + "World/North Africa/ISR/Imports/Commercial service imports (current US$)", + "World/Asia/KOR/Imports/Commercial service imports (current US$)", + "World/North Africa/MAR/Imports/Commercial service imports (current US$)", + "World/Latam/MEX/Imports/Commercial service imports (current US$)", + "World/South Africa/MOZ/Imports/Commercial service imports (current US$)", + "World/South Africa/NGA/Imports/Commercial service imports (current US$)", + "World/Europe/NLD/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/OMN/Imports/Commercial service imports (current US$)", + "World/Latam/PAN/Imports/Commercial service imports (current US$)", + "World/Latam/PER/Imports/Commercial service imports (current US$)", + "World/Asia/PHL/Imports/Commercial service imports (current US$)", + "World/Europe/POL/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/QAT/Imports/Commercial service imports (current US$)", + "World/South Africa/SEN/Imports/Commercial service imports (current US$)", + "World/Europe/SWE/Imports/Commercial service imports (current US$)", + "World/Asia/THA/Imports/Commercial service imports (current US$)", + "World/North Africa/TUR/Imports/Commercial service imports (current US$)", + "World/Pair/USA/Imports/Commercial service imports (current US$)", + "World/Asia/VNM/Imports/Commercial service imports (current US$)", + "World/South Africa/ZAF/Imports/Commercial service imports (current US$)", + "World/Latam/ARG/Demoraphy/Completeness of birth registration (%)", + "World/Asia/BGD/Demoraphy/Completeness of birth registration (%)", + "World/Latam/BRA/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/CMR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/COL/Demoraphy/Completeness of birth registration (%)", + "World/Latam/CRI/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/DZA/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/EGY/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/GHA/Demoraphy/Completeness of birth registration (%)", + "World/Asia/IND/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/LBR/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/MAR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/MEX/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/MOZ/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/NGA/Demoraphy/Completeness of birth registration (%)", + "World/Latam/PAN/Demoraphy/Completeness of birth registration (%)", + "World/Latam/PER/Demoraphy/Completeness of birth registration (%)", + "World/Asia/PHL/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/TUR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/VEN/Demoraphy/Completeness of birth registration (%)", + "World/Asia/VNM/Demoraphy/Completeness of birth registration (%)", + "World/Persian Gulf/ARE/Economy/Consumer price index (2010 = 100)", + "World/Europe/AUT/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/AZE/Economy/Consumer price index (2010 = 100)", + "World/Asia/BGD/Economy/Consumer price index (2010 = 100)", + "World/Latam/BRA/Economy/Consumer price index (2010 = 100)", + "World/Latam/CHL/Economy/Consumer price index (2010 = 100)", + "World/Pair/CHN/Economy/Consumer price index (2010 = 100)", + "World/South Africa/CMR/Economy/Consumer price index (2010 = 100)", + "World/Latam/COL/Economy/Consumer price index (2010 = 100)", + "World/Latam/CRI/Economy/Consumer price index (2010 = 100)", + "World/Europe/DEU/Economy/Consumer price index (2010 = 100)", + "World/North Africa/DZA/Economy/Consumer price index (2010 = 100)", + "World/North Africa/EGY/Economy/Consumer price index (2010 = 100)", + "World/Europe/ESP/Economy/Consumer price index (2010 = 100)", + "World/Europe/FRA/Economy/Consumer price index (2010 = 100)", + "World/Europe/GBR/Economy/Consumer price index (2010 = 100)", + "World/South Africa/GHA/Economy/Consumer price index (2010 = 100)", + "World/Europe/GRC/Economy/Consumer price index (2010 = 100)", + "World/Asia/IDN/Economy/Consumer price index (2010 = 100)", + "World/Asia/IND/Economy/Consumer price index (2010 = 100)", + "World/North Africa/ISR/Economy/Consumer price index (2010 = 100)", + "World/Asia/KOR/Economy/Consumer price index (2010 = 100)", + "World/South Africa/LBR/Economy/Consumer price index (2010 = 100)", + "World/North Africa/MAR/Economy/Consumer price index (2010 = 100)", + "World/Latam/MEX/Economy/Consumer price index (2010 = 100)", + "World/South Africa/MOZ/Economy/Consumer price index (2010 = 100)", + "World/South Africa/NGA/Economy/Consumer price index (2010 = 100)", + "World/Europe/NLD/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/OMN/Economy/Consumer price index (2010 = 100)", + "World/Latam/PAN/Economy/Consumer price index (2010 = 100)", + "World/Latam/PER/Economy/Consumer price index (2010 = 100)", + "World/Asia/PHL/Economy/Consumer price index (2010 = 100)", + "World/Europe/POL/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/QAT/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/SAU/Economy/Consumer price index (2010 = 100)", + "World/South Africa/SEN/Economy/Consumer price index (2010 = 100)", + "World/Europe/SWE/Economy/Consumer price index (2010 = 100)", + "World/Asia/THA/Economy/Consumer price index (2010 = 100)", + "World/North Africa/TUR/Economy/Consumer price index (2010 = 100)", + "World/Pair/USA/Economy/Consumer price index (2010 = 100)", + "World/Latam/VEN/Economy/Consumer price index (2010 = 100)", + "World/Asia/VNM/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/YEM/Economy/Consumer price index (2010 = 100)", + "World/South Africa/ZAF/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/ARE/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/BGD/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/CHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Pair/CHN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/CMR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/COL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/CRI/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/DEU/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/ESP/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/FRA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/GBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/GHA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/IDN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/IND/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/ISR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/KOR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/LBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/MAR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/MEX/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/MOZ/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/NLD/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/OMN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/PAN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/PER/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/PHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/POL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/QAT/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/SAU/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/SWE/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/THA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/TUR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Pair/USA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/VNM/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/ZAF/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/AZE/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/BGD/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/BRA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/CHL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Pair/CHN/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/CMR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/COL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/CRI/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/DZA/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/EGY/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/GHA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/IDN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/IND/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/MAR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/MEX/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/MOZ/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/NGA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/PER/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/PHL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/SEN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/THA/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/TUR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Pair/USA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/VNM/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/ARG/Health/Current health expenditure (% of GDP)", + "World/Europe/AUT/Health/Current health expenditure (% of GDP)", + "World/Latam/CHL/Health/Current health expenditure (% of GDP)", + "World/Pair/CHN/Health/Current health expenditure (% of GDP)", + "World/South Africa/CMR/Health/Current health expenditure (% of GDP)", + "World/Latam/COL/Health/Current health expenditure (% of GDP)", + "World/Latam/CRI/Health/Current health expenditure (% of GDP)", + "World/Europe/ESP/Health/Current health expenditure (% of GDP)", + "World/Europe/FRA/Health/Current health expenditure (% of GDP)", + "World/Europe/GBR/Health/Current health expenditure (% of GDP)", + "World/Europe/GRC/Health/Current health expenditure (% of GDP)", + "World/Asia/IDN/Health/Current health expenditure (% of GDP)", + "World/Asia/IND/Health/Current health expenditure (% of GDP)", + "World/Asia/KOR/Health/Current health expenditure (% of GDP)", + "World/South Africa/MOZ/Health/Current health expenditure (% of GDP)", + "World/Europe/NLD/Health/Current health expenditure (% of GDP)", + "World/Latam/PER/Health/Current health expenditure (% of GDP)", + "World/Europe/POL/Health/Current health expenditure (% of GDP)", + "World/Europe/SWE/Health/Current health expenditure (% of GDP)", + "World/Asia/THA/Health/Current health expenditure (% of GDP)", + "World/Pair/USA/Health/Current health expenditure (% of GDP)", + "World/Asia/VNM/Health/Current health expenditure (% of GDP)", + "World/Persian Gulf/YEM/Health/Current health expenditure (% of GDP)", + "World/Persian Gulf/ARE/Health/Current health expenditure per capita (current US$)", + "World/Latam/ARG/Health/Current health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Current health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Current health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Current health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Current health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Current health expenditure per capita (current US$)", + "World/South Africa/CMR/Health/Current health expenditure per capita (current US$)", + "World/Latam/COL/Health/Current health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Current health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Current health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Current health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Current health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Current health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Current health expenditure per capita (current US$)", + "World/South Africa/GHA/Health/Current health expenditure per capita (current US$)", + "World/Europe/GRC/Health/Current health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Current health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Current health expenditure per capita (current US$)", + "World/Asia/IND/Health/Current health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Current health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Current health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Current health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Current health expenditure per capita (current US$)", + "World/Latam/MEX/Health/Current health expenditure per capita (current US$)", + "World/South Africa/MOZ/Health/Current health expenditure per capita (current US$)", + "World/South Africa/NGA/Health/Current health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/OMN/Health/Current health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Current health expenditure per capita (current US$)", + "World/Latam/PER/Health/Current health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Current health expenditure per capita (current US$)", + "World/Europe/POL/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Current health expenditure per capita (current US$)", + "World/South Africa/SEN/Health/Current health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Current health expenditure per capita (current US$)", + "World/Asia/THA/Health/Current health expenditure per capita (current US$)", + "World/Pair/USA/Health/Current health expenditure per capita (current US$)", + "World/Latam/VEN/Health/Current health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Health/Current health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/BGD/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/CHL/Economy/Customs and other import duties (% of tax revenue)", + "World/Pair/CHN/Economy/Customs and other import duties (% of tax revenue)", + "World/South Africa/CMR/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/COL/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/CRI/Economy/Customs and other import duties (% of tax revenue)", + "World/North Africa/EGY/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/ESP/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/HRV/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/IND/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/KOR/Economy/Customs and other import duties (% of tax revenue)", + "World/North Africa/MAR/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/MEX/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/PAN/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/PER/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/POL/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/THA/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/BGD/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/CHL/Economy/Domestic credit to private sector (% of GDP)", + "World/Pair/CHN/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/CMR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/COL/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/CRI/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/DEU/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/DZA/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/EGY/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/FRA/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/GRC/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/HRV/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/IND/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/KOR/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/LBR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/MEX/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/OMN/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/PER/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/POL/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/QAT/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/SAU/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/SEN/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/SWE/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/TUR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/VEN/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/VNM/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/ARE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/AZE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/BGD/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/CHL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Pair/CHN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/CMR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/COL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/CRI/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/DEU/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/DZA/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/EGY/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/GRC/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/HRV/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/IND/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/KOR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/LBR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/MAR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/MEX/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/OMN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/PAN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/PER/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/POL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/QAT/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/SAU/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/SEN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/SWE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/TUR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/VEN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/VNM/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/ARG/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/COL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/GRC/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/IND/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/MEX/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/MOZ/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/OMN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/PER/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/POL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/THA/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/TUR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Pair/USA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/ARG/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Domestic private health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/CMR/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/COL/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/EGY/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/GHA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/IND/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/NGA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/PER/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/POL/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/SEN/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/THA/Health/Domestic private health expenditure per capita (current US$)", + "World/Pair/USA/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/AUT/Environment/Electric power consumption (kWh per capita)", + "World/Asia/BGD/Environment/Electric power consumption (kWh per capita)", + "World/Latam/BRA/Environment/Electric power consumption (kWh per capita)", + "World/Latam/CHL/Environment/Electric power consumption (kWh per capita)", + "World/Pair/CHN/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/CMR/Environment/Electric power consumption (kWh per capita)", + "World/Latam/COL/Environment/Electric power consumption (kWh per capita)", + "World/Latam/CRI/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/DZA/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/EGY/Environment/Electric power consumption (kWh per capita)", + "World/Europe/GBR/Environment/Electric power consumption (kWh per capita)", + "World/Europe/GRC/Environment/Electric power consumption (kWh per capita)", + "World/Europe/HRV/Environment/Electric power consumption (kWh per capita)", + "World/Asia/IDN/Environment/Electric power consumption (kWh per capita)", + "World/Asia/IND/Environment/Electric power consumption (kWh per capita)", + "World/Asia/KOR/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/MAR/Environment/Electric power consumption (kWh per capita)", + "World/Latam/MEX/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/MOZ/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/NGA/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/OMN/Environment/Electric power consumption (kWh per capita)", + "World/Latam/PAN/Environment/Electric power consumption (kWh per capita)", + "World/Latam/PER/Environment/Electric power consumption (kWh per capita)", + "World/Asia/PHL/Environment/Electric power consumption (kWh per capita)", + "World/Europe/POL/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/SAU/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/SEN/Environment/Electric power consumption (kWh per capita)", + "World/Europe/SWE/Environment/Electric power consumption (kWh per capita)", + "World/Asia/THA/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/TUR/Environment/Electric power consumption (kWh per capita)", + "World/Asia/VNM/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/YEM/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/ARE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/CHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/COL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/GHA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/LBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/MEX/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/NGA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/PAN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/PER/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/PHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/QAT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/TUR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/GRC/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/HRV/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/SAU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Pair/USA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/ARE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/CHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/COL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/GHA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/GRC/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/HRV/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/LBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/MEX/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/NGA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/PAN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/PER/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/PHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/THA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/TUR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Pair/USA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/BGD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Pair/CHN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/CMR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/CRI/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/DEU/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/DZA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/GBR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/GHA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/IDN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/IND/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/ISR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/KOR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/MEX/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/MOZ/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/NGA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/NLD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Persian Gulf/OMN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/PAN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/PER/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/PHL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/POL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/SWE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/THA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/TUR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Pair/USA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/VEN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/BGD/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/BRA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/CHL/Environment/Energy use (kg of oil equivalent per capita)", + "World/Pair/CHN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/CRI/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/GBR/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/IDN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/IND/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/KOR/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/MAR/Environment/Energy use (kg of oil equivalent per capita)", + "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent per capita)", + "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/NLD/Environment/Energy use (kg of oil equivalent per capita)", + "World/Persian Gulf/OMN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/PAN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/PER/Environment/Energy use (kg of oil equivalent per capita)", + "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/THA/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent per capita)", + "World/Pair/USA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/VNM/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/AUT/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/AZE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/BGD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Pair/CHN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/CMR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/COL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/CRI/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/DEU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/ESP/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/FRA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/GBR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/GHA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/HRV/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/IDN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/IND/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/ISR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/KOR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/MEX/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/NLD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/PAN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/PHL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/POL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/SWE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Pair/USA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/ZAF/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/ARE/Exports/Export unit value index (2000 = 100)", + "World/Europe/AUT/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export unit value index (2000 = 100)", + "World/Asia/BGD/Exports/Export unit value index (2000 = 100)", + "World/Latam/BRA/Exports/Export unit value index (2000 = 100)", + "World/Latam/CRI/Exports/Export unit value index (2000 = 100)", + "World/Europe/DEU/Exports/Export unit value index (2000 = 100)", + "World/North Africa/DZA/Exports/Export unit value index (2000 = 100)", + "World/Europe/ESP/Exports/Export unit value index (2000 = 100)", + "World/Europe/FRA/Exports/Export unit value index (2000 = 100)", + "World/South Africa/GHA/Exports/Export unit value index (2000 = 100)", + "World/Europe/GRC/Exports/Export unit value index (2000 = 100)", + "World/Europe/HRV/Exports/Export unit value index (2000 = 100)", + "World/Latam/MEX/Exports/Export unit value index (2000 = 100)", + "World/Europe/NLD/Exports/Export unit value index (2000 = 100)", + "World/Latam/PAN/Exports/Export unit value index (2000 = 100)", + "World/Europe/POL/Exports/Export unit value index (2000 = 100)", + "World/Europe/SWE/Exports/Export unit value index (2000 = 100)", + "World/Asia/THA/Exports/Export unit value index (2000 = 100)", + "World/Asia/VNM/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/YEM/Exports/Export unit value index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/ARE/Exports/Export value index (2000 = 100)", + "World/Europe/AUT/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export value index (2000 = 100)", + "World/Asia/BGD/Exports/Export value index (2000 = 100)", + "World/Latam/BRA/Exports/Export value index (2000 = 100)", + "World/Latam/CHL/Exports/Export value index (2000 = 100)", + "World/Pair/CHN/Exports/Export value index (2000 = 100)", + "World/Latam/COL/Exports/Export value index (2000 = 100)", + "World/Latam/CRI/Exports/Export value index (2000 = 100)", + "World/Europe/DEU/Exports/Export value index (2000 = 100)", + "World/North Africa/DZA/Exports/Export value index (2000 = 100)", + "World/Europe/ESP/Exports/Export value index (2000 = 100)", + "World/Europe/FRA/Exports/Export value index (2000 = 100)", + "World/Europe/GBR/Exports/Export value index (2000 = 100)", + "World/South Africa/GHA/Exports/Export value index (2000 = 100)", + "World/Asia/IDN/Exports/Export value index (2000 = 100)", + "World/Asia/IND/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/IRQ/Exports/Export value index (2000 = 100)", + "World/Asia/KOR/Exports/Export value index (2000 = 100)", + "World/North Africa/MAR/Exports/Export value index (2000 = 100)", + "World/Latam/MEX/Exports/Export value index (2000 = 100)", + "World/South Africa/MOZ/Exports/Export value index (2000 = 100)", + "World/Europe/NLD/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/OMN/Exports/Export value index (2000 = 100)", + "World/Latam/PAN/Exports/Export value index (2000 = 100)", + "World/Latam/PER/Exports/Export value index (2000 = 100)", + "World/Asia/PHL/Exports/Export value index (2000 = 100)", + "World/Europe/POL/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/QAT/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/SAU/Exports/Export value index (2000 = 100)", + "World/South Africa/SEN/Exports/Export value index (2000 = 100)", + "World/Europe/SWE/Exports/Export value index (2000 = 100)", + "World/Asia/THA/Exports/Export value index (2000 = 100)", + "World/North Africa/TUR/Exports/Export value index (2000 = 100)", + "World/Pair/USA/Exports/Export value index (2000 = 100)", + "World/Latam/VEN/Exports/Export value index (2000 = 100)", + "World/Asia/VNM/Exports/Export value index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/ARE/Exports/Export volume index (2000 = 100)", + "World/Europe/AUT/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export volume index (2000 = 100)", + "World/Asia/BGD/Exports/Export volume index (2000 = 100)", + "World/Latam/BRA/Exports/Export volume index (2000 = 100)", + "World/Latam/CHL/Exports/Export volume index (2000 = 100)", + "World/Pair/CHN/Exports/Export volume index (2000 = 100)", + "World/Latam/COL/Exports/Export volume index (2000 = 100)", + "World/Latam/CRI/Exports/Export volume index (2000 = 100)", + "World/Europe/ESP/Exports/Export volume index (2000 = 100)", + "World/South Africa/GHA/Exports/Export volume index (2000 = 100)", + "World/Europe/GRC/Exports/Export volume index (2000 = 100)", + "World/Asia/IDN/Exports/Export volume index (2000 = 100)", + "World/Asia/IND/Exports/Export volume index (2000 = 100)", + "World/North Africa/ISR/Exports/Export volume index (2000 = 100)", + "World/Asia/KOR/Exports/Export volume index (2000 = 100)", + "World/North Africa/MAR/Exports/Export volume index (2000 = 100)", + "World/Latam/MEX/Exports/Export volume index (2000 = 100)", + "World/South Africa/MOZ/Exports/Export volume index (2000 = 100)", + "World/Europe/NLD/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/OMN/Exports/Export volume index (2000 = 100)", + "World/Latam/PAN/Exports/Export volume index (2000 = 100)", + "World/Latam/PER/Exports/Export volume index (2000 = 100)", + "World/Asia/PHL/Exports/Export volume index (2000 = 100)", + "World/Europe/POL/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/QAT/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/SAU/Exports/Export volume index (2000 = 100)", + "World/Asia/THA/Exports/Export volume index (2000 = 100)", + "World/North Africa/TUR/Exports/Export volume index (2000 = 100)", + "World/Pair/USA/Exports/Export volume index (2000 = 100)", + "World/Latam/VEN/Exports/Export volume index (2000 = 100)", + "World/Asia/VNM/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/YEM/Exports/Export volume index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export volume index (2000 = 100)", + "World/Europe/AUT/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/AZE/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/BGD/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/BRA/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/CHL/Exports/Exports of goods and services (BoP, current US$)", + "World/Pair/CHN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/COL/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/CRI/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/DEU/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/ESP/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/FRA/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/GBR/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/GHA/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/HRV/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/IDN/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/IND/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/IRQ/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/ISR/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/KOR/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/MAR/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/MEX/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/MOZ/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/NLD/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/PAN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/PER/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/PHL/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/POL/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/SEN/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/SWE/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/THA/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/TUR/Exports/Exports of goods and services (BoP, current US$)", + "World/Pair/USA/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/VEN/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/VNM/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/ZAF/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/ARE/Exports/Exports of goods and services (current US$)", + "World/Europe/AUT/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/AZE/Exports/Exports of goods and services (current US$)", + "World/Asia/BGD/Exports/Exports of goods and services (current US$)", + "World/Latam/BRA/Exports/Exports of goods and services (current US$)", + "World/Latam/CHL/Exports/Exports of goods and services (current US$)", + "World/Pair/CHN/Exports/Exports of goods and services (current US$)", + "World/Latam/COL/Exports/Exports of goods and services (current US$)", + "World/Latam/CRI/Exports/Exports of goods and services (current US$)", + "World/Europe/DEU/Exports/Exports of goods and services (current US$)", + "World/North Africa/DZA/Exports/Exports of goods and services (current US$)", + "World/Europe/ESP/Exports/Exports of goods and services (current US$)", + "World/Europe/FRA/Exports/Exports of goods and services (current US$)", + "World/Europe/GBR/Exports/Exports of goods and services (current US$)", + "World/South Africa/GHA/Exports/Exports of goods and services (current US$)", + "World/Europe/HRV/Exports/Exports of goods and services (current US$)", + "World/Asia/IDN/Exports/Exports of goods and services (current US$)", + "World/Asia/IND/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/IRQ/Exports/Exports of goods and services (current US$)", + "World/North Africa/ISR/Exports/Exports of goods and services (current US$)", + "World/Asia/KOR/Exports/Exports of goods and services (current US$)", + "World/North Africa/MAR/Exports/Exports of goods and services (current US$)", + "World/Latam/MEX/Exports/Exports of goods and services (current US$)", + "World/South Africa/MOZ/Exports/Exports of goods and services (current US$)", + "World/Europe/NLD/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/OMN/Exports/Exports of goods and services (current US$)", + "World/Latam/PAN/Exports/Exports of goods and services (current US$)", + "World/Latam/PER/Exports/Exports of goods and services (current US$)", + "World/Asia/PHL/Exports/Exports of goods and services (current US$)", + "World/Europe/POL/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/QAT/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/SAU/Exports/Exports of goods and services (current US$)", + "World/South Africa/SEN/Exports/Exports of goods and services (current US$)", + "World/Europe/SWE/Exports/Exports of goods and services (current US$)", + "World/Asia/THA/Exports/Exports of goods and services (current US$)", + "World/North Africa/TUR/Exports/Exports of goods and services (current US$)", + "World/Pair/USA/Exports/Exports of goods and services (current US$)", + "World/Latam/VEN/Exports/Exports of goods and services (current US$)", + "World/Asia/VNM/Exports/Exports of goods and services (current US$)", + "World/South Africa/ZAF/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/ARE/Economy/Final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/Final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Final consumption expenditure (current US$)", + "World/Asia/BGD/Economy/Final consumption expenditure (current US$)", + "World/Latam/BRA/Economy/Final consumption expenditure (current US$)", + "World/Latam/CHL/Economy/Final consumption expenditure (current US$)", + "World/Pair/CHN/Economy/Final consumption expenditure (current US$)", + "World/South Africa/CMR/Economy/Final consumption expenditure (current US$)", + "World/Latam/COL/Economy/Final consumption expenditure (current US$)", + "World/Latam/CRI/Economy/Final consumption expenditure (current US$)", + "World/Europe/DEU/Economy/Final consumption expenditure (current US$)", + "World/North Africa/DZA/Economy/Final consumption expenditure (current US$)", + "World/North Africa/EGY/Economy/Final consumption expenditure (current US$)", + "World/Europe/ESP/Economy/Final consumption expenditure (current US$)", + "World/Europe/FRA/Economy/Final consumption expenditure (current US$)", + "World/Europe/GBR/Economy/Final consumption expenditure (current US$)", + "World/South Africa/GHA/Economy/Final consumption expenditure (current US$)", + "World/Europe/GRC/Economy/Final consumption expenditure (current US$)", + "World/Europe/HRV/Economy/Final consumption expenditure (current US$)", + "World/Asia/IDN/Economy/Final consumption expenditure (current US$)", + "World/Asia/IND/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/Final consumption expenditure (current US$)", + "World/North Africa/ISR/Economy/Final consumption expenditure (current US$)", + "World/Asia/KOR/Economy/Final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/Final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/Final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/Final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/Final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/Final consumption expenditure (current US$)", + "World/Latam/PER/Economy/Final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/Final consumption expenditure (current US$)", + "World/Europe/POL/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/Final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/Final consumption expenditure (current US$)", + "World/Asia/THA/Economy/Final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/Final consumption expenditure (current US$)", + "World/Pair/USA/Economy/Final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/Final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/Final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/Final consumption expenditure (current US$)", + "World/Latam/ARG/R&D/Firms offering formal training (% of firms)", + "World/Latam/CHL/R&D/Firms offering formal training (% of firms)", + "World/Latam/COL/R&D/Firms offering formal training (% of firms)", + "World/Latam/CRI/R&D/Firms offering formal training (% of firms)", + "World/North Africa/EGY/R&D/Firms offering formal training (% of firms)", + "World/South Africa/GHA/R&D/Firms offering formal training (% of firms)", + "World/Europe/GRC/R&D/Firms offering formal training (% of firms)", + "World/Europe/HRV/R&D/Firms offering formal training (% of firms)", + "World/Asia/IDN/R&D/Firms offering formal training (% of firms)", + "World/Asia/IND/R&D/Firms offering formal training (% of firms)", + "World/South Africa/LBR/R&D/Firms offering formal training (% of firms)", + "World/North Africa/MAR/R&D/Firms offering formal training (% of firms)", + "World/Latam/MEX/R&D/Firms offering formal training (% of firms)", + "World/South Africa/MOZ/R&D/Firms offering formal training (% of firms)", + "World/South Africa/NGA/R&D/Firms offering formal training (% of firms)", + "World/Latam/PAN/R&D/Firms offering formal training (% of firms)", + "World/Latam/PER/R&D/Firms offering formal training (% of firms)", + "World/Asia/PHL/R&D/Firms offering formal training (% of firms)", + "World/Europe/POL/R&D/Firms offering formal training (% of firms)", + "World/South Africa/SEN/R&D/Firms offering formal training (% of firms)", + "World/Asia/THA/R&D/Firms offering formal training (% of firms)", + "World/North Africa/TUR/R&D/Firms offering formal training (% of firms)", + "World/Latam/VEN/R&D/Firms offering formal training (% of firms)", + "World/Asia/VNM/R&D/Firms offering formal training (% of firms)", + "World/Persian Gulf/YEM/R&D/Firms offering formal training (% of firms)", + "World/South Africa/ZAF/R&D/Firms offering formal training (% of firms)", + "World/Latam/ARG/Economy/Firms using banks to finance investment (% of firms)", + "World/Persian Gulf/AZE/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/BGD/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/CHL/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/CMR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/COL/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/CRI/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/EGY/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/GHA/Economy/Firms using banks to finance investment (% of firms)", + "World/Europe/GRC/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/IDN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/IND/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/LBR/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/MAR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/MEX/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/MOZ/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/NGA/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/PAN/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/PER/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/PHL/Economy/Firms using banks to finance investment (% of firms)", + "World/Europe/POL/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/SEN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/THA/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/TUR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/VEN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/VNM/Economy/Firms using banks to finance investment (% of firms)", + "World/Persian Gulf/YEM/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/ZAF/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/ARG/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/AZE/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/BGD/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/CHL/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/CMR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/COL/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/CRI/Economy/Firms using banks to finance working capital (% of firms)", + "World/North Africa/EGY/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/GHA/Economy/Firms using banks to finance working capital (% of firms)", + "World/Europe/GRC/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/IDN/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/LBR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/MEX/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/MOZ/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/NGA/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/PAN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/PER/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/PHL/Economy/Firms using banks to finance working capital (% of firms)", + "World/Europe/POL/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/SEN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/THA/Economy/Firms using banks to finance working capital (% of firms)", + "World/North Africa/TUR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/VEN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/VNM/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/YEM/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/ZAF/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions", + "World/Latam/ARG/Internet/Fixed broadband subscriptions", + "World/Europe/AUT/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions", + "World/Asia/BGD/Internet/Fixed broadband subscriptions", + "World/Latam/BRA/Internet/Fixed broadband subscriptions", + "World/Latam/CHL/Internet/Fixed broadband subscriptions", + "World/Pair/CHN/Internet/Fixed broadband subscriptions", + "World/South Africa/CMR/Internet/Fixed broadband subscriptions", + "World/Latam/COL/Internet/Fixed broadband subscriptions", + "World/Latam/CRI/Internet/Fixed broadband subscriptions", + "World/Europe/DEU/Internet/Fixed broadband subscriptions", + "World/North Africa/DZA/Internet/Fixed broadband subscriptions", + "World/North Africa/EGY/Internet/Fixed broadband subscriptions", + "World/Europe/ESP/Internet/Fixed broadband subscriptions", + "World/Europe/FRA/Internet/Fixed broadband subscriptions", + "World/Europe/GBR/Internet/Fixed broadband subscriptions", + "World/South Africa/GHA/Internet/Fixed broadband subscriptions", + "World/Europe/GRC/Internet/Fixed broadband subscriptions", + "World/Europe/HRV/Internet/Fixed broadband subscriptions", + "World/Asia/IDN/Internet/Fixed broadband subscriptions", + "World/Asia/IND/Internet/Fixed broadband subscriptions", + "World/North Africa/ISR/Internet/Fixed broadband subscriptions", + "World/Asia/KOR/Internet/Fixed broadband subscriptions", + "World/South Africa/LBR/Internet/Fixed broadband subscriptions", + "World/North Africa/MAR/Internet/Fixed broadband subscriptions", + "World/Latam/MEX/Internet/Fixed broadband subscriptions", + "World/South Africa/MOZ/Internet/Fixed broadband subscriptions", + "World/Europe/NLD/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions", + "World/Latam/PAN/Internet/Fixed broadband subscriptions", + "World/Latam/PER/Internet/Fixed broadband subscriptions", + "World/Asia/PHL/Internet/Fixed broadband subscriptions", + "World/Europe/POL/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions", + "World/South Africa/SEN/Internet/Fixed broadband subscriptions", + "World/Europe/SWE/Internet/Fixed broadband subscriptions", + "World/Asia/THA/Internet/Fixed broadband subscriptions", + "World/North Africa/TUR/Internet/Fixed broadband subscriptions", + "World/Pair/USA/Internet/Fixed broadband subscriptions", + "World/Latam/VEN/Internet/Fixed broadband subscriptions", + "World/Asia/VNM/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions", + "World/South Africa/ZAF/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/ARG/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/AUT/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/BGD/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/BRA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/CHL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Pair/CHN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/CMR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/COL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/CRI/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/DEU/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/DZA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/EGY/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/ESP/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/FRA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/GBR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/GHA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/GRC/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/HRV/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/IDN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/IND/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/ISR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/KOR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/LBR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/MAR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/MEX/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/MOZ/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/NLD/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/PAN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/PER/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/PHL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/POL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/SEN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/SWE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/THA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/TUR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Pair/USA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/VEN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/VNM/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/ZAF/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/ARE/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/AZE/Industry/Food production index (2014-2016 = 100)", + "World/Asia/BGD/Industry/Food production index (2014-2016 = 100)", + "World/Latam/BRA/Industry/Food production index (2014-2016 = 100)", + "World/Latam/CHL/Industry/Food production index (2014-2016 = 100)", + "World/Pair/CHN/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/CMR/Industry/Food production index (2014-2016 = 100)", + "World/Latam/COL/Industry/Food production index (2014-2016 = 100)", + "World/Latam/CRI/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/DZA/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/EGY/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/GHA/Industry/Food production index (2014-2016 = 100)", + "World/Asia/IDN/Industry/Food production index (2014-2016 = 100)", + "World/Asia/IND/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/ISR/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/LBR/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/MAR/Industry/Food production index (2014-2016 = 100)", + "World/Latam/MEX/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/MOZ/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/NGA/Industry/Food production index (2014-2016 = 100)", + "World/Europe/NLD/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Industry/Food production index (2014-2016 = 100)", + "World/Latam/PAN/Industry/Food production index (2014-2016 = 100)", + "World/Latam/PER/Industry/Food production index (2014-2016 = 100)", + "World/Asia/PHL/Industry/Food production index (2014-2016 = 100)", + "World/Europe/POL/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/SAU/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/SEN/Industry/Food production index (2014-2016 = 100)", + "World/Asia/THA/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/TUR/Industry/Food production index (2014-2016 = 100)", + "World/Pair/USA/Industry/Food production index (2014-2016 = 100)", + "World/Asia/VNM/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/ZAF/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/ARE/Demography/Forest area (% of land area)", + "World/Latam/ARG/Demography/Forest area (% of land area)", + "World/Europe/AUT/Demography/Forest area (% of land area)", + "World/Persian Gulf/AZE/Demography/Forest area (% of land area)", + "World/Asia/BGD/Demography/Forest area (% of land area)", + "World/Latam/BRA/Demography/Forest area (% of land area)", + "World/Latam/CHL/Demography/Forest area (% of land area)", + "World/Pair/CHN/Demography/Forest area (% of land area)", + "World/South Africa/CMR/Demography/Forest area (% of land area)", + "World/Latam/COL/Demography/Forest area (% of land area)", + "World/Latam/CRI/Demography/Forest area (% of land area)", + "World/North Africa/DZA/Demography/Forest area (% of land area)", + "World/North Africa/EGY/Demography/Forest area (% of land area)", + "World/Europe/ESP/Demography/Forest area (% of land area)", + "World/Europe/FRA/Demography/Forest area (% of land area)", + "World/Europe/GBR/Demography/Forest area (% of land area)", + "World/Europe/GRC/Demography/Forest area (% of land area)", + "World/Europe/HRV/Demography/Forest area (% of land area)", + "World/Asia/IDN/Demography/Forest area (% of land area)", + "World/Asia/IND/Demography/Forest area (% of land area)", + "World/Asia/KOR/Demography/Forest area (% of land area)", + "World/South Africa/LBR/Demography/Forest area (% of land area)", + "World/North Africa/MAR/Demography/Forest area (% of land area)", + "World/Latam/MEX/Demography/Forest area (% of land area)", + "World/South Africa/MOZ/Demography/Forest area (% of land area)", + "World/South Africa/NGA/Demography/Forest area (% of land area)", + "World/Europe/NLD/Demography/Forest area (% of land area)", + "World/Latam/PAN/Demography/Forest area (% of land area)", + "World/Latam/PER/Demography/Forest area (% of land area)", + "World/Europe/POL/Demography/Forest area (% of land area)", + "World/South Africa/SEN/Demography/Forest area (% of land area)", + "World/North Africa/TUR/Demography/Forest area (% of land area)", + "World/Pair/USA/Demography/Forest area (% of land area)", + "World/Latam/VEN/Demography/Forest area (% of land area)", + "World/Asia/VNM/Demography/Forest area (% of land area)", + "World/South Africa/ZAF/Demography/Forest area (% of land area)", + "World/Persian Gulf/ARE/Principal/GDP deflator (base year varies by country)", + "World/Europe/AUT/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/AZE/Principal/GDP deflator (base year varies by country)", + "World/Asia/BGD/Principal/GDP deflator (base year varies by country)", + "World/Latam/BRA/Principal/GDP deflator (base year varies by country)", + "World/Latam/CHL/Principal/GDP deflator (base year varies by country)", + "World/Pair/CHN/Principal/GDP deflator (base year varies by country)", + "World/South Africa/CMR/Principal/GDP deflator (base year varies by country)", + "World/Latam/COL/Principal/GDP deflator (base year varies by country)", + "World/Latam/CRI/Principal/GDP deflator (base year varies by country)", + "World/Europe/DEU/Principal/GDP deflator (base year varies by country)", + "World/North Africa/DZA/Principal/GDP deflator (base year varies by country)", + "World/North Africa/EGY/Principal/GDP deflator (base year varies by country)", + "World/Europe/ESP/Principal/GDP deflator (base year varies by country)", + "World/Europe/FRA/Principal/GDP deflator (base year varies by country)", + "World/Europe/GBR/Principal/GDP deflator (base year varies by country)", + "World/South Africa/GHA/Principal/GDP deflator (base year varies by country)", + "World/Europe/GRC/Principal/GDP deflator (base year varies by country)", + "World/Europe/HRV/Principal/GDP deflator (base year varies by country)", + "World/Asia/IDN/Principal/GDP deflator (base year varies by country)", + "World/Asia/IND/Principal/GDP deflator (base year varies by country)", + "World/North Africa/ISR/Principal/GDP deflator (base year varies by country)", + "World/Asia/KOR/Principal/GDP deflator (base year varies by country)", + "World/South Africa/LBR/Principal/GDP deflator (base year varies by country)", + "World/North Africa/MAR/Principal/GDP deflator (base year varies by country)", + "World/Latam/MEX/Principal/GDP deflator (base year varies by country)", + "World/South Africa/MOZ/Principal/GDP deflator (base year varies by country)", + "World/South Africa/NGA/Principal/GDP deflator (base year varies by country)", + "World/Europe/NLD/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/OMN/Principal/GDP deflator (base year varies by country)", + "World/Latam/PAN/Principal/GDP deflator (base year varies by country)", + "World/Latam/PER/Principal/GDP deflator (base year varies by country)", + "World/Asia/PHL/Principal/GDP deflator (base year varies by country)", + "World/Europe/POL/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/QAT/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/SAU/Principal/GDP deflator (base year varies by country)", + "World/South Africa/SEN/Principal/GDP deflator (base year varies by country)", + "World/Asia/THA/Principal/GDP deflator (base year varies by country)", + "World/North Africa/TUR/Principal/GDP deflator (base year varies by country)", + "World/Pair/USA/Principal/GDP deflator (base year varies by country)", + "World/Latam/VEN/Principal/GDP deflator (base year varies by country)", + "World/Asia/VNM/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/YEM/Principal/GDP deflator (base year varies by country)", + "World/South Africa/ZAF/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/ARE/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/AUT/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/AZE/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/BGD/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/BRA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/CHL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Pair/CHN/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/CMR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/COL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/CRI/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/DEU/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/DZA/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/EGY/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/ESP/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/FRA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/GBR/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/GHA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/GRC/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/HRV/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/IDN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/IND/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/ISR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/KOR/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/LBR/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/MAR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/MEX/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/MOZ/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/NGA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/NLD/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/OMN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/PAN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/PER/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/PHL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/POL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/QAT/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/SAU/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/SEN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/THA/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/TUR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Pair/USA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/VEN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/VNM/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/YEM/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/ZAF/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/ARE/Principal/GDP per capita (current US$)", + "World/Latam/ARG/Principal/GDP per capita (current US$)", + "World/Europe/AUT/Principal/GDP per capita (current US$)", + "World/Persian Gulf/AZE/Principal/GDP per capita (current US$)", + "World/Asia/BGD/Principal/GDP per capita (current US$)", + "World/Latam/BRA/Principal/GDP per capita (current US$)", + "World/Latam/CHL/Principal/GDP per capita (current US$)", + "World/Pair/CHN/Principal/GDP per capita (current US$)", + "World/South Africa/CMR/Principal/GDP per capita (current US$)", + "World/Latam/COL/Principal/GDP per capita (current US$)", + "World/Latam/CRI/Principal/GDP per capita (current US$)", + "World/Europe/DEU/Principal/GDP per capita (current US$)", + "World/North Africa/DZA/Principal/GDP per capita (current US$)", + "World/North Africa/EGY/Principal/GDP per capita (current US$)", + "World/Europe/ESP/Principal/GDP per capita (current US$)", + "World/Europe/FRA/Principal/GDP per capita (current US$)", + "World/Europe/GBR/Principal/GDP per capita (current US$)", + "World/South Africa/GHA/Principal/GDP per capita (current US$)", + "World/Europe/GRC/Principal/GDP per capita (current US$)", + "World/Europe/HRV/Principal/GDP per capita (current US$)", + "World/Asia/IDN/Principal/GDP per capita (current US$)", + "World/Asia/IND/Principal/GDP per capita (current US$)", + "World/Persian Gulf/IRQ/Principal/GDP per capita (current US$)", + "World/North Africa/ISR/Principal/GDP per capita (current US$)", + "World/Asia/KOR/Principal/GDP per capita (current US$)", + "World/North Africa/MAR/Principal/GDP per capita (current US$)", + "World/Latam/MEX/Principal/GDP per capita (current US$)", + "World/South Africa/MOZ/Principal/GDP per capita (current US$)", + "World/South Africa/NGA/Principal/GDP per capita (current US$)", + "World/Europe/NLD/Principal/GDP per capita (current US$)", + "World/Persian Gulf/OMN/Principal/GDP per capita (current US$)", + "World/Latam/PAN/Principal/GDP per capita (current US$)", + "World/Latam/PER/Principal/GDP per capita (current US$)", + "World/Asia/PHL/Principal/GDP per capita (current US$)", + "World/Europe/POL/Principal/GDP per capita (current US$)", + "World/Persian Gulf/QAT/Principal/GDP per capita (current US$)", + "World/Persian Gulf/SAU/Principal/GDP per capita (current US$)", + "World/South Africa/SEN/Principal/GDP per capita (current US$)", + "World/Europe/SWE/Principal/GDP per capita (current US$)", + "World/Asia/THA/Principal/GDP per capita (current US$)", + "World/North Africa/TUR/Principal/GDP per capita (current US$)", + "World/Pair/USA/Principal/GDP per capita (current US$)", + "World/Latam/VEN/Principal/GDP per capita (current US$)", + "World/Asia/VNM/Principal/GDP per capita (current US$)", + "World/Persian Gulf/YEM/Principal/GDP per capita (current US$)", + "World/South Africa/ZAF/Principal/GDP per capita (current US$)", + "World/Persian Gulf/ARE/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/ARG/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/AZE/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/BGD/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/BRA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/CHL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Pair/CHN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/CMR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/COL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/CRI/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/EGY/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/FRA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/GBR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/GHA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/GRC/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/IDN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/IND/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/ISR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/KOR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/MAR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/MOZ/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/NGA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/OMN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/PAN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/PER/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/PHL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/POL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/QAT/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/SAU/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/SEN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/THA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/TUR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Pair/USA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/VNM/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/ZAF/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/ARG/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/AUT/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Persian Gulf/AZE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/BGD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/BRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/CHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Pair/CHN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/CMR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/COL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/CRI/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/DEU/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/EGY/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/ESP/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/FRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/GBR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/GHA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/HRV/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/IDN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/IND/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/ISR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/KOR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/MAR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/MEX/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/MOZ/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/NGA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/NLD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/PAN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/PHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/POL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/SWE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/THA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/TUR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Pair/USA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/VNM/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/ZAF/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/AUT/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/AZE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/BGD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Pair/CHN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/CMR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/COL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/CRI/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/DEU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/DZA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/ESP/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/FRA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/GBR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/GHA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/HRV/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/IDN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/IND/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/ISR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/KOR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/MEX/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/MOZ/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/NGA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/NLD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/PAN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/PHL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/POL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/SAU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/SWE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/TUR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Pair/USA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/ZAF/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/ARE/Economy/GNI (current US$)", + "World/Latam/ARG/Economy/GNI (current US$)", + "World/Europe/AUT/Economy/GNI (current US$)", + "World/Persian Gulf/AZE/Economy/GNI (current US$)", + "World/Asia/BGD/Economy/GNI (current US$)", + "World/Latam/BRA/Economy/GNI (current US$)", + "World/Latam/CHL/Economy/GNI (current US$)", + "World/Pair/CHN/Economy/GNI (current US$)", + "World/South Africa/CMR/Economy/GNI (current US$)", + "World/Latam/COL/Economy/GNI (current US$)", + "World/Latam/CRI/Economy/GNI (current US$)", + "World/Europe/DEU/Economy/GNI (current US$)", + "World/North Africa/DZA/Economy/GNI (current US$)", + "World/North Africa/EGY/Economy/GNI (current US$)", + "World/Europe/ESP/Economy/GNI (current US$)", + "World/Europe/FRA/Economy/GNI (current US$)", + "World/Europe/GBR/Economy/GNI (current US$)", + "World/South Africa/GHA/Economy/GNI (current US$)", + "World/Europe/HRV/Economy/GNI (current US$)", + "World/Asia/IDN/Economy/GNI (current US$)", + "World/Asia/IND/Economy/GNI (current US$)", + "World/Persian Gulf/IRQ/Economy/GNI (current US$)", + "World/North Africa/ISR/Economy/GNI (current US$)", + "World/Asia/KOR/Economy/GNI (current US$)", + "World/South Africa/LBR/Economy/GNI (current US$)", + "World/North Africa/MAR/Economy/GNI (current US$)", + "World/Latam/MEX/Economy/GNI (current US$)", + "World/South Africa/MOZ/Economy/GNI (current US$)", + "World/South Africa/NGA/Economy/GNI (current US$)", + "World/Europe/NLD/Economy/GNI (current US$)", + "World/Persian Gulf/OMN/Economy/GNI (current US$)", + "World/Latam/PAN/Economy/GNI (current US$)", + "World/Latam/PER/Economy/GNI (current US$)", + "World/Asia/PHL/Economy/GNI (current US$)", + "World/Europe/POL/Economy/GNI (current US$)", + "World/Persian Gulf/QAT/Economy/GNI (current US$)", + "World/Persian Gulf/SAU/Economy/GNI (current US$)", + "World/South Africa/SEN/Economy/GNI (current US$)", + "World/Europe/SWE/Economy/GNI (current US$)", + "World/Asia/THA/Economy/GNI (current US$)", + "World/North Africa/TUR/Economy/GNI (current US$)", + "World/Pair/USA/Economy/GNI (current US$)", + "World/Latam/VEN/Economy/GNI (current US$)", + "World/Asia/VNM/Economy/GNI (current US$)", + "World/Persian Gulf/YEM/Economy/GNI (current US$)", + "World/South Africa/ZAF/Economy/GNI (current US$)", + "World/Persian Gulf/ARE/Economy/General government final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/General government final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/General government final consumption expenditure (current US$)", + "World/Asia/BGD/Economy/General government final consumption expenditure (current US$)", + "World/Latam/BRA/Economy/General government final consumption expenditure (current US$)", + "World/Latam/CHL/Economy/General government final consumption expenditure (current US$)", + "World/Pair/CHN/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/CMR/Economy/General government final consumption expenditure (current US$)", + "World/Latam/COL/Economy/General government final consumption expenditure (current US$)", + "World/Latam/CRI/Economy/General government final consumption expenditure (current US$)", + "World/Europe/DEU/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/DZA/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/EGY/Economy/General government final consumption expenditure (current US$)", + "World/Europe/ESP/Economy/General government final consumption expenditure (current US$)", + "World/Europe/FRA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/GBR/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/GHA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/GRC/Economy/General government final consumption expenditure (current US$)", + "World/Europe/HRV/Economy/General government final consumption expenditure (current US$)", + "World/Asia/IDN/Economy/General government final consumption expenditure (current US$)", + "World/Asia/IND/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/ISR/Economy/General government final consumption expenditure (current US$)", + "World/Asia/KOR/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/General government final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/General government final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/General government final consumption expenditure (current US$)", + "World/Latam/PER/Economy/General government final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/General government final consumption expenditure (current US$)", + "World/Europe/POL/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/General government final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/General government final consumption expenditure (current US$)", + "World/Asia/THA/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/General government final consumption expenditure (current US$)", + "World/Pair/USA/Economy/General government final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/General government final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/General government final consumption expenditure (current US$)", + "World/Europe/AUT/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/AZE/Exports/Goods exports (BoP, current US$)", + "World/Asia/BGD/Exports/Goods exports (BoP, current US$)", + "World/Latam/BRA/Exports/Goods exports (BoP, current US$)", + "World/Latam/CHL/Exports/Goods exports (BoP, current US$)", + "World/Pair/CHN/Exports/Goods exports (BoP, current US$)", + "World/Latam/COL/Exports/Goods exports (BoP, current US$)", + "World/Latam/CRI/Exports/Goods exports (BoP, current US$)", + "World/Europe/DEU/Exports/Goods exports (BoP, current US$)", + "World/Europe/ESP/Exports/Goods exports (BoP, current US$)", + "World/Europe/FRA/Exports/Goods exports (BoP, current US$)", + "World/Europe/GBR/Exports/Goods exports (BoP, current US$)", + "World/South Africa/GHA/Exports/Goods exports (BoP, current US$)", + "World/Asia/IDN/Exports/Goods exports (BoP, current US$)", + "World/Asia/IND/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/IRQ/Exports/Goods exports (BoP, current US$)", + "World/North Africa/ISR/Exports/Goods exports (BoP, current US$)", + "World/Asia/KOR/Exports/Goods exports (BoP, current US$)", + "World/South Africa/LBR/Exports/Goods exports (BoP, current US$)", + "World/North Africa/MAR/Exports/Goods exports (BoP, current US$)", + "World/Latam/MEX/Exports/Goods exports (BoP, current US$)", + "World/South Africa/MOZ/Exports/Goods exports (BoP, current US$)", + "World/Europe/NLD/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/Goods exports (BoP, current US$)", + "World/Latam/PER/Exports/Goods exports (BoP, current US$)", + "World/Asia/PHL/Exports/Goods exports (BoP, current US$)", + "World/Europe/POL/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/Goods exports (BoP, current US$)", + "World/South Africa/SEN/Exports/Goods exports (BoP, current US$)", + "World/Europe/SWE/Exports/Goods exports (BoP, current US$)", + "World/Asia/THA/Exports/Goods exports (BoP, current US$)", + "World/North Africa/TUR/Exports/Goods exports (BoP, current US$)", + "World/Pair/USA/Exports/Goods exports (BoP, current US$)", + "World/Latam/VEN/Exports/Goods exports (BoP, current US$)", + "World/Asia/VNM/Exports/Goods exports (BoP, current US$)", + "World/South Africa/ZAF/Exports/Goods exports (BoP, current US$)", + "World/Latam/ARG/Imports/Goods imports (BoP, current US$)", + "World/Europe/AUT/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/AZE/Imports/Goods imports (BoP, current US$)", + "World/Asia/BGD/Imports/Goods imports (BoP, current US$)", + "World/Latam/BRA/Imports/Goods imports (BoP, current US$)", + "World/Latam/CHL/Imports/Goods imports (BoP, current US$)", + "World/Pair/CHN/Imports/Goods imports (BoP, current US$)", + "World/Latam/COL/Imports/Goods imports (BoP, current US$)", + "World/Latam/CRI/Imports/Goods imports (BoP, current US$)", + "World/Europe/DEU/Imports/Goods imports (BoP, current US$)", + "World/North Africa/DZA/Imports/Goods imports (BoP, current US$)", + "World/North Africa/EGY/Imports/Goods imports (BoP, current US$)", + "World/Europe/ESP/Imports/Goods imports (BoP, current US$)", + "World/Europe/FRA/Imports/Goods imports (BoP, current US$)", + "World/Europe/GBR/Imports/Goods imports (BoP, current US$)", + "World/South Africa/GHA/Imports/Goods imports (BoP, current US$)", + "World/Europe/GRC/Imports/Goods imports (BoP, current US$)", + "World/Europe/HRV/Imports/Goods imports (BoP, current US$)", + "World/Asia/IDN/Imports/Goods imports (BoP, current US$)", + "World/Asia/IND/Imports/Goods imports (BoP, current US$)", + "World/North Africa/ISR/Imports/Goods imports (BoP, current US$)", + "World/Asia/KOR/Imports/Goods imports (BoP, current US$)", + "World/South Africa/LBR/Imports/Goods imports (BoP, current US$)", + "World/North Africa/MAR/Imports/Goods imports (BoP, current US$)", + "World/Latam/MEX/Imports/Goods imports (BoP, current US$)", + "World/South Africa/MOZ/Imports/Goods imports (BoP, current US$)", + "World/South Africa/NGA/Imports/Goods imports (BoP, current US$)", + "World/Europe/NLD/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Goods imports (BoP, current US$)", + "World/Latam/PER/Imports/Goods imports (BoP, current US$)", + "World/Asia/PHL/Imports/Goods imports (BoP, current US$)", + "World/Europe/POL/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/SAU/Imports/Goods imports (BoP, current US$)", + "World/South Africa/SEN/Imports/Goods imports (BoP, current US$)", + "World/Europe/SWE/Imports/Goods imports (BoP, current US$)", + "World/Asia/THA/Imports/Goods imports (BoP, current US$)", + "World/North Africa/TUR/Imports/Goods imports (BoP, current US$)", + "World/Pair/USA/Imports/Goods imports (BoP, current US$)", + "World/Asia/VNM/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/YEM/Imports/Goods imports (BoP, current US$)", + "World/South Africa/ZAF/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/ARE/Economy/Gross capital formation (current US$)", + "World/Latam/ARG/Economy/Gross capital formation (current US$)", + "World/Europe/AUT/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/AZE/Economy/Gross capital formation (current US$)", + "World/Asia/BGD/Economy/Gross capital formation (current US$)", + "World/Latam/BRA/Economy/Gross capital formation (current US$)", + "World/Latam/CHL/Economy/Gross capital formation (current US$)", + "World/Pair/CHN/Economy/Gross capital formation (current US$)", + "World/South Africa/CMR/Economy/Gross capital formation (current US$)", + "World/Latam/COL/Economy/Gross capital formation (current US$)", + "World/Latam/CRI/Economy/Gross capital formation (current US$)", + "World/Europe/DEU/Economy/Gross capital formation (current US$)", + "World/North Africa/DZA/Economy/Gross capital formation (current US$)", + "World/North Africa/EGY/Economy/Gross capital formation (current US$)", + "World/Europe/ESP/Economy/Gross capital formation (current US$)", + "World/Europe/FRA/Economy/Gross capital formation (current US$)", + "World/Europe/GBR/Economy/Gross capital formation (current US$)", + "World/South Africa/GHA/Economy/Gross capital formation (current US$)", + "World/Europe/HRV/Economy/Gross capital formation (current US$)", + "World/Asia/IDN/Economy/Gross capital formation (current US$)", + "World/Asia/IND/Economy/Gross capital formation (current US$)", + "World/North Africa/ISR/Economy/Gross capital formation (current US$)", + "World/Asia/KOR/Economy/Gross capital formation (current US$)", + "World/North Africa/MAR/Economy/Gross capital formation (current US$)", + "World/Latam/MEX/Economy/Gross capital formation (current US$)", + "World/South Africa/MOZ/Economy/Gross capital formation (current US$)", + "World/South Africa/NGA/Economy/Gross capital formation (current US$)", + "World/Europe/NLD/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/OMN/Economy/Gross capital formation (current US$)", + "World/Latam/PAN/Economy/Gross capital formation (current US$)", + "World/Latam/PER/Economy/Gross capital formation (current US$)", + "World/Asia/PHL/Economy/Gross capital formation (current US$)", + "World/Europe/POL/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/QAT/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/SAU/Economy/Gross capital formation (current US$)", + "World/South Africa/SEN/Economy/Gross capital formation (current US$)", + "World/Europe/SWE/Economy/Gross capital formation (current US$)", + "World/Asia/THA/Economy/Gross capital formation (current US$)", + "World/North Africa/TUR/Economy/Gross capital formation (current US$)", + "World/Pair/USA/Economy/Gross capital formation (current US$)", + "World/Latam/VEN/Economy/Gross capital formation (current US$)", + "World/Asia/VNM/Economy/Gross capital formation (current US$)", + "World/South Africa/ZAF/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/ARE/Economy/Gross domestic savings (current US$)", + "World/Latam/ARG/Economy/Gross domestic savings (current US$)", + "World/Europe/AUT/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/AZE/Economy/Gross domestic savings (current US$)", + "World/Asia/BGD/Economy/Gross domestic savings (current US$)", + "World/Latam/BRA/Economy/Gross domestic savings (current US$)", + "World/Latam/CHL/Economy/Gross domestic savings (current US$)", + "World/Pair/CHN/Economy/Gross domestic savings (current US$)", + "World/South Africa/CMR/Economy/Gross domestic savings (current US$)", + "World/Latam/COL/Economy/Gross domestic savings (current US$)", + "World/Latam/CRI/Economy/Gross domestic savings (current US$)", + "World/Europe/DEU/Economy/Gross domestic savings (current US$)", + "World/North Africa/DZA/Economy/Gross domestic savings (current US$)", + "World/Europe/ESP/Economy/Gross domestic savings (current US$)", + "World/Europe/FRA/Economy/Gross domestic savings (current US$)", + "World/Europe/GBR/Economy/Gross domestic savings (current US$)", + "World/Europe/HRV/Economy/Gross domestic savings (current US$)", + "World/Asia/IDN/Economy/Gross domestic savings (current US$)", + "World/Asia/IND/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/IRQ/Economy/Gross domestic savings (current US$)", + "World/North Africa/ISR/Economy/Gross domestic savings (current US$)", + "World/Asia/KOR/Economy/Gross domestic savings (current US$)", + "World/North Africa/MAR/Economy/Gross domestic savings (current US$)", + "World/Latam/MEX/Economy/Gross domestic savings (current US$)", + "World/South Africa/NGA/Economy/Gross domestic savings (current US$)", + "World/Europe/NLD/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/OMN/Economy/Gross domestic savings (current US$)", + "World/Latam/PAN/Economy/Gross domestic savings (current US$)", + "World/Latam/PER/Economy/Gross domestic savings (current US$)", + "World/Asia/PHL/Economy/Gross domestic savings (current US$)", + "World/Europe/POL/Economy/Gross domestic savings (current US$)", + "World/Persian 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"World/Latam/BRA/Economy/Gross fixed capital formation (current US$)", + "World/Latam/CHL/Economy/Gross fixed capital formation (current US$)", + "World/Pair/CHN/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/CMR/Economy/Gross fixed capital formation (current US$)", + "World/Latam/COL/Economy/Gross fixed capital formation (current US$)", + "World/Latam/CRI/Economy/Gross fixed capital formation (current US$)", + "World/Europe/DEU/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/DZA/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/EGY/Economy/Gross fixed capital formation (current US$)", + "World/Europe/FRA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/GBR/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/GHA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/HRV/Economy/Gross fixed capital formation (current US$)", + "World/Asia/IDN/Economy/Gross fixed capital formation (current US$)", + "World/Asia/IND/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/ISR/Economy/Gross fixed capital formation (current US$)", + "World/Asia/KOR/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/MAR/Economy/Gross fixed capital formation (current US$)", + "World/Latam/MEX/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/MOZ/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/NGA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/NLD/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/OMN/Economy/Gross fixed capital formation (current US$)", + "World/Latam/PAN/Economy/Gross fixed capital formation (current US$)", + "World/Latam/PER/Economy/Gross fixed capital formation (current US$)", + "World/Asia/PHL/Economy/Gross fixed capital formation (current US$)", + "World/Europe/POL/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/SAU/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/SEN/Economy/Gross fixed capital formation (current US$)", + "World/Europe/SWE/Economy/Gross fixed capital formation (current US$)", + "World/Asia/THA/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/TUR/Economy/Gross fixed capital formation (current US$)", + "World/Pair/USA/Economy/Gross fixed capital formation (current US$)", + "World/Latam/VEN/Economy/Gross fixed capital formation (current US$)", + "World/Asia/VNM/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/ZAF/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/ARE/Economy/Gross national expenditure (current US$)", + "World/Latam/ARG/Economy/Gross national expenditure (current US$)", + "World/Europe/AUT/Economy/Gross national expenditure (current US$)", + "World/Persian 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"World/South Africa/GHA/Economy/Gross national expenditure (current US$)", + "World/Europe/GRC/Economy/Gross national expenditure (current US$)", + "World/Europe/HRV/Economy/Gross national expenditure (current US$)", + "World/Asia/IDN/Economy/Gross national expenditure (current US$)", + "World/Asia/IND/Economy/Gross national expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/Gross national expenditure (current US$)", + "World/North Africa/ISR/Economy/Gross national expenditure (current US$)", + "World/Asia/KOR/Economy/Gross national expenditure (current US$)", + "World/North Africa/MAR/Economy/Gross national expenditure (current US$)", + "World/Latam/MEX/Economy/Gross national expenditure (current US$)", + "World/South Africa/MOZ/Economy/Gross national expenditure (current US$)", + "World/South Africa/NGA/Economy/Gross national expenditure (current US$)", + "World/Europe/NLD/Economy/Gross national expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Gross national 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Africa/MOZ/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/NGA/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/NLD/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Persian Gulf/OMN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Latam/PAN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Latam/PER/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/POL/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Persian Gulf/SAU/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/SEN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/SWE/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/North Africa/TUR/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Pair/USA/Economy/Gross value added at basic 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"World/Latam/MEX/Health/Hospital beds (per 1,000 people)", + "World/South Africa/MOZ/Health/Hospital beds (per 1,000 people)", + "World/South Africa/NGA/Health/Hospital beds (per 1,000 people)", + "World/Europe/NLD/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/OMN/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/SAU/Health/Hospital beds (per 1,000 people)", + "World/North Africa/TUR/Health/Hospital beds (per 1,000 people)", + "World/Pair/USA/Health/Hospital beds (per 1,000 people)", + "World/South Africa/ZAF/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/ARE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + 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"World/Asia/KOR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/PER/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/POL/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/THA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Pair/USA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/AUT/Exports/ICT service exports (BoP, current US$)", + "World/Asia/BGD/Exports/ICT service exports (BoP, current US$)", + "World/Latam/CHL/Exports/ICT service exports (BoP, current US$)", + "World/Pair/CHN/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/CMR/Exports/ICT service exports (BoP, current US$)", + "World/Latam/CRI/Exports/ICT service exports (BoP, current US$)", + "World/Europe/DEU/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/DZA/Exports/ICT service exports (BoP, current US$)", + "World/Europe/ESP/Exports/ICT service exports (BoP, current US$)", + "World/Europe/GBR/Exports/ICT service exports (BoP, current US$)", + "World/Europe/GRC/Exports/ICT service exports (BoP, current US$)", + "World/Europe/HRV/Exports/ICT service exports (BoP, current US$)", + "World/Asia/IND/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/ISR/Exports/ICT service exports (BoP, current US$)", + "World/Asia/KOR/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/MAR/Exports/ICT service exports (BoP, current US$)", + "World/Latam/MEX/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/NGA/Exports/ICT service exports (BoP, current US$)", + "World/Europe/NLD/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/ICT service exports (BoP, current US$)", + "World/Latam/PAN/Exports/ICT service exports (BoP, current US$)", + "World/Europe/POL/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/QAT/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/ICT service exports (BoP, current US$)", + "World/Europe/SWE/Exports/ICT service exports (BoP, current US$)", + "World/Asia/THA/Exports/ICT service exports (BoP, current US$)", + "World/Pair/USA/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/ZAF/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/ARE/Imports/Import unit value index (2000 = 100)", + "World/Europe/AUT/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import unit value index (2000 = 100)", + "World/Asia/BGD/Imports/Import unit value index (2000 = 100)", + "World/Latam/CRI/Imports/Import unit value index (2000 = 100)", + "World/Europe/DEU/Imports/Import unit value index (2000 = 100)", + "World/North Africa/EGY/Imports/Import unit value index (2000 = 100)", + "World/Europe/ESP/Imports/Import unit value index (2000 = 100)", + "World/Europe/FRA/Imports/Import unit value index (2000 = 100)", + "World/Europe/GRC/Imports/Import unit value index (2000 = 100)", + "World/Europe/HRV/Imports/Import unit value index (2000 = 100)", + "World/Latam/MEX/Imports/Import unit value index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import unit value index (2000 = 100)", + "World/Europe/NLD/Imports/Import unit value index (2000 = 100)", + "World/Latam/PAN/Imports/Import unit value index (2000 = 100)", + "World/Europe/POL/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import unit value index (2000 = 100)", + "World/Europe/SWE/Imports/Import unit value index (2000 = 100)", + "World/Asia/THA/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/ARE/Imports/Import value index (2000 = 100)", + "World/Latam/ARG/Imports/Import value index (2000 = 100)", + "World/Europe/AUT/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import value index (2000 = 100)", + "World/Asia/BGD/Imports/Import value index (2000 = 100)", + "World/Latam/BRA/Imports/Import value index (2000 = 100)", + "World/Latam/CHL/Imports/Import value index (2000 = 100)", + "World/Pair/CHN/Imports/Import value index (2000 = 100)", + "World/Latam/COL/Imports/Import value index (2000 = 100)", + "World/Latam/CRI/Imports/Import value index (2000 = 100)", + "World/Europe/DEU/Imports/Import value index (2000 = 100)", + "World/North Africa/DZA/Imports/Import value index (2000 = 100)", + "World/North Africa/EGY/Imports/Import value index (2000 = 100)", + "World/Europe/ESP/Imports/Import value index (2000 = 100)", + "World/Europe/FRA/Imports/Import value index (2000 = 100)", + "World/Europe/GBR/Imports/Import value index (2000 = 100)", + "World/Europe/GRC/Imports/Import value index (2000 = 100)", + "World/Europe/HRV/Imports/Import value index (2000 = 100)", + "World/Asia/IDN/Imports/Import value index (2000 = 100)", + "World/Asia/IND/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/IRQ/Imports/Import value index (2000 = 100)", + "World/North Africa/ISR/Imports/Import value index (2000 = 100)", + "World/Asia/KOR/Imports/Import value index (2000 = 100)", + "World/North Africa/MAR/Imports/Import value index (2000 = 100)", + "World/Latam/MEX/Imports/Import value index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import value index (2000 = 100)", + "World/South Africa/NGA/Imports/Import value index (2000 = 100)", + "World/Europe/NLD/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/OMN/Imports/Import value index (2000 = 100)", + "World/Latam/PAN/Imports/Import value index (2000 = 100)", + "World/Latam/PER/Imports/Import value index (2000 = 100)", + "World/Asia/PHL/Imports/Import value index (2000 = 100)", + "World/Europe/POL/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/SAU/Imports/Import value index (2000 = 100)", + "World/South Africa/SEN/Imports/Import value index (2000 = 100)", + "World/Europe/SWE/Imports/Import value index (2000 = 100)", + "World/Asia/THA/Imports/Import value index (2000 = 100)", + "World/North Africa/TUR/Imports/Import value index (2000 = 100)", + "World/Pair/USA/Imports/Import value index (2000 = 100)", + "World/Asia/VNM/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/YEM/Imports/Import value index (2000 = 100)", + "World/South Africa/ZAF/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/ARE/Imports/Import volume index (2000 = 100)", + "World/Latam/ARG/Imports/Import volume index (2000 = 100)", + "World/Europe/AUT/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import volume index (2000 = 100)", + "World/Asia/BGD/Imports/Import volume index (2000 = 100)", + "World/Latam/BRA/Imports/Import volume index (2000 = 100)", + "World/Latam/CHL/Imports/Import volume index (2000 = 100)", + "World/Pair/CHN/Imports/Import volume index (2000 = 100)", + "World/Latam/COL/Imports/Import volume index (2000 = 100)", + "World/Latam/CRI/Imports/Import volume index (2000 = 100)", + "World/Europe/DEU/Imports/Import volume index (2000 = 100)", + "World/North Africa/DZA/Imports/Import volume index (2000 = 100)", + "World/North Africa/EGY/Imports/Import volume index (2000 = 100)", + "World/Europe/GBR/Imports/Import volume index (2000 = 100)", + "World/Asia/IDN/Imports/Import volume index (2000 = 100)", + "World/Asia/IND/Imports/Import volume index (2000 = 100)", + "World/North Africa/ISR/Imports/Import volume index (2000 = 100)", + "World/Asia/KOR/Imports/Import volume index (2000 = 100)", + "World/North Africa/MAR/Imports/Import volume index (2000 = 100)", + "World/Latam/MEX/Imports/Import volume index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import volume index (2000 = 100)", + "World/South Africa/NGA/Imports/Import volume index (2000 = 100)", + "World/Europe/NLD/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/OMN/Imports/Import volume index (2000 = 100)", + "World/Latam/PAN/Imports/Import volume index (2000 = 100)", + "World/Latam/PER/Imports/Import volume index (2000 = 100)", + "World/Asia/PHL/Imports/Import volume index (2000 = 100)", + "World/Europe/POL/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/SAU/Imports/Import volume index (2000 = 100)", + "World/South Africa/SEN/Imports/Import volume index (2000 = 100)", + "World/Asia/THA/Imports/Import volume index (2000 = 100)", + "World/North Africa/TUR/Imports/Import volume index (2000 = 100)", + "World/Pair/USA/Imports/Import volume index (2000 = 100)", + "World/Latam/VEN/Imports/Import volume index (2000 = 100)", + "World/Asia/VNM/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/YEM/Imports/Import volume index (2000 = 100)", + "World/South Africa/ZAF/Imports/Import volume index (2000 = 100)", + "World/Latam/ARG/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/AUT/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/AZE/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/BGD/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/BRA/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/CHL/Imports/Imports of goods and services (BoP, current US$)", + "World/Pair/CHN/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/CMR/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/COL/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/CRI/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/DEU/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/DZA/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/EGY/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/ESP/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/FRA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/GBR/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/GHA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/GRC/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/HRV/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/IDN/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/IND/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/ISR/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/KOR/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/MAR/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/MEX/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/MOZ/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/NGA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/NLD/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/PAN/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/PER/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/PHL/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/POL/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/SAU/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/SEN/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/SWE/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/THA/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/TUR/Imports/Imports of goods and services (BoP, current US$)", + "World/Pair/USA/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/VNM/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/YEM/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/ZAF/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/ARE/Imports/Imports of goods and services (current US$)", + "World/Latam/ARG/Imports/Imports of goods and services (current US$)", + "World/Europe/AUT/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/AZE/Imports/Imports of goods and services (current US$)", + "World/Asia/BGD/Imports/Imports of goods and services (current US$)", + "World/Latam/BRA/Imports/Imports of goods and services (current US$)", + "World/Latam/CHL/Imports/Imports of goods and services (current US$)", + "World/Pair/CHN/Imports/Imports of goods and services (current US$)", + "World/Latam/COL/Imports/Imports of goods and services (current US$)", + "World/Latam/CRI/Imports/Imports of goods and services (current US$)", + "World/Europe/DEU/Imports/Imports of goods and services (current US$)", + "World/North Africa/DZA/Imports/Imports of goods and services (current US$)", + "World/North Africa/EGY/Imports/Imports of goods and services (current US$)", + "World/Europe/ESP/Imports/Imports of goods and services (current US$)", + "World/Europe/FRA/Imports/Imports of goods and services (current US$)", + "World/Europe/GBR/Imports/Imports of goods and services (current US$)", + "World/South Africa/GHA/Imports/Imports of goods and services (current US$)", + "World/Europe/GRC/Imports/Imports of goods and services (current US$)", + "World/Europe/HRV/Imports/Imports of goods and services (current US$)", + "World/Asia/IDN/Imports/Imports of goods and services (current US$)", + "World/Asia/IND/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/IRQ/Imports/Imports of goods and services (current US$)", + "World/North Africa/ISR/Imports/Imports of goods and services (current US$)", + "World/Asia/KOR/Imports/Imports of goods and services (current US$)", + "World/North Africa/MAR/Imports/Imports of goods and services (current US$)", + "World/Latam/MEX/Imports/Imports of goods and services (current US$)", + "World/South Africa/MOZ/Imports/Imports of goods and services (current US$)", + "World/South Africa/NGA/Imports/Imports of goods and services (current US$)", + "World/Europe/NLD/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/OMN/Imports/Imports of goods and services (current US$)", + "World/Latam/PAN/Imports/Imports of goods and services (current US$)", + "World/Latam/PER/Imports/Imports of goods and services (current US$)", + "World/Asia/PHL/Imports/Imports of goods and services (current US$)", + "World/Europe/POL/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/QAT/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/SAU/Imports/Imports of goods and services (current US$)", + "World/South Africa/SEN/Imports/Imports of goods and services (current US$)", + "World/Europe/SWE/Imports/Imports of goods and services (current US$)", + "World/Asia/THA/Imports/Imports of goods and services (current US$)", + "World/North Africa/TUR/Imports/Imports of goods and services (current US$)", + "World/Pair/USA/Imports/Imports of goods and services (current US$)", + "World/Latam/VEN/Imports/Imports of goods and services (current US$)", + "World/Asia/VNM/Imports/Imports of goods and services (current US$)", + "World/South Africa/ZAF/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/ARE/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/AUT/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/AZE/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/BRA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Pair/CHN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/CMR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/CRI/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/EGY/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/ESP/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/GBR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/GHA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/HRV/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/IDN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/IND/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/IRQ/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/ISR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/LBR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/MOZ/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/OMN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/PER/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/POL/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/QAT/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/SAU/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/SEN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/THA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/TUR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Pair/USA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/VNM/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/YEM/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/ARE/Economy/Industry (including construction), value added (current US$)", + "World/Latam/ARG/Economy/Industry (including construction), value added (current US$)", + "World/Europe/AUT/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/AZE/Economy/Industry (including construction), value added (current US$)", + "World/Asia/BGD/Economy/Industry (including construction), value added (current US$)", + "World/Latam/BRA/Economy/Industry (including construction), value added (current US$)", + "World/Latam/CHL/Economy/Industry (including construction), value added (current US$)", + "World/Pair/CHN/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/CMR/Economy/Industry (including construction), value added (current US$)", + "World/Latam/COL/Economy/Industry (including construction), value added (current US$)", + "World/Latam/CRI/Economy/Industry (including construction), value added (current US$)", + "World/Europe/DEU/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/DZA/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/EGY/Economy/Industry (including construction), value added (current US$)", + "World/Europe/ESP/Economy/Industry (including construction), value added (current US$)", + "World/Europe/FRA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/GBR/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/GHA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/GRC/Economy/Industry (including construction), value added (current US$)", + "World/Europe/HRV/Economy/Industry (including construction), value added (current US$)", + "World/Asia/IDN/Economy/Industry (including construction), value added (current US$)", + "World/Asia/IND/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/IRQ/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/ISR/Economy/Industry (including construction), value added (current US$)", + "World/Asia/KOR/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/LBR/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/MAR/Economy/Industry (including construction), value added (current US$)", + "World/Latam/MEX/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/MOZ/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/NGA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/NLD/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/OMN/Economy/Industry (including construction), value added (current US$)", + "World/Latam/PAN/Economy/Industry (including construction), value added (current US$)", + "World/Latam/PER/Economy/Industry (including construction), value added (current US$)", + "World/Asia/PHL/Economy/Industry (including construction), value added (current US$)", + "World/Europe/POL/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/SAU/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/SEN/Economy/Industry (including construction), value added (current US$)", + "World/Europe/SWE/Economy/Industry (including construction), value added (current US$)", + "World/Asia/THA/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/TUR/Economy/Industry (including construction), value added (current US$)", + "World/Pair/USA/Economy/Industry (including construction), value added (current US$)", + "World/Latam/VEN/Economy/Industry (including construction), value added (current US$)", + "World/Asia/VNM/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/YEM/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/ZAF/Economy/Industry (including construction), value added (current US$)", + "World/Latam/BRA/Mortality/Intentional homicides (per 100,000 people)", + "World/Pair/CHN/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/COL/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/CRI/Mortality/Intentional homicides (per 100,000 people)", + "World/North Africa/EGY/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/ESP/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/GBR/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/IDN/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/IND/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/IRQ/Mortality/Intentional homicides (per 100,000 people)", + "World/North Africa/ISR/Mortality/Intentional homicides (per 100,000 people)", + "World/South Africa/MOZ/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/NLD/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/PAN/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/PER/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/POL/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/THA/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/VNM/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/YEM/Mortality/Intentional homicides (per 100,000 people)", + "World/South Africa/ZAF/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/ARE/Migration/International migrant stock (% of population)", + "World/Europe/AUT/Migration/International migrant stock (% of population)", + "World/Persian Gulf/AZE/Migration/International migrant stock (% of population)", + "World/Latam/CHL/Migration/International migrant stock (% of population)", + "World/Pair/CHN/Migration/International migrant stock (% of population)", + "World/Europe/DEU/Migration/International migrant stock (% of population)", + "World/North Africa/DZA/Migration/International migrant stock (% of population)", + "World/Europe/ESP/Migration/International migrant stock (% of population)", + "World/Europe/FRA/Migration/International migrant stock (% of population)", + "World/Europe/GBR/Migration/International migrant stock (% of population)", + "World/Europe/GRC/Migration/International migrant stock (% of population)", + "World/Europe/HRV/Migration/International migrant stock (% of population)", + "World/Asia/IND/Migration/International migrant stock (% of population)", + "World/North Africa/ISR/Migration/International migrant stock (% of population)", + "World/Asia/KOR/Migration/International migrant stock (% of population)", + "World/North Africa/MAR/Migration/International migrant stock (% of population)", + "World/Latam/MEX/Migration/International migrant stock (% of population)", + "World/South Africa/MOZ/Migration/International migrant stock (% of population)", + "World/South Africa/NGA/Migration/International migrant stock (% of population)", + "World/Europe/NLD/Migration/International migrant stock (% of population)", + "World/Latam/PAN/Migration/International migrant stock (% of population)", + "World/Latam/PER/Migration/International migrant stock (% of population)", + "World/Europe/POL/Migration/International migrant stock (% of population)", + "World/Persian Gulf/SAU/Migration/International migrant stock (% of population)", + "World/South Africa/SEN/Migration/International migrant stock (% of population)", + "World/Europe/SWE/Migration/International migrant stock (% of population)", + "World/Asia/THA/Migration/International migrant stock (% of population)", + "World/North Africa/TUR/Migration/International migrant stock (% of population)", + "World/Pair/USA/Migration/International migrant stock (% of population)", + "World/Asia/VNM/Migration/International migrant stock (% of population)", + "World/Persian Gulf/YEM/Migration/International migrant stock (% of population)", + "World/Persian Gulf/ARE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/AUT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/AZE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/BRA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/CHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Pair/CHN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/COL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/CRI/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/DEU/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/DZA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/EGY/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/GHA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/GRC/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/IDN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/IND/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/IRQ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/ISR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/KOR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/LBR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/MEX/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/MOZ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/NGA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/NLD/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/OMN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/PAN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/PER/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/PHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/POL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/QAT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/SWE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/TUR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Pair/USA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/VEN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/VNM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/YEM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/ZAF/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/ARE/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/ARG/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/AZE/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/BGD/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/CHL/Mortality/Lifetime risk of maternal death (%)", + "World/Pair/CHN/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/CMR/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/COL/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/CRI/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/EGY/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/ESP/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/GBR/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/GHA/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/GRC/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/HRV/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/IDN/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/IND/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/ISR/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/KOR/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/LBR/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/MAR/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/MEX/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/MOZ/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/NGA/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/NLD/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/PAN/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/PER/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/PHL/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/POL/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/QAT/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/SAU/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/SEN/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/THA/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/TUR/Mortality/Lifetime risk of maternal death (%)", + "World/Pair/USA/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/VNM/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/YEM/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/ARE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/ARG/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/AZE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/BGD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/CHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Pair/CHN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/CMR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/COL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/CRI/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/EGY/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/ESP/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/GBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/GHA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/GRC/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/HRV/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/IDN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/IND/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/ISR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/KOR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/LBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/MAR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/MEX/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/MOZ/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/NGA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/NLD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/PAN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/PER/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/PHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/POL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/QAT/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/SAU/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/SEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/THA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/TUR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Pair/USA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/VEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/VNM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/YEM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/ARE/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/ARG/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/AUT/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/AZE/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/BGD/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/BRA/Industry/Livestock production index (2014-2016 = 100)", + "World/Pair/CHN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/COL/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/CRI/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/DZA/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/EGY/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/GBR/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/GHA/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/IDN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/IND/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/ISR/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/KOR/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/LBR/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/MAR/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/MEX/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/MOZ/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/NGA/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/NLD/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/PAN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/PER/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/PHL/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/POL/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/SAU/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/SEN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/THA/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/TUR/Industry/Livestock production index (2014-2016 = 100)", + "World/Pair/USA/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/VEN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/VNM/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/ZAF/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/ARE/Health/Low-birthweight babies (% of births)", + "World/Asia/BGD/Health/Low-birthweight babies (% of births)", + "World/Latam/BRA/Health/Low-birthweight babies (% of births)", + "World/Latam/CHL/Health/Low-birthweight babies (% of births)", + "World/Pair/CHN/Health/Low-birthweight babies (% of births)", + "World/South Africa/CMR/Health/Low-birthweight babies (% of births)", + "World/Latam/COL/Health/Low-birthweight babies (% of births)", + "World/Latam/CRI/Health/Low-birthweight babies (% of births)", + "World/North Africa/DZA/Health/Low-birthweight babies (% of births)", + "World/Europe/ESP/Health/Low-birthweight babies (% of births)", + "World/Europe/FRA/Health/Low-birthweight babies (% of births)", + "World/Europe/GBR/Health/Low-birthweight babies (% of births)", + "World/South Africa/GHA/Health/Low-birthweight babies (% of births)", + "World/Europe/HRV/Health/Low-birthweight babies (% of births)", + "World/Asia/IDN/Health/Low-birthweight babies (% of births)", + "World/North Africa/ISR/Health/Low-birthweight babies (% of births)", + "World/Asia/KOR/Health/Low-birthweight babies (% of births)", + "World/North Africa/MAR/Health/Low-birthweight babies (% of births)", + "World/Latam/MEX/Health/Low-birthweight babies (% of births)", + "World/South Africa/MOZ/Health/Low-birthweight babies (% of births)", + "World/Europe/NLD/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/OMN/Health/Low-birthweight babies (% of births)", + "World/Latam/PAN/Health/Low-birthweight babies (% of births)", + "World/Latam/PER/Health/Low-birthweight babies (% of births)", + "World/Asia/PHL/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/QAT/Health/Low-birthweight babies (% of births)", + "World/South Africa/SEN/Health/Low-birthweight babies (% of births)", + "World/Asia/THA/Health/Low-birthweight babies (% of births)", + "World/North Africa/TUR/Health/Low-birthweight babies (% of births)", + "World/Asia/VNM/Health/Low-birthweight babies (% of births)", + "World/South Africa/ZAF/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/ARE/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/BGD/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/CHL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Pair/CHN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/COL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/South Africa/GHA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Europe/HRV/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/IDN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/IND/Economy/Market capitalization of listed domestic companies (current US$)", + "World/North Africa/ISR/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/KOR/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/MEX/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/OMN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/PAN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Europe/POL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/QAT/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/SAU/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/THA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Pair/USA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/VNM/Economy/Market capitalization of listed domestic companies (current US$)", + "World/South Africa/ZAF/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/ARE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/ARG/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/AZE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/BGD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/CHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Pair/CHN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/CMR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/CRI/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/DZA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/EGY/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/ESP/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/GBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/GHA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/HRV/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/IDN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/IND/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/ISR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/KOR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/LBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/MAR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/MEX/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/MOZ/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/NGA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/NLD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/PAN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/PER/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/PHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/POL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/QAT/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/SAU/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/SEN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/THA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/TUR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Pair/USA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/VNM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/YEM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/ARE/Exports/Merchandise exports (current US$)", + "World/Europe/AUT/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/AZE/Exports/Merchandise exports (current US$)", + "World/Asia/BGD/Exports/Merchandise exports (current US$)", + "World/Latam/BRA/Exports/Merchandise exports (current US$)", + "World/Latam/CHL/Exports/Merchandise exports (current US$)", + "World/Pair/CHN/Exports/Merchandise exports (current US$)", + "World/Latam/COL/Exports/Merchandise exports (current US$)", + "World/Latam/CRI/Exports/Merchandise exports (current US$)", + "World/Europe/DEU/Exports/Merchandise exports (current US$)", + "World/North Africa/EGY/Exports/Merchandise exports (current US$)", + "World/Europe/ESP/Exports/Merchandise exports (current US$)", + "World/Europe/FRA/Exports/Merchandise exports (current US$)", + "World/Europe/GBR/Exports/Merchandise exports (current US$)", + "World/South Africa/GHA/Exports/Merchandise exports (current US$)", + "World/Asia/IDN/Exports/Merchandise exports (current US$)", + "World/Asia/IND/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports (current US$)", + "World/North Africa/ISR/Exports/Merchandise exports (current US$)", + "World/Asia/KOR/Exports/Merchandise exports (current US$)", + "World/North Africa/MAR/Exports/Merchandise exports (current US$)", + "World/Latam/MEX/Exports/Merchandise exports (current US$)", + "World/South Africa/MOZ/Exports/Merchandise exports (current US$)", + "World/Europe/NLD/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/OMN/Exports/Merchandise exports (current US$)", + "World/Latam/PAN/Exports/Merchandise exports (current US$)", + "World/Latam/PER/Exports/Merchandise exports (current US$)", + "World/Asia/PHL/Exports/Merchandise exports (current US$)", + "World/Europe/POL/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/QAT/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/SAU/Exports/Merchandise exports (current US$)", + "World/South Africa/SEN/Exports/Merchandise exports (current US$)", + "World/Europe/SWE/Exports/Merchandise exports (current US$)", + "World/Asia/THA/Exports/Merchandise exports (current US$)", + "World/North Africa/TUR/Exports/Merchandise exports (current US$)", + "World/Pair/USA/Exports/Merchandise exports (current US$)", + "World/Latam/VEN/Exports/Merchandise exports (current US$)", + "World/Asia/VNM/Exports/Merchandise exports (current US$)", + "World/South Africa/ZAF/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/ARE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/AUT/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/AZE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/BGD/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/BRA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/CHL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Pair/CHN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/COL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/CRI/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/DEU/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/DZA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/EGY/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/ESP/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/FRA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/GBR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/GHA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/IDN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/IND/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/KOR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/MAR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/MEX/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/MOZ/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/NGA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/NLD/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/OMN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/PER/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/PHL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/POL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/QAT/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/SEN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/SWE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/THA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/TUR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Pair/USA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/VEN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/VNM/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/ZAF/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/AZE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/BGD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/GBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/LBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/MOZ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/NGA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/NLD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/PAN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/PER/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/PHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/POL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/QAT/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/SWE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/THA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Pair/USA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/VEN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/ZAF/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/AUT/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/BRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/FRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/IND/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/MOZ/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/NGA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/NLD/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/OMN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/PAN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/PER/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/PHL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/QAT/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/SAU/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Pair/USA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/ZAF/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/ARE/Imports/Merchandise imports (current US$)", + "World/Latam/ARG/Imports/Merchandise imports (current US$)", + "World/Europe/AUT/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/AZE/Imports/Merchandise imports (current US$)", + "World/Asia/BGD/Imports/Merchandise imports (current US$)", + "World/Latam/BRA/Imports/Merchandise imports (current US$)", + "World/Latam/CHL/Imports/Merchandise imports (current US$)", + "World/Pair/CHN/Imports/Merchandise imports (current US$)", + "World/Latam/COL/Imports/Merchandise imports (current US$)", + "World/Latam/CRI/Imports/Merchandise imports (current US$)", + "World/Europe/DEU/Imports/Merchandise imports (current US$)", + "World/North Africa/DZA/Imports/Merchandise imports (current US$)", + "World/North Africa/EGY/Imports/Merchandise imports (current US$)", + "World/Europe/ESP/Imports/Merchandise imports (current US$)", + "World/Europe/FRA/Imports/Merchandise imports (current US$)", + "World/Europe/GBR/Imports/Merchandise imports (current US$)", + "World/Europe/GRC/Imports/Merchandise imports (current US$)", + "World/Europe/HRV/Imports/Merchandise imports (current US$)", + "World/Asia/IDN/Imports/Merchandise imports (current US$)", + "World/Asia/IND/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/IRQ/Imports/Merchandise imports (current US$)", + "World/North Africa/ISR/Imports/Merchandise imports (current US$)", + "World/Asia/KOR/Imports/Merchandise imports (current US$)", + "World/North Africa/MAR/Imports/Merchandise imports (current US$)", + "World/Latam/MEX/Imports/Merchandise imports (current US$)", + "World/South Africa/MOZ/Imports/Merchandise imports (current US$)", + "World/South Africa/NGA/Imports/Merchandise imports (current US$)", + "World/Europe/NLD/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/OMN/Imports/Merchandise imports (current US$)", + "World/Latam/PAN/Imports/Merchandise imports (current US$)", + "World/Latam/PER/Imports/Merchandise imports (current US$)", + "World/Asia/PHL/Imports/Merchandise imports (current US$)", + "World/Europe/POL/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/QAT/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/SAU/Imports/Merchandise imports (current US$)", + "World/South Africa/SEN/Imports/Merchandise imports (current US$)", + "World/Europe/SWE/Imports/Merchandise imports (current US$)", + "World/Asia/THA/Imports/Merchandise imports (current US$)", + "World/North Africa/TUR/Imports/Merchandise imports (current US$)", + "World/Pair/USA/Imports/Merchandise imports (current US$)", + "World/Asia/VNM/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/YEM/Imports/Merchandise imports (current US$)", + "World/South Africa/ZAF/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/ARE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/ARG/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/AUT/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/AZE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/BGD/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/BRA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/CHL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Pair/CHN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/CMR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/COL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/CRI/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/DEU/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/DZA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/EGY/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/ESP/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/FRA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/GBR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/GHA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/GRC/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/HRV/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/IDN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/IND/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/IRQ/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/ISR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/KOR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/MAR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/MEX/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/MOZ/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/NGA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/NLD/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/OMN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/PAN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/PER/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/PHL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/POL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/QAT/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/SAU/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/SEN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/SWE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/THA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/TUR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Pair/USA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/VNM/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/ZAF/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/BGD/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/IDN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/South Africa/NGA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/OMN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/PHL/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/THA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/VNM/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/YEM/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/CHL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/DEU/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/FRA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/IDN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/MOZ/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/NGA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/NLD/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/PAN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/PHL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/SWE/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/THA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/VNM/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/ARG/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/CHL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/South Africa/LBR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/PAN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/SWE/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/South Africa/ZAF/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/FRA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/MOZ/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/NLD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/OMN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/SEN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/YEM/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/ARE/Environment/Methane emissions (% change from 1990)", + "World/Europe/AUT/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/AZE/Environment/Methane emissions (% change from 1990)", + "World/Asia/BGD/Environment/Methane emissions (% change from 1990)", + "World/Latam/CHL/Environment/Methane emissions (% change from 1990)", + "World/Pair/CHN/Environment/Methane emissions (% change from 1990)", + "World/Latam/COL/Environment/Methane emissions (% change from 1990)", + "World/Europe/DEU/Environment/Methane emissions (% change from 1990)", + "World/North Africa/DZA/Environment/Methane emissions (% change from 1990)", + "World/North Africa/EGY/Environment/Methane emissions (% change from 1990)", + "World/Europe/ESP/Environment/Methane emissions (% change from 1990)", + "World/Europe/FRA/Environment/Methane emissions (% change from 1990)", + "World/Europe/GBR/Environment/Methane emissions (% change from 1990)", + "World/South Africa/GHA/Environment/Methane emissions (% change from 1990)", + "World/Asia/IND/Environment/Methane emissions (% change from 1990)", + "World/Asia/KOR/Environment/Methane emissions (% change from 1990)", + "World/North Africa/MAR/Environment/Methane emissions (% change from 1990)", + "World/Latam/MEX/Environment/Methane emissions (% change from 1990)", + "World/Europe/NLD/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Methane emissions (% change from 1990)", + "World/Latam/PAN/Environment/Methane emissions (% change from 1990)", + "World/Latam/PER/Environment/Methane emissions (% change from 1990)", + "World/Asia/PHL/Environment/Methane emissions (% change from 1990)", + "World/Europe/POL/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/SAU/Environment/Methane emissions (% change from 1990)", + "World/North Africa/TUR/Environment/Methane emissions (% change from 1990)", + "World/Pair/USA/Environment/Methane emissions (% change from 1990)", + "World/Asia/VNM/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/ARG/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/AUT/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/BGD/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/BRA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Pair/CHN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/CMR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/COL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/CRI/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/DEU/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/DZA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/EGY/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/FRA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/GBR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/GHA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/IND/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/ISR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/LBR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/MAR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/MEX/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/NGA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/NLD/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/PAN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/PER/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/PHL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/POL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/SAU/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/SEN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/TUR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Pair/USA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/VNM/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/ARE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/AUT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/CMR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/COL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/DEU/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/EGY/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GRC/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/IRQ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/KOR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/PAN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/POL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/SEN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/THA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Pair/USA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Military/Military expenditure (current USD)", + "World/Europe/AUT/Military/Military expenditure (current USD)", + "World/Persian Gulf/AZE/Military/Military expenditure (current USD)", + "World/Asia/BGD/Military/Military expenditure (current USD)", + "World/Latam/BRA/Military/Military expenditure (current USD)", + "World/Latam/CHL/Military/Military expenditure (current USD)", + "World/Pair/CHN/Military/Military expenditure (current USD)", + "World/South Africa/CMR/Military/Military expenditure (current USD)", + "World/Latam/COL/Military/Military expenditure (current USD)", + "World/North Africa/DZA/Military/Military expenditure (current USD)", + "World/North Africa/EGY/Military/Military expenditure (current USD)", + "World/Europe/ESP/Military/Military expenditure (current USD)", + "World/Europe/FRA/Military/Military expenditure (current USD)", + "World/South Africa/GHA/Military/Military expenditure (current USD)", + "World/Europe/GRC/Military/Military expenditure (current USD)", + "World/Asia/IDN/Military/Military expenditure (current USD)", + "World/Asia/IND/Military/Military expenditure (current USD)", + "World/North Africa/ISR/Military/Military expenditure (current USD)", + "World/Asia/KOR/Military/Military expenditure (current USD)", + "World/North Africa/MAR/Military/Military expenditure (current USD)", + "World/Latam/MEX/Military/Military expenditure (current USD)", + "World/South Africa/MOZ/Military/Military expenditure (current USD)", + "World/South Africa/NGA/Military/Military expenditure (current USD)", + "World/Europe/NLD/Military/Military expenditure (current USD)", + "World/Persian Gulf/OMN/Military/Military expenditure (current USD)", + "World/Latam/PER/Military/Military expenditure (current USD)", + "World/Asia/PHL/Military/Military expenditure (current USD)", + "World/Europe/POL/Military/Military expenditure (current USD)", + "World/Persian Gulf/SAU/Military/Military expenditure (current USD)", + "World/South Africa/SEN/Military/Military expenditure (current USD)", + "World/Asia/THA/Military/Military expenditure (current USD)", + "World/North Africa/TUR/Military/Military expenditure (current USD)", + "World/Pair/USA/Military/Military expenditure (current USD)", + "World/Asia/VNM/Military/Military expenditure (current USD)", + "World/Persian Gulf/YEM/Military/Military expenditure (current USD)", + "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions", + "World/Latam/BRA/Internet/Mobile cellular subscriptions", + "World/Latam/CHL/Internet/Mobile cellular subscriptions", + "World/Pair/CHN/Internet/Mobile cellular subscriptions", + "World/Europe/DEU/Internet/Mobile cellular subscriptions", + "World/North Africa/DZA/Internet/Mobile cellular subscriptions", + "World/North Africa/EGY/Internet/Mobile cellular subscriptions", + "World/Europe/FRA/Internet/Mobile cellular subscriptions", + "World/Europe/GBR/Internet/Mobile cellular subscriptions", + "World/Europe/HRV/Internet/Mobile cellular subscriptions", + "World/Asia/IDN/Internet/Mobile cellular subscriptions", + "World/North Africa/ISR/Internet/Mobile cellular subscriptions", + "World/Asia/KOR/Internet/Mobile cellular subscriptions", + "World/North Africa/MAR/Internet/Mobile cellular subscriptions", + "World/Latam/MEX/Internet/Mobile cellular subscriptions", + "World/Europe/NLD/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions", + "World/Latam/PER/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions", + "World/Europe/SWE/Internet/Mobile cellular subscriptions", + "World/Asia/THA/Internet/Mobile cellular subscriptions", + "World/North Africa/TUR/Internet/Mobile cellular subscriptions", + "World/Pair/USA/Internet/Mobile cellular subscriptions", + "World/South Africa/ZAF/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/BRA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/CHL/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Pair/CHN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/DEU/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/DZA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/EGY/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/FRA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/HRV/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/IDN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/ISR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/KOR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/MAR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/MEX/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/NLD/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/PER/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/SWE/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/THA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/TUR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Pair/USA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/VEN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/South Africa/ZAF/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/ARE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/AZE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/BGD/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/CHL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Pair/CHN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/CMR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/COL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/CRI/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/DEU/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/DZA/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/EGY/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/FRA/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/GRC/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/HRV/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/IND/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/KOR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/LBR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/MAR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/MEX/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/OMN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/PAN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/PER/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/POL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/QAT/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/SAU/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/SEN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/SWE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/TUR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/VEN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/VNM/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/AUT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/AZE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/BGD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Pair/CHN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/CMR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/DEU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/DZA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/ESP/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/GBR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/GRC/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/HRV/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/IDN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/ISR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/KOR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/MAR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Latam/MEX/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/MOZ/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/NGA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/NLD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/OMN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/PHL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/POL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/QAT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/SAU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/SWE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/THA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/TUR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Latam/VEN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/VNM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/YEM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/ARE/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/AUT/Economy/Net barter terms of trade index (2000 = 100)", + "World/Latam/BRA/Economy/Net barter terms of trade index (2000 = 100)", + "World/Latam/COL/Economy/Net barter terms of trade index (2000 = 100)", + "World/North Africa/DZA/Economy/Net barter terms of trade index (2000 = 100)", + "World/North Africa/EGY/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/ESP/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/GHA/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/KOR/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/LBR/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/NLD/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/SWE/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/VNM/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/ZAF/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/BGD/Economy/Net primary income (BoP, current US$)", + "World/Latam/BRA/Economy/Net primary income (BoP, current US$)", + "World/Latam/COL/Economy/Net primary income (BoP, current US$)", + "World/Latam/CRI/Economy/Net primary income (BoP, current US$)", + "World/North Africa/EGY/Economy/Net primary income (BoP, current US$)", + "World/Europe/FRA/Economy/Net primary income (BoP, current US$)", + "World/South Africa/GHA/Economy/Net primary income (BoP, current US$)", + "World/Asia/IDN/Economy/Net primary income (BoP, current US$)", + "World/Asia/IND/Economy/Net primary income (BoP, current US$)", + "World/Asia/KOR/Economy/Net primary income (BoP, current US$)", + "World/Latam/MEX/Economy/Net primary income (BoP, current US$)", + "World/Persian Gulf/OMN/Economy/Net primary income (BoP, current US$)", + "World/Latam/PAN/Economy/Net primary income (BoP, current US$)", + "World/Europe/POL/Economy/Net primary income (BoP, current US$)", + "World/Persian Gulf/QAT/Economy/Net primary income (BoP, current US$)", + "World/Asia/THA/Economy/Net primary income (BoP, current US$)", + "World/North 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"World/Latam/MEX/Economy/Net secondary income (BoP, current US$)", + "World/South Africa/NGA/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/OMN/Economy/Net secondary income (BoP, current US$)", + "World/Latam/PER/Economy/Net secondary income (BoP, current US$)", + "World/Asia/PHL/Economy/Net secondary income (BoP, current US$)", + "World/Europe/POL/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/SAU/Economy/Net secondary income (BoP, current US$)", + "World/South Africa/SEN/Economy/Net secondary income (BoP, current US$)", + "World/Europe/SWE/Economy/Net secondary income (BoP, current US$)", + "World/Asia/THA/Economy/Net secondary income (BoP, current US$)", + "World/Pair/USA/Economy/Net secondary income (BoP, current US$)", + "World/Latam/VEN/Economy/Net secondary income (BoP, current US$)", + "World/Asia/VNM/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/YEM/Economy/Net secondary income (BoP, current US$)", + 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"World/Europe/GBR/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/GHA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/GRC/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Asia/IND/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/NGA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/NLD/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Latam/PAN/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Latam/PER/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/SWE/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Pair/USA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Asia/VNM/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/ZAF/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/BRA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Environment/Nitrous oxide 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"World/Europe/NLD/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/TUR/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Environment/Nitrous oxide emissions in energy sector (thousand 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"World/Europe/FRA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GBR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/KOR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Environment/Nitrous oxide emissions 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"World/Pair/CHN/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 15-19 years", + "World/Latam/COL/Mortality/Number of deaths ages 15-19 years", + "World/Europe/DEU/Mortality/Number of deaths ages 15-19 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 15-19 years", + "World/Europe/ESP/Mortality/Number of deaths ages 15-19 years", + "World/Europe/FRA/Mortality/Number of deaths ages 15-19 years", + "World/Europe/GBR/Mortality/Number of deaths ages 15-19 years", + "World/Europe/GRC/Mortality/Number of deaths ages 15-19 years", + "World/Europe/HRV/Mortality/Number of deaths ages 15-19 years", + "World/Asia/IND/Mortality/Number of deaths ages 15-19 years", + "World/Asia/KOR/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/LBR/Mortality/Number of deaths ages 15-19 years", + "World/North Africa/MAR/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/NGA/Mortality/Number of deaths ages 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of deaths ages 15-19 years", + "World/Europe/AUT/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/AZE/Mortality/Number of deaths ages 20-24 years", + "World/Asia/BGD/Mortality/Number of deaths ages 20-24 years", + "World/Latam/CHL/Mortality/Number of deaths ages 20-24 years", + "World/Pair/CHN/Mortality/Number of deaths ages 20-24 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 20-24 years", + "World/Latam/COL/Mortality/Number of deaths ages 20-24 years", + "World/Latam/CRI/Mortality/Number of deaths ages 20-24 years", + "World/Europe/DEU/Mortality/Number of deaths ages 20-24 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 20-24 years", + "World/Europe/ESP/Mortality/Number of deaths ages 20-24 years", + "World/Europe/FRA/Mortality/Number of deaths ages 20-24 years", + "World/Europe/GBR/Mortality/Number of deaths ages 20-24 years", + "World/Europe/GRC/Mortality/Number of deaths ages 20-24 years", + "World/Europe/HRV/Mortality/Number 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"World/North Africa/TUR/Mortality/Number of deaths ages 20-24 years", + "World/Latam/VEN/Mortality/Number of deaths ages 20-24 years", + "World/Asia/VNM/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/YEM/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/ARE/Mortality/Number of deaths ages 5-9 years", + "World/Latam/ARG/Mortality/Number of deaths ages 5-9 years", + "World/Europe/AUT/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/AZE/Mortality/Number of deaths ages 5-9 years", + "World/Asia/BGD/Mortality/Number of deaths ages 5-9 years", + "World/Latam/BRA/Mortality/Number of deaths ages 5-9 years", + "World/Latam/CHL/Mortality/Number of deaths ages 5-9 years", + "World/Pair/CHN/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 5-9 years", + "World/Latam/COL/Mortality/Number of deaths ages 5-9 years", + "World/Latam/CRI/Mortality/Number of deaths ages 5-9 years", + "World/Europe/DEU/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/EGY/Mortality/Number of deaths ages 5-9 years", + "World/Europe/ESP/Mortality/Number of deaths ages 5-9 years", + "World/Europe/FRA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/GBR/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/GHA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/GRC/Mortality/Number of deaths ages 5-9 years", + "World/Europe/HRV/Mortality/Number of deaths ages 5-9 years", + "World/Asia/IDN/Mortality/Number of deaths ages 5-9 years", + "World/Asia/IND/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/ISR/Mortality/Number of deaths ages 5-9 years", + "World/Asia/KOR/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/MAR/Mortality/Number of deaths ages 5-9 years", + "World/Latam/MEX/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/MOZ/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/NGA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/NLD/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/OMN/Mortality/Number of deaths ages 5-9 years", + "World/Latam/PAN/Mortality/Number of deaths ages 5-9 years", + "World/Latam/PER/Mortality/Number of deaths ages 5-9 years", + "World/Europe/POL/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/QAT/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/SAU/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/SEN/Mortality/Number of deaths ages 5-9 years", + "World/Asia/THA/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/TUR/Mortality/Number of deaths ages 5-9 years", + "World/Pair/USA/Mortality/Number of deaths ages 5-9 years", + "World/Asia/VNM/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/YEM/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/ARE/Mortality/Number of infant deaths", + "World/Latam/ARG/Mortality/Number of infant deaths", + "World/Europe/AUT/Mortality/Number of infant deaths", + "World/Persian Gulf/AZE/Mortality/Number of infant deaths", + "World/Asia/BGD/Mortality/Number of infant deaths", + "World/Latam/BRA/Mortality/Number of infant deaths", + "World/Latam/CHL/Mortality/Number of infant deaths", + "World/Pair/CHN/Mortality/Number of infant deaths", + "World/South Africa/CMR/Mortality/Number of infant deaths", + "World/Latam/COL/Mortality/Number of infant deaths", + "World/Latam/CRI/Mortality/Number of infant deaths", + "World/North Africa/EGY/Mortality/Number of infant deaths", + "World/Europe/FRA/Mortality/Number of infant deaths", + "World/Europe/GBR/Mortality/Number of infant deaths", + "World/South Africa/GHA/Mortality/Number of infant deaths", + "World/Europe/GRC/Mortality/Number of infant deaths", + "World/Europe/HRV/Mortality/Number of infant deaths", + "World/Asia/IDN/Mortality/Number of infant deaths", + "World/Asia/IND/Mortality/Number of infant deaths", + "World/Persian Gulf/IRQ/Mortality/Number of infant deaths", + "World/North Africa/ISR/Mortality/Number of infant deaths", + "World/Asia/KOR/Mortality/Number of infant deaths", + "World/South Africa/LBR/Mortality/Number of infant deaths", + "World/North Africa/MAR/Mortality/Number of infant deaths", + "World/Latam/MEX/Mortality/Number of infant deaths", + "World/South Africa/MOZ/Mortality/Number of infant deaths", + "World/Europe/NLD/Mortality/Number of infant deaths", + "World/Persian Gulf/OMN/Mortality/Number of infant deaths", + "World/Latam/PAN/Mortality/Number of infant deaths", + "World/Latam/PER/Mortality/Number of infant deaths", + "World/Asia/PHL/Mortality/Number of infant deaths", + "World/Europe/POL/Mortality/Number of infant deaths", + "World/Persian Gulf/SAU/Mortality/Number of infant deaths", + "World/South Africa/SEN/Mortality/Number of infant deaths", + "World/Europe/SWE/Mortality/Number of infant deaths", + "World/Asia/THA/Mortality/Number of infant deaths", + "World/North Africa/TUR/Mortality/Number of infant deaths", + "World/Pair/USA/Mortality/Number of infant deaths", + "World/Asia/VNM/Mortality/Number of infant deaths", + "World/Latam/ARG/Mortality/Number of maternal deaths", + "World/Persian Gulf/AZE/Mortality/Number of maternal deaths", + "World/Asia/BGD/Mortality/Number of maternal deaths", + "World/Latam/BRA/Mortality/Number of maternal deaths", + "World/Latam/CHL/Mortality/Number of maternal deaths", + "World/Pair/CHN/Mortality/Number of maternal deaths", + "World/South Africa/CMR/Mortality/Number of maternal deaths", + "World/Latam/COL/Mortality/Number of maternal deaths", + "World/Latam/CRI/Mortality/Number of maternal deaths", + "World/North Africa/DZA/Mortality/Number of maternal deaths", + "World/North Africa/EGY/Mortality/Number of maternal deaths", + "World/Europe/FRA/Mortality/Number of maternal deaths", + "World/Europe/GBR/Mortality/Number of maternal deaths", + "World/Europe/HRV/Mortality/Number of maternal deaths", + "World/Asia/IDN/Mortality/Number of maternal deaths", + "World/Asia/IND/Mortality/Number of maternal deaths", + "World/North Africa/ISR/Mortality/Number of maternal deaths", + "World/Asia/KOR/Mortality/Number of maternal deaths", + "World/North Africa/MAR/Mortality/Number of maternal deaths", + "World/Latam/MEX/Mortality/Number of maternal deaths", + "World/South Africa/MOZ/Mortality/Number of maternal deaths", + "World/South Africa/NGA/Mortality/Number of maternal deaths", + "World/Europe/NLD/Mortality/Number of maternal deaths", + "World/Persian Gulf/OMN/Mortality/Number of maternal deaths", + "World/Latam/PAN/Mortality/Number of maternal deaths", + "World/Latam/PER/Mortality/Number of maternal deaths", + "World/Asia/PHL/Mortality/Number of maternal deaths", + "World/Europe/POL/Mortality/Number of maternal deaths", + "World/Persian Gulf/SAU/Mortality/Number of maternal deaths", + "World/South Africa/SEN/Mortality/Number of maternal deaths", + "World/Asia/THA/Mortality/Number of maternal deaths", + "World/North Africa/TUR/Mortality/Number of maternal deaths", + "World/Pair/USA/Mortality/Number of maternal deaths", + "World/Asia/VNM/Mortality/Number of maternal deaths", + "World/Persian Gulf/YEM/Mortality/Number of maternal deaths", + "World/Persian Gulf/ARE/Mortality/Number of neonatal deaths", + "World/Latam/ARG/Mortality/Number of neonatal deaths", + "World/Europe/AUT/Mortality/Number of neonatal deaths", + "World/Persian Gulf/AZE/Mortality/Number of neonatal deaths", + "World/Asia/BGD/Mortality/Number of neonatal deaths", + "World/Latam/BRA/Mortality/Number of neonatal deaths", + "World/Latam/CHL/Mortality/Number of neonatal deaths", + "World/Pair/CHN/Mortality/Number of neonatal deaths", + "World/Latam/COL/Mortality/Number of neonatal deaths", + "World/Latam/CRI/Mortality/Number of neonatal deaths", + "World/North Africa/DZA/Mortality/Number of neonatal deaths", + "World/North Africa/EGY/Mortality/Number of neonatal deaths", + "World/Europe/FRA/Mortality/Number of neonatal deaths", + "World/Europe/GBR/Mortality/Number of neonatal deaths", + "World/South Africa/GHA/Mortality/Number of neonatal deaths", + "World/Europe/GRC/Mortality/Number of neonatal deaths", + "World/Europe/HRV/Mortality/Number of neonatal deaths", + "World/Asia/IDN/Mortality/Number of neonatal deaths", + "World/Asia/IND/Mortality/Number of neonatal deaths", + "World/North Africa/ISR/Mortality/Number of neonatal deaths", + "World/Asia/KOR/Mortality/Number of neonatal deaths", + "World/North Africa/MAR/Mortality/Number of neonatal deaths", + "World/Latam/MEX/Mortality/Number of neonatal deaths", + "World/South Africa/MOZ/Mortality/Number of neonatal deaths", + "World/South Africa/NGA/Mortality/Number of neonatal deaths", + "World/Europe/NLD/Mortality/Number of neonatal deaths", + "World/Persian Gulf/OMN/Mortality/Number of neonatal deaths", + "World/Latam/PAN/Mortality/Number of neonatal deaths", + "World/Latam/PER/Mortality/Number of neonatal deaths", + "World/Asia/PHL/Mortality/Number of neonatal deaths", + "World/Europe/POL/Mortality/Number of neonatal deaths", + "World/Persian Gulf/QAT/Mortality/Number of neonatal deaths", + "World/Persian Gulf/SAU/Mortality/Number of neonatal deaths", + "World/South Africa/SEN/Mortality/Number of neonatal deaths", + "World/Asia/THA/Mortality/Number of neonatal deaths", + "World/North Africa/TUR/Mortality/Number of neonatal deaths", + "World/Pair/USA/Mortality/Number of neonatal deaths", + "World/Asia/VNM/Mortality/Number of neonatal deaths", + "World/South Africa/ZAF/Mortality/Number of neonatal deaths", + "World/Persian Gulf/ARE/Mortality/Number of under-five deaths", + "World/Latam/ARG/Mortality/Number of under-five deaths", + "World/Europe/AUT/Mortality/Number of under-five deaths", + "World/Persian Gulf/AZE/Mortality/Number of under-five deaths", + "World/Asia/BGD/Mortality/Number of under-five deaths", + "World/Latam/BRA/Mortality/Number of under-five deaths", + "World/Latam/CHL/Mortality/Number of under-five deaths", + "World/Pair/CHN/Mortality/Number of under-five deaths", + "World/South Africa/CMR/Mortality/Number of under-five deaths", + "World/Latam/COL/Mortality/Number of under-five deaths", + "World/Latam/CRI/Mortality/Number of under-five deaths", + "World/North Africa/EGY/Mortality/Number of under-five deaths", + "World/Europe/FRA/Mortality/Number of under-five deaths", + "World/Europe/GBR/Mortality/Number of under-five deaths", + "World/South Africa/GHA/Mortality/Number of under-five deaths", + "World/Europe/GRC/Mortality/Number of under-five deaths", + "World/Europe/HRV/Mortality/Number of under-five deaths", + "World/Asia/IDN/Mortality/Number of under-five deaths", + "World/Asia/IND/Mortality/Number of under-five deaths", + "World/Persian Gulf/IRQ/Mortality/Number of under-five deaths", + "World/North Africa/ISR/Mortality/Number of under-five deaths", + "World/Asia/KOR/Mortality/Number of under-five deaths", + "World/South Africa/LBR/Mortality/Number of under-five deaths", + "World/North Africa/MAR/Mortality/Number of under-five deaths", + "World/Latam/MEX/Mortality/Number of under-five deaths", + "World/South Africa/MOZ/Mortality/Number of under-five deaths", + "World/Europe/NLD/Mortality/Number of under-five deaths", + "World/Persian Gulf/OMN/Mortality/Number of under-five deaths", + "World/Latam/PAN/Mortality/Number of under-five deaths", + "World/Latam/PER/Mortality/Number of under-five deaths", + "World/Asia/PHL/Mortality/Number of under-five deaths", + "World/Europe/POL/Mortality/Number of under-five deaths", + "World/Persian Gulf/SAU/Mortality/Number of under-five deaths", + "World/South Africa/SEN/Mortality/Number of under-five deaths", + "World/Europe/SWE/Mortality/Number of under-five deaths", + "World/Asia/THA/Mortality/Number of under-five deaths", + "World/North Africa/TUR/Mortality/Number of under-five deaths", + "World/Pair/USA/Mortality/Number of under-five deaths", + "World/Asia/VNM/Mortality/Number of under-five deaths", + "World/Latam/ARG/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/AUT/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/AZE/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/BGD/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/BRA/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/CHL/Health/Nurses and midwives (per 1,000 people)", + "World/Pair/CHN/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/CMR/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/CRI/Health/Nurses and midwives (per 1,000 people)", + "World/North Africa/EGY/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/ESP/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/FRA/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/GHA/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/HRV/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/IDN/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/IND/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/KOR/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/LBR/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/MOZ/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/NLD/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/OMN/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/PAN/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/PER/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/POL/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/SAU/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/SWE/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/THA/Health/Nurses and midwives (per 1,000 people)", + "World/North Africa/TUR/Health/Nurses and midwives (per 1,000 people)", + "World/Pair/USA/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/VEN/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/YEM/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/ZAF/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/ARG/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/AUT/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/BGD/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/BRA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/CHL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Pair/CHN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/CMR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/COL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/CRI/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/DEU/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/DZA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/EGY/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/ESP/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/FRA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/GBR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/GHA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/GRC/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/HRV/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/IDN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/IND/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/ISR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/KOR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/LBR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/NGA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/NLD/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/PAN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/PER/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/PHL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/POL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/SEN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/SWE/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Pair/USA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/VEN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/VNM/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/ARG/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/AZE/Health/People practicing open defecation (% of population)", + "World/Asia/BGD/Health/People practicing open defecation (% of population)", + "World/Latam/BRA/Health/People practicing open defecation (% of population)", + "World/Latam/CHL/Health/People practicing open defecation (% of population)", + "World/Pair/CHN/Health/People practicing open defecation (% of population)", + "World/South Africa/CMR/Health/People practicing open defecation (% of population)", + "World/Latam/COL/Health/People practicing open defecation (% of population)", + "World/Latam/CRI/Health/People practicing open defecation (% of population)", + "World/North Africa/DZA/Health/People practicing open defecation (% of population)", + "World/North Africa/EGY/Health/People practicing open defecation (% of population)", + "World/South Africa/GHA/Health/People practicing open defecation (% of population)", + "World/Europe/GRC/Health/People practicing open defecation (% of population)", + "World/Asia/IDN/Health/People practicing open defecation (% of population)", + "World/Asia/IND/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/IRQ/Health/People practicing open defecation (% of population)", + "World/South Africa/LBR/Health/People practicing open defecation (% of population)", + "World/North Africa/MAR/Health/People practicing open defecation (% of population)", + "World/Latam/MEX/Health/People practicing open defecation (% of population)", + "World/South Africa/MOZ/Health/People practicing open defecation (% of population)", + "World/South Africa/NGA/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/OMN/Health/People practicing open defecation (% of population)", + "World/Latam/PAN/Health/People practicing open defecation (% of population)", + "World/Latam/PER/Health/People practicing open defecation (% of population)", + "World/Asia/PHL/Health/People practicing open defecation (% of population)", + "World/South Africa/SEN/Health/People practicing open defecation (% of population)", + "World/Asia/THA/Health/People practicing open defecation (% of population)", + "World/North Africa/TUR/Health/People practicing open defecation (% of population)", + "World/Latam/VEN/Health/People practicing open defecation (% of population)", + "World/Asia/VNM/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/YEM/Health/People practicing open defecation (% of population)", + "World/South Africa/ZAF/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/ARE/Health/People using at least basic drinking water services (% of population)", + "World/Latam/ARG/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/AZE/Health/People using at least basic drinking water services (% of population)", + "World/Asia/BGD/Health/People using at least basic drinking water services (% of population)", + "World/Latam/BRA/Health/People using at least basic drinking water services (% of population)", + "World/Latam/CHL/Health/People using at least basic drinking water services (% of population)", + "World/Pair/CHN/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/CMR/Health/People using at least basic drinking water services (% of population)", + "World/Latam/COL/Health/People using at least basic drinking water services (% of population)", + "World/Latam/CRI/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/DZA/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/EGY/Health/People using at least basic drinking water services (% of population)", + "World/Europe/ESP/Health/People using at least basic drinking water services (% of population)", + "World/Europe/FRA/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/GHA/Health/People using at least basic drinking water services (% of population)", + "World/Europe/GRC/Health/People using at least basic drinking water services (% of population)", + "World/Europe/HRV/Health/People using at least basic drinking water services (% of population)", + "World/Asia/IDN/Health/People using at least basic drinking water services (% of population)", + "World/Asia/IND/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/IRQ/Health/People using at least basic drinking water services (% of population)", + "World/Asia/KOR/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/LBR/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/MAR/Health/People using at least basic drinking water services (% of population)", + "World/Latam/MEX/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/MOZ/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/NGA/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/OMN/Health/People using at least basic drinking water services (% of population)", + "World/Latam/PAN/Health/People using at least basic drinking water services (% of population)", + "World/Latam/PER/Health/People using at least basic drinking water services (% of population)", + "World/Asia/PHL/Health/People using at least basic drinking water services (% of population)", + "World/Europe/POL/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/QAT/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/SAU/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/SEN/Health/People using at least basic drinking water services (% of population)", + "World/Europe/SWE/Health/People using at least basic drinking water services (% of population)", + "World/Asia/THA/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/TUR/Health/People using at least basic drinking water services (% of population)", + "World/Pair/USA/Health/People using at least basic drinking water services (% of population)", + "World/Latam/VEN/Health/People using at least basic drinking water services (% of population)", + "World/Asia/VNM/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/YEM/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/ZAF/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/ARE/Health/People using at least basic sanitation services (% of population)", + "World/Latam/ARG/Health/People using at least basic sanitation services (% of population)", + "World/Europe/AUT/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/AZE/Health/People using at least basic sanitation services (% of population)", + "World/Asia/BGD/Health/People using at least basic sanitation services (% of population)", + "World/Latam/BRA/Health/People using at least basic sanitation services (% of population)", + "World/Latam/CHL/Health/People using at least basic sanitation services (% of population)", + "World/Pair/CHN/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/CMR/Health/People using at least basic sanitation services (% of population)", + "World/Latam/COL/Health/People using at least basic sanitation services (% of population)", + "World/Latam/CRI/Health/People using at least basic sanitation services (% of population)", + "World/Europe/DEU/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/DZA/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/EGY/Health/People using at least basic sanitation services (% of population)", + "World/Europe/ESP/Health/People using at least basic sanitation services (% of population)", + "World/Europe/FRA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/GBR/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/GHA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/GRC/Health/People using at least basic sanitation services (% of population)", + "World/Europe/HRV/Health/People using at least basic sanitation services (% of population)", + "World/Asia/IDN/Health/People using at least basic sanitation services (% of population)", + "World/Asia/IND/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/IRQ/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/ISR/Health/People using at least basic sanitation services (% of population)", + "World/Asia/KOR/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/LBR/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/MAR/Health/People using at least basic sanitation services (% of population)", + "World/Latam/MEX/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/MOZ/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/NGA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/NLD/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/OMN/Health/People using at least basic sanitation services (% of population)", + "World/Latam/PAN/Health/People using at least basic sanitation services (% of population)", + "World/Latam/PER/Health/People using at least basic sanitation services (% of population)", + "World/Asia/PHL/Health/People using at least basic sanitation services (% of population)", + "World/Europe/POL/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/SAU/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/SEN/Health/People using at least basic sanitation services (% of population)", + "World/Europe/SWE/Health/People using at least basic sanitation services (% of population)", + "World/Asia/THA/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/TUR/Health/People using at least basic sanitation services (% of population)", + "World/Pair/USA/Health/People using at least basic sanitation services (% of population)", + "World/Latam/VEN/Health/People using at least basic sanitation services (% of population)", + "World/Asia/VNM/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/YEM/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/ZAF/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/ARE/Health/People using safely managed sanitation services (% of population)", + "World/Latam/ARG/Health/People using safely managed sanitation services (% of population)", + "World/Europe/AUT/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/AZE/Health/People using safely managed sanitation services (% of population)", + "World/Asia/BGD/Health/People using safely managed sanitation services (% of population)", + "World/Latam/BRA/Health/People using safely managed sanitation services (% of population)", + "World/Latam/CHL/Health/People using safely managed sanitation services (% of population)", + "World/Pair/CHN/Health/People using safely managed sanitation services (% of population)", + "World/Latam/COL/Health/People using safely managed sanitation services (% of population)", + "World/Latam/CRI/Health/People using safely managed sanitation services (% of population)", + "World/Europe/DEU/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/DZA/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/EGY/Health/People using safely managed sanitation services (% of population)", + "World/Europe/FRA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/GBR/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/GHA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/GRC/Health/People using safely managed sanitation services (% of population)", + "World/Asia/IND/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/ISR/Health/People using safely managed sanitation services (% of population)", + "World/Asia/KOR/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/MAR/Health/People using safely managed sanitation services (% of population)", + "World/Latam/MEX/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/NGA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/NLD/Health/People using safely managed sanitation services (% of population)", + "World/Latam/PER/Health/People using safely managed sanitation services (% of population)", + "World/Asia/PHL/Health/People using safely managed sanitation services (% of population)", + "World/Europe/POL/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/QAT/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/SAU/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/SEN/Health/People using safely managed sanitation services (% of population)", + "World/Europe/SWE/Health/People using safely managed sanitation services (% of population)", + "World/Asia/THA/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/TUR/Health/People using safely managed sanitation services (% of population)", + "World/Pair/USA/Health/People using safely managed sanitation services (% of population)", + "World/Latam/VEN/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/YEM/Health/People using safely managed sanitation services (% of population)", + "World/Europe/AUT/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Permanent cropland (% of land area)", + "World/Latam/CHL/Agriculture/Permanent cropland (% of land area)", + "World/Pair/CHN/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/CMR/Agriculture/Permanent cropland (% of land area)", + "World/Latam/COL/Agriculture/Permanent cropland (% of land area)", + "World/Latam/CRI/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/DZA/Agriculture/Permanent cropland (% of land area)", + "World/Europe/FRA/Agriculture/Permanent cropland (% of land area)", + "World/Europe/GRC/Agriculture/Permanent cropland (% of land area)", + "World/Asia/IDN/Agriculture/Permanent cropland (% of land area)", + "World/Asia/IND/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/MAR/Agriculture/Permanent cropland (% of land area)", + "World/Latam/MEX/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/MOZ/Agriculture/Permanent cropland (% of land area)", + "World/Europe/NLD/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/OMN/Agriculture/Permanent cropland (% of land area)", + "World/Latam/PER/Agriculture/Permanent cropland (% of land area)", + "World/Asia/PHL/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/SEN/Agriculture/Permanent cropland (% of land area)", + "World/Asia/THA/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/TUR/Agriculture/Permanent cropland (% of land area)", + "World/Asia/VNM/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/ZAF/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/ARE/Demography/Population ages 0-14 (% of total population)", + "World/Latam/ARG/Demography/Population ages 0-14 (% of total population)", + "World/Europe/AUT/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/AZE/Demography/Population ages 0-14 (% of total population)", + "World/Asia/BGD/Demography/Population ages 0-14 (% of total population)", + "World/Latam/BRA/Demography/Population ages 0-14 (% of total population)", + "World/Latam/CHL/Demography/Population ages 0-14 (% of total population)", + "World/Pair/CHN/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/CMR/Demography/Population ages 0-14 (% of total population)", + "World/Latam/COL/Demography/Population ages 0-14 (% of total population)", + "World/Latam/CRI/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/EGY/Demography/Population ages 0-14 (% of total population)", + "World/Europe/FRA/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/GHA/Demography/Population ages 0-14 (% of total population)", + "World/Europe/HRV/Demography/Population ages 0-14 (% of total population)", + "World/Asia/IDN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/IND/Demography/Population ages 0-14 (% of total population)", + "World/Asia/KOR/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/MAR/Demography/Population ages 0-14 (% of total population)", + "World/Latam/MEX/Demography/Population ages 0-14 (% of total population)", + "World/Europe/NLD/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/OMN/Demography/Population ages 0-14 (% of total population)", + "World/Latam/PAN/Demography/Population ages 0-14 (% of total population)", + "World/Latam/PER/Demography/Population ages 0-14 (% of total population)", + "World/Asia/PHL/Demography/Population ages 0-14 (% of total population)", + "World/Europe/POL/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/SAU/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/SEN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/THA/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/TUR/Demography/Population ages 0-14 (% of total population)", + "World/Pair/USA/Demography/Population ages 0-14 (% of total population)", + "World/Latam/VEN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/VNM/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/ARE/Demography/Population ages 15-64 (% of total population)", + "World/Latam/ARG/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/AZE/Demography/Population ages 15-64 (% of total population)", + "World/Asia/BGD/Demography/Population ages 15-64 (% of total population)", + "World/Latam/BRA/Demography/Population ages 15-64 (% of total population)", + "World/Latam/CHL/Demography/Population ages 15-64 (% of total population)", + "World/Pair/CHN/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/CMR/Demography/Population ages 15-64 (% of total population)", + "World/Latam/COL/Demography/Population ages 15-64 (% of total population)", + "World/Latam/CRI/Demography/Population ages 15-64 (% of total population)", + "World/Europe/DEU/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/EGY/Demography/Population ages 15-64 (% of total population)", + "World/Europe/FRA/Demography/Population ages 15-64 (% of total population)", + "World/Europe/GBR/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/GHA/Demography/Population ages 15-64 (% of total population)", + "World/Europe/GRC/Demography/Population ages 15-64 (% of total population)", + "World/Asia/IDN/Demography/Population ages 15-64 (% of total population)", + "World/Asia/IND/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/ISR/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/MAR/Demography/Population ages 15-64 (% of total population)", + "World/Latam/MEX/Demography/Population ages 15-64 (% of total population)", + "World/Europe/NLD/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/OMN/Demography/Population ages 15-64 (% of total population)", + "World/Latam/PAN/Demography/Population ages 15-64 (% of total population)", + "World/Latam/PER/Demography/Population ages 15-64 (% of total population)", + "World/Asia/PHL/Demography/Population ages 15-64 (% of total population)", + "World/Europe/POL/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/SAU/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/SEN/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/TUR/Demography/Population ages 15-64 (% of total population)", + "World/Pair/USA/Demography/Population ages 15-64 (% of total population)", + "World/Latam/VEN/Demography/Population ages 15-64 (% of total population)", + "World/Asia/VNM/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/ARE/Demography/Population ages 65 and above (% of total population)", + "World/Latam/ARG/Demography/Population ages 65 and above (% of total population)", + "World/Europe/AUT/Demography/Population ages 65 and above (% of total population)", + "World/Asia/BGD/Demography/Population ages 65 and above (% of total population)", + "World/Latam/BRA/Demography/Population ages 65 and above (% of total population)", + "World/Latam/CHL/Demography/Population ages 65 and above (% of total population)", + "World/Pair/CHN/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/CMR/Demography/Population ages 65 and above (% of total population)", + "World/Latam/COL/Demography/Population ages 65 and above (% of total population)", + "World/Latam/CRI/Demography/Population ages 65 and above (% of total population)", + "World/Europe/DEU/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/DZA/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/EGY/Demography/Population ages 65 and above (% of total population)", + "World/Europe/FRA/Demography/Population ages 65 and above (% of total population)", + "World/Europe/GBR/Demography/Population ages 65 and above (% of total population)", + "World/Europe/GRC/Demography/Population ages 65 and above (% of total population)", + "World/Europe/HRV/Demography/Population ages 65 and above (% of total population)", + "World/Asia/IDN/Demography/Population ages 65 and above (% of total population)", + "World/Asia/IND/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/ISR/Demography/Population ages 65 and above (% of total population)", + "World/Asia/KOR/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/MAR/Demography/Population ages 65 and above (% of total population)", + "World/Latam/MEX/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/MOZ/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/NGA/Demography/Population ages 65 and above (% of total population)", + "World/Europe/NLD/Demography/Population ages 65 and above (% of total population)", + "World/Latam/PAN/Demography/Population ages 65 and above (% of total population)", + "World/Latam/PER/Demography/Population ages 65 and above (% of total population)", + "World/Asia/PHL/Demography/Population ages 65 and above (% of total population)", + "World/Europe/POL/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 65 and above (% of total population)", + "World/Asia/THA/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/TUR/Demography/Population ages 65 and above (% of total population)", + "World/Pair/USA/Demography/Population ages 65 and above (% of total population)", + "World/Latam/VEN/Demography/Population ages 65 and above (% of total population)", + "World/Asia/VNM/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/ARE/Demography/Population in largest city", + "World/Latam/ARG/Demography/Population in largest city", + "World/Europe/AUT/Demography/Population in largest city", + "World/Persian Gulf/AZE/Demography/Population in largest city", + "World/Asia/BGD/Demography/Population in largest city", + "World/Latam/BRA/Demography/Population in largest city", + "World/Latam/CHL/Demography/Population in largest city", + "World/Pair/CHN/Demography/Population in largest city", + "World/South Africa/CMR/Demography/Population in largest city", + "World/Latam/COL/Demography/Population in largest city", + "World/Latam/CRI/Demography/Population in largest city", + "World/North Africa/DZA/Demography/Population in largest city", + "World/North Africa/EGY/Demography/Population in largest city", + "World/Europe/ESP/Demography/Population in largest city", + "World/Europe/FRA/Demography/Population in largest city", + "World/Europe/GBR/Demography/Population in largest city", + "World/South Africa/GHA/Demography/Population in largest city", + "World/Europe/GRC/Demography/Population in largest city", + "World/Europe/HRV/Demography/Population in largest city", + "World/Asia/IDN/Demography/Population in largest city", + "World/Asia/IND/Demography/Population in largest city", + "World/North Africa/ISR/Demography/Population in largest city", + "World/North Africa/MAR/Demography/Population in largest city", + "World/Latam/MEX/Demography/Population in largest city", + "World/South Africa/MOZ/Demography/Population in largest city", + "World/South Africa/NGA/Demography/Population in largest city", + "World/Europe/NLD/Demography/Population in largest city", + "World/Persian Gulf/OMN/Demography/Population in largest city", + "World/Latam/PAN/Demography/Population in largest city", + "World/Latam/PER/Demography/Population in largest city", + "World/Asia/PHL/Demography/Population in largest city", + "World/Europe/POL/Demography/Population in largest city", + "World/Persian Gulf/QAT/Demography/Population in largest city", + "World/Persian Gulf/SAU/Demography/Population in largest city", + "World/South Africa/SEN/Demography/Population in largest city", + "World/Asia/THA/Demography/Population in largest city", + "World/North Africa/TUR/Demography/Population in largest city", + "World/Pair/USA/Demography/Population in largest city", + "World/Latam/VEN/Demography/Population in largest city", + "World/Asia/VNM/Demography/Population in largest city", + "World/Persian Gulf/YEM/Demography/Population in largest city", + "World/South Africa/ZAF/Demography/Population in largest city", + "World/Persian Gulf/ARE/Demography/Population in the largest city (% of urban population)", + "World/Latam/ARG/Demography/Population in the largest city (% of urban population)", + "World/Europe/AUT/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/AZE/Demography/Population in the largest city (% of urban population)", + "World/Asia/BGD/Demography/Population in the largest city (% of urban population)", + "World/Latam/CHL/Demography/Population in the largest city (% of urban population)", + "World/South Africa/CMR/Demography/Population in the largest city (% of urban population)", + "World/Latam/COL/Demography/Population in the largest city (% of urban population)", + "World/Latam/CRI/Demography/Population in the largest city (% of urban population)", + "World/North Africa/DZA/Demography/Population in the largest city (% of urban population)", + "World/North Africa/EGY/Demography/Population in the largest city (% of urban population)", + "World/Europe/FRA/Demography/Population in the largest city (% of urban population)", + "World/Europe/GBR/Demography/Population in the largest city (% of urban population)", + "World/Asia/IDN/Demography/Population in the largest city (% of urban population)", + "World/Asia/IND/Demography/Population in the largest city (% of urban population)", + "World/North Africa/ISR/Demography/Population in the largest city (% of urban population)", + "World/Asia/KOR/Demography/Population in the largest city (% of urban population)", + "World/North Africa/MAR/Demography/Population in the largest city (% of urban population)", + "World/Latam/MEX/Demography/Population in the largest city (% of urban population)", + "World/South Africa/MOZ/Demography/Population in the largest city (% of urban population)", + "World/South Africa/NGA/Demography/Population in the largest city (% of urban population)", + "World/Europe/NLD/Demography/Population in the largest city (% of urban population)", + "World/Latam/PAN/Demography/Population in the largest city (% of urban population)", + "World/Latam/PER/Demography/Population in the largest city (% of urban population)", + "World/Europe/POL/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/QAT/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/SAU/Demography/Population in the largest city (% of urban population)", + "World/South Africa/SEN/Demography/Population in the largest city (% of urban population)", + "World/North Africa/TUR/Demography/Population in the largest city (% of urban population)", + "World/Pair/USA/Demography/Population in the largest city (% of urban population)", + "World/Latam/VEN/Demography/Population in the largest city (% of urban population)", + "World/Asia/VNM/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/YEM/Demography/Population in the largest city (% of urban population)", + "World/South Africa/ZAF/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/CHL/Demography/Population in urban agglomerations of more than 1 million", + "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/DEU/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/EGY/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/ESP/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/FRA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/ISR/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/NLD/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/OMN/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/PHL/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/SEN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million", + "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/VEN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/AZE/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/BGD/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/CHL/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Pair/CHN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/CMR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/EGY/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Europe/GBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/GHA/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/IDN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/IND/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/LBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/MAR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/MOZ/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/PAN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/PER/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/SEN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Europe/SWE/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/THA/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/TUR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/VNM/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Persian Gulf/YEM/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/ZAF/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Persian Gulf/ARE/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/AZE/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/BGD/Health/Pregnant women receiving prenatal care (%)", + "World/Pair/CHN/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/CMR/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/COL/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/CRI/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/DZA/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/EGY/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/IDN/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/IND/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/LBR/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/MAR/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/MOZ/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/NGA/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/PER/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/PHL/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/QAT/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/SAU/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/SEN/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/TUR/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/VEN/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/VNM/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/YEM/Health/Pregnant women receiving prenatal care (%)", + "World/Europe/AUT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/BGD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/BRA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Pair/CHN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/CMR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/COL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/CRI/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/DEU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/DZA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/EGY/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/ESP/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/GBR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/GHA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/GRC/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/IND/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/ISR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/MAR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/MEX/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/MOZ/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/NGA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/NLD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/PAN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/PER/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/PHL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/SEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Pair/USA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/VEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/VNM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/BGD/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/BRA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/CHL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Pair/CHN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/CMR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/COL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/CRI/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/DZA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/EGY/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/ESP/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/GBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/GHA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/ISR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/KOR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/LBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/MAR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/MEX/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/MOZ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/NGA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/NLD/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/PAN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/PER/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/PHL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/SEN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/THA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Pair/USA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/VEN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/VNM/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/ZAF/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/ARE/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/ARG/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/BGD/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/BRA/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/CHL/Health/Prevalence of anemia among pregnant women (%)", + "World/Pair/CHN/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/CMR/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/COL/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/CRI/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/DZA/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/EGY/Health/Prevalence of anemia among pregnant women (%)", + "World/Europe/GBR/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/GHA/Health/Prevalence of anemia among pregnant women (%)", + "World/Europe/HRV/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/IND/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/ISR/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/KOR/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/LBR/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/MAR/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/MEX/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/MOZ/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/NGA/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/PAN/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/PER/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/PHL/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/SEN/Health/Prevalence of anemia among pregnant women (%)", + "World/Pair/USA/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/VEN/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/VNM/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/ZAF/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/ARG/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/BGD/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/BRA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/CHL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Pair/CHN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/CMR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/COL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/CRI/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/DZA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/EGY/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/ESP/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/FRA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/GBR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/GHA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/GRC/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/ISR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/KOR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/LBR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/MAR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/MEX/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/MOZ/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/NGA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/NLD/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/PAN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/PER/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/PHL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/SEN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/THA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Pair/USA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/VEN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/VNM/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/ZAF/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/ARG/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/AUT/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/AZE/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/BGD/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/BRA/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/CHL/Health/Prevalence of current tobacco use (% of adults)", + "World/Pair/CHN/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/CMR/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/COL/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/CRI/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/DEU/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/DZA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/ESP/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/FRA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/GBR/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/GHA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/GRC/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/HRV/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/IDN/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/IND/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/IRQ/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/ISR/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/KOR/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/LBR/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/MAR/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/MEX/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/MOZ/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/NGA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/NLD/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/OMN/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/PAN/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/PER/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/PHL/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/POL/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/QAT/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/SEN/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/SWE/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/THA/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/TUR/Health/Prevalence of current tobacco use (% of adults)", + "World/Pair/USA/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/VNM/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/YEM/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/ZAF/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/ARG/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/AZE/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/BGD/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/CHL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Pair/CHN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/COL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/CRI/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/DZA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/EGY/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/GRC/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/IDN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/IND/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/KOR/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/MAR/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/MEX/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/South Africa/NGA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/NLD/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/OMN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/PAN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/PER/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/PHL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/POL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/QAT/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/SAU/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/THA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Pair/USA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/VEN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/VNM/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/YEM/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/South Africa/ZAF/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/AZE/Health/Prevalence of undernourishment (% of population)", + "World/Asia/BGD/Health/Prevalence of undernourishment (% of population)", + "World/Latam/BRA/Health/Prevalence of undernourishment (% of population)", + "World/Pair/CHN/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/CMR/Health/Prevalence of undernourishment (% of population)", + "World/North Africa/DZA/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/GHA/Health/Prevalence of undernourishment (% of population)", + "World/Asia/IDN/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/IRQ/Health/Prevalence of undernourishment (% of population)", + "World/North Africa/MAR/Health/Prevalence of undernourishment (% of population)", + "World/Latam/MEX/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/MOZ/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/NGA/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/OMN/Health/Prevalence of undernourishment (% of population)", + "World/Latam/PAN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/PHL/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/SEN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/THA/Health/Prevalence of undernourishment (% of population)", + "World/Latam/VEN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/VNM/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/YEM/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/ARE/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Persian Gulf/AZE/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Asia/BGD/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Latam/BRA/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Pair/CHN/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/South Africa/CMR/Economy/Price level ratio of PPP conversion factor (GDP) to market 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"World/Pair/USA/Economy/Primary income receipts (BoP, current US$)", + "World/Asia/VNM/Economy/Primary income receipts (BoP, current US$)", + "World/Persian Gulf/YEM/Economy/Primary income receipts (BoP, current US$)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/AZE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/BRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/CRI/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/MEX/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South 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(per 1,000)", + "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/NGA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/NLD/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/OMN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/PAN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/PER/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/PHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/POL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/QAT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/SAU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/SEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/VEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/AZE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/BRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/CRI/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/MEX/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South 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"World/Europe/SWE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/NGA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/NLD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/OMN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/PAN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/PER/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/PHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/POL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/QAT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/SAU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/SEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/VEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/ARG/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/AZE/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/CHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Pair/CHN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/COL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket 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"World/Latam/MEX/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/South Africa/MOZ/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/South Africa/NGA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/PAN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/PER/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Asia/PHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/SAU/Economy/Proportion of 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household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/AZE/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/BGD/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/BRA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/CHL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Pair/CHN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/CMR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/DZA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/EGY/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Europe/GBR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/GHA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/IND/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/ISR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/KOR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/MEX/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/MOZ/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/PAN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/PHL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Europe/POL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/SEN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/THA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/TUR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Pair/USA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/VNM/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/GHA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/IND/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/NGA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Pair/CHN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/POL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/VEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/ARE/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/ARG/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/BGD/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Pair/CHN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/CRI/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/DEU/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/EGY/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/GBR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/GHA/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/GRC/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/IDN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/IND/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/KOR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/MAR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/MEX/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/MOZ/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/NLD/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/PAN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/PHL/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/POL/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Persian Gulf/SAU/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/SWE/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/TUR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Pair/USA/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/VNM/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/ZAF/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Persian Gulf/ARE/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/ARG/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/AUT/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/AZE/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/BGD/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/BRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/CHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Pair/CHN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/CMR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/COL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/CRI/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/DZA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/EGY/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/ESP/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/FRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/GBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/GHA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/IDN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/IND/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/ISR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/KOR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/LBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/MAR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/MEX/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/MOZ/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/NGA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/NLD/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/OMN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/PAN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/PER/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/PHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/POL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/QAT/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/SAU/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/SEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/THA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/TUR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Pair/USA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/VEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/VNM/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/YEM/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/ZAF/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/AUT/R&D/Researchers in R&D (per million people)", + "World/Latam/BRA/R&D/Researchers in R&D (per million people)", + "World/Pair/CHN/R&D/Researchers in R&D (per million people)", + "World/Europe/DEU/R&D/Researchers in R&D (per million people)", + "World/North Africa/DZA/R&D/Researchers in R&D (per million people)", + "World/Europe/ESP/R&D/Researchers in R&D (per million people)", + "World/Europe/FRA/R&D/Researchers in R&D (per million people)", + "World/Europe/GBR/R&D/Researchers in R&D (per million people)", + "World/South Africa/GHA/R&D/Researchers in R&D (per million people)", + "World/Europe/GRC/R&D/Researchers in R&D (per million people)", + "World/Asia/IND/R&D/Researchers in R&D (per million people)", + "World/Asia/KOR/R&D/Researchers in R&D (per million people)", + "World/North Africa/MAR/R&D/Researchers in R&D (per million people)", + "World/South Africa/MOZ/R&D/Researchers in R&D (per million people)", + "World/Europe/NLD/R&D/Researchers in R&D (per million people)", + "World/Persian Gulf/OMN/R&D/Researchers in R&D (per million people)", + "World/Asia/PHL/R&D/Researchers in R&D (per million people)", + "World/Europe/POL/R&D/Researchers in R&D (per million people)", + "World/Asia/THA/R&D/Researchers in R&D (per million people)", + "World/North Africa/TUR/R&D/Researchers in R&D (per million people)", + "World/Pair/USA/R&D/Researchers in R&D (per million people)", + "World/Latam/VEN/R&D/Researchers in R&D (per million people)", + "World/Persian Gulf/AZE/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/BGD/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/BRA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/CHL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Pair/CHN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/CRI/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/North Africa/EGY/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Europe/ESP/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/South Africa/GHA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/IND/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/KOR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/North Africa/MAR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/MEX/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/PAN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/PER/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Europe/POL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/THA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Pair/USA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/VNM/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Persian Gulf/AZE/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/BGD/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/BRA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/CHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Pair/CHN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/CMR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/COL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/CRI/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/DZA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/EGY/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/GHA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/IDN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/IND/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/MAR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/MEX/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/MOZ/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/PAN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/PER/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/PHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Europe/POL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/SEN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/THA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/VNM/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Persian Gulf/ARE/Demography/Rural population", + "World/Latam/ARG/Demography/Rural population", + "World/Europe/AUT/Demography/Rural population", + "World/Persian Gulf/AZE/Demography/Rural population", + "World/Asia/BGD/Demography/Rural population", + "World/Latam/BRA/Demography/Rural population", + "World/Pair/CHN/Demography/Rural population", + "World/South Africa/CMR/Demography/Rural population", + "World/Latam/COL/Demography/Rural population", + "World/Latam/CRI/Demography/Rural population", + "World/North Africa/DZA/Demography/Rural population", + "World/North Africa/EGY/Demography/Rural population", + "World/Europe/FRA/Demography/Rural population", + "World/Europe/GBR/Demography/Rural population", + "World/South Africa/GHA/Demography/Rural population", + "World/Europe/GRC/Demography/Rural population", + "World/Europe/HRV/Demography/Rural population", + "World/Asia/IDN/Demography/Rural population", + "World/Asia/IND/Demography/Rural population", + "World/North Africa/ISR/Demography/Rural population", + "World/South Africa/LBR/Demography/Rural population", + "World/North Africa/MAR/Demography/Rural population", + "World/South Africa/MOZ/Demography/Rural population", + "World/South Africa/NGA/Demography/Rural population", + "World/Europe/NLD/Demography/Rural population", + "World/Persian Gulf/OMN/Demography/Rural population", + "World/Latam/PAN/Demography/Rural population", + "World/Asia/PHL/Demography/Rural population", + "World/Europe/POL/Demography/Rural population", + "World/Persian Gulf/QAT/Demography/Rural population", + "World/Persian Gulf/SAU/Demography/Rural population", + "World/South Africa/SEN/Demography/Rural population", + "World/North Africa/TUR/Demography/Rural population", + "World/Pair/USA/Demography/Rural population", + "World/Asia/VNM/Demography/Rural population", + "World/Persian Gulf/YEM/Demography/Rural population", + "World/Persian Gulf/ARE/Demography/Rural population (% of total population)", + "World/Latam/ARG/Demography/Rural population (% of total population)", + "World/Persian Gulf/AZE/Demography/Rural population (% of total population)", + "World/Asia/BGD/Demography/Rural population (% of total population)", + "World/Latam/BRA/Demography/Rural population (% of total population)", + "World/Latam/CHL/Demography/Rural population (% of total population)", + "World/Pair/CHN/Demography/Rural population (% of total population)", + "World/South Africa/CMR/Demography/Rural population (% of total population)", + "World/Latam/COL/Demography/Rural population (% of total population)", + "World/Latam/CRI/Demography/Rural population (% of total population)", + "World/Europe/DEU/Demography/Rural population (% of total population)", + "World/North Africa/DZA/Demography/Rural population (% of total population)", + "World/Europe/ESP/Demography/Rural population (% of total population)", + "World/Europe/FRA/Demography/Rural population (% of total population)", + "World/Europe/GBR/Demography/Rural population (% of total population)", + "World/South Africa/GHA/Demography/Rural population (% of total population)", + "World/Europe/GRC/Demography/Rural population (% of total population)", + "World/Europe/HRV/Demography/Rural population (% of total population)", + "World/Asia/IDN/Demography/Rural population (% of total population)", + "World/Asia/IND/Demography/Rural population (% of total population)", + "World/Persian Gulf/IRQ/Demography/Rural population (% of total population)", + "World/North Africa/ISR/Demography/Rural population (% of total population)", + "World/South Africa/LBR/Demography/Rural population (% of total population)", + "World/North Africa/MAR/Demography/Rural population (% of total population)", + "World/Latam/MEX/Demography/Rural population (% of total population)", + "World/South Africa/MOZ/Demography/Rural population (% of total population)", + "World/South Africa/NGA/Demography/Rural population (% of total population)", + "World/Europe/NLD/Demography/Rural population (% of total population)", + "World/Persian Gulf/OMN/Demography/Rural population (% of total population)", + "World/Latam/PAN/Demography/Rural population (% of total population)", + "World/Latam/PER/Demography/Rural population (% of total population)", + "World/Europe/POL/Demography/Rural population (% of total population)", + "World/Persian Gulf/QAT/Demography/Rural population (% of total population)", + "World/Persian Gulf/SAU/Demography/Rural population (% of total population)", + "World/South Africa/SEN/Demography/Rural population (% of total population)", + "World/Asia/THA/Demography/Rural population (% of total population)", + "World/North Africa/TUR/Demography/Rural population (% of total population)", + "World/Pair/USA/Demography/Rural population (% of total population)", + "World/Latam/VEN/Demography/Rural population (% of total population)", + "World/Asia/VNM/Demography/Rural population (% of total population)", + "World/Persian Gulf/YEM/Demography/Rural population (% of total population)", + "World/South Africa/ZAF/Demography/Rural population (% of total population)", + "World/Persian Gulf/ARE/industry/Scientific and technical journal articles", + "World/Latam/ARG/industry/Scientific and technical journal articles", + "World/Europe/AUT/industry/Scientific and technical journal articles", + "World/Persian Gulf/AZE/industry/Scientific and technical journal articles", + "World/Asia/BGD/industry/Scientific and technical journal articles", + "World/Latam/BRA/industry/Scientific and technical journal articles", + "World/Latam/CHL/industry/Scientific and technical journal articles", + "World/Pair/CHN/industry/Scientific and technical journal articles", + "World/South Africa/CMR/industry/Scientific and technical journal articles", + "World/Latam/COL/industry/Scientific and technical journal articles", + "World/Latam/CRI/industry/Scientific and technical journal articles", + "World/North Africa/DZA/industry/Scientific 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+ "World/Europe/ESP/Imports/Service imports (BoP, current US$)", + "World/Europe/FRA/Imports/Service imports (BoP, current US$)", + "World/Europe/GBR/Imports/Service imports (BoP, current US$)", + "World/South Africa/GHA/Imports/Service imports (BoP, current US$)", + "World/Europe/HRV/Imports/Service imports (BoP, current US$)", + "World/Asia/IDN/Imports/Service imports (BoP, current US$)", + "World/Asia/IND/Imports/Service imports (BoP, current US$)", + "World/North Africa/ISR/Imports/Service imports (BoP, current US$)", + "World/Asia/KOR/Imports/Service imports (BoP, current US$)", + "World/North Africa/MAR/Imports/Service imports (BoP, current US$)", + "World/Latam/MEX/Imports/Service imports (BoP, current US$)", + "World/South Africa/MOZ/Imports/Service imports (BoP, current US$)", + "World/South Africa/NGA/Imports/Service imports (BoP, current US$)", + "World/Europe/NLD/Imports/Service imports (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Service imports (BoP, current 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"World/Asia/BGD/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/BRA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/CHL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Pair/CHN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/COL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/DZA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/EGY/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/IDN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/IND/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/MAR/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/MEX/Mortality/Suicide mortality rate (per 100,000 population)", + "World/South Africa/NGA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/PAN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/PHL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Europe/POL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/QAT/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/SAU/Mortality/Suicide mortality rate (per 100,000 population)", + "World/South Africa/SEN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/TUR/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Pair/USA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/VEN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/VNM/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/YEM/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/ARG/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/AUT/Taxes/Taxes less subsidies on products (current US$)", + "World/Persian Gulf/AZE/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/BGD/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/BRA/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/CHL/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/CMR/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/COL/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/CRI/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/DEU/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/DZA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/ESP/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/FRA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/GBR/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/GHA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/GRC/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/HRV/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/IND/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/ISR/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/KOR/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/MAR/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/MEX/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/MOZ/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/NGA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/NLD/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/PAN/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/PER/Taxes/Taxes less subsidies on products (current US$)", + 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"World/Asia/THA/Economy/Taxes on international trade (% of revenue)", + "World/Latam/ARG/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/AUT/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Asia/BGD/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/CHL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Pair/CHN/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/COL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/CRI/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/DEU/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/DZA/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/ESP/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/FRA/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/GBR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/GRC/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/ISR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Asia/KOR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/MAR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/MEX/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Persian Gulf/OMN/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/PER/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/POL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/SWE/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Pair/USA/Industry/Textiles and clothing 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requirements of government regulations (% of senior management time)", + "World/South Africa/NGA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/PAN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/PER/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/PHL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Europe/POL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/South Africa/SEN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/THA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/North Africa/TUR/R&D/Time spent dealing with the 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projected estimates, 15+ years of age)", + "World/Asia/IND/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/North Africa/ISR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/KOR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/North Africa/MAR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/MEX/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/South Africa/MOZ/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/South Africa/NGA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/NLD/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/OMN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/PAN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/POL/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/QAT/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/THA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Pair/USA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/VEN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/VNM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/YEM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/ARE/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/AZE/Industry/Total fisheries production (metric tons)", + "World/Asia/BGD/Industry/Total fisheries production (metric tons)", + "World/Latam/BRA/Industry/Total fisheries production (metric tons)", + "World/Latam/CHL/Industry/Total fisheries production (metric tons)", + "World/Pair/CHN/Industry/Total fisheries production (metric tons)", + "World/South Africa/CMR/Industry/Total fisheries production (metric tons)", + "World/Latam/CRI/Industry/Total fisheries production (metric tons)", + "World/North Africa/EGY/Industry/Total fisheries production (metric tons)", + "World/Europe/HRV/Industry/Total fisheries production (metric tons)", + "World/Asia/IDN/Industry/Total fisheries production (metric tons)", + "World/Asia/IND/Industry/Total fisheries production (metric tons)", + "World/North Africa/ISR/Industry/Total fisheries production (metric tons)", + "World/North Africa/MAR/Industry/Total fisheries production (metric tons)", + "World/Latam/MEX/Industry/Total fisheries production (metric tons)", + "World/South Africa/MOZ/Industry/Total fisheries production (metric tons)", + "World/South Africa/NGA/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/OMN/Industry/Total fisheries production (metric tons)", + "World/Asia/PHL/Industry/Total fisheries production (metric tons)", + "World/Europe/POL/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/SAU/Industry/Total fisheries production (metric tons)", + "World/Asia/THA/Industry/Total fisheries production (metric tons)", + "World/Asia/VNM/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/BGD/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/CHL/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Pair/CHN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/CRI/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/DZA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/EGY/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/GBR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/HRV/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/IND/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/IRQ/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/ISR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/KOR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/MAR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/MEX/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/NLD/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/PAN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/PHL/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/SWE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/THA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/TUR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Pair/USA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/VNM/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/BGD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/BRA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/CHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Pair/CHN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/CMR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/COL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/CRI/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/DEU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/DZA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/EGY/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/GBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/GHA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/GRC/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/IDN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/IND/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/ISR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/KOR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/LBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/MAR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/MEX/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/NGA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/NLD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/PAN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/PER/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/PHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/SAU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/SEN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/SWE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/THA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/TUR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/VNM/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/ARE/Economy/Total reserves (includes gold, current US$)", + "World/Asia/BGD/Economy/Total reserves (includes gold, current US$)", + "World/Latam/BRA/Economy/Total reserves (includes gold, current US$)", + "World/Latam/CHL/Economy/Total reserves (includes gold, current US$)", + "World/Pair/CHN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/COL/Economy/Total reserves (includes gold, current US$)", + "World/Latam/CRI/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/DZA/Economy/Total reserves (includes gold, current US$)", + "World/Europe/ESP/Economy/Total reserves (includes gold, current US$)", + "World/Europe/FRA/Economy/Total reserves (includes gold, current US$)", + "World/Europe/GBR/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/GHA/Economy/Total reserves (includes gold, current US$)", + "World/Asia/IDN/Economy/Total reserves (includes gold, current US$)", + "World/Asia/IND/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/IRQ/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/ISR/Economy/Total reserves (includes gold, current US$)", + "World/Asia/KOR/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/LBR/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/MAR/Economy/Total reserves (includes gold, current US$)", + "World/Latam/MEX/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/MOZ/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/OMN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/PAN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/PER/Economy/Total reserves (includes gold, current US$)", + "World/Asia/PHL/Economy/Total reserves (includes gold, current US$)", + "World/Europe/POL/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/QAT/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/SAU/Economy/Total reserves (includes gold, current US$)", + "World/Europe/SWE/Economy/Total reserves (includes gold, current US$)", + "World/Asia/THA/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/TUR/Economy/Total reserves (includes gold, current US$)", + "World/Pair/USA/Economy/Total reserves (includes gold, current US$)", + "World/Latam/VEN/Economy/Total reserves (includes gold, current US$)", + "World/Asia/VNM/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/ZAF/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/ARE/Economy/Total reserves minus gold (current US$)", + "World/Asia/BGD/Economy/Total reserves minus gold (current US$)", + "World/Latam/BRA/Economy/Total reserves minus gold (current US$)", + "World/Latam/CHL/Economy/Total reserves minus gold (current US$)", + "World/Pair/CHN/Economy/Total reserves minus gold (current US$)", + "World/Latam/COL/Economy/Total reserves minus gold (current US$)", + "World/Latam/CRI/Economy/Total reserves minus gold (current US$)", + "World/North Africa/DZA/Economy/Total reserves minus gold (current US$)", + "World/Europe/FRA/Economy/Total reserves minus gold (current US$)", + "World/Europe/GBR/Economy/Total reserves minus gold (current US$)", + "World/South Africa/GHA/Economy/Total reserves minus gold (current US$)", + "World/Asia/IDN/Economy/Total reserves minus gold (current US$)", + "World/Asia/IND/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/IRQ/Economy/Total reserves minus gold (current US$)", + "World/North Africa/ISR/Economy/Total reserves minus gold (current US$)", + "World/Asia/KOR/Economy/Total reserves minus gold (current US$)", + "World/South Africa/LBR/Economy/Total reserves minus gold (current US$)", + "World/North Africa/MAR/Economy/Total reserves minus gold (current US$)", + "World/Latam/MEX/Economy/Total reserves minus gold (current US$)", + "World/South Africa/MOZ/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/OMN/Economy/Total reserves minus gold (current US$)", + "World/Latam/PAN/Economy/Total reserves minus gold (current US$)", + "World/Latam/PER/Economy/Total reserves minus gold (current US$)", + "World/Asia/PHL/Economy/Total reserves minus gold (current US$)", + "World/Europe/POL/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/QAT/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/SAU/Economy/Total reserves minus gold (current US$)", + "World/Europe/SWE/Economy/Total reserves minus gold (current US$)", + "World/Asia/THA/Economy/Total reserves minus gold (current US$)", + "World/North Africa/TUR/Economy/Total reserves minus gold (current US$)", + "World/Latam/VEN/Economy/Total reserves minus gold (current US$)", + "World/Asia/VNM/Economy/Total reserves minus gold (current US$)", + "World/South Africa/ZAF/Economy/Total reserves minus gold (current US$)", + "World/Latam/ARG/Health/UHC service coverage index", + "World/Europe/AUT/Health/UHC service coverage index", + "World/Persian Gulf/AZE/Health/UHC service coverage index", + "World/Asia/BGD/Health/UHC service coverage index", + "World/Latam/BRA/Health/UHC service coverage index", + "World/Latam/CHL/Health/UHC service coverage index", + "World/Pair/CHN/Health/UHC service coverage index", + "World/South Africa/CMR/Health/UHC service coverage index", + "World/Latam/COL/Health/UHC service coverage index", + "World/Latam/CRI/Health/UHC service coverage index", + "World/Europe/DEU/Health/UHC service coverage index", + "World/North Africa/DZA/Health/UHC service coverage index", + "World/North Africa/EGY/Health/UHC service coverage index", + "World/Europe/ESP/Health/UHC service coverage index", + "World/Europe/FRA/Health/UHC service coverage index", + "World/Europe/GBR/Health/UHC service coverage index", + "World/South Africa/GHA/Health/UHC service coverage index", + "World/Europe/GRC/Health/UHC service coverage index", + "World/Europe/HRV/Health/UHC service coverage index", + "World/Asia/IDN/Health/UHC service coverage index", + "World/Asia/IND/Health/UHC service coverage index", + "World/Persian Gulf/IRQ/Health/UHC service coverage index", + "World/North Africa/ISR/Health/UHC service coverage index", + "World/Asia/KOR/Health/UHC service coverage index", + "World/South Africa/LBR/Health/UHC service coverage index", + "World/North Africa/MAR/Health/UHC service coverage index", + "World/Latam/MEX/Health/UHC service coverage index", + "World/South Africa/MOZ/Health/UHC service coverage index", + "World/South Africa/NGA/Health/UHC service coverage index", + "World/Europe/NLD/Health/UHC service coverage index", + "World/Persian Gulf/OMN/Health/UHC service coverage index", + "World/Latam/PAN/Health/UHC service coverage index", + "World/Latam/PER/Health/UHC service coverage index", + "World/Asia/PHL/Health/UHC service coverage index", + "World/Europe/POL/Health/UHC service coverage index", + "World/Persian Gulf/QAT/Health/UHC service coverage index", + "World/South Africa/SEN/Health/UHC service coverage index", + "World/Europe/SWE/Health/UHC service coverage index", + "World/Asia/THA/Health/UHC service coverage index", + "World/North Africa/TUR/Health/UHC service coverage index", + "World/Pair/USA/Health/UHC service coverage index", + "World/Latam/VEN/Health/UHC service coverage index", + "World/Asia/VNM/Health/UHC service coverage index", + "World/Persian Gulf/YEM/Health/UHC service coverage index", + "World/South Africa/ZAF/Health/UHC service coverage index", + "World/Persian Gulf/ARE/Demography/Urban population", + "World/Latam/ARG/Demography/Urban population", + "World/Persian Gulf/AZE/Demography/Urban population", + "World/Asia/BGD/Demography/Urban population", + "World/Latam/BRA/Demography/Urban population", + "World/Latam/CHL/Demography/Urban population", + "World/Pair/CHN/Demography/Urban population", + "World/South Africa/CMR/Demography/Urban population", + "World/Latam/COL/Demography/Urban population", + "World/Latam/CRI/Demography/Urban population", + "World/North Africa/DZA/Demography/Urban population", + "World/North Africa/EGY/Demography/Urban population", + "World/Europe/ESP/Demography/Urban population", + "World/Europe/FRA/Demography/Urban population", + "World/Europe/GBR/Demography/Urban population", + "World/South Africa/GHA/Demography/Urban population", + "World/Asia/IDN/Demography/Urban population", + "World/Asia/IND/Demography/Urban population", + "World/North Africa/ISR/Demography/Urban population", + "World/Asia/KOR/Demography/Urban population", + "World/South Africa/LBR/Demography/Urban population", + "World/North Africa/MAR/Demography/Urban population", + "World/Latam/MEX/Demography/Urban population", + "World/South Africa/MOZ/Demography/Urban population", + "World/South Africa/NGA/Demography/Urban population", + "World/Europe/NLD/Demography/Urban population", + "World/Persian Gulf/OMN/Demography/Urban population", + "World/Latam/PAN/Demography/Urban population", + "World/Latam/PER/Demography/Urban population", + "World/Asia/PHL/Demography/Urban population", + "World/Europe/POL/Demography/Urban population", + "World/Persian Gulf/QAT/Demography/Urban population", + "World/Persian Gulf/SAU/Demography/Urban population", + "World/South Africa/SEN/Demography/Urban population", + "World/Asia/THA/Demography/Urban population", + "World/North Africa/TUR/Demography/Urban population", + "World/Pair/USA/Demography/Urban population", + "World/Latam/VEN/Demography/Urban population", + "World/Asia/VNM/Demography/Urban population", + "World/Persian Gulf/YEM/Demography/Urban population", + "World/South Africa/ZAF/Demography/Urban population", + "World/Persian Gulf/ARE/Demography/Urban population (% of total population)", + "World/Latam/ARG/Demography/Urban population (% of total population)", + "World/Persian Gulf/AZE/Demography/Urban population (% of total population)", + "World/Asia/BGD/Demography/Urban population (% of total population)", + "World/Latam/BRA/Demography/Urban population (% of total population)", + "World/Latam/CHL/Demography/Urban population (% of total population)", + "World/Pair/CHN/Demography/Urban population (% of total population)", + "World/South Africa/CMR/Demography/Urban population (% of total population)", + "World/Latam/COL/Demography/Urban population (% of total population)", + "World/Latam/CRI/Demography/Urban population (% of total population)", + "World/Europe/DEU/Demography/Urban population (% of total population)", + "World/North Africa/DZA/Demography/Urban population (% of total population)", + "World/Europe/ESP/Demography/Urban population (% of total population)", + "World/Europe/FRA/Demography/Urban population (% of total population)", + "World/Europe/GBR/Demography/Urban population (% of total population)", + "World/South Africa/GHA/Demography/Urban population (% of total population)", + "World/Europe/GRC/Demography/Urban population (% of total population)", + "World/Europe/HRV/Demography/Urban population (% of total population)", + "World/Asia/IDN/Demography/Urban population (% of total population)", + "World/Asia/IND/Demography/Urban population (% of total population)", + "World/Persian Gulf/IRQ/Demography/Urban population (% of total population)", + "World/North Africa/ISR/Demography/Urban population (% of total population)", + "World/South Africa/LBR/Demography/Urban population (% of total population)", + "World/North Africa/MAR/Demography/Urban population (% of total population)", + "World/Latam/MEX/Demography/Urban population (% of total population)", + "World/South Africa/MOZ/Demography/Urban population (% of total population)", + "World/South Africa/NGA/Demography/Urban population (% of total population)", + "World/Europe/NLD/Demography/Urban population (% of total population)", + "World/Persian Gulf/OMN/Demography/Urban population (% of total population)", + "World/Latam/PAN/Demography/Urban population (% of total population)", + "World/Latam/PER/Demography/Urban population (% of total population)", + "World/Europe/POL/Demography/Urban population (% of total population)", + "World/Persian Gulf/QAT/Demography/Urban population (% of total population)", + "World/Persian Gulf/SAU/Demography/Urban population (% of total population)", + "World/South Africa/SEN/Demography/Urban population (% of total population)", + "World/Asia/THA/Demography/Urban population (% of total population)", + "World/North Africa/TUR/Demography/Urban population (% of total population)", + "World/Pair/USA/Demography/Urban population (% of total population)", + "World/Latam/VEN/Demography/Urban population (% of total population)", + "World/Asia/VNM/Demography/Urban population (% of total population)", + "World/Persian Gulf/YEM/Demography/Urban population (% of total population)", + "World/South Africa/ZAF/Demography/Urban population (% of total population)", + "World/Europe/AUT/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/AZE/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/BGD/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/CHL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Pair/CHN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/COL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/CRI/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/DEU/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/DZA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/EGY/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/GBR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/GHA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/HRV/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/IND/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/ISR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/KOR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/MAR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/MEX/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/MOZ/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/NGA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/NLD/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/PAN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/PER/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/PHL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/POL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/SAU/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/SWE/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/THA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/TUR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/VEN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/VNM/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/YEM/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/ZAF/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/ARE/A&D", + "World/Latam/ARG/A&D", + "World/Europe/AUT/A&D", + "World/Persian Gulf/AZE/A&D", + "World/Asia/BGD/A&D", + "World/Latam/BRA/A&D", + "World/Latam/CHL/A&D", + "World/Pair/CHN/A&D", + "World/Latam/CRI/A&D", + "World/North Africa/EGY/A&D", + "World/Europe/GBR/A&D", + "World/South Africa/GHA/A&D", + "World/Europe/HRV/A&D", + "World/Asia/IND/A&D", + "World/North Africa/ISR/A&D", + "World/Asia/KOR/A&D", + "World/North Africa/MAR/A&D", + "World/Latam/MEX/A&D", + "World/South Africa/MOZ/A&D", + "World/South Africa/NGA/A&D", + "World/Europe/NLD/A&D", + "World/Persian Gulf/OMN/A&D", + "World/Latam/PAN/A&D", + "World/Europe/POL/A&D", + "World/Persian Gulf/QAT/A&D", + "World/Asia/THA/A&D", + "World/Pair/USA/A&D", + "World/Latam/VEN/A&D", + "World/Asia/VNM/A&D", + "World/Persian Gulf/YEM/A&D", + "World/Persian Gulf/ARE/Agriculture", + "World/Latam/ARG/Agriculture", + "World/Europe/AUT/Agriculture", + "World/Persian Gulf/AZE/Agriculture", + "World/Asia/BGD/Agriculture", + "World/Latam/BRA/Agriculture", + "World/Latam/CHL/Agriculture", + "World/Pair/CHN/Agriculture", + "World/South Africa/CMR/Agriculture", + "World/Latam/COL/Agriculture", + "World/Latam/CRI/Agriculture", + "World/Europe/DEU/Agriculture", + 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Africa/TUR/Agriculture", + "World/Pair/USA/Agriculture", + "World/Latam/VEN/Agriculture", + "World/Asia/VNM/Agriculture", + "World/Persian Gulf/YEM/Agriculture", + "World/South Africa/ZAF/Agriculture", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Europe/AUT/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/Europe/DEU/Demography", + "World/North Africa/DZA/Demography", + "World/North Africa/EGY/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Europe/GRC/Demography", + "World/Europe/HRV/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/Persian Gulf/IRQ/Demography", + 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Africa/EGY/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/GRC/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/South Africa/NGA/Economy", + "World/Europe/NLD/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/South Africa/SEN/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + 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"World/Europe/GRC/Equality", + "World/Europe/HRV/Equality", + "World/Asia/IND/Equality", + "World/North Africa/ISR/Equality", + "World/Asia/KOR/Equality", + "World/North Africa/MAR/Equality", + "World/Latam/MEX/Equality", + "World/South Africa/MOZ/Equality", + "World/South Africa/NGA/Equality", + "World/Europe/NLD/Equality", + "World/Persian Gulf/OMN/Equality", + "World/Latam/PAN/Equality", + "World/Latam/PER/Equality", + "World/Asia/PHL/Equality", + "World/Europe/POL/Equality", + "World/Persian Gulf/QAT/Equality", + "World/Persian Gulf/SAU/Equality", + "World/South Africa/SEN/Equality", + "World/Europe/SWE/Equality", + "World/Asia/THA/Equality", + "World/North Africa/TUR/Equality", + "World/Pair/USA/Equality", + "World/Latam/VEN/Equality", + "World/Asia/VNM/Equality", + "World/Persian Gulf/YEM/Equality", + "World/South Africa/ZAF/Equality", + "World/Persian Gulf/ARE/Exports", + "World/Europe/AUT/Exports", + "World/Persian Gulf/AZE/Exports", + "World/Asia/BGD/Exports", + 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emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth 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equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita 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health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit 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government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric 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US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise imports (current US$)", + "Merchandise imports 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"Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the 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(% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income 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+ "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane 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tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + 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income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current 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"World/Europe/GRC/Agriculture", + "World/Asia/IDN/Agriculture", + "World/Asia/IND/Agriculture", + "World/Asia/KOR/Agriculture", + "World/South Africa/LBR/Agriculture", + "World/North Africa/MAR/Agriculture", + "World/South Africa/MOZ/Agriculture", + "World/Latam/PAN/Agriculture", + "World/Europe/POL/Agriculture", + "World/Europe/SWE/Agriculture", + "World/North Africa/TUR/Agriculture", + "World/Pair/USA/Agriculture", + "World/Persian Gulf/YEM/Agriculture", + "World/Persian Gulf/ARE/Industry", + "World/Latam/ARG/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Pair/CHN/Industry", + "World/South Africa/CMR/Industry", + "World/Latam/COL/Industry", + "World/Latam/CRI/Industry", + "World/Europe/DEU/Industry", + "World/North Africa/DZA/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/FRA/Industry", + "World/South Africa/GHA/Industry", + "World/Europe/HRV/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", + "World/South Africa/LBR/Industry", + "World/North Africa/MAR/Industry", + "World/Latam/MEX/Industry", + "World/South Africa/MOZ/Industry", + "World/South Africa/NGA/Industry", + "World/Latam/PAN/Industry", + "World/Latam/PER/Industry", + "World/Asia/PHL/Industry", + "World/Europe/POL/Industry", + "World/Persian Gulf/SAU/Industry", + "World/South Africa/SEN/Industry", + "World/Asia/THA/Industry", + "World/North Africa/TUR/Industry", + "World/Pair/USA/Industry", + "World/Latam/VEN/Industry", + "World/Asia/VNM/Industry", + "World/Persian Gulf/YEM/Industry", + "World/South Africa/ZAF/Industry", + "World/Persian Gulf/ARE/Mortality", + "World/Asia/BGD/Mortality", + "World/Pair/CHN/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/DZA/Mortality", + "World/North Africa/EGY/Mortality", + "World/South Africa/GHA/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + 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Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/Europe/AUT/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Pair/CHN/Environment", + "World/Latam/CRI/Environment", + "World/Europe/DEU/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/FRA/Environment", + "World/Europe/GBR/Environment", + "World/Europe/GRC/Environment", + "World/Europe/HRV/Environment", + "World/Asia/IND/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/NGA/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Asia/PHL/Environment", + "World/Europe/POL/Environment", + "World/Persian Gulf/SAU/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/Pair/USA/Environment", + 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+ "World/North Africa/EGY/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/GRC/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/South Africa/NGA/Economy", + "World/Europe/NLD/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/South Africa/SEN/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Europe/AUT/Exports", + "World/Asia/BGD/Exports", + "World/Latam/CHL/Exports", + "World/Pair/CHN/Exports", + "World/South Africa/CMR/Exports", + "World/Latam/CRI/Exports", + "World/Europe/DEU/Exports", + "World/North Africa/DZA/Exports", + "World/Europe/ESP/Exports", + "World/Europe/GBR/Exports", + "World/Europe/GRC/Exports", + "World/Europe/HRV/Exports", + "World/Asia/IND/Exports", + "World/North Africa/ISR/Exports", + "World/Asia/KOR/Exports", + "World/North Africa/MAR/Exports", + "World/Latam/MEX/Exports", + "World/South Africa/NGA/Exports", + "World/Europe/NLD/Exports", + "World/Persian Gulf/OMN/Exports", + "World/Latam/PAN/Exports", + "World/Europe/POL/Exports", + "World/Persian Gulf/QAT/Exports", + "World/Persian Gulf/SAU/Exports", + "World/Europe/SWE/Exports", + "World/Asia/THA/Exports", + "World/Pair/USA/Exports", + "World/South Africa/ZAF/Exports", + "World/Persian Gulf/ARE/Imports", + "World/Europe/AUT/Imports", + "World/Persian Gulf/AZE/Imports", 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Gulf/YEM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Mortality", + "World/Latam/ARG/Mortality", + "World/Persian Gulf/AZE/Mortality", + "World/Asia/BGD/Mortality", + "World/Latam/CHL/Mortality", + "World/Pair/CHN/Mortality", + "World/South Africa/CMR/Mortality", + "World/Latam/COL/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/EGY/Mortality", + "World/Europe/ESP/Mortality", + "World/Europe/GBR/Mortality", + "World/South Africa/GHA/Mortality", + "World/Europe/GRC/Mortality", + "World/Europe/HRV/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/ISR/Mortality", + "World/Asia/KOR/Mortality", + "World/South Africa/LBR/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + "World/South Africa/MOZ/Mortality", + "World/South Africa/NGA/Mortality", + "World/Europe/NLD/Mortality", + "World/Latam/PAN/Mortality", + "World/Latam/PER/Mortality", + "World/Asia/PHL/Mortality", + "World/Europe/POL/Mortality", + "World/Persian Gulf/QAT/Mortality", + "World/Persian Gulf/SAU/Mortality", + "World/South Africa/SEN/Mortality", + "World/Asia/THA/Mortality", + "World/North Africa/TUR/Mortality", + "World/Pair/USA/Mortality", + "World/Asia/VNM/Mortality", + "World/Persian Gulf/YEM/Mortality", + "World/Persian Gulf/ARE/Health", + "World/Latam/ARG/Health", + "World/Persian Gulf/AZE/Health", + "World/Asia/BGD/Health", + "World/Latam/CHL/Health", + "World/Pair/CHN/Health", + "World/South Africa/CMR/Health", + "World/Latam/COL/Health", + "World/Latam/CRI/Health", + "World/North Africa/EGY/Health", + "World/Europe/ESP/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/GRC/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/Asia/IND/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/South Africa/LBR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/South Africa/NGA/Health", + "World/Europe/NLD/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Europe/POL/Health", + "World/Persian Gulf/QAT/Health", + "World/Persian Gulf/SAU/Health", + "World/South Africa/SEN/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Pair/USA/Health", + "World/Latam/VEN/Health", + "World/Asia/VNM/Health", + "World/Persian Gulf/YEM/Health", + "World/Persian Gulf/ARE/Industry", + "World/Latam/ARG/Industry", + "World/Europe/AUT/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Latam/BRA/Industry", + "World/Pair/CHN/Industry", + "World/Latam/COL/Industry", + "World/Latam/CRI/Industry", + "World/North Africa/DZA/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/GBR/Industry", + "World/South Africa/GHA/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", 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Africa/DZA/Health", + "World/Europe/ESP/Health", + "World/Europe/FRA/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/Europe/NLD/Health", + "World/Persian Gulf/OMN/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Persian Gulf/QAT/Health", + "World/South Africa/SEN/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Asia/VNM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/Latam/MEX/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Asia/THA/Economy", + "World/Pair/USA/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Persian Gulf/ARE/Mortality", + "World/Latam/ARG/Mortality", + "World/Persian Gulf/AZE/Mortality", + "World/Asia/BGD/Mortality", + "World/Latam/CHL/Mortality", + "World/Pair/CHN/Mortality", + "World/South Africa/CMR/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/DZA/Mortality", + "World/North Africa/EGY/Mortality", + "World/Europe/ESP/Mortality", + "World/Europe/GBR/Mortality", + "World/South Africa/GHA/Mortality", + "World/Europe/HRV/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/ISR/Mortality", + "World/Asia/KOR/Mortality", + "World/South Africa/LBR/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + "World/South Africa/MOZ/Mortality", + "World/South Africa/NGA/Mortality", + "World/Europe/NLD/Mortality", + "World/Latam/PAN/Mortality", + "World/Latam/PER/Mortality", + "World/Asia/PHL/Mortality", + "World/Europe/POL/Mortality", + "World/Persian Gulf/QAT/Mortality", + "World/Persian Gulf/SAU/Mortality", + "World/South Africa/SEN/Mortality", + "World/Asia/THA/Mortality", + "World/North Africa/TUR/Mortality", + "World/Pair/USA/Mortality", + "World/Asia/VNM/Mortality", + "World/Persian Gulf/YEM/Mortality", + "World/Persian Gulf/ARE/Exports", + "World/Europe/AUT/Exports", + "World/Persian Gulf/AZE/Exports", + "World/Asia/BGD/Exports", + "World/Latam/BRA/Exports", + "World/Latam/CHL/Exports", + "World/Pair/CHN/Exports", + "World/Latam/COL/Exports", + "World/Latam/CRI/Exports", + "World/Europe/DEU/Exports", + "World/North Africa/EGY/Exports", + "World/Europe/ESP/Exports", + 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Africa/MOZ/R&D", + "World/South Africa/NGA/R&D", + "World/Latam/PAN/R&D", + "World/Latam/PER/R&D", + "World/Asia/PHL/R&D", + "World/Europe/POL/R&D", + "World/South Africa/SEN/R&D", + "World/Asia/THA/R&D", + "World/North Africa/TUR/R&D", + "World/Latam/VEN/R&D", + "World/Asia/VNM/R&D", + "World/Persian Gulf/YEM/R&D", + "World/South Africa/ZAF/R&D", + "World/Latam/ARG/R&D", + "World/Asia/BGD/R&D", + "World/Latam/CHL/R&D", + "World/South Africa/CMR/R&D", + "World/Latam/COL/R&D", + "World/Latam/CRI/R&D", + "World/North Africa/EGY/R&D", + "World/South Africa/GHA/R&D", + "World/Europe/GRC/R&D", + "World/Asia/IDN/R&D", + "World/Asia/IND/R&D", + "World/North Africa/MAR/R&D", + "World/Latam/MEX/R&D", + "World/South Africa/MOZ/R&D", + "World/South Africa/NGA/R&D", + "World/Latam/PAN/R&D", + "World/Latam/PER/R&D", + "World/Asia/PHL/R&D", + "World/Europe/POL/R&D", + "World/South Africa/SEN/R&D", + "World/North Africa/TUR/R&D", + "World/Latam/VEN/R&D", + "World/Asia/VNM/R&D", + "World/South Africa/ZAF/R&D", + "World/Persian Gulf/ARE/A&D", + "World/Latam/ARG/A&D", + "World/Europe/AUT/A&D", + "World/Persian Gulf/AZE/A&D", + "World/Asia/BGD/A&D", + "World/Latam/BRA/A&D", + "World/Latam/CHL/A&D", + "World/Pair/CHN/A&D", + "World/Latam/CRI/A&D", + "World/North Africa/EGY/A&D", + "World/Europe/GBR/A&D", + "World/South Africa/GHA/A&D", + "World/Europe/HRV/A&D", + "World/Asia/IND/A&D", + "World/North Africa/ISR/A&D", + "World/Asia/KOR/A&D", + "World/North Africa/MAR/A&D", + "World/Latam/MEX/A&D", + "World/South Africa/MOZ/A&D", + "World/South Africa/NGA/A&D", + "World/Europe/NLD/A&D", + "World/Persian Gulf/OMN/A&D", + "World/Latam/PAN/A&D", + "World/Europe/POL/A&D", + "World/Persian Gulf/QAT/A&D", + "World/Asia/THA/A&D", + "World/Pair/USA/A&D", + "World/Latam/VEN/A&D", + "World/Asia/VNM/A&D", + "World/Persian Gulf/YEM/A&D", + "World/Persian Gulf/ARE/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Latam/BRA/Industry", + "World/Latam/CHL/Industry", + "World/Pair/CHN/Industry", + "World/South Africa/CMR/Industry", + "World/Latam/CRI/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/HRV/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", + "World/North Africa/MAR/Industry", + "World/Latam/MEX/Industry", + "World/South Africa/MOZ/Industry", + "World/South Africa/NGA/Industry", + "World/Persian Gulf/OMN/Industry", + "World/Asia/PHL/Industry", + "World/Europe/POL/Industry", + "World/Persian Gulf/SAU/Industry", + "World/Asia/THA/Industry", + "World/Asia/VNM/Industry", + "World/Persian Gulf/ARE/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Latam/CHL/Environment", + "World/Pair/CHN/Environment", + "World/Latam/CRI/Environment", + "World/North Africa/DZA/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/GBR/Environment", + "World/Europe/HRV/Environment", + "World/Asia/IND/Environment", + "World/Persian Gulf/IRQ/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/North Africa/MAR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/MOZ/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Asia/PHL/Environment", + "World/Persian Gulf/QAT/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/North Africa/TUR/Environment", + "World/Pair/USA/Environment", + "World/Asia/VNM/Environment", + "World/Persian Gulf/YEM/Environment", + "World/South Africa/ZAF/Environment", + "World/Persian Gulf/ARE/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Latam/BRA/Environment", + "World/Latam/CHL/Environment", + "World/Pair/CHN/Environment", + "World/South Africa/CMR/Environment", + "World/Latam/COL/Environment", + "World/Latam/CRI/Environment", + "World/Europe/DEU/Environment", + "World/North Africa/DZA/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/GBR/Environment", + "World/South Africa/GHA/Environment", + "World/Europe/GRC/Environment", + "World/Asia/IDN/Environment", + "World/Asia/IND/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/South Africa/LBR/Environment", + "World/North Africa/MAR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/MOZ/Environment", + "World/South Africa/NGA/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Latam/PER/Environment", + "World/Asia/PHL/Environment", + "World/Persian Gulf/QAT/Environment", + "World/Persian Gulf/SAU/Environment", + "World/South Africa/SEN/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/North Africa/TUR/Environment", + "World/Asia/VNM/Environment", + "World/South Africa/ZAF/Environment", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/BRA/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/Latam/CRI/Economy", + "World/North Africa/DZA/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/BRA/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/Latam/CRI/Economy", + "World/North Africa/DZA/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Latam/ARG/Health", + "World/Europe/AUT/Health", + "World/Persian Gulf/AZE/Health", + "World/Asia/BGD/Health", + "World/Latam/BRA/Health", + "World/Latam/CHL/Health", + "World/Pair/CHN/Health", + "World/South Africa/CMR/Health", + "World/Latam/COL/Health", + "World/Latam/CRI/Health", + "World/Europe/DEU/Health", + "World/North Africa/DZA/Health", + "World/North Africa/EGY/Health", + "World/Europe/ESP/Health", + "World/Europe/FRA/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/GRC/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/Asia/IND/Health", + "World/Persian Gulf/IRQ/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/South Africa/LBR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/South Africa/NGA/Health", + "World/Europe/NLD/Health", + "World/Persian Gulf/OMN/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Europe/POL/Health", + "World/Persian Gulf/QAT/Health", + "World/South Africa/SEN/Health", + "World/Europe/SWE/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Pair/USA/Health", + "World/Latam/VEN/Health", + "World/Asia/VNM/Health", + "World/Persian Gulf/YEM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/North Africa/DZA/Demography", + "World/North Africa/EGY/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/North Africa/ISR/Demography", + "World/Asia/KOR/Demography", + "World/South Africa/LBR/Demography", + "World/North Africa/MAR/Demography", + "World/Latam/MEX/Demography", + "World/South Africa/MOZ/Demography", + "World/South Africa/NGA/Demography", + "World/Europe/NLD/Demography", + "World/Persian Gulf/OMN/Demography", + "World/Latam/PAN/Demography", + "World/Latam/PER/Demography", + "World/Asia/PHL/Demography", + "World/Europe/POL/Demography", + "World/Persian Gulf/QAT/Demography", + "World/Persian Gulf/SAU/Demography", + "World/South Africa/SEN/Demography", + "World/Asia/THA/Demography", + "World/North Africa/TUR/Demography", + "World/Pair/USA/Demography", + "World/Latam/VEN/Demography", + "World/Asia/VNM/Demography", + "World/Persian Gulf/YEM/Demography", + "World/South Africa/ZAF/Demography", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/Europe/DEU/Demography", + "World/North Africa/DZA/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Europe/GRC/Demography", + "World/Europe/HRV/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/Persian Gulf/IRQ/Demography", + "World/North Africa/ISR/Demography", + "World/South Africa/LBR/Demography", + "World/North Africa/MAR/Demography", + "World/Latam/MEX/Demography", + "World/South Africa/MOZ/Demography", + "World/South Africa/NGA/Demography", + "World/Europe/NLD/Demography", + "World/Persian Gulf/OMN/Demography", + "World/Latam/PAN/Demography", + "World/Latam/PER/Demography", + "World/Europe/POL/Demography", + "World/Persian Gulf/QAT/Demography", + "World/Persian Gulf/SAU/Demography", + "World/South Africa/SEN/Demography", + "World/Asia/THA/Demography", + "World/North Africa/TUR/Demography", + "World/Pair/USA/Demography", + "World/Latam/VEN/Demography", + "World/Asia/VNM/Demography", + "World/Persian Gulf/YEM/Demography", + "World/South Africa/ZAF/Demography", + "World/Europe/AUT/Equality", + "World/Persian Gulf/AZE/Equality", + "World/Asia/BGD/Equality", + "World/Latam/CHL/Equality", + "World/Pair/CHN/Equality", + "World/Latam/COL/Equality", + "World/Latam/CRI/Equality", + "World/Europe/DEU/Equality", + "World/North Africa/DZA/Equality", + "World/North Africa/EGY/Equality", + "World/Europe/GBR/Equality", + "World/South Africa/GHA/Equality", + "World/Europe/HRV/Equality", + "World/Asia/IND/Equality", + "World/North Africa/ISR/Equality", + "World/Asia/KOR/Equality", + "World/North Africa/MAR/Equality", + "World/Latam/MEX/Equality", + "World/South Africa/MOZ/Equality", + "World/South Africa/NGA/Equality", + "World/Europe/NLD/Equality", + "World/Latam/PAN/Equality", + "World/Latam/PER/Equality", + "World/Asia/PHL/Equality", + "World/Europe/POL/Equality", + "World/Persian Gulf/SAU/Equality", + "World/Europe/SWE/Equality", + "World/Asia/THA/Equality", + "World/North Africa/TUR/Equality", + "World/Latam/VEN/Equality", + "World/Asia/VNM/Equality", + "World/Persian Gulf/YEM/Equality", + "World/South Africa/ZAF/Equality", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/Latam/CRI", + "World/North Africa/EGY", + "World/Europe/GBR", + "World/South Africa/GHA", + "World/Europe/HRV", + "World/Asia/IND", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Asia/THA", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/Europe/DEU", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/Europe/ESP", + "World/Europe/FRA", + "World/South Africa/GHA", + "World/Europe/GRC", + "World/Europe/HRV", + "World/Asia/IDN", + "World/Asia/IND", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Persian Gulf/SAU", + "World/South Africa/SEN", + "World/Europe/SWE", + "World/Asia/THA", + "World/North Africa/TUR", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/South Africa/ZAF", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/Europe/DEU", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/Europe/ESP", + "World/Europe/FRA", + "World/Europe/GBR", + "World/South Africa/GHA", + "World/Europe/GRC", + "World/Europe/HRV", + "World/Asia/IDN", + "World/Asia/IND", + "World/Persian Gulf/IRQ", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Persian Gulf/SAU", + "World/South Africa/SEN", + "World/Europe/SWE", + "World/Asia/THA", + "World/North Africa/TUR", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/South Africa/ZAF", + "World/Latam/ARG", + "World/Asia/BGD", + "World/Latam/BRA", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/South Africa/GHA", + "World/Asia/IND", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/North Africa/TUR", + 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"World/Asia/PHL/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/South Africa/SEN/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Asia/THA/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/North Africa/TUR/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Asia/VNM/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Persian Gulf/YEM/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/South Africa/ZAF/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Persian Gulf/AZE/Environment/Access to electricity (% of population)", + "World/Asia/BGD/Environment/Access to electricity (% of population)", + "World/Latam/BRA/Environment/Access to electricity (% of population)", + "World/Latam/CHL/Environment/Access to electricity (% of population)", + "World/Pair/CHN/Environment/Access to electricity (% of population)", + "World/South Africa/CMR/Environment/Access to electricity (% of population)", + "World/Latam/COL/Environment/Access to electricity (% of population)", + "World/Latam/CRI/Environment/Access to electricity (% of population)", + "World/North Africa/EGY/Environment/Access to electricity (% of population)", + "World/South Africa/GHA/Environment/Access to electricity (% of population)", + "World/Asia/IDN/Environment/Access to electricity (% of population)", + "World/Asia/IND/Environment/Access to electricity (% of population)", + "World/Persian Gulf/IRQ/Environment/Access to electricity (% of population)", + "World/South Africa/LBR/Environment/Access to electricity (% of population)", + "World/North Africa/MAR/Environment/Access to electricity (% of population)", + "World/Latam/MEX/Environment/Access to electricity (% of population)", + "World/South Africa/MOZ/Environment/Access to electricity (% of population)", + "World/South Africa/NGA/Environment/Access to electricity (% of population)", + "World/Latam/PAN/Environment/Access to electricity (% of population)", + "World/Latam/PER/Environment/Access to electricity (% of population)", + "World/Asia/PHL/Environment/Access to electricity (% of population)", + "World/South Africa/SEN/Environment/Access to electricity (% of population)", + "World/Asia/THA/Environment/Access to electricity (% of population)", + "World/Asia/VNM/Environment/Access to electricity (% of population)", + "World/Persian Gulf/YEM/Environment/Access to electricity (% of population)", + "World/South Africa/ZAF/Environment/Access to electricity (% of population)", + "World/Persian Gulf/ARE/Economy/Adjusted net national income (current US$)", + "World/Latam/ARG/Economy/Adjusted net national income (current US$)", + "World/Europe/AUT/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted net national income (current US$)", + "World/Asia/BGD/Economy/Adjusted net national income (current US$)", + "World/Latam/BRA/Economy/Adjusted net national income (current US$)", + "World/Latam/CHL/Economy/Adjusted net national income (current US$)", + "World/Pair/CHN/Economy/Adjusted net national income (current US$)", + "World/South Africa/CMR/Economy/Adjusted net national income (current US$)", + "World/Latam/COL/Economy/Adjusted net national income (current US$)", + "World/Latam/CRI/Economy/Adjusted net national income (current US$)", + "World/Europe/DEU/Economy/Adjusted net national income (current US$)", + "World/North Africa/DZA/Economy/Adjusted net national income (current US$)", + "World/North Africa/EGY/Economy/Adjusted net national income (current US$)", + "World/Europe/ESP/Economy/Adjusted net national income (current US$)", + "World/Europe/FRA/Economy/Adjusted net national income (current US$)", + "World/Europe/GBR/Economy/Adjusted net national income (current US$)", + "World/South Africa/GHA/Economy/Adjusted net national income (current US$)", + "World/Europe/HRV/Economy/Adjusted net national income (current US$)", + "World/Asia/IDN/Economy/Adjusted net national income (current US$)", + "World/Asia/IND/Economy/Adjusted net national income (current US$)", + "World/North Africa/ISR/Economy/Adjusted net national income (current US$)", + "World/Asia/KOR/Economy/Adjusted net national income (current US$)", + "World/South Africa/LBR/Economy/Adjusted net national income (current US$)", + "World/North Africa/MAR/Economy/Adjusted net national income (current US$)", + "World/Latam/MEX/Economy/Adjusted net national income (current US$)", + "World/South Africa/MOZ/Economy/Adjusted net national income (current US$)", + "World/South Africa/NGA/Economy/Adjusted net national income (current US$)", + "World/Europe/NLD/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted net national income (current US$)", + "World/Latam/PAN/Economy/Adjusted net national income (current US$)", + "World/Latam/PER/Economy/Adjusted net national income (current US$)", + "World/Asia/PHL/Economy/Adjusted net national income (current US$)", + "World/Europe/POL/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted net national income (current US$)", + "World/South Africa/SEN/Economy/Adjusted net national income (current US$)", + "World/Europe/SWE/Economy/Adjusted net national income (current US$)", + "World/Asia/THA/Economy/Adjusted net national income (current US$)", + "World/North Africa/TUR/Economy/Adjusted net national income (current US$)", + "World/Pair/USA/Economy/Adjusted net national income (current US$)", + "World/Latam/VEN/Economy/Adjusted net national income (current US$)", + "World/Asia/VNM/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted net national income (current US$)", + "World/South Africa/ZAF/Economy/Adjusted net national income (current US$)", + "World/Latam/ARG/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/AUT/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/BGD/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/BRA/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/CHL/Economy/Adjusted net national income per capita (current US$)", + "World/Pair/CHN/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/CMR/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/COL/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/CRI/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/DEU/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/DZA/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/EGY/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/ESP/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/FRA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/GBR/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/GHA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/HRV/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/IDN/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/IND/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/IRQ/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/ISR/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/KOR/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/MAR/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/MEX/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/MOZ/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/NGA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/NLD/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/PAN/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/PER/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/PHL/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/POL/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/SEN/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/SWE/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/THA/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/TUR/Economy/Adjusted net national income per capita (current US$)", + "World/Pair/USA/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/VEN/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/VNM/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/ZAF/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/COL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/IND/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/PER/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/POL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/THA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Pair/USA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/COL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/ESP/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/HRV/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/IND/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/PER/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/POL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/SWE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/THA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Pair/USA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/COL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/ESP/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/HRV/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/IND/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/PER/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/POL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/SWE/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/THA/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Pair/USA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: net national savings (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/IND/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: net national savings (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/PER/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/POL/Economy/Adjusted savings: net national savings (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: net national savings (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/THA/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: net national savings (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/COL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/IND/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/THA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/ARE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/ARG/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/AUT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/AZE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/BGD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/BRA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/CHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Pair/CHN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/CMR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/COL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/CRI/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/DEU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/EGY/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/GBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/GHA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/GRC/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/HRV/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/IND/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/ISR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/KOR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/LBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/MAR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/MEX/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/MOZ/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/NGA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/NLD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/OMN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/PAN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/PER/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/PHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/POL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/QAT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/SAU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/SEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/SWE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/TUR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Pair/USA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/VEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/VNM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/YEM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/AUT/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Agricultural land (% of land area)", + "World/Asia/BGD/Agriculture/Agricultural land (% of land area)", + "World/Latam/BRA/Agriculture/Agricultural land (% of land area)", + "World/Pair/CHN/Agriculture/Agricultural land (% of land area)", + "World/South Africa/CMR/Agriculture/Agricultural land (% of land area)", + "World/Latam/CRI/Agriculture/Agricultural land (% of land area)", + "World/Europe/DEU/Agriculture/Agricultural land (% of land area)", + "World/North Africa/DZA/Agriculture/Agricultural land (% of land area)", + "World/North Africa/EGY/Agriculture/Agricultural land (% of land area)", + "World/Europe/ESP/Agriculture/Agricultural land (% of land area)", + "World/Europe/FRA/Agriculture/Agricultural land (% of land area)", + "World/Europe/GRC/Agriculture/Agricultural land (% of land area)", + "World/Asia/IDN/Agriculture/Agricultural land (% of land area)", + "World/Asia/IND/Agriculture/Agricultural land (% of land area)", + "World/North Africa/ISR/Agriculture/Agricultural land (% of land area)", + "World/Asia/KOR/Agriculture/Agricultural land (% of land area)", + "World/South Africa/LBR/Agriculture/Agricultural land (% of land area)", + "World/South Africa/MOZ/Agriculture/Agricultural land (% of land area)", + "World/South Africa/NGA/Agriculture/Agricultural land (% of land area)", + "World/Europe/NLD/Agriculture/Agricultural land (% of land area)", + "World/Latam/PAN/Agriculture/Agricultural land (% of land area)", + "World/Asia/PHL/Agriculture/Agricultural land (% of land area)", + "World/Europe/POL/Agriculture/Agricultural land (% of land area)", + "World/Europe/SWE/Agriculture/Agricultural land (% of land area)", + "World/North Africa/TUR/Agriculture/Agricultural land (% of land area)", + "World/Pair/USA/Agriculture/Agricultural land (% of land area)", + "World/Latam/VEN/Agriculture/Agricultural land (% of land area)", + "World/Asia/VNM/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/ARE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/AUT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/HRV/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/MEX/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/SAU/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/TUR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/BRA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/NLD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/USA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/AUT/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/BRA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/CHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/COL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/DZA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/EGY/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/GRC/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/HRV/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/IDN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/KOR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/MAR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/MEX/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/PHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/POL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/THA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/TUR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Pair/USA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/VEN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/VNM/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/BGD/Agriculture/Aquaculture production (metric tons)", + "World/Latam/BRA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/CHL/Agriculture/Aquaculture production (metric tons)", + "World/Pair/CHN/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/CMR/Agriculture/Aquaculture production (metric tons)", + "World/Latam/COL/Agriculture/Aquaculture production (metric tons)", + "World/Latam/CRI/Agriculture/Aquaculture production (metric tons)", + "World/North Africa/EGY/Agriculture/Aquaculture production (metric tons)", + "World/Europe/FRA/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/GHA/Agriculture/Aquaculture production (metric tons)", + "World/Asia/IDN/Agriculture/Aquaculture production (metric tons)", + "World/Asia/IND/Agriculture/Aquaculture production (metric tons)", + "World/Asia/KOR/Agriculture/Aquaculture production (metric tons)", + "World/Latam/MEX/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/NGA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/PER/Agriculture/Aquaculture production (metric tons)", + "World/Asia/PHL/Agriculture/Aquaculture production (metric tons)", + "World/Europe/POL/Agriculture/Aquaculture production (metric tons)", + "World/Persian Gulf/SAU/Agriculture/Aquaculture production (metric tons)", + "World/North Africa/TUR/Agriculture/Aquaculture production (metric tons)", + "World/Pair/USA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/VEN/Agriculture/Aquaculture production (metric tons)", + "World/Asia/VNM/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/ZAF/Agriculture/Aquaculture production (metric tons)", + "World/Europe/AUT/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Arable land (% of land area)", + "World/Asia/BGD/Agriculture/Arable land (% of land area)", + "World/Latam/BRA/Agriculture/Arable land (% of land area)", + "World/Latam/CHL/Agriculture/Arable land (% of land area)", + "World/Pair/CHN/Agriculture/Arable land (% of land area)", + "World/South Africa/CMR/Agriculture/Arable land (% of land area)", + "World/Latam/COL/Agriculture/Arable land (% of land area)", + "World/Latam/CRI/Agriculture/Arable land (% of land area)", + "World/South Africa/GHA/Agriculture/Arable land (% of land area)", + "World/Europe/GRC/Agriculture/Arable land (% of land area)", + "World/Asia/IDN/Agriculture/Arable land (% of land area)", + "World/Asia/IND/Agriculture/Arable land (% of land area)", + "World/Asia/KOR/Agriculture/Arable land (% of land area)", + "World/South Africa/LBR/Agriculture/Arable land (% of land area)", + "World/North Africa/MAR/Agriculture/Arable land (% of land area)", + "World/South Africa/MOZ/Agriculture/Arable land (% of land area)", + "World/Latam/PAN/Agriculture/Arable land (% of land area)", + "World/Europe/POL/Agriculture/Arable land (% of land area)", + "World/Europe/SWE/Agriculture/Arable land (% of land area)", + "World/North Africa/TUR/Agriculture/Arable land (% of land area)", + "World/Pair/USA/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/ARE/Agriculture/Arable land (hectares per person)", + "World/Latam/ARG/Agriculture/Arable land (hectares per person)", + "World/Europe/AUT/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/AZE/Agriculture/Arable land (hectares per person)", + "World/Asia/BGD/Agriculture/Arable land (hectares per person)", + "World/Latam/CHL/Agriculture/Arable land (hectares per person)", + "World/Pair/CHN/Agriculture/Arable land (hectares per person)", + "World/South Africa/CMR/Agriculture/Arable land (hectares per person)", + "World/Latam/COL/Agriculture/Arable land (hectares per person)", + "World/North Africa/DZA/Agriculture/Arable land (hectares per person)", + "World/North Africa/EGY/Agriculture/Arable land (hectares per person)", + "World/Europe/ESP/Agriculture/Arable land (hectares per person)", + "World/Europe/FRA/Agriculture/Arable land (hectares per person)", + "World/South Africa/GHA/Agriculture/Arable land (hectares per person)", + "World/Europe/GRC/Agriculture/Arable land (hectares per person)", + "World/Asia/IND/Agriculture/Arable land (hectares per person)", + "World/Asia/KOR/Agriculture/Arable land (hectares per person)", + "World/South Africa/LBR/Agriculture/Arable land (hectares per person)", + "World/North Africa/MAR/Agriculture/Arable land (hectares per person)", + "World/Latam/MEX/Agriculture/Arable land (hectares per person)", + "World/South Africa/MOZ/Agriculture/Arable land (hectares per person)", + "World/South Africa/NGA/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/OMN/Agriculture/Arable land (hectares per person)", + "World/Latam/PAN/Agriculture/Arable land (hectares per person)", + "World/Latam/PER/Agriculture/Arable land (hectares per person)", + "World/Asia/PHL/Agriculture/Arable land (hectares per person)", + "World/Europe/POL/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/QAT/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/SAU/Agriculture/Arable land (hectares per person)", + "World/Europe/SWE/Agriculture/Arable land (hectares per person)", + "World/North Africa/TUR/Agriculture/Arable land (hectares per person)", + "World/Pair/USA/Agriculture/Arable land (hectares per person)", + "World/Latam/VEN/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/YEM/Agriculture/Arable land (hectares per person)", + "World/South Africa/ZAF/Agriculture/Arable land (hectares per person)", + "World/Europe/AUT/Agriculture/Arable land (hectares)", + "World/Persian Gulf/AZE/Agriculture/Arable land (hectares)", + "World/Asia/BGD/Agriculture/Arable land (hectares)", + "World/Latam/BRA/Agriculture/Arable land (hectares)", + "World/Latam/CHL/Agriculture/Arable land (hectares)", + "World/Pair/CHN/Agriculture/Arable land (hectares)", + "World/South Africa/CMR/Agriculture/Arable land (hectares)", + "World/Latam/COL/Agriculture/Arable land (hectares)", + "World/Latam/CRI/Agriculture/Arable land (hectares)", + "World/South Africa/GHA/Agriculture/Arable land (hectares)", + "World/Europe/GRC/Agriculture/Arable land (hectares)", + "World/Asia/IDN/Agriculture/Arable land (hectares)", + "World/Asia/IND/Agriculture/Arable land (hectares)", + "World/Asia/KOR/Agriculture/Arable land (hectares)", + "World/South Africa/LBR/Agriculture/Arable land (hectares)", + "World/North Africa/MAR/Agriculture/Arable land (hectares)", + "World/South Africa/MOZ/Agriculture/Arable land (hectares)", + "World/Latam/PAN/Agriculture/Arable land (hectares)", + "World/Europe/POL/Agriculture/Arable land (hectares)", + "World/Europe/SWE/Agriculture/Arable land (hectares)", + "World/North Africa/TUR/Agriculture/Arable land (hectares)", + "World/Pair/USA/Agriculture/Arable land (hectares)", + "World/Persian Gulf/YEM/Agriculture/Arable land (hectares)", + "World/Persian Gulf/ARE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/ARG/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/AZE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/BGD/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Pair/CHN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/CMR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/COL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/CRI/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/DEU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/DZA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/EGY/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/FRA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/GHA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/HRV/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/IDN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/IND/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/ISR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/LBR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/MAR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/MEX/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/MOZ/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/NGA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/PAN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/PER/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/PHL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/POL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/SAU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/SEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/THA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/TUR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Pair/USA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/VEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/VNM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/YEM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/ZAF/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/ARE/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/BGD/Mortality/Births attended by skilled health staff (% of total)", + "World/Pair/CHN/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/CRI/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/DZA/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/EGY/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/GHA/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/IDN/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/IND/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/MAR/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/MEX/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/MOZ/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/PER/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/PHL/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/SAU/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/TUR/Mortality/Births attended by skilled health staff (% of total)", + "World/Pair/USA/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/VNM/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/YEM/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/ZAF/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/ARE/Economy/Broad money (% of GDP)", + "World/Latam/ARG/Economy/Broad money (% of GDP)", + "World/Persian Gulf/AZE/Economy/Broad money (% of GDP)", + "World/Asia/BGD/Economy/Broad money (% of GDP)", + "World/Latam/BRA/Economy/Broad money (% of GDP)", + "World/Pair/CHN/Economy/Broad money (% of GDP)", + "World/South Africa/CMR/Economy/Broad money (% of GDP)", + "World/North Africa/DZA/Economy/Broad money (% of GDP)", + "World/Europe/GBR/Economy/Broad money (% of GDP)", + "World/Europe/HRV/Economy/Broad money (% of GDP)", + "World/Asia/IND/Economy/Broad money (% of GDP)", + "World/North Africa/ISR/Economy/Broad money (% of GDP)", + "World/Asia/KOR/Economy/Broad money (% of GDP)", + "World/North Africa/MAR/Economy/Broad money (% of GDP)", + "World/Latam/MEX/Economy/Broad money (% of GDP)", + "World/South Africa/MOZ/Economy/Broad money (% of GDP)", + "World/Latam/PER/Economy/Broad money (% of GDP)", + "World/Asia/PHL/Economy/Broad money (% of GDP)", + "World/Europe/POL/Economy/Broad money (% of GDP)", + "World/Persian Gulf/QAT/Economy/Broad money (% of GDP)", + "World/South Africa/SEN/Economy/Broad money (% of GDP)", + "World/North Africa/TUR/Economy/Broad money (% of GDP)", + "World/Pair/USA/Economy/Broad money (% of GDP)", + "World/Latam/VEN/Economy/Broad money (% of GDP)", + "World/Asia/VNM/Economy/Broad money (% of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/PHL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/VNM/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/PHL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/VNM/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/ARG/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/BRA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/CHL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/COL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/ESP/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/IDN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/MAR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/PER/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/TUR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/South Africa/ZAF/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/ARE/Environment/CO2 emissions (kt)", + "World/Latam/ARG/Environment/CO2 emissions (kt)", + "World/Asia/BGD/Environment/CO2 emissions (kt)", + "World/Latam/BRA/Environment/CO2 emissions (kt)", + "World/Latam/CHL/Environment/CO2 emissions (kt)", + "World/Pair/CHN/Environment/CO2 emissions (kt)", + "World/Latam/COL/Environment/CO2 emissions (kt)", + "World/Latam/CRI/Environment/CO2 emissions (kt)", + "World/Europe/DEU/Environment/CO2 emissions (kt)", + "World/North Africa/DZA/Environment/CO2 emissions (kt)", + "World/North Africa/EGY/Environment/CO2 emissions (kt)", + "World/Europe/GBR/Environment/CO2 emissions (kt)", + "World/South Africa/GHA/Environment/CO2 emissions (kt)", + "World/Asia/IDN/Environment/CO2 emissions (kt)", + "World/Asia/IND/Environment/CO2 emissions (kt)", + "World/Asia/KOR/Environment/CO2 emissions (kt)", + "World/South Africa/LBR/Environment/CO2 emissions (kt)", + "World/North Africa/MAR/Environment/CO2 emissions (kt)", + "World/Latam/MEX/Environment/CO2 emissions (kt)", + "World/South Africa/MOZ/Environment/CO2 emissions (kt)", + "World/South Africa/NGA/Environment/CO2 emissions (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kt)", + "World/Latam/PAN/Environment/CO2 emissions (kt)", + "World/Latam/PER/Environment/CO2 emissions (kt)", + "World/Asia/PHL/Environment/CO2 emissions (kt)", + "World/Persian Gulf/QAT/Environment/CO2 emissions (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kt)", + "World/South Africa/SEN/Environment/CO2 emissions (kt)", + "World/Europe/SWE/Environment/CO2 emissions (kt)", + "World/Asia/THA/Environment/CO2 emissions (kt)", + "World/North Africa/TUR/Environment/CO2 emissions (kt)", + "World/Asia/VNM/Environment/CO2 emissions (kt)", + "World/South Africa/ZAF/Environment/CO2 emissions (kt)", + "World/Asia/BGD/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/BRA/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/CHL/Environment/CO2 emissions (metric tons per capita)", + "World/Pair/CHN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/CRI/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/DEU/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/DZA/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/EGY/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/GBR/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/GHA/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/GRC/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/IDN/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/IND/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/ISR/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/KOR/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/MAR/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/MOZ/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/NLD/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/PAN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/PER/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/PHL/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/SEN/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/SWE/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/THA/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/TUR/Environment/CO2 emissions (metric tons per capita)", + "World/Pair/USA/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/VNM/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/ARG/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/AZE/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/BGD/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/BRA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Pair/CHN/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/COL/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/DZA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/EGY/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/ESP/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/IND/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/ISR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/KOR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/MAR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/MEX/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/South Africa/NGA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/NLD/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/PER/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/POL/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/QAT/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/THA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/TUR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Pair/USA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/VNM/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/BGD/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/BRA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/CHL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Pair/CHN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/CMR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/CRI/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/DZA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/EGY/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/GBR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/GHA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/IDN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/IND/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/MAR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/MOZ/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/NLD/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/PAN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/PER/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/PHL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/POL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/THA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/VNM/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Europe/AUT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/BGD/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/BRA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/CHL/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Pair/CHN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/CMR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/IDN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/IND/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/KOR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/North Africa/MAR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/MEX/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/NGA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/QAT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/SEN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/VNM/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/ARE/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/AZE/Industry/Capture fisheries production (metric tons)", + "World/Asia/BGD/Industry/Capture fisheries production (metric tons)", + "World/Latam/CHL/Industry/Capture fisheries production (metric tons)", + "World/South Africa/CMR/Industry/Capture fisheries production (metric tons)", + "World/Latam/CRI/Industry/Capture fisheries production (metric tons)", + "World/Europe/GRC/Industry/Capture fisheries production (metric tons)", + "World/Europe/HRV/Industry/Capture fisheries production (metric tons)", + "World/Asia/IDN/Industry/Capture fisheries production (metric tons)", + "World/Asia/IND/Industry/Capture fisheries production (metric tons)", + "World/North Africa/ISR/Industry/Capture fisheries production (metric tons)", + "World/North Africa/MAR/Industry/Capture fisheries production (metric tons)", + "World/South Africa/MOZ/Industry/Capture fisheries production (metric tons)", + "World/South Africa/NGA/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/OMN/Industry/Capture fisheries production (metric tons)", + "World/Asia/PHL/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/SAU/Industry/Capture fisheries production (metric tons)", + "World/Asia/THA/Industry/Capture fisheries production (metric tons)", + "World/Asia/VNM/Industry/Capture fisheries production (metric tons)", + "World/Asia/BGD/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/BRA/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/CHL/Agriculture/Cereal yield (kg per hectare)", + "World/Pair/CHN/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/COL/Agriculture/Cereal yield (kg per hectare)", + "World/South Africa/GHA/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/IDN/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/IND/Agriculture/Cereal yield (kg per hectare)", + "World/North Africa/ISR/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/MEX/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/PAN/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/PER/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/PHL/Agriculture/Cereal yield (kg per hectare)", + "World/Persian Gulf/QAT/Agriculture/Cereal yield (kg per hectare)", + "World/Persian Gulf/SAU/Agriculture/Cereal yield (kg per hectare)", + "World/North Africa/TUR/Agriculture/Cereal yield (kg per hectare)", + "World/Pair/USA/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/VNM/Agriculture/Cereal yield (kg per hectare)", + "World/Europe/AUT/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/AZE/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/BGD/Environment/Combustible renewables and waste (% of total energy)", + "World/Pair/CHN/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/COL/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/DEU/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/DZA/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/GBR/Environment/Combustible renewables and waste (% of total energy)", + "World/South Africa/GHA/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/IDN/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/IND/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/KOR/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/MAR/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/MEX/Environment/Combustible renewables and waste (% of total energy)", + "World/South Africa/MOZ/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/NLD/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/PAN/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/PER/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/PHL/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/POL/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/SAU/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/SWE/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/TUR/Environment/Combustible renewables and waste (% of total energy)", + "World/Pair/USA/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/VNM/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/ARE/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/BGD/Economy/Commercial bank branches (per 100,000 adults)", + "World/Pair/CHN/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/CMR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Latam/CRI/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/DEU/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/DZA/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/EGY/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/FRA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/GBR/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/GHA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/IDN/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/IND/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/ISR/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/MAR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Latam/MEX/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/MOZ/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/NLD/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/OMN/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/POL/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/QAT/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/SEN/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/TUR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Pair/USA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/YEM/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/ZAF/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/AUT/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/AZE/Exports/Commercial service exports (current US$)", + "World/Asia/BGD/Exports/Commercial service exports (current US$)", + "World/Latam/BRA/Exports/Commercial service exports (current US$)", + "World/Latam/CHL/Exports/Commercial service exports (current US$)", + "World/Pair/CHN/Exports/Commercial service exports (current US$)", + "World/South Africa/CMR/Exports/Commercial service exports (current US$)", + "World/Latam/COL/Exports/Commercial service exports (current US$)", + "World/Latam/CRI/Exports/Commercial service exports (current US$)", + "World/Europe/DEU/Exports/Commercial service exports (current US$)", + "World/North Africa/DZA/Exports/Commercial service exports (current US$)", + "World/Europe/ESP/Exports/Commercial service exports (current US$)", + "World/Europe/FRA/Exports/Commercial service exports (current US$)", + "World/Europe/GBR/Exports/Commercial service exports (current US$)", + "World/South Africa/GHA/Exports/Commercial service exports (current US$)", + "World/Europe/GRC/Exports/Commercial service exports (current US$)", + "World/Europe/HRV/Exports/Commercial service exports (current US$)", + "World/Asia/IDN/Exports/Commercial service exports (current US$)", + "World/Asia/IND/Exports/Commercial service exports (current US$)", + "World/North Africa/ISR/Exports/Commercial service exports (current US$)", + "World/Asia/KOR/Exports/Commercial service exports (current US$)", + "World/North Africa/MAR/Exports/Commercial service exports (current US$)", + "World/Europe/NLD/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/OMN/Exports/Commercial service exports (current US$)", + "World/Latam/PAN/Exports/Commercial service exports (current US$)", + "World/Latam/PER/Exports/Commercial service exports (current US$)", + "World/Asia/PHL/Exports/Commercial service exports (current US$)", + "World/Europe/POL/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/QAT/Exports/Commercial service exports (current US$)", + "World/South Africa/SEN/Exports/Commercial service exports (current US$)", + "World/Europe/SWE/Exports/Commercial service exports (current US$)", + "World/Asia/THA/Exports/Commercial service exports (current US$)", + "World/North Africa/TUR/Exports/Commercial service exports (current US$)", + "World/Pair/USA/Exports/Commercial service exports (current US$)", + "World/Asia/VNM/Exports/Commercial service exports (current US$)", + "World/South Africa/ZAF/Exports/Commercial service exports (current US$)", + "World/Latam/ARG/Imports/Commercial service imports (current US$)", + "World/Europe/AUT/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/AZE/Imports/Commercial service imports (current US$)", + "World/Asia/BGD/Imports/Commercial service imports (current US$)", + "World/Latam/BRA/Imports/Commercial service imports (current US$)", + "World/Latam/CHL/Imports/Commercial service imports (current US$)", + "World/Pair/CHN/Imports/Commercial service imports (current US$)", + "World/South Africa/CMR/Imports/Commercial service imports (current US$)", + "World/Latam/COL/Imports/Commercial service imports (current US$)", + "World/Latam/CRI/Imports/Commercial service imports (current US$)", + "World/Europe/DEU/Imports/Commercial service imports (current US$)", + "World/North Africa/DZA/Imports/Commercial service imports (current US$)", + "World/North Africa/EGY/Imports/Commercial service imports (current US$)", + "World/Europe/ESP/Imports/Commercial service imports (current US$)", + "World/Europe/FRA/Imports/Commercial service imports (current US$)", + "World/Europe/GBR/Imports/Commercial service imports (current US$)", + "World/South Africa/GHA/Imports/Commercial service imports (current US$)", + "World/Europe/HRV/Imports/Commercial service imports (current US$)", + "World/Asia/IDN/Imports/Commercial service imports (current US$)", + "World/Asia/IND/Imports/Commercial service imports (current US$)", + "World/North Africa/ISR/Imports/Commercial service imports (current US$)", + "World/Asia/KOR/Imports/Commercial service imports (current US$)", + "World/North Africa/MAR/Imports/Commercial service imports (current US$)", + "World/Latam/MEX/Imports/Commercial service imports (current US$)", + "World/South Africa/MOZ/Imports/Commercial service imports (current US$)", + "World/South Africa/NGA/Imports/Commercial service imports (current US$)", + "World/Europe/NLD/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/OMN/Imports/Commercial service imports (current US$)", + "World/Latam/PAN/Imports/Commercial service imports (current US$)", + "World/Latam/PER/Imports/Commercial service imports (current US$)", + "World/Asia/PHL/Imports/Commercial service imports (current US$)", + "World/Europe/POL/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/QAT/Imports/Commercial service imports (current US$)", + "World/South Africa/SEN/Imports/Commercial service imports (current US$)", + "World/Europe/SWE/Imports/Commercial service imports (current US$)", + "World/Asia/THA/Imports/Commercial service imports (current US$)", + "World/North Africa/TUR/Imports/Commercial service imports (current US$)", + "World/Pair/USA/Imports/Commercial service imports (current US$)", + "World/Asia/VNM/Imports/Commercial service imports (current US$)", + "World/South Africa/ZAF/Imports/Commercial service imports (current US$)", + "World/Latam/ARG/Demoraphy/Completeness of birth registration (%)", + "World/Asia/BGD/Demoraphy/Completeness of birth registration (%)", + "World/Latam/BRA/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/CMR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/COL/Demoraphy/Completeness of birth registration (%)", + "World/Latam/CRI/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/DZA/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/EGY/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/GHA/Demoraphy/Completeness of birth registration (%)", + "World/Asia/IND/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/LBR/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/MAR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/MEX/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/MOZ/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/NGA/Demoraphy/Completeness of birth registration (%)", + "World/Latam/PAN/Demoraphy/Completeness of birth registration (%)", + "World/Latam/PER/Demoraphy/Completeness of birth registration (%)", + "World/Asia/PHL/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/TUR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/VEN/Demoraphy/Completeness of birth registration (%)", + "World/Asia/VNM/Demoraphy/Completeness of birth registration (%)", + "World/Persian Gulf/ARE/Economy/Consumer price index (2010 = 100)", + "World/Europe/AUT/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/AZE/Economy/Consumer price index (2010 = 100)", + "World/Asia/BGD/Economy/Consumer price index (2010 = 100)", + "World/Latam/BRA/Economy/Consumer price index (2010 = 100)", + "World/Latam/CHL/Economy/Consumer price index (2010 = 100)", + "World/Pair/CHN/Economy/Consumer price index (2010 = 100)", + "World/South Africa/CMR/Economy/Consumer price index (2010 = 100)", + "World/Latam/COL/Economy/Consumer price index (2010 = 100)", + "World/Latam/CRI/Economy/Consumer price index (2010 = 100)", + "World/Europe/DEU/Economy/Consumer price index (2010 = 100)", + "World/North Africa/DZA/Economy/Consumer price index (2010 = 100)", + "World/North Africa/EGY/Economy/Consumer price index (2010 = 100)", + "World/Europe/ESP/Economy/Consumer price index (2010 = 100)", + "World/Europe/FRA/Economy/Consumer price index (2010 = 100)", + "World/Europe/GBR/Economy/Consumer price index (2010 = 100)", + "World/South Africa/GHA/Economy/Consumer price index (2010 = 100)", + "World/Europe/GRC/Economy/Consumer price index (2010 = 100)", + "World/Asia/IDN/Economy/Consumer price index (2010 = 100)", + "World/Asia/IND/Economy/Consumer price index (2010 = 100)", + "World/North Africa/ISR/Economy/Consumer price index (2010 = 100)", + "World/Asia/KOR/Economy/Consumer price index (2010 = 100)", + "World/South Africa/LBR/Economy/Consumer price index (2010 = 100)", + "World/North Africa/MAR/Economy/Consumer price index (2010 = 100)", + "World/Latam/MEX/Economy/Consumer price index (2010 = 100)", + "World/South Africa/MOZ/Economy/Consumer price index (2010 = 100)", + "World/South Africa/NGA/Economy/Consumer price index (2010 = 100)", + "World/Europe/NLD/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/OMN/Economy/Consumer price index (2010 = 100)", + "World/Latam/PAN/Economy/Consumer price index (2010 = 100)", + "World/Latam/PER/Economy/Consumer price index (2010 = 100)", + "World/Asia/PHL/Economy/Consumer price index (2010 = 100)", + "World/Europe/POL/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/QAT/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/SAU/Economy/Consumer price index (2010 = 100)", + "World/South Africa/SEN/Economy/Consumer price index (2010 = 100)", + "World/Europe/SWE/Economy/Consumer price index (2010 = 100)", + "World/Asia/THA/Economy/Consumer price index (2010 = 100)", + "World/North Africa/TUR/Economy/Consumer price index (2010 = 100)", + "World/Pair/USA/Economy/Consumer price index (2010 = 100)", + "World/Latam/VEN/Economy/Consumer price index (2010 = 100)", + "World/Asia/VNM/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/YEM/Economy/Consumer price index (2010 = 100)", + "World/South Africa/ZAF/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/ARE/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/BGD/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/CHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Pair/CHN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/CMR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/COL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/CRI/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/DEU/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/ESP/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/FRA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/GBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/GHA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/IDN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/IND/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/ISR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/KOR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/LBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/MAR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/MEX/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/MOZ/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/NLD/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/OMN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/PAN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/PER/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/PHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/POL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/QAT/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/SAU/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/SWE/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/THA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/TUR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Pair/USA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/VNM/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/ZAF/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/AZE/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/BGD/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/BRA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/CHL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Pair/CHN/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/CMR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/COL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/CRI/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/DZA/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/EGY/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/GHA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/IDN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/IND/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/MAR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/MEX/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/MOZ/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/NGA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/PER/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/PHL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/SEN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/THA/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/TUR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Pair/USA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/VNM/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/ARG/Health/Current health expenditure (% of GDP)", + "World/Europe/AUT/Health/Current health expenditure (% of GDP)", + "World/Latam/CHL/Health/Current health expenditure (% of GDP)", + "World/Pair/CHN/Health/Current health expenditure (% of GDP)", + "World/South Africa/CMR/Health/Current health expenditure (% of GDP)", + "World/Latam/COL/Health/Current health expenditure (% of GDP)", + "World/Latam/CRI/Health/Current health expenditure (% of GDP)", + "World/Europe/ESP/Health/Current health expenditure (% of GDP)", + "World/Europe/FRA/Health/Current health expenditure (% of GDP)", + "World/Europe/GBR/Health/Current health expenditure (% of GDP)", + "World/Europe/GRC/Health/Current health expenditure (% of GDP)", + "World/Asia/IDN/Health/Current health expenditure (% of GDP)", + "World/Asia/IND/Health/Current health expenditure (% of GDP)", + "World/Asia/KOR/Health/Current health expenditure (% of GDP)", + "World/South Africa/MOZ/Health/Current health expenditure (% of GDP)", + "World/Europe/NLD/Health/Current health expenditure (% of GDP)", + "World/Latam/PER/Health/Current health expenditure (% of GDP)", + "World/Europe/POL/Health/Current health expenditure (% of GDP)", + "World/Europe/SWE/Health/Current health expenditure (% of GDP)", + "World/Asia/THA/Health/Current health expenditure (% of GDP)", + "World/Pair/USA/Health/Current health expenditure (% of GDP)", + "World/Asia/VNM/Health/Current health expenditure (% of GDP)", + "World/Persian Gulf/YEM/Health/Current health expenditure (% of GDP)", + "World/Persian Gulf/ARE/Health/Current health expenditure per capita (current US$)", + "World/Latam/ARG/Health/Current health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Current health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Current health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Current health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Current health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Current health expenditure per capita (current US$)", + "World/South Africa/CMR/Health/Current health expenditure per capita (current US$)", + "World/Latam/COL/Health/Current health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Current health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Current health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Current health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Current health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Current health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Current health expenditure per capita (current US$)", + "World/South Africa/GHA/Health/Current health expenditure per capita (current US$)", + "World/Europe/GRC/Health/Current health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Current health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Current health expenditure per capita (current US$)", + "World/Asia/IND/Health/Current health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Current health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Current health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Current health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Current health expenditure per capita (current US$)", + "World/Latam/MEX/Health/Current health expenditure per capita (current US$)", + "World/South Africa/MOZ/Health/Current health expenditure per capita (current US$)", + "World/South Africa/NGA/Health/Current health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/OMN/Health/Current health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Current health expenditure per capita (current US$)", + "World/Latam/PER/Health/Current health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Current health expenditure per capita (current US$)", + "World/Europe/POL/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Current health expenditure per capita (current US$)", + "World/South Africa/SEN/Health/Current health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Current health expenditure per capita (current US$)", + "World/Asia/THA/Health/Current health expenditure per capita (current US$)", + "World/Pair/USA/Health/Current health expenditure per capita (current US$)", + "World/Latam/VEN/Health/Current health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Health/Current health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/BGD/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/CHL/Economy/Customs and other import duties (% of tax revenue)", + "World/Pair/CHN/Economy/Customs and other import duties (% of tax revenue)", + "World/South Africa/CMR/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/COL/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/CRI/Economy/Customs and other import duties (% of tax revenue)", + "World/North Africa/EGY/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/ESP/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/HRV/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/IND/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/KOR/Economy/Customs and other import duties (% of tax revenue)", + "World/North Africa/MAR/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/MEX/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/PAN/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/PER/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/POL/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/THA/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/BGD/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/CHL/Economy/Domestic credit to private sector (% of GDP)", + "World/Pair/CHN/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/CMR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/COL/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/CRI/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/DEU/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/DZA/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/EGY/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/FRA/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/GRC/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/HRV/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/IND/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/KOR/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/LBR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/MEX/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/OMN/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/PER/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/POL/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/QAT/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/SAU/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/SEN/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/SWE/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/TUR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/VEN/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/VNM/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/ARE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/AZE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/BGD/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/CHL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Pair/CHN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/CMR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/COL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/CRI/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/DEU/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/DZA/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/EGY/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/GRC/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/HRV/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/IND/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/KOR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/LBR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/MAR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/MEX/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/OMN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/PAN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/PER/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/POL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/QAT/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/SAU/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/SEN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/SWE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/TUR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/VEN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/VNM/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/ARG/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/COL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/GRC/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/IND/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/MEX/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/MOZ/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/OMN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/PER/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/POL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/THA/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/TUR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Pair/USA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/ARG/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Domestic private health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/CMR/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/COL/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/EGY/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/GHA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/IND/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/NGA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/PER/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/POL/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/SEN/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/THA/Health/Domestic private health expenditure per capita (current US$)", + "World/Pair/USA/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/AUT/Environment/Electric power consumption (kWh per capita)", + "World/Asia/BGD/Environment/Electric power consumption (kWh per capita)", + "World/Latam/BRA/Environment/Electric power consumption (kWh per capita)", + "World/Latam/CHL/Environment/Electric power consumption (kWh per capita)", + "World/Pair/CHN/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/CMR/Environment/Electric power consumption (kWh per capita)", + "World/Latam/COL/Environment/Electric power consumption (kWh per capita)", + "World/Latam/CRI/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/DZA/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/EGY/Environment/Electric power consumption (kWh per capita)", + "World/Europe/GBR/Environment/Electric power consumption (kWh per capita)", + "World/Europe/GRC/Environment/Electric power consumption (kWh per capita)", + "World/Europe/HRV/Environment/Electric power consumption (kWh per capita)", + "World/Asia/IDN/Environment/Electric power consumption (kWh per capita)", + "World/Asia/IND/Environment/Electric power consumption (kWh per capita)", + "World/Asia/KOR/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/MAR/Environment/Electric power consumption (kWh per capita)", + "World/Latam/MEX/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/MOZ/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/NGA/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/OMN/Environment/Electric power consumption (kWh per capita)", + "World/Latam/PAN/Environment/Electric power consumption (kWh per capita)", + "World/Latam/PER/Environment/Electric power consumption (kWh per capita)", + "World/Asia/PHL/Environment/Electric power consumption (kWh per capita)", + "World/Europe/POL/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/SAU/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/SEN/Environment/Electric power consumption (kWh per capita)", + "World/Europe/SWE/Environment/Electric power consumption (kWh per capita)", + "World/Asia/THA/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/TUR/Environment/Electric power consumption (kWh per capita)", + "World/Asia/VNM/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/YEM/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/ARE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/CHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/COL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/GHA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/LBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/MEX/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/NGA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/PAN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/PER/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/PHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/QAT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/TUR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/GRC/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/HRV/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/SAU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Pair/USA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/ARE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/CHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/COL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/GHA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/GRC/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/HRV/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/LBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/MEX/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/NGA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/PAN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/PER/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/PHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/THA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/TUR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Pair/USA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/BGD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Pair/CHN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/CMR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/CRI/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/DEU/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/DZA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/GBR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/GHA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/IDN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/IND/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/ISR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/KOR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/MEX/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/MOZ/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/NGA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/NLD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Persian Gulf/OMN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/PAN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/PER/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/PHL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/POL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/SWE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/THA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/TUR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Pair/USA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/VEN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/BGD/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/BRA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/CHL/Environment/Energy use (kg of oil equivalent per capita)", + "World/Pair/CHN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/CRI/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/GBR/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/IDN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/IND/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/KOR/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/MAR/Environment/Energy use (kg of oil equivalent per capita)", + "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent per capita)", + "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/NLD/Environment/Energy use (kg of oil equivalent per capita)", + "World/Persian Gulf/OMN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/PAN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/PER/Environment/Energy use (kg of oil equivalent per capita)", + "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/THA/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent per capita)", + "World/Pair/USA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/VNM/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/AUT/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/AZE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/BGD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Pair/CHN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/CMR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/COL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/CRI/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/DEU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/ESP/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/FRA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/GBR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/GHA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/HRV/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/IDN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/IND/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/ISR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/KOR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/MEX/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/NLD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/PAN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/PHL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/POL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/SWE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Pair/USA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/ZAF/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/ARE/Exports/Export unit value index (2000 = 100)", + "World/Europe/AUT/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export unit value index (2000 = 100)", + "World/Asia/BGD/Exports/Export unit value index (2000 = 100)", + "World/Latam/BRA/Exports/Export unit value index (2000 = 100)", + "World/Latam/CRI/Exports/Export unit value index (2000 = 100)", + "World/Europe/DEU/Exports/Export unit value index (2000 = 100)", + "World/North Africa/DZA/Exports/Export unit value index (2000 = 100)", + "World/Europe/ESP/Exports/Export unit value index (2000 = 100)", + "World/Europe/FRA/Exports/Export unit value index (2000 = 100)", + "World/South Africa/GHA/Exports/Export unit value index (2000 = 100)", + "World/Europe/GRC/Exports/Export unit value index (2000 = 100)", + "World/Europe/HRV/Exports/Export unit value index (2000 = 100)", + "World/Latam/MEX/Exports/Export unit value index (2000 = 100)", + "World/Europe/NLD/Exports/Export unit value index (2000 = 100)", + "World/Latam/PAN/Exports/Export unit value index (2000 = 100)", + "World/Europe/POL/Exports/Export unit value index (2000 = 100)", + "World/Europe/SWE/Exports/Export unit value index (2000 = 100)", + "World/Asia/THA/Exports/Export unit value index (2000 = 100)", + "World/Asia/VNM/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/YEM/Exports/Export unit value index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/ARE/Exports/Export value index (2000 = 100)", + "World/Europe/AUT/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export value index (2000 = 100)", + "World/Asia/BGD/Exports/Export value index (2000 = 100)", + "World/Latam/BRA/Exports/Export value index (2000 = 100)", + "World/Latam/CHL/Exports/Export value index (2000 = 100)", + "World/Pair/CHN/Exports/Export value index (2000 = 100)", + "World/Latam/COL/Exports/Export value index (2000 = 100)", + "World/Latam/CRI/Exports/Export value index (2000 = 100)", + "World/Europe/DEU/Exports/Export value index (2000 = 100)", + "World/North Africa/DZA/Exports/Export value index (2000 = 100)", + "World/Europe/ESP/Exports/Export value index (2000 = 100)", + "World/Europe/FRA/Exports/Export value index (2000 = 100)", + "World/Europe/GBR/Exports/Export value index (2000 = 100)", + "World/South Africa/GHA/Exports/Export value index (2000 = 100)", + "World/Asia/IDN/Exports/Export value index (2000 = 100)", + "World/Asia/IND/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/IRQ/Exports/Export value index (2000 = 100)", + "World/Asia/KOR/Exports/Export value index (2000 = 100)", + "World/North Africa/MAR/Exports/Export value index (2000 = 100)", + "World/Latam/MEX/Exports/Export value index (2000 = 100)", + "World/South Africa/MOZ/Exports/Export value index (2000 = 100)", + "World/Europe/NLD/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/OMN/Exports/Export value index (2000 = 100)", + "World/Latam/PAN/Exports/Export value index (2000 = 100)", + "World/Latam/PER/Exports/Export value index (2000 = 100)", + "World/Asia/PHL/Exports/Export value index (2000 = 100)", + "World/Europe/POL/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/QAT/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/SAU/Exports/Export value index (2000 = 100)", + "World/South Africa/SEN/Exports/Export value index (2000 = 100)", + "World/Europe/SWE/Exports/Export value index (2000 = 100)", + "World/Asia/THA/Exports/Export value index (2000 = 100)", + "World/North Africa/TUR/Exports/Export value index (2000 = 100)", + "World/Pair/USA/Exports/Export value index (2000 = 100)", + "World/Latam/VEN/Exports/Export value index (2000 = 100)", + "World/Asia/VNM/Exports/Export value index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/ARE/Exports/Export volume index (2000 = 100)", + "World/Europe/AUT/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export volume index (2000 = 100)", + "World/Asia/BGD/Exports/Export volume index (2000 = 100)", + "World/Latam/BRA/Exports/Export volume index (2000 = 100)", + "World/Latam/CHL/Exports/Export volume index (2000 = 100)", + "World/Pair/CHN/Exports/Export volume index (2000 = 100)", + "World/Latam/COL/Exports/Export volume index (2000 = 100)", + "World/Latam/CRI/Exports/Export volume index (2000 = 100)", + "World/Europe/ESP/Exports/Export volume index (2000 = 100)", + "World/South Africa/GHA/Exports/Export volume index (2000 = 100)", + "World/Europe/GRC/Exports/Export volume index (2000 = 100)", + "World/Asia/IDN/Exports/Export volume index (2000 = 100)", + "World/Asia/IND/Exports/Export volume index (2000 = 100)", + "World/North Africa/ISR/Exports/Export volume index (2000 = 100)", + "World/Asia/KOR/Exports/Export volume index (2000 = 100)", + "World/North Africa/MAR/Exports/Export volume index (2000 = 100)", + "World/Latam/MEX/Exports/Export volume index (2000 = 100)", + "World/South Africa/MOZ/Exports/Export volume index (2000 = 100)", + "World/Europe/NLD/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/OMN/Exports/Export volume index (2000 = 100)", + "World/Latam/PAN/Exports/Export volume index (2000 = 100)", + "World/Latam/PER/Exports/Export volume index (2000 = 100)", + "World/Asia/PHL/Exports/Export volume index (2000 = 100)", + "World/Europe/POL/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/QAT/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/SAU/Exports/Export volume index (2000 = 100)", + "World/Asia/THA/Exports/Export volume index (2000 = 100)", + "World/North Africa/TUR/Exports/Export volume index (2000 = 100)", + "World/Pair/USA/Exports/Export volume index (2000 = 100)", + "World/Latam/VEN/Exports/Export volume index (2000 = 100)", + "World/Asia/VNM/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/YEM/Exports/Export volume index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export volume index (2000 = 100)", + "World/Europe/AUT/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/AZE/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/BGD/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/BRA/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/CHL/Exports/Exports of goods and services (BoP, current US$)", + "World/Pair/CHN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/COL/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/CRI/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/DEU/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/ESP/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/FRA/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/GBR/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/GHA/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/HRV/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/IDN/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/IND/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/IRQ/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/ISR/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/KOR/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/MAR/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/MEX/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/MOZ/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/NLD/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/PAN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/PER/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/PHL/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/POL/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/SEN/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/SWE/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/THA/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/TUR/Exports/Exports of goods and services (BoP, current US$)", + "World/Pair/USA/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/VEN/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/VNM/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/ZAF/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/ARE/Exports/Exports of goods and services (current US$)", + "World/Europe/AUT/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/AZE/Exports/Exports of goods and services (current US$)", + "World/Asia/BGD/Exports/Exports of goods and services (current US$)", + "World/Latam/BRA/Exports/Exports of goods and services (current US$)", + "World/Latam/CHL/Exports/Exports of goods and services (current US$)", + "World/Pair/CHN/Exports/Exports of goods and services (current US$)", + "World/Latam/COL/Exports/Exports of goods and services (current US$)", + "World/Latam/CRI/Exports/Exports of goods and services (current US$)", + "World/Europe/DEU/Exports/Exports of goods and services (current US$)", + "World/North Africa/DZA/Exports/Exports of goods and services (current US$)", + "World/Europe/ESP/Exports/Exports of goods and services (current US$)", + "World/Europe/FRA/Exports/Exports of goods and services (current US$)", + "World/Europe/GBR/Exports/Exports of goods and services (current US$)", + "World/South Africa/GHA/Exports/Exports of goods and services (current US$)", + "World/Europe/HRV/Exports/Exports of goods and services (current US$)", + "World/Asia/IDN/Exports/Exports of goods and services (current US$)", + "World/Asia/IND/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/IRQ/Exports/Exports of goods and services (current US$)", + "World/North Africa/ISR/Exports/Exports of goods and services (current US$)", + "World/Asia/KOR/Exports/Exports of goods and services (current US$)", + "World/North Africa/MAR/Exports/Exports of goods and services (current US$)", + "World/Latam/MEX/Exports/Exports of goods and services (current US$)", + "World/South Africa/MOZ/Exports/Exports of goods and services (current US$)", + "World/Europe/NLD/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/OMN/Exports/Exports of goods and services (current US$)", + "World/Latam/PAN/Exports/Exports of goods and services (current US$)", + "World/Latam/PER/Exports/Exports of goods and services (current US$)", + "World/Asia/PHL/Exports/Exports of goods and services (current US$)", + "World/Europe/POL/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/QAT/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/SAU/Exports/Exports of goods and services (current US$)", + "World/South Africa/SEN/Exports/Exports of goods and services (current US$)", + "World/Europe/SWE/Exports/Exports of goods and services (current US$)", + "World/Asia/THA/Exports/Exports of goods and services (current US$)", + "World/North Africa/TUR/Exports/Exports of goods and services (current US$)", + "World/Pair/USA/Exports/Exports of goods and services (current US$)", + "World/Latam/VEN/Exports/Exports of goods and services (current US$)", + "World/Asia/VNM/Exports/Exports of goods and services (current US$)", + "World/South Africa/ZAF/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/ARE/Economy/Final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/Final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Final consumption expenditure (current US$)", + "World/Asia/BGD/Economy/Final consumption expenditure (current US$)", + "World/Latam/BRA/Economy/Final consumption expenditure (current US$)", + "World/Latam/CHL/Economy/Final consumption expenditure (current US$)", + "World/Pair/CHN/Economy/Final consumption expenditure (current US$)", + "World/South Africa/CMR/Economy/Final consumption expenditure (current US$)", + "World/Latam/COL/Economy/Final consumption expenditure (current US$)", + "World/Latam/CRI/Economy/Final consumption expenditure (current US$)", + "World/Europe/DEU/Economy/Final consumption expenditure (current US$)", + "World/North Africa/DZA/Economy/Final consumption expenditure (current US$)", + "World/North Africa/EGY/Economy/Final consumption expenditure (current US$)", + "World/Europe/ESP/Economy/Final consumption expenditure (current US$)", + "World/Europe/FRA/Economy/Final consumption expenditure (current US$)", + "World/Europe/GBR/Economy/Final consumption expenditure (current US$)", + "World/South Africa/GHA/Economy/Final consumption expenditure (current US$)", + "World/Europe/GRC/Economy/Final consumption expenditure (current US$)", + "World/Europe/HRV/Economy/Final consumption expenditure (current US$)", + "World/Asia/IDN/Economy/Final consumption expenditure (current US$)", + "World/Asia/IND/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/Final consumption expenditure (current US$)", + "World/North Africa/ISR/Economy/Final consumption expenditure (current US$)", + "World/Asia/KOR/Economy/Final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/Final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/Final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/Final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/Final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/Final consumption expenditure (current US$)", + "World/Latam/PER/Economy/Final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/Final consumption expenditure (current US$)", + "World/Europe/POL/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/Final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/Final consumption expenditure (current US$)", + "World/Asia/THA/Economy/Final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/Final consumption expenditure (current US$)", + "World/Pair/USA/Economy/Final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/Final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/Final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/Final consumption expenditure (current US$)", + "World/Latam/ARG/R&D/Firms offering formal training (% of firms)", + "World/Latam/CHL/R&D/Firms offering formal training (% of firms)", + "World/Latam/COL/R&D/Firms offering formal training (% of firms)", + "World/Latam/CRI/R&D/Firms offering formal training (% of firms)", + "World/North Africa/EGY/R&D/Firms offering formal training (% of firms)", + "World/South Africa/GHA/R&D/Firms offering formal training (% of firms)", + "World/Europe/GRC/R&D/Firms offering formal training (% of firms)", + "World/Europe/HRV/R&D/Firms offering formal training (% of firms)", + "World/Asia/IDN/R&D/Firms offering formal training (% of firms)", + "World/Asia/IND/R&D/Firms offering formal training (% of firms)", + "World/South Africa/LBR/R&D/Firms offering formal training (% of firms)", + "World/North Africa/MAR/R&D/Firms offering formal training (% of firms)", + "World/Latam/MEX/R&D/Firms offering formal training (% of firms)", + "World/South Africa/MOZ/R&D/Firms offering formal training (% of firms)", + "World/South Africa/NGA/R&D/Firms offering formal training (% of firms)", + "World/Latam/PAN/R&D/Firms offering formal training (% of firms)", + "World/Latam/PER/R&D/Firms offering formal training (% of firms)", + "World/Asia/PHL/R&D/Firms offering formal training (% of firms)", + "World/Europe/POL/R&D/Firms offering formal training (% of firms)", + "World/South Africa/SEN/R&D/Firms offering formal training (% of firms)", + "World/Asia/THA/R&D/Firms offering formal training (% of firms)", + "World/North Africa/TUR/R&D/Firms offering formal training (% of firms)", + "World/Latam/VEN/R&D/Firms offering formal training (% of firms)", + "World/Asia/VNM/R&D/Firms offering formal training (% of firms)", + "World/Persian Gulf/YEM/R&D/Firms offering formal training (% of firms)", + "World/South Africa/ZAF/R&D/Firms offering formal training (% of firms)", + "World/Latam/ARG/Economy/Firms using banks to finance investment (% of firms)", + "World/Persian Gulf/AZE/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/BGD/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/CHL/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/CMR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/COL/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/CRI/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/EGY/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/GHA/Economy/Firms using banks to finance investment (% of firms)", + "World/Europe/GRC/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/IDN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/IND/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/LBR/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/MAR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/MEX/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/MOZ/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/NGA/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/PAN/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/PER/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/PHL/Economy/Firms using banks to finance investment (% of firms)", + "World/Europe/POL/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/SEN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/THA/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/TUR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/VEN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/VNM/Economy/Firms using banks to finance investment (% of firms)", + "World/Persian Gulf/YEM/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/ZAF/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/ARG/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/AZE/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/BGD/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/CHL/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/CMR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/COL/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/CRI/Economy/Firms using banks to finance working capital (% of firms)", + "World/North Africa/EGY/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/GHA/Economy/Firms using banks to finance working capital (% of firms)", + "World/Europe/GRC/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/IDN/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/LBR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/MEX/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/MOZ/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/NGA/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/PAN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/PER/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/PHL/Economy/Firms using banks to finance working capital (% of firms)", + "World/Europe/POL/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/SEN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/THA/Economy/Firms using banks to finance working capital (% of firms)", + "World/North Africa/TUR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/VEN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/VNM/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/YEM/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/ZAF/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions", + "World/Latam/ARG/Internet/Fixed broadband subscriptions", + "World/Europe/AUT/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions", + "World/Asia/BGD/Internet/Fixed broadband subscriptions", + "World/Latam/BRA/Internet/Fixed broadband subscriptions", + "World/Latam/CHL/Internet/Fixed broadband subscriptions", + "World/Pair/CHN/Internet/Fixed broadband subscriptions", + "World/South Africa/CMR/Internet/Fixed broadband subscriptions", + "World/Latam/COL/Internet/Fixed broadband subscriptions", + "World/Latam/CRI/Internet/Fixed broadband subscriptions", + "World/Europe/DEU/Internet/Fixed broadband subscriptions", + "World/North Africa/DZA/Internet/Fixed broadband subscriptions", + "World/North Africa/EGY/Internet/Fixed broadband subscriptions", + "World/Europe/ESP/Internet/Fixed broadband subscriptions", + "World/Europe/FRA/Internet/Fixed broadband subscriptions", + "World/Europe/GBR/Internet/Fixed broadband subscriptions", + "World/South Africa/GHA/Internet/Fixed broadband subscriptions", + "World/Europe/GRC/Internet/Fixed broadband subscriptions", + "World/Europe/HRV/Internet/Fixed broadband subscriptions", + "World/Asia/IDN/Internet/Fixed broadband subscriptions", + "World/Asia/IND/Internet/Fixed broadband subscriptions", + "World/North Africa/ISR/Internet/Fixed broadband subscriptions", + "World/Asia/KOR/Internet/Fixed broadband subscriptions", + "World/South Africa/LBR/Internet/Fixed broadband subscriptions", + "World/North Africa/MAR/Internet/Fixed broadband subscriptions", + "World/Latam/MEX/Internet/Fixed broadband subscriptions", + "World/South Africa/MOZ/Internet/Fixed broadband subscriptions", + "World/Europe/NLD/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions", + "World/Latam/PAN/Internet/Fixed broadband subscriptions", + "World/Latam/PER/Internet/Fixed broadband subscriptions", + "World/Asia/PHL/Internet/Fixed broadband subscriptions", + "World/Europe/POL/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions", + "World/South Africa/SEN/Internet/Fixed broadband subscriptions", + "World/Europe/SWE/Internet/Fixed broadband subscriptions", + "World/Asia/THA/Internet/Fixed broadband subscriptions", + "World/North Africa/TUR/Internet/Fixed broadband subscriptions", + "World/Pair/USA/Internet/Fixed broadband subscriptions", + "World/Latam/VEN/Internet/Fixed broadband subscriptions", + "World/Asia/VNM/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions", + "World/South Africa/ZAF/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/ARG/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/AUT/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/BGD/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/BRA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/CHL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Pair/CHN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/CMR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/COL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/CRI/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/DEU/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/DZA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/EGY/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/ESP/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/FRA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/GBR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/GHA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/GRC/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/HRV/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/IDN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/IND/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/ISR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/KOR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/LBR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/MAR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/MEX/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/MOZ/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/NLD/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/PAN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/PER/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/PHL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/POL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/SEN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/SWE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/THA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/TUR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Pair/USA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/VEN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/VNM/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/ZAF/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/ARE/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/AZE/Industry/Food production index (2014-2016 = 100)", + "World/Asia/BGD/Industry/Food production index (2014-2016 = 100)", + "World/Latam/BRA/Industry/Food production index (2014-2016 = 100)", + "World/Latam/CHL/Industry/Food production index (2014-2016 = 100)", + "World/Pair/CHN/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/CMR/Industry/Food production index (2014-2016 = 100)", + "World/Latam/COL/Industry/Food production index (2014-2016 = 100)", + "World/Latam/CRI/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/DZA/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/EGY/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/GHA/Industry/Food production index (2014-2016 = 100)", + "World/Asia/IDN/Industry/Food production index (2014-2016 = 100)", + "World/Asia/IND/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/ISR/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/LBR/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/MAR/Industry/Food production index (2014-2016 = 100)", + "World/Latam/MEX/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/MOZ/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/NGA/Industry/Food production index (2014-2016 = 100)", + "World/Europe/NLD/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Industry/Food production index (2014-2016 = 100)", + "World/Latam/PAN/Industry/Food production index (2014-2016 = 100)", + "World/Latam/PER/Industry/Food production index (2014-2016 = 100)", + "World/Asia/PHL/Industry/Food production index (2014-2016 = 100)", + "World/Europe/POL/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/SAU/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/SEN/Industry/Food production index (2014-2016 = 100)", + "World/Asia/THA/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/TUR/Industry/Food production index (2014-2016 = 100)", + "World/Pair/USA/Industry/Food production index (2014-2016 = 100)", + "World/Asia/VNM/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/ZAF/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/ARE/Demography/Forest area (% of land area)", + "World/Latam/ARG/Demography/Forest area (% of land area)", + "World/Europe/AUT/Demography/Forest area (% of land area)", + "World/Persian Gulf/AZE/Demography/Forest area (% of land area)", + "World/Asia/BGD/Demography/Forest area (% of land area)", + "World/Latam/BRA/Demography/Forest area (% of land area)", + "World/Latam/CHL/Demography/Forest area (% of land area)", + "World/Pair/CHN/Demography/Forest area (% of land area)", + "World/South Africa/CMR/Demography/Forest area (% of land area)", + "World/Latam/COL/Demography/Forest area (% of land area)", + "World/Latam/CRI/Demography/Forest area (% of land area)", + "World/North Africa/DZA/Demography/Forest area (% of land area)", + "World/North Africa/EGY/Demography/Forest area (% of land area)", + "World/Europe/ESP/Demography/Forest area (% of land area)", + "World/Europe/FRA/Demography/Forest area (% of land area)", + "World/Europe/GBR/Demography/Forest area (% of land area)", + "World/Europe/GRC/Demography/Forest area (% of land area)", + "World/Europe/HRV/Demography/Forest area (% of land area)", + "World/Asia/IDN/Demography/Forest area (% of land area)", + "World/Asia/IND/Demography/Forest area (% of land area)", + "World/Asia/KOR/Demography/Forest area (% of land area)", + "World/South Africa/LBR/Demography/Forest area (% of land area)", + "World/North Africa/MAR/Demography/Forest area (% of land area)", + "World/Latam/MEX/Demography/Forest area (% of land area)", + "World/South Africa/MOZ/Demography/Forest area (% of land area)", + "World/South Africa/NGA/Demography/Forest area (% of land area)", + "World/Europe/NLD/Demography/Forest area (% of land area)", + "World/Latam/PAN/Demography/Forest area (% of land area)", + "World/Latam/PER/Demography/Forest area (% of land area)", + "World/Europe/POL/Demography/Forest area (% of land area)", + "World/South Africa/SEN/Demography/Forest area (% of land area)", + "World/North Africa/TUR/Demography/Forest area (% of land area)", + "World/Pair/USA/Demography/Forest area (% of land area)", + "World/Latam/VEN/Demography/Forest area (% of land area)", + "World/Asia/VNM/Demography/Forest area (% of land area)", + "World/South Africa/ZAF/Demography/Forest area (% of land area)", + "World/Persian Gulf/ARE/Principal/GDP deflator (base year varies by country)", + "World/Europe/AUT/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/AZE/Principal/GDP deflator (base year varies by country)", + "World/Asia/BGD/Principal/GDP deflator (base year varies by country)", + "World/Latam/BRA/Principal/GDP deflator (base year varies by country)", + "World/Latam/CHL/Principal/GDP deflator (base year varies by country)", + "World/Pair/CHN/Principal/GDP deflator (base year varies by country)", + "World/South Africa/CMR/Principal/GDP deflator (base year varies by country)", + "World/Latam/COL/Principal/GDP deflator (base year varies by country)", + "World/Latam/CRI/Principal/GDP deflator (base year varies by country)", + "World/Europe/DEU/Principal/GDP deflator (base year varies by country)", + "World/North Africa/DZA/Principal/GDP deflator (base year varies by country)", + "World/North Africa/EGY/Principal/GDP deflator (base year varies by country)", + "World/Europe/ESP/Principal/GDP deflator (base year varies by country)", + "World/Europe/FRA/Principal/GDP deflator (base year varies by country)", + "World/Europe/GBR/Principal/GDP deflator (base year varies by country)", + "World/South Africa/GHA/Principal/GDP deflator (base year varies by country)", + "World/Europe/GRC/Principal/GDP deflator (base year varies by country)", + "World/Europe/HRV/Principal/GDP deflator (base year varies by country)", + "World/Asia/IDN/Principal/GDP deflator (base year varies by country)", + "World/Asia/IND/Principal/GDP deflator (base year varies by country)", + "World/North Africa/ISR/Principal/GDP deflator (base year varies by country)", + "World/Asia/KOR/Principal/GDP deflator (base year varies by country)", + "World/South Africa/LBR/Principal/GDP deflator (base year varies by country)", + "World/North Africa/MAR/Principal/GDP deflator (base year varies by country)", + "World/Latam/MEX/Principal/GDP deflator (base year varies by country)", + "World/South Africa/MOZ/Principal/GDP deflator (base year varies by country)", + "World/South Africa/NGA/Principal/GDP deflator (base year varies by country)", + "World/Europe/NLD/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/OMN/Principal/GDP deflator (base year varies by country)", + "World/Latam/PAN/Principal/GDP deflator (base year varies by country)", + "World/Latam/PER/Principal/GDP deflator (base year varies by country)", + "World/Asia/PHL/Principal/GDP deflator (base year varies by country)", + "World/Europe/POL/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/QAT/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/SAU/Principal/GDP deflator (base year varies by country)", + "World/South Africa/SEN/Principal/GDP deflator (base year varies by country)", + "World/Asia/THA/Principal/GDP deflator (base year varies by country)", + "World/North Africa/TUR/Principal/GDP deflator (base year varies by country)", + "World/Pair/USA/Principal/GDP deflator (base year varies by country)", + "World/Latam/VEN/Principal/GDP deflator (base year varies by country)", + "World/Asia/VNM/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/YEM/Principal/GDP deflator (base year varies by country)", + "World/South Africa/ZAF/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/ARE/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/AUT/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/AZE/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/BGD/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/BRA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/CHL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Pair/CHN/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/CMR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/COL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/CRI/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/DEU/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/DZA/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/EGY/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/ESP/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/FRA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/GBR/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/GHA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/GRC/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/HRV/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/IDN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/IND/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/ISR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/KOR/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/LBR/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/MAR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/MEX/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/MOZ/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/NGA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/NLD/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/OMN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/PAN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/PER/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/PHL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/POL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/QAT/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/SAU/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/SEN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/THA/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/TUR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Pair/USA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/VEN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/VNM/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/YEM/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/ZAF/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/ARE/Principal/GDP per capita (current US$)", + "World/Latam/ARG/Principal/GDP per capita (current US$)", + "World/Europe/AUT/Principal/GDP per capita (current US$)", + "World/Persian Gulf/AZE/Principal/GDP per capita (current US$)", + "World/Asia/BGD/Principal/GDP per capita (current US$)", + "World/Latam/BRA/Principal/GDP per capita (current US$)", + "World/Latam/CHL/Principal/GDP per capita (current US$)", + "World/Pair/CHN/Principal/GDP per capita (current US$)", + "World/South Africa/CMR/Principal/GDP per capita (current US$)", + "World/Latam/COL/Principal/GDP per capita (current US$)", + "World/Latam/CRI/Principal/GDP per capita (current US$)", + "World/Europe/DEU/Principal/GDP per capita (current US$)", + "World/North Africa/DZA/Principal/GDP per capita (current US$)", + "World/North Africa/EGY/Principal/GDP per capita (current US$)", + "World/Europe/ESP/Principal/GDP per capita (current US$)", + "World/Europe/FRA/Principal/GDP per capita (current US$)", + "World/Europe/GBR/Principal/GDP per capita (current US$)", + "World/South Africa/GHA/Principal/GDP per capita (current US$)", + "World/Europe/GRC/Principal/GDP per capita (current US$)", + "World/Europe/HRV/Principal/GDP per capita (current US$)", + "World/Asia/IDN/Principal/GDP per capita (current US$)", + "World/Asia/IND/Principal/GDP per capita (current US$)", + "World/Persian Gulf/IRQ/Principal/GDP per capita (current US$)", + "World/North Africa/ISR/Principal/GDP per capita (current US$)", + "World/Asia/KOR/Principal/GDP per capita (current US$)", + "World/North Africa/MAR/Principal/GDP per capita (current US$)", + "World/Latam/MEX/Principal/GDP per capita (current US$)", + "World/South Africa/MOZ/Principal/GDP per capita (current US$)", + "World/South Africa/NGA/Principal/GDP per capita (current US$)", + "World/Europe/NLD/Principal/GDP per capita (current US$)", + "World/Persian Gulf/OMN/Principal/GDP per capita (current US$)", + "World/Latam/PAN/Principal/GDP per capita (current US$)", + "World/Latam/PER/Principal/GDP per capita (current US$)", + "World/Asia/PHL/Principal/GDP per capita (current US$)", + "World/Europe/POL/Principal/GDP per capita (current US$)", + "World/Persian Gulf/QAT/Principal/GDP per capita (current US$)", + "World/Persian Gulf/SAU/Principal/GDP per capita (current US$)", + "World/South Africa/SEN/Principal/GDP per capita (current US$)", + "World/Europe/SWE/Principal/GDP per capita (current US$)", + "World/Asia/THA/Principal/GDP per capita (current US$)", + "World/North Africa/TUR/Principal/GDP per capita (current US$)", + "World/Pair/USA/Principal/GDP per capita (current US$)", + "World/Latam/VEN/Principal/GDP per capita (current US$)", + "World/Asia/VNM/Principal/GDP per capita (current US$)", + "World/Persian Gulf/YEM/Principal/GDP per capita (current US$)", + "World/South Africa/ZAF/Principal/GDP per capita (current US$)", + "World/Persian Gulf/ARE/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/ARG/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/AZE/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/BGD/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/BRA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/CHL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Pair/CHN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/CMR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/COL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/CRI/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/EGY/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/FRA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/GBR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/GHA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/GRC/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/IDN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/IND/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/ISR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/KOR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/MAR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/MOZ/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/NGA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/OMN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/PAN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/PER/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/PHL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/POL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/QAT/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/SAU/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/SEN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/THA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/TUR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Pair/USA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/VNM/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/ZAF/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/ARG/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/AUT/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Persian Gulf/AZE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/BGD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/BRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/CHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Pair/CHN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/CMR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/COL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/CRI/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/DEU/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/EGY/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/ESP/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/FRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/GBR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/GHA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/HRV/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/IDN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/IND/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/ISR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/KOR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/MAR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/MEX/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/MOZ/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/NGA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/NLD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/PAN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/PHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/POL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/SWE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/THA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/TUR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Pair/USA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/VNM/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/ZAF/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/AUT/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/AZE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/BGD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Pair/CHN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/CMR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/COL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/CRI/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/DEU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/DZA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/ESP/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/FRA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/GBR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/GHA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/HRV/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/IDN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/IND/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/ISR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/KOR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/MEX/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/MOZ/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/NGA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/NLD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/PAN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/PHL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/POL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/SAU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/SWE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/TUR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Pair/USA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/ZAF/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/ARE/Economy/GNI (current US$)", + "World/Latam/ARG/Economy/GNI (current US$)", + "World/Europe/AUT/Economy/GNI (current US$)", + "World/Persian Gulf/AZE/Economy/GNI (current US$)", + "World/Asia/BGD/Economy/GNI (current US$)", + "World/Latam/BRA/Economy/GNI (current US$)", + "World/Latam/CHL/Economy/GNI (current US$)", + "World/Pair/CHN/Economy/GNI (current US$)", + "World/South Africa/CMR/Economy/GNI (current US$)", + "World/Latam/COL/Economy/GNI (current US$)", + "World/Latam/CRI/Economy/GNI (current US$)", + "World/Europe/DEU/Economy/GNI (current US$)", + "World/North Africa/DZA/Economy/GNI (current US$)", + "World/North Africa/EGY/Economy/GNI (current US$)", + "World/Europe/ESP/Economy/GNI (current US$)", + "World/Europe/FRA/Economy/GNI (current US$)", + "World/Europe/GBR/Economy/GNI (current US$)", + "World/South Africa/GHA/Economy/GNI (current US$)", + "World/Europe/HRV/Economy/GNI (current US$)", + "World/Asia/IDN/Economy/GNI (current US$)", + "World/Asia/IND/Economy/GNI (current US$)", + "World/Persian Gulf/IRQ/Economy/GNI (current US$)", + "World/North Africa/ISR/Economy/GNI (current US$)", + "World/Asia/KOR/Economy/GNI (current US$)", + "World/South Africa/LBR/Economy/GNI (current US$)", + "World/North Africa/MAR/Economy/GNI (current US$)", + "World/Latam/MEX/Economy/GNI (current US$)", + "World/South Africa/MOZ/Economy/GNI (current US$)", + "World/South Africa/NGA/Economy/GNI (current US$)", + "World/Europe/NLD/Economy/GNI (current US$)", + "World/Persian Gulf/OMN/Economy/GNI (current US$)", + "World/Latam/PAN/Economy/GNI (current US$)", + "World/Latam/PER/Economy/GNI (current US$)", + "World/Asia/PHL/Economy/GNI (current US$)", + "World/Europe/POL/Economy/GNI (current US$)", + "World/Persian Gulf/QAT/Economy/GNI (current US$)", + "World/Persian Gulf/SAU/Economy/GNI (current US$)", + "World/South Africa/SEN/Economy/GNI (current US$)", + "World/Europe/SWE/Economy/GNI (current US$)", + "World/Asia/THA/Economy/GNI (current US$)", + "World/North Africa/TUR/Economy/GNI (current US$)", + "World/Pair/USA/Economy/GNI (current US$)", + "World/Latam/VEN/Economy/GNI (current US$)", + "World/Asia/VNM/Economy/GNI (current US$)", + "World/Persian Gulf/YEM/Economy/GNI (current US$)", + "World/South Africa/ZAF/Economy/GNI (current US$)", + "World/Persian Gulf/ARE/Economy/General government final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/General government final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/General government final consumption expenditure (current US$)", + "World/Asia/BGD/Economy/General government final consumption expenditure (current US$)", + "World/Latam/BRA/Economy/General government final consumption expenditure (current US$)", + "World/Latam/CHL/Economy/General government final consumption expenditure (current US$)", + "World/Pair/CHN/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/CMR/Economy/General government final consumption expenditure (current US$)", + "World/Latam/COL/Economy/General government final consumption expenditure (current US$)", + "World/Latam/CRI/Economy/General government final consumption expenditure (current US$)", + "World/Europe/DEU/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/DZA/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/EGY/Economy/General government final consumption expenditure (current US$)", + "World/Europe/ESP/Economy/General government final consumption expenditure (current US$)", + "World/Europe/FRA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/GBR/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/GHA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/GRC/Economy/General government final consumption expenditure (current US$)", + "World/Europe/HRV/Economy/General government final consumption expenditure (current US$)", + "World/Asia/IDN/Economy/General government final consumption expenditure (current US$)", + "World/Asia/IND/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/ISR/Economy/General government final consumption expenditure (current US$)", + "World/Asia/KOR/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/General government final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/General government final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/General government final consumption expenditure (current US$)", + "World/Latam/PER/Economy/General government final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/General government final consumption expenditure (current US$)", + "World/Europe/POL/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/General government final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/General government final consumption expenditure (current US$)", + "World/Asia/THA/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/General government final consumption expenditure (current US$)", + "World/Pair/USA/Economy/General government final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/General government final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/General government final consumption expenditure (current US$)", + "World/Europe/AUT/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/AZE/Exports/Goods exports (BoP, current US$)", + "World/Asia/BGD/Exports/Goods exports (BoP, current US$)", + "World/Latam/BRA/Exports/Goods exports (BoP, current US$)", + "World/Latam/CHL/Exports/Goods exports (BoP, current US$)", + "World/Pair/CHN/Exports/Goods exports (BoP, current US$)", + "World/Latam/COL/Exports/Goods exports (BoP, current US$)", + "World/Latam/CRI/Exports/Goods exports (BoP, current US$)", + "World/Europe/DEU/Exports/Goods exports (BoP, current US$)", + "World/Europe/ESP/Exports/Goods exports (BoP, current US$)", + "World/Europe/FRA/Exports/Goods exports (BoP, current US$)", + "World/Europe/GBR/Exports/Goods exports (BoP, current US$)", + "World/South Africa/GHA/Exports/Goods exports (BoP, current US$)", + "World/Asia/IDN/Exports/Goods exports (BoP, current US$)", + "World/Asia/IND/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/IRQ/Exports/Goods exports (BoP, current US$)", + "World/North Africa/ISR/Exports/Goods exports (BoP, current US$)", + "World/Asia/KOR/Exports/Goods exports (BoP, current US$)", + "World/South Africa/LBR/Exports/Goods exports (BoP, current US$)", + "World/North Africa/MAR/Exports/Goods exports (BoP, current US$)", + "World/Latam/MEX/Exports/Goods exports (BoP, current US$)", + "World/South Africa/MOZ/Exports/Goods exports (BoP, current US$)", + "World/Europe/NLD/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/Goods exports (BoP, current US$)", + "World/Latam/PER/Exports/Goods exports (BoP, current US$)", + "World/Asia/PHL/Exports/Goods exports (BoP, current US$)", + "World/Europe/POL/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/Goods exports (BoP, current US$)", + "World/South Africa/SEN/Exports/Goods exports (BoP, current US$)", + "World/Europe/SWE/Exports/Goods exports (BoP, current US$)", + "World/Asia/THA/Exports/Goods exports (BoP, current US$)", + "World/North Africa/TUR/Exports/Goods exports (BoP, current US$)", + "World/Pair/USA/Exports/Goods exports (BoP, current US$)", + "World/Latam/VEN/Exports/Goods exports (BoP, current US$)", + "World/Asia/VNM/Exports/Goods exports (BoP, current US$)", + "World/South Africa/ZAF/Exports/Goods exports (BoP, current US$)", + "World/Latam/ARG/Imports/Goods imports (BoP, current US$)", + "World/Europe/AUT/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/AZE/Imports/Goods imports (BoP, current US$)", + "World/Asia/BGD/Imports/Goods imports (BoP, current US$)", + "World/Latam/BRA/Imports/Goods imports (BoP, current US$)", + "World/Latam/CHL/Imports/Goods imports (BoP, current US$)", + "World/Pair/CHN/Imports/Goods imports (BoP, current US$)", + "World/Latam/COL/Imports/Goods imports (BoP, current US$)", + "World/Latam/CRI/Imports/Goods imports (BoP, current US$)", + "World/Europe/DEU/Imports/Goods imports (BoP, current US$)", + "World/North Africa/DZA/Imports/Goods imports (BoP, current US$)", + "World/North Africa/EGY/Imports/Goods imports (BoP, current US$)", + "World/Europe/ESP/Imports/Goods imports (BoP, current US$)", + "World/Europe/FRA/Imports/Goods imports (BoP, current US$)", + "World/Europe/GBR/Imports/Goods imports (BoP, current US$)", + "World/South Africa/GHA/Imports/Goods imports (BoP, current US$)", + "World/Europe/GRC/Imports/Goods imports (BoP, current US$)", + "World/Europe/HRV/Imports/Goods imports (BoP, current US$)", + "World/Asia/IDN/Imports/Goods imports (BoP, current US$)", + "World/Asia/IND/Imports/Goods imports (BoP, current US$)", + "World/North Africa/ISR/Imports/Goods imports (BoP, current US$)", + "World/Asia/KOR/Imports/Goods imports (BoP, current US$)", + "World/South Africa/LBR/Imports/Goods imports (BoP, current US$)", + "World/North Africa/MAR/Imports/Goods imports (BoP, current US$)", + "World/Latam/MEX/Imports/Goods imports (BoP, current US$)", + "World/South Africa/MOZ/Imports/Goods imports (BoP, current US$)", + "World/South Africa/NGA/Imports/Goods imports (BoP, current US$)", + "World/Europe/NLD/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Goods imports (BoP, current US$)", + "World/Latam/PER/Imports/Goods imports (BoP, current US$)", + "World/Asia/PHL/Imports/Goods imports (BoP, current US$)", + "World/Europe/POL/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/SAU/Imports/Goods imports (BoP, current US$)", + "World/South Africa/SEN/Imports/Goods imports (BoP, current US$)", + "World/Europe/SWE/Imports/Goods imports (BoP, current US$)", + "World/Asia/THA/Imports/Goods imports (BoP, current US$)", + "World/North Africa/TUR/Imports/Goods imports (BoP, current US$)", + "World/Pair/USA/Imports/Goods imports (BoP, current US$)", + "World/Asia/VNM/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/YEM/Imports/Goods imports (BoP, current US$)", + "World/South Africa/ZAF/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/ARE/Economy/Gross capital formation (current US$)", + "World/Latam/ARG/Economy/Gross capital formation (current US$)", + "World/Europe/AUT/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/AZE/Economy/Gross capital formation (current US$)", + "World/Asia/BGD/Economy/Gross capital formation (current US$)", + "World/Latam/BRA/Economy/Gross capital formation (current US$)", + "World/Latam/CHL/Economy/Gross capital formation (current US$)", + "World/Pair/CHN/Economy/Gross capital formation (current US$)", + "World/South Africa/CMR/Economy/Gross capital formation (current US$)", + "World/Latam/COL/Economy/Gross capital formation (current US$)", + "World/Latam/CRI/Economy/Gross capital formation (current US$)", + "World/Europe/DEU/Economy/Gross capital formation (current US$)", + "World/North Africa/DZA/Economy/Gross capital formation (current US$)", + "World/North Africa/EGY/Economy/Gross capital formation (current US$)", + "World/Europe/ESP/Economy/Gross capital formation (current US$)", + "World/Europe/FRA/Economy/Gross capital formation (current US$)", + "World/Europe/GBR/Economy/Gross capital formation (current US$)", + "World/South Africa/GHA/Economy/Gross capital formation (current US$)", + "World/Europe/HRV/Economy/Gross capital formation (current US$)", + "World/Asia/IDN/Economy/Gross capital formation (current US$)", + "World/Asia/IND/Economy/Gross capital formation (current US$)", + "World/North Africa/ISR/Economy/Gross capital formation (current US$)", + "World/Asia/KOR/Economy/Gross capital formation (current US$)", + "World/North Africa/MAR/Economy/Gross capital formation (current US$)", + "World/Latam/MEX/Economy/Gross capital formation (current US$)", + "World/South Africa/MOZ/Economy/Gross capital formation (current US$)", + "World/South Africa/NGA/Economy/Gross capital formation (current US$)", + "World/Europe/NLD/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/OMN/Economy/Gross capital formation (current US$)", + "World/Latam/PAN/Economy/Gross capital formation (current US$)", + "World/Latam/PER/Economy/Gross capital formation (current US$)", + "World/Asia/PHL/Economy/Gross capital formation (current US$)", + "World/Europe/POL/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/QAT/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/SAU/Economy/Gross capital formation (current US$)", + "World/South Africa/SEN/Economy/Gross capital formation (current US$)", + "World/Europe/SWE/Economy/Gross capital formation (current US$)", + "World/Asia/THA/Economy/Gross capital formation (current US$)", + "World/North Africa/TUR/Economy/Gross capital formation (current US$)", + "World/Pair/USA/Economy/Gross capital formation (current US$)", + "World/Latam/VEN/Economy/Gross capital formation (current US$)", + "World/Asia/VNM/Economy/Gross capital formation (current US$)", + "World/South Africa/ZAF/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/ARE/Economy/Gross domestic savings (current US$)", + "World/Latam/ARG/Economy/Gross domestic savings (current US$)", + "World/Europe/AUT/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/AZE/Economy/Gross domestic savings (current US$)", + "World/Asia/BGD/Economy/Gross domestic savings (current US$)", + "World/Latam/BRA/Economy/Gross domestic savings (current US$)", + "World/Latam/CHL/Economy/Gross domestic savings (current US$)", + "World/Pair/CHN/Economy/Gross domestic savings (current US$)", + "World/South Africa/CMR/Economy/Gross domestic savings (current US$)", + "World/Latam/COL/Economy/Gross domestic savings (current US$)", + "World/Latam/CRI/Economy/Gross domestic savings (current US$)", + "World/Europe/DEU/Economy/Gross domestic savings (current US$)", + "World/North Africa/DZA/Economy/Gross domestic savings (current US$)", + "World/Europe/ESP/Economy/Gross domestic savings (current US$)", + "World/Europe/FRA/Economy/Gross domestic savings (current US$)", + "World/Europe/GBR/Economy/Gross domestic savings (current US$)", + "World/Europe/HRV/Economy/Gross domestic savings (current US$)", + "World/Asia/IDN/Economy/Gross domestic savings (current US$)", + "World/Asia/IND/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/IRQ/Economy/Gross domestic savings (current US$)", + "World/North Africa/ISR/Economy/Gross domestic savings (current US$)", + "World/Asia/KOR/Economy/Gross domestic savings (current US$)", + "World/North Africa/MAR/Economy/Gross domestic savings (current US$)", + "World/Latam/MEX/Economy/Gross domestic savings (current US$)", + "World/South Africa/NGA/Economy/Gross domestic savings (current US$)", + "World/Europe/NLD/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/OMN/Economy/Gross domestic savings (current US$)", + "World/Latam/PAN/Economy/Gross domestic savings (current US$)", + "World/Latam/PER/Economy/Gross domestic savings (current US$)", + "World/Asia/PHL/Economy/Gross domestic savings (current US$)", + "World/Europe/POL/Economy/Gross domestic savings (current US$)", + "World/Persian 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"World/Latam/BRA/Economy/Gross fixed capital formation (current US$)", + "World/Latam/CHL/Economy/Gross fixed capital formation (current US$)", + "World/Pair/CHN/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/CMR/Economy/Gross fixed capital formation (current US$)", + "World/Latam/COL/Economy/Gross fixed capital formation (current US$)", + "World/Latam/CRI/Economy/Gross fixed capital formation (current US$)", + "World/Europe/DEU/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/DZA/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/EGY/Economy/Gross fixed capital formation (current US$)", + "World/Europe/FRA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/GBR/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/GHA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/HRV/Economy/Gross fixed capital formation (current US$)", + "World/Asia/IDN/Economy/Gross fixed capital formation (current US$)", + "World/Asia/IND/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/ISR/Economy/Gross fixed capital formation (current US$)", + "World/Asia/KOR/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/MAR/Economy/Gross fixed capital formation (current US$)", + "World/Latam/MEX/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/MOZ/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/NGA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/NLD/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/OMN/Economy/Gross fixed capital formation (current US$)", + "World/Latam/PAN/Economy/Gross fixed capital formation (current US$)", + "World/Latam/PER/Economy/Gross fixed capital formation (current US$)", + "World/Asia/PHL/Economy/Gross fixed capital formation (current US$)", + "World/Europe/POL/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/SAU/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/SEN/Economy/Gross fixed capital formation (current US$)", + "World/Europe/SWE/Economy/Gross fixed capital formation (current US$)", + "World/Asia/THA/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/TUR/Economy/Gross fixed capital formation (current US$)", + "World/Pair/USA/Economy/Gross fixed capital formation (current US$)", + "World/Latam/VEN/Economy/Gross fixed capital formation (current US$)", + "World/Asia/VNM/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/ZAF/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/ARE/Economy/Gross national expenditure (current US$)", + "World/Latam/ARG/Economy/Gross national expenditure (current US$)", + "World/Europe/AUT/Economy/Gross national expenditure (current US$)", + "World/Persian 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"World/South Africa/GHA/Economy/Gross national expenditure (current US$)", + "World/Europe/GRC/Economy/Gross national expenditure (current US$)", + "World/Europe/HRV/Economy/Gross national expenditure (current US$)", + "World/Asia/IDN/Economy/Gross national expenditure (current US$)", + "World/Asia/IND/Economy/Gross national expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/Gross national expenditure (current US$)", + "World/North Africa/ISR/Economy/Gross national expenditure (current US$)", + "World/Asia/KOR/Economy/Gross national expenditure (current US$)", + "World/North Africa/MAR/Economy/Gross national expenditure (current US$)", + "World/Latam/MEX/Economy/Gross national expenditure (current US$)", + "World/South Africa/MOZ/Economy/Gross national expenditure (current US$)", + "World/South Africa/NGA/Economy/Gross national expenditure (current US$)", + "World/Europe/NLD/Economy/Gross national expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Gross national 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Africa/MOZ/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/NGA/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/NLD/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Persian Gulf/OMN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Latam/PAN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Latam/PER/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/POL/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Persian Gulf/SAU/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/SEN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/SWE/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/North Africa/TUR/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Pair/USA/Economy/Gross value added at basic 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"World/Latam/MEX/Health/Hospital beds (per 1,000 people)", + "World/South Africa/MOZ/Health/Hospital beds (per 1,000 people)", + "World/South Africa/NGA/Health/Hospital beds (per 1,000 people)", + "World/Europe/NLD/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/OMN/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/SAU/Health/Hospital beds (per 1,000 people)", + "World/North Africa/TUR/Health/Hospital beds (per 1,000 people)", + "World/Pair/USA/Health/Hospital beds (per 1,000 people)", + "World/South Africa/ZAF/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/ARE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + 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"World/Asia/KOR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/PER/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/POL/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/THA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Pair/USA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/AUT/Exports/ICT service exports (BoP, current US$)", + "World/Asia/BGD/Exports/ICT service exports (BoP, current US$)", + "World/Latam/CHL/Exports/ICT service exports (BoP, current US$)", + "World/Pair/CHN/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/CMR/Exports/ICT service exports (BoP, current US$)", + "World/Latam/CRI/Exports/ICT service exports (BoP, current US$)", + "World/Europe/DEU/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/DZA/Exports/ICT service exports (BoP, current US$)", + "World/Europe/ESP/Exports/ICT service exports (BoP, current US$)", + "World/Europe/GBR/Exports/ICT service exports (BoP, current US$)", + "World/Europe/GRC/Exports/ICT service exports (BoP, current US$)", + "World/Europe/HRV/Exports/ICT service exports (BoP, current US$)", + "World/Asia/IND/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/ISR/Exports/ICT service exports (BoP, current US$)", + "World/Asia/KOR/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/MAR/Exports/ICT service exports (BoP, current US$)", + "World/Latam/MEX/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/NGA/Exports/ICT service exports (BoP, current US$)", + "World/Europe/NLD/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/ICT service exports (BoP, current US$)", + "World/Latam/PAN/Exports/ICT service exports (BoP, current US$)", + "World/Europe/POL/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/QAT/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/ICT service exports (BoP, current US$)", + "World/Europe/SWE/Exports/ICT service exports (BoP, current US$)", + "World/Asia/THA/Exports/ICT service exports (BoP, current US$)", + "World/Pair/USA/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/ZAF/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/ARE/Imports/Import unit value index (2000 = 100)", + "World/Europe/AUT/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import unit value index (2000 = 100)", + "World/Asia/BGD/Imports/Import unit value index (2000 = 100)", + "World/Latam/CRI/Imports/Import unit value index (2000 = 100)", + "World/Europe/DEU/Imports/Import unit value index (2000 = 100)", + "World/North Africa/EGY/Imports/Import unit value index (2000 = 100)", + "World/Europe/ESP/Imports/Import unit value index (2000 = 100)", + "World/Europe/FRA/Imports/Import unit value index (2000 = 100)", + "World/Europe/GRC/Imports/Import unit value index (2000 = 100)", + "World/Europe/HRV/Imports/Import unit value index (2000 = 100)", + "World/Latam/MEX/Imports/Import unit value index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import unit value index (2000 = 100)", + "World/Europe/NLD/Imports/Import unit value index (2000 = 100)", + "World/Latam/PAN/Imports/Import unit value index (2000 = 100)", + "World/Europe/POL/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import unit value index (2000 = 100)", + "World/Europe/SWE/Imports/Import unit value index (2000 = 100)", + "World/Asia/THA/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/ARE/Imports/Import value index (2000 = 100)", + "World/Latam/ARG/Imports/Import value index (2000 = 100)", + "World/Europe/AUT/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import value index (2000 = 100)", + "World/Asia/BGD/Imports/Import value index (2000 = 100)", + "World/Latam/BRA/Imports/Import value index (2000 = 100)", + "World/Latam/CHL/Imports/Import value index (2000 = 100)", + "World/Pair/CHN/Imports/Import value index (2000 = 100)", + "World/Latam/COL/Imports/Import value index (2000 = 100)", + "World/Latam/CRI/Imports/Import value index (2000 = 100)", + "World/Europe/DEU/Imports/Import value index (2000 = 100)", + "World/North Africa/DZA/Imports/Import value index (2000 = 100)", + "World/North Africa/EGY/Imports/Import value index (2000 = 100)", + "World/Europe/ESP/Imports/Import value index (2000 = 100)", + "World/Europe/FRA/Imports/Import value index (2000 = 100)", + "World/Europe/GBR/Imports/Import value index (2000 = 100)", + "World/Europe/GRC/Imports/Import value index (2000 = 100)", + "World/Europe/HRV/Imports/Import value index (2000 = 100)", + "World/Asia/IDN/Imports/Import value index (2000 = 100)", + "World/Asia/IND/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/IRQ/Imports/Import value index (2000 = 100)", + "World/North Africa/ISR/Imports/Import value index (2000 = 100)", + "World/Asia/KOR/Imports/Import value index (2000 = 100)", + "World/North Africa/MAR/Imports/Import value index (2000 = 100)", + "World/Latam/MEX/Imports/Import value index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import value index (2000 = 100)", + "World/South Africa/NGA/Imports/Import value index (2000 = 100)", + "World/Europe/NLD/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/OMN/Imports/Import value index (2000 = 100)", + "World/Latam/PAN/Imports/Import value index (2000 = 100)", + "World/Latam/PER/Imports/Import value index (2000 = 100)", + "World/Asia/PHL/Imports/Import value index (2000 = 100)", + "World/Europe/POL/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/SAU/Imports/Import value index (2000 = 100)", + "World/South Africa/SEN/Imports/Import value index (2000 = 100)", + "World/Europe/SWE/Imports/Import value index (2000 = 100)", + "World/Asia/THA/Imports/Import value index (2000 = 100)", + "World/North Africa/TUR/Imports/Import value index (2000 = 100)", + "World/Pair/USA/Imports/Import value index (2000 = 100)", + "World/Asia/VNM/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/YEM/Imports/Import value index (2000 = 100)", + "World/South Africa/ZAF/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/ARE/Imports/Import volume index (2000 = 100)", + "World/Latam/ARG/Imports/Import volume index (2000 = 100)", + "World/Europe/AUT/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import volume index (2000 = 100)", + "World/Asia/BGD/Imports/Import volume index (2000 = 100)", + "World/Latam/BRA/Imports/Import volume index (2000 = 100)", + "World/Latam/CHL/Imports/Import volume index (2000 = 100)", + "World/Pair/CHN/Imports/Import volume index (2000 = 100)", + "World/Latam/COL/Imports/Import volume index (2000 = 100)", + "World/Latam/CRI/Imports/Import volume index (2000 = 100)", + "World/Europe/DEU/Imports/Import volume index (2000 = 100)", + "World/North Africa/DZA/Imports/Import volume index (2000 = 100)", + "World/North Africa/EGY/Imports/Import volume index (2000 = 100)", + "World/Europe/GBR/Imports/Import volume index (2000 = 100)", + "World/Asia/IDN/Imports/Import volume index (2000 = 100)", + "World/Asia/IND/Imports/Import volume index (2000 = 100)", + "World/North Africa/ISR/Imports/Import volume index (2000 = 100)", + "World/Asia/KOR/Imports/Import volume index (2000 = 100)", + "World/North Africa/MAR/Imports/Import volume index (2000 = 100)", + "World/Latam/MEX/Imports/Import volume index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import volume index (2000 = 100)", + "World/South Africa/NGA/Imports/Import volume index (2000 = 100)", + "World/Europe/NLD/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/OMN/Imports/Import volume index (2000 = 100)", + "World/Latam/PAN/Imports/Import volume index (2000 = 100)", + "World/Latam/PER/Imports/Import volume index (2000 = 100)", + "World/Asia/PHL/Imports/Import volume index (2000 = 100)", + "World/Europe/POL/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/SAU/Imports/Import volume index (2000 = 100)", + "World/South Africa/SEN/Imports/Import volume index (2000 = 100)", + "World/Asia/THA/Imports/Import volume index (2000 = 100)", + "World/North Africa/TUR/Imports/Import volume index (2000 = 100)", + "World/Pair/USA/Imports/Import volume index (2000 = 100)", + "World/Latam/VEN/Imports/Import volume index (2000 = 100)", + "World/Asia/VNM/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/YEM/Imports/Import volume index (2000 = 100)", + "World/South Africa/ZAF/Imports/Import volume index (2000 = 100)", + "World/Latam/ARG/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/AUT/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/AZE/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/BGD/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/BRA/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/CHL/Imports/Imports of goods and services (BoP, current US$)", + "World/Pair/CHN/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/CMR/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/COL/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/CRI/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/DEU/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/DZA/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/EGY/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/ESP/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/FRA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/GBR/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/GHA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/GRC/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/HRV/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/IDN/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/IND/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/ISR/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/KOR/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/MAR/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/MEX/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/MOZ/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/NGA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/NLD/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/PAN/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/PER/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/PHL/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/POL/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/SAU/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/SEN/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/SWE/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/THA/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/TUR/Imports/Imports of goods and services (BoP, current US$)", + "World/Pair/USA/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/VNM/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/YEM/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/ZAF/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/ARE/Imports/Imports of goods and services (current US$)", + "World/Latam/ARG/Imports/Imports of goods and services (current US$)", + "World/Europe/AUT/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/AZE/Imports/Imports of goods and services (current US$)", + "World/Asia/BGD/Imports/Imports of goods and services (current US$)", + "World/Latam/BRA/Imports/Imports of goods and services (current US$)", + "World/Latam/CHL/Imports/Imports of goods and services (current US$)", + "World/Pair/CHN/Imports/Imports of goods and services (current US$)", + "World/Latam/COL/Imports/Imports of goods and services (current US$)", + "World/Latam/CRI/Imports/Imports of goods and services (current US$)", + "World/Europe/DEU/Imports/Imports of goods and services (current US$)", + "World/North Africa/DZA/Imports/Imports of goods and services (current US$)", + "World/North Africa/EGY/Imports/Imports of goods and services (current US$)", + "World/Europe/ESP/Imports/Imports of goods and services (current US$)", + "World/Europe/FRA/Imports/Imports of goods and services (current US$)", + "World/Europe/GBR/Imports/Imports of goods and services (current US$)", + "World/South Africa/GHA/Imports/Imports of goods and services (current US$)", + "World/Europe/GRC/Imports/Imports of goods and services (current US$)", + "World/Europe/HRV/Imports/Imports of goods and services (current US$)", + "World/Asia/IDN/Imports/Imports of goods and services (current US$)", + "World/Asia/IND/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/IRQ/Imports/Imports of goods and services (current US$)", + "World/North Africa/ISR/Imports/Imports of goods and services (current US$)", + "World/Asia/KOR/Imports/Imports of goods and services (current US$)", + "World/North Africa/MAR/Imports/Imports of goods and services (current US$)", + "World/Latam/MEX/Imports/Imports of goods and services (current US$)", + "World/South Africa/MOZ/Imports/Imports of goods and services (current US$)", + "World/South Africa/NGA/Imports/Imports of goods and services (current US$)", + "World/Europe/NLD/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/OMN/Imports/Imports of goods and services (current US$)", + "World/Latam/PAN/Imports/Imports of goods and services (current US$)", + "World/Latam/PER/Imports/Imports of goods and services (current US$)", + "World/Asia/PHL/Imports/Imports of goods and services (current US$)", + "World/Europe/POL/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/QAT/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/SAU/Imports/Imports of goods and services (current US$)", + "World/South Africa/SEN/Imports/Imports of goods and services (current US$)", + "World/Europe/SWE/Imports/Imports of goods and services (current US$)", + "World/Asia/THA/Imports/Imports of goods and services (current US$)", + "World/North Africa/TUR/Imports/Imports of goods and services (current US$)", + "World/Pair/USA/Imports/Imports of goods and services (current US$)", + "World/Latam/VEN/Imports/Imports of goods and services (current US$)", + "World/Asia/VNM/Imports/Imports of goods and services (current US$)", + "World/South Africa/ZAF/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/ARE/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/AUT/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/AZE/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/BRA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Pair/CHN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/CMR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/CRI/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/EGY/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/ESP/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/GBR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/GHA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/HRV/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/IDN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/IND/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/IRQ/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/ISR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/LBR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/MOZ/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/OMN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/PER/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/POL/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/QAT/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/SAU/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/SEN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/THA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/TUR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Pair/USA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/VNM/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/YEM/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/ARE/Economy/Industry (including construction), value added (current US$)", + "World/Latam/ARG/Economy/Industry (including construction), value added (current US$)", + "World/Europe/AUT/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/AZE/Economy/Industry (including construction), value added (current US$)", + "World/Asia/BGD/Economy/Industry (including construction), value added (current US$)", + "World/Latam/BRA/Economy/Industry (including construction), value added (current US$)", + "World/Latam/CHL/Economy/Industry (including construction), value added (current US$)", + "World/Pair/CHN/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/CMR/Economy/Industry (including construction), value added (current US$)", + "World/Latam/COL/Economy/Industry (including construction), value added (current US$)", + "World/Latam/CRI/Economy/Industry (including construction), value added (current US$)", + "World/Europe/DEU/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/DZA/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/EGY/Economy/Industry (including construction), value added (current US$)", + "World/Europe/ESP/Economy/Industry (including construction), value added (current US$)", + "World/Europe/FRA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/GBR/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/GHA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/GRC/Economy/Industry (including construction), value added (current US$)", + "World/Europe/HRV/Economy/Industry (including construction), value added (current US$)", + "World/Asia/IDN/Economy/Industry (including construction), value added (current US$)", + "World/Asia/IND/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/IRQ/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/ISR/Economy/Industry (including construction), value added (current US$)", + "World/Asia/KOR/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/LBR/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/MAR/Economy/Industry (including construction), value added (current US$)", + "World/Latam/MEX/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/MOZ/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/NGA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/NLD/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/OMN/Economy/Industry (including construction), value added (current US$)", + "World/Latam/PAN/Economy/Industry (including construction), value added (current US$)", + "World/Latam/PER/Economy/Industry (including construction), value added (current US$)", + "World/Asia/PHL/Economy/Industry (including construction), value added (current US$)", + "World/Europe/POL/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/SAU/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/SEN/Economy/Industry (including construction), value added (current US$)", + "World/Europe/SWE/Economy/Industry (including construction), value added (current US$)", + "World/Asia/THA/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/TUR/Economy/Industry (including construction), value added (current US$)", + "World/Pair/USA/Economy/Industry (including construction), value added (current US$)", + "World/Latam/VEN/Economy/Industry (including construction), value added (current US$)", + "World/Asia/VNM/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/YEM/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/ZAF/Economy/Industry (including construction), value added (current US$)", + "World/Latam/BRA/Mortality/Intentional homicides (per 100,000 people)", + "World/Pair/CHN/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/COL/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/CRI/Mortality/Intentional homicides (per 100,000 people)", + "World/North Africa/EGY/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/ESP/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/GBR/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/IDN/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/IND/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/IRQ/Mortality/Intentional homicides (per 100,000 people)", + "World/North Africa/ISR/Mortality/Intentional homicides (per 100,000 people)", + "World/South Africa/MOZ/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/NLD/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/PAN/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/PER/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/POL/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/THA/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/VNM/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/YEM/Mortality/Intentional homicides (per 100,000 people)", + "World/South Africa/ZAF/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/ARE/Migration/International migrant stock (% of population)", + "World/Europe/AUT/Migration/International migrant stock (% of population)", + "World/Persian Gulf/AZE/Migration/International migrant stock (% of population)", + "World/Latam/CHL/Migration/International migrant stock (% of population)", + "World/Pair/CHN/Migration/International migrant stock (% of population)", + "World/Europe/DEU/Migration/International migrant stock (% of population)", + "World/North Africa/DZA/Migration/International migrant stock (% of population)", + "World/Europe/ESP/Migration/International migrant stock (% of population)", + "World/Europe/FRA/Migration/International migrant stock (% of population)", + "World/Europe/GBR/Migration/International migrant stock (% of population)", + "World/Europe/GRC/Migration/International migrant stock (% of population)", + "World/Europe/HRV/Migration/International migrant stock (% of population)", + "World/Asia/IND/Migration/International migrant stock (% of population)", + "World/North Africa/ISR/Migration/International migrant stock (% of population)", + "World/Asia/KOR/Migration/International migrant stock (% of population)", + "World/North Africa/MAR/Migration/International migrant stock (% of population)", + "World/Latam/MEX/Migration/International migrant stock (% of population)", + "World/South Africa/MOZ/Migration/International migrant stock (% of population)", + "World/South Africa/NGA/Migration/International migrant stock (% of population)", + "World/Europe/NLD/Migration/International migrant stock (% of population)", + "World/Latam/PAN/Migration/International migrant stock (% of population)", + "World/Latam/PER/Migration/International migrant stock (% of population)", + "World/Europe/POL/Migration/International migrant stock (% of population)", + "World/Persian Gulf/SAU/Migration/International migrant stock (% of population)", + "World/South Africa/SEN/Migration/International migrant stock (% of population)", + "World/Europe/SWE/Migration/International migrant stock (% of population)", + "World/Asia/THA/Migration/International migrant stock (% of population)", + "World/North Africa/TUR/Migration/International migrant stock (% of population)", + "World/Pair/USA/Migration/International migrant stock (% of population)", + "World/Asia/VNM/Migration/International migrant stock (% of population)", + "World/Persian Gulf/YEM/Migration/International migrant stock (% of population)", + "World/Persian Gulf/ARE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/AUT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/AZE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/BRA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/CHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Pair/CHN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/COL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/CRI/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/DEU/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/DZA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/EGY/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/GHA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/GRC/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/IDN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/IND/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/IRQ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/ISR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/KOR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/LBR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/MEX/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/MOZ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/NGA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/NLD/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/OMN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/PAN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/PER/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/PHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/POL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/QAT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/SWE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/TUR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Pair/USA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/VEN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/VNM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/YEM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/ZAF/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/ARE/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/ARG/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/AZE/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/BGD/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/CHL/Mortality/Lifetime risk of maternal death (%)", + "World/Pair/CHN/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/CMR/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/COL/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/CRI/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/EGY/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/ESP/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/GBR/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/GHA/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/GRC/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/HRV/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/IDN/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/IND/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/ISR/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/KOR/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/LBR/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/MAR/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/MEX/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/MOZ/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/NGA/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/NLD/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/PAN/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/PER/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/PHL/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/POL/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/QAT/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/SAU/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/SEN/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/THA/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/TUR/Mortality/Lifetime risk of maternal death (%)", + "World/Pair/USA/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/VNM/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/YEM/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/ARE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/ARG/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/AZE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/BGD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/CHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Pair/CHN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/CMR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/COL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/CRI/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/EGY/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/ESP/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/GBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/GHA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/GRC/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/HRV/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/IDN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/IND/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/ISR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/KOR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/LBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/MAR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/MEX/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/MOZ/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/NGA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/NLD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/PAN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/PER/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/PHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/POL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/QAT/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/SAU/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/SEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/THA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/TUR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Pair/USA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/VEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/VNM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/YEM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/ARE/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/ARG/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/AUT/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/AZE/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/BGD/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/BRA/Industry/Livestock production index (2014-2016 = 100)", + "World/Pair/CHN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/COL/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/CRI/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/DZA/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/EGY/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/GBR/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/GHA/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/IDN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/IND/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/ISR/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/KOR/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/LBR/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/MAR/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/MEX/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/MOZ/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/NGA/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/NLD/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/PAN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/PER/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/PHL/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/POL/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/SAU/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/SEN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/THA/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/TUR/Industry/Livestock production index (2014-2016 = 100)", + "World/Pair/USA/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/VEN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/VNM/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/ZAF/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/ARE/Health/Low-birthweight babies (% of births)", + "World/Asia/BGD/Health/Low-birthweight babies (% of births)", + "World/Latam/BRA/Health/Low-birthweight babies (% of births)", + "World/Latam/CHL/Health/Low-birthweight babies (% of births)", + "World/Pair/CHN/Health/Low-birthweight babies (% of births)", + "World/South Africa/CMR/Health/Low-birthweight babies (% of births)", + "World/Latam/COL/Health/Low-birthweight babies (% of births)", + "World/Latam/CRI/Health/Low-birthweight babies (% of births)", + "World/North Africa/DZA/Health/Low-birthweight babies (% of births)", + "World/Europe/ESP/Health/Low-birthweight babies (% of births)", + "World/Europe/FRA/Health/Low-birthweight babies (% of births)", + "World/Europe/GBR/Health/Low-birthweight babies (% of births)", + "World/South Africa/GHA/Health/Low-birthweight babies (% of births)", + "World/Europe/HRV/Health/Low-birthweight babies (% of births)", + "World/Asia/IDN/Health/Low-birthweight babies (% of births)", + "World/North Africa/ISR/Health/Low-birthweight babies (% of births)", + "World/Asia/KOR/Health/Low-birthweight babies (% of births)", + "World/North Africa/MAR/Health/Low-birthweight babies (% of births)", + "World/Latam/MEX/Health/Low-birthweight babies (% of births)", + "World/South Africa/MOZ/Health/Low-birthweight babies (% of births)", + "World/Europe/NLD/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/OMN/Health/Low-birthweight babies (% of births)", + "World/Latam/PAN/Health/Low-birthweight babies (% of births)", + "World/Latam/PER/Health/Low-birthweight babies (% of births)", + "World/Asia/PHL/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/QAT/Health/Low-birthweight babies (% of births)", + "World/South Africa/SEN/Health/Low-birthweight babies (% of births)", + "World/Asia/THA/Health/Low-birthweight babies (% of births)", + "World/North Africa/TUR/Health/Low-birthweight babies (% of births)", + "World/Asia/VNM/Health/Low-birthweight babies (% of births)", + "World/South Africa/ZAF/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/ARE/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/BGD/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/CHL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Pair/CHN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/COL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/South Africa/GHA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Europe/HRV/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/IDN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/IND/Economy/Market capitalization of listed domestic companies (current US$)", + "World/North Africa/ISR/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/KOR/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/MEX/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/OMN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/PAN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Europe/POL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/QAT/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/SAU/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/THA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Pair/USA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/VNM/Economy/Market capitalization of listed domestic companies (current US$)", + "World/South Africa/ZAF/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/ARE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/ARG/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/AZE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/BGD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/CHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Pair/CHN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/CMR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/CRI/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/DZA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/EGY/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/ESP/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/GBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/GHA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/HRV/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/IDN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/IND/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/ISR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/KOR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/LBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/MAR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/MEX/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/MOZ/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/NGA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/NLD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/PAN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/PER/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/PHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/POL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/QAT/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/SAU/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/SEN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/THA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/TUR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Pair/USA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/VNM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/YEM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/ARE/Exports/Merchandise exports (current US$)", + "World/Europe/AUT/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/AZE/Exports/Merchandise exports (current US$)", + "World/Asia/BGD/Exports/Merchandise exports (current US$)", + "World/Latam/BRA/Exports/Merchandise exports (current US$)", + "World/Latam/CHL/Exports/Merchandise exports (current US$)", + "World/Pair/CHN/Exports/Merchandise exports (current US$)", + "World/Latam/COL/Exports/Merchandise exports (current US$)", + "World/Latam/CRI/Exports/Merchandise exports (current US$)", + "World/Europe/DEU/Exports/Merchandise exports (current US$)", + "World/North Africa/EGY/Exports/Merchandise exports (current US$)", + "World/Europe/ESP/Exports/Merchandise exports (current US$)", + "World/Europe/FRA/Exports/Merchandise exports (current US$)", + "World/Europe/GBR/Exports/Merchandise exports (current US$)", + "World/South Africa/GHA/Exports/Merchandise exports (current US$)", + "World/Asia/IDN/Exports/Merchandise exports (current US$)", + "World/Asia/IND/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports (current US$)", + "World/North Africa/ISR/Exports/Merchandise exports (current US$)", + "World/Asia/KOR/Exports/Merchandise exports (current US$)", + "World/North Africa/MAR/Exports/Merchandise exports (current US$)", + "World/Latam/MEX/Exports/Merchandise exports (current US$)", + "World/South Africa/MOZ/Exports/Merchandise exports (current US$)", + "World/Europe/NLD/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/OMN/Exports/Merchandise exports (current US$)", + "World/Latam/PAN/Exports/Merchandise exports (current US$)", + "World/Latam/PER/Exports/Merchandise exports (current US$)", + "World/Asia/PHL/Exports/Merchandise exports (current US$)", + "World/Europe/POL/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/QAT/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/SAU/Exports/Merchandise exports (current US$)", + "World/South Africa/SEN/Exports/Merchandise exports (current US$)", + "World/Europe/SWE/Exports/Merchandise exports (current US$)", + "World/Asia/THA/Exports/Merchandise exports (current US$)", + "World/North Africa/TUR/Exports/Merchandise exports (current US$)", + "World/Pair/USA/Exports/Merchandise exports (current US$)", + "World/Latam/VEN/Exports/Merchandise exports (current US$)", + "World/Asia/VNM/Exports/Merchandise exports (current US$)", + "World/South Africa/ZAF/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/ARE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/AUT/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/AZE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/BGD/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/BRA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/CHL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Pair/CHN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/COL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/CRI/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/DEU/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/DZA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/EGY/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/ESP/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/FRA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/GBR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/GHA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/IDN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/IND/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/KOR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/MAR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/MEX/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/MOZ/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/NGA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/NLD/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/OMN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/PER/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/PHL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/POL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/QAT/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/SEN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/SWE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/THA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/TUR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Pair/USA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/VEN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/VNM/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/ZAF/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/AZE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/BGD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/GBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/LBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/MOZ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/NGA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/NLD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/PAN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/PER/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/PHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/POL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/QAT/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/SWE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/THA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Pair/USA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/VEN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/ZAF/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/AUT/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/BRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/FRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/IND/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/MOZ/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/NGA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/NLD/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/OMN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/PAN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/PER/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/PHL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/QAT/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/SAU/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Pair/USA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/ZAF/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/ARE/Imports/Merchandise imports (current US$)", + "World/Latam/ARG/Imports/Merchandise imports (current US$)", + "World/Europe/AUT/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/AZE/Imports/Merchandise imports (current US$)", + "World/Asia/BGD/Imports/Merchandise imports (current US$)", + "World/Latam/BRA/Imports/Merchandise imports (current US$)", + "World/Latam/CHL/Imports/Merchandise imports (current US$)", + "World/Pair/CHN/Imports/Merchandise imports (current US$)", + "World/Latam/COL/Imports/Merchandise imports (current US$)", + "World/Latam/CRI/Imports/Merchandise imports (current US$)", + "World/Europe/DEU/Imports/Merchandise imports (current US$)", + "World/North Africa/DZA/Imports/Merchandise imports (current US$)", + "World/North Africa/EGY/Imports/Merchandise imports (current US$)", + "World/Europe/ESP/Imports/Merchandise imports (current US$)", + "World/Europe/FRA/Imports/Merchandise imports (current US$)", + "World/Europe/GBR/Imports/Merchandise imports (current US$)", + "World/Europe/GRC/Imports/Merchandise imports (current US$)", + "World/Europe/HRV/Imports/Merchandise imports (current US$)", + "World/Asia/IDN/Imports/Merchandise imports (current US$)", + "World/Asia/IND/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/IRQ/Imports/Merchandise imports (current US$)", + "World/North Africa/ISR/Imports/Merchandise imports (current US$)", + "World/Asia/KOR/Imports/Merchandise imports (current US$)", + "World/North Africa/MAR/Imports/Merchandise imports (current US$)", + "World/Latam/MEX/Imports/Merchandise imports (current US$)", + "World/South Africa/MOZ/Imports/Merchandise imports (current US$)", + "World/South Africa/NGA/Imports/Merchandise imports (current US$)", + "World/Europe/NLD/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/OMN/Imports/Merchandise imports (current US$)", + "World/Latam/PAN/Imports/Merchandise imports (current US$)", + "World/Latam/PER/Imports/Merchandise imports (current US$)", + "World/Asia/PHL/Imports/Merchandise imports (current US$)", + "World/Europe/POL/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/QAT/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/SAU/Imports/Merchandise imports (current US$)", + "World/South Africa/SEN/Imports/Merchandise imports (current US$)", + "World/Europe/SWE/Imports/Merchandise imports (current US$)", + "World/Asia/THA/Imports/Merchandise imports (current US$)", + "World/North Africa/TUR/Imports/Merchandise imports (current US$)", + "World/Pair/USA/Imports/Merchandise imports (current US$)", + "World/Asia/VNM/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/YEM/Imports/Merchandise imports (current US$)", + "World/South Africa/ZAF/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/ARE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/ARG/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/AUT/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/AZE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/BGD/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/BRA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/CHL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Pair/CHN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/CMR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/COL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/CRI/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/DEU/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/DZA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/EGY/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/ESP/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/FRA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/GBR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/GHA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/GRC/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/HRV/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/IDN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/IND/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/IRQ/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/ISR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/KOR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/MAR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/MEX/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/MOZ/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/NGA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/NLD/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/OMN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/PAN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/PER/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/PHL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/POL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/QAT/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/SAU/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/SEN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/SWE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/THA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/TUR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Pair/USA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/VNM/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/ZAF/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/BGD/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/IDN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/South Africa/NGA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/OMN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/PHL/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/THA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/VNM/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/YEM/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/CHL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/DEU/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/FRA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/IDN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/MOZ/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/NGA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/NLD/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/PAN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/PHL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/SWE/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/THA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/VNM/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/ARG/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/CHL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/South Africa/LBR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/PAN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/SWE/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/South Africa/ZAF/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/FRA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/MOZ/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/NLD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/OMN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/SEN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/YEM/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/ARE/Environment/Methane emissions (% change from 1990)", + "World/Europe/AUT/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/AZE/Environment/Methane emissions (% change from 1990)", + "World/Asia/BGD/Environment/Methane emissions (% change from 1990)", + "World/Latam/CHL/Environment/Methane emissions (% change from 1990)", + "World/Pair/CHN/Environment/Methane emissions (% change from 1990)", + "World/Latam/COL/Environment/Methane emissions (% change from 1990)", + "World/Europe/DEU/Environment/Methane emissions (% change from 1990)", + "World/North Africa/DZA/Environment/Methane emissions (% change from 1990)", + "World/North Africa/EGY/Environment/Methane emissions (% change from 1990)", + "World/Europe/ESP/Environment/Methane emissions (% change from 1990)", + "World/Europe/FRA/Environment/Methane emissions (% change from 1990)", + "World/Europe/GBR/Environment/Methane emissions (% change from 1990)", + "World/South Africa/GHA/Environment/Methane emissions (% change from 1990)", + "World/Asia/IND/Environment/Methane emissions (% change from 1990)", + "World/Asia/KOR/Environment/Methane emissions (% change from 1990)", + "World/North Africa/MAR/Environment/Methane emissions (% change from 1990)", + "World/Latam/MEX/Environment/Methane emissions (% change from 1990)", + "World/Europe/NLD/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Methane emissions (% change from 1990)", + "World/Latam/PAN/Environment/Methane emissions (% change from 1990)", + "World/Latam/PER/Environment/Methane emissions (% change from 1990)", + "World/Asia/PHL/Environment/Methane emissions (% change from 1990)", + "World/Europe/POL/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/SAU/Environment/Methane emissions (% change from 1990)", + "World/North Africa/TUR/Environment/Methane emissions (% change from 1990)", + "World/Pair/USA/Environment/Methane emissions (% change from 1990)", + "World/Asia/VNM/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/ARG/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/AUT/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/BGD/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/BRA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Pair/CHN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/CMR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/COL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/CRI/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/DEU/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/DZA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/EGY/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/FRA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/GBR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/GHA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/IND/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/ISR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/LBR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/MAR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/MEX/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/NGA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/NLD/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/PAN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/PER/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/PHL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/POL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/SAU/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/SEN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/TUR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Pair/USA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/VNM/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/ARE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/AUT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/CMR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/COL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/DEU/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/EGY/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GRC/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/IRQ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/KOR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/PAN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/POL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/SEN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/THA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Pair/USA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Military/Military expenditure (current USD)", + "World/Europe/AUT/Military/Military expenditure (current USD)", + "World/Persian Gulf/AZE/Military/Military expenditure (current USD)", + "World/Asia/BGD/Military/Military expenditure (current USD)", + "World/Latam/BRA/Military/Military expenditure (current USD)", + "World/Latam/CHL/Military/Military expenditure (current USD)", + "World/Pair/CHN/Military/Military expenditure (current USD)", + "World/South Africa/CMR/Military/Military expenditure (current USD)", + "World/Latam/COL/Military/Military expenditure (current USD)", + "World/North Africa/DZA/Military/Military expenditure (current USD)", + "World/North Africa/EGY/Military/Military expenditure (current USD)", + "World/Europe/ESP/Military/Military expenditure (current USD)", + "World/Europe/FRA/Military/Military expenditure (current USD)", + "World/South Africa/GHA/Military/Military expenditure (current USD)", + "World/Europe/GRC/Military/Military expenditure (current USD)", + "World/Asia/IDN/Military/Military expenditure (current USD)", + "World/Asia/IND/Military/Military expenditure (current USD)", + "World/North Africa/ISR/Military/Military expenditure (current USD)", + "World/Asia/KOR/Military/Military expenditure (current USD)", + "World/North Africa/MAR/Military/Military expenditure (current USD)", + "World/Latam/MEX/Military/Military expenditure (current USD)", + "World/South Africa/MOZ/Military/Military expenditure (current USD)", + "World/South Africa/NGA/Military/Military expenditure (current USD)", + "World/Europe/NLD/Military/Military expenditure (current USD)", + "World/Persian Gulf/OMN/Military/Military expenditure (current USD)", + "World/Latam/PER/Military/Military expenditure (current USD)", + "World/Asia/PHL/Military/Military expenditure (current USD)", + "World/Europe/POL/Military/Military expenditure (current USD)", + "World/Persian Gulf/SAU/Military/Military expenditure (current USD)", + "World/South Africa/SEN/Military/Military expenditure (current USD)", + "World/Asia/THA/Military/Military expenditure (current USD)", + "World/North Africa/TUR/Military/Military expenditure (current USD)", + "World/Pair/USA/Military/Military expenditure (current USD)", + "World/Asia/VNM/Military/Military expenditure (current USD)", + "World/Persian Gulf/YEM/Military/Military expenditure (current USD)", + "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions", + "World/Latam/BRA/Internet/Mobile cellular subscriptions", + "World/Latam/CHL/Internet/Mobile cellular subscriptions", + "World/Pair/CHN/Internet/Mobile cellular subscriptions", + "World/Europe/DEU/Internet/Mobile cellular subscriptions", + "World/North Africa/DZA/Internet/Mobile cellular subscriptions", + "World/North Africa/EGY/Internet/Mobile cellular subscriptions", + "World/Europe/FRA/Internet/Mobile cellular subscriptions", + "World/Europe/GBR/Internet/Mobile cellular subscriptions", + "World/Europe/HRV/Internet/Mobile cellular subscriptions", + "World/Asia/IDN/Internet/Mobile cellular subscriptions", + "World/North Africa/ISR/Internet/Mobile cellular subscriptions", + "World/Asia/KOR/Internet/Mobile cellular subscriptions", + "World/North Africa/MAR/Internet/Mobile cellular subscriptions", + "World/Latam/MEX/Internet/Mobile cellular subscriptions", + "World/Europe/NLD/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions", + "World/Latam/PER/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions", + "World/Europe/SWE/Internet/Mobile cellular subscriptions", + "World/Asia/THA/Internet/Mobile cellular subscriptions", + "World/North Africa/TUR/Internet/Mobile cellular subscriptions", + "World/Pair/USA/Internet/Mobile cellular subscriptions", + "World/South Africa/ZAF/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/BRA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/CHL/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Pair/CHN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/DEU/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/DZA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/EGY/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/FRA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/HRV/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/IDN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/ISR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/KOR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/MAR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/MEX/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/NLD/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/PER/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/SWE/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/THA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/TUR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Pair/USA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/VEN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/South Africa/ZAF/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/ARE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/AZE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/BGD/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/CHL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Pair/CHN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/CMR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/COL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/CRI/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/DEU/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/DZA/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/EGY/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/FRA/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/GRC/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/HRV/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/IND/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/KOR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/LBR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/MAR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/MEX/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/OMN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/PAN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/PER/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/POL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/QAT/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/SAU/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/SEN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/SWE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/TUR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/VEN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/VNM/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/AUT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/AZE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/BGD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Pair/CHN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/CMR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/DEU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/DZA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/ESP/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/GBR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/GRC/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/HRV/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/IDN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/ISR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/KOR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/MAR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Latam/MEX/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/MOZ/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/NGA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/NLD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/OMN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/PHL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/POL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/QAT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/SAU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/SWE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/THA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/TUR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Latam/VEN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/VNM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/YEM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/ARE/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/AUT/Economy/Net barter terms of trade index (2000 = 100)", + "World/Latam/BRA/Economy/Net barter terms of trade index (2000 = 100)", + "World/Latam/COL/Economy/Net barter terms of trade index (2000 = 100)", + "World/North Africa/DZA/Economy/Net barter terms of trade index (2000 = 100)", + "World/North Africa/EGY/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/ESP/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/GHA/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/KOR/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/LBR/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/NLD/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/SWE/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/VNM/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/ZAF/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/BGD/Economy/Net primary income (BoP, current US$)", + "World/Latam/BRA/Economy/Net primary income (BoP, current US$)", + "World/Latam/COL/Economy/Net primary income (BoP, current US$)", + "World/Latam/CRI/Economy/Net primary income (BoP, current US$)", + "World/North Africa/EGY/Economy/Net primary income (BoP, current US$)", + "World/Europe/FRA/Economy/Net primary income (BoP, current US$)", + "World/South Africa/GHA/Economy/Net primary income (BoP, current US$)", + "World/Asia/IDN/Economy/Net primary income (BoP, current US$)", + "World/Asia/IND/Economy/Net primary income (BoP, current US$)", + "World/Asia/KOR/Economy/Net primary income (BoP, current US$)", + "World/Latam/MEX/Economy/Net primary income (BoP, current US$)", + "World/Persian Gulf/OMN/Economy/Net primary income (BoP, current US$)", + "World/Latam/PAN/Economy/Net primary income (BoP, current US$)", + "World/Europe/POL/Economy/Net primary income (BoP, current US$)", + "World/Persian Gulf/QAT/Economy/Net primary income (BoP, current US$)", + "World/Asia/THA/Economy/Net primary income (BoP, current US$)", + "World/North 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"World/Latam/MEX/Economy/Net secondary income (BoP, current US$)", + "World/South Africa/NGA/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/OMN/Economy/Net secondary income (BoP, current US$)", + "World/Latam/PER/Economy/Net secondary income (BoP, current US$)", + "World/Asia/PHL/Economy/Net secondary income (BoP, current US$)", + "World/Europe/POL/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/SAU/Economy/Net secondary income (BoP, current US$)", + "World/South Africa/SEN/Economy/Net secondary income (BoP, current US$)", + "World/Europe/SWE/Economy/Net secondary income (BoP, current US$)", + "World/Asia/THA/Economy/Net secondary income (BoP, current US$)", + "World/Pair/USA/Economy/Net secondary income (BoP, current US$)", + "World/Latam/VEN/Economy/Net secondary income (BoP, current US$)", + "World/Asia/VNM/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/YEM/Economy/Net secondary income (BoP, current US$)", + 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"World/Europe/GBR/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/GHA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/GRC/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Asia/IND/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/NGA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/NLD/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Latam/PAN/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Latam/PER/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/SWE/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Pair/USA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Asia/VNM/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/ZAF/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/BRA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Environment/Nitrous oxide 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"World/Europe/NLD/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/TUR/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Environment/Nitrous oxide emissions in energy sector (thousand 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"World/Europe/FRA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GBR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/KOR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Environment/Nitrous oxide emissions 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"World/Pair/CHN/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 15-19 years", + "World/Latam/COL/Mortality/Number of deaths ages 15-19 years", + "World/Europe/DEU/Mortality/Number of deaths ages 15-19 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 15-19 years", + "World/Europe/ESP/Mortality/Number of deaths ages 15-19 years", + "World/Europe/FRA/Mortality/Number of deaths ages 15-19 years", + "World/Europe/GBR/Mortality/Number of deaths ages 15-19 years", + "World/Europe/GRC/Mortality/Number of deaths ages 15-19 years", + "World/Europe/HRV/Mortality/Number of deaths ages 15-19 years", + "World/Asia/IND/Mortality/Number of deaths ages 15-19 years", + "World/Asia/KOR/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/LBR/Mortality/Number of deaths ages 15-19 years", + "World/North Africa/MAR/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/NGA/Mortality/Number of deaths ages 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of deaths ages 15-19 years", + "World/Europe/AUT/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/AZE/Mortality/Number of deaths ages 20-24 years", + "World/Asia/BGD/Mortality/Number of deaths ages 20-24 years", + "World/Latam/CHL/Mortality/Number of deaths ages 20-24 years", + "World/Pair/CHN/Mortality/Number of deaths ages 20-24 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 20-24 years", + "World/Latam/COL/Mortality/Number of deaths ages 20-24 years", + "World/Latam/CRI/Mortality/Number of deaths ages 20-24 years", + "World/Europe/DEU/Mortality/Number of deaths ages 20-24 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 20-24 years", + "World/Europe/ESP/Mortality/Number of deaths ages 20-24 years", + "World/Europe/FRA/Mortality/Number of deaths ages 20-24 years", + "World/Europe/GBR/Mortality/Number of deaths ages 20-24 years", + "World/Europe/GRC/Mortality/Number of deaths ages 20-24 years", + "World/Europe/HRV/Mortality/Number 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"World/North Africa/TUR/Mortality/Number of deaths ages 20-24 years", + "World/Latam/VEN/Mortality/Number of deaths ages 20-24 years", + "World/Asia/VNM/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/YEM/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/ARE/Mortality/Number of deaths ages 5-9 years", + "World/Latam/ARG/Mortality/Number of deaths ages 5-9 years", + "World/Europe/AUT/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/AZE/Mortality/Number of deaths ages 5-9 years", + "World/Asia/BGD/Mortality/Number of deaths ages 5-9 years", + "World/Latam/BRA/Mortality/Number of deaths ages 5-9 years", + "World/Latam/CHL/Mortality/Number of deaths ages 5-9 years", + "World/Pair/CHN/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 5-9 years", + "World/Latam/COL/Mortality/Number of deaths ages 5-9 years", + "World/Latam/CRI/Mortality/Number of deaths ages 5-9 years", + "World/Europe/DEU/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/EGY/Mortality/Number of deaths ages 5-9 years", + "World/Europe/ESP/Mortality/Number of deaths ages 5-9 years", + "World/Europe/FRA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/GBR/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/GHA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/GRC/Mortality/Number of deaths ages 5-9 years", + "World/Europe/HRV/Mortality/Number of deaths ages 5-9 years", + "World/Asia/IDN/Mortality/Number of deaths ages 5-9 years", + "World/Asia/IND/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/ISR/Mortality/Number of deaths ages 5-9 years", + "World/Asia/KOR/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/MAR/Mortality/Number of deaths ages 5-9 years", + "World/Latam/MEX/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/MOZ/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/NGA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/NLD/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/OMN/Mortality/Number of deaths ages 5-9 years", + "World/Latam/PAN/Mortality/Number of deaths ages 5-9 years", + "World/Latam/PER/Mortality/Number of deaths ages 5-9 years", + "World/Europe/POL/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/QAT/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/SAU/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/SEN/Mortality/Number of deaths ages 5-9 years", + "World/Asia/THA/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/TUR/Mortality/Number of deaths ages 5-9 years", + "World/Pair/USA/Mortality/Number of deaths ages 5-9 years", + "World/Asia/VNM/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/YEM/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/ARE/Mortality/Number of infant deaths", + "World/Latam/ARG/Mortality/Number of infant deaths", + "World/Europe/AUT/Mortality/Number of infant deaths", + "World/Persian Gulf/AZE/Mortality/Number of infant deaths", + "World/Asia/BGD/Mortality/Number of infant deaths", + "World/Latam/BRA/Mortality/Number of infant deaths", + "World/Latam/CHL/Mortality/Number of infant deaths", + "World/Pair/CHN/Mortality/Number of infant deaths", + "World/South Africa/CMR/Mortality/Number of infant deaths", + "World/Latam/COL/Mortality/Number of infant deaths", + "World/Latam/CRI/Mortality/Number of infant deaths", + "World/North Africa/EGY/Mortality/Number of infant deaths", + "World/Europe/FRA/Mortality/Number of infant deaths", + "World/Europe/GBR/Mortality/Number of infant deaths", + "World/South Africa/GHA/Mortality/Number of infant deaths", + "World/Europe/GRC/Mortality/Number of infant deaths", + "World/Europe/HRV/Mortality/Number of infant deaths", + "World/Asia/IDN/Mortality/Number of infant deaths", + "World/Asia/IND/Mortality/Number of infant deaths", + "World/Persian Gulf/IRQ/Mortality/Number of infant deaths", + "World/North Africa/ISR/Mortality/Number of infant deaths", + "World/Asia/KOR/Mortality/Number of infant deaths", + "World/South Africa/LBR/Mortality/Number of infant deaths", + "World/North Africa/MAR/Mortality/Number of infant deaths", + "World/Latam/MEX/Mortality/Number of infant deaths", + "World/South Africa/MOZ/Mortality/Number of infant deaths", + "World/Europe/NLD/Mortality/Number of infant deaths", + "World/Persian Gulf/OMN/Mortality/Number of infant deaths", + "World/Latam/PAN/Mortality/Number of infant deaths", + "World/Latam/PER/Mortality/Number of infant deaths", + "World/Asia/PHL/Mortality/Number of infant deaths", + "World/Europe/POL/Mortality/Number of infant deaths", + "World/Persian Gulf/SAU/Mortality/Number of infant deaths", + "World/South Africa/SEN/Mortality/Number of infant deaths", + "World/Europe/SWE/Mortality/Number of infant deaths", + "World/Asia/THA/Mortality/Number of infant deaths", + "World/North Africa/TUR/Mortality/Number of infant deaths", + "World/Pair/USA/Mortality/Number of infant deaths", + "World/Asia/VNM/Mortality/Number of infant deaths", + "World/Latam/ARG/Mortality/Number of maternal deaths", + "World/Persian Gulf/AZE/Mortality/Number of maternal deaths", + "World/Asia/BGD/Mortality/Number of maternal deaths", + "World/Latam/BRA/Mortality/Number of maternal deaths", + "World/Latam/CHL/Mortality/Number of maternal deaths", + "World/Pair/CHN/Mortality/Number of maternal deaths", + "World/South Africa/CMR/Mortality/Number of maternal deaths", + "World/Latam/COL/Mortality/Number of maternal deaths", + "World/Latam/CRI/Mortality/Number of maternal deaths", + "World/North Africa/DZA/Mortality/Number of maternal deaths", + "World/North Africa/EGY/Mortality/Number of maternal deaths", + "World/Europe/FRA/Mortality/Number of maternal deaths", + "World/Europe/GBR/Mortality/Number of maternal deaths", + "World/Europe/HRV/Mortality/Number of maternal deaths", + "World/Asia/IDN/Mortality/Number of maternal deaths", + "World/Asia/IND/Mortality/Number of maternal deaths", + "World/North Africa/ISR/Mortality/Number of maternal deaths", + "World/Asia/KOR/Mortality/Number of maternal deaths", + "World/North Africa/MAR/Mortality/Number of maternal deaths", + "World/Latam/MEX/Mortality/Number of maternal deaths", + "World/South Africa/MOZ/Mortality/Number of maternal deaths", + "World/South Africa/NGA/Mortality/Number of maternal deaths", + "World/Europe/NLD/Mortality/Number of maternal deaths", + "World/Persian Gulf/OMN/Mortality/Number of maternal deaths", + "World/Latam/PAN/Mortality/Number of maternal deaths", + "World/Latam/PER/Mortality/Number of maternal deaths", + "World/Asia/PHL/Mortality/Number of maternal deaths", + "World/Europe/POL/Mortality/Number of maternal deaths", + "World/Persian Gulf/SAU/Mortality/Number of maternal deaths", + "World/South Africa/SEN/Mortality/Number of maternal deaths", + "World/Asia/THA/Mortality/Number of maternal deaths", + "World/North Africa/TUR/Mortality/Number of maternal deaths", + "World/Pair/USA/Mortality/Number of maternal deaths", + "World/Asia/VNM/Mortality/Number of maternal deaths", + "World/Persian Gulf/YEM/Mortality/Number of maternal deaths", + "World/Persian Gulf/ARE/Mortality/Number of neonatal deaths", + "World/Latam/ARG/Mortality/Number of neonatal deaths", + "World/Europe/AUT/Mortality/Number of neonatal deaths", + "World/Persian Gulf/AZE/Mortality/Number of neonatal deaths", + "World/Asia/BGD/Mortality/Number of neonatal deaths", + "World/Latam/BRA/Mortality/Number of neonatal deaths", + "World/Latam/CHL/Mortality/Number of neonatal deaths", + "World/Pair/CHN/Mortality/Number of neonatal deaths", + "World/Latam/COL/Mortality/Number of neonatal deaths", + "World/Latam/CRI/Mortality/Number of neonatal deaths", + "World/North Africa/DZA/Mortality/Number of neonatal deaths", + "World/North Africa/EGY/Mortality/Number of neonatal deaths", + "World/Europe/FRA/Mortality/Number of neonatal deaths", + "World/Europe/GBR/Mortality/Number of neonatal deaths", + "World/South Africa/GHA/Mortality/Number of neonatal deaths", + "World/Europe/GRC/Mortality/Number of neonatal deaths", + "World/Europe/HRV/Mortality/Number of neonatal deaths", + "World/Asia/IDN/Mortality/Number of neonatal deaths", + "World/Asia/IND/Mortality/Number of neonatal deaths", + "World/North Africa/ISR/Mortality/Number of neonatal deaths", + "World/Asia/KOR/Mortality/Number of neonatal deaths", + "World/North Africa/MAR/Mortality/Number of neonatal deaths", + "World/Latam/MEX/Mortality/Number of neonatal deaths", + "World/South Africa/MOZ/Mortality/Number of neonatal deaths", + "World/South Africa/NGA/Mortality/Number of neonatal deaths", + "World/Europe/NLD/Mortality/Number of neonatal deaths", + "World/Persian Gulf/OMN/Mortality/Number of neonatal deaths", + "World/Latam/PAN/Mortality/Number of neonatal deaths", + "World/Latam/PER/Mortality/Number of neonatal deaths", + "World/Asia/PHL/Mortality/Number of neonatal deaths", + "World/Europe/POL/Mortality/Number of neonatal deaths", + "World/Persian Gulf/QAT/Mortality/Number of neonatal deaths", + "World/Persian Gulf/SAU/Mortality/Number of neonatal deaths", + "World/South Africa/SEN/Mortality/Number of neonatal deaths", + "World/Asia/THA/Mortality/Number of neonatal deaths", + "World/North Africa/TUR/Mortality/Number of neonatal deaths", + "World/Pair/USA/Mortality/Number of neonatal deaths", + "World/Asia/VNM/Mortality/Number of neonatal deaths", + "World/South Africa/ZAF/Mortality/Number of neonatal deaths", + "World/Persian Gulf/ARE/Mortality/Number of under-five deaths", + "World/Latam/ARG/Mortality/Number of under-five deaths", + "World/Europe/AUT/Mortality/Number of under-five deaths", + "World/Persian Gulf/AZE/Mortality/Number of under-five deaths", + "World/Asia/BGD/Mortality/Number of under-five deaths", + "World/Latam/BRA/Mortality/Number of under-five deaths", + "World/Latam/CHL/Mortality/Number of under-five deaths", + "World/Pair/CHN/Mortality/Number of under-five deaths", + "World/South Africa/CMR/Mortality/Number of under-five deaths", + "World/Latam/COL/Mortality/Number of under-five deaths", + "World/Latam/CRI/Mortality/Number of under-five deaths", + "World/North Africa/EGY/Mortality/Number of under-five deaths", + "World/Europe/FRA/Mortality/Number of under-five deaths", + "World/Europe/GBR/Mortality/Number of under-five deaths", + "World/South Africa/GHA/Mortality/Number of under-five deaths", + "World/Europe/GRC/Mortality/Number of under-five deaths", + "World/Europe/HRV/Mortality/Number of under-five deaths", + "World/Asia/IDN/Mortality/Number of under-five deaths", + "World/Asia/IND/Mortality/Number of under-five deaths", + "World/Persian Gulf/IRQ/Mortality/Number of under-five deaths", + "World/North Africa/ISR/Mortality/Number of under-five deaths", + "World/Asia/KOR/Mortality/Number of under-five deaths", + "World/South Africa/LBR/Mortality/Number of under-five deaths", + "World/North Africa/MAR/Mortality/Number of under-five deaths", + "World/Latam/MEX/Mortality/Number of under-five deaths", + "World/South Africa/MOZ/Mortality/Number of under-five deaths", + "World/Europe/NLD/Mortality/Number of under-five deaths", + "World/Persian Gulf/OMN/Mortality/Number of under-five deaths", + "World/Latam/PAN/Mortality/Number of under-five deaths", + "World/Latam/PER/Mortality/Number of under-five deaths", + "World/Asia/PHL/Mortality/Number of under-five deaths", + "World/Europe/POL/Mortality/Number of under-five deaths", + "World/Persian Gulf/SAU/Mortality/Number of under-five deaths", + "World/South Africa/SEN/Mortality/Number of under-five deaths", + "World/Europe/SWE/Mortality/Number of under-five deaths", + "World/Asia/THA/Mortality/Number of under-five deaths", + "World/North Africa/TUR/Mortality/Number of under-five deaths", + "World/Pair/USA/Mortality/Number of under-five deaths", + "World/Asia/VNM/Mortality/Number of under-five deaths", + "World/Latam/ARG/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/AUT/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/AZE/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/BGD/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/BRA/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/CHL/Health/Nurses and midwives (per 1,000 people)", + "World/Pair/CHN/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/CMR/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/CRI/Health/Nurses and midwives (per 1,000 people)", + "World/North Africa/EGY/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/ESP/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/FRA/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/GHA/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/HRV/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/IDN/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/IND/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/KOR/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/LBR/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/MOZ/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/NLD/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/OMN/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/PAN/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/PER/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/POL/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/SAU/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/SWE/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/THA/Health/Nurses and midwives (per 1,000 people)", + "World/North Africa/TUR/Health/Nurses and midwives (per 1,000 people)", + "World/Pair/USA/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/VEN/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/YEM/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/ZAF/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/ARG/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/AUT/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/BGD/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/BRA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/CHL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Pair/CHN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/CMR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/COL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/CRI/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/DEU/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/DZA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/EGY/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/ESP/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/FRA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/GBR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/GHA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/GRC/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/HRV/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/IDN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/IND/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/ISR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/KOR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/LBR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/NGA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/NLD/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/PAN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/PER/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/PHL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/POL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/SEN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/SWE/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Pair/USA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/VEN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/VNM/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/ARG/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/AZE/Health/People practicing open defecation (% of population)", + "World/Asia/BGD/Health/People practicing open defecation (% of population)", + "World/Latam/BRA/Health/People practicing open defecation (% of population)", + "World/Latam/CHL/Health/People practicing open defecation (% of population)", + "World/Pair/CHN/Health/People practicing open defecation (% of population)", + "World/South Africa/CMR/Health/People practicing open defecation (% of population)", + "World/Latam/COL/Health/People practicing open defecation (% of population)", + "World/Latam/CRI/Health/People practicing open defecation (% of population)", + "World/North Africa/DZA/Health/People practicing open defecation (% of population)", + "World/North Africa/EGY/Health/People practicing open defecation (% of population)", + "World/South Africa/GHA/Health/People practicing open defecation (% of population)", + "World/Europe/GRC/Health/People practicing open defecation (% of population)", + "World/Asia/IDN/Health/People practicing open defecation (% of population)", + "World/Asia/IND/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/IRQ/Health/People practicing open defecation (% of population)", + "World/South Africa/LBR/Health/People practicing open defecation (% of population)", + "World/North Africa/MAR/Health/People practicing open defecation (% of population)", + "World/Latam/MEX/Health/People practicing open defecation (% of population)", + "World/South Africa/MOZ/Health/People practicing open defecation (% of population)", + "World/South Africa/NGA/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/OMN/Health/People practicing open defecation (% of population)", + "World/Latam/PAN/Health/People practicing open defecation (% of population)", + "World/Latam/PER/Health/People practicing open defecation (% of population)", + "World/Asia/PHL/Health/People practicing open defecation (% of population)", + "World/South Africa/SEN/Health/People practicing open defecation (% of population)", + "World/Asia/THA/Health/People practicing open defecation (% of population)", + "World/North Africa/TUR/Health/People practicing open defecation (% of population)", + "World/Latam/VEN/Health/People practicing open defecation (% of population)", + "World/Asia/VNM/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/YEM/Health/People practicing open defecation (% of population)", + "World/South Africa/ZAF/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/ARE/Health/People using at least basic drinking water services (% of population)", + "World/Latam/ARG/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/AZE/Health/People using at least basic drinking water services (% of population)", + "World/Asia/BGD/Health/People using at least basic drinking water services (% of population)", + "World/Latam/BRA/Health/People using at least basic drinking water services (% of population)", + "World/Latam/CHL/Health/People using at least basic drinking water services (% of population)", + "World/Pair/CHN/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/CMR/Health/People using at least basic drinking water services (% of population)", + "World/Latam/COL/Health/People using at least basic drinking water services (% of population)", + "World/Latam/CRI/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/DZA/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/EGY/Health/People using at least basic drinking water services (% of population)", + "World/Europe/ESP/Health/People using at least basic drinking water services (% of population)", + "World/Europe/FRA/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/GHA/Health/People using at least basic drinking water services (% of population)", + "World/Europe/GRC/Health/People using at least basic drinking water services (% of population)", + "World/Europe/HRV/Health/People using at least basic drinking water services (% of population)", + "World/Asia/IDN/Health/People using at least basic drinking water services (% of population)", + "World/Asia/IND/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/IRQ/Health/People using at least basic drinking water services (% of population)", + "World/Asia/KOR/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/LBR/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/MAR/Health/People using at least basic drinking water services (% of population)", + "World/Latam/MEX/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/MOZ/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/NGA/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/OMN/Health/People using at least basic drinking water services (% of population)", + "World/Latam/PAN/Health/People using at least basic drinking water services (% of population)", + "World/Latam/PER/Health/People using at least basic drinking water services (% of population)", + "World/Asia/PHL/Health/People using at least basic drinking water services (% of population)", + "World/Europe/POL/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/QAT/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/SAU/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/SEN/Health/People using at least basic drinking water services (% of population)", + "World/Europe/SWE/Health/People using at least basic drinking water services (% of population)", + "World/Asia/THA/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/TUR/Health/People using at least basic drinking water services (% of population)", + "World/Pair/USA/Health/People using at least basic drinking water services (% of population)", + "World/Latam/VEN/Health/People using at least basic drinking water services (% of population)", + "World/Asia/VNM/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/YEM/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/ZAF/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/ARE/Health/People using at least basic sanitation services (% of population)", + "World/Latam/ARG/Health/People using at least basic sanitation services (% of population)", + "World/Europe/AUT/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/AZE/Health/People using at least basic sanitation services (% of population)", + "World/Asia/BGD/Health/People using at least basic sanitation services (% of population)", + "World/Latam/BRA/Health/People using at least basic sanitation services (% of population)", + "World/Latam/CHL/Health/People using at least basic sanitation services (% of population)", + "World/Pair/CHN/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/CMR/Health/People using at least basic sanitation services (% of population)", + "World/Latam/COL/Health/People using at least basic sanitation services (% of population)", + "World/Latam/CRI/Health/People using at least basic sanitation services (% of population)", + "World/Europe/DEU/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/DZA/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/EGY/Health/People using at least basic sanitation services (% of population)", + "World/Europe/ESP/Health/People using at least basic sanitation services (% of population)", + "World/Europe/FRA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/GBR/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/GHA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/GRC/Health/People using at least basic sanitation services (% of population)", + "World/Europe/HRV/Health/People using at least basic sanitation services (% of population)", + "World/Asia/IDN/Health/People using at least basic sanitation services (% of population)", + "World/Asia/IND/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/IRQ/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/ISR/Health/People using at least basic sanitation services (% of population)", + "World/Asia/KOR/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/LBR/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/MAR/Health/People using at least basic sanitation services (% of population)", + "World/Latam/MEX/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/MOZ/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/NGA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/NLD/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/OMN/Health/People using at least basic sanitation services (% of population)", + "World/Latam/PAN/Health/People using at least basic sanitation services (% of population)", + "World/Latam/PER/Health/People using at least basic sanitation services (% of population)", + "World/Asia/PHL/Health/People using at least basic sanitation services (% of population)", + "World/Europe/POL/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/SAU/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/SEN/Health/People using at least basic sanitation services (% of population)", + "World/Europe/SWE/Health/People using at least basic sanitation services (% of population)", + "World/Asia/THA/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/TUR/Health/People using at least basic sanitation services (% of population)", + "World/Pair/USA/Health/People using at least basic sanitation services (% of population)", + "World/Latam/VEN/Health/People using at least basic sanitation services (% of population)", + "World/Asia/VNM/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/YEM/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/ZAF/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/ARE/Health/People using safely managed sanitation services (% of population)", + "World/Latam/ARG/Health/People using safely managed sanitation services (% of population)", + "World/Europe/AUT/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/AZE/Health/People using safely managed sanitation services (% of population)", + "World/Asia/BGD/Health/People using safely managed sanitation services (% of population)", + "World/Latam/BRA/Health/People using safely managed sanitation services (% of population)", + "World/Latam/CHL/Health/People using safely managed sanitation services (% of population)", + "World/Pair/CHN/Health/People using safely managed sanitation services (% of population)", + "World/Latam/COL/Health/People using safely managed sanitation services (% of population)", + "World/Latam/CRI/Health/People using safely managed sanitation services (% of population)", + "World/Europe/DEU/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/DZA/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/EGY/Health/People using safely managed sanitation services (% of population)", + "World/Europe/FRA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/GBR/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/GHA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/GRC/Health/People using safely managed sanitation services (% of population)", + "World/Asia/IND/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/ISR/Health/People using safely managed sanitation services (% of population)", + "World/Asia/KOR/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/MAR/Health/People using safely managed sanitation services (% of population)", + "World/Latam/MEX/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/NGA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/NLD/Health/People using safely managed sanitation services (% of population)", + "World/Latam/PER/Health/People using safely managed sanitation services (% of population)", + "World/Asia/PHL/Health/People using safely managed sanitation services (% of population)", + "World/Europe/POL/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/QAT/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/SAU/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/SEN/Health/People using safely managed sanitation services (% of population)", + "World/Europe/SWE/Health/People using safely managed sanitation services (% of population)", + "World/Asia/THA/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/TUR/Health/People using safely managed sanitation services (% of population)", + "World/Pair/USA/Health/People using safely managed sanitation services (% of population)", + "World/Latam/VEN/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/YEM/Health/People using safely managed sanitation services (% of population)", + "World/Europe/AUT/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Permanent cropland (% of land area)", + "World/Latam/CHL/Agriculture/Permanent cropland (% of land area)", + "World/Pair/CHN/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/CMR/Agriculture/Permanent cropland (% of land area)", + "World/Latam/COL/Agriculture/Permanent cropland (% of land area)", + "World/Latam/CRI/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/DZA/Agriculture/Permanent cropland (% of land area)", + "World/Europe/FRA/Agriculture/Permanent cropland (% of land area)", + "World/Europe/GRC/Agriculture/Permanent cropland (% of land area)", + "World/Asia/IDN/Agriculture/Permanent cropland (% of land area)", + "World/Asia/IND/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/MAR/Agriculture/Permanent cropland (% of land area)", + "World/Latam/MEX/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/MOZ/Agriculture/Permanent cropland (% of land area)", + "World/Europe/NLD/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/OMN/Agriculture/Permanent cropland (% of land area)", + "World/Latam/PER/Agriculture/Permanent cropland (% of land area)", + "World/Asia/PHL/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/SEN/Agriculture/Permanent cropland (% of land area)", + "World/Asia/THA/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/TUR/Agriculture/Permanent cropland (% of land area)", + "World/Asia/VNM/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/ZAF/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/ARE/Demography/Population ages 0-14 (% of total population)", + "World/Latam/ARG/Demography/Population ages 0-14 (% of total population)", + "World/Europe/AUT/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/AZE/Demography/Population ages 0-14 (% of total population)", + "World/Asia/BGD/Demography/Population ages 0-14 (% of total population)", + "World/Latam/BRA/Demography/Population ages 0-14 (% of total population)", + "World/Latam/CHL/Demography/Population ages 0-14 (% of total population)", + "World/Pair/CHN/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/CMR/Demography/Population ages 0-14 (% of total population)", + "World/Latam/COL/Demography/Population ages 0-14 (% of total population)", + "World/Latam/CRI/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/EGY/Demography/Population ages 0-14 (% of total population)", + "World/Europe/FRA/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/GHA/Demography/Population ages 0-14 (% of total population)", + "World/Europe/HRV/Demography/Population ages 0-14 (% of total population)", + "World/Asia/IDN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/IND/Demography/Population ages 0-14 (% of total population)", + "World/Asia/KOR/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/MAR/Demography/Population ages 0-14 (% of total population)", + "World/Latam/MEX/Demography/Population ages 0-14 (% of total population)", + "World/Europe/NLD/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/OMN/Demography/Population ages 0-14 (% of total population)", + "World/Latam/PAN/Demography/Population ages 0-14 (% of total population)", + "World/Latam/PER/Demography/Population ages 0-14 (% of total population)", + "World/Asia/PHL/Demography/Population ages 0-14 (% of total population)", + "World/Europe/POL/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/SAU/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/SEN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/THA/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/TUR/Demography/Population ages 0-14 (% of total population)", + "World/Pair/USA/Demography/Population ages 0-14 (% of total population)", + "World/Latam/VEN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/VNM/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/ARE/Demography/Population ages 15-64 (% of total population)", + "World/Latam/ARG/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/AZE/Demography/Population ages 15-64 (% of total population)", + "World/Asia/BGD/Demography/Population ages 15-64 (% of total population)", + "World/Latam/BRA/Demography/Population ages 15-64 (% of total population)", + "World/Latam/CHL/Demography/Population ages 15-64 (% of total population)", + "World/Pair/CHN/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/CMR/Demography/Population ages 15-64 (% of total population)", + "World/Latam/COL/Demography/Population ages 15-64 (% of total population)", + "World/Latam/CRI/Demography/Population ages 15-64 (% of total population)", + "World/Europe/DEU/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/EGY/Demography/Population ages 15-64 (% of total population)", + "World/Europe/FRA/Demography/Population ages 15-64 (% of total population)", + "World/Europe/GBR/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/GHA/Demography/Population ages 15-64 (% of total population)", + "World/Europe/GRC/Demography/Population ages 15-64 (% of total population)", + "World/Asia/IDN/Demography/Population ages 15-64 (% of total population)", + "World/Asia/IND/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/ISR/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/MAR/Demography/Population ages 15-64 (% of total population)", + "World/Latam/MEX/Demography/Population ages 15-64 (% of total population)", + "World/Europe/NLD/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/OMN/Demography/Population ages 15-64 (% of total population)", + "World/Latam/PAN/Demography/Population ages 15-64 (% of total population)", + "World/Latam/PER/Demography/Population ages 15-64 (% of total population)", + "World/Asia/PHL/Demography/Population ages 15-64 (% of total population)", + "World/Europe/POL/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/SAU/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/SEN/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/TUR/Demography/Population ages 15-64 (% of total population)", + "World/Pair/USA/Demography/Population ages 15-64 (% of total population)", + "World/Latam/VEN/Demography/Population ages 15-64 (% of total population)", + "World/Asia/VNM/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/ARE/Demography/Population ages 65 and above (% of total population)", + "World/Latam/ARG/Demography/Population ages 65 and above (% of total population)", + "World/Europe/AUT/Demography/Population ages 65 and above (% of total population)", + "World/Asia/BGD/Demography/Population ages 65 and above (% of total population)", + "World/Latam/BRA/Demography/Population ages 65 and above (% of total population)", + "World/Latam/CHL/Demography/Population ages 65 and above (% of total population)", + "World/Pair/CHN/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/CMR/Demography/Population ages 65 and above (% of total population)", + "World/Latam/COL/Demography/Population ages 65 and above (% of total population)", + "World/Latam/CRI/Demography/Population ages 65 and above (% of total population)", + "World/Europe/DEU/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/DZA/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/EGY/Demography/Population ages 65 and above (% of total population)", + "World/Europe/FRA/Demography/Population ages 65 and above (% of total population)", + "World/Europe/GBR/Demography/Population ages 65 and above (% of total population)", + "World/Europe/GRC/Demography/Population ages 65 and above (% of total population)", + "World/Europe/HRV/Demography/Population ages 65 and above (% of total population)", + "World/Asia/IDN/Demography/Population ages 65 and above (% of total population)", + "World/Asia/IND/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/ISR/Demography/Population ages 65 and above (% of total population)", + "World/Asia/KOR/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/MAR/Demography/Population ages 65 and above (% of total population)", + "World/Latam/MEX/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/MOZ/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/NGA/Demography/Population ages 65 and above (% of total population)", + "World/Europe/NLD/Demography/Population ages 65 and above (% of total population)", + "World/Latam/PAN/Demography/Population ages 65 and above (% of total population)", + "World/Latam/PER/Demography/Population ages 65 and above (% of total population)", + "World/Asia/PHL/Demography/Population ages 65 and above (% of total population)", + "World/Europe/POL/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 65 and above (% of total population)", + "World/Asia/THA/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/TUR/Demography/Population ages 65 and above (% of total population)", + "World/Pair/USA/Demography/Population ages 65 and above (% of total population)", + "World/Latam/VEN/Demography/Population ages 65 and above (% of total population)", + "World/Asia/VNM/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/ARE/Demography/Population in largest city", + "World/Latam/ARG/Demography/Population in largest city", + "World/Europe/AUT/Demography/Population in largest city", + "World/Persian Gulf/AZE/Demography/Population in largest city", + "World/Asia/BGD/Demography/Population in largest city", + "World/Latam/BRA/Demography/Population in largest city", + "World/Latam/CHL/Demography/Population in largest city", + "World/Pair/CHN/Demography/Population in largest city", + "World/South Africa/CMR/Demography/Population in largest city", + "World/Latam/COL/Demography/Population in largest city", + "World/Latam/CRI/Demography/Population in largest city", + "World/North Africa/DZA/Demography/Population in largest city", + "World/North Africa/EGY/Demography/Population in largest city", + "World/Europe/ESP/Demography/Population in largest city", + "World/Europe/FRA/Demography/Population in largest city", + "World/Europe/GBR/Demography/Population in largest city", + "World/South Africa/GHA/Demography/Population in largest city", + "World/Europe/GRC/Demography/Population in largest city", + "World/Europe/HRV/Demography/Population in largest city", + "World/Asia/IDN/Demography/Population in largest city", + "World/Asia/IND/Demography/Population in largest city", + "World/North Africa/ISR/Demography/Population in largest city", + "World/North Africa/MAR/Demography/Population in largest city", + "World/Latam/MEX/Demography/Population in largest city", + "World/South Africa/MOZ/Demography/Population in largest city", + "World/South Africa/NGA/Demography/Population in largest city", + "World/Europe/NLD/Demography/Population in largest city", + "World/Persian Gulf/OMN/Demography/Population in largest city", + "World/Latam/PAN/Demography/Population in largest city", + "World/Latam/PER/Demography/Population in largest city", + "World/Asia/PHL/Demography/Population in largest city", + "World/Europe/POL/Demography/Population in largest city", + "World/Persian Gulf/QAT/Demography/Population in largest city", + "World/Persian Gulf/SAU/Demography/Population in largest city", + "World/South Africa/SEN/Demography/Population in largest city", + "World/Asia/THA/Demography/Population in largest city", + "World/North Africa/TUR/Demography/Population in largest city", + "World/Pair/USA/Demography/Population in largest city", + "World/Latam/VEN/Demography/Population in largest city", + "World/Asia/VNM/Demography/Population in largest city", + "World/Persian Gulf/YEM/Demography/Population in largest city", + "World/South Africa/ZAF/Demography/Population in largest city", + "World/Persian Gulf/ARE/Demography/Population in the largest city (% of urban population)", + "World/Latam/ARG/Demography/Population in the largest city (% of urban population)", + "World/Europe/AUT/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/AZE/Demography/Population in the largest city (% of urban population)", + "World/Asia/BGD/Demography/Population in the largest city (% of urban population)", + "World/Latam/CHL/Demography/Population in the largest city (% of urban population)", + "World/South Africa/CMR/Demography/Population in the largest city (% of urban population)", + "World/Latam/COL/Demography/Population in the largest city (% of urban population)", + "World/Latam/CRI/Demography/Population in the largest city (% of urban population)", + "World/North Africa/DZA/Demography/Population in the largest city (% of urban population)", + "World/North Africa/EGY/Demography/Population in the largest city (% of urban population)", + "World/Europe/FRA/Demography/Population in the largest city (% of urban population)", + "World/Europe/GBR/Demography/Population in the largest city (% of urban population)", + "World/Asia/IDN/Demography/Population in the largest city (% of urban population)", + "World/Asia/IND/Demography/Population in the largest city (% of urban population)", + "World/North Africa/ISR/Demography/Population in the largest city (% of urban population)", + "World/Asia/KOR/Demography/Population in the largest city (% of urban population)", + "World/North Africa/MAR/Demography/Population in the largest city (% of urban population)", + "World/Latam/MEX/Demography/Population in the largest city (% of urban population)", + "World/South Africa/MOZ/Demography/Population in the largest city (% of urban population)", + "World/South Africa/NGA/Demography/Population in the largest city (% of urban population)", + "World/Europe/NLD/Demography/Population in the largest city (% of urban population)", + "World/Latam/PAN/Demography/Population in the largest city (% of urban population)", + "World/Latam/PER/Demography/Population in the largest city (% of urban population)", + "World/Europe/POL/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/QAT/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/SAU/Demography/Population in the largest city (% of urban population)", + "World/South Africa/SEN/Demography/Population in the largest city (% of urban population)", + "World/North Africa/TUR/Demography/Population in the largest city (% of urban population)", + "World/Pair/USA/Demography/Population in the largest city (% of urban population)", + "World/Latam/VEN/Demography/Population in the largest city (% of urban population)", + "World/Asia/VNM/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/YEM/Demography/Population in the largest city (% of urban population)", + "World/South Africa/ZAF/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/CHL/Demography/Population in urban agglomerations of more than 1 million", + "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/DEU/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/EGY/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/ESP/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/FRA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/ISR/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/NLD/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/OMN/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/PHL/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/SEN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million", + "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/VEN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/AZE/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/BGD/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/CHL/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Pair/CHN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/CMR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/EGY/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Europe/GBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/GHA/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/IDN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/IND/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/LBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/MAR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/MOZ/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/PAN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/PER/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/SEN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Europe/SWE/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/THA/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/TUR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/VNM/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Persian Gulf/YEM/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/ZAF/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Persian Gulf/ARE/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/AZE/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/BGD/Health/Pregnant women receiving prenatal care (%)", + "World/Pair/CHN/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/CMR/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/COL/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/CRI/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/DZA/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/EGY/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/IDN/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/IND/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/LBR/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/MAR/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/MOZ/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/NGA/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/PER/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/PHL/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/QAT/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/SAU/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/SEN/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/TUR/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/VEN/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/VNM/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/YEM/Health/Pregnant women receiving prenatal care (%)", + "World/Europe/AUT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/BGD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/BRA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Pair/CHN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/CMR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/COL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/CRI/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/DEU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/DZA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/EGY/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/ESP/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/GBR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/GHA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/GRC/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/IND/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/ISR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/MAR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/MEX/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/MOZ/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/NGA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/NLD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/PAN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/PER/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/PHL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/SEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Pair/USA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/VEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/VNM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/BGD/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/BRA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/CHL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Pair/CHN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/CMR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/COL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/CRI/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/DZA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/EGY/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/ESP/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/GBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/GHA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/ISR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/KOR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/LBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/MAR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/MEX/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/MOZ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/NGA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/NLD/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/PAN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/PER/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/PHL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/SEN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/THA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Pair/USA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/VEN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/VNM/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/ZAF/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/ARE/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/ARG/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/BGD/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/BRA/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/CHL/Health/Prevalence of anemia among pregnant women (%)", + "World/Pair/CHN/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/CMR/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/COL/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/CRI/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/DZA/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/EGY/Health/Prevalence of anemia among pregnant women (%)", + "World/Europe/GBR/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/GHA/Health/Prevalence of anemia among pregnant women (%)", + "World/Europe/HRV/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/IND/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/ISR/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/KOR/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/LBR/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/MAR/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/MEX/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/MOZ/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/NGA/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/PAN/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/PER/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/PHL/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/SEN/Health/Prevalence of anemia among pregnant women (%)", + "World/Pair/USA/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/VEN/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/VNM/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/ZAF/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/ARG/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/BGD/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/BRA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/CHL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Pair/CHN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/CMR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/COL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/CRI/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/DZA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/EGY/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/ESP/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/FRA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/GBR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/GHA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/GRC/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/ISR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/KOR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/LBR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/MAR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/MEX/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/MOZ/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/NGA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/NLD/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/PAN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/PER/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/PHL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/SEN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/THA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Pair/USA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/VEN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/VNM/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/ZAF/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/ARG/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/AUT/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/AZE/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/BGD/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/BRA/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/CHL/Health/Prevalence of current tobacco use (% of adults)", + "World/Pair/CHN/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/CMR/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/COL/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/CRI/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/DEU/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/DZA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/ESP/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/FRA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/GBR/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/GHA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/GRC/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/HRV/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/IDN/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/IND/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/IRQ/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/ISR/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/KOR/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/LBR/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/MAR/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/MEX/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/MOZ/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/NGA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/NLD/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/OMN/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/PAN/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/PER/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/PHL/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/POL/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/QAT/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/SEN/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/SWE/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/THA/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/TUR/Health/Prevalence of current tobacco use (% of adults)", + "World/Pair/USA/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/VNM/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/YEM/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/ZAF/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/ARG/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/AZE/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/BGD/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/CHL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Pair/CHN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/COL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/CRI/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/DZA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/EGY/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/GRC/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/IDN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/IND/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/KOR/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/MAR/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/MEX/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/South Africa/NGA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/NLD/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/OMN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/PAN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/PER/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/PHL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/POL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/QAT/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/SAU/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/THA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Pair/USA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/VEN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/VNM/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/YEM/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/South Africa/ZAF/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/AZE/Health/Prevalence of undernourishment (% of population)", + "World/Asia/BGD/Health/Prevalence of undernourishment (% of population)", + "World/Latam/BRA/Health/Prevalence of undernourishment (% of population)", + "World/Pair/CHN/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/CMR/Health/Prevalence of undernourishment (% of population)", + "World/North Africa/DZA/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/GHA/Health/Prevalence of undernourishment (% of population)", + "World/Asia/IDN/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/IRQ/Health/Prevalence of undernourishment (% of population)", + "World/North Africa/MAR/Health/Prevalence of undernourishment (% of population)", + "World/Latam/MEX/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/MOZ/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/NGA/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/OMN/Health/Prevalence of undernourishment (% of population)", + "World/Latam/PAN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/PHL/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/SEN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/THA/Health/Prevalence of undernourishment (% of population)", + "World/Latam/VEN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/VNM/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/YEM/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/ARE/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Persian Gulf/AZE/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Asia/BGD/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Latam/BRA/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Pair/CHN/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/South Africa/CMR/Economy/Price level ratio of PPP conversion factor (GDP) to market 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"World/Pair/USA/Economy/Primary income receipts (BoP, current US$)", + "World/Asia/VNM/Economy/Primary income receipts (BoP, current US$)", + "World/Persian Gulf/YEM/Economy/Primary income receipts (BoP, current US$)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/AZE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/BRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/CRI/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/MEX/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South 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(per 1,000)", + "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/NGA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/NLD/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/OMN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/PAN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/PER/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/PHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/POL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/QAT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/SAU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/SEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/VEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/AZE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/BRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/CRI/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/MEX/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South 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"World/Europe/SWE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/NGA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/NLD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/OMN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/PAN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/PER/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/PHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/POL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/QAT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/SAU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/SEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/VEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/ARG/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/AZE/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/CHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Pair/CHN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/COL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket 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"World/Latam/MEX/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/South Africa/MOZ/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/South Africa/NGA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/PAN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/PER/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Asia/PHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/SAU/Economy/Proportion of 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household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/AZE/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/BGD/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/BRA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/CHL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Pair/CHN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/CMR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/DZA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/EGY/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Europe/GBR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/GHA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/IND/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/ISR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/KOR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/MEX/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/MOZ/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/PAN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/PHL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Europe/POL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/SEN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/THA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/TUR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Pair/USA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/VNM/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/GHA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/IND/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/NGA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Pair/CHN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/POL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/VEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/ARE/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/ARG/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/BGD/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Pair/CHN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/CRI/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/DEU/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/EGY/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/GBR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/GHA/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/GRC/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/IDN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/IND/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/KOR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/MAR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/MEX/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/MOZ/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/NLD/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/PAN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/PHL/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/POL/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Persian Gulf/SAU/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/SWE/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/TUR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Pair/USA/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/VNM/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/ZAF/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Persian Gulf/ARE/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/ARG/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/AUT/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/AZE/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/BGD/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/BRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/CHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Pair/CHN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/CMR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/COL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/CRI/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/DZA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/EGY/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/ESP/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/FRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/GBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/GHA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/IDN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/IND/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/ISR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/KOR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/LBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/MAR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/MEX/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/MOZ/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/NGA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/NLD/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/OMN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/PAN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/PER/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/PHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/POL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/QAT/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/SAU/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/SEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/THA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/TUR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Pair/USA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/VEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/VNM/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/YEM/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/ZAF/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/AUT/R&D/Researchers in R&D (per million people)", + "World/Latam/BRA/R&D/Researchers in R&D (per million people)", + "World/Pair/CHN/R&D/Researchers in R&D (per million people)", + "World/Europe/DEU/R&D/Researchers in R&D (per million people)", + "World/North Africa/DZA/R&D/Researchers in R&D (per million people)", + "World/Europe/ESP/R&D/Researchers in R&D (per million people)", + "World/Europe/FRA/R&D/Researchers in R&D (per million people)", + "World/Europe/GBR/R&D/Researchers in R&D (per million people)", + "World/South Africa/GHA/R&D/Researchers in R&D (per million people)", + "World/Europe/GRC/R&D/Researchers in R&D (per million people)", + "World/Asia/IND/R&D/Researchers in R&D (per million people)", + "World/Asia/KOR/R&D/Researchers in R&D (per million people)", + "World/North Africa/MAR/R&D/Researchers in R&D (per million people)", + "World/South Africa/MOZ/R&D/Researchers in R&D (per million people)", + "World/Europe/NLD/R&D/Researchers in R&D (per million people)", + "World/Persian Gulf/OMN/R&D/Researchers in R&D (per million people)", + "World/Asia/PHL/R&D/Researchers in R&D (per million people)", + "World/Europe/POL/R&D/Researchers in R&D (per million people)", + "World/Asia/THA/R&D/Researchers in R&D (per million people)", + "World/North Africa/TUR/R&D/Researchers in R&D (per million people)", + "World/Pair/USA/R&D/Researchers in R&D (per million people)", + "World/Latam/VEN/R&D/Researchers in R&D (per million people)", + "World/Persian Gulf/AZE/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/BGD/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/BRA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/CHL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Pair/CHN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/CRI/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/North Africa/EGY/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Europe/ESP/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/South Africa/GHA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/IND/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/KOR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/North Africa/MAR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/MEX/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/PAN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/PER/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Europe/POL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/THA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Pair/USA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/VNM/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Persian Gulf/AZE/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/BGD/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/BRA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/CHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Pair/CHN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/CMR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/COL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/CRI/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/DZA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/EGY/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/GHA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/IDN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/IND/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/MAR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/MEX/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/MOZ/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/PAN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/PER/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/PHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Europe/POL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/SEN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/THA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/VNM/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Persian Gulf/ARE/Demography/Rural population", + "World/Latam/ARG/Demography/Rural population", + "World/Europe/AUT/Demography/Rural population", + "World/Persian Gulf/AZE/Demography/Rural population", + "World/Asia/BGD/Demography/Rural population", + "World/Latam/BRA/Demography/Rural population", + "World/Pair/CHN/Demography/Rural population", + "World/South Africa/CMR/Demography/Rural population", + "World/Latam/COL/Demography/Rural population", + "World/Latam/CRI/Demography/Rural population", + "World/North Africa/DZA/Demography/Rural population", + "World/North Africa/EGY/Demography/Rural population", + "World/Europe/FRA/Demography/Rural population", + "World/Europe/GBR/Demography/Rural population", + "World/South Africa/GHA/Demography/Rural population", + "World/Europe/GRC/Demography/Rural population", + "World/Europe/HRV/Demography/Rural population", + "World/Asia/IDN/Demography/Rural population", + "World/Asia/IND/Demography/Rural population", + "World/North Africa/ISR/Demography/Rural population", + "World/South Africa/LBR/Demography/Rural population", + "World/North Africa/MAR/Demography/Rural population", + "World/South Africa/MOZ/Demography/Rural population", + "World/South Africa/NGA/Demography/Rural population", + "World/Europe/NLD/Demography/Rural population", + "World/Persian Gulf/OMN/Demography/Rural population", + "World/Latam/PAN/Demography/Rural population", + "World/Asia/PHL/Demography/Rural population", + "World/Europe/POL/Demography/Rural population", + "World/Persian Gulf/QAT/Demography/Rural population", + "World/Persian Gulf/SAU/Demography/Rural population", + "World/South Africa/SEN/Demography/Rural population", + "World/North Africa/TUR/Demography/Rural population", + "World/Pair/USA/Demography/Rural population", + "World/Asia/VNM/Demography/Rural population", + "World/Persian Gulf/YEM/Demography/Rural population", + "World/Persian Gulf/ARE/Demography/Rural population (% of total population)", + "World/Latam/ARG/Demography/Rural population (% of total population)", + "World/Persian Gulf/AZE/Demography/Rural population (% of total population)", + "World/Asia/BGD/Demography/Rural population (% of total population)", + "World/Latam/BRA/Demography/Rural population (% of total population)", + "World/Latam/CHL/Demography/Rural population (% of total population)", + "World/Pair/CHN/Demography/Rural population (% of total population)", + "World/South Africa/CMR/Demography/Rural population (% of total population)", + "World/Latam/COL/Demography/Rural population (% of total population)", + "World/Latam/CRI/Demography/Rural population (% of total population)", + "World/Europe/DEU/Demography/Rural population (% of total population)", + "World/North Africa/DZA/Demography/Rural population (% of total population)", + "World/Europe/ESP/Demography/Rural population (% of total population)", + "World/Europe/FRA/Demography/Rural population (% of total population)", + "World/Europe/GBR/Demography/Rural population (% of total population)", + "World/South Africa/GHA/Demography/Rural population (% of total population)", + "World/Europe/GRC/Demography/Rural population (% of total population)", + "World/Europe/HRV/Demography/Rural population (% of total population)", + "World/Asia/IDN/Demography/Rural population (% of total population)", + "World/Asia/IND/Demography/Rural population (% of total population)", + "World/Persian Gulf/IRQ/Demography/Rural population (% of total population)", + "World/North Africa/ISR/Demography/Rural population (% of total population)", + "World/South Africa/LBR/Demography/Rural population (% of total population)", + "World/North Africa/MAR/Demography/Rural population (% of total population)", + "World/Latam/MEX/Demography/Rural population (% of total population)", + "World/South Africa/MOZ/Demography/Rural population (% of total population)", + "World/South Africa/NGA/Demography/Rural population (% of total population)", + "World/Europe/NLD/Demography/Rural population (% of total population)", + "World/Persian Gulf/OMN/Demography/Rural population (% of total population)", + "World/Latam/PAN/Demography/Rural population (% of total population)", + "World/Latam/PER/Demography/Rural population (% of total population)", + "World/Europe/POL/Demography/Rural population (% of total population)", + "World/Persian Gulf/QAT/Demography/Rural population (% of total population)", + "World/Persian Gulf/SAU/Demography/Rural population (% of total population)", + "World/South Africa/SEN/Demography/Rural population (% of total population)", + "World/Asia/THA/Demography/Rural population (% of total population)", + "World/North Africa/TUR/Demography/Rural population (% of total population)", + "World/Pair/USA/Demography/Rural population (% of total population)", + "World/Latam/VEN/Demography/Rural population (% of total population)", + "World/Asia/VNM/Demography/Rural population (% of total population)", + "World/Persian Gulf/YEM/Demography/Rural population (% of total population)", + "World/South Africa/ZAF/Demography/Rural population (% of total population)", + "World/Persian Gulf/ARE/industry/Scientific and technical journal articles", + "World/Latam/ARG/industry/Scientific and technical journal articles", + "World/Europe/AUT/industry/Scientific and technical journal articles", + "World/Persian Gulf/AZE/industry/Scientific and technical journal articles", + "World/Asia/BGD/industry/Scientific and technical journal articles", + "World/Latam/BRA/industry/Scientific and technical journal articles", + "World/Latam/CHL/industry/Scientific and technical journal articles", + "World/Pair/CHN/industry/Scientific and technical journal articles", + "World/South Africa/CMR/industry/Scientific and technical journal articles", + "World/Latam/COL/industry/Scientific and technical journal articles", + "World/Latam/CRI/industry/Scientific and technical journal articles", + "World/North Africa/DZA/industry/Scientific 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+ "World/Europe/ESP/Imports/Service imports (BoP, current US$)", + "World/Europe/FRA/Imports/Service imports (BoP, current US$)", + "World/Europe/GBR/Imports/Service imports (BoP, current US$)", + "World/South Africa/GHA/Imports/Service imports (BoP, current US$)", + "World/Europe/HRV/Imports/Service imports (BoP, current US$)", + "World/Asia/IDN/Imports/Service imports (BoP, current US$)", + "World/Asia/IND/Imports/Service imports (BoP, current US$)", + "World/North Africa/ISR/Imports/Service imports (BoP, current US$)", + "World/Asia/KOR/Imports/Service imports (BoP, current US$)", + "World/North Africa/MAR/Imports/Service imports (BoP, current US$)", + "World/Latam/MEX/Imports/Service imports (BoP, current US$)", + "World/South Africa/MOZ/Imports/Service imports (BoP, current US$)", + "World/South Africa/NGA/Imports/Service imports (BoP, current US$)", + "World/Europe/NLD/Imports/Service imports (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Service imports (BoP, current 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"World/Asia/BGD/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/BRA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/CHL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Pair/CHN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/COL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/DZA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/EGY/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/IDN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/IND/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/MAR/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/MEX/Mortality/Suicide mortality rate (per 100,000 population)", + "World/South Africa/NGA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/PAN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/PHL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Europe/POL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/QAT/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/SAU/Mortality/Suicide mortality rate (per 100,000 population)", + "World/South Africa/SEN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/TUR/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Pair/USA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/VEN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/VNM/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/YEM/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/ARG/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/AUT/Taxes/Taxes less subsidies on products (current US$)", + "World/Persian Gulf/AZE/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/BGD/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/BRA/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/CHL/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/CMR/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/COL/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/CRI/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/DEU/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/DZA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/ESP/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/FRA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/GBR/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/GHA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/GRC/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/HRV/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/IND/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/ISR/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/KOR/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/MAR/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/MEX/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/MOZ/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/NGA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/NLD/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/PAN/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/PER/Taxes/Taxes less subsidies on products (current US$)", + 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"World/Asia/THA/Economy/Taxes on international trade (% of revenue)", + "World/Latam/ARG/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/AUT/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Asia/BGD/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/CHL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Pair/CHN/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/COL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/CRI/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/DEU/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/DZA/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/ESP/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/FRA/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/GBR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/GRC/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/ISR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Asia/KOR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/MAR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/MEX/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Persian Gulf/OMN/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/PER/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/POL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/SWE/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Pair/USA/Industry/Textiles and clothing 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requirements of government regulations (% of senior management time)", + "World/South Africa/NGA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/PAN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/PER/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/PHL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Europe/POL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/South Africa/SEN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/THA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/North Africa/TUR/R&D/Time spent dealing with the 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projected estimates, 15+ years of age)", + "World/Asia/IND/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/North Africa/ISR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/KOR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/North Africa/MAR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/MEX/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/South Africa/MOZ/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/South Africa/NGA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/NLD/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/OMN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/PAN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/POL/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/QAT/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/THA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Pair/USA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/VEN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/VNM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/YEM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/ARE/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/AZE/Industry/Total fisheries production (metric tons)", + "World/Asia/BGD/Industry/Total fisheries production (metric tons)", + "World/Latam/BRA/Industry/Total fisheries production (metric tons)", + "World/Latam/CHL/Industry/Total fisheries production (metric tons)", + "World/Pair/CHN/Industry/Total fisheries production (metric tons)", + "World/South Africa/CMR/Industry/Total fisheries production (metric tons)", + "World/Latam/CRI/Industry/Total fisheries production (metric tons)", + "World/North Africa/EGY/Industry/Total fisheries production (metric tons)", + "World/Europe/HRV/Industry/Total fisheries production (metric tons)", + "World/Asia/IDN/Industry/Total fisheries production (metric tons)", + "World/Asia/IND/Industry/Total fisheries production (metric tons)", + "World/North Africa/ISR/Industry/Total fisheries production (metric tons)", + "World/North Africa/MAR/Industry/Total fisheries production (metric tons)", + "World/Latam/MEX/Industry/Total fisheries production (metric tons)", + "World/South Africa/MOZ/Industry/Total fisheries production (metric tons)", + "World/South Africa/NGA/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/OMN/Industry/Total fisheries production (metric tons)", + "World/Asia/PHL/Industry/Total fisheries production (metric tons)", + "World/Europe/POL/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/SAU/Industry/Total fisheries production (metric tons)", + "World/Asia/THA/Industry/Total fisheries production (metric tons)", + "World/Asia/VNM/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/BGD/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/CHL/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Pair/CHN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/CRI/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/DZA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/EGY/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/GBR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/HRV/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/IND/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/IRQ/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/ISR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/KOR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/MAR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/MEX/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/NLD/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/PAN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/PHL/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/SWE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/THA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/TUR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Pair/USA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/VNM/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/BGD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/BRA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/CHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Pair/CHN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/CMR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/COL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/CRI/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/DEU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/DZA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/EGY/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/GBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/GHA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/GRC/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/IDN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/IND/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/ISR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/KOR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/LBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/MAR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/MEX/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/NGA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/NLD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/PAN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/PER/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/PHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/SAU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/SEN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/SWE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/THA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/TUR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/VNM/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/ARE/Economy/Total reserves (includes gold, current US$)", + "World/Asia/BGD/Economy/Total reserves (includes gold, current US$)", + "World/Latam/BRA/Economy/Total reserves (includes gold, current US$)", + "World/Latam/CHL/Economy/Total reserves (includes gold, current US$)", + "World/Pair/CHN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/COL/Economy/Total reserves (includes gold, current US$)", + "World/Latam/CRI/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/DZA/Economy/Total reserves (includes gold, current US$)", + "World/Europe/ESP/Economy/Total reserves (includes gold, current US$)", + "World/Europe/FRA/Economy/Total reserves (includes gold, current US$)", + "World/Europe/GBR/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/GHA/Economy/Total reserves (includes gold, current US$)", + "World/Asia/IDN/Economy/Total reserves (includes gold, current US$)", + "World/Asia/IND/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/IRQ/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/ISR/Economy/Total reserves (includes gold, current US$)", + "World/Asia/KOR/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/LBR/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/MAR/Economy/Total reserves (includes gold, current US$)", + "World/Latam/MEX/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/MOZ/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/OMN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/PAN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/PER/Economy/Total reserves (includes gold, current US$)", + "World/Asia/PHL/Economy/Total reserves (includes gold, current US$)", + "World/Europe/POL/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/QAT/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/SAU/Economy/Total reserves (includes gold, current US$)", + "World/Europe/SWE/Economy/Total reserves (includes gold, current US$)", + "World/Asia/THA/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/TUR/Economy/Total reserves (includes gold, current US$)", + "World/Pair/USA/Economy/Total reserves (includes gold, current US$)", + "World/Latam/VEN/Economy/Total reserves (includes gold, current US$)", + "World/Asia/VNM/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/ZAF/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/ARE/Economy/Total reserves minus gold (current US$)", + "World/Asia/BGD/Economy/Total reserves minus gold (current US$)", + "World/Latam/BRA/Economy/Total reserves minus gold (current US$)", + "World/Latam/CHL/Economy/Total reserves minus gold (current US$)", + "World/Pair/CHN/Economy/Total reserves minus gold (current US$)", + "World/Latam/COL/Economy/Total reserves minus gold (current US$)", + "World/Latam/CRI/Economy/Total reserves minus gold (current US$)", + "World/North Africa/DZA/Economy/Total reserves minus gold (current US$)", + "World/Europe/FRA/Economy/Total reserves minus gold (current US$)", + "World/Europe/GBR/Economy/Total reserves minus gold (current US$)", + "World/South Africa/GHA/Economy/Total reserves minus gold (current US$)", + "World/Asia/IDN/Economy/Total reserves minus gold (current US$)", + "World/Asia/IND/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/IRQ/Economy/Total reserves minus gold (current US$)", + "World/North Africa/ISR/Economy/Total reserves minus gold (current US$)", + "World/Asia/KOR/Economy/Total reserves minus gold (current US$)", + "World/South Africa/LBR/Economy/Total reserves minus gold (current US$)", + "World/North Africa/MAR/Economy/Total reserves minus gold (current US$)", + "World/Latam/MEX/Economy/Total reserves minus gold (current US$)", + "World/South Africa/MOZ/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/OMN/Economy/Total reserves minus gold (current US$)", + "World/Latam/PAN/Economy/Total reserves minus gold (current US$)", + "World/Latam/PER/Economy/Total reserves minus gold (current US$)", + "World/Asia/PHL/Economy/Total reserves minus gold (current US$)", + "World/Europe/POL/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/QAT/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/SAU/Economy/Total reserves minus gold (current US$)", + "World/Europe/SWE/Economy/Total reserves minus gold (current US$)", + "World/Asia/THA/Economy/Total reserves minus gold (current US$)", + "World/North Africa/TUR/Economy/Total reserves minus gold (current US$)", + "World/Latam/VEN/Economy/Total reserves minus gold (current US$)", + "World/Asia/VNM/Economy/Total reserves minus gold (current US$)", + "World/South Africa/ZAF/Economy/Total reserves minus gold (current US$)", + "World/Latam/ARG/Health/UHC service coverage index", + "World/Europe/AUT/Health/UHC service coverage index", + "World/Persian Gulf/AZE/Health/UHC service coverage index", + "World/Asia/BGD/Health/UHC service coverage index", + "World/Latam/BRA/Health/UHC service coverage index", + "World/Latam/CHL/Health/UHC service coverage index", + "World/Pair/CHN/Health/UHC service coverage index", + "World/South Africa/CMR/Health/UHC service coverage index", + "World/Latam/COL/Health/UHC service coverage index", + "World/Latam/CRI/Health/UHC service coverage index", + "World/Europe/DEU/Health/UHC service coverage index", + "World/North Africa/DZA/Health/UHC service coverage index", + "World/North Africa/EGY/Health/UHC service coverage index", + "World/Europe/ESP/Health/UHC service coverage index", + "World/Europe/FRA/Health/UHC service coverage index", + "World/Europe/GBR/Health/UHC service coverage index", + "World/South Africa/GHA/Health/UHC service coverage index", + "World/Europe/GRC/Health/UHC service coverage index", + "World/Europe/HRV/Health/UHC service coverage index", + "World/Asia/IDN/Health/UHC service coverage index", + "World/Asia/IND/Health/UHC service coverage index", + "World/Persian Gulf/IRQ/Health/UHC service coverage index", + "World/North Africa/ISR/Health/UHC service coverage index", + "World/Asia/KOR/Health/UHC service coverage index", + "World/South Africa/LBR/Health/UHC service coverage index", + "World/North Africa/MAR/Health/UHC service coverage index", + "World/Latam/MEX/Health/UHC service coverage index", + "World/South Africa/MOZ/Health/UHC service coverage index", + "World/South Africa/NGA/Health/UHC service coverage index", + "World/Europe/NLD/Health/UHC service coverage index", + "World/Persian Gulf/OMN/Health/UHC service coverage index", + "World/Latam/PAN/Health/UHC service coverage index", + "World/Latam/PER/Health/UHC service coverage index", + "World/Asia/PHL/Health/UHC service coverage index", + "World/Europe/POL/Health/UHC service coverage index", + "World/Persian Gulf/QAT/Health/UHC service coverage index", + "World/South Africa/SEN/Health/UHC service coverage index", + "World/Europe/SWE/Health/UHC service coverage index", + "World/Asia/THA/Health/UHC service coverage index", + "World/North Africa/TUR/Health/UHC service coverage index", + "World/Pair/USA/Health/UHC service coverage index", + "World/Latam/VEN/Health/UHC service coverage index", + "World/Asia/VNM/Health/UHC service coverage index", + "World/Persian Gulf/YEM/Health/UHC service coverage index", + "World/South Africa/ZAF/Health/UHC service coverage index", + "World/Persian Gulf/ARE/Demography/Urban population", + "World/Latam/ARG/Demography/Urban population", + "World/Persian Gulf/AZE/Demography/Urban population", + "World/Asia/BGD/Demography/Urban population", + "World/Latam/BRA/Demography/Urban population", + "World/Latam/CHL/Demography/Urban population", + "World/Pair/CHN/Demography/Urban population", + "World/South Africa/CMR/Demography/Urban population", + "World/Latam/COL/Demography/Urban population", + "World/Latam/CRI/Demography/Urban population", + "World/North Africa/DZA/Demography/Urban population", + "World/North Africa/EGY/Demography/Urban population", + "World/Europe/ESP/Demography/Urban population", + "World/Europe/FRA/Demography/Urban population", + "World/Europe/GBR/Demography/Urban population", + "World/South Africa/GHA/Demography/Urban population", + "World/Asia/IDN/Demography/Urban population", + "World/Asia/IND/Demography/Urban population", + "World/North Africa/ISR/Demography/Urban population", + "World/Asia/KOR/Demography/Urban population", + "World/South Africa/LBR/Demography/Urban population", + "World/North Africa/MAR/Demography/Urban population", + "World/Latam/MEX/Demography/Urban population", + "World/South Africa/MOZ/Demography/Urban population", + "World/South Africa/NGA/Demography/Urban population", + "World/Europe/NLD/Demography/Urban population", + "World/Persian Gulf/OMN/Demography/Urban population", + "World/Latam/PAN/Demography/Urban population", + "World/Latam/PER/Demography/Urban population", + "World/Asia/PHL/Demography/Urban population", + "World/Europe/POL/Demography/Urban population", + "World/Persian Gulf/QAT/Demography/Urban population", + "World/Persian Gulf/SAU/Demography/Urban population", + "World/South Africa/SEN/Demography/Urban population", + "World/Asia/THA/Demography/Urban population", + "World/North Africa/TUR/Demography/Urban population", + "World/Pair/USA/Demography/Urban population", + "World/Latam/VEN/Demography/Urban population", + "World/Asia/VNM/Demography/Urban population", + "World/Persian Gulf/YEM/Demography/Urban population", + "World/South Africa/ZAF/Demography/Urban population", + "World/Persian Gulf/ARE/Demography/Urban population (% of total population)", + "World/Latam/ARG/Demography/Urban population (% of total population)", + "World/Persian Gulf/AZE/Demography/Urban population (% of total population)", + "World/Asia/BGD/Demography/Urban population (% of total population)", + "World/Latam/BRA/Demography/Urban population (% of total population)", + "World/Latam/CHL/Demography/Urban population (% of total population)", + "World/Pair/CHN/Demography/Urban population (% of total population)", + "World/South Africa/CMR/Demography/Urban population (% of total population)", + "World/Latam/COL/Demography/Urban population (% of total population)", + "World/Latam/CRI/Demography/Urban population (% of total population)", + "World/Europe/DEU/Demography/Urban population (% of total population)", + "World/North Africa/DZA/Demography/Urban population (% of total population)", + "World/Europe/ESP/Demography/Urban population (% of total population)", + "World/Europe/FRA/Demography/Urban population (% of total population)", + "World/Europe/GBR/Demography/Urban population (% of total population)", + "World/South Africa/GHA/Demography/Urban population (% of total population)", + "World/Europe/GRC/Demography/Urban population (% of total population)", + "World/Europe/HRV/Demography/Urban population (% of total population)", + "World/Asia/IDN/Demography/Urban population (% of total population)", + "World/Asia/IND/Demography/Urban population (% of total population)", + "World/Persian Gulf/IRQ/Demography/Urban population (% of total population)", + "World/North Africa/ISR/Demography/Urban population (% of total population)", + "World/South Africa/LBR/Demography/Urban population (% of total population)", + "World/North Africa/MAR/Demography/Urban population (% of total population)", + "World/Latam/MEX/Demography/Urban population (% of total population)", + "World/South Africa/MOZ/Demography/Urban population (% of total population)", + "World/South Africa/NGA/Demography/Urban population (% of total population)", + "World/Europe/NLD/Demography/Urban population (% of total population)", + "World/Persian Gulf/OMN/Demography/Urban population (% of total population)", + "World/Latam/PAN/Demography/Urban population (% of total population)", + "World/Latam/PER/Demography/Urban population (% of total population)", + "World/Europe/POL/Demography/Urban population (% of total population)", + "World/Persian Gulf/QAT/Demography/Urban population (% of total population)", + "World/Persian Gulf/SAU/Demography/Urban population (% of total population)", + "World/South Africa/SEN/Demography/Urban population (% of total population)", + "World/Asia/THA/Demography/Urban population (% of total population)", + "World/North Africa/TUR/Demography/Urban population (% of total population)", + "World/Pair/USA/Demography/Urban population (% of total population)", + "World/Latam/VEN/Demography/Urban population (% of total population)", + "World/Asia/VNM/Demography/Urban population (% of total population)", + "World/Persian Gulf/YEM/Demography/Urban population (% of total population)", + "World/South Africa/ZAF/Demography/Urban population (% of total population)", + "World/Europe/AUT/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/AZE/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/BGD/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/CHL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Pair/CHN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/COL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/CRI/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/DEU/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/DZA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/EGY/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/GBR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/GHA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/HRV/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/IND/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/ISR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/KOR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/MAR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/MEX/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/MOZ/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/NGA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/NLD/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/PAN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/PER/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/PHL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/POL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/SAU/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/SWE/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/THA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/TUR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/VEN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/VNM/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/YEM/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/ZAF/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/ARE/A&D", + "World/Latam/ARG/A&D", + "World/Europe/AUT/A&D", + "World/Persian Gulf/AZE/A&D", + "World/Asia/BGD/A&D", + "World/Latam/BRA/A&D", + "World/Latam/CHL/A&D", + "World/Pair/CHN/A&D", + "World/Latam/CRI/A&D", + "World/North Africa/EGY/A&D", + "World/Europe/GBR/A&D", + "World/South Africa/GHA/A&D", + "World/Europe/HRV/A&D", + "World/Asia/IND/A&D", + "World/North Africa/ISR/A&D", + "World/Asia/KOR/A&D", + "World/North Africa/MAR/A&D", + "World/Latam/MEX/A&D", + "World/South Africa/MOZ/A&D", + "World/South Africa/NGA/A&D", + "World/Europe/NLD/A&D", + "World/Persian Gulf/OMN/A&D", + "World/Latam/PAN/A&D", + "World/Europe/POL/A&D", + "World/Persian Gulf/QAT/A&D", + "World/Asia/THA/A&D", + "World/Pair/USA/A&D", + "World/Latam/VEN/A&D", + "World/Asia/VNM/A&D", + "World/Persian Gulf/YEM/A&D", + "World/Persian Gulf/ARE/Agriculture", + "World/Latam/ARG/Agriculture", + "World/Europe/AUT/Agriculture", + "World/Persian Gulf/AZE/Agriculture", + "World/Asia/BGD/Agriculture", + "World/Latam/BRA/Agriculture", + "World/Latam/CHL/Agriculture", + "World/Pair/CHN/Agriculture", + "World/South Africa/CMR/Agriculture", + "World/Latam/COL/Agriculture", + "World/Latam/CRI/Agriculture", + "World/Europe/DEU/Agriculture", + 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Africa/TUR/Agriculture", + "World/Pair/USA/Agriculture", + "World/Latam/VEN/Agriculture", + "World/Asia/VNM/Agriculture", + "World/Persian Gulf/YEM/Agriculture", + "World/South Africa/ZAF/Agriculture", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Europe/AUT/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/Europe/DEU/Demography", + "World/North Africa/DZA/Demography", + "World/North Africa/EGY/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Europe/GRC/Demography", + "World/Europe/HRV/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/Persian Gulf/IRQ/Demography", + 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Africa/EGY/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/GRC/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/South Africa/NGA/Economy", + "World/Europe/NLD/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/South Africa/SEN/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + 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"World/Europe/GRC/Equality", + "World/Europe/HRV/Equality", + "World/Asia/IND/Equality", + "World/North Africa/ISR/Equality", + "World/Asia/KOR/Equality", + "World/North Africa/MAR/Equality", + "World/Latam/MEX/Equality", + "World/South Africa/MOZ/Equality", + "World/South Africa/NGA/Equality", + "World/Europe/NLD/Equality", + "World/Persian Gulf/OMN/Equality", + "World/Latam/PAN/Equality", + "World/Latam/PER/Equality", + "World/Asia/PHL/Equality", + "World/Europe/POL/Equality", + "World/Persian Gulf/QAT/Equality", + "World/Persian Gulf/SAU/Equality", + "World/South Africa/SEN/Equality", + "World/Europe/SWE/Equality", + "World/Asia/THA/Equality", + "World/North Africa/TUR/Equality", + "World/Pair/USA/Equality", + "World/Latam/VEN/Equality", + "World/Asia/VNM/Equality", + "World/Persian Gulf/YEM/Equality", + "World/South Africa/ZAF/Equality", + "World/Persian Gulf/ARE/Exports", + "World/Europe/AUT/Exports", + "World/Persian Gulf/AZE/Exports", + "World/Asia/BGD/Exports", + 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emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth 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equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita 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health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit 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government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric 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US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise imports (current US$)", + "Merchandise imports 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"Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the 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(% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income 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+ "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane 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tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + 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income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current 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"World/Europe/GRC/Agriculture", + "World/Asia/IDN/Agriculture", + "World/Asia/IND/Agriculture", + "World/Asia/KOR/Agriculture", + "World/South Africa/LBR/Agriculture", + "World/North Africa/MAR/Agriculture", + "World/South Africa/MOZ/Agriculture", + "World/Latam/PAN/Agriculture", + "World/Europe/POL/Agriculture", + "World/Europe/SWE/Agriculture", + "World/North Africa/TUR/Agriculture", + "World/Pair/USA/Agriculture", + "World/Persian Gulf/YEM/Agriculture", + "World/Persian Gulf/ARE/Industry", + "World/Latam/ARG/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Pair/CHN/Industry", + "World/South Africa/CMR/Industry", + "World/Latam/COL/Industry", + "World/Latam/CRI/Industry", + "World/Europe/DEU/Industry", + "World/North Africa/DZA/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/FRA/Industry", + "World/South Africa/GHA/Industry", + "World/Europe/HRV/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", + "World/South Africa/LBR/Industry", + "World/North Africa/MAR/Industry", + "World/Latam/MEX/Industry", + "World/South Africa/MOZ/Industry", + "World/South Africa/NGA/Industry", + "World/Latam/PAN/Industry", + "World/Latam/PER/Industry", + "World/Asia/PHL/Industry", + "World/Europe/POL/Industry", + "World/Persian Gulf/SAU/Industry", + "World/South Africa/SEN/Industry", + "World/Asia/THA/Industry", + "World/North Africa/TUR/Industry", + "World/Pair/USA/Industry", + "World/Latam/VEN/Industry", + "World/Asia/VNM/Industry", + "World/Persian Gulf/YEM/Industry", + "World/South Africa/ZAF/Industry", + "World/Persian Gulf/ARE/Mortality", + "World/Asia/BGD/Mortality", + "World/Pair/CHN/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/DZA/Mortality", + "World/North Africa/EGY/Mortality", + "World/South Africa/GHA/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + 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Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/Europe/AUT/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Pair/CHN/Environment", + "World/Latam/CRI/Environment", + "World/Europe/DEU/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/FRA/Environment", + "World/Europe/GBR/Environment", + "World/Europe/GRC/Environment", + "World/Europe/HRV/Environment", + "World/Asia/IND/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/NGA/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Asia/PHL/Environment", + "World/Europe/POL/Environment", + "World/Persian Gulf/SAU/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/Pair/USA/Environment", + 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+ "World/North Africa/EGY/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/GRC/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/South Africa/NGA/Economy", + "World/Europe/NLD/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/South Africa/SEN/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Europe/AUT/Exports", + "World/Asia/BGD/Exports", + "World/Latam/CHL/Exports", + "World/Pair/CHN/Exports", + "World/South Africa/CMR/Exports", + "World/Latam/CRI/Exports", + "World/Europe/DEU/Exports", + "World/North Africa/DZA/Exports", + "World/Europe/ESP/Exports", + "World/Europe/GBR/Exports", + "World/Europe/GRC/Exports", + "World/Europe/HRV/Exports", + "World/Asia/IND/Exports", + "World/North Africa/ISR/Exports", + "World/Asia/KOR/Exports", + "World/North Africa/MAR/Exports", + "World/Latam/MEX/Exports", + "World/South Africa/NGA/Exports", + "World/Europe/NLD/Exports", + "World/Persian Gulf/OMN/Exports", + "World/Latam/PAN/Exports", + "World/Europe/POL/Exports", + "World/Persian Gulf/QAT/Exports", + "World/Persian Gulf/SAU/Exports", + "World/Europe/SWE/Exports", + "World/Asia/THA/Exports", + "World/Pair/USA/Exports", + "World/South Africa/ZAF/Exports", + "World/Persian Gulf/ARE/Imports", + "World/Europe/AUT/Imports", + "World/Persian Gulf/AZE/Imports", 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Gulf/YEM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Mortality", + "World/Latam/ARG/Mortality", + "World/Persian Gulf/AZE/Mortality", + "World/Asia/BGD/Mortality", + "World/Latam/CHL/Mortality", + "World/Pair/CHN/Mortality", + "World/South Africa/CMR/Mortality", + "World/Latam/COL/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/EGY/Mortality", + "World/Europe/ESP/Mortality", + "World/Europe/GBR/Mortality", + "World/South Africa/GHA/Mortality", + "World/Europe/GRC/Mortality", + "World/Europe/HRV/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/ISR/Mortality", + "World/Asia/KOR/Mortality", + "World/South Africa/LBR/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + "World/South Africa/MOZ/Mortality", + "World/South Africa/NGA/Mortality", + "World/Europe/NLD/Mortality", + "World/Latam/PAN/Mortality", + "World/Latam/PER/Mortality", + "World/Asia/PHL/Mortality", + "World/Europe/POL/Mortality", + "World/Persian Gulf/QAT/Mortality", + "World/Persian Gulf/SAU/Mortality", + "World/South Africa/SEN/Mortality", + "World/Asia/THA/Mortality", + "World/North Africa/TUR/Mortality", + "World/Pair/USA/Mortality", + "World/Asia/VNM/Mortality", + "World/Persian Gulf/YEM/Mortality", + "World/Persian Gulf/ARE/Health", + "World/Latam/ARG/Health", + "World/Persian Gulf/AZE/Health", + "World/Asia/BGD/Health", + "World/Latam/CHL/Health", + "World/Pair/CHN/Health", + "World/South Africa/CMR/Health", + "World/Latam/COL/Health", + "World/Latam/CRI/Health", + "World/North Africa/EGY/Health", + "World/Europe/ESP/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/GRC/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/Asia/IND/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/South Africa/LBR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/South Africa/NGA/Health", + "World/Europe/NLD/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Europe/POL/Health", + "World/Persian Gulf/QAT/Health", + "World/Persian Gulf/SAU/Health", + "World/South Africa/SEN/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Pair/USA/Health", + "World/Latam/VEN/Health", + "World/Asia/VNM/Health", + "World/Persian Gulf/YEM/Health", + "World/Persian Gulf/ARE/Industry", + "World/Latam/ARG/Industry", + "World/Europe/AUT/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Latam/BRA/Industry", + "World/Pair/CHN/Industry", + "World/Latam/COL/Industry", + "World/Latam/CRI/Industry", + "World/North Africa/DZA/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/GBR/Industry", + "World/South Africa/GHA/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", 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Africa/DZA/Health", + "World/Europe/ESP/Health", + "World/Europe/FRA/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/Europe/NLD/Health", + "World/Persian Gulf/OMN/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Persian Gulf/QAT/Health", + "World/South Africa/SEN/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Asia/VNM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/Latam/MEX/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Asia/THA/Economy", + "World/Pair/USA/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Persian Gulf/ARE/Mortality", + "World/Latam/ARG/Mortality", + "World/Persian Gulf/AZE/Mortality", + "World/Asia/BGD/Mortality", + "World/Latam/CHL/Mortality", + "World/Pair/CHN/Mortality", + "World/South Africa/CMR/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/DZA/Mortality", + "World/North Africa/EGY/Mortality", + "World/Europe/ESP/Mortality", + "World/Europe/GBR/Mortality", + "World/South Africa/GHA/Mortality", + "World/Europe/HRV/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/ISR/Mortality", + "World/Asia/KOR/Mortality", + "World/South Africa/LBR/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + "World/South Africa/MOZ/Mortality", + "World/South Africa/NGA/Mortality", + "World/Europe/NLD/Mortality", + "World/Latam/PAN/Mortality", + "World/Latam/PER/Mortality", + "World/Asia/PHL/Mortality", + "World/Europe/POL/Mortality", + "World/Persian Gulf/QAT/Mortality", + "World/Persian Gulf/SAU/Mortality", + "World/South Africa/SEN/Mortality", + "World/Asia/THA/Mortality", + "World/North Africa/TUR/Mortality", + "World/Pair/USA/Mortality", + "World/Asia/VNM/Mortality", + "World/Persian Gulf/YEM/Mortality", + "World/Persian Gulf/ARE/Exports", + "World/Europe/AUT/Exports", + "World/Persian Gulf/AZE/Exports", + "World/Asia/BGD/Exports", + "World/Latam/BRA/Exports", + "World/Latam/CHL/Exports", + "World/Pair/CHN/Exports", + "World/Latam/COL/Exports", + "World/Latam/CRI/Exports", + "World/Europe/DEU/Exports", + "World/North Africa/EGY/Exports", + "World/Europe/ESP/Exports", + 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Africa/MOZ/R&D", + "World/South Africa/NGA/R&D", + "World/Latam/PAN/R&D", + "World/Latam/PER/R&D", + "World/Asia/PHL/R&D", + "World/Europe/POL/R&D", + "World/South Africa/SEN/R&D", + "World/Asia/THA/R&D", + "World/North Africa/TUR/R&D", + "World/Latam/VEN/R&D", + "World/Asia/VNM/R&D", + "World/Persian Gulf/YEM/R&D", + "World/South Africa/ZAF/R&D", + "World/Latam/ARG/R&D", + "World/Asia/BGD/R&D", + "World/Latam/CHL/R&D", + "World/South Africa/CMR/R&D", + "World/Latam/COL/R&D", + "World/Latam/CRI/R&D", + "World/North Africa/EGY/R&D", + "World/South Africa/GHA/R&D", + "World/Europe/GRC/R&D", + "World/Asia/IDN/R&D", + "World/Asia/IND/R&D", + "World/North Africa/MAR/R&D", + "World/Latam/MEX/R&D", + "World/South Africa/MOZ/R&D", + "World/South Africa/NGA/R&D", + "World/Latam/PAN/R&D", + "World/Latam/PER/R&D", + "World/Asia/PHL/R&D", + "World/Europe/POL/R&D", + "World/South Africa/SEN/R&D", + "World/North Africa/TUR/R&D", + "World/Latam/VEN/R&D", + "World/Asia/VNM/R&D", + "World/South Africa/ZAF/R&D", + "World/Persian Gulf/ARE/A&D", + "World/Latam/ARG/A&D", + "World/Europe/AUT/A&D", + "World/Persian Gulf/AZE/A&D", + "World/Asia/BGD/A&D", + "World/Latam/BRA/A&D", + "World/Latam/CHL/A&D", + "World/Pair/CHN/A&D", + "World/Latam/CRI/A&D", + "World/North Africa/EGY/A&D", + "World/Europe/GBR/A&D", + "World/South Africa/GHA/A&D", + "World/Europe/HRV/A&D", + "World/Asia/IND/A&D", + "World/North Africa/ISR/A&D", + "World/Asia/KOR/A&D", + "World/North Africa/MAR/A&D", + "World/Latam/MEX/A&D", + "World/South Africa/MOZ/A&D", + "World/South Africa/NGA/A&D", + "World/Europe/NLD/A&D", + "World/Persian Gulf/OMN/A&D", + "World/Latam/PAN/A&D", + "World/Europe/POL/A&D", + "World/Persian Gulf/QAT/A&D", + "World/Asia/THA/A&D", + "World/Pair/USA/A&D", + "World/Latam/VEN/A&D", + "World/Asia/VNM/A&D", + "World/Persian Gulf/YEM/A&D", + "World/Persian Gulf/ARE/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Latam/BRA/Industry", + "World/Latam/CHL/Industry", + "World/Pair/CHN/Industry", + "World/South Africa/CMR/Industry", + "World/Latam/CRI/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/HRV/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", + "World/North Africa/MAR/Industry", + "World/Latam/MEX/Industry", + "World/South Africa/MOZ/Industry", + "World/South Africa/NGA/Industry", + "World/Persian Gulf/OMN/Industry", + "World/Asia/PHL/Industry", + "World/Europe/POL/Industry", + "World/Persian Gulf/SAU/Industry", + "World/Asia/THA/Industry", + "World/Asia/VNM/Industry", + "World/Persian Gulf/ARE/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Latam/CHL/Environment", + "World/Pair/CHN/Environment", + "World/Latam/CRI/Environment", + "World/North Africa/DZA/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/GBR/Environment", + "World/Europe/HRV/Environment", + "World/Asia/IND/Environment", + "World/Persian Gulf/IRQ/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/North Africa/MAR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/MOZ/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Asia/PHL/Environment", + "World/Persian Gulf/QAT/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/North Africa/TUR/Environment", + "World/Pair/USA/Environment", + "World/Asia/VNM/Environment", + "World/Persian Gulf/YEM/Environment", + "World/South Africa/ZAF/Environment", + "World/Persian Gulf/ARE/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Latam/BRA/Environment", + "World/Latam/CHL/Environment", + "World/Pair/CHN/Environment", + "World/South Africa/CMR/Environment", + "World/Latam/COL/Environment", + "World/Latam/CRI/Environment", + "World/Europe/DEU/Environment", + "World/North Africa/DZA/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/GBR/Environment", + "World/South Africa/GHA/Environment", + "World/Europe/GRC/Environment", + "World/Asia/IDN/Environment", + "World/Asia/IND/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/South Africa/LBR/Environment", + "World/North Africa/MAR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/MOZ/Environment", + "World/South Africa/NGA/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Latam/PER/Environment", + "World/Asia/PHL/Environment", + "World/Persian Gulf/QAT/Environment", + "World/Persian Gulf/SAU/Environment", + "World/South Africa/SEN/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/North Africa/TUR/Environment", + "World/Asia/VNM/Environment", + "World/South Africa/ZAF/Environment", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/BRA/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/Latam/CRI/Economy", + "World/North Africa/DZA/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/BRA/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/Latam/CRI/Economy", + "World/North Africa/DZA/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Latam/ARG/Health", + "World/Europe/AUT/Health", + "World/Persian Gulf/AZE/Health", + "World/Asia/BGD/Health", + "World/Latam/BRA/Health", + "World/Latam/CHL/Health", + "World/Pair/CHN/Health", + "World/South Africa/CMR/Health", + "World/Latam/COL/Health", + "World/Latam/CRI/Health", + "World/Europe/DEU/Health", + "World/North Africa/DZA/Health", + "World/North Africa/EGY/Health", + "World/Europe/ESP/Health", + "World/Europe/FRA/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/GRC/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/Asia/IND/Health", + "World/Persian Gulf/IRQ/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/South Africa/LBR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/South Africa/NGA/Health", + "World/Europe/NLD/Health", + "World/Persian Gulf/OMN/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Europe/POL/Health", + "World/Persian Gulf/QAT/Health", + "World/South Africa/SEN/Health", + "World/Europe/SWE/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Pair/USA/Health", + "World/Latam/VEN/Health", + "World/Asia/VNM/Health", + "World/Persian Gulf/YEM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/North Africa/DZA/Demography", + "World/North Africa/EGY/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/North Africa/ISR/Demography", + "World/Asia/KOR/Demography", + "World/South Africa/LBR/Demography", + "World/North Africa/MAR/Demography", + "World/Latam/MEX/Demography", + "World/South Africa/MOZ/Demography", + "World/South Africa/NGA/Demography", + "World/Europe/NLD/Demography", + "World/Persian Gulf/OMN/Demography", + "World/Latam/PAN/Demography", + "World/Latam/PER/Demography", + "World/Asia/PHL/Demography", + "World/Europe/POL/Demography", + "World/Persian Gulf/QAT/Demography", + "World/Persian Gulf/SAU/Demography", + "World/South Africa/SEN/Demography", + "World/Asia/THA/Demography", + "World/North Africa/TUR/Demography", + "World/Pair/USA/Demography", + "World/Latam/VEN/Demography", + "World/Asia/VNM/Demography", + "World/Persian Gulf/YEM/Demography", + "World/South Africa/ZAF/Demography", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/Europe/DEU/Demography", + "World/North Africa/DZA/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Europe/GRC/Demography", + "World/Europe/HRV/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/Persian Gulf/IRQ/Demography", + "World/North Africa/ISR/Demography", + "World/South Africa/LBR/Demography", + "World/North Africa/MAR/Demography", + "World/Latam/MEX/Demography", + "World/South Africa/MOZ/Demography", + "World/South Africa/NGA/Demography", + "World/Europe/NLD/Demography", + "World/Persian Gulf/OMN/Demography", + "World/Latam/PAN/Demography", + "World/Latam/PER/Demography", + "World/Europe/POL/Demography", + "World/Persian Gulf/QAT/Demography", + "World/Persian Gulf/SAU/Demography", + "World/South Africa/SEN/Demography", + "World/Asia/THA/Demography", + "World/North Africa/TUR/Demography", + "World/Pair/USA/Demography", + "World/Latam/VEN/Demography", + "World/Asia/VNM/Demography", + "World/Persian Gulf/YEM/Demography", + "World/South Africa/ZAF/Demography", + "World/Europe/AUT/Equality", + "World/Persian Gulf/AZE/Equality", + "World/Asia/BGD/Equality", + "World/Latam/CHL/Equality", + "World/Pair/CHN/Equality", + "World/Latam/COL/Equality", + "World/Latam/CRI/Equality", + "World/Europe/DEU/Equality", + "World/North Africa/DZA/Equality", + "World/North Africa/EGY/Equality", + "World/Europe/GBR/Equality", + "World/South Africa/GHA/Equality", + "World/Europe/HRV/Equality", + "World/Asia/IND/Equality", + "World/North Africa/ISR/Equality", + "World/Asia/KOR/Equality", + "World/North Africa/MAR/Equality", + "World/Latam/MEX/Equality", + "World/South Africa/MOZ/Equality", + "World/South Africa/NGA/Equality", + "World/Europe/NLD/Equality", + "World/Latam/PAN/Equality", + "World/Latam/PER/Equality", + "World/Asia/PHL/Equality", + "World/Europe/POL/Equality", + "World/Persian Gulf/SAU/Equality", + "World/Europe/SWE/Equality", + "World/Asia/THA/Equality", + "World/North Africa/TUR/Equality", + "World/Latam/VEN/Equality", + "World/Asia/VNM/Equality", + "World/Persian Gulf/YEM/Equality", + "World/South Africa/ZAF/Equality", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/Latam/CRI", + "World/North Africa/EGY", + "World/Europe/GBR", + "World/South Africa/GHA", + "World/Europe/HRV", + "World/Asia/IND", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Asia/THA", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/Europe/DEU", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/Europe/ESP", + "World/Europe/FRA", + "World/South Africa/GHA", + "World/Europe/GRC", + "World/Europe/HRV", + "World/Asia/IDN", + "World/Asia/IND", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Persian Gulf/SAU", + "World/South Africa/SEN", + "World/Europe/SWE", + "World/Asia/THA", + "World/North Africa/TUR", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/South Africa/ZAF", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/Europe/DEU", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/Europe/ESP", + "World/Europe/FRA", + "World/Europe/GBR", + "World/South Africa/GHA", + "World/Europe/GRC", + "World/Europe/HRV", + "World/Asia/IDN", + "World/Asia/IND", + "World/Persian Gulf/IRQ", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Persian Gulf/SAU", + "World/South Africa/SEN", + "World/Europe/SWE", + "World/Asia/THA", + "World/North Africa/TUR", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/South Africa/ZAF", + "World/Latam/ARG", + "World/Asia/BGD", + "World/Latam/BRA", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/South Africa/GHA", + "World/Asia/IND", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/North Africa/TUR", + 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"World/Asia/PHL/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/South Africa/SEN/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Asia/THA/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/North Africa/TUR/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Asia/VNM/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Persian Gulf/YEM/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/South Africa/ZAF/Internet/Access to clean fuels and technologies for cooking (% of population)", + "World/Persian Gulf/AZE/Environment/Access to electricity (% of population)", + "World/Asia/BGD/Environment/Access to electricity (% of population)", + "World/Latam/BRA/Environment/Access to electricity (% of population)", + "World/Latam/CHL/Environment/Access to electricity (% of population)", + "World/Pair/CHN/Environment/Access to electricity (% of population)", + "World/South Africa/CMR/Environment/Access to electricity (% of population)", + "World/Latam/COL/Environment/Access to electricity (% of population)", + "World/Latam/CRI/Environment/Access to electricity (% of population)", + "World/North Africa/EGY/Environment/Access to electricity (% of population)", + "World/South Africa/GHA/Environment/Access to electricity (% of population)", + "World/Asia/IDN/Environment/Access to electricity (% of population)", + "World/Asia/IND/Environment/Access to electricity (% of population)", + "World/Persian Gulf/IRQ/Environment/Access to electricity (% of population)", + "World/South Africa/LBR/Environment/Access to electricity (% of population)", + "World/North Africa/MAR/Environment/Access to electricity (% of population)", + "World/Latam/MEX/Environment/Access to electricity (% of population)", + "World/South Africa/MOZ/Environment/Access to electricity (% of population)", + "World/South Africa/NGA/Environment/Access to electricity (% of population)", + "World/Latam/PAN/Environment/Access to electricity (% of population)", + "World/Latam/PER/Environment/Access to electricity (% of population)", + "World/Asia/PHL/Environment/Access to electricity (% of population)", + "World/South Africa/SEN/Environment/Access to electricity (% of population)", + "World/Asia/THA/Environment/Access to electricity (% of population)", + "World/Asia/VNM/Environment/Access to electricity (% of population)", + "World/Persian Gulf/YEM/Environment/Access to electricity (% of population)", + "World/South Africa/ZAF/Environment/Access to electricity (% of population)", + "World/Persian Gulf/ARE/Economy/Adjusted net national income (current US$)", + "World/Latam/ARG/Economy/Adjusted net national income (current US$)", + "World/Europe/AUT/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted net national income (current US$)", + "World/Asia/BGD/Economy/Adjusted net national income (current US$)", + "World/Latam/BRA/Economy/Adjusted net national income (current US$)", + "World/Latam/CHL/Economy/Adjusted net national income (current US$)", + "World/Pair/CHN/Economy/Adjusted net national income (current US$)", + "World/South Africa/CMR/Economy/Adjusted net national income (current US$)", + "World/Latam/COL/Economy/Adjusted net national income (current US$)", + "World/Latam/CRI/Economy/Adjusted net national income (current US$)", + "World/Europe/DEU/Economy/Adjusted net national income (current US$)", + "World/North Africa/DZA/Economy/Adjusted net national income (current US$)", + "World/North Africa/EGY/Economy/Adjusted net national income (current US$)", + "World/Europe/ESP/Economy/Adjusted net national income (current US$)", + "World/Europe/FRA/Economy/Adjusted net national income (current US$)", + "World/Europe/GBR/Economy/Adjusted net national income (current US$)", + "World/South Africa/GHA/Economy/Adjusted net national income (current US$)", + "World/Europe/HRV/Economy/Adjusted net national income (current US$)", + "World/Asia/IDN/Economy/Adjusted net national income (current US$)", + "World/Asia/IND/Economy/Adjusted net national income (current US$)", + "World/North Africa/ISR/Economy/Adjusted net national income (current US$)", + "World/Asia/KOR/Economy/Adjusted net national income (current US$)", + "World/South Africa/LBR/Economy/Adjusted net national income (current US$)", + "World/North Africa/MAR/Economy/Adjusted net national income (current US$)", + "World/Latam/MEX/Economy/Adjusted net national income (current US$)", + "World/South Africa/MOZ/Economy/Adjusted net national income (current US$)", + "World/South Africa/NGA/Economy/Adjusted net national income (current US$)", + "World/Europe/NLD/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted net national income (current US$)", + "World/Latam/PAN/Economy/Adjusted net national income (current US$)", + "World/Latam/PER/Economy/Adjusted net national income (current US$)", + "World/Asia/PHL/Economy/Adjusted net national income (current US$)", + "World/Europe/POL/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted net national income (current US$)", + "World/South Africa/SEN/Economy/Adjusted net national income (current US$)", + "World/Europe/SWE/Economy/Adjusted net national income (current US$)", + "World/Asia/THA/Economy/Adjusted net national income (current US$)", + "World/North Africa/TUR/Economy/Adjusted net national income (current US$)", + "World/Pair/USA/Economy/Adjusted net national income (current US$)", + "World/Latam/VEN/Economy/Adjusted net national income (current US$)", + "World/Asia/VNM/Economy/Adjusted net national income (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted net national income (current US$)", + "World/South Africa/ZAF/Economy/Adjusted net national income (current US$)", + "World/Latam/ARG/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/AUT/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/BGD/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/BRA/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/CHL/Economy/Adjusted net national income per capita (current US$)", + "World/Pair/CHN/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/CMR/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/COL/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/CRI/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/DEU/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/DZA/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/EGY/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/ESP/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/FRA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/GBR/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/GHA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/HRV/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/IDN/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/IND/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/IRQ/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/ISR/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/KOR/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/MAR/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/MEX/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/MOZ/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/NGA/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/NLD/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/PAN/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/PER/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/PHL/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/POL/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/SEN/Economy/Adjusted net national income per capita (current US$)", + "World/Europe/SWE/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/THA/Economy/Adjusted net national income per capita (current US$)", + "World/North Africa/TUR/Economy/Adjusted net national income per capita (current US$)", + "World/Pair/USA/Economy/Adjusted net national income per capita (current US$)", + "World/Latam/VEN/Economy/Adjusted net national income per capita (current US$)", + "World/Asia/VNM/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted net national income per capita (current US$)", + "World/South Africa/ZAF/Economy/Adjusted net national income per capita (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/COL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/IND/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/PER/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Europe/POL/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/THA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Pair/USA/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: carbon dioxide damage (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/COL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/ESP/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/HRV/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/IND/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/PER/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/POL/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Europe/SWE/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/THA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Pair/USA/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: consumption of fixed capital (current US$)", + "World/Latam/ARG/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/BRA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/COL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/ESP/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/HRV/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/IND/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/MEX/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/PER/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/POL/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Europe/SWE/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/THA/Economy/Adjusted savings: education expenditure (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: education expenditure (current US$)", + "World/Pair/USA/Economy/Adjusted savings: education expenditure (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: education expenditure (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: education expenditure (current US$)", + "World/South Africa/ZAF/Economy/Adjusted savings: education expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: net national savings (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/DEU/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/DZA/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/IND/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: net national savings (current US$)", + "World/South Africa/LBR/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/NLD/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: net national savings (current US$)", + "World/Latam/PER/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: net national savings (current US$)", + "World/Europe/POL/Economy/Adjusted savings: net national savings (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: net national savings (current US$)", + "World/South Africa/SEN/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/THA/Economy/Adjusted savings: net national savings (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: net national savings (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: net national savings (current US$)", + "World/Persian Gulf/ARE/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/AUT/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/BGD/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/CHL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Pair/CHN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/CMR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/COL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/CRI/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/EGY/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/FRA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/GBR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/GHA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Europe/GRC/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/IDN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/IND/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/ISR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/KOR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/MAR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/MOZ/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/South Africa/NGA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/PAN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/PHL/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/QAT/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/SAU/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/THA/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/North Africa/TUR/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Latam/VEN/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Asia/VNM/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/YEM/Economy/Adjusted savings: particulate emission damage (current US$)", + "World/Persian Gulf/ARE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/ARG/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/AUT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/AZE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/BGD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/BRA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/CHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Pair/CHN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/CMR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/COL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/CRI/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/DEU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/EGY/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/GBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/GHA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/GRC/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/HRV/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/IND/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/ISR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/KOR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/LBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/MAR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/MEX/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/MOZ/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/NGA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/NLD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/OMN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/PAN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/PER/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/PHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/POL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/QAT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/SAU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/South Africa/SEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/SWE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/North Africa/TUR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Pair/USA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Latam/VEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Asia/VNM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Persian Gulf/YEM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", + "World/Europe/AUT/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Agricultural land (% of land area)", + "World/Asia/BGD/Agriculture/Agricultural land (% of land area)", + "World/Latam/BRA/Agriculture/Agricultural land (% of land area)", + "World/Pair/CHN/Agriculture/Agricultural land (% of land area)", + "World/South Africa/CMR/Agriculture/Agricultural land (% of land area)", + "World/Latam/CRI/Agriculture/Agricultural land (% of land area)", + "World/Europe/DEU/Agriculture/Agricultural land (% of land area)", + "World/North Africa/DZA/Agriculture/Agricultural land (% of land area)", + "World/North Africa/EGY/Agriculture/Agricultural land (% of land area)", + "World/Europe/ESP/Agriculture/Agricultural land (% of land area)", + "World/Europe/FRA/Agriculture/Agricultural land (% of land area)", + "World/Europe/GRC/Agriculture/Agricultural land (% of land area)", + "World/Asia/IDN/Agriculture/Agricultural land (% of land area)", + "World/Asia/IND/Agriculture/Agricultural land (% of land area)", + "World/North Africa/ISR/Agriculture/Agricultural land (% of land area)", + "World/Asia/KOR/Agriculture/Agricultural land (% of land area)", + "World/South Africa/LBR/Agriculture/Agricultural land (% of land area)", + "World/South Africa/MOZ/Agriculture/Agricultural land (% of land area)", + "World/South Africa/NGA/Agriculture/Agricultural land (% of land area)", + "World/Europe/NLD/Agriculture/Agricultural land (% of land area)", + "World/Latam/PAN/Agriculture/Agricultural land (% of land area)", + "World/Asia/PHL/Agriculture/Agricultural land (% of land area)", + "World/Europe/POL/Agriculture/Agricultural land (% of land area)", + "World/Europe/SWE/Agriculture/Agricultural land (% of land area)", + "World/North Africa/TUR/Agriculture/Agricultural land (% of land area)", + "World/Pair/USA/Agriculture/Agricultural land (% of land area)", + "World/Latam/VEN/Agriculture/Agricultural land (% of land area)", + "World/Asia/VNM/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Agricultural land (% of land area)", + "World/Persian Gulf/ARE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/AUT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/HRV/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/MEX/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/SAU/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/TUR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/BRA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/NLD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/USA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/AUT/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/BRA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/CHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/COL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/DZA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/EGY/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/GRC/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/HRV/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/IDN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/KOR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/MAR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/MEX/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/PHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Europe/POL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/THA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/North Africa/TUR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Pair/USA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Latam/VEN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/VNM/Agriculture/Agricultural raw materials imports (% of merchandise imports)", + "World/Asia/BGD/Agriculture/Aquaculture production (metric tons)", + "World/Latam/BRA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/CHL/Agriculture/Aquaculture production (metric tons)", + "World/Pair/CHN/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/CMR/Agriculture/Aquaculture production (metric tons)", + "World/Latam/COL/Agriculture/Aquaculture production (metric tons)", + "World/Latam/CRI/Agriculture/Aquaculture production (metric tons)", + "World/North Africa/EGY/Agriculture/Aquaculture production (metric tons)", + "World/Europe/FRA/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/GHA/Agriculture/Aquaculture production (metric tons)", + "World/Asia/IDN/Agriculture/Aquaculture production (metric tons)", + "World/Asia/IND/Agriculture/Aquaculture production (metric tons)", + "World/Asia/KOR/Agriculture/Aquaculture production (metric tons)", + "World/Latam/MEX/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/NGA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/PER/Agriculture/Aquaculture production (metric tons)", + "World/Asia/PHL/Agriculture/Aquaculture production (metric tons)", + "World/Europe/POL/Agriculture/Aquaculture production (metric tons)", + "World/Persian Gulf/SAU/Agriculture/Aquaculture production (metric tons)", + "World/North Africa/TUR/Agriculture/Aquaculture production (metric tons)", + "World/Pair/USA/Agriculture/Aquaculture production (metric tons)", + "World/Latam/VEN/Agriculture/Aquaculture production (metric tons)", + "World/Asia/VNM/Agriculture/Aquaculture production (metric tons)", + "World/South Africa/ZAF/Agriculture/Aquaculture production (metric tons)", + "World/Europe/AUT/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Arable land (% of land area)", + "World/Asia/BGD/Agriculture/Arable land (% of land area)", + "World/Latam/BRA/Agriculture/Arable land (% of land area)", + "World/Latam/CHL/Agriculture/Arable land (% of land area)", + "World/Pair/CHN/Agriculture/Arable land (% of land area)", + "World/South Africa/CMR/Agriculture/Arable land (% of land area)", + "World/Latam/COL/Agriculture/Arable land (% of land area)", + "World/Latam/CRI/Agriculture/Arable land (% of land area)", + "World/South Africa/GHA/Agriculture/Arable land (% of land area)", + "World/Europe/GRC/Agriculture/Arable land (% of land area)", + "World/Asia/IDN/Agriculture/Arable land (% of land area)", + "World/Asia/IND/Agriculture/Arable land (% of land area)", + "World/Asia/KOR/Agriculture/Arable land (% of land area)", + "World/South Africa/LBR/Agriculture/Arable land (% of land area)", + "World/North Africa/MAR/Agriculture/Arable land (% of land area)", + "World/South Africa/MOZ/Agriculture/Arable land (% of land area)", + "World/Latam/PAN/Agriculture/Arable land (% of land area)", + "World/Europe/POL/Agriculture/Arable land (% of land area)", + "World/Europe/SWE/Agriculture/Arable land (% of land area)", + "World/North Africa/TUR/Agriculture/Arable land (% of land area)", + "World/Pair/USA/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Arable land (% of land area)", + "World/Persian Gulf/ARE/Agriculture/Arable land (hectares per person)", + "World/Latam/ARG/Agriculture/Arable land (hectares per person)", + "World/Europe/AUT/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/AZE/Agriculture/Arable land (hectares per person)", + "World/Asia/BGD/Agriculture/Arable land (hectares per person)", + "World/Latam/CHL/Agriculture/Arable land (hectares per person)", + "World/Pair/CHN/Agriculture/Arable land (hectares per person)", + "World/South Africa/CMR/Agriculture/Arable land (hectares per person)", + "World/Latam/COL/Agriculture/Arable land (hectares per person)", + "World/North Africa/DZA/Agriculture/Arable land (hectares per person)", + "World/North Africa/EGY/Agriculture/Arable land (hectares per person)", + "World/Europe/ESP/Agriculture/Arable land (hectares per person)", + "World/Europe/FRA/Agriculture/Arable land (hectares per person)", + "World/South Africa/GHA/Agriculture/Arable land (hectares per person)", + "World/Europe/GRC/Agriculture/Arable land (hectares per person)", + "World/Asia/IND/Agriculture/Arable land (hectares per person)", + "World/Asia/KOR/Agriculture/Arable land (hectares per person)", + "World/South Africa/LBR/Agriculture/Arable land (hectares per person)", + "World/North Africa/MAR/Agriculture/Arable land (hectares per person)", + "World/Latam/MEX/Agriculture/Arable land (hectares per person)", + "World/South Africa/MOZ/Agriculture/Arable land (hectares per person)", + "World/South Africa/NGA/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/OMN/Agriculture/Arable land (hectares per person)", + "World/Latam/PAN/Agriculture/Arable land (hectares per person)", + "World/Latam/PER/Agriculture/Arable land (hectares per person)", + "World/Asia/PHL/Agriculture/Arable land (hectares per person)", + "World/Europe/POL/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/QAT/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/SAU/Agriculture/Arable land (hectares per person)", + "World/Europe/SWE/Agriculture/Arable land (hectares per person)", + "World/North Africa/TUR/Agriculture/Arable land (hectares per person)", + "World/Pair/USA/Agriculture/Arable land (hectares per person)", + "World/Latam/VEN/Agriculture/Arable land (hectares per person)", + "World/Persian Gulf/YEM/Agriculture/Arable land (hectares per person)", + "World/South Africa/ZAF/Agriculture/Arable land (hectares per person)", + "World/Europe/AUT/Agriculture/Arable land (hectares)", + "World/Persian Gulf/AZE/Agriculture/Arable land (hectares)", + "World/Asia/BGD/Agriculture/Arable land (hectares)", + "World/Latam/BRA/Agriculture/Arable land (hectares)", + "World/Latam/CHL/Agriculture/Arable land (hectares)", + "World/Pair/CHN/Agriculture/Arable land (hectares)", + "World/South Africa/CMR/Agriculture/Arable land (hectares)", + "World/Latam/COL/Agriculture/Arable land (hectares)", + "World/Latam/CRI/Agriculture/Arable land (hectares)", + "World/South Africa/GHA/Agriculture/Arable land (hectares)", + "World/Europe/GRC/Agriculture/Arable land (hectares)", + "World/Asia/IDN/Agriculture/Arable land (hectares)", + "World/Asia/IND/Agriculture/Arable land (hectares)", + "World/Asia/KOR/Agriculture/Arable land (hectares)", + "World/South Africa/LBR/Agriculture/Arable land (hectares)", + "World/North Africa/MAR/Agriculture/Arable land (hectares)", + "World/South Africa/MOZ/Agriculture/Arable land (hectares)", + "World/Latam/PAN/Agriculture/Arable land (hectares)", + "World/Europe/POL/Agriculture/Arable land (hectares)", + "World/Europe/SWE/Agriculture/Arable land (hectares)", + "World/North Africa/TUR/Agriculture/Arable land (hectares)", + "World/Pair/USA/Agriculture/Arable land (hectares)", + "World/Persian Gulf/YEM/Agriculture/Arable land (hectares)", + "World/Persian Gulf/ARE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/ARG/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/AZE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/BGD/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Pair/CHN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/CMR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/COL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/CRI/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/DEU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/DZA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/EGY/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/FRA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/GHA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/HRV/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/IDN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/IND/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/ISR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/LBR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/MAR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/MEX/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/MOZ/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/NGA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/PAN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/PER/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/PHL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Europe/POL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/SAU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/SEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/THA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/North Africa/TUR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Pair/USA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Latam/VEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Asia/VNM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/YEM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/South Africa/ZAF/Industry/Automated teller machines (ATMs) (per 100,000 adults)", + "World/Persian Gulf/ARE/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/BGD/Mortality/Births attended by skilled health staff (% of total)", + "World/Pair/CHN/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/CRI/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/DZA/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/EGY/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/GHA/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/IDN/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/IND/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/MAR/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/MEX/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/MOZ/Mortality/Births attended by skilled health staff (% of total)", + "World/Latam/PER/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/PHL/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/SAU/Mortality/Births attended by skilled health staff (% of total)", + "World/North Africa/TUR/Mortality/Births attended by skilled health staff (% of total)", + "World/Pair/USA/Mortality/Births attended by skilled health staff (% of total)", + "World/Asia/VNM/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/YEM/Mortality/Births attended by skilled health staff (% of total)", + "World/South Africa/ZAF/Mortality/Births attended by skilled health staff (% of total)", + "World/Persian Gulf/ARE/Economy/Broad money (% of GDP)", + "World/Latam/ARG/Economy/Broad money (% of GDP)", + "World/Persian Gulf/AZE/Economy/Broad money (% of GDP)", + "World/Asia/BGD/Economy/Broad money (% of GDP)", + "World/Latam/BRA/Economy/Broad money (% of GDP)", + "World/Pair/CHN/Economy/Broad money (% of GDP)", + "World/South Africa/CMR/Economy/Broad money (% of GDP)", + "World/North Africa/DZA/Economy/Broad money (% of GDP)", + "World/Europe/GBR/Economy/Broad money (% of GDP)", + "World/Europe/HRV/Economy/Broad money (% of GDP)", + "World/Asia/IND/Economy/Broad money (% of GDP)", + "World/North Africa/ISR/Economy/Broad money (% of GDP)", + "World/Asia/KOR/Economy/Broad money (% of GDP)", + "World/North Africa/MAR/Economy/Broad money (% of GDP)", + "World/Latam/MEX/Economy/Broad money (% of GDP)", + "World/South Africa/MOZ/Economy/Broad money (% of GDP)", + "World/Latam/PER/Economy/Broad money (% of GDP)", + "World/Asia/PHL/Economy/Broad money (% of GDP)", + "World/Europe/POL/Economy/Broad money (% of GDP)", + "World/Persian Gulf/QAT/Economy/Broad money (% of GDP)", + "World/South Africa/SEN/Economy/Broad money (% of GDP)", + "World/North Africa/TUR/Economy/Broad money (% of GDP)", + "World/Pair/USA/Economy/Broad money (% of GDP)", + "World/Latam/VEN/Economy/Broad money (% of GDP)", + "World/Asia/VNM/Economy/Broad money (% of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/PHL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Asia/VNM/Environment/CO2 emissions (kg per 2015 US$ of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/PHL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Asia/VNM/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", + "World/Latam/ARG/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/AUT/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/BGD/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/BRA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/CHL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Pair/CHN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/COL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/CRI/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/DEU/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/EGY/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/ESP/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/FRA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/GBR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/GRC/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/HRV/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/IDN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/IND/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/ISR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/KOR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/MAR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/MEX/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/South Africa/NGA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/NLD/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/PAN/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Latam/PER/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/POL/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Europe/SWE/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Asia/THA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/North Africa/TUR/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Pair/USA/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/South Africa/ZAF/Environment/CO2 emissions (kg per PPP $ of GDP)", + "World/Persian Gulf/ARE/Environment/CO2 emissions (kt)", + "World/Latam/ARG/Environment/CO2 emissions (kt)", + "World/Asia/BGD/Environment/CO2 emissions (kt)", + "World/Latam/BRA/Environment/CO2 emissions (kt)", + "World/Latam/CHL/Environment/CO2 emissions (kt)", + "World/Pair/CHN/Environment/CO2 emissions (kt)", + "World/Latam/COL/Environment/CO2 emissions (kt)", + "World/Latam/CRI/Environment/CO2 emissions (kt)", + "World/Europe/DEU/Environment/CO2 emissions (kt)", + "World/North Africa/DZA/Environment/CO2 emissions (kt)", + "World/North Africa/EGY/Environment/CO2 emissions (kt)", + "World/Europe/GBR/Environment/CO2 emissions (kt)", + "World/South Africa/GHA/Environment/CO2 emissions (kt)", + "World/Asia/IDN/Environment/CO2 emissions (kt)", + "World/Asia/IND/Environment/CO2 emissions (kt)", + "World/Asia/KOR/Environment/CO2 emissions (kt)", + "World/South Africa/LBR/Environment/CO2 emissions (kt)", + "World/North Africa/MAR/Environment/CO2 emissions (kt)", + "World/Latam/MEX/Environment/CO2 emissions (kt)", + "World/South Africa/MOZ/Environment/CO2 emissions (kt)", + "World/South Africa/NGA/Environment/CO2 emissions (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (kt)", + "World/Latam/PAN/Environment/CO2 emissions (kt)", + "World/Latam/PER/Environment/CO2 emissions (kt)", + "World/Asia/PHL/Environment/CO2 emissions (kt)", + "World/Persian Gulf/QAT/Environment/CO2 emissions (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (kt)", + "World/South Africa/SEN/Environment/CO2 emissions (kt)", + "World/Europe/SWE/Environment/CO2 emissions (kt)", + "World/Asia/THA/Environment/CO2 emissions (kt)", + "World/North Africa/TUR/Environment/CO2 emissions (kt)", + "World/Asia/VNM/Environment/CO2 emissions (kt)", + "World/South Africa/ZAF/Environment/CO2 emissions (kt)", + "World/Asia/BGD/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/BRA/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/CHL/Environment/CO2 emissions (metric tons per capita)", + "World/Pair/CHN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/CRI/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/DEU/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/DZA/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/EGY/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/GBR/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/GHA/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/GRC/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/IDN/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/IND/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/ISR/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/KOR/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/MAR/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/MOZ/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/NLD/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/OMN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/PAN/Environment/CO2 emissions (metric tons per capita)", + "World/Latam/PER/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/PHL/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/SAU/Environment/CO2 emissions (metric tons per capita)", + "World/South Africa/SEN/Environment/CO2 emissions (metric tons per capita)", + "World/Europe/SWE/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/THA/Environment/CO2 emissions (metric tons per capita)", + "World/North Africa/TUR/Environment/CO2 emissions (metric tons per capita)", + "World/Pair/USA/Environment/CO2 emissions (metric tons per capita)", + "World/Asia/VNM/Environment/CO2 emissions (metric tons per capita)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/ARG/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/AZE/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/BGD/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/BRA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Pair/CHN/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/COL/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/DZA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/EGY/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/ESP/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/IND/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/ISR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/KOR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/MAR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/MEX/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/South Africa/NGA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/NLD/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Latam/PER/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Europe/POL/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/QAT/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/THA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/North Africa/TUR/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Pair/USA/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Asia/VNM/Environment/CO2 emissions from gaseous fuel consumption (kt)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/BGD/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/BRA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/CHL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Pair/CHN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/CMR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/CRI/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/DZA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/EGY/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/GBR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/GHA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/IDN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/IND/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/North Africa/MAR/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/South Africa/MOZ/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/NLD/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/PAN/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Latam/PER/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/PHL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Europe/POL/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/THA/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Asia/VNM/Environment/CO2 emissions from liquid fuel consumption (kt)", + "World/Persian Gulf/ARE/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Europe/AUT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/BGD/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/BRA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/CHL/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Pair/CHN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/CMR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/IDN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/IND/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/KOR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/North Africa/MAR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Latam/MEX/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/NGA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/OMN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/QAT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/SAU/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/South Africa/SEN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Asia/VNM/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "World/Persian Gulf/ARE/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/AZE/Industry/Capture fisheries production (metric tons)", + "World/Asia/BGD/Industry/Capture fisheries production (metric tons)", + "World/Latam/CHL/Industry/Capture fisheries production (metric tons)", + "World/South Africa/CMR/Industry/Capture fisheries production (metric tons)", + "World/Latam/CRI/Industry/Capture fisheries production (metric tons)", + "World/Europe/GRC/Industry/Capture fisheries production (metric tons)", + "World/Europe/HRV/Industry/Capture fisheries production (metric tons)", + "World/Asia/IDN/Industry/Capture fisheries production (metric tons)", + "World/Asia/IND/Industry/Capture fisheries production (metric tons)", + "World/North Africa/ISR/Industry/Capture fisheries production (metric tons)", + "World/North Africa/MAR/Industry/Capture fisheries production (metric tons)", + "World/South Africa/MOZ/Industry/Capture fisheries production (metric tons)", + "World/South Africa/NGA/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/OMN/Industry/Capture fisheries production (metric tons)", + "World/Asia/PHL/Industry/Capture fisheries production (metric tons)", + "World/Persian Gulf/SAU/Industry/Capture fisheries production (metric tons)", + "World/Asia/THA/Industry/Capture fisheries production (metric tons)", + "World/Asia/VNM/Industry/Capture fisheries production (metric tons)", + "World/Asia/BGD/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/BRA/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/CHL/Agriculture/Cereal yield (kg per hectare)", + "World/Pair/CHN/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/COL/Agriculture/Cereal yield (kg per hectare)", + "World/South Africa/GHA/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/IDN/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/IND/Agriculture/Cereal yield (kg per hectare)", + "World/North Africa/ISR/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/MEX/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/PAN/Agriculture/Cereal yield (kg per hectare)", + "World/Latam/PER/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/PHL/Agriculture/Cereal yield (kg per hectare)", + "World/Persian Gulf/QAT/Agriculture/Cereal yield (kg per hectare)", + "World/Persian Gulf/SAU/Agriculture/Cereal yield (kg per hectare)", + "World/North Africa/TUR/Agriculture/Cereal yield (kg per hectare)", + "World/Pair/USA/Agriculture/Cereal yield (kg per hectare)", + "World/Asia/VNM/Agriculture/Cereal yield (kg per hectare)", + "World/Europe/AUT/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/AZE/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/BGD/Environment/Combustible renewables and waste (% of total energy)", + "World/Pair/CHN/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/COL/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/DEU/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/DZA/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/GBR/Environment/Combustible renewables and waste (% of total energy)", + "World/South Africa/GHA/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/IDN/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/IND/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/KOR/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/MAR/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/MEX/Environment/Combustible renewables and waste (% of total energy)", + "World/South Africa/MOZ/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/NLD/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/PAN/Environment/Combustible renewables and waste (% of total energy)", + "World/Latam/PER/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/PHL/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/POL/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/SAU/Environment/Combustible renewables and waste (% of total energy)", + "World/Europe/SWE/Environment/Combustible renewables and waste (% of total energy)", + "World/North Africa/TUR/Environment/Combustible renewables and waste (% of total energy)", + "World/Pair/USA/Environment/Combustible renewables and waste (% of total energy)", + "World/Asia/VNM/Environment/Combustible renewables and waste (% of total energy)", + "World/Persian Gulf/ARE/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/BGD/Economy/Commercial bank branches (per 100,000 adults)", + "World/Pair/CHN/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/CMR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Latam/CRI/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/DEU/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/DZA/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/EGY/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/FRA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/GBR/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/GHA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/IDN/Economy/Commercial bank branches (per 100,000 adults)", + "World/Asia/IND/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/ISR/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/MAR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Latam/MEX/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/MOZ/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/NLD/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/OMN/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/POL/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/QAT/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/SEN/Economy/Commercial bank branches (per 100,000 adults)", + "World/North Africa/TUR/Economy/Commercial bank branches (per 100,000 adults)", + "World/Pair/USA/Economy/Commercial bank branches (per 100,000 adults)", + "World/Persian Gulf/YEM/Economy/Commercial bank branches (per 100,000 adults)", + "World/South Africa/ZAF/Economy/Commercial bank branches (per 100,000 adults)", + "World/Europe/AUT/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/AZE/Exports/Commercial service exports (current US$)", + "World/Asia/BGD/Exports/Commercial service exports (current US$)", + "World/Latam/BRA/Exports/Commercial service exports (current US$)", + "World/Latam/CHL/Exports/Commercial service exports (current US$)", + "World/Pair/CHN/Exports/Commercial service exports (current US$)", + "World/South Africa/CMR/Exports/Commercial service exports (current US$)", + "World/Latam/COL/Exports/Commercial service exports (current US$)", + "World/Latam/CRI/Exports/Commercial service exports (current US$)", + "World/Europe/DEU/Exports/Commercial service exports (current US$)", + "World/North Africa/DZA/Exports/Commercial service exports (current US$)", + "World/Europe/ESP/Exports/Commercial service exports (current US$)", + "World/Europe/FRA/Exports/Commercial service exports (current US$)", + "World/Europe/GBR/Exports/Commercial service exports (current US$)", + "World/South Africa/GHA/Exports/Commercial service exports (current US$)", + "World/Europe/GRC/Exports/Commercial service exports (current US$)", + "World/Europe/HRV/Exports/Commercial service exports (current US$)", + "World/Asia/IDN/Exports/Commercial service exports (current US$)", + "World/Asia/IND/Exports/Commercial service exports (current US$)", + "World/North Africa/ISR/Exports/Commercial service exports (current US$)", + "World/Asia/KOR/Exports/Commercial service exports (current US$)", + "World/North Africa/MAR/Exports/Commercial service exports (current US$)", + "World/Europe/NLD/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/OMN/Exports/Commercial service exports (current US$)", + "World/Latam/PAN/Exports/Commercial service exports (current US$)", + "World/Latam/PER/Exports/Commercial service exports (current US$)", + "World/Asia/PHL/Exports/Commercial service exports (current US$)", + "World/Europe/POL/Exports/Commercial service exports (current US$)", + "World/Persian Gulf/QAT/Exports/Commercial service exports (current US$)", + "World/South Africa/SEN/Exports/Commercial service exports (current US$)", + "World/Europe/SWE/Exports/Commercial service exports (current US$)", + "World/Asia/THA/Exports/Commercial service exports (current US$)", + "World/North Africa/TUR/Exports/Commercial service exports (current US$)", + "World/Pair/USA/Exports/Commercial service exports (current US$)", + "World/Asia/VNM/Exports/Commercial service exports (current US$)", + "World/South Africa/ZAF/Exports/Commercial service exports (current US$)", + "World/Latam/ARG/Imports/Commercial service imports (current US$)", + "World/Europe/AUT/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/AZE/Imports/Commercial service imports (current US$)", + "World/Asia/BGD/Imports/Commercial service imports (current US$)", + "World/Latam/BRA/Imports/Commercial service imports (current US$)", + "World/Latam/CHL/Imports/Commercial service imports (current US$)", + "World/Pair/CHN/Imports/Commercial service imports (current US$)", + "World/South Africa/CMR/Imports/Commercial service imports (current US$)", + "World/Latam/COL/Imports/Commercial service imports (current US$)", + "World/Latam/CRI/Imports/Commercial service imports (current US$)", + "World/Europe/DEU/Imports/Commercial service imports (current US$)", + "World/North Africa/DZA/Imports/Commercial service imports (current US$)", + "World/North Africa/EGY/Imports/Commercial service imports (current US$)", + "World/Europe/ESP/Imports/Commercial service imports (current US$)", + "World/Europe/FRA/Imports/Commercial service imports (current US$)", + "World/Europe/GBR/Imports/Commercial service imports (current US$)", + "World/South Africa/GHA/Imports/Commercial service imports (current US$)", + "World/Europe/HRV/Imports/Commercial service imports (current US$)", + "World/Asia/IDN/Imports/Commercial service imports (current US$)", + "World/Asia/IND/Imports/Commercial service imports (current US$)", + "World/North Africa/ISR/Imports/Commercial service imports (current US$)", + "World/Asia/KOR/Imports/Commercial service imports (current US$)", + "World/North Africa/MAR/Imports/Commercial service imports (current US$)", + "World/Latam/MEX/Imports/Commercial service imports (current US$)", + "World/South Africa/MOZ/Imports/Commercial service imports (current US$)", + "World/South Africa/NGA/Imports/Commercial service imports (current US$)", + "World/Europe/NLD/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/OMN/Imports/Commercial service imports (current US$)", + "World/Latam/PAN/Imports/Commercial service imports (current US$)", + "World/Latam/PER/Imports/Commercial service imports (current US$)", + "World/Asia/PHL/Imports/Commercial service imports (current US$)", + "World/Europe/POL/Imports/Commercial service imports (current US$)", + "World/Persian Gulf/QAT/Imports/Commercial service imports (current US$)", + "World/South Africa/SEN/Imports/Commercial service imports (current US$)", + "World/Europe/SWE/Imports/Commercial service imports (current US$)", + "World/Asia/THA/Imports/Commercial service imports (current US$)", + "World/North Africa/TUR/Imports/Commercial service imports (current US$)", + "World/Pair/USA/Imports/Commercial service imports (current US$)", + "World/Asia/VNM/Imports/Commercial service imports (current US$)", + "World/South Africa/ZAF/Imports/Commercial service imports (current US$)", + "World/Latam/ARG/Demoraphy/Completeness of birth registration (%)", + "World/Asia/BGD/Demoraphy/Completeness of birth registration (%)", + "World/Latam/BRA/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/CMR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/COL/Demoraphy/Completeness of birth registration (%)", + "World/Latam/CRI/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/DZA/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/EGY/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/GHA/Demoraphy/Completeness of birth registration (%)", + "World/Asia/IND/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/LBR/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/MAR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/MEX/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/MOZ/Demoraphy/Completeness of birth registration (%)", + "World/South Africa/NGA/Demoraphy/Completeness of birth registration (%)", + "World/Latam/PAN/Demoraphy/Completeness of birth registration (%)", + "World/Latam/PER/Demoraphy/Completeness of birth registration (%)", + "World/Asia/PHL/Demoraphy/Completeness of birth registration (%)", + "World/North Africa/TUR/Demoraphy/Completeness of birth registration (%)", + "World/Latam/VEN/Demoraphy/Completeness of birth registration (%)", + "World/Asia/VNM/Demoraphy/Completeness of birth registration (%)", + "World/Persian Gulf/ARE/Economy/Consumer price index (2010 = 100)", + "World/Europe/AUT/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/AZE/Economy/Consumer price index (2010 = 100)", + "World/Asia/BGD/Economy/Consumer price index (2010 = 100)", + "World/Latam/BRA/Economy/Consumer price index (2010 = 100)", + "World/Latam/CHL/Economy/Consumer price index (2010 = 100)", + "World/Pair/CHN/Economy/Consumer price index (2010 = 100)", + "World/South Africa/CMR/Economy/Consumer price index (2010 = 100)", + "World/Latam/COL/Economy/Consumer price index (2010 = 100)", + "World/Latam/CRI/Economy/Consumer price index (2010 = 100)", + "World/Europe/DEU/Economy/Consumer price index (2010 = 100)", + "World/North Africa/DZA/Economy/Consumer price index (2010 = 100)", + "World/North Africa/EGY/Economy/Consumer price index (2010 = 100)", + "World/Europe/ESP/Economy/Consumer price index (2010 = 100)", + "World/Europe/FRA/Economy/Consumer price index (2010 = 100)", + "World/Europe/GBR/Economy/Consumer price index (2010 = 100)", + "World/South Africa/GHA/Economy/Consumer price index (2010 = 100)", + "World/Europe/GRC/Economy/Consumer price index (2010 = 100)", + "World/Asia/IDN/Economy/Consumer price index (2010 = 100)", + "World/Asia/IND/Economy/Consumer price index (2010 = 100)", + "World/North Africa/ISR/Economy/Consumer price index (2010 = 100)", + "World/Asia/KOR/Economy/Consumer price index (2010 = 100)", + "World/South Africa/LBR/Economy/Consumer price index (2010 = 100)", + "World/North Africa/MAR/Economy/Consumer price index (2010 = 100)", + "World/Latam/MEX/Economy/Consumer price index (2010 = 100)", + "World/South Africa/MOZ/Economy/Consumer price index (2010 = 100)", + "World/South Africa/NGA/Economy/Consumer price index (2010 = 100)", + "World/Europe/NLD/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/OMN/Economy/Consumer price index (2010 = 100)", + "World/Latam/PAN/Economy/Consumer price index (2010 = 100)", + "World/Latam/PER/Economy/Consumer price index (2010 = 100)", + "World/Asia/PHL/Economy/Consumer price index (2010 = 100)", + "World/Europe/POL/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/QAT/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/SAU/Economy/Consumer price index (2010 = 100)", + "World/South Africa/SEN/Economy/Consumer price index (2010 = 100)", + "World/Europe/SWE/Economy/Consumer price index (2010 = 100)", + "World/Asia/THA/Economy/Consumer price index (2010 = 100)", + "World/North Africa/TUR/Economy/Consumer price index (2010 = 100)", + "World/Pair/USA/Economy/Consumer price index (2010 = 100)", + "World/Latam/VEN/Economy/Consumer price index (2010 = 100)", + "World/Asia/VNM/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/YEM/Economy/Consumer price index (2010 = 100)", + "World/South Africa/ZAF/Economy/Consumer price index (2010 = 100)", + "World/Persian Gulf/ARE/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/BGD/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/CHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Pair/CHN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/CMR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/COL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/CRI/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/DEU/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/ESP/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/FRA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/GBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/GHA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/IDN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/IND/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/ISR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/KOR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/LBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/MAR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/MEX/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/MOZ/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/NLD/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/OMN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/PAN/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Latam/PER/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/PHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/POL/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/QAT/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/SAU/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Europe/SWE/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/THA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/North Africa/TUR/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Pair/USA/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Asia/VNM/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/South Africa/ZAF/Exports/Container port traffic (TEU: 20 foot equivalent units)", + "World/Persian Gulf/AZE/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/BGD/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/BRA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/CHL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Pair/CHN/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/CMR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/COL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/CRI/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/DZA/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/EGY/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/GHA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/IDN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/IND/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/MAR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/MEX/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/MOZ/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/NGA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/PER/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/PHL/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Agriculture/Crop production index (2014-2016 = 100)", + "World/South Africa/SEN/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/THA/Agriculture/Crop production index (2014-2016 = 100)", + "World/North Africa/TUR/Agriculture/Crop production index (2014-2016 = 100)", + "World/Pair/USA/Agriculture/Crop production index (2014-2016 = 100)", + "World/Asia/VNM/Agriculture/Crop production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Agriculture/Crop production index (2014-2016 = 100)", + "World/Latam/ARG/Health/Current health expenditure (% of GDP)", + "World/Europe/AUT/Health/Current health expenditure (% of GDP)", + "World/Latam/CHL/Health/Current health expenditure (% of GDP)", + "World/Pair/CHN/Health/Current health expenditure (% of GDP)", + "World/South Africa/CMR/Health/Current health expenditure (% of GDP)", + "World/Latam/COL/Health/Current health expenditure (% of GDP)", + "World/Latam/CRI/Health/Current health expenditure (% of GDP)", + "World/Europe/ESP/Health/Current health expenditure (% of GDP)", + "World/Europe/FRA/Health/Current health expenditure (% of GDP)", + "World/Europe/GBR/Health/Current health expenditure (% of GDP)", + "World/Europe/GRC/Health/Current health expenditure (% of GDP)", + "World/Asia/IDN/Health/Current health expenditure (% of GDP)", + "World/Asia/IND/Health/Current health expenditure (% of GDP)", + "World/Asia/KOR/Health/Current health expenditure (% of GDP)", + "World/South Africa/MOZ/Health/Current health expenditure (% of GDP)", + "World/Europe/NLD/Health/Current health expenditure (% of GDP)", + "World/Latam/PER/Health/Current health expenditure (% of GDP)", + "World/Europe/POL/Health/Current health expenditure (% of GDP)", + "World/Europe/SWE/Health/Current health expenditure (% of GDP)", + "World/Asia/THA/Health/Current health expenditure (% of GDP)", + "World/Pair/USA/Health/Current health expenditure (% of GDP)", + "World/Asia/VNM/Health/Current health expenditure (% of GDP)", + "World/Persian Gulf/YEM/Health/Current health expenditure (% of GDP)", + "World/Persian Gulf/ARE/Health/Current health expenditure per capita (current US$)", + "World/Latam/ARG/Health/Current health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Current health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Current health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Current health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Current health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Current health expenditure per capita (current US$)", + "World/South Africa/CMR/Health/Current health expenditure per capita (current US$)", + "World/Latam/COL/Health/Current health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Current health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Current health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Current health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Current health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Current health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Current health expenditure per capita (current US$)", + "World/South Africa/GHA/Health/Current health expenditure per capita (current US$)", + "World/Europe/GRC/Health/Current health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Current health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Current health expenditure per capita (current US$)", + "World/Asia/IND/Health/Current health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Current health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Current health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Current health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Current health expenditure per capita (current US$)", + "World/Latam/MEX/Health/Current health expenditure per capita (current US$)", + "World/South Africa/MOZ/Health/Current health expenditure per capita (current US$)", + "World/South Africa/NGA/Health/Current health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/OMN/Health/Current health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Current health expenditure per capita (current US$)", + "World/Latam/PER/Health/Current health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Current health expenditure per capita (current US$)", + "World/Europe/POL/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Current health expenditure per capita (current US$)", + "World/South Africa/SEN/Health/Current health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Current health expenditure per capita (current US$)", + "World/Asia/THA/Health/Current health expenditure per capita (current US$)", + "World/Pair/USA/Health/Current health expenditure per capita (current US$)", + "World/Latam/VEN/Health/Current health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Health/Current health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Current health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/BGD/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/CHL/Economy/Customs and other import duties (% of tax revenue)", + "World/Pair/CHN/Economy/Customs and other import duties (% of tax revenue)", + "World/South Africa/CMR/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/COL/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/CRI/Economy/Customs and other import duties (% of tax revenue)", + "World/North Africa/EGY/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/ESP/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/HRV/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/IND/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/KOR/Economy/Customs and other import duties (% of tax revenue)", + "World/North Africa/MAR/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/MEX/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/PAN/Economy/Customs and other import duties (% of tax revenue)", + "World/Latam/PER/Economy/Customs and other import duties (% of tax revenue)", + "World/Europe/POL/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/THA/Economy/Customs and other import duties (% of tax revenue)", + "World/Asia/BGD/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/CHL/Economy/Domestic credit to private sector (% of GDP)", + "World/Pair/CHN/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/CMR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/COL/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/CRI/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/DEU/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/DZA/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/EGY/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/FRA/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/GRC/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/HRV/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/IND/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/KOR/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/LBR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/MEX/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/OMN/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/PER/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/POL/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/QAT/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/SAU/Economy/Domestic credit to private sector (% of GDP)", + "World/South Africa/SEN/Economy/Domestic credit to private sector (% of GDP)", + "World/Europe/SWE/Economy/Domestic credit to private sector (% of GDP)", + "World/North Africa/TUR/Economy/Domestic credit to private sector (% of GDP)", + "World/Latam/VEN/Economy/Domestic credit to private sector (% of GDP)", + "World/Asia/VNM/Economy/Domestic credit to private sector (% of GDP)", + "World/Persian Gulf/ARE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/AZE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/BGD/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/CHL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Pair/CHN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/CMR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/COL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/CRI/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/DEU/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/DZA/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/EGY/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/GRC/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/HRV/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/IND/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/KOR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/LBR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/MAR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/MEX/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/OMN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/PAN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/PER/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/POL/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/QAT/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Persian Gulf/SAU/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/South Africa/SEN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Europe/SWE/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/North Africa/TUR/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/VEN/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Asia/VNM/Economy/Domestic credit to private sector by banks (% of GDP)", + "World/Latam/ARG/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/COL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/GRC/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/IND/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/MEX/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/MOZ/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/OMN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/PER/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/POL/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Domestic general government health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Domestic general government health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/THA/Health/Domestic general government health expenditure per capita (current US$)", + "World/North Africa/TUR/Health/Domestic general government health expenditure per capita (current US$)", + "World/Pair/USA/Health/Domestic general government health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Domestic general government health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Domestic general government health expenditure per capita (current US$)", + "World/Latam/ARG/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/AUT/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/BGD/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/BRA/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/CHL/Health/Domestic private health expenditure per capita (current US$)", + "World/Pair/CHN/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/CMR/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/COL/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/CRI/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/DEU/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/DZA/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/EGY/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/ESP/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/FRA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/GBR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/GHA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/HRV/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/IDN/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/IND/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/ISR/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/KOR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/LBR/Health/Domestic private health expenditure per capita (current US$)", + "World/North Africa/MAR/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/NGA/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/NLD/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/PAN/Health/Domestic private health expenditure per capita (current US$)", + "World/Latam/PER/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/PHL/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/POL/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/QAT/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/SEN/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/SWE/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/THA/Health/Domestic private health expenditure per capita (current US$)", + "World/Pair/USA/Health/Domestic private health expenditure per capita (current US$)", + "World/Asia/VNM/Health/Domestic private health expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Health/Domestic private health expenditure per capita (current US$)", + "World/South Africa/ZAF/Health/Domestic private health expenditure per capita (current US$)", + "World/Europe/AUT/Environment/Electric power consumption (kWh per capita)", + "World/Asia/BGD/Environment/Electric power consumption (kWh per capita)", + "World/Latam/BRA/Environment/Electric power consumption (kWh per capita)", + "World/Latam/CHL/Environment/Electric power consumption (kWh per capita)", + "World/Pair/CHN/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/CMR/Environment/Electric power consumption (kWh per capita)", + "World/Latam/COL/Environment/Electric power consumption (kWh per capita)", + "World/Latam/CRI/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/DZA/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/EGY/Environment/Electric power consumption (kWh per capita)", + "World/Europe/GBR/Environment/Electric power consumption (kWh per capita)", + "World/Europe/GRC/Environment/Electric power consumption (kWh per capita)", + "World/Europe/HRV/Environment/Electric power consumption (kWh per capita)", + "World/Asia/IDN/Environment/Electric power consumption (kWh per capita)", + "World/Asia/IND/Environment/Electric power consumption (kWh per capita)", + "World/Asia/KOR/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/MAR/Environment/Electric power consumption (kWh per capita)", + "World/Latam/MEX/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/MOZ/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/NGA/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/OMN/Environment/Electric power consumption (kWh per capita)", + "World/Latam/PAN/Environment/Electric power consumption (kWh per capita)", + "World/Latam/PER/Environment/Electric power consumption (kWh per capita)", + "World/Asia/PHL/Environment/Electric power consumption (kWh per capita)", + "World/Europe/POL/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/SAU/Environment/Electric power consumption (kWh per capita)", + "World/South Africa/SEN/Environment/Electric power consumption (kWh per capita)", + "World/Europe/SWE/Environment/Electric power consumption (kWh per capita)", + "World/Asia/THA/Environment/Electric power consumption (kWh per capita)", + "World/North Africa/TUR/Environment/Electric power consumption (kWh per capita)", + "World/Asia/VNM/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/YEM/Environment/Electric power consumption (kWh per capita)", + "World/Persian Gulf/ARE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/CHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/COL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/GHA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/LBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/MEX/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/NGA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/PAN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/PER/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/PHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/QAT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/North Africa/TUR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/GRC/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/HRV/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/SAU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Pair/USA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/ARE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/ARG/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/AUT/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/BGD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/BRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/CHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Pair/CHN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/CMR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/COL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/CRI/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/DEU/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/DZA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/EGY/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/ESP/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/FRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/GBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/GHA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/GRC/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/HRV/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/IDN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/IND/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/ISR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/KOR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/LBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/MAR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/MEX/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/MOZ/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/NGA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/NLD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/PAN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/PER/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/PHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/POL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/SEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Europe/SWE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/THA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/North Africa/TUR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Pair/USA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Latam/VEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Asia/VNM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/South Africa/ZAF/Employment/Employment in services (% of total employment) (modeled ILO estimate)", + "World/Persian Gulf/AZE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/BGD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Pair/CHN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/CMR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/CRI/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/DEU/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/DZA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/GBR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/GHA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/IDN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/IND/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/ISR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/KOR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/MEX/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/MOZ/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/South Africa/NGA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/NLD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Persian Gulf/OMN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/PAN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/PER/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/PHL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/POL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Europe/SWE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/THA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/North Africa/TUR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Pair/USA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Latam/VEN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", + "World/Asia/BGD/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/BRA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/CHL/Environment/Energy use (kg of oil equivalent per capita)", + "World/Pair/CHN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/CRI/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/GBR/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/IDN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/IND/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/KOR/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/MAR/Environment/Energy use (kg of oil equivalent per capita)", + "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent per capita)", + "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/NLD/Environment/Energy use (kg of oil equivalent per capita)", + "World/Persian Gulf/OMN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/PAN/Environment/Energy use (kg of oil equivalent per capita)", + "World/Latam/PER/Environment/Energy use (kg of oil equivalent per capita)", + "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/THA/Environment/Energy use (kg of oil equivalent per capita)", + "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent per capita)", + "World/Pair/USA/Environment/Energy use (kg of oil equivalent per capita)", + "World/Asia/VNM/Environment/Energy use (kg of oil equivalent per capita)", + "World/Europe/AUT/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/AZE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/BGD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Pair/CHN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/CMR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/COL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/CRI/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/DEU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/ESP/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/FRA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/GBR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/GHA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/HRV/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/IDN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/IND/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/ISR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/KOR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/MEX/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/NLD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Latam/PAN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Asia/PHL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/POL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Europe/SWE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Pair/USA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/South Africa/ZAF/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", + "World/Persian Gulf/ARE/Exports/Export unit value index (2000 = 100)", + "World/Europe/AUT/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export unit value index (2000 = 100)", + "World/Asia/BGD/Exports/Export unit value index (2000 = 100)", + "World/Latam/BRA/Exports/Export unit value index (2000 = 100)", + "World/Latam/CRI/Exports/Export unit value index (2000 = 100)", + "World/Europe/DEU/Exports/Export unit value index (2000 = 100)", + "World/North Africa/DZA/Exports/Export unit value index (2000 = 100)", + "World/Europe/ESP/Exports/Export unit value index (2000 = 100)", + "World/Europe/FRA/Exports/Export unit value index (2000 = 100)", + "World/South Africa/GHA/Exports/Export unit value index (2000 = 100)", + "World/Europe/GRC/Exports/Export unit value index (2000 = 100)", + "World/Europe/HRV/Exports/Export unit value index (2000 = 100)", + "World/Latam/MEX/Exports/Export unit value index (2000 = 100)", + "World/Europe/NLD/Exports/Export unit value index (2000 = 100)", + "World/Latam/PAN/Exports/Export unit value index (2000 = 100)", + "World/Europe/POL/Exports/Export unit value index (2000 = 100)", + "World/Europe/SWE/Exports/Export unit value index (2000 = 100)", + "World/Asia/THA/Exports/Export unit value index (2000 = 100)", + "World/Asia/VNM/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/YEM/Exports/Export unit value index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export unit value index (2000 = 100)", + "World/Persian Gulf/ARE/Exports/Export value index (2000 = 100)", + "World/Europe/AUT/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export value index (2000 = 100)", + "World/Asia/BGD/Exports/Export value index (2000 = 100)", + "World/Latam/BRA/Exports/Export value index (2000 = 100)", + "World/Latam/CHL/Exports/Export value index (2000 = 100)", + "World/Pair/CHN/Exports/Export value index (2000 = 100)", + "World/Latam/COL/Exports/Export value index (2000 = 100)", + "World/Latam/CRI/Exports/Export value index (2000 = 100)", + "World/Europe/DEU/Exports/Export value index (2000 = 100)", + "World/North Africa/DZA/Exports/Export value index (2000 = 100)", + "World/Europe/ESP/Exports/Export value index (2000 = 100)", + "World/Europe/FRA/Exports/Export value index (2000 = 100)", + "World/Europe/GBR/Exports/Export value index (2000 = 100)", + "World/South Africa/GHA/Exports/Export value index (2000 = 100)", + "World/Asia/IDN/Exports/Export value index (2000 = 100)", + "World/Asia/IND/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/IRQ/Exports/Export value index (2000 = 100)", + "World/Asia/KOR/Exports/Export value index (2000 = 100)", + "World/North Africa/MAR/Exports/Export value index (2000 = 100)", + "World/Latam/MEX/Exports/Export value index (2000 = 100)", + "World/South Africa/MOZ/Exports/Export value index (2000 = 100)", + "World/Europe/NLD/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/OMN/Exports/Export value index (2000 = 100)", + "World/Latam/PAN/Exports/Export value index (2000 = 100)", + "World/Latam/PER/Exports/Export value index (2000 = 100)", + "World/Asia/PHL/Exports/Export value index (2000 = 100)", + "World/Europe/POL/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/QAT/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/SAU/Exports/Export value index (2000 = 100)", + "World/South Africa/SEN/Exports/Export value index (2000 = 100)", + "World/Europe/SWE/Exports/Export value index (2000 = 100)", + "World/Asia/THA/Exports/Export value index (2000 = 100)", + "World/North Africa/TUR/Exports/Export value index (2000 = 100)", + "World/Pair/USA/Exports/Export value index (2000 = 100)", + "World/Latam/VEN/Exports/Export value index (2000 = 100)", + "World/Asia/VNM/Exports/Export value index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export value index (2000 = 100)", + "World/Persian Gulf/ARE/Exports/Export volume index (2000 = 100)", + "World/Europe/AUT/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/AZE/Exports/Export volume index (2000 = 100)", + "World/Asia/BGD/Exports/Export volume index (2000 = 100)", + "World/Latam/BRA/Exports/Export volume index (2000 = 100)", + "World/Latam/CHL/Exports/Export volume index (2000 = 100)", + "World/Pair/CHN/Exports/Export volume index (2000 = 100)", + "World/Latam/COL/Exports/Export volume index (2000 = 100)", + "World/Latam/CRI/Exports/Export volume index (2000 = 100)", + "World/Europe/ESP/Exports/Export volume index (2000 = 100)", + "World/South Africa/GHA/Exports/Export volume index (2000 = 100)", + "World/Europe/GRC/Exports/Export volume index (2000 = 100)", + "World/Asia/IDN/Exports/Export volume index (2000 = 100)", + "World/Asia/IND/Exports/Export volume index (2000 = 100)", + "World/North Africa/ISR/Exports/Export volume index (2000 = 100)", + "World/Asia/KOR/Exports/Export volume index (2000 = 100)", + "World/North Africa/MAR/Exports/Export volume index (2000 = 100)", + "World/Latam/MEX/Exports/Export volume index (2000 = 100)", + "World/South Africa/MOZ/Exports/Export volume index (2000 = 100)", + "World/Europe/NLD/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/OMN/Exports/Export volume index (2000 = 100)", + "World/Latam/PAN/Exports/Export volume index (2000 = 100)", + "World/Latam/PER/Exports/Export volume index (2000 = 100)", + "World/Asia/PHL/Exports/Export volume index (2000 = 100)", + "World/Europe/POL/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/QAT/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/SAU/Exports/Export volume index (2000 = 100)", + "World/Asia/THA/Exports/Export volume index (2000 = 100)", + "World/North Africa/TUR/Exports/Export volume index (2000 = 100)", + "World/Pair/USA/Exports/Export volume index (2000 = 100)", + "World/Latam/VEN/Exports/Export volume index (2000 = 100)", + "World/Asia/VNM/Exports/Export volume index (2000 = 100)", + "World/Persian Gulf/YEM/Exports/Export volume index (2000 = 100)", + "World/South Africa/ZAF/Exports/Export volume index (2000 = 100)", + "World/Europe/AUT/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/AZE/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/BGD/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/BRA/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/CHL/Exports/Exports of goods and services (BoP, current US$)", + "World/Pair/CHN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/COL/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/CRI/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/DEU/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/ESP/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/FRA/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/GBR/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/GHA/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/HRV/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/IDN/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/IND/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/IRQ/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/ISR/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/KOR/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/MAR/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/MEX/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/MOZ/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/NLD/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/PAN/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/PER/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/PHL/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/POL/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/SEN/Exports/Exports of goods and services (BoP, current US$)", + "World/Europe/SWE/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/THA/Exports/Exports of goods and services (BoP, current US$)", + "World/North Africa/TUR/Exports/Exports of goods and services (BoP, current US$)", + "World/Pair/USA/Exports/Exports of goods and services (BoP, current US$)", + "World/Latam/VEN/Exports/Exports of goods and services (BoP, current US$)", + "World/Asia/VNM/Exports/Exports of goods and services (BoP, current US$)", + "World/South Africa/ZAF/Exports/Exports of goods and services (BoP, current US$)", + "World/Persian Gulf/ARE/Exports/Exports of goods and services (current US$)", + "World/Europe/AUT/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/AZE/Exports/Exports of goods and services (current US$)", + "World/Asia/BGD/Exports/Exports of goods and services (current US$)", + "World/Latam/BRA/Exports/Exports of goods and services (current US$)", + "World/Latam/CHL/Exports/Exports of goods and services (current US$)", + "World/Pair/CHN/Exports/Exports of goods and services (current US$)", + "World/Latam/COL/Exports/Exports of goods and services (current US$)", + "World/Latam/CRI/Exports/Exports of goods and services (current US$)", + "World/Europe/DEU/Exports/Exports of goods and services (current US$)", + "World/North Africa/DZA/Exports/Exports of goods and services (current US$)", + "World/Europe/ESP/Exports/Exports of goods and services (current US$)", + "World/Europe/FRA/Exports/Exports of goods and services (current US$)", + "World/Europe/GBR/Exports/Exports of goods and services (current US$)", + "World/South Africa/GHA/Exports/Exports of goods and services (current US$)", + "World/Europe/HRV/Exports/Exports of goods and services (current US$)", + "World/Asia/IDN/Exports/Exports of goods and services (current US$)", + "World/Asia/IND/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/IRQ/Exports/Exports of goods and services (current US$)", + "World/North Africa/ISR/Exports/Exports of goods and services (current US$)", + "World/Asia/KOR/Exports/Exports of goods and services (current US$)", + "World/North Africa/MAR/Exports/Exports of goods and services (current US$)", + "World/Latam/MEX/Exports/Exports of goods and services (current US$)", + "World/South Africa/MOZ/Exports/Exports of goods and services (current US$)", + "World/Europe/NLD/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/OMN/Exports/Exports of goods and services (current US$)", + "World/Latam/PAN/Exports/Exports of goods and services (current US$)", + "World/Latam/PER/Exports/Exports of goods and services (current US$)", + "World/Asia/PHL/Exports/Exports of goods and services (current US$)", + "World/Europe/POL/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/QAT/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/SAU/Exports/Exports of goods and services (current US$)", + "World/South Africa/SEN/Exports/Exports of goods and services (current US$)", + "World/Europe/SWE/Exports/Exports of goods and services (current US$)", + "World/Asia/THA/Exports/Exports of goods and services (current US$)", + "World/North Africa/TUR/Exports/Exports of goods and services (current US$)", + "World/Pair/USA/Exports/Exports of goods and services (current US$)", + "World/Latam/VEN/Exports/Exports of goods and services (current US$)", + "World/Asia/VNM/Exports/Exports of goods and services (current US$)", + "World/South Africa/ZAF/Exports/Exports of goods and services (current US$)", + "World/Persian Gulf/ARE/Economy/Final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/Final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Final consumption expenditure (current US$)", + "World/Asia/BGD/Economy/Final consumption expenditure (current US$)", + "World/Latam/BRA/Economy/Final consumption expenditure (current US$)", + "World/Latam/CHL/Economy/Final consumption expenditure (current US$)", + "World/Pair/CHN/Economy/Final consumption expenditure (current US$)", + "World/South Africa/CMR/Economy/Final consumption expenditure (current US$)", + "World/Latam/COL/Economy/Final consumption expenditure (current US$)", + "World/Latam/CRI/Economy/Final consumption expenditure (current US$)", + "World/Europe/DEU/Economy/Final consumption expenditure (current US$)", + "World/North Africa/DZA/Economy/Final consumption expenditure (current US$)", + "World/North Africa/EGY/Economy/Final consumption expenditure (current US$)", + "World/Europe/ESP/Economy/Final consumption expenditure (current US$)", + "World/Europe/FRA/Economy/Final consumption expenditure (current US$)", + "World/Europe/GBR/Economy/Final consumption expenditure (current US$)", + "World/South Africa/GHA/Economy/Final consumption expenditure (current US$)", + "World/Europe/GRC/Economy/Final consumption expenditure (current US$)", + "World/Europe/HRV/Economy/Final consumption expenditure (current US$)", + "World/Asia/IDN/Economy/Final consumption expenditure (current US$)", + "World/Asia/IND/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/Final consumption expenditure (current US$)", + "World/North Africa/ISR/Economy/Final consumption expenditure (current US$)", + "World/Asia/KOR/Economy/Final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/Final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/Final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/Final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/Final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/Final consumption expenditure (current US$)", + "World/Latam/PER/Economy/Final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/Final consumption expenditure (current US$)", + "World/Europe/POL/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/Final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/Final consumption expenditure (current US$)", + "World/Asia/THA/Economy/Final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/Final consumption expenditure (current US$)", + "World/Pair/USA/Economy/Final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/Final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/Final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/Final consumption expenditure (current US$)", + "World/Latam/ARG/R&D/Firms offering formal training (% of firms)", + "World/Latam/CHL/R&D/Firms offering formal training (% of firms)", + "World/Latam/COL/R&D/Firms offering formal training (% of firms)", + "World/Latam/CRI/R&D/Firms offering formal training (% of firms)", + "World/North Africa/EGY/R&D/Firms offering formal training (% of firms)", + "World/South Africa/GHA/R&D/Firms offering formal training (% of firms)", + "World/Europe/GRC/R&D/Firms offering formal training (% of firms)", + "World/Europe/HRV/R&D/Firms offering formal training (% of firms)", + "World/Asia/IDN/R&D/Firms offering formal training (% of firms)", + "World/Asia/IND/R&D/Firms offering formal training (% of firms)", + "World/South Africa/LBR/R&D/Firms offering formal training (% of firms)", + "World/North Africa/MAR/R&D/Firms offering formal training (% of firms)", + "World/Latam/MEX/R&D/Firms offering formal training (% of firms)", + "World/South Africa/MOZ/R&D/Firms offering formal training (% of firms)", + "World/South Africa/NGA/R&D/Firms offering formal training (% of firms)", + "World/Latam/PAN/R&D/Firms offering formal training (% of firms)", + "World/Latam/PER/R&D/Firms offering formal training (% of firms)", + "World/Asia/PHL/R&D/Firms offering formal training (% of firms)", + "World/Europe/POL/R&D/Firms offering formal training (% of firms)", + "World/South Africa/SEN/R&D/Firms offering formal training (% of firms)", + "World/Asia/THA/R&D/Firms offering formal training (% of firms)", + "World/North Africa/TUR/R&D/Firms offering formal training (% of firms)", + "World/Latam/VEN/R&D/Firms offering formal training (% of firms)", + "World/Asia/VNM/R&D/Firms offering formal training (% of firms)", + "World/Persian Gulf/YEM/R&D/Firms offering formal training (% of firms)", + "World/South Africa/ZAF/R&D/Firms offering formal training (% of firms)", + "World/Latam/ARG/Economy/Firms using banks to finance investment (% of firms)", + "World/Persian Gulf/AZE/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/BGD/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/CHL/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/CMR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/COL/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/CRI/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/EGY/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/GHA/Economy/Firms using banks to finance investment (% of firms)", + "World/Europe/GRC/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/IDN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/IND/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/LBR/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/MAR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/MEX/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/MOZ/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/NGA/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/PAN/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/PER/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/PHL/Economy/Firms using banks to finance investment (% of firms)", + "World/Europe/POL/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/SEN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/THA/Economy/Firms using banks to finance investment (% of firms)", + "World/North Africa/TUR/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/VEN/Economy/Firms using banks to finance investment (% of firms)", + "World/Asia/VNM/Economy/Firms using banks to finance investment (% of firms)", + "World/Persian Gulf/YEM/Economy/Firms using banks to finance investment (% of firms)", + "World/South Africa/ZAF/Economy/Firms using banks to finance investment (% of firms)", + "World/Latam/ARG/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/AZE/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/BGD/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/CHL/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/CMR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/COL/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/CRI/Economy/Firms using banks to finance working capital (% of firms)", + "World/North Africa/EGY/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/GHA/Economy/Firms using banks to finance working capital (% of firms)", + "World/Europe/GRC/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/IDN/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/LBR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/MEX/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/MOZ/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/NGA/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/PAN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/PER/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/PHL/Economy/Firms using banks to finance working capital (% of firms)", + "World/Europe/POL/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/SEN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/THA/Economy/Firms using banks to finance working capital (% of firms)", + "World/North Africa/TUR/Economy/Firms using banks to finance working capital (% of firms)", + "World/Latam/VEN/Economy/Firms using banks to finance working capital (% of firms)", + "World/Asia/VNM/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/YEM/Economy/Firms using banks to finance working capital (% of firms)", + "World/South Africa/ZAF/Economy/Firms using banks to finance working capital (% of firms)", + "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions", + "World/Latam/ARG/Internet/Fixed broadband subscriptions", + "World/Europe/AUT/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions", + "World/Asia/BGD/Internet/Fixed broadband subscriptions", + "World/Latam/BRA/Internet/Fixed broadband subscriptions", + "World/Latam/CHL/Internet/Fixed broadband subscriptions", + "World/Pair/CHN/Internet/Fixed broadband subscriptions", + "World/South Africa/CMR/Internet/Fixed broadband subscriptions", + "World/Latam/COL/Internet/Fixed broadband subscriptions", + "World/Latam/CRI/Internet/Fixed broadband subscriptions", + "World/Europe/DEU/Internet/Fixed broadband subscriptions", + "World/North Africa/DZA/Internet/Fixed broadband subscriptions", + "World/North Africa/EGY/Internet/Fixed broadband subscriptions", + "World/Europe/ESP/Internet/Fixed broadband subscriptions", + "World/Europe/FRA/Internet/Fixed broadband subscriptions", + "World/Europe/GBR/Internet/Fixed broadband subscriptions", + "World/South Africa/GHA/Internet/Fixed broadband subscriptions", + "World/Europe/GRC/Internet/Fixed broadband subscriptions", + "World/Europe/HRV/Internet/Fixed broadband subscriptions", + "World/Asia/IDN/Internet/Fixed broadband subscriptions", + "World/Asia/IND/Internet/Fixed broadband subscriptions", + "World/North Africa/ISR/Internet/Fixed broadband subscriptions", + "World/Asia/KOR/Internet/Fixed broadband subscriptions", + "World/South Africa/LBR/Internet/Fixed broadband subscriptions", + "World/North Africa/MAR/Internet/Fixed broadband subscriptions", + "World/Latam/MEX/Internet/Fixed broadband subscriptions", + "World/South Africa/MOZ/Internet/Fixed broadband subscriptions", + "World/Europe/NLD/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions", + "World/Latam/PAN/Internet/Fixed broadband subscriptions", + "World/Latam/PER/Internet/Fixed broadband subscriptions", + "World/Asia/PHL/Internet/Fixed broadband subscriptions", + "World/Europe/POL/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions", + "World/South Africa/SEN/Internet/Fixed broadband subscriptions", + "World/Europe/SWE/Internet/Fixed broadband subscriptions", + "World/Asia/THA/Internet/Fixed broadband subscriptions", + "World/North Africa/TUR/Internet/Fixed broadband subscriptions", + "World/Pair/USA/Internet/Fixed broadband subscriptions", + "World/Latam/VEN/Internet/Fixed broadband subscriptions", + "World/Asia/VNM/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions", + "World/South Africa/ZAF/Internet/Fixed broadband subscriptions", + "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/ARG/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/AUT/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/BGD/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/BRA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/CHL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Pair/CHN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/CMR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/COL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/CRI/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/DEU/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/DZA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/EGY/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/ESP/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/FRA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/GBR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/GHA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/GRC/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/HRV/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/IDN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/IND/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/ISR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/KOR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/LBR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/MAR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/MEX/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/MOZ/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/NLD/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/PAN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/PER/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/PHL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/POL/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/SEN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Europe/SWE/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/THA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/North Africa/TUR/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Pair/USA/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Latam/VEN/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Asia/VNM/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions (per 100 people)", + "World/South Africa/ZAF/Internet/Fixed broadband subscriptions (per 100 people)", + "World/Persian Gulf/ARE/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/AZE/Industry/Food production index (2014-2016 = 100)", + "World/Asia/BGD/Industry/Food production index (2014-2016 = 100)", + "World/Latam/BRA/Industry/Food production index (2014-2016 = 100)", + "World/Latam/CHL/Industry/Food production index (2014-2016 = 100)", + "World/Pair/CHN/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/CMR/Industry/Food production index (2014-2016 = 100)", + "World/Latam/COL/Industry/Food production index (2014-2016 = 100)", + "World/Latam/CRI/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/DZA/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/EGY/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/GHA/Industry/Food production index (2014-2016 = 100)", + "World/Asia/IDN/Industry/Food production index (2014-2016 = 100)", + "World/Asia/IND/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/ISR/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/LBR/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/MAR/Industry/Food production index (2014-2016 = 100)", + "World/Latam/MEX/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/MOZ/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/NGA/Industry/Food production index (2014-2016 = 100)", + "World/Europe/NLD/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Industry/Food production index (2014-2016 = 100)", + "World/Latam/PAN/Industry/Food production index (2014-2016 = 100)", + "World/Latam/PER/Industry/Food production index (2014-2016 = 100)", + "World/Asia/PHL/Industry/Food production index (2014-2016 = 100)", + "World/Europe/POL/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/SAU/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/SEN/Industry/Food production index (2014-2016 = 100)", + "World/Asia/THA/Industry/Food production index (2014-2016 = 100)", + "World/North Africa/TUR/Industry/Food production index (2014-2016 = 100)", + "World/Pair/USA/Industry/Food production index (2014-2016 = 100)", + "World/Asia/VNM/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Industry/Food production index (2014-2016 = 100)", + "World/South Africa/ZAF/Industry/Food production index (2014-2016 = 100)", + "World/Persian Gulf/ARE/Demography/Forest area (% of land area)", + "World/Latam/ARG/Demography/Forest area (% of land area)", + "World/Europe/AUT/Demography/Forest area (% of land area)", + "World/Persian Gulf/AZE/Demography/Forest area (% of land area)", + "World/Asia/BGD/Demography/Forest area (% of land area)", + "World/Latam/BRA/Demography/Forest area (% of land area)", + "World/Latam/CHL/Demography/Forest area (% of land area)", + "World/Pair/CHN/Demography/Forest area (% of land area)", + "World/South Africa/CMR/Demography/Forest area (% of land area)", + "World/Latam/COL/Demography/Forest area (% of land area)", + "World/Latam/CRI/Demography/Forest area (% of land area)", + "World/North Africa/DZA/Demography/Forest area (% of land area)", + "World/North Africa/EGY/Demography/Forest area (% of land area)", + "World/Europe/ESP/Demography/Forest area (% of land area)", + "World/Europe/FRA/Demography/Forest area (% of land area)", + "World/Europe/GBR/Demography/Forest area (% of land area)", + "World/Europe/GRC/Demography/Forest area (% of land area)", + "World/Europe/HRV/Demography/Forest area (% of land area)", + "World/Asia/IDN/Demography/Forest area (% of land area)", + "World/Asia/IND/Demography/Forest area (% of land area)", + "World/Asia/KOR/Demography/Forest area (% of land area)", + "World/South Africa/LBR/Demography/Forest area (% of land area)", + "World/North Africa/MAR/Demography/Forest area (% of land area)", + "World/Latam/MEX/Demography/Forest area (% of land area)", + "World/South Africa/MOZ/Demography/Forest area (% of land area)", + "World/South Africa/NGA/Demography/Forest area (% of land area)", + "World/Europe/NLD/Demography/Forest area (% of land area)", + "World/Latam/PAN/Demography/Forest area (% of land area)", + "World/Latam/PER/Demography/Forest area (% of land area)", + "World/Europe/POL/Demography/Forest area (% of land area)", + "World/South Africa/SEN/Demography/Forest area (% of land area)", + "World/North Africa/TUR/Demography/Forest area (% of land area)", + "World/Pair/USA/Demography/Forest area (% of land area)", + "World/Latam/VEN/Demography/Forest area (% of land area)", + "World/Asia/VNM/Demography/Forest area (% of land area)", + "World/South Africa/ZAF/Demography/Forest area (% of land area)", + "World/Persian Gulf/ARE/Principal/GDP deflator (base year varies by country)", + "World/Europe/AUT/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/AZE/Principal/GDP deflator (base year varies by country)", + "World/Asia/BGD/Principal/GDP deflator (base year varies by country)", + "World/Latam/BRA/Principal/GDP deflator (base year varies by country)", + "World/Latam/CHL/Principal/GDP deflator (base year varies by country)", + "World/Pair/CHN/Principal/GDP deflator (base year varies by country)", + "World/South Africa/CMR/Principal/GDP deflator (base year varies by country)", + "World/Latam/COL/Principal/GDP deflator (base year varies by country)", + "World/Latam/CRI/Principal/GDP deflator (base year varies by country)", + "World/Europe/DEU/Principal/GDP deflator (base year varies by country)", + "World/North Africa/DZA/Principal/GDP deflator (base year varies by country)", + "World/North Africa/EGY/Principal/GDP deflator (base year varies by country)", + "World/Europe/ESP/Principal/GDP deflator (base year varies by country)", + "World/Europe/FRA/Principal/GDP deflator (base year varies by country)", + "World/Europe/GBR/Principal/GDP deflator (base year varies by country)", + "World/South Africa/GHA/Principal/GDP deflator (base year varies by country)", + "World/Europe/GRC/Principal/GDP deflator (base year varies by country)", + "World/Europe/HRV/Principal/GDP deflator (base year varies by country)", + "World/Asia/IDN/Principal/GDP deflator (base year varies by country)", + "World/Asia/IND/Principal/GDP deflator (base year varies by country)", + "World/North Africa/ISR/Principal/GDP deflator (base year varies by country)", + "World/Asia/KOR/Principal/GDP deflator (base year varies by country)", + "World/South Africa/LBR/Principal/GDP deflator (base year varies by country)", + "World/North Africa/MAR/Principal/GDP deflator (base year varies by country)", + "World/Latam/MEX/Principal/GDP deflator (base year varies by country)", + "World/South Africa/MOZ/Principal/GDP deflator (base year varies by country)", + "World/South Africa/NGA/Principal/GDP deflator (base year varies by country)", + "World/Europe/NLD/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/OMN/Principal/GDP deflator (base year varies by country)", + "World/Latam/PAN/Principal/GDP deflator (base year varies by country)", + "World/Latam/PER/Principal/GDP deflator (base year varies by country)", + "World/Asia/PHL/Principal/GDP deflator (base year varies by country)", + "World/Europe/POL/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/QAT/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/SAU/Principal/GDP deflator (base year varies by country)", + "World/South Africa/SEN/Principal/GDP deflator (base year varies by country)", + "World/Asia/THA/Principal/GDP deflator (base year varies by country)", + "World/North Africa/TUR/Principal/GDP deflator (base year varies by country)", + "World/Pair/USA/Principal/GDP deflator (base year varies by country)", + "World/Latam/VEN/Principal/GDP deflator (base year varies by country)", + "World/Asia/VNM/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/YEM/Principal/GDP deflator (base year varies by country)", + "World/South Africa/ZAF/Principal/GDP deflator (base year varies by country)", + "World/Persian Gulf/ARE/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/AUT/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/AZE/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/BGD/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/BRA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/CHL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Pair/CHN/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/CMR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/COL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/CRI/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/DEU/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/DZA/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/EGY/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/ESP/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/FRA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/GBR/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/GHA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/GRC/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/HRV/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/IDN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/IND/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/ISR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/KOR/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/LBR/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/MAR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/MEX/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/MOZ/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/NGA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/NLD/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/OMN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/PAN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/PER/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/PHL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Europe/POL/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/QAT/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/SAU/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/SEN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/THA/Principal/GDP deflator: linked series (base year varies by country)", + "World/North Africa/TUR/Principal/GDP deflator: linked series (base year varies by country)", + "World/Pair/USA/Principal/GDP deflator: linked series (base year varies by country)", + "World/Latam/VEN/Principal/GDP deflator: linked series (base year varies by country)", + "World/Asia/VNM/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/YEM/Principal/GDP deflator: linked series (base year varies by country)", + "World/South Africa/ZAF/Principal/GDP deflator: linked series (base year varies by country)", + "World/Persian Gulf/ARE/Principal/GDP per capita (current US$)", + "World/Latam/ARG/Principal/GDP per capita (current US$)", + "World/Europe/AUT/Principal/GDP per capita (current US$)", + "World/Persian Gulf/AZE/Principal/GDP per capita (current US$)", + "World/Asia/BGD/Principal/GDP per capita (current US$)", + "World/Latam/BRA/Principal/GDP per capita (current US$)", + "World/Latam/CHL/Principal/GDP per capita (current US$)", + "World/Pair/CHN/Principal/GDP per capita (current US$)", + "World/South Africa/CMR/Principal/GDP per capita (current US$)", + "World/Latam/COL/Principal/GDP per capita (current US$)", + "World/Latam/CRI/Principal/GDP per capita (current US$)", + "World/Europe/DEU/Principal/GDP per capita (current US$)", + "World/North Africa/DZA/Principal/GDP per capita (current US$)", + "World/North Africa/EGY/Principal/GDP per capita (current US$)", + "World/Europe/ESP/Principal/GDP per capita (current US$)", + "World/Europe/FRA/Principal/GDP per capita (current US$)", + "World/Europe/GBR/Principal/GDP per capita (current US$)", + "World/South Africa/GHA/Principal/GDP per capita (current US$)", + "World/Europe/GRC/Principal/GDP per capita (current US$)", + "World/Europe/HRV/Principal/GDP per capita (current US$)", + "World/Asia/IDN/Principal/GDP per capita (current US$)", + "World/Asia/IND/Principal/GDP per capita (current US$)", + "World/Persian Gulf/IRQ/Principal/GDP per capita (current US$)", + "World/North Africa/ISR/Principal/GDP per capita (current US$)", + "World/Asia/KOR/Principal/GDP per capita (current US$)", + "World/North Africa/MAR/Principal/GDP per capita (current US$)", + "World/Latam/MEX/Principal/GDP per capita (current US$)", + "World/South Africa/MOZ/Principal/GDP per capita (current US$)", + "World/South Africa/NGA/Principal/GDP per capita (current US$)", + "World/Europe/NLD/Principal/GDP per capita (current US$)", + "World/Persian Gulf/OMN/Principal/GDP per capita (current US$)", + "World/Latam/PAN/Principal/GDP per capita (current US$)", + "World/Latam/PER/Principal/GDP per capita (current US$)", + "World/Asia/PHL/Principal/GDP per capita (current US$)", + "World/Europe/POL/Principal/GDP per capita (current US$)", + "World/Persian Gulf/QAT/Principal/GDP per capita (current US$)", + "World/Persian Gulf/SAU/Principal/GDP per capita (current US$)", + "World/South Africa/SEN/Principal/GDP per capita (current US$)", + "World/Europe/SWE/Principal/GDP per capita (current US$)", + "World/Asia/THA/Principal/GDP per capita (current US$)", + "World/North Africa/TUR/Principal/GDP per capita (current US$)", + "World/Pair/USA/Principal/GDP per capita (current US$)", + "World/Latam/VEN/Principal/GDP per capita (current US$)", + "World/Asia/VNM/Principal/GDP per capita (current US$)", + "World/Persian Gulf/YEM/Principal/GDP per capita (current US$)", + "World/South Africa/ZAF/Principal/GDP per capita (current US$)", + "World/Persian Gulf/ARE/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/ARG/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/AZE/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/BGD/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/BRA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/CHL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Pair/CHN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/CMR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/COL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/CRI/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/EGY/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/FRA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/GBR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/GHA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/GRC/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/IDN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/IND/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/ISR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/KOR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/MAR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/MOZ/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/NGA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/OMN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/PAN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/PER/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/PHL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Europe/POL/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/QAT/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Persian Gulf/SAU/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/SEN/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/THA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/North Africa/TUR/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Pair/USA/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Asia/VNM/Principal/GDP per person employed (constant 2017 PPP $)", + "World/South Africa/ZAF/Principal/GDP per person employed (constant 2017 PPP $)", + "World/Latam/ARG/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/AUT/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Persian Gulf/AZE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/BGD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/BRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/CHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Pair/CHN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/CMR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/COL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/CRI/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/DEU/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/EGY/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/ESP/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/FRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/GBR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/GHA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/HRV/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/IDN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/IND/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/ISR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/KOR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/MAR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/MEX/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/MOZ/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/NGA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/NLD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Latam/PAN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/PHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/POL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/SWE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/THA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/North Africa/TUR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Pair/USA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Asia/VNM/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/South Africa/ZAF/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", + "World/Europe/AUT/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/AZE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/BGD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Pair/CHN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/CMR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/COL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/CRI/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/DEU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/DZA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/ESP/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/FRA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/GBR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/GHA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/HRV/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/IDN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/IND/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/ISR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/KOR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/MEX/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/MOZ/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/NGA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/NLD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Latam/PAN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Asia/PHL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/POL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/SAU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Europe/SWE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/North Africa/TUR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Pair/USA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/South Africa/ZAF/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", + "World/Persian Gulf/ARE/Economy/GNI (current US$)", + "World/Latam/ARG/Economy/GNI (current US$)", + "World/Europe/AUT/Economy/GNI (current US$)", + "World/Persian Gulf/AZE/Economy/GNI (current US$)", + "World/Asia/BGD/Economy/GNI (current US$)", + "World/Latam/BRA/Economy/GNI (current US$)", + "World/Latam/CHL/Economy/GNI (current US$)", + "World/Pair/CHN/Economy/GNI (current US$)", + "World/South Africa/CMR/Economy/GNI (current US$)", + "World/Latam/COL/Economy/GNI (current US$)", + "World/Latam/CRI/Economy/GNI (current US$)", + "World/Europe/DEU/Economy/GNI (current US$)", + "World/North Africa/DZA/Economy/GNI (current US$)", + "World/North Africa/EGY/Economy/GNI (current US$)", + "World/Europe/ESP/Economy/GNI (current US$)", + "World/Europe/FRA/Economy/GNI (current US$)", + "World/Europe/GBR/Economy/GNI (current US$)", + "World/South Africa/GHA/Economy/GNI (current US$)", + "World/Europe/HRV/Economy/GNI (current US$)", + "World/Asia/IDN/Economy/GNI (current US$)", + "World/Asia/IND/Economy/GNI (current US$)", + "World/Persian Gulf/IRQ/Economy/GNI (current US$)", + "World/North Africa/ISR/Economy/GNI (current US$)", + "World/Asia/KOR/Economy/GNI (current US$)", + "World/South Africa/LBR/Economy/GNI (current US$)", + "World/North Africa/MAR/Economy/GNI (current US$)", + "World/Latam/MEX/Economy/GNI (current US$)", + "World/South Africa/MOZ/Economy/GNI (current US$)", + "World/South Africa/NGA/Economy/GNI (current US$)", + "World/Europe/NLD/Economy/GNI (current US$)", + "World/Persian Gulf/OMN/Economy/GNI (current US$)", + "World/Latam/PAN/Economy/GNI (current US$)", + "World/Latam/PER/Economy/GNI (current US$)", + "World/Asia/PHL/Economy/GNI (current US$)", + "World/Europe/POL/Economy/GNI (current US$)", + "World/Persian Gulf/QAT/Economy/GNI (current US$)", + "World/Persian Gulf/SAU/Economy/GNI (current US$)", + "World/South Africa/SEN/Economy/GNI (current US$)", + "World/Europe/SWE/Economy/GNI (current US$)", + "World/Asia/THA/Economy/GNI (current US$)", + "World/North Africa/TUR/Economy/GNI (current US$)", + "World/Pair/USA/Economy/GNI (current US$)", + "World/Latam/VEN/Economy/GNI (current US$)", + "World/Asia/VNM/Economy/GNI (current US$)", + "World/Persian Gulf/YEM/Economy/GNI (current US$)", + "World/South Africa/ZAF/Economy/GNI (current US$)", + "World/Persian Gulf/ARE/Economy/General government final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/General government final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/General government final consumption expenditure (current US$)", + "World/Asia/BGD/Economy/General government final consumption expenditure (current US$)", + "World/Latam/BRA/Economy/General government final consumption expenditure (current US$)", + "World/Latam/CHL/Economy/General government final consumption expenditure (current US$)", + "World/Pair/CHN/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/CMR/Economy/General government final consumption expenditure (current US$)", + "World/Latam/COL/Economy/General government final consumption expenditure (current US$)", + "World/Latam/CRI/Economy/General government final consumption expenditure (current US$)", + "World/Europe/DEU/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/DZA/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/EGY/Economy/General government final consumption expenditure (current US$)", + "World/Europe/ESP/Economy/General government final consumption expenditure (current US$)", + "World/Europe/FRA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/GBR/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/GHA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/GRC/Economy/General government final consumption expenditure (current US$)", + "World/Europe/HRV/Economy/General government final consumption expenditure (current US$)", + "World/Asia/IDN/Economy/General government final consumption expenditure (current US$)", + "World/Asia/IND/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/ISR/Economy/General government final consumption expenditure (current US$)", + "World/Asia/KOR/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/General government final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/General government final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/General government final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/General government final consumption expenditure (current US$)", + "World/Latam/PER/Economy/General government final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/General government final consumption expenditure (current US$)", + "World/Europe/POL/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/General government final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/General government final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/General government final consumption expenditure (current US$)", + "World/Asia/THA/Economy/General government final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/General government final consumption expenditure (current US$)", + "World/Pair/USA/Economy/General government final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/General government final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/General government final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/General government final consumption expenditure (current US$)", + "World/Europe/AUT/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/AZE/Exports/Goods exports (BoP, current US$)", + "World/Asia/BGD/Exports/Goods exports (BoP, current US$)", + "World/Latam/BRA/Exports/Goods exports (BoP, current US$)", + "World/Latam/CHL/Exports/Goods exports (BoP, current US$)", + "World/Pair/CHN/Exports/Goods exports (BoP, current US$)", + "World/Latam/COL/Exports/Goods exports (BoP, current US$)", + "World/Latam/CRI/Exports/Goods exports (BoP, current US$)", + "World/Europe/DEU/Exports/Goods exports (BoP, current US$)", + "World/Europe/ESP/Exports/Goods exports (BoP, current US$)", + "World/Europe/FRA/Exports/Goods exports (BoP, current US$)", + "World/Europe/GBR/Exports/Goods exports (BoP, current US$)", + "World/South Africa/GHA/Exports/Goods exports (BoP, current US$)", + "World/Asia/IDN/Exports/Goods exports (BoP, current US$)", + "World/Asia/IND/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/IRQ/Exports/Goods exports (BoP, current US$)", + "World/North Africa/ISR/Exports/Goods exports (BoP, current US$)", + "World/Asia/KOR/Exports/Goods exports (BoP, current US$)", + "World/South Africa/LBR/Exports/Goods exports (BoP, current US$)", + "World/North Africa/MAR/Exports/Goods exports (BoP, current US$)", + "World/Latam/MEX/Exports/Goods exports (BoP, current US$)", + "World/South Africa/MOZ/Exports/Goods exports (BoP, current US$)", + "World/Europe/NLD/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/Goods exports (BoP, current US$)", + "World/Latam/PER/Exports/Goods exports (BoP, current US$)", + "World/Asia/PHL/Exports/Goods exports (BoP, current US$)", + "World/Europe/POL/Exports/Goods exports (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/Goods exports (BoP, current US$)", + "World/South Africa/SEN/Exports/Goods exports (BoP, current US$)", + "World/Europe/SWE/Exports/Goods exports (BoP, current US$)", + "World/Asia/THA/Exports/Goods exports (BoP, current US$)", + "World/North Africa/TUR/Exports/Goods exports (BoP, current US$)", + "World/Pair/USA/Exports/Goods exports (BoP, current US$)", + "World/Latam/VEN/Exports/Goods exports (BoP, current US$)", + "World/Asia/VNM/Exports/Goods exports (BoP, current US$)", + "World/South Africa/ZAF/Exports/Goods exports (BoP, current US$)", + "World/Latam/ARG/Imports/Goods imports (BoP, current US$)", + "World/Europe/AUT/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/AZE/Imports/Goods imports (BoP, current US$)", + "World/Asia/BGD/Imports/Goods imports (BoP, current US$)", + "World/Latam/BRA/Imports/Goods imports (BoP, current US$)", + "World/Latam/CHL/Imports/Goods imports (BoP, current US$)", + "World/Pair/CHN/Imports/Goods imports (BoP, current US$)", + "World/Latam/COL/Imports/Goods imports (BoP, current US$)", + "World/Latam/CRI/Imports/Goods imports (BoP, current US$)", + "World/Europe/DEU/Imports/Goods imports (BoP, current US$)", + "World/North Africa/DZA/Imports/Goods imports (BoP, current US$)", + "World/North Africa/EGY/Imports/Goods imports (BoP, current US$)", + "World/Europe/ESP/Imports/Goods imports (BoP, current US$)", + "World/Europe/FRA/Imports/Goods imports (BoP, current US$)", + "World/Europe/GBR/Imports/Goods imports (BoP, current US$)", + "World/South Africa/GHA/Imports/Goods imports (BoP, current US$)", + "World/Europe/GRC/Imports/Goods imports (BoP, current US$)", + "World/Europe/HRV/Imports/Goods imports (BoP, current US$)", + "World/Asia/IDN/Imports/Goods imports (BoP, current US$)", + "World/Asia/IND/Imports/Goods imports (BoP, current US$)", + "World/North Africa/ISR/Imports/Goods imports (BoP, current US$)", + "World/Asia/KOR/Imports/Goods imports (BoP, current US$)", + "World/South Africa/LBR/Imports/Goods imports (BoP, current US$)", + "World/North Africa/MAR/Imports/Goods imports (BoP, current US$)", + "World/Latam/MEX/Imports/Goods imports (BoP, current US$)", + "World/South Africa/MOZ/Imports/Goods imports (BoP, current US$)", + "World/South Africa/NGA/Imports/Goods imports (BoP, current US$)", + "World/Europe/NLD/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Goods imports (BoP, current US$)", + "World/Latam/PER/Imports/Goods imports (BoP, current US$)", + "World/Asia/PHL/Imports/Goods imports (BoP, current US$)", + "World/Europe/POL/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/SAU/Imports/Goods imports (BoP, current US$)", + "World/South Africa/SEN/Imports/Goods imports (BoP, current US$)", + "World/Europe/SWE/Imports/Goods imports (BoP, current US$)", + "World/Asia/THA/Imports/Goods imports (BoP, current US$)", + "World/North Africa/TUR/Imports/Goods imports (BoP, current US$)", + "World/Pair/USA/Imports/Goods imports (BoP, current US$)", + "World/Asia/VNM/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/YEM/Imports/Goods imports (BoP, current US$)", + "World/South Africa/ZAF/Imports/Goods imports (BoP, current US$)", + "World/Persian Gulf/ARE/Economy/Gross capital formation (current US$)", + "World/Latam/ARG/Economy/Gross capital formation (current US$)", + "World/Europe/AUT/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/AZE/Economy/Gross capital formation (current US$)", + "World/Asia/BGD/Economy/Gross capital formation (current US$)", + "World/Latam/BRA/Economy/Gross capital formation (current US$)", + "World/Latam/CHL/Economy/Gross capital formation (current US$)", + "World/Pair/CHN/Economy/Gross capital formation (current US$)", + "World/South Africa/CMR/Economy/Gross capital formation (current US$)", + "World/Latam/COL/Economy/Gross capital formation (current US$)", + "World/Latam/CRI/Economy/Gross capital formation (current US$)", + "World/Europe/DEU/Economy/Gross capital formation (current US$)", + "World/North Africa/DZA/Economy/Gross capital formation (current US$)", + "World/North Africa/EGY/Economy/Gross capital formation (current US$)", + "World/Europe/ESP/Economy/Gross capital formation (current US$)", + "World/Europe/FRA/Economy/Gross capital formation (current US$)", + "World/Europe/GBR/Economy/Gross capital formation (current US$)", + "World/South Africa/GHA/Economy/Gross capital formation (current US$)", + "World/Europe/HRV/Economy/Gross capital formation (current US$)", + "World/Asia/IDN/Economy/Gross capital formation (current US$)", + "World/Asia/IND/Economy/Gross capital formation (current US$)", + "World/North Africa/ISR/Economy/Gross capital formation (current US$)", + "World/Asia/KOR/Economy/Gross capital formation (current US$)", + "World/North Africa/MAR/Economy/Gross capital formation (current US$)", + "World/Latam/MEX/Economy/Gross capital formation (current US$)", + "World/South Africa/MOZ/Economy/Gross capital formation (current US$)", + "World/South Africa/NGA/Economy/Gross capital formation (current US$)", + "World/Europe/NLD/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/OMN/Economy/Gross capital formation (current US$)", + "World/Latam/PAN/Economy/Gross capital formation (current US$)", + "World/Latam/PER/Economy/Gross capital formation (current US$)", + "World/Asia/PHL/Economy/Gross capital formation (current US$)", + "World/Europe/POL/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/QAT/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/SAU/Economy/Gross capital formation (current US$)", + "World/South Africa/SEN/Economy/Gross capital formation (current US$)", + "World/Europe/SWE/Economy/Gross capital formation (current US$)", + "World/Asia/THA/Economy/Gross capital formation (current US$)", + "World/North Africa/TUR/Economy/Gross capital formation (current US$)", + "World/Pair/USA/Economy/Gross capital formation (current US$)", + "World/Latam/VEN/Economy/Gross capital formation (current US$)", + "World/Asia/VNM/Economy/Gross capital formation (current US$)", + "World/South Africa/ZAF/Economy/Gross capital formation (current US$)", + "World/Persian Gulf/ARE/Economy/Gross domestic savings (current US$)", + "World/Latam/ARG/Economy/Gross domestic savings (current US$)", + "World/Europe/AUT/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/AZE/Economy/Gross domestic savings (current US$)", + "World/Asia/BGD/Economy/Gross domestic savings (current US$)", + "World/Latam/BRA/Economy/Gross domestic savings (current US$)", + "World/Latam/CHL/Economy/Gross domestic savings (current US$)", + "World/Pair/CHN/Economy/Gross domestic savings (current US$)", + "World/South Africa/CMR/Economy/Gross domestic savings (current US$)", + "World/Latam/COL/Economy/Gross domestic savings (current US$)", + "World/Latam/CRI/Economy/Gross domestic savings (current US$)", + "World/Europe/DEU/Economy/Gross domestic savings (current US$)", + "World/North Africa/DZA/Economy/Gross domestic savings (current US$)", + "World/Europe/ESP/Economy/Gross domestic savings (current US$)", + "World/Europe/FRA/Economy/Gross domestic savings (current US$)", + "World/Europe/GBR/Economy/Gross domestic savings (current US$)", + "World/Europe/HRV/Economy/Gross domestic savings (current US$)", + "World/Asia/IDN/Economy/Gross domestic savings (current US$)", + "World/Asia/IND/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/IRQ/Economy/Gross domestic savings (current US$)", + "World/North Africa/ISR/Economy/Gross domestic savings (current US$)", + "World/Asia/KOR/Economy/Gross domestic savings (current US$)", + "World/North Africa/MAR/Economy/Gross domestic savings (current US$)", + "World/Latam/MEX/Economy/Gross domestic savings (current US$)", + "World/South Africa/NGA/Economy/Gross domestic savings (current US$)", + "World/Europe/NLD/Economy/Gross domestic savings (current US$)", + "World/Persian Gulf/OMN/Economy/Gross domestic savings (current US$)", + "World/Latam/PAN/Economy/Gross domestic savings (current US$)", + "World/Latam/PER/Economy/Gross domestic savings (current US$)", + "World/Asia/PHL/Economy/Gross domestic savings (current US$)", + "World/Europe/POL/Economy/Gross domestic savings (current US$)", + "World/Persian 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"World/Latam/BRA/Economy/Gross fixed capital formation (current US$)", + "World/Latam/CHL/Economy/Gross fixed capital formation (current US$)", + "World/Pair/CHN/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/CMR/Economy/Gross fixed capital formation (current US$)", + "World/Latam/COL/Economy/Gross fixed capital formation (current US$)", + "World/Latam/CRI/Economy/Gross fixed capital formation (current US$)", + "World/Europe/DEU/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/DZA/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/EGY/Economy/Gross fixed capital formation (current US$)", + "World/Europe/FRA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/GBR/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/GHA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/HRV/Economy/Gross fixed capital formation (current US$)", + "World/Asia/IDN/Economy/Gross fixed capital formation (current US$)", + "World/Asia/IND/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/ISR/Economy/Gross fixed capital formation (current US$)", + "World/Asia/KOR/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/MAR/Economy/Gross fixed capital formation (current US$)", + "World/Latam/MEX/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/MOZ/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/NGA/Economy/Gross fixed capital formation (current US$)", + "World/Europe/NLD/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/OMN/Economy/Gross fixed capital formation (current US$)", + "World/Latam/PAN/Economy/Gross fixed capital formation (current US$)", + "World/Latam/PER/Economy/Gross fixed capital formation (current US$)", + "World/Asia/PHL/Economy/Gross fixed capital formation (current US$)", + "World/Europe/POL/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/SAU/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/SEN/Economy/Gross fixed capital formation (current US$)", + "World/Europe/SWE/Economy/Gross fixed capital formation (current US$)", + "World/Asia/THA/Economy/Gross fixed capital formation (current US$)", + "World/North Africa/TUR/Economy/Gross fixed capital formation (current US$)", + "World/Pair/USA/Economy/Gross fixed capital formation (current US$)", + "World/Latam/VEN/Economy/Gross fixed capital formation (current US$)", + "World/Asia/VNM/Economy/Gross fixed capital formation (current US$)", + "World/South Africa/ZAF/Economy/Gross fixed capital formation (current US$)", + "World/Persian Gulf/ARE/Economy/Gross national expenditure (current US$)", + "World/Latam/ARG/Economy/Gross national expenditure (current US$)", + "World/Europe/AUT/Economy/Gross national expenditure (current US$)", + "World/Persian 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"World/South Africa/GHA/Economy/Gross national expenditure (current US$)", + "World/Europe/GRC/Economy/Gross national expenditure (current US$)", + "World/Europe/HRV/Economy/Gross national expenditure (current US$)", + "World/Asia/IDN/Economy/Gross national expenditure (current US$)", + "World/Asia/IND/Economy/Gross national expenditure (current US$)", + "World/Persian Gulf/IRQ/Economy/Gross national expenditure (current US$)", + "World/North Africa/ISR/Economy/Gross national expenditure (current US$)", + "World/Asia/KOR/Economy/Gross national expenditure (current US$)", + "World/North Africa/MAR/Economy/Gross national expenditure (current US$)", + "World/Latam/MEX/Economy/Gross national expenditure (current US$)", + "World/South Africa/MOZ/Economy/Gross national expenditure (current US$)", + "World/South Africa/NGA/Economy/Gross national expenditure (current US$)", + "World/Europe/NLD/Economy/Gross national expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Gross national 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Africa/MOZ/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/NGA/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/NLD/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Persian Gulf/OMN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Latam/PAN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Latam/PER/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/POL/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Persian Gulf/SAU/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/South Africa/SEN/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Europe/SWE/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/North Africa/TUR/Economy/Gross value added at basic prices (GVA) (current US$)", + "World/Pair/USA/Economy/Gross value added at basic 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"World/Latam/MEX/Health/Hospital beds (per 1,000 people)", + "World/South Africa/MOZ/Health/Hospital beds (per 1,000 people)", + "World/South Africa/NGA/Health/Hospital beds (per 1,000 people)", + "World/Europe/NLD/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/OMN/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/SAU/Health/Hospital beds (per 1,000 people)", + "World/North Africa/TUR/Health/Hospital beds (per 1,000 people)", + "World/Pair/USA/Health/Hospital beds (per 1,000 people)", + "World/South Africa/ZAF/Health/Hospital beds (per 1,000 people)", + "World/Persian Gulf/ARE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/ARG/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/AUT/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/AZE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + 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"World/Asia/KOR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/MAR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/MEX/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/MOZ/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/NGA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/NLD/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/OMN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/PAN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/PER/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/PHL/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/POL/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/QAT/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Persian Gulf/SAU/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/SEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/SWE/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/THA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/North Africa/TUR/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Pair/USA/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Latam/VEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Asia/VNM/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/South Africa/ZAF/Economy/Households and NPISHs Final consumption expenditure (current US$)", + "World/Europe/AUT/Exports/ICT service exports (BoP, current US$)", + "World/Asia/BGD/Exports/ICT service exports (BoP, current US$)", + "World/Latam/CHL/Exports/ICT service exports (BoP, current US$)", + "World/Pair/CHN/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/CMR/Exports/ICT service exports (BoP, current US$)", + "World/Latam/CRI/Exports/ICT service exports (BoP, current US$)", + "World/Europe/DEU/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/DZA/Exports/ICT service exports (BoP, current US$)", + "World/Europe/ESP/Exports/ICT service exports (BoP, current US$)", + "World/Europe/GBR/Exports/ICT service exports (BoP, current US$)", + "World/Europe/GRC/Exports/ICT service exports (BoP, current US$)", + "World/Europe/HRV/Exports/ICT service exports (BoP, current US$)", + "World/Asia/IND/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/ISR/Exports/ICT service exports (BoP, current US$)", + "World/Asia/KOR/Exports/ICT service exports (BoP, current US$)", + "World/North Africa/MAR/Exports/ICT service exports (BoP, current US$)", + "World/Latam/MEX/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/NGA/Exports/ICT service exports (BoP, current US$)", + "World/Europe/NLD/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/OMN/Exports/ICT service exports (BoP, current US$)", + "World/Latam/PAN/Exports/ICT service exports (BoP, current US$)", + "World/Europe/POL/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/QAT/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/SAU/Exports/ICT service exports (BoP, current US$)", + "World/Europe/SWE/Exports/ICT service exports (BoP, current US$)", + "World/Asia/THA/Exports/ICT service exports (BoP, current US$)", + "World/Pair/USA/Exports/ICT service exports (BoP, current US$)", + "World/South Africa/ZAF/Exports/ICT service exports (BoP, current US$)", + "World/Persian Gulf/ARE/Imports/Import unit value index (2000 = 100)", + "World/Europe/AUT/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import unit value index (2000 = 100)", + "World/Asia/BGD/Imports/Import unit value index (2000 = 100)", + "World/Latam/CRI/Imports/Import unit value index (2000 = 100)", + "World/Europe/DEU/Imports/Import unit value index (2000 = 100)", + "World/North Africa/EGY/Imports/Import unit value index (2000 = 100)", + "World/Europe/ESP/Imports/Import unit value index (2000 = 100)", + "World/Europe/FRA/Imports/Import unit value index (2000 = 100)", + "World/Europe/GRC/Imports/Import unit value index (2000 = 100)", + "World/Europe/HRV/Imports/Import unit value index (2000 = 100)", + "World/Latam/MEX/Imports/Import unit value index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import unit value index (2000 = 100)", + "World/Europe/NLD/Imports/Import unit value index (2000 = 100)", + "World/Latam/PAN/Imports/Import unit value index (2000 = 100)", + "World/Europe/POL/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import unit value index (2000 = 100)", + "World/Europe/SWE/Imports/Import unit value index (2000 = 100)", + "World/Asia/THA/Imports/Import unit value index (2000 = 100)", + "World/Persian Gulf/ARE/Imports/Import value index (2000 = 100)", + "World/Latam/ARG/Imports/Import value index (2000 = 100)", + "World/Europe/AUT/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import value index (2000 = 100)", + "World/Asia/BGD/Imports/Import value index (2000 = 100)", + "World/Latam/BRA/Imports/Import value index (2000 = 100)", + "World/Latam/CHL/Imports/Import value index (2000 = 100)", + "World/Pair/CHN/Imports/Import value index (2000 = 100)", + "World/Latam/COL/Imports/Import value index (2000 = 100)", + "World/Latam/CRI/Imports/Import value index (2000 = 100)", + "World/Europe/DEU/Imports/Import value index (2000 = 100)", + "World/North Africa/DZA/Imports/Import value index (2000 = 100)", + "World/North Africa/EGY/Imports/Import value index (2000 = 100)", + "World/Europe/ESP/Imports/Import value index (2000 = 100)", + "World/Europe/FRA/Imports/Import value index (2000 = 100)", + "World/Europe/GBR/Imports/Import value index (2000 = 100)", + "World/Europe/GRC/Imports/Import value index (2000 = 100)", + "World/Europe/HRV/Imports/Import value index (2000 = 100)", + "World/Asia/IDN/Imports/Import value index (2000 = 100)", + "World/Asia/IND/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/IRQ/Imports/Import value index (2000 = 100)", + "World/North Africa/ISR/Imports/Import value index (2000 = 100)", + "World/Asia/KOR/Imports/Import value index (2000 = 100)", + "World/North Africa/MAR/Imports/Import value index (2000 = 100)", + "World/Latam/MEX/Imports/Import value index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import value index (2000 = 100)", + "World/South Africa/NGA/Imports/Import value index (2000 = 100)", + "World/Europe/NLD/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/OMN/Imports/Import value index (2000 = 100)", + "World/Latam/PAN/Imports/Import value index (2000 = 100)", + "World/Latam/PER/Imports/Import value index (2000 = 100)", + "World/Asia/PHL/Imports/Import value index (2000 = 100)", + "World/Europe/POL/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/SAU/Imports/Import value index (2000 = 100)", + "World/South Africa/SEN/Imports/Import value index (2000 = 100)", + "World/Europe/SWE/Imports/Import value index (2000 = 100)", + "World/Asia/THA/Imports/Import value index (2000 = 100)", + "World/North Africa/TUR/Imports/Import value index (2000 = 100)", + "World/Pair/USA/Imports/Import value index (2000 = 100)", + "World/Asia/VNM/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/YEM/Imports/Import value index (2000 = 100)", + "World/South Africa/ZAF/Imports/Import value index (2000 = 100)", + "World/Persian Gulf/ARE/Imports/Import volume index (2000 = 100)", + "World/Latam/ARG/Imports/Import volume index (2000 = 100)", + "World/Europe/AUT/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/AZE/Imports/Import volume index (2000 = 100)", + "World/Asia/BGD/Imports/Import volume index (2000 = 100)", + "World/Latam/BRA/Imports/Import volume index (2000 = 100)", + "World/Latam/CHL/Imports/Import volume index (2000 = 100)", + "World/Pair/CHN/Imports/Import volume index (2000 = 100)", + "World/Latam/COL/Imports/Import volume index (2000 = 100)", + "World/Latam/CRI/Imports/Import volume index (2000 = 100)", + "World/Europe/DEU/Imports/Import volume index (2000 = 100)", + "World/North Africa/DZA/Imports/Import volume index (2000 = 100)", + "World/North Africa/EGY/Imports/Import volume index (2000 = 100)", + "World/Europe/GBR/Imports/Import volume index (2000 = 100)", + "World/Asia/IDN/Imports/Import volume index (2000 = 100)", + "World/Asia/IND/Imports/Import volume index (2000 = 100)", + "World/North Africa/ISR/Imports/Import volume index (2000 = 100)", + "World/Asia/KOR/Imports/Import volume index (2000 = 100)", + "World/North Africa/MAR/Imports/Import volume index (2000 = 100)", + "World/Latam/MEX/Imports/Import volume index (2000 = 100)", + "World/South Africa/MOZ/Imports/Import volume index (2000 = 100)", + "World/South Africa/NGA/Imports/Import volume index (2000 = 100)", + "World/Europe/NLD/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/OMN/Imports/Import volume index (2000 = 100)", + "World/Latam/PAN/Imports/Import volume index (2000 = 100)", + "World/Latam/PER/Imports/Import volume index (2000 = 100)", + "World/Asia/PHL/Imports/Import volume index (2000 = 100)", + "World/Europe/POL/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/QAT/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/SAU/Imports/Import volume index (2000 = 100)", + "World/South Africa/SEN/Imports/Import volume index (2000 = 100)", + "World/Asia/THA/Imports/Import volume index (2000 = 100)", + "World/North Africa/TUR/Imports/Import volume index (2000 = 100)", + "World/Pair/USA/Imports/Import volume index (2000 = 100)", + "World/Latam/VEN/Imports/Import volume index (2000 = 100)", + "World/Asia/VNM/Imports/Import volume index (2000 = 100)", + "World/Persian Gulf/YEM/Imports/Import volume index (2000 = 100)", + "World/South Africa/ZAF/Imports/Import volume index (2000 = 100)", + "World/Latam/ARG/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/AUT/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/AZE/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/BGD/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/BRA/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/CHL/Imports/Imports of goods and services (BoP, current US$)", + "World/Pair/CHN/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/CMR/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/COL/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/CRI/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/DEU/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/DZA/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/EGY/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/ESP/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/FRA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/GBR/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/GHA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/GRC/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/HRV/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/IDN/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/IND/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/ISR/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/KOR/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/MAR/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/MEX/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/MOZ/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/NGA/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/NLD/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/PAN/Imports/Imports of goods and services (BoP, current US$)", + "World/Latam/PER/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/PHL/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/POL/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/SAU/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/SEN/Imports/Imports of goods and services (BoP, current US$)", + "World/Europe/SWE/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/THA/Imports/Imports of goods and services (BoP, current US$)", + "World/North Africa/TUR/Imports/Imports of goods and services (BoP, current US$)", + "World/Pair/USA/Imports/Imports of goods and services (BoP, current US$)", + "World/Asia/VNM/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/YEM/Imports/Imports of goods and services (BoP, current US$)", + "World/South Africa/ZAF/Imports/Imports of goods and services (BoP, current US$)", + "World/Persian Gulf/ARE/Imports/Imports of goods and services (current US$)", + "World/Latam/ARG/Imports/Imports of goods and services (current US$)", + "World/Europe/AUT/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/AZE/Imports/Imports of goods and services (current US$)", + "World/Asia/BGD/Imports/Imports of goods and services (current US$)", + "World/Latam/BRA/Imports/Imports of goods and services (current US$)", + "World/Latam/CHL/Imports/Imports of goods and services (current US$)", + "World/Pair/CHN/Imports/Imports of goods and services (current US$)", + "World/Latam/COL/Imports/Imports of goods and services (current US$)", + "World/Latam/CRI/Imports/Imports of goods and services (current US$)", + "World/Europe/DEU/Imports/Imports of goods and services (current US$)", + "World/North Africa/DZA/Imports/Imports of goods and services (current US$)", + "World/North Africa/EGY/Imports/Imports of goods and services (current US$)", + "World/Europe/ESP/Imports/Imports of goods and services (current US$)", + "World/Europe/FRA/Imports/Imports of goods and services (current US$)", + "World/Europe/GBR/Imports/Imports of goods and services (current US$)", + "World/South Africa/GHA/Imports/Imports of goods and services (current US$)", + "World/Europe/GRC/Imports/Imports of goods and services (current US$)", + "World/Europe/HRV/Imports/Imports of goods and services (current US$)", + "World/Asia/IDN/Imports/Imports of goods and services (current US$)", + "World/Asia/IND/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/IRQ/Imports/Imports of goods and services (current US$)", + "World/North Africa/ISR/Imports/Imports of goods and services (current US$)", + "World/Asia/KOR/Imports/Imports of goods and services (current US$)", + "World/North Africa/MAR/Imports/Imports of goods and services (current US$)", + "World/Latam/MEX/Imports/Imports of goods and services (current US$)", + "World/South Africa/MOZ/Imports/Imports of goods and services (current US$)", + "World/South Africa/NGA/Imports/Imports of goods and services (current US$)", + "World/Europe/NLD/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/OMN/Imports/Imports of goods and services (current US$)", + "World/Latam/PAN/Imports/Imports of goods and services (current US$)", + "World/Latam/PER/Imports/Imports of goods and services (current US$)", + "World/Asia/PHL/Imports/Imports of goods and services (current US$)", + "World/Europe/POL/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/QAT/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/SAU/Imports/Imports of goods and services (current US$)", + "World/South Africa/SEN/Imports/Imports of goods and services (current US$)", + "World/Europe/SWE/Imports/Imports of goods and services (current US$)", + "World/Asia/THA/Imports/Imports of goods and services (current US$)", + "World/North Africa/TUR/Imports/Imports of goods and services (current US$)", + "World/Pair/USA/Imports/Imports of goods and services (current US$)", + "World/Latam/VEN/Imports/Imports of goods and services (current US$)", + "World/Asia/VNM/Imports/Imports of goods and services (current US$)", + "World/South Africa/ZAF/Imports/Imports of goods and services (current US$)", + "World/Persian Gulf/ARE/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/AUT/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/AZE/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/BRA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Pair/CHN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/CMR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/CRI/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/EGY/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/ESP/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/GBR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/GHA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/HRV/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/IDN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/IND/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/IRQ/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/ISR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/LBR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/MOZ/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/OMN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Latam/PER/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Europe/POL/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/QAT/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/SAU/Health/Incidence of tuberculosis (per 100,000 people)", + "World/South Africa/SEN/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/THA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/North Africa/TUR/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Pair/USA/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Asia/VNM/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/YEM/Health/Incidence of tuberculosis (per 100,000 people)", + "World/Persian Gulf/ARE/Economy/Industry (including construction), value added (current US$)", + "World/Latam/ARG/Economy/Industry (including construction), value added (current US$)", + "World/Europe/AUT/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/AZE/Economy/Industry (including construction), value added (current US$)", + "World/Asia/BGD/Economy/Industry (including construction), value added (current US$)", + "World/Latam/BRA/Economy/Industry (including construction), value added (current US$)", + "World/Latam/CHL/Economy/Industry (including construction), value added (current US$)", + "World/Pair/CHN/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/CMR/Economy/Industry (including construction), value added (current US$)", + "World/Latam/COL/Economy/Industry (including construction), value added (current US$)", + "World/Latam/CRI/Economy/Industry (including construction), value added (current US$)", + "World/Europe/DEU/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/DZA/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/EGY/Economy/Industry (including construction), value added (current US$)", + "World/Europe/ESP/Economy/Industry (including construction), value added (current US$)", + "World/Europe/FRA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/GBR/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/GHA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/GRC/Economy/Industry (including construction), value added (current US$)", + "World/Europe/HRV/Economy/Industry (including construction), value added (current US$)", + "World/Asia/IDN/Economy/Industry (including construction), value added (current US$)", + "World/Asia/IND/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/IRQ/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/ISR/Economy/Industry (including construction), value added (current US$)", + "World/Asia/KOR/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/LBR/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/MAR/Economy/Industry (including construction), value added (current US$)", + "World/Latam/MEX/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/MOZ/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/NGA/Economy/Industry (including construction), value added (current US$)", + "World/Europe/NLD/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/OMN/Economy/Industry (including construction), value added (current US$)", + "World/Latam/PAN/Economy/Industry (including construction), value added (current US$)", + "World/Latam/PER/Economy/Industry (including construction), value added (current US$)", + "World/Asia/PHL/Economy/Industry (including construction), value added (current US$)", + "World/Europe/POL/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/SAU/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/SEN/Economy/Industry (including construction), value added (current US$)", + "World/Europe/SWE/Economy/Industry (including construction), value added (current US$)", + "World/Asia/THA/Economy/Industry (including construction), value added (current US$)", + "World/North Africa/TUR/Economy/Industry (including construction), value added (current US$)", + "World/Pair/USA/Economy/Industry (including construction), value added (current US$)", + "World/Latam/VEN/Economy/Industry (including construction), value added (current US$)", + "World/Asia/VNM/Economy/Industry (including construction), value added (current US$)", + "World/Persian Gulf/YEM/Economy/Industry (including construction), value added (current US$)", + "World/South Africa/ZAF/Economy/Industry (including construction), value added (current US$)", + "World/Latam/BRA/Mortality/Intentional homicides (per 100,000 people)", + "World/Pair/CHN/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/COL/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/CRI/Mortality/Intentional homicides (per 100,000 people)", + "World/North Africa/EGY/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/ESP/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/GBR/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/IDN/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/IND/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/IRQ/Mortality/Intentional homicides (per 100,000 people)", + "World/North Africa/ISR/Mortality/Intentional homicides (per 100,000 people)", + "World/South Africa/MOZ/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/NLD/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/PAN/Mortality/Intentional homicides (per 100,000 people)", + "World/Latam/PER/Mortality/Intentional homicides (per 100,000 people)", + "World/Europe/POL/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/THA/Mortality/Intentional homicides (per 100,000 people)", + "World/Asia/VNM/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/YEM/Mortality/Intentional homicides (per 100,000 people)", + "World/South Africa/ZAF/Mortality/Intentional homicides (per 100,000 people)", + "World/Persian Gulf/ARE/Migration/International migrant stock (% of population)", + "World/Europe/AUT/Migration/International migrant stock (% of population)", + "World/Persian Gulf/AZE/Migration/International migrant stock (% of population)", + "World/Latam/CHL/Migration/International migrant stock (% of population)", + "World/Pair/CHN/Migration/International migrant stock (% of population)", + "World/Europe/DEU/Migration/International migrant stock (% of population)", + "World/North Africa/DZA/Migration/International migrant stock (% of population)", + "World/Europe/ESP/Migration/International migrant stock (% of population)", + "World/Europe/FRA/Migration/International migrant stock (% of population)", + "World/Europe/GBR/Migration/International migrant stock (% of population)", + "World/Europe/GRC/Migration/International migrant stock (% of population)", + "World/Europe/HRV/Migration/International migrant stock (% of population)", + "World/Asia/IND/Migration/International migrant stock (% of population)", + "World/North Africa/ISR/Migration/International migrant stock (% of population)", + "World/Asia/KOR/Migration/International migrant stock (% of population)", + "World/North Africa/MAR/Migration/International migrant stock (% of population)", + "World/Latam/MEX/Migration/International migrant stock (% of population)", + "World/South Africa/MOZ/Migration/International migrant stock (% of population)", + "World/South Africa/NGA/Migration/International migrant stock (% of population)", + "World/Europe/NLD/Migration/International migrant stock (% of population)", + "World/Latam/PAN/Migration/International migrant stock (% of population)", + "World/Latam/PER/Migration/International migrant stock (% of population)", + "World/Europe/POL/Migration/International migrant stock (% of population)", + "World/Persian Gulf/SAU/Migration/International migrant stock (% of population)", + "World/South Africa/SEN/Migration/International migrant stock (% of population)", + "World/Europe/SWE/Migration/International migrant stock (% of population)", + "World/Asia/THA/Migration/International migrant stock (% of population)", + "World/North Africa/TUR/Migration/International migrant stock (% of population)", + "World/Pair/USA/Migration/International migrant stock (% of population)", + "World/Asia/VNM/Migration/International migrant stock (% of population)", + "World/Persian Gulf/YEM/Migration/International migrant stock (% of population)", + "World/Persian Gulf/ARE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/AUT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/AZE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/BRA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/CHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Pair/CHN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/COL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/CRI/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/DEU/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/DZA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/EGY/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/GHA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/GRC/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/IDN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/IND/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/IRQ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/ISR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/KOR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/LBR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/MEX/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/MOZ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/NGA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/NLD/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/OMN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/PAN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/PER/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/PHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/POL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/QAT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Europe/SWE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/North Africa/TUR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Pair/USA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Latam/VEN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Asia/VNM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/YEM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/South Africa/ZAF/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "World/Persian Gulf/ARE/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/ARG/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/AZE/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/BGD/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/CHL/Mortality/Lifetime risk of maternal death (%)", + "World/Pair/CHN/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/CMR/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/COL/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/CRI/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/EGY/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/ESP/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/GBR/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/GHA/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/GRC/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/HRV/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/IDN/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/IND/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/ISR/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/KOR/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/LBR/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/MAR/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/MEX/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/MOZ/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/NGA/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/NLD/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/PAN/Mortality/Lifetime risk of maternal death (%)", + "World/Latam/PER/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/PHL/Mortality/Lifetime risk of maternal death (%)", + "World/Europe/POL/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/QAT/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/SAU/Mortality/Lifetime risk of maternal death (%)", + "World/South Africa/SEN/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/THA/Mortality/Lifetime risk of maternal death (%)", + "World/North Africa/TUR/Mortality/Lifetime risk of maternal death (%)", + "World/Pair/USA/Mortality/Lifetime risk of maternal death (%)", + "World/Asia/VNM/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/YEM/Mortality/Lifetime risk of maternal death (%)", + "World/Persian Gulf/ARE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/ARG/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/AZE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/BGD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/CHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Pair/CHN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/CMR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/COL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/CRI/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/EGY/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/ESP/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/GBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/GHA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/GRC/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/HRV/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/IDN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/IND/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/ISR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/KOR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/LBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/MAR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/MEX/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/MOZ/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/NGA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/NLD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/PAN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/PER/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/PHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Europe/POL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/QAT/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/SAU/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/South Africa/SEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/THA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/North Africa/TUR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Pair/USA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Latam/VEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Asia/VNM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/YEM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", + "World/Persian Gulf/ARE/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/ARG/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/AUT/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/AZE/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/BGD/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/BRA/Industry/Livestock production index (2014-2016 = 100)", + "World/Pair/CHN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/COL/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/CRI/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/DZA/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/EGY/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/GBR/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/GHA/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/IDN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/IND/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/ISR/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/KOR/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/LBR/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/MAR/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/MEX/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/MOZ/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/NGA/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/NLD/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/OMN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/PAN/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/PER/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/PHL/Industry/Livestock production index (2014-2016 = 100)", + "World/Europe/POL/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/QAT/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/SAU/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/SEN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/THA/Industry/Livestock production index (2014-2016 = 100)", + "World/North Africa/TUR/Industry/Livestock production index (2014-2016 = 100)", + "World/Pair/USA/Industry/Livestock production index (2014-2016 = 100)", + "World/Latam/VEN/Industry/Livestock production index (2014-2016 = 100)", + "World/Asia/VNM/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/YEM/Industry/Livestock production index (2014-2016 = 100)", + "World/South Africa/ZAF/Industry/Livestock production index (2014-2016 = 100)", + "World/Persian Gulf/ARE/Health/Low-birthweight babies (% of births)", + "World/Asia/BGD/Health/Low-birthweight babies (% of births)", + "World/Latam/BRA/Health/Low-birthweight babies (% of births)", + "World/Latam/CHL/Health/Low-birthweight babies (% of births)", + "World/Pair/CHN/Health/Low-birthweight babies (% of births)", + "World/South Africa/CMR/Health/Low-birthweight babies (% of births)", + "World/Latam/COL/Health/Low-birthweight babies (% of births)", + "World/Latam/CRI/Health/Low-birthweight babies (% of births)", + "World/North Africa/DZA/Health/Low-birthweight babies (% of births)", + "World/Europe/ESP/Health/Low-birthweight babies (% of births)", + "World/Europe/FRA/Health/Low-birthweight babies (% of births)", + "World/Europe/GBR/Health/Low-birthweight babies (% of births)", + "World/South Africa/GHA/Health/Low-birthweight babies (% of births)", + "World/Europe/HRV/Health/Low-birthweight babies (% of births)", + "World/Asia/IDN/Health/Low-birthweight babies (% of births)", + "World/North Africa/ISR/Health/Low-birthweight babies (% of births)", + "World/Asia/KOR/Health/Low-birthweight babies (% of births)", + "World/North Africa/MAR/Health/Low-birthweight babies (% of births)", + "World/Latam/MEX/Health/Low-birthweight babies (% of births)", + "World/South Africa/MOZ/Health/Low-birthweight babies (% of births)", + "World/Europe/NLD/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/OMN/Health/Low-birthweight babies (% of births)", + "World/Latam/PAN/Health/Low-birthweight babies (% of births)", + "World/Latam/PER/Health/Low-birthweight babies (% of births)", + "World/Asia/PHL/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/QAT/Health/Low-birthweight babies (% of births)", + "World/South Africa/SEN/Health/Low-birthweight babies (% of births)", + "World/Asia/THA/Health/Low-birthweight babies (% of births)", + "World/North Africa/TUR/Health/Low-birthweight babies (% of births)", + "World/Asia/VNM/Health/Low-birthweight babies (% of births)", + "World/South Africa/ZAF/Health/Low-birthweight babies (% of births)", + "World/Persian Gulf/ARE/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/BGD/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/CHL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Pair/CHN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/COL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/South Africa/GHA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Europe/HRV/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/IDN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/IND/Economy/Market capitalization of listed domestic companies (current US$)", + "World/North Africa/ISR/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/KOR/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/MEX/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/OMN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Latam/PAN/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Europe/POL/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/QAT/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/SAU/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/THA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Pair/USA/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Asia/VNM/Economy/Market capitalization of listed domestic companies (current US$)", + "World/South Africa/ZAF/Economy/Market capitalization of listed domestic companies (current US$)", + "World/Persian Gulf/ARE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/ARG/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/AZE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/BGD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/CHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Pair/CHN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/CMR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/CRI/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/DZA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/EGY/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/ESP/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/GBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/GHA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/HRV/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/IDN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/IND/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/ISR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/KOR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/LBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/MAR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/MEX/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/MOZ/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/NGA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/NLD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/PAN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Latam/PER/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/PHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Europe/POL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/QAT/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/SAU/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/South Africa/SEN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/THA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/North Africa/TUR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Pair/USA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Asia/VNM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/YEM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "World/Persian Gulf/ARE/Exports/Merchandise exports (current US$)", + "World/Europe/AUT/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/AZE/Exports/Merchandise exports (current US$)", + "World/Asia/BGD/Exports/Merchandise exports (current US$)", + "World/Latam/BRA/Exports/Merchandise exports (current US$)", + "World/Latam/CHL/Exports/Merchandise exports (current US$)", + "World/Pair/CHN/Exports/Merchandise exports (current US$)", + "World/Latam/COL/Exports/Merchandise exports (current US$)", + "World/Latam/CRI/Exports/Merchandise exports (current US$)", + "World/Europe/DEU/Exports/Merchandise exports (current US$)", + "World/North Africa/EGY/Exports/Merchandise exports (current US$)", + "World/Europe/ESP/Exports/Merchandise exports (current US$)", + "World/Europe/FRA/Exports/Merchandise exports (current US$)", + "World/Europe/GBR/Exports/Merchandise exports (current US$)", + "World/South Africa/GHA/Exports/Merchandise exports (current US$)", + "World/Asia/IDN/Exports/Merchandise exports (current US$)", + "World/Asia/IND/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports (current US$)", + "World/North Africa/ISR/Exports/Merchandise exports (current US$)", + "World/Asia/KOR/Exports/Merchandise exports (current US$)", + "World/North Africa/MAR/Exports/Merchandise exports (current US$)", + "World/Latam/MEX/Exports/Merchandise exports (current US$)", + "World/South Africa/MOZ/Exports/Merchandise exports (current US$)", + "World/Europe/NLD/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/OMN/Exports/Merchandise exports (current US$)", + "World/Latam/PAN/Exports/Merchandise exports (current US$)", + "World/Latam/PER/Exports/Merchandise exports (current US$)", + "World/Asia/PHL/Exports/Merchandise exports (current US$)", + "World/Europe/POL/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/QAT/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/SAU/Exports/Merchandise exports (current US$)", + "World/South Africa/SEN/Exports/Merchandise exports (current US$)", + "World/Europe/SWE/Exports/Merchandise exports (current US$)", + "World/Asia/THA/Exports/Merchandise exports (current US$)", + "World/North Africa/TUR/Exports/Merchandise exports (current US$)", + "World/Pair/USA/Exports/Merchandise exports (current US$)", + "World/Latam/VEN/Exports/Merchandise exports (current US$)", + "World/Asia/VNM/Exports/Merchandise exports (current US$)", + "World/South Africa/ZAF/Exports/Merchandise exports (current US$)", + "World/Persian Gulf/ARE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/AUT/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/AZE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/BGD/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/BRA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/CHL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Pair/CHN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/COL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/CRI/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/DEU/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/DZA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/EGY/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/ESP/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/FRA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/GBR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/GHA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/IDN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/IND/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/KOR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/MAR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/MEX/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/MOZ/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/NGA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/NLD/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/OMN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/PER/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/PHL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/POL/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/QAT/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/SEN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Europe/SWE/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/THA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/North Africa/TUR/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Pair/USA/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Latam/VEN/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Asia/VNM/Exports/Merchandise exports by the reporting economy (current US$)", + "World/South Africa/ZAF/Exports/Merchandise exports by the reporting economy (current US$)", + "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/AZE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/BGD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/GBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/LBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/MOZ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/NGA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/NLD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/PAN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/PER/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/PHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/POL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/QAT/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Europe/SWE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Asia/THA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Pair/USA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Latam/VEN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/South Africa/ZAF/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/AUT/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/BRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/FRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/IND/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/MOZ/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/NGA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Europe/NLD/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/OMN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/PAN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Latam/PER/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Asia/PHL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/QAT/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/SAU/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Pair/USA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/South Africa/ZAF/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "World/Persian Gulf/ARE/Imports/Merchandise imports (current US$)", + "World/Latam/ARG/Imports/Merchandise imports (current US$)", + "World/Europe/AUT/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/AZE/Imports/Merchandise imports (current US$)", + "World/Asia/BGD/Imports/Merchandise imports (current US$)", + "World/Latam/BRA/Imports/Merchandise imports (current US$)", + "World/Latam/CHL/Imports/Merchandise imports (current US$)", + "World/Pair/CHN/Imports/Merchandise imports (current US$)", + "World/Latam/COL/Imports/Merchandise imports (current US$)", + "World/Latam/CRI/Imports/Merchandise imports (current US$)", + "World/Europe/DEU/Imports/Merchandise imports (current US$)", + "World/North Africa/DZA/Imports/Merchandise imports (current US$)", + "World/North Africa/EGY/Imports/Merchandise imports (current US$)", + "World/Europe/ESP/Imports/Merchandise imports (current US$)", + "World/Europe/FRA/Imports/Merchandise imports (current US$)", + "World/Europe/GBR/Imports/Merchandise imports (current US$)", + "World/Europe/GRC/Imports/Merchandise imports (current US$)", + "World/Europe/HRV/Imports/Merchandise imports (current US$)", + "World/Asia/IDN/Imports/Merchandise imports (current US$)", + "World/Asia/IND/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/IRQ/Imports/Merchandise imports (current US$)", + "World/North Africa/ISR/Imports/Merchandise imports (current US$)", + "World/Asia/KOR/Imports/Merchandise imports (current US$)", + "World/North Africa/MAR/Imports/Merchandise imports (current US$)", + "World/Latam/MEX/Imports/Merchandise imports (current US$)", + "World/South Africa/MOZ/Imports/Merchandise imports (current US$)", + "World/South Africa/NGA/Imports/Merchandise imports (current US$)", + "World/Europe/NLD/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/OMN/Imports/Merchandise imports (current US$)", + "World/Latam/PAN/Imports/Merchandise imports (current US$)", + "World/Latam/PER/Imports/Merchandise imports (current US$)", + "World/Asia/PHL/Imports/Merchandise imports (current US$)", + "World/Europe/POL/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/QAT/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/SAU/Imports/Merchandise imports (current US$)", + "World/South Africa/SEN/Imports/Merchandise imports (current US$)", + "World/Europe/SWE/Imports/Merchandise imports (current US$)", + "World/Asia/THA/Imports/Merchandise imports (current US$)", + "World/North Africa/TUR/Imports/Merchandise imports (current US$)", + "World/Pair/USA/Imports/Merchandise imports (current US$)", + "World/Asia/VNM/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/YEM/Imports/Merchandise imports (current US$)", + "World/South Africa/ZAF/Imports/Merchandise imports (current US$)", + "World/Persian Gulf/ARE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/ARG/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/AUT/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/AZE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/BGD/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/BRA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/CHL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Pair/CHN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/CMR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/COL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/CRI/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/DEU/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/DZA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/EGY/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/ESP/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/FRA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/GBR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/GHA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/GRC/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/HRV/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/IDN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/IND/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/IRQ/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/ISR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/KOR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/MAR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/MEX/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/MOZ/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/NGA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/NLD/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/OMN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/PAN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Latam/PER/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/PHL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/POL/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/QAT/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Persian Gulf/SAU/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/SEN/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Europe/SWE/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/THA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/North Africa/TUR/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Pair/USA/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/VNM/Imports/Merchandise imports by the reporting economy (current US$)", + "World/South Africa/ZAF/Imports/Merchandise imports by the reporting economy (current US$)", + "World/Asia/BGD/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/IDN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/South Africa/NGA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/OMN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/PHL/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/THA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Asia/VNM/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Persian Gulf/YEM/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", + "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/CHL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/DEU/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/FRA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/IDN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/MOZ/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/South Africa/NGA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/NLD/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/PAN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/PHL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Europe/SWE/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/THA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Asia/VNM/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "World/Latam/ARG/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/BRA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/CHL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/South Africa/LBR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/PAN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/SWE/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Latam/VEN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/South Africa/ZAF/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/FRA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Asia/KOR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/MOZ/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/NLD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/OMN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/South Africa/SEN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/YEM/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "World/Persian Gulf/ARE/Environment/Methane emissions (% change from 1990)", + "World/Europe/AUT/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/AZE/Environment/Methane emissions (% change from 1990)", + "World/Asia/BGD/Environment/Methane emissions (% change from 1990)", + "World/Latam/CHL/Environment/Methane emissions (% change from 1990)", + "World/Pair/CHN/Environment/Methane emissions (% change from 1990)", + "World/Latam/COL/Environment/Methane emissions (% change from 1990)", + "World/Europe/DEU/Environment/Methane emissions (% change from 1990)", + "World/North Africa/DZA/Environment/Methane emissions (% change from 1990)", + "World/North Africa/EGY/Environment/Methane emissions (% change from 1990)", + "World/Europe/ESP/Environment/Methane emissions (% change from 1990)", + "World/Europe/FRA/Environment/Methane emissions (% change from 1990)", + "World/Europe/GBR/Environment/Methane emissions (% change from 1990)", + "World/South Africa/GHA/Environment/Methane emissions (% change from 1990)", + "World/Asia/IND/Environment/Methane emissions (% change from 1990)", + "World/Asia/KOR/Environment/Methane emissions (% change from 1990)", + "World/North Africa/MAR/Environment/Methane emissions (% change from 1990)", + "World/Latam/MEX/Environment/Methane emissions (% change from 1990)", + "World/Europe/NLD/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Methane emissions (% change from 1990)", + "World/Latam/PAN/Environment/Methane emissions (% change from 1990)", + "World/Latam/PER/Environment/Methane emissions (% change from 1990)", + "World/Asia/PHL/Environment/Methane emissions (% change from 1990)", + "World/Europe/POL/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/SAU/Environment/Methane emissions (% change from 1990)", + "World/North Africa/TUR/Environment/Methane emissions (% change from 1990)", + "World/Pair/USA/Environment/Methane emissions (% change from 1990)", + "World/Asia/VNM/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Methane emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/ARG/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/AUT/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/BGD/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/BRA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Pair/CHN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/CMR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/COL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/CRI/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/DEU/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/DZA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/EGY/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/FRA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/GBR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/GHA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/IND/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/ISR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/LBR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/MAR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/MEX/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/NGA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/NLD/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/PAN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Latam/PER/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/PHL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Europe/POL/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/SAU/Environment/Methane emissions (kt of CO2 equivalent)", + "World/South Africa/SEN/Environment/Methane emissions (kt of CO2 equivalent)", + "World/North Africa/TUR/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Pair/USA/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Asia/VNM/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Methane emissions (kt of CO2 equivalent)", + "World/Persian Gulf/ARE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/ARG/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/AUT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/CMR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/COL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/DEU/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/EGY/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GRC/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/IRQ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/KOR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/NGA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/PAN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/POL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/SEN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/THA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Pair/USA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Military/Military expenditure (current USD)", + "World/Europe/AUT/Military/Military expenditure (current USD)", + "World/Persian Gulf/AZE/Military/Military expenditure (current USD)", + "World/Asia/BGD/Military/Military expenditure (current USD)", + "World/Latam/BRA/Military/Military expenditure (current USD)", + "World/Latam/CHL/Military/Military expenditure (current USD)", + "World/Pair/CHN/Military/Military expenditure (current USD)", + "World/South Africa/CMR/Military/Military expenditure (current USD)", + "World/Latam/COL/Military/Military expenditure (current USD)", + "World/North Africa/DZA/Military/Military expenditure (current USD)", + "World/North Africa/EGY/Military/Military expenditure (current USD)", + "World/Europe/ESP/Military/Military expenditure (current USD)", + "World/Europe/FRA/Military/Military expenditure (current USD)", + "World/South Africa/GHA/Military/Military expenditure (current USD)", + "World/Europe/GRC/Military/Military expenditure (current USD)", + "World/Asia/IDN/Military/Military expenditure (current USD)", + "World/Asia/IND/Military/Military expenditure (current USD)", + "World/North Africa/ISR/Military/Military expenditure (current USD)", + "World/Asia/KOR/Military/Military expenditure (current USD)", + "World/North Africa/MAR/Military/Military expenditure (current USD)", + "World/Latam/MEX/Military/Military expenditure (current USD)", + "World/South Africa/MOZ/Military/Military expenditure (current USD)", + "World/South Africa/NGA/Military/Military expenditure (current USD)", + "World/Europe/NLD/Military/Military expenditure (current USD)", + "World/Persian Gulf/OMN/Military/Military expenditure (current USD)", + "World/Latam/PER/Military/Military expenditure (current USD)", + "World/Asia/PHL/Military/Military expenditure (current USD)", + "World/Europe/POL/Military/Military expenditure (current USD)", + "World/Persian Gulf/SAU/Military/Military expenditure (current USD)", + "World/South Africa/SEN/Military/Military expenditure (current USD)", + "World/Asia/THA/Military/Military expenditure (current USD)", + "World/North Africa/TUR/Military/Military expenditure (current USD)", + "World/Pair/USA/Military/Military expenditure (current USD)", + "World/Asia/VNM/Military/Military expenditure (current USD)", + "World/Persian Gulf/YEM/Military/Military expenditure (current USD)", + "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions", + "World/Latam/BRA/Internet/Mobile cellular subscriptions", + "World/Latam/CHL/Internet/Mobile cellular subscriptions", + "World/Pair/CHN/Internet/Mobile cellular subscriptions", + "World/Europe/DEU/Internet/Mobile cellular subscriptions", + "World/North Africa/DZA/Internet/Mobile cellular subscriptions", + "World/North Africa/EGY/Internet/Mobile cellular subscriptions", + "World/Europe/FRA/Internet/Mobile cellular subscriptions", + "World/Europe/GBR/Internet/Mobile cellular subscriptions", + "World/Europe/HRV/Internet/Mobile cellular subscriptions", + "World/Asia/IDN/Internet/Mobile cellular subscriptions", + "World/North Africa/ISR/Internet/Mobile cellular subscriptions", + "World/Asia/KOR/Internet/Mobile cellular subscriptions", + "World/North Africa/MAR/Internet/Mobile cellular subscriptions", + "World/Latam/MEX/Internet/Mobile cellular subscriptions", + "World/Europe/NLD/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions", + "World/Latam/PER/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions", + "World/Europe/SWE/Internet/Mobile cellular subscriptions", + "World/Asia/THA/Internet/Mobile cellular subscriptions", + "World/North Africa/TUR/Internet/Mobile cellular subscriptions", + "World/Pair/USA/Internet/Mobile cellular subscriptions", + "World/South Africa/ZAF/Internet/Mobile cellular subscriptions", + "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/BRA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/CHL/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Pair/CHN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/DEU/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/DZA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/EGY/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/FRA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/HRV/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/IDN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/ISR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/KOR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/MAR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/MEX/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/NLD/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/PER/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Europe/SWE/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Asia/THA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/North Africa/TUR/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Pair/USA/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Latam/VEN/Internet/Mobile cellular subscriptions (per 100 people)", + "World/South Africa/ZAF/Internet/Mobile cellular subscriptions (per 100 people)", + "World/Persian Gulf/ARE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/AZE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/BGD/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/CHL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Pair/CHN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/CMR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/COL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/CRI/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/DEU/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/DZA/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/EGY/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/FRA/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/GRC/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/HRV/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/IND/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/KOR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/LBR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/MAR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/MEX/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/OMN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/PAN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/PER/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/POL/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/QAT/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Persian Gulf/SAU/Economy/Monetary Sector credit to private sector (% GDP)", + "World/South Africa/SEN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/SWE/Economy/Monetary Sector credit to private sector (% GDP)", + "World/North Africa/TUR/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Latam/VEN/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Asia/VNM/Economy/Monetary Sector credit to private sector (% GDP)", + "World/Europe/AUT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/AZE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/BGD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Pair/CHN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/CMR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/DEU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/DZA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/ESP/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/GBR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/GRC/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/HRV/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/IDN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/ISR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/KOR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/MAR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Latam/MEX/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/MOZ/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/South Africa/NGA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/NLD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/OMN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/PHL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/POL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/QAT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/SAU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Europe/SWE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/THA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/North Africa/TUR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Latam/VEN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Asia/VNM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/YEM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", + "World/Persian Gulf/ARE/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/AUT/Economy/Net barter terms of trade index (2000 = 100)", + "World/Latam/BRA/Economy/Net barter terms of trade index (2000 = 100)", + "World/Latam/COL/Economy/Net barter terms of trade index (2000 = 100)", + "World/North Africa/DZA/Economy/Net barter terms of trade index (2000 = 100)", + "World/North Africa/EGY/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/ESP/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/GHA/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/KOR/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/LBR/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/NLD/Economy/Net barter terms of trade index (2000 = 100)", + "World/Europe/SWE/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/VNM/Economy/Net barter terms of trade index (2000 = 100)", + "World/South Africa/ZAF/Economy/Net barter terms of trade index (2000 = 100)", + "World/Asia/BGD/Economy/Net primary income (BoP, current US$)", + "World/Latam/BRA/Economy/Net primary income (BoP, current US$)", + "World/Latam/COL/Economy/Net primary income (BoP, current US$)", + "World/Latam/CRI/Economy/Net primary income (BoP, current US$)", + "World/North Africa/EGY/Economy/Net primary income (BoP, current US$)", + "World/Europe/FRA/Economy/Net primary income (BoP, current US$)", + "World/South Africa/GHA/Economy/Net primary income (BoP, current US$)", + "World/Asia/IDN/Economy/Net primary income (BoP, current US$)", + "World/Asia/IND/Economy/Net primary income (BoP, current US$)", + "World/Asia/KOR/Economy/Net primary income (BoP, current US$)", + "World/Latam/MEX/Economy/Net primary income (BoP, current US$)", + "World/Persian Gulf/OMN/Economy/Net primary income (BoP, current US$)", + "World/Latam/PAN/Economy/Net primary income (BoP, current US$)", + "World/Europe/POL/Economy/Net primary income (BoP, current US$)", + "World/Persian Gulf/QAT/Economy/Net primary income (BoP, current US$)", + "World/Asia/THA/Economy/Net primary income (BoP, current US$)", + "World/North 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"World/Latam/MEX/Economy/Net secondary income (BoP, current US$)", + "World/South Africa/NGA/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/OMN/Economy/Net secondary income (BoP, current US$)", + "World/Latam/PER/Economy/Net secondary income (BoP, current US$)", + "World/Asia/PHL/Economy/Net secondary income (BoP, current US$)", + "World/Europe/POL/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/SAU/Economy/Net secondary income (BoP, current US$)", + "World/South Africa/SEN/Economy/Net secondary income (BoP, current US$)", + "World/Europe/SWE/Economy/Net secondary income (BoP, current US$)", + "World/Asia/THA/Economy/Net secondary income (BoP, current US$)", + "World/Pair/USA/Economy/Net secondary income (BoP, current US$)", + "World/Latam/VEN/Economy/Net secondary income (BoP, current US$)", + "World/Asia/VNM/Economy/Net secondary income (BoP, current US$)", + "World/Persian Gulf/YEM/Economy/Net secondary income (BoP, current US$)", + 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"World/Europe/GBR/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/GHA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/GRC/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Asia/IND/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/NGA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/NLD/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Latam/PAN/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Latam/PER/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Europe/SWE/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Pair/USA/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Asia/VNM/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Nitrous oxide emissions (% change from 1990)", + "World/South Africa/ZAF/Environment/Nitrous oxide emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/BGD/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/BRA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Pair/CHN/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/CRI/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/DZA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/FRA/Environment/Nitrous oxide 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"World/Europe/NLD/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Latam/PER/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/PHL/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Europe/SWE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/North Africa/TUR/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Asia/VNM/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/YEM/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", + "World/Persian Gulf/ARE/Environment/Nitrous oxide emissions in energy sector (thousand 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"World/Europe/FRA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Europe/GBR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/GHA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IDN/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/IND/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/ISR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/Asia/KOR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/South Africa/LBR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", + "World/North Africa/MAR/Environment/Nitrous oxide emissions 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"World/Pair/CHN/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 15-19 years", + "World/Latam/COL/Mortality/Number of deaths ages 15-19 years", + "World/Europe/DEU/Mortality/Number of deaths ages 15-19 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 15-19 years", + "World/Europe/ESP/Mortality/Number of deaths ages 15-19 years", + "World/Europe/FRA/Mortality/Number of deaths ages 15-19 years", + "World/Europe/GBR/Mortality/Number of deaths ages 15-19 years", + "World/Europe/GRC/Mortality/Number of deaths ages 15-19 years", + "World/Europe/HRV/Mortality/Number of deaths ages 15-19 years", + "World/Asia/IND/Mortality/Number of deaths ages 15-19 years", + "World/Asia/KOR/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/LBR/Mortality/Number of deaths ages 15-19 years", + "World/North Africa/MAR/Mortality/Number of deaths ages 15-19 years", + "World/South Africa/NGA/Mortality/Number of deaths ages 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of deaths ages 15-19 years", + "World/Europe/AUT/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/AZE/Mortality/Number of deaths ages 20-24 years", + "World/Asia/BGD/Mortality/Number of deaths ages 20-24 years", + "World/Latam/CHL/Mortality/Number of deaths ages 20-24 years", + "World/Pair/CHN/Mortality/Number of deaths ages 20-24 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 20-24 years", + "World/Latam/COL/Mortality/Number of deaths ages 20-24 years", + "World/Latam/CRI/Mortality/Number of deaths ages 20-24 years", + "World/Europe/DEU/Mortality/Number of deaths ages 20-24 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 20-24 years", + "World/Europe/ESP/Mortality/Number of deaths ages 20-24 years", + "World/Europe/FRA/Mortality/Number of deaths ages 20-24 years", + "World/Europe/GBR/Mortality/Number of deaths ages 20-24 years", + "World/Europe/GRC/Mortality/Number of deaths ages 20-24 years", + "World/Europe/HRV/Mortality/Number 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"World/North Africa/TUR/Mortality/Number of deaths ages 20-24 years", + "World/Latam/VEN/Mortality/Number of deaths ages 20-24 years", + "World/Asia/VNM/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/YEM/Mortality/Number of deaths ages 20-24 years", + "World/Persian Gulf/ARE/Mortality/Number of deaths ages 5-9 years", + "World/Latam/ARG/Mortality/Number of deaths ages 5-9 years", + "World/Europe/AUT/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/AZE/Mortality/Number of deaths ages 5-9 years", + "World/Asia/BGD/Mortality/Number of deaths ages 5-9 years", + "World/Latam/BRA/Mortality/Number of deaths ages 5-9 years", + "World/Latam/CHL/Mortality/Number of deaths ages 5-9 years", + "World/Pair/CHN/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/CMR/Mortality/Number of deaths ages 5-9 years", + "World/Latam/COL/Mortality/Number of deaths ages 5-9 years", + "World/Latam/CRI/Mortality/Number of deaths ages 5-9 years", + "World/Europe/DEU/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/DZA/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/EGY/Mortality/Number of deaths ages 5-9 years", + "World/Europe/ESP/Mortality/Number of deaths ages 5-9 years", + "World/Europe/FRA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/GBR/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/GHA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/GRC/Mortality/Number of deaths ages 5-9 years", + "World/Europe/HRV/Mortality/Number of deaths ages 5-9 years", + "World/Asia/IDN/Mortality/Number of deaths ages 5-9 years", + "World/Asia/IND/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/ISR/Mortality/Number of deaths ages 5-9 years", + "World/Asia/KOR/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/MAR/Mortality/Number of deaths ages 5-9 years", + "World/Latam/MEX/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/MOZ/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/NGA/Mortality/Number of deaths ages 5-9 years", + "World/Europe/NLD/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/OMN/Mortality/Number of deaths ages 5-9 years", + "World/Latam/PAN/Mortality/Number of deaths ages 5-9 years", + "World/Latam/PER/Mortality/Number of deaths ages 5-9 years", + "World/Europe/POL/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/QAT/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/SAU/Mortality/Number of deaths ages 5-9 years", + "World/South Africa/SEN/Mortality/Number of deaths ages 5-9 years", + "World/Asia/THA/Mortality/Number of deaths ages 5-9 years", + "World/North Africa/TUR/Mortality/Number of deaths ages 5-9 years", + "World/Pair/USA/Mortality/Number of deaths ages 5-9 years", + "World/Asia/VNM/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/YEM/Mortality/Number of deaths ages 5-9 years", + "World/Persian Gulf/ARE/Mortality/Number of infant deaths", + "World/Latam/ARG/Mortality/Number of infant deaths", + "World/Europe/AUT/Mortality/Number of infant deaths", + "World/Persian Gulf/AZE/Mortality/Number of infant deaths", + "World/Asia/BGD/Mortality/Number of infant deaths", + "World/Latam/BRA/Mortality/Number of infant deaths", + "World/Latam/CHL/Mortality/Number of infant deaths", + "World/Pair/CHN/Mortality/Number of infant deaths", + "World/South Africa/CMR/Mortality/Number of infant deaths", + "World/Latam/COL/Mortality/Number of infant deaths", + "World/Latam/CRI/Mortality/Number of infant deaths", + "World/North Africa/EGY/Mortality/Number of infant deaths", + "World/Europe/FRA/Mortality/Number of infant deaths", + "World/Europe/GBR/Mortality/Number of infant deaths", + "World/South Africa/GHA/Mortality/Number of infant deaths", + "World/Europe/GRC/Mortality/Number of infant deaths", + "World/Europe/HRV/Mortality/Number of infant deaths", + "World/Asia/IDN/Mortality/Number of infant deaths", + "World/Asia/IND/Mortality/Number of infant deaths", + "World/Persian Gulf/IRQ/Mortality/Number of infant deaths", + "World/North Africa/ISR/Mortality/Number of infant deaths", + "World/Asia/KOR/Mortality/Number of infant deaths", + "World/South Africa/LBR/Mortality/Number of infant deaths", + "World/North Africa/MAR/Mortality/Number of infant deaths", + "World/Latam/MEX/Mortality/Number of infant deaths", + "World/South Africa/MOZ/Mortality/Number of infant deaths", + "World/Europe/NLD/Mortality/Number of infant deaths", + "World/Persian Gulf/OMN/Mortality/Number of infant deaths", + "World/Latam/PAN/Mortality/Number of infant deaths", + "World/Latam/PER/Mortality/Number of infant deaths", + "World/Asia/PHL/Mortality/Number of infant deaths", + "World/Europe/POL/Mortality/Number of infant deaths", + "World/Persian Gulf/SAU/Mortality/Number of infant deaths", + "World/South Africa/SEN/Mortality/Number of infant deaths", + "World/Europe/SWE/Mortality/Number of infant deaths", + "World/Asia/THA/Mortality/Number of infant deaths", + "World/North Africa/TUR/Mortality/Number of infant deaths", + "World/Pair/USA/Mortality/Number of infant deaths", + "World/Asia/VNM/Mortality/Number of infant deaths", + "World/Latam/ARG/Mortality/Number of maternal deaths", + "World/Persian Gulf/AZE/Mortality/Number of maternal deaths", + "World/Asia/BGD/Mortality/Number of maternal deaths", + "World/Latam/BRA/Mortality/Number of maternal deaths", + "World/Latam/CHL/Mortality/Number of maternal deaths", + "World/Pair/CHN/Mortality/Number of maternal deaths", + "World/South Africa/CMR/Mortality/Number of maternal deaths", + "World/Latam/COL/Mortality/Number of maternal deaths", + "World/Latam/CRI/Mortality/Number of maternal deaths", + "World/North Africa/DZA/Mortality/Number of maternal deaths", + "World/North Africa/EGY/Mortality/Number of maternal deaths", + "World/Europe/FRA/Mortality/Number of maternal deaths", + "World/Europe/GBR/Mortality/Number of maternal deaths", + "World/Europe/HRV/Mortality/Number of maternal deaths", + "World/Asia/IDN/Mortality/Number of maternal deaths", + "World/Asia/IND/Mortality/Number of maternal deaths", + "World/North Africa/ISR/Mortality/Number of maternal deaths", + "World/Asia/KOR/Mortality/Number of maternal deaths", + "World/North Africa/MAR/Mortality/Number of maternal deaths", + "World/Latam/MEX/Mortality/Number of maternal deaths", + "World/South Africa/MOZ/Mortality/Number of maternal deaths", + "World/South Africa/NGA/Mortality/Number of maternal deaths", + "World/Europe/NLD/Mortality/Number of maternal deaths", + "World/Persian Gulf/OMN/Mortality/Number of maternal deaths", + "World/Latam/PAN/Mortality/Number of maternal deaths", + "World/Latam/PER/Mortality/Number of maternal deaths", + "World/Asia/PHL/Mortality/Number of maternal deaths", + "World/Europe/POL/Mortality/Number of maternal deaths", + "World/Persian Gulf/SAU/Mortality/Number of maternal deaths", + "World/South Africa/SEN/Mortality/Number of maternal deaths", + "World/Asia/THA/Mortality/Number of maternal deaths", + "World/North Africa/TUR/Mortality/Number of maternal deaths", + "World/Pair/USA/Mortality/Number of maternal deaths", + "World/Asia/VNM/Mortality/Number of maternal deaths", + "World/Persian Gulf/YEM/Mortality/Number of maternal deaths", + "World/Persian Gulf/ARE/Mortality/Number of neonatal deaths", + "World/Latam/ARG/Mortality/Number of neonatal deaths", + "World/Europe/AUT/Mortality/Number of neonatal deaths", + "World/Persian Gulf/AZE/Mortality/Number of neonatal deaths", + "World/Asia/BGD/Mortality/Number of neonatal deaths", + "World/Latam/BRA/Mortality/Number of neonatal deaths", + "World/Latam/CHL/Mortality/Number of neonatal deaths", + "World/Pair/CHN/Mortality/Number of neonatal deaths", + "World/Latam/COL/Mortality/Number of neonatal deaths", + "World/Latam/CRI/Mortality/Number of neonatal deaths", + "World/North Africa/DZA/Mortality/Number of neonatal deaths", + "World/North Africa/EGY/Mortality/Number of neonatal deaths", + "World/Europe/FRA/Mortality/Number of neonatal deaths", + "World/Europe/GBR/Mortality/Number of neonatal deaths", + "World/South Africa/GHA/Mortality/Number of neonatal deaths", + "World/Europe/GRC/Mortality/Number of neonatal deaths", + "World/Europe/HRV/Mortality/Number of neonatal deaths", + "World/Asia/IDN/Mortality/Number of neonatal deaths", + "World/Asia/IND/Mortality/Number of neonatal deaths", + "World/North Africa/ISR/Mortality/Number of neonatal deaths", + "World/Asia/KOR/Mortality/Number of neonatal deaths", + "World/North Africa/MAR/Mortality/Number of neonatal deaths", + "World/Latam/MEX/Mortality/Number of neonatal deaths", + "World/South Africa/MOZ/Mortality/Number of neonatal deaths", + "World/South Africa/NGA/Mortality/Number of neonatal deaths", + "World/Europe/NLD/Mortality/Number of neonatal deaths", + "World/Persian Gulf/OMN/Mortality/Number of neonatal deaths", + "World/Latam/PAN/Mortality/Number of neonatal deaths", + "World/Latam/PER/Mortality/Number of neonatal deaths", + "World/Asia/PHL/Mortality/Number of neonatal deaths", + "World/Europe/POL/Mortality/Number of neonatal deaths", + "World/Persian Gulf/QAT/Mortality/Number of neonatal deaths", + "World/Persian Gulf/SAU/Mortality/Number of neonatal deaths", + "World/South Africa/SEN/Mortality/Number of neonatal deaths", + "World/Asia/THA/Mortality/Number of neonatal deaths", + "World/North Africa/TUR/Mortality/Number of neonatal deaths", + "World/Pair/USA/Mortality/Number of neonatal deaths", + "World/Asia/VNM/Mortality/Number of neonatal deaths", + "World/South Africa/ZAF/Mortality/Number of neonatal deaths", + "World/Persian Gulf/ARE/Mortality/Number of under-five deaths", + "World/Latam/ARG/Mortality/Number of under-five deaths", + "World/Europe/AUT/Mortality/Number of under-five deaths", + "World/Persian Gulf/AZE/Mortality/Number of under-five deaths", + "World/Asia/BGD/Mortality/Number of under-five deaths", + "World/Latam/BRA/Mortality/Number of under-five deaths", + "World/Latam/CHL/Mortality/Number of under-five deaths", + "World/Pair/CHN/Mortality/Number of under-five deaths", + "World/South Africa/CMR/Mortality/Number of under-five deaths", + "World/Latam/COL/Mortality/Number of under-five deaths", + "World/Latam/CRI/Mortality/Number of under-five deaths", + "World/North Africa/EGY/Mortality/Number of under-five deaths", + "World/Europe/FRA/Mortality/Number of under-five deaths", + "World/Europe/GBR/Mortality/Number of under-five deaths", + "World/South Africa/GHA/Mortality/Number of under-five deaths", + "World/Europe/GRC/Mortality/Number of under-five deaths", + "World/Europe/HRV/Mortality/Number of under-five deaths", + "World/Asia/IDN/Mortality/Number of under-five deaths", + "World/Asia/IND/Mortality/Number of under-five deaths", + "World/Persian Gulf/IRQ/Mortality/Number of under-five deaths", + "World/North Africa/ISR/Mortality/Number of under-five deaths", + "World/Asia/KOR/Mortality/Number of under-five deaths", + "World/South Africa/LBR/Mortality/Number of under-five deaths", + "World/North Africa/MAR/Mortality/Number of under-five deaths", + "World/Latam/MEX/Mortality/Number of under-five deaths", + "World/South Africa/MOZ/Mortality/Number of under-five deaths", + "World/Europe/NLD/Mortality/Number of under-five deaths", + "World/Persian Gulf/OMN/Mortality/Number of under-five deaths", + "World/Latam/PAN/Mortality/Number of under-five deaths", + "World/Latam/PER/Mortality/Number of under-five deaths", + "World/Asia/PHL/Mortality/Number of under-five deaths", + "World/Europe/POL/Mortality/Number of under-five deaths", + "World/Persian Gulf/SAU/Mortality/Number of under-five deaths", + "World/South Africa/SEN/Mortality/Number of under-five deaths", + "World/Europe/SWE/Mortality/Number of under-five deaths", + "World/Asia/THA/Mortality/Number of under-five deaths", + "World/North Africa/TUR/Mortality/Number of under-five deaths", + "World/Pair/USA/Mortality/Number of under-five deaths", + "World/Asia/VNM/Mortality/Number of under-five deaths", + "World/Latam/ARG/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/AUT/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/AZE/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/BGD/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/BRA/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/CHL/Health/Nurses and midwives (per 1,000 people)", + "World/Pair/CHN/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/CMR/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/CRI/Health/Nurses and midwives (per 1,000 people)", + "World/North Africa/EGY/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/ESP/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/FRA/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/GHA/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/HRV/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/IDN/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/IND/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/KOR/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/LBR/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/MOZ/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/NLD/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/OMN/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/PAN/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/PER/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/POL/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/SAU/Health/Nurses and midwives (per 1,000 people)", + "World/Europe/SWE/Health/Nurses and midwives (per 1,000 people)", + "World/Asia/THA/Health/Nurses and midwives (per 1,000 people)", + "World/North Africa/TUR/Health/Nurses and midwives (per 1,000 people)", + "World/Pair/USA/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/VEN/Health/Nurses and midwives (per 1,000 people)", + "World/Persian Gulf/YEM/Health/Nurses and midwives (per 1,000 people)", + "World/South Africa/ZAF/Health/Nurses and midwives (per 1,000 people)", + "World/Latam/ARG/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/AUT/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/AZE/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/BGD/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/BRA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/CHL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Pair/CHN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/CMR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/COL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/CRI/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/DEU/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/DZA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/EGY/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/ESP/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/FRA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/GBR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/GHA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/GRC/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/HRV/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/IDN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/IND/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/North Africa/ISR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/KOR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/LBR/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/NGA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/NLD/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/PAN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/PER/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/PHL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/POL/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/SAU/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/South Africa/SEN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Europe/SWE/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Pair/USA/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/VEN/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Asia/VNM/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Persian Gulf/YEM/Economy/Out-of-pocket expenditure per capita (current US$)", + "World/Latam/ARG/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/AZE/Health/People practicing open defecation (% of population)", + "World/Asia/BGD/Health/People practicing open defecation (% of population)", + "World/Latam/BRA/Health/People practicing open defecation (% of population)", + "World/Latam/CHL/Health/People practicing open defecation (% of population)", + "World/Pair/CHN/Health/People practicing open defecation (% of population)", + "World/South Africa/CMR/Health/People practicing open defecation (% of population)", + "World/Latam/COL/Health/People practicing open defecation (% of population)", + "World/Latam/CRI/Health/People practicing open defecation (% of population)", + "World/North Africa/DZA/Health/People practicing open defecation (% of population)", + "World/North Africa/EGY/Health/People practicing open defecation (% of population)", + "World/South Africa/GHA/Health/People practicing open defecation (% of population)", + "World/Europe/GRC/Health/People practicing open defecation (% of population)", + "World/Asia/IDN/Health/People practicing open defecation (% of population)", + "World/Asia/IND/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/IRQ/Health/People practicing open defecation (% of population)", + "World/South Africa/LBR/Health/People practicing open defecation (% of population)", + "World/North Africa/MAR/Health/People practicing open defecation (% of population)", + "World/Latam/MEX/Health/People practicing open defecation (% of population)", + "World/South Africa/MOZ/Health/People practicing open defecation (% of population)", + "World/South Africa/NGA/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/OMN/Health/People practicing open defecation (% of population)", + "World/Latam/PAN/Health/People practicing open defecation (% of population)", + "World/Latam/PER/Health/People practicing open defecation (% of population)", + "World/Asia/PHL/Health/People practicing open defecation (% of population)", + "World/South Africa/SEN/Health/People practicing open defecation (% of population)", + "World/Asia/THA/Health/People practicing open defecation (% of population)", + "World/North Africa/TUR/Health/People practicing open defecation (% of population)", + "World/Latam/VEN/Health/People practicing open defecation (% of population)", + "World/Asia/VNM/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/YEM/Health/People practicing open defecation (% of population)", + "World/South Africa/ZAF/Health/People practicing open defecation (% of population)", + "World/Persian Gulf/ARE/Health/People using at least basic drinking water services (% of population)", + "World/Latam/ARG/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/AZE/Health/People using at least basic drinking water services (% of population)", + "World/Asia/BGD/Health/People using at least basic drinking water services (% of population)", + "World/Latam/BRA/Health/People using at least basic drinking water services (% of population)", + "World/Latam/CHL/Health/People using at least basic drinking water services (% of population)", + "World/Pair/CHN/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/CMR/Health/People using at least basic drinking water services (% of population)", + "World/Latam/COL/Health/People using at least basic drinking water services (% of population)", + "World/Latam/CRI/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/DZA/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/EGY/Health/People using at least basic drinking water services (% of population)", + "World/Europe/ESP/Health/People using at least basic drinking water services (% of population)", + "World/Europe/FRA/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/GHA/Health/People using at least basic drinking water services (% of population)", + "World/Europe/GRC/Health/People using at least basic drinking water services (% of population)", + "World/Europe/HRV/Health/People using at least basic drinking water services (% of population)", + "World/Asia/IDN/Health/People using at least basic drinking water services (% of population)", + "World/Asia/IND/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/IRQ/Health/People using at least basic drinking water services (% of population)", + "World/Asia/KOR/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/LBR/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/MAR/Health/People using at least basic drinking water services (% of population)", + "World/Latam/MEX/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/MOZ/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/NGA/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/OMN/Health/People using at least basic drinking water services (% of population)", + "World/Latam/PAN/Health/People using at least basic drinking water services (% of population)", + "World/Latam/PER/Health/People using at least basic drinking water services (% of population)", + "World/Asia/PHL/Health/People using at least basic drinking water services (% of population)", + "World/Europe/POL/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/QAT/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/SAU/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/SEN/Health/People using at least basic drinking water services (% of population)", + "World/Europe/SWE/Health/People using at least basic drinking water services (% of population)", + "World/Asia/THA/Health/People using at least basic drinking water services (% of population)", + "World/North Africa/TUR/Health/People using at least basic drinking water services (% of population)", + "World/Pair/USA/Health/People using at least basic drinking water services (% of population)", + "World/Latam/VEN/Health/People using at least basic drinking water services (% of population)", + "World/Asia/VNM/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/YEM/Health/People using at least basic drinking water services (% of population)", + "World/South Africa/ZAF/Health/People using at least basic drinking water services (% of population)", + "World/Persian Gulf/ARE/Health/People using at least basic sanitation services (% of population)", + "World/Latam/ARG/Health/People using at least basic sanitation services (% of population)", + "World/Europe/AUT/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/AZE/Health/People using at least basic sanitation services (% of population)", + "World/Asia/BGD/Health/People using at least basic sanitation services (% of population)", + "World/Latam/BRA/Health/People using at least basic sanitation services (% of population)", + "World/Latam/CHL/Health/People using at least basic sanitation services (% of population)", + "World/Pair/CHN/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/CMR/Health/People using at least basic sanitation services (% of population)", + "World/Latam/COL/Health/People using at least basic sanitation services (% of population)", + "World/Latam/CRI/Health/People using at least basic sanitation services (% of population)", + "World/Europe/DEU/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/DZA/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/EGY/Health/People using at least basic sanitation services (% of population)", + "World/Europe/ESP/Health/People using at least basic sanitation services (% of population)", + "World/Europe/FRA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/GBR/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/GHA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/GRC/Health/People using at least basic sanitation services (% of population)", + "World/Europe/HRV/Health/People using at least basic sanitation services (% of population)", + "World/Asia/IDN/Health/People using at least basic sanitation services (% of population)", + "World/Asia/IND/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/IRQ/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/ISR/Health/People using at least basic sanitation services (% of population)", + "World/Asia/KOR/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/LBR/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/MAR/Health/People using at least basic sanitation services (% of population)", + "World/Latam/MEX/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/MOZ/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/NGA/Health/People using at least basic sanitation services (% of population)", + "World/Europe/NLD/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/OMN/Health/People using at least basic sanitation services (% of population)", + "World/Latam/PAN/Health/People using at least basic sanitation services (% of population)", + "World/Latam/PER/Health/People using at least basic sanitation services (% of population)", + "World/Asia/PHL/Health/People using at least basic sanitation services (% of population)", + "World/Europe/POL/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/SAU/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/SEN/Health/People using at least basic sanitation services (% of population)", + "World/Europe/SWE/Health/People using at least basic sanitation services (% of population)", + "World/Asia/THA/Health/People using at least basic sanitation services (% of population)", + "World/North Africa/TUR/Health/People using at least basic sanitation services (% of population)", + "World/Pair/USA/Health/People using at least basic sanitation services (% of population)", + "World/Latam/VEN/Health/People using at least basic sanitation services (% of population)", + "World/Asia/VNM/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/YEM/Health/People using at least basic sanitation services (% of population)", + "World/South Africa/ZAF/Health/People using at least basic sanitation services (% of population)", + "World/Persian Gulf/ARE/Health/People using safely managed sanitation services (% of population)", + "World/Latam/ARG/Health/People using safely managed sanitation services (% of population)", + "World/Europe/AUT/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/AZE/Health/People using safely managed sanitation services (% of population)", + "World/Asia/BGD/Health/People using safely managed sanitation services (% of population)", + "World/Latam/BRA/Health/People using safely managed sanitation services (% of population)", + "World/Latam/CHL/Health/People using safely managed sanitation services (% of population)", + "World/Pair/CHN/Health/People using safely managed sanitation services (% of population)", + "World/Latam/COL/Health/People using safely managed sanitation services (% of population)", + "World/Latam/CRI/Health/People using safely managed sanitation services (% of population)", + "World/Europe/DEU/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/DZA/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/EGY/Health/People using safely managed sanitation services (% of population)", + "World/Europe/FRA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/GBR/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/GHA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/GRC/Health/People using safely managed sanitation services (% of population)", + "World/Asia/IND/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/ISR/Health/People using safely managed sanitation services (% of population)", + "World/Asia/KOR/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/MAR/Health/People using safely managed sanitation services (% of population)", + "World/Latam/MEX/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/NGA/Health/People using safely managed sanitation services (% of population)", + "World/Europe/NLD/Health/People using safely managed sanitation services (% of population)", + "World/Latam/PER/Health/People using safely managed sanitation services (% of population)", + "World/Asia/PHL/Health/People using safely managed sanitation services (% of population)", + "World/Europe/POL/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/QAT/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/SAU/Health/People using safely managed sanitation services (% of population)", + "World/South Africa/SEN/Health/People using safely managed sanitation services (% of population)", + "World/Europe/SWE/Health/People using safely managed sanitation services (% of population)", + "World/Asia/THA/Health/People using safely managed sanitation services (% of population)", + "World/North Africa/TUR/Health/People using safely managed sanitation services (% of population)", + "World/Pair/USA/Health/People using safely managed sanitation services (% of population)", + "World/Latam/VEN/Health/People using safely managed sanitation services (% of population)", + "World/Persian Gulf/YEM/Health/People using safely managed sanitation services (% of population)", + "World/Europe/AUT/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/AZE/Agriculture/Permanent cropland (% of land area)", + "World/Latam/CHL/Agriculture/Permanent cropland (% of land area)", + "World/Pair/CHN/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/CMR/Agriculture/Permanent cropland (% of land area)", + "World/Latam/COL/Agriculture/Permanent cropland (% of land area)", + "World/Latam/CRI/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/DZA/Agriculture/Permanent cropland (% of land area)", + "World/Europe/FRA/Agriculture/Permanent cropland (% of land area)", + "World/Europe/GRC/Agriculture/Permanent cropland (% of land area)", + "World/Asia/IDN/Agriculture/Permanent cropland (% of land area)", + "World/Asia/IND/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/MAR/Agriculture/Permanent cropland (% of land area)", + "World/Latam/MEX/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/MOZ/Agriculture/Permanent cropland (% of land area)", + "World/Europe/NLD/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/OMN/Agriculture/Permanent cropland (% of land area)", + "World/Latam/PER/Agriculture/Permanent cropland (% of land area)", + "World/Asia/PHL/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/SEN/Agriculture/Permanent cropland (% of land area)", + "World/Asia/THA/Agriculture/Permanent cropland (% of land area)", + "World/North Africa/TUR/Agriculture/Permanent cropland (% of land area)", + "World/Asia/VNM/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/YEM/Agriculture/Permanent cropland (% of land area)", + "World/South Africa/ZAF/Agriculture/Permanent cropland (% of land area)", + "World/Persian Gulf/ARE/Demography/Population ages 0-14 (% of total population)", + "World/Latam/ARG/Demography/Population ages 0-14 (% of total population)", + "World/Europe/AUT/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/AZE/Demography/Population ages 0-14 (% of total population)", + "World/Asia/BGD/Demography/Population ages 0-14 (% of total population)", + "World/Latam/BRA/Demography/Population ages 0-14 (% of total population)", + "World/Latam/CHL/Demography/Population ages 0-14 (% of total population)", + "World/Pair/CHN/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/CMR/Demography/Population ages 0-14 (% of total population)", + "World/Latam/COL/Demography/Population ages 0-14 (% of total population)", + "World/Latam/CRI/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/EGY/Demography/Population ages 0-14 (% of total population)", + "World/Europe/FRA/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/GHA/Demography/Population ages 0-14 (% of total population)", + "World/Europe/HRV/Demography/Population ages 0-14 (% of total population)", + "World/Asia/IDN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/IND/Demography/Population ages 0-14 (% of total population)", + "World/Asia/KOR/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/MAR/Demography/Population ages 0-14 (% of total population)", + "World/Latam/MEX/Demography/Population ages 0-14 (% of total population)", + "World/Europe/NLD/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/OMN/Demography/Population ages 0-14 (% of total population)", + "World/Latam/PAN/Demography/Population ages 0-14 (% of total population)", + "World/Latam/PER/Demography/Population ages 0-14 (% of total population)", + "World/Asia/PHL/Demography/Population ages 0-14 (% of total population)", + "World/Europe/POL/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/SAU/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/SEN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/THA/Demography/Population ages 0-14 (% of total population)", + "World/North Africa/TUR/Demography/Population ages 0-14 (% of total population)", + "World/Pair/USA/Demography/Population ages 0-14 (% of total population)", + "World/Latam/VEN/Demography/Population ages 0-14 (% of total population)", + "World/Asia/VNM/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 0-14 (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 0-14 (% of total population)", + "World/Persian Gulf/ARE/Demography/Population ages 15-64 (% of total population)", + "World/Latam/ARG/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/AZE/Demography/Population ages 15-64 (% of total population)", + "World/Asia/BGD/Demography/Population ages 15-64 (% of total population)", + "World/Latam/BRA/Demography/Population ages 15-64 (% of total population)", + "World/Latam/CHL/Demography/Population ages 15-64 (% of total population)", + "World/Pair/CHN/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/CMR/Demography/Population ages 15-64 (% of total population)", + "World/Latam/COL/Demography/Population ages 15-64 (% of total population)", + "World/Latam/CRI/Demography/Population ages 15-64 (% of total population)", + "World/Europe/DEU/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/EGY/Demography/Population ages 15-64 (% of total population)", + "World/Europe/FRA/Demography/Population ages 15-64 (% of total population)", + "World/Europe/GBR/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/GHA/Demography/Population ages 15-64 (% of total population)", + "World/Europe/GRC/Demography/Population ages 15-64 (% of total population)", + "World/Asia/IDN/Demography/Population ages 15-64 (% of total population)", + "World/Asia/IND/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/ISR/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/MAR/Demography/Population ages 15-64 (% of total population)", + "World/Latam/MEX/Demography/Population ages 15-64 (% of total population)", + "World/Europe/NLD/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/OMN/Demography/Population ages 15-64 (% of total population)", + "World/Latam/PAN/Demography/Population ages 15-64 (% of total population)", + "World/Latam/PER/Demography/Population ages 15-64 (% of total population)", + "World/Asia/PHL/Demography/Population ages 15-64 (% of total population)", + "World/Europe/POL/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/SAU/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/SEN/Demography/Population ages 15-64 (% of total population)", + "World/North Africa/TUR/Demography/Population ages 15-64 (% of total population)", + "World/Pair/USA/Demography/Population ages 15-64 (% of total population)", + "World/Latam/VEN/Demography/Population ages 15-64 (% of total population)", + "World/Asia/VNM/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 15-64 (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 15-64 (% of total population)", + "World/Persian Gulf/ARE/Demography/Population ages 65 and above (% of total population)", + "World/Latam/ARG/Demography/Population ages 65 and above (% of total population)", + "World/Europe/AUT/Demography/Population ages 65 and above (% of total population)", + "World/Asia/BGD/Demography/Population ages 65 and above (% of total population)", + "World/Latam/BRA/Demography/Population ages 65 and above (% of total population)", + "World/Latam/CHL/Demography/Population ages 65 and above (% of total population)", + "World/Pair/CHN/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/CMR/Demography/Population ages 65 and above (% of total population)", + "World/Latam/COL/Demography/Population ages 65 and above (% of total population)", + "World/Latam/CRI/Demography/Population ages 65 and above (% of total population)", + "World/Europe/DEU/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/DZA/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/EGY/Demography/Population ages 65 and above (% of total population)", + "World/Europe/FRA/Demography/Population ages 65 and above (% of total population)", + "World/Europe/GBR/Demography/Population ages 65 and above (% of total population)", + "World/Europe/GRC/Demography/Population ages 65 and above (% of total population)", + "World/Europe/HRV/Demography/Population ages 65 and above (% of total population)", + "World/Asia/IDN/Demography/Population ages 65 and above (% of total population)", + "World/Asia/IND/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/ISR/Demography/Population ages 65 and above (% of total population)", + "World/Asia/KOR/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/MAR/Demography/Population ages 65 and above (% of total population)", + "World/Latam/MEX/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/MOZ/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/NGA/Demography/Population ages 65 and above (% of total population)", + "World/Europe/NLD/Demography/Population ages 65 and above (% of total population)", + "World/Latam/PAN/Demography/Population ages 65 and above (% of total population)", + "World/Latam/PER/Demography/Population ages 65 and above (% of total population)", + "World/Asia/PHL/Demography/Population ages 65 and above (% of total population)", + "World/Europe/POL/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/QAT/Demography/Population ages 65 and above (% of total population)", + "World/Asia/THA/Demography/Population ages 65 and above (% of total population)", + "World/North Africa/TUR/Demography/Population ages 65 and above (% of total population)", + "World/Pair/USA/Demography/Population ages 65 and above (% of total population)", + "World/Latam/VEN/Demography/Population ages 65 and above (% of total population)", + "World/Asia/VNM/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/YEM/Demography/Population ages 65 and above (% of total population)", + "World/South Africa/ZAF/Demography/Population ages 65 and above (% of total population)", + "World/Persian Gulf/ARE/Demography/Population in largest city", + "World/Latam/ARG/Demography/Population in largest city", + "World/Europe/AUT/Demography/Population in largest city", + "World/Persian Gulf/AZE/Demography/Population in largest city", + "World/Asia/BGD/Demography/Population in largest city", + "World/Latam/BRA/Demography/Population in largest city", + "World/Latam/CHL/Demography/Population in largest city", + "World/Pair/CHN/Demography/Population in largest city", + "World/South Africa/CMR/Demography/Population in largest city", + "World/Latam/COL/Demography/Population in largest city", + "World/Latam/CRI/Demography/Population in largest city", + "World/North Africa/DZA/Demography/Population in largest city", + "World/North Africa/EGY/Demography/Population in largest city", + "World/Europe/ESP/Demography/Population in largest city", + "World/Europe/FRA/Demography/Population in largest city", + "World/Europe/GBR/Demography/Population in largest city", + "World/South Africa/GHA/Demography/Population in largest city", + "World/Europe/GRC/Demography/Population in largest city", + "World/Europe/HRV/Demography/Population in largest city", + "World/Asia/IDN/Demography/Population in largest city", + "World/Asia/IND/Demography/Population in largest city", + "World/North Africa/ISR/Demography/Population in largest city", + "World/North Africa/MAR/Demography/Population in largest city", + "World/Latam/MEX/Demography/Population in largest city", + "World/South Africa/MOZ/Demography/Population in largest city", + "World/South Africa/NGA/Demography/Population in largest city", + "World/Europe/NLD/Demography/Population in largest city", + "World/Persian Gulf/OMN/Demography/Population in largest city", + "World/Latam/PAN/Demography/Population in largest city", + "World/Latam/PER/Demography/Population in largest city", + "World/Asia/PHL/Demography/Population in largest city", + "World/Europe/POL/Demography/Population in largest city", + "World/Persian Gulf/QAT/Demography/Population in largest city", + "World/Persian Gulf/SAU/Demography/Population in largest city", + "World/South Africa/SEN/Demography/Population in largest city", + "World/Asia/THA/Demography/Population in largest city", + "World/North Africa/TUR/Demography/Population in largest city", + "World/Pair/USA/Demography/Population in largest city", + "World/Latam/VEN/Demography/Population in largest city", + "World/Asia/VNM/Demography/Population in largest city", + "World/Persian Gulf/YEM/Demography/Population in largest city", + "World/South Africa/ZAF/Demography/Population in largest city", + "World/Persian Gulf/ARE/Demography/Population in the largest city (% of urban population)", + "World/Latam/ARG/Demography/Population in the largest city (% of urban population)", + "World/Europe/AUT/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/AZE/Demography/Population in the largest city (% of urban population)", + "World/Asia/BGD/Demography/Population in the largest city (% of urban population)", + "World/Latam/CHL/Demography/Population in the largest city (% of urban population)", + "World/South Africa/CMR/Demography/Population in the largest city (% of urban population)", + "World/Latam/COL/Demography/Population in the largest city (% of urban population)", + "World/Latam/CRI/Demography/Population in the largest city (% of urban population)", + "World/North Africa/DZA/Demography/Population in the largest city (% of urban population)", + "World/North Africa/EGY/Demography/Population in the largest city (% of urban population)", + "World/Europe/FRA/Demography/Population in the largest city (% of urban population)", + "World/Europe/GBR/Demography/Population in the largest city (% of urban population)", + "World/Asia/IDN/Demography/Population in the largest city (% of urban population)", + "World/Asia/IND/Demography/Population in the largest city (% of urban population)", + "World/North Africa/ISR/Demography/Population in the largest city (% of urban population)", + "World/Asia/KOR/Demography/Population in the largest city (% of urban population)", + "World/North Africa/MAR/Demography/Population in the largest city (% of urban population)", + "World/Latam/MEX/Demography/Population in the largest city (% of urban population)", + "World/South Africa/MOZ/Demography/Population in the largest city (% of urban population)", + "World/South Africa/NGA/Demography/Population in the largest city (% of urban population)", + "World/Europe/NLD/Demography/Population in the largest city (% of urban population)", + "World/Latam/PAN/Demography/Population in the largest city (% of urban population)", + "World/Latam/PER/Demography/Population in the largest city (% of urban population)", + "World/Europe/POL/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/QAT/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/SAU/Demography/Population in the largest city (% of urban population)", + "World/South Africa/SEN/Demography/Population in the largest city (% of urban population)", + "World/North Africa/TUR/Demography/Population in the largest city (% of urban population)", + "World/Pair/USA/Demography/Population in the largest city (% of urban population)", + "World/Latam/VEN/Demography/Population in the largest city (% of urban population)", + "World/Asia/VNM/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/YEM/Demography/Population in the largest city (% of urban population)", + "World/South Africa/ZAF/Demography/Population in the largest city (% of urban population)", + "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/CHL/Demography/Population in urban agglomerations of more than 1 million", + "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/DEU/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/EGY/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/ESP/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/FRA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/ISR/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/NLD/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/OMN/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/PHL/Demography/Population in urban agglomerations of more than 1 million", + "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/SEN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million", + "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million", + "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million", + "World/Latam/VEN/Demography/Population in urban agglomerations of more than 1 million", + "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million", + "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million", + "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million (% of total population)", + "World/Persian Gulf/AZE/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/BGD/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/CHL/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Pair/CHN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/CMR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/EGY/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Europe/GBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/GHA/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/IDN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/IND/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/LBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/MAR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/MOZ/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/PAN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Latam/PER/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/SEN/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Europe/SWE/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/THA/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/North Africa/TUR/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Asia/VNM/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Persian Gulf/YEM/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/South Africa/ZAF/Economy/Poverty headcount ratio at national poverty lines (% of population)", + "World/Persian Gulf/ARE/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/AZE/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/BGD/Health/Pregnant women receiving prenatal care (%)", + "World/Pair/CHN/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/CMR/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/COL/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/CRI/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/DZA/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/EGY/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/IDN/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/IND/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/LBR/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/MAR/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/MOZ/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/NGA/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/PER/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/PHL/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/QAT/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/SAU/Health/Pregnant women receiving prenatal care (%)", + "World/South Africa/SEN/Health/Pregnant women receiving prenatal care (%)", + "World/North Africa/TUR/Health/Pregnant women receiving prenatal care (%)", + "World/Latam/VEN/Health/Pregnant women receiving prenatal care (%)", + "World/Asia/VNM/Health/Pregnant women receiving prenatal care (%)", + "World/Persian Gulf/YEM/Health/Pregnant women receiving prenatal care (%)", + "World/Europe/AUT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/BGD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/BRA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Pair/CHN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/CMR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/COL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/CRI/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/DEU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/DZA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/EGY/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/ESP/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/GBR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/GHA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/GRC/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/IND/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/ISR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/North Africa/MAR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/MEX/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/MOZ/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/NGA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Europe/NLD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/PAN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/PER/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/PHL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/South Africa/SEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Pair/USA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Latam/VEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Asia/VNM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/BGD/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/BRA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/CHL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Pair/CHN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/CMR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/COL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/CRI/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/DZA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/EGY/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/ESP/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/GBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/GHA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/ISR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/KOR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/LBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/North Africa/MAR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/MEX/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/MOZ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/NGA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Europe/NLD/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/PAN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/PER/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/PHL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/SEN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/THA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Pair/USA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Latam/VEN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Asia/VNM/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/South Africa/ZAF/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", + "World/Persian Gulf/ARE/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/ARG/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/BGD/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/BRA/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/CHL/Health/Prevalence of anemia among pregnant women (%)", + "World/Pair/CHN/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/CMR/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/COL/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/CRI/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/DZA/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/EGY/Health/Prevalence of anemia among pregnant women (%)", + "World/Europe/GBR/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/GHA/Health/Prevalence of anemia among pregnant women (%)", + "World/Europe/HRV/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/IND/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/ISR/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/KOR/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/LBR/Health/Prevalence of anemia among pregnant women (%)", + "World/North Africa/MAR/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/MEX/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/MOZ/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/NGA/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/PAN/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/PER/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/PHL/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/SEN/Health/Prevalence of anemia among pregnant women (%)", + "World/Pair/USA/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/VEN/Health/Prevalence of anemia among pregnant women (%)", + "World/Asia/VNM/Health/Prevalence of anemia among pregnant women (%)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among pregnant women (%)", + "World/South Africa/ZAF/Health/Prevalence of anemia among pregnant women (%)", + "World/Latam/ARG/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/AZE/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/BGD/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/BRA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/CHL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Pair/CHN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/CMR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/COL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/CRI/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/DZA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/EGY/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/ESP/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/FRA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/GBR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/GHA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/GRC/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/IRQ/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/ISR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/KOR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/LBR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/North Africa/MAR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/MEX/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/MOZ/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/NGA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Europe/NLD/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/OMN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/PAN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/PER/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/PHL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/QAT/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/SAU/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/SEN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/THA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Pair/USA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/VEN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Asia/VNM/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Persian Gulf/YEM/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/South Africa/ZAF/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", + "World/Latam/ARG/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/AUT/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/AZE/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/BGD/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/BRA/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/CHL/Health/Prevalence of current tobacco use (% of adults)", + "World/Pair/CHN/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/CMR/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/COL/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/CRI/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/DEU/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/DZA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/ESP/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/FRA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/GBR/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/GHA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/GRC/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/HRV/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/IDN/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/IND/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/IRQ/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/ISR/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/KOR/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/LBR/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/MAR/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/MEX/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/MOZ/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/NGA/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/NLD/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/OMN/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/PAN/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/PER/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/PHL/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/POL/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/QAT/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/SEN/Health/Prevalence of current tobacco use (% of adults)", + "World/Europe/SWE/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/THA/Health/Prevalence of current tobacco use (% of adults)", + "World/North Africa/TUR/Health/Prevalence of current tobacco use (% of adults)", + "World/Pair/USA/Health/Prevalence of current tobacco use (% of adults)", + "World/Asia/VNM/Health/Prevalence of current tobacco use (% of adults)", + "World/Persian Gulf/YEM/Health/Prevalence of current tobacco use (% of adults)", + "World/South Africa/ZAF/Health/Prevalence of current tobacco use (% of adults)", + "World/Latam/ARG/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/AZE/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/BGD/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/CHL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Pair/CHN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/COL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/CRI/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/DZA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/EGY/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/GRC/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/IDN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/IND/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/KOR/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/North Africa/MAR/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/MEX/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/South Africa/NGA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/NLD/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/OMN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/PAN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/PER/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/PHL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Europe/POL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/QAT/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/SAU/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/THA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Pair/USA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Latam/VEN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Asia/VNM/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/YEM/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/South Africa/ZAF/Health/Prevalence of overweight (modeled estimate, % of children under 5)", + "World/Persian Gulf/AZE/Health/Prevalence of undernourishment (% of population)", + "World/Asia/BGD/Health/Prevalence of undernourishment (% of population)", + "World/Latam/BRA/Health/Prevalence of undernourishment (% of population)", + "World/Pair/CHN/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/CMR/Health/Prevalence of undernourishment (% of population)", + "World/North Africa/DZA/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/GHA/Health/Prevalence of undernourishment (% of population)", + "World/Asia/IDN/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/IRQ/Health/Prevalence of undernourishment (% of population)", + "World/North Africa/MAR/Health/Prevalence of undernourishment (% of population)", + "World/Latam/MEX/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/MOZ/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/NGA/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/OMN/Health/Prevalence of undernourishment (% of population)", + "World/Latam/PAN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/PHL/Health/Prevalence of undernourishment (% of population)", + "World/South Africa/SEN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/THA/Health/Prevalence of undernourishment (% of population)", + "World/Latam/VEN/Health/Prevalence of undernourishment (% of population)", + "World/Asia/VNM/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/YEM/Health/Prevalence of undernourishment (% of population)", + "World/Persian Gulf/ARE/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Persian Gulf/AZE/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Asia/BGD/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Latam/BRA/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/Pair/CHN/Economy/Price level ratio of PPP conversion factor (GDP) to market exchange rate", + "World/South Africa/CMR/Economy/Price level ratio of PPP conversion factor (GDP) to market 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"World/Pair/USA/Economy/Primary income receipts (BoP, current US$)", + "World/Asia/VNM/Economy/Primary income receipts (BoP, current US$)", + "World/Persian Gulf/YEM/Economy/Primary income receipts (BoP, current US$)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/AZE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/BRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/CRI/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Latam/MEX/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/South 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(per 1,000)", + "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/NGA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/NLD/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/OMN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/PAN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/PER/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/PHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/POL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/QAT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/SAU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/South Africa/SEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Latam/VEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/AZE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/BRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/CRI/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Latam/MEX/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South Africa/MOZ/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/South 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"World/Europe/SWE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Pair/USA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", + "World/Persian Gulf/ARE/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/ARG/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/AUT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/BGD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/CHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Pair/CHN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/CMR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/COL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/DEU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/DZA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/EGY/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/ESP/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/FRA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/GBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/GHA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/GRC/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/HRV/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/IDN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/IND/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/ISR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/KOR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/LBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/MAR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/NGA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/NLD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/OMN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/PAN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/PER/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/PHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Europe/POL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/QAT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/SAU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/South Africa/SEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/THA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/North Africa/TUR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/VEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Asia/VNM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Persian Gulf/YEM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", + "World/Latam/ARG/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/AZE/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/CHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Pair/CHN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/COL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket 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"World/Latam/MEX/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/South Africa/MOZ/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/South Africa/NGA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/PAN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Latam/PER/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Asia/PHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/SAU/Economy/Proportion of 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household consumption or income on out-of-pocket health care expenditure (%)", + "World/Persian Gulf/AZE/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/BGD/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/BRA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/CHL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Pair/CHN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/CMR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/DZA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/EGY/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Europe/GBR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/GHA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/IND/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/ISR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/KOR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/MEX/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/MOZ/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Latam/PAN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/PHL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Europe/POL/Equality/Proportion of seats held by women in national parliaments (%)", + "World/South Africa/SEN/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/THA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/North Africa/TUR/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Pair/USA/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Asia/VNM/Equality/Proportion of seats held by women in national parliaments (%)", + "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/GHA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/IND/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/NGA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/YEM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", + "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Pair/CHN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Europe/POL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Latam/VEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", + "World/Persian Gulf/ARE/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/ARG/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/BGD/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Pair/CHN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/CRI/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/DEU/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/EGY/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/GBR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/GHA/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/GRC/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/IDN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/IND/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/KOR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/MAR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/MEX/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/MOZ/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/NLD/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Latam/PAN/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/PHL/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/POL/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Persian Gulf/SAU/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Europe/SWE/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/North Africa/TUR/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Pair/USA/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Asia/VNM/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/South Africa/ZAF/Environment/Renewable energy consumption (% of total final energy consumption)", + "World/Persian Gulf/ARE/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/ARG/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/AUT/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/AZE/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/BGD/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/BRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/CHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Pair/CHN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/CMR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/COL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/CRI/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/DZA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/EGY/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/ESP/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/FRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/GBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/GHA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/IDN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/IND/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/ISR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/KOR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/LBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/MAR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/MEX/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/MOZ/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/NGA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/NLD/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/OMN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/PAN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/PER/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/PHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/POL/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/QAT/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/SAU/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/SEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/THA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/North Africa/TUR/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Pair/USA/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Latam/VEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Asia/VNM/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Persian Gulf/YEM/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/South Africa/ZAF/Environment/Renewable internal freshwater resources per capita (cubic meters)", + "World/Europe/AUT/R&D/Researchers in R&D (per million people)", + "World/Latam/BRA/R&D/Researchers in R&D (per million people)", + "World/Pair/CHN/R&D/Researchers in R&D (per million people)", + "World/Europe/DEU/R&D/Researchers in R&D (per million people)", + "World/North Africa/DZA/R&D/Researchers in R&D (per million people)", + "World/Europe/ESP/R&D/Researchers in R&D (per million people)", + "World/Europe/FRA/R&D/Researchers in R&D (per million people)", + "World/Europe/GBR/R&D/Researchers in R&D (per million people)", + "World/South Africa/GHA/R&D/Researchers in R&D (per million people)", + "World/Europe/GRC/R&D/Researchers in R&D (per million people)", + "World/Asia/IND/R&D/Researchers in R&D (per million people)", + "World/Asia/KOR/R&D/Researchers in R&D (per million people)", + "World/North Africa/MAR/R&D/Researchers in R&D (per million people)", + "World/South Africa/MOZ/R&D/Researchers in R&D (per million people)", + "World/Europe/NLD/R&D/Researchers in R&D (per million people)", + "World/Persian Gulf/OMN/R&D/Researchers in R&D (per million people)", + "World/Asia/PHL/R&D/Researchers in R&D (per million people)", + "World/Europe/POL/R&D/Researchers in R&D (per million people)", + "World/Asia/THA/R&D/Researchers in R&D (per million people)", + "World/North Africa/TUR/R&D/Researchers in R&D (per million people)", + "World/Pair/USA/R&D/Researchers in R&D (per million people)", + "World/Latam/VEN/R&D/Researchers in R&D (per million people)", + "World/Persian Gulf/AZE/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/BGD/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/BRA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/CHL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Pair/CHN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/CRI/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/North Africa/EGY/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Europe/ESP/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/South Africa/GHA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/IND/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/KOR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/North Africa/MAR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/MEX/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/PAN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Latam/PER/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Europe/POL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/THA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Pair/USA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Asia/VNM/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", + "World/Persian Gulf/AZE/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/BGD/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/BRA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/CHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Pair/CHN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/CMR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/COL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/CRI/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/DZA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/EGY/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/GHA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/IDN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/IND/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/North Africa/MAR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/MEX/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/MOZ/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/PAN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Latam/PER/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/PHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Europe/POL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/South Africa/SEN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/THA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Asia/VNM/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", + "World/Persian Gulf/ARE/Demography/Rural population", + "World/Latam/ARG/Demography/Rural population", + "World/Europe/AUT/Demography/Rural population", + "World/Persian Gulf/AZE/Demography/Rural population", + "World/Asia/BGD/Demography/Rural population", + "World/Latam/BRA/Demography/Rural population", + "World/Pair/CHN/Demography/Rural population", + "World/South Africa/CMR/Demography/Rural population", + "World/Latam/COL/Demography/Rural population", + "World/Latam/CRI/Demography/Rural population", + "World/North Africa/DZA/Demography/Rural population", + "World/North Africa/EGY/Demography/Rural population", + "World/Europe/FRA/Demography/Rural population", + "World/Europe/GBR/Demography/Rural population", + "World/South Africa/GHA/Demography/Rural population", + "World/Europe/GRC/Demography/Rural population", + "World/Europe/HRV/Demography/Rural population", + "World/Asia/IDN/Demography/Rural population", + "World/Asia/IND/Demography/Rural population", + "World/North Africa/ISR/Demography/Rural population", + "World/South Africa/LBR/Demography/Rural population", + "World/North Africa/MAR/Demography/Rural population", + "World/South Africa/MOZ/Demography/Rural population", + "World/South Africa/NGA/Demography/Rural population", + "World/Europe/NLD/Demography/Rural population", + "World/Persian Gulf/OMN/Demography/Rural population", + "World/Latam/PAN/Demography/Rural population", + "World/Asia/PHL/Demography/Rural population", + "World/Europe/POL/Demography/Rural population", + "World/Persian Gulf/QAT/Demography/Rural population", + "World/Persian Gulf/SAU/Demography/Rural population", + "World/South Africa/SEN/Demography/Rural population", + "World/North Africa/TUR/Demography/Rural population", + "World/Pair/USA/Demography/Rural population", + "World/Asia/VNM/Demography/Rural population", + "World/Persian Gulf/YEM/Demography/Rural population", + "World/Persian Gulf/ARE/Demography/Rural population (% of total population)", + "World/Latam/ARG/Demography/Rural population (% of total population)", + "World/Persian Gulf/AZE/Demography/Rural population (% of total population)", + "World/Asia/BGD/Demography/Rural population (% of total population)", + "World/Latam/BRA/Demography/Rural population (% of total population)", + "World/Latam/CHL/Demography/Rural population (% of total population)", + "World/Pair/CHN/Demography/Rural population (% of total population)", + "World/South Africa/CMR/Demography/Rural population (% of total population)", + "World/Latam/COL/Demography/Rural population (% of total population)", + "World/Latam/CRI/Demography/Rural population (% of total population)", + "World/Europe/DEU/Demography/Rural population (% of total population)", + "World/North Africa/DZA/Demography/Rural population (% of total population)", + "World/Europe/ESP/Demography/Rural population (% of total population)", + "World/Europe/FRA/Demography/Rural population (% of total population)", + "World/Europe/GBR/Demography/Rural population (% of total population)", + "World/South Africa/GHA/Demography/Rural population (% of total population)", + "World/Europe/GRC/Demography/Rural population (% of total population)", + "World/Europe/HRV/Demography/Rural population (% of total population)", + "World/Asia/IDN/Demography/Rural population (% of total population)", + "World/Asia/IND/Demography/Rural population (% of total population)", + "World/Persian Gulf/IRQ/Demography/Rural population (% of total population)", + "World/North Africa/ISR/Demography/Rural population (% of total population)", + "World/South Africa/LBR/Demography/Rural population (% of total population)", + "World/North Africa/MAR/Demography/Rural population (% of total population)", + "World/Latam/MEX/Demography/Rural population (% of total population)", + "World/South Africa/MOZ/Demography/Rural population (% of total population)", + "World/South Africa/NGA/Demography/Rural population (% of total population)", + "World/Europe/NLD/Demography/Rural population (% of total population)", + "World/Persian Gulf/OMN/Demography/Rural population (% of total population)", + "World/Latam/PAN/Demography/Rural population (% of total population)", + "World/Latam/PER/Demography/Rural population (% of total population)", + "World/Europe/POL/Demography/Rural population (% of total population)", + "World/Persian Gulf/QAT/Demography/Rural population (% of total population)", + "World/Persian Gulf/SAU/Demography/Rural population (% of total population)", + "World/South Africa/SEN/Demography/Rural population (% of total population)", + "World/Asia/THA/Demography/Rural population (% of total population)", + "World/North Africa/TUR/Demography/Rural population (% of total population)", + "World/Pair/USA/Demography/Rural population (% of total population)", + "World/Latam/VEN/Demography/Rural population (% of total population)", + "World/Asia/VNM/Demography/Rural population (% of total population)", + "World/Persian Gulf/YEM/Demography/Rural population (% of total population)", + "World/South Africa/ZAF/Demography/Rural population (% of total population)", + "World/Persian Gulf/ARE/industry/Scientific and technical journal articles", + "World/Latam/ARG/industry/Scientific and technical journal articles", + "World/Europe/AUT/industry/Scientific and technical journal articles", + "World/Persian Gulf/AZE/industry/Scientific and technical journal articles", + "World/Asia/BGD/industry/Scientific and technical journal articles", + "World/Latam/BRA/industry/Scientific and technical journal articles", + "World/Latam/CHL/industry/Scientific and technical journal articles", + "World/Pair/CHN/industry/Scientific and technical journal articles", + "World/South Africa/CMR/industry/Scientific and technical journal articles", + "World/Latam/COL/industry/Scientific and technical journal articles", + "World/Latam/CRI/industry/Scientific and technical journal articles", + "World/North Africa/DZA/industry/Scientific 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+ "World/Europe/ESP/Imports/Service imports (BoP, current US$)", + "World/Europe/FRA/Imports/Service imports (BoP, current US$)", + "World/Europe/GBR/Imports/Service imports (BoP, current US$)", + "World/South Africa/GHA/Imports/Service imports (BoP, current US$)", + "World/Europe/HRV/Imports/Service imports (BoP, current US$)", + "World/Asia/IDN/Imports/Service imports (BoP, current US$)", + "World/Asia/IND/Imports/Service imports (BoP, current US$)", + "World/North Africa/ISR/Imports/Service imports (BoP, current US$)", + "World/Asia/KOR/Imports/Service imports (BoP, current US$)", + "World/North Africa/MAR/Imports/Service imports (BoP, current US$)", + "World/Latam/MEX/Imports/Service imports (BoP, current US$)", + "World/South Africa/MOZ/Imports/Service imports (BoP, current US$)", + "World/South Africa/NGA/Imports/Service imports (BoP, current US$)", + "World/Europe/NLD/Imports/Service imports (BoP, current US$)", + "World/Persian Gulf/OMN/Imports/Service imports (BoP, current 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"World/Asia/BGD/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/BRA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/CHL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Pair/CHN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/COL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/DZA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/EGY/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/IDN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/IND/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/MAR/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/MEX/Mortality/Suicide mortality rate (per 100,000 population)", + "World/South Africa/NGA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/PAN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/PHL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Europe/POL/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/QAT/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/SAU/Mortality/Suicide mortality rate (per 100,000 population)", + "World/South Africa/SEN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/North Africa/TUR/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Pair/USA/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/VEN/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Asia/VNM/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Persian Gulf/YEM/Mortality/Suicide mortality rate (per 100,000 population)", + "World/Latam/ARG/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/AUT/Taxes/Taxes less subsidies on products (current US$)", + "World/Persian Gulf/AZE/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/BGD/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/BRA/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/CHL/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/CMR/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/COL/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/CRI/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/DEU/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/DZA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/ESP/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/FRA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/GBR/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/GHA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/GRC/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/HRV/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/IND/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/ISR/Taxes/Taxes less subsidies on products (current US$)", + "World/Asia/KOR/Taxes/Taxes less subsidies on products (current US$)", + "World/North Africa/MAR/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/MEX/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/MOZ/Taxes/Taxes less subsidies on products (current US$)", + "World/South Africa/NGA/Taxes/Taxes less subsidies on products (current US$)", + "World/Europe/NLD/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/PAN/Taxes/Taxes less subsidies on products (current US$)", + "World/Latam/PER/Taxes/Taxes less subsidies on products (current US$)", + 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"World/Asia/THA/Economy/Taxes on international trade (% of revenue)", + "World/Latam/ARG/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/AUT/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Asia/BGD/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/CHL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Pair/CHN/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/COL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/CRI/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/DEU/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/DZA/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/ESP/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/FRA/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/GBR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/GRC/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/ISR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Asia/KOR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/North Africa/MAR/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/MEX/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Persian Gulf/OMN/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Latam/PER/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/POL/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Europe/SWE/Industry/Textiles and clothing (% of value added in manufacturing)", + "World/Pair/USA/Industry/Textiles and clothing 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requirements of government regulations (% of senior management time)", + "World/South Africa/NGA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/PAN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Latam/PER/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/PHL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Europe/POL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/South Africa/SEN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/Asia/THA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", + "World/North Africa/TUR/R&D/Time spent dealing with the 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projected estimates, 15+ years of age)", + "World/Asia/IND/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/North Africa/ISR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/KOR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/North Africa/MAR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/MEX/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/South Africa/MOZ/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/South Africa/NGA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/NLD/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/OMN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/PAN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Europe/POL/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/QAT/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/THA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Pair/USA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Latam/VEN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Asia/VNM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/YEM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", + "World/Persian Gulf/ARE/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/AZE/Industry/Total fisheries production (metric tons)", + "World/Asia/BGD/Industry/Total fisheries production (metric tons)", + "World/Latam/BRA/Industry/Total fisheries production (metric tons)", + "World/Latam/CHL/Industry/Total fisheries production (metric tons)", + "World/Pair/CHN/Industry/Total fisheries production (metric tons)", + "World/South Africa/CMR/Industry/Total fisheries production (metric tons)", + "World/Latam/CRI/Industry/Total fisheries production (metric tons)", + "World/North Africa/EGY/Industry/Total fisheries production (metric tons)", + "World/Europe/HRV/Industry/Total fisheries production (metric tons)", + "World/Asia/IDN/Industry/Total fisheries production (metric tons)", + "World/Asia/IND/Industry/Total fisheries production (metric tons)", + "World/North Africa/ISR/Industry/Total fisheries production (metric tons)", + "World/North Africa/MAR/Industry/Total fisheries production (metric tons)", + "World/Latam/MEX/Industry/Total fisheries production (metric tons)", + "World/South Africa/MOZ/Industry/Total fisheries production (metric tons)", + "World/South Africa/NGA/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/OMN/Industry/Total fisheries production (metric tons)", + "World/Asia/PHL/Industry/Total fisheries production (metric tons)", + "World/Europe/POL/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/SAU/Industry/Total fisheries production (metric tons)", + "World/Asia/THA/Industry/Total fisheries production (metric tons)", + "World/Asia/VNM/Industry/Total fisheries production (metric tons)", + "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/BGD/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/CHL/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Pair/CHN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/CRI/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/DZA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/EGY/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/GBR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/HRV/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/IND/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/IRQ/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/ISR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/KOR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/MAR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/MEX/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/NLD/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Latam/PAN/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/PHL/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Europe/SWE/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/THA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/North Africa/TUR/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Pair/USA/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Asia/VNM/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/YEM/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (% change from 1990)", + "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/BGD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/BRA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/CHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Pair/CHN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/CMR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/COL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/CRI/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/DEU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/DZA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/EGY/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/GBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/GHA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/GRC/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/IDN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/IND/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/ISR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/KOR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/LBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/MAR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/MEX/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/NGA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/NLD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/PAN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Latam/PER/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/PHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/SAU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/SEN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Europe/SWE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/THA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/North Africa/TUR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Asia/VNM/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", + "World/Persian Gulf/ARE/Economy/Total reserves (includes gold, current US$)", + "World/Asia/BGD/Economy/Total reserves (includes gold, current US$)", + "World/Latam/BRA/Economy/Total reserves (includes gold, current US$)", + "World/Latam/CHL/Economy/Total reserves (includes gold, current US$)", + "World/Pair/CHN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/COL/Economy/Total reserves (includes gold, current US$)", + "World/Latam/CRI/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/DZA/Economy/Total reserves (includes gold, current US$)", + "World/Europe/ESP/Economy/Total reserves (includes gold, current US$)", + "World/Europe/FRA/Economy/Total reserves (includes gold, current US$)", + "World/Europe/GBR/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/GHA/Economy/Total reserves (includes gold, current US$)", + "World/Asia/IDN/Economy/Total reserves (includes gold, current US$)", + "World/Asia/IND/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/IRQ/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/ISR/Economy/Total reserves (includes gold, current US$)", + "World/Asia/KOR/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/LBR/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/MAR/Economy/Total reserves (includes gold, current US$)", + "World/Latam/MEX/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/MOZ/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/OMN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/PAN/Economy/Total reserves (includes gold, current US$)", + "World/Latam/PER/Economy/Total reserves (includes gold, current US$)", + "World/Asia/PHL/Economy/Total reserves (includes gold, current US$)", + "World/Europe/POL/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/QAT/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/SAU/Economy/Total reserves (includes gold, current US$)", + "World/Europe/SWE/Economy/Total reserves (includes gold, current US$)", + "World/Asia/THA/Economy/Total reserves (includes gold, current US$)", + "World/North Africa/TUR/Economy/Total reserves (includes gold, current US$)", + "World/Pair/USA/Economy/Total reserves (includes gold, current US$)", + "World/Latam/VEN/Economy/Total reserves (includes gold, current US$)", + "World/Asia/VNM/Economy/Total reserves (includes gold, current US$)", + "World/South Africa/ZAF/Economy/Total reserves (includes gold, current US$)", + "World/Persian Gulf/ARE/Economy/Total reserves minus gold (current US$)", + "World/Asia/BGD/Economy/Total reserves minus gold (current US$)", + "World/Latam/BRA/Economy/Total reserves minus gold (current US$)", + "World/Latam/CHL/Economy/Total reserves minus gold (current US$)", + "World/Pair/CHN/Economy/Total reserves minus gold (current US$)", + "World/Latam/COL/Economy/Total reserves minus gold (current US$)", + "World/Latam/CRI/Economy/Total reserves minus gold (current US$)", + "World/North Africa/DZA/Economy/Total reserves minus gold (current US$)", + "World/Europe/FRA/Economy/Total reserves minus gold (current US$)", + "World/Europe/GBR/Economy/Total reserves minus gold (current US$)", + "World/South Africa/GHA/Economy/Total reserves minus gold (current US$)", + "World/Asia/IDN/Economy/Total reserves minus gold (current US$)", + "World/Asia/IND/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/IRQ/Economy/Total reserves minus gold (current US$)", + "World/North Africa/ISR/Economy/Total reserves minus gold (current US$)", + "World/Asia/KOR/Economy/Total reserves minus gold (current US$)", + "World/South Africa/LBR/Economy/Total reserves minus gold (current US$)", + "World/North Africa/MAR/Economy/Total reserves minus gold (current US$)", + "World/Latam/MEX/Economy/Total reserves minus gold (current US$)", + "World/South Africa/MOZ/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/OMN/Economy/Total reserves minus gold (current US$)", + "World/Latam/PAN/Economy/Total reserves minus gold (current US$)", + "World/Latam/PER/Economy/Total reserves minus gold (current US$)", + "World/Asia/PHL/Economy/Total reserves minus gold (current US$)", + "World/Europe/POL/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/QAT/Economy/Total reserves minus gold (current US$)", + "World/Persian Gulf/SAU/Economy/Total reserves minus gold (current US$)", + "World/Europe/SWE/Economy/Total reserves minus gold (current US$)", + "World/Asia/THA/Economy/Total reserves minus gold (current US$)", + "World/North Africa/TUR/Economy/Total reserves minus gold (current US$)", + "World/Latam/VEN/Economy/Total reserves minus gold (current US$)", + "World/Asia/VNM/Economy/Total reserves minus gold (current US$)", + "World/South Africa/ZAF/Economy/Total reserves minus gold (current US$)", + "World/Latam/ARG/Health/UHC service coverage index", + "World/Europe/AUT/Health/UHC service coverage index", + "World/Persian Gulf/AZE/Health/UHC service coverage index", + "World/Asia/BGD/Health/UHC service coverage index", + "World/Latam/BRA/Health/UHC service coverage index", + "World/Latam/CHL/Health/UHC service coverage index", + "World/Pair/CHN/Health/UHC service coverage index", + "World/South Africa/CMR/Health/UHC service coverage index", + "World/Latam/COL/Health/UHC service coverage index", + "World/Latam/CRI/Health/UHC service coverage index", + "World/Europe/DEU/Health/UHC service coverage index", + "World/North Africa/DZA/Health/UHC service coverage index", + "World/North Africa/EGY/Health/UHC service coverage index", + "World/Europe/ESP/Health/UHC service coverage index", + "World/Europe/FRA/Health/UHC service coverage index", + "World/Europe/GBR/Health/UHC service coverage index", + "World/South Africa/GHA/Health/UHC service coverage index", + "World/Europe/GRC/Health/UHC service coverage index", + "World/Europe/HRV/Health/UHC service coverage index", + "World/Asia/IDN/Health/UHC service coverage index", + "World/Asia/IND/Health/UHC service coverage index", + "World/Persian Gulf/IRQ/Health/UHC service coverage index", + "World/North Africa/ISR/Health/UHC service coverage index", + "World/Asia/KOR/Health/UHC service coverage index", + "World/South Africa/LBR/Health/UHC service coverage index", + "World/North Africa/MAR/Health/UHC service coverage index", + "World/Latam/MEX/Health/UHC service coverage index", + "World/South Africa/MOZ/Health/UHC service coverage index", + "World/South Africa/NGA/Health/UHC service coverage index", + "World/Europe/NLD/Health/UHC service coverage index", + "World/Persian Gulf/OMN/Health/UHC service coverage index", + "World/Latam/PAN/Health/UHC service coverage index", + "World/Latam/PER/Health/UHC service coverage index", + "World/Asia/PHL/Health/UHC service coverage index", + "World/Europe/POL/Health/UHC service coverage index", + "World/Persian Gulf/QAT/Health/UHC service coverage index", + "World/South Africa/SEN/Health/UHC service coverage index", + "World/Europe/SWE/Health/UHC service coverage index", + "World/Asia/THA/Health/UHC service coverage index", + "World/North Africa/TUR/Health/UHC service coverage index", + "World/Pair/USA/Health/UHC service coverage index", + "World/Latam/VEN/Health/UHC service coverage index", + "World/Asia/VNM/Health/UHC service coverage index", + "World/Persian Gulf/YEM/Health/UHC service coverage index", + "World/South Africa/ZAF/Health/UHC service coverage index", + "World/Persian Gulf/ARE/Demography/Urban population", + "World/Latam/ARG/Demography/Urban population", + "World/Persian Gulf/AZE/Demography/Urban population", + "World/Asia/BGD/Demography/Urban population", + "World/Latam/BRA/Demography/Urban population", + "World/Latam/CHL/Demography/Urban population", + "World/Pair/CHN/Demography/Urban population", + "World/South Africa/CMR/Demography/Urban population", + "World/Latam/COL/Demography/Urban population", + "World/Latam/CRI/Demography/Urban population", + "World/North Africa/DZA/Demography/Urban population", + "World/North Africa/EGY/Demography/Urban population", + "World/Europe/ESP/Demography/Urban population", + "World/Europe/FRA/Demography/Urban population", + "World/Europe/GBR/Demography/Urban population", + "World/South Africa/GHA/Demography/Urban population", + "World/Asia/IDN/Demography/Urban population", + "World/Asia/IND/Demography/Urban population", + "World/North Africa/ISR/Demography/Urban population", + "World/Asia/KOR/Demography/Urban population", + "World/South Africa/LBR/Demography/Urban population", + "World/North Africa/MAR/Demography/Urban population", + "World/Latam/MEX/Demography/Urban population", + "World/South Africa/MOZ/Demography/Urban population", + "World/South Africa/NGA/Demography/Urban population", + "World/Europe/NLD/Demography/Urban population", + "World/Persian Gulf/OMN/Demography/Urban population", + "World/Latam/PAN/Demography/Urban population", + "World/Latam/PER/Demography/Urban population", + "World/Asia/PHL/Demography/Urban population", + "World/Europe/POL/Demography/Urban population", + "World/Persian Gulf/QAT/Demography/Urban population", + "World/Persian Gulf/SAU/Demography/Urban population", + "World/South Africa/SEN/Demography/Urban population", + "World/Asia/THA/Demography/Urban population", + "World/North Africa/TUR/Demography/Urban population", + "World/Pair/USA/Demography/Urban population", + "World/Latam/VEN/Demography/Urban population", + "World/Asia/VNM/Demography/Urban population", + "World/Persian Gulf/YEM/Demography/Urban population", + "World/South Africa/ZAF/Demography/Urban population", + "World/Persian Gulf/ARE/Demography/Urban population (% of total population)", + "World/Latam/ARG/Demography/Urban population (% of total population)", + "World/Persian Gulf/AZE/Demography/Urban population (% of total population)", + "World/Asia/BGD/Demography/Urban population (% of total population)", + "World/Latam/BRA/Demography/Urban population (% of total population)", + "World/Latam/CHL/Demography/Urban population (% of total population)", + "World/Pair/CHN/Demography/Urban population (% of total population)", + "World/South Africa/CMR/Demography/Urban population (% of total population)", + "World/Latam/COL/Demography/Urban population (% of total population)", + "World/Latam/CRI/Demography/Urban population (% of total population)", + "World/Europe/DEU/Demography/Urban population (% of total population)", + "World/North Africa/DZA/Demography/Urban population (% of total population)", + "World/Europe/ESP/Demography/Urban population (% of total population)", + "World/Europe/FRA/Demography/Urban population (% of total population)", + "World/Europe/GBR/Demography/Urban population (% of total population)", + "World/South Africa/GHA/Demography/Urban population (% of total population)", + "World/Europe/GRC/Demography/Urban population (% of total population)", + "World/Europe/HRV/Demography/Urban population (% of total population)", + "World/Asia/IDN/Demography/Urban population (% of total population)", + "World/Asia/IND/Demography/Urban population (% of total population)", + "World/Persian Gulf/IRQ/Demography/Urban population (% of total population)", + "World/North Africa/ISR/Demography/Urban population (% of total population)", + "World/South Africa/LBR/Demography/Urban population (% of total population)", + "World/North Africa/MAR/Demography/Urban population (% of total population)", + "World/Latam/MEX/Demography/Urban population (% of total population)", + "World/South Africa/MOZ/Demography/Urban population (% of total population)", + "World/South Africa/NGA/Demography/Urban population (% of total population)", + "World/Europe/NLD/Demography/Urban population (% of total population)", + "World/Persian Gulf/OMN/Demography/Urban population (% of total population)", + "World/Latam/PAN/Demography/Urban population (% of total population)", + "World/Latam/PER/Demography/Urban population (% of total population)", + "World/Europe/POL/Demography/Urban population (% of total population)", + "World/Persian Gulf/QAT/Demography/Urban population (% of total population)", + "World/Persian Gulf/SAU/Demography/Urban population (% of total population)", + "World/South Africa/SEN/Demography/Urban population (% of total population)", + "World/Asia/THA/Demography/Urban population (% of total population)", + "World/North Africa/TUR/Demography/Urban population (% of total population)", + "World/Pair/USA/Demography/Urban population (% of total population)", + "World/Latam/VEN/Demography/Urban population (% of total population)", + "World/Asia/VNM/Demography/Urban population (% of total population)", + "World/Persian Gulf/YEM/Demography/Urban population (% of total population)", + "World/South Africa/ZAF/Demography/Urban population (% of total population)", + "World/Europe/AUT/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/AZE/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/BGD/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/CHL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Pair/CHN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/COL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/CRI/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/DEU/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/DZA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/EGY/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/GBR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/GHA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/HRV/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/IND/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/ISR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/KOR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/MAR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/MEX/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/MOZ/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/NGA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/NLD/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/PAN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/PER/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/PHL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/POL/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/SAU/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Europe/SWE/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/THA/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/North Africa/TUR/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Latam/VEN/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Asia/VNM/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/YEM/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/South Africa/ZAF/Equality/Women Business and the Law Index Score (scale 1-100)", + "World/Persian Gulf/ARE/A&D", + "World/Latam/ARG/A&D", + "World/Europe/AUT/A&D", + "World/Persian Gulf/AZE/A&D", + "World/Asia/BGD/A&D", + "World/Latam/BRA/A&D", + "World/Latam/CHL/A&D", + "World/Pair/CHN/A&D", + "World/Latam/CRI/A&D", + "World/North Africa/EGY/A&D", + "World/Europe/GBR/A&D", + "World/South Africa/GHA/A&D", + "World/Europe/HRV/A&D", + "World/Asia/IND/A&D", + "World/North Africa/ISR/A&D", + "World/Asia/KOR/A&D", + "World/North Africa/MAR/A&D", + "World/Latam/MEX/A&D", + "World/South Africa/MOZ/A&D", + "World/South Africa/NGA/A&D", + "World/Europe/NLD/A&D", + "World/Persian Gulf/OMN/A&D", + "World/Latam/PAN/A&D", + "World/Europe/POL/A&D", + "World/Persian Gulf/QAT/A&D", + "World/Asia/THA/A&D", + "World/Pair/USA/A&D", + "World/Latam/VEN/A&D", + "World/Asia/VNM/A&D", + "World/Persian Gulf/YEM/A&D", + "World/Persian Gulf/ARE/Agriculture", + "World/Latam/ARG/Agriculture", + "World/Europe/AUT/Agriculture", + "World/Persian Gulf/AZE/Agriculture", + "World/Asia/BGD/Agriculture", + "World/Latam/BRA/Agriculture", + "World/Latam/CHL/Agriculture", + "World/Pair/CHN/Agriculture", + "World/South Africa/CMR/Agriculture", + "World/Latam/COL/Agriculture", + "World/Latam/CRI/Agriculture", + "World/Europe/DEU/Agriculture", + 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Africa/TUR/Agriculture", + "World/Pair/USA/Agriculture", + "World/Latam/VEN/Agriculture", + "World/Asia/VNM/Agriculture", + "World/Persian Gulf/YEM/Agriculture", + "World/South Africa/ZAF/Agriculture", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Europe/AUT/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/Europe/DEU/Demography", + "World/North Africa/DZA/Demography", + "World/North Africa/EGY/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Europe/GRC/Demography", + "World/Europe/HRV/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/Persian Gulf/IRQ/Demography", + 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Africa/EGY/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/GRC/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/South Africa/NGA/Economy", + "World/Europe/NLD/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/South Africa/SEN/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + 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"World/Europe/GRC/Equality", + "World/Europe/HRV/Equality", + "World/Asia/IND/Equality", + "World/North Africa/ISR/Equality", + "World/Asia/KOR/Equality", + "World/North Africa/MAR/Equality", + "World/Latam/MEX/Equality", + "World/South Africa/MOZ/Equality", + "World/South Africa/NGA/Equality", + "World/Europe/NLD/Equality", + "World/Persian Gulf/OMN/Equality", + "World/Latam/PAN/Equality", + "World/Latam/PER/Equality", + "World/Asia/PHL/Equality", + "World/Europe/POL/Equality", + "World/Persian Gulf/QAT/Equality", + "World/Persian Gulf/SAU/Equality", + "World/South Africa/SEN/Equality", + "World/Europe/SWE/Equality", + "World/Asia/THA/Equality", + "World/North Africa/TUR/Equality", + "World/Pair/USA/Equality", + "World/Latam/VEN/Equality", + "World/Asia/VNM/Equality", + "World/Persian Gulf/YEM/Equality", + "World/South Africa/ZAF/Equality", + "World/Persian Gulf/ARE/Exports", + "World/Europe/AUT/Exports", + "World/Persian Gulf/AZE/Exports", + "World/Asia/BGD/Exports", + 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emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from gaseous fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from liquid fuel consumption (kt)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Capture fisheries production (metric tons)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Cereal yield (kg per hectare)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Combustible renewables and waste (% of total energy)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial bank branches (per 100,000 adults)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service exports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Commercial service imports (current US$)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth registration (%)", + "Completeness of birth 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equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Container port traffic (TEU: 20 foot equivalent units)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Crop production index (2014-2016 = 100)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure (% of GDP)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita 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health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Current health expenditure per capita (current US$)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Customs and other import duties (% of tax revenue)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit to private sector by banks (% of GDP)", + "Domestic credit 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government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic general government health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Domestic private health expenditure per capita (current US$)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric power consumption (kWh per capita)", + "Electric 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US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Industry (including construction), value added (current US$)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "Intentional homicides (per 100,000 people)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "International migrant stock (% of population)", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (%)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Lifetime risk of maternal death (1 in: rate varies by country)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Livestock production index (2014-2016 = 100)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Low-birthweight babies (% of births)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Market capitalization of listed domestic companies (current US$)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Maternal mortality ratio (modeled estimate, per 100,000 live births)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports by the reporting economy (current US$)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", + "Merchandise imports (current US$)", + "Merchandise imports 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"Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the reporting economy (current US$)", + "Merchandise imports by the 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(% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", + "Merchandise imports from low- and middle-income 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+ "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (% change from 1990)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane emissions (kt of CO2 equivalent)", + "Methane 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tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Military expenditure (current USD)", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Mobile cellular subscriptions (per 100 people)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Monetary Sector credit to private sector (% GDP)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Mortality caused by road traffic injury (per 100,000 population)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net barter terms of trade index (2000 = 100)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + "Net primary income (BoP, current US$)", + 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income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net primary income (Net income from abroad) (current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (BoP, current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current US$)", + "Net secondary income (Net current transfers from abroad) (current 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"World/Europe/GRC/Agriculture", + "World/Asia/IDN/Agriculture", + "World/Asia/IND/Agriculture", + "World/Asia/KOR/Agriculture", + "World/South Africa/LBR/Agriculture", + "World/North Africa/MAR/Agriculture", + "World/South Africa/MOZ/Agriculture", + "World/Latam/PAN/Agriculture", + "World/Europe/POL/Agriculture", + "World/Europe/SWE/Agriculture", + "World/North Africa/TUR/Agriculture", + "World/Pair/USA/Agriculture", + "World/Persian Gulf/YEM/Agriculture", + "World/Persian Gulf/ARE/Industry", + "World/Latam/ARG/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Pair/CHN/Industry", + "World/South Africa/CMR/Industry", + "World/Latam/COL/Industry", + "World/Latam/CRI/Industry", + "World/Europe/DEU/Industry", + "World/North Africa/DZA/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/FRA/Industry", + "World/South Africa/GHA/Industry", + "World/Europe/HRV/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", + "World/South Africa/LBR/Industry", + "World/North Africa/MAR/Industry", + "World/Latam/MEX/Industry", + "World/South Africa/MOZ/Industry", + "World/South Africa/NGA/Industry", + "World/Latam/PAN/Industry", + "World/Latam/PER/Industry", + "World/Asia/PHL/Industry", + "World/Europe/POL/Industry", + "World/Persian Gulf/SAU/Industry", + "World/South Africa/SEN/Industry", + "World/Asia/THA/Industry", + "World/North Africa/TUR/Industry", + "World/Pair/USA/Industry", + "World/Latam/VEN/Industry", + "World/Asia/VNM/Industry", + "World/Persian Gulf/YEM/Industry", + "World/South Africa/ZAF/Industry", + "World/Persian Gulf/ARE/Mortality", + "World/Asia/BGD/Mortality", + "World/Pair/CHN/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/DZA/Mortality", + "World/North Africa/EGY/Mortality", + "World/South Africa/GHA/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + 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Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/Europe/AUT/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Pair/CHN/Environment", + "World/Latam/CRI/Environment", + "World/Europe/DEU/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/FRA/Environment", + "World/Europe/GBR/Environment", + "World/Europe/GRC/Environment", + "World/Europe/HRV/Environment", + "World/Asia/IND/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/NGA/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Asia/PHL/Environment", + "World/Europe/POL/Environment", + "World/Persian Gulf/SAU/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/Pair/USA/Environment", + 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+ "World/North Africa/EGY/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/GRC/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/South Africa/NGA/Economy", + "World/Europe/NLD/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/South Africa/SEN/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Europe/AUT/Exports", + "World/Asia/BGD/Exports", + "World/Latam/CHL/Exports", + "World/Pair/CHN/Exports", + "World/South Africa/CMR/Exports", + "World/Latam/CRI/Exports", + "World/Europe/DEU/Exports", + "World/North Africa/DZA/Exports", + "World/Europe/ESP/Exports", + "World/Europe/GBR/Exports", + "World/Europe/GRC/Exports", + "World/Europe/HRV/Exports", + "World/Asia/IND/Exports", + "World/North Africa/ISR/Exports", + "World/Asia/KOR/Exports", + "World/North Africa/MAR/Exports", + "World/Latam/MEX/Exports", + "World/South Africa/NGA/Exports", + "World/Europe/NLD/Exports", + "World/Persian Gulf/OMN/Exports", + "World/Latam/PAN/Exports", + "World/Europe/POL/Exports", + "World/Persian Gulf/QAT/Exports", + "World/Persian Gulf/SAU/Exports", + "World/Europe/SWE/Exports", + "World/Asia/THA/Exports", + "World/Pair/USA/Exports", + "World/South Africa/ZAF/Exports", + "World/Persian Gulf/ARE/Imports", + "World/Europe/AUT/Imports", + "World/Persian Gulf/AZE/Imports", 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Gulf/YEM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Mortality", + "World/Latam/ARG/Mortality", + "World/Persian Gulf/AZE/Mortality", + "World/Asia/BGD/Mortality", + "World/Latam/CHL/Mortality", + "World/Pair/CHN/Mortality", + "World/South Africa/CMR/Mortality", + "World/Latam/COL/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/EGY/Mortality", + "World/Europe/ESP/Mortality", + "World/Europe/GBR/Mortality", + "World/South Africa/GHA/Mortality", + "World/Europe/GRC/Mortality", + "World/Europe/HRV/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/ISR/Mortality", + "World/Asia/KOR/Mortality", + "World/South Africa/LBR/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + "World/South Africa/MOZ/Mortality", + "World/South Africa/NGA/Mortality", + "World/Europe/NLD/Mortality", + "World/Latam/PAN/Mortality", + "World/Latam/PER/Mortality", + "World/Asia/PHL/Mortality", + "World/Europe/POL/Mortality", + "World/Persian Gulf/QAT/Mortality", + "World/Persian Gulf/SAU/Mortality", + "World/South Africa/SEN/Mortality", + "World/Asia/THA/Mortality", + "World/North Africa/TUR/Mortality", + "World/Pair/USA/Mortality", + "World/Asia/VNM/Mortality", + "World/Persian Gulf/YEM/Mortality", + "World/Persian Gulf/ARE/Health", + "World/Latam/ARG/Health", + "World/Persian Gulf/AZE/Health", + "World/Asia/BGD/Health", + "World/Latam/CHL/Health", + "World/Pair/CHN/Health", + "World/South Africa/CMR/Health", + "World/Latam/COL/Health", + "World/Latam/CRI/Health", + "World/North Africa/EGY/Health", + "World/Europe/ESP/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/GRC/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/Asia/IND/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/South Africa/LBR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/South Africa/NGA/Health", + "World/Europe/NLD/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Europe/POL/Health", + "World/Persian Gulf/QAT/Health", + "World/Persian Gulf/SAU/Health", + "World/South Africa/SEN/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Pair/USA/Health", + "World/Latam/VEN/Health", + "World/Asia/VNM/Health", + "World/Persian Gulf/YEM/Health", + "World/Persian Gulf/ARE/Industry", + "World/Latam/ARG/Industry", + "World/Europe/AUT/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Latam/BRA/Industry", + "World/Pair/CHN/Industry", + "World/Latam/COL/Industry", + "World/Latam/CRI/Industry", + "World/North Africa/DZA/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/GBR/Industry", + "World/South Africa/GHA/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", 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Africa/DZA/Health", + "World/Europe/ESP/Health", + "World/Europe/FRA/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/Europe/NLD/Health", + "World/Persian Gulf/OMN/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Persian Gulf/QAT/Health", + "World/South Africa/SEN/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Asia/VNM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/South Africa/GHA/Economy", + "World/Europe/HRV/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/Latam/MEX/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Asia/THA/Economy", + "World/Pair/USA/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Persian Gulf/ARE/Mortality", + "World/Latam/ARG/Mortality", + "World/Persian Gulf/AZE/Mortality", + "World/Asia/BGD/Mortality", + "World/Latam/CHL/Mortality", + "World/Pair/CHN/Mortality", + "World/South Africa/CMR/Mortality", + "World/Latam/CRI/Mortality", + "World/North Africa/DZA/Mortality", + "World/North Africa/EGY/Mortality", + "World/Europe/ESP/Mortality", + "World/Europe/GBR/Mortality", + "World/South Africa/GHA/Mortality", + "World/Europe/HRV/Mortality", + "World/Asia/IDN/Mortality", + "World/Asia/IND/Mortality", + "World/North Africa/ISR/Mortality", + "World/Asia/KOR/Mortality", + "World/South Africa/LBR/Mortality", + "World/North Africa/MAR/Mortality", + "World/Latam/MEX/Mortality", + "World/South Africa/MOZ/Mortality", + "World/South Africa/NGA/Mortality", + "World/Europe/NLD/Mortality", + "World/Latam/PAN/Mortality", + "World/Latam/PER/Mortality", + "World/Asia/PHL/Mortality", + "World/Europe/POL/Mortality", + "World/Persian Gulf/QAT/Mortality", + "World/Persian Gulf/SAU/Mortality", + "World/South Africa/SEN/Mortality", + "World/Asia/THA/Mortality", + "World/North Africa/TUR/Mortality", + "World/Pair/USA/Mortality", + "World/Asia/VNM/Mortality", + "World/Persian Gulf/YEM/Mortality", + "World/Persian Gulf/ARE/Exports", + "World/Europe/AUT/Exports", + "World/Persian Gulf/AZE/Exports", + "World/Asia/BGD/Exports", + "World/Latam/BRA/Exports", + "World/Latam/CHL/Exports", + "World/Pair/CHN/Exports", + "World/Latam/COL/Exports", + "World/Latam/CRI/Exports", + "World/Europe/DEU/Exports", + "World/North Africa/EGY/Exports", + "World/Europe/ESP/Exports", + 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Africa/MOZ/R&D", + "World/South Africa/NGA/R&D", + "World/Latam/PAN/R&D", + "World/Latam/PER/R&D", + "World/Asia/PHL/R&D", + "World/Europe/POL/R&D", + "World/South Africa/SEN/R&D", + "World/Asia/THA/R&D", + "World/North Africa/TUR/R&D", + "World/Latam/VEN/R&D", + "World/Asia/VNM/R&D", + "World/Persian Gulf/YEM/R&D", + "World/South Africa/ZAF/R&D", + "World/Latam/ARG/R&D", + "World/Asia/BGD/R&D", + "World/Latam/CHL/R&D", + "World/South Africa/CMR/R&D", + "World/Latam/COL/R&D", + "World/Latam/CRI/R&D", + "World/North Africa/EGY/R&D", + "World/South Africa/GHA/R&D", + "World/Europe/GRC/R&D", + "World/Asia/IDN/R&D", + "World/Asia/IND/R&D", + "World/North Africa/MAR/R&D", + "World/Latam/MEX/R&D", + "World/South Africa/MOZ/R&D", + "World/South Africa/NGA/R&D", + "World/Latam/PAN/R&D", + "World/Latam/PER/R&D", + "World/Asia/PHL/R&D", + "World/Europe/POL/R&D", + "World/South Africa/SEN/R&D", + "World/North Africa/TUR/R&D", + "World/Latam/VEN/R&D", + "World/Asia/VNM/R&D", + "World/South Africa/ZAF/R&D", + "World/Persian Gulf/ARE/A&D", + "World/Latam/ARG/A&D", + "World/Europe/AUT/A&D", + "World/Persian Gulf/AZE/A&D", + "World/Asia/BGD/A&D", + "World/Latam/BRA/A&D", + "World/Latam/CHL/A&D", + "World/Pair/CHN/A&D", + "World/Latam/CRI/A&D", + "World/North Africa/EGY/A&D", + "World/Europe/GBR/A&D", + "World/South Africa/GHA/A&D", + "World/Europe/HRV/A&D", + "World/Asia/IND/A&D", + "World/North Africa/ISR/A&D", + "World/Asia/KOR/A&D", + "World/North Africa/MAR/A&D", + "World/Latam/MEX/A&D", + "World/South Africa/MOZ/A&D", + "World/South Africa/NGA/A&D", + "World/Europe/NLD/A&D", + "World/Persian Gulf/OMN/A&D", + "World/Latam/PAN/A&D", + "World/Europe/POL/A&D", + "World/Persian Gulf/QAT/A&D", + "World/Asia/THA/A&D", + "World/Pair/USA/A&D", + "World/Latam/VEN/A&D", + "World/Asia/VNM/A&D", + "World/Persian Gulf/YEM/A&D", + "World/Persian Gulf/ARE/Industry", + "World/Persian Gulf/AZE/Industry", + "World/Asia/BGD/Industry", + "World/Latam/BRA/Industry", + "World/Latam/CHL/Industry", + "World/Pair/CHN/Industry", + "World/South Africa/CMR/Industry", + "World/Latam/CRI/Industry", + "World/North Africa/EGY/Industry", + "World/Europe/HRV/Industry", + "World/Asia/IDN/Industry", + "World/Asia/IND/Industry", + "World/North Africa/ISR/Industry", + "World/North Africa/MAR/Industry", + "World/Latam/MEX/Industry", + "World/South Africa/MOZ/Industry", + "World/South Africa/NGA/Industry", + "World/Persian Gulf/OMN/Industry", + "World/Asia/PHL/Industry", + "World/Europe/POL/Industry", + "World/Persian Gulf/SAU/Industry", + "World/Asia/THA/Industry", + "World/Asia/VNM/Industry", + "World/Persian Gulf/ARE/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Latam/CHL/Environment", + "World/Pair/CHN/Environment", + "World/Latam/CRI/Environment", + "World/North Africa/DZA/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/GBR/Environment", + "World/Europe/HRV/Environment", + "World/Asia/IND/Environment", + "World/Persian Gulf/IRQ/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/North Africa/MAR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/MOZ/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Asia/PHL/Environment", + "World/Persian Gulf/QAT/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/North Africa/TUR/Environment", + "World/Pair/USA/Environment", + "World/Asia/VNM/Environment", + "World/Persian Gulf/YEM/Environment", + "World/South Africa/ZAF/Environment", + "World/Persian Gulf/ARE/Environment", + "World/Persian Gulf/AZE/Environment", + "World/Asia/BGD/Environment", + "World/Latam/BRA/Environment", + "World/Latam/CHL/Environment", + "World/Pair/CHN/Environment", + "World/South Africa/CMR/Environment", + "World/Latam/COL/Environment", + "World/Latam/CRI/Environment", + "World/Europe/DEU/Environment", + "World/North Africa/DZA/Environment", + "World/North Africa/EGY/Environment", + "World/Europe/GBR/Environment", + "World/South Africa/GHA/Environment", + "World/Europe/GRC/Environment", + "World/Asia/IDN/Environment", + "World/Asia/IND/Environment", + "World/North Africa/ISR/Environment", + "World/Asia/KOR/Environment", + "World/South Africa/LBR/Environment", + "World/North Africa/MAR/Environment", + "World/Latam/MEX/Environment", + "World/South Africa/MOZ/Environment", + "World/South Africa/NGA/Environment", + "World/Europe/NLD/Environment", + "World/Persian Gulf/OMN/Environment", + "World/Latam/PAN/Environment", + "World/Latam/PER/Environment", + "World/Asia/PHL/Environment", + "World/Persian Gulf/QAT/Environment", + "World/Persian Gulf/SAU/Environment", + "World/South Africa/SEN/Environment", + "World/Europe/SWE/Environment", + "World/Asia/THA/Environment", + "World/North Africa/TUR/Environment", + "World/Asia/VNM/Environment", + "World/South Africa/ZAF/Environment", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/BRA/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/Latam/CRI/Economy", + "World/North Africa/DZA/Economy", + "World/Europe/ESP/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Pair/USA/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Persian Gulf/ARE/Economy", + "World/Asia/BGD/Economy", + "World/Latam/BRA/Economy", + "World/Latam/CHL/Economy", + "World/Pair/CHN/Economy", + "World/Latam/COL/Economy", + "World/Latam/CRI/Economy", + "World/North Africa/DZA/Economy", + "World/Europe/FRA/Economy", + "World/Europe/GBR/Economy", + "World/South Africa/GHA/Economy", + "World/Asia/IDN/Economy", + "World/Asia/IND/Economy", + "World/Persian Gulf/IRQ/Economy", + "World/North Africa/ISR/Economy", + "World/Asia/KOR/Economy", + "World/South Africa/LBR/Economy", + "World/North Africa/MAR/Economy", + "World/Latam/MEX/Economy", + "World/South Africa/MOZ/Economy", + "World/Persian Gulf/OMN/Economy", + "World/Latam/PAN/Economy", + "World/Latam/PER/Economy", + "World/Asia/PHL/Economy", + "World/Europe/POL/Economy", + "World/Persian Gulf/QAT/Economy", + "World/Persian Gulf/SAU/Economy", + "World/Europe/SWE/Economy", + "World/Asia/THA/Economy", + "World/North Africa/TUR/Economy", + "World/Latam/VEN/Economy", + "World/Asia/VNM/Economy", + "World/South Africa/ZAF/Economy", + "World/Latam/ARG/Health", + "World/Europe/AUT/Health", + "World/Persian Gulf/AZE/Health", + "World/Asia/BGD/Health", + "World/Latam/BRA/Health", + "World/Latam/CHL/Health", + "World/Pair/CHN/Health", + "World/South Africa/CMR/Health", + "World/Latam/COL/Health", + "World/Latam/CRI/Health", + "World/Europe/DEU/Health", + "World/North Africa/DZA/Health", + "World/North Africa/EGY/Health", + "World/Europe/ESP/Health", + "World/Europe/FRA/Health", + "World/Europe/GBR/Health", + "World/South Africa/GHA/Health", + "World/Europe/GRC/Health", + "World/Europe/HRV/Health", + "World/Asia/IDN/Health", + "World/Asia/IND/Health", + "World/Persian Gulf/IRQ/Health", + "World/North Africa/ISR/Health", + "World/Asia/KOR/Health", + "World/South Africa/LBR/Health", + "World/North Africa/MAR/Health", + "World/Latam/MEX/Health", + "World/South Africa/MOZ/Health", + "World/South Africa/NGA/Health", + "World/Europe/NLD/Health", + "World/Persian Gulf/OMN/Health", + "World/Latam/PAN/Health", + "World/Latam/PER/Health", + "World/Asia/PHL/Health", + "World/Europe/POL/Health", + "World/Persian Gulf/QAT/Health", + "World/South Africa/SEN/Health", + "World/Europe/SWE/Health", + "World/Asia/THA/Health", + "World/North Africa/TUR/Health", + "World/Pair/USA/Health", + "World/Latam/VEN/Health", + "World/Asia/VNM/Health", + "World/Persian Gulf/YEM/Health", + "World/South Africa/ZAF/Health", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/North Africa/DZA/Demography", + "World/North Africa/EGY/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/North Africa/ISR/Demography", + "World/Asia/KOR/Demography", + "World/South Africa/LBR/Demography", + "World/North Africa/MAR/Demography", + "World/Latam/MEX/Demography", + "World/South Africa/MOZ/Demography", + "World/South Africa/NGA/Demography", + "World/Europe/NLD/Demography", + "World/Persian Gulf/OMN/Demography", + "World/Latam/PAN/Demography", + "World/Latam/PER/Demography", + "World/Asia/PHL/Demography", + "World/Europe/POL/Demography", + "World/Persian Gulf/QAT/Demography", + "World/Persian Gulf/SAU/Demography", + "World/South Africa/SEN/Demography", + "World/Asia/THA/Demography", + "World/North Africa/TUR/Demography", + "World/Pair/USA/Demography", + "World/Latam/VEN/Demography", + "World/Asia/VNM/Demography", + "World/Persian Gulf/YEM/Demography", + "World/South Africa/ZAF/Demography", + "World/Persian Gulf/ARE/Demography", + "World/Latam/ARG/Demography", + "World/Persian Gulf/AZE/Demography", + "World/Asia/BGD/Demography", + "World/Latam/BRA/Demography", + "World/Latam/CHL/Demography", + "World/Pair/CHN/Demography", + "World/South Africa/CMR/Demography", + "World/Latam/COL/Demography", + "World/Latam/CRI/Demography", + "World/Europe/DEU/Demography", + "World/North Africa/DZA/Demography", + "World/Europe/ESP/Demography", + "World/Europe/FRA/Demography", + "World/Europe/GBR/Demography", + "World/South Africa/GHA/Demography", + "World/Europe/GRC/Demography", + "World/Europe/HRV/Demography", + "World/Asia/IDN/Demography", + "World/Asia/IND/Demography", + "World/Persian Gulf/IRQ/Demography", + "World/North Africa/ISR/Demography", + "World/South Africa/LBR/Demography", + "World/North Africa/MAR/Demography", + "World/Latam/MEX/Demography", + "World/South Africa/MOZ/Demography", + "World/South Africa/NGA/Demography", + "World/Europe/NLD/Demography", + "World/Persian Gulf/OMN/Demography", + "World/Latam/PAN/Demography", + "World/Latam/PER/Demography", + "World/Europe/POL/Demography", + "World/Persian Gulf/QAT/Demography", + "World/Persian Gulf/SAU/Demography", + "World/South Africa/SEN/Demography", + "World/Asia/THA/Demography", + "World/North Africa/TUR/Demography", + "World/Pair/USA/Demography", + "World/Latam/VEN/Demography", + "World/Asia/VNM/Demography", + "World/Persian Gulf/YEM/Demography", + "World/South Africa/ZAF/Demography", + "World/Europe/AUT/Equality", + "World/Persian Gulf/AZE/Equality", + "World/Asia/BGD/Equality", + "World/Latam/CHL/Equality", + "World/Pair/CHN/Equality", + "World/Latam/COL/Equality", + "World/Latam/CRI/Equality", + "World/Europe/DEU/Equality", + "World/North Africa/DZA/Equality", + "World/North Africa/EGY/Equality", + "World/Europe/GBR/Equality", + "World/South Africa/GHA/Equality", + "World/Europe/HRV/Equality", + "World/Asia/IND/Equality", + "World/North Africa/ISR/Equality", + "World/Asia/KOR/Equality", + "World/North Africa/MAR/Equality", + "World/Latam/MEX/Equality", + "World/South Africa/MOZ/Equality", + "World/South Africa/NGA/Equality", + "World/Europe/NLD/Equality", + "World/Latam/PAN/Equality", + "World/Latam/PER/Equality", + "World/Asia/PHL/Equality", + "World/Europe/POL/Equality", + "World/Persian Gulf/SAU/Equality", + "World/Europe/SWE/Equality", + "World/Asia/THA/Equality", + "World/North Africa/TUR/Equality", + "World/Latam/VEN/Equality", + "World/Asia/VNM/Equality", + "World/Persian Gulf/YEM/Equality", + "World/South Africa/ZAF/Equality", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/Latam/CRI", + "World/North Africa/EGY", + "World/Europe/GBR", + "World/South Africa/GHA", + "World/Europe/HRV", + "World/Asia/IND", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Asia/THA", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/Europe/DEU", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/Europe/ESP", + "World/Europe/FRA", + "World/South Africa/GHA", + "World/Europe/GRC", + "World/Europe/HRV", + "World/Asia/IDN", + "World/Asia/IND", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Persian Gulf/SAU", + "World/South Africa/SEN", + "World/Europe/SWE", + "World/Asia/THA", + "World/North Africa/TUR", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/South Africa/ZAF", + "World/Persian Gulf/ARE", + "World/Latam/ARG", + "World/Europe/AUT", + "World/Persian Gulf/AZE", + "World/Asia/BGD", + "World/Latam/BRA", + "World/Latam/CHL", + "World/Pair/CHN", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/Europe/DEU", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/Europe/ESP", + "World/Europe/FRA", + "World/Europe/GBR", + "World/South Africa/GHA", + "World/Europe/GRC", + "World/Europe/HRV", + "World/Asia/IDN", + "World/Asia/IND", + "World/Persian Gulf/IRQ", + "World/North Africa/ISR", + "World/Asia/KOR", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Europe/NLD", + "World/Persian Gulf/OMN", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/Europe/POL", + "World/Persian Gulf/QAT", + "World/Persian Gulf/SAU", + "World/South Africa/SEN", + "World/Europe/SWE", + "World/Asia/THA", + "World/North Africa/TUR", + "World/Pair/USA", + "World/Latam/VEN", + "World/Asia/VNM", + "World/Persian Gulf/YEM", + "World/South Africa/ZAF", + "World/Latam/ARG", + "World/Asia/BGD", + "World/Latam/BRA", + "World/South Africa/CMR", + "World/Latam/COL", + "World/Latam/CRI", + "World/North Africa/DZA", + "World/North Africa/EGY", + "World/South Africa/GHA", + "World/Asia/IND", + "World/South Africa/LBR", + "World/North Africa/MAR", + "World/Latam/MEX", + "World/South Africa/MOZ", + "World/South Africa/NGA", + "World/Latam/PAN", + "World/Latam/PER", + "World/Asia/PHL", + "World/North Africa/TUR", + 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path_2_dropdown, path_3_dropdown,path_4_dropdown,ok_button]), out)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.9.12 ('base')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + }, + "vscode": { + "interpreter": { + "hash": "db2f77d7771d8a0072cf3f8e7f9965a22a9c65bf4f8ee5135b3d479c9967abaa" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/WDI-Extraction.ipynb b/WDI-Extraction.ipynb new file mode 100644 index 0000000..d31ec6b --- /dev/null +++ b/WDI-Extraction.ipynb @@ -0,0 +1,126 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Extraction" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Import libraries and functions." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import glob\n", + "import os\n", + "from zipfile import ZipFile\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This step has been depreciated due to security features added to the World Bank website. However, the data is still obtainable by openinng the `url`." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the following cells we are going to import the data from the [World Bank website](https://www.worldbank.org/en/home), Data sections, and decompress it. So later on, we can process it in the integration, and subsequent parts." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To download the data, we are going to use the `request` library as just to be sure that we do not run into any inconvinient we are going to use the `stream` and `verify` to have a simple and cleaner download. Therefore, at the end we will have the data downloaded in our working directory data by design. (It can be obtained with the following function `os.getcwd()`)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "url = 'https://databank.worldbank.org/data/download/WDI_csv.zip'\n", + "r = requests.get(url, allow_redirects=True, stream = True,verify=False)\n", + "open('WDI_csv.zip', 'wb').write(r.content)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then we extract all the files that are contained in WDI_csv.zip , into the default directory in a new folder called Data." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "zip_name = \"WDI_csv.zip\"\n", + "with ZipFile(zip_name, 'r') as zip:\n", + " zip.printdir()\n", + " zip.extractall('Data') " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally we are going to delete the WDI_csv.zip." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "os.remove(os.getcwd()+'/Data/'+\"/**.zip\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.9.12 ('base')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + }, + "vscode": { + "interpreter": { + "hash": "db2f77d7771d8a0072cf3f8e7f9965a22a9c65bf4f8ee5135b3d479c9967abaa" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/WDI-Integration.ipynb b/WDI-Integration.ipynb new file mode 100644 index 0000000..6c33e64 --- /dev/null +++ b/WDI-Integration.ipynb @@ -0,0 +1,912 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Integration" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Import libraries and functions." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import glob\n", + "import os\n", + "from zipfile import ZipFile\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")\n", + "import functools as ft\n", + "from pandas.api.types import is_numeric_dtype" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Firstly we load the database from World Data Bank that has been downloaded and extracted in the *Data extraction* notebook. We acquire it from the predetermined path that is on our computer." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Country NameCountry CodeIndicator NameIndicator Code196019611962196319641965...201320142015201620172018201920202021Unnamed: 66
0Africa Eastern and SouthernAFEAccess to clean fuels and technologies for coo...EG.CFT.ACCS.ZSNaNNaNNaNNaNNaNNaN...16.93600417.33789617.68709318.14097118.49134418.82552019.27221219.628009NaNNaN
1Africa Eastern and SouthernAFEAccess to clean fuels and technologies for coo...EG.CFT.ACCS.RU.ZSNaNNaNNaNNaNNaNNaN...6.4994716.6800666.8591107.0162387.1803647.3222947.5171917.651598NaNNaN
2Africa Eastern and SouthernAFEAccess to clean fuels and technologies for coo...EG.CFT.ACCS.UR.ZSNaNNaNNaNNaNNaNNaN...37.85539938.04678138.32625538.46842638.67004438.72278338.92701639.042839NaNNaN
3Africa Eastern and SouthernAFEAccess to electricity (% of population)EG.ELC.ACCS.ZSNaNNaNNaNNaNNaNNaN...31.79416032.00102733.87191038.88017340.26135843.06187744.27086045.803485NaNNaN
4Africa Eastern and SouthernAFEAccess to electricity, rural (% of rural popul...EG.ELC.ACCS.RU.ZSNaNNaNNaNNaNNaNNaN...18.66350217.63398616.46468124.53143625.34511127.44990829.64176030.404935NaNNaN
..................................................................
384365ZimbabweZWEWomen who believe a husband is justified in be...SG.VAW.REFU.ZSNaNNaNNaNNaNNaNNaN...NaNNaN14.500000NaNNaNNaNNaNNaNNaNNaN
384366ZimbabweZWEWomen who were first married by age 15 (% of w...SP.M15.2024.FE.ZSNaNNaNNaNNaNNaNNaN...NaNNaN3.700000NaNNaNNaN5.418352NaNNaNNaN
384367ZimbabweZWEWomen who were first married by age 18 (% of w...SP.M18.2024.FE.ZSNaNNaNNaNNaNNaNNaN...NaN33.50000032.400000NaNNaNNaN33.658057NaNNaNNaN
384368ZimbabweZWEWomen's share of population ages 15+ living wi...SH.DYN.AIDS.FE.ZSNaNNaNNaNNaNNaNNaN...59.20000059.40000059.50000059.70000059.90000060.00000060.20000060.400000NaNNaN
384369ZimbabweZWEYoung people (ages 15-24) newly infected with HIVSH.HIV.INCD.YGNaNNaNNaNNaNNaNNaN...18000.00000017000.00000015000.00000014000.00000012000.0000009700.0000009600.0000007500.000000NaNNaN
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" + ], + "text/plain": [ + " Country Name Country Code \\\n", + "0 Africa Eastern and Southern AFE \n", + "1 Africa Eastern and Southern AFE \n", + "2 Africa Eastern and Southern AFE \n", + "3 Africa Eastern and Southern AFE \n", + "4 Africa Eastern and Southern AFE \n", + "... ... ... \n", + "384365 Zimbabwe ZWE \n", + "384366 Zimbabwe ZWE \n", + "384367 Zimbabwe ZWE \n", + "384368 Zimbabwe ZWE \n", + "384369 Zimbabwe ZWE \n", + "\n", + " Indicator Name Indicator Code \\\n", + "0 Access to clean fuels and technologies for coo... EG.CFT.ACCS.ZS \n", + "1 Access to clean fuels and technologies for coo... EG.CFT.ACCS.RU.ZS \n", + "2 Access to clean fuels and technologies for coo... EG.CFT.ACCS.UR.ZS \n", + "3 Access to electricity (% of population) EG.ELC.ACCS.ZS \n", + "4 Access to electricity, rural (% of rural popul... EG.ELC.ACCS.RU.ZS \n", + "... ... ... \n", + "384365 Women who believe a husband is justified in be... SG.VAW.REFU.ZS \n", + "384366 Women who were first married by age 15 (% of w... SP.M15.2024.FE.ZS \n", + "384367 Women who were first married by age 18 (% of w... SP.M18.2024.FE.ZS \n", + "384368 Women's share of population ages 15+ living wi... SH.DYN.AIDS.FE.ZS \n", + "384369 Young people (ages 15-24) newly infected with HIV SH.HIV.INCD.YG \n", + "\n", + " 1960 1961 1962 1963 1964 1965 ... 2013 2014 \\\n", + "0 NaN NaN NaN NaN NaN NaN ... 16.936004 17.337896 \n", + "1 NaN NaN NaN NaN NaN NaN ... 6.499471 6.680066 \n", + "2 NaN NaN NaN NaN NaN NaN ... 37.855399 38.046781 \n", + "3 NaN NaN NaN NaN NaN NaN ... 31.794160 32.001027 \n", + "4 NaN NaN NaN NaN NaN NaN ... 18.663502 17.633986 \n", + "... ... ... ... ... ... ... ... ... ... \n", + "384365 NaN NaN NaN NaN NaN NaN ... NaN NaN \n", + "384366 NaN NaN NaN NaN NaN NaN ... NaN NaN \n", + "384367 NaN NaN NaN NaN NaN NaN ... NaN 33.500000 \n", + "384368 NaN NaN NaN NaN NaN NaN ... 59.200000 59.400000 \n", + "384369 NaN NaN NaN NaN NaN NaN ... 18000.000000 17000.000000 \n", + "\n", + " 2015 2016 2017 2018 2019 \\\n", + "0 17.687093 18.140971 18.491344 18.825520 19.272212 \n", + "1 6.859110 7.016238 7.180364 7.322294 7.517191 \n", + "2 38.326255 38.468426 38.670044 38.722783 38.927016 \n", + "3 33.871910 38.880173 40.261358 43.061877 44.270860 \n", + "4 16.464681 24.531436 25.345111 27.449908 29.641760 \n", + "... ... ... ... ... ... \n", + "384365 14.500000 NaN NaN NaN NaN \n", + "384366 3.700000 NaN NaN NaN 5.418352 \n", + "384367 32.400000 NaN NaN NaN 33.658057 \n", + "384368 59.500000 59.700000 59.900000 60.000000 60.200000 \n", + "384369 15000.000000 14000.000000 12000.000000 9700.000000 9600.000000 \n", + "\n", + " 2020 2021 Unnamed: 66 \n", + "0 19.628009 NaN NaN \n", + "1 7.651598 NaN NaN \n", + "2 39.042839 NaN NaN \n", + "3 45.803485 NaN NaN \n", + "4 30.404935 NaN NaN \n", + "... ... ... ... \n", + "384365 NaN NaN NaN \n", + "384366 NaN NaN NaN \n", + "384367 NaN NaN NaN \n", + "384368 60.400000 NaN NaN \n", + "384369 7500.000000 NaN NaN \n", + "\n", + "[384370 rows x 67 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df= pd.read_csv (os.getcwd()+'/Data/'+'WDIData.csv')\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Moreover, to work more comfortably, we remove those columns not useful for us, as *Country Name* and *Indicator Code*, since with the *Country Code*, *Value* and the *Indicator Name* we have the relevant information." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "df.drop(columns=[\"Country Name\",\"Indicator Code\"], axis=1, inplace=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "FILTER 1: BY COUNTRY\n", + "\n", + "From the almost two hundred countries we have information about in the worldwide database, we have decided to study 50 of them, making an initial grouping by geographical and economical similiarities. With this, we can keep in our dataframe the selected countries." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Criteria for grouping:\n", + "- Europe: Germany, France, Sweden, United Kingdom, Spain, Croatia, Poland, Greece, Austria and Netherlands.\n", + "\n", + "*Interesting countries of the European continent that can reflect events such as the Brexit process, the 2008 crisis or their historical strength.*\n", + "- Persian Gulf: Iraq, Qatar, United Arab Emirates, Arabia Saudita, Azerbayan, Yemen, Yemen Democratic and Oman.\n", + "\n", + "*Countries located in the Persian Gulf, which have a similar economy based mainly on petrol and social structures.*\n", + "- North Africa: Algeria, Egiypt, Lybia, Israel, Turkey and Morroco.\n", + "\n", + "*Countries of the african continent that are middle developed and with high mobility of people and goods.*\n", + "- South Africa: Senegal, South Africa, Liberia, Mozambique, Cameroon, Nigeria and Ghana.\n", + "\n", + "*Countries of the south and central africa that are mainly subdeveloped and considered some of the poorest countries worldwide; but, on the contrary, one of them is highly developed.*\n", + "- Asia: Bangladesh, India, Vietnam, Thailand, Indonesia, Philipines and Korea (South).\n", + "\n", + "*Converted in the last decades in the manufacturing of the world, they are subdeveloped countries with high population and childhood.*\n", + "- Latin America: Mexico, Brasil, Argentina, Peru, Venezuela, Colombia, Chile, Panama and Costa Rica.\n", + "\n", + "*Countries located in same continet and some with singular political structures.* \n", + "- Pair: USA and China.\n", + "\n", + "*Although these countries seem to be confronted between them, they have been the top two most growing worlwide, despite the fact that culturally and economically they are completely distant.*\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "europe_list=['DEU','FRA','SWE','GBR','ESP','HRV','POL','GRC','AUT','NLD']\n", + "persian_list=['IRQ','QAT','ARE','SAU','AZE','YEM','YDR','OMN']\n", + "naf_list=['DZA','EGY','LBY','ISR','TUR','MAR']\n", + "saf_list=['SEN','ZAF','LBR','MOZ','CMR','NGA','GHA']\n", + "asia_list=['BGD','IND','VNM','THA','IDN','PHL','KOR']\n", + "latam_list=['MEX','BRA','ARG','PER','VEN','COL','CHL','PAN','CRI']\n", + "two_list=['USA','CHN']\n", + "country_list=europe_list+persian_list+naf_list+saf_list+asia_list+latam_list+two_list " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "df1=df.loc[df['Country Code'].isin(country_list)]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we transpose the rows of years into the columns." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Country CodeIndicator NameDateValue
0DZAAccess to clean fuels and technologies for coo...200097.1
1DZAAccess to clean fuels and technologies for coo...200197.3
2DZAAccess to clean fuels and technologies for coo...200297.8
3DZAAccess to clean fuels and technologies for coo...200398.0
4DZAAccess to clean fuels and technologies for coo...200498.2
...............
1769874YEMYoung people (ages 15-24) newly infected with HIV2016200.0
1769875YEMYoung people (ages 15-24) newly infected with HIV2017200.0
1769876YEMYoung people (ages 15-24) newly infected with HIV2018200.0
1769877YEMYoung people (ages 15-24) newly infected with HIV2019200.0
1769878YEMYoung people (ages 15-24) newly infected with HIV2020200.0
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" + ], + "text/plain": [ + " Country Code Indicator Name Date \\\n", + "0 DZA Access to clean fuels and technologies for coo... 2000 \n", + "1 DZA Access to clean fuels and technologies for coo... 2001 \n", + "2 DZA Access to clean fuels and technologies for coo... 2002 \n", + "3 DZA Access to clean fuels and technologies for coo... 2003 \n", + "4 DZA Access to clean fuels and technologies for coo... 2004 \n", + "... ... ... ... \n", + "1769874 YEM Young people (ages 15-24) newly infected with HIV 2016 \n", + "1769875 YEM Young people (ages 15-24) newly infected with HIV 2017 \n", + "1769876 YEM Young people (ages 15-24) newly infected with HIV 2018 \n", + "1769877 YEM Young people (ages 15-24) newly infected with HIV 2019 \n", + "1769878 YEM Young people (ages 15-24) newly infected with HIV 2020 \n", + "\n", + " Value \n", + "0 97.1 \n", + "1 97.3 \n", + "2 97.8 \n", + "3 98.0 \n", + "4 98.2 \n", + "... ... \n", + "1769874 200.0 \n", + "1769875 200.0 \n", + "1769876 200.0 \n", + "1769877 200.0 \n", + "1769878 200.0 \n", + "\n", + "[1769879 rows x 4 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2=(df1.set_index([\"Country Code\", \"Indicator Name\"]).stack().reset_index(name='Value').rename(columns={'level_2':'Date'}))\n", + "df2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "FILTER 2: BY YEAR\n", + "\n", + "Our time range covers from 1960 to 2021. However, the record is not uniform and complete for all areas and indicators. We can appreaciate that specially in the first years of the last century, so many data is missing, then it makes no sense to study it. Besides, for the year 2021 many data is also lacking. Therefore, we would delimit our study between 1990 and 2020." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "df2[['Date']] = df2[['Date']].astype(int)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Country Code object\n", + "Indicator Name object\n", + "Date int32\n", + "Value float64\n", + "dtype: object" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Country CodeIndicator NameDateValue
0DZAAccess to clean fuels and technologies for coo...200097.1
1DZAAccess to clean fuels and technologies for coo...200197.3
2DZAAccess to clean fuels and technologies for coo...200297.8
3DZAAccess to clean fuels and technologies for coo...200398.0
4DZAAccess to clean fuels and technologies for coo...200498.2
...............
1769874YEMYoung people (ages 15-24) newly infected with HIV2016200.0
1769875YEMYoung people (ages 15-24) newly infected with HIV2017200.0
1769876YEMYoung people (ages 15-24) newly infected with HIV2018200.0
1769877YEMYoung people (ages 15-24) newly infected with HIV2019200.0
1769878YEMYoung people (ages 15-24) newly infected with HIV2020200.0
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" + ], + "text/plain": [ + " Country Code Indicator Name Date \\\n", + "0 DZA Access to clean fuels and technologies for coo... 2000 \n", + "1 DZA Access to clean fuels and technologies for coo... 2001 \n", + "2 DZA Access to clean fuels and technologies for coo... 2002 \n", + "3 DZA Access to clean fuels and technologies for coo... 2003 \n", + "4 DZA Access to clean fuels and technologies for coo... 2004 \n", + "... ... ... ... \n", + "1769874 YEM Young people (ages 15-24) newly infected with HIV 2016 \n", + "1769875 YEM Young people (ages 15-24) newly infected with HIV 2017 \n", + "1769876 YEM Young people (ages 15-24) newly infected with HIV 2018 \n", + "1769877 YEM Young people (ages 15-24) newly infected with HIV 2019 \n", + "1769878 YEM Young people (ages 15-24) newly infected with HIV 2020 \n", + "\n", + " Value \n", + "0 97.1 \n", + "1 97.3 \n", + "2 97.8 \n", + "3 98.0 \n", + "4 98.2 \n", + "... ... \n", + "1769874 200.0 \n", + "1769875 200.0 \n", + "1769876 200.0 \n", + "1769877 200.0 \n", + "1769878 200.0 \n", + "\n", + "[1225418 rows x 4 columns]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df3 = df2[df2['Date'] > 1989]\n", + "df3" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "BronzeDataFrame=df3" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.9.12 ('base')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + }, + "vscode": { + "interpreter": { + "hash": "db2f77d7771d8a0072cf3f8e7f9965a22a9c65bf4f8ee5135b3d479c9967abaa" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/WDI-Normalization&Categorization.ipynb b/WDI-Normalization&Categorization.ipynb new file mode 100644 index 0000000..5881920 --- /dev/null +++ b/WDI-Normalization&Categorization.ipynb @@ -0,0 +1,8155 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Normalization" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Import libraries and functions." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import glob\n", + "import os\n", + "from zipfile import ZipFile\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")\n", + "import functools as ft\n", + "import ipywidgets as widgets\n", + "from ipywidgets import Layout\n", + "from ipywidgets import interact, interact_manual\n", + "from pandas.api.types import is_numeric_dtype" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Taking as reference both works of https://www.pluralsight.com/guides/cleaning-up-data-from-outliers and https://careerfoundry.com/en/blog/data-analytics/how-to-find-outliers/, for normalizing our data we need to start computing the outliers and removing them from our dataframe. As there is not a direct function of pandas that performs this step, it´s been step-by-step code, where we begin with the computation of the quartiles, then the IQR (Inter Quartile Range) and finally the upper and lower limit." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### IQR explanation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The interquartile range (IQR) measures the spread of the middle half of your data. It is the range for the middle 50% of your sample. Use the IQR to assess the variability where most of your values lie. Larger values indicate that the central portion of your data spread out further. Conversely, smaller values show that the middle values cluster more tightly.\n", + "\n", + "To visualize the interquartile range, imagine dividing your data into quarters. Statisticians refer to these quarters as quartiles and label them from low to high as Q1, Q2, Q3, and Q4. The lowest quartile (Q1) covers the smallest quarter of values in your dataset. The upper quartile (Q4) comprises the highest quarter of values. The interquartile range is the middle half of the data that lies between the upper and lower quartiles. In other words, the interquartile range includes the 50% of data points that are above Q1 and below Q4. The IQR is the red area in the graph below, containing Q2 and Q3 (not labeled).\n", + "\n", + "https://camo.githubusercontent.com/a5f6cf8164048f8c28f9b00b94e1264480c8c3b20a1b3d0bdca47083f3a86a19/68747470733a2f2f69302e77702e636f6d2f7374617469737469637362796a696d2e636f6d2f77702d636f6e74656e742f75706c6f6164732f323031382f30332f696e7465727175617274696c655f72616e67652e706e673f773d3537362673736c3d31\n", + "\n", + "When measuring variability, statisticians prefer using the interquartile range instead of the full data range because extreme values and outliers affect it less. Typically, use the IQR with a measure of central tendency, such as the median, to understand your data’s center and spread. This combination creates a fuller picture of your data’s distribution.\n", + "\n", + "Therefore it is being utilized to get rid of all the outliers that may come from errors when creating the data or from unexpected years." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Firstly, we compute the first quartile (Q1=25%) and the third quartile (Q3=75%). For that, we have grouped the data by country code and indicator name, so we get the Q1 and Q3 values for each indicator in each geographical area. " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "grouped=BronzeDataFrame.groupby(['Country Code','Indicator Name'])\n", + "grouped" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateValue
Country CodeIndicator Name
AREAccess to clean fuels and technologies for cooking (% of population)10.00.00
Access to clean fuels and technologies for cooking, rural (% of rural population)10.00.00
Access to clean fuels and technologies for cooking, urban (% of urban population)10.00.00
Access to electricity (% of population)15.00.00
Access to electricity, rural (% of rural population)15.00.00
............
ZAFWomen who believe a husband is justified in beating his wife when she refuses sex with him (%)0.00.00
Women who were first married by age 15 (% of women ages 20-24)9.00.15
Women who were first married by age 18 (% of women ages 20-24)9.02.15
Women's share of population ages 15+ living with HIV (%)15.04.90
Young people (ages 15-24) newly infected with HIV15.085000.00
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" + ], + "text/plain": [ + " Date \\\n", + "Country Code Indicator Name \n", + "ARE Access to clean fuels and technologies for cook... 10.0 \n", + " Access to clean fuels and technologies for cook... 10.0 \n", + " Access to clean fuels and technologies for cook... 10.0 \n", + " Access to electricity (% of population) 15.0 \n", + " Access to electricity, rural (% of rural popula... 15.0 \n", + "... ... \n", + "ZAF Women who believe a husband is justified in bea... 0.0 \n", + " Women who were first married by age 15 (% of wo... 9.0 \n", + " Women who were first married by age 18 (% of wo... 9.0 \n", + " Women's share of population ages 15+ living wit... 15.0 \n", + " Young people (ages 15-24) newly infected with HIV 15.0 \n", + "\n", + " Value \n", + "Country Code Indicator Name \n", + "ARE Access to clean fuels and technologies for cook... 0.00 \n", + " Access to clean fuels and technologies for cook... 0.00 \n", + " Access to clean fuels and technologies for cook... 0.00 \n", + " Access to electricity (% of population) 0.00 \n", + " Access to electricity, rural (% of rural popula... 0.00 \n", + "... ... \n", + "ZAF Women who believe a husband is justified in bea... 0.00 \n", + " Women who were first married by age 15 (% of wo... 0.15 \n", + " Women who were first married by age 18 (% of wo... 2.15 \n", + " Women's share of population ages 15+ living wit... 4.90 \n", + " Young people (ages 15-24) newly infected with HIV 85000.00 \n", + "\n", + "[59239 rows x 2 columns]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Q1=BronzeDataFrame.groupby(['Country Code','Indicator Name']).quantile(0.25)\n", + "Q3=BronzeDataFrame.groupby(['Country Code','Indicator Name']).quantile(0.75)\n", + "IQR=Q3-Q1\n", + "IQR" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Once we got the quartiles, we compute the upper and lower limit, with a basic mathematical expression." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Lower limit
Country CodeIndicator Name
AREAccess to clean fuels and technologies for cooking (% of population)100.000
Access to clean fuels and technologies for cooking, rural (% of rural population)100.000
Access to clean fuels and technologies for cooking, urban (% of urban population)100.000
Access to electricity (% of population)100.000
Access to electricity, rural (% of rural population)100.000
.........
ZAFWomen who believe a husband is justified in beating his wife when she refuses sex with him (%)1.000
Women who were first married by age 15 (% of women ages 20-24)0.625
Women who were first married by age 18 (% of women ages 20-24)1.375
Women's share of population ages 15+ living with HIV (%)49.850
Young people (ages 15-24) newly infected with HIV-22500.000
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" + ], + "text/plain": [ + " Lower limit\n", + "Country Code Indicator Name \n", + "ARE Access to clean fuels and technologies for cook... 100.000\n", + " Access to clean fuels and technologies for cook... 100.000\n", + " Access to clean fuels and technologies for cook... 100.000\n", + " Access to electricity (% of population) 100.000\n", + " Access to electricity, rural (% of rural popula... 100.000\n", + "... ...\n", + "ZAF Women who believe a husband is justified in bea... 1.000\n", + " Women who were first married by age 15 (% of wo... 0.625\n", + " Women who were first married by age 18 (% of wo... 1.375\n", + " Women's share of population ages 15+ living wit... 49.850\n", + " Young people (ages 15-24) newly infected with HIV -22500.000\n", + "\n", + "[59239 rows x 1 columns]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lower_limit=Q1 - 1.5 * IQR\n", + "lower=lower_limit.drop(['Date'],axis=1)\n", + "lower.rename(columns={\"Value\":\"Lower limit\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Upper limit
Country CodeIndicator Name
AREAccess to clean fuels and technologies for cooking (% of population)100.000
Access to clean fuels and technologies for cooking, rural (% of rural population)100.000
Access to clean fuels and technologies for cooking, urban (% of urban population)100.000
Access to electricity (% of population)100.000
Access to electricity, rural (% of rural population)100.000
.........
ZAFWomen who believe a husband is justified in beating his wife when she refuses sex with him (%)1.000
Women who were first married by age 15 (% of women ages 20-24)1.225
Women who were first married by age 18 (% of women ages 20-24)9.975
Women's share of population ages 15+ living with HIV (%)69.450
Young people (ages 15-24) newly infected with HIV317500.000
\n", + "

59239 rows × 1 columns

\n", + "
" + ], + "text/plain": [ + " Upper limit\n", + "Country Code Indicator Name \n", + "ARE Access to clean fuels and technologies for cook... 100.000\n", + " Access to clean fuels and technologies for cook... 100.000\n", + " Access to clean fuels and technologies for cook... 100.000\n", + " Access to electricity (% of population) 100.000\n", + " Access to electricity, rural (% of rural popula... 100.000\n", + "... ...\n", + "ZAF Women who believe a husband is justified in bea... 1.000\n", + " Women who were first married by age 15 (% of wo... 1.225\n", + " Women who were first married by age 18 (% of wo... 9.975\n", + " Women's share of population ages 15+ living wit... 69.450\n", + " Young people (ages 15-24) newly infected with HIV 317500.000\n", + "\n", + "[59239 rows x 1 columns]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "upper_limit=Q3 + 1.5 * IQR\n", + "upper=upper_limit.drop(['Date'],axis=1)\n", + "upper.rename(columns={\"Value\":\"Upper limit\"})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Thirdly, we join the three tables we have (main dataframe, upper limit and lower limit) by matching country code and indicator name.." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Country CodeIndicator NameDateValue_xValue_yValue
0DZAAccess to clean fuels and technologies for coo...200097.197.0101.0
1DZAAccess to clean fuels and technologies for coo...200197.397.0101.0
2DZAAccess to clean fuels and technologies for coo...200297.897.0101.0
3DZAAccess to clean fuels and technologies for coo...200398.097.0101.0
4DZAAccess to clean fuels and technologies for coo...200498.297.0101.0
.....................
1225413YEMYoung people (ages 15-24) newly infected with HIV2016200.0-50.0350.0
1225414YEMYoung people (ages 15-24) newly infected with HIV2017200.0-50.0350.0
1225415YEMYoung people (ages 15-24) newly infected with HIV2018200.0-50.0350.0
1225416YEMYoung people (ages 15-24) newly infected with HIV2019200.0-50.0350.0
1225417YEMYoung people (ages 15-24) newly infected with HIV2020200.0-50.0350.0
\n", + "

1225418 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " Country Code Indicator Name Date \\\n", + "0 DZA Access to clean fuels and technologies for coo... 2000 \n", + "1 DZA Access to clean fuels and technologies for coo... 2001 \n", + "2 DZA Access to clean fuels and technologies for coo... 2002 \n", + "3 DZA Access to clean fuels and technologies for coo... 2003 \n", + "4 DZA Access to clean fuels and technologies for coo... 2004 \n", + "... ... ... ... \n", + "1225413 YEM Young people (ages 15-24) newly infected with HIV 2016 \n", + "1225414 YEM Young people (ages 15-24) newly infected with HIV 2017 \n", + "1225415 YEM Young people (ages 15-24) newly infected with HIV 2018 \n", + "1225416 YEM Young people (ages 15-24) newly infected with HIV 2019 \n", + "1225417 YEM Young people (ages 15-24) newly infected with HIV 2020 \n", + "\n", + " Value_x Value_y Value \n", + "0 97.1 97.0 101.0 \n", + "1 97.3 97.0 101.0 \n", + "2 97.8 97.0 101.0 \n", + "3 98.0 97.0 101.0 \n", + "4 98.2 97.0 101.0 \n", + "... ... ... ... \n", + "1225413 200.0 -50.0 350.0 \n", + "1225414 200.0 -50.0 350.0 \n", + "1225415 200.0 -50.0 350.0 \n", + "1225416 200.0 -50.0 350.0 \n", + "1225417 200.0 -50.0 350.0 \n", + "\n", + "[1225418 rows x 6 columns]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dfs = [BronzeDataFrame,lower,upper]\n", + "df_joined = ft.reduce(lambda left, right: pd.merge(left, right, on=['Country Code','Indicator Name']), dfs)\n", + "df_joined" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Country Code', 'Indicator Name', 'Date', 'Value_x', 'Value_y', 'Value']" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list(df_joined)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We rename the columns of the new table, as the columns headers are not saved after the joining. " + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryIndicatorYearReal valueLower valueUpper value
0DZAAccess to clean fuels and technologies for coo...200097.197.0101.0
1DZAAccess to clean fuels and technologies for coo...200197.397.0101.0
2DZAAccess to clean fuels and technologies for coo...200297.897.0101.0
3DZAAccess to clean fuels and technologies for coo...200398.097.0101.0
4DZAAccess to clean fuels and technologies for coo...200498.297.0101.0
.....................
1225413YEMYoung people (ages 15-24) newly infected with HIV2016200.0-50.0350.0
1225414YEMYoung people (ages 15-24) newly infected with HIV2017200.0-50.0350.0
1225415YEMYoung people (ages 15-24) newly infected with HIV2018200.0-50.0350.0
1225416YEMYoung people (ages 15-24) newly infected with HIV2019200.0-50.0350.0
1225417YEMYoung people (ages 15-24) newly infected with HIV2020200.0-50.0350.0
\n", + "

1225418 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " Country Indicator Year \\\n", + "0 DZA Access to clean fuels and technologies for coo... 2000 \n", + "1 DZA Access to clean fuels and technologies for coo... 2001 \n", + "2 DZA Access to clean fuels and technologies for coo... 2002 \n", + "3 DZA Access to clean fuels and technologies for coo... 2003 \n", + "4 DZA Access to clean fuels and technologies for coo... 2004 \n", + "... ... ... ... \n", + "1225413 YEM Young people (ages 15-24) newly infected with HIV 2016 \n", + "1225414 YEM Young people (ages 15-24) newly infected with HIV 2017 \n", + "1225415 YEM Young people (ages 15-24) newly infected with HIV 2018 \n", + "1225416 YEM Young people (ages 15-24) newly infected with HIV 2019 \n", + "1225417 YEM Young people (ages 15-24) newly infected with HIV 2020 \n", + "\n", + " Real value Lower value Upper value \n", + "0 97.1 97.0 101.0 \n", + "1 97.3 97.0 101.0 \n", + "2 97.8 97.0 101.0 \n", + "3 98.0 97.0 101.0 \n", + "4 98.2 97.0 101.0 \n", + "... ... ... ... \n", + "1225413 200.0 -50.0 350.0 \n", + "1225414 200.0 -50.0 350.0 \n", + "1225415 200.0 -50.0 350.0 \n", + "1225416 200.0 -50.0 350.0 \n", + "1225417 200.0 -50.0 350.0 \n", + "\n", + "[1225418 rows x 6 columns]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "renamed=df_joined.set_axis(['Country','Indicator','Year', 'Real value', 'Lower value', 'Upper value'], axis=1, inplace=False)\n", + "renamed" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we have the table correctly defined, we remove from our dataframe the values that are outside our range, as it means that they are outliers." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryIndicatorYearReal valueLower valueUpper value
0DZAAccess to clean fuels and technologies for coo...200097.197.0101.0
1DZAAccess to clean fuels and technologies for coo...200197.397.0101.0
2DZAAccess to clean fuels and technologies for coo...200297.897.0101.0
3DZAAccess to clean fuels and technologies for coo...200398.097.0101.0
4DZAAccess to clean fuels and technologies for coo...200498.297.0101.0
.....................
1225413YEMYoung people (ages 15-24) newly infected with HIV2016200.0-50.0350.0
1225414YEMYoung people (ages 15-24) newly infected with HIV2017200.0-50.0350.0
1225415YEMYoung people (ages 15-24) newly infected with HIV2018200.0-50.0350.0
1225416YEMYoung people (ages 15-24) newly infected with HIV2019200.0-50.0350.0
1225417YEMYoung people (ages 15-24) newly infected with HIV2020200.0-50.0350.0
\n", + "

1189068 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " Country Indicator Year \\\n", + "0 DZA Access to clean fuels and technologies for coo... 2000 \n", + "1 DZA Access to clean fuels and technologies for coo... 2001 \n", + "2 DZA Access to clean fuels and technologies for coo... 2002 \n", + "3 DZA Access to clean fuels and technologies for coo... 2003 \n", + "4 DZA Access to clean fuels and technologies for coo... 2004 \n", + "... ... ... ... \n", + "1225413 YEM Young people (ages 15-24) newly infected with HIV 2016 \n", + "1225414 YEM Young people (ages 15-24) newly infected with HIV 2017 \n", + "1225415 YEM Young people (ages 15-24) newly infected with HIV 2018 \n", + "1225416 YEM Young people (ages 15-24) newly infected with HIV 2019 \n", + "1225417 YEM Young people (ages 15-24) newly infected with HIV 2020 \n", + "\n", + " Real value Lower value Upper value \n", + "0 97.1 97.0 101.0 \n", + "1 97.3 97.0 101.0 \n", + "2 97.8 97.0 101.0 \n", + "3 98.0 97.0 101.0 \n", + "4 98.2 97.0 101.0 \n", + "... ... ... ... \n", + "1225413 200.0 -50.0 350.0 \n", + "1225414 200.0 -50.0 350.0 \n", + "1225415 200.0 -50.0 350.0 \n", + "1225416 200.0 -50.0 350.0 \n", + "1225417 200.0 -50.0 350.0 \n", + "\n", + "[1189068 rows x 6 columns]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sin_outliers=renamed.loc[~((renamed['Real value']renamed['Upper value']))]\n", + "sin_outliers" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "From the data above, we can perceive that our data comes down from 1225418 rows to 1189068, so 36.350 were outliers. The next steps are to order and display data better, removing those columns that we just do not need and pivoting the rows and columns. " + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryIndicatorYearReal value
0DZAAccess to clean fuels and technologies for coo...200097.1
1DZAAccess to clean fuels and technologies for coo...200197.3
2DZAAccess to clean fuels and technologies for coo...200297.8
3DZAAccess to clean fuels and technologies for coo...200398.0
4DZAAccess to clean fuels and technologies for coo...200498.2
...............
1225413YEMYoung people (ages 15-24) newly infected with HIV2016200.0
1225414YEMYoung people (ages 15-24) newly infected with HIV2017200.0
1225415YEMYoung people (ages 15-24) newly infected with HIV2018200.0
1225416YEMYoung people (ages 15-24) newly infected with HIV2019200.0
1225417YEMYoung people (ages 15-24) newly infected with HIV2020200.0
\n", + "

1189068 rows × 4 columns

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" + ], + "text/plain": [ + " Country Indicator Year \\\n", + "0 DZA Access to clean fuels and technologies for coo... 2000 \n", + "1 DZA Access to clean fuels and technologies for coo... 2001 \n", + "2 DZA Access to clean fuels and technologies for coo... 2002 \n", + "3 DZA Access to clean fuels and technologies for coo... 2003 \n", + "4 DZA Access to clean fuels and technologies for coo... 2004 \n", + "... ... ... ... \n", + "1225413 YEM Young people (ages 15-24) newly infected with HIV 2016 \n", + "1225414 YEM Young people (ages 15-24) newly infected with HIV 2017 \n", + "1225415 YEM Young people (ages 15-24) newly infected with HIV 2018 \n", + "1225416 YEM Young people (ages 15-24) newly infected with HIV 2019 \n", + "1225417 YEM Young people (ages 15-24) newly infected with HIV 2020 \n", + "\n", + " Real value \n", + "0 97.1 \n", + "1 97.3 \n", + "2 97.8 \n", + "3 98.0 \n", + "4 98.2 \n", + "... ... \n", + "1225413 200.0 \n", + "1225414 200.0 \n", + "1225415 200.0 \n", + "1225416 200.0 \n", + "1225417 200.0 \n", + "\n", + "[1189068 rows x 4 columns]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_limpio=sin_outliers.drop(['Lower value','Upper value'],axis=1)\n", + "df_limpio" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "cols=df_limpio['Indicator'].unique().tolist()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorCountryYearARI treatment (% of children under 5 taken to a health provider)Access to clean fuels and technologies for cooking (% of population)Access to clean fuels and technologies for cooking, rural (% of rural population)Access to clean fuels and technologies for cooking, urban (% of urban population)Access to electricity (% of population)Access to electricity, rural (% of rural population)Access to electricity, urban (% of urban population)Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)...Women who believe a husband is justified in beating his wife (any of five reasons) (%)Women who believe a husband is justified in beating his wife when she argues with him (%)Women who believe a husband is justified in beating his wife when she burns the food (%)Women who believe a husband is justified in beating his wife when she goes out without telling him (%)Women who believe a husband is justified in beating his wife when she neglects the children (%)Women who believe a husband is justified in beating his wife when she refuses sex with him (%)Women who were first married by age 15 (% of women ages 20-24)Women who were first married by age 18 (% of women ages 20-24)Women's share of population ages 15+ living with HIV (%)Young people (ages 15-24) newly infected with HIV
0ARE1990NaNNaNNaNNaN100.000000100.000000100.000000NaN...NaNNaNNaNNaNNaNNaNNaNNaN18.8100.0
1ARE1991NaNNaNNaNNaN100.000000100.000000100.000000NaN...NaNNaNNaNNaNNaNNaNNaNNaN18.2100.0
2ARE1992NaNNaNNaNNaN100.000000100.000000100.000000NaN...NaNNaNNaNNaNNaNNaNNaNNaN19.4100.0
3ARE1993NaNNaNNaNNaN100.000000100.000000100.000000NaN...NaNNaNNaNNaNNaNNaNNaNNaN20.0100.0
4ARE1994NaNNaNNaNNaN100.000000100.000000100.000000NaN...NaNNaNNaNNaNNaNNaNNaNNaN20.0100.0
..................................................................
1531ZAF2017NaN85.264.694.2084.40000276.73898388.37302469.218491...NaNNaNNaNNaNNaNNaNNaNNaN63.3100000.0
1532ZAF2018NaN85.765.594.6584.69999777.16849588.518814NaN...NaNNaNNaNNaNNaNNaNNaNNaN63.792000.0
1533ZAF2019NaN86.365.594.9085.00000077.61182488.662704NaN...NaNNaNNaNNaNNaNNaNNaNNaN64.185000.0
1534ZAF2020NaN86.865.995.2084.38553675.26485488.806267NaN...NaNNaNNaNNaNNaNNaNNaNNaN64.479000.0
1535ZAF2021NaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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1536 rows × 1438 columns

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" + ], + "text/plain": [ + "Indicator Country Year \\\n", + "0 ARE 1990 \n", + "1 ARE 1991 \n", + "2 ARE 1992 \n", + "3 ARE 1993 \n", + "4 ARE 1994 \n", + "... ... ... \n", + "1531 ZAF 2017 \n", + "1532 ZAF 2018 \n", + "1533 ZAF 2019 \n", + "1534 ZAF 2020 \n", + "1535 ZAF 2021 \n", + "\n", + "Indicator ARI treatment (% of children under 5 taken to a health provider) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 85.2 \n", + "1532 85.7 \n", + "1533 86.3 \n", + "1534 86.8 \n", + "1535 NaN \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 64.6 \n", + "1532 65.5 \n", + "1533 65.5 \n", + "1534 65.9 \n", + "1535 NaN \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 94.20 \n", + "1532 94.65 \n", + "1533 94.90 \n", + "1534 95.20 \n", + "1535 NaN \n", + "\n", + "Indicator Access to electricity (% of population) \\\n", + "0 100.000000 \n", + "1 100.000000 \n", + "2 100.000000 \n", + "3 100.000000 \n", + "4 100.000000 \n", + "... ... \n", + "1531 84.400002 \n", + "1532 84.699997 \n", + "1533 85.000000 \n", + "1534 84.385536 \n", + "1535 NaN \n", + "\n", + "Indicator Access to electricity, rural (% of rural population) \\\n", + "0 100.000000 \n", + "1 100.000000 \n", + "2 100.000000 \n", + "3 100.000000 \n", + "4 100.000000 \n", + "... ... \n", + "1531 76.738983 \n", + "1532 77.168495 \n", + "1533 77.611824 \n", + "1534 75.264854 \n", + "1535 NaN \n", + "\n", + "Indicator Access to electricity, urban (% of urban population) \\\n", + "0 100.000000 \n", + "1 100.000000 \n", + "2 100.000000 \n", + "3 100.000000 \n", + "4 100.000000 \n", + "... ... \n", + "1531 88.373024 \n", + "1532 88.518814 \n", + "1533 88.662704 \n", + "1534 88.806267 \n", + "1535 NaN \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 69.218491 \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator ... \\\n", + "0 ... \n", + "1 ... \n", + "2 ... \n", + "3 ... \n", + "4 ... \n", + "... ... \n", + "1531 ... \n", + "1532 ... \n", + "1533 ... \n", + "1534 ... \n", + "1535 ... \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife (any of five reasons) (%) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she argues with him (%) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she burns the food (%) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she goes out without telling him (%) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she neglects the children (%) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she refuses sex with him (%) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women who were first married by age 15 (% of women ages 20-24) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women who were first married by age 18 (% of women ages 20-24) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1531 NaN \n", + "1532 NaN \n", + "1533 NaN \n", + "1534 NaN \n", + "1535 NaN \n", + "\n", + "Indicator Women's share of population ages 15+ living with HIV (%) \\\n", + "0 18.8 \n", + "1 18.2 \n", + "2 19.4 \n", + "3 20.0 \n", + "4 20.0 \n", + "... ... \n", + "1531 63.3 \n", + "1532 63.7 \n", + "1533 64.1 \n", + "1534 64.4 \n", + "1535 NaN \n", + "\n", + "Indicator Young people (ages 15-24) newly infected with HIV \n", + "0 100.0 \n", + "1 100.0 \n", + "2 100.0 \n", + "3 100.0 \n", + "4 100.0 \n", + "... ... \n", + "1531 100000.0 \n", + "1532 92000.0 \n", + "1533 85000.0 \n", + "1534 79000.0 \n", + "1535 NaN \n", + "\n", + "[1536 rows x 1438 columns]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "SilverDataFrame=df_limpio.set_index([\"Country\", \"Year\"]).pivot(columns=\"Indicator\", values=\"Real value\").reset_index()\n", + "SilverDataFrame" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On the other hand, another big stone of normalizations is to nan/null values, which we have in all variables." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1016628" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "SilverDataFrame.isna().sum().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As we can observe, we have lots of missing data, and as there is no optimal way to fullfill these values, thus, we will test some to arrive to the optimal method for our data set." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we need to create some lists so our loops work." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "df=SilverDataFrame\n", + "europe_list=['DEU','FRA','SWE','GBR','ESP','HRV','POL','GRC','AUT','NLD']\n", + "persian_list=['IRQ','QAT','ARE','SAU','AZE','YEM','OMN']\n", + "naf_list=['DZA','EGY','LBY','ISR','TUR','MAR']\n", + "saf_list=['SEN','ZAF','LBR','MOZ','CMR','NGA','GHA']\n", + "asia_list=['BGD','IND','VNM','THA','IDN','PHL','KOR']\n", + "latam_list=['MEX','BRA','ARG','PER','VEN','COL','CHL','PAN','CRI']\n", + "two_list=['USA','CHN']\n", + "country_list=europe_list+persian_list+naf_list+saf_list+asia_list+latam_list+two_list\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We are attempting the linear interpolation, which is achieved by geometrically rendering a straight line between two adjacent points on a graph or plane." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "685787" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", + "datc=dat.interpolate(method=\"linear\")\n", + "data=datc\n", + "\n", + "for i in range(1,len(country_list)):\n", + " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", + " datc=dat.interpolate(method=\"linear\")\n", + " data=pd.concat((data, datc), axis = 0)\n", + "data.isna().sum().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here we attempt the backward filling, filling the previous cell with future values." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "498648" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", + "datc=dat.fillna(method='bfill')\n", + "data=datc\n", + "\n", + "for i in range(1,len(country_list)):\n", + " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", + " datc=dat.fillna(method='bfill')\n", + " data=pd.concat((data, datc), axis = 0)\n", + "data.isna().sum().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here we will attempt the forward filling, which concists of filling the next cell with previous values." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "685787" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", + "datc=dat.fillna(method='ffill')\n", + "data=datc\n", + "\n", + "for i in range(1,len(country_list)):\n", + " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", + " datc=dat.fillna(method='ffill')\n", + " data=pd.concat((data, datc), axis = 0)\n", + "data.isna().sum().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The linear interpolation a form of interpolation, which involves the generation of new values based on an existing set of values. Linear interpolation is achieved by geometrically rendering a straight line between two adjacent points on a graph or plane. Whereas the backwards filling, will help us to arrive to those values which have not been fullfilled with the linear interpolation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And as none of the methods have worked out correctly, independently, we are going to mix them, to achieve a better result." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "685787" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", + "datc=dat.interpolate(method=\"linear\")\n", + "datc=datc.fillna(method='ffill')\n", + "data=datc\n", + "\n", + "for i in range(1,len(country_list)):\n", + " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", + " datc=dat.interpolate(method=\"linear\")\n", + " datc=datc.fillna(method='ffill')\n", + " data=pd.concat((data, datc), axis = 0)\n", + "data.isna().sum().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "310048" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", + "datc=dat.interpolate(method=\"linear\")\n", + "datc=datc.fillna(method='bfill')\n", + "data=datc\n", + "\n", + "for i in range(1,len(country_list)):\n", + " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", + " datc=dat.interpolate(method=\"linear\")\n", + " datc=datc.fillna(method='bfill')\n", + " data=pd.concat((data, datc), axis = 0)\n", + "data.isna().sum().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And finally, mixing the three methods all together." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "310048" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", + "datc=dat.interpolate(method=\"linear\")\n", + "datf=datc.fillna(method='bfill')\n", + "datr=datf.fillna(method='ffill')\n", + "data=datr\n", + "\n", + "for i in range(1,len(country_list)):\n", + " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", + " datc=dat.interpolate(method=\"linear\")\n", + " datc=datc.fillna(method='bfill')\n", + " datc=datc.fillna(method='ffill')\n", + " data=pd.concat((data, datc), axis = 0)\n", + "data.isna().sum().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Conclusion" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Therefore, the preferred method for the Nan values´ treatment that we are going to develop is a mix, between the linear interpolation and backwards filling." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorCountryYearARI treatment (% of children under 5 taken to a health provider)Access to clean fuels and technologies for cooking (% of population)Access to clean fuels and technologies for cooking, rural (% of rural population)Access to clean fuels and technologies for cooking, urban (% of urban population)Access to electricity (% of population)Access to electricity, rural (% of rural population)Access to electricity, urban (% of urban population)Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)...Women who believe a husband is justified in beating his wife (any of five reasons) (%)Women who believe a husband is justified in beating his wife when she argues with him (%)Women who believe a husband is justified in beating his wife when she burns the food (%)Women who believe a husband is justified in beating his wife when she goes out without telling him (%)Women who believe a husband is justified in beating his wife when she neglects the children (%)Women who believe a husband is justified in beating his wife when she refuses sex with him (%)Women who were first married by age 15 (% of women ages 20-24)Women who were first married by age 18 (% of women ages 20-24)Women's share of population ages 15+ living with HIV (%)Young people (ages 15-24) newly infected with HIV
352DEU1990NaN100.0100.0100.0100.0100.0100.098.133621...NaNNaNNaNNaNNaNNaNNaNNaN19.1500.0
353DEU1991NaN100.0100.0100.0100.0100.0100.098.133621...NaNNaNNaNNaNNaNNaNNaNNaN19.1500.0
354DEU1992NaN100.0100.0100.0100.0100.0100.098.133621...NaNNaNNaNNaNNaNNaNNaNNaN19.1500.0
355DEU1993NaN100.0100.0100.0100.0100.0100.098.133621...NaNNaNNaNNaNNaNNaNNaNNaN19.1500.0
356DEU1994NaN100.0100.0100.0100.0100.0100.098.133621...NaNNaNNaNNaNNaNNaNNaNNaN19.1500.0
..................................................................
251CHN2017NaN73.255.286.2100.0100.0100.080.229118...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
252CHN2018NaN75.659.087.4100.0100.0100.080.229118...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
253CHN2019NaN77.661.988.4100.0100.0100.080.229118...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
254CHN2020NaN79.465.289.4100.0100.0100.080.229118...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
255CHN2021NaN79.465.289.4100.0100.0100.080.229118...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
\n", + "

1536 rows × 1438 columns

\n", + "
" + ], + "text/plain": [ + "Indicator Country Year \\\n", + "352 DEU 1990 \n", + "353 DEU 1991 \n", + "354 DEU 1992 \n", + "355 DEU 1993 \n", + "356 DEU 1994 \n", + ".. ... ... \n", + "251 CHN 2017 \n", + "252 CHN 2018 \n", + "253 CHN 2019 \n", + "254 CHN 2020 \n", + "255 CHN 2021 \n", + "\n", + "Indicator ARI treatment (% of children under 5 taken to a health provider) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 73.2 \n", + "252 75.6 \n", + "253 77.6 \n", + "254 79.4 \n", + "255 79.4 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 55.2 \n", + "252 59.0 \n", + "253 61.9 \n", + "254 65.2 \n", + "255 65.2 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 86.2 \n", + "252 87.4 \n", + "253 88.4 \n", + "254 89.4 \n", + "255 89.4 \n", + "\n", + "Indicator Access to electricity (% of population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 100.0 \n", + "252 100.0 \n", + "253 100.0 \n", + "254 100.0 \n", + "255 100.0 \n", + "\n", + "Indicator Access to electricity, rural (% of rural population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 100.0 \n", + "252 100.0 \n", + "253 100.0 \n", + "254 100.0 \n", + "255 100.0 \n", + "\n", + "Indicator Access to electricity, urban (% of urban population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 100.0 \n", + "252 100.0 \n", + "253 100.0 \n", + "254 100.0 \n", + "255 100.0 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "352 98.133621 \n", + "353 98.133621 \n", + "354 98.133621 \n", + "355 98.133621 \n", + "356 98.133621 \n", + ".. ... \n", + "251 80.229118 \n", + "252 80.229118 \n", + "253 80.229118 \n", + "254 80.229118 \n", + "255 80.229118 \n", + "\n", + "Indicator ... \\\n", + "352 ... \n", + "353 ... \n", + "354 ... \n", + "355 ... \n", + "356 ... \n", + ".. ... \n", + "251 ... \n", + "252 ... \n", + "253 ... \n", + "254 ... \n", + "255 ... \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife (any of five reasons) (%) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she argues with him (%) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she burns the food (%) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she goes out without telling him (%) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she neglects the children (%) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women who believe a husband is justified in beating his wife when she refuses sex with him (%) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women who were first married by age 15 (% of women ages 20-24) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women who were first married by age 18 (% of women ages 20-24) \\\n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Women's share of population ages 15+ living with HIV (%) \\\n", + "352 19.1 \n", + "353 19.1 \n", + "354 19.1 \n", + "355 19.1 \n", + "356 19.1 \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "Indicator Young people (ages 15-24) newly infected with HIV \n", + "352 500.0 \n", + "353 500.0 \n", + "354 500.0 \n", + "355 500.0 \n", + "356 500.0 \n", + ".. ... \n", + "251 NaN \n", + "252 NaN \n", + "253 NaN \n", + "254 NaN \n", + "255 NaN \n", + "\n", + "[1536 rows x 1438 columns]" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", + "datc=dat.interpolate(method=\"linear\")\n", + "datf=datc.fillna(method='bfill')\n", + "datr=datf.fillna(method='ffill')\n", + "data=datr\n", + "\n", + "for i in range(1,len(country_list)):\n", + " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", + " datc=dat.interpolate(method=\"linear\")\n", + " datc=datc.fillna(method='bfill')\n", + " datc=datc.fillna(method='ffill')\n", + " data=pd.concat((data, datc), axis = 0)\n", + "data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we will drop the columns which have over X% missing values because the absence of data creates an unreliable source. This % can be adjusted in the following slider. We have predetermined that 20% is a great starting point." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3dda106d850e463580b809ff362ca4f3", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.2, continuous_update=False, description='% that creates unreliable source:', max=1.0, read…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "Slider1=widgets.FloatSlider(\n", + " value=0.2,\n", + " min=0,\n", + " max=1.0,\n", + " step=0.05,\n", + " description='% that creates unreliable source:',\n", + " disabled=False,\n", + " continuous_update=False,\n", + " orientation='horizontal',\n", + " readout=True,\n", + " readout_format='.1f',\n", + ")\n", + "Slider1" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Adults (ages 15+) and children (ages 0-14) newly infected with HIV\n", + "Adults (ages 15-49) newly infected with HIV\n", + "Antiretroviral therapy coverage (% of people living with HIV)\n", + "Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV)\n", + "ARI treatment (% of children under 5 taken to a health provider)\n", + "Average transaction cost of sending remittances to a specific country (%)\n", + "Average working hours of children, study and work, ages 7-14 (hours per week)\n", + "Average working hours of children, study and work, female, ages 7-14 (hours per week)\n", + "Average working hours of children, study and work, male, ages 7-14 (hours per week)\n", + "Average working hours of children, working only, ages 7-14 (hours per week)\n", + "Average working hours of children, working only, female, ages 7-14 (hours per week)\n", + "Average working hours of children, working only, male, ages 7-14 (hours per week)\n", + "Bank capital to assets ratio (%)\n", + "Bank liquid reserves to bank assets ratio (%)\n", + "Bank nonperforming loans to total gross loans (%)\n", + "Battle-related deaths (number of people)\n", + "Borrowers from commercial banks (per 1,000 adults)\n", + "Bribery incidence (% of firms experiencing at least one bribe payment request)\n", + "Changes in inventories (constant LCU)\n", + "Children (0-14) living with HIV\n", + "Children (ages 0-14) newly infected with HIV\n", + "Children in employment, female (% of female children ages 7-14)\n", + "Children in employment, male (% of male children ages 7-14)\n", + "Children in employment, study and work (% of children in employment, ages 7-14)\n", + "Children in employment, study and work, female (% of female children in employment, ages 7-14)\n", + "Children in employment, study and work, male (% of male children in employment, ages 7-14)\n", + "Children in employment, total (% of children ages 7-14)\n", + "Children in employment, unpaid family workers (% of children in employment, ages 7-14)\n", + "Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14)\n", + "Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14)\n", + "Children in employment, wage workers (% of children in employment, ages 7-14)\n", + "Children in employment, wage workers, female (% of female children in employment, ages 7-14)\n", + "Children in employment, wage workers, male (% of male children in employment, ages 7-14)\n", + "Children in employment, work only (% of children in employment, ages 7-14)\n", + "Children in employment, work only, female (% of female children in employment, ages 7-14)\n", + "Children in employment, work only, male (% of male children in employment, ages 7-14)\n", + "Claims on other sectors of the domestic economy (annual growth as % of broad money)\n", + "Commercial banks and other lending (PPG + PNG) (NFL, current US$)\n", + "Completeness of birth registration, rural (%)\n", + "Completeness of birth registration, urban (%)\n", + "Consumption of iodized salt (% of households)\n", + "Debt service (PPG and IMF only, % of exports of goods, services and primary income)\n", + "Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$)\n", + "Debt service on external debt, total (TDS, current US$)\n", + "Demand for family planning satisfied by modern methods (% of married women with demand for family planning)\n", + "Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding)\n", + "Diarrhea treatment (% of children under 5 who received ORS packet)\n", + "Disaster risk reduction progress score (1-5 scale; 5=best)\n", + "Exclusive breastfeeding (% of children under 6 months)\n", + "External debt stocks (% of GNI)\n", + "External debt stocks, long-term (DOD, current US$)\n", + "External debt stocks, private nonguaranteed (PNG) (DOD, current US$)\n", + "External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$)\n", + "External debt stocks, short-term (DOD, current US$)\n", + "External debt stocks, total (DOD, current US$)\n", + "Financial intermediary services indirectly Measured (FISIM) (constant LCU)\n", + "Financial intermediary services indirectly Measured (FISIM) (current LCU)\n", + "Firms competing against unregistered firms (% of firms)\n", + "Firms formally registered when operations started (% of firms)\n", + "Firms that do not report all sales for tax purposes (% of firms)\n", + "Gross fixed capital formation, private sector (% of GDP)\n", + "Gross fixed capital formation, private sector (current LCU)\n", + "IBRD loans and IDA credits (DOD, current US$)\n", + "IFC, private nonguaranteed (NFL, current US$)\n", + "IMF repurchases and charges (TDS, current US$)\n", + "Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24)\n", + "Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49)\n", + "Incidence of HIV, all (per 1,000 uninfected population)\n", + "Incidence of malaria (per 1,000 population at risk)\n", + "Informal payments to public officials (% of firms)\n", + "Intentional homicides, female (per 100,000 female)\n", + "Intentional homicides, male (per 100,000 male)\n", + "Interest rate spread (lending rate minus deposit rate, %)\n", + "Internally displaced persons, new displacement associated with conflict and violence (number of cases)\n", + "Internally displaced persons, total displaced by conflict and violence (number of people)\n", + "International tourism, number of departures\n", + "Investment in energy with private participation (current US$)\n", + "Investment in ICT with private participation (current US$)\n", + "Investment in transport with private participation (current US$)\n", + "Investment in water and sanitation with private participation (current US$)\n", + "Lending interest rate (%)\n", + "Merchandise exports to low- and middle-income economies within region (% of total merchandise exports)\n", + "Merchandise imports from low- and middle-income economies within region (% of total merchandise imports)\n", + "Methodology assessment of statistical capacity (scale 0 - 100)\n", + "Multilateral debt service (% of public and publicly guaranteed debt service)\n", + "Multilateral debt service (TDS, current US$)\n", + "Net bilateral aid flows from DAC donors, Australia (current US$)\n", + "Net bilateral aid flows from DAC donors, Belgium (current US$)\n", + "Net bilateral aid flows from DAC donors, Canada (current US$)\n", + "Net bilateral aid flows from DAC donors, Czech Republic (current US$)\n", + "Net bilateral aid flows from DAC donors, Denmark (current US$)\n", + "Net bilateral aid flows from DAC donors, Finland (current US$)\n", + "Net bilateral aid flows from DAC donors, Greece (current US$)\n", + "Net bilateral aid flows from DAC donors, Hungary (current US$)\n", + "Net bilateral aid flows from DAC donors, Ireland (current US$)\n", + "Net bilateral aid flows from DAC donors, Italy (current US$)\n", + "Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)\n", + "Net bilateral aid flows from DAC donors, Luxembourg (current US$)\n", + "Net bilateral aid flows from DAC donors, Netherlands (current US$)\n", + "Net bilateral aid flows from DAC donors, New Zealand (current US$)\n", + "Net bilateral aid flows from DAC donors, Norway (current US$)\n", + "Net bilateral aid flows from DAC donors, Poland (current US$)\n", + "Net bilateral aid flows from DAC donors, Portugal (current US$)\n", + "Net bilateral aid flows from DAC donors, Slovenia (current US$)\n", + "Net bilateral aid flows from DAC donors, Spain (current US$)\n", + "Net bilateral aid flows from DAC donors, Sweden (current US$)\n", + "Net bilateral aid flows from DAC donors, Switzerland (current US$)\n", + "Net financial flows, bilateral (NFL, current US$)\n", + "Net financial flows, IBRD (NFL, current US$)\n", + "Net financial flows, IMF nonconcessional (NFL, current US$)\n", + "Net financial flows, multilateral (NFL, current US$)\n", + "Net financial flows, others (NFL, current US$)\n", + "Net financial flows, RDB concessional (NFL, current US$)\n", + "Net financial flows, RDB nonconcessional (NFL, current US$)\n", + "Net flows on external debt, private nonguaranteed (PNG) (NFL, current US$)\n", + "Net intake rate in grade 1 (% of official school-age population)\n", + "Net intake rate in grade 1, female (% of official school-age population)\n", + "Net intake rate in grade 1, male (% of official school-age population)\n", + "Net ODA received (% of GNI)\n", + "Net ODA received (% of gross capital formation)\n", + "Net ODA received (% of imports of goods, services and primary income)\n", + "Net ODA received per capita (current US$)\n", + "Net official development assistance received (constant 2018 US$)\n", + "Net official development assistance received (current US$)\n", + "Net official flows from UN agencies, FAO (current US$)\n", + "Net official flows from UN agencies, IAEA (current US$)\n", + "Net official flows from UN agencies, IFAD (current US$)\n", + "Net official flows from UN agencies, ILO (current US$)\n", + "Net official flows from UN agencies, UNAIDS (current US$)\n", + "Net official flows from UN agencies, UNDP (current US$)\n", + "Net official flows from UN agencies, UNFPA (current US$)\n", + "Net official flows from UN agencies, UNHCR (current US$)\n", + "Net official flows from UN agencies, UNICEF (current US$)\n", + "Net official flows from UN agencies, WFP (current US$)\n", + "Net official flows from UN agencies, WHO (current US$)\n", + "Net secondary income (Net current transfers from abroad) (constant LCU)\n", + "Newborns protected against tetanus (%)\n", + "People using safely managed drinking water services (% of population)\n", + "People using safely managed drinking water services, rural (% of rural population)\n", + "People using safely managed drinking water services, urban (% of urban population)\n", + "People using safely managed sanitation services, rural (% of rural population)\n", + "People using safely managed sanitation services, urban (% of urban population)\n", + "People with basic handwashing facilities including soap and water (% of population)\n", + "People with basic handwashing facilities including soap and water, rural (% of rural population)\n", + "People with basic handwashing facilities including soap and water, urban (% of urban population)\n", + "Periodicity and timeliness assessment of statistical capacity (scale 0 - 100)\n", + "PNG, commercial banks and other creditors (NFL, current US$)\n", + "Portfolio investment, bonds (PPG + PNG) (NFL, current US$)\n", + "Power outages in firms in a typical month (number)\n", + "PPG, bonds (NFL, current US$)\n", + "PPG, commercial banks (NFL, current US$)\n", + "PPG, IBRD (DOD, current US$)\n", + "PPG, official creditors (NFL, current US$)\n", + "PPG, other private creditors (NFL, current US$)\n", + "PPG, private creditors (NFL, current US$)\n", + "Present value of external debt (% of exports of goods, services and primary income)\n", + "Present value of external debt (% of GNI)\n", + "Present value of external debt (current US$)\n", + "Prevalence of HIV, female (% ages 15-24)\n", + "Prevalence of HIV, male (% ages 15-24)\n", + "Prevalence of HIV, total (% of population ages 15-49)\n", + "Prevalence of moderate or severe food insecurity in the population (%)\n", + "Prevalence of overweight, weight for height, female (% of children under 5)\n", + "Prevalence of overweight, weight for height, male (% of children under 5)\n", + "Prevalence of severe food insecurity in the population (%)\n", + "Prevalence of severe wasting, weight for height (% of children under 5)\n", + "Prevalence of severe wasting, weight for height, female (% of children under 5)\n", + "Prevalence of severe wasting, weight for height, male (% of children under 5)\n", + "Prevalence of stunting, height for age, female (% of children under 5)\n", + "Prevalence of stunting, height for age, male (% of children under 5)\n", + "Prevalence of underweight, weight for age, female (% of children under 5)\n", + "Prevalence of underweight, weight for age, male (% of children under 5)\n", + "Prevalence of wasting, weight for height, female (% of children under 5)\n", + "Prevalence of wasting, weight for height, male (% of children under 5)\n", + "Primary government expenditures as a proportion of original approved budget (%)\n", + "Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)\n", + "Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)\n", + "Public and publicly guaranteed debt service (% of exports of goods, services and primary income)\n", + "Public and publicly guaranteed debt service (% of GNI)\n", + "Public private partnerships investment in energy (current US$)\n", + "Public private partnerships investment in transport (current US$)\n", + "Public private partnerships investment in water and sanitation (current US$)\n", + "Real effective exchange rate index (2010 = 100)\n", + "Real interest rate (%)\n", + "Risk premium on lending (lending rate minus treasury bill rate, %)\n", + "Short-term debt (% of exports of goods, services and primary income)\n", + "Short-term debt (% of total external debt)\n", + "Short-term debt (% of total reserves)\n", + "Source data assessment of statistical capacity (scale 0 - 100)\n", + "Statistical Capacity Score (Overall Average) (scale 0 - 100)\n", + "Technicians in R&D (per million people)\n", + "Time required to obtain an operating license (days)\n", + "Total debt service (% of exports of goods, services and primary income)\n", + "Total debt service (% of GNI)\n", + "Total reserves (% of total external debt)\n", + "Trained teachers in primary education (% of total teachers)\n", + "Trained teachers in primary education, female (% of female teachers)\n", + "Trained teachers in primary education, male (% of male teachers)\n", + "Unmet need for contraception (% of married women ages 15-49)\n", + "Use of IMF credit (DOD, current US$)\n", + "Women who believe a husband is justified in beating his wife (any of five reasons) (%)\n", + "Women who were first married by age 15 (% of women ages 20-24)\n", + "Women who were first married by age 18 (% of women ages 20-24)\n", + "Women's share of population ages 15+ living with HIV (%)\n", + "Young people (ages 15-24) newly infected with HIV\n", + "Adequacy of social insurance programs (% of total welfare of beneficiary households)\n", + "Adequacy of social protection and labor programs (% of total welfare of beneficiary households)\n", + "Adequacy of social safety net programs (% of total welfare of beneficiary households)\n", + "Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households)\n", + "Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%)\n", + "Annualized average growth rate in per capita real survey mean consumption or income, total population (%)\n", + "Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits)\n", + "Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits)\n", + "Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits)\n", + "Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)\n", + "Children in employment, self-employed (% of children in employment, ages 7-14)\n", + "Children in employment, self-employed, female (% of female children in employment, ages 7-14)\n", + "Children in employment, self-employed, male (% of male children in employment, ages 7-14)\n", + "Compensation of employees (% of expense)\n", + "Compensation of employees (current LCU)\n", + "Completeness of death registration with cause-of-death information (%)\n", + "Coverage of social insurance programs (% of population)\n", + "Coverage of social insurance programs in 2nd quintile (% of population)\n", + "Coverage of social insurance programs in 3rd quintile (% of population)\n", + "Coverage of social insurance programs in 4th quintile (% of population)\n", + "Coverage of social insurance programs in poorest quintile (% of population)\n", + "Coverage of social insurance programs in richest quintile (% of population)\n", + "Coverage of social protection and labor programs (% of population)\n", + "Coverage of social safety net programs (% of population)\n", + "Coverage of social safety net programs in 2nd quintile (% of population)\n", + "Coverage of social safety net programs in 3rd quintile (% of population)\n", + "Coverage of social safety net programs in 4th quintile (% of population)\n", + "Coverage of social safety net programs in poorest quintile (% of population)\n", + "Coverage of social safety net programs in richest quintile (% of population)\n", + "Coverage of unemployment benefits and ALMP (% of population)\n", + "Coverage of unemployment benefits and ALMP in 2nd quintile (% of population)\n", + "Coverage of unemployment benefits and ALMP in 3rd quintile (% of population)\n", + "Coverage of unemployment benefits and ALMP in 4th quintile (% of population)\n", + "Coverage of unemployment benefits and ALMP in poorest quintile (% of population)\n", + "Coverage of unemployment benefits and ALMP in richest quintile (% of population)\n", + "Current education expenditure, tertiary (% of total expenditure in tertiary public institutions)\n", + "Depositors with commercial banks (per 1,000 adults)\n", + "Domestic credit provided by financial sector (% of GDP)\n", + "Expenditure on primary education (% of government expenditure on education)\n", + "Expenditure on secondary education (% of government expenditure on education)\n", + "Expense (% of GDP)\n", + "Expense (current LCU)\n", + "Female share of employment in senior and middle management (%)\n", + "Firms experiencing electrical outages (% of firms)\n", + "Firms experiencing losses due to theft and vandalism (% of firms)\n", + "Firms that spend on R&D (% of firms)\n", + "Firms visited or required meetings with tax officials (% of firms)\n", + "Firms with female top manager (% of firms)\n", + "Goods and services expense (% of expense)\n", + "Goods and services expense (current LCU)\n", + "Interest payments (% of expense)\n", + "Losses due to theft and vandalism (% of annual sales of affected firms)\n", + "Net acquisition of financial assets (% of GDP)\n", + "Net acquisition of financial assets (current LCU)\n", + "Net bilateral aid flows from DAC donors, Slovak Republic (current US$)\n", + "Net incurrence of liabilities, total (% of GDP)\n", + "Net incurrence of liabilities, total (current LCU)\n", + "Net investment in nonfinancial assets (% of GDP)\n", + "Net investment in nonfinancial assets (current LCU)\n", + "Net lending (+) / net borrowing (-) (% of GDP)\n", + "Net lending (+) / net borrowing (-) (current LCU)\n", + "Net ODA received (% of central government expense)\n", + "Number of visits or required meetings with tax officials (average for affected firms)\n", + "Other expense (% of expense)\n", + "Other expense (current LCU)\n", + "PNG, bonds (NFL, current US$)\n", + "Population living in slums (% of urban population)\n", + "Public private partnerships investment in ICT (current US$)\n", + "S&P Global Equity Indices (annual % change)\n", + "Subsidies and other transfers (% of expense)\n", + "Subsidies and other transfers (current LCU)\n", + "Survey mean consumption or income per capita, bottom 40% of population (2011 PPP $ per day)\n", + "Survey mean consumption or income per capita, total population (2011 PPP $ per day)\n", + "Value lost due to electrical outages (% of sales for affected firms)\n", + "Average transaction cost of sending remittances from a specific country (%)\n", + "Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative)\n", + "Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative)\n", + "Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative)\n", + "Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative)\n", + "Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative)\n", + "Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative)\n", + "Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative)\n", + "Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative)\n", + "Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative)\n", + "Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative)\n", + "Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative)\n", + "Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative)\n", + "Multidimensional poverty headcount ratio (% of total population)\n", + "Multidimensional poverty headcount ratio, children (% of population ages 0-17)\n", + "Multidimensional poverty headcount ratio, female (% of female population)\n", + "Multidimensional poverty headcount ratio, male (% of male population)\n", + "Net ODA provided to the least developed countries (% of GNI)\n", + "Net ODA provided, to the least developed countries (current US$)\n", + "Net ODA provided, total (% of GNI)\n", + "Net ODA provided, total (constant 2015 US$)\n", + "Net ODA provided, total (current US$)\n", + "Net primary income (Net income from abroad) (constant LCU)\n", + "Number of surgical procedures (per 100,000 population)\n", + "Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49)\n", + "Wholesale price index (2010 = 100)\n", + "Central government debt, total (% of GDP)\n", + "Central government debt, total (current LCU)\n", + "Child employment in agriculture (% of economically active children ages 7-14)\n", + "Child employment in agriculture, female (% of female economically active children ages 7-14)\n", + "Child employment in agriculture, male (% of male economically active children ages 7-14)\n", + "Child employment in manufacturing (% of economically active children ages 7-14)\n", + "Child employment in manufacturing, female (% of female economically active children ages 7-14)\n", + "Child employment in manufacturing, male (% of male economically active children ages 7-14)\n", + "Child employment in services (% of economically active children ages 7-14)\n", + "Child employment in services, female (% of female economically active children ages 7-14)\n", + "Child employment in services, male (% of male economically active children ages 7-14)\n", + "Children with fever receiving antimalarial drugs (% of children under age 5 with fever)\n", + "Claims on other sectors of the domestic economy (% of GDP)\n", + "Condom use, population ages 15-24, female (% of females ages 15-24)\n", + "Condom use, population ages 15-24, male (% of males ages 15-24)\n", + "CPIA building human resources rating (1=low to 6=high)\n", + "CPIA business regulatory environment rating (1=low to 6=high)\n", + "CPIA debt policy rating (1=low to 6=high)\n", + "CPIA economic management cluster average (1=low to 6=high)\n", + "CPIA efficiency of revenue mobilization rating (1=low to 6=high)\n", + "CPIA equity of public resource use rating (1=low to 6=high)\n", + "CPIA financial sector rating (1=low to 6=high)\n", + "CPIA fiscal policy rating (1=low to 6=high)\n", + "CPIA gender equality rating (1=low to 6=high)\n", + "CPIA macroeconomic management rating (1=low to 6=high)\n", + "CPIA policies for social inclusion/equity cluster average (1=low to 6=high)\n", + "CPIA policy and institutions for environmental sustainability rating (1=low to 6=high)\n", + "CPIA property rights and rule-based governance rating (1=low to 6=high)\n", + "CPIA public sector management and institutions cluster average (1=low to 6=high)\n", + "CPIA quality of budgetary and financial management rating (1=low to 6=high)\n", + "CPIA quality of public administration rating (1=low to 6=high)\n", + "CPIA social protection rating (1=low to 6=high)\n", + "CPIA structural policies cluster average (1=low to 6=high)\n", + "CPIA trade rating (1=low to 6=high)\n", + "CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high)\n", + "Female headed households (% of households with a female head)\n", + "IDA resource allocation index (1=low to 6=high)\n", + "Net financial flows, IDA (NFL, current US$)\n", + "PPG, IDA (DOD, current US$)\n", + "Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)\n", + "Trained teachers in lower secondary education (% of total teachers)\n", + "Trained teachers in lower secondary education, female (% of female teachers)\n", + "Trained teachers in lower secondary education, male (% of male teachers)\n", + "Trained teachers in preprimary education (% of total teachers)\n", + "Trained teachers in preprimary education, female (% of female teachers)\n", + "Trained teachers in preprimary education, male (% of male teachers)\n", + "Trained teachers in upper secondary education (% of total teachers)\n", + "Trained teachers in upper secondary education, female (% of female teachers)\n", + "Trained teachers in upper secondary education, male (% of male teachers)\n", + "Use of insecticide-treated bed nets (% of under-5 population)\n", + "Vitamin A supplementation coverage rate (% of children ages 6-59 months)\n", + "Wanted fertility rate (births per woman)\n", + "Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)\n", + "Women who believe a husband is justified in beating his wife when she argues with him (%)\n", + "Women who believe a husband is justified in beating his wife when she burns the food (%)\n", + "Women who believe a husband is justified in beating his wife when she goes out without telling him (%)\n", + "Women who believe a husband is justified in beating his wife when she neglects the children (%)\n", + "Women who believe a husband is justified in beating his wife when she refuses sex with him (%)\n", + "Community health workers (per 1,000 people)\n", + "Net bilateral aid flows from DAC donors, Iceland (current US$)\n", + "Trained teachers in secondary education (% of total teachers)\n", + "Trained teachers in secondary education, female (% of female teachers)\n", + "Trained teachers in secondary education, male (% of male teachers)\n", + "Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)\n", + "Female genital mutilation prevalence (%)\n", + "Net official flows from UN agencies, UNPBF (current US$)\n", + "Multidimensional poverty headcount ratio, household (% of total households)\n", + "Multidimensional poverty index (scale 0-1)\n", + "Multidimensional poverty intensity (average share of deprivations experienced by the poor)\n", + "Net financial flows, IMF concessional (NFL, current US$)\n", + "Net official aid received (constant 2018 US$)\n", + "Net official aid received (current US$)\n", + "Multidimensional poverty index, children (population ages 0-17) (scale 0-1)\n" + ] + }, + { + "data": { + "text/html": [ + "
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IndicatorCountryYearAccess to clean fuels and technologies for cooking (% of population)Access to clean fuels and technologies for cooking, rural (% of rural population)Access to clean fuels and technologies for cooking, urban (% of urban population)Access to electricity (% of population)Access to electricity, rural (% of rural population)Access to electricity, urban (% of urban population)Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)...Urban population growth (annual %)Urban population living in areas where elevation is below 5 meters (% of total population)Vulnerable employment, female (% of female employment) (modeled ILO estimate)Vulnerable employment, male (% of male employment) (modeled ILO estimate)Vulnerable employment, total (% of total employment) (modeled ILO estimate)Wage and salaried workers, female (% of female employment) (modeled ILO estimate)Wage and salaried workers, male (% of male employment) (modeled ILO estimate)Wage and salaried workers, total (% of total employment) (modeled ILO estimate)Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)Women Business and the Law Index Score (scale 1-100)
352DEU1990100.0100.0100.0100.0100.0100.098.13362198.704536...1.0563653.0317765.7000004.8000005.17000092.05000389.11000190.33000254.51949771.250
353DEU1991100.0100.0100.0100.0100.0100.098.13362198.704536...0.9349083.0293785.7000004.8000005.17000092.05000389.11000190.33000254.51949771.250
354DEU1992100.0100.0100.0100.0100.0100.098.13362198.704536...0.8844703.0269805.7400004.9300005.27000091.91000488.58999689.97000154.51949771.250
355DEU1993100.0100.0100.0100.0100.0100.098.13362198.704536...0.8439673.0245815.8500005.0400005.38000091.66999888.25000089.66999856.03963171.250
356DEU1994100.0100.0100.0100.0100.0100.098.13362198.704536...0.6362453.0221835.6100005.2000005.37000091.62999787.73999889.37000357.55976471.250
..................................................................
251CHN201773.255.286.2100.0100.0100.080.22911876.364731...2.7396644.20300246.53000142.94999944.53000252.43000054.16999853.40000221.35895875.625
252CHN201875.659.087.4100.0100.0100.080.22911876.364731...2.5034014.20300245.72000141.94000143.60999953.20999955.13999954.29000121.35895875.625
253CHN201977.661.988.4100.0100.0100.080.22911876.364731...2.2901774.20300244.76000040.81999942.54000054.15000256.27999955.34000021.35895875.625
254CHN202079.465.289.4100.0100.0100.080.22911876.364731...2.0660474.20300244.76000040.81999942.54000054.15000256.27999955.34000021.35895875.625
255CHN202179.465.289.4100.0100.0100.080.22911876.364731...2.0660474.20300244.76000040.81999942.54000054.15000256.27999955.34000021.35895875.625
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1536 rows × 1060 columns

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" + ], + "text/plain": [ + "Indicator Country Year \\\n", + "352 DEU 1990 \n", + "353 DEU 1991 \n", + "354 DEU 1992 \n", + "355 DEU 1993 \n", + "356 DEU 1994 \n", + ".. ... ... \n", + "251 CHN 2017 \n", + "252 CHN 2018 \n", + "253 CHN 2019 \n", + "254 CHN 2020 \n", + "255 CHN 2021 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 73.2 \n", + "252 75.6 \n", + "253 77.6 \n", + "254 79.4 \n", + "255 79.4 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 55.2 \n", + "252 59.0 \n", + "253 61.9 \n", + "254 65.2 \n", + "255 65.2 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 86.2 \n", + "252 87.4 \n", + "253 88.4 \n", + "254 89.4 \n", + "255 89.4 \n", + "\n", + "Indicator Access to electricity (% of population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 100.0 \n", + "252 100.0 \n", + "253 100.0 \n", + "254 100.0 \n", + "255 100.0 \n", + "\n", + "Indicator Access to electricity, rural (% of rural population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 100.0 \n", + "252 100.0 \n", + "253 100.0 \n", + "254 100.0 \n", + "255 100.0 \n", + "\n", + "Indicator Access to electricity, urban (% of urban population) \\\n", + "352 100.0 \n", + "353 100.0 \n", + "354 100.0 \n", + "355 100.0 \n", + "356 100.0 \n", + ".. ... \n", + "251 100.0 \n", + "252 100.0 \n", + "253 100.0 \n", + "254 100.0 \n", + "255 100.0 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "352 98.133621 \n", + "353 98.133621 \n", + "354 98.133621 \n", + "355 98.133621 \n", + "356 98.133621 \n", + ".. ... \n", + "251 80.229118 \n", + "252 80.229118 \n", + "253 80.229118 \n", + "254 80.229118 \n", + "255 80.229118 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) \\\n", + "352 98.704536 \n", + "353 98.704536 \n", + "354 98.704536 \n", + "355 98.704536 \n", + "356 98.704536 \n", + ".. ... \n", + "251 76.364731 \n", + "252 76.364731 \n", + "253 76.364731 \n", + "254 76.364731 \n", + "255 76.364731 \n", + "\n", + "Indicator ... Urban population growth (annual %) \\\n", + "352 ... 1.056365 \n", + "353 ... 0.934908 \n", + "354 ... 0.884470 \n", + "355 ... 0.843967 \n", + "356 ... 0.636245 \n", + ".. ... ... \n", + "251 ... 2.739664 \n", + "252 ... 2.503401 \n", + "253 ... 2.290177 \n", + "254 ... 2.066047 \n", + "255 ... 2.066047 \n", + "\n", + "Indicator Urban population living in areas where elevation is below 5 meters (% of total population) \\\n", + "352 3.031776 \n", + "353 3.029378 \n", + "354 3.026980 \n", + "355 3.024581 \n", + "356 3.022183 \n", + ".. ... \n", + "251 4.203002 \n", + "252 4.203002 \n", + "253 4.203002 \n", + "254 4.203002 \n", + "255 4.203002 \n", + "\n", + "Indicator Vulnerable employment, female (% of female employment) (modeled ILO estimate) \\\n", + "352 5.700000 \n", + "353 5.700000 \n", + "354 5.740000 \n", + "355 5.850000 \n", + "356 5.610000 \n", + ".. ... \n", + "251 46.530001 \n", + "252 45.720001 \n", + "253 44.760000 \n", + "254 44.760000 \n", + "255 44.760000 \n", + "\n", + "Indicator Vulnerable employment, male (% of male employment) (modeled ILO estimate) \\\n", + "352 4.800000 \n", + "353 4.800000 \n", + "354 4.930000 \n", + "355 5.040000 \n", + "356 5.200000 \n", + ".. ... \n", + "251 42.949999 \n", + "252 41.940001 \n", + "253 40.819999 \n", + "254 40.819999 \n", + "255 40.819999 \n", + "\n", + "Indicator Vulnerable employment, total (% of total employment) (modeled ILO estimate) \\\n", + "352 5.170000 \n", + "353 5.170000 \n", + "354 5.270000 \n", + "355 5.380000 \n", + "356 5.370000 \n", + ".. ... \n", + "251 44.530002 \n", + "252 43.609999 \n", + "253 42.540000 \n", + "254 42.540000 \n", + "255 42.540000 \n", + "\n", + "Indicator Wage and salaried workers, female (% of female employment) (modeled ILO estimate) \\\n", + "352 92.050003 \n", + "353 92.050003 \n", + "354 91.910004 \n", + "355 91.669998 \n", + "356 91.629997 \n", + ".. ... \n", + "251 52.430000 \n", + "252 53.209999 \n", + "253 54.150002 \n", + "254 54.150002 \n", + "255 54.150002 \n", + "\n", + "Indicator Wage and salaried workers, male (% of male employment) (modeled ILO estimate) \\\n", + "352 89.110001 \n", + "353 89.110001 \n", + "354 88.589996 \n", + "355 88.250000 \n", + "356 87.739998 \n", + ".. ... \n", + "251 54.169998 \n", + "252 55.139999 \n", + "253 56.279999 \n", + "254 56.279999 \n", + "255 56.279999 \n", + "\n", + "Indicator Wage and salaried workers, total (% of total employment) (modeled ILO estimate) \\\n", + "352 90.330002 \n", + "353 90.330002 \n", + "354 89.970001 \n", + "355 89.669998 \n", + "356 89.370003 \n", + ".. ... \n", + "251 53.400002 \n", + "252 54.290001 \n", + "253 55.340000 \n", + "254 55.340000 \n", + "255 55.340000 \n", + "\n", + "Indicator Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) \\\n", + "352 54.519497 \n", + "353 54.519497 \n", + "354 54.519497 \n", + "355 56.039631 \n", + "356 57.559764 \n", + ".. ... \n", + "251 21.358958 \n", + "252 21.358958 \n", + "253 21.358958 \n", + "254 21.358958 \n", + "255 21.358958 \n", + "\n", + "Indicator Women Business and the Law Index Score (scale 1-100) \n", + "352 71.250 \n", + "353 71.250 \n", + "354 71.250 \n", + "355 71.250 \n", + "356 71.250 \n", + ".. ... \n", + "251 75.625 \n", + "252 75.625 \n", + "253 75.625 \n", + "254 75.625 \n", + "255 75.625 \n", + "\n", + "[1536 rows x 1060 columns]" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "number_1=len(data.index)*Slider1.value\n", + "for i in range(0, len(cols)):\n", + " if data[cols[i]].isna().sum()>number_1:\n", + " del(data[cols[i]])\n", + " print(cols[i])\n", + "data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Afterwards, we have scaled the values. The escalation process has been done dividing each value by the initial one of an indicator (value in 1990). Considering the start point as 1 (initial value divided by itself), each result will show the growth respect to the initial data." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "columns=data.columns.values.tolist()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "datae=data.loc[data.loc[:, 'Country'] == country_list[0]]\n", + "for i in range(2,len(columns)):\n", + " a=columns[i]\n", + " datae[a]=datae[a]/datae.iloc[0,i]\n", + "datau=datae" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorCountryYearAccess to clean fuels and technologies for cooking (% of population)Access to clean fuels and technologies for cooking, rural (% of rural population)Access to clean fuels and technologies for cooking, urban (% of urban population)Access to electricity (% of population)Access to electricity, rural (% of rural population)Access to electricity, urban (% of urban population)Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)...Urban population growth (annual %)Urban population living in areas where elevation is below 5 meters (% of total population)Vulnerable employment, female (% of female employment) (modeled ILO estimate)Vulnerable employment, male (% of male employment) (modeled ILO estimate)Vulnerable employment, total (% of total employment) (modeled ILO estimate)Wage and salaried workers, female (% of female employment) (modeled ILO estimate)Wage and salaried workers, male (% of male employment) (modeled ILO estimate)Wage and salaried workers, total (% of total employment) (modeled ILO estimate)Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)Women Business and the Law Index Score (scale 1-100)
352DEU19901.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...1.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000001.000000
353DEU19911.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...0.8850230.9992091.0000001.0000001.0000001.0000001.0000001.0000001.0000001.000000
354DEU19921.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...0.8372770.9984181.0070181.0270831.0193420.9984790.9941640.9960151.0000001.000000
355DEU19931.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...0.7989350.9976271.0263161.0500001.0406190.9958720.9903490.9926931.0278821.000000
356DEU19941.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...0.6022960.9968360.9842101.0833331.0386850.9954370.9846260.9893721.0557651.000000
..................................................................
251CHN20171.7428572.3489361.2611561.0306961.0487071.01.2571691.272562...0.6357001.3628190.7072500.6172750.6562041.5557861.9849761.7687988.6109871.273684
252CHN20181.8000002.5106381.2787131.0306961.0487071.01.2571691.272562...0.5808791.3628190.6949380.6027590.6426471.5789322.0205201.7982788.6109871.273684
253CHN20191.8476192.6340431.2933431.0306961.0487071.01.2571691.272562...0.5314031.3628190.6803470.5866630.6268791.6068252.0622941.8330578.6109871.273684
254CHN20201.8904762.7744681.3079741.0306961.0487071.01.2571691.272562...0.4793971.3628190.6803470.5866630.6268791.6068252.0622941.8330578.6109871.273684
255CHN20211.8904762.7744681.3079741.0306961.0487071.01.2571691.272562...0.4793971.3628190.6803470.5866630.6268791.6068252.0622941.8330578.6109871.273684
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1536 rows × 1060 columns

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" + ], + "text/plain": [ + "Indicator Country Year \\\n", + "352 DEU 1990 \n", + "353 DEU 1991 \n", + "354 DEU 1992 \n", + "355 DEU 1993 \n", + "356 DEU 1994 \n", + ".. ... ... \n", + "251 CHN 2017 \n", + "252 CHN 2018 \n", + "253 CHN 2019 \n", + "254 CHN 2020 \n", + "255 CHN 2021 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.742857 \n", + "252 1.800000 \n", + "253 1.847619 \n", + "254 1.890476 \n", + "255 1.890476 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 2.348936 \n", + "252 2.510638 \n", + "253 2.634043 \n", + "254 2.774468 \n", + "255 2.774468 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.261156 \n", + "252 1.278713 \n", + "253 1.293343 \n", + "254 1.307974 \n", + "255 1.307974 \n", + "\n", + "Indicator Access to electricity (% of population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.030696 \n", + "252 1.030696 \n", + "253 1.030696 \n", + "254 1.030696 \n", + "255 1.030696 \n", + "\n", + "Indicator Access to electricity, rural (% of rural population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.048707 \n", + "252 1.048707 \n", + "253 1.048707 \n", + "254 1.048707 \n", + "255 1.048707 \n", + "\n", + "Indicator Access to electricity, urban (% of urban population) \\\n", + "352 1.0 \n", + "353 1.0 \n", + "354 1.0 \n", + "355 1.0 \n", + "356 1.0 \n", + ".. ... \n", + "251 1.0 \n", + "252 1.0 \n", + "253 1.0 \n", + "254 1.0 \n", + "255 1.0 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.257169 \n", + "252 1.257169 \n", + "253 1.257169 \n", + "254 1.257169 \n", + "255 1.257169 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.272562 \n", + "252 1.272562 \n", + "253 1.272562 \n", + "254 1.272562 \n", + "255 1.272562 \n", + "\n", + "Indicator ... Urban population growth (annual %) \\\n", + "352 ... 1.000000 \n", + "353 ... 0.885023 \n", + "354 ... 0.837277 \n", + "355 ... 0.798935 \n", + "356 ... 0.602296 \n", + ".. ... ... \n", + "251 ... 0.635700 \n", + "252 ... 0.580879 \n", + "253 ... 0.531403 \n", + "254 ... 0.479397 \n", + "255 ... 0.479397 \n", + "\n", + "Indicator Urban population living in areas where elevation is below 5 meters (% of total population) \\\n", + "352 1.000000 \n", + "353 0.999209 \n", + "354 0.998418 \n", + "355 0.997627 \n", + "356 0.996836 \n", + ".. ... \n", + "251 1.362819 \n", + "252 1.362819 \n", + "253 1.362819 \n", + "254 1.362819 \n", + "255 1.362819 \n", + "\n", + "Indicator Vulnerable employment, female (% of female employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.007018 \n", + "355 1.026316 \n", + "356 0.984210 \n", + ".. ... \n", + "251 0.707250 \n", + "252 0.694938 \n", + "253 0.680347 \n", + "254 0.680347 \n", + "255 0.680347 \n", + "\n", + "Indicator Vulnerable employment, male (% of male employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.027083 \n", + "355 1.050000 \n", + "356 1.083333 \n", + ".. ... \n", + "251 0.617275 \n", + "252 0.602759 \n", + "253 0.586663 \n", + "254 0.586663 \n", + "255 0.586663 \n", + "\n", + "Indicator Vulnerable employment, total (% of total employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.019342 \n", + "355 1.040619 \n", + "356 1.038685 \n", + ".. ... \n", + "251 0.656204 \n", + "252 0.642647 \n", + "253 0.626879 \n", + "254 0.626879 \n", + "255 0.626879 \n", + "\n", + "Indicator Wage and salaried workers, female (% of female employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 0.998479 \n", + "355 0.995872 \n", + "356 0.995437 \n", + ".. ... \n", + "251 1.555786 \n", + "252 1.578932 \n", + "253 1.606825 \n", + "254 1.606825 \n", + "255 1.606825 \n", + "\n", + "Indicator Wage and salaried workers, male (% of male employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 0.994164 \n", + "355 0.990349 \n", + "356 0.984626 \n", + ".. ... \n", + "251 1.984976 \n", + "252 2.020520 \n", + "253 2.062294 \n", + "254 2.062294 \n", + "255 2.062294 \n", + "\n", + "Indicator Wage and salaried workers, total (% of total employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 0.996015 \n", + "355 0.992693 \n", + "356 0.989372 \n", + ".. ... \n", + "251 1.768798 \n", + "252 1.798278 \n", + "253 1.833057 \n", + "254 1.833057 \n", + "255 1.833057 \n", + "\n", + "Indicator Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.027882 \n", + "356 1.055765 \n", + ".. ... \n", + "251 8.610987 \n", + "252 8.610987 \n", + "253 8.610987 \n", + "254 8.610987 \n", + "255 8.610987 \n", + "\n", + "Indicator Women Business and the Law Index Score (scale 1-100) \n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.273684 \n", + "252 1.273684 \n", + "253 1.273684 \n", + "254 1.273684 \n", + "255 1.273684 \n", + "\n", + "[1536 rows x 1060 columns]" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "for u in range(1,len(country_list)):\n", + " datae=data.loc[data.loc[:, 'Country'] == country_list[u]] \n", + " for i in range(2,len(columns)):\n", + " a=columns[i]\n", + " datae[a]=datae[a]/datae.iloc[0,i]\n", + " datau=pd.concat((datau, datae), axis = 0)\n", + "datau" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As later on we want to study the correlations with time moved, we need to create new columns for it. The reason why is because, maybe the effect of a variable does not happen until a couple of years later. The time movements that have been considered are those of the Fibonacci serie within our time period. \n", + "\n", + "The following pictures helps to realize the behaviour that we were explaining. \n", + "\n", + "![](https://raw.githubusercontent.com/devonfw-forge/python-data-driven-decisions/main-the-big-three/Logos/Time%20moved.JPG)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorCountryYearAccess to clean fuels and technologies for cooking (% of population)Access to clean fuels and technologies for cooking, rural (% of rural population)Access to clean fuels and technologies for cooking, urban (% of urban population)Access to electricity (% of population)Access to electricity, rural (% of rural population)Access to electricity, urban (% of urban population)Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)...Wage and salaried workers, total (% of total employment) (modeled ILO estimate)Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)Women Business and the Law Index Score (scale 1-100)GDP (current US$)+1GDP (current US$)+2GDP (current US$)+3GDP (current US$)+5GDP (current US$)+8GDP (current US$)+13GDP (current US$)+21
352DEU19901.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...1.0000001.0000001.000000NaNNaNNaNNaNNaNNaNNaN
353DEU19911.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...1.0000001.0000001.0000001.000000NaNNaNNaNNaNNaNNaN
354DEU19921.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...0.9960151.0000001.0000001.0549051.000000NaNNaNNaNNaNNaN
355DEU19931.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...0.9926931.0278821.0000001.2031421.0549051.000000NaNNaNNaNNaN
356DEU19941.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...0.9893721.0557651.0000001.1691361.2031421.054905NaNNaNNaNNaN
..................................................................
251CHN20171.7428572.3489361.2611561.0306961.0487071.01.2571691.272562...1.7687988.6109871.27368431.12936230.65348629.02993823.64429214.1377065.4186062.393592
252CHN20181.8000002.5106381.2787131.0306961.0487071.01.2571691.272562...1.7982788.6109871.27368434.11428431.12936230.65348626.52125916.8685896.3348092.664772
253CHN20191.8476192.6340431.2933431.0306961.0487071.01.2571691.272562...1.8330578.6109871.27368438.50495534.11428431.12936229.02993820.9265197.6266362.851657
254CHN20201.8904762.7744681.3079741.0306961.0487071.01.2571691.272562...1.8330578.6109871.27368439.57218938.50495534.11428430.65348623.6442929.8386173.031657
255CHN20211.8904762.7744681.3079741.0306961.0487071.01.2571691.272562...1.8330578.6109871.27368440.79924639.57218938.50495531.12936226.52125912.7316233.356853
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1536 rows × 1067 columns

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" + ], + "text/plain": [ + "Indicator Country Year \\\n", + "352 DEU 1990 \n", + "353 DEU 1991 \n", + "354 DEU 1992 \n", + "355 DEU 1993 \n", + "356 DEU 1994 \n", + ".. ... ... \n", + "251 CHN 2017 \n", + "252 CHN 2018 \n", + "253 CHN 2019 \n", + "254 CHN 2020 \n", + "255 CHN 2021 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.742857 \n", + "252 1.800000 \n", + "253 1.847619 \n", + "254 1.890476 \n", + "255 1.890476 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 2.348936 \n", + "252 2.510638 \n", + "253 2.634043 \n", + "254 2.774468 \n", + "255 2.774468 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.261156 \n", + "252 1.278713 \n", + "253 1.293343 \n", + "254 1.307974 \n", + "255 1.307974 \n", + "\n", + "Indicator Access to electricity (% of population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.030696 \n", + "252 1.030696 \n", + "253 1.030696 \n", + "254 1.030696 \n", + "255 1.030696 \n", + "\n", + "Indicator Access to electricity, rural (% of rural population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.048707 \n", + "252 1.048707 \n", + "253 1.048707 \n", + "254 1.048707 \n", + "255 1.048707 \n", + "\n", + "Indicator Access to electricity, urban (% of urban population) \\\n", + "352 1.0 \n", + "353 1.0 \n", + "354 1.0 \n", + "355 1.0 \n", + "356 1.0 \n", + ".. ... \n", + "251 1.0 \n", + "252 1.0 \n", + "253 1.0 \n", + "254 1.0 \n", + "255 1.0 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.257169 \n", + "252 1.257169 \n", + "253 1.257169 \n", + "254 1.257169 \n", + "255 1.257169 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.272562 \n", + "252 1.272562 \n", + "253 1.272562 \n", + "254 1.272562 \n", + "255 1.272562 \n", + "\n", + "Indicator ... \\\n", + "352 ... \n", + "353 ... \n", + "354 ... \n", + "355 ... \n", + "356 ... \n", + ".. ... \n", + "251 ... \n", + "252 ... \n", + "253 ... \n", + "254 ... \n", + "255 ... \n", + "\n", + "Indicator Wage and salaried workers, total (% of total employment) (modeled ILO estimate) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 0.996015 \n", + "355 0.992693 \n", + "356 0.989372 \n", + ".. ... \n", + "251 1.768798 \n", + "252 1.798278 \n", + "253 1.833057 \n", + "254 1.833057 \n", + "255 1.833057 \n", + "\n", + "Indicator Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.027882 \n", + "356 1.055765 \n", + ".. ... \n", + "251 8.610987 \n", + "252 8.610987 \n", + "253 8.610987 \n", + "254 8.610987 \n", + "255 8.610987 \n", + "\n", + "Indicator Women Business and the Law Index Score (scale 1-100) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.273684 \n", + "252 1.273684 \n", + "253 1.273684 \n", + "254 1.273684 \n", + "255 1.273684 \n", + "\n", + "Indicator GDP (current US$)+1 GDP (current US$)+2 GDP (current US$)+3 \\\n", + "352 NaN NaN NaN \n", + "353 1.000000 NaN NaN \n", + "354 1.054905 1.000000 NaN \n", + "355 1.203142 1.054905 1.000000 \n", + "356 1.169136 1.203142 1.054905 \n", + ".. ... ... ... \n", + "251 31.129362 30.653486 29.029938 \n", + "252 34.114284 31.129362 30.653486 \n", + "253 38.504955 34.114284 31.129362 \n", + "254 39.572189 38.504955 34.114284 \n", + "255 40.799246 39.572189 38.504955 \n", + "\n", + "Indicator GDP (current US$)+5 GDP (current US$)+8 GDP (current US$)+13 \\\n", + "352 NaN NaN NaN \n", + "353 NaN NaN NaN \n", + "354 NaN NaN NaN \n", + "355 NaN NaN NaN \n", + "356 NaN NaN NaN \n", + ".. ... ... ... \n", + "251 23.644292 14.137706 5.418606 \n", + "252 26.521259 16.868589 6.334809 \n", + "253 29.029938 20.926519 7.626636 \n", + "254 30.653486 23.644292 9.838617 \n", + "255 31.129362 26.521259 12.731623 \n", + "\n", + "Indicator GDP (current US$)+21 \n", + "352 NaN \n", + "353 NaN \n", + "354 NaN \n", + "355 NaN \n", + "356 NaN \n", + ".. ... \n", + "251 2.393592 \n", + "252 2.664772 \n", + "253 2.851657 \n", + "254 3.031657 \n", + "255 3.356853 \n", + "\n", + "[1536 rows x 1067 columns]" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "shifted=pd.DataFrame()\n", + "for i in range(0,len(country_list)):\n", + " dat=datau.loc[datau.loc[:, 'Country'] == country_list[i]]\n", + " dat['GDP (current US$)+1']=dat['GDP (current US$)'].shift(periods=1)\n", + " dat['GDP (current US$)+2']=dat['GDP (current US$)'].shift(periods=2)\n", + " dat['GDP (current US$)+3']=dat['GDP (current US$)'].shift(periods=3)\n", + " dat['GDP (current US$)+5']=dat['GDP (current US$)'].shift(periods=5)\n", + " dat['GDP (current US$)+8']=dat['GDP (current US$)'].shift(periods=8)\n", + " dat['GDP (current US$)+13']=dat['GDP (current US$)'].shift(periods=13)\n", + " dat['GDP (current US$)+21']=dat['GDP (current US$)'].shift(periods=21)\n", + " shifted=pd.concat((shifted, dat), axis = 0)\n", + "shifted" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "data=shifted" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For the next part of analyzing this data, we think it is gonna be interesting to have it classify by the categories of the Country groups defined before, to which we call \"Continent\". This category is useful as it groups the nations with similar economies or geographical proximity, so we can extract common conclusions from them." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We create a dictionary with the regions and the countries included in each one. Where we will relate the countries and regions so then we can apply the .map function and arrive to the final dataframe." + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'DEU': 'Europe', 'FRA': 'Europe', 'SWE': 'Europe', 'GBR': 'Europe', 'ESP': 'Europe', 'HRV': 'Europe', 'POL': 'Europe', 'GRC': 'Europe', 'AUT': 'Europe', 'NLD': 'Europe', 'IRQ': 'Persian Gulf', 'QAT': 'Persian Gulf', 'ARE': 'Persian Gulf', 'SAU': 'Persian Gulf', 'AZE': 'Persian Gulf', 'YEM': 'Persian Gulf', 'YDR': 'Persian Gulf', 'OMN': 'Persian Gulf', 'DZA': 'North Africa', 'EGY': 'North Africa', 'LBY': 'North Africa', 'ISR': 'North Africa', 'TUR': 'North Africa', 'MAR': 'North Africa', 'SEN': 'South Africa', 'ZAF': 'South Africa', 'LBR': 'South Africa', 'MOZ': 'South Africa', 'CMR': 'South Africa', 'NGA': 'South Africa', 'GHA': 'South Africa', 'BGD': 'Asia', 'IND': 'Asia', 'VNM': 'Asia', 'THA': 'Asia', 'IDN': 'Asia', 'PHL': 'Asia', 'KOR': 'Asia', 'MEX': 'Latam', 'BRA': 'Latam', 'ARG': 'Latam', 'PER': 'Latam', 'VEN': 'Latam', 'COL': 'Latam', 'CHL': 'Latam', 'PAN': 'Latam', 'CRI': 'Latam', 'USA': 'Pair', 'CHN': 'Pair'}\n" + ] + } + ], + "source": [ + "countries_by_region = {\n", + " \"Europe\": ('DEU','FRA','SWE','GBR','ESP','HRV','POL','GRC','AUT','NLD'),\n", + " 'Persian Gulf': ('IRQ','QAT','ARE','SAU','AZE','YEM','YDR','OMN'),\n", + " 'North Africa':('DZA','EGY','LBY','ISR','TUR','MAR'),\n", + " 'South Africa':('SEN','ZAF','LBR','MOZ','CMR','NGA','GHA'),\n", + " 'Asia':('BGD','IND','VNM','THA','IDN','PHL','KOR'),\n", + " 'Latam':('MEX','BRA','ARG','PER','VEN','COL','CHL','PAN','CRI'),\n", + " 'Pair':('USA','CHN')\n", + " }\n", + "\n", + "all_countries = {}\n", + "for region in countries_by_region.keys():\n", + " for country in countries_by_region[region]:\n", + " all_countries[country] = region\n", + "\n", + "print(all_countries)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorCountryYearAccess to clean fuels and technologies for cooking (% of population)Access to clean fuels and technologies for cooking, rural (% of rural population)Access to clean fuels and technologies for cooking, urban (% of urban population)Access to electricity (% of population)Access to electricity, rural (% of rural population)Access to electricity, urban (% of urban population)Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)...Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)Women Business and the Law Index Score (scale 1-100)GDP (current US$)+1GDP (current US$)+2GDP (current US$)+3GDP (current US$)+5GDP (current US$)+8GDP (current US$)+13GDP (current US$)+21Continent
352DEU19901.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...1.0000001.000000NaNNaNNaNNaNNaNNaNNaNEurope
353DEU19911.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...1.0000001.0000001.000000NaNNaNNaNNaNNaNNaNEurope
354DEU19921.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...1.0000001.0000001.0549051.000000NaNNaNNaNNaNNaNEurope
355DEU19931.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...1.0278821.0000001.2031421.0549051.000000NaNNaNNaNNaNEurope
356DEU19941.0000001.0000001.0000001.0000001.0000001.01.0000001.000000...1.0557651.0000001.1691361.2031421.054905NaNNaNNaNNaNEurope
..................................................................
251CHN20171.7428572.3489361.2611561.0306961.0487071.01.2571691.272562...8.6109871.27368431.12936230.65348629.02993823.64429214.1377065.4186062.393592Pair
252CHN20181.8000002.5106381.2787131.0306961.0487071.01.2571691.272562...8.6109871.27368434.11428431.12936230.65348626.52125916.8685896.3348092.664772Pair
253CHN20191.8476192.6340431.2933431.0306961.0487071.01.2571691.272562...8.6109871.27368438.50495534.11428431.12936229.02993820.9265197.6266362.851657Pair
254CHN20201.8904762.7744681.3079741.0306961.0487071.01.2571691.272562...8.6109871.27368439.57218938.50495534.11428430.65348623.6442929.8386173.031657Pair
255CHN20211.8904762.7744681.3079741.0306961.0487071.01.2571691.272562...8.6109871.27368440.79924639.57218938.50495531.12936226.52125912.7316233.356853Pair
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1536 rows × 1068 columns

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" + ], + "text/plain": [ + "Indicator Country Year \\\n", + "352 DEU 1990 \n", + "353 DEU 1991 \n", + "354 DEU 1992 \n", + "355 DEU 1993 \n", + "356 DEU 1994 \n", + ".. ... ... \n", + "251 CHN 2017 \n", + "252 CHN 2018 \n", + "253 CHN 2019 \n", + "254 CHN 2020 \n", + "255 CHN 2021 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking (% of population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.742857 \n", + "252 1.800000 \n", + "253 1.847619 \n", + "254 1.890476 \n", + "255 1.890476 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, rural (% of rural population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 2.348936 \n", + "252 2.510638 \n", + "253 2.634043 \n", + "254 2.774468 \n", + "255 2.774468 \n", + "\n", + "Indicator Access to clean fuels and technologies for cooking, urban (% of urban population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.261156 \n", + "252 1.278713 \n", + "253 1.293343 \n", + "254 1.307974 \n", + "255 1.307974 \n", + "\n", + "Indicator Access to electricity (% of population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.030696 \n", + "252 1.030696 \n", + "253 1.030696 \n", + "254 1.030696 \n", + "255 1.030696 \n", + "\n", + "Indicator Access to electricity, rural (% of rural population) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.048707 \n", + "252 1.048707 \n", + "253 1.048707 \n", + "254 1.048707 \n", + "255 1.048707 \n", + "\n", + "Indicator Access to electricity, urban (% of urban population) \\\n", + "352 1.0 \n", + "353 1.0 \n", + "354 1.0 \n", + "355 1.0 \n", + "356 1.0 \n", + ".. ... \n", + "251 1.0 \n", + "252 1.0 \n", + "253 1.0 \n", + "254 1.0 \n", + "255 1.0 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.257169 \n", + "252 1.257169 \n", + "253 1.257169 \n", + "254 1.257169 \n", + "255 1.257169 \n", + "\n", + "Indicator Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.272562 \n", + "252 1.272562 \n", + "253 1.272562 \n", + "254 1.272562 \n", + "255 1.272562 \n", + "\n", + "Indicator ... \\\n", + "352 ... \n", + "353 ... \n", + "354 ... \n", + "355 ... \n", + "356 ... \n", + ".. ... \n", + "251 ... \n", + "252 ... \n", + "253 ... \n", + "254 ... \n", + "255 ... \n", + "\n", + "Indicator Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.027882 \n", + "356 1.055765 \n", + ".. ... \n", + "251 8.610987 \n", + "252 8.610987 \n", + "253 8.610987 \n", + "254 8.610987 \n", + "255 8.610987 \n", + "\n", + "Indicator Women Business and the Law Index Score (scale 1-100) \\\n", + "352 1.000000 \n", + "353 1.000000 \n", + "354 1.000000 \n", + "355 1.000000 \n", + "356 1.000000 \n", + ".. ... \n", + "251 1.273684 \n", + "252 1.273684 \n", + "253 1.273684 \n", + "254 1.273684 \n", + "255 1.273684 \n", + "\n", + "Indicator GDP (current US$)+1 GDP (current US$)+2 GDP (current US$)+3 \\\n", + "352 NaN NaN NaN \n", + "353 1.000000 NaN NaN \n", + "354 1.054905 1.000000 NaN \n", + "355 1.203142 1.054905 1.000000 \n", + "356 1.169136 1.203142 1.054905 \n", + ".. ... ... ... \n", + "251 31.129362 30.653486 29.029938 \n", + "252 34.114284 31.129362 30.653486 \n", + "253 38.504955 34.114284 31.129362 \n", + "254 39.572189 38.504955 34.114284 \n", + "255 40.799246 39.572189 38.504955 \n", + "\n", + "Indicator GDP (current US$)+5 GDP (current US$)+8 GDP (current US$)+13 \\\n", + "352 NaN NaN NaN \n", + "353 NaN NaN NaN \n", + "354 NaN NaN NaN \n", + "355 NaN NaN NaN \n", + "356 NaN NaN NaN \n", + ".. ... ... ... \n", + "251 23.644292 14.137706 5.418606 \n", + "252 26.521259 16.868589 6.334809 \n", + "253 29.029938 20.926519 7.626636 \n", + "254 30.653486 23.644292 9.838617 \n", + "255 31.129362 26.521259 12.731623 \n", + "\n", + "Indicator GDP (current US$)+21 Continent \n", + "352 NaN Europe \n", + "353 NaN Europe \n", + "354 NaN Europe \n", + "355 NaN Europe \n", + "356 NaN Europe \n", + ".. ... ... \n", + "251 2.393592 Pair \n", + "252 2.664772 Pair \n", + "253 2.851657 Pair \n", + "254 3.031657 Pair \n", + "255 3.356853 Pair \n", + "\n", + "[1536 rows x 1068 columns]" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data['Continent']=data['Country'].map(all_countries)\n", + "Goldendataframe=data\n", + "Goldendataframe" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With that all, we export our dataframe all-in-one and by the continent category." + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "Goldendataframe.to_csv(os.getcwd()+'/Data/GoldenDataFrame.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "for region, data in Goldendataframe.groupby('Continent'):\n", + " data.to_csv(os.getcwd()+'/Data/{}.csv'.format(region))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Categorization of variables" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this section, we are going to attempt a categorization of the whole of the variables, which most of them come the same sources and just differ in the units that are measured, or the total that they are refering, between others. For a simpler treatment of the data, the variables have been pivoted into the same column." + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "columns_golden=list(Goldendataframe.columns)\n", + "del columns_golden[0:2]" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator0Short indicator
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...
3DEU1990EuropeAccess to electricity (% of population)1.000000Access to electricity (% of population)
4DEU1990EuropeAccess to electricity, rural (% of rural popul...1.000000Access to electricity, rural (% of rural popul...
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1540358CHN2021PairGDP (current US$)+338.504955GDP (current US$)+3
1540359CHN2021PairGDP (current US$)+531.129362GDP (current US$)+5
1540360CHN2021PairGDP (current US$)+826.521259GDP (current US$)+8
1540361CHN2021PairGDP (current US$)+1312.731623GDP (current US$)+13
1540362CHN2021PairGDP (current US$)+213.356853GDP (current US$)+21
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1540363 rows × 6 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity (% of population) \n", + "4 Access to electricity, rural (% of rural popul... \n", + "... ... \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", + "\n", + "[1540363 rows x 6 columns]" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Categorization=Goldendataframe.set_index(['Country','Year', 'Continent']).stack().reset_index()\n", + "Categorization['Short indicator']=Categorization['Indicator']\n", + "Categorization" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " There are some indicators which represent exactly the same through different units, so, we are going to select only one type. For example, in monetary cases, indicators which are expressed with current US $ has been selected. Then, which are showed with the percentage and the total value, we have programmed to selct which ones which show a greater value.\n", + "\n", + "The links used to learn about these functions have been:\n", + "\n", + "https://www.geeksforgeeks.org/how-to-drop-rows-that-contain-a-specific-string-in-pandas/ \n", + "\n", + "https://www.statology.org/pandas-drop-rows-that-contain-string/ " + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator0Short indicator
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...
3DEU1990EuropeAccess to electricity (% of population)1.000000Access to electricity (% of population)
4DEU1990EuropeAccess to electricity, rural (% of rural popul...1.000000Access to electricity, rural (% of rural popul...
.....................
1540358CHN2021PairGDP (current US$)+338.504955GDP (current US$)+3
1540359CHN2021PairGDP (current US$)+531.129362GDP (current US$)+5
1540360CHN2021PairGDP (current US$)+826.521259GDP (current US$)+8
1540361CHN2021PairGDP (current US$)+1312.731623GDP (current US$)+13
1540362CHN2021PairGDP (current US$)+213.356853GDP (current US$)+21
\n", + "

1372098 rows × 6 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity (% of population) \n", + "4 Access to electricity, rural (% of rural popul... \n", + "... ... \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", + "\n", + "[1372098 rows x 6 columns]" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import re\n", + "discard=[\"annual % growth\",\"constant 2015 US[$]\",\"% of GNI\",\"constant LCU\",\"current LCU\"]\n", + "Categorization2=Categorization[~Categorization['Short indicator'].str.contains('|'.join(discard))]\n", + "Categorization2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To check previous step." + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "#Categorization2.apply(lambda row: row.astype(str).str.contains('US').any(), axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we are going to structure the indicators in a same way to work better. The first step consist of making a new column that shows the units of each variable. Units are showed inside the parenthesis of the indicator name." + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator0Short indicatorUnits
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of population)
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of rural population)
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of urban population)
3DEU1990EuropeAccess to electricity (% of population)1.000000Access to electricity (% of population)(% of population)
4DEU1990EuropeAccess to electricity, rural (% of rural popul...1.000000Access to electricity, rural (% of rural popul...(% of rural population)
........................
1540358CHN2021PairGDP (current US$)+338.504955GDP (current US$)+3(current US$)
1540359CHN2021PairGDP (current US$)+531.129362GDP (current US$)+5(current US$)
1540360CHN2021PairGDP (current US$)+826.521259GDP (current US$)+8(current US$)
1540361CHN2021PairGDP (current US$)+1312.731623GDP (current US$)+13(current US$)
1540362CHN2021PairGDP (current US$)+213.356853GDP (current US$)+21(current US$)
\n", + "

1372098 rows × 7 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity (% of population) \n", + "4 Access to electricity, rural (% of rural popul... \n", + "... ... \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", + "\n", + " Units \n", + "0 (% of population) \n", + "1 (% of rural population) \n", + "2 (% of urban population) \n", + "3 (% of population) \n", + "4 (% of rural population) \n", + "... ... \n", + "1540358 (current US$) \n", + "1540359 (current US$) \n", + "1540360 (current US$) \n", + "1540361 (current US$) \n", + "1540362 (current US$) \n", + "\n", + "[1372098 rows x 7 columns]" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Categorization2['Units']=Categorization2['Short indicator'].str.extract(' (\\(.*\\))')\n", + "Categorization2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, short indicator refers to the original indicator name without the units. The extracted information from the origin column has been deleted." + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator0Short indicatorUnits
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of population)
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of rural population)
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of urban population)
3DEU1990EuropeAccess to electricity (% of population)1.000000Access to electricity(% of population)
4DEU1990EuropeAccess to electricity, rural (% of rural popul...1.000000Access to electricity, rural(% of rural population)
........................
1540358CHN2021PairGDP (current US$)+338.504955GDP+3(current US$)
1540359CHN2021PairGDP (current US$)+531.129362GDP+5(current US$)
1540360CHN2021PairGDP (current US$)+826.521259GDP+8(current US$)
1540361CHN2021PairGDP (current US$)+1312.731623GDP+13(current US$)
1540362CHN2021PairGDP (current US$)+213.356853GDP+21(current US$)
\n", + "

1372098 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity \n", + "4 Access to electricity, rural \n", + "... ... \n", + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", + "\n", + " Units \n", + "0 (% of population) \n", + "1 (% of rural population) \n", + "2 (% of urban population) \n", + "3 (% of population) \n", + "4 (% of rural population) \n", + "... ... \n", + "1540358 (current US$) \n", + "1540359 (current US$) \n", + "1540360 (current US$) \n", + "1540361 (current US$) \n", + "1540362 (current US$) \n", + "\n", + "[1372098 rows x 7 columns]" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Categorization2['Short indicator']=Categorization2['Short indicator'].str.replace(r\" (\\(.*\\))\",\"\")\n", + "Categorization2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In some cases there are extra information in indicators name. The information of the second parenthesis is extracted as a new column too." + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator0Short indicatorUnits
151DEU1990EuropeContributing family workers, female (% of fema...1.000000Contributing family workers, female(% of female employment) (modeled ILO estimate)
152DEU1990EuropeContributing family workers, male (% of male e...1.000000Contributing family workers, male(% of male employment) (modeled ILO estimate)
153DEU1990EuropeContributing family workers, total (% of total...1.000000Contributing family workers, total(% of total employment) (modeled ILO estimate)
1151DEU1991EuropeContributing family workers, female (% of fema...1.000000Contributing family workers, female(% of female employment) (modeled ILO estimate)
1152DEU1991EuropeContributing family workers, male (% of male e...1.000000Contributing family workers, male(% of male employment) (modeled ILO estimate)
........................
1538535CHN2020PairContributing family workers, male (% of male e...0.252894Contributing family workers, male(% of male employment) (modeled ILO estimate)
1538536CHN2020PairContributing family workers, total (% of total...0.329385Contributing family workers, total(% of total employment) (modeled ILO estimate)
1539524CHN2021PairContributing family workers, female (% of fema...0.386565Contributing family workers, female(% of female employment) (modeled ILO estimate)
1539525CHN2021PairContributing family workers, male (% of male e...0.252894Contributing family workers, male(% of male employment) (modeled ILO estimate)
1539526CHN2021PairContributing family workers, total (% of total...0.329385Contributing family workers, total(% of total employment) (modeled ILO estimate)
\n", + "

4545 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " Country Year Continent \\\n", + "151 DEU 1990 Europe \n", + "152 DEU 1990 Europe \n", + "153 DEU 1990 Europe \n", + "1151 DEU 1991 Europe \n", + "1152 DEU 1991 Europe \n", + "... ... ... ... \n", + "1538535 CHN 2020 Pair \n", + "1538536 CHN 2020 Pair \n", + "1539524 CHN 2021 Pair \n", + "1539525 CHN 2021 Pair \n", + "1539526 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "151 Contributing family workers, female (% of fema... 1.000000 \n", + "152 Contributing family workers, male (% of male e... 1.000000 \n", + "153 Contributing family workers, total (% of total... 1.000000 \n", + "1151 Contributing family workers, female (% of fema... 1.000000 \n", + "1152 Contributing family workers, male (% of male e... 1.000000 \n", + "... ... ... \n", + "1538535 Contributing family workers, male (% of male e... 0.252894 \n", + "1538536 Contributing family workers, total (% of total... 0.329385 \n", + "1539524 Contributing family workers, female (% of fema... 0.386565 \n", + "1539525 Contributing family workers, male (% of male e... 0.252894 \n", + "1539526 Contributing family workers, total (% of total... 0.329385 \n", + "\n", + " Short indicator \\\n", + "151 Contributing family workers, female \n", + "152 Contributing family workers, male \n", + "153 Contributing family workers, total \n", + "1151 Contributing family workers, female \n", + "1152 Contributing family workers, male \n", + "... ... \n", + "1538535 Contributing family workers, male \n", + "1538536 Contributing family workers, total \n", + "1539524 Contributing family workers, female \n", + "1539525 Contributing family workers, male \n", + "1539526 Contributing family workers, total \n", + "\n", + " Units \n", + "151 (% of female employment) (modeled ILO estimate) \n", + "152 (% of male employment) (modeled ILO estimate) \n", + "153 (% of total employment) (modeled ILO estimate) \n", + "1151 (% of female employment) (modeled ILO estimate) \n", + "1152 (% of male employment) (modeled ILO estimate) \n", + "... ... \n", + "1538535 (% of male employment) (modeled ILO estimate) \n", + "1538536 (% of total employment) (modeled ILO estimate) \n", + "1539524 (% of female employment) (modeled ILO estimate) \n", + "1539525 (% of male employment) (modeled ILO estimate) \n", + "1539526 (% of total employment) (modeled ILO estimate) \n", + "\n", + "[4545 rows x 7 columns]" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "two_parent=Categorization2[Categorization2['Short indicator'].str.contains('Contributing family workers')]\n", + "two_parent" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Moreover, there are some inidcators with an extra parenthesis adding some more information. As this information isn't related with units, another column named as 'other specification' has been created." + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator0Short indicatorUnitsOther specification
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of population)None
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of rural population)None
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of urban population)None
3DEU1990EuropeAccess to electricity (% of population)1.000000Access to electricity(% of population)None
4DEU1990EuropeAccess to electricity, rural (% of rural popul...1.000000Access to electricity, rural(% of rural population)None
...........................
1540358CHN2021PairGDP (current US$)+338.504955GDP+3(current US$)None
1540359CHN2021PairGDP (current US$)+531.129362GDP+5(current US$)None
1540360CHN2021PairGDP (current US$)+826.521259GDP+8(current US$)None
1540361CHN2021PairGDP (current US$)+1312.731623GDP+13(current US$)None
1540362CHN2021PairGDP (current US$)+213.356853GDP+21(current US$)None
\n", + "

1372098 rows × 8 columns

\n", + "
" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity \n", + "4 Access to electricity, rural \n", + "... ... \n", + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", + "\n", + " Units Other specification \n", + "0 (% of population) None \n", + "1 (% of rural population) None \n", + "2 (% of urban population) None \n", + "3 (% of population) None \n", + "4 (% of rural population) None \n", + "... ... ... \n", + "1540358 (current US$) None \n", + "1540359 (current US$) None \n", + "1540360 (current US$) None \n", + "1540361 (current US$) None \n", + "1540362 (current US$) None \n", + "\n", + "[1372098 rows x 8 columns]" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Categorization2[['Units','Other specification']]=Categorization2['Units'].str.split(\"\\) \", n=1,expand=True)\n", + "Categorization2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "At the end of the variable name, separated by the last \",\" it is informing us about to which subgroup makes reference the variable. Thus, there are some indicators that have information divided for small groups. This information is shown as a new column named 'Subgroup'." + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator0Short indicatorUnitsOther specificationSubgroup
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of population)NoneNaN
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of rural population)Nonerural
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of urban population)Noneurban
3DEU1990EuropeAccess to electricity (% of population)1.000000Access to electricity(% of population)NoneNaN
4DEU1990EuropeAccess to electricity, rural (% of rural popul...1.000000Access to electricity, rural(% of rural population)Nonerural
..............................
1540358CHN2021PairGDP (current US$)+338.504955GDP+3(current US$)NoneNaN
1540359CHN2021PairGDP (current US$)+531.129362GDP+5(current US$)NoneNaN
1540360CHN2021PairGDP (current US$)+826.521259GDP+8(current US$)NoneNaN
1540361CHN2021PairGDP (current US$)+1312.731623GDP+13(current US$)NoneNaN
1540362CHN2021PairGDP (current US$)+213.356853GDP+21(current US$)NoneNaN
\n", + "

1372098 rows × 9 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity \n", + "4 Access to electricity, rural \n", + "... ... \n", + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", + "\n", + " Units Other specification Subgroup \n", + "0 (% of population) None NaN \n", + "1 (% of rural population) None rural \n", + "2 (% of urban population) None urban \n", + "3 (% of population) None NaN \n", + "4 (% of rural population) None rural \n", + "... ... ... ... \n", + "1540358 (current US$) None NaN \n", + "1540359 (current US$) None NaN \n", + "1540360 (current US$) None NaN \n", + "1540361 (current US$) None NaN \n", + "1540362 (current US$) None NaN \n", + "\n", + "[1372098 rows x 9 columns]" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Categorization2[['Subgroup']]=Categorization2['Short indicator'].str.extract(',(?P[^,]*?)$')\n", + "Categorization2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As before, information which is shown as a new column is deleted from the origin one." + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator0Short indicatorUnitsOther specificationSubgroup
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of population)NoneNaN
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of rural population)Nonerural
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of urban population)Noneurban
3DEU1990EuropeAccess to electricity (% of population)1.000000Access to electricity(% of population)NoneNaN
4DEU1990EuropeAccess to electricity, rural (% of rural popul...1.000000Access to electricity(% of rural population)Nonerural
..............................
1540358CHN2021PairGDP (current US$)+338.504955GDP+3(current US$)NoneNaN
1540359CHN2021PairGDP (current US$)+531.129362GDP+5(current US$)NoneNaN
1540360CHN2021PairGDP (current US$)+826.521259GDP+8(current US$)NoneNaN
1540361CHN2021PairGDP (current US$)+1312.731623GDP+13(current US$)NoneNaN
1540362CHN2021PairGDP (current US$)+213.356853GDP+21(current US$)NoneNaN
\n", + "

1372098 rows × 9 columns

\n", + "
" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity \n", + "4 Access to electricity \n", + "... ... \n", + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", + "\n", + " Units Other specification Subgroup \n", + "0 (% of population) None NaN \n", + "1 (% of rural population) None rural \n", + "2 (% of urban population) None urban \n", + "3 (% of population) None NaN \n", + "4 (% of rural population) None rural \n", + "... ... ... ... \n", + "1540358 (current US$) None NaN \n", + "1540359 (current US$) None NaN \n", + "1540360 (current US$) None NaN \n", + "1540361 (current US$) None NaN \n", + "1540362 (current US$) None NaN \n", + "\n", + "[1372098 rows x 9 columns]" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Categorization2['Short indicator']=Categorization2['Short indicator'].str.replace(',(?P[^,]*?)$',\"\")\n", + "Categorization2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "All the indicators don't have these elements. So, a checking point is needed." + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "Categorization2['Subgroup']=Categorization2['Subgroup'].replace(['None'],['total'])\n", + "Categorization2['Subgroup']=Categorization2['Subgroup'].fillna('total')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are some duplicate variables which should be removed too." + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicator0Short indicatorUnitsOther specificationSubgroup
0DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of population)Nonetotal
1DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of rural population)Nonerural
2DEU1990EuropeAccess to clean fuels and technologies for coo...1.000000Access to clean fuels and technologies for coo...(% of urban population)Noneurban
3DEU1990EuropeAccess to electricity (% of population)1.000000Access to electricity(% of population)Nonetotal
4DEU1990EuropeAccess to electricity, rural (% of rural popul...1.000000Access to electricity(% of rural population)Nonerural
..............................
1540358CHN2021PairGDP (current US$)+338.504955GDP+3(current US$)Nonetotal
1540359CHN2021PairGDP (current US$)+531.129362GDP+5(current US$)Nonetotal
1540360CHN2021PairGDP (current US$)+826.521259GDP+8(current US$)Nonetotal
1540361CHN2021PairGDP (current US$)+1312.731623GDP+13(current US$)Nonetotal
1540362CHN2021PairGDP (current US$)+213.356853GDP+21(current US$)Nonetotal
\n", + "

1157276 rows × 9 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "1 DEU 1990 Europe \n", + "2 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "4 DEU 1990 Europe \n", + "... ... ... ... \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator 0 \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "1 Access to clean fuels and technologies for coo... 1.000000 \n", + "2 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity (% of population) 1.000000 \n", + "4 Access to electricity, rural (% of rural popul... 1.000000 \n", + "... ... ... \n", + "1540358 GDP (current US$)+3 38.504955 \n", + "1540359 GDP (current US$)+5 31.129362 \n", + "1540360 GDP (current US$)+8 26.521259 \n", + "1540361 GDP (current US$)+13 12.731623 \n", + "1540362 GDP (current US$)+21 3.356853 \n", + "\n", + " Short indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "1 Access to clean fuels and technologies for coo... \n", + "2 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity \n", + "4 Access to electricity \n", + "... ... \n", + "1540358 GDP+3 \n", + "1540359 GDP+5 \n", + "1540360 GDP+8 \n", + "1540361 GDP+13 \n", + "1540362 GDP+21 \n", + "\n", + " Units Other specification Subgroup \n", + "0 (% of population) None total \n", + "1 (% of rural population) None rural \n", + "2 (% of urban population) None urban \n", + "3 (% of population) None total \n", + "4 (% of rural population) None rural \n", + "... ... ... ... \n", + "1540358 (current US$) None total \n", + "1540359 (current US$) None total \n", + "1540360 (current US$) None total \n", + "1540361 (current US$) None total \n", + "1540362 (current US$) None total \n", + "\n", + "[1157276 rows x 9 columns]" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Categorization2.drop_duplicates(subset=['Country','Year','Short indicator','Continent','Subgroup'], keep='first')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Reordering columns, categorization3 is our df after all these division in categories." + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountryYearContinentIndicatorShort indicatorValueSubgroupUnitsOther specification
0DEU1990EuropeAccess to clean fuels and technologies for coo...Access to clean fuels and technologies for coo...1.000000total(% of population)None
1DEU1990EuropeAccess to clean fuels and technologies for coo...Access to clean fuels and technologies for coo...1.000000rural(% of rural population)None
2DEU1990EuropeAccess to clean fuels and technologies for coo...Access to clean fuels and technologies for coo...1.000000urban(% of urban population)None
3DEU1990EuropeAccess to electricity (% of population)Access to electricity1.000000total(% of population)None
4DEU1990EuropeAccess to electricity, rural (% of rural popul...Access to electricity1.000000rural(% of rural population)None
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1540358CHN2021PairGDP (current US$)+3GDP+338.504955total(current US$)None
1540359CHN2021PairGDP (current US$)+5GDP+531.129362total(current US$)None
1540360CHN2021PairGDP (current US$)+8GDP+826.521259total(current US$)None
1540361CHN2021PairGDP (current US$)+13GDP+1312.731623total(current US$)None
1540362CHN2021PairGDP (current US$)+21GDP+213.356853total(current US$)None
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1372098 rows × 9 columns

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CountryYearContinentIndicatorShort indicatorValueSubgroupUnitsOther specification
0DEU1990EuropeAccess to clean fuels and technologies for coo...Access to clean fuels and technologies for coo...1.000000total(% of population)None
3DEU1990EuropeAccess to electricity (% of population)Access to electricity1.000000total(% of population)None
6DEU1990EuropeAccount ownership at a financial institution o...Account ownership at a financial institution o...1.000000total(% of population ages 15+)None
20DEU1990EuropeAdjusted net national income (current US$)Adjusted net national income1.000000total(current US$)None
23DEU1990EuropeAdjusted net national income per capita (curre...Adjusted net national income per capita1.000000total(current US$)None
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1540358CHN2021PairGDP (current US$)+3GDP+338.504955total(current US$)None
1540359CHN2021PairGDP (current US$)+5GDP+531.129362total(current US$)None
1540360CHN2021PairGDP (current US$)+8GDP+826.521259total(current US$)None
1540361CHN2021PairGDP (current US$)+13GDP+1312.731623total(current US$)None
1540362CHN2021PairGDP (current US$)+21GDP+213.356853total(current US$)None
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687830 rows × 9 columns

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" + ], + "text/plain": [ + " Country Year Continent \\\n", + "0 DEU 1990 Europe \n", + "3 DEU 1990 Europe \n", + "6 DEU 1990 Europe \n", + "20 DEU 1990 Europe \n", + "23 DEU 1990 Europe \n", + "... ... ... ... \n", + "1540358 CHN 2021 Pair \n", + "1540359 CHN 2021 Pair \n", + "1540360 CHN 2021 Pair \n", + "1540361 CHN 2021 Pair \n", + "1540362 CHN 2021 Pair \n", + "\n", + " Indicator \\\n", + "0 Access to clean fuels and technologies for coo... \n", + "3 Access to electricity (% of population) \n", + "6 Account ownership at a financial institution o... \n", + "20 Adjusted net national income (current US$) \n", + "23 Adjusted net national income per capita (curre... \n", + "... ... \n", + "1540358 GDP (current US$)+3 \n", + "1540359 GDP (current US$)+5 \n", + "1540360 GDP (current US$)+8 \n", + "1540361 GDP (current US$)+13 \n", + "1540362 GDP (current US$)+21 \n", + "\n", + " Short indicator Value \\\n", + "0 Access to clean fuels and technologies for coo... 1.000000 \n", + "3 Access to electricity 1.000000 \n", + "6 Account ownership at a financial institution o... 1.000000 \n", + "20 Adjusted net national income 1.000000 \n", + "23 Adjusted net national income per capita 1.000000 \n", + "... ... ... \n", + "1540358 GDP+3 38.504955 \n", + "1540359 GDP+5 31.129362 \n", + "1540360 GDP+8 26.521259 \n", + "1540361 GDP+13 12.731623 \n", + "1540362 GDP+21 3.356853 \n", + "\n", + " Subgroup Units Other specification \n", + "0 total (% of population) None \n", + "3 total (% of population) None \n", + "6 total (% of population ages 15+) None \n", + "20 total (current US$) None \n", + "23 total (current US$) None \n", + "... ... ... ... \n", + "1540358 total (current US$) None \n", + "1540359 total (current US$) None \n", + "1540360 total (current US$) None \n", + "1540361 total (current US$) None \n", + "1540362 total (current US$) None \n", + "\n", + "[687830 rows x 9 columns]" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Categorization4=Categorization3.loc[Categorization3['Subgroup']=='total']\n", + "Categorization4" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "Categorization4.to_csv(os.getcwd()+'/Data/Categorization.csv')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.10.4 64-bit", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.4" + }, + "vscode": { + "interpreter": { + "hash": "e21cf16a31979fe9d2d6e9786ebc932e404e707404f15260e38504afc6c53159" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/WDI-Spurious.ipynb b/WDI-Spurious.ipynb new file mode 100644 index 0000000..58c3716 --- /dev/null +++ b/WDI-Spurious.ipynb @@ -0,0 +1,958 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Spurious correlations" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Import libraries and functions." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import glob\n", + "import os\n", + "from zipfile import ZipFile\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")\n", + "import functools as ft\n", + "import ipywidgets as widgets\n", + "from ipywidgets import Layout\n", + "from ipywidgets import interact, interact_manual\n", + "import plotly.express as px\n", + "from scipy import stats\n", + "from scipy.stats import shapiro\n", + "from scipy.stats import pearsonr\n", + "from scipy.stats import spearmanr\n", + "from pandas.api.types import is_numeric_dtype" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "However, there is an interesting phenomenon, in some cases there are correlations that have a high coefficient and also an adequate graphics, but they do not make sense in the analysis, these are called **spurious correlations**. Here are some examples:\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Therefore, we have to be carefull with our results because correlation does not imply causation, it may have happened by chance that both variables are really similar.\n", + "So, after some thought and experimenting, we have developed a method that we think, it will allow us to find out if the correlation has happened by chance or if there is really a correlation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This method, consists of the following:\n", + "\n", + "\n", + "Firstly we have classified the indicators by a group, which can be one of the following: *A&D*, *Agriculture*, *Demography*, *Economy*, *Employment*, *Environment*, *Equality*, *Exports*, *Health*, *Mortality* or *Principal*. Moreover inside each group we have also assigned each varible a level, *primary* or *secondary*, depending on their level of relevance. For example we have consider more relevant the *Population in the largest city* over the *Rural population*, thus the first will be *primary* and the latter *secondary*, while both are part of the *Demography* group. \n", + "\n", + "With this set, we can expose our hypothesis:\n", + "\n", + "\"It is assumed that the correlation in the primary indicators can be caused by randomness, however if this correlation also appears in the secondary indicators for at least X% of the countries that appears in the primaries (Pareto's rule), we can suppose that there is no randomness affecting each group. Furthermore, the first assumption has to happen in Y% of the secondary indicators to avoid any fortuity.\" \n", + "\n", + "This hypothesis can be used in a global level, all the countries, or in the different regions. \n", + "\n", + "For example if, X and Y =80% a primary indicator is repeated 20 times the secondary indicators must have repeated 18 times. And if there are 10 secondary indicators, it has to happen for, at least, 8 indicators.\n", + "\n", + "Finally, we will finish with two possible errors of 20%, which combined (20%*20%), leaves us with a 4% of margin of error, which is lower than the wildly spread of 5%.\n", + "\n", + "**This will only work if the data has been collected by independent sources and uses different methods to collect it. Therefore, this step has only been developed for this data (WDI), which we have checked that comes from different sources and is gathered differently.**\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e154ff7a4c684bebb8a1f62906fac3fe", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.8, continuous_update=False, description='% of primary indicators:', max=1.0, step=0.05)" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1436ccab37804d3e82fbc5b3bd07c8f9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FloatSlider(value=0.8, continuous_update=False, description='% of secondary indicators:', max=1.0, step=0.05)" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "limita=widgets.FloatSlider( value=0.8, min=0, max=1.0, step=0.05, description='% of primary indicators:', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", + "limitb=widgets.FloatSlider( value=0.8, min=0, max=1.0, step=0.05, description='% of secondary indicators:', disabled=False, continuous_update=False, orientation='horizontal', readout=True)\n", + "display(limita,limitb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The margin of error in this combination is: 3.9999999999999982\n" + ] + } + ], + "source": [ + "a=(1-limita.value)*(1-limitb.value)*100\n", + "print('The margin of error in this combination is:',a)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Once we have selected both percentages and we agree with the margin of error, we can proceed to put into action our method. Firstly, we filter the primary indicators and get the minimun of times thatthe secondary have to be repeated." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Min
Group
A&D13.0
Agriculture10.0
Demography24.0
Economy26.0
Employment11.0
Environment13.0
Equality14.0
Exports28.0
Health9.0
Internet27.0
Mortality14.0
Principal23.0
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" + ], + "text/plain": [ + " Min\n", + "Group \n", + "A&D 13.0\n", + "Agriculture 10.0\n", + "Demography 24.0\n", + "Economy 26.0\n", + "Employment 11.0\n", + "Environment 13.0\n", + "Equality 14.0\n", + "Exports 28.0\n", + "Health 9.0\n", + "Internet 27.0\n", + "Mortality 14.0\n", + "Principal 23.0" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "selected_p=categories.loc[categories['Level']=='primary']\n", + "minprimary=selected_p.groupby('Group').min()\n", + "minprimary['Min']=round(minprimary['Number of times repeated']*limita.value)\n", + "minprimary.drop(columns=['Indicator','Number of times repeated','Level'], inplace=True)\n", + "minprimary\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "grouplist=minprimary.index.to_list()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then, we test if the repetition are accomplished. \n", + "\n", + "- H_0 data has correlation buy has not happened by randomness.\n", + "- H_1 data has correlation due to randomness \n", + "\n", + "**If Number of times repeated the secondary indicator < Minimun per group, then H_0 denied and H_1 accepted**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Does it have some global casuallity implied?% of count (Global)
Group
AgricultureNo100.000000
DemographyNo100.000000
EconomyYes71.039604
EmploymentNo100.000000
EnvironmentNo100.000000
EqualityNo100.000000
ExportsNo82.379863
HealthNo100.000000
InternetYes37.190083
MortalityNo100.000000
PrincipalNo100.000000
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" + ], + "text/plain": [ + " Does it have some global casuallity implied? % of count (Global)\n", + "Group \n", + "Agriculture No 100.000000\n", + "Demography No 100.000000\n", + "Economy Yes 71.039604\n", + "Employment No 100.000000\n", + "Environment No 100.000000\n", + "Equality No 100.000000\n", + "Exports No 82.379863\n", + "Health No 100.000000\n", + "Internet Yes 37.190083\n", + "Mortality No 100.000000\n", + "Principal No 100.000000" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "secondary=final.loc[final['Level']=='secondary']\n", + "secondary=pd.merge(secondary,minprimary, left_on='Group',right_on='Group')\n", + "secondaryp=secondary.loc[:,['Group','Min']]\n", + "Global_Count=secondaryp.groupby('Group').count()\n", + "Global_Count.rename(columns={'Min':'Global Count'},inplace=True)\n", + "secondary['H_0']=np.where(secondary['Number of times repeated']-secondary['Min']>0,'Not Discarded', 'Denied')\n", + "seco=secondary.groupby(['H_0','Group']).count()\n", + "sec=seco.loc['Not Discarded']\n", + "secondarycount=sec.drop(columns=['Indicator','R^2 Spearman','Behaviour','Country','Moved','Type','Continent','Number of times repeated','Level'])\n", + "secondarycount.rename(columns={'Min':'Secondary Count'},inplace=True)\n", + "continentlist=final['Continent'].unique()\n", + "namescontinents=['European', 'North African', 'Asian', 'Pair', 'Persian', 'South African', 'Latino-American']\n", + "finalcount=pd.merge(Global_Count,secondarycount, left_on='Group',right_on='Group')\n", + "finalcount['Does it have some global casuallity implied?']=np.where(finalcount['Secondary Count']/finalcount['Global Count']>limitb.value,'No', 'Yes')\n", + "finalcount['% of count (Global)']=finalcount['Secondary Count']/finalcount['Global Count']*100\n", + "finalcount.drop(columns=['Global Count','Secondary Count'],inplace=True)\n", + "finalcount" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As we can see, in a Global situation for the groups that have a **NO**, we do not need to worry about casualities, however for the rest of the groups correlation can still be a great indicator as a basis for decision making, if we carefully analyze the variables and found some sort of real relationship between them. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Does it have some global casuallity implied?% of count (Global)Does it have some European casuallity implied?% of count (European)Does it have some North African casuallity implied?% of count (North African)Does it have some Asian casuallity implied?% of count (Asian)Does it have some Pair casuallity implied?% of count (Pair)Does it have some Persian casuallity implied?% of count (Persian)Does it have some South African casuallity implied?% of count (South African)Does it have some Latino-American casuallity implied?% of count (Latino-American)
Group
AgricultureNo100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000
DemographyNo100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000
EconomyYes71.039604Yes75.799087Yes71.812081Yes72.794118Yes70.348837Yes66.968326Yes70.542636Yes66.666667
EmploymentNo100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000
EnvironmentNo100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000
EqualityNo100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000
ExportsNo82.379863Yes77.142857No80.701754No86.842105No84.000000No86.075949No83.333333No83.333333
HealthNo100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000
InternetYes37.190083Yes47.619048Yes35.294118Yes26.315789Yes42.857143Yes36.842105Yes37.500000Yes28.571429
MortalityNo100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000
PrincipalNo100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000No100.000000
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" + ], + "text/plain": [ + " Does it have some global casuallity implied? % of count (Global) \\\n", + "Group \n", + "Agriculture No 100.000000 \n", + "Demography No 100.000000 \n", + "Economy Yes 71.039604 \n", + "Employment No 100.000000 \n", + "Environment No 100.000000 \n", + "Equality No 100.000000 \n", + "Exports No 82.379863 \n", + "Health No 100.000000 \n", + "Internet Yes 37.190083 \n", + "Mortality No 100.000000 \n", + "Principal No 100.000000 \n", + "\n", + " Does it have some European casuallity implied? \\\n", + "Group \n", + "Agriculture No \n", + "Demography No \n", + "Economy Yes \n", + "Employment No \n", + "Environment No \n", + "Equality No \n", + "Exports Yes \n", + "Health No \n", + "Internet Yes \n", + "Mortality No \n", + "Principal No \n", + "\n", + " % of count (European) \\\n", + "Group \n", + "Agriculture 100.000000 \n", + "Demography 100.000000 \n", + "Economy 75.799087 \n", + "Employment 100.000000 \n", + "Environment 100.000000 \n", + "Equality 100.000000 \n", + "Exports 77.142857 \n", + "Health 100.000000 \n", + "Internet 47.619048 \n", + "Mortality 100.000000 \n", + "Principal 100.000000 \n", + "\n", + " Does it have some North African casuallity implied? \\\n", + "Group \n", + "Agriculture No \n", + "Demography No \n", + "Economy Yes \n", + "Employment No \n", + "Environment No \n", + "Equality No \n", + "Exports No \n", + "Health No \n", + "Internet Yes \n", + "Mortality No \n", + "Principal No \n", + "\n", + " % of count (North African) \\\n", + "Group \n", + "Agriculture 100.000000 \n", + "Demography 100.000000 \n", + "Economy 71.812081 \n", + "Employment 100.000000 \n", + "Environment 100.000000 \n", + "Equality 100.000000 \n", + "Exports 80.701754 \n", + "Health 100.000000 \n", + "Internet 35.294118 \n", + "Mortality 100.000000 \n", + "Principal 100.000000 \n", + "\n", + " Does it have some Asian casuallity implied? % of count (Asian) \\\n", + "Group \n", + "Agriculture No 100.000000 \n", + "Demography No 100.000000 \n", + "Economy Yes 72.794118 \n", + "Employment No 100.000000 \n", + "Environment No 100.000000 \n", + "Equality No 100.000000 \n", + "Exports No 86.842105 \n", + "Health No 100.000000 \n", + "Internet Yes 26.315789 \n", + "Mortality No 100.000000 \n", + "Principal No 100.000000 \n", + "\n", + " Does it have some Pair casuallity implied? % of count (Pair) \\\n", + "Group \n", + "Agriculture No 100.000000 \n", + "Demography No 100.000000 \n", + "Economy Yes 70.348837 \n", + "Employment No 100.000000 \n", + "Environment No 100.000000 \n", + "Equality No 100.000000 \n", + "Exports No 84.000000 \n", + "Health No 100.000000 \n", + "Internet Yes 42.857143 \n", + "Mortality No 100.000000 \n", + "Principal No 100.000000 \n", + "\n", + " Does it have some Persian casuallity implied? \\\n", + "Group \n", + "Agriculture No \n", + "Demography No \n", + "Economy Yes \n", + "Employment No \n", + "Environment No \n", + "Equality No \n", + "Exports No \n", + "Health No \n", + "Internet Yes \n", + "Mortality No \n", + "Principal No \n", + "\n", + " % of count (Persian) \\\n", + "Group \n", + "Agriculture 100.000000 \n", + "Demography 100.000000 \n", + "Economy 66.968326 \n", + "Employment 100.000000 \n", + "Environment 100.000000 \n", + "Equality 100.000000 \n", + "Exports 86.075949 \n", + "Health 100.000000 \n", + "Internet 36.842105 \n", + "Mortality 100.000000 \n", + "Principal 100.000000 \n", + "\n", + " Does it have some South African casuallity implied? \\\n", + "Group \n", + "Agriculture No \n", + "Demography No \n", + "Economy Yes \n", + "Employment No \n", + "Environment No \n", + "Equality No \n", + "Exports No \n", + "Health No \n", + "Internet Yes \n", + "Mortality No \n", + "Principal No \n", + "\n", + " % of count (South African) \\\n", + "Group \n", + "Agriculture 100.000000 \n", + "Demography 100.000000 \n", + "Economy 70.542636 \n", + "Employment 100.000000 \n", + "Environment 100.000000 \n", + "Equality 100.000000 \n", + "Exports 83.333333 \n", + "Health 100.000000 \n", + "Internet 37.500000 \n", + "Mortality 100.000000 \n", + "Principal 100.000000 \n", + "\n", + " Does it have some Latino-American casuallity implied? \\\n", + "Group \n", + "Agriculture No \n", + "Demography No \n", + "Economy Yes \n", + "Employment No \n", + "Environment No \n", + "Equality No \n", + "Exports No \n", + "Health No \n", + "Internet Yes \n", + "Mortality No \n", + "Principal No \n", + "\n", + " % of count (Latino-American) \n", + "Group \n", + "Agriculture 100.000000 \n", + "Demography 100.000000 \n", + "Economy 66.666667 \n", + "Employment 100.000000 \n", + "Environment 100.000000 \n", + "Equality 100.000000 \n", + "Exports 83.333333 \n", + "Health 100.000000 \n", + "Internet 28.571429 \n", + "Mortality 100.000000 \n", + "Principal 100.000000 " + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "for i in range(0,len(continentlist)):\n", + " apfinal=final.loc[final['Continent']==continentlist[i]]\n", + " \n", + " selected_p=categories.loc[categories['Level']=='primary']\n", + " minprimary=selected_p.groupby('Group').min()\n", + " minprimary['Min']=round(minprimary['Number of times repeated']*limita.value)\n", + " minprimary.drop(columns=['Indicator','Number of times repeated','Level'], inplace=True)\n", + "\n", + " grouplist=minprimary.index.to_list()\n", + "\n", + " secondary=apfinal.loc[apfinal['Level']=='secondary']\n", + " secondary=pd.merge(secondary,minprimary, left_on='Group',right_on='Group')\n", + "\n", + " secondaryp=secondary.loc[:,['Group','Min']]\n", + " Global_Count=secondaryp.groupby('Group').count()\n", + " Global_Count.rename(columns={'Min':'Global Count'},inplace=True)\n", + "\n", + " secondary['H_0']=np.where(secondary['Number of times repeated']-secondary['Min']>0,'Not Discarded', 'Denied')\n", + " seco=secondary.groupby(['H_0','Group']).count()\n", + " sec=seco.loc['Not Discarded']\n", + " secondarycount=sec.drop(columns=['Indicator','R^2 Spearman','Behaviour','Country','Moved','Type','Continent','Number of times repeated','Level'])\n", + " secondarycount.rename(columns={'Min':'Secondary Count'},inplace=True)\n", + "\n", + " apfinalcount=pd.merge(Global_Count,secondarycount, left_on='Group',right_on='Group')\n", + " apfinalcount['Does it have some '+namescontinents[i]+' casuallity implied?']=np.where(apfinalcount['Secondary Count']/apfinalcount['Global Count']>limitb.value,'No', 'Yes')\n", + " apfinalcount['% of count ('+namescontinents[i]+')']=apfinalcount['Secondary Count']/apfinalcount['Global Count']*100\n", + " apfinalcount.drop(columns=['Global Count','Secondary Count'],inplace=True)\n", + " finalcount=pd.merge(finalcount,apfinalcount, left_on='Group',right_on='Group')\n", + "\n", + "finalcount" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we can observe into much more detail the differnt regions that we defined before, and for groups that have a **NO**, we do not need to worry about casualities. Meanwhile, for the rest of the groups correlation can still be a great indicator as a basis for decision making, if we carefully analyze the variables and found some sort of real relationship between them. " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.10.4 64-bit", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.4" + }, + "vscode": { + "interpreter": { + "hash": "e21cf16a31979fe9d2d6e9786ebc932e404e707404f15260e38504afc6c53159" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 4071a7092ad043b6c3276e5e6ef3242b5552dd8d Mon Sep 17 00:00:00 2001 From: amarchve Date: Thu, 4 Aug 2022 10:00:20 +0200 Subject: [PATCH 86/86] New --- Demo overall graphs.ipynb | 102914 ---------- Visualization of correlation (Global).ipynb | 2997 - WDI-Complete code.ipynb | 182283 +---------------- WDI-Data extraction.ipynb | 126 - WDI-Data integration.ipynb | 705 - WDI-Data normalization.ipynb | 3639 - WDI-Data visualization (Case).ipynb | 23619 --- 7 files changed, 868 insertions(+), 315415 deletions(-) delete mode 100644 Demo overall graphs.ipynb delete mode 100644 Visualization of correlation (Global).ipynb delete mode 100644 WDI-Data extraction.ipynb delete mode 100644 WDI-Data integration.ipynb delete mode 100644 WDI-Data normalization.ipynb delete mode 100644 WDI-Data visualization (Case).ipynb diff --git a/Demo overall graphs.ipynb b/Demo overall graphs.ipynb deleted file mode 100644 index 8ac8a99..0000000 --- a/Demo overall graphs.ipynb +++ /dev/null @@ -1,102914 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Graphs for demo" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas as pd\n", - "import plotly.express as px\n", - "import seaborn as sns\n", - "import os" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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0347DEU199012.972510.2245792.25103431.33827666.4124144.922992e+104.045759e+11...NaN3090.86666716.01.478270e+067.8661112.6083681.667000e+0913.3074.552174Europe
1348DEU199112.972510.2245793.48000037.72000158.7900014.842279e+104.422840e+11...NaN5404.00000016.01.478270e+067.8661112.6083682.088000e+0913.3074.552174Europe
2349DEU199212.972510.2245793.40000037.36999959.2300005.465244e+104.730958e+11...NaN5019.00000016.02.628459e+067.8661112.6083682.338000e+0913.3074.552174Europe
3350DEU199312.97259.5829703.35000036.74000259.9199985.254376e+104.207571e+11...NaN4679.00000016.01.478270e+067.8661112.6083682.642000e+0913.3074.552174Europe
4351DEU199412.97259.3955703.26000036.41999860.3200005.468545e+104.655068e+11...NaN4388.00000016.01.478270e+067.8661112.6083683.503000e+0913.3074.552174Europe
..................................................................
1472247CHN20165.820012.26956027.70000128.79999943.5000002.071921e+112.199968e+12...90.167660131852.000000112.7-1.433525e+06NaN2.1003301.431141e+108.20NaNPair
1473248CHN20175.820012.15530026.98000028.11000144.9100002.113642e+112.424200e+12...90.167660120075.000000112.7-1.741996e+06NaN2.1160301.431141e+108.10NaNPair
1474249CHN20187.050011.45069026.07000028.32000045.6100012.318095e+112.655592e+12...96.840889109028.000000112.7-1.433525e+06NaN2.1405801.431141e+108.10NaNPair
1475250CHN20195.820013.03755325.33000027.42000047.2500002.427723e+112.628935e+12...90.16766098805.000000112.7-1.433525e+06NaN1.4272391.431141e+108.10NaNPair
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1477 rows × 26 columns

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" - ], - "text/plain": [ - " Unnamed: 0 Country Year Alcohol per capita Education GExp \\\n", - "0 347 DEU 1990 12.9725 10.224579 \n", - "1 348 DEU 1991 12.9725 10.224579 \n", - "2 349 DEU 1992 12.9725 10.224579 \n", - "3 350 DEU 1993 12.9725 9.582970 \n", - "4 351 DEU 1994 12.9725 9.395570 \n", - "... ... ... ... ... ... \n", - "1472 247 CHN 2016 5.8200 12.269560 \n", - "1473 248 CHN 2017 5.8200 12.155300 \n", - "1474 249 CHN 2018 7.0500 11.450690 \n", - "1475 250 CHN 2019 5.8200 13.037553 \n", - "1476 251 CHN 2020 5.8200 13.037553 \n", - "\n", - " Employment-agriculture Employment-industry Employment-services \\\n", - "0 2.251034 31.338276 66.412414 \n", - "1 3.480000 37.720001 58.790001 \n", - "2 3.400000 37.369999 59.230000 \n", - "3 3.350000 36.740002 59.919998 \n", - "4 3.260000 36.419998 60.320000 \n", - "... ... ... ... \n", - "1472 27.700001 28.799999 43.500000 \n", - "1473 26.980000 28.110001 44.910000 \n", - "1474 26.070000 28.320000 45.610001 \n", - "1475 25.330000 27.420000 47.250000 \n", - "1476 42.551724 25.390690 32.057586 \n", - "\n", - " Exports-Commercial services Exports-G&S ... Literacy rate \\\n", - "0 4.922992e+10 4.045759e+11 ... NaN \n", - "1 4.842279e+10 4.422840e+11 ... NaN \n", - "2 5.465244e+10 4.730958e+11 ... NaN \n", - "3 5.254376e+10 4.207571e+11 ... NaN \n", - "4 5.468545e+10 4.655068e+11 ... NaN \n", - "... ... ... ... ... \n", - "1472 2.071921e+11 2.199968e+12 ... 90.167660 \n", - "1473 2.113642e+11 2.424200e+12 ... 90.167660 \n", - "1474 2.318095e+11 2.655592e+12 ... 96.840889 \n", - "1475 2.427723e+11 2.628935e+12 ... 90.167660 \n", - "1476 2.327021e+11 2.723250e+12 ... 90.167660 \n", - "\n", - " Mortality-infants Mortality-pollution Net migration Ninis \\\n", - "0 3090.866667 16.0 1.478270e+06 7.866111 \n", - "1 5404.000000 16.0 1.478270e+06 7.866111 \n", - "2 5019.000000 16.0 2.628459e+06 7.866111 \n", - "3 4679.000000 16.0 1.478270e+06 7.866111 \n", - "4 4388.000000 16.0 1.478270e+06 7.866111 \n", - "... ... ... ... ... \n", - "1472 131852.000000 112.7 -1.433525e+06 NaN \n", - "1473 120075.000000 112.7 -1.741996e+06 NaN \n", - "1474 109028.000000 112.7 -1.433525e+06 NaN \n", - "1475 98805.000000 112.7 -1.433525e+06 NaN \n", - "1476 89463.000000 112.7 -1.433525e+06 NaN \n", - "\n", - " R&D GExp Renewable electricity Suicide Workers high education \\\n", - "0 2.608368 1.667000e+09 13.30 74.552174 \n", - "1 2.608368 2.088000e+09 13.30 74.552174 \n", - "2 2.608368 2.338000e+09 13.30 74.552174 \n", - "3 2.608368 2.642000e+09 13.30 74.552174 \n", - "4 2.608368 3.503000e+09 13.30 74.552174 \n", - "... ... ... ... ... \n", - "1472 2.100330 1.431141e+10 8.20 NaN \n", - "1473 2.116030 1.431141e+10 8.10 NaN \n", - "1474 2.140580 1.431141e+10 8.10 NaN \n", - "1475 1.427239 1.431141e+10 8.10 NaN \n", - "1476 1.427239 1.431141e+10 10.51 NaN \n", - "\n", - " Continent \n", - "0 Europe \n", - "1 Europe \n", - "2 Europe \n", - "3 Europe \n", - "4 Europe \n", - "... ... \n", - "1472 Pair \n", - "1473 Pair \n", - "1474 Pair \n", - "1475 Pair \n", - "1476 Pair \n", - "\n", - "[1477 rows x 26 columns]" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df= pd.DataFrame(pd.read_csv(os.getcwd()+ \"/Data/\"+\"GoldenDataFrame.csv\"))\n", - "df" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the following cell we are going to define all the variables that we have and want to compare with the GDP" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "variables=['Gender equality','Exports-Commercial services','Renewable electricity','Employment-agriculture','Employment-industry','Employment-services','Exports-G&S','Fertility rate','Foreign investment','Education GExp','Workers high education','Literacy rate','Mortality-pollution','Net migration','Mortality-infants','Health services use','R&D GExp','Ninis','Suicide','International taxes','Alcohol per capita']" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - " Moreover,we are going to provide a scatterplot of all posible variations of the data to see if there are any relationships between them as well as histograms." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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 Unnamed: 0YearAlcohol per capitaEducation GExpEmployment-agricultureEmployment-industryEmployment-servicesExports-Commercial servicesExports-G&SFertility rateForeign investmentGDPGender equalityHealth services useInternational taxesLiteracy rateMortality-infantsMortality-pollutionNet migrationNinisR&D GExpRenewable electricitySuicideWorkers high education
Unnamed: 01.0000000.019877-0.1179140.2087430.043612-0.078586-0.0192120.025018-0.0208560.1978640.0791500.070815-0.226796-0.053614-0.018592-0.144043-0.0501340.1137300.1884620.129553-0.0590080.0624810.0481310.038948
Year0.0198771.0000000.0035680.003605-0.1549980.0179190.1922250.2335630.256772-0.222668-0.0513980.157381-0.0150980.0640570.1033940.031291-0.0988300.0026660.006420-0.0243280.0508590.136225-0.011579-0.040452
Alcohol per capita-0.1179140.0035681.000000-0.300681-0.4076740.1763320.4191620.3896290.352551-0.4432340.1606510.2479330.0062250.291795-0.1635260.427703-0.055892-0.3089520.319085-0.6767230.4384340.2710020.5182740.207073
Education GExp0.2087430.003605-0.3006811.0000000.230819-0.276716-0.156344-0.221611-0.1847310.248518-0.102232-0.129283-0.065926-0.2483860.100123-0.150013-0.0667300.155575-0.1640400.312791-0.264417-0.125841-0.0299350.065043
Employment-agriculture0.043612-0.154998-0.4076740.2308191.000000-0.655428-0.936963-0.322845-0.2897720.564017-0.178304-0.2200060.222188-0.8171400.066569-0.6229530.3685820.704718-0.4590630.393902-0.482398-0.217153-0.213016-0.049262
Employment-industry-0.0785860.0179190.176332-0.276716-0.6554281.0000000.3547430.1236080.187650-0.5778260.0178050.1023910.1619840.667184-0.0142930.529376-0.158150-0.5348840.199263-0.2986900.2163750.0641490.2328890.042099
Employment-services-0.0192120.1922250.419162-0.156344-0.9369630.3547431.0000000.3413240.270584-0.4325880.2102860.225371-0.3136980.702957-0.0784790.528697-0.384806-0.6246230.478032-0.3653260.4790460.2375530.1484630.043815
Exports-Commercial services0.0250180.2335630.389629-0.221611-0.3228450.1236080.3413241.0000000.871731-0.3056540.1417090.8694890.0063020.270483-0.0454170.202589-0.020433-0.2677400.602334-0.3216580.4705130.7665570.2638940.007372
Exports-G&S-0.0208560.2567720.352551-0.184731-0.2897720.1876500.2705840.8717311.000000-0.3261820.0317040.8752330.0703110.258878-0.0080110.181418-0.024627-0.2255470.455150-0.3576530.4689860.7291530.2549990.007270
Fertility rate0.197864-0.222668-0.4432340.2485180.564017-0.577826-0.432588-0.305654-0.3261821.000000-0.022310-0.221499-0.585553-0.711077-0.049193-0.7656070.1545500.741216-0.1613220.571657-0.391923-0.204778-0.303122-0.160760
Foreign investment0.079150-0.0513980.160651-0.102232-0.1783040.0178050.2102860.1417090.031704-0.0223101.0000000.004838-0.1367160.111193-0.034543-0.088726-0.114495-0.1354960.296592-0.1701430.1838840.1810010.124718-0.009456
GDP0.0708150.1573810.247933-0.129283-0.2200060.1023910.2253710.8694890.875233-0.2214990.0048381.000000-0.0094840.185386-0.0178060.1335910.004512-0.1715650.601395-0.2088740.3745660.7802990.183871-0.018627
Gender equality-0.226796-0.0150980.006225-0.0659260.2221880.161984-0.3136980.0063020.070311-0.585553-0.136716-0.0094841.0000000.251628-0.0588980.615286-0.082477-0.569214-0.113754-0.615597-0.016683-0.040664-0.000291-0.073308
Health services use-0.0536140.0640570.291795-0.248386-0.8171400.6671840.7029570.2704830.258878-0.7110770.1111930.1853860.2516281.000000-0.0607500.757966-0.363231-0.8282120.355327-0.4598000.3910760.1579000.1417930.052584
International taxes-0.0185920.103394-0.1635260.1001230.066569-0.014293-0.078479-0.045417-0.008011-0.049193-0.034543-0.017806-0.058898-0.0607501.0000000.1169380.0310070.072819-0.0984740.124670-0.061600-0.020631-0.0389100.080421
Literacy rate-0.1440430.0312910.427703-0.150013-0.6229530.5293760.5286970.2025890.181418-0.765607-0.0887260.1335910.6152860.7579660.1169381.000000-0.232806-0.6942670.212623-0.5394130.2012430.1261590.1263090.196954
Mortality-infants-0.050134-0.098830-0.055892-0.0667300.368582-0.158150-0.384806-0.020433-0.0246270.154550-0.1144950.004512-0.082477-0.3632310.031007-0.2328061.0000000.434229-0.3329470.223247-0.0934910.0114250.071272-0.235700
Mortality-pollution0.1137300.002666-0.3089520.1555750.704718-0.534884-0.624623-0.267740-0.2255470.741216-0.135496-0.171565-0.569214-0.8282120.072819-0.6942670.4342291.000000-0.3624840.502968-0.441051-0.170879-0.242762-0.169108
Net migration0.1884620.0064200.319085-0.164040-0.4590630.1992630.4780320.6023340.455150-0.1613220.2965920.601395-0.1137540.355327-0.0984740.212623-0.332947-0.3624841.000000-0.2808190.3860820.6001750.2177930.114323
Ninis0.129553-0.024328-0.6767230.3127910.393902-0.298690-0.365326-0.321658-0.3576530.571657-0.170143-0.208874-0.615597-0.4598000.124670-0.5394130.2232470.502968-0.2808191.000000-0.543981-0.207203-0.333862-0.202677
R&D GExp-0.0590080.0508590.438434-0.264417-0.4823980.2163750.4790460.4705130.468986-0.3919230.1838840.374566-0.0166830.391076-0.0616000.201243-0.093491-0.4410510.386082-0.5439811.0000000.3514130.5138510.093306
Renewable electricity0.0624810.1362250.271002-0.125841-0.2171530.0641490.2375530.7665570.729153-0.2047780.1810010.780299-0.0406640.157900-0.0206310.1261590.011425-0.1708790.600175-0.2072030.3514131.0000000.143960-0.030940
Suicide0.048131-0.0115790.518274-0.029935-0.2130160.2328890.1484630.2638940.254999-0.3031220.1247180.183871-0.0002910.141793-0.0389100.1263090.071272-0.2427620.217793-0.3338620.5138510.1439601.0000000.012819
Workers high education0.038948-0.0404520.2070730.065043-0.0492620.0420990.0438150.0073720.007270-0.160760-0.009456-0.018627-0.0733080.0525840.0804210.196954-0.235700-0.1691080.114323-0.2026770.093306-0.0309400.0128191.000000
\n" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "corr = df.corr()\n", - "corr.style.background_gradient(cmap='coolwarm')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "g = sns.PairGrid(df, diag_sharey=False, corner=True, hue=\"Continent\")\n", - "g.map_lower(sns.scatterplot)\n", - "g.map_diag(sns.kdeplot,warn_singular=False)\n", - "g.add_legend()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Lastly, we are going to create a loop that will allows us to visualize all the comparasions between the variables and the GDP through the years." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "for i in range(0, len(variables)):\n", - " df[variables[i]]=df[variables[i]]/df['GDP']" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "hovertemplate": "Country=DEU
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"anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "Year" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "title": { - "text": "Alcohol per capita" - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "for i in range(0,len(variables)):\n", - " a=px.line(df, x=\"Year\", y=variables[i], color=\"Country\", width=800, height=600)\n", - " display(a)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.9.12 ('base')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.12" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "db2f77d7771d8a0072cf3f8e7f9965a22a9c65bf4f8ee5135b3d479c9967abaa" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/Visualization of correlation (Global).ipynb b/Visualization of correlation (Global).ipynb deleted file mode 100644 index d51c683..0000000 --- a/Visualization of correlation (Global).ipynb +++ /dev/null @@ -1,2997 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Visualization of correlation (Global)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This notebook has to be read next to the following document (url), and is also complemented by the following notebooks (url)." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import os\n", - "import numpy as np\n", - "import warnings\n", - "warnings.filterwarnings(\"ignore\")\n", - "import ipywidgets as widgets\n", - "from ipywidgets import Layout\n", - "from ipywidgets import interact, interact_manual\n", - "import plotly.express as px" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "df= pd.read_csv (os.getcwd()+'/Data/'+'GoldenDataFrame.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "columns=['Country','Year','Exports-Commercial services','Renewable electricity','Employment-agriculture','Employment-industry','Employment-services','Exports-G&S','Fertility rate','Foreign investment','GDP','Education GExp','Workers high education','Literacy rate','Net migration','Mortality-infants','Health services use','R&D GExp','Ninis','Suicide','International taxes','Alcohol per capita']\n", - "clist=df['Country'].unique()\n", - "countries_by_region = {\n", - " \"Europe\": ('DEU','FRA','SWE','GBR','ESP','HRV','POL','GRC','AUT','NLD'),\n", - " 'Persian Gulf': ('IRQ','QAT','ARE','SAU','AZE','YEM','YDR','OMN'),\n", - " 'North Africa':('DZA','EGY','LBY','ISR','TUR','MAR'),\n", - " 'South Africa':('SEN','ZAF','LBR','MOZ','CMR','NGA','GHA'),\n", - " 'Asia':('BGD','IND','VNM','THA','IDN','PHL','KOR'),\n", - " 'Latam':('MEX','BRA','ARG','PER','VEN','COL','CHL','PCZ','CRI'),\n", - " 'Pair':('USA','CHN')\n", - " }\n", - "\n", - "all_countries = {}\n", - "for region in countries_by_region.keys():\n", - " for country in countries_by_region[region]:\n", - " all_countries[country] = region" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the following cell, we have defined a function that will allow us to calculate the different posibilities of relations: cuadratic, cubic and logaritmic." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "def multcolumn(frame):\n", - " for u in range(3, len(columns)):\n", - " name2=columns[u]+'.^2'\n", - " name3=columns[u]+'.^3'\n", - " namelog=columns[u]+'.log'\n", - " frame.loc[:,name2] = frame[columns[u]]**2\n", - " frame.loc[:,name3] = frame[columns[u]]**3\n", - " frame.loc[:,namelog] = np.log(frame[columns[u]])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Moreover, we want to know the correlation between all the variables, so to acomplish this, we have created the following loop, which will help us create a new dataframe where we will have: the indicator, the type of relation, the value of the r^2, its behaviour, the country and the continent." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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5Exports-G&SNone0.954928PositiveDEUEurope
7Health services useNone0.916594PositiveDEUEurope
4Exports-Commercial servicesNone0.911725PositiveDEUEurope
10Employment-servicesCuadratic0.883525PositiveDEUEurope
12Alcohol per capitaCubic0.875820NegativeDEUEurope
.....................
6SuicideNone0.922759NegativeCHNPair
5Renewable electricityNone0.912560PositiveCHNPair
2Exports-Commercial servicesNone0.879177PositiveCHNPair
14Alcohol per capitaCuadratic0.867314PositiveCHNPair
10Literacy rateCubic0.840397PositiveCHNPair
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444 rows × 6 columns

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" - ], - "text/plain": [ - " Indicator Type GDP-R^2 Behaviour Country \\\n", - "5 Exports-G&S None 0.954928 Positive DEU \n", - "7 Health services use None 0.916594 Positive DEU \n", - "4 Exports-Commercial services None 0.911725 Positive DEU \n", - "10 Employment-services Cuadratic 0.883525 Positive DEU \n", - "12 Alcohol per capita Cubic 0.875820 Negative DEU \n", - ".. ... ... ... ... ... \n", - "6 Suicide None 0.922759 Negative CHN \n", - "5 Renewable electricity None 0.912560 Positive CHN \n", - "2 Exports-Commercial services None 0.879177 Positive CHN \n", - "14 Alcohol per capita Cuadratic 0.867314 Positive CHN \n", - "10 Literacy rate Cubic 0.840397 Positive CHN \n", - "\n", - " Continent \n", - "5 Europe \n", - "7 Europe \n", - "4 Europe \n", - "10 Europe \n", - "12 Europe \n", - ".. ... \n", - "6 Pair \n", - "5 Pair \n", - "2 Pair \n", - "14 Pair \n", - "10 Pair \n", - "\n", - "[444 rows x 6 columns]" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "multcolumn(df)\n", - "demo2=pd.DataFrame()\n", - "for i in range(0,len(clist)):\n", - " dat=df.loc[df.loc[:, 'Country'] == clist[i]]\n", - " cor=dat.corr() \n", - " cor.loc[:,'GDP-R^2'] = cor['GDP']**2\n", - " cor.loc[:,'Indicator']=cor.index\n", - " cor[['Indicator','Type']]=cor.Indicator.str.split('.',expand=True) \n", - " corcolumn=cor[['Indicator','Type','GDP-R^2','GDP']]\n", - " corcolumn=corcolumn.loc[corcolumn.loc[:, 'GDP-R^2'] >= 0.75]\n", - " id=corcolumn.groupby('Indicator')['GDP-R^2'].transform(max)==corcolumn['GDP-R^2']\n", - " corcolumn[id]\n", - " max_df=pd.DataFrame(corcolumn[id])\n", - " max_df['Behaviour']=np.where(max_df['GDP']>0, 'Positive', 'Negative')\n", - " max_df['Type']=max_df['Type'].replace(['^2','^3','log'],['Cuadratic','Cubic','Logarithmic'])\n", - " max_df['Country']= clist[i]\n", - " max_df.drop(\"GDP\",axis=1,inplace=True)\n", - " max_df=max_df.reset_index(drop=True)\n", - " max_df = max_df.drop(max_df[max_df['Indicator']=='Year'].index)\n", - " max_df = max_df.drop(max_df[max_df['Indicator']=='GDP'].index)\n", - " max_df = max_df.drop(max_df[max_df['Indicator']=='Unnamed: 0'].index)\n", - " max_df=max_df.sort_values(by = 'GDP-R^2',ascending = False)\n", - " demo2=pd.concat((demo2, max_df), axis = 0)\n", - "demo2['Continent']=demo2['Country'].map(all_countries)\n", - "demo2" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now that we’ve loaded the data, we can start right away to create widgets. These widgets are essentials to add interactivity to our visualizations. We’re going to use two widgets: both, multiple selection widgets. To create these widgets, we can use `ipywidgets` library that is available for Jupyter Notebook.\n", - "\n", - "The first widget that we are going to create is the multiple selection widget. We can do this by using `SelectMultiple()attribute` from `ipywidgets`. With this widget, we have the option to visualize the R^2 only in particular selection of indicators instead of all.\n", - "\n", - "The first argument that we should specify is `options` , which should contain the list of available options of our variable (in our case different indicators). 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The purpose of this widget is to enable us to choose which Continent that we want to visualize. Below is the code implementation of this widget." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "b312134fcc9347939c0556c6f008abc2", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(SelectMultiple(description='Continent', index=(2,), layout=Layout(height='80px', width='…" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "customdata": [ - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Negative" - ], - [ - null, - "Negative" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Positive" - ], - [ - "Logarithmic", - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Positive" - ], - [ - "Logarithmic", - "Negative" - ], - [ - null, - "Positive" - ], - [ - "Logarithmic", - "Negative" - ], - [ - "Logarithmic", - "Negative" - ], - [ - "Cubic", - "Positive" - ], - [ - "Cuadratic", - "Positive" - ], - [ - "Cuadratic", - "Negative" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Positive" - ], - [ - "Cuadratic", - "Positive" - ], - [ - "Logarithmic", - "Negative" - ], - [ - null, - "Positive" - ], - [ - "Logarithmic", - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Logarithmic", - "Positive" - ], - [ - "Cuadratic", - "Negative" - ], - [ - null, - "Positive" - ], - [ - "Logarithmic", - "Negative" - ], - [ - "Logarithmic", - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Negative" - ], - [ - "Cubic", - "Negative" - ], - [ - "Logarithmic", - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cubic", - "Negative" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - "Cuadratic", - "Negative" - ], - [ - "Cubic", - "Negative" - ], - [ - "Logarithmic", - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Positive" - ], - [ - null, - "Negative" - ], - [ - null, - "Negative" - ], - [ - "Logarithmic", - "Negative" - ] - ], - "hovertemplate": "%{hovertext}

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"plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "title": { - "text": "North Africa" - }, - "width": 700, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "GDP-R^2" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "title": { - "text": "Indicator" - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "unique_tric = demo2['Continent'].unique()\n", - "tric = widgets.SelectMultiple(\n", - " options = unique_tric.tolist(),\n", - " value = ['North Africa'],\n", - " description='Continent',\n", - " disabled=False,\n", - " layout = Layout(width='50%', height='80px')\n", - ")\n", - "\n", - "def graf1(tric):\n", - " dat=demo2.loc[demo2.loc[:, 'Continent'].isin(np.array(tric))]\n", - " a=px.scatter(dat, x=\"GDP-R^2\", y='Indicator',\n", - " color=\"GDP-R^2\", hover_name=\"Country\",hover_data = [dat.Type, dat.Behaviour],\n", - " color_continuous_scale='Blues', width=700, height=500, title= dat.Continent.unique().tolist()[0])\n", - " a.show()\n", - "widgets.interactive(graf1, tric=tric)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.9.12 ('base')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.12" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "db2f77d7771d8a0072cf3f8e7f9965a22a9c65bf4f8ee5135b3d479c9967abaa" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/WDI-Complete code.ipynb b/WDI-Complete code.ipynb index dfcf029..f310345 100644 --- a/WDI-Complete code.ipynb +++ b/WDI-Complete code.ipynb @@ -3709,13 +3709,13 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3dda106d850e463580b809ff362ca4f3", + "model_id": "9498d0b6c1d4484d991a48ffc80661e3", "version_major": 2, "version_minor": 0 }, @@ -5912,7 +5912,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -9142,7 +9142,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -9151,7 +9151,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -9160,7 +9160,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -9178,7 +9178,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -9203,7 +9203,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -9213,7 +9213,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -9229,13 +9229,13 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b20e00c8aeca422da078f4eaca6d3986", + "model_id": "6434ddd4744e467a83205b4cae63765e", "version_major": 2, "version_minor": 0 }, @@ -9249,7 +9249,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4500dbbc0fff401197dd1817a20a276b", + "model_id": "b6dee10d62ff4aa9b999eee272823db6", "version_major": 2, "version_minor": 0 }, @@ -9263,7 +9263,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "987be8a539424a90b91f2e4a5abfc97d", + "model_id": "ca03a412b61b4158971b64365a74db1b", "version_major": 2, "version_minor": 0 }, @@ -9277,7 +9277,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b7a8261513664525a5402f32530114c9", + "model_id": "fa5db6230c794dc9804df49d39aa197b", "version_major": 2, "version_minor": 0 }, @@ -9306,7 +9306,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -9344,7 +9344,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -9366,7 +9366,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -9384,7 +9384,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -9404,7 +9404,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -9424,7 +9424,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -9446,7 +9446,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -9468,7 +9468,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -9495,7 +9495,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -9513,7 +9513,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -9789,7 +9789,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -9799,7 +9799,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -9935,7 +9935,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -9956,7 +9956,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -9966,7 +9966,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -10004,7 +10004,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -10159,7 +10159,7 @@ "[9700 rows x 5 columns]" ] }, - "execution_count": 79, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -10200,7 +10200,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -10367,7 +10367,7 @@ "[15670 rows x 6 columns]" ] }, - "execution_count": 80, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -10383,7 +10383,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -10392,7 +10392,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -10401,7 +10401,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -10411,7 +10411,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -10431,7 +10431,7 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -10684,7 +10684,7 @@ "[6645 rows x 11 columns]" ] }, - "execution_count": 85, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -10725,12 +10725,15 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 35, "metadata": {}, "outputs": [ { "data": { - "application/javascript": "/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */\n!function(e,t){\"use strict\";\"object\"==typeof module&&\"object\"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error(\"jQuery requires a window with a document\");return t(e)}:t(e)}(\"undefined\"!=typeof window?window:this,function(C,e){\"use strict\";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s0&&P<0&&(P+=360);var I,O,z,D=(C+P)/2;if(!p){var R=d?f.projRotate:[D,0,0];I=r(\"projection.rotation.lon\",R[0]),r(\"projection.rotation.lat\",R[1]),r(\"projection.rotation.roll\",R[2]),r(\"showcoastlines\",!d&&x)&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),r(\"showocean\",!!x&&void 0)&&r(\"oceancolor\")}(p?(O=-96.6,z=38.7):(O=d?D:I,z=(L[0]+L[1])/2),r(\"center.lon\",O),r(\"center.lat\",z),g&&(r(\"projection.tilt\"),r(\"projection.distance\")),m)&&r(\"projection.parallels\",f.projParallels||[0,60]);r(\"projection.scale\"),r(\"showland\",!!x&&void 0)&&r(\"landcolor\"),r(\"showlakes\",!!x&&void 0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==u&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===u||\"north 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e=0,r=arguments.length,i=[];for(;++ed?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var g=180-a-2*p,m=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,m)<=b(r[0],r[1],g,v)?[a,m,r[2]]:[g,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;nMath.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n).999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var 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f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;ar.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"
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D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1120,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;aOpenStreetMap contributors',a=['\\xa9 Carto',i].join(\" \"),o=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under CC BY SA'].join(\" \"),tiles:[\"https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install mapbox-gl@1.10.1.\"].join(\"\\n\"),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\" Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",l.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(\"\\n\"),multipleTokensErrorMsg:[\"Set multiple mapbox access token across different mapbox subplot,\",\"using first token found as mapbox-gl does not allow multipleaccess tokens on the same page.\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\",mapboxLogo:{path0:\"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z\",path1:\"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=i.strTranslate,o=i.strScale,s=t(\"../../plots/get_data\").getSubplotCalcData,l=t(\"../../constants/xmlns_namespaces\"),c=t(\"@plotly/d3\"),u=t(\"../../components/drawing\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./mapbox\"),p=r.constants=t(\"./constants\");function d(t){return\"string\"==typeof t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l1&&i.warn(p.multipleTokensErrorMsg),n[0]):(a.length&&i.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}(t,a);n.accessToken=o;for(var l=0;l_/2){var w=v.split(\"|\").join(\"
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i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,g=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=m.makeDragger(f,\"path\",\"maindrag\",\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,g)),o=a-D,l=a+D;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function $(t,e,r){if(0===t)return s.pathSector(2*D);var n,i,a=K(t,e),o=K(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=O(D,u,l,c);n=O(R,f,h[0][0],h[0][1]),i=O(R,f,h[1][0],h[1][1])}else{var p,d;c?(p=R,d=D):(p=D,d=R),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,g),x),tp?(t-1&&1===t&&_(e,u,[s.xaxis],[s.yaxis],s.id,W),r.indexOf(\"event\")>-1&&y.click(u,e,s.id)}W.prepFn=function(t,n,a){var l=u._fullLayout.dragmode,f=F.getBoundingClientRect();u._fullLayout._calcInverseTransform(u);var p=u._fullLayout._invTransform;e=u._fullLayout._invScaleX,r=u._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var v=E.findPolygonOffset(g,L[0],L[1],C);B+=A+v[0],N+=M+v[1]}switch(l){case\"zoom\":W.clickFn=st,c||(W.moveFn=C?it:rt,W.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),H=!1;var t=u._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(G=m.makeZoombox(h,q,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Y=m.makeCorners(h,T,k),w(u)}());break;case\"select\":case\"lasso\":b(t,n,a,W,l)}},v.init(W)},N.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,g=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(g.visible){var b,_,T,M=R(i.radialAxisAngle),E=g._rl,L=E[0],C=E[1],P=E[r],I=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var O,z,D,B=m.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};V(n.select(B),g.visible&&h0==(r?D>L:Dn?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,c=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&\"linear\"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o0?1:0}function i(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function a(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function o(t,e){return e*t.radius}e.exports={smith:i,reactanceArc:function(t,e,r,n){var s=a(t,i([r,e])),l=s[0],c=s[1],u=a(t,i([n,e])),f=u[0],h=u[1];if(0===e)return[\"M\"+l+\",\"+c,\"L\"+f+\",\"+h].join(\" \");var p=o(t,1/Math.abs(e));return[\"M\"+l+\",\"+c,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+f+\",\"+h].join(\" \")},resistanceArc:function(t,e,r,s){var l=o(t,1/(e+1)),c=a(t,i([e,r])),u=c[0],f=c[1],h=a(t,i([e,s])),p=h[0],d=h[1];if(n(r)!==n(s)){var g=a(t,i([e,0]));return[\"M\"+u+\",\"+f,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=u&&(h.min=0,d.min=0,m.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function g(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,g=e._name.charAt(0).toUpperCase(),m=\"Component 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S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;iE*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var I=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",I),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",O),p.layers.bgrid.attr(\"transform\",O);var z=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",z),p.layers.agrid.attr(\"transform\",z);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+\"title\",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+(\"outside\"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+(\"outside\"===a.ticks?a.ticklen:0)+3;n[\"a-title\"]=b.draw(e,\"a\"+r,{propContainer:i,propName:this.id+\".aaxis.title\",placeholder:l(e,\"Click to enter Component A title\"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,\"text-anchor\":\"middle\"}}),n[\"b-title\"]=b.draw(e,\"b\"+r,{propContainer:a,propName:this.id+\".baxis.title\",placeholder:l(e,\"Click to enter Component B title\"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,\"text-anchor\":\"middle\"}}),n[\"c-title\"]=b.draw(e,\"c\"+r,{propContainer:o,propName:this.id+\".caxis.title\",placeholder:l(e,\"Click to enter Component C 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L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;z(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&m.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),g=(l/2+u)*M.w,m=(1-l/2-c)*M.w,y=(g+m)/2,x=m-g,_=(1-l)*M.h,w=_-x/E;x.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){z(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),O&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),O=!1))}function H(t,e){var 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":907}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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i._trace=a,a.update(e),t.glplot.add(i),a}}},{\"../../../stackgl_modules\":1120,\"../../components/colorscale\":378,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../../plots/gl3d/zip3\":609}],865:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./attributes\"),o=t(\"../../components/colorscale/defaults\");function s(t,e,r,n,a){var s=a(\"isomin\"),l=a(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a(\"x\"),u=a(\"y\"),f=a(\"z\"),h=a(\"value\");c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length?(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),a(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach((function(t){a(t+\"hoverformat\");var e=\"caps.\"+t;a(e+\".show\")&&a(e+\".fill\");var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var 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t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return 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e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.yf.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragXp.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),ni?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),g=8*(f-h)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){h(r,t,n,e)}},{\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_api\":540,\"@plotly/d3\":58,\"d3-interpolate\":116,tinycolor2:312}],887:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\"./parcats\":886}],888:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*fe){h=r;break}}if(a=u,isNaN(a)&&(a=isNaN(f)||isNaN(h)?isNaN(f)?h:f:e-c[f][1]t[1]+r||e=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[a],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":892,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":899,\"@plotly/d3\":58}],891:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;rf&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),h(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"../../plots/domain\":584,\"./attributes\":888,\"./axisbrush\":889,\"./constants\":892,\"./merge_length\":897}],894:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return 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hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n return (\\n fOutside(p[0], lo[0], hi[0]) ||\\n fOutside(p[1], lo[1], hi[1]) ||\\n fOutside(p[2], lo[2], hi[2]) ||\\n fOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n return (\\n vOutside(p[0], lo[0], hi[0]) ||\\n vOutside(p[1], lo[1], hi[1]) ||\\n vOutside(p[2], lo[2], hi[2]) ||\\n vOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n return mOutside(A, loA, hiA) ||\\n mOutside(B, loB, hiB) ||\\n mOutside(C, loC, hiC) ||\\n mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n mat4 pnts[4];\\n pnts[0] = A;\\n pnts[1] = B;\\n pnts[2] = C;\\n pnts[3] = D;\\n\\n for(int i = 0; i < 4; ++i) {\\n for(int j = 0; j < 4; ++j) {\\n for(int k = 0; k < 4; ++k) {\\n if(0 == iMod(\\n int(255.0 * texture2D(maskTexture,\\n vec2(\\n (float(i * 2 + j / 2) + 0.5) / 8.0,\\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n ))[3]\\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n 2\\n )) return true;\\n }\\n }\\n }\\n return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float x = 0.5 * sign(v) + 0.5;\\n float y = axisY(x, A, B, C, D);\\n float z = 1.0 - abs(v);\\n\\n z += isContext ? 0.0 : 2.0 * float(\\n outsideBoundingBox(A, B, C, D) ||\\n outsideRasterMask(A, B, C, D)\\n );\\n\\n return vec4(\\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n z,\\n 1.0\\n );\\n}\\n\\nvoid main() {\\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n float v = colors[3];\\n\\n gl_Position = position(isContext, v, A, B, C, D);\\n\\n fragColor =\\n isContext ? vec4(contextColor) :\\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;au&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&no._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function I(t,e){return 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Z=Y.selectAll(\".\"+y.cn.axisExtentBottom).data(g,d);Z.enter().append(\"g\").classed(y.cn.axisExtentBottom,!0),Z.attr(\"transform\",(function(t){return c(0,t.model.height+y.axisExtentOffset)}));var J=Z.selectAll(\".\"+y.cn.axisExtentBottomText).data(g,d);J.enter().append(\"text\").classed(y.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),J.text((function(t){return D(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(V,T)}},{\"../../components/colorscale\":378,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/gup\":500,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"./axisbrush\":889,\"./constants\":892,\"./helpers\":894,\"./lines\":896,\"@plotly/d3\":58,\"color-rgba\":91}],899:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\"),i=t(\"../../lib/prepare_regl\"),a=t(\"./helpers\").isVisible;function o(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}e.exports=function(t,e){var r=t._fullLayout;if(i(t)){var s={},l={},c={},u={},f=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",f=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===f[s]){var h=a.constraintrange;f[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(a));s[e].sort(n),l[e].filter((function(t){return!a(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":516,\"./helpers\":894,\"./parcoords\":898}],900:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],901:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":900,\"fast-isnumeric\":190}],904:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],905:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;hMath.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),A=g.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":904,\"./helpers\":905,\"@plotly/d3\":58}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":911,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":905}],912:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":926}],913:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1120,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":936}],914:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":912}],915:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" 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h={_id:\"x\",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;ry&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C=\"\";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;eb-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o1}))}(I,M.source,M.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500,\"strongly-connected-components\":306}],919:[function(t,e,r){\"use 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n.coerce(g,m,i.node,t,e)}v(\"label\"),v(\"groups\"),v(\"x\"),v(\"y\"),v(\"pad\"),v(\"thickness\"),v(\"line.color\"),v(\"line.width\"),v(\"hoverinfo\",t.hoverinfo),l(g,m,v,d),v(\"hovertemplate\");var y=h.colorway;v(\"color\",m.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v(\"customdata\");var x=t.link||{},b=c.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function g(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function m(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(m(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(m(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":919,\"./render\":923,\"@plotly/d3\":58}],923:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,g=t(\"../../lib/gup\"),m=g.keyFun,v=g.repeat,y=g.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" 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a=e.layers.frontplot.select(\"g.scatterlayer\"),o={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},s=e.radialAxis,l=e.angularAxis,c=0;c=c&&(y.marker.cluster=d.tree),y.marker&&(y.markerSel.positions=y.markerUnsel.positions=y.marker.positions=_),y.line&&_.length>1&&l.extendFlat(y.line,s.linePositions(t,p,_)),y.text&&(l.extendFlat(y.text,{positions:_},s.textPosition(t,p,y.text,y.marker)),l.extendFlat(y.textSel,{positions:_},s.textPosition(t,p,y.text,y.markerSel)),l.extendFlat(y.textUnsel,{positions:_},s.textPosition(t,p,y.text,y.markerUnsel))),y.fill&&!h.fill2d&&(h.fill2d=!0),y.marker&&!h.scatter2d&&(h.scatter2d=!0),y.line&&!h.line2d&&(h.line2d=!0),y.text&&!h.glText&&(h.glText=!0),h.lineOptions.push(y.line),h.fillOptions.push(y.fill),h.markerOptions.push(y.marker),h.markerSelectedOptions.push(y.markerSel),h.markerUnselectedOptions.push(y.markerUnsel),h.textOptions.push(y.text),h.textSelectedOptions.push(y.textSel),h.textUnselectedOptions.push(y.textUnsel),h.selectBatch.push([]),h.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=m,d.theta=v,d.positions=_,d._scene=h,d.index=h.count,h.count++}})),a(t,e,r)}}},{\"../../lib\":503,\"../scattergl/constants\":980,\"../scattergl/convert\":981,\"../scattergl/plot\":988,\"../scattergl/scene_update\":989,\"@plotly/point-cluster\":59,\"fast-isnumeric\":190}],1014:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../lib/extend\").extendFlat,o=t(\"../scatter/attributes\"),s=t(\"../../plots/attributes\"),l=o.line;e.exports={mode:o.mode,real:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},imag:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},text:o.text,texttemplate:i({editType:\"plot\"},{keys:[\"real\",\"imag\",\"text\"]}),hovertext:o.hovertext,line:{color:l.color,width:l.width,dash:l.dash,shape:a({},l.shape,{values:[\"linear\",\"spline\"]}),smoothing:l.smoothing,editType:\"calc\"},connectgaps:o.connectgaps,marker:o.marker,cliponaxis:a({},o.cliponaxis,{dflt:!1}),textposition:o.textposition,textfont:o.textfont,fill:a({},o.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:o.fillcolor,hoverinfo:a({},s.hoverinfo,{flags:[\"real\",\"imag\",\"text\",\"name\"]}),hoveron:o.hoveron,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":926}],1015:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\"),s=t(\"../scatter/calc_selection\"),l=t(\"../scatter/calc\").calcMarkerSize;e.exports=function(t,e){for(var r=t._fullLayout,c=e.subplot,u=r[c].realaxis,f=r[c].imaginaryaxis,h=u.makeCalcdata(e,\"real\"),p=f.makeCalcdata(e,\"imag\"),d=e._length,g=new Array(d),m=0;m\")}}e.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},{\"../scatter/hover\":937}],1019:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"scattersmith\",basePlotModule:t(\"../../plots/smith\"),categories:[\"smith\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"../scatter/select\"),meta:{}}},{\"../../plots/smith\":629,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1014,\"./calc\":1015,\"./defaults\":1016,\"./format_labels\":1017,\"./hover\":1018,\"./plot\":1020}],1020:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../../plots/smith/helpers\").smith;e.exports=function(t,e,r){for(var o=e.layers.frontplot.select(\"g.scatterlayer\"),s={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},l=0;l\"),o.hovertemplate=h.hovertemplate,a}function x(t,e){v.push(t._hovertitle+\": \"+e)}}},{\"../scatter/hover\":937}],1027:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scatterternary\",basePlotModule:t(\"../../plots/ternary\"),categories:[\"ternary\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/ternary\":634,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1021,\"./calc\":1022,\"./defaults\":1023,\"./event_data\":1024,\"./format_labels\":1025,\"./hover\":1026,\"./plot\":1028}],1028:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\");e.exports=function(t,e,r){var i=e.plotContainer;i.select(\".scatterlayer\").selectAll(\"*\").remove();var a={xaxis:e.xaxis,yaxis:e.yaxis,plot:i,layerClipId:e._hasClipOnAxisFalse?e.clipIdRelative:null},o=e.layers.frontplot.select(\"g.scatterlayer\");n(t,a,r,o)}},{\"../scatter/plot\":947}],1029:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../scattergl/attributes\"),l=t(\"../../plots/cartesian/constants\").idRegex,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"../../lib/extend\").extendFlat,f=n.marker,h=f.line,p=u(i(\"marker.line\",{editTypeOverride:\"calc\"}),{width:u({},h.width,{editType:\"calc\"}),editType:\"calc\"}),d=u(i(\"marker\"),{symbol:f.symbol,size:u({},f.size,{editType:\"markerSize\"}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:f.opacity,colorbar:f.colorbar,line:p,editType:\"calc\"});function 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h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var 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g(t,e){if(t0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a_;)r--,r/=v(r),++r1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];ea&&(this.minValues[e]=a),this.maxValues[e]\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\"cubic-out\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\"cubic-out\",uplift:5,wrapSpacer:\" \",wrapSplitCharacter:\" 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e=0,r=0;r=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1065,\"fast-isnumeric\":190}],1067:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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f,h,p=u?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=u?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",g=u?null:T(t.calcdata.cells.format,e,r)||null,m=p+(g?a(g)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(f=w(m)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===f?w(m):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(\" \"===n.wrapSplitCharacter?m.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return u(0,e)})),t&&(C(t,r,e,c,n.prevPages,n,0),C(t,r,e,c,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===u}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var r,i,a=e[e.length-1].width,s=e.slice(0,-1),l=[],c=0,u=t.column.columnWidth-2*n.cellPad;for(t.value=\"\";s.length;)c+(i=(r=s.shift()).width+a)>u&&(t.value+=l.join(n.wrapSpacer)+n.lineBreaker,l=[],c=0),l.push(r.text),c+=i;c&&(t.value+=l.join(n.wrapSpacer)),t.wrapped=!0})),o.selectAll(\"tspan.line\").remove(),_(o.select(\".\"+n.cn.cellText),r,t,a),i.select(e.parentNode.parentNode).call(z)}}function I(t,e,r,a,o){return function(){if(!o.settledY){var 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t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26;for(;0!==i&&a>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o>26,this.words[o]=67108863&e;for(;0!==a&&o>26,this.words[o]=67108863&e;if(0===a&&o>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,q)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,gt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function g(t,e,r){return(new m).mulp(t,e,r)}function m(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):g(this,t,e)},m.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},m.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,c=0;c=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var g=p,m=0;0!==g.cmp(s);m++)g=g.redSqr();n(m=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var 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t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=g;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var g=-1;g<=1;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]E&&(w|=1<E&&(w|=1<c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,H=w;for(A=0;A<3;++A)V[A]=H&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n b - PI :\\n b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n // if ratio is set to 0.5 then it is 50%, 50%.\\n // when using a higher ratio e.g. 0.75 the result would\\n // likely be more horizontal than vertical.\\n\\n float b = positive_angle(a);\\n\\n return\\n (b < ( ratio) * HALF_PI) ? 0.0 :\\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n 0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n float b = positive_angle(a);\\n float div = TWO_PI / float(n);\\n float c = roundTo(b, div);\\n return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n return\\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\\n rawAngle; // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n (axis.y == 0.0) &&\\n (axis.z == 0.0);\\n\\nvoid main() {\\n //Compute world offset\\n float axisDistance = position.z;\\n vec3 dataPosition = axisDistance * axis + offset;\\n\\n float beta = angle; // i.e. user defined attributes for each tick\\n\\n float axisAngle;\\n float clipAngle;\\n float flip;\\n\\n if (enableAlign) {\\n axisAngle = (isAxisTitle) ? HALF_PI :\\n computeViewAngle(dataPosition, dataPosition + axis);\\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n beta += applyAlignOption(clipAngle, flip * PI);\\n }\\n\\n //Compute plane offset\\n vec2 planeCoord = position.xy * pixelScale;\\n\\n mat2 planeXform = scale * mat2(\\n cos(beta), sin(beta),\\n -sin(beta), cos(beta)\\n );\\n\\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n //Compute clip position\\n vec3 clipPosition = project(dataPosition);\\n\\n //Apply text offset in clip coordinates\\n clipPosition += vec3(viewOffset, 0.0);\\n\\n //Done\\n gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n vec3 realNormal = signAxis * normal;\\n\\n if(dot(realNormal, enable) > 0.0) {\\n vec3 minRange = min(bounds[0], bounds[1]);\\n vec3 maxRange = max(bounds[0], bounds[1]);\\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n } else {\\n gl_Position = vec4(0,0,0,0);\\n }\\n\\n colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n gl_FragColor = colorChannel.x * colors[0] +\\n colorChannel.y * colors[1] +\\n colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,g=p.length;d=0;--v){var y=h[m[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var g=0;g=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;yo&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),a.vectorScale=m;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * conePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(conePosition, 1.0);\\n vec4 t_position = view * conePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = conePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n gl_Position = projection * view * conePosition;\\n f_id = id;\\n f_position = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":82}],84:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders/index\"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a0)(g=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+f(i,g,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":85,\"gl-buffer\":78,\"gl-vao\":150}],85:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n vec4 worldPosition = model * vec4(position, 1.0);\\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n gl_Position = projection * view * worldPosition;\\n fragColor = color;\\n fragPosition = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 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n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;au||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var g=!0;\"depth\"in n&&(g=!!n.depth);var m=!1;\"stencil\"in n&&(m=!!n.stencil);return new d(t,e,r,h,f,g,m,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;vi||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float dashScale;\\nuniform float opacity;\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (\\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n fragColor.a * opacity == 0.\\n ) discard;\\n\\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n if(dashWeight < 0.5) {\\n discard;\\n }\\n gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX 1.70141184e38\\n#define FLOAT_MIN 1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n float av = abs(v);\\n\\n //Handle special cases\\n if(av < FLOAT_MIN) {\\n return vec4(0.0, 0.0, 0.0, 0.0);\\n } else if(v > FLOAT_MAX) {\\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n } else if(v < -FLOAT_MAX) {\\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n }\\n\\n vec4 c = vec4(0,0,0,0);\\n\\n //Compute exponent and mantissa\\n float e = floor(log2(av));\\n float m = av * pow(2.0, -e) - 1.0;\\n\\n //Unpack mantissa\\n c[1] = floor(128.0 * m);\\n m -= c[1] / 128.0;\\n c[2] = floor(32768.0 * m);\\n m -= c[2] / 32768.0;\\n c[3] = floor(8388608.0 * m);\\n\\n //Unpack exponent\\n float ebias = e + 127.0;\\n c[0] = floor(ebias / 2.0);\\n ebias -= c[0] * 2.0;\\n c[1] += floor(ebias) * 128.0;\\n\\n //Unpack sign bit\\n c[0] += 128.0 * step(0.0, -v);\\n\\n //Scale back to range\\n return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,m=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var T=s;if(s+=d(b,_),m){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,m=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;v+=m[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,m),m]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n , view\\n , projection\\n , inverseModel;\\nuniform vec3 eyePosition\\n , lightPosition;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n gl_Position = project(position);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * vec4(position , 1.0);\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n , fresnel\\n , kambient\\n , kdiffuse\\n , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (f_color.a == 0.0 ||\\n outOfRange(clipBounds[0], clipBounds[1], f_data)\\n ) discard;\\n\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n }\\n gl_PointSize = pointSize;\\n f_color = color;\\n f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n if(dot(pointR, pointR) > 0.25) {\\n discard;\\n }\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_id = id;\\n f_position = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute float pointSize;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n gl_PointSize = pointSize;\\n }\\n f_id = id;\\n f_position = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*g[t+2],ki[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],g=a[o+2]-f,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,h[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],h[d]):o.drawLine(e[0],g,e[2],g,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n uv = position;\\n gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var c=0;c 1.0) {\\n discard;\\n }\\n baseColor = mix(borderColor, color, step(radius, centerFraction));\\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n vec3 hgPosition = matrix * vec3(position, 1);\\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\\n gl_PointSize = pointSize;\\n\\n vec4 id = pickId + pickOffset;\\n id.y += floor(id.x / 256.0);\\n id.x -= floor(id.x / 256.0) * 256.0;\\n\\n id.z += floor(id.y / 256.0);\\n id.y -= floor(id.y / 256.0) * 256.0;\\n\\n id.w += floor(id.z / 256.0);\\n id.z -= floor(id.z / 256.0) * 256.0;\\n\\n fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n if(radius > 1.0) {\\n discard;\\n }\\n gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+f*g+h*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*g,t[3]=s*h+l*m,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = 1.0;\\n if(distance(highlightId, id) < 0.0001) {\\n scale = highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1);\\n vec4 viewPosition = view * worldPosition;\\n viewPosition = viewPosition / viewPosition.w;\\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = pixelRatio;\\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n scale *= highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1.0);\\n vec4 viewPosition = view * worldPosition;\\n vec4 clipPosition = projection * viewPosition;\\n clipPosition /= clipPosition.w;\\n\\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float lscale = pixelRatio * scale;\\n if(distance(highlightId, id) < 0.0001) {\\n lscale *= highlightScale;\\n }\\n\\n vec4 clipCenter = projection * view * model * vec4(position, 1);\\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = dataPosition;\\n }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (\\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n interpColor.a * opacity == 0.\\n ) discard;\\n gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,f,h,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,g=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var C=(m+1)%3,P=(m+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function 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c=u(n);Object.defineProperty(t,e,{get:a(c),set:l(n),enumerable:!0,configurable:!1})}else s[n]?Object.defineProperty(t,e,{get:(f=n,function(t,e,r){return t.getUniform(e.program,r[f])}),set:l(n),enumerable:!0,configurable:!1}):t[e]=function(t){switch(t){case\"bool\":return!1;case\"int\":case\"sampler2D\":case\"samplerCube\":case\"float\":return 0;default:var e=t.indexOf(\"vec\");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i(\"\",\"Invalid data type\");return\"b\"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf(\"mat\")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+t);return o(r*r,0)}throw new i(\"\",\"Unknown uniform data type for \"+name+\": \"+t)}}(r[n].type);var f}function u(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * tubePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(tubePosition, 1.0);\\n vec4 t_position = view * tubePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = tubePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n gl_Position = projection * view * tubePosition;\\n f_id = id;\\n f_position = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;se)return r-1}return r},l=function(t,e,r){return tr?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][g],L=a[1][y],C=a[2][m],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(g=h-1-g,y=h-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,A=x,w=g*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=m,A=x,b=d*p,_=v*p,w=g*p*f,T=y*p*f;break;case 3:w=g,T=y,k=m*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=g,T=y,b=d*h,_=v*h,k=m*h*f,A=x*h*f;break;case 1:b=d,_=v,k=m*f,A=x*f,w=g*f*p,T=y*f*p;break;default:b=d,_=v,w=g*f,T=y*f,k=m*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;lS&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=g(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(m,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n vec3 localCoordinate = vec3(uv.zw, f.x);\\n worldCoordinate = objectOffset + localCoordinate;\\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n vec4 clipPosition = projection * view * worldPosition;\\n gl_Position = clipPosition;\\n kill = f.y;\\n value = f.z;\\n planeCoordinate = uv.xy;\\n\\n vColor = texture2D(colormap, vec2(value, value));\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * worldPosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n lightDirection = lightPosition - cameraCoordinate.xyz;\\n eyeDirection = eyePosition - cameraCoordinate.xyz;\\n surfaceNormal = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness) {\\n return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n if (\\n kill > 0.0 ||\\n vColor.a == 0.0 ||\\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n ) discard;\\n\\n vec3 N = normalize(surfaceNormal);\\n vec3 V = normalize(eyeDirection);\\n vec3 L = normalize(lightDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n //decide how to interpolate color \\u2014 in vertex or in fragment\\n vec4 surfaceColor =\\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n step(.5, vertexColor) * vColor;\\n\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n worldCoordinate = objectOffset + dataCoordinate;\\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n vec4 clipPosition = projection * view * worldPosition;\\n clipPosition.z += zOffset;\\n\\n gl_Position = clipPosition;\\n value = f + objectOffset.z;\\n kill = -1.0;\\n planeCoordinate = uv.zw;\\n\\n vColor = texture2D(colormap, vec2(value, value));\\n\\n //Don't do lighting for contours\\n surfaceNormal = vec3(1,0,0);\\n eyeDirection = vec3(0,1,0);\\n lightDirection = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n float vh = 255.0 * v;\\n float upper = floor(vh);\\n float lower = fract(vh);\\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n if ((kill > 0.0) ||\\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,m=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;oi||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return 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t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,u){var h=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,m=0,v=g(p,u.stride.slice());\"float32\"===h?d=t.FLOAT:\"float64\"===h?(d=t.FLOAT,v=!1,h=\"float32\"):\"uint8\"===h?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,h=\"uint8\");if(2===p.length)m=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])m=t.ALPHA;else if(2===p[2])m=t.LUMINANCE_ALPHA;else if(3===p[2])m=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");m=t.RGBA}p[2]}m!==t.LUMINANCE&&m!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(m=s);if(m!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?a.mallocFloat32(y):a.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?f(_,u):i.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],147:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new 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i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n", + "/*!\n", + " * pad-left \n", + " *\n", + " * Copyright (c) 2014-2015, Jon Schlinkert.\n", + " * Licensed under the MIT license.\n", + " */\n", + "\"use strict\";var n=t(\"repeat-string\");e.exports=function(t,e,r){return n(r=void 0!==r?r+\"\":\" \",e)+t}},{\"repeat-string\":277}],265:[function(t,e,r){e.exports=function(t,e){e||(e=[0,\"\"]),t=String(t);var r=parseFloat(t,10);return e[0]=r,e[1]=t.match(/[\\d.\\-\\+]*\\s*(.*)/)[1]||\"\",e}},{}],266:[function(t,e,r){\"use strict\";e.exports=function(t,e){for(var r=0|e.length,i=t.length,a=[new Array(r),new Array(r)],o=0;o0){o=a[u][r][0],l=u;break}s=o[1^l];for(var f=0;f<2;++f)for(var h=a[f][r],p=0;p0&&(o=d,s=g,l=f)}return i||o&&c(o,l),s}function f(t,r){var i=a[r][t][0],o=[t];c(i,r);for(var 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r=t.length*e;if(n!==t||void 0===n)n=t,i=\"\";else if(i.length>=r)return i.substr(0,r);for(;r>i.length&&e>1;)1&e&&(i+=t),e>>=1,t+=t;return i=(i+=t).substr(0,r)}},{}],278:[function(t,e,r){(function(t){(function(){e.exports=t.performance&&t.performance.now?function(){return performance.now()}:Date.now||function(){return+new Date}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{}],279:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.length,r=t[t.length-1],n=e,i=e-2;i>=0;--i){var a=r,o=t[i];(l=o-((r=a+o)-a))&&(t[--n]=r,r=l)}var s=0;for(i=n;i0){if(a<=0)return o;n=i+a}else{if(!(i<0))return o;if(a>=0)return o;n=-(i+a)}var s=33306690738754716e-32*n;return o>=s||o<=-s?o:f(t,e,r)},function(t,e,r,n){var i=t[0]-n[0],a=e[0]-n[0],o=r[0]-n[0],s=t[1]-n[1],l=e[1]-n[1],c=r[1]-n[1],u=t[2]-n[2],f=e[2]-n[2],p=r[2]-n[2],d=a*c,g=o*l,m=o*s,v=i*c,y=i*l,x=a*s,b=u*(d-g)+f*(m-v)+p*(y-x),_=7771561172376103e-31*((Math.abs(d)+Math.abs(g))*Math.abs(u)+(Math.abs(m)+Math.abs(v))*Math.abs(f)+(Math.abs(y)+Math.abs(x))*Math.abs(p));return b>_||-b>_?b:h(t,e,r,n)}];function d(t){var e=p[t.length];return e||(e=p[t.length]=u(t.length)),e.apply(void 0,t)}function g(t,e,r,n,i,a,o){return function(e,r,s,l,c){switch(arguments.length){case 0:case 1:return 0;case 2:return n(e,r);case 3:return i(e,r,s);case 4:return a(e,r,s,l);case 5:return o(e,r,s,l,c)}for(var u=new Array(arguments.length),f=0;f0&&o>0||a<0&&o<0)return!1;var s=n(r,t,e),l=n(i,t,e);if(s>0&&l>0||s<0&&l<0)return!1;if(0===a&&0===o&&0===s&&0===l)return function(t,e,r,n){for(var i=0;i<2;++i){var a=t[i],o=e[i],s=Math.min(a,o),l=Math.max(a,o),c=r[i],u=n[i],f=Math.min(c,u);if(Math.max(c,u)=n?(i=f,(l+=1)=n?(i=f,(l+=1)>1,c=e[2*l+1];if(c===a)return 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n=t(\"robust-orientation\"),i=t(\"simplicial-complex\")},{\"robust-orientation\":284,\"simplicial-complex\":295}],298:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r,a,o,s;if(e[0][0]e[1][0]))return i(e,t);r=e[1],a=e[0]}if(t[0][0]t[1][0]))return-i(t,e);o=t[1],s=t[0]}var l=n(r,a,s),c=n(r,a,o);if(l<0){if(c<=0)return l}else if(l>0){if(c>=0)return l}else if(c)return c;if(l=n(s,o,a),c=n(s,o,r),l<0){if(c<=0)return l}else if(l>0){if(c>=0)return l}else if(c)return c;return a[0]-s[0]};var n=t(\"robust-orientation\");function i(t,e){var r,i,a,o;if(e[0][0]e[1][0])){var s=Math.min(t[0][1],t[1][1]),l=Math.max(t[0][1],t[1][1]),c=Math.min(e[0][1],e[1][1]),u=Math.max(e[0][1],e[1][1]);return lu?s-u:l-u}r=e[1],i=e[0]}t[0][1]0)if(e[0]!==o[1][0])r=t,t=t.right;else{if(l=c(t.right,e))return l;t=t.left}else{if(e[0]!==o[1][0])return t;var l;if(l=c(t.right,e))return l;t=t.left}}return r}function u(t,e,r,n){this.y=t,this.index=e,this.start=r,this.closed=n}function f(t,e,r,n){this.x=t,this.segment=e,this.create=r,this.index=n}s.prototype.castUp=function(t){var e=n.le(this.coordinates,t[0]);if(e<0)return-1;this.slabs[e];var r=c(this.slabs[e],t),i=-1;if(r&&(i=r.value),this.coordinates[e]===t[0]){var s=null;if(r&&(s=r.key),e>0){var u=c(this.slabs[e-1],t);u&&(s?o(u.key,s)>0&&(s=u.key,i=u.value):(i=u.value,s=u.key))}var f=this.horizontal[e];if(f.length>0){var h=n.ge(f,t[1],l);if(h=f.length)return i;p=f[h]}}if(p.start)if(s){var d=a(s[0],s[1],[t[0],p.y]);s[0][0]>s[1][0]&&(d=-d),d>0&&(i=p.index)}else i=p.index;else p.y!==t[1]&&(i=p.index)}}}return i}},{\"./lib/order-segments\":298,\"binary-search-bounds\":31,\"functional-red-black-tree\":69,\"robust-orientation\":284}],300:[function(t,e,r){\"use strict\";var n=t(\"robust-dot-product\"),i=t(\"robust-sum\");function a(t,e){var r=i(n(t,e),[e[e.length-1]]);return r[r.length-1]}function o(t,e,r,n){var i=-e/(n-e);i<0?i=0:i>1&&(i=1);for(var a=1-i,o=t.length,s=new Array(o),l=0;l0||i>0&&u<0){var f=o(s,u,l,i);r.push(f),n.push(f.slice())}u<0?n.push(l.slice()):u>0?r.push(l.slice()):(r.push(l.slice()),n.push(l.slice())),i=u}return{positive:r,negative:n}},e.exports.positive=function(t,e){for(var r=[],n=a(t[t.length-1],e),i=t[t.length-1],s=t[0],l=0;l0||n>0&&c<0)&&r.push(o(i,c,s,n)),c>=0&&r.push(s.slice()),n=c}return r},e.exports.negative=function(t,e){for(var r=[],n=a(t[t.length-1],e),i=t[t.length-1],s=t[0],l=0;l0||n>0&&c<0)&&r.push(o(i,c,s,n)),c<=0&&r.push(s.slice()),n=c}return r}},{\"robust-dot-product\":281,\"robust-sum\":289}],301:[function(t,e,r){!function(){\"use strict\";var t={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function e(t){return i(o(t),arguments)}function n(t,r){return e.apply(null,[t].concat(r||[]))}function i(r,n){var 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" + ] }, "metadata": {}, "output_type": "display_data" @@ -14433,7 +14549,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -23625,7 +23741,34 @@ } } } - } + }, + "text/html": [ + "
" + ] }, "metadata": {}, "output_type": "display_data" @@ -28763,7 +28906,34 @@ } } } - } + }, + "text/html": [ + "
" + ] }, "metadata": {}, "output_type": "display_data" @@ -34237,181186 +34407,190 @@ } } } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#TREEMAP: Graph for seeing the correlation worldwide.\n", - "\n", - "#By indicator.\n", - "\n", - "fig2=px.treemap(selected_primary,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu_r')\n", - "\n", - "fig2.show()\n", - "\n", - "#By continent\n", - "\n", - "fig2d=px.treemap(selected_primary,path=['Continent','Country','Group'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu_r')\n", - "fig2d.show()\n", - "\n", - "#By group of interest\n", - "\n", - "fig2dd=px.treemap(selected_primary,path=['Group','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu_r')\n", - "\n", - "fig2dd.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "lastdf=final.dropna()\n", - "\n", - "lastdf.isna().sum()\n", - "\n", - "from ipywidgets import widgets, HBox\n", - "\n", - "out = widgets.Output()\n", - "\n", - "def output_treemap(path):\n", - "\n", - " figA = px.treemap(lastdf, path=path, values='R^2 Spearman',\n", - "\n", - " color='R^2 Spearman',\n", - "\n", - " color_continuous_scale='RdBu_r')\n", - "\n", - " figA.update_layout(margin = dict(t=50, l=25, r=25, b=25))\n", - "\n", - " out.clear_output(wait=True)\n", - "\n", - " with out:\n", - "\n", - " figA.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 96, - "metadata": {}, - "outputs": [], - "source": [ - "path_1_dropdown = widgets.Dropdown(\n", - "\n", - " options=['Continent', 'Country','Group','Indicator'],\n", - "\n", - " value='Continent',\n", - "\n", - " description='Path 1',\n", - "\n", - " disabled=False,\n", - "\n", - ")\n", - "\n", - "path_2_dropdown = widgets.Dropdown(\n", - "\n", - " options=['Continent', 'Country','Group','Indicator'],\n", - "\n", - " value='Country',\n", - "\n", - " description='Path 2',\n", - "\n", - " disabled=False,\n", - "\n", - ")\n", - "\n", - "path_3_dropdown=widgets.Dropdown(\n", - "\n", - " options=['Continent', 'Country','Group','Indicator'],\n", - "\n", - " value='Group',\n", - "\n", - " description='Path 3',\n", - "\n", - " disabled=False,\n", - "\n", - ")\n", - "\n", - "path_4_dropdown=widgets.Dropdown(\n", - "\n", - " options=['Continent', 'Country','Group','Indicator'],\n", - "\n", - " value='Indicator',\n", - "\n", - " description='Path 4',\n", - "\n", - " disabled=False,\n", - "\n", - ")\n", - "\n", - "ok_button = widgets.Button(\n", - "\n", - " description='Ready to go',\n", - "\n", - " disabled=False,\n", - "\n", - " button_style='info', # 'success', 'info', 'warning', 'danger' or ''\n", - "\n", - " icon='check' # (FontAwesome names without the `fa-` prefix)\n", - "\n", - ")\n", - "\n", - "ok_button.on_click(lambda _: output_treemap([px.Constant(\"World\"), path_1_dropdown.value, path_2_dropdown.value,path_3_dropdown.value,path_4_dropdown.value]))" - ] - }, - { - "cell_type": "code", - "execution_count": 97, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "efff9c080b6049fd9f89865b23843ce6", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(Dropdown(description='Path 1', options=('Continent', 'Country', 'Group', 'Indicator'), value='C…" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "e53ca788e13c4c0dbaba5cb95476da99", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "branchvalues": "total", - "customdata": [ - [ - 0.8531021111589834 - ], - [ - 0.9960831758177524 - ], - [ - 0.9956171156600898 - ], - [ - 0.7534091311886248 - ], - 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"World/Persian Gulf/OMN/Economy/Adjusted net national income per capita (current US$)", - "World/Latam/PAN/Economy/Adjusted net national income per capita (current US$)", - "World/Latam/PER/Economy/Adjusted net national income per capita (current US$)", - "World/Asia/PHL/Economy/Adjusted net national income per capita (current US$)", - "World/Europe/POL/Economy/Adjusted net national income per capita (current US$)", - "World/Persian Gulf/QAT/Economy/Adjusted net national income per capita (current US$)", - "World/Persian Gulf/SAU/Economy/Adjusted net national income per capita (current US$)", - "World/South Africa/SEN/Economy/Adjusted net national income per capita (current US$)", - "World/Europe/SWE/Economy/Adjusted net national income per capita (current US$)", - "World/Asia/THA/Economy/Adjusted net national income per capita (current US$)", - "World/North Africa/TUR/Economy/Adjusted net national income per capita (current US$)", - "World/Pair/USA/Economy/Adjusted net national income per capita (current US$)", - "World/Latam/VEN/Economy/Adjusted net national income per capita (current US$)", - "World/Asia/VNM/Economy/Adjusted net national income per capita (current US$)", - "World/Persian Gulf/YEM/Economy/Adjusted net national income per capita (current US$)", - "World/South Africa/ZAF/Economy/Adjusted net national income per capita (current US$)", - "World/Persian Gulf/ARE/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/ARG/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Europe/AUT/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Persian Gulf/AZE/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Asia/BGD/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/BRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/CHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Pair/CHN/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/South Africa/CMR/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/COL/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/CRI/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Europe/DEU/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/North Africa/DZA/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/North Africa/EGY/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Europe/FRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Europe/GBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/South Africa/GHA/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Asia/IDN/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Asia/IND/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/North Africa/ISR/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Asia/KOR/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/South Africa/LBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/North Africa/MAR/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/MEX/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/South Africa/MOZ/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/South Africa/NGA/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Europe/NLD/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Persian Gulf/OMN/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/PAN/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/PER/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Asia/PHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Europe/POL/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Persian Gulf/QAT/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Persian Gulf/SAU/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/South Africa/SEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Asia/THA/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/North Africa/TUR/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Pair/USA/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/VEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Asia/VNM/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Persian Gulf/YEM/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/South Africa/ZAF/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Persian Gulf/ARE/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/ARG/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/AUT/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Persian Gulf/AZE/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Asia/BGD/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/BRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/CHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Pair/CHN/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/South Africa/CMR/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/COL/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/CRI/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/DEU/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/North Africa/DZA/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/North Africa/EGY/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/ESP/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/FRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/GBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/South Africa/GHA/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/GRC/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/HRV/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Asia/IDN/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Asia/IND/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/North Africa/ISR/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Asia/KOR/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/South Africa/LBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/North Africa/MAR/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/MEX/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/South Africa/MOZ/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/South Africa/NGA/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/NLD/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Persian Gulf/OMN/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/PAN/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/PER/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Asia/PHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/POL/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Persian Gulf/QAT/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Persian Gulf/SAU/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/South Africa/SEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/SWE/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Asia/THA/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/North Africa/TUR/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Pair/USA/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/VEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Asia/VNM/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Persian Gulf/YEM/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/South Africa/ZAF/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/ARG/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/AUT/Economy/Adjusted savings: education expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/Adjusted savings: education expenditure (current US$)", - "World/Asia/BGD/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/BRA/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/CHL/Economy/Adjusted savings: education expenditure (current US$)", - "World/Pair/CHN/Economy/Adjusted savings: education expenditure (current US$)", - "World/South Africa/CMR/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/COL/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/CRI/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/DEU/Economy/Adjusted savings: education expenditure (current US$)", - "World/North Africa/DZA/Economy/Adjusted savings: education expenditure (current US$)", - "World/North Africa/EGY/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/ESP/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/FRA/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/GBR/Economy/Adjusted savings: education expenditure (current US$)", - "World/South Africa/GHA/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/HRV/Economy/Adjusted savings: education expenditure (current US$)", - "World/Asia/IDN/Economy/Adjusted savings: education expenditure (current US$)", - "World/Asia/IND/Economy/Adjusted savings: education expenditure (current US$)", - "World/North Africa/ISR/Economy/Adjusted savings: education expenditure (current US$)", - "World/Asia/KOR/Economy/Adjusted savings: education expenditure (current US$)", - "World/South Africa/LBR/Economy/Adjusted savings: education expenditure (current US$)", - "World/North Africa/MAR/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/MEX/Economy/Adjusted savings: education expenditure (current US$)", - "World/South Africa/MOZ/Economy/Adjusted savings: education expenditure (current US$)", - "World/South Africa/NGA/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/NLD/Economy/Adjusted savings: education expenditure (current US$)", - "World/Persian Gulf/OMN/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/PAN/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/PER/Economy/Adjusted savings: education expenditure (current US$)", - "World/Asia/PHL/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/POL/Economy/Adjusted savings: education expenditure (current US$)", - "World/Persian Gulf/QAT/Economy/Adjusted savings: education expenditure (current US$)", - "World/Persian Gulf/SAU/Economy/Adjusted savings: education expenditure (current US$)", - "World/South Africa/SEN/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/SWE/Economy/Adjusted savings: education expenditure (current US$)", - "World/Asia/THA/Economy/Adjusted savings: education expenditure (current US$)", - "World/North Africa/TUR/Economy/Adjusted savings: education expenditure (current US$)", - "World/Pair/USA/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/VEN/Economy/Adjusted savings: education expenditure (current US$)", - "World/Asia/VNM/Economy/Adjusted savings: education expenditure (current US$)", - "World/Persian Gulf/YEM/Economy/Adjusted savings: education expenditure (current US$)", - "World/South Africa/ZAF/Economy/Adjusted savings: education expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/BGD/Economy/Adjusted savings: net national savings (current US$)", - "World/Latam/CHL/Economy/Adjusted savings: net national savings (current US$)", - "World/Pair/CHN/Economy/Adjusted savings: net national savings (current US$)", - "World/Latam/CRI/Economy/Adjusted savings: net national savings (current US$)", - "World/Europe/DEU/Economy/Adjusted savings: net national savings (current US$)", - "World/North Africa/DZA/Economy/Adjusted savings: net national savings (current US$)", - "World/Europe/GRC/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/IND/Economy/Adjusted savings: net national savings (current US$)", - "World/North Africa/ISR/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/KOR/Economy/Adjusted savings: net national savings (current US$)", - "World/South Africa/LBR/Economy/Adjusted savings: net national savings (current US$)", - "World/North Africa/MAR/Economy/Adjusted savings: net national savings (current US$)", - "World/Europe/NLD/Economy/Adjusted savings: net national savings (current US$)", - "World/Latam/PAN/Economy/Adjusted savings: net national savings (current US$)", - "World/Latam/PER/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/PHL/Economy/Adjusted savings: net national savings (current US$)", - "World/Europe/POL/Economy/Adjusted savings: net national savings (current US$)", - "World/Persian Gulf/SAU/Economy/Adjusted savings: net national savings (current US$)", - "World/South Africa/SEN/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/THA/Economy/Adjusted savings: net national savings (current US$)", - "World/North Africa/TUR/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/VNM/Economy/Adjusted savings: net national savings (current US$)", - "World/Persian Gulf/ARE/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Europe/AUT/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/BGD/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/CHL/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Pair/CHN/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/South Africa/CMR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/COL/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/CRI/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/North Africa/EGY/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Europe/FRA/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Europe/GBR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/South Africa/GHA/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Europe/GRC/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/IDN/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/IND/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/North Africa/ISR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/KOR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/North Africa/MAR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/South Africa/MOZ/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/South Africa/NGA/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/PAN/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/PHL/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Persian Gulf/QAT/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Persian Gulf/SAU/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/THA/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/North Africa/TUR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/VEN/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/VNM/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Persian Gulf/YEM/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Persian Gulf/ARE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/ARG/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/AUT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/AZE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/BGD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/BRA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/CHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Pair/CHN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/CMR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/COL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/CRI/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/DEU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/North Africa/EGY/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/GBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/GHA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/GRC/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/HRV/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/IND/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/North Africa/ISR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/KOR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/LBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/North Africa/MAR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/MEX/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/MOZ/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/NGA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/NLD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/OMN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/PAN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/PER/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/PHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/POL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/QAT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/SAU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/SEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/SWE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/North Africa/TUR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Pair/USA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/VEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/VNM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/YEM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/AUT/Agriculture/Agricultural land (% of land area)", - "World/Persian Gulf/AZE/Agriculture/Agricultural land (% of land area)", - "World/Asia/BGD/Agriculture/Agricultural land (% of land area)", - "World/Latam/BRA/Agriculture/Agricultural land (% of land area)", - "World/Pair/CHN/Agriculture/Agricultural land (% of land area)", - "World/South Africa/CMR/Agriculture/Agricultural land (% of land area)", - "World/Latam/CRI/Agriculture/Agricultural land (% of land area)", - "World/Europe/DEU/Agriculture/Agricultural land (% of land area)", - "World/North Africa/DZA/Agriculture/Agricultural land (% of land area)", - "World/North Africa/EGY/Agriculture/Agricultural land (% of land area)", - "World/Europe/ESP/Agriculture/Agricultural land (% of land area)", - "World/Europe/FRA/Agriculture/Agricultural land (% of land area)", - "World/Europe/GRC/Agriculture/Agricultural land (% of land area)", - "World/Asia/IDN/Agriculture/Agricultural land (% of land area)", - "World/Asia/IND/Agriculture/Agricultural land (% of land area)", - "World/North Africa/ISR/Agriculture/Agricultural land (% of land area)", - "World/Asia/KOR/Agriculture/Agricultural land (% of land area)", - "World/South Africa/LBR/Agriculture/Agricultural land (% of land area)", - "World/South Africa/MOZ/Agriculture/Agricultural land (% of land area)", - "World/South Africa/NGA/Agriculture/Agricultural land (% of land area)", - "World/Europe/NLD/Agriculture/Agricultural land (% of land area)", - "World/Latam/PAN/Agriculture/Agricultural land (% of land area)", - "World/Asia/PHL/Agriculture/Agricultural land (% of land area)", - "World/Europe/POL/Agriculture/Agricultural land (% of land area)", - "World/Europe/SWE/Agriculture/Agricultural land (% of land area)", - "World/North Africa/TUR/Agriculture/Agricultural land (% of land area)", - "World/Pair/USA/Agriculture/Agricultural land (% of land area)", - "World/Latam/VEN/Agriculture/Agricultural land (% of land area)", - "World/Asia/VNM/Agriculture/Agricultural land (% of land area)", - "World/Persian Gulf/YEM/Agriculture/Agricultural land (% of land area)", - "World/Persian Gulf/ARE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/ARG/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/AUT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/AZE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/BGD/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/CHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Pair/CHN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/CRI/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/DZA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/FRA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/GHA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/HRV/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IDN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IND/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/ISR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/LBR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/MAR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/MEX/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/NGA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/OMN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/PER/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/PHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/QAT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/SAU/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/SWE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/TUR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/VNM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/YEM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/ARE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/AZE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/BGD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/BRA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/CRI/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/DZA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/GHA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IDN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IND/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/ISR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/LBR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/MAR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/NGA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/NLD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/OMN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/PER/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/PHL/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/QAT/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Pair/USA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/VNM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/YEM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/ARG/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Europe/AUT/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/BRA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/CHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/COL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/North Africa/DZA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/North Africa/EGY/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Europe/GRC/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Europe/HRV/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/IDN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/KOR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/North Africa/MAR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/MEX/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/PHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Europe/POL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/THA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/North Africa/TUR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Pair/USA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/VEN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/VNM/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/BGD/Agriculture/Aquaculture production (metric tons)", - "World/Latam/BRA/Agriculture/Aquaculture production (metric tons)", - "World/Latam/CHL/Agriculture/Aquaculture production (metric tons)", - "World/Pair/CHN/Agriculture/Aquaculture production (metric tons)", - "World/South Africa/CMR/Agriculture/Aquaculture production (metric tons)", - "World/Latam/COL/Agriculture/Aquaculture production (metric tons)", - "World/Latam/CRI/Agriculture/Aquaculture production (metric tons)", - "World/North Africa/EGY/Agriculture/Aquaculture production (metric tons)", - "World/Europe/FRA/Agriculture/Aquaculture production (metric tons)", - "World/South Africa/GHA/Agriculture/Aquaculture production (metric tons)", - "World/Asia/IDN/Agriculture/Aquaculture production (metric tons)", - "World/Asia/IND/Agriculture/Aquaculture production (metric tons)", - "World/Asia/KOR/Agriculture/Aquaculture production (metric tons)", - "World/Latam/MEX/Agriculture/Aquaculture production (metric tons)", - "World/South Africa/NGA/Agriculture/Aquaculture production (metric tons)", - "World/Latam/PER/Agriculture/Aquaculture production (metric tons)", - "World/Asia/PHL/Agriculture/Aquaculture production (metric tons)", - "World/Europe/POL/Agriculture/Aquaculture production (metric tons)", - "World/Persian Gulf/SAU/Agriculture/Aquaculture production (metric tons)", - "World/North Africa/TUR/Agriculture/Aquaculture production (metric tons)", - "World/Pair/USA/Agriculture/Aquaculture production (metric tons)", - "World/Latam/VEN/Agriculture/Aquaculture production (metric tons)", - "World/Asia/VNM/Agriculture/Aquaculture production (metric tons)", - "World/South Africa/ZAF/Agriculture/Aquaculture production (metric tons)", - "World/Europe/AUT/Agriculture/Arable land (% of land area)", - "World/Persian Gulf/AZE/Agriculture/Arable land (% of land area)", - "World/Asia/BGD/Agriculture/Arable land (% of land area)", - "World/Latam/BRA/Agriculture/Arable land (% of land area)", - "World/Latam/CHL/Agriculture/Arable land (% of land area)", - "World/Pair/CHN/Agriculture/Arable land (% of land area)", - "World/South Africa/CMR/Agriculture/Arable land (% of land area)", - "World/Latam/COL/Agriculture/Arable land (% of land area)", - "World/Latam/CRI/Agriculture/Arable land (% of land area)", - "World/South Africa/GHA/Agriculture/Arable land (% of land area)", - "World/Europe/GRC/Agriculture/Arable land (% of land area)", - "World/Asia/IDN/Agriculture/Arable land (% of land area)", - "World/Asia/IND/Agriculture/Arable land (% of land area)", - "World/Asia/KOR/Agriculture/Arable land (% of land area)", - "World/South Africa/LBR/Agriculture/Arable land (% of land area)", - "World/North Africa/MAR/Agriculture/Arable land (% of land area)", - "World/South Africa/MOZ/Agriculture/Arable land (% of land area)", - "World/Latam/PAN/Agriculture/Arable land (% of land area)", - "World/Europe/POL/Agriculture/Arable land (% of land area)", - "World/Europe/SWE/Agriculture/Arable land (% of land area)", - "World/North Africa/TUR/Agriculture/Arable land (% of land area)", - "World/Pair/USA/Agriculture/Arable land (% of land area)", - "World/Persian Gulf/YEM/Agriculture/Arable land (% of land area)", - "World/Persian Gulf/ARE/Agriculture/Arable land (hectares per person)", - "World/Latam/ARG/Agriculture/Arable land (hectares per person)", - "World/Europe/AUT/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/AZE/Agriculture/Arable land (hectares per person)", - "World/Asia/BGD/Agriculture/Arable land (hectares per person)", - "World/Latam/CHL/Agriculture/Arable land (hectares per person)", - "World/Pair/CHN/Agriculture/Arable land (hectares per person)", - "World/South Africa/CMR/Agriculture/Arable land (hectares per person)", - "World/Latam/COL/Agriculture/Arable land (hectares per person)", - "World/North Africa/DZA/Agriculture/Arable land (hectares per person)", - "World/North Africa/EGY/Agriculture/Arable land (hectares per person)", - "World/Europe/ESP/Agriculture/Arable land (hectares per person)", - "World/Europe/FRA/Agriculture/Arable land (hectares per person)", - "World/South Africa/GHA/Agriculture/Arable land (hectares per person)", - "World/Europe/GRC/Agriculture/Arable land (hectares per person)", - "World/Asia/IND/Agriculture/Arable land (hectares per person)", - "World/Asia/KOR/Agriculture/Arable land (hectares per person)", - "World/South Africa/LBR/Agriculture/Arable land (hectares per person)", - "World/North Africa/MAR/Agriculture/Arable land (hectares per person)", - "World/Latam/MEX/Agriculture/Arable land (hectares per person)", - "World/South Africa/MOZ/Agriculture/Arable land (hectares per person)", - "World/South Africa/NGA/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/OMN/Agriculture/Arable land (hectares per person)", - "World/Latam/PAN/Agriculture/Arable land (hectares per person)", - "World/Latam/PER/Agriculture/Arable land (hectares per person)", - "World/Asia/PHL/Agriculture/Arable land (hectares per person)", - "World/Europe/POL/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/QAT/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/SAU/Agriculture/Arable land (hectares per person)", - "World/Europe/SWE/Agriculture/Arable land (hectares per person)", - "World/North Africa/TUR/Agriculture/Arable land (hectares per person)", - "World/Pair/USA/Agriculture/Arable land (hectares per person)", - "World/Latam/VEN/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/YEM/Agriculture/Arable land (hectares per person)", - "World/South Africa/ZAF/Agriculture/Arable land (hectares per person)", - "World/Europe/AUT/Agriculture/Arable land (hectares)", - "World/Persian Gulf/AZE/Agriculture/Arable land (hectares)", - "World/Asia/BGD/Agriculture/Arable land (hectares)", - "World/Latam/BRA/Agriculture/Arable land (hectares)", - "World/Latam/CHL/Agriculture/Arable land (hectares)", - "World/Pair/CHN/Agriculture/Arable land (hectares)", - "World/South Africa/CMR/Agriculture/Arable land (hectares)", - "World/Latam/COL/Agriculture/Arable land (hectares)", - "World/Latam/CRI/Agriculture/Arable land (hectares)", - "World/South Africa/GHA/Agriculture/Arable land (hectares)", - "World/Europe/GRC/Agriculture/Arable land (hectares)", - "World/Asia/IDN/Agriculture/Arable land (hectares)", - "World/Asia/IND/Agriculture/Arable land (hectares)", - "World/Asia/KOR/Agriculture/Arable land (hectares)", - "World/South Africa/LBR/Agriculture/Arable land (hectares)", - "World/North Africa/MAR/Agriculture/Arable land (hectares)", - "World/South Africa/MOZ/Agriculture/Arable land (hectares)", - "World/Latam/PAN/Agriculture/Arable land (hectares)", - "World/Europe/POL/Agriculture/Arable land (hectares)", - "World/Europe/SWE/Agriculture/Arable land (hectares)", - "World/North Africa/TUR/Agriculture/Arable land (hectares)", - "World/Pair/USA/Agriculture/Arable land (hectares)", - "World/Persian Gulf/YEM/Agriculture/Arable land (hectares)", - "World/Persian Gulf/ARE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/ARG/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Persian Gulf/AZE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/BGD/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Pair/CHN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/CMR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/COL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/CRI/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Europe/DEU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/DZA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/EGY/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Europe/FRA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/GHA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Europe/HRV/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/IDN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/IND/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/ISR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/LBR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/MAR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/MEX/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/MOZ/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/NGA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/PAN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/PER/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/PHL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Europe/POL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Persian Gulf/SAU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/SEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/THA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/TUR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Pair/USA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/VEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/VNM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Persian Gulf/YEM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/ZAF/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Persian Gulf/ARE/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/BGD/Mortality/Births attended by skilled health staff (% of total)", - "World/Pair/CHN/Mortality/Births attended by skilled health staff (% of total)", - "World/Latam/CRI/Mortality/Births attended by skilled health staff (% of total)", - "World/North Africa/DZA/Mortality/Births attended by skilled health staff (% of total)", - "World/North Africa/EGY/Mortality/Births attended by skilled health staff (% of total)", - "World/South Africa/GHA/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/IDN/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/IND/Mortality/Births attended by skilled health staff (% of total)", - "World/North Africa/MAR/Mortality/Births attended by skilled health staff (% of total)", - "World/Latam/MEX/Mortality/Births attended by skilled health staff (% of total)", - "World/South Africa/MOZ/Mortality/Births attended by skilled health staff (% of total)", - "World/Latam/PER/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/PHL/Mortality/Births attended by skilled health staff (% of total)", - "World/Persian Gulf/SAU/Mortality/Births attended by skilled health staff (% of total)", - "World/North Africa/TUR/Mortality/Births attended by skilled health staff (% of total)", - "World/Pair/USA/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/VNM/Mortality/Births attended by skilled health staff (% of total)", - "World/Persian Gulf/YEM/Mortality/Births attended by skilled health staff (% of total)", - "World/South Africa/ZAF/Mortality/Births attended by skilled health staff (% of total)", - "World/Persian Gulf/ARE/Economy/Broad money (% of GDP)", - "World/Latam/ARG/Economy/Broad money (% of GDP)", - "World/Persian Gulf/AZE/Economy/Broad money (% of GDP)", - "World/Asia/BGD/Economy/Broad money (% of GDP)", - "World/Latam/BRA/Economy/Broad money (% of GDP)", - "World/Pair/CHN/Economy/Broad money (% of GDP)", - "World/South Africa/CMR/Economy/Broad money (% of GDP)", - "World/North Africa/DZA/Economy/Broad money (% of GDP)", - "World/Europe/GBR/Economy/Broad money (% of GDP)", - "World/Europe/HRV/Economy/Broad money (% of GDP)", - "World/Asia/IND/Economy/Broad money (% of GDP)", - "World/North Africa/ISR/Economy/Broad money (% of GDP)", - "World/Asia/KOR/Economy/Broad money (% of GDP)", - "World/North Africa/MAR/Economy/Broad money (% of GDP)", - "World/Latam/MEX/Economy/Broad money (% of GDP)", - "World/South Africa/MOZ/Economy/Broad money (% of GDP)", - "World/Latam/PER/Economy/Broad money (% of GDP)", - "World/Asia/PHL/Economy/Broad money (% of GDP)", - "World/Europe/POL/Economy/Broad money (% of GDP)", - "World/Persian Gulf/QAT/Economy/Broad money (% of GDP)", - "World/South Africa/SEN/Economy/Broad money (% of GDP)", - "World/North Africa/TUR/Economy/Broad money (% of GDP)", - "World/Pair/USA/Economy/Broad money (% of GDP)", - "World/Latam/VEN/Economy/Broad money (% of GDP)", - "World/Asia/VNM/Economy/Broad money (% of GDP)", - "World/Europe/AUT/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/BGD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Pair/CHN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Latam/CRI/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/DEU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/North Africa/EGY/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/FRA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/GBR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/GRC/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/HRV/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/IND/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/North Africa/ISR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/KOR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Latam/MEX/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/South Africa/NGA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/NLD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Latam/PAN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/PHL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/POL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/SWE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/THA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Pair/USA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/VNM/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/AUT/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/BGD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Pair/CHN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Latam/CRI/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/DEU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/North Africa/EGY/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/FRA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/GBR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/GRC/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/HRV/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/IND/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/North Africa/ISR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/KOR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Latam/MEX/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/South Africa/NGA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/NLD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Latam/PAN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/PHL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/POL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/SWE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/THA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Pair/USA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/VNM/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Latam/ARG/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/AUT/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/BGD/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/BRA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/CHL/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Pair/CHN/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/COL/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/CRI/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/DEU/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/North Africa/EGY/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/ESP/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/FRA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/GBR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/GRC/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/HRV/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/IDN/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/IND/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/North Africa/ISR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/KOR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/North Africa/MAR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/MEX/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/South Africa/NGA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/NLD/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/PAN/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/PER/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/POL/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/SWE/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/THA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/North Africa/TUR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Pair/USA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/South Africa/ZAF/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Persian Gulf/ARE/Environment/CO2 emissions (kt)", - "World/Latam/ARG/Environment/CO2 emissions (kt)", - "World/Asia/BGD/Environment/CO2 emissions (kt)", - "World/Latam/BRA/Environment/CO2 emissions (kt)", - "World/Latam/CHL/Environment/CO2 emissions (kt)", - "World/Pair/CHN/Environment/CO2 emissions (kt)", - "World/Latam/COL/Environment/CO2 emissions (kt)", - "World/Latam/CRI/Environment/CO2 emissions (kt)", - "World/Europe/DEU/Environment/CO2 emissions (kt)", - "World/North Africa/DZA/Environment/CO2 emissions (kt)", - "World/North Africa/EGY/Environment/CO2 emissions (kt)", - "World/Europe/GBR/Environment/CO2 emissions (kt)", - "World/South Africa/GHA/Environment/CO2 emissions (kt)", - "World/Asia/IDN/Environment/CO2 emissions (kt)", - "World/Asia/IND/Environment/CO2 emissions (kt)", - "World/Asia/KOR/Environment/CO2 emissions (kt)", - "World/South Africa/LBR/Environment/CO2 emissions (kt)", - "World/North Africa/MAR/Environment/CO2 emissions (kt)", - "World/Latam/MEX/Environment/CO2 emissions (kt)", - "World/South Africa/MOZ/Environment/CO2 emissions (kt)", - "World/South Africa/NGA/Environment/CO2 emissions (kt)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (kt)", - "World/Latam/PAN/Environment/CO2 emissions (kt)", - "World/Latam/PER/Environment/CO2 emissions (kt)", - "World/Asia/PHL/Environment/CO2 emissions (kt)", - "World/Persian Gulf/QAT/Environment/CO2 emissions (kt)", - "World/Persian Gulf/SAU/Environment/CO2 emissions (kt)", - "World/South Africa/SEN/Environment/CO2 emissions (kt)", - "World/Europe/SWE/Environment/CO2 emissions (kt)", - "World/Asia/THA/Environment/CO2 emissions (kt)", - "World/North Africa/TUR/Environment/CO2 emissions (kt)", - "World/Asia/VNM/Environment/CO2 emissions (kt)", - "World/South Africa/ZAF/Environment/CO2 emissions (kt)", - "World/Asia/BGD/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/BRA/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/CHL/Environment/CO2 emissions (metric tons per capita)", - "World/Pair/CHN/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/CRI/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/DEU/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/DZA/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/EGY/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/GBR/Environment/CO2 emissions (metric tons per capita)", - "World/South Africa/GHA/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/GRC/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/IDN/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/IND/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/ISR/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/KOR/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/MAR/Environment/CO2 emissions (metric tons per capita)", - "World/South Africa/MOZ/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/NLD/Environment/CO2 emissions (metric tons per capita)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/PAN/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/PER/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/PHL/Environment/CO2 emissions (metric tons per capita)", - "World/Persian Gulf/SAU/Environment/CO2 emissions (metric tons per capita)", - "World/South Africa/SEN/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/SWE/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/THA/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/TUR/Environment/CO2 emissions (metric tons per capita)", - "World/Pair/USA/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/VNM/Environment/CO2 emissions (metric tons per capita)", - "World/Persian Gulf/ARE/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/ARG/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/AZE/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/BGD/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/BRA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Pair/CHN/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/COL/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/DZA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/EGY/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Europe/ESP/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/IND/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/ISR/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/KOR/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/MAR/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/MEX/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/South Africa/NGA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Europe/NLD/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/OMN/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/PER/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Europe/POL/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/QAT/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/SAU/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/THA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/TUR/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Pair/USA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/VNM/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/ARE/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/BGD/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/BRA/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/CHL/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Pair/CHN/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/South Africa/CMR/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/CRI/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/North Africa/DZA/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/North Africa/EGY/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Europe/GBR/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/South Africa/GHA/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/IDN/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/IND/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/North Africa/MAR/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/South Africa/MOZ/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Europe/NLD/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Persian Gulf/OMN/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/PAN/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/PER/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/PHL/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Europe/POL/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Persian Gulf/SAU/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/THA/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/VNM/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Persian Gulf/ARE/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Europe/AUT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Asia/BGD/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Latam/BRA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Latam/CHL/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Pair/CHN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/South Africa/CMR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Asia/IDN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Asia/IND/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Asia/KOR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/North Africa/MAR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Latam/MEX/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/South Africa/NGA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Persian Gulf/OMN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Persian Gulf/QAT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Persian Gulf/SAU/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/South Africa/SEN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Asia/VNM/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Persian Gulf/ARE/Industry/Capture fisheries production (metric tons)", - "World/Persian Gulf/AZE/Industry/Capture fisheries production (metric tons)", - "World/Asia/BGD/Industry/Capture fisheries production (metric tons)", - "World/Latam/CHL/Industry/Capture fisheries production (metric tons)", - "World/South Africa/CMR/Industry/Capture fisheries production (metric tons)", - "World/Latam/CRI/Industry/Capture fisheries production (metric tons)", - "World/Europe/GRC/Industry/Capture fisheries production (metric tons)", - "World/Europe/HRV/Industry/Capture fisheries production (metric tons)", - "World/Asia/IDN/Industry/Capture fisheries production (metric tons)", - "World/Asia/IND/Industry/Capture fisheries production (metric tons)", - "World/North Africa/ISR/Industry/Capture fisheries production (metric tons)", - "World/North Africa/MAR/Industry/Capture fisheries production (metric tons)", - "World/South Africa/MOZ/Industry/Capture fisheries production (metric tons)", - "World/South Africa/NGA/Industry/Capture fisheries production (metric tons)", - "World/Persian Gulf/OMN/Industry/Capture fisheries production (metric tons)", - "World/Asia/PHL/Industry/Capture fisheries production (metric tons)", - "World/Persian Gulf/SAU/Industry/Capture fisheries production (metric tons)", - "World/Asia/THA/Industry/Capture fisheries production (metric tons)", - "World/Asia/VNM/Industry/Capture fisheries production (metric tons)", - "World/Asia/BGD/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/BRA/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/CHL/Agriculture/Cereal yield (kg per hectare)", - "World/Pair/CHN/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/COL/Agriculture/Cereal yield (kg per hectare)", - "World/South Africa/GHA/Agriculture/Cereal yield (kg per hectare)", - "World/Asia/IDN/Agriculture/Cereal yield (kg per hectare)", - "World/Asia/IND/Agriculture/Cereal yield (kg per hectare)", - "World/North Africa/ISR/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/MEX/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/PAN/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/PER/Agriculture/Cereal yield (kg per hectare)", - "World/Asia/PHL/Agriculture/Cereal yield (kg per hectare)", - "World/Persian Gulf/QAT/Agriculture/Cereal yield (kg per hectare)", - "World/Persian Gulf/SAU/Agriculture/Cereal yield (kg per hectare)", - "World/North Africa/TUR/Agriculture/Cereal yield (kg per hectare)", - "World/Pair/USA/Agriculture/Cereal yield (kg per hectare)", - "World/Asia/VNM/Agriculture/Cereal yield (kg per hectare)", - "World/Europe/AUT/Environment/Combustible renewables and waste (% of total energy)", - "World/Persian Gulf/AZE/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/BGD/Environment/Combustible renewables and waste (% of total energy)", - "World/Pair/CHN/Environment/Combustible renewables and waste (% of total energy)", - "World/Latam/COL/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/DEU/Environment/Combustible renewables and waste (% of total energy)", - "World/North Africa/DZA/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/GBR/Environment/Combustible renewables and waste (% of total energy)", - "World/South Africa/GHA/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/IDN/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/IND/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/KOR/Environment/Combustible renewables and waste (% of total energy)", - "World/North Africa/MAR/Environment/Combustible renewables and waste (% of total energy)", - "World/Latam/MEX/Environment/Combustible renewables and waste (% of total energy)", - "World/South Africa/MOZ/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/NLD/Environment/Combustible renewables and waste (% of total energy)", - "World/Latam/PAN/Environment/Combustible renewables and waste (% of total energy)", - "World/Latam/PER/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/PHL/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/POL/Environment/Combustible renewables and waste (% of total energy)", - "World/Persian Gulf/SAU/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/SWE/Environment/Combustible renewables and waste (% of total energy)", - "World/North Africa/TUR/Environment/Combustible renewables and waste (% of total energy)", - "World/Pair/USA/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/VNM/Environment/Combustible renewables and waste (% of total energy)", - "World/Persian Gulf/ARE/Economy/Commercial bank branches (per 100,000 adults)", - "World/Asia/BGD/Economy/Commercial bank branches (per 100,000 adults)", - "World/Pair/CHN/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/CMR/Economy/Commercial bank branches (per 100,000 adults)", - "World/Latam/CRI/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/DEU/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/DZA/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/EGY/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/FRA/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/GBR/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/GHA/Economy/Commercial bank branches (per 100,000 adults)", - "World/Asia/IDN/Economy/Commercial bank branches (per 100,000 adults)", - "World/Asia/IND/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/ISR/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/MAR/Economy/Commercial bank branches (per 100,000 adults)", - "World/Latam/MEX/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/MOZ/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/NLD/Economy/Commercial bank branches (per 100,000 adults)", - "World/Persian Gulf/OMN/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/POL/Economy/Commercial bank branches (per 100,000 adults)", - "World/Persian Gulf/QAT/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/SEN/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/TUR/Economy/Commercial bank branches (per 100,000 adults)", - "World/Pair/USA/Economy/Commercial bank branches (per 100,000 adults)", - "World/Persian Gulf/YEM/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/ZAF/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/AUT/Exports/Commercial service exports (current US$)", - "World/Persian Gulf/AZE/Exports/Commercial service exports (current US$)", - "World/Asia/BGD/Exports/Commercial service exports (current US$)", - "World/Latam/BRA/Exports/Commercial service exports (current US$)", - "World/Latam/CHL/Exports/Commercial service exports (current US$)", - "World/Pair/CHN/Exports/Commercial service exports (current US$)", - "World/South Africa/CMR/Exports/Commercial service exports (current US$)", - "World/Latam/COL/Exports/Commercial service exports (current US$)", - "World/Latam/CRI/Exports/Commercial service exports (current US$)", - "World/Europe/DEU/Exports/Commercial service exports (current US$)", - "World/North Africa/DZA/Exports/Commercial service exports (current US$)", - "World/Europe/ESP/Exports/Commercial service exports (current US$)", - "World/Europe/FRA/Exports/Commercial service exports (current US$)", - "World/Europe/GBR/Exports/Commercial service exports (current US$)", - "World/South Africa/GHA/Exports/Commercial service exports (current US$)", - "World/Europe/GRC/Exports/Commercial service exports (current US$)", - "World/Europe/HRV/Exports/Commercial service exports (current US$)", - "World/Asia/IDN/Exports/Commercial service exports (current US$)", - "World/Asia/IND/Exports/Commercial service exports (current US$)", - "World/North Africa/ISR/Exports/Commercial service exports (current US$)", - "World/Asia/KOR/Exports/Commercial service exports (current US$)", - "World/North Africa/MAR/Exports/Commercial service exports (current US$)", - "World/Europe/NLD/Exports/Commercial service exports (current US$)", - "World/Persian Gulf/OMN/Exports/Commercial service exports (current US$)", - "World/Latam/PAN/Exports/Commercial service exports (current US$)", - "World/Latam/PER/Exports/Commercial service exports (current US$)", - "World/Asia/PHL/Exports/Commercial service exports (current US$)", - "World/Europe/POL/Exports/Commercial service exports (current US$)", - "World/Persian Gulf/QAT/Exports/Commercial service exports (current US$)", - "World/South Africa/SEN/Exports/Commercial service exports (current US$)", - "World/Europe/SWE/Exports/Commercial service exports (current US$)", - "World/Asia/THA/Exports/Commercial service exports (current US$)", - "World/North Africa/TUR/Exports/Commercial service exports (current US$)", - "World/Pair/USA/Exports/Commercial service exports (current US$)", - "World/Asia/VNM/Exports/Commercial service exports (current US$)", - "World/South Africa/ZAF/Exports/Commercial service exports (current US$)", - "World/Latam/ARG/Imports/Commercial service imports (current US$)", - "World/Europe/AUT/Imports/Commercial service imports (current US$)", - "World/Persian Gulf/AZE/Imports/Commercial service imports (current US$)", - "World/Asia/BGD/Imports/Commercial service imports (current US$)", - "World/Latam/BRA/Imports/Commercial service imports (current US$)", - "World/Latam/CHL/Imports/Commercial service imports (current US$)", - "World/Pair/CHN/Imports/Commercial service imports (current US$)", - "World/South Africa/CMR/Imports/Commercial service imports (current US$)", - "World/Latam/COL/Imports/Commercial service imports (current US$)", - "World/Latam/CRI/Imports/Commercial service imports (current US$)", - "World/Europe/DEU/Imports/Commercial service imports (current US$)", - "World/North Africa/DZA/Imports/Commercial service imports (current US$)", - "World/North Africa/EGY/Imports/Commercial service imports (current US$)", - "World/Europe/ESP/Imports/Commercial service imports (current US$)", - "World/Europe/FRA/Imports/Commercial service imports (current US$)", - "World/Europe/GBR/Imports/Commercial service imports (current US$)", - "World/South Africa/GHA/Imports/Commercial service imports (current US$)", - "World/Europe/HRV/Imports/Commercial service imports (current US$)", - "World/Asia/IDN/Imports/Commercial service imports (current US$)", - "World/Asia/IND/Imports/Commercial service imports (current US$)", - "World/North Africa/ISR/Imports/Commercial service imports (current US$)", - "World/Asia/KOR/Imports/Commercial service imports (current US$)", - "World/North Africa/MAR/Imports/Commercial service imports (current US$)", - "World/Latam/MEX/Imports/Commercial service imports (current US$)", - "World/South Africa/MOZ/Imports/Commercial service imports (current US$)", - "World/South Africa/NGA/Imports/Commercial service imports (current US$)", - "World/Europe/NLD/Imports/Commercial service imports (current US$)", - "World/Persian Gulf/OMN/Imports/Commercial service imports (current US$)", - "World/Latam/PAN/Imports/Commercial service imports (current US$)", - "World/Latam/PER/Imports/Commercial service imports (current US$)", - "World/Asia/PHL/Imports/Commercial service imports (current US$)", - "World/Europe/POL/Imports/Commercial service imports (current US$)", - "World/Persian Gulf/QAT/Imports/Commercial service imports (current US$)", - "World/South Africa/SEN/Imports/Commercial service imports (current US$)", - "World/Europe/SWE/Imports/Commercial service imports (current US$)", - "World/Asia/THA/Imports/Commercial service imports (current US$)", - "World/North Africa/TUR/Imports/Commercial service imports (current US$)", - "World/Pair/USA/Imports/Commercial service imports (current US$)", - "World/Asia/VNM/Imports/Commercial service imports (current US$)", - "World/South Africa/ZAF/Imports/Commercial service imports (current US$)", - "World/Latam/ARG/Demoraphy/Completeness of birth registration (%)", - "World/Asia/BGD/Demoraphy/Completeness of birth registration (%)", - "World/Latam/BRA/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/CMR/Demoraphy/Completeness of birth registration (%)", - "World/Latam/COL/Demoraphy/Completeness of birth registration (%)", - "World/Latam/CRI/Demoraphy/Completeness of birth registration (%)", - "World/North Africa/DZA/Demoraphy/Completeness of birth registration (%)", - "World/North Africa/EGY/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/GHA/Demoraphy/Completeness of birth registration (%)", - "World/Asia/IND/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/LBR/Demoraphy/Completeness of birth registration (%)", - "World/North Africa/MAR/Demoraphy/Completeness of birth registration (%)", - "World/Latam/MEX/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/MOZ/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/NGA/Demoraphy/Completeness of birth registration (%)", - "World/Latam/PAN/Demoraphy/Completeness of birth registration (%)", - "World/Latam/PER/Demoraphy/Completeness of birth registration (%)", - "World/Asia/PHL/Demoraphy/Completeness of birth registration (%)", - "World/North Africa/TUR/Demoraphy/Completeness of birth registration (%)", - "World/Latam/VEN/Demoraphy/Completeness of birth registration (%)", - "World/Asia/VNM/Demoraphy/Completeness of birth registration (%)", - "World/Persian Gulf/ARE/Economy/Consumer price index (2010 = 100)", - "World/Europe/AUT/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/AZE/Economy/Consumer price index (2010 = 100)", - "World/Asia/BGD/Economy/Consumer price index (2010 = 100)", - "World/Latam/BRA/Economy/Consumer price index (2010 = 100)", - "World/Latam/CHL/Economy/Consumer price index (2010 = 100)", - "World/Pair/CHN/Economy/Consumer price index (2010 = 100)", - "World/South Africa/CMR/Economy/Consumer price index (2010 = 100)", - "World/Latam/COL/Economy/Consumer price index (2010 = 100)", - "World/Latam/CRI/Economy/Consumer price index (2010 = 100)", - "World/Europe/DEU/Economy/Consumer price index (2010 = 100)", - "World/North Africa/DZA/Economy/Consumer price index (2010 = 100)", - "World/North Africa/EGY/Economy/Consumer price index (2010 = 100)", - "World/Europe/ESP/Economy/Consumer price index (2010 = 100)", - "World/Europe/FRA/Economy/Consumer price index (2010 = 100)", - "World/Europe/GBR/Economy/Consumer price index (2010 = 100)", - "World/South Africa/GHA/Economy/Consumer price index (2010 = 100)", - "World/Europe/GRC/Economy/Consumer price index (2010 = 100)", - "World/Asia/IDN/Economy/Consumer price index (2010 = 100)", - "World/Asia/IND/Economy/Consumer price index (2010 = 100)", - "World/North Africa/ISR/Economy/Consumer price index (2010 = 100)", - "World/Asia/KOR/Economy/Consumer price index (2010 = 100)", - "World/South Africa/LBR/Economy/Consumer price index (2010 = 100)", - "World/North Africa/MAR/Economy/Consumer price index (2010 = 100)", - "World/Latam/MEX/Economy/Consumer price index (2010 = 100)", - "World/South Africa/MOZ/Economy/Consumer price index (2010 = 100)", - "World/South Africa/NGA/Economy/Consumer price index (2010 = 100)", - "World/Europe/NLD/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/OMN/Economy/Consumer price index (2010 = 100)", - "World/Latam/PAN/Economy/Consumer price index (2010 = 100)", - "World/Latam/PER/Economy/Consumer price index (2010 = 100)", - "World/Asia/PHL/Economy/Consumer price index (2010 = 100)", - "World/Europe/POL/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/QAT/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/SAU/Economy/Consumer price index (2010 = 100)", - "World/South Africa/SEN/Economy/Consumer price index (2010 = 100)", - "World/Europe/SWE/Economy/Consumer price index (2010 = 100)", - "World/Asia/THA/Economy/Consumer price index (2010 = 100)", - "World/North Africa/TUR/Economy/Consumer price index (2010 = 100)", - "World/Pair/USA/Economy/Consumer price index (2010 = 100)", - "World/Latam/VEN/Economy/Consumer price index (2010 = 100)", - "World/Asia/VNM/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/YEM/Economy/Consumer price index (2010 = 100)", - "World/South Africa/ZAF/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/ARE/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/BGD/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/CHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Pair/CHN/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/CMR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/COL/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/CRI/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/DEU/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/ESP/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/FRA/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/GBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/GHA/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/IDN/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/IND/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/North Africa/ISR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/KOR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/LBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/North Africa/MAR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/MEX/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/MOZ/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/NLD/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Persian Gulf/OMN/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/PAN/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/PER/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/PHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/POL/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Persian Gulf/QAT/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Persian Gulf/SAU/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/SWE/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/THA/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/North Africa/TUR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Pair/USA/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/VNM/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/ZAF/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Persian Gulf/AZE/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/BGD/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/BRA/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/CHL/Agriculture/Crop production index (2014-2016 = 100)", - "World/Pair/CHN/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/CMR/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/COL/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/CRI/Agriculture/Crop production index (2014-2016 = 100)", - "World/North Africa/DZA/Agriculture/Crop production index (2014-2016 = 100)", - "World/North Africa/EGY/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/GHA/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/IDN/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/IND/Agriculture/Crop production index (2014-2016 = 100)", - "World/North Africa/MAR/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/MEX/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/MOZ/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/NGA/Agriculture/Crop production index (2014-2016 = 100)", - "World/Persian Gulf/OMN/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/PER/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/PHL/Agriculture/Crop production index (2014-2016 = 100)", - "World/Persian Gulf/QAT/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/SEN/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/THA/Agriculture/Crop production index (2014-2016 = 100)", - "World/North Africa/TUR/Agriculture/Crop production index (2014-2016 = 100)", - "World/Pair/USA/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/VNM/Agriculture/Crop production index (2014-2016 = 100)", - "World/Persian Gulf/YEM/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/ARG/Health/Current health expenditure (% of GDP)", - "World/Europe/AUT/Health/Current health expenditure (% of GDP)", - "World/Latam/CHL/Health/Current health expenditure (% of GDP)", - "World/Pair/CHN/Health/Current health expenditure (% of GDP)", - "World/South Africa/CMR/Health/Current health expenditure (% of GDP)", - "World/Latam/COL/Health/Current health expenditure (% of GDP)", - "World/Latam/CRI/Health/Current health expenditure (% of GDP)", - "World/Europe/ESP/Health/Current health expenditure (% of GDP)", - "World/Europe/FRA/Health/Current health expenditure (% of GDP)", - "World/Europe/GBR/Health/Current health expenditure (% of GDP)", - "World/Europe/GRC/Health/Current health expenditure (% of GDP)", - "World/Asia/IDN/Health/Current health expenditure (% of GDP)", - "World/Asia/IND/Health/Current health expenditure (% of GDP)", - "World/Asia/KOR/Health/Current health expenditure (% of GDP)", - "World/South Africa/MOZ/Health/Current health expenditure (% of GDP)", - "World/Europe/NLD/Health/Current health expenditure (% of GDP)", - "World/Latam/PER/Health/Current health expenditure (% of GDP)", - "World/Europe/POL/Health/Current health expenditure (% of GDP)", - "World/Europe/SWE/Health/Current health expenditure (% of GDP)", - "World/Asia/THA/Health/Current health expenditure (% of GDP)", - "World/Pair/USA/Health/Current health expenditure (% of GDP)", - "World/Asia/VNM/Health/Current health expenditure (% of GDP)", - "World/Persian Gulf/YEM/Health/Current health expenditure (% of GDP)", - "World/Persian Gulf/ARE/Health/Current health expenditure per capita (current US$)", - "World/Latam/ARG/Health/Current health expenditure per capita (current US$)", - "World/Europe/AUT/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Health/Current health expenditure per capita (current US$)", - "World/Asia/BGD/Health/Current health expenditure per capita (current US$)", - "World/Latam/BRA/Health/Current health expenditure per capita (current US$)", - "World/Latam/CHL/Health/Current health expenditure per capita (current US$)", - "World/Pair/CHN/Health/Current health expenditure per capita (current US$)", - "World/South Africa/CMR/Health/Current health expenditure per capita (current US$)", - "World/Latam/COL/Health/Current health expenditure per capita (current US$)", - "World/Latam/CRI/Health/Current health expenditure per capita (current US$)", - "World/Europe/DEU/Health/Current health expenditure per capita (current US$)", - "World/North Africa/DZA/Health/Current health expenditure per capita (current US$)", - "World/Europe/ESP/Health/Current health expenditure per capita (current US$)", - "World/Europe/FRA/Health/Current health expenditure per capita (current US$)", - "World/Europe/GBR/Health/Current health expenditure per capita (current US$)", - "World/South Africa/GHA/Health/Current health expenditure per capita (current US$)", - "World/Europe/GRC/Health/Current health expenditure per capita (current US$)", - "World/Europe/HRV/Health/Current health expenditure per capita (current US$)", - "World/Asia/IDN/Health/Current health expenditure per capita (current US$)", - "World/Asia/IND/Health/Current health expenditure per capita (current US$)", - "World/North Africa/ISR/Health/Current health expenditure per capita (current US$)", - "World/Asia/KOR/Health/Current health expenditure per capita (current US$)", - "World/South Africa/LBR/Health/Current health expenditure per capita (current US$)", - "World/North Africa/MAR/Health/Current health expenditure per capita (current US$)", - "World/Latam/MEX/Health/Current health expenditure per capita (current US$)", - "World/South Africa/MOZ/Health/Current health expenditure per capita (current US$)", - "World/South Africa/NGA/Health/Current health expenditure per capita (current US$)", - "World/Europe/NLD/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/OMN/Health/Current health expenditure per capita (current US$)", - "World/Latam/PAN/Health/Current health expenditure per capita (current US$)", - "World/Latam/PER/Health/Current health expenditure per capita (current US$)", - "World/Asia/PHL/Health/Current health expenditure per capita (current US$)", - "World/Europe/POL/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/QAT/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/SAU/Health/Current health expenditure per capita (current US$)", - "World/South Africa/SEN/Health/Current health expenditure per capita (current US$)", - "World/Europe/SWE/Health/Current health expenditure per capita (current US$)", - "World/Asia/THA/Health/Current health expenditure per capita (current US$)", - "World/Pair/USA/Health/Current health expenditure per capita (current US$)", - "World/Latam/VEN/Health/Current health expenditure per capita (current US$)", - "World/Asia/VNM/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/YEM/Health/Current health expenditure per capita (current US$)", - "World/South Africa/ZAF/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/BGD/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/CHL/Economy/Customs and other import duties (% of tax revenue)", - "World/Pair/CHN/Economy/Customs and other import duties (% of tax revenue)", - "World/South Africa/CMR/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/COL/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/CRI/Economy/Customs and other import duties (% of tax revenue)", - "World/North Africa/EGY/Economy/Customs and other import duties (% of tax revenue)", - "World/Europe/ESP/Economy/Customs and other import duties (% of tax revenue)", - "World/Europe/HRV/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/IND/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/KOR/Economy/Customs and other import duties (% of tax revenue)", - "World/North Africa/MAR/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/MEX/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/PAN/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/PER/Economy/Customs and other import duties (% of tax revenue)", - "World/Europe/POL/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/THA/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/BGD/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/CHL/Economy/Domestic credit to private sector (% of GDP)", - "World/Pair/CHN/Economy/Domestic credit to private sector (% of GDP)", - "World/South Africa/CMR/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/COL/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/CRI/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/DEU/Economy/Domestic credit to private sector (% of GDP)", - "World/North Africa/DZA/Economy/Domestic credit to private sector (% of GDP)", - "World/North Africa/EGY/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/FRA/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/GRC/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/HRV/Economy/Domestic credit to private sector (% of GDP)", - "World/Asia/IND/Economy/Domestic credit to private sector (% of GDP)", - "World/Asia/KOR/Economy/Domestic credit to private sector (% of GDP)", - "World/South Africa/LBR/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/MEX/Economy/Domestic credit to private sector (% of GDP)", - "World/Persian Gulf/OMN/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/PER/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/POL/Economy/Domestic credit to private sector (% of GDP)", - "World/Persian Gulf/QAT/Economy/Domestic credit to private sector (% of GDP)", - "World/Persian Gulf/SAU/Economy/Domestic credit to private sector (% of GDP)", - "World/South Africa/SEN/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/SWE/Economy/Domestic credit to private sector (% of GDP)", - "World/North Africa/TUR/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/VEN/Economy/Domestic credit to private sector (% of GDP)", - "World/Asia/VNM/Economy/Domestic credit to private sector (% of GDP)", - "World/Persian Gulf/ARE/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Persian Gulf/AZE/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Asia/BGD/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/CHL/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Pair/CHN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/South Africa/CMR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/COL/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/CRI/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/DEU/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/North Africa/DZA/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/North Africa/EGY/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/GRC/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/HRV/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Asia/IND/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Asia/KOR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/South Africa/LBR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/North Africa/MAR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/MEX/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Persian Gulf/OMN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/PAN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/PER/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/POL/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Persian Gulf/QAT/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Persian Gulf/SAU/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/South Africa/SEN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/SWE/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/North Africa/TUR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/VEN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Asia/VNM/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/ARG/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/AUT/Health/Domestic general government health expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/BGD/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/BRA/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/CHL/Health/Domestic general government health expenditure per capita (current US$)", - "World/Pair/CHN/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/COL/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/CRI/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/DEU/Health/Domestic general government health expenditure per capita (current US$)", - "World/North Africa/DZA/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/ESP/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/FRA/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/GBR/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/GRC/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/HRV/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/IDN/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/IND/Health/Domestic general government health expenditure per capita (current US$)", - "World/North Africa/ISR/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/KOR/Health/Domestic general government health expenditure per capita (current US$)", - "World/South Africa/LBR/Health/Domestic general government health expenditure per capita (current US$)", - "World/North Africa/MAR/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/MEX/Health/Domestic general government health expenditure per capita (current US$)", - "World/South Africa/MOZ/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/NLD/Health/Domestic general government health expenditure per capita (current US$)", - "World/Persian Gulf/OMN/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/PAN/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/PER/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/PHL/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/POL/Health/Domestic general government health expenditure per capita (current US$)", - "World/Persian Gulf/QAT/Health/Domestic general government health expenditure per capita (current US$)", - "World/Persian Gulf/SAU/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/SWE/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/THA/Health/Domestic general government health expenditure per capita (current US$)", - "World/North Africa/TUR/Health/Domestic general government health expenditure per capita (current US$)", - "World/Pair/USA/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/VNM/Health/Domestic general government health expenditure per capita (current US$)", - "World/South Africa/ZAF/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/ARG/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/AUT/Health/Domestic private health expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/BGD/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/BRA/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/CHL/Health/Domestic private health expenditure per capita (current US$)", - "World/Pair/CHN/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/CMR/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/COL/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/CRI/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/DEU/Health/Domestic private health expenditure per capita (current US$)", - "World/North Africa/DZA/Health/Domestic private health expenditure per capita (current US$)", - "World/North Africa/EGY/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/ESP/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/FRA/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/GBR/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/GHA/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/HRV/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/IDN/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/IND/Health/Domestic private health expenditure per capita (current US$)", - "World/North Africa/ISR/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/KOR/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/LBR/Health/Domestic private health expenditure per capita (current US$)", - "World/North Africa/MAR/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/NGA/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/NLD/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/PAN/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/PER/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/PHL/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/POL/Health/Domestic private health expenditure per capita (current US$)", - "World/Persian Gulf/QAT/Health/Domestic private health expenditure per capita (current US$)", - "World/Persian Gulf/SAU/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/SEN/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/SWE/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/THA/Health/Domestic private health expenditure per capita (current US$)", - "World/Pair/USA/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/VNM/Health/Domestic private health expenditure per capita (current US$)", - "World/Persian Gulf/YEM/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/ZAF/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/AUT/Environment/Electric power consumption (kWh per capita)", - "World/Asia/BGD/Environment/Electric power consumption (kWh per capita)", - "World/Latam/BRA/Environment/Electric power consumption (kWh per capita)", - "World/Latam/CHL/Environment/Electric power consumption (kWh per capita)", - "World/Pair/CHN/Environment/Electric power consumption (kWh per capita)", - "World/South Africa/CMR/Environment/Electric power consumption (kWh per capita)", - "World/Latam/COL/Environment/Electric power consumption (kWh per capita)", - "World/Latam/CRI/Environment/Electric power consumption (kWh per capita)", - "World/North Africa/DZA/Environment/Electric power consumption (kWh per capita)", - "World/North Africa/EGY/Environment/Electric power consumption (kWh per capita)", - "World/Europe/GBR/Environment/Electric power consumption (kWh per capita)", - "World/Europe/GRC/Environment/Electric power consumption (kWh per capita)", - "World/Europe/HRV/Environment/Electric power consumption (kWh per capita)", - "World/Asia/IDN/Environment/Electric power consumption (kWh per capita)", - "World/Asia/IND/Environment/Electric power consumption (kWh per capita)", - "World/Asia/KOR/Environment/Electric power consumption (kWh per capita)", - "World/North Africa/MAR/Environment/Electric power consumption (kWh per capita)", - "World/Latam/MEX/Environment/Electric power consumption (kWh per capita)", - "World/South Africa/MOZ/Environment/Electric power consumption (kWh per capita)", - "World/South Africa/NGA/Environment/Electric power consumption (kWh per capita)", - "World/Persian Gulf/OMN/Environment/Electric power consumption (kWh per capita)", - "World/Latam/PAN/Environment/Electric power consumption (kWh per capita)", - "World/Latam/PER/Environment/Electric power consumption (kWh per capita)", - "World/Asia/PHL/Environment/Electric power consumption (kWh per capita)", - "World/Europe/POL/Environment/Electric power consumption (kWh per capita)", - "World/Persian Gulf/SAU/Environment/Electric power consumption (kWh per capita)", - "World/South Africa/SEN/Environment/Electric power consumption (kWh per capita)", - "World/Europe/SWE/Environment/Electric power consumption (kWh per capita)", - "World/Asia/THA/Environment/Electric power consumption (kWh per capita)", - "World/North Africa/TUR/Environment/Electric power consumption (kWh per capita)", - "World/Asia/VNM/Environment/Electric power consumption (kWh per capita)", - "World/Persian Gulf/YEM/Environment/Electric power consumption (kWh per capita)", - "World/Persian Gulf/ARE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/ARG/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/AUT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/AZE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/BGD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/BRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/CHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Pair/CHN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/CMR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/COL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/CRI/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/DEU/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/DZA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/EGY/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/ESP/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/FRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/GBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/GHA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/IDN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/IND/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/ISR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/KOR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/LBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/MAR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/MEX/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/MOZ/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/NGA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/NLD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/OMN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/PAN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/PER/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/PHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/POL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/QAT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/SEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/SWE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/TUR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/VEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/VNM/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/ZAF/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/ARG/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/AUT/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/AZE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/BGD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Latam/BRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Pair/CHN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/South Africa/CMR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Latam/CRI/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/DEU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/North Africa/DZA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/North Africa/EGY/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/ESP/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/FRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/GBR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/GRC/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/HRV/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/IDN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/IND/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/North Africa/ISR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/KOR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/North Africa/MAR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/South Africa/MOZ/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/NLD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/OMN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/POL/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/SAU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/South Africa/SEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/SWE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Pair/USA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Latam/VEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/VNM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/YEM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/South Africa/ZAF/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/ARE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/ARG/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/AUT/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/BGD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/BRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/CHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Pair/CHN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/CMR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/COL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/CRI/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/DEU/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/DZA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/EGY/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/ESP/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/FRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/GBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/GHA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/GRC/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/HRV/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/IDN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/IND/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/ISR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/KOR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/LBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/MAR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/MEX/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/MOZ/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/NGA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/NLD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/OMN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/PAN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/PER/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/PHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/POL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/SEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/SWE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/THA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/TUR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Pair/USA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/VEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/VNM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/YEM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/ZAF/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/AZE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/BGD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Pair/CHN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/South Africa/CMR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/CRI/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/DEU/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/North Africa/DZA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/GBR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/South Africa/GHA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/IDN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/IND/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/North Africa/ISR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/KOR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/MEX/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/South Africa/MOZ/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/South Africa/NGA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/NLD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Persian Gulf/OMN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/PAN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/PER/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/PHL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/POL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/SWE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/THA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/North Africa/TUR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Pair/USA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/VEN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/BGD/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/BRA/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/CHL/Environment/Energy use (kg of oil equivalent per capita)", - "World/Pair/CHN/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/CRI/Environment/Energy use (kg of oil equivalent per capita)", - "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent per capita)", - "World/Europe/GBR/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/IDN/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/IND/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/KOR/Environment/Energy use (kg of oil equivalent per capita)", - "World/North Africa/MAR/Environment/Energy use (kg of oil equivalent per capita)", - "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent per capita)", - "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent per capita)", - "World/Europe/NLD/Environment/Energy use (kg of oil equivalent per capita)", - "World/Persian Gulf/OMN/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/PAN/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/PER/Environment/Energy use (kg of oil equivalent per capita)", - "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/THA/Environment/Energy use (kg of oil equivalent per capita)", - "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent per capita)", - "World/Pair/USA/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/VNM/Environment/Energy use (kg of oil equivalent per capita)", - "World/Europe/AUT/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Persian Gulf/AZE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/BGD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Pair/CHN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/CMR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Latam/COL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Latam/CRI/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/DEU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/ESP/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/FRA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/GBR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/GHA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/HRV/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/IDN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/IND/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/North Africa/ISR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/KOR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Latam/MEX/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/NLD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Latam/PAN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/PHL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/POL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/SWE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Pair/USA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/ZAF/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Persian Gulf/ARE/Exports/Export unit value index (2000 = 100)", - "World/Europe/AUT/Exports/Export unit value index (2000 = 100)", - "World/Persian Gulf/AZE/Exports/Export unit value index (2000 = 100)", - "World/Asia/BGD/Exports/Export unit value index (2000 = 100)", - "World/Latam/BRA/Exports/Export unit value index (2000 = 100)", - "World/Latam/CRI/Exports/Export unit value index (2000 = 100)", - "World/Europe/DEU/Exports/Export unit value index (2000 = 100)", - "World/North Africa/DZA/Exports/Export unit value index (2000 = 100)", - "World/Europe/ESP/Exports/Export unit value index (2000 = 100)", - "World/Europe/FRA/Exports/Export unit value index (2000 = 100)", - "World/South Africa/GHA/Exports/Export unit value index (2000 = 100)", - "World/Europe/GRC/Exports/Export unit value index (2000 = 100)", - "World/Europe/HRV/Exports/Export unit value index (2000 = 100)", - "World/Latam/MEX/Exports/Export unit value index (2000 = 100)", - "World/Europe/NLD/Exports/Export unit value index (2000 = 100)", - "World/Latam/PAN/Exports/Export unit value index (2000 = 100)", - "World/Europe/POL/Exports/Export unit value index (2000 = 100)", - "World/Europe/SWE/Exports/Export unit value index (2000 = 100)", - "World/Asia/THA/Exports/Export unit value index (2000 = 100)", - "World/Asia/VNM/Exports/Export unit value index (2000 = 100)", - "World/Persian Gulf/YEM/Exports/Export unit value index (2000 = 100)", - "World/South Africa/ZAF/Exports/Export unit value index (2000 = 100)", - "World/Persian Gulf/ARE/Exports/Export value index (2000 = 100)", - "World/Europe/AUT/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/AZE/Exports/Export value index (2000 = 100)", - "World/Asia/BGD/Exports/Export value index (2000 = 100)", - "World/Latam/BRA/Exports/Export value index (2000 = 100)", - "World/Latam/CHL/Exports/Export value index (2000 = 100)", - "World/Pair/CHN/Exports/Export value index (2000 = 100)", - "World/Latam/COL/Exports/Export value index (2000 = 100)", - "World/Latam/CRI/Exports/Export value index (2000 = 100)", - "World/Europe/DEU/Exports/Export value index (2000 = 100)", - "World/North Africa/DZA/Exports/Export value index (2000 = 100)", - "World/Europe/ESP/Exports/Export value index (2000 = 100)", - "World/Europe/FRA/Exports/Export value index (2000 = 100)", - "World/Europe/GBR/Exports/Export value index (2000 = 100)", - "World/South Africa/GHA/Exports/Export value index (2000 = 100)", - "World/Asia/IDN/Exports/Export value index (2000 = 100)", - "World/Asia/IND/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/IRQ/Exports/Export value index (2000 = 100)", - "World/Asia/KOR/Exports/Export value index (2000 = 100)", - "World/North Africa/MAR/Exports/Export value index (2000 = 100)", - "World/Latam/MEX/Exports/Export value index (2000 = 100)", - "World/South Africa/MOZ/Exports/Export value index (2000 = 100)", - "World/Europe/NLD/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/OMN/Exports/Export value index (2000 = 100)", - "World/Latam/PAN/Exports/Export value index (2000 = 100)", - "World/Latam/PER/Exports/Export value index (2000 = 100)", - "World/Asia/PHL/Exports/Export value index (2000 = 100)", - "World/Europe/POL/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/QAT/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/SAU/Exports/Export value index (2000 = 100)", - "World/South Africa/SEN/Exports/Export value index (2000 = 100)", - "World/Europe/SWE/Exports/Export value index (2000 = 100)", - "World/Asia/THA/Exports/Export value index (2000 = 100)", - "World/North Africa/TUR/Exports/Export value index (2000 = 100)", - "World/Pair/USA/Exports/Export value index (2000 = 100)", - "World/Latam/VEN/Exports/Export value index (2000 = 100)", - "World/Asia/VNM/Exports/Export value index (2000 = 100)", - "World/South Africa/ZAF/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/ARE/Exports/Export volume index (2000 = 100)", - "World/Europe/AUT/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/AZE/Exports/Export volume index (2000 = 100)", - "World/Asia/BGD/Exports/Export volume index (2000 = 100)", - "World/Latam/BRA/Exports/Export volume index (2000 = 100)", - "World/Latam/CHL/Exports/Export volume index (2000 = 100)", - "World/Pair/CHN/Exports/Export volume index (2000 = 100)", - "World/Latam/COL/Exports/Export volume index (2000 = 100)", - "World/Latam/CRI/Exports/Export volume index (2000 = 100)", - "World/Europe/ESP/Exports/Export volume index (2000 = 100)", - "World/South Africa/GHA/Exports/Export volume index (2000 = 100)", - "World/Europe/GRC/Exports/Export volume index (2000 = 100)", - "World/Asia/IDN/Exports/Export volume index (2000 = 100)", - "World/Asia/IND/Exports/Export volume index (2000 = 100)", - "World/North Africa/ISR/Exports/Export volume index (2000 = 100)", - "World/Asia/KOR/Exports/Export volume index (2000 = 100)", - "World/North Africa/MAR/Exports/Export volume index (2000 = 100)", - "World/Latam/MEX/Exports/Export volume index (2000 = 100)", - "World/South Africa/MOZ/Exports/Export volume index (2000 = 100)", - "World/Europe/NLD/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/OMN/Exports/Export volume index (2000 = 100)", - "World/Latam/PAN/Exports/Export volume index (2000 = 100)", - "World/Latam/PER/Exports/Export volume index (2000 = 100)", - "World/Asia/PHL/Exports/Export volume index (2000 = 100)", - "World/Europe/POL/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/QAT/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/SAU/Exports/Export volume index (2000 = 100)", - "World/Asia/THA/Exports/Export volume index (2000 = 100)", - "World/North Africa/TUR/Exports/Export volume index (2000 = 100)", - "World/Pair/USA/Exports/Export volume index (2000 = 100)", - "World/Latam/VEN/Exports/Export volume index (2000 = 100)", - "World/Asia/VNM/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/YEM/Exports/Export volume index (2000 = 100)", - "World/South Africa/ZAF/Exports/Export volume index (2000 = 100)", - "World/Europe/AUT/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/AZE/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/BGD/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/BRA/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/CHL/Exports/Exports of goods and services (BoP, current US$)", - "World/Pair/CHN/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/COL/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/CRI/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/DEU/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/ESP/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/FRA/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/GBR/Exports/Exports of goods and services (BoP, current US$)", - "World/South Africa/GHA/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/HRV/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/IDN/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/IND/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/IRQ/Exports/Exports of goods and services (BoP, current US$)", - "World/North Africa/ISR/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/KOR/Exports/Exports of goods and services (BoP, current US$)", - "World/North Africa/MAR/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/MEX/Exports/Exports of goods and services (BoP, current US$)", - "World/South Africa/MOZ/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/NLD/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/OMN/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/PAN/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/PER/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/PHL/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/POL/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/SAU/Exports/Exports of goods and services (BoP, current US$)", - "World/South Africa/SEN/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/SWE/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/THA/Exports/Exports of goods and services (BoP, current US$)", - "World/North Africa/TUR/Exports/Exports of goods and services (BoP, current US$)", - "World/Pair/USA/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/VEN/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/VNM/Exports/Exports of goods and services (BoP, current US$)", - "World/South Africa/ZAF/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/ARE/Exports/Exports of goods and services (current US$)", - "World/Europe/AUT/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/AZE/Exports/Exports of goods and services (current US$)", - "World/Asia/BGD/Exports/Exports of goods and services (current US$)", - "World/Latam/BRA/Exports/Exports of goods and services (current US$)", - "World/Latam/CHL/Exports/Exports of goods and services (current US$)", - "World/Pair/CHN/Exports/Exports of goods and services (current US$)", - "World/Latam/COL/Exports/Exports of goods and services (current US$)", - "World/Latam/CRI/Exports/Exports of goods and services (current US$)", - "World/Europe/DEU/Exports/Exports of goods and services (current US$)", - "World/North Africa/DZA/Exports/Exports of goods and services (current US$)", - "World/Europe/ESP/Exports/Exports of goods and services (current US$)", - "World/Europe/FRA/Exports/Exports of goods and services (current US$)", - "World/Europe/GBR/Exports/Exports of goods and services (current US$)", - "World/South Africa/GHA/Exports/Exports of goods and services (current US$)", - "World/Europe/HRV/Exports/Exports of goods and services (current US$)", - "World/Asia/IDN/Exports/Exports of goods and services (current US$)", - "World/Asia/IND/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/IRQ/Exports/Exports of goods and services (current US$)", - "World/North Africa/ISR/Exports/Exports of goods and services (current US$)", - "World/Asia/KOR/Exports/Exports of goods and services (current US$)", - "World/North Africa/MAR/Exports/Exports of goods and services (current US$)", - "World/Latam/MEX/Exports/Exports of goods and services (current US$)", - "World/South Africa/MOZ/Exports/Exports of goods and services (current US$)", - "World/Europe/NLD/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/OMN/Exports/Exports of goods and services (current US$)", - "World/Latam/PAN/Exports/Exports of goods and services (current US$)", - "World/Latam/PER/Exports/Exports of goods and services (current US$)", - "World/Asia/PHL/Exports/Exports of goods and services (current US$)", - "World/Europe/POL/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/QAT/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/SAU/Exports/Exports of goods and services (current US$)", - "World/South Africa/SEN/Exports/Exports of goods and services (current US$)", - "World/Europe/SWE/Exports/Exports of goods and services (current US$)", - "World/Asia/THA/Exports/Exports of goods and services (current US$)", - "World/North Africa/TUR/Exports/Exports of goods and services (current US$)", - "World/Pair/USA/Exports/Exports of goods and services (current US$)", - "World/Latam/VEN/Exports/Exports of goods and services (current US$)", - "World/Asia/VNM/Exports/Exports of goods and services (current US$)", - "World/South Africa/ZAF/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/ARE/Economy/Final consumption expenditure (current US$)", - "World/Latam/ARG/Economy/Final consumption expenditure (current US$)", - "World/Europe/AUT/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/Final consumption expenditure (current US$)", - "World/Asia/BGD/Economy/Final consumption expenditure (current US$)", - "World/Latam/BRA/Economy/Final consumption expenditure (current US$)", - "World/Latam/CHL/Economy/Final consumption expenditure (current US$)", - "World/Pair/CHN/Economy/Final consumption expenditure (current US$)", - "World/South Africa/CMR/Economy/Final consumption expenditure (current US$)", - "World/Latam/COL/Economy/Final consumption expenditure (current US$)", - "World/Latam/CRI/Economy/Final consumption expenditure (current US$)", - "World/Europe/DEU/Economy/Final consumption expenditure (current US$)", - "World/North Africa/DZA/Economy/Final consumption expenditure (current US$)", - "World/North Africa/EGY/Economy/Final consumption expenditure (current US$)", - "World/Europe/ESP/Economy/Final consumption expenditure (current US$)", - "World/Europe/FRA/Economy/Final consumption expenditure (current US$)", - "World/Europe/GBR/Economy/Final consumption expenditure (current US$)", - "World/South Africa/GHA/Economy/Final consumption expenditure (current US$)", - "World/Europe/GRC/Economy/Final consumption expenditure (current US$)", - "World/Europe/HRV/Economy/Final consumption expenditure (current US$)", - "World/Asia/IDN/Economy/Final consumption expenditure (current US$)", - "World/Asia/IND/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/IRQ/Economy/Final consumption expenditure (current US$)", - "World/North Africa/ISR/Economy/Final consumption expenditure (current US$)", - "World/Asia/KOR/Economy/Final consumption expenditure (current US$)", - "World/North Africa/MAR/Economy/Final consumption expenditure (current US$)", - "World/Latam/MEX/Economy/Final consumption expenditure (current US$)", - "World/South Africa/MOZ/Economy/Final consumption expenditure (current US$)", - "World/South Africa/NGA/Economy/Final consumption expenditure (current US$)", - "World/Europe/NLD/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/OMN/Economy/Final consumption expenditure (current US$)", - "World/Latam/PAN/Economy/Final consumption expenditure (current US$)", - "World/Latam/PER/Economy/Final consumption expenditure (current US$)", - "World/Asia/PHL/Economy/Final consumption expenditure (current US$)", - "World/Europe/POL/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/QAT/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/SAU/Economy/Final consumption expenditure (current US$)", - "World/South Africa/SEN/Economy/Final consumption expenditure (current US$)", - "World/Europe/SWE/Economy/Final consumption expenditure (current US$)", - "World/Asia/THA/Economy/Final consumption expenditure (current US$)", - "World/North Africa/TUR/Economy/Final consumption expenditure (current US$)", - "World/Pair/USA/Economy/Final consumption expenditure (current US$)", - "World/Latam/VEN/Economy/Final consumption expenditure (current US$)", - "World/Asia/VNM/Economy/Final consumption expenditure (current US$)", - "World/South Africa/ZAF/Economy/Final consumption expenditure (current US$)", - "World/Latam/ARG/R&D/Firms offering formal training (% of firms)", - "World/Latam/CHL/R&D/Firms offering formal training (% of firms)", - "World/Latam/COL/R&D/Firms offering formal training (% of firms)", - "World/Latam/CRI/R&D/Firms offering formal training (% of firms)", - "World/North Africa/EGY/R&D/Firms offering formal training (% of firms)", - "World/South Africa/GHA/R&D/Firms offering formal training (% of firms)", - "World/Europe/GRC/R&D/Firms offering formal training (% of firms)", - "World/Europe/HRV/R&D/Firms offering formal training (% of firms)", - "World/Asia/IDN/R&D/Firms offering formal training (% of firms)", - "World/Asia/IND/R&D/Firms offering formal training (% of firms)", - "World/South Africa/LBR/R&D/Firms offering formal training (% of firms)", - "World/North Africa/MAR/R&D/Firms offering formal training (% of firms)", - "World/Latam/MEX/R&D/Firms offering formal training (% of firms)", - "World/South Africa/MOZ/R&D/Firms offering formal training (% of firms)", - "World/South Africa/NGA/R&D/Firms offering formal training (% of firms)", - "World/Latam/PAN/R&D/Firms offering formal training (% of firms)", - "World/Latam/PER/R&D/Firms offering formal training (% of firms)", - "World/Asia/PHL/R&D/Firms offering formal training (% of firms)", - "World/Europe/POL/R&D/Firms offering formal training (% of firms)", - "World/South Africa/SEN/R&D/Firms offering formal training (% of firms)", - "World/Asia/THA/R&D/Firms offering formal training (% of firms)", - "World/North Africa/TUR/R&D/Firms offering formal training (% of firms)", - "World/Latam/VEN/R&D/Firms offering formal training (% of firms)", - "World/Asia/VNM/R&D/Firms offering formal training (% of firms)", - "World/Persian Gulf/YEM/R&D/Firms offering formal training (% of firms)", - "World/South Africa/ZAF/R&D/Firms offering formal training (% of firms)", - "World/Latam/ARG/Economy/Firms using banks to finance investment (% of firms)", - "World/Persian Gulf/AZE/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/BGD/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/CHL/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/CMR/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/COL/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/CRI/Economy/Firms using banks to finance investment (% of firms)", - "World/North Africa/EGY/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/GHA/Economy/Firms using banks to finance investment (% of firms)", - "World/Europe/GRC/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/IDN/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/IND/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/LBR/Economy/Firms using banks to finance investment (% of firms)", - "World/North Africa/MAR/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/MEX/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/MOZ/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/NGA/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/PAN/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/PER/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/PHL/Economy/Firms using banks to finance investment (% of firms)", - "World/Europe/POL/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/SEN/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/THA/Economy/Firms using banks to finance investment (% of firms)", - "World/North Africa/TUR/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/VEN/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/VNM/Economy/Firms using banks to finance investment (% of firms)", - "World/Persian Gulf/YEM/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/ZAF/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/ARG/Economy/Firms using banks to finance working capital (% of firms)", - "World/Persian Gulf/AZE/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/BGD/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/CHL/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/CMR/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/COL/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/CRI/Economy/Firms using banks to finance working capital (% of firms)", - "World/North Africa/EGY/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/GHA/Economy/Firms using banks to finance working capital (% of firms)", - "World/Europe/GRC/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/IDN/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/LBR/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/MEX/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/MOZ/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/NGA/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/PAN/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/PER/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/PHL/Economy/Firms using banks to finance working capital (% of firms)", - "World/Europe/POL/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/SEN/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/THA/Economy/Firms using banks to finance working capital (% of firms)", - "World/North Africa/TUR/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/VEN/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/VNM/Economy/Firms using banks to finance working capital (% of firms)", - "World/Persian Gulf/YEM/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/ZAF/Economy/Firms using banks to finance working capital (% of firms)", - "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions", - "World/Latam/ARG/Internet/Fixed broadband subscriptions", - "World/Europe/AUT/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions", - "World/Asia/BGD/Internet/Fixed broadband subscriptions", - "World/Latam/BRA/Internet/Fixed broadband subscriptions", - "World/Latam/CHL/Internet/Fixed broadband subscriptions", - "World/Pair/CHN/Internet/Fixed broadband subscriptions", - "World/South Africa/CMR/Internet/Fixed broadband subscriptions", - "World/Latam/COL/Internet/Fixed broadband subscriptions", - "World/Latam/CRI/Internet/Fixed broadband subscriptions", - "World/Europe/DEU/Internet/Fixed broadband subscriptions", - "World/North Africa/DZA/Internet/Fixed broadband subscriptions", - "World/North Africa/EGY/Internet/Fixed broadband subscriptions", - "World/Europe/ESP/Internet/Fixed broadband subscriptions", - "World/Europe/FRA/Internet/Fixed broadband subscriptions", - "World/Europe/GBR/Internet/Fixed broadband subscriptions", - "World/South Africa/GHA/Internet/Fixed broadband subscriptions", - "World/Europe/GRC/Internet/Fixed broadband subscriptions", - "World/Europe/HRV/Internet/Fixed broadband subscriptions", - "World/Asia/IDN/Internet/Fixed broadband subscriptions", - "World/Asia/IND/Internet/Fixed broadband subscriptions", - "World/North Africa/ISR/Internet/Fixed broadband subscriptions", - "World/Asia/KOR/Internet/Fixed broadband subscriptions", - "World/South Africa/LBR/Internet/Fixed broadband subscriptions", - "World/North Africa/MAR/Internet/Fixed broadband subscriptions", - "World/Latam/MEX/Internet/Fixed broadband subscriptions", - "World/South Africa/MOZ/Internet/Fixed broadband subscriptions", - "World/Europe/NLD/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions", - "World/Latam/PAN/Internet/Fixed broadband subscriptions", - "World/Latam/PER/Internet/Fixed broadband subscriptions", - "World/Asia/PHL/Internet/Fixed broadband subscriptions", - "World/Europe/POL/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions", - "World/South Africa/SEN/Internet/Fixed broadband subscriptions", - "World/Europe/SWE/Internet/Fixed broadband subscriptions", - "World/Asia/THA/Internet/Fixed broadband subscriptions", - "World/North Africa/TUR/Internet/Fixed broadband subscriptions", - "World/Pair/USA/Internet/Fixed broadband subscriptions", - "World/Latam/VEN/Internet/Fixed broadband subscriptions", - "World/Asia/VNM/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions", - "World/South Africa/ZAF/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/ARG/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/AUT/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/BGD/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/BRA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/CHL/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Pair/CHN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/CMR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/COL/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/CRI/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/DEU/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/DZA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/EGY/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/ESP/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/FRA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/GBR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/GHA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/GRC/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/HRV/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/IDN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/IND/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/ISR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/KOR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/LBR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/MAR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/MEX/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/MOZ/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/NLD/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/PAN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/PER/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/PHL/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/POL/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/SEN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/SWE/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/THA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/TUR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Pair/USA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/VEN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/VNM/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/ZAF/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/ARE/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/AZE/Industry/Food production index (2014-2016 = 100)", - "World/Asia/BGD/Industry/Food production index (2014-2016 = 100)", - "World/Latam/BRA/Industry/Food production index (2014-2016 = 100)", - "World/Latam/CHL/Industry/Food production index (2014-2016 = 100)", - "World/Pair/CHN/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/CMR/Industry/Food production index (2014-2016 = 100)", - "World/Latam/COL/Industry/Food production index (2014-2016 = 100)", - "World/Latam/CRI/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/DZA/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/EGY/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/GHA/Industry/Food production index (2014-2016 = 100)", - "World/Asia/IDN/Industry/Food production index (2014-2016 = 100)", - "World/Asia/IND/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/ISR/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/LBR/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/MAR/Industry/Food production index (2014-2016 = 100)", - "World/Latam/MEX/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/MOZ/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/NGA/Industry/Food production index (2014-2016 = 100)", - "World/Europe/NLD/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/OMN/Industry/Food production index (2014-2016 = 100)", - "World/Latam/PAN/Industry/Food production index (2014-2016 = 100)", - "World/Latam/PER/Industry/Food production index (2014-2016 = 100)", - "World/Asia/PHL/Industry/Food production index (2014-2016 = 100)", - "World/Europe/POL/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/QAT/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/SAU/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/SEN/Industry/Food production index (2014-2016 = 100)", - "World/Asia/THA/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/TUR/Industry/Food production index (2014-2016 = 100)", - "World/Pair/USA/Industry/Food production index (2014-2016 = 100)", - "World/Asia/VNM/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/YEM/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/ZAF/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/ARE/Demography/Forest area (% of land area)", - "World/Latam/ARG/Demography/Forest area (% of land area)", - "World/Europe/AUT/Demography/Forest area (% of land area)", - "World/Persian Gulf/AZE/Demography/Forest area (% of land area)", - "World/Asia/BGD/Demography/Forest area (% of land area)", - "World/Latam/BRA/Demography/Forest area (% of land area)", - "World/Latam/CHL/Demography/Forest area (% of land area)", - "World/Pair/CHN/Demography/Forest area (% of land area)", - "World/South Africa/CMR/Demography/Forest area (% of land area)", - "World/Latam/COL/Demography/Forest area (% of land area)", - "World/Latam/CRI/Demography/Forest area (% of land area)", - "World/North Africa/DZA/Demography/Forest area (% of land area)", - "World/North Africa/EGY/Demography/Forest area (% of land area)", - "World/Europe/ESP/Demography/Forest area (% of land area)", - "World/Europe/FRA/Demography/Forest area (% of land area)", - "World/Europe/GBR/Demography/Forest area (% of land area)", - "World/Europe/GRC/Demography/Forest area (% of land area)", - "World/Europe/HRV/Demography/Forest area (% of land area)", - "World/Asia/IDN/Demography/Forest area (% of land area)", - "World/Asia/IND/Demography/Forest area (% of land area)", - "World/Asia/KOR/Demography/Forest area (% of land area)", - "World/South Africa/LBR/Demography/Forest area (% of land area)", - "World/North Africa/MAR/Demography/Forest area (% of land area)", - "World/Latam/MEX/Demography/Forest area (% of land area)", - "World/South Africa/MOZ/Demography/Forest area (% of land area)", - "World/South Africa/NGA/Demography/Forest area (% of land area)", - "World/Europe/NLD/Demography/Forest area (% of land area)", - "World/Latam/PAN/Demography/Forest area (% of land area)", - "World/Latam/PER/Demography/Forest area (% of land area)", - "World/Europe/POL/Demography/Forest area (% of land area)", - "World/South Africa/SEN/Demography/Forest area (% of land area)", - "World/North Africa/TUR/Demography/Forest area (% of land area)", - "World/Pair/USA/Demography/Forest area (% of land area)", - "World/Latam/VEN/Demography/Forest area (% of land area)", - "World/Asia/VNM/Demography/Forest area (% of land area)", - "World/South Africa/ZAF/Demography/Forest area (% of land area)", - "World/Persian Gulf/ARE/Principal/GDP deflator (base year varies by country)", - "World/Europe/AUT/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/AZE/Principal/GDP deflator (base year varies by country)", - "World/Asia/BGD/Principal/GDP deflator (base year varies by country)", - "World/Latam/BRA/Principal/GDP deflator (base year varies by country)", - "World/Latam/CHL/Principal/GDP deflator (base year varies by country)", - "World/Pair/CHN/Principal/GDP deflator (base year varies by country)", - "World/South Africa/CMR/Principal/GDP deflator (base year varies by country)", - "World/Latam/COL/Principal/GDP deflator (base year varies by country)", - "World/Latam/CRI/Principal/GDP deflator (base year varies by country)", - "World/Europe/DEU/Principal/GDP deflator (base year varies by country)", - "World/North Africa/DZA/Principal/GDP deflator (base year varies by country)", - "World/North Africa/EGY/Principal/GDP deflator (base year varies by country)", - "World/Europe/ESP/Principal/GDP deflator (base year varies by country)", - "World/Europe/FRA/Principal/GDP deflator (base year varies by country)", - "World/Europe/GBR/Principal/GDP deflator (base year varies by country)", - "World/South Africa/GHA/Principal/GDP deflator (base year varies by country)", - "World/Europe/GRC/Principal/GDP deflator (base year varies by country)", - "World/Europe/HRV/Principal/GDP deflator (base year varies by country)", - "World/Asia/IDN/Principal/GDP deflator (base year varies by country)", - "World/Asia/IND/Principal/GDP deflator (base year varies by country)", - "World/North Africa/ISR/Principal/GDP deflator (base year varies by country)", - "World/Asia/KOR/Principal/GDP deflator (base year varies by country)", - "World/South Africa/LBR/Principal/GDP deflator (base year varies by country)", - "World/North Africa/MAR/Principal/GDP deflator (base year varies by country)", - "World/Latam/MEX/Principal/GDP deflator (base year varies by country)", - "World/South Africa/MOZ/Principal/GDP deflator (base year varies by country)", - "World/South Africa/NGA/Principal/GDP deflator (base year varies by country)", - "World/Europe/NLD/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/OMN/Principal/GDP deflator (base year varies by country)", - "World/Latam/PAN/Principal/GDP deflator (base year varies by country)", - "World/Latam/PER/Principal/GDP deflator (base year varies by country)", - "World/Asia/PHL/Principal/GDP deflator (base year varies by country)", - "World/Europe/POL/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/QAT/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/SAU/Principal/GDP deflator (base year varies by country)", - "World/South Africa/SEN/Principal/GDP deflator (base year varies by country)", - "World/Asia/THA/Principal/GDP deflator (base year varies by country)", - "World/North Africa/TUR/Principal/GDP deflator (base year varies by country)", - "World/Pair/USA/Principal/GDP deflator (base year varies by country)", - "World/Latam/VEN/Principal/GDP deflator (base year varies by country)", - "World/Asia/VNM/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/YEM/Principal/GDP deflator (base year varies by country)", - "World/South Africa/ZAF/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/ARE/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/AUT/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/AZE/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/BGD/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/BRA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/CHL/Principal/GDP deflator: linked series (base year varies by country)", - "World/Pair/CHN/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/CMR/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/COL/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/CRI/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/DEU/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/DZA/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/EGY/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/ESP/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/FRA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/GBR/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/GHA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/GRC/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/HRV/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/IDN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/IND/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/ISR/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/KOR/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/LBR/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/MAR/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/MEX/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/MOZ/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/NGA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/NLD/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/OMN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/PAN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/PER/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/PHL/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/POL/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/QAT/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/SAU/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/SEN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/THA/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/TUR/Principal/GDP deflator: linked series (base year varies by country)", - "World/Pair/USA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/VEN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/VNM/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/YEM/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/ZAF/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/ARE/Principal/GDP per capita (current US$)", - "World/Latam/ARG/Principal/GDP per capita (current US$)", - "World/Europe/AUT/Principal/GDP per capita (current US$)", - "World/Persian Gulf/AZE/Principal/GDP per capita (current US$)", - "World/Asia/BGD/Principal/GDP per capita (current US$)", - "World/Latam/BRA/Principal/GDP per capita (current US$)", - "World/Latam/CHL/Principal/GDP per capita (current US$)", - "World/Pair/CHN/Principal/GDP per capita (current US$)", - "World/South Africa/CMR/Principal/GDP per capita (current US$)", - "World/Latam/COL/Principal/GDP per capita (current US$)", - "World/Latam/CRI/Principal/GDP per capita (current US$)", - "World/Europe/DEU/Principal/GDP per capita (current US$)", - "World/North Africa/DZA/Principal/GDP per capita (current US$)", - "World/North Africa/EGY/Principal/GDP per capita (current US$)", - "World/Europe/ESP/Principal/GDP per capita (current US$)", - "World/Europe/FRA/Principal/GDP per capita (current US$)", - "World/Europe/GBR/Principal/GDP per capita (current US$)", - "World/South Africa/GHA/Principal/GDP per capita (current US$)", - "World/Europe/GRC/Principal/GDP per capita (current US$)", - "World/Europe/HRV/Principal/GDP per capita (current US$)", - "World/Asia/IDN/Principal/GDP per capita (current US$)", - "World/Asia/IND/Principal/GDP per capita (current US$)", - "World/Persian Gulf/IRQ/Principal/GDP per capita (current US$)", - "World/North Africa/ISR/Principal/GDP per capita (current US$)", - "World/Asia/KOR/Principal/GDP per capita (current US$)", - "World/North Africa/MAR/Principal/GDP per capita (current US$)", - "World/Latam/MEX/Principal/GDP per capita (current US$)", - "World/South Africa/MOZ/Principal/GDP per capita (current US$)", - "World/South Africa/NGA/Principal/GDP per capita (current US$)", - "World/Europe/NLD/Principal/GDP per capita (current US$)", - "World/Persian Gulf/OMN/Principal/GDP per capita (current US$)", - "World/Latam/PAN/Principal/GDP per capita (current US$)", - "World/Latam/PER/Principal/GDP per capita (current US$)", - "World/Asia/PHL/Principal/GDP per capita (current US$)", - "World/Europe/POL/Principal/GDP per capita (current US$)", - "World/Persian Gulf/QAT/Principal/GDP per capita (current US$)", - "World/Persian Gulf/SAU/Principal/GDP per capita (current US$)", - "World/South Africa/SEN/Principal/GDP per capita (current US$)", - "World/Europe/SWE/Principal/GDP per capita (current US$)", - "World/Asia/THA/Principal/GDP per capita (current US$)", - "World/North Africa/TUR/Principal/GDP per capita (current US$)", - "World/Pair/USA/Principal/GDP per capita (current US$)", - "World/Latam/VEN/Principal/GDP per capita (current US$)", - "World/Asia/VNM/Principal/GDP per capita (current US$)", - 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"World/Europe/FRA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Europe/GBR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/GHA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Europe/GRC/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/IDN/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/IND/Principal/GDP per person employed (constant 2017 PPP $)", - "World/North Africa/ISR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/KOR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/North Africa/MAR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/MOZ/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/NGA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Persian Gulf/OMN/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/PAN/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/PER/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/PHL/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Europe/POL/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Persian Gulf/QAT/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Persian Gulf/SAU/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/SEN/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/THA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/North Africa/TUR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Pair/USA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/VNM/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/ZAF/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/ARG/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/AUT/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Persian Gulf/AZE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/BGD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/BRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/CHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Pair/CHN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/CMR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/COL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/CRI/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/DEU/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/North Africa/EGY/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/ESP/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/FRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/GBR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/GHA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/HRV/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/IDN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/IND/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/North Africa/ISR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/KOR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/North Africa/MAR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/MEX/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/MOZ/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/NGA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/NLD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/PAN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/PHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/POL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/SWE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/THA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/North Africa/TUR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Pair/USA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/VNM/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/ZAF/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/AUT/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Persian Gulf/AZE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/BGD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Pair/CHN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/CMR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Latam/COL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Latam/CRI/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/DEU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/North Africa/DZA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/ESP/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/FRA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/GBR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/GHA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/HRV/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/IDN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/IND/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/North Africa/ISR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/KOR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Latam/MEX/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/MOZ/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/NGA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/NLD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Latam/PAN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/PHL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/POL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Persian Gulf/SAU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/SWE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/North Africa/TUR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Pair/USA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/ZAF/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Persian Gulf/ARE/Economy/GNI (current US$)", - "World/Latam/ARG/Economy/GNI (current US$)", - "World/Europe/AUT/Economy/GNI (current US$)", - "World/Persian Gulf/AZE/Economy/GNI (current US$)", - "World/Asia/BGD/Economy/GNI (current US$)", - "World/Latam/BRA/Economy/GNI (current US$)", - "World/Latam/CHL/Economy/GNI (current US$)", - "World/Pair/CHN/Economy/GNI (current US$)", - "World/South Africa/CMR/Economy/GNI (current US$)", - "World/Latam/COL/Economy/GNI (current US$)", - "World/Latam/CRI/Economy/GNI (current US$)", - "World/Europe/DEU/Economy/GNI (current US$)", - "World/North Africa/DZA/Economy/GNI (current US$)", - "World/North Africa/EGY/Economy/GNI (current US$)", - "World/Europe/ESP/Economy/GNI (current US$)", - "World/Europe/FRA/Economy/GNI (current US$)", - "World/Europe/GBR/Economy/GNI (current US$)", - "World/South Africa/GHA/Economy/GNI (current US$)", - "World/Europe/HRV/Economy/GNI (current US$)", - "World/Asia/IDN/Economy/GNI (current US$)", - "World/Asia/IND/Economy/GNI (current US$)", - "World/Persian Gulf/IRQ/Economy/GNI (current US$)", - "World/North Africa/ISR/Economy/GNI (current US$)", - "World/Asia/KOR/Economy/GNI (current US$)", - "World/South Africa/LBR/Economy/GNI (current US$)", - "World/North Africa/MAR/Economy/GNI (current US$)", - "World/Latam/MEX/Economy/GNI (current US$)", - "World/South Africa/MOZ/Economy/GNI (current US$)", - "World/South Africa/NGA/Economy/GNI (current US$)", - "World/Europe/NLD/Economy/GNI (current US$)", - "World/Persian Gulf/OMN/Economy/GNI (current US$)", - "World/Latam/PAN/Economy/GNI (current US$)", - "World/Latam/PER/Economy/GNI (current US$)", - "World/Asia/PHL/Economy/GNI (current US$)", - "World/Europe/POL/Economy/GNI (current US$)", - "World/Persian Gulf/QAT/Economy/GNI (current US$)", - "World/Persian Gulf/SAU/Economy/GNI (current US$)", - "World/South Africa/SEN/Economy/GNI (current US$)", - "World/Europe/SWE/Economy/GNI (current US$)", - "World/Asia/THA/Economy/GNI (current US$)", - "World/North Africa/TUR/Economy/GNI (current US$)", - "World/Pair/USA/Economy/GNI (current US$)", - "World/Latam/VEN/Economy/GNI (current US$)", - "World/Asia/VNM/Economy/GNI (current US$)", - "World/Persian Gulf/YEM/Economy/GNI (current US$)", - "World/South Africa/ZAF/Economy/GNI (current US$)", - "World/Persian Gulf/ARE/Economy/General government final consumption expenditure (current US$)", - "World/Latam/ARG/Economy/General government final consumption expenditure (current US$)", - "World/Europe/AUT/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/General government final consumption expenditure (current US$)", - "World/Asia/BGD/Economy/General government final consumption expenditure (current US$)", - "World/Latam/BRA/Economy/General government final consumption expenditure (current US$)", - "World/Latam/CHL/Economy/General government final consumption expenditure (current US$)", - "World/Pair/CHN/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/CMR/Economy/General government final consumption expenditure (current US$)", - "World/Latam/COL/Economy/General government final consumption expenditure (current US$)", - "World/Latam/CRI/Economy/General government final consumption expenditure (current US$)", - "World/Europe/DEU/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/DZA/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/EGY/Economy/General government final consumption expenditure (current US$)", - "World/Europe/ESP/Economy/General government final consumption expenditure (current US$)", - "World/Europe/FRA/Economy/General government final consumption expenditure (current US$)", - "World/Europe/GBR/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/GHA/Economy/General government final consumption expenditure (current US$)", - "World/Europe/GRC/Economy/General government final consumption expenditure (current US$)", - "World/Europe/HRV/Economy/General government final consumption expenditure (current US$)", - "World/Asia/IDN/Economy/General government final consumption expenditure (current US$)", - "World/Asia/IND/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/IRQ/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/ISR/Economy/General government final consumption expenditure (current US$)", - "World/Asia/KOR/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/MAR/Economy/General government final consumption expenditure (current US$)", - "World/Latam/MEX/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/MOZ/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/NGA/Economy/General government final consumption expenditure (current US$)", - "World/Europe/NLD/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/OMN/Economy/General government final consumption expenditure (current US$)", - "World/Latam/PAN/Economy/General government final consumption expenditure (current US$)", - "World/Latam/PER/Economy/General government final consumption expenditure (current US$)", - "World/Asia/PHL/Economy/General government final consumption expenditure (current US$)", - "World/Europe/POL/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/QAT/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/SAU/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/SEN/Economy/General government final consumption expenditure (current US$)", - "World/Europe/SWE/Economy/General government final consumption expenditure (current US$)", - "World/Asia/THA/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/TUR/Economy/General government final consumption expenditure (current US$)", - "World/Pair/USA/Economy/General government final consumption expenditure (current US$)", - "World/Latam/VEN/Economy/General government final consumption expenditure (current US$)", - "World/Asia/VNM/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/ZAF/Economy/General government final consumption expenditure (current US$)", - "World/Europe/AUT/Exports/Goods exports (BoP, current US$)", - "World/Persian Gulf/AZE/Exports/Goods exports (BoP, current US$)", - "World/Asia/BGD/Exports/Goods exports (BoP, current US$)", - "World/Latam/BRA/Exports/Goods exports (BoP, current US$)", - "World/Latam/CHL/Exports/Goods exports (BoP, current US$)", - "World/Pair/CHN/Exports/Goods exports (BoP, current US$)", - "World/Latam/COL/Exports/Goods exports (BoP, current US$)", - "World/Latam/CRI/Exports/Goods exports (BoP, current US$)", - "World/Europe/DEU/Exports/Goods exports (BoP, current US$)", - "World/Europe/ESP/Exports/Goods exports (BoP, current US$)", - "World/Europe/FRA/Exports/Goods exports (BoP, current US$)", - "World/Europe/GBR/Exports/Goods exports (BoP, current US$)", - "World/South Africa/GHA/Exports/Goods exports (BoP, current US$)", - "World/Asia/IDN/Exports/Goods exports (BoP, current US$)", - "World/Asia/IND/Exports/Goods exports (BoP, current US$)", - "World/Persian Gulf/IRQ/Exports/Goods exports (BoP, current US$)", - "World/North Africa/ISR/Exports/Goods exports (BoP, current US$)", - "World/Asia/KOR/Exports/Goods exports (BoP, current US$)", - "World/South Africa/LBR/Exports/Goods exports (BoP, current US$)", - "World/North Africa/MAR/Exports/Goods exports (BoP, current US$)", - "World/Latam/MEX/Exports/Goods exports (BoP, current US$)", - "World/South Africa/MOZ/Exports/Goods exports (BoP, current US$)", - "World/Europe/NLD/Exports/Goods exports (BoP, current US$)", - "World/Persian Gulf/OMN/Exports/Goods exports (BoP, current US$)", - "World/Latam/PER/Exports/Goods exports (BoP, current US$)", - "World/Asia/PHL/Exports/Goods exports (BoP, current US$)", - "World/Europe/POL/Exports/Goods exports (BoP, current US$)", - "World/Persian Gulf/SAU/Exports/Goods exports (BoP, current US$)", - "World/South Africa/SEN/Exports/Goods exports (BoP, current US$)", - "World/Europe/SWE/Exports/Goods exports (BoP, current US$)", - "World/Asia/THA/Exports/Goods exports (BoP, current US$)", - "World/North Africa/TUR/Exports/Goods exports (BoP, current US$)", - "World/Pair/USA/Exports/Goods exports (BoP, current US$)", - "World/Latam/VEN/Exports/Goods exports (BoP, current US$)", - "World/Asia/VNM/Exports/Goods exports (BoP, current US$)", - "World/South Africa/ZAF/Exports/Goods exports (BoP, current US$)", - "World/Latam/ARG/Imports/Goods imports (BoP, current US$)", - "World/Europe/AUT/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/AZE/Imports/Goods imports (BoP, current US$)", - "World/Asia/BGD/Imports/Goods imports (BoP, current US$)", - "World/Latam/BRA/Imports/Goods imports (BoP, current US$)", - "World/Latam/CHL/Imports/Goods imports (BoP, current US$)", - "World/Pair/CHN/Imports/Goods imports (BoP, current US$)", - "World/Latam/COL/Imports/Goods imports (BoP, current US$)", - "World/Latam/CRI/Imports/Goods imports (BoP, current US$)", - "World/Europe/DEU/Imports/Goods imports (BoP, current US$)", - "World/North Africa/DZA/Imports/Goods imports (BoP, current US$)", - "World/North Africa/EGY/Imports/Goods imports (BoP, current US$)", - "World/Europe/ESP/Imports/Goods imports (BoP, current US$)", - "World/Europe/FRA/Imports/Goods imports (BoP, current US$)", - "World/Europe/GBR/Imports/Goods imports (BoP, current US$)", - "World/South Africa/GHA/Imports/Goods imports (BoP, current US$)", - "World/Europe/GRC/Imports/Goods imports (BoP, current US$)", - "World/Europe/HRV/Imports/Goods imports (BoP, current US$)", - "World/Asia/IDN/Imports/Goods imports (BoP, current US$)", - "World/Asia/IND/Imports/Goods imports (BoP, current US$)", - "World/North Africa/ISR/Imports/Goods imports (BoP, current US$)", - "World/Asia/KOR/Imports/Goods imports (BoP, current US$)", - "World/South Africa/LBR/Imports/Goods imports (BoP, current US$)", - "World/North Africa/MAR/Imports/Goods imports (BoP, current US$)", - "World/Latam/MEX/Imports/Goods imports (BoP, current US$)", - "World/South Africa/MOZ/Imports/Goods imports (BoP, current US$)", - "World/South Africa/NGA/Imports/Goods imports (BoP, current US$)", - "World/Europe/NLD/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/OMN/Imports/Goods imports (BoP, current US$)", - "World/Latam/PER/Imports/Goods imports (BoP, current US$)", - "World/Asia/PHL/Imports/Goods imports (BoP, current US$)", - "World/Europe/POL/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/SAU/Imports/Goods imports (BoP, current US$)", - "World/South Africa/SEN/Imports/Goods imports (BoP, current US$)", - "World/Europe/SWE/Imports/Goods imports (BoP, current US$)", - "World/Asia/THA/Imports/Goods imports (BoP, current US$)", - "World/North Africa/TUR/Imports/Goods imports (BoP, current US$)", - "World/Pair/USA/Imports/Goods imports (BoP, current US$)", - "World/Asia/VNM/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/YEM/Imports/Goods imports (BoP, current US$)", - "World/South Africa/ZAF/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/ARE/Economy/Gross capital formation (current US$)", - "World/Latam/ARG/Economy/Gross capital formation (current US$)", - "World/Europe/AUT/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/AZE/Economy/Gross capital formation (current US$)", - "World/Asia/BGD/Economy/Gross capital formation (current US$)", - "World/Latam/BRA/Economy/Gross capital formation (current US$)", - "World/Latam/CHL/Economy/Gross capital formation (current US$)", - "World/Pair/CHN/Economy/Gross capital formation (current US$)", - "World/South Africa/CMR/Economy/Gross capital formation (current US$)", - "World/Latam/COL/Economy/Gross capital formation (current US$)", - "World/Latam/CRI/Economy/Gross capital formation (current US$)", - "World/Europe/DEU/Economy/Gross capital formation (current US$)", - "World/North Africa/DZA/Economy/Gross capital formation (current US$)", - "World/North Africa/EGY/Economy/Gross capital formation (current US$)", - "World/Europe/ESP/Economy/Gross capital formation (current US$)", - "World/Europe/FRA/Economy/Gross capital formation (current US$)", - "World/Europe/GBR/Economy/Gross capital formation (current US$)", - "World/South Africa/GHA/Economy/Gross capital formation (current US$)", - "World/Europe/HRV/Economy/Gross capital formation (current US$)", - "World/Asia/IDN/Economy/Gross capital formation (current US$)", - "World/Asia/IND/Economy/Gross capital formation (current US$)", - "World/North Africa/ISR/Economy/Gross capital formation (current US$)", - "World/Asia/KOR/Economy/Gross capital formation (current US$)", - "World/North Africa/MAR/Economy/Gross capital formation (current US$)", - "World/Latam/MEX/Economy/Gross capital formation (current US$)", - "World/South Africa/MOZ/Economy/Gross capital formation (current US$)", - "World/South Africa/NGA/Economy/Gross capital formation (current US$)", - "World/Europe/NLD/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/OMN/Economy/Gross capital formation (current US$)", - "World/Latam/PAN/Economy/Gross capital formation (current US$)", - "World/Latam/PER/Economy/Gross capital formation (current US$)", - "World/Asia/PHL/Economy/Gross capital formation (current US$)", - "World/Europe/POL/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/QAT/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/SAU/Economy/Gross capital formation (current US$)", - "World/South Africa/SEN/Economy/Gross capital formation (current US$)", - "World/Europe/SWE/Economy/Gross capital formation (current US$)", - "World/Asia/THA/Economy/Gross capital formation (current US$)", - "World/North Africa/TUR/Economy/Gross capital formation (current US$)", - "World/Pair/USA/Economy/Gross capital formation (current US$)", - "World/Latam/VEN/Economy/Gross capital formation (current US$)", - "World/Asia/VNM/Economy/Gross capital formation (current US$)", - "World/South Africa/ZAF/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/ARE/Economy/Gross domestic savings (current US$)", - "World/Latam/ARG/Economy/Gross domestic savings (current US$)", - "World/Europe/AUT/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/AZE/Economy/Gross domestic savings (current US$)", - "World/Asia/BGD/Economy/Gross domestic savings (current US$)", - "World/Latam/BRA/Economy/Gross domestic savings (current US$)", - "World/Latam/CHL/Economy/Gross domestic savings (current US$)", - "World/Pair/CHN/Economy/Gross domestic savings (current US$)", - "World/South Africa/CMR/Economy/Gross domestic savings (current US$)", - "World/Latam/COL/Economy/Gross domestic savings (current US$)", - "World/Latam/CRI/Economy/Gross domestic savings (current US$)", - "World/Europe/DEU/Economy/Gross domestic savings (current US$)", - "World/North Africa/DZA/Economy/Gross domestic savings (current US$)", - "World/Europe/ESP/Economy/Gross domestic savings (current US$)", - "World/Europe/FRA/Economy/Gross domestic savings (current US$)", - "World/Europe/GBR/Economy/Gross domestic savings (current US$)", - "World/Europe/HRV/Economy/Gross domestic savings (current US$)", - "World/Asia/IDN/Economy/Gross domestic savings (current US$)", - "World/Asia/IND/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/IRQ/Economy/Gross domestic savings (current US$)", - "World/North Africa/ISR/Economy/Gross domestic savings (current US$)", - "World/Asia/KOR/Economy/Gross domestic savings (current US$)", - "World/North Africa/MAR/Economy/Gross domestic savings (current US$)", - "World/Latam/MEX/Economy/Gross domestic savings (current US$)", - "World/South Africa/NGA/Economy/Gross domestic savings (current US$)", - "World/Europe/NLD/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/OMN/Economy/Gross domestic savings (current US$)", - "World/Latam/PAN/Economy/Gross domestic savings (current US$)", - "World/Latam/PER/Economy/Gross domestic savings (current US$)", - "World/Asia/PHL/Economy/Gross domestic savings (current US$)", - "World/Europe/POL/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/QAT/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/SAU/Economy/Gross domestic savings (current US$)", - "World/South Africa/SEN/Economy/Gross domestic savings (current US$)", - "World/Europe/SWE/Economy/Gross domestic savings (current US$)", - "World/Asia/THA/Economy/Gross domestic savings (current US$)", - "World/North Africa/TUR/Economy/Gross domestic savings (current US$)", - "World/Pair/USA/Economy/Gross domestic savings (current US$)", - "World/Asia/VNM/Economy/Gross domestic savings (current US$)", - "World/South Africa/ZAF/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/ARE/Economy/Gross fixed capital formation (current US$)", - "World/Latam/ARG/Economy/Gross fixed capital formation (current US$)", - "World/Europe/AUT/Economy/Gross fixed capital formation (current US$)", - "World/Persian Gulf/AZE/Economy/Gross fixed capital formation (current US$)", - "World/Asia/BGD/Economy/Gross fixed capital formation (current US$)", - "World/Latam/BRA/Economy/Gross fixed capital formation (current US$)", - "World/Latam/CHL/Economy/Gross fixed capital formation (current US$)", - "World/Pair/CHN/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/CMR/Economy/Gross fixed capital formation (current US$)", - "World/Latam/COL/Economy/Gross fixed capital formation (current US$)", - "World/Latam/CRI/Economy/Gross fixed capital formation (current US$)", - "World/Europe/DEU/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/DZA/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/EGY/Economy/Gross fixed capital formation (current US$)", - "World/Europe/FRA/Economy/Gross fixed capital formation (current US$)", - "World/Europe/GBR/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/GHA/Economy/Gross fixed capital formation (current US$)", - "World/Europe/HRV/Economy/Gross fixed capital formation (current US$)", - "World/Asia/IDN/Economy/Gross fixed capital formation (current US$)", - "World/Asia/IND/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/ISR/Economy/Gross fixed capital formation (current US$)", - "World/Asia/KOR/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/MAR/Economy/Gross fixed capital formation (current US$)", - "World/Latam/MEX/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/MOZ/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/NGA/Economy/Gross fixed capital formation (current US$)", - "World/Europe/NLD/Economy/Gross fixed capital formation (current US$)", - "World/Persian Gulf/OMN/Economy/Gross fixed capital formation (current US$)", - "World/Latam/PAN/Economy/Gross fixed capital formation (current US$)", - "World/Latam/PER/Economy/Gross fixed capital formation (current US$)", - "World/Asia/PHL/Economy/Gross fixed capital formation (current US$)", - "World/Europe/POL/Economy/Gross fixed capital formation (current US$)", - "World/Persian Gulf/SAU/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/SEN/Economy/Gross fixed capital formation (current US$)", - "World/Europe/SWE/Economy/Gross fixed capital formation (current US$)", - "World/Asia/THA/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/TUR/Economy/Gross fixed capital formation (current US$)", - "World/Pair/USA/Economy/Gross fixed capital formation (current US$)", - "World/Latam/VEN/Economy/Gross fixed capital formation (current US$)", - "World/Asia/VNM/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/ZAF/Economy/Gross fixed capital formation (current US$)", - "World/Persian Gulf/ARE/Economy/Gross national expenditure (current US$)", - "World/Latam/ARG/Economy/Gross national expenditure (current US$)", - "World/Europe/AUT/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/Gross national expenditure (current US$)", - "World/Asia/BGD/Economy/Gross national expenditure (current US$)", - "World/Latam/BRA/Economy/Gross national expenditure (current US$)", - "World/Latam/CHL/Economy/Gross national expenditure (current US$)", - "World/Pair/CHN/Economy/Gross national expenditure (current US$)", - "World/South Africa/CMR/Economy/Gross national expenditure (current US$)", - "World/Latam/COL/Economy/Gross national expenditure (current US$)", - "World/Latam/CRI/Economy/Gross national expenditure (current US$)", - "World/Europe/DEU/Economy/Gross national expenditure (current US$)", - "World/North Africa/DZA/Economy/Gross national expenditure (current US$)", - "World/North Africa/EGY/Economy/Gross national expenditure (current US$)", - "World/Europe/ESP/Economy/Gross national expenditure (current US$)", - "World/Europe/FRA/Economy/Gross national expenditure (current US$)", - "World/Europe/GBR/Economy/Gross national expenditure (current US$)", - "World/South Africa/GHA/Economy/Gross national expenditure (current US$)", - "World/Europe/GRC/Economy/Gross national expenditure (current US$)", - "World/Europe/HRV/Economy/Gross national expenditure (current US$)", - "World/Asia/IDN/Economy/Gross national expenditure (current US$)", - "World/Asia/IND/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/IRQ/Economy/Gross national expenditure (current US$)", - "World/North Africa/ISR/Economy/Gross national expenditure (current US$)", - "World/Asia/KOR/Economy/Gross national expenditure (current US$)", - "World/North Africa/MAR/Economy/Gross national expenditure (current US$)", - "World/Latam/MEX/Economy/Gross national expenditure (current US$)", - "World/South Africa/MOZ/Economy/Gross national expenditure (current US$)", - "World/South Africa/NGA/Economy/Gross national expenditure (current US$)", - "World/Europe/NLD/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/OMN/Economy/Gross national expenditure (current US$)", - "World/Latam/PAN/Economy/Gross national expenditure (current US$)", - "World/Latam/PER/Economy/Gross national expenditure (current US$)", - "World/Asia/PHL/Economy/Gross national expenditure (current US$)", - "World/Europe/POL/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/QAT/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/SAU/Economy/Gross national expenditure (current US$)", - "World/South Africa/SEN/Economy/Gross national expenditure (current US$)", - "World/Europe/SWE/Economy/Gross national expenditure (current US$)", - "World/Asia/THA/Economy/Gross national expenditure (current US$)", - "World/North Africa/TUR/Economy/Gross national expenditure (current US$)", - "World/Pair/USA/Economy/Gross national expenditure (current US$)", - "World/Latam/VEN/Economy/Gross national expenditure (current US$)", - "World/Asia/VNM/Economy/Gross national expenditure (current US$)", - "World/South Africa/ZAF/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/ARE/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/AUT/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Persian Gulf/AZE/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/BGD/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/BRA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/CHL/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Pair/CHN/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/CMR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/COL/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/CRI/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/DEU/Economy/Gross national expenditure deflator (base year varies by country)", - "World/North Africa/DZA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/North Africa/EGY/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/ESP/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/FRA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/GBR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/GHA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/GRC/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/IND/Economy/Gross national expenditure deflator (base year varies by country)", - "World/North Africa/ISR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/KOR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/North Africa/MAR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/MEX/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/MOZ/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/NGA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/NLD/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Persian Gulf/OMN/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/PAN/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/PER/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/PHL/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/POL/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Persian Gulf/SAU/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Pair/USA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/VEN/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/VNM/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/ZAF/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/ARG/Economy/Gross savings (current US$)", - "World/Europe/AUT/Economy/Gross savings (current US$)", - "World/Persian Gulf/AZE/Economy/Gross savings (current US$)", - "World/Asia/BGD/Economy/Gross savings (current US$)", - "World/Latam/BRA/Economy/Gross savings (current US$)", - "World/Latam/CHL/Economy/Gross savings (current US$)", - "World/Pair/CHN/Economy/Gross savings (current US$)", - "World/South Africa/CMR/Economy/Gross savings (current US$)", - "World/Latam/COL/Economy/Gross savings (current US$)", - "World/Latam/CRI/Economy/Gross savings (current US$)", - "World/Europe/DEU/Economy/Gross savings (current US$)", - "World/North Africa/EGY/Economy/Gross savings (current US$)", - "World/Europe/ESP/Economy/Gross savings (current US$)", - "World/Europe/FRA/Economy/Gross savings (current US$)", - "World/Europe/GBR/Economy/Gross savings (current US$)", - "World/South Africa/GHA/Economy/Gross savings (current US$)", - "World/Europe/HRV/Economy/Gross savings (current US$)", - "World/Asia/IDN/Economy/Gross savings (current US$)", - "World/Asia/IND/Economy/Gross savings (current US$)", - "World/North Africa/ISR/Economy/Gross savings (current US$)", - "World/Asia/KOR/Economy/Gross savings (current US$)", - "World/North Africa/MAR/Economy/Gross savings (current US$)", - "World/Latam/MEX/Economy/Gross savings (current US$)", - "World/South Africa/MOZ/Economy/Gross savings (current US$)", - "World/South Africa/NGA/Economy/Gross savings (current US$)", - "World/Europe/NLD/Economy/Gross savings (current US$)", - "World/Latam/PAN/Economy/Gross savings (current US$)", - "World/Latam/PER/Economy/Gross savings (current US$)", - "World/Asia/PHL/Economy/Gross savings (current US$)", - "World/Europe/POL/Economy/Gross savings (current US$)", - "World/Persian Gulf/SAU/Economy/Gross savings (current US$)", - "World/South Africa/SEN/Economy/Gross savings (current US$)", - "World/Europe/SWE/Economy/Gross savings (current US$)", - "World/Asia/THA/Economy/Gross savings (current US$)", - "World/North Africa/TUR/Economy/Gross savings (current US$)", - "World/Pair/USA/Economy/Gross savings (current US$)", - "World/Asia/VNM/Economy/Gross savings (current US$)", - "World/South Africa/ZAF/Economy/Gross savings (current US$)", - "World/Latam/ARG/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/AUT/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/AZE/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/BGD/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/BRA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/CHL/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/CMR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/COL/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/CRI/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/DEU/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/DZA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/EGY/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/ESP/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/FRA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/GBR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/GHA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/GRC/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/HRV/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/IDN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/IND/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/IRQ/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/ISR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/KOR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/MAR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/MEX/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/MOZ/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/NGA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/NLD/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/OMN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/PAN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/PER/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/POL/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/SAU/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/SEN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/SWE/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/TUR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Pair/USA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/VEN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/VNM/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/YEM/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/ZAF/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/AUT/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Pair/CHN/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/DEU/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/ESP/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/FRA/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/GBR/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IND/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/ISR/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/MEX/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/POL/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/SAU/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/SWE/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Pair/USA/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/VEN/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/ZAF/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/ARE/Health/Hospital beds (per 1,000 people)", - "World/Latam/ARG/Health/Hospital beds (per 1,000 people)", - "World/Europe/AUT/Health/Hospital beds (per 1,000 people)", - "World/Persian Gulf/AZE/Health/Hospital beds (per 1,000 people)", - "World/Asia/BGD/Health/Hospital beds (per 1,000 people)", - "World/Latam/BRA/Health/Hospital beds (per 1,000 people)", - "World/Latam/CHL/Health/Hospital beds (per 1,000 people)", - "World/Pair/CHN/Health/Hospital beds (per 1,000 people)", - "World/South Africa/CMR/Health/Hospital beds (per 1,000 people)", - "World/Latam/COL/Health/Hospital beds (per 1,000 people)", - "World/Latam/CRI/Health/Hospital beds (per 1,000 people)", - "World/Europe/DEU/Health/Hospital beds (per 1,000 people)", - "World/North Africa/EGY/Health/Hospital beds (per 1,000 people)", - "World/Europe/ESP/Health/Hospital beds (per 1,000 people)", - "World/Europe/FRA/Health/Hospital beds (per 1,000 people)", - "World/Europe/GBR/Health/Hospital beds (per 1,000 people)", - "World/North Africa/ISR/Health/Hospital beds (per 1,000 people)", - "World/Asia/KOR/Health/Hospital beds (per 1,000 people)", - "World/South Africa/LBR/Health/Hospital beds (per 1,000 people)", - "World/Latam/MEX/Health/Hospital beds (per 1,000 people)", - "World/South Africa/MOZ/Health/Hospital beds (per 1,000 people)", - "World/South Africa/NGA/Health/Hospital beds (per 1,000 people)", - "World/Europe/NLD/Health/Hospital beds (per 1,000 people)", - "World/Persian Gulf/OMN/Health/Hospital beds (per 1,000 people)", - "World/Persian Gulf/SAU/Health/Hospital beds (per 1,000 people)", - "World/North Africa/TUR/Health/Hospital beds (per 1,000 people)", - "World/Pair/USA/Health/Hospital beds (per 1,000 people)", - "World/South Africa/ZAF/Health/Hospital beds (per 1,000 people)", - "World/Persian Gulf/ARE/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/ARG/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/AUT/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/BGD/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/BRA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/CHL/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Pair/CHN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/CMR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/COL/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/CRI/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/DEU/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/DZA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/EGY/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/ESP/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/FRA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/GBR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/GHA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/GRC/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/HRV/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/IDN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/IND/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/IRQ/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/ISR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/KOR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/MAR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/MEX/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/MOZ/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/NGA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/NLD/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/OMN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/PAN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/PER/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/PHL/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/POL/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/QAT/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/SAU/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/SEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/SWE/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/THA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/TUR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Pair/USA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/VEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/VNM/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/ZAF/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/AUT/Exports/ICT service exports (BoP, current US$)", - "World/Asia/BGD/Exports/ICT service exports (BoP, current US$)", - "World/Latam/CHL/Exports/ICT service exports (BoP, current US$)", - "World/Pair/CHN/Exports/ICT service exports (BoP, current US$)", - "World/South Africa/CMR/Exports/ICT service exports (BoP, current US$)", - "World/Latam/CRI/Exports/ICT service exports (BoP, current US$)", - "World/Europe/DEU/Exports/ICT service exports (BoP, current US$)", - "World/North Africa/DZA/Exports/ICT service exports (BoP, current US$)", - "World/Europe/ESP/Exports/ICT service exports (BoP, current US$)", - "World/Europe/GBR/Exports/ICT service exports (BoP, current US$)", - "World/Europe/GRC/Exports/ICT service exports (BoP, current US$)", - "World/Europe/HRV/Exports/ICT service exports (BoP, current US$)", - "World/Asia/IND/Exports/ICT service exports (BoP, current US$)", - "World/North Africa/ISR/Exports/ICT service exports (BoP, current US$)", - "World/Asia/KOR/Exports/ICT service exports (BoP, current US$)", - "World/North Africa/MAR/Exports/ICT service exports (BoP, current US$)", - "World/Latam/MEX/Exports/ICT service exports (BoP, current US$)", - "World/South Africa/NGA/Exports/ICT service exports (BoP, current US$)", - "World/Europe/NLD/Exports/ICT service exports (BoP, current US$)", - "World/Persian Gulf/OMN/Exports/ICT service exports (BoP, current US$)", - "World/Latam/PAN/Exports/ICT service exports (BoP, current US$)", - "World/Europe/POL/Exports/ICT service exports (BoP, current US$)", - "World/Persian Gulf/QAT/Exports/ICT service exports (BoP, current US$)", - "World/Persian Gulf/SAU/Exports/ICT service exports (BoP, current US$)", - "World/Europe/SWE/Exports/ICT service exports (BoP, current US$)", - "World/Asia/THA/Exports/ICT service exports (BoP, current US$)", - "World/Pair/USA/Exports/ICT service exports (BoP, current US$)", - "World/South Africa/ZAF/Exports/ICT service exports (BoP, current US$)", - "World/Persian Gulf/ARE/Imports/Import unit value index (2000 = 100)", - "World/Europe/AUT/Imports/Import unit value index (2000 = 100)", - "World/Persian Gulf/AZE/Imports/Import unit value index (2000 = 100)", - "World/Asia/BGD/Imports/Import unit value index (2000 = 100)", - "World/Latam/CRI/Imports/Import unit value index (2000 = 100)", - "World/Europe/DEU/Imports/Import unit value index (2000 = 100)", - "World/North Africa/EGY/Imports/Import unit value index (2000 = 100)", - "World/Europe/ESP/Imports/Import unit value index (2000 = 100)", - "World/Europe/FRA/Imports/Import unit value index (2000 = 100)", - "World/Europe/GRC/Imports/Import unit value index (2000 = 100)", - "World/Europe/HRV/Imports/Import unit value index (2000 = 100)", - "World/Latam/MEX/Imports/Import unit value index (2000 = 100)", - "World/South Africa/MOZ/Imports/Import unit value index (2000 = 100)", - "World/Europe/NLD/Imports/Import unit value index (2000 = 100)", - "World/Latam/PAN/Imports/Import unit value index (2000 = 100)", - "World/Europe/POL/Imports/Import unit value index (2000 = 100)", - "World/Persian Gulf/QAT/Imports/Import unit value index (2000 = 100)", - "World/Europe/SWE/Imports/Import unit value index (2000 = 100)", - "World/Asia/THA/Imports/Import unit value index (2000 = 100)", - "World/Persian Gulf/ARE/Imports/Import value index (2000 = 100)", - "World/Latam/ARG/Imports/Import value index (2000 = 100)", - "World/Europe/AUT/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/AZE/Imports/Import value index (2000 = 100)", - "World/Asia/BGD/Imports/Import value index (2000 = 100)", - "World/Latam/BRA/Imports/Import value index (2000 = 100)", - "World/Latam/CHL/Imports/Import value index (2000 = 100)", - "World/Pair/CHN/Imports/Import value index (2000 = 100)", - "World/Latam/COL/Imports/Import value index (2000 = 100)", - "World/Latam/CRI/Imports/Import value index (2000 = 100)", - "World/Europe/DEU/Imports/Import value index (2000 = 100)", - "World/North Africa/DZA/Imports/Import value index (2000 = 100)", - "World/North Africa/EGY/Imports/Import value index (2000 = 100)", - "World/Europe/ESP/Imports/Import value index (2000 = 100)", - "World/Europe/FRA/Imports/Import value index (2000 = 100)", - "World/Europe/GBR/Imports/Import value index (2000 = 100)", - "World/Europe/GRC/Imports/Import value index (2000 = 100)", - "World/Europe/HRV/Imports/Import value index (2000 = 100)", - "World/Asia/IDN/Imports/Import value index (2000 = 100)", - "World/Asia/IND/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/IRQ/Imports/Import value index (2000 = 100)", - "World/North Africa/ISR/Imports/Import value index (2000 = 100)", - "World/Asia/KOR/Imports/Import value index (2000 = 100)", - "World/North Africa/MAR/Imports/Import value index (2000 = 100)", - "World/Latam/MEX/Imports/Import value index (2000 = 100)", - "World/South Africa/MOZ/Imports/Import value index (2000 = 100)", - "World/South Africa/NGA/Imports/Import value index (2000 = 100)", - "World/Europe/NLD/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/OMN/Imports/Import value index (2000 = 100)", - "World/Latam/PAN/Imports/Import value index (2000 = 100)", - "World/Latam/PER/Imports/Import value index (2000 = 100)", - "World/Asia/PHL/Imports/Import value index (2000 = 100)", - "World/Europe/POL/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/QAT/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/SAU/Imports/Import value index (2000 = 100)", - "World/South Africa/SEN/Imports/Import value index (2000 = 100)", - "World/Europe/SWE/Imports/Import value index (2000 = 100)", - "World/Asia/THA/Imports/Import value index (2000 = 100)", - "World/North Africa/TUR/Imports/Import value index (2000 = 100)", - "World/Pair/USA/Imports/Import value index (2000 = 100)", - "World/Asia/VNM/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/YEM/Imports/Import value index (2000 = 100)", - "World/South Africa/ZAF/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/ARE/Imports/Import volume index (2000 = 100)", - "World/Latam/ARG/Imports/Import volume index (2000 = 100)", - "World/Europe/AUT/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/AZE/Imports/Import volume index (2000 = 100)", - "World/Asia/BGD/Imports/Import volume index (2000 = 100)", - "World/Latam/BRA/Imports/Import volume index (2000 = 100)", - "World/Latam/CHL/Imports/Import volume index (2000 = 100)", - "World/Pair/CHN/Imports/Import volume index (2000 = 100)", - "World/Latam/COL/Imports/Import volume index (2000 = 100)", - "World/Latam/CRI/Imports/Import volume index (2000 = 100)", - "World/Europe/DEU/Imports/Import volume index (2000 = 100)", - "World/North Africa/DZA/Imports/Import volume index (2000 = 100)", - "World/North Africa/EGY/Imports/Import volume index (2000 = 100)", - "World/Europe/GBR/Imports/Import volume index (2000 = 100)", - "World/Asia/IDN/Imports/Import volume index (2000 = 100)", - "World/Asia/IND/Imports/Import volume index (2000 = 100)", - "World/North Africa/ISR/Imports/Import volume index (2000 = 100)", - "World/Asia/KOR/Imports/Import volume index (2000 = 100)", - "World/North Africa/MAR/Imports/Import volume index (2000 = 100)", - "World/Latam/MEX/Imports/Import volume index (2000 = 100)", - "World/South Africa/MOZ/Imports/Import volume index (2000 = 100)", - "World/South Africa/NGA/Imports/Import volume index (2000 = 100)", - "World/Europe/NLD/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/OMN/Imports/Import volume index (2000 = 100)", - "World/Latam/PAN/Imports/Import volume index (2000 = 100)", - "World/Latam/PER/Imports/Import volume index (2000 = 100)", - "World/Asia/PHL/Imports/Import volume index (2000 = 100)", - "World/Europe/POL/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/QAT/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/SAU/Imports/Import volume index (2000 = 100)", - "World/South Africa/SEN/Imports/Import volume index (2000 = 100)", - "World/Asia/THA/Imports/Import volume index (2000 = 100)", - "World/North Africa/TUR/Imports/Import volume index (2000 = 100)", - "World/Pair/USA/Imports/Import volume index (2000 = 100)", - "World/Latam/VEN/Imports/Import volume index (2000 = 100)", - "World/Asia/VNM/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/YEM/Imports/Import volume index (2000 = 100)", - "World/South Africa/ZAF/Imports/Import volume index (2000 = 100)", - "World/Latam/ARG/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/AUT/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/AZE/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/BGD/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/BRA/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/CHL/Imports/Imports of goods and services (BoP, current US$)", - "World/Pair/CHN/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/CMR/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/COL/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/CRI/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/DEU/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/DZA/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/EGY/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/ESP/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/FRA/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/GBR/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/GHA/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/GRC/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/HRV/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/IDN/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/IND/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/ISR/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/KOR/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/MAR/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/MEX/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/MOZ/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/NGA/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/NLD/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/OMN/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/PAN/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/PER/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/PHL/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/POL/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/SAU/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/SEN/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/SWE/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/THA/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/TUR/Imports/Imports of goods and services (BoP, current US$)", - "World/Pair/USA/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/VNM/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/YEM/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/ZAF/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/ARE/Imports/Imports of goods and services (current US$)", - "World/Latam/ARG/Imports/Imports of goods and services (current US$)", - "World/Europe/AUT/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/AZE/Imports/Imports of goods and services (current US$)", - "World/Asia/BGD/Imports/Imports of goods and services (current US$)", - "World/Latam/BRA/Imports/Imports of goods and services (current US$)", - "World/Latam/CHL/Imports/Imports of goods and services (current US$)", - "World/Pair/CHN/Imports/Imports of goods and services (current US$)", - "World/Latam/COL/Imports/Imports of goods and services (current US$)", - "World/Latam/CRI/Imports/Imports of goods and services (current US$)", - "World/Europe/DEU/Imports/Imports of goods and services (current US$)", - "World/North Africa/DZA/Imports/Imports of goods and services (current US$)", - "World/North Africa/EGY/Imports/Imports of goods and services (current US$)", - "World/Europe/ESP/Imports/Imports of goods and services (current US$)", - "World/Europe/FRA/Imports/Imports of goods and services (current US$)", - "World/Europe/GBR/Imports/Imports of goods and services (current US$)", - "World/South Africa/GHA/Imports/Imports of goods and services (current US$)", - "World/Europe/GRC/Imports/Imports of goods and services (current US$)", - "World/Europe/HRV/Imports/Imports of goods and services (current US$)", - "World/Asia/IDN/Imports/Imports of goods and services (current US$)", - "World/Asia/IND/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/IRQ/Imports/Imports of goods and services (current US$)", - "World/North Africa/ISR/Imports/Imports of goods and services (current US$)", - "World/Asia/KOR/Imports/Imports of goods and services (current US$)", - "World/North Africa/MAR/Imports/Imports of goods and services (current US$)", - "World/Latam/MEX/Imports/Imports of goods and services (current US$)", - "World/South Africa/MOZ/Imports/Imports of goods and services (current US$)", - "World/South Africa/NGA/Imports/Imports of goods and services (current US$)", - "World/Europe/NLD/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/OMN/Imports/Imports of goods and services (current US$)", - "World/Latam/PAN/Imports/Imports of goods and services (current US$)", - "World/Latam/PER/Imports/Imports of goods and services (current US$)", - "World/Asia/PHL/Imports/Imports of goods and services (current US$)", - "World/Europe/POL/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/QAT/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/SAU/Imports/Imports of goods and services (current US$)", - "World/South Africa/SEN/Imports/Imports of goods and services (current US$)", - "World/Europe/SWE/Imports/Imports of goods and services (current US$)", - "World/Asia/THA/Imports/Imports of goods and services (current US$)", - "World/North Africa/TUR/Imports/Imports of goods and services (current US$)", - "World/Pair/USA/Imports/Imports of goods and services (current US$)", - "World/Latam/VEN/Imports/Imports of goods and services (current US$)", - "World/Asia/VNM/Imports/Imports of goods and services (current US$)", - "World/South Africa/ZAF/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/ARE/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/AUT/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/AZE/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Latam/BRA/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Pair/CHN/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/CMR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Latam/CRI/Health/Incidence of tuberculosis (per 100,000 people)", - "World/North Africa/EGY/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/ESP/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/GBR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/GHA/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/HRV/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Asia/IDN/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Asia/IND/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/IRQ/Health/Incidence of tuberculosis (per 100,000 people)", - "World/North Africa/ISR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/LBR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/MOZ/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/OMN/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Latam/PER/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/POL/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/QAT/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/SAU/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/SEN/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Asia/THA/Health/Incidence of tuberculosis (per 100,000 people)", - "World/North Africa/TUR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Pair/USA/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Asia/VNM/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/YEM/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/ARE/Economy/Industry (including construction), value added (current US$)", - "World/Latam/ARG/Economy/Industry (including construction), value added (current US$)", - "World/Europe/AUT/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/AZE/Economy/Industry (including construction), value added (current US$)", - "World/Asia/BGD/Economy/Industry (including construction), value added (current US$)", - "World/Latam/BRA/Economy/Industry (including construction), value added (current US$)", - "World/Latam/CHL/Economy/Industry (including construction), value added (current US$)", - "World/Pair/CHN/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/CMR/Economy/Industry (including construction), value added (current US$)", - "World/Latam/COL/Economy/Industry (including construction), value added (current US$)", - "World/Latam/CRI/Economy/Industry (including construction), value added (current US$)", - "World/Europe/DEU/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/DZA/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/EGY/Economy/Industry (including construction), value added (current US$)", - "World/Europe/ESP/Economy/Industry (including construction), value added (current US$)", - "World/Europe/FRA/Economy/Industry (including construction), value added (current US$)", - "World/Europe/GBR/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/GHA/Economy/Industry (including construction), value added (current US$)", - "World/Europe/GRC/Economy/Industry (including construction), value added (current US$)", - "World/Europe/HRV/Economy/Industry (including construction), value added (current US$)", - "World/Asia/IDN/Economy/Industry (including construction), value added (current US$)", - "World/Asia/IND/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/IRQ/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/ISR/Economy/Industry (including construction), value added (current US$)", - "World/Asia/KOR/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/LBR/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/MAR/Economy/Industry (including construction), value added (current US$)", - "World/Latam/MEX/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/MOZ/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/NGA/Economy/Industry (including construction), value added (current US$)", - "World/Europe/NLD/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/OMN/Economy/Industry (including construction), value added (current US$)", - "World/Latam/PAN/Economy/Industry (including construction), value added (current US$)", - "World/Latam/PER/Economy/Industry (including construction), value added (current US$)", - "World/Asia/PHL/Economy/Industry (including construction), value added (current US$)", - "World/Europe/POL/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/SAU/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/SEN/Economy/Industry (including construction), value added (current US$)", - "World/Europe/SWE/Economy/Industry (including construction), value added (current US$)", - "World/Asia/THA/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/TUR/Economy/Industry (including construction), value added (current US$)", - "World/Pair/USA/Economy/Industry (including construction), value added (current US$)", - "World/Latam/VEN/Economy/Industry (including construction), value added (current US$)", - "World/Asia/VNM/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/YEM/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/ZAF/Economy/Industry (including construction), value added (current US$)", - "World/Latam/BRA/Mortality/Intentional homicides (per 100,000 people)", - "World/Pair/CHN/Mortality/Intentional homicides (per 100,000 people)", - "World/Latam/COL/Mortality/Intentional homicides (per 100,000 people)", - "World/Latam/CRI/Mortality/Intentional homicides (per 100,000 people)", - "World/North Africa/EGY/Mortality/Intentional homicides (per 100,000 people)", - "World/Europe/ESP/Mortality/Intentional homicides (per 100,000 people)", - "World/Europe/GBR/Mortality/Intentional homicides (per 100,000 people)", - "World/Asia/IDN/Mortality/Intentional homicides (per 100,000 people)", - "World/Asia/IND/Mortality/Intentional homicides (per 100,000 people)", - "World/Persian Gulf/IRQ/Mortality/Intentional homicides (per 100,000 people)", - "World/North Africa/ISR/Mortality/Intentional homicides (per 100,000 people)", - "World/South Africa/MOZ/Mortality/Intentional homicides (per 100,000 people)", - "World/Europe/NLD/Mortality/Intentional homicides (per 100,000 people)", - "World/Latam/PAN/Mortality/Intentional homicides (per 100,000 people)", - "World/Latam/PER/Mortality/Intentional homicides (per 100,000 people)", - "World/Europe/POL/Mortality/Intentional homicides (per 100,000 people)", - "World/Asia/THA/Mortality/Intentional homicides (per 100,000 people)", - "World/Asia/VNM/Mortality/Intentional homicides (per 100,000 people)", - "World/Persian Gulf/YEM/Mortality/Intentional homicides (per 100,000 people)", - "World/South Africa/ZAF/Mortality/Intentional homicides (per 100,000 people)", - "World/Persian Gulf/ARE/Migration/International migrant stock (% of population)", - "World/Europe/AUT/Migration/International migrant stock (% of population)", - "World/Persian Gulf/AZE/Migration/International migrant stock (% of population)", - "World/Latam/CHL/Migration/International migrant stock (% of population)", - "World/Pair/CHN/Migration/International migrant stock (% of population)", - "World/Europe/DEU/Migration/International migrant stock (% of population)", - "World/North Africa/DZA/Migration/International migrant stock (% of population)", - "World/Europe/ESP/Migration/International migrant stock (% of population)", - "World/Europe/FRA/Migration/International migrant stock (% of population)", - "World/Europe/GBR/Migration/International migrant stock (% of population)", - "World/Europe/GRC/Migration/International migrant stock (% of population)", - "World/Europe/HRV/Migration/International migrant stock (% of population)", - "World/Asia/IND/Migration/International migrant stock (% of population)", - "World/North Africa/ISR/Migration/International migrant stock (% of population)", - "World/Asia/KOR/Migration/International migrant stock (% of population)", - "World/North Africa/MAR/Migration/International migrant stock (% of population)", - "World/Latam/MEX/Migration/International migrant stock (% of population)", - "World/South Africa/MOZ/Migration/International migrant stock (% of population)", - "World/South Africa/NGA/Migration/International migrant stock (% of population)", - "World/Europe/NLD/Migration/International migrant stock (% of population)", - "World/Latam/PAN/Migration/International migrant stock (% of population)", - "World/Latam/PER/Migration/International migrant stock (% of population)", - "World/Europe/POL/Migration/International migrant stock (% of population)", - "World/Persian Gulf/SAU/Migration/International migrant stock (% of population)", - "World/South Africa/SEN/Migration/International migrant stock (% of population)", - "World/Europe/SWE/Migration/International migrant stock (% of population)", - "World/Asia/THA/Migration/International migrant stock (% of population)", - "World/North Africa/TUR/Migration/International migrant stock (% of population)", - "World/Pair/USA/Migration/International migrant stock (% of population)", - "World/Asia/VNM/Migration/International migrant stock (% of population)", - "World/Persian Gulf/YEM/Migration/International migrant stock (% of population)", - "World/Persian Gulf/ARE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/AUT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/AZE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/BRA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/CHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Pair/CHN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/COL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/CRI/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/DEU/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/North Africa/DZA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/North Africa/EGY/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/GHA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/GRC/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/IDN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/IND/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/IRQ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/North Africa/ISR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/KOR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/LBR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/MEX/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/MOZ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/NGA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/NLD/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/OMN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/PAN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/PER/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/PHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/POL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/QAT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/SWE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/North Africa/TUR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Pair/USA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/VEN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/VNM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/YEM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/ZAF/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/ARE/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/ARG/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/AZE/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/BGD/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/CHL/Mortality/Lifetime risk of maternal death (%)", - "World/Pair/CHN/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/CMR/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/COL/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/CRI/Mortality/Lifetime risk of maternal death (%)", - "World/North Africa/EGY/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/ESP/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/GBR/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/GHA/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/GRC/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/HRV/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/IDN/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/IND/Mortality/Lifetime risk of maternal death (%)", - "World/North Africa/ISR/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/KOR/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/LBR/Mortality/Lifetime risk of maternal death (%)", - "World/North Africa/MAR/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/MEX/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/MOZ/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/NGA/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/NLD/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/PAN/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/PER/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/PHL/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/POL/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/QAT/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/SAU/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/SEN/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/THA/Mortality/Lifetime risk of maternal death (%)", - "World/North Africa/TUR/Mortality/Lifetime risk of maternal death (%)", - "World/Pair/USA/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/VNM/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/YEM/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/ARE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/ARG/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/AZE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/BGD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/CHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Pair/CHN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/CMR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/COL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/CRI/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/North Africa/EGY/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/ESP/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/GBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/GHA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/GRC/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/HRV/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/IDN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/IND/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/North Africa/ISR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/KOR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/LBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/North Africa/MAR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/MEX/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/MOZ/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/NGA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/NLD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/PAN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/PER/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/PHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/POL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/QAT/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/SAU/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/SEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/THA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/North Africa/TUR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Pair/USA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/VEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/VNM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/YEM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/ARE/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/ARG/Industry/Livestock production index (2014-2016 = 100)", - "World/Europe/AUT/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/AZE/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/BGD/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/BRA/Industry/Livestock production index (2014-2016 = 100)", - "World/Pair/CHN/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/COL/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/CRI/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/DZA/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/EGY/Industry/Livestock production index (2014-2016 = 100)", - "World/Europe/GBR/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/GHA/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/IDN/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/IND/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/ISR/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/KOR/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/LBR/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/MAR/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/MEX/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/MOZ/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/NGA/Industry/Livestock production index (2014-2016 = 100)", - "World/Europe/NLD/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/OMN/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/PAN/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/PER/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/PHL/Industry/Livestock production index (2014-2016 = 100)", - "World/Europe/POL/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/QAT/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/SAU/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/SEN/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/THA/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/TUR/Industry/Livestock production index (2014-2016 = 100)", - "World/Pair/USA/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/VEN/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/VNM/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/YEM/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/ZAF/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/ARE/Health/Low-birthweight babies (% of births)", - "World/Asia/BGD/Health/Low-birthweight babies (% of births)", - "World/Latam/BRA/Health/Low-birthweight babies (% of births)", - "World/Latam/CHL/Health/Low-birthweight babies (% of births)", - "World/Pair/CHN/Health/Low-birthweight babies (% of births)", - "World/South Africa/CMR/Health/Low-birthweight babies (% of births)", - "World/Latam/COL/Health/Low-birthweight babies (% of births)", - "World/Latam/CRI/Health/Low-birthweight babies (% of births)", - "World/North Africa/DZA/Health/Low-birthweight babies (% of births)", - "World/Europe/ESP/Health/Low-birthweight babies (% of births)", - "World/Europe/FRA/Health/Low-birthweight babies (% of births)", - "World/Europe/GBR/Health/Low-birthweight babies (% of births)", - "World/South Africa/GHA/Health/Low-birthweight babies (% of births)", - "World/Europe/HRV/Health/Low-birthweight babies (% of births)", - "World/Asia/IDN/Health/Low-birthweight babies (% of births)", - "World/North Africa/ISR/Health/Low-birthweight babies (% of births)", - "World/Asia/KOR/Health/Low-birthweight babies (% of births)", - "World/North Africa/MAR/Health/Low-birthweight babies (% of births)", - "World/Latam/MEX/Health/Low-birthweight babies (% of births)", - "World/South Africa/MOZ/Health/Low-birthweight babies (% of births)", - "World/Europe/NLD/Health/Low-birthweight babies (% of births)", - "World/Persian Gulf/OMN/Health/Low-birthweight babies (% of births)", - "World/Latam/PAN/Health/Low-birthweight babies (% of births)", - "World/Latam/PER/Health/Low-birthweight babies (% of births)", - "World/Asia/PHL/Health/Low-birthweight babies (% of births)", - "World/Persian Gulf/QAT/Health/Low-birthweight babies (% of births)", - "World/South Africa/SEN/Health/Low-birthweight babies (% of births)", - "World/Asia/THA/Health/Low-birthweight babies (% of births)", - "World/North Africa/TUR/Health/Low-birthweight babies (% of births)", - "World/Asia/VNM/Health/Low-birthweight babies (% of births)", - "World/South Africa/ZAF/Health/Low-birthweight babies (% of births)", - "World/Persian Gulf/ARE/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/BGD/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Latam/CHL/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Pair/CHN/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Latam/COL/Economy/Market capitalization of listed domestic companies (current US$)", - "World/South Africa/GHA/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Europe/HRV/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/IDN/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/IND/Economy/Market capitalization of listed domestic companies (current US$)", - "World/North Africa/ISR/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/KOR/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Latam/MEX/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Persian Gulf/OMN/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Latam/PAN/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Europe/POL/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Persian Gulf/QAT/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Persian Gulf/SAU/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/THA/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Pair/USA/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/VNM/Economy/Market capitalization of listed domestic companies (current US$)", - "World/South Africa/ZAF/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Persian Gulf/ARE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/ARG/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/AZE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/BGD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/CHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Pair/CHN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/CMR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/CRI/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/DZA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/EGY/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/ESP/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/GBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/GHA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/HRV/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/IDN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/IND/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/ISR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/KOR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/LBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/MAR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/MEX/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/MOZ/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/NGA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/NLD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/PAN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/PER/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/PHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/POL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/QAT/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/SAU/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/SEN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/THA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/TUR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Pair/USA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/VNM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/YEM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/ARE/Exports/Merchandise exports (current US$)", - "World/Europe/AUT/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/AZE/Exports/Merchandise exports (current US$)", - "World/Asia/BGD/Exports/Merchandise exports (current US$)", - "World/Latam/BRA/Exports/Merchandise exports (current US$)", - "World/Latam/CHL/Exports/Merchandise exports (current US$)", - "World/Pair/CHN/Exports/Merchandise exports (current US$)", - "World/Latam/COL/Exports/Merchandise exports (current US$)", - "World/Latam/CRI/Exports/Merchandise exports (current US$)", - "World/Europe/DEU/Exports/Merchandise exports (current US$)", - "World/North Africa/EGY/Exports/Merchandise exports (current US$)", - "World/Europe/ESP/Exports/Merchandise exports (current US$)", - "World/Europe/FRA/Exports/Merchandise exports (current US$)", - "World/Europe/GBR/Exports/Merchandise exports (current US$)", - "World/South Africa/GHA/Exports/Merchandise exports (current US$)", - "World/Asia/IDN/Exports/Merchandise exports (current US$)", - "World/Asia/IND/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/IRQ/Exports/Merchandise exports (current US$)", - "World/North Africa/ISR/Exports/Merchandise exports (current US$)", - "World/Asia/KOR/Exports/Merchandise exports (current US$)", - "World/North Africa/MAR/Exports/Merchandise exports (current US$)", - "World/Latam/MEX/Exports/Merchandise exports (current US$)", - "World/South Africa/MOZ/Exports/Merchandise exports (current US$)", - "World/Europe/NLD/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/OMN/Exports/Merchandise exports (current US$)", - "World/Latam/PAN/Exports/Merchandise exports (current US$)", - "World/Latam/PER/Exports/Merchandise exports (current US$)", - "World/Asia/PHL/Exports/Merchandise exports (current US$)", - "World/Europe/POL/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/QAT/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/SAU/Exports/Merchandise exports (current US$)", - "World/South Africa/SEN/Exports/Merchandise exports (current US$)", - "World/Europe/SWE/Exports/Merchandise exports (current US$)", - "World/Asia/THA/Exports/Merchandise exports (current US$)", - "World/North Africa/TUR/Exports/Merchandise exports (current US$)", - "World/Pair/USA/Exports/Merchandise exports (current US$)", - "World/Latam/VEN/Exports/Merchandise exports (current US$)", - "World/Asia/VNM/Exports/Merchandise exports (current US$)", - "World/South Africa/ZAF/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/ARE/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/AUT/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/AZE/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/BGD/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/BRA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/CHL/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Pair/CHN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/COL/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/CRI/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/DEU/Exports/Merchandise exports by the reporting economy (current US$)", - "World/North Africa/DZA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/North Africa/EGY/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/ESP/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/FRA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/GBR/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/GHA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/IDN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/IND/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/IRQ/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/KOR/Exports/Merchandise exports by the reporting economy (current US$)", - "World/North Africa/MAR/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/MEX/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/MOZ/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/NGA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/NLD/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/OMN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/PER/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/PHL/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/POL/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/QAT/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/SEN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/SWE/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/THA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/North Africa/TUR/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Pair/USA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/VEN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/VNM/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/ZAF/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Persian Gulf/AZE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/BGD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/GBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/South Africa/LBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/South Africa/MOZ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/South Africa/NGA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/NLD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/PAN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/PER/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/PHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/POL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Persian Gulf/QAT/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/SWE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/THA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Pair/USA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/VEN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/South Africa/ZAF/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Europe/AUT/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Latam/BRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - 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"World/Asia/KOR/Environment/Methane emissions (% change from 1990)", - "World/North Africa/MAR/Environment/Methane emissions (% change from 1990)", - "World/Latam/MEX/Environment/Methane emissions (% change from 1990)", - "World/Europe/NLD/Environment/Methane emissions (% change from 1990)", - "World/Persian Gulf/OMN/Environment/Methane emissions (% change from 1990)", - "World/Latam/PAN/Environment/Methane emissions (% change from 1990)", - "World/Latam/PER/Environment/Methane emissions (% change from 1990)", - "World/Asia/PHL/Environment/Methane emissions (% change from 1990)", - "World/Europe/POL/Environment/Methane emissions (% change from 1990)", - "World/Persian Gulf/QAT/Environment/Methane emissions (% change from 1990)", - "World/Persian Gulf/SAU/Environment/Methane emissions (% change from 1990)", - "World/North Africa/TUR/Environment/Methane emissions (% change from 1990)", - "World/Pair/USA/Environment/Methane emissions (% change from 1990)", - "World/Asia/VNM/Environment/Methane emissions (% change from 1990)", - "World/Persian Gulf/YEM/Environment/Methane emissions (% change from 1990)", - "World/Persian Gulf/ARE/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/ARG/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/AUT/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/AZE/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Asia/BGD/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/BRA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Pair/CHN/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/CMR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/COL/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/CRI/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/DEU/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/DZA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/EGY/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/FRA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/GBR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/GHA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Asia/IND/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/ISR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/LBR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/MAR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/MEX/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/MOZ/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/NGA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/NLD/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/OMN/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/PAN/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/PER/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Asia/PHL/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/POL/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/QAT/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/SAU/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/SEN/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/TUR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Pair/USA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Asia/VNM/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/YEM/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/ARE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/ARG/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/AUT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/AZE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/BGD/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Pair/CHN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/CMR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/COL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/DEU/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/DZA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/EGY/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/FRA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/GBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/GHA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/GRC/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/IND/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/IRQ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/ISR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/KOR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/LBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/MAR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/MOZ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/NGA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/OMN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/PAN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/PER/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/POL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/QAT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/SEN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/SWE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/THA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Pair/USA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/VNM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/YEM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/ARE/Military/Military expenditure (current USD)", - "World/Europe/AUT/Military/Military expenditure (current USD)", - "World/Persian Gulf/AZE/Military/Military expenditure (current USD)", - "World/Asia/BGD/Military/Military expenditure (current USD)", - "World/Latam/BRA/Military/Military expenditure (current USD)", - "World/Latam/CHL/Military/Military expenditure (current USD)", - "World/Pair/CHN/Military/Military expenditure (current USD)", - "World/South Africa/CMR/Military/Military expenditure (current USD)", - "World/Latam/COL/Military/Military expenditure (current USD)", - "World/North Africa/DZA/Military/Military expenditure (current USD)", - "World/North Africa/EGY/Military/Military expenditure (current USD)", - "World/Europe/ESP/Military/Military expenditure (current USD)", - "World/Europe/FRA/Military/Military expenditure (current USD)", - "World/South Africa/GHA/Military/Military expenditure (current USD)", - "World/Europe/GRC/Military/Military expenditure (current USD)", - "World/Asia/IDN/Military/Military expenditure (current USD)", - "World/Asia/IND/Military/Military expenditure (current USD)", - "World/North Africa/ISR/Military/Military expenditure (current USD)", - "World/Asia/KOR/Military/Military expenditure (current USD)", - "World/North Africa/MAR/Military/Military expenditure (current USD)", - "World/Latam/MEX/Military/Military expenditure (current USD)", - "World/South Africa/MOZ/Military/Military expenditure (current USD)", - "World/South Africa/NGA/Military/Military expenditure (current USD)", - "World/Europe/NLD/Military/Military expenditure (current USD)", - "World/Persian Gulf/OMN/Military/Military expenditure (current USD)", - "World/Latam/PER/Military/Military expenditure (current USD)", - "World/Asia/PHL/Military/Military expenditure (current USD)", - "World/Europe/POL/Military/Military expenditure (current USD)", - "World/Persian Gulf/SAU/Military/Military expenditure (current USD)", - "World/South Africa/SEN/Military/Military expenditure (current USD)", - "World/Asia/THA/Military/Military expenditure (current USD)", - "World/North Africa/TUR/Military/Military expenditure (current USD)", - "World/Pair/USA/Military/Military expenditure (current USD)", - "World/Asia/VNM/Military/Military expenditure (current USD)", - "World/Persian Gulf/YEM/Military/Military expenditure (current USD)", - "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions", - "World/Latam/BRA/Internet/Mobile cellular subscriptions", - "World/Latam/CHL/Internet/Mobile cellular subscriptions", - "World/Pair/CHN/Internet/Mobile cellular subscriptions", - "World/Europe/DEU/Internet/Mobile cellular subscriptions", - "World/North Africa/DZA/Internet/Mobile cellular subscriptions", - "World/North Africa/EGY/Internet/Mobile cellular subscriptions", - "World/Europe/FRA/Internet/Mobile cellular subscriptions", - "World/Europe/GBR/Internet/Mobile cellular subscriptions", - "World/Europe/HRV/Internet/Mobile cellular subscriptions", - "World/Asia/IDN/Internet/Mobile cellular subscriptions", - "World/North Africa/ISR/Internet/Mobile cellular subscriptions", - "World/Asia/KOR/Internet/Mobile cellular subscriptions", - "World/North Africa/MAR/Internet/Mobile cellular subscriptions", - "World/Latam/MEX/Internet/Mobile cellular subscriptions", - "World/Europe/NLD/Internet/Mobile cellular subscriptions", - "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions", - "World/Latam/PER/Internet/Mobile cellular subscriptions", - "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions", - "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions", - "World/Europe/SWE/Internet/Mobile cellular subscriptions", - "World/Asia/THA/Internet/Mobile cellular subscriptions", - "World/North Africa/TUR/Internet/Mobile cellular subscriptions", - "World/Pair/USA/Internet/Mobile cellular subscriptions", - "World/South Africa/ZAF/Internet/Mobile cellular subscriptions", - "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/BRA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/CHL/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Pair/CHN/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/DEU/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/DZA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/EGY/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/FRA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/HRV/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Asia/IDN/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/ISR/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Asia/KOR/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/MAR/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/MEX/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/NLD/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/PER/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/SWE/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Asia/THA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/TUR/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Pair/USA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/VEN/Internet/Mobile cellular subscriptions (per 100 people)", - "World/South Africa/ZAF/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Persian Gulf/ARE/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Persian Gulf/AZE/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Asia/BGD/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/CHL/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Pair/CHN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/South Africa/CMR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/COL/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/CRI/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/DEU/Economy/Monetary Sector credit to private sector (% GDP)", - "World/North Africa/DZA/Economy/Monetary Sector credit to private sector (% GDP)", - "World/North Africa/EGY/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/FRA/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/GRC/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/HRV/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Asia/IND/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Asia/KOR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/South Africa/LBR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/North Africa/MAR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/MEX/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Persian Gulf/OMN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/PAN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/PER/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/POL/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Persian Gulf/QAT/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Persian Gulf/SAU/Economy/Monetary Sector credit to private sector (% GDP)", - "World/South Africa/SEN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/SWE/Economy/Monetary Sector credit to private sector (% GDP)", - "World/North Africa/TUR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/VEN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Asia/VNM/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/AUT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/AZE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/BGD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Pair/CHN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/South Africa/CMR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/DEU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/North Africa/DZA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/ESP/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/GBR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/GRC/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/HRV/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/IDN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/North Africa/ISR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/KOR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/North Africa/MAR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Latam/MEX/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/South Africa/MOZ/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/South Africa/NGA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/NLD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/OMN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/PHL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/POL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/QAT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/SAU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/SWE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/THA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/North Africa/TUR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Latam/VEN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/VNM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/YEM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/ARE/Economy/Net barter terms of trade index (2000 = 100)", - "World/Europe/AUT/Economy/Net barter terms of trade index (2000 = 100)", - "World/Latam/BRA/Economy/Net barter terms of trade index (2000 = 100)", - "World/Latam/COL/Economy/Net barter terms of trade index (2000 = 100)", - "World/North Africa/DZA/Economy/Net barter terms of trade index (2000 = 100)", - "World/North Africa/EGY/Economy/Net barter terms of trade index (2000 = 100)", - "World/Europe/ESP/Economy/Net barter terms of trade index (2000 = 100)", - "World/South Africa/GHA/Economy/Net barter terms of trade index (2000 = 100)", - "World/Asia/KOR/Economy/Net barter terms of trade index (2000 = 100)", - "World/South Africa/LBR/Economy/Net barter terms of trade index (2000 = 100)", - "World/Europe/NLD/Economy/Net barter terms of trade index (2000 = 100)", - "World/Europe/SWE/Economy/Net barter terms of trade index (2000 = 100)", - "World/Asia/VNM/Economy/Net barter terms of trade index (2000 = 100)", - "World/South Africa/ZAF/Economy/Net barter terms of trade index (2000 = 100)", - "World/Asia/BGD/Economy/Net primary income (BoP, current US$)", - "World/Latam/BRA/Economy/Net primary income (BoP, current US$)", - "World/Latam/COL/Economy/Net primary income (BoP, current US$)", - "World/Latam/CRI/Economy/Net primary income (BoP, current US$)", - "World/North Africa/EGY/Economy/Net primary income (BoP, current US$)", - "World/Europe/FRA/Economy/Net primary income (BoP, current US$)", - "World/South Africa/GHA/Economy/Net primary income (BoP, current US$)", - "World/Asia/IDN/Economy/Net primary income (BoP, current US$)", - "World/Asia/IND/Economy/Net primary income (BoP, current US$)", - "World/Asia/KOR/Economy/Net primary income (BoP, current US$)", - "World/Latam/MEX/Economy/Net primary income (BoP, current US$)", - "World/Persian Gulf/OMN/Economy/Net primary income (BoP, current US$)", - "World/Latam/PAN/Economy/Net primary income (BoP, current US$)", - "World/Europe/POL/Economy/Net primary income (BoP, current US$)", - "World/Persian Gulf/QAT/Economy/Net primary income (BoP, current US$)", - "World/Asia/THA/Economy/Net primary income (BoP, current US$)", - "World/North Africa/TUR/Economy/Net primary income (BoP, current US$)", - "World/Pair/USA/Economy/Net primary income (BoP, current US$)", - "World/Latam/VEN/Economy/Net primary income (BoP, current US$)", - "World/Asia/VNM/Economy/Net primary income (BoP, current US$)", - "World/South Africa/ZAF/Economy/Net primary income (BoP, current US$)", - "World/Asia/BGD/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/BRA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/COL/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/CRI/Economy/Net primary income (Net income from abroad) (current US$)", - "World/North Africa/EGY/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Europe/FRA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/IND/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/KOR/Economy/Net primary income (Net income from abroad) (current US$)", - "World/South Africa/LBR/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/MEX/Economy/Net primary income (Net income from abroad) (current US$)", - "World/South Africa/NGA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Persian Gulf/OMN/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/PAN/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/PHL/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Europe/POL/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Persian Gulf/SAU/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/THA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/North Africa/TUR/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Pair/USA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/VNM/Economy/Net primary income (Net income from abroad) (current US$)", - "World/South Africa/ZAF/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/BGD/Economy/Net secondary income (BoP, current US$)", - "World/Latam/COL/Economy/Net secondary income (BoP, current US$)", - "World/Latam/CRI/Economy/Net secondary income (BoP, current US$)", - "World/Europe/DEU/Economy/Net secondary income (BoP, current US$)", - "World/North Africa/EGY/Economy/Net secondary income (BoP, current US$)", - "World/Europe/ESP/Economy/Net secondary income (BoP, current US$)", - "World/Europe/FRA/Economy/Net secondary income (BoP, current US$)", - "World/Europe/GBR/Economy/Net secondary income (BoP, current US$)", - "World/Asia/IND/Economy/Net secondary income (BoP, current US$)", - "World/Asia/KOR/Economy/Net secondary income (BoP, current US$)", - "World/North Africa/MAR/Economy/Net secondary income (BoP, current US$)", - "World/Latam/MEX/Economy/Net secondary income (BoP, current US$)", - "World/South Africa/NGA/Economy/Net secondary income (BoP, current US$)", - "World/Persian Gulf/OMN/Economy/Net secondary income (BoP, current US$)", - "World/Latam/PER/Economy/Net secondary income (BoP, current US$)", - "World/Asia/PHL/Economy/Net secondary income (BoP, current US$)", - "World/Europe/POL/Economy/Net secondary income (BoP, current US$)", - "World/Persian Gulf/SAU/Economy/Net secondary income (BoP, current US$)", - "World/South Africa/SEN/Economy/Net secondary income (BoP, current US$)", - "World/Europe/SWE/Economy/Net secondary income (BoP, current US$)", - "World/Asia/THA/Economy/Net secondary income (BoP, current US$)", - "World/Pair/USA/Economy/Net secondary income (BoP, current US$)", - "World/Latam/VEN/Economy/Net secondary income (BoP, current US$)", - "World/Asia/VNM/Economy/Net secondary income (BoP, current US$)", - "World/Persian Gulf/YEM/Economy/Net secondary income (BoP, current US$)", - "World/South Africa/ZAF/Economy/Net secondary income (BoP, current US$)", - "World/Persian Gulf/ARE/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/AUT/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/COL/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/CRI/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/North Africa/DZA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/North Africa/EGY/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/ESP/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/FRA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/GBR/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/South Africa/GHA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Asia/IND/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/North Africa/ISR/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/North Africa/MAR/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/MEX/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/South Africa/NGA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Persian Gulf/OMN/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/PAN/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/PER/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Asia/PHL/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/POL/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Persian Gulf/QAT/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Persian Gulf/SAU/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/South Africa/SEN/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/SWE/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Asia/THA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Pair/USA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Asia/VNM/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Persian Gulf/YEM/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/South Africa/ZAF/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - 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"World/North Africa/EGY/Mortality/Number of neonatal deaths", - "World/Europe/FRA/Mortality/Number of neonatal deaths", - "World/Europe/GBR/Mortality/Number of neonatal deaths", - "World/South Africa/GHA/Mortality/Number of neonatal deaths", - "World/Europe/GRC/Mortality/Number of neonatal deaths", - "World/Europe/HRV/Mortality/Number of neonatal deaths", - "World/Asia/IDN/Mortality/Number of neonatal deaths", - "World/Asia/IND/Mortality/Number of neonatal deaths", - "World/North Africa/ISR/Mortality/Number of neonatal deaths", - "World/Asia/KOR/Mortality/Number of neonatal deaths", - "World/North Africa/MAR/Mortality/Number of neonatal deaths", - "World/Latam/MEX/Mortality/Number of neonatal deaths", - "World/South Africa/MOZ/Mortality/Number of neonatal deaths", - "World/South Africa/NGA/Mortality/Number of neonatal deaths", - "World/Europe/NLD/Mortality/Number of neonatal deaths", - "World/Persian Gulf/OMN/Mortality/Number of neonatal deaths", - "World/Latam/PAN/Mortality/Number of neonatal deaths", - "World/Latam/PER/Mortality/Number of neonatal deaths", - "World/Asia/PHL/Mortality/Number of neonatal deaths", - "World/Europe/POL/Mortality/Number of neonatal deaths", - "World/Persian Gulf/QAT/Mortality/Number of neonatal deaths", - "World/Persian Gulf/SAU/Mortality/Number of neonatal deaths", - "World/South Africa/SEN/Mortality/Number of neonatal deaths", - "World/Asia/THA/Mortality/Number of neonatal deaths", - "World/North Africa/TUR/Mortality/Number of neonatal deaths", - "World/Pair/USA/Mortality/Number of neonatal deaths", - "World/Asia/VNM/Mortality/Number of neonatal deaths", - "World/South Africa/ZAF/Mortality/Number of neonatal deaths", - "World/Persian Gulf/ARE/Mortality/Number of under-five deaths", - "World/Latam/ARG/Mortality/Number of under-five deaths", - "World/Europe/AUT/Mortality/Number of under-five deaths", - "World/Persian Gulf/AZE/Mortality/Number of under-five deaths", - "World/Asia/BGD/Mortality/Number of under-five deaths", - "World/Latam/BRA/Mortality/Number of under-five deaths", - "World/Latam/CHL/Mortality/Number of under-five deaths", - "World/Pair/CHN/Mortality/Number of under-five deaths", - "World/South Africa/CMR/Mortality/Number of under-five deaths", - "World/Latam/COL/Mortality/Number of under-five deaths", - "World/Latam/CRI/Mortality/Number of under-five deaths", - "World/North Africa/EGY/Mortality/Number of under-five deaths", - "World/Europe/FRA/Mortality/Number of under-five deaths", - "World/Europe/GBR/Mortality/Number of under-five deaths", - "World/South Africa/GHA/Mortality/Number of under-five deaths", - "World/Europe/GRC/Mortality/Number of under-five deaths", - "World/Europe/HRV/Mortality/Number of under-five deaths", - "World/Asia/IDN/Mortality/Number of under-five deaths", - "World/Asia/IND/Mortality/Number of under-five deaths", - "World/Persian Gulf/IRQ/Mortality/Number of under-five deaths", - "World/North Africa/ISR/Mortality/Number of under-five deaths", - "World/Asia/KOR/Mortality/Number of under-five deaths", - "World/South Africa/LBR/Mortality/Number of under-five deaths", - "World/North Africa/MAR/Mortality/Number of under-five deaths", - "World/Latam/MEX/Mortality/Number of under-five deaths", - "World/South Africa/MOZ/Mortality/Number of under-five deaths", - "World/Europe/NLD/Mortality/Number of under-five deaths", - "World/Persian Gulf/OMN/Mortality/Number of under-five deaths", - "World/Latam/PAN/Mortality/Number of under-five deaths", - "World/Latam/PER/Mortality/Number of under-five deaths", - "World/Asia/PHL/Mortality/Number of under-five deaths", - "World/Europe/POL/Mortality/Number of under-five deaths", - "World/Persian Gulf/SAU/Mortality/Number of under-five deaths", - "World/South Africa/SEN/Mortality/Number of under-five deaths", - "World/Europe/SWE/Mortality/Number of under-five deaths", - "World/Asia/THA/Mortality/Number of under-five deaths", - "World/North Africa/TUR/Mortality/Number of under-five deaths", - "World/Pair/USA/Mortality/Number of under-five deaths", - "World/Asia/VNM/Mortality/Number of under-five deaths", - "World/Latam/ARG/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/AUT/Health/Nurses and midwives (per 1,000 people)", - "World/Persian Gulf/AZE/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/BGD/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/BRA/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/CHL/Health/Nurses and midwives (per 1,000 people)", - "World/Pair/CHN/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/CMR/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/CRI/Health/Nurses and midwives (per 1,000 people)", - "World/North Africa/EGY/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/ESP/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/FRA/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/GHA/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/HRV/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/IDN/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/IND/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/KOR/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/LBR/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/MOZ/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/NLD/Health/Nurses and midwives (per 1,000 people)", - "World/Persian Gulf/OMN/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/PAN/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/PER/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/POL/Health/Nurses and midwives (per 1,000 people)", - "World/Persian Gulf/SAU/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/SWE/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/THA/Health/Nurses and midwives (per 1,000 people)", - "World/North Africa/TUR/Health/Nurses and midwives (per 1,000 people)", - "World/Pair/USA/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/VEN/Health/Nurses and midwives (per 1,000 people)", - "World/Persian Gulf/YEM/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/ZAF/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/ARG/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/AUT/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/BGD/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/BRA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/CHL/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Pair/CHN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/CMR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/COL/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/CRI/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/DEU/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/North Africa/DZA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/North Africa/EGY/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/ESP/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/FRA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/GBR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/GHA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/GRC/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/HRV/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/IDN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/IND/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/North Africa/ISR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/KOR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/LBR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/NGA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/NLD/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/PAN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/PER/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/PHL/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/POL/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Persian Gulf/SAU/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/SEN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/SWE/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Pair/USA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/VEN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/VNM/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Persian Gulf/YEM/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/ARG/Health/People practicing open defecation (% of population)", - "World/Persian Gulf/AZE/Health/People practicing open defecation (% of population)", - "World/Asia/BGD/Health/People practicing open defecation (% of population)", - "World/Latam/BRA/Health/People practicing open defecation (% of population)", - "World/Latam/CHL/Health/People practicing open defecation (% of population)", - "World/Pair/CHN/Health/People practicing open defecation (% of population)", - "World/South Africa/CMR/Health/People practicing open defecation (% of population)", - "World/Latam/COL/Health/People practicing open defecation (% of population)", - "World/Latam/CRI/Health/People practicing open defecation (% of population)", - "World/North Africa/DZA/Health/People practicing open defecation (% of population)", - "World/North Africa/EGY/Health/People practicing open defecation (% of population)", - "World/South Africa/GHA/Health/People practicing open defecation (% of population)", - "World/Europe/GRC/Health/People practicing open defecation (% of population)", - "World/Asia/IDN/Health/People practicing open defecation (% of population)", - "World/Asia/IND/Health/People practicing open defecation (% of population)", - "World/Persian Gulf/IRQ/Health/People practicing open defecation (% of population)", - "World/South Africa/LBR/Health/People practicing open defecation (% of population)", - "World/North Africa/MAR/Health/People practicing open defecation (% of population)", - "World/Latam/MEX/Health/People practicing open defecation (% of population)", - "World/South Africa/MOZ/Health/People practicing open defecation (% of population)", - "World/South Africa/NGA/Health/People practicing open defecation (% of population)", - "World/Persian Gulf/OMN/Health/People practicing open defecation (% of population)", - "World/Latam/PAN/Health/People practicing open defecation (% of population)", - "World/Latam/PER/Health/People practicing open defecation (% of population)", - "World/Asia/PHL/Health/People practicing open defecation (% of population)", - "World/South Africa/SEN/Health/People practicing open defecation (% of population)", - "World/Asia/THA/Health/People practicing open defecation (% of population)", - "World/North Africa/TUR/Health/People practicing open defecation (% of population)", - "World/Latam/VEN/Health/People practicing open defecation (% of population)", - "World/Asia/VNM/Health/People practicing open defecation (% of population)", - "World/Persian Gulf/YEM/Health/People practicing open defecation (% of population)", - "World/South Africa/ZAF/Health/People practicing open defecation (% of population)", - "World/Persian Gulf/ARE/Health/People using at least basic drinking water services (% of population)", - "World/Latam/ARG/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/AZE/Health/People using at least basic drinking water services (% of population)", - "World/Asia/BGD/Health/People using at least basic drinking water services (% of population)", - "World/Latam/BRA/Health/People using at least basic drinking water services (% of population)", - "World/Latam/CHL/Health/People using at least basic drinking water services (% of population)", - "World/Pair/CHN/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/CMR/Health/People using at least basic drinking water services (% of population)", - "World/Latam/COL/Health/People using at least basic drinking water services (% of population)", - "World/Latam/CRI/Health/People using at least basic drinking water services (% of population)", - "World/North Africa/DZA/Health/People using at least basic drinking water services (% of population)", - "World/North Africa/EGY/Health/People using at least basic drinking water services (% of population)", - "World/Europe/ESP/Health/People using at least basic drinking water services (% of population)", - "World/Europe/FRA/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/GHA/Health/People using at least basic drinking water services (% of population)", - "World/Europe/GRC/Health/People using at least basic drinking water services (% of population)", - "World/Europe/HRV/Health/People using at least basic drinking water services (% of population)", - "World/Asia/IDN/Health/People using at least basic drinking water services (% of population)", - "World/Asia/IND/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/IRQ/Health/People using at least basic drinking water services (% of population)", - "World/Asia/KOR/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/LBR/Health/People using at least basic drinking water services (% of population)", - "World/North Africa/MAR/Health/People using at least basic drinking water services (% of population)", - "World/Latam/MEX/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/MOZ/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/NGA/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/OMN/Health/People using at least basic drinking water services (% of population)", - "World/Latam/PAN/Health/People using at least basic drinking water services (% of population)", - "World/Latam/PER/Health/People using at least basic drinking water services (% of population)", - "World/Asia/PHL/Health/People using at least basic drinking water services (% of population)", - "World/Europe/POL/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/QAT/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/SAU/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/SEN/Health/People using at least basic drinking water services (% of population)", - "World/Europe/SWE/Health/People using at least basic drinking water services (% of population)", - "World/Asia/THA/Health/People using at least basic drinking water services (% of population)", - "World/North Africa/TUR/Health/People using at least basic drinking water services (% of population)", - "World/Pair/USA/Health/People using at least basic drinking water services (% of population)", - "World/Latam/VEN/Health/People using at least basic drinking water services (% of population)", - "World/Asia/VNM/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/YEM/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/ZAF/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/ARE/Health/People using at least basic sanitation services (% of population)", - "World/Latam/ARG/Health/People using at least basic sanitation services (% of population)", - "World/Europe/AUT/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/AZE/Health/People using at least basic sanitation services (% of population)", - "World/Asia/BGD/Health/People using at least basic sanitation services (% of population)", - "World/Latam/BRA/Health/People using at least basic sanitation services (% of population)", - "World/Latam/CHL/Health/People using at least basic sanitation services (% of population)", - "World/Pair/CHN/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/CMR/Health/People using at least basic sanitation services (% of population)", - "World/Latam/COL/Health/People using at least basic sanitation services (% of population)", - "World/Latam/CRI/Health/People using at least basic sanitation services (% of population)", - "World/Europe/DEU/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/DZA/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/EGY/Health/People using at least basic sanitation services (% of population)", - "World/Europe/ESP/Health/People using at least basic sanitation services (% of population)", - "World/Europe/FRA/Health/People using at least basic sanitation services (% of population)", - "World/Europe/GBR/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/GHA/Health/People using at least basic sanitation services (% of population)", - "World/Europe/GRC/Health/People using at least basic sanitation services (% of population)", - "World/Europe/HRV/Health/People using at least basic sanitation services (% of population)", - "World/Asia/IDN/Health/People using at least basic sanitation services (% of population)", - "World/Asia/IND/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/IRQ/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/ISR/Health/People using at least basic sanitation services (% of population)", - "World/Asia/KOR/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/LBR/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/MAR/Health/People using at least basic sanitation services (% of population)", - "World/Latam/MEX/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/MOZ/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/NGA/Health/People using at least basic sanitation services (% of population)", - "World/Europe/NLD/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/OMN/Health/People using at least basic sanitation services (% of population)", - "World/Latam/PAN/Health/People using at least basic sanitation services (% of population)", - "World/Latam/PER/Health/People using at least basic sanitation services (% of population)", - "World/Asia/PHL/Health/People using at least basic sanitation services (% of population)", - "World/Europe/POL/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/SAU/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/SEN/Health/People using at least basic sanitation services (% of population)", - "World/Europe/SWE/Health/People using at least basic sanitation services (% of population)", - "World/Asia/THA/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/TUR/Health/People using at least basic sanitation services (% of population)", - "World/Pair/USA/Health/People using at least basic sanitation services (% of population)", - "World/Latam/VEN/Health/People using at least basic sanitation services (% of population)", - "World/Asia/VNM/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/YEM/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/ZAF/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/ARE/Health/People using safely managed sanitation services (% of population)", - "World/Latam/ARG/Health/People using safely managed sanitation services (% of population)", - "World/Europe/AUT/Health/People using safely managed sanitation services (% of population)", - "World/Persian Gulf/AZE/Health/People using safely managed sanitation services (% of population)", - "World/Asia/BGD/Health/People using safely managed sanitation services (% of population)", - "World/Latam/BRA/Health/People using safely managed sanitation services (% of population)", - "World/Latam/CHL/Health/People using safely managed sanitation services (% of population)", - "World/Pair/CHN/Health/People using safely managed sanitation services (% of population)", - "World/Latam/COL/Health/People using safely managed sanitation services (% of population)", - "World/Latam/CRI/Health/People using safely managed sanitation services (% of population)", - "World/Europe/DEU/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/DZA/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/EGY/Health/People using safely managed sanitation services (% of population)", - "World/Europe/FRA/Health/People using safely managed sanitation services (% of population)", - "World/Europe/GBR/Health/People using safely managed sanitation services (% of population)", - "World/South Africa/GHA/Health/People using safely managed sanitation services (% of population)", - "World/Europe/GRC/Health/People using safely managed sanitation services (% of population)", - "World/Asia/IND/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/ISR/Health/People using safely managed sanitation services (% of population)", - "World/Asia/KOR/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/MAR/Health/People using safely managed sanitation services (% of population)", - "World/Latam/MEX/Health/People using safely managed sanitation services (% of population)", - "World/South Africa/NGA/Health/People using safely managed sanitation services (% of population)", - "World/Europe/NLD/Health/People using safely managed sanitation services (% of population)", - "World/Latam/PER/Health/People using safely managed sanitation services (% of population)", - "World/Asia/PHL/Health/People using safely managed sanitation services (% of population)", - "World/Europe/POL/Health/People using safely managed sanitation services (% of population)", - "World/Persian Gulf/QAT/Health/People using safely managed sanitation services (% of population)", - "World/Persian Gulf/SAU/Health/People using safely managed sanitation services (% of population)", - "World/South Africa/SEN/Health/People using safely managed sanitation services (% of population)", - "World/Europe/SWE/Health/People using safely managed sanitation services (% of population)", - "World/Asia/THA/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/TUR/Health/People using safely managed sanitation services (% of population)", - "World/Pair/USA/Health/People using safely managed sanitation services (% of population)", - "World/Latam/VEN/Health/People using safely managed sanitation services (% of population)", - "World/Persian Gulf/YEM/Health/People using safely managed sanitation services (% of population)", - "World/Europe/AUT/Agriculture/Permanent cropland (% of land area)", - "World/Persian Gulf/AZE/Agriculture/Permanent cropland (% of land area)", - "World/Latam/CHL/Agriculture/Permanent cropland (% of land area)", - "World/Pair/CHN/Agriculture/Permanent cropland (% of land area)", - "World/South Africa/CMR/Agriculture/Permanent cropland (% of land area)", - "World/Latam/COL/Agriculture/Permanent cropland (% of land area)", - "World/Latam/CRI/Agriculture/Permanent cropland (% of land area)", - "World/North Africa/DZA/Agriculture/Permanent cropland (% of land area)", - "World/Europe/FRA/Agriculture/Permanent cropland (% of land area)", - "World/Europe/GRC/Agriculture/Permanent cropland (% of land area)", - "World/Asia/IDN/Agriculture/Permanent cropland (% of land area)", - "World/Asia/IND/Agriculture/Permanent cropland (% of land area)", - "World/North Africa/MAR/Agriculture/Permanent cropland (% of land area)", - "World/Latam/MEX/Agriculture/Permanent cropland (% of land area)", - "World/South Africa/MOZ/Agriculture/Permanent cropland (% of land area)", - "World/Europe/NLD/Agriculture/Permanent cropland (% of land area)", - "World/Persian Gulf/OMN/Agriculture/Permanent cropland (% of land area)", - "World/Latam/PER/Agriculture/Permanent cropland (% of land area)", - "World/Asia/PHL/Agriculture/Permanent cropland (% of land area)", - "World/South Africa/SEN/Agriculture/Permanent cropland (% of land area)", - "World/Asia/THA/Agriculture/Permanent cropland (% of land area)", - "World/North Africa/TUR/Agriculture/Permanent cropland (% of land area)", - "World/Asia/VNM/Agriculture/Permanent cropland (% of land area)", - "World/Persian Gulf/YEM/Agriculture/Permanent cropland (% of land area)", - "World/South Africa/ZAF/Agriculture/Permanent cropland (% of land area)", - "World/Persian Gulf/ARE/Demography/Population ages 0-14 (% of total population)", - "World/Latam/ARG/Demography/Population ages 0-14 (% of total population)", - "World/Europe/AUT/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/AZE/Demography/Population ages 0-14 (% of total population)", - "World/Asia/BGD/Demography/Population ages 0-14 (% of total population)", - "World/Latam/BRA/Demography/Population ages 0-14 (% of total population)", - "World/Latam/CHL/Demography/Population ages 0-14 (% of total population)", - "World/Pair/CHN/Demography/Population ages 0-14 (% of total population)", - "World/South Africa/CMR/Demography/Population ages 0-14 (% of total population)", - "World/Latam/COL/Demography/Population ages 0-14 (% of total population)", - "World/Latam/CRI/Demography/Population ages 0-14 (% of total population)", - "World/North Africa/EGY/Demography/Population ages 0-14 (% of total population)", - "World/Europe/FRA/Demography/Population ages 0-14 (% of total population)", - "World/South Africa/GHA/Demography/Population ages 0-14 (% of total population)", - "World/Europe/HRV/Demography/Population ages 0-14 (% of total population)", - "World/Asia/IDN/Demography/Population ages 0-14 (% of total population)", - "World/Asia/IND/Demography/Population ages 0-14 (% of total population)", - "World/Asia/KOR/Demography/Population ages 0-14 (% of total population)", - "World/North Africa/MAR/Demography/Population ages 0-14 (% of total population)", - "World/Latam/MEX/Demography/Population ages 0-14 (% of total population)", - "World/Europe/NLD/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/OMN/Demography/Population ages 0-14 (% of total population)", - "World/Latam/PAN/Demography/Population ages 0-14 (% of total population)", - "World/Latam/PER/Demography/Population ages 0-14 (% of total population)", - "World/Asia/PHL/Demography/Population ages 0-14 (% of total population)", - "World/Europe/POL/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/QAT/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/SAU/Demography/Population ages 0-14 (% of total population)", - "World/South Africa/SEN/Demography/Population ages 0-14 (% of total population)", - "World/Asia/THA/Demography/Population ages 0-14 (% of total population)", - "World/North Africa/TUR/Demography/Population ages 0-14 (% of total population)", - "World/Pair/USA/Demography/Population ages 0-14 (% of total population)", - "World/Latam/VEN/Demography/Population ages 0-14 (% of total population)", - "World/Asia/VNM/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/YEM/Demography/Population ages 0-14 (% of total population)", - "World/South Africa/ZAF/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/ARE/Demography/Population ages 15-64 (% of total population)", - "World/Latam/ARG/Demography/Population ages 15-64 (% of total population)", - "World/Persian Gulf/AZE/Demography/Population ages 15-64 (% of total population)", - "World/Asia/BGD/Demography/Population ages 15-64 (% of total population)", - "World/Latam/BRA/Demography/Population ages 15-64 (% of total population)", - 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"World/Europe/ESP/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Europe/GBR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/South Africa/GHA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Europe/GRC/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Asia/IND/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/North Africa/ISR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/North Africa/MAR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/MEX/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/South Africa/MOZ/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/South Africa/NGA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - 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"World/Europe/ESP/Economy/Primary income payments (BoP, current US$)", - "World/South Africa/GHA/Economy/Primary income payments (BoP, current US$)", - "World/Europe/GRC/Economy/Primary income payments (BoP, current US$)", - "World/Europe/HRV/Economy/Primary income payments (BoP, current US$)", - "World/Asia/IDN/Economy/Primary income payments (BoP, current US$)", - "World/Asia/IND/Economy/Primary income payments (BoP, current US$)", - "World/North Africa/ISR/Economy/Primary income payments (BoP, current US$)", - "World/Asia/KOR/Economy/Primary income payments (BoP, current US$)", - "World/Latam/MEX/Economy/Primary income payments (BoP, current US$)", - "World/Europe/NLD/Economy/Primary income payments (BoP, current US$)", - "World/Persian Gulf/OMN/Economy/Primary income payments (BoP, current US$)", - "World/Latam/PAN/Economy/Primary income payments (BoP, current US$)", - "World/Latam/PER/Economy/Primary income payments (BoP, current US$)", - "World/Asia/PHL/Economy/Primary income payments (BoP, current US$)", - "World/Europe/POL/Economy/Primary income payments (BoP, current US$)", - "World/Persian Gulf/SAU/Economy/Primary income payments (BoP, current US$)", - "World/South Africa/SEN/Economy/Primary income payments (BoP, current US$)", - "World/Asia/THA/Economy/Primary income payments (BoP, current US$)", - "World/North Africa/TUR/Economy/Primary income payments (BoP, current US$)", - "World/Pair/USA/Economy/Primary income payments (BoP, current US$)", - "World/Latam/VEN/Economy/Primary income payments (BoP, current US$)", - "World/Asia/VNM/Economy/Primary income payments (BoP, current US$)", - "World/South Africa/ZAF/Economy/Primary income payments (BoP, current US$)", - "World/Persian Gulf/AZE/Economy/Primary income receipts (BoP, current US$)", - "World/Latam/CHL/Economy/Primary income receipts (BoP, current US$)", - "World/Pair/CHN/Economy/Primary income receipts (BoP, current US$)", - "World/Latam/COL/Economy/Primary income receipts (BoP, current US$)", - "World/Europe/ESP/Economy/Primary income receipts (BoP, current US$)", - 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"World/Asia/THA/Economy/Primary income receipts (BoP, current US$)", - "World/Pair/USA/Economy/Primary income receipts (BoP, current US$)", - "World/Asia/VNM/Economy/Primary income receipts (BoP, current US$)", - "World/Persian Gulf/YEM/Economy/Primary income receipts (BoP, current US$)", - "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/AZE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/BGD/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/BRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/COL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/CRI/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/North Africa/EGY/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/IND/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/LBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/MEX/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/NGA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/NLD/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/OMN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/PAN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/PER/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/PHL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/POL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/QAT/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/SAU/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/SEN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Pair/USA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/YEM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/COL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/GRC/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/IND/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/South Africa/NGA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/NLD/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Persian Gulf/OMN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/PAN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/PER/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/PHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/POL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Persian Gulf/QAT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Persian Gulf/SAU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/South Africa/SEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/THA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Pair/USA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/VEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Persian Gulf/ARE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/ARG/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/AUT/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/AZE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/BGD/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/BRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/CHL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Pair/CHN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/CMR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/COL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/CRI/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/DZA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/EGY/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/ESP/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/FRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/GBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/GHA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/GRC/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/HRV/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/IDN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/IND/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/ISR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/KOR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/LBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/MAR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/MEX/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/MOZ/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/NGA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/NLD/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/OMN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/PAN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/PER/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/PHL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/POL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/QAT/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/SAU/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/SEN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/SWE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/THA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/TUR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Pair/USA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/VNM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/YEM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/ARE/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/ARG/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/AUT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/BGD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/CHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Pair/CHN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/CMR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/COL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/DEU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/DZA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/EGY/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/ESP/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/FRA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/GBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/GHA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/GRC/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/HRV/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/IDN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/IND/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/ISR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/KOR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/LBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/MAR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/NGA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/NLD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Persian Gulf/OMN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/PAN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/PER/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/PHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/POL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Persian Gulf/QAT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Persian Gulf/SAU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/SEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/THA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/TUR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/VEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/VNM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Persian Gulf/YEM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/ARG/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Persian Gulf/AZE/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/CHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Pair/CHN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/COL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/CRI/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/North Africa/EGY/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Europe/ESP/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/South Africa/GHA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Europe/GRC/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Asia/IND/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/MEX/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/South Africa/MOZ/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/South Africa/NGA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/PAN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/PER/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Asia/PHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Persian Gulf/SAU/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/South Africa/SEN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Asia/THA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/North Africa/TUR/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Pair/USA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Asia/VNM/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Persian Gulf/YEM/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Persian Gulf/AZE/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/BGD/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Latam/BRA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Latam/CHL/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Pair/CHN/Equality/Proportion of seats held by women in national parliaments (%)", - "World/South Africa/CMR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/North Africa/DZA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/North Africa/EGY/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Europe/GBR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/South Africa/GHA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/IND/Equality/Proportion of seats held by women in national parliaments (%)", - "World/North Africa/ISR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/KOR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Latam/MEX/Equality/Proportion of seats held by women in national parliaments (%)", - "World/South Africa/MOZ/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Latam/PAN/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/PHL/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Europe/POL/Equality/Proportion of seats held by women in national parliaments (%)", - "World/South Africa/SEN/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/THA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/North Africa/TUR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Pair/USA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/VNM/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/GHA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Asia/IND/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/NGA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/YEM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Pair/CHN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/POL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/VEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Persian Gulf/ARE/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Latam/ARG/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/BGD/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Pair/CHN/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Latam/CRI/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/DEU/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/North Africa/EGY/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/GBR/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/South Africa/GHA/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/GRC/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/IDN/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/IND/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/KOR/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/North Africa/MAR/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Latam/MEX/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/South Africa/MOZ/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/NLD/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Latam/PAN/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/PHL/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/POL/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Persian Gulf/SAU/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/SWE/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/North Africa/TUR/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Pair/USA/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/VNM/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/South Africa/ZAF/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Persian Gulf/ARE/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/ARG/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/AUT/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/AZE/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/BGD/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/BRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/CHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Pair/CHN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/CMR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/COL/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/CRI/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/DZA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/EGY/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/ESP/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/FRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/GBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/GHA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/IDN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/IND/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/ISR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/KOR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/LBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/MAR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/MEX/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/MOZ/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/NGA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/NLD/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/OMN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/PAN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/PER/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/PHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/POL/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/QAT/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/SAU/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/SEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/THA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/TUR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Pair/USA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/VEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/VNM/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/YEM/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/ZAF/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/AUT/R&D/Researchers in R&D (per million people)", - "World/Latam/BRA/R&D/Researchers in R&D (per million people)", - "World/Pair/CHN/R&D/Researchers in R&D (per million people)", - "World/Europe/DEU/R&D/Researchers in R&D (per million people)", - "World/North Africa/DZA/R&D/Researchers in R&D (per million people)", - "World/Europe/ESP/R&D/Researchers in R&D (per million people)", - "World/Europe/FRA/R&D/Researchers in R&D (per million people)", - "World/Europe/GBR/R&D/Researchers in R&D (per million people)", - "World/South Africa/GHA/R&D/Researchers in R&D (per million people)", - "World/Europe/GRC/R&D/Researchers in R&D (per million people)", - "World/Asia/IND/R&D/Researchers in R&D (per million people)", - "World/Asia/KOR/R&D/Researchers in R&D (per million people)", - "World/North Africa/MAR/R&D/Researchers in R&D (per million people)", - "World/South Africa/MOZ/R&D/Researchers in R&D (per million people)", - "World/Europe/NLD/R&D/Researchers in R&D (per million people)", - "World/Persian Gulf/OMN/R&D/Researchers in R&D (per million people)", - "World/Asia/PHL/R&D/Researchers in R&D (per million people)", - "World/Europe/POL/R&D/Researchers in R&D (per million people)", - "World/Asia/THA/R&D/Researchers in R&D (per million people)", - "World/North Africa/TUR/R&D/Researchers in R&D (per million people)", - "World/Pair/USA/R&D/Researchers in R&D (per million people)", - "World/Latam/VEN/R&D/Researchers in R&D (per million people)", - "World/Persian Gulf/AZE/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/BGD/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/BRA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/CHL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Pair/CHN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/CRI/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/North Africa/EGY/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Europe/ESP/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/South Africa/GHA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/IND/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/KOR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/North Africa/MAR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/MEX/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/PAN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/PER/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Europe/POL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/THA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Pair/USA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/VNM/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Persian Gulf/AZE/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/BGD/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/BRA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/CHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Pair/CHN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/South Africa/CMR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/COL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/CRI/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/North Africa/DZA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/North Africa/EGY/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/South Africa/GHA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/IDN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/IND/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/North Africa/MAR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/MEX/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/South Africa/MOZ/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/PAN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/PER/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/PHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Europe/POL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/South Africa/SEN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/THA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/VNM/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Persian Gulf/ARE/Demography/Rural population", - "World/Latam/ARG/Demography/Rural population", - "World/Europe/AUT/Demography/Rural population", - "World/Persian Gulf/AZE/Demography/Rural population", - "World/Asia/BGD/Demography/Rural population", - "World/Latam/BRA/Demography/Rural population", - "World/Pair/CHN/Demography/Rural population", - "World/South Africa/CMR/Demography/Rural population", - "World/Latam/COL/Demography/Rural population", - "World/Latam/CRI/Demography/Rural population", - "World/North Africa/DZA/Demography/Rural population", - "World/North Africa/EGY/Demography/Rural population", - "World/Europe/FRA/Demography/Rural population", - "World/Europe/GBR/Demography/Rural population", - "World/South Africa/GHA/Demography/Rural population", - "World/Europe/GRC/Demography/Rural population", - "World/Europe/HRV/Demography/Rural population", - "World/Asia/IDN/Demography/Rural population", - "World/Asia/IND/Demography/Rural population", - "World/North Africa/ISR/Demography/Rural population", - "World/South Africa/LBR/Demography/Rural population", - "World/North Africa/MAR/Demography/Rural population", - "World/South Africa/MOZ/Demography/Rural population", - "World/South Africa/NGA/Demography/Rural population", - "World/Europe/NLD/Demography/Rural population", - "World/Persian Gulf/OMN/Demography/Rural population", - "World/Latam/PAN/Demography/Rural population", - "World/Asia/PHL/Demography/Rural population", - "World/Europe/POL/Demography/Rural population", - "World/Persian Gulf/QAT/Demography/Rural population", - "World/Persian Gulf/SAU/Demography/Rural population", - "World/South Africa/SEN/Demography/Rural population", - "World/North Africa/TUR/Demography/Rural population", - "World/Pair/USA/Demography/Rural population", - "World/Asia/VNM/Demography/Rural population", - "World/Persian Gulf/YEM/Demography/Rural population", - "World/Persian Gulf/ARE/Demography/Rural population (% of total population)", - "World/Latam/ARG/Demography/Rural population (% of total population)", - "World/Persian Gulf/AZE/Demography/Rural population (% of total population)", - "World/Asia/BGD/Demography/Rural population (% of total population)", - "World/Latam/BRA/Demography/Rural population (% of total population)", - "World/Latam/CHL/Demography/Rural population (% of total population)", - "World/Pair/CHN/Demography/Rural population (% of total population)", - "World/South Africa/CMR/Demography/Rural population (% of total population)", - "World/Latam/COL/Demography/Rural population (% of total population)", - "World/Latam/CRI/Demography/Rural population (% of total population)", - "World/Europe/DEU/Demography/Rural population (% of total population)", - "World/North Africa/DZA/Demography/Rural population (% of total population)", - "World/Europe/ESP/Demography/Rural population (% of total population)", - "World/Europe/FRA/Demography/Rural population (% of total population)", - "World/Europe/GBR/Demography/Rural population (% of total population)", - "World/South Africa/GHA/Demography/Rural population (% of total population)", - "World/Europe/GRC/Demography/Rural population (% of total population)", - "World/Europe/HRV/Demography/Rural population (% of total population)", - "World/Asia/IDN/Demography/Rural population (% of total population)", - "World/Asia/IND/Demography/Rural population (% of total population)", - "World/Persian Gulf/IRQ/Demography/Rural population (% of total population)", - "World/North Africa/ISR/Demography/Rural population (% of total population)", - "World/South Africa/LBR/Demography/Rural population (% of total population)", - "World/North Africa/MAR/Demography/Rural population (% of total population)", - "World/Latam/MEX/Demography/Rural population (% of total population)", - "World/South Africa/MOZ/Demography/Rural population (% of total population)", - "World/South Africa/NGA/Demography/Rural population (% of total population)", - "World/Europe/NLD/Demography/Rural population (% of total population)", - "World/Persian Gulf/OMN/Demography/Rural population (% of total population)", - "World/Latam/PAN/Demography/Rural population (% of total population)", - "World/Latam/PER/Demography/Rural population (% of total population)", - "World/Europe/POL/Demography/Rural population (% of total population)", - "World/Persian Gulf/QAT/Demography/Rural population (% of total population)", - "World/Persian Gulf/SAU/Demography/Rural population (% of total population)", - "World/South Africa/SEN/Demography/Rural population (% of total population)", - "World/Asia/THA/Demography/Rural population (% of total population)", - "World/North Africa/TUR/Demography/Rural population (% of total population)", - "World/Pair/USA/Demography/Rural population (% of total population)", - "World/Latam/VEN/Demography/Rural population (% of total population)", - "World/Asia/VNM/Demography/Rural population (% of total population)", - "World/Persian Gulf/YEM/Demography/Rural population (% of total population)", - "World/South Africa/ZAF/Demography/Rural population (% of total population)", - "World/Persian Gulf/ARE/industry/Scientific and technical journal articles", - "World/Latam/ARG/industry/Scientific and technical journal articles", - "World/Europe/AUT/industry/Scientific and technical journal articles", - "World/Persian Gulf/AZE/industry/Scientific and technical journal articles", - "World/Asia/BGD/industry/Scientific and technical journal articles", - "World/Latam/BRA/industry/Scientific and technical journal articles", - "World/Latam/CHL/industry/Scientific and technical journal articles", - "World/Pair/CHN/industry/Scientific and technical journal articles", - "World/South Africa/CMR/industry/Scientific and technical journal articles", - "World/Latam/COL/industry/Scientific and technical journal articles", - "World/Latam/CRI/industry/Scientific and technical journal articles", - "World/North Africa/DZA/industry/Scientific and technical journal articles", - "World/North Africa/EGY/industry/Scientific and technical journal articles", - "World/Europe/ESP/industry/Scientific and technical journal articles", - "World/Europe/FRA/industry/Scientific and technical journal articles", - "World/Europe/GBR/industry/Scientific and technical journal articles", - "World/South Africa/GHA/industry/Scientific and technical journal articles", - "World/Europe/GRC/industry/Scientific and technical journal articles", - "World/Europe/HRV/industry/Scientific and technical journal articles", - "World/Asia/IDN/industry/Scientific and technical journal articles", - "World/Asia/IND/industry/Scientific and technical journal articles", - "World/Persian Gulf/IRQ/industry/Scientific and technical journal articles", - "World/North Africa/ISR/industry/Scientific and technical journal articles", - "World/Asia/KOR/industry/Scientific and technical journal articles", - "World/South Africa/LBR/industry/Scientific and technical journal articles", - "World/North Africa/MAR/industry/Scientific and technical journal articles", - "World/Latam/MEX/industry/Scientific and technical journal articles", - "World/South Africa/MOZ/industry/Scientific and technical journal articles", - "World/South Africa/NGA/industry/Scientific and technical journal articles", - "World/Europe/NLD/industry/Scientific and technical journal articles", - "World/Persian Gulf/OMN/industry/Scientific and technical journal articles", - "World/Latam/PAN/industry/Scientific and technical journal articles", - "World/Latam/PER/industry/Scientific and technical journal articles", - "World/Asia/PHL/industry/Scientific and technical journal articles", - "World/Europe/POL/industry/Scientific and technical journal articles", - "World/Persian Gulf/QAT/industry/Scientific and technical journal articles", - "World/Persian Gulf/SAU/industry/Scientific and technical journal articles", - "World/South Africa/SEN/industry/Scientific and technical journal articles", - "World/Europe/SWE/industry/Scientific and technical journal articles", - "World/Asia/THA/industry/Scientific and technical journal articles", - "World/North Africa/TUR/industry/Scientific and technical journal articles", - "World/Pair/USA/industry/Scientific and technical journal articles", - "World/Latam/VEN/industry/Scientific and technical journal articles", - "World/Asia/VNM/industry/Scientific and technical journal articles", - "World/Persian Gulf/YEM/industry/Scientific and technical journal articles", - "World/South Africa/ZAF/industry/Scientific and technical journal articles", - "World/Persian Gulf/AZE/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/BGD/Economy/Secondary income receipts (BoP, current US$)", - "World/Latam/CHL/Economy/Secondary income receipts (BoP, current US$)", - "World/South Africa/CMR/Economy/Secondary income receipts (BoP, current US$)", - "World/Latam/COL/Economy/Secondary income receipts (BoP, current US$)", - "World/Latam/CRI/Economy/Secondary income receipts (BoP, current US$)", - "World/Europe/DEU/Economy/Secondary income receipts (BoP, current US$)", - "World/North Africa/DZA/Economy/Secondary income receipts (BoP, current US$)", - "World/North Africa/EGY/Economy/Secondary income receipts (BoP, current US$)", - "World/South Africa/GHA/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/IDN/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/IND/Economy/Secondary income receipts (BoP, current US$)", - "World/North Africa/ISR/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/KOR/Economy/Secondary income receipts (BoP, current US$)", - "World/North Africa/MAR/Economy/Secondary income receipts (BoP, current US$)", - "World/Latam/MEX/Economy/Secondary income receipts (BoP, current US$)", - "World/South Africa/NGA/Economy/Secondary income receipts (BoP, current US$)", - "World/Europe/NLD/Economy/Secondary income receipts (BoP, current US$)", - "World/Latam/PER/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/PHL/Economy/Secondary income receipts (BoP, current US$)", - "World/South Africa/SEN/Economy/Secondary income receipts (BoP, current US$)", - "World/Europe/SWE/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/THA/Economy/Secondary income receipts (BoP, current US$)", - "World/Pair/USA/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/VNM/Economy/Secondary income receipts (BoP, current US$)", - "World/Persian Gulf/YEM/Economy/Secondary income receipts (BoP, current US$)", - "World/South Africa/ZAF/Economy/Secondary income receipts (BoP, current US$)", - "World/Europe/AUT/Exports/Service exports (BoP, current US$)", - "World/Persian Gulf/AZE/Exports/Service exports (BoP, current US$)", - "World/Asia/BGD/Exports/Service exports (BoP, current US$)", - "World/Latam/BRA/Exports/Service exports (BoP, current US$)", - "World/Latam/CHL/Exports/Service exports (BoP, current US$)", - "World/Pair/CHN/Exports/Service exports (BoP, current US$)", - "World/South Africa/CMR/Exports/Service exports (BoP, current US$)", - "World/Latam/COL/Exports/Service exports (BoP, current US$)", - "World/Latam/CRI/Exports/Service exports (BoP, current US$)", - "World/Europe/DEU/Exports/Service exports (BoP, current US$)", - "World/North Africa/DZA/Exports/Service exports (BoP, current US$)", - "World/Europe/ESP/Exports/Service exports (BoP, current US$)", - "World/Europe/FRA/Exports/Service exports (BoP, current US$)", - "World/Europe/GBR/Exports/Service exports (BoP, current US$)", - "World/South Africa/GHA/Exports/Service exports (BoP, current US$)", - "World/Europe/GRC/Exports/Service exports (BoP, current US$)", - "World/Europe/HRV/Exports/Service exports (BoP, current US$)", - "World/Asia/IDN/Exports/Service exports (BoP, current US$)", - "World/Asia/IND/Exports/Service exports (BoP, current US$)", - "World/North Africa/ISR/Exports/Service exports (BoP, current US$)", - "World/Asia/KOR/Exports/Service exports (BoP, current US$)", - "World/North Africa/MAR/Exports/Service exports (BoP, current US$)", - "World/Europe/NLD/Exports/Service exports (BoP, current US$)", - "World/Persian Gulf/OMN/Exports/Service exports (BoP, current US$)", - "World/Latam/PAN/Exports/Service exports (BoP, current US$)", - "World/Latam/PER/Exports/Service exports (BoP, current US$)", - "World/Asia/PHL/Exports/Service exports (BoP, current US$)", - "World/Europe/POL/Exports/Service exports (BoP, current US$)", - "World/Persian Gulf/QAT/Exports/Service exports (BoP, current US$)", - "World/Persian Gulf/SAU/Exports/Service exports (BoP, current US$)", - "World/South Africa/SEN/Exports/Service exports (BoP, current US$)", - "World/Europe/SWE/Exports/Service exports (BoP, current US$)", - "World/Asia/THA/Exports/Service exports (BoP, current US$)", - "World/North Africa/TUR/Exports/Service exports (BoP, current US$)", - "World/Pair/USA/Exports/Service exports (BoP, current US$)", - "World/Asia/VNM/Exports/Service exports (BoP, current US$)", - "World/South Africa/ZAF/Exports/Service exports (BoP, current US$)", - "World/Latam/ARG/Imports/Service imports (BoP, current US$)", - "World/Europe/AUT/Imports/Service imports (BoP, current US$)", - "World/Persian Gulf/AZE/Imports/Service imports (BoP, current US$)", - "World/Asia/BGD/Imports/Service imports (BoP, current US$)", - "World/Latam/BRA/Imports/Service imports (BoP, current US$)", - "World/Latam/CHL/Imports/Service imports (BoP, current US$)", - "World/Pair/CHN/Imports/Service imports (BoP, current US$)", - "World/South Africa/CMR/Imports/Service imports (BoP, current US$)", - "World/Latam/COL/Imports/Service imports (BoP, current US$)", - "World/Latam/CRI/Imports/Service imports (BoP, current US$)", - "World/Europe/DEU/Imports/Service imports (BoP, current US$)", - "World/North Africa/DZA/Imports/Service imports (BoP, current US$)", - "World/North Africa/EGY/Imports/Service imports (BoP, current US$)", - "World/Europe/ESP/Imports/Service imports (BoP, current US$)", - "World/Europe/FRA/Imports/Service imports (BoP, current US$)", - "World/Europe/GBR/Imports/Service imports (BoP, current US$)", - "World/South Africa/GHA/Imports/Service imports (BoP, current US$)", - "World/Europe/HRV/Imports/Service imports (BoP, current US$)", - "World/Asia/IDN/Imports/Service imports (BoP, current US$)", - "World/Asia/IND/Imports/Service imports (BoP, current US$)", - "World/North Africa/ISR/Imports/Service imports (BoP, current US$)", - "World/Asia/KOR/Imports/Service imports (BoP, current US$)", - "World/North Africa/MAR/Imports/Service imports (BoP, current US$)", - "World/Latam/MEX/Imports/Service imports (BoP, current US$)", - "World/South Africa/MOZ/Imports/Service imports (BoP, current US$)", - "World/South Africa/NGA/Imports/Service imports (BoP, current US$)", - "World/Europe/NLD/Imports/Service imports (BoP, current US$)", - "World/Persian Gulf/OMN/Imports/Service imports (BoP, current US$)", - "World/Latam/PAN/Imports/Service imports (BoP, current US$)", - "World/Latam/PER/Imports/Service imports (BoP, current US$)", - "World/Asia/PHL/Imports/Service imports (BoP, current US$)", - "World/Europe/POL/Imports/Service imports (BoP, current US$)", - "World/Persian Gulf/QAT/Imports/Service imports (BoP, current US$)", - "World/South Africa/SEN/Imports/Service imports (BoP, current US$)", - "World/Europe/SWE/Imports/Service imports (BoP, current US$)", - "World/Asia/THA/Imports/Service imports (BoP, current US$)", - "World/North Africa/TUR/Imports/Service imports (BoP, current US$)", - "World/Pair/USA/Imports/Service imports (BoP, current US$)", - "World/Asia/VNM/Imports/Service imports (BoP, current US$)", - "World/South Africa/ZAF/Imports/Service imports (BoP, current US$)", - "World/Persian Gulf/ARE/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Europe/AUT/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/BGD/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/BRA/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/CHL/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Pair/CHN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/COL/Mortality/Suicide mortality rate (per 100,000 population)", - "World/North Africa/DZA/Mortality/Suicide mortality rate (per 100,000 population)", - "World/North Africa/EGY/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/IDN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/IND/Mortality/Suicide mortality rate (per 100,000 population)", - "World/North Africa/MAR/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/MEX/Mortality/Suicide mortality rate (per 100,000 population)", - "World/South Africa/NGA/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/PAN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/PHL/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Europe/POL/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Persian Gulf/QAT/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Persian Gulf/SAU/Mortality/Suicide mortality rate (per 100,000 population)", - "World/South Africa/SEN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/North Africa/TUR/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Pair/USA/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/VEN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/VNM/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Persian Gulf/YEM/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/ARG/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/AUT/Taxes/Taxes less subsidies on products (current US$)", - "World/Persian Gulf/AZE/Taxes/Taxes less subsidies on products (current US$)", - "World/Asia/BGD/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/BRA/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/CHL/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/CMR/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/COL/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/CRI/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/DEU/Taxes/Taxes less subsidies on products (current US$)", - "World/North Africa/DZA/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/ESP/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/FRA/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/GBR/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/GHA/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/GRC/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/HRV/Taxes/Taxes less subsidies on products (current US$)", - "World/Asia/IND/Taxes/Taxes less subsidies on products (current US$)", - "World/North Africa/ISR/Taxes/Taxes less subsidies on products (current US$)", - "World/Asia/KOR/Taxes/Taxes less subsidies on products (current US$)", - "World/North Africa/MAR/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/MEX/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/MOZ/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/NGA/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/NLD/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/PAN/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/PER/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/POL/Taxes/Taxes less subsidies on products (current US$)", - "World/Persian Gulf/SAU/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/SEN/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/SWE/Taxes/Taxes less subsidies on products (current US$)", - "World/North Africa/TUR/Taxes/Taxes less subsidies on products (current US$)", - "World/Pair/USA/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/VEN/Taxes/Taxes less subsidies on products (current US$)", - "World/Asia/VNM/Taxes/Taxes less subsidies on products (current US$)", - "World/Persian Gulf/YEM/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/ZAF/Taxes/Taxes less subsidies on products (current US$)", - "World/Persian Gulf/AZE/Economy/Taxes on international trade (% of revenue)", - "World/Latam/CHL/Economy/Taxes on international trade (% of revenue)", - "World/Pair/CHN/Economy/Taxes on international trade (% of revenue)", - "World/South Africa/CMR/Economy/Taxes on international trade (% of revenue)", - "World/Latam/COL/Economy/Taxes on international trade (% of revenue)", - "World/North Africa/EGY/Economy/Taxes on international trade (% of revenue)", - "World/Europe/ESP/Economy/Taxes on international trade (% of revenue)", - "World/South Africa/GHA/Economy/Taxes on international trade (% of revenue)", - "World/Europe/HRV/Economy/Taxes on international trade (% of revenue)", - "World/Asia/IND/Economy/Taxes on international trade (% of revenue)", - "World/Asia/KOR/Economy/Taxes on international trade (% of revenue)", - "World/North Africa/MAR/Economy/Taxes on international trade (% of revenue)", - "World/Latam/MEX/Economy/Taxes on international trade (% of revenue)", - "World/Latam/PAN/Economy/Taxes on international trade (% of revenue)", - "World/Latam/PER/Economy/Taxes on international trade (% of revenue)", - "World/Europe/POL/Economy/Taxes on international trade (% of revenue)", - "World/Asia/THA/Economy/Taxes on international trade (% of revenue)", - "World/Latam/ARG/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/AUT/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Asia/BGD/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/CHL/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Pair/CHN/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/COL/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/CRI/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/DEU/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/North Africa/DZA/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/ESP/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/FRA/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/GBR/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/GRC/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/North Africa/ISR/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Asia/KOR/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/North Africa/MAR/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/MEX/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Persian Gulf/OMN/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/PER/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/POL/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/SWE/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Pair/USA/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Persian Gulf/ARE/Industry/Time required to start a business (days)", - "World/Persian Gulf/AZE/Industry/Time required to start a business (days)", - "World/Latam/CHL/Industry/Time required to start a business (days)", - "World/Pair/CHN/Industry/Time required to start a business (days)", - "World/South Africa/CMR/Industry/Time required to start a business (days)", - "World/Latam/COL/Industry/Time required to start a business (days)", - "World/Latam/CRI/Industry/Time required to start a business (days)", - "World/Europe/DEU/Industry/Time required to start a business (days)", - "World/North Africa/DZA/Industry/Time required to start a business (days)", - "World/Europe/ESP/Industry/Time required to start a business (days)", - "World/Europe/FRA/Industry/Time required to start a business (days)", - "World/Europe/GBR/Industry/Time required to start a business (days)", - "World/Asia/IND/Industry/Time required to start a business (days)", - "World/Asia/KOR/Industry/Time required to start a business (days)", - "World/South Africa/LBR/Industry/Time required to start a business (days)", - "World/North Africa/MAR/Industry/Time required to start a business (days)", - "World/South Africa/MOZ/Industry/Time required to start a business (days)", - "World/Europe/NLD/Industry/Time required to start a business (days)", - "World/Persian Gulf/OMN/Industry/Time required to start a business (days)", - "World/Latam/PAN/Industry/Time required to start a business (days)", - "World/Latam/PER/Industry/Time required to start a business (days)", - "World/Europe/POL/Industry/Time required to start a business (days)", - "World/Persian Gulf/SAU/Industry/Time required to start a business (days)", - "World/South Africa/SEN/Industry/Time required to start a business (days)", - "World/Asia/THA/Industry/Time required to start a business (days)", - "World/Latam/VEN/Industry/Time required to start a business (days)", - "World/Asia/VNM/Industry/Time required to start a business (days)", - "World/Persian Gulf/YEM/Industry/Time required to start a business (days)", - "World/South Africa/ZAF/Industry/Time required to start a business (days)", - "World/Latam/ARG/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Persian Gulf/AZE/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/BGD/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/CHL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/COL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/CRI/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/North Africa/EGY/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/GHA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Europe/GRC/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Europe/HRV/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/IDN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/IND/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/LBR/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/MEX/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/MOZ/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/NGA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/PAN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/PER/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/PHL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Europe/POL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/SEN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/THA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/North Africa/TUR/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/VEN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/VNM/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Persian Gulf/YEM/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/ZAF/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/ARG/R&D/Time to obtain an electrical connection (days)", - "World/Asia/BGD/R&D/Time to obtain an electrical connection (days)", - "World/Latam/CHL/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/CMR/R&D/Time to obtain an electrical connection (days)", - "World/Latam/COL/R&D/Time to obtain an electrical connection (days)", - "World/Latam/CRI/R&D/Time to obtain an electrical connection (days)", - "World/North Africa/EGY/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/GHA/R&D/Time to obtain an electrical connection (days)", - "World/Europe/GRC/R&D/Time to obtain an electrical connection (days)", - "World/Asia/IDN/R&D/Time to obtain an electrical connection (days)", - "World/Asia/IND/R&D/Time to obtain an electrical connection (days)", - "World/North Africa/MAR/R&D/Time to obtain an electrical connection (days)", - "World/Latam/MEX/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/MOZ/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/NGA/R&D/Time to obtain an electrical connection (days)", - "World/Latam/PAN/R&D/Time to obtain an electrical connection (days)", - "World/Latam/PER/R&D/Time to obtain an electrical connection (days)", - "World/Asia/PHL/R&D/Time to obtain an electrical connection (days)", - "World/Europe/POL/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/SEN/R&D/Time to obtain an electrical connection (days)", - "World/North Africa/TUR/R&D/Time to obtain an electrical connection (days)", - "World/Latam/VEN/R&D/Time to obtain an electrical connection (days)", - "World/Asia/VNM/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/ZAF/R&D/Time to obtain an electrical connection (days)", - "World/Persian Gulf/ARE/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/ARG/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/AUT/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/AZE/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/BGD/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/BRA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/CHL/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Pair/CHN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/CRI/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/North Africa/EGY/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/GBR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/South Africa/GHA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/HRV/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/IND/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/North Africa/ISR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/KOR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/North Africa/MAR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/MEX/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/South Africa/MOZ/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/South Africa/NGA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/NLD/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/OMN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/PAN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/POL/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/QAT/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/THA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Pair/USA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/VEN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/VNM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/YEM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/ARE/Industry/Total fisheries production (metric tons)", - "World/Persian Gulf/AZE/Industry/Total fisheries production (metric tons)", - "World/Asia/BGD/Industry/Total fisheries production (metric tons)", - "World/Latam/BRA/Industry/Total fisheries production (metric tons)", - "World/Latam/CHL/Industry/Total fisheries production (metric tons)", - "World/Pair/CHN/Industry/Total fisheries production (metric tons)", - "World/South Africa/CMR/Industry/Total fisheries production (metric tons)", - "World/Latam/CRI/Industry/Total fisheries production (metric tons)", - "World/North Africa/EGY/Industry/Total fisheries production (metric tons)", - "World/Europe/HRV/Industry/Total fisheries production (metric tons)", - "World/Asia/IDN/Industry/Total fisheries production (metric tons)", - "World/Asia/IND/Industry/Total fisheries production (metric tons)", - "World/North Africa/ISR/Industry/Total fisheries production (metric tons)", - "World/North Africa/MAR/Industry/Total fisheries production (metric tons)", - "World/Latam/MEX/Industry/Total fisheries production (metric tons)", - "World/South Africa/MOZ/Industry/Total fisheries production (metric tons)", - "World/South Africa/NGA/Industry/Total fisheries production (metric tons)", - "World/Persian Gulf/OMN/Industry/Total fisheries production (metric tons)", - "World/Asia/PHL/Industry/Total fisheries production (metric tons)", - "World/Europe/POL/Industry/Total fisheries production (metric tons)", - "World/Persian Gulf/SAU/Industry/Total fisheries production (metric tons)", - "World/Asia/THA/Industry/Total fisheries production (metric tons)", - "World/Asia/VNM/Industry/Total fisheries production (metric tons)", - "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/BGD/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Latam/CHL/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Pair/CHN/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Latam/CRI/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/DZA/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/EGY/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Europe/GBR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Europe/HRV/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/IND/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/IRQ/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/ISR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/KOR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/MAR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Latam/MEX/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Europe/NLD/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Latam/PAN/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/PHL/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Europe/SWE/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/THA/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/TUR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Pair/USA/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/VNM/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/YEM/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/BGD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/BRA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/CHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Pair/CHN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/CMR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/COL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/CRI/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/DEU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/DZA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/EGY/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/GBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/GHA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/GRC/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/IDN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/IND/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/ISR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/KOR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/LBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/MAR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/MEX/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/NGA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/NLD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/PAN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/PER/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/PHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/SAU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/SEN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/SWE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/THA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/TUR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/VNM/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/ARE/Economy/Total reserves (includes gold, current US$)", - "World/Asia/BGD/Economy/Total reserves (includes gold, current US$)", - "World/Latam/BRA/Economy/Total reserves (includes gold, current US$)", - "World/Latam/CHL/Economy/Total reserves (includes gold, current US$)", - "World/Pair/CHN/Economy/Total reserves (includes gold, current US$)", - "World/Latam/COL/Economy/Total reserves (includes gold, current US$)", - "World/Latam/CRI/Economy/Total reserves (includes gold, current US$)", - "World/North Africa/DZA/Economy/Total reserves (includes gold, current US$)", - "World/Europe/ESP/Economy/Total reserves (includes gold, current US$)", - "World/Europe/FRA/Economy/Total reserves (includes gold, current US$)", - "World/Europe/GBR/Economy/Total reserves (includes gold, current US$)", - "World/South Africa/GHA/Economy/Total reserves (includes gold, current US$)", - "World/Asia/IDN/Economy/Total reserves (includes gold, current US$)", - "World/Asia/IND/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/IRQ/Economy/Total reserves (includes gold, current US$)", - "World/North Africa/ISR/Economy/Total reserves (includes gold, current US$)", - "World/Asia/KOR/Economy/Total reserves (includes gold, current US$)", - "World/South Africa/LBR/Economy/Total reserves (includes gold, current US$)", - "World/North Africa/MAR/Economy/Total reserves (includes gold, current US$)", - "World/Latam/MEX/Economy/Total reserves (includes gold, current US$)", - "World/South Africa/MOZ/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/OMN/Economy/Total reserves (includes gold, current US$)", - "World/Latam/PAN/Economy/Total reserves (includes gold, current US$)", - "World/Latam/PER/Economy/Total reserves (includes gold, current US$)", - "World/Asia/PHL/Economy/Total reserves (includes gold, current US$)", - "World/Europe/POL/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/QAT/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/SAU/Economy/Total reserves (includes gold, current US$)", - "World/Europe/SWE/Economy/Total reserves (includes gold, current US$)", - "World/Asia/THA/Economy/Total reserves (includes gold, current US$)", - "World/North Africa/TUR/Economy/Total reserves (includes gold, current US$)", - "World/Pair/USA/Economy/Total reserves (includes gold, current US$)", - "World/Latam/VEN/Economy/Total reserves (includes gold, current US$)", - "World/Asia/VNM/Economy/Total reserves (includes gold, current US$)", - "World/South Africa/ZAF/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/ARE/Economy/Total reserves minus gold (current US$)", - "World/Asia/BGD/Economy/Total reserves minus gold (current US$)", - "World/Latam/BRA/Economy/Total reserves minus gold (current US$)", - "World/Latam/CHL/Economy/Total reserves minus gold (current US$)", - "World/Pair/CHN/Economy/Total reserves minus gold (current US$)", - "World/Latam/COL/Economy/Total reserves minus gold (current US$)", - "World/Latam/CRI/Economy/Total reserves minus gold (current US$)", - "World/North Africa/DZA/Economy/Total reserves minus gold (current US$)", - "World/Europe/FRA/Economy/Total reserves minus gold (current US$)", - "World/Europe/GBR/Economy/Total reserves minus gold (current US$)", - "World/South Africa/GHA/Economy/Total reserves minus gold (current US$)", - "World/Asia/IDN/Economy/Total reserves minus gold (current US$)", - "World/Asia/IND/Economy/Total reserves minus gold (current US$)", - "World/Persian Gulf/IRQ/Economy/Total reserves minus gold (current US$)", - "World/North Africa/ISR/Economy/Total reserves minus gold (current US$)", - "World/Asia/KOR/Economy/Total reserves minus gold (current US$)", - "World/South Africa/LBR/Economy/Total reserves minus gold (current US$)", - "World/North Africa/MAR/Economy/Total reserves minus gold (current US$)", - "World/Latam/MEX/Economy/Total reserves minus gold (current US$)", - "World/South Africa/MOZ/Economy/Total reserves minus gold (current US$)", - "World/Persian Gulf/OMN/Economy/Total reserves minus gold (current US$)", - "World/Latam/PAN/Economy/Total reserves minus gold (current US$)", - "World/Latam/PER/Economy/Total reserves minus gold (current US$)", - "World/Asia/PHL/Economy/Total reserves minus gold (current US$)", - "World/Europe/POL/Economy/Total reserves minus gold (current US$)", - "World/Persian Gulf/QAT/Economy/Total reserves minus gold (current US$)", - "World/Persian Gulf/SAU/Economy/Total reserves minus gold (current US$)", - "World/Europe/SWE/Economy/Total reserves minus gold (current US$)", - "World/Asia/THA/Economy/Total reserves minus gold (current US$)", - "World/North Africa/TUR/Economy/Total reserves minus gold (current US$)", - "World/Latam/VEN/Economy/Total reserves minus gold (current US$)", - "World/Asia/VNM/Economy/Total reserves minus gold (current US$)", - "World/South Africa/ZAF/Economy/Total reserves minus gold (current US$)", - "World/Latam/ARG/Health/UHC service coverage index", - "World/Europe/AUT/Health/UHC service coverage index", - "World/Persian Gulf/AZE/Health/UHC service coverage index", - "World/Asia/BGD/Health/UHC service coverage index", - "World/Latam/BRA/Health/UHC service coverage index", - "World/Latam/CHL/Health/UHC service coverage index", - "World/Pair/CHN/Health/UHC service coverage index", - "World/South Africa/CMR/Health/UHC service coverage index", - "World/Latam/COL/Health/UHC service coverage index", - "World/Latam/CRI/Health/UHC service coverage index", - "World/Europe/DEU/Health/UHC service coverage index", - "World/North Africa/DZA/Health/UHC service coverage index", - "World/North Africa/EGY/Health/UHC service coverage index", - "World/Europe/ESP/Health/UHC service coverage index", - "World/Europe/FRA/Health/UHC service coverage index", - "World/Europe/GBR/Health/UHC service coverage index", - "World/South Africa/GHA/Health/UHC service coverage index", - "World/Europe/GRC/Health/UHC service coverage index", - "World/Europe/HRV/Health/UHC service coverage index", - "World/Asia/IDN/Health/UHC service coverage index", - "World/Asia/IND/Health/UHC service coverage index", - "World/Persian Gulf/IRQ/Health/UHC service coverage index", - "World/North Africa/ISR/Health/UHC service coverage index", - "World/Asia/KOR/Health/UHC service coverage index", - "World/South Africa/LBR/Health/UHC service coverage index", - "World/North Africa/MAR/Health/UHC service coverage index", - "World/Latam/MEX/Health/UHC service coverage index", - "World/South Africa/MOZ/Health/UHC service coverage index", - "World/South Africa/NGA/Health/UHC service coverage index", - "World/Europe/NLD/Health/UHC service coverage index", - "World/Persian Gulf/OMN/Health/UHC service coverage index", - "World/Latam/PAN/Health/UHC service coverage index", - "World/Latam/PER/Health/UHC service coverage index", - "World/Asia/PHL/Health/UHC service coverage index", - "World/Europe/POL/Health/UHC service coverage index", - "World/Persian Gulf/QAT/Health/UHC service coverage index", - "World/South Africa/SEN/Health/UHC service coverage index", - "World/Europe/SWE/Health/UHC service coverage index", - "World/Asia/THA/Health/UHC service coverage index", - "World/North Africa/TUR/Health/UHC service coverage index", - "World/Pair/USA/Health/UHC service coverage index", - "World/Latam/VEN/Health/UHC service coverage index", - "World/Asia/VNM/Health/UHC service coverage index", - "World/Persian Gulf/YEM/Health/UHC service coverage index", - "World/South Africa/ZAF/Health/UHC service coverage index", - "World/Persian Gulf/ARE/Demography/Urban population", - "World/Latam/ARG/Demography/Urban population", - "World/Persian Gulf/AZE/Demography/Urban population", - "World/Asia/BGD/Demography/Urban population", - "World/Latam/BRA/Demography/Urban population", - "World/Latam/CHL/Demography/Urban population", - "World/Pair/CHN/Demography/Urban population", - "World/South Africa/CMR/Demography/Urban population", - "World/Latam/COL/Demography/Urban population", - "World/Latam/CRI/Demography/Urban population", - "World/North Africa/DZA/Demography/Urban population", - "World/North Africa/EGY/Demography/Urban population", - "World/Europe/ESP/Demography/Urban population", - "World/Europe/FRA/Demography/Urban population", - "World/Europe/GBR/Demography/Urban population", - "World/South Africa/GHA/Demography/Urban population", - "World/Asia/IDN/Demography/Urban population", - "World/Asia/IND/Demography/Urban population", - "World/North Africa/ISR/Demography/Urban population", - "World/Asia/KOR/Demography/Urban population", - "World/South Africa/LBR/Demography/Urban population", - "World/North Africa/MAR/Demography/Urban population", - "World/Latam/MEX/Demography/Urban population", - "World/South Africa/MOZ/Demography/Urban population", - "World/South Africa/NGA/Demography/Urban population", - "World/Europe/NLD/Demography/Urban population", - "World/Persian Gulf/OMN/Demography/Urban population", - "World/Latam/PAN/Demography/Urban population", - "World/Latam/PER/Demography/Urban population", - "World/Asia/PHL/Demography/Urban population", - "World/Europe/POL/Demography/Urban population", - "World/Persian Gulf/QAT/Demography/Urban population", - "World/Persian Gulf/SAU/Demography/Urban population", - "World/South Africa/SEN/Demography/Urban population", - "World/Asia/THA/Demography/Urban population", - "World/North Africa/TUR/Demography/Urban population", - "World/Pair/USA/Demography/Urban population", - "World/Latam/VEN/Demography/Urban population", - "World/Asia/VNM/Demography/Urban population", - "World/Persian Gulf/YEM/Demography/Urban population", - "World/South Africa/ZAF/Demography/Urban population", - "World/Persian Gulf/ARE/Demography/Urban population (% of total population)", - "World/Latam/ARG/Demography/Urban population (% of total population)", - "World/Persian Gulf/AZE/Demography/Urban population (% of total population)", - "World/Asia/BGD/Demography/Urban population (% of total population)", - "World/Latam/BRA/Demography/Urban population (% of total population)", - "World/Latam/CHL/Demography/Urban population (% of total population)", - "World/Pair/CHN/Demography/Urban population (% of total population)", - "World/South Africa/CMR/Demography/Urban population (% of total population)", - "World/Latam/COL/Demography/Urban population (% of total population)", - "World/Latam/CRI/Demography/Urban population (% of total population)", - "World/Europe/DEU/Demography/Urban population (% of total population)", - "World/North Africa/DZA/Demography/Urban population (% of total population)", - "World/Europe/ESP/Demography/Urban population (% of total population)", - "World/Europe/FRA/Demography/Urban population (% of total population)", - "World/Europe/GBR/Demography/Urban population (% of total population)", - "World/South Africa/GHA/Demography/Urban population (% of total population)", - "World/Europe/GRC/Demography/Urban population (% of total population)", - "World/Europe/HRV/Demography/Urban population (% of total population)", - "World/Asia/IDN/Demography/Urban population (% of total population)", - "World/Asia/IND/Demography/Urban population (% of total population)", - "World/Persian Gulf/IRQ/Demography/Urban population (% of total population)", - "World/North Africa/ISR/Demography/Urban population (% of total population)", - "World/South Africa/LBR/Demography/Urban population (% of total population)", - "World/North Africa/MAR/Demography/Urban population (% of total population)", - "World/Latam/MEX/Demography/Urban population (% of total population)", - "World/South Africa/MOZ/Demography/Urban population (% of total population)", - "World/South Africa/NGA/Demography/Urban population (% of total population)", - "World/Europe/NLD/Demography/Urban population (% of total population)", - "World/Persian Gulf/OMN/Demography/Urban population (% of total population)", - "World/Latam/PAN/Demography/Urban population (% of total population)", - "World/Latam/PER/Demography/Urban population (% of total population)", - "World/Europe/POL/Demography/Urban population (% of total population)", - "World/Persian Gulf/QAT/Demography/Urban population (% of total population)", - "World/Persian Gulf/SAU/Demography/Urban population (% of total population)", - "World/South Africa/SEN/Demography/Urban population (% of total population)", - "World/Asia/THA/Demography/Urban population (% of total population)", - "World/North Africa/TUR/Demography/Urban population (% of total population)", - "World/Pair/USA/Demography/Urban population (% of total population)", - "World/Latam/VEN/Demography/Urban population (% of total population)", - "World/Asia/VNM/Demography/Urban population (% of total population)", - "World/Persian Gulf/YEM/Demography/Urban population (% of total population)", - "World/South Africa/ZAF/Demography/Urban population (% of total population)", - "World/Europe/AUT/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Persian Gulf/AZE/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/BGD/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/CHL/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Pair/CHN/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/COL/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/CRI/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/DEU/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/DZA/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/EGY/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/GBR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/South Africa/GHA/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/HRV/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/IND/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/ISR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/KOR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/MAR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/MEX/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/South Africa/MOZ/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/South Africa/NGA/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/NLD/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/PAN/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/PER/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/PHL/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/POL/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Persian Gulf/SAU/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/SWE/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/THA/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/TUR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/VEN/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/VNM/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Persian Gulf/YEM/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/South Africa/ZAF/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Persian Gulf/ARE/A&D", - "World/Latam/ARG/A&D", - "World/Europe/AUT/A&D", - "World/Persian Gulf/AZE/A&D", - "World/Asia/BGD/A&D", - "World/Latam/BRA/A&D", - "World/Latam/CHL/A&D", - "World/Pair/CHN/A&D", - "World/Latam/CRI/A&D", - "World/North Africa/EGY/A&D", - "World/Europe/GBR/A&D", - "World/South Africa/GHA/A&D", - "World/Europe/HRV/A&D", - "World/Asia/IND/A&D", - "World/North Africa/ISR/A&D", - "World/Asia/KOR/A&D", - "World/North Africa/MAR/A&D", - "World/Latam/MEX/A&D", - "World/South Africa/MOZ/A&D", - "World/South Africa/NGA/A&D", - "World/Europe/NLD/A&D", - "World/Persian Gulf/OMN/A&D", - "World/Latam/PAN/A&D", - "World/Europe/POL/A&D", - "World/Persian Gulf/QAT/A&D", - "World/Asia/THA/A&D", - "World/Pair/USA/A&D", - "World/Latam/VEN/A&D", - "World/Asia/VNM/A&D", - "World/Persian Gulf/YEM/A&D", - "World/Persian Gulf/ARE/Agriculture", - "World/Latam/ARG/Agriculture", - "World/Europe/AUT/Agriculture", - "World/Persian Gulf/AZE/Agriculture", - "World/Asia/BGD/Agriculture", - "World/Latam/BRA/Agriculture", - "World/Latam/CHL/Agriculture", - "World/Pair/CHN/Agriculture", - "World/South Africa/CMR/Agriculture", - "World/Latam/COL/Agriculture", - "World/Latam/CRI/Agriculture", - "World/Europe/DEU/Agriculture", - "World/North Africa/DZA/Agriculture", - "World/North Africa/EGY/Agriculture", - "World/Europe/ESP/Agriculture", - "World/Europe/FRA/Agriculture", - "World/South Africa/GHA/Agriculture", - "World/Europe/GRC/Agriculture", - "World/Europe/HRV/Agriculture", - "World/Asia/IDN/Agriculture", - "World/Asia/IND/Agriculture", - "World/North Africa/ISR/Agriculture", - "World/Asia/KOR/Agriculture", - "World/South Africa/LBR/Agriculture", - "World/North Africa/MAR/Agriculture", - "World/Latam/MEX/Agriculture", - "World/South Africa/MOZ/Agriculture", - "World/South Africa/NGA/Agriculture", - "World/Europe/NLD/Agriculture", - "World/Persian Gulf/OMN/Agriculture", - "World/Latam/PAN/Agriculture", - "World/Latam/PER/Agriculture", - "World/Asia/PHL/Agriculture", - "World/Europe/POL/Agriculture", - "World/Persian Gulf/QAT/Agriculture", - "World/Persian Gulf/SAU/Agriculture", - "World/South Africa/SEN/Agriculture", - "World/Europe/SWE/Agriculture", - "World/Asia/THA/Agriculture", - "World/North Africa/TUR/Agriculture", - "World/Pair/USA/Agriculture", - "World/Latam/VEN/Agriculture", - "World/Asia/VNM/Agriculture", - "World/Persian Gulf/YEM/Agriculture", - "World/South Africa/ZAF/Agriculture", - "World/Persian Gulf/ARE/Demography", - "World/Latam/ARG/Demography", - "World/Europe/AUT/Demography", - "World/Persian Gulf/AZE/Demography", - "World/Asia/BGD/Demography", - "World/Latam/BRA/Demography", - "World/Latam/CHL/Demography", - "World/Pair/CHN/Demography", - "World/South Africa/CMR/Demography", - "World/Latam/COL/Demography", - "World/Latam/CRI/Demography", - "World/Europe/DEU/Demography", - "World/North Africa/DZA/Demography", - "World/North Africa/EGY/Demography", - "World/Europe/ESP/Demography", - "World/Europe/FRA/Demography", - "World/Europe/GBR/Demography", - "World/South Africa/GHA/Demography", - "World/Europe/GRC/Demography", - "World/Europe/HRV/Demography", - "World/Asia/IDN/Demography", - "World/Asia/IND/Demography", - "World/Persian Gulf/IRQ/Demography", - "World/North Africa/ISR/Demography", - "World/Asia/KOR/Demography", - "World/South Africa/LBR/Demography", - "World/North Africa/MAR/Demography", - "World/Latam/MEX/Demography", - "World/South Africa/MOZ/Demography", - "World/South Africa/NGA/Demography", - "World/Europe/NLD/Demography", - "World/Persian Gulf/OMN/Demography", - "World/Latam/PAN/Demography", - "World/Latam/PER/Demography", - "World/Asia/PHL/Demography", - "World/Europe/POL/Demography", - "World/Persian Gulf/QAT/Demography", - "World/Persian Gulf/SAU/Demography", - "World/South Africa/SEN/Demography", - "World/Europe/SWE/Demography", - "World/Asia/THA/Demography", - "World/North Africa/TUR/Demography", - "World/Pair/USA/Demography", - "World/Latam/VEN/Demography", - "World/Asia/VNM/Demography", - "World/Persian Gulf/YEM/Demography", - "World/South Africa/ZAF/Demography", - "World/Latam/ARG/Demoraphy", - "World/Asia/BGD/Demoraphy", - "World/Latam/BRA/Demoraphy", - "World/South Africa/CMR/Demoraphy", - "World/Latam/COL/Demoraphy", - "World/Latam/CRI/Demoraphy", - "World/North Africa/DZA/Demoraphy", - "World/North Africa/EGY/Demoraphy", - "World/South Africa/GHA/Demoraphy", - "World/Asia/IND/Demoraphy", - "World/South Africa/LBR/Demoraphy", - "World/North Africa/MAR/Demoraphy", - "World/Latam/MEX/Demoraphy", - "World/South Africa/MOZ/Demoraphy", - "World/South Africa/NGA/Demoraphy", - "World/Latam/PAN/Demoraphy", - "World/Latam/PER/Demoraphy", - "World/Asia/PHL/Demoraphy", - "World/North Africa/TUR/Demoraphy", - "World/Latam/VEN/Demoraphy", - "World/Asia/VNM/Demoraphy", - "World/Persian Gulf/ARE/Economy", - "World/Latam/ARG/Economy", - "World/Europe/AUT/Economy", - "World/Persian Gulf/AZE/Economy", - "World/Asia/BGD/Economy", - "World/Latam/BRA/Economy", - "World/Latam/CHL/Economy", - "World/Pair/CHN/Economy", - "World/South Africa/CMR/Economy", - "World/Latam/COL/Economy", - "World/Latam/CRI/Economy", - "World/Europe/DEU/Economy", - 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"Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - 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"Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - 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"Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - 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"Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - 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"Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - 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"World/Latam/CRI/Economy/Adjusted savings: net national savings (current US$)", - "World/Europe/DEU/Economy/Adjusted savings: net national savings (current US$)", - "World/North Africa/DZA/Economy/Adjusted savings: net national savings (current US$)", - "World/Europe/GRC/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/IND/Economy/Adjusted savings: net national savings (current US$)", - "World/North Africa/ISR/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/KOR/Economy/Adjusted savings: net national savings (current US$)", - "World/South Africa/LBR/Economy/Adjusted savings: net national savings (current US$)", - "World/North Africa/MAR/Economy/Adjusted savings: net national savings (current US$)", - "World/Europe/NLD/Economy/Adjusted savings: net national savings (current US$)", - "World/Latam/PAN/Economy/Adjusted savings: net national savings (current US$)", - "World/Latam/PER/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/PHL/Economy/Adjusted savings: net national savings (current US$)", - "World/Europe/POL/Economy/Adjusted savings: net national savings (current US$)", - "World/Persian Gulf/SAU/Economy/Adjusted savings: net national savings (current US$)", - "World/South Africa/SEN/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/THA/Economy/Adjusted savings: net national savings (current US$)", - "World/North Africa/TUR/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/VNM/Economy/Adjusted savings: net national savings (current US$)", - "World/Persian Gulf/ARE/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Europe/AUT/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/BGD/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/CHL/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Pair/CHN/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/South Africa/CMR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/COL/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/CRI/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/North Africa/EGY/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Europe/FRA/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Europe/GBR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/South Africa/GHA/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Europe/GRC/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/IDN/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/IND/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/North Africa/ISR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/KOR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/North Africa/MAR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/South Africa/MOZ/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/South Africa/NGA/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/PAN/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/PHL/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Persian Gulf/QAT/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Persian Gulf/SAU/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/THA/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/North Africa/TUR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/VEN/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/VNM/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Persian Gulf/YEM/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Persian Gulf/ARE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/ARG/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/AUT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/AZE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/BGD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/BRA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/CHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Pair/CHN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/CMR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/COL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/CRI/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/DEU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/North Africa/EGY/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/GBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/GHA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/GRC/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/HRV/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/IND/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/North Africa/ISR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/KOR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/LBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/North Africa/MAR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/MEX/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/MOZ/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/NGA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/NLD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/OMN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/PAN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/PER/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/PHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/POL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/QAT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/SAU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/SEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/SWE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/North Africa/TUR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Pair/USA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/VEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/VNM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/YEM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/AUT/Agriculture/Agricultural land (% of land area)", - "World/Persian Gulf/AZE/Agriculture/Agricultural land (% of land area)", - "World/Asia/BGD/Agriculture/Agricultural land (% of land area)", - "World/Latam/BRA/Agriculture/Agricultural land (% of land area)", - "World/Pair/CHN/Agriculture/Agricultural land (% of land area)", - "World/South Africa/CMR/Agriculture/Agricultural land (% of land area)", - "World/Latam/CRI/Agriculture/Agricultural land (% of land area)", - "World/Europe/DEU/Agriculture/Agricultural land (% of land area)", - "World/North Africa/DZA/Agriculture/Agricultural land (% of land area)", - "World/North Africa/EGY/Agriculture/Agricultural land (% of land area)", - "World/Europe/ESP/Agriculture/Agricultural land (% of land area)", - "World/Europe/FRA/Agriculture/Agricultural land (% of land area)", - "World/Europe/GRC/Agriculture/Agricultural land (% of land area)", - "World/Asia/IDN/Agriculture/Agricultural land (% of land area)", - "World/Asia/IND/Agriculture/Agricultural land (% of land area)", - "World/North Africa/ISR/Agriculture/Agricultural land (% of land area)", - "World/Asia/KOR/Agriculture/Agricultural land (% of land area)", - "World/South Africa/LBR/Agriculture/Agricultural land (% of land area)", - "World/South Africa/MOZ/Agriculture/Agricultural land (% of land area)", - "World/South Africa/NGA/Agriculture/Agricultural land (% of land area)", - "World/Europe/NLD/Agriculture/Agricultural land (% of land area)", - "World/Latam/PAN/Agriculture/Agricultural land (% of land area)", - "World/Asia/PHL/Agriculture/Agricultural land (% of land area)", - "World/Europe/POL/Agriculture/Agricultural land (% of land area)", - "World/Europe/SWE/Agriculture/Agricultural land (% of land area)", - "World/North Africa/TUR/Agriculture/Agricultural land (% of land area)", - "World/Pair/USA/Agriculture/Agricultural land (% of land area)", - "World/Latam/VEN/Agriculture/Agricultural land (% of land area)", - "World/Asia/VNM/Agriculture/Agricultural land (% of land area)", - "World/Persian Gulf/YEM/Agriculture/Agricultural land (% of land area)", - "World/Persian Gulf/ARE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/ARG/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/AUT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/AZE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/BGD/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/CHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Pair/CHN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/CRI/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/DZA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/FRA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/GHA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/HRV/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IDN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IND/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/ISR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/LBR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/MAR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/MEX/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/NGA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/OMN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/PER/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/PHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/QAT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/SAU/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/SWE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/TUR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/VNM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/YEM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/ARE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/AZE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/BGD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/BRA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/CRI/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/DZA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/GHA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IDN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IND/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/ISR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/LBR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/MAR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/NGA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/NLD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/OMN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/PER/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/PHL/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/QAT/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Pair/USA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/VNM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/YEM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/ARG/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Europe/AUT/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/BRA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/CHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/COL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/North Africa/DZA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/North Africa/EGY/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Europe/GRC/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Europe/HRV/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/IDN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/KOR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/North Africa/MAR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/MEX/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/PHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Europe/POL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/THA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/North Africa/TUR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Pair/USA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/VEN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/VNM/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/BGD/Agriculture/Aquaculture production (metric tons)", - "World/Latam/BRA/Agriculture/Aquaculture production (metric tons)", - "World/Latam/CHL/Agriculture/Aquaculture production (metric tons)", - "World/Pair/CHN/Agriculture/Aquaculture production (metric tons)", - "World/South Africa/CMR/Agriculture/Aquaculture production (metric tons)", - "World/Latam/COL/Agriculture/Aquaculture production (metric tons)", - "World/Latam/CRI/Agriculture/Aquaculture production (metric tons)", - "World/North Africa/EGY/Agriculture/Aquaculture production (metric tons)", - "World/Europe/FRA/Agriculture/Aquaculture production (metric tons)", - "World/South Africa/GHA/Agriculture/Aquaculture production (metric tons)", - "World/Asia/IDN/Agriculture/Aquaculture production (metric tons)", - "World/Asia/IND/Agriculture/Aquaculture production (metric tons)", - "World/Asia/KOR/Agriculture/Aquaculture production (metric tons)", - "World/Latam/MEX/Agriculture/Aquaculture production (metric tons)", - "World/South Africa/NGA/Agriculture/Aquaculture production (metric tons)", - "World/Latam/PER/Agriculture/Aquaculture production (metric tons)", - "World/Asia/PHL/Agriculture/Aquaculture production (metric tons)", - "World/Europe/POL/Agriculture/Aquaculture production (metric tons)", - "World/Persian Gulf/SAU/Agriculture/Aquaculture production (metric tons)", - "World/North Africa/TUR/Agriculture/Aquaculture production (metric tons)", - "World/Pair/USA/Agriculture/Aquaculture production (metric tons)", - "World/Latam/VEN/Agriculture/Aquaculture production (metric tons)", - "World/Asia/VNM/Agriculture/Aquaculture production (metric tons)", - "World/South Africa/ZAF/Agriculture/Aquaculture production (metric tons)", - "World/Europe/AUT/Agriculture/Arable land (% of land area)", - "World/Persian Gulf/AZE/Agriculture/Arable land (% of land area)", - "World/Asia/BGD/Agriculture/Arable land (% of land area)", - "World/Latam/BRA/Agriculture/Arable land (% of land area)", - "World/Latam/CHL/Agriculture/Arable land (% of land area)", - "World/Pair/CHN/Agriculture/Arable land (% of land area)", - "World/South Africa/CMR/Agriculture/Arable land (% of land area)", - "World/Latam/COL/Agriculture/Arable land (% of land area)", - "World/Latam/CRI/Agriculture/Arable land (% of land area)", - "World/South Africa/GHA/Agriculture/Arable land (% of land area)", - "World/Europe/GRC/Agriculture/Arable land (% of land area)", - "World/Asia/IDN/Agriculture/Arable land (% of land area)", - "World/Asia/IND/Agriculture/Arable land (% of land area)", - "World/Asia/KOR/Agriculture/Arable land (% of land area)", - "World/South Africa/LBR/Agriculture/Arable land (% of land area)", - "World/North Africa/MAR/Agriculture/Arable land (% of land area)", - "World/South Africa/MOZ/Agriculture/Arable land (% of land area)", - "World/Latam/PAN/Agriculture/Arable land (% of land area)", - "World/Europe/POL/Agriculture/Arable land (% of land area)", - "World/Europe/SWE/Agriculture/Arable land (% of land area)", - "World/North Africa/TUR/Agriculture/Arable land (% of land area)", - "World/Pair/USA/Agriculture/Arable land (% of land area)", - "World/Persian Gulf/YEM/Agriculture/Arable land (% of land area)", - "World/Persian Gulf/ARE/Agriculture/Arable land (hectares per person)", - "World/Latam/ARG/Agriculture/Arable land (hectares per person)", - "World/Europe/AUT/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/AZE/Agriculture/Arable land (hectares per person)", - "World/Asia/BGD/Agriculture/Arable land (hectares per person)", - "World/Latam/CHL/Agriculture/Arable land (hectares per person)", - "World/Pair/CHN/Agriculture/Arable land (hectares per person)", - "World/South Africa/CMR/Agriculture/Arable land (hectares per person)", - "World/Latam/COL/Agriculture/Arable land (hectares per person)", - "World/North Africa/DZA/Agriculture/Arable land (hectares per person)", - "World/North Africa/EGY/Agriculture/Arable land (hectares per person)", - "World/Europe/ESP/Agriculture/Arable land (hectares per person)", - "World/Europe/FRA/Agriculture/Arable land (hectares per person)", - "World/South Africa/GHA/Agriculture/Arable land (hectares per person)", - "World/Europe/GRC/Agriculture/Arable land (hectares per person)", - "World/Asia/IND/Agriculture/Arable land (hectares per person)", - "World/Asia/KOR/Agriculture/Arable land (hectares per person)", - "World/South Africa/LBR/Agriculture/Arable land (hectares per person)", - "World/North Africa/MAR/Agriculture/Arable land (hectares per person)", - "World/Latam/MEX/Agriculture/Arable land (hectares per person)", - "World/South Africa/MOZ/Agriculture/Arable land (hectares per person)", - "World/South Africa/NGA/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/OMN/Agriculture/Arable land (hectares per person)", - "World/Latam/PAN/Agriculture/Arable land (hectares per person)", - "World/Latam/PER/Agriculture/Arable land (hectares per person)", - "World/Asia/PHL/Agriculture/Arable land (hectares per person)", - "World/Europe/POL/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/QAT/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/SAU/Agriculture/Arable land (hectares per person)", - "World/Europe/SWE/Agriculture/Arable land (hectares per person)", - "World/North Africa/TUR/Agriculture/Arable land (hectares per person)", - "World/Pair/USA/Agriculture/Arable land (hectares per person)", - "World/Latam/VEN/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/YEM/Agriculture/Arable land (hectares per person)", - "World/South Africa/ZAF/Agriculture/Arable land (hectares per person)", - "World/Europe/AUT/Agriculture/Arable land (hectares)", - "World/Persian Gulf/AZE/Agriculture/Arable land (hectares)", - "World/Asia/BGD/Agriculture/Arable land (hectares)", - "World/Latam/BRA/Agriculture/Arable land (hectares)", - "World/Latam/CHL/Agriculture/Arable land (hectares)", - "World/Pair/CHN/Agriculture/Arable land (hectares)", - "World/South Africa/CMR/Agriculture/Arable land (hectares)", - "World/Latam/COL/Agriculture/Arable land (hectares)", - "World/Latam/CRI/Agriculture/Arable land (hectares)", - "World/South Africa/GHA/Agriculture/Arable land (hectares)", - "World/Europe/GRC/Agriculture/Arable land (hectares)", - "World/Asia/IDN/Agriculture/Arable land (hectares)", - "World/Asia/IND/Agriculture/Arable land (hectares)", - "World/Asia/KOR/Agriculture/Arable land (hectares)", - "World/South Africa/LBR/Agriculture/Arable land (hectares)", - "World/North Africa/MAR/Agriculture/Arable land (hectares)", - "World/South Africa/MOZ/Agriculture/Arable land (hectares)", - "World/Latam/PAN/Agriculture/Arable land (hectares)", - "World/Europe/POL/Agriculture/Arable land (hectares)", - "World/Europe/SWE/Agriculture/Arable land (hectares)", - "World/North Africa/TUR/Agriculture/Arable land (hectares)", - "World/Pair/USA/Agriculture/Arable land (hectares)", - "World/Persian Gulf/YEM/Agriculture/Arable land (hectares)", - "World/Persian Gulf/ARE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/ARG/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Persian Gulf/AZE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/BGD/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Pair/CHN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/CMR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/COL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/CRI/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Europe/DEU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/DZA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/EGY/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Europe/FRA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/GHA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Europe/HRV/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/IDN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/IND/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/ISR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/LBR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/MAR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/MEX/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/MOZ/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/NGA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/PAN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/PER/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/PHL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Europe/POL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Persian Gulf/SAU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/SEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/THA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/TUR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Pair/USA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/VEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/VNM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Persian Gulf/YEM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/ZAF/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Persian Gulf/ARE/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/BGD/Mortality/Births attended by skilled health staff (% of total)", - "World/Pair/CHN/Mortality/Births attended by skilled health staff (% of total)", - "World/Latam/CRI/Mortality/Births attended by skilled health staff (% of total)", - "World/North Africa/DZA/Mortality/Births attended by skilled health staff (% of total)", - "World/North Africa/EGY/Mortality/Births attended by skilled health staff (% of total)", - "World/South Africa/GHA/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/IDN/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/IND/Mortality/Births attended by skilled health staff (% of total)", - "World/North Africa/MAR/Mortality/Births attended by skilled health staff (% of total)", - "World/Latam/MEX/Mortality/Births attended by skilled health staff (% of total)", - "World/South Africa/MOZ/Mortality/Births attended by skilled health staff (% of total)", - "World/Latam/PER/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/PHL/Mortality/Births attended by skilled health staff (% of total)", - "World/Persian Gulf/SAU/Mortality/Births attended by skilled health staff (% of total)", - "World/North Africa/TUR/Mortality/Births attended by skilled health staff (% of total)", - "World/Pair/USA/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/VNM/Mortality/Births attended by skilled health staff (% of total)", - "World/Persian Gulf/YEM/Mortality/Births attended by skilled health staff (% of total)", - "World/South Africa/ZAF/Mortality/Births attended by skilled health staff (% of total)", - "World/Persian Gulf/ARE/Economy/Broad money (% of GDP)", - "World/Latam/ARG/Economy/Broad money (% of GDP)", - "World/Persian Gulf/AZE/Economy/Broad money (% of GDP)", - "World/Asia/BGD/Economy/Broad money (% of GDP)", - "World/Latam/BRA/Economy/Broad money (% of GDP)", - "World/Pair/CHN/Economy/Broad money (% of GDP)", - "World/South Africa/CMR/Economy/Broad money (% of GDP)", - "World/North Africa/DZA/Economy/Broad money (% of GDP)", - "World/Europe/GBR/Economy/Broad money (% of GDP)", - "World/Europe/HRV/Economy/Broad money (% of GDP)", - "World/Asia/IND/Economy/Broad money (% of GDP)", - "World/North Africa/ISR/Economy/Broad money (% of GDP)", - "World/Asia/KOR/Economy/Broad money (% of GDP)", - "World/North Africa/MAR/Economy/Broad money (% of GDP)", - "World/Latam/MEX/Economy/Broad money (% of GDP)", - "World/South Africa/MOZ/Economy/Broad money (% of GDP)", - "World/Latam/PER/Economy/Broad money (% of GDP)", - "World/Asia/PHL/Economy/Broad money (% of GDP)", - "World/Europe/POL/Economy/Broad money (% of GDP)", - "World/Persian Gulf/QAT/Economy/Broad money (% of GDP)", - "World/South Africa/SEN/Economy/Broad money (% of GDP)", - "World/North Africa/TUR/Economy/Broad money (% of GDP)", - "World/Pair/USA/Economy/Broad money (% of GDP)", - "World/Latam/VEN/Economy/Broad money (% of GDP)", - "World/Asia/VNM/Economy/Broad money (% of GDP)", - "World/Europe/AUT/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/BGD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Pair/CHN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Latam/CRI/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/DEU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/North Africa/EGY/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/FRA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/GBR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/GRC/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/HRV/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/IND/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/North Africa/ISR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/KOR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Latam/MEX/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/South Africa/NGA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/NLD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Latam/PAN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/PHL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/POL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/SWE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/THA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Pair/USA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/VNM/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/AUT/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/BGD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Pair/CHN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Latam/CRI/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/DEU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/North Africa/EGY/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/FRA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/GBR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/GRC/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/HRV/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/IND/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/North Africa/ISR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/KOR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Latam/MEX/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/South Africa/NGA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/NLD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Latam/PAN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/PHL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/POL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/SWE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/THA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Pair/USA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/VNM/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Latam/ARG/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/AUT/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/BGD/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/BRA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/CHL/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Pair/CHN/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/COL/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/CRI/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/DEU/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/North Africa/EGY/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/ESP/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/FRA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/GBR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/GRC/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/HRV/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/IDN/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/IND/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/North Africa/ISR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/KOR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/North Africa/MAR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/MEX/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/South Africa/NGA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/NLD/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/PAN/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/PER/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/POL/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/SWE/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/THA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/North Africa/TUR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Pair/USA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/South Africa/ZAF/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Persian Gulf/ARE/Environment/CO2 emissions (kt)", - "World/Latam/ARG/Environment/CO2 emissions (kt)", - "World/Asia/BGD/Environment/CO2 emissions (kt)", - "World/Latam/BRA/Environment/CO2 emissions (kt)", - "World/Latam/CHL/Environment/CO2 emissions (kt)", - "World/Pair/CHN/Environment/CO2 emissions (kt)", - "World/Latam/COL/Environment/CO2 emissions (kt)", - "World/Latam/CRI/Environment/CO2 emissions (kt)", - "World/Europe/DEU/Environment/CO2 emissions (kt)", - "World/North Africa/DZA/Environment/CO2 emissions (kt)", - "World/North Africa/EGY/Environment/CO2 emissions (kt)", - "World/Europe/GBR/Environment/CO2 emissions (kt)", - "World/South Africa/GHA/Environment/CO2 emissions (kt)", - "World/Asia/IDN/Environment/CO2 emissions (kt)", - "World/Asia/IND/Environment/CO2 emissions (kt)", - "World/Asia/KOR/Environment/CO2 emissions (kt)", - "World/South Africa/LBR/Environment/CO2 emissions (kt)", - "World/North Africa/MAR/Environment/CO2 emissions (kt)", - "World/Latam/MEX/Environment/CO2 emissions (kt)", - "World/South Africa/MOZ/Environment/CO2 emissions (kt)", - "World/South Africa/NGA/Environment/CO2 emissions (kt)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (kt)", - "World/Latam/PAN/Environment/CO2 emissions (kt)", - "World/Latam/PER/Environment/CO2 emissions (kt)", - "World/Asia/PHL/Environment/CO2 emissions (kt)", - "World/Persian Gulf/QAT/Environment/CO2 emissions (kt)", - "World/Persian Gulf/SAU/Environment/CO2 emissions (kt)", - "World/South Africa/SEN/Environment/CO2 emissions (kt)", - "World/Europe/SWE/Environment/CO2 emissions (kt)", - "World/Asia/THA/Environment/CO2 emissions (kt)", - "World/North Africa/TUR/Environment/CO2 emissions (kt)", - "World/Asia/VNM/Environment/CO2 emissions (kt)", - "World/South Africa/ZAF/Environment/CO2 emissions (kt)", - "World/Asia/BGD/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/BRA/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/CHL/Environment/CO2 emissions (metric tons per capita)", - "World/Pair/CHN/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/CRI/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/DEU/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/DZA/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/EGY/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/GBR/Environment/CO2 emissions (metric tons per capita)", - "World/South Africa/GHA/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/GRC/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/IDN/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/IND/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/ISR/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/KOR/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/MAR/Environment/CO2 emissions (metric tons per capita)", - "World/South Africa/MOZ/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/NLD/Environment/CO2 emissions (metric tons per capita)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/PAN/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/PER/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/PHL/Environment/CO2 emissions (metric tons per capita)", - "World/Persian Gulf/SAU/Environment/CO2 emissions (metric tons per capita)", - "World/South Africa/SEN/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/SWE/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/THA/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/TUR/Environment/CO2 emissions (metric tons per capita)", - "World/Pair/USA/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/VNM/Environment/CO2 emissions (metric tons per capita)", - "World/Persian Gulf/ARE/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/ARG/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/AZE/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/BGD/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/BRA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Pair/CHN/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/COL/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/DZA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/EGY/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Europe/ESP/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/IND/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/ISR/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/KOR/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/MAR/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/MEX/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/South Africa/NGA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Europe/NLD/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/OMN/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/PER/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Europe/POL/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/QAT/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/SAU/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/THA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/TUR/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Pair/USA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/VNM/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/ARE/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/BGD/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/BRA/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/CHL/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Pair/CHN/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/South Africa/CMR/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/CRI/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/North Africa/DZA/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/North Africa/EGY/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Europe/GBR/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/South Africa/GHA/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/IDN/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/IND/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/North Africa/MAR/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/South Africa/MOZ/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Europe/NLD/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Persian Gulf/OMN/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/PAN/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/PER/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/PHL/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Europe/POL/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Persian Gulf/SAU/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/THA/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/VNM/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Persian Gulf/ARE/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Europe/AUT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Asia/BGD/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Latam/BRA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Latam/CHL/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Pair/CHN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - 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"World/Persian Gulf/QAT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Persian Gulf/SAU/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/South Africa/SEN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Asia/VNM/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Persian Gulf/ARE/Industry/Capture fisheries production (metric tons)", - "World/Persian Gulf/AZE/Industry/Capture fisheries production (metric tons)", - "World/Asia/BGD/Industry/Capture fisheries production (metric tons)", - "World/Latam/CHL/Industry/Capture fisheries production (metric tons)", - "World/South Africa/CMR/Industry/Capture fisheries production (metric tons)", - "World/Latam/CRI/Industry/Capture fisheries production (metric tons)", - "World/Europe/GRC/Industry/Capture fisheries production (metric tons)", - "World/Europe/HRV/Industry/Capture fisheries production (metric tons)", - "World/Asia/IDN/Industry/Capture fisheries production (metric tons)", - "World/Asia/IND/Industry/Capture fisheries production (metric tons)", - "World/North Africa/ISR/Industry/Capture fisheries production (metric tons)", - "World/North Africa/MAR/Industry/Capture fisheries production (metric tons)", - "World/South Africa/MOZ/Industry/Capture fisheries production (metric tons)", - "World/South Africa/NGA/Industry/Capture fisheries production (metric tons)", - "World/Persian Gulf/OMN/Industry/Capture fisheries production (metric tons)", - "World/Asia/PHL/Industry/Capture fisheries production (metric tons)", - "World/Persian Gulf/SAU/Industry/Capture fisheries production (metric tons)", - "World/Asia/THA/Industry/Capture fisheries production (metric tons)", - "World/Asia/VNM/Industry/Capture fisheries production (metric tons)", - "World/Asia/BGD/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/BRA/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/CHL/Agriculture/Cereal yield (kg per hectare)", - "World/Pair/CHN/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/COL/Agriculture/Cereal yield (kg per hectare)", - "World/South Africa/GHA/Agriculture/Cereal yield (kg per hectare)", - "World/Asia/IDN/Agriculture/Cereal yield (kg per hectare)", - "World/Asia/IND/Agriculture/Cereal yield (kg per hectare)", - "World/North Africa/ISR/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/MEX/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/PAN/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/PER/Agriculture/Cereal yield (kg per hectare)", - "World/Asia/PHL/Agriculture/Cereal yield (kg per hectare)", - "World/Persian Gulf/QAT/Agriculture/Cereal yield (kg per hectare)", - "World/Persian Gulf/SAU/Agriculture/Cereal yield (kg per hectare)", - "World/North Africa/TUR/Agriculture/Cereal yield (kg per hectare)", - "World/Pair/USA/Agriculture/Cereal yield (kg per hectare)", - "World/Asia/VNM/Agriculture/Cereal yield (kg per hectare)", - "World/Europe/AUT/Environment/Combustible renewables and waste (% of total energy)", - "World/Persian Gulf/AZE/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/BGD/Environment/Combustible renewables and waste (% of total energy)", - "World/Pair/CHN/Environment/Combustible renewables and waste (% of total energy)", - "World/Latam/COL/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/DEU/Environment/Combustible renewables and waste (% of total energy)", - "World/North Africa/DZA/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/GBR/Environment/Combustible renewables and waste (% of total energy)", - "World/South Africa/GHA/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/IDN/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/IND/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/KOR/Environment/Combustible renewables and waste (% of total energy)", - "World/North Africa/MAR/Environment/Combustible renewables and waste (% of total energy)", - "World/Latam/MEX/Environment/Combustible renewables and waste (% of total energy)", - "World/South Africa/MOZ/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/NLD/Environment/Combustible renewables and waste (% of total energy)", - "World/Latam/PAN/Environment/Combustible renewables and waste (% of total energy)", - "World/Latam/PER/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/PHL/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/POL/Environment/Combustible renewables and waste (% of total energy)", - "World/Persian Gulf/SAU/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/SWE/Environment/Combustible renewables and waste (% of total energy)", - "World/North Africa/TUR/Environment/Combustible renewables and waste (% of total energy)", - "World/Pair/USA/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/VNM/Environment/Combustible renewables and waste (% of total energy)", - "World/Persian Gulf/ARE/Economy/Commercial bank branches (per 100,000 adults)", - "World/Asia/BGD/Economy/Commercial bank branches (per 100,000 adults)", - "World/Pair/CHN/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/CMR/Economy/Commercial bank branches (per 100,000 adults)", - "World/Latam/CRI/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/DEU/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/DZA/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/EGY/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/FRA/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/GBR/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/GHA/Economy/Commercial bank branches (per 100,000 adults)", - "World/Asia/IDN/Economy/Commercial bank branches (per 100,000 adults)", - "World/Asia/IND/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/ISR/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/MAR/Economy/Commercial bank branches (per 100,000 adults)", - "World/Latam/MEX/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/MOZ/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/NLD/Economy/Commercial bank branches (per 100,000 adults)", - "World/Persian Gulf/OMN/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/POL/Economy/Commercial bank branches (per 100,000 adults)", - "World/Persian Gulf/QAT/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/SEN/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/TUR/Economy/Commercial bank branches (per 100,000 adults)", - "World/Pair/USA/Economy/Commercial bank branches (per 100,000 adults)", - "World/Persian Gulf/YEM/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/ZAF/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/AUT/Exports/Commercial service exports (current US$)", - "World/Persian Gulf/AZE/Exports/Commercial service exports (current US$)", - "World/Asia/BGD/Exports/Commercial service exports (current US$)", - "World/Latam/BRA/Exports/Commercial service exports (current US$)", - "World/Latam/CHL/Exports/Commercial service exports (current US$)", - "World/Pair/CHN/Exports/Commercial service exports (current US$)", - "World/South Africa/CMR/Exports/Commercial service exports (current US$)", - "World/Latam/COL/Exports/Commercial service exports (current US$)", - "World/Latam/CRI/Exports/Commercial service exports (current US$)", - "World/Europe/DEU/Exports/Commercial service exports (current US$)", - "World/North Africa/DZA/Exports/Commercial service exports (current US$)", - "World/Europe/ESP/Exports/Commercial service exports (current US$)", - "World/Europe/FRA/Exports/Commercial service exports (current US$)", - "World/Europe/GBR/Exports/Commercial service exports (current US$)", - "World/South Africa/GHA/Exports/Commercial service exports (current US$)", - "World/Europe/GRC/Exports/Commercial service exports (current US$)", - "World/Europe/HRV/Exports/Commercial service exports (current US$)", - "World/Asia/IDN/Exports/Commercial service exports (current US$)", - "World/Asia/IND/Exports/Commercial service exports (current US$)", - "World/North Africa/ISR/Exports/Commercial service exports (current US$)", - "World/Asia/KOR/Exports/Commercial service exports (current US$)", - "World/North Africa/MAR/Exports/Commercial service exports (current US$)", - "World/Europe/NLD/Exports/Commercial service exports (current US$)", - "World/Persian Gulf/OMN/Exports/Commercial service exports (current US$)", - "World/Latam/PAN/Exports/Commercial service exports (current US$)", - "World/Latam/PER/Exports/Commercial service exports (current US$)", - "World/Asia/PHL/Exports/Commercial service exports (current US$)", - "World/Europe/POL/Exports/Commercial service exports (current US$)", - "World/Persian Gulf/QAT/Exports/Commercial service exports (current US$)", - "World/South Africa/SEN/Exports/Commercial service exports (current US$)", - "World/Europe/SWE/Exports/Commercial service exports (current US$)", - "World/Asia/THA/Exports/Commercial service exports (current US$)", - "World/North Africa/TUR/Exports/Commercial service exports (current US$)", - "World/Pair/USA/Exports/Commercial service exports (current US$)", - "World/Asia/VNM/Exports/Commercial service exports (current US$)", - "World/South Africa/ZAF/Exports/Commercial service exports (current US$)", - "World/Latam/ARG/Imports/Commercial service imports (current US$)", - "World/Europe/AUT/Imports/Commercial service imports (current US$)", - "World/Persian Gulf/AZE/Imports/Commercial service imports (current US$)", - "World/Asia/BGD/Imports/Commercial service imports (current US$)", - "World/Latam/BRA/Imports/Commercial service imports (current US$)", - "World/Latam/CHL/Imports/Commercial service imports (current US$)", - "World/Pair/CHN/Imports/Commercial service imports (current US$)", - "World/South Africa/CMR/Imports/Commercial service imports (current US$)", - "World/Latam/COL/Imports/Commercial service imports (current US$)", - "World/Latam/CRI/Imports/Commercial service imports (current US$)", - "World/Europe/DEU/Imports/Commercial service imports (current US$)", - "World/North Africa/DZA/Imports/Commercial service imports (current US$)", - "World/North Africa/EGY/Imports/Commercial service imports (current US$)", - "World/Europe/ESP/Imports/Commercial service imports (current US$)", - "World/Europe/FRA/Imports/Commercial service imports (current US$)", - "World/Europe/GBR/Imports/Commercial service imports (current US$)", - "World/South Africa/GHA/Imports/Commercial service imports (current US$)", - "World/Europe/HRV/Imports/Commercial service imports (current US$)", - "World/Asia/IDN/Imports/Commercial service imports (current US$)", - "World/Asia/IND/Imports/Commercial service imports (current US$)", - "World/North Africa/ISR/Imports/Commercial service imports (current US$)", - "World/Asia/KOR/Imports/Commercial service imports (current US$)", - "World/North Africa/MAR/Imports/Commercial service imports (current US$)", - "World/Latam/MEX/Imports/Commercial service imports (current US$)", - "World/South Africa/MOZ/Imports/Commercial service imports (current US$)", - "World/South Africa/NGA/Imports/Commercial service imports (current US$)", - "World/Europe/NLD/Imports/Commercial service imports (current US$)", - "World/Persian Gulf/OMN/Imports/Commercial service imports (current US$)", - "World/Latam/PAN/Imports/Commercial service imports (current US$)", - "World/Latam/PER/Imports/Commercial service imports (current US$)", - "World/Asia/PHL/Imports/Commercial service imports (current US$)", - "World/Europe/POL/Imports/Commercial service imports (current US$)", - "World/Persian Gulf/QAT/Imports/Commercial service imports (current US$)", - "World/South Africa/SEN/Imports/Commercial service imports (current US$)", - "World/Europe/SWE/Imports/Commercial service imports (current US$)", - "World/Asia/THA/Imports/Commercial service imports (current US$)", - "World/North Africa/TUR/Imports/Commercial service imports (current US$)", - "World/Pair/USA/Imports/Commercial service imports (current US$)", - "World/Asia/VNM/Imports/Commercial service imports (current US$)", - "World/South Africa/ZAF/Imports/Commercial service imports (current US$)", - "World/Latam/ARG/Demoraphy/Completeness of birth registration (%)", - "World/Asia/BGD/Demoraphy/Completeness of birth registration (%)", - "World/Latam/BRA/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/CMR/Demoraphy/Completeness of birth registration (%)", - "World/Latam/COL/Demoraphy/Completeness of birth registration (%)", - "World/Latam/CRI/Demoraphy/Completeness of birth registration (%)", - "World/North Africa/DZA/Demoraphy/Completeness of birth registration (%)", - "World/North Africa/EGY/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/GHA/Demoraphy/Completeness of birth registration (%)", - "World/Asia/IND/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/LBR/Demoraphy/Completeness of birth registration (%)", - "World/North Africa/MAR/Demoraphy/Completeness of birth registration (%)", - "World/Latam/MEX/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/MOZ/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/NGA/Demoraphy/Completeness of birth registration (%)", - "World/Latam/PAN/Demoraphy/Completeness of birth registration (%)", - "World/Latam/PER/Demoraphy/Completeness of birth registration (%)", - "World/Asia/PHL/Demoraphy/Completeness of birth registration (%)", - "World/North Africa/TUR/Demoraphy/Completeness of birth registration (%)", - "World/Latam/VEN/Demoraphy/Completeness of birth registration (%)", - "World/Asia/VNM/Demoraphy/Completeness of birth registration (%)", - "World/Persian Gulf/ARE/Economy/Consumer price index (2010 = 100)", - "World/Europe/AUT/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/AZE/Economy/Consumer price index (2010 = 100)", - "World/Asia/BGD/Economy/Consumer price index (2010 = 100)", - "World/Latam/BRA/Economy/Consumer price index (2010 = 100)", - "World/Latam/CHL/Economy/Consumer price index (2010 = 100)", - "World/Pair/CHN/Economy/Consumer price index (2010 = 100)", - "World/South Africa/CMR/Economy/Consumer price index (2010 = 100)", - "World/Latam/COL/Economy/Consumer price index (2010 = 100)", - "World/Latam/CRI/Economy/Consumer price index (2010 = 100)", - "World/Europe/DEU/Economy/Consumer price index (2010 = 100)", - "World/North Africa/DZA/Economy/Consumer price index (2010 = 100)", - "World/North Africa/EGY/Economy/Consumer price index (2010 = 100)", - "World/Europe/ESP/Economy/Consumer price index (2010 = 100)", - "World/Europe/FRA/Economy/Consumer price index (2010 = 100)", - "World/Europe/GBR/Economy/Consumer price index (2010 = 100)", - "World/South Africa/GHA/Economy/Consumer price index (2010 = 100)", - "World/Europe/GRC/Economy/Consumer price index (2010 = 100)", - "World/Asia/IDN/Economy/Consumer price index (2010 = 100)", - "World/Asia/IND/Economy/Consumer price index (2010 = 100)", - "World/North Africa/ISR/Economy/Consumer price index (2010 = 100)", - "World/Asia/KOR/Economy/Consumer price index (2010 = 100)", - "World/South Africa/LBR/Economy/Consumer price index (2010 = 100)", - "World/North Africa/MAR/Economy/Consumer price index (2010 = 100)", - "World/Latam/MEX/Economy/Consumer price index (2010 = 100)", - "World/South Africa/MOZ/Economy/Consumer price index (2010 = 100)", - "World/South Africa/NGA/Economy/Consumer price index (2010 = 100)", - "World/Europe/NLD/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/OMN/Economy/Consumer price index (2010 = 100)", - "World/Latam/PAN/Economy/Consumer price index (2010 = 100)", - "World/Latam/PER/Economy/Consumer price index (2010 = 100)", - "World/Asia/PHL/Economy/Consumer price index (2010 = 100)", - "World/Europe/POL/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/QAT/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/SAU/Economy/Consumer price index (2010 = 100)", - "World/South Africa/SEN/Economy/Consumer price index (2010 = 100)", - "World/Europe/SWE/Economy/Consumer price index (2010 = 100)", - "World/Asia/THA/Economy/Consumer price index (2010 = 100)", - "World/North Africa/TUR/Economy/Consumer price index (2010 = 100)", - "World/Pair/USA/Economy/Consumer price index (2010 = 100)", - "World/Latam/VEN/Economy/Consumer price index (2010 = 100)", - "World/Asia/VNM/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/YEM/Economy/Consumer price index (2010 = 100)", - "World/South Africa/ZAF/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/ARE/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/BGD/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/CHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Pair/CHN/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/CMR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/COL/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/CRI/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/DEU/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/ESP/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/FRA/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/GBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/GHA/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/IDN/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/IND/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/North Africa/ISR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/KOR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/LBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/North Africa/MAR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/MEX/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/MOZ/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/NLD/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Persian Gulf/OMN/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/PAN/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/PER/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/PHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/POL/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Persian Gulf/QAT/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Persian Gulf/SAU/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/SWE/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/THA/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/North Africa/TUR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Pair/USA/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/VNM/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/ZAF/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Persian Gulf/AZE/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/BGD/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/BRA/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/CHL/Agriculture/Crop production index (2014-2016 = 100)", - "World/Pair/CHN/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/CMR/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/COL/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/CRI/Agriculture/Crop production index (2014-2016 = 100)", - "World/North Africa/DZA/Agriculture/Crop production index (2014-2016 = 100)", - "World/North Africa/EGY/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/GHA/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/IDN/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/IND/Agriculture/Crop production index (2014-2016 = 100)", - "World/North Africa/MAR/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/MEX/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/MOZ/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/NGA/Agriculture/Crop production index (2014-2016 = 100)", - "World/Persian Gulf/OMN/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/PER/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/PHL/Agriculture/Crop production index (2014-2016 = 100)", - "World/Persian Gulf/QAT/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/SEN/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/THA/Agriculture/Crop production index (2014-2016 = 100)", - "World/North Africa/TUR/Agriculture/Crop production index (2014-2016 = 100)", - "World/Pair/USA/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/VNM/Agriculture/Crop production index (2014-2016 = 100)", - "World/Persian Gulf/YEM/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/ARG/Health/Current health expenditure (% of GDP)", - "World/Europe/AUT/Health/Current health expenditure (% of GDP)", - "World/Latam/CHL/Health/Current health expenditure (% of GDP)", - "World/Pair/CHN/Health/Current health expenditure (% of GDP)", - "World/South Africa/CMR/Health/Current health expenditure (% of GDP)", - "World/Latam/COL/Health/Current health expenditure (% of GDP)", - "World/Latam/CRI/Health/Current health expenditure (% of GDP)", - "World/Europe/ESP/Health/Current health expenditure (% of GDP)", - "World/Europe/FRA/Health/Current health expenditure (% of GDP)", - "World/Europe/GBR/Health/Current health expenditure (% of GDP)", - "World/Europe/GRC/Health/Current health expenditure (% of GDP)", - "World/Asia/IDN/Health/Current health expenditure (% of GDP)", - "World/Asia/IND/Health/Current health expenditure (% of GDP)", - "World/Asia/KOR/Health/Current health expenditure (% of GDP)", - "World/South Africa/MOZ/Health/Current health expenditure (% of GDP)", - "World/Europe/NLD/Health/Current health expenditure (% of GDP)", - "World/Latam/PER/Health/Current health expenditure (% of GDP)", - "World/Europe/POL/Health/Current health expenditure (% of GDP)", - "World/Europe/SWE/Health/Current health expenditure (% of GDP)", - "World/Asia/THA/Health/Current health expenditure (% of GDP)", - "World/Pair/USA/Health/Current health expenditure (% of GDP)", - "World/Asia/VNM/Health/Current health expenditure (% of GDP)", - "World/Persian Gulf/YEM/Health/Current health expenditure (% of GDP)", - "World/Persian Gulf/ARE/Health/Current health expenditure per capita (current US$)", - "World/Latam/ARG/Health/Current health expenditure per capita (current US$)", - "World/Europe/AUT/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Health/Current health expenditure per capita (current US$)", - "World/Asia/BGD/Health/Current health expenditure per capita (current US$)", - "World/Latam/BRA/Health/Current health expenditure per capita (current US$)", - "World/Latam/CHL/Health/Current health expenditure per capita (current US$)", - "World/Pair/CHN/Health/Current health expenditure per capita (current US$)", - "World/South Africa/CMR/Health/Current health expenditure per capita (current US$)", - "World/Latam/COL/Health/Current health expenditure per capita (current US$)", - "World/Latam/CRI/Health/Current health expenditure per capita (current US$)", - "World/Europe/DEU/Health/Current health expenditure per capita (current US$)", - "World/North Africa/DZA/Health/Current health expenditure per capita (current US$)", - "World/Europe/ESP/Health/Current health expenditure per capita (current US$)", - "World/Europe/FRA/Health/Current health expenditure per capita (current US$)", - "World/Europe/GBR/Health/Current health expenditure per capita (current US$)", - "World/South Africa/GHA/Health/Current health expenditure per capita (current US$)", - "World/Europe/GRC/Health/Current health expenditure per capita (current US$)", - "World/Europe/HRV/Health/Current health expenditure per capita (current US$)", - "World/Asia/IDN/Health/Current health expenditure per capita (current US$)", - "World/Asia/IND/Health/Current health expenditure per capita (current US$)", - "World/North Africa/ISR/Health/Current health expenditure per capita (current US$)", - "World/Asia/KOR/Health/Current health expenditure per capita (current US$)", - "World/South Africa/LBR/Health/Current health expenditure per capita (current US$)", - "World/North Africa/MAR/Health/Current health expenditure per capita (current US$)", - "World/Latam/MEX/Health/Current health expenditure per capita (current US$)", - "World/South Africa/MOZ/Health/Current health expenditure per capita (current US$)", - "World/South Africa/NGA/Health/Current health expenditure per capita (current US$)", - "World/Europe/NLD/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/OMN/Health/Current health expenditure per capita (current US$)", - "World/Latam/PAN/Health/Current health expenditure per capita (current US$)", - "World/Latam/PER/Health/Current health expenditure per capita (current US$)", - "World/Asia/PHL/Health/Current health expenditure per capita (current US$)", - "World/Europe/POL/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/QAT/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/SAU/Health/Current health expenditure per capita (current US$)", - "World/South Africa/SEN/Health/Current health expenditure per capita (current US$)", - "World/Europe/SWE/Health/Current health expenditure per capita (current US$)", - "World/Asia/THA/Health/Current health expenditure per capita (current US$)", - "World/Pair/USA/Health/Current health expenditure per capita (current US$)", - "World/Latam/VEN/Health/Current health expenditure per capita (current US$)", - "World/Asia/VNM/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/YEM/Health/Current health expenditure per capita (current US$)", - "World/South Africa/ZAF/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/BGD/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/CHL/Economy/Customs and other import duties (% of tax revenue)", - "World/Pair/CHN/Economy/Customs and other import duties (% of tax revenue)", - "World/South Africa/CMR/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/COL/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/CRI/Economy/Customs and other import duties (% of tax revenue)", - "World/North Africa/EGY/Economy/Customs and other import duties (% of tax revenue)", - "World/Europe/ESP/Economy/Customs and other import duties (% of tax revenue)", - "World/Europe/HRV/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/IND/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/KOR/Economy/Customs and other import duties (% of tax revenue)", - "World/North Africa/MAR/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/MEX/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/PAN/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/PER/Economy/Customs and other import duties (% of tax revenue)", - "World/Europe/POL/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/THA/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/BGD/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/CHL/Economy/Domestic credit to private sector (% of GDP)", - "World/Pair/CHN/Economy/Domestic credit to private sector (% of GDP)", - "World/South Africa/CMR/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/COL/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/CRI/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/DEU/Economy/Domestic credit to private sector (% of GDP)", - "World/North Africa/DZA/Economy/Domestic credit to private sector (% of GDP)", - "World/North Africa/EGY/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/FRA/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/GRC/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/HRV/Economy/Domestic credit to private sector (% of GDP)", - "World/Asia/IND/Economy/Domestic credit to private sector (% of GDP)", - "World/Asia/KOR/Economy/Domestic credit to private sector (% of GDP)", - "World/South Africa/LBR/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/MEX/Economy/Domestic credit to private sector (% of GDP)", - "World/Persian Gulf/OMN/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/PER/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/POL/Economy/Domestic credit to private sector (% of GDP)", - "World/Persian Gulf/QAT/Economy/Domestic credit to private sector (% of GDP)", - "World/Persian Gulf/SAU/Economy/Domestic credit to private sector (% of GDP)", - "World/South Africa/SEN/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/SWE/Economy/Domestic credit to private sector (% of GDP)", - "World/North Africa/TUR/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/VEN/Economy/Domestic credit to private sector (% of GDP)", - "World/Asia/VNM/Economy/Domestic credit to private sector (% of GDP)", - "World/Persian Gulf/ARE/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Persian Gulf/AZE/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Asia/BGD/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/CHL/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Pair/CHN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/South Africa/CMR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/COL/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/CRI/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/DEU/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/North Africa/DZA/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/North Africa/EGY/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/GRC/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/HRV/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Asia/IND/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Asia/KOR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/South Africa/LBR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/North Africa/MAR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/MEX/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Persian Gulf/OMN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/PAN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/PER/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/POL/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Persian Gulf/QAT/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Persian Gulf/SAU/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/South Africa/SEN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/SWE/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/North Africa/TUR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/VEN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Asia/VNM/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/ARG/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/AUT/Health/Domestic general government health expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/BGD/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/BRA/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/CHL/Health/Domestic general government health expenditure per capita (current US$)", - "World/Pair/CHN/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/COL/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/CRI/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/DEU/Health/Domestic general government health expenditure per capita (current US$)", - "World/North Africa/DZA/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/ESP/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/FRA/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/GBR/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/GRC/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/HRV/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/IDN/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/IND/Health/Domestic general government health expenditure per capita (current US$)", - "World/North Africa/ISR/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/KOR/Health/Domestic general government health expenditure per capita (current US$)", - "World/South Africa/LBR/Health/Domestic general government health expenditure per capita (current US$)", - "World/North Africa/MAR/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/MEX/Health/Domestic general government health expenditure per capita (current US$)", - "World/South Africa/MOZ/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/NLD/Health/Domestic general government health expenditure per capita (current US$)", - "World/Persian Gulf/OMN/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/PAN/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/PER/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/PHL/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/POL/Health/Domestic general government health expenditure per capita (current US$)", - "World/Persian Gulf/QAT/Health/Domestic general government health expenditure per capita (current US$)", - "World/Persian Gulf/SAU/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/SWE/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/THA/Health/Domestic general government health expenditure per capita (current US$)", - "World/North Africa/TUR/Health/Domestic general government health expenditure per capita (current US$)", - "World/Pair/USA/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/VNM/Health/Domestic general government health expenditure per capita (current US$)", - "World/South Africa/ZAF/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/ARG/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/AUT/Health/Domestic private health expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/BGD/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/BRA/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/CHL/Health/Domestic private health expenditure per capita (current US$)", - "World/Pair/CHN/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/CMR/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/COL/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/CRI/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/DEU/Health/Domestic private health expenditure per capita (current US$)", - "World/North Africa/DZA/Health/Domestic private health expenditure per capita (current US$)", - "World/North Africa/EGY/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/ESP/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/FRA/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/GBR/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/GHA/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/HRV/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/IDN/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/IND/Health/Domestic private health expenditure per capita (current US$)", - "World/North Africa/ISR/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/KOR/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/LBR/Health/Domestic private health expenditure per capita (current US$)", - "World/North Africa/MAR/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/NGA/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/NLD/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/PAN/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/PER/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/PHL/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/POL/Health/Domestic private health expenditure per capita (current US$)", - "World/Persian Gulf/QAT/Health/Domestic private health expenditure per capita (current US$)", - "World/Persian Gulf/SAU/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/SEN/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/SWE/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/THA/Health/Domestic private health expenditure per capita (current US$)", - "World/Pair/USA/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/VNM/Health/Domestic private health expenditure per capita (current US$)", - "World/Persian Gulf/YEM/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/ZAF/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/AUT/Environment/Electric power consumption (kWh per capita)", - "World/Asia/BGD/Environment/Electric power consumption (kWh per capita)", - "World/Latam/BRA/Environment/Electric power consumption (kWh per capita)", - "World/Latam/CHL/Environment/Electric power consumption (kWh per capita)", - "World/Pair/CHN/Environment/Electric power consumption (kWh per capita)", - "World/South Africa/CMR/Environment/Electric power consumption (kWh per capita)", - "World/Latam/COL/Environment/Electric power consumption (kWh per capita)", - "World/Latam/CRI/Environment/Electric power consumption (kWh per capita)", - "World/North Africa/DZA/Environment/Electric power consumption (kWh per capita)", - "World/North Africa/EGY/Environment/Electric power consumption (kWh per capita)", - "World/Europe/GBR/Environment/Electric power consumption (kWh per capita)", - "World/Europe/GRC/Environment/Electric power consumption (kWh per capita)", - "World/Europe/HRV/Environment/Electric power consumption (kWh per capita)", - "World/Asia/IDN/Environment/Electric power consumption (kWh per capita)", - "World/Asia/IND/Environment/Electric power consumption (kWh per capita)", - "World/Asia/KOR/Environment/Electric power consumption (kWh per capita)", - "World/North Africa/MAR/Environment/Electric power consumption (kWh per capita)", - "World/Latam/MEX/Environment/Electric power consumption (kWh per capita)", - "World/South Africa/MOZ/Environment/Electric power consumption (kWh per capita)", - "World/South Africa/NGA/Environment/Electric power consumption (kWh per capita)", - "World/Persian Gulf/OMN/Environment/Electric power consumption (kWh per capita)", - "World/Latam/PAN/Environment/Electric power consumption (kWh per capita)", - "World/Latam/PER/Environment/Electric power consumption (kWh per capita)", - "World/Asia/PHL/Environment/Electric power consumption (kWh per capita)", - "World/Europe/POL/Environment/Electric power consumption (kWh per capita)", - "World/Persian Gulf/SAU/Environment/Electric power consumption (kWh per capita)", - "World/South Africa/SEN/Environment/Electric power consumption (kWh per capita)", - "World/Europe/SWE/Environment/Electric power consumption (kWh per capita)", - "World/Asia/THA/Environment/Electric power consumption (kWh per capita)", - "World/North Africa/TUR/Environment/Electric power consumption (kWh per capita)", - 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"World/South Africa/CMR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/COL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/CRI/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/DEU/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/DZA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/EGY/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/ESP/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/FRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/GBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/GHA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/IDN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/IND/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/ISR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/KOR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/LBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/MAR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/MEX/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/MOZ/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/NGA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/NLD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/OMN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/PAN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/PER/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/PHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/POL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/QAT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/SEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/SWE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/TUR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/VEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/VNM/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/ZAF/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/ARG/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/AUT/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/AZE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/BGD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Latam/BRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Pair/CHN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/South Africa/CMR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Latam/CRI/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/DEU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/North Africa/DZA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/North Africa/EGY/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/ESP/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/FRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/GBR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/GRC/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/HRV/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/IDN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/IND/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/North Africa/ISR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/KOR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/North Africa/MAR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/South Africa/MOZ/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/NLD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/OMN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/POL/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/SAU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/South Africa/SEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/SWE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Pair/USA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Latam/VEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/VNM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/YEM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/South Africa/ZAF/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/ARE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/ARG/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/AUT/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/BGD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/BRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/CHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Pair/CHN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/CMR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/COL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/CRI/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/DEU/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/DZA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/EGY/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/ESP/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/FRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/GBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/GHA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/GRC/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/HRV/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/IDN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/IND/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/ISR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/KOR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/LBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/MAR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/MEX/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/MOZ/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/NGA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/NLD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/OMN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/PAN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/PER/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/PHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/POL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/SEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/SWE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/THA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/TUR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Pair/USA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/VEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/VNM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/YEM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/ZAF/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/AZE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/BGD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Pair/CHN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/South Africa/CMR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/CRI/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/DEU/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/North Africa/DZA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/GBR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/South Africa/GHA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/IDN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/IND/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/North Africa/ISR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/KOR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/MEX/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/South Africa/MOZ/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/South Africa/NGA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/NLD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Persian Gulf/OMN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/PAN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/PER/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/PHL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/POL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/SWE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/THA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/North Africa/TUR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Pair/USA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/VEN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/BGD/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/BRA/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/CHL/Environment/Energy use (kg of oil equivalent per capita)", - "World/Pair/CHN/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/CRI/Environment/Energy use (kg of oil equivalent per capita)", - "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent per capita)", - "World/Europe/GBR/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/IDN/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/IND/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/KOR/Environment/Energy use (kg of oil equivalent per capita)", - "World/North Africa/MAR/Environment/Energy use (kg of oil equivalent per capita)", - "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent per capita)", - "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent per capita)", - "World/Europe/NLD/Environment/Energy use (kg of oil equivalent per capita)", - "World/Persian Gulf/OMN/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/PAN/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/PER/Environment/Energy use (kg of oil equivalent per capita)", - "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/THA/Environment/Energy use (kg of oil equivalent per capita)", - "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent per capita)", - "World/Pair/USA/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/VNM/Environment/Energy use (kg of oil equivalent per capita)", - "World/Europe/AUT/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Persian Gulf/AZE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/BGD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Pair/CHN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/CMR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Latam/COL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Latam/CRI/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/DEU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/ESP/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/FRA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/GBR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/GHA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/HRV/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/IDN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/IND/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/North Africa/ISR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/KOR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Latam/MEX/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/NLD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Latam/PAN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/PHL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/POL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/SWE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Pair/USA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/ZAF/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Persian Gulf/ARE/Exports/Export unit value index (2000 = 100)", - "World/Europe/AUT/Exports/Export unit value index (2000 = 100)", - "World/Persian Gulf/AZE/Exports/Export unit value index (2000 = 100)", - "World/Asia/BGD/Exports/Export unit value index (2000 = 100)", - "World/Latam/BRA/Exports/Export unit value index (2000 = 100)", - "World/Latam/CRI/Exports/Export unit value index (2000 = 100)", - "World/Europe/DEU/Exports/Export unit value index (2000 = 100)", - "World/North Africa/DZA/Exports/Export unit value index (2000 = 100)", - "World/Europe/ESP/Exports/Export unit value index (2000 = 100)", - "World/Europe/FRA/Exports/Export unit value index (2000 = 100)", - "World/South Africa/GHA/Exports/Export unit value index (2000 = 100)", - "World/Europe/GRC/Exports/Export unit value index (2000 = 100)", - "World/Europe/HRV/Exports/Export unit value index (2000 = 100)", - "World/Latam/MEX/Exports/Export unit value index (2000 = 100)", - "World/Europe/NLD/Exports/Export unit value index (2000 = 100)", - "World/Latam/PAN/Exports/Export unit value index (2000 = 100)", - "World/Europe/POL/Exports/Export unit value index (2000 = 100)", - "World/Europe/SWE/Exports/Export unit value index (2000 = 100)", - "World/Asia/THA/Exports/Export unit value index (2000 = 100)", - "World/Asia/VNM/Exports/Export unit value index (2000 = 100)", - "World/Persian Gulf/YEM/Exports/Export unit value index (2000 = 100)", - "World/South Africa/ZAF/Exports/Export unit value index (2000 = 100)", - "World/Persian Gulf/ARE/Exports/Export value index (2000 = 100)", - "World/Europe/AUT/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/AZE/Exports/Export value index (2000 = 100)", - "World/Asia/BGD/Exports/Export value index (2000 = 100)", - "World/Latam/BRA/Exports/Export value index (2000 = 100)", - "World/Latam/CHL/Exports/Export value index (2000 = 100)", - "World/Pair/CHN/Exports/Export value index (2000 = 100)", - "World/Latam/COL/Exports/Export value index (2000 = 100)", - "World/Latam/CRI/Exports/Export value index (2000 = 100)", - "World/Europe/DEU/Exports/Export value index (2000 = 100)", - "World/North Africa/DZA/Exports/Export value index (2000 = 100)", - "World/Europe/ESP/Exports/Export value index (2000 = 100)", - "World/Europe/FRA/Exports/Export value index (2000 = 100)", - "World/Europe/GBR/Exports/Export value index (2000 = 100)", - "World/South Africa/GHA/Exports/Export value index (2000 = 100)", - "World/Asia/IDN/Exports/Export value index (2000 = 100)", - "World/Asia/IND/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/IRQ/Exports/Export value index (2000 = 100)", - "World/Asia/KOR/Exports/Export value index (2000 = 100)", - "World/North Africa/MAR/Exports/Export value index (2000 = 100)", - "World/Latam/MEX/Exports/Export value index (2000 = 100)", - "World/South Africa/MOZ/Exports/Export value index (2000 = 100)", - "World/Europe/NLD/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/OMN/Exports/Export value index (2000 = 100)", - "World/Latam/PAN/Exports/Export value index (2000 = 100)", - "World/Latam/PER/Exports/Export value index (2000 = 100)", - "World/Asia/PHL/Exports/Export value index (2000 = 100)", - "World/Europe/POL/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/QAT/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/SAU/Exports/Export value index (2000 = 100)", - "World/South Africa/SEN/Exports/Export value index (2000 = 100)", - "World/Europe/SWE/Exports/Export value index (2000 = 100)", - "World/Asia/THA/Exports/Export value index (2000 = 100)", - "World/North Africa/TUR/Exports/Export value index (2000 = 100)", - "World/Pair/USA/Exports/Export value index (2000 = 100)", - "World/Latam/VEN/Exports/Export value index (2000 = 100)", - "World/Asia/VNM/Exports/Export value index (2000 = 100)", - "World/South Africa/ZAF/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/ARE/Exports/Export volume index (2000 = 100)", - "World/Europe/AUT/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/AZE/Exports/Export volume index (2000 = 100)", - "World/Asia/BGD/Exports/Export volume index (2000 = 100)", - "World/Latam/BRA/Exports/Export volume index (2000 = 100)", - "World/Latam/CHL/Exports/Export volume index (2000 = 100)", - "World/Pair/CHN/Exports/Export volume index (2000 = 100)", - "World/Latam/COL/Exports/Export volume index (2000 = 100)", - "World/Latam/CRI/Exports/Export volume index (2000 = 100)", - "World/Europe/ESP/Exports/Export volume index (2000 = 100)", - "World/South Africa/GHA/Exports/Export volume index (2000 = 100)", - "World/Europe/GRC/Exports/Export volume index (2000 = 100)", - "World/Asia/IDN/Exports/Export volume index (2000 = 100)", - "World/Asia/IND/Exports/Export volume index (2000 = 100)", - "World/North Africa/ISR/Exports/Export volume index (2000 = 100)", - "World/Asia/KOR/Exports/Export volume index (2000 = 100)", - "World/North Africa/MAR/Exports/Export volume index (2000 = 100)", - "World/Latam/MEX/Exports/Export volume index (2000 = 100)", - "World/South Africa/MOZ/Exports/Export volume index (2000 = 100)", - "World/Europe/NLD/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/OMN/Exports/Export volume index (2000 = 100)", - "World/Latam/PAN/Exports/Export volume index (2000 = 100)", - "World/Latam/PER/Exports/Export volume index (2000 = 100)", - "World/Asia/PHL/Exports/Export volume index (2000 = 100)", - "World/Europe/POL/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/QAT/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/SAU/Exports/Export volume index (2000 = 100)", - "World/Asia/THA/Exports/Export volume index (2000 = 100)", - "World/North Africa/TUR/Exports/Export volume index (2000 = 100)", - "World/Pair/USA/Exports/Export volume index (2000 = 100)", - "World/Latam/VEN/Exports/Export volume index (2000 = 100)", - "World/Asia/VNM/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/YEM/Exports/Export volume index (2000 = 100)", - "World/South Africa/ZAF/Exports/Export volume index (2000 = 100)", - "World/Europe/AUT/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/AZE/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/BGD/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/BRA/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/CHL/Exports/Exports of goods and services (BoP, current US$)", - "World/Pair/CHN/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/COL/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/CRI/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/DEU/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/ESP/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/FRA/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/GBR/Exports/Exports of goods and services (BoP, current US$)", - "World/South Africa/GHA/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/HRV/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/IDN/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/IND/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/IRQ/Exports/Exports of goods and services (BoP, current US$)", - "World/North Africa/ISR/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/KOR/Exports/Exports of goods and services (BoP, current US$)", - "World/North Africa/MAR/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/MEX/Exports/Exports of goods and services (BoP, current US$)", - "World/South Africa/MOZ/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/NLD/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/OMN/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/PAN/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/PER/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/PHL/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/POL/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/SAU/Exports/Exports of goods and services (BoP, current US$)", - "World/South Africa/SEN/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/SWE/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/THA/Exports/Exports of goods and services (BoP, current US$)", - "World/North Africa/TUR/Exports/Exports of goods and services (BoP, current US$)", - "World/Pair/USA/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/VEN/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/VNM/Exports/Exports of goods and services (BoP, current US$)", - "World/South Africa/ZAF/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/ARE/Exports/Exports of goods and services (current US$)", - "World/Europe/AUT/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/AZE/Exports/Exports of goods and services (current US$)", - "World/Asia/BGD/Exports/Exports of goods and services (current US$)", - "World/Latam/BRA/Exports/Exports of goods and services (current US$)", - "World/Latam/CHL/Exports/Exports of goods and services (current US$)", - "World/Pair/CHN/Exports/Exports of goods and services (current US$)", - "World/Latam/COL/Exports/Exports of goods and services (current US$)", - "World/Latam/CRI/Exports/Exports of goods and services (current US$)", - "World/Europe/DEU/Exports/Exports of goods and services (current US$)", - "World/North Africa/DZA/Exports/Exports of goods and services (current US$)", - "World/Europe/ESP/Exports/Exports of goods and services (current US$)", - "World/Europe/FRA/Exports/Exports of goods and services (current US$)", - "World/Europe/GBR/Exports/Exports of goods and services (current US$)", - "World/South Africa/GHA/Exports/Exports of goods and services (current US$)", - "World/Europe/HRV/Exports/Exports of goods and services (current US$)", - "World/Asia/IDN/Exports/Exports of goods and services (current US$)", - "World/Asia/IND/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/IRQ/Exports/Exports of goods and services (current US$)", - "World/North Africa/ISR/Exports/Exports of goods and services (current US$)", - "World/Asia/KOR/Exports/Exports of goods and services (current US$)", - "World/North Africa/MAR/Exports/Exports of goods and services (current US$)", - "World/Latam/MEX/Exports/Exports of goods and services (current US$)", - "World/South Africa/MOZ/Exports/Exports of goods and services (current US$)", - "World/Europe/NLD/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/OMN/Exports/Exports of goods and services (current US$)", - "World/Latam/PAN/Exports/Exports of goods and services (current US$)", - "World/Latam/PER/Exports/Exports of goods and services (current US$)", - "World/Asia/PHL/Exports/Exports of goods and services (current US$)", - "World/Europe/POL/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/QAT/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/SAU/Exports/Exports of goods and services (current US$)", - "World/South Africa/SEN/Exports/Exports of goods and services (current US$)", - "World/Europe/SWE/Exports/Exports of goods and services (current US$)", - "World/Asia/THA/Exports/Exports of goods and services (current US$)", - "World/North Africa/TUR/Exports/Exports of goods and services (current US$)", - "World/Pair/USA/Exports/Exports of goods and services (current US$)", - "World/Latam/VEN/Exports/Exports of goods and services (current US$)", - "World/Asia/VNM/Exports/Exports of goods and services (current US$)", - "World/South Africa/ZAF/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/ARE/Economy/Final consumption expenditure (current US$)", - "World/Latam/ARG/Economy/Final consumption expenditure (current US$)", - "World/Europe/AUT/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/Final consumption expenditure (current US$)", - "World/Asia/BGD/Economy/Final consumption expenditure (current US$)", - "World/Latam/BRA/Economy/Final consumption expenditure (current US$)", - "World/Latam/CHL/Economy/Final consumption expenditure (current US$)", - "World/Pair/CHN/Economy/Final consumption expenditure (current US$)", - "World/South Africa/CMR/Economy/Final consumption expenditure (current US$)", - "World/Latam/COL/Economy/Final consumption expenditure (current US$)", - "World/Latam/CRI/Economy/Final consumption expenditure (current US$)", - "World/Europe/DEU/Economy/Final consumption expenditure (current US$)", - "World/North Africa/DZA/Economy/Final consumption expenditure (current US$)", - "World/North Africa/EGY/Economy/Final consumption expenditure (current US$)", - "World/Europe/ESP/Economy/Final consumption expenditure (current US$)", - "World/Europe/FRA/Economy/Final consumption expenditure (current US$)", - "World/Europe/GBR/Economy/Final consumption expenditure (current US$)", - "World/South Africa/GHA/Economy/Final consumption expenditure (current US$)", - "World/Europe/GRC/Economy/Final consumption expenditure (current US$)", - "World/Europe/HRV/Economy/Final consumption expenditure (current US$)", - "World/Asia/IDN/Economy/Final consumption expenditure (current US$)", - "World/Asia/IND/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/IRQ/Economy/Final consumption expenditure (current US$)", - "World/North Africa/ISR/Economy/Final consumption expenditure (current US$)", - "World/Asia/KOR/Economy/Final consumption expenditure (current US$)", - "World/North Africa/MAR/Economy/Final consumption expenditure (current US$)", - "World/Latam/MEX/Economy/Final consumption expenditure (current US$)", - "World/South Africa/MOZ/Economy/Final consumption expenditure (current US$)", - "World/South Africa/NGA/Economy/Final consumption expenditure (current US$)", - "World/Europe/NLD/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/OMN/Economy/Final consumption expenditure (current US$)", - "World/Latam/PAN/Economy/Final consumption expenditure (current US$)", - "World/Latam/PER/Economy/Final consumption expenditure (current US$)", - "World/Asia/PHL/Economy/Final consumption expenditure (current US$)", - "World/Europe/POL/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/QAT/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/SAU/Economy/Final consumption expenditure (current US$)", - "World/South Africa/SEN/Economy/Final consumption expenditure (current US$)", - "World/Europe/SWE/Economy/Final consumption expenditure (current US$)", - "World/Asia/THA/Economy/Final consumption expenditure (current US$)", - "World/North Africa/TUR/Economy/Final consumption expenditure (current US$)", - "World/Pair/USA/Economy/Final consumption expenditure (current US$)", - "World/Latam/VEN/Economy/Final consumption expenditure (current US$)", - "World/Asia/VNM/Economy/Final consumption expenditure (current US$)", - "World/South Africa/ZAF/Economy/Final consumption expenditure (current US$)", - "World/Latam/ARG/R&D/Firms offering formal training (% of firms)", - "World/Latam/CHL/R&D/Firms offering formal training (% of firms)", - "World/Latam/COL/R&D/Firms offering formal training (% of firms)", - "World/Latam/CRI/R&D/Firms offering formal training (% of firms)", - "World/North Africa/EGY/R&D/Firms offering formal training (% of firms)", - "World/South Africa/GHA/R&D/Firms offering formal training (% of firms)", - "World/Europe/GRC/R&D/Firms offering formal training (% of firms)", - "World/Europe/HRV/R&D/Firms offering formal training (% of firms)", - "World/Asia/IDN/R&D/Firms offering formal training (% of firms)", - "World/Asia/IND/R&D/Firms offering formal training (% of firms)", - "World/South Africa/LBR/R&D/Firms offering formal training (% of firms)", - "World/North Africa/MAR/R&D/Firms offering formal training (% of firms)", - "World/Latam/MEX/R&D/Firms offering formal training (% of firms)", - "World/South Africa/MOZ/R&D/Firms offering formal training (% of firms)", - "World/South Africa/NGA/R&D/Firms offering formal training (% of firms)", - "World/Latam/PAN/R&D/Firms offering formal training (% of firms)", - "World/Latam/PER/R&D/Firms offering formal training (% of firms)", - "World/Asia/PHL/R&D/Firms offering formal training (% of firms)", - "World/Europe/POL/R&D/Firms offering formal training (% of firms)", - "World/South Africa/SEN/R&D/Firms offering formal training (% of firms)", - "World/Asia/THA/R&D/Firms offering formal training (% of firms)", - "World/North Africa/TUR/R&D/Firms offering formal training (% of firms)", - "World/Latam/VEN/R&D/Firms offering formal training (% of firms)", - "World/Asia/VNM/R&D/Firms offering formal training (% of firms)", - "World/Persian Gulf/YEM/R&D/Firms offering formal training (% of firms)", - "World/South Africa/ZAF/R&D/Firms offering formal training (% of firms)", - "World/Latam/ARG/Economy/Firms using banks to finance investment (% of firms)", - "World/Persian Gulf/AZE/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/BGD/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/CHL/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/CMR/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/COL/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/CRI/Economy/Firms using banks to finance investment (% of firms)", - "World/North Africa/EGY/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/GHA/Economy/Firms using banks to finance investment (% of firms)", - "World/Europe/GRC/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/IDN/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/IND/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/LBR/Economy/Firms using banks to finance investment (% of firms)", - "World/North Africa/MAR/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/MEX/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/MOZ/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/NGA/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/PAN/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/PER/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/PHL/Economy/Firms using banks to finance investment (% of firms)", - "World/Europe/POL/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/SEN/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/THA/Economy/Firms using banks to finance investment (% of firms)", - "World/North Africa/TUR/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/VEN/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/VNM/Economy/Firms using banks to finance investment (% of firms)", - "World/Persian Gulf/YEM/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/ZAF/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/ARG/Economy/Firms using banks to finance working capital (% of firms)", - "World/Persian Gulf/AZE/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/BGD/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/CHL/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/CMR/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/COL/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/CRI/Economy/Firms using banks to finance working capital (% of firms)", - "World/North Africa/EGY/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/GHA/Economy/Firms using banks to finance working capital (% of firms)", - "World/Europe/GRC/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/IDN/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/LBR/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/MEX/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/MOZ/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/NGA/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/PAN/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/PER/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/PHL/Economy/Firms using banks to finance working capital (% of firms)", - "World/Europe/POL/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/SEN/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/THA/Economy/Firms using banks to finance working capital (% of firms)", - "World/North Africa/TUR/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/VEN/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/VNM/Economy/Firms using banks to finance working capital (% of firms)", - "World/Persian Gulf/YEM/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/ZAF/Economy/Firms using banks to finance working capital (% of firms)", - "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions", - "World/Latam/ARG/Internet/Fixed broadband subscriptions", - "World/Europe/AUT/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions", - "World/Asia/BGD/Internet/Fixed broadband subscriptions", - "World/Latam/BRA/Internet/Fixed broadband subscriptions", - "World/Latam/CHL/Internet/Fixed broadband subscriptions", - "World/Pair/CHN/Internet/Fixed broadband subscriptions", - "World/South Africa/CMR/Internet/Fixed broadband subscriptions", - "World/Latam/COL/Internet/Fixed broadband subscriptions", - "World/Latam/CRI/Internet/Fixed broadband subscriptions", - "World/Europe/DEU/Internet/Fixed broadband subscriptions", - "World/North Africa/DZA/Internet/Fixed broadband subscriptions", - "World/North Africa/EGY/Internet/Fixed broadband subscriptions", - "World/Europe/ESP/Internet/Fixed broadband subscriptions", - "World/Europe/FRA/Internet/Fixed broadband subscriptions", - "World/Europe/GBR/Internet/Fixed broadband subscriptions", - "World/South Africa/GHA/Internet/Fixed broadband subscriptions", - "World/Europe/GRC/Internet/Fixed broadband subscriptions", - "World/Europe/HRV/Internet/Fixed broadband subscriptions", - "World/Asia/IDN/Internet/Fixed broadband subscriptions", - "World/Asia/IND/Internet/Fixed broadband subscriptions", - "World/North Africa/ISR/Internet/Fixed broadband subscriptions", - "World/Asia/KOR/Internet/Fixed broadband subscriptions", - "World/South Africa/LBR/Internet/Fixed broadband subscriptions", - "World/North Africa/MAR/Internet/Fixed broadband subscriptions", - "World/Latam/MEX/Internet/Fixed broadband subscriptions", - "World/South Africa/MOZ/Internet/Fixed broadband subscriptions", - "World/Europe/NLD/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions", - "World/Latam/PAN/Internet/Fixed broadband subscriptions", - "World/Latam/PER/Internet/Fixed broadband subscriptions", - "World/Asia/PHL/Internet/Fixed broadband subscriptions", - "World/Europe/POL/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions", - "World/South Africa/SEN/Internet/Fixed broadband subscriptions", - "World/Europe/SWE/Internet/Fixed broadband subscriptions", - "World/Asia/THA/Internet/Fixed broadband subscriptions", - "World/North Africa/TUR/Internet/Fixed broadband subscriptions", - "World/Pair/USA/Internet/Fixed broadband subscriptions", - "World/Latam/VEN/Internet/Fixed broadband subscriptions", - "World/Asia/VNM/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions", - "World/South Africa/ZAF/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/ARG/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/AUT/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/BGD/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/BRA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/CHL/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Pair/CHN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/CMR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/COL/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/CRI/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/DEU/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/DZA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/EGY/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/ESP/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/FRA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/GBR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/GHA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/GRC/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/HRV/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/IDN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/IND/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/ISR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/KOR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/LBR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/MAR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/MEX/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/MOZ/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/NLD/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/PAN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/PER/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/PHL/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/POL/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/SEN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/SWE/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/THA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/TUR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Pair/USA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/VEN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/VNM/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/ZAF/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/ARE/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/AZE/Industry/Food production index (2014-2016 = 100)", - "World/Asia/BGD/Industry/Food production index (2014-2016 = 100)", - "World/Latam/BRA/Industry/Food production index (2014-2016 = 100)", - "World/Latam/CHL/Industry/Food production index (2014-2016 = 100)", - "World/Pair/CHN/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/CMR/Industry/Food production index (2014-2016 = 100)", - "World/Latam/COL/Industry/Food production index (2014-2016 = 100)", - "World/Latam/CRI/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/DZA/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/EGY/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/GHA/Industry/Food production index (2014-2016 = 100)", - "World/Asia/IDN/Industry/Food production index (2014-2016 = 100)", - "World/Asia/IND/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/ISR/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/LBR/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/MAR/Industry/Food production index (2014-2016 = 100)", - "World/Latam/MEX/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/MOZ/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/NGA/Industry/Food production index (2014-2016 = 100)", - "World/Europe/NLD/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/OMN/Industry/Food production index (2014-2016 = 100)", - "World/Latam/PAN/Industry/Food production index (2014-2016 = 100)", - "World/Latam/PER/Industry/Food production index (2014-2016 = 100)", - "World/Asia/PHL/Industry/Food production index (2014-2016 = 100)", - "World/Europe/POL/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/QAT/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/SAU/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/SEN/Industry/Food production index (2014-2016 = 100)", - "World/Asia/THA/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/TUR/Industry/Food production index (2014-2016 = 100)", - "World/Pair/USA/Industry/Food production index (2014-2016 = 100)", - "World/Asia/VNM/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/YEM/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/ZAF/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/ARE/Demography/Forest area (% of land area)", - "World/Latam/ARG/Demography/Forest area (% of land area)", - "World/Europe/AUT/Demography/Forest area (% of land area)", - "World/Persian Gulf/AZE/Demography/Forest area (% of land area)", - "World/Asia/BGD/Demography/Forest area (% of land area)", - "World/Latam/BRA/Demography/Forest area (% of land area)", - "World/Latam/CHL/Demography/Forest area (% of land area)", - "World/Pair/CHN/Demography/Forest area (% of land area)", - "World/South Africa/CMR/Demography/Forest area (% of land area)", - "World/Latam/COL/Demography/Forest area (% of land area)", - "World/Latam/CRI/Demography/Forest area (% of land area)", - "World/North Africa/DZA/Demography/Forest area (% of land area)", - "World/North Africa/EGY/Demography/Forest area (% of land area)", - "World/Europe/ESP/Demography/Forest area (% of land area)", - "World/Europe/FRA/Demography/Forest area (% of land area)", - "World/Europe/GBR/Demography/Forest area (% of land area)", - "World/Europe/GRC/Demography/Forest area (% of land area)", - "World/Europe/HRV/Demography/Forest area (% of land area)", - "World/Asia/IDN/Demography/Forest area (% of land area)", - "World/Asia/IND/Demography/Forest area (% of land area)", - "World/Asia/KOR/Demography/Forest area (% of land area)", - "World/South Africa/LBR/Demography/Forest area (% of land area)", - "World/North Africa/MAR/Demography/Forest area (% of land area)", - "World/Latam/MEX/Demography/Forest area (% of land area)", - "World/South Africa/MOZ/Demography/Forest area (% of land area)", - "World/South Africa/NGA/Demography/Forest area (% of land area)", - "World/Europe/NLD/Demography/Forest area (% of land area)", - "World/Latam/PAN/Demography/Forest area (% of land area)", - "World/Latam/PER/Demography/Forest area (% of land area)", - "World/Europe/POL/Demography/Forest area (% of land area)", - "World/South Africa/SEN/Demography/Forest area (% of land area)", - "World/North Africa/TUR/Demography/Forest area (% of land area)", - "World/Pair/USA/Demography/Forest area (% of land area)", - "World/Latam/VEN/Demography/Forest area (% of land area)", - "World/Asia/VNM/Demography/Forest area (% of land area)", - "World/South Africa/ZAF/Demography/Forest area (% of land area)", - "World/Persian Gulf/ARE/Principal/GDP deflator (base year varies by country)", - "World/Europe/AUT/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/AZE/Principal/GDP deflator (base year varies by country)", - "World/Asia/BGD/Principal/GDP deflator (base year varies by country)", - "World/Latam/BRA/Principal/GDP deflator (base year varies by country)", - "World/Latam/CHL/Principal/GDP deflator (base year varies by country)", - "World/Pair/CHN/Principal/GDP deflator (base year varies by country)", - "World/South Africa/CMR/Principal/GDP deflator (base year varies by country)", - "World/Latam/COL/Principal/GDP deflator (base year varies by country)", - "World/Latam/CRI/Principal/GDP deflator (base year varies by country)", - "World/Europe/DEU/Principal/GDP deflator (base year varies by country)", - "World/North Africa/DZA/Principal/GDP deflator (base year varies by country)", - "World/North Africa/EGY/Principal/GDP deflator (base year varies by country)", - "World/Europe/ESP/Principal/GDP deflator (base year varies by country)", - "World/Europe/FRA/Principal/GDP deflator (base year varies by country)", - "World/Europe/GBR/Principal/GDP deflator (base year varies by country)", - "World/South Africa/GHA/Principal/GDP deflator (base year varies by country)", - "World/Europe/GRC/Principal/GDP deflator (base year varies by country)", - "World/Europe/HRV/Principal/GDP deflator (base year varies by country)", - "World/Asia/IDN/Principal/GDP deflator (base year varies by country)", - "World/Asia/IND/Principal/GDP deflator (base year varies by country)", - "World/North Africa/ISR/Principal/GDP deflator (base year varies by country)", - "World/Asia/KOR/Principal/GDP deflator (base year varies by country)", - "World/South Africa/LBR/Principal/GDP deflator (base year varies by country)", - "World/North Africa/MAR/Principal/GDP deflator (base year varies by country)", - "World/Latam/MEX/Principal/GDP deflator (base year varies by country)", - "World/South Africa/MOZ/Principal/GDP deflator (base year varies by country)", - "World/South Africa/NGA/Principal/GDP deflator (base year varies by country)", - "World/Europe/NLD/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/OMN/Principal/GDP deflator (base year varies by country)", - "World/Latam/PAN/Principal/GDP deflator (base year varies by country)", - "World/Latam/PER/Principal/GDP deflator (base year varies by country)", - "World/Asia/PHL/Principal/GDP deflator (base year varies by country)", - "World/Europe/POL/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/QAT/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/SAU/Principal/GDP deflator (base year varies by country)", - "World/South Africa/SEN/Principal/GDP deflator (base year varies by country)", - "World/Asia/THA/Principal/GDP deflator (base year varies by country)", - "World/North Africa/TUR/Principal/GDP deflator (base year varies by country)", - "World/Pair/USA/Principal/GDP deflator (base year varies by country)", - "World/Latam/VEN/Principal/GDP deflator (base year varies by country)", - "World/Asia/VNM/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/YEM/Principal/GDP deflator (base year varies by country)", - "World/South Africa/ZAF/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/ARE/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/AUT/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/AZE/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/BGD/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/BRA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/CHL/Principal/GDP deflator: linked series (base year varies by country)", - "World/Pair/CHN/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/CMR/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/COL/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/CRI/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/DEU/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/DZA/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/EGY/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/ESP/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/FRA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/GBR/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/GHA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/GRC/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/HRV/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/IDN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/IND/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/ISR/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/KOR/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/LBR/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/MAR/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/MEX/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/MOZ/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/NGA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/NLD/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/OMN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/PAN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/PER/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/PHL/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/POL/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/QAT/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/SAU/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/SEN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/THA/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/TUR/Principal/GDP deflator: linked series (base year varies by country)", - "World/Pair/USA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/VEN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/VNM/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/YEM/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/ZAF/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/ARE/Principal/GDP per capita (current US$)", - "World/Latam/ARG/Principal/GDP per capita (current US$)", - "World/Europe/AUT/Principal/GDP per capita (current US$)", - "World/Persian Gulf/AZE/Principal/GDP per capita (current US$)", - "World/Asia/BGD/Principal/GDP per capita (current US$)", - "World/Latam/BRA/Principal/GDP per capita (current US$)", - "World/Latam/CHL/Principal/GDP per capita (current US$)", - "World/Pair/CHN/Principal/GDP per capita (current US$)", - "World/South Africa/CMR/Principal/GDP per capita (current US$)", - "World/Latam/COL/Principal/GDP per capita (current US$)", - "World/Latam/CRI/Principal/GDP per capita (current US$)", - "World/Europe/DEU/Principal/GDP per capita (current US$)", - "World/North Africa/DZA/Principal/GDP per capita (current US$)", - "World/North Africa/EGY/Principal/GDP per capita (current US$)", - "World/Europe/ESP/Principal/GDP per capita (current US$)", - "World/Europe/FRA/Principal/GDP per capita (current US$)", - "World/Europe/GBR/Principal/GDP per capita (current US$)", - "World/South Africa/GHA/Principal/GDP per capita (current US$)", - "World/Europe/GRC/Principal/GDP per capita (current US$)", - "World/Europe/HRV/Principal/GDP per capita (current US$)", - "World/Asia/IDN/Principal/GDP per capita (current US$)", - "World/Asia/IND/Principal/GDP per capita (current US$)", - "World/Persian Gulf/IRQ/Principal/GDP per capita (current US$)", - "World/North Africa/ISR/Principal/GDP per capita (current US$)", - "World/Asia/KOR/Principal/GDP per capita (current US$)", - "World/North Africa/MAR/Principal/GDP per capita (current US$)", - "World/Latam/MEX/Principal/GDP per capita (current US$)", - "World/South Africa/MOZ/Principal/GDP per capita (current US$)", - "World/South Africa/NGA/Principal/GDP per capita (current US$)", - "World/Europe/NLD/Principal/GDP per capita (current US$)", - "World/Persian Gulf/OMN/Principal/GDP per capita (current US$)", - "World/Latam/PAN/Principal/GDP per capita (current US$)", - "World/Latam/PER/Principal/GDP per capita (current US$)", - "World/Asia/PHL/Principal/GDP per capita (current US$)", - "World/Europe/POL/Principal/GDP per capita (current US$)", - "World/Persian Gulf/QAT/Principal/GDP per capita (current US$)", - "World/Persian Gulf/SAU/Principal/GDP per capita (current US$)", - "World/South Africa/SEN/Principal/GDP per capita (current US$)", - "World/Europe/SWE/Principal/GDP per capita (current US$)", - "World/Asia/THA/Principal/GDP per capita (current US$)", - "World/North Africa/TUR/Principal/GDP per capita (current US$)", - "World/Pair/USA/Principal/GDP per capita (current US$)", - "World/Latam/VEN/Principal/GDP per capita (current US$)", - "World/Asia/VNM/Principal/GDP per capita (current US$)", - "World/Persian Gulf/YEM/Principal/GDP per capita (current US$)", - "World/South Africa/ZAF/Principal/GDP per capita (current US$)", - "World/Persian Gulf/ARE/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/ARG/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Persian Gulf/AZE/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/BGD/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/BRA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/CHL/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Pair/CHN/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/CMR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/COL/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/CRI/Principal/GDP per person employed (constant 2017 PPP $)", - "World/North Africa/EGY/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Europe/FRA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Europe/GBR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/GHA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Europe/GRC/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/IDN/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/IND/Principal/GDP per person employed (constant 2017 PPP $)", - "World/North Africa/ISR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/KOR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/North Africa/MAR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/MOZ/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/NGA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Persian Gulf/OMN/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/PAN/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/PER/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/PHL/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Europe/POL/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Persian Gulf/QAT/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Persian Gulf/SAU/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/SEN/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/THA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/North Africa/TUR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Pair/USA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/VNM/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/ZAF/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/ARG/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/AUT/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Persian Gulf/AZE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/BGD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/BRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/CHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Pair/CHN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/CMR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/COL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/CRI/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/DEU/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/North Africa/EGY/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/ESP/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/FRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/GBR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/GHA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/HRV/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/IDN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/IND/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/North Africa/ISR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/KOR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/North Africa/MAR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/MEX/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/MOZ/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/NGA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/NLD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/PAN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/PHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/POL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/SWE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/THA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/North Africa/TUR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Pair/USA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/VNM/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/ZAF/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/AUT/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Persian Gulf/AZE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/BGD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Pair/CHN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/CMR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Latam/COL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Latam/CRI/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/DEU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/North Africa/DZA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/ESP/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/FRA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/GBR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/GHA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/HRV/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/IDN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/IND/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/North Africa/ISR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/KOR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Latam/MEX/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/MOZ/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/NGA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/NLD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Latam/PAN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/PHL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/POL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Persian Gulf/SAU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/SWE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/North Africa/TUR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Pair/USA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/ZAF/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Persian Gulf/ARE/Economy/GNI (current US$)", - "World/Latam/ARG/Economy/GNI (current US$)", - "World/Europe/AUT/Economy/GNI (current US$)", - "World/Persian Gulf/AZE/Economy/GNI (current US$)", - "World/Asia/BGD/Economy/GNI (current US$)", - "World/Latam/BRA/Economy/GNI (current US$)", - "World/Latam/CHL/Economy/GNI (current US$)", - "World/Pair/CHN/Economy/GNI (current US$)", - "World/South Africa/CMR/Economy/GNI (current US$)", - "World/Latam/COL/Economy/GNI (current US$)", - "World/Latam/CRI/Economy/GNI (current US$)", - "World/Europe/DEU/Economy/GNI (current US$)", - "World/North Africa/DZA/Economy/GNI (current US$)", - "World/North Africa/EGY/Economy/GNI (current US$)", - "World/Europe/ESP/Economy/GNI (current US$)", - "World/Europe/FRA/Economy/GNI (current US$)", - "World/Europe/GBR/Economy/GNI (current US$)", - "World/South Africa/GHA/Economy/GNI (current US$)", - "World/Europe/HRV/Economy/GNI (current US$)", - "World/Asia/IDN/Economy/GNI (current US$)", - "World/Asia/IND/Economy/GNI (current US$)", - "World/Persian Gulf/IRQ/Economy/GNI (current US$)", - "World/North Africa/ISR/Economy/GNI (current US$)", - "World/Asia/KOR/Economy/GNI (current US$)", - "World/South Africa/LBR/Economy/GNI (current US$)", - "World/North Africa/MAR/Economy/GNI (current US$)", - "World/Latam/MEX/Economy/GNI (current US$)", - "World/South Africa/MOZ/Economy/GNI (current US$)", - "World/South Africa/NGA/Economy/GNI (current US$)", - "World/Europe/NLD/Economy/GNI (current US$)", - "World/Persian Gulf/OMN/Economy/GNI (current US$)", - "World/Latam/PAN/Economy/GNI (current US$)", - "World/Latam/PER/Economy/GNI (current US$)", - "World/Asia/PHL/Economy/GNI (current US$)", - "World/Europe/POL/Economy/GNI (current US$)", - "World/Persian Gulf/QAT/Economy/GNI (current US$)", - "World/Persian Gulf/SAU/Economy/GNI (current US$)", - "World/South Africa/SEN/Economy/GNI (current US$)", - "World/Europe/SWE/Economy/GNI (current US$)", - "World/Asia/THA/Economy/GNI (current US$)", - "World/North Africa/TUR/Economy/GNI (current US$)", - "World/Pair/USA/Economy/GNI (current US$)", - "World/Latam/VEN/Economy/GNI (current US$)", - "World/Asia/VNM/Economy/GNI (current US$)", - "World/Persian Gulf/YEM/Economy/GNI (current US$)", - "World/South Africa/ZAF/Economy/GNI (current US$)", - "World/Persian Gulf/ARE/Economy/General government final consumption expenditure (current US$)", - "World/Latam/ARG/Economy/General government final consumption expenditure (current US$)", - "World/Europe/AUT/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/General government final consumption expenditure (current US$)", - "World/Asia/BGD/Economy/General government final consumption expenditure (current US$)", - "World/Latam/BRA/Economy/General government final consumption expenditure (current US$)", - "World/Latam/CHL/Economy/General government final consumption expenditure (current US$)", - "World/Pair/CHN/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/CMR/Economy/General government final consumption expenditure (current US$)", - "World/Latam/COL/Economy/General government final consumption expenditure (current US$)", - "World/Latam/CRI/Economy/General government final consumption expenditure (current US$)", - "World/Europe/DEU/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/DZA/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/EGY/Economy/General government final consumption expenditure (current US$)", - "World/Europe/ESP/Economy/General government final consumption expenditure (current US$)", - "World/Europe/FRA/Economy/General government final consumption expenditure (current US$)", - "World/Europe/GBR/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/GHA/Economy/General government final consumption expenditure (current US$)", - "World/Europe/GRC/Economy/General government final consumption expenditure (current US$)", - "World/Europe/HRV/Economy/General government final consumption expenditure (current US$)", - "World/Asia/IDN/Economy/General government final consumption expenditure (current US$)", - "World/Asia/IND/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/IRQ/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/ISR/Economy/General government final consumption expenditure (current US$)", - "World/Asia/KOR/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/MAR/Economy/General government final consumption expenditure (current US$)", - "World/Latam/MEX/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/MOZ/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/NGA/Economy/General government final consumption expenditure (current US$)", - "World/Europe/NLD/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/OMN/Economy/General government final consumption expenditure (current US$)", - "World/Latam/PAN/Economy/General government final consumption expenditure (current US$)", - "World/Latam/PER/Economy/General government final consumption expenditure (current US$)", - "World/Asia/PHL/Economy/General government final consumption expenditure (current US$)", - "World/Europe/POL/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/QAT/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/SAU/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/SEN/Economy/General government final consumption expenditure (current US$)", - "World/Europe/SWE/Economy/General government final consumption expenditure (current US$)", - "World/Asia/THA/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/TUR/Economy/General government final consumption expenditure (current US$)", - "World/Pair/USA/Economy/General government final consumption expenditure (current US$)", - "World/Latam/VEN/Economy/General government final consumption expenditure (current US$)", - "World/Asia/VNM/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/ZAF/Economy/General government final consumption expenditure (current US$)", - "World/Europe/AUT/Exports/Goods exports (BoP, current US$)", - "World/Persian Gulf/AZE/Exports/Goods exports (BoP, current US$)", - "World/Asia/BGD/Exports/Goods exports (BoP, current US$)", - "World/Latam/BRA/Exports/Goods exports (BoP, current US$)", - "World/Latam/CHL/Exports/Goods exports (BoP, current US$)", - "World/Pair/CHN/Exports/Goods exports (BoP, current US$)", - "World/Latam/COL/Exports/Goods exports (BoP, current US$)", - "World/Latam/CRI/Exports/Goods exports (BoP, current US$)", - "World/Europe/DEU/Exports/Goods exports (BoP, current US$)", - "World/Europe/ESP/Exports/Goods exports (BoP, current US$)", - "World/Europe/FRA/Exports/Goods exports (BoP, current US$)", - "World/Europe/GBR/Exports/Goods exports (BoP, current US$)", - "World/South Africa/GHA/Exports/Goods exports (BoP, current US$)", - "World/Asia/IDN/Exports/Goods exports (BoP, current US$)", - "World/Asia/IND/Exports/Goods exports (BoP, current US$)", - "World/Persian Gulf/IRQ/Exports/Goods exports (BoP, current US$)", - "World/North Africa/ISR/Exports/Goods exports (BoP, current US$)", - "World/Asia/KOR/Exports/Goods exports (BoP, current US$)", - "World/South Africa/LBR/Exports/Goods exports (BoP, current US$)", - "World/North Africa/MAR/Exports/Goods exports (BoP, current US$)", - "World/Latam/MEX/Exports/Goods exports (BoP, current US$)", - "World/South Africa/MOZ/Exports/Goods exports (BoP, current US$)", - "World/Europe/NLD/Exports/Goods exports (BoP, current US$)", - "World/Persian Gulf/OMN/Exports/Goods exports (BoP, current US$)", - "World/Latam/PER/Exports/Goods exports (BoP, current US$)", - "World/Asia/PHL/Exports/Goods exports (BoP, current US$)", - "World/Europe/POL/Exports/Goods exports (BoP, current US$)", - "World/Persian Gulf/SAU/Exports/Goods exports (BoP, current US$)", - "World/South Africa/SEN/Exports/Goods exports (BoP, current US$)", - "World/Europe/SWE/Exports/Goods exports (BoP, current US$)", - "World/Asia/THA/Exports/Goods exports (BoP, current US$)", - "World/North Africa/TUR/Exports/Goods exports (BoP, current US$)", - "World/Pair/USA/Exports/Goods exports (BoP, current US$)", - "World/Latam/VEN/Exports/Goods exports (BoP, current US$)", - "World/Asia/VNM/Exports/Goods exports (BoP, current US$)", - "World/South Africa/ZAF/Exports/Goods exports (BoP, current US$)", - "World/Latam/ARG/Imports/Goods imports (BoP, current US$)", - "World/Europe/AUT/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/AZE/Imports/Goods imports (BoP, current US$)", - "World/Asia/BGD/Imports/Goods imports (BoP, current US$)", - "World/Latam/BRA/Imports/Goods imports (BoP, current US$)", - "World/Latam/CHL/Imports/Goods imports (BoP, current US$)", - "World/Pair/CHN/Imports/Goods imports (BoP, current US$)", - "World/Latam/COL/Imports/Goods imports (BoP, current US$)", - "World/Latam/CRI/Imports/Goods imports (BoP, current US$)", - "World/Europe/DEU/Imports/Goods imports (BoP, current US$)", - "World/North Africa/DZA/Imports/Goods imports (BoP, current US$)", - "World/North Africa/EGY/Imports/Goods imports (BoP, current US$)", - "World/Europe/ESP/Imports/Goods imports (BoP, current US$)", - "World/Europe/FRA/Imports/Goods imports (BoP, current US$)", - "World/Europe/GBR/Imports/Goods imports (BoP, current US$)", - "World/South Africa/GHA/Imports/Goods imports (BoP, current US$)", - "World/Europe/GRC/Imports/Goods imports (BoP, current US$)", - "World/Europe/HRV/Imports/Goods imports (BoP, current US$)", - "World/Asia/IDN/Imports/Goods imports (BoP, current US$)", - "World/Asia/IND/Imports/Goods imports (BoP, current US$)", - "World/North Africa/ISR/Imports/Goods imports (BoP, current US$)", - "World/Asia/KOR/Imports/Goods imports (BoP, current US$)", - "World/South Africa/LBR/Imports/Goods imports (BoP, current US$)", - "World/North Africa/MAR/Imports/Goods imports (BoP, current US$)", - "World/Latam/MEX/Imports/Goods imports (BoP, current US$)", - "World/South Africa/MOZ/Imports/Goods imports (BoP, current US$)", - "World/South Africa/NGA/Imports/Goods imports (BoP, current US$)", - "World/Europe/NLD/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/OMN/Imports/Goods imports (BoP, current US$)", - "World/Latam/PER/Imports/Goods imports (BoP, current US$)", - "World/Asia/PHL/Imports/Goods imports (BoP, current US$)", - "World/Europe/POL/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/SAU/Imports/Goods imports (BoP, current US$)", - "World/South Africa/SEN/Imports/Goods imports (BoP, current US$)", - "World/Europe/SWE/Imports/Goods imports (BoP, current US$)", - "World/Asia/THA/Imports/Goods imports (BoP, current US$)", - "World/North Africa/TUR/Imports/Goods imports (BoP, current US$)", - "World/Pair/USA/Imports/Goods imports (BoP, current US$)", - "World/Asia/VNM/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/YEM/Imports/Goods imports (BoP, current US$)", - "World/South Africa/ZAF/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/ARE/Economy/Gross capital formation (current US$)", - "World/Latam/ARG/Economy/Gross capital formation (current US$)", - "World/Europe/AUT/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/AZE/Economy/Gross capital formation (current US$)", - "World/Asia/BGD/Economy/Gross capital formation (current US$)", - "World/Latam/BRA/Economy/Gross capital formation (current US$)", - "World/Latam/CHL/Economy/Gross capital formation (current US$)", - "World/Pair/CHN/Economy/Gross capital formation (current US$)", - "World/South Africa/CMR/Economy/Gross capital formation (current US$)", - "World/Latam/COL/Economy/Gross capital formation (current US$)", - "World/Latam/CRI/Economy/Gross capital formation (current US$)", - "World/Europe/DEU/Economy/Gross capital formation (current US$)", - "World/North Africa/DZA/Economy/Gross capital formation (current US$)", - "World/North Africa/EGY/Economy/Gross capital formation (current US$)", - "World/Europe/ESP/Economy/Gross capital formation (current US$)", - "World/Europe/FRA/Economy/Gross capital formation (current US$)", - "World/Europe/GBR/Economy/Gross capital formation (current US$)", - "World/South Africa/GHA/Economy/Gross capital formation (current US$)", - "World/Europe/HRV/Economy/Gross capital formation (current US$)", - "World/Asia/IDN/Economy/Gross capital formation (current US$)", - "World/Asia/IND/Economy/Gross capital formation (current US$)", - "World/North Africa/ISR/Economy/Gross capital formation (current US$)", - "World/Asia/KOR/Economy/Gross capital formation (current US$)", - "World/North Africa/MAR/Economy/Gross capital formation (current US$)", - "World/Latam/MEX/Economy/Gross capital formation (current US$)", - "World/South Africa/MOZ/Economy/Gross capital formation (current US$)", - "World/South Africa/NGA/Economy/Gross capital formation (current US$)", - "World/Europe/NLD/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/OMN/Economy/Gross capital formation (current US$)", - "World/Latam/PAN/Economy/Gross capital formation (current US$)", - "World/Latam/PER/Economy/Gross capital formation (current US$)", - "World/Asia/PHL/Economy/Gross capital formation (current US$)", - "World/Europe/POL/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/QAT/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/SAU/Economy/Gross capital formation (current US$)", - "World/South Africa/SEN/Economy/Gross capital formation (current US$)", - "World/Europe/SWE/Economy/Gross capital formation (current US$)", - "World/Asia/THA/Economy/Gross capital formation (current US$)", - "World/North Africa/TUR/Economy/Gross capital formation (current US$)", - "World/Pair/USA/Economy/Gross capital formation (current US$)", - "World/Latam/VEN/Economy/Gross capital formation (current US$)", - "World/Asia/VNM/Economy/Gross capital formation (current US$)", - "World/South Africa/ZAF/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/ARE/Economy/Gross domestic savings (current US$)", - "World/Latam/ARG/Economy/Gross domestic savings (current US$)", - "World/Europe/AUT/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/AZE/Economy/Gross domestic savings (current US$)", - "World/Asia/BGD/Economy/Gross domestic savings (current US$)", - "World/Latam/BRA/Economy/Gross domestic savings (current US$)", - "World/Latam/CHL/Economy/Gross domestic savings (current US$)", - "World/Pair/CHN/Economy/Gross domestic savings (current US$)", - "World/South Africa/CMR/Economy/Gross domestic savings (current US$)", - "World/Latam/COL/Economy/Gross domestic savings (current US$)", - "World/Latam/CRI/Economy/Gross domestic savings (current US$)", - "World/Europe/DEU/Economy/Gross domestic savings (current US$)", - "World/North Africa/DZA/Economy/Gross domestic savings (current US$)", - "World/Europe/ESP/Economy/Gross domestic savings (current US$)", - "World/Europe/FRA/Economy/Gross domestic savings (current US$)", - "World/Europe/GBR/Economy/Gross domestic savings (current US$)", - "World/Europe/HRV/Economy/Gross domestic savings (current US$)", - "World/Asia/IDN/Economy/Gross domestic savings (current US$)", - "World/Asia/IND/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/IRQ/Economy/Gross domestic savings (current US$)", - "World/North Africa/ISR/Economy/Gross domestic savings (current US$)", - "World/Asia/KOR/Economy/Gross domestic savings (current US$)", - "World/North Africa/MAR/Economy/Gross domestic savings (current US$)", - "World/Latam/MEX/Economy/Gross domestic savings (current US$)", - "World/South Africa/NGA/Economy/Gross domestic savings (current US$)", - "World/Europe/NLD/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/OMN/Economy/Gross domestic savings (current US$)", - "World/Latam/PAN/Economy/Gross domestic savings (current US$)", - "World/Latam/PER/Economy/Gross domestic savings (current US$)", - "World/Asia/PHL/Economy/Gross domestic savings (current US$)", - "World/Europe/POL/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/QAT/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/SAU/Economy/Gross domestic savings (current US$)", - "World/South Africa/SEN/Economy/Gross domestic savings (current US$)", - "World/Europe/SWE/Economy/Gross domestic savings (current US$)", - "World/Asia/THA/Economy/Gross domestic savings (current US$)", - "World/North Africa/TUR/Economy/Gross domestic savings (current US$)", - "World/Pair/USA/Economy/Gross domestic savings (current US$)", - "World/Asia/VNM/Economy/Gross domestic savings (current US$)", - "World/South Africa/ZAF/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/ARE/Economy/Gross fixed capital formation (current US$)", - "World/Latam/ARG/Economy/Gross fixed capital formation (current US$)", - "World/Europe/AUT/Economy/Gross fixed capital formation (current US$)", - "World/Persian Gulf/AZE/Economy/Gross fixed capital formation (current US$)", - "World/Asia/BGD/Economy/Gross fixed capital formation (current US$)", - "World/Latam/BRA/Economy/Gross fixed capital formation (current US$)", - "World/Latam/CHL/Economy/Gross fixed capital formation (current US$)", - "World/Pair/CHN/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/CMR/Economy/Gross fixed capital formation (current US$)", - "World/Latam/COL/Economy/Gross fixed capital formation (current US$)", - "World/Latam/CRI/Economy/Gross fixed capital formation (current US$)", - "World/Europe/DEU/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/DZA/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/EGY/Economy/Gross fixed capital formation (current US$)", - "World/Europe/FRA/Economy/Gross fixed capital formation (current US$)", - "World/Europe/GBR/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/GHA/Economy/Gross fixed capital formation (current US$)", - "World/Europe/HRV/Economy/Gross fixed capital formation (current US$)", - "World/Asia/IDN/Economy/Gross fixed capital formation (current US$)", - "World/Asia/IND/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/ISR/Economy/Gross fixed capital formation (current US$)", - "World/Asia/KOR/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/MAR/Economy/Gross fixed capital formation (current US$)", - "World/Latam/MEX/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/MOZ/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/NGA/Economy/Gross fixed capital formation (current US$)", - "World/Europe/NLD/Economy/Gross fixed capital formation (current US$)", - "World/Persian Gulf/OMN/Economy/Gross fixed capital formation (current US$)", - "World/Latam/PAN/Economy/Gross fixed capital formation (current US$)", - "World/Latam/PER/Economy/Gross fixed capital formation (current US$)", - "World/Asia/PHL/Economy/Gross fixed capital formation (current US$)", - "World/Europe/POL/Economy/Gross fixed capital formation (current US$)", - "World/Persian Gulf/SAU/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/SEN/Economy/Gross fixed capital formation (current US$)", - "World/Europe/SWE/Economy/Gross fixed capital formation (current US$)", - "World/Asia/THA/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/TUR/Economy/Gross fixed capital formation (current US$)", - "World/Pair/USA/Economy/Gross fixed capital formation (current US$)", - "World/Latam/VEN/Economy/Gross fixed capital formation (current US$)", - "World/Asia/VNM/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/ZAF/Economy/Gross fixed capital formation (current US$)", - "World/Persian Gulf/ARE/Economy/Gross national expenditure (current US$)", - "World/Latam/ARG/Economy/Gross national expenditure (current US$)", - "World/Europe/AUT/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/Gross national expenditure (current US$)", - "World/Asia/BGD/Economy/Gross national expenditure (current US$)", - "World/Latam/BRA/Economy/Gross national expenditure (current US$)", - "World/Latam/CHL/Economy/Gross national expenditure (current US$)", - "World/Pair/CHN/Economy/Gross national expenditure (current US$)", - "World/South Africa/CMR/Economy/Gross national expenditure (current US$)", - "World/Latam/COL/Economy/Gross national expenditure (current US$)", - "World/Latam/CRI/Economy/Gross national expenditure (current US$)", - "World/Europe/DEU/Economy/Gross national expenditure (current US$)", - "World/North Africa/DZA/Economy/Gross national expenditure (current US$)", - "World/North Africa/EGY/Economy/Gross national expenditure (current US$)", - "World/Europe/ESP/Economy/Gross national expenditure (current US$)", - "World/Europe/FRA/Economy/Gross national expenditure (current US$)", - "World/Europe/GBR/Economy/Gross national expenditure (current US$)", - "World/South Africa/GHA/Economy/Gross national expenditure (current US$)", - "World/Europe/GRC/Economy/Gross national expenditure (current US$)", - "World/Europe/HRV/Economy/Gross national expenditure (current US$)", - "World/Asia/IDN/Economy/Gross national expenditure (current US$)", - "World/Asia/IND/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/IRQ/Economy/Gross national expenditure (current US$)", - "World/North Africa/ISR/Economy/Gross national expenditure (current US$)", - "World/Asia/KOR/Economy/Gross national expenditure (current US$)", - "World/North Africa/MAR/Economy/Gross national expenditure (current US$)", - "World/Latam/MEX/Economy/Gross national expenditure (current US$)", - "World/South Africa/MOZ/Economy/Gross national expenditure (current US$)", - "World/South Africa/NGA/Economy/Gross national expenditure (current US$)", - "World/Europe/NLD/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/OMN/Economy/Gross national expenditure (current US$)", - "World/Latam/PAN/Economy/Gross national expenditure (current US$)", - "World/Latam/PER/Economy/Gross national expenditure (current US$)", - "World/Asia/PHL/Economy/Gross national expenditure (current US$)", - "World/Europe/POL/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/QAT/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/SAU/Economy/Gross national expenditure (current US$)", - "World/South Africa/SEN/Economy/Gross national expenditure (current US$)", - "World/Europe/SWE/Economy/Gross national expenditure (current US$)", - "World/Asia/THA/Economy/Gross national expenditure (current US$)", - "World/North Africa/TUR/Economy/Gross national expenditure (current US$)", - "World/Pair/USA/Economy/Gross national expenditure (current US$)", - "World/Latam/VEN/Economy/Gross national expenditure (current US$)", - "World/Asia/VNM/Economy/Gross national expenditure (current US$)", - "World/South Africa/ZAF/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/ARE/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/AUT/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Persian Gulf/AZE/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/BGD/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/BRA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/CHL/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Pair/CHN/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/CMR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/COL/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/CRI/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/DEU/Economy/Gross national expenditure deflator (base year varies by country)", - "World/North Africa/DZA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/North Africa/EGY/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/ESP/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/FRA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/GBR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/GHA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/GRC/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/IND/Economy/Gross national expenditure deflator (base year varies by country)", - "World/North Africa/ISR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/KOR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/North Africa/MAR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/MEX/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/MOZ/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/NGA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/NLD/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Persian Gulf/OMN/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/PAN/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/PER/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/PHL/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/POL/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Persian Gulf/SAU/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Pair/USA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/VEN/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/VNM/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/ZAF/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/ARG/Economy/Gross savings (current US$)", - "World/Europe/AUT/Economy/Gross savings (current US$)", - "World/Persian Gulf/AZE/Economy/Gross savings (current US$)", - "World/Asia/BGD/Economy/Gross savings (current US$)", - "World/Latam/BRA/Economy/Gross savings (current US$)", - "World/Latam/CHL/Economy/Gross savings (current US$)", - "World/Pair/CHN/Economy/Gross savings (current US$)", - "World/South Africa/CMR/Economy/Gross savings (current US$)", - "World/Latam/COL/Economy/Gross savings (current US$)", - "World/Latam/CRI/Economy/Gross savings (current US$)", - "World/Europe/DEU/Economy/Gross savings (current US$)", - "World/North Africa/EGY/Economy/Gross savings (current US$)", - "World/Europe/ESP/Economy/Gross savings (current US$)", - "World/Europe/FRA/Economy/Gross savings (current US$)", - "World/Europe/GBR/Economy/Gross savings (current US$)", - "World/South Africa/GHA/Economy/Gross savings (current US$)", - "World/Europe/HRV/Economy/Gross savings (current US$)", - "World/Asia/IDN/Economy/Gross savings (current US$)", - "World/Asia/IND/Economy/Gross savings (current US$)", - "World/North Africa/ISR/Economy/Gross savings (current US$)", - "World/Asia/KOR/Economy/Gross savings (current US$)", - "World/North Africa/MAR/Economy/Gross savings (current US$)", - "World/Latam/MEX/Economy/Gross savings (current US$)", - "World/South Africa/MOZ/Economy/Gross savings (current US$)", - "World/South Africa/NGA/Economy/Gross savings (current US$)", - "World/Europe/NLD/Economy/Gross savings (current US$)", - "World/Latam/PAN/Economy/Gross savings (current US$)", - "World/Latam/PER/Economy/Gross savings (current US$)", - "World/Asia/PHL/Economy/Gross savings (current US$)", - "World/Europe/POL/Economy/Gross savings (current US$)", - "World/Persian Gulf/SAU/Economy/Gross savings (current US$)", - "World/South Africa/SEN/Economy/Gross savings (current US$)", - "World/Europe/SWE/Economy/Gross savings (current US$)", - "World/Asia/THA/Economy/Gross savings (current US$)", - "World/North Africa/TUR/Economy/Gross savings (current US$)", - "World/Pair/USA/Economy/Gross savings (current US$)", - "World/Asia/VNM/Economy/Gross savings (current US$)", - "World/South Africa/ZAF/Economy/Gross savings (current US$)", - "World/Latam/ARG/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/AUT/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/AZE/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/BGD/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/BRA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/CHL/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/CMR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/COL/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/CRI/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/DEU/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/DZA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/EGY/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/ESP/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/FRA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/GBR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/GHA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/GRC/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/HRV/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/IDN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/IND/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/IRQ/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/ISR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/KOR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/MAR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/MEX/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/MOZ/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/NGA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/NLD/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/OMN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/PAN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/PER/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/POL/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/SAU/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/SEN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/SWE/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/TUR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Pair/USA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/VEN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/VNM/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/YEM/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/ZAF/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/AUT/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Pair/CHN/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/DEU/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/ESP/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/FRA/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/GBR/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IND/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/ISR/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/MEX/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/POL/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/SAU/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/SWE/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Pair/USA/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/VEN/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/ZAF/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/ARE/Health/Hospital beds (per 1,000 people)", - "World/Latam/ARG/Health/Hospital beds (per 1,000 people)", - "World/Europe/AUT/Health/Hospital beds (per 1,000 people)", - "World/Persian Gulf/AZE/Health/Hospital beds (per 1,000 people)", - "World/Asia/BGD/Health/Hospital beds (per 1,000 people)", - "World/Latam/BRA/Health/Hospital beds (per 1,000 people)", - "World/Latam/CHL/Health/Hospital beds (per 1,000 people)", - "World/Pair/CHN/Health/Hospital beds (per 1,000 people)", - "World/South Africa/CMR/Health/Hospital beds (per 1,000 people)", - "World/Latam/COL/Health/Hospital beds (per 1,000 people)", - "World/Latam/CRI/Health/Hospital beds (per 1,000 people)", - "World/Europe/DEU/Health/Hospital beds (per 1,000 people)", - "World/North Africa/EGY/Health/Hospital beds (per 1,000 people)", - "World/Europe/ESP/Health/Hospital beds (per 1,000 people)", - "World/Europe/FRA/Health/Hospital beds (per 1,000 people)", - "World/Europe/GBR/Health/Hospital beds (per 1,000 people)", - "World/North Africa/ISR/Health/Hospital beds (per 1,000 people)", - "World/Asia/KOR/Health/Hospital beds (per 1,000 people)", - "World/South Africa/LBR/Health/Hospital beds (per 1,000 people)", - "World/Latam/MEX/Health/Hospital beds (per 1,000 people)", - "World/South Africa/MOZ/Health/Hospital beds (per 1,000 people)", - "World/South Africa/NGA/Health/Hospital beds (per 1,000 people)", - "World/Europe/NLD/Health/Hospital beds (per 1,000 people)", - "World/Persian Gulf/OMN/Health/Hospital beds (per 1,000 people)", - "World/Persian Gulf/SAU/Health/Hospital beds (per 1,000 people)", - "World/North Africa/TUR/Health/Hospital beds (per 1,000 people)", - "World/Pair/USA/Health/Hospital beds (per 1,000 people)", - "World/South Africa/ZAF/Health/Hospital beds (per 1,000 people)", - "World/Persian Gulf/ARE/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/ARG/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/AUT/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/BGD/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/BRA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/CHL/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Pair/CHN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/CMR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/COL/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/CRI/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/DEU/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/DZA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/EGY/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/ESP/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/FRA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/GBR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/GHA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/GRC/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/HRV/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/IDN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/IND/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/IRQ/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/ISR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/KOR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/MAR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/MEX/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/MOZ/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/NGA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/NLD/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/OMN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/PAN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/PER/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/PHL/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/POL/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/QAT/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/SAU/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/SEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/SWE/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/THA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/TUR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Pair/USA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/VEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/VNM/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/ZAF/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/AUT/Exports/ICT service exports (BoP, current US$)", - "World/Asia/BGD/Exports/ICT service exports (BoP, current US$)", - "World/Latam/CHL/Exports/ICT service exports (BoP, current US$)", - "World/Pair/CHN/Exports/ICT service exports (BoP, current US$)", - "World/South Africa/CMR/Exports/ICT service exports (BoP, current US$)", - "World/Latam/CRI/Exports/ICT service exports (BoP, current US$)", - "World/Europe/DEU/Exports/ICT service exports (BoP, current US$)", - "World/North Africa/DZA/Exports/ICT service exports (BoP, current US$)", - "World/Europe/ESP/Exports/ICT service exports (BoP, current US$)", - "World/Europe/GBR/Exports/ICT service exports (BoP, current US$)", - "World/Europe/GRC/Exports/ICT service exports (BoP, current US$)", - "World/Europe/HRV/Exports/ICT service exports (BoP, current US$)", - "World/Asia/IND/Exports/ICT service exports (BoP, current US$)", - "World/North Africa/ISR/Exports/ICT service exports (BoP, current US$)", - "World/Asia/KOR/Exports/ICT service exports (BoP, current US$)", - "World/North Africa/MAR/Exports/ICT service exports (BoP, current US$)", - "World/Latam/MEX/Exports/ICT service exports (BoP, current US$)", - "World/South Africa/NGA/Exports/ICT service exports (BoP, current US$)", - "World/Europe/NLD/Exports/ICT service exports (BoP, current US$)", - "World/Persian Gulf/OMN/Exports/ICT service exports (BoP, current US$)", - "World/Latam/PAN/Exports/ICT service exports (BoP, current US$)", - "World/Europe/POL/Exports/ICT service exports (BoP, current US$)", - "World/Persian Gulf/QAT/Exports/ICT service exports (BoP, current US$)", - "World/Persian Gulf/SAU/Exports/ICT service exports (BoP, current US$)", - "World/Europe/SWE/Exports/ICT service exports (BoP, current US$)", - "World/Asia/THA/Exports/ICT service exports (BoP, current US$)", - "World/Pair/USA/Exports/ICT service exports (BoP, current US$)", - "World/South Africa/ZAF/Exports/ICT service exports (BoP, current US$)", - "World/Persian Gulf/ARE/Imports/Import unit value index (2000 = 100)", - "World/Europe/AUT/Imports/Import unit value index (2000 = 100)", - "World/Persian Gulf/AZE/Imports/Import unit value index (2000 = 100)", - "World/Asia/BGD/Imports/Import unit value index (2000 = 100)", - "World/Latam/CRI/Imports/Import unit value index (2000 = 100)", - "World/Europe/DEU/Imports/Import unit value index (2000 = 100)", - "World/North Africa/EGY/Imports/Import unit value index (2000 = 100)", - "World/Europe/ESP/Imports/Import unit value index (2000 = 100)", - "World/Europe/FRA/Imports/Import unit value index (2000 = 100)", - "World/Europe/GRC/Imports/Import unit value index (2000 = 100)", - "World/Europe/HRV/Imports/Import unit value index (2000 = 100)", - "World/Latam/MEX/Imports/Import unit value index (2000 = 100)", - "World/South Africa/MOZ/Imports/Import unit value index (2000 = 100)", - "World/Europe/NLD/Imports/Import unit value index (2000 = 100)", - "World/Latam/PAN/Imports/Import unit value index (2000 = 100)", - "World/Europe/POL/Imports/Import unit value index (2000 = 100)", - "World/Persian Gulf/QAT/Imports/Import unit value index (2000 = 100)", - "World/Europe/SWE/Imports/Import unit value index (2000 = 100)", - "World/Asia/THA/Imports/Import unit value index (2000 = 100)", - "World/Persian Gulf/ARE/Imports/Import value index (2000 = 100)", - "World/Latam/ARG/Imports/Import value index (2000 = 100)", - "World/Europe/AUT/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/AZE/Imports/Import value index (2000 = 100)", - "World/Asia/BGD/Imports/Import value index (2000 = 100)", - "World/Latam/BRA/Imports/Import value index (2000 = 100)", - "World/Latam/CHL/Imports/Import value index (2000 = 100)", - "World/Pair/CHN/Imports/Import value index (2000 = 100)", - "World/Latam/COL/Imports/Import value index (2000 = 100)", - "World/Latam/CRI/Imports/Import value index (2000 = 100)", - "World/Europe/DEU/Imports/Import value index (2000 = 100)", - "World/North Africa/DZA/Imports/Import value index (2000 = 100)", - "World/North Africa/EGY/Imports/Import value index (2000 = 100)", - "World/Europe/ESP/Imports/Import value index (2000 = 100)", - "World/Europe/FRA/Imports/Import value index (2000 = 100)", - "World/Europe/GBR/Imports/Import value index (2000 = 100)", - "World/Europe/GRC/Imports/Import value index (2000 = 100)", - "World/Europe/HRV/Imports/Import value index (2000 = 100)", - "World/Asia/IDN/Imports/Import value index (2000 = 100)", - "World/Asia/IND/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/IRQ/Imports/Import value index (2000 = 100)", - "World/North Africa/ISR/Imports/Import value index (2000 = 100)", - "World/Asia/KOR/Imports/Import value index (2000 = 100)", - "World/North Africa/MAR/Imports/Import value index (2000 = 100)", - "World/Latam/MEX/Imports/Import value index (2000 = 100)", - "World/South Africa/MOZ/Imports/Import value index (2000 = 100)", - "World/South Africa/NGA/Imports/Import value index (2000 = 100)", - "World/Europe/NLD/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/OMN/Imports/Import value index (2000 = 100)", - "World/Latam/PAN/Imports/Import value index (2000 = 100)", - "World/Latam/PER/Imports/Import value index (2000 = 100)", - "World/Asia/PHL/Imports/Import value index (2000 = 100)", - "World/Europe/POL/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/QAT/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/SAU/Imports/Import value index (2000 = 100)", - "World/South Africa/SEN/Imports/Import value index (2000 = 100)", - "World/Europe/SWE/Imports/Import value index (2000 = 100)", - "World/Asia/THA/Imports/Import value index (2000 = 100)", - "World/North Africa/TUR/Imports/Import value index (2000 = 100)", - "World/Pair/USA/Imports/Import value index (2000 = 100)", - "World/Asia/VNM/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/YEM/Imports/Import value index (2000 = 100)", - "World/South Africa/ZAF/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/ARE/Imports/Import volume index (2000 = 100)", - "World/Latam/ARG/Imports/Import volume index (2000 = 100)", - "World/Europe/AUT/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/AZE/Imports/Import volume index (2000 = 100)", - "World/Asia/BGD/Imports/Import volume index (2000 = 100)", - "World/Latam/BRA/Imports/Import volume index (2000 = 100)", - "World/Latam/CHL/Imports/Import volume index (2000 = 100)", - "World/Pair/CHN/Imports/Import volume index (2000 = 100)", - "World/Latam/COL/Imports/Import volume index (2000 = 100)", - "World/Latam/CRI/Imports/Import volume index (2000 = 100)", - "World/Europe/DEU/Imports/Import volume index (2000 = 100)", - "World/North Africa/DZA/Imports/Import volume index (2000 = 100)", - "World/North Africa/EGY/Imports/Import volume index (2000 = 100)", - "World/Europe/GBR/Imports/Import volume index (2000 = 100)", - "World/Asia/IDN/Imports/Import volume index (2000 = 100)", - "World/Asia/IND/Imports/Import volume index (2000 = 100)", - "World/North Africa/ISR/Imports/Import volume index (2000 = 100)", - "World/Asia/KOR/Imports/Import volume index (2000 = 100)", - "World/North Africa/MAR/Imports/Import volume index (2000 = 100)", - "World/Latam/MEX/Imports/Import volume index (2000 = 100)", - "World/South Africa/MOZ/Imports/Import volume index (2000 = 100)", - "World/South Africa/NGA/Imports/Import volume index (2000 = 100)", - "World/Europe/NLD/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/OMN/Imports/Import volume index (2000 = 100)", - "World/Latam/PAN/Imports/Import volume index (2000 = 100)", - "World/Latam/PER/Imports/Import volume index (2000 = 100)", - "World/Asia/PHL/Imports/Import volume index (2000 = 100)", - "World/Europe/POL/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/QAT/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/SAU/Imports/Import volume index (2000 = 100)", - "World/South Africa/SEN/Imports/Import volume index (2000 = 100)", - "World/Asia/THA/Imports/Import volume index (2000 = 100)", - "World/North Africa/TUR/Imports/Import volume index (2000 = 100)", - "World/Pair/USA/Imports/Import volume index (2000 = 100)", - "World/Latam/VEN/Imports/Import volume index (2000 = 100)", - "World/Asia/VNM/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/YEM/Imports/Import volume index (2000 = 100)", - "World/South Africa/ZAF/Imports/Import volume index (2000 = 100)", - "World/Latam/ARG/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/AUT/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/AZE/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/BGD/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/BRA/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/CHL/Imports/Imports of goods and services (BoP, current US$)", - "World/Pair/CHN/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/CMR/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/COL/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/CRI/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/DEU/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/DZA/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/EGY/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/ESP/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/FRA/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/GBR/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/GHA/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/GRC/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/HRV/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/IDN/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/IND/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/ISR/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/KOR/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/MAR/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/MEX/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/MOZ/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/NGA/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/NLD/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/OMN/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/PAN/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/PER/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/PHL/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/POL/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/SAU/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/SEN/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/SWE/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/THA/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/TUR/Imports/Imports of goods and services (BoP, current US$)", - "World/Pair/USA/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/VNM/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/YEM/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/ZAF/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/ARE/Imports/Imports of goods and services (current US$)", - "World/Latam/ARG/Imports/Imports of goods and services (current US$)", - "World/Europe/AUT/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/AZE/Imports/Imports of goods and services (current US$)", - "World/Asia/BGD/Imports/Imports of goods and services (current US$)", - "World/Latam/BRA/Imports/Imports of goods and services (current US$)", - "World/Latam/CHL/Imports/Imports of goods and services (current US$)", - "World/Pair/CHN/Imports/Imports of goods and services (current US$)", - "World/Latam/COL/Imports/Imports of goods and services (current US$)", - "World/Latam/CRI/Imports/Imports of goods and services (current US$)", - "World/Europe/DEU/Imports/Imports of goods and services (current US$)", - "World/North Africa/DZA/Imports/Imports of goods and services (current US$)", - "World/North Africa/EGY/Imports/Imports of goods and services (current US$)", - "World/Europe/ESP/Imports/Imports of goods and services (current US$)", - "World/Europe/FRA/Imports/Imports of goods and services (current US$)", - "World/Europe/GBR/Imports/Imports of goods and services (current US$)", - "World/South Africa/GHA/Imports/Imports of goods and services (current US$)", - "World/Europe/GRC/Imports/Imports of goods and services (current US$)", - "World/Europe/HRV/Imports/Imports of goods and services (current US$)", - "World/Asia/IDN/Imports/Imports of goods and services (current US$)", - "World/Asia/IND/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/IRQ/Imports/Imports of goods and services (current US$)", - "World/North Africa/ISR/Imports/Imports of goods and services (current US$)", - "World/Asia/KOR/Imports/Imports of goods and services (current US$)", - "World/North Africa/MAR/Imports/Imports of goods and services (current US$)", - "World/Latam/MEX/Imports/Imports of goods and services (current US$)", - "World/South Africa/MOZ/Imports/Imports of goods and services (current US$)", - "World/South Africa/NGA/Imports/Imports of goods and services (current US$)", - "World/Europe/NLD/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/OMN/Imports/Imports of goods and services (current US$)", - "World/Latam/PAN/Imports/Imports of goods and services (current US$)", - "World/Latam/PER/Imports/Imports of goods and services (current US$)", - "World/Asia/PHL/Imports/Imports of goods and services (current US$)", - "World/Europe/POL/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/QAT/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/SAU/Imports/Imports of goods and services (current US$)", - "World/South Africa/SEN/Imports/Imports of goods and services (current US$)", - "World/Europe/SWE/Imports/Imports of goods and services (current US$)", - "World/Asia/THA/Imports/Imports of goods and services (current US$)", - "World/North Africa/TUR/Imports/Imports of goods and services (current US$)", - "World/Pair/USA/Imports/Imports of goods and services (current US$)", - "World/Latam/VEN/Imports/Imports of goods and services (current US$)", - "World/Asia/VNM/Imports/Imports of goods and services (current US$)", - "World/South Africa/ZAF/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/ARE/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/AUT/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/AZE/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Latam/BRA/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Pair/CHN/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/CMR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Latam/CRI/Health/Incidence of tuberculosis (per 100,000 people)", - "World/North Africa/EGY/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/ESP/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/GBR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/GHA/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/HRV/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Asia/IDN/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Asia/IND/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/IRQ/Health/Incidence of tuberculosis (per 100,000 people)", - "World/North Africa/ISR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/LBR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/MOZ/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/OMN/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Latam/PER/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/POL/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/QAT/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/SAU/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/SEN/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Asia/THA/Health/Incidence of tuberculosis (per 100,000 people)", - "World/North Africa/TUR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Pair/USA/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Asia/VNM/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/YEM/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/ARE/Economy/Industry (including construction), value added (current US$)", - "World/Latam/ARG/Economy/Industry (including construction), value added (current US$)", - "World/Europe/AUT/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/AZE/Economy/Industry (including construction), value added (current US$)", - "World/Asia/BGD/Economy/Industry (including construction), value added (current US$)", - "World/Latam/BRA/Economy/Industry (including construction), value added (current US$)", - "World/Latam/CHL/Economy/Industry (including construction), value added (current US$)", - "World/Pair/CHN/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/CMR/Economy/Industry (including construction), value added (current US$)", - "World/Latam/COL/Economy/Industry (including construction), value added (current US$)", - "World/Latam/CRI/Economy/Industry (including construction), value added (current US$)", - "World/Europe/DEU/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/DZA/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/EGY/Economy/Industry (including construction), value added (current US$)", - "World/Europe/ESP/Economy/Industry (including construction), value added (current US$)", - "World/Europe/FRA/Economy/Industry (including construction), value added (current US$)", - "World/Europe/GBR/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/GHA/Economy/Industry (including construction), value added (current US$)", - "World/Europe/GRC/Economy/Industry (including construction), value added (current US$)", - "World/Europe/HRV/Economy/Industry (including construction), value added (current US$)", - "World/Asia/IDN/Economy/Industry (including construction), value added (current US$)", - "World/Asia/IND/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/IRQ/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/ISR/Economy/Industry (including construction), value added (current US$)", - "World/Asia/KOR/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/LBR/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/MAR/Economy/Industry (including construction), value added (current US$)", - "World/Latam/MEX/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/MOZ/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/NGA/Economy/Industry (including construction), value added (current US$)", - "World/Europe/NLD/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/OMN/Economy/Industry (including construction), value added (current US$)", - "World/Latam/PAN/Economy/Industry (including construction), value added (current US$)", - "World/Latam/PER/Economy/Industry (including construction), value added (current US$)", - "World/Asia/PHL/Economy/Industry (including construction), value added (current US$)", - "World/Europe/POL/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/SAU/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/SEN/Economy/Industry (including construction), value added (current US$)", - "World/Europe/SWE/Economy/Industry (including construction), value added (current US$)", - "World/Asia/THA/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/TUR/Economy/Industry (including construction), value added (current US$)", - "World/Pair/USA/Economy/Industry (including construction), value added (current US$)", - "World/Latam/VEN/Economy/Industry (including construction), value added (current US$)", - "World/Asia/VNM/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/YEM/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/ZAF/Economy/Industry (including construction), value added (current US$)", - "World/Latam/BRA/Mortality/Intentional homicides (per 100,000 people)", - "World/Pair/CHN/Mortality/Intentional homicides (per 100,000 people)", - "World/Latam/COL/Mortality/Intentional homicides (per 100,000 people)", - "World/Latam/CRI/Mortality/Intentional homicides (per 100,000 people)", - "World/North Africa/EGY/Mortality/Intentional homicides (per 100,000 people)", - "World/Europe/ESP/Mortality/Intentional homicides (per 100,000 people)", - "World/Europe/GBR/Mortality/Intentional homicides (per 100,000 people)", - "World/Asia/IDN/Mortality/Intentional homicides (per 100,000 people)", - "World/Asia/IND/Mortality/Intentional homicides (per 100,000 people)", - "World/Persian Gulf/IRQ/Mortality/Intentional homicides (per 100,000 people)", - "World/North Africa/ISR/Mortality/Intentional homicides (per 100,000 people)", - "World/South Africa/MOZ/Mortality/Intentional homicides (per 100,000 people)", - "World/Europe/NLD/Mortality/Intentional homicides (per 100,000 people)", - "World/Latam/PAN/Mortality/Intentional homicides (per 100,000 people)", - "World/Latam/PER/Mortality/Intentional homicides (per 100,000 people)", - "World/Europe/POL/Mortality/Intentional homicides (per 100,000 people)", - "World/Asia/THA/Mortality/Intentional homicides (per 100,000 people)", - "World/Asia/VNM/Mortality/Intentional homicides (per 100,000 people)", - "World/Persian Gulf/YEM/Mortality/Intentional homicides (per 100,000 people)", - "World/South Africa/ZAF/Mortality/Intentional homicides (per 100,000 people)", - "World/Persian Gulf/ARE/Migration/International migrant stock (% of population)", - "World/Europe/AUT/Migration/International migrant stock (% of population)", - "World/Persian Gulf/AZE/Migration/International migrant stock (% of population)", - "World/Latam/CHL/Migration/International migrant stock (% of population)", - "World/Pair/CHN/Migration/International migrant stock (% of population)", - "World/Europe/DEU/Migration/International migrant stock (% of population)", - "World/North Africa/DZA/Migration/International migrant stock (% of population)", - "World/Europe/ESP/Migration/International migrant stock (% of population)", - "World/Europe/FRA/Migration/International migrant stock (% of population)", - "World/Europe/GBR/Migration/International migrant stock (% of population)", - "World/Europe/GRC/Migration/International migrant stock (% of population)", - "World/Europe/HRV/Migration/International migrant stock (% of population)", - "World/Asia/IND/Migration/International migrant stock (% of population)", - "World/North Africa/ISR/Migration/International migrant stock (% of population)", - "World/Asia/KOR/Migration/International migrant stock (% of population)", - "World/North Africa/MAR/Migration/International migrant stock (% of population)", - "World/Latam/MEX/Migration/International migrant stock (% of population)", - "World/South Africa/MOZ/Migration/International migrant stock (% of population)", - "World/South Africa/NGA/Migration/International migrant stock (% of population)", - "World/Europe/NLD/Migration/International migrant stock (% of population)", - "World/Latam/PAN/Migration/International migrant stock (% of population)", - "World/Latam/PER/Migration/International migrant stock (% of population)", - "World/Europe/POL/Migration/International migrant stock (% of population)", - "World/Persian Gulf/SAU/Migration/International migrant stock (% of population)", - "World/South Africa/SEN/Migration/International migrant stock (% of population)", - "World/Europe/SWE/Migration/International migrant stock (% of population)", - "World/Asia/THA/Migration/International migrant stock (% of population)", - "World/North Africa/TUR/Migration/International migrant stock (% of population)", - "World/Pair/USA/Migration/International migrant stock (% of population)", - "World/Asia/VNM/Migration/International migrant stock (% of population)", - "World/Persian Gulf/YEM/Migration/International migrant stock (% of population)", - "World/Persian Gulf/ARE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/AUT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/AZE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/BRA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/CHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Pair/CHN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/COL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/CRI/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/DEU/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/North Africa/DZA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/North Africa/EGY/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/GHA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/GRC/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/IDN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/IND/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/IRQ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/North Africa/ISR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/KOR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/LBR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/MEX/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/MOZ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/NGA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/NLD/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/OMN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/PAN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/PER/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/PHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/POL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/QAT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/SWE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/North Africa/TUR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Pair/USA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/VEN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/VNM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/YEM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/ZAF/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/ARE/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/ARG/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/AZE/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/BGD/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/CHL/Mortality/Lifetime risk of maternal death (%)", - "World/Pair/CHN/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/CMR/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/COL/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/CRI/Mortality/Lifetime risk of maternal death (%)", - "World/North Africa/EGY/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/ESP/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/GBR/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/GHA/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/GRC/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/HRV/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/IDN/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/IND/Mortality/Lifetime risk of maternal death (%)", - "World/North Africa/ISR/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/KOR/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/LBR/Mortality/Lifetime risk of maternal death (%)", - "World/North Africa/MAR/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/MEX/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/MOZ/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/NGA/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/NLD/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/PAN/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/PER/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/PHL/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/POL/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/QAT/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/SAU/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/SEN/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/THA/Mortality/Lifetime risk of maternal death (%)", - "World/North Africa/TUR/Mortality/Lifetime risk of maternal death (%)", - "World/Pair/USA/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/VNM/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/YEM/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/ARE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/ARG/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/AZE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/BGD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/CHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Pair/CHN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/CMR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/COL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/CRI/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/North Africa/EGY/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/ESP/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/GBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/GHA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/GRC/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/HRV/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/IDN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/IND/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/North Africa/ISR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/KOR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/LBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/North Africa/MAR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/MEX/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/MOZ/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/NGA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/NLD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/PAN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/PER/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/PHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/POL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/QAT/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/SAU/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/SEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/THA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/North Africa/TUR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Pair/USA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/VEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/VNM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/YEM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/ARE/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/ARG/Industry/Livestock production index (2014-2016 = 100)", - "World/Europe/AUT/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/AZE/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/BGD/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/BRA/Industry/Livestock production index (2014-2016 = 100)", - "World/Pair/CHN/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/COL/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/CRI/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/DZA/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/EGY/Industry/Livestock production index (2014-2016 = 100)", - "World/Europe/GBR/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/GHA/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/IDN/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/IND/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/ISR/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/KOR/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/LBR/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/MAR/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/MEX/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/MOZ/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/NGA/Industry/Livestock production index (2014-2016 = 100)", - "World/Europe/NLD/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/OMN/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/PAN/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/PER/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/PHL/Industry/Livestock production index (2014-2016 = 100)", - "World/Europe/POL/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/QAT/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/SAU/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/SEN/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/THA/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/TUR/Industry/Livestock production index (2014-2016 = 100)", - "World/Pair/USA/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/VEN/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/VNM/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/YEM/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/ZAF/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/ARE/Health/Low-birthweight babies (% of births)", - "World/Asia/BGD/Health/Low-birthweight babies (% of births)", - "World/Latam/BRA/Health/Low-birthweight babies (% of births)", - "World/Latam/CHL/Health/Low-birthweight babies (% of births)", - "World/Pair/CHN/Health/Low-birthweight babies (% of births)", - "World/South Africa/CMR/Health/Low-birthweight babies (% of births)", - "World/Latam/COL/Health/Low-birthweight babies (% of births)", - "World/Latam/CRI/Health/Low-birthweight babies (% of births)", - "World/North Africa/DZA/Health/Low-birthweight babies (% of births)", - "World/Europe/ESP/Health/Low-birthweight babies (% of births)", - "World/Europe/FRA/Health/Low-birthweight babies (% of births)", - "World/Europe/GBR/Health/Low-birthweight babies (% of births)", - "World/South Africa/GHA/Health/Low-birthweight babies (% of births)", - "World/Europe/HRV/Health/Low-birthweight babies (% of births)", - "World/Asia/IDN/Health/Low-birthweight babies (% of births)", - "World/North Africa/ISR/Health/Low-birthweight babies (% of births)", - "World/Asia/KOR/Health/Low-birthweight babies (% of births)", - "World/North Africa/MAR/Health/Low-birthweight babies (% of births)", - "World/Latam/MEX/Health/Low-birthweight babies (% of births)", - "World/South Africa/MOZ/Health/Low-birthweight babies (% of births)", - "World/Europe/NLD/Health/Low-birthweight babies (% of births)", - "World/Persian Gulf/OMN/Health/Low-birthweight babies (% of births)", - "World/Latam/PAN/Health/Low-birthweight babies (% of births)", - "World/Latam/PER/Health/Low-birthweight babies (% of births)", - "World/Asia/PHL/Health/Low-birthweight babies (% of births)", - "World/Persian Gulf/QAT/Health/Low-birthweight babies (% of births)", - "World/South Africa/SEN/Health/Low-birthweight babies (% of births)", - "World/Asia/THA/Health/Low-birthweight babies (% of births)", - "World/North Africa/TUR/Health/Low-birthweight babies (% of births)", - "World/Asia/VNM/Health/Low-birthweight babies (% of births)", - "World/South Africa/ZAF/Health/Low-birthweight babies (% of births)", - "World/Persian Gulf/ARE/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/BGD/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Latam/CHL/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Pair/CHN/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Latam/COL/Economy/Market capitalization of listed domestic companies (current US$)", - "World/South Africa/GHA/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Europe/HRV/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/IDN/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/IND/Economy/Market capitalization of listed domestic companies (current US$)", - "World/North Africa/ISR/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/KOR/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Latam/MEX/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Persian Gulf/OMN/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Latam/PAN/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Europe/POL/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Persian Gulf/QAT/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Persian Gulf/SAU/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/THA/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Pair/USA/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/VNM/Economy/Market capitalization of listed domestic companies (current US$)", - "World/South Africa/ZAF/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Persian Gulf/ARE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/ARG/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/AZE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/BGD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/CHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Pair/CHN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/CMR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/CRI/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/DZA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/EGY/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/ESP/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/GBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/GHA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/HRV/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/IDN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/IND/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/ISR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/KOR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/LBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/MAR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/MEX/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/MOZ/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/NGA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/NLD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/PAN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/PER/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/PHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/POL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/QAT/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/SAU/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/SEN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/THA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/TUR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Pair/USA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/VNM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/YEM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/ARE/Exports/Merchandise exports (current US$)", - "World/Europe/AUT/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/AZE/Exports/Merchandise exports (current US$)", - "World/Asia/BGD/Exports/Merchandise exports (current US$)", - "World/Latam/BRA/Exports/Merchandise exports (current US$)", - "World/Latam/CHL/Exports/Merchandise exports (current US$)", - "World/Pair/CHN/Exports/Merchandise exports (current US$)", - "World/Latam/COL/Exports/Merchandise exports (current US$)", - "World/Latam/CRI/Exports/Merchandise exports (current US$)", - "World/Europe/DEU/Exports/Merchandise exports (current US$)", - "World/North Africa/EGY/Exports/Merchandise exports (current US$)", - "World/Europe/ESP/Exports/Merchandise exports (current US$)", - "World/Europe/FRA/Exports/Merchandise exports (current US$)", - "World/Europe/GBR/Exports/Merchandise exports (current US$)", - "World/South Africa/GHA/Exports/Merchandise exports (current US$)", - "World/Asia/IDN/Exports/Merchandise exports (current US$)", - "World/Asia/IND/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/IRQ/Exports/Merchandise exports (current US$)", - "World/North Africa/ISR/Exports/Merchandise exports (current US$)", - "World/Asia/KOR/Exports/Merchandise exports (current US$)", - "World/North Africa/MAR/Exports/Merchandise exports (current US$)", - "World/Latam/MEX/Exports/Merchandise exports (current US$)", - "World/South Africa/MOZ/Exports/Merchandise exports (current US$)", - "World/Europe/NLD/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/OMN/Exports/Merchandise exports (current US$)", - "World/Latam/PAN/Exports/Merchandise exports (current US$)", - "World/Latam/PER/Exports/Merchandise exports (current US$)", - "World/Asia/PHL/Exports/Merchandise exports (current US$)", - "World/Europe/POL/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/QAT/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/SAU/Exports/Merchandise exports (current US$)", - "World/South Africa/SEN/Exports/Merchandise exports (current US$)", - "World/Europe/SWE/Exports/Merchandise exports (current US$)", - "World/Asia/THA/Exports/Merchandise exports (current US$)", - "World/North Africa/TUR/Exports/Merchandise exports (current US$)", - "World/Pair/USA/Exports/Merchandise exports (current US$)", - "World/Latam/VEN/Exports/Merchandise exports (current US$)", - "World/Asia/VNM/Exports/Merchandise exports (current US$)", - "World/South Africa/ZAF/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/ARE/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/AUT/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/AZE/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/BGD/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/BRA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/CHL/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Pair/CHN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/COL/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/CRI/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/DEU/Exports/Merchandise exports by the reporting economy (current US$)", - "World/North Africa/DZA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/North Africa/EGY/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/ESP/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/FRA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/GBR/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/GHA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/IDN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/IND/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/IRQ/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/KOR/Exports/Merchandise exports by the reporting economy (current US$)", - "World/North Africa/MAR/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/MEX/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/MOZ/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/NGA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/NLD/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/OMN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/PER/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/PHL/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/POL/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/QAT/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/SEN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/SWE/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/THA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/North Africa/TUR/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Pair/USA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/VEN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/VNM/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/ZAF/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Persian Gulf/AZE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/BGD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/GBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/South Africa/LBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/South Africa/MOZ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/South Africa/NGA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/NLD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/PAN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/PER/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/PHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/POL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Persian Gulf/QAT/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/SWE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/THA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Pair/USA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/VEN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/South Africa/ZAF/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Europe/AUT/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Latam/BRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Europe/FRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Asia/IND/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/South Africa/MOZ/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/South Africa/NGA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Europe/NLD/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Persian Gulf/OMN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Latam/PAN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Latam/PER/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Asia/PHL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Persian Gulf/QAT/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Persian Gulf/SAU/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Pair/USA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/South Africa/ZAF/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Persian Gulf/ARE/Imports/Merchandise imports (current US$)", - "World/Latam/ARG/Imports/Merchandise imports (current US$)", - "World/Europe/AUT/Imports/Merchandise imports (current US$)", - "World/Persian Gulf/AZE/Imports/Merchandise imports (current US$)", - "World/Asia/BGD/Imports/Merchandise imports (current US$)", - "World/Latam/BRA/Imports/Merchandise imports (current US$)", - "World/Latam/CHL/Imports/Merchandise imports (current US$)", - "World/Pair/CHN/Imports/Merchandise imports (current US$)", - "World/Latam/COL/Imports/Merchandise imports (current US$)", - "World/Latam/CRI/Imports/Merchandise imports (current US$)", - "World/Europe/DEU/Imports/Merchandise imports (current US$)", - "World/North Africa/DZA/Imports/Merchandise imports (current US$)", - "World/North Africa/EGY/Imports/Merchandise imports (current US$)", - "World/Europe/ESP/Imports/Merchandise imports (current US$)", - "World/Europe/FRA/Imports/Merchandise imports (current US$)", - "World/Europe/GBR/Imports/Merchandise imports (current US$)", - "World/Europe/GRC/Imports/Merchandise imports (current US$)", - "World/Europe/HRV/Imports/Merchandise imports (current US$)", - "World/Asia/IDN/Imports/Merchandise imports (current US$)", - "World/Asia/IND/Imports/Merchandise imports (current US$)", - "World/Persian Gulf/IRQ/Imports/Merchandise imports (current US$)", - "World/North Africa/ISR/Imports/Merchandise imports (current US$)", - "World/Asia/KOR/Imports/Merchandise imports (current US$)", - "World/North Africa/MAR/Imports/Merchandise imports (current US$)", - "World/Latam/MEX/Imports/Merchandise imports (current US$)", - "World/South Africa/MOZ/Imports/Merchandise imports (current US$)", - "World/South Africa/NGA/Imports/Merchandise imports (current US$)", - "World/Europe/NLD/Imports/Merchandise imports (current US$)", - "World/Persian Gulf/OMN/Imports/Merchandise imports (current US$)", - "World/Latam/PAN/Imports/Merchandise imports (current US$)", - "World/Latam/PER/Imports/Merchandise imports (current US$)", - "World/Asia/PHL/Imports/Merchandise imports (current US$)", - "World/Europe/POL/Imports/Merchandise imports (current US$)", - "World/Persian Gulf/QAT/Imports/Merchandise imports (current US$)", - "World/Persian Gulf/SAU/Imports/Merchandise imports (current US$)", - "World/South Africa/SEN/Imports/Merchandise imports (current US$)", - "World/Europe/SWE/Imports/Merchandise imports (current US$)", - "World/Asia/THA/Imports/Merchandise imports (current US$)", - "World/North Africa/TUR/Imports/Merchandise imports (current US$)", - "World/Pair/USA/Imports/Merchandise imports (current US$)", - "World/Asia/VNM/Imports/Merchandise imports (current US$)", - "World/Persian Gulf/YEM/Imports/Merchandise imports (current US$)", - "World/South Africa/ZAF/Imports/Merchandise imports (current US$)", - "World/Persian Gulf/ARE/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Latam/ARG/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/AUT/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Persian Gulf/AZE/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Asia/BGD/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Latam/BRA/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Latam/CHL/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Pair/CHN/Imports/Merchandise imports by the reporting economy (current US$)", - "World/South Africa/CMR/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Latam/COL/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Latam/CRI/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/DEU/Imports/Merchandise imports by the reporting economy (current US$)", - "World/North Africa/DZA/Imports/Merchandise imports by the reporting economy (current US$)", - "World/North Africa/EGY/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/ESP/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/FRA/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/GBR/Imports/Merchandise imports by the reporting economy (current US$)", - "World/South Africa/GHA/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/GRC/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/HRV/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Asia/IDN/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Asia/IND/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Persian Gulf/IRQ/Imports/Merchandise imports by the reporting economy (current US$)", - "World/North Africa/ISR/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Asia/KOR/Imports/Merchandise imports by the reporting economy (current US$)", - "World/North Africa/MAR/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Latam/MEX/Imports/Merchandise imports by the reporting economy (current US$)", - "World/South Africa/MOZ/Imports/Merchandise imports by the reporting economy (current US$)", - "World/South Africa/NGA/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/NLD/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Persian Gulf/OMN/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Latam/PAN/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Latam/PER/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Asia/PHL/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/POL/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Persian Gulf/QAT/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Persian Gulf/SAU/Imports/Merchandise imports by the reporting economy (current US$)", - "World/South Africa/SEN/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/SWE/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Asia/THA/Imports/Merchandise imports by the reporting economy (current US$)", - "World/North Africa/TUR/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Pair/USA/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Asia/VNM/Imports/Merchandise imports by the reporting economy (current US$)", - "World/South Africa/ZAF/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Asia/BGD/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Latam/BRA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Pair/CHN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Latam/COL/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Latam/CRI/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/North Africa/DZA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Europe/GRC/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Asia/IDN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Asia/KOR/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Latam/MEX/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/South Africa/NGA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Persian Gulf/OMN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Asia/PHL/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Persian Gulf/QAT/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Persian Gulf/SAU/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Asia/THA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/North Africa/TUR/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Pair/USA/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Latam/VEN/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Asia/VNM/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Persian Gulf/YEM/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Latam/BRA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Latam/CHL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Europe/DEU/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Europe/FRA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Asia/IDN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Asia/KOR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/South Africa/MOZ/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/South Africa/NGA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Europe/NLD/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Latam/PAN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Asia/PHL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Europe/SWE/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Asia/THA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Latam/VEN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Asia/VNM/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Latam/ARG/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Latam/BRA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Latam/CHL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/South Africa/LBR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Latam/PAN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Europe/SWE/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Latam/VEN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/South Africa/ZAF/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Europe/FRA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Asia/KOR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/South Africa/MOZ/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Europe/NLD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Persian Gulf/OMN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/South Africa/SEN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Persian Gulf/YEM/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Persian Gulf/ARE/Environment/Methane emissions (% change from 1990)", - "World/Europe/AUT/Environment/Methane emissions (% change from 1990)", - "World/Persian Gulf/AZE/Environment/Methane emissions (% change from 1990)", - "World/Asia/BGD/Environment/Methane emissions (% change from 1990)", - "World/Latam/CHL/Environment/Methane emissions (% change from 1990)", - "World/Pair/CHN/Environment/Methane emissions (% change from 1990)", - "World/Latam/COL/Environment/Methane emissions (% change from 1990)", - "World/Europe/DEU/Environment/Methane emissions (% change from 1990)", - "World/North Africa/DZA/Environment/Methane emissions (% change from 1990)", - "World/North Africa/EGY/Environment/Methane emissions (% change from 1990)", - "World/Europe/ESP/Environment/Methane emissions (% change from 1990)", - "World/Europe/FRA/Environment/Methane emissions (% change from 1990)", - "World/Europe/GBR/Environment/Methane emissions (% change from 1990)", - "World/South Africa/GHA/Environment/Methane emissions (% change from 1990)", - "World/Asia/IND/Environment/Methane emissions (% change from 1990)", - "World/Asia/KOR/Environment/Methane emissions (% change from 1990)", - "World/North Africa/MAR/Environment/Methane emissions (% change from 1990)", - "World/Latam/MEX/Environment/Methane emissions (% change from 1990)", - "World/Europe/NLD/Environment/Methane emissions (% change from 1990)", - "World/Persian Gulf/OMN/Environment/Methane emissions (% change from 1990)", - "World/Latam/PAN/Environment/Methane emissions (% change from 1990)", - "World/Latam/PER/Environment/Methane emissions (% change from 1990)", - "World/Asia/PHL/Environment/Methane emissions (% change from 1990)", - "World/Europe/POL/Environment/Methane emissions (% change from 1990)", - "World/Persian Gulf/QAT/Environment/Methane emissions (% change from 1990)", - "World/Persian Gulf/SAU/Environment/Methane emissions (% change from 1990)", - "World/North Africa/TUR/Environment/Methane emissions (% change from 1990)", - "World/Pair/USA/Environment/Methane emissions (% change from 1990)", - "World/Asia/VNM/Environment/Methane emissions (% change from 1990)", - "World/Persian Gulf/YEM/Environment/Methane emissions (% change from 1990)", - "World/Persian Gulf/ARE/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/ARG/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/AUT/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/AZE/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Asia/BGD/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/BRA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Pair/CHN/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/CMR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/COL/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/CRI/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/DEU/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/DZA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/EGY/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/FRA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/GBR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/GHA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Asia/IND/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/ISR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/LBR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/MAR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/MEX/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/MOZ/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/NGA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/NLD/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/OMN/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/PAN/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/PER/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Asia/PHL/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/POL/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/QAT/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/SAU/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/SEN/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/TUR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Pair/USA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Asia/VNM/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/YEM/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/ARE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/ARG/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/AUT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/AZE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/BGD/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Pair/CHN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/CMR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/COL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/DEU/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/DZA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/EGY/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/FRA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/GBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/GHA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/GRC/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/IND/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/IRQ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/ISR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/KOR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/LBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/MAR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/MOZ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/NGA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/OMN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/PAN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/PER/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/POL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/QAT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/SEN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/SWE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/THA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Pair/USA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/VNM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/YEM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/ARE/Military/Military expenditure (current USD)", - "World/Europe/AUT/Military/Military expenditure (current USD)", - "World/Persian Gulf/AZE/Military/Military expenditure (current USD)", - "World/Asia/BGD/Military/Military expenditure (current USD)", - "World/Latam/BRA/Military/Military expenditure (current USD)", - "World/Latam/CHL/Military/Military expenditure (current USD)", - "World/Pair/CHN/Military/Military expenditure (current USD)", - "World/South Africa/CMR/Military/Military expenditure (current USD)", - "World/Latam/COL/Military/Military expenditure (current USD)", - "World/North Africa/DZA/Military/Military expenditure (current USD)", - "World/North Africa/EGY/Military/Military expenditure (current USD)", - "World/Europe/ESP/Military/Military expenditure (current USD)", - "World/Europe/FRA/Military/Military expenditure (current USD)", - "World/South Africa/GHA/Military/Military expenditure (current USD)", - "World/Europe/GRC/Military/Military expenditure (current USD)", - "World/Asia/IDN/Military/Military expenditure (current USD)", - "World/Asia/IND/Military/Military expenditure (current USD)", - "World/North Africa/ISR/Military/Military expenditure (current USD)", - "World/Asia/KOR/Military/Military expenditure (current USD)", - "World/North Africa/MAR/Military/Military expenditure (current USD)", - "World/Latam/MEX/Military/Military expenditure (current USD)", - "World/South Africa/MOZ/Military/Military expenditure (current USD)", - "World/South Africa/NGA/Military/Military expenditure (current USD)", - "World/Europe/NLD/Military/Military expenditure (current USD)", - "World/Persian Gulf/OMN/Military/Military expenditure (current USD)", - "World/Latam/PER/Military/Military expenditure (current USD)", - "World/Asia/PHL/Military/Military expenditure (current USD)", - "World/Europe/POL/Military/Military expenditure (current USD)", - "World/Persian Gulf/SAU/Military/Military expenditure (current USD)", - "World/South Africa/SEN/Military/Military expenditure (current USD)", - "World/Asia/THA/Military/Military expenditure (current USD)", - "World/North Africa/TUR/Military/Military expenditure (current USD)", - "World/Pair/USA/Military/Military expenditure (current USD)", - "World/Asia/VNM/Military/Military expenditure (current USD)", - "World/Persian Gulf/YEM/Military/Military expenditure (current USD)", - "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions", - "World/Latam/BRA/Internet/Mobile cellular subscriptions", - "World/Latam/CHL/Internet/Mobile cellular subscriptions", - "World/Pair/CHN/Internet/Mobile cellular subscriptions", - "World/Europe/DEU/Internet/Mobile cellular subscriptions", - "World/North Africa/DZA/Internet/Mobile cellular subscriptions", - "World/North Africa/EGY/Internet/Mobile cellular subscriptions", - "World/Europe/FRA/Internet/Mobile cellular subscriptions", - "World/Europe/GBR/Internet/Mobile cellular subscriptions", - "World/Europe/HRV/Internet/Mobile cellular subscriptions", - "World/Asia/IDN/Internet/Mobile cellular subscriptions", - "World/North Africa/ISR/Internet/Mobile cellular subscriptions", - "World/Asia/KOR/Internet/Mobile cellular subscriptions", - "World/North Africa/MAR/Internet/Mobile cellular subscriptions", - "World/Latam/MEX/Internet/Mobile cellular subscriptions", - "World/Europe/NLD/Internet/Mobile cellular subscriptions", - "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions", - "World/Latam/PER/Internet/Mobile cellular subscriptions", - "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions", - "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions", - "World/Europe/SWE/Internet/Mobile cellular subscriptions", - "World/Asia/THA/Internet/Mobile cellular subscriptions", - "World/North Africa/TUR/Internet/Mobile cellular subscriptions", - "World/Pair/USA/Internet/Mobile cellular subscriptions", - "World/South Africa/ZAF/Internet/Mobile cellular subscriptions", - "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/BRA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/CHL/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Pair/CHN/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/DEU/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/DZA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/EGY/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/FRA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/HRV/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Asia/IDN/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/ISR/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Asia/KOR/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/MAR/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/MEX/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/NLD/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/PER/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/SWE/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Asia/THA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/TUR/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Pair/USA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/VEN/Internet/Mobile cellular subscriptions (per 100 people)", - "World/South Africa/ZAF/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Persian Gulf/ARE/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Persian Gulf/AZE/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Asia/BGD/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/CHL/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Pair/CHN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/South Africa/CMR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/COL/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/CRI/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/DEU/Economy/Monetary Sector credit to private sector (% GDP)", - "World/North Africa/DZA/Economy/Monetary Sector credit to private sector (% GDP)", - "World/North Africa/EGY/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/FRA/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/GRC/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/HRV/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Asia/IND/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Asia/KOR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/South Africa/LBR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/North Africa/MAR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/MEX/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Persian Gulf/OMN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/PAN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/PER/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/POL/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Persian Gulf/QAT/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Persian Gulf/SAU/Economy/Monetary Sector credit to private sector (% GDP)", - "World/South Africa/SEN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/SWE/Economy/Monetary Sector credit to private sector (% GDP)", - "World/North Africa/TUR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/VEN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Asia/VNM/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/AUT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/AZE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/BGD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Pair/CHN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/South Africa/CMR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/DEU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/North Africa/DZA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/ESP/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/GBR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/GRC/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/HRV/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/IDN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/North Africa/ISR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/KOR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/North Africa/MAR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Latam/MEX/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/South Africa/MOZ/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/South Africa/NGA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/NLD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/OMN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/PHL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/POL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/QAT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/SAU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/SWE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/THA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/North Africa/TUR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Latam/VEN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/VNM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/YEM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/ARE/Economy/Net barter terms of trade index (2000 = 100)", - "World/Europe/AUT/Economy/Net barter terms of trade index (2000 = 100)", - "World/Latam/BRA/Economy/Net barter terms of trade index (2000 = 100)", - "World/Latam/COL/Economy/Net barter terms of trade index (2000 = 100)", - "World/North Africa/DZA/Economy/Net barter terms of trade index (2000 = 100)", - "World/North Africa/EGY/Economy/Net barter terms of trade index (2000 = 100)", - "World/Europe/ESP/Economy/Net barter terms of trade index (2000 = 100)", - "World/South Africa/GHA/Economy/Net barter terms of trade index (2000 = 100)", - "World/Asia/KOR/Economy/Net barter terms of trade index (2000 = 100)", - "World/South Africa/LBR/Economy/Net barter terms of trade index (2000 = 100)", - "World/Europe/NLD/Economy/Net barter terms of trade index (2000 = 100)", - "World/Europe/SWE/Economy/Net barter terms of trade index (2000 = 100)", - "World/Asia/VNM/Economy/Net barter terms of trade index (2000 = 100)", - "World/South Africa/ZAF/Economy/Net barter terms of trade index (2000 = 100)", - "World/Asia/BGD/Economy/Net primary income (BoP, current US$)", - "World/Latam/BRA/Economy/Net primary income (BoP, current US$)", - "World/Latam/COL/Economy/Net primary income (BoP, current US$)", - "World/Latam/CRI/Economy/Net primary income (BoP, current US$)", - "World/North Africa/EGY/Economy/Net primary income (BoP, current US$)", - "World/Europe/FRA/Economy/Net primary income (BoP, current US$)", - "World/South Africa/GHA/Economy/Net primary income (BoP, current US$)", - "World/Asia/IDN/Economy/Net primary income (BoP, current US$)", - "World/Asia/IND/Economy/Net primary income (BoP, current US$)", - "World/Asia/KOR/Economy/Net primary income (BoP, current US$)", - "World/Latam/MEX/Economy/Net primary income (BoP, current US$)", - "World/Persian Gulf/OMN/Economy/Net primary income (BoP, current US$)", - "World/Latam/PAN/Economy/Net primary income (BoP, current US$)", - "World/Europe/POL/Economy/Net primary income (BoP, current US$)", - "World/Persian Gulf/QAT/Economy/Net primary income (BoP, current US$)", - "World/Asia/THA/Economy/Net primary income (BoP, current US$)", - "World/North Africa/TUR/Economy/Net primary income (BoP, current US$)", - "World/Pair/USA/Economy/Net primary income (BoP, current US$)", - "World/Latam/VEN/Economy/Net primary income (BoP, current US$)", - "World/Asia/VNM/Economy/Net primary income (BoP, current US$)", - "World/South Africa/ZAF/Economy/Net primary income (BoP, current US$)", - "World/Asia/BGD/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/BRA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/COL/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/CRI/Economy/Net primary income (Net income from abroad) (current US$)", - "World/North Africa/EGY/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Europe/FRA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/IND/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/KOR/Economy/Net primary income (Net income from abroad) (current US$)", - "World/South Africa/LBR/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/MEX/Economy/Net primary income (Net income from abroad) (current US$)", - "World/South Africa/NGA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Persian Gulf/OMN/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/PAN/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/PHL/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Europe/POL/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Persian Gulf/SAU/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/THA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/North Africa/TUR/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Pair/USA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/VNM/Economy/Net primary income (Net income from abroad) (current US$)", - "World/South Africa/ZAF/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/BGD/Economy/Net secondary income (BoP, current US$)", - "World/Latam/COL/Economy/Net secondary income (BoP, current US$)", - "World/Latam/CRI/Economy/Net secondary income (BoP, current US$)", - "World/Europe/DEU/Economy/Net secondary income (BoP, current US$)", - "World/North Africa/EGY/Economy/Net secondary income (BoP, current US$)", - "World/Europe/ESP/Economy/Net secondary income (BoP, current US$)", - "World/Europe/FRA/Economy/Net secondary income (BoP, current US$)", - "World/Europe/GBR/Economy/Net secondary income (BoP, current US$)", - "World/Asia/IND/Economy/Net secondary income (BoP, current US$)", - "World/Asia/KOR/Economy/Net secondary income (BoP, current US$)", - "World/North Africa/MAR/Economy/Net secondary income (BoP, current US$)", - "World/Latam/MEX/Economy/Net secondary income (BoP, current US$)", - "World/South Africa/NGA/Economy/Net secondary income (BoP, current US$)", - "World/Persian Gulf/OMN/Economy/Net secondary income (BoP, current US$)", - "World/Latam/PER/Economy/Net secondary income (BoP, current US$)", - "World/Asia/PHL/Economy/Net secondary income (BoP, current US$)", - "World/Europe/POL/Economy/Net secondary income (BoP, current US$)", - "World/Persian Gulf/SAU/Economy/Net secondary income (BoP, current US$)", - "World/South Africa/SEN/Economy/Net secondary income (BoP, current US$)", - "World/Europe/SWE/Economy/Net secondary income (BoP, current US$)", - "World/Asia/THA/Economy/Net secondary income (BoP, current US$)", - "World/Pair/USA/Economy/Net secondary income (BoP, current US$)", - "World/Latam/VEN/Economy/Net secondary income (BoP, current US$)", - "World/Asia/VNM/Economy/Net secondary income (BoP, current US$)", - "World/Persian Gulf/YEM/Economy/Net secondary income (BoP, current US$)", - "World/South Africa/ZAF/Economy/Net secondary income (BoP, current US$)", - "World/Persian Gulf/ARE/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/AUT/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/COL/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/CRI/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/North Africa/DZA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/North Africa/EGY/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/ESP/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/FRA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/GBR/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/South Africa/GHA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Asia/IND/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/North Africa/ISR/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/North Africa/MAR/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/MEX/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/South Africa/NGA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Persian Gulf/OMN/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/PAN/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/PER/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Asia/PHL/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/POL/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Persian Gulf/QAT/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Persian Gulf/SAU/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/South Africa/SEN/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/SWE/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Asia/THA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Pair/USA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Asia/VNM/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Persian Gulf/YEM/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/South Africa/ZAF/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/AUT/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Persian Gulf/AZE/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Asia/BGD/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Latam/CHL/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Pair/CHN/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Latam/COL/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Latam/CRI/Environment/Nitrous oxide emissions (% change from 1990)", - "World/North Africa/DZA/Environment/Nitrous oxide emissions (% change from 1990)", - "World/North Africa/EGY/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Europe/ESP/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Europe/FRA/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Europe/GBR/Environment/Nitrous oxide emissions (% change from 1990)", - "World/South Africa/GHA/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Europe/GRC/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Asia/IND/Environment/Nitrous oxide emissions (% change from 1990)", - "World/South Africa/NGA/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Europe/NLD/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Persian Gulf/OMN/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Latam/PAN/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Latam/PER/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Persian Gulf/QAT/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Europe/SWE/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Pair/USA/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Asia/VNM/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Persian Gulf/YEM/Environment/Nitrous oxide emissions (% change from 1990)", - "World/South Africa/ZAF/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Persian Gulf/ARE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/AZE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/BGD/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/BRA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Pair/CHN/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/CRI/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/DZA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/FRA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/GBR/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/GHA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/GRC/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IDN/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IND/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/ISR/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/LBR/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/MAR/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/NGA/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/NLD/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/OMN/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/PER/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/PHL/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/QAT/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/SWE/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/TUR/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/VNM/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/YEM/Environment/Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/ARE/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/AUT/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/BGD/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/BRA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/CHL/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Pair/CHN/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/CMR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/DZA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/EGY/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/FRA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/GBR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/GHA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/IDN/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/IND/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/ISR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/KOR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/LBR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/MAR/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/MEX/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/MOZ/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/NGA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/NLD/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/OMN/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/PAN/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/PER/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/PHL/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/QAT/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/SAU/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/SEN/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/THA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Pair/USA/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/VEN/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/VNM/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/YEM/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/ZAF/Environment/Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/ARG/Mortality/Number of deaths ages 10-14 years", - "World/Europe/AUT/Mortality/Number of deaths ages 10-14 years", - "World/Persian Gulf/AZE/Mortality/Number of deaths ages 10-14 years", - "World/Asia/BGD/Mortality/Number of deaths ages 10-14 years", - "World/Latam/BRA/Mortality/Number of deaths ages 10-14 years", - "World/Latam/CHL/Mortality/Number of deaths ages 10-14 years", - "World/Pair/CHN/Mortality/Number of deaths ages 10-14 years", - "World/South Africa/CMR/Mortality/Number of deaths ages 10-14 years", - "World/Latam/COL/Mortality/Number of deaths ages 10-14 years", - "World/Latam/CRI/Mortality/Number of deaths ages 10-14 years", - "World/Europe/DEU/Mortality/Number of deaths ages 10-14 years", - "World/North Africa/DZA/Mortality/Number of deaths ages 10-14 years", - "World/Europe/ESP/Mortality/Number of deaths ages 10-14 years", - "World/Europe/FRA/Mortality/Number of deaths ages 10-14 years", - "World/Europe/GBR/Mortality/Number of deaths ages 10-14 years", - "World/Europe/GRC/Mortality/Number of deaths ages 10-14 years", - "World/Europe/HRV/Mortality/Number of deaths ages 10-14 years", - "World/Asia/IDN/Mortality/Number of deaths ages 10-14 years", - "World/Asia/IND/Mortality/Number of deaths ages 10-14 years", - "World/Persian Gulf/IRQ/Mortality/Number of deaths ages 10-14 years", - "World/North Africa/ISR/Mortality/Number of deaths ages 10-14 years", - "World/Asia/KOR/Mortality/Number of deaths ages 10-14 years", - "World/South Africa/LBR/Mortality/Number of deaths ages 10-14 years", - "World/North Africa/MAR/Mortality/Number of deaths ages 10-14 years", - "World/Latam/MEX/Mortality/Number of deaths ages 10-14 years", - "World/South Africa/MOZ/Mortality/Number of deaths ages 10-14 years", - "World/South Africa/NGA/Mortality/Number of deaths ages 10-14 years", - "World/Europe/NLD/Mortality/Number of deaths ages 10-14 years", - "World/Persian Gulf/OMN/Mortality/Number of deaths ages 10-14 years", - "World/Latam/PAN/Mortality/Number of deaths ages 10-14 years", - "World/Latam/PER/Mortality/Number of deaths ages 10-14 years", - "World/Europe/POL/Mortality/Number of deaths ages 10-14 years", - "World/Persian Gulf/SAU/Mortality/Number of deaths ages 10-14 years", - "World/South Africa/SEN/Mortality/Number of deaths ages 10-14 years", - "World/Asia/THA/Mortality/Number of deaths ages 10-14 years", - "World/North Africa/TUR/Mortality/Number of deaths ages 10-14 years", - "World/Pair/USA/Mortality/Number of deaths ages 10-14 years", - "World/Asia/VNM/Mortality/Number of deaths ages 10-14 years", - "World/Persian Gulf/YEM/Mortality/Number of deaths ages 10-14 years", - "World/Persian Gulf/ARE/Mortality/Number of deaths ages 15-19 years", - "World/Latam/ARG/Mortality/Number of deaths ages 15-19 years", - "World/Europe/AUT/Mortality/Number of deaths ages 15-19 years", - "World/Latam/CHL/Mortality/Number of deaths ages 15-19 years", - "World/Pair/CHN/Mortality/Number of deaths ages 15-19 years", - "World/South Africa/CMR/Mortality/Number of deaths ages 15-19 years", - "World/Latam/COL/Mortality/Number of deaths ages 15-19 years", - "World/Europe/DEU/Mortality/Number of deaths ages 15-19 years", - "World/North Africa/DZA/Mortality/Number of deaths ages 15-19 years", - "World/Europe/ESP/Mortality/Number of deaths ages 15-19 years", - "World/Europe/FRA/Mortality/Number of deaths ages 15-19 years", - "World/Europe/GBR/Mortality/Number of deaths ages 15-19 years", - "World/Europe/GRC/Mortality/Number of deaths ages 15-19 years", - "World/Europe/HRV/Mortality/Number of deaths ages 15-19 years", - "World/Asia/IND/Mortality/Number of deaths ages 15-19 years", - "World/Asia/KOR/Mortality/Number of deaths ages 15-19 years", - "World/South Africa/LBR/Mortality/Number of deaths ages 15-19 years", - "World/North Africa/MAR/Mortality/Number of deaths ages 15-19 years", - "World/South Africa/NGA/Mortality/Number of deaths ages 15-19 years", - "World/Europe/NLD/Mortality/Number of deaths ages 15-19 years", - "World/Persian Gulf/OMN/Mortality/Number of deaths ages 15-19 years", - "World/Latam/PAN/Mortality/Number of deaths ages 15-19 years", - "World/Latam/PER/Mortality/Number of deaths ages 15-19 years", - "World/Asia/PHL/Mortality/Number of deaths ages 15-19 years", - "World/Europe/POL/Mortality/Number of deaths ages 15-19 years", - "World/Persian Gulf/QAT/Mortality/Number of deaths ages 15-19 years", - "World/Persian Gulf/SAU/Mortality/Number of deaths ages 15-19 years", - "World/South Africa/SEN/Mortality/Number of deaths ages 15-19 years", - "World/Asia/THA/Mortality/Number of deaths ages 15-19 years", - "World/North Africa/TUR/Mortality/Number of deaths ages 15-19 years", - "World/Pair/USA/Mortality/Number of deaths ages 15-19 years", - "World/Latam/VEN/Mortality/Number of deaths ages 15-19 years", - "World/Asia/VNM/Mortality/Number of deaths ages 15-19 years", - "World/Persian Gulf/YEM/Mortality/Number of deaths ages 15-19 years", - "World/Europe/AUT/Mortality/Number of deaths ages 20-24 years", - "World/Persian Gulf/AZE/Mortality/Number of deaths ages 20-24 years", - "World/Asia/BGD/Mortality/Number of deaths ages 20-24 years", - "World/Latam/CHL/Mortality/Number of deaths ages 20-24 years", - "World/Pair/CHN/Mortality/Number of deaths ages 20-24 years", - "World/South Africa/CMR/Mortality/Number of deaths ages 20-24 years", - "World/Latam/COL/Mortality/Number of deaths ages 20-24 years", - "World/Latam/CRI/Mortality/Number of deaths ages 20-24 years", - "World/Europe/DEU/Mortality/Number of deaths ages 20-24 years", - "World/North Africa/DZA/Mortality/Number of deaths ages 20-24 years", - "World/Europe/ESP/Mortality/Number of deaths ages 20-24 years", - "World/Europe/FRA/Mortality/Number of deaths ages 20-24 years", - "World/Europe/GBR/Mortality/Number of deaths ages 20-24 years", - "World/Europe/GRC/Mortality/Number of deaths ages 20-24 years", - "World/Europe/HRV/Mortality/Number of deaths ages 20-24 years", - "World/Asia/IND/Mortality/Number of deaths ages 20-24 years", - "World/North Africa/ISR/Mortality/Number of deaths ages 20-24 years", - "World/Asia/KOR/Mortality/Number of deaths ages 20-24 years", - "World/South Africa/LBR/Mortality/Number of deaths ages 20-24 years", - "World/North Africa/MAR/Mortality/Number of deaths ages 20-24 years", - "World/Latam/MEX/Mortality/Number of deaths ages 20-24 years", - "World/South Africa/MOZ/Mortality/Number of deaths ages 20-24 years", - "World/Europe/NLD/Mortality/Number of deaths ages 20-24 years", - "World/Persian Gulf/OMN/Mortality/Number of deaths ages 20-24 years", - "World/Latam/PER/Mortality/Number of deaths ages 20-24 years", - "World/Asia/PHL/Mortality/Number of deaths ages 20-24 years", - "World/Europe/POL/Mortality/Number of deaths ages 20-24 years", - "World/Persian Gulf/QAT/Mortality/Number of deaths ages 20-24 years", - "World/South Africa/SEN/Mortality/Number of deaths ages 20-24 years", - "World/North Africa/TUR/Mortality/Number of deaths ages 20-24 years", - "World/Latam/VEN/Mortality/Number of deaths ages 20-24 years", - "World/Asia/VNM/Mortality/Number of deaths ages 20-24 years", - "World/Persian Gulf/YEM/Mortality/Number of deaths ages 20-24 years", - "World/Persian Gulf/ARE/Mortality/Number of deaths ages 5-9 years", - "World/Latam/ARG/Mortality/Number of deaths ages 5-9 years", - "World/Europe/AUT/Mortality/Number of deaths ages 5-9 years", - "World/Persian Gulf/AZE/Mortality/Number of deaths ages 5-9 years", - "World/Asia/BGD/Mortality/Number of deaths ages 5-9 years", - "World/Latam/BRA/Mortality/Number of deaths ages 5-9 years", - "World/Latam/CHL/Mortality/Number of deaths ages 5-9 years", - "World/Pair/CHN/Mortality/Number of deaths ages 5-9 years", - "World/South Africa/CMR/Mortality/Number of deaths ages 5-9 years", - "World/Latam/COL/Mortality/Number of deaths ages 5-9 years", - "World/Latam/CRI/Mortality/Number of deaths ages 5-9 years", - "World/Europe/DEU/Mortality/Number of deaths ages 5-9 years", - "World/North Africa/DZA/Mortality/Number of deaths ages 5-9 years", - "World/North Africa/EGY/Mortality/Number of deaths ages 5-9 years", - "World/Europe/ESP/Mortality/Number of deaths ages 5-9 years", - "World/Europe/FRA/Mortality/Number of deaths ages 5-9 years", - "World/Europe/GBR/Mortality/Number of deaths ages 5-9 years", - "World/South Africa/GHA/Mortality/Number of deaths ages 5-9 years", - "World/Europe/GRC/Mortality/Number of deaths ages 5-9 years", - "World/Europe/HRV/Mortality/Number of deaths ages 5-9 years", - "World/Asia/IDN/Mortality/Number of deaths ages 5-9 years", - "World/Asia/IND/Mortality/Number of deaths ages 5-9 years", - "World/North Africa/ISR/Mortality/Number of deaths ages 5-9 years", - "World/Asia/KOR/Mortality/Number of deaths ages 5-9 years", - "World/North Africa/MAR/Mortality/Number of deaths ages 5-9 years", - "World/Latam/MEX/Mortality/Number of deaths ages 5-9 years", - "World/South Africa/MOZ/Mortality/Number of deaths ages 5-9 years", - "World/South Africa/NGA/Mortality/Number of deaths ages 5-9 years", - "World/Europe/NLD/Mortality/Number of deaths ages 5-9 years", - "World/Persian Gulf/OMN/Mortality/Number of deaths ages 5-9 years", - "World/Latam/PAN/Mortality/Number of deaths ages 5-9 years", - "World/Latam/PER/Mortality/Number of deaths ages 5-9 years", - "World/Europe/POL/Mortality/Number of deaths ages 5-9 years", - "World/Persian Gulf/QAT/Mortality/Number of deaths ages 5-9 years", - "World/Persian Gulf/SAU/Mortality/Number of deaths ages 5-9 years", - "World/South Africa/SEN/Mortality/Number of deaths ages 5-9 years", - "World/Asia/THA/Mortality/Number of deaths ages 5-9 years", - "World/North Africa/TUR/Mortality/Number of deaths ages 5-9 years", - "World/Pair/USA/Mortality/Number of deaths ages 5-9 years", - "World/Asia/VNM/Mortality/Number of deaths ages 5-9 years", - "World/Persian Gulf/YEM/Mortality/Number of deaths ages 5-9 years", - "World/Persian Gulf/ARE/Mortality/Number of infant deaths", - "World/Latam/ARG/Mortality/Number of infant deaths", - "World/Europe/AUT/Mortality/Number of infant deaths", - "World/Persian Gulf/AZE/Mortality/Number of infant deaths", - "World/Asia/BGD/Mortality/Number of infant deaths", - "World/Latam/BRA/Mortality/Number of infant deaths", - "World/Latam/CHL/Mortality/Number of infant deaths", - "World/Pair/CHN/Mortality/Number of infant deaths", - "World/South Africa/CMR/Mortality/Number of infant deaths", - "World/Latam/COL/Mortality/Number of infant deaths", - "World/Latam/CRI/Mortality/Number of infant deaths", - "World/North Africa/EGY/Mortality/Number of infant deaths", - "World/Europe/FRA/Mortality/Number of infant deaths", - "World/Europe/GBR/Mortality/Number of infant deaths", - "World/South Africa/GHA/Mortality/Number of infant deaths", - "World/Europe/GRC/Mortality/Number of infant deaths", - "World/Europe/HRV/Mortality/Number of infant deaths", - "World/Asia/IDN/Mortality/Number of infant deaths", - "World/Asia/IND/Mortality/Number of infant deaths", - "World/Persian Gulf/IRQ/Mortality/Number of infant deaths", - "World/North Africa/ISR/Mortality/Number of infant deaths", - "World/Asia/KOR/Mortality/Number of infant deaths", - "World/South Africa/LBR/Mortality/Number of infant deaths", - "World/North Africa/MAR/Mortality/Number of infant deaths", - "World/Latam/MEX/Mortality/Number of infant deaths", - "World/South Africa/MOZ/Mortality/Number of infant deaths", - "World/Europe/NLD/Mortality/Number of infant deaths", - "World/Persian Gulf/OMN/Mortality/Number of infant deaths", - "World/Latam/PAN/Mortality/Number of infant deaths", - "World/Latam/PER/Mortality/Number of infant deaths", - "World/Asia/PHL/Mortality/Number of infant deaths", - "World/Europe/POL/Mortality/Number of infant deaths", - "World/Persian Gulf/SAU/Mortality/Number of infant deaths", - "World/South Africa/SEN/Mortality/Number of infant deaths", - "World/Europe/SWE/Mortality/Number of infant deaths", - "World/Asia/THA/Mortality/Number of infant deaths", - "World/North Africa/TUR/Mortality/Number of infant deaths", - "World/Pair/USA/Mortality/Number of infant deaths", - "World/Asia/VNM/Mortality/Number of infant deaths", - "World/Latam/ARG/Mortality/Number of maternal deaths", - "World/Persian Gulf/AZE/Mortality/Number of maternal deaths", - "World/Asia/BGD/Mortality/Number of maternal deaths", - "World/Latam/BRA/Mortality/Number of maternal deaths", - "World/Latam/CHL/Mortality/Number of maternal deaths", - "World/Pair/CHN/Mortality/Number of maternal deaths", - "World/South Africa/CMR/Mortality/Number of maternal deaths", - "World/Latam/COL/Mortality/Number of maternal deaths", - "World/Latam/CRI/Mortality/Number of maternal deaths", - "World/North Africa/DZA/Mortality/Number of maternal deaths", - "World/North Africa/EGY/Mortality/Number of maternal deaths", - "World/Europe/FRA/Mortality/Number of maternal deaths", - "World/Europe/GBR/Mortality/Number of maternal deaths", - "World/Europe/HRV/Mortality/Number of maternal deaths", - "World/Asia/IDN/Mortality/Number of maternal deaths", - "World/Asia/IND/Mortality/Number of maternal deaths", - "World/North Africa/ISR/Mortality/Number of maternal deaths", - "World/Asia/KOR/Mortality/Number of maternal deaths", - "World/North Africa/MAR/Mortality/Number of maternal deaths", - "World/Latam/MEX/Mortality/Number of maternal deaths", - "World/South Africa/MOZ/Mortality/Number of maternal deaths", - "World/South Africa/NGA/Mortality/Number of maternal deaths", - "World/Europe/NLD/Mortality/Number of maternal deaths", - "World/Persian Gulf/OMN/Mortality/Number of maternal deaths", - "World/Latam/PAN/Mortality/Number of maternal deaths", - "World/Latam/PER/Mortality/Number of maternal deaths", - "World/Asia/PHL/Mortality/Number of maternal deaths", - "World/Europe/POL/Mortality/Number of maternal deaths", - "World/Persian Gulf/SAU/Mortality/Number of maternal deaths", - "World/South Africa/SEN/Mortality/Number of maternal deaths", - "World/Asia/THA/Mortality/Number of maternal deaths", - "World/North Africa/TUR/Mortality/Number of maternal deaths", - "World/Pair/USA/Mortality/Number of maternal deaths", - "World/Asia/VNM/Mortality/Number of maternal deaths", - "World/Persian Gulf/YEM/Mortality/Number of maternal deaths", - "World/Persian Gulf/ARE/Mortality/Number of neonatal deaths", - "World/Latam/ARG/Mortality/Number of neonatal deaths", - "World/Europe/AUT/Mortality/Number of neonatal deaths", - "World/Persian Gulf/AZE/Mortality/Number of neonatal deaths", - "World/Asia/BGD/Mortality/Number of neonatal deaths", - "World/Latam/BRA/Mortality/Number of neonatal deaths", - "World/Latam/CHL/Mortality/Number of neonatal deaths", - "World/Pair/CHN/Mortality/Number of neonatal deaths", - "World/Latam/COL/Mortality/Number of neonatal deaths", - "World/Latam/CRI/Mortality/Number of neonatal deaths", - "World/North Africa/DZA/Mortality/Number of neonatal deaths", - "World/North Africa/EGY/Mortality/Number of neonatal deaths", - "World/Europe/FRA/Mortality/Number of neonatal deaths", - "World/Europe/GBR/Mortality/Number of neonatal deaths", - "World/South Africa/GHA/Mortality/Number of neonatal deaths", - "World/Europe/GRC/Mortality/Number of neonatal deaths", - "World/Europe/HRV/Mortality/Number of neonatal deaths", - "World/Asia/IDN/Mortality/Number of neonatal deaths", - "World/Asia/IND/Mortality/Number of neonatal deaths", - "World/North Africa/ISR/Mortality/Number of neonatal deaths", - "World/Asia/KOR/Mortality/Number of neonatal deaths", - "World/North Africa/MAR/Mortality/Number of neonatal deaths", - "World/Latam/MEX/Mortality/Number of neonatal deaths", - "World/South Africa/MOZ/Mortality/Number of neonatal deaths", - "World/South Africa/NGA/Mortality/Number of neonatal deaths", - "World/Europe/NLD/Mortality/Number of neonatal deaths", - "World/Persian Gulf/OMN/Mortality/Number of neonatal deaths", - "World/Latam/PAN/Mortality/Number of neonatal deaths", - "World/Latam/PER/Mortality/Number of neonatal deaths", - "World/Asia/PHL/Mortality/Number of neonatal deaths", - "World/Europe/POL/Mortality/Number of neonatal deaths", - "World/Persian Gulf/QAT/Mortality/Number of neonatal deaths", - "World/Persian Gulf/SAU/Mortality/Number of neonatal deaths", - "World/South Africa/SEN/Mortality/Number of neonatal deaths", - "World/Asia/THA/Mortality/Number of neonatal deaths", - "World/North Africa/TUR/Mortality/Number of neonatal deaths", - "World/Pair/USA/Mortality/Number of neonatal deaths", - "World/Asia/VNM/Mortality/Number of neonatal deaths", - "World/South Africa/ZAF/Mortality/Number of neonatal deaths", - "World/Persian Gulf/ARE/Mortality/Number of under-five deaths", - "World/Latam/ARG/Mortality/Number of under-five deaths", - "World/Europe/AUT/Mortality/Number of under-five deaths", - "World/Persian Gulf/AZE/Mortality/Number of under-five deaths", - "World/Asia/BGD/Mortality/Number of under-five deaths", - "World/Latam/BRA/Mortality/Number of under-five deaths", - "World/Latam/CHL/Mortality/Number of under-five deaths", - "World/Pair/CHN/Mortality/Number of under-five deaths", - "World/South Africa/CMR/Mortality/Number of under-five deaths", - "World/Latam/COL/Mortality/Number of under-five deaths", - "World/Latam/CRI/Mortality/Number of under-five deaths", - "World/North Africa/EGY/Mortality/Number of under-five deaths", - "World/Europe/FRA/Mortality/Number of under-five deaths", - "World/Europe/GBR/Mortality/Number of under-five deaths", - "World/South Africa/GHA/Mortality/Number of under-five deaths", - "World/Europe/GRC/Mortality/Number of under-five deaths", - "World/Europe/HRV/Mortality/Number of under-five deaths", - "World/Asia/IDN/Mortality/Number of under-five deaths", - "World/Asia/IND/Mortality/Number of under-five deaths", - "World/Persian Gulf/IRQ/Mortality/Number of under-five deaths", - "World/North Africa/ISR/Mortality/Number of under-five deaths", - "World/Asia/KOR/Mortality/Number of under-five deaths", - "World/South Africa/LBR/Mortality/Number of under-five deaths", - "World/North Africa/MAR/Mortality/Number of under-five deaths", - "World/Latam/MEX/Mortality/Number of under-five deaths", - "World/South Africa/MOZ/Mortality/Number of under-five deaths", - "World/Europe/NLD/Mortality/Number of under-five deaths", - "World/Persian Gulf/OMN/Mortality/Number of under-five deaths", - "World/Latam/PAN/Mortality/Number of under-five deaths", - "World/Latam/PER/Mortality/Number of under-five deaths", - "World/Asia/PHL/Mortality/Number of under-five deaths", - "World/Europe/POL/Mortality/Number of under-five deaths", - "World/Persian Gulf/SAU/Mortality/Number of under-five deaths", - "World/South Africa/SEN/Mortality/Number of under-five deaths", - "World/Europe/SWE/Mortality/Number of under-five deaths", - "World/Asia/THA/Mortality/Number of under-five deaths", - "World/North Africa/TUR/Mortality/Number of under-five deaths", - "World/Pair/USA/Mortality/Number of under-five deaths", - "World/Asia/VNM/Mortality/Number of under-five deaths", - "World/Latam/ARG/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/AUT/Health/Nurses and midwives (per 1,000 people)", - "World/Persian Gulf/AZE/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/BGD/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/BRA/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/CHL/Health/Nurses and midwives (per 1,000 people)", - "World/Pair/CHN/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/CMR/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/CRI/Health/Nurses and midwives (per 1,000 people)", - "World/North Africa/EGY/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/ESP/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/FRA/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/GHA/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/HRV/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/IDN/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/IND/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/KOR/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/LBR/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/MOZ/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/NLD/Health/Nurses and midwives (per 1,000 people)", - "World/Persian Gulf/OMN/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/PAN/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/PER/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/POL/Health/Nurses and midwives (per 1,000 people)", - "World/Persian Gulf/SAU/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/SWE/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/THA/Health/Nurses and midwives (per 1,000 people)", - "World/North Africa/TUR/Health/Nurses and midwives (per 1,000 people)", - "World/Pair/USA/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/VEN/Health/Nurses and midwives (per 1,000 people)", - "World/Persian Gulf/YEM/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/ZAF/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/ARG/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/AUT/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/BGD/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/BRA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/CHL/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Pair/CHN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/CMR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/COL/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/CRI/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/DEU/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/North Africa/DZA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/North Africa/EGY/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/ESP/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/FRA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/GBR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/GHA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/GRC/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/HRV/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/IDN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/IND/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/North Africa/ISR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/KOR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/LBR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/NGA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/NLD/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/PAN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/PER/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/PHL/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/POL/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Persian Gulf/SAU/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/SEN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/SWE/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Pair/USA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/VEN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/VNM/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Persian Gulf/YEM/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/ARG/Health/People practicing open defecation (% of population)", - "World/Persian Gulf/AZE/Health/People practicing open defecation (% of population)", - "World/Asia/BGD/Health/People practicing open defecation (% of population)", - "World/Latam/BRA/Health/People practicing open defecation (% of population)", - "World/Latam/CHL/Health/People practicing open defecation (% of population)", - "World/Pair/CHN/Health/People practicing open defecation (% of population)", - "World/South Africa/CMR/Health/People practicing open defecation (% of population)", - "World/Latam/COL/Health/People practicing open defecation (% of population)", - "World/Latam/CRI/Health/People practicing open defecation (% of population)", - "World/North Africa/DZA/Health/People practicing open defecation (% of population)", - "World/North Africa/EGY/Health/People practicing open defecation (% of population)", - "World/South Africa/GHA/Health/People practicing open defecation (% of population)", - "World/Europe/GRC/Health/People practicing open defecation (% of population)", - "World/Asia/IDN/Health/People practicing open defecation (% of population)", - 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"World/Latam/CHL/Health/People using at least basic drinking water services (% of population)", - "World/Pair/CHN/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/CMR/Health/People using at least basic drinking water services (% of population)", - "World/Latam/COL/Health/People using at least basic drinking water services (% of population)", - "World/Latam/CRI/Health/People using at least basic drinking water services (% of population)", - "World/North Africa/DZA/Health/People using at least basic drinking water services (% of population)", - "World/North Africa/EGY/Health/People using at least basic drinking water services (% of population)", - "World/Europe/ESP/Health/People using at least basic drinking water services (% of population)", - "World/Europe/FRA/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/GHA/Health/People using at least basic drinking water services (% of population)", - "World/Europe/GRC/Health/People using at least basic drinking water services (% of population)", - "World/Europe/HRV/Health/People using at least basic drinking water services (% of population)", - "World/Asia/IDN/Health/People using at least basic drinking water services (% of population)", - "World/Asia/IND/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/IRQ/Health/People using at least basic drinking water services (% of population)", - "World/Asia/KOR/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/LBR/Health/People using at least basic drinking water services (% of population)", - "World/North Africa/MAR/Health/People using at least basic drinking water services (% of population)", - "World/Latam/MEX/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/MOZ/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/NGA/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/OMN/Health/People using at least basic drinking water services (% of population)", - "World/Latam/PAN/Health/People using at least basic drinking water services (% of population)", - "World/Latam/PER/Health/People using at least basic drinking water services (% of population)", - "World/Asia/PHL/Health/People using at least basic drinking water services (% of population)", - "World/Europe/POL/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/QAT/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/SAU/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/SEN/Health/People using at least basic drinking water services (% of population)", - "World/Europe/SWE/Health/People using at least basic drinking water services (% of population)", - "World/Asia/THA/Health/People using at least basic drinking water services (% of population)", - "World/North Africa/TUR/Health/People using at least basic drinking water services (% of population)", - "World/Pair/USA/Health/People using at least basic drinking water services (% of population)", - "World/Latam/VEN/Health/People using at least basic drinking water services (% of population)", - "World/Asia/VNM/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/YEM/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/ZAF/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/ARE/Health/People using at least basic sanitation services (% of population)", - "World/Latam/ARG/Health/People using at least basic sanitation services (% of population)", - "World/Europe/AUT/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/AZE/Health/People using at least basic sanitation services (% of population)", - "World/Asia/BGD/Health/People using at least basic sanitation services (% of population)", - "World/Latam/BRA/Health/People using at least basic sanitation services (% of population)", - "World/Latam/CHL/Health/People using at least basic sanitation services (% of population)", - "World/Pair/CHN/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/CMR/Health/People using at least basic sanitation services (% of population)", - "World/Latam/COL/Health/People using at least basic sanitation services (% of population)", - "World/Latam/CRI/Health/People using at least basic sanitation services (% of population)", - "World/Europe/DEU/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/DZA/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/EGY/Health/People using at least basic sanitation services (% of population)", - "World/Europe/ESP/Health/People using at least basic sanitation services (% of population)", - "World/Europe/FRA/Health/People using at least basic sanitation services (% of population)", - "World/Europe/GBR/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/GHA/Health/People using at least basic sanitation services (% of population)", - "World/Europe/GRC/Health/People using at least basic sanitation services (% of population)", - "World/Europe/HRV/Health/People using at least basic sanitation services (% of population)", - "World/Asia/IDN/Health/People using at least basic sanitation services (% of population)", - "World/Asia/IND/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/IRQ/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/ISR/Health/People using at least basic sanitation services (% of population)", - "World/Asia/KOR/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/LBR/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/MAR/Health/People using at least basic sanitation services (% of population)", - "World/Latam/MEX/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/MOZ/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/NGA/Health/People using at least basic sanitation services (% of population)", - "World/Europe/NLD/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/OMN/Health/People using at least basic sanitation services (% of population)", - "World/Latam/PAN/Health/People using at least basic sanitation services (% of population)", - "World/Latam/PER/Health/People using at least basic sanitation services (% of population)", - "World/Asia/PHL/Health/People using at least basic sanitation services (% of population)", - "World/Europe/POL/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/SAU/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/SEN/Health/People using at least basic sanitation services (% of population)", - "World/Europe/SWE/Health/People using at least basic sanitation services (% of population)", - "World/Asia/THA/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/TUR/Health/People using at least basic sanitation services (% of population)", - "World/Pair/USA/Health/People using at least basic sanitation services (% of population)", - "World/Latam/VEN/Health/People using at least basic sanitation services (% of population)", - "World/Asia/VNM/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/YEM/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/ZAF/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/ARE/Health/People using safely managed sanitation services (% of population)", - "World/Latam/ARG/Health/People using safely managed sanitation services (% of population)", - "World/Europe/AUT/Health/People using safely managed sanitation services (% of population)", - "World/Persian Gulf/AZE/Health/People using safely managed sanitation services (% of population)", - "World/Asia/BGD/Health/People using safely managed sanitation services (% of population)", - "World/Latam/BRA/Health/People using safely managed sanitation services (% of population)", - "World/Latam/CHL/Health/People using safely managed sanitation services (% of population)", - "World/Pair/CHN/Health/People using safely managed sanitation services (% of population)", - "World/Latam/COL/Health/People using safely managed sanitation services (% of population)", - "World/Latam/CRI/Health/People using safely managed sanitation services (% of population)", - "World/Europe/DEU/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/DZA/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/EGY/Health/People using safely managed sanitation services (% of population)", - "World/Europe/FRA/Health/People using safely managed sanitation services (% of population)", - "World/Europe/GBR/Health/People using safely managed sanitation services (% of population)", - "World/South Africa/GHA/Health/People using safely managed sanitation services (% of population)", - "World/Europe/GRC/Health/People using safely managed sanitation services (% of population)", - "World/Asia/IND/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/ISR/Health/People using safely managed sanitation services (% of population)", - "World/Asia/KOR/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/MAR/Health/People using safely managed sanitation services (% of population)", - "World/Latam/MEX/Health/People using safely managed sanitation services (% of population)", - "World/South Africa/NGA/Health/People using safely managed sanitation services (% of population)", - "World/Europe/NLD/Health/People using safely managed sanitation services (% of population)", - "World/Latam/PER/Health/People using safely managed sanitation services (% of population)", - "World/Asia/PHL/Health/People using safely managed sanitation services (% of population)", - "World/Europe/POL/Health/People using safely managed sanitation services (% of population)", - "World/Persian Gulf/QAT/Health/People using safely managed sanitation services (% of population)", - "World/Persian Gulf/SAU/Health/People using safely managed sanitation services (% of population)", - "World/South Africa/SEN/Health/People using safely managed sanitation services (% of population)", - "World/Europe/SWE/Health/People using safely managed sanitation services (% of population)", - "World/Asia/THA/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/TUR/Health/People using safely managed sanitation services (% of population)", - "World/Pair/USA/Health/People using safely managed sanitation services (% of population)", - "World/Latam/VEN/Health/People using safely managed sanitation services (% of population)", - "World/Persian Gulf/YEM/Health/People using safely managed sanitation services (% of population)", - "World/Europe/AUT/Agriculture/Permanent cropland (% of land area)", - "World/Persian Gulf/AZE/Agriculture/Permanent cropland (% of land area)", - "World/Latam/CHL/Agriculture/Permanent cropland (% of land area)", - "World/Pair/CHN/Agriculture/Permanent cropland (% of land area)", - "World/South Africa/CMR/Agriculture/Permanent cropland (% of land area)", - "World/Latam/COL/Agriculture/Permanent cropland (% of land area)", - "World/Latam/CRI/Agriculture/Permanent cropland (% of land area)", - "World/North Africa/DZA/Agriculture/Permanent cropland (% of land area)", - "World/Europe/FRA/Agriculture/Permanent cropland (% of land area)", - "World/Europe/GRC/Agriculture/Permanent cropland (% of land area)", - "World/Asia/IDN/Agriculture/Permanent cropland (% of land area)", - "World/Asia/IND/Agriculture/Permanent cropland (% of land area)", - "World/North Africa/MAR/Agriculture/Permanent cropland (% of land area)", - "World/Latam/MEX/Agriculture/Permanent cropland (% of land area)", - "World/South Africa/MOZ/Agriculture/Permanent cropland (% of land area)", - "World/Europe/NLD/Agriculture/Permanent cropland (% of land area)", - "World/Persian Gulf/OMN/Agriculture/Permanent cropland (% of land area)", - "World/Latam/PER/Agriculture/Permanent cropland (% of land area)", - "World/Asia/PHL/Agriculture/Permanent cropland (% of land area)", - "World/South Africa/SEN/Agriculture/Permanent cropland (% of land area)", - "World/Asia/THA/Agriculture/Permanent cropland (% of land area)", - "World/North Africa/TUR/Agriculture/Permanent cropland (% of land area)", - "World/Asia/VNM/Agriculture/Permanent cropland (% of land area)", - "World/Persian Gulf/YEM/Agriculture/Permanent cropland (% of land area)", - "World/South Africa/ZAF/Agriculture/Permanent cropland (% of land area)", - "World/Persian Gulf/ARE/Demography/Population ages 0-14 (% of total population)", - "World/Latam/ARG/Demography/Population ages 0-14 (% of total population)", - "World/Europe/AUT/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/AZE/Demography/Population ages 0-14 (% of total population)", - "World/Asia/BGD/Demography/Population ages 0-14 (% of total population)", - "World/Latam/BRA/Demography/Population ages 0-14 (% of total population)", - "World/Latam/CHL/Demography/Population ages 0-14 (% of total population)", - "World/Pair/CHN/Demography/Population ages 0-14 (% of total population)", - "World/South Africa/CMR/Demography/Population ages 0-14 (% of total population)", - "World/Latam/COL/Demography/Population ages 0-14 (% of total population)", - "World/Latam/CRI/Demography/Population ages 0-14 (% of total population)", - "World/North Africa/EGY/Demography/Population ages 0-14 (% of total population)", - "World/Europe/FRA/Demography/Population ages 0-14 (% of total population)", - "World/South Africa/GHA/Demography/Population ages 0-14 (% of total population)", - "World/Europe/HRV/Demography/Population ages 0-14 (% of total population)", - "World/Asia/IDN/Demography/Population ages 0-14 (% of total population)", - "World/Asia/IND/Demography/Population ages 0-14 (% of total population)", - "World/Asia/KOR/Demography/Population ages 0-14 (% of total population)", - "World/North Africa/MAR/Demography/Population ages 0-14 (% of total population)", - "World/Latam/MEX/Demography/Population ages 0-14 (% of total population)", - "World/Europe/NLD/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/OMN/Demography/Population ages 0-14 (% of total population)", - "World/Latam/PAN/Demography/Population ages 0-14 (% of total population)", - "World/Latam/PER/Demography/Population ages 0-14 (% of total population)", - "World/Asia/PHL/Demography/Population ages 0-14 (% of total population)", - "World/Europe/POL/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/QAT/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/SAU/Demography/Population ages 0-14 (% of total population)", - "World/South Africa/SEN/Demography/Population ages 0-14 (% of total population)", - "World/Asia/THA/Demography/Population ages 0-14 (% of total population)", - "World/North Africa/TUR/Demography/Population ages 0-14 (% of total population)", - "World/Pair/USA/Demography/Population ages 0-14 (% of total population)", - "World/Latam/VEN/Demography/Population ages 0-14 (% of total population)", - "World/Asia/VNM/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/YEM/Demography/Population ages 0-14 (% of total population)", - "World/South Africa/ZAF/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/ARE/Demography/Population ages 15-64 (% of total population)", - "World/Latam/ARG/Demography/Population ages 15-64 (% of total population)", - "World/Persian Gulf/AZE/Demography/Population ages 15-64 (% of total population)", - "World/Asia/BGD/Demography/Population ages 15-64 (% of total population)", - "World/Latam/BRA/Demography/Population ages 15-64 (% of total population)", - "World/Latam/CHL/Demography/Population ages 15-64 (% of total population)", - "World/Pair/CHN/Demography/Population ages 15-64 (% of total population)", - "World/South Africa/CMR/Demography/Population ages 15-64 (% of total population)", - "World/Latam/COL/Demography/Population ages 15-64 (% of total population)", - "World/Latam/CRI/Demography/Population ages 15-64 (% of total population)", - "World/Europe/DEU/Demography/Population ages 15-64 (% of total population)", - "World/North Africa/EGY/Demography/Population ages 15-64 (% of total population)", - "World/Europe/FRA/Demography/Population ages 15-64 (% of total population)", - "World/Europe/GBR/Demography/Population ages 15-64 (% of total population)", - "World/South Africa/GHA/Demography/Population ages 15-64 (% of total population)", - "World/Europe/GRC/Demography/Population ages 15-64 (% of total population)", - "World/Asia/IDN/Demography/Population ages 15-64 (% of total population)", - "World/Asia/IND/Demography/Population ages 15-64 (% of total population)", - "World/North Africa/ISR/Demography/Population ages 15-64 (% of total population)", - "World/North Africa/MAR/Demography/Population ages 15-64 (% of total population)", - "World/Latam/MEX/Demography/Population ages 15-64 (% of total population)", - "World/Europe/NLD/Demography/Population ages 15-64 (% of total population)", - "World/Persian Gulf/OMN/Demography/Population ages 15-64 (% of total population)", - "World/Latam/PAN/Demography/Population ages 15-64 (% of total population)", - "World/Latam/PER/Demography/Population ages 15-64 (% of total population)", - "World/Asia/PHL/Demography/Population ages 15-64 (% of total population)", - "World/Europe/POL/Demography/Population ages 15-64 (% of total population)", - "World/Persian Gulf/QAT/Demography/Population ages 15-64 (% of total population)", - "World/Persian Gulf/SAU/Demography/Population ages 15-64 (% of total population)", - "World/South Africa/SEN/Demography/Population ages 15-64 (% of total population)", - "World/North Africa/TUR/Demography/Population ages 15-64 (% of total population)", - "World/Pair/USA/Demography/Population ages 15-64 (% of total population)", - "World/Latam/VEN/Demography/Population ages 15-64 (% of total population)", - "World/Asia/VNM/Demography/Population ages 15-64 (% of total population)", - "World/Persian Gulf/YEM/Demography/Population ages 15-64 (% of total population)", - "World/South Africa/ZAF/Demography/Population ages 15-64 (% of total population)", - "World/Persian Gulf/ARE/Demography/Population ages 65 and above (% of total population)", - "World/Latam/ARG/Demography/Population ages 65 and above (% of total population)", - "World/Europe/AUT/Demography/Population ages 65 and above (% of total population)", - "World/Asia/BGD/Demography/Population ages 65 and above (% of total population)", - "World/Latam/BRA/Demography/Population ages 65 and above (% of total population)", - "World/Latam/CHL/Demography/Population ages 65 and above (% of total population)", - "World/Pair/CHN/Demography/Population ages 65 and above (% of total population)", - "World/South Africa/CMR/Demography/Population ages 65 and above (% of total population)", - "World/Latam/COL/Demography/Population ages 65 and above (% of total population)", - "World/Latam/CRI/Demography/Population ages 65 and above (% of total population)", - "World/Europe/DEU/Demography/Population ages 65 and above (% of total population)", - "World/North Africa/DZA/Demography/Population ages 65 and above (% of total population)", - "World/North Africa/EGY/Demography/Population ages 65 and above (% of total population)", - "World/Europe/FRA/Demography/Population ages 65 and above (% of total population)", - "World/Europe/GBR/Demography/Population ages 65 and above (% of total population)", - "World/Europe/GRC/Demography/Population ages 65 and above (% of total population)", - "World/Europe/HRV/Demography/Population ages 65 and above (% of total population)", - "World/Asia/IDN/Demography/Population ages 65 and above (% of total population)", - "World/Asia/IND/Demography/Population ages 65 and above (% of total population)", - "World/North Africa/ISR/Demography/Population ages 65 and above (% of total population)", - "World/Asia/KOR/Demography/Population ages 65 and above (% of total population)", - "World/North Africa/MAR/Demography/Population ages 65 and above (% of total population)", - "World/Latam/MEX/Demography/Population ages 65 and above (% of total population)", - "World/South Africa/MOZ/Demography/Population ages 65 and above (% of total population)", - "World/South Africa/NGA/Demography/Population ages 65 and above (% of total population)", - "World/Europe/NLD/Demography/Population ages 65 and above (% of total population)", - "World/Latam/PAN/Demography/Population ages 65 and above (% of total population)", - "World/Latam/PER/Demography/Population ages 65 and above (% of total population)", - "World/Asia/PHL/Demography/Population ages 65 and above (% of total population)", - "World/Europe/POL/Demography/Population ages 65 and above (% of total population)", - "World/Persian Gulf/QAT/Demography/Population ages 65 and above (% of total population)", - "World/Asia/THA/Demography/Population ages 65 and above (% of total population)", - "World/North Africa/TUR/Demography/Population ages 65 and above (% of total population)", - "World/Pair/USA/Demography/Population ages 65 and above (% of total population)", - "World/Latam/VEN/Demography/Population ages 65 and above (% of total population)", - "World/Asia/VNM/Demography/Population ages 65 and above (% of total population)", - "World/Persian Gulf/YEM/Demography/Population ages 65 and above (% of total population)", - "World/South Africa/ZAF/Demography/Population ages 65 and above (% of total population)", - "World/Persian Gulf/ARE/Demography/Population in largest city", - "World/Latam/ARG/Demography/Population in largest city", - "World/Europe/AUT/Demography/Population in largest city", - "World/Persian Gulf/AZE/Demography/Population in largest city", - "World/Asia/BGD/Demography/Population in largest city", - "World/Latam/BRA/Demography/Population in largest city", - "World/Latam/CHL/Demography/Population in largest city", - "World/Pair/CHN/Demography/Population in largest city", - "World/South Africa/CMR/Demography/Population in largest city", - "World/Latam/COL/Demography/Population in largest city", - "World/Latam/CRI/Demography/Population in largest city", - "World/North Africa/DZA/Demography/Population in largest city", - "World/North Africa/EGY/Demography/Population in largest city", - "World/Europe/ESP/Demography/Population in largest city", - "World/Europe/FRA/Demography/Population in largest city", - "World/Europe/GBR/Demography/Population in largest city", - "World/South Africa/GHA/Demography/Population in largest city", - "World/Europe/GRC/Demography/Population in largest city", - "World/Europe/HRV/Demography/Population in largest city", - "World/Asia/IDN/Demography/Population in largest city", - "World/Asia/IND/Demography/Population in largest city", - "World/North Africa/ISR/Demography/Population in largest city", - "World/North Africa/MAR/Demography/Population in largest city", - "World/Latam/MEX/Demography/Population in largest city", - "World/South Africa/MOZ/Demography/Population in largest city", - "World/South Africa/NGA/Demography/Population in largest city", - "World/Europe/NLD/Demography/Population in largest city", - "World/Persian Gulf/OMN/Demography/Population in largest city", - "World/Latam/PAN/Demography/Population in largest city", - "World/Latam/PER/Demography/Population in largest city", - "World/Asia/PHL/Demography/Population in largest city", - "World/Europe/POL/Demography/Population in largest city", - "World/Persian Gulf/QAT/Demography/Population in largest city", - "World/Persian Gulf/SAU/Demography/Population in largest city", - "World/South Africa/SEN/Demography/Population in largest city", - "World/Asia/THA/Demography/Population in largest city", - "World/North Africa/TUR/Demography/Population in largest city", - "World/Pair/USA/Demography/Population in largest city", - "World/Latam/VEN/Demography/Population in largest city", - "World/Asia/VNM/Demography/Population in largest city", - "World/Persian Gulf/YEM/Demography/Population in largest city", - "World/South Africa/ZAF/Demography/Population in largest city", - "World/Persian Gulf/ARE/Demography/Population in the largest city (% of urban population)", - "World/Latam/ARG/Demography/Population in the largest city (% of urban population)", - "World/Europe/AUT/Demography/Population in the largest city (% of urban population)", - "World/Persian Gulf/AZE/Demography/Population in the largest city (% of urban population)", - "World/Asia/BGD/Demography/Population in the largest city (% of urban population)", - "World/Latam/CHL/Demography/Population in the largest city (% of urban population)", - "World/South Africa/CMR/Demography/Population in the largest city (% of urban population)", - "World/Latam/COL/Demography/Population in the largest city (% of urban population)", - "World/Latam/CRI/Demography/Population in the largest city (% of urban population)", - "World/North Africa/DZA/Demography/Population in the largest city (% of urban population)", - "World/North Africa/EGY/Demography/Population in the largest city (% of urban population)", - "World/Europe/FRA/Demography/Population in the largest city (% of urban population)", - "World/Europe/GBR/Demography/Population in the largest city (% of urban population)", - "World/Asia/IDN/Demography/Population in the largest city (% of urban population)", - "World/Asia/IND/Demography/Population in the largest city (% of urban population)", - "World/North Africa/ISR/Demography/Population in the largest city (% of urban population)", - "World/Asia/KOR/Demography/Population in the largest city (% of urban population)", - "World/North Africa/MAR/Demography/Population in the largest city (% of urban population)", - "World/Latam/MEX/Demography/Population in the largest city (% of urban population)", - "World/South Africa/MOZ/Demography/Population in the largest city (% of urban population)", - "World/South Africa/NGA/Demography/Population in the largest city (% of urban population)", - "World/Europe/NLD/Demography/Population in the largest city (% of urban population)", - "World/Latam/PAN/Demography/Population in the largest city (% of urban population)", - "World/Latam/PER/Demography/Population in the largest city (% of urban population)", - "World/Europe/POL/Demography/Population in the largest city (% of urban population)", - "World/Persian Gulf/QAT/Demography/Population in the largest city (% of urban population)", - "World/Persian Gulf/SAU/Demography/Population in the largest city (% of urban population)", - "World/South Africa/SEN/Demography/Population in the largest city (% of urban population)", - "World/North Africa/TUR/Demography/Population in the largest city (% of urban population)", - "World/Pair/USA/Demography/Population in the largest city (% of urban population)", - "World/Latam/VEN/Demography/Population in the largest city (% of urban population)", - "World/Asia/VNM/Demography/Population in the largest city (% of urban population)", - "World/Persian Gulf/YEM/Demography/Population in the largest city (% of urban population)", - "World/South Africa/ZAF/Demography/Population in the largest city (% of urban population)", - "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million", - "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million", - "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/CHL/Demography/Population in urban agglomerations of more than 1 million", - "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million", - "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/DEU/Demography/Population in urban agglomerations of more than 1 million", - "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million", - "World/North Africa/EGY/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/ESP/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/FRA/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million", - "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million", - "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million", - "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million", - "World/North Africa/ISR/Demography/Population in urban agglomerations of more than 1 million", - "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million", - "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million", - "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million", - "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/NLD/Demography/Population in urban agglomerations of more than 1 million", - "World/Persian Gulf/OMN/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million", - "World/Asia/PHL/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million", - "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million", - "World/South Africa/SEN/Demography/Population in urban agglomerations of more than 1 million", - "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million", - "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million", - "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/VEN/Demography/Population in urban agglomerations of more than 1 million", - "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million", - "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million", - "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million", - "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Persian Gulf/AZE/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Asia/BGD/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Latam/CHL/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Pair/CHN/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/South Africa/CMR/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/North Africa/EGY/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Europe/GBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/South Africa/GHA/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Asia/IDN/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Asia/IND/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/South Africa/LBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/North Africa/MAR/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/South Africa/MOZ/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Latam/PAN/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Latam/PER/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/South Africa/SEN/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Europe/SWE/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Asia/THA/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/North Africa/TUR/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Asia/VNM/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Persian Gulf/YEM/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/South Africa/ZAF/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Persian Gulf/ARE/Health/Pregnant women receiving prenatal care (%)", - "World/Persian Gulf/AZE/Health/Pregnant women receiving prenatal care (%)", - "World/Asia/BGD/Health/Pregnant women receiving prenatal care (%)", - "World/Pair/CHN/Health/Pregnant women receiving prenatal care (%)", - "World/South Africa/CMR/Health/Pregnant women receiving prenatal care (%)", - "World/Latam/COL/Health/Pregnant women receiving prenatal care (%)", - "World/Latam/CRI/Health/Pregnant women receiving prenatal care (%)", - "World/North Africa/DZA/Health/Pregnant women receiving prenatal care (%)", - "World/North Africa/EGY/Health/Pregnant women receiving prenatal care (%)", - "World/Asia/IDN/Health/Pregnant women receiving prenatal care (%)", - "World/Asia/IND/Health/Pregnant women receiving prenatal care (%)", - "World/South Africa/LBR/Health/Pregnant women receiving prenatal care (%)", - "World/North Africa/MAR/Health/Pregnant women receiving prenatal care (%)", - "World/South Africa/MOZ/Health/Pregnant women receiving prenatal care (%)", - "World/South Africa/NGA/Health/Pregnant women receiving prenatal care (%)", - "World/Latam/PER/Health/Pregnant women receiving prenatal care (%)", - "World/Asia/PHL/Health/Pregnant women receiving prenatal care (%)", - "World/Persian Gulf/QAT/Health/Pregnant women receiving prenatal care (%)", - "World/Persian Gulf/SAU/Health/Pregnant women receiving prenatal care (%)", - "World/South Africa/SEN/Health/Pregnant women receiving prenatal care (%)", - "World/North Africa/TUR/Health/Pregnant women receiving prenatal care (%)", - "World/Latam/VEN/Health/Pregnant women receiving prenatal care (%)", - "World/Asia/VNM/Health/Pregnant women receiving prenatal care (%)", - "World/Persian Gulf/YEM/Health/Pregnant women receiving prenatal care (%)", - "World/Europe/AUT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Persian Gulf/AZE/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Asia/BGD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/BRA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Pair/CHN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/South Africa/CMR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/COL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/CRI/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Europe/DEU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/North Africa/DZA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/North Africa/EGY/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Europe/ESP/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Europe/GBR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/South Africa/GHA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Europe/GRC/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Asia/IND/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/North Africa/ISR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/North Africa/MAR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/MEX/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/South Africa/MOZ/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/South Africa/NGA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Europe/NLD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Persian Gulf/OMN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/PAN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/PER/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Asia/PHL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Persian Gulf/QAT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Persian Gulf/SAU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/South Africa/SEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Pair/USA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/VEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Asia/VNM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Persian Gulf/YEM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Persian Gulf/AZE/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Asia/BGD/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Latam/BRA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Latam/CHL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Pair/CHN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/South Africa/CMR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Latam/COL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Latam/CRI/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/North Africa/DZA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/North Africa/EGY/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Europe/ESP/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Europe/GBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/South Africa/GHA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Persian Gulf/IRQ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/North Africa/ISR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Asia/KOR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/South Africa/LBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/North Africa/MAR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Latam/MEX/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/South Africa/MOZ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/South Africa/NGA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Europe/NLD/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Persian Gulf/OMN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Latam/PAN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Latam/PER/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Asia/PHL/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Persian Gulf/QAT/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Persian Gulf/SAU/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/South Africa/SEN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Asia/THA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Pair/USA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Latam/VEN/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Asia/VNM/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Persian Gulf/YEM/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/South Africa/ZAF/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Persian Gulf/ARE/Health/Prevalence of anemia among pregnant women (%)", - "World/Latam/ARG/Health/Prevalence of anemia among pregnant women (%)", - "World/Persian Gulf/AZE/Health/Prevalence of anemia among pregnant women (%)", - "World/Asia/BGD/Health/Prevalence of anemia among pregnant women (%)", - "World/Latam/BRA/Health/Prevalence of anemia among pregnant women (%)", - "World/Latam/CHL/Health/Prevalence of anemia among pregnant women (%)", - "World/Pair/CHN/Health/Prevalence of anemia among pregnant women (%)", - "World/South Africa/CMR/Health/Prevalence of anemia among pregnant women (%)", - "World/Latam/COL/Health/Prevalence of anemia among pregnant women (%)", - "World/Latam/CRI/Health/Prevalence of anemia among pregnant women (%)", - "World/North Africa/DZA/Health/Prevalence of anemia among pregnant women (%)", - "World/North Africa/EGY/Health/Prevalence of anemia among pregnant women (%)", - "World/Europe/GBR/Health/Prevalence of anemia among pregnant women (%)", - "World/South Africa/GHA/Health/Prevalence of anemia among pregnant women (%)", - "World/Europe/HRV/Health/Prevalence of anemia among pregnant women (%)", - "World/Asia/IND/Health/Prevalence of anemia among pregnant women (%)", - "World/Persian Gulf/IRQ/Health/Prevalence of anemia among pregnant women (%)", - "World/North Africa/ISR/Health/Prevalence of anemia among pregnant women (%)", - "World/Asia/KOR/Health/Prevalence of anemia among pregnant women (%)", - "World/South Africa/LBR/Health/Prevalence of anemia among pregnant women (%)", - "World/North Africa/MAR/Health/Prevalence of anemia among pregnant women (%)", - "World/Latam/MEX/Health/Prevalence of anemia among pregnant women (%)", - "World/South Africa/MOZ/Health/Prevalence of anemia among pregnant women (%)", - "World/South Africa/NGA/Health/Prevalence of anemia among pregnant women (%)", - "World/Persian Gulf/OMN/Health/Prevalence of anemia among pregnant women (%)", - "World/Latam/PAN/Health/Prevalence of anemia among pregnant women (%)", - "World/Latam/PER/Health/Prevalence of anemia among pregnant women (%)", - "World/Asia/PHL/Health/Prevalence of anemia among pregnant women (%)", - "World/Persian Gulf/QAT/Health/Prevalence of anemia among pregnant women (%)", - "World/Persian Gulf/SAU/Health/Prevalence of anemia among pregnant women (%)", - "World/South Africa/SEN/Health/Prevalence of anemia among pregnant women (%)", - "World/Pair/USA/Health/Prevalence of anemia among pregnant women (%)", - "World/Latam/VEN/Health/Prevalence of anemia among pregnant women (%)", - "World/Asia/VNM/Health/Prevalence of anemia among pregnant women (%)", - "World/Persian Gulf/YEM/Health/Prevalence of anemia among pregnant women (%)", - "World/South Africa/ZAF/Health/Prevalence of anemia among pregnant women (%)", - "World/Latam/ARG/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Persian Gulf/AZE/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Asia/BGD/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Latam/BRA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Latam/CHL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Pair/CHN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/South Africa/CMR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Latam/COL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Latam/CRI/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/North Africa/DZA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/North Africa/EGY/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Europe/ESP/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Europe/FRA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Europe/GBR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/South Africa/GHA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Europe/GRC/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Persian Gulf/IRQ/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/North Africa/ISR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Asia/KOR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/South Africa/LBR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/North Africa/MAR/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Latam/MEX/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/South Africa/MOZ/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/South Africa/NGA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Europe/NLD/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Persian Gulf/OMN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Latam/PAN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Latam/PER/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Asia/PHL/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Persian Gulf/QAT/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Persian Gulf/SAU/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/South Africa/SEN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Asia/THA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Pair/USA/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Latam/VEN/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Asia/VNM/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Persian Gulf/YEM/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/South Africa/ZAF/Health/Prevalence of anemia among women of reproductive age (% of women ages 15-49)", - "World/Latam/ARG/Health/Prevalence of current tobacco use (% of adults)", - "World/Europe/AUT/Health/Prevalence of current tobacco use (% of adults)", - "World/Persian Gulf/AZE/Health/Prevalence of current tobacco use (% of adults)", - "World/Asia/BGD/Health/Prevalence of current tobacco use (% of adults)", - "World/Latam/BRA/Health/Prevalence of current tobacco use (% of adults)", - "World/Latam/CHL/Health/Prevalence of current tobacco use (% of adults)", - "World/Pair/CHN/Health/Prevalence of current tobacco use (% of adults)", - "World/South Africa/CMR/Health/Prevalence of current tobacco use (% of adults)", - "World/Latam/COL/Health/Prevalence of current tobacco use (% of adults)", - "World/Latam/CRI/Health/Prevalence of current tobacco use (% of adults)", - "World/Europe/DEU/Health/Prevalence of current tobacco use (% of adults)", - "World/North Africa/DZA/Health/Prevalence of current tobacco use (% of adults)", - "World/Europe/ESP/Health/Prevalence of current tobacco use (% of adults)", - "World/Europe/FRA/Health/Prevalence of current tobacco use (% of adults)", - "World/Europe/GBR/Health/Prevalence of current tobacco use (% of adults)", - "World/South Africa/GHA/Health/Prevalence of current tobacco use (% of adults)", - "World/Europe/GRC/Health/Prevalence of current tobacco use (% of adults)", - "World/Europe/HRV/Health/Prevalence of current tobacco use (% of adults)", - "World/Asia/IDN/Health/Prevalence of current tobacco use (% of adults)", - "World/Asia/IND/Health/Prevalence of current tobacco use (% of adults)", - "World/Persian Gulf/IRQ/Health/Prevalence of current tobacco use (% of adults)", - "World/North Africa/ISR/Health/Prevalence of current tobacco use (% of adults)", - "World/Asia/KOR/Health/Prevalence of current tobacco use (% of adults)", - "World/South Africa/LBR/Health/Prevalence of current tobacco use (% of adults)", - "World/North Africa/MAR/Health/Prevalence of current tobacco use (% of adults)", - "World/Latam/MEX/Health/Prevalence of current tobacco use (% of adults)", - "World/South Africa/MOZ/Health/Prevalence of current tobacco use (% of adults)", - "World/South Africa/NGA/Health/Prevalence of current tobacco use (% of adults)", - "World/Europe/NLD/Health/Prevalence of current tobacco use (% of adults)", - "World/Persian Gulf/OMN/Health/Prevalence of current tobacco use (% of adults)", - "World/Latam/PAN/Health/Prevalence of current tobacco use (% of adults)", - "World/Latam/PER/Health/Prevalence of current tobacco use (% of adults)", - "World/Asia/PHL/Health/Prevalence of current tobacco use (% of adults)", - "World/Europe/POL/Health/Prevalence of current tobacco use (% of adults)", - "World/Persian Gulf/QAT/Health/Prevalence of current tobacco use (% of adults)", - "World/South Africa/SEN/Health/Prevalence of current tobacco use (% of adults)", - "World/Europe/SWE/Health/Prevalence of current tobacco use (% of adults)", - "World/Asia/THA/Health/Prevalence of current tobacco use (% of adults)", - "World/North Africa/TUR/Health/Prevalence of current tobacco use (% of adults)", - "World/Pair/USA/Health/Prevalence of current tobacco use (% of adults)", - "World/Asia/VNM/Health/Prevalence of current tobacco use (% of adults)", - "World/Persian Gulf/YEM/Health/Prevalence of current tobacco use (% of adults)", - "World/South Africa/ZAF/Health/Prevalence of current tobacco use (% of adults)", - "World/Latam/ARG/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/Persian Gulf/AZE/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/Asia/BGD/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/Latam/CHL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/Pair/CHN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/Latam/COL/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/Latam/CRI/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/North Africa/DZA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/North Africa/EGY/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/Europe/GRC/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/Asia/IDN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/Asia/IND/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/Asia/KOR/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/North Africa/MAR/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/Latam/MEX/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/South Africa/NGA/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/Europe/NLD/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - "World/Persian Gulf/OMN/Health/Prevalence of overweight (modeled estimate, % of children under 5)", - 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"World/South Africa/GHA/Economy/Primary income receipts (BoP, current US$)", - "World/Europe/GRC/Economy/Primary income receipts (BoP, current US$)", - "World/Europe/HRV/Economy/Primary income receipts (BoP, current US$)", - "World/Asia/IND/Economy/Primary income receipts (BoP, current US$)", - "World/North Africa/ISR/Economy/Primary income receipts (BoP, current US$)", - "World/Asia/KOR/Economy/Primary income receipts (BoP, current US$)", - "World/South Africa/LBR/Economy/Primary income receipts (BoP, current US$)", - "World/Latam/MEX/Economy/Primary income receipts (BoP, current US$)", - "World/Europe/NLD/Economy/Primary income receipts (BoP, current US$)", - "World/Latam/PER/Economy/Primary income receipts (BoP, current US$)", - "World/Asia/PHL/Economy/Primary income receipts (BoP, current US$)", - "World/Europe/POL/Economy/Primary income receipts (BoP, current US$)", - "World/Persian Gulf/QAT/Economy/Primary income receipts (BoP, current US$)", - "World/South Africa/SEN/Economy/Primary income receipts (BoP, current US$)", - "World/Asia/THA/Economy/Primary income receipts (BoP, current US$)", - "World/Pair/USA/Economy/Primary income receipts (BoP, current US$)", - "World/Asia/VNM/Economy/Primary income receipts (BoP, current US$)", - "World/Persian Gulf/YEM/Economy/Primary income receipts (BoP, current US$)", - "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/AZE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/BGD/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/BRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/COL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/CRI/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/North Africa/EGY/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/IND/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/LBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/MEX/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/NGA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/NLD/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/OMN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/PAN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/PER/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/PHL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/POL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/QAT/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/SAU/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/SEN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Pair/USA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/YEM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/COL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/GRC/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - 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"World/Asia/PHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/POL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Persian Gulf/QAT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Persian Gulf/SAU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/South Africa/SEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/THA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Pair/USA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/VEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Persian Gulf/ARE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/ARG/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/AUT/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/AZE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/BGD/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/BRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/CHL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Pair/CHN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/CMR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/COL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/CRI/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/DZA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/EGY/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/ESP/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/FRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/GBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/GHA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/GRC/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/HRV/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/IDN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/IND/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/ISR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/KOR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/LBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/MAR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/MEX/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/MOZ/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/NGA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/NLD/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/OMN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/PAN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/PER/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/PHL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/POL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/QAT/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/SAU/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/SEN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/SWE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/THA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/TUR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Pair/USA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/VNM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/YEM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/ARE/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/ARG/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/AUT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/BGD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/CHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Pair/CHN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/CMR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/COL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/DEU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/DZA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/EGY/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/ESP/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/FRA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/GBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/GHA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/GRC/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/HRV/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/IDN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/IND/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/ISR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/KOR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/LBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/MAR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/NGA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/NLD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Persian Gulf/OMN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/PAN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/PER/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/PHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/POL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Persian Gulf/QAT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Persian Gulf/SAU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/SEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/THA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/TUR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/VEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/VNM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Persian Gulf/YEM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/ARG/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Persian Gulf/AZE/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/CHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Pair/CHN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/COL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/CRI/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/North Africa/EGY/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Europe/ESP/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/South Africa/GHA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Europe/GRC/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Asia/IND/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/MEX/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/South Africa/MOZ/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/South Africa/NGA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/PAN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/PER/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Asia/PHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Persian Gulf/SAU/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/South Africa/SEN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Asia/THA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/North Africa/TUR/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Pair/USA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Asia/VNM/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Persian Gulf/YEM/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Persian Gulf/AZE/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/BGD/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Latam/BRA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Latam/CHL/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Pair/CHN/Equality/Proportion of seats held by women in national parliaments (%)", - "World/South Africa/CMR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/North Africa/DZA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/North Africa/EGY/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Europe/GBR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/South Africa/GHA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/IND/Equality/Proportion of seats held by women in national parliaments (%)", - "World/North Africa/ISR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/KOR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Latam/MEX/Equality/Proportion of seats held by women in national parliaments (%)", - "World/South Africa/MOZ/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Latam/PAN/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/PHL/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Europe/POL/Equality/Proportion of seats held by women in national parliaments (%)", - "World/South Africa/SEN/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/THA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/North Africa/TUR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Pair/USA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/VNM/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/GHA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Asia/IND/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/NGA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/YEM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Pair/CHN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/POL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/VEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Persian Gulf/ARE/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Latam/ARG/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/BGD/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Pair/CHN/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Latam/CRI/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/DEU/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/North Africa/EGY/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/GBR/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/South Africa/GHA/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/GRC/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/IDN/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/IND/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/KOR/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/North Africa/MAR/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Latam/MEX/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/South Africa/MOZ/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/NLD/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Latam/PAN/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/PHL/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/POL/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Persian Gulf/SAU/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/SWE/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/North Africa/TUR/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Pair/USA/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/VNM/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/South Africa/ZAF/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Persian Gulf/ARE/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/ARG/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/AUT/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/AZE/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/BGD/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/BRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/CHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Pair/CHN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/CMR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/COL/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/CRI/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/DZA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/EGY/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/ESP/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/FRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/GBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/GHA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/IDN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/IND/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/ISR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/KOR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/LBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/MAR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/MEX/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/MOZ/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/NGA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/NLD/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/OMN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/PAN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/PER/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/PHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/POL/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/QAT/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/SAU/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/SEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/THA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/TUR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Pair/USA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/VEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/VNM/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/YEM/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/ZAF/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/AUT/R&D/Researchers in R&D (per million people)", - "World/Latam/BRA/R&D/Researchers in R&D (per million people)", - "World/Pair/CHN/R&D/Researchers in R&D (per million people)", - "World/Europe/DEU/R&D/Researchers in R&D (per million people)", - "World/North Africa/DZA/R&D/Researchers in R&D (per million people)", - "World/Europe/ESP/R&D/Researchers in R&D (per million people)", - "World/Europe/FRA/R&D/Researchers in R&D (per million people)", - "World/Europe/GBR/R&D/Researchers in R&D (per million people)", - "World/South Africa/GHA/R&D/Researchers in R&D (per million people)", - "World/Europe/GRC/R&D/Researchers in R&D (per million people)", - "World/Asia/IND/R&D/Researchers in R&D (per million people)", - "World/Asia/KOR/R&D/Researchers in R&D (per million people)", - "World/North Africa/MAR/R&D/Researchers in R&D (per million people)", - "World/South Africa/MOZ/R&D/Researchers in R&D (per million people)", - "World/Europe/NLD/R&D/Researchers in R&D (per million people)", - "World/Persian Gulf/OMN/R&D/Researchers in R&D (per million people)", - "World/Asia/PHL/R&D/Researchers in R&D (per million people)", - "World/Europe/POL/R&D/Researchers in R&D (per million people)", - "World/Asia/THA/R&D/Researchers in R&D (per million people)", - "World/North Africa/TUR/R&D/Researchers in R&D (per million people)", - "World/Pair/USA/R&D/Researchers in R&D (per million people)", - "World/Latam/VEN/R&D/Researchers in R&D (per million people)", - "World/Persian Gulf/AZE/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/BGD/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/BRA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/CHL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Pair/CHN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/CRI/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/North Africa/EGY/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Europe/ESP/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/South Africa/GHA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/IND/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/KOR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/North Africa/MAR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/MEX/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/PAN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/PER/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Europe/POL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/THA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Pair/USA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/VNM/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Persian Gulf/AZE/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/BGD/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/BRA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/CHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Pair/CHN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/South Africa/CMR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/COL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/CRI/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/North Africa/DZA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/North Africa/EGY/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/South Africa/GHA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/IDN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/IND/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/North Africa/MAR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/MEX/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/South Africa/MOZ/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/PAN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/PER/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/PHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Europe/POL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/South Africa/SEN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/THA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/VNM/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Persian Gulf/ARE/Demography/Rural population", - "World/Latam/ARG/Demography/Rural population", - "World/Europe/AUT/Demography/Rural population", - "World/Persian Gulf/AZE/Demography/Rural population", - "World/Asia/BGD/Demography/Rural population", - "World/Latam/BRA/Demography/Rural population", - "World/Pair/CHN/Demography/Rural population", - "World/South Africa/CMR/Demography/Rural population", - "World/Latam/COL/Demography/Rural population", - "World/Latam/CRI/Demography/Rural population", - "World/North Africa/DZA/Demography/Rural population", - "World/North Africa/EGY/Demography/Rural population", - "World/Europe/FRA/Demography/Rural population", - "World/Europe/GBR/Demography/Rural population", - "World/South Africa/GHA/Demography/Rural population", - "World/Europe/GRC/Demography/Rural population", - "World/Europe/HRV/Demography/Rural population", - "World/Asia/IDN/Demography/Rural population", - "World/Asia/IND/Demography/Rural population", - "World/North Africa/ISR/Demography/Rural population", - "World/South Africa/LBR/Demography/Rural population", - "World/North Africa/MAR/Demography/Rural population", - "World/South Africa/MOZ/Demography/Rural population", - "World/South Africa/NGA/Demography/Rural population", - "World/Europe/NLD/Demography/Rural population", - "World/Persian Gulf/OMN/Demography/Rural population", - "World/Latam/PAN/Demography/Rural population", - "World/Asia/PHL/Demography/Rural population", - "World/Europe/POL/Demography/Rural population", - "World/Persian Gulf/QAT/Demography/Rural population", - "World/Persian Gulf/SAU/Demography/Rural population", - "World/South Africa/SEN/Demography/Rural population", - "World/North Africa/TUR/Demography/Rural population", - "World/Pair/USA/Demography/Rural population", - "World/Asia/VNM/Demography/Rural population", - "World/Persian Gulf/YEM/Demography/Rural population", - "World/Persian Gulf/ARE/Demography/Rural population (% of total population)", - "World/Latam/ARG/Demography/Rural population (% of total population)", - "World/Persian Gulf/AZE/Demography/Rural population (% of total population)", - "World/Asia/BGD/Demography/Rural population (% of total population)", - "World/Latam/BRA/Demography/Rural population (% of total population)", - "World/Latam/CHL/Demography/Rural population (% of total population)", - "World/Pair/CHN/Demography/Rural population (% of total population)", - "World/South Africa/CMR/Demography/Rural population (% of total population)", - "World/Latam/COL/Demography/Rural population (% of total population)", - "World/Latam/CRI/Demography/Rural population (% of total population)", - "World/Europe/DEU/Demography/Rural population (% of total population)", - "World/North Africa/DZA/Demography/Rural population (% of total population)", - "World/Europe/ESP/Demography/Rural population (% of total population)", - "World/Europe/FRA/Demography/Rural population (% of total population)", - "World/Europe/GBR/Demography/Rural population (% of total population)", - "World/South Africa/GHA/Demography/Rural population (% of total population)", - "World/Europe/GRC/Demography/Rural population (% of total population)", - "World/Europe/HRV/Demography/Rural population (% of total population)", - "World/Asia/IDN/Demography/Rural population (% of total population)", - "World/Asia/IND/Demography/Rural population (% of total population)", - "World/Persian Gulf/IRQ/Demography/Rural population (% of total population)", - "World/North Africa/ISR/Demography/Rural population (% of total population)", - "World/South Africa/LBR/Demography/Rural population (% of total population)", - "World/North Africa/MAR/Demography/Rural population (% of total population)", - "World/Latam/MEX/Demography/Rural population (% of total population)", - "World/South Africa/MOZ/Demography/Rural population (% of total population)", - "World/South Africa/NGA/Demography/Rural population (% of total population)", - "World/Europe/NLD/Demography/Rural population (% of total population)", - "World/Persian Gulf/OMN/Demography/Rural population (% of total population)", - "World/Latam/PAN/Demography/Rural population (% of total population)", - "World/Latam/PER/Demography/Rural population (% of total population)", - "World/Europe/POL/Demography/Rural population (% of total population)", - "World/Persian Gulf/QAT/Demography/Rural population (% of total population)", - "World/Persian Gulf/SAU/Demography/Rural population (% of total population)", - "World/South Africa/SEN/Demography/Rural population (% of total population)", - "World/Asia/THA/Demography/Rural population (% of total population)", - "World/North Africa/TUR/Demography/Rural population (% of total population)", - "World/Pair/USA/Demography/Rural population (% of total population)", - "World/Latam/VEN/Demography/Rural population (% of total population)", - "World/Asia/VNM/Demography/Rural population (% of total population)", - "World/Persian Gulf/YEM/Demography/Rural population (% of total population)", - "World/South Africa/ZAF/Demography/Rural population (% of total population)", - "World/Persian Gulf/ARE/industry/Scientific and technical journal articles", - "World/Latam/ARG/industry/Scientific and technical journal articles", - "World/Europe/AUT/industry/Scientific and technical journal articles", - "World/Persian Gulf/AZE/industry/Scientific and technical journal articles", - "World/Asia/BGD/industry/Scientific and technical journal articles", - "World/Latam/BRA/industry/Scientific and technical journal articles", - "World/Latam/CHL/industry/Scientific and technical journal articles", - "World/Pair/CHN/industry/Scientific and technical journal articles", - "World/South Africa/CMR/industry/Scientific and technical journal articles", - "World/Latam/COL/industry/Scientific and technical journal articles", - "World/Latam/CRI/industry/Scientific and technical journal articles", - "World/North Africa/DZA/industry/Scientific and technical journal articles", - "World/North Africa/EGY/industry/Scientific and technical journal articles", - "World/Europe/ESP/industry/Scientific and technical journal articles", - "World/Europe/FRA/industry/Scientific and technical journal articles", - "World/Europe/GBR/industry/Scientific and technical journal articles", - "World/South Africa/GHA/industry/Scientific and technical journal articles", - "World/Europe/GRC/industry/Scientific and technical journal articles", - "World/Europe/HRV/industry/Scientific and technical journal articles", - "World/Asia/IDN/industry/Scientific and technical journal articles", - "World/Asia/IND/industry/Scientific and technical journal articles", - "World/Persian Gulf/IRQ/industry/Scientific and technical journal articles", - "World/North Africa/ISR/industry/Scientific and technical journal articles", - "World/Asia/KOR/industry/Scientific and technical journal articles", - "World/South Africa/LBR/industry/Scientific and technical journal articles", - "World/North Africa/MAR/industry/Scientific and technical journal articles", - "World/Latam/MEX/industry/Scientific and technical journal articles", - "World/South Africa/MOZ/industry/Scientific and technical journal articles", - "World/South Africa/NGA/industry/Scientific and technical journal articles", - "World/Europe/NLD/industry/Scientific and technical journal articles", - 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"World/Asia/IND/Economy/Secondary income receipts (BoP, current US$)", - "World/North Africa/ISR/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/KOR/Economy/Secondary income receipts (BoP, current US$)", - "World/North Africa/MAR/Economy/Secondary income receipts (BoP, current US$)", - "World/Latam/MEX/Economy/Secondary income receipts (BoP, current US$)", - "World/South Africa/NGA/Economy/Secondary income receipts (BoP, current US$)", - "World/Europe/NLD/Economy/Secondary income receipts (BoP, current US$)", - "World/Latam/PER/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/PHL/Economy/Secondary income receipts (BoP, current US$)", - "World/South Africa/SEN/Economy/Secondary income receipts (BoP, current US$)", - "World/Europe/SWE/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/THA/Economy/Secondary income receipts (BoP, current US$)", - "World/Pair/USA/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/VNM/Economy/Secondary income receipts (BoP, current US$)", - "World/Persian Gulf/YEM/Economy/Secondary income receipts (BoP, current US$)", - "World/South Africa/ZAF/Economy/Secondary income receipts (BoP, current US$)", - "World/Europe/AUT/Exports/Service exports (BoP, current US$)", - "World/Persian Gulf/AZE/Exports/Service exports (BoP, current US$)", - "World/Asia/BGD/Exports/Service exports (BoP, current US$)", - "World/Latam/BRA/Exports/Service exports (BoP, current US$)", - "World/Latam/CHL/Exports/Service exports (BoP, current US$)", - "World/Pair/CHN/Exports/Service exports (BoP, current US$)", - "World/South Africa/CMR/Exports/Service exports (BoP, current US$)", - "World/Latam/COL/Exports/Service exports (BoP, current US$)", - "World/Latam/CRI/Exports/Service exports (BoP, current US$)", - "World/Europe/DEU/Exports/Service exports (BoP, current US$)", - "World/North Africa/DZA/Exports/Service exports (BoP, current US$)", - "World/Europe/ESP/Exports/Service exports (BoP, current US$)", - "World/Europe/FRA/Exports/Service exports (BoP, current US$)", - "World/Europe/GBR/Exports/Service exports (BoP, current US$)", - "World/South Africa/GHA/Exports/Service exports (BoP, current US$)", - "World/Europe/GRC/Exports/Service exports (BoP, current US$)", - "World/Europe/HRV/Exports/Service exports (BoP, current US$)", - "World/Asia/IDN/Exports/Service exports (BoP, current US$)", - "World/Asia/IND/Exports/Service exports (BoP, current US$)", - "World/North Africa/ISR/Exports/Service exports (BoP, current US$)", - "World/Asia/KOR/Exports/Service exports (BoP, current US$)", - "World/North Africa/MAR/Exports/Service exports (BoP, current US$)", - "World/Europe/NLD/Exports/Service exports (BoP, current US$)", - "World/Persian Gulf/OMN/Exports/Service exports (BoP, current US$)", - "World/Latam/PAN/Exports/Service exports (BoP, current US$)", - "World/Latam/PER/Exports/Service exports (BoP, current US$)", - "World/Asia/PHL/Exports/Service exports (BoP, current US$)", - "World/Europe/POL/Exports/Service exports (BoP, current US$)", - "World/Persian Gulf/QAT/Exports/Service exports (BoP, current US$)", - "World/Persian Gulf/SAU/Exports/Service exports (BoP, current US$)", - "World/South Africa/SEN/Exports/Service exports (BoP, current US$)", - "World/Europe/SWE/Exports/Service exports (BoP, current US$)", - "World/Asia/THA/Exports/Service exports (BoP, current US$)", - "World/North Africa/TUR/Exports/Service exports (BoP, current US$)", - "World/Pair/USA/Exports/Service exports (BoP, current US$)", - "World/Asia/VNM/Exports/Service exports (BoP, current US$)", - "World/South Africa/ZAF/Exports/Service exports (BoP, current US$)", - "World/Latam/ARG/Imports/Service imports (BoP, current US$)", - "World/Europe/AUT/Imports/Service imports (BoP, current US$)", - "World/Persian Gulf/AZE/Imports/Service imports (BoP, current US$)", - "World/Asia/BGD/Imports/Service imports (BoP, current US$)", - "World/Latam/BRA/Imports/Service imports (BoP, current US$)", - "World/Latam/CHL/Imports/Service imports (BoP, current US$)", - "World/Pair/CHN/Imports/Service imports (BoP, current US$)", - "World/South Africa/CMR/Imports/Service imports (BoP, current US$)", - "World/Latam/COL/Imports/Service imports (BoP, current US$)", - "World/Latam/CRI/Imports/Service imports (BoP, current US$)", - "World/Europe/DEU/Imports/Service imports (BoP, current US$)", - "World/North Africa/DZA/Imports/Service imports (BoP, current US$)", - "World/North Africa/EGY/Imports/Service imports (BoP, current US$)", - "World/Europe/ESP/Imports/Service imports (BoP, current US$)", - "World/Europe/FRA/Imports/Service imports (BoP, current US$)", - "World/Europe/GBR/Imports/Service imports (BoP, current US$)", - "World/South Africa/GHA/Imports/Service imports (BoP, current US$)", - "World/Europe/HRV/Imports/Service imports (BoP, current US$)", - "World/Asia/IDN/Imports/Service imports (BoP, current US$)", - "World/Asia/IND/Imports/Service imports (BoP, current US$)", - "World/North Africa/ISR/Imports/Service imports (BoP, current US$)", - "World/Asia/KOR/Imports/Service imports (BoP, current US$)", - "World/North Africa/MAR/Imports/Service imports (BoP, current US$)", - "World/Latam/MEX/Imports/Service imports (BoP, current US$)", - "World/South Africa/MOZ/Imports/Service imports (BoP, current US$)", - "World/South Africa/NGA/Imports/Service imports (BoP, current US$)", - "World/Europe/NLD/Imports/Service imports (BoP, current US$)", - "World/Persian Gulf/OMN/Imports/Service imports (BoP, current US$)", - "World/Latam/PAN/Imports/Service imports (BoP, current US$)", - "World/Latam/PER/Imports/Service imports (BoP, current US$)", - "World/Asia/PHL/Imports/Service imports (BoP, current US$)", - "World/Europe/POL/Imports/Service imports (BoP, current US$)", - "World/Persian Gulf/QAT/Imports/Service imports (BoP, current US$)", - "World/South Africa/SEN/Imports/Service imports (BoP, current US$)", - "World/Europe/SWE/Imports/Service imports (BoP, current US$)", - "World/Asia/THA/Imports/Service imports (BoP, current US$)", - "World/North Africa/TUR/Imports/Service imports (BoP, current US$)", - "World/Pair/USA/Imports/Service imports (BoP, current US$)", - "World/Asia/VNM/Imports/Service imports (BoP, current US$)", - "World/South Africa/ZAF/Imports/Service imports (BoP, current US$)", - "World/Persian Gulf/ARE/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Europe/AUT/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/BGD/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/BRA/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/CHL/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Pair/CHN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/COL/Mortality/Suicide mortality rate (per 100,000 population)", - "World/North Africa/DZA/Mortality/Suicide mortality rate (per 100,000 population)", - "World/North Africa/EGY/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/IDN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/IND/Mortality/Suicide mortality rate (per 100,000 population)", - "World/North Africa/MAR/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/MEX/Mortality/Suicide mortality rate (per 100,000 population)", - "World/South Africa/NGA/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/PAN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/PHL/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Europe/POL/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Persian Gulf/QAT/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Persian Gulf/SAU/Mortality/Suicide mortality rate (per 100,000 population)", - "World/South Africa/SEN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/North Africa/TUR/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Pair/USA/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/VEN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/VNM/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Persian Gulf/YEM/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/ARG/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/AUT/Taxes/Taxes less subsidies on products (current US$)", - "World/Persian Gulf/AZE/Taxes/Taxes less subsidies on products (current US$)", - "World/Asia/BGD/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/BRA/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/CHL/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/CMR/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/COL/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/CRI/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/DEU/Taxes/Taxes less subsidies on products (current US$)", - "World/North Africa/DZA/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/ESP/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/FRA/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/GBR/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/GHA/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/GRC/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/HRV/Taxes/Taxes less subsidies on products (current US$)", - "World/Asia/IND/Taxes/Taxes less subsidies on products (current US$)", - "World/North Africa/ISR/Taxes/Taxes less subsidies on products (current US$)", - "World/Asia/KOR/Taxes/Taxes less subsidies on products (current US$)", - "World/North Africa/MAR/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/MEX/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/MOZ/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/NGA/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/NLD/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/PAN/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/PER/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/POL/Taxes/Taxes less subsidies on products (current US$)", - "World/Persian Gulf/SAU/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/SEN/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/SWE/Taxes/Taxes less subsidies on products (current US$)", - "World/North Africa/TUR/Taxes/Taxes less subsidies on products (current US$)", - "World/Pair/USA/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/VEN/Taxes/Taxes less subsidies on products (current US$)", - "World/Asia/VNM/Taxes/Taxes less subsidies on products (current US$)", - "World/Persian Gulf/YEM/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/ZAF/Taxes/Taxes less subsidies on products (current US$)", - "World/Persian Gulf/AZE/Economy/Taxes on international trade (% of revenue)", - "World/Latam/CHL/Economy/Taxes on international trade (% of revenue)", - "World/Pair/CHN/Economy/Taxes on international trade (% of revenue)", - "World/South Africa/CMR/Economy/Taxes on international trade (% of revenue)", - "World/Latam/COL/Economy/Taxes on international trade (% of revenue)", - "World/North Africa/EGY/Economy/Taxes on international trade (% of revenue)", - "World/Europe/ESP/Economy/Taxes on international trade (% of revenue)", - "World/South Africa/GHA/Economy/Taxes on international trade (% of revenue)", - "World/Europe/HRV/Economy/Taxes on international trade (% of revenue)", - "World/Asia/IND/Economy/Taxes on international trade (% of revenue)", - "World/Asia/KOR/Economy/Taxes on international trade (% of revenue)", - "World/North Africa/MAR/Economy/Taxes on international trade (% of revenue)", - "World/Latam/MEX/Economy/Taxes on international trade (% of revenue)", - "World/Latam/PAN/Economy/Taxes on international trade (% of revenue)", - "World/Latam/PER/Economy/Taxes on international trade (% of revenue)", - "World/Europe/POL/Economy/Taxes on international trade (% of revenue)", - "World/Asia/THA/Economy/Taxes on international trade (% of revenue)", - "World/Latam/ARG/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/AUT/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Asia/BGD/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/CHL/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Pair/CHN/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/COL/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/CRI/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/DEU/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/North Africa/DZA/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/ESP/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/FRA/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/GBR/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/GRC/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/North Africa/ISR/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Asia/KOR/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/North Africa/MAR/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/MEX/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Persian Gulf/OMN/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/PER/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/POL/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/SWE/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Pair/USA/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Persian Gulf/ARE/Industry/Time required to start a business (days)", - "World/Persian Gulf/AZE/Industry/Time required to start a business (days)", - "World/Latam/CHL/Industry/Time required to start a business (days)", - "World/Pair/CHN/Industry/Time required to start a business (days)", - "World/South Africa/CMR/Industry/Time required to start a business (days)", - "World/Latam/COL/Industry/Time required to start a business (days)", - "World/Latam/CRI/Industry/Time required to start a business (days)", - "World/Europe/DEU/Industry/Time required to start a business (days)", - "World/North Africa/DZA/Industry/Time required to start a business (days)", - "World/Europe/ESP/Industry/Time required to start a business (days)", - "World/Europe/FRA/Industry/Time required to start a business (days)", - "World/Europe/GBR/Industry/Time required to start a business (days)", - "World/Asia/IND/Industry/Time required to start a business (days)", - "World/Asia/KOR/Industry/Time required to start a business (days)", - "World/South Africa/LBR/Industry/Time required to start a business (days)", - "World/North Africa/MAR/Industry/Time required to start a business (days)", - "World/South Africa/MOZ/Industry/Time required to start a business (days)", - "World/Europe/NLD/Industry/Time required to start a business (days)", - "World/Persian Gulf/OMN/Industry/Time required to start a business (days)", - "World/Latam/PAN/Industry/Time required to start a business (days)", - "World/Latam/PER/Industry/Time required to start a business (days)", - "World/Europe/POL/Industry/Time required to start a business (days)", - "World/Persian Gulf/SAU/Industry/Time required to start a business (days)", - "World/South Africa/SEN/Industry/Time required to start a business (days)", - "World/Asia/THA/Industry/Time required to start a business (days)", - "World/Latam/VEN/Industry/Time required to start a business (days)", - "World/Asia/VNM/Industry/Time required to start a business (days)", - "World/Persian Gulf/YEM/Industry/Time required to start a business (days)", - "World/South Africa/ZAF/Industry/Time required to start a business (days)", - "World/Latam/ARG/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Persian Gulf/AZE/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/BGD/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/CHL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/COL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/CRI/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/North Africa/EGY/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/GHA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Europe/GRC/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Europe/HRV/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/IDN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/IND/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/LBR/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/MEX/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/MOZ/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/NGA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/PAN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/PER/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/PHL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Europe/POL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/SEN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/THA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/North Africa/TUR/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/VEN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/VNM/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Persian Gulf/YEM/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/ZAF/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/ARG/R&D/Time to obtain an electrical connection (days)", - "World/Asia/BGD/R&D/Time to obtain an electrical connection (days)", - "World/Latam/CHL/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/CMR/R&D/Time to obtain an electrical connection (days)", - "World/Latam/COL/R&D/Time to obtain an electrical connection (days)", - "World/Latam/CRI/R&D/Time to obtain an electrical connection (days)", - "World/North Africa/EGY/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/GHA/R&D/Time to obtain an electrical connection (days)", - "World/Europe/GRC/R&D/Time to obtain an electrical connection (days)", - "World/Asia/IDN/R&D/Time to obtain an electrical connection (days)", - "World/Asia/IND/R&D/Time to obtain an electrical connection (days)", - "World/North Africa/MAR/R&D/Time to obtain an electrical connection (days)", - "World/Latam/MEX/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/MOZ/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/NGA/R&D/Time to obtain an electrical connection (days)", - "World/Latam/PAN/R&D/Time to obtain an electrical connection (days)", - "World/Latam/PER/R&D/Time to obtain an electrical connection (days)", - "World/Asia/PHL/R&D/Time to obtain an electrical connection (days)", - "World/Europe/POL/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/SEN/R&D/Time to obtain an electrical connection (days)", - "World/North Africa/TUR/R&D/Time to obtain an electrical connection (days)", - "World/Latam/VEN/R&D/Time to obtain an electrical connection (days)", - "World/Asia/VNM/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/ZAF/R&D/Time to obtain an electrical connection (days)", - "World/Persian Gulf/ARE/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/ARG/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/AUT/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/AZE/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/BGD/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/BRA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/CHL/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Pair/CHN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/CRI/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/North Africa/EGY/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/GBR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/South Africa/GHA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/HRV/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/IND/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/North Africa/ISR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/KOR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/North Africa/MAR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/MEX/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/South Africa/MOZ/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/South Africa/NGA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/NLD/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/OMN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/PAN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/POL/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/QAT/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/THA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Pair/USA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/VEN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/VNM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/YEM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/ARE/Industry/Total fisheries production (metric tons)", - "World/Persian Gulf/AZE/Industry/Total fisheries production (metric tons)", - "World/Asia/BGD/Industry/Total fisheries production (metric tons)", - "World/Latam/BRA/Industry/Total fisheries production (metric tons)", - "World/Latam/CHL/Industry/Total fisheries production (metric tons)", - "World/Pair/CHN/Industry/Total fisheries production (metric tons)", - "World/South Africa/CMR/Industry/Total fisheries production (metric tons)", - "World/Latam/CRI/Industry/Total fisheries production (metric tons)", - "World/North Africa/EGY/Industry/Total fisheries production (metric tons)", - "World/Europe/HRV/Industry/Total fisheries production (metric tons)", - "World/Asia/IDN/Industry/Total fisheries production (metric tons)", - "World/Asia/IND/Industry/Total fisheries production (metric tons)", - "World/North Africa/ISR/Industry/Total fisheries production (metric tons)", - "World/North Africa/MAR/Industry/Total fisheries production (metric tons)", - "World/Latam/MEX/Industry/Total fisheries production (metric tons)", - "World/South Africa/MOZ/Industry/Total fisheries production (metric tons)", - "World/South Africa/NGA/Industry/Total fisheries production (metric tons)", - "World/Persian Gulf/OMN/Industry/Total fisheries production (metric tons)", - "World/Asia/PHL/Industry/Total fisheries production (metric tons)", - "World/Europe/POL/Industry/Total fisheries production (metric tons)", - "World/Persian Gulf/SAU/Industry/Total fisheries production (metric tons)", - "World/Asia/THA/Industry/Total fisheries production (metric tons)", - "World/Asia/VNM/Industry/Total fisheries production (metric tons)", - "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/BGD/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Latam/CHL/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Pair/CHN/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Latam/CRI/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/DZA/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/EGY/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Europe/GBR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Europe/HRV/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/IND/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/IRQ/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/ISR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/KOR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/MAR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Latam/MEX/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Europe/NLD/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Latam/PAN/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/PHL/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Europe/SWE/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/THA/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/TUR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Pair/USA/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/VNM/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/YEM/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/BGD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/BRA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/CHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Pair/CHN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/CMR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/COL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/CRI/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/DEU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/DZA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/EGY/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/GBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/GHA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/GRC/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/IDN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/IND/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/ISR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/KOR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/LBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/MAR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/MEX/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/NGA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/NLD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/PAN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/PER/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/PHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/SAU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/SEN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/SWE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/THA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/TUR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/VNM/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/ARE/Economy/Total reserves (includes gold, current US$)", - "World/Asia/BGD/Economy/Total reserves (includes gold, current US$)", - "World/Latam/BRA/Economy/Total reserves (includes gold, current US$)", - "World/Latam/CHL/Economy/Total reserves (includes gold, current US$)", - "World/Pair/CHN/Economy/Total reserves (includes gold, current US$)", - "World/Latam/COL/Economy/Total reserves (includes gold, current US$)", - "World/Latam/CRI/Economy/Total reserves (includes gold, current US$)", - "World/North Africa/DZA/Economy/Total reserves (includes gold, current US$)", - "World/Europe/ESP/Economy/Total reserves (includes gold, current US$)", - "World/Europe/FRA/Economy/Total reserves (includes gold, current US$)", - "World/Europe/GBR/Economy/Total reserves (includes gold, current US$)", - "World/South Africa/GHA/Economy/Total reserves (includes gold, current US$)", - "World/Asia/IDN/Economy/Total reserves (includes gold, current US$)", - "World/Asia/IND/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/IRQ/Economy/Total reserves (includes gold, current US$)", - "World/North Africa/ISR/Economy/Total reserves (includes gold, current US$)", - "World/Asia/KOR/Economy/Total reserves (includes gold, current US$)", - "World/South Africa/LBR/Economy/Total reserves (includes gold, current US$)", - "World/North Africa/MAR/Economy/Total reserves (includes gold, current US$)", - "World/Latam/MEX/Economy/Total reserves (includes gold, current US$)", - "World/South Africa/MOZ/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/OMN/Economy/Total reserves (includes gold, current US$)", - "World/Latam/PAN/Economy/Total reserves (includes gold, current US$)", - "World/Latam/PER/Economy/Total reserves (includes gold, current US$)", - "World/Asia/PHL/Economy/Total reserves (includes gold, current US$)", - "World/Europe/POL/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/QAT/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/SAU/Economy/Total reserves (includes gold, current US$)", - "World/Europe/SWE/Economy/Total reserves (includes gold, current US$)", - "World/Asia/THA/Economy/Total reserves (includes gold, current US$)", - "World/North Africa/TUR/Economy/Total reserves (includes gold, current US$)", - "World/Pair/USA/Economy/Total reserves (includes gold, current US$)", - "World/Latam/VEN/Economy/Total reserves (includes gold, current US$)", - "World/Asia/VNM/Economy/Total reserves (includes gold, current US$)", - "World/South Africa/ZAF/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/ARE/Economy/Total reserves minus gold (current US$)", - "World/Asia/BGD/Economy/Total reserves minus gold (current US$)", - "World/Latam/BRA/Economy/Total reserves minus gold (current US$)", - "World/Latam/CHL/Economy/Total reserves minus gold (current US$)", - "World/Pair/CHN/Economy/Total reserves minus gold (current US$)", - "World/Latam/COL/Economy/Total reserves minus gold (current US$)", - "World/Latam/CRI/Economy/Total reserves minus gold (current US$)", - "World/North Africa/DZA/Economy/Total reserves minus gold (current US$)", - "World/Europe/FRA/Economy/Total reserves minus gold (current US$)", - "World/Europe/GBR/Economy/Total reserves minus gold (current US$)", - "World/South Africa/GHA/Economy/Total reserves minus gold (current US$)", - "World/Asia/IDN/Economy/Total reserves minus gold (current US$)", - "World/Asia/IND/Economy/Total reserves minus gold (current US$)", - "World/Persian Gulf/IRQ/Economy/Total reserves minus gold (current US$)", - "World/North Africa/ISR/Economy/Total reserves minus gold (current US$)", - "World/Asia/KOR/Economy/Total reserves minus gold (current US$)", - "World/South Africa/LBR/Economy/Total reserves minus gold (current US$)", - "World/North Africa/MAR/Economy/Total reserves minus gold (current US$)", - "World/Latam/MEX/Economy/Total reserves minus gold (current US$)", - "World/South Africa/MOZ/Economy/Total reserves minus gold (current US$)", - "World/Persian Gulf/OMN/Economy/Total reserves minus gold (current US$)", - "World/Latam/PAN/Economy/Total reserves minus gold (current US$)", - "World/Latam/PER/Economy/Total reserves minus gold (current US$)", - "World/Asia/PHL/Economy/Total reserves minus gold (current US$)", - "World/Europe/POL/Economy/Total reserves minus gold (current US$)", - "World/Persian Gulf/QAT/Economy/Total reserves minus gold (current US$)", - "World/Persian Gulf/SAU/Economy/Total reserves minus gold (current US$)", - "World/Europe/SWE/Economy/Total reserves minus gold (current US$)", - "World/Asia/THA/Economy/Total reserves minus gold (current US$)", - "World/North Africa/TUR/Economy/Total reserves minus gold (current US$)", - "World/Latam/VEN/Economy/Total reserves minus gold (current US$)", - "World/Asia/VNM/Economy/Total reserves minus gold (current US$)", - "World/South Africa/ZAF/Economy/Total reserves minus gold (current US$)", - "World/Latam/ARG/Health/UHC service coverage index", - "World/Europe/AUT/Health/UHC service coverage index", - "World/Persian Gulf/AZE/Health/UHC service coverage index", - "World/Asia/BGD/Health/UHC service coverage index", - "World/Latam/BRA/Health/UHC service coverage index", - "World/Latam/CHL/Health/UHC service coverage index", - "World/Pair/CHN/Health/UHC service coverage index", - "World/South Africa/CMR/Health/UHC service coverage index", - "World/Latam/COL/Health/UHC service coverage index", - "World/Latam/CRI/Health/UHC service coverage index", - "World/Europe/DEU/Health/UHC service coverage index", - "World/North Africa/DZA/Health/UHC service coverage index", - "World/North Africa/EGY/Health/UHC service coverage index", - "World/Europe/ESP/Health/UHC service coverage index", - "World/Europe/FRA/Health/UHC service coverage index", - "World/Europe/GBR/Health/UHC service coverage index", - "World/South Africa/GHA/Health/UHC service coverage index", - "World/Europe/GRC/Health/UHC service coverage index", - "World/Europe/HRV/Health/UHC service coverage index", - "World/Asia/IDN/Health/UHC service coverage index", - "World/Asia/IND/Health/UHC service coverage index", - "World/Persian Gulf/IRQ/Health/UHC service coverage index", - "World/North Africa/ISR/Health/UHC service coverage index", - "World/Asia/KOR/Health/UHC service coverage index", - "World/South Africa/LBR/Health/UHC service coverage index", - "World/North Africa/MAR/Health/UHC service coverage index", - "World/Latam/MEX/Health/UHC service coverage index", - "World/South Africa/MOZ/Health/UHC service coverage index", - "World/South Africa/NGA/Health/UHC service coverage index", - "World/Europe/NLD/Health/UHC service coverage index", - "World/Persian Gulf/OMN/Health/UHC service coverage index", - "World/Latam/PAN/Health/UHC service coverage index", - "World/Latam/PER/Health/UHC service coverage index", - "World/Asia/PHL/Health/UHC service coverage index", - "World/Europe/POL/Health/UHC service coverage index", - "World/Persian Gulf/QAT/Health/UHC service coverage index", - "World/South Africa/SEN/Health/UHC service coverage index", - "World/Europe/SWE/Health/UHC service coverage index", - "World/Asia/THA/Health/UHC service coverage index", - "World/North Africa/TUR/Health/UHC service coverage index", - "World/Pair/USA/Health/UHC service coverage index", - "World/Latam/VEN/Health/UHC service coverage index", - "World/Asia/VNM/Health/UHC service coverage index", - "World/Persian Gulf/YEM/Health/UHC service coverage index", - "World/South Africa/ZAF/Health/UHC service coverage index", - "World/Persian Gulf/ARE/Demography/Urban population", - "World/Latam/ARG/Demography/Urban population", - "World/Persian Gulf/AZE/Demography/Urban population", - "World/Asia/BGD/Demography/Urban population", - "World/Latam/BRA/Demography/Urban population", - "World/Latam/CHL/Demography/Urban population", - "World/Pair/CHN/Demography/Urban population", - "World/South Africa/CMR/Demography/Urban population", - "World/Latam/COL/Demography/Urban population", - "World/Latam/CRI/Demography/Urban population", - "World/North Africa/DZA/Demography/Urban population", - "World/North Africa/EGY/Demography/Urban population", - "World/Europe/ESP/Demography/Urban population", - "World/Europe/FRA/Demography/Urban population", - "World/Europe/GBR/Demography/Urban population", - "World/South Africa/GHA/Demography/Urban population", - "World/Asia/IDN/Demography/Urban population", - "World/Asia/IND/Demography/Urban population", - "World/North Africa/ISR/Demography/Urban population", - "World/Asia/KOR/Demography/Urban population", - "World/South Africa/LBR/Demography/Urban population", - "World/North Africa/MAR/Demography/Urban population", - "World/Latam/MEX/Demography/Urban population", - "World/South Africa/MOZ/Demography/Urban population", - "World/South Africa/NGA/Demography/Urban population", - "World/Europe/NLD/Demography/Urban population", - "World/Persian Gulf/OMN/Demography/Urban population", - "World/Latam/PAN/Demography/Urban population", - "World/Latam/PER/Demography/Urban population", - "World/Asia/PHL/Demography/Urban population", - "World/Europe/POL/Demography/Urban population", - "World/Persian Gulf/QAT/Demography/Urban population", - "World/Persian Gulf/SAU/Demography/Urban population", - "World/South Africa/SEN/Demography/Urban population", - "World/Asia/THA/Demography/Urban population", - "World/North Africa/TUR/Demography/Urban population", - "World/Pair/USA/Demography/Urban population", - "World/Latam/VEN/Demography/Urban population", - "World/Asia/VNM/Demography/Urban population", - "World/Persian Gulf/YEM/Demography/Urban population", - "World/South Africa/ZAF/Demography/Urban population", - "World/Persian Gulf/ARE/Demography/Urban population (% of total population)", - "World/Latam/ARG/Demography/Urban population (% of total population)", - "World/Persian Gulf/AZE/Demography/Urban population (% of total population)", - "World/Asia/BGD/Demography/Urban population (% of total population)", - "World/Latam/BRA/Demography/Urban population (% of total population)", - "World/Latam/CHL/Demography/Urban population (% of total population)", - "World/Pair/CHN/Demography/Urban population (% of total population)", - "World/South Africa/CMR/Demography/Urban population (% of total population)", - "World/Latam/COL/Demography/Urban population (% of total population)", - "World/Latam/CRI/Demography/Urban population (% of total population)", - "World/Europe/DEU/Demography/Urban population (% of total population)", - "World/North Africa/DZA/Demography/Urban population (% of total population)", - "World/Europe/ESP/Demography/Urban population (% of total population)", - "World/Europe/FRA/Demography/Urban population (% of total population)", - "World/Europe/GBR/Demography/Urban population (% of total population)", - "World/South Africa/GHA/Demography/Urban population (% of total population)", - "World/Europe/GRC/Demography/Urban population (% of total population)", - "World/Europe/HRV/Demography/Urban population (% of total population)", - "World/Asia/IDN/Demography/Urban population (% of total population)", - "World/Asia/IND/Demography/Urban population (% of total population)", - "World/Persian Gulf/IRQ/Demography/Urban population (% of total population)", - "World/North Africa/ISR/Demography/Urban population (% of total population)", - "World/South Africa/LBR/Demography/Urban population (% of total population)", - "World/North Africa/MAR/Demography/Urban population (% of total population)", - "World/Latam/MEX/Demography/Urban population (% of total population)", - "World/South Africa/MOZ/Demography/Urban population (% of total population)", - "World/South Africa/NGA/Demography/Urban population (% of total population)", - "World/Europe/NLD/Demography/Urban population (% of total population)", - "World/Persian Gulf/OMN/Demography/Urban population (% of total population)", - "World/Latam/PAN/Demography/Urban population (% of total population)", - "World/Latam/PER/Demography/Urban population (% of total population)", - "World/Europe/POL/Demography/Urban population (% of total population)", - "World/Persian Gulf/QAT/Demography/Urban population (% of total population)", - "World/Persian Gulf/SAU/Demography/Urban population (% of total population)", - "World/South Africa/SEN/Demography/Urban population (% of total population)", - "World/Asia/THA/Demography/Urban population (% of total population)", - "World/North Africa/TUR/Demography/Urban population (% of total population)", - "World/Pair/USA/Demography/Urban population (% of total population)", - "World/Latam/VEN/Demography/Urban population (% of total population)", - "World/Asia/VNM/Demography/Urban population (% of total population)", - "World/Persian Gulf/YEM/Demography/Urban population (% of total population)", - "World/South Africa/ZAF/Demography/Urban population (% of total population)", - "World/Europe/AUT/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Persian Gulf/AZE/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/BGD/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/CHL/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Pair/CHN/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/COL/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/CRI/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/DEU/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/DZA/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/EGY/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/GBR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/South Africa/GHA/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/HRV/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/IND/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/ISR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/KOR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/MAR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/MEX/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/South Africa/MOZ/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/South Africa/NGA/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/NLD/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/PAN/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/PER/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/PHL/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/POL/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Persian Gulf/SAU/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/SWE/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/THA/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/TUR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/VEN/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/VNM/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Persian Gulf/YEM/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/South Africa/ZAF/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Persian Gulf/ARE/A&D", - "World/Latam/ARG/A&D", - "World/Europe/AUT/A&D", - "World/Persian Gulf/AZE/A&D", - "World/Asia/BGD/A&D", - "World/Latam/BRA/A&D", - "World/Latam/CHL/A&D", - "World/Pair/CHN/A&D", - "World/Latam/CRI/A&D", - "World/North Africa/EGY/A&D", - "World/Europe/GBR/A&D", - "World/South Africa/GHA/A&D", - "World/Europe/HRV/A&D", - "World/Asia/IND/A&D", - "World/North Africa/ISR/A&D", - "World/Asia/KOR/A&D", - "World/North Africa/MAR/A&D", - "World/Latam/MEX/A&D", - "World/South Africa/MOZ/A&D", - "World/South Africa/NGA/A&D", - "World/Europe/NLD/A&D", - "World/Persian Gulf/OMN/A&D", - "World/Latam/PAN/A&D", - "World/Europe/POL/A&D", - "World/Persian Gulf/QAT/A&D", - "World/Asia/THA/A&D", - "World/Pair/USA/A&D", - "World/Latam/VEN/A&D", - "World/Asia/VNM/A&D", - "World/Persian Gulf/YEM/A&D", - "World/Persian Gulf/ARE/Agriculture", - "World/Latam/ARG/Agriculture", - "World/Europe/AUT/Agriculture", - "World/Persian Gulf/AZE/Agriculture", - "World/Asia/BGD/Agriculture", - "World/Latam/BRA/Agriculture", - "World/Latam/CHL/Agriculture", - "World/Pair/CHN/Agriculture", - "World/South Africa/CMR/Agriculture", - "World/Latam/COL/Agriculture", - "World/Latam/CRI/Agriculture", - "World/Europe/DEU/Agriculture", - "World/North Africa/DZA/Agriculture", - "World/North Africa/EGY/Agriculture", - "World/Europe/ESP/Agriculture", - "World/Europe/FRA/Agriculture", - "World/South Africa/GHA/Agriculture", - "World/Europe/GRC/Agriculture", - "World/Europe/HRV/Agriculture", - "World/Asia/IDN/Agriculture", - "World/Asia/IND/Agriculture", - "World/North Africa/ISR/Agriculture", - "World/Asia/KOR/Agriculture", - "World/South Africa/LBR/Agriculture", - "World/North Africa/MAR/Agriculture", - "World/Latam/MEX/Agriculture", - "World/South Africa/MOZ/Agriculture", - "World/South Africa/NGA/Agriculture", - "World/Europe/NLD/Agriculture", - "World/Persian Gulf/OMN/Agriculture", - "World/Latam/PAN/Agriculture", - "World/Latam/PER/Agriculture", - "World/Asia/PHL/Agriculture", - "World/Europe/POL/Agriculture", - "World/Persian Gulf/QAT/Agriculture", - "World/Persian Gulf/SAU/Agriculture", - "World/South Africa/SEN/Agriculture", - "World/Europe/SWE/Agriculture", - "World/Asia/THA/Agriculture", - "World/North Africa/TUR/Agriculture", - "World/Pair/USA/Agriculture", - "World/Latam/VEN/Agriculture", - "World/Asia/VNM/Agriculture", - "World/Persian Gulf/YEM/Agriculture", - "World/South Africa/ZAF/Agriculture", - "World/Persian Gulf/ARE/Demography", - "World/Latam/ARG/Demography", - "World/Europe/AUT/Demography", - "World/Persian Gulf/AZE/Demography", - "World/Asia/BGD/Demography", - "World/Latam/BRA/Demography", - "World/Latam/CHL/Demography", - "World/Pair/CHN/Demography", - "World/South Africa/CMR/Demography", - "World/Latam/COL/Demography", - "World/Latam/CRI/Demography", - "World/Europe/DEU/Demography", - "World/North Africa/DZA/Demography", - "World/North Africa/EGY/Demography", - "World/Europe/ESP/Demography", - "World/Europe/FRA/Demography", - "World/Europe/GBR/Demography", - "World/South Africa/GHA/Demography", - "World/Europe/GRC/Demography", - "World/Europe/HRV/Demography", - "World/Asia/IDN/Demography", - "World/Asia/IND/Demography", - "World/Persian Gulf/IRQ/Demography", - "World/North Africa/ISR/Demography", - "World/Asia/KOR/Demography", - "World/South Africa/LBR/Demography", - "World/North Africa/MAR/Demography", - "World/Latam/MEX/Demography", - "World/South Africa/MOZ/Demography", - "World/South Africa/NGA/Demography", - "World/Europe/NLD/Demography", - "World/Persian Gulf/OMN/Demography", - "World/Latam/PAN/Demography", - "World/Latam/PER/Demography", - "World/Asia/PHL/Demography", - "World/Europe/POL/Demography", - "World/Persian Gulf/QAT/Demography", - "World/Persian Gulf/SAU/Demography", - "World/South Africa/SEN/Demography", - "World/Europe/SWE/Demography", - "World/Asia/THA/Demography", - "World/North Africa/TUR/Demography", - "World/Pair/USA/Demography", - "World/Latam/VEN/Demography", - "World/Asia/VNM/Demography", - "World/Persian Gulf/YEM/Demography", - "World/South Africa/ZAF/Demography", - "World/Latam/ARG/Demoraphy", - "World/Asia/BGD/Demoraphy", - "World/Latam/BRA/Demoraphy", - "World/South Africa/CMR/Demoraphy", - "World/Latam/COL/Demoraphy", - "World/Latam/CRI/Demoraphy", - "World/North Africa/DZA/Demoraphy", - "World/North Africa/EGY/Demoraphy", - "World/South Africa/GHA/Demoraphy", - "World/Asia/IND/Demoraphy", - "World/South Africa/LBR/Demoraphy", - "World/North Africa/MAR/Demoraphy", - "World/Latam/MEX/Demoraphy", - "World/South Africa/MOZ/Demoraphy", - "World/South Africa/NGA/Demoraphy", - "World/Latam/PAN/Demoraphy", - "World/Latam/PER/Demoraphy", - "World/Asia/PHL/Demoraphy", - "World/North Africa/TUR/Demoraphy", - "World/Latam/VEN/Demoraphy", - "World/Asia/VNM/Demoraphy", - "World/Persian Gulf/ARE/Economy", - "World/Latam/ARG/Economy", - "World/Europe/AUT/Economy", - "World/Persian Gulf/AZE/Economy", - "World/Asia/BGD/Economy", - "World/Latam/BRA/Economy", - "World/Latam/CHL/Economy", - "World/Pair/CHN/Economy", - "World/South Africa/CMR/Economy", - "World/Latam/COL/Economy", - "World/Latam/CRI/Economy", - "World/Europe/DEU/Economy", - "World/North Africa/DZA/Economy", - "World/North Africa/EGY/Economy", - "World/Europe/ESP/Economy", - "World/Europe/FRA/Economy", - "World/Europe/GBR/Economy", - "World/South Africa/GHA/Economy", - "World/Europe/GRC/Economy", - "World/Europe/HRV/Economy", - "World/Asia/IDN/Economy", - "World/Asia/IND/Economy", - "World/Persian Gulf/IRQ/Economy", - "World/North Africa/ISR/Economy", - "World/Asia/KOR/Economy", - "World/South Africa/LBR/Economy", - "World/North Africa/MAR/Economy", - "World/Latam/MEX/Economy", - "World/South Africa/MOZ/Economy", - "World/South Africa/NGA/Economy", - "World/Europe/NLD/Economy", - "World/Persian Gulf/OMN/Economy", - "World/Latam/PAN/Economy", - "World/Latam/PER/Economy", - "World/Asia/PHL/Economy", - "World/Europe/POL/Economy", - "World/Persian Gulf/QAT/Economy", - "World/Persian Gulf/SAU/Economy", - "World/South Africa/SEN/Economy", - "World/Europe/SWE/Economy", - "World/Asia/THA/Economy", - "World/North Africa/TUR/Economy", - "World/Pair/USA/Economy", - "World/Latam/VEN/Economy", - "World/Asia/VNM/Economy", - "World/Persian Gulf/YEM/Economy", - "World/South Africa/ZAF/Economy", - "World/Persian Gulf/ARE/Employment", - "World/Latam/ARG/Employment", - "World/Europe/AUT/Employment", - "World/Persian Gulf/AZE/Employment", - "World/Asia/BGD/Employment", - "World/Latam/BRA/Employment", - "World/Latam/CHL/Employment", - "World/Pair/CHN/Employment", - "World/South Africa/CMR/Employment", - "World/Latam/COL/Employment", - "World/Latam/CRI/Employment", - "World/Europe/DEU/Employment", - "World/North Africa/DZA/Employment", - "World/North Africa/EGY/Employment", - "World/Europe/ESP/Employment", - "World/Europe/FRA/Employment", - "World/Europe/GBR/Employment", - "World/South Africa/GHA/Employment", - "World/Europe/GRC/Employment", - "World/Europe/HRV/Employment", - "World/Asia/IDN/Employment", - "World/Asia/IND/Employment", - "World/North Africa/ISR/Employment", - "World/Asia/KOR/Employment", - "World/South Africa/LBR/Employment", - "World/North Africa/MAR/Employment", - "World/Latam/MEX/Employment", - "World/South Africa/MOZ/Employment", - "World/South Africa/NGA/Employment", - "World/Europe/NLD/Employment", - "World/Persian Gulf/OMN/Employment", - "World/Latam/PAN/Employment", - "World/Latam/PER/Employment", - "World/Asia/PHL/Employment", - "World/Europe/POL/Employment", - "World/Persian Gulf/QAT/Employment", - "World/Persian Gulf/SAU/Employment", - "World/South Africa/SEN/Employment", - "World/Europe/SWE/Employment", - "World/Asia/THA/Employment", - "World/North Africa/TUR/Employment", - "World/Pair/USA/Employment", - "World/Latam/VEN/Employment", - "World/Asia/VNM/Employment", - "World/Persian Gulf/YEM/Employment", - "World/South Africa/ZAF/Employment", - "World/Persian Gulf/ARE/Environment", - "World/Latam/ARG/Environment", - "World/Europe/AUT/Environment", - "World/Persian Gulf/AZE/Environment", - "World/Asia/BGD/Environment", - "World/Latam/BRA/Environment", - "World/Latam/CHL/Environment", - "World/Pair/CHN/Environment", - "World/South Africa/CMR/Environment", - "World/Latam/COL/Environment", - "World/Latam/CRI/Environment", - "World/Europe/DEU/Environment", - "World/North Africa/DZA/Environment", - "World/North Africa/EGY/Environment", - "World/Europe/ESP/Environment", - "World/Europe/FRA/Environment", - "World/Europe/GBR/Environment", - "World/South Africa/GHA/Environment", - "World/Europe/GRC/Environment", - "World/Europe/HRV/Environment", - "World/Asia/IDN/Environment", - "World/Asia/IND/Environment", - "World/Persian Gulf/IRQ/Environment", - "World/North Africa/ISR/Environment", - "World/Asia/KOR/Environment", - "World/South Africa/LBR/Environment", - "World/North Africa/MAR/Environment", - "World/Latam/MEX/Environment", - "World/South Africa/MOZ/Environment", - "World/South Africa/NGA/Environment", - "World/Europe/NLD/Environment", - "World/Persian Gulf/OMN/Environment", - "World/Latam/PAN/Environment", - "World/Latam/PER/Environment", - "World/Asia/PHL/Environment", - "World/Europe/POL/Environment", - "World/Persian Gulf/QAT/Environment", - "World/Persian Gulf/SAU/Environment", - "World/South Africa/SEN/Environment", - "World/Europe/SWE/Environment", - "World/Asia/THA/Environment", - "World/North Africa/TUR/Environment", - "World/Pair/USA/Environment", - "World/Latam/VEN/Environment", - "World/Asia/VNM/Environment", - "World/Persian Gulf/YEM/Environment", - "World/South Africa/ZAF/Environment", - "World/Persian Gulf/ARE/Equality", - "World/Latam/ARG/Equality", - "World/Europe/AUT/Equality", - "World/Persian Gulf/AZE/Equality", - "World/Asia/BGD/Equality", - "World/Latam/BRA/Equality", - "World/Latam/CHL/Equality", - "World/Pair/CHN/Equality", - "World/South Africa/CMR/Equality", - "World/Latam/COL/Equality", - "World/Latam/CRI/Equality", - "World/Europe/DEU/Equality", - "World/North Africa/DZA/Equality", - "World/North Africa/EGY/Equality", - "World/Europe/ESP/Equality", - "World/Europe/FRA/Equality", - "World/Europe/GBR/Equality", - "World/South Africa/GHA/Equality", - "World/Europe/GRC/Equality", - "World/Europe/HRV/Equality", - "World/Asia/IND/Equality", - "World/North Africa/ISR/Equality", - "World/Asia/KOR/Equality", - "World/North Africa/MAR/Equality", - "World/Latam/MEX/Equality", - "World/South Africa/MOZ/Equality", - "World/South Africa/NGA/Equality", - "World/Europe/NLD/Equality", - "World/Persian Gulf/OMN/Equality", - "World/Latam/PAN/Equality", - "World/Latam/PER/Equality", - "World/Asia/PHL/Equality", - "World/Europe/POL/Equality", - "World/Persian Gulf/QAT/Equality", - "World/Persian Gulf/SAU/Equality", - "World/South Africa/SEN/Equality", - "World/Europe/SWE/Equality", - "World/Asia/THA/Equality", - "World/North Africa/TUR/Equality", - "World/Pair/USA/Equality", - "World/Latam/VEN/Equality", - "World/Asia/VNM/Equality", - "World/Persian Gulf/YEM/Equality", - "World/South Africa/ZAF/Equality", - "World/Persian Gulf/ARE/Exports", - "World/Europe/AUT/Exports", - "World/Persian Gulf/AZE/Exports", - "World/Asia/BGD/Exports", - "World/Latam/BRA/Exports", - "World/Latam/CHL/Exports", - "World/Pair/CHN/Exports", - "World/South Africa/CMR/Exports", - "World/Latam/COL/Exports", - "World/Latam/CRI/Exports", - "World/Europe/DEU/Exports", - "World/North Africa/DZA/Exports", - "World/North Africa/EGY/Exports", - "World/Europe/ESP/Exports", - "World/Europe/FRA/Exports", - "World/Europe/GBR/Exports", - "World/South Africa/GHA/Exports", - "World/Europe/GRC/Exports", - "World/Europe/HRV/Exports", - "World/Asia/IDN/Exports", - "World/Asia/IND/Exports", - "World/Persian Gulf/IRQ/Exports", - "World/North Africa/ISR/Exports", - "World/Asia/KOR/Exports", - "World/South Africa/LBR/Exports", - "World/North Africa/MAR/Exports", - "World/Latam/MEX/Exports", - "World/South Africa/MOZ/Exports", - "World/South Africa/NGA/Exports", - "World/Europe/NLD/Exports", - "World/Persian Gulf/OMN/Exports", - "World/Latam/PAN/Exports", - "World/Latam/PER/Exports", - "World/Asia/PHL/Exports", - "World/Europe/POL/Exports", - "World/Persian Gulf/QAT/Exports", - "World/Persian Gulf/SAU/Exports", - "World/South Africa/SEN/Exports", - "World/Europe/SWE/Exports", - "World/Asia/THA/Exports", - "World/North Africa/TUR/Exports", - "World/Pair/USA/Exports", - "World/Latam/VEN/Exports", - "World/Asia/VNM/Exports", - "World/Persian Gulf/YEM/Exports", - "World/South Africa/ZAF/Exports", - "World/Persian Gulf/ARE/Health", - "World/Latam/ARG/Health", - "World/Europe/AUT/Health", - "World/Persian Gulf/AZE/Health", - "World/Asia/BGD/Health", - "World/Latam/BRA/Health", - "World/Latam/CHL/Health", - "World/Pair/CHN/Health", - "World/South Africa/CMR/Health", - "World/Latam/COL/Health", - "World/Latam/CRI/Health", - "World/Europe/DEU/Health", - "World/North Africa/DZA/Health", - "World/North Africa/EGY/Health", - "World/Europe/ESP/Health", - "World/Europe/FRA/Health", - "World/Europe/GBR/Health", - "World/South Africa/GHA/Health", - "World/Europe/GRC/Health", - "World/Europe/HRV/Health", - "World/Asia/IDN/Health", - "World/Asia/IND/Health", - "World/Persian Gulf/IRQ/Health", - "World/North Africa/ISR/Health", - "World/Asia/KOR/Health", - "World/South Africa/LBR/Health", - "World/North Africa/MAR/Health", - "World/Latam/MEX/Health", - "World/South Africa/MOZ/Health", - "World/South Africa/NGA/Health", - "World/Europe/NLD/Health", - "World/Persian Gulf/OMN/Health", - "World/Latam/PAN/Health", - "World/Latam/PER/Health", - "World/Asia/PHL/Health", - "World/Europe/POL/Health", - "World/Persian Gulf/QAT/Health", - "World/Persian Gulf/SAU/Health", - "World/South Africa/SEN/Health", - "World/Europe/SWE/Health", - "World/Asia/THA/Health", - "World/North Africa/TUR/Health", - "World/Pair/USA/Health", - "World/Latam/VEN/Health", - "World/Asia/VNM/Health", - "World/Persian Gulf/YEM/Health", - "World/South Africa/ZAF/Health", - "World/Persian Gulf/ARE/Imports", - "World/Latam/ARG/Imports", - "World/Europe/AUT/Imports", - "World/Persian Gulf/AZE/Imports", - "World/Asia/BGD/Imports", - "World/Latam/BRA/Imports", - "World/Latam/CHL/Imports", - "World/Pair/CHN/Imports", - "World/South Africa/CMR/Imports", - "World/Latam/COL/Imports", - "World/Latam/CRI/Imports", - "World/Europe/DEU/Imports", - "World/North Africa/DZA/Imports", - "World/North Africa/EGY/Imports", - "World/Europe/ESP/Imports", - "World/Europe/FRA/Imports", - "World/Europe/GBR/Imports", - "World/South Africa/GHA/Imports", - "World/Europe/GRC/Imports", - "World/Europe/HRV/Imports", - "World/Asia/IDN/Imports", - "World/Asia/IND/Imports", - "World/Persian Gulf/IRQ/Imports", - "World/North Africa/ISR/Imports", - "World/Asia/KOR/Imports", - "World/South Africa/LBR/Imports", - "World/North Africa/MAR/Imports", - "World/Latam/MEX/Imports", - "World/South Africa/MOZ/Imports", - "World/South Africa/NGA/Imports", - "World/Europe/NLD/Imports", - "World/Persian Gulf/OMN/Imports", - "World/Latam/PAN/Imports", - "World/Latam/PER/Imports", - "World/Asia/PHL/Imports", - "World/Europe/POL/Imports", - "World/Persian Gulf/QAT/Imports", - "World/Persian Gulf/SAU/Imports", - "World/South Africa/SEN/Imports", - "World/Europe/SWE/Imports", - "World/Asia/THA/Imports", - "World/North Africa/TUR/Imports", - "World/Pair/USA/Imports", - "World/Latam/VEN/Imports", - "World/Asia/VNM/Imports", - "World/Persian Gulf/YEM/Imports", - 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"Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: consumption of fixed capital (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: education expenditure (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: net national savings (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adjusted savings: particulate emission damage (current US$)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - 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"Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Adolescent fertility rate (births per 1,000 women ages 15-19)", - "Agricultural land (% of land area)", - "Agricultural land (% of land area)", - "Agricultural land (% of land area)", - "Agricultural land (% of land area)", - "Agricultural land (% of land area)", - "Agricultural land (% of land area)", - "Agricultural land (% of land area)", - 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"Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - 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"Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - 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"CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Current health expenditure (% of GDP)", - 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"Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - 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"Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - 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"Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - 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"Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per capita (current US$)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per person employed (constant 2017 PPP $)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "GNI (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "General government final consumption expenditure (current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods exports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Goods imports (BoP, current US$)", - "Gross capital formation (current US$)", - "Gross capital formation (current US$)", - "Gross capital formation (current US$)", - "Gross capital formation (current US$)", - "Gross capital formation (current US$)", - "Gross capital formation (current US$)", - "Gross capital formation (current US$)", - "Gross capital formation (current US$)", - 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"Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - 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"People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - 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"Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of current tobacco use (% of adults)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of overweight (modeled estimate, % of children under 5)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Prevalence of undernourishment (% of population)", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Price level ratio of PPP conversion factor (GDP) to market exchange rate", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income payments (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Primary income receipts (BoP, current US$)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 10-14 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Proportion of seats held by women in national parliaments (%)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Ratio of female to male labor force participation rate (%) (national estimate)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable energy consumption (% of total final energy consumption)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Renewable internal freshwater resources per capita (cubic meters)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Researchers in R&D (per million people)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of catastrophic expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Risk of impoverishing expenditure for surgical care (% of people at risk)", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Rural population (% of total population)", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Scientific and technical journal articles", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Secondary income receipts (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - 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"Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - 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"World/South Africa/CMR/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/COL/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/CRI/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Europe/DEU/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/North Africa/DZA/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/North Africa/EGY/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Europe/FRA/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Europe/GBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/South Africa/GHA/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Asia/IDN/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Asia/IND/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/North Africa/ISR/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Asia/KOR/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/South Africa/LBR/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/North Africa/MAR/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/MEX/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/South Africa/MOZ/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/South Africa/NGA/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Europe/NLD/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Persian Gulf/OMN/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/PAN/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/PER/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Asia/PHL/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Europe/POL/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Persian Gulf/QAT/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Persian Gulf/SAU/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/South Africa/SEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Asia/THA/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/North Africa/TUR/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Pair/USA/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Latam/VEN/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Asia/VNM/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Persian Gulf/YEM/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/South Africa/ZAF/Economy/Adjusted savings: carbon dioxide damage (current US$)", - "World/Persian Gulf/ARE/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/ARG/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/AUT/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Persian Gulf/AZE/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Asia/BGD/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/BRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/CHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Pair/CHN/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/South Africa/CMR/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/COL/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/CRI/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/DEU/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/North Africa/DZA/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/North Africa/EGY/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/ESP/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/FRA/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/GBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/South Africa/GHA/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/GRC/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/HRV/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Asia/IDN/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Asia/IND/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/North Africa/ISR/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Asia/KOR/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/South Africa/LBR/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/North Africa/MAR/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/MEX/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/South Africa/MOZ/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/South Africa/NGA/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/NLD/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Persian Gulf/OMN/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/PAN/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/PER/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Asia/PHL/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/POL/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Persian Gulf/QAT/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Persian Gulf/SAU/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/South Africa/SEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Europe/SWE/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Asia/THA/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/North Africa/TUR/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Pair/USA/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/VEN/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Asia/VNM/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Persian Gulf/YEM/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/South Africa/ZAF/Economy/Adjusted savings: consumption of fixed capital (current US$)", - "World/Latam/ARG/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/AUT/Economy/Adjusted savings: education expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/Adjusted savings: education expenditure (current US$)", - "World/Asia/BGD/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/BRA/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/CHL/Economy/Adjusted savings: education expenditure (current US$)", - "World/Pair/CHN/Economy/Adjusted savings: education expenditure (current US$)", - "World/South Africa/CMR/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/COL/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/CRI/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/DEU/Economy/Adjusted savings: education expenditure (current US$)", - "World/North Africa/DZA/Economy/Adjusted savings: education expenditure (current US$)", - "World/North Africa/EGY/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/ESP/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/FRA/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/GBR/Economy/Adjusted savings: education expenditure (current US$)", - "World/South Africa/GHA/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/HRV/Economy/Adjusted savings: education expenditure (current US$)", - "World/Asia/IDN/Economy/Adjusted savings: education expenditure (current US$)", - "World/Asia/IND/Economy/Adjusted savings: education expenditure (current US$)", - "World/North Africa/ISR/Economy/Adjusted savings: education expenditure (current US$)", - "World/Asia/KOR/Economy/Adjusted savings: education expenditure (current US$)", - "World/South Africa/LBR/Economy/Adjusted savings: education expenditure (current US$)", - "World/North Africa/MAR/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/MEX/Economy/Adjusted savings: education expenditure (current US$)", - "World/South Africa/MOZ/Economy/Adjusted savings: education expenditure (current US$)", - "World/South Africa/NGA/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/NLD/Economy/Adjusted savings: education expenditure (current US$)", - "World/Persian Gulf/OMN/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/PAN/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/PER/Economy/Adjusted savings: education expenditure (current US$)", - "World/Asia/PHL/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/POL/Economy/Adjusted savings: education expenditure (current US$)", - "World/Persian Gulf/QAT/Economy/Adjusted savings: education expenditure (current US$)", - "World/Persian Gulf/SAU/Economy/Adjusted savings: education expenditure (current US$)", - "World/South Africa/SEN/Economy/Adjusted savings: education expenditure (current US$)", - "World/Europe/SWE/Economy/Adjusted savings: education expenditure (current US$)", - "World/Asia/THA/Economy/Adjusted savings: education expenditure (current US$)", - "World/North Africa/TUR/Economy/Adjusted savings: education expenditure (current US$)", - "World/Pair/USA/Economy/Adjusted savings: education expenditure (current US$)", - "World/Latam/VEN/Economy/Adjusted savings: education expenditure (current US$)", - "World/Asia/VNM/Economy/Adjusted savings: education expenditure (current US$)", - "World/Persian Gulf/YEM/Economy/Adjusted savings: education expenditure (current US$)", - "World/South Africa/ZAF/Economy/Adjusted savings: education expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/BGD/Economy/Adjusted savings: net national savings (current US$)", - "World/Latam/CHL/Economy/Adjusted savings: net national savings (current US$)", - "World/Pair/CHN/Economy/Adjusted savings: net national savings (current US$)", - "World/Latam/CRI/Economy/Adjusted savings: net national savings (current US$)", - "World/Europe/DEU/Economy/Adjusted savings: net national savings (current US$)", - "World/North Africa/DZA/Economy/Adjusted savings: net national savings (current US$)", - "World/Europe/GRC/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/IND/Economy/Adjusted savings: net national savings (current US$)", - "World/North Africa/ISR/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/KOR/Economy/Adjusted savings: net national savings (current US$)", - "World/South Africa/LBR/Economy/Adjusted savings: net national savings (current US$)", - "World/North Africa/MAR/Economy/Adjusted savings: net national savings (current US$)", - "World/Europe/NLD/Economy/Adjusted savings: net national savings (current US$)", - "World/Latam/PAN/Economy/Adjusted savings: net national savings (current US$)", - "World/Latam/PER/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/PHL/Economy/Adjusted savings: net national savings (current US$)", - "World/Europe/POL/Economy/Adjusted savings: net national savings (current US$)", - "World/Persian Gulf/SAU/Economy/Adjusted savings: net national savings (current US$)", - "World/South Africa/SEN/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/THA/Economy/Adjusted savings: net national savings (current US$)", - "World/North Africa/TUR/Economy/Adjusted savings: net national savings (current US$)", - "World/Asia/VNM/Economy/Adjusted savings: net national savings (current US$)", - "World/Persian Gulf/ARE/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Europe/AUT/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/BGD/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/CHL/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Pair/CHN/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/South Africa/CMR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/COL/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/CRI/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/North Africa/EGY/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Europe/FRA/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Europe/GBR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/South Africa/GHA/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Europe/GRC/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/IDN/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/IND/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/North Africa/ISR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/KOR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/North Africa/MAR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/South Africa/MOZ/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/South Africa/NGA/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/PAN/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/PHL/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Persian Gulf/QAT/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Persian Gulf/SAU/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/THA/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/North Africa/TUR/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Latam/VEN/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Asia/VNM/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Persian Gulf/YEM/Economy/Adjusted savings: particulate emission damage (current US$)", - "World/Persian Gulf/ARE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/ARG/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/AUT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/AZE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/BGD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/BRA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/CHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Pair/CHN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/CMR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/COL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/CRI/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/DEU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/North Africa/EGY/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/GBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/GHA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/GRC/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/HRV/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/IND/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/North Africa/ISR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/KOR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/LBR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/North Africa/MAR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/MEX/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/MOZ/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/NGA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/NLD/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/OMN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/PAN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/PER/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/PHL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/POL/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/QAT/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/SAU/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/South Africa/SEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/SWE/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/North Africa/TUR/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Pair/USA/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Latam/VEN/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Asia/VNM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Persian Gulf/YEM/Demography/Adolescent fertility rate (births per 1,000 women ages 15-19)", - "World/Europe/AUT/Agriculture/Agricultural land (% of land area)", - "World/Persian Gulf/AZE/Agriculture/Agricultural land (% of land area)", - "World/Asia/BGD/Agriculture/Agricultural land (% of land area)", - "World/Latam/BRA/Agriculture/Agricultural land (% of land area)", - "World/Pair/CHN/Agriculture/Agricultural land (% of land area)", - "World/South Africa/CMR/Agriculture/Agricultural land (% of land area)", - "World/Latam/CRI/Agriculture/Agricultural land (% of land area)", - "World/Europe/DEU/Agriculture/Agricultural land (% of land area)", - "World/North Africa/DZA/Agriculture/Agricultural land (% of land area)", - "World/North Africa/EGY/Agriculture/Agricultural land (% of land area)", - "World/Europe/ESP/Agriculture/Agricultural land (% of land area)", - "World/Europe/FRA/Agriculture/Agricultural land (% of land area)", - "World/Europe/GRC/Agriculture/Agricultural land (% of land area)", - "World/Asia/IDN/Agriculture/Agricultural land (% of land area)", - "World/Asia/IND/Agriculture/Agricultural land (% of land area)", - "World/North Africa/ISR/Agriculture/Agricultural land (% of land area)", - "World/Asia/KOR/Agriculture/Agricultural land (% of land area)", - "World/South Africa/LBR/Agriculture/Agricultural land (% of land area)", - "World/South Africa/MOZ/Agriculture/Agricultural land (% of land area)", - "World/South Africa/NGA/Agriculture/Agricultural land (% of land area)", - "World/Europe/NLD/Agriculture/Agricultural land (% of land area)", - "World/Latam/PAN/Agriculture/Agricultural land (% of land area)", - "World/Asia/PHL/Agriculture/Agricultural land (% of land area)", - "World/Europe/POL/Agriculture/Agricultural land (% of land area)", - "World/Europe/SWE/Agriculture/Agricultural land (% of land area)", - "World/North Africa/TUR/Agriculture/Agricultural land (% of land area)", - "World/Pair/USA/Agriculture/Agricultural land (% of land area)", - "World/Latam/VEN/Agriculture/Agricultural land (% of land area)", - "World/Asia/VNM/Agriculture/Agricultural land (% of land area)", - "World/Persian Gulf/YEM/Agriculture/Agricultural land (% of land area)", - "World/Persian Gulf/ARE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/ARG/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/AUT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/AZE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/BGD/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/CHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Pair/CHN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/CRI/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/DZA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/FRA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/GHA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/HRV/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IDN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IND/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/ISR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/LBR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/MAR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/MEX/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/NGA/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/OMN/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/PER/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/PHL/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/QAT/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/SAU/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/SWE/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/TUR/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/VNM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/YEM/Agriculture/Agricultural methane emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/ARE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/AZE/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/BGD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/BRA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/CRI/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/DZA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/GHA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IDN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IND/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/ISR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/LBR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/MAR/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/NGA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/NLD/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/OMN/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/PER/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/PHL/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/QAT/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Pair/USA/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/VNM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/YEM/Agriculture/Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/ARG/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Europe/AUT/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/BRA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/CHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/COL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/North Africa/DZA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/North Africa/EGY/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Europe/GRC/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Europe/HRV/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/IDN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/KOR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/North Africa/MAR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/MEX/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/PHL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Europe/POL/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/THA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/North Africa/TUR/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Pair/USA/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Latam/VEN/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/VNM/Agriculture/Agricultural raw materials imports (% of merchandise imports)", - "World/Asia/BGD/Agriculture/Aquaculture production (metric tons)", - "World/Latam/BRA/Agriculture/Aquaculture production (metric tons)", - "World/Latam/CHL/Agriculture/Aquaculture production (metric tons)", - "World/Pair/CHN/Agriculture/Aquaculture production (metric tons)", - "World/South Africa/CMR/Agriculture/Aquaculture production (metric tons)", - "World/Latam/COL/Agriculture/Aquaculture production (metric tons)", - "World/Latam/CRI/Agriculture/Aquaculture production (metric tons)", - "World/North Africa/EGY/Agriculture/Aquaculture production (metric tons)", - "World/Europe/FRA/Agriculture/Aquaculture production (metric tons)", - "World/South Africa/GHA/Agriculture/Aquaculture production (metric tons)", - "World/Asia/IDN/Agriculture/Aquaculture production (metric tons)", - "World/Asia/IND/Agriculture/Aquaculture production (metric tons)", - "World/Asia/KOR/Agriculture/Aquaculture production (metric tons)", - "World/Latam/MEX/Agriculture/Aquaculture production (metric tons)", - "World/South Africa/NGA/Agriculture/Aquaculture production (metric tons)", - "World/Latam/PER/Agriculture/Aquaculture production (metric tons)", - "World/Asia/PHL/Agriculture/Aquaculture production (metric tons)", - "World/Europe/POL/Agriculture/Aquaculture production (metric tons)", - "World/Persian Gulf/SAU/Agriculture/Aquaculture production (metric tons)", - "World/North Africa/TUR/Agriculture/Aquaculture production (metric tons)", - "World/Pair/USA/Agriculture/Aquaculture production (metric tons)", - "World/Latam/VEN/Agriculture/Aquaculture production (metric tons)", - "World/Asia/VNM/Agriculture/Aquaculture production (metric tons)", - "World/South Africa/ZAF/Agriculture/Aquaculture production (metric tons)", - "World/Europe/AUT/Agriculture/Arable land (% of land area)", - "World/Persian Gulf/AZE/Agriculture/Arable land (% of land area)", - "World/Asia/BGD/Agriculture/Arable land (% of land area)", - "World/Latam/BRA/Agriculture/Arable land (% of land area)", - "World/Latam/CHL/Agriculture/Arable land (% of land area)", - "World/Pair/CHN/Agriculture/Arable land (% of land area)", - "World/South Africa/CMR/Agriculture/Arable land (% of land area)", - "World/Latam/COL/Agriculture/Arable land (% of land area)", - "World/Latam/CRI/Agriculture/Arable land (% of land area)", - "World/South Africa/GHA/Agriculture/Arable land (% of land area)", - "World/Europe/GRC/Agriculture/Arable land (% of land area)", - "World/Asia/IDN/Agriculture/Arable land (% of land area)", - "World/Asia/IND/Agriculture/Arable land (% of land area)", - "World/Asia/KOR/Agriculture/Arable land (% of land area)", - "World/South Africa/LBR/Agriculture/Arable land (% of land area)", - "World/North Africa/MAR/Agriculture/Arable land (% of land area)", - "World/South Africa/MOZ/Agriculture/Arable land (% of land area)", - "World/Latam/PAN/Agriculture/Arable land (% of land area)", - "World/Europe/POL/Agriculture/Arable land (% of land area)", - "World/Europe/SWE/Agriculture/Arable land (% of land area)", - "World/North Africa/TUR/Agriculture/Arable land (% of land area)", - "World/Pair/USA/Agriculture/Arable land (% of land area)", - "World/Persian Gulf/YEM/Agriculture/Arable land (% of land area)", - "World/Persian Gulf/ARE/Agriculture/Arable land (hectares per person)", - "World/Latam/ARG/Agriculture/Arable land (hectares per person)", - "World/Europe/AUT/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/AZE/Agriculture/Arable land (hectares per person)", - "World/Asia/BGD/Agriculture/Arable land (hectares per person)", - "World/Latam/CHL/Agriculture/Arable land (hectares per person)", - "World/Pair/CHN/Agriculture/Arable land (hectares per person)", - "World/South Africa/CMR/Agriculture/Arable land (hectares per person)", - "World/Latam/COL/Agriculture/Arable land (hectares per person)", - "World/North Africa/DZA/Agriculture/Arable land (hectares per person)", - "World/North Africa/EGY/Agriculture/Arable land (hectares per person)", - "World/Europe/ESP/Agriculture/Arable land (hectares per person)", - "World/Europe/FRA/Agriculture/Arable land (hectares per person)", - "World/South Africa/GHA/Agriculture/Arable land (hectares per person)", - "World/Europe/GRC/Agriculture/Arable land (hectares per person)", - "World/Asia/IND/Agriculture/Arable land (hectares per person)", - "World/Asia/KOR/Agriculture/Arable land (hectares per person)", - "World/South Africa/LBR/Agriculture/Arable land (hectares per person)", - "World/North Africa/MAR/Agriculture/Arable land (hectares per person)", - "World/Latam/MEX/Agriculture/Arable land (hectares per person)", - "World/South Africa/MOZ/Agriculture/Arable land (hectares per person)", - "World/South Africa/NGA/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/OMN/Agriculture/Arable land (hectares per person)", - "World/Latam/PAN/Agriculture/Arable land (hectares per person)", - "World/Latam/PER/Agriculture/Arable land (hectares per person)", - "World/Asia/PHL/Agriculture/Arable land (hectares per person)", - "World/Europe/POL/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/QAT/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/SAU/Agriculture/Arable land (hectares per person)", - "World/Europe/SWE/Agriculture/Arable land (hectares per person)", - "World/North Africa/TUR/Agriculture/Arable land (hectares per person)", - "World/Pair/USA/Agriculture/Arable land (hectares per person)", - "World/Latam/VEN/Agriculture/Arable land (hectares per person)", - "World/Persian Gulf/YEM/Agriculture/Arable land (hectares per person)", - "World/South Africa/ZAF/Agriculture/Arable land (hectares per person)", - "World/Europe/AUT/Agriculture/Arable land (hectares)", - "World/Persian Gulf/AZE/Agriculture/Arable land (hectares)", - "World/Asia/BGD/Agriculture/Arable land (hectares)", - "World/Latam/BRA/Agriculture/Arable land (hectares)", - "World/Latam/CHL/Agriculture/Arable land (hectares)", - "World/Pair/CHN/Agriculture/Arable land (hectares)", - "World/South Africa/CMR/Agriculture/Arable land (hectares)", - "World/Latam/COL/Agriculture/Arable land (hectares)", - "World/Latam/CRI/Agriculture/Arable land (hectares)", - "World/South Africa/GHA/Agriculture/Arable land (hectares)", - "World/Europe/GRC/Agriculture/Arable land (hectares)", - "World/Asia/IDN/Agriculture/Arable land (hectares)", - "World/Asia/IND/Agriculture/Arable land (hectares)", - "World/Asia/KOR/Agriculture/Arable land (hectares)", - "World/South Africa/LBR/Agriculture/Arable land (hectares)", - "World/North Africa/MAR/Agriculture/Arable land (hectares)", - "World/South Africa/MOZ/Agriculture/Arable land (hectares)", - "World/Latam/PAN/Agriculture/Arable land (hectares)", - "World/Europe/POL/Agriculture/Arable land (hectares)", - "World/Europe/SWE/Agriculture/Arable land (hectares)", - "World/North Africa/TUR/Agriculture/Arable land (hectares)", - "World/Pair/USA/Agriculture/Arable land (hectares)", - "World/Persian Gulf/YEM/Agriculture/Arable land (hectares)", - "World/Persian Gulf/ARE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/ARG/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Persian Gulf/AZE/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/BGD/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Pair/CHN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/CMR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/COL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/CRI/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Europe/DEU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/DZA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/EGY/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Europe/FRA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/GHA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Europe/HRV/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/IDN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/IND/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/ISR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/LBR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/MAR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/MEX/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/MOZ/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/NGA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/PAN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/PER/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/PHL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Europe/POL/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Persian Gulf/SAU/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/SEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/THA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/North Africa/TUR/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Pair/USA/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Latam/VEN/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Asia/VNM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Persian Gulf/YEM/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/South Africa/ZAF/Industry/Automated teller machines (ATMs) (per 100,000 adults)", - "World/Persian Gulf/ARE/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/BGD/Mortality/Births attended by skilled health staff (% of total)", - "World/Pair/CHN/Mortality/Births attended by skilled health staff (% of total)", - "World/Latam/CRI/Mortality/Births attended by skilled health staff (% of total)", - "World/North Africa/DZA/Mortality/Births attended by skilled health staff (% of total)", - "World/North Africa/EGY/Mortality/Births attended by skilled health staff (% of total)", - "World/South Africa/GHA/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/IDN/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/IND/Mortality/Births attended by skilled health staff (% of total)", - "World/North Africa/MAR/Mortality/Births attended by skilled health staff (% of total)", - "World/Latam/MEX/Mortality/Births attended by skilled health staff (% of total)", - "World/South Africa/MOZ/Mortality/Births attended by skilled health staff (% of total)", - "World/Latam/PER/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/PHL/Mortality/Births attended by skilled health staff (% of total)", - "World/Persian Gulf/SAU/Mortality/Births attended by skilled health staff (% of total)", - "World/North Africa/TUR/Mortality/Births attended by skilled health staff (% of total)", - "World/Pair/USA/Mortality/Births attended by skilled health staff (% of total)", - "World/Asia/VNM/Mortality/Births attended by skilled health staff (% of total)", - "World/Persian Gulf/YEM/Mortality/Births attended by skilled health staff (% of total)", - "World/South Africa/ZAF/Mortality/Births attended by skilled health staff (% of total)", - "World/Persian Gulf/ARE/Economy/Broad money (% of GDP)", - "World/Latam/ARG/Economy/Broad money (% of GDP)", - "World/Persian Gulf/AZE/Economy/Broad money (% of GDP)", - "World/Asia/BGD/Economy/Broad money (% of GDP)", - "World/Latam/BRA/Economy/Broad money (% of GDP)", - "World/Pair/CHN/Economy/Broad money (% of GDP)", - "World/South Africa/CMR/Economy/Broad money (% of GDP)", - "World/North Africa/DZA/Economy/Broad money (% of GDP)", - "World/Europe/GBR/Economy/Broad money (% of GDP)", - "World/Europe/HRV/Economy/Broad money (% of GDP)", - "World/Asia/IND/Economy/Broad money (% of GDP)", - "World/North Africa/ISR/Economy/Broad money (% of GDP)", - "World/Asia/KOR/Economy/Broad money (% of GDP)", - "World/North Africa/MAR/Economy/Broad money (% of GDP)", - "World/Latam/MEX/Economy/Broad money (% of GDP)", - "World/South Africa/MOZ/Economy/Broad money (% of GDP)", - "World/Latam/PER/Economy/Broad money (% of GDP)", - "World/Asia/PHL/Economy/Broad money (% of GDP)", - "World/Europe/POL/Economy/Broad money (% of GDP)", - "World/Persian Gulf/QAT/Economy/Broad money (% of GDP)", - "World/South Africa/SEN/Economy/Broad money (% of GDP)", - "World/North Africa/TUR/Economy/Broad money (% of GDP)", - "World/Pair/USA/Economy/Broad money (% of GDP)", - "World/Latam/VEN/Economy/Broad money (% of GDP)", - "World/Asia/VNM/Economy/Broad money (% of GDP)", - "World/Europe/AUT/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/BGD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Pair/CHN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Latam/CRI/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/DEU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/North Africa/EGY/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/FRA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/GBR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/GRC/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/HRV/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/IND/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/North Africa/ISR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/KOR/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Latam/MEX/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/South Africa/NGA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/NLD/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Latam/PAN/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/PHL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/POL/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/SWE/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/THA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Pair/USA/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Asia/VNM/Environment/CO2 emissions (kg per 2015 US$ of GDP)", - "World/Europe/AUT/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/BGD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Pair/CHN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Latam/CRI/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/DEU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/North Africa/EGY/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/FRA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/GBR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/GRC/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/HRV/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/IND/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/North Africa/ISR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/KOR/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Latam/MEX/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/South Africa/NGA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/NLD/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Latam/PAN/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/PHL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/POL/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Persian Gulf/SAU/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Europe/SWE/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/THA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Pair/USA/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Asia/VNM/Environment/CO2 emissions (kg per 2017 PPP $ of GDP)", - "World/Latam/ARG/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/AUT/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Persian Gulf/AZE/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/BGD/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/BRA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/CHL/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Pair/CHN/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/COL/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/CRI/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/DEU/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/North Africa/EGY/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/ESP/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/FRA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/GBR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/GRC/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/HRV/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/IDN/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/IND/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/North Africa/ISR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/KOR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/North Africa/MAR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/MEX/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/South Africa/NGA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/NLD/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/PAN/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Latam/PER/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/POL/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Europe/SWE/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Asia/THA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/North Africa/TUR/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Pair/USA/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/South Africa/ZAF/Environment/CO2 emissions (kg per PPP $ of GDP)", - "World/Persian Gulf/ARE/Environment/CO2 emissions (kt)", - "World/Latam/ARG/Environment/CO2 emissions (kt)", - "World/Asia/BGD/Environment/CO2 emissions (kt)", - "World/Latam/BRA/Environment/CO2 emissions (kt)", - "World/Latam/CHL/Environment/CO2 emissions (kt)", - "World/Pair/CHN/Environment/CO2 emissions (kt)", - "World/Latam/COL/Environment/CO2 emissions (kt)", - "World/Latam/CRI/Environment/CO2 emissions (kt)", - "World/Europe/DEU/Environment/CO2 emissions (kt)", - "World/North Africa/DZA/Environment/CO2 emissions (kt)", - "World/North Africa/EGY/Environment/CO2 emissions (kt)", - "World/Europe/GBR/Environment/CO2 emissions (kt)", - "World/South Africa/GHA/Environment/CO2 emissions (kt)", - "World/Asia/IDN/Environment/CO2 emissions (kt)", - "World/Asia/IND/Environment/CO2 emissions (kt)", - "World/Asia/KOR/Environment/CO2 emissions (kt)", - "World/South Africa/LBR/Environment/CO2 emissions (kt)", - "World/North Africa/MAR/Environment/CO2 emissions (kt)", - "World/Latam/MEX/Environment/CO2 emissions (kt)", - "World/South Africa/MOZ/Environment/CO2 emissions (kt)", - "World/South Africa/NGA/Environment/CO2 emissions (kt)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (kt)", - "World/Latam/PAN/Environment/CO2 emissions (kt)", - "World/Latam/PER/Environment/CO2 emissions (kt)", - "World/Asia/PHL/Environment/CO2 emissions (kt)", - "World/Persian Gulf/QAT/Environment/CO2 emissions (kt)", - "World/Persian Gulf/SAU/Environment/CO2 emissions (kt)", - "World/South Africa/SEN/Environment/CO2 emissions (kt)", - "World/Europe/SWE/Environment/CO2 emissions (kt)", - "World/Asia/THA/Environment/CO2 emissions (kt)", - "World/North Africa/TUR/Environment/CO2 emissions (kt)", - "World/Asia/VNM/Environment/CO2 emissions (kt)", - "World/South Africa/ZAF/Environment/CO2 emissions (kt)", - "World/Asia/BGD/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/BRA/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/CHL/Environment/CO2 emissions (metric tons per capita)", - "World/Pair/CHN/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/CRI/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/DEU/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/DZA/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/EGY/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/GBR/Environment/CO2 emissions (metric tons per capita)", - "World/South Africa/GHA/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/GRC/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/IDN/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/IND/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/ISR/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/KOR/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/MAR/Environment/CO2 emissions (metric tons per capita)", - "World/South Africa/MOZ/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/NLD/Environment/CO2 emissions (metric tons per capita)", - "World/Persian Gulf/OMN/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/PAN/Environment/CO2 emissions (metric tons per capita)", - "World/Latam/PER/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/PHL/Environment/CO2 emissions (metric tons per capita)", - "World/Persian Gulf/SAU/Environment/CO2 emissions (metric tons per capita)", - "World/South Africa/SEN/Environment/CO2 emissions (metric tons per capita)", - "World/Europe/SWE/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/THA/Environment/CO2 emissions (metric tons per capita)", - "World/North Africa/TUR/Environment/CO2 emissions (metric tons per capita)", - "World/Pair/USA/Environment/CO2 emissions (metric tons per capita)", - "World/Asia/VNM/Environment/CO2 emissions (metric tons per capita)", - "World/Persian Gulf/ARE/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/ARG/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/AZE/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/BGD/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/BRA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Pair/CHN/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/COL/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/DZA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/EGY/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Europe/ESP/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/IND/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/ISR/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/KOR/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/MAR/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/MEX/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/South Africa/NGA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Europe/NLD/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/OMN/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Latam/PER/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Europe/POL/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/QAT/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/SAU/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/THA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/North Africa/TUR/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Pair/USA/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Asia/VNM/Environment/CO2 emissions from gaseous fuel consumption (kt)", - "World/Persian Gulf/ARE/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/BGD/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/BRA/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/CHL/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Pair/CHN/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/South Africa/CMR/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/CRI/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/North Africa/DZA/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/North Africa/EGY/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Europe/GBR/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/South Africa/GHA/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/IDN/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/IND/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/North Africa/MAR/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/South Africa/MOZ/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Europe/NLD/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Persian Gulf/OMN/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/PAN/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Latam/PER/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/PHL/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Europe/POL/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Persian Gulf/SAU/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/THA/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Asia/VNM/Environment/CO2 emissions from liquid fuel consumption (kt)", - "World/Persian Gulf/ARE/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Europe/AUT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Asia/BGD/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Latam/BRA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Latam/CHL/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Pair/CHN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/South Africa/CMR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Asia/IDN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Asia/IND/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Asia/KOR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/North Africa/MAR/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Latam/MEX/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/South Africa/NGA/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Persian Gulf/OMN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Persian Gulf/QAT/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Persian Gulf/SAU/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/South Africa/SEN/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Asia/VNM/Environment/CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "World/Persian Gulf/ARE/Industry/Capture fisheries production (metric tons)", - "World/Persian Gulf/AZE/Industry/Capture fisheries production (metric tons)", - "World/Asia/BGD/Industry/Capture fisheries production (metric tons)", - "World/Latam/CHL/Industry/Capture fisheries production (metric tons)", - "World/South Africa/CMR/Industry/Capture fisheries production (metric tons)", - "World/Latam/CRI/Industry/Capture fisheries production (metric tons)", - "World/Europe/GRC/Industry/Capture fisheries production (metric tons)", - "World/Europe/HRV/Industry/Capture fisheries production (metric tons)", - "World/Asia/IDN/Industry/Capture fisheries production (metric tons)", - "World/Asia/IND/Industry/Capture fisheries production (metric tons)", - "World/North Africa/ISR/Industry/Capture fisheries production (metric tons)", - "World/North Africa/MAR/Industry/Capture fisheries production (metric tons)", - "World/South Africa/MOZ/Industry/Capture fisheries production (metric tons)", - "World/South Africa/NGA/Industry/Capture fisheries production (metric tons)", - "World/Persian Gulf/OMN/Industry/Capture fisheries production (metric tons)", - "World/Asia/PHL/Industry/Capture fisheries production (metric tons)", - "World/Persian Gulf/SAU/Industry/Capture fisheries production (metric tons)", - "World/Asia/THA/Industry/Capture fisheries production (metric tons)", - "World/Asia/VNM/Industry/Capture fisheries production (metric tons)", - "World/Asia/BGD/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/BRA/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/CHL/Agriculture/Cereal yield (kg per hectare)", - "World/Pair/CHN/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/COL/Agriculture/Cereal yield (kg per hectare)", - "World/South Africa/GHA/Agriculture/Cereal yield (kg per hectare)", - "World/Asia/IDN/Agriculture/Cereal yield (kg per hectare)", - "World/Asia/IND/Agriculture/Cereal yield (kg per hectare)", - "World/North Africa/ISR/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/MEX/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/PAN/Agriculture/Cereal yield (kg per hectare)", - "World/Latam/PER/Agriculture/Cereal yield (kg per hectare)", - "World/Asia/PHL/Agriculture/Cereal yield (kg per hectare)", - "World/Persian Gulf/QAT/Agriculture/Cereal yield (kg per hectare)", - "World/Persian Gulf/SAU/Agriculture/Cereal yield (kg per hectare)", - "World/North Africa/TUR/Agriculture/Cereal yield (kg per hectare)", - "World/Pair/USA/Agriculture/Cereal yield (kg per hectare)", - "World/Asia/VNM/Agriculture/Cereal yield (kg per hectare)", - "World/Europe/AUT/Environment/Combustible renewables and waste (% of total energy)", - "World/Persian Gulf/AZE/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/BGD/Environment/Combustible renewables and waste (% of total energy)", - "World/Pair/CHN/Environment/Combustible renewables and waste (% of total energy)", - "World/Latam/COL/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/DEU/Environment/Combustible renewables and waste (% of total energy)", - "World/North Africa/DZA/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/GBR/Environment/Combustible renewables and waste (% of total energy)", - "World/South Africa/GHA/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/IDN/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/IND/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/KOR/Environment/Combustible renewables and waste (% of total energy)", - "World/North Africa/MAR/Environment/Combustible renewables and waste (% of total energy)", - "World/Latam/MEX/Environment/Combustible renewables and waste (% of total energy)", - "World/South Africa/MOZ/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/NLD/Environment/Combustible renewables and waste (% of total energy)", - "World/Latam/PAN/Environment/Combustible renewables and waste (% of total energy)", - "World/Latam/PER/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/PHL/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/POL/Environment/Combustible renewables and waste (% of total energy)", - "World/Persian Gulf/SAU/Environment/Combustible renewables and waste (% of total energy)", - "World/Europe/SWE/Environment/Combustible renewables and waste (% of total energy)", - "World/North Africa/TUR/Environment/Combustible renewables and waste (% of total energy)", - "World/Pair/USA/Environment/Combustible renewables and waste (% of total energy)", - "World/Asia/VNM/Environment/Combustible renewables and waste (% of total energy)", - "World/Persian Gulf/ARE/Economy/Commercial bank branches (per 100,000 adults)", - "World/Asia/BGD/Economy/Commercial bank branches (per 100,000 adults)", - "World/Pair/CHN/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/CMR/Economy/Commercial bank branches (per 100,000 adults)", - "World/Latam/CRI/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/DEU/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/DZA/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/EGY/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/FRA/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/GBR/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/GHA/Economy/Commercial bank branches (per 100,000 adults)", - "World/Asia/IDN/Economy/Commercial bank branches (per 100,000 adults)", - "World/Asia/IND/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/ISR/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/MAR/Economy/Commercial bank branches (per 100,000 adults)", - "World/Latam/MEX/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/MOZ/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/NLD/Economy/Commercial bank branches (per 100,000 adults)", - "World/Persian Gulf/OMN/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/POL/Economy/Commercial bank branches (per 100,000 adults)", - "World/Persian Gulf/QAT/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/SEN/Economy/Commercial bank branches (per 100,000 adults)", - "World/North Africa/TUR/Economy/Commercial bank branches (per 100,000 adults)", - "World/Pair/USA/Economy/Commercial bank branches (per 100,000 adults)", - "World/Persian Gulf/YEM/Economy/Commercial bank branches (per 100,000 adults)", - "World/South Africa/ZAF/Economy/Commercial bank branches (per 100,000 adults)", - "World/Europe/AUT/Exports/Commercial service exports (current US$)", - "World/Persian Gulf/AZE/Exports/Commercial service exports (current US$)", - "World/Asia/BGD/Exports/Commercial service exports (current US$)", - "World/Latam/BRA/Exports/Commercial service exports (current US$)", - "World/Latam/CHL/Exports/Commercial service exports (current US$)", - "World/Pair/CHN/Exports/Commercial service exports (current US$)", - "World/South Africa/CMR/Exports/Commercial service exports (current US$)", - "World/Latam/COL/Exports/Commercial service exports (current US$)", - "World/Latam/CRI/Exports/Commercial service exports (current US$)", - "World/Europe/DEU/Exports/Commercial service exports (current US$)", - "World/North Africa/DZA/Exports/Commercial service exports (current US$)", - "World/Europe/ESP/Exports/Commercial service exports (current US$)", - "World/Europe/FRA/Exports/Commercial service exports (current US$)", - "World/Europe/GBR/Exports/Commercial service exports (current US$)", - "World/South Africa/GHA/Exports/Commercial service exports (current US$)", - "World/Europe/GRC/Exports/Commercial service exports (current US$)", - "World/Europe/HRV/Exports/Commercial service exports (current US$)", - "World/Asia/IDN/Exports/Commercial service exports (current US$)", - "World/Asia/IND/Exports/Commercial service exports (current US$)", - "World/North Africa/ISR/Exports/Commercial service exports (current US$)", - "World/Asia/KOR/Exports/Commercial service exports (current US$)", - "World/North Africa/MAR/Exports/Commercial service exports (current US$)", - "World/Europe/NLD/Exports/Commercial service exports (current US$)", - "World/Persian Gulf/OMN/Exports/Commercial service exports (current US$)", - "World/Latam/PAN/Exports/Commercial service exports (current US$)", - "World/Latam/PER/Exports/Commercial service exports (current US$)", - "World/Asia/PHL/Exports/Commercial service exports (current US$)", - "World/Europe/POL/Exports/Commercial service exports (current US$)", - "World/Persian Gulf/QAT/Exports/Commercial service exports (current US$)", - "World/South Africa/SEN/Exports/Commercial service exports (current US$)", - "World/Europe/SWE/Exports/Commercial service exports (current US$)", - "World/Asia/THA/Exports/Commercial service exports (current US$)", - "World/North Africa/TUR/Exports/Commercial service exports (current US$)", - "World/Pair/USA/Exports/Commercial service exports (current US$)", - "World/Asia/VNM/Exports/Commercial service exports (current US$)", - "World/South Africa/ZAF/Exports/Commercial service exports (current US$)", - "World/Latam/ARG/Imports/Commercial service imports (current US$)", - "World/Europe/AUT/Imports/Commercial service imports (current US$)", - "World/Persian Gulf/AZE/Imports/Commercial service imports (current US$)", - "World/Asia/BGD/Imports/Commercial service imports (current US$)", - "World/Latam/BRA/Imports/Commercial service imports (current US$)", - "World/Latam/CHL/Imports/Commercial service imports (current US$)", - "World/Pair/CHN/Imports/Commercial service imports (current US$)", - "World/South Africa/CMR/Imports/Commercial service imports (current US$)", - "World/Latam/COL/Imports/Commercial service imports (current US$)", - "World/Latam/CRI/Imports/Commercial service imports (current US$)", - "World/Europe/DEU/Imports/Commercial service imports (current US$)", - "World/North Africa/DZA/Imports/Commercial service imports (current US$)", - "World/North Africa/EGY/Imports/Commercial service imports (current US$)", - "World/Europe/ESP/Imports/Commercial service imports (current US$)", - "World/Europe/FRA/Imports/Commercial service imports (current US$)", - "World/Europe/GBR/Imports/Commercial service imports (current US$)", - "World/South Africa/GHA/Imports/Commercial service imports (current US$)", - "World/Europe/HRV/Imports/Commercial service imports (current US$)", - "World/Asia/IDN/Imports/Commercial service imports (current US$)", - "World/Asia/IND/Imports/Commercial service imports (current US$)", - "World/North Africa/ISR/Imports/Commercial service imports (current US$)", - "World/Asia/KOR/Imports/Commercial service imports (current US$)", - "World/North Africa/MAR/Imports/Commercial service imports (current US$)", - "World/Latam/MEX/Imports/Commercial service imports (current US$)", - "World/South Africa/MOZ/Imports/Commercial service imports (current US$)", - "World/South Africa/NGA/Imports/Commercial service imports (current US$)", - "World/Europe/NLD/Imports/Commercial service imports (current US$)", - "World/Persian Gulf/OMN/Imports/Commercial service imports (current US$)", - "World/Latam/PAN/Imports/Commercial service imports (current US$)", - "World/Latam/PER/Imports/Commercial service imports (current US$)", - "World/Asia/PHL/Imports/Commercial service imports (current US$)", - "World/Europe/POL/Imports/Commercial service imports (current US$)", - "World/Persian Gulf/QAT/Imports/Commercial service imports (current US$)", - "World/South Africa/SEN/Imports/Commercial service imports (current US$)", - "World/Europe/SWE/Imports/Commercial service imports (current US$)", - "World/Asia/THA/Imports/Commercial service imports (current US$)", - "World/North Africa/TUR/Imports/Commercial service imports (current US$)", - "World/Pair/USA/Imports/Commercial service imports (current US$)", - "World/Asia/VNM/Imports/Commercial service imports (current US$)", - "World/South Africa/ZAF/Imports/Commercial service imports (current US$)", - "World/Latam/ARG/Demoraphy/Completeness of birth registration (%)", - "World/Asia/BGD/Demoraphy/Completeness of birth registration (%)", - "World/Latam/BRA/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/CMR/Demoraphy/Completeness of birth registration (%)", - "World/Latam/COL/Demoraphy/Completeness of birth registration (%)", - "World/Latam/CRI/Demoraphy/Completeness of birth registration (%)", - "World/North Africa/DZA/Demoraphy/Completeness of birth registration (%)", - "World/North Africa/EGY/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/GHA/Demoraphy/Completeness of birth registration (%)", - "World/Asia/IND/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/LBR/Demoraphy/Completeness of birth registration (%)", - "World/North Africa/MAR/Demoraphy/Completeness of birth registration (%)", - "World/Latam/MEX/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/MOZ/Demoraphy/Completeness of birth registration (%)", - "World/South Africa/NGA/Demoraphy/Completeness of birth registration (%)", - "World/Latam/PAN/Demoraphy/Completeness of birth registration (%)", - "World/Latam/PER/Demoraphy/Completeness of birth registration (%)", - "World/Asia/PHL/Demoraphy/Completeness of birth registration (%)", - "World/North Africa/TUR/Demoraphy/Completeness of birth registration (%)", - "World/Latam/VEN/Demoraphy/Completeness of birth registration (%)", - "World/Asia/VNM/Demoraphy/Completeness of birth registration (%)", - "World/Persian Gulf/ARE/Economy/Consumer price index (2010 = 100)", - "World/Europe/AUT/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/AZE/Economy/Consumer price index (2010 = 100)", - "World/Asia/BGD/Economy/Consumer price index (2010 = 100)", - "World/Latam/BRA/Economy/Consumer price index (2010 = 100)", - "World/Latam/CHL/Economy/Consumer price index (2010 = 100)", - "World/Pair/CHN/Economy/Consumer price index (2010 = 100)", - "World/South Africa/CMR/Economy/Consumer price index (2010 = 100)", - "World/Latam/COL/Economy/Consumer price index (2010 = 100)", - "World/Latam/CRI/Economy/Consumer price index (2010 = 100)", - "World/Europe/DEU/Economy/Consumer price index (2010 = 100)", - "World/North Africa/DZA/Economy/Consumer price index (2010 = 100)", - "World/North Africa/EGY/Economy/Consumer price index (2010 = 100)", - "World/Europe/ESP/Economy/Consumer price index (2010 = 100)", - "World/Europe/FRA/Economy/Consumer price index (2010 = 100)", - "World/Europe/GBR/Economy/Consumer price index (2010 = 100)", - "World/South Africa/GHA/Economy/Consumer price index (2010 = 100)", - "World/Europe/GRC/Economy/Consumer price index (2010 = 100)", - "World/Asia/IDN/Economy/Consumer price index (2010 = 100)", - "World/Asia/IND/Economy/Consumer price index (2010 = 100)", - "World/North Africa/ISR/Economy/Consumer price index (2010 = 100)", - "World/Asia/KOR/Economy/Consumer price index (2010 = 100)", - "World/South Africa/LBR/Economy/Consumer price index (2010 = 100)", - "World/North Africa/MAR/Economy/Consumer price index (2010 = 100)", - "World/Latam/MEX/Economy/Consumer price index (2010 = 100)", - "World/South Africa/MOZ/Economy/Consumer price index (2010 = 100)", - "World/South Africa/NGA/Economy/Consumer price index (2010 = 100)", - "World/Europe/NLD/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/OMN/Economy/Consumer price index (2010 = 100)", - "World/Latam/PAN/Economy/Consumer price index (2010 = 100)", - "World/Latam/PER/Economy/Consumer price index (2010 = 100)", - "World/Asia/PHL/Economy/Consumer price index (2010 = 100)", - "World/Europe/POL/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/QAT/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/SAU/Economy/Consumer price index (2010 = 100)", - "World/South Africa/SEN/Economy/Consumer price index (2010 = 100)", - "World/Europe/SWE/Economy/Consumer price index (2010 = 100)", - "World/Asia/THA/Economy/Consumer price index (2010 = 100)", - "World/North Africa/TUR/Economy/Consumer price index (2010 = 100)", - "World/Pair/USA/Economy/Consumer price index (2010 = 100)", - "World/Latam/VEN/Economy/Consumer price index (2010 = 100)", - "World/Asia/VNM/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/YEM/Economy/Consumer price index (2010 = 100)", - "World/South Africa/ZAF/Economy/Consumer price index (2010 = 100)", - "World/Persian Gulf/ARE/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/BGD/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/CHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Pair/CHN/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/CMR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/COL/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/CRI/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/DEU/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/ESP/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/FRA/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/GBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/GHA/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/IDN/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/IND/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/North Africa/ISR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/KOR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/LBR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/North Africa/MAR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/MEX/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/MOZ/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/NLD/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Persian Gulf/OMN/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/PAN/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Latam/PER/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/PHL/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/POL/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Persian Gulf/QAT/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Persian Gulf/SAU/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Europe/SWE/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/THA/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/North Africa/TUR/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Pair/USA/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Asia/VNM/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/South Africa/ZAF/Exports/Container port traffic (TEU: 20 foot equivalent units)", - "World/Persian Gulf/AZE/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/BGD/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/BRA/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/CHL/Agriculture/Crop production index (2014-2016 = 100)", - "World/Pair/CHN/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/CMR/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/COL/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/CRI/Agriculture/Crop production index (2014-2016 = 100)", - "World/North Africa/DZA/Agriculture/Crop production index (2014-2016 = 100)", - "World/North Africa/EGY/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/GHA/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/IDN/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/IND/Agriculture/Crop production index (2014-2016 = 100)", - "World/North Africa/MAR/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/MEX/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/MOZ/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/NGA/Agriculture/Crop production index (2014-2016 = 100)", - "World/Persian Gulf/OMN/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/PER/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/PHL/Agriculture/Crop production index (2014-2016 = 100)", - "World/Persian Gulf/QAT/Agriculture/Crop production index (2014-2016 = 100)", - "World/South Africa/SEN/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/THA/Agriculture/Crop production index (2014-2016 = 100)", - "World/North Africa/TUR/Agriculture/Crop production index (2014-2016 = 100)", - "World/Pair/USA/Agriculture/Crop production index (2014-2016 = 100)", - "World/Asia/VNM/Agriculture/Crop production index (2014-2016 = 100)", - "World/Persian Gulf/YEM/Agriculture/Crop production index (2014-2016 = 100)", - "World/Latam/ARG/Health/Current health expenditure (% of GDP)", - "World/Europe/AUT/Health/Current health expenditure (% of GDP)", - "World/Latam/CHL/Health/Current health expenditure (% of GDP)", - "World/Pair/CHN/Health/Current health expenditure (% of GDP)", - "World/South Africa/CMR/Health/Current health expenditure (% of GDP)", - "World/Latam/COL/Health/Current health expenditure (% of GDP)", - "World/Latam/CRI/Health/Current health expenditure (% of GDP)", - "World/Europe/ESP/Health/Current health expenditure (% of GDP)", - "World/Europe/FRA/Health/Current health expenditure (% of GDP)", - "World/Europe/GBR/Health/Current health expenditure (% of GDP)", - "World/Europe/GRC/Health/Current health expenditure (% of GDP)", - "World/Asia/IDN/Health/Current health expenditure (% of GDP)", - "World/Asia/IND/Health/Current health expenditure (% of GDP)", - "World/Asia/KOR/Health/Current health expenditure (% of GDP)", - "World/South Africa/MOZ/Health/Current health expenditure (% of GDP)", - "World/Europe/NLD/Health/Current health expenditure (% of GDP)", - "World/Latam/PER/Health/Current health expenditure (% of GDP)", - "World/Europe/POL/Health/Current health expenditure (% of GDP)", - "World/Europe/SWE/Health/Current health expenditure (% of GDP)", - "World/Asia/THA/Health/Current health expenditure (% of GDP)", - "World/Pair/USA/Health/Current health expenditure (% of GDP)", - "World/Asia/VNM/Health/Current health expenditure (% of GDP)", - "World/Persian Gulf/YEM/Health/Current health expenditure (% of GDP)", - "World/Persian Gulf/ARE/Health/Current health expenditure per capita (current US$)", - "World/Latam/ARG/Health/Current health expenditure per capita (current US$)", - "World/Europe/AUT/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Health/Current health expenditure per capita (current US$)", - "World/Asia/BGD/Health/Current health expenditure per capita (current US$)", - "World/Latam/BRA/Health/Current health expenditure per capita (current US$)", - "World/Latam/CHL/Health/Current health expenditure per capita (current US$)", - "World/Pair/CHN/Health/Current health expenditure per capita (current US$)", - "World/South Africa/CMR/Health/Current health expenditure per capita (current US$)", - "World/Latam/COL/Health/Current health expenditure per capita (current US$)", - "World/Latam/CRI/Health/Current health expenditure per capita (current US$)", - "World/Europe/DEU/Health/Current health expenditure per capita (current US$)", - "World/North Africa/DZA/Health/Current health expenditure per capita (current US$)", - "World/Europe/ESP/Health/Current health expenditure per capita (current US$)", - "World/Europe/FRA/Health/Current health expenditure per capita (current US$)", - "World/Europe/GBR/Health/Current health expenditure per capita (current US$)", - "World/South Africa/GHA/Health/Current health expenditure per capita (current US$)", - "World/Europe/GRC/Health/Current health expenditure per capita (current US$)", - "World/Europe/HRV/Health/Current health expenditure per capita (current US$)", - "World/Asia/IDN/Health/Current health expenditure per capita (current US$)", - "World/Asia/IND/Health/Current health expenditure per capita (current US$)", - "World/North Africa/ISR/Health/Current health expenditure per capita (current US$)", - "World/Asia/KOR/Health/Current health expenditure per capita (current US$)", - "World/South Africa/LBR/Health/Current health expenditure per capita (current US$)", - "World/North Africa/MAR/Health/Current health expenditure per capita (current US$)", - "World/Latam/MEX/Health/Current health expenditure per capita (current US$)", - "World/South Africa/MOZ/Health/Current health expenditure per capita (current US$)", - "World/South Africa/NGA/Health/Current health expenditure per capita (current US$)", - "World/Europe/NLD/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/OMN/Health/Current health expenditure per capita (current US$)", - "World/Latam/PAN/Health/Current health expenditure per capita (current US$)", - "World/Latam/PER/Health/Current health expenditure per capita (current US$)", - "World/Asia/PHL/Health/Current health expenditure per capita (current US$)", - "World/Europe/POL/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/QAT/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/SAU/Health/Current health expenditure per capita (current US$)", - "World/South Africa/SEN/Health/Current health expenditure per capita (current US$)", - "World/Europe/SWE/Health/Current health expenditure per capita (current US$)", - "World/Asia/THA/Health/Current health expenditure per capita (current US$)", - "World/Pair/USA/Health/Current health expenditure per capita (current US$)", - "World/Latam/VEN/Health/Current health expenditure per capita (current US$)", - "World/Asia/VNM/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/YEM/Health/Current health expenditure per capita (current US$)", - "World/South Africa/ZAF/Health/Current health expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/BGD/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/CHL/Economy/Customs and other import duties (% of tax revenue)", - "World/Pair/CHN/Economy/Customs and other import duties (% of tax revenue)", - "World/South Africa/CMR/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/COL/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/CRI/Economy/Customs and other import duties (% of tax revenue)", - "World/North Africa/EGY/Economy/Customs and other import duties (% of tax revenue)", - "World/Europe/ESP/Economy/Customs and other import duties (% of tax revenue)", - "World/Europe/HRV/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/IND/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/KOR/Economy/Customs and other import duties (% of tax revenue)", - "World/North Africa/MAR/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/MEX/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/PAN/Economy/Customs and other import duties (% of tax revenue)", - "World/Latam/PER/Economy/Customs and other import duties (% of tax revenue)", - "World/Europe/POL/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/THA/Economy/Customs and other import duties (% of tax revenue)", - "World/Asia/BGD/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/CHL/Economy/Domestic credit to private sector (% of GDP)", - "World/Pair/CHN/Economy/Domestic credit to private sector (% of GDP)", - "World/South Africa/CMR/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/COL/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/CRI/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/DEU/Economy/Domestic credit to private sector (% of GDP)", - "World/North Africa/DZA/Economy/Domestic credit to private sector (% of GDP)", - "World/North Africa/EGY/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/FRA/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/GRC/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/HRV/Economy/Domestic credit to private sector (% of GDP)", - "World/Asia/IND/Economy/Domestic credit to private sector (% of GDP)", - "World/Asia/KOR/Economy/Domestic credit to private sector (% of GDP)", - "World/South Africa/LBR/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/MEX/Economy/Domestic credit to private sector (% of GDP)", - "World/Persian Gulf/OMN/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/PER/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/POL/Economy/Domestic credit to private sector (% of GDP)", - "World/Persian Gulf/QAT/Economy/Domestic credit to private sector (% of GDP)", - "World/Persian Gulf/SAU/Economy/Domestic credit to private sector (% of GDP)", - "World/South Africa/SEN/Economy/Domestic credit to private sector (% of GDP)", - "World/Europe/SWE/Economy/Domestic credit to private sector (% of GDP)", - "World/North Africa/TUR/Economy/Domestic credit to private sector (% of GDP)", - "World/Latam/VEN/Economy/Domestic credit to private sector (% of GDP)", - "World/Asia/VNM/Economy/Domestic credit to private sector (% of GDP)", - "World/Persian Gulf/ARE/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Persian Gulf/AZE/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Asia/BGD/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/CHL/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Pair/CHN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/South Africa/CMR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/COL/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/CRI/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/DEU/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/North Africa/DZA/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/North Africa/EGY/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/GRC/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/HRV/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Asia/IND/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Asia/KOR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/South Africa/LBR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/North Africa/MAR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/MEX/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Persian Gulf/OMN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/PAN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/PER/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/POL/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Persian Gulf/QAT/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Persian Gulf/SAU/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/South Africa/SEN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Europe/SWE/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/North Africa/TUR/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/VEN/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Asia/VNM/Economy/Domestic credit to private sector by banks (% of GDP)", - "World/Latam/ARG/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/AUT/Health/Domestic general government health expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/BGD/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/BRA/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/CHL/Health/Domestic general government health expenditure per capita (current US$)", - "World/Pair/CHN/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/COL/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/CRI/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/DEU/Health/Domestic general government health expenditure per capita (current US$)", - "World/North Africa/DZA/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/ESP/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/FRA/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/GBR/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/GRC/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/HRV/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/IDN/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/IND/Health/Domestic general government health expenditure per capita (current US$)", - "World/North Africa/ISR/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/KOR/Health/Domestic general government health expenditure per capita (current US$)", - "World/South Africa/LBR/Health/Domestic general government health expenditure per capita (current US$)", - "World/North Africa/MAR/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/MEX/Health/Domestic general government health expenditure per capita (current US$)", - "World/South Africa/MOZ/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/NLD/Health/Domestic general government health expenditure per capita (current US$)", - "World/Persian Gulf/OMN/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/PAN/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/PER/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/PHL/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/POL/Health/Domestic general government health expenditure per capita (current US$)", - "World/Persian Gulf/QAT/Health/Domestic general government health expenditure per capita (current US$)", - "World/Persian Gulf/SAU/Health/Domestic general government health expenditure per capita (current US$)", - "World/Europe/SWE/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/THA/Health/Domestic general government health expenditure per capita (current US$)", - "World/North Africa/TUR/Health/Domestic general government health expenditure per capita (current US$)", - "World/Pair/USA/Health/Domestic general government health expenditure per capita (current US$)", - "World/Asia/VNM/Health/Domestic general government health expenditure per capita (current US$)", - "World/South Africa/ZAF/Health/Domestic general government health expenditure per capita (current US$)", - "World/Latam/ARG/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/AUT/Health/Domestic private health expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/BGD/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/BRA/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/CHL/Health/Domestic private health expenditure per capita (current US$)", - "World/Pair/CHN/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/CMR/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/COL/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/CRI/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/DEU/Health/Domestic private health expenditure per capita (current US$)", - "World/North Africa/DZA/Health/Domestic private health expenditure per capita (current US$)", - "World/North Africa/EGY/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/ESP/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/FRA/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/GBR/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/GHA/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/HRV/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/IDN/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/IND/Health/Domestic private health expenditure per capita (current US$)", - "World/North Africa/ISR/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/KOR/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/LBR/Health/Domestic private health expenditure per capita (current US$)", - "World/North Africa/MAR/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/NGA/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/NLD/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/PAN/Health/Domestic private health expenditure per capita (current US$)", - "World/Latam/PER/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/PHL/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/POL/Health/Domestic private health expenditure per capita (current US$)", - "World/Persian Gulf/QAT/Health/Domestic private health expenditure per capita (current US$)", - "World/Persian Gulf/SAU/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/SEN/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/SWE/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/THA/Health/Domestic private health expenditure per capita (current US$)", - "World/Pair/USA/Health/Domestic private health expenditure per capita (current US$)", - "World/Asia/VNM/Health/Domestic private health expenditure per capita (current US$)", - "World/Persian Gulf/YEM/Health/Domestic private health expenditure per capita (current US$)", - "World/South Africa/ZAF/Health/Domestic private health expenditure per capita (current US$)", - "World/Europe/AUT/Environment/Electric power consumption (kWh per capita)", - "World/Asia/BGD/Environment/Electric power consumption (kWh per capita)", - "World/Latam/BRA/Environment/Electric power consumption (kWh per capita)", - "World/Latam/CHL/Environment/Electric power consumption (kWh per capita)", - "World/Pair/CHN/Environment/Electric power consumption (kWh per capita)", - "World/South Africa/CMR/Environment/Electric power consumption (kWh per capita)", - "World/Latam/COL/Environment/Electric power consumption (kWh per capita)", - "World/Latam/CRI/Environment/Electric power consumption (kWh per capita)", - "World/North Africa/DZA/Environment/Electric power consumption (kWh per capita)", - "World/North Africa/EGY/Environment/Electric power consumption (kWh per capita)", - "World/Europe/GBR/Environment/Electric power consumption (kWh per capita)", - "World/Europe/GRC/Environment/Electric power consumption (kWh per capita)", - "World/Europe/HRV/Environment/Electric power consumption (kWh per capita)", - "World/Asia/IDN/Environment/Electric power consumption (kWh per capita)", - "World/Asia/IND/Environment/Electric power consumption (kWh per capita)", - "World/Asia/KOR/Environment/Electric power consumption (kWh per capita)", - "World/North Africa/MAR/Environment/Electric power consumption (kWh per capita)", - "World/Latam/MEX/Environment/Electric power consumption (kWh per capita)", - "World/South Africa/MOZ/Environment/Electric power consumption (kWh per capita)", - "World/South Africa/NGA/Environment/Electric power consumption (kWh per capita)", - "World/Persian Gulf/OMN/Environment/Electric power consumption (kWh per capita)", - "World/Latam/PAN/Environment/Electric power consumption (kWh per capita)", - "World/Latam/PER/Environment/Electric power consumption (kWh per capita)", - "World/Asia/PHL/Environment/Electric power consumption (kWh per capita)", - "World/Europe/POL/Environment/Electric power consumption (kWh per capita)", - "World/Persian Gulf/SAU/Environment/Electric power consumption (kWh per capita)", - "World/South Africa/SEN/Environment/Electric power consumption (kWh per capita)", - "World/Europe/SWE/Environment/Electric power consumption (kWh per capita)", - "World/Asia/THA/Environment/Electric power consumption (kWh per capita)", - "World/North Africa/TUR/Environment/Electric power consumption (kWh per capita)", - "World/Asia/VNM/Environment/Electric power consumption (kWh per capita)", - "World/Persian Gulf/YEM/Environment/Electric power consumption (kWh per capita)", - "World/Persian Gulf/ARE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/ARG/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/AUT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/AZE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/BGD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/BRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/CHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Pair/CHN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/CMR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/COL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/CRI/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/DEU/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/DZA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/EGY/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/ESP/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/FRA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/GBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/GHA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/IDN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/IND/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/ISR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/KOR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/LBR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/MAR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/MEX/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/MOZ/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/NGA/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/NLD/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/OMN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/PAN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/PER/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/PHL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/POL/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/QAT/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/SEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Europe/SWE/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/North Africa/TUR/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/VEN/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Asia/VNM/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/South Africa/ZAF/Employment/Employment in agriculture (% of total employment) (modeled ILO estimate)", - "World/Latam/ARG/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/AUT/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/AZE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/BGD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Latam/BRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Pair/CHN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/South Africa/CMR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Latam/CRI/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/DEU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/North Africa/DZA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/North Africa/EGY/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/ESP/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/FRA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/GBR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/GRC/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/HRV/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/IDN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/IND/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/North Africa/ISR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/KOR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/North Africa/MAR/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/South Africa/MOZ/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/NLD/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/OMN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/POL/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/SAU/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/South Africa/SEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Europe/SWE/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Pair/USA/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Latam/VEN/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Asia/VNM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/YEM/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/South Africa/ZAF/Employment/Employment in industry (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/ARE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/ARG/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/AUT/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/BGD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/BRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/CHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Pair/CHN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/CMR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/COL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/CRI/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/DEU/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/DZA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/EGY/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/ESP/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/FRA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/GBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/GHA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/GRC/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/HRV/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/IDN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/IND/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/ISR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/KOR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/LBR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/MAR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/MEX/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/MOZ/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/NGA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/NLD/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/OMN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/PAN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/PER/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/PHL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/POL/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/SEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Europe/SWE/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/THA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/North Africa/TUR/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Pair/USA/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Latam/VEN/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Asia/VNM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/YEM/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/South Africa/ZAF/Employment/Employment in services (% of total employment) (modeled ILO estimate)", - "World/Persian Gulf/AZE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/BGD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Pair/CHN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/South Africa/CMR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/CRI/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/DEU/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/North Africa/DZA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/GBR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/South Africa/GHA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/IDN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/IND/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/North Africa/ISR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/KOR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/MEX/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/South Africa/MOZ/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/South Africa/NGA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/NLD/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Persian Gulf/OMN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/PAN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/PER/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/PHL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/POL/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Europe/SWE/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/THA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/North Africa/TUR/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Pair/USA/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Latam/VEN/Environment/Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "World/Asia/BGD/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/BRA/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/CHL/Environment/Energy use (kg of oil equivalent per capita)", - "World/Pair/CHN/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/CRI/Environment/Energy use (kg of oil equivalent per capita)", - "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent per capita)", - "World/Europe/GBR/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/IDN/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/IND/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/KOR/Environment/Energy use (kg of oil equivalent per capita)", - "World/North Africa/MAR/Environment/Energy use (kg of oil equivalent per capita)", - "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent per capita)", - "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent per capita)", - "World/Europe/NLD/Environment/Energy use (kg of oil equivalent per capita)", - "World/Persian Gulf/OMN/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/PAN/Environment/Energy use (kg of oil equivalent per capita)", - "World/Latam/PER/Environment/Energy use (kg of oil equivalent per capita)", - "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/THA/Environment/Energy use (kg of oil equivalent per capita)", - "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent per capita)", - "World/Pair/USA/Environment/Energy use (kg of oil equivalent per capita)", - "World/Asia/VNM/Environment/Energy use (kg of oil equivalent per capita)", - "World/Europe/AUT/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Persian Gulf/AZE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/BGD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Pair/CHN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/CMR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Latam/COL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Latam/CRI/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/DEU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/North Africa/DZA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/ESP/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/FRA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/GBR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/GHA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/HRV/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/IDN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/IND/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/North Africa/ISR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/KOR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Latam/MEX/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/MOZ/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/NGA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/NLD/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Latam/PAN/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Asia/PHL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/POL/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Persian Gulf/SAU/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Europe/SWE/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/North Africa/TUR/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Pair/USA/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/South Africa/ZAF/Environment/Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "World/Persian Gulf/ARE/Exports/Export unit value index (2000 = 100)", - "World/Europe/AUT/Exports/Export unit value index (2000 = 100)", - "World/Persian Gulf/AZE/Exports/Export unit value index (2000 = 100)", - "World/Asia/BGD/Exports/Export unit value index (2000 = 100)", - "World/Latam/BRA/Exports/Export unit value index (2000 = 100)", - "World/Latam/CRI/Exports/Export unit value index (2000 = 100)", - "World/Europe/DEU/Exports/Export unit value index (2000 = 100)", - "World/North Africa/DZA/Exports/Export unit value index (2000 = 100)", - "World/Europe/ESP/Exports/Export unit value index (2000 = 100)", - "World/Europe/FRA/Exports/Export unit value index (2000 = 100)", - "World/South Africa/GHA/Exports/Export unit value index (2000 = 100)", - "World/Europe/GRC/Exports/Export unit value index (2000 = 100)", - "World/Europe/HRV/Exports/Export unit value index (2000 = 100)", - "World/Latam/MEX/Exports/Export unit value index (2000 = 100)", - "World/Europe/NLD/Exports/Export unit value index (2000 = 100)", - "World/Latam/PAN/Exports/Export unit value index (2000 = 100)", - "World/Europe/POL/Exports/Export unit value index (2000 = 100)", - "World/Europe/SWE/Exports/Export unit value index (2000 = 100)", - "World/Asia/THA/Exports/Export unit value index (2000 = 100)", - "World/Asia/VNM/Exports/Export unit value index (2000 = 100)", - "World/Persian Gulf/YEM/Exports/Export unit value index (2000 = 100)", - "World/South Africa/ZAF/Exports/Export unit value index (2000 = 100)", - "World/Persian Gulf/ARE/Exports/Export value index (2000 = 100)", - "World/Europe/AUT/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/AZE/Exports/Export value index (2000 = 100)", - "World/Asia/BGD/Exports/Export value index (2000 = 100)", - "World/Latam/BRA/Exports/Export value index (2000 = 100)", - "World/Latam/CHL/Exports/Export value index (2000 = 100)", - "World/Pair/CHN/Exports/Export value index (2000 = 100)", - "World/Latam/COL/Exports/Export value index (2000 = 100)", - "World/Latam/CRI/Exports/Export value index (2000 = 100)", - "World/Europe/DEU/Exports/Export value index (2000 = 100)", - "World/North Africa/DZA/Exports/Export value index (2000 = 100)", - "World/Europe/ESP/Exports/Export value index (2000 = 100)", - "World/Europe/FRA/Exports/Export value index (2000 = 100)", - "World/Europe/GBR/Exports/Export value index (2000 = 100)", - "World/South Africa/GHA/Exports/Export value index (2000 = 100)", - "World/Asia/IDN/Exports/Export value index (2000 = 100)", - "World/Asia/IND/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/IRQ/Exports/Export value index (2000 = 100)", - "World/Asia/KOR/Exports/Export value index (2000 = 100)", - "World/North Africa/MAR/Exports/Export value index (2000 = 100)", - "World/Latam/MEX/Exports/Export value index (2000 = 100)", - "World/South Africa/MOZ/Exports/Export value index (2000 = 100)", - "World/Europe/NLD/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/OMN/Exports/Export value index (2000 = 100)", - "World/Latam/PAN/Exports/Export value index (2000 = 100)", - "World/Latam/PER/Exports/Export value index (2000 = 100)", - "World/Asia/PHL/Exports/Export value index (2000 = 100)", - "World/Europe/POL/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/QAT/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/SAU/Exports/Export value index (2000 = 100)", - "World/South Africa/SEN/Exports/Export value index (2000 = 100)", - "World/Europe/SWE/Exports/Export value index (2000 = 100)", - "World/Asia/THA/Exports/Export value index (2000 = 100)", - "World/North Africa/TUR/Exports/Export value index (2000 = 100)", - "World/Pair/USA/Exports/Export value index (2000 = 100)", - "World/Latam/VEN/Exports/Export value index (2000 = 100)", - "World/Asia/VNM/Exports/Export value index (2000 = 100)", - "World/South Africa/ZAF/Exports/Export value index (2000 = 100)", - "World/Persian Gulf/ARE/Exports/Export volume index (2000 = 100)", - "World/Europe/AUT/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/AZE/Exports/Export volume index (2000 = 100)", - "World/Asia/BGD/Exports/Export volume index (2000 = 100)", - "World/Latam/BRA/Exports/Export volume index (2000 = 100)", - "World/Latam/CHL/Exports/Export volume index (2000 = 100)", - "World/Pair/CHN/Exports/Export volume index (2000 = 100)", - "World/Latam/COL/Exports/Export volume index (2000 = 100)", - "World/Latam/CRI/Exports/Export volume index (2000 = 100)", - "World/Europe/ESP/Exports/Export volume index (2000 = 100)", - "World/South Africa/GHA/Exports/Export volume index (2000 = 100)", - "World/Europe/GRC/Exports/Export volume index (2000 = 100)", - "World/Asia/IDN/Exports/Export volume index (2000 = 100)", - "World/Asia/IND/Exports/Export volume index (2000 = 100)", - "World/North Africa/ISR/Exports/Export volume index (2000 = 100)", - "World/Asia/KOR/Exports/Export volume index (2000 = 100)", - "World/North Africa/MAR/Exports/Export volume index (2000 = 100)", - "World/Latam/MEX/Exports/Export volume index (2000 = 100)", - "World/South Africa/MOZ/Exports/Export volume index (2000 = 100)", - "World/Europe/NLD/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/OMN/Exports/Export volume index (2000 = 100)", - "World/Latam/PAN/Exports/Export volume index (2000 = 100)", - "World/Latam/PER/Exports/Export volume index (2000 = 100)", - "World/Asia/PHL/Exports/Export volume index (2000 = 100)", - "World/Europe/POL/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/QAT/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/SAU/Exports/Export volume index (2000 = 100)", - "World/Asia/THA/Exports/Export volume index (2000 = 100)", - "World/North Africa/TUR/Exports/Export volume index (2000 = 100)", - "World/Pair/USA/Exports/Export volume index (2000 = 100)", - "World/Latam/VEN/Exports/Export volume index (2000 = 100)", - "World/Asia/VNM/Exports/Export volume index (2000 = 100)", - "World/Persian Gulf/YEM/Exports/Export volume index (2000 = 100)", - "World/South Africa/ZAF/Exports/Export volume index (2000 = 100)", - "World/Europe/AUT/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/AZE/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/BGD/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/BRA/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/CHL/Exports/Exports of goods and services (BoP, current US$)", - "World/Pair/CHN/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/COL/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/CRI/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/DEU/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/ESP/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/FRA/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/GBR/Exports/Exports of goods and services (BoP, current US$)", - "World/South Africa/GHA/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/HRV/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/IDN/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/IND/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/IRQ/Exports/Exports of goods and services (BoP, current US$)", - "World/North Africa/ISR/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/KOR/Exports/Exports of goods and services (BoP, current US$)", - "World/North Africa/MAR/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/MEX/Exports/Exports of goods and services (BoP, current US$)", - "World/South Africa/MOZ/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/NLD/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/OMN/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/PAN/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/PER/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/PHL/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/POL/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/SAU/Exports/Exports of goods and services (BoP, current US$)", - "World/South Africa/SEN/Exports/Exports of goods and services (BoP, current US$)", - "World/Europe/SWE/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/THA/Exports/Exports of goods and services (BoP, current US$)", - "World/North Africa/TUR/Exports/Exports of goods and services (BoP, current US$)", - "World/Pair/USA/Exports/Exports of goods and services (BoP, current US$)", - "World/Latam/VEN/Exports/Exports of goods and services (BoP, current US$)", - "World/Asia/VNM/Exports/Exports of goods and services (BoP, current US$)", - "World/South Africa/ZAF/Exports/Exports of goods and services (BoP, current US$)", - "World/Persian Gulf/ARE/Exports/Exports of goods and services (current US$)", - "World/Europe/AUT/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/AZE/Exports/Exports of goods and services (current US$)", - "World/Asia/BGD/Exports/Exports of goods and services (current US$)", - "World/Latam/BRA/Exports/Exports of goods and services (current US$)", - "World/Latam/CHL/Exports/Exports of goods and services (current US$)", - "World/Pair/CHN/Exports/Exports of goods and services (current US$)", - "World/Latam/COL/Exports/Exports of goods and services (current US$)", - "World/Latam/CRI/Exports/Exports of goods and services (current US$)", - "World/Europe/DEU/Exports/Exports of goods and services (current US$)", - "World/North Africa/DZA/Exports/Exports of goods and services (current US$)", - "World/Europe/ESP/Exports/Exports of goods and services (current US$)", - "World/Europe/FRA/Exports/Exports of goods and services (current US$)", - "World/Europe/GBR/Exports/Exports of goods and services (current US$)", - "World/South Africa/GHA/Exports/Exports of goods and services (current US$)", - "World/Europe/HRV/Exports/Exports of goods and services (current US$)", - "World/Asia/IDN/Exports/Exports of goods and services (current US$)", - "World/Asia/IND/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/IRQ/Exports/Exports of goods and services (current US$)", - "World/North Africa/ISR/Exports/Exports of goods and services (current US$)", - "World/Asia/KOR/Exports/Exports of goods and services (current US$)", - "World/North Africa/MAR/Exports/Exports of goods and services (current US$)", - "World/Latam/MEX/Exports/Exports of goods and services (current US$)", - "World/South Africa/MOZ/Exports/Exports of goods and services (current US$)", - "World/Europe/NLD/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/OMN/Exports/Exports of goods and services (current US$)", - "World/Latam/PAN/Exports/Exports of goods and services (current US$)", - "World/Latam/PER/Exports/Exports of goods and services (current US$)", - "World/Asia/PHL/Exports/Exports of goods and services (current US$)", - "World/Europe/POL/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/QAT/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/SAU/Exports/Exports of goods and services (current US$)", - "World/South Africa/SEN/Exports/Exports of goods and services (current US$)", - "World/Europe/SWE/Exports/Exports of goods and services (current US$)", - "World/Asia/THA/Exports/Exports of goods and services (current US$)", - "World/North Africa/TUR/Exports/Exports of goods and services (current US$)", - "World/Pair/USA/Exports/Exports of goods and services (current US$)", - "World/Latam/VEN/Exports/Exports of goods and services (current US$)", - "World/Asia/VNM/Exports/Exports of goods and services (current US$)", - "World/South Africa/ZAF/Exports/Exports of goods and services (current US$)", - "World/Persian Gulf/ARE/Economy/Final consumption expenditure (current US$)", - "World/Latam/ARG/Economy/Final consumption expenditure (current US$)", - "World/Europe/AUT/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/Final consumption expenditure (current US$)", - "World/Asia/BGD/Economy/Final consumption expenditure (current US$)", - "World/Latam/BRA/Economy/Final consumption expenditure (current US$)", - "World/Latam/CHL/Economy/Final consumption expenditure (current US$)", - "World/Pair/CHN/Economy/Final consumption expenditure (current US$)", - "World/South Africa/CMR/Economy/Final consumption expenditure (current US$)", - "World/Latam/COL/Economy/Final consumption expenditure (current US$)", - "World/Latam/CRI/Economy/Final consumption expenditure (current US$)", - "World/Europe/DEU/Economy/Final consumption expenditure (current US$)", - "World/North Africa/DZA/Economy/Final consumption expenditure (current US$)", - "World/North Africa/EGY/Economy/Final consumption expenditure (current US$)", - "World/Europe/ESP/Economy/Final consumption expenditure (current US$)", - "World/Europe/FRA/Economy/Final consumption expenditure (current US$)", - "World/Europe/GBR/Economy/Final consumption expenditure (current US$)", - "World/South Africa/GHA/Economy/Final consumption expenditure (current US$)", - "World/Europe/GRC/Economy/Final consumption expenditure (current US$)", - "World/Europe/HRV/Economy/Final consumption expenditure (current US$)", - "World/Asia/IDN/Economy/Final consumption expenditure (current US$)", - "World/Asia/IND/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/IRQ/Economy/Final consumption expenditure (current US$)", - "World/North Africa/ISR/Economy/Final consumption expenditure (current US$)", - "World/Asia/KOR/Economy/Final consumption expenditure (current US$)", - "World/North Africa/MAR/Economy/Final consumption expenditure (current US$)", - "World/Latam/MEX/Economy/Final consumption expenditure (current US$)", - "World/South Africa/MOZ/Economy/Final consumption expenditure (current US$)", - "World/South Africa/NGA/Economy/Final consumption expenditure (current US$)", - "World/Europe/NLD/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/OMN/Economy/Final consumption expenditure (current US$)", - "World/Latam/PAN/Economy/Final consumption expenditure (current US$)", - "World/Latam/PER/Economy/Final consumption expenditure (current US$)", - "World/Asia/PHL/Economy/Final consumption expenditure (current US$)", - "World/Europe/POL/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/QAT/Economy/Final consumption expenditure (current US$)", - "World/Persian Gulf/SAU/Economy/Final consumption expenditure (current US$)", - "World/South Africa/SEN/Economy/Final consumption expenditure (current US$)", - "World/Europe/SWE/Economy/Final consumption expenditure (current US$)", - "World/Asia/THA/Economy/Final consumption expenditure (current US$)", - "World/North Africa/TUR/Economy/Final consumption expenditure (current US$)", - "World/Pair/USA/Economy/Final consumption expenditure (current US$)", - "World/Latam/VEN/Economy/Final consumption expenditure (current US$)", - "World/Asia/VNM/Economy/Final consumption expenditure (current US$)", - "World/South Africa/ZAF/Economy/Final consumption expenditure (current US$)", - "World/Latam/ARG/R&D/Firms offering formal training (% of firms)", - "World/Latam/CHL/R&D/Firms offering formal training (% of firms)", - "World/Latam/COL/R&D/Firms offering formal training (% of firms)", - "World/Latam/CRI/R&D/Firms offering formal training (% of firms)", - "World/North Africa/EGY/R&D/Firms offering formal training (% of firms)", - "World/South Africa/GHA/R&D/Firms offering formal training (% of firms)", - "World/Europe/GRC/R&D/Firms offering formal training (% of firms)", - "World/Europe/HRV/R&D/Firms offering formal training (% of firms)", - "World/Asia/IDN/R&D/Firms offering formal training (% of firms)", - "World/Asia/IND/R&D/Firms offering formal training (% of firms)", - "World/South Africa/LBR/R&D/Firms offering formal training (% of firms)", - "World/North Africa/MAR/R&D/Firms offering formal training (% of firms)", - "World/Latam/MEX/R&D/Firms offering formal training (% of firms)", - "World/South Africa/MOZ/R&D/Firms offering formal training (% of firms)", - "World/South Africa/NGA/R&D/Firms offering formal training (% of firms)", - "World/Latam/PAN/R&D/Firms offering formal training (% of firms)", - "World/Latam/PER/R&D/Firms offering formal training (% of firms)", - "World/Asia/PHL/R&D/Firms offering formal training (% of firms)", - "World/Europe/POL/R&D/Firms offering formal training (% of firms)", - "World/South Africa/SEN/R&D/Firms offering formal training (% of firms)", - "World/Asia/THA/R&D/Firms offering formal training (% of firms)", - "World/North Africa/TUR/R&D/Firms offering formal training (% of firms)", - "World/Latam/VEN/R&D/Firms offering formal training (% of firms)", - "World/Asia/VNM/R&D/Firms offering formal training (% of firms)", - "World/Persian Gulf/YEM/R&D/Firms offering formal training (% of firms)", - "World/South Africa/ZAF/R&D/Firms offering formal training (% of firms)", - "World/Latam/ARG/Economy/Firms using banks to finance investment (% of firms)", - "World/Persian Gulf/AZE/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/BGD/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/CHL/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/CMR/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/COL/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/CRI/Economy/Firms using banks to finance investment (% of firms)", - "World/North Africa/EGY/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/GHA/Economy/Firms using banks to finance investment (% of firms)", - "World/Europe/GRC/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/IDN/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/IND/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/LBR/Economy/Firms using banks to finance investment (% of firms)", - "World/North Africa/MAR/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/MEX/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/MOZ/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/NGA/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/PAN/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/PER/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/PHL/Economy/Firms using banks to finance investment (% of firms)", - "World/Europe/POL/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/SEN/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/THA/Economy/Firms using banks to finance investment (% of firms)", - "World/North Africa/TUR/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/VEN/Economy/Firms using banks to finance investment (% of firms)", - "World/Asia/VNM/Economy/Firms using banks to finance investment (% of firms)", - "World/Persian Gulf/YEM/Economy/Firms using banks to finance investment (% of firms)", - "World/South Africa/ZAF/Economy/Firms using banks to finance investment (% of firms)", - "World/Latam/ARG/Economy/Firms using banks to finance working capital (% of firms)", - "World/Persian Gulf/AZE/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/BGD/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/CHL/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/CMR/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/COL/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/CRI/Economy/Firms using banks to finance working capital (% of firms)", - "World/North Africa/EGY/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/GHA/Economy/Firms using banks to finance working capital (% of firms)", - "World/Europe/GRC/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/IDN/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/LBR/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/MEX/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/MOZ/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/NGA/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/PAN/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/PER/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/PHL/Economy/Firms using banks to finance working capital (% of firms)", - "World/Europe/POL/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/SEN/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/THA/Economy/Firms using banks to finance working capital (% of firms)", - "World/North Africa/TUR/Economy/Firms using banks to finance working capital (% of firms)", - "World/Latam/VEN/Economy/Firms using banks to finance working capital (% of firms)", - "World/Asia/VNM/Economy/Firms using banks to finance working capital (% of firms)", - "World/Persian Gulf/YEM/Economy/Firms using banks to finance working capital (% of firms)", - "World/South Africa/ZAF/Economy/Firms using banks to finance working capital (% of firms)", - "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions", - "World/Latam/ARG/Internet/Fixed broadband subscriptions", - "World/Europe/AUT/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions", - "World/Asia/BGD/Internet/Fixed broadband subscriptions", - "World/Latam/BRA/Internet/Fixed broadband subscriptions", - "World/Latam/CHL/Internet/Fixed broadband subscriptions", - "World/Pair/CHN/Internet/Fixed broadband subscriptions", - "World/South Africa/CMR/Internet/Fixed broadband subscriptions", - "World/Latam/COL/Internet/Fixed broadband subscriptions", - "World/Latam/CRI/Internet/Fixed broadband subscriptions", - "World/Europe/DEU/Internet/Fixed broadband subscriptions", - "World/North Africa/DZA/Internet/Fixed broadband subscriptions", - "World/North Africa/EGY/Internet/Fixed broadband subscriptions", - "World/Europe/ESP/Internet/Fixed broadband subscriptions", - "World/Europe/FRA/Internet/Fixed broadband subscriptions", - "World/Europe/GBR/Internet/Fixed broadband subscriptions", - "World/South Africa/GHA/Internet/Fixed broadband subscriptions", - "World/Europe/GRC/Internet/Fixed broadband subscriptions", - "World/Europe/HRV/Internet/Fixed broadband subscriptions", - "World/Asia/IDN/Internet/Fixed broadband subscriptions", - "World/Asia/IND/Internet/Fixed broadband subscriptions", - "World/North Africa/ISR/Internet/Fixed broadband subscriptions", - "World/Asia/KOR/Internet/Fixed broadband subscriptions", - "World/South Africa/LBR/Internet/Fixed broadband subscriptions", - "World/North Africa/MAR/Internet/Fixed broadband subscriptions", - "World/Latam/MEX/Internet/Fixed broadband subscriptions", - "World/South Africa/MOZ/Internet/Fixed broadband subscriptions", - "World/Europe/NLD/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions", - "World/Latam/PAN/Internet/Fixed broadband subscriptions", - "World/Latam/PER/Internet/Fixed broadband subscriptions", - "World/Asia/PHL/Internet/Fixed broadband subscriptions", - "World/Europe/POL/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions", - "World/South Africa/SEN/Internet/Fixed broadband subscriptions", - "World/Europe/SWE/Internet/Fixed broadband subscriptions", - "World/Asia/THA/Internet/Fixed broadband subscriptions", - "World/North Africa/TUR/Internet/Fixed broadband subscriptions", - "World/Pair/USA/Internet/Fixed broadband subscriptions", - "World/Latam/VEN/Internet/Fixed broadband subscriptions", - "World/Asia/VNM/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions", - "World/South Africa/ZAF/Internet/Fixed broadband subscriptions", - "World/Persian Gulf/ARE/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/ARG/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/AUT/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/AZE/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/BGD/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/BRA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/CHL/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Pair/CHN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/CMR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/COL/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/CRI/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/DEU/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/DZA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/EGY/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/ESP/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/FRA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/GBR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/GHA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/GRC/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/HRV/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/IDN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/IND/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/ISR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/KOR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/LBR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/MAR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/MEX/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/MOZ/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/NLD/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/OMN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/PAN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/PER/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/PHL/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/POL/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/QAT/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/SAU/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/SEN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Europe/SWE/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/THA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/North Africa/TUR/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Pair/USA/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Latam/VEN/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Asia/VNM/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/YEM/Internet/Fixed broadband subscriptions (per 100 people)", - "World/South Africa/ZAF/Internet/Fixed broadband subscriptions (per 100 people)", - "World/Persian Gulf/ARE/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/AZE/Industry/Food production index (2014-2016 = 100)", - "World/Asia/BGD/Industry/Food production index (2014-2016 = 100)", - "World/Latam/BRA/Industry/Food production index (2014-2016 = 100)", - "World/Latam/CHL/Industry/Food production index (2014-2016 = 100)", - "World/Pair/CHN/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/CMR/Industry/Food production index (2014-2016 = 100)", - "World/Latam/COL/Industry/Food production index (2014-2016 = 100)", - "World/Latam/CRI/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/DZA/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/EGY/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/GHA/Industry/Food production index (2014-2016 = 100)", - "World/Asia/IDN/Industry/Food production index (2014-2016 = 100)", - "World/Asia/IND/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/ISR/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/LBR/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/MAR/Industry/Food production index (2014-2016 = 100)", - "World/Latam/MEX/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/MOZ/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/NGA/Industry/Food production index (2014-2016 = 100)", - "World/Europe/NLD/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/OMN/Industry/Food production index (2014-2016 = 100)", - "World/Latam/PAN/Industry/Food production index (2014-2016 = 100)", - "World/Latam/PER/Industry/Food production index (2014-2016 = 100)", - "World/Asia/PHL/Industry/Food production index (2014-2016 = 100)", - "World/Europe/POL/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/QAT/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/SAU/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/SEN/Industry/Food production index (2014-2016 = 100)", - "World/Asia/THA/Industry/Food production index (2014-2016 = 100)", - "World/North Africa/TUR/Industry/Food production index (2014-2016 = 100)", - "World/Pair/USA/Industry/Food production index (2014-2016 = 100)", - "World/Asia/VNM/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/YEM/Industry/Food production index (2014-2016 = 100)", - "World/South Africa/ZAF/Industry/Food production index (2014-2016 = 100)", - "World/Persian Gulf/ARE/Demography/Forest area (% of land area)", - "World/Latam/ARG/Demography/Forest area (% of land area)", - "World/Europe/AUT/Demography/Forest area (% of land area)", - "World/Persian Gulf/AZE/Demography/Forest area (% of land area)", - "World/Asia/BGD/Demography/Forest area (% of land area)", - "World/Latam/BRA/Demography/Forest area (% of land area)", - "World/Latam/CHL/Demography/Forest area (% of land area)", - "World/Pair/CHN/Demography/Forest area (% of land area)", - "World/South Africa/CMR/Demography/Forest area (% of land area)", - "World/Latam/COL/Demography/Forest area (% of land area)", - "World/Latam/CRI/Demography/Forest area (% of land area)", - "World/North Africa/DZA/Demography/Forest area (% of land area)", - "World/North Africa/EGY/Demography/Forest area (% of land area)", - "World/Europe/ESP/Demography/Forest area (% of land area)", - "World/Europe/FRA/Demography/Forest area (% of land area)", - "World/Europe/GBR/Demography/Forest area (% of land area)", - "World/Europe/GRC/Demography/Forest area (% of land area)", - "World/Europe/HRV/Demography/Forest area (% of land area)", - "World/Asia/IDN/Demography/Forest area (% of land area)", - "World/Asia/IND/Demography/Forest area (% of land area)", - "World/Asia/KOR/Demography/Forest area (% of land area)", - "World/South Africa/LBR/Demography/Forest area (% of land area)", - "World/North Africa/MAR/Demography/Forest area (% of land area)", - "World/Latam/MEX/Demography/Forest area (% of land area)", - "World/South Africa/MOZ/Demography/Forest area (% of land area)", - "World/South Africa/NGA/Demography/Forest area (% of land area)", - "World/Europe/NLD/Demography/Forest area (% of land area)", - "World/Latam/PAN/Demography/Forest area (% of land area)", - "World/Latam/PER/Demography/Forest area (% of land area)", - "World/Europe/POL/Demography/Forest area (% of land area)", - "World/South Africa/SEN/Demography/Forest area (% of land area)", - "World/North Africa/TUR/Demography/Forest area (% of land area)", - "World/Pair/USA/Demography/Forest area (% of land area)", - "World/Latam/VEN/Demography/Forest area (% of land area)", - "World/Asia/VNM/Demography/Forest area (% of land area)", - "World/South Africa/ZAF/Demography/Forest area (% of land area)", - "World/Persian Gulf/ARE/Principal/GDP deflator (base year varies by country)", - "World/Europe/AUT/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/AZE/Principal/GDP deflator (base year varies by country)", - "World/Asia/BGD/Principal/GDP deflator (base year varies by country)", - "World/Latam/BRA/Principal/GDP deflator (base year varies by country)", - "World/Latam/CHL/Principal/GDP deflator (base year varies by country)", - "World/Pair/CHN/Principal/GDP deflator (base year varies by country)", - "World/South Africa/CMR/Principal/GDP deflator (base year varies by country)", - "World/Latam/COL/Principal/GDP deflator (base year varies by country)", - "World/Latam/CRI/Principal/GDP deflator (base year varies by country)", - "World/Europe/DEU/Principal/GDP deflator (base year varies by country)", - "World/North Africa/DZA/Principal/GDP deflator (base year varies by country)", - "World/North Africa/EGY/Principal/GDP deflator (base year varies by country)", - "World/Europe/ESP/Principal/GDP deflator (base year varies by country)", - "World/Europe/FRA/Principal/GDP deflator (base year varies by country)", - "World/Europe/GBR/Principal/GDP deflator (base year varies by country)", - "World/South Africa/GHA/Principal/GDP deflator (base year varies by country)", - "World/Europe/GRC/Principal/GDP deflator (base year varies by country)", - "World/Europe/HRV/Principal/GDP deflator (base year varies by country)", - "World/Asia/IDN/Principal/GDP deflator (base year varies by country)", - "World/Asia/IND/Principal/GDP deflator (base year varies by country)", - "World/North Africa/ISR/Principal/GDP deflator (base year varies by country)", - "World/Asia/KOR/Principal/GDP deflator (base year varies by country)", - "World/South Africa/LBR/Principal/GDP deflator (base year varies by country)", - "World/North Africa/MAR/Principal/GDP deflator (base year varies by country)", - "World/Latam/MEX/Principal/GDP deflator (base year varies by country)", - "World/South Africa/MOZ/Principal/GDP deflator (base year varies by country)", - "World/South Africa/NGA/Principal/GDP deflator (base year varies by country)", - "World/Europe/NLD/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/OMN/Principal/GDP deflator (base year varies by country)", - "World/Latam/PAN/Principal/GDP deflator (base year varies by country)", - "World/Latam/PER/Principal/GDP deflator (base year varies by country)", - "World/Asia/PHL/Principal/GDP deflator (base year varies by country)", - "World/Europe/POL/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/QAT/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/SAU/Principal/GDP deflator (base year varies by country)", - "World/South Africa/SEN/Principal/GDP deflator (base year varies by country)", - "World/Asia/THA/Principal/GDP deflator (base year varies by country)", - "World/North Africa/TUR/Principal/GDP deflator (base year varies by country)", - "World/Pair/USA/Principal/GDP deflator (base year varies by country)", - "World/Latam/VEN/Principal/GDP deflator (base year varies by country)", - "World/Asia/VNM/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/YEM/Principal/GDP deflator (base year varies by country)", - "World/South Africa/ZAF/Principal/GDP deflator (base year varies by country)", - "World/Persian Gulf/ARE/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/AUT/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/AZE/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/BGD/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/BRA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/CHL/Principal/GDP deflator: linked series (base year varies by country)", - "World/Pair/CHN/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/CMR/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/COL/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/CRI/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/DEU/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/DZA/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/EGY/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/ESP/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/FRA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/GBR/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/GHA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/GRC/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/HRV/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/IDN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/IND/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/ISR/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/KOR/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/LBR/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/MAR/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/MEX/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/MOZ/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/NGA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/NLD/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/OMN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/PAN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/PER/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/PHL/Principal/GDP deflator: linked series (base year varies by country)", - "World/Europe/POL/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/QAT/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/SAU/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/SEN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/THA/Principal/GDP deflator: linked series (base year varies by country)", - "World/North Africa/TUR/Principal/GDP deflator: linked series (base year varies by country)", - "World/Pair/USA/Principal/GDP deflator: linked series (base year varies by country)", - "World/Latam/VEN/Principal/GDP deflator: linked series (base year varies by country)", - "World/Asia/VNM/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/YEM/Principal/GDP deflator: linked series (base year varies by country)", - "World/South Africa/ZAF/Principal/GDP deflator: linked series (base year varies by country)", - "World/Persian Gulf/ARE/Principal/GDP per capita (current US$)", - "World/Latam/ARG/Principal/GDP per capita (current US$)", - "World/Europe/AUT/Principal/GDP per capita (current US$)", - "World/Persian Gulf/AZE/Principal/GDP per capita (current US$)", - "World/Asia/BGD/Principal/GDP per capita (current US$)", - "World/Latam/BRA/Principal/GDP per capita (current US$)", - "World/Latam/CHL/Principal/GDP per capita (current US$)", - "World/Pair/CHN/Principal/GDP per capita (current US$)", - "World/South Africa/CMR/Principal/GDP per capita (current US$)", - "World/Latam/COL/Principal/GDP per capita (current US$)", - "World/Latam/CRI/Principal/GDP per capita (current US$)", - "World/Europe/DEU/Principal/GDP per capita (current US$)", - "World/North Africa/DZA/Principal/GDP per capita (current US$)", - "World/North Africa/EGY/Principal/GDP per capita (current US$)", - "World/Europe/ESP/Principal/GDP per capita (current US$)", - "World/Europe/FRA/Principal/GDP per capita (current US$)", - "World/Europe/GBR/Principal/GDP per capita (current US$)", - "World/South Africa/GHA/Principal/GDP per capita (current US$)", - "World/Europe/GRC/Principal/GDP per capita (current US$)", - "World/Europe/HRV/Principal/GDP per capita (current US$)", - "World/Asia/IDN/Principal/GDP per capita (current US$)", - "World/Asia/IND/Principal/GDP per capita (current US$)", - "World/Persian Gulf/IRQ/Principal/GDP per capita (current US$)", - "World/North Africa/ISR/Principal/GDP per capita (current US$)", - "World/Asia/KOR/Principal/GDP per capita (current US$)", - "World/North Africa/MAR/Principal/GDP per capita (current US$)", - "World/Latam/MEX/Principal/GDP per capita (current US$)", - "World/South Africa/MOZ/Principal/GDP per capita (current US$)", - "World/South Africa/NGA/Principal/GDP per capita (current US$)", - "World/Europe/NLD/Principal/GDP per capita (current US$)", - "World/Persian Gulf/OMN/Principal/GDP per capita (current US$)", - "World/Latam/PAN/Principal/GDP per capita (current US$)", - "World/Latam/PER/Principal/GDP per capita (current US$)", - "World/Asia/PHL/Principal/GDP per capita (current US$)", - "World/Europe/POL/Principal/GDP per capita (current US$)", - "World/Persian Gulf/QAT/Principal/GDP per capita (current US$)", - "World/Persian Gulf/SAU/Principal/GDP per capita (current US$)", - "World/South Africa/SEN/Principal/GDP per capita (current US$)", - "World/Europe/SWE/Principal/GDP per capita (current US$)", - "World/Asia/THA/Principal/GDP per capita (current US$)", - "World/North Africa/TUR/Principal/GDP per capita (current US$)", - "World/Pair/USA/Principal/GDP per capita (current US$)", - "World/Latam/VEN/Principal/GDP per capita (current US$)", - "World/Asia/VNM/Principal/GDP per capita (current US$)", - "World/Persian Gulf/YEM/Principal/GDP per capita (current US$)", - "World/South Africa/ZAF/Principal/GDP per capita (current US$)", - "World/Persian Gulf/ARE/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/ARG/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Persian Gulf/AZE/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/BGD/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/BRA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/CHL/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Pair/CHN/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/CMR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/COL/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/CRI/Principal/GDP per person employed (constant 2017 PPP $)", - "World/North Africa/EGY/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Europe/FRA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Europe/GBR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/GHA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Europe/GRC/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/IDN/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/IND/Principal/GDP per person employed (constant 2017 PPP $)", - "World/North Africa/ISR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/KOR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/North Africa/MAR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/MOZ/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/NGA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Persian Gulf/OMN/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/PAN/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/PER/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/PHL/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Europe/POL/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Persian Gulf/QAT/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Persian Gulf/SAU/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/SEN/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/THA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/North Africa/TUR/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Pair/USA/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Asia/VNM/Principal/GDP per person employed (constant 2017 PPP $)", - "World/South Africa/ZAF/Principal/GDP per person employed (constant 2017 PPP $)", - "World/Latam/ARG/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/AUT/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Persian Gulf/AZE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/BGD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/BRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/CHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Pair/CHN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/CMR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/COL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/CRI/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/DEU/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/North Africa/EGY/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/ESP/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/FRA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/GBR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/GHA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/HRV/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/IDN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/IND/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/North Africa/ISR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/KOR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/North Africa/MAR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/MEX/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/MOZ/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/NGA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/NLD/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Latam/PAN/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/PHL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/POL/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/SWE/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/THA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/North Africa/TUR/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Pair/USA/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Asia/VNM/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/South Africa/ZAF/Principal/GDP per unit of energy use (PPP $ per kg of oil equivalent)", - "World/Europe/AUT/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Persian Gulf/AZE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/BGD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Pair/CHN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/CMR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Latam/COL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Latam/CRI/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/DEU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/North Africa/DZA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/ESP/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/FRA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/GBR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/GHA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/HRV/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/IDN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/IND/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/North Africa/ISR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/KOR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Latam/MEX/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/MOZ/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/NGA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/NLD/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Latam/PAN/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Asia/PHL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/POL/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Persian Gulf/SAU/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Europe/SWE/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/North Africa/TUR/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Pair/USA/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/South Africa/ZAF/principal/GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", - "World/Persian Gulf/ARE/Economy/GNI (current US$)", - "World/Latam/ARG/Economy/GNI (current US$)", - "World/Europe/AUT/Economy/GNI (current US$)", - "World/Persian Gulf/AZE/Economy/GNI (current US$)", - "World/Asia/BGD/Economy/GNI (current US$)", - "World/Latam/BRA/Economy/GNI (current US$)", - "World/Latam/CHL/Economy/GNI (current US$)", - "World/Pair/CHN/Economy/GNI (current US$)", - "World/South Africa/CMR/Economy/GNI (current US$)", - "World/Latam/COL/Economy/GNI (current US$)", - "World/Latam/CRI/Economy/GNI (current US$)", - "World/Europe/DEU/Economy/GNI (current US$)", - "World/North Africa/DZA/Economy/GNI (current US$)", - "World/North Africa/EGY/Economy/GNI (current US$)", - "World/Europe/ESP/Economy/GNI (current US$)", - "World/Europe/FRA/Economy/GNI (current US$)", - "World/Europe/GBR/Economy/GNI (current US$)", - "World/South Africa/GHA/Economy/GNI (current US$)", - "World/Europe/HRV/Economy/GNI (current US$)", - "World/Asia/IDN/Economy/GNI (current US$)", - "World/Asia/IND/Economy/GNI (current US$)", - "World/Persian Gulf/IRQ/Economy/GNI (current US$)", - "World/North Africa/ISR/Economy/GNI (current US$)", - "World/Asia/KOR/Economy/GNI (current US$)", - "World/South Africa/LBR/Economy/GNI (current US$)", - "World/North Africa/MAR/Economy/GNI (current US$)", - "World/Latam/MEX/Economy/GNI (current US$)", - "World/South Africa/MOZ/Economy/GNI (current US$)", - "World/South Africa/NGA/Economy/GNI (current US$)", - "World/Europe/NLD/Economy/GNI (current US$)", - "World/Persian Gulf/OMN/Economy/GNI (current US$)", - "World/Latam/PAN/Economy/GNI (current US$)", - "World/Latam/PER/Economy/GNI (current US$)", - "World/Asia/PHL/Economy/GNI (current US$)", - "World/Europe/POL/Economy/GNI (current US$)", - "World/Persian Gulf/QAT/Economy/GNI (current US$)", - "World/Persian Gulf/SAU/Economy/GNI (current US$)", - "World/South Africa/SEN/Economy/GNI (current US$)", - "World/Europe/SWE/Economy/GNI (current US$)", - "World/Asia/THA/Economy/GNI (current US$)", - "World/North Africa/TUR/Economy/GNI (current US$)", - "World/Pair/USA/Economy/GNI (current US$)", - "World/Latam/VEN/Economy/GNI (current US$)", - "World/Asia/VNM/Economy/GNI (current US$)", - "World/Persian Gulf/YEM/Economy/GNI (current US$)", - "World/South Africa/ZAF/Economy/GNI (current US$)", - "World/Persian Gulf/ARE/Economy/General government final consumption expenditure (current US$)", - "World/Latam/ARG/Economy/General government final consumption expenditure (current US$)", - "World/Europe/AUT/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/General government final consumption expenditure (current US$)", - "World/Asia/BGD/Economy/General government final consumption expenditure (current US$)", - "World/Latam/BRA/Economy/General government final consumption expenditure (current US$)", - "World/Latam/CHL/Economy/General government final consumption expenditure (current US$)", - "World/Pair/CHN/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/CMR/Economy/General government final consumption expenditure (current US$)", - "World/Latam/COL/Economy/General government final consumption expenditure (current US$)", - "World/Latam/CRI/Economy/General government final consumption expenditure (current US$)", - "World/Europe/DEU/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/DZA/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/EGY/Economy/General government final consumption expenditure (current US$)", - "World/Europe/ESP/Economy/General government final consumption expenditure (current US$)", - "World/Europe/FRA/Economy/General government final consumption expenditure (current US$)", - "World/Europe/GBR/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/GHA/Economy/General government final consumption expenditure (current US$)", - "World/Europe/GRC/Economy/General government final consumption expenditure (current US$)", - "World/Europe/HRV/Economy/General government final consumption expenditure (current US$)", - "World/Asia/IDN/Economy/General government final consumption expenditure (current US$)", - "World/Asia/IND/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/IRQ/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/ISR/Economy/General government final consumption expenditure (current US$)", - "World/Asia/KOR/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/MAR/Economy/General government final consumption expenditure (current US$)", - "World/Latam/MEX/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/MOZ/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/NGA/Economy/General government final consumption expenditure (current US$)", - "World/Europe/NLD/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/OMN/Economy/General government final consumption expenditure (current US$)", - "World/Latam/PAN/Economy/General government final consumption expenditure (current US$)", - "World/Latam/PER/Economy/General government final consumption expenditure (current US$)", - "World/Asia/PHL/Economy/General government final consumption expenditure (current US$)", - "World/Europe/POL/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/QAT/Economy/General government final consumption expenditure (current US$)", - "World/Persian Gulf/SAU/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/SEN/Economy/General government final consumption expenditure (current US$)", - "World/Europe/SWE/Economy/General government final consumption expenditure (current US$)", - "World/Asia/THA/Economy/General government final consumption expenditure (current US$)", - "World/North Africa/TUR/Economy/General government final consumption expenditure (current US$)", - "World/Pair/USA/Economy/General government final consumption expenditure (current US$)", - "World/Latam/VEN/Economy/General government final consumption expenditure (current US$)", - "World/Asia/VNM/Economy/General government final consumption expenditure (current US$)", - "World/South Africa/ZAF/Economy/General government final consumption expenditure (current US$)", - "World/Europe/AUT/Exports/Goods exports (BoP, current US$)", - "World/Persian Gulf/AZE/Exports/Goods exports (BoP, current US$)", - "World/Asia/BGD/Exports/Goods exports (BoP, current US$)", - "World/Latam/BRA/Exports/Goods exports (BoP, current US$)", - "World/Latam/CHL/Exports/Goods exports (BoP, current US$)", - "World/Pair/CHN/Exports/Goods exports (BoP, current US$)", - "World/Latam/COL/Exports/Goods exports (BoP, current US$)", - "World/Latam/CRI/Exports/Goods exports (BoP, current US$)", - "World/Europe/DEU/Exports/Goods exports (BoP, current US$)", - "World/Europe/ESP/Exports/Goods exports (BoP, current US$)", - "World/Europe/FRA/Exports/Goods exports (BoP, current US$)", - "World/Europe/GBR/Exports/Goods exports (BoP, current US$)", - "World/South Africa/GHA/Exports/Goods exports (BoP, current US$)", - "World/Asia/IDN/Exports/Goods exports (BoP, current US$)", - "World/Asia/IND/Exports/Goods exports (BoP, current US$)", - "World/Persian Gulf/IRQ/Exports/Goods exports (BoP, current US$)", - "World/North Africa/ISR/Exports/Goods exports (BoP, current US$)", - "World/Asia/KOR/Exports/Goods exports (BoP, current US$)", - "World/South Africa/LBR/Exports/Goods exports (BoP, current US$)", - "World/North Africa/MAR/Exports/Goods exports (BoP, current US$)", - "World/Latam/MEX/Exports/Goods exports (BoP, current US$)", - "World/South Africa/MOZ/Exports/Goods exports (BoP, current US$)", - "World/Europe/NLD/Exports/Goods exports (BoP, current US$)", - "World/Persian Gulf/OMN/Exports/Goods exports (BoP, current US$)", - "World/Latam/PER/Exports/Goods exports (BoP, current US$)", - "World/Asia/PHL/Exports/Goods exports (BoP, current US$)", - "World/Europe/POL/Exports/Goods exports (BoP, current US$)", - "World/Persian Gulf/SAU/Exports/Goods exports (BoP, current US$)", - "World/South Africa/SEN/Exports/Goods exports (BoP, current US$)", - "World/Europe/SWE/Exports/Goods exports (BoP, current US$)", - "World/Asia/THA/Exports/Goods exports (BoP, current US$)", - "World/North Africa/TUR/Exports/Goods exports (BoP, current US$)", - "World/Pair/USA/Exports/Goods exports (BoP, current US$)", - "World/Latam/VEN/Exports/Goods exports (BoP, current US$)", - "World/Asia/VNM/Exports/Goods exports (BoP, current US$)", - "World/South Africa/ZAF/Exports/Goods exports (BoP, current US$)", - "World/Latam/ARG/Imports/Goods imports (BoP, current US$)", - "World/Europe/AUT/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/AZE/Imports/Goods imports (BoP, current US$)", - "World/Asia/BGD/Imports/Goods imports (BoP, current US$)", - "World/Latam/BRA/Imports/Goods imports (BoP, current US$)", - "World/Latam/CHL/Imports/Goods imports (BoP, current US$)", - "World/Pair/CHN/Imports/Goods imports (BoP, current US$)", - "World/Latam/COL/Imports/Goods imports (BoP, current US$)", - "World/Latam/CRI/Imports/Goods imports (BoP, current US$)", - "World/Europe/DEU/Imports/Goods imports (BoP, current US$)", - "World/North Africa/DZA/Imports/Goods imports (BoP, current US$)", - "World/North Africa/EGY/Imports/Goods imports (BoP, current US$)", - "World/Europe/ESP/Imports/Goods imports (BoP, current US$)", - "World/Europe/FRA/Imports/Goods imports (BoP, current US$)", - "World/Europe/GBR/Imports/Goods imports (BoP, current US$)", - "World/South Africa/GHA/Imports/Goods imports (BoP, current US$)", - "World/Europe/GRC/Imports/Goods imports (BoP, current US$)", - "World/Europe/HRV/Imports/Goods imports (BoP, current US$)", - "World/Asia/IDN/Imports/Goods imports (BoP, current US$)", - "World/Asia/IND/Imports/Goods imports (BoP, current US$)", - "World/North Africa/ISR/Imports/Goods imports (BoP, current US$)", - "World/Asia/KOR/Imports/Goods imports (BoP, current US$)", - "World/South Africa/LBR/Imports/Goods imports (BoP, current US$)", - "World/North Africa/MAR/Imports/Goods imports (BoP, current US$)", - "World/Latam/MEX/Imports/Goods imports (BoP, current US$)", - "World/South Africa/MOZ/Imports/Goods imports (BoP, current US$)", - "World/South Africa/NGA/Imports/Goods imports (BoP, current US$)", - "World/Europe/NLD/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/OMN/Imports/Goods imports (BoP, current US$)", - "World/Latam/PER/Imports/Goods imports (BoP, current US$)", - "World/Asia/PHL/Imports/Goods imports (BoP, current US$)", - "World/Europe/POL/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/SAU/Imports/Goods imports (BoP, current US$)", - "World/South Africa/SEN/Imports/Goods imports (BoP, current US$)", - "World/Europe/SWE/Imports/Goods imports (BoP, current US$)", - "World/Asia/THA/Imports/Goods imports (BoP, current US$)", - "World/North Africa/TUR/Imports/Goods imports (BoP, current US$)", - "World/Pair/USA/Imports/Goods imports (BoP, current US$)", - "World/Asia/VNM/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/YEM/Imports/Goods imports (BoP, current US$)", - "World/South Africa/ZAF/Imports/Goods imports (BoP, current US$)", - "World/Persian Gulf/ARE/Economy/Gross capital formation (current US$)", - "World/Latam/ARG/Economy/Gross capital formation (current US$)", - "World/Europe/AUT/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/AZE/Economy/Gross capital formation (current US$)", - "World/Asia/BGD/Economy/Gross capital formation (current US$)", - "World/Latam/BRA/Economy/Gross capital formation (current US$)", - "World/Latam/CHL/Economy/Gross capital formation (current US$)", - "World/Pair/CHN/Economy/Gross capital formation (current US$)", - "World/South Africa/CMR/Economy/Gross capital formation (current US$)", - "World/Latam/COL/Economy/Gross capital formation (current US$)", - "World/Latam/CRI/Economy/Gross capital formation (current US$)", - "World/Europe/DEU/Economy/Gross capital formation (current US$)", - "World/North Africa/DZA/Economy/Gross capital formation (current US$)", - "World/North Africa/EGY/Economy/Gross capital formation (current US$)", - "World/Europe/ESP/Economy/Gross capital formation (current US$)", - "World/Europe/FRA/Economy/Gross capital formation (current US$)", - "World/Europe/GBR/Economy/Gross capital formation (current US$)", - "World/South Africa/GHA/Economy/Gross capital formation (current US$)", - "World/Europe/HRV/Economy/Gross capital formation (current US$)", - "World/Asia/IDN/Economy/Gross capital formation (current US$)", - "World/Asia/IND/Economy/Gross capital formation (current US$)", - "World/North Africa/ISR/Economy/Gross capital formation (current US$)", - "World/Asia/KOR/Economy/Gross capital formation (current US$)", - "World/North Africa/MAR/Economy/Gross capital formation (current US$)", - "World/Latam/MEX/Economy/Gross capital formation (current US$)", - "World/South Africa/MOZ/Economy/Gross capital formation (current US$)", - "World/South Africa/NGA/Economy/Gross capital formation (current US$)", - "World/Europe/NLD/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/OMN/Economy/Gross capital formation (current US$)", - "World/Latam/PAN/Economy/Gross capital formation (current US$)", - "World/Latam/PER/Economy/Gross capital formation (current US$)", - "World/Asia/PHL/Economy/Gross capital formation (current US$)", - "World/Europe/POL/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/QAT/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/SAU/Economy/Gross capital formation (current US$)", - "World/South Africa/SEN/Economy/Gross capital formation (current US$)", - "World/Europe/SWE/Economy/Gross capital formation (current US$)", - "World/Asia/THA/Economy/Gross capital formation (current US$)", - "World/North Africa/TUR/Economy/Gross capital formation (current US$)", - "World/Pair/USA/Economy/Gross capital formation (current US$)", - "World/Latam/VEN/Economy/Gross capital formation (current US$)", - "World/Asia/VNM/Economy/Gross capital formation (current US$)", - "World/South Africa/ZAF/Economy/Gross capital formation (current US$)", - "World/Persian Gulf/ARE/Economy/Gross domestic savings (current US$)", - "World/Latam/ARG/Economy/Gross domestic savings (current US$)", - "World/Europe/AUT/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/AZE/Economy/Gross domestic savings (current US$)", - "World/Asia/BGD/Economy/Gross domestic savings (current US$)", - "World/Latam/BRA/Economy/Gross domestic savings (current US$)", - "World/Latam/CHL/Economy/Gross domestic savings (current US$)", - "World/Pair/CHN/Economy/Gross domestic savings (current US$)", - "World/South Africa/CMR/Economy/Gross domestic savings (current US$)", - "World/Latam/COL/Economy/Gross domestic savings (current US$)", - "World/Latam/CRI/Economy/Gross domestic savings (current US$)", - "World/Europe/DEU/Economy/Gross domestic savings (current US$)", - "World/North Africa/DZA/Economy/Gross domestic savings (current US$)", - "World/Europe/ESP/Economy/Gross domestic savings (current US$)", - "World/Europe/FRA/Economy/Gross domestic savings (current US$)", - "World/Europe/GBR/Economy/Gross domestic savings (current US$)", - "World/Europe/HRV/Economy/Gross domestic savings (current US$)", - "World/Asia/IDN/Economy/Gross domestic savings (current US$)", - "World/Asia/IND/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/IRQ/Economy/Gross domestic savings (current US$)", - "World/North Africa/ISR/Economy/Gross domestic savings (current US$)", - "World/Asia/KOR/Economy/Gross domestic savings (current US$)", - "World/North Africa/MAR/Economy/Gross domestic savings (current US$)", - "World/Latam/MEX/Economy/Gross domestic savings (current US$)", - "World/South Africa/NGA/Economy/Gross domestic savings (current US$)", - "World/Europe/NLD/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/OMN/Economy/Gross domestic savings (current US$)", - "World/Latam/PAN/Economy/Gross domestic savings (current US$)", - "World/Latam/PER/Economy/Gross domestic savings (current US$)", - "World/Asia/PHL/Economy/Gross domestic savings (current US$)", - "World/Europe/POL/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/QAT/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/SAU/Economy/Gross domestic savings (current US$)", - "World/South Africa/SEN/Economy/Gross domestic savings (current US$)", - "World/Europe/SWE/Economy/Gross domestic savings (current US$)", - "World/Asia/THA/Economy/Gross domestic savings (current US$)", - "World/North Africa/TUR/Economy/Gross domestic savings (current US$)", - "World/Pair/USA/Economy/Gross domestic savings (current US$)", - "World/Asia/VNM/Economy/Gross domestic savings (current US$)", - "World/South Africa/ZAF/Economy/Gross domestic savings (current US$)", - "World/Persian Gulf/ARE/Economy/Gross fixed capital formation (current US$)", - "World/Latam/ARG/Economy/Gross fixed capital formation (current US$)", - "World/Europe/AUT/Economy/Gross fixed capital formation (current US$)", - "World/Persian Gulf/AZE/Economy/Gross fixed capital formation (current US$)", - "World/Asia/BGD/Economy/Gross fixed capital formation (current US$)", - "World/Latam/BRA/Economy/Gross fixed capital formation (current US$)", - "World/Latam/CHL/Economy/Gross fixed capital formation (current US$)", - "World/Pair/CHN/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/CMR/Economy/Gross fixed capital formation (current US$)", - "World/Latam/COL/Economy/Gross fixed capital formation (current US$)", - "World/Latam/CRI/Economy/Gross fixed capital formation (current US$)", - "World/Europe/DEU/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/DZA/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/EGY/Economy/Gross fixed capital formation (current US$)", - "World/Europe/FRA/Economy/Gross fixed capital formation (current US$)", - "World/Europe/GBR/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/GHA/Economy/Gross fixed capital formation (current US$)", - "World/Europe/HRV/Economy/Gross fixed capital formation (current US$)", - "World/Asia/IDN/Economy/Gross fixed capital formation (current US$)", - "World/Asia/IND/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/ISR/Economy/Gross fixed capital formation (current US$)", - "World/Asia/KOR/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/MAR/Economy/Gross fixed capital formation (current US$)", - "World/Latam/MEX/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/MOZ/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/NGA/Economy/Gross fixed capital formation (current US$)", - "World/Europe/NLD/Economy/Gross fixed capital formation (current US$)", - "World/Persian Gulf/OMN/Economy/Gross fixed capital formation (current US$)", - "World/Latam/PAN/Economy/Gross fixed capital formation (current US$)", - "World/Latam/PER/Economy/Gross fixed capital formation (current US$)", - "World/Asia/PHL/Economy/Gross fixed capital formation (current US$)", - "World/Europe/POL/Economy/Gross fixed capital formation (current US$)", - "World/Persian Gulf/SAU/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/SEN/Economy/Gross fixed capital formation (current US$)", - "World/Europe/SWE/Economy/Gross fixed capital formation (current US$)", - "World/Asia/THA/Economy/Gross fixed capital formation (current US$)", - "World/North Africa/TUR/Economy/Gross fixed capital formation (current US$)", - "World/Pair/USA/Economy/Gross fixed capital formation (current US$)", - "World/Latam/VEN/Economy/Gross fixed capital formation (current US$)", - "World/Asia/VNM/Economy/Gross fixed capital formation (current US$)", - "World/South Africa/ZAF/Economy/Gross fixed capital formation (current US$)", - "World/Persian Gulf/ARE/Economy/Gross national expenditure (current US$)", - "World/Latam/ARG/Economy/Gross national expenditure (current US$)", - "World/Europe/AUT/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/Gross national expenditure (current US$)", - "World/Asia/BGD/Economy/Gross national expenditure (current US$)", - "World/Latam/BRA/Economy/Gross national expenditure (current US$)", - "World/Latam/CHL/Economy/Gross national expenditure (current US$)", - "World/Pair/CHN/Economy/Gross national expenditure (current US$)", - "World/South Africa/CMR/Economy/Gross national expenditure (current US$)", - "World/Latam/COL/Economy/Gross national expenditure (current US$)", - "World/Latam/CRI/Economy/Gross national expenditure (current US$)", - "World/Europe/DEU/Economy/Gross national expenditure (current US$)", - "World/North Africa/DZA/Economy/Gross national expenditure (current US$)", - "World/North Africa/EGY/Economy/Gross national expenditure (current US$)", - "World/Europe/ESP/Economy/Gross national expenditure (current US$)", - "World/Europe/FRA/Economy/Gross national expenditure (current US$)", - "World/Europe/GBR/Economy/Gross national expenditure (current US$)", - "World/South Africa/GHA/Economy/Gross national expenditure (current US$)", - "World/Europe/GRC/Economy/Gross national expenditure (current US$)", - "World/Europe/HRV/Economy/Gross national expenditure (current US$)", - "World/Asia/IDN/Economy/Gross national expenditure (current US$)", - "World/Asia/IND/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/IRQ/Economy/Gross national expenditure (current US$)", - "World/North Africa/ISR/Economy/Gross national expenditure (current US$)", - "World/Asia/KOR/Economy/Gross national expenditure (current US$)", - "World/North Africa/MAR/Economy/Gross national expenditure (current US$)", - "World/Latam/MEX/Economy/Gross national expenditure (current US$)", - "World/South Africa/MOZ/Economy/Gross national expenditure (current US$)", - "World/South Africa/NGA/Economy/Gross national expenditure (current US$)", - "World/Europe/NLD/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/OMN/Economy/Gross national expenditure (current US$)", - "World/Latam/PAN/Economy/Gross national expenditure (current US$)", - "World/Latam/PER/Economy/Gross national expenditure (current US$)", - "World/Asia/PHL/Economy/Gross national expenditure (current US$)", - "World/Europe/POL/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/QAT/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/SAU/Economy/Gross national expenditure (current US$)", - "World/South Africa/SEN/Economy/Gross national expenditure (current US$)", - "World/Europe/SWE/Economy/Gross national expenditure (current US$)", - "World/Asia/THA/Economy/Gross national expenditure (current US$)", - "World/North Africa/TUR/Economy/Gross national expenditure (current US$)", - "World/Pair/USA/Economy/Gross national expenditure (current US$)", - "World/Latam/VEN/Economy/Gross national expenditure (current US$)", - "World/Asia/VNM/Economy/Gross national expenditure (current US$)", - "World/South Africa/ZAF/Economy/Gross national expenditure (current US$)", - "World/Persian Gulf/ARE/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/AUT/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Persian Gulf/AZE/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/BGD/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/BRA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/CHL/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Pair/CHN/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/CMR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/COL/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/CRI/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/DEU/Economy/Gross national expenditure deflator (base year varies by country)", - "World/North Africa/DZA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/North Africa/EGY/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/ESP/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/FRA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/GBR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/GHA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/GRC/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/IND/Economy/Gross national expenditure deflator (base year varies by country)", - "World/North Africa/ISR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/KOR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/North Africa/MAR/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/MEX/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/MOZ/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/NGA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/NLD/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Persian Gulf/OMN/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/PAN/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/PER/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/PHL/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Europe/POL/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Persian Gulf/SAU/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Pair/USA/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/VEN/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Asia/VNM/Economy/Gross national expenditure deflator (base year varies by country)", - "World/South Africa/ZAF/Economy/Gross national expenditure deflator (base year varies by country)", - "World/Latam/ARG/Economy/Gross savings (current US$)", - "World/Europe/AUT/Economy/Gross savings (current US$)", - "World/Persian Gulf/AZE/Economy/Gross savings (current US$)", - "World/Asia/BGD/Economy/Gross savings (current US$)", - "World/Latam/BRA/Economy/Gross savings (current US$)", - "World/Latam/CHL/Economy/Gross savings (current US$)", - "World/Pair/CHN/Economy/Gross savings (current US$)", - "World/South Africa/CMR/Economy/Gross savings (current US$)", - "World/Latam/COL/Economy/Gross savings (current US$)", - "World/Latam/CRI/Economy/Gross savings (current US$)", - "World/Europe/DEU/Economy/Gross savings (current US$)", - "World/North Africa/EGY/Economy/Gross savings (current US$)", - "World/Europe/ESP/Economy/Gross savings (current US$)", - "World/Europe/FRA/Economy/Gross savings (current US$)", - "World/Europe/GBR/Economy/Gross savings (current US$)", - "World/South Africa/GHA/Economy/Gross savings (current US$)", - "World/Europe/HRV/Economy/Gross savings (current US$)", - "World/Asia/IDN/Economy/Gross savings (current US$)", - "World/Asia/IND/Economy/Gross savings (current US$)", - "World/North Africa/ISR/Economy/Gross savings (current US$)", - "World/Asia/KOR/Economy/Gross savings (current US$)", - "World/North Africa/MAR/Economy/Gross savings (current US$)", - "World/Latam/MEX/Economy/Gross savings (current US$)", - "World/South Africa/MOZ/Economy/Gross savings (current US$)", - "World/South Africa/NGA/Economy/Gross savings (current US$)", - "World/Europe/NLD/Economy/Gross savings (current US$)", - "World/Latam/PAN/Economy/Gross savings (current US$)", - "World/Latam/PER/Economy/Gross savings (current US$)", - "World/Asia/PHL/Economy/Gross savings (current US$)", - "World/Europe/POL/Economy/Gross savings (current US$)", - "World/Persian Gulf/SAU/Economy/Gross savings (current US$)", - "World/South Africa/SEN/Economy/Gross savings (current US$)", - "World/Europe/SWE/Economy/Gross savings (current US$)", - "World/Asia/THA/Economy/Gross savings (current US$)", - "World/North Africa/TUR/Economy/Gross savings (current US$)", - "World/Pair/USA/Economy/Gross savings (current US$)", - "World/Asia/VNM/Economy/Gross savings (current US$)", - "World/South Africa/ZAF/Economy/Gross savings (current US$)", - "World/Latam/ARG/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/AUT/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/AZE/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/BGD/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/BRA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/CHL/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/CMR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/COL/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/CRI/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/DEU/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/DZA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/EGY/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/ESP/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/FRA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/GBR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/GHA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/GRC/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/HRV/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/IDN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/IND/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/IRQ/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/ISR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/KOR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/MAR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/MEX/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/MOZ/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/NGA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/NLD/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/OMN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/PAN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/PER/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/POL/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/SAU/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/SEN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/SWE/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/North Africa/TUR/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Pair/USA/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Latam/VEN/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Asia/VNM/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Persian Gulf/YEM/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/South Africa/ZAF/Economy/Gross value added at basic prices (GVA) (current US$)", - "World/Europe/AUT/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Pair/CHN/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/DEU/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/ESP/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/FRA/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/GBR/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Asia/IND/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/North Africa/ISR/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/MEX/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/POL/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/SAU/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Europe/SWE/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Pair/USA/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Latam/VEN/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/South Africa/ZAF/Environment/HFC gas emissions (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/ARE/Health/Hospital beds (per 1,000 people)", - "World/Latam/ARG/Health/Hospital beds (per 1,000 people)", - "World/Europe/AUT/Health/Hospital beds (per 1,000 people)", - "World/Persian Gulf/AZE/Health/Hospital beds (per 1,000 people)", - "World/Asia/BGD/Health/Hospital beds (per 1,000 people)", - "World/Latam/BRA/Health/Hospital beds (per 1,000 people)", - "World/Latam/CHL/Health/Hospital beds (per 1,000 people)", - "World/Pair/CHN/Health/Hospital beds (per 1,000 people)", - "World/South Africa/CMR/Health/Hospital beds (per 1,000 people)", - "World/Latam/COL/Health/Hospital beds (per 1,000 people)", - "World/Latam/CRI/Health/Hospital beds (per 1,000 people)", - "World/Europe/DEU/Health/Hospital beds (per 1,000 people)", - "World/North Africa/EGY/Health/Hospital beds (per 1,000 people)", - "World/Europe/ESP/Health/Hospital beds (per 1,000 people)", - "World/Europe/FRA/Health/Hospital beds (per 1,000 people)", - "World/Europe/GBR/Health/Hospital beds (per 1,000 people)", - "World/North Africa/ISR/Health/Hospital beds (per 1,000 people)", - "World/Asia/KOR/Health/Hospital beds (per 1,000 people)", - "World/South Africa/LBR/Health/Hospital beds (per 1,000 people)", - "World/Latam/MEX/Health/Hospital beds (per 1,000 people)", - "World/South Africa/MOZ/Health/Hospital beds (per 1,000 people)", - "World/South Africa/NGA/Health/Hospital beds (per 1,000 people)", - "World/Europe/NLD/Health/Hospital beds (per 1,000 people)", - "World/Persian Gulf/OMN/Health/Hospital beds (per 1,000 people)", - "World/Persian Gulf/SAU/Health/Hospital beds (per 1,000 people)", - "World/North Africa/TUR/Health/Hospital beds (per 1,000 people)", - "World/Pair/USA/Health/Hospital beds (per 1,000 people)", - "World/South Africa/ZAF/Health/Hospital beds (per 1,000 people)", - "World/Persian Gulf/ARE/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/ARG/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/AUT/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/AZE/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/BGD/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/BRA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/CHL/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Pair/CHN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/CMR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/COL/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/CRI/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/DEU/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/DZA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/EGY/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/ESP/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/FRA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/GBR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/GHA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/GRC/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/HRV/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/IDN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/IND/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/IRQ/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/ISR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/KOR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/MAR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/MEX/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/MOZ/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/NGA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/NLD/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/OMN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/PAN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/PER/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/PHL/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/POL/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/QAT/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Persian Gulf/SAU/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/SEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/SWE/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/THA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/North Africa/TUR/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Pair/USA/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Latam/VEN/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Asia/VNM/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/South Africa/ZAF/Economy/Households and NPISHs Final consumption expenditure (current US$)", - "World/Europe/AUT/Exports/ICT service exports (BoP, current US$)", - "World/Asia/BGD/Exports/ICT service exports (BoP, current US$)", - "World/Latam/CHL/Exports/ICT service exports (BoP, current US$)", - "World/Pair/CHN/Exports/ICT service exports (BoP, current US$)", - "World/South Africa/CMR/Exports/ICT service exports (BoP, current US$)", - "World/Latam/CRI/Exports/ICT service exports (BoP, current US$)", - "World/Europe/DEU/Exports/ICT service exports (BoP, current US$)", - "World/North Africa/DZA/Exports/ICT service exports (BoP, current US$)", - "World/Europe/ESP/Exports/ICT service exports (BoP, current US$)", - "World/Europe/GBR/Exports/ICT service exports (BoP, current US$)", - "World/Europe/GRC/Exports/ICT service exports (BoP, current US$)", - "World/Europe/HRV/Exports/ICT service exports (BoP, current US$)", - "World/Asia/IND/Exports/ICT service exports (BoP, current US$)", - "World/North Africa/ISR/Exports/ICT service exports (BoP, current US$)", - "World/Asia/KOR/Exports/ICT service exports (BoP, current US$)", - "World/North Africa/MAR/Exports/ICT service exports (BoP, current US$)", - "World/Latam/MEX/Exports/ICT service exports (BoP, current US$)", - "World/South Africa/NGA/Exports/ICT service exports (BoP, current US$)", - "World/Europe/NLD/Exports/ICT service exports (BoP, current US$)", - "World/Persian Gulf/OMN/Exports/ICT service exports (BoP, current US$)", - "World/Latam/PAN/Exports/ICT service exports (BoP, current US$)", - "World/Europe/POL/Exports/ICT service exports (BoP, current US$)", - "World/Persian Gulf/QAT/Exports/ICT service exports (BoP, current US$)", - "World/Persian Gulf/SAU/Exports/ICT service exports (BoP, current US$)", - "World/Europe/SWE/Exports/ICT service exports (BoP, current US$)", - "World/Asia/THA/Exports/ICT service exports (BoP, current US$)", - "World/Pair/USA/Exports/ICT service exports (BoP, current US$)", - "World/South Africa/ZAF/Exports/ICT service exports (BoP, current US$)", - "World/Persian Gulf/ARE/Imports/Import unit value index (2000 = 100)", - "World/Europe/AUT/Imports/Import unit value index (2000 = 100)", - "World/Persian Gulf/AZE/Imports/Import unit value index (2000 = 100)", - "World/Asia/BGD/Imports/Import unit value index (2000 = 100)", - "World/Latam/CRI/Imports/Import unit value index (2000 = 100)", - "World/Europe/DEU/Imports/Import unit value index (2000 = 100)", - "World/North Africa/EGY/Imports/Import unit value index (2000 = 100)", - "World/Europe/ESP/Imports/Import unit value index (2000 = 100)", - "World/Europe/FRA/Imports/Import unit value index (2000 = 100)", - "World/Europe/GRC/Imports/Import unit value index (2000 = 100)", - "World/Europe/HRV/Imports/Import unit value index (2000 = 100)", - "World/Latam/MEX/Imports/Import unit value index (2000 = 100)", - "World/South Africa/MOZ/Imports/Import unit value index (2000 = 100)", - "World/Europe/NLD/Imports/Import unit value index (2000 = 100)", - "World/Latam/PAN/Imports/Import unit value index (2000 = 100)", - "World/Europe/POL/Imports/Import unit value index (2000 = 100)", - "World/Persian Gulf/QAT/Imports/Import unit value index (2000 = 100)", - "World/Europe/SWE/Imports/Import unit value index (2000 = 100)", - "World/Asia/THA/Imports/Import unit value index (2000 = 100)", - "World/Persian Gulf/ARE/Imports/Import value index (2000 = 100)", - "World/Latam/ARG/Imports/Import value index (2000 = 100)", - "World/Europe/AUT/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/AZE/Imports/Import value index (2000 = 100)", - "World/Asia/BGD/Imports/Import value index (2000 = 100)", - "World/Latam/BRA/Imports/Import value index (2000 = 100)", - "World/Latam/CHL/Imports/Import value index (2000 = 100)", - "World/Pair/CHN/Imports/Import value index (2000 = 100)", - "World/Latam/COL/Imports/Import value index (2000 = 100)", - "World/Latam/CRI/Imports/Import value index (2000 = 100)", - "World/Europe/DEU/Imports/Import value index (2000 = 100)", - "World/North Africa/DZA/Imports/Import value index (2000 = 100)", - "World/North Africa/EGY/Imports/Import value index (2000 = 100)", - "World/Europe/ESP/Imports/Import value index (2000 = 100)", - "World/Europe/FRA/Imports/Import value index (2000 = 100)", - "World/Europe/GBR/Imports/Import value index (2000 = 100)", - "World/Europe/GRC/Imports/Import value index (2000 = 100)", - "World/Europe/HRV/Imports/Import value index (2000 = 100)", - "World/Asia/IDN/Imports/Import value index (2000 = 100)", - "World/Asia/IND/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/IRQ/Imports/Import value index (2000 = 100)", - "World/North Africa/ISR/Imports/Import value index (2000 = 100)", - "World/Asia/KOR/Imports/Import value index (2000 = 100)", - "World/North Africa/MAR/Imports/Import value index (2000 = 100)", - "World/Latam/MEX/Imports/Import value index (2000 = 100)", - "World/South Africa/MOZ/Imports/Import value index (2000 = 100)", - "World/South Africa/NGA/Imports/Import value index (2000 = 100)", - "World/Europe/NLD/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/OMN/Imports/Import value index (2000 = 100)", - "World/Latam/PAN/Imports/Import value index (2000 = 100)", - "World/Latam/PER/Imports/Import value index (2000 = 100)", - "World/Asia/PHL/Imports/Import value index (2000 = 100)", - "World/Europe/POL/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/QAT/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/SAU/Imports/Import value index (2000 = 100)", - "World/South Africa/SEN/Imports/Import value index (2000 = 100)", - "World/Europe/SWE/Imports/Import value index (2000 = 100)", - "World/Asia/THA/Imports/Import value index (2000 = 100)", - "World/North Africa/TUR/Imports/Import value index (2000 = 100)", - "World/Pair/USA/Imports/Import value index (2000 = 100)", - "World/Asia/VNM/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/YEM/Imports/Import value index (2000 = 100)", - "World/South Africa/ZAF/Imports/Import value index (2000 = 100)", - "World/Persian Gulf/ARE/Imports/Import volume index (2000 = 100)", - "World/Latam/ARG/Imports/Import volume index (2000 = 100)", - "World/Europe/AUT/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/AZE/Imports/Import volume index (2000 = 100)", - "World/Asia/BGD/Imports/Import volume index (2000 = 100)", - "World/Latam/BRA/Imports/Import volume index (2000 = 100)", - "World/Latam/CHL/Imports/Import volume index (2000 = 100)", - "World/Pair/CHN/Imports/Import volume index (2000 = 100)", - "World/Latam/COL/Imports/Import volume index (2000 = 100)", - "World/Latam/CRI/Imports/Import volume index (2000 = 100)", - "World/Europe/DEU/Imports/Import volume index (2000 = 100)", - "World/North Africa/DZA/Imports/Import volume index (2000 = 100)", - "World/North Africa/EGY/Imports/Import volume index (2000 = 100)", - "World/Europe/GBR/Imports/Import volume index (2000 = 100)", - "World/Asia/IDN/Imports/Import volume index (2000 = 100)", - "World/Asia/IND/Imports/Import volume index (2000 = 100)", - "World/North Africa/ISR/Imports/Import volume index (2000 = 100)", - "World/Asia/KOR/Imports/Import volume index (2000 = 100)", - "World/North Africa/MAR/Imports/Import volume index (2000 = 100)", - "World/Latam/MEX/Imports/Import volume index (2000 = 100)", - "World/South Africa/MOZ/Imports/Import volume index (2000 = 100)", - "World/South Africa/NGA/Imports/Import volume index (2000 = 100)", - "World/Europe/NLD/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/OMN/Imports/Import volume index (2000 = 100)", - "World/Latam/PAN/Imports/Import volume index (2000 = 100)", - "World/Latam/PER/Imports/Import volume index (2000 = 100)", - "World/Asia/PHL/Imports/Import volume index (2000 = 100)", - "World/Europe/POL/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/QAT/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/SAU/Imports/Import volume index (2000 = 100)", - "World/South Africa/SEN/Imports/Import volume index (2000 = 100)", - "World/Asia/THA/Imports/Import volume index (2000 = 100)", - "World/North Africa/TUR/Imports/Import volume index (2000 = 100)", - "World/Pair/USA/Imports/Import volume index (2000 = 100)", - "World/Latam/VEN/Imports/Import volume index (2000 = 100)", - "World/Asia/VNM/Imports/Import volume index (2000 = 100)", - "World/Persian Gulf/YEM/Imports/Import volume index (2000 = 100)", - "World/South Africa/ZAF/Imports/Import volume index (2000 = 100)", - "World/Latam/ARG/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/AUT/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/AZE/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/BGD/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/BRA/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/CHL/Imports/Imports of goods and services (BoP, current US$)", - "World/Pair/CHN/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/CMR/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/COL/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/CRI/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/DEU/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/DZA/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/EGY/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/ESP/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/FRA/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/GBR/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/GHA/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/GRC/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/HRV/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/IDN/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/IND/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/ISR/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/KOR/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/MAR/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/MEX/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/MOZ/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/NGA/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/NLD/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/OMN/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/PAN/Imports/Imports of goods and services (BoP, current US$)", - "World/Latam/PER/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/PHL/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/POL/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/SAU/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/SEN/Imports/Imports of goods and services (BoP, current US$)", - "World/Europe/SWE/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/THA/Imports/Imports of goods and services (BoP, current US$)", - "World/North Africa/TUR/Imports/Imports of goods and services (BoP, current US$)", - "World/Pair/USA/Imports/Imports of goods and services (BoP, current US$)", - "World/Asia/VNM/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/YEM/Imports/Imports of goods and services (BoP, current US$)", - "World/South Africa/ZAF/Imports/Imports of goods and services (BoP, current US$)", - "World/Persian Gulf/ARE/Imports/Imports of goods and services (current US$)", - "World/Latam/ARG/Imports/Imports of goods and services (current US$)", - "World/Europe/AUT/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/AZE/Imports/Imports of goods and services (current US$)", - "World/Asia/BGD/Imports/Imports of goods and services (current US$)", - "World/Latam/BRA/Imports/Imports of goods and services (current US$)", - "World/Latam/CHL/Imports/Imports of goods and services (current US$)", - "World/Pair/CHN/Imports/Imports of goods and services (current US$)", - "World/Latam/COL/Imports/Imports of goods and services (current US$)", - "World/Latam/CRI/Imports/Imports of goods and services (current US$)", - "World/Europe/DEU/Imports/Imports of goods and services (current US$)", - "World/North Africa/DZA/Imports/Imports of goods and services (current US$)", - "World/North Africa/EGY/Imports/Imports of goods and services (current US$)", - "World/Europe/ESP/Imports/Imports of goods and services (current US$)", - "World/Europe/FRA/Imports/Imports of goods and services (current US$)", - "World/Europe/GBR/Imports/Imports of goods and services (current US$)", - "World/South Africa/GHA/Imports/Imports of goods and services (current US$)", - "World/Europe/GRC/Imports/Imports of goods and services (current US$)", - "World/Europe/HRV/Imports/Imports of goods and services (current US$)", - "World/Asia/IDN/Imports/Imports of goods and services (current US$)", - "World/Asia/IND/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/IRQ/Imports/Imports of goods and services (current US$)", - "World/North Africa/ISR/Imports/Imports of goods and services (current US$)", - "World/Asia/KOR/Imports/Imports of goods and services (current US$)", - "World/North Africa/MAR/Imports/Imports of goods and services (current US$)", - "World/Latam/MEX/Imports/Imports of goods and services (current US$)", - "World/South Africa/MOZ/Imports/Imports of goods and services (current US$)", - "World/South Africa/NGA/Imports/Imports of goods and services (current US$)", - "World/Europe/NLD/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/OMN/Imports/Imports of goods and services (current US$)", - "World/Latam/PAN/Imports/Imports of goods and services (current US$)", - "World/Latam/PER/Imports/Imports of goods and services (current US$)", - "World/Asia/PHL/Imports/Imports of goods and services (current US$)", - "World/Europe/POL/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/QAT/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/SAU/Imports/Imports of goods and services (current US$)", - "World/South Africa/SEN/Imports/Imports of goods and services (current US$)", - "World/Europe/SWE/Imports/Imports of goods and services (current US$)", - "World/Asia/THA/Imports/Imports of goods and services (current US$)", - "World/North Africa/TUR/Imports/Imports of goods and services (current US$)", - "World/Pair/USA/Imports/Imports of goods and services (current US$)", - "World/Latam/VEN/Imports/Imports of goods and services (current US$)", - "World/Asia/VNM/Imports/Imports of goods and services (current US$)", - "World/South Africa/ZAF/Imports/Imports of goods and services (current US$)", - "World/Persian Gulf/ARE/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/AUT/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/AZE/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Latam/BRA/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Pair/CHN/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/CMR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Latam/CRI/Health/Incidence of tuberculosis (per 100,000 people)", - "World/North Africa/EGY/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/ESP/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/GBR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/GHA/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/HRV/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Asia/IDN/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Asia/IND/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/IRQ/Health/Incidence of tuberculosis (per 100,000 people)", - "World/North Africa/ISR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/LBR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/MOZ/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/OMN/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Latam/PER/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Europe/POL/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/QAT/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/SAU/Health/Incidence of tuberculosis (per 100,000 people)", - "World/South Africa/SEN/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Asia/THA/Health/Incidence of tuberculosis (per 100,000 people)", - "World/North Africa/TUR/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Pair/USA/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Asia/VNM/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/YEM/Health/Incidence of tuberculosis (per 100,000 people)", - "World/Persian Gulf/ARE/Economy/Industry (including construction), value added (current US$)", - "World/Latam/ARG/Economy/Industry (including construction), value added (current US$)", - "World/Europe/AUT/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/AZE/Economy/Industry (including construction), value added (current US$)", - "World/Asia/BGD/Economy/Industry (including construction), value added (current US$)", - "World/Latam/BRA/Economy/Industry (including construction), value added (current US$)", - "World/Latam/CHL/Economy/Industry (including construction), value added (current US$)", - "World/Pair/CHN/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/CMR/Economy/Industry (including construction), value added (current US$)", - "World/Latam/COL/Economy/Industry (including construction), value added (current US$)", - "World/Latam/CRI/Economy/Industry (including construction), value added (current US$)", - "World/Europe/DEU/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/DZA/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/EGY/Economy/Industry (including construction), value added (current US$)", - "World/Europe/ESP/Economy/Industry (including construction), value added (current US$)", - "World/Europe/FRA/Economy/Industry (including construction), value added (current US$)", - "World/Europe/GBR/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/GHA/Economy/Industry (including construction), value added (current US$)", - "World/Europe/GRC/Economy/Industry (including construction), value added (current US$)", - "World/Europe/HRV/Economy/Industry (including construction), value added (current US$)", - "World/Asia/IDN/Economy/Industry (including construction), value added (current US$)", - "World/Asia/IND/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/IRQ/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/ISR/Economy/Industry (including construction), value added (current US$)", - "World/Asia/KOR/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/LBR/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/MAR/Economy/Industry (including construction), value added (current US$)", - "World/Latam/MEX/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/MOZ/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/NGA/Economy/Industry (including construction), value added (current US$)", - "World/Europe/NLD/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/OMN/Economy/Industry (including construction), value added (current US$)", - "World/Latam/PAN/Economy/Industry (including construction), value added (current US$)", - "World/Latam/PER/Economy/Industry (including construction), value added (current US$)", - "World/Asia/PHL/Economy/Industry (including construction), value added (current US$)", - "World/Europe/POL/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/SAU/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/SEN/Economy/Industry (including construction), value added (current US$)", - "World/Europe/SWE/Economy/Industry (including construction), value added (current US$)", - "World/Asia/THA/Economy/Industry (including construction), value added (current US$)", - "World/North Africa/TUR/Economy/Industry (including construction), value added (current US$)", - "World/Pair/USA/Economy/Industry (including construction), value added (current US$)", - "World/Latam/VEN/Economy/Industry (including construction), value added (current US$)", - "World/Asia/VNM/Economy/Industry (including construction), value added (current US$)", - "World/Persian Gulf/YEM/Economy/Industry (including construction), value added (current US$)", - "World/South Africa/ZAF/Economy/Industry (including construction), value added (current US$)", - "World/Latam/BRA/Mortality/Intentional homicides (per 100,000 people)", - "World/Pair/CHN/Mortality/Intentional homicides (per 100,000 people)", - "World/Latam/COL/Mortality/Intentional homicides (per 100,000 people)", - "World/Latam/CRI/Mortality/Intentional homicides (per 100,000 people)", - "World/North Africa/EGY/Mortality/Intentional homicides (per 100,000 people)", - "World/Europe/ESP/Mortality/Intentional homicides (per 100,000 people)", - "World/Europe/GBR/Mortality/Intentional homicides (per 100,000 people)", - "World/Asia/IDN/Mortality/Intentional homicides (per 100,000 people)", - "World/Asia/IND/Mortality/Intentional homicides (per 100,000 people)", - "World/Persian Gulf/IRQ/Mortality/Intentional homicides (per 100,000 people)", - "World/North Africa/ISR/Mortality/Intentional homicides (per 100,000 people)", - "World/South Africa/MOZ/Mortality/Intentional homicides (per 100,000 people)", - "World/Europe/NLD/Mortality/Intentional homicides (per 100,000 people)", - "World/Latam/PAN/Mortality/Intentional homicides (per 100,000 people)", - "World/Latam/PER/Mortality/Intentional homicides (per 100,000 people)", - "World/Europe/POL/Mortality/Intentional homicides (per 100,000 people)", - "World/Asia/THA/Mortality/Intentional homicides (per 100,000 people)", - "World/Asia/VNM/Mortality/Intentional homicides (per 100,000 people)", - "World/Persian Gulf/YEM/Mortality/Intentional homicides (per 100,000 people)", - "World/South Africa/ZAF/Mortality/Intentional homicides (per 100,000 people)", - "World/Persian Gulf/ARE/Migration/International migrant stock (% of population)", - "World/Europe/AUT/Migration/International migrant stock (% of population)", - "World/Persian Gulf/AZE/Migration/International migrant stock (% of population)", - "World/Latam/CHL/Migration/International migrant stock (% of population)", - "World/Pair/CHN/Migration/International migrant stock (% of population)", - "World/Europe/DEU/Migration/International migrant stock (% of population)", - "World/North Africa/DZA/Migration/International migrant stock (% of population)", - "World/Europe/ESP/Migration/International migrant stock (% of population)", - "World/Europe/FRA/Migration/International migrant stock (% of population)", - "World/Europe/GBR/Migration/International migrant stock (% of population)", - "World/Europe/GRC/Migration/International migrant stock (% of population)", - "World/Europe/HRV/Migration/International migrant stock (% of population)", - "World/Asia/IND/Migration/International migrant stock (% of population)", - "World/North Africa/ISR/Migration/International migrant stock (% of population)", - "World/Asia/KOR/Migration/International migrant stock (% of population)", - "World/North Africa/MAR/Migration/International migrant stock (% of population)", - "World/Latam/MEX/Migration/International migrant stock (% of population)", - "World/South Africa/MOZ/Migration/International migrant stock (% of population)", - "World/South Africa/NGA/Migration/International migrant stock (% of population)", - "World/Europe/NLD/Migration/International migrant stock (% of population)", - "World/Latam/PAN/Migration/International migrant stock (% of population)", - "World/Latam/PER/Migration/International migrant stock (% of population)", - "World/Europe/POL/Migration/International migrant stock (% of population)", - "World/Persian Gulf/SAU/Migration/International migrant stock (% of population)", - "World/South Africa/SEN/Migration/International migrant stock (% of population)", - "World/Europe/SWE/Migration/International migrant stock (% of population)", - "World/Asia/THA/Migration/International migrant stock (% of population)", - "World/North Africa/TUR/Migration/International migrant stock (% of population)", - "World/Pair/USA/Migration/International migrant stock (% of population)", - "World/Asia/VNM/Migration/International migrant stock (% of population)", - "World/Persian Gulf/YEM/Migration/International migrant stock (% of population)", - "World/Persian Gulf/ARE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/AUT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/AZE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/BRA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/CHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Pair/CHN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/COL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/CRI/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/DEU/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/North Africa/DZA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/North Africa/EGY/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/GHA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/GRC/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/IDN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/IND/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/IRQ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/North Africa/ISR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/KOR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/LBR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/MEX/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/MOZ/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/NGA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/NLD/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/OMN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/PAN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/PER/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/PHL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/POL/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/QAT/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Europe/SWE/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/North Africa/TUR/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Pair/USA/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Latam/VEN/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Asia/VNM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/YEM/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/South Africa/ZAF/Health/Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "World/Persian Gulf/ARE/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/ARG/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/AZE/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/BGD/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/CHL/Mortality/Lifetime risk of maternal death (%)", - "World/Pair/CHN/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/CMR/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/COL/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/CRI/Mortality/Lifetime risk of maternal death (%)", - "World/North Africa/EGY/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/ESP/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/GBR/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/GHA/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/GRC/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/HRV/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/IDN/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/IND/Mortality/Lifetime risk of maternal death (%)", - "World/North Africa/ISR/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/KOR/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/LBR/Mortality/Lifetime risk of maternal death (%)", - "World/North Africa/MAR/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/MEX/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/MOZ/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/NGA/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/NLD/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/PAN/Mortality/Lifetime risk of maternal death (%)", - "World/Latam/PER/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/PHL/Mortality/Lifetime risk of maternal death (%)", - "World/Europe/POL/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/QAT/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/SAU/Mortality/Lifetime risk of maternal death (%)", - "World/South Africa/SEN/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/THA/Mortality/Lifetime risk of maternal death (%)", - "World/North Africa/TUR/Mortality/Lifetime risk of maternal death (%)", - "World/Pair/USA/Mortality/Lifetime risk of maternal death (%)", - "World/Asia/VNM/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/YEM/Mortality/Lifetime risk of maternal death (%)", - "World/Persian Gulf/ARE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/ARG/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/AZE/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/BGD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/CHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Pair/CHN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/CMR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/COL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/CRI/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/North Africa/EGY/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/ESP/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/GBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/GHA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/GRC/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/HRV/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/IDN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/IND/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/North Africa/ISR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/KOR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/LBR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/North Africa/MAR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/MEX/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/MOZ/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/NGA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/NLD/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/PAN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/PER/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/PHL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Europe/POL/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/QAT/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/SAU/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/South Africa/SEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/THA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/North Africa/TUR/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Pair/USA/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Latam/VEN/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Asia/VNM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/YEM/Health/Lifetime risk of maternal death (1 in: rate varies by country)", - "World/Persian Gulf/ARE/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/ARG/Industry/Livestock production index (2014-2016 = 100)", - "World/Europe/AUT/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/AZE/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/BGD/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/BRA/Industry/Livestock production index (2014-2016 = 100)", - "World/Pair/CHN/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/COL/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/CRI/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/DZA/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/EGY/Industry/Livestock production index (2014-2016 = 100)", - "World/Europe/GBR/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/GHA/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/IDN/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/IND/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/ISR/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/KOR/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/LBR/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/MAR/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/MEX/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/MOZ/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/NGA/Industry/Livestock production index (2014-2016 = 100)", - "World/Europe/NLD/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/OMN/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/PAN/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/PER/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/PHL/Industry/Livestock production index (2014-2016 = 100)", - "World/Europe/POL/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/QAT/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/SAU/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/SEN/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/THA/Industry/Livestock production index (2014-2016 = 100)", - "World/North Africa/TUR/Industry/Livestock production index (2014-2016 = 100)", - "World/Pair/USA/Industry/Livestock production index (2014-2016 = 100)", - "World/Latam/VEN/Industry/Livestock production index (2014-2016 = 100)", - "World/Asia/VNM/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/YEM/Industry/Livestock production index (2014-2016 = 100)", - "World/South Africa/ZAF/Industry/Livestock production index (2014-2016 = 100)", - "World/Persian Gulf/ARE/Health/Low-birthweight babies (% of births)", - "World/Asia/BGD/Health/Low-birthweight babies (% of births)", - "World/Latam/BRA/Health/Low-birthweight babies (% of births)", - "World/Latam/CHL/Health/Low-birthweight babies (% of births)", - "World/Pair/CHN/Health/Low-birthweight babies (% of births)", - "World/South Africa/CMR/Health/Low-birthweight babies (% of births)", - "World/Latam/COL/Health/Low-birthweight babies (% of births)", - "World/Latam/CRI/Health/Low-birthweight babies (% of births)", - "World/North Africa/DZA/Health/Low-birthweight babies (% of births)", - "World/Europe/ESP/Health/Low-birthweight babies (% of births)", - "World/Europe/FRA/Health/Low-birthweight babies (% of births)", - "World/Europe/GBR/Health/Low-birthweight babies (% of births)", - "World/South Africa/GHA/Health/Low-birthweight babies (% of births)", - "World/Europe/HRV/Health/Low-birthweight babies (% of births)", - "World/Asia/IDN/Health/Low-birthweight babies (% of births)", - "World/North Africa/ISR/Health/Low-birthweight babies (% of births)", - "World/Asia/KOR/Health/Low-birthweight babies (% of births)", - "World/North Africa/MAR/Health/Low-birthweight babies (% of births)", - "World/Latam/MEX/Health/Low-birthweight babies (% of births)", - "World/South Africa/MOZ/Health/Low-birthweight babies (% of births)", - "World/Europe/NLD/Health/Low-birthweight babies (% of births)", - "World/Persian Gulf/OMN/Health/Low-birthweight babies (% of births)", - "World/Latam/PAN/Health/Low-birthweight babies (% of births)", - "World/Latam/PER/Health/Low-birthweight babies (% of births)", - "World/Asia/PHL/Health/Low-birthweight babies (% of births)", - "World/Persian Gulf/QAT/Health/Low-birthweight babies (% of births)", - "World/South Africa/SEN/Health/Low-birthweight babies (% of births)", - "World/Asia/THA/Health/Low-birthweight babies (% of births)", - "World/North Africa/TUR/Health/Low-birthweight babies (% of births)", - "World/Asia/VNM/Health/Low-birthweight babies (% of births)", - "World/South Africa/ZAF/Health/Low-birthweight babies (% of births)", - "World/Persian Gulf/ARE/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/BGD/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Latam/CHL/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Pair/CHN/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Latam/COL/Economy/Market capitalization of listed domestic companies (current US$)", - "World/South Africa/GHA/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Europe/HRV/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/IDN/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/IND/Economy/Market capitalization of listed domestic companies (current US$)", - "World/North Africa/ISR/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/KOR/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Latam/MEX/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Persian Gulf/OMN/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Latam/PAN/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Europe/POL/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Persian Gulf/QAT/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Persian Gulf/SAU/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/THA/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Pair/USA/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Asia/VNM/Economy/Market capitalization of listed domestic companies (current US$)", - "World/South Africa/ZAF/Economy/Market capitalization of listed domestic companies (current US$)", - "World/Persian Gulf/ARE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/ARG/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/AZE/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/BGD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/CHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Pair/CHN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/CMR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/CRI/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/DZA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/EGY/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/ESP/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/GBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/GHA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/HRV/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/IDN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/IND/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/ISR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/KOR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/LBR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/MAR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/MEX/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/MOZ/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/NGA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/NLD/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/PAN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Latam/PER/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/PHL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Europe/POL/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/QAT/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/SAU/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/South Africa/SEN/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/THA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/North Africa/TUR/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Pair/USA/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Asia/VNM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/YEM/Mortality/Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "World/Persian Gulf/ARE/Exports/Merchandise exports (current US$)", - "World/Europe/AUT/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/AZE/Exports/Merchandise exports (current US$)", - "World/Asia/BGD/Exports/Merchandise exports (current US$)", - "World/Latam/BRA/Exports/Merchandise exports (current US$)", - "World/Latam/CHL/Exports/Merchandise exports (current US$)", - "World/Pair/CHN/Exports/Merchandise exports (current US$)", - "World/Latam/COL/Exports/Merchandise exports (current US$)", - "World/Latam/CRI/Exports/Merchandise exports (current US$)", - "World/Europe/DEU/Exports/Merchandise exports (current US$)", - "World/North Africa/EGY/Exports/Merchandise exports (current US$)", - "World/Europe/ESP/Exports/Merchandise exports (current US$)", - "World/Europe/FRA/Exports/Merchandise exports (current US$)", - "World/Europe/GBR/Exports/Merchandise exports (current US$)", - "World/South Africa/GHA/Exports/Merchandise exports (current US$)", - "World/Asia/IDN/Exports/Merchandise exports (current US$)", - "World/Asia/IND/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/IRQ/Exports/Merchandise exports (current US$)", - "World/North Africa/ISR/Exports/Merchandise exports (current US$)", - "World/Asia/KOR/Exports/Merchandise exports (current US$)", - "World/North Africa/MAR/Exports/Merchandise exports (current US$)", - "World/Latam/MEX/Exports/Merchandise exports (current US$)", - "World/South Africa/MOZ/Exports/Merchandise exports (current US$)", - "World/Europe/NLD/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/OMN/Exports/Merchandise exports (current US$)", - "World/Latam/PAN/Exports/Merchandise exports (current US$)", - "World/Latam/PER/Exports/Merchandise exports (current US$)", - "World/Asia/PHL/Exports/Merchandise exports (current US$)", - "World/Europe/POL/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/QAT/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/SAU/Exports/Merchandise exports (current US$)", - "World/South Africa/SEN/Exports/Merchandise exports (current US$)", - "World/Europe/SWE/Exports/Merchandise exports (current US$)", - "World/Asia/THA/Exports/Merchandise exports (current US$)", - "World/North Africa/TUR/Exports/Merchandise exports (current US$)", - "World/Pair/USA/Exports/Merchandise exports (current US$)", - "World/Latam/VEN/Exports/Merchandise exports (current US$)", - "World/Asia/VNM/Exports/Merchandise exports (current US$)", - "World/South Africa/ZAF/Exports/Merchandise exports (current US$)", - "World/Persian Gulf/ARE/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/AUT/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/AZE/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/BGD/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/BRA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/CHL/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Pair/CHN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/COL/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/CRI/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/DEU/Exports/Merchandise exports by the reporting economy (current US$)", - "World/North Africa/DZA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/North Africa/EGY/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/ESP/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/FRA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/GBR/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/GHA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/IDN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/IND/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/IRQ/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/KOR/Exports/Merchandise exports by the reporting economy (current US$)", - "World/North Africa/MAR/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/MEX/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/MOZ/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/NGA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/NLD/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/OMN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/PER/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/PHL/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/POL/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/QAT/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/SEN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Europe/SWE/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/THA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/North Africa/TUR/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Pair/USA/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Latam/VEN/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Asia/VNM/Exports/Merchandise exports by the reporting economy (current US$)", - "World/South Africa/ZAF/Exports/Merchandise exports by the reporting economy (current US$)", - "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Persian Gulf/AZE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/BGD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/GBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/South Africa/LBR/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/South Africa/MOZ/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/South Africa/NGA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/NLD/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/PAN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/PER/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/PHL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/POL/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Persian Gulf/QAT/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Europe/SWE/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Asia/THA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Pair/USA/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Latam/VEN/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/South Africa/ZAF/Exports/Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "World/Persian Gulf/ARE/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Europe/AUT/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Latam/BRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Latam/CHL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Pair/CHN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Latam/COL/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Europe/DEU/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Europe/ESP/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Europe/FRA/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Europe/GRC/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Asia/IDN/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Asia/IND/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Persian Gulf/IRQ/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/North Africa/ISR/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Asia/KOR/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "World/Latam/MEX/Exports/Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - 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"World/Europe/DEU/Imports/Merchandise imports by the reporting economy (current US$)", - "World/North Africa/DZA/Imports/Merchandise imports by the reporting economy (current US$)", - "World/North Africa/EGY/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/ESP/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/FRA/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/GBR/Imports/Merchandise imports by the reporting economy (current US$)", - "World/South Africa/GHA/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/GRC/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Europe/HRV/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Asia/IDN/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Asia/IND/Imports/Merchandise imports by the reporting economy (current US$)", - "World/Persian Gulf/IRQ/Imports/Merchandise imports by the reporting economy (current US$)", - 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"World/Persian Gulf/YEM/Imports/Merchandise imports from high-income economies (% of total merchandise imports)", - "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Latam/BRA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Latam/CHL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - 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"World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Asia/IDN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/North Africa/ISR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Asia/KOR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/North Africa/MAR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Latam/MEX/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/South Africa/MOZ/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/South Africa/NGA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Europe/NLD/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Latam/PAN/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Asia/PHL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Europe/SWE/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/Asia/THA/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - 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"World/Latam/PAN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Latam/PER/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Europe/SWE/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Latam/VEN/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/South Africa/ZAF/Imports/Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "World/Europe/AUT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Persian Gulf/AZE/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Asia/BGD/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Pair/CHN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/South Africa/CMR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Latam/COL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Latam/CRI/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/North Africa/DZA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/North Africa/EGY/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Europe/ESP/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Europe/FRA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Europe/GBR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/South Africa/GHA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Europe/GRC/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Asia/IND/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - 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"World/Europe/POL/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Persian Gulf/QAT/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Persian Gulf/SAU/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/South Africa/SEN/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/North Africa/TUR/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Pair/USA/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Persian Gulf/YEM/Imports/Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "World/Persian Gulf/ARE/Environment/Methane emissions (% change from 1990)", - "World/Europe/AUT/Environment/Methane emissions (% change from 1990)", - "World/Persian Gulf/AZE/Environment/Methane emissions (% change from 1990)", - "World/Asia/BGD/Environment/Methane emissions (% change from 1990)", - "World/Latam/CHL/Environment/Methane emissions (% change from 1990)", - "World/Pair/CHN/Environment/Methane emissions (% change from 1990)", - "World/Latam/COL/Environment/Methane emissions (% change from 1990)", - "World/Europe/DEU/Environment/Methane emissions (% change from 1990)", - "World/North Africa/DZA/Environment/Methane emissions (% change from 1990)", - "World/North Africa/EGY/Environment/Methane emissions (% change from 1990)", - "World/Europe/ESP/Environment/Methane emissions (% change from 1990)", - "World/Europe/FRA/Environment/Methane emissions (% change from 1990)", - "World/Europe/GBR/Environment/Methane emissions (% change from 1990)", - "World/South Africa/GHA/Environment/Methane emissions (% change from 1990)", - "World/Asia/IND/Environment/Methane emissions (% change from 1990)", - 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"World/Persian Gulf/YEM/Environment/Methane emissions (% change from 1990)", - "World/Persian Gulf/ARE/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/ARG/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/AUT/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/AZE/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Asia/BGD/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/BRA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Pair/CHN/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/CMR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/COL/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/CRI/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/DEU/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/DZA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/EGY/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/FRA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/GBR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/GHA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Asia/IND/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/ISR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/LBR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/MAR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/MEX/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/MOZ/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/NGA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/NLD/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/OMN/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/PAN/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Latam/PER/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Asia/PHL/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Europe/POL/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/QAT/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/SAU/Environment/Methane emissions (kt of CO2 equivalent)", - "World/South Africa/SEN/Environment/Methane emissions (kt of CO2 equivalent)", - "World/North Africa/TUR/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Pair/USA/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Asia/VNM/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/YEM/Environment/Methane emissions (kt of CO2 equivalent)", - "World/Persian Gulf/ARE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/ARG/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/AUT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/AZE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/BGD/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Pair/CHN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/CMR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/COL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/DEU/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/DZA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/EGY/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/FRA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/GBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/GHA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/GRC/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/IND/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/IRQ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/ISR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/KOR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/LBR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/North Africa/MAR/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/MOZ/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/NGA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/OMN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/PAN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Latam/PER/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/POL/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/QAT/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/South Africa/SEN/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Europe/SWE/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/THA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Pair/USA/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Asia/VNM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/YEM/Environment/Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "World/Persian Gulf/ARE/Military/Military expenditure (current USD)", - "World/Europe/AUT/Military/Military expenditure (current USD)", - "World/Persian Gulf/AZE/Military/Military expenditure (current USD)", - "World/Asia/BGD/Military/Military expenditure (current USD)", - "World/Latam/BRA/Military/Military expenditure (current USD)", - "World/Latam/CHL/Military/Military expenditure (current USD)", - "World/Pair/CHN/Military/Military expenditure (current USD)", - "World/South Africa/CMR/Military/Military expenditure (current USD)", - "World/Latam/COL/Military/Military expenditure (current USD)", - "World/North Africa/DZA/Military/Military expenditure (current USD)", - "World/North Africa/EGY/Military/Military expenditure (current USD)", - "World/Europe/ESP/Military/Military expenditure (current USD)", - "World/Europe/FRA/Military/Military expenditure (current USD)", - "World/South Africa/GHA/Military/Military expenditure (current USD)", - "World/Europe/GRC/Military/Military expenditure (current USD)", - "World/Asia/IDN/Military/Military expenditure (current USD)", - "World/Asia/IND/Military/Military expenditure (current USD)", - "World/North Africa/ISR/Military/Military expenditure (current USD)", - "World/Asia/KOR/Military/Military expenditure (current USD)", - "World/North Africa/MAR/Military/Military expenditure (current USD)", - "World/Latam/MEX/Military/Military expenditure (current USD)", - "World/South Africa/MOZ/Military/Military expenditure (current USD)", - "World/South Africa/NGA/Military/Military expenditure (current USD)", - "World/Europe/NLD/Military/Military expenditure (current USD)", - "World/Persian Gulf/OMN/Military/Military expenditure (current USD)", - "World/Latam/PER/Military/Military expenditure (current USD)", - "World/Asia/PHL/Military/Military expenditure (current USD)", - "World/Europe/POL/Military/Military expenditure (current USD)", - "World/Persian Gulf/SAU/Military/Military expenditure (current USD)", - "World/South Africa/SEN/Military/Military expenditure (current USD)", - "World/Asia/THA/Military/Military expenditure (current USD)", - "World/North Africa/TUR/Military/Military expenditure (current USD)", - "World/Pair/USA/Military/Military expenditure (current USD)", - "World/Asia/VNM/Military/Military expenditure (current USD)", - "World/Persian Gulf/YEM/Military/Military expenditure (current USD)", - "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions", - "World/Latam/BRA/Internet/Mobile cellular subscriptions", - "World/Latam/CHL/Internet/Mobile cellular subscriptions", - "World/Pair/CHN/Internet/Mobile cellular subscriptions", - "World/Europe/DEU/Internet/Mobile cellular subscriptions", - "World/North Africa/DZA/Internet/Mobile cellular subscriptions", - "World/North Africa/EGY/Internet/Mobile cellular subscriptions", - "World/Europe/FRA/Internet/Mobile cellular subscriptions", - "World/Europe/GBR/Internet/Mobile cellular subscriptions", - "World/Europe/HRV/Internet/Mobile cellular subscriptions", - "World/Asia/IDN/Internet/Mobile cellular subscriptions", - "World/North Africa/ISR/Internet/Mobile cellular subscriptions", - "World/Asia/KOR/Internet/Mobile cellular subscriptions", - "World/North Africa/MAR/Internet/Mobile cellular subscriptions", - "World/Latam/MEX/Internet/Mobile cellular subscriptions", - "World/Europe/NLD/Internet/Mobile cellular subscriptions", - "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions", - "World/Latam/PER/Internet/Mobile cellular subscriptions", - "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions", - "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions", - "World/Europe/SWE/Internet/Mobile cellular subscriptions", - "World/Asia/THA/Internet/Mobile cellular subscriptions", - "World/North Africa/TUR/Internet/Mobile cellular subscriptions", - "World/Pair/USA/Internet/Mobile cellular subscriptions", - "World/South Africa/ZAF/Internet/Mobile cellular subscriptions", - "World/Persian Gulf/ARE/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/BRA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/CHL/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Pair/CHN/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/DEU/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/DZA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/EGY/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/FRA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/HRV/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Asia/IDN/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/ISR/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Asia/KOR/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/MAR/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/MEX/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/NLD/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Persian Gulf/OMN/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/PER/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Persian Gulf/QAT/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Persian Gulf/SAU/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Europe/SWE/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Asia/THA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/North Africa/TUR/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Pair/USA/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Latam/VEN/Internet/Mobile cellular subscriptions (per 100 people)", - "World/South Africa/ZAF/Internet/Mobile cellular subscriptions (per 100 people)", - "World/Persian Gulf/ARE/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Persian Gulf/AZE/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Asia/BGD/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/CHL/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Pair/CHN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/South Africa/CMR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/COL/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/CRI/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/DEU/Economy/Monetary Sector credit to private sector (% GDP)", - "World/North Africa/DZA/Economy/Monetary Sector credit to private sector (% GDP)", - "World/North Africa/EGY/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/FRA/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/GRC/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/HRV/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Asia/IND/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Asia/KOR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/South Africa/LBR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/North Africa/MAR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/MEX/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Persian Gulf/OMN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/PAN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/PER/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/POL/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Persian Gulf/QAT/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Persian Gulf/SAU/Economy/Monetary Sector credit to private sector (% GDP)", - "World/South Africa/SEN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/SWE/Economy/Monetary Sector credit to private sector (% GDP)", - "World/North Africa/TUR/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Latam/VEN/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Asia/VNM/Economy/Monetary Sector credit to private sector (% GDP)", - "World/Europe/AUT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/AZE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/BGD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Pair/CHN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/South Africa/CMR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/DEU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/North Africa/DZA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/ESP/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/GBR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/GRC/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/HRV/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/IDN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/North Africa/ISR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/KOR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/North Africa/MAR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Latam/MEX/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/South Africa/MOZ/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/South Africa/NGA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/NLD/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/OMN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/PHL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/POL/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/QAT/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/SAU/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Europe/SWE/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/THA/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/North Africa/TUR/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Latam/VEN/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Asia/VNM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/YEM/Mortality/Mortality caused by road traffic injury (per 100,000 population)", - "World/Persian Gulf/ARE/Economy/Net barter terms of trade index (2000 = 100)", - "World/Europe/AUT/Economy/Net barter terms of trade index (2000 = 100)", - "World/Latam/BRA/Economy/Net barter terms of trade index (2000 = 100)", - "World/Latam/COL/Economy/Net barter terms of trade index (2000 = 100)", - "World/North Africa/DZA/Economy/Net barter terms of trade index (2000 = 100)", - "World/North Africa/EGY/Economy/Net barter terms of trade index (2000 = 100)", - "World/Europe/ESP/Economy/Net barter terms of trade index (2000 = 100)", - "World/South Africa/GHA/Economy/Net barter terms of trade index (2000 = 100)", - "World/Asia/KOR/Economy/Net barter terms of trade index (2000 = 100)", - "World/South Africa/LBR/Economy/Net barter terms of trade index (2000 = 100)", - "World/Europe/NLD/Economy/Net barter terms of trade index (2000 = 100)", - "World/Europe/SWE/Economy/Net barter terms of trade index (2000 = 100)", - "World/Asia/VNM/Economy/Net barter terms of trade index (2000 = 100)", - "World/South Africa/ZAF/Economy/Net barter terms of trade index (2000 = 100)", - "World/Asia/BGD/Economy/Net primary income (BoP, current US$)", - "World/Latam/BRA/Economy/Net primary income (BoP, current US$)", - "World/Latam/COL/Economy/Net primary income (BoP, current US$)", - "World/Latam/CRI/Economy/Net primary income (BoP, current US$)", - "World/North Africa/EGY/Economy/Net primary income (BoP, current US$)", - "World/Europe/FRA/Economy/Net primary income (BoP, current US$)", - "World/South Africa/GHA/Economy/Net primary income (BoP, current US$)", - "World/Asia/IDN/Economy/Net primary income (BoP, current US$)", - "World/Asia/IND/Economy/Net primary income (BoP, current US$)", - "World/Asia/KOR/Economy/Net primary income (BoP, current US$)", - "World/Latam/MEX/Economy/Net primary income (BoP, current US$)", - "World/Persian Gulf/OMN/Economy/Net primary income (BoP, current US$)", - "World/Latam/PAN/Economy/Net primary income (BoP, current US$)", - "World/Europe/POL/Economy/Net primary income (BoP, current US$)", - "World/Persian Gulf/QAT/Economy/Net primary income (BoP, current US$)", - "World/Asia/THA/Economy/Net primary income (BoP, current US$)", - "World/North Africa/TUR/Economy/Net primary income (BoP, current US$)", - "World/Pair/USA/Economy/Net primary income (BoP, current US$)", - "World/Latam/VEN/Economy/Net primary income (BoP, current US$)", - "World/Asia/VNM/Economy/Net primary income (BoP, current US$)", - "World/South Africa/ZAF/Economy/Net primary income (BoP, current US$)", - "World/Asia/BGD/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/BRA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/COL/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/CRI/Economy/Net primary income (Net income from abroad) (current US$)", - "World/North Africa/EGY/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Europe/FRA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/IND/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/KOR/Economy/Net primary income (Net income from abroad) (current US$)", - "World/South Africa/LBR/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/MEX/Economy/Net primary income (Net income from abroad) (current US$)", - "World/South Africa/NGA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Persian Gulf/OMN/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Latam/PAN/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/PHL/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Europe/POL/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Persian Gulf/SAU/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/THA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/North Africa/TUR/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Pair/USA/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/VNM/Economy/Net primary income (Net income from abroad) (current US$)", - "World/South Africa/ZAF/Economy/Net primary income (Net income from abroad) (current US$)", - "World/Asia/BGD/Economy/Net secondary income (BoP, current US$)", - "World/Latam/COL/Economy/Net secondary income (BoP, current US$)", - "World/Latam/CRI/Economy/Net secondary income (BoP, current US$)", - "World/Europe/DEU/Economy/Net secondary income (BoP, current US$)", - "World/North Africa/EGY/Economy/Net secondary income (BoP, current US$)", - "World/Europe/ESP/Economy/Net secondary income (BoP, current US$)", - "World/Europe/FRA/Economy/Net secondary income (BoP, current US$)", - "World/Europe/GBR/Economy/Net secondary income (BoP, current US$)", - "World/Asia/IND/Economy/Net secondary income (BoP, current US$)", - "World/Asia/KOR/Economy/Net secondary income (BoP, current US$)", - "World/North Africa/MAR/Economy/Net secondary income (BoP, current US$)", - "World/Latam/MEX/Economy/Net secondary income (BoP, current US$)", - "World/South Africa/NGA/Economy/Net secondary income (BoP, current US$)", - "World/Persian Gulf/OMN/Economy/Net secondary income (BoP, current US$)", - "World/Latam/PER/Economy/Net secondary income (BoP, current US$)", - "World/Asia/PHL/Economy/Net secondary income (BoP, current US$)", - "World/Europe/POL/Economy/Net secondary income (BoP, current US$)", - "World/Persian Gulf/SAU/Economy/Net secondary income (BoP, current US$)", - "World/South Africa/SEN/Economy/Net secondary income (BoP, current US$)", - "World/Europe/SWE/Economy/Net secondary income (BoP, current US$)", - "World/Asia/THA/Economy/Net secondary income (BoP, current US$)", - "World/Pair/USA/Economy/Net secondary income (BoP, current US$)", - "World/Latam/VEN/Economy/Net secondary income (BoP, current US$)", - "World/Asia/VNM/Economy/Net secondary income (BoP, current US$)", - "World/Persian Gulf/YEM/Economy/Net secondary income (BoP, current US$)", - "World/South Africa/ZAF/Economy/Net secondary income (BoP, current US$)", - "World/Persian Gulf/ARE/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/AUT/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/COL/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/CRI/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/North Africa/DZA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/North Africa/EGY/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/ESP/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/FRA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/GBR/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/South Africa/GHA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Asia/IND/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/North Africa/ISR/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/North Africa/MAR/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/MEX/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/South Africa/NGA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Persian Gulf/OMN/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/PAN/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Latam/PER/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Asia/PHL/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/POL/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Persian Gulf/QAT/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Persian Gulf/SAU/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/South Africa/SEN/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/SWE/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Asia/THA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Pair/USA/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Asia/VNM/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Persian Gulf/YEM/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/South Africa/ZAF/Economy/Net secondary income (Net current transfers from abroad) (current US$)", - "World/Europe/AUT/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Persian Gulf/AZE/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Asia/BGD/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Latam/CHL/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Pair/CHN/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Latam/COL/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Latam/CRI/Environment/Nitrous oxide emissions (% change from 1990)", - "World/North Africa/DZA/Environment/Nitrous oxide emissions (% change from 1990)", - "World/North Africa/EGY/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Europe/ESP/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Europe/FRA/Environment/Nitrous oxide emissions (% change from 1990)", - "World/Europe/GBR/Environment/Nitrous oxide emissions (% change from 1990)", - "World/South Africa/GHA/Environment/Nitrous oxide emissions (% change from 1990)", - 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"World/Latam/PER/Mortality/Number of neonatal deaths", - "World/Asia/PHL/Mortality/Number of neonatal deaths", - "World/Europe/POL/Mortality/Number of neonatal deaths", - "World/Persian Gulf/QAT/Mortality/Number of neonatal deaths", - "World/Persian Gulf/SAU/Mortality/Number of neonatal deaths", - "World/South Africa/SEN/Mortality/Number of neonatal deaths", - "World/Asia/THA/Mortality/Number of neonatal deaths", - "World/North Africa/TUR/Mortality/Number of neonatal deaths", - "World/Pair/USA/Mortality/Number of neonatal deaths", - "World/Asia/VNM/Mortality/Number of neonatal deaths", - "World/South Africa/ZAF/Mortality/Number of neonatal deaths", - "World/Persian Gulf/ARE/Mortality/Number of under-five deaths", - "World/Latam/ARG/Mortality/Number of under-five deaths", - "World/Europe/AUT/Mortality/Number of under-five deaths", - "World/Persian Gulf/AZE/Mortality/Number of under-five deaths", - "World/Asia/BGD/Mortality/Number of under-five deaths", - "World/Latam/BRA/Mortality/Number of under-five deaths", - "World/Latam/CHL/Mortality/Number of under-five deaths", - "World/Pair/CHN/Mortality/Number of under-five deaths", - "World/South Africa/CMR/Mortality/Number of under-five deaths", - "World/Latam/COL/Mortality/Number of under-five deaths", - "World/Latam/CRI/Mortality/Number of under-five deaths", - "World/North Africa/EGY/Mortality/Number of under-five deaths", - "World/Europe/FRA/Mortality/Number of under-five deaths", - "World/Europe/GBR/Mortality/Number of under-five deaths", - "World/South Africa/GHA/Mortality/Number of under-five deaths", - "World/Europe/GRC/Mortality/Number of under-five deaths", - "World/Europe/HRV/Mortality/Number of under-five deaths", - "World/Asia/IDN/Mortality/Number of under-five deaths", - "World/Asia/IND/Mortality/Number of under-five deaths", - "World/Persian Gulf/IRQ/Mortality/Number of under-five deaths", - "World/North Africa/ISR/Mortality/Number of under-five deaths", - "World/Asia/KOR/Mortality/Number of under-five deaths", - "World/South Africa/LBR/Mortality/Number of under-five deaths", - "World/North Africa/MAR/Mortality/Number of under-five deaths", - "World/Latam/MEX/Mortality/Number of under-five deaths", - "World/South Africa/MOZ/Mortality/Number of under-five deaths", - "World/Europe/NLD/Mortality/Number of under-five deaths", - "World/Persian Gulf/OMN/Mortality/Number of under-five deaths", - "World/Latam/PAN/Mortality/Number of under-five deaths", - "World/Latam/PER/Mortality/Number of under-five deaths", - "World/Asia/PHL/Mortality/Number of under-five deaths", - "World/Europe/POL/Mortality/Number of under-five deaths", - "World/Persian Gulf/SAU/Mortality/Number of under-five deaths", - "World/South Africa/SEN/Mortality/Number of under-five deaths", - "World/Europe/SWE/Mortality/Number of under-five deaths", - "World/Asia/THA/Mortality/Number of under-five deaths", - "World/North Africa/TUR/Mortality/Number of under-five deaths", - "World/Pair/USA/Mortality/Number of under-five deaths", - "World/Asia/VNM/Mortality/Number of under-five deaths", - "World/Latam/ARG/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/AUT/Health/Nurses and midwives (per 1,000 people)", - "World/Persian Gulf/AZE/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/BGD/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/BRA/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/CHL/Health/Nurses and midwives (per 1,000 people)", - "World/Pair/CHN/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/CMR/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/CRI/Health/Nurses and midwives (per 1,000 people)", - "World/North Africa/EGY/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/ESP/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/FRA/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/GHA/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/HRV/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/IDN/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/IND/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/KOR/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/LBR/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/MOZ/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/NLD/Health/Nurses and midwives (per 1,000 people)", - "World/Persian Gulf/OMN/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/PAN/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/PER/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/POL/Health/Nurses and midwives (per 1,000 people)", - "World/Persian Gulf/SAU/Health/Nurses and midwives (per 1,000 people)", - "World/Europe/SWE/Health/Nurses and midwives (per 1,000 people)", - "World/Asia/THA/Health/Nurses and midwives (per 1,000 people)", - "World/North Africa/TUR/Health/Nurses and midwives (per 1,000 people)", - "World/Pair/USA/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/VEN/Health/Nurses and midwives (per 1,000 people)", - "World/Persian Gulf/YEM/Health/Nurses and midwives (per 1,000 people)", - "World/South Africa/ZAF/Health/Nurses and midwives (per 1,000 people)", - "World/Latam/ARG/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/AUT/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Persian Gulf/AZE/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/BGD/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/BRA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/CHL/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Pair/CHN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/CMR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/COL/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/CRI/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/DEU/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/North Africa/DZA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/North Africa/EGY/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/ESP/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/FRA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/GBR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/GHA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/GRC/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/HRV/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/IDN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/IND/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/North Africa/ISR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/KOR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/LBR/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/NGA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/NLD/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/PAN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/PER/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/PHL/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/POL/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Persian Gulf/SAU/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/South Africa/SEN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Europe/SWE/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Pair/USA/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/VEN/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Asia/VNM/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Persian Gulf/YEM/Economy/Out-of-pocket expenditure per capita (current US$)", - "World/Latam/ARG/Health/People practicing open defecation (% of population)", - "World/Persian Gulf/AZE/Health/People practicing open defecation (% of population)", - "World/Asia/BGD/Health/People practicing open defecation (% of population)", - "World/Latam/BRA/Health/People practicing open defecation (% of population)", - "World/Latam/CHL/Health/People practicing open defecation (% of population)", - "World/Pair/CHN/Health/People practicing open defecation (% of population)", - "World/South Africa/CMR/Health/People practicing open defecation (% of population)", - "World/Latam/COL/Health/People practicing open defecation (% of population)", - "World/Latam/CRI/Health/People practicing open defecation (% of population)", - "World/North Africa/DZA/Health/People practicing open defecation (% of population)", - "World/North Africa/EGY/Health/People practicing open defecation (% of population)", - "World/South Africa/GHA/Health/People practicing open defecation (% of population)", - "World/Europe/GRC/Health/People practicing open defecation (% of population)", - "World/Asia/IDN/Health/People practicing open defecation (% of population)", - "World/Asia/IND/Health/People practicing open defecation (% of population)", - "World/Persian Gulf/IRQ/Health/People practicing open defecation (% of population)", - "World/South Africa/LBR/Health/People practicing open defecation (% of population)", - "World/North Africa/MAR/Health/People practicing open defecation (% of population)", - "World/Latam/MEX/Health/People practicing open defecation (% of population)", - "World/South Africa/MOZ/Health/People practicing open defecation (% of population)", - "World/South Africa/NGA/Health/People practicing open defecation (% of population)", - "World/Persian Gulf/OMN/Health/People practicing open defecation (% of population)", - "World/Latam/PAN/Health/People practicing open defecation (% of population)", - "World/Latam/PER/Health/People practicing open defecation (% of population)", - "World/Asia/PHL/Health/People practicing open defecation (% of population)", - "World/South Africa/SEN/Health/People practicing open defecation (% of population)", - "World/Asia/THA/Health/People practicing open defecation (% of population)", - "World/North Africa/TUR/Health/People practicing open defecation (% of population)", - "World/Latam/VEN/Health/People practicing open defecation (% of population)", - "World/Asia/VNM/Health/People practicing open defecation (% of population)", - "World/Persian Gulf/YEM/Health/People practicing open defecation (% of population)", - "World/South Africa/ZAF/Health/People practicing open defecation (% of population)", - "World/Persian Gulf/ARE/Health/People using at least basic drinking water services (% of population)", - "World/Latam/ARG/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/AZE/Health/People using at least basic drinking water services (% of population)", - "World/Asia/BGD/Health/People using at least basic drinking water services (% of population)", - "World/Latam/BRA/Health/People using at least basic drinking water services (% of population)", - "World/Latam/CHL/Health/People using at least basic drinking water services (% of population)", - "World/Pair/CHN/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/CMR/Health/People using at least basic drinking water services (% of population)", - "World/Latam/COL/Health/People using at least basic drinking water services (% of population)", - "World/Latam/CRI/Health/People using at least basic drinking water services (% of population)", - "World/North Africa/DZA/Health/People using at least basic drinking water services (% of population)", - "World/North Africa/EGY/Health/People using at least basic drinking water services (% of population)", - "World/Europe/ESP/Health/People using at least basic drinking water services (% of population)", - "World/Europe/FRA/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/GHA/Health/People using at least basic drinking water services (% of population)", - "World/Europe/GRC/Health/People using at least basic drinking water services (% of population)", - "World/Europe/HRV/Health/People using at least basic drinking water services (% of population)", - "World/Asia/IDN/Health/People using at least basic drinking water services (% of population)", - "World/Asia/IND/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/IRQ/Health/People using at least basic drinking water services (% of population)", - "World/Asia/KOR/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/LBR/Health/People using at least basic drinking water services (% of population)", - "World/North Africa/MAR/Health/People using at least basic drinking water services (% of population)", - "World/Latam/MEX/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/MOZ/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/NGA/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/OMN/Health/People using at least basic drinking water services (% of population)", - "World/Latam/PAN/Health/People using at least basic drinking water services (% of population)", - "World/Latam/PER/Health/People using at least basic drinking water services (% of population)", - "World/Asia/PHL/Health/People using at least basic drinking water services (% of population)", - "World/Europe/POL/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/QAT/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/SAU/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/SEN/Health/People using at least basic drinking water services (% of population)", - "World/Europe/SWE/Health/People using at least basic drinking water services (% of population)", - "World/Asia/THA/Health/People using at least basic drinking water services (% of population)", - "World/North Africa/TUR/Health/People using at least basic drinking water services (% of population)", - "World/Pair/USA/Health/People using at least basic drinking water services (% of population)", - "World/Latam/VEN/Health/People using at least basic drinking water services (% of population)", - "World/Asia/VNM/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/YEM/Health/People using at least basic drinking water services (% of population)", - "World/South Africa/ZAF/Health/People using at least basic drinking water services (% of population)", - "World/Persian Gulf/ARE/Health/People using at least basic sanitation services (% of population)", - "World/Latam/ARG/Health/People using at least basic sanitation services (% of population)", - "World/Europe/AUT/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/AZE/Health/People using at least basic sanitation services (% of population)", - "World/Asia/BGD/Health/People using at least basic sanitation services (% of population)", - "World/Latam/BRA/Health/People using at least basic sanitation services (% of population)", - "World/Latam/CHL/Health/People using at least basic sanitation services (% of population)", - "World/Pair/CHN/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/CMR/Health/People using at least basic sanitation services (% of population)", - "World/Latam/COL/Health/People using at least basic sanitation services (% of population)", - "World/Latam/CRI/Health/People using at least basic sanitation services (% of population)", - "World/Europe/DEU/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/DZA/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/EGY/Health/People using at least basic sanitation services (% of population)", - "World/Europe/ESP/Health/People using at least basic sanitation services (% of population)", - "World/Europe/FRA/Health/People using at least basic sanitation services (% of population)", - "World/Europe/GBR/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/GHA/Health/People using at least basic sanitation services (% of population)", - "World/Europe/GRC/Health/People using at least basic sanitation services (% of population)", - "World/Europe/HRV/Health/People using at least basic sanitation services (% of population)", - "World/Asia/IDN/Health/People using at least basic sanitation services (% of population)", - "World/Asia/IND/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/IRQ/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/ISR/Health/People using at least basic sanitation services (% of population)", - "World/Asia/KOR/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/LBR/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/MAR/Health/People using at least basic sanitation services (% of population)", - "World/Latam/MEX/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/MOZ/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/NGA/Health/People using at least basic sanitation services (% of population)", - "World/Europe/NLD/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/OMN/Health/People using at least basic sanitation services (% of population)", - "World/Latam/PAN/Health/People using at least basic sanitation services (% of population)", - "World/Latam/PER/Health/People using at least basic sanitation services (% of population)", - "World/Asia/PHL/Health/People using at least basic sanitation services (% of population)", - "World/Europe/POL/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/SAU/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/SEN/Health/People using at least basic sanitation services (% of population)", - "World/Europe/SWE/Health/People using at least basic sanitation services (% of population)", - "World/Asia/THA/Health/People using at least basic sanitation services (% of population)", - "World/North Africa/TUR/Health/People using at least basic sanitation services (% of population)", - "World/Pair/USA/Health/People using at least basic sanitation services (% of population)", - "World/Latam/VEN/Health/People using at least basic sanitation services (% of population)", - "World/Asia/VNM/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/YEM/Health/People using at least basic sanitation services (% of population)", - "World/South Africa/ZAF/Health/People using at least basic sanitation services (% of population)", - "World/Persian Gulf/ARE/Health/People using safely managed sanitation services (% of population)", - "World/Latam/ARG/Health/People using safely managed sanitation services (% of population)", - "World/Europe/AUT/Health/People using safely managed sanitation services (% of population)", - "World/Persian Gulf/AZE/Health/People using safely managed sanitation services (% of population)", - "World/Asia/BGD/Health/People using safely managed sanitation services (% of population)", - "World/Latam/BRA/Health/People using safely managed sanitation services (% of population)", - "World/Latam/CHL/Health/People using safely managed sanitation services (% of population)", - "World/Pair/CHN/Health/People using safely managed sanitation services (% of population)", - "World/Latam/COL/Health/People using safely managed sanitation services (% of population)", - "World/Latam/CRI/Health/People using safely managed sanitation services (% of population)", - "World/Europe/DEU/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/DZA/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/EGY/Health/People using safely managed sanitation services (% of population)", - "World/Europe/FRA/Health/People using safely managed sanitation services (% of population)", - "World/Europe/GBR/Health/People using safely managed sanitation services (% of population)", - "World/South Africa/GHA/Health/People using safely managed sanitation services (% of population)", - "World/Europe/GRC/Health/People using safely managed sanitation services (% of population)", - "World/Asia/IND/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/ISR/Health/People using safely managed sanitation services (% of population)", - "World/Asia/KOR/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/MAR/Health/People using safely managed sanitation services (% of population)", - "World/Latam/MEX/Health/People using safely managed sanitation services (% of population)", - "World/South Africa/NGA/Health/People using safely managed sanitation services (% of population)", - "World/Europe/NLD/Health/People using safely managed sanitation services (% of population)", - "World/Latam/PER/Health/People using safely managed sanitation services (% of population)", - "World/Asia/PHL/Health/People using safely managed sanitation services (% of population)", - "World/Europe/POL/Health/People using safely managed sanitation services (% of population)", - "World/Persian Gulf/QAT/Health/People using safely managed sanitation services (% of population)", - "World/Persian Gulf/SAU/Health/People using safely managed sanitation services (% of population)", - "World/South Africa/SEN/Health/People using safely managed sanitation services (% of population)", - "World/Europe/SWE/Health/People using safely managed sanitation services (% of population)", - "World/Asia/THA/Health/People using safely managed sanitation services (% of population)", - "World/North Africa/TUR/Health/People using safely managed sanitation services (% of population)", - "World/Pair/USA/Health/People using safely managed sanitation services (% of population)", - "World/Latam/VEN/Health/People using safely managed sanitation services (% of population)", - "World/Persian Gulf/YEM/Health/People using safely managed sanitation services (% of population)", - "World/Europe/AUT/Agriculture/Permanent cropland (% of land area)", - "World/Persian Gulf/AZE/Agriculture/Permanent cropland (% of land area)", - "World/Latam/CHL/Agriculture/Permanent cropland (% of land area)", - "World/Pair/CHN/Agriculture/Permanent cropland (% of land area)", - "World/South Africa/CMR/Agriculture/Permanent cropland (% of land area)", - "World/Latam/COL/Agriculture/Permanent cropland (% of land area)", - "World/Latam/CRI/Agriculture/Permanent cropland (% of land area)", - "World/North Africa/DZA/Agriculture/Permanent cropland (% of land area)", - "World/Europe/FRA/Agriculture/Permanent cropland (% of land area)", - "World/Europe/GRC/Agriculture/Permanent cropland (% of land area)", - "World/Asia/IDN/Agriculture/Permanent cropland (% of land area)", - "World/Asia/IND/Agriculture/Permanent cropland (% of land area)", - "World/North Africa/MAR/Agriculture/Permanent cropland (% of land area)", - "World/Latam/MEX/Agriculture/Permanent cropland (% of land area)", - "World/South Africa/MOZ/Agriculture/Permanent cropland (% of land area)", - "World/Europe/NLD/Agriculture/Permanent cropland (% of land area)", - "World/Persian Gulf/OMN/Agriculture/Permanent cropland (% of land area)", - "World/Latam/PER/Agriculture/Permanent cropland (% of land area)", - "World/Asia/PHL/Agriculture/Permanent cropland (% of land area)", - "World/South Africa/SEN/Agriculture/Permanent cropland (% of land area)", - "World/Asia/THA/Agriculture/Permanent cropland (% of land area)", - "World/North Africa/TUR/Agriculture/Permanent cropland (% of land area)", - "World/Asia/VNM/Agriculture/Permanent cropland (% of land area)", - "World/Persian Gulf/YEM/Agriculture/Permanent cropland (% of land area)", - "World/South Africa/ZAF/Agriculture/Permanent cropland (% of land area)", - "World/Persian Gulf/ARE/Demography/Population ages 0-14 (% of total population)", - "World/Latam/ARG/Demography/Population ages 0-14 (% of total population)", - "World/Europe/AUT/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/AZE/Demography/Population ages 0-14 (% of total population)", - "World/Asia/BGD/Demography/Population ages 0-14 (% of total population)", - "World/Latam/BRA/Demography/Population ages 0-14 (% of total population)", - "World/Latam/CHL/Demography/Population ages 0-14 (% of total population)", - "World/Pair/CHN/Demography/Population ages 0-14 (% of total population)", - "World/South Africa/CMR/Demography/Population ages 0-14 (% of total population)", - "World/Latam/COL/Demography/Population ages 0-14 (% of total population)", - "World/Latam/CRI/Demography/Population ages 0-14 (% of total population)", - "World/North Africa/EGY/Demography/Population ages 0-14 (% of total population)", - "World/Europe/FRA/Demography/Population ages 0-14 (% of total population)", - "World/South Africa/GHA/Demography/Population ages 0-14 (% of total population)", - "World/Europe/HRV/Demography/Population ages 0-14 (% of total population)", - "World/Asia/IDN/Demography/Population ages 0-14 (% of total population)", - "World/Asia/IND/Demography/Population ages 0-14 (% of total population)", - "World/Asia/KOR/Demography/Population ages 0-14 (% of total population)", - "World/North Africa/MAR/Demography/Population ages 0-14 (% of total population)", - "World/Latam/MEX/Demography/Population ages 0-14 (% of total population)", - "World/Europe/NLD/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/OMN/Demography/Population ages 0-14 (% of total population)", - "World/Latam/PAN/Demography/Population ages 0-14 (% of total population)", - "World/Latam/PER/Demography/Population ages 0-14 (% of total population)", - "World/Asia/PHL/Demography/Population ages 0-14 (% of total population)", - "World/Europe/POL/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/QAT/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/SAU/Demography/Population ages 0-14 (% of total population)", - "World/South Africa/SEN/Demography/Population ages 0-14 (% of total population)", - "World/Asia/THA/Demography/Population ages 0-14 (% of total population)", - "World/North Africa/TUR/Demography/Population ages 0-14 (% of total population)", - "World/Pair/USA/Demography/Population ages 0-14 (% of total population)", - "World/Latam/VEN/Demography/Population ages 0-14 (% of total population)", - "World/Asia/VNM/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/YEM/Demography/Population ages 0-14 (% of total population)", - "World/South Africa/ZAF/Demography/Population ages 0-14 (% of total population)", - "World/Persian Gulf/ARE/Demography/Population ages 15-64 (% of total population)", - "World/Latam/ARG/Demography/Population ages 15-64 (% of total population)", - "World/Persian Gulf/AZE/Demography/Population ages 15-64 (% of total population)", - "World/Asia/BGD/Demography/Population ages 15-64 (% of total population)", - "World/Latam/BRA/Demography/Population ages 15-64 (% of total population)", - "World/Latam/CHL/Demography/Population ages 15-64 (% of total population)", - "World/Pair/CHN/Demography/Population ages 15-64 (% of total population)", - "World/South Africa/CMR/Demography/Population ages 15-64 (% of total population)", - "World/Latam/COL/Demography/Population ages 15-64 (% of total population)", - "World/Latam/CRI/Demography/Population ages 15-64 (% of total population)", - "World/Europe/DEU/Demography/Population ages 15-64 (% of total population)", - "World/North Africa/EGY/Demography/Population ages 15-64 (% of total population)", - "World/Europe/FRA/Demography/Population ages 15-64 (% of total population)", - "World/Europe/GBR/Demography/Population ages 15-64 (% of total population)", - "World/South Africa/GHA/Demography/Population ages 15-64 (% of total population)", - "World/Europe/GRC/Demography/Population ages 15-64 (% of total population)", - "World/Asia/IDN/Demography/Population ages 15-64 (% of total population)", - "World/Asia/IND/Demography/Population ages 15-64 (% of total population)", - "World/North Africa/ISR/Demography/Population ages 15-64 (% of total population)", - "World/North Africa/MAR/Demography/Population ages 15-64 (% of total population)", - "World/Latam/MEX/Demography/Population ages 15-64 (% of total population)", - "World/Europe/NLD/Demography/Population ages 15-64 (% of total population)", - "World/Persian Gulf/OMN/Demography/Population ages 15-64 (% of total population)", - "World/Latam/PAN/Demography/Population ages 15-64 (% of total population)", - "World/Latam/PER/Demography/Population ages 15-64 (% of total population)", - "World/Asia/PHL/Demography/Population ages 15-64 (% of total population)", - "World/Europe/POL/Demography/Population ages 15-64 (% of total population)", - "World/Persian Gulf/QAT/Demography/Population ages 15-64 (% of total population)", - "World/Persian Gulf/SAU/Demography/Population ages 15-64 (% of total population)", - "World/South Africa/SEN/Demography/Population ages 15-64 (% of total population)", - "World/North Africa/TUR/Demography/Population ages 15-64 (% of total population)", - "World/Pair/USA/Demography/Population ages 15-64 (% of total population)", - "World/Latam/VEN/Demography/Population ages 15-64 (% of total population)", - "World/Asia/VNM/Demography/Population ages 15-64 (% of total population)", - "World/Persian Gulf/YEM/Demography/Population ages 15-64 (% of total population)", - "World/South Africa/ZAF/Demography/Population ages 15-64 (% of total population)", - "World/Persian Gulf/ARE/Demography/Population ages 65 and above (% of total population)", - "World/Latam/ARG/Demography/Population ages 65 and above (% of total population)", - "World/Europe/AUT/Demography/Population ages 65 and above (% of total population)", - "World/Asia/BGD/Demography/Population ages 65 and above (% of total population)", - "World/Latam/BRA/Demography/Population ages 65 and above (% of total population)", - "World/Latam/CHL/Demography/Population ages 65 and above (% of total population)", - "World/Pair/CHN/Demography/Population ages 65 and above (% of total population)", - "World/South Africa/CMR/Demography/Population ages 65 and above (% of total population)", - "World/Latam/COL/Demography/Population ages 65 and above (% of total population)", - "World/Latam/CRI/Demography/Population ages 65 and above (% of total population)", - "World/Europe/DEU/Demography/Population ages 65 and above (% of total population)", - "World/North Africa/DZA/Demography/Population ages 65 and above (% of total population)", - "World/North Africa/EGY/Demography/Population ages 65 and above (% of total population)", - "World/Europe/FRA/Demography/Population ages 65 and above (% of total population)", - "World/Europe/GBR/Demography/Population ages 65 and above (% of total population)", - "World/Europe/GRC/Demography/Population ages 65 and above (% of total population)", - "World/Europe/HRV/Demography/Population ages 65 and above (% of total population)", - "World/Asia/IDN/Demography/Population ages 65 and above (% of total population)", - "World/Asia/IND/Demography/Population ages 65 and above (% of total population)", - "World/North Africa/ISR/Demography/Population ages 65 and above (% of total population)", - "World/Asia/KOR/Demography/Population ages 65 and above (% of total population)", - "World/North Africa/MAR/Demography/Population ages 65 and above (% of total population)", - "World/Latam/MEX/Demography/Population ages 65 and above (% of total population)", - "World/South Africa/MOZ/Demography/Population ages 65 and above (% of total population)", - "World/South Africa/NGA/Demography/Population ages 65 and above (% of total population)", - "World/Europe/NLD/Demography/Population ages 65 and above (% of total population)", - "World/Latam/PAN/Demography/Population ages 65 and above (% of total population)", - "World/Latam/PER/Demography/Population ages 65 and above (% of total population)", - "World/Asia/PHL/Demography/Population ages 65 and above (% of total population)", - "World/Europe/POL/Demography/Population ages 65 and above (% of total population)", - "World/Persian Gulf/QAT/Demography/Population ages 65 and above (% of total population)", - "World/Asia/THA/Demography/Population ages 65 and above (% of total population)", - "World/North Africa/TUR/Demography/Population ages 65 and above (% of total population)", - "World/Pair/USA/Demography/Population ages 65 and above (% of total population)", - "World/Latam/VEN/Demography/Population ages 65 and above (% of total population)", - "World/Asia/VNM/Demography/Population ages 65 and above (% of total population)", - "World/Persian Gulf/YEM/Demography/Population ages 65 and above (% of total population)", - "World/South Africa/ZAF/Demography/Population ages 65 and above (% of total population)", - "World/Persian Gulf/ARE/Demography/Population in largest city", - "World/Latam/ARG/Demography/Population in largest city", - "World/Europe/AUT/Demography/Population in largest city", - "World/Persian Gulf/AZE/Demography/Population in largest city", - "World/Asia/BGD/Demography/Population in largest city", - "World/Latam/BRA/Demography/Population in largest city", - "World/Latam/CHL/Demography/Population in largest city", - "World/Pair/CHN/Demography/Population in largest city", - "World/South Africa/CMR/Demography/Population in largest city", - "World/Latam/COL/Demography/Population in largest city", - "World/Latam/CRI/Demography/Population in largest city", - "World/North Africa/DZA/Demography/Population in largest city", - "World/North Africa/EGY/Demography/Population in largest city", - "World/Europe/ESP/Demography/Population in largest city", - "World/Europe/FRA/Demography/Population in largest city", - "World/Europe/GBR/Demography/Population in largest city", - "World/South Africa/GHA/Demography/Population in largest city", - "World/Europe/GRC/Demography/Population in largest city", - "World/Europe/HRV/Demography/Population in largest city", - "World/Asia/IDN/Demography/Population in largest city", - "World/Asia/IND/Demography/Population in largest city", - "World/North Africa/ISR/Demography/Population in largest city", - "World/North Africa/MAR/Demography/Population in largest city", - "World/Latam/MEX/Demography/Population in largest city", - "World/South Africa/MOZ/Demography/Population in largest city", - "World/South Africa/NGA/Demography/Population in largest city", - "World/Europe/NLD/Demography/Population in largest city", - "World/Persian Gulf/OMN/Demography/Population in largest city", - "World/Latam/PAN/Demography/Population in largest city", - "World/Latam/PER/Demography/Population in largest city", - "World/Asia/PHL/Demography/Population in largest city", - "World/Europe/POL/Demography/Population in largest city", - "World/Persian Gulf/QAT/Demography/Population in largest city", - "World/Persian Gulf/SAU/Demography/Population in largest city", - "World/South Africa/SEN/Demography/Population in largest city", - "World/Asia/THA/Demography/Population in largest city", - "World/North Africa/TUR/Demography/Population in largest city", - "World/Pair/USA/Demography/Population in largest city", - "World/Latam/VEN/Demography/Population in largest city", - "World/Asia/VNM/Demography/Population in largest city", - "World/Persian Gulf/YEM/Demography/Population in largest city", - 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"World/Europe/FRA/Demography/Population in the largest city (% of urban population)", - "World/Europe/GBR/Demography/Population in the largest city (% of urban population)", - "World/Asia/IDN/Demography/Population in the largest city (% of urban population)", - "World/Asia/IND/Demography/Population in the largest city (% of urban population)", - "World/North Africa/ISR/Demography/Population in the largest city (% of urban population)", - "World/Asia/KOR/Demography/Population in the largest city (% of urban population)", - "World/North Africa/MAR/Demography/Population in the largest city (% of urban population)", - "World/Latam/MEX/Demography/Population in the largest city (% of urban population)", - "World/South Africa/MOZ/Demography/Population in the largest city (% of urban population)", - "World/South Africa/NGA/Demography/Population in the largest city (% of urban population)", - "World/Europe/NLD/Demography/Population in the largest city (% of urban population)", - "World/Latam/PAN/Demography/Population in the largest city (% of urban population)", - "World/Latam/PER/Demography/Population in the largest city (% of urban population)", - "World/Europe/POL/Demography/Population in the largest city (% of urban population)", - "World/Persian Gulf/QAT/Demography/Population in the largest city (% of urban population)", - "World/Persian Gulf/SAU/Demography/Population in the largest city (% of urban population)", - "World/South Africa/SEN/Demography/Population in the largest city (% of urban population)", - "World/North Africa/TUR/Demography/Population in the largest city (% of urban population)", - "World/Pair/USA/Demography/Population in the largest city (% of urban population)", - "World/Latam/VEN/Demography/Population in the largest city (% of urban population)", - "World/Asia/VNM/Demography/Population in the largest city (% of urban population)", - "World/Persian Gulf/YEM/Demography/Population in the largest city (% of urban population)", - "World/South Africa/ZAF/Demography/Population in the largest city (% of urban population)", - "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million", - "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million", - "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/CHL/Demography/Population in urban agglomerations of more than 1 million", - "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million", - "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/DEU/Demography/Population in urban agglomerations of more than 1 million", - "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million", - "World/North Africa/EGY/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/ESP/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/FRA/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million", - "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million", - "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million", - "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million", - "World/North Africa/ISR/Demography/Population in urban agglomerations of more than 1 million", - "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million", - "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million", - "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million", - "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/NLD/Demography/Population in urban agglomerations of more than 1 million", - "World/Persian Gulf/OMN/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million", - "World/Asia/PHL/Demography/Population in urban agglomerations of more than 1 million", - "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million", - "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million", - "World/South Africa/SEN/Demography/Population in urban agglomerations of more than 1 million", - "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million", - "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million", - "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million", - "World/Latam/VEN/Demography/Population in urban agglomerations of more than 1 million", - "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million", - "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million", - "World/South Africa/ZAF/Demography/Population in urban agglomerations of more than 1 million", - "World/Persian Gulf/ARE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Latam/ARG/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Europe/AUT/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Persian Gulf/AZE/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Asia/BGD/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Latam/BRA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Pair/CHN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/South Africa/CMR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Latam/COL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Latam/CRI/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/North Africa/DZA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Europe/GBR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/South Africa/GHA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Europe/GRC/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Asia/IDN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Asia/IND/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Asia/KOR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/North Africa/MAR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Latam/MEX/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/South Africa/MOZ/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/South Africa/NGA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Latam/PAN/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Latam/PER/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Europe/POL/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Persian Gulf/SAU/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Asia/THA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/North Africa/TUR/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Pair/USA/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Asia/VNM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - "World/Persian Gulf/YEM/Demography/Population in urban agglomerations of more than 1 million (% of total population)", - 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"World/Asia/IND/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/South Africa/LBR/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/North Africa/MAR/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/South Africa/MOZ/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Latam/PAN/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Latam/PER/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/South Africa/SEN/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Europe/SWE/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Asia/THA/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/North Africa/TUR/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Asia/VNM/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Persian Gulf/YEM/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/South Africa/ZAF/Economy/Poverty headcount ratio at national poverty lines (% of population)", - "World/Persian Gulf/ARE/Health/Pregnant women receiving prenatal care (%)", - "World/Persian Gulf/AZE/Health/Pregnant women receiving prenatal care (%)", - "World/Asia/BGD/Health/Pregnant women receiving prenatal care (%)", - "World/Pair/CHN/Health/Pregnant women receiving prenatal care (%)", - "World/South Africa/CMR/Health/Pregnant women receiving prenatal care (%)", - "World/Latam/COL/Health/Pregnant women receiving prenatal care (%)", - "World/Latam/CRI/Health/Pregnant women receiving prenatal care (%)", - "World/North Africa/DZA/Health/Pregnant women receiving prenatal care (%)", - "World/North Africa/EGY/Health/Pregnant women receiving prenatal care (%)", - "World/Asia/IDN/Health/Pregnant women receiving prenatal care (%)", - "World/Asia/IND/Health/Pregnant women receiving prenatal care (%)", - "World/South Africa/LBR/Health/Pregnant women receiving prenatal care (%)", - "World/North Africa/MAR/Health/Pregnant women receiving prenatal care (%)", - "World/South Africa/MOZ/Health/Pregnant women receiving prenatal care (%)", - "World/South Africa/NGA/Health/Pregnant women receiving prenatal care (%)", - "World/Latam/PER/Health/Pregnant women receiving prenatal care (%)", - "World/Asia/PHL/Health/Pregnant women receiving prenatal care (%)", - "World/Persian Gulf/QAT/Health/Pregnant women receiving prenatal care (%)", - "World/Persian Gulf/SAU/Health/Pregnant women receiving prenatal care (%)", - "World/South Africa/SEN/Health/Pregnant women receiving prenatal care (%)", - "World/North Africa/TUR/Health/Pregnant women receiving prenatal care (%)", - "World/Latam/VEN/Health/Pregnant women receiving prenatal care (%)", - "World/Asia/VNM/Health/Pregnant women receiving prenatal care (%)", - "World/Persian Gulf/YEM/Health/Pregnant women receiving prenatal care (%)", - "World/Europe/AUT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Persian Gulf/AZE/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Asia/BGD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/BRA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Pair/CHN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/South Africa/CMR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/COL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/CRI/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Europe/DEU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/North Africa/DZA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/North Africa/EGY/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Europe/ESP/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Europe/GBR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/South Africa/GHA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Europe/GRC/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Asia/IND/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/North Africa/ISR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/North Africa/MAR/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/MEX/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/South Africa/MOZ/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/South Africa/NGA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Europe/NLD/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Persian Gulf/OMN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/PAN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/PER/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Asia/PHL/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Persian Gulf/QAT/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Persian Gulf/SAU/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/South Africa/SEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Pair/USA/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Latam/VEN/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - "World/Asia/VNM/Health/Prevalence of anemia among children (% of children ages 6-59 months)", - 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"World/North Africa/EGY/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Europe/ESP/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Europe/GBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/South Africa/GHA/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Persian Gulf/IRQ/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/North Africa/ISR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Asia/KOR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/South Africa/LBR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/North Africa/MAR/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - "World/Latam/MEX/Health/Prevalence of anemia among non-pregnant women (% of women ages 15-49)", - 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"World/Europe/ESP/Economy/Primary income payments (BoP, current US$)", - "World/South Africa/GHA/Economy/Primary income payments (BoP, current US$)", - "World/Europe/GRC/Economy/Primary income payments (BoP, current US$)", - "World/Europe/HRV/Economy/Primary income payments (BoP, current US$)", - "World/Asia/IDN/Economy/Primary income payments (BoP, current US$)", - "World/Asia/IND/Economy/Primary income payments (BoP, current US$)", - "World/North Africa/ISR/Economy/Primary income payments (BoP, current US$)", - "World/Asia/KOR/Economy/Primary income payments (BoP, current US$)", - "World/Latam/MEX/Economy/Primary income payments (BoP, current US$)", - "World/Europe/NLD/Economy/Primary income payments (BoP, current US$)", - "World/Persian Gulf/OMN/Economy/Primary income payments (BoP, current US$)", - "World/Latam/PAN/Economy/Primary income payments (BoP, current US$)", - "World/Latam/PER/Economy/Primary income payments (BoP, current US$)", - "World/Asia/PHL/Economy/Primary income payments (BoP, current US$)", - "World/Europe/POL/Economy/Primary income payments (BoP, current US$)", - "World/Persian Gulf/SAU/Economy/Primary income payments (BoP, current US$)", - "World/South Africa/SEN/Economy/Primary income payments (BoP, current US$)", - "World/Asia/THA/Economy/Primary income payments (BoP, current US$)", - "World/North Africa/TUR/Economy/Primary income payments (BoP, current US$)", - "World/Pair/USA/Economy/Primary income payments (BoP, current US$)", - "World/Latam/VEN/Economy/Primary income payments (BoP, current US$)", - "World/Asia/VNM/Economy/Primary income payments (BoP, current US$)", - "World/South Africa/ZAF/Economy/Primary income payments (BoP, current US$)", - "World/Persian Gulf/AZE/Economy/Primary income receipts (BoP, current US$)", - "World/Latam/CHL/Economy/Primary income receipts (BoP, current US$)", - "World/Pair/CHN/Economy/Primary income receipts (BoP, current US$)", - "World/Latam/COL/Economy/Primary income receipts (BoP, current US$)", - "World/Europe/ESP/Economy/Primary income receipts (BoP, current US$)", - "World/South Africa/GHA/Economy/Primary income receipts (BoP, current US$)", - "World/Europe/GRC/Economy/Primary income receipts (BoP, current US$)", - "World/Europe/HRV/Economy/Primary income receipts (BoP, current US$)", - "World/Asia/IND/Economy/Primary income receipts (BoP, current US$)", - "World/North Africa/ISR/Economy/Primary income receipts (BoP, current US$)", - "World/Asia/KOR/Economy/Primary income receipts (BoP, current US$)", - "World/South Africa/LBR/Economy/Primary income receipts (BoP, current US$)", - "World/Latam/MEX/Economy/Primary income receipts (BoP, current US$)", - "World/Europe/NLD/Economy/Primary income receipts (BoP, current US$)", - "World/Latam/PER/Economy/Primary income receipts (BoP, current US$)", - "World/Asia/PHL/Economy/Primary income receipts (BoP, current US$)", - "World/Europe/POL/Economy/Primary income receipts (BoP, current US$)", - "World/Persian Gulf/QAT/Economy/Primary income receipts (BoP, current US$)", - "World/South Africa/SEN/Economy/Primary income receipts (BoP, current US$)", - "World/Asia/THA/Economy/Primary income receipts (BoP, current US$)", - "World/Pair/USA/Economy/Primary income receipts (BoP, current US$)", - "World/Asia/VNM/Economy/Primary income receipts (BoP, current US$)", - "World/Persian Gulf/YEM/Economy/Primary income receipts (BoP, current US$)", - "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/AZE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/BGD/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/BRA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - 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"World/Europe/HRV/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/IND/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/LBR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/MEX/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/NGA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/NLD/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/OMN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/PAN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Latam/PER/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/PHL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/POL/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/QAT/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/SAU/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/South Africa/SEN/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Pair/USA/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/YEM/Mortality/Probability of dying among adolescents ages 10-14 years (per 1,000)", - "World/Persian Gulf/ARE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/ARG/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/AUT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/CHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Pair/CHN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/South Africa/CMR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/COL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/DEU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/North Africa/DZA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/ESP/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/FRA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/GBR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/South Africa/GHA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/GRC/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/HRV/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/IDN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/IND/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/North Africa/ISR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/KOR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/North Africa/MAR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/South Africa/MOZ/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/South Africa/NGA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/NLD/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Persian Gulf/OMN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/PAN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/PER/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/PHL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/POL/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Persian Gulf/QAT/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Persian Gulf/SAU/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/South Africa/SEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Europe/SWE/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/THA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/North Africa/TUR/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Pair/USA/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Latam/VEN/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Asia/VNM/Mortality/Probability of dying among adolescents ages 15-19 years (per 1,000)", - "World/Persian Gulf/ARE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/ARG/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/AUT/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/AZE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/BGD/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/BRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/CHL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Pair/CHN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/CMR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/COL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/CRI/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/DZA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/EGY/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/ESP/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/FRA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/GBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/GHA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/GRC/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/HRV/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/IDN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/IND/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/ISR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/KOR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/LBR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/MAR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/MEX/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/MOZ/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/NGA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/NLD/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/OMN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/PAN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Latam/PER/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/PHL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/POL/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/QAT/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/SAU/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/South Africa/SEN/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Europe/SWE/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/THA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/North Africa/TUR/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Pair/USA/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Asia/VNM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/YEM/Mortality/Probability of dying among children ages 5-9 years (per 1,000)", - "World/Persian Gulf/ARE/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/ARG/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/AUT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/BGD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/CHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Pair/CHN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/CMR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/COL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/DEU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/DZA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/EGY/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/ESP/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/FRA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/GBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/GHA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/GRC/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/HRV/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/IDN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/IND/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/ISR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/KOR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/LBR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/MAR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/NGA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/NLD/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Persian Gulf/OMN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/PAN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/PER/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/PHL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Europe/POL/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Persian Gulf/QAT/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Persian Gulf/SAU/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/South Africa/SEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/THA/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/North Africa/TUR/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/VEN/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Asia/VNM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Persian Gulf/YEM/Mortality/Probability of dying among youth ages 20-24 years (per 1,000)", - "World/Latam/ARG/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Persian Gulf/AZE/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/CHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Pair/CHN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/COL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/CRI/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/North Africa/EGY/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Europe/ESP/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/South Africa/GHA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Europe/GRC/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Asia/IND/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/MEX/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/South Africa/MOZ/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/South Africa/NGA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/PAN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Latam/PER/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Asia/PHL/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Persian Gulf/SAU/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/South Africa/SEN/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Asia/THA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/North Africa/TUR/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Pair/USA/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Asia/VNM/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Persian Gulf/YEM/Economy/Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)", - "World/Persian Gulf/AZE/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/BGD/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Latam/BRA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Latam/CHL/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Pair/CHN/Equality/Proportion of seats held by women in national parliaments (%)", - "World/South Africa/CMR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/North Africa/DZA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/North Africa/EGY/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Europe/GBR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/South Africa/GHA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/IND/Equality/Proportion of seats held by women in national parliaments (%)", - "World/North Africa/ISR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/KOR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Latam/MEX/Equality/Proportion of seats held by women in national parliaments (%)", - "World/South Africa/MOZ/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Latam/PAN/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/PHL/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Europe/POL/Equality/Proportion of seats held by women in national parliaments (%)", - "World/South Africa/SEN/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/THA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/North Africa/TUR/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Pair/USA/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Asia/VNM/Equality/Proportion of seats held by women in national parliaments (%)", - "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/GHA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Asia/IND/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/NGA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/YEM/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (modeled ILO estimate)", - "World/Persian Gulf/ARE/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/ARG/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/AUT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Asia/BGD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/BRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/CHL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Pair/CHN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/CRI/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/DEU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/North Africa/DZA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/ESP/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/FRA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/GBR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/GRC/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/North Africa/ISR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Asia/KOR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/MEX/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/South Africa/MOZ/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/NLD/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Persian Gulf/OMN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/PAN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Europe/POL/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Persian Gulf/QAT/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Persian Gulf/SAU/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/South Africa/SEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/North Africa/TUR/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Pair/USA/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Latam/VEN/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Asia/VNM/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/South Africa/ZAF/Equality/Ratio of female to male labor force participation rate (%) (national estimate)", - "World/Persian Gulf/ARE/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Latam/ARG/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/BGD/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Pair/CHN/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Latam/CRI/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/DEU/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/North Africa/EGY/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/GBR/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/South Africa/GHA/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/GRC/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/IDN/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/IND/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/KOR/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/North Africa/MAR/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Latam/MEX/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/South Africa/MOZ/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/NLD/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Latam/PAN/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/PHL/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/POL/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Persian Gulf/SAU/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Europe/SWE/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/North Africa/TUR/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Pair/USA/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Asia/VNM/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/South Africa/ZAF/Environment/Renewable energy consumption (% of total final energy consumption)", - "World/Persian Gulf/ARE/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/ARG/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/AUT/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/AZE/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/BGD/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/BRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/CHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Pair/CHN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/CMR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/COL/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/CRI/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/DZA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/EGY/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/ESP/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/FRA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/GBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/GHA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/IDN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/IND/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/ISR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/KOR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/LBR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/MAR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/MEX/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/MOZ/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/NGA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/NLD/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/OMN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/PAN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/PER/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/PHL/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/POL/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/QAT/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/SAU/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/SEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/THA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/North Africa/TUR/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Pair/USA/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Latam/VEN/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Asia/VNM/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Persian Gulf/YEM/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/South Africa/ZAF/Environment/Renewable internal freshwater resources per capita (cubic meters)", - "World/Europe/AUT/R&D/Researchers in R&D (per million people)", - "World/Latam/BRA/R&D/Researchers in R&D (per million people)", - "World/Pair/CHN/R&D/Researchers in R&D (per million people)", - "World/Europe/DEU/R&D/Researchers in R&D (per million people)", - "World/North Africa/DZA/R&D/Researchers in R&D (per million people)", - "World/Europe/ESP/R&D/Researchers in R&D (per million people)", - "World/Europe/FRA/R&D/Researchers in R&D (per million people)", - "World/Europe/GBR/R&D/Researchers in R&D (per million people)", - "World/South Africa/GHA/R&D/Researchers in R&D (per million people)", - "World/Europe/GRC/R&D/Researchers in R&D (per million people)", - "World/Asia/IND/R&D/Researchers in R&D (per million people)", - "World/Asia/KOR/R&D/Researchers in R&D (per million people)", - "World/North Africa/MAR/R&D/Researchers in R&D (per million people)", - "World/South Africa/MOZ/R&D/Researchers in R&D (per million people)", - "World/Europe/NLD/R&D/Researchers in R&D (per million people)", - "World/Persian Gulf/OMN/R&D/Researchers in R&D (per million people)", - "World/Asia/PHL/R&D/Researchers in R&D (per million people)", - "World/Europe/POL/R&D/Researchers in R&D (per million people)", - "World/Asia/THA/R&D/Researchers in R&D (per million people)", - "World/North Africa/TUR/R&D/Researchers in R&D (per million people)", - "World/Pair/USA/R&D/Researchers in R&D (per million people)", - "World/Latam/VEN/R&D/Researchers in R&D (per million people)", - "World/Persian Gulf/AZE/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/BGD/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/BRA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/CHL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Pair/CHN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/CRI/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/North Africa/EGY/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Europe/ESP/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/South Africa/GHA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/IND/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/KOR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/North Africa/MAR/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/MEX/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/PAN/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Latam/PER/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Europe/POL/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/THA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Pair/USA/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Asia/VNM/Health/Risk of catastrophic expenditure for surgical care (% of people at risk)", - "World/Persian Gulf/AZE/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/BGD/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/BRA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/CHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Pair/CHN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/South Africa/CMR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/COL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/CRI/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/North Africa/DZA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/North Africa/EGY/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/South Africa/GHA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/IDN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/IND/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/North Africa/MAR/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/MEX/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/South Africa/MOZ/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/PAN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Latam/PER/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/PHL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Europe/POL/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/South Africa/SEN/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/THA/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Asia/VNM/Health/Risk of impoverishing expenditure for surgical care (% of people at risk)", - "World/Persian Gulf/ARE/Demography/Rural population", - "World/Latam/ARG/Demography/Rural population", - "World/Europe/AUT/Demography/Rural population", - "World/Persian Gulf/AZE/Demography/Rural population", - "World/Asia/BGD/Demography/Rural population", - "World/Latam/BRA/Demography/Rural population", - "World/Pair/CHN/Demography/Rural population", - "World/South Africa/CMR/Demography/Rural population", - "World/Latam/COL/Demography/Rural population", - "World/Latam/CRI/Demography/Rural population", - "World/North Africa/DZA/Demography/Rural population", - "World/North Africa/EGY/Demography/Rural population", - "World/Europe/FRA/Demography/Rural population", - "World/Europe/GBR/Demography/Rural population", - "World/South Africa/GHA/Demography/Rural population", - "World/Europe/GRC/Demography/Rural population", - "World/Europe/HRV/Demography/Rural population", - "World/Asia/IDN/Demography/Rural population", - "World/Asia/IND/Demography/Rural population", - "World/North Africa/ISR/Demography/Rural population", - "World/South Africa/LBR/Demography/Rural population", - "World/North Africa/MAR/Demography/Rural population", - "World/South Africa/MOZ/Demography/Rural population", - "World/South Africa/NGA/Demography/Rural population", - "World/Europe/NLD/Demography/Rural population", - "World/Persian Gulf/OMN/Demography/Rural population", - "World/Latam/PAN/Demography/Rural population", - "World/Asia/PHL/Demography/Rural population", - "World/Europe/POL/Demography/Rural population", - "World/Persian Gulf/QAT/Demography/Rural population", - "World/Persian Gulf/SAU/Demography/Rural population", - "World/South Africa/SEN/Demography/Rural population", - "World/North Africa/TUR/Demography/Rural population", - "World/Pair/USA/Demography/Rural population", - "World/Asia/VNM/Demography/Rural population", - "World/Persian Gulf/YEM/Demography/Rural population", - "World/Persian Gulf/ARE/Demography/Rural population (% of total population)", - "World/Latam/ARG/Demography/Rural population (% of total population)", - "World/Persian Gulf/AZE/Demography/Rural population (% of total population)", - "World/Asia/BGD/Demography/Rural population (% of total population)", - "World/Latam/BRA/Demography/Rural population (% of total population)", - "World/Latam/CHL/Demography/Rural population (% of total population)", - "World/Pair/CHN/Demography/Rural population (% of total population)", - "World/South Africa/CMR/Demography/Rural population (% of total population)", - "World/Latam/COL/Demography/Rural population (% of total population)", - "World/Latam/CRI/Demography/Rural population (% of total population)", - "World/Europe/DEU/Demography/Rural population (% of total population)", - "World/North Africa/DZA/Demography/Rural population (% of total population)", - "World/Europe/ESP/Demography/Rural population (% of total population)", - "World/Europe/FRA/Demography/Rural population (% of total population)", - "World/Europe/GBR/Demography/Rural population (% of total population)", - "World/South Africa/GHA/Demography/Rural population (% of total population)", - "World/Europe/GRC/Demography/Rural population (% of total population)", - "World/Europe/HRV/Demography/Rural population (% of total population)", - "World/Asia/IDN/Demography/Rural population (% of total population)", - "World/Asia/IND/Demography/Rural population (% of total population)", - "World/Persian Gulf/IRQ/Demography/Rural population (% of total population)", - "World/North Africa/ISR/Demography/Rural population (% of total population)", - "World/South Africa/LBR/Demography/Rural population (% of total population)", - "World/North Africa/MAR/Demography/Rural population (% of total population)", - "World/Latam/MEX/Demography/Rural population (% of total population)", - "World/South Africa/MOZ/Demography/Rural population (% of total population)", - "World/South Africa/NGA/Demography/Rural population (% of total population)", - "World/Europe/NLD/Demography/Rural population (% of total population)", - "World/Persian Gulf/OMN/Demography/Rural population (% of total population)", - "World/Latam/PAN/Demography/Rural population (% of total population)", - "World/Latam/PER/Demography/Rural population (% of total population)", - "World/Europe/POL/Demography/Rural population (% of total population)", - "World/Persian Gulf/QAT/Demography/Rural population (% of total population)", - "World/Persian Gulf/SAU/Demography/Rural population (% of total population)", - "World/South Africa/SEN/Demography/Rural population (% of total population)", - "World/Asia/THA/Demography/Rural population (% of total population)", - "World/North Africa/TUR/Demography/Rural population (% of total population)", - "World/Pair/USA/Demography/Rural population (% of total population)", - "World/Latam/VEN/Demography/Rural population (% of total population)", - "World/Asia/VNM/Demography/Rural population (% of total population)", - "World/Persian Gulf/YEM/Demography/Rural population (% of total population)", - "World/South Africa/ZAF/Demography/Rural population (% of total population)", - "World/Persian Gulf/ARE/industry/Scientific and technical journal articles", - "World/Latam/ARG/industry/Scientific and technical journal articles", - "World/Europe/AUT/industry/Scientific and technical journal articles", - "World/Persian Gulf/AZE/industry/Scientific and technical journal articles", - "World/Asia/BGD/industry/Scientific and technical journal articles", - "World/Latam/BRA/industry/Scientific and technical journal articles", - "World/Latam/CHL/industry/Scientific and technical journal articles", - "World/Pair/CHN/industry/Scientific and technical journal articles", - "World/South Africa/CMR/industry/Scientific and technical journal articles", - "World/Latam/COL/industry/Scientific and technical journal articles", - "World/Latam/CRI/industry/Scientific and technical journal articles", - "World/North Africa/DZA/industry/Scientific and technical journal articles", - "World/North Africa/EGY/industry/Scientific and technical journal articles", - "World/Europe/ESP/industry/Scientific and technical journal articles", - "World/Europe/FRA/industry/Scientific and technical journal articles", - "World/Europe/GBR/industry/Scientific and technical journal articles", - "World/South Africa/GHA/industry/Scientific and technical journal articles", - "World/Europe/GRC/industry/Scientific and technical journal articles", - "World/Europe/HRV/industry/Scientific and technical journal articles", - "World/Asia/IDN/industry/Scientific and technical journal articles", - "World/Asia/IND/industry/Scientific and technical journal articles", - "World/Persian Gulf/IRQ/industry/Scientific and technical journal articles", - "World/North Africa/ISR/industry/Scientific and technical journal articles", - "World/Asia/KOR/industry/Scientific and technical journal articles", - "World/South Africa/LBR/industry/Scientific and technical journal articles", - "World/North Africa/MAR/industry/Scientific and technical journal articles", - "World/Latam/MEX/industry/Scientific and technical journal articles", - "World/South Africa/MOZ/industry/Scientific and technical journal articles", - "World/South Africa/NGA/industry/Scientific and technical journal articles", - "World/Europe/NLD/industry/Scientific and technical journal articles", - "World/Persian Gulf/OMN/industry/Scientific and technical journal articles", - "World/Latam/PAN/industry/Scientific and technical journal articles", - "World/Latam/PER/industry/Scientific and technical journal articles", - "World/Asia/PHL/industry/Scientific and technical journal articles", - "World/Europe/POL/industry/Scientific and technical journal articles", - "World/Persian Gulf/QAT/industry/Scientific and technical journal articles", - "World/Persian Gulf/SAU/industry/Scientific and technical journal articles", - "World/South Africa/SEN/industry/Scientific and technical journal articles", - "World/Europe/SWE/industry/Scientific and technical journal articles", - "World/Asia/THA/industry/Scientific and technical journal articles", - "World/North Africa/TUR/industry/Scientific and technical journal articles", - "World/Pair/USA/industry/Scientific and technical journal articles", - "World/Latam/VEN/industry/Scientific and technical journal articles", - "World/Asia/VNM/industry/Scientific and technical journal articles", - "World/Persian Gulf/YEM/industry/Scientific and technical journal articles", - "World/South Africa/ZAF/industry/Scientific and technical journal articles", - "World/Persian Gulf/AZE/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/BGD/Economy/Secondary income receipts (BoP, current US$)", - "World/Latam/CHL/Economy/Secondary income receipts (BoP, current US$)", - "World/South Africa/CMR/Economy/Secondary income receipts (BoP, current US$)", - "World/Latam/COL/Economy/Secondary income receipts (BoP, current US$)", - "World/Latam/CRI/Economy/Secondary income receipts (BoP, current US$)", - "World/Europe/DEU/Economy/Secondary income receipts (BoP, current US$)", - "World/North Africa/DZA/Economy/Secondary income receipts (BoP, current US$)", - "World/North Africa/EGY/Economy/Secondary income receipts (BoP, current US$)", - "World/South Africa/GHA/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/IDN/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/IND/Economy/Secondary income receipts (BoP, current US$)", - "World/North Africa/ISR/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/KOR/Economy/Secondary income receipts (BoP, current US$)", - "World/North Africa/MAR/Economy/Secondary income receipts (BoP, current US$)", - "World/Latam/MEX/Economy/Secondary income receipts (BoP, current US$)", - "World/South Africa/NGA/Economy/Secondary income receipts (BoP, current US$)", - "World/Europe/NLD/Economy/Secondary income receipts (BoP, current US$)", - "World/Latam/PER/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/PHL/Economy/Secondary income receipts (BoP, current US$)", - "World/South Africa/SEN/Economy/Secondary income receipts (BoP, current US$)", - "World/Europe/SWE/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/THA/Economy/Secondary income receipts (BoP, current US$)", - "World/Pair/USA/Economy/Secondary income receipts (BoP, current US$)", - "World/Asia/VNM/Economy/Secondary income receipts (BoP, current US$)", - "World/Persian Gulf/YEM/Economy/Secondary income receipts (BoP, current US$)", - "World/South Africa/ZAF/Economy/Secondary income receipts (BoP, current US$)", - "World/Europe/AUT/Exports/Service exports (BoP, current US$)", - "World/Persian Gulf/AZE/Exports/Service exports (BoP, current US$)", - "World/Asia/BGD/Exports/Service exports (BoP, current US$)", - "World/Latam/BRA/Exports/Service exports (BoP, current US$)", - "World/Latam/CHL/Exports/Service exports (BoP, current US$)", - "World/Pair/CHN/Exports/Service exports (BoP, current US$)", - "World/South Africa/CMR/Exports/Service exports (BoP, current US$)", - "World/Latam/COL/Exports/Service exports (BoP, current US$)", - "World/Latam/CRI/Exports/Service exports (BoP, current US$)", - "World/Europe/DEU/Exports/Service exports (BoP, current US$)", - "World/North Africa/DZA/Exports/Service exports (BoP, current US$)", - "World/Europe/ESP/Exports/Service exports (BoP, current US$)", - "World/Europe/FRA/Exports/Service exports (BoP, current US$)", - "World/Europe/GBR/Exports/Service exports (BoP, current US$)", - "World/South Africa/GHA/Exports/Service exports (BoP, current US$)", - "World/Europe/GRC/Exports/Service exports (BoP, current US$)", - "World/Europe/HRV/Exports/Service exports (BoP, current US$)", - "World/Asia/IDN/Exports/Service exports (BoP, current US$)", - "World/Asia/IND/Exports/Service exports (BoP, current US$)", - "World/North Africa/ISR/Exports/Service exports (BoP, current US$)", - "World/Asia/KOR/Exports/Service exports (BoP, current US$)", - "World/North Africa/MAR/Exports/Service exports (BoP, current US$)", - "World/Europe/NLD/Exports/Service exports (BoP, current US$)", - "World/Persian Gulf/OMN/Exports/Service exports (BoP, current US$)", - "World/Latam/PAN/Exports/Service exports (BoP, current US$)", - "World/Latam/PER/Exports/Service exports (BoP, current US$)", - "World/Asia/PHL/Exports/Service exports (BoP, current US$)", - "World/Europe/POL/Exports/Service exports (BoP, current US$)", - "World/Persian Gulf/QAT/Exports/Service exports (BoP, current US$)", - "World/Persian Gulf/SAU/Exports/Service exports (BoP, current US$)", - "World/South Africa/SEN/Exports/Service exports (BoP, current US$)", - "World/Europe/SWE/Exports/Service exports (BoP, current US$)", - "World/Asia/THA/Exports/Service exports (BoP, current US$)", - "World/North Africa/TUR/Exports/Service exports (BoP, current US$)", - "World/Pair/USA/Exports/Service exports (BoP, current US$)", - "World/Asia/VNM/Exports/Service exports (BoP, current US$)", - "World/South Africa/ZAF/Exports/Service exports (BoP, current US$)", - "World/Latam/ARG/Imports/Service imports (BoP, current US$)", - "World/Europe/AUT/Imports/Service imports (BoP, current US$)", - "World/Persian Gulf/AZE/Imports/Service imports (BoP, current US$)", - "World/Asia/BGD/Imports/Service imports (BoP, current US$)", - "World/Latam/BRA/Imports/Service imports (BoP, current US$)", - "World/Latam/CHL/Imports/Service imports (BoP, current US$)", - "World/Pair/CHN/Imports/Service imports (BoP, current US$)", - "World/South Africa/CMR/Imports/Service imports (BoP, current US$)", - "World/Latam/COL/Imports/Service imports (BoP, current US$)", - "World/Latam/CRI/Imports/Service imports (BoP, current US$)", - "World/Europe/DEU/Imports/Service imports (BoP, current US$)", - "World/North Africa/DZA/Imports/Service imports (BoP, current US$)", - "World/North Africa/EGY/Imports/Service imports (BoP, current US$)", - "World/Europe/ESP/Imports/Service imports (BoP, current US$)", - "World/Europe/FRA/Imports/Service imports (BoP, current US$)", - "World/Europe/GBR/Imports/Service imports (BoP, current US$)", - "World/South Africa/GHA/Imports/Service imports (BoP, current US$)", - "World/Europe/HRV/Imports/Service imports (BoP, current US$)", - "World/Asia/IDN/Imports/Service imports (BoP, current US$)", - "World/Asia/IND/Imports/Service imports (BoP, current US$)", - "World/North Africa/ISR/Imports/Service imports (BoP, current US$)", - "World/Asia/KOR/Imports/Service imports (BoP, current US$)", - "World/North Africa/MAR/Imports/Service imports (BoP, current US$)", - "World/Latam/MEX/Imports/Service imports (BoP, current US$)", - "World/South Africa/MOZ/Imports/Service imports (BoP, current US$)", - "World/South Africa/NGA/Imports/Service imports (BoP, current US$)", - "World/Europe/NLD/Imports/Service imports (BoP, current US$)", - "World/Persian Gulf/OMN/Imports/Service imports (BoP, current US$)", - "World/Latam/PAN/Imports/Service imports (BoP, current US$)", - "World/Latam/PER/Imports/Service imports (BoP, current US$)", - "World/Asia/PHL/Imports/Service imports (BoP, current US$)", - "World/Europe/POL/Imports/Service imports (BoP, current US$)", - "World/Persian Gulf/QAT/Imports/Service imports (BoP, current US$)", - "World/South Africa/SEN/Imports/Service imports (BoP, current US$)", - "World/Europe/SWE/Imports/Service imports (BoP, current US$)", - "World/Asia/THA/Imports/Service imports (BoP, current US$)", - "World/North Africa/TUR/Imports/Service imports (BoP, current US$)", - "World/Pair/USA/Imports/Service imports (BoP, current US$)", - "World/Asia/VNM/Imports/Service imports (BoP, current US$)", - "World/South Africa/ZAF/Imports/Service imports (BoP, current US$)", - "World/Persian Gulf/ARE/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Europe/AUT/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/BGD/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/BRA/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/CHL/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Pair/CHN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/COL/Mortality/Suicide mortality rate (per 100,000 population)", - "World/North Africa/DZA/Mortality/Suicide mortality rate (per 100,000 population)", - "World/North Africa/EGY/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/IDN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/IND/Mortality/Suicide mortality rate (per 100,000 population)", - "World/North Africa/MAR/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/MEX/Mortality/Suicide mortality rate (per 100,000 population)", - "World/South Africa/NGA/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/PAN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/PHL/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Europe/POL/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Persian Gulf/QAT/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Persian Gulf/SAU/Mortality/Suicide mortality rate (per 100,000 population)", - "World/South Africa/SEN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/North Africa/TUR/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Pair/USA/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/VEN/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Asia/VNM/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Persian Gulf/YEM/Mortality/Suicide mortality rate (per 100,000 population)", - "World/Latam/ARG/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/AUT/Taxes/Taxes less subsidies on products (current US$)", - "World/Persian Gulf/AZE/Taxes/Taxes less subsidies on products (current US$)", - "World/Asia/BGD/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/BRA/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/CHL/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/CMR/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/COL/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/CRI/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/DEU/Taxes/Taxes less subsidies on products (current US$)", - "World/North Africa/DZA/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/ESP/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/FRA/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/GBR/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/GHA/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/GRC/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/HRV/Taxes/Taxes less subsidies on products (current US$)", - "World/Asia/IND/Taxes/Taxes less subsidies on products (current US$)", - "World/North Africa/ISR/Taxes/Taxes less subsidies on products (current US$)", - "World/Asia/KOR/Taxes/Taxes less subsidies on products (current US$)", - "World/North Africa/MAR/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/MEX/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/MOZ/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/NGA/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/NLD/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/PAN/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/PER/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/POL/Taxes/Taxes less subsidies on products (current US$)", - "World/Persian Gulf/SAU/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/SEN/Taxes/Taxes less subsidies on products (current US$)", - "World/Europe/SWE/Taxes/Taxes less subsidies on products (current US$)", - "World/North Africa/TUR/Taxes/Taxes less subsidies on products (current US$)", - "World/Pair/USA/Taxes/Taxes less subsidies on products (current US$)", - "World/Latam/VEN/Taxes/Taxes less subsidies on products (current US$)", - "World/Asia/VNM/Taxes/Taxes less subsidies on products (current US$)", - "World/Persian Gulf/YEM/Taxes/Taxes less subsidies on products (current US$)", - "World/South Africa/ZAF/Taxes/Taxes less subsidies on products (current US$)", - "World/Persian Gulf/AZE/Economy/Taxes on international trade (% of revenue)", - "World/Latam/CHL/Economy/Taxes on international trade (% of revenue)", - "World/Pair/CHN/Economy/Taxes on international trade (% of revenue)", - "World/South Africa/CMR/Economy/Taxes on international trade (% of revenue)", - "World/Latam/COL/Economy/Taxes on international trade (% of revenue)", - "World/North Africa/EGY/Economy/Taxes on international trade (% of revenue)", - "World/Europe/ESP/Economy/Taxes on international trade (% of revenue)", - "World/South Africa/GHA/Economy/Taxes on international trade (% of revenue)", - "World/Europe/HRV/Economy/Taxes on international trade (% of revenue)", - "World/Asia/IND/Economy/Taxes on international trade (% of revenue)", - "World/Asia/KOR/Economy/Taxes on international trade (% of revenue)", - "World/North Africa/MAR/Economy/Taxes on international trade (% of revenue)", - "World/Latam/MEX/Economy/Taxes on international trade (% of revenue)", - "World/Latam/PAN/Economy/Taxes on international trade (% of revenue)", - "World/Latam/PER/Economy/Taxes on international trade (% of revenue)", - "World/Europe/POL/Economy/Taxes on international trade (% of revenue)", - "World/Asia/THA/Economy/Taxes on international trade (% of revenue)", - "World/Latam/ARG/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/AUT/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Asia/BGD/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/CHL/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Pair/CHN/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/COL/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/CRI/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/DEU/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/North Africa/DZA/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/ESP/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/FRA/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/GBR/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/GRC/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/North Africa/ISR/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Asia/KOR/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/North Africa/MAR/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/MEX/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Persian Gulf/OMN/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Latam/PER/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/POL/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Europe/SWE/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Pair/USA/Industry/Textiles and clothing (% of value added in manufacturing)", - "World/Persian Gulf/ARE/Industry/Time required to start a business (days)", - "World/Persian Gulf/AZE/Industry/Time required to start a business (days)", - "World/Latam/CHL/Industry/Time required to start a business (days)", - "World/Pair/CHN/Industry/Time required to start a business (days)", - "World/South Africa/CMR/Industry/Time required to start a business (days)", - "World/Latam/COL/Industry/Time required to start a business (days)", - "World/Latam/CRI/Industry/Time required to start a business (days)", - "World/Europe/DEU/Industry/Time required to start a business (days)", - "World/North Africa/DZA/Industry/Time required to start a business (days)", - "World/Europe/ESP/Industry/Time required to start a business (days)", - "World/Europe/FRA/Industry/Time required to start a business (days)", - "World/Europe/GBR/Industry/Time required to start a business (days)", - "World/Asia/IND/Industry/Time required to start a business (days)", - "World/Asia/KOR/Industry/Time required to start a business (days)", - "World/South Africa/LBR/Industry/Time required to start a business (days)", - "World/North Africa/MAR/Industry/Time required to start a business (days)", - "World/South Africa/MOZ/Industry/Time required to start a business (days)", - "World/Europe/NLD/Industry/Time required to start a business (days)", - "World/Persian Gulf/OMN/Industry/Time required to start a business (days)", - "World/Latam/PAN/Industry/Time required to start a business (days)", - "World/Latam/PER/Industry/Time required to start a business (days)", - "World/Europe/POL/Industry/Time required to start a business (days)", - "World/Persian Gulf/SAU/Industry/Time required to start a business (days)", - "World/South Africa/SEN/Industry/Time required to start a business (days)", - "World/Asia/THA/Industry/Time required to start a business (days)", - "World/Latam/VEN/Industry/Time required to start a business (days)", - "World/Asia/VNM/Industry/Time required to start a business (days)", - "World/Persian Gulf/YEM/Industry/Time required to start a business (days)", - "World/South Africa/ZAF/Industry/Time required to start a business (days)", - "World/Latam/ARG/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Persian Gulf/AZE/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/BGD/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/CHL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/COL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/CRI/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/North Africa/EGY/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/GHA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Europe/GRC/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Europe/HRV/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/IDN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/IND/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/LBR/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/MEX/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/MOZ/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/NGA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/PAN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/PER/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/PHL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Europe/POL/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/SEN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/THA/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/North Africa/TUR/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/VEN/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Asia/VNM/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Persian Gulf/YEM/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/South Africa/ZAF/R&D/Time spent dealing with the requirements of government regulations (% of senior management time)", - "World/Latam/ARG/R&D/Time to obtain an electrical connection (days)", - "World/Asia/BGD/R&D/Time to obtain an electrical connection (days)", - "World/Latam/CHL/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/CMR/R&D/Time to obtain an electrical connection (days)", - "World/Latam/COL/R&D/Time to obtain an electrical connection (days)", - "World/Latam/CRI/R&D/Time to obtain an electrical connection (days)", - "World/North Africa/EGY/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/GHA/R&D/Time to obtain an electrical connection (days)", - "World/Europe/GRC/R&D/Time to obtain an electrical connection (days)", - "World/Asia/IDN/R&D/Time to obtain an electrical connection (days)", - "World/Asia/IND/R&D/Time to obtain an electrical connection (days)", - "World/North Africa/MAR/R&D/Time to obtain an electrical connection (days)", - "World/Latam/MEX/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/MOZ/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/NGA/R&D/Time to obtain an electrical connection (days)", - "World/Latam/PAN/R&D/Time to obtain an electrical connection (days)", - "World/Latam/PER/R&D/Time to obtain an electrical connection (days)", - "World/Asia/PHL/R&D/Time to obtain an electrical connection (days)", - "World/Europe/POL/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/SEN/R&D/Time to obtain an electrical connection (days)", - "World/North Africa/TUR/R&D/Time to obtain an electrical connection (days)", - "World/Latam/VEN/R&D/Time to obtain an electrical connection (days)", - "World/Asia/VNM/R&D/Time to obtain an electrical connection (days)", - "World/South Africa/ZAF/R&D/Time to obtain an electrical connection (days)", - "World/Persian Gulf/ARE/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/ARG/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/AUT/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/AZE/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/BGD/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/BRA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/CHL/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Pair/CHN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/CRI/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/North Africa/EGY/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/GBR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/South Africa/GHA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/HRV/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/IND/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/North Africa/ISR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/KOR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/North Africa/MAR/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/MEX/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/South Africa/MOZ/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/South Africa/NGA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/NLD/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/OMN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/PAN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Europe/POL/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/QAT/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/THA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Pair/USA/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Latam/VEN/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Asia/VNM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/YEM/A&D/Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "World/Persian Gulf/ARE/Industry/Total fisheries production (metric tons)", - "World/Persian Gulf/AZE/Industry/Total fisheries production (metric tons)", - "World/Asia/BGD/Industry/Total fisheries production (metric tons)", - "World/Latam/BRA/Industry/Total fisheries production (metric tons)", - "World/Latam/CHL/Industry/Total fisheries production (metric tons)", - "World/Pair/CHN/Industry/Total fisheries production (metric tons)", - "World/South Africa/CMR/Industry/Total fisheries production (metric tons)", - "World/Latam/CRI/Industry/Total fisheries production (metric tons)", - "World/North Africa/EGY/Industry/Total fisheries production (metric tons)", - "World/Europe/HRV/Industry/Total fisheries production (metric tons)", - "World/Asia/IDN/Industry/Total fisheries production (metric tons)", - "World/Asia/IND/Industry/Total fisheries production (metric tons)", - "World/North Africa/ISR/Industry/Total fisheries production (metric tons)", - "World/North Africa/MAR/Industry/Total fisheries production (metric tons)", - "World/Latam/MEX/Industry/Total fisheries production (metric tons)", - "World/South Africa/MOZ/Industry/Total fisheries production (metric tons)", - "World/South Africa/NGA/Industry/Total fisheries production (metric tons)", - "World/Persian Gulf/OMN/Industry/Total fisheries production (metric tons)", - "World/Asia/PHL/Industry/Total fisheries production (metric tons)", - "World/Europe/POL/Industry/Total fisheries production (metric tons)", - "World/Persian Gulf/SAU/Industry/Total fisheries production (metric tons)", - "World/Asia/THA/Industry/Total fisheries production (metric tons)", - "World/Asia/VNM/Industry/Total fisheries production (metric tons)", - "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/BGD/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Latam/CHL/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Pair/CHN/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Latam/CRI/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/DZA/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/EGY/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Europe/GBR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Europe/HRV/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/IND/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/IRQ/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/ISR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/KOR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/MAR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Latam/MEX/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Europe/NLD/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Latam/PAN/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/PHL/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Europe/SWE/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/THA/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/North Africa/TUR/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Pair/USA/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Asia/VNM/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/YEM/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (% change from 1990)", - "World/Persian Gulf/ARE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/AZE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/BGD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/BRA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/CHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Pair/CHN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/CMR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/COL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/CRI/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/DEU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/DZA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/EGY/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/GBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/GHA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/GRC/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/IDN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/IND/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/ISR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/KOR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/LBR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/MAR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/MEX/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/MOZ/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/NGA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/NLD/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/OMN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/PAN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Latam/PER/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/PHL/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/QAT/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/SAU/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/SEN/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Europe/SWE/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/THA/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/North Africa/TUR/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Asia/VNM/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/South Africa/ZAF/Environment/Total greenhouse gas emissions (kt of CO2 equivalent)", - "World/Persian Gulf/ARE/Economy/Total reserves (includes gold, current US$)", - "World/Asia/BGD/Economy/Total reserves (includes gold, current US$)", - "World/Latam/BRA/Economy/Total reserves (includes gold, current US$)", - "World/Latam/CHL/Economy/Total reserves (includes gold, current US$)", - "World/Pair/CHN/Economy/Total reserves (includes gold, current US$)", - "World/Latam/COL/Economy/Total reserves (includes gold, current US$)", - "World/Latam/CRI/Economy/Total reserves (includes gold, current US$)", - "World/North Africa/DZA/Economy/Total reserves (includes gold, current US$)", - "World/Europe/ESP/Economy/Total reserves (includes gold, current US$)", - "World/Europe/FRA/Economy/Total reserves (includes gold, current US$)", - "World/Europe/GBR/Economy/Total reserves (includes gold, current US$)", - "World/South Africa/GHA/Economy/Total reserves (includes gold, current US$)", - "World/Asia/IDN/Economy/Total reserves (includes gold, current US$)", - "World/Asia/IND/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/IRQ/Economy/Total reserves (includes gold, current US$)", - "World/North Africa/ISR/Economy/Total reserves (includes gold, current US$)", - "World/Asia/KOR/Economy/Total reserves (includes gold, current US$)", - "World/South Africa/LBR/Economy/Total reserves (includes gold, current US$)", - "World/North Africa/MAR/Economy/Total reserves (includes gold, current US$)", - "World/Latam/MEX/Economy/Total reserves (includes gold, current US$)", - "World/South Africa/MOZ/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/OMN/Economy/Total reserves (includes gold, current US$)", - "World/Latam/PAN/Economy/Total reserves (includes gold, current US$)", - "World/Latam/PER/Economy/Total reserves (includes gold, current US$)", - "World/Asia/PHL/Economy/Total reserves (includes gold, current US$)", - "World/Europe/POL/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/QAT/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/SAU/Economy/Total reserves (includes gold, current US$)", - "World/Europe/SWE/Economy/Total reserves (includes gold, current US$)", - "World/Asia/THA/Economy/Total reserves (includes gold, current US$)", - "World/North Africa/TUR/Economy/Total reserves (includes gold, current US$)", - "World/Pair/USA/Economy/Total reserves (includes gold, current US$)", - "World/Latam/VEN/Economy/Total reserves (includes gold, current US$)", - "World/Asia/VNM/Economy/Total reserves (includes gold, current US$)", - "World/South Africa/ZAF/Economy/Total reserves (includes gold, current US$)", - "World/Persian Gulf/ARE/Economy/Total reserves minus gold (current US$)", - "World/Asia/BGD/Economy/Total reserves minus gold (current US$)", - "World/Latam/BRA/Economy/Total reserves minus gold (current US$)", - "World/Latam/CHL/Economy/Total reserves minus gold (current US$)", - "World/Pair/CHN/Economy/Total reserves minus gold (current US$)", - "World/Latam/COL/Economy/Total reserves minus gold (current US$)", - "World/Latam/CRI/Economy/Total reserves minus gold (current US$)", - "World/North Africa/DZA/Economy/Total reserves minus gold (current US$)", - "World/Europe/FRA/Economy/Total reserves minus gold (current US$)", - "World/Europe/GBR/Economy/Total reserves minus gold (current US$)", - "World/South Africa/GHA/Economy/Total reserves minus gold (current US$)", - "World/Asia/IDN/Economy/Total reserves minus gold (current US$)", - "World/Asia/IND/Economy/Total reserves minus gold (current US$)", - "World/Persian Gulf/IRQ/Economy/Total reserves minus gold (current US$)", - "World/North Africa/ISR/Economy/Total reserves minus gold (current US$)", - "World/Asia/KOR/Economy/Total reserves minus gold (current US$)", - "World/South Africa/LBR/Economy/Total reserves minus gold (current US$)", - "World/North Africa/MAR/Economy/Total reserves minus gold (current US$)", - "World/Latam/MEX/Economy/Total reserves minus gold (current US$)", - "World/South Africa/MOZ/Economy/Total reserves minus gold (current US$)", - "World/Persian Gulf/OMN/Economy/Total reserves minus gold (current US$)", - "World/Latam/PAN/Economy/Total reserves minus gold (current US$)", - "World/Latam/PER/Economy/Total reserves minus gold (current US$)", - "World/Asia/PHL/Economy/Total reserves minus gold (current US$)", - "World/Europe/POL/Economy/Total reserves minus gold (current US$)", - "World/Persian Gulf/QAT/Economy/Total reserves minus gold (current US$)", - "World/Persian Gulf/SAU/Economy/Total reserves minus gold (current US$)", - "World/Europe/SWE/Economy/Total reserves minus gold (current US$)", - "World/Asia/THA/Economy/Total reserves minus gold (current US$)", - "World/North Africa/TUR/Economy/Total reserves minus gold (current US$)", - "World/Latam/VEN/Economy/Total reserves minus gold (current US$)", - "World/Asia/VNM/Economy/Total reserves minus gold (current US$)", - "World/South Africa/ZAF/Economy/Total reserves minus gold (current US$)", - "World/Latam/ARG/Health/UHC service coverage index", - "World/Europe/AUT/Health/UHC service coverage index", - "World/Persian Gulf/AZE/Health/UHC service coverage index", - "World/Asia/BGD/Health/UHC service coverage index", - "World/Latam/BRA/Health/UHC service coverage index", - "World/Latam/CHL/Health/UHC service coverage index", - "World/Pair/CHN/Health/UHC service coverage index", - "World/South Africa/CMR/Health/UHC service coverage index", - "World/Latam/COL/Health/UHC service coverage index", - "World/Latam/CRI/Health/UHC service coverage index", - "World/Europe/DEU/Health/UHC service coverage index", - "World/North Africa/DZA/Health/UHC service coverage index", - "World/North Africa/EGY/Health/UHC service coverage index", - "World/Europe/ESP/Health/UHC service coverage index", - "World/Europe/FRA/Health/UHC service coverage index", - "World/Europe/GBR/Health/UHC service coverage index", - "World/South Africa/GHA/Health/UHC service coverage index", - "World/Europe/GRC/Health/UHC service coverage index", - "World/Europe/HRV/Health/UHC service coverage index", - "World/Asia/IDN/Health/UHC service coverage index", - "World/Asia/IND/Health/UHC service coverage index", - "World/Persian Gulf/IRQ/Health/UHC service coverage index", - "World/North Africa/ISR/Health/UHC service coverage index", - "World/Asia/KOR/Health/UHC service coverage index", - "World/South Africa/LBR/Health/UHC service coverage index", - "World/North Africa/MAR/Health/UHC service coverage index", - "World/Latam/MEX/Health/UHC service coverage index", - "World/South Africa/MOZ/Health/UHC service coverage index", - "World/South Africa/NGA/Health/UHC service coverage index", - "World/Europe/NLD/Health/UHC service coverage index", - "World/Persian Gulf/OMN/Health/UHC service coverage index", - "World/Latam/PAN/Health/UHC service coverage index", - "World/Latam/PER/Health/UHC service coverage index", - "World/Asia/PHL/Health/UHC service coverage index", - "World/Europe/POL/Health/UHC service coverage index", - "World/Persian Gulf/QAT/Health/UHC service coverage index", - "World/South Africa/SEN/Health/UHC service coverage index", - "World/Europe/SWE/Health/UHC service coverage index", - "World/Asia/THA/Health/UHC service coverage index", - "World/North Africa/TUR/Health/UHC service coverage index", - "World/Pair/USA/Health/UHC service coverage index", - "World/Latam/VEN/Health/UHC service coverage index", - "World/Asia/VNM/Health/UHC service coverage index", - "World/Persian Gulf/YEM/Health/UHC service coverage index", - "World/South Africa/ZAF/Health/UHC service coverage index", - "World/Persian Gulf/ARE/Demography/Urban population", - "World/Latam/ARG/Demography/Urban population", - "World/Persian Gulf/AZE/Demography/Urban population", - "World/Asia/BGD/Demography/Urban population", - "World/Latam/BRA/Demography/Urban population", - "World/Latam/CHL/Demography/Urban population", - "World/Pair/CHN/Demography/Urban population", - "World/South Africa/CMR/Demography/Urban population", - "World/Latam/COL/Demography/Urban population", - "World/Latam/CRI/Demography/Urban population", - "World/North Africa/DZA/Demography/Urban population", - "World/North Africa/EGY/Demography/Urban population", - "World/Europe/ESP/Demography/Urban population", - "World/Europe/FRA/Demography/Urban population", - "World/Europe/GBR/Demography/Urban population", - "World/South Africa/GHA/Demography/Urban population", - "World/Asia/IDN/Demography/Urban population", - "World/Asia/IND/Demography/Urban population", - "World/North Africa/ISR/Demography/Urban population", - "World/Asia/KOR/Demography/Urban population", - "World/South Africa/LBR/Demography/Urban population", - "World/North Africa/MAR/Demography/Urban population", - "World/Latam/MEX/Demography/Urban population", - "World/South Africa/MOZ/Demography/Urban population", - "World/South Africa/NGA/Demography/Urban population", - "World/Europe/NLD/Demography/Urban population", - "World/Persian Gulf/OMN/Demography/Urban population", - "World/Latam/PAN/Demography/Urban population", - "World/Latam/PER/Demography/Urban population", - "World/Asia/PHL/Demography/Urban population", - "World/Europe/POL/Demography/Urban population", - "World/Persian Gulf/QAT/Demography/Urban population", - "World/Persian Gulf/SAU/Demography/Urban population", - "World/South Africa/SEN/Demography/Urban population", - "World/Asia/THA/Demography/Urban population", - "World/North Africa/TUR/Demography/Urban population", - "World/Pair/USA/Demography/Urban population", - "World/Latam/VEN/Demography/Urban population", - "World/Asia/VNM/Demography/Urban population", - "World/Persian Gulf/YEM/Demography/Urban population", - "World/South Africa/ZAF/Demography/Urban population", - "World/Persian Gulf/ARE/Demography/Urban population (% of total population)", - "World/Latam/ARG/Demography/Urban population (% of total population)", - "World/Persian Gulf/AZE/Demography/Urban population (% of total population)", - "World/Asia/BGD/Demography/Urban population (% of total population)", - "World/Latam/BRA/Demography/Urban population (% of total population)", - "World/Latam/CHL/Demography/Urban population (% of total population)", - "World/Pair/CHN/Demography/Urban population (% of total population)", - "World/South Africa/CMR/Demography/Urban population (% of total population)", - "World/Latam/COL/Demography/Urban population (% of total population)", - "World/Latam/CRI/Demography/Urban population (% of total population)", - "World/Europe/DEU/Demography/Urban population (% of total population)", - "World/North Africa/DZA/Demography/Urban population (% of total population)", - "World/Europe/ESP/Demography/Urban population (% of total population)", - "World/Europe/FRA/Demography/Urban population (% of total population)", - "World/Europe/GBR/Demography/Urban population (% of total population)", - "World/South Africa/GHA/Demography/Urban population (% of total population)", - "World/Europe/GRC/Demography/Urban population (% of total population)", - "World/Europe/HRV/Demography/Urban population (% of total population)", - "World/Asia/IDN/Demography/Urban population (% of total population)", - "World/Asia/IND/Demography/Urban population (% of total population)", - "World/Persian Gulf/IRQ/Demography/Urban population (% of total population)", - "World/North Africa/ISR/Demography/Urban population (% of total population)", - "World/South Africa/LBR/Demography/Urban population (% of total population)", - "World/North Africa/MAR/Demography/Urban population (% of total population)", - "World/Latam/MEX/Demography/Urban population (% of total population)", - "World/South Africa/MOZ/Demography/Urban population (% of total population)", - "World/South Africa/NGA/Demography/Urban population (% of total population)", - "World/Europe/NLD/Demography/Urban population (% of total population)", - "World/Persian Gulf/OMN/Demography/Urban population (% of total population)", - "World/Latam/PAN/Demography/Urban population (% of total population)", - "World/Latam/PER/Demography/Urban population (% of total population)", - "World/Europe/POL/Demography/Urban population (% of total population)", - "World/Persian Gulf/QAT/Demography/Urban population (% of total population)", - "World/Persian Gulf/SAU/Demography/Urban population (% of total population)", - "World/South Africa/SEN/Demography/Urban population (% of total population)", - "World/Asia/THA/Demography/Urban population (% of total population)", - "World/North Africa/TUR/Demography/Urban population (% of total population)", - "World/Pair/USA/Demography/Urban population (% of total population)", - "World/Latam/VEN/Demography/Urban population (% of total population)", - "World/Asia/VNM/Demography/Urban population (% of total population)", - "World/Persian Gulf/YEM/Demography/Urban population (% of total population)", - "World/South Africa/ZAF/Demography/Urban population (% of total population)", - "World/Europe/AUT/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Persian Gulf/AZE/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/BGD/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/CHL/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Pair/CHN/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/COL/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/CRI/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/DEU/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/DZA/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/EGY/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/GBR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/South Africa/GHA/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/HRV/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/IND/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/ISR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/KOR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/MAR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/MEX/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/South Africa/MOZ/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/South Africa/NGA/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/NLD/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/PAN/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/PER/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/PHL/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/POL/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Persian Gulf/SAU/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Europe/SWE/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/THA/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/North Africa/TUR/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Latam/VEN/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Asia/VNM/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Persian Gulf/YEM/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/South Africa/ZAF/Equality/Women Business and the Law Index Score (scale 1-100)", - "World/Persian Gulf/ARE/A&D", - "World/Latam/ARG/A&D", - "World/Europe/AUT/A&D", - "World/Persian Gulf/AZE/A&D", - "World/Asia/BGD/A&D", - "World/Latam/BRA/A&D", - "World/Latam/CHL/A&D", - "World/Pair/CHN/A&D", - "World/Latam/CRI/A&D", - "World/North Africa/EGY/A&D", - "World/Europe/GBR/A&D", - "World/South Africa/GHA/A&D", - "World/Europe/HRV/A&D", - "World/Asia/IND/A&D", - "World/North Africa/ISR/A&D", - "World/Asia/KOR/A&D", - "World/North Africa/MAR/A&D", - "World/Latam/MEX/A&D", - "World/South Africa/MOZ/A&D", - "World/South Africa/NGA/A&D", - "World/Europe/NLD/A&D", - "World/Persian Gulf/OMN/A&D", - "World/Latam/PAN/A&D", - "World/Europe/POL/A&D", - "World/Persian Gulf/QAT/A&D", - "World/Asia/THA/A&D", - "World/Pair/USA/A&D", - "World/Latam/VEN/A&D", - "World/Asia/VNM/A&D", - "World/Persian Gulf/YEM/A&D", - "World/Persian Gulf/ARE/Agriculture", - "World/Latam/ARG/Agriculture", - "World/Europe/AUT/Agriculture", - "World/Persian Gulf/AZE/Agriculture", - "World/Asia/BGD/Agriculture", - "World/Latam/BRA/Agriculture", - "World/Latam/CHL/Agriculture", - "World/Pair/CHN/Agriculture", - "World/South Africa/CMR/Agriculture", - "World/Latam/COL/Agriculture", - "World/Latam/CRI/Agriculture", - "World/Europe/DEU/Agriculture", - "World/North Africa/DZA/Agriculture", - "World/North Africa/EGY/Agriculture", - "World/Europe/ESP/Agriculture", - "World/Europe/FRA/Agriculture", - "World/South Africa/GHA/Agriculture", - "World/Europe/GRC/Agriculture", - "World/Europe/HRV/Agriculture", - "World/Asia/IDN/Agriculture", - "World/Asia/IND/Agriculture", - "World/North Africa/ISR/Agriculture", - "World/Asia/KOR/Agriculture", - "World/South Africa/LBR/Agriculture", - "World/North Africa/MAR/Agriculture", - "World/Latam/MEX/Agriculture", - "World/South Africa/MOZ/Agriculture", - "World/South Africa/NGA/Agriculture", - "World/Europe/NLD/Agriculture", - "World/Persian Gulf/OMN/Agriculture", - "World/Latam/PAN/Agriculture", - "World/Latam/PER/Agriculture", - "World/Asia/PHL/Agriculture", - "World/Europe/POL/Agriculture", - "World/Persian Gulf/QAT/Agriculture", - "World/Persian Gulf/SAU/Agriculture", - "World/South Africa/SEN/Agriculture", - "World/Europe/SWE/Agriculture", - "World/Asia/THA/Agriculture", - "World/North Africa/TUR/Agriculture", - "World/Pair/USA/Agriculture", - "World/Latam/VEN/Agriculture", - "World/Asia/VNM/Agriculture", - "World/Persian Gulf/YEM/Agriculture", - "World/South Africa/ZAF/Agriculture", - "World/Persian Gulf/ARE/Demography", - "World/Latam/ARG/Demography", - "World/Europe/AUT/Demography", - "World/Persian Gulf/AZE/Demography", - "World/Asia/BGD/Demography", - "World/Latam/BRA/Demography", - "World/Latam/CHL/Demography", - "World/Pair/CHN/Demography", - "World/South Africa/CMR/Demography", - "World/Latam/COL/Demography", - "World/Latam/CRI/Demography", - "World/Europe/DEU/Demography", - "World/North Africa/DZA/Demography", - "World/North Africa/EGY/Demography", - "World/Europe/ESP/Demography", - "World/Europe/FRA/Demography", - "World/Europe/GBR/Demography", - "World/South Africa/GHA/Demography", - "World/Europe/GRC/Demography", - "World/Europe/HRV/Demography", - "World/Asia/IDN/Demography", - "World/Asia/IND/Demography", - "World/Persian Gulf/IRQ/Demography", - "World/North Africa/ISR/Demography", - "World/Asia/KOR/Demography", - "World/South Africa/LBR/Demography", - "World/North Africa/MAR/Demography", - "World/Latam/MEX/Demography", - "World/South Africa/MOZ/Demography", - "World/South Africa/NGA/Demography", - "World/Europe/NLD/Demography", - "World/Persian Gulf/OMN/Demography", - "World/Latam/PAN/Demography", - "World/Latam/PER/Demography", - "World/Asia/PHL/Demography", - "World/Europe/POL/Demography", - "World/Persian Gulf/QAT/Demography", - "World/Persian Gulf/SAU/Demography", - "World/South Africa/SEN/Demography", - "World/Europe/SWE/Demography", - "World/Asia/THA/Demography", - "World/North Africa/TUR/Demography", - "World/Pair/USA/Demography", - "World/Latam/VEN/Demography", - "World/Asia/VNM/Demography", - "World/Persian Gulf/YEM/Demography", - "World/South Africa/ZAF/Demography", - "World/Latam/ARG/Demoraphy", - "World/Asia/BGD/Demoraphy", - "World/Latam/BRA/Demoraphy", - "World/South Africa/CMR/Demoraphy", - "World/Latam/COL/Demoraphy", - "World/Latam/CRI/Demoraphy", - "World/North Africa/DZA/Demoraphy", - "World/North Africa/EGY/Demoraphy", - "World/South Africa/GHA/Demoraphy", - "World/Asia/IND/Demoraphy", - "World/South Africa/LBR/Demoraphy", - "World/North Africa/MAR/Demoraphy", - "World/Latam/MEX/Demoraphy", - "World/South Africa/MOZ/Demoraphy", - "World/South Africa/NGA/Demoraphy", - "World/Latam/PAN/Demoraphy", - "World/Latam/PER/Demoraphy", - "World/Asia/PHL/Demoraphy", - "World/North Africa/TUR/Demoraphy", - "World/Latam/VEN/Demoraphy", - "World/Asia/VNM/Demoraphy", - "World/Persian Gulf/ARE/Economy", - "World/Latam/ARG/Economy", - "World/Europe/AUT/Economy", - "World/Persian Gulf/AZE/Economy", - "World/Asia/BGD/Economy", - "World/Latam/BRA/Economy", - "World/Latam/CHL/Economy", - "World/Pair/CHN/Economy", - "World/South Africa/CMR/Economy", - "World/Latam/COL/Economy", - "World/Latam/CRI/Economy", - "World/Europe/DEU/Economy", - 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"Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Agricultural raw materials imports (% of merchandise imports)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Aquaculture production (metric tons)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (% of land area)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares per person)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Arable land (hectares)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Automated teller machines (ATMs) (per 100,000 adults)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Births attended by skilled health staff (% of total)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "Broad money (% of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2015 US$ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per 2017 PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kg per PPP $ of GDP)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (kt)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions (metric tons per capita)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from gaseous fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from liquid fuel consumption (kt)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Capture fisheries production (metric tons)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Cereal yield (kg per hectare)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Combustible renewables and waste (% of total energy)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial bank branches (per 100,000 adults)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service exports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Commercial service imports (current US$)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Completeness of birth registration (%)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Consumer price index (2010 = 100)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Container port traffic (TEU: 20 foot equivalent units)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Crop production index (2014-2016 = 100)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure (% of GDP)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Current health expenditure per capita (current US$)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Customs and other import duties (% of tax revenue)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic credit to private sector by banks (% of GDP)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic general government health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Domestic private health expenditure per capita (current US$)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Electric power consumption (kWh per capita)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in agriculture (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in industry (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Employment in services (% of total employment) (modeled ILO estimate)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent per capita)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export unit value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export value index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Export volume index (2000 = 100)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (BoP, current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Exports of goods and services (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Final consumption expenditure (current US$)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms offering formal training (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance investment (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Firms using banks to finance working capital (% of firms)", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Fixed broadband subscriptions (per 100 people)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Food production index (2014-2016 = 100)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "Forest area (% of land area)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - "GDP deflator: linked series (base year varies by country)", - 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"Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "Gross value added at basic prices (GVA) (current US$)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "HFC gas emissions (thousand metric tons of CO2 equivalent)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Hospital beds (per 1,000 people)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "Households and NPISHs Final consumption expenditure (current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "ICT service exports (BoP, current US$)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import unit value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import value index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Import volume index (2000 = 100)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (BoP, current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Imports of goods and services (current US$)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Incidence of tuberculosis (per 100,000 people)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Industry (including construction), value added (current US$)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "Intentional homicides (per 100,000 people)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "International migrant stock (% of population)", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (%)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Lifetime risk of maternal death (1 in: rate varies by country)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Livestock production index (2014-2016 = 100)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Low-birthweight babies (% of births)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Market capitalization of listed domestic companies (current US$)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Maternal mortality ratio (modeled estimate, per 100,000 live births)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports by the reporting economy (current US$)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports by the reporting economy (current US$)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from high-income economies (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (% change from 1990)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions (kt of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Methane emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Military expenditure (current USD)", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Mobile cellular subscriptions (per 100 people)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Monetary Sector credit to private sector (% GDP)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Mortality caused by road traffic injury (per 100,000 population)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net barter terms of trade index (2000 = 100)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (BoP, current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net primary income (Net income from abroad) (current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (BoP, current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Net secondary income (Net current transfers from abroad) (current US$)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (% change from 1990)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 10-14 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 15-19 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 20-24 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of deaths ages 5-9 years", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of infant deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of maternal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of neonatal deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Number of under-five deaths", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - "Nurses and midwives (per 1,000 people)", - 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"Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "Out-of-pocket expenditure per capita (current US$)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People practicing open defecation (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic drinking water services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using at least basic sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "People using safely managed sanitation services (% of population)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - "Permanent cropland (% of land area)", - 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"Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among adolescents ages 15-19 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among children ages 5-9 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - "Probability of dying among youth ages 20-24 years (per 1,000)", - 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"Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service exports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Service imports (BoP, current US$)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Suicide mortality rate (per 100,000 population)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes less subsidies on products (current US$)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Taxes on international trade (% of revenue)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Textiles and clothing (% of value added in manufacturing)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time required to start a business (days)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time spent dealing with the requirements of government regulations (% of senior management time)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Time to obtain an electrical connection (days)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total fisheries production (metric tons)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (% change from 1990)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total greenhouse gas emissions (kt of CO2 equivalent)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves (includes gold, current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "Total reserves minus gold (current US$)", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "UHC service coverage index", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Urban population (% of total population)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - "Women Business and the Law Index Score (scale 1-100)", - 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#TREEMAP: Graph for seeing the correlation worldwide.\n", + "\n", + "#By indicator.\n", + "\n", + "fig2=px.treemap(selected_primary,path=['Indicator','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu_r')\n", + "\n", + "fig2.show()\n", + "\n", + "#By continent\n", + "\n", + "fig2d=px.treemap(selected_primary,path=['Continent','Country','Group'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu_r')\n", + "fig2d.show()\n", + "\n", + "#By group of interest\n", + "\n", + "fig2dd=px.treemap(selected_primary,path=['Group','Continent','Country'],values='R^2 Spearman',color='R^2 Spearman',color_continuous_scale='RdBu_r')\n", + "\n", + "fig2dd.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "lastdf=final.dropna()\n", + "\n", + "lastdf.isna().sum()\n", + "\n", + "from ipywidgets import widgets, HBox\n", + "\n", + "out = widgets.Output()\n", + "\n", + "def output_treemap(path):\n", + "\n", + " figA = px.treemap(lastdf, path=path, values='R^2 Spearman',\n", + "\n", + " color='R^2 Spearman',\n", + "\n", + " color_continuous_scale='RdBu_r')\n", + "\n", + " figA.update_layout(margin = dict(t=50, l=25, r=25, b=25))\n", + "\n", + " out.clear_output(wait=True)\n", + "\n", + " with out:\n", + "\n", + " figA.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "path_1_dropdown = widgets.Dropdown(\n", + "\n", + " options=['Continent', 'Country','Group','Indicator'],\n", + "\n", + " value='Continent',\n", + "\n", + " description='Path 1',\n", + "\n", + " disabled=False,\n", + "\n", + ")\n", + "\n", + "path_2_dropdown = widgets.Dropdown(\n", + "\n", + " options=['Continent', 'Country','Group','Indicator'],\n", + "\n", + " value='Country',\n", + "\n", + " description='Path 2',\n", + "\n", + " disabled=False,\n", + "\n", + ")\n", + "\n", + "path_3_dropdown=widgets.Dropdown(\n", + "\n", + " options=['Continent', 'Country','Group','Indicator'],\n", + "\n", + " value='Group',\n", + "\n", + " description='Path 3',\n", + "\n", + " disabled=False,\n", + "\n", + ")\n", + "\n", + "path_4_dropdown=widgets.Dropdown(\n", + "\n", + " options=['Continent', 'Country','Group','Indicator'],\n", + "\n", + " value='Indicator',\n", + "\n", + " description='Path 4',\n", + "\n", + " disabled=False,\n", + "\n", + ")\n", + "\n", + "ok_button = widgets.Button(\n", + "\n", + " description='Ready to go',\n", + "\n", + " disabled=False,\n", + "\n", + " button_style='info', # 'success', 'info', 'warning', 'danger' or ''\n", + "\n", + " icon='check' # (FontAwesome names without the `fa-` prefix)\n", + "\n", + ")\n", + "\n", + "ok_button.on_click(lambda _: output_treemap([px.Constant(\"World\"), path_1_dropdown.value, path_2_dropdown.value,path_3_dropdown.value,path_4_dropdown.value]))" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "feee0f4cb986435db09003ffbb625805", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(Dropdown(description='Path 1', options=('Continent', 'Country', 'Group', 'Indicator'), value='C…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "20e40d9a00f846989c56c5c2bc8271e3", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] }, "metadata": {}, "output_type": "display_data" @@ -215473,13 +34647,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e154ff7a4c684bebb8a1f62906fac3fe", + "model_id": "1c0d4097f473414f859204345da95d46", "version_major": 2, "version_minor": 0 }, @@ -215493,7 +34667,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1436ccab37804d3e82fbc5b3bd07c8f9", + "model_id": "352b09b697b2410da7213568d23a6e38", "version_major": 2, "version_minor": 0 }, @@ -215513,7 +34687,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -215538,7 +34712,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -215639,7 +34813,7 @@ "Principal 23.0" ] }, - "execution_count": 88, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -215654,7 +34828,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ @@ -215675,7 +34849,286 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorR^2 SpearmanBehaviourCountryMovedTypeContinentNumber of times repeated_xGroupLevelNumber of times repeated_yMin
0Adolescent fertility rate (births per 1,000 wo...0.817804NegativeDEU1Does not applyEurope22Demographysecondary4024.0
1Adolescent fertility rate (births per 1,000 wo...0.759333NegativeSWE3Does not applyEurope22Demographysecondary4024.0
2Adolescent fertility rate (births per 1,000 wo...0.936963NegativeGBR13Does not applyEurope22Demographysecondary4024.0
3Adolescent fertility rate (births per 1,000 wo...0.786708NegativeHRV8Does not applyEurope22Demographysecondary4024.0
4Adolescent fertility rate (births per 1,000 wo...0.924056NegativePOL21Does not applyEurope22Demographysecondary4024.0
.......................................
4585Crop production index (2014-2016 = 100)0.851083PositiveCOL8Does not applyLatam21Agriculturesecondary2710.0
4586Crop production index (2014-2016 = 100)0.882284PositiveCHLDoes not applyCuadraticLatam21Agriculturesecondary2710.0
4587Crop production index (2014-2016 = 100)0.967446PositiveCRIDoes not applyCubicLatam21Agriculturesecondary2710.0
4588Crop production index (2014-2016 = 100)0.845314PositiveUSADoes not applyLinearPair21Agriculturesecondary2710.0
4589Crop production index (2014-2016 = 100)0.998717PositiveCHNDoes not applyCubicPair21Agriculturesecondary2710.0
\n", + "

4590 rows × 12 columns

\n", + "
" + ], + "text/plain": [ + " Indicator R^2 Spearman \\\n", + "0 Adolescent fertility rate (births per 1,000 wo... 0.817804 \n", + "1 Adolescent fertility rate (births per 1,000 wo... 0.759333 \n", + "2 Adolescent fertility rate (births per 1,000 wo... 0.936963 \n", + "3 Adolescent fertility rate (births per 1,000 wo... 0.786708 \n", + "4 Adolescent fertility rate (births per 1,000 wo... 0.924056 \n", + "... ... ... \n", + "4585 Crop production index (2014-2016 = 100) 0.851083 \n", + "4586 Crop production index (2014-2016 = 100) 0.882284 \n", + "4587 Crop production index (2014-2016 = 100) 0.967446 \n", + "4588 Crop production index (2014-2016 = 100) 0.845314 \n", + "4589 Crop production index (2014-2016 = 100) 0.998717 \n", + "\n", + " Behaviour Country Moved Type Continent \\\n", + "0 Negative DEU 1 Does not apply Europe \n", + "1 Negative SWE 3 Does not apply Europe \n", + "2 Negative GBR 13 Does not apply Europe \n", + "3 Negative HRV 8 Does not apply Europe \n", + "4 Negative POL 21 Does not apply Europe \n", + "... ... ... ... ... ... \n", + "4585 Positive COL 8 Does not apply Latam \n", + "4586 Positive CHL Does not apply Cuadratic Latam \n", + "4587 Positive CRI Does not apply Cubic Latam \n", + "4588 Positive USA Does not apply Linear Pair \n", + "4589 Positive CHN Does not apply Cubic Pair \n", + "\n", + " Number of times repeated_x Group Level \\\n", + "0 22 Demography secondary \n", + "1 22 Demography secondary \n", + "2 22 Demography secondary \n", + "3 22 Demography secondary \n", + "4 22 Demography secondary \n", + "... ... ... ... \n", + "4585 21 Agriculture secondary \n", + "4586 21 Agriculture secondary \n", + "4587 21 Agriculture secondary \n", + "4588 21 Agriculture secondary \n", + "4589 21 Agriculture secondary \n", + "\n", + " Number of times repeated_y Min \n", + "0 40 24.0 \n", + "1 40 24.0 \n", + "2 40 24.0 \n", + "3 40 24.0 \n", + "4 40 24.0 \n", + "... ... ... \n", + "4585 27 10.0 \n", + "4586 27 10.0 \n", + "4587 27 10.0 \n", + "4588 27 10.0 \n", + "4589 27 10.0 \n", + "\n", + "[4590 rows x 12 columns]" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "secondary=final.loc[final['Level']=='secondary']\n", + "secondary=pd.merge(secondary,minprimary, left_on='Group',right_on='Group')\n", + "secondaryp=secondary.loc[:,['Group','Min']]\n", + "secondary" + ] + }, + { + "cell_type": "code", + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -215716,13 +35169,13 @@ " \n", " \n", " Demography\n", - " No\n", - " 100.000000\n", + " Yes\n", + " 37.728195\n", " \n", " \n", " Economy\n", " Yes\n", - " 71.039604\n", + " 54.372937\n", " \n", " \n", " Employment\n", @@ -215731,18 +35184,18 @@ " \n", " \n", " Environment\n", - " No\n", - " 100.000000\n", + " Yes\n", + " 73.529412\n", " \n", " \n", " Equality\n", - " No\n", - " 100.000000\n", + " Yes\n", + " 58.928571\n", " \n", " \n", " Exports\n", - " No\n", - " 82.379863\n", + " Yes\n", + " 60.183066\n", " \n", " \n", " Health\n", @@ -215757,7 +35210,7 @@ " \n", " Mortality\n", " No\n", - " 100.000000\n", + " 92.337165\n", " \n", " \n", " Principal\n", @@ -215772,19 +35225,19 @@ " Does it have some global casuallity implied? % of count (Global)\n", "Group \n", "Agriculture No 100.000000\n", - "Demography No 100.000000\n", - "Economy Yes 71.039604\n", + "Demography Yes 37.728195\n", + "Economy Yes 54.372937\n", "Employment No 100.000000\n", - "Environment No 100.000000\n", - "Equality No 100.000000\n", - "Exports No 82.379863\n", + "Environment Yes 73.529412\n", + "Equality Yes 58.928571\n", + "Exports Yes 60.183066\n", "Health No 100.000000\n", "Internet Yes 37.190083\n", - "Mortality No 100.000000\n", + "Mortality No 92.337165\n", "Principal No 100.000000" ] }, - "execution_count": 90, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -215795,10 +35248,10 @@ "secondaryp=secondary.loc[:,['Group','Min']]\n", "Global_Count=secondaryp.groupby('Group').count()\n", "Global_Count.rename(columns={'Min':'Global Count'},inplace=True)\n", - "secondary['H_0']=np.where(secondary['Number of times repeated']-secondary['Min']>0,'Not Discarded', 'Denied')\n", + "secondary['H_0']=np.where(secondary['Number of times repeated_x']-secondary['Min']>0,'Not Discarded', 'Denied')\n", "seco=secondary.groupby(['H_0','Group']).count()\n", "sec=seco.loc['Not Discarded']\n", - "secondarycount=sec.drop(columns=['Indicator','R^2 Spearman','Behaviour','Country','Moved','Type','Continent','Number of times repeated','Level'])\n", + "secondarycount=sec.drop(columns=['Indicator','R^2 Spearman','Behaviour','Country','Moved','Type','Continent','Number of times repeated_x','Number of times repeated_y','Level'])\n", "secondarycount.rename(columns={'Min':'Secondary Count'},inplace=True)\n", "continentlist=final['Continent'].unique()\n", "namescontinents=['European', 'North African', 'Asian', 'Pair', 'Persian', 'South African', 'Latino-American']\n", @@ -215818,7 +35271,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -215901,41 +35354,41 @@ " \n", " \n", " Demography\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", + " Yes\n", + " 37.728195\n", + " Yes\n", + " 36.250000\n", + " Yes\n", + " 39.682540\n", + " Yes\n", + " 35.294118\n", + " Yes\n", + " 40.298507\n", + " Yes\n", + " 37.037037\n", + " Yes\n", + " 36.842105\n", + " Yes\n", + " 40.540541\n", " \n", " \n", " Economy\n", " Yes\n", - " 71.039604\n", + " 54.372937\n", " Yes\n", - " 75.799087\n", + " 61.643836\n", " Yes\n", - " 71.812081\n", + " 54.362416\n", " Yes\n", - " 72.794118\n", + " 53.676471\n", " Yes\n", - " 70.348837\n", + " 53.488372\n", " Yes\n", - " 66.968326\n", + " 49.321267\n", " Yes\n", - " 70.542636\n", + " 53.488372\n", " Yes\n", - " 66.666667\n", + " 54.385965\n", " \n", " \n", " Employment\n", @@ -215958,60 +35411,60 @@ " \n", " \n", " Environment\n", + " Yes\n", + " 73.529412\n", + " Yes\n", + " 62.184874\n", + " Yes\n", + " 76.543210\n", " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", + " 81.333333\n", " No\n", - " 100.000000\n", + " 81.081081\n", + " Yes\n", + " 72.727273\n", + " Yes\n", + " 76.923077\n", + " Yes\n", + " 65.789474\n", " \n", " \n", " Equality\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", - " No\n", - " 100.000000\n", + " Yes\n", + " 58.928571\n", + " Yes\n", + " 77.777778\n", + " Yes\n", + " 75.000000\n", + " Yes\n", + " 55.555556\n", + " Yes\n", + " 50.000000\n", + " Yes\n", + " 50.000000\n", + " Yes\n", + " 63.636364\n", + " Yes\n", + " 33.333333\n", " \n", " \n", " Exports\n", - " No\n", - " 82.379863\n", " Yes\n", - " 77.142857\n", - " No\n", - " 80.701754\n", - " No\n", - " 86.842105\n", - " No\n", - " 84.000000\n", - " No\n", - " 86.075949\n", - " No\n", - " 83.333333\n", - " No\n", - " 83.333333\n", + " 60.183066\n", + " Yes\n", + " 59.047619\n", + " Yes\n", + " 56.140351\n", + " Yes\n", + " 68.421053\n", + " Yes\n", + " 60.000000\n", + " Yes\n", + " 62.025316\n", + " Yes\n", + " 59.523810\n", + " Yes\n", + " 58.333333\n", " \n", " \n", " Health\n", @@ -216054,21 +35507,21 @@ " \n", " Mortality\n", " No\n", - " 100.000000\n", + " 92.337165\n", " No\n", - " 100.000000\n", + " 96.296296\n", " No\n", - " 100.000000\n", + " 92.753623\n", " No\n", - " 100.000000\n", + " 90.476190\n", " No\n", - " 100.000000\n", + " 92.753623\n", " No\n", - " 100.000000\n", + " 90.217391\n", " No\n", - " 100.000000\n", + " 91.578947\n", " No\n", - " 100.000000\n", + " 88.461538\n", " \n", " \n", " Principal\n", @@ -216097,25 +35550,25 @@ " Does it have some global casuallity implied? % of count (Global) \\\n", "Group \n", "Agriculture No 100.000000 \n", - "Demography No 100.000000 \n", - "Economy Yes 71.039604 \n", + "Demography Yes 37.728195 \n", + "Economy Yes 54.372937 \n", "Employment No 100.000000 \n", - "Environment No 100.000000 \n", - "Equality No 100.000000 \n", - "Exports No 82.379863 \n", + "Environment Yes 73.529412 \n", + "Equality Yes 58.928571 \n", + "Exports Yes 60.183066 \n", "Health No 100.000000 \n", "Internet Yes 37.190083 \n", - "Mortality No 100.000000 \n", + "Mortality No 92.337165 \n", "Principal No 100.000000 \n", "\n", " Does it have some European casuallity implied? \\\n", "Group \n", "Agriculture No \n", - "Demography No \n", + "Demography Yes \n", "Economy Yes \n", "Employment No \n", - "Environment No \n", - "Equality No \n", + "Environment Yes \n", + "Equality Yes \n", "Exports Yes \n", "Health No \n", "Internet Yes \n", @@ -216125,26 +35578,26 @@ " % of count (European) \\\n", "Group \n", "Agriculture 100.000000 \n", - "Demography 100.000000 \n", - "Economy 75.799087 \n", + "Demography 36.250000 \n", + "Economy 61.643836 \n", "Employment 100.000000 \n", - "Environment 100.000000 \n", - "Equality 100.000000 \n", - "Exports 77.142857 \n", + "Environment 62.184874 \n", + "Equality 77.777778 \n", + "Exports 59.047619 \n", "Health 100.000000 \n", "Internet 47.619048 \n", - "Mortality 100.000000 \n", + "Mortality 96.296296 \n", "Principal 100.000000 \n", "\n", " Does it have some North African casuallity implied? \\\n", "Group \n", "Agriculture No \n", - "Demography No \n", + "Demography Yes \n", "Economy Yes \n", "Employment No \n", - "Environment No \n", - "Equality No \n", - "Exports No \n", + "Environment Yes \n", + "Equality Yes \n", + "Exports Yes \n", "Health No \n", "Internet Yes \n", "Mortality No \n", @@ -216153,54 +35606,54 @@ " % of count (North African) \\\n", "Group \n", "Agriculture 100.000000 \n", - "Demography 100.000000 \n", - "Economy 71.812081 \n", + "Demography 39.682540 \n", + "Economy 54.362416 \n", "Employment 100.000000 \n", - "Environment 100.000000 \n", - "Equality 100.000000 \n", - "Exports 80.701754 \n", + "Environment 76.543210 \n", + "Equality 75.000000 \n", + "Exports 56.140351 \n", "Health 100.000000 \n", "Internet 35.294118 \n", - "Mortality 100.000000 \n", + "Mortality 92.753623 \n", "Principal 100.000000 \n", "\n", " Does it have some Asian casuallity implied? % of count (Asian) \\\n", "Group \n", "Agriculture No 100.000000 \n", - "Demography No 100.000000 \n", - "Economy Yes 72.794118 \n", + "Demography Yes 35.294118 \n", + "Economy Yes 53.676471 \n", "Employment No 100.000000 \n", - "Environment No 100.000000 \n", - "Equality No 100.000000 \n", - "Exports No 86.842105 \n", + "Environment No 81.333333 \n", + "Equality Yes 55.555556 \n", + "Exports Yes 68.421053 \n", "Health No 100.000000 \n", "Internet Yes 26.315789 \n", - "Mortality No 100.000000 \n", + "Mortality No 90.476190 \n", "Principal No 100.000000 \n", "\n", " Does it have some Pair casuallity implied? % of count (Pair) \\\n", "Group \n", "Agriculture No 100.000000 \n", - "Demography No 100.000000 \n", - "Economy Yes 70.348837 \n", + "Demography Yes 40.298507 \n", + "Economy Yes 53.488372 \n", "Employment No 100.000000 \n", - "Environment No 100.000000 \n", - "Equality No 100.000000 \n", - "Exports No 84.000000 \n", + "Environment No 81.081081 \n", + "Equality Yes 50.000000 \n", + "Exports Yes 60.000000 \n", "Health No 100.000000 \n", "Internet Yes 42.857143 \n", - "Mortality No 100.000000 \n", + "Mortality No 92.753623 \n", "Principal No 100.000000 \n", "\n", " Does it have some Persian casuallity implied? \\\n", "Group \n", "Agriculture No \n", - "Demography No \n", + "Demography Yes \n", "Economy Yes \n", "Employment No \n", - "Environment No \n", - "Equality No \n", - "Exports No \n", + "Environment Yes \n", + "Equality Yes \n", + "Exports Yes \n", "Health No \n", "Internet Yes \n", "Mortality No \n", @@ -216209,26 +35662,26 @@ " % of count (Persian) \\\n", "Group \n", "Agriculture 100.000000 \n", - "Demography 100.000000 \n", - "Economy 66.968326 \n", + "Demography 37.037037 \n", + "Economy 49.321267 \n", "Employment 100.000000 \n", - "Environment 100.000000 \n", - "Equality 100.000000 \n", - "Exports 86.075949 \n", + "Environment 72.727273 \n", + "Equality 50.000000 \n", + "Exports 62.025316 \n", "Health 100.000000 \n", "Internet 36.842105 \n", - "Mortality 100.000000 \n", + "Mortality 90.217391 \n", "Principal 100.000000 \n", "\n", " Does it have some South African casuallity implied? \\\n", "Group \n", "Agriculture No \n", - "Demography No \n", + "Demography Yes \n", "Economy Yes \n", "Employment No \n", - "Environment No \n", - "Equality No \n", - "Exports No \n", + "Environment Yes \n", + "Equality Yes \n", + "Exports Yes \n", "Health No \n", "Internet Yes \n", "Mortality No \n", @@ -216237,26 +35690,26 @@ " % of count (South African) \\\n", "Group \n", "Agriculture 100.000000 \n", - "Demography 100.000000 \n", - "Economy 70.542636 \n", + "Demography 36.842105 \n", + "Economy 53.488372 \n", "Employment 100.000000 \n", - "Environment 100.000000 \n", - "Equality 100.000000 \n", - "Exports 83.333333 \n", + "Environment 76.923077 \n", + "Equality 63.636364 \n", + "Exports 59.523810 \n", "Health 100.000000 \n", "Internet 37.500000 \n", - "Mortality 100.000000 \n", + "Mortality 91.578947 \n", "Principal 100.000000 \n", "\n", " Does it have some Latino-American casuallity implied? \\\n", "Group \n", "Agriculture No \n", - "Demography No \n", + "Demography Yes \n", "Economy Yes \n", "Employment No \n", - "Environment No \n", - "Equality No \n", - "Exports No \n", + "Environment Yes \n", + "Equality Yes \n", + "Exports Yes \n", "Health No \n", "Internet Yes \n", "Mortality No \n", @@ -216265,19 +35718,19 @@ " % of count (Latino-American) \n", "Group \n", "Agriculture 100.000000 \n", - "Demography 100.000000 \n", - "Economy 66.666667 \n", + "Demography 40.540541 \n", + "Economy 54.385965 \n", "Employment 100.000000 \n", - "Environment 100.000000 \n", - "Equality 100.000000 \n", - "Exports 83.333333 \n", + "Environment 65.789474 \n", + "Equality 33.333333 \n", + "Exports 58.333333 \n", "Health 100.000000 \n", "Internet 28.571429 \n", - "Mortality 100.000000 \n", + "Mortality 88.461538 \n", "Principal 100.000000 " ] }, - "execution_count": 91, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -216300,10 +35753,10 @@ " Global_Count=secondaryp.groupby('Group').count()\n", " Global_Count.rename(columns={'Min':'Global Count'},inplace=True)\n", "\n", - " secondary['H_0']=np.where(secondary['Number of times repeated']-secondary['Min']>0,'Not Discarded', 'Denied')\n", + " secondary['H_0']=np.where(secondary['Number of times repeated_x']-secondary['Min']>0,'Not Discarded', 'Denied')\n", " seco=secondary.groupby(['H_0','Group']).count()\n", " sec=seco.loc['Not Discarded']\n", - " secondarycount=sec.drop(columns=['Indicator','R^2 Spearman','Behaviour','Country','Moved','Type','Continent','Number of times repeated','Level'])\n", + " secondarycount=sec.drop(columns=['Indicator','R^2 Spearman','Behaviour','Country','Moved','Type','Continent','Number of times repeated_x','Number of times repeated_y','Level'])\n", " secondarycount.rename(columns={'Min':'Secondary Count'},inplace=True)\n", "\n", " apfinalcount=pd.merge(Global_Count,secondarycount, left_on='Group',right_on='Group')\n", @@ -216325,7 +35778,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.10.4 64-bit", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -216339,7 +35792,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.4" + "version": "3.9.12" }, "vscode": { "interpreter": { diff --git a/WDI-Data extraction.ipynb b/WDI-Data extraction.ipynb deleted file mode 100644 index c13b935..0000000 --- a/WDI-Data extraction.ipynb +++ /dev/null @@ -1,126 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "292a79ab", - "metadata": {}, - "source": [ - "# Data extraction" - ] - }, - { - "cell_type": "markdown", - "id": "fa3ee36c", - "metadata": {}, - "source": [ - "In the following cells we are going to import the data from the [World Bank website](https://www.worldbank.org/en/home), Data sections, and decompress it. So later on, we can process it in the integration, and subsequent parts." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "760c86c6", - "metadata": {}, - "outputs": [], - "source": [ - "import requests\n", - "import glob\n", - "import os\n", - "from zipfile import ZipFile" - ] - }, - { - "cell_type": "markdown", - "id": "4066cd3c", - "metadata": {}, - "source": [ - "To download the data, we are going to use the `request` library as just to be sure that we do not run into any inconvinient we are going to use the `stream` and `verify` to have a simple and cleaner download. Therefore, at the end we will have the data downloaded in our working directory data by design. (It can be obtained with the following function `os.getcwd()`)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fbae03c0", - "metadata": {}, - "outputs": [], - "source": [ - "url = 'https://databank.worldbank.org/data/download/WDI_csv.zip'\n", - "r = requests.get(url, allow_redirects=True, stream = True,verify=False)\n", - "open('WDI_csv.zip', 'wb').write(r.content)" - ] - }, - { - "cell_type": "markdown", - "id": "ef0affe5", - "metadata": {}, - "source": [ - "Then we extract all the files that are contained in *WDI_csv.zip* , into the default directory in a new folder called *Data*. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1aa3d76c", - "metadata": {}, - "outputs": [], - "source": [ - "zip_name = \"WDI_csv.zip\"\n", - "with ZipFile(zip_name, 'r') as zip:\n", - " zip.printdir()\n", - " zip.extractall('Data') " - ] - }, - { - "cell_type": "markdown", - "id": "4d97ef77", - "metadata": {}, - "source": [ - "Finally we are going to delete the *WDI_csv.zip*." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "566bfbbc", - "metadata": {}, - "outputs": [], - "source": [ - "os.remove(os.getcwd()+'/Data/'+\"/**.zip\")" - ] - }, - { - "cell_type": "markdown", - "id": "61a307d6", - "metadata": {}, - "source": [ - "As this online extraction was giving us errors, we made it offline manually. We are working on a fix." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('.venv': poetry)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "vscode": { - "interpreter": { - "hash": "6fbc2df73014fb514f729a0213c4b355904e0c6715319af310302fb291c75f15" - } - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/WDI-Data integration.ipynb b/WDI-Data integration.ipynb deleted file mode 100644 index cee41f8..0000000 --- a/WDI-Data integration.ipynb +++ /dev/null @@ -1,705 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import glob\n", - "import os\n", - "import warnings\n", - "warnings.filterwarnings(\"ignore\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# INTEGRATION" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "df= pd.read_csv (os.getcwd()+'/Data/'+'WDIData.csv')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Moreover, to work more comfortably, we remove those columns not useful for us, as *Country Name* and *Indicator Code*, since with the *Country Code*, *Value* and the *Indicator Name* we have the relevant information." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "df.drop(columns=[\"Country Name\",\"Indicator Code\"], axis=1, inplace=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "FILTER 1: BY COUNTRY\n", - "\n", - "From the almost two hundred countries we have information about in the worldwide database, we have decided to study 50 of them, grouping them by geographical and economical similiarities. With this, we can keep in our dataframe the selected countries." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Criteria for grouping:\n", - "- Europe: Germany, France, Sweden, United Kingdom, Spain, Croatia, Poland, Greece, Austria and Netherlands.\n", - "\n", - "*Interesting countries of the European continent that can reflect events such as the Brexit process, the 2008 crisis or their historical strength.*\n", - "- Persian Gulf: Iraq, Qatar, United Arab Emirates, Arabia Saudita, Azerbayan, Yemen, Yemen Democratic and Oman.\n", - "\n", - "*Countries located in the Persian Gulf, which have a similar economy based mainly on petrol and social structures.*\n", - "- North Africa: Algeria, Egiypt, Lybia, Israel, Turkey and Morroco.\n", - "\n", - "*Countries of the african continent that are middle developed and with high mobility of people and goods.*\n", - "- South Africa: Senegal, South Africa, Liberia, Mozambique, Cameroon, Nigeria and Ghana.\n", - "\n", - "*Countries of the south and central africa that are mainly subdeveloped and considered some of the poorest countries worldwide; but, on the contrary, one of them is highly developed.*\n", - "- Asia: Bangladesh, India, Vietnam, Thailand, Indonesia, Philipines and Korea (South).\n", - "\n", - "*Converted in the last decades in the manufacturing of the world, they are subdeveloped countries with high population and childhood.*\n", - "- Latin America: Mexico, Brasil, Argentina, Peru, Venezuela, Colombia, Chile, Panama and Costa Rica.\n", - "\n", - "*Countries located in same continet and some with singular political structures.* \n", - "- Pair: USA and China.\n", - "\n", - "*Although these countries seem to be confronted between them, they have been the top two most growing worlwide, despite the fact that culturally and economically they are completely distant.*\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "europe_list=['DEU','FRA','SWE','GBR','ESP','HRV','POL','GRC','AUT','NLD']\n", - "persian_list=['IRQ','QAT','ARE','SAU','AZE','YEM','YDR','OMN']\n", - "naf_list=['DZA','EGY','LBY','ISR','TUR','MAR']\n", - "saf_list=['SEN','ZAF','LBR','MOZ','CMR','NGA','GHA']\n", - "asia_list=['BGD','IND','VNM','THA','IDN','PHL','KOR']\n", - "latam_list=['MEX','BRA','ARG','PER','VEN','COL','CHL','PAN','CRI']\n", - "two_list=['USA','CHN']\n", - "country_list=europe_list+persian_list+naf_list+saf_list+asia_list+latam_list+two_list " - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "df1=df.loc[df['Country Code'].isin(country_list)]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now we transpose the rows of years into the columns." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Country CodeIndicator NameDateValue
0DZAAccess to clean fuels and technologies for coo...200097.1
1DZAAccess to clean fuels and technologies for coo...200197.3
2DZAAccess to clean fuels and technologies for coo...200297.8
3DZAAccess to clean fuels and technologies for coo...200398.0
4DZAAccess to clean fuels and technologies for coo...200498.2
...............
1729300YEMYoung people (ages 15-24) newly infected with HIV2016200.0
1729301YEMYoung people (ages 15-24) newly infected with HIV2017200.0
1729302YEMYoung people (ages 15-24) newly infected with HIV2018200.0
1729303YEMYoung people (ages 15-24) newly infected with HIV2019200.0
1729304YEMYoung people (ages 15-24) newly infected with HIV2020200.0
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1729305 rows × 4 columns

\n", - "
" - ], - "text/plain": [ - " Country Code Indicator Name Date \\\n", - "0 DZA Access to clean fuels and technologies for coo... 2000 \n", - "1 DZA Access to clean fuels and technologies for coo... 2001 \n", - "2 DZA Access to clean fuels and technologies for coo... 2002 \n", - "3 DZA Access to clean fuels and technologies for coo... 2003 \n", - "4 DZA Access to clean fuels and technologies for coo... 2004 \n", - "... ... ... ... \n", - "1729300 YEM Young people (ages 15-24) newly infected with HIV 2016 \n", - "1729301 YEM Young people (ages 15-24) newly infected with HIV 2017 \n", - "1729302 YEM Young people (ages 15-24) newly infected with HIV 2018 \n", - "1729303 YEM Young people (ages 15-24) newly infected with HIV 2019 \n", - "1729304 YEM Young people (ages 15-24) newly infected with HIV 2020 \n", - "\n", - " Value \n", - "0 97.1 \n", - "1 97.3 \n", - "2 97.8 \n", - "3 98.0 \n", - "4 98.2 \n", - "... ... \n", - "1729300 200.0 \n", - "1729301 200.0 \n", - "1729302 200.0 \n", - "1729303 200.0 \n", - "1729304 200.0 \n", - "\n", - "[1729305 rows x 4 columns]" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df2=(df1.set_index([\"Country Code\", \"Indicator Name\"]).stack().reset_index(name='Value').rename(columns={'level_2':'Date'}))\n", - "df2" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "FILTER 2: BY YEAR\n", - "\n", - "Our time range covers from 1960 to 2021. However, the record is not uniform and complete for all areas and indicators. We can appreaciate that specially in the first years of the last century, so many data is missing, then it makes no sense to study it. Besides, for the year 2021 many data is also lacking. Therefore, we would delimit our study between 1990 and 2020." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "df2[['Date']] = df2[['Date']].astype(int)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Country Code object\n", - "Indicator Name object\n", - "Date int32\n", - "Value float64\n", - "dtype: object" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df2.dtypes" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Country CodeIndicator NameDateValue
0DZAAccess to clean fuels and technologies for coo...200097.1
1DZAAccess to clean fuels and technologies for coo...200197.3
2DZAAccess to clean fuels and technologies for coo...200297.8
3DZAAccess to clean fuels and technologies for coo...200398.0
4DZAAccess to clean fuels and technologies for coo...200498.2
...............
1729300YEMYoung people (ages 15-24) newly infected with HIV2016200.0
1729301YEMYoung people (ages 15-24) newly infected with HIV2017200.0
1729302YEMYoung people (ages 15-24) newly infected with HIV2018200.0
1729303YEMYoung people (ages 15-24) newly infected with HIV2019200.0
1729304YEMYoung people (ages 15-24) newly infected with HIV2020200.0
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1198444 rows × 4 columns

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" - ], - "text/plain": [ - " Country Code Indicator Name Date \\\n", - "0 DZA Access to clean fuels and technologies for coo... 2000 \n", - "1 DZA Access to clean fuels and technologies for coo... 2001 \n", - "2 DZA Access to clean fuels and technologies for coo... 2002 \n", - "3 DZA Access to clean fuels and technologies for coo... 2003 \n", - "4 DZA Access to clean fuels and technologies for coo... 2004 \n", - "... ... ... ... \n", - "1729300 YEM Young people (ages 15-24) newly infected with HIV 2016 \n", - "1729301 YEM Young people (ages 15-24) newly infected with HIV 2017 \n", - "1729302 YEM Young people (ages 15-24) newly infected with HIV 2018 \n", - "1729303 YEM Young people (ages 15-24) newly infected with HIV 2019 \n", - "1729304 YEM Young people (ages 15-24) newly infected with HIV 2020 \n", - "\n", - " Value \n", - "0 97.1 \n", - "1 97.3 \n", - "2 97.8 \n", - "3 98.0 \n", - "4 98.2 \n", - "... ... \n", - "1729300 200.0 \n", - "1729301 200.0 \n", - "1729302 200.0 \n", - "1729303 200.0 \n", - "1729304 200.0 \n", - "\n", - "[1198444 rows x 4 columns]" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df3 = df2[df2['Date'] > 1989]\n", - "df3" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "FILTER 3: BY INDICATOR" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "As there are lots of indicators that have very similar meaning we have decided to select some indicators to perform the study (**Indicator group** = *Name of the selected indicator*):\n", - "- **GDP** = *GDP (current US$)*\n", - "- **Literacy** = *Literacy rate, adult total (% of people ages 15 and above)', 'Government expenditure on education, total (% of government expenditure)*\n", - "- **Migration** = *Net migration*\n", - "- **Exports** = *Commercial service exports (current US$)* & *Exports of goods and services (current US$)*\n", - "- **International trading** = *Taxes on international trade (current LCU)*\n", - "- **Fertility** = *Fertility rate, total (births per woman)*\n", - "- **Healthcare** = *People using at least basic sanitation services (% of population)*\n", - "- **Employment** = *Employment in agriculture (% of total employment) (modeled ILO estimate)*, *Employment in services (% of total employment) (modeled ILO estimate)* & *Employment in industry (% of total employment) (modeled ILO estimate)*\n", - "- **Renewable energy** = *Electricity production from renewable sources, excluding hydroelectric (kWh)*\n", - "- **Mortality** = *Number of infant deaths*\n", - "- **Outside investment** = *Foreign direct investment, net (BoP, current US$)*\n", - "- **Pollution** = *Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)*\n", - "- **Alcoholism** = *Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)*\n", - "- **Tech adoption** = *Research and development expenditure (% of GDP)*\n", - "- **Workers high education** = *Labor force with advanced education (% of total working-age population with advanced education)*\n", - "- **Optimisim and pessimisim** = *Suicide mortality rate (per 100,000 population)*\n", - "- **Gender inequality** = *CPIA gender equality rating (**1=low to **6=high)*\n", - "- **Education** = *Share of youth not in education, employment or training, total (% of youth population)* & *Government expenditure on education, total (% of government expenditure)'*\n", - "\n", - "To acomplish this, we use the function `isin` that will allow us to only select the the indicators afromentioned, that have been compilied in the list called *indicators_list*" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "indicators_list=['GDP (current US$)','Literacy rate, adult total (% of people ages 15 and above)', 'Government expenditure on education, total (% of government expenditure)','Net migration','Commercial service exports (current US$)','Exports of goods and services (current US$)','Taxes on international trade (current LCU)','Fertility rate, total (births per woman)','People using at least basic sanitation services (% of population)','Employment in agriculture (% of total employment) (modeled ILO estimate)','Employment in services (% of total employment) (modeled ILO estimate)','Employment in industry (% of total employment) (modeled ILO estimate)','Electricity production from renewable sources, excluding hydroelectric (kWh)','Number of infant deaths','Number of infant deaths','Foreign direct investment, net (BoP, current US$)','Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)','Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)','Research and development expenditure (% of GDP)','Labor force with advanced education (% of total working-age population with advanced education)','Suicide mortality rate (per 100,000 population)','CPIA gender equality rating (1=low to 6=high)','Share of youth not in education, employment or training, total (% of youth population)','Government expenditure on education, total (% of government expenditure)']" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Country CodeIndicator NameDateValue
5334DZACommercial service exports (current US$)19904.795977e+08
5335DZACommercial service exports (current US$)19913.747657e+08
5336DZACommercial service exports (current US$)20052.466000e+09
5337DZACommercial service exports (current US$)20062.512000e+09
5338DZACommercial service exports (current US$)20072.786733e+09
...............
1727918YEMTotal alcohol consumption per capita (liters o...20007.900000e-01
1727919YEMTotal alcohol consumption per capita (liters o...20053.400000e-01
1727920YEMTotal alcohol consumption per capita (liters o...20101.800000e-01
1727921YEMTotal alcohol consumption per capita (liters o...20155.500000e-02
1727922YEMTotal alcohol consumption per capita (liters o...20185.100000e-02
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19944 rows × 4 columns

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" - ], - "text/plain": [ - " Country Code Indicator Name Date \\\n", - "5334 DZA Commercial service exports (current US$) 1990 \n", - "5335 DZA Commercial service exports (current US$) 1991 \n", - "5336 DZA Commercial service exports (current US$) 2005 \n", - "5337 DZA Commercial service exports (current US$) 2006 \n", - "5338 DZA Commercial service exports (current US$) 2007 \n", - "... ... ... ... \n", - "1727918 YEM Total alcohol consumption per capita (liters o... 2000 \n", - "1727919 YEM Total alcohol consumption per capita (liters o... 2005 \n", - "1727920 YEM Total alcohol consumption per capita (liters o... 2010 \n", - "1727921 YEM Total alcohol consumption per capita (liters o... 2015 \n", - "1727922 YEM Total alcohol consumption per capita (liters o... 2018 \n", - "\n", - " Value \n", - "5334 4.795977e+08 \n", - "5335 3.747657e+08 \n", - "5336 2.466000e+09 \n", - "5337 2.512000e+09 \n", - "5338 2.786733e+09 \n", - "... ... \n", - "1727918 7.900000e-01 \n", - "1727919 3.400000e-01 \n", - "1727920 1.800000e-01 \n", - "1727921 5.500000e-02 \n", - "1727922 5.100000e-02 \n", - "\n", - "[19944 rows x 4 columns]" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "BronzeDataFrame=df3.loc[df3['Indicator Name'].isin(indicators_list)]\n", - "pd.set_option('display.max_rows', 10)\n", - "BronzeDataFrame" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "BronzeDataFrame.to_csv(os.getcwd()+'/Data/BronzeDataFrame.csv')" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.4 ('.venv': poetry)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.4" - }, - "vscode": { - "interpreter": { - "hash": "ad72b07258a3fa24452fee21e868a537ead700a3a6ac2a1adaf5006160c747dc" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/WDI-Data normalization.ipynb b/WDI-Data normalization.ipynb deleted file mode 100644 index 4ab91c5..0000000 --- a/WDI-Data normalization.ipynb +++ /dev/null @@ -1,3639 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "BronzeDataFrame= pd.read_csv (os.getcwd()+'/Data/'+'BronzeDataFrame.csv')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# NORMALIZATION" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Taking as reference both works of https://www.pluralsight.com/guides/cleaning-up-data-from-outliers and https://careerfoundry.com/en/blog/data-analytics/how-to-find-outliers/, for normalizing our data we need to start computing the outliers and removing them from our dataframe. As there is not a direct function of pandas that performs this step, it´s been step-by-step code, where we begin with the computation of the quartiles, then the IQR (Inter Quartile Range) and finally the upper and lower limit." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "##### IQR explanation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The interquartile range (IQR) measures the spread of the middle half of your data. It is the range for the middle 50% of your sample. Use the IQR to assess the variability where most of your values lie. Larger values indicate that the central portion of your data spread out further. Conversely, smaller values show that the middle values cluster more tightly.\n", - "\n", - "To visualize the interquartile range, imagine dividing your data into quarters. Statisticians refer to these quarters as quartiles and label them from low to high as Q1, Q2, Q3, and Q4. The lowest quartile (Q1) covers the smallest quarter of values in your dataset. The upper quartile (Q4) comprises the highest quarter of values. The interquartile range is the middle half of the data that lies between the upper and lower quartiles. In other words, the interquartile range includes the 50% of data points that are above Q1 and below Q4.\n", - "\n", - "When measuring variability, statisticians prefer using the interquartile range instead of the full data range because extreme values and outliers affect it less. Typically, use the IQR with a measure of central tendency, such as the median, to understand your data’s center and spread. This combination creates a fuller picture of your data’s distribution.\n", - "\n", - "Therefore it is being utilized to get rid of all the outliers that may come from errors when creating the data or from unexpected years." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Firstly, what we have done is to change the name of our indicators, as their original denomination is not easy to handle." - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Country CodeIndicator Name19601961196219631964196519661967...201320142015201620172018201920202021Unnamed: 66
0AFEAccess to clean fuels and technologies for coo...NaNNaNNaNNaNNaNNaNNaNNaN...16.93600417.33789617.68709318.14097118.49134418.82552019.27221219.628009NaNNaN
1AFEAccess to clean fuels and technologies for coo...NaNNaNNaNNaNNaNNaNNaNNaN...6.4994716.6800666.8591107.0162387.1803647.3222947.5171917.651598NaNNaN
2AFEAccess to clean fuels and technologies for coo...NaNNaNNaNNaNNaNNaNNaNNaN...37.85539938.04678138.32625538.46842638.67004438.72278338.92701639.042839NaNNaN
3AFEAccess to electricity (% of population)NaNNaNNaNNaNNaNNaNNaNNaN...31.79416032.00102733.87191038.88017340.26135843.06187744.27086045.803485NaNNaN
4AFEAccess to electricity, rural (% of rural popul...NaNNaNNaNNaNNaNNaNNaNNaN...18.66350217.63398616.46468124.53143625.34511127.44990829.64176030.404935NaNNaN
..................................................................
384365ZWEWomen who believe a husband is justified in be...NaNNaNNaNNaNNaNNaNNaNNaN...NaNNaN14.500000NaNNaNNaNNaNNaNNaNNaN
384366ZWEWomen who were first married by age 15 (% of w...NaNNaNNaNNaNNaNNaNNaNNaN...NaNNaN3.700000NaNNaNNaN5.418352NaNNaNNaN
384367ZWEWomen who were first married by age 18 (% of w...NaNNaNNaNNaNNaNNaNNaNNaN...NaN33.50000032.400000NaNNaNNaN33.658057NaNNaNNaN
384368ZWEWomen's share of population ages 15+ living wi...NaNNaNNaNNaNNaNNaNNaNNaN...59.20000059.40000059.50000059.70000059.90000060.00000060.20000060.400000NaNNaN
384369ZWEYoung people (ages 15-24) newly infected with HIVNaNNaNNaNNaNNaNNaNNaNNaN...18000.00000017000.00000015000.00000014000.00000012000.0000009700.0000009600.0000007500.000000NaNNaN
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384370 rows × 65 columns

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" - ], - "text/plain": [ - " Country Code Indicator Name 1960 \\\n", - "0 AFE Access to clean fuels and technologies for coo... NaN \n", - "1 AFE Access to clean fuels and technologies for coo... NaN \n", - "2 AFE Access to clean fuels and technologies for coo... NaN \n", - "3 AFE Access to electricity (% of population) NaN \n", - "4 AFE Access to electricity, rural (% of rural popul... NaN \n", - "... ... ... ... \n", - "384365 ZWE Women who believe a husband is justified in be... NaN \n", - "384366 ZWE Women who were first married by age 15 (% of w... NaN \n", - "384367 ZWE Women who were first married by age 18 (% of w... NaN \n", - "384368 ZWE Women's share of population ages 15+ living wi... NaN \n", - "384369 ZWE Young people (ages 15-24) newly infected with HIV NaN \n", - "\n", - " 1961 1962 1963 1964 1965 1966 1967 ... 2013 \\\n", - "0 NaN NaN NaN NaN NaN NaN NaN ... 16.936004 \n", - "1 NaN NaN NaN NaN NaN NaN NaN ... 6.499471 \n", - "2 NaN NaN NaN NaN NaN NaN NaN ... 37.855399 \n", - "3 NaN NaN NaN NaN NaN NaN NaN ... 31.794160 \n", - "4 NaN NaN NaN NaN NaN NaN NaN ... 18.663502 \n", - "... ... ... ... ... ... ... ... ... ... \n", - "384365 NaN NaN NaN NaN NaN NaN NaN ... NaN \n", - "384366 NaN NaN NaN NaN NaN NaN NaN ... NaN \n", - "384367 NaN NaN NaN NaN NaN NaN NaN ... NaN \n", - "384368 NaN NaN NaN NaN NaN NaN NaN ... 59.200000 \n", - "384369 NaN NaN NaN NaN NaN NaN NaN ... 18000.000000 \n", - "\n", - " 2014 2015 2016 2017 2018 \\\n", - "0 17.337896 17.687093 18.140971 18.491344 18.825520 \n", - "1 6.680066 6.859110 7.016238 7.180364 7.322294 \n", - "2 38.046781 38.326255 38.468426 38.670044 38.722783 \n", - "3 32.001027 33.871910 38.880173 40.261358 43.061877 \n", - "4 17.633986 16.464681 24.531436 25.345111 27.449908 \n", - "... ... ... ... ... ... \n", - "384365 NaN 14.500000 NaN NaN NaN \n", - "384366 NaN 3.700000 NaN NaN NaN \n", - "384367 33.500000 32.400000 NaN NaN NaN \n", - "384368 59.400000 59.500000 59.700000 59.900000 60.000000 \n", - "384369 17000.000000 15000.000000 14000.000000 12000.000000 9700.000000 \n", - "\n", - " 2019 2020 2021 Unnamed: 66 \n", - "0 19.272212 19.628009 NaN NaN \n", - "1 7.517191 7.651598 NaN NaN \n", - "2 38.927016 39.042839 NaN NaN \n", - "3 44.270860 45.803485 NaN NaN \n", - "4 29.641760 30.404935 NaN NaN \n", - "... ... ... ... ... \n", - "384365 NaN NaN NaN NaN \n", - "384366 5.418352 NaN NaN NaN \n", - "384367 33.658057 NaN NaN NaN \n", - "384368 60.200000 60.400000 NaN NaN \n", - "384369 9600.000000 7500.000000 NaN NaN \n", - "\n", - "[384370 rows x 65 columns]" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "BronzeDataFrame['Indicator Name']=BronzeDataFrame['Indicator Name'].replace(['CPIA gender equality rating (1=low to 6=high)','Commercial service exports (current US$)','Electricity production from renewable sources, excluding hydroelectric (kWh)','Employment in agriculture (% of total employment) (modeled ILO estimate)','Employment in industry (% of total employment) (modeled ILO estimate)','Employment in services (% of total employment) (modeled ILO estimate)','Exports of goods and services (current US$)','Fertility rate, total (births per woman)','Foreign direct investment, net (BoP, current US$)','GDP (current US$)','Government expenditure on education, total (% of government expenditure)','Labor force with advanced education (% of total working-age population with advanced education)','Literacy rate, adult total (% of people ages 15 and above)','Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)','Net migration','Number of infant deaths','People using at least basic sanitation services (% of population)','Research and development expenditure (% of GDP)','Share of youth not in education, employment or training, total (% of youth population)','Suicide mortality rate (per 100,000 population)','Taxes on international trade (current LCU)','Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)'],['Gender equality','Exports-Commercial services','Renewable electricity','Employment-agriculture','Employment-industry','Employment-services','Exports-G&S','Fertility rate','Foreign investment','GDP','Education GExp','Workers high education','Literacy rate','Mortality-pollution','Net migration','Mortality-infants','Health services use','R&D GExp','Ninis','Suicide','International taxes','Alcohol per capita'])\n", - "df" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Secondly, we compute the first quartile (Q1=25%) and the third quartile (Q3=75%). For that, we have grouped the data by country code and indicator name, so we get the Q1 and Q3 values for each indicator in each geographical area. " - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "grouped=BronzeDataFrame.groupby(['Country Code','Indicator Name'])\n", - "grouped" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateValue
Country CodeIndicator Name
AREAlcohol per capita10.06.400000e-01
Education GExp0.00.000000e+00
Employment-agriculture14.05.130000e+00
Employment-industry14.01.449997e+00
Employment-services14.03.830002e+00
............
ZAFNinis12.52.997499e+00
R&D GExp8.01.011100e-01
Renewable electricity12.52.292500e+08
Suicide9.51.025000e+00
Workers high education10.51.712500e+00
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978 rows × 2 columns

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" - ], - "text/plain": [ - " Date Value\n", - "Country Code Indicator Name \n", - "ARE Alcohol per capita 10.0 6.400000e-01\n", - " Education GExp 0.0 0.000000e+00\n", - " Employment-agriculture 14.0 5.130000e+00\n", - " Employment-industry 14.0 1.449997e+00\n", - " Employment-services 14.0 3.830002e+00\n", - "... ... ...\n", - "ZAF Ninis 12.5 2.997499e+00\n", - " R&D GExp 8.0 1.011100e-01\n", - " Renewable electricity 12.5 2.292500e+08\n", - " Suicide 9.5 1.025000e+00\n", - " Workers high education 10.5 1.712500e+00\n", - "\n", - "[978 rows x 2 columns]" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Q1=BronzeDataFrame.groupby(['Country Code','Indicator Name']).quantile(0.25)\n", - "Q3=BronzeDataFrame.groupby(['Country Code','Indicator Name']).quantile(0.75)\n", - "IQR=Q3-Q1\n", - "IQR" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Once we got the quartiles, we compute the upper and lower limit, with a basic mathematical expression." - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Lower limit
Country CodeIndicator Name
AREAlcohol per capita2.190000e+00
Education GExp1.026766e+01
Employment-agriculture-4.905000e+00
Employment-industry3.131501e+01
Employment-services5.269500e+01
.........
ZAFNinis2.684375e+01
R&D GExp5.828450e-01
Renewable electricity-2.623750e+08
Suicide2.203750e+01
Workers high education8.050875e+01
\n", - "

978 rows × 1 columns

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" - ], - "text/plain": [ - " Lower limit\n", - "Country Code Indicator Name \n", - "ARE Alcohol per capita 2.190000e+00\n", - " Education GExp 1.026766e+01\n", - " Employment-agriculture -4.905000e+00\n", - " Employment-industry 3.131501e+01\n", - " Employment-services 5.269500e+01\n", - "... ...\n", - "ZAF Ninis 2.684375e+01\n", - " R&D GExp 5.828450e-01\n", - " Renewable electricity -2.623750e+08\n", - " Suicide 2.203750e+01\n", - " Workers high education 8.050875e+01\n", - "\n", - "[978 rows x 1 columns]" - ] - }, - "execution_count": 51, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "lower_limit=Q1 - 1.5 * IQR\n", - "lower=lower_limit.drop(['Date'],axis=1)\n", - "lower.rename(columns={\"Value\":\"Lower limit\"})" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Upper limit
Country CodeIndicator Name
AREAlcohol per capita4.750000e+00
Education GExp1.026766e+01
Employment-agriculture1.561500e+01
Employment-industry3.711499e+01
Employment-services6.801500e+01
.........
ZAFNinis3.883375e+01
R&D GExp9.872850e-01
Renewable electricity6.546250e+08
Suicide2.613750e+01
Workers high education8.735875e+01
\n", - "

978 rows × 1 columns

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" - ], - "text/plain": [ - " Upper limit\n", - "Country Code Indicator Name \n", - "ARE Alcohol per capita 4.750000e+00\n", - " Education GExp 1.026766e+01\n", - " Employment-agriculture 1.561500e+01\n", - " Employment-industry 3.711499e+01\n", - " Employment-services 6.801500e+01\n", - "... ...\n", - "ZAF Ninis 3.883375e+01\n", - " R&D GExp 9.872850e-01\n", - " Renewable electricity 6.546250e+08\n", - " Suicide 2.613750e+01\n", - " Workers high education 8.735875e+01\n", - "\n", - "[978 rows x 1 columns]" - ] - }, - "execution_count": 52, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "upper_limit=Q3 + 1.5 * IQR\n", - "upper=upper_limit.drop(['Date'],axis=1)\n", - "upper.rename(columns={\"Value\":\"Upper limit\"})" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Thirdly, we join the three tables we have (main dataframe, upper limit and lower limit) by matching country code and indicator name.." - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Country CodeIndicator NameDateValue_xValue_yValue
0DZAExports-Commercial services19904.795977e+081.736231e+094.453536e+09
1DZAExports-Commercial services19913.747657e+081.736231e+094.453536e+09
2DZAExports-Commercial services20052.466000e+091.736231e+094.453536e+09
3DZAExports-Commercial services20062.512000e+091.736231e+094.453536e+09
4DZAExports-Commercial services20072.786733e+091.736231e+094.453536e+09
.....................
20372YEMAlcohol per capita20007.900000e-01-3.725000e-017.675000e-01
20373YEMAlcohol per capita20053.400000e-01-3.725000e-017.675000e-01
20374YEMAlcohol per capita20101.800000e-01-3.725000e-017.675000e-01
20375YEMAlcohol per capita20155.500000e-02-3.725000e-017.675000e-01
20376YEMAlcohol per capita20185.100000e-02-3.725000e-017.675000e-01
\n", - "

20377 rows × 6 columns

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" - ], - "text/plain": [ - " Country Code Indicator Name Date Value_x \\\n", - "0 DZA Exports-Commercial services 1990 4.795977e+08 \n", - "1 DZA Exports-Commercial services 1991 3.747657e+08 \n", - "2 DZA Exports-Commercial services 2005 2.466000e+09 \n", - "3 DZA Exports-Commercial services 2006 2.512000e+09 \n", - "4 DZA Exports-Commercial services 2007 2.786733e+09 \n", - "... ... ... ... ... \n", - "20372 YEM Alcohol per capita 2000 7.900000e-01 \n", - "20373 YEM Alcohol per capita 2005 3.400000e-01 \n", - "20374 YEM Alcohol per capita 2010 1.800000e-01 \n", - "20375 YEM Alcohol per capita 2015 5.500000e-02 \n", - "20376 YEM Alcohol per capita 2018 5.100000e-02 \n", - "\n", - " Value_y Value \n", - "0 1.736231e+09 4.453536e+09 \n", - "1 1.736231e+09 4.453536e+09 \n", - "2 1.736231e+09 4.453536e+09 \n", - "3 1.736231e+09 4.453536e+09 \n", - "4 1.736231e+09 4.453536e+09 \n", - "... ... ... \n", - "20372 -3.725000e-01 7.675000e-01 \n", - "20373 -3.725000e-01 7.675000e-01 \n", - "20374 -3.725000e-01 7.675000e-01 \n", - "20375 -3.725000e-01 7.675000e-01 \n", - "20376 -3.725000e-01 7.675000e-01 \n", - "\n", - "[20377 rows x 6 columns]" - ] - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dfs = [BronzeDataFrame,lower,upper]\n", - "df_joined = ft.reduce(lambda left, right: pd.merge(left, right, on=['Country Code','Indicator Name']), dfs)\n", - "df_joined" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['Country Code', 'Indicator Name', 'Date', 'Value_x', 'Value_y', 'Value']" - ] - }, - "execution_count": 54, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "list(df_joined)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We rename the columns of the new table, as the columns headers are not saved after the joining. " - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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CountryIndicatorYearReal valueLower valueUpper value
0DZAExports-Commercial services19904.795977e+081.736231e+094.453536e+09
1DZAExports-Commercial services19913.747657e+081.736231e+094.453536e+09
2DZAExports-Commercial services20052.466000e+091.736231e+094.453536e+09
3DZAExports-Commercial services20062.512000e+091.736231e+094.453536e+09
4DZAExports-Commercial services20072.786733e+091.736231e+094.453536e+09
.....................
20372YEMAlcohol per capita20007.900000e-01-3.725000e-017.675000e-01
20373YEMAlcohol per capita20053.400000e-01-3.725000e-017.675000e-01
20374YEMAlcohol per capita20101.800000e-01-3.725000e-017.675000e-01
20375YEMAlcohol per capita20155.500000e-02-3.725000e-017.675000e-01
20376YEMAlcohol per capita20185.100000e-02-3.725000e-017.675000e-01
\n", - "

20377 rows × 6 columns

\n", - "
" - ], - "text/plain": [ - " Country Indicator Year Real value Lower value \\\n", - "0 DZA Exports-Commercial services 1990 4.795977e+08 1.736231e+09 \n", - "1 DZA Exports-Commercial services 1991 3.747657e+08 1.736231e+09 \n", - "2 DZA Exports-Commercial services 2005 2.466000e+09 1.736231e+09 \n", - "3 DZA Exports-Commercial services 2006 2.512000e+09 1.736231e+09 \n", - "4 DZA Exports-Commercial services 2007 2.786733e+09 1.736231e+09 \n", - "... ... ... ... ... ... \n", - "20372 YEM Alcohol per capita 2000 7.900000e-01 -3.725000e-01 \n", - "20373 YEM Alcohol per capita 2005 3.400000e-01 -3.725000e-01 \n", - "20374 YEM Alcohol per capita 2010 1.800000e-01 -3.725000e-01 \n", - "20375 YEM Alcohol per capita 2015 5.500000e-02 -3.725000e-01 \n", - "20376 YEM Alcohol per capita 2018 5.100000e-02 -3.725000e-01 \n", - "\n", - " Upper value \n", - "0 4.453536e+09 \n", - "1 4.453536e+09 \n", - "2 4.453536e+09 \n", - "3 4.453536e+09 \n", - "4 4.453536e+09 \n", - "... ... \n", - "20372 7.675000e-01 \n", - "20373 7.675000e-01 \n", - "20374 7.675000e-01 \n", - "20375 7.675000e-01 \n", - "20376 7.675000e-01 \n", - "\n", - "[20377 rows x 6 columns]" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "renamed=df_joined.set_axis(['Country','Indicator','Year', 'Real value', 'Lower value', 'Upper value'], axis=1, inplace=False)\n", - "renamed" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now that we have the table correctly defined, we remove from our dataframe the values that are outside our range, as it means that they are outliers." - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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CountryIndicatorYearReal valueLower valueUpper value
2DZAExports-Commercial services20052.466000e+091.736231e+094.453536e+09
3DZAExports-Commercial services20062.512000e+091.736231e+094.453536e+09
4DZAExports-Commercial services20072.786733e+091.736231e+094.453536e+09
5DZAExports-Commercial services20083.412421e+091.736231e+094.453536e+09
6DZAExports-Commercial services20092.744716e+091.736231e+094.453536e+09
.....................
20371YEMSuicide20195.800000e+005.400000e+006.200000e+00
20373YEMAlcohol per capita20053.400000e-01-3.725000e-017.675000e-01
20374YEMAlcohol per capita20101.800000e-01-3.725000e-017.675000e-01
20375YEMAlcohol per capita20155.500000e-02-3.725000e-017.675000e-01
20376YEMAlcohol per capita20185.100000e-02-3.725000e-017.675000e-01
\n", - "

19847 rows × 6 columns

\n", - "
" - ], - "text/plain": [ - " Country Indicator Year Real value Lower value \\\n", - "2 DZA Exports-Commercial services 2005 2.466000e+09 1.736231e+09 \n", - "3 DZA Exports-Commercial services 2006 2.512000e+09 1.736231e+09 \n", - "4 DZA Exports-Commercial services 2007 2.786733e+09 1.736231e+09 \n", - "5 DZA Exports-Commercial services 2008 3.412421e+09 1.736231e+09 \n", - "6 DZA Exports-Commercial services 2009 2.744716e+09 1.736231e+09 \n", - "... ... ... ... ... ... \n", - "20371 YEM Suicide 2019 5.800000e+00 5.400000e+00 \n", - "20373 YEM Alcohol per capita 2005 3.400000e-01 -3.725000e-01 \n", - "20374 YEM Alcohol per capita 2010 1.800000e-01 -3.725000e-01 \n", - "20375 YEM Alcohol per capita 2015 5.500000e-02 -3.725000e-01 \n", - "20376 YEM Alcohol per capita 2018 5.100000e-02 -3.725000e-01 \n", - "\n", - " Upper value \n", - "2 4.453536e+09 \n", - "3 4.453536e+09 \n", - "4 4.453536e+09 \n", - "5 4.453536e+09 \n", - "6 4.453536e+09 \n", - "... ... \n", - "20371 6.200000e+00 \n", - "20373 7.675000e-01 \n", - "20374 7.675000e-01 \n", - "20375 7.675000e-01 \n", - "20376 7.675000e-01 \n", - "\n", - "[19847 rows x 6 columns]" - ] - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sin_outliers=renamed.loc[~((renamed['Real value']renamed['Upper value']))]\n", - "sin_outliers" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "From the data above, we can perceive that our data comes down from 19944 rows to 19424, so 500 were outliers. The next steps are to order and display data better, removing those columns that we just do not need and pivoting the rows and columns. " - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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CountryIndicatorYearReal value
2DZAExports-Commercial services20052.466000e+09
3DZAExports-Commercial services20062.512000e+09
4DZAExports-Commercial services20072.786733e+09
5DZAExports-Commercial services20083.412421e+09
6DZAExports-Commercial services20092.744716e+09
...............
20371YEMSuicide20195.800000e+00
20373YEMAlcohol per capita20053.400000e-01
20374YEMAlcohol per capita20101.800000e-01
20375YEMAlcohol per capita20155.500000e-02
20376YEMAlcohol per capita20185.100000e-02
\n", - "

19847 rows × 4 columns

\n", - "
" - ], - "text/plain": [ - " Country Indicator Year Real value\n", - "2 DZA Exports-Commercial services 2005 2.466000e+09\n", - "3 DZA Exports-Commercial services 2006 2.512000e+09\n", - "4 DZA Exports-Commercial services 2007 2.786733e+09\n", - "5 DZA Exports-Commercial services 2008 3.412421e+09\n", - "6 DZA Exports-Commercial services 2009 2.744716e+09\n", - "... ... ... ... ...\n", - "20371 YEM Suicide 2019 5.800000e+00\n", - "20373 YEM Alcohol per capita 2005 3.400000e-01\n", - "20374 YEM Alcohol per capita 2010 1.800000e-01\n", - "20375 YEM Alcohol per capita 2015 5.500000e-02\n", - "20376 YEM Alcohol per capita 2018 5.100000e-02\n", - "\n", - "[19847 rows x 4 columns]" - ] - }, - "execution_count": 57, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_limpio=sin_outliers.drop(['Lower value','Upper value'],axis=1)\n", - "df_limpio" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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IndicatorCountryYearAlcohol per capitaEducation GExpEmployment-agricultureEmployment-industryEmployment-servicesExports-Commercial servicesExports-G&SFertility rate...International taxesLiteracy rateMortality-infantsMortality-pollutionNet migrationNinisR&D GExpRenewable electricitySuicideWorkers high education
0ARE1990NaNNaNNaNNaNNaNNaNNaN4.454...NaNNaN672.0NaNNaNNaNNaN0.0NaNNaN
1ARE1991NaNNaN8.4633.33000258.200001NaNNaN4.253...NaNNaN645.0NaNNaNNaNNaN0.0NaNNaN
2ARE1992NaNNaN8.3733.36000158.279999NaNNaN4.041...NaNNaN618.0NaN368126.0NaNNaN0.0NaNNaN
3ARE1993NaNNaN8.2433.47000158.290001NaNNaN3.827...NaNNaN592.0NaNNaNNaNNaN0.0NaNNaN
4ARE1994NaNNaN8.1333.49000258.380001NaNNaN3.618...NaNNaN568.0NaNNaNNaNNaN0.0NaNNaN
..................................................................
1504ZAF2017NaN18.7192905.2823.34000071.3799971.614806e+101.042884e+112.430...4.993941e+1087.04666932777.0NaN727026.031.0100000.83215NaN25.283.809998
1505ZAF20189.5218.9015905.1623.12999971.7099991.670823e+101.112854e+112.405...5.572291e+10NaN31810.0NaNNaN31.559999NaNNaN24.182.879997
1506ZAF2019NaN19.5962305.2822.30999972.4100041.554886e+101.060698e+112.381...5.522342e+1095.02297230937.0NaNNaN32.459999NaNNaN23.582.019997
1507ZAF2020NaN19.527281NaNNaNNaN8.404204e+099.317915e+102.358...NaNNaN30153.0NaNNaN32.400002NaNNaNNaNNaN
1508ZAF2021NaN18.417240NaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
\n", - "

1509 rows × 24 columns

\n", - "
" - ], - "text/plain": [ - "Indicator Country Year Alcohol per capita Education GExp \\\n", - "0 ARE 1990 NaN NaN \n", - "1 ARE 1991 NaN NaN \n", - "2 ARE 1992 NaN NaN \n", - "3 ARE 1993 NaN NaN \n", - "4 ARE 1994 NaN NaN \n", - "... ... ... ... ... \n", - "1504 ZAF 2017 NaN 18.719290 \n", - "1505 ZAF 2018 9.52 18.901590 \n", - "1506 ZAF 2019 NaN 19.596230 \n", - "1507 ZAF 2020 NaN 19.527281 \n", - "1508 ZAF 2021 NaN 18.417240 \n", - "\n", - "Indicator Employment-agriculture Employment-industry Employment-services \\\n", - "0 NaN NaN NaN \n", - "1 8.46 33.330002 58.200001 \n", - "2 8.37 33.360001 58.279999 \n", - "3 8.24 33.470001 58.290001 \n", - "4 8.13 33.490002 58.380001 \n", - "... ... ... ... \n", - "1504 5.28 23.340000 71.379997 \n", - "1505 5.16 23.129999 71.709999 \n", - "1506 5.28 22.309999 72.410004 \n", - "1507 NaN NaN NaN \n", - "1508 NaN NaN NaN \n", - "\n", - "Indicator Exports-Commercial services Exports-G&S Fertility rate ... \\\n", - "0 NaN NaN 4.454 ... \n", - "1 NaN NaN 4.253 ... \n", - "2 NaN NaN 4.041 ... \n", - "3 NaN NaN 3.827 ... \n", - "4 NaN NaN 3.618 ... \n", - "... ... ... ... ... \n", - "1504 1.614806e+10 1.042884e+11 2.430 ... \n", - "1505 1.670823e+10 1.112854e+11 2.405 ... \n", - "1506 1.554886e+10 1.060698e+11 2.381 ... \n", - "1507 8.404204e+09 9.317915e+10 2.358 ... \n", - "1508 NaN NaN NaN ... \n", - "\n", - "Indicator International taxes Literacy rate Mortality-infants \\\n", - "0 NaN NaN 672.0 \n", - "1 NaN NaN 645.0 \n", - "2 NaN NaN 618.0 \n", - "3 NaN NaN 592.0 \n", - "4 NaN NaN 568.0 \n", - "... ... ... ... \n", - "1504 4.993941e+10 87.046669 32777.0 \n", - "1505 5.572291e+10 NaN 31810.0 \n", - "1506 5.522342e+10 95.022972 30937.0 \n", - "1507 NaN NaN 30153.0 \n", - "1508 NaN NaN NaN \n", - "\n", - "Indicator Mortality-pollution Net migration Ninis R&D GExp \\\n", - "0 NaN NaN NaN NaN \n", - "1 NaN NaN NaN NaN \n", - "2 NaN 368126.0 NaN NaN \n", - "3 NaN NaN NaN NaN \n", - "4 NaN NaN NaN NaN \n", - "... ... ... ... ... \n", - "1504 NaN 727026.0 31.010000 0.83215 \n", - "1505 NaN NaN 31.559999 NaN \n", - "1506 NaN NaN 32.459999 NaN \n", - "1507 NaN NaN 32.400002 NaN \n", - "1508 NaN NaN NaN NaN \n", - "\n", - "Indicator Renewable electricity Suicide Workers high education \n", - "0 0.0 NaN NaN \n", - "1 0.0 NaN NaN \n", - "2 0.0 NaN NaN \n", - "3 0.0 NaN NaN \n", - "4 0.0 NaN NaN \n", - "... ... ... ... \n", - "1504 NaN 25.2 83.809998 \n", - "1505 NaN 24.1 82.879997 \n", - "1506 NaN 23.5 82.019997 \n", - "1507 NaN NaN NaN \n", - "1508 NaN NaN NaN \n", - "\n", - "[1509 rows x 24 columns]" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "SilverDataFrame=df_limpio.set_index([\"Country\", \"Year\"]).pivot(columns=\"Indicator\", values=\"Real value\").reset_index()\n", - "SilverDataFrame" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "SilverDataFrame.to_csv(os.getcwd()+'/Data/SilverDataFrame.csv')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "On the other hand, another big stone of normalizations is to nan/null values, which we have in all variables." - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "13351" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "SilverDataFrame.isna().sum().sum()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "As we can observe, we have lots of missing data, and as there is no optimal way to fullfill these values, thus, we will test some to arrive to the optimal method for our data set." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we need to create some lists so our loops work." - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": {}, - "outputs": [], - "source": [ - "df=SilverDataFrame\n", - "europe_list=['DEU','FRA','SWE','GBR','ESP','HRV','POL','GRC','AUT','NLD']\n", - "persian_list=['IRQ','QAT','ARE','SAU','AZE','YEM','YDR','OMN']\n", - "naf_list=['DZA','EGY','LBY','ISR','TUR','MAR']\n", - "saf_list=['SEN','ZAF','LBR','MOZ','CMR','NGA','GHA']\n", - "asia_list=['BGD','IND','VNM','THA','IDN','PHL','KOR']\n", - "latam_list=['MEX','BRA','ARG','PER','VEN','COL','CHL','PAN','CRI']\n", - "two_list=['USA','CHN']\n", - "country_list=europe_list+persian_list+naf_list+saf_list+asia_list+latam_list+two_list\n", - "col_to_scale=['Gender equality','Exports-Commercial services','Renewable electricity','Employment-agriculture','Employment-industry','Employment-services','Exports-G&S','Fertility rate','Foreign investment','GDP','Education GExp','Workers high education','Literacy rate','Mortality-pollution','Net migration','Mortality-infants','Health services use','R&D GExp','Ninis','Suicide','International taxes','Alcohol per capita']\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We are attempting the linear interpolation, which is achieved by geometrically rendering a straight line between two adjacent points on a graph or plane." - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "8519" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", - "datc=dat.interpolate(method=\"linear\")\n", - "data=datc\n", - "\n", - "for i in range(1,len(country_list)):\n", - " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", - " datc=dat.interpolate(method=\"linear\")\n", - " data=pd.concat((data, datc), axis = 0)\n", - "data.isna().sum().sum()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here we attempt the backward filling. (Filling the previous cell with future values)" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "4500" - ] - }, - "execution_count": 62, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", - "datc=dat.fillna(method='bfill')\n", - "data=datc\n", - "\n", - "for i in range(1,len(country_list)):\n", - " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", - " datc=dat.fillna(method='bfill')\n", - " data=pd.concat((data, datc), axis = 0)\n", - "data.isna().sum().sum()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here we will attempt the forward filling. (Filling the next cell with previous values)" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "8519" - ] - }, - "execution_count": 63, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", - "datc=dat.fillna(method='ffill')\n", - "data=datc\n", - "\n", - "for i in range(1,len(country_list)):\n", - " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", - " datc=dat.fillna(method='ffill')\n", - " data=pd.concat((data, datc), axis = 0)\n", - "data.isna().sum().sum()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "And as none of the methods have worked out correctly, independently, we are going to mix them, to achieve a better result." - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "8519" - ] - }, - "execution_count": 64, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", - "datc=dat.interpolate(method=\"linear\")\n", - "datc=datc.fillna(method='ffill')\n", - "data=datc\n", - "\n", - "for i in range(1,len(country_list)):\n", - " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", - " datc=dat.interpolate(method=\"linear\")\n", - " datc=datc.fillna(method='ffill')\n", - " data=pd.concat((data, datc), axis = 0)\n", - "data.isna().sum().sum()" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2447" - ] - }, - "execution_count": 65, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", - "datc=dat.interpolate(method=\"linear\")\n", - "datc=datc.fillna(method='bfill')\n", - "data=datc\n", - "\n", - "for i in range(1,len(country_list)):\n", - " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", - " datc=dat.interpolate(method=\"linear\")\n", - " datc=datc.fillna(method='bfill')\n", - " data=pd.concat((data, datc), axis = 0)\n", - "data.isna().sum().sum()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "And finally, mixing the three methods all together." - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2447" - ] - }, - "execution_count": 66, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", - "datc=dat.interpolate(method=\"linear\")\n", - "datf=datc.fillna(method='bfill')\n", - "datr=datf.fillna(method='ffill')\n", - "data=datr\n", - "\n", - "for i in range(1,len(country_list)):\n", - " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", - " datc=dat.interpolate(method=\"linear\")\n", - " datc=datc.fillna(method='bfill')\n", - " datc=datc.fillna(method='ffill')\n", - " data=pd.concat((data, datc), axis = 0)\n", - "data.isna().sum().sum()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Therefore, the preferred method for the Nan values´ treatment that we are going to develop is a mix, between the linear interpolation and backwards filling. The linear interpolation a form of interpolation, which involves the generation of new values based on an existing set of values. Linear interpolation is achieved by geometrically rendering a straight line between two adjacent points on a graph or plane. Whereas the backwards filling, will help us to arrive to those values which have not been fullfilled with the linear interpolation." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Moreover, we are also going to scale all the values between the max and min of each country for each variable." - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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IndicatorCountryYearAlcohol per capitaEducation GExpEmployment-agricultureEmployment-industryEmployment-servicesExports-Commercial servicesExports-G&SFertility rate...International taxesLiteracy rateMortality-infantsMortality-pollutionNet migrationNinisR&D GExpRenewable electricitySuicideWorkers high education
347DEU19901.000000.4435291.0000001.0000000.0000000.0023860.0000000.636364...NaNNaN1.000000NaN0.9661240.777580.0000000.0000000.9565221.0
348DEU19911.000000.4435291.0000001.0000000.0000000.0000000.0255350.272727...NaNNaN1.000000NaN0.9661240.777580.0000000.0025250.9565221.0
349DEU19921.000000.4435290.9647580.9667930.0343210.0184150.0464000.151515...NaNNaN0.875324NaN0.9661240.777580.0000000.0040250.9565221.0
350DEU19931.000000.4435290.9427310.9070210.0881430.0121820.0109570.121212...NaNNaN0.765220NaN0.8231870.777580.0000000.0058480.9565221.0
351DEU19941.000000.3802200.9030840.8766600.1193450.0185130.0412610.000000...NaNNaN0.670984NaN0.6802500.777580.0000000.0110120.9565221.0
..................................................................
247CHN20160.990020.2464060.0689560.8314610.8677250.8498880.8043160.588235...0.7903080.9774820.042573NaN0.264203NaN0.9744821.0000000.016129NaN
248CHN20170.980040.2120240.0480070.7539330.9174600.8674900.8881690.647059...1.0000000.9887410.030745NaN0.243061NaN0.9844361.0000000.000000NaN
249CHN20180.970060.0000000.0215300.7775280.9421520.9537480.9746990.698529...0.9203041.0000000.019650NaN0.243061NaN1.0000001.0000000.000000NaN
250CHN20190.970060.0000000.0000000.6764051.0000001.0000000.9647300.742647...0.9203041.0000000.009383NaN0.243061NaN1.0000001.0000000.000000NaN
251CHN20200.970060.0000000.0000000.6764051.0000000.9575141.0000000.772059...0.9203041.0000000.000000NaN0.243061NaN1.0000001.0000000.000000NaN
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1509 rows × 24 columns

\n", - "
" - ], - "text/plain": [ - "Indicator Country Year Alcohol per capita Education GExp \\\n", - "347 DEU 1990 1.00000 0.443529 \n", - "348 DEU 1991 1.00000 0.443529 \n", - "349 DEU 1992 1.00000 0.443529 \n", - "350 DEU 1993 1.00000 0.443529 \n", - "351 DEU 1994 1.00000 0.380220 \n", - ".. ... ... ... ... \n", - "247 CHN 2016 0.99002 0.246406 \n", - "248 CHN 2017 0.98004 0.212024 \n", - "249 CHN 2018 0.97006 0.000000 \n", - "250 CHN 2019 0.97006 0.000000 \n", - "251 CHN 2020 0.97006 0.000000 \n", - "\n", - "Indicator Employment-agriculture Employment-industry Employment-services \\\n", - "347 1.000000 1.000000 0.000000 \n", - "348 1.000000 1.000000 0.000000 \n", - "349 0.964758 0.966793 0.034321 \n", - "350 0.942731 0.907021 0.088143 \n", - "351 0.903084 0.876660 0.119345 \n", - ".. ... ... ... \n", - "247 0.068956 0.831461 0.867725 \n", - "248 0.048007 0.753933 0.917460 \n", - "249 0.021530 0.777528 0.942152 \n", - "250 0.000000 0.676405 1.000000 \n", - "251 0.000000 0.676405 1.000000 \n", - "\n", - "Indicator Exports-Commercial services Exports-G&S Fertility rate ... \\\n", - "347 0.002386 0.000000 0.636364 ... \n", - "348 0.000000 0.025535 0.272727 ... \n", - "349 0.018415 0.046400 0.151515 ... \n", - "350 0.012182 0.010957 0.121212 ... \n", - "351 0.018513 0.041261 0.000000 ... \n", - ".. ... ... ... ... \n", - "247 0.849888 0.804316 0.588235 ... \n", - "248 0.867490 0.888169 0.647059 ... \n", - "249 0.953748 0.974699 0.698529 ... \n", - "250 1.000000 0.964730 0.742647 ... \n", - "251 0.957514 1.000000 0.772059 ... \n", - "\n", - "Indicator International taxes Literacy rate Mortality-infants \\\n", - "347 NaN NaN 1.000000 \n", - "348 NaN NaN 1.000000 \n", - "349 NaN NaN 0.875324 \n", - "350 NaN NaN 0.765220 \n", - "351 NaN NaN 0.670984 \n", - ".. ... ... ... \n", - "247 0.790308 0.977482 0.042573 \n", - "248 1.000000 0.988741 0.030745 \n", - "249 0.920304 1.000000 0.019650 \n", - "250 0.920304 1.000000 0.009383 \n", - "251 0.920304 1.000000 0.000000 \n", - "\n", - "Indicator Mortality-pollution Net migration Ninis R&D GExp \\\n", - "347 NaN 0.966124 0.77758 0.000000 \n", - "348 NaN 0.966124 0.77758 0.000000 \n", - "349 NaN 0.966124 0.77758 0.000000 \n", - "350 NaN 0.823187 0.77758 0.000000 \n", - "351 NaN 0.680250 0.77758 0.000000 \n", - ".. ... ... ... ... \n", - "247 NaN 0.264203 NaN 0.974482 \n", - "248 NaN 0.243061 NaN 0.984436 \n", - "249 NaN 0.243061 NaN 1.000000 \n", - "250 NaN 0.243061 NaN 1.000000 \n", - "251 NaN 0.243061 NaN 1.000000 \n", - "\n", - "Indicator Renewable electricity Suicide Workers high education \n", - "347 0.000000 0.956522 1.0 \n", - "348 0.002525 0.956522 1.0 \n", - "349 0.004025 0.956522 1.0 \n", - "350 0.005848 0.956522 1.0 \n", - "351 0.011012 0.956522 1.0 \n", - ".. ... ... ... \n", - "247 1.000000 0.016129 NaN \n", - "248 1.000000 0.000000 NaN \n", - "249 1.000000 0.000000 NaN \n", - "250 1.000000 0.000000 NaN \n", - "251 1.000000 0.000000 NaN \n", - "\n", - "[1509 rows x 24 columns]" - ] - }, - "execution_count": 67, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dat=df.loc[df.loc[:, 'Country'] == country_list[0]]\n", - "datc=dat.interpolate(method=\"linear\")\n", - "datf=datc.fillna(method='bfill')\n", - "datr[col_to_scale]=(datr[col_to_scale]-datr[col_to_scale].min())/(datr[col_to_scale].max()-datr[col_to_scale].min())\n", - "data=datr\n", - "\n", - "for i in range(1,len(country_list)):\n", - " dat=df.loc[df.loc[:, 'Country'] == country_list[i]]\n", - " datc=dat.interpolate(method=\"linear\")\n", - " datc=datc.fillna(method='bfill')\n", - " datc[col_to_scale]=(datc[col_to_scale]-datc[col_to_scale].min())/(datc[col_to_scale].max()-datc[col_to_scale].min())\n", - " data=pd.concat((data, datc), axis = 0)\n", - "data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we will drop the columns which have over 1000 missing values, because the absence of data creates an unreliable source." - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Gender equality\n", - "Mortality-pollution\n" - ] - }, - { - "data": { - "text/html": [ - "
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IndicatorCountryYearAlcohol per capitaEducation GExpEmployment-agricultureEmployment-industryEmployment-servicesExports-Commercial servicesExports-G&SFertility rate...Health services useInternational taxesLiteracy rateMortality-infantsNet migrationNinisR&D GExpRenewable electricitySuicideWorkers high education
347DEU19901.000000.4435291.0000001.0000000.0000000.0023860.0000000.636364...0.000000NaNNaN1.0000000.9661240.777580.0000000.0000000.9565221.0
348DEU19911.000000.4435291.0000001.0000000.0000000.0000000.0255350.272727...0.000000NaNNaN1.0000000.9661240.777580.0000000.0025250.9565221.0
349DEU19921.000000.4435290.9647580.9667930.0343210.0184150.0464000.151515...0.000000NaNNaN0.8753240.9661240.777580.0000000.0040250.9565221.0
350DEU19931.000000.4435290.9427310.9070210.0881430.0121820.0109570.121212...0.000000NaNNaN0.7652200.8231870.777580.0000000.0058480.9565221.0
351DEU19941.000000.3802200.9030840.8766600.1193450.0185130.0412610.000000...0.000000NaNNaN0.6709840.6802500.777580.0000000.0110120.9565221.0
..................................................................
247CHN20160.990020.2464060.0689560.8314610.8677250.8498880.8043160.588235...0.8222410.7903080.9774820.0425730.264203NaN0.9744821.0000000.016129NaN
248CHN20170.980040.2120240.0480070.7539330.9174600.8674900.8881690.647059...0.8680641.0000000.9887410.0307450.243061NaN0.9844361.0000000.000000NaN
249CHN20180.970060.0000000.0215300.7775280.9421520.9537480.9746990.698529...0.9129450.9203041.0000000.0196500.243061NaN1.0000001.0000000.000000NaN
250CHN20190.970060.0000000.0000000.6764051.0000001.0000000.9647300.742647...0.9569100.9203041.0000000.0093830.243061NaN1.0000001.0000000.000000NaN
251CHN20200.970060.0000000.0000000.6764051.0000000.9575141.0000000.772059...1.0000000.9203041.0000000.0000000.243061NaN1.0000001.0000000.000000NaN
\n", - "

1509 rows × 22 columns

\n", - "
" - ], - "text/plain": [ - "Indicator Country Year Alcohol per capita Education GExp \\\n", - "347 DEU 1990 1.00000 0.443529 \n", - "348 DEU 1991 1.00000 0.443529 \n", - "349 DEU 1992 1.00000 0.443529 \n", - "350 DEU 1993 1.00000 0.443529 \n", - "351 DEU 1994 1.00000 0.380220 \n", - ".. ... ... ... ... \n", - "247 CHN 2016 0.99002 0.246406 \n", - "248 CHN 2017 0.98004 0.212024 \n", - "249 CHN 2018 0.97006 0.000000 \n", - "250 CHN 2019 0.97006 0.000000 \n", - "251 CHN 2020 0.97006 0.000000 \n", - "\n", - "Indicator Employment-agriculture Employment-industry Employment-services \\\n", - "347 1.000000 1.000000 0.000000 \n", - "348 1.000000 1.000000 0.000000 \n", - "349 0.964758 0.966793 0.034321 \n", - "350 0.942731 0.907021 0.088143 \n", - "351 0.903084 0.876660 0.119345 \n", - ".. ... ... ... \n", - "247 0.068956 0.831461 0.867725 \n", - "248 0.048007 0.753933 0.917460 \n", - "249 0.021530 0.777528 0.942152 \n", - "250 0.000000 0.676405 1.000000 \n", - "251 0.000000 0.676405 1.000000 \n", - "\n", - "Indicator Exports-Commercial services Exports-G&S Fertility rate ... \\\n", - "347 0.002386 0.000000 0.636364 ... \n", - "348 0.000000 0.025535 0.272727 ... \n", - "349 0.018415 0.046400 0.151515 ... \n", - "350 0.012182 0.010957 0.121212 ... \n", - "351 0.018513 0.041261 0.000000 ... \n", - ".. ... ... ... ... \n", - "247 0.849888 0.804316 0.588235 ... \n", - "248 0.867490 0.888169 0.647059 ... \n", - "249 0.953748 0.974699 0.698529 ... \n", - "250 1.000000 0.964730 0.742647 ... \n", - "251 0.957514 1.000000 0.772059 ... \n", - "\n", - "Indicator Health services use International taxes Literacy rate \\\n", - "347 0.000000 NaN NaN \n", - "348 0.000000 NaN NaN \n", - "349 0.000000 NaN NaN \n", - "350 0.000000 NaN NaN \n", - "351 0.000000 NaN NaN \n", - ".. ... ... ... \n", - "247 0.822241 0.790308 0.977482 \n", - "248 0.868064 1.000000 0.988741 \n", - "249 0.912945 0.920304 1.000000 \n", - "250 0.956910 0.920304 1.000000 \n", - "251 1.000000 0.920304 1.000000 \n", - "\n", - "Indicator Mortality-infants Net migration Ninis R&D GExp \\\n", - "347 1.000000 0.966124 0.77758 0.000000 \n", - "348 1.000000 0.966124 0.77758 0.000000 \n", - "349 0.875324 0.966124 0.77758 0.000000 \n", - "350 0.765220 0.823187 0.77758 0.000000 \n", - "351 0.670984 0.680250 0.77758 0.000000 \n", - ".. ... ... ... ... \n", - "247 0.042573 0.264203 NaN 0.974482 \n", - "248 0.030745 0.243061 NaN 0.984436 \n", - "249 0.019650 0.243061 NaN 1.000000 \n", - "250 0.009383 0.243061 NaN 1.000000 \n", - "251 0.000000 0.243061 NaN 1.000000 \n", - "\n", - "Indicator Renewable electricity Suicide Workers high education \n", - "347 0.000000 0.956522 1.0 \n", - "348 0.002525 0.956522 1.0 \n", - "349 0.004025 0.956522 1.0 \n", - "350 0.005848 0.956522 1.0 \n", - "351 0.011012 0.956522 1.0 \n", - ".. ... ... ... \n", - "247 1.000000 0.016129 NaN \n", - "248 1.000000 0.000000 NaN \n", - "249 1.000000 0.000000 NaN \n", - "250 1.000000 0.000000 NaN \n", - "251 1.000000 0.000000 NaN \n", - "\n", - "[1509 rows x 22 columns]" - ] - }, - "execution_count": 68, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "for i in range(0, len(col_to_scale)):\n", - " if data[col_to_scale[i]].isna().sum()>1000:\n", - " del(data[col_to_scale[i]])\n", - " print(col_to_scale[i])\n", - "data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "As a result we have dropped the *Gender equality* and *Mortality-pollution* variables." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For the next part of analyzing this data, we think it is gonna be interesting to have it classify by the categories of the Country groups defined before, to which we call \"Continent\". This category is useful as it groups the nations with similar economies or geographical proximity, so we can extract common conclusions from them." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We create a dictionary with the regions and the countries included in each one. Where we will relate the countries and regions so then we can apply the .map function and arrive to the final dataframe." - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'DEU': 'Europe', 'FRA': 'Europe', 'SWE': 'Europe', 'GBR': 'Europe', 'ESP': 'Europe', 'HRV': 'Europe', 'POL': 'Europe', 'GRC': 'Europe', 'AUT': 'Europe', 'NLD': 'Europe', 'IRQ': 'Persian Gulf', 'QAT': 'Persian Gulf', 'ARE': 'Persian Gulf', 'SAU': 'Persian Gulf', 'AZE': 'Persian Gulf', 'YEM': 'Persian Gulf', 'YDR': 'Persian Gulf', 'OMN': 'Persian Gulf', 'DZA': 'North Africa', 'EGY': 'North Africa', 'LBY': 'North Africa', 'ISR': 'North Africa', 'TUR': 'North Africa', 'MAR': 'North Africa', 'SEN': 'South Africa', 'ZAF': 'South Africa', 'LBR': 'South Africa', 'MOZ': 'South Africa', 'CMR': 'South Africa', 'NGA': 'South Africa', 'GHA': 'South Africa', 'BGD': 'Asia', 'IND': 'Asia', 'VNM': 'Asia', 'THA': 'Asia', 'IDN': 'Asia', 'PHL': 'Asia', 'KOR': 'Asia', 'MEX': 'Latam', 'BRA': 'Latam', 'ARG': 'Latam', 'PER': 'Latam', 'VEN': 'Latam', 'COL': 'Latam', 'CHL': 'Latam', 'PAN': 'Latam', 'CRI': 'Latam', 'USA': 'Pair', 'CHN': 'Pair'}\n" - ] - } - ], - "source": [ - "countries_by_region = {\n", - " \"Europe\": ('DEU','FRA','SWE','GBR','ESP','HRV','POL','GRC','AUT','NLD'),\n", - " 'Persian Gulf': ('IRQ','QAT','ARE','SAU','AZE','YEM','YDR','OMN'),\n", - " 'North Africa':('DZA','EGY','LBY','ISR','TUR','MAR'),\n", - " 'South Africa':('SEN','ZAF','LBR','MOZ','CMR','NGA','GHA'),\n", - " 'Asia':('BGD','IND','VNM','THA','IDN','PHL','KOR'),\n", - " 'Latam':('MEX','BRA','ARG','PER','VEN','COL','CHL','PAN','CRI'),\n", - " 'Pair':('USA','CHN')\n", - " }\n", - "\n", - "all_countries = {}\n", - "for region in countries_by_region.keys():\n", - " for country in countries_by_region[region]:\n", - " all_countries[country] = region\n", - "\n", - "print(all_countries)" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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IndicatorCountryYearAlcohol per capitaEducation GExpEmployment-agricultureEmployment-industryEmployment-servicesExports-Commercial servicesExports-G&SFertility rate...International taxesLiteracy rateMortality-infantsNet migrationNinisR&D GExpRenewable electricitySuicideWorkers high educationContinent
347DEU19901.000000.4435291.0000001.0000000.0000000.0023860.0000000.636364...NaNNaN1.0000000.9661240.777580.0000000.0000000.9565221.0Europe
348DEU19911.000000.4435291.0000001.0000000.0000000.0000000.0255350.272727...NaNNaN1.0000000.9661240.777580.0000000.0025250.9565221.0Europe
349DEU19921.000000.4435290.9647580.9667930.0343210.0184150.0464000.151515...NaNNaN0.8753240.9661240.777580.0000000.0040250.9565221.0Europe
350DEU19931.000000.4435290.9427310.9070210.0881430.0121820.0109570.121212...NaNNaN0.7652200.8231870.777580.0000000.0058480.9565221.0Europe
351DEU19941.000000.3802200.9030840.8766600.1193450.0185130.0412610.000000...NaNNaN0.6709840.6802500.777580.0000000.0110120.9565221.0Europe
..................................................................
247CHN20160.990020.2464060.0689560.8314610.8677250.8498880.8043160.588235...0.7903080.9774820.0425730.264203NaN0.9744821.0000000.016129NaNPair
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1509 rows × 23 columns

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" - ], - "text/plain": [ - "Indicator Country Year Alcohol per capita Education GExp \\\n", - "347 DEU 1990 1.00000 0.443529 \n", - "348 DEU 1991 1.00000 0.443529 \n", - "349 DEU 1992 1.00000 0.443529 \n", - "350 DEU 1993 1.00000 0.443529 \n", - "351 DEU 1994 1.00000 0.380220 \n", - ".. ... ... ... ... \n", - "247 CHN 2016 0.99002 0.246406 \n", - "248 CHN 2017 0.98004 0.212024 \n", - "249 CHN 2018 0.97006 0.000000 \n", - "250 CHN 2019 0.97006 0.000000 \n", - "251 CHN 2020 0.97006 0.000000 \n", - "\n", - "Indicator Employment-agriculture Employment-industry Employment-services \\\n", - "347 1.000000 1.000000 0.000000 \n", - "348 1.000000 1.000000 0.000000 \n", - "349 0.964758 0.966793 0.034321 \n", - "350 0.942731 0.907021 0.088143 \n", - "351 0.903084 0.876660 0.119345 \n", - ".. ... ... ... \n", - "247 0.068956 0.831461 0.867725 \n", - "248 0.048007 0.753933 0.917460 \n", - "249 0.021530 0.777528 0.942152 \n", - "250 0.000000 0.676405 1.000000 \n", - "251 0.000000 0.676405 1.000000 \n", - "\n", - "Indicator Exports-Commercial services Exports-G&S Fertility rate ... \\\n", - "347 0.002386 0.000000 0.636364 ... \n", - "348 0.000000 0.025535 0.272727 ... \n", - "349 0.018415 0.046400 0.151515 ... \n", - "350 0.012182 0.010957 0.121212 ... \n", - "351 0.018513 0.041261 0.000000 ... \n", - ".. ... ... ... ... \n", - "247 0.849888 0.804316 0.588235 ... \n", - "248 0.867490 0.888169 0.647059 ... \n", - "249 0.953748 0.974699 0.698529 ... \n", - "250 1.000000 0.964730 0.742647 ... \n", - "251 0.957514 1.000000 0.772059 ... \n", - "\n", - "Indicator International taxes Literacy rate Mortality-infants \\\n", - "347 NaN NaN 1.000000 \n", - "348 NaN NaN 1.000000 \n", - "349 NaN NaN 0.875324 \n", - "350 NaN NaN 0.765220 \n", - "351 NaN NaN 0.670984 \n", - ".. ... ... ... \n", - "247 0.790308 0.977482 0.042573 \n", - "248 1.000000 0.988741 0.030745 \n", - "249 0.920304 1.000000 0.019650 \n", - "250 0.920304 1.000000 0.009383 \n", - "251 0.920304 1.000000 0.000000 \n", - "\n", - "Indicator Net migration Ninis R&D GExp Renewable electricity Suicide \\\n", - "347 0.966124 0.77758 0.000000 0.000000 0.956522 \n", - "348 0.966124 0.77758 0.000000 0.002525 0.956522 \n", - "349 0.966124 0.77758 0.000000 0.004025 0.956522 \n", - "350 0.823187 0.77758 0.000000 0.005848 0.956522 \n", - "351 0.680250 0.77758 0.000000 0.011012 0.956522 \n", - ".. ... ... ... ... ... \n", - "247 0.264203 NaN 0.974482 1.000000 0.016129 \n", - "248 0.243061 NaN 0.984436 1.000000 0.000000 \n", - "249 0.243061 NaN 1.000000 1.000000 0.000000 \n", - "250 0.243061 NaN 1.000000 1.000000 0.000000 \n", - "251 0.243061 NaN 1.000000 1.000000 0.000000 \n", - "\n", - "Indicator Workers high education Continent \n", - "347 1.0 Europe \n", - "348 1.0 Europe \n", - "349 1.0 Europe \n", - "350 1.0 Europe \n", - "351 1.0 Europe \n", - ".. ... ... \n", - "247 NaN Pair \n", - "248 NaN Pair \n", - "249 NaN Pair \n", - "250 NaN Pair \n", - "251 NaN Pair \n", - "\n", - "[1509 rows x 23 columns]" - ] - }, - "execution_count": 70, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data['Continent']=data['Country'].map(all_countries)\n", - "Goldendataframe=data\n", - "Goldendataframe" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With that all, we export our dataframe all-in-one and by the continent category." - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": {}, - "outputs": [], - "source": [ - "Goldendataframe.to_csv(os.getcwd()+'/Data/GoldenDataFrame.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": {}, - "outputs": [], - "source": [ - "for region, data in Goldendataframe.groupby('Continent'):\n", - " data.to_csv(os.getcwd()+'/Data/{}.csv'.format(region))" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.4 ('.venv': poetry)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.4" - }, - "vscode": { - "interpreter": { - "hash": "292912297167048338b5d1136ec8c661b8a2f1d3fcecd6650d637809a967c218" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/WDI-Data visualization (Case).ipynb b/WDI-Data visualization (Case).ipynb deleted file mode 100644 index f13019d..0000000 --- a/WDI-Data visualization (Case).ipynb +++ /dev/null @@ -1,23619 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Correlation matrix and visualization of variables and GDP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### This is the master notebook, please copy and create a new one for each group." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "from scipy import stats\n", - "from scipy.stats import shapiro\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "import warnings\n", - "warnings.filterwarnings(\"ignore\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Unnamed: 0CountryYearAlcohol per capitaEducation GExpEmployment-agricultureEmployment-industryEmployment-servicesExports-Commercial servicesExports-G&S...Literacy rateMortality-infantsMortality-pollutionNet migrationNinisR&D GExpRenewable electricitySuicideWorkers high educationContinent
0880MEX19900.9679490.0000001.0000000.4684380.0000000.0000000.000000...0.0000001.000000NaN0.1392140.8144330.0000000.0000000.000000.497584Latam
1881MEX19910.9679490.0000001.0000000.4684380.0000000.0866270.005844...0.0380820.941673NaN0.1392140.8144330.0000000.0000000.000000.497584Latam
2882MEX19920.9679490.0000000.9802560.4285720.0330300.1593430.014734...0.0761650.884159NaN0.1392140.8144330.0000000.2779810.000000.497584Latam
3883MEX19930.9679490.3582720.9593500.3787380.0706150.2206280.028455...0.1142470.828258NaN0.1113710.8144330.0000000.3636880.000000.497584Latam
4884MEX19940.9679490.7165440.9303140.3554820.1070620.3838410.049046...0.1523290.773986NaN0.0835290.8144330.0000000.2841840.000000.497584Latam
..................................................................
246342CRI20160.0464140.7149230.2887500.2154470.7512600.8131670.828978...0.9563920.109116NaN0.0153660.7790700.6215101.0000000.781250.108000Latam
247343CRI20170.0928270.8574610.3350000.1991870.7394960.8190920.901126...0.9781960.098066NaN0.0192070.6465120.5698951.0000000.281250.150666Latam
248344CRI20180.1392411.0000000.3125000.3231710.6812320.9382190.963286...1.0000000.078729NaN0.0192070.3953490.3807151.0000000.625000.117333Latam
249345CRI20190.1392410.8356350.2587500.2347560.7535011.0000001.000000...1.0000000.046961NaN0.0192070.1348840.3807151.0000000.906250.653333Latam
250346CRI20200.1392410.5133040.2587500.2347560.7535010.7589530.884100...1.0000000.000000NaN0.0192070.6604650.3807151.0000000.906250.417333Latam
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251 rows × 26 columns

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" - ], - "text/plain": [ - " Unnamed: 0 Country Year Alcohol per capita Education GExp \\\n", - "0 880 MEX 1990 0.967949 0.000000 \n", - "1 881 MEX 1991 0.967949 0.000000 \n", - "2 882 MEX 1992 0.967949 0.000000 \n", - "3 883 MEX 1993 0.967949 0.358272 \n", - "4 884 MEX 1994 0.967949 0.716544 \n", - ".. ... ... ... ... ... \n", - "246 342 CRI 2016 0.046414 0.714923 \n", - "247 343 CRI 2017 0.092827 0.857461 \n", - "248 344 CRI 2018 0.139241 1.000000 \n", - "249 345 CRI 2019 0.139241 0.835635 \n", - "250 346 CRI 2020 0.139241 0.513304 \n", - "\n", - " Employment-agriculture Employment-industry Employment-services \\\n", - "0 1.000000 0.468438 0.000000 \n", - "1 1.000000 0.468438 0.000000 \n", - "2 0.980256 0.428572 0.033030 \n", - "3 0.959350 0.378738 0.070615 \n", - "4 0.930314 0.355482 0.107062 \n", - ".. ... ... ... \n", - "246 0.288750 0.215447 0.751260 \n", - "247 0.335000 0.199187 0.739496 \n", - "248 0.312500 0.323171 0.681232 \n", - "249 0.258750 0.234756 0.753501 \n", - "250 0.258750 0.234756 0.753501 \n", - "\n", - " Exports-Commercial services Exports-G&S ... Literacy rate \\\n", - "0 0.000000 0.000000 ... 0.000000 \n", - "1 0.086627 0.005844 ... 0.038082 \n", - "2 0.159343 0.014734 ... 0.076165 \n", - "3 0.220628 0.028455 ... 0.114247 \n", - "4 0.383841 0.049046 ... 0.152329 \n", - ".. ... ... ... ... \n", - "246 0.813167 0.828978 ... 0.956392 \n", - "247 0.819092 0.901126 ... 0.978196 \n", - "248 0.938219 0.963286 ... 1.000000 \n", - "249 1.000000 1.000000 ... 1.000000 \n", - "250 0.758953 0.884100 ... 1.000000 \n", - "\n", - " Mortality-infants Mortality-pollution Net migration Ninis \\\n", - "0 1.000000 NaN 0.139214 0.814433 \n", - "1 0.941673 NaN 0.139214 0.814433 \n", - "2 0.884159 NaN 0.139214 0.814433 \n", - "3 0.828258 NaN 0.111371 0.814433 \n", - "4 0.773986 NaN 0.083529 0.814433 \n", - ".. ... ... ... ... \n", - "246 0.109116 NaN 0.015366 0.779070 \n", - "247 0.098066 NaN 0.019207 0.646512 \n", - "248 0.078729 NaN 0.019207 0.395349 \n", - "249 0.046961 NaN 0.019207 0.134884 \n", - "250 0.000000 NaN 0.019207 0.660465 \n", - "\n", - " R&D GExp Renewable electricity Suicide Workers high education \\\n", - "0 0.000000 0.000000 0.00000 0.497584 \n", - "1 0.000000 0.000000 0.00000 0.497584 \n", - "2 0.000000 0.277981 0.00000 0.497584 \n", - "3 0.000000 0.363688 0.00000 0.497584 \n", - "4 0.000000 0.284184 0.00000 0.497584 \n", - ".. ... ... ... ... \n", - "246 0.621510 1.000000 0.78125 0.108000 \n", - "247 0.569895 1.000000 0.28125 0.150666 \n", - "248 0.380715 1.000000 0.62500 0.117333 \n", - "249 0.380715 1.000000 0.90625 0.653333 \n", - "250 0.380715 1.000000 0.90625 0.417333 \n", - "\n", - " Continent \n", - "0 Latam \n", - "1 Latam \n", - "2 Latam \n", - "3 Latam \n", - "4 Latam \n", - ".. ... \n", - "246 Latam \n", - "247 Latam \n", - "248 Latam \n", - "249 Latam \n", - "250 Latam \n", - "\n", - "[251 rows x 26 columns]" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df= pd.read_csv (os.getcwd()+'\\\\Data'+'\\\\Latam.csv')\n", - "df" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Visualization" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "STEP 0: Line graphs by country to anticipate which correlations are we looking for." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: plotly in c:\\users\\mferna38\\documents\\github\\python-data-driven-decisions\\.venv\\lib\\site-packages (5.9.0)\n", - "Requirement already satisfied: tenacity>=6.2.0 in c:\\users\\mferna38\\documents\\github\\python-data-driven-decisions\\.venv\\lib\\site-packages (from plotly) (8.0.1)\n", - "Note: you may need to restart the kernel to use updated packages.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: You are using pip version 22.0.3; however, version 22.1.2 is available.\n", - "You should consider upgrading via the 'c:\\Users\\mferna38\\Documents\\GitHub\\python-data-driven-decisions\\.venv\\Scripts\\python.exe -m pip install --upgrade pip' command.\n" - ] - } - ], - "source": [ - "pip install plotly" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import plotly.express as px" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "myvariables=['Alcohol per capita',\n", - " 'Education GExp',\n", - " 'Employment-agriculture',\n", - " 'Employment-industry',\n", - " 'Employment-services',\n", - " 'Exports-Commercial services',\n", - " 'Exports-G&S',\n", - " 'Fertility rate',\n", - " 'Foreign investment',\n", - " 'GDP',\n", - " 'Health services use',\n", - " 'International taxes',\n", - " 'Literacy rate',\n", - " 'Mortality-infants',\n", - " 'Net migration',\n", - " 'Ninis',\n", - " 'R&D GExp',\n", - " 'Renewable electricity',\n", - " 'Suicide',\n", - " 'Workers high education']\n", - "latam_list=['MEX','BRA','ARG','PER','VEN','COL','CHL','PAN','CRI']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "hovertemplate": "variable=Alcohol per capita
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}, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "title": { - "text": "CRI" - }, - "width": 800, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "Year" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "title": { - "text": "value" - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "for i in range(0,len(latam_list)):\n", - " dat=df.loc[df.loc[:, 'Country'] == latam_list[i]]\n", - " a=px.line(dat, x=\"Year\", y=myvariables, width=800, height=600,title=latam_list[i])\n", - " display(a)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "columns=['Country','Year','Gender equality','Exports-Commercial services','Renewable electricity','Employment-agriculture','Employment-industry','Employment-services','Exports-G&S','Fertility rate','Foreign investment','GDP','Education GExp','Workers high education','Literacy rate','Mortality-pollution','Net migration','Mortality-infants','Health services use','R&D GExp','Ninis','Suicide','International taxes','Alcohol per capita']\n", - "clist=df['Country'].unique()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following loop has been created to test if each variable for each country follows a normal distribution and also to present in an orderly manner all the correlations between the GDP and the variables so they can be understood on a lower scale." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def multcolumn(frame):\n", - " for u in range(2, len(columns)):\n", - " name2=columns[u]+'.^2'\n", - " name3=columns[u]+'.^3'\n", - " namelog=columns[u]+'.log'\n", - " frame.loc[:,name2] = frame[columns[u]]**2\n", - " frame.loc[:,name3] = frame[columns[u]]**3\n", - " frame.loc[:,namelog] = np.log(frame[columns[u]])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "MEX-Gender equality\n", - "Statistical=0.957, p=0.247\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Exports-Commercial services\n", - "Statistical=0.734, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "MEX-Renewable electricity\n", - "Statistical=0.964, p=0.361\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Employment-agriculture\n", - "Statistical=0.852, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "MEX-Employment-industry\n", - "Statistical=0.960, p=0.291\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Employment-services\n", - "Statistical=0.872, p=0.002\n", - "It does NOT seem normal( Denies H0 )\n", - "MEX-Exports-G&S\n", - "Statistical=0.951, p=0.169\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Fertility rate\n", - "Statistical=0.927, p=0.036\n", - "It does NOT seem normal( Denies H0 )\n", - "MEX-Foreign investment\n", - "Statistical=0.929, p=0.042\n", - "It does NOT seem normal( Denies H0 )\n", - "MEX-GDP\n", - "Statistical=0.967, p=0.445\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Education GExp\n", - "Statistical=0.928, p=0.039\n", - "It does NOT seem normal( Denies H0 )\n", - "MEX-Workers high education\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-Literacy rate\n", - "Statistical=0.856, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "MEX-Mortality-pollution\n", - "Statistical=0.926, p=0.035\n", - "It does NOT seem normal( Denies H0 )\n", - "MEX-Net migration\n", - "Statistical=0.931, p=0.046\n", - "It does NOT seem normal( Denies H0 )\n", - "MEX-Mortality-infants\n", - "Statistical=0.927, p=0.036\n", - "It does NOT seem normal( Denies H0 )\n", - "MEX-Health services use\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "MEX-R&D GExp\n", - "Statistical=0.780, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "MEX-Ninis\n", - "Statistical=0.751, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "MEX-Suicide\n", - "Statistical=0.928, p=0.038\n", - "It does NOT seem normal( Denies H0 )\n", - "MEX-International taxes\n", - "Statistical=0.862, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - 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 IndicatorTypeGDP-R^2Behaviour
2Employment-agricultureNone0.921578Negative
4Exports-G&SNone0.920006Positive
3Employment-servicesNone0.915810Positive
9Mortality-infantsNone0.912197Negative
8Literacy rateNone0.910581Positive
5Fertility rateNone0.896893Negative
11Net migrationCuadratic0.828048Positive
7Health services useNone0.798128Positive
10SuicideNone0.785826Positive
12Alcohol per capitaCuadratic0.752071Negative
\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "BRA-Gender equality\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Exports-Commercial services\n", - "Statistical=0.824, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Renewable electricity\n", - "Statistical=0.875, p=0.002\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Employment-agriculture\n", - "Statistical=0.904, p=0.008\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Employment-industry\n", - "Statistical=0.890, p=0.003\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Employment-services\n", - "Statistical=0.932, p=0.045\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Exports-G&S\n", - "Statistical=0.846, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Fertility rate\n", - "Statistical=0.866, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Foreign investment\n", - "Statistical=0.861, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-GDP\n", - "Statistical=0.937, p=0.062\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Education GExp\n", - "Statistical=0.907, p=0.009\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Workers high education\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-Literacy rate\n", - "Statistical=0.856, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Mortality-pollution\n", - "Statistical=0.672, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Net migration\n", - "Statistical=0.785, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Mortality-infants\n", - "Statistical=0.861, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Health services use\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "BRA-R&D GExp\n", - "Statistical=0.679, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Ninis\n", - "Statistical=0.834, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Suicide\n", - "Statistical=0.906, p=0.009\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-International taxes\n", - "Statistical=0.797, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA-Alcohol per capita\n", - "Statistical=0.842, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "BRA\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
 IndicatorTypeGDP-R^2Behaviour
5Exports-G&SCuadratic0.910308Positive
0Exports-Commercial servicesNone0.906864Positive
1Foreign investmentNone0.785408Negative
6Fertility rateLogarithmic0.775957Negative
4Employment-agricultureCuadratic0.770973Negative
3Renewable electricityNone0.756093Positive
\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ARG-Gender equality\n", - "Statistical=0.957, p=0.247\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Exports-Commercial services\n", - "Statistical=0.767, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-Renewable electricity\n", - "Statistical=0.879, p=0.002\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-Employment-agriculture\n", - "Statistical=0.956, p=0.227\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Employment-industry\n", - "Statistical=0.915, p=0.017\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-Employment-services\n", - "Statistical=0.932, p=0.048\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-Exports-G&S\n", - "Statistical=0.864, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-Fertility rate\n", - "Statistical=0.907, p=0.011\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-Foreign investment\n", - "Statistical=0.880, p=0.002\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-GDP\n", - "Statistical=0.898, p=0.006\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-Education GExp\n", - "Statistical=0.931, p=0.047\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-Workers high education\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Literacy rate\n", - "Statistical=0.827, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-Mortality-pollution\n", - "Statistical=0.776, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-Net migration\n", - "Statistical=0.745, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-Mortality-infants\n", - "Statistical=0.954, p=0.204\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-Health services use\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "ARG-R&D GExp\n", - "Statistical=0.737, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-Ninis\n", - "Statistical=0.772, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-Suicide\n", - "Statistical=0.843, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-International taxes\n", - "Statistical=0.871, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG-Alcohol per capita\n", - "Statistical=0.909, p=0.012\n", - "It does NOT seem normal( Denies H0 )\n", - "ARG\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
 IndicatorTypeGDP-R^2Behaviour
1Literacy rateNone0.843882Positive
3Exports-Commercial servicesCuadratic0.835598Positive
6Alcohol per capitaLogarithmic0.835137Positive
2Net migrationNone0.814017Positive
5R&D GExpLogarithmic0.783710Positive
4Renewable electricityCubic0.769916Positive
\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PER-Gender equality\n", - "Statistical=0.957, p=0.229\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Exports-Commercial services\n", - "Statistical=0.918, p=0.018\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-Renewable electricity\n", - "Statistical=0.866, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-Employment-agriculture\n", - "Statistical=0.811, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-Employment-industry\n", - "Statistical=0.951, p=0.154\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Employment-services\n", - "Statistical=0.904, p=0.008\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-Exports-G&S\n", - "Statistical=0.861, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-Fertility rate\n", - "Statistical=0.848, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-Foreign investment\n", - "Statistical=0.905, p=0.008\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-GDP\n", - "Statistical=0.915, p=0.015\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-Education GExp\n", - "Statistical=0.845, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-Workers high education\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Literacy rate\n", - "Statistical=0.858, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-Mortality-pollution\n", - "Statistical=0.936, p=0.058\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-Net migration\n", - "Statistical=0.772, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-Mortality-infants\n", - "Statistical=0.865, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-Health services use\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "PER-R&D GExp\n", - "Statistical=0.919, p=0.019\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-Ninis\n", - "Statistical=0.854, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-Suicide\n", - "Statistical=0.873, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-International taxes\n", - "Statistical=0.770, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "PER-Alcohol per capita\n", - "Statistical=0.924, p=0.026\n", - "It does NOT seem normal( Denies H0 )\n", - "PER\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
 IndicatorTypeGDP-R^2Behaviour
7Literacy rateNone0.981591Positive
8Renewable electricityCuadratic0.964792Positive
6Health services useNone0.950532Positive
4Exports-G&SNone0.949986Positive
9Employment-servicesCuadratic0.929864Positive
11Mortality-infantsLogarithmic0.912324Negative
2Employment-agricultureNone0.901629Negative
10Fertility rateLogarithmic0.863525Negative
3Exports-Commercial servicesNone0.832625Positive
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 IndicatorTypeGDP-R^2Behaviour
7Net migrationNone0.956769Negative
9SuicideNone0.950687Negative
5Health services useNone0.941372Positive
6Literacy rateNone0.929998Positive
11Fertility rateLogarithmic0.860478Negative
13Alcohol per capitaCubic0.846460Negative
10Employment-agricultureLogarithmic0.846406Negative
8NinisNone0.797741Positive
12R&D GExpLogarithmic0.791297Positive
3Exports-G&SNone0.777485Positive
2Employment-servicesNone0.773967Positive
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 IndicatorTypeGDP-R^2Behaviour
5Exports-G&SNone0.964646Positive
11NinisNone0.917990Negative
2Employment-agricultureNone0.894700Negative
4Exports-Commercial servicesNone0.879453Positive
13Renewable electricityCubic0.869699Positive
15Net migrationCubic0.864357Positive
6Fertility rateNone0.830613Negative
3Employment-servicesNone0.814804Positive
10Mortality-infantsNone0.813618Negative
8Health services useNone0.806753Positive
12SuicideNone0.779785Negative
14Workers high educationCubic0.754164Negative
9Literacy rateNone0.750022Positive
\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CHL-Gender equality\n", - "Statistical=0.957, p=0.247\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Exports-Commercial services\n", - "Statistical=0.771, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-Renewable electricity\n", - "Statistical=0.933, p=0.053\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Employment-agriculture\n", - "Statistical=0.925, p=0.033\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-Employment-industry\n", - "Statistical=0.843, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-Employment-services\n", - "Statistical=0.921, p=0.025\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-Exports-G&S\n", - "Statistical=0.924, p=0.031\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-Fertility rate\n", - "Statistical=0.847, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-Foreign investment\n", - "Statistical=0.912, p=0.015\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-GDP\n", - "Statistical=0.963, p=0.348\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Education GExp\n", - "Statistical=0.865, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-Workers high education\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Literacy rate\n", - "Statistical=0.835, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-Mortality-pollution\n", - "Statistical=0.867, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-Net migration\n", - "Statistical=0.851, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-Mortality-infants\n", - "Statistical=0.848, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-Health services use\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-R&D GExp\n", - "Statistical=0.833, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-Ninis\n", - "Statistical=0.984, p=0.910\n", - "Data is NORMAL ( H0 not denied )\n", - "CHL-Suicide\n", - "Statistical=0.728, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-International taxes\n", - "Statistical=0.903, p=0.009\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL-Alcohol per capita\n", - "Statistical=0.925, p=0.032\n", - "It does NOT seem normal( Denies H0 )\n", - "CHL\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
 IndicatorTypeGDP-R^2Behaviour
10Net migrationCuadratic0.970016Positive
6Health services useNone0.947701Positive
4Exports-G&SNone0.918738Positive
7Employment-agricultureLogarithmic0.905977Negative
8Employment-servicesCuadratic0.901296Positive
9Workers high educationCubic0.889408Negative
3Exports-Commercial servicesNone0.828029Positive
2Education GExpNone0.798479Positive
11Mortality-infantsLogarithmic0.764060Negative
\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CRI-Gender equality\n", - "Statistical=0.957, p=0.247\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Exports-Commercial services\n", - "Statistical=0.764, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-Renewable electricity\n", - "Statistical=0.941, p=0.086\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Employment-agriculture\n", - "Statistical=0.904, p=0.009\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-Employment-industry\n", - "Statistical=0.951, p=0.163\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Employment-services\n", - "Statistical=0.938, p=0.071\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Exports-G&S\n", - "Statistical=0.913, p=0.016\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-Fertility rate\n", - "Statistical=0.927, p=0.037\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-Foreign investment\n", - "Statistical=0.856, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-GDP\n", - "Statistical=0.888, p=0.004\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-Education GExp\n", - "Statistical=0.861, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-Workers high education\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-Literacy rate\n", - "Statistical=0.852, p=0.001\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-Mortality-pollution\n", - "Statistical=0.821, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-Net migration\n", - "Statistical=0.816, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-Mortality-infants\n", - "Statistical=0.915, p=0.017\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-Health services use\n", - "Statistical=nan, p=1.000\n", - "Data is NORMAL ( H0 not denied )\n", - "CRI-R&D GExp\n", - "Statistical=0.838, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-Ninis\n", - "Statistical=0.830, p=0.000\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-Suicide\n", - "Statistical=0.929, p=0.042\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-International taxes\n", - "Statistical=0.927, p=0.037\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI-Alcohol per capita\n", - "Statistical=0.914, p=0.017\n", - "It does NOT seem normal( Denies H0 )\n", - "CRI\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
 IndicatorTypeGDP-R^2Behaviour
16Literacy rateCuadratic0.982076Positive
6Exports-G&SNone0.979859Positive
9Health services useNone0.977659Positive
10International taxesNone0.971802Positive
5Exports-Commercial servicesNone0.970797Positive
11Renewable electricityCuadratic0.959768Positive
18Mortality-infantsLogarithmic0.924853Negative
13Fertility rateLogarithmic0.923296Negative
17Net migrationLogarithmic0.900249Negative
2Alcohol per capitaNone0.871295Negative
12Employment-industryLogarithmic0.842319Negative
7Foreign investmentNone0.839332Negative
4Employment-servicesNone0.809260Positive
15Workers high educationCubic0.775853Negative
14Education GExpCuadratic0.771182Positive
3Employment-agricultureNone0.758186Negative
\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "multcolumn(df)\n", - "for i in range(0,len(clist)):\n", - " dat=df.loc[df.loc[:, 'Country'] == clist[i]]\n", - " for e in range(2,len(columns)):\n", - " data=dat.iloc[:, e]\n", - " stat, p = shapiro(data)\n", - " print(clist[i] +\"-\"+ columns[e])\n", - " print('Statistical=%.3f, p=%.3f' % (stat, p))\n", - " alpha = 0.05\n", - " if p > alpha:\n", - " print('Data is NORMAL ( H0 not denied )')\n", - " else:\n", - " print('It does NOT seem normal( Denies H0 )')\n", - " print(clist[i])\n", - " cor=dat.corr()\n", - " cor.loc[:,'GDP-R^2']=cor['GDP']**2\n", - " cor.loc[:,'Indicator']=cor.index \n", - " cor[['Indicator','Type']]=cor.Indicator.str.split('.',expand=True)\n", - " corcolumn=cor[['Indicator','Type', 'GDP-R^2','GDP']]\n", - " corcolumn=corcolumn.loc[corcolumn.loc[:,'GDP-R^2']>=0.75]\n", - " id=corcolumn.groupby('Indicator')['GDP-R^2'].transform(max)==corcolumn['GDP-R^2']\n", - " corcolumn[id]\n", - " max_df=pd.DataFrame(corcolumn[id])\n", - " max_df['Behaviour']=np.where(max_df['GDP']>0, 'Positive', 'Negative')\n", - " max_df['Type']=max_df['Type'].replace(['None','^2','^3','log'],['Linear','Cuadratic','Cubic','Logarithmic'])\n", - " max_df.drop(\"GDP\",axis=1,inplace=True)\n", - " max_df=max_df.reset_index(drop=True)\n", - " max_df = max_df.drop(max_df[max_df['Indicator']=='Year'].index)\n", - " max_df = max_df.drop(max_df[max_df['Indicator']=='GDP'].index)\n", - " max_df = max_df.drop(max_df[max_df['Indicator']=='Unnamed: 0'].index)\n", - " max_df=max_df.sort_values(by = 'GDP-R^2',ascending = False).style.background_gradient()\n", - " display(max_df)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.4 ('.venv': poetry)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.4" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "292912297167048338b5d1136ec8c661b8a2f1d3fcecd6650d637809a967c218" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -}

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[], "source": [ @@ -10683,6 +10683,35 @@ "final_moved" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There is an interesting phenomenon, in some cases there are correlations that have a high coefficient and also an adequate graphics, but they do not make sense in the analysis, these are called spurious correlations. Here are some examples:\n", + "![Cheese consumption VS. People killed by becoming tangled in their bedsheets](os.getcwd()+'/Logos/'+'chart%(1).png')\n", + "![People drowned VS. Nicolas Cage appearences](os.getcwd()+'/Logos/'+'chart.png')\n", + "Therefore, we have to be carefull with our results because correlation does not imply causation, it may have happened by chance that both variables are really similar.\n", + "So, after some thought and experimenting, we have developed a method that will allow us to find out if the correlation has happened by chance or if there is really a correlation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This method, consists of the following:\n", + "\n", + "\n", + "Firstly we have classified the indicators by a group, which can be one of the following: *A&D*, *Agriculture*, *Demography*, *Economy*, *Employment*, *Environment*, *Equality*, *Exports*, *Health*, *Mortality* or *Principal*. Moreover inside each group we have also assigned each varible a level, *primary* or *secondary*, depending on their level of relevance. For example we have consider more relevant the *Population in the largest city* over the *Rural population*, thus the first will be *primary* and the latter *secondary*, while both are part of the *Demography* group. \n", + "\n", + "With this set, we can expose our hypothesis:\n", + "\n", + "\"It is assumed that the correlation in the primary indicators can be caused by randomness, however if this correlation also appears in the secondary indicators for at least 80% of the countries that appears in the primaries (Pareto's rule), we can suppose that there is no randomness affecting each group. Furthermore, the first assumption has to happen in 80% of the secondary indicators to avoid any fortuity.\" \n", + "\n", + "This hypothesis can be used in a global level, all the countries, or in the different regions. \n", + "\n", + "For example if a primary indicator is repeated 20 times the secondary indicators must have repeated 18 times. And if there are 10 secondary indicators, it has to happen for, at least, 8 indicators.\n" + ] + }, { "cell_type": "code", "execution_count": 10, @@ -11292,7 +11321,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -11302,7 +11331,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -11314,7 +11343,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -11741,7 +11770,7 @@ "Principal 100.000000 " ] }, - "execution_count": 21, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } From 5fa6be18513e62f5dca76ec4df776825d1e72a9b Mon Sep 17 00:00:00 2001 From: amarchve Date: Tue, 2 Aug 2022 09:19:22 +0200 Subject: [PATCH 48/86] Casuallity hypothesis finshed --- Logos/chart (1).jpeg | Bin 0 -> 119562 bytes Logos/chart (1).png | Bin 117646 -> 0 bytes Logos/chart 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